2022/08/03 09:05:33 - mmengine - INFO - load model from: https://download.pytorch.org/models/resnet50-11ad3fa6.pth 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.conv_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.bn_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.0.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.conv_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.bn_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer2.2.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.conv_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.bn_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.0.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.conv_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.bn_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.2.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.g.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.conv_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.bn_out 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.theta 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - WARNING - Module not exist in the state_dict_r2d: layer3.4.non_local_block.phi.0 2022/08/03 09:05:35 - mmengine - INFO - These parameters in the 2d checkpoint are not loaded: {'fc.bias', 'fc.weight'} 2022/08/03 09:05:35 - mmengine - INFO - Checkpoints will be saved to /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb by HardDiskBackend. 2022/08/03 09:07:29 - mmengine - INFO - Epoch(train) [1][20/1879] lr: 1.0000e-03 eta: 31 days, 18:09:04 time: 5.7042 data_time: 3.2738 memory: 54709 grad_norm: 1.4430 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9967 loss: 5.9967 2022/08/03 09:07:38 - mmengine - INFO - Epoch(train) [1][40/1879] lr: 1.0000e-03 eta: 17 days, 1:43:20 time: 0.4291 data_time: 0.0197 memory: 17087 grad_norm: 1.3785 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 5.9888 loss: 5.9888 2022/08/03 09:07:46 - mmengine - INFO - Epoch(train) [1][60/1879] lr: 1.0000e-03 eta: 12 days, 3:55:12 time: 0.4218 data_time: 0.0102 memory: 17087 grad_norm: 1.3713 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9855 loss: 5.9855 2022/08/03 09:07:55 - mmengine - INFO - Epoch(train) [1][80/1879] lr: 1.0000e-03 eta: 9 days, 17:41:44 time: 0.4421 data_time: 0.0167 memory: 17087 grad_norm: 1.3441 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9743 loss: 5.9743 2022/08/03 09:08:04 - mmengine - INFO - Epoch(train) [1][100/1879] lr: 1.0000e-03 eta: 8 days, 6:25:21 time: 0.4294 data_time: 0.0151 memory: 17087 grad_norm: 1.3537 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9576 loss: 5.9576 2022/08/03 09:08:12 - mmengine - INFO - Epoch(train) [1][120/1879] lr: 1.0000e-03 eta: 7 days, 6:45:38 time: 0.4229 data_time: 0.0147 memory: 17087 grad_norm: 1.3746 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9653 loss: 5.9653 2022/08/03 09:08:21 - mmengine - INFO - Epoch(train) [1][140/1879] lr: 1.0000e-03 eta: 6 days, 14:05:35 time: 0.4352 data_time: 0.0136 memory: 17087 grad_norm: 1.3977 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9642 loss: 5.9642 2022/08/03 09:08:30 - mmengine - INFO - Epoch(train) [1][160/1879] lr: 1.0000e-03 eta: 6 days, 1:31:06 time: 0.4308 data_time: 0.0142 memory: 17087 grad_norm: 1.4500 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9633 loss: 5.9633 2022/08/03 09:08:38 - mmengine - INFO - Epoch(train) [1][180/1879] lr: 1.0000e-03 eta: 5 days, 15:39:45 time: 0.4257 data_time: 0.0165 memory: 17087 grad_norm: 1.4874 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.9596 loss: 5.9596 2022/08/03 09:08:47 - mmengine - INFO - Epoch(train) [1][200/1879] lr: 1.0000e-03 eta: 5 days, 7:42:59 time: 0.4212 data_time: 0.0156 memory: 17087 grad_norm: 1.5648 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9426 loss: 5.9426 2022/08/03 09:08:55 - mmengine - INFO - Epoch(train) [1][220/1879] lr: 1.0000e-03 eta: 5 days, 1:27:27 time: 0.4412 data_time: 0.0138 memory: 17087 grad_norm: 1.6118 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 5.9375 loss: 5.9375 2022/08/03 09:09:04 - mmengine - INFO - Epoch(train) [1][240/1879] lr: 1.0000e-03 eta: 4 days, 20:04:06 time: 0.4256 data_time: 0.0177 memory: 17087 grad_norm: 1.6791 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.9336 loss: 5.9336 2022/08/03 09:09:12 - mmengine - INFO - Epoch(train) [1][260/1879] lr: 1.0000e-03 eta: 4 days, 15:27:45 time: 0.4212 data_time: 0.0122 memory: 17087 grad_norm: 1.7329 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.9062 loss: 5.9062 2022/08/03 09:09:21 - mmengine - INFO - Epoch(train) [1][280/1879] lr: 1.0000e-03 eta: 4 days, 11:39:46 time: 0.4368 data_time: 0.0150 memory: 17087 grad_norm: 1.7719 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.9123 loss: 5.9123 2022/08/03 09:09:29 - mmengine - INFO - Epoch(train) [1][300/1879] lr: 1.0000e-03 eta: 4 days, 8:12:23 time: 0.4185 data_time: 0.0119 memory: 17087 grad_norm: 1.7981 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8830 loss: 5.8830 2022/08/03 09:09:38 - mmengine - INFO - Epoch(train) [1][320/1879] lr: 1.0000e-03 eta: 4 days, 5:25:25 time: 0.4474 data_time: 0.0172 memory: 17087 grad_norm: 1.8339 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.8993 loss: 5.8993 2022/08/03 09:09:47 - mmengine - INFO - Epoch(train) [1][340/1879] lr: 1.0000e-03 eta: 4 days, 2:46:09 time: 0.4221 data_time: 0.0121 memory: 17087 grad_norm: 1.8930 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.8455 loss: 5.8455 2022/08/03 09:09:56 - mmengine - INFO - Epoch(train) [1][360/1879] lr: 1.0000e-03 eta: 4 days, 0:35:35 time: 0.4469 data_time: 0.0178 memory: 17087 grad_norm: 1.9292 top1_acc: 0.0000 top5_acc: 0.0000 loss_cls: 5.8602 loss: 5.8602 2022/08/03 09:10:04 - mmengine - INFO - Epoch(train) [1][380/1879] lr: 1.0000e-03 eta: 3 days, 22:27:56 time: 0.4213 data_time: 0.0157 memory: 17087 grad_norm: 1.9769 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.8236 loss: 5.8236 2022/08/03 09:10:13 - mmengine - INFO - Epoch(train) [1][400/1879] lr: 1.0000e-03 eta: 3 days, 20:33:24 time: 0.4221 data_time: 0.0156 memory: 17087 grad_norm: 2.0395 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 5.7976 loss: 5.7976 2022/08/03 09:10:21 - mmengine - INFO - Epoch(train) [1][420/1879] lr: 1.0000e-03 eta: 3 days, 18:54:07 time: 0.4336 data_time: 0.0121 memory: 17087 grad_norm: 2.0841 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.7804 loss: 5.7804 2022/08/03 09:10:30 - mmengine - INFO - Epoch(train) [1][440/1879] lr: 1.0000e-03 eta: 3 days, 17:21:19 time: 0.4266 data_time: 0.0196 memory: 17087 grad_norm: 2.1206 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.8024 loss: 5.8024 2022/08/03 09:10:38 - mmengine - INFO - Epoch(train) [1][460/1879] lr: 1.0000e-03 eta: 3 days, 15:55:07 time: 0.4225 data_time: 0.0140 memory: 17087 grad_norm: 2.1807 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.7109 loss: 5.7109 2022/08/03 09:10:47 - mmengine - INFO - Epoch(train) [1][480/1879] lr: 1.0000e-03 eta: 3 days, 14:36:26 time: 0.4235 data_time: 0.0146 memory: 17087 grad_norm: 2.2201 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.7460 loss: 5.7460 2022/08/03 09:10:56 - mmengine - INFO - Epoch(train) [1][500/1879] lr: 1.0000e-03 eta: 3 days, 13:29:16 time: 0.4398 data_time: 0.0175 memory: 17087 grad_norm: 2.2827 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 5.7191 loss: 5.7191 2022/08/03 09:11:04 - mmengine - INFO - Epoch(train) [1][520/1879] lr: 1.0000e-03 eta: 3 days, 12:22:21 time: 0.4239 data_time: 0.0167 memory: 17087 grad_norm: 2.3535 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 5.6395 loss: 5.6395 2022/08/03 09:11:12 - mmengine - INFO - Epoch(train) [1][540/1879] lr: 1.0000e-03 eta: 3 days, 11:18:53 time: 0.4189 data_time: 0.0115 memory: 17087 grad_norm: 2.3822 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 5.6662 loss: 5.6662 2022/08/03 09:11:21 - mmengine - INFO - Epoch(train) [1][560/1879] lr: 1.0000e-03 eta: 3 days, 10:21:16 time: 0.4235 data_time: 0.0158 memory: 17087 grad_norm: 2.4257 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.6809 loss: 5.6809 2022/08/03 09:11:29 - mmengine - INFO - Epoch(train) [1][580/1879] lr: 1.0000e-03 eta: 3 days, 9:27:33 time: 0.4233 data_time: 0.0155 memory: 17087 grad_norm: 2.4901 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 5.5958 loss: 5.5958 2022/08/03 09:11:38 - mmengine - INFO - Epoch(train) [1][600/1879] lr: 1.0000e-03 eta: 3 days, 8:40:38 time: 0.4353 data_time: 0.0151 memory: 17087 grad_norm: 2.5432 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.5681 loss: 5.5681 2022/08/03 09:11:46 - mmengine - INFO - Epoch(train) [1][620/1879] lr: 1.0000e-03 eta: 3 days, 7:53:12 time: 0.4217 data_time: 0.0136 memory: 17087 grad_norm: 2.6183 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 5.5303 loss: 5.5303 2022/08/03 09:11:55 - mmengine - INFO - Epoch(train) [1][640/1879] lr: 1.0000e-03 eta: 3 days, 7:08:49 time: 0.4221 data_time: 0.0159 memory: 17087 grad_norm: 2.6549 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.5603 loss: 5.5603 2022/08/03 09:12:03 - mmengine - INFO - Epoch(train) [1][660/1879] lr: 1.0000e-03 eta: 3 days, 6:26:52 time: 0.4210 data_time: 0.0151 memory: 17087 grad_norm: 2.7212 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 5.4722 loss: 5.4722 2022/08/03 09:12:12 - mmengine - INFO - Epoch(train) [1][680/1879] lr: 1.0000e-03 eta: 3 days, 5:47:58 time: 0.4236 data_time: 0.0151 memory: 17087 grad_norm: 2.7776 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 5.4517 loss: 5.4517 2022/08/03 09:12:20 - mmengine - INFO - Epoch(train) [1][700/1879] lr: 1.0000e-03 eta: 3 days, 5:10:34 time: 0.4204 data_time: 0.0122 memory: 17087 grad_norm: 2.8249 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.4067 loss: 5.4067 2022/08/03 09:12:29 - mmengine - INFO - Epoch(train) [1][720/1879] lr: 1.0000e-03 eta: 3 days, 4:39:24 time: 0.4391 data_time: 0.0180 memory: 17087 grad_norm: 2.8745 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 5.3611 loss: 5.3611 2022/08/03 09:12:38 - mmengine - INFO - Epoch(train) [1][740/1879] lr: 1.0000e-03 eta: 3 days, 4:08:11 time: 0.4311 data_time: 0.0122 memory: 17087 grad_norm: 2.9254 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 5.3069 loss: 5.3069 2022/08/03 09:12:46 - mmengine - INFO - Epoch(train) [1][760/1879] lr: 1.0000e-03 eta: 3 days, 3:40:43 time: 0.4412 data_time: 0.0161 memory: 17087 grad_norm: 2.9968 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 5.2751 loss: 5.2751 2022/08/03 09:12:55 - mmengine - INFO - Epoch(train) [1][780/1879] lr: 1.0000e-03 eta: 3 days, 3:10:33 time: 0.4212 data_time: 0.0138 memory: 17087 grad_norm: 3.0599 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 5.2135 loss: 5.2135 2022/08/03 09:13:03 - mmengine - INFO - Epoch(train) [1][800/1879] lr: 1.0000e-03 eta: 3 days, 2:43:21 time: 0.4286 data_time: 0.0166 memory: 17087 grad_norm: 3.0769 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 5.1961 loss: 5.1961 2022/08/03 09:13:12 - mmengine - INFO - Epoch(train) [1][820/1879] lr: 1.0000e-03 eta: 3 days, 2:19:55 time: 0.4411 data_time: 0.0150 memory: 17087 grad_norm: 3.1432 top1_acc: 0.0625 top5_acc: 0.0625 loss_cls: 5.1873 loss: 5.1873 2022/08/03 09:13:21 - mmengine - INFO - Epoch(train) [1][840/1879] lr: 1.0000e-03 eta: 3 days, 1:54:00 time: 0.4222 data_time: 0.0171 memory: 17087 grad_norm: 3.1801 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 5.2475 loss: 5.2475 2022/08/03 09:13:29 - mmengine - INFO - Epoch(train) [1][860/1879] lr: 1.0000e-03 eta: 3 days, 1:29:16 time: 0.4222 data_time: 0.0115 memory: 17087 grad_norm: 3.2277 top1_acc: 0.0000 top5_acc: 0.1250 loss_cls: 5.1306 loss: 5.1306 2022/08/03 09:13:38 - mmengine - INFO - Epoch(train) [1][880/1879] lr: 1.0000e-03 eta: 3 days, 1:05:54 time: 0.4235 data_time: 0.0150 memory: 17087 grad_norm: 3.2720 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 5.0589 loss: 5.0589 2022/08/03 09:13:46 - mmengine - INFO - Epoch(train) [1][900/1879] lr: 1.0000e-03 eta: 3 days, 0:43:37 time: 0.4237 data_time: 0.0133 memory: 17087 grad_norm: 3.3240 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 5.0073 loss: 5.0073 2022/08/03 09:13:55 - mmengine - INFO - Epoch(train) [1][920/1879] lr: 1.0000e-03 eta: 3 days, 0:22:04 time: 0.4225 data_time: 0.0137 memory: 17087 grad_norm: 3.3651 top1_acc: 0.0000 top5_acc: 0.1875 loss_cls: 4.9582 loss: 4.9582 2022/08/03 09:14:03 - mmengine - INFO - Epoch(train) [1][940/1879] lr: 1.0000e-03 eta: 3 days, 0:00:57 time: 0.4197 data_time: 0.0116 memory: 17087 grad_norm: 3.4001 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.9712 loss: 4.9712 2022/08/03 09:14:12 - mmengine - INFO - Epoch(train) [1][960/1879] lr: 1.0000e-03 eta: 2 days, 23:44:41 time: 0.4435 data_time: 0.0170 memory: 17087 grad_norm: 3.4388 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 5.0148 loss: 5.0148 2022/08/03 09:14:20 - mmengine - INFO - Epoch(train) [1][980/1879] lr: 1.0000e-03 eta: 2 days, 23:25:59 time: 0.4246 data_time: 0.0135 memory: 17087 grad_norm: 3.4923 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 4.9800 loss: 4.9800 2022/08/03 09:14:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:14:29 - mmengine - INFO - Epoch(train) [1][1000/1879] lr: 1.0000e-03 eta: 2 days, 23:11:19 time: 0.4452 data_time: 0.0153 memory: 17087 grad_norm: 3.5175 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.8151 loss: 4.8151 2022/08/03 09:14:38 - mmengine - INFO - Epoch(train) [1][1020/1879] lr: 1.0000e-03 eta: 2 days, 22:53:43 time: 0.4228 data_time: 0.0127 memory: 17087 grad_norm: 3.5505 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 4.7972 loss: 4.7972 2022/08/03 09:14:46 - mmengine - INFO - Epoch(train) [1][1040/1879] lr: 1.0000e-03 eta: 2 days, 22:36:58 time: 0.4240 data_time: 0.0151 memory: 17087 grad_norm: 3.6047 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.8486 loss: 4.8486 2022/08/03 09:14:55 - mmengine - INFO - Epoch(train) [1][1060/1879] lr: 1.0000e-03 eta: 2 days, 22:20:27 time: 0.4214 data_time: 0.0124 memory: 17087 grad_norm: 3.6288 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 4.7121 loss: 4.7121 2022/08/03 09:15:03 - mmengine - INFO - Epoch(train) [1][1080/1879] lr: 1.0000e-03 eta: 2 days, 22:04:40 time: 0.4222 data_time: 0.0144 memory: 17087 grad_norm: 3.6411 top1_acc: 0.0625 top5_acc: 0.4375 loss_cls: 4.7112 loss: 4.7112 2022/08/03 09:15:11 - mmengine - INFO - Epoch(train) [1][1100/1879] lr: 1.0000e-03 eta: 2 days, 21:49:32 time: 0.4227 data_time: 0.0124 memory: 17087 grad_norm: 3.6717 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.8217 loss: 4.8217 2022/08/03 09:15:20 - mmengine - INFO - Epoch(train) [1][1120/1879] lr: 1.0000e-03 eta: 2 days, 21:34:53 time: 0.4224 data_time: 0.0148 memory: 17087 grad_norm: 3.7115 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 4.7240 loss: 4.7240 2022/08/03 09:15:28 - mmengine - INFO - Epoch(train) [1][1140/1879] lr: 1.0000e-03 eta: 2 days, 21:21:06 time: 0.4250 data_time: 0.0121 memory: 17087 grad_norm: 3.7295 top1_acc: 0.1250 top5_acc: 0.1250 loss_cls: 4.6452 loss: 4.6452 2022/08/03 09:15:37 - mmengine - INFO - Epoch(train) [1][1160/1879] lr: 1.0000e-03 eta: 2 days, 21:07:20 time: 0.4217 data_time: 0.0141 memory: 17087 grad_norm: 3.7922 top1_acc: 0.0625 top5_acc: 0.4375 loss_cls: 4.6663 loss: 4.6663 2022/08/03 09:15:46 - mmengine - INFO - Epoch(train) [1][1180/1879] lr: 1.0000e-03 eta: 2 days, 20:57:09 time: 0.4447 data_time: 0.0132 memory: 17087 grad_norm: 3.8141 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.5938 loss: 4.5938 2022/08/03 09:15:54 - mmengine - INFO - Epoch(train) [1][1200/1879] lr: 1.0000e-03 eta: 2 days, 20:44:17 time: 0.4220 data_time: 0.0148 memory: 17087 grad_norm: 3.8205 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 4.5311 loss: 4.5311 2022/08/03 09:16:03 - mmengine - INFO - Epoch(train) [1][1220/1879] lr: 1.0000e-03 eta: 2 days, 20:31:51 time: 0.4222 data_time: 0.0130 memory: 17087 grad_norm: 3.8792 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.4647 loss: 4.4647 2022/08/03 09:16:11 - mmengine - INFO - Epoch(train) [1][1240/1879] lr: 1.0000e-03 eta: 2 days, 20:20:11 time: 0.4250 data_time: 0.0160 memory: 17087 grad_norm: 3.8993 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 4.5069 loss: 4.5069 2022/08/03 09:16:20 - mmengine - INFO - Epoch(train) [1][1260/1879] lr: 1.0000e-03 eta: 2 days, 20:08:25 time: 0.4214 data_time: 0.0125 memory: 17087 grad_norm: 3.9352 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 4.5698 loss: 4.5698 2022/08/03 09:16:28 - mmengine - INFO - Epoch(train) [1][1280/1879] lr: 1.0000e-03 eta: 2 days, 19:57:35 time: 0.4259 data_time: 0.0151 memory: 17087 grad_norm: 3.9410 top1_acc: 0.0625 top5_acc: 0.1250 loss_cls: 4.5551 loss: 4.5551 2022/08/03 09:16:36 - mmengine - INFO - Epoch(train) [1][1300/1879] lr: 1.0000e-03 eta: 2 days, 19:46:33 time: 0.4217 data_time: 0.0118 memory: 17087 grad_norm: 3.9593 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.4776 loss: 4.4776 2022/08/03 09:16:45 - mmengine - INFO - Epoch(train) [1][1320/1879] lr: 1.0000e-03 eta: 2 days, 19:38:08 time: 0.4405 data_time: 0.0147 memory: 17087 grad_norm: 3.9806 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 4.5755 loss: 4.5755 2022/08/03 09:16:54 - mmengine - INFO - Epoch(train) [1][1340/1879] lr: 1.0000e-03 eta: 2 days, 19:27:34 time: 0.4204 data_time: 0.0131 memory: 17087 grad_norm: 3.9623 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.5220 loss: 4.5220 2022/08/03 09:17:02 - mmengine - INFO - Epoch(train) [1][1360/1879] lr: 1.0000e-03 eta: 2 days, 19:17:45 time: 0.4243 data_time: 0.0176 memory: 17087 grad_norm: 4.0107 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.4294 loss: 4.4294 2022/08/03 09:17:11 - mmengine - INFO - Epoch(train) [1][1380/1879] lr: 1.0000e-03 eta: 2 days, 19:08:29 time: 0.4266 data_time: 0.0143 memory: 17087 grad_norm: 4.0246 top1_acc: 0.0625 top5_acc: 0.3125 loss_cls: 4.3899 loss: 4.3899 2022/08/03 09:17:19 - mmengine - INFO - Epoch(train) [1][1400/1879] lr: 1.0000e-03 eta: 2 days, 18:59:19 time: 0.4252 data_time: 0.0155 memory: 17087 grad_norm: 4.0814 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 4.3357 loss: 4.3357 2022/08/03 09:17:28 - mmengine - INFO - Epoch(train) [1][1420/1879] lr: 1.0000e-03 eta: 2 days, 18:50:36 time: 0.4268 data_time: 0.0151 memory: 17087 grad_norm: 4.1004 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 4.3073 loss: 4.3073 2022/08/03 09:17:36 - mmengine - INFO - Epoch(train) [1][1440/1879] lr: 1.0000e-03 eta: 2 days, 18:41:33 time: 0.4217 data_time: 0.0155 memory: 17087 grad_norm: 4.1082 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 4.5013 loss: 4.5013 2022/08/03 09:17:45 - mmengine - INFO - Epoch(train) [1][1460/1879] lr: 1.0000e-03 eta: 2 days, 18:34:37 time: 0.4389 data_time: 0.0122 memory: 17087 grad_norm: 4.1919 top1_acc: 0.0000 top5_acc: 0.0625 loss_cls: 4.4942 loss: 4.4942 2022/08/03 09:17:53 - mmengine - INFO - Epoch(train) [1][1480/1879] lr: 1.0000e-03 eta: 2 days, 18:26:01 time: 0.4217 data_time: 0.0149 memory: 17087 grad_norm: 4.1678 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.3550 loss: 4.3550 2022/08/03 09:18:02 - mmengine - INFO - Epoch(train) [1][1500/1879] lr: 1.0000e-03 eta: 2 days, 18:17:23 time: 0.4192 data_time: 0.0129 memory: 17087 grad_norm: 4.1583 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.2836 loss: 4.2836 2022/08/03 09:18:10 - mmengine - INFO - Epoch(train) [1][1520/1879] lr: 1.0000e-03 eta: 2 days, 18:09:36 time: 0.4253 data_time: 0.0163 memory: 17087 grad_norm: 4.2182 top1_acc: 0.0625 top5_acc: 0.2500 loss_cls: 4.2570 loss: 4.2570 2022/08/03 09:18:19 - mmengine - INFO - Epoch(train) [1][1540/1879] lr: 1.0000e-03 eta: 2 days, 18:01:46 time: 0.4228 data_time: 0.0126 memory: 17087 grad_norm: 4.1907 top1_acc: 0.0625 top5_acc: 0.1875 loss_cls: 4.2097 loss: 4.2097 2022/08/03 09:18:27 - mmengine - INFO - Epoch(train) [1][1560/1879] lr: 1.0000e-03 eta: 2 days, 17:55:34 time: 0.4369 data_time: 0.0146 memory: 17087 grad_norm: 4.1910 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 4.2517 loss: 4.2517 2022/08/03 09:18:36 - mmengine - INFO - Epoch(train) [1][1580/1879] lr: 1.0000e-03 eta: 2 days, 17:48:17 time: 0.4245 data_time: 0.0119 memory: 17087 grad_norm: 4.2786 top1_acc: 0.0000 top5_acc: 0.2500 loss_cls: 4.3073 loss: 4.3073 2022/08/03 09:18:44 - mmengine - INFO - Epoch(train) [1][1600/1879] lr: 1.0000e-03 eta: 2 days, 17:41:15 time: 0.4254 data_time: 0.0185 memory: 17087 grad_norm: 4.2605 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 4.1521 loss: 4.1521 2022/08/03 09:18:53 - mmengine - INFO - Epoch(train) [1][1620/1879] lr: 1.0000e-03 eta: 2 days, 17:34:06 time: 0.4223 data_time: 0.0144 memory: 17087 grad_norm: 4.2865 top1_acc: 0.0625 top5_acc: 0.3750 loss_cls: 4.2115 loss: 4.2115 2022/08/03 09:19:01 - mmengine - INFO - Epoch(train) [1][1640/1879] lr: 1.0000e-03 eta: 2 days, 17:27:38 time: 0.4278 data_time: 0.0147 memory: 17087 grad_norm: 4.2988 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.3027 loss: 4.3027 2022/08/03 09:19:10 - mmengine - INFO - Epoch(train) [1][1660/1879] lr: 1.0000e-03 eta: 2 days, 17:20:56 time: 0.4236 data_time: 0.0132 memory: 17087 grad_norm: 4.3296 top1_acc: 0.1875 top5_acc: 0.1875 loss_cls: 4.1515 loss: 4.1515 2022/08/03 09:19:18 - mmengine - INFO - Epoch(train) [1][1680/1879] lr: 1.0000e-03 eta: 2 days, 17:14:18 time: 0.4227 data_time: 0.0146 memory: 17087 grad_norm: 4.2889 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 4.1967 loss: 4.1967 2022/08/03 09:19:27 - mmengine - INFO - Epoch(train) [1][1700/1879] lr: 1.0000e-03 eta: 2 days, 17:09:07 time: 0.4366 data_time: 0.0132 memory: 17087 grad_norm: 4.3039 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 4.1399 loss: 4.1399 2022/08/03 09:19:36 - mmengine - INFO - Epoch(train) [1][1720/1879] lr: 1.0000e-03 eta: 2 days, 17:03:12 time: 0.4273 data_time: 0.0152 memory: 17087 grad_norm: 4.3529 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 4.1214 loss: 4.1214 2022/08/03 09:19:44 - mmengine - INFO - Epoch(train) [1][1740/1879] lr: 1.0000e-03 eta: 2 days, 16:58:24 time: 0.4381 data_time: 0.0142 memory: 17087 grad_norm: 4.4051 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 4.1035 loss: 4.1035 2022/08/03 09:19:53 - mmengine - INFO - Epoch(train) [1][1760/1879] lr: 1.0000e-03 eta: 2 days, 16:52:26 time: 0.4241 data_time: 0.0164 memory: 17087 grad_norm: 4.4343 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.0902 loss: 4.0902 2022/08/03 09:20:01 - mmengine - INFO - Epoch(train) [1][1780/1879] lr: 1.0000e-03 eta: 2 days, 16:46:32 time: 0.4234 data_time: 0.0123 memory: 17087 grad_norm: 4.4252 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 4.0873 loss: 4.0873 2022/08/03 09:20:10 - mmengine - INFO - Epoch(train) [1][1800/1879] lr: 1.0000e-03 eta: 2 days, 16:42:36 time: 0.4441 data_time: 0.0169 memory: 17087 grad_norm: 4.4133 top1_acc: 0.1875 top5_acc: 0.1875 loss_cls: 4.1240 loss: 4.1240 2022/08/03 09:20:19 - mmengine - INFO - Epoch(train) [1][1820/1879] lr: 1.0000e-03 eta: 2 days, 16:37:02 time: 0.4246 data_time: 0.0181 memory: 17087 grad_norm: 4.4299 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.9702 loss: 3.9702 2022/08/03 09:20:27 - mmengine - INFO - Epoch(train) [1][1840/1879] lr: 1.0000e-03 eta: 2 days, 16:31:25 time: 0.4225 data_time: 0.0152 memory: 17087 grad_norm: 4.4723 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 4.2647 loss: 4.2647 2022/08/03 09:20:36 - mmengine - INFO - Epoch(train) [1][1860/1879] lr: 1.0000e-03 eta: 2 days, 16:26:44 time: 0.4322 data_time: 0.0135 memory: 17087 grad_norm: 4.4893 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 4.0153 loss: 4.0153 2022/08/03 09:21:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:21:22 - mmengine - INFO - Epoch(train) [1][1879/1879] lr: 1.0000e-03 eta: 2 days, 16:26:44 time: 2.3111 data_time: 0.0143 memory: 45152 grad_norm: 4.5629 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 4.0254 loss: 4.0254 2022/08/03 09:21:34 - mmengine - INFO - Epoch(train) [2][20/1879] lr: 2.0000e-03 eta: 2 days, 15:56:45 time: 0.5913 data_time: 0.1749 memory: 17087 grad_norm: 4.5094 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 4.0516 loss: 4.0516 2022/08/03 09:21:43 - mmengine - INFO - Epoch(train) [2][40/1879] lr: 2.0000e-03 eta: 2 days, 15:54:05 time: 0.4505 data_time: 0.0157 memory: 17087 grad_norm: 4.5328 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 4.0432 loss: 4.0432 2022/08/03 09:21:51 - mmengine - INFO - Epoch(train) [2][60/1879] lr: 2.0000e-03 eta: 2 days, 15:49:18 time: 0.4239 data_time: 0.0149 memory: 17087 grad_norm: 4.5730 top1_acc: 0.1250 top5_acc: 0.7500 loss_cls: 3.8366 loss: 3.8366 2022/08/03 09:22:00 - mmengine - INFO - Epoch(train) [2][80/1879] lr: 2.0000e-03 eta: 2 days, 15:45:49 time: 0.4389 data_time: 0.0162 memory: 17087 grad_norm: 4.5435 top1_acc: 0.0625 top5_acc: 0.4375 loss_cls: 4.0164 loss: 4.0164 2022/08/03 09:22:08 - mmengine - INFO - Epoch(train) [2][100/1879] lr: 2.0000e-03 eta: 2 days, 15:41:03 time: 0.4220 data_time: 0.0134 memory: 17087 grad_norm: 4.6247 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.7969 loss: 3.7969 2022/08/03 09:22:17 - mmengine - INFO - Epoch(train) [2][120/1879] lr: 2.0000e-03 eta: 2 days, 15:37:28 time: 0.4357 data_time: 0.0147 memory: 17087 grad_norm: 4.6777 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.9834 loss: 3.9834 2022/08/03 09:22:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:22:25 - mmengine - INFO - Epoch(train) [2][140/1879] lr: 2.0000e-03 eta: 2 days, 15:32:45 time: 0.4205 data_time: 0.0145 memory: 17087 grad_norm: 4.6302 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 3.8931 loss: 3.8931 2022/08/03 09:22:34 - mmengine - INFO - Epoch(train) [2][160/1879] lr: 2.0000e-03 eta: 2 days, 15:28:21 time: 0.4235 data_time: 0.0153 memory: 17087 grad_norm: 4.6227 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.5664 loss: 3.5664 2022/08/03 09:22:42 - mmengine - INFO - Epoch(train) [2][180/1879] lr: 2.0000e-03 eta: 2 days, 15:23:59 time: 0.4229 data_time: 0.0130 memory: 17087 grad_norm: 4.7148 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.9668 loss: 3.9668 2022/08/03 09:22:51 - mmengine - INFO - Epoch(train) [2][200/1879] lr: 2.0000e-03 eta: 2 days, 15:19:41 time: 0.4224 data_time: 0.0162 memory: 17087 grad_norm: 4.6980 top1_acc: 0.1250 top5_acc: 0.3125 loss_cls: 4.0509 loss: 4.0509 2022/08/03 09:23:00 - mmengine - INFO - Epoch(train) [2][220/1879] lr: 2.0000e-03 eta: 2 days, 15:16:43 time: 0.4392 data_time: 0.0128 memory: 17087 grad_norm: 4.7256 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 3.8959 loss: 3.8959 2022/08/03 09:23:08 - mmengine - INFO - Epoch(train) [2][240/1879] lr: 2.0000e-03 eta: 2 days, 15:12:35 time: 0.4229 data_time: 0.0138 memory: 17087 grad_norm: 4.7138 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.7044 loss: 3.7044 2022/08/03 09:23:17 - mmengine - INFO - Epoch(train) [2][260/1879] lr: 2.0000e-03 eta: 2 days, 15:08:29 time: 0.4223 data_time: 0.0143 memory: 17087 grad_norm: 4.7536 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.8795 loss: 3.8795 2022/08/03 09:23:25 - mmengine - INFO - Epoch(train) [2][280/1879] lr: 2.0000e-03 eta: 2 days, 15:04:29 time: 0.4228 data_time: 0.0149 memory: 17087 grad_norm: 4.7331 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 4.0387 loss: 4.0387 2022/08/03 09:23:33 - mmengine - INFO - Epoch(train) [2][300/1879] lr: 2.0000e-03 eta: 2 days, 15:00:29 time: 0.4216 data_time: 0.0137 memory: 17087 grad_norm: 4.8069 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.6172 loss: 3.6172 2022/08/03 09:23:42 - mmengine - INFO - Epoch(train) [2][320/1879] lr: 2.0000e-03 eta: 2 days, 14:58:00 time: 0.4419 data_time: 0.0160 memory: 17087 grad_norm: 4.7934 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.7466 loss: 3.7466 2022/08/03 09:23:51 - mmengine - INFO - Epoch(train) [2][340/1879] lr: 2.0000e-03 eta: 2 days, 14:54:26 time: 0.4260 data_time: 0.0133 memory: 17087 grad_norm: 4.7731 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7052 loss: 3.7052 2022/08/03 09:24:00 - mmengine - INFO - Epoch(train) [2][360/1879] lr: 2.0000e-03 eta: 2 days, 14:51:56 time: 0.4401 data_time: 0.0165 memory: 17087 grad_norm: 4.8115 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.8063 loss: 3.8063 2022/08/03 09:24:08 - mmengine - INFO - Epoch(train) [2][380/1879] lr: 2.0000e-03 eta: 2 days, 14:48:09 time: 0.4213 data_time: 0.0145 memory: 17087 grad_norm: 4.8635 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.7696 loss: 3.7696 2022/08/03 09:24:17 - mmengine - INFO - Epoch(train) [2][400/1879] lr: 2.0000e-03 eta: 2 days, 14:45:37 time: 0.4383 data_time: 0.0170 memory: 17087 grad_norm: 4.9124 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.6724 loss: 3.6724 2022/08/03 09:24:25 - mmengine - INFO - Epoch(train) [2][420/1879] lr: 2.0000e-03 eta: 2 days, 14:42:01 time: 0.4224 data_time: 0.0148 memory: 17087 grad_norm: 4.8631 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.7177 loss: 3.7177 2022/08/03 09:24:34 - mmengine - INFO - Epoch(train) [2][440/1879] lr: 2.0000e-03 eta: 2 days, 14:38:27 time: 0.4219 data_time: 0.0144 memory: 17087 grad_norm: 4.8525 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.6661 loss: 3.6661 2022/08/03 09:24:42 - mmengine - INFO - Epoch(train) [2][460/1879] lr: 2.0000e-03 eta: 2 days, 14:35:07 time: 0.4244 data_time: 0.0158 memory: 17087 grad_norm: 4.8228 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.6526 loss: 3.6526 2022/08/03 09:24:51 - mmengine - INFO - Epoch(train) [2][480/1879] lr: 2.0000e-03 eta: 2 days, 14:31:41 time: 0.4223 data_time: 0.0148 memory: 17087 grad_norm: 4.9429 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.3582 loss: 3.3582 2022/08/03 09:24:59 - mmengine - INFO - Epoch(train) [2][500/1879] lr: 2.0000e-03 eta: 2 days, 14:29:47 time: 0.4442 data_time: 0.0137 memory: 17087 grad_norm: 4.9302 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.7104 loss: 3.7104 2022/08/03 09:25:08 - mmengine - INFO - Epoch(train) [2][520/1879] lr: 2.0000e-03 eta: 2 days, 14:26:27 time: 0.4224 data_time: 0.0163 memory: 17087 grad_norm: 4.9267 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.7432 loss: 3.7432 2022/08/03 09:25:17 - mmengine - INFO - Epoch(train) [2][540/1879] lr: 2.0000e-03 eta: 2 days, 14:24:08 time: 0.4368 data_time: 0.0148 memory: 17087 grad_norm: 4.9223 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 3.7434 loss: 3.7434 2022/08/03 09:25:25 - mmengine - INFO - Epoch(train) [2][560/1879] lr: 2.0000e-03 eta: 2 days, 14:20:53 time: 0.4220 data_time: 0.0142 memory: 17087 grad_norm: 5.0013 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.7569 loss: 3.7569 2022/08/03 09:25:34 - mmengine - INFO - Epoch(train) [2][580/1879] lr: 2.0000e-03 eta: 2 days, 14:17:47 time: 0.4238 data_time: 0.0136 memory: 17087 grad_norm: 4.9154 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.5439 loss: 3.5439 2022/08/03 09:25:42 - mmengine - INFO - Epoch(train) [2][600/1879] lr: 2.0000e-03 eta: 2 days, 14:15:18 time: 0.4323 data_time: 0.0146 memory: 17087 grad_norm: 4.9787 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.3822 loss: 3.3822 2022/08/03 09:25:51 - mmengine - INFO - Epoch(train) [2][620/1879] lr: 2.0000e-03 eta: 2 days, 14:12:15 time: 0.4231 data_time: 0.0149 memory: 17087 grad_norm: 4.9764 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.3899 loss: 3.3899 2022/08/03 09:25:59 - mmengine - INFO - Epoch(train) [2][640/1879] lr: 2.0000e-03 eta: 2 days, 14:09:36 time: 0.4286 data_time: 0.0161 memory: 17087 grad_norm: 4.9889 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.5403 loss: 3.5403 2022/08/03 09:26:08 - mmengine - INFO - Epoch(train) [2][660/1879] lr: 2.0000e-03 eta: 2 days, 14:06:38 time: 0.4228 data_time: 0.0131 memory: 17087 grad_norm: 4.9939 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.4313 loss: 3.4313 2022/08/03 09:26:17 - mmengine - INFO - Epoch(train) [2][680/1879] lr: 2.0000e-03 eta: 2 days, 14:04:42 time: 0.4389 data_time: 0.0191 memory: 17087 grad_norm: 4.9918 top1_acc: 0.1250 top5_acc: 0.6875 loss_cls: 3.5661 loss: 3.5661 2022/08/03 09:26:25 - mmengine - INFO - Epoch(train) [2][700/1879] lr: 2.0000e-03 eta: 2 days, 14:01:48 time: 0.4225 data_time: 0.0158 memory: 17087 grad_norm: 4.9898 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.7108 loss: 3.7108 2022/08/03 09:26:33 - mmengine - INFO - Epoch(train) [2][720/1879] lr: 2.0000e-03 eta: 2 days, 13:58:54 time: 0.4220 data_time: 0.0142 memory: 17087 grad_norm: 4.9600 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.5858 loss: 3.5858 2022/08/03 09:26:42 - mmengine - INFO - Epoch(train) [2][740/1879] lr: 2.0000e-03 eta: 2 days, 13:56:07 time: 0.4234 data_time: 0.0130 memory: 17087 grad_norm: 4.9683 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.3831 loss: 3.3831 2022/08/03 09:26:50 - mmengine - INFO - Epoch(train) [2][760/1879] lr: 2.0000e-03 eta: 2 days, 13:53:24 time: 0.4237 data_time: 0.0150 memory: 17087 grad_norm: 4.9965 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.4285 loss: 3.4285 2022/08/03 09:26:59 - mmengine - INFO - Epoch(train) [2][780/1879] lr: 2.0000e-03 eta: 2 days, 13:51:27 time: 0.4356 data_time: 0.0167 memory: 17087 grad_norm: 5.0043 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.7604 loss: 3.7604 2022/08/03 09:27:08 - mmengine - INFO - Epoch(train) [2][800/1879] lr: 2.0000e-03 eta: 2 days, 13:48:48 time: 0.4237 data_time: 0.0160 memory: 17087 grad_norm: 5.0345 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.6557 loss: 3.6557 2022/08/03 09:27:16 - mmengine - INFO - Epoch(train) [2][820/1879] lr: 2.0000e-03 eta: 2 days, 13:47:28 time: 0.4453 data_time: 0.0162 memory: 17087 grad_norm: 5.1083 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4994 loss: 3.4994 2022/08/03 09:27:25 - mmengine - INFO - Epoch(train) [2][840/1879] lr: 2.0000e-03 eta: 2 days, 13:44:52 time: 0.4234 data_time: 0.0139 memory: 17087 grad_norm: 5.0597 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.5031 loss: 3.5031 2022/08/03 09:27:33 - mmengine - INFO - Epoch(train) [2][860/1879] lr: 2.0000e-03 eta: 2 days, 13:42:08 time: 0.4204 data_time: 0.0135 memory: 17087 grad_norm: 5.0526 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.3267 loss: 3.3267 2022/08/03 09:27:42 - mmengine - INFO - Epoch(train) [2][880/1879] lr: 2.0000e-03 eta: 2 days, 13:39:54 time: 0.4286 data_time: 0.0181 memory: 17087 grad_norm: 5.0816 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.4014 loss: 3.4014 2022/08/03 09:27:50 - mmengine - INFO - Epoch(train) [2][900/1879] lr: 2.0000e-03 eta: 2 days, 13:37:27 time: 0.4240 data_time: 0.0139 memory: 17087 grad_norm: 5.0342 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.5173 loss: 3.5173 2022/08/03 09:27:59 - mmengine - INFO - Epoch(train) [2][920/1879] lr: 2.0000e-03 eta: 2 days, 13:36:08 time: 0.4434 data_time: 0.0154 memory: 17087 grad_norm: 5.0261 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.3921 loss: 3.3921 2022/08/03 09:28:08 - mmengine - INFO - Epoch(train) [2][940/1879] lr: 2.0000e-03 eta: 2 days, 13:33:56 time: 0.4277 data_time: 0.0134 memory: 17087 grad_norm: 5.0706 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.5487 loss: 3.5487 2022/08/03 09:28:17 - mmengine - INFO - Epoch(train) [2][960/1879] lr: 2.0000e-03 eta: 2 days, 13:32:15 time: 0.4362 data_time: 0.0164 memory: 17087 grad_norm: 5.0719 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.3199 loss: 3.3199 2022/08/03 09:28:25 - mmengine - INFO - Epoch(train) [2][980/1879] lr: 2.0000e-03 eta: 2 days, 13:29:48 time: 0.4221 data_time: 0.0140 memory: 17087 grad_norm: 4.9682 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 3.5740 loss: 3.5740 2022/08/03 09:28:33 - mmengine - INFO - Epoch(train) [2][1000/1879] lr: 2.0000e-03 eta: 2 days, 13:27:25 time: 0.4227 data_time: 0.0141 memory: 17087 grad_norm: 5.0939 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.4526 loss: 3.4526 2022/08/03 09:28:42 - mmengine - INFO - Epoch(train) [2][1020/1879] lr: 2.0000e-03 eta: 2 days, 13:25:12 time: 0.4253 data_time: 0.0144 memory: 17087 grad_norm: 5.1415 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.4432 loss: 3.4432 2022/08/03 09:28:50 - mmengine - INFO - Epoch(train) [2][1040/1879] lr: 2.0000e-03 eta: 2 days, 13:22:56 time: 0.4237 data_time: 0.0145 memory: 17087 grad_norm: 5.1564 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.4100 loss: 3.4100 2022/08/03 09:28:59 - mmengine - INFO - Epoch(train) [2][1060/1879] lr: 2.0000e-03 eta: 2 days, 13:21:37 time: 0.4408 data_time: 0.0165 memory: 17087 grad_norm: 5.1366 top1_acc: 0.1250 top5_acc: 0.2500 loss_cls: 3.4290 loss: 3.4290 2022/08/03 09:29:08 - mmengine - INFO - Epoch(train) [2][1080/1879] lr: 2.0000e-03 eta: 2 days, 13:19:23 time: 0.4233 data_time: 0.0145 memory: 17087 grad_norm: 5.1241 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2520 loss: 3.2520 2022/08/03 09:29:16 - mmengine - INFO - Epoch(train) [2][1100/1879] lr: 2.0000e-03 eta: 2 days, 13:17:53 time: 0.4367 data_time: 0.0137 memory: 17087 grad_norm: 5.1302 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 3.4804 loss: 3.4804 2022/08/03 09:29:25 - mmengine - INFO - Epoch(train) [2][1120/1879] lr: 2.0000e-03 eta: 2 days, 13:15:53 time: 0.4270 data_time: 0.0154 memory: 17087 grad_norm: 5.0740 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2310 loss: 3.2310 2022/08/03 09:29:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:29:34 - mmengine - INFO - Epoch(train) [2][1140/1879] lr: 2.0000e-03 eta: 2 days, 13:16:06 time: 0.4683 data_time: 0.0127 memory: 17087 grad_norm: 5.1613 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.3087 loss: 3.3087 2022/08/03 09:29:43 - mmengine - INFO - Epoch(train) [2][1160/1879] lr: 2.0000e-03 eta: 2 days, 13:14:05 time: 0.4259 data_time: 0.0154 memory: 17087 grad_norm: 5.1671 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 3.3589 loss: 3.3589 2022/08/03 09:29:51 - mmengine - INFO - Epoch(train) [2][1180/1879] lr: 2.0000e-03 eta: 2 days, 13:12:10 time: 0.4273 data_time: 0.0149 memory: 17087 grad_norm: 5.1886 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.4009 loss: 3.4009 2022/08/03 09:30:00 - mmengine - INFO - Epoch(train) [2][1200/1879] lr: 2.0000e-03 eta: 2 days, 13:10:43 time: 0.4359 data_time: 0.0176 memory: 17087 grad_norm: 5.1393 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 3.1405 loss: 3.1405 2022/08/03 09:30:09 - mmengine - INFO - Epoch(train) [2][1220/1879] lr: 2.0000e-03 eta: 2 days, 13:08:54 time: 0.4287 data_time: 0.0131 memory: 17087 grad_norm: 5.1161 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 3.5772 loss: 3.5772 2022/08/03 09:30:17 - mmengine - INFO - Epoch(train) [2][1240/1879] lr: 2.0000e-03 eta: 2 days, 13:07:35 time: 0.4378 data_time: 0.0148 memory: 17087 grad_norm: 5.1344 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.3232 loss: 3.3232 2022/08/03 09:30:26 - mmengine - INFO - Epoch(train) [2][1260/1879] lr: 2.0000e-03 eta: 2 days, 13:05:40 time: 0.4256 data_time: 0.0163 memory: 17087 grad_norm: 5.1406 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 3.2023 loss: 3.2023 2022/08/03 09:30:34 - mmengine - INFO - Epoch(train) [2][1280/1879] lr: 2.0000e-03 eta: 2 days, 13:03:36 time: 0.4223 data_time: 0.0146 memory: 17087 grad_norm: 5.2479 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 3.1932 loss: 3.1932 2022/08/03 09:30:43 - mmengine - INFO - Epoch(train) [2][1300/1879] lr: 2.0000e-03 eta: 2 days, 13:02:28 time: 0.4405 data_time: 0.0147 memory: 17087 grad_norm: 5.2192 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.5201 loss: 3.5201 2022/08/03 09:30:52 - mmengine - INFO - Epoch(train) [2][1320/1879] lr: 2.0000e-03 eta: 2 days, 13:00:49 time: 0.4297 data_time: 0.0183 memory: 17087 grad_norm: 5.1875 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.3390 loss: 3.3390 2022/08/03 09:31:00 - mmengine - INFO - Epoch(train) [2][1340/1879] lr: 2.0000e-03 eta: 2 days, 12:58:55 time: 0.4246 data_time: 0.0145 memory: 17087 grad_norm: 5.1475 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 3.3442 loss: 3.3442 2022/08/03 09:31:09 - mmengine - INFO - Epoch(train) [2][1360/1879] lr: 2.0000e-03 eta: 2 days, 12:57:00 time: 0.4235 data_time: 0.0146 memory: 17087 grad_norm: 5.1952 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.3557 loss: 3.3557 2022/08/03 09:31:17 - mmengine - INFO - Epoch(train) [2][1380/1879] lr: 2.0000e-03 eta: 2 days, 12:55:30 time: 0.4316 data_time: 0.0139 memory: 17087 grad_norm: 5.2292 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.4106 loss: 3.4106 2022/08/03 09:31:26 - mmengine - INFO - Epoch(train) [2][1400/1879] lr: 2.0000e-03 eta: 2 days, 12:53:41 time: 0.4247 data_time: 0.0171 memory: 17087 grad_norm: 5.2389 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.2821 loss: 3.2821 2022/08/03 09:31:34 - mmengine - INFO - Epoch(train) [2][1420/1879] lr: 2.0000e-03 eta: 2 days, 12:51:41 time: 0.4208 data_time: 0.0125 memory: 17087 grad_norm: 5.2087 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 3.2016 loss: 3.2016 2022/08/03 09:31:43 - mmengine - INFO - Epoch(train) [2][1440/1879] lr: 2.0000e-03 eta: 2 days, 12:49:53 time: 0.4245 data_time: 0.0157 memory: 17087 grad_norm: 5.1761 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.3221 loss: 3.3221 2022/08/03 09:31:51 - mmengine - INFO - Epoch(train) [2][1460/1879] lr: 2.0000e-03 eta: 2 days, 12:48:01 time: 0.4222 data_time: 0.0145 memory: 17087 grad_norm: 5.2229 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 3.2430 loss: 3.2430 2022/08/03 09:32:00 - mmengine - INFO - Epoch(train) [2][1480/1879] lr: 2.0000e-03 eta: 2 days, 12:46:42 time: 0.4339 data_time: 0.0146 memory: 17087 grad_norm: 5.2654 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0840 loss: 3.0840 2022/08/03 09:32:08 - mmengine - INFO - Epoch(train) [2][1500/1879] lr: 2.0000e-03 eta: 2 days, 12:45:04 time: 0.4266 data_time: 0.0143 memory: 17087 grad_norm: 5.2071 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.2389 loss: 3.2389 2022/08/03 09:32:17 - mmengine - INFO - Epoch(train) [2][1520/1879] lr: 2.0000e-03 eta: 2 days, 12:43:20 time: 0.4242 data_time: 0.0145 memory: 17087 grad_norm: 5.2090 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.3251 loss: 3.3251 2022/08/03 09:32:25 - mmengine - INFO - Epoch(train) [2][1540/1879] lr: 2.0000e-03 eta: 2 days, 12:41:37 time: 0.4239 data_time: 0.0142 memory: 17087 grad_norm: 5.3099 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.1903 loss: 3.1903 2022/08/03 09:32:34 - mmengine - INFO - Epoch(train) [2][1560/1879] lr: 2.0000e-03 eta: 2 days, 12:39:52 time: 0.4231 data_time: 0.0149 memory: 17087 grad_norm: 5.2181 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 3.0971 loss: 3.0971 2022/08/03 09:32:43 - mmengine - INFO - Epoch(train) [2][1580/1879] lr: 2.0000e-03 eta: 2 days, 12:38:39 time: 0.4341 data_time: 0.0150 memory: 17087 grad_norm: 5.2429 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.1641 loss: 3.1641 2022/08/03 09:32:51 - mmengine - INFO - Epoch(train) [2][1600/1879] lr: 2.0000e-03 eta: 2 days, 12:37:11 time: 0.4285 data_time: 0.0181 memory: 17087 grad_norm: 5.2459 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 3.2131 loss: 3.2131 2022/08/03 09:33:00 - mmengine - INFO - Epoch(train) [2][1620/1879] lr: 2.0000e-03 eta: 2 days, 12:35:28 time: 0.4225 data_time: 0.0123 memory: 17087 grad_norm: 5.2865 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 3.2792 loss: 3.2792 2022/08/03 09:33:08 - mmengine - INFO - Epoch(train) [2][1640/1879] lr: 2.0000e-03 eta: 2 days, 12:33:52 time: 0.4249 data_time: 0.0146 memory: 17087 grad_norm: 5.2382 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.9622 loss: 2.9622 2022/08/03 09:33:17 - mmengine - INFO - Epoch(train) [2][1660/1879] lr: 2.0000e-03 eta: 2 days, 12:32:43 time: 0.4346 data_time: 0.0137 memory: 17087 grad_norm: 5.2761 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.2520 loss: 3.2520 2022/08/03 09:33:25 - mmengine - INFO - Epoch(train) [2][1680/1879] lr: 2.0000e-03 eta: 2 days, 12:31:05 time: 0.4233 data_time: 0.0154 memory: 17087 grad_norm: 5.2495 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.2101 loss: 3.2101 2022/08/03 09:33:34 - mmengine - INFO - Epoch(train) [2][1700/1879] lr: 2.0000e-03 eta: 2 days, 12:29:28 time: 0.4232 data_time: 0.0119 memory: 17087 grad_norm: 5.3079 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 3.2674 loss: 3.2674 2022/08/03 09:33:42 - mmengine - INFO - Epoch(train) [2][1720/1879] lr: 2.0000e-03 eta: 2 days, 12:27:58 time: 0.4257 data_time: 0.0164 memory: 17087 grad_norm: 5.2874 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 3.2162 loss: 3.2162 2022/08/03 09:33:51 - mmengine - INFO - Epoch(train) [2][1740/1879] lr: 2.0000e-03 eta: 2 days, 12:26:21 time: 0.4224 data_time: 0.0145 memory: 17087 grad_norm: 5.2331 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 3.2022 loss: 3.2022 2022/08/03 09:33:59 - mmengine - INFO - Epoch(train) [2][1760/1879] lr: 2.0000e-03 eta: 2 days, 12:25:21 time: 0.4367 data_time: 0.0153 memory: 17087 grad_norm: 5.2828 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 3.1608 loss: 3.1608 2022/08/03 09:34:08 - mmengine - INFO - Epoch(train) [2][1780/1879] lr: 2.0000e-03 eta: 2 days, 12:23:59 time: 0.4275 data_time: 0.0152 memory: 17087 grad_norm: 5.2603 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.0787 loss: 3.0787 2022/08/03 09:34:17 - mmengine - INFO - Epoch(train) [2][1800/1879] lr: 2.0000e-03 eta: 2 days, 12:23:02 time: 0.4372 data_time: 0.0166 memory: 17087 grad_norm: 5.3014 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.1359 loss: 3.1359 2022/08/03 09:34:25 - mmengine - INFO - Epoch(train) [2][1820/1879] lr: 2.0000e-03 eta: 2 days, 12:21:25 time: 0.4214 data_time: 0.0135 memory: 17087 grad_norm: 5.2835 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.1208 loss: 3.1208 2022/08/03 09:34:34 - mmengine - INFO - Epoch(train) [2][1840/1879] lr: 2.0000e-03 eta: 2 days, 12:20:00 time: 0.4255 data_time: 0.0169 memory: 17087 grad_norm: 5.3389 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.2159 loss: 3.2159 2022/08/03 09:34:42 - mmengine - INFO - Epoch(train) [2][1860/1879] lr: 2.0000e-03 eta: 2 days, 12:18:48 time: 0.4303 data_time: 0.0162 memory: 17087 grad_norm: 5.3532 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 3.0097 loss: 3.0097 2022/08/03 09:34:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:34:50 - mmengine - INFO - Epoch(train) [2][1879/1879] lr: 2.0000e-03 eta: 2 days, 12:18:48 time: 0.4053 data_time: 0.0166 memory: 17087 grad_norm: 5.4632 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 3.1447 loss: 3.1447 2022/08/03 09:35:01 - mmengine - INFO - Epoch(train) [3][20/1879] lr: 3.0000e-03 eta: 2 days, 12:04:17 time: 0.5494 data_time: 0.1308 memory: 17087 grad_norm: 5.3201 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.1296 loss: 3.1296 2022/08/03 09:35:10 - mmengine - INFO - Epoch(train) [3][40/1879] lr: 3.0000e-03 eta: 2 days, 12:03:33 time: 0.4395 data_time: 0.0172 memory: 17087 grad_norm: 5.3303 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 3.1175 loss: 3.1175 2022/08/03 09:35:18 - mmengine - INFO - Epoch(train) [3][60/1879] lr: 3.0000e-03 eta: 2 days, 12:02:10 time: 0.4234 data_time: 0.0140 memory: 17087 grad_norm: 5.3374 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.3830 loss: 3.3830 2022/08/03 09:35:27 - mmengine - INFO - Epoch(train) [3][80/1879] lr: 3.0000e-03 eta: 2 days, 12:00:54 time: 0.4258 data_time: 0.0155 memory: 17087 grad_norm: 5.3684 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.0031 loss: 3.0031 2022/08/03 09:35:35 - mmengine - INFO - Epoch(train) [3][100/1879] lr: 3.0000e-03 eta: 2 days, 11:59:27 time: 0.4211 data_time: 0.0137 memory: 17087 grad_norm: 5.3889 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 3.2141 loss: 3.2141 2022/08/03 09:35:44 - mmengine - INFO - Epoch(train) [3][120/1879] lr: 3.0000e-03 eta: 2 days, 11:58:08 time: 0.4242 data_time: 0.0159 memory: 17087 grad_norm: 5.3828 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.1788 loss: 3.1788 2022/08/03 09:35:52 - mmengine - INFO - Epoch(train) [3][140/1879] lr: 3.0000e-03 eta: 2 days, 11:56:48 time: 0.4236 data_time: 0.0144 memory: 17087 grad_norm: 5.3015 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.1311 loss: 3.1311 2022/08/03 09:36:01 - mmengine - INFO - Epoch(train) [3][160/1879] lr: 3.0000e-03 eta: 2 days, 11:56:09 time: 0.4399 data_time: 0.0156 memory: 17087 grad_norm: 5.4443 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 3.2331 loss: 3.2331 2022/08/03 09:36:09 - mmengine - INFO - Epoch(train) [3][180/1879] lr: 3.0000e-03 eta: 2 days, 11:55:02 time: 0.4285 data_time: 0.0131 memory: 17087 grad_norm: 5.3510 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0101 loss: 3.0101 2022/08/03 09:36:18 - mmengine - INFO - Epoch(train) [3][200/1879] lr: 3.0000e-03 eta: 2 days, 11:53:49 time: 0.4256 data_time: 0.0177 memory: 17087 grad_norm: 5.2687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2702 loss: 3.2702 2022/08/03 09:36:26 - mmengine - INFO - Epoch(train) [3][220/1879] lr: 3.0000e-03 eta: 2 days, 11:52:32 time: 0.4236 data_time: 0.0148 memory: 17087 grad_norm: 5.3812 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.0445 loss: 3.0445 2022/08/03 09:36:35 - mmengine - INFO - Epoch(train) [3][240/1879] lr: 3.0000e-03 eta: 2 days, 11:51:08 time: 0.4203 data_time: 0.0138 memory: 17087 grad_norm: 5.3339 top1_acc: 0.1250 top5_acc: 0.5000 loss_cls: 3.2503 loss: 3.2503 2022/08/03 09:36:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:36:43 - mmengine - INFO - Epoch(train) [3][260/1879] lr: 3.0000e-03 eta: 2 days, 11:49:51 time: 0.4233 data_time: 0.0139 memory: 17087 grad_norm: 5.4189 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.1587 loss: 3.1587 2022/08/03 09:36:52 - mmengine - INFO - Epoch(train) [3][280/1879] lr: 3.0000e-03 eta: 2 days, 11:48:36 time: 0.4236 data_time: 0.0165 memory: 17087 grad_norm: 5.4429 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 3.1991 loss: 3.1991 2022/08/03 09:37:01 - mmengine - INFO - Epoch(train) [3][300/1879] lr: 3.0000e-03 eta: 2 days, 11:48:13 time: 0.4453 data_time: 0.0169 memory: 17087 grad_norm: 5.3981 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 3.2194 loss: 3.2194 2022/08/03 09:37:09 - mmengine - INFO - Epoch(train) [3][320/1879] lr: 3.0000e-03 eta: 2 days, 11:47:08 time: 0.4275 data_time: 0.0201 memory: 17087 grad_norm: 5.4075 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0775 loss: 3.0775 2022/08/03 09:37:18 - mmengine - INFO - Epoch(train) [3][340/1879] lr: 3.0000e-03 eta: 2 days, 11:46:15 time: 0.4325 data_time: 0.0145 memory: 17087 grad_norm: 5.4118 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.1072 loss: 3.1072 2022/08/03 09:37:26 - mmengine - INFO - Epoch(train) [3][360/1879] lr: 3.0000e-03 eta: 2 days, 11:45:04 time: 0.4242 data_time: 0.0155 memory: 17087 grad_norm: 5.3580 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 3.1626 loss: 3.1626 2022/08/03 09:37:35 - mmengine - INFO - Epoch(train) [3][380/1879] lr: 3.0000e-03 eta: 2 days, 11:43:47 time: 0.4217 data_time: 0.0139 memory: 17087 grad_norm: 5.3887 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 3.0526 loss: 3.0526 2022/08/03 09:37:44 - mmengine - INFO - Epoch(train) [3][400/1879] lr: 3.0000e-03 eta: 2 days, 11:43:05 time: 0.4366 data_time: 0.0138 memory: 17087 grad_norm: 5.4173 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 3.0826 loss: 3.0826 2022/08/03 09:37:52 - mmengine - INFO - Epoch(train) [3][420/1879] lr: 3.0000e-03 eta: 2 days, 11:42:10 time: 0.4304 data_time: 0.0175 memory: 17087 grad_norm: 5.4420 top1_acc: 0.1875 top5_acc: 0.3125 loss_cls: 3.0960 loss: 3.0960 2022/08/03 09:38:01 - mmengine - INFO - Epoch(train) [3][440/1879] lr: 3.0000e-03 eta: 2 days, 11:40:57 time: 0.4228 data_time: 0.0146 memory: 17087 grad_norm: 5.3803 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.1931 loss: 3.1931 2022/08/03 09:38:09 - mmengine - INFO - Epoch(train) [3][460/1879] lr: 3.0000e-03 eta: 2 days, 11:39:51 time: 0.4251 data_time: 0.0151 memory: 17087 grad_norm: 5.4044 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0991 loss: 3.0991 2022/08/03 09:38:18 - mmengine - INFO - Epoch(train) [3][480/1879] lr: 3.0000e-03 eta: 2 days, 11:38:46 time: 0.4256 data_time: 0.0149 memory: 17087 grad_norm: 5.3848 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 3.2124 loss: 3.2124 2022/08/03 09:38:26 - mmengine - INFO - Epoch(train) [3][500/1879] lr: 3.0000e-03 eta: 2 days, 11:37:34 time: 0.4223 data_time: 0.0134 memory: 17087 grad_norm: 5.4847 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.9620 loss: 2.9620 2022/08/03 09:38:35 - mmengine - INFO - Epoch(train) [3][520/1879] lr: 3.0000e-03 eta: 2 days, 11:36:25 time: 0.4234 data_time: 0.0172 memory: 17087 grad_norm: 5.4941 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.1069 loss: 3.1069 2022/08/03 09:38:43 - mmengine - INFO - Epoch(train) [3][540/1879] lr: 3.0000e-03 eta: 2 days, 11:35:45 time: 0.4362 data_time: 0.0139 memory: 17087 grad_norm: 5.5001 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.2018 loss: 3.2018 2022/08/03 09:38:52 - mmengine - INFO - Epoch(train) [3][560/1879] lr: 3.0000e-03 eta: 2 days, 11:34:47 time: 0.4276 data_time: 0.0188 memory: 17087 grad_norm: 5.4400 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 3.0882 loss: 3.0882 2022/08/03 09:39:01 - mmengine - INFO - Epoch(train) [3][580/1879] lr: 3.0000e-03 eta: 2 days, 11:34:05 time: 0.4350 data_time: 0.0160 memory: 17087 grad_norm: 5.4247 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 3.0540 loss: 3.0540 2022/08/03 09:39:09 - mmengine - INFO - Epoch(train) [3][600/1879] lr: 3.0000e-03 eta: 2 days, 11:33:07 time: 0.4274 data_time: 0.0160 memory: 17087 grad_norm: 5.3210 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.9622 loss: 2.9622 2022/08/03 09:39:18 - mmengine - INFO - Epoch(train) [3][620/1879] lr: 3.0000e-03 eta: 2 days, 11:32:25 time: 0.4345 data_time: 0.0122 memory: 17087 grad_norm: 5.4711 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 3.1193 loss: 3.1193 2022/08/03 09:39:26 - mmengine - INFO - Epoch(train) [3][640/1879] lr: 3.0000e-03 eta: 2 days, 11:31:35 time: 0.4310 data_time: 0.0160 memory: 17087 grad_norm: 5.4321 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 3.0146 loss: 3.0146 2022/08/03 09:39:35 - mmengine - INFO - Epoch(train) [3][660/1879] lr: 3.0000e-03 eta: 2 days, 11:30:26 time: 0.4215 data_time: 0.0137 memory: 17087 grad_norm: 5.4015 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9746 loss: 2.9746 2022/08/03 09:39:44 - mmengine - INFO - Epoch(train) [3][680/1879] lr: 3.0000e-03 eta: 2 days, 11:29:48 time: 0.4359 data_time: 0.0166 memory: 17087 grad_norm: 5.4544 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 3.2708 loss: 3.2708 2022/08/03 09:39:52 - mmengine - INFO - Epoch(train) [3][700/1879] lr: 3.0000e-03 eta: 2 days, 11:28:46 time: 0.4247 data_time: 0.0134 memory: 17087 grad_norm: 5.4505 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 3.0209 loss: 3.0209 2022/08/03 09:40:01 - mmengine - INFO - Epoch(train) [3][720/1879] lr: 3.0000e-03 eta: 2 days, 11:28:02 time: 0.4329 data_time: 0.0150 memory: 17087 grad_norm: 5.4941 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.8986 loss: 2.8986 2022/08/03 09:40:09 - mmengine - INFO - Epoch(train) [3][740/1879] lr: 3.0000e-03 eta: 2 days, 11:27:01 time: 0.4250 data_time: 0.0154 memory: 17087 grad_norm: 5.4150 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.8710 loss: 2.8710 2022/08/03 09:40:18 - mmengine - INFO - Epoch(train) [3][760/1879] lr: 3.0000e-03 eta: 2 days, 11:26:24 time: 0.4356 data_time: 0.0150 memory: 17087 grad_norm: 5.3707 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.9668 loss: 2.9668 2022/08/03 09:40:26 - mmengine - INFO - Epoch(train) [3][780/1879] lr: 3.0000e-03 eta: 2 days, 11:25:32 time: 0.4284 data_time: 0.0173 memory: 17087 grad_norm: 5.4261 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.7956 loss: 2.7956 2022/08/03 09:40:35 - mmengine - INFO - Epoch(train) [3][800/1879] lr: 3.0000e-03 eta: 2 days, 11:24:25 time: 0.4213 data_time: 0.0151 memory: 17087 grad_norm: 5.4510 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.7957 loss: 2.7957 2022/08/03 09:40:43 - mmengine - INFO - Epoch(train) [3][820/1879] lr: 3.0000e-03 eta: 2 days, 11:23:26 time: 0.4250 data_time: 0.0118 memory: 17087 grad_norm: 5.5159 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.9674 loss: 2.9674 2022/08/03 09:40:52 - mmengine - INFO - Epoch(train) [3][840/1879] lr: 3.0000e-03 eta: 2 days, 11:22:54 time: 0.4378 data_time: 0.0166 memory: 17087 grad_norm: 5.5113 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.9153 loss: 2.9153 2022/08/03 09:41:01 - mmengine - INFO - Epoch(train) [3][860/1879] lr: 3.0000e-03 eta: 2 days, 11:22:23 time: 0.4380 data_time: 0.0153 memory: 17087 grad_norm: 5.4428 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.8859 loss: 2.8859 2022/08/03 09:41:10 - mmengine - INFO - Epoch(train) [3][880/1879] lr: 3.0000e-03 eta: 2 days, 11:21:39 time: 0.4314 data_time: 0.0151 memory: 17087 grad_norm: 5.4866 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.9340 loss: 2.9340 2022/08/03 09:41:18 - mmengine - INFO - Epoch(train) [3][900/1879] lr: 3.0000e-03 eta: 2 days, 11:20:37 time: 0.4228 data_time: 0.0141 memory: 17087 grad_norm: 5.4897 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7586 loss: 2.7586 2022/08/03 09:41:27 - mmengine - INFO - Epoch(train) [3][920/1879] lr: 3.0000e-03 eta: 2 days, 11:19:44 time: 0.4269 data_time: 0.0152 memory: 17087 grad_norm: 5.4434 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6791 loss: 2.6791 2022/08/03 09:41:35 - mmengine - INFO - Epoch(train) [3][940/1879] lr: 3.0000e-03 eta: 2 days, 11:18:44 time: 0.4230 data_time: 0.0165 memory: 17087 grad_norm: 5.4547 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 3.0735 loss: 3.0735 2022/08/03 09:41:44 - mmengine - INFO - Epoch(train) [3][960/1879] lr: 3.0000e-03 eta: 2 days, 11:18:17 time: 0.4395 data_time: 0.0152 memory: 17087 grad_norm: 5.5062 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.9254 loss: 2.9254 2022/08/03 09:41:52 - mmengine - INFO - Epoch(train) [3][980/1879] lr: 3.0000e-03 eta: 2 days, 11:17:29 time: 0.4288 data_time: 0.0136 memory: 17087 grad_norm: 5.5634 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.0667 loss: 3.0667 2022/08/03 09:42:01 - mmengine - INFO - Epoch(train) [3][1000/1879] lr: 3.0000e-03 eta: 2 days, 11:16:38 time: 0.4268 data_time: 0.0178 memory: 17087 grad_norm: 5.4796 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9201 loss: 2.9201 2022/08/03 09:42:09 - mmengine - INFO - Epoch(train) [3][1020/1879] lr: 3.0000e-03 eta: 2 days, 11:15:38 time: 0.4227 data_time: 0.0143 memory: 17087 grad_norm: 5.4119 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.7637 loss: 2.7637 2022/08/03 09:42:18 - mmengine - INFO - Epoch(train) [3][1040/1879] lr: 3.0000e-03 eta: 2 days, 11:15:18 time: 0.4422 data_time: 0.0172 memory: 17087 grad_norm: 5.5325 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 3.0120 loss: 3.0120 2022/08/03 09:42:27 - mmengine - INFO - Epoch(train) [3][1060/1879] lr: 3.0000e-03 eta: 2 days, 11:14:25 time: 0.4259 data_time: 0.0190 memory: 17087 grad_norm: 5.4742 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 3.0863 loss: 3.0863 2022/08/03 09:42:35 - mmengine - INFO - Epoch(train) [3][1080/1879] lr: 3.0000e-03 eta: 2 days, 11:13:28 time: 0.4231 data_time: 0.0148 memory: 17087 grad_norm: 5.5844 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9933 loss: 2.9933 2022/08/03 09:42:44 - mmengine - INFO - Epoch(train) [3][1100/1879] lr: 3.0000e-03 eta: 2 days, 11:12:47 time: 0.4318 data_time: 0.0139 memory: 17087 grad_norm: 5.5348 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 3.0035 loss: 3.0035 2022/08/03 09:42:52 - mmengine - INFO - Epoch(train) [3][1120/1879] lr: 3.0000e-03 eta: 2 days, 11:11:54 time: 0.4250 data_time: 0.0159 memory: 17087 grad_norm: 5.5349 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 3.1483 loss: 3.1483 2022/08/03 09:43:01 - mmengine - INFO - Epoch(train) [3][1140/1879] lr: 3.0000e-03 eta: 2 days, 11:10:56 time: 0.4225 data_time: 0.0135 memory: 17087 grad_norm: 5.5405 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.8682 loss: 2.8682 2022/08/03 09:43:09 - mmengine - INFO - Epoch(train) [3][1160/1879] lr: 3.0000e-03 eta: 2 days, 11:10:01 time: 0.4235 data_time: 0.0151 memory: 17087 grad_norm: 5.4857 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7826 loss: 2.7826 2022/08/03 09:43:18 - mmengine - INFO - Epoch(train) [3][1180/1879] lr: 3.0000e-03 eta: 2 days, 11:09:13 time: 0.4274 data_time: 0.0147 memory: 17087 grad_norm: 5.5599 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.9469 loss: 2.9469 2022/08/03 09:43:26 - mmengine - INFO - Epoch(train) [3][1200/1879] lr: 3.0000e-03 eta: 2 days, 11:08:25 time: 0.4268 data_time: 0.0142 memory: 17087 grad_norm: 5.5248 top1_acc: 0.1250 top5_acc: 0.3750 loss_cls: 2.9227 loss: 2.9227 2022/08/03 09:43:35 - mmengine - INFO - Epoch(train) [3][1220/1879] lr: 3.0000e-03 eta: 2 days, 11:07:30 time: 0.4231 data_time: 0.0138 memory: 17087 grad_norm: 5.6241 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 3.0644 loss: 3.0644 2022/08/03 09:43:43 - mmengine - INFO - Epoch(train) [3][1240/1879] lr: 3.0000e-03 eta: 2 days, 11:06:59 time: 0.4353 data_time: 0.0174 memory: 17087 grad_norm: 5.5916 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8749 loss: 2.8749 2022/08/03 09:43:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:43:52 - mmengine - INFO - Epoch(train) [3][1260/1879] lr: 3.0000e-03 eta: 2 days, 11:06:15 time: 0.4288 data_time: 0.0174 memory: 17087 grad_norm: 5.5252 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 3.0166 loss: 3.0166 2022/08/03 09:44:01 - mmengine - INFO - Epoch(train) [3][1280/1879] lr: 3.0000e-03 eta: 2 days, 11:06:00 time: 0.4441 data_time: 0.0160 memory: 17087 grad_norm: 5.5460 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.9287 loss: 2.9287 2022/08/03 09:44:10 - mmengine - INFO - Epoch(train) [3][1300/1879] lr: 3.0000e-03 eta: 2 days, 11:05:17 time: 0.4287 data_time: 0.0193 memory: 17087 grad_norm: 5.5486 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6766 loss: 2.6766 2022/08/03 09:44:18 - mmengine - INFO - Epoch(train) [3][1320/1879] lr: 3.0000e-03 eta: 2 days, 11:04:43 time: 0.4336 data_time: 0.0141 memory: 17087 grad_norm: 5.5766 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6083 loss: 2.6083 2022/08/03 09:44:27 - mmengine - INFO - Epoch(train) [3][1340/1879] lr: 3.0000e-03 eta: 2 days, 11:03:50 time: 0.4230 data_time: 0.0160 memory: 17087 grad_norm: 5.6264 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.8642 loss: 2.8642 2022/08/03 09:44:35 - mmengine - INFO - Epoch(train) [3][1360/1879] lr: 3.0000e-03 eta: 2 days, 11:02:53 time: 0.4212 data_time: 0.0146 memory: 17087 grad_norm: 5.5735 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.9316 loss: 2.9316 2022/08/03 09:44:44 - mmengine - INFO - Epoch(train) [3][1380/1879] lr: 3.0000e-03 eta: 2 days, 11:02:21 time: 0.4342 data_time: 0.0147 memory: 17087 grad_norm: 5.5085 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.7345 loss: 2.7345 2022/08/03 09:44:52 - mmengine - INFO - Epoch(train) [3][1400/1879] lr: 3.0000e-03 eta: 2 days, 11:01:33 time: 0.4251 data_time: 0.0155 memory: 17087 grad_norm: 5.5610 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.8432 loss: 2.8432 2022/08/03 09:45:01 - mmengine - INFO - Epoch(train) [3][1420/1879] lr: 3.0000e-03 eta: 2 days, 11:00:39 time: 0.4222 data_time: 0.0150 memory: 17087 grad_norm: 5.4842 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9132 loss: 2.9132 2022/08/03 09:45:09 - mmengine - INFO - Epoch(train) [3][1440/1879] lr: 3.0000e-03 eta: 2 days, 10:59:51 time: 0.4251 data_time: 0.0160 memory: 17087 grad_norm: 5.6079 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.8277 loss: 2.8277 2022/08/03 09:45:18 - mmengine - INFO - Epoch(train) [3][1460/1879] lr: 3.0000e-03 eta: 2 days, 10:59:32 time: 0.4413 data_time: 0.0142 memory: 17087 grad_norm: 5.5491 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.8065 loss: 2.8065 2022/08/03 09:45:27 - mmengine - INFO - Epoch(train) [3][1480/1879] lr: 3.0000e-03 eta: 2 days, 10:58:41 time: 0.4231 data_time: 0.0166 memory: 17087 grad_norm: 5.5161 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.7671 loss: 2.7671 2022/08/03 09:45:35 - mmengine - INFO - Epoch(train) [3][1500/1879] lr: 3.0000e-03 eta: 2 days, 10:57:54 time: 0.4249 data_time: 0.0182 memory: 17087 grad_norm: 5.5890 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6910 loss: 2.6910 2022/08/03 09:45:43 - mmengine - INFO - Epoch(train) [3][1520/1879] lr: 3.0000e-03 eta: 2 days, 10:57:05 time: 0.4242 data_time: 0.0149 memory: 17087 grad_norm: 5.7037 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7500 loss: 2.7500 2022/08/03 09:45:52 - mmengine - INFO - Epoch(train) [3][1540/1879] lr: 3.0000e-03 eta: 2 days, 10:56:19 time: 0.4254 data_time: 0.0142 memory: 17087 grad_norm: 5.6428 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.9780 loss: 2.9780 2022/08/03 09:46:01 - mmengine - INFO - Epoch(train) [3][1560/1879] lr: 3.0000e-03 eta: 2 days, 10:55:59 time: 0.4396 data_time: 0.0160 memory: 17087 grad_norm: 5.5477 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 3.0072 loss: 3.0072 2022/08/03 09:46:09 - mmengine - INFO - Epoch(train) [3][1580/1879] lr: 3.0000e-03 eta: 2 days, 10:55:16 time: 0.4269 data_time: 0.0133 memory: 17087 grad_norm: 5.5956 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7001 loss: 2.7001 2022/08/03 09:46:18 - mmengine - INFO - Epoch(train) [3][1600/1879] lr: 3.0000e-03 eta: 2 days, 10:54:31 time: 0.4259 data_time: 0.0179 memory: 17087 grad_norm: 5.5328 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.8269 loss: 2.8269 2022/08/03 09:46:26 - mmengine - INFO - Epoch(train) [3][1620/1879] lr: 3.0000e-03 eta: 2 days, 10:53:39 time: 0.4210 data_time: 0.0133 memory: 17087 grad_norm: 5.6179 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.7035 loss: 2.7035 2022/08/03 09:46:35 - mmengine - INFO - Epoch(train) [3][1640/1879] lr: 3.0000e-03 eta: 2 days, 10:52:50 time: 0.4230 data_time: 0.0158 memory: 17087 grad_norm: 5.5759 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.9667 loss: 2.9667 2022/08/03 09:46:43 - mmengine - INFO - Epoch(train) [3][1660/1879] lr: 3.0000e-03 eta: 2 days, 10:52:16 time: 0.4318 data_time: 0.0147 memory: 17087 grad_norm: 5.7170 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.9228 loss: 2.9228 2022/08/03 09:46:52 - mmengine - INFO - Epoch(train) [3][1680/1879] lr: 3.0000e-03 eta: 2 days, 10:51:31 time: 0.4248 data_time: 0.0151 memory: 17087 grad_norm: 5.5094 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.8302 loss: 2.8302 2022/08/03 09:47:01 - mmengine - INFO - Epoch(train) [3][1700/1879] lr: 3.0000e-03 eta: 2 days, 10:51:06 time: 0.4360 data_time: 0.0161 memory: 17087 grad_norm: 5.4526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.5265 loss: 2.5265 2022/08/03 09:47:09 - mmengine - INFO - Epoch(train) [3][1720/1879] lr: 3.0000e-03 eta: 2 days, 10:50:29 time: 0.4294 data_time: 0.0205 memory: 17087 grad_norm: 5.5233 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 3.0453 loss: 3.0453 2022/08/03 09:47:18 - mmengine - INFO - Epoch(train) [3][1740/1879] lr: 3.0000e-03 eta: 2 days, 10:49:43 time: 0.4241 data_time: 0.0157 memory: 17087 grad_norm: 5.5667 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6446 loss: 2.6446 2022/08/03 09:47:26 - mmengine - INFO - Epoch(train) [3][1760/1879] lr: 3.0000e-03 eta: 2 days, 10:48:57 time: 0.4237 data_time: 0.0183 memory: 17087 grad_norm: 5.4584 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.9284 loss: 2.9284 2022/08/03 09:47:35 - mmengine - INFO - Epoch(train) [3][1780/1879] lr: 3.0000e-03 eta: 2 days, 10:48:14 time: 0.4256 data_time: 0.0150 memory: 17087 grad_norm: 5.5334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6387 loss: 2.6387 2022/08/03 09:47:43 - mmengine - INFO - Epoch(train) [3][1800/1879] lr: 3.0000e-03 eta: 2 days, 10:47:37 time: 0.4290 data_time: 0.0157 memory: 17087 grad_norm: 5.4985 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7215 loss: 2.7215 2022/08/03 09:47:52 - mmengine - INFO - Epoch(train) [3][1820/1879] lr: 3.0000e-03 eta: 2 days, 10:46:54 time: 0.4251 data_time: 0.0156 memory: 17087 grad_norm: 5.6452 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7492 loss: 2.7492 2022/08/03 09:48:00 - mmengine - INFO - Epoch(train) [3][1840/1879] lr: 3.0000e-03 eta: 2 days, 10:46:15 time: 0.4273 data_time: 0.0184 memory: 17087 grad_norm: 5.6022 top1_acc: 0.0625 top5_acc: 0.4375 loss_cls: 2.8169 loss: 2.8169 2022/08/03 09:48:09 - mmengine - INFO - Epoch(train) [3][1860/1879] lr: 3.0000e-03 eta: 2 days, 10:45:28 time: 0.4225 data_time: 0.0114 memory: 17087 grad_norm: 5.5934 top1_acc: 0.1875 top5_acc: 0.4375 loss_cls: 2.8940 loss: 2.8940 2022/08/03 09:48:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:48:16 - mmengine - INFO - Epoch(train) [3][1879/1879] lr: 3.0000e-03 eta: 2 days, 10:45:28 time: 0.4051 data_time: 0.0146 memory: 17087 grad_norm: 5.7141 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.8826 loss: 2.8826 2022/08/03 09:48:27 - mmengine - INFO - Epoch(train) [4][20/1879] lr: 4.0000e-03 eta: 2 days, 10:36:21 time: 0.5525 data_time: 0.1118 memory: 17087 grad_norm: 5.5579 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6624 loss: 2.6624 2022/08/03 09:48:36 - mmengine - INFO - Epoch(train) [4][40/1879] lr: 4.0000e-03 eta: 2 days, 10:35:41 time: 0.4250 data_time: 0.0152 memory: 17087 grad_norm: 5.5817 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 3.0610 loss: 3.0610 2022/08/03 09:48:44 - mmengine - INFO - Epoch(train) [4][60/1879] lr: 4.0000e-03 eta: 2 days, 10:34:57 time: 0.4228 data_time: 0.0151 memory: 17087 grad_norm: 5.6810 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8118 loss: 2.8118 2022/08/03 09:48:53 - mmengine - INFO - Epoch(train) [4][80/1879] lr: 4.0000e-03 eta: 2 days, 10:34:16 time: 0.4242 data_time: 0.0169 memory: 17087 grad_norm: 5.6153 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.5786 loss: 2.5786 2022/08/03 09:49:02 - mmengine - INFO - Epoch(train) [4][100/1879] lr: 4.0000e-03 eta: 2 days, 10:33:53 time: 0.4351 data_time: 0.0151 memory: 17087 grad_norm: 5.5622 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8085 loss: 2.8085 2022/08/03 09:49:10 - mmengine - INFO - Epoch(train) [4][120/1879] lr: 4.0000e-03 eta: 2 days, 10:33:20 time: 0.4290 data_time: 0.0169 memory: 17087 grad_norm: 5.5791 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7336 loss: 2.7336 2022/08/03 09:49:19 - mmengine - INFO - Epoch(train) [4][140/1879] lr: 4.0000e-03 eta: 2 days, 10:32:40 time: 0.4247 data_time: 0.0166 memory: 17087 grad_norm: 5.5323 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5858 loss: 2.5858 2022/08/03 09:49:27 - mmengine - INFO - Epoch(train) [4][160/1879] lr: 4.0000e-03 eta: 2 days, 10:32:02 time: 0.4258 data_time: 0.0139 memory: 17087 grad_norm: 5.6393 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.6279 loss: 2.6279 2022/08/03 09:49:36 - mmengine - INFO - Epoch(train) [4][180/1879] lr: 4.0000e-03 eta: 2 days, 10:31:16 time: 0.4205 data_time: 0.0136 memory: 17087 grad_norm: 5.6091 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.8175 loss: 2.8175 2022/08/03 09:49:44 - mmengine - INFO - Epoch(train) [4][200/1879] lr: 4.0000e-03 eta: 2 days, 10:30:36 time: 0.4243 data_time: 0.0152 memory: 17087 grad_norm: 5.6427 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.9154 loss: 2.9154 2022/08/03 09:49:53 - mmengine - INFO - Epoch(train) [4][220/1879] lr: 4.0000e-03 eta: 2 days, 10:30:01 time: 0.4274 data_time: 0.0144 memory: 17087 grad_norm: 5.5298 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.8027 loss: 2.8027 2022/08/03 09:50:01 - mmengine - INFO - Epoch(train) [4][240/1879] lr: 4.0000e-03 eta: 2 days, 10:29:35 time: 0.4327 data_time: 0.0153 memory: 17087 grad_norm: 5.6776 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.8100 loss: 2.8100 2022/08/03 09:50:10 - mmengine - INFO - Epoch(train) [4][260/1879] lr: 4.0000e-03 eta: 2 days, 10:28:54 time: 0.4228 data_time: 0.0145 memory: 17087 grad_norm: 5.5982 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7875 loss: 2.7875 2022/08/03 09:50:19 - mmengine - INFO - Epoch(train) [4][280/1879] lr: 4.0000e-03 eta: 2 days, 10:28:45 time: 0.4435 data_time: 0.0205 memory: 17087 grad_norm: 5.6542 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7285 loss: 2.7285 2022/08/03 09:50:27 - mmengine - INFO - Epoch(train) [4][300/1879] lr: 4.0000e-03 eta: 2 days, 10:28:03 time: 0.4223 data_time: 0.0126 memory: 17087 grad_norm: 5.5930 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5135 loss: 2.5135 2022/08/03 09:50:36 - mmengine - INFO - Epoch(train) [4][320/1879] lr: 4.0000e-03 eta: 2 days, 10:27:24 time: 0.4243 data_time: 0.0165 memory: 17087 grad_norm: 5.5669 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4982 loss: 2.4982 2022/08/03 09:50:44 - mmengine - INFO - Epoch(train) [4][340/1879] lr: 4.0000e-03 eta: 2 days, 10:26:54 time: 0.4296 data_time: 0.0139 memory: 17087 grad_norm: 5.6223 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6423 loss: 2.6423 2022/08/03 09:50:53 - mmengine - INFO - Epoch(train) [4][360/1879] lr: 4.0000e-03 eta: 2 days, 10:26:17 time: 0.4252 data_time: 0.0146 memory: 17087 grad_norm: 5.6046 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7268 loss: 2.7268 2022/08/03 09:50:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:51:01 - mmengine - INFO - Epoch(train) [4][380/1879] lr: 4.0000e-03 eta: 2 days, 10:25:55 time: 0.4342 data_time: 0.0149 memory: 17087 grad_norm: 5.4987 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.6283 loss: 2.6283 2022/08/03 09:51:10 - mmengine - INFO - Epoch(train) [4][400/1879] lr: 4.0000e-03 eta: 2 days, 10:25:22 time: 0.4278 data_time: 0.0147 memory: 17087 grad_norm: 5.6379 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7716 loss: 2.7716 2022/08/03 09:51:18 - mmengine - INFO - Epoch(train) [4][420/1879] lr: 4.0000e-03 eta: 2 days, 10:24:43 time: 0.4236 data_time: 0.0150 memory: 17087 grad_norm: 5.6126 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.7284 loss: 2.7284 2022/08/03 09:51:27 - mmengine - INFO - Epoch(train) [4][440/1879] lr: 4.0000e-03 eta: 2 days, 10:24:04 time: 0.4233 data_time: 0.0168 memory: 17087 grad_norm: 5.5906 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8282 loss: 2.8282 2022/08/03 09:51:35 - mmengine - INFO - Epoch(train) [4][460/1879] lr: 4.0000e-03 eta: 2 days, 10:23:26 time: 0.4241 data_time: 0.0144 memory: 17087 grad_norm: 5.6111 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 3.0338 loss: 3.0338 2022/08/03 09:51:44 - mmengine - INFO - Epoch(train) [4][480/1879] lr: 4.0000e-03 eta: 2 days, 10:23:11 time: 0.4382 data_time: 0.0156 memory: 17087 grad_norm: 5.6199 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6767 loss: 2.6767 2022/08/03 09:51:53 - mmengine - INFO - Epoch(train) [4][500/1879] lr: 4.0000e-03 eta: 2 days, 10:22:36 time: 0.4262 data_time: 0.0178 memory: 17087 grad_norm: 5.6600 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8486 loss: 2.8486 2022/08/03 09:52:01 - mmengine - INFO - Epoch(train) [4][520/1879] lr: 4.0000e-03 eta: 2 days, 10:22:17 time: 0.4358 data_time: 0.0155 memory: 17087 grad_norm: 5.6417 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.8287 loss: 2.8287 2022/08/03 09:52:10 - mmengine - INFO - Epoch(train) [4][540/1879] lr: 4.0000e-03 eta: 2 days, 10:21:59 time: 0.4365 data_time: 0.0186 memory: 17087 grad_norm: 5.5876 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6914 loss: 2.6914 2022/08/03 09:52:19 - mmengine - INFO - Epoch(train) [4][560/1879] lr: 4.0000e-03 eta: 2 days, 10:21:43 time: 0.4378 data_time: 0.0157 memory: 17087 grad_norm: 5.5889 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7551 loss: 2.7551 2022/08/03 09:52:27 - mmengine - INFO - Epoch(train) [4][580/1879] lr: 4.0000e-03 eta: 2 days, 10:21:14 time: 0.4290 data_time: 0.0143 memory: 17087 grad_norm: 5.6758 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8720 loss: 2.8720 2022/08/03 09:52:36 - mmengine - INFO - Epoch(train) [4][600/1879] lr: 4.0000e-03 eta: 2 days, 10:20:39 time: 0.4255 data_time: 0.0179 memory: 17087 grad_norm: 5.6927 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7646 loss: 2.7646 2022/08/03 09:52:44 - mmengine - INFO - Epoch(train) [4][620/1879] lr: 4.0000e-03 eta: 2 days, 10:20:01 time: 0.4232 data_time: 0.0122 memory: 17087 grad_norm: 5.6364 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7102 loss: 2.7102 2022/08/03 09:52:53 - mmengine - INFO - Epoch(train) [4][640/1879] lr: 4.0000e-03 eta: 2 days, 10:19:28 time: 0.4262 data_time: 0.0175 memory: 17087 grad_norm: 5.6053 top1_acc: 0.1250 top5_acc: 0.1875 loss_cls: 2.8545 loss: 2.8545 2022/08/03 09:53:02 - mmengine - INFO - Epoch(train) [4][660/1879] lr: 4.0000e-03 eta: 2 days, 10:19:07 time: 0.4341 data_time: 0.0138 memory: 17087 grad_norm: 5.6927 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7807 loss: 2.7807 2022/08/03 09:53:10 - mmengine - INFO - Epoch(train) [4][680/1879] lr: 4.0000e-03 eta: 2 days, 10:18:52 time: 0.4384 data_time: 0.0205 memory: 17087 grad_norm: 5.6852 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.8102 loss: 2.8102 2022/08/03 09:53:19 - mmengine - INFO - Epoch(train) [4][700/1879] lr: 4.0000e-03 eta: 2 days, 10:18:36 time: 0.4374 data_time: 0.0136 memory: 17087 grad_norm: 5.5863 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.6094 loss: 2.6094 2022/08/03 09:53:28 - mmengine - INFO - Epoch(train) [4][720/1879] lr: 4.0000e-03 eta: 2 days, 10:18:16 time: 0.4344 data_time: 0.0169 memory: 17087 grad_norm: 5.7395 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.8597 loss: 2.8597 2022/08/03 09:53:36 - mmengine - INFO - Epoch(train) [4][740/1879] lr: 4.0000e-03 eta: 2 days, 10:17:36 time: 0.4213 data_time: 0.0128 memory: 17087 grad_norm: 5.6858 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.6257 loss: 2.6257 2022/08/03 09:53:45 - mmengine - INFO - Epoch(train) [4][760/1879] lr: 4.0000e-03 eta: 2 days, 10:17:03 time: 0.4262 data_time: 0.0155 memory: 17087 grad_norm: 5.5949 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7488 loss: 2.7488 2022/08/03 09:53:53 - mmengine - INFO - Epoch(train) [4][780/1879] lr: 4.0000e-03 eta: 2 days, 10:16:27 time: 0.4235 data_time: 0.0151 memory: 17087 grad_norm: 5.6037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6429 loss: 2.6429 2022/08/03 09:54:02 - mmengine - INFO - Epoch(train) [4][800/1879] lr: 4.0000e-03 eta: 2 days, 10:16:11 time: 0.4370 data_time: 0.0173 memory: 17087 grad_norm: 5.6126 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7634 loss: 2.7634 2022/08/03 09:54:11 - mmengine - INFO - Epoch(train) [4][820/1879] lr: 4.0000e-03 eta: 2 days, 10:15:42 time: 0.4283 data_time: 0.0190 memory: 17087 grad_norm: 5.6725 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4926 loss: 2.4926 2022/08/03 09:54:19 - mmengine - INFO - Epoch(train) [4][840/1879] lr: 4.0000e-03 eta: 2 days, 10:15:08 time: 0.4251 data_time: 0.0159 memory: 17087 grad_norm: 5.5635 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7728 loss: 2.7728 2022/08/03 09:54:28 - mmengine - INFO - Epoch(train) [4][860/1879] lr: 4.0000e-03 eta: 2 days, 10:14:34 time: 0.4244 data_time: 0.0139 memory: 17087 grad_norm: 5.6263 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.8337 loss: 2.8337 2022/08/03 09:54:36 - mmengine - INFO - Epoch(train) [4][880/1879] lr: 4.0000e-03 eta: 2 days, 10:13:58 time: 0.4234 data_time: 0.0164 memory: 17087 grad_norm: 5.5855 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5158 loss: 2.5158 2022/08/03 09:54:45 - mmengine - INFO - Epoch(train) [4][900/1879] lr: 4.0000e-03 eta: 2 days, 10:13:33 time: 0.4306 data_time: 0.0145 memory: 17087 grad_norm: 5.7010 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7201 loss: 2.7201 2022/08/03 09:54:53 - mmengine - INFO - Epoch(train) [4][920/1879] lr: 4.0000e-03 eta: 2 days, 10:12:59 time: 0.4241 data_time: 0.0155 memory: 17087 grad_norm: 5.6366 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.8383 loss: 2.8383 2022/08/03 09:55:02 - mmengine - INFO - Epoch(train) [4][940/1879] lr: 4.0000e-03 eta: 2 days, 10:12:40 time: 0.4352 data_time: 0.0136 memory: 17087 grad_norm: 5.6151 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4353 loss: 2.4353 2022/08/03 09:55:10 - mmengine - INFO - Epoch(train) [4][960/1879] lr: 4.0000e-03 eta: 2 days, 10:12:18 time: 0.4322 data_time: 0.0161 memory: 17087 grad_norm: 5.6257 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7695 loss: 2.7695 2022/08/03 09:55:19 - mmengine - INFO - Epoch(train) [4][980/1879] lr: 4.0000e-03 eta: 2 days, 10:11:44 time: 0.4240 data_time: 0.0146 memory: 17087 grad_norm: 5.7277 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.7449 loss: 2.7449 2022/08/03 09:55:27 - mmengine - INFO - Epoch(train) [4][1000/1879] lr: 4.0000e-03 eta: 2 days, 10:11:12 time: 0.4255 data_time: 0.0147 memory: 17087 grad_norm: 5.5966 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.5549 loss: 2.5549 2022/08/03 09:55:36 - mmengine - INFO - Epoch(train) [4][1020/1879] lr: 4.0000e-03 eta: 2 days, 10:10:36 time: 0.4226 data_time: 0.0138 memory: 17087 grad_norm: 5.6630 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.6648 loss: 2.6648 2022/08/03 09:55:45 - mmengine - INFO - Epoch(train) [4][1040/1879] lr: 4.0000e-03 eta: 2 days, 10:10:19 time: 0.4354 data_time: 0.0150 memory: 17087 grad_norm: 5.7220 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.6961 loss: 2.6961 2022/08/03 09:55:53 - mmengine - INFO - Epoch(train) [4][1060/1879] lr: 4.0000e-03 eta: 2 days, 10:09:52 time: 0.4287 data_time: 0.0153 memory: 17087 grad_norm: 5.6377 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4059 loss: 2.4059 2022/08/03 09:56:02 - mmengine - INFO - Epoch(train) [4][1080/1879] lr: 4.0000e-03 eta: 2 days, 10:09:35 time: 0.4358 data_time: 0.0156 memory: 17087 grad_norm: 5.6226 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.7546 loss: 2.7546 2022/08/03 09:56:10 - mmengine - INFO - Epoch(train) [4][1100/1879] lr: 4.0000e-03 eta: 2 days, 10:09:08 time: 0.4286 data_time: 0.0158 memory: 17087 grad_norm: 5.6626 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9852 loss: 2.9852 2022/08/03 09:56:19 - mmengine - INFO - Epoch(train) [4][1120/1879] lr: 4.0000e-03 eta: 2 days, 10:08:32 time: 0.4225 data_time: 0.0144 memory: 17087 grad_norm: 5.5668 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7430 loss: 2.7430 2022/08/03 09:56:27 - mmengine - INFO - Epoch(train) [4][1140/1879] lr: 4.0000e-03 eta: 2 days, 10:08:00 time: 0.4241 data_time: 0.0157 memory: 17087 grad_norm: 5.6171 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.8620 loss: 2.8620 2022/08/03 09:56:36 - mmengine - INFO - Epoch(train) [4][1160/1879] lr: 4.0000e-03 eta: 2 days, 10:07:26 time: 0.4235 data_time: 0.0153 memory: 17087 grad_norm: 5.6028 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.7917 loss: 2.7917 2022/08/03 09:56:44 - mmengine - INFO - Epoch(train) [4][1180/1879] lr: 4.0000e-03 eta: 2 days, 10:06:50 time: 0.4220 data_time: 0.0138 memory: 17087 grad_norm: 5.5564 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.9804 loss: 2.9804 2022/08/03 09:56:53 - mmengine - INFO - Epoch(train) [4][1200/1879] lr: 4.0000e-03 eta: 2 days, 10:06:21 time: 0.4263 data_time: 0.0144 memory: 17087 grad_norm: 5.5460 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4995 loss: 2.4995 2022/08/03 09:57:01 - mmengine - INFO - Epoch(train) [4][1220/1879] lr: 4.0000e-03 eta: 2 days, 10:05:53 time: 0.4271 data_time: 0.0146 memory: 17087 grad_norm: 5.6268 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7185 loss: 2.7185 2022/08/03 09:57:10 - mmengine - INFO - Epoch(train) [4][1240/1879] lr: 4.0000e-03 eta: 2 days, 10:05:26 time: 0.4281 data_time: 0.0145 memory: 17087 grad_norm: 5.7597 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.8907 loss: 2.8907 2022/08/03 09:57:19 - mmengine - INFO - Epoch(train) [4][1260/1879] lr: 4.0000e-03 eta: 2 days, 10:05:30 time: 0.4505 data_time: 0.0151 memory: 17087 grad_norm: 5.6361 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5957 loss: 2.5957 2022/08/03 09:57:27 - mmengine - INFO - Epoch(train) [4][1280/1879] lr: 4.0000e-03 eta: 2 days, 10:04:55 time: 0.4223 data_time: 0.0141 memory: 17087 grad_norm: 5.6210 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5963 loss: 2.5963 2022/08/03 09:57:36 - mmengine - INFO - Epoch(train) [4][1300/1879] lr: 4.0000e-03 eta: 2 days, 10:04:20 time: 0.4213 data_time: 0.0143 memory: 17087 grad_norm: 5.5760 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6312 loss: 2.6312 2022/08/03 09:57:45 - mmengine - INFO - Epoch(train) [4][1320/1879] lr: 4.0000e-03 eta: 2 days, 10:04:20 time: 0.4479 data_time: 0.0178 memory: 17087 grad_norm: 5.6267 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.8205 loss: 2.8205 2022/08/03 09:57:53 - mmengine - INFO - Epoch(train) [4][1340/1879] lr: 4.0000e-03 eta: 2 days, 10:03:46 time: 0.4225 data_time: 0.0137 memory: 17087 grad_norm: 5.6245 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5588 loss: 2.5588 2022/08/03 09:58:02 - mmengine - INFO - Epoch(train) [4][1360/1879] lr: 4.0000e-03 eta: 2 days, 10:03:20 time: 0.4280 data_time: 0.0158 memory: 17087 grad_norm: 5.6316 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6494 loss: 2.6494 2022/08/03 09:58:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 09:58:10 - mmengine - INFO - Epoch(train) [4][1380/1879] lr: 4.0000e-03 eta: 2 days, 10:02:45 time: 0.4217 data_time: 0.0159 memory: 17087 grad_norm: 5.5882 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.6648 loss: 2.6648 2022/08/03 09:58:19 - mmengine - INFO - Epoch(train) [4][1400/1879] lr: 4.0000e-03 eta: 2 days, 10:02:35 time: 0.4396 data_time: 0.0163 memory: 17087 grad_norm: 5.5782 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7799 loss: 2.7799 2022/08/03 09:58:27 - mmengine - INFO - Epoch(train) [4][1420/1879] lr: 4.0000e-03 eta: 2 days, 10:02:03 time: 0.4240 data_time: 0.0149 memory: 17087 grad_norm: 5.5998 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.7231 loss: 2.7231 2022/08/03 09:58:36 - mmengine - INFO - Epoch(train) [4][1440/1879] lr: 4.0000e-03 eta: 2 days, 10:01:32 time: 0.4242 data_time: 0.0148 memory: 17087 grad_norm: 5.6628 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6063 loss: 2.6063 2022/08/03 09:58:45 - mmengine - INFO - Epoch(train) [4][1460/1879] lr: 4.0000e-03 eta: 2 days, 10:01:16 time: 0.4352 data_time: 0.0152 memory: 17087 grad_norm: 5.7851 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7494 loss: 2.7494 2022/08/03 09:58:53 - mmengine - INFO - Epoch(train) [4][1480/1879] lr: 4.0000e-03 eta: 2 days, 10:00:47 time: 0.4261 data_time: 0.0158 memory: 17087 grad_norm: 5.6603 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.6164 loss: 2.6164 2022/08/03 09:59:02 - mmengine - INFO - Epoch(train) [4][1500/1879] lr: 4.0000e-03 eta: 2 days, 10:00:13 time: 0.4212 data_time: 0.0140 memory: 17087 grad_norm: 5.6423 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2801 loss: 2.2801 2022/08/03 09:59:10 - mmengine - INFO - Epoch(train) [4][1520/1879] lr: 4.0000e-03 eta: 2 days, 9:59:47 time: 0.4278 data_time: 0.0183 memory: 17087 grad_norm: 5.6524 top1_acc: 0.1875 top5_acc: 0.3750 loss_cls: 2.7006 loss: 2.7006 2022/08/03 09:59:19 - mmengine - INFO - Epoch(train) [4][1540/1879] lr: 4.0000e-03 eta: 2 days, 9:59:13 time: 0.4215 data_time: 0.0147 memory: 17087 grad_norm: 5.6676 top1_acc: 0.2500 top5_acc: 0.4375 loss_cls: 2.8348 loss: 2.8348 2022/08/03 09:59:27 - mmengine - INFO - Epoch(train) [4][1560/1879] lr: 4.0000e-03 eta: 2 days, 9:58:42 time: 0.4239 data_time: 0.0175 memory: 17087 grad_norm: 5.6026 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4208 loss: 2.4208 2022/08/03 09:59:36 - mmengine - INFO - Epoch(train) [4][1580/1879] lr: 4.0000e-03 eta: 2 days, 9:58:14 time: 0.4256 data_time: 0.0156 memory: 17087 grad_norm: 5.6150 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3996 loss: 2.3996 2022/08/03 09:59:44 - mmengine - INFO - Epoch(train) [4][1600/1879] lr: 4.0000e-03 eta: 2 days, 9:57:45 time: 0.4253 data_time: 0.0163 memory: 17087 grad_norm: 5.6291 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7215 loss: 2.7215 2022/08/03 09:59:53 - mmengine - INFO - Epoch(train) [4][1620/1879] lr: 4.0000e-03 eta: 2 days, 9:57:16 time: 0.4251 data_time: 0.0169 memory: 17087 grad_norm: 5.5697 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7100 loss: 2.7100 2022/08/03 10:00:01 - mmengine - INFO - Epoch(train) [4][1640/1879] lr: 4.0000e-03 eta: 2 days, 9:56:49 time: 0.4260 data_time: 0.0161 memory: 17087 grad_norm: 5.6694 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5134 loss: 2.5134 2022/08/03 10:00:10 - mmengine - INFO - Epoch(train) [4][1660/1879] lr: 4.0000e-03 eta: 2 days, 9:56:47 time: 0.4456 data_time: 0.0143 memory: 17087 grad_norm: 5.5991 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.8355 loss: 2.8355 2022/08/03 10:00:19 - mmengine - INFO - Epoch(train) [4][1680/1879] lr: 4.0000e-03 eta: 2 days, 9:56:18 time: 0.4248 data_time: 0.0144 memory: 17087 grad_norm: 5.5396 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.6798 loss: 2.6798 2022/08/03 10:00:27 - mmengine - INFO - Epoch(train) [4][1700/1879] lr: 4.0000e-03 eta: 2 days, 9:55:46 time: 0.4225 data_time: 0.0144 memory: 17087 grad_norm: 5.5664 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.6505 loss: 2.6505 2022/08/03 10:00:36 - mmengine - INFO - Epoch(train) [4][1720/1879] lr: 4.0000e-03 eta: 2 days, 9:55:46 time: 0.4475 data_time: 0.0151 memory: 17087 grad_norm: 5.5681 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5362 loss: 2.5362 2022/08/03 10:00:44 - mmengine - INFO - Epoch(train) [4][1740/1879] lr: 4.0000e-03 eta: 2 days, 9:55:14 time: 0.4219 data_time: 0.0142 memory: 17087 grad_norm: 5.6145 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4220 loss: 2.4220 2022/08/03 10:00:53 - mmengine - INFO - Epoch(train) [4][1760/1879] lr: 4.0000e-03 eta: 2 days, 9:54:50 time: 0.4281 data_time: 0.0163 memory: 17087 grad_norm: 5.6222 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.7749 loss: 2.7749 2022/08/03 10:01:01 - mmengine - INFO - Epoch(train) [4][1780/1879] lr: 4.0000e-03 eta: 2 days, 9:54:18 time: 0.4222 data_time: 0.0154 memory: 17087 grad_norm: 5.6486 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5732 loss: 2.5732 2022/08/03 10:01:10 - mmengine - INFO - Epoch(train) [4][1800/1879] lr: 4.0000e-03 eta: 2 days, 9:54:15 time: 0.4452 data_time: 0.0161 memory: 17087 grad_norm: 5.6645 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5531 loss: 2.5531 2022/08/03 10:01:19 - mmengine - INFO - Epoch(train) [4][1820/1879] lr: 4.0000e-03 eta: 2 days, 9:53:45 time: 0.4231 data_time: 0.0142 memory: 17087 grad_norm: 5.6164 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5132 loss: 2.5132 2022/08/03 10:01:28 - mmengine - INFO - Epoch(train) [4][1840/1879] lr: 4.0000e-03 eta: 2 days, 9:53:39 time: 0.4426 data_time: 0.0156 memory: 17087 grad_norm: 5.5831 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.7171 loss: 2.7171 2022/08/03 10:01:36 - mmengine - INFO - Epoch(train) [4][1860/1879] lr: 4.0000e-03 eta: 2 days, 9:53:07 time: 0.4218 data_time: 0.0151 memory: 17087 grad_norm: 5.6334 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.7000 loss: 2.7000 2022/08/03 10:01:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:01:44 - mmengine - INFO - Epoch(train) [4][1879/1879] lr: 4.0000e-03 eta: 2 days, 9:53:07 time: 0.4077 data_time: 0.0149 memory: 17087 grad_norm: 5.6111 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.5404 loss: 2.5404 2022/08/03 10:01:44 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/08/03 10:01:58 - mmengine - INFO - Epoch(train) [5][20/1879] lr: 5.0000e-03 eta: 2 days, 9:45:39 time: 0.5148 data_time: 0.1048 memory: 17087 grad_norm: 5.5633 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6394 loss: 2.6394 2022/08/03 10:02:06 - mmengine - INFO - Epoch(train) [5][40/1879] lr: 5.0000e-03 eta: 2 days, 9:45:32 time: 0.4409 data_time: 0.0145 memory: 17087 grad_norm: 5.5206 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.5218 loss: 2.5218 2022/08/03 10:02:15 - mmengine - INFO - Epoch(train) [5][60/1879] lr: 5.0000e-03 eta: 2 days, 9:45:01 time: 0.4211 data_time: 0.0157 memory: 17087 grad_norm: 5.5517 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5963 loss: 2.5963 2022/08/03 10:02:24 - mmengine - INFO - Epoch(train) [5][80/1879] lr: 5.0000e-03 eta: 2 days, 9:44:59 time: 0.4448 data_time: 0.0153 memory: 17087 grad_norm: 5.6799 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.7989 loss: 2.7989 2022/08/03 10:02:32 - mmengine - INFO - Epoch(train) [5][100/1879] lr: 5.0000e-03 eta: 2 days, 9:44:30 time: 0.4231 data_time: 0.0147 memory: 17087 grad_norm: 5.6277 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.7934 loss: 2.7934 2022/08/03 10:02:41 - mmengine - INFO - Epoch(train) [5][120/1879] lr: 5.0000e-03 eta: 2 days, 9:44:09 time: 0.4290 data_time: 0.0162 memory: 17087 grad_norm: 5.6893 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.7270 loss: 2.7270 2022/08/03 10:02:49 - mmengine - INFO - Epoch(train) [5][140/1879] lr: 5.0000e-03 eta: 2 days, 9:43:47 time: 0.4283 data_time: 0.0152 memory: 17087 grad_norm: 5.6225 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.5238 loss: 2.5238 2022/08/03 10:02:58 - mmengine - INFO - Epoch(train) [5][160/1879] lr: 5.0000e-03 eta: 2 days, 9:43:20 time: 0.4241 data_time: 0.0147 memory: 17087 grad_norm: 5.6664 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5911 loss: 2.5911 2022/08/03 10:03:06 - mmengine - INFO - Epoch(train) [5][180/1879] lr: 5.0000e-03 eta: 2 days, 9:42:51 time: 0.4229 data_time: 0.0168 memory: 17087 grad_norm: 5.5782 top1_acc: 0.0625 top5_acc: 0.5000 loss_cls: 2.6371 loss: 2.6371 2022/08/03 10:03:15 - mmengine - INFO - Epoch(train) [5][200/1879] lr: 5.0000e-03 eta: 2 days, 9:42:24 time: 0.4243 data_time: 0.0145 memory: 17087 grad_norm: 5.6179 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6156 loss: 2.6156 2022/08/03 10:03:23 - mmengine - INFO - Epoch(train) [5][220/1879] lr: 5.0000e-03 eta: 2 days, 9:42:07 time: 0.4320 data_time: 0.0129 memory: 17087 grad_norm: 5.7450 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5755 loss: 2.5755 2022/08/03 10:03:32 - mmengine - INFO - Epoch(train) [5][240/1879] lr: 5.0000e-03 eta: 2 days, 9:41:43 time: 0.4262 data_time: 0.0167 memory: 17087 grad_norm: 5.6685 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4597 loss: 2.4597 2022/08/03 10:03:40 - mmengine - INFO - Epoch(train) [5][260/1879] lr: 5.0000e-03 eta: 2 days, 9:41:18 time: 0.4254 data_time: 0.0177 memory: 17087 grad_norm: 5.6244 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.5781 loss: 2.5781 2022/08/03 10:03:49 - mmengine - INFO - Epoch(train) [5][280/1879] lr: 5.0000e-03 eta: 2 days, 9:40:51 time: 0.4240 data_time: 0.0155 memory: 17087 grad_norm: 5.7449 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.7105 loss: 2.7105 2022/08/03 10:03:57 - mmengine - INFO - Epoch(train) [5][300/1879] lr: 5.0000e-03 eta: 2 days, 9:40:21 time: 0.4217 data_time: 0.0141 memory: 17087 grad_norm: 5.6365 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5972 loss: 2.5972 2022/08/03 10:04:06 - mmengine - INFO - Epoch(train) [5][320/1879] lr: 5.0000e-03 eta: 2 days, 9:40:18 time: 0.4433 data_time: 0.0158 memory: 17087 grad_norm: 5.7521 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5245 loss: 2.5245 2022/08/03 10:04:15 - mmengine - INFO - Epoch(train) [5][340/1879] lr: 5.0000e-03 eta: 2 days, 9:39:58 time: 0.4290 data_time: 0.0179 memory: 17087 grad_norm: 5.6356 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6536 loss: 2.6536 2022/08/03 10:04:23 - mmengine - INFO - Epoch(train) [5][360/1879] lr: 5.0000e-03 eta: 2 days, 9:39:30 time: 0.4230 data_time: 0.0171 memory: 17087 grad_norm: 5.5643 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5426 loss: 2.5426 2022/08/03 10:04:32 - mmengine - INFO - Epoch(train) [5][380/1879] lr: 5.0000e-03 eta: 2 days, 9:39:10 time: 0.4296 data_time: 0.0148 memory: 17087 grad_norm: 5.6507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5751 loss: 2.5751 2022/08/03 10:04:40 - mmengine - INFO - Epoch(train) [5][400/1879] lr: 5.0000e-03 eta: 2 days, 9:38:48 time: 0.4271 data_time: 0.0168 memory: 17087 grad_norm: 5.6594 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5545 loss: 2.5545 2022/08/03 10:04:49 - mmengine - INFO - Epoch(train) [5][420/1879] lr: 5.0000e-03 eta: 2 days, 9:38:20 time: 0.4227 data_time: 0.0137 memory: 17087 grad_norm: 5.7213 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.5072 loss: 2.5072 2022/08/03 10:04:57 - mmengine - INFO - Epoch(train) [5][440/1879] lr: 5.0000e-03 eta: 2 days, 9:37:54 time: 0.4246 data_time: 0.0159 memory: 17087 grad_norm: 5.6560 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5558 loss: 2.5558 2022/08/03 10:05:06 - mmengine - INFO - Epoch(train) [5][460/1879] lr: 5.0000e-03 eta: 2 days, 9:37:34 time: 0.4290 data_time: 0.0167 memory: 17087 grad_norm: 5.6820 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.5978 loss: 2.5978 2022/08/03 10:05:15 - mmengine - INFO - Epoch(train) [5][480/1879] lr: 5.0000e-03 eta: 2 days, 9:37:27 time: 0.4395 data_time: 0.0148 memory: 17087 grad_norm: 5.5282 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.7128 loss: 2.7128 2022/08/03 10:05:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:05:23 - mmengine - INFO - Epoch(train) [5][500/1879] lr: 5.0000e-03 eta: 2 days, 9:37:17 time: 0.4379 data_time: 0.0190 memory: 17087 grad_norm: 5.6642 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5970 loss: 2.5970 2022/08/03 10:05:32 - mmengine - INFO - Epoch(train) [5][520/1879] lr: 5.0000e-03 eta: 2 days, 9:36:50 time: 0.4225 data_time: 0.0154 memory: 17087 grad_norm: 5.6180 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.4635 loss: 2.4635 2022/08/03 10:05:40 - mmengine - INFO - Epoch(train) [5][540/1879] lr: 5.0000e-03 eta: 2 days, 9:36:29 time: 0.4281 data_time: 0.0146 memory: 17087 grad_norm: 5.6742 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5510 loss: 2.5510 2022/08/03 10:05:49 - mmengine - INFO - Epoch(train) [5][560/1879] lr: 5.0000e-03 eta: 2 days, 9:36:02 time: 0.4236 data_time: 0.0150 memory: 17087 grad_norm: 5.6118 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7170 loss: 2.7170 2022/08/03 10:05:58 - mmengine - INFO - Epoch(train) [5][580/1879] lr: 5.0000e-03 eta: 2 days, 9:35:56 time: 0.4400 data_time: 0.0139 memory: 17087 grad_norm: 5.6645 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.6672 loss: 2.6672 2022/08/03 10:06:06 - mmengine - INFO - Epoch(train) [5][600/1879] lr: 5.0000e-03 eta: 2 days, 9:35:34 time: 0.4273 data_time: 0.0153 memory: 17087 grad_norm: 5.5096 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.7178 loss: 2.7178 2022/08/03 10:06:15 - mmengine - INFO - Epoch(train) [5][620/1879] lr: 5.0000e-03 eta: 2 days, 9:35:25 time: 0.4388 data_time: 0.0145 memory: 17087 grad_norm: 5.6544 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4793 loss: 2.4793 2022/08/03 10:06:24 - mmengine - INFO - Epoch(train) [5][640/1879] lr: 5.0000e-03 eta: 2 days, 9:35:02 time: 0.4260 data_time: 0.0173 memory: 17087 grad_norm: 5.4806 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.5688 loss: 2.5688 2022/08/03 10:06:32 - mmengine - INFO - Epoch(train) [5][660/1879] lr: 5.0000e-03 eta: 2 days, 9:34:54 time: 0.4392 data_time: 0.0158 memory: 17087 grad_norm: 5.5539 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6700 loss: 2.6700 2022/08/03 10:06:41 - mmengine - INFO - Epoch(train) [5][680/1879] lr: 5.0000e-03 eta: 2 days, 9:34:33 time: 0.4272 data_time: 0.0180 memory: 17087 grad_norm: 5.5214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2797 loss: 2.2797 2022/08/03 10:06:50 - mmengine - INFO - Epoch(train) [5][700/1879] lr: 5.0000e-03 eta: 2 days, 9:34:23 time: 0.4374 data_time: 0.0155 memory: 17087 grad_norm: 5.5246 top1_acc: 0.1250 top5_acc: 0.4375 loss_cls: 2.6640 loss: 2.6640 2022/08/03 10:06:58 - mmengine - INFO - Epoch(train) [5][720/1879] lr: 5.0000e-03 eta: 2 days, 9:33:58 time: 0.4241 data_time: 0.0149 memory: 17087 grad_norm: 5.6577 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4994 loss: 2.4994 2022/08/03 10:07:07 - mmengine - INFO - Epoch(train) [5][740/1879] lr: 5.0000e-03 eta: 2 days, 9:33:31 time: 0.4225 data_time: 0.0145 memory: 17087 grad_norm: 5.7207 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.5161 loss: 2.5161 2022/08/03 10:07:15 - mmengine - INFO - Epoch(train) [5][760/1879] lr: 5.0000e-03 eta: 2 days, 9:33:06 time: 0.4245 data_time: 0.0159 memory: 17087 grad_norm: 5.4814 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4341 loss: 2.4341 2022/08/03 10:07:24 - mmengine - INFO - Epoch(train) [5][780/1879] lr: 5.0000e-03 eta: 2 days, 9:32:47 time: 0.4287 data_time: 0.0184 memory: 17087 grad_norm: 5.6557 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.6540 loss: 2.6540 2022/08/03 10:07:33 - mmengine - INFO - Epoch(train) [5][800/1879] lr: 5.0000e-03 eta: 2 days, 9:33:09 time: 0.4655 data_time: 0.0162 memory: 17087 grad_norm: 5.7086 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.5371 loss: 2.5371 2022/08/03 10:07:42 - mmengine - INFO - Epoch(train) [5][820/1879] lr: 5.0000e-03 eta: 2 days, 9:32:44 time: 0.4246 data_time: 0.0148 memory: 17087 grad_norm: 5.5511 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.5750 loss: 2.5750 2022/08/03 10:07:50 - mmengine - INFO - Epoch(train) [5][840/1879] lr: 5.0000e-03 eta: 2 days, 9:32:23 time: 0.4270 data_time: 0.0187 memory: 17087 grad_norm: 5.5565 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.7561 loss: 2.7561 2022/08/03 10:07:58 - mmengine - INFO - Epoch(train) [5][860/1879] lr: 5.0000e-03 eta: 2 days, 9:31:56 time: 0.4220 data_time: 0.0142 memory: 17087 grad_norm: 5.6037 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4558 loss: 2.4558 2022/08/03 10:08:07 - mmengine - INFO - Epoch(train) [5][880/1879] lr: 5.0000e-03 eta: 2 days, 9:31:32 time: 0.4244 data_time: 0.0157 memory: 17087 grad_norm: 5.5295 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5772 loss: 2.5772 2022/08/03 10:08:16 - mmengine - INFO - Epoch(train) [5][900/1879] lr: 5.0000e-03 eta: 2 days, 9:31:22 time: 0.4374 data_time: 0.0141 memory: 17087 grad_norm: 5.5965 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5763 loss: 2.5763 2022/08/03 10:08:24 - mmengine - INFO - Epoch(train) [5][920/1879] lr: 5.0000e-03 eta: 2 days, 9:30:57 time: 0.4240 data_time: 0.0160 memory: 17087 grad_norm: 5.5297 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6387 loss: 2.6387 2022/08/03 10:08:33 - mmengine - INFO - Epoch(train) [5][940/1879] lr: 5.0000e-03 eta: 2 days, 9:30:50 time: 0.4391 data_time: 0.0150 memory: 17087 grad_norm: 5.5810 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4126 loss: 2.4126 2022/08/03 10:08:41 - mmengine - INFO - Epoch(train) [5][960/1879] lr: 5.0000e-03 eta: 2 days, 9:30:26 time: 0.4244 data_time: 0.0154 memory: 17087 grad_norm: 5.5608 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.6056 loss: 2.6056 2022/08/03 10:08:50 - mmengine - INFO - Epoch(train) [5][980/1879] lr: 5.0000e-03 eta: 2 days, 9:30:03 time: 0.4253 data_time: 0.0139 memory: 17087 grad_norm: 5.6139 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.5180 loss: 2.5180 2022/08/03 10:08:58 - mmengine - INFO - Epoch(train) [5][1000/1879] lr: 5.0000e-03 eta: 2 days, 9:29:37 time: 0.4227 data_time: 0.0146 memory: 17087 grad_norm: 5.6686 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.5576 loss: 2.5576 2022/08/03 10:09:07 - mmengine - INFO - Epoch(train) [5][1020/1879] lr: 5.0000e-03 eta: 2 days, 9:29:19 time: 0.4295 data_time: 0.0143 memory: 17087 grad_norm: 5.6433 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4756 loss: 2.4756 2022/08/03 10:09:15 - mmengine - INFO - Epoch(train) [5][1040/1879] lr: 5.0000e-03 eta: 2 days, 9:28:54 time: 0.4238 data_time: 0.0147 memory: 17087 grad_norm: 5.5604 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 2.5276 loss: 2.5276 2022/08/03 10:09:24 - mmengine - INFO - Epoch(train) [5][1060/1879] lr: 5.0000e-03 eta: 2 days, 9:28:31 time: 0.4247 data_time: 0.0140 memory: 17087 grad_norm: 5.6135 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7542 loss: 2.7542 2022/08/03 10:09:32 - mmengine - INFO - Epoch(train) [5][1080/1879] lr: 5.0000e-03 eta: 2 days, 9:28:07 time: 0.4247 data_time: 0.0160 memory: 17087 grad_norm: 5.6337 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4834 loss: 2.4834 2022/08/03 10:09:41 - mmengine - INFO - Epoch(train) [5][1100/1879] lr: 5.0000e-03 eta: 2 days, 9:27:44 time: 0.4245 data_time: 0.0141 memory: 17087 grad_norm: 5.5576 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4609 loss: 2.4609 2022/08/03 10:09:49 - mmengine - INFO - Epoch(train) [5][1120/1879] lr: 5.0000e-03 eta: 2 days, 9:27:23 time: 0.4269 data_time: 0.0159 memory: 17087 grad_norm: 5.6381 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4312 loss: 2.4312 2022/08/03 10:09:58 - mmengine - INFO - Epoch(train) [5][1140/1879] lr: 5.0000e-03 eta: 2 days, 9:26:56 time: 0.4211 data_time: 0.0139 memory: 17087 grad_norm: 5.4163 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6882 loss: 2.6882 2022/08/03 10:10:07 - mmengine - INFO - Epoch(train) [5][1160/1879] lr: 5.0000e-03 eta: 2 days, 9:26:51 time: 0.4409 data_time: 0.0146 memory: 17087 grad_norm: 5.6450 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 2.6303 loss: 2.6303 2022/08/03 10:10:15 - mmengine - INFO - Epoch(train) [5][1180/1879] lr: 5.0000e-03 eta: 2 days, 9:26:26 time: 0.4236 data_time: 0.0159 memory: 17087 grad_norm: 5.5500 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.6176 loss: 2.6176 2022/08/03 10:10:24 - mmengine - INFO - Epoch(train) [5][1200/1879] lr: 5.0000e-03 eta: 2 days, 9:26:04 time: 0.4255 data_time: 0.0169 memory: 17087 grad_norm: 5.6234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5803 loss: 2.5803 2022/08/03 10:10:33 - mmengine - INFO - Epoch(train) [5][1220/1879] lr: 5.0000e-03 eta: 2 days, 9:25:58 time: 0.4403 data_time: 0.0177 memory: 17087 grad_norm: 5.6035 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6366 loss: 2.6366 2022/08/03 10:10:41 - mmengine - INFO - Epoch(train) [5][1240/1879] lr: 5.0000e-03 eta: 2 days, 9:25:32 time: 0.4212 data_time: 0.0144 memory: 17087 grad_norm: 5.6483 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.7505 loss: 2.7505 2022/08/03 10:10:49 - mmengine - INFO - Epoch(train) [5][1260/1879] lr: 5.0000e-03 eta: 2 days, 9:25:07 time: 0.4231 data_time: 0.0141 memory: 17087 grad_norm: 5.4621 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.4719 loss: 2.4719 2022/08/03 10:10:58 - mmengine - INFO - Epoch(train) [5][1280/1879] lr: 5.0000e-03 eta: 2 days, 9:24:42 time: 0.4227 data_time: 0.0143 memory: 17087 grad_norm: 5.5215 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.6071 loss: 2.6071 2022/08/03 10:11:06 - mmengine - INFO - Epoch(train) [5][1300/1879] lr: 5.0000e-03 eta: 2 days, 9:24:17 time: 0.4219 data_time: 0.0142 memory: 17087 grad_norm: 5.5537 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3759 loss: 2.3759 2022/08/03 10:11:15 - mmengine - INFO - Epoch(train) [5][1320/1879] lr: 5.0000e-03 eta: 2 days, 9:24:12 time: 0.4416 data_time: 0.0150 memory: 17087 grad_norm: 5.4882 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4411 loss: 2.4411 2022/08/03 10:11:24 - mmengine - INFO - Epoch(train) [5][1340/1879] lr: 5.0000e-03 eta: 2 days, 9:23:48 time: 0.4232 data_time: 0.0149 memory: 17087 grad_norm: 5.5961 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.5529 loss: 2.5529 2022/08/03 10:11:32 - mmengine - INFO - Epoch(train) [5][1360/1879] lr: 5.0000e-03 eta: 2 days, 9:23:45 time: 0.4429 data_time: 0.0149 memory: 17087 grad_norm: 5.4980 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4759 loss: 2.4759 2022/08/03 10:11:41 - mmengine - INFO - Epoch(train) [5][1380/1879] lr: 5.0000e-03 eta: 2 days, 9:23:22 time: 0.4241 data_time: 0.0154 memory: 17087 grad_norm: 5.6403 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5686 loss: 2.5686 2022/08/03 10:11:49 - mmengine - INFO - Epoch(train) [5][1400/1879] lr: 5.0000e-03 eta: 2 days, 9:23:02 time: 0.4267 data_time: 0.0165 memory: 17087 grad_norm: 5.5557 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.6871 loss: 2.6871 2022/08/03 10:11:58 - mmengine - INFO - Epoch(train) [5][1420/1879] lr: 5.0000e-03 eta: 2 days, 9:22:37 time: 0.4226 data_time: 0.0141 memory: 17087 grad_norm: 5.6273 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 2.4472 loss: 2.4472 2022/08/03 10:12:06 - mmengine - INFO - Epoch(train) [5][1440/1879] lr: 5.0000e-03 eta: 2 days, 9:22:14 time: 0.4237 data_time: 0.0146 memory: 17087 grad_norm: 5.5970 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4837 loss: 2.4837 2022/08/03 10:12:15 - mmengine - INFO - Epoch(train) [5][1460/1879] lr: 5.0000e-03 eta: 2 days, 9:22:05 time: 0.4378 data_time: 0.0144 memory: 17087 grad_norm: 5.7658 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5390 loss: 2.5390 2022/08/03 10:12:24 - mmengine - INFO - Epoch(train) [5][1480/1879] lr: 5.0000e-03 eta: 2 days, 9:21:42 time: 0.4241 data_time: 0.0152 memory: 17087 grad_norm: 5.6436 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5462 loss: 2.5462 2022/08/03 10:12:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:12:32 - mmengine - INFO - Epoch(train) [5][1500/1879] lr: 5.0000e-03 eta: 2 days, 9:21:21 time: 0.4258 data_time: 0.0162 memory: 17087 grad_norm: 5.6262 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4166 loss: 2.4166 2022/08/03 10:12:41 - mmengine - INFO - Epoch(train) [5][1520/1879] lr: 5.0000e-03 eta: 2 days, 9:20:58 time: 0.4232 data_time: 0.0157 memory: 17087 grad_norm: 5.5215 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4459 loss: 2.4459 2022/08/03 10:12:49 - mmengine - INFO - Epoch(train) [5][1540/1879] lr: 5.0000e-03 eta: 2 days, 9:20:36 time: 0.4254 data_time: 0.0139 memory: 17087 grad_norm: 5.6629 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4833 loss: 2.4833 2022/08/03 10:12:58 - mmengine - INFO - Epoch(train) [5][1560/1879] lr: 5.0000e-03 eta: 2 days, 9:20:27 time: 0.4368 data_time: 0.0152 memory: 17087 grad_norm: 5.7224 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4360 loss: 2.4360 2022/08/03 10:13:06 - mmengine - INFO - Epoch(train) [5][1580/1879] lr: 5.0000e-03 eta: 2 days, 9:20:07 time: 0.4267 data_time: 0.0197 memory: 17087 grad_norm: 5.6765 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.6024 loss: 2.6024 2022/08/03 10:13:15 - mmengine - INFO - Epoch(train) [5][1600/1879] lr: 5.0000e-03 eta: 2 days, 9:19:48 time: 0.4268 data_time: 0.0156 memory: 17087 grad_norm: 5.6361 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.7141 loss: 2.7141 2022/08/03 10:13:23 - mmengine - INFO - Epoch(train) [5][1620/1879] lr: 5.0000e-03 eta: 2 days, 9:19:24 time: 0.4230 data_time: 0.0147 memory: 17087 grad_norm: 5.5217 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6179 loss: 2.6179 2022/08/03 10:13:32 - mmengine - INFO - Epoch(train) [5][1640/1879] lr: 5.0000e-03 eta: 2 days, 9:19:18 time: 0.4398 data_time: 0.0153 memory: 17087 grad_norm: 5.5787 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.8180 loss: 2.8180 2022/08/03 10:13:41 - mmengine - INFO - Epoch(train) [5][1660/1879] lr: 5.0000e-03 eta: 2 days, 9:18:55 time: 0.4238 data_time: 0.0163 memory: 17087 grad_norm: 5.5481 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.4216 loss: 2.4216 2022/08/03 10:13:49 - mmengine - INFO - Epoch(train) [5][1680/1879] lr: 5.0000e-03 eta: 2 days, 9:18:35 time: 0.4258 data_time: 0.0146 memory: 17087 grad_norm: 5.4544 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3376 loss: 2.3376 2022/08/03 10:13:58 - mmengine - INFO - Epoch(train) [5][1700/1879] lr: 5.0000e-03 eta: 2 days, 9:18:24 time: 0.4353 data_time: 0.0136 memory: 17087 grad_norm: 5.6842 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6278 loss: 2.6278 2022/08/03 10:14:06 - mmengine - INFO - Epoch(train) [5][1720/1879] lr: 5.0000e-03 eta: 2 days, 9:18:02 time: 0.4247 data_time: 0.0148 memory: 17087 grad_norm: 5.6042 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.7517 loss: 2.7517 2022/08/03 10:14:15 - mmengine - INFO - Epoch(train) [5][1740/1879] lr: 5.0000e-03 eta: 2 days, 9:18:07 time: 0.4506 data_time: 0.0173 memory: 17087 grad_norm: 5.6859 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.5393 loss: 2.5393 2022/08/03 10:14:24 - mmengine - INFO - Epoch(train) [5][1760/1879] lr: 5.0000e-03 eta: 2 days, 9:17:49 time: 0.4275 data_time: 0.0191 memory: 17087 grad_norm: 5.5412 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.5593 loss: 2.5593 2022/08/03 10:14:33 - mmengine - INFO - Epoch(train) [5][1780/1879] lr: 5.0000e-03 eta: 2 days, 9:17:46 time: 0.4432 data_time: 0.0158 memory: 17087 grad_norm: 5.5737 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.4854 loss: 2.4854 2022/08/03 10:14:41 - mmengine - INFO - Epoch(train) [5][1800/1879] lr: 5.0000e-03 eta: 2 days, 9:17:24 time: 0.4241 data_time: 0.0154 memory: 17087 grad_norm: 5.6431 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.6330 loss: 2.6330 2022/08/03 10:14:50 - mmengine - INFO - Epoch(train) [5][1820/1879] lr: 5.0000e-03 eta: 2 days, 9:17:20 time: 0.4419 data_time: 0.0144 memory: 17087 grad_norm: 5.6368 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4991 loss: 2.4991 2022/08/03 10:14:59 - mmengine - INFO - Epoch(train) [5][1840/1879] lr: 5.0000e-03 eta: 2 days, 9:16:59 time: 0.4256 data_time: 0.0162 memory: 17087 grad_norm: 5.5639 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4442 loss: 2.4442 2022/08/03 10:15:07 - mmengine - INFO - Epoch(train) [5][1860/1879] lr: 5.0000e-03 eta: 2 days, 9:16:39 time: 0.4253 data_time: 0.0182 memory: 17087 grad_norm: 5.5677 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3900 loss: 2.3900 2022/08/03 10:15:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:15:15 - mmengine - INFO - Epoch(train) [5][1879/1879] lr: 5.0000e-03 eta: 2 days, 9:16:39 time: 0.4246 data_time: 0.0131 memory: 17087 grad_norm: 5.6680 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.5496 loss: 2.5496 2022/08/03 10:16:15 - mmengine - INFO - Epoch(val) [5][20/155] eta: 0:06:45 time: 3.0012 data_time: 2.8336 memory: 2821 2022/08/03 10:16:21 - mmengine - INFO - Epoch(val) [5][40/155] eta: 0:00:29 time: 0.2605 data_time: 0.0956 memory: 2821 2022/08/03 10:16:27 - mmengine - INFO - Epoch(val) [5][60/155] eta: 0:00:30 time: 0.3173 data_time: 0.1532 memory: 2821 2022/08/03 10:16:32 - mmengine - INFO - Epoch(val) [5][80/155] eta: 0:00:20 time: 0.2738 data_time: 0.1092 memory: 2821 2022/08/03 10:16:39 - mmengine - INFO - Epoch(val) [5][100/155] eta: 0:00:17 time: 0.3196 data_time: 0.1566 memory: 2821 2022/08/03 10:16:44 - mmengine - INFO - Epoch(val) [5][120/155] eta: 0:00:09 time: 0.2844 data_time: 0.1203 memory: 2821 2022/08/03 10:16:51 - mmengine - INFO - Epoch(val) [5][140/155] eta: 0:00:05 time: 0.3377 data_time: 0.1724 memory: 2821 2022/08/03 10:17:16 - mmengine - INFO - Epoch(val) [5][155/155] acc/top1: 0.5301 acc/top5: 0.7820 acc/mean1: 0.5299 2022/08/03 10:17:18 - mmengine - INFO - The best checkpoint with 0.5301 acc/top1 at 6 epoch is saved to best_acc/top1_epoch_6.pth. 2022/08/03 10:17:29 - mmengine - INFO - Epoch(train) [6][20/1879] lr: 6.0000e-03 eta: 2 days, 9:10:44 time: 0.5159 data_time: 0.1053 memory: 38433 grad_norm: 5.4863 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.5865 loss: 2.5865 2022/08/03 10:17:37 - mmengine - INFO - Epoch(train) [6][40/1879] lr: 6.0000e-03 eta: 2 days, 9:10:33 time: 0.4338 data_time: 0.0146 memory: 17087 grad_norm: 5.6006 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3366 loss: 2.3366 2022/08/03 10:17:46 - mmengine - INFO - Epoch(train) [6][60/1879] lr: 6.0000e-03 eta: 2 days, 9:10:12 time: 0.4243 data_time: 0.0146 memory: 17087 grad_norm: 5.6226 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.4836 loss: 2.4836 2022/08/03 10:17:54 - mmengine - INFO - Epoch(train) [6][80/1879] lr: 6.0000e-03 eta: 2 days, 9:10:06 time: 0.4390 data_time: 0.0149 memory: 17087 grad_norm: 5.4936 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3307 loss: 2.3307 2022/08/03 10:18:03 - mmengine - INFO - Epoch(train) [6][100/1879] lr: 6.0000e-03 eta: 2 days, 9:09:47 time: 0.4267 data_time: 0.0184 memory: 17087 grad_norm: 5.6676 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4996 loss: 2.4996 2022/08/03 10:18:12 - mmengine - INFO - Epoch(train) [6][120/1879] lr: 6.0000e-03 eta: 2 days, 9:09:39 time: 0.4367 data_time: 0.0149 memory: 17087 grad_norm: 5.5047 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3126 loss: 2.3126 2022/08/03 10:18:20 - mmengine - INFO - Epoch(train) [6][140/1879] lr: 6.0000e-03 eta: 2 days, 9:09:21 time: 0.4268 data_time: 0.0181 memory: 17087 grad_norm: 5.5325 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.5203 loss: 2.5203 2022/08/03 10:18:29 - mmengine - INFO - Epoch(train) [6][160/1879] lr: 6.0000e-03 eta: 2 days, 9:08:59 time: 0.4231 data_time: 0.0165 memory: 17087 grad_norm: 5.5746 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.5419 loss: 2.5419 2022/08/03 10:18:37 - mmengine - INFO - Epoch(train) [6][180/1879] lr: 6.0000e-03 eta: 2 days, 9:08:38 time: 0.4241 data_time: 0.0146 memory: 17087 grad_norm: 5.4773 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4749 loss: 2.4749 2022/08/03 10:18:46 - mmengine - INFO - Epoch(train) [6][200/1879] lr: 6.0000e-03 eta: 2 days, 9:08:19 time: 0.4257 data_time: 0.0165 memory: 17087 grad_norm: 5.5398 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4481 loss: 2.4481 2022/08/03 10:18:54 - mmengine - INFO - Epoch(train) [6][220/1879] lr: 6.0000e-03 eta: 2 days, 9:08:02 time: 0.4287 data_time: 0.0167 memory: 17087 grad_norm: 5.5376 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4861 loss: 2.4861 2022/08/03 10:19:03 - mmengine - INFO - Epoch(train) [6][240/1879] lr: 6.0000e-03 eta: 2 days, 9:07:45 time: 0.4275 data_time: 0.0199 memory: 17087 grad_norm: 5.6235 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4884 loss: 2.4884 2022/08/03 10:19:12 - mmengine - INFO - Epoch(train) [6][260/1879] lr: 6.0000e-03 eta: 2 days, 9:07:41 time: 0.4411 data_time: 0.0154 memory: 17087 grad_norm: 5.5279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4284 loss: 2.4284 2022/08/03 10:19:20 - mmengine - INFO - Epoch(train) [6][280/1879] lr: 6.0000e-03 eta: 2 days, 9:07:20 time: 0.4233 data_time: 0.0168 memory: 17087 grad_norm: 5.5314 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.5018 loss: 2.5018 2022/08/03 10:19:29 - mmengine - INFO - Epoch(train) [6][300/1879] lr: 6.0000e-03 eta: 2 days, 9:07:01 time: 0.4260 data_time: 0.0186 memory: 17087 grad_norm: 5.5174 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.6012 loss: 2.6012 2022/08/03 10:19:37 - mmengine - INFO - Epoch(train) [6][320/1879] lr: 6.0000e-03 eta: 2 days, 9:06:45 time: 0.4292 data_time: 0.0189 memory: 17087 grad_norm: 5.6196 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3602 loss: 2.3602 2022/08/03 10:19:46 - mmengine - INFO - Epoch(train) [6][340/1879] lr: 6.0000e-03 eta: 2 days, 9:06:24 time: 0.4235 data_time: 0.0148 memory: 17087 grad_norm: 5.5318 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3555 loss: 2.3555 2022/08/03 10:19:55 - mmengine - INFO - Epoch(train) [6][360/1879] lr: 6.0000e-03 eta: 2 days, 9:06:19 time: 0.4399 data_time: 0.0155 memory: 17087 grad_norm: 5.4892 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4784 loss: 2.4784 2022/08/03 10:20:03 - mmengine - INFO - Epoch(train) [6][380/1879] lr: 6.0000e-03 eta: 2 days, 9:05:55 time: 0.4198 data_time: 0.0136 memory: 17087 grad_norm: 5.5535 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4538 loss: 2.4538 2022/08/03 10:20:12 - mmengine - INFO - Epoch(train) [6][400/1879] lr: 6.0000e-03 eta: 2 days, 9:05:53 time: 0.4436 data_time: 0.0149 memory: 17087 grad_norm: 5.4897 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4732 loss: 2.4732 2022/08/03 10:20:20 - mmengine - INFO - Epoch(train) [6][420/1879] lr: 6.0000e-03 eta: 2 days, 9:05:34 time: 0.4257 data_time: 0.0134 memory: 17087 grad_norm: 5.5874 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5995 loss: 2.5995 2022/08/03 10:20:29 - mmengine - INFO - Epoch(train) [6][440/1879] lr: 6.0000e-03 eta: 2 days, 9:05:14 time: 0.4244 data_time: 0.0146 memory: 17087 grad_norm: 5.5548 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.7349 loss: 2.7349 2022/08/03 10:20:37 - mmengine - INFO - Epoch(train) [6][460/1879] lr: 6.0000e-03 eta: 2 days, 9:04:57 time: 0.4273 data_time: 0.0146 memory: 17087 grad_norm: 5.5742 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4380 loss: 2.4380 2022/08/03 10:20:46 - mmengine - INFO - Epoch(train) [6][480/1879] lr: 6.0000e-03 eta: 2 days, 9:04:38 time: 0.4256 data_time: 0.0169 memory: 17087 grad_norm: 5.5799 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3755 loss: 2.3755 2022/08/03 10:20:54 - mmengine - INFO - Epoch(train) [6][500/1879] lr: 6.0000e-03 eta: 2 days, 9:04:20 time: 0.4257 data_time: 0.0153 memory: 17087 grad_norm: 5.5655 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.5343 loss: 2.5343 2022/08/03 10:21:03 - mmengine - INFO - Epoch(train) [6][520/1879] lr: 6.0000e-03 eta: 2 days, 9:04:00 time: 0.4242 data_time: 0.0159 memory: 17087 grad_norm: 5.5682 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4422 loss: 2.4422 2022/08/03 10:21:12 - mmengine - INFO - Epoch(train) [6][540/1879] lr: 6.0000e-03 eta: 2 days, 9:03:53 time: 0.4388 data_time: 0.0137 memory: 17087 grad_norm: 5.5764 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.6110 loss: 2.6110 2022/08/03 10:21:20 - mmengine - INFO - Epoch(train) [6][560/1879] lr: 6.0000e-03 eta: 2 days, 9:03:34 time: 0.4250 data_time: 0.0154 memory: 17087 grad_norm: 5.6035 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3775 loss: 2.3775 2022/08/03 10:21:29 - mmengine - INFO - Epoch(train) [6][580/1879] lr: 6.0000e-03 eta: 2 days, 9:03:12 time: 0.4220 data_time: 0.0145 memory: 17087 grad_norm: 5.6228 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5138 loss: 2.5138 2022/08/03 10:21:37 - mmengine - INFO - Epoch(train) [6][600/1879] lr: 6.0000e-03 eta: 2 days, 9:02:56 time: 0.4275 data_time: 0.0177 memory: 17087 grad_norm: 5.4782 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.4557 loss: 2.4557 2022/08/03 10:21:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:21:46 - mmengine - INFO - Epoch(train) [6][620/1879] lr: 6.0000e-03 eta: 2 days, 9:02:34 time: 0.4228 data_time: 0.0150 memory: 17087 grad_norm: 5.5954 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1434 loss: 2.1434 2022/08/03 10:21:54 - mmengine - INFO - Epoch(train) [6][640/1879] lr: 6.0000e-03 eta: 2 days, 9:02:26 time: 0.4366 data_time: 0.0152 memory: 17087 grad_norm: 5.5365 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0905 loss: 2.0905 2022/08/03 10:22:03 - mmengine - INFO - Epoch(train) [6][660/1879] lr: 6.0000e-03 eta: 2 days, 9:02:06 time: 0.4232 data_time: 0.0138 memory: 17087 grad_norm: 5.4925 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5813 loss: 2.5813 2022/08/03 10:22:11 - mmengine - INFO - Epoch(train) [6][680/1879] lr: 6.0000e-03 eta: 2 days, 9:01:45 time: 0.4236 data_time: 0.0166 memory: 17087 grad_norm: 5.5400 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3615 loss: 2.3615 2022/08/03 10:22:20 - mmengine - INFO - Epoch(train) [6][700/1879] lr: 6.0000e-03 eta: 2 days, 9:01:25 time: 0.4231 data_time: 0.0134 memory: 17087 grad_norm: 5.4891 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5106 loss: 2.5106 2022/08/03 10:22:28 - mmengine - INFO - Epoch(train) [6][720/1879] lr: 6.0000e-03 eta: 2 days, 9:01:04 time: 0.4237 data_time: 0.0156 memory: 17087 grad_norm: 5.6213 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9540 loss: 1.9540 2022/08/03 10:22:37 - mmengine - INFO - Epoch(train) [6][740/1879] lr: 6.0000e-03 eta: 2 days, 9:00:58 time: 0.4386 data_time: 0.0151 memory: 17087 grad_norm: 5.6614 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6434 loss: 2.6434 2022/08/03 10:22:46 - mmengine - INFO - Epoch(train) [6][760/1879] lr: 6.0000e-03 eta: 2 days, 9:00:42 time: 0.4280 data_time: 0.0186 memory: 17087 grad_norm: 5.5989 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4760 loss: 2.4760 2022/08/03 10:22:54 - mmengine - INFO - Epoch(train) [6][780/1879] lr: 6.0000e-03 eta: 2 days, 9:00:35 time: 0.4372 data_time: 0.0151 memory: 17087 grad_norm: 5.5942 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3453 loss: 2.3453 2022/08/03 10:23:03 - mmengine - INFO - Epoch(train) [6][800/1879] lr: 6.0000e-03 eta: 2 days, 9:00:14 time: 0.4232 data_time: 0.0148 memory: 17087 grad_norm: 5.5106 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.4491 loss: 2.4491 2022/08/03 10:23:11 - mmengine - INFO - Epoch(train) [6][820/1879] lr: 6.0000e-03 eta: 2 days, 9:00:00 time: 0.4301 data_time: 0.0162 memory: 17087 grad_norm: 5.6390 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.6610 loss: 2.6610 2022/08/03 10:23:20 - mmengine - INFO - Epoch(train) [6][840/1879] lr: 6.0000e-03 eta: 2 days, 8:59:40 time: 0.4233 data_time: 0.0155 memory: 17087 grad_norm: 5.5496 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5063 loss: 2.5063 2022/08/03 10:23:28 - mmengine - INFO - Epoch(train) [6][860/1879] lr: 6.0000e-03 eta: 2 days, 8:59:19 time: 0.4225 data_time: 0.0140 memory: 17087 grad_norm: 5.6035 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3405 loss: 2.3405 2022/08/03 10:23:37 - mmengine - INFO - Epoch(train) [6][880/1879] lr: 6.0000e-03 eta: 2 days, 8:59:06 time: 0.4307 data_time: 0.0151 memory: 17087 grad_norm: 5.5149 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4353 loss: 2.4353 2022/08/03 10:23:45 - mmengine - INFO - Epoch(train) [6][900/1879] lr: 6.0000e-03 eta: 2 days, 8:58:47 time: 0.4245 data_time: 0.0143 memory: 17087 grad_norm: 5.6747 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4212 loss: 2.4212 2022/08/03 10:23:54 - mmengine - INFO - Epoch(train) [6][920/1879] lr: 6.0000e-03 eta: 2 days, 8:58:36 time: 0.4335 data_time: 0.0161 memory: 17087 grad_norm: 5.5616 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.6204 loss: 2.6204 2022/08/03 10:24:03 - mmengine - INFO - Epoch(train) [6][940/1879] lr: 6.0000e-03 eta: 2 days, 8:58:16 time: 0.4232 data_time: 0.0143 memory: 17087 grad_norm: 5.4677 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5116 loss: 2.5116 2022/08/03 10:24:11 - mmengine - INFO - Epoch(train) [6][960/1879] lr: 6.0000e-03 eta: 2 days, 8:58:11 time: 0.4404 data_time: 0.0150 memory: 17087 grad_norm: 5.5742 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.7017 loss: 2.7017 2022/08/03 10:24:20 - mmengine - INFO - Epoch(train) [6][980/1879] lr: 6.0000e-03 eta: 2 days, 8:57:50 time: 0.4217 data_time: 0.0135 memory: 17087 grad_norm: 5.4602 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4501 loss: 2.4501 2022/08/03 10:24:28 - mmengine - INFO - Epoch(train) [6][1000/1879] lr: 6.0000e-03 eta: 2 days, 8:57:35 time: 0.4293 data_time: 0.0142 memory: 17087 grad_norm: 5.6711 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.5656 loss: 2.5656 2022/08/03 10:24:37 - mmengine - INFO - Epoch(train) [6][1020/1879] lr: 6.0000e-03 eta: 2 days, 8:57:19 time: 0.4278 data_time: 0.0143 memory: 17087 grad_norm: 5.6689 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4293 loss: 2.4293 2022/08/03 10:24:45 - mmengine - INFO - Epoch(train) [6][1040/1879] lr: 6.0000e-03 eta: 2 days, 8:57:01 time: 0.4247 data_time: 0.0156 memory: 17087 grad_norm: 5.4114 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.4066 loss: 2.4066 2022/08/03 10:24:54 - mmengine - INFO - Epoch(train) [6][1060/1879] lr: 6.0000e-03 eta: 2 days, 8:56:49 time: 0.4327 data_time: 0.0152 memory: 17087 grad_norm: 5.4516 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5224 loss: 2.5224 2022/08/03 10:25:03 - mmengine - INFO - Epoch(train) [6][1080/1879] lr: 6.0000e-03 eta: 2 days, 8:56:34 time: 0.4279 data_time: 0.0196 memory: 17087 grad_norm: 5.5513 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5937 loss: 2.5937 2022/08/03 10:25:11 - mmengine - INFO - Epoch(train) [6][1100/1879] lr: 6.0000e-03 eta: 2 days, 8:56:27 time: 0.4380 data_time: 0.0164 memory: 17087 grad_norm: 5.3885 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4467 loss: 2.4467 2022/08/03 10:25:20 - mmengine - INFO - Epoch(train) [6][1120/1879] lr: 6.0000e-03 eta: 2 days, 8:56:08 time: 0.4247 data_time: 0.0148 memory: 17087 grad_norm: 5.4741 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.5202 loss: 2.5202 2022/08/03 10:25:28 - mmengine - INFO - Epoch(train) [6][1140/1879] lr: 6.0000e-03 eta: 2 days, 8:55:52 time: 0.4275 data_time: 0.0195 memory: 17087 grad_norm: 5.5366 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.4074 loss: 2.4074 2022/08/03 10:25:37 - mmengine - INFO - Epoch(train) [6][1160/1879] lr: 6.0000e-03 eta: 2 days, 8:55:36 time: 0.4269 data_time: 0.0167 memory: 17087 grad_norm: 5.5303 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.6494 loss: 2.6494 2022/08/03 10:25:45 - mmengine - INFO - Epoch(train) [6][1180/1879] lr: 6.0000e-03 eta: 2 days, 8:55:19 time: 0.4260 data_time: 0.0191 memory: 17087 grad_norm: 5.3313 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.5337 loss: 2.5337 2022/08/03 10:25:54 - mmengine - INFO - Epoch(train) [6][1200/1879] lr: 6.0000e-03 eta: 2 days, 8:55:02 time: 0.4264 data_time: 0.0158 memory: 17087 grad_norm: 5.4362 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3805 loss: 2.3805 2022/08/03 10:26:03 - mmengine - INFO - Epoch(train) [6][1220/1879] lr: 6.0000e-03 eta: 2 days, 8:54:43 time: 0.4242 data_time: 0.0180 memory: 17087 grad_norm: 5.5072 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.4113 loss: 2.4113 2022/08/03 10:26:11 - mmengine - INFO - Epoch(train) [6][1240/1879] lr: 6.0000e-03 eta: 2 days, 8:54:28 time: 0.4283 data_time: 0.0168 memory: 17087 grad_norm: 5.5391 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5141 loss: 2.5141 2022/08/03 10:26:19 - mmengine - INFO - Epoch(train) [6][1260/1879] lr: 6.0000e-03 eta: 2 days, 8:54:06 time: 0.4209 data_time: 0.0125 memory: 17087 grad_norm: 5.4326 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5872 loss: 2.5872 2022/08/03 10:26:28 - mmengine - INFO - Epoch(train) [6][1280/1879] lr: 6.0000e-03 eta: 2 days, 8:53:48 time: 0.4249 data_time: 0.0154 memory: 17087 grad_norm: 5.6652 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.5379 loss: 2.5379 2022/08/03 10:26:37 - mmengine - INFO - Epoch(train) [6][1300/1879] lr: 6.0000e-03 eta: 2 days, 8:53:33 time: 0.4280 data_time: 0.0149 memory: 17087 grad_norm: 5.4699 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5054 loss: 2.5054 2022/08/03 10:26:45 - mmengine - INFO - Epoch(train) [6][1320/1879] lr: 6.0000e-03 eta: 2 days, 8:53:18 time: 0.4288 data_time: 0.0163 memory: 17087 grad_norm: 5.4463 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4329 loss: 2.4329 2022/08/03 10:26:54 - mmengine - INFO - Epoch(train) [6][1340/1879] lr: 6.0000e-03 eta: 2 days, 8:53:17 time: 0.4442 data_time: 0.0140 memory: 17087 grad_norm: 5.5809 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3167 loss: 2.3167 2022/08/03 10:27:03 - mmengine - INFO - Epoch(train) [6][1360/1879] lr: 6.0000e-03 eta: 2 days, 8:53:05 time: 0.4314 data_time: 0.0202 memory: 17087 grad_norm: 5.5503 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4267 loss: 2.4267 2022/08/03 10:27:11 - mmengine - INFO - Epoch(train) [6][1380/1879] lr: 6.0000e-03 eta: 2 days, 8:52:48 time: 0.4256 data_time: 0.0153 memory: 17087 grad_norm: 5.4317 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4048 loss: 2.4048 2022/08/03 10:27:20 - mmengine - INFO - Epoch(train) [6][1400/1879] lr: 6.0000e-03 eta: 2 days, 8:52:29 time: 0.4240 data_time: 0.0150 memory: 17087 grad_norm: 5.6449 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5286 loss: 2.5286 2022/08/03 10:27:28 - mmengine - INFO - Epoch(train) [6][1420/1879] lr: 6.0000e-03 eta: 2 days, 8:52:09 time: 0.4229 data_time: 0.0142 memory: 17087 grad_norm: 5.4346 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5139 loss: 2.5139 2022/08/03 10:27:37 - mmengine - INFO - Epoch(train) [6][1440/1879] lr: 6.0000e-03 eta: 2 days, 8:51:55 time: 0.4289 data_time: 0.0166 memory: 17087 grad_norm: 5.4815 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4992 loss: 2.4992 2022/08/03 10:27:45 - mmengine - INFO - Epoch(train) [6][1460/1879] lr: 6.0000e-03 eta: 2 days, 8:51:41 time: 0.4293 data_time: 0.0139 memory: 17087 grad_norm: 5.4459 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4256 loss: 2.4256 2022/08/03 10:27:54 - mmengine - INFO - Epoch(train) [6][1480/1879] lr: 6.0000e-03 eta: 2 days, 8:51:25 time: 0.4273 data_time: 0.0161 memory: 17087 grad_norm: 5.4317 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4153 loss: 2.4153 2022/08/03 10:28:02 - mmengine - INFO - Epoch(train) [6][1500/1879] lr: 6.0000e-03 eta: 2 days, 8:51:05 time: 0.4219 data_time: 0.0138 memory: 17087 grad_norm: 5.5462 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7591 loss: 2.7591 2022/08/03 10:28:11 - mmengine - INFO - Epoch(train) [6][1520/1879] lr: 6.0000e-03 eta: 2 days, 8:50:56 time: 0.4349 data_time: 0.0151 memory: 17087 grad_norm: 5.5493 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2741 loss: 2.2741 2022/08/03 10:28:19 - mmengine - INFO - Epoch(train) [6][1540/1879] lr: 6.0000e-03 eta: 2 days, 8:50:37 time: 0.4237 data_time: 0.0168 memory: 17087 grad_norm: 5.5655 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5072 loss: 2.5072 2022/08/03 10:28:28 - mmengine - INFO - Epoch(train) [6][1560/1879] lr: 6.0000e-03 eta: 2 days, 8:50:20 time: 0.4250 data_time: 0.0151 memory: 17087 grad_norm: 5.5182 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4311 loss: 2.4311 2022/08/03 10:28:36 - mmengine - INFO - Epoch(train) [6][1580/1879] lr: 6.0000e-03 eta: 2 days, 8:50:00 time: 0.4225 data_time: 0.0137 memory: 17087 grad_norm: 5.4699 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4094 loss: 2.4094 2022/08/03 10:28:45 - mmengine - INFO - Epoch(train) [6][1600/1879] lr: 6.0000e-03 eta: 2 days, 8:49:41 time: 0.4232 data_time: 0.0166 memory: 17087 grad_norm: 5.4477 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3331 loss: 2.3331 2022/08/03 10:28:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:28:54 - mmengine - INFO - Epoch(train) [6][1620/1879] lr: 6.0000e-03 eta: 2 days, 8:49:32 time: 0.4353 data_time: 0.0150 memory: 17087 grad_norm: 5.4908 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4901 loss: 2.4901 2022/08/03 10:29:02 - mmengine - INFO - Epoch(train) [6][1640/1879] lr: 6.0000e-03 eta: 2 days, 8:49:14 time: 0.4246 data_time: 0.0162 memory: 17087 grad_norm: 5.5869 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3435 loss: 2.3435 2022/08/03 10:29:10 - mmengine - INFO - Epoch(train) [6][1660/1879] lr: 6.0000e-03 eta: 2 days, 8:48:55 time: 0.4229 data_time: 0.0140 memory: 17087 grad_norm: 5.4701 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4038 loss: 2.4038 2022/08/03 10:29:19 - mmengine - INFO - Epoch(train) [6][1680/1879] lr: 6.0000e-03 eta: 2 days, 8:48:38 time: 0.4257 data_time: 0.0181 memory: 17087 grad_norm: 5.4416 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4404 loss: 2.4404 2022/08/03 10:29:27 - mmengine - INFO - Epoch(train) [6][1700/1879] lr: 6.0000e-03 eta: 2 days, 8:48:20 time: 0.4233 data_time: 0.0135 memory: 17087 grad_norm: 5.4857 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5233 loss: 2.5233 2022/08/03 10:29:36 - mmengine - INFO - Epoch(train) [6][1720/1879] lr: 6.0000e-03 eta: 2 days, 8:48:19 time: 0.4446 data_time: 0.0145 memory: 17087 grad_norm: 5.5357 top1_acc: 0.3125 top5_acc: 0.3750 loss_cls: 2.5501 loss: 2.5501 2022/08/03 10:29:45 - mmengine - INFO - Epoch(train) [6][1740/1879] lr: 6.0000e-03 eta: 2 days, 8:48:00 time: 0.4230 data_time: 0.0150 memory: 17087 grad_norm: 5.4328 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4210 loss: 2.4210 2022/08/03 10:29:53 - mmengine - INFO - Epoch(train) [6][1760/1879] lr: 6.0000e-03 eta: 2 days, 8:47:45 time: 0.4278 data_time: 0.0170 memory: 17087 grad_norm: 5.4343 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.5502 loss: 2.5502 2022/08/03 10:30:02 - mmengine - INFO - Epoch(train) [6][1780/1879] lr: 6.0000e-03 eta: 2 days, 8:47:26 time: 0.4233 data_time: 0.0147 memory: 17087 grad_norm: 5.4426 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3677 loss: 2.3677 2022/08/03 10:30:10 - mmengine - INFO - Epoch(train) [6][1800/1879] lr: 6.0000e-03 eta: 2 days, 8:47:07 time: 0.4225 data_time: 0.0142 memory: 17087 grad_norm: 5.4414 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4702 loss: 2.4702 2022/08/03 10:30:19 - mmengine - INFO - Epoch(train) [6][1820/1879] lr: 6.0000e-03 eta: 2 days, 8:47:07 time: 0.4450 data_time: 0.0142 memory: 17087 grad_norm: 5.6119 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3366 loss: 2.3366 2022/08/03 10:30:28 - mmengine - INFO - Epoch(train) [6][1840/1879] lr: 6.0000e-03 eta: 2 days, 8:46:54 time: 0.4311 data_time: 0.0218 memory: 17087 grad_norm: 5.5601 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.5941 loss: 2.5941 2022/08/03 10:30:36 - mmengine - INFO - Epoch(train) [6][1860/1879] lr: 6.0000e-03 eta: 2 days, 8:46:40 time: 0.4282 data_time: 0.0149 memory: 17087 grad_norm: 5.5418 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.7353 loss: 2.7353 2022/08/03 10:30:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:30:44 - mmengine - INFO - Epoch(train) [6][1879/1879] lr: 6.0000e-03 eta: 2 days, 8:46:40 time: 0.4043 data_time: 0.0150 memory: 17087 grad_norm: 5.6238 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.4406 loss: 2.4406 2022/08/03 10:30:55 - mmengine - INFO - Epoch(train) [7][20/1879] lr: 7.0000e-03 eta: 2 days, 8:42:08 time: 0.5413 data_time: 0.1155 memory: 17087 grad_norm: 5.4194 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.3855 loss: 2.3855 2022/08/03 10:31:04 - mmengine - INFO - Epoch(train) [7][40/1879] lr: 7.0000e-03 eta: 2 days, 8:42:04 time: 0.4404 data_time: 0.0200 memory: 17087 grad_norm: 5.4485 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3679 loss: 2.3679 2022/08/03 10:31:12 - mmengine - INFO - Epoch(train) [7][60/1879] lr: 7.0000e-03 eta: 2 days, 8:41:46 time: 0.4239 data_time: 0.0142 memory: 17087 grad_norm: 5.5429 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5769 loss: 2.5769 2022/08/03 10:31:21 - mmengine - INFO - Epoch(train) [7][80/1879] lr: 7.0000e-03 eta: 2 days, 8:41:28 time: 0.4233 data_time: 0.0157 memory: 17087 grad_norm: 5.4529 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.4779 loss: 2.4779 2022/08/03 10:31:29 - mmengine - INFO - Epoch(train) [7][100/1879] lr: 7.0000e-03 eta: 2 days, 8:41:15 time: 0.4287 data_time: 0.0165 memory: 17087 grad_norm: 5.5144 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 2.2591 loss: 2.2591 2022/08/03 10:31:38 - mmengine - INFO - Epoch(train) [7][120/1879] lr: 7.0000e-03 eta: 2 days, 8:40:58 time: 0.4250 data_time: 0.0147 memory: 17087 grad_norm: 5.3990 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4788 loss: 2.4788 2022/08/03 10:31:46 - mmengine - INFO - Epoch(train) [7][140/1879] lr: 7.0000e-03 eta: 2 days, 8:40:41 time: 0.4240 data_time: 0.0147 memory: 17087 grad_norm: 5.4273 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3128 loss: 2.3128 2022/08/03 10:31:55 - mmengine - INFO - Epoch(train) [7][160/1879] lr: 7.0000e-03 eta: 2 days, 8:40:27 time: 0.4288 data_time: 0.0146 memory: 17087 grad_norm: 5.5174 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3645 loss: 2.3645 2022/08/03 10:32:03 - mmengine - INFO - Epoch(train) [7][180/1879] lr: 7.0000e-03 eta: 2 days, 8:40:10 time: 0.4243 data_time: 0.0147 memory: 17087 grad_norm: 5.4894 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.2829 loss: 2.2829 2022/08/03 10:32:12 - mmengine - INFO - Epoch(train) [7][200/1879] lr: 7.0000e-03 eta: 2 days, 8:39:54 time: 0.4250 data_time: 0.0164 memory: 17087 grad_norm: 5.3042 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.5373 loss: 2.5373 2022/08/03 10:32:20 - mmengine - INFO - Epoch(train) [7][220/1879] lr: 7.0000e-03 eta: 2 days, 8:39:38 time: 0.4256 data_time: 0.0143 memory: 17087 grad_norm: 5.3333 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.5429 loss: 2.5429 2022/08/03 10:32:29 - mmengine - INFO - Epoch(train) [7][240/1879] lr: 7.0000e-03 eta: 2 days, 8:39:21 time: 0.4236 data_time: 0.0161 memory: 17087 grad_norm: 5.3268 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3501 loss: 2.3501 2022/08/03 10:32:37 - mmengine - INFO - Epoch(train) [7][260/1879] lr: 7.0000e-03 eta: 2 days, 8:39:08 time: 0.4298 data_time: 0.0174 memory: 17087 grad_norm: 5.6000 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.5447 loss: 2.5447 2022/08/03 10:32:46 - mmengine - INFO - Epoch(train) [7][280/1879] lr: 7.0000e-03 eta: 2 days, 8:38:51 time: 0.4238 data_time: 0.0147 memory: 17087 grad_norm: 5.3138 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.3283 loss: 2.3283 2022/08/03 10:32:55 - mmengine - INFO - Epoch(train) [7][300/1879] lr: 7.0000e-03 eta: 2 days, 8:38:41 time: 0.4335 data_time: 0.0171 memory: 17087 grad_norm: 5.4982 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.4856 loss: 2.4856 2022/08/03 10:33:03 - mmengine - INFO - Epoch(train) [7][320/1879] lr: 7.0000e-03 eta: 2 days, 8:38:24 time: 0.4234 data_time: 0.0149 memory: 17087 grad_norm: 5.3368 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4160 loss: 2.4160 2022/08/03 10:33:12 - mmengine - INFO - Epoch(train) [7][340/1879] lr: 7.0000e-03 eta: 2 days, 8:38:10 time: 0.4273 data_time: 0.0152 memory: 17087 grad_norm: 5.4246 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.4309 loss: 2.4309 2022/08/03 10:33:20 - mmengine - INFO - Epoch(train) [7][360/1879] lr: 7.0000e-03 eta: 2 days, 8:37:51 time: 0.4218 data_time: 0.0174 memory: 17087 grad_norm: 5.3764 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4268 loss: 2.4268 2022/08/03 10:33:28 - mmengine - INFO - Epoch(train) [7][380/1879] lr: 7.0000e-03 eta: 2 days, 8:37:33 time: 0.4228 data_time: 0.0160 memory: 17087 grad_norm: 5.5653 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.6621 loss: 2.6621 2022/08/03 10:33:37 - mmengine - INFO - Epoch(train) [7][400/1879] lr: 7.0000e-03 eta: 2 days, 8:37:29 time: 0.4401 data_time: 0.0148 memory: 17087 grad_norm: 5.5240 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.4240 loss: 2.4240 2022/08/03 10:33:46 - mmengine - INFO - Epoch(train) [7][420/1879] lr: 7.0000e-03 eta: 2 days, 8:37:13 time: 0.4260 data_time: 0.0153 memory: 17087 grad_norm: 5.4706 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.6020 loss: 2.6020 2022/08/03 10:33:55 - mmengine - INFO - Epoch(train) [7][440/1879] lr: 7.0000e-03 eta: 2 days, 8:37:14 time: 0.4464 data_time: 0.0165 memory: 17087 grad_norm: 5.4081 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4861 loss: 2.4861 2022/08/03 10:34:03 - mmengine - INFO - Epoch(train) [7][460/1879] lr: 7.0000e-03 eta: 2 days, 8:36:57 time: 0.4232 data_time: 0.0170 memory: 17087 grad_norm: 5.4060 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5295 loss: 2.5295 2022/08/03 10:34:12 - mmengine - INFO - Epoch(train) [7][480/1879] lr: 7.0000e-03 eta: 2 days, 8:36:55 time: 0.4426 data_time: 0.0213 memory: 17087 grad_norm: 5.3649 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3707 loss: 2.3707 2022/08/03 10:34:20 - mmengine - INFO - Epoch(train) [7][500/1879] lr: 7.0000e-03 eta: 2 days, 8:36:36 time: 0.4222 data_time: 0.0135 memory: 17087 grad_norm: 5.4867 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.3860 loss: 2.3860 2022/08/03 10:34:29 - mmengine - INFO - Epoch(train) [7][520/1879] lr: 7.0000e-03 eta: 2 days, 8:36:19 time: 0.4235 data_time: 0.0143 memory: 17087 grad_norm: 5.3687 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6228 loss: 2.6228 2022/08/03 10:34:38 - mmengine - INFO - Epoch(train) [7][540/1879] lr: 7.0000e-03 eta: 2 days, 8:36:12 time: 0.4360 data_time: 0.0154 memory: 17087 grad_norm: 5.2720 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 2.4807 loss: 2.4807 2022/08/03 10:34:46 - mmengine - INFO - Epoch(train) [7][560/1879] lr: 7.0000e-03 eta: 2 days, 8:35:55 time: 0.4237 data_time: 0.0155 memory: 17087 grad_norm: 5.4347 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3049 loss: 2.3049 2022/08/03 10:34:55 - mmengine - INFO - Epoch(train) [7][580/1879] lr: 7.0000e-03 eta: 2 days, 8:35:38 time: 0.4242 data_time: 0.0150 memory: 17087 grad_norm: 5.3138 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2287 loss: 2.2287 2022/08/03 10:35:03 - mmengine - INFO - Epoch(train) [7][600/1879] lr: 7.0000e-03 eta: 2 days, 8:35:19 time: 0.4208 data_time: 0.0144 memory: 17087 grad_norm: 5.3686 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4872 loss: 2.4872 2022/08/03 10:35:12 - mmengine - INFO - Epoch(train) [7][620/1879] lr: 7.0000e-03 eta: 2 days, 8:35:04 time: 0.4262 data_time: 0.0144 memory: 17087 grad_norm: 5.4027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1981 loss: 2.1981 2022/08/03 10:35:20 - mmengine - INFO - Epoch(train) [7][640/1879] lr: 7.0000e-03 eta: 2 days, 8:34:47 time: 0.4240 data_time: 0.0146 memory: 17087 grad_norm: 5.4610 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4885 loss: 2.4885 2022/08/03 10:35:28 - mmengine - INFO - Epoch(train) [7][660/1879] lr: 7.0000e-03 eta: 2 days, 8:34:28 time: 0.4214 data_time: 0.0138 memory: 17087 grad_norm: 5.4615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.5396 loss: 2.5396 2022/08/03 10:35:37 - mmengine - INFO - Epoch(train) [7][680/1879] lr: 7.0000e-03 eta: 2 days, 8:34:23 time: 0.4391 data_time: 0.0153 memory: 17087 grad_norm: 5.3073 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3669 loss: 2.3669 2022/08/03 10:35:46 - mmengine - INFO - Epoch(train) [7][700/1879] lr: 7.0000e-03 eta: 2 days, 8:34:06 time: 0.4230 data_time: 0.0142 memory: 17087 grad_norm: 5.4764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.4196 loss: 2.4196 2022/08/03 10:35:55 - mmengine - INFO - Epoch(train) [7][720/1879] lr: 7.0000e-03 eta: 2 days, 8:34:13 time: 0.4545 data_time: 0.0150 memory: 17087 grad_norm: 5.4956 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.2768 loss: 2.2768 2022/08/03 10:35:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:36:03 - mmengine - INFO - Epoch(train) [7][740/1879] lr: 7.0000e-03 eta: 2 days, 8:34:00 time: 0.4283 data_time: 0.0198 memory: 17087 grad_norm: 5.5263 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1342 loss: 2.1342 2022/08/03 10:36:12 - mmengine - INFO - Epoch(train) [7][760/1879] lr: 7.0000e-03 eta: 2 days, 8:33:43 time: 0.4233 data_time: 0.0159 memory: 17087 grad_norm: 5.4343 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4089 loss: 2.4089 2022/08/03 10:36:20 - mmengine - INFO - Epoch(train) [7][780/1879] lr: 7.0000e-03 eta: 2 days, 8:33:26 time: 0.4234 data_time: 0.0143 memory: 17087 grad_norm: 5.4428 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3796 loss: 2.3796 2022/08/03 10:36:29 - mmengine - INFO - Epoch(train) [7][800/1879] lr: 7.0000e-03 eta: 2 days, 8:33:10 time: 0.4246 data_time: 0.0156 memory: 17087 grad_norm: 5.4921 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4133 loss: 2.4133 2022/08/03 10:36:38 - mmengine - INFO - Epoch(train) [7][820/1879] lr: 7.0000e-03 eta: 2 days, 8:33:07 time: 0.4423 data_time: 0.0138 memory: 17087 grad_norm: 5.4658 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2521 loss: 2.2521 2022/08/03 10:36:46 - mmengine - INFO - Epoch(train) [7][840/1879] lr: 7.0000e-03 eta: 2 days, 8:32:54 time: 0.4284 data_time: 0.0160 memory: 17087 grad_norm: 5.2878 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4283 loss: 2.4283 2022/08/03 10:36:55 - mmengine - INFO - Epoch(train) [7][860/1879] lr: 7.0000e-03 eta: 2 days, 8:32:39 time: 0.4262 data_time: 0.0120 memory: 17087 grad_norm: 5.3356 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.6422 loss: 2.6422 2022/08/03 10:37:03 - mmengine - INFO - Epoch(train) [7][880/1879] lr: 7.0000e-03 eta: 2 days, 8:32:24 time: 0.4255 data_time: 0.0157 memory: 17087 grad_norm: 5.3412 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.4325 loss: 2.4325 2022/08/03 10:37:12 - mmengine - INFO - Epoch(train) [7][900/1879] lr: 7.0000e-03 eta: 2 days, 8:32:07 time: 0.4236 data_time: 0.0141 memory: 17087 grad_norm: 5.3171 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3878 loss: 2.3878 2022/08/03 10:37:20 - mmengine - INFO - Epoch(train) [7][920/1879] lr: 7.0000e-03 eta: 2 days, 8:31:52 time: 0.4255 data_time: 0.0181 memory: 17087 grad_norm: 5.2950 top1_acc: 0.2500 top5_acc: 0.3750 loss_cls: 2.4238 loss: 2.4238 2022/08/03 10:37:29 - mmengine - INFO - Epoch(train) [7][940/1879] lr: 7.0000e-03 eta: 2 days, 8:31:34 time: 0.4225 data_time: 0.0142 memory: 17087 grad_norm: 5.3907 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.5443 loss: 2.5443 2022/08/03 10:37:37 - mmengine - INFO - Epoch(train) [7][960/1879] lr: 7.0000e-03 eta: 2 days, 8:31:19 time: 0.4260 data_time: 0.0165 memory: 17087 grad_norm: 5.1887 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.4528 loss: 2.4528 2022/08/03 10:37:46 - mmengine - INFO - Epoch(train) [7][980/1879] lr: 7.0000e-03 eta: 2 days, 8:31:14 time: 0.4384 data_time: 0.0150 memory: 17087 grad_norm: 5.3196 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4652 loss: 2.4652 2022/08/03 10:37:55 - mmengine - INFO - Epoch(train) [7][1000/1879] lr: 7.0000e-03 eta: 2 days, 8:31:00 time: 0.4266 data_time: 0.0160 memory: 17087 grad_norm: 5.4230 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4406 loss: 2.4406 2022/08/03 10:38:03 - mmengine - INFO - Epoch(train) [7][1020/1879] lr: 7.0000e-03 eta: 2 days, 8:30:45 time: 0.4258 data_time: 0.0157 memory: 17087 grad_norm: 5.4047 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2429 loss: 2.2429 2022/08/03 10:38:12 - mmengine - INFO - Epoch(train) [7][1040/1879] lr: 7.0000e-03 eta: 2 days, 8:30:29 time: 0.4248 data_time: 0.0145 memory: 17087 grad_norm: 5.4036 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4366 loss: 2.4366 2022/08/03 10:38:20 - mmengine - INFO - Epoch(train) [7][1060/1879] lr: 7.0000e-03 eta: 2 days, 8:30:23 time: 0.4378 data_time: 0.0126 memory: 17087 grad_norm: 5.4693 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3913 loss: 2.3913 2022/08/03 10:38:29 - mmengine - INFO - Epoch(train) [7][1080/1879] lr: 7.0000e-03 eta: 2 days, 8:30:09 time: 0.4273 data_time: 0.0182 memory: 17087 grad_norm: 5.4002 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4392 loss: 2.4392 2022/08/03 10:38:37 - mmengine - INFO - Epoch(train) [7][1100/1879] lr: 7.0000e-03 eta: 2 days, 8:29:56 time: 0.4276 data_time: 0.0151 memory: 17087 grad_norm: 5.4443 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.4148 loss: 2.4148 2022/08/03 10:38:46 - mmengine - INFO - Epoch(train) [7][1120/1879] lr: 7.0000e-03 eta: 2 days, 8:29:40 time: 0.4241 data_time: 0.0150 memory: 17087 grad_norm: 5.3940 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3661 loss: 2.3661 2022/08/03 10:38:55 - mmengine - INFO - Epoch(train) [7][1140/1879] lr: 7.0000e-03 eta: 2 days, 8:29:32 time: 0.4351 data_time: 0.0142 memory: 17087 grad_norm: 5.4691 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2771 loss: 2.2771 2022/08/03 10:39:03 - mmengine - INFO - Epoch(train) [7][1160/1879] lr: 7.0000e-03 eta: 2 days, 8:29:19 time: 0.4287 data_time: 0.0194 memory: 17087 grad_norm: 5.3147 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.5781 loss: 2.5781 2022/08/03 10:39:12 - mmengine - INFO - Epoch(train) [7][1180/1879] lr: 7.0000e-03 eta: 2 days, 8:29:04 time: 0.4253 data_time: 0.0142 memory: 17087 grad_norm: 5.3547 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2801 loss: 2.2801 2022/08/03 10:39:20 - mmengine - INFO - Epoch(train) [7][1200/1879] lr: 7.0000e-03 eta: 2 days, 8:28:57 time: 0.4354 data_time: 0.0155 memory: 17087 grad_norm: 5.3090 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3005 loss: 2.3005 2022/08/03 10:39:29 - mmengine - INFO - Epoch(train) [7][1220/1879] lr: 7.0000e-03 eta: 2 days, 8:28:44 time: 0.4288 data_time: 0.0157 memory: 17087 grad_norm: 5.3146 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1957 loss: 2.1957 2022/08/03 10:39:37 - mmengine - INFO - Epoch(train) [7][1240/1879] lr: 7.0000e-03 eta: 2 days, 8:28:29 time: 0.4260 data_time: 0.0151 memory: 17087 grad_norm: 5.3208 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2784 loss: 2.2784 2022/08/03 10:39:46 - mmengine - INFO - Epoch(train) [7][1260/1879] lr: 7.0000e-03 eta: 2 days, 8:28:12 time: 0.4222 data_time: 0.0150 memory: 17087 grad_norm: 5.3153 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.6930 loss: 2.6930 2022/08/03 10:39:55 - mmengine - INFO - Epoch(train) [7][1280/1879] lr: 7.0000e-03 eta: 2 days, 8:28:03 time: 0.4341 data_time: 0.0154 memory: 17087 grad_norm: 5.5282 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 2.5312 loss: 2.5312 2022/08/03 10:40:03 - mmengine - INFO - Epoch(train) [7][1300/1879] lr: 7.0000e-03 eta: 2 days, 8:27:50 time: 0.4276 data_time: 0.0195 memory: 17087 grad_norm: 5.4520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2343 loss: 2.2343 2022/08/03 10:40:12 - mmengine - INFO - Epoch(train) [7][1320/1879] lr: 7.0000e-03 eta: 2 days, 8:27:33 time: 0.4224 data_time: 0.0156 memory: 17087 grad_norm: 5.4606 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.4315 loss: 2.4315 2022/08/03 10:40:20 - mmengine - INFO - Epoch(train) [7][1340/1879] lr: 7.0000e-03 eta: 2 days, 8:27:22 time: 0.4314 data_time: 0.0143 memory: 17087 grad_norm: 5.4586 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3367 loss: 2.3367 2022/08/03 10:40:29 - mmengine - INFO - Epoch(train) [7][1360/1879] lr: 7.0000e-03 eta: 2 days, 8:27:06 time: 0.4233 data_time: 0.0150 memory: 17087 grad_norm: 5.3718 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3568 loss: 2.3568 2022/08/03 10:40:37 - mmengine - INFO - Epoch(train) [7][1380/1879] lr: 7.0000e-03 eta: 2 days, 8:27:00 time: 0.4377 data_time: 0.0145 memory: 17087 grad_norm: 5.3079 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2189 loss: 2.2189 2022/08/03 10:40:46 - mmengine - INFO - Epoch(train) [7][1400/1879] lr: 7.0000e-03 eta: 2 days, 8:26:47 time: 0.4280 data_time: 0.0199 memory: 17087 grad_norm: 5.3321 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2097 loss: 2.2097 2022/08/03 10:40:55 - mmengine - INFO - Epoch(train) [7][1420/1879] lr: 7.0000e-03 eta: 2 days, 8:26:40 time: 0.4364 data_time: 0.0141 memory: 17087 grad_norm: 5.4396 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.3463 loss: 2.3463 2022/08/03 10:41:03 - mmengine - INFO - Epoch(train) [7][1440/1879] lr: 7.0000e-03 eta: 2 days, 8:26:23 time: 0.4226 data_time: 0.0155 memory: 17087 grad_norm: 5.5028 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1590 loss: 2.1590 2022/08/03 10:41:12 - mmengine - INFO - Epoch(train) [7][1460/1879] lr: 7.0000e-03 eta: 2 days, 8:26:06 time: 0.4228 data_time: 0.0141 memory: 17087 grad_norm: 5.4184 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3265 loss: 2.3265 2022/08/03 10:41:20 - mmengine - INFO - Epoch(train) [7][1480/1879] lr: 7.0000e-03 eta: 2 days, 8:25:51 time: 0.4254 data_time: 0.0164 memory: 17087 grad_norm: 5.5396 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4818 loss: 2.4818 2022/08/03 10:41:29 - mmengine - INFO - Epoch(train) [7][1500/1879] lr: 7.0000e-03 eta: 2 days, 8:25:36 time: 0.4251 data_time: 0.0147 memory: 17087 grad_norm: 5.3591 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3823 loss: 2.3823 2022/08/03 10:41:37 - mmengine - INFO - Epoch(train) [7][1520/1879] lr: 7.0000e-03 eta: 2 days, 8:25:27 time: 0.4334 data_time: 0.0156 memory: 17087 grad_norm: 5.4531 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4534 loss: 2.4534 2022/08/03 10:41:46 - mmengine - INFO - Epoch(train) [7][1540/1879] lr: 7.0000e-03 eta: 2 days, 8:25:13 time: 0.4263 data_time: 0.0182 memory: 17087 grad_norm: 5.4424 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3767 loss: 2.3767 2022/08/03 10:41:55 - mmengine - INFO - Epoch(train) [7][1560/1879] lr: 7.0000e-03 eta: 2 days, 8:25:07 time: 0.4377 data_time: 0.0157 memory: 17087 grad_norm: 5.3514 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1821 loss: 2.1821 2022/08/03 10:42:03 - mmengine - INFO - Epoch(train) [7][1580/1879] lr: 7.0000e-03 eta: 2 days, 8:24:51 time: 0.4235 data_time: 0.0145 memory: 17087 grad_norm: 5.2877 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4713 loss: 2.4713 2022/08/03 10:42:12 - mmengine - INFO - Epoch(train) [7][1600/1879] lr: 7.0000e-03 eta: 2 days, 8:24:40 time: 0.4308 data_time: 0.0216 memory: 17087 grad_norm: 5.2811 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2467 loss: 2.2467 2022/08/03 10:42:20 - mmengine - INFO - Epoch(train) [7][1620/1879] lr: 7.0000e-03 eta: 2 days, 8:24:30 time: 0.4323 data_time: 0.0137 memory: 17087 grad_norm: 5.3608 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.4196 loss: 2.4196 2022/08/03 10:42:29 - mmengine - INFO - Epoch(train) [7][1640/1879] lr: 7.0000e-03 eta: 2 days, 8:24:17 time: 0.4276 data_time: 0.0203 memory: 17087 grad_norm: 5.4105 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4642 loss: 2.4642 2022/08/03 10:42:38 - mmengine - INFO - Epoch(train) [7][1660/1879] lr: 7.0000e-03 eta: 2 days, 8:24:14 time: 0.4415 data_time: 0.0167 memory: 17087 grad_norm: 5.4452 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3390 loss: 2.3390 2022/08/03 10:42:46 - mmengine - INFO - Epoch(train) [7][1680/1879] lr: 7.0000e-03 eta: 2 days, 8:24:01 time: 0.4273 data_time: 0.0198 memory: 17087 grad_norm: 5.4996 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 2.5540 loss: 2.5540 2022/08/03 10:42:55 - mmengine - INFO - Epoch(train) [7][1700/1879] lr: 7.0000e-03 eta: 2 days, 8:23:46 time: 0.4251 data_time: 0.0151 memory: 17087 grad_norm: 5.3047 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4463 loss: 2.4463 2022/08/03 10:43:03 - mmengine - INFO - Epoch(train) [7][1720/1879] lr: 7.0000e-03 eta: 2 days, 8:23:33 time: 0.4289 data_time: 0.0156 memory: 17087 grad_norm: 5.3335 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.4184 loss: 2.4184 2022/08/03 10:43:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:43:12 - mmengine - INFO - Epoch(train) [7][1740/1879] lr: 7.0000e-03 eta: 2 days, 8:23:16 time: 0.4215 data_time: 0.0148 memory: 17087 grad_norm: 5.3119 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3746 loss: 2.3746 2022/08/03 10:43:20 - mmengine - INFO - Epoch(train) [7][1760/1879] lr: 7.0000e-03 eta: 2 days, 8:23:02 time: 0.4258 data_time: 0.0152 memory: 17087 grad_norm: 5.3736 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2858 loss: 2.2858 2022/08/03 10:43:29 - mmengine - INFO - Epoch(train) [7][1780/1879] lr: 7.0000e-03 eta: 2 days, 8:22:46 time: 0.4248 data_time: 0.0148 memory: 17087 grad_norm: 5.3615 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.6513 loss: 2.6513 2022/08/03 10:43:38 - mmengine - INFO - Epoch(train) [7][1800/1879] lr: 7.0000e-03 eta: 2 days, 8:22:43 time: 0.4414 data_time: 0.0158 memory: 17087 grad_norm: 5.3577 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2928 loss: 2.2928 2022/08/03 10:43:46 - mmengine - INFO - Epoch(train) [7][1820/1879] lr: 7.0000e-03 eta: 2 days, 8:22:31 time: 0.4283 data_time: 0.0194 memory: 17087 grad_norm: 5.2555 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.3267 loss: 2.3267 2022/08/03 10:43:55 - mmengine - INFO - Epoch(train) [7][1840/1879] lr: 7.0000e-03 eta: 2 days, 8:22:15 time: 0.4240 data_time: 0.0154 memory: 17087 grad_norm: 5.4429 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.5613 loss: 2.5613 2022/08/03 10:44:03 - mmengine - INFO - Epoch(train) [7][1860/1879] lr: 7.0000e-03 eta: 2 days, 8:21:59 time: 0.4234 data_time: 0.0144 memory: 17087 grad_norm: 5.2619 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3691 loss: 2.3691 2022/08/03 10:44:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:44:11 - mmengine - INFO - Epoch(train) [7][1879/1879] lr: 7.0000e-03 eta: 2 days, 8:21:59 time: 0.4033 data_time: 0.0130 memory: 17087 grad_norm: 5.2883 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 2.3467 loss: 2.3467 2022/08/03 10:44:22 - mmengine - INFO - Epoch(train) [8][20/1879] lr: 8.0000e-03 eta: 2 days, 8:18:13 time: 0.5509 data_time: 0.1226 memory: 17087 grad_norm: 5.3059 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0427 loss: 2.0427 2022/08/03 10:44:30 - mmengine - INFO - Epoch(train) [8][40/1879] lr: 8.0000e-03 eta: 2 days, 8:18:02 time: 0.4300 data_time: 0.0201 memory: 17087 grad_norm: 5.2640 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4323 loss: 2.4323 2022/08/03 10:44:39 - mmengine - INFO - Epoch(train) [8][60/1879] lr: 8.0000e-03 eta: 2 days, 8:17:45 time: 0.4213 data_time: 0.0137 memory: 17087 grad_norm: 5.3861 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.3576 loss: 2.3576 2022/08/03 10:44:48 - mmengine - INFO - Epoch(train) [8][80/1879] lr: 8.0000e-03 eta: 2 days, 8:17:35 time: 0.4315 data_time: 0.0202 memory: 17087 grad_norm: 5.3558 top1_acc: 0.3125 top5_acc: 0.4375 loss_cls: 2.5280 loss: 2.5280 2022/08/03 10:44:56 - mmengine - INFO - Epoch(train) [8][100/1879] lr: 8.0000e-03 eta: 2 days, 8:17:26 time: 0.4328 data_time: 0.0141 memory: 17087 grad_norm: 5.3201 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2210 loss: 2.2210 2022/08/03 10:45:05 - mmengine - INFO - Epoch(train) [8][120/1879] lr: 8.0000e-03 eta: 2 days, 8:17:17 time: 0.4332 data_time: 0.0205 memory: 17087 grad_norm: 5.4929 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.6561 loss: 2.6561 2022/08/03 10:45:13 - mmengine - INFO - Epoch(train) [8][140/1879] lr: 8.0000e-03 eta: 2 days, 8:17:08 time: 0.4327 data_time: 0.0161 memory: 17087 grad_norm: 5.3893 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1157 loss: 2.1157 2022/08/03 10:45:22 - mmengine - INFO - Epoch(train) [8][160/1879] lr: 8.0000e-03 eta: 2 days, 8:16:51 time: 0.4210 data_time: 0.0136 memory: 17087 grad_norm: 5.4603 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.4455 loss: 2.4455 2022/08/03 10:45:30 - mmengine - INFO - Epoch(train) [8][180/1879] lr: 8.0000e-03 eta: 2 days, 8:16:38 time: 0.4275 data_time: 0.0139 memory: 17087 grad_norm: 5.5557 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.4329 loss: 2.4329 2022/08/03 10:45:39 - mmengine - INFO - Epoch(train) [8][200/1879] lr: 8.0000e-03 eta: 2 days, 8:16:32 time: 0.4367 data_time: 0.0137 memory: 17087 grad_norm: 5.4704 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0785 loss: 2.0785 2022/08/03 10:45:48 - mmengine - INFO - Epoch(train) [8][220/1879] lr: 8.0000e-03 eta: 2 days, 8:16:21 time: 0.4303 data_time: 0.0189 memory: 17087 grad_norm: 5.3492 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1666 loss: 2.1666 2022/08/03 10:45:56 - mmengine - INFO - Epoch(train) [8][240/1879] lr: 8.0000e-03 eta: 2 days, 8:16:06 time: 0.4239 data_time: 0.0148 memory: 17087 grad_norm: 5.3877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.6577 loss: 2.6577 2022/08/03 10:46:05 - mmengine - INFO - Epoch(train) [8][260/1879] lr: 8.0000e-03 eta: 2 days, 8:15:54 time: 0.4279 data_time: 0.0147 memory: 17087 grad_norm: 5.3193 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.3098 loss: 2.3098 2022/08/03 10:46:14 - mmengine - INFO - Epoch(train) [8][280/1879] lr: 8.0000e-03 eta: 2 days, 8:15:46 time: 0.4349 data_time: 0.0239 memory: 17087 grad_norm: 5.2345 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2407 loss: 2.2407 2022/08/03 10:46:22 - mmengine - INFO - Epoch(train) [8][300/1879] lr: 8.0000e-03 eta: 2 days, 8:15:32 time: 0.4243 data_time: 0.0145 memory: 17087 grad_norm: 5.2004 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2474 loss: 2.2474 2022/08/03 10:46:31 - mmengine - INFO - Epoch(train) [8][320/1879] lr: 8.0000e-03 eta: 2 days, 8:15:16 time: 0.4238 data_time: 0.0160 memory: 17087 grad_norm: 5.3938 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4691 loss: 2.4691 2022/08/03 10:46:39 - mmengine - INFO - Epoch(train) [8][340/1879] lr: 8.0000e-03 eta: 2 days, 8:15:05 time: 0.4297 data_time: 0.0211 memory: 17087 grad_norm: 5.3559 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2935 loss: 2.2935 2022/08/03 10:46:48 - mmengine - INFO - Epoch(train) [8][360/1879] lr: 8.0000e-03 eta: 2 days, 8:14:53 time: 0.4282 data_time: 0.0164 memory: 17087 grad_norm: 5.1896 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.2593 loss: 2.2593 2022/08/03 10:46:56 - mmengine - INFO - Epoch(train) [8][380/1879] lr: 8.0000e-03 eta: 2 days, 8:14:48 time: 0.4372 data_time: 0.0139 memory: 17087 grad_norm: 5.1945 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.6958 loss: 2.6958 2022/08/03 10:47:05 - mmengine - INFO - Epoch(train) [8][400/1879] lr: 8.0000e-03 eta: 2 days, 8:14:38 time: 0.4321 data_time: 0.0151 memory: 17087 grad_norm: 5.2490 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4077 loss: 2.4077 2022/08/03 10:47:14 - mmengine - INFO - Epoch(train) [8][420/1879] lr: 8.0000e-03 eta: 2 days, 8:14:24 time: 0.4253 data_time: 0.0152 memory: 17087 grad_norm: 5.3180 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.3509 loss: 2.3509 2022/08/03 10:47:22 - mmengine - INFO - Epoch(train) [8][440/1879] lr: 8.0000e-03 eta: 2 days, 8:14:10 time: 0.4252 data_time: 0.0142 memory: 17087 grad_norm: 5.3804 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1436 loss: 2.1436 2022/08/03 10:47:31 - mmengine - INFO - Epoch(train) [8][460/1879] lr: 8.0000e-03 eta: 2 days, 8:13:58 time: 0.4287 data_time: 0.0195 memory: 17087 grad_norm: 5.3186 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4549 loss: 2.4549 2022/08/03 10:47:39 - mmengine - INFO - Epoch(train) [8][480/1879] lr: 8.0000e-03 eta: 2 days, 8:13:54 time: 0.4393 data_time: 0.0148 memory: 17087 grad_norm: 5.2061 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2803 loss: 2.2803 2022/08/03 10:47:48 - mmengine - INFO - Epoch(train) [8][500/1879] lr: 8.0000e-03 eta: 2 days, 8:13:42 time: 0.4289 data_time: 0.0193 memory: 17087 grad_norm: 5.3554 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3088 loss: 2.3088 2022/08/03 10:47:57 - mmengine - INFO - Epoch(train) [8][520/1879] lr: 8.0000e-03 eta: 2 days, 8:13:38 time: 0.4396 data_time: 0.0171 memory: 17087 grad_norm: 5.3040 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1991 loss: 2.1991 2022/08/03 10:48:05 - mmengine - INFO - Epoch(train) [8][540/1879] lr: 8.0000e-03 eta: 2 days, 8:13:26 time: 0.4287 data_time: 0.0185 memory: 17087 grad_norm: 5.2951 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.4709 loss: 2.4709 2022/08/03 10:48:14 - mmengine - INFO - Epoch(train) [8][560/1879] lr: 8.0000e-03 eta: 2 days, 8:13:16 time: 0.4309 data_time: 0.0171 memory: 17087 grad_norm: 5.3719 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2901 loss: 2.2901 2022/08/03 10:48:23 - mmengine - INFO - Epoch(train) [8][580/1879] lr: 8.0000e-03 eta: 2 days, 8:13:05 time: 0.4293 data_time: 0.0138 memory: 17087 grad_norm: 5.2949 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3637 loss: 2.3637 2022/08/03 10:48:31 - mmengine - INFO - Epoch(train) [8][600/1879] lr: 8.0000e-03 eta: 2 days, 8:12:49 time: 0.4215 data_time: 0.0143 memory: 17087 grad_norm: 5.2447 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1893 loss: 2.1893 2022/08/03 10:48:40 - mmengine - INFO - Epoch(train) [8][620/1879] lr: 8.0000e-03 eta: 2 days, 8:12:36 time: 0.4279 data_time: 0.0149 memory: 17087 grad_norm: 5.3079 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4437 loss: 2.4437 2022/08/03 10:48:48 - mmengine - INFO - Epoch(train) [8][640/1879] lr: 8.0000e-03 eta: 2 days, 8:12:21 time: 0.4230 data_time: 0.0153 memory: 17087 grad_norm: 5.2512 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.3112 loss: 2.3112 2022/08/03 10:48:57 - mmengine - INFO - Epoch(train) [8][660/1879] lr: 8.0000e-03 eta: 2 days, 8:12:13 time: 0.4337 data_time: 0.0161 memory: 17087 grad_norm: 5.4207 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.5571 loss: 2.5571 2022/08/03 10:49:05 - mmengine - INFO - Epoch(train) [8][680/1879] lr: 8.0000e-03 eta: 2 days, 8:12:00 time: 0.4276 data_time: 0.0203 memory: 17087 grad_norm: 5.2968 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.3975 loss: 2.3975 2022/08/03 10:49:14 - mmengine - INFO - Epoch(train) [8][700/1879] lr: 8.0000e-03 eta: 2 days, 8:11:51 time: 0.4322 data_time: 0.0159 memory: 17087 grad_norm: 5.4673 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.3588 loss: 2.3588 2022/08/03 10:49:22 - mmengine - INFO - Epoch(train) [8][720/1879] lr: 8.0000e-03 eta: 2 days, 8:11:36 time: 0.4234 data_time: 0.0159 memory: 17087 grad_norm: 5.3450 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.4456 loss: 2.4456 2022/08/03 10:49:31 - mmengine - INFO - Epoch(train) [8][740/1879] lr: 8.0000e-03 eta: 2 days, 8:11:24 time: 0.4279 data_time: 0.0186 memory: 17087 grad_norm: 5.2384 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.2706 loss: 2.2706 2022/08/03 10:49:39 - mmengine - INFO - Epoch(train) [8][760/1879] lr: 8.0000e-03 eta: 2 days, 8:11:09 time: 0.4248 data_time: 0.0152 memory: 17087 grad_norm: 5.1885 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2838 loss: 2.2838 2022/08/03 10:49:48 - mmengine - INFO - Epoch(train) [8][780/1879] lr: 8.0000e-03 eta: 2 days, 8:10:56 time: 0.4258 data_time: 0.0146 memory: 17087 grad_norm: 5.2280 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3079 loss: 2.3079 2022/08/03 10:49:57 - mmengine - INFO - Epoch(train) [8][800/1879] lr: 8.0000e-03 eta: 2 days, 8:10:50 time: 0.4377 data_time: 0.0153 memory: 17087 grad_norm: 5.2802 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3861 loss: 2.3861 2022/08/03 10:50:05 - mmengine - INFO - Epoch(train) [8][820/1879] lr: 8.0000e-03 eta: 2 days, 8:10:41 time: 0.4322 data_time: 0.0266 memory: 17087 grad_norm: 5.3237 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.5798 loss: 2.5798 2022/08/03 10:50:14 - mmengine - INFO - Epoch(train) [8][840/1879] lr: 8.0000e-03 eta: 2 days, 8:10:39 time: 0.4432 data_time: 0.0190 memory: 17087 grad_norm: 5.4113 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.3689 loss: 2.3689 2022/08/03 10:50:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:50:23 - mmengine - INFO - Epoch(train) [8][860/1879] lr: 8.0000e-03 eta: 2 days, 8:10:25 time: 0.4242 data_time: 0.0138 memory: 17087 grad_norm: 5.2870 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 2.0171 loss: 2.0171 2022/08/03 10:50:31 - mmengine - INFO - Epoch(train) [8][880/1879] lr: 8.0000e-03 eta: 2 days, 8:10:11 time: 0.4259 data_time: 0.0156 memory: 17087 grad_norm: 5.4429 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2200 loss: 2.2200 2022/08/03 10:50:40 - mmengine - INFO - Epoch(train) [8][900/1879] lr: 8.0000e-03 eta: 2 days, 8:09:57 time: 0.4243 data_time: 0.0138 memory: 17087 grad_norm: 5.3281 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.4098 loss: 2.4098 2022/08/03 10:50:48 - mmengine - INFO - Epoch(train) [8][920/1879] lr: 8.0000e-03 eta: 2 days, 8:09:45 time: 0.4279 data_time: 0.0159 memory: 17087 grad_norm: 5.1333 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2684 loss: 2.2684 2022/08/03 10:50:57 - mmengine - INFO - Epoch(train) [8][940/1879] lr: 8.0000e-03 eta: 2 days, 8:09:39 time: 0.4373 data_time: 0.0155 memory: 17087 grad_norm: 5.3365 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2785 loss: 2.2785 2022/08/03 10:51:06 - mmengine - INFO - Epoch(train) [8][960/1879] lr: 8.0000e-03 eta: 2 days, 8:09:25 time: 0.4247 data_time: 0.0154 memory: 17087 grad_norm: 5.5099 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.5667 loss: 2.5667 2022/08/03 10:51:14 - mmengine - INFO - Epoch(train) [8][980/1879] lr: 8.0000e-03 eta: 2 days, 8:09:21 time: 0.4395 data_time: 0.0144 memory: 17087 grad_norm: 5.2259 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3511 loss: 2.3511 2022/08/03 10:51:23 - mmengine - INFO - Epoch(train) [8][1000/1879] lr: 8.0000e-03 eta: 2 days, 8:09:09 time: 0.4280 data_time: 0.0144 memory: 17087 grad_norm: 5.1487 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2542 loss: 2.2542 2022/08/03 10:51:31 - mmengine - INFO - Epoch(train) [8][1020/1879] lr: 8.0000e-03 eta: 2 days, 8:08:53 time: 0.4230 data_time: 0.0153 memory: 17087 grad_norm: 5.1455 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2454 loss: 2.2454 2022/08/03 10:51:40 - mmengine - INFO - Epoch(train) [8][1040/1879] lr: 8.0000e-03 eta: 2 days, 8:08:38 time: 0.4233 data_time: 0.0155 memory: 17087 grad_norm: 5.2488 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2752 loss: 2.2752 2022/08/03 10:51:48 - mmengine - INFO - Epoch(train) [8][1060/1879] lr: 8.0000e-03 eta: 2 days, 8:08:25 time: 0.4253 data_time: 0.0145 memory: 17087 grad_norm: 5.3718 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5279 loss: 2.5279 2022/08/03 10:51:57 - mmengine - INFO - Epoch(train) [8][1080/1879] lr: 8.0000e-03 eta: 2 days, 8:08:12 time: 0.4271 data_time: 0.0194 memory: 17087 grad_norm: 5.1889 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.2993 loss: 2.2993 2022/08/03 10:52:05 - mmengine - INFO - Epoch(train) [8][1100/1879] lr: 8.0000e-03 eta: 2 days, 8:07:59 time: 0.4262 data_time: 0.0143 memory: 17087 grad_norm: 5.2348 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2571 loss: 2.2571 2022/08/03 10:52:14 - mmengine - INFO - Epoch(train) [8][1120/1879] lr: 8.0000e-03 eta: 2 days, 8:07:46 time: 0.4264 data_time: 0.0165 memory: 17087 grad_norm: 5.1656 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2377 loss: 2.2377 2022/08/03 10:52:22 - mmengine - INFO - Epoch(train) [8][1140/1879] lr: 8.0000e-03 eta: 2 days, 8:07:32 time: 0.4247 data_time: 0.0135 memory: 17087 grad_norm: 5.1901 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2278 loss: 2.2278 2022/08/03 10:52:31 - mmengine - INFO - Epoch(train) [8][1160/1879] lr: 8.0000e-03 eta: 2 days, 8:07:20 time: 0.4275 data_time: 0.0149 memory: 17087 grad_norm: 5.2868 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3214 loss: 2.3214 2022/08/03 10:52:40 - mmengine - INFO - Epoch(train) [8][1180/1879] lr: 8.0000e-03 eta: 2 days, 8:07:15 time: 0.4384 data_time: 0.0161 memory: 17087 grad_norm: 5.2171 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3530 loss: 2.3530 2022/08/03 10:52:48 - mmengine - INFO - Epoch(train) [8][1200/1879] lr: 8.0000e-03 eta: 2 days, 8:07:05 time: 0.4305 data_time: 0.0144 memory: 17087 grad_norm: 5.2761 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3696 loss: 2.3696 2022/08/03 10:52:57 - mmengine - INFO - Epoch(train) [8][1220/1879] lr: 8.0000e-03 eta: 2 days, 8:06:49 time: 0.4224 data_time: 0.0141 memory: 17087 grad_norm: 5.1860 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3355 loss: 2.3355 2022/08/03 10:53:05 - mmengine - INFO - Epoch(train) [8][1240/1879] lr: 8.0000e-03 eta: 2 days, 8:06:37 time: 0.4280 data_time: 0.0159 memory: 17087 grad_norm: 5.2605 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1507 loss: 2.1507 2022/08/03 10:53:14 - mmengine - INFO - Epoch(train) [8][1260/1879] lr: 8.0000e-03 eta: 2 days, 8:06:24 time: 0.4253 data_time: 0.0162 memory: 17087 grad_norm: 5.2163 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2195 loss: 2.2195 2022/08/03 10:53:22 - mmengine - INFO - Epoch(train) [8][1280/1879] lr: 8.0000e-03 eta: 2 days, 8:06:10 time: 0.4244 data_time: 0.0159 memory: 17087 grad_norm: 5.1790 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1217 loss: 2.1217 2022/08/03 10:53:31 - mmengine - INFO - Epoch(train) [8][1300/1879] lr: 8.0000e-03 eta: 2 days, 8:05:54 time: 0.4226 data_time: 0.0143 memory: 17087 grad_norm: 5.2713 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.3376 loss: 2.3376 2022/08/03 10:53:40 - mmengine - INFO - Epoch(train) [8][1320/1879] lr: 8.0000e-03 eta: 2 days, 8:05:49 time: 0.4374 data_time: 0.0149 memory: 17087 grad_norm: 5.1505 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3512 loss: 2.3512 2022/08/03 10:53:48 - mmengine - INFO - Epoch(train) [8][1340/1879] lr: 8.0000e-03 eta: 2 days, 8:05:35 time: 0.4243 data_time: 0.0152 memory: 17087 grad_norm: 5.2338 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2236 loss: 2.2236 2022/08/03 10:53:57 - mmengine - INFO - Epoch(train) [8][1360/1879] lr: 8.0000e-03 eta: 2 days, 8:05:21 time: 0.4253 data_time: 0.0161 memory: 17087 grad_norm: 5.1386 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2720 loss: 2.2720 2022/08/03 10:54:05 - mmengine - INFO - Epoch(train) [8][1380/1879] lr: 8.0000e-03 eta: 2 days, 8:05:07 time: 0.4251 data_time: 0.0146 memory: 17087 grad_norm: 5.2658 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3173 loss: 2.3173 2022/08/03 10:54:14 - mmengine - INFO - Epoch(train) [8][1400/1879] lr: 8.0000e-03 eta: 2 days, 8:04:54 time: 0.4249 data_time: 0.0171 memory: 17087 grad_norm: 5.2885 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.2950 loss: 2.2950 2022/08/03 10:54:22 - mmengine - INFO - Epoch(train) [8][1420/1879] lr: 8.0000e-03 eta: 2 days, 8:04:39 time: 0.4236 data_time: 0.0136 memory: 17087 grad_norm: 5.1708 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1991 loss: 2.1991 2022/08/03 10:54:30 - mmengine - INFO - Epoch(train) [8][1440/1879] lr: 8.0000e-03 eta: 2 days, 8:04:25 time: 0.4244 data_time: 0.0171 memory: 17087 grad_norm: 5.2159 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2360 loss: 2.2360 2022/08/03 10:54:39 - mmengine - INFO - Epoch(train) [8][1460/1879] lr: 8.0000e-03 eta: 2 days, 8:04:19 time: 0.4363 data_time: 0.0146 memory: 17087 grad_norm: 5.2299 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1576 loss: 2.1576 2022/08/03 10:54:48 - mmengine - INFO - Epoch(train) [8][1480/1879] lr: 8.0000e-03 eta: 2 days, 8:04:10 time: 0.4320 data_time: 0.0205 memory: 17087 grad_norm: 5.1863 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1033 loss: 2.1033 2022/08/03 10:54:56 - mmengine - INFO - Epoch(train) [8][1500/1879] lr: 8.0000e-03 eta: 2 days, 8:03:54 time: 0.4224 data_time: 0.0172 memory: 17087 grad_norm: 5.2162 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.3156 loss: 2.3156 2022/08/03 10:55:05 - mmengine - INFO - Epoch(train) [8][1520/1879] lr: 8.0000e-03 eta: 2 days, 8:03:42 time: 0.4263 data_time: 0.0164 memory: 17087 grad_norm: 5.2319 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2753 loss: 2.2753 2022/08/03 10:55:13 - mmengine - INFO - Epoch(train) [8][1540/1879] lr: 8.0000e-03 eta: 2 days, 8:03:31 time: 0.4303 data_time: 0.0128 memory: 17087 grad_norm: 5.2598 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3239 loss: 2.3239 2022/08/03 10:55:22 - mmengine - INFO - Epoch(train) [8][1560/1879] lr: 8.0000e-03 eta: 2 days, 8:03:18 time: 0.4251 data_time: 0.0169 memory: 17087 grad_norm: 5.1620 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4845 loss: 2.4845 2022/08/03 10:55:30 - mmengine - INFO - Epoch(train) [8][1580/1879] lr: 8.0000e-03 eta: 2 days, 8:03:05 time: 0.4261 data_time: 0.0179 memory: 17087 grad_norm: 5.2948 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1928 loss: 2.1928 2022/08/03 10:55:39 - mmengine - INFO - Epoch(train) [8][1600/1879] lr: 8.0000e-03 eta: 2 days, 8:02:50 time: 0.4236 data_time: 0.0160 memory: 17087 grad_norm: 5.1353 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3272 loss: 2.3272 2022/08/03 10:55:47 - mmengine - INFO - Epoch(train) [8][1620/1879] lr: 8.0000e-03 eta: 2 days, 8:02:38 time: 0.4270 data_time: 0.0138 memory: 17087 grad_norm: 5.1546 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1199 loss: 2.1199 2022/08/03 10:55:56 - mmengine - INFO - Epoch(train) [8][1640/1879] lr: 8.0000e-03 eta: 2 days, 8:02:29 time: 0.4313 data_time: 0.0178 memory: 17087 grad_norm: 5.1361 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.3644 loss: 2.3644 2022/08/03 10:56:05 - mmengine - INFO - Epoch(train) [8][1660/1879] lr: 8.0000e-03 eta: 2 days, 8:02:15 time: 0.4245 data_time: 0.0134 memory: 17087 grad_norm: 5.2985 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3525 loss: 2.3525 2022/08/03 10:56:14 - mmengine - INFO - Epoch(train) [8][1680/1879] lr: 8.0000e-03 eta: 2 days, 8:02:14 time: 0.4458 data_time: 0.0375 memory: 17087 grad_norm: 5.2942 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4280 loss: 2.4280 2022/08/03 10:56:22 - mmengine - INFO - Epoch(train) [8][1700/1879] lr: 8.0000e-03 eta: 2 days, 8:01:59 time: 0.4216 data_time: 0.0132 memory: 17087 grad_norm: 5.2528 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.4209 loss: 2.4209 2022/08/03 10:56:31 - mmengine - INFO - Epoch(train) [8][1720/1879] lr: 8.0000e-03 eta: 2 days, 8:01:50 time: 0.4329 data_time: 0.0159 memory: 17087 grad_norm: 5.3130 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3557 loss: 2.3557 2022/08/03 10:56:39 - mmengine - INFO - Epoch(train) [8][1740/1879] lr: 8.0000e-03 eta: 2 days, 8:01:38 time: 0.4277 data_time: 0.0148 memory: 17087 grad_norm: 5.1698 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1243 loss: 2.1243 2022/08/03 10:56:48 - mmengine - INFO - Epoch(train) [8][1760/1879] lr: 8.0000e-03 eta: 2 days, 8:01:31 time: 0.4344 data_time: 0.0178 memory: 17087 grad_norm: 5.2006 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.4029 loss: 2.4029 2022/08/03 10:56:56 - mmengine - INFO - Epoch(train) [8][1780/1879] lr: 8.0000e-03 eta: 2 days, 8:01:15 time: 0.4216 data_time: 0.0139 memory: 17087 grad_norm: 5.2341 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3066 loss: 2.3066 2022/08/03 10:57:05 - mmengine - INFO - Epoch(train) [8][1800/1879] lr: 8.0000e-03 eta: 2 days, 8:01:14 time: 0.4446 data_time: 0.0162 memory: 17087 grad_norm: 5.1300 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3177 loss: 2.3177 2022/08/03 10:57:14 - mmengine - INFO - Epoch(train) [8][1820/1879] lr: 8.0000e-03 eta: 2 days, 8:01:00 time: 0.4240 data_time: 0.0127 memory: 17087 grad_norm: 5.0937 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1410 loss: 2.1410 2022/08/03 10:57:22 - mmengine - INFO - Epoch(train) [8][1840/1879] lr: 8.0000e-03 eta: 2 days, 8:00:46 time: 0.4235 data_time: 0.0154 memory: 17087 grad_norm: 5.2368 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3003 loss: 2.3003 2022/08/03 10:57:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:57:31 - mmengine - INFO - Epoch(train) [8][1860/1879] lr: 8.0000e-03 eta: 2 days, 8:00:31 time: 0.4226 data_time: 0.0156 memory: 17087 grad_norm: 5.2241 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2035 loss: 2.2035 2022/08/03 10:57:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 10:57:38 - mmengine - INFO - Epoch(train) [8][1879/1879] lr: 8.0000e-03 eta: 2 days, 8:00:31 time: 0.4045 data_time: 0.0146 memory: 17087 grad_norm: 5.2997 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.1040 loss: 2.1040 2022/08/03 10:57:38 - mmengine - INFO - Saving checkpoint at 8 epochs 2022/08/03 10:57:52 - mmengine - INFO - Epoch(train) [9][20/1879] lr: 9.0000e-03 eta: 2 days, 7:56:51 time: 0.5169 data_time: 0.1085 memory: 17087 grad_norm: 5.2546 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2072 loss: 2.2072 2022/08/03 10:58:01 - mmengine - INFO - Epoch(train) [9][40/1879] lr: 9.0000e-03 eta: 2 days, 7:56:49 time: 0.4426 data_time: 0.0139 memory: 17087 grad_norm: 5.2188 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1213 loss: 2.1213 2022/08/03 10:58:09 - mmengine - INFO - Epoch(train) [9][60/1879] lr: 9.0000e-03 eta: 2 days, 7:56:39 time: 0.4300 data_time: 0.0203 memory: 17087 grad_norm: 5.1404 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2154 loss: 2.2154 2022/08/03 10:58:18 - mmengine - INFO - Epoch(train) [9][80/1879] lr: 9.0000e-03 eta: 2 days, 7:56:25 time: 0.4237 data_time: 0.0155 memory: 17087 grad_norm: 5.2771 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2051 loss: 2.2051 2022/08/03 10:58:26 - mmengine - INFO - Epoch(train) [9][100/1879] lr: 9.0000e-03 eta: 2 days, 7:56:11 time: 0.4238 data_time: 0.0162 memory: 17087 grad_norm: 5.2831 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1333 loss: 2.1333 2022/08/03 10:58:35 - mmengine - INFO - Epoch(train) [9][120/1879] lr: 9.0000e-03 eta: 2 days, 7:55:58 time: 0.4246 data_time: 0.0146 memory: 17087 grad_norm: 5.2388 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2167 loss: 2.2167 2022/08/03 10:58:43 - mmengine - INFO - Epoch(train) [9][140/1879] lr: 9.0000e-03 eta: 2 days, 7:55:44 time: 0.4226 data_time: 0.0152 memory: 17087 grad_norm: 5.1111 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2966 loss: 2.2966 2022/08/03 10:58:52 - mmengine - INFO - Epoch(train) [9][160/1879] lr: 9.0000e-03 eta: 2 days, 7:55:33 time: 0.4283 data_time: 0.0166 memory: 17087 grad_norm: 5.1947 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3022 loss: 2.3022 2022/08/03 10:59:00 - mmengine - INFO - Epoch(train) [9][180/1879] lr: 9.0000e-03 eta: 2 days, 7:55:17 time: 0.4202 data_time: 0.0144 memory: 17087 grad_norm: 5.1660 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.4963 loss: 2.4963 2022/08/03 10:59:09 - mmengine - INFO - Epoch(train) [9][200/1879] lr: 9.0000e-03 eta: 2 days, 7:55:05 time: 0.4267 data_time: 0.0150 memory: 17087 grad_norm: 5.1053 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.2844 loss: 2.2844 2022/08/03 10:59:17 - mmengine - INFO - Epoch(train) [9][220/1879] lr: 9.0000e-03 eta: 2 days, 7:54:50 time: 0.4232 data_time: 0.0157 memory: 17087 grad_norm: 5.1864 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1626 loss: 2.1626 2022/08/03 10:59:26 - mmengine - INFO - Epoch(train) [9][240/1879] lr: 9.0000e-03 eta: 2 days, 7:54:38 time: 0.4260 data_time: 0.0157 memory: 17087 grad_norm: 5.2263 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2840 loss: 2.2840 2022/08/03 10:59:34 - mmengine - INFO - Epoch(train) [9][260/1879] lr: 9.0000e-03 eta: 2 days, 7:54:24 time: 0.4237 data_time: 0.0147 memory: 17087 grad_norm: 5.3915 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.3004 loss: 2.3004 2022/08/03 10:59:42 - mmengine - INFO - Epoch(train) [9][280/1879] lr: 9.0000e-03 eta: 2 days, 7:54:11 time: 0.4244 data_time: 0.0159 memory: 17087 grad_norm: 5.2647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2118 loss: 2.2118 2022/08/03 10:59:52 - mmengine - INFO - Epoch(train) [9][300/1879] lr: 9.0000e-03 eta: 2 days, 7:54:14 time: 0.4520 data_time: 0.0142 memory: 17087 grad_norm: 5.0865 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3294 loss: 2.3294 2022/08/03 11:00:00 - mmengine - INFO - Epoch(train) [9][320/1879] lr: 9.0000e-03 eta: 2 days, 7:54:04 time: 0.4289 data_time: 0.0221 memory: 17087 grad_norm: 5.0612 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.2299 loss: 2.2299 2022/08/03 11:00:09 - mmengine - INFO - Epoch(train) [9][340/1879] lr: 9.0000e-03 eta: 2 days, 7:53:56 time: 0.4331 data_time: 0.0158 memory: 17087 grad_norm: 5.1505 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1053 loss: 2.1053 2022/08/03 11:00:17 - mmengine - INFO - Epoch(train) [9][360/1879] lr: 9.0000e-03 eta: 2 days, 7:53:45 time: 0.4286 data_time: 0.0210 memory: 17087 grad_norm: 5.2070 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3551 loss: 2.3551 2022/08/03 11:00:26 - mmengine - INFO - Epoch(train) [9][380/1879] lr: 9.0000e-03 eta: 2 days, 7:53:34 time: 0.4290 data_time: 0.0145 memory: 17087 grad_norm: 5.2557 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1505 loss: 2.1505 2022/08/03 11:00:34 - mmengine - INFO - Epoch(train) [9][400/1879] lr: 9.0000e-03 eta: 2 days, 7:53:23 time: 0.4272 data_time: 0.0184 memory: 17087 grad_norm: 5.1408 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2425 loss: 2.2425 2022/08/03 11:00:43 - mmengine - INFO - Epoch(train) [9][420/1879] lr: 9.0000e-03 eta: 2 days, 7:53:15 time: 0.4331 data_time: 0.0268 memory: 17087 grad_norm: 5.1860 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3032 loss: 2.3032 2022/08/03 11:00:52 - mmengine - INFO - Epoch(train) [9][440/1879] lr: 9.0000e-03 eta: 2 days, 7:53:06 time: 0.4327 data_time: 0.0159 memory: 17087 grad_norm: 5.3043 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.3131 loss: 2.3131 2022/08/03 11:01:00 - mmengine - INFO - Epoch(train) [9][460/1879] lr: 9.0000e-03 eta: 2 days, 7:52:59 time: 0.4348 data_time: 0.0144 memory: 17087 grad_norm: 5.1951 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.5031 loss: 2.5031 2022/08/03 11:01:09 - mmengine - INFO - Epoch(train) [9][480/1879] lr: 9.0000e-03 eta: 2 days, 7:52:46 time: 0.4248 data_time: 0.0151 memory: 17087 grad_norm: 5.2144 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2863 loss: 2.2863 2022/08/03 11:01:18 - mmengine - INFO - Epoch(train) [9][500/1879] lr: 9.0000e-03 eta: 2 days, 7:52:36 time: 0.4294 data_time: 0.0150 memory: 17087 grad_norm: 5.0864 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1474 loss: 2.1474 2022/08/03 11:01:26 - mmengine - INFO - Epoch(train) [9][520/1879] lr: 9.0000e-03 eta: 2 days, 7:52:28 time: 0.4339 data_time: 0.0143 memory: 17087 grad_norm: 5.1768 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2369 loss: 2.2369 2022/08/03 11:01:35 - mmengine - INFO - Epoch(train) [9][540/1879] lr: 9.0000e-03 eta: 2 days, 7:52:16 time: 0.4264 data_time: 0.0153 memory: 17087 grad_norm: 5.1673 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2724 loss: 2.2724 2022/08/03 11:01:43 - mmengine - INFO - Epoch(train) [9][560/1879] lr: 9.0000e-03 eta: 2 days, 7:52:02 time: 0.4229 data_time: 0.0162 memory: 17087 grad_norm: 5.1990 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.3856 loss: 2.3856 2022/08/03 11:01:52 - mmengine - INFO - Epoch(train) [9][580/1879] lr: 9.0000e-03 eta: 2 days, 7:51:51 time: 0.4283 data_time: 0.0131 memory: 17087 grad_norm: 5.1723 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2402 loss: 2.2402 2022/08/03 11:02:00 - mmengine - INFO - Epoch(train) [9][600/1879] lr: 9.0000e-03 eta: 2 days, 7:51:43 time: 0.4328 data_time: 0.0156 memory: 17087 grad_norm: 5.2299 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2388 loss: 2.2388 2022/08/03 11:02:09 - mmengine - INFO - Epoch(train) [9][620/1879] lr: 9.0000e-03 eta: 2 days, 7:51:31 time: 0.4264 data_time: 0.0181 memory: 17087 grad_norm: 5.1855 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.4455 loss: 2.4455 2022/08/03 11:02:18 - mmengine - INFO - Epoch(train) [9][640/1879] lr: 9.0000e-03 eta: 2 days, 7:51:20 time: 0.4284 data_time: 0.0163 memory: 17087 grad_norm: 5.1747 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0884 loss: 2.0884 2022/08/03 11:02:26 - mmengine - INFO - Epoch(train) [9][660/1879] lr: 9.0000e-03 eta: 2 days, 7:51:08 time: 0.4267 data_time: 0.0176 memory: 17087 grad_norm: 5.1402 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3063 loss: 2.3063 2022/08/03 11:02:35 - mmengine - INFO - Epoch(train) [9][680/1879] lr: 9.0000e-03 eta: 2 days, 7:50:56 time: 0.4253 data_time: 0.0154 memory: 17087 grad_norm: 5.0915 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2754 loss: 2.2754 2022/08/03 11:02:43 - mmengine - INFO - Epoch(train) [9][700/1879] lr: 9.0000e-03 eta: 2 days, 7:50:42 time: 0.4231 data_time: 0.0143 memory: 17087 grad_norm: 5.2258 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1036 loss: 2.1036 2022/08/03 11:02:52 - mmengine - INFO - Epoch(train) [9][720/1879] lr: 9.0000e-03 eta: 2 days, 7:50:29 time: 0.4252 data_time: 0.0146 memory: 17087 grad_norm: 5.0604 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2394 loss: 2.2394 2022/08/03 11:03:00 - mmengine - INFO - Epoch(train) [9][740/1879] lr: 9.0000e-03 eta: 2 days, 7:50:28 time: 0.4447 data_time: 0.0146 memory: 17087 grad_norm: 5.2309 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.4290 loss: 2.4290 2022/08/03 11:03:09 - mmengine - INFO - Epoch(train) [9][760/1879] lr: 9.0000e-03 eta: 2 days, 7:50:16 time: 0.4269 data_time: 0.0155 memory: 17087 grad_norm: 5.0704 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1873 loss: 2.1873 2022/08/03 11:03:18 - mmengine - INFO - Epoch(train) [9][780/1879] lr: 9.0000e-03 eta: 2 days, 7:50:12 time: 0.4398 data_time: 0.0137 memory: 17087 grad_norm: 5.0513 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0863 loss: 2.0863 2022/08/03 11:03:26 - mmengine - INFO - Epoch(train) [9][800/1879] lr: 9.0000e-03 eta: 2 days, 7:50:00 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 5.1737 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.4844 loss: 2.4844 2022/08/03 11:03:35 - mmengine - INFO - Epoch(train) [9][820/1879] lr: 9.0000e-03 eta: 2 days, 7:49:47 time: 0.4253 data_time: 0.0148 memory: 17087 grad_norm: 5.1158 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2877 loss: 2.2877 2022/08/03 11:03:43 - mmengine - INFO - Epoch(train) [9][840/1879] lr: 9.0000e-03 eta: 2 days, 7:49:34 time: 0.4241 data_time: 0.0153 memory: 17087 grad_norm: 5.1734 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1390 loss: 2.1390 2022/08/03 11:03:52 - mmengine - INFO - Epoch(train) [9][860/1879] lr: 9.0000e-03 eta: 2 days, 7:49:21 time: 0.4244 data_time: 0.0146 memory: 17087 grad_norm: 5.1708 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2138 loss: 2.2138 2022/08/03 11:04:01 - mmengine - INFO - Epoch(train) [9][880/1879] lr: 9.0000e-03 eta: 2 days, 7:49:16 time: 0.4381 data_time: 0.0158 memory: 17087 grad_norm: 5.1493 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1810 loss: 2.1810 2022/08/03 11:04:09 - mmengine - INFO - Epoch(train) [9][900/1879] lr: 9.0000e-03 eta: 2 days, 7:49:06 time: 0.4303 data_time: 0.0140 memory: 17087 grad_norm: 5.1898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2778 loss: 2.2778 2022/08/03 11:04:18 - mmengine - INFO - Epoch(train) [9][920/1879] lr: 9.0000e-03 eta: 2 days, 7:48:55 time: 0.4278 data_time: 0.0173 memory: 17087 grad_norm: 5.2803 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.3855 loss: 2.3855 2022/08/03 11:04:26 - mmengine - INFO - Epoch(train) [9][940/1879] lr: 9.0000e-03 eta: 2 days, 7:48:41 time: 0.4235 data_time: 0.0154 memory: 17087 grad_norm: 5.1422 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2667 loss: 2.2667 2022/08/03 11:04:35 - mmengine - INFO - Epoch(train) [9][960/1879] lr: 9.0000e-03 eta: 2 days, 7:48:36 time: 0.4373 data_time: 0.0144 memory: 17087 grad_norm: 5.1163 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.5081 loss: 2.5081 2022/08/03 11:04:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:04:43 - mmengine - INFO - Epoch(train) [9][980/1879] lr: 9.0000e-03 eta: 2 days, 7:48:21 time: 0.4215 data_time: 0.0138 memory: 17087 grad_norm: 5.1079 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2669 loss: 2.2669 2022/08/03 11:04:52 - mmengine - INFO - Epoch(train) [9][1000/1879] lr: 9.0000e-03 eta: 2 days, 7:48:12 time: 0.4323 data_time: 0.0192 memory: 17087 grad_norm: 5.0420 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4610 loss: 2.4610 2022/08/03 11:05:01 - mmengine - INFO - Epoch(train) [9][1020/1879] lr: 9.0000e-03 eta: 2 days, 7:47:59 time: 0.4245 data_time: 0.0158 memory: 17087 grad_norm: 5.1539 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2014 loss: 2.2014 2022/08/03 11:05:09 - mmengine - INFO - Epoch(train) [9][1040/1879] lr: 9.0000e-03 eta: 2 days, 7:47:47 time: 0.4250 data_time: 0.0165 memory: 17087 grad_norm: 5.0929 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2198 loss: 2.2198 2022/08/03 11:05:18 - mmengine - INFO - Epoch(train) [9][1060/1879] lr: 9.0000e-03 eta: 2 days, 7:47:39 time: 0.4337 data_time: 0.0144 memory: 17087 grad_norm: 5.0980 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1447 loss: 2.1447 2022/08/03 11:05:26 - mmengine - INFO - Epoch(train) [9][1080/1879] lr: 9.0000e-03 eta: 2 days, 7:47:29 time: 0.4297 data_time: 0.0148 memory: 17087 grad_norm: 5.0758 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.2132 loss: 2.2132 2022/08/03 11:05:35 - mmengine - INFO - Epoch(train) [9][1100/1879] lr: 9.0000e-03 eta: 2 days, 7:47:22 time: 0.4344 data_time: 0.0148 memory: 17087 grad_norm: 5.1816 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2458 loss: 2.2458 2022/08/03 11:05:43 - mmengine - INFO - Epoch(train) [9][1120/1879] lr: 9.0000e-03 eta: 2 days, 7:47:08 time: 0.4233 data_time: 0.0154 memory: 17087 grad_norm: 5.1310 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2803 loss: 2.2803 2022/08/03 11:05:52 - mmengine - INFO - Epoch(train) [9][1140/1879] lr: 9.0000e-03 eta: 2 days, 7:46:53 time: 0.4203 data_time: 0.0132 memory: 17087 grad_norm: 5.1349 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3327 loss: 2.3327 2022/08/03 11:06:00 - mmengine - INFO - Epoch(train) [9][1160/1879] lr: 9.0000e-03 eta: 2 days, 7:46:40 time: 0.4248 data_time: 0.0158 memory: 17087 grad_norm: 5.1822 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3571 loss: 2.3571 2022/08/03 11:06:09 - mmengine - INFO - Epoch(train) [9][1180/1879] lr: 9.0000e-03 eta: 2 days, 7:46:26 time: 0.4227 data_time: 0.0153 memory: 17087 grad_norm: 5.0154 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2741 loss: 2.2741 2022/08/03 11:06:18 - mmengine - INFO - Epoch(train) [9][1200/1879] lr: 9.0000e-03 eta: 2 days, 7:46:19 time: 0.4343 data_time: 0.0180 memory: 17087 grad_norm: 4.9909 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.2236 loss: 2.2236 2022/08/03 11:06:26 - mmengine - INFO - Epoch(train) [9][1220/1879] lr: 9.0000e-03 eta: 2 days, 7:46:07 time: 0.4275 data_time: 0.0157 memory: 17087 grad_norm: 5.1837 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.2769 loss: 2.2769 2022/08/03 11:06:35 - mmengine - INFO - Epoch(train) [9][1240/1879] lr: 9.0000e-03 eta: 2 days, 7:46:01 time: 0.4362 data_time: 0.0162 memory: 17087 grad_norm: 5.1885 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3032 loss: 2.3032 2022/08/03 11:06:43 - mmengine - INFO - Epoch(train) [9][1260/1879] lr: 9.0000e-03 eta: 2 days, 7:45:47 time: 0.4216 data_time: 0.0139 memory: 17087 grad_norm: 5.2464 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1783 loss: 2.1783 2022/08/03 11:06:52 - mmengine - INFO - Epoch(train) [9][1280/1879] lr: 9.0000e-03 eta: 2 days, 7:45:34 time: 0.4254 data_time: 0.0148 memory: 17087 grad_norm: 5.2184 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0790 loss: 2.0790 2022/08/03 11:07:01 - mmengine - INFO - Epoch(train) [9][1300/1879] lr: 9.0000e-03 eta: 2 days, 7:45:31 time: 0.4417 data_time: 0.0142 memory: 17087 grad_norm: 5.0955 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2241 loss: 2.2241 2022/08/03 11:07:09 - mmengine - INFO - Epoch(train) [9][1320/1879] lr: 9.0000e-03 eta: 2 days, 7:45:21 time: 0.4292 data_time: 0.0166 memory: 17087 grad_norm: 5.1492 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.4532 loss: 2.4532 2022/08/03 11:07:18 - mmengine - INFO - Epoch(train) [9][1340/1879] lr: 9.0000e-03 eta: 2 days, 7:45:12 time: 0.4309 data_time: 0.0142 memory: 17087 grad_norm: 5.1485 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2119 loss: 2.2119 2022/08/03 11:07:26 - mmengine - INFO - Epoch(train) [9][1360/1879] lr: 9.0000e-03 eta: 2 days, 7:45:00 time: 0.4259 data_time: 0.0158 memory: 17087 grad_norm: 5.1061 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2006 loss: 2.2006 2022/08/03 11:07:35 - mmengine - INFO - Epoch(train) [9][1380/1879] lr: 9.0000e-03 eta: 2 days, 7:44:49 time: 0.4282 data_time: 0.0139 memory: 17087 grad_norm: 5.1977 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2922 loss: 2.2922 2022/08/03 11:07:43 - mmengine - INFO - Epoch(train) [9][1400/1879] lr: 9.0000e-03 eta: 2 days, 7:44:35 time: 0.4237 data_time: 0.0152 memory: 17087 grad_norm: 5.1385 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1712 loss: 2.1712 2022/08/03 11:07:52 - mmengine - INFO - Epoch(train) [9][1420/1879] lr: 9.0000e-03 eta: 2 days, 7:44:24 time: 0.4269 data_time: 0.0143 memory: 17087 grad_norm: 5.0764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2971 loss: 2.2971 2022/08/03 11:08:00 - mmengine - INFO - Epoch(train) [9][1440/1879] lr: 9.0000e-03 eta: 2 days, 7:44:12 time: 0.4256 data_time: 0.0157 memory: 17087 grad_norm: 5.0941 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.2685 loss: 2.2685 2022/08/03 11:08:09 - mmengine - INFO - Epoch(train) [9][1460/1879] lr: 9.0000e-03 eta: 2 days, 7:43:58 time: 0.4232 data_time: 0.0151 memory: 17087 grad_norm: 5.1907 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4359 loss: 2.4359 2022/08/03 11:08:17 - mmengine - INFO - Epoch(train) [9][1480/1879] lr: 9.0000e-03 eta: 2 days, 7:43:46 time: 0.4261 data_time: 0.0160 memory: 17087 grad_norm: 5.0897 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.3175 loss: 2.3175 2022/08/03 11:08:26 - mmengine - INFO - Epoch(train) [9][1500/1879] lr: 9.0000e-03 eta: 2 days, 7:43:36 time: 0.4286 data_time: 0.0162 memory: 17087 grad_norm: 5.1253 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3465 loss: 2.3465 2022/08/03 11:08:34 - mmengine - INFO - Epoch(train) [9][1520/1879] lr: 9.0000e-03 eta: 2 days, 7:43:24 time: 0.4255 data_time: 0.0140 memory: 17087 grad_norm: 5.0690 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1381 loss: 2.1381 2022/08/03 11:08:43 - mmengine - INFO - Epoch(train) [9][1540/1879] lr: 9.0000e-03 eta: 2 days, 7:43:10 time: 0.4232 data_time: 0.0134 memory: 17087 grad_norm: 5.0141 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.4005 loss: 2.4005 2022/08/03 11:08:52 - mmengine - INFO - Epoch(train) [9][1560/1879] lr: 9.0000e-03 eta: 2 days, 7:43:04 time: 0.4365 data_time: 0.0142 memory: 17087 grad_norm: 5.1595 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1465 loss: 2.1465 2022/08/03 11:09:00 - mmengine - INFO - Epoch(train) [9][1580/1879] lr: 9.0000e-03 eta: 2 days, 7:42:56 time: 0.4338 data_time: 0.0186 memory: 17087 grad_norm: 5.0524 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.2313 loss: 2.2313 2022/08/03 11:09:09 - mmengine - INFO - Epoch(train) [9][1600/1879] lr: 9.0000e-03 eta: 2 days, 7:42:43 time: 0.4239 data_time: 0.0159 memory: 17087 grad_norm: 5.2746 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2306 loss: 2.2306 2022/08/03 11:09:17 - mmengine - INFO - Epoch(train) [9][1620/1879] lr: 9.0000e-03 eta: 2 days, 7:42:35 time: 0.4321 data_time: 0.0147 memory: 17087 grad_norm: 5.0601 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1868 loss: 2.1868 2022/08/03 11:09:26 - mmengine - INFO - Epoch(train) [9][1640/1879] lr: 9.0000e-03 eta: 2 days, 7:42:25 time: 0.4291 data_time: 0.0192 memory: 17087 grad_norm: 4.9977 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3214 loss: 2.3214 2022/08/03 11:09:35 - mmengine - INFO - Epoch(train) [9][1660/1879] lr: 9.0000e-03 eta: 2 days, 7:42:14 time: 0.4277 data_time: 0.0150 memory: 17087 grad_norm: 5.0207 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1452 loss: 2.1452 2022/08/03 11:09:43 - mmengine - INFO - Epoch(train) [9][1680/1879] lr: 9.0000e-03 eta: 2 days, 7:42:10 time: 0.4409 data_time: 0.0152 memory: 17087 grad_norm: 5.0608 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2551 loss: 2.2551 2022/08/03 11:09:52 - mmengine - INFO - Epoch(train) [9][1700/1879] lr: 9.0000e-03 eta: 2 days, 7:41:57 time: 0.4247 data_time: 0.0169 memory: 17087 grad_norm: 5.0407 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.3702 loss: 2.3702 2022/08/03 11:10:00 - mmengine - INFO - Epoch(train) [9][1720/1879] lr: 9.0000e-03 eta: 2 days, 7:41:45 time: 0.4245 data_time: 0.0149 memory: 17087 grad_norm: 4.9610 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3839 loss: 2.3839 2022/08/03 11:10:09 - mmengine - INFO - Epoch(train) [9][1740/1879] lr: 9.0000e-03 eta: 2 days, 7:41:33 time: 0.4267 data_time: 0.0170 memory: 17087 grad_norm: 5.0253 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2242 loss: 2.2242 2022/08/03 11:10:17 - mmengine - INFO - Epoch(train) [9][1760/1879] lr: 9.0000e-03 eta: 2 days, 7:41:22 time: 0.4277 data_time: 0.0157 memory: 17087 grad_norm: 5.0828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2087 loss: 2.2087 2022/08/03 11:10:26 - mmengine - INFO - Epoch(train) [9][1780/1879] lr: 9.0000e-03 eta: 2 days, 7:41:18 time: 0.4390 data_time: 0.0218 memory: 17087 grad_norm: 5.0353 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2943 loss: 2.2943 2022/08/03 11:10:35 - mmengine - INFO - Epoch(train) [9][1800/1879] lr: 9.0000e-03 eta: 2 days, 7:41:04 time: 0.4227 data_time: 0.0150 memory: 17087 grad_norm: 4.9789 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3745 loss: 2.3745 2022/08/03 11:10:43 - mmengine - INFO - Epoch(train) [9][1820/1879] lr: 9.0000e-03 eta: 2 days, 7:40:53 time: 0.4287 data_time: 0.0150 memory: 17087 grad_norm: 5.0234 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.2983 loss: 2.2983 2022/08/03 11:10:52 - mmengine - INFO - Epoch(train) [9][1840/1879] lr: 9.0000e-03 eta: 2 days, 7:40:48 time: 0.4377 data_time: 0.0164 memory: 17087 grad_norm: 5.0762 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3508 loss: 2.3508 2022/08/03 11:11:01 - mmengine - INFO - Epoch(train) [9][1860/1879] lr: 9.0000e-03 eta: 2 days, 7:40:40 time: 0.4322 data_time: 0.0148 memory: 17087 grad_norm: 5.0200 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.4468 loss: 2.4468 2022/08/03 11:11:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:11:08 - mmengine - INFO - Epoch(train) [9][1879/1879] lr: 9.0000e-03 eta: 2 days, 7:40:40 time: 0.4086 data_time: 0.0169 memory: 17087 grad_norm: 5.0895 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 2.2973 loss: 2.2973 2022/08/03 11:11:19 - mmengine - INFO - Epoch(train) [10][20/1879] lr: 1.0000e-02 eta: 2 days, 7:37:42 time: 0.5491 data_time: 0.1258 memory: 17087 grad_norm: 5.0883 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1285 loss: 2.1285 2022/08/03 11:11:28 - mmengine - INFO - Epoch(train) [10][40/1879] lr: 1.0000e-02 eta: 2 days, 7:37:38 time: 0.4389 data_time: 0.0179 memory: 17087 grad_norm: 4.9188 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.2031 loss: 2.2031 2022/08/03 11:11:37 - mmengine - INFO - Epoch(train) [10][60/1879] lr: 1.0000e-02 eta: 2 days, 7:37:27 time: 0.4288 data_time: 0.0152 memory: 17087 grad_norm: 5.1092 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1000 loss: 2.1000 2022/08/03 11:11:46 - mmengine - INFO - Epoch(train) [10][80/1879] lr: 1.0000e-02 eta: 2 days, 7:37:27 time: 0.4471 data_time: 0.0163 memory: 17087 grad_norm: 5.1827 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2578 loss: 2.2578 2022/08/03 11:11:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:11:54 - mmengine - INFO - Epoch(train) [10][100/1879] lr: 1.0000e-02 eta: 2 days, 7:37:13 time: 0.4217 data_time: 0.0140 memory: 17087 grad_norm: 5.2333 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.4183 loss: 2.4183 2022/08/03 11:12:03 - mmengine - INFO - Epoch(train) [10][120/1879] lr: 1.0000e-02 eta: 2 days, 7:37:00 time: 0.4235 data_time: 0.0150 memory: 17087 grad_norm: 5.0404 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1684 loss: 2.1684 2022/08/03 11:12:11 - mmengine - INFO - Epoch(train) [10][140/1879] lr: 1.0000e-02 eta: 2 days, 7:36:49 time: 0.4259 data_time: 0.0147 memory: 17087 grad_norm: 5.1485 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1549 loss: 2.1549 2022/08/03 11:12:20 - mmengine - INFO - Epoch(train) [10][160/1879] lr: 1.0000e-02 eta: 2 days, 7:36:45 time: 0.4404 data_time: 0.0169 memory: 17087 grad_norm: 5.2309 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2191 loss: 2.2191 2022/08/03 11:12:28 - mmengine - INFO - Epoch(train) [10][180/1879] lr: 1.0000e-02 eta: 2 days, 7:36:31 time: 0.4213 data_time: 0.0122 memory: 17087 grad_norm: 5.0435 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.4714 loss: 2.4714 2022/08/03 11:12:37 - mmengine - INFO - Epoch(train) [10][200/1879] lr: 1.0000e-02 eta: 2 days, 7:36:25 time: 0.4364 data_time: 0.0176 memory: 17087 grad_norm: 5.0826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.3748 loss: 2.3748 2022/08/03 11:12:46 - mmengine - INFO - Epoch(train) [10][220/1879] lr: 1.0000e-02 eta: 2 days, 7:36:15 time: 0.4292 data_time: 0.0181 memory: 17087 grad_norm: 5.0808 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1614 loss: 2.1614 2022/08/03 11:12:54 - mmengine - INFO - Epoch(train) [10][240/1879] lr: 1.0000e-02 eta: 2 days, 7:36:02 time: 0.4237 data_time: 0.0150 memory: 17087 grad_norm: 5.2887 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1786 loss: 2.1786 2022/08/03 11:13:03 - mmengine - INFO - Epoch(train) [10][260/1879] lr: 1.0000e-02 eta: 2 days, 7:35:51 time: 0.4266 data_time: 0.0149 memory: 17087 grad_norm: 5.1049 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.2909 loss: 2.2909 2022/08/03 11:13:11 - mmengine - INFO - Epoch(train) [10][280/1879] lr: 1.0000e-02 eta: 2 days, 7:35:40 time: 0.4276 data_time: 0.0183 memory: 17087 grad_norm: 5.1504 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 2.1626 loss: 2.1626 2022/08/03 11:13:20 - mmengine - INFO - Epoch(train) [10][300/1879] lr: 1.0000e-02 eta: 2 days, 7:35:26 time: 0.4210 data_time: 0.0129 memory: 17087 grad_norm: 5.0181 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2596 loss: 2.2596 2022/08/03 11:13:29 - mmengine - INFO - Epoch(train) [10][320/1879] lr: 1.0000e-02 eta: 2 days, 7:35:21 time: 0.4384 data_time: 0.0173 memory: 17087 grad_norm: 5.1645 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0984 loss: 2.0984 2022/08/03 11:13:37 - mmengine - INFO - Epoch(train) [10][340/1879] lr: 1.0000e-02 eta: 2 days, 7:35:06 time: 0.4208 data_time: 0.0137 memory: 17087 grad_norm: 5.1400 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3560 loss: 2.3560 2022/08/03 11:13:45 - mmengine - INFO - Epoch(train) [10][360/1879] lr: 1.0000e-02 eta: 2 days, 7:34:54 time: 0.4244 data_time: 0.0167 memory: 17087 grad_norm: 5.1028 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.4282 loss: 2.4282 2022/08/03 11:13:54 - mmengine - INFO - Epoch(train) [10][380/1879] lr: 1.0000e-02 eta: 2 days, 7:34:40 time: 0.4221 data_time: 0.0138 memory: 17087 grad_norm: 4.9224 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2875 loss: 2.2875 2022/08/03 11:14:02 - mmengine - INFO - Epoch(train) [10][400/1879] lr: 1.0000e-02 eta: 2 days, 7:34:27 time: 0.4236 data_time: 0.0157 memory: 17087 grad_norm: 5.1743 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.3292 loss: 2.3292 2022/08/03 11:14:11 - mmengine - INFO - Epoch(train) [10][420/1879] lr: 1.0000e-02 eta: 2 days, 7:34:22 time: 0.4382 data_time: 0.0143 memory: 17087 grad_norm: 5.0436 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.3130 loss: 2.3130 2022/08/03 11:14:20 - mmengine - INFO - Epoch(train) [10][440/1879] lr: 1.0000e-02 eta: 2 days, 7:34:12 time: 0.4289 data_time: 0.0151 memory: 17087 grad_norm: 4.9135 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1755 loss: 2.1755 2022/08/03 11:14:28 - mmengine - INFO - Epoch(train) [10][460/1879] lr: 1.0000e-02 eta: 2 days, 7:34:04 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 5.0426 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3179 loss: 2.3179 2022/08/03 11:14:37 - mmengine - INFO - Epoch(train) [10][480/1879] lr: 1.0000e-02 eta: 2 days, 7:33:51 time: 0.4236 data_time: 0.0155 memory: 17087 grad_norm: 4.9695 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 2.0701 loss: 2.0701 2022/08/03 11:14:46 - mmengine - INFO - Epoch(train) [10][500/1879] lr: 1.0000e-02 eta: 2 days, 7:33:47 time: 0.4402 data_time: 0.0167 memory: 17087 grad_norm: 4.9784 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2464 loss: 2.2464 2022/08/03 11:14:54 - mmengine - INFO - Epoch(train) [10][520/1879] lr: 1.0000e-02 eta: 2 days, 7:33:34 time: 0.4237 data_time: 0.0145 memory: 17087 grad_norm: 5.0029 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1447 loss: 2.1447 2022/08/03 11:15:03 - mmengine - INFO - Epoch(train) [10][540/1879] lr: 1.0000e-02 eta: 2 days, 7:33:23 time: 0.4261 data_time: 0.0153 memory: 17087 grad_norm: 5.1250 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.2543 loss: 2.2543 2022/08/03 11:15:11 - mmengine - INFO - Epoch(train) [10][560/1879] lr: 1.0000e-02 eta: 2 days, 7:33:11 time: 0.4250 data_time: 0.0153 memory: 17087 grad_norm: 5.0206 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.2896 loss: 2.2896 2022/08/03 11:15:20 - mmengine - INFO - Epoch(train) [10][580/1879] lr: 1.0000e-02 eta: 2 days, 7:33:00 time: 0.4274 data_time: 0.0159 memory: 17087 grad_norm: 4.9066 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3605 loss: 2.3605 2022/08/03 11:15:28 - mmengine - INFO - Epoch(train) [10][600/1879] lr: 1.0000e-02 eta: 2 days, 7:32:48 time: 0.4259 data_time: 0.0156 memory: 17087 grad_norm: 5.0886 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2349 loss: 2.2349 2022/08/03 11:15:37 - mmengine - INFO - Epoch(train) [10][620/1879] lr: 1.0000e-02 eta: 2 days, 7:32:40 time: 0.4314 data_time: 0.0146 memory: 17087 grad_norm: 5.0111 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.3555 loss: 2.3555 2022/08/03 11:15:45 - mmengine - INFO - Epoch(train) [10][640/1879] lr: 1.0000e-02 eta: 2 days, 7:32:26 time: 0.4218 data_time: 0.0148 memory: 17087 grad_norm: 5.0221 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3419 loss: 2.3419 2022/08/03 11:15:54 - mmengine - INFO - Epoch(train) [10][660/1879] lr: 1.0000e-02 eta: 2 days, 7:32:13 time: 0.4231 data_time: 0.0143 memory: 17087 grad_norm: 4.9533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0863 loss: 2.0863 2022/08/03 11:16:02 - mmengine - INFO - Epoch(train) [10][680/1879] lr: 1.0000e-02 eta: 2 days, 7:32:04 time: 0.4311 data_time: 0.0203 memory: 17087 grad_norm: 5.1729 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3298 loss: 2.3298 2022/08/03 11:16:11 - mmengine - INFO - Epoch(train) [10][700/1879] lr: 1.0000e-02 eta: 2 days, 7:31:52 time: 0.4238 data_time: 0.0143 memory: 17087 grad_norm: 5.0364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3397 loss: 2.3397 2022/08/03 11:16:19 - mmengine - INFO - Epoch(train) [10][720/1879] lr: 1.0000e-02 eta: 2 days, 7:31:40 time: 0.4257 data_time: 0.0160 memory: 17087 grad_norm: 4.9481 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2597 loss: 2.2597 2022/08/03 11:16:28 - mmengine - INFO - Epoch(train) [10][740/1879] lr: 1.0000e-02 eta: 2 days, 7:31:27 time: 0.4228 data_time: 0.0129 memory: 17087 grad_norm: 4.8461 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1536 loss: 2.1536 2022/08/03 11:16:37 - mmengine - INFO - Epoch(train) [10][760/1879] lr: 1.0000e-02 eta: 2 days, 7:31:24 time: 0.4425 data_time: 0.0160 memory: 17087 grad_norm: 5.0481 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.3120 loss: 2.3120 2022/08/03 11:16:45 - mmengine - INFO - Epoch(train) [10][780/1879] lr: 1.0000e-02 eta: 2 days, 7:31:11 time: 0.4221 data_time: 0.0143 memory: 17087 grad_norm: 4.9361 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2455 loss: 2.2455 2022/08/03 11:16:54 - mmengine - INFO - Epoch(train) [10][800/1879] lr: 1.0000e-02 eta: 2 days, 7:31:03 time: 0.4325 data_time: 0.0147 memory: 17087 grad_norm: 5.0013 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1580 loss: 2.1580 2022/08/03 11:17:03 - mmengine - INFO - Epoch(train) [10][820/1879] lr: 1.0000e-02 eta: 2 days, 7:30:59 time: 0.4408 data_time: 0.0130 memory: 17087 grad_norm: 5.0559 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3610 loss: 2.3610 2022/08/03 11:17:11 - mmengine - INFO - Epoch(train) [10][840/1879] lr: 1.0000e-02 eta: 2 days, 7:30:47 time: 0.4247 data_time: 0.0160 memory: 17087 grad_norm: 5.0129 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1419 loss: 2.1419 2022/08/03 11:17:20 - mmengine - INFO - Epoch(train) [10][860/1879] lr: 1.0000e-02 eta: 2 days, 7:30:44 time: 0.4428 data_time: 0.0143 memory: 17087 grad_norm: 4.9713 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3695 loss: 2.3695 2022/08/03 11:17:28 - mmengine - INFO - Epoch(train) [10][880/1879] lr: 1.0000e-02 eta: 2 days, 7:30:31 time: 0.4233 data_time: 0.0146 memory: 17087 grad_norm: 4.9035 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9382 loss: 1.9382 2022/08/03 11:17:37 - mmengine - INFO - Epoch(train) [10][900/1879] lr: 1.0000e-02 eta: 2 days, 7:30:20 time: 0.4269 data_time: 0.0145 memory: 17087 grad_norm: 4.8801 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1762 loss: 2.1762 2022/08/03 11:17:45 - mmengine - INFO - Epoch(train) [10][920/1879] lr: 1.0000e-02 eta: 2 days, 7:30:07 time: 0.4227 data_time: 0.0147 memory: 17087 grad_norm: 5.0167 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2736 loss: 2.2736 2022/08/03 11:17:54 - mmengine - INFO - Epoch(train) [10][940/1879] lr: 1.0000e-02 eta: 2 days, 7:29:56 time: 0.4272 data_time: 0.0183 memory: 17087 grad_norm: 5.0866 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2022 loss: 2.2022 2022/08/03 11:18:02 - mmengine - INFO - Epoch(train) [10][960/1879] lr: 1.0000e-02 eta: 2 days, 7:29:44 time: 0.4249 data_time: 0.0144 memory: 17087 grad_norm: 4.9337 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2094 loss: 2.2094 2022/08/03 11:18:11 - mmengine - INFO - Epoch(train) [10][980/1879] lr: 1.0000e-02 eta: 2 days, 7:29:31 time: 0.4223 data_time: 0.0142 memory: 17087 grad_norm: 5.0808 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.1684 loss: 2.1684 2022/08/03 11:18:20 - mmengine - INFO - Epoch(train) [10][1000/1879] lr: 1.0000e-02 eta: 2 days, 7:29:26 time: 0.4381 data_time: 0.0155 memory: 17087 grad_norm: 5.0185 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3486 loss: 2.3486 2022/08/03 11:18:28 - mmengine - INFO - Epoch(train) [10][1020/1879] lr: 1.0000e-02 eta: 2 days, 7:29:13 time: 0.4234 data_time: 0.0165 memory: 17087 grad_norm: 4.8711 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1204 loss: 2.1204 2022/08/03 11:18:37 - mmengine - INFO - Epoch(train) [10][1040/1879] lr: 1.0000e-02 eta: 2 days, 7:29:05 time: 0.4315 data_time: 0.0146 memory: 17087 grad_norm: 5.1263 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2073 loss: 2.2073 2022/08/03 11:18:45 - mmengine - INFO - Epoch(train) [10][1060/1879] lr: 1.0000e-02 eta: 2 days, 7:28:52 time: 0.4228 data_time: 0.0138 memory: 17087 grad_norm: 5.1484 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.3095 loss: 2.3095 2022/08/03 11:18:54 - mmengine - INFO - Epoch(train) [10][1080/1879] lr: 1.0000e-02 eta: 2 days, 7:28:42 time: 0.4290 data_time: 0.0206 memory: 17087 grad_norm: 4.8430 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0889 loss: 2.0889 2022/08/03 11:18:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:19:02 - mmengine - INFO - Epoch(train) [10][1100/1879] lr: 1.0000e-02 eta: 2 days, 7:28:31 time: 0.4266 data_time: 0.0138 memory: 17087 grad_norm: 5.0826 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1943 loss: 2.1943 2022/08/03 11:19:11 - mmengine - INFO - Epoch(train) [10][1120/1879] lr: 1.0000e-02 eta: 2 days, 7:28:19 time: 0.4252 data_time: 0.0161 memory: 17087 grad_norm: 5.0277 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3425 loss: 2.3425 2022/08/03 11:19:20 - mmengine - INFO - Epoch(train) [10][1140/1879] lr: 1.0000e-02 eta: 2 days, 7:28:15 time: 0.4413 data_time: 0.0148 memory: 17087 grad_norm: 4.9979 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3221 loss: 2.3221 2022/08/03 11:19:28 - mmengine - INFO - Epoch(train) [10][1160/1879] lr: 1.0000e-02 eta: 2 days, 7:28:05 time: 0.4282 data_time: 0.0166 memory: 17087 grad_norm: 4.9648 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8518 loss: 1.8518 2022/08/03 11:19:37 - mmengine - INFO - Epoch(train) [10][1180/1879] lr: 1.0000e-02 eta: 2 days, 7:28:05 time: 0.4479 data_time: 0.0210 memory: 17087 grad_norm: 5.0687 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.4170 loss: 2.4170 2022/08/03 11:19:46 - mmengine - INFO - Epoch(train) [10][1200/1879] lr: 1.0000e-02 eta: 2 days, 7:27:52 time: 0.4236 data_time: 0.0138 memory: 17087 grad_norm: 4.9915 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.3342 loss: 2.3342 2022/08/03 11:19:54 - mmengine - INFO - Epoch(train) [10][1220/1879] lr: 1.0000e-02 eta: 2 days, 7:27:40 time: 0.4236 data_time: 0.0147 memory: 17087 grad_norm: 5.0809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.2280 loss: 2.2280 2022/08/03 11:20:03 - mmengine - INFO - Epoch(train) [10][1240/1879] lr: 1.0000e-02 eta: 2 days, 7:27:30 time: 0.4295 data_time: 0.0165 memory: 17087 grad_norm: 5.0823 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.1613 loss: 2.1613 2022/08/03 11:20:11 - mmengine - INFO - Epoch(train) [10][1260/1879] lr: 1.0000e-02 eta: 2 days, 7:27:22 time: 0.4319 data_time: 0.0151 memory: 17087 grad_norm: 5.1484 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.1877 loss: 2.1877 2022/08/03 11:20:20 - mmengine - INFO - Epoch(train) [10][1280/1879] lr: 1.0000e-02 eta: 2 days, 7:27:10 time: 0.4252 data_time: 0.0153 memory: 17087 grad_norm: 5.0412 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0987 loss: 2.0987 2022/08/03 11:20:28 - mmengine - INFO - Epoch(train) [10][1300/1879] lr: 1.0000e-02 eta: 2 days, 7:27:01 time: 0.4309 data_time: 0.0213 memory: 17087 grad_norm: 4.9992 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1383 loss: 2.1383 2022/08/03 11:20:37 - mmengine - INFO - Epoch(train) [10][1320/1879] lr: 1.0000e-02 eta: 2 days, 7:26:53 time: 0.4316 data_time: 0.0158 memory: 17087 grad_norm: 5.0197 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3065 loss: 2.3065 2022/08/03 11:20:46 - mmengine - INFO - Epoch(train) [10][1340/1879] lr: 1.0000e-02 eta: 2 days, 7:26:41 time: 0.4247 data_time: 0.0145 memory: 17087 grad_norm: 5.2003 top1_acc: 0.1250 top5_acc: 0.5625 loss_cls: 2.2525 loss: 2.2525 2022/08/03 11:20:54 - mmengine - INFO - Epoch(train) [10][1360/1879] lr: 1.0000e-02 eta: 2 days, 7:26:28 time: 0.4234 data_time: 0.0157 memory: 17087 grad_norm: 5.0442 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1890 loss: 2.1890 2022/08/03 11:21:02 - mmengine - INFO - Epoch(train) [10][1380/1879] lr: 1.0000e-02 eta: 2 days, 7:26:16 time: 0.4238 data_time: 0.0125 memory: 17087 grad_norm: 5.1572 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.4528 loss: 2.4528 2022/08/03 11:21:11 - mmengine - INFO - Epoch(train) [10][1400/1879] lr: 1.0000e-02 eta: 2 days, 7:26:04 time: 0.4250 data_time: 0.0173 memory: 17087 grad_norm: 5.0027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0914 loss: 2.0914 2022/08/03 11:21:20 - mmengine - INFO - Epoch(train) [10][1420/1879] lr: 1.0000e-02 eta: 2 days, 7:25:58 time: 0.4363 data_time: 0.0121 memory: 17087 grad_norm: 5.0646 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.2702 loss: 2.2702 2022/08/03 11:21:28 - mmengine - INFO - Epoch(train) [10][1440/1879] lr: 1.0000e-02 eta: 2 days, 7:25:46 time: 0.4247 data_time: 0.0178 memory: 17087 grad_norm: 5.0699 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2552 loss: 2.2552 2022/08/03 11:21:37 - mmengine - INFO - Epoch(train) [10][1460/1879] lr: 1.0000e-02 eta: 2 days, 7:25:44 time: 0.4440 data_time: 0.0138 memory: 17087 grad_norm: 4.9192 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1770 loss: 2.1770 2022/08/03 11:21:46 - mmengine - INFO - Epoch(train) [10][1480/1879] lr: 1.0000e-02 eta: 2 days, 7:25:32 time: 0.4247 data_time: 0.0147 memory: 17087 grad_norm: 5.0335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0814 loss: 2.0814 2022/08/03 11:21:54 - mmengine - INFO - Epoch(train) [10][1500/1879] lr: 1.0000e-02 eta: 2 days, 7:25:19 time: 0.4235 data_time: 0.0139 memory: 17087 grad_norm: 4.9429 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1693 loss: 2.1693 2022/08/03 11:22:03 - mmengine - INFO - Epoch(train) [10][1520/1879] lr: 1.0000e-02 eta: 2 days, 7:25:10 time: 0.4292 data_time: 0.0154 memory: 17087 grad_norm: 5.0557 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.3059 loss: 2.3059 2022/08/03 11:22:11 - mmengine - INFO - Epoch(train) [10][1540/1879] lr: 1.0000e-02 eta: 2 days, 7:24:57 time: 0.4239 data_time: 0.0139 memory: 17087 grad_norm: 4.8479 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0932 loss: 2.0932 2022/08/03 11:22:20 - mmengine - INFO - Epoch(train) [10][1560/1879] lr: 1.0000e-02 eta: 2 days, 7:24:45 time: 0.4241 data_time: 0.0154 memory: 17087 grad_norm: 4.9531 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2005 loss: 2.2005 2022/08/03 11:22:28 - mmengine - INFO - Epoch(train) [10][1580/1879] lr: 1.0000e-02 eta: 2 days, 7:24:32 time: 0.4217 data_time: 0.0140 memory: 17087 grad_norm: 4.9351 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.3149 loss: 2.3149 2022/08/03 11:22:37 - mmengine - INFO - Epoch(train) [10][1600/1879] lr: 1.0000e-02 eta: 2 days, 7:24:20 time: 0.4257 data_time: 0.0160 memory: 17087 grad_norm: 5.0309 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2544 loss: 2.2544 2022/08/03 11:22:45 - mmengine - INFO - Epoch(train) [10][1620/1879] lr: 1.0000e-02 eta: 2 days, 7:24:08 time: 0.4236 data_time: 0.0136 memory: 17087 grad_norm: 4.9615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1772 loss: 2.1772 2022/08/03 11:22:54 - mmengine - INFO - Epoch(train) [10][1640/1879] lr: 1.0000e-02 eta: 2 days, 7:23:56 time: 0.4246 data_time: 0.0145 memory: 17087 grad_norm: 4.9474 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1463 loss: 2.1463 2022/08/03 11:23:02 - mmengine - INFO - Epoch(train) [10][1660/1879] lr: 1.0000e-02 eta: 2 days, 7:23:53 time: 0.4434 data_time: 0.0191 memory: 17087 grad_norm: 4.9404 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1408 loss: 2.1408 2022/08/03 11:23:11 - mmengine - INFO - Epoch(train) [10][1680/1879] lr: 1.0000e-02 eta: 2 days, 7:23:40 time: 0.4227 data_time: 0.0146 memory: 17087 grad_norm: 4.9212 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1151 loss: 2.1151 2022/08/03 11:23:19 - mmengine - INFO - Epoch(train) [10][1700/1879] lr: 1.0000e-02 eta: 2 days, 7:23:32 time: 0.4310 data_time: 0.0170 memory: 17087 grad_norm: 4.9445 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.3503 loss: 2.3503 2022/08/03 11:23:28 - mmengine - INFO - Epoch(train) [10][1720/1879] lr: 1.0000e-02 eta: 2 days, 7:23:20 time: 0.4250 data_time: 0.0147 memory: 17087 grad_norm: 4.9182 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.3388 loss: 2.3388 2022/08/03 11:23:37 - mmengine - INFO - Epoch(train) [10][1740/1879] lr: 1.0000e-02 eta: 2 days, 7:23:10 time: 0.4281 data_time: 0.0128 memory: 17087 grad_norm: 5.0027 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.3473 loss: 2.3473 2022/08/03 11:23:45 - mmengine - INFO - Epoch(train) [10][1760/1879] lr: 1.0000e-02 eta: 2 days, 7:22:58 time: 0.4243 data_time: 0.0146 memory: 17087 grad_norm: 4.9028 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2277 loss: 2.2277 2022/08/03 11:23:53 - mmengine - INFO - Epoch(train) [10][1780/1879] lr: 1.0000e-02 eta: 2 days, 7:22:45 time: 0.4226 data_time: 0.0128 memory: 17087 grad_norm: 4.9410 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.4038 loss: 2.4038 2022/08/03 11:24:02 - mmengine - INFO - Epoch(train) [10][1800/1879] lr: 1.0000e-02 eta: 2 days, 7:22:38 time: 0.4358 data_time: 0.0178 memory: 17087 grad_norm: 5.0349 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2409 loss: 2.2409 2022/08/03 11:24:11 - mmengine - INFO - Epoch(train) [10][1820/1879] lr: 1.0000e-02 eta: 2 days, 7:22:26 time: 0.4243 data_time: 0.0136 memory: 17087 grad_norm: 5.0178 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 2.1870 loss: 2.1870 2022/08/03 11:24:19 - mmengine - INFO - Epoch(train) [10][1840/1879] lr: 1.0000e-02 eta: 2 days, 7:22:21 time: 0.4375 data_time: 0.0176 memory: 17087 grad_norm: 5.0507 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2686 loss: 2.2686 2022/08/03 11:24:28 - mmengine - INFO - Epoch(train) [10][1860/1879] lr: 1.0000e-02 eta: 2 days, 7:22:11 time: 0.4281 data_time: 0.0190 memory: 17087 grad_norm: 4.9118 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.3326 loss: 2.3326 2022/08/03 11:24:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:24:36 - mmengine - INFO - Epoch(train) [10][1879/1879] lr: 1.0000e-02 eta: 2 days, 7:22:11 time: 0.4041 data_time: 0.0129 memory: 17087 grad_norm: 5.0317 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.1455 loss: 2.1455 2022/08/03 11:24:43 - mmengine - INFO - Epoch(val) [10][20/155] eta: 0:00:49 time: 0.3649 data_time: 0.1931 memory: 2821 2022/08/03 11:24:48 - mmengine - INFO - Epoch(val) [10][40/155] eta: 0:00:28 time: 0.2499 data_time: 0.0823 memory: 2821 2022/08/03 11:24:54 - mmengine - INFO - Epoch(val) [10][60/155] eta: 0:00:29 time: 0.3140 data_time: 0.1494 memory: 2821 2022/08/03 11:25:00 - mmengine - INFO - Epoch(val) [10][80/155] eta: 0:00:20 time: 0.2679 data_time: 0.1015 memory: 2821 2022/08/03 11:25:06 - mmengine - INFO - Epoch(val) [10][100/155] eta: 0:00:18 time: 0.3305 data_time: 0.1598 memory: 2821 2022/08/03 11:25:11 - mmengine - INFO - Epoch(val) [10][120/155] eta: 0:00:09 time: 0.2584 data_time: 0.0901 memory: 2821 2022/08/03 11:25:18 - mmengine - INFO - Epoch(val) [10][140/155] eta: 0:00:04 time: 0.3315 data_time: 0.1603 memory: 2821 2022/08/03 11:25:24 - mmengine - INFO - Epoch(val) [10][155/155] acc/top1: 0.5722 acc/top5: 0.8123 acc/mean1: 0.5720 2022/08/03 11:25:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_6.pth is removed 2022/08/03 11:25:26 - mmengine - INFO - The best checkpoint with 0.5722 acc/top1 at 11 epoch is saved to best_acc/top1_epoch_11.pth. 2022/08/03 11:25:37 - mmengine - INFO - Epoch(train) [11][20/1879] lr: 1.0000e-02 eta: 2 days, 7:19:14 time: 0.5163 data_time: 0.1067 memory: 17087 grad_norm: 4.9295 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0921 loss: 2.0921 2022/08/03 11:25:45 - mmengine - INFO - Epoch(train) [11][40/1879] lr: 1.0000e-02 eta: 2 days, 7:19:03 time: 0.4244 data_time: 0.0195 memory: 17087 grad_norm: 5.0068 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0466 loss: 2.0466 2022/08/03 11:25:54 - mmengine - INFO - Epoch(train) [11][60/1879] lr: 1.0000e-02 eta: 2 days, 7:18:49 time: 0.4217 data_time: 0.0145 memory: 17087 grad_norm: 5.0291 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.3270 loss: 2.3270 2022/08/03 11:26:02 - mmengine - INFO - Epoch(train) [11][80/1879] lr: 1.0000e-02 eta: 2 days, 7:18:38 time: 0.4250 data_time: 0.0138 memory: 17087 grad_norm: 4.8996 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2273 loss: 2.2273 2022/08/03 11:26:11 - mmengine - INFO - Epoch(train) [11][100/1879] lr: 1.0000e-02 eta: 2 days, 7:18:27 time: 0.4263 data_time: 0.0148 memory: 17087 grad_norm: 5.0142 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2138 loss: 2.2138 2022/08/03 11:26:19 - mmengine - INFO - Epoch(train) [11][120/1879] lr: 1.0000e-02 eta: 2 days, 7:18:15 time: 0.4246 data_time: 0.0157 memory: 17087 grad_norm: 4.8909 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0730 loss: 2.0730 2022/08/03 11:26:28 - mmengine - INFO - Epoch(train) [11][140/1879] lr: 1.0000e-02 eta: 2 days, 7:18:03 time: 0.4226 data_time: 0.0151 memory: 17087 grad_norm: 4.9542 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0662 loss: 2.0662 2022/08/03 11:26:36 - mmengine - INFO - Epoch(train) [11][160/1879] lr: 1.0000e-02 eta: 2 days, 7:17:54 time: 0.4299 data_time: 0.0160 memory: 17087 grad_norm: 4.8973 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2530 loss: 2.2530 2022/08/03 11:26:45 - mmengine - INFO - Epoch(train) [11][180/1879] lr: 1.0000e-02 eta: 2 days, 7:17:52 time: 0.4454 data_time: 0.0136 memory: 17087 grad_norm: 4.9700 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1806 loss: 2.1806 2022/08/03 11:26:54 - mmengine - INFO - Epoch(train) [11][200/1879] lr: 1.0000e-02 eta: 2 days, 7:17:42 time: 0.4268 data_time: 0.0164 memory: 17087 grad_norm: 4.9935 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2030 loss: 2.2030 2022/08/03 11:26:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:27:02 - mmengine - INFO - Epoch(train) [11][220/1879] lr: 1.0000e-02 eta: 2 days, 7:17:29 time: 0.4218 data_time: 0.0168 memory: 17087 grad_norm: 4.9196 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.4461 loss: 2.4461 2022/08/03 11:27:11 - mmengine - INFO - Epoch(train) [11][240/1879] lr: 1.0000e-02 eta: 2 days, 7:17:17 time: 0.4246 data_time: 0.0152 memory: 17087 grad_norm: 4.9799 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0289 loss: 2.0289 2022/08/03 11:27:20 - mmengine - INFO - Epoch(train) [11][260/1879] lr: 1.0000e-02 eta: 2 days, 7:17:14 time: 0.4430 data_time: 0.0165 memory: 17087 grad_norm: 4.8745 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1089 loss: 2.1089 2022/08/03 11:27:28 - mmengine - INFO - Epoch(train) [11][280/1879] lr: 1.0000e-02 eta: 2 days, 7:17:05 time: 0.4296 data_time: 0.0222 memory: 17087 grad_norm: 4.9242 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0447 loss: 2.0447 2022/08/03 11:27:37 - mmengine - INFO - Epoch(train) [11][300/1879] lr: 1.0000e-02 eta: 2 days, 7:17:01 time: 0.4413 data_time: 0.0144 memory: 17087 grad_norm: 4.9235 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9458 loss: 1.9458 2022/08/03 11:27:45 - mmengine - INFO - Epoch(train) [11][320/1879] lr: 1.0000e-02 eta: 2 days, 7:16:49 time: 0.4221 data_time: 0.0156 memory: 17087 grad_norm: 4.9609 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2348 loss: 2.2348 2022/08/03 11:27:54 - mmengine - INFO - Epoch(train) [11][340/1879] lr: 1.0000e-02 eta: 2 days, 7:16:36 time: 0.4220 data_time: 0.0137 memory: 17087 grad_norm: 4.7919 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2119 loss: 2.2119 2022/08/03 11:28:02 - mmengine - INFO - Epoch(train) [11][360/1879] lr: 1.0000e-02 eta: 2 days, 7:16:25 time: 0.4265 data_time: 0.0159 memory: 17087 grad_norm: 4.9521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2432 loss: 2.2432 2022/08/03 11:28:11 - mmengine - INFO - Epoch(train) [11][380/1879] lr: 1.0000e-02 eta: 2 days, 7:16:15 time: 0.4289 data_time: 0.0136 memory: 17087 grad_norm: 4.9909 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1219 loss: 2.1219 2022/08/03 11:28:19 - mmengine - INFO - Epoch(train) [11][400/1879] lr: 1.0000e-02 eta: 2 days, 7:16:05 time: 0.4269 data_time: 0.0145 memory: 17087 grad_norm: 4.8098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3698 loss: 2.3698 2022/08/03 11:28:28 - mmengine - INFO - Epoch(train) [11][420/1879] lr: 1.0000e-02 eta: 2 days, 7:15:53 time: 0.4238 data_time: 0.0136 memory: 17087 grad_norm: 4.9256 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1658 loss: 2.1658 2022/08/03 11:28:36 - mmengine - INFO - Epoch(train) [11][440/1879] lr: 1.0000e-02 eta: 2 days, 7:15:41 time: 0.4240 data_time: 0.0160 memory: 17087 grad_norm: 4.9687 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0810 loss: 2.0810 2022/08/03 11:28:45 - mmengine - INFO - Epoch(train) [11][460/1879] lr: 1.0000e-02 eta: 2 days, 7:15:28 time: 0.4223 data_time: 0.0127 memory: 17087 grad_norm: 5.0192 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1460 loss: 2.1460 2022/08/03 11:28:53 - mmengine - INFO - Epoch(train) [11][480/1879] lr: 1.0000e-02 eta: 2 days, 7:15:17 time: 0.4243 data_time: 0.0163 memory: 17087 grad_norm: 4.8336 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9831 loss: 1.9831 2022/08/03 11:29:02 - mmengine - INFO - Epoch(train) [11][500/1879] lr: 1.0000e-02 eta: 2 days, 7:15:14 time: 0.4439 data_time: 0.0147 memory: 17087 grad_norm: 5.1118 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.2164 loss: 2.2164 2022/08/03 11:29:11 - mmengine - INFO - Epoch(train) [11][520/1879] lr: 1.0000e-02 eta: 2 days, 7:15:02 time: 0.4235 data_time: 0.0165 memory: 17087 grad_norm: 5.0644 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.3384 loss: 2.3384 2022/08/03 11:29:20 - mmengine - INFO - Epoch(train) [11][540/1879] lr: 1.0000e-02 eta: 2 days, 7:15:08 time: 0.4604 data_time: 0.0155 memory: 17087 grad_norm: 4.8850 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0758 loss: 2.0758 2022/08/03 11:29:29 - mmengine - INFO - Epoch(train) [11][560/1879] lr: 1.0000e-02 eta: 2 days, 7:14:56 time: 0.4240 data_time: 0.0174 memory: 17087 grad_norm: 4.9821 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0026 loss: 2.0026 2022/08/03 11:29:37 - mmengine - INFO - Epoch(train) [11][580/1879] lr: 1.0000e-02 eta: 2 days, 7:14:50 time: 0.4369 data_time: 0.0213 memory: 17087 grad_norm: 4.9810 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2178 loss: 2.2178 2022/08/03 11:29:46 - mmengine - INFO - Epoch(train) [11][600/1879] lr: 1.0000e-02 eta: 2 days, 7:14:38 time: 0.4229 data_time: 0.0153 memory: 17087 grad_norm: 5.0455 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0381 loss: 2.0381 2022/08/03 11:29:54 - mmengine - INFO - Epoch(train) [11][620/1879] lr: 1.0000e-02 eta: 2 days, 7:14:25 time: 0.4227 data_time: 0.0161 memory: 17087 grad_norm: 4.9759 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9834 loss: 1.9834 2022/08/03 11:30:03 - mmengine - INFO - Epoch(train) [11][640/1879] lr: 1.0000e-02 eta: 2 days, 7:14:21 time: 0.4404 data_time: 0.0166 memory: 17087 grad_norm: 4.9115 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1114 loss: 2.1114 2022/08/03 11:30:11 - mmengine - INFO - Epoch(train) [11][660/1879] lr: 1.0000e-02 eta: 2 days, 7:14:09 time: 0.4234 data_time: 0.0149 memory: 17087 grad_norm: 4.9174 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0107 loss: 2.0107 2022/08/03 11:30:20 - mmengine - INFO - Epoch(train) [11][680/1879] lr: 1.0000e-02 eta: 2 days, 7:14:06 time: 0.4432 data_time: 0.0168 memory: 17087 grad_norm: 4.8730 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2872 loss: 2.2872 2022/08/03 11:30:29 - mmengine - INFO - Epoch(train) [11][700/1879] lr: 1.0000e-02 eta: 2 days, 7:13:53 time: 0.4216 data_time: 0.0143 memory: 17087 grad_norm: 4.8514 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1092 loss: 2.1092 2022/08/03 11:30:38 - mmengine - INFO - Epoch(train) [11][720/1879] lr: 1.0000e-02 eta: 2 days, 7:13:51 time: 0.4436 data_time: 0.0167 memory: 17087 grad_norm: 5.0041 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.3673 loss: 2.3673 2022/08/03 11:30:46 - mmengine - INFO - Epoch(train) [11][740/1879] lr: 1.0000e-02 eta: 2 days, 7:13:39 time: 0.4244 data_time: 0.0140 memory: 17087 grad_norm: 5.0427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2997 loss: 2.2997 2022/08/03 11:30:54 - mmengine - INFO - Epoch(train) [11][760/1879] lr: 1.0000e-02 eta: 2 days, 7:13:27 time: 0.4225 data_time: 0.0148 memory: 17087 grad_norm: 4.9113 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0261 loss: 2.0261 2022/08/03 11:31:03 - mmengine - INFO - Epoch(train) [11][780/1879] lr: 1.0000e-02 eta: 2 days, 7:13:18 time: 0.4313 data_time: 0.0149 memory: 17087 grad_norm: 5.0173 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9821 loss: 1.9821 2022/08/03 11:31:12 - mmengine - INFO - Epoch(train) [11][800/1879] lr: 1.0000e-02 eta: 2 days, 7:13:08 time: 0.4270 data_time: 0.0164 memory: 17087 grad_norm: 4.8550 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2531 loss: 2.2531 2022/08/03 11:31:20 - mmengine - INFO - Epoch(train) [11][820/1879] lr: 1.0000e-02 eta: 2 days, 7:12:57 time: 0.4257 data_time: 0.0170 memory: 17087 grad_norm: 4.8093 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0738 loss: 2.0738 2022/08/03 11:31:29 - mmengine - INFO - Epoch(train) [11][840/1879] lr: 1.0000e-02 eta: 2 days, 7:12:46 time: 0.4263 data_time: 0.0161 memory: 17087 grad_norm: 5.0190 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1971 loss: 2.1971 2022/08/03 11:31:37 - mmengine - INFO - Epoch(train) [11][860/1879] lr: 1.0000e-02 eta: 2 days, 7:12:38 time: 0.4323 data_time: 0.0179 memory: 17087 grad_norm: 4.9715 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.3250 loss: 2.3250 2022/08/03 11:31:46 - mmengine - INFO - Epoch(train) [11][880/1879] lr: 1.0000e-02 eta: 2 days, 7:12:25 time: 0.4213 data_time: 0.0152 memory: 17087 grad_norm: 4.9634 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2750 loss: 2.2750 2022/08/03 11:31:54 - mmengine - INFO - Epoch(train) [11][900/1879] lr: 1.0000e-02 eta: 2 days, 7:12:14 time: 0.4247 data_time: 0.0150 memory: 17087 grad_norm: 5.0039 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.2073 loss: 2.2073 2022/08/03 11:32:03 - mmengine - INFO - Epoch(train) [11][920/1879] lr: 1.0000e-02 eta: 2 days, 7:12:02 time: 0.4251 data_time: 0.0151 memory: 17087 grad_norm: 4.9099 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.5230 loss: 2.5230 2022/08/03 11:32:11 - mmengine - INFO - Epoch(train) [11][940/1879] lr: 1.0000e-02 eta: 2 days, 7:11:50 time: 0.4238 data_time: 0.0158 memory: 17087 grad_norm: 4.8946 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 2.2493 loss: 2.2493 2022/08/03 11:32:20 - mmengine - INFO - Epoch(train) [11][960/1879] lr: 1.0000e-02 eta: 2 days, 7:11:40 time: 0.4264 data_time: 0.0152 memory: 17087 grad_norm: 4.9551 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0675 loss: 2.0675 2022/08/03 11:32:28 - mmengine - INFO - Epoch(train) [11][980/1879] lr: 1.0000e-02 eta: 2 days, 7:11:28 time: 0.4232 data_time: 0.0142 memory: 17087 grad_norm: 4.9226 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0464 loss: 2.0464 2022/08/03 11:32:37 - mmengine - INFO - Epoch(train) [11][1000/1879] lr: 1.0000e-02 eta: 2 days, 7:11:17 time: 0.4257 data_time: 0.0150 memory: 17087 grad_norm: 4.9353 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0721 loss: 2.0721 2022/08/03 11:32:45 - mmengine - INFO - Epoch(train) [11][1020/1879] lr: 1.0000e-02 eta: 2 days, 7:11:04 time: 0.4218 data_time: 0.0133 memory: 17087 grad_norm: 5.0052 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3607 loss: 2.3607 2022/08/03 11:32:54 - mmengine - INFO - Epoch(train) [11][1040/1879] lr: 1.0000e-02 eta: 2 days, 7:10:52 time: 0.4248 data_time: 0.0146 memory: 17087 grad_norm: 4.8615 top1_acc: 0.1250 top5_acc: 0.6250 loss_cls: 2.1732 loss: 2.1732 2022/08/03 11:33:02 - mmengine - INFO - Epoch(train) [11][1060/1879] lr: 1.0000e-02 eta: 2 days, 7:10:43 time: 0.4283 data_time: 0.0150 memory: 17087 grad_norm: 4.9483 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1013 loss: 2.1013 2022/08/03 11:33:11 - mmengine - INFO - Epoch(train) [11][1080/1879] lr: 1.0000e-02 eta: 2 days, 7:10:32 time: 0.4254 data_time: 0.0164 memory: 17087 grad_norm: 4.8771 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.1220 loss: 2.1220 2022/08/03 11:33:19 - mmengine - INFO - Epoch(train) [11][1100/1879] lr: 1.0000e-02 eta: 2 days, 7:10:19 time: 0.4229 data_time: 0.0155 memory: 17087 grad_norm: 4.9874 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2828 loss: 2.2828 2022/08/03 11:33:28 - mmengine - INFO - Epoch(train) [11][1120/1879] lr: 1.0000e-02 eta: 2 days, 7:10:12 time: 0.4328 data_time: 0.0166 memory: 17087 grad_norm: 4.8851 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1714 loss: 2.1714 2022/08/03 11:33:36 - mmengine - INFO - Epoch(train) [11][1140/1879] lr: 1.0000e-02 eta: 2 days, 7:09:59 time: 0.4227 data_time: 0.0135 memory: 17087 grad_norm: 4.9182 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.0404 loss: 2.0404 2022/08/03 11:33:45 - mmengine - INFO - Epoch(train) [11][1160/1879] lr: 1.0000e-02 eta: 2 days, 7:09:52 time: 0.4335 data_time: 0.0224 memory: 17087 grad_norm: 4.8613 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1880 loss: 2.1880 2022/08/03 11:33:53 - mmengine - INFO - Epoch(train) [11][1180/1879] lr: 1.0000e-02 eta: 2 days, 7:09:40 time: 0.4231 data_time: 0.0135 memory: 17087 grad_norm: 4.9890 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1678 loss: 2.1678 2022/08/03 11:34:03 - mmengine - INFO - Epoch(train) [11][1200/1879] lr: 1.0000e-02 eta: 2 days, 7:09:42 time: 0.4551 data_time: 0.0174 memory: 17087 grad_norm: 4.9252 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1408 loss: 2.1408 2022/08/03 11:34:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:34:13 - mmengine - INFO - Epoch(train) [11][1220/1879] lr: 1.0000e-02 eta: 2 days, 7:10:08 time: 0.5056 data_time: 0.0143 memory: 17087 grad_norm: 4.8925 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.3795 loss: 2.3795 2022/08/03 11:34:21 - mmengine - INFO - Epoch(train) [11][1240/1879] lr: 1.0000e-02 eta: 2 days, 7:09:59 time: 0.4295 data_time: 0.0166 memory: 17087 grad_norm: 4.9294 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1559 loss: 2.1559 2022/08/03 11:34:30 - mmengine - INFO - Epoch(train) [11][1260/1879] lr: 1.0000e-02 eta: 2 days, 7:09:47 time: 0.4238 data_time: 0.0131 memory: 17087 grad_norm: 4.8196 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.2919 loss: 2.2919 2022/08/03 11:34:38 - mmengine - INFO - Epoch(train) [11][1280/1879] lr: 1.0000e-02 eta: 2 days, 7:09:39 time: 0.4319 data_time: 0.0176 memory: 17087 grad_norm: 4.9647 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2472 loss: 2.2472 2022/08/03 11:34:47 - mmengine - INFO - Epoch(train) [11][1300/1879] lr: 1.0000e-02 eta: 2 days, 7:09:27 time: 0.4219 data_time: 0.0143 memory: 17087 grad_norm: 4.8347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1997 loss: 2.1997 2022/08/03 11:34:55 - mmengine - INFO - Epoch(train) [11][1320/1879] lr: 1.0000e-02 eta: 2 days, 7:09:16 time: 0.4266 data_time: 0.0172 memory: 17087 grad_norm: 4.9326 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0763 loss: 2.0763 2022/08/03 11:35:04 - mmengine - INFO - Epoch(train) [11][1340/1879] lr: 1.0000e-02 eta: 2 days, 7:09:03 time: 0.4218 data_time: 0.0137 memory: 17087 grad_norm: 4.8221 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2013 loss: 2.2013 2022/08/03 11:35:12 - mmengine - INFO - Epoch(train) [11][1360/1879] lr: 1.0000e-02 eta: 2 days, 7:08:52 time: 0.4248 data_time: 0.0168 memory: 17087 grad_norm: 4.8990 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2613 loss: 2.2613 2022/08/03 11:35:21 - mmengine - INFO - Epoch(train) [11][1380/1879] lr: 1.0000e-02 eta: 2 days, 7:08:47 time: 0.4388 data_time: 0.0124 memory: 17087 grad_norm: 4.9515 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.3139 loss: 2.3139 2022/08/03 11:35:30 - mmengine - INFO - Epoch(train) [11][1400/1879] lr: 1.0000e-02 eta: 2 days, 7:08:37 time: 0.4273 data_time: 0.0189 memory: 17087 grad_norm: 4.7247 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0732 loss: 2.0732 2022/08/03 11:35:38 - mmengine - INFO - Epoch(train) [11][1420/1879] lr: 1.0000e-02 eta: 2 days, 7:08:25 time: 0.4241 data_time: 0.0139 memory: 17087 grad_norm: 4.8242 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4099 loss: 2.4099 2022/08/03 11:35:47 - mmengine - INFO - Epoch(train) [11][1440/1879] lr: 1.0000e-02 eta: 2 days, 7:08:12 time: 0.4215 data_time: 0.0156 memory: 17087 grad_norm: 4.8672 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1814 loss: 2.1814 2022/08/03 11:35:55 - mmengine - INFO - Epoch(train) [11][1460/1879] lr: 1.0000e-02 eta: 2 days, 7:08:08 time: 0.4402 data_time: 0.0149 memory: 17087 grad_norm: 4.8853 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.2933 loss: 2.2933 2022/08/03 11:36:04 - mmengine - INFO - Epoch(train) [11][1480/1879] lr: 1.0000e-02 eta: 2 days, 7:07:57 time: 0.4250 data_time: 0.0147 memory: 17087 grad_norm: 4.8553 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.2207 loss: 2.2207 2022/08/03 11:36:13 - mmengine - INFO - Epoch(train) [11][1500/1879] lr: 1.0000e-02 eta: 2 days, 7:07:54 time: 0.4438 data_time: 0.0133 memory: 17087 grad_norm: 4.8216 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9869 loss: 1.9869 2022/08/03 11:36:21 - mmengine - INFO - Epoch(train) [11][1520/1879] lr: 1.0000e-02 eta: 2 days, 7:07:43 time: 0.4263 data_time: 0.0155 memory: 17087 grad_norm: 4.8247 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2404 loss: 2.2404 2022/08/03 11:36:30 - mmengine - INFO - Epoch(train) [11][1540/1879] lr: 1.0000e-02 eta: 2 days, 7:07:32 time: 0.4245 data_time: 0.0138 memory: 17087 grad_norm: 5.0515 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.3344 loss: 2.3344 2022/08/03 11:36:38 - mmengine - INFO - Epoch(train) [11][1560/1879] lr: 1.0000e-02 eta: 2 days, 7:07:21 time: 0.4257 data_time: 0.0156 memory: 17087 grad_norm: 4.9239 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.2486 loss: 2.2486 2022/08/03 11:36:47 - mmengine - INFO - Epoch(train) [11][1580/1879] lr: 1.0000e-02 eta: 2 days, 7:07:08 time: 0.4213 data_time: 0.0120 memory: 17087 grad_norm: 4.9283 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0996 loss: 2.0996 2022/08/03 11:36:55 - mmengine - INFO - Epoch(train) [11][1600/1879] lr: 1.0000e-02 eta: 2 days, 7:07:04 time: 0.4414 data_time: 0.0164 memory: 17087 grad_norm: 4.9237 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2667 loss: 2.2667 2022/08/03 11:37:04 - mmengine - INFO - Epoch(train) [11][1620/1879] lr: 1.0000e-02 eta: 2 days, 7:06:52 time: 0.4220 data_time: 0.0145 memory: 17087 grad_norm: 4.7712 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0676 loss: 2.0676 2022/08/03 11:37:13 - mmengine - INFO - Epoch(train) [11][1640/1879] lr: 1.0000e-02 eta: 2 days, 7:06:48 time: 0.4408 data_time: 0.0159 memory: 17087 grad_norm: 4.9021 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 2.1581 loss: 2.1581 2022/08/03 11:37:21 - mmengine - INFO - Epoch(train) [11][1660/1879] lr: 1.0000e-02 eta: 2 days, 7:06:36 time: 0.4247 data_time: 0.0146 memory: 17087 grad_norm: 4.8344 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0340 loss: 2.0340 2022/08/03 11:37:30 - mmengine - INFO - Epoch(train) [11][1680/1879] lr: 1.0000e-02 eta: 2 days, 7:06:26 time: 0.4259 data_time: 0.0166 memory: 17087 grad_norm: 4.8388 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.2740 loss: 2.2740 2022/08/03 11:37:38 - mmengine - INFO - Epoch(train) [11][1700/1879] lr: 1.0000e-02 eta: 2 days, 7:06:14 time: 0.4247 data_time: 0.0140 memory: 17087 grad_norm: 4.8980 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9027 loss: 1.9027 2022/08/03 11:37:47 - mmengine - INFO - Epoch(train) [11][1720/1879] lr: 1.0000e-02 eta: 2 days, 7:06:02 time: 0.4238 data_time: 0.0145 memory: 17087 grad_norm: 4.9551 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.3463 loss: 2.3463 2022/08/03 11:37:56 - mmengine - INFO - Epoch(train) [11][1740/1879] lr: 1.0000e-02 eta: 2 days, 7:06:00 time: 0.4442 data_time: 0.0155 memory: 17087 grad_norm: 4.9843 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1629 loss: 2.1629 2022/08/03 11:38:04 - mmengine - INFO - Epoch(train) [11][1760/1879] lr: 1.0000e-02 eta: 2 days, 7:05:49 time: 0.4246 data_time: 0.0154 memory: 17087 grad_norm: 4.6806 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1326 loss: 2.1326 2022/08/03 11:38:13 - mmengine - INFO - Epoch(train) [11][1780/1879] lr: 1.0000e-02 eta: 2 days, 7:05:38 time: 0.4264 data_time: 0.0147 memory: 17087 grad_norm: 4.9442 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.2011 loss: 2.2011 2022/08/03 11:38:21 - mmengine - INFO - Epoch(train) [11][1800/1879] lr: 1.0000e-02 eta: 2 days, 7:05:26 time: 0.4239 data_time: 0.0150 memory: 17087 grad_norm: 4.8671 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2391 loss: 2.2391 2022/08/03 11:38:30 - mmengine - INFO - Epoch(train) [11][1820/1879] lr: 1.0000e-02 eta: 2 days, 7:05:20 time: 0.4366 data_time: 0.0160 memory: 17087 grad_norm: 4.8336 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9633 loss: 1.9633 2022/08/03 11:38:38 - mmengine - INFO - Epoch(train) [11][1840/1879] lr: 1.0000e-02 eta: 2 days, 7:05:09 time: 0.4249 data_time: 0.0154 memory: 17087 grad_norm: 4.9672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0532 loss: 2.0532 2022/08/03 11:38:47 - mmengine - INFO - Epoch(train) [11][1860/1879] lr: 1.0000e-02 eta: 2 days, 7:04:58 time: 0.4245 data_time: 0.0139 memory: 17087 grad_norm: 4.9584 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3066 loss: 2.3066 2022/08/03 11:38:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:38:55 - mmengine - INFO - Epoch(train) [11][1879/1879] lr: 1.0000e-02 eta: 2 days, 7:04:58 time: 0.4247 data_time: 0.0163 memory: 17087 grad_norm: 4.8987 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.1834 loss: 2.1834 2022/08/03 11:39:06 - mmengine - INFO - Epoch(train) [12][20/1879] lr: 1.0000e-02 eta: 2 days, 7:02:35 time: 0.5573 data_time: 0.0989 memory: 17087 grad_norm: 4.8609 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8483 loss: 1.8483 2022/08/03 11:39:15 - mmengine - INFO - Epoch(train) [12][40/1879] lr: 1.0000e-02 eta: 2 days, 7:02:25 time: 0.4275 data_time: 0.0182 memory: 17087 grad_norm: 4.9911 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0835 loss: 2.0835 2022/08/03 11:39:23 - mmengine - INFO - Epoch(train) [12][60/1879] lr: 1.0000e-02 eta: 2 days, 7:02:14 time: 0.4245 data_time: 0.0124 memory: 17087 grad_norm: 4.7760 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9084 loss: 1.9084 2022/08/03 11:39:32 - mmengine - INFO - Epoch(train) [12][80/1879] lr: 1.0000e-02 eta: 2 days, 7:02:02 time: 0.4234 data_time: 0.0159 memory: 17087 grad_norm: 4.8142 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2221 loss: 2.2221 2022/08/03 11:39:40 - mmengine - INFO - Epoch(train) [12][100/1879] lr: 1.0000e-02 eta: 2 days, 7:01:50 time: 0.4221 data_time: 0.0127 memory: 17087 grad_norm: 4.9442 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0800 loss: 2.0800 2022/08/03 11:39:49 - mmengine - INFO - Epoch(train) [12][120/1879] lr: 1.0000e-02 eta: 2 days, 7:01:39 time: 0.4250 data_time: 0.0161 memory: 17087 grad_norm: 4.9093 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2361 loss: 2.2361 2022/08/03 11:39:57 - mmengine - INFO - Epoch(train) [12][140/1879] lr: 1.0000e-02 eta: 2 days, 7:01:27 time: 0.4224 data_time: 0.0139 memory: 17087 grad_norm: 4.8975 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9842 loss: 1.9842 2022/08/03 11:40:06 - mmengine - INFO - Epoch(train) [12][160/1879] lr: 1.0000e-02 eta: 2 days, 7:01:16 time: 0.4254 data_time: 0.0180 memory: 17087 grad_norm: 4.8800 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.1994 loss: 2.1994 2022/08/03 11:40:14 - mmengine - INFO - Epoch(train) [12][180/1879] lr: 1.0000e-02 eta: 2 days, 7:01:12 time: 0.4413 data_time: 0.0137 memory: 17087 grad_norm: 4.9426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1940 loss: 2.1940 2022/08/03 11:40:23 - mmengine - INFO - Epoch(train) [12][200/1879] lr: 1.0000e-02 eta: 2 days, 7:01:01 time: 0.4249 data_time: 0.0166 memory: 17087 grad_norm: 4.8616 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0765 loss: 2.0765 2022/08/03 11:40:31 - mmengine - INFO - Epoch(train) [12][220/1879] lr: 1.0000e-02 eta: 2 days, 7:00:50 time: 0.4254 data_time: 0.0144 memory: 17087 grad_norm: 5.0125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0145 loss: 2.0145 2022/08/03 11:40:40 - mmengine - INFO - Epoch(train) [12][240/1879] lr: 1.0000e-02 eta: 2 days, 7:00:39 time: 0.4253 data_time: 0.0164 memory: 17087 grad_norm: 4.9943 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2645 loss: 2.2645 2022/08/03 11:40:49 - mmengine - INFO - Epoch(train) [12][260/1879] lr: 1.0000e-02 eta: 2 days, 7:00:33 time: 0.4358 data_time: 0.0122 memory: 17087 grad_norm: 4.7596 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1116 loss: 2.1116 2022/08/03 11:40:57 - mmengine - INFO - Epoch(train) [12][280/1879] lr: 1.0000e-02 eta: 2 days, 7:00:22 time: 0.4251 data_time: 0.0163 memory: 17087 grad_norm: 5.1069 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2486 loss: 2.2486 2022/08/03 11:41:06 - mmengine - INFO - Epoch(train) [12][300/1879] lr: 1.0000e-02 eta: 2 days, 7:00:10 time: 0.4213 data_time: 0.0138 memory: 17087 grad_norm: 4.8663 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0773 loss: 2.0773 2022/08/03 11:41:14 - mmengine - INFO - Epoch(train) [12][320/1879] lr: 1.0000e-02 eta: 2 days, 7:00:07 time: 0.4448 data_time: 0.0162 memory: 17087 grad_norm: 4.7787 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8934 loss: 1.8934 2022/08/03 11:41:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:41:23 - mmengine - INFO - Epoch(train) [12][340/1879] lr: 1.0000e-02 eta: 2 days, 6:59:56 time: 0.4245 data_time: 0.0134 memory: 17087 grad_norm: 5.0213 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.3352 loss: 2.3352 2022/08/03 11:41:31 - mmengine - INFO - Epoch(train) [12][360/1879] lr: 1.0000e-02 eta: 2 days, 6:59:45 time: 0.4249 data_time: 0.0186 memory: 17087 grad_norm: 4.8384 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1977 loss: 2.1977 2022/08/03 11:41:40 - mmengine - INFO - Epoch(train) [12][380/1879] lr: 1.0000e-02 eta: 2 days, 6:59:33 time: 0.4221 data_time: 0.0144 memory: 17087 grad_norm: 4.8478 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2869 loss: 2.2869 2022/08/03 11:41:48 - mmengine - INFO - Epoch(train) [12][400/1879] lr: 1.0000e-02 eta: 2 days, 6:59:22 time: 0.4254 data_time: 0.0169 memory: 17087 grad_norm: 4.9123 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1464 loss: 2.1464 2022/08/03 11:41:57 - mmengine - INFO - Epoch(train) [12][420/1879] lr: 1.0000e-02 eta: 2 days, 6:59:11 time: 0.4247 data_time: 0.0176 memory: 17087 grad_norm: 4.8849 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9439 loss: 1.9439 2022/08/03 11:42:06 - mmengine - INFO - Epoch(train) [12][440/1879] lr: 1.0000e-02 eta: 2 days, 6:59:04 time: 0.4344 data_time: 0.0149 memory: 17087 grad_norm: 4.9190 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2202 loss: 2.2202 2022/08/03 11:42:14 - mmengine - INFO - Epoch(train) [12][460/1879] lr: 1.0000e-02 eta: 2 days, 6:58:53 time: 0.4245 data_time: 0.0147 memory: 17087 grad_norm: 4.8480 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.1400 loss: 2.1400 2022/08/03 11:42:23 - mmengine - INFO - Epoch(train) [12][480/1879] lr: 1.0000e-02 eta: 2 days, 6:58:42 time: 0.4249 data_time: 0.0142 memory: 17087 grad_norm: 4.9405 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2345 loss: 2.2345 2022/08/03 11:42:31 - mmengine - INFO - Epoch(train) [12][500/1879] lr: 1.0000e-02 eta: 2 days, 6:58:37 time: 0.4395 data_time: 0.0141 memory: 17087 grad_norm: 5.0155 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1724 loss: 2.1724 2022/08/03 11:42:40 - mmengine - INFO - Epoch(train) [12][520/1879] lr: 1.0000e-02 eta: 2 days, 6:58:27 time: 0.4256 data_time: 0.0169 memory: 17087 grad_norm: 4.9418 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2872 loss: 2.2872 2022/08/03 11:42:49 - mmengine - INFO - Epoch(train) [12][540/1879] lr: 1.0000e-02 eta: 2 days, 6:58:19 time: 0.4336 data_time: 0.0176 memory: 17087 grad_norm: 4.7946 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9142 loss: 1.9142 2022/08/03 11:42:57 - mmengine - INFO - Epoch(train) [12][560/1879] lr: 1.0000e-02 eta: 2 days, 6:58:09 time: 0.4259 data_time: 0.0154 memory: 17087 grad_norm: 5.0018 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1366 loss: 2.1366 2022/08/03 11:43:06 - mmengine - INFO - Epoch(train) [12][580/1879] lr: 1.0000e-02 eta: 2 days, 6:57:57 time: 0.4227 data_time: 0.0139 memory: 17087 grad_norm: 4.9513 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2201 loss: 2.2201 2022/08/03 11:43:14 - mmengine - INFO - Epoch(train) [12][600/1879] lr: 1.0000e-02 eta: 2 days, 6:57:50 time: 0.4348 data_time: 0.0198 memory: 17087 grad_norm: 4.9032 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0392 loss: 2.0392 2022/08/03 11:43:23 - mmengine - INFO - Epoch(train) [12][620/1879] lr: 1.0000e-02 eta: 2 days, 6:57:38 time: 0.4221 data_time: 0.0129 memory: 17087 grad_norm: 4.9277 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.2298 loss: 2.2298 2022/08/03 11:43:31 - mmengine - INFO - Epoch(train) [12][640/1879] lr: 1.0000e-02 eta: 2 days, 6:57:34 time: 0.4403 data_time: 0.0152 memory: 17087 grad_norm: 4.7802 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1538 loss: 2.1538 2022/08/03 11:43:40 - mmengine - INFO - Epoch(train) [12][660/1879] lr: 1.0000e-02 eta: 2 days, 6:57:22 time: 0.4230 data_time: 0.0137 memory: 17087 grad_norm: 5.0596 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2245 loss: 2.2245 2022/08/03 11:43:49 - mmengine - INFO - Epoch(train) [12][680/1879] lr: 1.0000e-02 eta: 2 days, 6:57:15 time: 0.4334 data_time: 0.0154 memory: 17087 grad_norm: 5.0259 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0238 loss: 2.0238 2022/08/03 11:43:57 - mmengine - INFO - Epoch(train) [12][700/1879] lr: 1.0000e-02 eta: 2 days, 6:57:03 time: 0.4228 data_time: 0.0148 memory: 17087 grad_norm: 4.7337 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8701 loss: 1.8701 2022/08/03 11:44:06 - mmengine - INFO - Epoch(train) [12][720/1879] lr: 1.0000e-02 eta: 2 days, 6:56:52 time: 0.4250 data_time: 0.0161 memory: 17087 grad_norm: 4.8886 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0649 loss: 2.0649 2022/08/03 11:44:14 - mmengine - INFO - Epoch(train) [12][740/1879] lr: 1.0000e-02 eta: 2 days, 6:56:40 time: 0.4219 data_time: 0.0137 memory: 17087 grad_norm: 4.9839 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.1795 loss: 2.1795 2022/08/03 11:44:23 - mmengine - INFO - Epoch(train) [12][760/1879] lr: 1.0000e-02 eta: 2 days, 6:56:37 time: 0.4447 data_time: 0.0179 memory: 17087 grad_norm: 4.9752 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2950 loss: 2.2950 2022/08/03 11:44:31 - mmengine - INFO - Epoch(train) [12][780/1879] lr: 1.0000e-02 eta: 2 days, 6:56:27 time: 0.4272 data_time: 0.0140 memory: 17087 grad_norm: 4.9404 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8105 loss: 1.8105 2022/08/03 11:44:40 - mmengine - INFO - Epoch(train) [12][800/1879] lr: 1.0000e-02 eta: 2 days, 6:56:24 time: 0.4422 data_time: 0.0151 memory: 17087 grad_norm: 4.7674 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8536 loss: 1.8536 2022/08/03 11:44:49 - mmengine - INFO - Epoch(train) [12][820/1879] lr: 1.0000e-02 eta: 2 days, 6:56:14 time: 0.4284 data_time: 0.0225 memory: 17087 grad_norm: 4.9229 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0054 loss: 2.0054 2022/08/03 11:44:57 - mmengine - INFO - Epoch(train) [12][840/1879] lr: 1.0000e-02 eta: 2 days, 6:56:03 time: 0.4249 data_time: 0.0150 memory: 17087 grad_norm: 4.9176 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1723 loss: 2.1723 2022/08/03 11:45:06 - mmengine - INFO - Epoch(train) [12][860/1879] lr: 1.0000e-02 eta: 2 days, 6:55:55 time: 0.4311 data_time: 0.0153 memory: 17087 grad_norm: 4.8039 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1313 loss: 2.1313 2022/08/03 11:45:14 - mmengine - INFO - Epoch(train) [12][880/1879] lr: 1.0000e-02 eta: 2 days, 6:55:44 time: 0.4241 data_time: 0.0156 memory: 17087 grad_norm: 4.8371 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9740 loss: 1.9740 2022/08/03 11:45:23 - mmengine - INFO - Epoch(train) [12][900/1879] lr: 1.0000e-02 eta: 2 days, 6:55:39 time: 0.4387 data_time: 0.0150 memory: 17087 grad_norm: 5.0013 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9256 loss: 1.9256 2022/08/03 11:45:32 - mmengine - INFO - Epoch(train) [12][920/1879] lr: 1.0000e-02 eta: 2 days, 6:55:32 time: 0.4361 data_time: 0.0172 memory: 17087 grad_norm: 4.9791 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9802 loss: 1.9802 2022/08/03 11:45:41 - mmengine - INFO - Epoch(train) [12][940/1879] lr: 1.0000e-02 eta: 2 days, 6:55:30 time: 0.4441 data_time: 0.0160 memory: 17087 grad_norm: 5.0650 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2288 loss: 2.2288 2022/08/03 11:45:49 - mmengine - INFO - Epoch(train) [12][960/1879] lr: 1.0000e-02 eta: 2 days, 6:55:19 time: 0.4254 data_time: 0.0168 memory: 17087 grad_norm: 4.7854 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1446 loss: 2.1446 2022/08/03 11:45:58 - mmengine - INFO - Epoch(train) [12][980/1879] lr: 1.0000e-02 eta: 2 days, 6:55:07 time: 0.4224 data_time: 0.0141 memory: 17087 grad_norm: 4.8948 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0985 loss: 2.0985 2022/08/03 11:46:06 - mmengine - INFO - Epoch(train) [12][1000/1879] lr: 1.0000e-02 eta: 2 days, 6:54:58 time: 0.4296 data_time: 0.0171 memory: 17087 grad_norm: 4.8457 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0318 loss: 2.0318 2022/08/03 11:46:15 - mmengine - INFO - Epoch(train) [12][1020/1879] lr: 1.0000e-02 eta: 2 days, 6:54:46 time: 0.4236 data_time: 0.0150 memory: 17087 grad_norm: 4.8434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7972 loss: 1.7972 2022/08/03 11:46:24 - mmengine - INFO - Epoch(train) [12][1040/1879] lr: 1.0000e-02 eta: 2 days, 6:54:41 time: 0.4368 data_time: 0.0152 memory: 17087 grad_norm: 4.9692 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0550 loss: 2.0550 2022/08/03 11:46:32 - mmengine - INFO - Epoch(train) [12][1060/1879] lr: 1.0000e-02 eta: 2 days, 6:54:29 time: 0.4239 data_time: 0.0138 memory: 17087 grad_norm: 4.9865 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2711 loss: 2.2711 2022/08/03 11:46:41 - mmengine - INFO - Epoch(train) [12][1080/1879] lr: 1.0000e-02 eta: 2 days, 6:54:21 time: 0.4309 data_time: 0.0156 memory: 17087 grad_norm: 4.8433 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.1264 loss: 2.1264 2022/08/03 11:46:49 - mmengine - INFO - Epoch(train) [12][1100/1879] lr: 1.0000e-02 eta: 2 days, 6:54:09 time: 0.4236 data_time: 0.0133 memory: 17087 grad_norm: 4.9840 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0410 loss: 2.0410 2022/08/03 11:46:58 - mmengine - INFO - Epoch(train) [12][1120/1879] lr: 1.0000e-02 eta: 2 days, 6:53:58 time: 0.4246 data_time: 0.0151 memory: 17087 grad_norm: 4.8850 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.3751 loss: 2.3751 2022/08/03 11:47:06 - mmengine - INFO - Epoch(train) [12][1140/1879] lr: 1.0000e-02 eta: 2 days, 6:53:50 time: 0.4317 data_time: 0.0146 memory: 17087 grad_norm: 4.8322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0117 loss: 2.0117 2022/08/03 11:47:15 - mmengine - INFO - Epoch(train) [12][1160/1879] lr: 1.0000e-02 eta: 2 days, 6:53:41 time: 0.4284 data_time: 0.0185 memory: 17087 grad_norm: 4.9668 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1169 loss: 2.1169 2022/08/03 11:47:24 - mmengine - INFO - Epoch(train) [12][1180/1879] lr: 1.0000e-02 eta: 2 days, 6:53:37 time: 0.4409 data_time: 0.0158 memory: 17087 grad_norm: 4.8470 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2070 loss: 2.2070 2022/08/03 11:47:32 - mmengine - INFO - Epoch(train) [12][1200/1879] lr: 1.0000e-02 eta: 2 days, 6:53:26 time: 0.4258 data_time: 0.0156 memory: 17087 grad_norm: 4.9805 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.3451 loss: 2.3451 2022/08/03 11:47:41 - mmengine - INFO - Epoch(train) [12][1220/1879] lr: 1.0000e-02 eta: 2 days, 6:53:22 time: 0.4409 data_time: 0.0147 memory: 17087 grad_norm: 4.7567 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0070 loss: 2.0070 2022/08/03 11:47:50 - mmengine - INFO - Epoch(train) [12][1240/1879] lr: 1.0000e-02 eta: 2 days, 6:53:13 time: 0.4304 data_time: 0.0197 memory: 17087 grad_norm: 4.8179 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.1491 loss: 2.1491 2022/08/03 11:47:58 - mmengine - INFO - Epoch(train) [12][1260/1879] lr: 1.0000e-02 eta: 2 days, 6:53:03 time: 0.4259 data_time: 0.0148 memory: 17087 grad_norm: 4.9507 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1530 loss: 2.1530 2022/08/03 11:48:07 - mmengine - INFO - Epoch(train) [12][1280/1879] lr: 1.0000e-02 eta: 2 days, 6:52:54 time: 0.4288 data_time: 0.0169 memory: 17087 grad_norm: 4.7230 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0160 loss: 2.0160 2022/08/03 11:48:15 - mmengine - INFO - Epoch(train) [12][1300/1879] lr: 1.0000e-02 eta: 2 days, 6:52:42 time: 0.4231 data_time: 0.0150 memory: 17087 grad_norm: 4.8507 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0666 loss: 2.0666 2022/08/03 11:48:24 - mmengine - INFO - Epoch(train) [12][1320/1879] lr: 1.0000e-02 eta: 2 days, 6:52:39 time: 0.4442 data_time: 0.0154 memory: 17087 grad_norm: 4.9064 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1782 loss: 2.1782 2022/08/03 11:48:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:48:33 - mmengine - INFO - Epoch(train) [12][1340/1879] lr: 1.0000e-02 eta: 2 days, 6:52:31 time: 0.4301 data_time: 0.0209 memory: 17087 grad_norm: 4.8400 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 2.2097 loss: 2.2097 2022/08/03 11:48:42 - mmengine - INFO - Epoch(train) [12][1360/1879] lr: 1.0000e-02 eta: 2 days, 6:52:26 time: 0.4404 data_time: 0.0171 memory: 17087 grad_norm: 4.8260 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1321 loss: 2.1321 2022/08/03 11:48:50 - mmengine - INFO - Epoch(train) [12][1380/1879] lr: 1.0000e-02 eta: 2 days, 6:52:17 time: 0.4300 data_time: 0.0188 memory: 17087 grad_norm: 4.8424 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1278 loss: 2.1278 2022/08/03 11:48:59 - mmengine - INFO - Epoch(train) [12][1400/1879] lr: 1.0000e-02 eta: 2 days, 6:52:07 time: 0.4265 data_time: 0.0161 memory: 17087 grad_norm: 4.8143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0984 loss: 2.0984 2022/08/03 11:49:07 - mmengine - INFO - Epoch(train) [12][1420/1879] lr: 1.0000e-02 eta: 2 days, 6:51:56 time: 0.4243 data_time: 0.0148 memory: 17087 grad_norm: 4.8724 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.3242 loss: 2.3242 2022/08/03 11:49:16 - mmengine - INFO - Epoch(train) [12][1440/1879] lr: 1.0000e-02 eta: 2 days, 6:51:44 time: 0.4226 data_time: 0.0144 memory: 17087 grad_norm: 4.8370 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0355 loss: 2.0355 2022/08/03 11:49:24 - mmengine - INFO - Epoch(train) [12][1460/1879] lr: 1.0000e-02 eta: 2 days, 6:51:33 time: 0.4253 data_time: 0.0143 memory: 17087 grad_norm: 4.9457 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1228 loss: 2.1228 2022/08/03 11:49:33 - mmengine - INFO - Epoch(train) [12][1480/1879] lr: 1.0000e-02 eta: 2 days, 6:51:22 time: 0.4231 data_time: 0.0143 memory: 17087 grad_norm: 4.7815 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0762 loss: 2.0762 2022/08/03 11:49:41 - mmengine - INFO - Epoch(train) [12][1500/1879] lr: 1.0000e-02 eta: 2 days, 6:51:11 time: 0.4241 data_time: 0.0141 memory: 17087 grad_norm: 4.8743 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2071 loss: 2.2071 2022/08/03 11:49:50 - mmengine - INFO - Epoch(train) [12][1520/1879] lr: 1.0000e-02 eta: 2 days, 6:50:59 time: 0.4242 data_time: 0.0155 memory: 17087 grad_norm: 4.7605 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.2095 loss: 2.2095 2022/08/03 11:49:58 - mmengine - INFO - Epoch(train) [12][1540/1879] lr: 1.0000e-02 eta: 2 days, 6:50:48 time: 0.4231 data_time: 0.0133 memory: 17087 grad_norm: 4.8433 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.2478 loss: 2.2478 2022/08/03 11:50:07 - mmengine - INFO - Epoch(train) [12][1560/1879] lr: 1.0000e-02 eta: 2 days, 6:50:38 time: 0.4264 data_time: 0.0167 memory: 17087 grad_norm: 4.8740 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2071 loss: 2.2071 2022/08/03 11:50:15 - mmengine - INFO - Epoch(train) [12][1580/1879] lr: 1.0000e-02 eta: 2 days, 6:50:26 time: 0.4232 data_time: 0.0140 memory: 17087 grad_norm: 4.8819 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0185 loss: 2.0185 2022/08/03 11:50:24 - mmengine - INFO - Epoch(train) [12][1600/1879] lr: 1.0000e-02 eta: 2 days, 6:50:24 time: 0.4453 data_time: 0.0161 memory: 17087 grad_norm: 4.8987 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1023 loss: 2.1023 2022/08/03 11:50:32 - mmengine - INFO - Epoch(train) [12][1620/1879] lr: 1.0000e-02 eta: 2 days, 6:50:12 time: 0.4238 data_time: 0.0142 memory: 17087 grad_norm: 4.8278 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8946 loss: 1.8946 2022/08/03 11:50:41 - mmengine - INFO - Epoch(train) [12][1640/1879] lr: 1.0000e-02 eta: 2 days, 6:50:03 time: 0.4293 data_time: 0.0164 memory: 17087 grad_norm: 4.8569 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.3420 loss: 2.3420 2022/08/03 11:50:49 - mmengine - INFO - Epoch(train) [12][1660/1879] lr: 1.0000e-02 eta: 2 days, 6:49:52 time: 0.4246 data_time: 0.0135 memory: 17087 grad_norm: 4.7727 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1740 loss: 2.1740 2022/08/03 11:50:58 - mmengine - INFO - Epoch(train) [12][1680/1879] lr: 1.0000e-02 eta: 2 days, 6:49:42 time: 0.4255 data_time: 0.0151 memory: 17087 grad_norm: 4.7401 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9638 loss: 1.9638 2022/08/03 11:51:06 - mmengine - INFO - Epoch(train) [12][1700/1879] lr: 1.0000e-02 eta: 2 days, 6:49:30 time: 0.4221 data_time: 0.0141 memory: 17087 grad_norm: 4.8729 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8498 loss: 1.8498 2022/08/03 11:51:15 - mmengine - INFO - Epoch(train) [12][1720/1879] lr: 1.0000e-02 eta: 2 days, 6:49:19 time: 0.4241 data_time: 0.0166 memory: 17087 grad_norm: 4.8251 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.2405 loss: 2.2405 2022/08/03 11:51:23 - mmengine - INFO - Epoch(train) [12][1740/1879] lr: 1.0000e-02 eta: 2 days, 6:49:07 time: 0.4225 data_time: 0.0130 memory: 17087 grad_norm: 4.9427 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1063 loss: 2.1063 2022/08/03 11:51:32 - mmengine - INFO - Epoch(train) [12][1760/1879] lr: 1.0000e-02 eta: 2 days, 6:49:06 time: 0.4498 data_time: 0.0172 memory: 17087 grad_norm: 4.8076 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0530 loss: 2.0530 2022/08/03 11:51:41 - mmengine - INFO - Epoch(train) [12][1780/1879] lr: 1.0000e-02 eta: 2 days, 6:48:56 time: 0.4273 data_time: 0.0191 memory: 17087 grad_norm: 4.9112 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1289 loss: 2.1289 2022/08/03 11:51:50 - mmengine - INFO - Epoch(train) [12][1800/1879] lr: 1.0000e-02 eta: 2 days, 6:48:55 time: 0.4491 data_time: 0.0165 memory: 17087 grad_norm: 4.9400 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1708 loss: 2.1708 2022/08/03 11:51:58 - mmengine - INFO - Epoch(train) [12][1820/1879] lr: 1.0000e-02 eta: 2 days, 6:48:44 time: 0.4224 data_time: 0.0128 memory: 17087 grad_norm: 4.8105 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1366 loss: 2.1366 2022/08/03 11:52:07 - mmengine - INFO - Epoch(train) [12][1840/1879] lr: 1.0000e-02 eta: 2 days, 6:48:34 time: 0.4273 data_time: 0.0198 memory: 17087 grad_norm: 5.0137 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.5372 loss: 2.5372 2022/08/03 11:52:16 - mmengine - INFO - Epoch(train) [12][1860/1879] lr: 1.0000e-02 eta: 2 days, 6:48:31 time: 0.4452 data_time: 0.0145 memory: 17087 grad_norm: 4.7231 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9847 loss: 1.9847 2022/08/03 11:52:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:52:24 - mmengine - INFO - Epoch(train) [12][1879/1879] lr: 1.0000e-02 eta: 2 days, 6:48:31 time: 0.4120 data_time: 0.0199 memory: 17087 grad_norm: 4.8608 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 2.3119 loss: 2.3119 2022/08/03 11:52:24 - mmengine - INFO - Saving checkpoint at 12 epochs 2022/08/03 11:52:37 - mmengine - INFO - Epoch(train) [13][20/1879] lr: 1.0000e-02 eta: 2 days, 6:46:02 time: 0.5125 data_time: 0.1007 memory: 17087 grad_norm: 4.8032 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1168 loss: 2.1168 2022/08/03 11:52:46 - mmengine - INFO - Epoch(train) [13][40/1879] lr: 1.0000e-02 eta: 2 days, 6:46:03 time: 0.4534 data_time: 0.0238 memory: 17087 grad_norm: 4.7527 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8564 loss: 1.8564 2022/08/03 11:52:55 - mmengine - INFO - Epoch(train) [13][60/1879] lr: 1.0000e-02 eta: 2 days, 6:45:53 time: 0.4281 data_time: 0.0177 memory: 17087 grad_norm: 4.8708 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0555 loss: 2.0555 2022/08/03 11:53:04 - mmengine - INFO - Epoch(train) [13][80/1879] lr: 1.0000e-02 eta: 2 days, 6:45:50 time: 0.4440 data_time: 0.0162 memory: 17087 grad_norm: 4.8258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1335 loss: 2.1335 2022/08/03 11:53:12 - mmengine - INFO - Epoch(train) [13][100/1879] lr: 1.0000e-02 eta: 2 days, 6:45:39 time: 0.4227 data_time: 0.0126 memory: 17087 grad_norm: 4.7515 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9673 loss: 1.9673 2022/08/03 11:53:21 - mmengine - INFO - Epoch(train) [13][120/1879] lr: 1.0000e-02 eta: 2 days, 6:45:30 time: 0.4292 data_time: 0.0172 memory: 17087 grad_norm: 4.8234 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0374 loss: 2.0374 2022/08/03 11:53:29 - mmengine - INFO - Epoch(train) [13][140/1879] lr: 1.0000e-02 eta: 2 days, 6:45:18 time: 0.4222 data_time: 0.0133 memory: 17087 grad_norm: 4.7089 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0446 loss: 2.0446 2022/08/03 11:53:38 - mmengine - INFO - Epoch(train) [13][160/1879] lr: 1.0000e-02 eta: 2 days, 6:45:07 time: 0.4240 data_time: 0.0156 memory: 17087 grad_norm: 4.8242 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1058 loss: 2.1058 2022/08/03 11:53:46 - mmengine - INFO - Epoch(train) [13][180/1879] lr: 1.0000e-02 eta: 2 days, 6:45:00 time: 0.4357 data_time: 0.0177 memory: 17087 grad_norm: 4.9085 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0528 loss: 2.0528 2022/08/03 11:53:55 - mmengine - INFO - Epoch(train) [13][200/1879] lr: 1.0000e-02 eta: 2 days, 6:44:51 time: 0.4268 data_time: 0.0171 memory: 17087 grad_norm: 4.8352 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0161 loss: 2.0161 2022/08/03 11:54:04 - mmengine - INFO - Epoch(train) [13][220/1879] lr: 1.0000e-02 eta: 2 days, 6:44:42 time: 0.4310 data_time: 0.0200 memory: 17087 grad_norm: 4.7160 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0462 loss: 2.0462 2022/08/03 11:54:12 - mmengine - INFO - Epoch(train) [13][240/1879] lr: 1.0000e-02 eta: 2 days, 6:44:31 time: 0.4242 data_time: 0.0155 memory: 17087 grad_norm: 4.9556 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9612 loss: 1.9612 2022/08/03 11:54:21 - mmengine - INFO - Epoch(train) [13][260/1879] lr: 1.0000e-02 eta: 2 days, 6:44:27 time: 0.4409 data_time: 0.0143 memory: 17087 grad_norm: 4.7560 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1407 loss: 2.1407 2022/08/03 11:54:29 - mmengine - INFO - Epoch(train) [13][280/1879] lr: 1.0000e-02 eta: 2 days, 6:44:19 time: 0.4310 data_time: 0.0201 memory: 17087 grad_norm: 4.9302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0561 loss: 2.0561 2022/08/03 11:54:38 - mmengine - INFO - Epoch(train) [13][300/1879] lr: 1.0000e-02 eta: 2 days, 6:44:07 time: 0.4222 data_time: 0.0145 memory: 17087 grad_norm: 4.8207 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1107 loss: 2.1107 2022/08/03 11:54:47 - mmengine - INFO - Epoch(train) [13][320/1879] lr: 1.0000e-02 eta: 2 days, 6:44:04 time: 0.4444 data_time: 0.0172 memory: 17087 grad_norm: 4.7918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0730 loss: 2.0730 2022/08/03 11:54:55 - mmengine - INFO - Epoch(train) [13][340/1879] lr: 1.0000e-02 eta: 2 days, 6:43:55 time: 0.4290 data_time: 0.0206 memory: 17087 grad_norm: 4.7368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0337 loss: 2.0337 2022/08/03 11:55:04 - mmengine - INFO - Epoch(train) [13][360/1879] lr: 1.0000e-02 eta: 2 days, 6:43:53 time: 0.4458 data_time: 0.0162 memory: 17087 grad_norm: 4.8835 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1988 loss: 2.1988 2022/08/03 11:55:13 - mmengine - INFO - Epoch(train) [13][380/1879] lr: 1.0000e-02 eta: 2 days, 6:43:43 time: 0.4276 data_time: 0.0183 memory: 17087 grad_norm: 4.7310 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 2.2619 loss: 2.2619 2022/08/03 11:55:22 - mmengine - INFO - Epoch(train) [13][400/1879] lr: 1.0000e-02 eta: 2 days, 6:43:40 time: 0.4443 data_time: 0.0156 memory: 17087 grad_norm: 4.8002 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0182 loss: 2.0182 2022/08/03 11:55:30 - mmengine - INFO - Epoch(train) [13][420/1879] lr: 1.0000e-02 eta: 2 days, 6:43:29 time: 0.4235 data_time: 0.0175 memory: 17087 grad_norm: 4.8569 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0592 loss: 2.0592 2022/08/03 11:55:39 - mmengine - INFO - Epoch(train) [13][440/1879] lr: 1.0000e-02 eta: 2 days, 6:43:19 time: 0.4258 data_time: 0.0161 memory: 17087 grad_norm: 4.9724 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0621 loss: 2.0621 2022/08/03 11:55:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 11:55:48 - mmengine - INFO - Epoch(train) [13][460/1879] lr: 1.0000e-02 eta: 2 days, 6:43:16 time: 0.4443 data_time: 0.0142 memory: 17087 grad_norm: 4.8449 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2174 loss: 2.2174 2022/08/03 11:55:56 - mmengine - INFO - Epoch(train) [13][480/1879] lr: 1.0000e-02 eta: 2 days, 6:43:06 time: 0.4273 data_time: 0.0200 memory: 17087 grad_norm: 4.7528 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9664 loss: 1.9664 2022/08/03 11:56:05 - mmengine - INFO - Epoch(train) [13][500/1879] lr: 1.0000e-02 eta: 2 days, 6:43:00 time: 0.4356 data_time: 0.0147 memory: 17087 grad_norm: 4.8413 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0381 loss: 2.0381 2022/08/03 11:56:13 - mmengine - INFO - Epoch(train) [13][520/1879] lr: 1.0000e-02 eta: 2 days, 6:42:50 time: 0.4267 data_time: 0.0174 memory: 17087 grad_norm: 4.7576 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0849 loss: 2.0849 2022/08/03 11:56:22 - mmengine - INFO - Epoch(train) [13][540/1879] lr: 1.0000e-02 eta: 2 days, 6:42:44 time: 0.4379 data_time: 0.0141 memory: 17087 grad_norm: 4.8771 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.2700 loss: 2.2700 2022/08/03 11:56:31 - mmengine - INFO - Epoch(train) [13][560/1879] lr: 1.0000e-02 eta: 2 days, 6:42:35 time: 0.4296 data_time: 0.0147 memory: 17087 grad_norm: 4.8476 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8555 loss: 1.8555 2022/08/03 11:56:40 - mmengine - INFO - Epoch(train) [13][580/1879] lr: 1.0000e-02 eta: 2 days, 6:42:30 time: 0.4382 data_time: 0.0144 memory: 17087 grad_norm: 4.9992 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1818 loss: 2.1818 2022/08/03 11:56:48 - mmengine - INFO - Epoch(train) [13][600/1879] lr: 1.0000e-02 eta: 2 days, 6:42:19 time: 0.4248 data_time: 0.0169 memory: 17087 grad_norm: 4.7938 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9925 loss: 1.9925 2022/08/03 11:56:57 - mmengine - INFO - Epoch(train) [13][620/1879] lr: 1.0000e-02 eta: 2 days, 6:42:09 time: 0.4259 data_time: 0.0195 memory: 17087 grad_norm: 4.9027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7711 loss: 1.7711 2022/08/03 11:57:05 - mmengine - INFO - Epoch(train) [13][640/1879] lr: 1.0000e-02 eta: 2 days, 6:41:59 time: 0.4265 data_time: 0.0156 memory: 17087 grad_norm: 4.9033 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0053 loss: 2.0053 2022/08/03 11:57:14 - mmengine - INFO - Epoch(train) [13][660/1879] lr: 1.0000e-02 eta: 2 days, 6:41:48 time: 0.4235 data_time: 0.0160 memory: 17087 grad_norm: 4.8590 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0516 loss: 2.0516 2022/08/03 11:57:22 - mmengine - INFO - Epoch(train) [13][680/1879] lr: 1.0000e-02 eta: 2 days, 6:41:44 time: 0.4419 data_time: 0.0161 memory: 17087 grad_norm: 4.8021 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2651 loss: 2.2651 2022/08/03 11:57:31 - mmengine - INFO - Epoch(train) [13][700/1879] lr: 1.0000e-02 eta: 2 days, 6:41:33 time: 0.4250 data_time: 0.0176 memory: 17087 grad_norm: 4.7525 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0065 loss: 2.0065 2022/08/03 11:57:39 - mmengine - INFO - Epoch(train) [13][720/1879] lr: 1.0000e-02 eta: 2 days, 6:41:23 time: 0.4258 data_time: 0.0150 memory: 17087 grad_norm: 4.7400 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0435 loss: 2.0435 2022/08/03 11:57:48 - mmengine - INFO - Epoch(train) [13][740/1879] lr: 1.0000e-02 eta: 2 days, 6:41:11 time: 0.4224 data_time: 0.0136 memory: 17087 grad_norm: 4.6618 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0874 loss: 2.0874 2022/08/03 11:57:56 - mmengine - INFO - Epoch(train) [13][760/1879] lr: 1.0000e-02 eta: 2 days, 6:41:01 time: 0.4269 data_time: 0.0164 memory: 17087 grad_norm: 4.8479 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0502 loss: 2.0502 2022/08/03 11:58:05 - mmengine - INFO - Epoch(train) [13][780/1879] lr: 1.0000e-02 eta: 2 days, 6:40:50 time: 0.4236 data_time: 0.0150 memory: 17087 grad_norm: 4.8545 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0322 loss: 2.0322 2022/08/03 11:58:13 - mmengine - INFO - Epoch(train) [13][800/1879] lr: 1.0000e-02 eta: 2 days, 6:40:40 time: 0.4267 data_time: 0.0158 memory: 17087 grad_norm: 4.8237 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0840 loss: 2.0840 2022/08/03 11:58:22 - mmengine - INFO - Epoch(train) [13][820/1879] lr: 1.0000e-02 eta: 2 days, 6:40:36 time: 0.4411 data_time: 0.0148 memory: 17087 grad_norm: 4.6256 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1155 loss: 2.1155 2022/08/03 11:58:31 - mmengine - INFO - Epoch(train) [13][840/1879] lr: 1.0000e-02 eta: 2 days, 6:40:26 time: 0.4273 data_time: 0.0166 memory: 17087 grad_norm: 4.8703 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9370 loss: 1.9370 2022/08/03 11:58:39 - mmengine - INFO - Epoch(train) [13][860/1879] lr: 1.0000e-02 eta: 2 days, 6:40:15 time: 0.4232 data_time: 0.0143 memory: 17087 grad_norm: 4.8281 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1665 loss: 2.1665 2022/08/03 11:58:48 - mmengine - INFO - Epoch(train) [13][880/1879] lr: 1.0000e-02 eta: 2 days, 6:40:04 time: 0.4249 data_time: 0.0152 memory: 17087 grad_norm: 4.7972 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9018 loss: 1.9018 2022/08/03 11:58:56 - mmengine - INFO - Epoch(train) [13][900/1879] lr: 1.0000e-02 eta: 2 days, 6:39:53 time: 0.4240 data_time: 0.0150 memory: 17087 grad_norm: 4.9156 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0649 loss: 2.0649 2022/08/03 11:59:05 - mmengine - INFO - Epoch(train) [13][920/1879] lr: 1.0000e-02 eta: 2 days, 6:39:49 time: 0.4412 data_time: 0.0151 memory: 17087 grad_norm: 4.9422 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1179 loss: 2.1179 2022/08/03 11:59:14 - mmengine - INFO - Epoch(train) [13][940/1879] lr: 1.0000e-02 eta: 2 days, 6:39:40 time: 0.4272 data_time: 0.0187 memory: 17087 grad_norm: 4.8968 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1568 loss: 2.1568 2022/08/03 11:59:22 - mmengine - INFO - Epoch(train) [13][960/1879] lr: 1.0000e-02 eta: 2 days, 6:39:29 time: 0.4247 data_time: 0.0157 memory: 17087 grad_norm: 4.9237 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.1771 loss: 2.1771 2022/08/03 11:59:31 - mmengine - INFO - Epoch(train) [13][980/1879] lr: 1.0000e-02 eta: 2 days, 6:39:18 time: 0.4255 data_time: 0.0150 memory: 17087 grad_norm: 4.8608 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1558 loss: 2.1558 2022/08/03 11:59:39 - mmengine - INFO - Epoch(train) [13][1000/1879] lr: 1.0000e-02 eta: 2 days, 6:39:08 time: 0.4256 data_time: 0.0149 memory: 17087 grad_norm: 4.7505 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.2116 loss: 2.2116 2022/08/03 11:59:48 - mmengine - INFO - Epoch(train) [13][1020/1879] lr: 1.0000e-02 eta: 2 days, 6:38:58 time: 0.4259 data_time: 0.0148 memory: 17087 grad_norm: 5.0407 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1499 loss: 2.1499 2022/08/03 11:59:56 - mmengine - INFO - Epoch(train) [13][1040/1879] lr: 1.0000e-02 eta: 2 days, 6:38:47 time: 0.4254 data_time: 0.0155 memory: 17087 grad_norm: 4.8111 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9502 loss: 1.9502 2022/08/03 12:00:08 - mmengine - INFO - Epoch(train) [13][1060/1879] lr: 1.0000e-02 eta: 2 days, 6:39:40 time: 0.5884 data_time: 0.0199 memory: 17087 grad_norm: 4.7421 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1255 loss: 2.1255 2022/08/03 12:00:16 - mmengine - INFO - Epoch(train) [13][1080/1879] lr: 1.0000e-02 eta: 2 days, 6:39:30 time: 0.4253 data_time: 0.0162 memory: 17087 grad_norm: 4.7762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.1130 loss: 2.1130 2022/08/03 12:00:25 - mmengine - INFO - Epoch(train) [13][1100/1879] lr: 1.0000e-02 eta: 2 days, 6:39:20 time: 0.4271 data_time: 0.0147 memory: 17087 grad_norm: 4.7931 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2929 loss: 2.2929 2022/08/03 12:00:34 - mmengine - INFO - Epoch(train) [13][1120/1879] lr: 1.0000e-02 eta: 2 days, 6:39:10 time: 0.4273 data_time: 0.0180 memory: 17087 grad_norm: 4.7468 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1508 loss: 2.1508 2022/08/03 12:00:42 - mmengine - INFO - Epoch(train) [13][1140/1879] lr: 1.0000e-02 eta: 2 days, 6:38:58 time: 0.4221 data_time: 0.0125 memory: 17087 grad_norm: 4.8495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9360 loss: 1.9360 2022/08/03 12:00:51 - mmengine - INFO - Epoch(train) [13][1160/1879] lr: 1.0000e-02 eta: 2 days, 6:38:54 time: 0.4400 data_time: 0.0217 memory: 17087 grad_norm: 4.9789 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1087 loss: 2.1087 2022/08/03 12:00:59 - mmengine - INFO - Epoch(train) [13][1180/1879] lr: 1.0000e-02 eta: 2 days, 6:38:41 time: 0.4207 data_time: 0.0121 memory: 17087 grad_norm: 4.7734 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0087 loss: 2.0087 2022/08/03 12:01:08 - mmengine - INFO - Epoch(train) [13][1200/1879] lr: 1.0000e-02 eta: 2 days, 6:38:34 time: 0.4327 data_time: 0.0200 memory: 17087 grad_norm: 4.8170 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0474 loss: 2.0474 2022/08/03 12:01:16 - mmengine - INFO - Epoch(train) [13][1220/1879] lr: 1.0000e-02 eta: 2 days, 6:38:22 time: 0.4227 data_time: 0.0142 memory: 17087 grad_norm: 4.7385 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.2286 loss: 2.2286 2022/08/03 12:01:25 - mmengine - INFO - Epoch(train) [13][1240/1879] lr: 1.0000e-02 eta: 2 days, 6:38:11 time: 0.4244 data_time: 0.0155 memory: 17087 grad_norm: 4.8344 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9702 loss: 1.9702 2022/08/03 12:01:34 - mmengine - INFO - Epoch(train) [13][1260/1879] lr: 1.0000e-02 eta: 2 days, 6:38:07 time: 0.4420 data_time: 0.0137 memory: 17087 grad_norm: 4.9258 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9744 loss: 1.9744 2022/08/03 12:01:42 - mmengine - INFO - Epoch(train) [13][1280/1879] lr: 1.0000e-02 eta: 2 days, 6:37:59 time: 0.4297 data_time: 0.0203 memory: 17087 grad_norm: 4.7825 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.9502 loss: 1.9502 2022/08/03 12:01:51 - mmengine - INFO - Epoch(train) [13][1300/1879] lr: 1.0000e-02 eta: 2 days, 6:37:50 time: 0.4309 data_time: 0.0145 memory: 17087 grad_norm: 4.9349 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.2728 loss: 2.2728 2022/08/03 12:01:59 - mmengine - INFO - Epoch(train) [13][1320/1879] lr: 1.0000e-02 eta: 2 days, 6:37:39 time: 0.4221 data_time: 0.0140 memory: 17087 grad_norm: 4.8173 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.2383 loss: 2.2383 2022/08/03 12:02:08 - mmengine - INFO - Epoch(train) [13][1340/1879] lr: 1.0000e-02 eta: 2 days, 6:37:27 time: 0.4231 data_time: 0.0142 memory: 17087 grad_norm: 4.7755 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2178 loss: 2.2178 2022/08/03 12:02:16 - mmengine - INFO - Epoch(train) [13][1360/1879] lr: 1.0000e-02 eta: 2 days, 6:37:18 time: 0.4297 data_time: 0.0152 memory: 17087 grad_norm: 4.7956 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1493 loss: 2.1493 2022/08/03 12:02:25 - mmengine - INFO - Epoch(train) [13][1380/1879] lr: 1.0000e-02 eta: 2 days, 6:37:08 time: 0.4251 data_time: 0.0139 memory: 17087 grad_norm: 4.9100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.2799 loss: 2.2799 2022/08/03 12:02:34 - mmengine - INFO - Epoch(train) [13][1400/1879] lr: 1.0000e-02 eta: 2 days, 6:37:08 time: 0.4520 data_time: 0.0157 memory: 17087 grad_norm: 4.8473 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1337 loss: 2.1337 2022/08/03 12:02:42 - mmengine - INFO - Epoch(train) [13][1420/1879] lr: 1.0000e-02 eta: 2 days, 6:36:56 time: 0.4231 data_time: 0.0136 memory: 17087 grad_norm: 4.8452 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0968 loss: 2.0968 2022/08/03 12:02:51 - mmengine - INFO - Epoch(train) [13][1440/1879] lr: 1.0000e-02 eta: 2 days, 6:36:55 time: 0.4481 data_time: 0.0240 memory: 17087 grad_norm: 4.9021 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9456 loss: 1.9456 2022/08/03 12:02:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:03:00 - mmengine - INFO - Epoch(train) [13][1460/1879] lr: 1.0000e-02 eta: 2 days, 6:36:45 time: 0.4282 data_time: 0.0128 memory: 17087 grad_norm: 4.8403 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.2655 loss: 2.2655 2022/08/03 12:03:08 - mmengine - INFO - Epoch(train) [13][1480/1879] lr: 1.0000e-02 eta: 2 days, 6:36:34 time: 0.4240 data_time: 0.0174 memory: 17087 grad_norm: 4.8734 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.2338 loss: 2.2338 2022/08/03 12:03:17 - mmengine - INFO - Epoch(train) [13][1500/1879] lr: 1.0000e-02 eta: 2 days, 6:36:30 time: 0.4415 data_time: 0.0154 memory: 17087 grad_norm: 4.8725 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0772 loss: 2.0772 2022/08/03 12:03:26 - mmengine - INFO - Epoch(train) [13][1520/1879] lr: 1.0000e-02 eta: 2 days, 6:36:28 time: 0.4479 data_time: 0.0201 memory: 17087 grad_norm: 4.8307 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0277 loss: 2.0277 2022/08/03 12:03:35 - mmengine - INFO - Epoch(train) [13][1540/1879] lr: 1.0000e-02 eta: 2 days, 6:36:17 time: 0.4242 data_time: 0.0142 memory: 17087 grad_norm: 4.8194 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8474 loss: 1.8474 2022/08/03 12:03:43 - mmengine - INFO - Epoch(train) [13][1560/1879] lr: 1.0000e-02 eta: 2 days, 6:36:08 time: 0.4295 data_time: 0.0189 memory: 17087 grad_norm: 4.8739 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0926 loss: 2.0926 2022/08/03 12:03:52 - mmengine - INFO - Epoch(train) [13][1580/1879] lr: 1.0000e-02 eta: 2 days, 6:35:59 time: 0.4298 data_time: 0.0131 memory: 17087 grad_norm: 4.8106 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8768 loss: 1.8768 2022/08/03 12:04:00 - mmengine - INFO - Epoch(train) [13][1600/1879] lr: 1.0000e-02 eta: 2 days, 6:35:51 time: 0.4302 data_time: 0.0174 memory: 17087 grad_norm: 4.9766 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9385 loss: 1.9385 2022/08/03 12:04:09 - mmengine - INFO - Epoch(train) [13][1620/1879] lr: 1.0000e-02 eta: 2 days, 6:35:40 time: 0.4239 data_time: 0.0150 memory: 17087 grad_norm: 4.8582 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1466 loss: 2.1466 2022/08/03 12:04:17 - mmengine - INFO - Epoch(train) [13][1640/1879] lr: 1.0000e-02 eta: 2 days, 6:35:30 time: 0.4263 data_time: 0.0160 memory: 17087 grad_norm: 4.6710 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0629 loss: 2.0629 2022/08/03 12:04:26 - mmengine - INFO - Epoch(train) [13][1660/1879] lr: 1.0000e-02 eta: 2 days, 6:35:19 time: 0.4241 data_time: 0.0154 memory: 17087 grad_norm: 4.8899 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1404 loss: 2.1404 2022/08/03 12:04:35 - mmengine - INFO - Epoch(train) [13][1680/1879] lr: 1.0000e-02 eta: 2 days, 6:35:13 time: 0.4366 data_time: 0.0149 memory: 17087 grad_norm: 4.8474 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9906 loss: 1.9906 2022/08/03 12:04:43 - mmengine - INFO - Epoch(train) [13][1700/1879] lr: 1.0000e-02 eta: 2 days, 6:35:05 time: 0.4325 data_time: 0.0192 memory: 17087 grad_norm: 4.6803 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8747 loss: 1.8747 2022/08/03 12:04:52 - mmengine - INFO - Epoch(train) [13][1720/1879] lr: 1.0000e-02 eta: 2 days, 6:34:54 time: 0.4246 data_time: 0.0165 memory: 17087 grad_norm: 4.7118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0741 loss: 2.0741 2022/08/03 12:05:00 - mmengine - INFO - Epoch(train) [13][1740/1879] lr: 1.0000e-02 eta: 2 days, 6:34:43 time: 0.4243 data_time: 0.0150 memory: 17087 grad_norm: 4.8085 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0978 loss: 2.0978 2022/08/03 12:05:09 - mmengine - INFO - Epoch(train) [13][1760/1879] lr: 1.0000e-02 eta: 2 days, 6:34:33 time: 0.4266 data_time: 0.0198 memory: 17087 grad_norm: 4.7486 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 2.1596 loss: 2.1596 2022/08/03 12:05:17 - mmengine - INFO - Epoch(train) [13][1780/1879] lr: 1.0000e-02 eta: 2 days, 6:34:23 time: 0.4255 data_time: 0.0165 memory: 17087 grad_norm: 4.9170 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0403 loss: 2.0403 2022/08/03 12:05:26 - mmengine - INFO - Epoch(train) [13][1800/1879] lr: 1.0000e-02 eta: 2 days, 6:34:13 time: 0.4252 data_time: 0.0157 memory: 17087 grad_norm: 4.8334 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.4144 loss: 2.4144 2022/08/03 12:05:35 - mmengine - INFO - Epoch(train) [13][1820/1879] lr: 1.0000e-02 eta: 2 days, 6:34:06 time: 0.4363 data_time: 0.0149 memory: 17087 grad_norm: 4.7192 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 2.0530 loss: 2.0530 2022/08/03 12:05:43 - mmengine - INFO - Epoch(train) [13][1840/1879] lr: 1.0000e-02 eta: 2 days, 6:33:58 time: 0.4319 data_time: 0.0158 memory: 17087 grad_norm: 4.8321 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9607 loss: 1.9607 2022/08/03 12:05:52 - mmengine - INFO - Epoch(train) [13][1860/1879] lr: 1.0000e-02 eta: 2 days, 6:33:56 time: 0.4458 data_time: 0.0226 memory: 17087 grad_norm: 4.8795 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8885 loss: 1.8885 2022/08/03 12:06:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:06:00 - mmengine - INFO - Epoch(train) [13][1879/1879] lr: 1.0000e-02 eta: 2 days, 6:33:56 time: 0.4070 data_time: 0.0145 memory: 17087 grad_norm: 4.8308 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 2.0240 loss: 2.0240 2022/08/03 12:06:12 - mmengine - INFO - Epoch(train) [14][20/1879] lr: 1.0000e-02 eta: 2 days, 6:32:08 time: 0.5969 data_time: 0.1526 memory: 17087 grad_norm: 4.8123 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0003 loss: 2.0003 2022/08/03 12:06:20 - mmengine - INFO - Epoch(train) [14][40/1879] lr: 1.0000e-02 eta: 2 days, 6:31:58 time: 0.4259 data_time: 0.0163 memory: 17087 grad_norm: 4.7423 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9561 loss: 1.9561 2022/08/03 12:06:29 - mmengine - INFO - Epoch(train) [14][60/1879] lr: 1.0000e-02 eta: 2 days, 6:31:47 time: 0.4224 data_time: 0.0150 memory: 17087 grad_norm: 4.6975 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9091 loss: 1.9091 2022/08/03 12:06:38 - mmengine - INFO - Epoch(train) [14][80/1879] lr: 1.0000e-02 eta: 2 days, 6:31:43 time: 0.4436 data_time: 0.0155 memory: 17087 grad_norm: 4.9609 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0505 loss: 2.0505 2022/08/03 12:06:46 - mmengine - INFO - Epoch(train) [14][100/1879] lr: 1.0000e-02 eta: 2 days, 6:31:33 time: 0.4245 data_time: 0.0134 memory: 17087 grad_norm: 4.7342 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1176 loss: 2.1176 2022/08/03 12:06:55 - mmengine - INFO - Epoch(train) [14][120/1879] lr: 1.0000e-02 eta: 2 days, 6:31:23 time: 0.4268 data_time: 0.0158 memory: 17087 grad_norm: 4.7691 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 2.0045 loss: 2.0045 2022/08/03 12:07:03 - mmengine - INFO - Epoch(train) [14][140/1879] lr: 1.0000e-02 eta: 2 days, 6:31:14 time: 0.4285 data_time: 0.0146 memory: 17087 grad_norm: 4.9554 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9439 loss: 1.9439 2022/08/03 12:07:12 - mmengine - INFO - Epoch(train) [14][160/1879] lr: 1.0000e-02 eta: 2 days, 6:31:04 time: 0.4259 data_time: 0.0172 memory: 17087 grad_norm: 4.9678 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9927 loss: 1.9927 2022/08/03 12:07:20 - mmengine - INFO - Epoch(train) [14][180/1879] lr: 1.0000e-02 eta: 2 days, 6:30:53 time: 0.4233 data_time: 0.0148 memory: 17087 grad_norm: 4.7787 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0141 loss: 2.0141 2022/08/03 12:07:29 - mmengine - INFO - Epoch(train) [14][200/1879] lr: 1.0000e-02 eta: 2 days, 6:30:41 time: 0.4228 data_time: 0.0161 memory: 17087 grad_norm: 4.8372 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0444 loss: 2.0444 2022/08/03 12:07:38 - mmengine - INFO - Epoch(train) [14][220/1879] lr: 1.0000e-02 eta: 2 days, 6:30:36 time: 0.4395 data_time: 0.0134 memory: 17087 grad_norm: 4.8633 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9515 loss: 1.9515 2022/08/03 12:07:46 - mmengine - INFO - Epoch(train) [14][240/1879] lr: 1.0000e-02 eta: 2 days, 6:30:27 time: 0.4292 data_time: 0.0201 memory: 17087 grad_norm: 4.7317 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9478 loss: 1.9478 2022/08/03 12:07:55 - mmengine - INFO - Epoch(train) [14][260/1879] lr: 1.0000e-02 eta: 2 days, 6:30:25 time: 0.4456 data_time: 0.0146 memory: 17087 grad_norm: 4.8221 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1020 loss: 2.1020 2022/08/03 12:08:04 - mmengine - INFO - Epoch(train) [14][280/1879] lr: 1.0000e-02 eta: 2 days, 6:30:13 time: 0.4233 data_time: 0.0151 memory: 17087 grad_norm: 4.8680 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1937 loss: 2.1937 2022/08/03 12:08:12 - mmengine - INFO - Epoch(train) [14][300/1879] lr: 1.0000e-02 eta: 2 days, 6:30:10 time: 0.4444 data_time: 0.0137 memory: 17087 grad_norm: 4.7337 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0829 loss: 2.0829 2022/08/03 12:08:21 - mmengine - INFO - Epoch(train) [14][320/1879] lr: 1.0000e-02 eta: 2 days, 6:30:00 time: 0.4269 data_time: 0.0167 memory: 17087 grad_norm: 4.8976 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0582 loss: 2.0582 2022/08/03 12:08:29 - mmengine - INFO - Epoch(train) [14][340/1879] lr: 1.0000e-02 eta: 2 days, 6:29:49 time: 0.4226 data_time: 0.0118 memory: 17087 grad_norm: 4.8637 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0170 loss: 2.0170 2022/08/03 12:08:38 - mmengine - INFO - Epoch(train) [14][360/1879] lr: 1.0000e-02 eta: 2 days, 6:29:42 time: 0.4331 data_time: 0.0144 memory: 17087 grad_norm: 4.8574 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1818 loss: 2.1818 2022/08/03 12:08:47 - mmengine - INFO - Epoch(train) [14][380/1879] lr: 1.0000e-02 eta: 2 days, 6:29:31 time: 0.4246 data_time: 0.0161 memory: 17087 grad_norm: 4.7915 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9936 loss: 1.9936 2022/08/03 12:08:55 - mmengine - INFO - Epoch(train) [14][400/1879] lr: 1.0000e-02 eta: 2 days, 6:29:20 time: 0.4236 data_time: 0.0158 memory: 17087 grad_norm: 4.7859 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1737 loss: 2.1737 2022/08/03 12:09:04 - mmengine - INFO - Epoch(train) [14][420/1879] lr: 1.0000e-02 eta: 2 days, 6:29:18 time: 0.4472 data_time: 0.0136 memory: 17087 grad_norm: 4.8613 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.2756 loss: 2.2756 2022/08/03 12:09:13 - mmengine - INFO - Epoch(train) [14][440/1879] lr: 1.0000e-02 eta: 2 days, 6:29:08 time: 0.4261 data_time: 0.0176 memory: 17087 grad_norm: 4.7140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8273 loss: 1.8273 2022/08/03 12:09:21 - mmengine - INFO - Epoch(train) [14][460/1879] lr: 1.0000e-02 eta: 2 days, 6:29:00 time: 0.4336 data_time: 0.0148 memory: 17087 grad_norm: 4.9812 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.9310 loss: 1.9310 2022/08/03 12:09:30 - mmengine - INFO - Epoch(train) [14][480/1879] lr: 1.0000e-02 eta: 2 days, 6:28:50 time: 0.4245 data_time: 0.0150 memory: 17087 grad_norm: 4.9118 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0577 loss: 2.0577 2022/08/03 12:09:38 - mmengine - INFO - Epoch(train) [14][500/1879] lr: 1.0000e-02 eta: 2 days, 6:28:38 time: 0.4217 data_time: 0.0137 memory: 17087 grad_norm: 4.9084 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.9173 loss: 1.9173 2022/08/03 12:09:47 - mmengine - INFO - Epoch(train) [14][520/1879] lr: 1.0000e-02 eta: 2 days, 6:28:28 time: 0.4248 data_time: 0.0174 memory: 17087 grad_norm: 5.0074 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2195 loss: 2.2195 2022/08/03 12:09:55 - mmengine - INFO - Epoch(train) [14][540/1879] lr: 1.0000e-02 eta: 2 days, 6:28:16 time: 0.4226 data_time: 0.0141 memory: 17087 grad_norm: 4.8518 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7869 loss: 1.7869 2022/08/03 12:10:04 - mmengine - INFO - Epoch(train) [14][560/1879] lr: 1.0000e-02 eta: 2 days, 6:28:09 time: 0.4324 data_time: 0.0190 memory: 17087 grad_norm: 4.8484 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0226 loss: 2.0226 2022/08/03 12:10:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:10:12 - mmengine - INFO - Epoch(train) [14][580/1879] lr: 1.0000e-02 eta: 2 days, 6:27:58 time: 0.4230 data_time: 0.0159 memory: 17087 grad_norm: 4.7046 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9820 loss: 1.9820 2022/08/03 12:10:21 - mmengine - INFO - Epoch(train) [14][600/1879] lr: 1.0000e-02 eta: 2 days, 6:27:54 time: 0.4445 data_time: 0.0175 memory: 17087 grad_norm: 4.7062 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0985 loss: 2.0985 2022/08/03 12:10:30 - mmengine - INFO - Epoch(train) [14][620/1879] lr: 1.0000e-02 eta: 2 days, 6:27:43 time: 0.4236 data_time: 0.0154 memory: 17087 grad_norm: 4.9112 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.1157 loss: 2.1157 2022/08/03 12:10:38 - mmengine - INFO - Epoch(train) [14][640/1879] lr: 1.0000e-02 eta: 2 days, 6:27:33 time: 0.4243 data_time: 0.0152 memory: 17087 grad_norm: 4.8261 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.1871 loss: 2.1871 2022/08/03 12:10:47 - mmengine - INFO - Epoch(train) [14][660/1879] lr: 1.0000e-02 eta: 2 days, 6:27:23 time: 0.4262 data_time: 0.0138 memory: 17087 grad_norm: 4.7471 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0966 loss: 2.0966 2022/08/03 12:10:55 - mmengine - INFO - Epoch(train) [14][680/1879] lr: 1.0000e-02 eta: 2 days, 6:27:12 time: 0.4247 data_time: 0.0156 memory: 17087 grad_norm: 4.8246 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9720 loss: 1.9720 2022/08/03 12:11:04 - mmengine - INFO - Epoch(train) [14][700/1879] lr: 1.0000e-02 eta: 2 days, 6:27:10 time: 0.4489 data_time: 0.0148 memory: 17087 grad_norm: 4.6720 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2750 loss: 2.2750 2022/08/03 12:11:13 - mmengine - INFO - Epoch(train) [14][720/1879] lr: 1.0000e-02 eta: 2 days, 6:27:00 time: 0.4236 data_time: 0.0184 memory: 17087 grad_norm: 4.8877 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0213 loss: 2.0213 2022/08/03 12:11:21 - mmengine - INFO - Epoch(train) [14][740/1879] lr: 1.0000e-02 eta: 2 days, 6:26:55 time: 0.4409 data_time: 0.0152 memory: 17087 grad_norm: 4.7670 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8721 loss: 1.8721 2022/08/03 12:11:30 - mmengine - INFO - Epoch(train) [14][760/1879] lr: 1.0000e-02 eta: 2 days, 6:26:44 time: 0.4240 data_time: 0.0161 memory: 17087 grad_norm: 4.7183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0245 loss: 2.0245 2022/08/03 12:11:38 - mmengine - INFO - Epoch(train) [14][780/1879] lr: 1.0000e-02 eta: 2 days, 6:26:33 time: 0.4232 data_time: 0.0138 memory: 17087 grad_norm: 4.9137 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1343 loss: 2.1343 2022/08/03 12:11:47 - mmengine - INFO - Epoch(train) [14][800/1879] lr: 1.0000e-02 eta: 2 days, 6:26:29 time: 0.4421 data_time: 0.0158 memory: 17087 grad_norm: 4.8989 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1822 loss: 2.1822 2022/08/03 12:11:56 - mmengine - INFO - Epoch(train) [14][820/1879] lr: 1.0000e-02 eta: 2 days, 6:26:18 time: 0.4239 data_time: 0.0137 memory: 17087 grad_norm: 4.7501 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0171 loss: 2.0171 2022/08/03 12:12:04 - mmengine - INFO - Epoch(train) [14][840/1879] lr: 1.0000e-02 eta: 2 days, 6:26:14 time: 0.4421 data_time: 0.0176 memory: 17087 grad_norm: 4.8437 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.1235 loss: 2.1235 2022/08/03 12:12:13 - mmengine - INFO - Epoch(train) [14][860/1879] lr: 1.0000e-02 eta: 2 days, 6:26:03 time: 0.4240 data_time: 0.0151 memory: 17087 grad_norm: 4.7947 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9282 loss: 1.9282 2022/08/03 12:12:22 - mmengine - INFO - Epoch(train) [14][880/1879] lr: 1.0000e-02 eta: 2 days, 6:25:54 time: 0.4274 data_time: 0.0184 memory: 17087 grad_norm: 4.8026 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0676 loss: 2.0676 2022/08/03 12:12:30 - mmengine - INFO - Epoch(train) [14][900/1879] lr: 1.0000e-02 eta: 2 days, 6:25:43 time: 0.4238 data_time: 0.0162 memory: 17087 grad_norm: 4.9746 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0007 loss: 2.0007 2022/08/03 12:12:38 - mmengine - INFO - Epoch(train) [14][920/1879] lr: 1.0000e-02 eta: 2 days, 6:25:32 time: 0.4232 data_time: 0.0141 memory: 17087 grad_norm: 4.7510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.1916 loss: 2.1916 2022/08/03 12:12:47 - mmengine - INFO - Epoch(train) [14][940/1879] lr: 1.0000e-02 eta: 2 days, 6:25:22 time: 0.4259 data_time: 0.0156 memory: 17087 grad_norm: 4.7537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8115 loss: 1.8115 2022/08/03 12:12:56 - mmengine - INFO - Epoch(train) [14][960/1879] lr: 1.0000e-02 eta: 2 days, 6:25:12 time: 0.4265 data_time: 0.0158 memory: 17087 grad_norm: 4.8026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0454 loss: 2.0454 2022/08/03 12:13:04 - mmengine - INFO - Epoch(train) [14][980/1879] lr: 1.0000e-02 eta: 2 days, 6:25:09 time: 0.4454 data_time: 0.0156 memory: 17087 grad_norm: 4.7630 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.8185 loss: 1.8185 2022/08/03 12:13:13 - mmengine - INFO - Epoch(train) [14][1000/1879] lr: 1.0000e-02 eta: 2 days, 6:24:58 time: 0.4247 data_time: 0.0157 memory: 17087 grad_norm: 4.9008 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1176 loss: 2.1176 2022/08/03 12:13:22 - mmengine - INFO - Epoch(train) [14][1020/1879] lr: 1.0000e-02 eta: 2 days, 6:24:55 time: 0.4443 data_time: 0.0143 memory: 17087 grad_norm: 4.6520 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0853 loss: 2.0853 2022/08/03 12:13:30 - mmengine - INFO - Epoch(train) [14][1040/1879] lr: 1.0000e-02 eta: 2 days, 6:24:44 time: 0.4235 data_time: 0.0146 memory: 17087 grad_norm: 4.8530 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9735 loss: 1.9735 2022/08/03 12:13:39 - mmengine - INFO - Epoch(train) [14][1060/1879] lr: 1.0000e-02 eta: 2 days, 6:24:34 time: 0.4273 data_time: 0.0192 memory: 17087 grad_norm: 4.8784 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8797 loss: 1.8797 2022/08/03 12:13:47 - mmengine - INFO - Epoch(train) [14][1080/1879] lr: 1.0000e-02 eta: 2 days, 6:24:24 time: 0.4255 data_time: 0.0159 memory: 17087 grad_norm: 4.7987 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1544 loss: 2.1544 2022/08/03 12:13:56 - mmengine - INFO - Epoch(train) [14][1100/1879] lr: 1.0000e-02 eta: 2 days, 6:24:13 time: 0.4240 data_time: 0.0151 memory: 17087 grad_norm: 4.8918 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1554 loss: 2.1554 2022/08/03 12:14:05 - mmengine - INFO - Epoch(train) [14][1120/1879] lr: 1.0000e-02 eta: 2 days, 6:24:13 time: 0.4535 data_time: 0.0159 memory: 17087 grad_norm: 4.9084 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0286 loss: 2.0286 2022/08/03 12:14:13 - mmengine - INFO - Epoch(train) [14][1140/1879] lr: 1.0000e-02 eta: 2 days, 6:24:04 time: 0.4282 data_time: 0.0203 memory: 17087 grad_norm: 4.8075 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0045 loss: 2.0045 2022/08/03 12:14:22 - mmengine - INFO - Epoch(train) [14][1160/1879] lr: 1.0000e-02 eta: 2 days, 6:24:02 time: 0.4476 data_time: 0.0156 memory: 17087 grad_norm: 4.6766 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1069 loss: 2.1069 2022/08/03 12:14:31 - mmengine - INFO - Epoch(train) [14][1180/1879] lr: 1.0000e-02 eta: 2 days, 6:23:51 time: 0.4238 data_time: 0.0141 memory: 17087 grad_norm: 4.9221 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0014 loss: 2.0014 2022/08/03 12:14:39 - mmengine - INFO - Epoch(train) [14][1200/1879] lr: 1.0000e-02 eta: 2 days, 6:23:42 time: 0.4294 data_time: 0.0189 memory: 17087 grad_norm: 4.5598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0426 loss: 2.0426 2022/08/03 12:14:48 - mmengine - INFO - Epoch(train) [14][1220/1879] lr: 1.0000e-02 eta: 2 days, 6:23:38 time: 0.4426 data_time: 0.0151 memory: 17087 grad_norm: 4.6893 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9850 loss: 1.9850 2022/08/03 12:14:57 - mmengine - INFO - Epoch(train) [14][1240/1879] lr: 1.0000e-02 eta: 2 days, 6:23:29 time: 0.4289 data_time: 0.0207 memory: 17087 grad_norm: 4.7893 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.2394 loss: 2.2394 2022/08/03 12:15:06 - mmengine - INFO - Epoch(train) [14][1260/1879] lr: 1.0000e-02 eta: 2 days, 6:23:26 time: 0.4456 data_time: 0.0170 memory: 17087 grad_norm: 4.9353 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1934 loss: 2.1934 2022/08/03 12:15:14 - mmengine - INFO - Epoch(train) [14][1280/1879] lr: 1.0000e-02 eta: 2 days, 6:23:14 time: 0.4225 data_time: 0.0152 memory: 17087 grad_norm: 4.6706 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0742 loss: 2.0742 2022/08/03 12:15:23 - mmengine - INFO - Epoch(train) [14][1300/1879] lr: 1.0000e-02 eta: 2 days, 6:23:05 time: 0.4266 data_time: 0.0178 memory: 17087 grad_norm: 4.7543 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9601 loss: 1.9601 2022/08/03 12:15:31 - mmengine - INFO - Epoch(train) [14][1320/1879] lr: 1.0000e-02 eta: 2 days, 6:22:54 time: 0.4240 data_time: 0.0151 memory: 17087 grad_norm: 4.7863 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0484 loss: 2.0484 2022/08/03 12:15:40 - mmengine - INFO - Epoch(train) [14][1340/1879] lr: 1.0000e-02 eta: 2 days, 6:22:44 time: 0.4253 data_time: 0.0151 memory: 17087 grad_norm: 4.8545 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9570 loss: 1.9570 2022/08/03 12:15:48 - mmengine - INFO - Epoch(train) [14][1360/1879] lr: 1.0000e-02 eta: 2 days, 6:22:34 time: 0.4273 data_time: 0.0163 memory: 17087 grad_norm: 4.7113 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9401 loss: 1.9401 2022/08/03 12:15:57 - mmengine - INFO - Epoch(train) [14][1380/1879] lr: 1.0000e-02 eta: 2 days, 6:22:23 time: 0.4229 data_time: 0.0142 memory: 17087 grad_norm: 4.8399 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0280 loss: 2.0280 2022/08/03 12:16:06 - mmengine - INFO - Epoch(train) [14][1400/1879] lr: 1.0000e-02 eta: 2 days, 6:22:22 time: 0.4509 data_time: 0.0171 memory: 17087 grad_norm: 4.7392 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0160 loss: 2.0160 2022/08/03 12:16:14 - mmengine - INFO - Epoch(train) [14][1420/1879] lr: 1.0000e-02 eta: 2 days, 6:22:10 time: 0.4215 data_time: 0.0140 memory: 17087 grad_norm: 4.7820 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9586 loss: 1.9586 2022/08/03 12:16:23 - mmengine - INFO - Epoch(train) [14][1440/1879] lr: 1.0000e-02 eta: 2 days, 6:22:03 time: 0.4339 data_time: 0.0209 memory: 17087 grad_norm: 4.7763 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9389 loss: 1.9389 2022/08/03 12:16:31 - mmengine - INFO - Epoch(train) [14][1460/1879] lr: 1.0000e-02 eta: 2 days, 6:21:52 time: 0.4229 data_time: 0.0138 memory: 17087 grad_norm: 4.8359 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.1290 loss: 2.1290 2022/08/03 12:16:40 - mmengine - INFO - Epoch(train) [14][1480/1879] lr: 1.0000e-02 eta: 2 days, 6:21:41 time: 0.4239 data_time: 0.0150 memory: 17087 grad_norm: 4.8117 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.1287 loss: 2.1287 2022/08/03 12:16:49 - mmengine - INFO - Epoch(train) [14][1500/1879] lr: 1.0000e-02 eta: 2 days, 6:21:41 time: 0.4533 data_time: 0.0146 memory: 17087 grad_norm: 4.8961 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.3528 loss: 2.3528 2022/08/03 12:16:57 - mmengine - INFO - Epoch(train) [14][1520/1879] lr: 1.0000e-02 eta: 2 days, 6:21:29 time: 0.4228 data_time: 0.0158 memory: 17087 grad_norm: 4.8924 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0353 loss: 2.0353 2022/08/03 12:17:06 - mmengine - INFO - Epoch(train) [14][1540/1879] lr: 1.0000e-02 eta: 2 days, 6:21:20 time: 0.4266 data_time: 0.0152 memory: 17087 grad_norm: 4.9291 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.9366 loss: 1.9366 2022/08/03 12:17:14 - mmengine - INFO - Epoch(train) [14][1560/1879] lr: 1.0000e-02 eta: 2 days, 6:21:09 time: 0.4245 data_time: 0.0147 memory: 17087 grad_norm: 4.8788 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9477 loss: 1.9477 2022/08/03 12:17:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:17:23 - mmengine - INFO - Epoch(train) [14][1580/1879] lr: 1.0000e-02 eta: 2 days, 6:21:00 time: 0.4272 data_time: 0.0165 memory: 17087 grad_norm: 4.8487 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0980 loss: 2.0980 2022/08/03 12:17:31 - mmengine - INFO - Epoch(train) [14][1600/1879] lr: 1.0000e-02 eta: 2 days, 6:20:49 time: 0.4251 data_time: 0.0169 memory: 17087 grad_norm: 4.8204 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 2.0876 loss: 2.0876 2022/08/03 12:17:40 - mmengine - INFO - Epoch(train) [14][1620/1879] lr: 1.0000e-02 eta: 2 days, 6:20:38 time: 0.4227 data_time: 0.0156 memory: 17087 grad_norm: 4.8527 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1116 loss: 2.1116 2022/08/03 12:17:49 - mmengine - INFO - Epoch(train) [14][1640/1879] lr: 1.0000e-02 eta: 2 days, 6:20:35 time: 0.4450 data_time: 0.0150 memory: 17087 grad_norm: 4.9163 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9525 loss: 1.9525 2022/08/03 12:17:57 - mmengine - INFO - Epoch(train) [14][1660/1879] lr: 1.0000e-02 eta: 2 days, 6:20:24 time: 0.4231 data_time: 0.0141 memory: 17087 grad_norm: 4.8128 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1805 loss: 2.1805 2022/08/03 12:18:06 - mmengine - INFO - Epoch(train) [14][1680/1879] lr: 1.0000e-02 eta: 2 days, 6:20:13 time: 0.4249 data_time: 0.0175 memory: 17087 grad_norm: 4.7764 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0306 loss: 2.0306 2022/08/03 12:18:14 - mmengine - INFO - Epoch(train) [14][1700/1879] lr: 1.0000e-02 eta: 2 days, 6:20:02 time: 0.4211 data_time: 0.0132 memory: 17087 grad_norm: 4.7988 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.4722 loss: 2.4722 2022/08/03 12:18:23 - mmengine - INFO - Epoch(train) [14][1720/1879] lr: 1.0000e-02 eta: 2 days, 6:19:55 time: 0.4365 data_time: 0.0149 memory: 17087 grad_norm: 4.7317 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1719 loss: 2.1719 2022/08/03 12:18:31 - mmengine - INFO - Epoch(train) [14][1740/1879] lr: 1.0000e-02 eta: 2 days, 6:19:45 time: 0.4235 data_time: 0.0145 memory: 17087 grad_norm: 4.6967 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.2020 loss: 2.2020 2022/08/03 12:18:40 - mmengine - INFO - Epoch(train) [14][1760/1879] lr: 1.0000e-02 eta: 2 days, 6:19:34 time: 0.4244 data_time: 0.0153 memory: 17087 grad_norm: 4.8577 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0533 loss: 2.0533 2022/08/03 12:18:48 - mmengine - INFO - Epoch(train) [14][1780/1879] lr: 1.0000e-02 eta: 2 days, 6:19:23 time: 0.4244 data_time: 0.0159 memory: 17087 grad_norm: 4.5874 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8862 loss: 1.8862 2022/08/03 12:18:57 - mmengine - INFO - Epoch(train) [14][1800/1879] lr: 1.0000e-02 eta: 2 days, 6:19:13 time: 0.4248 data_time: 0.0176 memory: 17087 grad_norm: 4.7434 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.2595 loss: 2.2595 2022/08/03 12:19:06 - mmengine - INFO - Epoch(train) [14][1820/1879] lr: 1.0000e-02 eta: 2 days, 6:19:08 time: 0.4408 data_time: 0.0136 memory: 17087 grad_norm: 4.8155 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.2847 loss: 2.2847 2022/08/03 12:19:14 - mmengine - INFO - Epoch(train) [14][1840/1879] lr: 1.0000e-02 eta: 2 days, 6:18:57 time: 0.4234 data_time: 0.0153 memory: 17087 grad_norm: 4.8074 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1020 loss: 2.1020 2022/08/03 12:19:23 - mmengine - INFO - Epoch(train) [14][1860/1879] lr: 1.0000e-02 eta: 2 days, 6:18:52 time: 0.4400 data_time: 0.0172 memory: 17087 grad_norm: 4.9145 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9977 loss: 1.9977 2022/08/03 12:19:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:19:31 - mmengine - INFO - Epoch(train) [14][1879/1879] lr: 1.0000e-02 eta: 2 days, 6:18:52 time: 0.4052 data_time: 0.0144 memory: 17087 grad_norm: 5.0244 top1_acc: 0.1429 top5_acc: 0.4286 loss_cls: 2.2257 loss: 2.2257 2022/08/03 12:19:42 - mmengine - INFO - Epoch(train) [15][20/1879] lr: 1.0000e-02 eta: 2 days, 6:16:57 time: 0.5543 data_time: 0.1318 memory: 17087 grad_norm: 4.7043 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9541 loss: 1.9541 2022/08/03 12:19:50 - mmengine - INFO - Epoch(train) [15][40/1879] lr: 1.0000e-02 eta: 2 days, 6:16:47 time: 0.4236 data_time: 0.0155 memory: 17087 grad_norm: 4.7899 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1030 loss: 2.1030 2022/08/03 12:19:59 - mmengine - INFO - Epoch(train) [15][60/1879] lr: 1.0000e-02 eta: 2 days, 6:16:35 time: 0.4208 data_time: 0.0143 memory: 17087 grad_norm: 4.7652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.1052 loss: 2.1052 2022/08/03 12:20:07 - mmengine - INFO - Epoch(train) [15][80/1879] lr: 1.0000e-02 eta: 2 days, 6:16:26 time: 0.4301 data_time: 0.0171 memory: 17087 grad_norm: 4.7954 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8349 loss: 1.8349 2022/08/03 12:20:16 - mmengine - INFO - Epoch(train) [15][100/1879] lr: 1.0000e-02 eta: 2 days, 6:16:16 time: 0.4240 data_time: 0.0129 memory: 17087 grad_norm: 4.8009 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0480 loss: 2.0480 2022/08/03 12:20:24 - mmengine - INFO - Epoch(train) [15][120/1879] lr: 1.0000e-02 eta: 2 days, 6:16:06 time: 0.4265 data_time: 0.0189 memory: 17087 grad_norm: 4.8869 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9890 loss: 1.9890 2022/08/03 12:20:33 - mmengine - INFO - Epoch(train) [15][140/1879] lr: 1.0000e-02 eta: 2 days, 6:15:55 time: 0.4234 data_time: 0.0146 memory: 17087 grad_norm: 4.8206 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1219 loss: 2.1219 2022/08/03 12:20:41 - mmengine - INFO - Epoch(train) [15][160/1879] lr: 1.0000e-02 eta: 2 days, 6:15:47 time: 0.4298 data_time: 0.0174 memory: 17087 grad_norm: 4.7609 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1784 loss: 2.1784 2022/08/03 12:20:50 - mmengine - INFO - Epoch(train) [15][180/1879] lr: 1.0000e-02 eta: 2 days, 6:15:38 time: 0.4297 data_time: 0.0152 memory: 17087 grad_norm: 4.7582 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9247 loss: 1.9247 2022/08/03 12:20:58 - mmengine - INFO - Epoch(train) [15][200/1879] lr: 1.0000e-02 eta: 2 days, 6:15:27 time: 0.4238 data_time: 0.0146 memory: 17087 grad_norm: 4.7321 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0945 loss: 2.0945 2022/08/03 12:21:07 - mmengine - INFO - Epoch(train) [15][220/1879] lr: 1.0000e-02 eta: 2 days, 6:15:19 time: 0.4296 data_time: 0.0163 memory: 17087 grad_norm: 4.7994 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0483 loss: 2.0483 2022/08/03 12:21:16 - mmengine - INFO - Epoch(train) [15][240/1879] lr: 1.0000e-02 eta: 2 days, 6:15:08 time: 0.4239 data_time: 0.0149 memory: 17087 grad_norm: 4.6278 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1034 loss: 2.1034 2022/08/03 12:21:24 - mmengine - INFO - Epoch(train) [15][260/1879] lr: 1.0000e-02 eta: 2 days, 6:14:58 time: 0.4250 data_time: 0.0146 memory: 17087 grad_norm: 4.6538 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9997 loss: 1.9997 2022/08/03 12:21:33 - mmengine - INFO - Epoch(train) [15][280/1879] lr: 1.0000e-02 eta: 2 days, 6:14:47 time: 0.4240 data_time: 0.0150 memory: 17087 grad_norm: 4.7562 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0118 loss: 2.0118 2022/08/03 12:21:41 - mmengine - INFO - Epoch(train) [15][300/1879] lr: 1.0000e-02 eta: 2 days, 6:14:37 time: 0.4256 data_time: 0.0158 memory: 17087 grad_norm: 4.7966 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9672 loss: 1.9672 2022/08/03 12:21:50 - mmengine - INFO - Epoch(train) [15][320/1879] lr: 1.0000e-02 eta: 2 days, 6:14:27 time: 0.4254 data_time: 0.0179 memory: 17087 grad_norm: 4.7700 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9888 loss: 1.9888 2022/08/03 12:21:58 - mmengine - INFO - Epoch(train) [15][340/1879] lr: 1.0000e-02 eta: 2 days, 6:14:16 time: 0.4215 data_time: 0.0131 memory: 17087 grad_norm: 4.7916 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9336 loss: 1.9336 2022/08/03 12:22:07 - mmengine - INFO - Epoch(train) [15][360/1879] lr: 1.0000e-02 eta: 2 days, 6:14:09 time: 0.4334 data_time: 0.0160 memory: 17087 grad_norm: 4.8013 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.9831 loss: 1.9831 2022/08/03 12:22:15 - mmengine - INFO - Epoch(train) [15][380/1879] lr: 1.0000e-02 eta: 2 days, 6:13:58 time: 0.4247 data_time: 0.0135 memory: 17087 grad_norm: 4.7668 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9963 loss: 1.9963 2022/08/03 12:22:24 - mmengine - INFO - Epoch(train) [15][400/1879] lr: 1.0000e-02 eta: 2 days, 6:13:51 time: 0.4338 data_time: 0.0167 memory: 17087 grad_norm: 4.8965 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0388 loss: 2.0388 2022/08/03 12:22:32 - mmengine - INFO - Epoch(train) [15][420/1879] lr: 1.0000e-02 eta: 2 days, 6:13:41 time: 0.4247 data_time: 0.0141 memory: 17087 grad_norm: 4.6240 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9812 loss: 1.9812 2022/08/03 12:22:41 - mmengine - INFO - Epoch(train) [15][440/1879] lr: 1.0000e-02 eta: 2 days, 6:13:31 time: 0.4248 data_time: 0.0151 memory: 17087 grad_norm: 4.6639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9807 loss: 1.9807 2022/08/03 12:22:50 - mmengine - INFO - Epoch(train) [15][460/1879] lr: 1.0000e-02 eta: 2 days, 6:13:26 time: 0.4417 data_time: 0.0144 memory: 17087 grad_norm: 4.8747 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1045 loss: 2.1045 2022/08/03 12:22:58 - mmengine - INFO - Epoch(train) [15][480/1879] lr: 1.0000e-02 eta: 2 days, 6:13:15 time: 0.4237 data_time: 0.0147 memory: 17087 grad_norm: 4.7129 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 2.1887 loss: 2.1887 2022/08/03 12:23:07 - mmengine - INFO - Epoch(train) [15][500/1879] lr: 1.0000e-02 eta: 2 days, 6:13:11 time: 0.4430 data_time: 0.0138 memory: 17087 grad_norm: 4.6505 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8758 loss: 1.8758 2022/08/03 12:23:16 - mmengine - INFO - Epoch(train) [15][520/1879] lr: 1.0000e-02 eta: 2 days, 6:13:01 time: 0.4256 data_time: 0.0147 memory: 17087 grad_norm: 4.7990 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0904 loss: 2.0904 2022/08/03 12:23:24 - mmengine - INFO - Epoch(train) [15][540/1879] lr: 1.0000e-02 eta: 2 days, 6:12:52 time: 0.4263 data_time: 0.0156 memory: 17087 grad_norm: 4.7639 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9530 loss: 1.9530 2022/08/03 12:23:33 - mmengine - INFO - Epoch(train) [15][560/1879] lr: 1.0000e-02 eta: 2 days, 6:12:41 time: 0.4242 data_time: 0.0150 memory: 17087 grad_norm: 4.7930 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9463 loss: 1.9463 2022/08/03 12:23:41 - mmengine - INFO - Epoch(train) [15][580/1879] lr: 1.0000e-02 eta: 2 days, 6:12:30 time: 0.4233 data_time: 0.0161 memory: 17087 grad_norm: 4.7355 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9709 loss: 1.9709 2022/08/03 12:23:50 - mmengine - INFO - Epoch(train) [15][600/1879] lr: 1.0000e-02 eta: 2 days, 6:12:20 time: 0.4251 data_time: 0.0175 memory: 17087 grad_norm: 4.8378 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0572 loss: 2.0572 2022/08/03 12:23:58 - mmengine - INFO - Epoch(train) [15][620/1879] lr: 1.0000e-02 eta: 2 days, 6:12:10 time: 0.4239 data_time: 0.0141 memory: 17087 grad_norm: 4.7942 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1051 loss: 2.1051 2022/08/03 12:24:07 - mmengine - INFO - Epoch(train) [15][640/1879] lr: 1.0000e-02 eta: 2 days, 6:12:02 time: 0.4338 data_time: 0.0162 memory: 17087 grad_norm: 4.8099 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7183 loss: 1.7183 2022/08/03 12:24:15 - mmengine - INFO - Epoch(train) [15][660/1879] lr: 1.0000e-02 eta: 2 days, 6:11:52 time: 0.4250 data_time: 0.0143 memory: 17087 grad_norm: 4.5966 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.8539 loss: 1.8539 2022/08/03 12:24:24 - mmengine - INFO - Epoch(train) [15][680/1879] lr: 1.0000e-02 eta: 2 days, 6:11:42 time: 0.4261 data_time: 0.0166 memory: 17087 grad_norm: 4.7611 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0341 loss: 2.0341 2022/08/03 12:24:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:24:32 - mmengine - INFO - Epoch(train) [15][700/1879] lr: 1.0000e-02 eta: 2 days, 6:11:31 time: 0.4227 data_time: 0.0132 memory: 17087 grad_norm: 4.7793 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1530 loss: 2.1530 2022/08/03 12:24:41 - mmengine - INFO - Epoch(train) [15][720/1879] lr: 1.0000e-02 eta: 2 days, 6:11:21 time: 0.4231 data_time: 0.0145 memory: 17087 grad_norm: 4.9607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0580 loss: 2.0580 2022/08/03 12:24:49 - mmengine - INFO - Epoch(train) [15][740/1879] lr: 1.0000e-02 eta: 2 days, 6:11:11 time: 0.4282 data_time: 0.0155 memory: 17087 grad_norm: 4.8728 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0798 loss: 2.0798 2022/08/03 12:24:58 - mmengine - INFO - Epoch(train) [15][760/1879] lr: 1.0000e-02 eta: 2 days, 6:11:01 time: 0.4237 data_time: 0.0159 memory: 17087 grad_norm: 4.9024 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2104 loss: 2.2104 2022/08/03 12:25:06 - mmengine - INFO - Epoch(train) [15][780/1879] lr: 1.0000e-02 eta: 2 days, 6:10:51 time: 0.4245 data_time: 0.0149 memory: 17087 grad_norm: 4.6433 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7768 loss: 1.7768 2022/08/03 12:25:15 - mmengine - INFO - Epoch(train) [15][800/1879] lr: 1.0000e-02 eta: 2 days, 6:10:40 time: 0.4249 data_time: 0.0162 memory: 17087 grad_norm: 4.7653 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0125 loss: 2.0125 2022/08/03 12:25:23 - mmengine - INFO - Epoch(train) [15][820/1879] lr: 1.0000e-02 eta: 2 days, 6:10:30 time: 0.4239 data_time: 0.0151 memory: 17087 grad_norm: 4.8955 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9726 loss: 1.9726 2022/08/03 12:25:32 - mmengine - INFO - Epoch(train) [15][840/1879] lr: 1.0000e-02 eta: 2 days, 6:10:19 time: 0.4245 data_time: 0.0144 memory: 17087 grad_norm: 4.8473 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 2.0830 loss: 2.0830 2022/08/03 12:25:40 - mmengine - INFO - Epoch(train) [15][860/1879] lr: 1.0000e-02 eta: 2 days, 6:10:09 time: 0.4228 data_time: 0.0147 memory: 17087 grad_norm: 4.8255 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0145 loss: 2.0145 2022/08/03 12:25:49 - mmengine - INFO - Epoch(train) [15][880/1879] lr: 1.0000e-02 eta: 2 days, 6:10:04 time: 0.4422 data_time: 0.0163 memory: 17087 grad_norm: 4.7983 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9414 loss: 1.9414 2022/08/03 12:25:57 - mmengine - INFO - Epoch(train) [15][900/1879] lr: 1.0000e-02 eta: 2 days, 6:09:53 time: 0.4217 data_time: 0.0125 memory: 17087 grad_norm: 4.8015 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9156 loss: 1.9156 2022/08/03 12:26:06 - mmengine - INFO - Epoch(train) [15][920/1879] lr: 1.0000e-02 eta: 2 days, 6:09:46 time: 0.4335 data_time: 0.0173 memory: 17087 grad_norm: 4.7898 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0188 loss: 2.0188 2022/08/03 12:26:14 - mmengine - INFO - Epoch(train) [15][940/1879] lr: 1.0000e-02 eta: 2 days, 6:09:35 time: 0.4237 data_time: 0.0133 memory: 17087 grad_norm: 4.8010 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9551 loss: 1.9551 2022/08/03 12:26:23 - mmengine - INFO - Epoch(train) [15][960/1879] lr: 1.0000e-02 eta: 2 days, 6:09:25 time: 0.4243 data_time: 0.0160 memory: 17087 grad_norm: 4.6754 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0221 loss: 2.0221 2022/08/03 12:26:31 - mmengine - INFO - Epoch(train) [15][980/1879] lr: 1.0000e-02 eta: 2 days, 6:09:14 time: 0.4228 data_time: 0.0138 memory: 17087 grad_norm: 4.7874 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0488 loss: 2.0488 2022/08/03 12:26:40 - mmengine - INFO - Epoch(train) [15][1000/1879] lr: 1.0000e-02 eta: 2 days, 6:09:03 time: 0.4242 data_time: 0.0152 memory: 17087 grad_norm: 4.7832 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1235 loss: 2.1235 2022/08/03 12:26:49 - mmengine - INFO - Epoch(train) [15][1020/1879] lr: 1.0000e-02 eta: 2 days, 6:09:00 time: 0.4458 data_time: 0.0146 memory: 17087 grad_norm: 4.7833 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9377 loss: 1.9377 2022/08/03 12:26:57 - mmengine - INFO - Epoch(train) [15][1040/1879] lr: 1.0000e-02 eta: 2 days, 6:08:50 time: 0.4241 data_time: 0.0156 memory: 17087 grad_norm: 4.7059 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9211 loss: 1.9211 2022/08/03 12:27:06 - mmengine - INFO - Epoch(train) [15][1060/1879] lr: 1.0000e-02 eta: 2 days, 6:08:39 time: 0.4245 data_time: 0.0157 memory: 17087 grad_norm: 4.7011 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9819 loss: 1.9819 2022/08/03 12:27:14 - mmengine - INFO - Epoch(train) [15][1080/1879] lr: 1.0000e-02 eta: 2 days, 6:08:29 time: 0.4238 data_time: 0.0159 memory: 17087 grad_norm: 4.8631 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9943 loss: 1.9943 2022/08/03 12:27:24 - mmengine - INFO - Epoch(train) [15][1100/1879] lr: 1.0000e-02 eta: 2 days, 6:08:46 time: 0.5088 data_time: 0.0142 memory: 17087 grad_norm: 4.7960 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0295 loss: 2.0295 2022/08/03 12:27:33 - mmengine - INFO - Epoch(train) [15][1120/1879] lr: 1.0000e-02 eta: 2 days, 6:08:36 time: 0.4236 data_time: 0.0183 memory: 17087 grad_norm: 4.7060 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1875 loss: 2.1875 2022/08/03 12:27:41 - mmengine - INFO - Epoch(train) [15][1140/1879] lr: 1.0000e-02 eta: 2 days, 6:08:25 time: 0.4225 data_time: 0.0139 memory: 17087 grad_norm: 4.6966 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9411 loss: 1.9411 2022/08/03 12:27:50 - mmengine - INFO - Epoch(train) [15][1160/1879] lr: 1.0000e-02 eta: 2 days, 6:08:18 time: 0.4338 data_time: 0.0182 memory: 17087 grad_norm: 4.8731 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.2725 loss: 2.2725 2022/08/03 12:27:59 - mmengine - INFO - Epoch(train) [15][1180/1879] lr: 1.0000e-02 eta: 2 days, 6:08:07 time: 0.4245 data_time: 0.0127 memory: 17087 grad_norm: 4.7777 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0094 loss: 2.0094 2022/08/03 12:28:07 - mmengine - INFO - Epoch(train) [15][1200/1879] lr: 1.0000e-02 eta: 2 days, 6:08:00 time: 0.4329 data_time: 0.0153 memory: 17087 grad_norm: 4.7420 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9005 loss: 1.9005 2022/08/03 12:28:16 - mmengine - INFO - Epoch(train) [15][1220/1879] lr: 1.0000e-02 eta: 2 days, 6:07:48 time: 0.4216 data_time: 0.0138 memory: 17087 grad_norm: 4.6903 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0228 loss: 2.0228 2022/08/03 12:28:24 - mmengine - INFO - Epoch(train) [15][1240/1879] lr: 1.0000e-02 eta: 2 days, 6:07:43 time: 0.4393 data_time: 0.0182 memory: 17087 grad_norm: 4.8824 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9361 loss: 1.9361 2022/08/03 12:28:33 - mmengine - INFO - Epoch(train) [15][1260/1879] lr: 1.0000e-02 eta: 2 days, 6:07:33 time: 0.4262 data_time: 0.0134 memory: 17087 grad_norm: 4.6672 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8622 loss: 1.8622 2022/08/03 12:28:42 - mmengine - INFO - Epoch(train) [15][1280/1879] lr: 1.0000e-02 eta: 2 days, 6:07:23 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 4.7306 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7824 loss: 1.7824 2022/08/03 12:28:50 - mmengine - INFO - Epoch(train) [15][1300/1879] lr: 1.0000e-02 eta: 2 days, 6:07:14 time: 0.4274 data_time: 0.0138 memory: 17087 grad_norm: 4.8267 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.9389 loss: 1.9389 2022/08/03 12:28:59 - mmengine - INFO - Epoch(train) [15][1320/1879] lr: 1.0000e-02 eta: 2 days, 6:07:04 time: 0.4248 data_time: 0.0150 memory: 17087 grad_norm: 4.7797 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9097 loss: 1.9097 2022/08/03 12:29:07 - mmengine - INFO - Epoch(train) [15][1340/1879] lr: 1.0000e-02 eta: 2 days, 6:06:54 time: 0.4271 data_time: 0.0131 memory: 17087 grad_norm: 4.7503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0940 loss: 2.0940 2022/08/03 12:29:16 - mmengine - INFO - Epoch(train) [15][1360/1879] lr: 1.0000e-02 eta: 2 days, 6:06:44 time: 0.4246 data_time: 0.0160 memory: 17087 grad_norm: 4.7847 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.2178 loss: 2.2178 2022/08/03 12:29:24 - mmengine - INFO - Epoch(train) [15][1380/1879] lr: 1.0000e-02 eta: 2 days, 6:06:39 time: 0.4411 data_time: 0.0150 memory: 17087 grad_norm: 4.8767 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9538 loss: 1.9538 2022/08/03 12:29:33 - mmengine - INFO - Epoch(train) [15][1400/1879] lr: 1.0000e-02 eta: 2 days, 6:06:28 time: 0.4224 data_time: 0.0143 memory: 17087 grad_norm: 4.7057 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.1061 loss: 2.1061 2022/08/03 12:29:41 - mmengine - INFO - Epoch(train) [15][1420/1879] lr: 1.0000e-02 eta: 2 days, 6:06:18 time: 0.4242 data_time: 0.0152 memory: 17087 grad_norm: 4.7717 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.9730 loss: 1.9730 2022/08/03 12:29:50 - mmengine - INFO - Epoch(train) [15][1440/1879] lr: 1.0000e-02 eta: 2 days, 6:06:10 time: 0.4304 data_time: 0.0155 memory: 17087 grad_norm: 4.8088 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1203 loss: 2.1203 2022/08/03 12:29:58 - mmengine - INFO - Epoch(train) [15][1460/1879] lr: 1.0000e-02 eta: 2 days, 6:06:00 time: 0.4253 data_time: 0.0142 memory: 17087 grad_norm: 4.7355 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0302 loss: 2.0302 2022/08/03 12:30:07 - mmengine - INFO - Epoch(train) [15][1480/1879] lr: 1.0000e-02 eta: 2 days, 6:05:55 time: 0.4425 data_time: 0.0149 memory: 17087 grad_norm: 4.7883 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.3203 loss: 2.3203 2022/08/03 12:30:16 - mmengine - INFO - Epoch(train) [15][1500/1879] lr: 1.0000e-02 eta: 2 days, 6:05:45 time: 0.4249 data_time: 0.0156 memory: 17087 grad_norm: 4.8554 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0015 loss: 2.0015 2022/08/03 12:30:24 - mmengine - INFO - Epoch(train) [15][1520/1879] lr: 1.0000e-02 eta: 2 days, 6:05:36 time: 0.4285 data_time: 0.0162 memory: 17087 grad_norm: 4.6183 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9013 loss: 1.9013 2022/08/03 12:30:33 - mmengine - INFO - Epoch(train) [15][1540/1879] lr: 1.0000e-02 eta: 2 days, 6:05:25 time: 0.4234 data_time: 0.0131 memory: 17087 grad_norm: 4.8434 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0300 loss: 2.0300 2022/08/03 12:30:41 - mmengine - INFO - Epoch(train) [15][1560/1879] lr: 1.0000e-02 eta: 2 days, 6:05:15 time: 0.4252 data_time: 0.0150 memory: 17087 grad_norm: 4.8444 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8679 loss: 1.8679 2022/08/03 12:30:50 - mmengine - INFO - Epoch(train) [15][1580/1879] lr: 1.0000e-02 eta: 2 days, 6:05:04 time: 0.4209 data_time: 0.0123 memory: 17087 grad_norm: 4.8900 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.1078 loss: 2.1078 2022/08/03 12:30:59 - mmengine - INFO - Epoch(train) [15][1600/1879] lr: 1.0000e-02 eta: 2 days, 6:04:59 time: 0.4411 data_time: 0.0154 memory: 17087 grad_norm: 4.7776 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1454 loss: 2.1454 2022/08/03 12:31:07 - mmengine - INFO - Epoch(train) [15][1620/1879] lr: 1.0000e-02 eta: 2 days, 6:04:49 time: 0.4251 data_time: 0.0145 memory: 17087 grad_norm: 4.6983 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9202 loss: 1.9202 2022/08/03 12:31:16 - mmengine - INFO - Epoch(train) [15][1640/1879] lr: 1.0000e-02 eta: 2 days, 6:04:40 time: 0.4283 data_time: 0.0165 memory: 17087 grad_norm: 4.7022 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9697 loss: 1.9697 2022/08/03 12:31:24 - mmengine - INFO - Epoch(train) [15][1660/1879] lr: 1.0000e-02 eta: 2 days, 6:04:30 time: 0.4264 data_time: 0.0151 memory: 17087 grad_norm: 4.6860 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9250 loss: 1.9250 2022/08/03 12:31:33 - mmengine - INFO - Epoch(train) [15][1680/1879] lr: 1.0000e-02 eta: 2 days, 6:04:21 time: 0.4267 data_time: 0.0154 memory: 17087 grad_norm: 4.8055 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8987 loss: 1.8987 2022/08/03 12:31:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:31:41 - mmengine - INFO - Epoch(train) [15][1700/1879] lr: 1.0000e-02 eta: 2 days, 6:04:10 time: 0.4223 data_time: 0.0124 memory: 17087 grad_norm: 4.7763 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9648 loss: 1.9648 2022/08/03 12:31:50 - mmengine - INFO - Epoch(train) [15][1720/1879] lr: 1.0000e-02 eta: 2 days, 6:04:00 time: 0.4259 data_time: 0.0151 memory: 17087 grad_norm: 4.7529 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7712 loss: 1.7712 2022/08/03 12:31:59 - mmengine - INFO - Epoch(train) [15][1740/1879] lr: 1.0000e-02 eta: 2 days, 6:04:04 time: 0.4691 data_time: 0.0150 memory: 17087 grad_norm: 4.8243 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0971 loss: 2.0971 2022/08/03 12:32:08 - mmengine - INFO - Epoch(train) [15][1760/1879] lr: 1.0000e-02 eta: 2 days, 6:03:55 time: 0.4274 data_time: 0.0182 memory: 17087 grad_norm: 4.7336 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8863 loss: 1.8863 2022/08/03 12:32:16 - mmengine - INFO - Epoch(train) [15][1780/1879] lr: 1.0000e-02 eta: 2 days, 6:03:46 time: 0.4289 data_time: 0.0128 memory: 17087 grad_norm: 4.7110 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8630 loss: 1.8630 2022/08/03 12:32:25 - mmengine - INFO - Epoch(train) [15][1800/1879] lr: 1.0000e-02 eta: 2 days, 6:03:35 time: 0.4237 data_time: 0.0149 memory: 17087 grad_norm: 4.7504 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9503 loss: 1.9503 2022/08/03 12:32:33 - mmengine - INFO - Epoch(train) [15][1820/1879] lr: 1.0000e-02 eta: 2 days, 6:03:25 time: 0.4246 data_time: 0.0142 memory: 17087 grad_norm: 4.7718 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8713 loss: 1.8713 2022/08/03 12:32:42 - mmengine - INFO - Epoch(train) [15][1840/1879] lr: 1.0000e-02 eta: 2 days, 6:03:14 time: 0.4223 data_time: 0.0160 memory: 17087 grad_norm: 4.6932 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0432 loss: 2.0432 2022/08/03 12:32:50 - mmengine - INFO - Epoch(train) [15][1860/1879] lr: 1.0000e-02 eta: 2 days, 6:03:04 time: 0.4235 data_time: 0.0134 memory: 17087 grad_norm: 4.7141 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9374 loss: 1.9374 2022/08/03 12:32:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:32:58 - mmengine - INFO - Epoch(train) [15][1879/1879] lr: 1.0000e-02 eta: 2 days, 6:03:04 time: 0.4293 data_time: 0.0167 memory: 17087 grad_norm: 4.9520 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 2.0028 loss: 2.0028 2022/08/03 12:33:06 - mmengine - INFO - Epoch(val) [15][20/155] eta: 0:00:50 time: 0.3713 data_time: 0.2020 memory: 2821 2022/08/03 12:33:10 - mmengine - INFO - Epoch(val) [15][40/155] eta: 0:00:27 time: 0.2364 data_time: 0.0712 memory: 2821 2022/08/03 12:33:16 - mmengine - INFO - Epoch(val) [15][60/155] eta: 0:00:28 time: 0.2998 data_time: 0.1223 memory: 2821 2022/08/03 12:33:22 - mmengine - INFO - Epoch(val) [15][80/155] eta: 0:00:20 time: 0.2728 data_time: 0.1073 memory: 2821 2022/08/03 12:33:28 - mmengine - INFO - Epoch(val) [15][100/155] eta: 0:00:16 time: 0.3083 data_time: 0.1425 memory: 2821 2022/08/03 12:33:34 - mmengine - INFO - Epoch(val) [15][120/155] eta: 0:00:09 time: 0.2838 data_time: 0.1049 memory: 2821 2022/08/03 12:33:40 - mmengine - INFO - Epoch(val) [15][140/155] eta: 0:00:04 time: 0.3112 data_time: 0.1423 memory: 2821 2022/08/03 12:33:46 - mmengine - INFO - Epoch(val) [15][155/155] acc/top1: 0.6124 acc/top5: 0.8348 acc/mean1: 0.6124 2022/08/03 12:33:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_11.pth is removed 2022/08/03 12:33:49 - mmengine - INFO - The best checkpoint with 0.6124 acc/top1 at 16 epoch is saved to best_acc/top1_epoch_16.pth. 2022/08/03 12:33:59 - mmengine - INFO - Epoch(train) [16][20/1879] lr: 1.0000e-02 eta: 2 days, 6:01:04 time: 0.5173 data_time: 0.1098 memory: 17087 grad_norm: 4.7445 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9952 loss: 1.9952 2022/08/03 12:34:08 - mmengine - INFO - Epoch(train) [16][40/1879] lr: 1.0000e-02 eta: 2 days, 6:00:54 time: 0.4258 data_time: 0.0151 memory: 17087 grad_norm: 4.6563 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8612 loss: 1.8612 2022/08/03 12:34:16 - mmengine - INFO - Epoch(train) [16][60/1879] lr: 1.0000e-02 eta: 2 days, 6:00:43 time: 0.4229 data_time: 0.0145 memory: 17087 grad_norm: 4.7853 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9451 loss: 1.9451 2022/08/03 12:34:25 - mmengine - INFO - Epoch(train) [16][80/1879] lr: 1.0000e-02 eta: 2 days, 6:00:36 time: 0.4344 data_time: 0.0164 memory: 17087 grad_norm: 4.7533 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8480 loss: 1.8480 2022/08/03 12:34:33 - mmengine - INFO - Epoch(train) [16][100/1879] lr: 1.0000e-02 eta: 2 days, 6:00:26 time: 0.4231 data_time: 0.0142 memory: 17087 grad_norm: 4.7600 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1310 loss: 2.1310 2022/08/03 12:34:42 - mmengine - INFO - Epoch(train) [16][120/1879] lr: 1.0000e-02 eta: 2 days, 6:00:15 time: 0.4229 data_time: 0.0151 memory: 17087 grad_norm: 4.9065 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9563 loss: 1.9563 2022/08/03 12:34:50 - mmengine - INFO - Epoch(train) [16][140/1879] lr: 1.0000e-02 eta: 2 days, 6:00:08 time: 0.4329 data_time: 0.0139 memory: 17087 grad_norm: 4.7706 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8530 loss: 1.8530 2022/08/03 12:34:59 - mmengine - INFO - Epoch(train) [16][160/1879] lr: 1.0000e-02 eta: 2 days, 5:59:57 time: 0.4227 data_time: 0.0150 memory: 17087 grad_norm: 4.7383 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8589 loss: 1.8589 2022/08/03 12:35:08 - mmengine - INFO - Epoch(train) [16][180/1879] lr: 1.0000e-02 eta: 2 days, 5:59:49 time: 0.4303 data_time: 0.0166 memory: 17087 grad_norm: 4.7575 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7579 loss: 1.7579 2022/08/03 12:35:16 - mmengine - INFO - Epoch(train) [16][200/1879] lr: 1.0000e-02 eta: 2 days, 5:59:38 time: 0.4230 data_time: 0.0158 memory: 17087 grad_norm: 4.8645 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0129 loss: 2.0129 2022/08/03 12:35:25 - mmengine - INFO - Epoch(train) [16][220/1879] lr: 1.0000e-02 eta: 2 days, 5:59:28 time: 0.4244 data_time: 0.0147 memory: 17087 grad_norm: 4.7335 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.1527 loss: 2.1527 2022/08/03 12:35:33 - mmengine - INFO - Epoch(train) [16][240/1879] lr: 1.0000e-02 eta: 2 days, 5:59:19 time: 0.4288 data_time: 0.0163 memory: 17087 grad_norm: 4.7337 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 2.0888 loss: 2.0888 2022/08/03 12:35:42 - mmengine - INFO - Epoch(train) [16][260/1879] lr: 1.0000e-02 eta: 2 days, 5:59:09 time: 0.4239 data_time: 0.0121 memory: 17087 grad_norm: 4.8635 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8767 loss: 1.8767 2022/08/03 12:35:50 - mmengine - INFO - Epoch(train) [16][280/1879] lr: 1.0000e-02 eta: 2 days, 5:58:58 time: 0.4238 data_time: 0.0155 memory: 17087 grad_norm: 4.7831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9130 loss: 1.9130 2022/08/03 12:35:58 - mmengine - INFO - Epoch(train) [16][300/1879] lr: 1.0000e-02 eta: 2 days, 5:58:47 time: 0.4219 data_time: 0.0116 memory: 17087 grad_norm: 4.7595 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8617 loss: 1.8617 2022/08/03 12:36:07 - mmengine - INFO - Epoch(train) [16][320/1879] lr: 1.0000e-02 eta: 2 days, 5:58:41 time: 0.4354 data_time: 0.0173 memory: 17087 grad_norm: 4.7411 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1108 loss: 2.1108 2022/08/03 12:36:16 - mmengine - INFO - Epoch(train) [16][340/1879] lr: 1.0000e-02 eta: 2 days, 5:58:30 time: 0.4230 data_time: 0.0139 memory: 17087 grad_norm: 4.6402 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8575 loss: 1.8575 2022/08/03 12:36:24 - mmengine - INFO - Epoch(train) [16][360/1879] lr: 1.0000e-02 eta: 2 days, 5:58:22 time: 0.4318 data_time: 0.0160 memory: 17087 grad_norm: 4.7458 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8867 loss: 1.8867 2022/08/03 12:36:33 - mmengine - INFO - Epoch(train) [16][380/1879] lr: 1.0000e-02 eta: 2 days, 5:58:14 time: 0.4297 data_time: 0.0143 memory: 17087 grad_norm: 4.8587 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8251 loss: 1.8251 2022/08/03 12:36:42 - mmengine - INFO - Epoch(train) [16][400/1879] lr: 1.0000e-02 eta: 2 days, 5:58:06 time: 0.4316 data_time: 0.0181 memory: 17087 grad_norm: 4.8043 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0065 loss: 2.0065 2022/08/03 12:36:50 - mmengine - INFO - Epoch(train) [16][420/1879] lr: 1.0000e-02 eta: 2 days, 5:57:55 time: 0.4222 data_time: 0.0141 memory: 17087 grad_norm: 4.8728 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9338 loss: 1.9338 2022/08/03 12:36:59 - mmengine - INFO - Epoch(train) [16][440/1879] lr: 1.0000e-02 eta: 2 days, 5:57:47 time: 0.4313 data_time: 0.0164 memory: 17087 grad_norm: 4.7809 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.8576 loss: 1.8576 2022/08/03 12:37:07 - mmengine - INFO - Epoch(train) [16][460/1879] lr: 1.0000e-02 eta: 2 days, 5:57:36 time: 0.4224 data_time: 0.0126 memory: 17087 grad_norm: 4.7628 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8142 loss: 1.8142 2022/08/03 12:37:16 - mmengine - INFO - Epoch(train) [16][480/1879] lr: 1.0000e-02 eta: 2 days, 5:57:26 time: 0.4262 data_time: 0.0169 memory: 17087 grad_norm: 4.7872 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9054 loss: 1.9054 2022/08/03 12:37:24 - mmengine - INFO - Epoch(train) [16][500/1879] lr: 1.0000e-02 eta: 2 days, 5:57:16 time: 0.4237 data_time: 0.0136 memory: 17087 grad_norm: 4.9028 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 2.0343 loss: 2.0343 2022/08/03 12:37:33 - mmengine - INFO - Epoch(train) [16][520/1879] lr: 1.0000e-02 eta: 2 days, 5:57:06 time: 0.4242 data_time: 0.0145 memory: 17087 grad_norm: 4.8967 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0465 loss: 2.0465 2022/08/03 12:37:42 - mmengine - INFO - Epoch(train) [16][540/1879] lr: 1.0000e-02 eta: 2 days, 5:57:03 time: 0.4488 data_time: 0.0149 memory: 17087 grad_norm: 4.9738 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.1578 loss: 2.1578 2022/08/03 12:37:50 - mmengine - INFO - Epoch(train) [16][560/1879] lr: 1.0000e-02 eta: 2 days, 5:56:54 time: 0.4255 data_time: 0.0152 memory: 17087 grad_norm: 4.7840 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8781 loss: 1.8781 2022/08/03 12:37:59 - mmengine - INFO - Epoch(train) [16][580/1879] lr: 1.0000e-02 eta: 2 days, 5:56:48 time: 0.4407 data_time: 0.0147 memory: 17087 grad_norm: 4.7772 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0275 loss: 2.0275 2022/08/03 12:38:07 - mmengine - INFO - Epoch(train) [16][600/1879] lr: 1.0000e-02 eta: 2 days, 5:56:39 time: 0.4258 data_time: 0.0160 memory: 17087 grad_norm: 4.9335 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8951 loss: 1.8951 2022/08/03 12:38:16 - mmengine - INFO - Epoch(train) [16][620/1879] lr: 1.0000e-02 eta: 2 days, 5:56:36 time: 0.4480 data_time: 0.0157 memory: 17087 grad_norm: 4.8327 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8229 loss: 1.8229 2022/08/03 12:38:25 - mmengine - INFO - Epoch(train) [16][640/1879] lr: 1.0000e-02 eta: 2 days, 5:56:27 time: 0.4287 data_time: 0.0167 memory: 17087 grad_norm: 4.7430 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0330 loss: 2.0330 2022/08/03 12:38:33 - mmengine - INFO - Epoch(train) [16][660/1879] lr: 1.0000e-02 eta: 2 days, 5:56:18 time: 0.4271 data_time: 0.0144 memory: 17087 grad_norm: 4.8275 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0035 loss: 2.0035 2022/08/03 12:38:42 - mmengine - INFO - Epoch(train) [16][680/1879] lr: 1.0000e-02 eta: 2 days, 5:56:07 time: 0.4238 data_time: 0.0155 memory: 17087 grad_norm: 4.9303 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8778 loss: 1.8778 2022/08/03 12:38:50 - mmengine - INFO - Epoch(train) [16][700/1879] lr: 1.0000e-02 eta: 2 days, 5:55:57 time: 0.4233 data_time: 0.0144 memory: 17087 grad_norm: 4.6831 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9050 loss: 1.9050 2022/08/03 12:38:59 - mmengine - INFO - Epoch(train) [16][720/1879] lr: 1.0000e-02 eta: 2 days, 5:55:47 time: 0.4259 data_time: 0.0162 memory: 17087 grad_norm: 4.7919 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8881 loss: 1.8881 2022/08/03 12:39:07 - mmengine - INFO - Epoch(train) [16][740/1879] lr: 1.0000e-02 eta: 2 days, 5:55:38 time: 0.4267 data_time: 0.0176 memory: 17087 grad_norm: 4.7332 top1_acc: 0.2500 top5_acc: 0.3125 loss_cls: 1.9993 loss: 1.9993 2022/08/03 12:39:16 - mmengine - INFO - Epoch(train) [16][760/1879] lr: 1.0000e-02 eta: 2 days, 5:55:28 time: 0.4253 data_time: 0.0164 memory: 17087 grad_norm: 4.8560 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0055 loss: 2.0055 2022/08/03 12:39:24 - mmengine - INFO - Epoch(train) [16][780/1879] lr: 1.0000e-02 eta: 2 days, 5:55:18 time: 0.4242 data_time: 0.0171 memory: 17087 grad_norm: 4.8465 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.1212 loss: 2.1212 2022/08/03 12:39:33 - mmengine - INFO - Epoch(train) [16][800/1879] lr: 1.0000e-02 eta: 2 days, 5:55:07 time: 0.4237 data_time: 0.0161 memory: 17087 grad_norm: 4.6771 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8073 loss: 1.8073 2022/08/03 12:39:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:39:41 - mmengine - INFO - Epoch(train) [16][820/1879] lr: 1.0000e-02 eta: 2 days, 5:54:57 time: 0.4233 data_time: 0.0143 memory: 17087 grad_norm: 4.6588 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7794 loss: 1.7794 2022/08/03 12:39:50 - mmengine - INFO - Epoch(train) [16][840/1879] lr: 1.0000e-02 eta: 2 days, 5:54:51 time: 0.4390 data_time: 0.0164 memory: 17087 grad_norm: 4.7669 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1425 loss: 2.1425 2022/08/03 12:39:59 - mmengine - INFO - Epoch(train) [16][860/1879] lr: 1.0000e-02 eta: 2 days, 5:54:42 time: 0.4265 data_time: 0.0137 memory: 17087 grad_norm: 4.8787 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0430 loss: 2.0430 2022/08/03 12:40:08 - mmengine - INFO - Epoch(train) [16][880/1879] lr: 1.0000e-02 eta: 2 days, 5:54:40 time: 0.4519 data_time: 0.0159 memory: 17087 grad_norm: 4.7746 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1702 loss: 2.1702 2022/08/03 12:40:16 - mmengine - INFO - Epoch(train) [16][900/1879] lr: 1.0000e-02 eta: 2 days, 5:54:29 time: 0.4205 data_time: 0.0147 memory: 17087 grad_norm: 4.7818 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8953 loss: 1.8953 2022/08/03 12:40:25 - mmengine - INFO - Epoch(train) [16][920/1879] lr: 1.0000e-02 eta: 2 days, 5:54:19 time: 0.4260 data_time: 0.0158 memory: 17087 grad_norm: 4.7898 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0439 loss: 2.0439 2022/08/03 12:40:33 - mmengine - INFO - Epoch(train) [16][940/1879] lr: 1.0000e-02 eta: 2 days, 5:54:09 time: 0.4239 data_time: 0.0148 memory: 17087 grad_norm: 4.9389 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9576 loss: 1.9576 2022/08/03 12:40:42 - mmengine - INFO - Epoch(train) [16][960/1879] lr: 1.0000e-02 eta: 2 days, 5:53:59 time: 0.4247 data_time: 0.0170 memory: 17087 grad_norm: 4.7603 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.2959 loss: 2.2959 2022/08/03 12:40:50 - mmengine - INFO - Epoch(train) [16][980/1879] lr: 1.0000e-02 eta: 2 days, 5:53:48 time: 0.4237 data_time: 0.0131 memory: 17087 grad_norm: 4.7785 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1694 loss: 2.1694 2022/08/03 12:40:59 - mmengine - INFO - Epoch(train) [16][1000/1879] lr: 1.0000e-02 eta: 2 days, 5:53:40 time: 0.4307 data_time: 0.0178 memory: 17087 grad_norm: 4.8532 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9642 loss: 1.9642 2022/08/03 12:41:07 - mmengine - INFO - Epoch(train) [16][1020/1879] lr: 1.0000e-02 eta: 2 days, 5:53:30 time: 0.4230 data_time: 0.0124 memory: 17087 grad_norm: 4.8213 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0364 loss: 2.0364 2022/08/03 12:41:16 - mmengine - INFO - Epoch(train) [16][1040/1879] lr: 1.0000e-02 eta: 2 days, 5:53:21 time: 0.4294 data_time: 0.0220 memory: 17087 grad_norm: 4.7069 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7965 loss: 1.7965 2022/08/03 12:41:24 - mmengine - INFO - Epoch(train) [16][1060/1879] lr: 1.0000e-02 eta: 2 days, 5:53:13 time: 0.4324 data_time: 0.0138 memory: 17087 grad_norm: 4.7113 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9274 loss: 1.9274 2022/08/03 12:41:33 - mmengine - INFO - Epoch(train) [16][1080/1879] lr: 1.0000e-02 eta: 2 days, 5:53:03 time: 0.4247 data_time: 0.0151 memory: 17087 grad_norm: 4.7113 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7974 loss: 1.7974 2022/08/03 12:41:41 - mmengine - INFO - Epoch(train) [16][1100/1879] lr: 1.0000e-02 eta: 2 days, 5:52:53 time: 0.4237 data_time: 0.0135 memory: 17087 grad_norm: 4.7878 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8590 loss: 1.8590 2022/08/03 12:41:50 - mmengine - INFO - Epoch(train) [16][1120/1879] lr: 1.0000e-02 eta: 2 days, 5:52:45 time: 0.4300 data_time: 0.0186 memory: 17087 grad_norm: 4.5990 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8516 loss: 1.8516 2022/08/03 12:41:58 - mmengine - INFO - Epoch(train) [16][1140/1879] lr: 1.0000e-02 eta: 2 days, 5:52:34 time: 0.4230 data_time: 0.0146 memory: 17087 grad_norm: 4.8456 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0024 loss: 2.0024 2022/08/03 12:42:07 - mmengine - INFO - Epoch(train) [16][1160/1879] lr: 1.0000e-02 eta: 2 days, 5:52:25 time: 0.4287 data_time: 0.0155 memory: 17087 grad_norm: 4.8075 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9941 loss: 1.9941 2022/08/03 12:42:16 - mmengine - INFO - Epoch(train) [16][1180/1879] lr: 1.0000e-02 eta: 2 days, 5:52:16 time: 0.4282 data_time: 0.0149 memory: 17087 grad_norm: 4.8529 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8767 loss: 1.8767 2022/08/03 12:42:24 - mmengine - INFO - Epoch(train) [16][1200/1879] lr: 1.0000e-02 eta: 2 days, 5:52:07 time: 0.4258 data_time: 0.0164 memory: 17087 grad_norm: 4.6787 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0160 loss: 2.0160 2022/08/03 12:42:33 - mmengine - INFO - Epoch(train) [16][1220/1879] lr: 1.0000e-02 eta: 2 days, 5:51:56 time: 0.4239 data_time: 0.0130 memory: 17087 grad_norm: 4.7655 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0281 loss: 2.0281 2022/08/03 12:42:41 - mmengine - INFO - Epoch(train) [16][1240/1879] lr: 1.0000e-02 eta: 2 days, 5:51:48 time: 0.4293 data_time: 0.0164 memory: 17087 grad_norm: 4.7387 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0398 loss: 2.0398 2022/08/03 12:42:50 - mmengine - INFO - Epoch(train) [16][1260/1879] lr: 1.0000e-02 eta: 2 days, 5:51:37 time: 0.4215 data_time: 0.0129 memory: 17087 grad_norm: 4.8092 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0306 loss: 2.0306 2022/08/03 12:42:58 - mmengine - INFO - Epoch(train) [16][1280/1879] lr: 1.0000e-02 eta: 2 days, 5:51:31 time: 0.4399 data_time: 0.0159 memory: 17087 grad_norm: 4.9259 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9401 loss: 1.9401 2022/08/03 12:43:07 - mmengine - INFO - Epoch(train) [16][1300/1879] lr: 1.0000e-02 eta: 2 days, 5:51:21 time: 0.4241 data_time: 0.0143 memory: 17087 grad_norm: 4.9408 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9825 loss: 1.9825 2022/08/03 12:43:16 - mmengine - INFO - Epoch(train) [16][1320/1879] lr: 1.0000e-02 eta: 2 days, 5:51:19 time: 0.4516 data_time: 0.0160 memory: 17087 grad_norm: 4.7126 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9363 loss: 1.9363 2022/08/03 12:43:24 - mmengine - INFO - Epoch(train) [16][1340/1879] lr: 1.0000e-02 eta: 2 days, 5:51:09 time: 0.4246 data_time: 0.0141 memory: 17087 grad_norm: 4.7913 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 2.0103 loss: 2.0103 2022/08/03 12:43:33 - mmengine - INFO - Epoch(train) [16][1360/1879] lr: 1.0000e-02 eta: 2 days, 5:50:59 time: 0.4241 data_time: 0.0155 memory: 17087 grad_norm: 4.8028 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0268 loss: 2.0268 2022/08/03 12:43:41 - mmengine - INFO - Epoch(train) [16][1380/1879] lr: 1.0000e-02 eta: 2 days, 5:50:49 time: 0.4255 data_time: 0.0134 memory: 17087 grad_norm: 4.8520 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8188 loss: 1.8188 2022/08/03 12:43:50 - mmengine - INFO - Epoch(train) [16][1400/1879] lr: 1.0000e-02 eta: 2 days, 5:50:39 time: 0.4246 data_time: 0.0159 memory: 17087 grad_norm: 4.8038 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8735 loss: 1.8735 2022/08/03 12:43:59 - mmengine - INFO - Epoch(train) [16][1420/1879] lr: 1.0000e-02 eta: 2 days, 5:50:36 time: 0.4461 data_time: 0.0148 memory: 17087 grad_norm: 4.8341 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8912 loss: 1.8912 2022/08/03 12:44:08 - mmengine - INFO - Epoch(train) [16][1440/1879] lr: 1.0000e-02 eta: 2 days, 5:50:28 time: 0.4323 data_time: 0.0156 memory: 17087 grad_norm: 4.6747 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9580 loss: 1.9580 2022/08/03 12:44:16 - mmengine - INFO - Epoch(train) [16][1460/1879] lr: 1.0000e-02 eta: 2 days, 5:50:19 time: 0.4267 data_time: 0.0155 memory: 17087 grad_norm: 4.7681 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7133 loss: 1.7133 2022/08/03 12:44:25 - mmengine - INFO - Epoch(train) [16][1480/1879] lr: 1.0000e-02 eta: 2 days, 5:50:10 time: 0.4272 data_time: 0.0169 memory: 17087 grad_norm: 4.9195 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 2.2000 loss: 2.2000 2022/08/03 12:44:33 - mmengine - INFO - Epoch(train) [16][1500/1879] lr: 1.0000e-02 eta: 2 days, 5:49:59 time: 0.4231 data_time: 0.0133 memory: 17087 grad_norm: 4.7145 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8676 loss: 1.8676 2022/08/03 12:44:42 - mmengine - INFO - Epoch(train) [16][1520/1879] lr: 1.0000e-02 eta: 2 days, 5:49:57 time: 0.4505 data_time: 0.0159 memory: 17087 grad_norm: 4.7748 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8868 loss: 1.8868 2022/08/03 12:44:51 - mmengine - INFO - Epoch(train) [16][1540/1879] lr: 1.0000e-02 eta: 2 days, 5:49:46 time: 0.4218 data_time: 0.0135 memory: 17087 grad_norm: 4.6937 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7904 loss: 1.7904 2022/08/03 12:44:59 - mmengine - INFO - Epoch(train) [16][1560/1879] lr: 1.0000e-02 eta: 2 days, 5:49:37 time: 0.4291 data_time: 0.0170 memory: 17087 grad_norm: 4.9231 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.2074 loss: 2.2074 2022/08/03 12:45:08 - mmengine - INFO - Epoch(train) [16][1580/1879] lr: 1.0000e-02 eta: 2 days, 5:49:27 time: 0.4249 data_time: 0.0141 memory: 17087 grad_norm: 4.7851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0904 loss: 2.0904 2022/08/03 12:45:16 - mmengine - INFO - Epoch(train) [16][1600/1879] lr: 1.0000e-02 eta: 2 days, 5:49:17 time: 0.4233 data_time: 0.0174 memory: 17087 grad_norm: 4.7010 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8070 loss: 1.8070 2022/08/03 12:45:25 - mmengine - INFO - Epoch(train) [16][1620/1879] lr: 1.0000e-02 eta: 2 days, 5:49:09 time: 0.4306 data_time: 0.0140 memory: 17087 grad_norm: 4.7969 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0308 loss: 2.0308 2022/08/03 12:45:33 - mmengine - INFO - Epoch(train) [16][1640/1879] lr: 1.0000e-02 eta: 2 days, 5:48:59 time: 0.4243 data_time: 0.0158 memory: 17087 grad_norm: 4.7743 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0367 loss: 2.0367 2022/08/03 12:45:42 - mmengine - INFO - Epoch(train) [16][1660/1879] lr: 1.0000e-02 eta: 2 days, 5:48:48 time: 0.4235 data_time: 0.0131 memory: 17087 grad_norm: 4.8804 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8051 loss: 1.8051 2022/08/03 12:45:50 - mmengine - INFO - Epoch(train) [16][1680/1879] lr: 1.0000e-02 eta: 2 days, 5:48:38 time: 0.4248 data_time: 0.0155 memory: 17087 grad_norm: 4.7798 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7186 loss: 1.7186 2022/08/03 12:45:59 - mmengine - INFO - Epoch(train) [16][1700/1879] lr: 1.0000e-02 eta: 2 days, 5:48:29 time: 0.4283 data_time: 0.0170 memory: 17087 grad_norm: 4.6431 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7993 loss: 1.7993 2022/08/03 12:46:07 - mmengine - INFO - Epoch(train) [16][1720/1879] lr: 1.0000e-02 eta: 2 days, 5:48:19 time: 0.4234 data_time: 0.0149 memory: 17087 grad_norm: 4.8299 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9578 loss: 1.9578 2022/08/03 12:46:16 - mmengine - INFO - Epoch(train) [16][1740/1879] lr: 1.0000e-02 eta: 2 days, 5:48:09 time: 0.4257 data_time: 0.0147 memory: 17087 grad_norm: 4.7902 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0934 loss: 2.0934 2022/08/03 12:46:24 - mmengine - INFO - Epoch(train) [16][1760/1879] lr: 1.0000e-02 eta: 2 days, 5:47:59 time: 0.4254 data_time: 0.0150 memory: 17087 grad_norm: 4.6601 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0437 loss: 2.0437 2022/08/03 12:46:33 - mmengine - INFO - Epoch(train) [16][1780/1879] lr: 1.0000e-02 eta: 2 days, 5:47:50 time: 0.4270 data_time: 0.0131 memory: 17087 grad_norm: 4.8137 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8460 loss: 1.8460 2022/08/03 12:46:41 - mmengine - INFO - Epoch(train) [16][1800/1879] lr: 1.0000e-02 eta: 2 days, 5:47:40 time: 0.4251 data_time: 0.0164 memory: 17087 grad_norm: 4.6259 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0069 loss: 2.0069 2022/08/03 12:46:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:46:50 - mmengine - INFO - Epoch(train) [16][1820/1879] lr: 1.0000e-02 eta: 2 days, 5:47:34 time: 0.4365 data_time: 0.0150 memory: 17087 grad_norm: 4.8963 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0302 loss: 2.0302 2022/08/03 12:46:59 - mmengine - INFO - Epoch(train) [16][1840/1879] lr: 1.0000e-02 eta: 2 days, 5:47:24 time: 0.4251 data_time: 0.0150 memory: 17087 grad_norm: 4.8195 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 2.0583 loss: 2.0583 2022/08/03 12:47:07 - mmengine - INFO - Epoch(train) [16][1860/1879] lr: 1.0000e-02 eta: 2 days, 5:47:17 time: 0.4363 data_time: 0.0147 memory: 17087 grad_norm: 4.6373 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0953 loss: 2.0953 2022/08/03 12:47:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:47:15 - mmengine - INFO - Epoch(train) [16][1879/1879] lr: 1.0000e-02 eta: 2 days, 5:47:17 time: 0.4101 data_time: 0.0141 memory: 17087 grad_norm: 4.9619 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 2.0569 loss: 2.0569 2022/08/03 12:47:15 - mmengine - INFO - Saving checkpoint at 16 epochs 2022/08/03 12:47:30 - mmengine - INFO - Epoch(train) [17][20/1879] lr: 1.0000e-02 eta: 2 days, 5:45:21 time: 0.5035 data_time: 0.0956 memory: 17087 grad_norm: 4.6757 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 2.0076 loss: 2.0076 2022/08/03 12:47:38 - mmengine - INFO - Epoch(train) [17][40/1879] lr: 1.0000e-02 eta: 2 days, 5:45:14 time: 0.4344 data_time: 0.0210 memory: 17087 grad_norm: 4.8133 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9239 loss: 1.9239 2022/08/03 12:47:47 - mmengine - INFO - Epoch(train) [17][60/1879] lr: 1.0000e-02 eta: 2 days, 5:45:05 time: 0.4274 data_time: 0.0141 memory: 17087 grad_norm: 4.6889 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9723 loss: 1.9723 2022/08/03 12:47:55 - mmengine - INFO - Epoch(train) [17][80/1879] lr: 1.0000e-02 eta: 2 days, 5:44:57 time: 0.4320 data_time: 0.0145 memory: 17087 grad_norm: 4.8417 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7724 loss: 1.7724 2022/08/03 12:48:04 - mmengine - INFO - Epoch(train) [17][100/1879] lr: 1.0000e-02 eta: 2 days, 5:44:46 time: 0.4228 data_time: 0.0152 memory: 17087 grad_norm: 4.8091 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9937 loss: 1.9937 2022/08/03 12:48:12 - mmengine - INFO - Epoch(train) [17][120/1879] lr: 1.0000e-02 eta: 2 days, 5:44:36 time: 0.4240 data_time: 0.0167 memory: 17087 grad_norm: 4.8109 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7794 loss: 1.7794 2022/08/03 12:48:21 - mmengine - INFO - Epoch(train) [17][140/1879] lr: 1.0000e-02 eta: 2 days, 5:44:26 time: 0.4253 data_time: 0.0141 memory: 17087 grad_norm: 4.8062 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7398 loss: 1.7398 2022/08/03 12:48:29 - mmengine - INFO - Epoch(train) [17][160/1879] lr: 1.0000e-02 eta: 2 days, 5:44:17 time: 0.4252 data_time: 0.0161 memory: 17087 grad_norm: 4.7673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0763 loss: 2.0763 2022/08/03 12:48:38 - mmengine - INFO - Epoch(train) [17][180/1879] lr: 1.0000e-02 eta: 2 days, 5:44:08 time: 0.4300 data_time: 0.0145 memory: 17087 grad_norm: 4.6615 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9752 loss: 1.9752 2022/08/03 12:48:47 - mmengine - INFO - Epoch(train) [17][200/1879] lr: 1.0000e-02 eta: 2 days, 5:44:02 time: 0.4379 data_time: 0.0150 memory: 17087 grad_norm: 4.6565 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9688 loss: 1.9688 2022/08/03 12:48:55 - mmengine - INFO - Epoch(train) [17][220/1879] lr: 1.0000e-02 eta: 2 days, 5:43:53 time: 0.4264 data_time: 0.0152 memory: 17087 grad_norm: 4.7361 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7496 loss: 1.7496 2022/08/03 12:49:04 - mmengine - INFO - Epoch(train) [17][240/1879] lr: 1.0000e-02 eta: 2 days, 5:43:43 time: 0.4238 data_time: 0.0144 memory: 17087 grad_norm: 4.7622 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9989 loss: 1.9989 2022/08/03 12:49:12 - mmengine - INFO - Epoch(train) [17][260/1879] lr: 1.0000e-02 eta: 2 days, 5:43:37 time: 0.4388 data_time: 0.0143 memory: 17087 grad_norm: 4.8361 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0204 loss: 2.0204 2022/08/03 12:49:21 - mmengine - INFO - Epoch(train) [17][280/1879] lr: 1.0000e-02 eta: 2 days, 5:43:27 time: 0.4244 data_time: 0.0160 memory: 17087 grad_norm: 4.9281 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0717 loss: 2.0717 2022/08/03 12:49:29 - mmengine - INFO - Epoch(train) [17][300/1879] lr: 1.0000e-02 eta: 2 days, 5:43:17 time: 0.4235 data_time: 0.0141 memory: 17087 grad_norm: 4.7629 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9728 loss: 1.9728 2022/08/03 12:49:38 - mmengine - INFO - Epoch(train) [17][320/1879] lr: 1.0000e-02 eta: 2 days, 5:43:09 time: 0.4308 data_time: 0.0165 memory: 17087 grad_norm: 4.8592 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8899 loss: 1.8899 2022/08/03 12:49:47 - mmengine - INFO - Epoch(train) [17][340/1879] lr: 1.0000e-02 eta: 2 days, 5:42:58 time: 0.4219 data_time: 0.0134 memory: 17087 grad_norm: 4.7987 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8685 loss: 1.8685 2022/08/03 12:49:55 - mmengine - INFO - Epoch(train) [17][360/1879] lr: 1.0000e-02 eta: 2 days, 5:42:50 time: 0.4294 data_time: 0.0171 memory: 17087 grad_norm: 4.8217 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8478 loss: 1.8478 2022/08/03 12:50:04 - mmengine - INFO - Epoch(train) [17][380/1879] lr: 1.0000e-02 eta: 2 days, 5:42:39 time: 0.4232 data_time: 0.0160 memory: 17087 grad_norm: 4.6586 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8365 loss: 1.8365 2022/08/03 12:50:12 - mmengine - INFO - Epoch(train) [17][400/1879] lr: 1.0000e-02 eta: 2 days, 5:42:32 time: 0.4331 data_time: 0.0177 memory: 17087 grad_norm: 4.8090 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9218 loss: 1.9218 2022/08/03 12:50:21 - mmengine - INFO - Epoch(train) [17][420/1879] lr: 1.0000e-02 eta: 2 days, 5:42:23 time: 0.4292 data_time: 0.0137 memory: 17087 grad_norm: 4.8164 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9988 loss: 1.9988 2022/08/03 12:50:29 - mmengine - INFO - Epoch(train) [17][440/1879] lr: 1.0000e-02 eta: 2 days, 5:42:14 time: 0.4281 data_time: 0.0165 memory: 17087 grad_norm: 4.7524 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9531 loss: 1.9531 2022/08/03 12:50:38 - mmengine - INFO - Epoch(train) [17][460/1879] lr: 1.0000e-02 eta: 2 days, 5:42:04 time: 0.4240 data_time: 0.0139 memory: 17087 grad_norm: 4.5875 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9709 loss: 1.9709 2022/08/03 12:50:47 - mmengine - INFO - Epoch(train) [17][480/1879] lr: 1.0000e-02 eta: 2 days, 5:41:59 time: 0.4392 data_time: 0.0150 memory: 17087 grad_norm: 4.8332 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0432 loss: 2.0432 2022/08/03 12:50:55 - mmengine - INFO - Epoch(train) [17][500/1879] lr: 1.0000e-02 eta: 2 days, 5:41:50 time: 0.4274 data_time: 0.0131 memory: 17087 grad_norm: 4.7541 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8092 loss: 1.8092 2022/08/03 12:51:04 - mmengine - INFO - Epoch(train) [17][520/1879] lr: 1.0000e-02 eta: 2 days, 5:41:40 time: 0.4242 data_time: 0.0148 memory: 17087 grad_norm: 4.8437 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9250 loss: 1.9250 2022/08/03 12:51:12 - mmengine - INFO - Epoch(train) [17][540/1879] lr: 1.0000e-02 eta: 2 days, 5:41:30 time: 0.4259 data_time: 0.0142 memory: 17087 grad_norm: 4.8094 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9347 loss: 1.9347 2022/08/03 12:51:21 - mmengine - INFO - Epoch(train) [17][560/1879] lr: 1.0000e-02 eta: 2 days, 5:41:21 time: 0.4261 data_time: 0.0170 memory: 17087 grad_norm: 4.6116 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7617 loss: 1.7617 2022/08/03 12:51:29 - mmengine - INFO - Epoch(train) [17][580/1879] lr: 1.0000e-02 eta: 2 days, 5:41:11 time: 0.4249 data_time: 0.0139 memory: 17087 grad_norm: 4.9459 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1188 loss: 2.1188 2022/08/03 12:51:38 - mmengine - INFO - Epoch(train) [17][600/1879] lr: 1.0000e-02 eta: 2 days, 5:41:01 time: 0.4239 data_time: 0.0158 memory: 17087 grad_norm: 4.8060 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0842 loss: 2.0842 2022/08/03 12:51:46 - mmengine - INFO - Epoch(train) [17][620/1879] lr: 1.0000e-02 eta: 2 days, 5:40:51 time: 0.4265 data_time: 0.0157 memory: 17087 grad_norm: 4.8485 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9323 loss: 1.9323 2022/08/03 12:51:55 - mmengine - INFO - Epoch(train) [17][640/1879] lr: 1.0000e-02 eta: 2 days, 5:40:41 time: 0.4235 data_time: 0.0150 memory: 17087 grad_norm: 4.7617 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0032 loss: 2.0032 2022/08/03 12:52:03 - mmengine - INFO - Epoch(train) [17][660/1879] lr: 1.0000e-02 eta: 2 days, 5:40:30 time: 0.4219 data_time: 0.0132 memory: 17087 grad_norm: 4.8193 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7967 loss: 1.7967 2022/08/03 12:52:12 - mmengine - INFO - Epoch(train) [17][680/1879] lr: 1.0000e-02 eta: 2 days, 5:40:20 time: 0.4231 data_time: 0.0181 memory: 17087 grad_norm: 4.7457 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7442 loss: 1.7442 2022/08/03 12:52:20 - mmengine - INFO - Epoch(train) [17][700/1879] lr: 1.0000e-02 eta: 2 days, 5:40:09 time: 0.4228 data_time: 0.0143 memory: 17087 grad_norm: 4.9843 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9070 loss: 1.9070 2022/08/03 12:52:29 - mmengine - INFO - Epoch(train) [17][720/1879] lr: 1.0000e-02 eta: 2 days, 5:40:06 time: 0.4467 data_time: 0.0166 memory: 17087 grad_norm: 4.8505 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8777 loss: 1.8777 2022/08/03 12:52:38 - mmengine - INFO - Epoch(train) [17][740/1879] lr: 1.0000e-02 eta: 2 days, 5:39:56 time: 0.4243 data_time: 0.0139 memory: 17087 grad_norm: 4.6715 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9083 loss: 1.9083 2022/08/03 12:52:46 - mmengine - INFO - Epoch(train) [17][760/1879] lr: 1.0000e-02 eta: 2 days, 5:39:47 time: 0.4270 data_time: 0.0146 memory: 17087 grad_norm: 4.7090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7828 loss: 1.7828 2022/08/03 12:52:55 - mmengine - INFO - Epoch(train) [17][780/1879] lr: 1.0000e-02 eta: 2 days, 5:39:37 time: 0.4243 data_time: 0.0135 memory: 17087 grad_norm: 4.8442 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9840 loss: 1.9840 2022/08/03 12:53:03 - mmengine - INFO - Epoch(train) [17][800/1879] lr: 1.0000e-02 eta: 2 days, 5:39:28 time: 0.4271 data_time: 0.0162 memory: 17087 grad_norm: 4.7370 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0550 loss: 2.0550 2022/08/03 12:53:12 - mmengine - INFO - Epoch(train) [17][820/1879] lr: 1.0000e-02 eta: 2 days, 5:39:21 time: 0.4370 data_time: 0.0138 memory: 17087 grad_norm: 4.6985 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0555 loss: 2.0555 2022/08/03 12:53:20 - mmengine - INFO - Epoch(train) [17][840/1879] lr: 1.0000e-02 eta: 2 days, 5:39:12 time: 0.4257 data_time: 0.0165 memory: 17087 grad_norm: 4.7979 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7227 loss: 1.7227 2022/08/03 12:53:29 - mmengine - INFO - Epoch(train) [17][860/1879] lr: 1.0000e-02 eta: 2 days, 5:39:03 time: 0.4288 data_time: 0.0155 memory: 17087 grad_norm: 4.8636 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0687 loss: 2.0687 2022/08/03 12:53:37 - mmengine - INFO - Epoch(train) [17][880/1879] lr: 1.0000e-02 eta: 2 days, 5:38:53 time: 0.4249 data_time: 0.0151 memory: 17087 grad_norm: 4.7695 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7033 loss: 1.7033 2022/08/03 12:53:46 - mmengine - INFO - Epoch(train) [17][900/1879] lr: 1.0000e-02 eta: 2 days, 5:38:45 time: 0.4297 data_time: 0.0137 memory: 17087 grad_norm: 4.7748 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0313 loss: 2.0313 2022/08/03 12:53:55 - mmengine - INFO - Epoch(train) [17][920/1879] lr: 1.0000e-02 eta: 2 days, 5:38:35 time: 0.4251 data_time: 0.0172 memory: 17087 grad_norm: 4.8120 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8111 loss: 1.8111 2022/08/03 12:54:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 12:54:03 - mmengine - INFO - Epoch(train) [17][940/1879] lr: 1.0000e-02 eta: 2 days, 5:38:24 time: 0.4214 data_time: 0.0138 memory: 17087 grad_norm: 4.6963 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0037 loss: 2.0037 2022/08/03 12:54:11 - mmengine - INFO - Epoch(train) [17][960/1879] lr: 1.0000e-02 eta: 2 days, 5:38:15 time: 0.4266 data_time: 0.0158 memory: 17087 grad_norm: 4.8775 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9575 loss: 1.9575 2022/08/03 12:54:20 - mmengine - INFO - Epoch(train) [17][980/1879] lr: 1.0000e-02 eta: 2 days, 5:38:05 time: 0.4246 data_time: 0.0141 memory: 17087 grad_norm: 4.8973 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0480 loss: 2.0480 2022/08/03 12:54:29 - mmengine - INFO - Epoch(train) [17][1000/1879] lr: 1.0000e-02 eta: 2 days, 5:38:02 time: 0.4485 data_time: 0.0169 memory: 17087 grad_norm: 4.9614 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9692 loss: 1.9692 2022/08/03 12:54:37 - mmengine - INFO - Epoch(train) [17][1020/1879] lr: 1.0000e-02 eta: 2 days, 5:37:52 time: 0.4242 data_time: 0.0139 memory: 17087 grad_norm: 4.8884 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9851 loss: 1.9851 2022/08/03 12:54:46 - mmengine - INFO - Epoch(train) [17][1040/1879] lr: 1.0000e-02 eta: 2 days, 5:37:42 time: 0.4246 data_time: 0.0148 memory: 17087 grad_norm: 4.7117 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9741 loss: 1.9741 2022/08/03 12:54:54 - mmengine - INFO - Epoch(train) [17][1060/1879] lr: 1.0000e-02 eta: 2 days, 5:37:32 time: 0.4228 data_time: 0.0153 memory: 17087 grad_norm: 4.6755 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8972 loss: 1.8972 2022/08/03 12:55:03 - mmengine - INFO - Epoch(train) [17][1080/1879] lr: 1.0000e-02 eta: 2 days, 5:37:22 time: 0.4237 data_time: 0.0157 memory: 17087 grad_norm: 4.6810 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9971 loss: 1.9971 2022/08/03 12:55:11 - mmengine - INFO - Epoch(train) [17][1100/1879] lr: 1.0000e-02 eta: 2 days, 5:37:11 time: 0.4228 data_time: 0.0133 memory: 17087 grad_norm: 4.9207 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.1278 loss: 2.1278 2022/08/03 12:55:20 - mmengine - INFO - Epoch(train) [17][1120/1879] lr: 1.0000e-02 eta: 2 days, 5:37:02 time: 0.4258 data_time: 0.0161 memory: 17087 grad_norm: 4.7231 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7490 loss: 1.7490 2022/08/03 12:55:28 - mmengine - INFO - Epoch(train) [17][1140/1879] lr: 1.0000e-02 eta: 2 days, 5:36:51 time: 0.4228 data_time: 0.0148 memory: 17087 grad_norm: 4.6726 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9651 loss: 1.9651 2022/08/03 12:55:37 - mmengine - INFO - Epoch(train) [17][1160/1879] lr: 1.0000e-02 eta: 2 days, 5:36:47 time: 0.4420 data_time: 0.0160 memory: 17087 grad_norm: 4.7294 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.1727 loss: 2.1727 2022/08/03 12:55:47 - mmengine - INFO - Epoch(train) [17][1180/1879] lr: 1.0000e-02 eta: 2 days, 5:37:02 time: 0.5107 data_time: 0.0162 memory: 17087 grad_norm: 4.7923 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0158 loss: 2.0158 2022/08/03 12:55:56 - mmengine - INFO - Epoch(train) [17][1200/1879] lr: 1.0000e-02 eta: 2 days, 5:36:52 time: 0.4252 data_time: 0.0165 memory: 17087 grad_norm: 4.7356 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8369 loss: 1.8369 2022/08/03 12:56:04 - mmengine - INFO - Epoch(train) [17][1220/1879] lr: 1.0000e-02 eta: 2 days, 5:36:42 time: 0.4250 data_time: 0.0145 memory: 17087 grad_norm: 4.6610 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7384 loss: 1.7384 2022/08/03 12:56:13 - mmengine - INFO - Epoch(train) [17][1240/1879] lr: 1.0000e-02 eta: 2 days, 5:36:32 time: 0.4245 data_time: 0.0157 memory: 17087 grad_norm: 4.9472 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 2.2001 loss: 2.2001 2022/08/03 12:56:21 - mmengine - INFO - Epoch(train) [17][1260/1879] lr: 1.0000e-02 eta: 2 days, 5:36:22 time: 0.4236 data_time: 0.0136 memory: 17087 grad_norm: 4.7392 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8418 loss: 1.8418 2022/08/03 12:56:30 - mmengine - INFO - Epoch(train) [17][1280/1879] lr: 1.0000e-02 eta: 2 days, 5:36:17 time: 0.4426 data_time: 0.0168 memory: 17087 grad_norm: 4.8380 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8794 loss: 1.8794 2022/08/03 12:56:39 - mmengine - INFO - Epoch(train) [17][1300/1879] lr: 1.0000e-02 eta: 2 days, 5:36:07 time: 0.4227 data_time: 0.0136 memory: 17087 grad_norm: 4.7914 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9934 loss: 1.9934 2022/08/03 12:56:47 - mmengine - INFO - Epoch(train) [17][1320/1879] lr: 1.0000e-02 eta: 2 days, 5:36:01 time: 0.4378 data_time: 0.0168 memory: 17087 grad_norm: 4.9684 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.1250 loss: 2.1250 2022/08/03 12:56:56 - mmengine - INFO - Epoch(train) [17][1340/1879] lr: 1.0000e-02 eta: 2 days, 5:35:50 time: 0.4226 data_time: 0.0147 memory: 17087 grad_norm: 4.7588 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9496 loss: 1.9496 2022/08/03 12:57:04 - mmengine - INFO - Epoch(train) [17][1360/1879] lr: 1.0000e-02 eta: 2 days, 5:35:40 time: 0.4250 data_time: 0.0152 memory: 17087 grad_norm: 4.6563 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8233 loss: 1.8233 2022/08/03 12:57:13 - mmengine - INFO - Epoch(train) [17][1380/1879] lr: 1.0000e-02 eta: 2 days, 5:35:36 time: 0.4436 data_time: 0.0140 memory: 17087 grad_norm: 4.6937 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9306 loss: 1.9306 2022/08/03 12:57:22 - mmengine - INFO - Epoch(train) [17][1400/1879] lr: 1.0000e-02 eta: 2 days, 5:35:28 time: 0.4328 data_time: 0.0221 memory: 17087 grad_norm: 4.8616 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8570 loss: 1.8570 2022/08/03 12:57:31 - mmengine - INFO - Epoch(train) [17][1420/1879] lr: 1.0000e-02 eta: 2 days, 5:35:23 time: 0.4411 data_time: 0.0134 memory: 17087 grad_norm: 4.7371 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0342 loss: 2.0342 2022/08/03 12:57:39 - mmengine - INFO - Epoch(train) [17][1440/1879] lr: 1.0000e-02 eta: 2 days, 5:35:15 time: 0.4297 data_time: 0.0207 memory: 17087 grad_norm: 4.7370 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1420 loss: 2.1420 2022/08/03 12:57:48 - mmengine - INFO - Epoch(train) [17][1460/1879] lr: 1.0000e-02 eta: 2 days, 5:35:09 time: 0.4384 data_time: 0.0149 memory: 17087 grad_norm: 4.6451 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8844 loss: 1.8844 2022/08/03 12:57:57 - mmengine - INFO - Epoch(train) [17][1480/1879] lr: 1.0000e-02 eta: 2 days, 5:35:00 time: 0.4273 data_time: 0.0204 memory: 17087 grad_norm: 4.7456 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8241 loss: 1.8241 2022/08/03 12:58:05 - mmengine - INFO - Epoch(train) [17][1500/1879] lr: 1.0000e-02 eta: 2 days, 5:34:50 time: 0.4245 data_time: 0.0125 memory: 17087 grad_norm: 4.7977 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0550 loss: 2.0550 2022/08/03 12:58:14 - mmengine - INFO - Epoch(train) [17][1520/1879] lr: 1.0000e-02 eta: 2 days, 5:34:40 time: 0.4248 data_time: 0.0158 memory: 17087 grad_norm: 4.7280 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7661 loss: 1.7661 2022/08/03 12:58:22 - mmengine - INFO - Epoch(train) [17][1540/1879] lr: 1.0000e-02 eta: 2 days, 5:34:30 time: 0.4251 data_time: 0.0132 memory: 17087 grad_norm: 4.6641 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0768 loss: 2.0768 2022/08/03 12:58:31 - mmengine - INFO - Epoch(train) [17][1560/1879] lr: 1.0000e-02 eta: 2 days, 5:34:21 time: 0.4249 data_time: 0.0167 memory: 17087 grad_norm: 4.6895 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9266 loss: 1.9266 2022/08/03 12:58:39 - mmengine - INFO - Epoch(train) [17][1580/1879] lr: 1.0000e-02 eta: 2 days, 5:34:10 time: 0.4235 data_time: 0.0137 memory: 17087 grad_norm: 4.7847 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9077 loss: 1.9077 2022/08/03 12:58:48 - mmengine - INFO - Epoch(train) [17][1600/1879] lr: 1.0000e-02 eta: 2 days, 5:34:01 time: 0.4271 data_time: 0.0161 memory: 17087 grad_norm: 4.7260 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9279 loss: 1.9279 2022/08/03 12:58:56 - mmengine - INFO - Epoch(train) [17][1620/1879] lr: 1.0000e-02 eta: 2 days, 5:33:50 time: 0.4218 data_time: 0.0132 memory: 17087 grad_norm: 4.7482 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8815 loss: 1.8815 2022/08/03 12:59:05 - mmengine - INFO - Epoch(train) [17][1640/1879] lr: 1.0000e-02 eta: 2 days, 5:33:41 time: 0.4260 data_time: 0.0170 memory: 17087 grad_norm: 4.7130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7636 loss: 1.7636 2022/08/03 12:59:13 - mmengine - INFO - Epoch(train) [17][1660/1879] lr: 1.0000e-02 eta: 2 days, 5:33:32 time: 0.4265 data_time: 0.0161 memory: 17087 grad_norm: 4.7539 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9708 loss: 1.9708 2022/08/03 12:59:22 - mmengine - INFO - Epoch(train) [17][1680/1879] lr: 1.0000e-02 eta: 2 days, 5:33:22 time: 0.4240 data_time: 0.0154 memory: 17087 grad_norm: 4.7480 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0317 loss: 2.0317 2022/08/03 12:59:31 - mmengine - INFO - Epoch(train) [17][1700/1879] lr: 1.0000e-02 eta: 2 days, 5:33:18 time: 0.4458 data_time: 0.0145 memory: 17087 grad_norm: 4.7466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8915 loss: 1.8915 2022/08/03 12:59:39 - mmengine - INFO - Epoch(train) [17][1720/1879] lr: 1.0000e-02 eta: 2 days, 5:33:08 time: 0.4243 data_time: 0.0150 memory: 17087 grad_norm: 4.8100 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0187 loss: 2.0187 2022/08/03 12:59:48 - mmengine - INFO - Epoch(train) [17][1740/1879] lr: 1.0000e-02 eta: 2 days, 5:32:58 time: 0.4249 data_time: 0.0153 memory: 17087 grad_norm: 4.8063 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1223 loss: 2.1223 2022/08/03 12:59:56 - mmengine - INFO - Epoch(train) [17][1760/1879] lr: 1.0000e-02 eta: 2 days, 5:32:48 time: 0.4250 data_time: 0.0157 memory: 17087 grad_norm: 4.8101 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0316 loss: 2.0316 2022/08/03 13:00:04 - mmengine - INFO - Epoch(train) [17][1780/1879] lr: 1.0000e-02 eta: 2 days, 5:32:38 time: 0.4222 data_time: 0.0142 memory: 17087 grad_norm: 4.8993 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8743 loss: 1.8743 2022/08/03 13:00:13 - mmengine - INFO - Epoch(train) [17][1800/1879] lr: 1.0000e-02 eta: 2 days, 5:32:29 time: 0.4297 data_time: 0.0163 memory: 17087 grad_norm: 4.7528 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.1360 loss: 2.1360 2022/08/03 13:00:22 - mmengine - INFO - Epoch(train) [17][1820/1879] lr: 1.0000e-02 eta: 2 days, 5:32:19 time: 0.4228 data_time: 0.0135 memory: 17087 grad_norm: 4.7052 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0497 loss: 2.0497 2022/08/03 13:00:30 - mmengine - INFO - Epoch(train) [17][1840/1879] lr: 1.0000e-02 eta: 2 days, 5:32:11 time: 0.4327 data_time: 0.0156 memory: 17087 grad_norm: 4.6625 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8921 loss: 1.8921 2022/08/03 13:00:39 - mmengine - INFO - Epoch(train) [17][1860/1879] lr: 1.0000e-02 eta: 2 days, 5:32:01 time: 0.4221 data_time: 0.0135 memory: 17087 grad_norm: 4.7551 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0145 loss: 2.0145 2022/08/03 13:00:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:00:46 - mmengine - INFO - Epoch(train) [17][1879/1879] lr: 1.0000e-02 eta: 2 days, 5:32:01 time: 0.4081 data_time: 0.0150 memory: 17087 grad_norm: 4.8190 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 1.9416 loss: 1.9416 2022/08/03 13:00:59 - mmengine - INFO - Epoch(train) [18][20/1879] lr: 1.0000e-02 eta: 2 days, 5:30:43 time: 0.6184 data_time: 0.1212 memory: 17087 grad_norm: 4.5974 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9771 loss: 1.9771 2022/08/03 13:01:08 - mmengine - INFO - Epoch(train) [18][40/1879] lr: 1.0000e-02 eta: 2 days, 5:30:38 time: 0.4439 data_time: 0.0167 memory: 17087 grad_norm: 4.6968 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9978 loss: 1.9978 2022/08/03 13:01:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:01:16 - mmengine - INFO - Epoch(train) [18][60/1879] lr: 1.0000e-02 eta: 2 days, 5:30:28 time: 0.4229 data_time: 0.0129 memory: 17087 grad_norm: 4.7323 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9921 loss: 1.9921 2022/08/03 13:01:25 - mmengine - INFO - Epoch(train) [18][80/1879] lr: 1.0000e-02 eta: 2 days, 5:30:18 time: 0.4239 data_time: 0.0167 memory: 17087 grad_norm: 4.7438 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9283 loss: 1.9283 2022/08/03 13:01:33 - mmengine - INFO - Epoch(train) [18][100/1879] lr: 1.0000e-02 eta: 2 days, 5:30:13 time: 0.4417 data_time: 0.0144 memory: 17087 grad_norm: 4.5866 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8903 loss: 1.8903 2022/08/03 13:01:42 - mmengine - INFO - Epoch(train) [18][120/1879] lr: 1.0000e-02 eta: 2 days, 5:30:03 time: 0.4245 data_time: 0.0150 memory: 17087 grad_norm: 4.7194 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9457 loss: 1.9457 2022/08/03 13:01:50 - mmengine - INFO - Epoch(train) [18][140/1879] lr: 1.0000e-02 eta: 2 days, 5:29:53 time: 0.4248 data_time: 0.0133 memory: 17087 grad_norm: 4.7820 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0250 loss: 2.0250 2022/08/03 13:01:59 - mmengine - INFO - Epoch(train) [18][160/1879] lr: 1.0000e-02 eta: 2 days, 5:29:44 time: 0.4248 data_time: 0.0175 memory: 17087 grad_norm: 4.7996 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8832 loss: 1.8832 2022/08/03 13:02:08 - mmengine - INFO - Epoch(train) [18][180/1879] lr: 1.0000e-02 eta: 2 days, 5:29:40 time: 0.4469 data_time: 0.0139 memory: 17087 grad_norm: 4.8461 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 2.0545 loss: 2.0545 2022/08/03 13:02:16 - mmengine - INFO - Epoch(train) [18][200/1879] lr: 1.0000e-02 eta: 2 days, 5:29:30 time: 0.4247 data_time: 0.0158 memory: 17087 grad_norm: 4.7952 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0086 loss: 2.0086 2022/08/03 13:02:25 - mmengine - INFO - Epoch(train) [18][220/1879] lr: 1.0000e-02 eta: 2 days, 5:29:20 time: 0.4221 data_time: 0.0134 memory: 17087 grad_norm: 4.7569 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8009 loss: 1.8009 2022/08/03 13:02:33 - mmengine - INFO - Epoch(train) [18][240/1879] lr: 1.0000e-02 eta: 2 days, 5:29:12 time: 0.4327 data_time: 0.0148 memory: 17087 grad_norm: 4.7567 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1374 loss: 2.1374 2022/08/03 13:02:42 - mmengine - INFO - Epoch(train) [18][260/1879] lr: 1.0000e-02 eta: 2 days, 5:29:02 time: 0.4233 data_time: 0.0137 memory: 17087 grad_norm: 4.8477 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9678 loss: 1.9678 2022/08/03 13:02:51 - mmengine - INFO - Epoch(train) [18][280/1879] lr: 1.0000e-02 eta: 2 days, 5:28:57 time: 0.4399 data_time: 0.0151 memory: 17087 grad_norm: 4.8000 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 2.0757 loss: 2.0757 2022/08/03 13:02:59 - mmengine - INFO - Epoch(train) [18][300/1879] lr: 1.0000e-02 eta: 2 days, 5:28:47 time: 0.4239 data_time: 0.0143 memory: 17087 grad_norm: 4.6357 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8355 loss: 1.8355 2022/08/03 13:03:08 - mmengine - INFO - Epoch(train) [18][320/1879] lr: 1.0000e-02 eta: 2 days, 5:28:39 time: 0.4317 data_time: 0.0156 memory: 17087 grad_norm: 4.6813 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8832 loss: 1.8832 2022/08/03 13:03:16 - mmengine - INFO - Epoch(train) [18][340/1879] lr: 1.0000e-02 eta: 2 days, 5:28:28 time: 0.4210 data_time: 0.0133 memory: 17087 grad_norm: 4.7439 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0311 loss: 2.0311 2022/08/03 13:03:25 - mmengine - INFO - Epoch(train) [18][360/1879] lr: 1.0000e-02 eta: 2 days, 5:28:18 time: 0.4230 data_time: 0.0141 memory: 17087 grad_norm: 4.7908 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6834 loss: 1.6834 2022/08/03 13:03:33 - mmengine - INFO - Epoch(train) [18][380/1879] lr: 1.0000e-02 eta: 2 days, 5:28:10 time: 0.4319 data_time: 0.0155 memory: 17087 grad_norm: 4.8859 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7881 loss: 1.7881 2022/08/03 13:03:42 - mmengine - INFO - Epoch(train) [18][400/1879] lr: 1.0000e-02 eta: 2 days, 5:28:00 time: 0.4239 data_time: 0.0144 memory: 17087 grad_norm: 4.8544 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7544 loss: 1.7544 2022/08/03 13:03:51 - mmengine - INFO - Epoch(train) [18][420/1879] lr: 1.0000e-02 eta: 2 days, 5:27:52 time: 0.4317 data_time: 0.0151 memory: 17087 grad_norm: 4.5661 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8325 loss: 1.8325 2022/08/03 13:03:59 - mmengine - INFO - Epoch(train) [18][440/1879] lr: 1.0000e-02 eta: 2 days, 5:27:42 time: 0.4246 data_time: 0.0145 memory: 17087 grad_norm: 4.6274 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 1.9997 loss: 1.9997 2022/08/03 13:04:08 - mmengine - INFO - Epoch(train) [18][460/1879] lr: 1.0000e-02 eta: 2 days, 5:27:33 time: 0.4273 data_time: 0.0147 memory: 17087 grad_norm: 4.7033 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9238 loss: 1.9238 2022/08/03 13:04:16 - mmengine - INFO - Epoch(train) [18][480/1879] lr: 1.0000e-02 eta: 2 days, 5:27:23 time: 0.4244 data_time: 0.0151 memory: 17087 grad_norm: 4.8126 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1358 loss: 2.1358 2022/08/03 13:04:25 - mmengine - INFO - Epoch(train) [18][500/1879] lr: 1.0000e-02 eta: 2 days, 5:27:13 time: 0.4231 data_time: 0.0135 memory: 17087 grad_norm: 4.7785 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0250 loss: 2.0250 2022/08/03 13:04:33 - mmengine - INFO - Epoch(train) [18][520/1879] lr: 1.0000e-02 eta: 2 days, 5:27:04 time: 0.4273 data_time: 0.0156 memory: 17087 grad_norm: 4.7801 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8007 loss: 1.8007 2022/08/03 13:04:42 - mmengine - INFO - Epoch(train) [18][540/1879] lr: 1.0000e-02 eta: 2 days, 5:26:56 time: 0.4297 data_time: 0.0135 memory: 17087 grad_norm: 4.7233 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8251 loss: 1.8251 2022/08/03 13:04:50 - mmengine - INFO - Epoch(train) [18][560/1879] lr: 1.0000e-02 eta: 2 days, 5:26:48 time: 0.4331 data_time: 0.0156 memory: 17087 grad_norm: 4.8075 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8951 loss: 1.8951 2022/08/03 13:04:59 - mmengine - INFO - Epoch(train) [18][580/1879] lr: 1.0000e-02 eta: 2 days, 5:26:44 time: 0.4434 data_time: 0.0145 memory: 17087 grad_norm: 4.7135 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8993 loss: 1.8993 2022/08/03 13:05:08 - mmengine - INFO - Epoch(train) [18][600/1879] lr: 1.0000e-02 eta: 2 days, 5:26:37 time: 0.4357 data_time: 0.0195 memory: 17087 grad_norm: 4.7926 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9120 loss: 1.9120 2022/08/03 13:05:16 - mmengine - INFO - Epoch(train) [18][620/1879] lr: 1.0000e-02 eta: 2 days, 5:26:27 time: 0.4245 data_time: 0.0161 memory: 17087 grad_norm: 4.8418 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0549 loss: 2.0549 2022/08/03 13:05:25 - mmengine - INFO - Epoch(train) [18][640/1879] lr: 1.0000e-02 eta: 2 days, 5:26:17 time: 0.4228 data_time: 0.0154 memory: 17087 grad_norm: 4.8588 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9737 loss: 1.9737 2022/08/03 13:05:33 - mmengine - INFO - Epoch(train) [18][660/1879] lr: 1.0000e-02 eta: 2 days, 5:26:07 time: 0.4242 data_time: 0.0140 memory: 17087 grad_norm: 4.7884 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0440 loss: 2.0440 2022/08/03 13:05:42 - mmengine - INFO - Epoch(train) [18][680/1879] lr: 1.0000e-02 eta: 2 days, 5:25:58 time: 0.4263 data_time: 0.0156 memory: 17087 grad_norm: 4.8826 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8680 loss: 1.8680 2022/08/03 13:05:50 - mmengine - INFO - Epoch(train) [18][700/1879] lr: 1.0000e-02 eta: 2 days, 5:25:50 time: 0.4313 data_time: 0.0137 memory: 17087 grad_norm: 4.7736 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9113 loss: 1.9113 2022/08/03 13:05:59 - mmengine - INFO - Epoch(train) [18][720/1879] lr: 1.0000e-02 eta: 2 days, 5:25:40 time: 0.4251 data_time: 0.0170 memory: 17087 grad_norm: 4.8601 top1_acc: 0.4375 top5_acc: 0.4375 loss_cls: 2.0607 loss: 2.0607 2022/08/03 13:06:07 - mmengine - INFO - Epoch(train) [18][740/1879] lr: 1.0000e-02 eta: 2 days, 5:25:30 time: 0.4248 data_time: 0.0148 memory: 17087 grad_norm: 4.8349 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0760 loss: 2.0760 2022/08/03 13:06:16 - mmengine - INFO - Epoch(train) [18][760/1879] lr: 1.0000e-02 eta: 2 days, 5:25:20 time: 0.4235 data_time: 0.0156 memory: 17087 grad_norm: 4.8774 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8544 loss: 1.8544 2022/08/03 13:06:24 - mmengine - INFO - Epoch(train) [18][780/1879] lr: 1.0000e-02 eta: 2 days, 5:25:10 time: 0.4216 data_time: 0.0132 memory: 17087 grad_norm: 4.6858 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 2.0553 loss: 2.0553 2022/08/03 13:06:33 - mmengine - INFO - Epoch(train) [18][800/1879] lr: 1.0000e-02 eta: 2 days, 5:25:03 time: 0.4364 data_time: 0.0169 memory: 17087 grad_norm: 4.8007 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6141 loss: 1.6141 2022/08/03 13:06:42 - mmengine - INFO - Epoch(train) [18][820/1879] lr: 1.0000e-02 eta: 2 days, 5:24:53 time: 0.4239 data_time: 0.0138 memory: 17087 grad_norm: 4.7984 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8795 loss: 1.8795 2022/08/03 13:06:50 - mmengine - INFO - Epoch(train) [18][840/1879] lr: 1.0000e-02 eta: 2 days, 5:24:45 time: 0.4310 data_time: 0.0168 memory: 17087 grad_norm: 4.8715 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9280 loss: 1.9280 2022/08/03 13:06:59 - mmengine - INFO - Epoch(train) [18][860/1879] lr: 1.0000e-02 eta: 2 days, 5:24:35 time: 0.4240 data_time: 0.0143 memory: 17087 grad_norm: 4.8750 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6510 loss: 1.6510 2022/08/03 13:07:07 - mmengine - INFO - Epoch(train) [18][880/1879] lr: 1.0000e-02 eta: 2 days, 5:24:29 time: 0.4382 data_time: 0.0164 memory: 17087 grad_norm: 4.8474 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9744 loss: 1.9744 2022/08/03 13:07:16 - mmengine - INFO - Epoch(train) [18][900/1879] lr: 1.0000e-02 eta: 2 days, 5:24:19 time: 0.4240 data_time: 0.0138 memory: 17087 grad_norm: 4.7362 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0330 loss: 2.0330 2022/08/03 13:07:24 - mmengine - INFO - Epoch(train) [18][920/1879] lr: 1.0000e-02 eta: 2 days, 5:24:09 time: 0.4235 data_time: 0.0151 memory: 17087 grad_norm: 4.8034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9256 loss: 1.9256 2022/08/03 13:07:33 - mmengine - INFO - Epoch(train) [18][940/1879] lr: 1.0000e-02 eta: 2 days, 5:24:01 time: 0.4311 data_time: 0.0155 memory: 17087 grad_norm: 4.8808 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 2.1959 loss: 2.1959 2022/08/03 13:07:42 - mmengine - INFO - Epoch(train) [18][960/1879] lr: 1.0000e-02 eta: 2 days, 5:23:52 time: 0.4281 data_time: 0.0188 memory: 17087 grad_norm: 4.7012 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7828 loss: 1.7828 2022/08/03 13:07:50 - mmengine - INFO - Epoch(train) [18][980/1879] lr: 1.0000e-02 eta: 2 days, 5:23:43 time: 0.4265 data_time: 0.0158 memory: 17087 grad_norm: 4.7489 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 2.0914 loss: 2.0914 2022/08/03 13:07:59 - mmengine - INFO - Epoch(train) [18][1000/1879] lr: 1.0000e-02 eta: 2 days, 5:23:34 time: 0.4259 data_time: 0.0158 memory: 17087 grad_norm: 4.6759 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6588 loss: 1.6588 2022/08/03 13:08:07 - mmengine - INFO - Epoch(train) [18][1020/1879] lr: 1.0000e-02 eta: 2 days, 5:23:28 time: 0.4394 data_time: 0.0138 memory: 17087 grad_norm: 4.7668 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8867 loss: 1.8867 2022/08/03 13:08:16 - mmengine - INFO - Epoch(train) [18][1040/1879] lr: 1.0000e-02 eta: 2 days, 5:23:18 time: 0.4245 data_time: 0.0154 memory: 17087 grad_norm: 4.6860 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9633 loss: 1.9633 2022/08/03 13:08:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:08:24 - mmengine - INFO - Epoch(train) [18][1060/1879] lr: 1.0000e-02 eta: 2 days, 5:23:08 time: 0.4240 data_time: 0.0137 memory: 17087 grad_norm: 4.7790 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7836 loss: 1.7836 2022/08/03 13:08:33 - mmengine - INFO - Epoch(train) [18][1080/1879] lr: 1.0000e-02 eta: 2 days, 5:22:59 time: 0.4281 data_time: 0.0165 memory: 17087 grad_norm: 4.7672 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9926 loss: 1.9926 2022/08/03 13:08:42 - mmengine - INFO - Epoch(train) [18][1100/1879] lr: 1.0000e-02 eta: 2 days, 5:22:50 time: 0.4248 data_time: 0.0150 memory: 17087 grad_norm: 4.6234 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 2.0084 loss: 2.0084 2022/08/03 13:08:50 - mmengine - INFO - Epoch(train) [18][1120/1879] lr: 1.0000e-02 eta: 2 days, 5:22:45 time: 0.4438 data_time: 0.0155 memory: 17087 grad_norm: 4.7578 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.8240 loss: 1.8240 2022/08/03 13:08:59 - mmengine - INFO - Epoch(train) [18][1140/1879] lr: 1.0000e-02 eta: 2 days, 5:22:34 time: 0.4217 data_time: 0.0133 memory: 17087 grad_norm: 4.7669 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8751 loss: 1.8751 2022/08/03 13:09:07 - mmengine - INFO - Epoch(train) [18][1160/1879] lr: 1.0000e-02 eta: 2 days, 5:22:26 time: 0.4295 data_time: 0.0157 memory: 17087 grad_norm: 4.7266 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8291 loss: 1.8291 2022/08/03 13:09:16 - mmengine - INFO - Epoch(train) [18][1180/1879] lr: 1.0000e-02 eta: 2 days, 5:22:16 time: 0.4225 data_time: 0.0141 memory: 17087 grad_norm: 4.7358 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 2.0587 loss: 2.0587 2022/08/03 13:09:24 - mmengine - INFO - Epoch(train) [18][1200/1879] lr: 1.0000e-02 eta: 2 days, 5:22:06 time: 0.4240 data_time: 0.0147 memory: 17087 grad_norm: 4.7813 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8740 loss: 1.8740 2022/08/03 13:09:33 - mmengine - INFO - Epoch(train) [18][1220/1879] lr: 1.0000e-02 eta: 2 days, 5:21:56 time: 0.4242 data_time: 0.0143 memory: 17087 grad_norm: 4.7262 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9042 loss: 1.9042 2022/08/03 13:09:41 - mmengine - INFO - Epoch(train) [18][1240/1879] lr: 1.0000e-02 eta: 2 days, 5:21:46 time: 0.4237 data_time: 0.0158 memory: 17087 grad_norm: 4.7334 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9877 loss: 1.9877 2022/08/03 13:09:50 - mmengine - INFO - Epoch(train) [18][1260/1879] lr: 1.0000e-02 eta: 2 days, 5:21:40 time: 0.4392 data_time: 0.0131 memory: 17087 grad_norm: 4.8153 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.1721 loss: 2.1721 2022/08/03 13:09:59 - mmengine - INFO - Epoch(train) [18][1280/1879] lr: 1.0000e-02 eta: 2 days, 5:21:31 time: 0.4279 data_time: 0.0197 memory: 17087 grad_norm: 4.6246 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8123 loss: 1.8123 2022/08/03 13:10:08 - mmengine - INFO - Epoch(train) [18][1300/1879] lr: 1.0000e-02 eta: 2 days, 5:21:30 time: 0.4561 data_time: 0.0155 memory: 17087 grad_norm: 4.8264 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0539 loss: 2.0539 2022/08/03 13:10:16 - mmengine - INFO - Epoch(train) [18][1320/1879] lr: 1.0000e-02 eta: 2 days, 5:21:19 time: 0.4219 data_time: 0.0149 memory: 17087 grad_norm: 4.8514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0702 loss: 2.0702 2022/08/03 13:10:25 - mmengine - INFO - Epoch(train) [18][1340/1879] lr: 1.0000e-02 eta: 2 days, 5:21:11 time: 0.4287 data_time: 0.0161 memory: 17087 grad_norm: 4.6748 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7907 loss: 1.7907 2022/08/03 13:10:34 - mmengine - INFO - Epoch(train) [18][1360/1879] lr: 1.0000e-02 eta: 2 days, 5:21:10 time: 0.4597 data_time: 0.0179 memory: 17087 grad_norm: 4.7636 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9585 loss: 1.9585 2022/08/03 13:10:43 - mmengine - INFO - Epoch(train) [18][1380/1879] lr: 1.0000e-02 eta: 2 days, 5:21:02 time: 0.4285 data_time: 0.0205 memory: 17087 grad_norm: 4.6035 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9082 loss: 1.9082 2022/08/03 13:10:51 - mmengine - INFO - Epoch(train) [18][1400/1879] lr: 1.0000e-02 eta: 2 days, 5:20:57 time: 0.4417 data_time: 0.0190 memory: 17087 grad_norm: 4.6873 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0994 loss: 2.0994 2022/08/03 13:11:00 - mmengine - INFO - Epoch(train) [18][1420/1879] lr: 1.0000e-02 eta: 2 days, 5:20:47 time: 0.4244 data_time: 0.0150 memory: 17087 grad_norm: 4.7859 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8298 loss: 1.8298 2022/08/03 13:11:08 - mmengine - INFO - Epoch(train) [18][1440/1879] lr: 1.0000e-02 eta: 2 days, 5:20:37 time: 0.4253 data_time: 0.0166 memory: 17087 grad_norm: 4.6702 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9454 loss: 1.9454 2022/08/03 13:11:17 - mmengine - INFO - Epoch(train) [18][1460/1879] lr: 1.0000e-02 eta: 2 days, 5:20:27 time: 0.4224 data_time: 0.0140 memory: 17087 grad_norm: 4.8072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9740 loss: 1.9740 2022/08/03 13:11:25 - mmengine - INFO - Epoch(train) [18][1480/1879] lr: 1.0000e-02 eta: 2 days, 5:20:17 time: 0.4238 data_time: 0.0150 memory: 17087 grad_norm: 4.7769 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9761 loss: 1.9761 2022/08/03 13:11:34 - mmengine - INFO - Epoch(train) [18][1500/1879] lr: 1.0000e-02 eta: 2 days, 5:20:11 time: 0.4404 data_time: 0.0138 memory: 17087 grad_norm: 4.6411 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7914 loss: 1.7914 2022/08/03 13:11:43 - mmengine - INFO - Epoch(train) [18][1520/1879] lr: 1.0000e-02 eta: 2 days, 5:20:03 time: 0.4296 data_time: 0.0210 memory: 17087 grad_norm: 4.6561 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0368 loss: 2.0368 2022/08/03 13:11:51 - mmengine - INFO - Epoch(train) [18][1540/1879] lr: 1.0000e-02 eta: 2 days, 5:19:56 time: 0.4335 data_time: 0.0142 memory: 17087 grad_norm: 4.6977 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8102 loss: 1.8102 2022/08/03 13:12:00 - mmengine - INFO - Epoch(train) [18][1560/1879] lr: 1.0000e-02 eta: 2 days, 5:19:46 time: 0.4265 data_time: 0.0177 memory: 17087 grad_norm: 4.9088 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9379 loss: 1.9379 2022/08/03 13:12:08 - mmengine - INFO - Epoch(train) [18][1580/1879] lr: 1.0000e-02 eta: 2 days, 5:19:37 time: 0.4254 data_time: 0.0142 memory: 17087 grad_norm: 4.9223 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8860 loss: 1.8860 2022/08/03 13:12:17 - mmengine - INFO - Epoch(train) [18][1600/1879] lr: 1.0000e-02 eta: 2 days, 5:19:27 time: 0.4246 data_time: 0.0161 memory: 17087 grad_norm: 4.8883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9566 loss: 1.9566 2022/08/03 13:12:25 - mmengine - INFO - Epoch(train) [18][1620/1879] lr: 1.0000e-02 eta: 2 days, 5:19:17 time: 0.4233 data_time: 0.0146 memory: 17087 grad_norm: 4.7551 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8810 loss: 1.8810 2022/08/03 13:12:35 - mmengine - INFO - Epoch(train) [18][1640/1879] lr: 1.0000e-02 eta: 2 days, 5:19:16 time: 0.4570 data_time: 0.0171 memory: 17087 grad_norm: 4.7096 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9197 loss: 1.9197 2022/08/03 13:12:43 - mmengine - INFO - Epoch(train) [18][1660/1879] lr: 1.0000e-02 eta: 2 days, 5:19:09 time: 0.4354 data_time: 0.0148 memory: 17087 grad_norm: 4.8215 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9600 loss: 1.9600 2022/08/03 13:12:52 - mmengine - INFO - Epoch(train) [18][1680/1879] lr: 1.0000e-02 eta: 2 days, 5:18:59 time: 0.4236 data_time: 0.0147 memory: 17087 grad_norm: 4.8016 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.0535 loss: 2.0535 2022/08/03 13:13:00 - mmengine - INFO - Epoch(train) [18][1700/1879] lr: 1.0000e-02 eta: 2 days, 5:18:50 time: 0.4275 data_time: 0.0171 memory: 17087 grad_norm: 4.7593 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9400 loss: 1.9400 2022/08/03 13:13:09 - mmengine - INFO - Epoch(train) [18][1720/1879] lr: 1.0000e-02 eta: 2 days, 5:18:40 time: 0.4242 data_time: 0.0161 memory: 17087 grad_norm: 4.8624 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1092 loss: 2.1092 2022/08/03 13:13:18 - mmengine - INFO - Epoch(train) [18][1740/1879] lr: 1.0000e-02 eta: 2 days, 5:18:40 time: 0.4625 data_time: 0.0152 memory: 17087 grad_norm: 4.8474 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0447 loss: 2.0447 2022/08/03 13:13:27 - mmengine - INFO - Epoch(train) [18][1760/1879] lr: 1.0000e-02 eta: 2 days, 5:18:31 time: 0.4243 data_time: 0.0152 memory: 17087 grad_norm: 4.9135 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8662 loss: 1.8662 2022/08/03 13:13:35 - mmengine - INFO - Epoch(train) [18][1780/1879] lr: 1.0000e-02 eta: 2 days, 5:18:21 time: 0.4235 data_time: 0.0136 memory: 17087 grad_norm: 4.7971 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1643 loss: 2.1643 2022/08/03 13:13:44 - mmengine - INFO - Epoch(train) [18][1800/1879] lr: 1.0000e-02 eta: 2 days, 5:18:11 time: 0.4272 data_time: 0.0153 memory: 17087 grad_norm: 4.6402 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8902 loss: 1.8902 2022/08/03 13:13:52 - mmengine - INFO - Epoch(train) [18][1820/1879] lr: 1.0000e-02 eta: 2 days, 5:18:01 time: 0.4221 data_time: 0.0125 memory: 17087 grad_norm: 4.7972 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9333 loss: 1.9333 2022/08/03 13:14:01 - mmengine - INFO - Epoch(train) [18][1840/1879] lr: 1.0000e-02 eta: 2 days, 5:17:54 time: 0.4342 data_time: 0.0173 memory: 17087 grad_norm: 4.7818 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8886 loss: 1.8886 2022/08/03 13:14:09 - mmengine - INFO - Epoch(train) [18][1860/1879] lr: 1.0000e-02 eta: 2 days, 5:17:44 time: 0.4241 data_time: 0.0142 memory: 17087 grad_norm: 4.7961 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.2288 loss: 2.2288 2022/08/03 13:14:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:14:17 - mmengine - INFO - Epoch(train) [18][1879/1879] lr: 1.0000e-02 eta: 2 days, 5:17:44 time: 0.4051 data_time: 0.0137 memory: 17087 grad_norm: 4.7942 top1_acc: 0.2857 top5_acc: 0.5714 loss_cls: 2.0362 loss: 2.0362 2022/08/03 13:14:28 - mmengine - INFO - Epoch(train) [19][20/1879] lr: 1.0000e-02 eta: 2 days, 5:16:18 time: 0.5732 data_time: 0.1245 memory: 17087 grad_norm: 4.6358 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9865 loss: 1.9865 2022/08/03 13:14:37 - mmengine - INFO - Epoch(train) [19][40/1879] lr: 1.0000e-02 eta: 2 days, 5:16:11 time: 0.4352 data_time: 0.0173 memory: 17087 grad_norm: 4.6493 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.8259 loss: 1.8259 2022/08/03 13:14:46 - mmengine - INFO - Epoch(train) [19][60/1879] lr: 1.0000e-02 eta: 2 days, 5:16:01 time: 0.4230 data_time: 0.0138 memory: 17087 grad_norm: 4.7194 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9347 loss: 1.9347 2022/08/03 13:14:54 - mmengine - INFO - Epoch(train) [19][80/1879] lr: 1.0000e-02 eta: 2 days, 5:15:51 time: 0.4256 data_time: 0.0154 memory: 17087 grad_norm: 4.7574 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8927 loss: 1.8927 2022/08/03 13:15:03 - mmengine - INFO - Epoch(train) [19][100/1879] lr: 1.0000e-02 eta: 2 days, 5:15:42 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 4.7370 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8333 loss: 1.8333 2022/08/03 13:15:11 - mmengine - INFO - Epoch(train) [19][120/1879] lr: 1.0000e-02 eta: 2 days, 5:15:32 time: 0.4253 data_time: 0.0163 memory: 17087 grad_norm: 4.8196 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8745 loss: 1.8745 2022/08/03 13:15:20 - mmengine - INFO - Epoch(train) [19][140/1879] lr: 1.0000e-02 eta: 2 days, 5:15:27 time: 0.4425 data_time: 0.0147 memory: 17087 grad_norm: 4.6641 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9353 loss: 1.9353 2022/08/03 13:15:28 - mmengine - INFO - Epoch(train) [19][160/1879] lr: 1.0000e-02 eta: 2 days, 5:15:19 time: 0.4284 data_time: 0.0196 memory: 17087 grad_norm: 4.7920 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8050 loss: 1.8050 2022/08/03 13:15:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:15:37 - mmengine - INFO - Epoch(train) [19][180/1879] lr: 1.0000e-02 eta: 2 days, 5:15:14 time: 0.4451 data_time: 0.0168 memory: 17087 grad_norm: 4.8780 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8634 loss: 1.8634 2022/08/03 13:15:46 - mmengine - INFO - Epoch(train) [19][200/1879] lr: 1.0000e-02 eta: 2 days, 5:15:04 time: 0.4219 data_time: 0.0142 memory: 17087 grad_norm: 4.7126 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9686 loss: 1.9686 2022/08/03 13:15:54 - mmengine - INFO - Epoch(train) [19][220/1879] lr: 1.0000e-02 eta: 2 days, 5:14:55 time: 0.4273 data_time: 0.0125 memory: 17087 grad_norm: 4.8417 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0323 loss: 2.0323 2022/08/03 13:16:03 - mmengine - INFO - Epoch(train) [19][240/1879] lr: 1.0000e-02 eta: 2 days, 5:14:50 time: 0.4442 data_time: 0.0183 memory: 17087 grad_norm: 4.6667 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8029 loss: 1.8029 2022/08/03 13:16:12 - mmengine - INFO - Epoch(train) [19][260/1879] lr: 1.0000e-02 eta: 2 days, 5:14:41 time: 0.4258 data_time: 0.0123 memory: 17087 grad_norm: 4.6419 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8493 loss: 1.8493 2022/08/03 13:16:21 - mmengine - INFO - Epoch(train) [19][280/1879] lr: 1.0000e-02 eta: 2 days, 5:14:37 time: 0.4450 data_time: 0.0174 memory: 17087 grad_norm: 4.7332 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.9919 loss: 1.9919 2022/08/03 13:16:29 - mmengine - INFO - Epoch(train) [19][300/1879] lr: 1.0000e-02 eta: 2 days, 5:14:27 time: 0.4265 data_time: 0.0168 memory: 17087 grad_norm: 4.8062 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0510 loss: 2.0510 2022/08/03 13:16:38 - mmengine - INFO - Epoch(train) [19][320/1879] lr: 1.0000e-02 eta: 2 days, 5:14:23 time: 0.4455 data_time: 0.0154 memory: 17087 grad_norm: 4.8897 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8173 loss: 1.8173 2022/08/03 13:16:47 - mmengine - INFO - Epoch(train) [19][340/1879] lr: 1.0000e-02 eta: 2 days, 5:14:13 time: 0.4230 data_time: 0.0137 memory: 17087 grad_norm: 4.8313 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8714 loss: 1.8714 2022/08/03 13:16:55 - mmengine - INFO - Epoch(train) [19][360/1879] lr: 1.0000e-02 eta: 2 days, 5:14:04 time: 0.4257 data_time: 0.0169 memory: 17087 grad_norm: 4.6886 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9485 loss: 1.9485 2022/08/03 13:17:04 - mmengine - INFO - Epoch(train) [19][380/1879] lr: 1.0000e-02 eta: 2 days, 5:13:54 time: 0.4254 data_time: 0.0144 memory: 17087 grad_norm: 4.6565 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8063 loss: 1.8063 2022/08/03 13:17:12 - mmengine - INFO - Epoch(train) [19][400/1879] lr: 1.0000e-02 eta: 2 days, 5:13:45 time: 0.4259 data_time: 0.0162 memory: 17087 grad_norm: 4.8529 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.1247 loss: 2.1247 2022/08/03 13:17:21 - mmengine - INFO - Epoch(train) [19][420/1879] lr: 1.0000e-02 eta: 2 days, 5:13:37 time: 0.4321 data_time: 0.0158 memory: 17087 grad_norm: 4.6525 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8200 loss: 1.8200 2022/08/03 13:17:29 - mmengine - INFO - Epoch(train) [19][440/1879] lr: 1.0000e-02 eta: 2 days, 5:13:29 time: 0.4310 data_time: 0.0164 memory: 17087 grad_norm: 4.7933 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9704 loss: 1.9704 2022/08/03 13:17:38 - mmengine - INFO - Epoch(train) [19][460/1879] lr: 1.0000e-02 eta: 2 days, 5:13:24 time: 0.4429 data_time: 0.0145 memory: 17087 grad_norm: 4.8289 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.0143 loss: 2.0143 2022/08/03 13:17:47 - mmengine - INFO - Epoch(train) [19][480/1879] lr: 1.0000e-02 eta: 2 days, 5:13:15 time: 0.4266 data_time: 0.0170 memory: 17087 grad_norm: 4.6494 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7357 loss: 1.7357 2022/08/03 13:17:55 - mmengine - INFO - Epoch(train) [19][500/1879] lr: 1.0000e-02 eta: 2 days, 5:13:07 time: 0.4324 data_time: 0.0167 memory: 17087 grad_norm: 4.6643 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8365 loss: 1.8365 2022/08/03 13:18:04 - mmengine - INFO - Epoch(train) [19][520/1879] lr: 1.0000e-02 eta: 2 days, 5:12:57 time: 0.4241 data_time: 0.0143 memory: 17087 grad_norm: 4.6474 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6572 loss: 1.6572 2022/08/03 13:18:12 - mmengine - INFO - Epoch(train) [19][540/1879] lr: 1.0000e-02 eta: 2 days, 5:12:48 time: 0.4263 data_time: 0.0157 memory: 17087 grad_norm: 4.9278 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.1799 loss: 2.1799 2022/08/03 13:18:21 - mmengine - INFO - Epoch(train) [19][560/1879] lr: 1.0000e-02 eta: 2 days, 5:12:39 time: 0.4277 data_time: 0.0160 memory: 17087 grad_norm: 4.7926 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9242 loss: 1.9242 2022/08/03 13:18:30 - mmengine - INFO - Epoch(train) [19][580/1879] lr: 1.0000e-02 eta: 2 days, 5:12:30 time: 0.4274 data_time: 0.0173 memory: 17087 grad_norm: 4.8057 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8287 loss: 1.8287 2022/08/03 13:18:38 - mmengine - INFO - Epoch(train) [19][600/1879] lr: 1.0000e-02 eta: 2 days, 5:12:22 time: 0.4320 data_time: 0.0169 memory: 17087 grad_norm: 4.7875 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9001 loss: 1.9001 2022/08/03 13:18:47 - mmengine - INFO - Epoch(train) [19][620/1879] lr: 1.0000e-02 eta: 2 days, 5:12:12 time: 0.4206 data_time: 0.0124 memory: 17087 grad_norm: 4.7094 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.1764 loss: 2.1764 2022/08/03 13:18:55 - mmengine - INFO - Epoch(train) [19][640/1879] lr: 1.0000e-02 eta: 2 days, 5:12:02 time: 0.4252 data_time: 0.0157 memory: 17087 grad_norm: 4.7405 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8120 loss: 1.8120 2022/08/03 13:19:04 - mmengine - INFO - Epoch(train) [19][660/1879] lr: 1.0000e-02 eta: 2 days, 5:11:53 time: 0.4250 data_time: 0.0150 memory: 17087 grad_norm: 4.8629 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8152 loss: 1.8152 2022/08/03 13:19:12 - mmengine - INFO - Epoch(train) [19][680/1879] lr: 1.0000e-02 eta: 2 days, 5:11:43 time: 0.4246 data_time: 0.0161 memory: 17087 grad_norm: 4.8533 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8165 loss: 1.8165 2022/08/03 13:19:21 - mmengine - INFO - Epoch(train) [19][700/1879] lr: 1.0000e-02 eta: 2 days, 5:11:37 time: 0.4374 data_time: 0.0138 memory: 17087 grad_norm: 4.7364 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9001 loss: 1.9001 2022/08/03 13:19:29 - mmengine - INFO - Epoch(train) [19][720/1879] lr: 1.0000e-02 eta: 2 days, 5:11:28 time: 0.4281 data_time: 0.0203 memory: 17087 grad_norm: 4.7626 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0182 loss: 2.0182 2022/08/03 13:19:38 - mmengine - INFO - Epoch(train) [19][740/1879] lr: 1.0000e-02 eta: 2 days, 5:11:17 time: 0.4220 data_time: 0.0130 memory: 17087 grad_norm: 4.7731 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8352 loss: 1.8352 2022/08/03 13:19:46 - mmengine - INFO - Epoch(train) [19][760/1879] lr: 1.0000e-02 eta: 2 days, 5:11:07 time: 0.4234 data_time: 0.0159 memory: 17087 grad_norm: 4.7709 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9645 loss: 1.9645 2022/08/03 13:19:55 - mmengine - INFO - Epoch(train) [19][780/1879] lr: 1.0000e-02 eta: 2 days, 5:10:58 time: 0.4271 data_time: 0.0135 memory: 17087 grad_norm: 4.7749 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9140 loss: 1.9140 2022/08/03 13:20:03 - mmengine - INFO - Epoch(train) [19][800/1879] lr: 1.0000e-02 eta: 2 days, 5:10:49 time: 0.4266 data_time: 0.0179 memory: 17087 grad_norm: 4.7396 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0991 loss: 2.0991 2022/08/03 13:20:12 - mmengine - INFO - Epoch(train) [19][820/1879] lr: 1.0000e-02 eta: 2 days, 5:10:41 time: 0.4291 data_time: 0.0148 memory: 17087 grad_norm: 4.7759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8187 loss: 1.8187 2022/08/03 13:20:21 - mmengine - INFO - Epoch(train) [19][840/1879] lr: 1.0000e-02 eta: 2 days, 5:10:32 time: 0.4268 data_time: 0.0165 memory: 17087 grad_norm: 4.8231 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8143 loss: 1.8143 2022/08/03 13:20:29 - mmengine - INFO - Epoch(train) [19][860/1879] lr: 1.0000e-02 eta: 2 days, 5:10:22 time: 0.4238 data_time: 0.0142 memory: 17087 grad_norm: 4.7364 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0488 loss: 2.0488 2022/08/03 13:20:38 - mmengine - INFO - Epoch(train) [19][880/1879] lr: 1.0000e-02 eta: 2 days, 5:10:16 time: 0.4416 data_time: 0.0156 memory: 17087 grad_norm: 4.8077 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0184 loss: 2.0184 2022/08/03 13:20:46 - mmengine - INFO - Epoch(train) [19][900/1879] lr: 1.0000e-02 eta: 2 days, 5:10:06 time: 0.4216 data_time: 0.0147 memory: 17087 grad_norm: 4.8917 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8172 loss: 1.8172 2022/08/03 13:20:55 - mmengine - INFO - Epoch(train) [19][920/1879] lr: 1.0000e-02 eta: 2 days, 5:09:58 time: 0.4299 data_time: 0.0207 memory: 17087 grad_norm: 4.9444 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0204 loss: 2.0204 2022/08/03 13:21:03 - mmengine - INFO - Epoch(train) [19][940/1879] lr: 1.0000e-02 eta: 2 days, 5:09:47 time: 0.4224 data_time: 0.0131 memory: 17087 grad_norm: 4.8744 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.1397 loss: 2.1397 2022/08/03 13:21:12 - mmengine - INFO - Epoch(train) [19][960/1879] lr: 1.0000e-02 eta: 2 days, 5:09:38 time: 0.4257 data_time: 0.0162 memory: 17087 grad_norm: 4.7840 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0626 loss: 2.0626 2022/08/03 13:21:20 - mmengine - INFO - Epoch(train) [19][980/1879] lr: 1.0000e-02 eta: 2 days, 5:09:28 time: 0.4244 data_time: 0.0139 memory: 17087 grad_norm: 4.6422 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8188 loss: 1.8188 2022/08/03 13:21:29 - mmengine - INFO - Epoch(train) [19][1000/1879] lr: 1.0000e-02 eta: 2 days, 5:09:19 time: 0.4267 data_time: 0.0156 memory: 17087 grad_norm: 4.7018 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9149 loss: 1.9149 2022/08/03 13:21:38 - mmengine - INFO - Epoch(train) [19][1020/1879] lr: 1.0000e-02 eta: 2 days, 5:09:13 time: 0.4394 data_time: 0.0142 memory: 17087 grad_norm: 4.8189 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9767 loss: 1.9767 2022/08/03 13:21:46 - mmengine - INFO - Epoch(train) [19][1040/1879] lr: 1.0000e-02 eta: 2 days, 5:09:03 time: 0.4228 data_time: 0.0149 memory: 17087 grad_norm: 4.8134 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0647 loss: 2.0647 2022/08/03 13:21:55 - mmengine - INFO - Epoch(train) [19][1060/1879] lr: 1.0000e-02 eta: 2 days, 5:08:54 time: 0.4281 data_time: 0.0181 memory: 17087 grad_norm: 4.7240 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9856 loss: 1.9856 2022/08/03 13:22:03 - mmengine - INFO - Epoch(train) [19][1080/1879] lr: 1.0000e-02 eta: 2 days, 5:08:45 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 4.7689 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0952 loss: 2.0952 2022/08/03 13:22:12 - mmengine - INFO - Epoch(train) [19][1100/1879] lr: 1.0000e-02 eta: 2 days, 5:08:36 time: 0.4258 data_time: 0.0145 memory: 17087 grad_norm: 4.7468 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8336 loss: 1.8336 2022/08/03 13:22:20 - mmengine - INFO - Epoch(train) [19][1120/1879] lr: 1.0000e-02 eta: 2 days, 5:08:26 time: 0.4260 data_time: 0.0178 memory: 17087 grad_norm: 4.8419 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8366 loss: 1.8366 2022/08/03 13:22:29 - mmengine - INFO - Epoch(train) [19][1140/1879] lr: 1.0000e-02 eta: 2 days, 5:08:17 time: 0.4277 data_time: 0.0157 memory: 17087 grad_norm: 4.7592 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.8565 loss: 1.8565 2022/08/03 13:22:37 - mmengine - INFO - Epoch(train) [19][1160/1879] lr: 1.0000e-02 eta: 2 days, 5:08:08 time: 0.4244 data_time: 0.0145 memory: 17087 grad_norm: 4.7313 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.6278 loss: 1.6278 2022/08/03 13:22:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:22:46 - mmengine - INFO - Epoch(train) [19][1180/1879] lr: 1.0000e-02 eta: 2 days, 5:08:01 time: 0.4351 data_time: 0.0147 memory: 17087 grad_norm: 4.6911 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9142 loss: 1.9142 2022/08/03 13:22:55 - mmengine - INFO - Epoch(train) [19][1200/1879] lr: 1.0000e-02 eta: 2 days, 5:07:53 time: 0.4323 data_time: 0.0152 memory: 17087 grad_norm: 4.6874 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8268 loss: 1.8268 2022/08/03 13:23:03 - mmengine - INFO - Epoch(train) [19][1220/1879] lr: 1.0000e-02 eta: 2 days, 5:07:43 time: 0.4231 data_time: 0.0141 memory: 17087 grad_norm: 4.8668 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9444 loss: 1.9444 2022/08/03 13:23:12 - mmengine - INFO - Epoch(train) [19][1240/1879] lr: 1.0000e-02 eta: 2 days, 5:07:34 time: 0.4260 data_time: 0.0159 memory: 17087 grad_norm: 4.9342 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9952 loss: 1.9952 2022/08/03 13:23:20 - mmengine - INFO - Epoch(train) [19][1260/1879] lr: 1.0000e-02 eta: 2 days, 5:07:28 time: 0.4386 data_time: 0.0130 memory: 17087 grad_norm: 4.7743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0039 loss: 2.0039 2022/08/03 13:23:29 - mmengine - INFO - Epoch(train) [19][1280/1879] lr: 1.0000e-02 eta: 2 days, 5:07:19 time: 0.4282 data_time: 0.0195 memory: 17087 grad_norm: 4.7434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8393 loss: 1.8393 2022/08/03 13:23:37 - mmengine - INFO - Epoch(train) [19][1300/1879] lr: 1.0000e-02 eta: 2 days, 5:07:09 time: 0.4234 data_time: 0.0142 memory: 17087 grad_norm: 4.7381 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7503 loss: 1.7503 2022/08/03 13:23:46 - mmengine - INFO - Epoch(train) [19][1320/1879] lr: 1.0000e-02 eta: 2 days, 5:06:59 time: 0.4253 data_time: 0.0148 memory: 17087 grad_norm: 4.7619 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8253 loss: 1.8253 2022/08/03 13:23:54 - mmengine - INFO - Epoch(train) [19][1340/1879] lr: 1.0000e-02 eta: 2 days, 5:06:49 time: 0.4229 data_time: 0.0130 memory: 17087 grad_norm: 4.7273 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8314 loss: 1.8314 2022/08/03 13:24:03 - mmengine - INFO - Epoch(train) [19][1360/1879] lr: 1.0000e-02 eta: 2 days, 5:06:40 time: 0.4256 data_time: 0.0161 memory: 17087 grad_norm: 4.6963 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7412 loss: 1.7412 2022/08/03 13:24:11 - mmengine - INFO - Epoch(train) [19][1380/1879] lr: 1.0000e-02 eta: 2 days, 5:06:31 time: 0.4259 data_time: 0.0163 memory: 17087 grad_norm: 4.8014 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9025 loss: 1.9025 2022/08/03 13:24:20 - mmengine - INFO - Epoch(train) [19][1400/1879] lr: 1.0000e-02 eta: 2 days, 5:06:24 time: 0.4371 data_time: 0.0157 memory: 17087 grad_norm: 4.7572 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9015 loss: 1.9015 2022/08/03 13:24:29 - mmengine - INFO - Epoch(train) [19][1420/1879] lr: 1.0000e-02 eta: 2 days, 5:06:16 time: 0.4318 data_time: 0.0147 memory: 17087 grad_norm: 4.7257 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9056 loss: 1.9056 2022/08/03 13:24:37 - mmengine - INFO - Epoch(train) [19][1440/1879] lr: 1.0000e-02 eta: 2 days, 5:06:07 time: 0.4244 data_time: 0.0142 memory: 17087 grad_norm: 4.7492 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9574 loss: 1.9574 2022/08/03 13:24:46 - mmengine - INFO - Epoch(train) [19][1460/1879] lr: 1.0000e-02 eta: 2 days, 5:05:57 time: 0.4244 data_time: 0.0157 memory: 17087 grad_norm: 4.7021 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 2.0572 loss: 2.0572 2022/08/03 13:24:54 - mmengine - INFO - Epoch(train) [19][1480/1879] lr: 1.0000e-02 eta: 2 days, 5:05:47 time: 0.4243 data_time: 0.0166 memory: 17087 grad_norm: 4.8750 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7919 loss: 1.7919 2022/08/03 13:25:03 - mmengine - INFO - Epoch(train) [19][1500/1879] lr: 1.0000e-02 eta: 2 days, 5:05:41 time: 0.4392 data_time: 0.0128 memory: 17087 grad_norm: 4.6866 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9338 loss: 1.9338 2022/08/03 13:25:12 - mmengine - INFO - Epoch(train) [19][1520/1879] lr: 1.0000e-02 eta: 2 days, 5:05:32 time: 0.4285 data_time: 0.0207 memory: 17087 grad_norm: 4.8702 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0466 loss: 2.0466 2022/08/03 13:25:20 - mmengine - INFO - Epoch(train) [19][1540/1879] lr: 1.0000e-02 eta: 2 days, 5:05:23 time: 0.4255 data_time: 0.0142 memory: 17087 grad_norm: 4.7107 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0956 loss: 2.0956 2022/08/03 13:25:30 - mmengine - INFO - Epoch(train) [19][1560/1879] lr: 1.0000e-02 eta: 2 days, 5:05:32 time: 0.4996 data_time: 0.0177 memory: 17087 grad_norm: 4.7766 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8878 loss: 1.8878 2022/08/03 13:25:39 - mmengine - INFO - Epoch(train) [19][1580/1879] lr: 1.0000e-02 eta: 2 days, 5:05:26 time: 0.4368 data_time: 0.0137 memory: 17087 grad_norm: 4.8638 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9259 loss: 1.9259 2022/08/03 13:25:47 - mmengine - INFO - Epoch(train) [19][1600/1879] lr: 1.0000e-02 eta: 2 days, 5:05:16 time: 0.4236 data_time: 0.0153 memory: 17087 grad_norm: 4.6975 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7471 loss: 1.7471 2022/08/03 13:25:56 - mmengine - INFO - Epoch(train) [19][1620/1879] lr: 1.0000e-02 eta: 2 days, 5:05:07 time: 0.4298 data_time: 0.0166 memory: 17087 grad_norm: 4.7805 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7903 loss: 1.7903 2022/08/03 13:26:04 - mmengine - INFO - Epoch(train) [19][1640/1879] lr: 1.0000e-02 eta: 2 days, 5:04:57 time: 0.4225 data_time: 0.0146 memory: 17087 grad_norm: 4.7098 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.1035 loss: 2.1035 2022/08/03 13:26:13 - mmengine - INFO - Epoch(train) [19][1660/1879] lr: 1.0000e-02 eta: 2 days, 5:04:48 time: 0.4263 data_time: 0.0161 memory: 17087 grad_norm: 4.7531 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 2.0637 loss: 2.0637 2022/08/03 13:26:21 - mmengine - INFO - Epoch(train) [19][1680/1879] lr: 1.0000e-02 eta: 2 days, 5:04:38 time: 0.4241 data_time: 0.0146 memory: 17087 grad_norm: 4.8209 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8204 loss: 1.8204 2022/08/03 13:26:30 - mmengine - INFO - Epoch(train) [19][1700/1879] lr: 1.0000e-02 eta: 2 days, 5:04:30 time: 0.4297 data_time: 0.0151 memory: 17087 grad_norm: 4.7980 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 2.1950 loss: 2.1950 2022/08/03 13:26:39 - mmengine - INFO - Epoch(train) [19][1720/1879] lr: 1.0000e-02 eta: 2 days, 5:04:20 time: 0.4251 data_time: 0.0157 memory: 17087 grad_norm: 4.7741 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9609 loss: 1.9609 2022/08/03 13:26:47 - mmengine - INFO - Epoch(train) [19][1740/1879] lr: 1.0000e-02 eta: 2 days, 5:04:10 time: 0.4201 data_time: 0.0137 memory: 17087 grad_norm: 4.7262 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9494 loss: 1.9494 2022/08/03 13:26:56 - mmengine - INFO - Epoch(train) [19][1760/1879] lr: 1.0000e-02 eta: 2 days, 5:04:03 time: 0.4371 data_time: 0.0162 memory: 17087 grad_norm: 4.7222 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8732 loss: 1.8732 2022/08/03 13:27:04 - mmengine - INFO - Epoch(train) [19][1780/1879] lr: 1.0000e-02 eta: 2 days, 5:03:53 time: 0.4245 data_time: 0.0146 memory: 17087 grad_norm: 4.8360 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1250 loss: 2.1250 2022/08/03 13:27:13 - mmengine - INFO - Epoch(train) [19][1800/1879] lr: 1.0000e-02 eta: 2 days, 5:03:45 time: 0.4318 data_time: 0.0181 memory: 17087 grad_norm: 4.7125 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7993 loss: 1.7993 2022/08/03 13:27:22 - mmengine - INFO - Epoch(train) [19][1820/1879] lr: 1.0000e-02 eta: 2 days, 5:03:39 time: 0.4353 data_time: 0.0127 memory: 17087 grad_norm: 4.8098 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 1.9644 loss: 1.9644 2022/08/03 13:27:30 - mmengine - INFO - Epoch(train) [19][1840/1879] lr: 1.0000e-02 eta: 2 days, 5:03:31 time: 0.4324 data_time: 0.0164 memory: 17087 grad_norm: 4.6492 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0570 loss: 2.0570 2022/08/03 13:27:39 - mmengine - INFO - Epoch(train) [19][1860/1879] lr: 1.0000e-02 eta: 2 days, 5:03:22 time: 0.4269 data_time: 0.0141 memory: 17087 grad_norm: 4.6642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0606 loss: 2.0606 2022/08/03 13:27:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:27:46 - mmengine - INFO - Epoch(train) [19][1879/1879] lr: 1.0000e-02 eta: 2 days, 5:03:22 time: 0.4060 data_time: 0.0143 memory: 17087 grad_norm: 4.7858 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7712 loss: 1.7712 2022/08/03 13:27:58 - mmengine - INFO - Epoch(train) [20][20/1879] lr: 1.0000e-02 eta: 2 days, 5:01:56 time: 0.5581 data_time: 0.1385 memory: 17087 grad_norm: 4.7587 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8338 loss: 1.8338 2022/08/03 13:28:06 - mmengine - INFO - Epoch(train) [20][40/1879] lr: 1.0000e-02 eta: 2 days, 5:01:47 time: 0.4270 data_time: 0.0169 memory: 17087 grad_norm: 4.7648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8625 loss: 1.8625 2022/08/03 13:28:15 - mmengine - INFO - Epoch(train) [20][60/1879] lr: 1.0000e-02 eta: 2 days, 5:01:37 time: 0.4263 data_time: 0.0148 memory: 17087 grad_norm: 4.6536 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8828 loss: 1.8828 2022/08/03 13:28:23 - mmengine - INFO - Epoch(train) [20][80/1879] lr: 1.0000e-02 eta: 2 days, 5:01:28 time: 0.4260 data_time: 0.0176 memory: 17087 grad_norm: 4.8139 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.9039 loss: 1.9039 2022/08/03 13:28:32 - mmengine - INFO - Epoch(train) [20][100/1879] lr: 1.0000e-02 eta: 2 days, 5:01:19 time: 0.4249 data_time: 0.0133 memory: 17087 grad_norm: 4.8399 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8954 loss: 1.8954 2022/08/03 13:28:40 - mmengine - INFO - Epoch(train) [20][120/1879] lr: 1.0000e-02 eta: 2 days, 5:01:10 time: 0.4263 data_time: 0.0168 memory: 17087 grad_norm: 4.8069 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0653 loss: 2.0653 2022/08/03 13:28:49 - mmengine - INFO - Epoch(train) [20][140/1879] lr: 1.0000e-02 eta: 2 days, 5:01:03 time: 0.4374 data_time: 0.0151 memory: 17087 grad_norm: 4.8119 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8065 loss: 1.8065 2022/08/03 13:28:58 - mmengine - INFO - Epoch(train) [20][160/1879] lr: 1.0000e-02 eta: 2 days, 5:00:53 time: 0.4236 data_time: 0.0163 memory: 17087 grad_norm: 4.6709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8742 loss: 1.8742 2022/08/03 13:29:06 - mmengine - INFO - Epoch(train) [20][180/1879] lr: 1.0000e-02 eta: 2 days, 5:00:45 time: 0.4288 data_time: 0.0202 memory: 17087 grad_norm: 4.7206 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6354 loss: 1.6354 2022/08/03 13:29:15 - mmengine - INFO - Epoch(train) [20][200/1879] lr: 1.0000e-02 eta: 2 days, 5:00:37 time: 0.4330 data_time: 0.0150 memory: 17087 grad_norm: 4.6977 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7963 loss: 1.7963 2022/08/03 13:29:23 - mmengine - INFO - Epoch(train) [20][220/1879] lr: 1.0000e-02 eta: 2 days, 5:00:28 time: 0.4264 data_time: 0.0175 memory: 17087 grad_norm: 4.7217 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.9036 loss: 1.9036 2022/08/03 13:29:32 - mmengine - INFO - Epoch(train) [20][240/1879] lr: 1.0000e-02 eta: 2 days, 5:00:24 time: 0.4481 data_time: 0.0158 memory: 17087 grad_norm: 4.7182 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8022 loss: 1.8022 2022/08/03 13:29:41 - mmengine - INFO - Epoch(train) [20][260/1879] lr: 1.0000e-02 eta: 2 days, 5:00:14 time: 0.4227 data_time: 0.0130 memory: 17087 grad_norm: 4.8689 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9363 loss: 1.9363 2022/08/03 13:29:50 - mmengine - INFO - Epoch(train) [20][280/1879] lr: 1.0000e-02 eta: 2 days, 5:00:11 time: 0.4501 data_time: 0.0180 memory: 17087 grad_norm: 4.8161 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8268 loss: 1.8268 2022/08/03 13:29:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:29:58 - mmengine - INFO - Epoch(train) [20][300/1879] lr: 1.0000e-02 eta: 2 days, 5:00:01 time: 0.4228 data_time: 0.0148 memory: 17087 grad_norm: 4.7909 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9732 loss: 1.9732 2022/08/03 13:30:07 - mmengine - INFO - Epoch(train) [20][320/1879] lr: 1.0000e-02 eta: 2 days, 4:59:51 time: 0.4253 data_time: 0.0148 memory: 17087 grad_norm: 4.9285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6736 loss: 1.6736 2022/08/03 13:30:16 - mmengine - INFO - Epoch(train) [20][340/1879] lr: 1.0000e-02 eta: 2 days, 4:59:47 time: 0.4462 data_time: 0.0145 memory: 17087 grad_norm: 4.6827 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.9347 loss: 1.9347 2022/08/03 13:30:24 - mmengine - INFO - Epoch(train) [20][360/1879] lr: 1.0000e-02 eta: 2 days, 4:59:37 time: 0.4243 data_time: 0.0147 memory: 17087 grad_norm: 4.7567 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9759 loss: 1.9759 2022/08/03 13:30:33 - mmengine - INFO - Epoch(train) [20][380/1879] lr: 1.0000e-02 eta: 2 days, 4:59:28 time: 0.4253 data_time: 0.0158 memory: 17087 grad_norm: 4.6782 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8278 loss: 1.8278 2022/08/03 13:30:41 - mmengine - INFO - Epoch(train) [20][400/1879] lr: 1.0000e-02 eta: 2 days, 4:59:18 time: 0.4238 data_time: 0.0158 memory: 17087 grad_norm: 5.0003 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9663 loss: 1.9663 2022/08/03 13:30:50 - mmengine - INFO - Epoch(train) [20][420/1879] lr: 1.0000e-02 eta: 2 days, 4:59:14 time: 0.4445 data_time: 0.0142 memory: 17087 grad_norm: 4.7009 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8742 loss: 1.8742 2022/08/03 13:30:59 - mmengine - INFO - Epoch(train) [20][440/1879] lr: 1.0000e-02 eta: 2 days, 4:59:08 time: 0.4390 data_time: 0.0183 memory: 17087 grad_norm: 4.7211 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7568 loss: 1.7568 2022/08/03 13:31:07 - mmengine - INFO - Epoch(train) [20][460/1879] lr: 1.0000e-02 eta: 2 days, 4:58:58 time: 0.4239 data_time: 0.0167 memory: 17087 grad_norm: 4.5889 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7833 loss: 1.7833 2022/08/03 13:31:16 - mmengine - INFO - Epoch(train) [20][480/1879] lr: 1.0000e-02 eta: 2 days, 4:58:53 time: 0.4446 data_time: 0.0160 memory: 17087 grad_norm: 4.8263 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 2.1259 loss: 2.1259 2022/08/03 13:31:25 - mmengine - INFO - Epoch(train) [20][500/1879] lr: 1.0000e-02 eta: 2 days, 4:58:43 time: 0.4226 data_time: 0.0159 memory: 17087 grad_norm: 4.7654 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.9696 loss: 1.9696 2022/08/03 13:31:34 - mmengine - INFO - Epoch(train) [20][520/1879] lr: 1.0000e-02 eta: 2 days, 4:58:40 time: 0.4506 data_time: 0.0215 memory: 17087 grad_norm: 4.5963 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8705 loss: 1.8705 2022/08/03 13:31:42 - mmengine - INFO - Epoch(train) [20][540/1879] lr: 1.0000e-02 eta: 2 days, 4:58:30 time: 0.4236 data_time: 0.0171 memory: 17087 grad_norm: 4.5792 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7438 loss: 1.7438 2022/08/03 13:31:51 - mmengine - INFO - Epoch(train) [20][560/1879] lr: 1.0000e-02 eta: 2 days, 4:58:21 time: 0.4285 data_time: 0.0162 memory: 17087 grad_norm: 4.7969 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7817 loss: 1.7817 2022/08/03 13:31:59 - mmengine - INFO - Epoch(train) [20][580/1879] lr: 1.0000e-02 eta: 2 days, 4:58:11 time: 0.4230 data_time: 0.0141 memory: 17087 grad_norm: 4.7936 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8501 loss: 1.8501 2022/08/03 13:32:08 - mmengine - INFO - Epoch(train) [20][600/1879] lr: 1.0000e-02 eta: 2 days, 4:58:06 time: 0.4427 data_time: 0.0153 memory: 17087 grad_norm: 4.7748 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7710 loss: 1.7710 2022/08/03 13:32:16 - mmengine - INFO - Epoch(train) [20][620/1879] lr: 1.0000e-02 eta: 2 days, 4:57:56 time: 0.4208 data_time: 0.0131 memory: 17087 grad_norm: 4.9063 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8329 loss: 1.8329 2022/08/03 13:32:25 - mmengine - INFO - Epoch(train) [20][640/1879] lr: 1.0000e-02 eta: 2 days, 4:57:48 time: 0.4329 data_time: 0.0183 memory: 17087 grad_norm: 4.7819 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8240 loss: 1.8240 2022/08/03 13:32:34 - mmengine - INFO - Epoch(train) [20][660/1879] lr: 1.0000e-02 eta: 2 days, 4:57:41 time: 0.4368 data_time: 0.0146 memory: 17087 grad_norm: 4.8693 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9754 loss: 1.9754 2022/08/03 13:32:42 - mmengine - INFO - Epoch(train) [20][680/1879] lr: 1.0000e-02 eta: 2 days, 4:57:34 time: 0.4347 data_time: 0.0160 memory: 17087 grad_norm: 4.7157 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9726 loss: 1.9726 2022/08/03 13:32:51 - mmengine - INFO - Epoch(train) [20][700/1879] lr: 1.0000e-02 eta: 2 days, 4:57:25 time: 0.4245 data_time: 0.0144 memory: 17087 grad_norm: 4.9700 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9530 loss: 1.9530 2022/08/03 13:33:00 - mmengine - INFO - Epoch(train) [20][720/1879] lr: 1.0000e-02 eta: 2 days, 4:57:16 time: 0.4279 data_time: 0.0156 memory: 17087 grad_norm: 4.6533 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8573 loss: 1.8573 2022/08/03 13:33:08 - mmengine - INFO - Epoch(train) [20][740/1879] lr: 1.0000e-02 eta: 2 days, 4:57:06 time: 0.4234 data_time: 0.0151 memory: 17087 grad_norm: 4.8987 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8912 loss: 1.8912 2022/08/03 13:33:17 - mmengine - INFO - Epoch(train) [20][760/1879] lr: 1.0000e-02 eta: 2 days, 4:57:00 time: 0.4409 data_time: 0.0163 memory: 17087 grad_norm: 4.7321 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7880 loss: 1.7880 2022/08/03 13:33:25 - mmengine - INFO - Epoch(train) [20][780/1879] lr: 1.0000e-02 eta: 2 days, 4:56:51 time: 0.4233 data_time: 0.0150 memory: 17087 grad_norm: 4.8211 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8174 loss: 1.8174 2022/08/03 13:33:34 - mmengine - INFO - Epoch(train) [20][800/1879] lr: 1.0000e-02 eta: 2 days, 4:56:46 time: 0.4461 data_time: 0.0160 memory: 17087 grad_norm: 4.7066 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7338 loss: 1.7338 2022/08/03 13:33:43 - mmengine - INFO - Epoch(train) [20][820/1879] lr: 1.0000e-02 eta: 2 days, 4:56:36 time: 0.4237 data_time: 0.0146 memory: 17087 grad_norm: 4.7594 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0818 loss: 2.0818 2022/08/03 13:33:51 - mmengine - INFO - Epoch(train) [20][840/1879] lr: 1.0000e-02 eta: 2 days, 4:56:27 time: 0.4258 data_time: 0.0163 memory: 17087 grad_norm: 4.8671 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8947 loss: 1.8947 2022/08/03 13:34:00 - mmengine - INFO - Epoch(train) [20][860/1879] lr: 1.0000e-02 eta: 2 days, 4:56:18 time: 0.4253 data_time: 0.0151 memory: 17087 grad_norm: 4.9142 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7396 loss: 1.7396 2022/08/03 13:34:08 - mmengine - INFO - Epoch(train) [20][880/1879] lr: 1.0000e-02 eta: 2 days, 4:56:08 time: 0.4230 data_time: 0.0146 memory: 17087 grad_norm: 4.8950 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.1818 loss: 2.1818 2022/08/03 13:34:17 - mmengine - INFO - Epoch(train) [20][900/1879] lr: 1.0000e-02 eta: 2 days, 4:56:04 time: 0.4477 data_time: 0.0216 memory: 17087 grad_norm: 4.8534 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8211 loss: 1.8211 2022/08/03 13:34:26 - mmengine - INFO - Epoch(train) [20][920/1879] lr: 1.0000e-02 eta: 2 days, 4:55:55 time: 0.4264 data_time: 0.0148 memory: 17087 grad_norm: 4.7440 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8994 loss: 1.8994 2022/08/03 13:34:34 - mmengine - INFO - Epoch(train) [20][940/1879] lr: 1.0000e-02 eta: 2 days, 4:55:46 time: 0.4292 data_time: 0.0137 memory: 17087 grad_norm: 4.7026 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 2.0511 loss: 2.0511 2022/08/03 13:34:43 - mmengine - INFO - Epoch(train) [20][960/1879] lr: 1.0000e-02 eta: 2 days, 4:55:36 time: 0.4238 data_time: 0.0157 memory: 17087 grad_norm: 4.7806 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8179 loss: 1.8179 2022/08/03 13:34:52 - mmengine - INFO - Epoch(train) [20][980/1879] lr: 1.0000e-02 eta: 2 days, 4:55:31 time: 0.4421 data_time: 0.0157 memory: 17087 grad_norm: 4.7062 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9424 loss: 1.9424 2022/08/03 13:35:00 - mmengine - INFO - Epoch(train) [20][1000/1879] lr: 1.0000e-02 eta: 2 days, 4:55:21 time: 0.4234 data_time: 0.0150 memory: 17087 grad_norm: 4.7087 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8617 loss: 1.8617 2022/08/03 13:35:09 - mmengine - INFO - Epoch(train) [20][1020/1879] lr: 1.0000e-02 eta: 2 days, 4:55:12 time: 0.4272 data_time: 0.0142 memory: 17087 grad_norm: 4.8788 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9004 loss: 1.9004 2022/08/03 13:35:17 - mmengine - INFO - Epoch(train) [20][1040/1879] lr: 1.0000e-02 eta: 2 days, 4:55:07 time: 0.4440 data_time: 0.0156 memory: 17087 grad_norm: 4.8842 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7854 loss: 1.7854 2022/08/03 13:35:26 - mmengine - INFO - Epoch(train) [20][1060/1879] lr: 1.0000e-02 eta: 2 days, 4:54:57 time: 0.4214 data_time: 0.0131 memory: 17087 grad_norm: 4.7842 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8140 loss: 1.8140 2022/08/03 13:35:35 - mmengine - INFO - Epoch(train) [20][1080/1879] lr: 1.0000e-02 eta: 2 days, 4:54:49 time: 0.4329 data_time: 0.0160 memory: 17087 grad_norm: 4.8441 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8308 loss: 1.8308 2022/08/03 13:35:43 - mmengine - INFO - Epoch(train) [20][1100/1879] lr: 1.0000e-02 eta: 2 days, 4:54:39 time: 0.4225 data_time: 0.0152 memory: 17087 grad_norm: 4.6375 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7395 loss: 1.7395 2022/08/03 13:35:52 - mmengine - INFO - Epoch(train) [20][1120/1879] lr: 1.0000e-02 eta: 2 days, 4:54:32 time: 0.4361 data_time: 0.0160 memory: 17087 grad_norm: 4.8417 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9388 loss: 1.9388 2022/08/03 13:36:00 - mmengine - INFO - Epoch(train) [20][1140/1879] lr: 1.0000e-02 eta: 2 days, 4:54:23 time: 0.4251 data_time: 0.0151 memory: 17087 grad_norm: 4.8323 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8849 loss: 1.8849 2022/08/03 13:36:09 - mmengine - INFO - Epoch(train) [20][1160/1879] lr: 1.0000e-02 eta: 2 days, 4:54:16 time: 0.4348 data_time: 0.0161 memory: 17087 grad_norm: 4.8214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7065 loss: 1.7065 2022/08/03 13:36:17 - mmengine - INFO - Epoch(train) [20][1180/1879] lr: 1.0000e-02 eta: 2 days, 4:54:06 time: 0.4229 data_time: 0.0129 memory: 17087 grad_norm: 4.6271 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6559 loss: 1.6559 2022/08/03 13:36:26 - mmengine - INFO - Epoch(train) [20][1200/1879] lr: 1.0000e-02 eta: 2 days, 4:53:56 time: 0.4240 data_time: 0.0149 memory: 17087 grad_norm: 4.7338 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8136 loss: 1.8136 2022/08/03 13:36:34 - mmengine - INFO - Epoch(train) [20][1220/1879] lr: 1.0000e-02 eta: 2 days, 4:53:46 time: 0.4240 data_time: 0.0144 memory: 17087 grad_norm: 4.6617 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8716 loss: 1.8716 2022/08/03 13:36:43 - mmengine - INFO - Epoch(train) [20][1240/1879] lr: 1.0000e-02 eta: 2 days, 4:53:37 time: 0.4240 data_time: 0.0170 memory: 17087 grad_norm: 4.8357 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.1061 loss: 2.1061 2022/08/03 13:36:51 - mmengine - INFO - Epoch(train) [20][1260/1879] lr: 1.0000e-02 eta: 2 days, 4:53:28 time: 0.4287 data_time: 0.0166 memory: 17087 grad_norm: 4.7675 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6760 loss: 1.6760 2022/08/03 13:37:00 - mmengine - INFO - Epoch(train) [20][1280/1879] lr: 1.0000e-02 eta: 2 days, 4:53:19 time: 0.4291 data_time: 0.0199 memory: 17087 grad_norm: 4.6980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0326 loss: 2.0326 2022/08/03 13:37:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:37:08 - mmengine - INFO - Epoch(train) [20][1300/1879] lr: 1.0000e-02 eta: 2 days, 4:53:09 time: 0.4230 data_time: 0.0146 memory: 17087 grad_norm: 4.7011 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8444 loss: 1.8444 2022/08/03 13:37:17 - mmengine - INFO - Epoch(train) [20][1320/1879] lr: 1.0000e-02 eta: 2 days, 4:53:00 time: 0.4261 data_time: 0.0149 memory: 17087 grad_norm: 4.7704 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9440 loss: 1.9440 2022/08/03 13:37:26 - mmengine - INFO - Epoch(train) [20][1340/1879] lr: 1.0000e-02 eta: 2 days, 4:52:52 time: 0.4299 data_time: 0.0153 memory: 17087 grad_norm: 4.8445 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9819 loss: 1.9819 2022/08/03 13:37:34 - mmengine - INFO - Epoch(train) [20][1360/1879] lr: 1.0000e-02 eta: 2 days, 4:52:43 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 4.7950 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8606 loss: 1.8606 2022/08/03 13:37:43 - mmengine - INFO - Epoch(train) [20][1380/1879] lr: 1.0000e-02 eta: 2 days, 4:52:34 time: 0.4276 data_time: 0.0179 memory: 17087 grad_norm: 4.7386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 2.0023 loss: 2.0023 2022/08/03 13:37:51 - mmengine - INFO - Epoch(train) [20][1400/1879] lr: 1.0000e-02 eta: 2 days, 4:52:27 time: 0.4357 data_time: 0.0154 memory: 17087 grad_norm: 4.7240 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0943 loss: 2.0943 2022/08/03 13:38:00 - mmengine - INFO - Epoch(train) [20][1420/1879] lr: 1.0000e-02 eta: 2 days, 4:52:18 time: 0.4269 data_time: 0.0161 memory: 17087 grad_norm: 4.8535 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9438 loss: 1.9438 2022/08/03 13:38:08 - mmengine - INFO - Epoch(train) [20][1440/1879] lr: 1.0000e-02 eta: 2 days, 4:52:09 time: 0.4255 data_time: 0.0149 memory: 17087 grad_norm: 4.7615 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8230 loss: 1.8230 2022/08/03 13:38:17 - mmengine - INFO - Epoch(train) [20][1460/1879] lr: 1.0000e-02 eta: 2 days, 4:51:59 time: 0.4249 data_time: 0.0142 memory: 17087 grad_norm: 4.7308 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7475 loss: 1.7475 2022/08/03 13:38:26 - mmengine - INFO - Epoch(train) [20][1480/1879] lr: 1.0000e-02 eta: 2 days, 4:51:51 time: 0.4330 data_time: 0.0167 memory: 17087 grad_norm: 4.7604 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6515 loss: 1.6515 2022/08/03 13:38:34 - mmengine - INFO - Epoch(train) [20][1500/1879] lr: 1.0000e-02 eta: 2 days, 4:51:42 time: 0.4258 data_time: 0.0152 memory: 17087 grad_norm: 4.6583 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7748 loss: 1.7748 2022/08/03 13:38:43 - mmengine - INFO - Epoch(train) [20][1520/1879] lr: 1.0000e-02 eta: 2 days, 4:51:38 time: 0.4454 data_time: 0.0156 memory: 17087 grad_norm: 4.7183 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8087 loss: 1.8087 2022/08/03 13:38:52 - mmengine - INFO - Epoch(train) [20][1540/1879] lr: 1.0000e-02 eta: 2 days, 4:51:29 time: 0.4291 data_time: 0.0171 memory: 17087 grad_norm: 4.8415 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0963 loss: 2.0963 2022/08/03 13:39:01 - mmengine - INFO - Epoch(train) [20][1560/1879] lr: 1.0000e-02 eta: 2 days, 4:51:24 time: 0.4453 data_time: 0.0169 memory: 17087 grad_norm: 4.7844 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7722 loss: 1.7722 2022/08/03 13:39:09 - mmengine - INFO - Epoch(train) [20][1580/1879] lr: 1.0000e-02 eta: 2 days, 4:51:15 time: 0.4251 data_time: 0.0132 memory: 17087 grad_norm: 4.8980 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8347 loss: 1.8347 2022/08/03 13:39:18 - mmengine - INFO - Epoch(train) [20][1600/1879] lr: 1.0000e-02 eta: 2 days, 4:51:05 time: 0.4242 data_time: 0.0158 memory: 17087 grad_norm: 4.9368 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 2.0606 loss: 2.0606 2022/08/03 13:39:26 - mmengine - INFO - Epoch(train) [20][1620/1879] lr: 1.0000e-02 eta: 2 days, 4:51:00 time: 0.4425 data_time: 0.0139 memory: 17087 grad_norm: 4.8150 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 2.0184 loss: 2.0184 2022/08/03 13:39:35 - mmengine - INFO - Epoch(train) [20][1640/1879] lr: 1.0000e-02 eta: 2 days, 4:50:51 time: 0.4270 data_time: 0.0171 memory: 17087 grad_norm: 4.7850 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8107 loss: 1.8107 2022/08/03 13:39:43 - mmengine - INFO - Epoch(train) [20][1660/1879] lr: 1.0000e-02 eta: 2 days, 4:50:41 time: 0.4248 data_time: 0.0151 memory: 17087 grad_norm: 4.8044 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7676 loss: 1.7676 2022/08/03 13:39:52 - mmengine - INFO - Epoch(train) [20][1680/1879] lr: 1.0000e-02 eta: 2 days, 4:50:33 time: 0.4286 data_time: 0.0181 memory: 17087 grad_norm: 4.6349 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9810 loss: 1.9810 2022/08/03 13:40:00 - mmengine - INFO - Epoch(train) [20][1700/1879] lr: 1.0000e-02 eta: 2 days, 4:50:23 time: 0.4232 data_time: 0.0146 memory: 17087 grad_norm: 4.8247 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7436 loss: 1.7436 2022/08/03 13:40:09 - mmengine - INFO - Epoch(train) [20][1720/1879] lr: 1.0000e-02 eta: 2 days, 4:50:14 time: 0.4263 data_time: 0.0152 memory: 17087 grad_norm: 4.7378 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9453 loss: 1.9453 2022/08/03 13:40:17 - mmengine - INFO - Epoch(train) [20][1740/1879] lr: 1.0000e-02 eta: 2 days, 4:50:04 time: 0.4228 data_time: 0.0134 memory: 17087 grad_norm: 4.6368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9497 loss: 1.9497 2022/08/03 13:40:26 - mmengine - INFO - Epoch(train) [20][1760/1879] lr: 1.0000e-02 eta: 2 days, 4:49:54 time: 0.4250 data_time: 0.0165 memory: 17087 grad_norm: 4.7343 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8346 loss: 1.8346 2022/08/03 13:40:35 - mmengine - INFO - Epoch(train) [20][1780/1879] lr: 1.0000e-02 eta: 2 days, 4:49:49 time: 0.4413 data_time: 0.0151 memory: 17087 grad_norm: 4.8572 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8654 loss: 1.8654 2022/08/03 13:40:43 - mmengine - INFO - Epoch(train) [20][1800/1879] lr: 1.0000e-02 eta: 2 days, 4:49:40 time: 0.4303 data_time: 0.0218 memory: 17087 grad_norm: 4.9305 top1_acc: 0.1875 top5_acc: 0.7500 loss_cls: 1.8050 loss: 1.8050 2022/08/03 13:40:52 - mmengine - INFO - Epoch(train) [20][1820/1879] lr: 1.0000e-02 eta: 2 days, 4:49:31 time: 0.4268 data_time: 0.0140 memory: 17087 grad_norm: 4.6804 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7298 loss: 1.7298 2022/08/03 13:41:00 - mmengine - INFO - Epoch(train) [20][1840/1879] lr: 1.0000e-02 eta: 2 days, 4:49:22 time: 0.4241 data_time: 0.0160 memory: 17087 grad_norm: 4.7046 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7461 loss: 1.7461 2022/08/03 13:41:09 - mmengine - INFO - Epoch(train) [20][1860/1879] lr: 1.0000e-02 eta: 2 days, 4:49:12 time: 0.4227 data_time: 0.0128 memory: 17087 grad_norm: 4.7871 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9712 loss: 1.9712 2022/08/03 13:41:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:41:17 - mmengine - INFO - Epoch(train) [20][1879/1879] lr: 1.0000e-02 eta: 2 days, 4:49:12 time: 0.4083 data_time: 0.0158 memory: 17087 grad_norm: 4.8310 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.9425 loss: 1.9425 2022/08/03 13:41:17 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/03 13:41:28 - mmengine - INFO - Epoch(val) [20][20/155] eta: 0:00:51 time: 0.3802 data_time: 0.2134 memory: 2821 2022/08/03 13:41:33 - mmengine - INFO - Epoch(val) [20][40/155] eta: 0:00:29 time: 0.2563 data_time: 0.0880 memory: 2821 2022/08/03 13:41:39 - mmengine - INFO - Epoch(val) [20][60/155] eta: 0:00:29 time: 0.3151 data_time: 0.1491 memory: 2821 2022/08/03 13:41:45 - mmengine - INFO - Epoch(val) [20][80/155] eta: 0:00:20 time: 0.2759 data_time: 0.1086 memory: 2821 2022/08/03 13:41:51 - mmengine - INFO - Epoch(val) [20][100/155] eta: 0:00:17 time: 0.3111 data_time: 0.1349 memory: 2821 2022/08/03 13:41:57 - mmengine - INFO - Epoch(val) [20][120/155] eta: 0:00:09 time: 0.2756 data_time: 0.1093 memory: 2821 2022/08/03 13:42:03 - mmengine - INFO - Epoch(val) [20][140/155] eta: 0:00:04 time: 0.2956 data_time: 0.1333 memory: 2821 2022/08/03 13:42:07 - mmengine - INFO - Epoch(val) [20][155/155] acc/top1: 0.6290 acc/top5: 0.8471 acc/mean1: 0.6289 2022/08/03 13:42:07 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_16.pth is removed 2022/08/03 13:42:10 - mmengine - INFO - The best checkpoint with 0.6290 acc/top1 at 21 epoch is saved to best_acc/top1_epoch_21.pth. 2022/08/03 13:42:20 - mmengine - INFO - Epoch(train) [21][20/1879] lr: 1.0000e-02 eta: 2 days, 4:47:40 time: 0.5177 data_time: 0.1083 memory: 17087 grad_norm: 4.7928 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0047 loss: 2.0047 2022/08/03 13:42:28 - mmengine - INFO - Epoch(train) [21][40/1879] lr: 1.0000e-02 eta: 2 days, 4:47:30 time: 0.4243 data_time: 0.0163 memory: 17087 grad_norm: 4.6514 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7801 loss: 1.7801 2022/08/03 13:42:37 - mmengine - INFO - Epoch(train) [21][60/1879] lr: 1.0000e-02 eta: 2 days, 4:47:20 time: 0.4230 data_time: 0.0138 memory: 17087 grad_norm: 4.6527 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7849 loss: 1.7849 2022/08/03 13:42:46 - mmengine - INFO - Epoch(train) [21][80/1879] lr: 1.0000e-02 eta: 2 days, 4:47:15 time: 0.4412 data_time: 0.0155 memory: 17087 grad_norm: 4.6374 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7959 loss: 1.7959 2022/08/03 13:42:54 - mmengine - INFO - Epoch(train) [21][100/1879] lr: 1.0000e-02 eta: 2 days, 4:47:05 time: 0.4237 data_time: 0.0140 memory: 17087 grad_norm: 4.7120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8434 loss: 1.8434 2022/08/03 13:43:03 - mmengine - INFO - Epoch(train) [21][120/1879] lr: 1.0000e-02 eta: 2 days, 4:46:59 time: 0.4392 data_time: 0.0158 memory: 17087 grad_norm: 4.7585 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6622 loss: 1.6622 2022/08/03 13:43:11 - mmengine - INFO - Epoch(train) [21][140/1879] lr: 1.0000e-02 eta: 2 days, 4:46:49 time: 0.4236 data_time: 0.0148 memory: 17087 grad_norm: 4.7720 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.1304 loss: 2.1304 2022/08/03 13:43:21 - mmengine - INFO - Epoch(train) [21][160/1879] lr: 1.0000e-02 eta: 2 days, 4:46:47 time: 0.4542 data_time: 0.0187 memory: 17087 grad_norm: 4.7353 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6958 loss: 1.6958 2022/08/03 13:43:29 - mmengine - INFO - Epoch(train) [21][180/1879] lr: 1.0000e-02 eta: 2 days, 4:46:36 time: 0.4214 data_time: 0.0147 memory: 17087 grad_norm: 4.6732 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8059 loss: 1.8059 2022/08/03 13:43:37 - mmengine - INFO - Epoch(train) [21][200/1879] lr: 1.0000e-02 eta: 2 days, 4:46:27 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 4.6987 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9342 loss: 1.9342 2022/08/03 13:43:46 - mmengine - INFO - Epoch(train) [21][220/1879] lr: 1.0000e-02 eta: 2 days, 4:46:18 time: 0.4278 data_time: 0.0145 memory: 17087 grad_norm: 4.9188 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.0271 loss: 2.0271 2022/08/03 13:43:55 - mmengine - INFO - Epoch(train) [21][240/1879] lr: 1.0000e-02 eta: 2 days, 4:46:09 time: 0.4264 data_time: 0.0167 memory: 17087 grad_norm: 4.6994 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9962 loss: 1.9962 2022/08/03 13:44:03 - mmengine - INFO - Epoch(train) [21][260/1879] lr: 1.0000e-02 eta: 2 days, 4:46:01 time: 0.4281 data_time: 0.0140 memory: 17087 grad_norm: 4.7804 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9446 loss: 1.9446 2022/08/03 13:44:12 - mmengine - INFO - Epoch(train) [21][280/1879] lr: 1.0000e-02 eta: 2 days, 4:45:52 time: 0.4298 data_time: 0.0186 memory: 17087 grad_norm: 4.6771 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7614 loss: 1.7614 2022/08/03 13:44:20 - mmengine - INFO - Epoch(train) [21][300/1879] lr: 1.0000e-02 eta: 2 days, 4:45:44 time: 0.4295 data_time: 0.0139 memory: 17087 grad_norm: 4.5013 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6790 loss: 1.6790 2022/08/03 13:44:29 - mmengine - INFO - Epoch(train) [21][320/1879] lr: 1.0000e-02 eta: 2 days, 4:45:35 time: 0.4288 data_time: 0.0202 memory: 17087 grad_norm: 4.8698 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0929 loss: 2.0929 2022/08/03 13:44:37 - mmengine - INFO - Epoch(train) [21][340/1879] lr: 1.0000e-02 eta: 2 days, 4:45:27 time: 0.4281 data_time: 0.0141 memory: 17087 grad_norm: 4.8991 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9224 loss: 1.9224 2022/08/03 13:44:46 - mmengine - INFO - Epoch(train) [21][360/1879] lr: 1.0000e-02 eta: 2 days, 4:45:19 time: 0.4303 data_time: 0.0172 memory: 17087 grad_norm: 4.8283 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9416 loss: 1.9416 2022/08/03 13:44:55 - mmengine - INFO - Epoch(train) [21][380/1879] lr: 1.0000e-02 eta: 2 days, 4:45:09 time: 0.4227 data_time: 0.0139 memory: 17087 grad_norm: 4.7496 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8034 loss: 1.8034 2022/08/03 13:45:03 - mmengine - INFO - Epoch(train) [21][400/1879] lr: 1.0000e-02 eta: 2 days, 4:45:03 time: 0.4431 data_time: 0.0172 memory: 17087 grad_norm: 4.7485 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8636 loss: 1.8636 2022/08/03 13:45:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:45:12 - mmengine - INFO - Epoch(train) [21][420/1879] lr: 1.0000e-02 eta: 2 days, 4:44:54 time: 0.4254 data_time: 0.0156 memory: 17087 grad_norm: 4.8839 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9144 loss: 1.9144 2022/08/03 13:45:20 - mmengine - INFO - Epoch(train) [21][440/1879] lr: 1.0000e-02 eta: 2 days, 4:44:45 time: 0.4255 data_time: 0.0174 memory: 17087 grad_norm: 4.7499 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7149 loss: 1.7149 2022/08/03 13:45:29 - mmengine - INFO - Epoch(train) [21][460/1879] lr: 1.0000e-02 eta: 2 days, 4:44:35 time: 0.4233 data_time: 0.0130 memory: 17087 grad_norm: 4.6881 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6836 loss: 1.6836 2022/08/03 13:45:37 - mmengine - INFO - Epoch(train) [21][480/1879] lr: 1.0000e-02 eta: 2 days, 4:44:26 time: 0.4252 data_time: 0.0169 memory: 17087 grad_norm: 4.7210 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6628 loss: 1.6628 2022/08/03 13:45:46 - mmengine - INFO - Epoch(train) [21][500/1879] lr: 1.0000e-02 eta: 2 days, 4:44:17 time: 0.4269 data_time: 0.0156 memory: 17087 grad_norm: 4.8161 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8263 loss: 1.8263 2022/08/03 13:45:54 - mmengine - INFO - Epoch(train) [21][520/1879] lr: 1.0000e-02 eta: 2 days, 4:44:08 time: 0.4264 data_time: 0.0165 memory: 17087 grad_norm: 4.7233 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8903 loss: 1.8903 2022/08/03 13:46:03 - mmengine - INFO - Epoch(train) [21][540/1879] lr: 1.0000e-02 eta: 2 days, 4:43:59 time: 0.4276 data_time: 0.0166 memory: 17087 grad_norm: 4.8287 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0943 loss: 2.0943 2022/08/03 13:46:12 - mmengine - INFO - Epoch(train) [21][560/1879] lr: 1.0000e-02 eta: 2 days, 4:43:49 time: 0.4245 data_time: 0.0152 memory: 17087 grad_norm: 4.9152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9691 loss: 1.9691 2022/08/03 13:46:20 - mmengine - INFO - Epoch(train) [21][580/1879] lr: 1.0000e-02 eta: 2 days, 4:43:44 time: 0.4432 data_time: 0.0166 memory: 17087 grad_norm: 4.7204 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8720 loss: 1.8720 2022/08/03 13:46:29 - mmengine - INFO - Epoch(train) [21][600/1879] lr: 1.0000e-02 eta: 2 days, 4:43:34 time: 0.4223 data_time: 0.0148 memory: 17087 grad_norm: 4.7422 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9735 loss: 1.9735 2022/08/03 13:46:37 - mmengine - INFO - Epoch(train) [21][620/1879] lr: 1.0000e-02 eta: 2 days, 4:43:25 time: 0.4262 data_time: 0.0136 memory: 17087 grad_norm: 4.8321 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9588 loss: 1.9588 2022/08/03 13:46:46 - mmengine - INFO - Epoch(train) [21][640/1879] lr: 1.0000e-02 eta: 2 days, 4:43:16 time: 0.4294 data_time: 0.0171 memory: 17087 grad_norm: 4.8158 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.9573 loss: 1.9573 2022/08/03 13:46:55 - mmengine - INFO - Epoch(train) [21][660/1879] lr: 1.0000e-02 eta: 2 days, 4:43:08 time: 0.4308 data_time: 0.0131 memory: 17087 grad_norm: 4.7435 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0599 loss: 2.0599 2022/08/03 13:47:03 - mmengine - INFO - Epoch(train) [21][680/1879] lr: 1.0000e-02 eta: 2 days, 4:42:59 time: 0.4251 data_time: 0.0160 memory: 17087 grad_norm: 4.7123 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 2.1097 loss: 2.1097 2022/08/03 13:47:12 - mmengine - INFO - Epoch(train) [21][700/1879] lr: 1.0000e-02 eta: 2 days, 4:42:49 time: 0.4239 data_time: 0.0139 memory: 17087 grad_norm: 4.8628 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9400 loss: 1.9400 2022/08/03 13:47:21 - mmengine - INFO - Epoch(train) [21][720/1879] lr: 1.0000e-02 eta: 2 days, 4:42:46 time: 0.4494 data_time: 0.0164 memory: 17087 grad_norm: 4.7917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8763 loss: 1.8763 2022/08/03 13:47:29 - mmengine - INFO - Epoch(train) [21][740/1879] lr: 1.0000e-02 eta: 2 days, 4:42:35 time: 0.4221 data_time: 0.0131 memory: 17087 grad_norm: 4.8497 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9016 loss: 1.9016 2022/08/03 13:47:38 - mmengine - INFO - Epoch(train) [21][760/1879] lr: 1.0000e-02 eta: 2 days, 4:42:26 time: 0.4256 data_time: 0.0162 memory: 17087 grad_norm: 4.7775 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7694 loss: 1.7694 2022/08/03 13:47:46 - mmengine - INFO - Epoch(train) [21][780/1879] lr: 1.0000e-02 eta: 2 days, 4:42:22 time: 0.4465 data_time: 0.0127 memory: 17087 grad_norm: 4.7178 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7901 loss: 1.7901 2022/08/03 13:47:55 - mmengine - INFO - Epoch(train) [21][800/1879] lr: 1.0000e-02 eta: 2 days, 4:42:12 time: 0.4252 data_time: 0.0153 memory: 17087 grad_norm: 4.6805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6734 loss: 1.6734 2022/08/03 13:48:03 - mmengine - INFO - Epoch(train) [21][820/1879] lr: 1.0000e-02 eta: 2 days, 4:42:03 time: 0.4272 data_time: 0.0164 memory: 17087 grad_norm: 4.6667 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9987 loss: 1.9987 2022/08/03 13:48:12 - mmengine - INFO - Epoch(train) [21][840/1879] lr: 1.0000e-02 eta: 2 days, 4:41:54 time: 0.4257 data_time: 0.0177 memory: 17087 grad_norm: 4.8081 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7986 loss: 1.7986 2022/08/03 13:48:21 - mmengine - INFO - Epoch(train) [21][860/1879] lr: 1.0000e-02 eta: 2 days, 4:41:45 time: 0.4279 data_time: 0.0163 memory: 17087 grad_norm: 4.7063 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7314 loss: 1.7314 2022/08/03 13:48:29 - mmengine - INFO - Epoch(train) [21][880/1879] lr: 1.0000e-02 eta: 2 days, 4:41:36 time: 0.4242 data_time: 0.0154 memory: 17087 grad_norm: 4.6362 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0293 loss: 2.0293 2022/08/03 13:48:38 - mmengine - INFO - Epoch(train) [21][900/1879] lr: 1.0000e-02 eta: 2 days, 4:41:26 time: 0.4244 data_time: 0.0141 memory: 17087 grad_norm: 4.7195 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.1311 loss: 2.1311 2022/08/03 13:48:46 - mmengine - INFO - Epoch(train) [21][920/1879] lr: 1.0000e-02 eta: 2 days, 4:41:19 time: 0.4320 data_time: 0.0153 memory: 17087 grad_norm: 4.6293 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9463 loss: 1.9463 2022/08/03 13:48:55 - mmengine - INFO - Epoch(train) [21][940/1879] lr: 1.0000e-02 eta: 2 days, 4:41:10 time: 0.4267 data_time: 0.0141 memory: 17087 grad_norm: 4.5926 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7987 loss: 1.7987 2022/08/03 13:49:04 - mmengine - INFO - Epoch(train) [21][960/1879] lr: 1.0000e-02 eta: 2 days, 4:41:05 time: 0.4451 data_time: 0.0158 memory: 17087 grad_norm: 4.6690 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6765 loss: 1.6765 2022/08/03 13:49:12 - mmengine - INFO - Epoch(train) [21][980/1879] lr: 1.0000e-02 eta: 2 days, 4:40:56 time: 0.4274 data_time: 0.0184 memory: 17087 grad_norm: 4.7731 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8682 loss: 1.8682 2022/08/03 13:49:21 - mmengine - INFO - Epoch(train) [21][1000/1879] lr: 1.0000e-02 eta: 2 days, 4:40:52 time: 0.4491 data_time: 0.0162 memory: 17087 grad_norm: 4.8641 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6719 loss: 1.6719 2022/08/03 13:49:30 - mmengine - INFO - Epoch(train) [21][1020/1879] lr: 1.0000e-02 eta: 2 days, 4:40:42 time: 0.4242 data_time: 0.0150 memory: 17087 grad_norm: 4.7062 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8571 loss: 1.8571 2022/08/03 13:49:38 - mmengine - INFO - Epoch(train) [21][1040/1879] lr: 1.0000e-02 eta: 2 days, 4:40:33 time: 0.4247 data_time: 0.0154 memory: 17087 grad_norm: 4.7097 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7480 loss: 1.7480 2022/08/03 13:49:47 - mmengine - INFO - Epoch(train) [21][1060/1879] lr: 1.0000e-02 eta: 2 days, 4:40:23 time: 0.4239 data_time: 0.0127 memory: 17087 grad_norm: 4.6014 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.8228 loss: 1.8228 2022/08/03 13:49:55 - mmengine - INFO - Epoch(train) [21][1080/1879] lr: 1.0000e-02 eta: 2 days, 4:40:14 time: 0.4255 data_time: 0.0147 memory: 17087 grad_norm: 4.8366 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8515 loss: 1.8515 2022/08/03 13:50:04 - mmengine - INFO - Epoch(train) [21][1100/1879] lr: 1.0000e-02 eta: 2 days, 4:40:05 time: 0.4258 data_time: 0.0159 memory: 17087 grad_norm: 4.7544 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7530 loss: 1.7530 2022/08/03 13:50:12 - mmengine - INFO - Epoch(train) [21][1120/1879] lr: 1.0000e-02 eta: 2 days, 4:39:56 time: 0.4263 data_time: 0.0174 memory: 17087 grad_norm: 4.7125 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9534 loss: 1.9534 2022/08/03 13:50:21 - mmengine - INFO - Epoch(train) [21][1140/1879] lr: 1.0000e-02 eta: 2 days, 4:39:46 time: 0.4258 data_time: 0.0147 memory: 17087 grad_norm: 4.7996 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8219 loss: 1.8219 2022/08/03 13:50:29 - mmengine - INFO - Epoch(train) [21][1160/1879] lr: 1.0000e-02 eta: 2 days, 4:39:37 time: 0.4264 data_time: 0.0157 memory: 17087 grad_norm: 4.7550 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8090 loss: 1.8090 2022/08/03 13:50:38 - mmengine - INFO - Epoch(train) [21][1180/1879] lr: 1.0000e-02 eta: 2 days, 4:39:29 time: 0.4306 data_time: 0.0156 memory: 17087 grad_norm: 4.8449 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7369 loss: 1.7369 2022/08/03 13:50:46 - mmengine - INFO - Epoch(train) [21][1200/1879] lr: 1.0000e-02 eta: 2 days, 4:39:21 time: 0.4318 data_time: 0.0181 memory: 17087 grad_norm: 4.8106 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8691 loss: 1.8691 2022/08/03 13:50:55 - mmengine - INFO - Epoch(train) [21][1220/1879] lr: 1.0000e-02 eta: 2 days, 4:39:13 time: 0.4311 data_time: 0.0147 memory: 17087 grad_norm: 4.7374 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7424 loss: 1.7424 2022/08/03 13:51:04 - mmengine - INFO - Epoch(train) [21][1240/1879] lr: 1.0000e-02 eta: 2 days, 4:39:04 time: 0.4260 data_time: 0.0162 memory: 17087 grad_norm: 4.6559 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7542 loss: 1.7542 2022/08/03 13:51:12 - mmengine - INFO - Epoch(train) [21][1260/1879] lr: 1.0000e-02 eta: 2 days, 4:38:58 time: 0.4406 data_time: 0.0161 memory: 17087 grad_norm: 4.8162 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 2.1632 loss: 2.1632 2022/08/03 13:51:21 - mmengine - INFO - Epoch(train) [21][1280/1879] lr: 1.0000e-02 eta: 2 days, 4:38:50 time: 0.4300 data_time: 0.0202 memory: 17087 grad_norm: 4.7622 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9035 loss: 1.9035 2022/08/03 13:51:30 - mmengine - INFO - Epoch(train) [21][1300/1879] lr: 1.0000e-02 eta: 2 days, 4:38:41 time: 0.4252 data_time: 0.0135 memory: 17087 grad_norm: 4.6773 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8969 loss: 1.8969 2022/08/03 13:51:38 - mmengine - INFO - Epoch(train) [21][1320/1879] lr: 1.0000e-02 eta: 2 days, 4:38:32 time: 0.4280 data_time: 0.0157 memory: 17087 grad_norm: 4.8687 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.1093 loss: 2.1093 2022/08/03 13:51:47 - mmengine - INFO - Epoch(train) [21][1340/1879] lr: 1.0000e-02 eta: 2 days, 4:38:26 time: 0.4388 data_time: 0.0148 memory: 17087 grad_norm: 4.7701 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9090 loss: 1.9090 2022/08/03 13:51:55 - mmengine - INFO - Epoch(train) [21][1360/1879] lr: 1.0000e-02 eta: 2 days, 4:38:16 time: 0.4241 data_time: 0.0151 memory: 17087 grad_norm: 4.6279 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9318 loss: 1.9318 2022/08/03 13:52:04 - mmengine - INFO - Epoch(train) [21][1380/1879] lr: 1.0000e-02 eta: 2 days, 4:38:10 time: 0.4386 data_time: 0.0142 memory: 17087 grad_norm: 4.7031 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8715 loss: 1.8715 2022/08/03 13:52:13 - mmengine - INFO - Epoch(train) [21][1400/1879] lr: 1.0000e-02 eta: 2 days, 4:38:01 time: 0.4262 data_time: 0.0202 memory: 17087 grad_norm: 4.8430 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8896 loss: 1.8896 2022/08/03 13:52:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:52:21 - mmengine - INFO - Epoch(train) [21][1420/1879] lr: 1.0000e-02 eta: 2 days, 4:37:51 time: 0.4240 data_time: 0.0147 memory: 17087 grad_norm: 4.7959 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0038 loss: 2.0038 2022/08/03 13:52:30 - mmengine - INFO - Epoch(train) [21][1440/1879] lr: 1.0000e-02 eta: 2 days, 4:37:42 time: 0.4271 data_time: 0.0182 memory: 17087 grad_norm: 4.6261 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8445 loss: 1.8445 2022/08/03 13:52:39 - mmengine - INFO - Epoch(train) [21][1460/1879] lr: 1.0000e-02 eta: 2 days, 4:37:37 time: 0.4449 data_time: 0.0136 memory: 17087 grad_norm: 4.7934 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9228 loss: 1.9228 2022/08/03 13:52:47 - mmengine - INFO - Epoch(train) [21][1480/1879] lr: 1.0000e-02 eta: 2 days, 4:37:29 time: 0.4284 data_time: 0.0201 memory: 17087 grad_norm: 4.7372 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6982 loss: 1.6982 2022/08/03 13:52:56 - mmengine - INFO - Epoch(train) [21][1500/1879] lr: 1.0000e-02 eta: 2 days, 4:37:24 time: 0.4459 data_time: 0.0154 memory: 17087 grad_norm: 4.7199 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0127 loss: 2.0127 2022/08/03 13:53:05 - mmengine - INFO - Epoch(train) [21][1520/1879] lr: 1.0000e-02 eta: 2 days, 4:37:15 time: 0.4265 data_time: 0.0162 memory: 17087 grad_norm: 4.6964 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7838 loss: 1.7838 2022/08/03 13:53:14 - mmengine - INFO - Epoch(train) [21][1540/1879] lr: 1.0000e-02 eta: 2 days, 4:37:10 time: 0.4435 data_time: 0.0184 memory: 17087 grad_norm: 4.7612 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8673 loss: 1.8673 2022/08/03 13:53:22 - mmengine - INFO - Epoch(train) [21][1560/1879] lr: 1.0000e-02 eta: 2 days, 4:37:00 time: 0.4258 data_time: 0.0148 memory: 17087 grad_norm: 4.8500 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7934 loss: 1.7934 2022/08/03 13:53:31 - mmengine - INFO - Epoch(train) [21][1580/1879] lr: 1.0000e-02 eta: 2 days, 4:36:56 time: 0.4451 data_time: 0.0203 memory: 17087 grad_norm: 4.7335 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9078 loss: 1.9078 2022/08/03 13:53:39 - mmengine - INFO - Epoch(train) [21][1600/1879] lr: 1.0000e-02 eta: 2 days, 4:36:46 time: 0.4251 data_time: 0.0157 memory: 17087 grad_norm: 4.8298 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.9361 loss: 1.9361 2022/08/03 13:53:48 - mmengine - INFO - Epoch(train) [21][1620/1879] lr: 1.0000e-02 eta: 2 days, 4:36:38 time: 0.4292 data_time: 0.0188 memory: 17087 grad_norm: 4.7126 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7667 loss: 1.7667 2022/08/03 13:53:57 - mmengine - INFO - Epoch(train) [21][1640/1879] lr: 1.0000e-02 eta: 2 days, 4:36:34 time: 0.4517 data_time: 0.0172 memory: 17087 grad_norm: 4.6640 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8813 loss: 1.8813 2022/08/03 13:54:06 - mmengine - INFO - Epoch(train) [21][1660/1879] lr: 1.0000e-02 eta: 2 days, 4:36:25 time: 0.4273 data_time: 0.0217 memory: 17087 grad_norm: 4.7772 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8032 loss: 1.8032 2022/08/03 13:54:14 - mmengine - INFO - Epoch(train) [21][1680/1879] lr: 1.0000e-02 eta: 2 days, 4:36:19 time: 0.4365 data_time: 0.0188 memory: 17087 grad_norm: 4.7598 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9508 loss: 1.9508 2022/08/03 13:54:23 - mmengine - INFO - Epoch(train) [21][1700/1879] lr: 1.0000e-02 eta: 2 days, 4:36:09 time: 0.4249 data_time: 0.0136 memory: 17087 grad_norm: 4.7920 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8970 loss: 1.8970 2022/08/03 13:54:32 - mmengine - INFO - Epoch(train) [21][1720/1879] lr: 1.0000e-02 eta: 2 days, 4:36:05 time: 0.4480 data_time: 0.0156 memory: 17087 grad_norm: 4.8011 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0277 loss: 2.0277 2022/08/03 13:54:40 - mmengine - INFO - Epoch(train) [21][1740/1879] lr: 1.0000e-02 eta: 2 days, 4:35:55 time: 0.4233 data_time: 0.0147 memory: 17087 grad_norm: 4.6723 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9026 loss: 1.9026 2022/08/03 13:54:49 - mmengine - INFO - Epoch(train) [21][1760/1879] lr: 1.0000e-02 eta: 2 days, 4:35:46 time: 0.4253 data_time: 0.0150 memory: 17087 grad_norm: 4.7139 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.9100 loss: 1.9100 2022/08/03 13:54:57 - mmengine - INFO - Epoch(train) [21][1780/1879] lr: 1.0000e-02 eta: 2 days, 4:35:37 time: 0.4265 data_time: 0.0156 memory: 17087 grad_norm: 4.7847 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7808 loss: 1.7808 2022/08/03 13:55:06 - mmengine - INFO - Epoch(train) [21][1800/1879] lr: 1.0000e-02 eta: 2 days, 4:35:27 time: 0.4247 data_time: 0.0163 memory: 17087 grad_norm: 4.8171 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9174 loss: 1.9174 2022/08/03 13:55:14 - mmengine - INFO - Epoch(train) [21][1820/1879] lr: 1.0000e-02 eta: 2 days, 4:35:18 time: 0.4233 data_time: 0.0144 memory: 17087 grad_norm: 4.8404 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0959 loss: 2.0959 2022/08/03 13:55:23 - mmengine - INFO - Epoch(train) [21][1840/1879] lr: 1.0000e-02 eta: 2 days, 4:35:08 time: 0.4240 data_time: 0.0176 memory: 17087 grad_norm: 4.7336 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8773 loss: 1.8773 2022/08/03 13:55:32 - mmengine - INFO - Epoch(train) [21][1860/1879] lr: 1.0000e-02 eta: 2 days, 4:35:03 time: 0.4455 data_time: 0.0167 memory: 17087 grad_norm: 4.6316 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7404 loss: 1.7404 2022/08/03 13:55:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:55:39 - mmengine - INFO - Epoch(train) [21][1879/1879] lr: 1.0000e-02 eta: 2 days, 4:35:03 time: 0.4050 data_time: 0.0141 memory: 17087 grad_norm: 4.9219 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.0222 loss: 2.0222 2022/08/03 13:55:51 - mmengine - INFO - Epoch(train) [22][20/1879] lr: 1.0000e-02 eta: 2 days, 4:33:47 time: 0.5683 data_time: 0.1155 memory: 17087 grad_norm: 4.6077 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.7161 loss: 1.7161 2022/08/03 13:55:59 - mmengine - INFO - Epoch(train) [22][40/1879] lr: 1.0000e-02 eta: 2 days, 4:33:37 time: 0.4249 data_time: 0.0149 memory: 17087 grad_norm: 4.7433 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7806 loss: 1.7806 2022/08/03 13:56:08 - mmengine - INFO - Epoch(train) [22][60/1879] lr: 1.0000e-02 eta: 2 days, 4:33:28 time: 0.4250 data_time: 0.0131 memory: 17087 grad_norm: 4.8293 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8083 loss: 1.8083 2022/08/03 13:56:16 - mmengine - INFO - Epoch(train) [22][80/1879] lr: 1.0000e-02 eta: 2 days, 4:33:19 time: 0.4288 data_time: 0.0150 memory: 17087 grad_norm: 4.6915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7142 loss: 1.7142 2022/08/03 13:56:25 - mmengine - INFO - Epoch(train) [22][100/1879] lr: 1.0000e-02 eta: 2 days, 4:33:10 time: 0.4244 data_time: 0.0165 memory: 17087 grad_norm: 4.7888 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9391 loss: 1.9391 2022/08/03 13:56:33 - mmengine - INFO - Epoch(train) [22][120/1879] lr: 1.0000e-02 eta: 2 days, 4:33:01 time: 0.4295 data_time: 0.0153 memory: 17087 grad_norm: 4.9008 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7595 loss: 1.7595 2022/08/03 13:56:42 - mmengine - INFO - Epoch(train) [22][140/1879] lr: 1.0000e-02 eta: 2 days, 4:32:52 time: 0.4233 data_time: 0.0148 memory: 17087 grad_norm: 4.8126 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9164 loss: 1.9164 2022/08/03 13:56:50 - mmengine - INFO - Epoch(train) [22][160/1879] lr: 1.0000e-02 eta: 2 days, 4:32:42 time: 0.4247 data_time: 0.0148 memory: 17087 grad_norm: 4.7186 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8494 loss: 1.8494 2022/08/03 13:56:59 - mmengine - INFO - Epoch(train) [22][180/1879] lr: 1.0000e-02 eta: 2 days, 4:32:33 time: 0.4242 data_time: 0.0141 memory: 17087 grad_norm: 4.8188 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6513 loss: 1.6513 2022/08/03 13:57:08 - mmengine - INFO - Epoch(train) [22][200/1879] lr: 1.0000e-02 eta: 2 days, 4:32:24 time: 0.4302 data_time: 0.0168 memory: 17087 grad_norm: 4.7364 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7415 loss: 1.7415 2022/08/03 13:57:16 - mmengine - INFO - Epoch(train) [22][220/1879] lr: 1.0000e-02 eta: 2 days, 4:32:16 time: 0.4270 data_time: 0.0139 memory: 17087 grad_norm: 4.7993 top1_acc: 0.2500 top5_acc: 0.5000 loss_cls: 2.0052 loss: 2.0052 2022/08/03 13:57:25 - mmengine - INFO - Epoch(train) [22][240/1879] lr: 1.0000e-02 eta: 2 days, 4:32:10 time: 0.4423 data_time: 0.0164 memory: 17087 grad_norm: 4.8409 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9576 loss: 1.9576 2022/08/03 13:57:33 - mmengine - INFO - Epoch(train) [22][260/1879] lr: 1.0000e-02 eta: 2 days, 4:32:00 time: 0.4233 data_time: 0.0154 memory: 17087 grad_norm: 4.6746 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7841 loss: 1.7841 2022/08/03 13:57:42 - mmengine - INFO - Epoch(train) [22][280/1879] lr: 1.0000e-02 eta: 2 days, 4:31:52 time: 0.4302 data_time: 0.0173 memory: 17087 grad_norm: 4.7176 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7818 loss: 1.7818 2022/08/03 13:57:50 - mmengine - INFO - Epoch(train) [22][300/1879] lr: 1.0000e-02 eta: 2 days, 4:31:43 time: 0.4240 data_time: 0.0138 memory: 17087 grad_norm: 4.7186 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8607 loss: 1.8607 2022/08/03 13:57:59 - mmengine - INFO - Epoch(train) [22][320/1879] lr: 1.0000e-02 eta: 2 days, 4:31:33 time: 0.4258 data_time: 0.0155 memory: 17087 grad_norm: 4.8889 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6374 loss: 1.6374 2022/08/03 13:58:07 - mmengine - INFO - Epoch(train) [22][340/1879] lr: 1.0000e-02 eta: 2 days, 4:31:24 time: 0.4228 data_time: 0.0137 memory: 17087 grad_norm: 4.8383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7691 loss: 1.7691 2022/08/03 13:58:16 - mmengine - INFO - Epoch(train) [22][360/1879] lr: 1.0000e-02 eta: 2 days, 4:31:15 time: 0.4296 data_time: 0.0174 memory: 17087 grad_norm: 4.8458 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7990 loss: 1.7990 2022/08/03 13:58:24 - mmengine - INFO - Epoch(train) [22][380/1879] lr: 1.0000e-02 eta: 2 days, 4:31:05 time: 0.4224 data_time: 0.0138 memory: 17087 grad_norm: 4.7567 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.9422 loss: 1.9422 2022/08/03 13:58:33 - mmengine - INFO - Epoch(train) [22][400/1879] lr: 1.0000e-02 eta: 2 days, 4:31:00 time: 0.4444 data_time: 0.0166 memory: 17087 grad_norm: 4.8067 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.9233 loss: 1.9233 2022/08/03 13:58:42 - mmengine - INFO - Epoch(train) [22][420/1879] lr: 1.0000e-02 eta: 2 days, 4:30:51 time: 0.4259 data_time: 0.0152 memory: 17087 grad_norm: 4.6178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9055 loss: 1.9055 2022/08/03 13:58:50 - mmengine - INFO - Epoch(train) [22][440/1879] lr: 1.0000e-02 eta: 2 days, 4:30:42 time: 0.4247 data_time: 0.0155 memory: 17087 grad_norm: 4.6622 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6293 loss: 1.6293 2022/08/03 13:58:59 - mmengine - INFO - Epoch(train) [22][460/1879] lr: 1.0000e-02 eta: 2 days, 4:30:35 time: 0.4362 data_time: 0.0148 memory: 17087 grad_norm: 4.7393 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9107 loss: 1.9107 2022/08/03 13:59:08 - mmengine - INFO - Epoch(train) [22][480/1879] lr: 1.0000e-02 eta: 2 days, 4:30:26 time: 0.4256 data_time: 0.0164 memory: 17087 grad_norm: 4.7232 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8210 loss: 1.8210 2022/08/03 13:59:16 - mmengine - INFO - Epoch(train) [22][500/1879] lr: 1.0000e-02 eta: 2 days, 4:30:18 time: 0.4341 data_time: 0.0186 memory: 17087 grad_norm: 4.7380 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9979 loss: 1.9979 2022/08/03 13:59:25 - mmengine - INFO - Epoch(train) [22][520/1879] lr: 1.0000e-02 eta: 2 days, 4:30:11 time: 0.4332 data_time: 0.0181 memory: 17087 grad_norm: 4.8353 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8213 loss: 1.8213 2022/08/03 13:59:33 - mmengine - INFO - Epoch(train) [22][540/1879] lr: 1.0000e-02 eta: 2 days, 4:30:01 time: 0.4234 data_time: 0.0132 memory: 17087 grad_norm: 4.7382 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8604 loss: 1.8604 2022/08/03 13:59:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 13:59:42 - mmengine - INFO - Epoch(train) [22][560/1879] lr: 1.0000e-02 eta: 2 days, 4:29:52 time: 0.4286 data_time: 0.0155 memory: 17087 grad_norm: 4.7341 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8708 loss: 1.8708 2022/08/03 13:59:51 - mmengine - INFO - Epoch(train) [22][580/1879] lr: 1.0000e-02 eta: 2 days, 4:29:43 time: 0.4233 data_time: 0.0126 memory: 17087 grad_norm: 4.7631 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7574 loss: 1.7574 2022/08/03 13:59:59 - mmengine - INFO - Epoch(train) [22][600/1879] lr: 1.0000e-02 eta: 2 days, 4:29:33 time: 0.4238 data_time: 0.0164 memory: 17087 grad_norm: 4.6720 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5463 loss: 1.5463 2022/08/03 14:00:08 - mmengine - INFO - Epoch(train) [22][620/1879] lr: 1.0000e-02 eta: 2 days, 4:29:25 time: 0.4322 data_time: 0.0162 memory: 17087 grad_norm: 4.8464 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9342 loss: 1.9342 2022/08/03 14:00:16 - mmengine - INFO - Epoch(train) [22][640/1879] lr: 1.0000e-02 eta: 2 days, 4:29:16 time: 0.4271 data_time: 0.0166 memory: 17087 grad_norm: 4.8795 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0625 loss: 2.0625 2022/08/03 14:00:25 - mmengine - INFO - Epoch(train) [22][660/1879] lr: 1.0000e-02 eta: 2 days, 4:29:13 time: 0.4542 data_time: 0.0153 memory: 17087 grad_norm: 4.8295 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8679 loss: 1.8679 2022/08/03 14:00:34 - mmengine - INFO - Epoch(train) [22][680/1879] lr: 1.0000e-02 eta: 2 days, 4:29:05 time: 0.4275 data_time: 0.0170 memory: 17087 grad_norm: 4.7233 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7961 loss: 1.7961 2022/08/03 14:00:42 - mmengine - INFO - Epoch(train) [22][700/1879] lr: 1.0000e-02 eta: 2 days, 4:28:55 time: 0.4225 data_time: 0.0134 memory: 17087 grad_norm: 4.7559 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7770 loss: 1.7770 2022/08/03 14:00:51 - mmengine - INFO - Epoch(train) [22][720/1879] lr: 1.0000e-02 eta: 2 days, 4:28:46 time: 0.4282 data_time: 0.0186 memory: 17087 grad_norm: 4.6251 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8662 loss: 1.8662 2022/08/03 14:00:59 - mmengine - INFO - Epoch(train) [22][740/1879] lr: 1.0000e-02 eta: 2 days, 4:28:37 time: 0.4242 data_time: 0.0130 memory: 17087 grad_norm: 4.7499 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7058 loss: 1.7058 2022/08/03 14:01:08 - mmengine - INFO - Epoch(train) [22][760/1879] lr: 1.0000e-02 eta: 2 days, 4:28:27 time: 0.4255 data_time: 0.0160 memory: 17087 grad_norm: 4.7001 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6661 loss: 1.6661 2022/08/03 14:01:16 - mmengine - INFO - Epoch(train) [22][780/1879] lr: 1.0000e-02 eta: 2 days, 4:28:19 time: 0.4284 data_time: 0.0190 memory: 17087 grad_norm: 4.7302 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7592 loss: 1.7592 2022/08/03 14:01:25 - mmengine - INFO - Epoch(train) [22][800/1879] lr: 1.0000e-02 eta: 2 days, 4:28:10 time: 0.4266 data_time: 0.0159 memory: 17087 grad_norm: 4.7683 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9702 loss: 1.9702 2022/08/03 14:01:34 - mmengine - INFO - Epoch(train) [22][820/1879] lr: 1.0000e-02 eta: 2 days, 4:28:01 time: 0.4289 data_time: 0.0142 memory: 17087 grad_norm: 4.6799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7628 loss: 1.7628 2022/08/03 14:01:42 - mmengine - INFO - Epoch(train) [22][840/1879] lr: 1.0000e-02 eta: 2 days, 4:27:52 time: 0.4244 data_time: 0.0165 memory: 17087 grad_norm: 4.7345 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8211 loss: 1.8211 2022/08/03 14:01:50 - mmengine - INFO - Epoch(train) [22][860/1879] lr: 1.0000e-02 eta: 2 days, 4:27:42 time: 0.4231 data_time: 0.0142 memory: 17087 grad_norm: 4.7970 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7981 loss: 1.7981 2022/08/03 14:01:59 - mmengine - INFO - Epoch(train) [22][880/1879] lr: 1.0000e-02 eta: 2 days, 4:27:34 time: 0.4335 data_time: 0.0171 memory: 17087 grad_norm: 4.6810 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9069 loss: 1.9069 2022/08/03 14:02:08 - mmengine - INFO - Epoch(train) [22][900/1879] lr: 1.0000e-02 eta: 2 days, 4:27:25 time: 0.4255 data_time: 0.0146 memory: 17087 grad_norm: 4.8605 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8177 loss: 1.8177 2022/08/03 14:02:17 - mmengine - INFO - Epoch(train) [22][920/1879] lr: 1.0000e-02 eta: 2 days, 4:27:22 time: 0.4539 data_time: 0.0150 memory: 17087 grad_norm: 4.7717 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 2.0003 loss: 2.0003 2022/08/03 14:02:25 - mmengine - INFO - Epoch(train) [22][940/1879] lr: 1.0000e-02 eta: 2 days, 4:27:13 time: 0.4256 data_time: 0.0149 memory: 17087 grad_norm: 4.6213 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7305 loss: 1.7305 2022/08/03 14:02:34 - mmengine - INFO - Epoch(train) [22][960/1879] lr: 1.0000e-02 eta: 2 days, 4:27:04 time: 0.4253 data_time: 0.0152 memory: 17087 grad_norm: 4.9217 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 2.1654 loss: 2.1654 2022/08/03 14:02:43 - mmengine - INFO - Epoch(train) [22][980/1879] lr: 1.0000e-02 eta: 2 days, 4:27:00 time: 0.4486 data_time: 0.0145 memory: 17087 grad_norm: 4.6887 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9974 loss: 1.9974 2022/08/03 14:02:51 - mmengine - INFO - Epoch(train) [22][1000/1879] lr: 1.0000e-02 eta: 2 days, 4:26:50 time: 0.4257 data_time: 0.0155 memory: 17087 grad_norm: 4.6489 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 2.0272 loss: 2.0272 2022/08/03 14:03:00 - mmengine - INFO - Epoch(train) [22][1020/1879] lr: 1.0000e-02 eta: 2 days, 4:26:41 time: 0.4271 data_time: 0.0174 memory: 17087 grad_norm: 4.6342 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8351 loss: 1.8351 2022/08/03 14:03:09 - mmengine - INFO - Epoch(train) [22][1040/1879] lr: 1.0000e-02 eta: 2 days, 4:26:35 time: 0.4365 data_time: 0.0161 memory: 17087 grad_norm: 4.7833 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8544 loss: 1.8544 2022/08/03 14:03:17 - mmengine - INFO - Epoch(train) [22][1060/1879] lr: 1.0000e-02 eta: 2 days, 4:26:25 time: 0.4232 data_time: 0.0141 memory: 17087 grad_norm: 4.5976 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8788 loss: 1.8788 2022/08/03 14:03:26 - mmengine - INFO - Epoch(train) [22][1080/1879] lr: 1.0000e-02 eta: 2 days, 4:26:17 time: 0.4312 data_time: 0.0179 memory: 17087 grad_norm: 4.8069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9233 loss: 1.9233 2022/08/03 14:03:34 - mmengine - INFO - Epoch(train) [22][1100/1879] lr: 1.0000e-02 eta: 2 days, 4:26:08 time: 0.4261 data_time: 0.0166 memory: 17087 grad_norm: 4.7864 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8741 loss: 1.8741 2022/08/03 14:03:43 - mmengine - INFO - Epoch(train) [22][1120/1879] lr: 1.0000e-02 eta: 2 days, 4:26:03 time: 0.4484 data_time: 0.0184 memory: 17087 grad_norm: 4.8750 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 2.0271 loss: 2.0271 2022/08/03 14:03:52 - mmengine - INFO - Epoch(train) [22][1140/1879] lr: 1.0000e-02 eta: 2 days, 4:25:54 time: 0.4230 data_time: 0.0143 memory: 17087 grad_norm: 4.8403 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8941 loss: 1.8941 2022/08/03 14:04:00 - mmengine - INFO - Epoch(train) [22][1160/1879] lr: 1.0000e-02 eta: 2 days, 4:25:45 time: 0.4278 data_time: 0.0190 memory: 17087 grad_norm: 4.8402 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7858 loss: 1.7858 2022/08/03 14:04:09 - mmengine - INFO - Epoch(train) [22][1180/1879] lr: 1.0000e-02 eta: 2 days, 4:25:39 time: 0.4386 data_time: 0.0136 memory: 17087 grad_norm: 4.7662 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8986 loss: 1.8986 2022/08/03 14:04:17 - mmengine - INFO - Epoch(train) [22][1200/1879] lr: 1.0000e-02 eta: 2 days, 4:25:29 time: 0.4257 data_time: 0.0155 memory: 17087 grad_norm: 4.8716 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.9014 loss: 1.9014 2022/08/03 14:04:26 - mmengine - INFO - Epoch(train) [22][1220/1879] lr: 1.0000e-02 eta: 2 days, 4:25:25 time: 0.4469 data_time: 0.0139 memory: 17087 grad_norm: 4.6927 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8774 loss: 1.8774 2022/08/03 14:04:35 - mmengine - INFO - Epoch(train) [22][1240/1879] lr: 1.0000e-02 eta: 2 days, 4:25:16 time: 0.4301 data_time: 0.0157 memory: 17087 grad_norm: 4.7574 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9142 loss: 1.9142 2022/08/03 14:04:44 - mmengine - INFO - Epoch(train) [22][1260/1879] lr: 1.0000e-02 eta: 2 days, 4:25:08 time: 0.4290 data_time: 0.0197 memory: 17087 grad_norm: 4.8980 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 2.0078 loss: 2.0078 2022/08/03 14:04:52 - mmengine - INFO - Epoch(train) [22][1280/1879] lr: 1.0000e-02 eta: 2 days, 4:25:02 time: 0.4411 data_time: 0.0184 memory: 17087 grad_norm: 4.6989 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8031 loss: 1.8031 2022/08/03 14:05:01 - mmengine - INFO - Epoch(train) [22][1300/1879] lr: 1.0000e-02 eta: 2 days, 4:24:52 time: 0.4223 data_time: 0.0128 memory: 17087 grad_norm: 4.8883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8838 loss: 1.8838 2022/08/03 14:05:09 - mmengine - INFO - Epoch(train) [22][1320/1879] lr: 1.0000e-02 eta: 2 days, 4:24:43 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 4.7554 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5967 loss: 1.5967 2022/08/03 14:05:18 - mmengine - INFO - Epoch(train) [22][1340/1879] lr: 1.0000e-02 eta: 2 days, 4:24:39 time: 0.4476 data_time: 0.0147 memory: 17087 grad_norm: 4.8316 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8639 loss: 1.8639 2022/08/03 14:05:27 - mmengine - INFO - Epoch(train) [22][1360/1879] lr: 1.0000e-02 eta: 2 days, 4:24:29 time: 0.4251 data_time: 0.0157 memory: 17087 grad_norm: 4.6890 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6359 loss: 1.6359 2022/08/03 14:05:35 - mmengine - INFO - Epoch(train) [22][1380/1879] lr: 1.0000e-02 eta: 2 days, 4:24:21 time: 0.4316 data_time: 0.0157 memory: 17087 grad_norm: 4.8437 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9533 loss: 1.9533 2022/08/03 14:05:44 - mmengine - INFO - Epoch(train) [22][1400/1879] lr: 1.0000e-02 eta: 2 days, 4:24:12 time: 0.4248 data_time: 0.0154 memory: 17087 grad_norm: 4.7079 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9981 loss: 1.9981 2022/08/03 14:05:53 - mmengine - INFO - Epoch(train) [22][1420/1879] lr: 1.0000e-02 eta: 2 days, 4:24:07 time: 0.4454 data_time: 0.0154 memory: 17087 grad_norm: 4.8771 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9117 loss: 1.9117 2022/08/03 14:06:01 - mmengine - INFO - Epoch(train) [22][1440/1879] lr: 1.0000e-02 eta: 2 days, 4:23:57 time: 0.4231 data_time: 0.0151 memory: 17087 grad_norm: 4.8334 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7006 loss: 1.7006 2022/08/03 14:06:10 - mmengine - INFO - Epoch(train) [22][1460/1879] lr: 1.0000e-02 eta: 2 days, 4:23:48 time: 0.4241 data_time: 0.0124 memory: 17087 grad_norm: 4.9633 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 2.0106 loss: 2.0106 2022/08/03 14:06:18 - mmengine - INFO - Epoch(train) [22][1480/1879] lr: 1.0000e-02 eta: 2 days, 4:23:39 time: 0.4256 data_time: 0.0161 memory: 17087 grad_norm: 4.7745 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8427 loss: 1.8427 2022/08/03 14:06:27 - mmengine - INFO - Epoch(train) [22][1500/1879] lr: 1.0000e-02 eta: 2 days, 4:23:29 time: 0.4222 data_time: 0.0136 memory: 17087 grad_norm: 4.6293 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7192 loss: 1.7192 2022/08/03 14:06:35 - mmengine - INFO - Epoch(train) [22][1520/1879] lr: 1.0000e-02 eta: 2 days, 4:23:21 time: 0.4317 data_time: 0.0149 memory: 17087 grad_norm: 4.8468 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8945 loss: 1.8945 2022/08/03 14:06:44 - mmengine - INFO - Epoch(train) [22][1540/1879] lr: 1.0000e-02 eta: 2 days, 4:23:11 time: 0.4228 data_time: 0.0134 memory: 17087 grad_norm: 4.8105 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8289 loss: 1.8289 2022/08/03 14:06:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:06:53 - mmengine - INFO - Epoch(train) [22][1560/1879] lr: 1.0000e-02 eta: 2 days, 4:23:03 time: 0.4337 data_time: 0.0184 memory: 17087 grad_norm: 4.8412 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8002 loss: 1.8002 2022/08/03 14:07:01 - mmengine - INFO - Epoch(train) [22][1580/1879] lr: 1.0000e-02 eta: 2 days, 4:22:54 time: 0.4230 data_time: 0.0154 memory: 17087 grad_norm: 4.7825 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8077 loss: 1.8077 2022/08/03 14:07:10 - mmengine - INFO - Epoch(train) [22][1600/1879] lr: 1.0000e-02 eta: 2 days, 4:22:47 time: 0.4382 data_time: 0.0164 memory: 17087 grad_norm: 4.7947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6235 loss: 1.6235 2022/08/03 14:07:18 - mmengine - INFO - Epoch(train) [22][1620/1879] lr: 1.0000e-02 eta: 2 days, 4:22:39 time: 0.4320 data_time: 0.0159 memory: 17087 grad_norm: 4.8022 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7651 loss: 1.7651 2022/08/03 14:07:27 - mmengine - INFO - Epoch(train) [22][1640/1879] lr: 1.0000e-02 eta: 2 days, 4:22:30 time: 0.4245 data_time: 0.0160 memory: 17087 grad_norm: 4.7277 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0666 loss: 2.0666 2022/08/03 14:07:36 - mmengine - INFO - Epoch(train) [22][1660/1879] lr: 1.0000e-02 eta: 2 days, 4:22:25 time: 0.4454 data_time: 0.0145 memory: 17087 grad_norm: 4.7607 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8156 loss: 1.8156 2022/08/03 14:07:44 - mmengine - INFO - Epoch(train) [22][1680/1879] lr: 1.0000e-02 eta: 2 days, 4:22:16 time: 0.4253 data_time: 0.0158 memory: 17087 grad_norm: 4.5927 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7242 loss: 1.7242 2022/08/03 14:07:53 - mmengine - INFO - Epoch(train) [22][1700/1879] lr: 1.0000e-02 eta: 2 days, 4:22:08 time: 0.4344 data_time: 0.0144 memory: 17087 grad_norm: 4.7574 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8614 loss: 1.8614 2022/08/03 14:08:02 - mmengine - INFO - Epoch(train) [22][1720/1879] lr: 1.0000e-02 eta: 2 days, 4:21:59 time: 0.4260 data_time: 0.0151 memory: 17087 grad_norm: 4.7530 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8949 loss: 1.8949 2022/08/03 14:08:10 - mmengine - INFO - Epoch(train) [22][1740/1879] lr: 1.0000e-02 eta: 2 days, 4:21:49 time: 0.4216 data_time: 0.0126 memory: 17087 grad_norm: 4.7680 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6995 loss: 1.6995 2022/08/03 14:08:19 - mmengine - INFO - Epoch(train) [22][1760/1879] lr: 1.0000e-02 eta: 2 days, 4:21:41 time: 0.4292 data_time: 0.0166 memory: 17087 grad_norm: 4.8812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9795 loss: 1.9795 2022/08/03 14:08:27 - mmengine - INFO - Epoch(train) [22][1780/1879] lr: 1.0000e-02 eta: 2 days, 4:21:31 time: 0.4231 data_time: 0.0136 memory: 17087 grad_norm: 4.8550 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6731 loss: 1.6731 2022/08/03 14:08:36 - mmengine - INFO - Epoch(train) [22][1800/1879] lr: 1.0000e-02 eta: 2 days, 4:21:22 time: 0.4287 data_time: 0.0190 memory: 17087 grad_norm: 4.6708 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8782 loss: 1.8782 2022/08/03 14:08:44 - mmengine - INFO - Epoch(train) [22][1820/1879] lr: 1.0000e-02 eta: 2 days, 4:21:12 time: 0.4226 data_time: 0.0161 memory: 17087 grad_norm: 4.7123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8025 loss: 1.8025 2022/08/03 14:08:53 - mmengine - INFO - Epoch(train) [22][1840/1879] lr: 1.0000e-02 eta: 2 days, 4:21:04 time: 0.4273 data_time: 0.0154 memory: 17087 grad_norm: 4.6965 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7523 loss: 1.7523 2022/08/03 14:09:01 - mmengine - INFO - Epoch(train) [22][1860/1879] lr: 1.0000e-02 eta: 2 days, 4:20:54 time: 0.4222 data_time: 0.0145 memory: 17087 grad_norm: 4.6953 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8706 loss: 1.8706 2022/08/03 14:09:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:09:09 - mmengine - INFO - Epoch(train) [22][1879/1879] lr: 1.0000e-02 eta: 2 days, 4:20:54 time: 0.4051 data_time: 0.0145 memory: 17087 grad_norm: 4.7903 top1_acc: 0.1429 top5_acc: 0.5714 loss_cls: 2.0731 loss: 2.0731 2022/08/03 14:09:20 - mmengine - INFO - Epoch(train) [23][20/1879] lr: 1.0000e-02 eta: 2 days, 4:19:38 time: 0.5608 data_time: 0.0994 memory: 17087 grad_norm: 4.5774 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8676 loss: 1.8676 2022/08/03 14:09:29 - mmengine - INFO - Epoch(train) [23][40/1879] lr: 1.0000e-02 eta: 2 days, 4:19:31 time: 0.4360 data_time: 0.0147 memory: 17087 grad_norm: 4.6764 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8915 loss: 1.8915 2022/08/03 14:09:37 - mmengine - INFO - Epoch(train) [23][60/1879] lr: 1.0000e-02 eta: 2 days, 4:19:23 time: 0.4312 data_time: 0.0181 memory: 17087 grad_norm: 4.7271 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6963 loss: 1.6963 2022/08/03 14:09:46 - mmengine - INFO - Epoch(train) [23][80/1879] lr: 1.0000e-02 eta: 2 days, 4:19:14 time: 0.4244 data_time: 0.0176 memory: 17087 grad_norm: 4.7515 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6241 loss: 1.6241 2022/08/03 14:09:55 - mmengine - INFO - Epoch(train) [23][100/1879] lr: 1.0000e-02 eta: 2 days, 4:19:10 time: 0.4477 data_time: 0.0149 memory: 17087 grad_norm: 4.7797 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8058 loss: 1.8058 2022/08/03 14:10:04 - mmengine - INFO - Epoch(train) [23][120/1879] lr: 1.0000e-02 eta: 2 days, 4:19:03 time: 0.4376 data_time: 0.0168 memory: 17087 grad_norm: 4.7661 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7807 loss: 1.7807 2022/08/03 14:10:12 - mmengine - INFO - Epoch(train) [23][140/1879] lr: 1.0000e-02 eta: 2 days, 4:18:58 time: 0.4444 data_time: 0.0128 memory: 17087 grad_norm: 4.8475 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6400 loss: 1.6400 2022/08/03 14:10:21 - mmengine - INFO - Epoch(train) [23][160/1879] lr: 1.0000e-02 eta: 2 days, 4:18:48 time: 0.4250 data_time: 0.0177 memory: 17087 grad_norm: 4.8121 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8555 loss: 1.8555 2022/08/03 14:10:30 - mmengine - INFO - Epoch(train) [23][180/1879] lr: 1.0000e-02 eta: 2 days, 4:18:40 time: 0.4312 data_time: 0.0126 memory: 17087 grad_norm: 4.8049 top1_acc: 0.2500 top5_acc: 0.9375 loss_cls: 1.8714 loss: 1.8714 2022/08/03 14:10:38 - mmengine - INFO - Epoch(train) [23][200/1879] lr: 1.0000e-02 eta: 2 days, 4:18:33 time: 0.4337 data_time: 0.0179 memory: 17087 grad_norm: 4.8831 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7176 loss: 1.7176 2022/08/03 14:10:47 - mmengine - INFO - Epoch(train) [23][220/1879] lr: 1.0000e-02 eta: 2 days, 4:18:23 time: 0.4226 data_time: 0.0151 memory: 17087 grad_norm: 4.7573 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7825 loss: 1.7825 2022/08/03 14:10:56 - mmengine - INFO - Epoch(train) [23][240/1879] lr: 1.0000e-02 eta: 2 days, 4:18:20 time: 0.4520 data_time: 0.0180 memory: 17087 grad_norm: 4.7408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7580 loss: 1.7580 2022/08/03 14:11:04 - mmengine - INFO - Epoch(train) [23][260/1879] lr: 1.0000e-02 eta: 2 days, 4:18:11 time: 0.4289 data_time: 0.0198 memory: 17087 grad_norm: 4.7418 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7445 loss: 1.7445 2022/08/03 14:11:13 - mmengine - INFO - Epoch(train) [23][280/1879] lr: 1.0000e-02 eta: 2 days, 4:18:02 time: 0.4270 data_time: 0.0170 memory: 17087 grad_norm: 4.7579 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6563 loss: 1.6563 2022/08/03 14:11:21 - mmengine - INFO - Epoch(train) [23][300/1879] lr: 1.0000e-02 eta: 2 days, 4:17:52 time: 0.4220 data_time: 0.0139 memory: 17087 grad_norm: 4.8048 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8661 loss: 1.8661 2022/08/03 14:11:30 - mmengine - INFO - Epoch(train) [23][320/1879] lr: 1.0000e-02 eta: 2 days, 4:17:43 time: 0.4255 data_time: 0.0166 memory: 17087 grad_norm: 4.8365 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8570 loss: 1.8570 2022/08/03 14:11:39 - mmengine - INFO - Epoch(train) [23][340/1879] lr: 1.0000e-02 eta: 2 days, 4:17:35 time: 0.4328 data_time: 0.0160 memory: 17087 grad_norm: 4.6831 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7698 loss: 1.7698 2022/08/03 14:11:47 - mmengine - INFO - Epoch(train) [23][360/1879] lr: 1.0000e-02 eta: 2 days, 4:17:27 time: 0.4273 data_time: 0.0162 memory: 17087 grad_norm: 4.7115 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9137 loss: 1.9137 2022/08/03 14:11:56 - mmengine - INFO - Epoch(train) [23][380/1879] lr: 1.0000e-02 eta: 2 days, 4:17:21 time: 0.4444 data_time: 0.0142 memory: 17087 grad_norm: 4.7402 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6864 loss: 1.6864 2022/08/03 14:12:04 - mmengine - INFO - Epoch(train) [23][400/1879] lr: 1.0000e-02 eta: 2 days, 4:17:12 time: 0.4260 data_time: 0.0158 memory: 17087 grad_norm: 4.7849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8454 loss: 1.8454 2022/08/03 14:12:13 - mmengine - INFO - Epoch(train) [23][420/1879] lr: 1.0000e-02 eta: 2 days, 4:17:04 time: 0.4277 data_time: 0.0148 memory: 17087 grad_norm: 4.8259 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7168 loss: 1.7168 2022/08/03 14:12:22 - mmengine - INFO - Epoch(train) [23][440/1879] lr: 1.0000e-02 eta: 2 days, 4:16:54 time: 0.4227 data_time: 0.0148 memory: 17087 grad_norm: 4.8189 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9633 loss: 1.9633 2022/08/03 14:12:30 - mmengine - INFO - Epoch(train) [23][460/1879] lr: 1.0000e-02 eta: 2 days, 4:16:44 time: 0.4239 data_time: 0.0138 memory: 17087 grad_norm: 4.7861 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7013 loss: 1.7013 2022/08/03 14:12:38 - mmengine - INFO - Epoch(train) [23][480/1879] lr: 1.0000e-02 eta: 2 days, 4:16:35 time: 0.4255 data_time: 0.0158 memory: 17087 grad_norm: 4.8896 top1_acc: 0.2500 top5_acc: 0.7500 loss_cls: 1.7768 loss: 1.7768 2022/08/03 14:12:47 - mmengine - INFO - Epoch(train) [23][500/1879] lr: 1.0000e-02 eta: 2 days, 4:16:26 time: 0.4288 data_time: 0.0195 memory: 17087 grad_norm: 4.9173 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7733 loss: 1.7733 2022/08/03 14:12:56 - mmengine - INFO - Epoch(train) [23][520/1879] lr: 1.0000e-02 eta: 2 days, 4:16:19 time: 0.4358 data_time: 0.0157 memory: 17087 grad_norm: 4.6276 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7499 loss: 1.7499 2022/08/03 14:13:04 - mmengine - INFO - Epoch(train) [23][540/1879] lr: 1.0000e-02 eta: 2 days, 4:16:10 time: 0.4249 data_time: 0.0158 memory: 17087 grad_norm: 4.9524 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8392 loss: 1.8392 2022/08/03 14:13:13 - mmengine - INFO - Epoch(train) [23][560/1879] lr: 1.0000e-02 eta: 2 days, 4:16:04 time: 0.4410 data_time: 0.0156 memory: 17087 grad_norm: 4.7526 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8315 loss: 1.8315 2022/08/03 14:13:22 - mmengine - INFO - Epoch(train) [23][580/1879] lr: 1.0000e-02 eta: 2 days, 4:15:54 time: 0.4224 data_time: 0.0140 memory: 17087 grad_norm: 4.7117 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8804 loss: 1.8804 2022/08/03 14:13:30 - mmengine - INFO - Epoch(train) [23][600/1879] lr: 1.0000e-02 eta: 2 days, 4:15:46 time: 0.4314 data_time: 0.0164 memory: 17087 grad_norm: 4.7699 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8311 loss: 1.8311 2022/08/03 14:13:39 - mmengine - INFO - Epoch(train) [23][620/1879] lr: 1.0000e-02 eta: 2 days, 4:15:38 time: 0.4292 data_time: 0.0128 memory: 17087 grad_norm: 4.7900 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7553 loss: 1.7553 2022/08/03 14:13:47 - mmengine - INFO - Epoch(train) [23][640/1879] lr: 1.0000e-02 eta: 2 days, 4:15:29 time: 0.4266 data_time: 0.0188 memory: 17087 grad_norm: 4.9079 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5993 loss: 1.5993 2022/08/03 14:13:56 - mmengine - INFO - Epoch(train) [23][660/1879] lr: 1.0000e-02 eta: 2 days, 4:15:21 time: 0.4304 data_time: 0.0127 memory: 17087 grad_norm: 4.6840 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6236 loss: 1.6236 2022/08/03 14:13:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:14:04 - mmengine - INFO - Epoch(train) [23][680/1879] lr: 1.0000e-02 eta: 2 days, 4:15:12 time: 0.4257 data_time: 0.0171 memory: 17087 grad_norm: 4.7354 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8592 loss: 1.8592 2022/08/03 14:14:13 - mmengine - INFO - Epoch(train) [23][700/1879] lr: 1.0000e-02 eta: 2 days, 4:15:05 time: 0.4373 data_time: 0.0142 memory: 17087 grad_norm: 4.9031 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6590 loss: 1.6590 2022/08/03 14:14:22 - mmengine - INFO - Epoch(train) [23][720/1879] lr: 1.0000e-02 eta: 2 days, 4:14:55 time: 0.4244 data_time: 0.0158 memory: 17087 grad_norm: 4.7741 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9247 loss: 1.9247 2022/08/03 14:14:30 - mmengine - INFO - Epoch(train) [23][740/1879] lr: 1.0000e-02 eta: 2 days, 4:14:47 time: 0.4298 data_time: 0.0140 memory: 17087 grad_norm: 4.7117 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7173 loss: 1.7173 2022/08/03 14:14:39 - mmengine - INFO - Epoch(train) [23][760/1879] lr: 1.0000e-02 eta: 2 days, 4:14:38 time: 0.4246 data_time: 0.0159 memory: 17087 grad_norm: 4.8420 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0545 loss: 2.0545 2022/08/03 14:14:48 - mmengine - INFO - Epoch(train) [23][780/1879] lr: 1.0000e-02 eta: 2 days, 4:14:35 time: 0.4578 data_time: 0.0127 memory: 17087 grad_norm: 4.7036 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0964 loss: 2.0964 2022/08/03 14:14:56 - mmengine - INFO - Epoch(train) [23][800/1879] lr: 1.0000e-02 eta: 2 days, 4:14:26 time: 0.4268 data_time: 0.0163 memory: 17087 grad_norm: 4.7322 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7926 loss: 1.7926 2022/08/03 14:15:05 - mmengine - INFO - Epoch(train) [23][820/1879] lr: 1.0000e-02 eta: 2 days, 4:14:17 time: 0.4241 data_time: 0.0129 memory: 17087 grad_norm: 4.8076 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6783 loss: 1.6783 2022/08/03 14:15:13 - mmengine - INFO - Epoch(train) [23][840/1879] lr: 1.0000e-02 eta: 2 days, 4:14:08 time: 0.4255 data_time: 0.0165 memory: 17087 grad_norm: 4.8004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6295 loss: 1.6295 2022/08/03 14:15:22 - mmengine - INFO - Epoch(train) [23][860/1879] lr: 1.0000e-02 eta: 2 days, 4:13:58 time: 0.4238 data_time: 0.0141 memory: 17087 grad_norm: 4.7730 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7846 loss: 1.7846 2022/08/03 14:15:30 - mmengine - INFO - Epoch(train) [23][880/1879] lr: 1.0000e-02 eta: 2 days, 4:13:49 time: 0.4235 data_time: 0.0164 memory: 17087 grad_norm: 4.7830 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8687 loss: 1.8687 2022/08/03 14:15:39 - mmengine - INFO - Epoch(train) [23][900/1879] lr: 1.0000e-02 eta: 2 days, 4:13:39 time: 0.4232 data_time: 0.0162 memory: 17087 grad_norm: 4.8769 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6688 loss: 1.6688 2022/08/03 14:15:48 - mmengine - INFO - Epoch(train) [23][920/1879] lr: 1.0000e-02 eta: 2 days, 4:13:36 time: 0.4536 data_time: 0.0169 memory: 17087 grad_norm: 4.9506 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8463 loss: 1.8463 2022/08/03 14:15:56 - mmengine - INFO - Epoch(train) [23][940/1879] lr: 1.0000e-02 eta: 2 days, 4:13:26 time: 0.4226 data_time: 0.0131 memory: 17087 grad_norm: 4.8266 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9866 loss: 1.9866 2022/08/03 14:16:05 - mmengine - INFO - Epoch(train) [23][960/1879] lr: 1.0000e-02 eta: 2 days, 4:13:20 time: 0.4406 data_time: 0.0169 memory: 17087 grad_norm: 4.6521 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8284 loss: 1.8284 2022/08/03 14:16:14 - mmengine - INFO - Epoch(train) [23][980/1879] lr: 1.0000e-02 eta: 2 days, 4:13:10 time: 0.4218 data_time: 0.0152 memory: 17087 grad_norm: 4.7724 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9740 loss: 1.9740 2022/08/03 14:16:22 - mmengine - INFO - Epoch(train) [23][1000/1879] lr: 1.0000e-02 eta: 2 days, 4:13:00 time: 0.4252 data_time: 0.0164 memory: 17087 grad_norm: 4.8221 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9307 loss: 1.9307 2022/08/03 14:16:31 - mmengine - INFO - Epoch(train) [23][1020/1879] lr: 1.0000e-02 eta: 2 days, 4:12:56 time: 0.4501 data_time: 0.0139 memory: 17087 grad_norm: 4.7484 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8503 loss: 1.8503 2022/08/03 14:16:40 - mmengine - INFO - Epoch(train) [23][1040/1879] lr: 1.0000e-02 eta: 2 days, 4:12:48 time: 0.4310 data_time: 0.0240 memory: 17087 grad_norm: 4.7562 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6651 loss: 1.6651 2022/08/03 14:16:49 - mmengine - INFO - Epoch(train) [23][1060/1879] lr: 1.0000e-02 eta: 2 days, 4:12:45 time: 0.4533 data_time: 0.0152 memory: 17087 grad_norm: 4.9510 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9052 loss: 1.9052 2022/08/03 14:16:58 - mmengine - INFO - Epoch(train) [23][1080/1879] lr: 1.0000e-02 eta: 2 days, 4:12:37 time: 0.4303 data_time: 0.0214 memory: 17087 grad_norm: 4.8339 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7670 loss: 1.7670 2022/08/03 14:17:06 - mmengine - INFO - Epoch(train) [23][1100/1879] lr: 1.0000e-02 eta: 2 days, 4:12:28 time: 0.4261 data_time: 0.0140 memory: 17087 grad_norm: 4.6793 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8106 loss: 1.8106 2022/08/03 14:17:15 - mmengine - INFO - Epoch(train) [23][1120/1879] lr: 1.0000e-02 eta: 2 days, 4:12:19 time: 0.4262 data_time: 0.0157 memory: 17087 grad_norm: 4.7621 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8264 loss: 1.8264 2022/08/03 14:17:23 - mmengine - INFO - Epoch(train) [23][1140/1879] lr: 1.0000e-02 eta: 2 days, 4:12:09 time: 0.4257 data_time: 0.0141 memory: 17087 grad_norm: 4.9910 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9221 loss: 1.9221 2022/08/03 14:17:32 - mmengine - INFO - Epoch(train) [23][1160/1879] lr: 1.0000e-02 eta: 2 days, 4:12:00 time: 0.4236 data_time: 0.0158 memory: 17087 grad_norm: 4.8734 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 2.0408 loss: 2.0408 2022/08/03 14:17:40 - mmengine - INFO - Epoch(train) [23][1180/1879] lr: 1.0000e-02 eta: 2 days, 4:11:50 time: 0.4233 data_time: 0.0136 memory: 17087 grad_norm: 4.7978 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.8503 loss: 1.8503 2022/08/03 14:17:49 - mmengine - INFO - Epoch(train) [23][1200/1879] lr: 1.0000e-02 eta: 2 days, 4:11:42 time: 0.4291 data_time: 0.0165 memory: 17087 grad_norm: 4.8353 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9236 loss: 1.9236 2022/08/03 14:17:57 - mmengine - INFO - Epoch(train) [23][1220/1879] lr: 1.0000e-02 eta: 2 days, 4:11:32 time: 0.4225 data_time: 0.0130 memory: 17087 grad_norm: 4.7337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6691 loss: 1.6691 2022/08/03 14:18:06 - mmengine - INFO - Epoch(train) [23][1240/1879] lr: 1.0000e-02 eta: 2 days, 4:11:23 time: 0.4279 data_time: 0.0178 memory: 17087 grad_norm: 4.7263 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7447 loss: 1.7447 2022/08/03 14:18:14 - mmengine - INFO - Epoch(train) [23][1260/1879] lr: 1.0000e-02 eta: 2 days, 4:11:14 time: 0.4234 data_time: 0.0138 memory: 17087 grad_norm: 4.7538 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7857 loss: 1.7857 2022/08/03 14:18:23 - mmengine - INFO - Epoch(train) [23][1280/1879] lr: 1.0000e-02 eta: 2 days, 4:11:05 time: 0.4301 data_time: 0.0158 memory: 17087 grad_norm: 4.8645 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8615 loss: 1.8615 2022/08/03 14:18:32 - mmengine - INFO - Epoch(train) [23][1300/1879] lr: 1.0000e-02 eta: 2 days, 4:11:00 time: 0.4435 data_time: 0.0134 memory: 17087 grad_norm: 4.7083 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7239 loss: 1.7239 2022/08/03 14:18:40 - mmengine - INFO - Epoch(train) [23][1320/1879] lr: 1.0000e-02 eta: 2 days, 4:10:51 time: 0.4265 data_time: 0.0157 memory: 17087 grad_norm: 4.8042 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6821 loss: 1.6821 2022/08/03 14:18:49 - mmengine - INFO - Epoch(train) [23][1340/1879] lr: 1.0000e-02 eta: 2 days, 4:10:46 time: 0.4487 data_time: 0.0144 memory: 17087 grad_norm: 4.7650 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8651 loss: 1.8651 2022/08/03 14:18:58 - mmengine - INFO - Epoch(train) [23][1360/1879] lr: 1.0000e-02 eta: 2 days, 4:10:37 time: 0.4261 data_time: 0.0161 memory: 17087 grad_norm: 4.8548 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8417 loss: 1.8417 2022/08/03 14:19:06 - mmengine - INFO - Epoch(train) [23][1380/1879] lr: 1.0000e-02 eta: 2 days, 4:10:29 time: 0.4305 data_time: 0.0138 memory: 17087 grad_norm: 4.9908 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8644 loss: 1.8644 2022/08/03 14:19:15 - mmengine - INFO - Epoch(train) [23][1400/1879] lr: 1.0000e-02 eta: 2 days, 4:10:20 time: 0.4240 data_time: 0.0153 memory: 17087 grad_norm: 4.7887 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8096 loss: 1.8096 2022/08/03 14:19:24 - mmengine - INFO - Epoch(train) [23][1420/1879] lr: 1.0000e-02 eta: 2 days, 4:10:16 time: 0.4536 data_time: 0.0144 memory: 17087 grad_norm: 4.8301 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8448 loss: 1.8448 2022/08/03 14:19:32 - mmengine - INFO - Epoch(train) [23][1440/1879] lr: 1.0000e-02 eta: 2 days, 4:10:07 time: 0.4242 data_time: 0.0154 memory: 17087 grad_norm: 4.6957 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7939 loss: 1.7939 2022/08/03 14:19:41 - mmengine - INFO - Epoch(train) [23][1460/1879] lr: 1.0000e-02 eta: 2 days, 4:09:57 time: 0.4231 data_time: 0.0137 memory: 17087 grad_norm: 4.7510 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9777 loss: 1.9777 2022/08/03 14:19:49 - mmengine - INFO - Epoch(train) [23][1480/1879] lr: 1.0000e-02 eta: 2 days, 4:09:50 time: 0.4347 data_time: 0.0176 memory: 17087 grad_norm: 4.6491 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8941 loss: 1.8941 2022/08/03 14:19:58 - mmengine - INFO - Epoch(train) [23][1500/1879] lr: 1.0000e-02 eta: 2 days, 4:09:40 time: 0.4223 data_time: 0.0123 memory: 17087 grad_norm: 4.9864 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7013 loss: 1.7013 2022/08/03 14:20:07 - mmengine - INFO - Epoch(train) [23][1520/1879] lr: 1.0000e-02 eta: 2 days, 4:09:38 time: 0.4618 data_time: 0.0153 memory: 17087 grad_norm: 4.9052 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8847 loss: 1.8847 2022/08/03 14:20:16 - mmengine - INFO - Epoch(train) [23][1540/1879] lr: 1.0000e-02 eta: 2 days, 4:09:29 time: 0.4240 data_time: 0.0140 memory: 17087 grad_norm: 4.8404 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 2.0661 loss: 2.0661 2022/08/03 14:20:25 - mmengine - INFO - Epoch(train) [23][1560/1879] lr: 1.0000e-02 eta: 2 days, 4:09:23 time: 0.4453 data_time: 0.0160 memory: 17087 grad_norm: 4.7817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8634 loss: 1.8634 2022/08/03 14:20:33 - mmengine - INFO - Epoch(train) [23][1580/1879] lr: 1.0000e-02 eta: 2 days, 4:09:14 time: 0.4225 data_time: 0.0126 memory: 17087 grad_norm: 4.8404 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8274 loss: 1.8274 2022/08/03 14:20:42 - mmengine - INFO - Epoch(train) [23][1600/1879] lr: 1.0000e-02 eta: 2 days, 4:09:05 time: 0.4283 data_time: 0.0201 memory: 17087 grad_norm: 4.8058 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8994 loss: 1.8994 2022/08/03 14:20:51 - mmengine - INFO - Epoch(train) [23][1620/1879] lr: 1.0000e-02 eta: 2 days, 4:09:01 time: 0.4513 data_time: 0.0130 memory: 17087 grad_norm: 4.6446 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8792 loss: 1.8792 2022/08/03 14:20:59 - mmengine - INFO - Epoch(train) [23][1640/1879] lr: 1.0000e-02 eta: 2 days, 4:08:53 time: 0.4309 data_time: 0.0221 memory: 17087 grad_norm: 4.7810 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1144 loss: 2.1144 2022/08/03 14:21:08 - mmengine - INFO - Epoch(train) [23][1660/1879] lr: 1.0000e-02 eta: 2 days, 4:08:44 time: 0.4283 data_time: 0.0139 memory: 17087 grad_norm: 4.6655 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9612 loss: 1.9612 2022/08/03 14:21:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:21:16 - mmengine - INFO - Epoch(train) [23][1680/1879] lr: 1.0000e-02 eta: 2 days, 4:08:36 time: 0.4296 data_time: 0.0205 memory: 17087 grad_norm: 4.7977 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6560 loss: 1.6560 2022/08/03 14:21:25 - mmengine - INFO - Epoch(train) [23][1700/1879] lr: 1.0000e-02 eta: 2 days, 4:08:31 time: 0.4476 data_time: 0.0166 memory: 17087 grad_norm: 4.8706 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8751 loss: 1.8751 2022/08/03 14:21:34 - mmengine - INFO - Epoch(train) [23][1720/1879] lr: 1.0000e-02 eta: 2 days, 4:08:23 time: 0.4286 data_time: 0.0203 memory: 17087 grad_norm: 4.7065 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.8941 loss: 1.8941 2022/08/03 14:21:42 - mmengine - INFO - Epoch(train) [23][1740/1879] lr: 1.0000e-02 eta: 2 days, 4:08:13 time: 0.4224 data_time: 0.0129 memory: 17087 grad_norm: 4.7429 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8313 loss: 1.8313 2022/08/03 14:21:51 - mmengine - INFO - Epoch(train) [23][1760/1879] lr: 1.0000e-02 eta: 2 days, 4:08:05 time: 0.4319 data_time: 0.0190 memory: 17087 grad_norm: 4.7552 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7196 loss: 1.7196 2022/08/03 14:21:59 - mmengine - INFO - Epoch(train) [23][1780/1879] lr: 1.0000e-02 eta: 2 days, 4:07:56 time: 0.4247 data_time: 0.0158 memory: 17087 grad_norm: 4.5577 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6757 loss: 1.6757 2022/08/03 14:22:08 - mmengine - INFO - Epoch(train) [23][1800/1879] lr: 1.0000e-02 eta: 2 days, 4:07:47 time: 0.4256 data_time: 0.0168 memory: 17087 grad_norm: 4.8362 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9181 loss: 1.9181 2022/08/03 14:22:17 - mmengine - INFO - Epoch(train) [23][1820/1879] lr: 1.0000e-02 eta: 2 days, 4:07:39 time: 0.4351 data_time: 0.0253 memory: 17087 grad_norm: 4.6962 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.9930 loss: 1.9930 2022/08/03 14:22:25 - mmengine - INFO - Epoch(train) [23][1840/1879] lr: 1.0000e-02 eta: 2 days, 4:07:30 time: 0.4253 data_time: 0.0160 memory: 17087 grad_norm: 4.6673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7884 loss: 1.7884 2022/08/03 14:22:34 - mmengine - INFO - Epoch(train) [23][1860/1879] lr: 1.0000e-02 eta: 2 days, 4:07:24 time: 0.4409 data_time: 0.0146 memory: 17087 grad_norm: 4.8210 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8769 loss: 1.8769 2022/08/03 14:22:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:22:42 - mmengine - INFO - Epoch(train) [23][1879/1879] lr: 1.0000e-02 eta: 2 days, 4:07:24 time: 0.4070 data_time: 0.0149 memory: 17087 grad_norm: 4.8613 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.6375 loss: 1.6375 2022/08/03 14:22:53 - mmengine - INFO - Epoch(train) [24][20/1879] lr: 1.0000e-02 eta: 2 days, 4:06:12 time: 0.5613 data_time: 0.1105 memory: 17087 grad_norm: 4.6601 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7401 loss: 1.7401 2022/08/03 14:23:02 - mmengine - INFO - Epoch(train) [24][40/1879] lr: 1.0000e-02 eta: 2 days, 4:06:04 time: 0.4326 data_time: 0.0177 memory: 17087 grad_norm: 4.7770 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7872 loss: 1.7872 2022/08/03 14:23:10 - mmengine - INFO - Epoch(train) [24][60/1879] lr: 1.0000e-02 eta: 2 days, 4:05:54 time: 0.4237 data_time: 0.0134 memory: 17087 grad_norm: 4.8000 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8303 loss: 1.8303 2022/08/03 14:23:19 - mmengine - INFO - Epoch(train) [24][80/1879] lr: 1.0000e-02 eta: 2 days, 4:05:47 time: 0.4347 data_time: 0.0172 memory: 17087 grad_norm: 4.7094 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8498 loss: 1.8498 2022/08/03 14:23:27 - mmengine - INFO - Epoch(train) [24][100/1879] lr: 1.0000e-02 eta: 2 days, 4:05:37 time: 0.4219 data_time: 0.0136 memory: 17087 grad_norm: 4.8585 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8539 loss: 1.8539 2022/08/03 14:23:36 - mmengine - INFO - Epoch(train) [24][120/1879] lr: 1.0000e-02 eta: 2 days, 4:05:31 time: 0.4403 data_time: 0.0174 memory: 17087 grad_norm: 4.6592 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8163 loss: 1.8163 2022/08/03 14:23:44 - mmengine - INFO - Epoch(train) [24][140/1879] lr: 1.0000e-02 eta: 2 days, 4:05:21 time: 0.4228 data_time: 0.0140 memory: 17087 grad_norm: 4.7248 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8230 loss: 1.8230 2022/08/03 14:23:53 - mmengine - INFO - Epoch(train) [24][160/1879] lr: 1.0000e-02 eta: 2 days, 4:05:12 time: 0.4250 data_time: 0.0165 memory: 17087 grad_norm: 4.7431 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 2.0108 loss: 2.0108 2022/08/03 14:24:02 - mmengine - INFO - Epoch(train) [24][180/1879] lr: 1.0000e-02 eta: 2 days, 4:05:04 time: 0.4300 data_time: 0.0135 memory: 17087 grad_norm: 4.6749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9116 loss: 1.9116 2022/08/03 14:24:10 - mmengine - INFO - Epoch(train) [24][200/1879] lr: 1.0000e-02 eta: 2 days, 4:04:55 time: 0.4285 data_time: 0.0204 memory: 17087 grad_norm: 4.6214 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9473 loss: 1.9473 2022/08/03 14:24:19 - mmengine - INFO - Epoch(train) [24][220/1879] lr: 1.0000e-02 eta: 2 days, 4:04:52 time: 0.4546 data_time: 0.0145 memory: 17087 grad_norm: 4.7591 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9299 loss: 1.9299 2022/08/03 14:24:28 - mmengine - INFO - Epoch(train) [24][240/1879] lr: 1.0000e-02 eta: 2 days, 4:04:43 time: 0.4269 data_time: 0.0164 memory: 17087 grad_norm: 4.6864 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7555 loss: 1.7555 2022/08/03 14:24:36 - mmengine - INFO - Epoch(train) [24][260/1879] lr: 1.0000e-02 eta: 2 days, 4:04:33 time: 0.4230 data_time: 0.0129 memory: 17087 grad_norm: 4.8180 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9784 loss: 1.9784 2022/08/03 14:24:45 - mmengine - INFO - Epoch(train) [24][280/1879] lr: 1.0000e-02 eta: 2 days, 4:04:25 time: 0.4311 data_time: 0.0183 memory: 17087 grad_norm: 4.7871 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8120 loss: 1.8120 2022/08/03 14:24:53 - mmengine - INFO - Epoch(train) [24][300/1879] lr: 1.0000e-02 eta: 2 days, 4:04:16 time: 0.4244 data_time: 0.0120 memory: 17087 grad_norm: 4.8627 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8212 loss: 1.8212 2022/08/03 14:25:02 - mmengine - INFO - Epoch(train) [24][320/1879] lr: 1.0000e-02 eta: 2 days, 4:04:07 time: 0.4246 data_time: 0.0148 memory: 17087 grad_norm: 4.6942 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7436 loss: 1.7436 2022/08/03 14:25:11 - mmengine - INFO - Epoch(train) [24][340/1879] lr: 1.0000e-02 eta: 2 days, 4:03:58 time: 0.4305 data_time: 0.0144 memory: 17087 grad_norm: 4.6982 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5959 loss: 1.5959 2022/08/03 14:25:19 - mmengine - INFO - Epoch(train) [24][360/1879] lr: 1.0000e-02 eta: 2 days, 4:03:52 time: 0.4398 data_time: 0.0163 memory: 17087 grad_norm: 4.7311 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9368 loss: 1.9368 2022/08/03 14:25:28 - mmengine - INFO - Epoch(train) [24][380/1879] lr: 1.0000e-02 eta: 2 days, 4:03:45 time: 0.4331 data_time: 0.0156 memory: 17087 grad_norm: 4.6448 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8134 loss: 1.8134 2022/08/03 14:25:37 - mmengine - INFO - Epoch(train) [24][400/1879] lr: 1.0000e-02 eta: 2 days, 4:03:36 time: 0.4303 data_time: 0.0175 memory: 17087 grad_norm: 4.7941 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8157 loss: 1.8157 2022/08/03 14:25:45 - mmengine - INFO - Epoch(train) [24][420/1879] lr: 1.0000e-02 eta: 2 days, 4:03:28 time: 0.4282 data_time: 0.0195 memory: 17087 grad_norm: 4.8392 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8392 loss: 1.8392 2022/08/03 14:25:54 - mmengine - INFO - Epoch(train) [24][440/1879] lr: 1.0000e-02 eta: 2 days, 4:03:19 time: 0.4295 data_time: 0.0159 memory: 17087 grad_norm: 4.8788 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8905 loss: 1.8905 2022/08/03 14:26:02 - mmengine - INFO - Epoch(train) [24][460/1879] lr: 1.0000e-02 eta: 2 days, 4:03:10 time: 0.4242 data_time: 0.0151 memory: 17087 grad_norm: 4.7214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8761 loss: 1.8761 2022/08/03 14:26:11 - mmengine - INFO - Epoch(train) [24][480/1879] lr: 1.0000e-02 eta: 2 days, 4:03:04 time: 0.4417 data_time: 0.0172 memory: 17087 grad_norm: 4.7708 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8152 loss: 1.8152 2022/08/03 14:26:20 - mmengine - INFO - Epoch(train) [24][500/1879] lr: 1.0000e-02 eta: 2 days, 4:02:55 time: 0.4268 data_time: 0.0177 memory: 17087 grad_norm: 4.7018 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8831 loss: 1.8831 2022/08/03 14:26:28 - mmengine - INFO - Epoch(train) [24][520/1879] lr: 1.0000e-02 eta: 2 days, 4:02:46 time: 0.4279 data_time: 0.0170 memory: 17087 grad_norm: 4.7676 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7369 loss: 1.7369 2022/08/03 14:26:37 - mmengine - INFO - Epoch(train) [24][540/1879] lr: 1.0000e-02 eta: 2 days, 4:02:38 time: 0.4275 data_time: 0.0145 memory: 17087 grad_norm: 4.7746 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8065 loss: 1.8065 2022/08/03 14:26:45 - mmengine - INFO - Epoch(train) [24][560/1879] lr: 1.0000e-02 eta: 2 days, 4:02:29 time: 0.4301 data_time: 0.0198 memory: 17087 grad_norm: 4.7375 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8318 loss: 1.8318 2022/08/03 14:26:54 - mmengine - INFO - Epoch(train) [24][580/1879] lr: 1.0000e-02 eta: 2 days, 4:02:25 time: 0.4512 data_time: 0.0138 memory: 17087 grad_norm: 4.7447 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5457 loss: 1.5457 2022/08/03 14:27:03 - mmengine - INFO - Epoch(train) [24][600/1879] lr: 1.0000e-02 eta: 2 days, 4:02:16 time: 0.4244 data_time: 0.0157 memory: 17087 grad_norm: 4.9118 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7582 loss: 1.7582 2022/08/03 14:27:11 - mmengine - INFO - Epoch(train) [24][620/1879] lr: 1.0000e-02 eta: 2 days, 4:02:08 time: 0.4299 data_time: 0.0143 memory: 17087 grad_norm: 4.7758 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9333 loss: 1.9333 2022/08/03 14:27:20 - mmengine - INFO - Epoch(train) [24][640/1879] lr: 1.0000e-02 eta: 2 days, 4:01:58 time: 0.4254 data_time: 0.0152 memory: 17087 grad_norm: 4.7218 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7085 loss: 1.7085 2022/08/03 14:27:28 - mmengine - INFO - Epoch(train) [24][660/1879] lr: 1.0000e-02 eta: 2 days, 4:01:49 time: 0.4248 data_time: 0.0153 memory: 17087 grad_norm: 4.8382 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7185 loss: 1.7185 2022/08/03 14:27:37 - mmengine - INFO - Epoch(train) [24][680/1879] lr: 1.0000e-02 eta: 2 days, 4:01:40 time: 0.4261 data_time: 0.0162 memory: 17087 grad_norm: 4.8386 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8009 loss: 1.8009 2022/08/03 14:27:46 - mmengine - INFO - Epoch(train) [24][700/1879] lr: 1.0000e-02 eta: 2 days, 4:01:32 time: 0.4290 data_time: 0.0151 memory: 17087 grad_norm: 4.7526 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7794 loss: 1.7794 2022/08/03 14:27:54 - mmengine - INFO - Epoch(train) [24][720/1879] lr: 1.0000e-02 eta: 2 days, 4:01:23 time: 0.4275 data_time: 0.0157 memory: 17087 grad_norm: 4.9930 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8259 loss: 1.8259 2022/08/03 14:28:03 - mmengine - INFO - Epoch(train) [24][740/1879] lr: 1.0000e-02 eta: 2 days, 4:01:13 time: 0.4217 data_time: 0.0134 memory: 17087 grad_norm: 4.9749 top1_acc: 0.2500 top5_acc: 0.8125 loss_cls: 1.9614 loss: 1.9614 2022/08/03 14:28:11 - mmengine - INFO - Epoch(train) [24][760/1879] lr: 1.0000e-02 eta: 2 days, 4:01:04 time: 0.4255 data_time: 0.0164 memory: 17087 grad_norm: 4.9339 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9405 loss: 1.9405 2022/08/03 14:28:20 - mmengine - INFO - Epoch(train) [24][780/1879] lr: 1.0000e-02 eta: 2 days, 4:00:55 time: 0.4250 data_time: 0.0146 memory: 17087 grad_norm: 4.7628 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9913 loss: 1.9913 2022/08/03 14:28:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:28:28 - mmengine - INFO - Epoch(train) [24][800/1879] lr: 1.0000e-02 eta: 2 days, 4:00:46 time: 0.4261 data_time: 0.0154 memory: 17087 grad_norm: 4.6460 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7184 loss: 1.7184 2022/08/03 14:28:37 - mmengine - INFO - Epoch(train) [24][820/1879] lr: 1.0000e-02 eta: 2 days, 4:00:39 time: 0.4394 data_time: 0.0144 memory: 17087 grad_norm: 4.6269 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8247 loss: 1.8247 2022/08/03 14:28:46 - mmengine - INFO - Epoch(train) [24][840/1879] lr: 1.0000e-02 eta: 2 days, 4:00:31 time: 0.4310 data_time: 0.0200 memory: 17087 grad_norm: 4.6761 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6513 loss: 1.6513 2022/08/03 14:28:55 - mmengine - INFO - Epoch(train) [24][860/1879] lr: 1.0000e-02 eta: 2 days, 4:00:27 time: 0.4537 data_time: 0.0145 memory: 17087 grad_norm: 4.6555 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8254 loss: 1.8254 2022/08/03 14:29:03 - mmengine - INFO - Epoch(train) [24][880/1879] lr: 1.0000e-02 eta: 2 days, 4:00:18 time: 0.4239 data_time: 0.0156 memory: 17087 grad_norm: 4.8062 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9044 loss: 1.9044 2022/08/03 14:29:12 - mmengine - INFO - Epoch(train) [24][900/1879] lr: 1.0000e-02 eta: 2 days, 4:00:10 time: 0.4294 data_time: 0.0178 memory: 17087 grad_norm: 4.8422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8396 loss: 1.8396 2022/08/03 14:29:20 - mmengine - INFO - Epoch(train) [24][920/1879] lr: 1.0000e-02 eta: 2 days, 4:00:03 time: 0.4405 data_time: 0.0168 memory: 17087 grad_norm: 4.8027 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7775 loss: 1.7775 2022/08/03 14:29:29 - mmengine - INFO - Epoch(train) [24][940/1879] lr: 1.0000e-02 eta: 2 days, 3:59:55 time: 0.4290 data_time: 0.0131 memory: 17087 grad_norm: 4.6634 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6224 loss: 1.6224 2022/08/03 14:29:38 - mmengine - INFO - Epoch(train) [24][960/1879] lr: 1.0000e-02 eta: 2 days, 3:59:46 time: 0.4278 data_time: 0.0171 memory: 17087 grad_norm: 4.7000 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7304 loss: 1.7304 2022/08/03 14:29:46 - mmengine - INFO - Epoch(train) [24][980/1879] lr: 1.0000e-02 eta: 2 days, 3:59:37 time: 0.4256 data_time: 0.0143 memory: 17087 grad_norm: 4.7790 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9514 loss: 1.9514 2022/08/03 14:29:55 - mmengine - INFO - Epoch(train) [24][1000/1879] lr: 1.0000e-02 eta: 2 days, 3:59:28 time: 0.4276 data_time: 0.0164 memory: 17087 grad_norm: 4.7512 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9892 loss: 1.9892 2022/08/03 14:30:03 - mmengine - INFO - Epoch(train) [24][1020/1879] lr: 1.0000e-02 eta: 2 days, 3:59:19 time: 0.4236 data_time: 0.0146 memory: 17087 grad_norm: 4.7224 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8002 loss: 1.8002 2022/08/03 14:30:12 - mmengine - INFO - Epoch(train) [24][1040/1879] lr: 1.0000e-02 eta: 2 days, 3:59:10 time: 0.4268 data_time: 0.0171 memory: 17087 grad_norm: 4.7453 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7942 loss: 1.7942 2022/08/03 14:30:20 - mmengine - INFO - Epoch(train) [24][1060/1879] lr: 1.0000e-02 eta: 2 days, 3:59:01 time: 0.4242 data_time: 0.0154 memory: 17087 grad_norm: 4.8669 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8158 loss: 1.8158 2022/08/03 14:30:29 - mmengine - INFO - Epoch(train) [24][1080/1879] lr: 1.0000e-02 eta: 2 days, 3:58:52 time: 0.4289 data_time: 0.0196 memory: 17087 grad_norm: 4.6680 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9215 loss: 1.9215 2022/08/03 14:30:37 - mmengine - INFO - Epoch(train) [24][1100/1879] lr: 1.0000e-02 eta: 2 days, 3:58:43 time: 0.4252 data_time: 0.0142 memory: 17087 grad_norm: 4.8369 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6959 loss: 1.6959 2022/08/03 14:30:46 - mmengine - INFO - Epoch(train) [24][1120/1879] lr: 1.0000e-02 eta: 2 days, 3:58:34 time: 0.4292 data_time: 0.0203 memory: 17087 grad_norm: 4.7589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7012 loss: 1.7012 2022/08/03 14:30:54 - mmengine - INFO - Epoch(train) [24][1140/1879] lr: 1.0000e-02 eta: 2 days, 3:58:25 time: 0.4241 data_time: 0.0149 memory: 17087 grad_norm: 4.8428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9640 loss: 1.9640 2022/08/03 14:31:03 - mmengine - INFO - Epoch(train) [24][1160/1879] lr: 1.0000e-02 eta: 2 days, 3:58:15 time: 0.4238 data_time: 0.0149 memory: 17087 grad_norm: 4.7950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0257 loss: 2.0257 2022/08/03 14:31:11 - mmengine - INFO - Epoch(train) [24][1180/1879] lr: 1.0000e-02 eta: 2 days, 3:58:06 time: 0.4238 data_time: 0.0148 memory: 17087 grad_norm: 4.7974 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9629 loss: 1.9629 2022/08/03 14:31:20 - mmengine - INFO - Epoch(train) [24][1200/1879] lr: 1.0000e-02 eta: 2 days, 3:57:57 time: 0.4246 data_time: 0.0163 memory: 17087 grad_norm: 4.7818 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 2.0301 loss: 2.0301 2022/08/03 14:31:28 - mmengine - INFO - Epoch(train) [24][1220/1879] lr: 1.0000e-02 eta: 2 days, 3:57:48 time: 0.4264 data_time: 0.0146 memory: 17087 grad_norm: 4.7583 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8518 loss: 1.8518 2022/08/03 14:31:37 - mmengine - INFO - Epoch(train) [24][1240/1879] lr: 1.0000e-02 eta: 2 days, 3:57:44 time: 0.4529 data_time: 0.0181 memory: 17087 grad_norm: 4.6931 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6564 loss: 1.6564 2022/08/03 14:31:46 - mmengine - INFO - Epoch(train) [24][1260/1879] lr: 1.0000e-02 eta: 2 days, 3:57:35 time: 0.4277 data_time: 0.0182 memory: 17087 grad_norm: 4.8501 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7730 loss: 1.7730 2022/08/03 14:31:54 - mmengine - INFO - Epoch(train) [24][1280/1879] lr: 1.0000e-02 eta: 2 days, 3:57:26 time: 0.4244 data_time: 0.0165 memory: 17087 grad_norm: 4.7314 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8710 loss: 1.8710 2022/08/03 14:32:03 - mmengine - INFO - Epoch(train) [24][1300/1879] lr: 1.0000e-02 eta: 2 days, 3:57:16 time: 0.4213 data_time: 0.0142 memory: 17087 grad_norm: 4.7799 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8459 loss: 1.8459 2022/08/03 14:32:11 - mmengine - INFO - Epoch(train) [24][1320/1879] lr: 1.0000e-02 eta: 2 days, 3:57:06 time: 0.4243 data_time: 0.0172 memory: 17087 grad_norm: 4.7197 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6073 loss: 1.6073 2022/08/03 14:32:20 - mmengine - INFO - Epoch(train) [24][1340/1879] lr: 1.0000e-02 eta: 2 days, 3:57:02 time: 0.4517 data_time: 0.0146 memory: 17087 grad_norm: 4.8244 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7753 loss: 1.7753 2022/08/03 14:32:29 - mmengine - INFO - Epoch(train) [24][1360/1879] lr: 1.0000e-02 eta: 2 days, 3:56:54 time: 0.4297 data_time: 0.0214 memory: 17087 grad_norm: 4.6885 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9517 loss: 1.9517 2022/08/03 14:32:38 - mmengine - INFO - Epoch(train) [24][1380/1879] lr: 1.0000e-02 eta: 2 days, 3:56:46 time: 0.4284 data_time: 0.0148 memory: 17087 grad_norm: 4.8518 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8419 loss: 1.8419 2022/08/03 14:32:46 - mmengine - INFO - Epoch(train) [24][1400/1879] lr: 1.0000e-02 eta: 2 days, 3:56:37 time: 0.4289 data_time: 0.0168 memory: 17087 grad_norm: 4.8063 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7968 loss: 1.7968 2022/08/03 14:32:55 - mmengine - INFO - Epoch(train) [24][1420/1879] lr: 1.0000e-02 eta: 2 days, 3:56:30 time: 0.4371 data_time: 0.0142 memory: 17087 grad_norm: 4.6903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6669 loss: 1.6669 2022/08/03 14:33:03 - mmengine - INFO - Epoch(train) [24][1440/1879] lr: 1.0000e-02 eta: 2 days, 3:56:21 time: 0.4237 data_time: 0.0152 memory: 17087 grad_norm: 4.7639 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9023 loss: 1.9023 2022/08/03 14:33:12 - mmengine - INFO - Epoch(train) [24][1460/1879] lr: 1.0000e-02 eta: 2 days, 3:56:12 time: 0.4290 data_time: 0.0186 memory: 17087 grad_norm: 4.8212 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5998 loss: 1.5998 2022/08/03 14:33:20 - mmengine - INFO - Epoch(train) [24][1480/1879] lr: 1.0000e-02 eta: 2 days, 3:56:03 time: 0.4260 data_time: 0.0158 memory: 17087 grad_norm: 4.6260 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6264 loss: 1.6264 2022/08/03 14:33:29 - mmengine - INFO - Epoch(train) [24][1500/1879] lr: 1.0000e-02 eta: 2 days, 3:55:54 time: 0.4270 data_time: 0.0139 memory: 17087 grad_norm: 4.6515 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6621 loss: 1.6621 2022/08/03 14:33:38 - mmengine - INFO - Epoch(train) [24][1520/1879] lr: 1.0000e-02 eta: 2 days, 3:55:45 time: 0.4258 data_time: 0.0172 memory: 17087 grad_norm: 4.7542 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8849 loss: 1.8849 2022/08/03 14:33:46 - mmengine - INFO - Epoch(train) [24][1540/1879] lr: 1.0000e-02 eta: 2 days, 3:55:36 time: 0.4244 data_time: 0.0147 memory: 17087 grad_norm: 4.6226 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9248 loss: 1.9248 2022/08/03 14:33:55 - mmengine - INFO - Epoch(train) [24][1560/1879] lr: 1.0000e-02 eta: 2 days, 3:55:31 time: 0.4463 data_time: 0.0167 memory: 17087 grad_norm: 4.7624 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8836 loss: 1.8836 2022/08/03 14:34:03 - mmengine - INFO - Epoch(train) [24][1580/1879] lr: 1.0000e-02 eta: 2 days, 3:55:21 time: 0.4205 data_time: 0.0135 memory: 17087 grad_norm: 4.7155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6344 loss: 1.6344 2022/08/03 14:34:12 - mmengine - INFO - Epoch(train) [24][1600/1879] lr: 1.0000e-02 eta: 2 days, 3:55:12 time: 0.4308 data_time: 0.0197 memory: 17087 grad_norm: 4.8381 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8571 loss: 1.8571 2022/08/03 14:34:21 - mmengine - INFO - Epoch(train) [24][1620/1879] lr: 1.0000e-02 eta: 2 days, 3:55:08 time: 0.4522 data_time: 0.0156 memory: 17087 grad_norm: 4.7996 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5942 loss: 1.5942 2022/08/03 14:34:30 - mmengine - INFO - Epoch(train) [24][1640/1879] lr: 1.0000e-02 eta: 2 days, 3:55:00 time: 0.4290 data_time: 0.0149 memory: 17087 grad_norm: 4.9131 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7589 loss: 1.7589 2022/08/03 14:34:38 - mmengine - INFO - Epoch(train) [24][1660/1879] lr: 1.0000e-02 eta: 2 days, 3:54:51 time: 0.4257 data_time: 0.0143 memory: 17087 grad_norm: 4.7698 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8882 loss: 1.8882 2022/08/03 14:34:47 - mmengine - INFO - Epoch(train) [24][1680/1879] lr: 1.0000e-02 eta: 2 days, 3:54:42 time: 0.4263 data_time: 0.0154 memory: 17087 grad_norm: 4.7368 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8887 loss: 1.8887 2022/08/03 14:34:55 - mmengine - INFO - Epoch(train) [24][1700/1879] lr: 1.0000e-02 eta: 2 days, 3:54:32 time: 0.4235 data_time: 0.0126 memory: 17087 grad_norm: 4.7203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8814 loss: 1.8814 2022/08/03 14:35:04 - mmengine - INFO - Epoch(train) [24][1720/1879] lr: 1.0000e-02 eta: 2 days, 3:54:23 time: 0.4251 data_time: 0.0158 memory: 17087 grad_norm: 4.8680 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9511 loss: 1.9511 2022/08/03 14:35:12 - mmengine - INFO - Epoch(train) [24][1740/1879] lr: 1.0000e-02 eta: 2 days, 3:54:13 time: 0.4227 data_time: 0.0127 memory: 17087 grad_norm: 4.6994 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6865 loss: 1.6865 2022/08/03 14:35:21 - mmengine - INFO - Epoch(train) [24][1760/1879] lr: 1.0000e-02 eta: 2 days, 3:54:05 time: 0.4291 data_time: 0.0176 memory: 17087 grad_norm: 4.7880 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8662 loss: 1.8662 2022/08/03 14:35:29 - mmengine - INFO - Epoch(train) [24][1780/1879] lr: 1.0000e-02 eta: 2 days, 3:53:55 time: 0.4237 data_time: 0.0131 memory: 17087 grad_norm: 4.8100 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8365 loss: 1.8365 2022/08/03 14:35:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:35:38 - mmengine - INFO - Epoch(train) [24][1800/1879] lr: 1.0000e-02 eta: 2 days, 3:53:50 time: 0.4462 data_time: 0.0147 memory: 17087 grad_norm: 4.7073 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.7867 loss: 1.7867 2022/08/03 14:35:47 - mmengine - INFO - Epoch(train) [24][1820/1879] lr: 1.0000e-02 eta: 2 days, 3:53:42 time: 0.4317 data_time: 0.0206 memory: 17087 grad_norm: 4.7748 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.9159 loss: 1.9159 2022/08/03 14:35:55 - mmengine - INFO - Epoch(train) [24][1840/1879] lr: 1.0000e-02 eta: 2 days, 3:53:33 time: 0.4229 data_time: 0.0145 memory: 17087 grad_norm: 4.7734 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8715 loss: 1.8715 2022/08/03 14:36:04 - mmengine - INFO - Epoch(train) [24][1860/1879] lr: 1.0000e-02 eta: 2 days, 3:53:23 time: 0.4238 data_time: 0.0130 memory: 17087 grad_norm: 4.8013 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9018 loss: 1.9018 2022/08/03 14:36:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:36:11 - mmengine - INFO - Epoch(train) [24][1879/1879] lr: 1.0000e-02 eta: 2 days, 3:53:23 time: 0.4063 data_time: 0.0160 memory: 17087 grad_norm: 4.8642 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7219 loss: 1.7219 2022/08/03 14:36:11 - mmengine - INFO - Saving checkpoint at 24 epochs 2022/08/03 14:36:25 - mmengine - INFO - Epoch(train) [25][20/1879] lr: 1.0000e-02 eta: 2 days, 3:52:09 time: 0.5405 data_time: 0.1107 memory: 17087 grad_norm: 4.6486 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7112 loss: 1.7112 2022/08/03 14:36:34 - mmengine - INFO - Epoch(train) [25][40/1879] lr: 1.0000e-02 eta: 2 days, 3:52:00 time: 0.4250 data_time: 0.0183 memory: 17087 grad_norm: 4.6585 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7514 loss: 1.7514 2022/08/03 14:36:42 - mmengine - INFO - Epoch(train) [25][60/1879] lr: 1.0000e-02 eta: 2 days, 3:51:50 time: 0.4221 data_time: 0.0129 memory: 17087 grad_norm: 4.7117 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8159 loss: 1.8159 2022/08/03 14:36:51 - mmengine - INFO - Epoch(train) [25][80/1879] lr: 1.0000e-02 eta: 2 days, 3:51:47 time: 0.4536 data_time: 0.0208 memory: 17087 grad_norm: 4.7745 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9748 loss: 1.9748 2022/08/03 14:37:00 - mmengine - INFO - Epoch(train) [25][100/1879] lr: 1.0000e-02 eta: 2 days, 3:51:38 time: 0.4278 data_time: 0.0183 memory: 17087 grad_norm: 4.7067 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6685 loss: 1.6685 2022/08/03 14:37:09 - mmengine - INFO - Epoch(train) [25][120/1879] lr: 1.0000e-02 eta: 2 days, 3:51:30 time: 0.4313 data_time: 0.0175 memory: 17087 grad_norm: 4.7214 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6848 loss: 1.6848 2022/08/03 14:37:17 - mmengine - INFO - Epoch(train) [25][140/1879] lr: 1.0000e-02 eta: 2 days, 3:51:20 time: 0.4225 data_time: 0.0151 memory: 17087 grad_norm: 4.8179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7962 loss: 1.7962 2022/08/03 14:37:26 - mmengine - INFO - Epoch(train) [25][160/1879] lr: 1.0000e-02 eta: 2 days, 3:51:12 time: 0.4289 data_time: 0.0160 memory: 17087 grad_norm: 4.7480 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0008 loss: 2.0008 2022/08/03 14:37:34 - mmengine - INFO - Epoch(train) [25][180/1879] lr: 1.0000e-02 eta: 2 days, 3:51:03 time: 0.4247 data_time: 0.0136 memory: 17087 grad_norm: 4.7184 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6790 loss: 1.6790 2022/08/03 14:37:43 - mmengine - INFO - Epoch(train) [25][200/1879] lr: 1.0000e-02 eta: 2 days, 3:50:53 time: 0.4241 data_time: 0.0150 memory: 17087 grad_norm: 4.7620 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9278 loss: 1.9278 2022/08/03 14:37:52 - mmengine - INFO - Epoch(train) [25][220/1879] lr: 1.0000e-02 eta: 2 days, 3:50:49 time: 0.4490 data_time: 0.0145 memory: 17087 grad_norm: 4.7082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7715 loss: 1.7715 2022/08/03 14:38:00 - mmengine - INFO - Epoch(train) [25][240/1879] lr: 1.0000e-02 eta: 2 days, 3:50:40 time: 0.4301 data_time: 0.0159 memory: 17087 grad_norm: 4.7530 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8132 loss: 1.8132 2022/08/03 14:38:09 - mmengine - INFO - Epoch(train) [25][260/1879] lr: 1.0000e-02 eta: 2 days, 3:50:35 time: 0.4431 data_time: 0.0155 memory: 17087 grad_norm: 4.7565 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9183 loss: 1.9183 2022/08/03 14:38:18 - mmengine - INFO - Epoch(train) [25][280/1879] lr: 1.0000e-02 eta: 2 days, 3:50:25 time: 0.4251 data_time: 0.0151 memory: 17087 grad_norm: 4.7699 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8657 loss: 1.8657 2022/08/03 14:38:26 - mmengine - INFO - Epoch(train) [25][300/1879] lr: 1.0000e-02 eta: 2 days, 3:50:18 time: 0.4345 data_time: 0.0146 memory: 17087 grad_norm: 4.7517 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7152 loss: 1.7152 2022/08/03 14:38:35 - mmengine - INFO - Epoch(train) [25][320/1879] lr: 1.0000e-02 eta: 2 days, 3:50:09 time: 0.4252 data_time: 0.0159 memory: 17087 grad_norm: 4.7618 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6794 loss: 1.6794 2022/08/03 14:38:45 - mmengine - INFO - Epoch(train) [25][340/1879] lr: 1.0000e-02 eta: 2 days, 3:50:19 time: 0.5233 data_time: 0.0178 memory: 17087 grad_norm: 4.7632 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8118 loss: 1.8118 2022/08/03 14:38:54 - mmengine - INFO - Epoch(train) [25][360/1879] lr: 1.0000e-02 eta: 2 days, 3:50:09 time: 0.4242 data_time: 0.0159 memory: 17087 grad_norm: 4.8061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7651 loss: 1.7651 2022/08/03 14:39:02 - mmengine - INFO - Epoch(train) [25][380/1879] lr: 1.0000e-02 eta: 2 days, 3:50:00 time: 0.4248 data_time: 0.0147 memory: 17087 grad_norm: 4.7662 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7196 loss: 1.7196 2022/08/03 14:39:11 - mmengine - INFO - Epoch(train) [25][400/1879] lr: 1.0000e-02 eta: 2 days, 3:49:54 time: 0.4435 data_time: 0.0160 memory: 17087 grad_norm: 4.7050 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6352 loss: 1.6352 2022/08/03 14:39:20 - mmengine - INFO - Epoch(train) [25][420/1879] lr: 1.0000e-02 eta: 2 days, 3:49:45 time: 0.4235 data_time: 0.0134 memory: 17087 grad_norm: 4.8360 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9447 loss: 1.9447 2022/08/03 14:39:28 - mmengine - INFO - Epoch(train) [25][440/1879] lr: 1.0000e-02 eta: 2 days, 3:49:36 time: 0.4268 data_time: 0.0166 memory: 17087 grad_norm: 4.8373 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7131 loss: 1.7131 2022/08/03 14:39:37 - mmengine - INFO - Epoch(train) [25][460/1879] lr: 1.0000e-02 eta: 2 days, 3:49:26 time: 0.4235 data_time: 0.0140 memory: 17087 grad_norm: 4.7376 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7861 loss: 1.7861 2022/08/03 14:39:46 - mmengine - INFO - Epoch(train) [25][480/1879] lr: 1.0000e-02 eta: 2 days, 3:49:21 time: 0.4476 data_time: 0.0172 memory: 17087 grad_norm: 4.6933 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9062 loss: 1.9062 2022/08/03 14:39:54 - mmengine - INFO - Epoch(train) [25][500/1879] lr: 1.0000e-02 eta: 2 days, 3:49:12 time: 0.4223 data_time: 0.0142 memory: 17087 grad_norm: 4.8950 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7650 loss: 1.7650 2022/08/03 14:40:03 - mmengine - INFO - Epoch(train) [25][520/1879] lr: 1.0000e-02 eta: 2 days, 3:49:03 time: 0.4256 data_time: 0.0146 memory: 17087 grad_norm: 4.8345 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 2.0079 loss: 2.0079 2022/08/03 14:40:12 - mmengine - INFO - Epoch(train) [25][540/1879] lr: 1.0000e-02 eta: 2 days, 3:48:58 time: 0.4479 data_time: 0.0152 memory: 17087 grad_norm: 4.6123 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8235 loss: 1.8235 2022/08/03 14:40:20 - mmengine - INFO - Epoch(train) [25][560/1879] lr: 1.0000e-02 eta: 2 days, 3:48:49 time: 0.4264 data_time: 0.0163 memory: 17087 grad_norm: 4.7431 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7741 loss: 1.7741 2022/08/03 14:40:29 - mmengine - INFO - Epoch(train) [25][580/1879] lr: 1.0000e-02 eta: 2 days, 3:48:40 time: 0.4290 data_time: 0.0146 memory: 17087 grad_norm: 4.7760 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7708 loss: 1.7708 2022/08/03 14:40:37 - mmengine - INFO - Epoch(train) [25][600/1879] lr: 1.0000e-02 eta: 2 days, 3:48:31 time: 0.4238 data_time: 0.0154 memory: 17087 grad_norm: 4.6706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8324 loss: 1.8324 2022/08/03 14:40:46 - mmengine - INFO - Epoch(train) [25][620/1879] lr: 1.0000e-02 eta: 2 days, 3:48:26 time: 0.4488 data_time: 0.0145 memory: 17087 grad_norm: 4.9888 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7573 loss: 1.7573 2022/08/03 14:40:55 - mmengine - INFO - Epoch(train) [25][640/1879] lr: 1.0000e-02 eta: 2 days, 3:48:17 time: 0.4254 data_time: 0.0163 memory: 17087 grad_norm: 4.7412 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.7280 loss: 1.7280 2022/08/03 14:41:03 - mmengine - INFO - Epoch(train) [25][660/1879] lr: 1.0000e-02 eta: 2 days, 3:48:07 time: 0.4235 data_time: 0.0126 memory: 17087 grad_norm: 4.6867 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8916 loss: 1.8916 2022/08/03 14:41:12 - mmengine - INFO - Epoch(train) [25][680/1879] lr: 1.0000e-02 eta: 2 days, 3:47:59 time: 0.4314 data_time: 0.0151 memory: 17087 grad_norm: 4.7386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6282 loss: 1.6282 2022/08/03 14:41:20 - mmengine - INFO - Epoch(train) [25][700/1879] lr: 1.0000e-02 eta: 2 days, 3:47:50 time: 0.4252 data_time: 0.0134 memory: 17087 grad_norm: 4.7889 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9424 loss: 1.9424 2022/08/03 14:41:29 - mmengine - INFO - Epoch(train) [25][720/1879] lr: 1.0000e-02 eta: 2 days, 3:47:41 time: 0.4264 data_time: 0.0151 memory: 17087 grad_norm: 4.7469 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6977 loss: 1.6977 2022/08/03 14:41:37 - mmengine - INFO - Epoch(train) [25][740/1879] lr: 1.0000e-02 eta: 2 days, 3:47:32 time: 0.4241 data_time: 0.0144 memory: 17087 grad_norm: 4.7029 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7834 loss: 1.7834 2022/08/03 14:41:46 - mmengine - INFO - Epoch(train) [25][760/1879] lr: 1.0000e-02 eta: 2 days, 3:47:27 time: 0.4485 data_time: 0.0153 memory: 17087 grad_norm: 4.7788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9794 loss: 1.9794 2022/08/03 14:41:55 - mmengine - INFO - Epoch(train) [25][780/1879] lr: 1.0000e-02 eta: 2 days, 3:47:18 time: 0.4229 data_time: 0.0130 memory: 17087 grad_norm: 4.6798 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8105 loss: 1.8105 2022/08/03 14:42:03 - mmengine - INFO - Epoch(train) [25][800/1879] lr: 1.0000e-02 eta: 2 days, 3:47:09 time: 0.4305 data_time: 0.0201 memory: 17087 grad_norm: 4.8832 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9335 loss: 1.9335 2022/08/03 14:42:12 - mmengine - INFO - Epoch(train) [25][820/1879] lr: 1.0000e-02 eta: 2 days, 3:47:01 time: 0.4314 data_time: 0.0148 memory: 17087 grad_norm: 4.6714 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8416 loss: 1.8416 2022/08/03 14:42:20 - mmengine - INFO - Epoch(train) [25][840/1879] lr: 1.0000e-02 eta: 2 days, 3:46:52 time: 0.4263 data_time: 0.0156 memory: 17087 grad_norm: 4.9073 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7373 loss: 1.7373 2022/08/03 14:42:29 - mmengine - INFO - Epoch(train) [25][860/1879] lr: 1.0000e-02 eta: 2 days, 3:46:44 time: 0.4302 data_time: 0.0146 memory: 17087 grad_norm: 4.7602 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7911 loss: 1.7911 2022/08/03 14:42:38 - mmengine - INFO - Epoch(train) [25][880/1879] lr: 1.0000e-02 eta: 2 days, 3:46:35 time: 0.4267 data_time: 0.0166 memory: 17087 grad_norm: 4.6360 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7930 loss: 1.7930 2022/08/03 14:42:46 - mmengine - INFO - Epoch(train) [25][900/1879] lr: 1.0000e-02 eta: 2 days, 3:46:30 time: 0.4463 data_time: 0.0145 memory: 17087 grad_norm: 4.7302 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8332 loss: 1.8332 2022/08/03 14:42:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:42:55 - mmengine - INFO - Epoch(train) [25][920/1879] lr: 1.0000e-02 eta: 2 days, 3:46:21 time: 0.4240 data_time: 0.0141 memory: 17087 grad_norm: 4.5637 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5710 loss: 1.5710 2022/08/03 14:43:04 - mmengine - INFO - Epoch(train) [25][940/1879] lr: 1.0000e-02 eta: 2 days, 3:46:12 time: 0.4285 data_time: 0.0169 memory: 17087 grad_norm: 4.7061 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9284 loss: 1.9284 2022/08/03 14:43:12 - mmengine - INFO - Epoch(train) [25][960/1879] lr: 1.0000e-02 eta: 2 days, 3:46:03 time: 0.4270 data_time: 0.0152 memory: 17087 grad_norm: 4.8200 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5553 loss: 1.5553 2022/08/03 14:43:21 - mmengine - INFO - Epoch(train) [25][980/1879] lr: 1.0000e-02 eta: 2 days, 3:45:54 time: 0.4241 data_time: 0.0134 memory: 17087 grad_norm: 4.7498 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8544 loss: 1.8544 2022/08/03 14:43:29 - mmengine - INFO - Epoch(train) [25][1000/1879] lr: 1.0000e-02 eta: 2 days, 3:45:48 time: 0.4449 data_time: 0.0143 memory: 17087 grad_norm: 4.7989 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6133 loss: 1.6133 2022/08/03 14:43:38 - mmengine - INFO - Epoch(train) [25][1020/1879] lr: 1.0000e-02 eta: 2 days, 3:45:39 time: 0.4243 data_time: 0.0147 memory: 17087 grad_norm: 4.7897 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8378 loss: 1.8378 2022/08/03 14:43:47 - mmengine - INFO - Epoch(train) [25][1040/1879] lr: 1.0000e-02 eta: 2 days, 3:45:35 time: 0.4518 data_time: 0.0212 memory: 17087 grad_norm: 4.6566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7295 loss: 1.7295 2022/08/03 14:43:56 - mmengine - INFO - Epoch(train) [25][1060/1879] lr: 1.0000e-02 eta: 2 days, 3:45:26 time: 0.4245 data_time: 0.0147 memory: 17087 grad_norm: 4.6914 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9629 loss: 1.9629 2022/08/03 14:44:04 - mmengine - INFO - Epoch(train) [25][1080/1879] lr: 1.0000e-02 eta: 2 days, 3:45:16 time: 0.4238 data_time: 0.0152 memory: 17087 grad_norm: 4.7725 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9455 loss: 1.9455 2022/08/03 14:44:13 - mmengine - INFO - Epoch(train) [25][1100/1879] lr: 1.0000e-02 eta: 2 days, 3:45:09 time: 0.4383 data_time: 0.0138 memory: 17087 grad_norm: 4.7957 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8330 loss: 1.8330 2022/08/03 14:44:21 - mmengine - INFO - Epoch(train) [25][1120/1879] lr: 1.0000e-02 eta: 2 days, 3:45:00 time: 0.4241 data_time: 0.0150 memory: 17087 grad_norm: 4.6718 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7178 loss: 1.7178 2022/08/03 14:44:30 - mmengine - INFO - Epoch(train) [25][1140/1879] lr: 1.0000e-02 eta: 2 days, 3:44:56 time: 0.4529 data_time: 0.0173 memory: 17087 grad_norm: 4.6978 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8879 loss: 1.8879 2022/08/03 14:44:39 - mmengine - INFO - Epoch(train) [25][1160/1879] lr: 1.0000e-02 eta: 2 days, 3:44:47 time: 0.4244 data_time: 0.0156 memory: 17087 grad_norm: 4.7321 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7528 loss: 1.7528 2022/08/03 14:44:48 - mmengine - INFO - Epoch(train) [25][1180/1879] lr: 1.0000e-02 eta: 2 days, 3:44:42 time: 0.4504 data_time: 0.0152 memory: 17087 grad_norm: 4.7316 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9586 loss: 1.9586 2022/08/03 14:44:56 - mmengine - INFO - Epoch(train) [25][1200/1879] lr: 1.0000e-02 eta: 2 days, 3:44:33 time: 0.4233 data_time: 0.0145 memory: 17087 grad_norm: 4.8595 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9302 loss: 1.9302 2022/08/03 14:45:05 - mmengine - INFO - Epoch(train) [25][1220/1879] lr: 1.0000e-02 eta: 2 days, 3:44:24 time: 0.4297 data_time: 0.0204 memory: 17087 grad_norm: 4.8300 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7880 loss: 1.7880 2022/08/03 14:45:13 - mmengine - INFO - Epoch(train) [25][1240/1879] lr: 1.0000e-02 eta: 2 days, 3:44:15 time: 0.4267 data_time: 0.0162 memory: 17087 grad_norm: 4.8951 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7032 loss: 1.7032 2022/08/03 14:45:22 - mmengine - INFO - Epoch(train) [25][1260/1879] lr: 1.0000e-02 eta: 2 days, 3:44:07 time: 0.4265 data_time: 0.0175 memory: 17087 grad_norm: 4.7100 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7803 loss: 1.7803 2022/08/03 14:45:31 - mmengine - INFO - Epoch(train) [25][1280/1879] lr: 1.0000e-02 eta: 2 days, 3:43:59 time: 0.4354 data_time: 0.0159 memory: 17087 grad_norm: 4.7525 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0244 loss: 2.0244 2022/08/03 14:45:39 - mmengine - INFO - Epoch(train) [25][1300/1879] lr: 1.0000e-02 eta: 2 days, 3:43:50 time: 0.4247 data_time: 0.0139 memory: 17087 grad_norm: 4.7239 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7921 loss: 1.7921 2022/08/03 14:45:48 - mmengine - INFO - Epoch(train) [25][1320/1879] lr: 1.0000e-02 eta: 2 days, 3:43:46 time: 0.4520 data_time: 0.0171 memory: 17087 grad_norm: 4.6576 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5554 loss: 1.5554 2022/08/03 14:45:57 - mmengine - INFO - Epoch(train) [25][1340/1879] lr: 1.0000e-02 eta: 2 days, 3:43:37 time: 0.4278 data_time: 0.0193 memory: 17087 grad_norm: 4.6072 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8424 loss: 1.8424 2022/08/03 14:46:05 - mmengine - INFO - Epoch(train) [25][1360/1879] lr: 1.0000e-02 eta: 2 days, 3:43:29 time: 0.4315 data_time: 0.0156 memory: 17087 grad_norm: 4.8079 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5972 loss: 1.5972 2022/08/03 14:46:14 - mmengine - INFO - Epoch(train) [25][1380/1879] lr: 1.0000e-02 eta: 2 days, 3:43:25 time: 0.4524 data_time: 0.0141 memory: 17087 grad_norm: 4.5687 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.6306 loss: 1.6306 2022/08/03 14:46:23 - mmengine - INFO - Epoch(train) [25][1400/1879] lr: 1.0000e-02 eta: 2 days, 3:43:16 time: 0.4240 data_time: 0.0137 memory: 17087 grad_norm: 4.6691 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8023 loss: 1.8023 2022/08/03 14:46:32 - mmengine - INFO - Epoch(train) [25][1420/1879] lr: 1.0000e-02 eta: 2 days, 3:43:08 time: 0.4330 data_time: 0.0172 memory: 17087 grad_norm: 4.6935 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7446 loss: 1.7446 2022/08/03 14:46:40 - mmengine - INFO - Epoch(train) [25][1440/1879] lr: 1.0000e-02 eta: 2 days, 3:42:59 time: 0.4262 data_time: 0.0158 memory: 17087 grad_norm: 4.7991 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7041 loss: 1.7041 2022/08/03 14:46:49 - mmengine - INFO - Epoch(train) [25][1460/1879] lr: 1.0000e-02 eta: 2 days, 3:42:50 time: 0.4278 data_time: 0.0147 memory: 17087 grad_norm: 4.8017 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 2.0489 loss: 2.0489 2022/08/03 14:46:57 - mmengine - INFO - Epoch(train) [25][1480/1879] lr: 1.0000e-02 eta: 2 days, 3:42:41 time: 0.4243 data_time: 0.0155 memory: 17087 grad_norm: 4.7975 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6778 loss: 1.6778 2022/08/03 14:47:06 - mmengine - INFO - Epoch(train) [25][1500/1879] lr: 1.0000e-02 eta: 2 days, 3:42:32 time: 0.4267 data_time: 0.0158 memory: 17087 grad_norm: 4.8834 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7946 loss: 1.7946 2022/08/03 14:47:14 - mmengine - INFO - Epoch(train) [25][1520/1879] lr: 1.0000e-02 eta: 2 days, 3:42:23 time: 0.4265 data_time: 0.0155 memory: 17087 grad_norm: 4.8845 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6790 loss: 1.6790 2022/08/03 14:47:23 - mmengine - INFO - Epoch(train) [25][1540/1879] lr: 1.0000e-02 eta: 2 days, 3:42:14 time: 0.4247 data_time: 0.0154 memory: 17087 grad_norm: 4.7517 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8575 loss: 1.8575 2022/08/03 14:47:32 - mmengine - INFO - Epoch(train) [25][1560/1879] lr: 1.0000e-02 eta: 2 days, 3:42:08 time: 0.4453 data_time: 0.0164 memory: 17087 grad_norm: 4.7443 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7491 loss: 1.7491 2022/08/03 14:47:40 - mmengine - INFO - Epoch(train) [25][1580/1879] lr: 1.0000e-02 eta: 2 days, 3:41:59 time: 0.4230 data_time: 0.0153 memory: 17087 grad_norm: 4.7209 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7054 loss: 1.7054 2022/08/03 14:47:49 - mmengine - INFO - Epoch(train) [25][1600/1879] lr: 1.0000e-02 eta: 2 days, 3:41:53 time: 0.4436 data_time: 0.0164 memory: 17087 grad_norm: 4.7998 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9117 loss: 1.9117 2022/08/03 14:47:57 - mmengine - INFO - Epoch(train) [25][1620/1879] lr: 1.0000e-02 eta: 2 days, 3:41:43 time: 0.4239 data_time: 0.0151 memory: 17087 grad_norm: 4.6866 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6738 loss: 1.6738 2022/08/03 14:48:06 - mmengine - INFO - Epoch(train) [25][1640/1879] lr: 1.0000e-02 eta: 2 days, 3:41:38 time: 0.4435 data_time: 0.0178 memory: 17087 grad_norm: 4.9119 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6979 loss: 1.6979 2022/08/03 14:48:15 - mmengine - INFO - Epoch(train) [25][1660/1879] lr: 1.0000e-02 eta: 2 days, 3:41:28 time: 0.4238 data_time: 0.0138 memory: 17087 grad_norm: 4.8483 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7474 loss: 1.7474 2022/08/03 14:48:23 - mmengine - INFO - Epoch(train) [25][1680/1879] lr: 1.0000e-02 eta: 2 days, 3:41:19 time: 0.4248 data_time: 0.0147 memory: 17087 grad_norm: 4.7058 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8259 loss: 1.8259 2022/08/03 14:48:32 - mmengine - INFO - Epoch(train) [25][1700/1879] lr: 1.0000e-02 eta: 2 days, 3:41:15 time: 0.4515 data_time: 0.0159 memory: 17087 grad_norm: 4.7642 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8123 loss: 1.8123 2022/08/03 14:48:41 - mmengine - INFO - Epoch(train) [25][1720/1879] lr: 1.0000e-02 eta: 2 days, 3:41:05 time: 0.4253 data_time: 0.0154 memory: 17087 grad_norm: 4.7276 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7332 loss: 1.7332 2022/08/03 14:48:50 - mmengine - INFO - Epoch(train) [25][1740/1879] lr: 1.0000e-02 eta: 2 days, 3:40:59 time: 0.4425 data_time: 0.0158 memory: 17087 grad_norm: 4.7030 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7053 loss: 1.7053 2022/08/03 14:48:58 - mmengine - INFO - Epoch(train) [25][1760/1879] lr: 1.0000e-02 eta: 2 days, 3:40:50 time: 0.4243 data_time: 0.0154 memory: 17087 grad_norm: 4.7033 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7574 loss: 1.7574 2022/08/03 14:49:07 - mmengine - INFO - Epoch(train) [25][1780/1879] lr: 1.0000e-02 eta: 2 days, 3:40:42 time: 0.4296 data_time: 0.0157 memory: 17087 grad_norm: 4.8016 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8277 loss: 1.8277 2022/08/03 14:49:15 - mmengine - INFO - Epoch(train) [25][1800/1879] lr: 1.0000e-02 eta: 2 days, 3:40:32 time: 0.4233 data_time: 0.0160 memory: 17087 grad_norm: 4.8178 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9425 loss: 1.9425 2022/08/03 14:49:24 - mmengine - INFO - Epoch(train) [25][1820/1879] lr: 1.0000e-02 eta: 2 days, 3:40:23 time: 0.4244 data_time: 0.0161 memory: 17087 grad_norm: 4.7541 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7741 loss: 1.7741 2022/08/03 14:49:32 - mmengine - INFO - Epoch(train) [25][1840/1879] lr: 1.0000e-02 eta: 2 days, 3:40:16 time: 0.4357 data_time: 0.0183 memory: 17087 grad_norm: 4.7353 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5615 loss: 1.5615 2022/08/03 14:49:41 - mmengine - INFO - Epoch(train) [25][1860/1879] lr: 1.0000e-02 eta: 2 days, 3:40:06 time: 0.4236 data_time: 0.0137 memory: 17087 grad_norm: 4.8019 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7586 loss: 1.7586 2022/08/03 14:49:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:49:49 - mmengine - INFO - Epoch(train) [25][1879/1879] lr: 1.0000e-02 eta: 2 days, 3:40:06 time: 0.4195 data_time: 0.0156 memory: 17087 grad_norm: 4.9057 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 2.0106 loss: 2.0106 2022/08/03 14:49:57 - mmengine - INFO - Epoch(val) [25][20/155] eta: 0:00:52 time: 0.3855 data_time: 0.2174 memory: 2821 2022/08/03 14:50:02 - mmengine - INFO - Epoch(val) [25][40/155] eta: 0:00:27 time: 0.2414 data_time: 0.0752 memory: 2821 2022/08/03 14:50:08 - mmengine - INFO - Epoch(val) [25][60/155] eta: 0:00:30 time: 0.3213 data_time: 0.1486 memory: 2821 2022/08/03 14:50:13 - mmengine - INFO - Epoch(val) [25][80/155] eta: 0:00:20 time: 0.2695 data_time: 0.1013 memory: 2821 2022/08/03 14:50:20 - mmengine - INFO - Epoch(val) [25][100/155] eta: 0:00:17 time: 0.3127 data_time: 0.1472 memory: 2821 2022/08/03 14:50:25 - mmengine - INFO - Epoch(val) [25][120/155] eta: 0:00:10 time: 0.2903 data_time: 0.1216 memory: 2821 2022/08/03 14:50:32 - mmengine - INFO - Epoch(val) [25][140/155] eta: 0:00:04 time: 0.3264 data_time: 0.1568 memory: 2821 2022/08/03 14:50:37 - mmengine - INFO - Epoch(val) [25][155/155] acc/top1: 0.6291 acc/top5: 0.8484 acc/mean1: 0.6291 2022/08/03 14:50:37 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_21.pth is removed 2022/08/03 14:50:39 - mmengine - INFO - The best checkpoint with 0.6291 acc/top1 at 26 epoch is saved to best_acc/top1_epoch_26.pth. 2022/08/03 14:50:50 - mmengine - INFO - Epoch(train) [26][20/1879] lr: 1.0000e-02 eta: 2 days, 3:38:49 time: 0.5080 data_time: 0.0982 memory: 17087 grad_norm: 4.6705 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6196 loss: 1.6196 2022/08/03 14:50:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:50:59 - mmengine - INFO - Epoch(train) [26][40/1879] lr: 1.0000e-02 eta: 2 days, 3:38:46 time: 0.4615 data_time: 0.0152 memory: 17087 grad_norm: 4.6534 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6762 loss: 1.6762 2022/08/03 14:51:07 - mmengine - INFO - Epoch(train) [26][60/1879] lr: 1.0000e-02 eta: 2 days, 3:38:37 time: 0.4225 data_time: 0.0128 memory: 17087 grad_norm: 4.6840 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8975 loss: 1.8975 2022/08/03 14:51:16 - mmengine - INFO - Epoch(train) [26][80/1879] lr: 1.0000e-02 eta: 2 days, 3:38:28 time: 0.4286 data_time: 0.0187 memory: 17087 grad_norm: 4.6772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7815 loss: 1.7815 2022/08/03 14:51:24 - mmengine - INFO - Epoch(train) [26][100/1879] lr: 1.0000e-02 eta: 2 days, 3:38:19 time: 0.4245 data_time: 0.0142 memory: 17087 grad_norm: 4.6484 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.8230 loss: 1.8230 2022/08/03 14:51:33 - mmengine - INFO - Epoch(train) [26][120/1879] lr: 1.0000e-02 eta: 2 days, 3:38:10 time: 0.4257 data_time: 0.0161 memory: 17087 grad_norm: 4.6959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6458 loss: 1.6458 2022/08/03 14:51:41 - mmengine - INFO - Epoch(train) [26][140/1879] lr: 1.0000e-02 eta: 2 days, 3:38:01 time: 0.4265 data_time: 0.0157 memory: 17087 grad_norm: 4.8588 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7965 loss: 1.7965 2022/08/03 14:51:50 - mmengine - INFO - Epoch(train) [26][160/1879] lr: 1.0000e-02 eta: 2 days, 3:37:52 time: 0.4249 data_time: 0.0150 memory: 17087 grad_norm: 4.8338 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7560 loss: 1.7560 2022/08/03 14:51:58 - mmengine - INFO - Epoch(train) [26][180/1879] lr: 1.0000e-02 eta: 2 days, 3:37:43 time: 0.4259 data_time: 0.0158 memory: 17087 grad_norm: 4.6790 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6792 loss: 1.6792 2022/08/03 14:52:07 - mmengine - INFO - Epoch(train) [26][200/1879] lr: 1.0000e-02 eta: 2 days, 3:37:34 time: 0.4249 data_time: 0.0192 memory: 17087 grad_norm: 4.7475 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7043 loss: 1.7043 2022/08/03 14:52:15 - mmengine - INFO - Epoch(train) [26][220/1879] lr: 1.0000e-02 eta: 2 days, 3:37:24 time: 0.4233 data_time: 0.0141 memory: 17087 grad_norm: 4.7676 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5367 loss: 1.5367 2022/08/03 14:52:24 - mmengine - INFO - Epoch(train) [26][240/1879] lr: 1.0000e-02 eta: 2 days, 3:37:19 time: 0.4480 data_time: 0.0154 memory: 17087 grad_norm: 4.7092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8802 loss: 1.8802 2022/08/03 14:52:33 - mmengine - INFO - Epoch(train) [26][260/1879] lr: 1.0000e-02 eta: 2 days, 3:37:09 time: 0.4205 data_time: 0.0136 memory: 17087 grad_norm: 4.8644 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.8322 loss: 1.8322 2022/08/03 14:52:41 - mmengine - INFO - Epoch(train) [26][280/1879] lr: 1.0000e-02 eta: 2 days, 3:37:00 time: 0.4274 data_time: 0.0166 memory: 17087 grad_norm: 4.6720 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7294 loss: 1.7294 2022/08/03 14:52:50 - mmengine - INFO - Epoch(train) [26][300/1879] lr: 1.0000e-02 eta: 2 days, 3:36:51 time: 0.4238 data_time: 0.0151 memory: 17087 grad_norm: 4.6777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7596 loss: 1.7596 2022/08/03 14:52:59 - mmengine - INFO - Epoch(train) [26][320/1879] lr: 1.0000e-02 eta: 2 days, 3:36:45 time: 0.4415 data_time: 0.0163 memory: 17087 grad_norm: 4.6388 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7126 loss: 1.7126 2022/08/03 14:53:07 - mmengine - INFO - Epoch(train) [26][340/1879] lr: 1.0000e-02 eta: 2 days, 3:36:36 time: 0.4250 data_time: 0.0146 memory: 17087 grad_norm: 4.7911 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.9444 loss: 1.9444 2022/08/03 14:53:16 - mmengine - INFO - Epoch(train) [26][360/1879] lr: 1.0000e-02 eta: 2 days, 3:36:26 time: 0.4249 data_time: 0.0154 memory: 17087 grad_norm: 4.6775 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7554 loss: 1.7554 2022/08/03 14:53:24 - mmengine - INFO - Epoch(train) [26][380/1879] lr: 1.0000e-02 eta: 2 days, 3:36:17 time: 0.4254 data_time: 0.0150 memory: 17087 grad_norm: 4.7122 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6546 loss: 1.6546 2022/08/03 14:53:33 - mmengine - INFO - Epoch(train) [26][400/1879] lr: 1.0000e-02 eta: 2 days, 3:36:14 time: 0.4557 data_time: 0.0164 memory: 17087 grad_norm: 4.7969 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7676 loss: 1.7676 2022/08/03 14:53:42 - mmengine - INFO - Epoch(train) [26][420/1879] lr: 1.0000e-02 eta: 2 days, 3:36:04 time: 0.4233 data_time: 0.0137 memory: 17087 grad_norm: 4.8386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8733 loss: 1.8733 2022/08/03 14:53:51 - mmengine - INFO - Epoch(train) [26][440/1879] lr: 1.0000e-02 eta: 2 days, 3:35:58 time: 0.4409 data_time: 0.0164 memory: 17087 grad_norm: 4.9923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9271 loss: 1.9271 2022/08/03 14:53:59 - mmengine - INFO - Epoch(train) [26][460/1879] lr: 1.0000e-02 eta: 2 days, 3:35:49 time: 0.4240 data_time: 0.0135 memory: 17087 grad_norm: 4.7815 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8605 loss: 1.8605 2022/08/03 14:54:08 - mmengine - INFO - Epoch(train) [26][480/1879] lr: 1.0000e-02 eta: 2 days, 3:35:43 time: 0.4450 data_time: 0.0157 memory: 17087 grad_norm: 4.9346 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0423 loss: 2.0423 2022/08/03 14:54:17 - mmengine - INFO - Epoch(train) [26][500/1879] lr: 1.0000e-02 eta: 2 days, 3:35:39 time: 0.4513 data_time: 0.0166 memory: 17087 grad_norm: 4.7392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5911 loss: 1.5911 2022/08/03 14:54:25 - mmengine - INFO - Epoch(train) [26][520/1879] lr: 1.0000e-02 eta: 2 days, 3:35:29 time: 0.4232 data_time: 0.0154 memory: 17087 grad_norm: 4.8848 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8639 loss: 1.8639 2022/08/03 14:54:34 - mmengine - INFO - Epoch(train) [26][540/1879] lr: 1.0000e-02 eta: 2 days, 3:35:20 time: 0.4241 data_time: 0.0152 memory: 17087 grad_norm: 4.8545 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7473 loss: 1.7473 2022/08/03 14:54:43 - mmengine - INFO - Epoch(train) [26][560/1879] lr: 1.0000e-02 eta: 2 days, 3:35:11 time: 0.4301 data_time: 0.0163 memory: 17087 grad_norm: 4.6380 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5424 loss: 1.5424 2022/08/03 14:54:51 - mmengine - INFO - Epoch(train) [26][580/1879] lr: 1.0000e-02 eta: 2 days, 3:35:02 time: 0.4258 data_time: 0.0162 memory: 17087 grad_norm: 4.8128 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5595 loss: 1.5595 2022/08/03 14:55:00 - mmengine - INFO - Epoch(train) [26][600/1879] lr: 1.0000e-02 eta: 2 days, 3:34:53 time: 0.4260 data_time: 0.0172 memory: 17087 grad_norm: 4.7195 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7367 loss: 1.7367 2022/08/03 14:55:08 - mmengine - INFO - Epoch(train) [26][620/1879] lr: 1.0000e-02 eta: 2 days, 3:34:47 time: 0.4382 data_time: 0.0158 memory: 17087 grad_norm: 4.6827 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8729 loss: 1.8729 2022/08/03 14:55:17 - mmengine - INFO - Epoch(train) [26][640/1879] lr: 1.0000e-02 eta: 2 days, 3:34:39 time: 0.4317 data_time: 0.0165 memory: 17087 grad_norm: 4.8390 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.9388 loss: 1.9388 2022/08/03 14:55:26 - mmengine - INFO - Epoch(train) [26][660/1879] lr: 1.0000e-02 eta: 2 days, 3:34:29 time: 0.4249 data_time: 0.0152 memory: 17087 grad_norm: 4.8192 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7989 loss: 1.7989 2022/08/03 14:55:34 - mmengine - INFO - Epoch(train) [26][680/1879] lr: 1.0000e-02 eta: 2 days, 3:34:20 time: 0.4242 data_time: 0.0153 memory: 17087 grad_norm: 4.7965 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8182 loss: 1.8182 2022/08/03 14:55:43 - mmengine - INFO - Epoch(train) [26][700/1879] lr: 1.0000e-02 eta: 2 days, 3:34:13 time: 0.4358 data_time: 0.0153 memory: 17087 grad_norm: 4.8207 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8111 loss: 1.8111 2022/08/03 14:55:51 - mmengine - INFO - Epoch(train) [26][720/1879] lr: 1.0000e-02 eta: 2 days, 3:34:05 time: 0.4300 data_time: 0.0195 memory: 17087 grad_norm: 4.7388 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6659 loss: 1.6659 2022/08/03 14:56:00 - mmengine - INFO - Epoch(train) [26][740/1879] lr: 1.0000e-02 eta: 2 days, 3:33:59 time: 0.4443 data_time: 0.0149 memory: 17087 grad_norm: 4.8314 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8876 loss: 1.8876 2022/08/03 14:56:09 - mmengine - INFO - Epoch(train) [26][760/1879] lr: 1.0000e-02 eta: 2 days, 3:33:50 time: 0.4272 data_time: 0.0175 memory: 17087 grad_norm: 4.7350 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.9136 loss: 1.9136 2022/08/03 14:56:17 - mmengine - INFO - Epoch(train) [26][780/1879] lr: 1.0000e-02 eta: 2 days, 3:33:41 time: 0.4234 data_time: 0.0148 memory: 17087 grad_norm: 4.8721 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8004 loss: 1.8004 2022/08/03 14:56:26 - mmengine - INFO - Epoch(train) [26][800/1879] lr: 1.0000e-02 eta: 2 days, 3:33:31 time: 0.4241 data_time: 0.0147 memory: 17087 grad_norm: 4.7494 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8056 loss: 1.8056 2022/08/03 14:56:35 - mmengine - INFO - Epoch(train) [26][820/1879] lr: 1.0000e-02 eta: 2 days, 3:33:25 time: 0.4393 data_time: 0.0158 memory: 17087 grad_norm: 4.7518 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7070 loss: 1.7070 2022/08/03 14:56:43 - mmengine - INFO - Epoch(train) [26][840/1879] lr: 1.0000e-02 eta: 2 days, 3:33:17 time: 0.4344 data_time: 0.0140 memory: 17087 grad_norm: 4.7254 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5640 loss: 1.5640 2022/08/03 14:56:52 - mmengine - INFO - Epoch(train) [26][860/1879] lr: 1.0000e-02 eta: 2 days, 3:33:09 time: 0.4314 data_time: 0.0171 memory: 17087 grad_norm: 4.6914 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7820 loss: 1.7820 2022/08/03 14:57:00 - mmengine - INFO - Epoch(train) [26][880/1879] lr: 1.0000e-02 eta: 2 days, 3:33:00 time: 0.4252 data_time: 0.0150 memory: 17087 grad_norm: 4.8227 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8858 loss: 1.8858 2022/08/03 14:57:09 - mmengine - INFO - Epoch(train) [26][900/1879] lr: 1.0000e-02 eta: 2 days, 3:32:54 time: 0.4444 data_time: 0.0134 memory: 17087 grad_norm: 4.8246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7268 loss: 1.7268 2022/08/03 14:57:18 - mmengine - INFO - Epoch(train) [26][920/1879] lr: 1.0000e-02 eta: 2 days, 3:32:45 time: 0.4253 data_time: 0.0148 memory: 17087 grad_norm: 4.7670 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8254 loss: 1.8254 2022/08/03 14:57:26 - mmengine - INFO - Epoch(train) [26][940/1879] lr: 1.0000e-02 eta: 2 days, 3:32:36 time: 0.4239 data_time: 0.0139 memory: 17087 grad_norm: 4.7664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0194 loss: 2.0194 2022/08/03 14:57:35 - mmengine - INFO - Epoch(train) [26][960/1879] lr: 1.0000e-02 eta: 2 days, 3:32:28 time: 0.4298 data_time: 0.0193 memory: 17087 grad_norm: 4.8674 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8973 loss: 1.8973 2022/08/03 14:57:43 - mmengine - INFO - Epoch(train) [26][980/1879] lr: 1.0000e-02 eta: 2 days, 3:32:18 time: 0.4253 data_time: 0.0177 memory: 17087 grad_norm: 4.7807 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8306 loss: 1.8306 2022/08/03 14:57:53 - mmengine - INFO - Epoch(train) [26][1000/1879] lr: 1.0000e-02 eta: 2 days, 3:32:16 time: 0.4652 data_time: 0.0189 memory: 17087 grad_norm: 4.7783 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8048 loss: 1.8048 2022/08/03 14:58:01 - mmengine - INFO - Epoch(train) [26][1020/1879] lr: 1.0000e-02 eta: 2 days, 3:32:07 time: 0.4251 data_time: 0.0153 memory: 17087 grad_norm: 4.7400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7764 loss: 1.7764 2022/08/03 14:58:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 14:58:10 - mmengine - INFO - Epoch(train) [26][1040/1879] lr: 1.0000e-02 eta: 2 days, 3:32:00 time: 0.4349 data_time: 0.0156 memory: 17087 grad_norm: 4.7021 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7109 loss: 1.7109 2022/08/03 14:58:18 - mmengine - INFO - Epoch(train) [26][1060/1879] lr: 1.0000e-02 eta: 2 days, 3:31:50 time: 0.4235 data_time: 0.0159 memory: 17087 grad_norm: 4.7463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7640 loss: 1.7640 2022/08/03 14:58:27 - mmengine - INFO - Epoch(train) [26][1080/1879] lr: 1.0000e-02 eta: 2 days, 3:31:47 time: 0.4557 data_time: 0.0171 memory: 17087 grad_norm: 4.8462 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7453 loss: 1.7453 2022/08/03 14:58:36 - mmengine - INFO - Epoch(train) [26][1100/1879] lr: 1.0000e-02 eta: 2 days, 3:31:37 time: 0.4226 data_time: 0.0142 memory: 17087 grad_norm: 4.8120 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6810 loss: 1.6810 2022/08/03 14:58:44 - mmengine - INFO - Epoch(train) [26][1120/1879] lr: 1.0000e-02 eta: 2 days, 3:31:28 time: 0.4266 data_time: 0.0158 memory: 17087 grad_norm: 4.6754 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.9609 loss: 1.9609 2022/08/03 14:58:53 - mmengine - INFO - Epoch(train) [26][1140/1879] lr: 1.0000e-02 eta: 2 days, 3:31:20 time: 0.4277 data_time: 0.0148 memory: 17087 grad_norm: 4.7150 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5982 loss: 1.5982 2022/08/03 14:59:02 - mmengine - INFO - Epoch(train) [26][1160/1879] lr: 1.0000e-02 eta: 2 days, 3:31:10 time: 0.4257 data_time: 0.0162 memory: 17087 grad_norm: 4.8567 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6830 loss: 1.6830 2022/08/03 14:59:10 - mmengine - INFO - Epoch(train) [26][1180/1879] lr: 1.0000e-02 eta: 2 days, 3:31:01 time: 0.4252 data_time: 0.0170 memory: 17087 grad_norm: 4.8168 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7652 loss: 1.7652 2022/08/03 14:59:19 - mmengine - INFO - Epoch(train) [26][1200/1879] lr: 1.0000e-02 eta: 2 days, 3:30:52 time: 0.4262 data_time: 0.0169 memory: 17087 grad_norm: 4.6878 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5771 loss: 1.5771 2022/08/03 14:59:27 - mmengine - INFO - Epoch(train) [26][1220/1879] lr: 1.0000e-02 eta: 2 days, 3:30:47 time: 0.4467 data_time: 0.0160 memory: 17087 grad_norm: 4.6932 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0031 loss: 2.0031 2022/08/03 14:59:36 - mmengine - INFO - Epoch(train) [26][1240/1879] lr: 1.0000e-02 eta: 2 days, 3:30:38 time: 0.4235 data_time: 0.0151 memory: 17087 grad_norm: 4.7347 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6910 loss: 1.6910 2022/08/03 14:59:44 - mmengine - INFO - Epoch(train) [26][1260/1879] lr: 1.0000e-02 eta: 2 days, 3:30:28 time: 0.4238 data_time: 0.0144 memory: 17087 grad_norm: 4.8500 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6904 loss: 1.6904 2022/08/03 14:59:53 - mmengine - INFO - Epoch(train) [26][1280/1879] lr: 1.0000e-02 eta: 2 days, 3:30:24 time: 0.4501 data_time: 0.0157 memory: 17087 grad_norm: 4.8475 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9197 loss: 1.9197 2022/08/03 15:00:02 - mmengine - INFO - Epoch(train) [26][1300/1879] lr: 1.0000e-02 eta: 2 days, 3:30:14 time: 0.4245 data_time: 0.0142 memory: 17087 grad_norm: 4.6950 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8784 loss: 1.8784 2022/08/03 15:00:11 - mmengine - INFO - Epoch(train) [26][1320/1879] lr: 1.0000e-02 eta: 2 days, 3:30:09 time: 0.4459 data_time: 0.0185 memory: 17087 grad_norm: 4.9621 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 2.0075 loss: 2.0075 2022/08/03 15:00:19 - mmengine - INFO - Epoch(train) [26][1340/1879] lr: 1.0000e-02 eta: 2 days, 3:30:00 time: 0.4286 data_time: 0.0203 memory: 17087 grad_norm: 4.9153 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7824 loss: 1.7824 2022/08/03 15:00:29 - mmengine - INFO - Epoch(train) [26][1360/1879] lr: 1.0000e-02 eta: 2 days, 3:29:56 time: 0.4546 data_time: 0.0157 memory: 17087 grad_norm: 4.8430 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.7780 loss: 1.7780 2022/08/03 15:00:37 - mmengine - INFO - Epoch(train) [26][1380/1879] lr: 1.0000e-02 eta: 2 days, 3:29:47 time: 0.4237 data_time: 0.0151 memory: 17087 grad_norm: 4.7204 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7604 loss: 1.7604 2022/08/03 15:00:46 - mmengine - INFO - Epoch(train) [26][1400/1879] lr: 1.0000e-02 eta: 2 days, 3:29:38 time: 0.4280 data_time: 0.0211 memory: 17087 grad_norm: 4.7143 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7588 loss: 1.7588 2022/08/03 15:00:54 - mmengine - INFO - Epoch(train) [26][1420/1879] lr: 1.0000e-02 eta: 2 days, 3:29:29 time: 0.4253 data_time: 0.0154 memory: 17087 grad_norm: 4.7688 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7679 loss: 1.7679 2022/08/03 15:01:03 - mmengine - INFO - Epoch(train) [26][1440/1879] lr: 1.0000e-02 eta: 2 days, 3:29:20 time: 0.4249 data_time: 0.0168 memory: 17087 grad_norm: 4.8642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9188 loss: 1.9188 2022/08/03 15:01:11 - mmengine - INFO - Epoch(train) [26][1460/1879] lr: 1.0000e-02 eta: 2 days, 3:29:11 time: 0.4287 data_time: 0.0151 memory: 17087 grad_norm: 4.6988 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5750 loss: 1.5750 2022/08/03 15:01:20 - mmengine - INFO - Epoch(train) [26][1480/1879] lr: 1.0000e-02 eta: 2 days, 3:29:02 time: 0.4262 data_time: 0.0153 memory: 17087 grad_norm: 4.8556 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8379 loss: 1.8379 2022/08/03 15:01:28 - mmengine - INFO - Epoch(train) [26][1500/1879] lr: 1.0000e-02 eta: 2 days, 3:28:54 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 4.8923 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8427 loss: 1.8427 2022/08/03 15:01:37 - mmengine - INFO - Epoch(train) [26][1520/1879] lr: 1.0000e-02 eta: 2 days, 3:28:45 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 4.9638 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7452 loss: 1.7452 2022/08/03 15:01:45 - mmengine - INFO - Epoch(train) [26][1540/1879] lr: 1.0000e-02 eta: 2 days, 3:28:36 time: 0.4246 data_time: 0.0150 memory: 17087 grad_norm: 4.8629 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8633 loss: 1.8633 2022/08/03 15:01:54 - mmengine - INFO - Epoch(train) [26][1560/1879] lr: 1.0000e-02 eta: 2 days, 3:28:30 time: 0.4460 data_time: 0.0157 memory: 17087 grad_norm: 4.7974 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8912 loss: 1.8912 2022/08/03 15:02:03 - mmengine - INFO - Epoch(train) [26][1580/1879] lr: 1.0000e-02 eta: 2 days, 3:28:21 time: 0.4250 data_time: 0.0163 memory: 17087 grad_norm: 4.8077 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9065 loss: 1.9065 2022/08/03 15:02:12 - mmengine - INFO - Epoch(train) [26][1600/1879] lr: 1.0000e-02 eta: 2 days, 3:28:17 time: 0.4535 data_time: 0.0171 memory: 17087 grad_norm: 4.7721 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8039 loss: 1.8039 2022/08/03 15:02:20 - mmengine - INFO - Epoch(train) [26][1620/1879] lr: 1.0000e-02 eta: 2 days, 3:28:08 time: 0.4257 data_time: 0.0138 memory: 17087 grad_norm: 4.7959 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6685 loss: 1.6685 2022/08/03 15:02:29 - mmengine - INFO - Epoch(train) [26][1640/1879] lr: 1.0000e-02 eta: 2 days, 3:28:04 time: 0.4567 data_time: 0.0169 memory: 17087 grad_norm: 4.7490 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8933 loss: 1.8933 2022/08/03 15:02:38 - mmengine - INFO - Epoch(train) [26][1660/1879] lr: 1.0000e-02 eta: 2 days, 3:27:56 time: 0.4282 data_time: 0.0146 memory: 17087 grad_norm: 4.7035 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8253 loss: 1.8253 2022/08/03 15:02:47 - mmengine - INFO - Epoch(train) [26][1680/1879] lr: 1.0000e-02 eta: 2 days, 3:27:47 time: 0.4259 data_time: 0.0186 memory: 17087 grad_norm: 4.7633 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6053 loss: 1.6053 2022/08/03 15:02:55 - mmengine - INFO - Epoch(train) [26][1700/1879] lr: 1.0000e-02 eta: 2 days, 3:27:38 time: 0.4257 data_time: 0.0147 memory: 17087 grad_norm: 4.6478 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6756 loss: 1.6756 2022/08/03 15:03:04 - mmengine - INFO - Epoch(train) [26][1720/1879] lr: 1.0000e-02 eta: 2 days, 3:27:29 time: 0.4250 data_time: 0.0167 memory: 17087 grad_norm: 4.7355 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7419 loss: 1.7419 2022/08/03 15:03:13 - mmengine - INFO - Epoch(train) [26][1740/1879] lr: 1.0000e-02 eta: 2 days, 3:27:24 time: 0.4495 data_time: 0.0155 memory: 17087 grad_norm: 4.7757 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6673 loss: 1.6673 2022/08/03 15:03:21 - mmengine - INFO - Epoch(train) [26][1760/1879] lr: 1.0000e-02 eta: 2 days, 3:27:15 time: 0.4295 data_time: 0.0208 memory: 17087 grad_norm: 4.7038 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7065 loss: 1.7065 2022/08/03 15:03:30 - mmengine - INFO - Epoch(train) [26][1780/1879] lr: 1.0000e-02 eta: 2 days, 3:27:06 time: 0.4260 data_time: 0.0134 memory: 17087 grad_norm: 4.7994 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7687 loss: 1.7687 2022/08/03 15:03:41 - mmengine - INFO - Epoch(train) [26][1800/1879] lr: 1.0000e-02 eta: 2 days, 3:27:22 time: 0.5636 data_time: 0.1507 memory: 17087 grad_norm: 4.7219 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7750 loss: 1.7750 2022/08/03 15:03:49 - mmengine - INFO - Epoch(train) [26][1820/1879] lr: 1.0000e-02 eta: 2 days, 3:27:12 time: 0.4249 data_time: 0.0176 memory: 17087 grad_norm: 4.7880 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6469 loss: 1.6469 2022/08/03 15:03:58 - mmengine - INFO - Epoch(train) [26][1840/1879] lr: 1.0000e-02 eta: 2 days, 3:27:04 time: 0.4297 data_time: 0.0168 memory: 17087 grad_norm: 4.8511 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8888 loss: 1.8888 2022/08/03 15:04:07 - mmengine - INFO - Epoch(train) [26][1860/1879] lr: 1.0000e-02 eta: 2 days, 3:26:55 time: 0.4261 data_time: 0.0164 memory: 17087 grad_norm: 4.8083 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7535 loss: 1.7535 2022/08/03 15:04:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:04:14 - mmengine - INFO - Epoch(train) [26][1879/1879] lr: 1.0000e-02 eta: 2 days, 3:26:55 time: 0.4071 data_time: 0.0136 memory: 17087 grad_norm: 4.8677 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.4843 loss: 1.4843 2022/08/03 15:04:26 - mmengine - INFO - Epoch(train) [27][20/1879] lr: 1.0000e-02 eta: 2 days, 3:25:50 time: 0.5627 data_time: 0.1037 memory: 17087 grad_norm: 4.5987 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5749 loss: 1.5749 2022/08/03 15:04:34 - mmengine - INFO - Epoch(train) [27][40/1879] lr: 1.0000e-02 eta: 2 days, 3:25:43 time: 0.4364 data_time: 0.0146 memory: 17087 grad_norm: 4.7639 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8325 loss: 1.8325 2022/08/03 15:04:43 - mmengine - INFO - Epoch(train) [27][60/1879] lr: 1.0000e-02 eta: 2 days, 3:25:35 time: 0.4293 data_time: 0.0160 memory: 17087 grad_norm: 4.6984 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9419 loss: 1.9419 2022/08/03 15:04:51 - mmengine - INFO - Epoch(train) [27][80/1879] lr: 1.0000e-02 eta: 2 days, 3:25:25 time: 0.4237 data_time: 0.0147 memory: 17087 grad_norm: 4.7045 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6897 loss: 1.6897 2022/08/03 15:05:00 - mmengine - INFO - Epoch(train) [27][100/1879] lr: 1.0000e-02 eta: 2 days, 3:25:17 time: 0.4297 data_time: 0.0158 memory: 17087 grad_norm: 4.7350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6420 loss: 1.6420 2022/08/03 15:05:09 - mmengine - INFO - Epoch(train) [27][120/1879] lr: 1.0000e-02 eta: 2 days, 3:25:08 time: 0.4253 data_time: 0.0160 memory: 17087 grad_norm: 4.6950 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8000 loss: 1.8000 2022/08/03 15:05:17 - mmengine - INFO - Epoch(train) [27][140/1879] lr: 1.0000e-02 eta: 2 days, 3:24:59 time: 0.4272 data_time: 0.0150 memory: 17087 grad_norm: 4.7046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8272 loss: 1.8272 2022/08/03 15:05:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:05:26 - mmengine - INFO - Epoch(train) [27][160/1879] lr: 1.0000e-02 eta: 2 days, 3:24:50 time: 0.4284 data_time: 0.0153 memory: 17087 grad_norm: 4.7782 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9777 loss: 1.9777 2022/08/03 15:05:34 - mmengine - INFO - Epoch(train) [27][180/1879] lr: 1.0000e-02 eta: 2 days, 3:24:42 time: 0.4274 data_time: 0.0157 memory: 17087 grad_norm: 4.6968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6082 loss: 1.6082 2022/08/03 15:05:43 - mmengine - INFO - Epoch(train) [27][200/1879] lr: 1.0000e-02 eta: 2 days, 3:24:32 time: 0.4245 data_time: 0.0144 memory: 17087 grad_norm: 4.9056 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9378 loss: 1.9378 2022/08/03 15:05:52 - mmengine - INFO - Epoch(train) [27][220/1879] lr: 1.0000e-02 eta: 2 days, 3:24:28 time: 0.4519 data_time: 0.0168 memory: 17087 grad_norm: 4.8833 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.9439 loss: 1.9439 2022/08/03 15:06:00 - mmengine - INFO - Epoch(train) [27][240/1879] lr: 1.0000e-02 eta: 2 days, 3:24:18 time: 0.4238 data_time: 0.0154 memory: 17087 grad_norm: 4.8005 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6752 loss: 1.6752 2022/08/03 15:06:09 - mmengine - INFO - Epoch(train) [27][260/1879] lr: 1.0000e-02 eta: 2 days, 3:24:09 time: 0.4254 data_time: 0.0160 memory: 17087 grad_norm: 4.8921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 2.0979 loss: 2.0979 2022/08/03 15:06:17 - mmengine - INFO - Epoch(train) [27][280/1879] lr: 1.0000e-02 eta: 2 days, 3:24:01 time: 0.4273 data_time: 0.0148 memory: 17087 grad_norm: 4.7762 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7340 loss: 1.7340 2022/08/03 15:06:26 - mmengine - INFO - Epoch(train) [27][300/1879] lr: 1.0000e-02 eta: 2 days, 3:23:51 time: 0.4243 data_time: 0.0147 memory: 17087 grad_norm: 4.7886 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8030 loss: 1.8030 2022/08/03 15:06:34 - mmengine - INFO - Epoch(train) [27][320/1879] lr: 1.0000e-02 eta: 2 days, 3:23:43 time: 0.4293 data_time: 0.0156 memory: 17087 grad_norm: 4.6981 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8728 loss: 1.8728 2022/08/03 15:06:43 - mmengine - INFO - Epoch(train) [27][340/1879] lr: 1.0000e-02 eta: 2 days, 3:23:34 time: 0.4273 data_time: 0.0156 memory: 17087 grad_norm: 4.7795 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8500 loss: 1.8500 2022/08/03 15:06:51 - mmengine - INFO - Epoch(train) [27][360/1879] lr: 1.0000e-02 eta: 2 days, 3:23:25 time: 0.4250 data_time: 0.0154 memory: 17087 grad_norm: 4.6888 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7441 loss: 1.7441 2022/08/03 15:07:00 - mmengine - INFO - Epoch(train) [27][380/1879] lr: 1.0000e-02 eta: 2 days, 3:23:16 time: 0.4259 data_time: 0.0166 memory: 17087 grad_norm: 4.6383 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5838 loss: 1.5838 2022/08/03 15:07:09 - mmengine - INFO - Epoch(train) [27][400/1879] lr: 1.0000e-02 eta: 2 days, 3:23:07 time: 0.4261 data_time: 0.0158 memory: 17087 grad_norm: 4.7468 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7344 loss: 1.7344 2022/08/03 15:07:17 - mmengine - INFO - Epoch(train) [27][420/1879] lr: 1.0000e-02 eta: 2 days, 3:22:58 time: 0.4237 data_time: 0.0147 memory: 17087 grad_norm: 4.8492 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7174 loss: 1.7174 2022/08/03 15:07:26 - mmengine - INFO - Epoch(train) [27][440/1879] lr: 1.0000e-02 eta: 2 days, 3:22:49 time: 0.4270 data_time: 0.0163 memory: 17087 grad_norm: 4.8297 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9624 loss: 1.9624 2022/08/03 15:07:34 - mmengine - INFO - Epoch(train) [27][460/1879] lr: 1.0000e-02 eta: 2 days, 3:22:39 time: 0.4236 data_time: 0.0146 memory: 17087 grad_norm: 4.7317 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5481 loss: 1.5481 2022/08/03 15:07:43 - mmengine - INFO - Epoch(train) [27][480/1879] lr: 1.0000e-02 eta: 2 days, 3:22:31 time: 0.4278 data_time: 0.0154 memory: 17087 grad_norm: 4.9056 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7339 loss: 1.7339 2022/08/03 15:07:51 - mmengine - INFO - Epoch(train) [27][500/1879] lr: 1.0000e-02 eta: 2 days, 3:22:21 time: 0.4245 data_time: 0.0149 memory: 17087 grad_norm: 4.8917 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6867 loss: 1.6867 2022/08/03 15:08:00 - mmengine - INFO - Epoch(train) [27][520/1879] lr: 1.0000e-02 eta: 2 days, 3:22:13 time: 0.4276 data_time: 0.0160 memory: 17087 grad_norm: 4.6618 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6696 loss: 1.6696 2022/08/03 15:08:08 - mmengine - INFO - Epoch(train) [27][540/1879] lr: 1.0000e-02 eta: 2 days, 3:22:03 time: 0.4252 data_time: 0.0147 memory: 17087 grad_norm: 4.6654 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8256 loss: 1.8256 2022/08/03 15:08:17 - mmengine - INFO - Epoch(train) [27][560/1879] lr: 1.0000e-02 eta: 2 days, 3:21:54 time: 0.4258 data_time: 0.0149 memory: 17087 grad_norm: 4.7675 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8803 loss: 1.8803 2022/08/03 15:08:25 - mmengine - INFO - Epoch(train) [27][580/1879] lr: 1.0000e-02 eta: 2 days, 3:21:46 time: 0.4275 data_time: 0.0165 memory: 17087 grad_norm: 4.6017 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8083 loss: 1.8083 2022/08/03 15:08:34 - mmengine - INFO - Epoch(train) [27][600/1879] lr: 1.0000e-02 eta: 2 days, 3:21:37 time: 0.4257 data_time: 0.0155 memory: 17087 grad_norm: 4.6440 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6758 loss: 1.6758 2022/08/03 15:08:42 - mmengine - INFO - Epoch(train) [27][620/1879] lr: 1.0000e-02 eta: 2 days, 3:21:28 time: 0.4259 data_time: 0.0136 memory: 17087 grad_norm: 4.7425 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8615 loss: 1.8615 2022/08/03 15:08:51 - mmengine - INFO - Epoch(train) [27][640/1879] lr: 1.0000e-02 eta: 2 days, 3:21:19 time: 0.4295 data_time: 0.0153 memory: 17087 grad_norm: 4.7536 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6285 loss: 1.6285 2022/08/03 15:08:59 - mmengine - INFO - Epoch(train) [27][660/1879] lr: 1.0000e-02 eta: 2 days, 3:21:11 time: 0.4296 data_time: 0.0186 memory: 17087 grad_norm: 4.9460 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6278 loss: 1.6278 2022/08/03 15:09:08 - mmengine - INFO - Epoch(train) [27][680/1879] lr: 1.0000e-02 eta: 2 days, 3:21:02 time: 0.4241 data_time: 0.0179 memory: 17087 grad_norm: 4.6979 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8238 loss: 1.8238 2022/08/03 15:09:16 - mmengine - INFO - Epoch(train) [27][700/1879] lr: 1.0000e-02 eta: 2 days, 3:20:53 time: 0.4270 data_time: 0.0152 memory: 17087 grad_norm: 4.8522 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7383 loss: 1.7383 2022/08/03 15:09:25 - mmengine - INFO - Epoch(train) [27][720/1879] lr: 1.0000e-02 eta: 2 days, 3:20:44 time: 0.4247 data_time: 0.0150 memory: 17087 grad_norm: 4.7051 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 2.0171 loss: 2.0171 2022/08/03 15:09:34 - mmengine - INFO - Epoch(train) [27][740/1879] lr: 1.0000e-02 eta: 2 days, 3:20:36 time: 0.4361 data_time: 0.0153 memory: 17087 grad_norm: 4.8311 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9929 loss: 1.9929 2022/08/03 15:09:42 - mmengine - INFO - Epoch(train) [27][760/1879] lr: 1.0000e-02 eta: 2 days, 3:20:28 time: 0.4294 data_time: 0.0164 memory: 17087 grad_norm: 4.7070 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7112 loss: 1.7112 2022/08/03 15:09:51 - mmengine - INFO - Epoch(train) [27][780/1879] lr: 1.0000e-02 eta: 2 days, 3:20:18 time: 0.4229 data_time: 0.0148 memory: 17087 grad_norm: 4.7365 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8746 loss: 1.8746 2022/08/03 15:10:00 - mmengine - INFO - Epoch(train) [27][800/1879] lr: 1.0000e-02 eta: 2 days, 3:20:14 time: 0.4521 data_time: 0.0166 memory: 17087 grad_norm: 4.7869 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6201 loss: 1.6201 2022/08/03 15:10:08 - mmengine - INFO - Epoch(train) [27][820/1879] lr: 1.0000e-02 eta: 2 days, 3:20:04 time: 0.4233 data_time: 0.0144 memory: 17087 grad_norm: 4.6185 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6617 loss: 1.6617 2022/08/03 15:10:17 - mmengine - INFO - Epoch(train) [27][840/1879] lr: 1.0000e-02 eta: 2 days, 3:19:56 time: 0.4303 data_time: 0.0169 memory: 17087 grad_norm: 4.7912 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8812 loss: 1.8812 2022/08/03 15:10:25 - mmengine - INFO - Epoch(train) [27][860/1879] lr: 1.0000e-02 eta: 2 days, 3:19:47 time: 0.4250 data_time: 0.0140 memory: 17087 grad_norm: 4.6380 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8533 loss: 1.8533 2022/08/03 15:10:35 - mmengine - INFO - Epoch(train) [27][880/1879] lr: 1.0000e-02 eta: 2 days, 3:19:45 time: 0.4641 data_time: 0.0158 memory: 17087 grad_norm: 4.6216 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8207 loss: 1.8207 2022/08/03 15:10:43 - mmengine - INFO - Epoch(train) [27][900/1879] lr: 1.0000e-02 eta: 2 days, 3:19:35 time: 0.4221 data_time: 0.0140 memory: 17087 grad_norm: 4.5743 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6991 loss: 1.6991 2022/08/03 15:10:52 - mmengine - INFO - Epoch(train) [27][920/1879] lr: 1.0000e-02 eta: 2 days, 3:19:27 time: 0.4293 data_time: 0.0178 memory: 17087 grad_norm: 4.7764 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9492 loss: 1.9492 2022/08/03 15:11:00 - mmengine - INFO - Epoch(train) [27][940/1879] lr: 1.0000e-02 eta: 2 days, 3:19:19 time: 0.4322 data_time: 0.0148 memory: 17087 grad_norm: 4.7951 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8358 loss: 1.8358 2022/08/03 15:11:09 - mmengine - INFO - Epoch(train) [27][960/1879] lr: 1.0000e-02 eta: 2 days, 3:19:10 time: 0.4250 data_time: 0.0163 memory: 17087 grad_norm: 4.8016 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8565 loss: 1.8565 2022/08/03 15:11:18 - mmengine - INFO - Epoch(train) [27][980/1879] lr: 1.0000e-02 eta: 2 days, 3:19:04 time: 0.4464 data_time: 0.0206 memory: 17087 grad_norm: 4.7626 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8416 loss: 1.8416 2022/08/03 15:11:26 - mmengine - INFO - Epoch(train) [27][1000/1879] lr: 1.0000e-02 eta: 2 days, 3:18:55 time: 0.4256 data_time: 0.0162 memory: 17087 grad_norm: 4.8889 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8635 loss: 1.8635 2022/08/03 15:11:35 - mmengine - INFO - Epoch(train) [27][1020/1879] lr: 1.0000e-02 eta: 2 days, 3:18:47 time: 0.4296 data_time: 0.0159 memory: 17087 grad_norm: 4.7802 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6614 loss: 1.6614 2022/08/03 15:11:43 - mmengine - INFO - Epoch(train) [27][1040/1879] lr: 1.0000e-02 eta: 2 days, 3:18:37 time: 0.4234 data_time: 0.0155 memory: 17087 grad_norm: 4.8092 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8726 loss: 1.8726 2022/08/03 15:11:52 - mmengine - INFO - Epoch(train) [27][1060/1879] lr: 1.0000e-02 eta: 2 days, 3:18:28 time: 0.4269 data_time: 0.0155 memory: 17087 grad_norm: 4.6959 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7484 loss: 1.7484 2022/08/03 15:12:00 - mmengine - INFO - Epoch(train) [27][1080/1879] lr: 1.0000e-02 eta: 2 days, 3:18:19 time: 0.4233 data_time: 0.0147 memory: 17087 grad_norm: 4.7859 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7268 loss: 1.7268 2022/08/03 15:12:09 - mmengine - INFO - Epoch(train) [27][1100/1879] lr: 1.0000e-02 eta: 2 days, 3:18:15 time: 0.4535 data_time: 0.0186 memory: 17087 grad_norm: 4.8280 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8036 loss: 1.8036 2022/08/03 15:12:18 - mmengine - INFO - Epoch(train) [27][1120/1879] lr: 1.0000e-02 eta: 2 days, 3:18:05 time: 0.4244 data_time: 0.0157 memory: 17087 grad_norm: 4.8256 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9202 loss: 1.9202 2022/08/03 15:12:26 - mmengine - INFO - Epoch(train) [27][1140/1879] lr: 1.0000e-02 eta: 2 days, 3:17:56 time: 0.4214 data_time: 0.0127 memory: 17087 grad_norm: 4.8447 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9201 loss: 1.9201 2022/08/03 15:12:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:12:35 - mmengine - INFO - Epoch(train) [27][1160/1879] lr: 1.0000e-02 eta: 2 days, 3:17:48 time: 0.4334 data_time: 0.0173 memory: 17087 grad_norm: 4.8982 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8829 loss: 1.8829 2022/08/03 15:12:44 - mmengine - INFO - Epoch(train) [27][1180/1879] lr: 1.0000e-02 eta: 2 days, 3:17:39 time: 0.4278 data_time: 0.0160 memory: 17087 grad_norm: 4.9762 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8434 loss: 1.8434 2022/08/03 15:12:53 - mmengine - INFO - Epoch(train) [27][1200/1879] lr: 1.0000e-02 eta: 2 days, 3:17:33 time: 0.4433 data_time: 0.0148 memory: 17087 grad_norm: 4.8432 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7922 loss: 1.7922 2022/08/03 15:13:01 - mmengine - INFO - Epoch(train) [27][1220/1879] lr: 1.0000e-02 eta: 2 days, 3:17:26 time: 0.4363 data_time: 0.0229 memory: 17087 grad_norm: 4.8767 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8365 loss: 1.8365 2022/08/03 15:13:10 - mmengine - INFO - Epoch(train) [27][1240/1879] lr: 1.0000e-02 eta: 2 days, 3:17:17 time: 0.4246 data_time: 0.0169 memory: 17087 grad_norm: 4.7652 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7667 loss: 1.7667 2022/08/03 15:13:18 - mmengine - INFO - Epoch(train) [27][1260/1879] lr: 1.0000e-02 eta: 2 days, 3:17:08 time: 0.4256 data_time: 0.0134 memory: 17087 grad_norm: 4.8604 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7082 loss: 1.7082 2022/08/03 15:13:27 - mmengine - INFO - Epoch(train) [27][1280/1879] lr: 1.0000e-02 eta: 2 days, 3:16:59 time: 0.4254 data_time: 0.0152 memory: 17087 grad_norm: 4.8144 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7236 loss: 1.7236 2022/08/03 15:13:35 - mmengine - INFO - Epoch(train) [27][1300/1879] lr: 1.0000e-02 eta: 2 days, 3:16:50 time: 0.4285 data_time: 0.0187 memory: 17087 grad_norm: 4.8638 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7391 loss: 1.7391 2022/08/03 15:13:44 - mmengine - INFO - Epoch(train) [27][1320/1879] lr: 1.0000e-02 eta: 2 days, 3:16:43 time: 0.4359 data_time: 0.0149 memory: 17087 grad_norm: 4.7646 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7470 loss: 1.7470 2022/08/03 15:13:53 - mmengine - INFO - Epoch(train) [27][1340/1879] lr: 1.0000e-02 eta: 2 days, 3:16:34 time: 0.4299 data_time: 0.0192 memory: 17087 grad_norm: 4.8085 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6603 loss: 1.6603 2022/08/03 15:14:02 - mmengine - INFO - Epoch(train) [27][1360/1879] lr: 1.0000e-02 eta: 2 days, 3:16:29 time: 0.4476 data_time: 0.0163 memory: 17087 grad_norm: 4.7082 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7322 loss: 1.7322 2022/08/03 15:14:10 - mmengine - INFO - Epoch(train) [27][1380/1879] lr: 1.0000e-02 eta: 2 days, 3:16:20 time: 0.4242 data_time: 0.0145 memory: 17087 grad_norm: 4.8116 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5955 loss: 1.5955 2022/08/03 15:14:19 - mmengine - INFO - Epoch(train) [27][1400/1879] lr: 1.0000e-02 eta: 2 days, 3:16:12 time: 0.4333 data_time: 0.0176 memory: 17087 grad_norm: 4.8828 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8738 loss: 1.8738 2022/08/03 15:14:27 - mmengine - INFO - Epoch(train) [27][1420/1879] lr: 1.0000e-02 eta: 2 days, 3:16:02 time: 0.4224 data_time: 0.0165 memory: 17087 grad_norm: 4.6858 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8740 loss: 1.8740 2022/08/03 15:14:36 - mmengine - INFO - Epoch(train) [27][1440/1879] lr: 1.0000e-02 eta: 2 days, 3:15:53 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 4.6854 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8442 loss: 1.8442 2022/08/03 15:14:44 - mmengine - INFO - Epoch(train) [27][1460/1879] lr: 1.0000e-02 eta: 2 days, 3:15:45 time: 0.4319 data_time: 0.0155 memory: 17087 grad_norm: 4.7780 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7588 loss: 1.7588 2022/08/03 15:14:53 - mmengine - INFO - Epoch(train) [27][1480/1879] lr: 1.0000e-02 eta: 2 days, 3:15:36 time: 0.4239 data_time: 0.0150 memory: 17087 grad_norm: 4.7439 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9936 loss: 1.9936 2022/08/03 15:15:01 - mmengine - INFO - Epoch(train) [27][1500/1879] lr: 1.0000e-02 eta: 2 days, 3:15:27 time: 0.4252 data_time: 0.0169 memory: 17087 grad_norm: 4.8751 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7450 loss: 1.7450 2022/08/03 15:15:10 - mmengine - INFO - Epoch(train) [27][1520/1879] lr: 1.0000e-02 eta: 2 days, 3:15:18 time: 0.4270 data_time: 0.0164 memory: 17087 grad_norm: 4.7438 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7744 loss: 1.7744 2022/08/03 15:15:19 - mmengine - INFO - Epoch(train) [27][1540/1879] lr: 1.0000e-02 eta: 2 days, 3:15:13 time: 0.4458 data_time: 0.0161 memory: 17087 grad_norm: 4.7389 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8911 loss: 1.8911 2022/08/03 15:15:27 - mmengine - INFO - Epoch(train) [27][1560/1879] lr: 1.0000e-02 eta: 2 days, 3:15:03 time: 0.4231 data_time: 0.0152 memory: 17087 grad_norm: 4.6915 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7046 loss: 1.7046 2022/08/03 15:15:36 - mmengine - INFO - Epoch(train) [27][1580/1879] lr: 1.0000e-02 eta: 2 days, 3:14:55 time: 0.4295 data_time: 0.0151 memory: 17087 grad_norm: 4.7598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9188 loss: 1.9188 2022/08/03 15:15:45 - mmengine - INFO - Epoch(train) [27][1600/1879] lr: 1.0000e-02 eta: 2 days, 3:14:47 time: 0.4316 data_time: 0.0168 memory: 17087 grad_norm: 4.7425 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8484 loss: 1.8484 2022/08/03 15:15:53 - mmengine - INFO - Epoch(train) [27][1620/1879] lr: 1.0000e-02 eta: 2 days, 3:14:38 time: 0.4308 data_time: 0.0178 memory: 17087 grad_norm: 4.6660 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8583 loss: 1.8583 2022/08/03 15:16:02 - mmengine - INFO - Epoch(train) [27][1640/1879] lr: 1.0000e-02 eta: 2 days, 3:14:32 time: 0.4416 data_time: 0.0158 memory: 17087 grad_norm: 4.6489 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7230 loss: 1.7230 2022/08/03 15:16:10 - mmengine - INFO - Epoch(train) [27][1660/1879] lr: 1.0000e-02 eta: 2 days, 3:14:23 time: 0.4257 data_time: 0.0183 memory: 17087 grad_norm: 4.7914 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8831 loss: 1.8831 2022/08/03 15:16:19 - mmengine - INFO - Epoch(train) [27][1680/1879] lr: 1.0000e-02 eta: 2 days, 3:14:17 time: 0.4447 data_time: 0.0156 memory: 17087 grad_norm: 4.6661 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7873 loss: 1.7873 2022/08/03 15:16:28 - mmengine - INFO - Epoch(train) [27][1700/1879] lr: 1.0000e-02 eta: 2 days, 3:14:08 time: 0.4234 data_time: 0.0144 memory: 17087 grad_norm: 4.8938 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6214 loss: 1.6214 2022/08/03 15:16:37 - mmengine - INFO - Epoch(train) [27][1720/1879] lr: 1.0000e-02 eta: 2 days, 3:14:00 time: 0.4337 data_time: 0.0162 memory: 17087 grad_norm: 4.7782 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7788 loss: 1.7788 2022/08/03 15:16:45 - mmengine - INFO - Epoch(train) [27][1740/1879] lr: 1.0000e-02 eta: 2 days, 3:13:51 time: 0.4251 data_time: 0.0155 memory: 17087 grad_norm: 4.7131 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8297 loss: 1.8297 2022/08/03 15:16:54 - mmengine - INFO - Epoch(train) [27][1760/1879] lr: 1.0000e-02 eta: 2 days, 3:13:45 time: 0.4435 data_time: 0.0163 memory: 17087 grad_norm: 4.6793 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9029 loss: 1.9029 2022/08/03 15:17:02 - mmengine - INFO - Epoch(train) [27][1780/1879] lr: 1.0000e-02 eta: 2 days, 3:13:36 time: 0.4241 data_time: 0.0176 memory: 17087 grad_norm: 4.8082 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7666 loss: 1.7666 2022/08/03 15:17:11 - mmengine - INFO - Epoch(train) [27][1800/1879] lr: 1.0000e-02 eta: 2 days, 3:13:27 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 4.8529 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.8676 loss: 1.8676 2022/08/03 15:17:20 - mmengine - INFO - Epoch(train) [27][1820/1879] lr: 1.0000e-02 eta: 2 days, 3:13:19 time: 0.4305 data_time: 0.0166 memory: 17087 grad_norm: 4.7171 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7619 loss: 1.7619 2022/08/03 15:17:28 - mmengine - INFO - Epoch(train) [27][1840/1879] lr: 1.0000e-02 eta: 2 days, 3:13:09 time: 0.4249 data_time: 0.0156 memory: 17087 grad_norm: 4.7549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9267 loss: 1.9267 2022/08/03 15:17:37 - mmengine - INFO - Epoch(train) [27][1860/1879] lr: 1.0000e-02 eta: 2 days, 3:13:00 time: 0.4240 data_time: 0.0140 memory: 17087 grad_norm: 4.8513 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 2.0353 loss: 2.0353 2022/08/03 15:17:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:17:44 - mmengine - INFO - Epoch(train) [27][1879/1879] lr: 1.0000e-02 eta: 2 days, 3:13:00 time: 0.4160 data_time: 0.0146 memory: 17087 grad_norm: 4.9048 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 2.0749 loss: 2.0749 2022/08/03 15:17:56 - mmengine - INFO - Epoch(train) [28][20/1879] lr: 1.0000e-02 eta: 2 days, 3:11:58 time: 0.5700 data_time: 0.1197 memory: 17087 grad_norm: 4.7948 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8167 loss: 1.8167 2022/08/03 15:18:04 - mmengine - INFO - Epoch(train) [28][40/1879] lr: 1.0000e-02 eta: 2 days, 3:11:50 time: 0.4305 data_time: 0.0167 memory: 17087 grad_norm: 4.7921 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7132 loss: 1.7132 2022/08/03 15:18:13 - mmengine - INFO - Epoch(train) [28][60/1879] lr: 1.0000e-02 eta: 2 days, 3:11:41 time: 0.4250 data_time: 0.0145 memory: 17087 grad_norm: 4.7051 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6888 loss: 1.6888 2022/08/03 15:18:22 - mmengine - INFO - Epoch(train) [28][80/1879] lr: 1.0000e-02 eta: 2 days, 3:11:33 time: 0.4297 data_time: 0.0165 memory: 17087 grad_norm: 4.7387 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8020 loss: 1.8020 2022/08/03 15:18:30 - mmengine - INFO - Epoch(train) [28][100/1879] lr: 1.0000e-02 eta: 2 days, 3:11:23 time: 0.4221 data_time: 0.0130 memory: 17087 grad_norm: 4.7348 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9877 loss: 1.9877 2022/08/03 15:18:39 - mmengine - INFO - Epoch(train) [28][120/1879] lr: 1.0000e-02 eta: 2 days, 3:11:14 time: 0.4286 data_time: 0.0166 memory: 17087 grad_norm: 4.5931 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6885 loss: 1.6885 2022/08/03 15:18:47 - mmengine - INFO - Epoch(train) [28][140/1879] lr: 1.0000e-02 eta: 2 days, 3:11:05 time: 0.4224 data_time: 0.0132 memory: 17087 grad_norm: 4.9337 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6703 loss: 1.6703 2022/08/03 15:18:56 - mmengine - INFO - Epoch(train) [28][160/1879] lr: 1.0000e-02 eta: 2 days, 3:10:56 time: 0.4250 data_time: 0.0150 memory: 17087 grad_norm: 4.8584 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8875 loss: 1.8875 2022/08/03 15:19:04 - mmengine - INFO - Epoch(train) [28][180/1879] lr: 1.0000e-02 eta: 2 days, 3:10:49 time: 0.4398 data_time: 0.0162 memory: 17087 grad_norm: 4.7426 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6841 loss: 1.6841 2022/08/03 15:19:13 - mmengine - INFO - Epoch(train) [28][200/1879] lr: 1.0000e-02 eta: 2 days, 3:10:40 time: 0.4246 data_time: 0.0160 memory: 17087 grad_norm: 4.7415 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6267 loss: 1.6267 2022/08/03 15:19:22 - mmengine - INFO - Epoch(train) [28][220/1879] lr: 1.0000e-02 eta: 2 days, 3:10:32 time: 0.4344 data_time: 0.0151 memory: 17087 grad_norm: 4.7074 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8601 loss: 1.8601 2022/08/03 15:19:30 - mmengine - INFO - Epoch(train) [28][240/1879] lr: 1.0000e-02 eta: 2 days, 3:10:23 time: 0.4250 data_time: 0.0156 memory: 17087 grad_norm: 4.7965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8273 loss: 1.8273 2022/08/03 15:19:39 - mmengine - INFO - Epoch(train) [28][260/1879] lr: 1.0000e-02 eta: 2 days, 3:10:15 time: 0.4332 data_time: 0.0205 memory: 17087 grad_norm: 4.7780 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8620 loss: 1.8620 2022/08/03 15:19:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:19:47 - mmengine - INFO - Epoch(train) [28][280/1879] lr: 1.0000e-02 eta: 2 days, 3:10:06 time: 0.4265 data_time: 0.0158 memory: 17087 grad_norm: 4.6682 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6546 loss: 1.6546 2022/08/03 15:19:56 - mmengine - INFO - Epoch(train) [28][300/1879] lr: 1.0000e-02 eta: 2 days, 3:09:57 time: 0.4218 data_time: 0.0142 memory: 17087 grad_norm: 4.7894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8389 loss: 1.8389 2022/08/03 15:20:04 - mmengine - INFO - Epoch(train) [28][320/1879] lr: 1.0000e-02 eta: 2 days, 3:09:48 time: 0.4285 data_time: 0.0165 memory: 17087 grad_norm: 4.8568 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6990 loss: 1.6990 2022/08/03 15:20:13 - mmengine - INFO - Epoch(train) [28][340/1879] lr: 1.0000e-02 eta: 2 days, 3:09:39 time: 0.4249 data_time: 0.0169 memory: 17087 grad_norm: 4.8949 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9360 loss: 1.9360 2022/08/03 15:20:22 - mmengine - INFO - Epoch(train) [28][360/1879] lr: 1.0000e-02 eta: 2 days, 3:09:32 time: 0.4364 data_time: 0.0165 memory: 17087 grad_norm: 4.7653 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9018 loss: 1.9018 2022/08/03 15:20:30 - mmengine - INFO - Epoch(train) [28][380/1879] lr: 1.0000e-02 eta: 2 days, 3:09:23 time: 0.4254 data_time: 0.0148 memory: 17087 grad_norm: 4.7535 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7234 loss: 1.7234 2022/08/03 15:20:39 - mmengine - INFO - Epoch(train) [28][400/1879] lr: 1.0000e-02 eta: 2 days, 3:09:14 time: 0.4249 data_time: 0.0149 memory: 17087 grad_norm: 4.8780 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6962 loss: 1.6962 2022/08/03 15:20:47 - mmengine - INFO - Epoch(train) [28][420/1879] lr: 1.0000e-02 eta: 2 days, 3:09:05 time: 0.4283 data_time: 0.0173 memory: 17087 grad_norm: 4.7659 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9046 loss: 1.9046 2022/08/03 15:20:56 - mmengine - INFO - Epoch(train) [28][440/1879] lr: 1.0000e-02 eta: 2 days, 3:08:56 time: 0.4254 data_time: 0.0188 memory: 17087 grad_norm: 4.6012 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7345 loss: 1.7345 2022/08/03 15:21:05 - mmengine - INFO - Epoch(train) [28][460/1879] lr: 1.0000e-02 eta: 2 days, 3:08:53 time: 0.4596 data_time: 0.0178 memory: 17087 grad_norm: 4.8442 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8984 loss: 1.8984 2022/08/03 15:21:13 - mmengine - INFO - Epoch(train) [28][480/1879] lr: 1.0000e-02 eta: 2 days, 3:08:44 time: 0.4257 data_time: 0.0153 memory: 17087 grad_norm: 4.7990 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7554 loss: 1.7554 2022/08/03 15:21:22 - mmengine - INFO - Epoch(train) [28][500/1879] lr: 1.0000e-02 eta: 2 days, 3:08:36 time: 0.4319 data_time: 0.0159 memory: 17087 grad_norm: 4.7370 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7620 loss: 1.7620 2022/08/03 15:21:30 - mmengine - INFO - Epoch(train) [28][520/1879] lr: 1.0000e-02 eta: 2 days, 3:08:27 time: 0.4248 data_time: 0.0151 memory: 17087 grad_norm: 4.7275 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6411 loss: 1.6411 2022/08/03 15:21:39 - mmengine - INFO - Epoch(train) [28][540/1879] lr: 1.0000e-02 eta: 2 days, 3:08:20 time: 0.4414 data_time: 0.0139 memory: 17087 grad_norm: 4.8106 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8084 loss: 1.8084 2022/08/03 15:21:48 - mmengine - INFO - Epoch(train) [28][560/1879] lr: 1.0000e-02 eta: 2 days, 3:08:11 time: 0.4247 data_time: 0.0155 memory: 17087 grad_norm: 4.7060 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6118 loss: 1.6118 2022/08/03 15:21:56 - mmengine - INFO - Epoch(train) [28][580/1879] lr: 1.0000e-02 eta: 2 days, 3:08:03 time: 0.4292 data_time: 0.0148 memory: 17087 grad_norm: 4.7442 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7591 loss: 1.7591 2022/08/03 15:22:05 - mmengine - INFO - Epoch(train) [28][600/1879] lr: 1.0000e-02 eta: 2 days, 3:07:54 time: 0.4257 data_time: 0.0158 memory: 17087 grad_norm: 4.7860 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6381 loss: 1.6381 2022/08/03 15:22:14 - mmengine - INFO - Epoch(train) [28][620/1879] lr: 1.0000e-02 eta: 2 days, 3:07:48 time: 0.4445 data_time: 0.0149 memory: 17087 grad_norm: 4.8251 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7863 loss: 1.7863 2022/08/03 15:22:22 - mmengine - INFO - Epoch(train) [28][640/1879] lr: 1.0000e-02 eta: 2 days, 3:07:39 time: 0.4258 data_time: 0.0160 memory: 17087 grad_norm: 4.8226 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7059 loss: 1.7059 2022/08/03 15:22:31 - mmengine - INFO - Epoch(train) [28][660/1879] lr: 1.0000e-02 eta: 2 days, 3:07:30 time: 0.4291 data_time: 0.0154 memory: 17087 grad_norm: 4.7182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7680 loss: 1.7680 2022/08/03 15:22:39 - mmengine - INFO - Epoch(train) [28][680/1879] lr: 1.0000e-02 eta: 2 days, 3:07:22 time: 0.4294 data_time: 0.0153 memory: 17087 grad_norm: 4.7482 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6803 loss: 1.6803 2022/08/03 15:22:48 - mmengine - INFO - Epoch(train) [28][700/1879] lr: 1.0000e-02 eta: 2 days, 3:07:12 time: 0.4231 data_time: 0.0133 memory: 17087 grad_norm: 4.7573 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7560 loss: 1.7560 2022/08/03 15:22:56 - mmengine - INFO - Epoch(train) [28][720/1879] lr: 1.0000e-02 eta: 2 days, 3:07:03 time: 0.4257 data_time: 0.0156 memory: 17087 grad_norm: 4.7596 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6625 loss: 1.6625 2022/08/03 15:23:05 - mmengine - INFO - Epoch(train) [28][740/1879] lr: 1.0000e-02 eta: 2 days, 3:06:55 time: 0.4307 data_time: 0.0155 memory: 17087 grad_norm: 4.7749 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7848 loss: 1.7848 2022/08/03 15:23:14 - mmengine - INFO - Epoch(train) [28][760/1879] lr: 1.0000e-02 eta: 2 days, 3:06:46 time: 0.4233 data_time: 0.0147 memory: 17087 grad_norm: 4.6338 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9876 loss: 1.9876 2022/08/03 15:23:22 - mmengine - INFO - Epoch(train) [28][780/1879] lr: 1.0000e-02 eta: 2 days, 3:06:39 time: 0.4398 data_time: 0.0132 memory: 17087 grad_norm: 4.8026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7900 loss: 1.7900 2022/08/03 15:23:31 - mmengine - INFO - Epoch(train) [28][800/1879] lr: 1.0000e-02 eta: 2 days, 3:06:30 time: 0.4283 data_time: 0.0192 memory: 17087 grad_norm: 4.7011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7346 loss: 1.7346 2022/08/03 15:23:39 - mmengine - INFO - Epoch(train) [28][820/1879] lr: 1.0000e-02 eta: 2 days, 3:06:21 time: 0.4257 data_time: 0.0147 memory: 17087 grad_norm: 4.7437 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8112 loss: 1.8112 2022/08/03 15:23:48 - mmengine - INFO - Epoch(train) [28][840/1879] lr: 1.0000e-02 eta: 2 days, 3:06:12 time: 0.4246 data_time: 0.0168 memory: 17087 grad_norm: 4.8142 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6637 loss: 1.6637 2022/08/03 15:23:56 - mmengine - INFO - Epoch(train) [28][860/1879] lr: 1.0000e-02 eta: 2 days, 3:06:03 time: 0.4213 data_time: 0.0146 memory: 17087 grad_norm: 4.6856 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5832 loss: 1.5832 2022/08/03 15:24:05 - mmengine - INFO - Epoch(train) [28][880/1879] lr: 1.0000e-02 eta: 2 days, 3:05:57 time: 0.4440 data_time: 0.0158 memory: 17087 grad_norm: 4.7953 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6699 loss: 1.6699 2022/08/03 15:24:14 - mmengine - INFO - Epoch(train) [28][900/1879] lr: 1.0000e-02 eta: 2 days, 3:05:47 time: 0.4234 data_time: 0.0153 memory: 17087 grad_norm: 4.9444 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7410 loss: 1.7410 2022/08/03 15:24:22 - mmengine - INFO - Epoch(train) [28][920/1879] lr: 1.0000e-02 eta: 2 days, 3:05:39 time: 0.4332 data_time: 0.0158 memory: 17087 grad_norm: 4.7656 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.9373 loss: 1.9373 2022/08/03 15:24:31 - mmengine - INFO - Epoch(train) [28][940/1879] lr: 1.0000e-02 eta: 2 days, 3:05:30 time: 0.4227 data_time: 0.0137 memory: 17087 grad_norm: 4.7333 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5731 loss: 1.5731 2022/08/03 15:24:39 - mmengine - INFO - Epoch(train) [28][960/1879] lr: 1.0000e-02 eta: 2 days, 3:05:21 time: 0.4281 data_time: 0.0163 memory: 17087 grad_norm: 4.7369 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7405 loss: 1.7405 2022/08/03 15:24:48 - mmengine - INFO - Epoch(train) [28][980/1879] lr: 1.0000e-02 eta: 2 days, 3:05:12 time: 0.4229 data_time: 0.0146 memory: 17087 grad_norm: 4.5950 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8380 loss: 1.8380 2022/08/03 15:24:56 - mmengine - INFO - Epoch(train) [28][1000/1879] lr: 1.0000e-02 eta: 2 days, 3:05:03 time: 0.4249 data_time: 0.0148 memory: 17087 grad_norm: 4.6996 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7982 loss: 1.7982 2022/08/03 15:25:05 - mmengine - INFO - Epoch(train) [28][1020/1879] lr: 1.0000e-02 eta: 2 days, 3:04:54 time: 0.4285 data_time: 0.0149 memory: 17087 grad_norm: 4.8216 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6681 loss: 1.6681 2022/08/03 15:25:13 - mmengine - INFO - Epoch(train) [28][1040/1879] lr: 1.0000e-02 eta: 2 days, 3:04:45 time: 0.4255 data_time: 0.0154 memory: 17087 grad_norm: 4.7065 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6444 loss: 1.6444 2022/08/03 15:25:22 - mmengine - INFO - Epoch(train) [28][1060/1879] lr: 1.0000e-02 eta: 2 days, 3:04:40 time: 0.4473 data_time: 0.0126 memory: 17087 grad_norm: 4.7528 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7673 loss: 1.7673 2022/08/03 15:25:31 - mmengine - INFO - Epoch(train) [28][1080/1879] lr: 1.0000e-02 eta: 2 days, 3:04:31 time: 0.4290 data_time: 0.0192 memory: 17087 grad_norm: 4.8604 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6649 loss: 1.6649 2022/08/03 15:25:40 - mmengine - INFO - Epoch(train) [28][1100/1879] lr: 1.0000e-02 eta: 2 days, 3:04:26 time: 0.4502 data_time: 0.0156 memory: 17087 grad_norm: 4.8783 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6375 loss: 1.6375 2022/08/03 15:25:49 - mmengine - INFO - Epoch(train) [28][1120/1879] lr: 1.0000e-02 eta: 2 days, 3:04:17 time: 0.4262 data_time: 0.0175 memory: 17087 grad_norm: 4.7230 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7587 loss: 1.7587 2022/08/03 15:25:57 - mmengine - INFO - Epoch(train) [28][1140/1879] lr: 1.0000e-02 eta: 2 days, 3:04:08 time: 0.4215 data_time: 0.0136 memory: 17087 grad_norm: 4.8898 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7892 loss: 1.7892 2022/08/03 15:26:06 - mmengine - INFO - Epoch(train) [28][1160/1879] lr: 1.0000e-02 eta: 2 days, 3:04:01 time: 0.4390 data_time: 0.0167 memory: 17087 grad_norm: 4.7471 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6746 loss: 1.6746 2022/08/03 15:26:14 - mmengine - INFO - Epoch(train) [28][1180/1879] lr: 1.0000e-02 eta: 2 days, 3:03:52 time: 0.4247 data_time: 0.0173 memory: 17087 grad_norm: 4.7756 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7912 loss: 1.7912 2022/08/03 15:26:23 - mmengine - INFO - Epoch(train) [28][1200/1879] lr: 1.0000e-02 eta: 2 days, 3:03:47 time: 0.4508 data_time: 0.0159 memory: 17087 grad_norm: 4.6656 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6578 loss: 1.6578 2022/08/03 15:26:32 - mmengine - INFO - Epoch(train) [28][1220/1879] lr: 1.0000e-02 eta: 2 days, 3:03:39 time: 0.4333 data_time: 0.0216 memory: 17087 grad_norm: 4.8161 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7796 loss: 1.7796 2022/08/03 15:26:41 - mmengine - INFO - Epoch(train) [28][1240/1879] lr: 1.0000e-02 eta: 2 days, 3:03:34 time: 0.4477 data_time: 0.0184 memory: 17087 grad_norm: 4.6537 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5716 loss: 1.5716 2022/08/03 15:26:49 - mmengine - INFO - Epoch(train) [28][1260/1879] lr: 1.0000e-02 eta: 2 days, 3:03:24 time: 0.4224 data_time: 0.0135 memory: 17087 grad_norm: 4.7468 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8207 loss: 1.8207 2022/08/03 15:26:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:26:58 - mmengine - INFO - Epoch(train) [28][1280/1879] lr: 1.0000e-02 eta: 2 days, 3:03:15 time: 0.4289 data_time: 0.0195 memory: 17087 grad_norm: 4.6693 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8832 loss: 1.8832 2022/08/03 15:27:07 - mmengine - INFO - Epoch(train) [28][1300/1879] lr: 1.0000e-02 eta: 2 days, 3:03:10 time: 0.4482 data_time: 0.0148 memory: 17087 grad_norm: 4.7629 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5043 loss: 1.5043 2022/08/03 15:27:16 - mmengine - INFO - Epoch(train) [28][1320/1879] lr: 1.0000e-02 eta: 2 days, 3:03:01 time: 0.4266 data_time: 0.0162 memory: 17087 grad_norm: 4.8385 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8771 loss: 1.8771 2022/08/03 15:27:24 - mmengine - INFO - Epoch(train) [28][1340/1879] lr: 1.0000e-02 eta: 2 days, 3:02:53 time: 0.4320 data_time: 0.0213 memory: 17087 grad_norm: 4.8230 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6552 loss: 1.6552 2022/08/03 15:27:33 - mmengine - INFO - Epoch(train) [28][1360/1879] lr: 1.0000e-02 eta: 2 days, 3:02:45 time: 0.4270 data_time: 0.0175 memory: 17087 grad_norm: 4.8634 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7922 loss: 1.7922 2022/08/03 15:27:41 - mmengine - INFO - Epoch(train) [28][1380/1879] lr: 1.0000e-02 eta: 2 days, 3:02:36 time: 0.4291 data_time: 0.0148 memory: 17087 grad_norm: 4.7520 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6090 loss: 1.6090 2022/08/03 15:27:50 - mmengine - INFO - Epoch(train) [28][1400/1879] lr: 1.0000e-02 eta: 2 days, 3:02:27 time: 0.4262 data_time: 0.0165 memory: 17087 grad_norm: 4.8207 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7531 loss: 1.7531 2022/08/03 15:27:58 - mmengine - INFO - Epoch(train) [28][1420/1879] lr: 1.0000e-02 eta: 2 days, 3:02:18 time: 0.4236 data_time: 0.0133 memory: 17087 grad_norm: 4.8269 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7984 loss: 1.7984 2022/08/03 15:28:07 - mmengine - INFO - Epoch(train) [28][1440/1879] lr: 1.0000e-02 eta: 2 days, 3:02:13 time: 0.4517 data_time: 0.0165 memory: 17087 grad_norm: 4.7279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7560 loss: 1.7560 2022/08/03 15:28:16 - mmengine - INFO - Epoch(train) [28][1460/1879] lr: 1.0000e-02 eta: 2 days, 3:02:03 time: 0.4223 data_time: 0.0126 memory: 17087 grad_norm: 4.7395 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6853 loss: 1.6853 2022/08/03 15:28:25 - mmengine - INFO - Epoch(train) [28][1480/1879] lr: 1.0000e-02 eta: 2 days, 3:01:58 time: 0.4500 data_time: 0.0170 memory: 17087 grad_norm: 4.6931 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5032 loss: 1.5032 2022/08/03 15:28:33 - mmengine - INFO - Epoch(train) [28][1500/1879] lr: 1.0000e-02 eta: 2 days, 3:01:50 time: 0.4301 data_time: 0.0144 memory: 17087 grad_norm: 4.8116 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9065 loss: 1.9065 2022/08/03 15:28:42 - mmengine - INFO - Epoch(train) [28][1520/1879] lr: 1.0000e-02 eta: 2 days, 3:01:43 time: 0.4399 data_time: 0.0148 memory: 17087 grad_norm: 4.8045 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8334 loss: 1.8334 2022/08/03 15:28:51 - mmengine - INFO - Epoch(train) [28][1540/1879] lr: 1.0000e-02 eta: 2 days, 3:01:35 time: 0.4264 data_time: 0.0190 memory: 17087 grad_norm: 4.7343 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6408 loss: 1.6408 2022/08/03 15:28:59 - mmengine - INFO - Epoch(train) [28][1560/1879] lr: 1.0000e-02 eta: 2 days, 3:01:25 time: 0.4248 data_time: 0.0153 memory: 17087 grad_norm: 4.6396 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6469 loss: 1.6469 2022/08/03 15:29:08 - mmengine - INFO - Epoch(train) [28][1580/1879] lr: 1.0000e-02 eta: 2 days, 3:01:17 time: 0.4271 data_time: 0.0139 memory: 17087 grad_norm: 4.7379 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.9146 loss: 1.9146 2022/08/03 15:29:16 - mmengine - INFO - Epoch(train) [28][1600/1879] lr: 1.0000e-02 eta: 2 days, 3:01:08 time: 0.4258 data_time: 0.0156 memory: 17087 grad_norm: 4.7588 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6907 loss: 1.6907 2022/08/03 15:29:25 - mmengine - INFO - Epoch(train) [28][1620/1879] lr: 1.0000e-02 eta: 2 days, 3:00:59 time: 0.4268 data_time: 0.0138 memory: 17087 grad_norm: 4.7178 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8372 loss: 1.8372 2022/08/03 15:29:33 - mmengine - INFO - Epoch(train) [28][1640/1879] lr: 1.0000e-02 eta: 2 days, 3:00:50 time: 0.4275 data_time: 0.0171 memory: 17087 grad_norm: 4.9208 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9199 loss: 1.9199 2022/08/03 15:29:42 - mmengine - INFO - Epoch(train) [28][1660/1879] lr: 1.0000e-02 eta: 2 days, 3:00:45 time: 0.4493 data_time: 0.0143 memory: 17087 grad_norm: 4.8311 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7311 loss: 1.7311 2022/08/03 15:29:51 - mmengine - INFO - Epoch(train) [28][1680/1879] lr: 1.0000e-02 eta: 2 days, 3:00:37 time: 0.4304 data_time: 0.0167 memory: 17087 grad_norm: 4.8103 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5997 loss: 1.5997 2022/08/03 15:29:59 - mmengine - INFO - Epoch(train) [28][1700/1879] lr: 1.0000e-02 eta: 2 days, 3:00:27 time: 0.4239 data_time: 0.0155 memory: 17087 grad_norm: 4.8802 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8055 loss: 1.8055 2022/08/03 15:30:08 - mmengine - INFO - Epoch(train) [28][1720/1879] lr: 1.0000e-02 eta: 2 days, 3:00:19 time: 0.4271 data_time: 0.0165 memory: 17087 grad_norm: 4.8407 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9370 loss: 1.9370 2022/08/03 15:30:16 - mmengine - INFO - Epoch(train) [28][1740/1879] lr: 1.0000e-02 eta: 2 days, 3:00:09 time: 0.4226 data_time: 0.0156 memory: 17087 grad_norm: 4.7386 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8263 loss: 1.8263 2022/08/03 15:30:25 - mmengine - INFO - Epoch(train) [28][1760/1879] lr: 1.0000e-02 eta: 2 days, 3:00:01 time: 0.4291 data_time: 0.0169 memory: 17087 grad_norm: 4.7583 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8634 loss: 1.8634 2022/08/03 15:30:33 - mmengine - INFO - Epoch(train) [28][1780/1879] lr: 1.0000e-02 eta: 2 days, 2:59:51 time: 0.4246 data_time: 0.0140 memory: 17087 grad_norm: 4.8772 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7192 loss: 1.7192 2022/08/03 15:30:42 - mmengine - INFO - Epoch(train) [28][1800/1879] lr: 1.0000e-02 eta: 2 days, 2:59:44 time: 0.4366 data_time: 0.0148 memory: 17087 grad_norm: 4.8300 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8398 loss: 1.8398 2022/08/03 15:30:51 - mmengine - INFO - Epoch(train) [28][1820/1879] lr: 1.0000e-02 eta: 2 days, 2:59:36 time: 0.4304 data_time: 0.0133 memory: 17087 grad_norm: 4.9131 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7002 loss: 1.7002 2022/08/03 15:30:59 - mmengine - INFO - Epoch(train) [28][1840/1879] lr: 1.0000e-02 eta: 2 days, 2:59:27 time: 0.4241 data_time: 0.0146 memory: 17087 grad_norm: 4.6663 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6850 loss: 1.6850 2022/08/03 15:31:08 - mmengine - INFO - Epoch(train) [28][1860/1879] lr: 1.0000e-02 eta: 2 days, 2:59:18 time: 0.4256 data_time: 0.0141 memory: 17087 grad_norm: 4.8244 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6082 loss: 1.6082 2022/08/03 15:31:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:31:16 - mmengine - INFO - Epoch(train) [28][1879/1879] lr: 1.0000e-02 eta: 2 days, 2:59:18 time: 0.4232 data_time: 0.0347 memory: 17087 grad_norm: 4.7492 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5611 loss: 1.5611 2022/08/03 15:31:16 - mmengine - INFO - Saving checkpoint at 28 epochs 2022/08/03 15:31:29 - mmengine - INFO - Epoch(train) [29][20/1879] lr: 1.0000e-02 eta: 2 days, 2:58:08 time: 0.5088 data_time: 0.1032 memory: 17087 grad_norm: 4.7873 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6173 loss: 1.6173 2022/08/03 15:31:38 - mmengine - INFO - Epoch(train) [29][40/1879] lr: 1.0000e-02 eta: 2 days, 2:58:01 time: 0.4383 data_time: 0.0190 memory: 17087 grad_norm: 4.7201 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7899 loss: 1.7899 2022/08/03 15:31:46 - mmengine - INFO - Epoch(train) [29][60/1879] lr: 1.0000e-02 eta: 2 days, 2:57:52 time: 0.4257 data_time: 0.0140 memory: 17087 grad_norm: 4.6362 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6036 loss: 1.6036 2022/08/03 15:31:56 - mmengine - INFO - Epoch(train) [29][80/1879] lr: 1.0000e-02 eta: 2 days, 2:57:47 time: 0.4522 data_time: 0.0219 memory: 17087 grad_norm: 4.6640 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7918 loss: 1.7918 2022/08/03 15:32:04 - mmengine - INFO - Epoch(train) [29][100/1879] lr: 1.0000e-02 eta: 2 days, 2:57:38 time: 0.4241 data_time: 0.0164 memory: 17087 grad_norm: 4.7857 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8476 loss: 1.8476 2022/08/03 15:32:13 - mmengine - INFO - Epoch(train) [29][120/1879] lr: 1.0000e-02 eta: 2 days, 2:57:33 time: 0.4536 data_time: 0.0174 memory: 17087 grad_norm: 4.9024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7157 loss: 1.7157 2022/08/03 15:32:22 - mmengine - INFO - Epoch(train) [29][140/1879] lr: 1.0000e-02 eta: 2 days, 2:57:24 time: 0.4251 data_time: 0.0150 memory: 17087 grad_norm: 4.7465 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6775 loss: 1.6775 2022/08/03 15:32:31 - mmengine - INFO - Epoch(train) [29][160/1879] lr: 1.0000e-02 eta: 2 days, 2:57:19 time: 0.4518 data_time: 0.0172 memory: 17087 grad_norm: 4.7533 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7239 loss: 1.7239 2022/08/03 15:32:39 - mmengine - INFO - Epoch(train) [29][180/1879] lr: 1.0000e-02 eta: 2 days, 2:57:10 time: 0.4223 data_time: 0.0146 memory: 17087 grad_norm: 4.7481 top1_acc: 0.1875 top5_acc: 0.6250 loss_cls: 1.8102 loss: 1.8102 2022/08/03 15:32:48 - mmengine - INFO - Epoch(train) [29][200/1879] lr: 1.0000e-02 eta: 2 days, 2:57:01 time: 0.4262 data_time: 0.0151 memory: 17087 grad_norm: 4.7495 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6847 loss: 1.6847 2022/08/03 15:32:57 - mmengine - INFO - Epoch(train) [29][220/1879] lr: 1.0000e-02 eta: 2 days, 2:56:57 time: 0.4545 data_time: 0.0144 memory: 17087 grad_norm: 4.7662 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6737 loss: 1.6737 2022/08/03 15:33:05 - mmengine - INFO - Epoch(train) [29][240/1879] lr: 1.0000e-02 eta: 2 days, 2:56:48 time: 0.4260 data_time: 0.0163 memory: 17087 grad_norm: 4.7188 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8332 loss: 1.8332 2022/08/03 15:33:14 - mmengine - INFO - Epoch(train) [29][260/1879] lr: 1.0000e-02 eta: 2 days, 2:56:39 time: 0.4300 data_time: 0.0152 memory: 17087 grad_norm: 4.9820 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8595 loss: 1.8595 2022/08/03 15:33:22 - mmengine - INFO - Epoch(train) [29][280/1879] lr: 1.0000e-02 eta: 2 days, 2:56:30 time: 0.4240 data_time: 0.0149 memory: 17087 grad_norm: 4.7802 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8235 loss: 1.8235 2022/08/03 15:33:31 - mmengine - INFO - Epoch(train) [29][300/1879] lr: 1.0000e-02 eta: 2 days, 2:56:21 time: 0.4250 data_time: 0.0152 memory: 17087 grad_norm: 4.7924 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7315 loss: 1.7315 2022/08/03 15:33:39 - mmengine - INFO - Epoch(train) [29][320/1879] lr: 1.0000e-02 eta: 2 days, 2:56:12 time: 0.4249 data_time: 0.0155 memory: 17087 grad_norm: 4.7171 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5301 loss: 1.5301 2022/08/03 15:33:48 - mmengine - INFO - Epoch(train) [29][340/1879] lr: 1.0000e-02 eta: 2 days, 2:56:04 time: 0.4332 data_time: 0.0149 memory: 17087 grad_norm: 4.7054 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7425 loss: 1.7425 2022/08/03 15:33:56 - mmengine - INFO - Epoch(train) [29][360/1879] lr: 1.0000e-02 eta: 2 days, 2:55:55 time: 0.4252 data_time: 0.0159 memory: 17087 grad_norm: 4.8011 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6755 loss: 1.6755 2022/08/03 15:34:06 - mmengine - INFO - Epoch(train) [29][380/1879] lr: 1.0000e-02 eta: 2 days, 2:55:51 time: 0.4592 data_time: 0.0141 memory: 17087 grad_norm: 4.6840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6939 loss: 1.6939 2022/08/03 15:34:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:34:14 - mmengine - INFO - Epoch(train) [29][400/1879] lr: 1.0000e-02 eta: 2 days, 2:55:43 time: 0.4282 data_time: 0.0183 memory: 17087 grad_norm: 4.9283 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 2.0137 loss: 2.0137 2022/08/03 15:34:23 - mmengine - INFO - Epoch(train) [29][420/1879] lr: 1.0000e-02 eta: 2 days, 2:55:36 time: 0.4383 data_time: 0.0150 memory: 17087 grad_norm: 4.6706 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6422 loss: 1.6422 2022/08/03 15:34:32 - mmengine - INFO - Epoch(train) [29][440/1879] lr: 1.0000e-02 eta: 2 days, 2:55:27 time: 0.4258 data_time: 0.0160 memory: 17087 grad_norm: 4.9138 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8653 loss: 1.8653 2022/08/03 15:34:40 - mmengine - INFO - Epoch(train) [29][460/1879] lr: 1.0000e-02 eta: 2 days, 2:55:21 time: 0.4424 data_time: 0.0157 memory: 17087 grad_norm: 4.7487 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8011 loss: 1.8011 2022/08/03 15:34:49 - mmengine - INFO - Epoch(train) [29][480/1879] lr: 1.0000e-02 eta: 2 days, 2:55:11 time: 0.4237 data_time: 0.0148 memory: 17087 grad_norm: 4.6715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6897 loss: 1.6897 2022/08/03 15:34:57 - mmengine - INFO - Epoch(train) [29][500/1879] lr: 1.0000e-02 eta: 2 days, 2:55:03 time: 0.4286 data_time: 0.0156 memory: 17087 grad_norm: 4.9108 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9054 loss: 1.9054 2022/08/03 15:35:06 - mmengine - INFO - Epoch(train) [29][520/1879] lr: 1.0000e-02 eta: 2 days, 2:54:54 time: 0.4247 data_time: 0.0158 memory: 17087 grad_norm: 4.7990 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7486 loss: 1.7486 2022/08/03 15:35:15 - mmengine - INFO - Epoch(train) [29][540/1879] lr: 1.0000e-02 eta: 2 days, 2:54:50 time: 0.4560 data_time: 0.0171 memory: 17087 grad_norm: 4.8206 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8778 loss: 1.8778 2022/08/03 15:35:24 - mmengine - INFO - Epoch(train) [29][560/1879] lr: 1.0000e-02 eta: 2 days, 2:54:40 time: 0.4253 data_time: 0.0177 memory: 17087 grad_norm: 4.6953 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7298 loss: 1.7298 2022/08/03 15:35:33 - mmengine - INFO - Epoch(train) [29][580/1879] lr: 1.0000e-02 eta: 2 days, 2:54:36 time: 0.4521 data_time: 0.0245 memory: 17087 grad_norm: 4.7811 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6452 loss: 1.6452 2022/08/03 15:35:41 - mmengine - INFO - Epoch(train) [29][600/1879] lr: 1.0000e-02 eta: 2 days, 2:54:27 time: 0.4253 data_time: 0.0153 memory: 17087 grad_norm: 4.8404 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7385 loss: 1.7385 2022/08/03 15:35:50 - mmengine - INFO - Epoch(train) [29][620/1879] lr: 1.0000e-02 eta: 2 days, 2:54:18 time: 0.4248 data_time: 0.0135 memory: 17087 grad_norm: 4.8687 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8006 loss: 1.8006 2022/08/03 15:35:58 - mmengine - INFO - Epoch(train) [29][640/1879] lr: 1.0000e-02 eta: 2 days, 2:54:11 time: 0.4424 data_time: 0.0321 memory: 17087 grad_norm: 4.8226 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8991 loss: 1.8991 2022/08/03 15:36:07 - mmengine - INFO - Epoch(train) [29][660/1879] lr: 1.0000e-02 eta: 2 days, 2:54:02 time: 0.4249 data_time: 0.0145 memory: 17087 grad_norm: 4.7779 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7592 loss: 1.7592 2022/08/03 15:36:16 - mmengine - INFO - Epoch(train) [29][680/1879] lr: 1.0000e-02 eta: 2 days, 2:53:53 time: 0.4281 data_time: 0.0178 memory: 17087 grad_norm: 4.8643 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8164 loss: 1.8164 2022/08/03 15:36:24 - mmengine - INFO - Epoch(train) [29][700/1879] lr: 1.0000e-02 eta: 2 days, 2:53:44 time: 0.4248 data_time: 0.0155 memory: 17087 grad_norm: 4.7873 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7131 loss: 1.7131 2022/08/03 15:36:33 - mmengine - INFO - Epoch(train) [29][720/1879] lr: 1.0000e-02 eta: 2 days, 2:53:35 time: 0.4266 data_time: 0.0180 memory: 17087 grad_norm: 4.8508 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7749 loss: 1.7749 2022/08/03 15:36:41 - mmengine - INFO - Epoch(train) [29][740/1879] lr: 1.0000e-02 eta: 2 days, 2:53:26 time: 0.4243 data_time: 0.0156 memory: 17087 grad_norm: 4.8432 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6620 loss: 1.6620 2022/08/03 15:36:50 - mmengine - INFO - Epoch(train) [29][760/1879] lr: 1.0000e-02 eta: 2 days, 2:53:17 time: 0.4249 data_time: 0.0157 memory: 17087 grad_norm: 4.8598 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8018 loss: 1.8018 2022/08/03 15:36:59 - mmengine - INFO - Epoch(train) [29][780/1879] lr: 1.0000e-02 eta: 2 days, 2:53:11 time: 0.4468 data_time: 0.0150 memory: 17087 grad_norm: 4.7702 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8311 loss: 1.8311 2022/08/03 15:37:07 - mmengine - INFO - Epoch(train) [29][800/1879] lr: 1.0000e-02 eta: 2 days, 2:53:03 time: 0.4306 data_time: 0.0212 memory: 17087 grad_norm: 4.8072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9035 loss: 1.9035 2022/08/03 15:37:16 - mmengine - INFO - Epoch(train) [29][820/1879] lr: 1.0000e-02 eta: 2 days, 2:52:55 time: 0.4312 data_time: 0.0138 memory: 17087 grad_norm: 4.7430 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6855 loss: 1.6855 2022/08/03 15:37:24 - mmengine - INFO - Epoch(train) [29][840/1879] lr: 1.0000e-02 eta: 2 days, 2:52:47 time: 0.4285 data_time: 0.0174 memory: 17087 grad_norm: 4.7477 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6468 loss: 1.6468 2022/08/03 15:37:33 - mmengine - INFO - Epoch(train) [29][860/1879] lr: 1.0000e-02 eta: 2 days, 2:52:38 time: 0.4270 data_time: 0.0153 memory: 17087 grad_norm: 4.8884 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7482 loss: 1.7482 2022/08/03 15:37:41 - mmengine - INFO - Epoch(train) [29][880/1879] lr: 1.0000e-02 eta: 2 days, 2:52:29 time: 0.4256 data_time: 0.0164 memory: 17087 grad_norm: 4.7535 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7438 loss: 1.7438 2022/08/03 15:37:50 - mmengine - INFO - Epoch(train) [29][900/1879] lr: 1.0000e-02 eta: 2 days, 2:52:20 time: 0.4270 data_time: 0.0147 memory: 17087 grad_norm: 4.6580 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6232 loss: 1.6232 2022/08/03 15:37:58 - mmengine - INFO - Epoch(train) [29][920/1879] lr: 1.0000e-02 eta: 2 days, 2:52:11 time: 0.4256 data_time: 0.0175 memory: 17087 grad_norm: 4.7300 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8268 loss: 1.8268 2022/08/03 15:38:07 - mmengine - INFO - Epoch(train) [29][940/1879] lr: 1.0000e-02 eta: 2 days, 2:52:02 time: 0.4278 data_time: 0.0138 memory: 17087 grad_norm: 4.8740 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9418 loss: 1.9418 2022/08/03 15:38:16 - mmengine - INFO - Epoch(train) [29][960/1879] lr: 1.0000e-02 eta: 2 days, 2:51:54 time: 0.4272 data_time: 0.0154 memory: 17087 grad_norm: 4.8060 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8339 loss: 1.8339 2022/08/03 15:38:24 - mmengine - INFO - Epoch(train) [29][980/1879] lr: 1.0000e-02 eta: 2 days, 2:51:45 time: 0.4264 data_time: 0.0172 memory: 17087 grad_norm: 4.9632 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5022 loss: 1.5022 2022/08/03 15:38:33 - mmengine - INFO - Epoch(train) [29][1000/1879] lr: 1.0000e-02 eta: 2 days, 2:51:36 time: 0.4248 data_time: 0.0154 memory: 17087 grad_norm: 4.8580 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8689 loss: 1.8689 2022/08/03 15:38:41 - mmengine - INFO - Epoch(train) [29][1020/1879] lr: 1.0000e-02 eta: 2 days, 2:51:27 time: 0.4283 data_time: 0.0146 memory: 17087 grad_norm: 4.8207 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 2.0262 loss: 2.0262 2022/08/03 15:38:50 - mmengine - INFO - Epoch(train) [29][1040/1879] lr: 1.0000e-02 eta: 2 days, 2:51:18 time: 0.4242 data_time: 0.0157 memory: 17087 grad_norm: 4.6893 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7850 loss: 1.7850 2022/08/03 15:38:58 - mmengine - INFO - Epoch(train) [29][1060/1879] lr: 1.0000e-02 eta: 2 days, 2:51:09 time: 0.4250 data_time: 0.0152 memory: 17087 grad_norm: 4.6717 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8342 loss: 1.8342 2022/08/03 15:39:07 - mmengine - INFO - Epoch(train) [29][1080/1879] lr: 1.0000e-02 eta: 2 days, 2:51:01 time: 0.4353 data_time: 0.0167 memory: 17087 grad_norm: 4.7798 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8188 loss: 1.8188 2022/08/03 15:39:16 - mmengine - INFO - Epoch(train) [29][1100/1879] lr: 1.0000e-02 eta: 2 days, 2:50:55 time: 0.4432 data_time: 0.0194 memory: 17087 grad_norm: 4.7303 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7609 loss: 1.7609 2022/08/03 15:39:25 - mmengine - INFO - Epoch(train) [29][1120/1879] lr: 1.0000e-02 eta: 2 days, 2:50:49 time: 0.4424 data_time: 0.0181 memory: 17087 grad_norm: 4.7222 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7153 loss: 1.7153 2022/08/03 15:39:33 - mmengine - INFO - Epoch(train) [29][1140/1879] lr: 1.0000e-02 eta: 2 days, 2:50:39 time: 0.4244 data_time: 0.0164 memory: 17087 grad_norm: 4.5890 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6583 loss: 1.6583 2022/08/03 15:39:42 - mmengine - INFO - Epoch(train) [29][1160/1879] lr: 1.0000e-02 eta: 2 days, 2:50:31 time: 0.4319 data_time: 0.0167 memory: 17087 grad_norm: 4.6396 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9498 loss: 1.9498 2022/08/03 15:39:50 - mmengine - INFO - Epoch(train) [29][1180/1879] lr: 1.0000e-02 eta: 2 days, 2:50:22 time: 0.4245 data_time: 0.0137 memory: 17087 grad_norm: 4.7376 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 2.0200 loss: 2.0200 2022/08/03 15:39:59 - mmengine - INFO - Epoch(train) [29][1200/1879] lr: 1.0000e-02 eta: 2 days, 2:50:13 time: 0.4256 data_time: 0.0155 memory: 17087 grad_norm: 4.8387 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7723 loss: 1.7723 2022/08/03 15:40:08 - mmengine - INFO - Epoch(train) [29][1220/1879] lr: 1.0000e-02 eta: 2 days, 2:50:11 time: 0.4681 data_time: 0.0145 memory: 17087 grad_norm: 4.8367 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8627 loss: 1.8627 2022/08/03 15:40:17 - mmengine - INFO - Epoch(train) [29][1240/1879] lr: 1.0000e-02 eta: 2 days, 2:50:03 time: 0.4327 data_time: 0.0156 memory: 17087 grad_norm: 4.7591 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6888 loss: 1.6888 2022/08/03 15:40:25 - mmengine - INFO - Epoch(train) [29][1260/1879] lr: 1.0000e-02 eta: 2 days, 2:49:54 time: 0.4243 data_time: 0.0142 memory: 17087 grad_norm: 4.8628 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9389 loss: 1.9389 2022/08/03 15:40:34 - mmengine - INFO - Epoch(train) [29][1280/1879] lr: 1.0000e-02 eta: 2 days, 2:49:45 time: 0.4258 data_time: 0.0167 memory: 17087 grad_norm: 4.7152 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5572 loss: 1.5572 2022/08/03 15:40:42 - mmengine - INFO - Epoch(train) [29][1300/1879] lr: 1.0000e-02 eta: 2 days, 2:49:36 time: 0.4277 data_time: 0.0146 memory: 17087 grad_norm: 4.7773 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8981 loss: 1.8981 2022/08/03 15:40:51 - mmengine - INFO - Epoch(train) [29][1320/1879] lr: 1.0000e-02 eta: 2 days, 2:49:27 time: 0.4244 data_time: 0.0152 memory: 17087 grad_norm: 4.8335 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8377 loss: 1.8377 2022/08/03 15:40:59 - mmengine - INFO - Epoch(train) [29][1340/1879] lr: 1.0000e-02 eta: 2 days, 2:49:18 time: 0.4251 data_time: 0.0128 memory: 17087 grad_norm: 4.8025 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5783 loss: 1.5783 2022/08/03 15:41:08 - mmengine - INFO - Epoch(train) [29][1360/1879] lr: 1.0000e-02 eta: 2 days, 2:49:09 time: 0.4280 data_time: 0.0167 memory: 17087 grad_norm: 4.8760 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8012 loss: 1.8012 2022/08/03 15:41:16 - mmengine - INFO - Epoch(train) [29][1380/1879] lr: 1.0000e-02 eta: 2 days, 2:49:00 time: 0.4263 data_time: 0.0152 memory: 17087 grad_norm: 4.7181 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8836 loss: 1.8836 2022/08/03 15:41:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:41:25 - mmengine - INFO - Epoch(train) [29][1400/1879] lr: 1.0000e-02 eta: 2 days, 2:48:51 time: 0.4262 data_time: 0.0159 memory: 17087 grad_norm: 4.8347 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7998 loss: 1.7998 2022/08/03 15:41:34 - mmengine - INFO - Epoch(train) [29][1420/1879] lr: 1.0000e-02 eta: 2 days, 2:48:43 time: 0.4271 data_time: 0.0159 memory: 17087 grad_norm: 4.8101 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6595 loss: 1.6595 2022/08/03 15:41:42 - mmengine - INFO - Epoch(train) [29][1440/1879] lr: 1.0000e-02 eta: 2 days, 2:48:34 time: 0.4261 data_time: 0.0160 memory: 17087 grad_norm: 4.8955 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6632 loss: 1.6632 2022/08/03 15:41:50 - mmengine - INFO - Epoch(train) [29][1460/1879] lr: 1.0000e-02 eta: 2 days, 2:48:24 time: 0.4221 data_time: 0.0134 memory: 17087 grad_norm: 4.8351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6631 loss: 1.6631 2022/08/03 15:41:59 - mmengine - INFO - Epoch(train) [29][1480/1879] lr: 1.0000e-02 eta: 2 days, 2:48:16 time: 0.4291 data_time: 0.0166 memory: 17087 grad_norm: 4.7502 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6392 loss: 1.6392 2022/08/03 15:42:08 - mmengine - INFO - Epoch(train) [29][1500/1879] lr: 1.0000e-02 eta: 2 days, 2:48:07 time: 0.4262 data_time: 0.0141 memory: 17087 grad_norm: 4.9487 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8741 loss: 1.8741 2022/08/03 15:42:16 - mmengine - INFO - Epoch(train) [29][1520/1879] lr: 1.0000e-02 eta: 2 days, 2:47:58 time: 0.4273 data_time: 0.0172 memory: 17087 grad_norm: 4.9195 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7007 loss: 1.7007 2022/08/03 15:42:25 - mmengine - INFO - Epoch(train) [29][1540/1879] lr: 1.0000e-02 eta: 2 days, 2:47:49 time: 0.4275 data_time: 0.0160 memory: 17087 grad_norm: 4.7188 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7152 loss: 1.7152 2022/08/03 15:42:33 - mmengine - INFO - Epoch(train) [29][1560/1879] lr: 1.0000e-02 eta: 2 days, 2:47:41 time: 0.4284 data_time: 0.0177 memory: 17087 grad_norm: 4.6789 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8265 loss: 1.8265 2022/08/03 15:42:42 - mmengine - INFO - Epoch(train) [29][1580/1879] lr: 1.0000e-02 eta: 2 days, 2:47:32 time: 0.4261 data_time: 0.0143 memory: 17087 grad_norm: 4.7622 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7273 loss: 1.7273 2022/08/03 15:42:50 - mmengine - INFO - Epoch(train) [29][1600/1879] lr: 1.0000e-02 eta: 2 days, 2:47:22 time: 0.4223 data_time: 0.0145 memory: 17087 grad_norm: 4.7545 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7309 loss: 1.7309 2022/08/03 15:42:59 - mmengine - INFO - Epoch(train) [29][1620/1879] lr: 1.0000e-02 eta: 2 days, 2:47:14 time: 0.4304 data_time: 0.0153 memory: 17087 grad_norm: 4.7863 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7985 loss: 1.7985 2022/08/03 15:43:07 - mmengine - INFO - Epoch(train) [29][1640/1879] lr: 1.0000e-02 eta: 2 days, 2:47:05 time: 0.4272 data_time: 0.0153 memory: 17087 grad_norm: 4.8971 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 2.0040 loss: 2.0040 2022/08/03 15:43:16 - mmengine - INFO - Epoch(train) [29][1660/1879] lr: 1.0000e-02 eta: 2 days, 2:47:00 time: 0.4509 data_time: 0.0176 memory: 17087 grad_norm: 4.7563 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8076 loss: 1.8076 2022/08/03 15:43:25 - mmengine - INFO - Epoch(train) [29][1680/1879] lr: 1.0000e-02 eta: 2 days, 2:46:52 time: 0.4276 data_time: 0.0161 memory: 17087 grad_norm: 4.7854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6865 loss: 1.6865 2022/08/03 15:43:34 - mmengine - INFO - Epoch(train) [29][1700/1879] lr: 1.0000e-02 eta: 2 days, 2:46:43 time: 0.4265 data_time: 0.0178 memory: 17087 grad_norm: 4.7930 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6739 loss: 1.6739 2022/08/03 15:43:42 - mmengine - INFO - Epoch(train) [29][1720/1879] lr: 1.0000e-02 eta: 2 days, 2:46:33 time: 0.4236 data_time: 0.0157 memory: 17087 grad_norm: 4.7523 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7237 loss: 1.7237 2022/08/03 15:43:50 - mmengine - INFO - Epoch(train) [29][1740/1879] lr: 1.0000e-02 eta: 2 days, 2:46:24 time: 0.4234 data_time: 0.0150 memory: 17087 grad_norm: 4.9058 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6043 loss: 1.6043 2022/08/03 15:43:59 - mmengine - INFO - Epoch(train) [29][1760/1879] lr: 1.0000e-02 eta: 2 days, 2:46:16 time: 0.4296 data_time: 0.0165 memory: 17087 grad_norm: 4.6661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8733 loss: 1.8733 2022/08/03 15:44:08 - mmengine - INFO - Epoch(train) [29][1780/1879] lr: 1.0000e-02 eta: 2 days, 2:46:07 time: 0.4247 data_time: 0.0142 memory: 17087 grad_norm: 4.8753 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6558 loss: 1.6558 2022/08/03 15:44:16 - mmengine - INFO - Epoch(train) [29][1800/1879] lr: 1.0000e-02 eta: 2 days, 2:46:00 time: 0.4438 data_time: 0.0169 memory: 17087 grad_norm: 4.6724 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6167 loss: 1.6167 2022/08/03 15:44:25 - mmengine - INFO - Epoch(train) [29][1820/1879] lr: 1.0000e-02 eta: 2 days, 2:45:52 time: 0.4264 data_time: 0.0137 memory: 17087 grad_norm: 4.7672 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9361 loss: 1.9361 2022/08/03 15:44:34 - mmengine - INFO - Epoch(train) [29][1840/1879] lr: 1.0000e-02 eta: 2 days, 2:45:48 time: 0.4627 data_time: 0.0148 memory: 17087 grad_norm: 4.8051 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5575 loss: 1.5575 2022/08/03 15:44:43 - mmengine - INFO - Epoch(train) [29][1860/1879] lr: 1.0000e-02 eta: 2 days, 2:45:39 time: 0.4231 data_time: 0.0134 memory: 17087 grad_norm: 4.6883 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4882 loss: 1.4882 2022/08/03 15:44:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:44:50 - mmengine - INFO - Epoch(train) [29][1879/1879] lr: 1.0000e-02 eta: 2 days, 2:45:39 time: 0.4078 data_time: 0.0185 memory: 17087 grad_norm: 4.9826 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.8259 loss: 1.8259 2022/08/03 15:45:02 - mmengine - INFO - Epoch(train) [30][20/1879] lr: 1.0000e-02 eta: 2 days, 2:44:40 time: 0.5657 data_time: 0.1361 memory: 17087 grad_norm: 4.9079 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6387 loss: 1.6387 2022/08/03 15:45:10 - mmengine - INFO - Epoch(train) [30][40/1879] lr: 1.0000e-02 eta: 2 days, 2:44:31 time: 0.4230 data_time: 0.0159 memory: 17087 grad_norm: 4.8761 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8255 loss: 1.8255 2022/08/03 15:45:19 - mmengine - INFO - Epoch(train) [30][60/1879] lr: 1.0000e-02 eta: 2 days, 2:44:23 time: 0.4317 data_time: 0.0189 memory: 17087 grad_norm: 4.8526 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5524 loss: 1.5524 2022/08/03 15:45:27 - mmengine - INFO - Epoch(train) [30][80/1879] lr: 1.0000e-02 eta: 2 days, 2:44:14 time: 0.4264 data_time: 0.0178 memory: 17087 grad_norm: 4.8854 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7886 loss: 1.7886 2022/08/03 15:45:36 - mmengine - INFO - Epoch(train) [30][100/1879] lr: 1.0000e-02 eta: 2 days, 2:44:08 time: 0.4463 data_time: 0.0139 memory: 17087 grad_norm: 4.6959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8096 loss: 1.8096 2022/08/03 15:45:45 - mmengine - INFO - Epoch(train) [30][120/1879] lr: 1.0000e-02 eta: 2 days, 2:44:01 time: 0.4378 data_time: 0.0163 memory: 17087 grad_norm: 4.7517 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9141 loss: 1.9141 2022/08/03 15:45:54 - mmengine - INFO - Epoch(train) [30][140/1879] lr: 1.0000e-02 eta: 2 days, 2:43:55 time: 0.4471 data_time: 0.0127 memory: 17087 grad_norm: 4.8954 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8801 loss: 1.8801 2022/08/03 15:46:03 - mmengine - INFO - Epoch(train) [30][160/1879] lr: 1.0000e-02 eta: 2 days, 2:43:47 time: 0.4298 data_time: 0.0216 memory: 17087 grad_norm: 4.8568 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6667 loss: 1.6667 2022/08/03 15:46:11 - mmengine - INFO - Epoch(train) [30][180/1879] lr: 1.0000e-02 eta: 2 days, 2:43:38 time: 0.4263 data_time: 0.0134 memory: 17087 grad_norm: 4.7461 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6428 loss: 1.6428 2022/08/03 15:46:20 - mmengine - INFO - Epoch(train) [30][200/1879] lr: 1.0000e-02 eta: 2 days, 2:43:32 time: 0.4423 data_time: 0.0157 memory: 17087 grad_norm: 4.8558 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6578 loss: 1.6578 2022/08/03 15:46:29 - mmengine - INFO - Epoch(train) [30][220/1879] lr: 1.0000e-02 eta: 2 days, 2:43:23 time: 0.4268 data_time: 0.0190 memory: 17087 grad_norm: 4.8166 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5933 loss: 1.5933 2022/08/03 15:46:38 - mmengine - INFO - Epoch(train) [30][240/1879] lr: 1.0000e-02 eta: 2 days, 2:43:17 time: 0.4466 data_time: 0.0149 memory: 17087 grad_norm: 4.6947 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6359 loss: 1.6359 2022/08/03 15:46:46 - mmengine - INFO - Epoch(train) [30][260/1879] lr: 1.0000e-02 eta: 2 days, 2:43:08 time: 0.4279 data_time: 0.0179 memory: 17087 grad_norm: 4.7749 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6816 loss: 1.6816 2022/08/03 15:46:55 - mmengine - INFO - Epoch(train) [30][280/1879] lr: 1.0000e-02 eta: 2 days, 2:43:00 time: 0.4317 data_time: 0.0160 memory: 17087 grad_norm: 4.6912 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7145 loss: 1.7145 2022/08/03 15:47:03 - mmengine - INFO - Epoch(train) [30][300/1879] lr: 1.0000e-02 eta: 2 days, 2:42:51 time: 0.4250 data_time: 0.0144 memory: 17087 grad_norm: 4.8885 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7240 loss: 1.7240 2022/08/03 15:47:12 - mmengine - INFO - Epoch(train) [30][320/1879] lr: 1.0000e-02 eta: 2 days, 2:42:44 time: 0.4335 data_time: 0.0168 memory: 17087 grad_norm: 4.7019 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6467 loss: 1.6467 2022/08/03 15:47:20 - mmengine - INFO - Epoch(train) [30][340/1879] lr: 1.0000e-02 eta: 2 days, 2:42:34 time: 0.4244 data_time: 0.0154 memory: 17087 grad_norm: 4.7623 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8482 loss: 1.8482 2022/08/03 15:47:29 - mmengine - INFO - Epoch(train) [30][360/1879] lr: 1.0000e-02 eta: 2 days, 2:42:25 time: 0.4247 data_time: 0.0170 memory: 17087 grad_norm: 4.8446 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6633 loss: 1.6633 2022/08/03 15:47:38 - mmengine - INFO - Epoch(train) [30][380/1879] lr: 1.0000e-02 eta: 2 days, 2:42:19 time: 0.4422 data_time: 0.0127 memory: 17087 grad_norm: 4.7508 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6111 loss: 1.6111 2022/08/03 15:47:46 - mmengine - INFO - Epoch(train) [30][400/1879] lr: 1.0000e-02 eta: 2 days, 2:42:11 time: 0.4308 data_time: 0.0209 memory: 17087 grad_norm: 4.8460 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8684 loss: 1.8684 2022/08/03 15:47:55 - mmengine - INFO - Epoch(train) [30][420/1879] lr: 1.0000e-02 eta: 2 days, 2:42:03 time: 0.4310 data_time: 0.0128 memory: 17087 grad_norm: 4.7585 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6696 loss: 1.6696 2022/08/03 15:48:04 - mmengine - INFO - Epoch(train) [30][440/1879] lr: 1.0000e-02 eta: 2 days, 2:41:54 time: 0.4265 data_time: 0.0173 memory: 17087 grad_norm: 4.9116 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8470 loss: 1.8470 2022/08/03 15:48:12 - mmengine - INFO - Epoch(train) [30][460/1879] lr: 1.0000e-02 eta: 2 days, 2:41:45 time: 0.4256 data_time: 0.0124 memory: 17087 grad_norm: 4.7417 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7543 loss: 1.7543 2022/08/03 15:48:21 - mmengine - INFO - Epoch(train) [30][480/1879] lr: 1.0000e-02 eta: 2 days, 2:41:36 time: 0.4252 data_time: 0.0161 memory: 17087 grad_norm: 4.8095 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8094 loss: 1.8094 2022/08/03 15:48:29 - mmengine - INFO - Epoch(train) [30][500/1879] lr: 1.0000e-02 eta: 2 days, 2:41:27 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 4.7950 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8447 loss: 1.8447 2022/08/03 15:48:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:48:38 - mmengine - INFO - Epoch(train) [30][520/1879] lr: 1.0000e-02 eta: 2 days, 2:41:18 time: 0.4294 data_time: 0.0167 memory: 17087 grad_norm: 4.8084 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7860 loss: 1.7860 2022/08/03 15:48:46 - mmengine - INFO - Epoch(train) [30][540/1879] lr: 1.0000e-02 eta: 2 days, 2:41:09 time: 0.4239 data_time: 0.0145 memory: 17087 grad_norm: 4.8966 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7299 loss: 1.7299 2022/08/03 15:48:55 - mmengine - INFO - Epoch(train) [30][560/1879] lr: 1.0000e-02 eta: 2 days, 2:41:02 time: 0.4374 data_time: 0.0167 memory: 17087 grad_norm: 4.9214 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7743 loss: 1.7743 2022/08/03 15:49:03 - mmengine - INFO - Epoch(train) [30][580/1879] lr: 1.0000e-02 eta: 2 days, 2:40:52 time: 0.4228 data_time: 0.0143 memory: 17087 grad_norm: 4.9353 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8785 loss: 1.8785 2022/08/03 15:49:12 - mmengine - INFO - Epoch(train) [30][600/1879] lr: 1.0000e-02 eta: 2 days, 2:40:46 time: 0.4439 data_time: 0.0182 memory: 17087 grad_norm: 4.8098 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6941 loss: 1.6941 2022/08/03 15:49:21 - mmengine - INFO - Epoch(train) [30][620/1879] lr: 1.0000e-02 eta: 2 days, 2:40:37 time: 0.4225 data_time: 0.0122 memory: 17087 grad_norm: 4.8332 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8557 loss: 1.8557 2022/08/03 15:49:29 - mmengine - INFO - Epoch(train) [30][640/1879] lr: 1.0000e-02 eta: 2 days, 2:40:27 time: 0.4236 data_time: 0.0156 memory: 17087 grad_norm: 4.9006 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.9523 loss: 1.9523 2022/08/03 15:49:38 - mmengine - INFO - Epoch(train) [30][660/1879] lr: 1.0000e-02 eta: 2 days, 2:40:19 time: 0.4301 data_time: 0.0152 memory: 17087 grad_norm: 4.7685 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9287 loss: 1.9287 2022/08/03 15:49:46 - mmengine - INFO - Epoch(train) [30][680/1879] lr: 1.0000e-02 eta: 2 days, 2:40:10 time: 0.4278 data_time: 0.0162 memory: 17087 grad_norm: 4.8429 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7517 loss: 1.7517 2022/08/03 15:49:55 - mmengine - INFO - Epoch(train) [30][700/1879] lr: 1.0000e-02 eta: 2 days, 2:40:05 time: 0.4489 data_time: 0.0161 memory: 17087 grad_norm: 4.8087 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6794 loss: 1.6794 2022/08/03 15:50:04 - mmengine - INFO - Epoch(train) [30][720/1879] lr: 1.0000e-02 eta: 2 days, 2:39:56 time: 0.4267 data_time: 0.0172 memory: 17087 grad_norm: 4.7542 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5479 loss: 1.5479 2022/08/03 15:50:13 - mmengine - INFO - Epoch(train) [30][740/1879] lr: 1.0000e-02 eta: 2 days, 2:39:50 time: 0.4465 data_time: 0.0145 memory: 17087 grad_norm: 4.8333 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5802 loss: 1.5802 2022/08/03 15:50:21 - mmengine - INFO - Epoch(train) [30][760/1879] lr: 1.0000e-02 eta: 2 days, 2:39:42 time: 0.4277 data_time: 0.0169 memory: 17087 grad_norm: 4.7687 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6836 loss: 1.6836 2022/08/03 15:50:30 - mmengine - INFO - Epoch(train) [30][780/1879] lr: 1.0000e-02 eta: 2 days, 2:39:33 time: 0.4263 data_time: 0.0178 memory: 17087 grad_norm: 4.8752 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6789 loss: 1.6789 2022/08/03 15:50:38 - mmengine - INFO - Epoch(train) [30][800/1879] lr: 1.0000e-02 eta: 2 days, 2:39:25 time: 0.4302 data_time: 0.0187 memory: 17087 grad_norm: 4.8012 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.9235 loss: 1.9235 2022/08/03 15:50:47 - mmengine - INFO - Epoch(train) [30][820/1879] lr: 1.0000e-02 eta: 2 days, 2:39:16 time: 0.4262 data_time: 0.0132 memory: 17087 grad_norm: 4.8310 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7944 loss: 1.7944 2022/08/03 15:50:56 - mmengine - INFO - Epoch(train) [30][840/1879] lr: 1.0000e-02 eta: 2 days, 2:39:07 time: 0.4303 data_time: 0.0183 memory: 17087 grad_norm: 4.8482 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8503 loss: 1.8503 2022/08/03 15:51:04 - mmengine - INFO - Epoch(train) [30][860/1879] lr: 1.0000e-02 eta: 2 days, 2:38:58 time: 0.4237 data_time: 0.0143 memory: 17087 grad_norm: 4.7149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6777 loss: 1.6777 2022/08/03 15:51:13 - mmengine - INFO - Epoch(train) [30][880/1879] lr: 1.0000e-02 eta: 2 days, 2:38:53 time: 0.4478 data_time: 0.0179 memory: 17087 grad_norm: 4.7973 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7953 loss: 1.7953 2022/08/03 15:51:21 - mmengine - INFO - Epoch(train) [30][900/1879] lr: 1.0000e-02 eta: 2 days, 2:38:43 time: 0.4217 data_time: 0.0146 memory: 17087 grad_norm: 4.7804 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8302 loss: 1.8302 2022/08/03 15:51:30 - mmengine - INFO - Epoch(train) [30][920/1879] lr: 1.0000e-02 eta: 2 days, 2:38:35 time: 0.4303 data_time: 0.0214 memory: 17087 grad_norm: 4.8747 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8503 loss: 1.8503 2022/08/03 15:51:39 - mmengine - INFO - Epoch(train) [30][940/1879] lr: 1.0000e-02 eta: 2 days, 2:38:28 time: 0.4418 data_time: 0.0162 memory: 17087 grad_norm: 4.9080 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8718 loss: 1.8718 2022/08/03 15:51:48 - mmengine - INFO - Epoch(train) [30][960/1879] lr: 1.0000e-02 eta: 2 days, 2:38:20 time: 0.4308 data_time: 0.0209 memory: 17087 grad_norm: 4.9155 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9914 loss: 1.9914 2022/08/03 15:51:56 - mmengine - INFO - Epoch(train) [30][980/1879] lr: 1.0000e-02 eta: 2 days, 2:38:12 time: 0.4328 data_time: 0.0126 memory: 17087 grad_norm: 4.8222 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9651 loss: 1.9651 2022/08/03 15:52:05 - mmengine - INFO - Epoch(train) [30][1000/1879] lr: 1.0000e-02 eta: 2 days, 2:38:04 time: 0.4286 data_time: 0.0170 memory: 17087 grad_norm: 4.8462 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8216 loss: 1.8216 2022/08/03 15:52:13 - mmengine - INFO - Epoch(train) [30][1020/1879] lr: 1.0000e-02 eta: 2 days, 2:37:55 time: 0.4253 data_time: 0.0139 memory: 17087 grad_norm: 4.7743 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9527 loss: 1.9527 2022/08/03 15:52:22 - mmengine - INFO - Epoch(train) [30][1040/1879] lr: 1.0000e-02 eta: 2 days, 2:37:45 time: 0.4247 data_time: 0.0152 memory: 17087 grad_norm: 4.8843 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8454 loss: 1.8454 2022/08/03 15:52:30 - mmengine - INFO - Epoch(train) [30][1060/1879] lr: 1.0000e-02 eta: 2 days, 2:37:36 time: 0.4236 data_time: 0.0139 memory: 17087 grad_norm: 4.8779 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5348 loss: 1.5348 2022/08/03 15:52:39 - mmengine - INFO - Epoch(train) [30][1080/1879] lr: 1.0000e-02 eta: 2 days, 2:37:28 time: 0.4282 data_time: 0.0166 memory: 17087 grad_norm: 4.8851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7276 loss: 1.7276 2022/08/03 15:52:47 - mmengine - INFO - Epoch(train) [30][1100/1879] lr: 1.0000e-02 eta: 2 days, 2:37:19 time: 0.4255 data_time: 0.0147 memory: 17087 grad_norm: 4.9391 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9163 loss: 1.9163 2022/08/03 15:52:56 - mmengine - INFO - Epoch(train) [30][1120/1879] lr: 1.0000e-02 eta: 2 days, 2:37:11 time: 0.4325 data_time: 0.0177 memory: 17087 grad_norm: 4.8230 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8839 loss: 1.8839 2022/08/03 15:53:04 - mmengine - INFO - Epoch(train) [30][1140/1879] lr: 1.0000e-02 eta: 2 days, 2:37:01 time: 0.4237 data_time: 0.0139 memory: 17087 grad_norm: 4.9506 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7338 loss: 1.7338 2022/08/03 15:53:13 - mmengine - INFO - Epoch(train) [30][1160/1879] lr: 1.0000e-02 eta: 2 days, 2:36:54 time: 0.4366 data_time: 0.0158 memory: 17087 grad_norm: 4.7864 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7980 loss: 1.7980 2022/08/03 15:53:22 - mmengine - INFO - Epoch(train) [30][1180/1879] lr: 1.0000e-02 eta: 2 days, 2:36:45 time: 0.4217 data_time: 0.0133 memory: 17087 grad_norm: 4.8069 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8497 loss: 1.8497 2022/08/03 15:53:30 - mmengine - INFO - Epoch(train) [30][1200/1879] lr: 1.0000e-02 eta: 2 days, 2:36:36 time: 0.4300 data_time: 0.0191 memory: 17087 grad_norm: 4.7397 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7591 loss: 1.7591 2022/08/03 15:53:39 - mmengine - INFO - Epoch(train) [30][1220/1879] lr: 1.0000e-02 eta: 2 days, 2:36:29 time: 0.4396 data_time: 0.0145 memory: 17087 grad_norm: 4.7465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8151 loss: 1.8151 2022/08/03 15:53:48 - mmengine - INFO - Epoch(train) [30][1240/1879] lr: 1.0000e-02 eta: 2 days, 2:36:21 time: 0.4308 data_time: 0.0155 memory: 17087 grad_norm: 4.8401 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6927 loss: 1.6927 2022/08/03 15:53:56 - mmengine - INFO - Epoch(train) [30][1260/1879] lr: 1.0000e-02 eta: 2 days, 2:36:13 time: 0.4286 data_time: 0.0155 memory: 17087 grad_norm: 4.8044 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7730 loss: 1.7730 2022/08/03 15:54:05 - mmengine - INFO - Epoch(train) [30][1280/1879] lr: 1.0000e-02 eta: 2 days, 2:36:04 time: 0.4267 data_time: 0.0154 memory: 17087 grad_norm: 4.8613 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7015 loss: 1.7015 2022/08/03 15:54:13 - mmengine - INFO - Epoch(train) [30][1300/1879] lr: 1.0000e-02 eta: 2 days, 2:35:55 time: 0.4256 data_time: 0.0152 memory: 17087 grad_norm: 4.8458 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8398 loss: 1.8398 2022/08/03 15:54:22 - mmengine - INFO - Epoch(train) [30][1320/1879] lr: 1.0000e-02 eta: 2 days, 2:35:46 time: 0.4261 data_time: 0.0172 memory: 17087 grad_norm: 4.8580 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4651 loss: 1.4651 2022/08/03 15:54:30 - mmengine - INFO - Epoch(train) [30][1340/1879] lr: 1.0000e-02 eta: 2 days, 2:35:37 time: 0.4236 data_time: 0.0135 memory: 17087 grad_norm: 4.8969 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7716 loss: 1.7716 2022/08/03 15:54:39 - mmengine - INFO - Epoch(train) [30][1360/1879] lr: 1.0000e-02 eta: 2 days, 2:35:28 time: 0.4302 data_time: 0.0167 memory: 17087 grad_norm: 4.8491 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8276 loss: 1.8276 2022/08/03 15:54:47 - mmengine - INFO - Epoch(train) [30][1380/1879] lr: 1.0000e-02 eta: 2 days, 2:35:19 time: 0.4235 data_time: 0.0135 memory: 17087 grad_norm: 4.7510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6280 loss: 1.6280 2022/08/03 15:54:56 - mmengine - INFO - Epoch(train) [30][1400/1879] lr: 1.0000e-02 eta: 2 days, 2:35:10 time: 0.4279 data_time: 0.0170 memory: 17087 grad_norm: 4.9303 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8818 loss: 1.8818 2022/08/03 15:55:05 - mmengine - INFO - Epoch(train) [30][1420/1879] lr: 1.0000e-02 eta: 2 days, 2:35:01 time: 0.4262 data_time: 0.0159 memory: 17087 grad_norm: 4.7808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7753 loss: 1.7753 2022/08/03 15:55:13 - mmengine - INFO - Epoch(train) [30][1440/1879] lr: 1.0000e-02 eta: 2 days, 2:34:53 time: 0.4319 data_time: 0.0168 memory: 17087 grad_norm: 4.7911 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7256 loss: 1.7256 2022/08/03 15:55:22 - mmengine - INFO - Epoch(train) [30][1460/1879] lr: 1.0000e-02 eta: 2 days, 2:34:44 time: 0.4226 data_time: 0.0125 memory: 17087 grad_norm: 4.9337 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.7298 loss: 1.7298 2022/08/03 15:55:30 - mmengine - INFO - Epoch(train) [30][1480/1879] lr: 1.0000e-02 eta: 2 days, 2:34:35 time: 0.4237 data_time: 0.0159 memory: 17087 grad_norm: 4.7563 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6736 loss: 1.6736 2022/08/03 15:55:39 - mmengine - INFO - Epoch(train) [30][1500/1879] lr: 1.0000e-02 eta: 2 days, 2:34:28 time: 0.4392 data_time: 0.0152 memory: 17087 grad_norm: 4.7191 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6552 loss: 1.6552 2022/08/03 15:55:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:55:47 - mmengine - INFO - Epoch(train) [30][1520/1879] lr: 1.0000e-02 eta: 2 days, 2:34:19 time: 0.4272 data_time: 0.0159 memory: 17087 grad_norm: 4.7126 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8194 loss: 1.8194 2022/08/03 15:55:56 - mmengine - INFO - Epoch(train) [30][1540/1879] lr: 1.0000e-02 eta: 2 days, 2:34:14 time: 0.4500 data_time: 0.0148 memory: 17087 grad_norm: 4.7308 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8244 loss: 1.8244 2022/08/03 15:56:05 - mmengine - INFO - Epoch(train) [30][1560/1879] lr: 1.0000e-02 eta: 2 days, 2:34:05 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 4.8246 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6775 loss: 1.6775 2022/08/03 15:56:13 - mmengine - INFO - Epoch(train) [30][1580/1879] lr: 1.0000e-02 eta: 2 days, 2:33:56 time: 0.4243 data_time: 0.0145 memory: 17087 grad_norm: 4.8356 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8326 loss: 1.8326 2022/08/03 15:56:22 - mmengine - INFO - Epoch(train) [30][1600/1879] lr: 1.0000e-02 eta: 2 days, 2:33:47 time: 0.4251 data_time: 0.0146 memory: 17087 grad_norm: 4.9666 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 2.0389 loss: 2.0389 2022/08/03 15:56:30 - mmengine - INFO - Epoch(train) [30][1620/1879] lr: 1.0000e-02 eta: 2 days, 2:33:38 time: 0.4259 data_time: 0.0144 memory: 17087 grad_norm: 4.8018 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.9499 loss: 1.9499 2022/08/03 15:56:39 - mmengine - INFO - Epoch(train) [30][1640/1879] lr: 1.0000e-02 eta: 2 days, 2:33:29 time: 0.4274 data_time: 0.0173 memory: 17087 grad_norm: 4.8523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5409 loss: 1.5409 2022/08/03 15:56:48 - mmengine - INFO - Epoch(train) [30][1660/1879] lr: 1.0000e-02 eta: 2 days, 2:33:20 time: 0.4243 data_time: 0.0141 memory: 17087 grad_norm: 4.9424 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.9691 loss: 1.9691 2022/08/03 15:56:56 - mmengine - INFO - Epoch(train) [30][1680/1879] lr: 1.0000e-02 eta: 2 days, 2:33:14 time: 0.4481 data_time: 0.0173 memory: 17087 grad_norm: 4.7134 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7352 loss: 1.7352 2022/08/03 15:57:05 - mmengine - INFO - Epoch(train) [30][1700/1879] lr: 1.0000e-02 eta: 2 days, 2:33:06 time: 0.4287 data_time: 0.0153 memory: 17087 grad_norm: 4.6849 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7338 loss: 1.7338 2022/08/03 15:57:14 - mmengine - INFO - Epoch(train) [30][1720/1879] lr: 1.0000e-02 eta: 2 days, 2:32:57 time: 0.4245 data_time: 0.0142 memory: 17087 grad_norm: 4.7204 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6793 loss: 1.6793 2022/08/03 15:57:22 - mmengine - INFO - Epoch(train) [30][1740/1879] lr: 1.0000e-02 eta: 2 days, 2:32:47 time: 0.4226 data_time: 0.0156 memory: 17087 grad_norm: 4.8090 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8939 loss: 1.8939 2022/08/03 15:57:30 - mmengine - INFO - Epoch(train) [30][1760/1879] lr: 1.0000e-02 eta: 2 days, 2:32:38 time: 0.4244 data_time: 0.0157 memory: 17087 grad_norm: 4.7022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8205 loss: 1.8205 2022/08/03 15:57:39 - mmengine - INFO - Epoch(train) [30][1780/1879] lr: 1.0000e-02 eta: 2 days, 2:32:32 time: 0.4457 data_time: 0.0156 memory: 17087 grad_norm: 4.7377 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.7661 loss: 1.7661 2022/08/03 15:57:48 - mmengine - INFO - Epoch(train) [30][1800/1879] lr: 1.0000e-02 eta: 2 days, 2:32:23 time: 0.4276 data_time: 0.0155 memory: 17087 grad_norm: 4.8626 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6575 loss: 1.6575 2022/08/03 15:57:57 - mmengine - INFO - Epoch(train) [30][1820/1879] lr: 1.0000e-02 eta: 2 days, 2:32:15 time: 0.4334 data_time: 0.0151 memory: 17087 grad_norm: 4.8291 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7045 loss: 1.7045 2022/08/03 15:58:05 - mmengine - INFO - Epoch(train) [30][1840/1879] lr: 1.0000e-02 eta: 2 days, 2:32:07 time: 0.4258 data_time: 0.0164 memory: 17087 grad_norm: 4.8461 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8298 loss: 1.8298 2022/08/03 15:58:14 - mmengine - INFO - Epoch(train) [30][1860/1879] lr: 1.0000e-02 eta: 2 days, 2:31:57 time: 0.4251 data_time: 0.0155 memory: 17087 grad_norm: 4.9406 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8211 loss: 1.8211 2022/08/03 15:58:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 15:58:21 - mmengine - INFO - Epoch(train) [30][1879/1879] lr: 1.0000e-02 eta: 2 days, 2:31:57 time: 0.4046 data_time: 0.0136 memory: 17087 grad_norm: 4.9476 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.8291 loss: 1.8291 2022/08/03 15:58:29 - mmengine - INFO - Epoch(val) [30][20/155] eta: 0:00:49 time: 0.3652 data_time: 0.1963 memory: 2821 2022/08/03 15:58:33 - mmengine - INFO - Epoch(val) [30][40/155] eta: 0:00:27 time: 0.2409 data_time: 0.0724 memory: 2821 2022/08/03 15:58:40 - mmengine - INFO - Epoch(val) [30][60/155] eta: 0:00:29 time: 0.3094 data_time: 0.1429 memory: 2821 2022/08/03 15:58:45 - mmengine - INFO - Epoch(val) [30][80/155] eta: 0:00:20 time: 0.2764 data_time: 0.1035 memory: 2821 2022/08/03 15:58:51 - mmengine - INFO - Epoch(val) [30][100/155] eta: 0:00:16 time: 0.3079 data_time: 0.1403 memory: 2821 2022/08/03 15:58:57 - mmengine - INFO - Epoch(val) [30][120/155] eta: 0:00:09 time: 0.2829 data_time: 0.1151 memory: 2821 2022/08/03 15:59:04 - mmengine - INFO - Epoch(val) [30][140/155] eta: 0:00:04 time: 0.3303 data_time: 0.1602 memory: 2821 2022/08/03 15:59:08 - mmengine - INFO - Epoch(val) [30][155/155] acc/top1: 0.6431 acc/top5: 0.8530 acc/mean1: 0.6429 2022/08/03 15:59:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_26.pth is removed 2022/08/03 15:59:11 - mmengine - INFO - The best checkpoint with 0.6431 acc/top1 at 31 epoch is saved to best_acc/top1_epoch_31.pth. 2022/08/03 15:59:21 - mmengine - INFO - Epoch(train) [31][20/1879] lr: 1.0000e-02 eta: 2 days, 2:30:53 time: 0.5161 data_time: 0.1064 memory: 17087 grad_norm: 4.6827 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6337 loss: 1.6337 2022/08/03 15:59:30 - mmengine - INFO - Epoch(train) [31][40/1879] lr: 1.0000e-02 eta: 2 days, 2:30:45 time: 0.4357 data_time: 0.0162 memory: 17087 grad_norm: 4.8410 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6078 loss: 1.6078 2022/08/03 15:59:39 - mmengine - INFO - Epoch(train) [31][60/1879] lr: 1.0000e-02 eta: 2 days, 2:30:37 time: 0.4282 data_time: 0.0139 memory: 17087 grad_norm: 4.9801 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7463 loss: 1.7463 2022/08/03 15:59:47 - mmengine - INFO - Epoch(train) [31][80/1879] lr: 1.0000e-02 eta: 2 days, 2:30:29 time: 0.4346 data_time: 0.0159 memory: 17087 grad_norm: 4.7917 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6943 loss: 1.6943 2022/08/03 15:59:56 - mmengine - INFO - Epoch(train) [31][100/1879] lr: 1.0000e-02 eta: 2 days, 2:30:20 time: 0.4279 data_time: 0.0157 memory: 17087 grad_norm: 4.9660 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8457 loss: 1.8457 2022/08/03 16:00:04 - mmengine - INFO - Epoch(train) [31][120/1879] lr: 1.0000e-02 eta: 2 days, 2:30:12 time: 0.4285 data_time: 0.0163 memory: 17087 grad_norm: 4.9202 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5790 loss: 1.5790 2022/08/03 16:00:13 - mmengine - INFO - Epoch(train) [31][140/1879] lr: 1.0000e-02 eta: 2 days, 2:30:03 time: 0.4266 data_time: 0.0147 memory: 17087 grad_norm: 4.8075 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8117 loss: 1.8117 2022/08/03 16:00:21 - mmengine - INFO - Epoch(train) [31][160/1879] lr: 1.0000e-02 eta: 2 days, 2:29:54 time: 0.4249 data_time: 0.0151 memory: 17087 grad_norm: 4.7862 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6225 loss: 1.6225 2022/08/03 16:00:30 - mmengine - INFO - Epoch(train) [31][180/1879] lr: 1.0000e-02 eta: 2 days, 2:29:47 time: 0.4404 data_time: 0.0142 memory: 17087 grad_norm: 4.6743 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6923 loss: 1.6923 2022/08/03 16:00:39 - mmengine - INFO - Epoch(train) [31][200/1879] lr: 1.0000e-02 eta: 2 days, 2:29:39 time: 0.4286 data_time: 0.0155 memory: 17087 grad_norm: 4.9691 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7018 loss: 1.7018 2022/08/03 16:00:47 - mmengine - INFO - Epoch(train) [31][220/1879] lr: 1.0000e-02 eta: 2 days, 2:29:30 time: 0.4281 data_time: 0.0165 memory: 17087 grad_norm: 4.7462 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6605 loss: 1.6605 2022/08/03 16:00:56 - mmengine - INFO - Epoch(train) [31][240/1879] lr: 1.0000e-02 eta: 2 days, 2:29:23 time: 0.4354 data_time: 0.0158 memory: 17087 grad_norm: 4.9029 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9639 loss: 1.9639 2022/08/03 16:01:05 - mmengine - INFO - Epoch(train) [31][260/1879] lr: 1.0000e-02 eta: 2 days, 2:29:14 time: 0.4284 data_time: 0.0138 memory: 17087 grad_norm: 4.8128 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8263 loss: 1.8263 2022/08/03 16:01:13 - mmengine - INFO - Epoch(train) [31][280/1879] lr: 1.0000e-02 eta: 2 days, 2:29:05 time: 0.4267 data_time: 0.0170 memory: 17087 grad_norm: 4.8301 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8807 loss: 1.8807 2022/08/03 16:01:22 - mmengine - INFO - Epoch(train) [31][300/1879] lr: 1.0000e-02 eta: 2 days, 2:28:56 time: 0.4239 data_time: 0.0139 memory: 17087 grad_norm: 4.8792 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8146 loss: 1.8146 2022/08/03 16:01:31 - mmengine - INFO - Epoch(train) [31][320/1879] lr: 1.0000e-02 eta: 2 days, 2:28:50 time: 0.4480 data_time: 0.0164 memory: 17087 grad_norm: 4.8270 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5589 loss: 1.5589 2022/08/03 16:01:39 - mmengine - INFO - Epoch(train) [31][340/1879] lr: 1.0000e-02 eta: 2 days, 2:28:42 time: 0.4276 data_time: 0.0153 memory: 17087 grad_norm: 4.9803 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6912 loss: 1.6912 2022/08/03 16:01:48 - mmengine - INFO - Epoch(train) [31][360/1879] lr: 1.0000e-02 eta: 2 days, 2:28:35 time: 0.4409 data_time: 0.0160 memory: 17087 grad_norm: 5.0597 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7285 loss: 1.7285 2022/08/03 16:01:57 - mmengine - INFO - Epoch(train) [31][380/1879] lr: 1.0000e-02 eta: 2 days, 2:28:26 time: 0.4233 data_time: 0.0138 memory: 17087 grad_norm: 4.7710 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7811 loss: 1.7811 2022/08/03 16:02:05 - mmengine - INFO - Epoch(train) [31][400/1879] lr: 1.0000e-02 eta: 2 days, 2:28:18 time: 0.4323 data_time: 0.0157 memory: 17087 grad_norm: 4.8124 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7508 loss: 1.7508 2022/08/03 16:02:14 - mmengine - INFO - Epoch(train) [31][420/1879] lr: 1.0000e-02 eta: 2 days, 2:28:09 time: 0.4252 data_time: 0.0143 memory: 17087 grad_norm: 4.8855 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8463 loss: 1.8463 2022/08/03 16:02:22 - mmengine - INFO - Epoch(train) [31][440/1879] lr: 1.0000e-02 eta: 2 days, 2:28:00 time: 0.4262 data_time: 0.0150 memory: 17087 grad_norm: 4.8988 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6422 loss: 1.6422 2022/08/03 16:02:31 - mmengine - INFO - Epoch(train) [31][460/1879] lr: 1.0000e-02 eta: 2 days, 2:27:55 time: 0.4509 data_time: 0.0152 memory: 17087 grad_norm: 4.7681 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6698 loss: 1.6698 2022/08/03 16:02:40 - mmengine - INFO - Epoch(train) [31][480/1879] lr: 1.0000e-02 eta: 2 days, 2:27:46 time: 0.4264 data_time: 0.0153 memory: 17087 grad_norm: 4.8820 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6664 loss: 1.6664 2022/08/03 16:02:49 - mmengine - INFO - Epoch(train) [31][500/1879] lr: 1.0000e-02 eta: 2 days, 2:27:41 time: 0.4523 data_time: 0.0159 memory: 17087 grad_norm: 4.7812 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7190 loss: 1.7190 2022/08/03 16:02:57 - mmengine - INFO - Epoch(train) [31][520/1879] lr: 1.0000e-02 eta: 2 days, 2:27:32 time: 0.4252 data_time: 0.0154 memory: 17087 grad_norm: 4.7202 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6331 loss: 1.6331 2022/08/03 16:03:06 - mmengine - INFO - Epoch(train) [31][540/1879] lr: 1.0000e-02 eta: 2 days, 2:27:24 time: 0.4331 data_time: 0.0158 memory: 17087 grad_norm: 4.8680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5297 loss: 1.5297 2022/08/03 16:03:14 - mmengine - INFO - Epoch(train) [31][560/1879] lr: 1.0000e-02 eta: 2 days, 2:27:15 time: 0.4247 data_time: 0.0157 memory: 17087 grad_norm: 4.8767 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6740 loss: 1.6740 2022/08/03 16:03:24 - mmengine - INFO - Epoch(train) [31][580/1879] lr: 1.0000e-02 eta: 2 days, 2:27:10 time: 0.4516 data_time: 0.0142 memory: 17087 grad_norm: 4.8361 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7141 loss: 1.7141 2022/08/03 16:03:32 - mmengine - INFO - Epoch(train) [31][600/1879] lr: 1.0000e-02 eta: 2 days, 2:27:01 time: 0.4250 data_time: 0.0147 memory: 17087 grad_norm: 4.7890 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6897 loss: 1.6897 2022/08/03 16:03:41 - mmengine - INFO - Epoch(train) [31][620/1879] lr: 1.0000e-02 eta: 2 days, 2:26:52 time: 0.4240 data_time: 0.0149 memory: 17087 grad_norm: 4.8504 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5532 loss: 1.5532 2022/08/03 16:03:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:03:49 - mmengine - INFO - Epoch(train) [31][640/1879] lr: 1.0000e-02 eta: 2 days, 2:26:43 time: 0.4312 data_time: 0.0202 memory: 17087 grad_norm: 4.6395 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5765 loss: 1.5765 2022/08/03 16:03:58 - mmengine - INFO - Epoch(train) [31][660/1879] lr: 1.0000e-02 eta: 2 days, 2:26:34 time: 0.4232 data_time: 0.0136 memory: 17087 grad_norm: 4.6908 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5380 loss: 1.5380 2022/08/03 16:04:06 - mmengine - INFO - Epoch(train) [31][680/1879] lr: 1.0000e-02 eta: 2 days, 2:26:27 time: 0.4389 data_time: 0.0164 memory: 17087 grad_norm: 4.6647 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7133 loss: 1.7133 2022/08/03 16:04:15 - mmengine - INFO - Epoch(train) [31][700/1879] lr: 1.0000e-02 eta: 2 days, 2:26:18 time: 0.4251 data_time: 0.0160 memory: 17087 grad_norm: 4.8095 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6803 loss: 1.6803 2022/08/03 16:04:24 - mmengine - INFO - Epoch(train) [31][720/1879] lr: 1.0000e-02 eta: 2 days, 2:26:10 time: 0.4299 data_time: 0.0173 memory: 17087 grad_norm: 4.8304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8101 loss: 1.8101 2022/08/03 16:04:32 - mmengine - INFO - Epoch(train) [31][740/1879] lr: 1.0000e-02 eta: 2 days, 2:26:00 time: 0.4223 data_time: 0.0134 memory: 17087 grad_norm: 4.8294 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8578 loss: 1.8578 2022/08/03 16:04:41 - mmengine - INFO - Epoch(train) [31][760/1879] lr: 1.0000e-02 eta: 2 days, 2:25:52 time: 0.4283 data_time: 0.0187 memory: 17087 grad_norm: 4.8354 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.5818 loss: 1.5818 2022/08/03 16:04:49 - mmengine - INFO - Epoch(train) [31][780/1879] lr: 1.0000e-02 eta: 2 days, 2:25:43 time: 0.4270 data_time: 0.0137 memory: 17087 grad_norm: 4.6463 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7402 loss: 1.7402 2022/08/03 16:04:58 - mmengine - INFO - Epoch(train) [31][800/1879] lr: 1.0000e-02 eta: 2 days, 2:25:34 time: 0.4254 data_time: 0.0170 memory: 17087 grad_norm: 4.7366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5562 loss: 1.5562 2022/08/03 16:05:06 - mmengine - INFO - Epoch(train) [31][820/1879] lr: 1.0000e-02 eta: 2 days, 2:25:27 time: 0.4371 data_time: 0.0142 memory: 17087 grad_norm: 4.8734 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.7385 loss: 1.7385 2022/08/03 16:05:15 - mmengine - INFO - Epoch(train) [31][840/1879] lr: 1.0000e-02 eta: 2 days, 2:25:18 time: 0.4247 data_time: 0.0152 memory: 17087 grad_norm: 4.8741 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8598 loss: 1.8598 2022/08/03 16:05:24 - mmengine - INFO - Epoch(train) [31][860/1879] lr: 1.0000e-02 eta: 2 days, 2:25:10 time: 0.4374 data_time: 0.0168 memory: 17087 grad_norm: 4.8993 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8272 loss: 1.8272 2022/08/03 16:05:32 - mmengine - INFO - Epoch(train) [31][880/1879] lr: 1.0000e-02 eta: 2 days, 2:25:02 time: 0.4263 data_time: 0.0162 memory: 17087 grad_norm: 4.8509 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6794 loss: 1.6794 2022/08/03 16:05:41 - mmengine - INFO - Epoch(train) [31][900/1879] lr: 1.0000e-02 eta: 2 days, 2:24:52 time: 0.4243 data_time: 0.0150 memory: 17087 grad_norm: 4.8088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7122 loss: 1.7122 2022/08/03 16:05:50 - mmengine - INFO - Epoch(train) [31][920/1879] lr: 1.0000e-02 eta: 2 days, 2:24:47 time: 0.4501 data_time: 0.0182 memory: 17087 grad_norm: 4.6656 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6131 loss: 1.6131 2022/08/03 16:05:58 - mmengine - INFO - Epoch(train) [31][940/1879] lr: 1.0000e-02 eta: 2 days, 2:24:39 time: 0.4293 data_time: 0.0159 memory: 17087 grad_norm: 4.7884 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7458 loss: 1.7458 2022/08/03 16:06:07 - mmengine - INFO - Epoch(train) [31][960/1879] lr: 1.0000e-02 eta: 2 days, 2:24:30 time: 0.4245 data_time: 0.0146 memory: 17087 grad_norm: 4.9384 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9495 loss: 1.9495 2022/08/03 16:06:16 - mmengine - INFO - Epoch(train) [31][980/1879] lr: 1.0000e-02 eta: 2 days, 2:24:24 time: 0.4477 data_time: 0.0161 memory: 17087 grad_norm: 4.8593 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8856 loss: 1.8856 2022/08/03 16:06:24 - mmengine - INFO - Epoch(train) [31][1000/1879] lr: 1.0000e-02 eta: 2 days, 2:24:15 time: 0.4289 data_time: 0.0203 memory: 17087 grad_norm: 4.6794 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3050 loss: 1.3050 2022/08/03 16:06:33 - mmengine - INFO - Epoch(train) [31][1020/1879] lr: 1.0000e-02 eta: 2 days, 2:24:06 time: 0.4225 data_time: 0.0139 memory: 17087 grad_norm: 4.7454 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6475 loss: 1.6475 2022/08/03 16:06:41 - mmengine - INFO - Epoch(train) [31][1040/1879] lr: 1.0000e-02 eta: 2 days, 2:23:59 time: 0.4386 data_time: 0.0149 memory: 17087 grad_norm: 4.8439 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7172 loss: 1.7172 2022/08/03 16:06:50 - mmengine - INFO - Epoch(train) [31][1060/1879] lr: 1.0000e-02 eta: 2 days, 2:23:50 time: 0.4240 data_time: 0.0137 memory: 17087 grad_norm: 4.8287 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8495 loss: 1.8495 2022/08/03 16:06:59 - mmengine - INFO - Epoch(train) [31][1080/1879] lr: 1.0000e-02 eta: 2 days, 2:23:44 time: 0.4467 data_time: 0.0158 memory: 17087 grad_norm: 4.7962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6242 loss: 1.6242 2022/08/03 16:07:07 - mmengine - INFO - Epoch(train) [31][1100/1879] lr: 1.0000e-02 eta: 2 days, 2:23:35 time: 0.4287 data_time: 0.0184 memory: 17087 grad_norm: 4.7554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8021 loss: 1.8021 2022/08/03 16:07:16 - mmengine - INFO - Epoch(train) [31][1120/1879] lr: 1.0000e-02 eta: 2 days, 2:23:28 time: 0.4334 data_time: 0.0172 memory: 17087 grad_norm: 4.8152 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6523 loss: 1.6523 2022/08/03 16:07:25 - mmengine - INFO - Epoch(train) [31][1140/1879] lr: 1.0000e-02 eta: 2 days, 2:23:18 time: 0.4221 data_time: 0.0156 memory: 17087 grad_norm: 4.8311 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8721 loss: 1.8721 2022/08/03 16:07:33 - mmengine - INFO - Epoch(train) [31][1160/1879] lr: 1.0000e-02 eta: 2 days, 2:23:10 time: 0.4315 data_time: 0.0176 memory: 17087 grad_norm: 4.9076 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.9261 loss: 1.9261 2022/08/03 16:07:42 - mmengine - INFO - Epoch(train) [31][1180/1879] lr: 1.0000e-02 eta: 2 days, 2:23:02 time: 0.4308 data_time: 0.0133 memory: 17087 grad_norm: 4.8370 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7751 loss: 1.7751 2022/08/03 16:07:50 - mmengine - INFO - Epoch(train) [31][1200/1879] lr: 1.0000e-02 eta: 2 days, 2:22:54 time: 0.4329 data_time: 0.0179 memory: 17087 grad_norm: 4.8552 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8670 loss: 1.8670 2022/08/03 16:07:59 - mmengine - INFO - Epoch(train) [31][1220/1879] lr: 1.0000e-02 eta: 2 days, 2:22:46 time: 0.4300 data_time: 0.0140 memory: 17087 grad_norm: 4.7017 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7687 loss: 1.7687 2022/08/03 16:08:08 - mmengine - INFO - Epoch(train) [31][1240/1879] lr: 1.0000e-02 eta: 2 days, 2:22:37 time: 0.4301 data_time: 0.0225 memory: 17087 grad_norm: 4.6867 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8489 loss: 1.8489 2022/08/03 16:08:17 - mmengine - INFO - Epoch(train) [31][1260/1879] lr: 1.0000e-02 eta: 2 days, 2:22:31 time: 0.4442 data_time: 0.0157 memory: 17087 grad_norm: 4.8364 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8054 loss: 1.8054 2022/08/03 16:08:25 - mmengine - INFO - Epoch(train) [31][1280/1879] lr: 1.0000e-02 eta: 2 days, 2:22:23 time: 0.4317 data_time: 0.0224 memory: 17087 grad_norm: 4.7406 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7133 loss: 1.7133 2022/08/03 16:08:34 - mmengine - INFO - Epoch(train) [31][1300/1879] lr: 1.0000e-02 eta: 2 days, 2:22:15 time: 0.4324 data_time: 0.0145 memory: 17087 grad_norm: 4.7692 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6838 loss: 1.6838 2022/08/03 16:08:42 - mmengine - INFO - Epoch(train) [31][1320/1879] lr: 1.0000e-02 eta: 2 days, 2:22:06 time: 0.4236 data_time: 0.0158 memory: 17087 grad_norm: 4.7674 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8198 loss: 1.8198 2022/08/03 16:08:51 - mmengine - INFO - Epoch(train) [31][1340/1879] lr: 1.0000e-02 eta: 2 days, 2:21:57 time: 0.4274 data_time: 0.0152 memory: 17087 grad_norm: 4.8166 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6965 loss: 1.6965 2022/08/03 16:09:00 - mmengine - INFO - Epoch(train) [31][1360/1879] lr: 1.0000e-02 eta: 2 days, 2:21:50 time: 0.4422 data_time: 0.0173 memory: 17087 grad_norm: 4.7249 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6427 loss: 1.6427 2022/08/03 16:09:08 - mmengine - INFO - Epoch(train) [31][1380/1879] lr: 1.0000e-02 eta: 2 days, 2:21:41 time: 0.4226 data_time: 0.0142 memory: 17087 grad_norm: 4.9276 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9063 loss: 1.9063 2022/08/03 16:09:17 - mmengine - INFO - Epoch(train) [31][1400/1879] lr: 1.0000e-02 eta: 2 days, 2:21:35 time: 0.4440 data_time: 0.0164 memory: 17087 grad_norm: 4.8987 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8004 loss: 1.8004 2022/08/03 16:09:26 - mmengine - INFO - Epoch(train) [31][1420/1879] lr: 1.0000e-02 eta: 2 days, 2:21:26 time: 0.4287 data_time: 0.0190 memory: 17087 grad_norm: 4.8494 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8822 loss: 1.8822 2022/08/03 16:09:35 - mmengine - INFO - Epoch(train) [31][1440/1879] lr: 1.0000e-02 eta: 2 days, 2:21:21 time: 0.4499 data_time: 0.0170 memory: 17087 grad_norm: 4.8350 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8733 loss: 1.8733 2022/08/03 16:09:43 - mmengine - INFO - Epoch(train) [31][1460/1879] lr: 1.0000e-02 eta: 2 days, 2:21:12 time: 0.4232 data_time: 0.0148 memory: 17087 grad_norm: 4.8683 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8562 loss: 1.8562 2022/08/03 16:09:52 - mmengine - INFO - Epoch(train) [31][1480/1879] lr: 1.0000e-02 eta: 2 days, 2:21:03 time: 0.4289 data_time: 0.0205 memory: 17087 grad_norm: 4.8613 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9212 loss: 1.9212 2022/08/03 16:10:00 - mmengine - INFO - Epoch(train) [31][1500/1879] lr: 1.0000e-02 eta: 2 days, 2:20:55 time: 0.4339 data_time: 0.0143 memory: 17087 grad_norm: 4.7625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6144 loss: 1.6144 2022/08/03 16:10:09 - mmengine - INFO - Epoch(train) [31][1520/1879] lr: 1.0000e-02 eta: 2 days, 2:20:47 time: 0.4293 data_time: 0.0224 memory: 17087 grad_norm: 4.7000 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9327 loss: 1.9327 2022/08/03 16:10:18 - mmengine - INFO - Epoch(train) [31][1540/1879] lr: 1.0000e-02 eta: 2 days, 2:20:41 time: 0.4475 data_time: 0.0137 memory: 17087 grad_norm: 4.6194 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6449 loss: 1.6449 2022/08/03 16:10:27 - mmengine - INFO - Epoch(train) [31][1560/1879] lr: 1.0000e-02 eta: 2 days, 2:20:32 time: 0.4271 data_time: 0.0169 memory: 17087 grad_norm: 4.8015 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6806 loss: 1.6806 2022/08/03 16:10:35 - mmengine - INFO - Epoch(train) [31][1580/1879] lr: 1.0000e-02 eta: 2 days, 2:20:26 time: 0.4415 data_time: 0.0129 memory: 17087 grad_norm: 4.8491 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6311 loss: 1.6311 2022/08/03 16:10:44 - mmengine - INFO - Epoch(train) [31][1600/1879] lr: 1.0000e-02 eta: 2 days, 2:20:19 time: 0.4390 data_time: 0.0238 memory: 17087 grad_norm: 4.7906 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7540 loss: 1.7540 2022/08/03 16:10:53 - mmengine - INFO - Epoch(train) [31][1620/1879] lr: 1.0000e-02 eta: 2 days, 2:20:09 time: 0.4213 data_time: 0.0127 memory: 17087 grad_norm: 4.8377 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6808 loss: 1.6808 2022/08/03 16:10:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:11:02 - mmengine - INFO - Epoch(train) [31][1640/1879] lr: 1.0000e-02 eta: 2 days, 2:20:04 time: 0.4499 data_time: 0.0165 memory: 17087 grad_norm: 4.8716 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7173 loss: 1.7173 2022/08/03 16:11:10 - mmengine - INFO - Epoch(train) [31][1660/1879] lr: 1.0000e-02 eta: 2 days, 2:19:56 time: 0.4321 data_time: 0.0189 memory: 17087 grad_norm: 4.6730 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6251 loss: 1.6251 2022/08/03 16:11:19 - mmengine - INFO - Epoch(train) [31][1680/1879] lr: 1.0000e-02 eta: 2 days, 2:19:47 time: 0.4252 data_time: 0.0179 memory: 17087 grad_norm: 4.7751 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8346 loss: 1.8346 2022/08/03 16:11:27 - mmengine - INFO - Epoch(train) [31][1700/1879] lr: 1.0000e-02 eta: 2 days, 2:19:38 time: 0.4277 data_time: 0.0135 memory: 17087 grad_norm: 4.7699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6506 loss: 1.6506 2022/08/03 16:11:36 - mmengine - INFO - Epoch(train) [31][1720/1879] lr: 1.0000e-02 eta: 2 days, 2:19:29 time: 0.4267 data_time: 0.0177 memory: 17087 grad_norm: 4.7587 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8055 loss: 1.8055 2022/08/03 16:11:45 - mmengine - INFO - Epoch(train) [31][1740/1879] lr: 1.0000e-02 eta: 2 days, 2:19:22 time: 0.4368 data_time: 0.0137 memory: 17087 grad_norm: 4.7970 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6814 loss: 1.6814 2022/08/03 16:11:53 - mmengine - INFO - Epoch(train) [31][1760/1879] lr: 1.0000e-02 eta: 2 days, 2:19:13 time: 0.4272 data_time: 0.0164 memory: 17087 grad_norm: 4.9198 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7952 loss: 1.7952 2022/08/03 16:12:02 - mmengine - INFO - Epoch(train) [31][1780/1879] lr: 1.0000e-02 eta: 2 days, 2:19:04 time: 0.4275 data_time: 0.0187 memory: 17087 grad_norm: 4.8699 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7676 loss: 1.7676 2022/08/03 16:12:11 - mmengine - INFO - Epoch(train) [31][1800/1879] lr: 1.0000e-02 eta: 2 days, 2:19:00 time: 0.4562 data_time: 0.0170 memory: 17087 grad_norm: 4.8725 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8856 loss: 1.8856 2022/08/03 16:12:19 - mmengine - INFO - Epoch(train) [31][1820/1879] lr: 1.0000e-02 eta: 2 days, 2:18:50 time: 0.4202 data_time: 0.0135 memory: 17087 grad_norm: 4.7005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8296 loss: 1.8296 2022/08/03 16:12:28 - mmengine - INFO - Epoch(train) [31][1840/1879] lr: 1.0000e-02 eta: 2 days, 2:18:42 time: 0.4333 data_time: 0.0162 memory: 17087 grad_norm: 4.6661 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7104 loss: 1.7104 2022/08/03 16:12:36 - mmengine - INFO - Epoch(train) [31][1860/1879] lr: 1.0000e-02 eta: 2 days, 2:18:33 time: 0.4231 data_time: 0.0144 memory: 17087 grad_norm: 4.7298 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6649 loss: 1.6649 2022/08/03 16:12:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:12:44 - mmengine - INFO - Epoch(train) [31][1879/1879] lr: 1.0000e-02 eta: 2 days, 2:18:33 time: 0.4078 data_time: 0.0141 memory: 17087 grad_norm: 5.0137 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7891 loss: 1.7891 2022/08/03 16:12:55 - mmengine - INFO - Epoch(train) [32][20/1879] lr: 1.0000e-02 eta: 2 days, 2:17:37 time: 0.5680 data_time: 0.1208 memory: 17087 grad_norm: 4.8657 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5885 loss: 1.5885 2022/08/03 16:13:04 - mmengine - INFO - Epoch(train) [32][40/1879] lr: 1.0000e-02 eta: 2 days, 2:17:29 time: 0.4283 data_time: 0.0193 memory: 17087 grad_norm: 4.7215 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7265 loss: 1.7265 2022/08/03 16:13:13 - mmengine - INFO - Epoch(train) [32][60/1879] lr: 1.0000e-02 eta: 2 days, 2:17:20 time: 0.4238 data_time: 0.0125 memory: 17087 grad_norm: 4.7799 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7735 loss: 1.7735 2022/08/03 16:13:21 - mmengine - INFO - Epoch(train) [32][80/1879] lr: 1.0000e-02 eta: 2 days, 2:17:11 time: 0.4287 data_time: 0.0163 memory: 17087 grad_norm: 4.8398 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7228 loss: 1.7228 2022/08/03 16:13:30 - mmengine - INFO - Epoch(train) [32][100/1879] lr: 1.0000e-02 eta: 2 days, 2:17:02 time: 0.4251 data_time: 0.0139 memory: 17087 grad_norm: 4.8031 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7803 loss: 1.7803 2022/08/03 16:13:38 - mmengine - INFO - Epoch(train) [32][120/1879] lr: 1.0000e-02 eta: 2 days, 2:16:53 time: 0.4253 data_time: 0.0158 memory: 17087 grad_norm: 4.7585 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8451 loss: 1.8451 2022/08/03 16:13:47 - mmengine - INFO - Epoch(train) [32][140/1879] lr: 1.0000e-02 eta: 2 days, 2:16:45 time: 0.4292 data_time: 0.0146 memory: 17087 grad_norm: 4.8713 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8933 loss: 1.8933 2022/08/03 16:13:55 - mmengine - INFO - Epoch(train) [32][160/1879] lr: 1.0000e-02 eta: 2 days, 2:16:37 time: 0.4344 data_time: 0.0166 memory: 17087 grad_norm: 4.9554 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7433 loss: 1.7433 2022/08/03 16:14:04 - mmengine - INFO - Epoch(train) [32][180/1879] lr: 1.0000e-02 eta: 2 days, 2:16:28 time: 0.4250 data_time: 0.0140 memory: 17087 grad_norm: 4.7116 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7403 loss: 1.7403 2022/08/03 16:14:13 - mmengine - INFO - Epoch(train) [32][200/1879] lr: 1.0000e-02 eta: 2 days, 2:16:21 time: 0.4404 data_time: 0.0155 memory: 17087 grad_norm: 4.9752 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8816 loss: 1.8816 2022/08/03 16:14:21 - mmengine - INFO - Epoch(train) [32][220/1879] lr: 1.0000e-02 eta: 2 days, 2:16:12 time: 0.4237 data_time: 0.0142 memory: 17087 grad_norm: 4.8224 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.8405 loss: 1.8405 2022/08/03 16:14:30 - mmengine - INFO - Epoch(train) [32][240/1879] lr: 1.0000e-02 eta: 2 days, 2:16:04 time: 0.4342 data_time: 0.0166 memory: 17087 grad_norm: 4.8204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.9174 loss: 1.9174 2022/08/03 16:14:38 - mmengine - INFO - Epoch(train) [32][260/1879] lr: 1.0000e-02 eta: 2 days, 2:15:56 time: 0.4290 data_time: 0.0141 memory: 17087 grad_norm: 4.7343 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8405 loss: 1.8405 2022/08/03 16:14:47 - mmengine - INFO - Epoch(train) [32][280/1879] lr: 1.0000e-02 eta: 2 days, 2:15:47 time: 0.4251 data_time: 0.0159 memory: 17087 grad_norm: 4.7345 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6823 loss: 1.6823 2022/08/03 16:14:55 - mmengine - INFO - Epoch(train) [32][300/1879] lr: 1.0000e-02 eta: 2 days, 2:15:38 time: 0.4247 data_time: 0.0131 memory: 17087 grad_norm: 4.8600 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8545 loss: 1.8545 2022/08/03 16:15:04 - mmengine - INFO - Epoch(train) [32][320/1879] lr: 1.0000e-02 eta: 2 days, 2:15:29 time: 0.4278 data_time: 0.0168 memory: 17087 grad_norm: 4.8460 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7342 loss: 1.7342 2022/08/03 16:15:13 - mmengine - INFO - Epoch(train) [32][340/1879] lr: 1.0000e-02 eta: 2 days, 2:15:20 time: 0.4253 data_time: 0.0123 memory: 17087 grad_norm: 4.9815 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.9105 loss: 1.9105 2022/08/03 16:15:21 - mmengine - INFO - Epoch(train) [32][360/1879] lr: 1.0000e-02 eta: 2 days, 2:15:11 time: 0.4276 data_time: 0.0163 memory: 17087 grad_norm: 4.8891 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6694 loss: 1.6694 2022/08/03 16:15:30 - mmengine - INFO - Epoch(train) [32][380/1879] lr: 1.0000e-02 eta: 2 days, 2:15:03 time: 0.4283 data_time: 0.0154 memory: 17087 grad_norm: 4.7968 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6523 loss: 1.6523 2022/08/03 16:15:38 - mmengine - INFO - Epoch(train) [32][400/1879] lr: 1.0000e-02 eta: 2 days, 2:14:54 time: 0.4268 data_time: 0.0150 memory: 17087 grad_norm: 4.8244 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7560 loss: 1.7560 2022/08/03 16:15:47 - mmengine - INFO - Epoch(train) [32][420/1879] lr: 1.0000e-02 eta: 2 days, 2:14:45 time: 0.4265 data_time: 0.0172 memory: 17087 grad_norm: 4.8358 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6079 loss: 1.6079 2022/08/03 16:15:55 - mmengine - INFO - Epoch(train) [32][440/1879] lr: 1.0000e-02 eta: 2 days, 2:14:37 time: 0.4287 data_time: 0.0162 memory: 17087 grad_norm: 4.7218 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8224 loss: 1.8224 2022/08/03 16:16:04 - mmengine - INFO - Epoch(train) [32][460/1879] lr: 1.0000e-02 eta: 2 days, 2:14:27 time: 0.4232 data_time: 0.0127 memory: 17087 grad_norm: 4.7512 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7277 loss: 1.7277 2022/08/03 16:16:12 - mmengine - INFO - Epoch(train) [32][480/1879] lr: 1.0000e-02 eta: 2 days, 2:14:20 time: 0.4346 data_time: 0.0167 memory: 17087 grad_norm: 4.8634 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8192 loss: 1.8192 2022/08/03 16:16:21 - mmengine - INFO - Epoch(train) [32][500/1879] lr: 1.0000e-02 eta: 2 days, 2:14:11 time: 0.4246 data_time: 0.0136 memory: 17087 grad_norm: 4.7975 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7304 loss: 1.7304 2022/08/03 16:16:30 - mmengine - INFO - Epoch(train) [32][520/1879] lr: 1.0000e-02 eta: 2 days, 2:14:03 time: 0.4337 data_time: 0.0168 memory: 17087 grad_norm: 4.8468 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 2.1642 loss: 2.1642 2022/08/03 16:16:38 - mmengine - INFO - Epoch(train) [32][540/1879] lr: 1.0000e-02 eta: 2 days, 2:13:54 time: 0.4245 data_time: 0.0152 memory: 17087 grad_norm: 4.7417 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7859 loss: 1.7859 2022/08/03 16:16:47 - mmengine - INFO - Epoch(train) [32][560/1879] lr: 1.0000e-02 eta: 2 days, 2:13:45 time: 0.4307 data_time: 0.0151 memory: 17087 grad_norm: 4.8889 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8019 loss: 1.8019 2022/08/03 16:16:55 - mmengine - INFO - Epoch(train) [32][580/1879] lr: 1.0000e-02 eta: 2 days, 2:13:38 time: 0.4339 data_time: 0.0195 memory: 17087 grad_norm: 4.8209 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8519 loss: 1.8519 2022/08/03 16:17:05 - mmengine - INFO - Epoch(train) [32][600/1879] lr: 1.0000e-02 eta: 2 days, 2:13:33 time: 0.4554 data_time: 0.0163 memory: 17087 grad_norm: 4.7797 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6225 loss: 1.6225 2022/08/03 16:17:13 - mmengine - INFO - Epoch(train) [32][620/1879] lr: 1.0000e-02 eta: 2 days, 2:13:24 time: 0.4234 data_time: 0.0134 memory: 17087 grad_norm: 4.9298 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6944 loss: 1.6944 2022/08/03 16:17:22 - mmengine - INFO - Epoch(train) [32][640/1879] lr: 1.0000e-02 eta: 2 days, 2:13:15 time: 0.4298 data_time: 0.0162 memory: 17087 grad_norm: 4.8343 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6661 loss: 1.6661 2022/08/03 16:17:30 - mmengine - INFO - Epoch(train) [32][660/1879] lr: 1.0000e-02 eta: 2 days, 2:13:06 time: 0.4253 data_time: 0.0160 memory: 17087 grad_norm: 4.7764 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.9311 loss: 1.9311 2022/08/03 16:17:39 - mmengine - INFO - Epoch(train) [32][680/1879] lr: 1.0000e-02 eta: 2 days, 2:12:58 time: 0.4262 data_time: 0.0161 memory: 17087 grad_norm: 4.6791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8078 loss: 1.8078 2022/08/03 16:17:48 - mmengine - INFO - Epoch(train) [32][700/1879] lr: 1.0000e-02 eta: 2 days, 2:12:51 time: 0.4439 data_time: 0.0167 memory: 17087 grad_norm: 4.7272 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7304 loss: 1.7304 2022/08/03 16:17:56 - mmengine - INFO - Epoch(train) [32][720/1879] lr: 1.0000e-02 eta: 2 days, 2:12:43 time: 0.4298 data_time: 0.0147 memory: 17087 grad_norm: 4.8806 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.8988 loss: 1.8988 2022/08/03 16:18:05 - mmengine - INFO - Epoch(train) [32][740/1879] lr: 1.0000e-02 eta: 2 days, 2:12:35 time: 0.4327 data_time: 0.0212 memory: 17087 grad_norm: 4.7990 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7324 loss: 1.7324 2022/08/03 16:18:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:18:13 - mmengine - INFO - Epoch(train) [32][760/1879] lr: 1.0000e-02 eta: 2 days, 2:12:26 time: 0.4254 data_time: 0.0153 memory: 17087 grad_norm: 4.7292 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8283 loss: 1.8283 2022/08/03 16:18:22 - mmengine - INFO - Epoch(train) [32][780/1879] lr: 1.0000e-02 eta: 2 days, 2:12:18 time: 0.4291 data_time: 0.0158 memory: 17087 grad_norm: 4.7886 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7732 loss: 1.7732 2022/08/03 16:18:31 - mmengine - INFO - Epoch(train) [32][800/1879] lr: 1.0000e-02 eta: 2 days, 2:12:12 time: 0.4463 data_time: 0.0166 memory: 17087 grad_norm: 4.8303 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7397 loss: 1.7397 2022/08/03 16:18:39 - mmengine - INFO - Epoch(train) [32][820/1879] lr: 1.0000e-02 eta: 2 days, 2:12:02 time: 0.4232 data_time: 0.0146 memory: 17087 grad_norm: 4.8575 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.8970 loss: 1.8970 2022/08/03 16:18:48 - mmengine - INFO - Epoch(train) [32][840/1879] lr: 1.0000e-02 eta: 2 days, 2:11:56 time: 0.4424 data_time: 0.0243 memory: 17087 grad_norm: 4.7598 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5387 loss: 1.5387 2022/08/03 16:18:57 - mmengine - INFO - Epoch(train) [32][860/1879] lr: 1.0000e-02 eta: 2 days, 2:11:47 time: 0.4268 data_time: 0.0125 memory: 17087 grad_norm: 4.7873 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6476 loss: 1.6476 2022/08/03 16:19:05 - mmengine - INFO - Epoch(train) [32][880/1879] lr: 1.0000e-02 eta: 2 days, 2:11:39 time: 0.4312 data_time: 0.0154 memory: 17087 grad_norm: 4.6203 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7366 loss: 1.7366 2022/08/03 16:19:14 - mmengine - INFO - Epoch(train) [32][900/1879] lr: 1.0000e-02 eta: 2 days, 2:11:29 time: 0.4232 data_time: 0.0156 memory: 17087 grad_norm: 4.6739 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6799 loss: 1.6799 2022/08/03 16:19:22 - mmengine - INFO - Epoch(train) [32][920/1879] lr: 1.0000e-02 eta: 2 days, 2:11:21 time: 0.4292 data_time: 0.0192 memory: 17087 grad_norm: 4.7894 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8632 loss: 1.8632 2022/08/03 16:19:32 - mmengine - INFO - Epoch(train) [32][940/1879] lr: 1.0000e-02 eta: 2 days, 2:11:16 time: 0.4566 data_time: 0.0151 memory: 17087 grad_norm: 4.8621 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8049 loss: 1.8049 2022/08/03 16:19:40 - mmengine - INFO - Epoch(train) [32][960/1879] lr: 1.0000e-02 eta: 2 days, 2:11:08 time: 0.4297 data_time: 0.0205 memory: 17087 grad_norm: 4.7474 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8436 loss: 1.8436 2022/08/03 16:19:49 - mmengine - INFO - Epoch(train) [32][980/1879] lr: 1.0000e-02 eta: 2 days, 2:11:03 time: 0.4512 data_time: 0.0158 memory: 17087 grad_norm: 4.8518 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8175 loss: 1.8175 2022/08/03 16:19:58 - mmengine - INFO - Epoch(train) [32][1000/1879] lr: 1.0000e-02 eta: 2 days, 2:10:54 time: 0.4262 data_time: 0.0151 memory: 17087 grad_norm: 4.9154 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9355 loss: 1.9355 2022/08/03 16:20:06 - mmengine - INFO - Epoch(train) [32][1020/1879] lr: 1.0000e-02 eta: 2 days, 2:10:45 time: 0.4266 data_time: 0.0163 memory: 17087 grad_norm: 4.8118 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6118 loss: 1.6118 2022/08/03 16:20:15 - mmengine - INFO - Epoch(train) [32][1040/1879] lr: 1.0000e-02 eta: 2 days, 2:10:36 time: 0.4239 data_time: 0.0149 memory: 17087 grad_norm: 4.7275 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6856 loss: 1.6856 2022/08/03 16:20:23 - mmengine - INFO - Epoch(train) [32][1060/1879] lr: 1.0000e-02 eta: 2 days, 2:10:27 time: 0.4243 data_time: 0.0161 memory: 17087 grad_norm: 4.8708 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7163 loss: 1.7163 2022/08/03 16:20:32 - mmengine - INFO - Epoch(train) [32][1080/1879] lr: 1.0000e-02 eta: 2 days, 2:10:19 time: 0.4324 data_time: 0.0160 memory: 17087 grad_norm: 4.7947 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7156 loss: 1.7156 2022/08/03 16:20:40 - mmengine - INFO - Epoch(train) [32][1100/1879] lr: 1.0000e-02 eta: 2 days, 2:10:10 time: 0.4244 data_time: 0.0142 memory: 17087 grad_norm: 4.9197 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6639 loss: 1.6639 2022/08/03 16:20:49 - mmengine - INFO - Epoch(train) [32][1120/1879] lr: 1.0000e-02 eta: 2 days, 2:10:01 time: 0.4292 data_time: 0.0153 memory: 17087 grad_norm: 4.8008 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6487 loss: 1.6487 2022/08/03 16:20:58 - mmengine - INFO - Epoch(train) [32][1140/1879] lr: 1.0000e-02 eta: 2 days, 2:09:53 time: 0.4327 data_time: 0.0150 memory: 17087 grad_norm: 4.8363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7133 loss: 1.7133 2022/08/03 16:21:06 - mmengine - INFO - Epoch(train) [32][1160/1879] lr: 1.0000e-02 eta: 2 days, 2:09:44 time: 0.4252 data_time: 0.0180 memory: 17087 grad_norm: 4.9309 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6887 loss: 1.6887 2022/08/03 16:21:15 - mmengine - INFO - Epoch(train) [32][1180/1879] lr: 1.0000e-02 eta: 2 days, 2:09:36 time: 0.4273 data_time: 0.0149 memory: 17087 grad_norm: 4.8879 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5642 loss: 1.5642 2022/08/03 16:21:23 - mmengine - INFO - Epoch(train) [32][1200/1879] lr: 1.0000e-02 eta: 2 days, 2:09:29 time: 0.4414 data_time: 0.0153 memory: 17087 grad_norm: 4.9590 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.8926 loss: 1.8926 2022/08/03 16:21:32 - mmengine - INFO - Epoch(train) [32][1220/1879] lr: 1.0000e-02 eta: 2 days, 2:09:21 time: 0.4321 data_time: 0.0165 memory: 17087 grad_norm: 4.9176 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7652 loss: 1.7652 2022/08/03 16:21:41 - mmengine - INFO - Epoch(train) [32][1240/1879] lr: 1.0000e-02 eta: 2 days, 2:09:12 time: 0.4247 data_time: 0.0170 memory: 17087 grad_norm: 4.8277 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7245 loss: 1.7245 2022/08/03 16:21:49 - mmengine - INFO - Epoch(train) [32][1260/1879] lr: 1.0000e-02 eta: 2 days, 2:09:04 time: 0.4315 data_time: 0.0169 memory: 17087 grad_norm: 4.8157 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9133 loss: 1.9133 2022/08/03 16:21:58 - mmengine - INFO - Epoch(train) [32][1280/1879] lr: 1.0000e-02 eta: 2 days, 2:08:59 time: 0.4533 data_time: 0.0147 memory: 17087 grad_norm: 4.8122 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8813 loss: 1.8813 2022/08/03 16:22:07 - mmengine - INFO - Epoch(train) [32][1300/1879] lr: 1.0000e-02 eta: 2 days, 2:08:50 time: 0.4312 data_time: 0.0210 memory: 17087 grad_norm: 4.9623 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.9430 loss: 1.9430 2022/08/03 16:22:15 - mmengine - INFO - Epoch(train) [32][1320/1879] lr: 1.0000e-02 eta: 2 days, 2:08:41 time: 0.4249 data_time: 0.0162 memory: 17087 grad_norm: 4.8930 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6382 loss: 1.6382 2022/08/03 16:22:24 - mmengine - INFO - Epoch(train) [32][1340/1879] lr: 1.0000e-02 eta: 2 days, 2:08:32 time: 0.4240 data_time: 0.0144 memory: 17087 grad_norm: 4.7827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8529 loss: 1.8529 2022/08/03 16:22:33 - mmengine - INFO - Epoch(train) [32][1360/1879] lr: 1.0000e-02 eta: 2 days, 2:08:29 time: 0.4648 data_time: 0.0173 memory: 17087 grad_norm: 4.8039 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7586 loss: 1.7586 2022/08/03 16:22:42 - mmengine - INFO - Epoch(train) [32][1380/1879] lr: 1.0000e-02 eta: 2 days, 2:08:21 time: 0.4353 data_time: 0.0158 memory: 17087 grad_norm: 4.7256 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5926 loss: 1.5926 2022/08/03 16:22:51 - mmengine - INFO - Epoch(train) [32][1400/1879] lr: 1.0000e-02 eta: 2 days, 2:08:12 time: 0.4243 data_time: 0.0166 memory: 17087 grad_norm: 4.8377 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7468 loss: 1.7468 2022/08/03 16:22:59 - mmengine - INFO - Epoch(train) [32][1420/1879] lr: 1.0000e-02 eta: 2 days, 2:08:05 time: 0.4372 data_time: 0.0227 memory: 17087 grad_norm: 4.8671 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6867 loss: 1.6867 2022/08/03 16:23:08 - mmengine - INFO - Epoch(train) [32][1440/1879] lr: 1.0000e-02 eta: 2 days, 2:07:59 time: 0.4462 data_time: 0.0163 memory: 17087 grad_norm: 4.9644 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6919 loss: 1.6919 2022/08/03 16:23:17 - mmengine - INFO - Epoch(train) [32][1460/1879] lr: 1.0000e-02 eta: 2 days, 2:07:51 time: 0.4311 data_time: 0.0165 memory: 17087 grad_norm: 4.8114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8088 loss: 1.8088 2022/08/03 16:23:25 - mmengine - INFO - Epoch(train) [32][1480/1879] lr: 1.0000e-02 eta: 2 days, 2:07:41 time: 0.4242 data_time: 0.0147 memory: 17087 grad_norm: 4.7226 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6275 loss: 1.6275 2022/08/03 16:23:34 - mmengine - INFO - Epoch(train) [32][1500/1879] lr: 1.0000e-02 eta: 2 days, 2:07:32 time: 0.4233 data_time: 0.0160 memory: 17087 grad_norm: 4.6460 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6525 loss: 1.6525 2022/08/03 16:23:42 - mmengine - INFO - Epoch(train) [32][1520/1879] lr: 1.0000e-02 eta: 2 days, 2:07:25 time: 0.4360 data_time: 0.0162 memory: 17087 grad_norm: 4.7388 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8310 loss: 1.8310 2022/08/03 16:23:51 - mmengine - INFO - Epoch(train) [32][1540/1879] lr: 1.0000e-02 eta: 2 days, 2:07:16 time: 0.4255 data_time: 0.0160 memory: 17087 grad_norm: 4.7869 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6328 loss: 1.6328 2022/08/03 16:24:00 - mmengine - INFO - Epoch(train) [32][1560/1879] lr: 1.0000e-02 eta: 2 days, 2:07:09 time: 0.4423 data_time: 0.0158 memory: 17087 grad_norm: 4.6807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6909 loss: 1.6909 2022/08/03 16:24:08 - mmengine - INFO - Epoch(train) [32][1580/1879] lr: 1.0000e-02 eta: 2 days, 2:07:00 time: 0.4250 data_time: 0.0145 memory: 17087 grad_norm: 4.6704 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7082 loss: 1.7082 2022/08/03 16:24:17 - mmengine - INFO - Epoch(train) [32][1600/1879] lr: 1.0000e-02 eta: 2 days, 2:06:52 time: 0.4304 data_time: 0.0163 memory: 17087 grad_norm: 4.8526 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7470 loss: 1.7470 2022/08/03 16:24:25 - mmengine - INFO - Epoch(train) [32][1620/1879] lr: 1.0000e-02 eta: 2 days, 2:06:43 time: 0.4242 data_time: 0.0142 memory: 17087 grad_norm: 4.9252 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6326 loss: 1.6326 2022/08/03 16:24:34 - mmengine - INFO - Epoch(train) [32][1640/1879] lr: 1.0000e-02 eta: 2 days, 2:06:36 time: 0.4425 data_time: 0.0186 memory: 17087 grad_norm: 4.7910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6514 loss: 1.6514 2022/08/03 16:24:43 - mmengine - INFO - Epoch(train) [32][1660/1879] lr: 1.0000e-02 eta: 2 days, 2:06:27 time: 0.4263 data_time: 0.0142 memory: 17087 grad_norm: 4.8746 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6705 loss: 1.6705 2022/08/03 16:24:52 - mmengine - INFO - Epoch(train) [32][1680/1879] lr: 1.0000e-02 eta: 2 days, 2:06:20 time: 0.4367 data_time: 0.0213 memory: 17087 grad_norm: 5.0100 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 2.0364 loss: 2.0364 2022/08/03 16:25:00 - mmengine - INFO - Epoch(train) [32][1700/1879] lr: 1.0000e-02 eta: 2 days, 2:06:11 time: 0.4279 data_time: 0.0142 memory: 17087 grad_norm: 4.8748 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7349 loss: 1.7349 2022/08/03 16:25:09 - mmengine - INFO - Epoch(train) [32][1720/1879] lr: 1.0000e-02 eta: 2 days, 2:06:03 time: 0.4327 data_time: 0.0171 memory: 17087 grad_norm: 4.7674 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8964 loss: 1.8964 2022/08/03 16:25:18 - mmengine - INFO - Epoch(train) [32][1740/1879] lr: 1.0000e-02 eta: 2 days, 2:05:57 time: 0.4446 data_time: 0.0155 memory: 17087 grad_norm: 4.8894 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8851 loss: 1.8851 2022/08/03 16:25:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:25:26 - mmengine - INFO - Epoch(train) [32][1760/1879] lr: 1.0000e-02 eta: 2 days, 2:05:48 time: 0.4241 data_time: 0.0153 memory: 17087 grad_norm: 4.8755 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7355 loss: 1.7355 2022/08/03 16:25:35 - mmengine - INFO - Epoch(train) [32][1780/1879] lr: 1.0000e-02 eta: 2 days, 2:05:38 time: 0.4229 data_time: 0.0140 memory: 17087 grad_norm: 4.8469 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6957 loss: 1.6957 2022/08/03 16:25:43 - mmengine - INFO - Epoch(train) [32][1800/1879] lr: 1.0000e-02 eta: 2 days, 2:05:30 time: 0.4271 data_time: 0.0158 memory: 17087 grad_norm: 4.7811 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7567 loss: 1.7567 2022/08/03 16:25:52 - mmengine - INFO - Epoch(train) [32][1820/1879] lr: 1.0000e-02 eta: 2 days, 2:05:21 time: 0.4244 data_time: 0.0152 memory: 17087 grad_norm: 4.8566 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7298 loss: 1.7298 2022/08/03 16:26:00 - mmengine - INFO - Epoch(train) [32][1840/1879] lr: 1.0000e-02 eta: 2 days, 2:05:13 time: 0.4374 data_time: 0.0145 memory: 17087 grad_norm: 4.8240 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7933 loss: 1.7933 2022/08/03 16:26:09 - mmengine - INFO - Epoch(train) [32][1860/1879] lr: 1.0000e-02 eta: 2 days, 2:05:05 time: 0.4305 data_time: 0.0177 memory: 17087 grad_norm: 4.8474 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6741 loss: 1.6741 2022/08/03 16:26:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:26:17 - mmengine - INFO - Epoch(train) [32][1879/1879] lr: 1.0000e-02 eta: 2 days, 2:05:05 time: 0.4077 data_time: 0.0153 memory: 17087 grad_norm: 5.0824 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.8880 loss: 1.8880 2022/08/03 16:26:17 - mmengine - INFO - Saving checkpoint at 32 epochs 2022/08/03 16:26:30 - mmengine - INFO - Epoch(train) [33][20/1879] lr: 1.0000e-02 eta: 2 days, 2:04:03 time: 0.5127 data_time: 0.1001 memory: 17087 grad_norm: 4.7107 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.6916 loss: 1.6916 2022/08/03 16:26:39 - mmengine - INFO - Epoch(train) [33][40/1879] lr: 1.0000e-02 eta: 2 days, 2:03:55 time: 0.4314 data_time: 0.0166 memory: 17087 grad_norm: 4.7126 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8508 loss: 1.8508 2022/08/03 16:26:48 - mmengine - INFO - Epoch(train) [33][60/1879] lr: 1.0000e-02 eta: 2 days, 2:03:46 time: 0.4237 data_time: 0.0140 memory: 17087 grad_norm: 4.9009 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5716 loss: 1.5716 2022/08/03 16:26:56 - mmengine - INFO - Epoch(train) [33][80/1879] lr: 1.0000e-02 eta: 2 days, 2:03:39 time: 0.4434 data_time: 0.0158 memory: 17087 grad_norm: 4.7286 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6922 loss: 1.6922 2022/08/03 16:27:05 - mmengine - INFO - Epoch(train) [33][100/1879] lr: 1.0000e-02 eta: 2 days, 2:03:30 time: 0.4254 data_time: 0.0152 memory: 17087 grad_norm: 4.6045 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6606 loss: 1.6606 2022/08/03 16:27:13 - mmengine - INFO - Epoch(train) [33][120/1879] lr: 1.0000e-02 eta: 2 days, 2:03:21 time: 0.4257 data_time: 0.0178 memory: 17087 grad_norm: 4.8050 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6451 loss: 1.6451 2022/08/03 16:27:22 - mmengine - INFO - Epoch(train) [33][140/1879] lr: 1.0000e-02 eta: 2 days, 2:03:13 time: 0.4261 data_time: 0.0145 memory: 17087 grad_norm: 4.7258 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4834 loss: 1.4834 2022/08/03 16:27:30 - mmengine - INFO - Epoch(train) [33][160/1879] lr: 1.0000e-02 eta: 2 days, 2:03:03 time: 0.4233 data_time: 0.0150 memory: 17087 grad_norm: 4.8890 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7902 loss: 1.7902 2022/08/03 16:27:39 - mmengine - INFO - Epoch(train) [33][180/1879] lr: 1.0000e-02 eta: 2 days, 2:02:57 time: 0.4416 data_time: 0.0167 memory: 17087 grad_norm: 4.9868 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7985 loss: 1.7985 2022/08/03 16:27:48 - mmengine - INFO - Epoch(train) [33][200/1879] lr: 1.0000e-02 eta: 2 days, 2:02:48 time: 0.4257 data_time: 0.0159 memory: 17087 grad_norm: 4.9169 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6620 loss: 1.6620 2022/08/03 16:27:56 - mmengine - INFO - Epoch(train) [33][220/1879] lr: 1.0000e-02 eta: 2 days, 2:02:39 time: 0.4303 data_time: 0.0169 memory: 17087 grad_norm: 4.8637 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6467 loss: 1.6467 2022/08/03 16:28:05 - mmengine - INFO - Epoch(train) [33][240/1879] lr: 1.0000e-02 eta: 2 days, 2:02:30 time: 0.4253 data_time: 0.0160 memory: 17087 grad_norm: 4.9583 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7681 loss: 1.7681 2022/08/03 16:28:13 - mmengine - INFO - Epoch(train) [33][260/1879] lr: 1.0000e-02 eta: 2 days, 2:02:21 time: 0.4249 data_time: 0.0176 memory: 17087 grad_norm: 4.8408 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7692 loss: 1.7692 2022/08/03 16:28:23 - mmengine - INFO - Epoch(train) [33][280/1879] lr: 1.0000e-02 eta: 2 days, 2:02:16 time: 0.4544 data_time: 0.0169 memory: 17087 grad_norm: 4.8259 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7245 loss: 1.7245 2022/08/03 16:28:31 - mmengine - INFO - Epoch(train) [33][300/1879] lr: 1.0000e-02 eta: 2 days, 2:02:07 time: 0.4228 data_time: 0.0132 memory: 17087 grad_norm: 4.8776 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7867 loss: 1.7867 2022/08/03 16:28:40 - mmengine - INFO - Epoch(train) [33][320/1879] lr: 1.0000e-02 eta: 2 days, 2:01:59 time: 0.4341 data_time: 0.0173 memory: 17087 grad_norm: 4.8189 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7415 loss: 1.7415 2022/08/03 16:28:48 - mmengine - INFO - Epoch(train) [33][340/1879] lr: 1.0000e-02 eta: 2 days, 2:01:50 time: 0.4234 data_time: 0.0141 memory: 17087 grad_norm: 4.7014 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8607 loss: 1.8607 2022/08/03 16:28:57 - mmengine - INFO - Epoch(train) [33][360/1879] lr: 1.0000e-02 eta: 2 days, 2:01:44 time: 0.4446 data_time: 0.0178 memory: 17087 grad_norm: 4.8785 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 2.0106 loss: 2.0106 2022/08/03 16:29:05 - mmengine - INFO - Epoch(train) [33][380/1879] lr: 1.0000e-02 eta: 2 days, 2:01:35 time: 0.4231 data_time: 0.0131 memory: 17087 grad_norm: 4.8213 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.9133 loss: 1.9133 2022/08/03 16:29:14 - mmengine - INFO - Epoch(train) [33][400/1879] lr: 1.0000e-02 eta: 2 days, 2:01:26 time: 0.4261 data_time: 0.0154 memory: 17087 grad_norm: 4.8969 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7426 loss: 1.7426 2022/08/03 16:29:23 - mmengine - INFO - Epoch(train) [33][420/1879] lr: 1.0000e-02 eta: 2 days, 2:01:18 time: 0.4373 data_time: 0.0186 memory: 17087 grad_norm: 4.9108 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6699 loss: 1.6699 2022/08/03 16:29:31 - mmengine - INFO - Epoch(train) [33][440/1879] lr: 1.0000e-02 eta: 2 days, 2:01:09 time: 0.4248 data_time: 0.0160 memory: 17087 grad_norm: 4.9339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7419 loss: 1.7419 2022/08/03 16:29:40 - mmengine - INFO - Epoch(train) [33][460/1879] lr: 1.0000e-02 eta: 2 days, 2:01:04 time: 0.4480 data_time: 0.0150 memory: 17087 grad_norm: 4.8370 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7434 loss: 1.7434 2022/08/03 16:29:49 - mmengine - INFO - Epoch(train) [33][480/1879] lr: 1.0000e-02 eta: 2 days, 2:00:55 time: 0.4256 data_time: 0.0157 memory: 17087 grad_norm: 4.8034 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.9062 loss: 1.9062 2022/08/03 16:29:57 - mmengine - INFO - Epoch(train) [33][500/1879] lr: 1.0000e-02 eta: 2 days, 2:00:46 time: 0.4317 data_time: 0.0150 memory: 17087 grad_norm: 4.8606 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6149 loss: 1.6149 2022/08/03 16:30:06 - mmengine - INFO - Epoch(train) [33][520/1879] lr: 1.0000e-02 eta: 2 days, 2:00:38 time: 0.4280 data_time: 0.0160 memory: 17087 grad_norm: 4.8538 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8678 loss: 1.8678 2022/08/03 16:30:15 - mmengine - INFO - Epoch(train) [33][540/1879] lr: 1.0000e-02 eta: 2 days, 2:00:32 time: 0.4494 data_time: 0.0156 memory: 17087 grad_norm: 4.8104 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4091 loss: 1.4091 2022/08/03 16:30:23 - mmengine - INFO - Epoch(train) [33][560/1879] lr: 1.0000e-02 eta: 2 days, 2:00:23 time: 0.4264 data_time: 0.0164 memory: 17087 grad_norm: 4.6673 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8607 loss: 1.8607 2022/08/03 16:30:32 - mmengine - INFO - Epoch(train) [33][580/1879] lr: 1.0000e-02 eta: 2 days, 2:00:14 time: 0.4257 data_time: 0.0128 memory: 17087 grad_norm: 4.9658 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7565 loss: 1.7565 2022/08/03 16:30:41 - mmengine - INFO - Epoch(train) [33][600/1879] lr: 1.0000e-02 eta: 2 days, 2:00:08 time: 0.4439 data_time: 0.0149 memory: 17087 grad_norm: 4.6547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7317 loss: 1.7317 2022/08/03 16:30:49 - mmengine - INFO - Epoch(train) [33][620/1879] lr: 1.0000e-02 eta: 2 days, 1:59:59 time: 0.4263 data_time: 0.0160 memory: 17087 grad_norm: 4.8606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5494 loss: 1.5494 2022/08/03 16:30:58 - mmengine - INFO - Epoch(train) [33][640/1879] lr: 1.0000e-02 eta: 2 days, 1:59:50 time: 0.4267 data_time: 0.0172 memory: 17087 grad_norm: 4.7525 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6522 loss: 1.6522 2022/08/03 16:31:07 - mmengine - INFO - Epoch(train) [33][660/1879] lr: 1.0000e-02 eta: 2 days, 1:59:44 time: 0.4437 data_time: 0.0143 memory: 17087 grad_norm: 4.7545 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6588 loss: 1.6588 2022/08/03 16:31:15 - mmengine - INFO - Epoch(train) [33][680/1879] lr: 1.0000e-02 eta: 2 days, 1:59:35 time: 0.4251 data_time: 0.0177 memory: 17087 grad_norm: 4.7865 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.9657 loss: 1.9657 2022/08/03 16:31:24 - mmengine - INFO - Epoch(train) [33][700/1879] lr: 1.0000e-02 eta: 2 days, 1:59:28 time: 0.4365 data_time: 0.0129 memory: 17087 grad_norm: 4.7381 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7080 loss: 1.7080 2022/08/03 16:31:33 - mmengine - INFO - Epoch(train) [33][720/1879] lr: 1.0000e-02 eta: 2 days, 1:59:19 time: 0.4264 data_time: 0.0154 memory: 17087 grad_norm: 4.7328 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5962 loss: 1.5962 2022/08/03 16:31:41 - mmengine - INFO - Epoch(train) [33][740/1879] lr: 1.0000e-02 eta: 2 days, 1:59:10 time: 0.4256 data_time: 0.0172 memory: 17087 grad_norm: 4.9393 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5934 loss: 1.5934 2022/08/03 16:31:50 - mmengine - INFO - Epoch(train) [33][760/1879] lr: 1.0000e-02 eta: 2 days, 1:59:02 time: 0.4305 data_time: 0.0162 memory: 17087 grad_norm: 4.7909 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6934 loss: 1.6934 2022/08/03 16:31:58 - mmengine - INFO - Epoch(train) [33][780/1879] lr: 1.0000e-02 eta: 2 days, 1:58:54 time: 0.4376 data_time: 0.0163 memory: 17087 grad_norm: 4.7307 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3808 loss: 1.3808 2022/08/03 16:32:07 - mmengine - INFO - Epoch(train) [33][800/1879] lr: 1.0000e-02 eta: 2 days, 1:58:45 time: 0.4234 data_time: 0.0145 memory: 17087 grad_norm: 4.9667 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8282 loss: 1.8282 2022/08/03 16:32:16 - mmengine - INFO - Epoch(train) [33][820/1879] lr: 1.0000e-02 eta: 2 days, 1:58:37 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 4.8113 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7260 loss: 1.7260 2022/08/03 16:32:25 - mmengine - INFO - Epoch(train) [33][840/1879] lr: 1.0000e-02 eta: 2 days, 1:58:31 time: 0.4532 data_time: 0.0159 memory: 17087 grad_norm: 4.8283 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6034 loss: 1.6034 2022/08/03 16:32:33 - mmengine - INFO - Epoch(train) [33][860/1879] lr: 1.0000e-02 eta: 2 days, 1:58:22 time: 0.4249 data_time: 0.0139 memory: 17087 grad_norm: 4.8149 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6670 loss: 1.6670 2022/08/03 16:32:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:32:42 - mmengine - INFO - Epoch(train) [33][880/1879] lr: 1.0000e-02 eta: 2 days, 1:58:15 time: 0.4360 data_time: 0.0189 memory: 17087 grad_norm: 4.9962 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.7013 loss: 1.7013 2022/08/03 16:32:51 - mmengine - INFO - Epoch(train) [33][900/1879] lr: 1.0000e-02 eta: 2 days, 1:58:08 time: 0.4425 data_time: 0.0162 memory: 17087 grad_norm: 4.8842 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7917 loss: 1.7917 2022/08/03 16:32:59 - mmengine - INFO - Epoch(train) [33][920/1879] lr: 1.0000e-02 eta: 2 days, 1:58:00 time: 0.4281 data_time: 0.0159 memory: 17087 grad_norm: 4.7742 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5927 loss: 1.5927 2022/08/03 16:33:08 - mmengine - INFO - Epoch(train) [33][940/1879] lr: 1.0000e-02 eta: 2 days, 1:57:51 time: 0.4251 data_time: 0.0148 memory: 17087 grad_norm: 4.8242 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8314 loss: 1.8314 2022/08/03 16:33:17 - mmengine - INFO - Epoch(train) [33][960/1879] lr: 1.0000e-02 eta: 2 days, 1:57:44 time: 0.4434 data_time: 0.0174 memory: 17087 grad_norm: 4.9236 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7483 loss: 1.7483 2022/08/03 16:33:25 - mmengine - INFO - Epoch(train) [33][980/1879] lr: 1.0000e-02 eta: 2 days, 1:57:35 time: 0.4222 data_time: 0.0133 memory: 17087 grad_norm: 4.8335 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6199 loss: 1.6199 2022/08/03 16:33:34 - mmengine - INFO - Epoch(train) [33][1000/1879] lr: 1.0000e-02 eta: 2 days, 1:57:27 time: 0.4333 data_time: 0.0152 memory: 17087 grad_norm: 4.9402 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6513 loss: 1.6513 2022/08/03 16:33:43 - mmengine - INFO - Epoch(train) [33][1020/1879] lr: 1.0000e-02 eta: 2 days, 1:57:20 time: 0.4392 data_time: 0.0151 memory: 17087 grad_norm: 4.8411 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7496 loss: 1.7496 2022/08/03 16:33:51 - mmengine - INFO - Epoch(train) [33][1040/1879] lr: 1.0000e-02 eta: 2 days, 1:57:11 time: 0.4251 data_time: 0.0160 memory: 17087 grad_norm: 4.7082 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6726 loss: 1.6726 2022/08/03 16:34:00 - mmengine - INFO - Epoch(train) [33][1060/1879] lr: 1.0000e-02 eta: 2 days, 1:57:02 time: 0.4291 data_time: 0.0186 memory: 17087 grad_norm: 4.8093 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6437 loss: 1.6437 2022/08/03 16:34:08 - mmengine - INFO - Epoch(train) [33][1080/1879] lr: 1.0000e-02 eta: 2 days, 1:56:54 time: 0.4276 data_time: 0.0156 memory: 17087 grad_norm: 4.7594 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.9984 loss: 1.9984 2022/08/03 16:34:17 - mmengine - INFO - Epoch(train) [33][1100/1879] lr: 1.0000e-02 eta: 2 days, 1:56:45 time: 0.4270 data_time: 0.0147 memory: 17087 grad_norm: 4.9339 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7804 loss: 1.7804 2022/08/03 16:34:25 - mmengine - INFO - Epoch(train) [33][1120/1879] lr: 1.0000e-02 eta: 2 days, 1:56:36 time: 0.4262 data_time: 0.0152 memory: 17087 grad_norm: 4.8938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7749 loss: 1.7749 2022/08/03 16:34:34 - mmengine - INFO - Epoch(train) [33][1140/1879] lr: 1.0000e-02 eta: 2 days, 1:56:27 time: 0.4224 data_time: 0.0138 memory: 17087 grad_norm: 4.8744 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4840 loss: 1.4840 2022/08/03 16:34:42 - mmengine - INFO - Epoch(train) [33][1160/1879] lr: 1.0000e-02 eta: 2 days, 1:56:18 time: 0.4277 data_time: 0.0164 memory: 17087 grad_norm: 4.6943 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7692 loss: 1.7692 2022/08/03 16:34:51 - mmengine - INFO - Epoch(train) [33][1180/1879] lr: 1.0000e-02 eta: 2 days, 1:56:09 time: 0.4245 data_time: 0.0137 memory: 17087 grad_norm: 4.7626 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8086 loss: 1.8086 2022/08/03 16:34:59 - mmengine - INFO - Epoch(train) [33][1200/1879] lr: 1.0000e-02 eta: 2 days, 1:56:01 time: 0.4321 data_time: 0.0175 memory: 17087 grad_norm: 4.8876 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8024 loss: 1.8024 2022/08/03 16:35:08 - mmengine - INFO - Epoch(train) [33][1220/1879] lr: 1.0000e-02 eta: 2 days, 1:55:52 time: 0.4242 data_time: 0.0154 memory: 17087 grad_norm: 4.8774 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7480 loss: 1.7480 2022/08/03 16:35:17 - mmengine - INFO - Epoch(train) [33][1240/1879] lr: 1.0000e-02 eta: 2 days, 1:55:44 time: 0.4316 data_time: 0.0172 memory: 17087 grad_norm: 4.8851 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9780 loss: 1.9780 2022/08/03 16:35:25 - mmengine - INFO - Epoch(train) [33][1260/1879] lr: 1.0000e-02 eta: 2 days, 1:55:35 time: 0.4244 data_time: 0.0150 memory: 17087 grad_norm: 4.7407 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7218 loss: 1.7218 2022/08/03 16:35:34 - mmengine - INFO - Epoch(train) [33][1280/1879] lr: 1.0000e-02 eta: 2 days, 1:55:26 time: 0.4245 data_time: 0.0152 memory: 17087 grad_norm: 4.7309 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5486 loss: 1.5486 2022/08/03 16:35:43 - mmengine - INFO - Epoch(train) [33][1300/1879] lr: 1.0000e-02 eta: 2 days, 1:55:22 time: 0.4652 data_time: 0.0159 memory: 17087 grad_norm: 4.8229 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6002 loss: 1.6002 2022/08/03 16:35:51 - mmengine - INFO - Epoch(train) [33][1320/1879] lr: 1.0000e-02 eta: 2 days, 1:55:13 time: 0.4257 data_time: 0.0150 memory: 17087 grad_norm: 4.5705 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8233 loss: 1.8233 2022/08/03 16:36:00 - mmengine - INFO - Epoch(train) [33][1340/1879] lr: 1.0000e-02 eta: 2 days, 1:55:07 time: 0.4494 data_time: 0.0161 memory: 17087 grad_norm: 4.6710 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6728 loss: 1.6728 2022/08/03 16:36:09 - mmengine - INFO - Epoch(train) [33][1360/1879] lr: 1.0000e-02 eta: 2 days, 1:54:58 time: 0.4249 data_time: 0.0164 memory: 17087 grad_norm: 4.7638 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.8104 loss: 1.8104 2022/08/03 16:36:18 - mmengine - INFO - Epoch(train) [33][1380/1879] lr: 1.0000e-02 eta: 2 days, 1:54:52 time: 0.4448 data_time: 0.0138 memory: 17087 grad_norm: 4.9172 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6368 loss: 1.6368 2022/08/03 16:36:26 - mmengine - INFO - Epoch(train) [33][1400/1879] lr: 1.0000e-02 eta: 2 days, 1:54:44 time: 0.4292 data_time: 0.0151 memory: 17087 grad_norm: 4.9221 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5881 loss: 1.5881 2022/08/03 16:36:35 - mmengine - INFO - Epoch(train) [33][1420/1879] lr: 1.0000e-02 eta: 2 days, 1:54:35 time: 0.4309 data_time: 0.0148 memory: 17087 grad_norm: 4.9693 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9178 loss: 1.9178 2022/08/03 16:36:43 - mmengine - INFO - Epoch(train) [33][1440/1879] lr: 1.0000e-02 eta: 2 days, 1:54:26 time: 0.4238 data_time: 0.0142 memory: 17087 grad_norm: 4.7381 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6209 loss: 1.6209 2022/08/03 16:36:52 - mmengine - INFO - Epoch(train) [33][1460/1879] lr: 1.0000e-02 eta: 2 days, 1:54:21 time: 0.4520 data_time: 0.0156 memory: 17087 grad_norm: 4.9117 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4932 loss: 1.4932 2022/08/03 16:37:01 - mmengine - INFO - Epoch(train) [33][1480/1879] lr: 1.0000e-02 eta: 2 days, 1:54:12 time: 0.4240 data_time: 0.0143 memory: 17087 grad_norm: 4.8632 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7638 loss: 1.7638 2022/08/03 16:37:10 - mmengine - INFO - Epoch(train) [33][1500/1879] lr: 1.0000e-02 eta: 2 days, 1:54:06 time: 0.4469 data_time: 0.0148 memory: 17087 grad_norm: 4.9443 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7117 loss: 1.7117 2022/08/03 16:37:19 - mmengine - INFO - Epoch(train) [33][1520/1879] lr: 1.0000e-02 eta: 2 days, 1:53:58 time: 0.4333 data_time: 0.0172 memory: 17087 grad_norm: 4.7595 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.7059 loss: 1.7059 2022/08/03 16:37:27 - mmengine - INFO - Epoch(train) [33][1540/1879] lr: 1.0000e-02 eta: 2 days, 1:53:48 time: 0.4231 data_time: 0.0140 memory: 17087 grad_norm: 4.6915 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5529 loss: 1.5529 2022/08/03 16:37:36 - mmengine - INFO - Epoch(train) [33][1560/1879] lr: 1.0000e-02 eta: 2 days, 1:53:40 time: 0.4307 data_time: 0.0214 memory: 17087 grad_norm: 4.7954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6723 loss: 1.6723 2022/08/03 16:37:44 - mmengine - INFO - Epoch(train) [33][1580/1879] lr: 1.0000e-02 eta: 2 days, 1:53:32 time: 0.4290 data_time: 0.0162 memory: 17087 grad_norm: 4.8803 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6514 loss: 1.6514 2022/08/03 16:37:53 - mmengine - INFO - Epoch(train) [33][1600/1879] lr: 1.0000e-02 eta: 2 days, 1:53:23 time: 0.4257 data_time: 0.0176 memory: 17087 grad_norm: 4.7373 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7981 loss: 1.7981 2022/08/03 16:38:01 - mmengine - INFO - Epoch(train) [33][1620/1879] lr: 1.0000e-02 eta: 2 days, 1:53:14 time: 0.4269 data_time: 0.0170 memory: 17087 grad_norm: 4.9772 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8421 loss: 1.8421 2022/08/03 16:38:10 - mmengine - INFO - Epoch(train) [33][1640/1879] lr: 1.0000e-02 eta: 2 days, 1:53:05 time: 0.4257 data_time: 0.0156 memory: 17087 grad_norm: 4.9526 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6301 loss: 1.6301 2022/08/03 16:38:18 - mmengine - INFO - Epoch(train) [33][1660/1879] lr: 1.0000e-02 eta: 2 days, 1:52:56 time: 0.4257 data_time: 0.0149 memory: 17087 grad_norm: 4.7502 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7303 loss: 1.7303 2022/08/03 16:38:27 - mmengine - INFO - Epoch(train) [33][1680/1879] lr: 1.0000e-02 eta: 2 days, 1:52:47 time: 0.4232 data_time: 0.0166 memory: 17087 grad_norm: 4.7632 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8613 loss: 1.8613 2022/08/03 16:38:35 - mmengine - INFO - Epoch(train) [33][1700/1879] lr: 1.0000e-02 eta: 2 days, 1:52:38 time: 0.4252 data_time: 0.0138 memory: 17087 grad_norm: 4.7367 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7247 loss: 1.7247 2022/08/03 16:38:44 - mmengine - INFO - Epoch(train) [33][1720/1879] lr: 1.0000e-02 eta: 2 days, 1:52:29 time: 0.4255 data_time: 0.0171 memory: 17087 grad_norm: 4.7659 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.9062 loss: 1.9062 2022/08/03 16:38:52 - mmengine - INFO - Epoch(train) [33][1740/1879] lr: 1.0000e-02 eta: 2 days, 1:52:20 time: 0.4244 data_time: 0.0180 memory: 17087 grad_norm: 4.6810 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6660 loss: 1.6660 2022/08/03 16:39:01 - mmengine - INFO - Epoch(train) [33][1760/1879] lr: 1.0000e-02 eta: 2 days, 1:52:12 time: 0.4306 data_time: 0.0152 memory: 17087 grad_norm: 4.7581 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7470 loss: 1.7470 2022/08/03 16:39:10 - mmengine - INFO - Epoch(train) [33][1780/1879] lr: 1.0000e-02 eta: 2 days, 1:52:04 time: 0.4334 data_time: 0.0204 memory: 17087 grad_norm: 4.9170 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5995 loss: 1.5995 2022/08/03 16:39:18 - mmengine - INFO - Epoch(train) [33][1800/1879] lr: 1.0000e-02 eta: 2 days, 1:51:56 time: 0.4313 data_time: 0.0166 memory: 17087 grad_norm: 4.8274 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7190 loss: 1.7190 2022/08/03 16:39:27 - mmengine - INFO - Epoch(train) [33][1820/1879] lr: 1.0000e-02 eta: 2 days, 1:51:47 time: 0.4243 data_time: 0.0151 memory: 17087 grad_norm: 4.8898 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6534 loss: 1.6534 2022/08/03 16:39:35 - mmengine - INFO - Epoch(train) [33][1840/1879] lr: 1.0000e-02 eta: 2 days, 1:51:38 time: 0.4260 data_time: 0.0168 memory: 17087 grad_norm: 4.7939 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7943 loss: 1.7943 2022/08/03 16:39:44 - mmengine - INFO - Epoch(train) [33][1860/1879] lr: 1.0000e-02 eta: 2 days, 1:51:28 time: 0.4229 data_time: 0.0154 memory: 17087 grad_norm: 4.7764 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6584 loss: 1.6584 2022/08/03 16:39:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:39:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:39:52 - mmengine - INFO - Epoch(train) [33][1879/1879] lr: 1.0000e-02 eta: 2 days, 1:51:28 time: 0.4389 data_time: 0.0157 memory: 17087 grad_norm: 4.7864 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.6965 loss: 1.6965 2022/08/03 16:40:03 - mmengine - INFO - Epoch(train) [34][20/1879] lr: 1.0000e-02 eta: 2 days, 1:50:35 time: 0.5627 data_time: 0.1201 memory: 17087 grad_norm: 4.6744 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6443 loss: 1.6443 2022/08/03 16:40:12 - mmengine - INFO - Epoch(train) [34][40/1879] lr: 1.0000e-02 eta: 2 days, 1:50:28 time: 0.4397 data_time: 0.0173 memory: 17087 grad_norm: 4.6427 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6320 loss: 1.6320 2022/08/03 16:40:21 - mmengine - INFO - Epoch(train) [34][60/1879] lr: 1.0000e-02 eta: 2 days, 1:50:19 time: 0.4299 data_time: 0.0192 memory: 17087 grad_norm: 4.9261 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.8156 loss: 1.8156 2022/08/03 16:40:30 - mmengine - INFO - Epoch(train) [34][80/1879] lr: 1.0000e-02 eta: 2 days, 1:50:15 time: 0.4588 data_time: 0.0157 memory: 17087 grad_norm: 4.8344 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8231 loss: 1.8231 2022/08/03 16:40:38 - mmengine - INFO - Epoch(train) [34][100/1879] lr: 1.0000e-02 eta: 2 days, 1:50:06 time: 0.4252 data_time: 0.0143 memory: 17087 grad_norm: 4.8875 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5942 loss: 1.5942 2022/08/03 16:40:47 - mmengine - INFO - Epoch(train) [34][120/1879] lr: 1.0000e-02 eta: 2 days, 1:50:00 time: 0.4442 data_time: 0.0171 memory: 17087 grad_norm: 4.7817 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5381 loss: 1.5381 2022/08/03 16:40:56 - mmengine - INFO - Epoch(train) [34][140/1879] lr: 1.0000e-02 eta: 2 days, 1:49:50 time: 0.4229 data_time: 0.0136 memory: 17087 grad_norm: 4.7790 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5881 loss: 1.5881 2022/08/03 16:41:04 - mmengine - INFO - Epoch(train) [34][160/1879] lr: 1.0000e-02 eta: 2 days, 1:49:41 time: 0.4259 data_time: 0.0162 memory: 17087 grad_norm: 4.8446 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7070 loss: 1.7070 2022/08/03 16:41:13 - mmengine - INFO - Epoch(train) [34][180/1879] lr: 1.0000e-02 eta: 2 days, 1:49:33 time: 0.4318 data_time: 0.0205 memory: 17087 grad_norm: 4.8656 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6972 loss: 1.6972 2022/08/03 16:41:22 - mmengine - INFO - Epoch(train) [34][200/1879] lr: 1.0000e-02 eta: 2 days, 1:49:27 time: 0.4467 data_time: 0.0190 memory: 17087 grad_norm: 4.8106 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7505 loss: 1.7505 2022/08/03 16:41:30 - mmengine - INFO - Epoch(train) [34][220/1879] lr: 1.0000e-02 eta: 2 days, 1:49:18 time: 0.4248 data_time: 0.0144 memory: 17087 grad_norm: 4.7999 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7136 loss: 1.7136 2022/08/03 16:41:39 - mmengine - INFO - Epoch(train) [34][240/1879] lr: 1.0000e-02 eta: 2 days, 1:49:11 time: 0.4349 data_time: 0.0149 memory: 17087 grad_norm: 5.0007 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7122 loss: 1.7122 2022/08/03 16:41:48 - mmengine - INFO - Epoch(train) [34][260/1879] lr: 1.0000e-02 eta: 2 days, 1:49:02 time: 0.4314 data_time: 0.0153 memory: 17087 grad_norm: 4.8413 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6394 loss: 1.6394 2022/08/03 16:41:56 - mmengine - INFO - Epoch(train) [34][280/1879] lr: 1.0000e-02 eta: 2 days, 1:48:53 time: 0.4246 data_time: 0.0150 memory: 17087 grad_norm: 4.8190 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6995 loss: 1.6995 2022/08/03 16:42:05 - mmengine - INFO - Epoch(train) [34][300/1879] lr: 1.0000e-02 eta: 2 days, 1:48:47 time: 0.4429 data_time: 0.0141 memory: 17087 grad_norm: 4.7468 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8368 loss: 1.8368 2022/08/03 16:42:14 - mmengine - INFO - Epoch(train) [34][320/1879] lr: 1.0000e-02 eta: 2 days, 1:48:38 time: 0.4281 data_time: 0.0157 memory: 17087 grad_norm: 4.6533 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6484 loss: 1.6484 2022/08/03 16:42:22 - mmengine - INFO - Epoch(train) [34][340/1879] lr: 1.0000e-02 eta: 2 days, 1:48:30 time: 0.4325 data_time: 0.0171 memory: 17087 grad_norm: 4.6845 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7351 loss: 1.7351 2022/08/03 16:42:31 - mmengine - INFO - Epoch(train) [34][360/1879] lr: 1.0000e-02 eta: 2 days, 1:48:21 time: 0.4257 data_time: 0.0152 memory: 17087 grad_norm: 4.9471 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6821 loss: 1.6821 2022/08/03 16:42:39 - mmengine - INFO - Epoch(train) [34][380/1879] lr: 1.0000e-02 eta: 2 days, 1:48:12 time: 0.4251 data_time: 0.0142 memory: 17087 grad_norm: 4.7453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3997 loss: 1.3997 2022/08/03 16:42:48 - mmengine - INFO - Epoch(train) [34][400/1879] lr: 1.0000e-02 eta: 2 days, 1:48:04 time: 0.4290 data_time: 0.0160 memory: 17087 grad_norm: 4.7726 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6397 loss: 1.6397 2022/08/03 16:42:56 - mmengine - INFO - Epoch(train) [34][420/1879] lr: 1.0000e-02 eta: 2 days, 1:47:54 time: 0.4226 data_time: 0.0138 memory: 17087 grad_norm: 4.7496 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6755 loss: 1.6755 2022/08/03 16:43:05 - mmengine - INFO - Epoch(train) [34][440/1879] lr: 1.0000e-02 eta: 2 days, 1:47:46 time: 0.4306 data_time: 0.0171 memory: 17087 grad_norm: 4.8756 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.7774 loss: 1.7774 2022/08/03 16:43:14 - mmengine - INFO - Epoch(train) [34][460/1879] lr: 1.0000e-02 eta: 2 days, 1:47:38 time: 0.4281 data_time: 0.0160 memory: 17087 grad_norm: 4.6899 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4791 loss: 1.4791 2022/08/03 16:43:22 - mmengine - INFO - Epoch(train) [34][480/1879] lr: 1.0000e-02 eta: 2 days, 1:47:30 time: 0.4369 data_time: 0.0153 memory: 17087 grad_norm: 4.8147 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5147 loss: 1.5147 2022/08/03 16:43:31 - mmengine - INFO - Epoch(train) [34][500/1879] lr: 1.0000e-02 eta: 2 days, 1:47:22 time: 0.4282 data_time: 0.0149 memory: 17087 grad_norm: 4.7022 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8347 loss: 1.8347 2022/08/03 16:43:39 - mmengine - INFO - Epoch(train) [34][520/1879] lr: 1.0000e-02 eta: 2 days, 1:47:13 time: 0.4243 data_time: 0.0155 memory: 17087 grad_norm: 4.8362 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7334 loss: 1.7334 2022/08/03 16:43:48 - mmengine - INFO - Epoch(train) [34][540/1879] lr: 1.0000e-02 eta: 2 days, 1:47:07 time: 0.4477 data_time: 0.0158 memory: 17087 grad_norm: 4.8783 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7961 loss: 1.7961 2022/08/03 16:43:57 - mmengine - INFO - Epoch(train) [34][560/1879] lr: 1.0000e-02 eta: 2 days, 1:46:57 time: 0.4236 data_time: 0.0146 memory: 17087 grad_norm: 4.7710 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8198 loss: 1.8198 2022/08/03 16:44:05 - mmengine - INFO - Epoch(train) [34][580/1879] lr: 1.0000e-02 eta: 2 days, 1:46:49 time: 0.4275 data_time: 0.0187 memory: 17087 grad_norm: 4.8495 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7088 loss: 1.7088 2022/08/03 16:44:14 - mmengine - INFO - Epoch(train) [34][600/1879] lr: 1.0000e-02 eta: 2 days, 1:46:44 time: 0.4537 data_time: 0.0176 memory: 17087 grad_norm: 4.8615 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7406 loss: 1.7406 2022/08/03 16:44:23 - mmengine - INFO - Epoch(train) [34][620/1879] lr: 1.0000e-02 eta: 2 days, 1:46:35 time: 0.4272 data_time: 0.0179 memory: 17087 grad_norm: 4.9446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4678 loss: 1.4678 2022/08/03 16:44:32 - mmengine - INFO - Epoch(train) [34][640/1879] lr: 1.0000e-02 eta: 2 days, 1:46:26 time: 0.4295 data_time: 0.0163 memory: 17087 grad_norm: 4.6752 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7043 loss: 1.7043 2022/08/03 16:44:40 - mmengine - INFO - Epoch(train) [34][660/1879] lr: 1.0000e-02 eta: 2 days, 1:46:17 time: 0.4253 data_time: 0.0146 memory: 17087 grad_norm: 4.7998 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5740 loss: 1.5740 2022/08/03 16:44:49 - mmengine - INFO - Epoch(train) [34][680/1879] lr: 1.0000e-02 eta: 2 days, 1:46:09 time: 0.4286 data_time: 0.0155 memory: 17087 grad_norm: 4.8522 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6190 loss: 1.6190 2022/08/03 16:44:57 - mmengine - INFO - Epoch(train) [34][700/1879] lr: 1.0000e-02 eta: 2 days, 1:46:00 time: 0.4244 data_time: 0.0148 memory: 17087 grad_norm: 4.9449 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7384 loss: 1.7384 2022/08/03 16:45:06 - mmengine - INFO - Epoch(train) [34][720/1879] lr: 1.0000e-02 eta: 2 days, 1:45:51 time: 0.4254 data_time: 0.0153 memory: 17087 grad_norm: 4.7264 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8466 loss: 1.8466 2022/08/03 16:45:15 - mmengine - INFO - Epoch(train) [34][740/1879] lr: 1.0000e-02 eta: 2 days, 1:45:45 time: 0.4448 data_time: 0.0133 memory: 17087 grad_norm: 4.7591 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7245 loss: 1.7245 2022/08/03 16:45:23 - mmengine - INFO - Epoch(train) [34][760/1879] lr: 1.0000e-02 eta: 2 days, 1:45:36 time: 0.4277 data_time: 0.0162 memory: 17087 grad_norm: 4.7692 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7186 loss: 1.7186 2022/08/03 16:45:32 - mmengine - INFO - Epoch(train) [34][780/1879] lr: 1.0000e-02 eta: 2 days, 1:45:28 time: 0.4372 data_time: 0.0167 memory: 17087 grad_norm: 4.8334 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6311 loss: 1.6311 2022/08/03 16:45:40 - mmengine - INFO - Epoch(train) [34][800/1879] lr: 1.0000e-02 eta: 2 days, 1:45:20 time: 0.4266 data_time: 0.0165 memory: 17087 grad_norm: 4.7999 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8602 loss: 1.8602 2022/08/03 16:45:49 - mmengine - INFO - Epoch(train) [34][820/1879] lr: 1.0000e-02 eta: 2 days, 1:45:12 time: 0.4350 data_time: 0.0159 memory: 17087 grad_norm: 4.8809 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7616 loss: 1.7616 2022/08/03 16:45:58 - mmengine - INFO - Epoch(train) [34][840/1879] lr: 1.0000e-02 eta: 2 days, 1:45:03 time: 0.4275 data_time: 0.0170 memory: 17087 grad_norm: 4.8234 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8415 loss: 1.8415 2022/08/03 16:46:06 - mmengine - INFO - Epoch(train) [34][860/1879] lr: 1.0000e-02 eta: 2 days, 1:44:54 time: 0.4230 data_time: 0.0142 memory: 17087 grad_norm: 4.8506 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7150 loss: 1.7150 2022/08/03 16:46:15 - mmengine - INFO - Epoch(train) [34][880/1879] lr: 1.0000e-02 eta: 2 days, 1:44:46 time: 0.4308 data_time: 0.0153 memory: 17087 grad_norm: 4.8438 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6932 loss: 1.6932 2022/08/03 16:46:23 - mmengine - INFO - Epoch(train) [34][900/1879] lr: 1.0000e-02 eta: 2 days, 1:44:37 time: 0.4245 data_time: 0.0144 memory: 17087 grad_norm: 4.9350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6584 loss: 1.6584 2022/08/03 16:46:32 - mmengine - INFO - Epoch(train) [34][920/1879] lr: 1.0000e-02 eta: 2 days, 1:44:28 time: 0.4289 data_time: 0.0161 memory: 17087 grad_norm: 4.6763 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7697 loss: 1.7697 2022/08/03 16:46:41 - mmengine - INFO - Epoch(train) [34][940/1879] lr: 1.0000e-02 eta: 2 days, 1:44:23 time: 0.4515 data_time: 0.0152 memory: 17087 grad_norm: 4.8010 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5714 loss: 1.5714 2022/08/03 16:46:50 - mmengine - INFO - Epoch(train) [34][960/1879] lr: 1.0000e-02 eta: 2 days, 1:44:14 time: 0.4243 data_time: 0.0157 memory: 17087 grad_norm: 4.8834 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8883 loss: 1.8883 2022/08/03 16:46:58 - mmengine - INFO - Epoch(train) [34][980/1879] lr: 1.0000e-02 eta: 2 days, 1:44:09 time: 0.4540 data_time: 0.0177 memory: 17087 grad_norm: 4.7333 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6446 loss: 1.6446 2022/08/03 16:47:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:47:07 - mmengine - INFO - Epoch(train) [34][1000/1879] lr: 1.0000e-02 eta: 2 days, 1:44:00 time: 0.4271 data_time: 0.0152 memory: 17087 grad_norm: 4.7355 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5693 loss: 1.5693 2022/08/03 16:47:16 - mmengine - INFO - Epoch(train) [34][1020/1879] lr: 1.0000e-02 eta: 2 days, 1:43:51 time: 0.4242 data_time: 0.0144 memory: 17087 grad_norm: 4.9128 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7852 loss: 1.7852 2022/08/03 16:47:25 - mmengine - INFO - Epoch(train) [34][1040/1879] lr: 1.0000e-02 eta: 2 days, 1:43:45 time: 0.4515 data_time: 0.0157 memory: 17087 grad_norm: 5.0195 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7150 loss: 1.7150 2022/08/03 16:47:33 - mmengine - INFO - Epoch(train) [34][1060/1879] lr: 1.0000e-02 eta: 2 days, 1:43:37 time: 0.4305 data_time: 0.0192 memory: 17087 grad_norm: 4.8697 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6416 loss: 1.6416 2022/08/03 16:47:42 - mmengine - INFO - Epoch(train) [34][1080/1879] lr: 1.0000e-02 eta: 2 days, 1:43:31 time: 0.4480 data_time: 0.0153 memory: 17087 grad_norm: 4.8483 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7587 loss: 1.7587 2022/08/03 16:47:51 - mmengine - INFO - Epoch(train) [34][1100/1879] lr: 1.0000e-02 eta: 2 days, 1:43:22 time: 0.4278 data_time: 0.0185 memory: 17087 grad_norm: 4.7940 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6134 loss: 1.6134 2022/08/03 16:47:59 - mmengine - INFO - Epoch(train) [34][1120/1879] lr: 1.0000e-02 eta: 2 days, 1:43:13 time: 0.4246 data_time: 0.0157 memory: 17087 grad_norm: 4.7785 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8340 loss: 1.8340 2022/08/03 16:48:08 - mmengine - INFO - Epoch(train) [34][1140/1879] lr: 1.0000e-02 eta: 2 days, 1:43:09 time: 0.4643 data_time: 0.0183 memory: 17087 grad_norm: 4.8544 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7483 loss: 1.7483 2022/08/03 16:48:17 - mmengine - INFO - Epoch(train) [34][1160/1879] lr: 1.0000e-02 eta: 2 days, 1:43:00 time: 0.4240 data_time: 0.0143 memory: 17087 grad_norm: 4.7204 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6674 loss: 1.6674 2022/08/03 16:48:26 - mmengine - INFO - Epoch(train) [34][1180/1879] lr: 1.0000e-02 eta: 2 days, 1:42:52 time: 0.4285 data_time: 0.0192 memory: 17087 grad_norm: 4.8691 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6772 loss: 1.6772 2022/08/03 16:48:34 - mmengine - INFO - Epoch(train) [34][1200/1879] lr: 1.0000e-02 eta: 2 days, 1:42:44 time: 0.4350 data_time: 0.0159 memory: 17087 grad_norm: 4.8371 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6005 loss: 1.6005 2022/08/03 16:48:43 - mmengine - INFO - Epoch(train) [34][1220/1879] lr: 1.0000e-02 eta: 2 days, 1:42:35 time: 0.4244 data_time: 0.0155 memory: 17087 grad_norm: 4.8128 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5655 loss: 1.5655 2022/08/03 16:48:51 - mmengine - INFO - Epoch(train) [34][1240/1879] lr: 1.0000e-02 eta: 2 days, 1:42:27 time: 0.4310 data_time: 0.0155 memory: 17087 grad_norm: 4.8751 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8226 loss: 1.8226 2022/08/03 16:49:00 - mmengine - INFO - Epoch(train) [34][1260/1879] lr: 1.0000e-02 eta: 2 days, 1:42:18 time: 0.4239 data_time: 0.0143 memory: 17087 grad_norm: 4.7149 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5575 loss: 1.5575 2022/08/03 16:49:09 - mmengine - INFO - Epoch(train) [34][1280/1879] lr: 1.0000e-02 eta: 2 days, 1:42:11 time: 0.4398 data_time: 0.0192 memory: 17087 grad_norm: 4.7979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8894 loss: 1.8894 2022/08/03 16:49:17 - mmengine - INFO - Epoch(train) [34][1300/1879] lr: 1.0000e-02 eta: 2 days, 1:42:02 time: 0.4245 data_time: 0.0141 memory: 17087 grad_norm: 4.7534 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7554 loss: 1.7554 2022/08/03 16:49:26 - mmengine - INFO - Epoch(train) [34][1320/1879] lr: 1.0000e-02 eta: 2 days, 1:41:52 time: 0.4233 data_time: 0.0155 memory: 17087 grad_norm: 4.9385 top1_acc: 0.3125 top5_acc: 0.9375 loss_cls: 1.7031 loss: 1.7031 2022/08/03 16:49:34 - mmengine - INFO - Epoch(train) [34][1340/1879] lr: 1.0000e-02 eta: 2 days, 1:41:43 time: 0.4261 data_time: 0.0149 memory: 17087 grad_norm: 4.8903 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5563 loss: 1.5563 2022/08/03 16:49:43 - mmengine - INFO - Epoch(train) [34][1360/1879] lr: 1.0000e-02 eta: 2 days, 1:41:34 time: 0.4229 data_time: 0.0151 memory: 17087 grad_norm: 4.9601 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8582 loss: 1.8582 2022/08/03 16:49:51 - mmengine - INFO - Epoch(train) [34][1380/1879] lr: 1.0000e-02 eta: 2 days, 1:41:27 time: 0.4398 data_time: 0.0157 memory: 17087 grad_norm: 4.9511 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6469 loss: 1.6469 2022/08/03 16:50:00 - mmengine - INFO - Epoch(train) [34][1400/1879] lr: 1.0000e-02 eta: 2 days, 1:41:18 time: 0.4257 data_time: 0.0161 memory: 17087 grad_norm: 4.7806 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6097 loss: 1.6097 2022/08/03 16:50:09 - mmengine - INFO - Epoch(train) [34][1420/1879] lr: 1.0000e-02 eta: 2 days, 1:41:10 time: 0.4319 data_time: 0.0148 memory: 17087 grad_norm: 4.9776 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6808 loss: 1.6808 2022/08/03 16:50:17 - mmengine - INFO - Epoch(train) [34][1440/1879] lr: 1.0000e-02 eta: 2 days, 1:41:01 time: 0.4264 data_time: 0.0160 memory: 17087 grad_norm: 4.9690 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7853 loss: 1.7853 2022/08/03 16:50:26 - mmengine - INFO - Epoch(train) [34][1460/1879] lr: 1.0000e-02 eta: 2 days, 1:40:52 time: 0.4250 data_time: 0.0153 memory: 17087 grad_norm: 4.8350 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6790 loss: 1.6790 2022/08/03 16:50:35 - mmengine - INFO - Epoch(train) [34][1480/1879] lr: 1.0000e-02 eta: 2 days, 1:40:48 time: 0.4587 data_time: 0.0154 memory: 17087 grad_norm: 4.9116 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.9539 loss: 1.9539 2022/08/03 16:50:43 - mmengine - INFO - Epoch(train) [34][1500/1879] lr: 1.0000e-02 eta: 2 days, 1:40:39 time: 0.4297 data_time: 0.0201 memory: 17087 grad_norm: 4.7212 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6686 loss: 1.6686 2022/08/03 16:50:52 - mmengine - INFO - Epoch(train) [34][1520/1879] lr: 1.0000e-02 eta: 2 days, 1:40:31 time: 0.4293 data_time: 0.0149 memory: 17087 grad_norm: 4.9202 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7160 loss: 1.7160 2022/08/03 16:51:00 - mmengine - INFO - Epoch(train) [34][1540/1879] lr: 1.0000e-02 eta: 2 days, 1:40:22 time: 0.4256 data_time: 0.0149 memory: 17087 grad_norm: 5.0271 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5807 loss: 1.5807 2022/08/03 16:51:10 - mmengine - INFO - Epoch(train) [34][1560/1879] lr: 1.0000e-02 eta: 2 days, 1:40:16 time: 0.4516 data_time: 0.0173 memory: 17087 grad_norm: 4.8328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7813 loss: 1.7813 2022/08/03 16:51:18 - mmengine - INFO - Epoch(train) [34][1580/1879] lr: 1.0000e-02 eta: 2 days, 1:40:08 time: 0.4301 data_time: 0.0207 memory: 17087 grad_norm: 4.8283 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5855 loss: 1.5855 2022/08/03 16:51:27 - mmengine - INFO - Epoch(train) [34][1600/1879] lr: 1.0000e-02 eta: 2 days, 1:39:59 time: 0.4241 data_time: 0.0151 memory: 17087 grad_norm: 4.9106 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8502 loss: 1.8502 2022/08/03 16:51:35 - mmengine - INFO - Epoch(train) [34][1620/1879] lr: 1.0000e-02 eta: 2 days, 1:39:51 time: 0.4295 data_time: 0.0146 memory: 17087 grad_norm: 4.8798 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8200 loss: 1.8200 2022/08/03 16:51:44 - mmengine - INFO - Epoch(train) [34][1640/1879] lr: 1.0000e-02 eta: 2 days, 1:39:42 time: 0.4256 data_time: 0.0152 memory: 17087 grad_norm: 4.8261 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6449 loss: 1.6449 2022/08/03 16:51:52 - mmengine - INFO - Epoch(train) [34][1660/1879] lr: 1.0000e-02 eta: 2 days, 1:39:33 time: 0.4305 data_time: 0.0161 memory: 17087 grad_norm: 4.8805 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7585 loss: 1.7585 2022/08/03 16:52:01 - mmengine - INFO - Epoch(train) [34][1680/1879] lr: 1.0000e-02 eta: 2 days, 1:39:24 time: 0.4264 data_time: 0.0180 memory: 17087 grad_norm: 4.8707 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7322 loss: 1.7322 2022/08/03 16:52:10 - mmengine - INFO - Epoch(train) [34][1700/1879] lr: 1.0000e-02 eta: 2 days, 1:39:19 time: 0.4533 data_time: 0.0142 memory: 17087 grad_norm: 4.9188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6525 loss: 1.6525 2022/08/03 16:52:19 - mmengine - INFO - Epoch(train) [34][1720/1879] lr: 1.0000e-02 eta: 2 days, 1:39:11 time: 0.4282 data_time: 0.0148 memory: 17087 grad_norm: 4.6869 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8006 loss: 1.8006 2022/08/03 16:52:27 - mmengine - INFO - Epoch(train) [34][1740/1879] lr: 1.0000e-02 eta: 2 days, 1:39:03 time: 0.4376 data_time: 0.0159 memory: 17087 grad_norm: 4.8209 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6397 loss: 1.6397 2022/08/03 16:52:36 - mmengine - INFO - Epoch(train) [34][1760/1879] lr: 1.0000e-02 eta: 2 days, 1:38:54 time: 0.4244 data_time: 0.0148 memory: 17087 grad_norm: 4.7854 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8328 loss: 1.8328 2022/08/03 16:52:45 - mmengine - INFO - Epoch(train) [34][1780/1879] lr: 1.0000e-02 eta: 2 days, 1:38:47 time: 0.4427 data_time: 0.0175 memory: 17087 grad_norm: 5.0200 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8085 loss: 1.8085 2022/08/03 16:52:53 - mmengine - INFO - Epoch(train) [34][1800/1879] lr: 1.0000e-02 eta: 2 days, 1:38:39 time: 0.4315 data_time: 0.0195 memory: 17087 grad_norm: 4.9991 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7255 loss: 1.7255 2022/08/03 16:53:02 - mmengine - INFO - Epoch(train) [34][1820/1879] lr: 1.0000e-02 eta: 2 days, 1:38:33 time: 0.4449 data_time: 0.0149 memory: 17087 grad_norm: 4.7489 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6069 loss: 1.6069 2022/08/03 16:53:11 - mmengine - INFO - Epoch(train) [34][1840/1879] lr: 1.0000e-02 eta: 2 days, 1:38:25 time: 0.4334 data_time: 0.0202 memory: 17087 grad_norm: 4.8275 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.8310 loss: 1.8310 2022/08/03 16:53:20 - mmengine - INFO - Epoch(train) [34][1860/1879] lr: 1.0000e-02 eta: 2 days, 1:38:18 time: 0.4427 data_time: 0.0146 memory: 17087 grad_norm: 4.9246 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7767 loss: 1.7767 2022/08/03 16:53:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:53:27 - mmengine - INFO - Epoch(train) [34][1879/1879] lr: 1.0000e-02 eta: 2 days, 1:38:18 time: 0.4066 data_time: 0.0141 memory: 17087 grad_norm: 5.0033 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.7316 loss: 1.7316 2022/08/03 16:53:39 - mmengine - INFO - Epoch(train) [35][20/1879] lr: 1.0000e-02 eta: 2 days, 1:37:25 time: 0.5582 data_time: 0.1238 memory: 17087 grad_norm: 4.7516 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6426 loss: 1.6426 2022/08/03 16:53:47 - mmengine - INFO - Epoch(train) [35][40/1879] lr: 1.0000e-02 eta: 2 days, 1:37:16 time: 0.4249 data_time: 0.0152 memory: 17087 grad_norm: 4.7650 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6733 loss: 1.6733 2022/08/03 16:53:56 - mmengine - INFO - Epoch(train) [35][60/1879] lr: 1.0000e-02 eta: 2 days, 1:37:08 time: 0.4282 data_time: 0.0146 memory: 17087 grad_norm: 4.8430 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7986 loss: 1.7986 2022/08/03 16:54:05 - mmengine - INFO - Epoch(train) [35][80/1879] lr: 1.0000e-02 eta: 2 days, 1:37:02 time: 0.4474 data_time: 0.0170 memory: 17087 grad_norm: 4.7647 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6079 loss: 1.6079 2022/08/03 16:54:13 - mmengine - INFO - Epoch(train) [35][100/1879] lr: 1.0000e-02 eta: 2 days, 1:36:53 time: 0.4247 data_time: 0.0152 memory: 17087 grad_norm: 4.8029 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6413 loss: 1.6413 2022/08/03 16:54:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 16:54:22 - mmengine - INFO - Epoch(train) [35][120/1879] lr: 1.0000e-02 eta: 2 days, 1:36:44 time: 0.4275 data_time: 0.0170 memory: 17087 grad_norm: 4.8702 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5904 loss: 1.5904 2022/08/03 16:54:30 - mmengine - INFO - Epoch(train) [35][140/1879] lr: 1.0000e-02 eta: 2 days, 1:36:35 time: 0.4248 data_time: 0.0160 memory: 17087 grad_norm: 4.7745 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7491 loss: 1.7491 2022/08/03 16:54:39 - mmengine - INFO - Epoch(train) [35][160/1879] lr: 1.0000e-02 eta: 2 days, 1:36:27 time: 0.4315 data_time: 0.0159 memory: 17087 grad_norm: 4.8517 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8003 loss: 1.8003 2022/08/03 16:54:47 - mmengine - INFO - Epoch(train) [35][180/1879] lr: 1.0000e-02 eta: 2 days, 1:36:18 time: 0.4230 data_time: 0.0151 memory: 17087 grad_norm: 4.7730 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6494 loss: 1.6494 2022/08/03 16:54:56 - mmengine - INFO - Epoch(train) [35][200/1879] lr: 1.0000e-02 eta: 2 days, 1:36:09 time: 0.4255 data_time: 0.0152 memory: 17087 grad_norm: 4.7368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.9604 loss: 1.9604 2022/08/03 16:55:05 - mmengine - INFO - Epoch(train) [35][220/1879] lr: 1.0000e-02 eta: 2 days, 1:36:01 time: 0.4349 data_time: 0.0149 memory: 17087 grad_norm: 4.8803 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8031 loss: 1.8031 2022/08/03 16:55:13 - mmengine - INFO - Epoch(train) [35][240/1879] lr: 1.0000e-02 eta: 2 days, 1:35:53 time: 0.4291 data_time: 0.0194 memory: 17087 grad_norm: 4.7597 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5719 loss: 1.5719 2022/08/03 16:55:22 - mmengine - INFO - Epoch(train) [35][260/1879] lr: 1.0000e-02 eta: 2 days, 1:35:47 time: 0.4481 data_time: 0.0149 memory: 17087 grad_norm: 4.8096 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5262 loss: 1.5262 2022/08/03 16:55:31 - mmengine - INFO - Epoch(train) [35][280/1879] lr: 1.0000e-02 eta: 2 days, 1:35:38 time: 0.4252 data_time: 0.0147 memory: 17087 grad_norm: 4.8105 top1_acc: 0.1875 top5_acc: 0.6875 loss_cls: 1.8311 loss: 1.8311 2022/08/03 16:55:40 - mmengine - INFO - Epoch(train) [35][300/1879] lr: 1.0000e-02 eta: 2 days, 1:35:32 time: 0.4503 data_time: 0.0173 memory: 17087 grad_norm: 4.9469 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7245 loss: 1.7245 2022/08/03 16:55:48 - mmengine - INFO - Epoch(train) [35][320/1879] lr: 1.0000e-02 eta: 2 days, 1:35:23 time: 0.4252 data_time: 0.0149 memory: 17087 grad_norm: 4.8279 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5576 loss: 1.5576 2022/08/03 16:55:57 - mmengine - INFO - Epoch(train) [35][340/1879] lr: 1.0000e-02 eta: 2 days, 1:35:14 time: 0.4285 data_time: 0.0182 memory: 17087 grad_norm: 4.8434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4843 loss: 1.4843 2022/08/03 16:56:05 - mmengine - INFO - Epoch(train) [35][360/1879] lr: 1.0000e-02 eta: 2 days, 1:35:06 time: 0.4262 data_time: 0.0156 memory: 17087 grad_norm: 4.8615 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7563 loss: 1.7563 2022/08/03 16:56:14 - mmengine - INFO - Epoch(train) [35][380/1879] lr: 1.0000e-02 eta: 2 days, 1:34:57 time: 0.4258 data_time: 0.0135 memory: 17087 grad_norm: 4.7158 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7351 loss: 1.7351 2022/08/03 16:56:22 - mmengine - INFO - Epoch(train) [35][400/1879] lr: 1.0000e-02 eta: 2 days, 1:34:48 time: 0.4302 data_time: 0.0190 memory: 17087 grad_norm: 4.8497 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7377 loss: 1.7377 2022/08/03 16:56:31 - mmengine - INFO - Epoch(train) [35][420/1879] lr: 1.0000e-02 eta: 2 days, 1:34:40 time: 0.4265 data_time: 0.0159 memory: 17087 grad_norm: 4.8868 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7116 loss: 1.7116 2022/08/03 16:56:40 - mmengine - INFO - Epoch(train) [35][440/1879] lr: 1.0000e-02 eta: 2 days, 1:34:34 time: 0.4507 data_time: 0.0183 memory: 17087 grad_norm: 4.7480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8914 loss: 1.8914 2022/08/03 16:56:48 - mmengine - INFO - Epoch(train) [35][460/1879] lr: 1.0000e-02 eta: 2 days, 1:34:25 time: 0.4239 data_time: 0.0121 memory: 17087 grad_norm: 4.8328 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8314 loss: 1.8314 2022/08/03 16:56:57 - mmengine - INFO - Epoch(train) [35][480/1879] lr: 1.0000e-02 eta: 2 days, 1:34:17 time: 0.4311 data_time: 0.0230 memory: 17087 grad_norm: 4.9026 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7158 loss: 1.7158 2022/08/03 16:57:06 - mmengine - INFO - Epoch(train) [35][500/1879] lr: 1.0000e-02 eta: 2 days, 1:34:08 time: 0.4306 data_time: 0.0148 memory: 17087 grad_norm: 4.8187 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5811 loss: 1.5811 2022/08/03 16:57:14 - mmengine - INFO - Epoch(train) [35][520/1879] lr: 1.0000e-02 eta: 2 days, 1:34:00 time: 0.4294 data_time: 0.0170 memory: 17087 grad_norm: 4.7724 top1_acc: 0.2500 top5_acc: 0.6875 loss_cls: 1.7653 loss: 1.7653 2022/08/03 16:57:23 - mmengine - INFO - Epoch(train) [35][540/1879] lr: 1.0000e-02 eta: 2 days, 1:33:52 time: 0.4341 data_time: 0.0152 memory: 17087 grad_norm: 4.8253 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8323 loss: 1.8323 2022/08/03 16:57:31 - mmengine - INFO - Epoch(train) [35][560/1879] lr: 1.0000e-02 eta: 2 days, 1:33:43 time: 0.4271 data_time: 0.0164 memory: 17087 grad_norm: 4.9032 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4744 loss: 1.4744 2022/08/03 16:57:41 - mmengine - INFO - Epoch(train) [35][580/1879] lr: 1.0000e-02 eta: 2 days, 1:33:39 time: 0.4587 data_time: 0.0172 memory: 17087 grad_norm: 4.8992 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4078 loss: 1.4078 2022/08/03 16:57:49 - mmengine - INFO - Epoch(train) [35][600/1879] lr: 1.0000e-02 eta: 2 days, 1:33:30 time: 0.4316 data_time: 0.0199 memory: 17087 grad_norm: 4.8833 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7511 loss: 1.7511 2022/08/03 16:57:58 - mmengine - INFO - Epoch(train) [35][620/1879] lr: 1.0000e-02 eta: 2 days, 1:33:21 time: 0.4244 data_time: 0.0134 memory: 17087 grad_norm: 4.7382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7675 loss: 1.7675 2022/08/03 16:58:06 - mmengine - INFO - Epoch(train) [35][640/1879] lr: 1.0000e-02 eta: 2 days, 1:33:13 time: 0.4326 data_time: 0.0186 memory: 17087 grad_norm: 4.9274 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5858 loss: 1.5858 2022/08/03 16:58:15 - mmengine - INFO - Epoch(train) [35][660/1879] lr: 1.0000e-02 eta: 2 days, 1:33:04 time: 0.4256 data_time: 0.0142 memory: 17087 grad_norm: 4.9721 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6070 loss: 1.6070 2022/08/03 16:58:23 - mmengine - INFO - Epoch(train) [35][680/1879] lr: 1.0000e-02 eta: 2 days, 1:32:56 time: 0.4280 data_time: 0.0167 memory: 17087 grad_norm: 4.7495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5162 loss: 1.5162 2022/08/03 16:58:32 - mmengine - INFO - Epoch(train) [35][700/1879] lr: 1.0000e-02 eta: 2 days, 1:32:46 time: 0.4216 data_time: 0.0128 memory: 17087 grad_norm: 4.7868 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5853 loss: 1.5853 2022/08/03 16:58:41 - mmengine - INFO - Epoch(train) [35][720/1879] lr: 1.0000e-02 eta: 2 days, 1:32:40 time: 0.4473 data_time: 0.0151 memory: 17087 grad_norm: 4.9220 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8239 loss: 1.8239 2022/08/03 16:58:49 - mmengine - INFO - Epoch(train) [35][740/1879] lr: 1.0000e-02 eta: 2 days, 1:32:32 time: 0.4287 data_time: 0.0182 memory: 17087 grad_norm: 4.8553 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9135 loss: 1.9135 2022/08/03 16:58:58 - mmengine - INFO - Epoch(train) [35][760/1879] lr: 1.0000e-02 eta: 2 days, 1:32:23 time: 0.4248 data_time: 0.0169 memory: 17087 grad_norm: 4.8388 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6855 loss: 1.6855 2022/08/03 16:59:07 - mmengine - INFO - Epoch(train) [35][780/1879] lr: 1.0000e-02 eta: 2 days, 1:32:17 time: 0.4480 data_time: 0.0145 memory: 17087 grad_norm: 4.6405 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6284 loss: 1.6284 2022/08/03 16:59:16 - mmengine - INFO - Epoch(train) [35][800/1879] lr: 1.0000e-02 eta: 2 days, 1:32:09 time: 0.4330 data_time: 0.0226 memory: 17087 grad_norm: 4.8254 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5293 loss: 1.5293 2022/08/03 16:59:24 - mmengine - INFO - Epoch(train) [35][820/1879] lr: 1.0000e-02 eta: 2 days, 1:32:02 time: 0.4412 data_time: 0.0141 memory: 17087 grad_norm: 4.9703 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6177 loss: 1.6177 2022/08/03 16:59:33 - mmengine - INFO - Epoch(train) [35][840/1879] lr: 1.0000e-02 eta: 2 days, 1:31:54 time: 0.4313 data_time: 0.0233 memory: 17087 grad_norm: 4.7654 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5924 loss: 1.5924 2022/08/03 16:59:42 - mmengine - INFO - Epoch(train) [35][860/1879] lr: 1.0000e-02 eta: 2 days, 1:31:46 time: 0.4321 data_time: 0.0127 memory: 17087 grad_norm: 4.7921 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5610 loss: 1.5610 2022/08/03 16:59:50 - mmengine - INFO - Epoch(train) [35][880/1879] lr: 1.0000e-02 eta: 2 days, 1:31:38 time: 0.4327 data_time: 0.0210 memory: 17087 grad_norm: 4.9049 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6717 loss: 1.6717 2022/08/03 16:59:59 - mmengine - INFO - Epoch(train) [35][900/1879] lr: 1.0000e-02 eta: 2 days, 1:31:32 time: 0.4537 data_time: 0.0172 memory: 17087 grad_norm: 4.8245 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7660 loss: 1.7660 2022/08/03 17:00:08 - mmengine - INFO - Epoch(train) [35][920/1879] lr: 1.0000e-02 eta: 2 days, 1:31:23 time: 0.4264 data_time: 0.0169 memory: 17087 grad_norm: 4.8563 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7870 loss: 1.7870 2022/08/03 17:00:17 - mmengine - INFO - Epoch(train) [35][940/1879] lr: 1.0000e-02 eta: 2 days, 1:31:15 time: 0.4298 data_time: 0.0215 memory: 17087 grad_norm: 4.6872 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7221 loss: 1.7221 2022/08/03 17:00:25 - mmengine - INFO - Epoch(train) [35][960/1879] lr: 1.0000e-02 eta: 2 days, 1:31:07 time: 0.4306 data_time: 0.0171 memory: 17087 grad_norm: 5.0481 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9195 loss: 1.9195 2022/08/03 17:00:34 - mmengine - INFO - Epoch(train) [35][980/1879] lr: 1.0000e-02 eta: 2 days, 1:30:58 time: 0.4246 data_time: 0.0162 memory: 17087 grad_norm: 4.7828 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8200 loss: 1.8200 2022/08/03 17:00:42 - mmengine - INFO - Epoch(train) [35][1000/1879] lr: 1.0000e-02 eta: 2 days, 1:30:49 time: 0.4279 data_time: 0.0163 memory: 17087 grad_norm: 4.8496 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7226 loss: 1.7226 2022/08/03 17:00:51 - mmengine - INFO - Epoch(train) [35][1020/1879] lr: 1.0000e-02 eta: 2 days, 1:30:40 time: 0.4257 data_time: 0.0152 memory: 17087 grad_norm: 4.7524 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6135 loss: 1.6135 2022/08/03 17:00:59 - mmengine - INFO - Epoch(train) [35][1040/1879] lr: 1.0000e-02 eta: 2 days, 1:30:32 time: 0.4276 data_time: 0.0160 memory: 17087 grad_norm: 4.8339 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7152 loss: 1.7152 2022/08/03 17:01:08 - mmengine - INFO - Epoch(train) [35][1060/1879] lr: 1.0000e-02 eta: 2 days, 1:30:23 time: 0.4260 data_time: 0.0164 memory: 17087 grad_norm: 4.9242 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9039 loss: 1.9039 2022/08/03 17:01:16 - mmengine - INFO - Epoch(train) [35][1080/1879] lr: 1.0000e-02 eta: 2 days, 1:30:14 time: 0.4272 data_time: 0.0168 memory: 17087 grad_norm: 4.8807 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6793 loss: 1.6793 2022/08/03 17:01:25 - mmengine - INFO - Epoch(train) [35][1100/1879] lr: 1.0000e-02 eta: 2 days, 1:30:06 time: 0.4287 data_time: 0.0151 memory: 17087 grad_norm: 4.8877 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6082 loss: 1.6082 2022/08/03 17:01:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:01:33 - mmengine - INFO - Epoch(train) [35][1120/1879] lr: 1.0000e-02 eta: 2 days, 1:29:57 time: 0.4260 data_time: 0.0189 memory: 17087 grad_norm: 4.9399 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6556 loss: 1.6556 2022/08/03 17:01:42 - mmengine - INFO - Epoch(train) [35][1140/1879] lr: 1.0000e-02 eta: 2 days, 1:29:48 time: 0.4264 data_time: 0.0146 memory: 17087 grad_norm: 4.8912 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8023 loss: 1.8023 2022/08/03 17:01:51 - mmengine - INFO - Epoch(train) [35][1160/1879] lr: 1.0000e-02 eta: 2 days, 1:29:39 time: 0.4280 data_time: 0.0166 memory: 17087 grad_norm: 4.8930 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7526 loss: 1.7526 2022/08/03 17:01:59 - mmengine - INFO - Epoch(train) [35][1180/1879] lr: 1.0000e-02 eta: 2 days, 1:29:32 time: 0.4407 data_time: 0.0150 memory: 17087 grad_norm: 4.6332 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6540 loss: 1.6540 2022/08/03 17:02:08 - mmengine - INFO - Epoch(train) [35][1200/1879] lr: 1.0000e-02 eta: 2 days, 1:29:23 time: 0.4244 data_time: 0.0158 memory: 17087 grad_norm: 4.7894 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6424 loss: 1.6424 2022/08/03 17:02:16 - mmengine - INFO - Epoch(train) [35][1220/1879] lr: 1.0000e-02 eta: 2 days, 1:29:14 time: 0.4255 data_time: 0.0147 memory: 17087 grad_norm: 4.8493 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7077 loss: 1.7077 2022/08/03 17:02:25 - mmengine - INFO - Epoch(train) [35][1240/1879] lr: 1.0000e-02 eta: 2 days, 1:29:06 time: 0.4292 data_time: 0.0159 memory: 17087 grad_norm: 4.8794 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7192 loss: 1.7192 2022/08/03 17:02:34 - mmengine - INFO - Epoch(train) [35][1260/1879] lr: 1.0000e-02 eta: 2 days, 1:29:00 time: 0.4476 data_time: 0.0155 memory: 17087 grad_norm: 4.8995 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5651 loss: 1.5651 2022/08/03 17:02:43 - mmengine - INFO - Epoch(train) [35][1280/1879] lr: 1.0000e-02 eta: 2 days, 1:28:51 time: 0.4307 data_time: 0.0163 memory: 17087 grad_norm: 4.7697 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6732 loss: 1.6732 2022/08/03 17:02:51 - mmengine - INFO - Epoch(train) [35][1300/1879] lr: 1.0000e-02 eta: 2 days, 1:28:45 time: 0.4443 data_time: 0.0158 memory: 17087 grad_norm: 4.8131 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5442 loss: 1.5442 2022/08/03 17:03:00 - mmengine - INFO - Epoch(train) [35][1320/1879] lr: 1.0000e-02 eta: 2 days, 1:28:37 time: 0.4323 data_time: 0.0197 memory: 17087 grad_norm: 4.9324 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6283 loss: 1.6283 2022/08/03 17:03:09 - mmengine - INFO - Epoch(train) [35][1340/1879] lr: 1.0000e-02 eta: 2 days, 1:28:28 time: 0.4255 data_time: 0.0162 memory: 17087 grad_norm: 4.8742 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8080 loss: 1.8080 2022/08/03 17:03:17 - mmengine - INFO - Epoch(train) [35][1360/1879] lr: 1.0000e-02 eta: 2 days, 1:28:19 time: 0.4239 data_time: 0.0148 memory: 17087 grad_norm: 4.7222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7059 loss: 1.7059 2022/08/03 17:03:26 - mmengine - INFO - Epoch(train) [35][1380/1879] lr: 1.0000e-02 eta: 2 days, 1:28:10 time: 0.4281 data_time: 0.0157 memory: 17087 grad_norm: 4.9156 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7881 loss: 1.7881 2022/08/03 17:03:34 - mmengine - INFO - Epoch(train) [35][1400/1879] lr: 1.0000e-02 eta: 2 days, 1:28:01 time: 0.4262 data_time: 0.0178 memory: 17087 grad_norm: 4.9079 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6678 loss: 1.6678 2022/08/03 17:03:43 - mmengine - INFO - Epoch(train) [35][1420/1879] lr: 1.0000e-02 eta: 2 days, 1:27:52 time: 0.4245 data_time: 0.0148 memory: 17087 grad_norm: 4.7486 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6219 loss: 1.6219 2022/08/03 17:03:51 - mmengine - INFO - Epoch(train) [35][1440/1879] lr: 1.0000e-02 eta: 2 days, 1:27:43 time: 0.4262 data_time: 0.0153 memory: 17087 grad_norm: 4.7246 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7949 loss: 1.7949 2022/08/03 17:04:00 - mmengine - INFO - Epoch(train) [35][1460/1879] lr: 1.0000e-02 eta: 2 days, 1:27:35 time: 0.4283 data_time: 0.0146 memory: 17087 grad_norm: 4.7928 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6510 loss: 1.6510 2022/08/03 17:04:08 - mmengine - INFO - Epoch(train) [35][1480/1879] lr: 1.0000e-02 eta: 2 days, 1:27:26 time: 0.4239 data_time: 0.0147 memory: 17087 grad_norm: 4.8984 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6145 loss: 1.6145 2022/08/03 17:04:17 - mmengine - INFO - Epoch(train) [35][1500/1879] lr: 1.0000e-02 eta: 2 days, 1:27:17 time: 0.4255 data_time: 0.0152 memory: 17087 grad_norm: 4.9434 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6755 loss: 1.6755 2022/08/03 17:04:25 - mmengine - INFO - Epoch(train) [35][1520/1879] lr: 1.0000e-02 eta: 2 days, 1:27:08 time: 0.4251 data_time: 0.0156 memory: 17087 grad_norm: 4.7624 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8580 loss: 1.8580 2022/08/03 17:04:34 - mmengine - INFO - Epoch(train) [35][1540/1879] lr: 1.0000e-02 eta: 2 days, 1:26:59 time: 0.4262 data_time: 0.0152 memory: 17087 grad_norm: 4.7184 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7374 loss: 1.7374 2022/08/03 17:04:42 - mmengine - INFO - Epoch(train) [35][1560/1879] lr: 1.0000e-02 eta: 2 days, 1:26:50 time: 0.4273 data_time: 0.0156 memory: 17087 grad_norm: 4.8221 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6205 loss: 1.6205 2022/08/03 17:04:51 - mmengine - INFO - Epoch(train) [35][1580/1879] lr: 1.0000e-02 eta: 2 days, 1:26:41 time: 0.4269 data_time: 0.0167 memory: 17087 grad_norm: 4.8782 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8687 loss: 1.8687 2022/08/03 17:05:00 - mmengine - INFO - Epoch(train) [35][1600/1879] lr: 1.0000e-02 eta: 2 days, 1:26:33 time: 0.4287 data_time: 0.0156 memory: 17087 grad_norm: 4.8191 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8193 loss: 1.8193 2022/08/03 17:05:08 - mmengine - INFO - Epoch(train) [35][1620/1879] lr: 1.0000e-02 eta: 2 days, 1:26:24 time: 0.4235 data_time: 0.0150 memory: 17087 grad_norm: 4.8027 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6877 loss: 1.6877 2022/08/03 17:05:16 - mmengine - INFO - Epoch(train) [35][1640/1879] lr: 1.0000e-02 eta: 2 days, 1:26:15 time: 0.4250 data_time: 0.0148 memory: 17087 grad_norm: 4.9196 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7775 loss: 1.7775 2022/08/03 17:05:25 - mmengine - INFO - Epoch(train) [35][1660/1879] lr: 1.0000e-02 eta: 2 days, 1:26:07 time: 0.4372 data_time: 0.0155 memory: 17087 grad_norm: 4.9006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7535 loss: 1.7535 2022/08/03 17:05:34 - mmengine - INFO - Epoch(train) [35][1680/1879] lr: 1.0000e-02 eta: 2 days, 1:25:59 time: 0.4340 data_time: 0.0224 memory: 17087 grad_norm: 4.8820 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7391 loss: 1.7391 2022/08/03 17:05:43 - mmengine - INFO - Epoch(train) [35][1700/1879] lr: 1.0000e-02 eta: 2 days, 1:25:51 time: 0.4296 data_time: 0.0151 memory: 17087 grad_norm: 4.7950 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6118 loss: 1.6118 2022/08/03 17:05:51 - mmengine - INFO - Epoch(train) [35][1720/1879] lr: 1.0000e-02 eta: 2 days, 1:25:44 time: 0.4375 data_time: 0.0190 memory: 17087 grad_norm: 4.8104 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7312 loss: 1.7312 2022/08/03 17:06:00 - mmengine - INFO - Epoch(train) [35][1740/1879] lr: 1.0000e-02 eta: 2 days, 1:25:35 time: 0.4242 data_time: 0.0148 memory: 17087 grad_norm: 4.8072 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7751 loss: 1.7751 2022/08/03 17:06:08 - mmengine - INFO - Epoch(train) [35][1760/1879] lr: 1.0000e-02 eta: 2 days, 1:25:26 time: 0.4269 data_time: 0.0156 memory: 17087 grad_norm: 4.9696 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7718 loss: 1.7718 2022/08/03 17:06:17 - mmengine - INFO - Epoch(train) [35][1780/1879] lr: 1.0000e-02 eta: 2 days, 1:25:17 time: 0.4264 data_time: 0.0150 memory: 17087 grad_norm: 4.8849 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6021 loss: 1.6021 2022/08/03 17:06:25 - mmengine - INFO - Epoch(train) [35][1800/1879] lr: 1.0000e-02 eta: 2 days, 1:25:08 time: 0.4283 data_time: 0.0157 memory: 17087 grad_norm: 4.7100 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5573 loss: 1.5573 2022/08/03 17:06:34 - mmengine - INFO - Epoch(train) [35][1820/1879] lr: 1.0000e-02 eta: 2 days, 1:25:01 time: 0.4398 data_time: 0.0145 memory: 17087 grad_norm: 4.8586 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9390 loss: 1.9390 2022/08/03 17:06:43 - mmengine - INFO - Epoch(train) [35][1840/1879] lr: 1.0000e-02 eta: 2 days, 1:24:53 time: 0.4280 data_time: 0.0150 memory: 17087 grad_norm: 4.8465 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6842 loss: 1.6842 2022/08/03 17:06:51 - mmengine - INFO - Epoch(train) [35][1860/1879] lr: 1.0000e-02 eta: 2 days, 1:24:44 time: 0.4264 data_time: 0.0154 memory: 17087 grad_norm: 4.7644 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7858 loss: 1.7858 2022/08/03 17:06:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:06:59 - mmengine - INFO - Epoch(train) [35][1879/1879] lr: 1.0000e-02 eta: 2 days, 1:24:44 time: 0.4076 data_time: 0.0136 memory: 17087 grad_norm: 4.9651 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.6320 loss: 1.6320 2022/08/03 17:07:07 - mmengine - INFO - Epoch(val) [35][20/155] eta: 0:00:51 time: 0.3836 data_time: 0.2146 memory: 2821 2022/08/03 17:07:12 - mmengine - INFO - Epoch(val) [35][40/155] eta: 0:00:27 time: 0.2401 data_time: 0.0720 memory: 2821 2022/08/03 17:07:18 - mmengine - INFO - Epoch(val) [35][60/155] eta: 0:00:29 time: 0.3130 data_time: 0.1437 memory: 2821 2022/08/03 17:07:23 - mmengine - INFO - Epoch(val) [35][80/155] eta: 0:00:21 time: 0.2813 data_time: 0.1153 memory: 2821 2022/08/03 17:07:30 - mmengine - INFO - Epoch(val) [35][100/155] eta: 0:00:17 time: 0.3123 data_time: 0.1444 memory: 2821 2022/08/03 17:07:36 - mmengine - INFO - Epoch(val) [35][120/155] eta: 0:00:10 time: 0.3108 data_time: 0.1444 memory: 2821 2022/08/03 17:07:42 - mmengine - INFO - Epoch(val) [35][140/155] eta: 0:00:04 time: 0.2802 data_time: 0.1091 memory: 2821 2022/08/03 17:07:46 - mmengine - INFO - Epoch(val) [35][155/155] acc/top1: 0.6491 acc/top5: 0.8601 acc/mean1: 0.6490 2022/08/03 17:07:46 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_31.pth is removed 2022/08/03 17:07:49 - mmengine - INFO - The best checkpoint with 0.6491 acc/top1 at 36 epoch is saved to best_acc/top1_epoch_36.pth. 2022/08/03 17:07:59 - mmengine - INFO - Epoch(train) [36][20/1879] lr: 1.0000e-02 eta: 2 days, 1:23:47 time: 0.5148 data_time: 0.1042 memory: 17087 grad_norm: 4.6767 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4932 loss: 1.4932 2022/08/03 17:08:08 - mmengine - INFO - Epoch(train) [36][40/1879] lr: 1.0000e-02 eta: 2 days, 1:23:38 time: 0.4272 data_time: 0.0178 memory: 17087 grad_norm: 4.7417 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5934 loss: 1.5934 2022/08/03 17:08:16 - mmengine - INFO - Epoch(train) [36][60/1879] lr: 1.0000e-02 eta: 2 days, 1:23:29 time: 0.4258 data_time: 0.0139 memory: 17087 grad_norm: 4.7968 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7507 loss: 1.7507 2022/08/03 17:08:25 - mmengine - INFO - Epoch(train) [36][80/1879] lr: 1.0000e-02 eta: 2 days, 1:23:21 time: 0.4292 data_time: 0.0175 memory: 17087 grad_norm: 4.7713 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5931 loss: 1.5931 2022/08/03 17:08:33 - mmengine - INFO - Epoch(train) [36][100/1879] lr: 1.0000e-02 eta: 2 days, 1:23:12 time: 0.4244 data_time: 0.0153 memory: 17087 grad_norm: 4.7842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5138 loss: 1.5138 2022/08/03 17:08:42 - mmengine - INFO - Epoch(train) [36][120/1879] lr: 1.0000e-02 eta: 2 days, 1:23:03 time: 0.4263 data_time: 0.0153 memory: 17087 grad_norm: 4.8649 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4223 loss: 1.4223 2022/08/03 17:08:50 - mmengine - INFO - Epoch(train) [36][140/1879] lr: 1.0000e-02 eta: 2 days, 1:22:54 time: 0.4237 data_time: 0.0146 memory: 17087 grad_norm: 4.9296 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6972 loss: 1.6972 2022/08/03 17:08:59 - mmengine - INFO - Epoch(train) [36][160/1879] lr: 1.0000e-02 eta: 2 days, 1:22:45 time: 0.4249 data_time: 0.0151 memory: 17087 grad_norm: 4.8363 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6898 loss: 1.6898 2022/08/03 17:09:07 - mmengine - INFO - Epoch(train) [36][180/1879] lr: 1.0000e-02 eta: 2 days, 1:22:36 time: 0.4256 data_time: 0.0159 memory: 17087 grad_norm: 4.7943 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7684 loss: 1.7684 2022/08/03 17:09:16 - mmengine - INFO - Epoch(train) [36][200/1879] lr: 1.0000e-02 eta: 2 days, 1:22:27 time: 0.4248 data_time: 0.0153 memory: 17087 grad_norm: 4.8635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8158 loss: 1.8158 2022/08/03 17:09:25 - mmengine - INFO - Epoch(train) [36][220/1879] lr: 1.0000e-02 eta: 2 days, 1:22:21 time: 0.4483 data_time: 0.0162 memory: 17087 grad_norm: 4.7939 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8120 loss: 1.8120 2022/08/03 17:09:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:09:33 - mmengine - INFO - Epoch(train) [36][240/1879] lr: 1.0000e-02 eta: 2 days, 1:22:12 time: 0.4259 data_time: 0.0155 memory: 17087 grad_norm: 4.7695 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7196 loss: 1.7196 2022/08/03 17:09:42 - mmengine - INFO - Epoch(train) [36][260/1879] lr: 1.0000e-02 eta: 2 days, 1:22:06 time: 0.4454 data_time: 0.0150 memory: 17087 grad_norm: 4.8544 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5776 loss: 1.5776 2022/08/03 17:09:51 - mmengine - INFO - Epoch(train) [36][280/1879] lr: 1.0000e-02 eta: 2 days, 1:21:56 time: 0.4243 data_time: 0.0146 memory: 17087 grad_norm: 4.8888 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7886 loss: 1.7886 2022/08/03 17:09:59 - mmengine - INFO - Epoch(train) [36][300/1879] lr: 1.0000e-02 eta: 2 days, 1:21:47 time: 0.4219 data_time: 0.0136 memory: 17087 grad_norm: 4.7269 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6429 loss: 1.6429 2022/08/03 17:10:08 - mmengine - INFO - Epoch(train) [36][320/1879] lr: 1.0000e-02 eta: 2 days, 1:21:39 time: 0.4304 data_time: 0.0179 memory: 17087 grad_norm: 4.8566 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6136 loss: 1.6136 2022/08/03 17:10:16 - mmengine - INFO - Epoch(train) [36][340/1879] lr: 1.0000e-02 eta: 2 days, 1:21:30 time: 0.4251 data_time: 0.0162 memory: 17087 grad_norm: 4.7976 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6994 loss: 1.6994 2022/08/03 17:10:25 - mmengine - INFO - Epoch(train) [36][360/1879] lr: 1.0000e-02 eta: 2 days, 1:21:23 time: 0.4389 data_time: 0.0156 memory: 17087 grad_norm: 4.8540 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5972 loss: 1.5972 2022/08/03 17:10:34 - mmengine - INFO - Epoch(train) [36][380/1879] lr: 1.0000e-02 eta: 2 days, 1:21:15 time: 0.4333 data_time: 0.0224 memory: 17087 grad_norm: 4.9378 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7939 loss: 1.7939 2022/08/03 17:10:42 - mmengine - INFO - Epoch(train) [36][400/1879] lr: 1.0000e-02 eta: 2 days, 1:21:07 time: 0.4315 data_time: 0.0170 memory: 17087 grad_norm: 4.7042 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6765 loss: 1.6765 2022/08/03 17:10:51 - mmengine - INFO - Epoch(train) [36][420/1879] lr: 1.0000e-02 eta: 2 days, 1:20:57 time: 0.4238 data_time: 0.0157 memory: 17087 grad_norm: 4.9702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5328 loss: 1.5328 2022/08/03 17:10:59 - mmengine - INFO - Epoch(train) [36][440/1879] lr: 1.0000e-02 eta: 2 days, 1:20:49 time: 0.4262 data_time: 0.0150 memory: 17087 grad_norm: 4.7115 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5864 loss: 1.5864 2022/08/03 17:11:08 - mmengine - INFO - Epoch(train) [36][460/1879] lr: 1.0000e-02 eta: 2 days, 1:20:40 time: 0.4257 data_time: 0.0131 memory: 17087 grad_norm: 4.9058 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6807 loss: 1.6807 2022/08/03 17:11:17 - mmengine - INFO - Epoch(train) [36][480/1879] lr: 1.0000e-02 eta: 2 days, 1:20:32 time: 0.4392 data_time: 0.0158 memory: 17087 grad_norm: 4.8963 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4941 loss: 1.4941 2022/08/03 17:11:25 - mmengine - INFO - Epoch(train) [36][500/1879] lr: 1.0000e-02 eta: 2 days, 1:20:24 time: 0.4282 data_time: 0.0148 memory: 17087 grad_norm: 4.9415 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4480 loss: 1.4480 2022/08/03 17:11:34 - mmengine - INFO - Epoch(train) [36][520/1879] lr: 1.0000e-02 eta: 2 days, 1:20:15 time: 0.4259 data_time: 0.0157 memory: 17087 grad_norm: 4.8898 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5240 loss: 1.5240 2022/08/03 17:11:42 - mmengine - INFO - Epoch(train) [36][540/1879] lr: 1.0000e-02 eta: 2 days, 1:20:07 time: 0.4287 data_time: 0.0156 memory: 17087 grad_norm: 4.7853 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6312 loss: 1.6312 2022/08/03 17:11:51 - mmengine - INFO - Epoch(train) [36][560/1879] lr: 1.0000e-02 eta: 2 days, 1:19:58 time: 0.4300 data_time: 0.0154 memory: 17087 grad_norm: 4.9075 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7575 loss: 1.7575 2022/08/03 17:11:59 - mmengine - INFO - Epoch(train) [36][580/1879] lr: 1.0000e-02 eta: 2 days, 1:19:49 time: 0.4267 data_time: 0.0166 memory: 17087 grad_norm: 4.9083 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7626 loss: 1.7626 2022/08/03 17:12:08 - mmengine - INFO - Epoch(train) [36][600/1879] lr: 1.0000e-02 eta: 2 days, 1:19:40 time: 0.4245 data_time: 0.0161 memory: 17087 grad_norm: 4.9659 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.8502 loss: 1.8502 2022/08/03 17:12:17 - mmengine - INFO - Epoch(train) [36][620/1879] lr: 1.0000e-02 eta: 2 days, 1:19:33 time: 0.4376 data_time: 0.0153 memory: 17087 grad_norm: 4.7907 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6204 loss: 1.6204 2022/08/03 17:12:25 - mmengine - INFO - Epoch(train) [36][640/1879] lr: 1.0000e-02 eta: 2 days, 1:19:25 time: 0.4330 data_time: 0.0157 memory: 17087 grad_norm: 4.7464 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4732 loss: 1.4732 2022/08/03 17:12:34 - mmengine - INFO - Epoch(train) [36][660/1879] lr: 1.0000e-02 eta: 2 days, 1:19:16 time: 0.4233 data_time: 0.0153 memory: 17087 grad_norm: 4.7733 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5310 loss: 1.5310 2022/08/03 17:12:42 - mmengine - INFO - Epoch(train) [36][680/1879] lr: 1.0000e-02 eta: 2 days, 1:19:07 time: 0.4254 data_time: 0.0154 memory: 17087 grad_norm: 4.9023 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6142 loss: 1.6142 2022/08/03 17:12:51 - mmengine - INFO - Epoch(train) [36][700/1879] lr: 1.0000e-02 eta: 2 days, 1:19:01 time: 0.4468 data_time: 0.0151 memory: 17087 grad_norm: 4.8543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7736 loss: 1.7736 2022/08/03 17:13:00 - mmengine - INFO - Epoch(train) [36][720/1879] lr: 1.0000e-02 eta: 2 days, 1:18:53 time: 0.4366 data_time: 0.0160 memory: 17087 grad_norm: 4.9246 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6890 loss: 1.6890 2022/08/03 17:13:09 - mmengine - INFO - Epoch(train) [36][740/1879] lr: 1.0000e-02 eta: 2 days, 1:18:45 time: 0.4290 data_time: 0.0167 memory: 17087 grad_norm: 4.9858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7898 loss: 1.7898 2022/08/03 17:13:17 - mmengine - INFO - Epoch(train) [36][760/1879] lr: 1.0000e-02 eta: 2 days, 1:18:36 time: 0.4296 data_time: 0.0163 memory: 17087 grad_norm: 4.7907 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5246 loss: 1.5246 2022/08/03 17:13:26 - mmengine - INFO - Epoch(train) [36][780/1879] lr: 1.0000e-02 eta: 2 days, 1:18:28 time: 0.4342 data_time: 0.0170 memory: 17087 grad_norm: 4.7428 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7266 loss: 1.7266 2022/08/03 17:13:35 - mmengine - INFO - Epoch(train) [36][800/1879] lr: 1.0000e-02 eta: 2 days, 1:18:20 time: 0.4328 data_time: 0.0173 memory: 17087 grad_norm: 4.9365 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7242 loss: 1.7242 2022/08/03 17:13:43 - mmengine - INFO - Epoch(train) [36][820/1879] lr: 1.0000e-02 eta: 2 days, 1:18:12 time: 0.4315 data_time: 0.0157 memory: 17087 grad_norm: 4.9858 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6616 loss: 1.6616 2022/08/03 17:13:52 - mmengine - INFO - Epoch(train) [36][840/1879] lr: 1.0000e-02 eta: 2 days, 1:18:05 time: 0.4391 data_time: 0.0170 memory: 17087 grad_norm: 4.8936 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7263 loss: 1.7263 2022/08/03 17:14:01 - mmengine - INFO - Epoch(train) [36][860/1879] lr: 1.0000e-02 eta: 2 days, 1:17:57 time: 0.4298 data_time: 0.0144 memory: 17087 grad_norm: 4.7704 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8629 loss: 1.8629 2022/08/03 17:14:09 - mmengine - INFO - Epoch(train) [36][880/1879] lr: 1.0000e-02 eta: 2 days, 1:17:48 time: 0.4239 data_time: 0.0153 memory: 17087 grad_norm: 5.0090 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6911 loss: 1.6911 2022/08/03 17:14:18 - mmengine - INFO - Epoch(train) [36][900/1879] lr: 1.0000e-02 eta: 2 days, 1:17:39 time: 0.4256 data_time: 0.0151 memory: 17087 grad_norm: 4.8488 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6849 loss: 1.6849 2022/08/03 17:14:26 - mmengine - INFO - Epoch(train) [36][920/1879] lr: 1.0000e-02 eta: 2 days, 1:17:30 time: 0.4270 data_time: 0.0161 memory: 17087 grad_norm: 4.7542 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7496 loss: 1.7496 2022/08/03 17:14:35 - mmengine - INFO - Epoch(train) [36][940/1879] lr: 1.0000e-02 eta: 2 days, 1:17:21 time: 0.4265 data_time: 0.0158 memory: 17087 grad_norm: 4.7975 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6824 loss: 1.6824 2022/08/03 17:14:43 - mmengine - INFO - Epoch(train) [36][960/1879] lr: 1.0000e-02 eta: 2 days, 1:17:12 time: 0.4261 data_time: 0.0154 memory: 17087 grad_norm: 4.9213 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7224 loss: 1.7224 2022/08/03 17:14:52 - mmengine - INFO - Epoch(train) [36][980/1879] lr: 1.0000e-02 eta: 2 days, 1:17:03 time: 0.4250 data_time: 0.0152 memory: 17087 grad_norm: 4.8753 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8274 loss: 1.8274 2022/08/03 17:15:00 - mmengine - INFO - Epoch(train) [36][1000/1879] lr: 1.0000e-02 eta: 2 days, 1:16:56 time: 0.4351 data_time: 0.0161 memory: 17087 grad_norm: 4.9367 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.9890 loss: 1.9890 2022/08/03 17:15:09 - mmengine - INFO - Epoch(train) [36][1020/1879] lr: 1.0000e-02 eta: 2 days, 1:16:47 time: 0.4247 data_time: 0.0166 memory: 17087 grad_norm: 4.7341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7087 loss: 1.7087 2022/08/03 17:15:18 - mmengine - INFO - Epoch(train) [36][1040/1879] lr: 1.0000e-02 eta: 2 days, 1:16:40 time: 0.4402 data_time: 0.0151 memory: 17087 grad_norm: 4.9279 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 2.0078 loss: 2.0078 2022/08/03 17:15:26 - mmengine - INFO - Epoch(train) [36][1060/1879] lr: 1.0000e-02 eta: 2 days, 1:16:31 time: 0.4300 data_time: 0.0161 memory: 17087 grad_norm: 4.8522 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6136 loss: 1.6136 2022/08/03 17:15:35 - mmengine - INFO - Epoch(train) [36][1080/1879] lr: 1.0000e-02 eta: 2 days, 1:16:24 time: 0.4393 data_time: 0.0176 memory: 17087 grad_norm: 4.7777 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9993 loss: 1.9993 2022/08/03 17:15:44 - mmengine - INFO - Epoch(train) [36][1100/1879] lr: 1.0000e-02 eta: 2 days, 1:16:17 time: 0.4406 data_time: 0.0169 memory: 17087 grad_norm: 4.8825 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6036 loss: 1.6036 2022/08/03 17:15:53 - mmengine - INFO - Epoch(train) [36][1120/1879] lr: 1.0000e-02 eta: 2 days, 1:16:10 time: 0.4393 data_time: 0.0157 memory: 17087 grad_norm: 4.6635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5749 loss: 1.5749 2022/08/03 17:16:01 - mmengine - INFO - Epoch(train) [36][1140/1879] lr: 1.0000e-02 eta: 2 days, 1:16:01 time: 0.4302 data_time: 0.0194 memory: 17087 grad_norm: 4.9307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7051 loss: 1.7051 2022/08/03 17:16:10 - mmengine - INFO - Epoch(train) [36][1160/1879] lr: 1.0000e-02 eta: 2 days, 1:15:53 time: 0.4257 data_time: 0.0161 memory: 17087 grad_norm: 4.9574 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7422 loss: 1.7422 2022/08/03 17:16:18 - mmengine - INFO - Epoch(train) [36][1180/1879] lr: 1.0000e-02 eta: 2 days, 1:15:43 time: 0.4225 data_time: 0.0140 memory: 17087 grad_norm: 4.9474 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5563 loss: 1.5563 2022/08/03 17:16:27 - mmengine - INFO - Epoch(train) [36][1200/1879] lr: 1.0000e-02 eta: 2 days, 1:15:36 time: 0.4386 data_time: 0.0168 memory: 17087 grad_norm: 4.8455 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5278 loss: 1.5278 2022/08/03 17:16:36 - mmengine - INFO - Epoch(train) [36][1220/1879] lr: 1.0000e-02 eta: 2 days, 1:15:27 time: 0.4237 data_time: 0.0143 memory: 17087 grad_norm: 4.8293 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8012 loss: 1.8012 2022/08/03 17:16:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:16:44 - mmengine - INFO - Epoch(train) [36][1240/1879] lr: 1.0000e-02 eta: 2 days, 1:15:18 time: 0.4286 data_time: 0.0168 memory: 17087 grad_norm: 4.8613 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7352 loss: 1.7352 2022/08/03 17:16:53 - mmengine - INFO - Epoch(train) [36][1260/1879] lr: 1.0000e-02 eta: 2 days, 1:15:09 time: 0.4240 data_time: 0.0132 memory: 17087 grad_norm: 4.7873 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6784 loss: 1.6784 2022/08/03 17:17:01 - mmengine - INFO - Epoch(train) [36][1280/1879] lr: 1.0000e-02 eta: 2 days, 1:15:01 time: 0.4279 data_time: 0.0167 memory: 17087 grad_norm: 5.0317 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6393 loss: 1.6393 2022/08/03 17:17:10 - mmengine - INFO - Epoch(train) [36][1300/1879] lr: 1.0000e-02 eta: 2 days, 1:14:52 time: 0.4246 data_time: 0.0147 memory: 17087 grad_norm: 4.8516 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7661 loss: 1.7661 2022/08/03 17:17:18 - mmengine - INFO - Epoch(train) [36][1320/1879] lr: 1.0000e-02 eta: 2 days, 1:14:43 time: 0.4270 data_time: 0.0190 memory: 17087 grad_norm: 4.8307 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7238 loss: 1.7238 2022/08/03 17:17:27 - mmengine - INFO - Epoch(train) [36][1340/1879] lr: 1.0000e-02 eta: 2 days, 1:14:37 time: 0.4469 data_time: 0.0139 memory: 17087 grad_norm: 4.7635 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6581 loss: 1.6581 2022/08/03 17:17:36 - mmengine - INFO - Epoch(train) [36][1360/1879] lr: 1.0000e-02 eta: 2 days, 1:14:28 time: 0.4309 data_time: 0.0212 memory: 17087 grad_norm: 4.8546 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6845 loss: 1.6845 2022/08/03 17:17:44 - mmengine - INFO - Epoch(train) [36][1380/1879] lr: 1.0000e-02 eta: 2 days, 1:14:20 time: 0.4321 data_time: 0.0159 memory: 17087 grad_norm: 4.9812 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.9868 loss: 1.9868 2022/08/03 17:17:53 - mmengine - INFO - Epoch(train) [36][1400/1879] lr: 1.0000e-02 eta: 2 days, 1:14:11 time: 0.4253 data_time: 0.0175 memory: 17087 grad_norm: 4.8432 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.9261 loss: 1.9261 2022/08/03 17:18:01 - mmengine - INFO - Epoch(train) [36][1420/1879] lr: 1.0000e-02 eta: 2 days, 1:14:03 time: 0.4274 data_time: 0.0188 memory: 17087 grad_norm: 4.8319 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7364 loss: 1.7364 2022/08/03 17:18:10 - mmengine - INFO - Epoch(train) [36][1440/1879] lr: 1.0000e-02 eta: 2 days, 1:13:54 time: 0.4263 data_time: 0.0151 memory: 17087 grad_norm: 4.7795 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.5538 loss: 1.5538 2022/08/03 17:18:18 - mmengine - INFO - Epoch(train) [36][1460/1879] lr: 1.0000e-02 eta: 2 days, 1:13:45 time: 0.4235 data_time: 0.0130 memory: 17087 grad_norm: 4.8032 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6563 loss: 1.6563 2022/08/03 17:18:27 - mmengine - INFO - Epoch(train) [36][1480/1879] lr: 1.0000e-02 eta: 2 days, 1:13:36 time: 0.4277 data_time: 0.0167 memory: 17087 grad_norm: 4.8879 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7039 loss: 1.7039 2022/08/03 17:18:36 - mmengine - INFO - Epoch(train) [36][1500/1879] lr: 1.0000e-02 eta: 2 days, 1:13:28 time: 0.4309 data_time: 0.0152 memory: 17087 grad_norm: 4.8811 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4326 loss: 1.4326 2022/08/03 17:18:44 - mmengine - INFO - Epoch(train) [36][1520/1879] lr: 1.0000e-02 eta: 2 days, 1:13:20 time: 0.4319 data_time: 0.0179 memory: 17087 grad_norm: 4.9378 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5382 loss: 1.5382 2022/08/03 17:18:53 - mmengine - INFO - Epoch(train) [36][1540/1879] lr: 1.0000e-02 eta: 2 days, 1:13:11 time: 0.4305 data_time: 0.0151 memory: 17087 grad_norm: 4.8445 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6261 loss: 1.6261 2022/08/03 17:19:02 - mmengine - INFO - Epoch(train) [36][1560/1879] lr: 1.0000e-02 eta: 2 days, 1:13:05 time: 0.4496 data_time: 0.0157 memory: 17087 grad_norm: 4.9503 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5763 loss: 1.5763 2022/08/03 17:19:11 - mmengine - INFO - Epoch(train) [36][1580/1879] lr: 1.0000e-02 eta: 2 days, 1:12:57 time: 0.4320 data_time: 0.0148 memory: 17087 grad_norm: 4.7918 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5187 loss: 1.5187 2022/08/03 17:19:19 - mmengine - INFO - Epoch(train) [36][1600/1879] lr: 1.0000e-02 eta: 2 days, 1:12:49 time: 0.4282 data_time: 0.0177 memory: 17087 grad_norm: 4.8237 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6719 loss: 1.6719 2022/08/03 17:19:28 - mmengine - INFO - Epoch(train) [36][1620/1879] lr: 1.0000e-02 eta: 2 days, 1:12:40 time: 0.4286 data_time: 0.0152 memory: 17087 grad_norm: 4.8108 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.9564 loss: 1.9564 2022/08/03 17:19:36 - mmengine - INFO - Epoch(train) [36][1640/1879] lr: 1.0000e-02 eta: 2 days, 1:12:31 time: 0.4269 data_time: 0.0151 memory: 17087 grad_norm: 4.7226 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7495 loss: 1.7495 2022/08/03 17:19:45 - mmengine - INFO - Epoch(train) [36][1660/1879] lr: 1.0000e-02 eta: 2 days, 1:12:23 time: 0.4302 data_time: 0.0147 memory: 17087 grad_norm: 4.8337 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7773 loss: 1.7773 2022/08/03 17:19:53 - mmengine - INFO - Epoch(train) [36][1680/1879] lr: 1.0000e-02 eta: 2 days, 1:12:14 time: 0.4263 data_time: 0.0167 memory: 17087 grad_norm: 4.7696 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7576 loss: 1.7576 2022/08/03 17:20:02 - mmengine - INFO - Epoch(train) [36][1700/1879] lr: 1.0000e-02 eta: 2 days, 1:12:09 time: 0.4520 data_time: 0.0158 memory: 17087 grad_norm: 5.0219 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7186 loss: 1.7186 2022/08/03 17:20:11 - mmengine - INFO - Epoch(train) [36][1720/1879] lr: 1.0000e-02 eta: 2 days, 1:12:00 time: 0.4289 data_time: 0.0163 memory: 17087 grad_norm: 4.9005 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6667 loss: 1.6667 2022/08/03 17:20:20 - mmengine - INFO - Epoch(train) [36][1740/1879] lr: 1.0000e-02 eta: 2 days, 1:11:51 time: 0.4243 data_time: 0.0151 memory: 17087 grad_norm: 4.8099 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7352 loss: 1.7352 2022/08/03 17:20:28 - mmengine - INFO - Epoch(train) [36][1760/1879] lr: 1.0000e-02 eta: 2 days, 1:11:42 time: 0.4246 data_time: 0.0165 memory: 17087 grad_norm: 4.7967 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7827 loss: 1.7827 2022/08/03 17:20:37 - mmengine - INFO - Epoch(train) [36][1780/1879] lr: 1.0000e-02 eta: 2 days, 1:11:34 time: 0.4292 data_time: 0.0152 memory: 17087 grad_norm: 4.8396 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7659 loss: 1.7659 2022/08/03 17:20:45 - mmengine - INFO - Epoch(train) [36][1800/1879] lr: 1.0000e-02 eta: 2 days, 1:11:25 time: 0.4296 data_time: 0.0206 memory: 17087 grad_norm: 4.9331 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6191 loss: 1.6191 2022/08/03 17:20:54 - mmengine - INFO - Epoch(train) [36][1820/1879] lr: 1.0000e-02 eta: 2 days, 1:11:17 time: 0.4286 data_time: 0.0165 memory: 17087 grad_norm: 4.7362 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6704 loss: 1.6704 2022/08/03 17:21:03 - mmengine - INFO - Epoch(train) [36][1840/1879] lr: 1.0000e-02 eta: 2 days, 1:11:09 time: 0.4391 data_time: 0.0197 memory: 17087 grad_norm: 4.7875 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8592 loss: 1.8592 2022/08/03 17:21:11 - mmengine - INFO - Epoch(train) [36][1860/1879] lr: 1.0000e-02 eta: 2 days, 1:11:00 time: 0.4234 data_time: 0.0149 memory: 17087 grad_norm: 4.7450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8047 loss: 1.8047 2022/08/03 17:21:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:21:19 - mmengine - INFO - Epoch(train) [36][1879/1879] lr: 1.0000e-02 eta: 2 days, 1:11:00 time: 0.4093 data_time: 0.0204 memory: 17087 grad_norm: 4.9696 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.6241 loss: 1.6241 2022/08/03 17:21:19 - mmengine - INFO - Saving checkpoint at 36 epochs 2022/08/03 17:21:32 - mmengine - INFO - Epoch(train) [37][20/1879] lr: 1.0000e-02 eta: 2 days, 1:10:03 time: 0.5019 data_time: 0.0886 memory: 17087 grad_norm: 4.7374 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5863 loss: 1.5863 2022/08/03 17:21:41 - mmengine - INFO - Epoch(train) [37][40/1879] lr: 1.0000e-02 eta: 2 days, 1:09:55 time: 0.4317 data_time: 0.0183 memory: 17087 grad_norm: 4.8194 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6689 loss: 1.6689 2022/08/03 17:21:49 - mmengine - INFO - Epoch(train) [37][60/1879] lr: 1.0000e-02 eta: 2 days, 1:09:45 time: 0.4229 data_time: 0.0148 memory: 17087 grad_norm: 4.8253 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7653 loss: 1.7653 2022/08/03 17:21:58 - mmengine - INFO - Epoch(train) [37][80/1879] lr: 1.0000e-02 eta: 2 days, 1:09:38 time: 0.4361 data_time: 0.0174 memory: 17087 grad_norm: 4.7760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7154 loss: 1.7154 2022/08/03 17:22:07 - mmengine - INFO - Epoch(train) [37][100/1879] lr: 1.0000e-02 eta: 2 days, 1:09:29 time: 0.4247 data_time: 0.0148 memory: 17087 grad_norm: 4.7161 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6097 loss: 1.6097 2022/08/03 17:22:15 - mmengine - INFO - Epoch(train) [37][120/1879] lr: 1.0000e-02 eta: 2 days, 1:09:20 time: 0.4291 data_time: 0.0172 memory: 17087 grad_norm: 4.7396 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6961 loss: 1.6961 2022/08/03 17:22:24 - mmengine - INFO - Epoch(train) [37][140/1879] lr: 1.0000e-02 eta: 2 days, 1:09:11 time: 0.4250 data_time: 0.0150 memory: 17087 grad_norm: 4.9356 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.8354 loss: 1.8354 2022/08/03 17:22:32 - mmengine - INFO - Epoch(train) [37][160/1879] lr: 1.0000e-02 eta: 2 days, 1:09:03 time: 0.4263 data_time: 0.0166 memory: 17087 grad_norm: 4.9140 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7541 loss: 1.7541 2022/08/03 17:22:41 - mmengine - INFO - Epoch(train) [37][180/1879] lr: 1.0000e-02 eta: 2 days, 1:08:53 time: 0.4230 data_time: 0.0133 memory: 17087 grad_norm: 4.8172 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4620 loss: 1.4620 2022/08/03 17:22:49 - mmengine - INFO - Epoch(train) [37][200/1879] lr: 1.0000e-02 eta: 2 days, 1:08:45 time: 0.4300 data_time: 0.0163 memory: 17087 grad_norm: 4.7751 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5543 loss: 1.5543 2022/08/03 17:22:58 - mmengine - INFO - Epoch(train) [37][220/1879] lr: 1.0000e-02 eta: 2 days, 1:08:36 time: 0.4276 data_time: 0.0182 memory: 17087 grad_norm: 4.7579 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5775 loss: 1.5775 2022/08/03 17:23:07 - mmengine - INFO - Epoch(train) [37][240/1879] lr: 1.0000e-02 eta: 2 days, 1:08:28 time: 0.4330 data_time: 0.0165 memory: 17087 grad_norm: 4.7528 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5955 loss: 1.5955 2022/08/03 17:23:15 - mmengine - INFO - Epoch(train) [37][260/1879] lr: 1.0000e-02 eta: 2 days, 1:08:22 time: 0.4425 data_time: 0.0145 memory: 17087 grad_norm: 4.7725 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5502 loss: 1.5502 2022/08/03 17:23:24 - mmengine - INFO - Epoch(train) [37][280/1879] lr: 1.0000e-02 eta: 2 days, 1:08:14 time: 0.4326 data_time: 0.0201 memory: 17087 grad_norm: 4.9309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7234 loss: 1.7234 2022/08/03 17:23:33 - mmengine - INFO - Epoch(train) [37][300/1879] lr: 1.0000e-02 eta: 2 days, 1:08:05 time: 0.4302 data_time: 0.0141 memory: 17087 grad_norm: 4.9625 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5683 loss: 1.5683 2022/08/03 17:23:41 - mmengine - INFO - Epoch(train) [37][320/1879] lr: 1.0000e-02 eta: 2 days, 1:07:57 time: 0.4302 data_time: 0.0165 memory: 17087 grad_norm: 4.7647 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6785 loss: 1.6785 2022/08/03 17:23:50 - mmengine - INFO - Epoch(train) [37][340/1879] lr: 1.0000e-02 eta: 2 days, 1:07:48 time: 0.4244 data_time: 0.0151 memory: 17087 grad_norm: 4.7675 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8298 loss: 1.8298 2022/08/03 17:23:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:23:58 - mmengine - INFO - Epoch(train) [37][360/1879] lr: 1.0000e-02 eta: 2 days, 1:07:39 time: 0.4249 data_time: 0.0157 memory: 17087 grad_norm: 4.8503 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6723 loss: 1.6723 2022/08/03 17:24:07 - mmengine - INFO - Epoch(train) [37][380/1879] lr: 1.0000e-02 eta: 2 days, 1:07:30 time: 0.4271 data_time: 0.0132 memory: 17087 grad_norm: 4.8954 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5467 loss: 1.5467 2022/08/03 17:24:16 - mmengine - INFO - Epoch(train) [37][400/1879] lr: 1.0000e-02 eta: 2 days, 1:07:24 time: 0.4447 data_time: 0.0174 memory: 17087 grad_norm: 4.8234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8318 loss: 1.8318 2022/08/03 17:24:24 - mmengine - INFO - Epoch(train) [37][420/1879] lr: 1.0000e-02 eta: 2 days, 1:07:15 time: 0.4230 data_time: 0.0138 memory: 17087 grad_norm: 4.8000 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6139 loss: 1.6139 2022/08/03 17:24:33 - mmengine - INFO - Epoch(train) [37][440/1879] lr: 1.0000e-02 eta: 2 days, 1:07:06 time: 0.4315 data_time: 0.0168 memory: 17087 grad_norm: 4.9935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6691 loss: 1.6691 2022/08/03 17:24:41 - mmengine - INFO - Epoch(train) [37][460/1879] lr: 1.0000e-02 eta: 2 days, 1:06:58 time: 0.4303 data_time: 0.0155 memory: 17087 grad_norm: 4.8037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5326 loss: 1.5326 2022/08/03 17:24:50 - mmengine - INFO - Epoch(train) [37][480/1879] lr: 1.0000e-02 eta: 2 days, 1:06:49 time: 0.4257 data_time: 0.0151 memory: 17087 grad_norm: 4.7035 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6912 loss: 1.6912 2022/08/03 17:24:58 - mmengine - INFO - Epoch(train) [37][500/1879] lr: 1.0000e-02 eta: 2 days, 1:06:40 time: 0.4251 data_time: 0.0162 memory: 17087 grad_norm: 4.7940 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7051 loss: 1.7051 2022/08/03 17:25:07 - mmengine - INFO - Epoch(train) [37][520/1879] lr: 1.0000e-02 eta: 2 days, 1:06:32 time: 0.4277 data_time: 0.0159 memory: 17087 grad_norm: 4.8755 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4931 loss: 1.4931 2022/08/03 17:25:16 - mmengine - INFO - Epoch(train) [37][540/1879] lr: 1.0000e-02 eta: 2 days, 1:06:23 time: 0.4295 data_time: 0.0160 memory: 17087 grad_norm: 4.9471 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5943 loss: 1.5943 2022/08/03 17:25:24 - mmengine - INFO - Epoch(train) [37][560/1879] lr: 1.0000e-02 eta: 2 days, 1:06:15 time: 0.4301 data_time: 0.0154 memory: 17087 grad_norm: 4.7636 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7178 loss: 1.7178 2022/08/03 17:25:33 - mmengine - INFO - Epoch(train) [37][580/1879] lr: 1.0000e-02 eta: 2 days, 1:06:06 time: 0.4249 data_time: 0.0164 memory: 17087 grad_norm: 4.7587 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5050 loss: 1.5050 2022/08/03 17:25:41 - mmengine - INFO - Epoch(train) [37][600/1879] lr: 1.0000e-02 eta: 2 days, 1:05:57 time: 0.4241 data_time: 0.0147 memory: 17087 grad_norm: 4.9755 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6372 loss: 1.6372 2022/08/03 17:25:50 - mmengine - INFO - Epoch(train) [37][620/1879] lr: 1.0000e-02 eta: 2 days, 1:05:48 time: 0.4243 data_time: 0.0186 memory: 17087 grad_norm: 4.9767 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4690 loss: 1.4690 2022/08/03 17:25:59 - mmengine - INFO - Epoch(train) [37][640/1879] lr: 1.0000e-02 eta: 2 days, 1:05:44 time: 0.4673 data_time: 0.0186 memory: 17087 grad_norm: 4.8423 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5479 loss: 1.5479 2022/08/03 17:26:08 - mmengine - INFO - Epoch(train) [37][660/1879] lr: 1.0000e-02 eta: 2 days, 1:05:35 time: 0.4234 data_time: 0.0133 memory: 17087 grad_norm: 4.8666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8660 loss: 1.8660 2022/08/03 17:26:16 - mmengine - INFO - Epoch(train) [37][680/1879] lr: 1.0000e-02 eta: 2 days, 1:05:27 time: 0.4326 data_time: 0.0170 memory: 17087 grad_norm: 4.9142 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6867 loss: 1.6867 2022/08/03 17:26:25 - mmengine - INFO - Epoch(train) [37][700/1879] lr: 1.0000e-02 eta: 2 days, 1:05:18 time: 0.4243 data_time: 0.0153 memory: 17087 grad_norm: 4.8699 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6247 loss: 1.6247 2022/08/03 17:26:34 - mmengine - INFO - Epoch(train) [37][720/1879] lr: 1.0000e-02 eta: 2 days, 1:05:13 time: 0.4572 data_time: 0.0157 memory: 17087 grad_norm: 4.9205 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6539 loss: 1.6539 2022/08/03 17:26:42 - mmengine - INFO - Epoch(train) [37][740/1879] lr: 1.0000e-02 eta: 2 days, 1:05:04 time: 0.4297 data_time: 0.0205 memory: 17087 grad_norm: 4.7730 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6017 loss: 1.6017 2022/08/03 17:26:51 - mmengine - INFO - Epoch(train) [37][760/1879] lr: 1.0000e-02 eta: 2 days, 1:04:56 time: 0.4286 data_time: 0.0162 memory: 17087 grad_norm: 4.7985 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.9557 loss: 1.9557 2022/08/03 17:27:00 - mmengine - INFO - Epoch(train) [37][780/1879] lr: 1.0000e-02 eta: 2 days, 1:04:47 time: 0.4269 data_time: 0.0133 memory: 17087 grad_norm: 4.7786 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6441 loss: 1.6441 2022/08/03 17:27:08 - mmengine - INFO - Epoch(train) [37][800/1879] lr: 1.0000e-02 eta: 2 days, 1:04:38 time: 0.4239 data_time: 0.0174 memory: 17087 grad_norm: 4.8145 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4577 loss: 1.4577 2022/08/03 17:27:17 - mmengine - INFO - Epoch(train) [37][820/1879] lr: 1.0000e-02 eta: 2 days, 1:04:30 time: 0.4298 data_time: 0.0156 memory: 17087 grad_norm: 5.0024 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7511 loss: 1.7511 2022/08/03 17:27:25 - mmengine - INFO - Epoch(train) [37][840/1879] lr: 1.0000e-02 eta: 2 days, 1:04:21 time: 0.4317 data_time: 0.0161 memory: 17087 grad_norm: 4.8279 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5637 loss: 1.5637 2022/08/03 17:27:34 - mmengine - INFO - Epoch(train) [37][860/1879] lr: 1.0000e-02 eta: 2 days, 1:04:16 time: 0.4516 data_time: 0.0163 memory: 17087 grad_norm: 4.9222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6190 loss: 1.6190 2022/08/03 17:27:43 - mmengine - INFO - Epoch(train) [37][880/1879] lr: 1.0000e-02 eta: 2 days, 1:04:07 time: 0.4279 data_time: 0.0163 memory: 17087 grad_norm: 4.9351 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.8005 loss: 1.8005 2022/08/03 17:27:51 - mmengine - INFO - Epoch(train) [37][900/1879] lr: 1.0000e-02 eta: 2 days, 1:03:59 time: 0.4283 data_time: 0.0146 memory: 17087 grad_norm: 4.9768 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5964 loss: 1.5964 2022/08/03 17:28:00 - mmengine - INFO - Epoch(train) [37][920/1879] lr: 1.0000e-02 eta: 2 days, 1:03:50 time: 0.4256 data_time: 0.0158 memory: 17087 grad_norm: 4.7941 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5531 loss: 1.5531 2022/08/03 17:28:09 - mmengine - INFO - Epoch(train) [37][940/1879] lr: 1.0000e-02 eta: 2 days, 1:03:41 time: 0.4290 data_time: 0.0133 memory: 17087 grad_norm: 4.9100 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6664 loss: 1.6664 2022/08/03 17:28:17 - mmengine - INFO - Epoch(train) [37][960/1879] lr: 1.0000e-02 eta: 2 days, 1:03:33 time: 0.4280 data_time: 0.0173 memory: 17087 grad_norm: 4.8150 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5852 loss: 1.5852 2022/08/03 17:28:26 - mmengine - INFO - Epoch(train) [37][980/1879] lr: 1.0000e-02 eta: 2 days, 1:03:24 time: 0.4254 data_time: 0.0156 memory: 17087 grad_norm: 4.7411 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.8571 loss: 1.8571 2022/08/03 17:28:34 - mmengine - INFO - Epoch(train) [37][1000/1879] lr: 1.0000e-02 eta: 2 days, 1:03:15 time: 0.4273 data_time: 0.0176 memory: 17087 grad_norm: 4.8922 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7297 loss: 1.7297 2022/08/03 17:28:43 - mmengine - INFO - Epoch(train) [37][1020/1879] lr: 1.0000e-02 eta: 2 days, 1:03:06 time: 0.4247 data_time: 0.0152 memory: 17087 grad_norm: 4.7473 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7800 loss: 1.7800 2022/08/03 17:28:51 - mmengine - INFO - Epoch(train) [37][1040/1879] lr: 1.0000e-02 eta: 2 days, 1:02:57 time: 0.4263 data_time: 0.0151 memory: 17087 grad_norm: 5.1111 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5796 loss: 1.5796 2022/08/03 17:29:00 - mmengine - INFO - Epoch(train) [37][1060/1879] lr: 1.0000e-02 eta: 2 days, 1:02:49 time: 0.4275 data_time: 0.0136 memory: 17087 grad_norm: 4.9563 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6863 loss: 1.6863 2022/08/03 17:29:08 - mmengine - INFO - Epoch(train) [37][1080/1879] lr: 1.0000e-02 eta: 2 days, 1:02:40 time: 0.4296 data_time: 0.0166 memory: 17087 grad_norm: 4.9738 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7496 loss: 1.7496 2022/08/03 17:29:17 - mmengine - INFO - Epoch(train) [37][1100/1879] lr: 1.0000e-02 eta: 2 days, 1:02:32 time: 0.4343 data_time: 0.0139 memory: 17087 grad_norm: 5.0014 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7536 loss: 1.7536 2022/08/03 17:29:26 - mmengine - INFO - Epoch(train) [37][1120/1879] lr: 1.0000e-02 eta: 2 days, 1:02:24 time: 0.4272 data_time: 0.0158 memory: 17087 grad_norm: 5.0431 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7445 loss: 1.7445 2022/08/03 17:29:34 - mmengine - INFO - Epoch(train) [37][1140/1879] lr: 1.0000e-02 eta: 2 days, 1:02:16 time: 0.4325 data_time: 0.0137 memory: 17087 grad_norm: 4.7764 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5994 loss: 1.5994 2022/08/03 17:29:43 - mmengine - INFO - Epoch(train) [37][1160/1879] lr: 1.0000e-02 eta: 2 days, 1:02:07 time: 0.4307 data_time: 0.0173 memory: 17087 grad_norm: 4.8712 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7405 loss: 1.7405 2022/08/03 17:29:51 - mmengine - INFO - Epoch(train) [37][1180/1879] lr: 1.0000e-02 eta: 2 days, 1:01:59 time: 0.4326 data_time: 0.0155 memory: 17087 grad_norm: 4.8877 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5680 loss: 1.5680 2022/08/03 17:30:00 - mmengine - INFO - Epoch(train) [37][1200/1879] lr: 1.0000e-02 eta: 2 days, 1:01:50 time: 0.4251 data_time: 0.0164 memory: 17087 grad_norm: 4.8089 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5816 loss: 1.5816 2022/08/03 17:30:09 - mmengine - INFO - Epoch(train) [37][1220/1879] lr: 1.0000e-02 eta: 2 days, 1:01:41 time: 0.4248 data_time: 0.0149 memory: 17087 grad_norm: 4.8786 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8240 loss: 1.8240 2022/08/03 17:30:17 - mmengine - INFO - Epoch(train) [37][1240/1879] lr: 1.0000e-02 eta: 2 days, 1:01:33 time: 0.4290 data_time: 0.0173 memory: 17087 grad_norm: 4.6721 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5816 loss: 1.5816 2022/08/03 17:30:26 - mmengine - INFO - Epoch(train) [37][1260/1879] lr: 1.0000e-02 eta: 2 days, 1:01:24 time: 0.4230 data_time: 0.0122 memory: 17087 grad_norm: 4.8715 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6431 loss: 1.6431 2022/08/03 17:30:35 - mmengine - INFO - Epoch(train) [37][1280/1879] lr: 1.0000e-02 eta: 2 days, 1:01:18 time: 0.4536 data_time: 0.0165 memory: 17087 grad_norm: 4.8597 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7563 loss: 1.7563 2022/08/03 17:30:43 - mmengine - INFO - Epoch(train) [37][1300/1879] lr: 1.0000e-02 eta: 2 days, 1:01:09 time: 0.4246 data_time: 0.0156 memory: 17087 grad_norm: 4.8154 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8217 loss: 1.8217 2022/08/03 17:30:52 - mmengine - INFO - Epoch(train) [37][1320/1879] lr: 1.0000e-02 eta: 2 days, 1:01:00 time: 0.4263 data_time: 0.0142 memory: 17087 grad_norm: 4.9273 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7732 loss: 1.7732 2022/08/03 17:31:00 - mmengine - INFO - Epoch(train) [37][1340/1879] lr: 1.0000e-02 eta: 2 days, 1:00:51 time: 0.4223 data_time: 0.0153 memory: 17087 grad_norm: 4.9104 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7162 loss: 1.7162 2022/08/03 17:31:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:31:09 - mmengine - INFO - Epoch(train) [37][1360/1879] lr: 1.0000e-02 eta: 2 days, 1:00:43 time: 0.4298 data_time: 0.0165 memory: 17087 grad_norm: 4.8012 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6503 loss: 1.6503 2022/08/03 17:31:17 - mmengine - INFO - Epoch(train) [37][1380/1879] lr: 1.0000e-02 eta: 2 days, 1:00:34 time: 0.4311 data_time: 0.0141 memory: 17087 grad_norm: 4.8472 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4979 loss: 1.4979 2022/08/03 17:31:26 - mmengine - INFO - Epoch(train) [37][1400/1879] lr: 1.0000e-02 eta: 2 days, 1:00:26 time: 0.4315 data_time: 0.0163 memory: 17087 grad_norm: 4.9186 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8362 loss: 1.8362 2022/08/03 17:31:34 - mmengine - INFO - Epoch(train) [37][1420/1879] lr: 1.0000e-02 eta: 2 days, 1:00:17 time: 0.4242 data_time: 0.0151 memory: 17087 grad_norm: 4.9081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6023 loss: 1.6023 2022/08/03 17:31:44 - mmengine - INFO - Epoch(train) [37][1440/1879] lr: 1.0000e-02 eta: 2 days, 1:00:12 time: 0.4584 data_time: 0.0185 memory: 17087 grad_norm: 4.9162 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6155 loss: 1.6155 2022/08/03 17:31:52 - mmengine - INFO - Epoch(train) [37][1460/1879] lr: 1.0000e-02 eta: 2 days, 1:00:03 time: 0.4254 data_time: 0.0148 memory: 17087 grad_norm: 4.7622 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7825 loss: 1.7825 2022/08/03 17:32:01 - mmengine - INFO - Epoch(train) [37][1480/1879] lr: 1.0000e-02 eta: 2 days, 0:59:54 time: 0.4249 data_time: 0.0156 memory: 17087 grad_norm: 4.7648 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8120 loss: 1.8120 2022/08/03 17:32:09 - mmengine - INFO - Epoch(train) [37][1500/1879] lr: 1.0000e-02 eta: 2 days, 0:59:45 time: 0.4251 data_time: 0.0138 memory: 17087 grad_norm: 5.0820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7407 loss: 1.7407 2022/08/03 17:32:18 - mmengine - INFO - Epoch(train) [37][1520/1879] lr: 1.0000e-02 eta: 2 days, 0:59:37 time: 0.4267 data_time: 0.0161 memory: 17087 grad_norm: 4.9903 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7925 loss: 1.7925 2022/08/03 17:32:26 - mmengine - INFO - Epoch(train) [37][1540/1879] lr: 1.0000e-02 eta: 2 days, 0:59:28 time: 0.4246 data_time: 0.0147 memory: 17087 grad_norm: 4.8356 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7926 loss: 1.7926 2022/08/03 17:32:35 - mmengine - INFO - Epoch(train) [37][1560/1879] lr: 1.0000e-02 eta: 2 days, 0:59:19 time: 0.4271 data_time: 0.0175 memory: 17087 grad_norm: 4.6526 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7323 loss: 1.7323 2022/08/03 17:32:43 - mmengine - INFO - Epoch(train) [37][1580/1879] lr: 1.0000e-02 eta: 2 days, 0:59:10 time: 0.4282 data_time: 0.0152 memory: 17087 grad_norm: 4.7966 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7633 loss: 1.7633 2022/08/03 17:32:52 - mmengine - INFO - Epoch(train) [37][1600/1879] lr: 1.0000e-02 eta: 2 days, 0:59:02 time: 0.4301 data_time: 0.0163 memory: 17087 grad_norm: 4.8003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5580 loss: 1.5580 2022/08/03 17:33:00 - mmengine - INFO - Epoch(train) [37][1620/1879] lr: 1.0000e-02 eta: 2 days, 0:58:53 time: 0.4234 data_time: 0.0130 memory: 17087 grad_norm: 4.8957 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9850 loss: 1.9850 2022/08/03 17:33:09 - mmengine - INFO - Epoch(train) [37][1640/1879] lr: 1.0000e-02 eta: 2 days, 0:58:47 time: 0.4504 data_time: 0.0173 memory: 17087 grad_norm: 4.7056 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5625 loss: 1.5625 2022/08/03 17:33:18 - mmengine - INFO - Epoch(train) [37][1660/1879] lr: 1.0000e-02 eta: 2 days, 0:58:39 time: 0.4351 data_time: 0.0160 memory: 17087 grad_norm: 4.7665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7229 loss: 1.7229 2022/08/03 17:33:27 - mmengine - INFO - Epoch(train) [37][1680/1879] lr: 1.0000e-02 eta: 2 days, 0:58:33 time: 0.4504 data_time: 0.0176 memory: 17087 grad_norm: 4.9378 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6414 loss: 1.6414 2022/08/03 17:33:36 - mmengine - INFO - Epoch(train) [37][1700/1879] lr: 1.0000e-02 eta: 2 days, 0:58:25 time: 0.4272 data_time: 0.0128 memory: 17087 grad_norm: 4.8196 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7599 loss: 1.7599 2022/08/03 17:33:44 - mmengine - INFO - Epoch(train) [37][1720/1879] lr: 1.0000e-02 eta: 2 days, 0:58:17 time: 0.4375 data_time: 0.0229 memory: 17087 grad_norm: 4.8244 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7341 loss: 1.7341 2022/08/03 17:33:53 - mmengine - INFO - Epoch(train) [37][1740/1879] lr: 1.0000e-02 eta: 2 days, 0:58:08 time: 0.4236 data_time: 0.0135 memory: 17087 grad_norm: 4.8788 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8001 loss: 1.8001 2022/08/03 17:34:01 - mmengine - INFO - Epoch(train) [37][1760/1879] lr: 1.0000e-02 eta: 2 days, 0:57:59 time: 0.4251 data_time: 0.0155 memory: 17087 grad_norm: 4.7311 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8598 loss: 1.8598 2022/08/03 17:34:10 - mmengine - INFO - Epoch(train) [37][1780/1879] lr: 1.0000e-02 eta: 2 days, 0:57:51 time: 0.4296 data_time: 0.0186 memory: 17087 grad_norm: 4.8064 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7307 loss: 1.7307 2022/08/03 17:34:19 - mmengine - INFO - Epoch(train) [37][1800/1879] lr: 1.0000e-02 eta: 2 days, 0:57:42 time: 0.4267 data_time: 0.0160 memory: 17087 grad_norm: 4.9140 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5988 loss: 1.5988 2022/08/03 17:34:28 - mmengine - INFO - Epoch(train) [37][1820/1879] lr: 1.0000e-02 eta: 2 days, 0:57:36 time: 0.4501 data_time: 0.0174 memory: 17087 grad_norm: 4.8874 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7209 loss: 1.7209 2022/08/03 17:34:36 - mmengine - INFO - Epoch(train) [37][1840/1879] lr: 1.0000e-02 eta: 2 days, 0:57:28 time: 0.4310 data_time: 0.0171 memory: 17087 grad_norm: 4.7885 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5229 loss: 1.5229 2022/08/03 17:34:45 - mmengine - INFO - Epoch(train) [37][1860/1879] lr: 1.0000e-02 eta: 2 days, 0:57:22 time: 0.4519 data_time: 0.0143 memory: 17087 grad_norm: 4.7481 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4123 loss: 1.4123 2022/08/03 17:34:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:34:53 - mmengine - INFO - Epoch(train) [37][1879/1879] lr: 1.0000e-02 eta: 2 days, 0:57:22 time: 0.4120 data_time: 0.0189 memory: 17087 grad_norm: 4.9219 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.8221 loss: 1.8221 2022/08/03 17:35:04 - mmengine - INFO - Epoch(train) [38][20/1879] lr: 1.0000e-02 eta: 2 days, 0:56:32 time: 0.5557 data_time: 0.1322 memory: 17087 grad_norm: 4.8768 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7766 loss: 1.7766 2022/08/03 17:35:13 - mmengine - INFO - Epoch(train) [38][40/1879] lr: 1.0000e-02 eta: 2 days, 0:56:27 time: 0.4584 data_time: 0.0229 memory: 17087 grad_norm: 4.9068 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7562 loss: 1.7562 2022/08/03 17:35:22 - mmengine - INFO - Epoch(train) [38][60/1879] lr: 1.0000e-02 eta: 2 days, 0:56:18 time: 0.4222 data_time: 0.0137 memory: 17087 grad_norm: 4.7515 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5868 loss: 1.5868 2022/08/03 17:35:30 - mmengine - INFO - Epoch(train) [38][80/1879] lr: 1.0000e-02 eta: 2 days, 0:56:09 time: 0.4250 data_time: 0.0149 memory: 17087 grad_norm: 4.9010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7573 loss: 1.7573 2022/08/03 17:35:39 - mmengine - INFO - Epoch(train) [38][100/1879] lr: 1.0000e-02 eta: 2 days, 0:56:00 time: 0.4265 data_time: 0.0138 memory: 17087 grad_norm: 4.6912 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6693 loss: 1.6693 2022/08/03 17:35:47 - mmengine - INFO - Epoch(train) [38][120/1879] lr: 1.0000e-02 eta: 2 days, 0:55:51 time: 0.4261 data_time: 0.0178 memory: 17087 grad_norm: 4.8547 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7813 loss: 1.7813 2022/08/03 17:35:56 - mmengine - INFO - Epoch(train) [38][140/1879] lr: 1.0000e-02 eta: 2 days, 0:55:43 time: 0.4295 data_time: 0.0166 memory: 17087 grad_norm: 4.7599 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5422 loss: 1.5422 2022/08/03 17:36:04 - mmengine - INFO - Epoch(train) [38][160/1879] lr: 1.0000e-02 eta: 2 days, 0:55:34 time: 0.4250 data_time: 0.0169 memory: 17087 grad_norm: 4.9434 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6329 loss: 1.6329 2022/08/03 17:36:13 - mmengine - INFO - Epoch(train) [38][180/1879] lr: 1.0000e-02 eta: 2 days, 0:55:26 time: 0.4306 data_time: 0.0162 memory: 17087 grad_norm: 4.7705 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.6816 loss: 1.6816 2022/08/03 17:36:22 - mmengine - INFO - Epoch(train) [38][200/1879] lr: 1.0000e-02 eta: 2 days, 0:55:17 time: 0.4256 data_time: 0.0151 memory: 17087 grad_norm: 4.7457 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6887 loss: 1.6887 2022/08/03 17:36:30 - mmengine - INFO - Epoch(train) [38][220/1879] lr: 1.0000e-02 eta: 2 days, 0:55:08 time: 0.4233 data_time: 0.0136 memory: 17087 grad_norm: 4.8553 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6084 loss: 1.6084 2022/08/03 17:36:39 - mmengine - INFO - Epoch(train) [38][240/1879] lr: 1.0000e-02 eta: 2 days, 0:55:03 time: 0.4592 data_time: 0.0182 memory: 17087 grad_norm: 5.0703 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7308 loss: 1.7308 2022/08/03 17:36:48 - mmengine - INFO - Epoch(train) [38][260/1879] lr: 1.0000e-02 eta: 2 days, 0:54:55 time: 0.4328 data_time: 0.0166 memory: 17087 grad_norm: 4.8787 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7315 loss: 1.7315 2022/08/03 17:36:56 - mmengine - INFO - Epoch(train) [38][280/1879] lr: 1.0000e-02 eta: 2 days, 0:54:46 time: 0.4262 data_time: 0.0172 memory: 17087 grad_norm: 4.9000 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6313 loss: 1.6313 2022/08/03 17:37:05 - mmengine - INFO - Epoch(train) [38][300/1879] lr: 1.0000e-02 eta: 2 days, 0:54:37 time: 0.4263 data_time: 0.0152 memory: 17087 grad_norm: 4.8159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7803 loss: 1.7803 2022/08/03 17:37:14 - mmengine - INFO - Epoch(train) [38][320/1879] lr: 1.0000e-02 eta: 2 days, 0:54:30 time: 0.4355 data_time: 0.0174 memory: 17087 grad_norm: 4.8138 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6525 loss: 1.6525 2022/08/03 17:37:22 - mmengine - INFO - Epoch(train) [38][340/1879] lr: 1.0000e-02 eta: 2 days, 0:54:21 time: 0.4266 data_time: 0.0123 memory: 17087 grad_norm: 4.9178 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8704 loss: 1.8704 2022/08/03 17:37:31 - mmengine - INFO - Epoch(train) [38][360/1879] lr: 1.0000e-02 eta: 2 days, 0:54:12 time: 0.4252 data_time: 0.0165 memory: 17087 grad_norm: 4.8584 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7974 loss: 1.7974 2022/08/03 17:37:39 - mmengine - INFO - Epoch(train) [38][380/1879] lr: 1.0000e-02 eta: 2 days, 0:54:03 time: 0.4242 data_time: 0.0136 memory: 17087 grad_norm: 4.9308 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6644 loss: 1.6644 2022/08/03 17:37:48 - mmengine - INFO - Epoch(train) [38][400/1879] lr: 1.0000e-02 eta: 2 days, 0:53:54 time: 0.4297 data_time: 0.0167 memory: 17087 grad_norm: 4.7524 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7196 loss: 1.7196 2022/08/03 17:37:56 - mmengine - INFO - Epoch(train) [38][420/1879] lr: 1.0000e-02 eta: 2 days, 0:53:45 time: 0.4228 data_time: 0.0127 memory: 17087 grad_norm: 4.8153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6111 loss: 1.6111 2022/08/03 17:38:05 - mmengine - INFO - Epoch(train) [38][440/1879] lr: 1.0000e-02 eta: 2 days, 0:53:39 time: 0.4463 data_time: 0.0161 memory: 17087 grad_norm: 4.8842 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5567 loss: 1.5567 2022/08/03 17:38:14 - mmengine - INFO - Epoch(train) [38][460/1879] lr: 1.0000e-02 eta: 2 days, 0:53:30 time: 0.4242 data_time: 0.0139 memory: 17087 grad_norm: 4.9916 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4895 loss: 1.4895 2022/08/03 17:38:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:38:23 - mmengine - INFO - Epoch(train) [38][480/1879] lr: 1.0000e-02 eta: 2 days, 0:53:25 time: 0.4603 data_time: 0.0159 memory: 17087 grad_norm: 4.8633 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7899 loss: 1.7899 2022/08/03 17:38:31 - mmengine - INFO - Epoch(train) [38][500/1879] lr: 1.0000e-02 eta: 2 days, 0:53:16 time: 0.4278 data_time: 0.0143 memory: 17087 grad_norm: 4.8664 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6434 loss: 1.6434 2022/08/03 17:38:40 - mmengine - INFO - Epoch(train) [38][520/1879] lr: 1.0000e-02 eta: 2 days, 0:53:07 time: 0.4253 data_time: 0.0169 memory: 17087 grad_norm: 4.7913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9196 loss: 1.9196 2022/08/03 17:38:49 - mmengine - INFO - Epoch(train) [38][540/1879] lr: 1.0000e-02 eta: 2 days, 0:53:00 time: 0.4360 data_time: 0.0168 memory: 17087 grad_norm: 4.8935 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5854 loss: 1.5854 2022/08/03 17:38:57 - mmengine - INFO - Epoch(train) [38][560/1879] lr: 1.0000e-02 eta: 2 days, 0:52:51 time: 0.4267 data_time: 0.0175 memory: 17087 grad_norm: 4.7909 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6974 loss: 1.6974 2022/08/03 17:39:06 - mmengine - INFO - Epoch(train) [38][580/1879] lr: 1.0000e-02 eta: 2 days, 0:52:43 time: 0.4293 data_time: 0.0155 memory: 17087 grad_norm: 5.0926 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5937 loss: 1.5937 2022/08/03 17:39:14 - mmengine - INFO - Epoch(train) [38][600/1879] lr: 1.0000e-02 eta: 2 days, 0:52:34 time: 0.4258 data_time: 0.0157 memory: 17087 grad_norm: 5.0149 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7262 loss: 1.7262 2022/08/03 17:39:24 - mmengine - INFO - Epoch(train) [38][620/1879] lr: 1.0000e-02 eta: 2 days, 0:52:29 time: 0.4641 data_time: 0.0169 memory: 17087 grad_norm: 4.8306 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7321 loss: 1.7321 2022/08/03 17:39:32 - mmengine - INFO - Epoch(train) [38][640/1879] lr: 1.0000e-02 eta: 2 days, 0:52:21 time: 0.4270 data_time: 0.0157 memory: 17087 grad_norm: 4.8332 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.6834 loss: 1.6834 2022/08/03 17:39:41 - mmengine - INFO - Epoch(train) [38][660/1879] lr: 1.0000e-02 eta: 2 days, 0:52:12 time: 0.4231 data_time: 0.0142 memory: 17087 grad_norm: 4.8450 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5327 loss: 1.5327 2022/08/03 17:39:50 - mmengine - INFO - Epoch(train) [38][680/1879] lr: 1.0000e-02 eta: 2 days, 0:52:06 time: 0.4568 data_time: 0.0179 memory: 17087 grad_norm: 4.8958 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8042 loss: 1.8042 2022/08/03 17:39:58 - mmengine - INFO - Epoch(train) [38][700/1879] lr: 1.0000e-02 eta: 2 days, 0:51:58 time: 0.4330 data_time: 0.0146 memory: 17087 grad_norm: 4.8003 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6933 loss: 1.6933 2022/08/03 17:40:07 - mmengine - INFO - Epoch(train) [38][720/1879] lr: 1.0000e-02 eta: 2 days, 0:51:49 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 4.9253 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5471 loss: 1.5471 2022/08/03 17:40:16 - mmengine - INFO - Epoch(train) [38][740/1879] lr: 1.0000e-02 eta: 2 days, 0:51:45 time: 0.4601 data_time: 0.0198 memory: 17087 grad_norm: 4.7496 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5918 loss: 1.5918 2022/08/03 17:40:25 - mmengine - INFO - Epoch(train) [38][760/1879] lr: 1.0000e-02 eta: 2 days, 0:51:36 time: 0.4249 data_time: 0.0156 memory: 17087 grad_norm: 4.9369 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5815 loss: 1.5815 2022/08/03 17:40:34 - mmengine - INFO - Epoch(train) [38][780/1879] lr: 1.0000e-02 eta: 2 days, 0:51:31 time: 0.4620 data_time: 0.0215 memory: 17087 grad_norm: 4.9362 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5361 loss: 1.5361 2022/08/03 17:40:42 - mmengine - INFO - Epoch(train) [38][800/1879] lr: 1.0000e-02 eta: 2 days, 0:51:22 time: 0.4262 data_time: 0.0155 memory: 17087 grad_norm: 4.9647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5185 loss: 1.5185 2022/08/03 17:40:51 - mmengine - INFO - Epoch(train) [38][820/1879] lr: 1.0000e-02 eta: 2 days, 0:51:14 time: 0.4275 data_time: 0.0189 memory: 17087 grad_norm: 4.8884 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8474 loss: 1.8474 2022/08/03 17:41:00 - mmengine - INFO - Epoch(train) [38][840/1879] lr: 1.0000e-02 eta: 2 days, 0:51:05 time: 0.4271 data_time: 0.0162 memory: 17087 grad_norm: 4.9374 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8664 loss: 1.8664 2022/08/03 17:41:08 - mmengine - INFO - Epoch(train) [38][860/1879] lr: 1.0000e-02 eta: 2 days, 0:50:56 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 4.8996 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6236 loss: 1.6236 2022/08/03 17:41:17 - mmengine - INFO - Epoch(train) [38][880/1879] lr: 1.0000e-02 eta: 2 days, 0:50:48 time: 0.4359 data_time: 0.0165 memory: 17087 grad_norm: 4.9504 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7266 loss: 1.7266 2022/08/03 17:41:25 - mmengine - INFO - Epoch(train) [38][900/1879] lr: 1.0000e-02 eta: 2 days, 0:50:39 time: 0.4238 data_time: 0.0141 memory: 17087 grad_norm: 4.8114 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6753 loss: 1.6753 2022/08/03 17:41:34 - mmengine - INFO - Epoch(train) [38][920/1879] lr: 1.0000e-02 eta: 2 days, 0:50:31 time: 0.4298 data_time: 0.0163 memory: 17087 grad_norm: 4.9956 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8982 loss: 1.8982 2022/08/03 17:41:42 - mmengine - INFO - Epoch(train) [38][940/1879] lr: 1.0000e-02 eta: 2 days, 0:50:22 time: 0.4243 data_time: 0.0148 memory: 17087 grad_norm: 4.7896 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7682 loss: 1.7682 2022/08/03 17:41:51 - mmengine - INFO - Epoch(train) [38][960/1879] lr: 1.0000e-02 eta: 2 days, 0:50:13 time: 0.4293 data_time: 0.0157 memory: 17087 grad_norm: 4.8430 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8142 loss: 1.8142 2022/08/03 17:41:59 - mmengine - INFO - Epoch(train) [38][980/1879] lr: 1.0000e-02 eta: 2 days, 0:50:04 time: 0.4242 data_time: 0.0141 memory: 17087 grad_norm: 4.9647 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5187 loss: 1.5187 2022/08/03 17:42:08 - mmengine - INFO - Epoch(train) [38][1000/1879] lr: 1.0000e-02 eta: 2 days, 0:49:56 time: 0.4311 data_time: 0.0172 memory: 17087 grad_norm: 4.7502 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5957 loss: 1.5957 2022/08/03 17:42:17 - mmengine - INFO - Epoch(train) [38][1020/1879] lr: 1.0000e-02 eta: 2 days, 0:49:48 time: 0.4291 data_time: 0.0141 memory: 17087 grad_norm: 4.8203 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5788 loss: 1.5788 2022/08/03 17:42:25 - mmengine - INFO - Epoch(train) [38][1040/1879] lr: 1.0000e-02 eta: 2 days, 0:49:40 time: 0.4392 data_time: 0.0185 memory: 17087 grad_norm: 4.8488 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5896 loss: 1.5896 2022/08/03 17:42:34 - mmengine - INFO - Epoch(train) [38][1060/1879] lr: 1.0000e-02 eta: 2 days, 0:49:31 time: 0.4238 data_time: 0.0149 memory: 17087 grad_norm: 4.8050 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7061 loss: 1.7061 2022/08/03 17:42:43 - mmengine - INFO - Epoch(train) [38][1080/1879] lr: 1.0000e-02 eta: 2 days, 0:49:23 time: 0.4266 data_time: 0.0159 memory: 17087 grad_norm: 4.7440 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4134 loss: 1.4134 2022/08/03 17:42:51 - mmengine - INFO - Epoch(train) [38][1100/1879] lr: 1.0000e-02 eta: 2 days, 0:49:14 time: 0.4300 data_time: 0.0135 memory: 17087 grad_norm: 4.8243 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9547 loss: 1.9547 2022/08/03 17:43:00 - mmengine - INFO - Epoch(train) [38][1120/1879] lr: 1.0000e-02 eta: 2 days, 0:49:06 time: 0.4338 data_time: 0.0166 memory: 17087 grad_norm: 4.7149 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7290 loss: 1.7290 2022/08/03 17:43:08 - mmengine - INFO - Epoch(train) [38][1140/1879] lr: 1.0000e-02 eta: 2 days, 0:48:58 time: 0.4338 data_time: 0.0156 memory: 17087 grad_norm: 4.8239 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6777 loss: 1.6777 2022/08/03 17:43:17 - mmengine - INFO - Epoch(train) [38][1160/1879] lr: 1.0000e-02 eta: 2 days, 0:48:49 time: 0.4244 data_time: 0.0159 memory: 17087 grad_norm: 4.7832 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5533 loss: 1.5533 2022/08/03 17:43:26 - mmengine - INFO - Epoch(train) [38][1180/1879] lr: 1.0000e-02 eta: 2 days, 0:48:44 time: 0.4521 data_time: 0.0155 memory: 17087 grad_norm: 4.8144 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6338 loss: 1.6338 2022/08/03 17:43:35 - mmengine - INFO - Epoch(train) [38][1200/1879] lr: 1.0000e-02 eta: 2 days, 0:48:35 time: 0.4245 data_time: 0.0167 memory: 17087 grad_norm: 4.8232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5536 loss: 1.5536 2022/08/03 17:43:43 - mmengine - INFO - Epoch(train) [38][1220/1879] lr: 1.0000e-02 eta: 2 days, 0:48:26 time: 0.4255 data_time: 0.0129 memory: 17087 grad_norm: 4.9023 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7252 loss: 1.7252 2022/08/03 17:43:52 - mmengine - INFO - Epoch(train) [38][1240/1879] lr: 1.0000e-02 eta: 2 days, 0:48:17 time: 0.4254 data_time: 0.0154 memory: 17087 grad_norm: 4.8585 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6876 loss: 1.6876 2022/08/03 17:44:00 - mmengine - INFO - Epoch(train) [38][1260/1879] lr: 1.0000e-02 eta: 2 days, 0:48:08 time: 0.4250 data_time: 0.0145 memory: 17087 grad_norm: 4.9005 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7385 loss: 1.7385 2022/08/03 17:44:09 - mmengine - INFO - Epoch(train) [38][1280/1879] lr: 1.0000e-02 eta: 2 days, 0:47:59 time: 0.4284 data_time: 0.0159 memory: 17087 grad_norm: 4.8053 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5687 loss: 1.5687 2022/08/03 17:44:17 - mmengine - INFO - Epoch(train) [38][1300/1879] lr: 1.0000e-02 eta: 2 days, 0:47:50 time: 0.4248 data_time: 0.0146 memory: 17087 grad_norm: 4.9912 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5106 loss: 1.5106 2022/08/03 17:44:26 - mmengine - INFO - Epoch(train) [38][1320/1879] lr: 1.0000e-02 eta: 2 days, 0:47:42 time: 0.4333 data_time: 0.0175 memory: 17087 grad_norm: 5.0297 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6254 loss: 1.6254 2022/08/03 17:44:34 - mmengine - INFO - Epoch(train) [38][1340/1879] lr: 1.0000e-02 eta: 2 days, 0:47:33 time: 0.4235 data_time: 0.0134 memory: 17087 grad_norm: 4.9408 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7618 loss: 1.7618 2022/08/03 17:44:43 - mmengine - INFO - Epoch(train) [38][1360/1879] lr: 1.0000e-02 eta: 2 days, 0:47:25 time: 0.4315 data_time: 0.0156 memory: 17087 grad_norm: 5.0504 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7691 loss: 1.7691 2022/08/03 17:44:51 - mmengine - INFO - Epoch(train) [38][1380/1879] lr: 1.0000e-02 eta: 2 days, 0:47:16 time: 0.4219 data_time: 0.0123 memory: 17087 grad_norm: 4.8569 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6224 loss: 1.6224 2022/08/03 17:45:00 - mmengine - INFO - Epoch(train) [38][1400/1879] lr: 1.0000e-02 eta: 2 days, 0:47:07 time: 0.4256 data_time: 0.0167 memory: 17087 grad_norm: 4.8515 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7152 loss: 1.7152 2022/08/03 17:45:09 - mmengine - INFO - Epoch(train) [38][1420/1879] lr: 1.0000e-02 eta: 2 days, 0:47:01 time: 0.4515 data_time: 0.0150 memory: 17087 grad_norm: 5.0132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7322 loss: 1.7322 2022/08/03 17:45:17 - mmengine - INFO - Epoch(train) [38][1440/1879] lr: 1.0000e-02 eta: 2 days, 0:46:52 time: 0.4262 data_time: 0.0162 memory: 17087 grad_norm: 4.9222 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6538 loss: 1.6538 2022/08/03 17:45:26 - mmengine - INFO - Epoch(train) [38][1460/1879] lr: 1.0000e-02 eta: 2 days, 0:46:45 time: 0.4433 data_time: 0.0136 memory: 17087 grad_norm: 4.8090 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6898 loss: 1.6898 2022/08/03 17:45:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:45:35 - mmengine - INFO - Epoch(train) [38][1480/1879] lr: 1.0000e-02 eta: 2 days, 0:46:37 time: 0.4314 data_time: 0.0207 memory: 17087 grad_norm: 4.9879 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7295 loss: 1.7295 2022/08/03 17:45:43 - mmengine - INFO - Epoch(train) [38][1500/1879] lr: 1.0000e-02 eta: 2 days, 0:46:28 time: 0.4279 data_time: 0.0157 memory: 17087 grad_norm: 4.8631 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6674 loss: 1.6674 2022/08/03 17:45:52 - mmengine - INFO - Epoch(train) [38][1520/1879] lr: 1.0000e-02 eta: 2 days, 0:46:20 time: 0.4254 data_time: 0.0151 memory: 17087 grad_norm: 4.8078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8528 loss: 1.8528 2022/08/03 17:46:00 - mmengine - INFO - Epoch(train) [38][1540/1879] lr: 1.0000e-02 eta: 2 days, 0:46:10 time: 0.4224 data_time: 0.0135 memory: 17087 grad_norm: 4.7565 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7946 loss: 1.7946 2022/08/03 17:46:09 - mmengine - INFO - Epoch(train) [38][1560/1879] lr: 1.0000e-02 eta: 2 days, 0:46:04 time: 0.4497 data_time: 0.0158 memory: 17087 grad_norm: 4.7994 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8378 loss: 1.8378 2022/08/03 17:46:18 - mmengine - INFO - Epoch(train) [38][1580/1879] lr: 1.0000e-02 eta: 2 days, 0:45:55 time: 0.4248 data_time: 0.0144 memory: 17087 grad_norm: 4.9048 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7135 loss: 1.7135 2022/08/03 17:46:27 - mmengine - INFO - Epoch(train) [38][1600/1879] lr: 1.0000e-02 eta: 2 days, 0:45:50 time: 0.4554 data_time: 0.0234 memory: 17087 grad_norm: 4.7274 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6744 loss: 1.6744 2022/08/03 17:46:36 - mmengine - INFO - Epoch(train) [38][1620/1879] lr: 1.0000e-02 eta: 2 days, 0:45:41 time: 0.4225 data_time: 0.0133 memory: 17087 grad_norm: 4.7343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4732 loss: 1.4732 2022/08/03 17:46:44 - mmengine - INFO - Epoch(train) [38][1640/1879] lr: 1.0000e-02 eta: 2 days, 0:45:34 time: 0.4479 data_time: 0.0169 memory: 17087 grad_norm: 4.7955 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8314 loss: 1.8314 2022/08/03 17:46:53 - mmengine - INFO - Epoch(train) [38][1660/1879] lr: 1.0000e-02 eta: 2 days, 0:45:25 time: 0.4247 data_time: 0.0144 memory: 17087 grad_norm: 4.8564 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5602 loss: 1.5602 2022/08/03 17:47:04 - mmengine - INFO - Epoch(train) [38][1680/1879] lr: 1.0000e-02 eta: 2 days, 0:45:31 time: 0.5496 data_time: 0.0163 memory: 17087 grad_norm: 4.8854 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6992 loss: 1.6992 2022/08/03 17:47:13 - mmengine - INFO - Epoch(train) [38][1700/1879] lr: 1.0000e-02 eta: 2 days, 0:45:22 time: 0.4256 data_time: 0.0166 memory: 17087 grad_norm: 4.8659 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6056 loss: 1.6056 2022/08/03 17:47:21 - mmengine - INFO - Epoch(train) [38][1720/1879] lr: 1.0000e-02 eta: 2 days, 0:45:13 time: 0.4268 data_time: 0.0152 memory: 17087 grad_norm: 4.8360 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6805 loss: 1.6805 2022/08/03 17:47:30 - mmengine - INFO - Epoch(train) [38][1740/1879] lr: 1.0000e-02 eta: 2 days, 0:45:05 time: 0.4306 data_time: 0.0178 memory: 17087 grad_norm: 4.8833 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5877 loss: 1.5877 2022/08/03 17:47:38 - mmengine - INFO - Epoch(train) [38][1760/1879] lr: 1.0000e-02 eta: 2 days, 0:44:56 time: 0.4254 data_time: 0.0145 memory: 17087 grad_norm: 4.8120 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7041 loss: 1.7041 2022/08/03 17:47:47 - mmengine - INFO - Epoch(train) [38][1780/1879] lr: 1.0000e-02 eta: 2 days, 0:44:49 time: 0.4441 data_time: 0.0187 memory: 17087 grad_norm: 4.8346 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.8948 loss: 1.8948 2022/08/03 17:47:56 - mmengine - INFO - Epoch(train) [38][1800/1879] lr: 1.0000e-02 eta: 2 days, 0:44:41 time: 0.4317 data_time: 0.0196 memory: 17087 grad_norm: 4.7286 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8515 loss: 1.8515 2022/08/03 17:48:04 - mmengine - INFO - Epoch(train) [38][1820/1879] lr: 1.0000e-02 eta: 2 days, 0:44:33 time: 0.4296 data_time: 0.0173 memory: 17087 grad_norm: 4.7274 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7136 loss: 1.7136 2022/08/03 17:48:13 - mmengine - INFO - Epoch(train) [38][1840/1879] lr: 1.0000e-02 eta: 2 days, 0:44:23 time: 0.4227 data_time: 0.0149 memory: 17087 grad_norm: 4.9105 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7792 loss: 1.7792 2022/08/03 17:48:21 - mmengine - INFO - Epoch(train) [38][1860/1879] lr: 1.0000e-02 eta: 2 days, 0:44:14 time: 0.4246 data_time: 0.0152 memory: 17087 grad_norm: 4.9368 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7430 loss: 1.7430 2022/08/03 17:48:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:48:29 - mmengine - INFO - Epoch(train) [38][1879/1879] lr: 1.0000e-02 eta: 2 days, 0:44:14 time: 0.4279 data_time: 0.0141 memory: 17087 grad_norm: 5.0307 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.8645 loss: 1.8645 2022/08/03 17:48:41 - mmengine - INFO - Epoch(train) [39][20/1879] lr: 1.0000e-02 eta: 2 days, 0:43:26 time: 0.5561 data_time: 0.1200 memory: 17087 grad_norm: 4.8616 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.9025 loss: 1.9025 2022/08/03 17:48:49 - mmengine - INFO - Epoch(train) [39][40/1879] lr: 1.0000e-02 eta: 2 days, 0:43:19 time: 0.4439 data_time: 0.0228 memory: 17087 grad_norm: 4.8543 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6566 loss: 1.6566 2022/08/03 17:48:58 - mmengine - INFO - Epoch(train) [39][60/1879] lr: 1.0000e-02 eta: 2 days, 0:43:10 time: 0.4252 data_time: 0.0148 memory: 17087 grad_norm: 4.8764 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4677 loss: 1.4677 2022/08/03 17:49:07 - mmengine - INFO - Epoch(train) [39][80/1879] lr: 1.0000e-02 eta: 2 days, 0:43:03 time: 0.4459 data_time: 0.0161 memory: 17087 grad_norm: 4.9734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5490 loss: 1.5490 2022/08/03 17:49:15 - mmengine - INFO - Epoch(train) [39][100/1879] lr: 1.0000e-02 eta: 2 days, 0:42:54 time: 0.4237 data_time: 0.0139 memory: 17087 grad_norm: 4.7734 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6134 loss: 1.6134 2022/08/03 17:49:24 - mmengine - INFO - Epoch(train) [39][120/1879] lr: 1.0000e-02 eta: 2 days, 0:42:46 time: 0.4297 data_time: 0.0181 memory: 17087 grad_norm: 4.7422 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6748 loss: 1.6748 2022/08/03 17:49:32 - mmengine - INFO - Epoch(train) [39][140/1879] lr: 1.0000e-02 eta: 2 days, 0:42:37 time: 0.4224 data_time: 0.0132 memory: 17087 grad_norm: 4.7831 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7582 loss: 1.7582 2022/08/03 17:49:41 - mmengine - INFO - Epoch(train) [39][160/1879] lr: 1.0000e-02 eta: 2 days, 0:42:28 time: 0.4266 data_time: 0.0162 memory: 17087 grad_norm: 4.7542 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5054 loss: 1.5054 2022/08/03 17:49:50 - mmengine - INFO - Epoch(train) [39][180/1879] lr: 1.0000e-02 eta: 2 days, 0:42:23 time: 0.4635 data_time: 0.0140 memory: 17087 grad_norm: 4.7160 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5319 loss: 1.5319 2022/08/03 17:49:59 - mmengine - INFO - Epoch(train) [39][200/1879] lr: 1.0000e-02 eta: 2 days, 0:42:15 time: 0.4309 data_time: 0.0218 memory: 17087 grad_norm: 4.7507 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4673 loss: 1.4673 2022/08/03 17:50:08 - mmengine - INFO - Epoch(train) [39][220/1879] lr: 1.0000e-02 eta: 2 days, 0:42:09 time: 0.4491 data_time: 0.0128 memory: 17087 grad_norm: 4.9071 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5591 loss: 1.5591 2022/08/03 17:50:16 - mmengine - INFO - Epoch(train) [39][240/1879] lr: 1.0000e-02 eta: 2 days, 0:42:00 time: 0.4261 data_time: 0.0168 memory: 17087 grad_norm: 4.8535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4559 loss: 1.4559 2022/08/03 17:50:25 - mmengine - INFO - Epoch(train) [39][260/1879] lr: 1.0000e-02 eta: 2 days, 0:41:52 time: 0.4295 data_time: 0.0199 memory: 17087 grad_norm: 4.8214 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6795 loss: 1.6795 2022/08/03 17:50:34 - mmengine - INFO - Epoch(train) [39][280/1879] lr: 1.0000e-02 eta: 2 days, 0:41:43 time: 0.4279 data_time: 0.0169 memory: 17087 grad_norm: 4.8360 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5905 loss: 1.5905 2022/08/03 17:50:42 - mmengine - INFO - Epoch(train) [39][300/1879] lr: 1.0000e-02 eta: 2 days, 0:41:34 time: 0.4240 data_time: 0.0158 memory: 17087 grad_norm: 4.8533 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.9216 loss: 1.9216 2022/08/03 17:50:51 - mmengine - INFO - Epoch(train) [39][320/1879] lr: 1.0000e-02 eta: 2 days, 0:41:26 time: 0.4312 data_time: 0.0151 memory: 17087 grad_norm: 4.8138 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5512 loss: 1.5512 2022/08/03 17:50:59 - mmengine - INFO - Epoch(train) [39][340/1879] lr: 1.0000e-02 eta: 2 days, 0:41:17 time: 0.4256 data_time: 0.0142 memory: 17087 grad_norm: 4.8103 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6765 loss: 1.6765 2022/08/03 17:51:08 - mmengine - INFO - Epoch(train) [39][360/1879] lr: 1.0000e-02 eta: 2 days, 0:41:09 time: 0.4312 data_time: 0.0197 memory: 17087 grad_norm: 4.8316 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5260 loss: 1.5260 2022/08/03 17:51:16 - mmengine - INFO - Epoch(train) [39][380/1879] lr: 1.0000e-02 eta: 2 days, 0:41:00 time: 0.4241 data_time: 0.0146 memory: 17087 grad_norm: 5.0440 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5778 loss: 1.5778 2022/08/03 17:51:25 - mmengine - INFO - Epoch(train) [39][400/1879] lr: 1.0000e-02 eta: 2 days, 0:40:51 time: 0.4310 data_time: 0.0177 memory: 17087 grad_norm: 4.8474 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7155 loss: 1.7155 2022/08/03 17:51:33 - mmengine - INFO - Epoch(train) [39][420/1879] lr: 1.0000e-02 eta: 2 days, 0:40:43 time: 0.4250 data_time: 0.0136 memory: 17087 grad_norm: 4.9305 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5955 loss: 1.5955 2022/08/03 17:51:42 - mmengine - INFO - Epoch(train) [39][440/1879] lr: 1.0000e-02 eta: 2 days, 0:40:34 time: 0.4277 data_time: 0.0165 memory: 17087 grad_norm: 4.9930 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8010 loss: 1.8010 2022/08/03 17:51:51 - mmengine - INFO - Epoch(train) [39][460/1879] lr: 1.0000e-02 eta: 2 days, 0:40:26 time: 0.4299 data_time: 0.0148 memory: 17087 grad_norm: 4.8095 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5810 loss: 1.5810 2022/08/03 17:51:59 - mmengine - INFO - Epoch(train) [39][480/1879] lr: 1.0000e-02 eta: 2 days, 0:40:17 time: 0.4271 data_time: 0.0182 memory: 17087 grad_norm: 5.1287 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6677 loss: 1.6677 2022/08/03 17:52:08 - mmengine - INFO - Epoch(train) [39][500/1879] lr: 1.0000e-02 eta: 2 days, 0:40:10 time: 0.4477 data_time: 0.0131 memory: 17087 grad_norm: 4.7729 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8521 loss: 1.8521 2022/08/03 17:52:17 - mmengine - INFO - Epoch(train) [39][520/1879] lr: 1.0000e-02 eta: 2 days, 0:40:02 time: 0.4275 data_time: 0.0186 memory: 17087 grad_norm: 4.7808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4181 loss: 1.4181 2022/08/03 17:52:25 - mmengine - INFO - Epoch(train) [39][540/1879] lr: 1.0000e-02 eta: 2 days, 0:39:53 time: 0.4281 data_time: 0.0150 memory: 17087 grad_norm: 4.8028 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5428 loss: 1.5428 2022/08/03 17:52:34 - mmengine - INFO - Epoch(train) [39][560/1879] lr: 1.0000e-02 eta: 2 days, 0:39:44 time: 0.4247 data_time: 0.0156 memory: 17087 grad_norm: 4.8696 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7012 loss: 1.7012 2022/08/03 17:52:42 - mmengine - INFO - Epoch(train) [39][580/1879] lr: 1.0000e-02 eta: 2 days, 0:39:36 time: 0.4271 data_time: 0.0178 memory: 17087 grad_norm: 4.7362 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6380 loss: 1.6380 2022/08/03 17:52:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 17:52:51 - mmengine - INFO - Epoch(train) [39][600/1879] lr: 1.0000e-02 eta: 2 days, 0:39:27 time: 0.4302 data_time: 0.0149 memory: 17087 grad_norm: 4.8511 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4578 loss: 1.4578 2022/08/03 17:52:59 - mmengine - INFO - Epoch(train) [39][620/1879] lr: 1.0000e-02 eta: 2 days, 0:39:19 time: 0.4269 data_time: 0.0141 memory: 17087 grad_norm: 4.9278 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6376 loss: 1.6376 2022/08/03 17:53:08 - mmengine - INFO - Epoch(train) [39][640/1879] lr: 1.0000e-02 eta: 2 days, 0:39:10 time: 0.4268 data_time: 0.0165 memory: 17087 grad_norm: 4.9790 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6435 loss: 1.6435 2022/08/03 17:53:16 - mmengine - INFO - Epoch(train) [39][660/1879] lr: 1.0000e-02 eta: 2 days, 0:39:01 time: 0.4247 data_time: 0.0161 memory: 17087 grad_norm: 4.9500 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6306 loss: 1.6306 2022/08/03 17:53:26 - mmengine - INFO - Epoch(train) [39][680/1879] lr: 1.0000e-02 eta: 2 days, 0:38:57 time: 0.4660 data_time: 0.0165 memory: 17087 grad_norm: 4.8367 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7377 loss: 1.7377 2022/08/03 17:53:34 - mmengine - INFO - Epoch(train) [39][700/1879] lr: 1.0000e-02 eta: 2 days, 0:38:47 time: 0.4238 data_time: 0.0119 memory: 17087 grad_norm: 4.7570 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6834 loss: 1.6834 2022/08/03 17:53:43 - mmengine - INFO - Epoch(train) [39][720/1879] lr: 1.0000e-02 eta: 2 days, 0:38:39 time: 0.4298 data_time: 0.0211 memory: 17087 grad_norm: 4.8149 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6461 loss: 1.6461 2022/08/03 17:53:52 - mmengine - INFO - Epoch(train) [39][740/1879] lr: 1.0000e-02 eta: 2 days, 0:38:33 time: 0.4507 data_time: 0.0157 memory: 17087 grad_norm: 4.7313 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5414 loss: 1.5414 2022/08/03 17:54:00 - mmengine - INFO - Epoch(train) [39][760/1879] lr: 1.0000e-02 eta: 2 days, 0:38:25 time: 0.4292 data_time: 0.0216 memory: 17087 grad_norm: 4.9308 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5352 loss: 1.5352 2022/08/03 17:54:10 - mmengine - INFO - Epoch(train) [39][780/1879] lr: 1.0000e-02 eta: 2 days, 0:38:19 time: 0.4542 data_time: 0.0157 memory: 17087 grad_norm: 4.8260 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5867 loss: 1.5867 2022/08/03 17:54:18 - mmengine - INFO - Epoch(train) [39][800/1879] lr: 1.0000e-02 eta: 2 days, 0:38:10 time: 0.4281 data_time: 0.0182 memory: 17087 grad_norm: 4.8570 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7410 loss: 1.7410 2022/08/03 17:54:27 - mmengine - INFO - Epoch(train) [39][820/1879] lr: 1.0000e-02 eta: 2 days, 0:38:01 time: 0.4248 data_time: 0.0171 memory: 17087 grad_norm: 4.9075 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7385 loss: 1.7385 2022/08/03 17:54:35 - mmengine - INFO - Epoch(train) [39][840/1879] lr: 1.0000e-02 eta: 2 days, 0:37:53 time: 0.4273 data_time: 0.0166 memory: 17087 grad_norm: 4.7261 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6212 loss: 1.6212 2022/08/03 17:54:44 - mmengine - INFO - Epoch(train) [39][860/1879] lr: 1.0000e-02 eta: 2 days, 0:37:44 time: 0.4294 data_time: 0.0138 memory: 17087 grad_norm: 4.9129 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6978 loss: 1.6978 2022/08/03 17:54:52 - mmengine - INFO - Epoch(train) [39][880/1879] lr: 1.0000e-02 eta: 2 days, 0:37:36 time: 0.4265 data_time: 0.0174 memory: 17087 grad_norm: 4.7631 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6224 loss: 1.6224 2022/08/03 17:55:01 - mmengine - INFO - Epoch(train) [39][900/1879] lr: 1.0000e-02 eta: 2 days, 0:37:27 time: 0.4283 data_time: 0.0125 memory: 17087 grad_norm: 4.8540 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6688 loss: 1.6688 2022/08/03 17:55:09 - mmengine - INFO - Epoch(train) [39][920/1879] lr: 1.0000e-02 eta: 2 days, 0:37:19 time: 0.4296 data_time: 0.0187 memory: 17087 grad_norm: 4.9257 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7929 loss: 1.7929 2022/08/03 17:55:18 - mmengine - INFO - Epoch(train) [39][940/1879] lr: 1.0000e-02 eta: 2 days, 0:37:11 time: 0.4403 data_time: 0.0129 memory: 17087 grad_norm: 4.8183 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5411 loss: 1.5411 2022/08/03 17:55:27 - mmengine - INFO - Epoch(train) [39][960/1879] lr: 1.0000e-02 eta: 2 days, 0:37:04 time: 0.4375 data_time: 0.0205 memory: 17087 grad_norm: 4.8794 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8780 loss: 1.8780 2022/08/03 17:55:36 - mmengine - INFO - Epoch(train) [39][980/1879] lr: 1.0000e-02 eta: 2 days, 0:36:55 time: 0.4252 data_time: 0.0138 memory: 17087 grad_norm: 4.9727 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7954 loss: 1.7954 2022/08/03 17:55:45 - mmengine - INFO - Epoch(train) [39][1000/1879] lr: 1.0000e-02 eta: 2 days, 0:36:49 time: 0.4506 data_time: 0.0170 memory: 17087 grad_norm: 4.6906 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.5652 loss: 1.5652 2022/08/03 17:55:53 - mmengine - INFO - Epoch(train) [39][1020/1879] lr: 1.0000e-02 eta: 2 days, 0:36:40 time: 0.4239 data_time: 0.0145 memory: 17087 grad_norm: 4.7569 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4970 loss: 1.4970 2022/08/03 17:56:02 - mmengine - INFO - Epoch(train) [39][1040/1879] lr: 1.0000e-02 eta: 2 days, 0:36:31 time: 0.4275 data_time: 0.0164 memory: 17087 grad_norm: 4.9374 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6468 loss: 1.6468 2022/08/03 17:56:10 - mmengine - INFO - Epoch(train) [39][1060/1879] lr: 1.0000e-02 eta: 2 days, 0:36:22 time: 0.4276 data_time: 0.0191 memory: 17087 grad_norm: 5.0948 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7012 loss: 1.7012 2022/08/03 17:56:19 - mmengine - INFO - Epoch(train) [39][1080/1879] lr: 1.0000e-02 eta: 2 days, 0:36:14 time: 0.4267 data_time: 0.0195 memory: 17087 grad_norm: 4.7240 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5361 loss: 1.5361 2022/08/03 17:56:27 - mmengine - INFO - Epoch(train) [39][1100/1879] lr: 1.0000e-02 eta: 2 days, 0:36:05 time: 0.4264 data_time: 0.0153 memory: 17087 grad_norm: 4.7990 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6457 loss: 1.6457 2022/08/03 17:56:36 - mmengine - INFO - Epoch(train) [39][1120/1879] lr: 1.0000e-02 eta: 2 days, 0:35:56 time: 0.4273 data_time: 0.0168 memory: 17087 grad_norm: 4.7547 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5907 loss: 1.5907 2022/08/03 17:56:44 - mmengine - INFO - Epoch(train) [39][1140/1879] lr: 1.0000e-02 eta: 2 days, 0:35:47 time: 0.4252 data_time: 0.0157 memory: 17087 grad_norm: 4.9152 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5915 loss: 1.5915 2022/08/03 17:56:53 - mmengine - INFO - Epoch(train) [39][1160/1879] lr: 1.0000e-02 eta: 2 days, 0:35:39 time: 0.4270 data_time: 0.0178 memory: 17087 grad_norm: 5.0387 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6294 loss: 1.6294 2022/08/03 17:57:01 - mmengine - INFO - Epoch(train) [39][1180/1879] lr: 1.0000e-02 eta: 2 days, 0:35:30 time: 0.4250 data_time: 0.0115 memory: 17087 grad_norm: 4.7956 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4985 loss: 1.4985 2022/08/03 17:57:10 - mmengine - INFO - Epoch(train) [39][1200/1879] lr: 1.0000e-02 eta: 2 days, 0:35:21 time: 0.4278 data_time: 0.0174 memory: 17087 grad_norm: 4.9529 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6529 loss: 1.6529 2022/08/03 17:57:18 - mmengine - INFO - Epoch(train) [39][1220/1879] lr: 1.0000e-02 eta: 2 days, 0:35:12 time: 0.4261 data_time: 0.0134 memory: 17087 grad_norm: 4.9467 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.8200 loss: 1.8200 2022/08/03 17:57:27 - mmengine - INFO - Epoch(train) [39][1240/1879] lr: 1.0000e-02 eta: 2 days, 0:35:04 time: 0.4315 data_time: 0.0181 memory: 17087 grad_norm: 4.8270 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5315 loss: 1.5315 2022/08/03 17:57:36 - mmengine - INFO - Epoch(train) [39][1260/1879] lr: 1.0000e-02 eta: 2 days, 0:34:55 time: 0.4255 data_time: 0.0131 memory: 17087 grad_norm: 4.9347 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8447 loss: 1.8447 2022/08/03 17:57:44 - mmengine - INFO - Epoch(train) [39][1280/1879] lr: 1.0000e-02 eta: 2 days, 0:34:47 time: 0.4294 data_time: 0.0176 memory: 17087 grad_norm: 4.9901 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7845 loss: 1.7845 2022/08/03 17:57:53 - mmengine - INFO - Epoch(train) [39][1300/1879] lr: 1.0000e-02 eta: 2 days, 0:34:38 time: 0.4242 data_time: 0.0134 memory: 17087 grad_norm: 4.9411 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7151 loss: 1.7151 2022/08/03 17:58:01 - mmengine - INFO - Epoch(train) [39][1320/1879] lr: 1.0000e-02 eta: 2 days, 0:34:29 time: 0.4269 data_time: 0.0161 memory: 17087 grad_norm: 4.8990 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5721 loss: 1.5721 2022/08/03 17:58:10 - mmengine - INFO - Epoch(train) [39][1340/1879] lr: 1.0000e-02 eta: 2 days, 0:34:20 time: 0.4245 data_time: 0.0149 memory: 17087 grad_norm: 4.8522 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6030 loss: 1.6030 2022/08/03 17:58:18 - mmengine - INFO - Epoch(train) [39][1360/1879] lr: 1.0000e-02 eta: 2 days, 0:34:12 time: 0.4288 data_time: 0.0159 memory: 17087 grad_norm: 5.0040 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6482 loss: 1.6482 2022/08/03 17:58:27 - mmengine - INFO - Epoch(train) [39][1380/1879] lr: 1.0000e-02 eta: 2 days, 0:34:03 time: 0.4319 data_time: 0.0156 memory: 17087 grad_norm: 5.0534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6761 loss: 1.6761 2022/08/03 17:58:36 - mmengine - INFO - Epoch(train) [39][1400/1879] lr: 1.0000e-02 eta: 2 days, 0:33:56 time: 0.4407 data_time: 0.0143 memory: 17087 grad_norm: 5.0174 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.9346 loss: 1.9346 2022/08/03 17:58:45 - mmengine - INFO - Epoch(train) [39][1420/1879] lr: 1.0000e-02 eta: 2 days, 0:33:49 time: 0.4370 data_time: 0.0195 memory: 17087 grad_norm: 4.9696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4421 loss: 1.4421 2022/08/03 17:58:53 - mmengine - INFO - Epoch(train) [39][1440/1879] lr: 1.0000e-02 eta: 2 days, 0:33:40 time: 0.4255 data_time: 0.0155 memory: 17087 grad_norm: 4.9327 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6229 loss: 1.6229 2022/08/03 17:59:02 - mmengine - INFO - Epoch(train) [39][1460/1879] lr: 1.0000e-02 eta: 2 days, 0:33:33 time: 0.4426 data_time: 0.0150 memory: 17087 grad_norm: 4.8342 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6521 loss: 1.6521 2022/08/03 17:59:10 - mmengine - INFO - Epoch(train) [39][1480/1879] lr: 1.0000e-02 eta: 2 days, 0:33:24 time: 0.4280 data_time: 0.0183 memory: 17087 grad_norm: 4.9458 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5859 loss: 1.5859 2022/08/03 17:59:19 - mmengine - INFO - Epoch(train) [39][1500/1879] lr: 1.0000e-02 eta: 2 days, 0:33:16 time: 0.4280 data_time: 0.0125 memory: 17087 grad_norm: 5.0514 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6370 loss: 1.6370 2022/08/03 17:59:28 - mmengine - INFO - Epoch(train) [39][1520/1879] lr: 1.0000e-02 eta: 2 days, 0:33:07 time: 0.4287 data_time: 0.0154 memory: 17087 grad_norm: 4.9093 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5796 loss: 1.5796 2022/08/03 17:59:36 - mmengine - INFO - Epoch(train) [39][1540/1879] lr: 1.0000e-02 eta: 2 days, 0:32:59 time: 0.4334 data_time: 0.0171 memory: 17087 grad_norm: 4.7888 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5863 loss: 1.5863 2022/08/03 17:59:45 - mmengine - INFO - Epoch(train) [39][1560/1879] lr: 1.0000e-02 eta: 2 days, 0:32:50 time: 0.4282 data_time: 0.0165 memory: 17087 grad_norm: 4.9749 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.9697 loss: 1.9697 2022/08/03 17:59:53 - mmengine - INFO - Epoch(train) [39][1580/1879] lr: 1.0000e-02 eta: 2 days, 0:32:41 time: 0.4241 data_time: 0.0158 memory: 17087 grad_norm: 4.9400 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7287 loss: 1.7287 2022/08/03 18:00:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:00:05 - mmengine - INFO - Epoch(train) [39][1600/1879] lr: 1.0000e-02 eta: 2 days, 0:32:51 time: 0.5924 data_time: 0.0217 memory: 17087 grad_norm: 4.9886 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8880 loss: 1.8880 2022/08/03 18:00:14 - mmengine - INFO - Epoch(train) [39][1620/1879] lr: 1.0000e-02 eta: 2 days, 0:32:42 time: 0.4267 data_time: 0.0167 memory: 17087 grad_norm: 4.8680 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5241 loss: 1.5241 2022/08/03 18:00:22 - mmengine - INFO - Epoch(train) [39][1640/1879] lr: 1.0000e-02 eta: 2 days, 0:32:34 time: 0.4258 data_time: 0.0152 memory: 17087 grad_norm: 4.9451 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6974 loss: 1.6974 2022/08/03 18:00:31 - mmengine - INFO - Epoch(train) [39][1660/1879] lr: 1.0000e-02 eta: 2 days, 0:32:25 time: 0.4249 data_time: 0.0148 memory: 17087 grad_norm: 4.9036 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7515 loss: 1.7515 2022/08/03 18:00:40 - mmengine - INFO - Epoch(train) [39][1680/1879] lr: 1.0000e-02 eta: 2 days, 0:32:20 time: 0.4602 data_time: 0.0178 memory: 17087 grad_norm: 4.7577 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7654 loss: 1.7654 2022/08/03 18:00:48 - mmengine - INFO - Epoch(train) [39][1700/1879] lr: 1.0000e-02 eta: 2 days, 0:32:11 time: 0.4243 data_time: 0.0169 memory: 17087 grad_norm: 4.7081 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6710 loss: 1.6710 2022/08/03 18:00:57 - mmengine - INFO - Epoch(train) [39][1720/1879] lr: 1.0000e-02 eta: 2 days, 0:32:03 time: 0.4357 data_time: 0.0144 memory: 17087 grad_norm: 4.9027 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.8683 loss: 1.8683 2022/08/03 18:01:06 - mmengine - INFO - Epoch(train) [39][1740/1879] lr: 1.0000e-02 eta: 2 days, 0:31:54 time: 0.4270 data_time: 0.0160 memory: 17087 grad_norm: 4.9011 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7095 loss: 1.7095 2022/08/03 18:01:14 - mmengine - INFO - Epoch(train) [39][1760/1879] lr: 1.0000e-02 eta: 2 days, 0:31:46 time: 0.4274 data_time: 0.0142 memory: 17087 grad_norm: 4.7649 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5635 loss: 1.5635 2022/08/03 18:01:23 - mmengine - INFO - Epoch(train) [39][1780/1879] lr: 1.0000e-02 eta: 2 days, 0:31:38 time: 0.4368 data_time: 0.0168 memory: 17087 grad_norm: 4.8331 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6328 loss: 1.6328 2022/08/03 18:01:32 - mmengine - INFO - Epoch(train) [39][1800/1879] lr: 1.0000e-02 eta: 2 days, 0:31:29 time: 0.4289 data_time: 0.0134 memory: 17087 grad_norm: 4.9619 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7361 loss: 1.7361 2022/08/03 18:01:41 - mmengine - INFO - Epoch(train) [39][1820/1879] lr: 1.0000e-02 eta: 2 days, 0:31:23 time: 0.4509 data_time: 0.0155 memory: 17087 grad_norm: 4.9186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8866 loss: 1.8866 2022/08/03 18:01:49 - mmengine - INFO - Epoch(train) [39][1840/1879] lr: 1.0000e-02 eta: 2 days, 0:31:15 time: 0.4274 data_time: 0.0145 memory: 17087 grad_norm: 4.9652 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5709 loss: 1.5709 2022/08/03 18:01:58 - mmengine - INFO - Epoch(train) [39][1860/1879] lr: 1.0000e-02 eta: 2 days, 0:31:06 time: 0.4312 data_time: 0.0170 memory: 17087 grad_norm: 4.8431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5344 loss: 1.5344 2022/08/03 18:02:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:02:05 - mmengine - INFO - Epoch(train) [39][1879/1879] lr: 1.0000e-02 eta: 2 days, 0:31:06 time: 0.4056 data_time: 0.0131 memory: 17087 grad_norm: 4.9611 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7506 loss: 1.7506 2022/08/03 18:02:17 - mmengine - INFO - Epoch(train) [40][20/1879] lr: 1.0000e-02 eta: 2 days, 0:30:19 time: 0.5564 data_time: 0.1091 memory: 17087 grad_norm: 4.7829 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5336 loss: 1.5336 2022/08/03 18:02:25 - mmengine - INFO - Epoch(train) [40][40/1879] lr: 1.0000e-02 eta: 2 days, 0:30:10 time: 0.4290 data_time: 0.0187 memory: 17087 grad_norm: 4.9313 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7392 loss: 1.7392 2022/08/03 18:02:34 - mmengine - INFO - Epoch(train) [40][60/1879] lr: 1.0000e-02 eta: 2 days, 0:30:01 time: 0.4231 data_time: 0.0130 memory: 17087 grad_norm: 4.8679 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6713 loss: 1.6713 2022/08/03 18:02:42 - mmengine - INFO - Epoch(train) [40][80/1879] lr: 1.0000e-02 eta: 2 days, 0:29:53 time: 0.4298 data_time: 0.0191 memory: 17087 grad_norm: 4.8206 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6892 loss: 1.6892 2022/08/03 18:02:51 - mmengine - INFO - Epoch(train) [40][100/1879] lr: 1.0000e-02 eta: 2 days, 0:29:45 time: 0.4381 data_time: 0.0132 memory: 17087 grad_norm: 4.9018 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5361 loss: 1.5361 2022/08/03 18:03:00 - mmengine - INFO - Epoch(train) [40][120/1879] lr: 1.0000e-02 eta: 2 days, 0:29:36 time: 0.4253 data_time: 0.0163 memory: 17087 grad_norm: 4.8657 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8055 loss: 1.8055 2022/08/03 18:03:08 - mmengine - INFO - Epoch(train) [40][140/1879] lr: 1.0000e-02 eta: 2 days, 0:29:28 time: 0.4312 data_time: 0.0124 memory: 17087 grad_norm: 4.7819 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5542 loss: 1.5542 2022/08/03 18:03:17 - mmengine - INFO - Epoch(train) [40][160/1879] lr: 1.0000e-02 eta: 2 days, 0:29:20 time: 0.4290 data_time: 0.0173 memory: 17087 grad_norm: 5.0867 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6753 loss: 1.6753 2022/08/03 18:03:25 - mmengine - INFO - Epoch(train) [40][180/1879] lr: 1.0000e-02 eta: 2 days, 0:29:10 time: 0.4239 data_time: 0.0135 memory: 17087 grad_norm: 4.7196 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7107 loss: 1.7107 2022/08/03 18:03:34 - mmengine - INFO - Epoch(train) [40][200/1879] lr: 1.0000e-02 eta: 2 days, 0:29:02 time: 0.4253 data_time: 0.0167 memory: 17087 grad_norm: 4.8216 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5774 loss: 1.5774 2022/08/03 18:03:42 - mmengine - INFO - Epoch(train) [40][220/1879] lr: 1.0000e-02 eta: 2 days, 0:28:53 time: 0.4252 data_time: 0.0143 memory: 17087 grad_norm: 4.7759 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7162 loss: 1.7162 2022/08/03 18:03:51 - mmengine - INFO - Epoch(train) [40][240/1879] lr: 1.0000e-02 eta: 2 days, 0:28:44 time: 0.4262 data_time: 0.0176 memory: 17087 grad_norm: 4.7829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5977 loss: 1.5977 2022/08/03 18:04:00 - mmengine - INFO - Epoch(train) [40][260/1879] lr: 1.0000e-02 eta: 2 days, 0:28:36 time: 0.4312 data_time: 0.0147 memory: 17087 grad_norm: 4.7919 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7913 loss: 1.7913 2022/08/03 18:04:08 - mmengine - INFO - Epoch(train) [40][280/1879] lr: 1.0000e-02 eta: 2 days, 0:28:27 time: 0.4270 data_time: 0.0169 memory: 17087 grad_norm: 4.9654 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6329 loss: 1.6329 2022/08/03 18:04:17 - mmengine - INFO - Epoch(train) [40][300/1879] lr: 1.0000e-02 eta: 2 days, 0:28:19 time: 0.4370 data_time: 0.0155 memory: 17087 grad_norm: 4.8935 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7345 loss: 1.7345 2022/08/03 18:04:25 - mmengine - INFO - Epoch(train) [40][320/1879] lr: 1.0000e-02 eta: 2 days, 0:28:11 time: 0.4275 data_time: 0.0162 memory: 17087 grad_norm: 4.8078 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7011 loss: 1.7011 2022/08/03 18:04:34 - mmengine - INFO - Epoch(train) [40][340/1879] lr: 1.0000e-02 eta: 2 days, 0:28:02 time: 0.4281 data_time: 0.0184 memory: 17087 grad_norm: 4.8582 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7711 loss: 1.7711 2022/08/03 18:04:42 - mmengine - INFO - Epoch(train) [40][360/1879] lr: 1.0000e-02 eta: 2 days, 0:27:53 time: 0.4277 data_time: 0.0163 memory: 17087 grad_norm: 4.9013 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6980 loss: 1.6980 2022/08/03 18:04:51 - mmengine - INFO - Epoch(train) [40][380/1879] lr: 1.0000e-02 eta: 2 days, 0:27:44 time: 0.4233 data_time: 0.0118 memory: 17087 grad_norm: 4.9906 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7445 loss: 1.7445 2022/08/03 18:05:00 - mmengine - INFO - Epoch(train) [40][400/1879] lr: 1.0000e-02 eta: 2 days, 0:27:36 time: 0.4281 data_time: 0.0163 memory: 17087 grad_norm: 4.7980 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7601 loss: 1.7601 2022/08/03 18:05:08 - mmengine - INFO - Epoch(train) [40][420/1879] lr: 1.0000e-02 eta: 2 days, 0:27:27 time: 0.4224 data_time: 0.0137 memory: 17087 grad_norm: 4.8589 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7684 loss: 1.7684 2022/08/03 18:05:17 - mmengine - INFO - Epoch(train) [40][440/1879] lr: 1.0000e-02 eta: 2 days, 0:27:19 time: 0.4344 data_time: 0.0172 memory: 17087 grad_norm: 4.8411 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.9036 loss: 1.9036 2022/08/03 18:05:25 - mmengine - INFO - Epoch(train) [40][460/1879] lr: 1.0000e-02 eta: 2 days, 0:27:10 time: 0.4247 data_time: 0.0136 memory: 17087 grad_norm: 4.8131 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5288 loss: 1.5288 2022/08/03 18:05:34 - mmengine - INFO - Epoch(train) [40][480/1879] lr: 1.0000e-02 eta: 2 days, 0:27:01 time: 0.4265 data_time: 0.0161 memory: 17087 grad_norm: 4.7809 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6536 loss: 1.6536 2022/08/03 18:05:43 - mmengine - INFO - Epoch(train) [40][500/1879] lr: 1.0000e-02 eta: 2 days, 0:26:54 time: 0.4462 data_time: 0.0159 memory: 17087 grad_norm: 4.8641 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7388 loss: 1.7388 2022/08/03 18:05:51 - mmengine - INFO - Epoch(train) [40][520/1879] lr: 1.0000e-02 eta: 2 days, 0:26:46 time: 0.4276 data_time: 0.0166 memory: 17087 grad_norm: 4.8004 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5300 loss: 1.5300 2022/08/03 18:06:00 - mmengine - INFO - Epoch(train) [40][540/1879] lr: 1.0000e-02 eta: 2 days, 0:26:40 time: 0.4539 data_time: 0.0159 memory: 17087 grad_norm: 4.9734 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5936 loss: 1.5936 2022/08/03 18:06:09 - mmengine - INFO - Epoch(train) [40][560/1879] lr: 1.0000e-02 eta: 2 days, 0:26:31 time: 0.4262 data_time: 0.0171 memory: 17087 grad_norm: 4.7749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6787 loss: 1.6787 2022/08/03 18:06:17 - mmengine - INFO - Epoch(train) [40][580/1879] lr: 1.0000e-02 eta: 2 days, 0:26:23 time: 0.4277 data_time: 0.0152 memory: 17087 grad_norm: 5.0080 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8141 loss: 1.8141 2022/08/03 18:06:26 - mmengine - INFO - Epoch(train) [40][600/1879] lr: 1.0000e-02 eta: 2 days, 0:26:14 time: 0.4257 data_time: 0.0162 memory: 17087 grad_norm: 4.9961 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6993 loss: 1.6993 2022/08/03 18:06:34 - mmengine - INFO - Epoch(train) [40][620/1879] lr: 1.0000e-02 eta: 2 days, 0:26:05 time: 0.4241 data_time: 0.0152 memory: 17087 grad_norm: 5.2351 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7790 loss: 1.7790 2022/08/03 18:06:43 - mmengine - INFO - Epoch(train) [40][640/1879] lr: 1.0000e-02 eta: 2 days, 0:25:57 time: 0.4343 data_time: 0.0163 memory: 17087 grad_norm: 5.0120 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7497 loss: 1.7497 2022/08/03 18:06:52 - mmengine - INFO - Epoch(train) [40][660/1879] lr: 1.0000e-02 eta: 2 days, 0:25:48 time: 0.4251 data_time: 0.0126 memory: 17087 grad_norm: 4.8896 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6824 loss: 1.6824 2022/08/03 18:07:00 - mmengine - INFO - Epoch(train) [40][680/1879] lr: 1.0000e-02 eta: 2 days, 0:25:40 time: 0.4313 data_time: 0.0178 memory: 17087 grad_norm: 5.0675 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5542 loss: 1.5542 2022/08/03 18:07:09 - mmengine - INFO - Epoch(train) [40][700/1879] lr: 1.0000e-02 eta: 2 days, 0:25:30 time: 0.4227 data_time: 0.0151 memory: 17087 grad_norm: 4.8324 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7197 loss: 1.7197 2022/08/03 18:07:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:07:17 - mmengine - INFO - Epoch(train) [40][720/1879] lr: 1.0000e-02 eta: 2 days, 0:25:22 time: 0.4277 data_time: 0.0163 memory: 17087 grad_norm: 4.7815 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5584 loss: 1.5584 2022/08/03 18:07:26 - mmengine - INFO - Epoch(train) [40][740/1879] lr: 1.0000e-02 eta: 2 days, 0:25:13 time: 0.4227 data_time: 0.0139 memory: 17087 grad_norm: 4.9160 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5807 loss: 1.5807 2022/08/03 18:07:34 - mmengine - INFO - Epoch(train) [40][760/1879] lr: 1.0000e-02 eta: 2 days, 0:25:04 time: 0.4259 data_time: 0.0178 memory: 17087 grad_norm: 4.8959 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6368 loss: 1.6368 2022/08/03 18:07:43 - mmengine - INFO - Epoch(train) [40][780/1879] lr: 1.0000e-02 eta: 2 days, 0:24:57 time: 0.4473 data_time: 0.0142 memory: 17087 grad_norm: 4.8050 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5784 loss: 1.5784 2022/08/03 18:07:52 - mmengine - INFO - Epoch(train) [40][800/1879] lr: 1.0000e-02 eta: 2 days, 0:24:49 time: 0.4265 data_time: 0.0155 memory: 17087 grad_norm: 4.8818 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6432 loss: 1.6432 2022/08/03 18:08:01 - mmengine - INFO - Epoch(train) [40][820/1879] lr: 1.0000e-02 eta: 2 days, 0:24:43 time: 0.4560 data_time: 0.0144 memory: 17087 grad_norm: 5.0191 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8398 loss: 1.8398 2022/08/03 18:08:09 - mmengine - INFO - Epoch(train) [40][840/1879] lr: 1.0000e-02 eta: 2 days, 0:24:34 time: 0.4260 data_time: 0.0162 memory: 17087 grad_norm: 4.8316 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6540 loss: 1.6540 2022/08/03 18:08:18 - mmengine - INFO - Epoch(train) [40][860/1879] lr: 1.0000e-02 eta: 2 days, 0:24:28 time: 0.4468 data_time: 0.0146 memory: 17087 grad_norm: 4.9005 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.7105 loss: 1.7105 2022/08/03 18:08:27 - mmengine - INFO - Epoch(train) [40][880/1879] lr: 1.0000e-02 eta: 2 days, 0:24:19 time: 0.4277 data_time: 0.0172 memory: 17087 grad_norm: 4.8571 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6480 loss: 1.6480 2022/08/03 18:08:36 - mmengine - INFO - Epoch(train) [40][900/1879] lr: 1.0000e-02 eta: 2 days, 0:24:12 time: 0.4452 data_time: 0.0143 memory: 17087 grad_norm: 4.7545 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.6241 loss: 1.6241 2022/08/03 18:08:44 - mmengine - INFO - Epoch(train) [40][920/1879] lr: 1.0000e-02 eta: 2 days, 0:24:03 time: 0.4225 data_time: 0.0152 memory: 17087 grad_norm: 4.7507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6296 loss: 1.6296 2022/08/03 18:08:53 - mmengine - INFO - Epoch(train) [40][940/1879] lr: 1.0000e-02 eta: 2 days, 0:23:54 time: 0.4268 data_time: 0.0182 memory: 17087 grad_norm: 4.8766 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6998 loss: 1.6998 2022/08/03 18:09:02 - mmengine - INFO - Epoch(train) [40][960/1879] lr: 1.0000e-02 eta: 2 days, 0:23:48 time: 0.4464 data_time: 0.0169 memory: 17087 grad_norm: 4.9400 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6312 loss: 1.6312 2022/08/03 18:09:10 - mmengine - INFO - Epoch(train) [40][980/1879] lr: 1.0000e-02 eta: 2 days, 0:23:40 time: 0.4309 data_time: 0.0205 memory: 17087 grad_norm: 4.8362 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5828 loss: 1.5828 2022/08/03 18:09:19 - mmengine - INFO - Epoch(train) [40][1000/1879] lr: 1.0000e-02 eta: 2 days, 0:23:33 time: 0.4498 data_time: 0.0158 memory: 17087 grad_norm: 4.9876 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8370 loss: 1.8370 2022/08/03 18:09:28 - mmengine - INFO - Epoch(train) [40][1020/1879] lr: 1.0000e-02 eta: 2 days, 0:23:24 time: 0.4233 data_time: 0.0150 memory: 17087 grad_norm: 4.8524 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5856 loss: 1.5856 2022/08/03 18:09:37 - mmengine - INFO - Epoch(train) [40][1040/1879] lr: 1.0000e-02 eta: 2 days, 0:23:18 time: 0.4494 data_time: 0.0165 memory: 17087 grad_norm: 4.9300 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6728 loss: 1.6728 2022/08/03 18:09:45 - mmengine - INFO - Epoch(train) [40][1060/1879] lr: 1.0000e-02 eta: 2 days, 0:23:09 time: 0.4222 data_time: 0.0132 memory: 17087 grad_norm: 5.0775 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5287 loss: 1.5287 2022/08/03 18:09:54 - mmengine - INFO - Epoch(train) [40][1080/1879] lr: 1.0000e-02 eta: 2 days, 0:23:01 time: 0.4322 data_time: 0.0215 memory: 17087 grad_norm: 4.7986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7000 loss: 1.7000 2022/08/03 18:10:02 - mmengine - INFO - Epoch(train) [40][1100/1879] lr: 1.0000e-02 eta: 2 days, 0:22:52 time: 0.4246 data_time: 0.0136 memory: 17087 grad_norm: 4.9855 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7928 loss: 1.7928 2022/08/03 18:10:11 - mmengine - INFO - Epoch(train) [40][1120/1879] lr: 1.0000e-02 eta: 2 days, 0:22:43 time: 0.4267 data_time: 0.0166 memory: 17087 grad_norm: 4.9023 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5349 loss: 1.5349 2022/08/03 18:10:19 - mmengine - INFO - Epoch(train) [40][1140/1879] lr: 1.0000e-02 eta: 2 days, 0:22:34 time: 0.4270 data_time: 0.0144 memory: 17087 grad_norm: 4.9673 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6655 loss: 1.6655 2022/08/03 18:10:28 - mmengine - INFO - Epoch(train) [40][1160/1879] lr: 1.0000e-02 eta: 2 days, 0:22:25 time: 0.4260 data_time: 0.0170 memory: 17087 grad_norm: 4.7409 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6914 loss: 1.6914 2022/08/03 18:10:37 - mmengine - INFO - Epoch(train) [40][1180/1879] lr: 1.0000e-02 eta: 2 days, 0:22:17 time: 0.4305 data_time: 0.0140 memory: 17087 grad_norm: 4.9998 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5315 loss: 1.5315 2022/08/03 18:10:45 - mmengine - INFO - Epoch(train) [40][1200/1879] lr: 1.0000e-02 eta: 2 days, 0:22:09 time: 0.4319 data_time: 0.0160 memory: 17087 grad_norm: 4.8502 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 2.0174 loss: 2.0174 2022/08/03 18:10:54 - mmengine - INFO - Epoch(train) [40][1220/1879] lr: 1.0000e-02 eta: 2 days, 0:22:01 time: 0.4309 data_time: 0.0137 memory: 17087 grad_norm: 4.8843 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4949 loss: 1.4949 2022/08/03 18:11:03 - mmengine - INFO - Epoch(train) [40][1240/1879] lr: 1.0000e-02 eta: 2 days, 0:21:54 time: 0.4485 data_time: 0.0157 memory: 17087 grad_norm: 5.1187 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8140 loss: 1.8140 2022/08/03 18:11:11 - mmengine - INFO - Epoch(train) [40][1260/1879] lr: 1.0000e-02 eta: 2 days, 0:21:45 time: 0.4266 data_time: 0.0146 memory: 17087 grad_norm: 4.9149 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8524 loss: 1.8524 2022/08/03 18:11:20 - mmengine - INFO - Epoch(train) [40][1280/1879] lr: 1.0000e-02 eta: 2 days, 0:21:37 time: 0.4326 data_time: 0.0152 memory: 17087 grad_norm: 4.7933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5553 loss: 1.5553 2022/08/03 18:11:29 - mmengine - INFO - Epoch(train) [40][1300/1879] lr: 1.0000e-02 eta: 2 days, 0:21:29 time: 0.4287 data_time: 0.0148 memory: 17087 grad_norm: 4.9157 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6717 loss: 1.6717 2022/08/03 18:11:38 - mmengine - INFO - Epoch(train) [40][1320/1879] lr: 1.0000e-02 eta: 2 days, 0:21:22 time: 0.4472 data_time: 0.0166 memory: 17087 grad_norm: 5.0042 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6290 loss: 1.6290 2022/08/03 18:11:46 - mmengine - INFO - Epoch(train) [40][1340/1879] lr: 1.0000e-02 eta: 2 days, 0:21:13 time: 0.4245 data_time: 0.0158 memory: 17087 grad_norm: 4.9460 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5908 loss: 1.5908 2022/08/03 18:11:55 - mmengine - INFO - Epoch(train) [40][1360/1879] lr: 1.0000e-02 eta: 2 days, 0:21:04 time: 0.4257 data_time: 0.0149 memory: 17087 grad_norm: 4.9691 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6086 loss: 1.6086 2022/08/03 18:12:03 - mmengine - INFO - Epoch(train) [40][1380/1879] lr: 1.0000e-02 eta: 2 days, 0:20:57 time: 0.4371 data_time: 0.0153 memory: 17087 grad_norm: 4.7533 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6952 loss: 1.6952 2022/08/03 18:12:12 - mmengine - INFO - Epoch(train) [40][1400/1879] lr: 1.0000e-02 eta: 2 days, 0:20:50 time: 0.4460 data_time: 0.0151 memory: 17087 grad_norm: 4.7878 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6177 loss: 1.6177 2022/08/03 18:12:21 - mmengine - INFO - Epoch(train) [40][1420/1879] lr: 1.0000e-02 eta: 2 days, 0:20:41 time: 0.4245 data_time: 0.0122 memory: 17087 grad_norm: 4.9758 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8677 loss: 1.8677 2022/08/03 18:12:29 - mmengine - INFO - Epoch(train) [40][1440/1879] lr: 1.0000e-02 eta: 2 days, 0:20:33 time: 0.4287 data_time: 0.0171 memory: 17087 grad_norm: 4.8951 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5504 loss: 1.5504 2022/08/03 18:12:38 - mmengine - INFO - Epoch(train) [40][1460/1879] lr: 1.0000e-02 eta: 2 days, 0:20:24 time: 0.4234 data_time: 0.0127 memory: 17087 grad_norm: 4.9898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6341 loss: 1.6341 2022/08/03 18:12:47 - mmengine - INFO - Epoch(train) [40][1480/1879] lr: 1.0000e-02 eta: 2 days, 0:20:18 time: 0.4551 data_time: 0.0234 memory: 17087 grad_norm: 4.9800 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.8357 loss: 1.8357 2022/08/03 18:12:55 - mmengine - INFO - Epoch(train) [40][1500/1879] lr: 1.0000e-02 eta: 2 days, 0:20:09 time: 0.4233 data_time: 0.0124 memory: 17087 grad_norm: 4.9883 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6534 loss: 1.6534 2022/08/03 18:13:04 - mmengine - INFO - Epoch(train) [40][1520/1879] lr: 1.0000e-02 eta: 2 days, 0:20:00 time: 0.4273 data_time: 0.0164 memory: 17087 grad_norm: 4.8282 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5392 loss: 1.5392 2022/08/03 18:13:13 - mmengine - INFO - Epoch(train) [40][1540/1879] lr: 1.0000e-02 eta: 2 days, 0:19:52 time: 0.4319 data_time: 0.0145 memory: 17087 grad_norm: 4.7839 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6309 loss: 1.6309 2022/08/03 18:13:21 - mmengine - INFO - Epoch(train) [40][1560/1879] lr: 1.0000e-02 eta: 2 days, 0:19:43 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 4.8709 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6695 loss: 1.6695 2022/08/03 18:13:30 - mmengine - INFO - Epoch(train) [40][1580/1879] lr: 1.0000e-02 eta: 2 days, 0:19:38 time: 0.4642 data_time: 0.0162 memory: 17087 grad_norm: 4.9144 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4935 loss: 1.4935 2022/08/03 18:13:39 - mmengine - INFO - Epoch(train) [40][1600/1879] lr: 1.0000e-02 eta: 2 days, 0:19:30 time: 0.4257 data_time: 0.0157 memory: 17087 grad_norm: 4.7712 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7418 loss: 1.7418 2022/08/03 18:13:48 - mmengine - INFO - Epoch(train) [40][1620/1879] lr: 1.0000e-02 eta: 2 days, 0:19:24 time: 0.4536 data_time: 0.0258 memory: 17087 grad_norm: 4.9070 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5903 loss: 1.5903 2022/08/03 18:13:57 - mmengine - INFO - Epoch(train) [40][1640/1879] lr: 1.0000e-02 eta: 2 days, 0:19:15 time: 0.4263 data_time: 0.0164 memory: 17087 grad_norm: 4.8454 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7703 loss: 1.7703 2022/08/03 18:14:05 - mmengine - INFO - Epoch(train) [40][1660/1879] lr: 1.0000e-02 eta: 2 days, 0:19:06 time: 0.4227 data_time: 0.0130 memory: 17087 grad_norm: 4.7888 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5228 loss: 1.5228 2022/08/03 18:14:14 - mmengine - INFO - Epoch(train) [40][1680/1879] lr: 1.0000e-02 eta: 2 days, 0:18:59 time: 0.4447 data_time: 0.0180 memory: 17087 grad_norm: 4.7851 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5766 loss: 1.5766 2022/08/03 18:14:23 - mmengine - INFO - Epoch(train) [40][1700/1879] lr: 1.0000e-02 eta: 2 days, 0:18:53 time: 0.4507 data_time: 0.0154 memory: 17087 grad_norm: 4.9951 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7907 loss: 1.7907 2022/08/03 18:14:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:14:32 - mmengine - INFO - Epoch(train) [40][1720/1879] lr: 1.0000e-02 eta: 2 days, 0:18:46 time: 0.4474 data_time: 0.0165 memory: 17087 grad_norm: 4.7705 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7972 loss: 1.7972 2022/08/03 18:14:40 - mmengine - INFO - Epoch(train) [40][1740/1879] lr: 1.0000e-02 eta: 2 days, 0:18:38 time: 0.4300 data_time: 0.0171 memory: 17087 grad_norm: 4.9416 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8504 loss: 1.8504 2022/08/03 18:14:49 - mmengine - INFO - Epoch(train) [40][1760/1879] lr: 1.0000e-02 eta: 2 days, 0:18:30 time: 0.4322 data_time: 0.0164 memory: 17087 grad_norm: 4.8851 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7513 loss: 1.7513 2022/08/03 18:14:58 - mmengine - INFO - Epoch(train) [40][1780/1879] lr: 1.0000e-02 eta: 2 days, 0:18:21 time: 0.4296 data_time: 0.0158 memory: 17087 grad_norm: 5.0695 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7792 loss: 1.7792 2022/08/03 18:15:06 - mmengine - INFO - Epoch(train) [40][1800/1879] lr: 1.0000e-02 eta: 2 days, 0:18:13 time: 0.4276 data_time: 0.0170 memory: 17087 grad_norm: 4.7671 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7048 loss: 1.7048 2022/08/03 18:15:15 - mmengine - INFO - Epoch(train) [40][1820/1879] lr: 1.0000e-02 eta: 2 days, 0:18:04 time: 0.4240 data_time: 0.0148 memory: 17087 grad_norm: 4.7654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8145 loss: 1.8145 2022/08/03 18:15:23 - mmengine - INFO - Epoch(train) [40][1840/1879] lr: 1.0000e-02 eta: 2 days, 0:17:55 time: 0.4276 data_time: 0.0172 memory: 17087 grad_norm: 4.9644 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6313 loss: 1.6313 2022/08/03 18:15:32 - mmengine - INFO - Epoch(train) [40][1860/1879] lr: 1.0000e-02 eta: 2 days, 0:17:47 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 4.7117 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8748 loss: 1.8748 2022/08/03 18:15:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:15:40 - mmengine - INFO - Epoch(train) [40][1879/1879] lr: 1.0000e-02 eta: 2 days, 0:17:47 time: 0.4074 data_time: 0.0155 memory: 17087 grad_norm: 4.9473 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.6167 loss: 1.6167 2022/08/03 18:15:40 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/03 18:15:50 - mmengine - INFO - Epoch(val) [40][20/155] eta: 0:00:48 time: 0.3614 data_time: 0.1937 memory: 2821 2022/08/03 18:15:55 - mmengine - INFO - Epoch(val) [40][40/155] eta: 0:00:28 time: 0.2506 data_time: 0.0845 memory: 2821 2022/08/03 18:16:01 - mmengine - INFO - Epoch(val) [40][60/155] eta: 0:00:29 time: 0.3074 data_time: 0.1392 memory: 2821 2022/08/03 18:16:07 - mmengine - INFO - Epoch(val) [40][80/155] eta: 0:00:20 time: 0.2794 data_time: 0.0988 memory: 2821 2022/08/03 18:16:13 - mmengine - INFO - Epoch(val) [40][100/155] eta: 0:00:16 time: 0.3024 data_time: 0.1344 memory: 2821 2022/08/03 18:16:18 - mmengine - INFO - Epoch(val) [40][120/155] eta: 0:00:09 time: 0.2692 data_time: 0.1003 memory: 2821 2022/08/03 18:16:25 - mmengine - INFO - Epoch(val) [40][140/155] eta: 0:00:04 time: 0.3129 data_time: 0.1479 memory: 2821 2022/08/03 18:16:29 - mmengine - INFO - Epoch(val) [40][155/155] acc/top1: 0.6414 acc/top5: 0.8549 acc/mean1: 0.6414 2022/08/03 18:16:40 - mmengine - INFO - Epoch(train) [41][20/1879] lr: 1.0000e-02 eta: 2 days, 0:16:59 time: 0.5480 data_time: 0.1059 memory: 17087 grad_norm: 4.9554 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7473 loss: 1.7473 2022/08/03 18:16:49 - mmengine - INFO - Epoch(train) [41][40/1879] lr: 1.0000e-02 eta: 2 days, 0:16:50 time: 0.4265 data_time: 0.0165 memory: 17087 grad_norm: 4.8772 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6675 loss: 1.6675 2022/08/03 18:16:57 - mmengine - INFO - Epoch(train) [41][60/1879] lr: 1.0000e-02 eta: 2 days, 0:16:41 time: 0.4234 data_time: 0.0142 memory: 17087 grad_norm: 4.8249 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4771 loss: 1.4771 2022/08/03 18:17:06 - mmengine - INFO - Epoch(train) [41][80/1879] lr: 1.0000e-02 eta: 2 days, 0:16:32 time: 0.4259 data_time: 0.0161 memory: 17087 grad_norm: 4.8881 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7222 loss: 1.7222 2022/08/03 18:17:15 - mmengine - INFO - Epoch(train) [41][100/1879] lr: 1.0000e-02 eta: 2 days, 0:16:25 time: 0.4384 data_time: 0.0126 memory: 17087 grad_norm: 4.8623 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8455 loss: 1.8455 2022/08/03 18:17:23 - mmengine - INFO - Epoch(train) [41][120/1879] lr: 1.0000e-02 eta: 2 days, 0:16:16 time: 0.4298 data_time: 0.0225 memory: 17087 grad_norm: 4.8683 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6315 loss: 1.6315 2022/08/03 18:17:32 - mmengine - INFO - Epoch(train) [41][140/1879] lr: 1.0000e-02 eta: 2 days, 0:16:09 time: 0.4416 data_time: 0.0144 memory: 17087 grad_norm: 4.8460 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5295 loss: 1.5295 2022/08/03 18:17:41 - mmengine - INFO - Epoch(train) [41][160/1879] lr: 1.0000e-02 eta: 2 days, 0:16:01 time: 0.4319 data_time: 0.0202 memory: 17087 grad_norm: 4.8785 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7089 loss: 1.7089 2022/08/03 18:17:49 - mmengine - INFO - Epoch(train) [41][180/1879] lr: 1.0000e-02 eta: 2 days, 0:15:54 time: 0.4435 data_time: 0.0150 memory: 17087 grad_norm: 4.7609 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4053 loss: 1.4053 2022/08/03 18:17:58 - mmengine - INFO - Epoch(train) [41][200/1879] lr: 1.0000e-02 eta: 2 days, 0:15:46 time: 0.4286 data_time: 0.0160 memory: 17087 grad_norm: 4.7305 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4575 loss: 1.4575 2022/08/03 18:18:07 - mmengine - INFO - Epoch(train) [41][220/1879] lr: 1.0000e-02 eta: 2 days, 0:15:38 time: 0.4334 data_time: 0.0159 memory: 17087 grad_norm: 4.8358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6781 loss: 1.6781 2022/08/03 18:18:15 - mmengine - INFO - Epoch(train) [41][240/1879] lr: 1.0000e-02 eta: 2 days, 0:15:29 time: 0.4244 data_time: 0.0151 memory: 17087 grad_norm: 5.0770 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6094 loss: 1.6094 2022/08/03 18:18:24 - mmengine - INFO - Epoch(train) [41][260/1879] lr: 1.0000e-02 eta: 2 days, 0:15:20 time: 0.4247 data_time: 0.0134 memory: 17087 grad_norm: 4.8379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5941 loss: 1.5941 2022/08/03 18:18:32 - mmengine - INFO - Epoch(train) [41][280/1879] lr: 1.0000e-02 eta: 2 days, 0:15:11 time: 0.4281 data_time: 0.0149 memory: 17087 grad_norm: 4.8945 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5981 loss: 1.5981 2022/08/03 18:18:41 - mmengine - INFO - Epoch(train) [41][300/1879] lr: 1.0000e-02 eta: 2 days, 0:15:02 time: 0.4271 data_time: 0.0168 memory: 17087 grad_norm: 4.8609 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6567 loss: 1.6567 2022/08/03 18:18:49 - mmengine - INFO - Epoch(train) [41][320/1879] lr: 1.0000e-02 eta: 2 days, 0:14:54 time: 0.4264 data_time: 0.0159 memory: 17087 grad_norm: 4.7712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7149 loss: 1.7149 2022/08/03 18:18:58 - mmengine - INFO - Epoch(train) [41][340/1879] lr: 1.0000e-02 eta: 2 days, 0:14:45 time: 0.4287 data_time: 0.0159 memory: 17087 grad_norm: 4.8558 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5579 loss: 1.5579 2022/08/03 18:19:07 - mmengine - INFO - Epoch(train) [41][360/1879] lr: 1.0000e-02 eta: 2 days, 0:14:37 time: 0.4325 data_time: 0.0155 memory: 17087 grad_norm: 4.8051 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6561 loss: 1.6561 2022/08/03 18:19:15 - mmengine - INFO - Epoch(train) [41][380/1879] lr: 1.0000e-02 eta: 2 days, 0:14:28 time: 0.4237 data_time: 0.0139 memory: 17087 grad_norm: 4.8623 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9024 loss: 1.9024 2022/08/03 18:19:24 - mmengine - INFO - Epoch(train) [41][400/1879] lr: 1.0000e-02 eta: 2 days, 0:14:20 time: 0.4315 data_time: 0.0188 memory: 17087 grad_norm: 4.9646 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6822 loss: 1.6822 2022/08/03 18:19:33 - mmengine - INFO - Epoch(train) [41][420/1879] lr: 1.0000e-02 eta: 2 days, 0:14:12 time: 0.4375 data_time: 0.0143 memory: 17087 grad_norm: 5.0303 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8931 loss: 1.8931 2022/08/03 18:19:41 - mmengine - INFO - Epoch(train) [41][440/1879] lr: 1.0000e-02 eta: 2 days, 0:14:05 time: 0.4438 data_time: 0.0155 memory: 17087 grad_norm: 4.7460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7393 loss: 1.7393 2022/08/03 18:19:50 - mmengine - INFO - Epoch(train) [41][460/1879] lr: 1.0000e-02 eta: 2 days, 0:13:56 time: 0.4252 data_time: 0.0142 memory: 17087 grad_norm: 4.8285 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8328 loss: 1.8328 2022/08/03 18:19:59 - mmengine - INFO - Epoch(train) [41][480/1879] lr: 1.0000e-02 eta: 2 days, 0:13:48 time: 0.4319 data_time: 0.0150 memory: 17087 grad_norm: 4.8120 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8160 loss: 1.8160 2022/08/03 18:20:07 - mmengine - INFO - Epoch(train) [41][500/1879] lr: 1.0000e-02 eta: 2 days, 0:13:41 time: 0.4422 data_time: 0.0163 memory: 17087 grad_norm: 4.8007 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6620 loss: 1.6620 2022/08/03 18:20:16 - mmengine - INFO - Epoch(train) [41][520/1879] lr: 1.0000e-02 eta: 2 days, 0:13:32 time: 0.4251 data_time: 0.0171 memory: 17087 grad_norm: 4.8041 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7003 loss: 1.7003 2022/08/03 18:20:24 - mmengine - INFO - Epoch(train) [41][540/1879] lr: 1.0000e-02 eta: 2 days, 0:13:24 time: 0.4277 data_time: 0.0132 memory: 17087 grad_norm: 4.8003 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5409 loss: 1.5409 2022/08/03 18:20:33 - mmengine - INFO - Epoch(train) [41][560/1879] lr: 1.0000e-02 eta: 2 days, 0:13:15 time: 0.4274 data_time: 0.0154 memory: 17087 grad_norm: 4.8833 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.8524 loss: 1.8524 2022/08/03 18:20:42 - mmengine - INFO - Epoch(train) [41][580/1879] lr: 1.0000e-02 eta: 2 days, 0:13:06 time: 0.4287 data_time: 0.0142 memory: 17087 grad_norm: 5.0915 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6768 loss: 1.6768 2022/08/03 18:20:51 - mmengine - INFO - Epoch(train) [41][600/1879] lr: 1.0000e-02 eta: 2 days, 0:13:00 time: 0.4466 data_time: 0.0160 memory: 17087 grad_norm: 4.9784 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7361 loss: 1.7361 2022/08/03 18:20:59 - mmengine - INFO - Epoch(train) [41][620/1879] lr: 1.0000e-02 eta: 2 days, 0:12:51 time: 0.4310 data_time: 0.0173 memory: 17087 grad_norm: 4.8858 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6884 loss: 1.6884 2022/08/03 18:21:08 - mmengine - INFO - Epoch(train) [41][640/1879] lr: 1.0000e-02 eta: 2 days, 0:12:43 time: 0.4291 data_time: 0.0170 memory: 17087 grad_norm: 4.7557 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6683 loss: 1.6683 2022/08/03 18:21:16 - mmengine - INFO - Epoch(train) [41][660/1879] lr: 1.0000e-02 eta: 2 days, 0:12:35 time: 0.4309 data_time: 0.0124 memory: 17087 grad_norm: 4.9621 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4973 loss: 1.4973 2022/08/03 18:21:25 - mmengine - INFO - Epoch(train) [41][680/1879] lr: 1.0000e-02 eta: 2 days, 0:12:26 time: 0.4277 data_time: 0.0178 memory: 17087 grad_norm: 5.0640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6007 loss: 1.6007 2022/08/03 18:21:33 - mmengine - INFO - Epoch(train) [41][700/1879] lr: 1.0000e-02 eta: 2 days, 0:12:17 time: 0.4280 data_time: 0.0164 memory: 17087 grad_norm: 4.8163 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8371 loss: 1.8371 2022/08/03 18:21:42 - mmengine - INFO - Epoch(train) [41][720/1879] lr: 1.0000e-02 eta: 2 days, 0:12:09 time: 0.4306 data_time: 0.0163 memory: 17087 grad_norm: 4.8073 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5540 loss: 1.5540 2022/08/03 18:21:51 - mmengine - INFO - Epoch(train) [41][740/1879] lr: 1.0000e-02 eta: 2 days, 0:12:02 time: 0.4406 data_time: 0.0149 memory: 17087 grad_norm: 4.7271 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6211 loss: 1.6211 2022/08/03 18:21:59 - mmengine - INFO - Epoch(train) [41][760/1879] lr: 1.0000e-02 eta: 2 days, 0:11:53 time: 0.4271 data_time: 0.0164 memory: 17087 grad_norm: 4.8218 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7790 loss: 1.7790 2022/08/03 18:22:08 - mmengine - INFO - Epoch(train) [41][780/1879] lr: 1.0000e-02 eta: 2 days, 0:11:46 time: 0.4391 data_time: 0.0133 memory: 17087 grad_norm: 4.7377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7909 loss: 1.7909 2022/08/03 18:22:17 - mmengine - INFO - Epoch(train) [41][800/1879] lr: 1.0000e-02 eta: 2 days, 0:11:37 time: 0.4285 data_time: 0.0155 memory: 17087 grad_norm: 4.8996 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6507 loss: 1.6507 2022/08/03 18:22:25 - mmengine - INFO - Epoch(train) [41][820/1879] lr: 1.0000e-02 eta: 2 days, 0:11:28 time: 0.4261 data_time: 0.0140 memory: 17087 grad_norm: 5.0304 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8221 loss: 1.8221 2022/08/03 18:22:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:22:34 - mmengine - INFO - Epoch(train) [41][840/1879] lr: 1.0000e-02 eta: 2 days, 0:11:21 time: 0.4435 data_time: 0.0164 memory: 17087 grad_norm: 4.8284 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5477 loss: 1.5477 2022/08/03 18:22:43 - mmengine - INFO - Epoch(train) [41][860/1879] lr: 1.0000e-02 eta: 2 days, 0:11:13 time: 0.4253 data_time: 0.0139 memory: 17087 grad_norm: 4.8976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6493 loss: 1.6493 2022/08/03 18:22:51 - mmengine - INFO - Epoch(train) [41][880/1879] lr: 1.0000e-02 eta: 2 days, 0:11:04 time: 0.4269 data_time: 0.0162 memory: 17087 grad_norm: 4.8615 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5305 loss: 1.5305 2022/08/03 18:23:00 - mmengine - INFO - Epoch(train) [41][900/1879] lr: 1.0000e-02 eta: 2 days, 0:10:55 time: 0.4261 data_time: 0.0149 memory: 17087 grad_norm: 4.8772 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7070 loss: 1.7070 2022/08/03 18:23:09 - mmengine - INFO - Epoch(train) [41][920/1879] lr: 1.0000e-02 eta: 2 days, 0:10:49 time: 0.4476 data_time: 0.0177 memory: 17087 grad_norm: 4.9634 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5363 loss: 1.5363 2022/08/03 18:23:17 - mmengine - INFO - Epoch(train) [41][940/1879] lr: 1.0000e-02 eta: 2 days, 0:10:40 time: 0.4290 data_time: 0.0192 memory: 17087 grad_norm: 4.9274 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5469 loss: 1.5469 2022/08/03 18:23:26 - mmengine - INFO - Epoch(train) [41][960/1879] lr: 1.0000e-02 eta: 2 days, 0:10:31 time: 0.4259 data_time: 0.0153 memory: 17087 grad_norm: 5.0818 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7444 loss: 1.7444 2022/08/03 18:23:35 - mmengine - INFO - Epoch(train) [41][980/1879] lr: 1.0000e-02 eta: 2 days, 0:10:24 time: 0.4417 data_time: 0.0145 memory: 17087 grad_norm: 4.8996 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5107 loss: 1.5107 2022/08/03 18:23:43 - mmengine - INFO - Epoch(train) [41][1000/1879] lr: 1.0000e-02 eta: 2 days, 0:10:16 time: 0.4309 data_time: 0.0201 memory: 17087 grad_norm: 4.9365 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7828 loss: 1.7828 2022/08/03 18:23:52 - mmengine - INFO - Epoch(train) [41][1020/1879] lr: 1.0000e-02 eta: 2 days, 0:10:09 time: 0.4452 data_time: 0.0138 memory: 17087 grad_norm: 4.8368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7057 loss: 1.7057 2022/08/03 18:24:01 - mmengine - INFO - Epoch(train) [41][1040/1879] lr: 1.0000e-02 eta: 2 days, 0:10:01 time: 0.4309 data_time: 0.0209 memory: 17087 grad_norm: 4.8572 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6696 loss: 1.6696 2022/08/03 18:24:10 - mmengine - INFO - Epoch(train) [41][1060/1879] lr: 1.0000e-02 eta: 2 days, 0:09:53 time: 0.4402 data_time: 0.0146 memory: 17087 grad_norm: 4.7967 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7566 loss: 1.7566 2022/08/03 18:24:18 - mmengine - INFO - Epoch(train) [41][1080/1879] lr: 1.0000e-02 eta: 2 days, 0:09:45 time: 0.4281 data_time: 0.0176 memory: 17087 grad_norm: 4.8438 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6513 loss: 1.6513 2022/08/03 18:24:27 - mmengine - INFO - Epoch(train) [41][1100/1879] lr: 1.0000e-02 eta: 2 days, 0:09:37 time: 0.4311 data_time: 0.0150 memory: 17087 grad_norm: 4.8258 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5744 loss: 1.5744 2022/08/03 18:24:35 - mmengine - INFO - Epoch(train) [41][1120/1879] lr: 1.0000e-02 eta: 2 days, 0:09:28 time: 0.4249 data_time: 0.0169 memory: 17087 grad_norm: 4.8569 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7009 loss: 1.7009 2022/08/03 18:24:44 - mmengine - INFO - Epoch(train) [41][1140/1879] lr: 1.0000e-02 eta: 2 days, 0:09:19 time: 0.4283 data_time: 0.0145 memory: 17087 grad_norm: 4.8341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7717 loss: 1.7717 2022/08/03 18:24:53 - mmengine - INFO - Epoch(train) [41][1160/1879] lr: 1.0000e-02 eta: 2 days, 0:09:10 time: 0.4267 data_time: 0.0168 memory: 17087 grad_norm: 4.9445 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 2.0365 loss: 2.0365 2022/08/03 18:25:01 - mmengine - INFO - Epoch(train) [41][1180/1879] lr: 1.0000e-02 eta: 2 days, 0:09:02 time: 0.4283 data_time: 0.0147 memory: 17087 grad_norm: 4.8434 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6739 loss: 1.6739 2022/08/03 18:25:10 - mmengine - INFO - Epoch(train) [41][1200/1879] lr: 1.0000e-02 eta: 2 days, 0:08:53 time: 0.4300 data_time: 0.0189 memory: 17087 grad_norm: 4.9258 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7051 loss: 1.7051 2022/08/03 18:25:18 - mmengine - INFO - Epoch(train) [41][1220/1879] lr: 1.0000e-02 eta: 2 days, 0:08:45 time: 0.4293 data_time: 0.0152 memory: 17087 grad_norm: 4.9549 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6598 loss: 1.6598 2022/08/03 18:25:27 - mmengine - INFO - Epoch(train) [41][1240/1879] lr: 1.0000e-02 eta: 2 days, 0:08:38 time: 0.4403 data_time: 0.0152 memory: 17087 grad_norm: 5.0220 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6008 loss: 1.6008 2022/08/03 18:25:36 - mmengine - INFO - Epoch(train) [41][1260/1879] lr: 1.0000e-02 eta: 2 days, 0:08:29 time: 0.4245 data_time: 0.0139 memory: 17087 grad_norm: 4.8141 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5182 loss: 1.5182 2022/08/03 18:25:44 - mmengine - INFO - Epoch(train) [41][1280/1879] lr: 1.0000e-02 eta: 2 days, 0:08:20 time: 0.4271 data_time: 0.0156 memory: 17087 grad_norm: 4.8856 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5396 loss: 1.5396 2022/08/03 18:25:53 - mmengine - INFO - Epoch(train) [41][1300/1879] lr: 1.0000e-02 eta: 2 days, 0:08:11 time: 0.4283 data_time: 0.0159 memory: 17087 grad_norm: 4.8590 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4019 loss: 1.4019 2022/08/03 18:26:01 - mmengine - INFO - Epoch(train) [41][1320/1879] lr: 1.0000e-02 eta: 2 days, 0:08:03 time: 0.4301 data_time: 0.0141 memory: 17087 grad_norm: 4.9007 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8139 loss: 1.8139 2022/08/03 18:26:10 - mmengine - INFO - Epoch(train) [41][1340/1879] lr: 1.0000e-02 eta: 2 days, 0:07:56 time: 0.4455 data_time: 0.0150 memory: 17087 grad_norm: 4.7732 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5821 loss: 1.5821 2022/08/03 18:26:19 - mmengine - INFO - Epoch(train) [41][1360/1879] lr: 1.0000e-02 eta: 2 days, 0:07:48 time: 0.4362 data_time: 0.0168 memory: 17087 grad_norm: 4.9336 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6368 loss: 1.6368 2022/08/03 18:26:28 - mmengine - INFO - Epoch(train) [41][1380/1879] lr: 1.0000e-02 eta: 2 days, 0:07:42 time: 0.4470 data_time: 0.0143 memory: 17087 grad_norm: 5.0122 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7859 loss: 1.7859 2022/08/03 18:26:36 - mmengine - INFO - Epoch(train) [41][1400/1879] lr: 1.0000e-02 eta: 2 days, 0:07:33 time: 0.4242 data_time: 0.0151 memory: 17087 grad_norm: 4.8510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4910 loss: 1.4910 2022/08/03 18:26:45 - mmengine - INFO - Epoch(train) [41][1420/1879] lr: 1.0000e-02 eta: 2 days, 0:07:24 time: 0.4251 data_time: 0.0128 memory: 17087 grad_norm: 4.8949 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5960 loss: 1.5960 2022/08/03 18:26:54 - mmengine - INFO - Epoch(train) [41][1440/1879] lr: 1.0000e-02 eta: 2 days, 0:07:17 time: 0.4466 data_time: 0.0154 memory: 17087 grad_norm: 5.0741 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7212 loss: 1.7212 2022/08/03 18:27:02 - mmengine - INFO - Epoch(train) [41][1460/1879] lr: 1.0000e-02 eta: 2 days, 0:07:08 time: 0.4239 data_time: 0.0144 memory: 17087 grad_norm: 4.8378 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6489 loss: 1.6489 2022/08/03 18:27:11 - mmengine - INFO - Epoch(train) [41][1480/1879] lr: 1.0000e-02 eta: 2 days, 0:07:01 time: 0.4454 data_time: 0.0146 memory: 17087 grad_norm: 4.8347 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7792 loss: 1.7792 2022/08/03 18:27:20 - mmengine - INFO - Epoch(train) [41][1500/1879] lr: 1.0000e-02 eta: 2 days, 0:06:52 time: 0.4238 data_time: 0.0143 memory: 17087 grad_norm: 4.9040 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7236 loss: 1.7236 2022/08/03 18:27:29 - mmengine - INFO - Epoch(train) [41][1520/1879] lr: 1.0000e-02 eta: 2 days, 0:06:46 time: 0.4447 data_time: 0.0160 memory: 17087 grad_norm: 4.7818 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6686 loss: 1.6686 2022/08/03 18:27:37 - mmengine - INFO - Epoch(train) [41][1540/1879] lr: 1.0000e-02 eta: 2 days, 0:06:37 time: 0.4238 data_time: 0.0128 memory: 17087 grad_norm: 4.8195 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5964 loss: 1.5964 2022/08/03 18:27:46 - mmengine - INFO - Epoch(train) [41][1560/1879] lr: 1.0000e-02 eta: 2 days, 0:06:28 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 4.8426 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6728 loss: 1.6728 2022/08/03 18:27:54 - mmengine - INFO - Epoch(train) [41][1580/1879] lr: 1.0000e-02 eta: 2 days, 0:06:20 time: 0.4362 data_time: 0.0163 memory: 17087 grad_norm: 4.7840 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7316 loss: 1.7316 2022/08/03 18:28:03 - mmengine - INFO - Epoch(train) [41][1600/1879] lr: 1.0000e-02 eta: 2 days, 0:06:11 time: 0.4257 data_time: 0.0157 memory: 17087 grad_norm: 4.9093 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6844 loss: 1.6844 2022/08/03 18:28:11 - mmengine - INFO - Epoch(train) [41][1620/1879] lr: 1.0000e-02 eta: 2 days, 0:06:03 time: 0.4295 data_time: 0.0157 memory: 17087 grad_norm: 4.9533 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6644 loss: 1.6644 2022/08/03 18:28:20 - mmengine - INFO - Epoch(train) [41][1640/1879] lr: 1.0000e-02 eta: 2 days, 0:05:54 time: 0.4271 data_time: 0.0154 memory: 17087 grad_norm: 4.9607 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6129 loss: 1.6129 2022/08/03 18:28:29 - mmengine - INFO - Epoch(train) [41][1660/1879] lr: 1.0000e-02 eta: 2 days, 0:05:49 time: 0.4598 data_time: 0.0156 memory: 17087 grad_norm: 4.8863 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7041 loss: 1.7041 2022/08/03 18:28:38 - mmengine - INFO - Epoch(train) [41][1680/1879] lr: 1.0000e-02 eta: 2 days, 0:05:40 time: 0.4298 data_time: 0.0191 memory: 17087 grad_norm: 4.7777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3931 loss: 1.3931 2022/08/03 18:28:46 - mmengine - INFO - Epoch(train) [41][1700/1879] lr: 1.0000e-02 eta: 2 days, 0:05:31 time: 0.4244 data_time: 0.0146 memory: 17087 grad_norm: 4.8179 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6580 loss: 1.6580 2022/08/03 18:28:55 - mmengine - INFO - Epoch(train) [41][1720/1879] lr: 1.0000e-02 eta: 2 days, 0:05:23 time: 0.4323 data_time: 0.0157 memory: 17087 grad_norm: 4.9895 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6227 loss: 1.6227 2022/08/03 18:29:04 - mmengine - INFO - Epoch(train) [41][1740/1879] lr: 1.0000e-02 eta: 2 days, 0:05:15 time: 0.4280 data_time: 0.0133 memory: 17087 grad_norm: 4.9265 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6223 loss: 1.6223 2022/08/03 18:29:12 - mmengine - INFO - Epoch(train) [41][1760/1879] lr: 1.0000e-02 eta: 2 days, 0:05:06 time: 0.4272 data_time: 0.0162 memory: 17087 grad_norm: 4.7971 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4168 loss: 1.4168 2022/08/03 18:29:21 - mmengine - INFO - Epoch(train) [41][1780/1879] lr: 1.0000e-02 eta: 2 days, 0:04:57 time: 0.4256 data_time: 0.0135 memory: 17087 grad_norm: 4.6931 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5083 loss: 1.5083 2022/08/03 18:29:29 - mmengine - INFO - Epoch(train) [41][1800/1879] lr: 1.0000e-02 eta: 2 days, 0:04:49 time: 0.4369 data_time: 0.0175 memory: 17087 grad_norm: 4.8889 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4167 loss: 1.4167 2022/08/03 18:29:38 - mmengine - INFO - Epoch(train) [41][1820/1879] lr: 1.0000e-02 eta: 2 days, 0:04:41 time: 0.4274 data_time: 0.0148 memory: 17087 grad_norm: 4.9811 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5357 loss: 1.5357 2022/08/03 18:29:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:29:46 - mmengine - INFO - Epoch(train) [41][1840/1879] lr: 1.0000e-02 eta: 2 days, 0:04:32 time: 0.4251 data_time: 0.0156 memory: 17087 grad_norm: 4.9053 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7514 loss: 1.7514 2022/08/03 18:29:55 - mmengine - INFO - Epoch(train) [41][1860/1879] lr: 1.0000e-02 eta: 2 days, 0:04:24 time: 0.4336 data_time: 0.0149 memory: 17087 grad_norm: 4.5770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5227 loss: 1.5227 2022/08/03 18:30:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:30:03 - mmengine - INFO - Epoch(train) [41][1879/1879] lr: 1.0000e-02 eta: 2 days, 0:04:24 time: 0.4060 data_time: 0.0148 memory: 17087 grad_norm: 4.9433 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.6701 loss: 1.6701 2022/08/03 18:30:14 - mmengine - INFO - Epoch(train) [42][20/1879] lr: 1.0000e-02 eta: 2 days, 0:03:38 time: 0.5565 data_time: 0.1229 memory: 17087 grad_norm: 4.6904 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6661 loss: 1.6661 2022/08/03 18:30:23 - mmengine - INFO - Epoch(train) [42][40/1879] lr: 1.0000e-02 eta: 2 days, 0:03:30 time: 0.4316 data_time: 0.0214 memory: 17087 grad_norm: 4.8356 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5084 loss: 1.5084 2022/08/03 18:30:31 - mmengine - INFO - Epoch(train) [42][60/1879] lr: 1.0000e-02 eta: 2 days, 0:03:21 time: 0.4248 data_time: 0.0164 memory: 17087 grad_norm: 4.8274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6335 loss: 1.6335 2022/08/03 18:30:40 - mmengine - INFO - Epoch(train) [42][80/1879] lr: 1.0000e-02 eta: 2 days, 0:03:12 time: 0.4288 data_time: 0.0169 memory: 17087 grad_norm: 4.7565 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5886 loss: 1.5886 2022/08/03 18:30:48 - mmengine - INFO - Epoch(train) [42][100/1879] lr: 1.0000e-02 eta: 2 days, 0:03:03 time: 0.4254 data_time: 0.0138 memory: 17087 grad_norm: 4.6484 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4770 loss: 1.4770 2022/08/03 18:30:57 - mmengine - INFO - Epoch(train) [42][120/1879] lr: 1.0000e-02 eta: 2 days, 0:02:54 time: 0.4242 data_time: 0.0150 memory: 17087 grad_norm: 4.8093 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6166 loss: 1.6166 2022/08/03 18:31:05 - mmengine - INFO - Epoch(train) [42][140/1879] lr: 1.0000e-02 eta: 2 days, 0:02:46 time: 0.4278 data_time: 0.0139 memory: 17087 grad_norm: 5.0018 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7111 loss: 1.7111 2022/08/03 18:31:14 - mmengine - INFO - Epoch(train) [42][160/1879] lr: 1.0000e-02 eta: 2 days, 0:02:37 time: 0.4282 data_time: 0.0178 memory: 17087 grad_norm: 4.9096 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6110 loss: 1.6110 2022/08/03 18:31:23 - mmengine - INFO - Epoch(train) [42][180/1879] lr: 1.0000e-02 eta: 2 days, 0:02:29 time: 0.4347 data_time: 0.0157 memory: 17087 grad_norm: 4.8541 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4501 loss: 1.4501 2022/08/03 18:31:31 - mmengine - INFO - Epoch(train) [42][200/1879] lr: 1.0000e-02 eta: 2 days, 0:02:20 time: 0.4258 data_time: 0.0156 memory: 17087 grad_norm: 5.0344 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5501 loss: 1.5501 2022/08/03 18:31:40 - mmengine - INFO - Epoch(train) [42][220/1879] lr: 1.0000e-02 eta: 2 days, 0:02:12 time: 0.4290 data_time: 0.0151 memory: 17087 grad_norm: 4.8027 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6336 loss: 1.6336 2022/08/03 18:31:48 - mmengine - INFO - Epoch(train) [42][240/1879] lr: 1.0000e-02 eta: 2 days, 0:02:04 time: 0.4378 data_time: 0.0175 memory: 17087 grad_norm: 4.7052 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5665 loss: 1.5665 2022/08/03 18:31:57 - mmengine - INFO - Epoch(train) [42][260/1879] lr: 1.0000e-02 eta: 2 days, 0:01:55 time: 0.4237 data_time: 0.0152 memory: 17087 grad_norm: 4.9665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5602 loss: 1.5602 2022/08/03 18:32:05 - mmengine - INFO - Epoch(train) [42][280/1879] lr: 1.0000e-02 eta: 2 days, 0:01:47 time: 0.4301 data_time: 0.0189 memory: 17087 grad_norm: 4.8196 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5499 loss: 1.5499 2022/08/03 18:32:14 - mmengine - INFO - Epoch(train) [42][300/1879] lr: 1.0000e-02 eta: 2 days, 0:01:40 time: 0.4448 data_time: 0.0147 memory: 17087 grad_norm: 4.7991 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4559 loss: 1.4559 2022/08/03 18:32:23 - mmengine - INFO - Epoch(train) [42][320/1879] lr: 1.0000e-02 eta: 2 days, 0:01:32 time: 0.4289 data_time: 0.0198 memory: 17087 grad_norm: 4.7695 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5500 loss: 1.5500 2022/08/03 18:32:32 - mmengine - INFO - Epoch(train) [42][340/1879] lr: 1.0000e-02 eta: 2 days, 0:01:26 time: 0.4549 data_time: 0.0161 memory: 17087 grad_norm: 4.9462 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6756 loss: 1.6756 2022/08/03 18:32:41 - mmengine - INFO - Epoch(train) [42][360/1879] lr: 1.0000e-02 eta: 2 days, 0:01:18 time: 0.4352 data_time: 0.0207 memory: 17087 grad_norm: 4.8687 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.8867 loss: 1.8867 2022/08/03 18:32:50 - mmengine - INFO - Epoch(train) [42][380/1879] lr: 1.0000e-02 eta: 2 days, 0:01:12 time: 0.4564 data_time: 0.0151 memory: 17087 grad_norm: 4.7962 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6946 loss: 1.6946 2022/08/03 18:32:58 - mmengine - INFO - Epoch(train) [42][400/1879] lr: 1.0000e-02 eta: 2 days, 0:01:04 time: 0.4300 data_time: 0.0154 memory: 17087 grad_norm: 4.8531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6459 loss: 1.6459 2022/08/03 18:33:07 - mmengine - INFO - Epoch(train) [42][420/1879] lr: 1.0000e-02 eta: 2 days, 0:00:55 time: 0.4234 data_time: 0.0168 memory: 17087 grad_norm: 4.7949 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5684 loss: 1.5684 2022/08/03 18:33:16 - mmengine - INFO - Epoch(train) [42][440/1879] lr: 1.0000e-02 eta: 2 days, 0:00:46 time: 0.4280 data_time: 0.0159 memory: 17087 grad_norm: 4.8429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5849 loss: 1.5849 2022/08/03 18:33:24 - mmengine - INFO - Epoch(train) [42][460/1879] lr: 1.0000e-02 eta: 2 days, 0:00:37 time: 0.4253 data_time: 0.0166 memory: 17087 grad_norm: 4.8197 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6325 loss: 1.6325 2022/08/03 18:33:33 - mmengine - INFO - Epoch(train) [42][480/1879] lr: 1.0000e-02 eta: 2 days, 0:00:29 time: 0.4345 data_time: 0.0173 memory: 17087 grad_norm: 4.8797 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4538 loss: 1.4538 2022/08/03 18:33:41 - mmengine - INFO - Epoch(train) [42][500/1879] lr: 1.0000e-02 eta: 2 days, 0:00:20 time: 0.4228 data_time: 0.0131 memory: 17087 grad_norm: 4.8563 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4996 loss: 1.4996 2022/08/03 18:33:50 - mmengine - INFO - Epoch(train) [42][520/1879] lr: 1.0000e-02 eta: 2 days, 0:00:12 time: 0.4318 data_time: 0.0167 memory: 17087 grad_norm: 4.7777 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7051 loss: 1.7051 2022/08/03 18:33:58 - mmengine - INFO - Epoch(train) [42][540/1879] lr: 1.0000e-02 eta: 2 days, 0:00:03 time: 0.4254 data_time: 0.0169 memory: 17087 grad_norm: 4.8823 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7998 loss: 1.7998 2022/08/03 18:34:07 - mmengine - INFO - Epoch(train) [42][560/1879] lr: 1.0000e-02 eta: 1 day, 23:59:54 time: 0.4259 data_time: 0.0143 memory: 17087 grad_norm: 4.9823 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7392 loss: 1.7392 2022/08/03 18:34:16 - mmengine - INFO - Epoch(train) [42][580/1879] lr: 1.0000e-02 eta: 1 day, 23:59:48 time: 0.4473 data_time: 0.0144 memory: 17087 grad_norm: 4.8551 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7093 loss: 1.7093 2022/08/03 18:34:24 - mmengine - INFO - Epoch(train) [42][600/1879] lr: 1.0000e-02 eta: 1 day, 23:59:39 time: 0.4316 data_time: 0.0212 memory: 17087 grad_norm: 4.9150 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5952 loss: 1.5952 2022/08/03 18:34:33 - mmengine - INFO - Epoch(train) [42][620/1879] lr: 1.0000e-02 eta: 1 day, 23:59:31 time: 0.4316 data_time: 0.0141 memory: 17087 grad_norm: 4.7483 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5412 loss: 1.5412 2022/08/03 18:34:42 - mmengine - INFO - Epoch(train) [42][640/1879] lr: 1.0000e-02 eta: 1 day, 23:59:22 time: 0.4264 data_time: 0.0158 memory: 17087 grad_norm: 5.0300 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8062 loss: 1.8062 2022/08/03 18:34:51 - mmengine - INFO - Epoch(train) [42][660/1879] lr: 1.0000e-02 eta: 1 day, 23:59:17 time: 0.4589 data_time: 0.0167 memory: 17087 grad_norm: 4.8732 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6223 loss: 1.6223 2022/08/03 18:34:59 - mmengine - INFO - Epoch(train) [42][680/1879] lr: 1.0000e-02 eta: 1 day, 23:59:08 time: 0.4239 data_time: 0.0143 memory: 17087 grad_norm: 4.8477 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6158 loss: 1.6158 2022/08/03 18:35:08 - mmengine - INFO - Epoch(train) [42][700/1879] lr: 1.0000e-02 eta: 1 day, 23:59:01 time: 0.4451 data_time: 0.0150 memory: 17087 grad_norm: 4.9070 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6613 loss: 1.6613 2022/08/03 18:35:17 - mmengine - INFO - Epoch(train) [42][720/1879] lr: 1.0000e-02 eta: 1 day, 23:58:52 time: 0.4234 data_time: 0.0157 memory: 17087 grad_norm: 4.7586 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3377 loss: 1.3377 2022/08/03 18:35:25 - mmengine - INFO - Epoch(train) [42][740/1879] lr: 1.0000e-02 eta: 1 day, 23:58:43 time: 0.4257 data_time: 0.0144 memory: 17087 grad_norm: 4.9426 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7180 loss: 1.7180 2022/08/03 18:35:34 - mmengine - INFO - Epoch(train) [42][760/1879] lr: 1.0000e-02 eta: 1 day, 23:58:35 time: 0.4300 data_time: 0.0172 memory: 17087 grad_norm: 4.9429 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6537 loss: 1.6537 2022/08/03 18:35:42 - mmengine - INFO - Epoch(train) [42][780/1879] lr: 1.0000e-02 eta: 1 day, 23:58:26 time: 0.4271 data_time: 0.0141 memory: 17087 grad_norm: 4.9395 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5828 loss: 1.5828 2022/08/03 18:35:51 - mmengine - INFO - Epoch(train) [42][800/1879] lr: 1.0000e-02 eta: 1 day, 23:58:19 time: 0.4439 data_time: 0.0172 memory: 17087 grad_norm: 4.7821 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8910 loss: 1.8910 2022/08/03 18:36:00 - mmengine - INFO - Epoch(train) [42][820/1879] lr: 1.0000e-02 eta: 1 day, 23:58:11 time: 0.4314 data_time: 0.0170 memory: 17087 grad_norm: 4.9651 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8517 loss: 1.8517 2022/08/03 18:36:09 - mmengine - INFO - Epoch(train) [42][840/1879] lr: 1.0000e-02 eta: 1 day, 23:58:03 time: 0.4370 data_time: 0.0139 memory: 17087 grad_norm: 4.9972 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8242 loss: 1.8242 2022/08/03 18:36:17 - mmengine - INFO - Epoch(train) [42][860/1879] lr: 1.0000e-02 eta: 1 day, 23:57:54 time: 0.4252 data_time: 0.0152 memory: 17087 grad_norm: 4.7868 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5903 loss: 1.5903 2022/08/03 18:36:26 - mmengine - INFO - Epoch(train) [42][880/1879] lr: 1.0000e-02 eta: 1 day, 23:57:47 time: 0.4398 data_time: 0.0150 memory: 17087 grad_norm: 4.8821 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6522 loss: 1.6522 2022/08/03 18:36:35 - mmengine - INFO - Epoch(train) [42][900/1879] lr: 1.0000e-02 eta: 1 day, 23:57:39 time: 0.4287 data_time: 0.0181 memory: 17087 grad_norm: 4.8279 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6842 loss: 1.6842 2022/08/03 18:36:43 - mmengine - INFO - Epoch(train) [42][920/1879] lr: 1.0000e-02 eta: 1 day, 23:57:30 time: 0.4315 data_time: 0.0177 memory: 17087 grad_norm: 4.8271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5200 loss: 1.5200 2022/08/03 18:36:52 - mmengine - INFO - Epoch(train) [42][940/1879] lr: 1.0000e-02 eta: 1 day, 23:57:22 time: 0.4346 data_time: 0.0167 memory: 17087 grad_norm: 4.6106 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6223 loss: 1.6223 2022/08/03 18:37:00 - mmengine - INFO - Epoch(train) [42][960/1879] lr: 1.0000e-02 eta: 1 day, 23:57:14 time: 0.4260 data_time: 0.0174 memory: 17087 grad_norm: 4.9190 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6408 loss: 1.6408 2022/08/03 18:37:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:37:09 - mmengine - INFO - Epoch(train) [42][980/1879] lr: 1.0000e-02 eta: 1 day, 23:57:07 time: 0.4466 data_time: 0.0163 memory: 17087 grad_norm: 4.8856 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5741 loss: 1.5741 2022/08/03 18:37:18 - mmengine - INFO - Epoch(train) [42][1000/1879] lr: 1.0000e-02 eta: 1 day, 23:56:58 time: 0.4252 data_time: 0.0159 memory: 17087 grad_norm: 4.9914 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.8742 loss: 1.8742 2022/08/03 18:37:26 - mmengine - INFO - Epoch(train) [42][1020/1879] lr: 1.0000e-02 eta: 1 day, 23:56:50 time: 0.4291 data_time: 0.0142 memory: 17087 grad_norm: 4.9571 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6818 loss: 1.6818 2022/08/03 18:37:35 - mmengine - INFO - Epoch(train) [42][1040/1879] lr: 1.0000e-02 eta: 1 day, 23:56:41 time: 0.4315 data_time: 0.0169 memory: 17087 grad_norm: 4.8911 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4246 loss: 1.4246 2022/08/03 18:37:44 - mmengine - INFO - Epoch(train) [42][1060/1879] lr: 1.0000e-02 eta: 1 day, 23:56:33 time: 0.4287 data_time: 0.0137 memory: 17087 grad_norm: 4.7722 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6771 loss: 1.6771 2022/08/03 18:37:52 - mmengine - INFO - Epoch(train) [42][1080/1879] lr: 1.0000e-02 eta: 1 day, 23:56:25 time: 0.4391 data_time: 0.0165 memory: 17087 grad_norm: 4.7759 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5384 loss: 1.5384 2022/08/03 18:38:01 - mmengine - INFO - Epoch(train) [42][1100/1879] lr: 1.0000e-02 eta: 1 day, 23:56:17 time: 0.4303 data_time: 0.0132 memory: 17087 grad_norm: 4.8503 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6407 loss: 1.6407 2022/08/03 18:38:10 - mmengine - INFO - Epoch(train) [42][1120/1879] lr: 1.0000e-02 eta: 1 day, 23:56:08 time: 0.4262 data_time: 0.0182 memory: 17087 grad_norm: 4.7794 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7072 loss: 1.7072 2022/08/03 18:38:18 - mmengine - INFO - Epoch(train) [42][1140/1879] lr: 1.0000e-02 eta: 1 day, 23:55:59 time: 0.4238 data_time: 0.0147 memory: 17087 grad_norm: 4.7507 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8269 loss: 1.8269 2022/08/03 18:38:27 - mmengine - INFO - Epoch(train) [42][1160/1879] lr: 1.0000e-02 eta: 1 day, 23:55:50 time: 0.4250 data_time: 0.0155 memory: 17087 grad_norm: 4.8374 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8878 loss: 1.8878 2022/08/03 18:38:35 - mmengine - INFO - Epoch(train) [42][1180/1879] lr: 1.0000e-02 eta: 1 day, 23:55:41 time: 0.4261 data_time: 0.0148 memory: 17087 grad_norm: 4.8189 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6298 loss: 1.6298 2022/08/03 18:38:44 - mmengine - INFO - Epoch(train) [42][1200/1879] lr: 1.0000e-02 eta: 1 day, 23:55:33 time: 0.4269 data_time: 0.0167 memory: 17087 grad_norm: 5.0020 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.7581 loss: 1.7581 2022/08/03 18:38:52 - mmengine - INFO - Epoch(train) [42][1220/1879] lr: 1.0000e-02 eta: 1 day, 23:55:24 time: 0.4317 data_time: 0.0157 memory: 17087 grad_norm: 4.7375 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4545 loss: 1.4545 2022/08/03 18:39:01 - mmengine - INFO - Epoch(train) [42][1240/1879] lr: 1.0000e-02 eta: 1 day, 23:55:16 time: 0.4258 data_time: 0.0153 memory: 17087 grad_norm: 4.8968 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5859 loss: 1.5859 2022/08/03 18:39:09 - mmengine - INFO - Epoch(train) [42][1260/1879] lr: 1.0000e-02 eta: 1 day, 23:55:07 time: 0.4268 data_time: 0.0163 memory: 17087 grad_norm: 4.8488 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7018 loss: 1.7018 2022/08/03 18:39:18 - mmengine - INFO - Epoch(train) [42][1280/1879] lr: 1.0000e-02 eta: 1 day, 23:54:58 time: 0.4249 data_time: 0.0150 memory: 17087 grad_norm: 4.8823 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.7717 loss: 1.7717 2022/08/03 18:39:26 - mmengine - INFO - Epoch(train) [42][1300/1879] lr: 1.0000e-02 eta: 1 day, 23:54:49 time: 0.4248 data_time: 0.0144 memory: 17087 grad_norm: 4.8260 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9538 loss: 1.9538 2022/08/03 18:39:35 - mmengine - INFO - Epoch(train) [42][1320/1879] lr: 1.0000e-02 eta: 1 day, 23:54:41 time: 0.4287 data_time: 0.0172 memory: 17087 grad_norm: 4.9575 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6667 loss: 1.6667 2022/08/03 18:39:43 - mmengine - INFO - Epoch(train) [42][1340/1879] lr: 1.0000e-02 eta: 1 day, 23:54:32 time: 0.4291 data_time: 0.0139 memory: 17087 grad_norm: 4.9969 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6213 loss: 1.6213 2022/08/03 18:39:52 - mmengine - INFO - Epoch(train) [42][1360/1879] lr: 1.0000e-02 eta: 1 day, 23:54:25 time: 0.4397 data_time: 0.0184 memory: 17087 grad_norm: 5.0641 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6038 loss: 1.6038 2022/08/03 18:40:01 - mmengine - INFO - Epoch(train) [42][1380/1879] lr: 1.0000e-02 eta: 1 day, 23:54:16 time: 0.4266 data_time: 0.0145 memory: 17087 grad_norm: 4.8421 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6892 loss: 1.6892 2022/08/03 18:40:09 - mmengine - INFO - Epoch(train) [42][1400/1879] lr: 1.0000e-02 eta: 1 day, 23:54:07 time: 0.4293 data_time: 0.0166 memory: 17087 grad_norm: 4.8928 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6143 loss: 1.6143 2022/08/03 18:40:18 - mmengine - INFO - Epoch(train) [42][1420/1879] lr: 1.0000e-02 eta: 1 day, 23:53:58 time: 0.4244 data_time: 0.0136 memory: 17087 grad_norm: 4.7507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5907 loss: 1.5907 2022/08/03 18:40:26 - mmengine - INFO - Epoch(train) [42][1440/1879] lr: 1.0000e-02 eta: 1 day, 23:53:49 time: 0.4243 data_time: 0.0151 memory: 17087 grad_norm: 4.6983 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7239 loss: 1.7239 2022/08/03 18:40:35 - mmengine - INFO - Epoch(train) [42][1460/1879] lr: 1.0000e-02 eta: 1 day, 23:53:42 time: 0.4366 data_time: 0.0163 memory: 17087 grad_norm: 4.8605 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5556 loss: 1.5556 2022/08/03 18:40:44 - mmengine - INFO - Epoch(train) [42][1480/1879] lr: 1.0000e-02 eta: 1 day, 23:53:33 time: 0.4262 data_time: 0.0144 memory: 17087 grad_norm: 4.8738 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6612 loss: 1.6612 2022/08/03 18:40:53 - mmengine - INFO - Epoch(train) [42][1500/1879] lr: 1.0000e-02 eta: 1 day, 23:53:26 time: 0.4450 data_time: 0.0178 memory: 17087 grad_norm: 4.9892 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6865 loss: 1.6865 2022/08/03 18:41:01 - mmengine - INFO - Epoch(train) [42][1520/1879] lr: 1.0000e-02 eta: 1 day, 23:53:17 time: 0.4252 data_time: 0.0155 memory: 17087 grad_norm: 4.7622 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6042 loss: 1.6042 2022/08/03 18:41:10 - mmengine - INFO - Epoch(train) [42][1540/1879] lr: 1.0000e-02 eta: 1 day, 23:53:08 time: 0.4241 data_time: 0.0155 memory: 17087 grad_norm: 4.9607 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6085 loss: 1.6085 2022/08/03 18:41:18 - mmengine - INFO - Epoch(train) [42][1560/1879] lr: 1.0000e-02 eta: 1 day, 23:52:59 time: 0.4247 data_time: 0.0152 memory: 17087 grad_norm: 4.9249 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7916 loss: 1.7916 2022/08/03 18:41:27 - mmengine - INFO - Epoch(train) [42][1580/1879] lr: 1.0000e-02 eta: 1 day, 23:52:50 time: 0.4244 data_time: 0.0136 memory: 17087 grad_norm: 5.0798 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5598 loss: 1.5598 2022/08/03 18:41:36 - mmengine - INFO - Epoch(train) [42][1600/1879] lr: 1.0000e-02 eta: 1 day, 23:52:44 time: 0.4475 data_time: 0.0154 memory: 17087 grad_norm: 4.9192 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7198 loss: 1.7198 2022/08/03 18:41:44 - mmengine - INFO - Epoch(train) [42][1620/1879] lr: 1.0000e-02 eta: 1 day, 23:52:35 time: 0.4299 data_time: 0.0138 memory: 17087 grad_norm: 4.8717 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5510 loss: 1.5510 2022/08/03 18:41:53 - mmengine - INFO - Epoch(train) [42][1640/1879] lr: 1.0000e-02 eta: 1 day, 23:52:27 time: 0.4300 data_time: 0.0172 memory: 17087 grad_norm: 4.8973 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.4582 loss: 1.4582 2022/08/03 18:42:01 - mmengine - INFO - Epoch(train) [42][1660/1879] lr: 1.0000e-02 eta: 1 day, 23:52:18 time: 0.4246 data_time: 0.0140 memory: 17087 grad_norm: 4.8862 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6730 loss: 1.6730 2022/08/03 18:42:10 - mmengine - INFO - Epoch(train) [42][1680/1879] lr: 1.0000e-02 eta: 1 day, 23:52:10 time: 0.4359 data_time: 0.0166 memory: 17087 grad_norm: 4.8619 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5698 loss: 1.5698 2022/08/03 18:42:18 - mmengine - INFO - Epoch(train) [42][1700/1879] lr: 1.0000e-02 eta: 1 day, 23:52:01 time: 0.4254 data_time: 0.0144 memory: 17087 grad_norm: 4.9523 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6558 loss: 1.6558 2022/08/03 18:42:27 - mmengine - INFO - Epoch(train) [42][1720/1879] lr: 1.0000e-02 eta: 1 day, 23:51:52 time: 0.4241 data_time: 0.0172 memory: 17087 grad_norm: 5.0820 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7050 loss: 1.7050 2022/08/03 18:42:36 - mmengine - INFO - Epoch(train) [42][1740/1879] lr: 1.0000e-02 eta: 1 day, 23:51:44 time: 0.4323 data_time: 0.0140 memory: 17087 grad_norm: 4.9431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5215 loss: 1.5215 2022/08/03 18:42:44 - mmengine - INFO - Epoch(train) [42][1760/1879] lr: 1.0000e-02 eta: 1 day, 23:51:35 time: 0.4263 data_time: 0.0148 memory: 17087 grad_norm: 4.9098 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7661 loss: 1.7661 2022/08/03 18:42:53 - mmengine - INFO - Epoch(train) [42][1780/1879] lr: 1.0000e-02 eta: 1 day, 23:51:29 time: 0.4501 data_time: 0.0167 memory: 17087 grad_norm: 5.0025 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7489 loss: 1.7489 2022/08/03 18:43:02 - mmengine - INFO - Epoch(train) [42][1800/1879] lr: 1.0000e-02 eta: 1 day, 23:51:20 time: 0.4268 data_time: 0.0167 memory: 17087 grad_norm: 4.8558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5972 loss: 1.5972 2022/08/03 18:43:10 - mmengine - INFO - Epoch(train) [42][1820/1879] lr: 1.0000e-02 eta: 1 day, 23:51:12 time: 0.4265 data_time: 0.0158 memory: 17087 grad_norm: 4.8406 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7726 loss: 1.7726 2022/08/03 18:43:19 - mmengine - INFO - Epoch(train) [42][1840/1879] lr: 1.0000e-02 eta: 1 day, 23:51:03 time: 0.4274 data_time: 0.0157 memory: 17087 grad_norm: 4.8138 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6873 loss: 1.6873 2022/08/03 18:43:27 - mmengine - INFO - Epoch(train) [42][1860/1879] lr: 1.0000e-02 eta: 1 day, 23:50:54 time: 0.4247 data_time: 0.0140 memory: 17087 grad_norm: 4.8739 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5942 loss: 1.5942 2022/08/03 18:43:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:43:35 - mmengine - INFO - Epoch(train) [42][1879/1879] lr: 1.0000e-02 eta: 1 day, 23:50:54 time: 0.4078 data_time: 0.0151 memory: 17087 grad_norm: 4.8952 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.5948 loss: 1.5948 2022/08/03 18:43:46 - mmengine - INFO - Epoch(train) [43][20/1879] lr: 1.0000e-02 eta: 1 day, 23:50:08 time: 0.5494 data_time: 0.1265 memory: 17087 grad_norm: 4.8137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6336 loss: 1.6336 2022/08/03 18:43:55 - mmengine - INFO - Epoch(train) [43][40/1879] lr: 1.0000e-02 eta: 1 day, 23:50:01 time: 0.4435 data_time: 0.0189 memory: 17087 grad_norm: 4.8683 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6895 loss: 1.6895 2022/08/03 18:44:04 - mmengine - INFO - Epoch(train) [43][60/1879] lr: 1.0000e-02 eta: 1 day, 23:49:53 time: 0.4287 data_time: 0.0131 memory: 17087 grad_norm: 4.8074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5331 loss: 1.5331 2022/08/03 18:44:12 - mmengine - INFO - Epoch(train) [43][80/1879] lr: 1.0000e-02 eta: 1 day, 23:49:44 time: 0.4308 data_time: 0.0144 memory: 17087 grad_norm: 4.7177 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4487 loss: 1.4487 2022/08/03 18:44:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:44:21 - mmengine - INFO - Epoch(train) [43][100/1879] lr: 1.0000e-02 eta: 1 day, 23:49:36 time: 0.4273 data_time: 0.0133 memory: 17087 grad_norm: 4.7461 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6437 loss: 1.6437 2022/08/03 18:44:30 - mmengine - INFO - Epoch(train) [43][120/1879] lr: 1.0000e-02 eta: 1 day, 23:49:30 time: 0.4591 data_time: 0.0173 memory: 17087 grad_norm: 5.0955 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.8018 loss: 1.8018 2022/08/03 18:44:38 - mmengine - INFO - Epoch(train) [43][140/1879] lr: 1.0000e-02 eta: 1 day, 23:49:21 time: 0.4228 data_time: 0.0142 memory: 17087 grad_norm: 4.8792 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5518 loss: 1.5518 2022/08/03 18:44:47 - mmengine - INFO - Epoch(train) [43][160/1879] lr: 1.0000e-02 eta: 1 day, 23:49:12 time: 0.4252 data_time: 0.0150 memory: 17087 grad_norm: 4.7882 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7054 loss: 1.7054 2022/08/03 18:44:55 - mmengine - INFO - Epoch(train) [43][180/1879] lr: 1.0000e-02 eta: 1 day, 23:49:04 time: 0.4286 data_time: 0.0159 memory: 17087 grad_norm: 4.8870 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7394 loss: 1.7394 2022/08/03 18:45:04 - mmengine - INFO - Epoch(train) [43][200/1879] lr: 1.0000e-02 eta: 1 day, 23:48:55 time: 0.4263 data_time: 0.0163 memory: 17087 grad_norm: 4.7322 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4998 loss: 1.4998 2022/08/03 18:45:13 - mmengine - INFO - Epoch(train) [43][220/1879] lr: 1.0000e-02 eta: 1 day, 23:48:49 time: 0.4527 data_time: 0.0149 memory: 17087 grad_norm: 4.8766 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5733 loss: 1.5733 2022/08/03 18:45:22 - mmengine - INFO - Epoch(train) [43][240/1879] lr: 1.0000e-02 eta: 1 day, 23:48:40 time: 0.4277 data_time: 0.0179 memory: 17087 grad_norm: 4.9538 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7618 loss: 1.7618 2022/08/03 18:45:30 - mmengine - INFO - Epoch(train) [43][260/1879] lr: 1.0000e-02 eta: 1 day, 23:48:32 time: 0.4359 data_time: 0.0170 memory: 17087 grad_norm: 4.8497 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5706 loss: 1.5706 2022/08/03 18:45:39 - mmengine - INFO - Epoch(train) [43][280/1879] lr: 1.0000e-02 eta: 1 day, 23:48:23 time: 0.4251 data_time: 0.0152 memory: 17087 grad_norm: 4.9094 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6003 loss: 1.6003 2022/08/03 18:45:47 - mmengine - INFO - Epoch(train) [43][300/1879] lr: 1.0000e-02 eta: 1 day, 23:48:14 time: 0.4235 data_time: 0.0143 memory: 17087 grad_norm: 4.9016 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5757 loss: 1.5757 2022/08/03 18:45:56 - mmengine - INFO - Epoch(train) [43][320/1879] lr: 1.0000e-02 eta: 1 day, 23:48:07 time: 0.4397 data_time: 0.0174 memory: 17087 grad_norm: 4.7995 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6190 loss: 1.6190 2022/08/03 18:46:05 - mmengine - INFO - Epoch(train) [43][340/1879] lr: 1.0000e-02 eta: 1 day, 23:47:58 time: 0.4267 data_time: 0.0147 memory: 17087 grad_norm: 4.9008 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5695 loss: 1.5695 2022/08/03 18:46:13 - mmengine - INFO - Epoch(train) [43][360/1879] lr: 1.0000e-02 eta: 1 day, 23:47:51 time: 0.4430 data_time: 0.0177 memory: 17087 grad_norm: 4.8916 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6814 loss: 1.6814 2022/08/03 18:46:22 - mmengine - INFO - Epoch(train) [43][380/1879] lr: 1.0000e-02 eta: 1 day, 23:47:43 time: 0.4283 data_time: 0.0185 memory: 17087 grad_norm: 4.8400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5479 loss: 1.5479 2022/08/03 18:46:31 - mmengine - INFO - Epoch(train) [43][400/1879] lr: 1.0000e-02 eta: 1 day, 23:47:34 time: 0.4310 data_time: 0.0153 memory: 17087 grad_norm: 5.0298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5108 loss: 1.5108 2022/08/03 18:46:39 - mmengine - INFO - Epoch(train) [43][420/1879] lr: 1.0000e-02 eta: 1 day, 23:47:26 time: 0.4312 data_time: 0.0208 memory: 17087 grad_norm: 4.9525 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6926 loss: 1.6926 2022/08/03 18:46:48 - mmengine - INFO - Epoch(train) [43][440/1879] lr: 1.0000e-02 eta: 1 day, 23:47:17 time: 0.4270 data_time: 0.0162 memory: 17087 grad_norm: 4.9405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6232 loss: 1.6232 2022/08/03 18:46:56 - mmengine - INFO - Epoch(train) [43][460/1879] lr: 1.0000e-02 eta: 1 day, 23:47:09 time: 0.4285 data_time: 0.0141 memory: 17087 grad_norm: 4.9821 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8051 loss: 1.8051 2022/08/03 18:47:05 - mmengine - INFO - Epoch(train) [43][480/1879] lr: 1.0000e-02 eta: 1 day, 23:47:00 time: 0.4288 data_time: 0.0161 memory: 17087 grad_norm: 4.9652 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6466 loss: 1.6466 2022/08/03 18:47:14 - mmengine - INFO - Epoch(train) [43][500/1879] lr: 1.0000e-02 eta: 1 day, 23:46:54 time: 0.4464 data_time: 0.0147 memory: 17087 grad_norm: 4.7858 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6541 loss: 1.6541 2022/08/03 18:47:23 - mmengine - INFO - Epoch(train) [43][520/1879] lr: 1.0000e-02 eta: 1 day, 23:46:45 time: 0.4287 data_time: 0.0159 memory: 17087 grad_norm: 4.8833 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.4877 loss: 1.4877 2022/08/03 18:47:31 - mmengine - INFO - Epoch(train) [43][540/1879] lr: 1.0000e-02 eta: 1 day, 23:46:38 time: 0.4449 data_time: 0.0156 memory: 17087 grad_norm: 4.8584 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6499 loss: 1.6499 2022/08/03 18:47:40 - mmengine - INFO - Epoch(train) [43][560/1879] lr: 1.0000e-02 eta: 1 day, 23:46:30 time: 0.4294 data_time: 0.0210 memory: 17087 grad_norm: 4.8558 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8406 loss: 1.8406 2022/08/03 18:47:49 - mmengine - INFO - Epoch(train) [43][580/1879] lr: 1.0000e-02 eta: 1 day, 23:46:21 time: 0.4257 data_time: 0.0145 memory: 17087 grad_norm: 5.0438 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6500 loss: 1.6500 2022/08/03 18:47:57 - mmengine - INFO - Epoch(train) [43][600/1879] lr: 1.0000e-02 eta: 1 day, 23:46:12 time: 0.4233 data_time: 0.0152 memory: 17087 grad_norm: 4.8955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5498 loss: 1.5498 2022/08/03 18:48:06 - mmengine - INFO - Epoch(train) [43][620/1879] lr: 1.0000e-02 eta: 1 day, 23:46:05 time: 0.4458 data_time: 0.0144 memory: 17087 grad_norm: 4.7202 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6692 loss: 1.6692 2022/08/03 18:48:14 - mmengine - INFO - Epoch(train) [43][640/1879] lr: 1.0000e-02 eta: 1 day, 23:45:56 time: 0.4255 data_time: 0.0155 memory: 17087 grad_norm: 5.0126 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7249 loss: 1.7249 2022/08/03 18:48:23 - mmengine - INFO - Epoch(train) [43][660/1879] lr: 1.0000e-02 eta: 1 day, 23:45:50 time: 0.4490 data_time: 0.0155 memory: 17087 grad_norm: 4.8969 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6465 loss: 1.6465 2022/08/03 18:48:32 - mmengine - INFO - Epoch(train) [43][680/1879] lr: 1.0000e-02 eta: 1 day, 23:45:41 time: 0.4258 data_time: 0.0155 memory: 17087 grad_norm: 4.9850 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6781 loss: 1.6781 2022/08/03 18:48:41 - mmengine - INFO - Epoch(train) [43][700/1879] lr: 1.0000e-02 eta: 1 day, 23:45:34 time: 0.4420 data_time: 0.0142 memory: 17087 grad_norm: 4.8914 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5981 loss: 1.5981 2022/08/03 18:48:49 - mmengine - INFO - Epoch(train) [43][720/1879] lr: 1.0000e-02 eta: 1 day, 23:45:25 time: 0.4258 data_time: 0.0159 memory: 17087 grad_norm: 4.8946 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.6280 loss: 1.6280 2022/08/03 18:48:58 - mmengine - INFO - Epoch(train) [43][740/1879] lr: 1.0000e-02 eta: 1 day, 23:45:16 time: 0.4256 data_time: 0.0145 memory: 17087 grad_norm: 4.9510 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6693 loss: 1.6693 2022/08/03 18:49:07 - mmengine - INFO - Epoch(train) [43][760/1879] lr: 1.0000e-02 eta: 1 day, 23:45:10 time: 0.4549 data_time: 0.0188 memory: 17087 grad_norm: 4.9463 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7184 loss: 1.7184 2022/08/03 18:49:15 - mmengine - INFO - Epoch(train) [43][780/1879] lr: 1.0000e-02 eta: 1 day, 23:45:01 time: 0.4242 data_time: 0.0155 memory: 17087 grad_norm: 4.8770 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5658 loss: 1.5658 2022/08/03 18:49:24 - mmengine - INFO - Epoch(train) [43][800/1879] lr: 1.0000e-02 eta: 1 day, 23:44:52 time: 0.4274 data_time: 0.0159 memory: 17087 grad_norm: 4.9227 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5546 loss: 1.5546 2022/08/03 18:49:33 - mmengine - INFO - Epoch(train) [43][820/1879] lr: 1.0000e-02 eta: 1 day, 23:44:44 time: 0.4254 data_time: 0.0138 memory: 17087 grad_norm: 4.8273 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6485 loss: 1.6485 2022/08/03 18:49:41 - mmengine - INFO - Epoch(train) [43][840/1879] lr: 1.0000e-02 eta: 1 day, 23:44:35 time: 0.4282 data_time: 0.0174 memory: 17087 grad_norm: 4.9093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6073 loss: 1.6073 2022/08/03 18:49:50 - mmengine - INFO - Epoch(train) [43][860/1879] lr: 1.0000e-02 eta: 1 day, 23:44:26 time: 0.4241 data_time: 0.0136 memory: 17087 grad_norm: 4.9092 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7315 loss: 1.7315 2022/08/03 18:49:58 - mmengine - INFO - Epoch(train) [43][880/1879] lr: 1.0000e-02 eta: 1 day, 23:44:17 time: 0.4246 data_time: 0.0154 memory: 17087 grad_norm: 4.9516 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6899 loss: 1.6899 2022/08/03 18:50:07 - mmengine - INFO - Epoch(train) [43][900/1879] lr: 1.0000e-02 eta: 1 day, 23:44:10 time: 0.4407 data_time: 0.0156 memory: 17087 grad_norm: 4.9322 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6442 loss: 1.6442 2022/08/03 18:50:15 - mmengine - INFO - Epoch(train) [43][920/1879] lr: 1.0000e-02 eta: 1 day, 23:44:01 time: 0.4247 data_time: 0.0170 memory: 17087 grad_norm: 4.6586 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6763 loss: 1.6763 2022/08/03 18:50:24 - mmengine - INFO - Epoch(train) [43][940/1879] lr: 1.0000e-02 eta: 1 day, 23:43:52 time: 0.4278 data_time: 0.0138 memory: 17087 grad_norm: 5.0037 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8385 loss: 1.8385 2022/08/03 18:50:32 - mmengine - INFO - Epoch(train) [43][960/1879] lr: 1.0000e-02 eta: 1 day, 23:43:43 time: 0.4263 data_time: 0.0169 memory: 17087 grad_norm: 5.0148 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6062 loss: 1.6062 2022/08/03 18:50:41 - mmengine - INFO - Epoch(train) [43][980/1879] lr: 1.0000e-02 eta: 1 day, 23:43:36 time: 0.4392 data_time: 0.0142 memory: 17087 grad_norm: 5.0323 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7747 loss: 1.7747 2022/08/03 18:50:50 - mmengine - INFO - Epoch(train) [43][1000/1879] lr: 1.0000e-02 eta: 1 day, 23:43:27 time: 0.4243 data_time: 0.0153 memory: 17087 grad_norm: 4.9358 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7232 loss: 1.7232 2022/08/03 18:50:58 - mmengine - INFO - Epoch(train) [43][1020/1879] lr: 1.0000e-02 eta: 1 day, 23:43:18 time: 0.4252 data_time: 0.0139 memory: 17087 grad_norm: 4.9342 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5405 loss: 1.5405 2022/08/03 18:51:07 - mmengine - INFO - Epoch(train) [43][1040/1879] lr: 1.0000e-02 eta: 1 day, 23:43:10 time: 0.4301 data_time: 0.0154 memory: 17087 grad_norm: 4.8890 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7193 loss: 1.7193 2022/08/03 18:51:15 - mmengine - INFO - Epoch(train) [43][1060/1879] lr: 1.0000e-02 eta: 1 day, 23:43:01 time: 0.4245 data_time: 0.0162 memory: 17087 grad_norm: 5.0424 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6782 loss: 1.6782 2022/08/03 18:51:24 - mmengine - INFO - Epoch(train) [43][1080/1879] lr: 1.0000e-02 eta: 1 day, 23:42:53 time: 0.4349 data_time: 0.0174 memory: 17087 grad_norm: 4.9679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5083 loss: 1.5083 2022/08/03 18:51:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:51:33 - mmengine - INFO - Epoch(train) [43][1100/1879] lr: 1.0000e-02 eta: 1 day, 23:42:44 time: 0.4248 data_time: 0.0145 memory: 17087 grad_norm: 4.9815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7165 loss: 1.7165 2022/08/03 18:51:41 - mmengine - INFO - Epoch(train) [43][1120/1879] lr: 1.0000e-02 eta: 1 day, 23:42:36 time: 0.4400 data_time: 0.0161 memory: 17087 grad_norm: 4.8088 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6168 loss: 1.6168 2022/08/03 18:51:50 - mmengine - INFO - Epoch(train) [43][1140/1879] lr: 1.0000e-02 eta: 1 day, 23:42:28 time: 0.4244 data_time: 0.0145 memory: 17087 grad_norm: 4.9252 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7782 loss: 1.7782 2022/08/03 18:51:58 - mmengine - INFO - Epoch(train) [43][1160/1879] lr: 1.0000e-02 eta: 1 day, 23:42:19 time: 0.4270 data_time: 0.0151 memory: 17087 grad_norm: 4.8422 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6917 loss: 1.6917 2022/08/03 18:52:07 - mmengine - INFO - Epoch(train) [43][1180/1879] lr: 1.0000e-02 eta: 1 day, 23:42:11 time: 0.4402 data_time: 0.0146 memory: 17087 grad_norm: 4.8819 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7917 loss: 1.7917 2022/08/03 18:52:16 - mmengine - INFO - Epoch(train) [43][1200/1879] lr: 1.0000e-02 eta: 1 day, 23:42:03 time: 0.4260 data_time: 0.0156 memory: 17087 grad_norm: 4.8314 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5956 loss: 1.5956 2022/08/03 18:52:24 - mmengine - INFO - Epoch(train) [43][1220/1879] lr: 1.0000e-02 eta: 1 day, 23:41:54 time: 0.4316 data_time: 0.0154 memory: 17087 grad_norm: 4.9062 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5727 loss: 1.5727 2022/08/03 18:52:33 - mmengine - INFO - Epoch(train) [43][1240/1879] lr: 1.0000e-02 eta: 1 day, 23:41:46 time: 0.4264 data_time: 0.0159 memory: 17087 grad_norm: 4.8853 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6898 loss: 1.6898 2022/08/03 18:52:42 - mmengine - INFO - Epoch(train) [43][1260/1879] lr: 1.0000e-02 eta: 1 day, 23:41:39 time: 0.4483 data_time: 0.0151 memory: 17087 grad_norm: 5.0600 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6261 loss: 1.6261 2022/08/03 18:52:50 - mmengine - INFO - Epoch(train) [43][1280/1879] lr: 1.0000e-02 eta: 1 day, 23:41:30 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 5.0109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6375 loss: 1.6375 2022/08/03 18:52:59 - mmengine - INFO - Epoch(train) [43][1300/1879] lr: 1.0000e-02 eta: 1 day, 23:41:21 time: 0.4247 data_time: 0.0135 memory: 17087 grad_norm: 4.7970 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5208 loss: 1.5208 2022/08/03 18:53:08 - mmengine - INFO - Epoch(train) [43][1320/1879] lr: 1.0000e-02 eta: 1 day, 23:41:14 time: 0.4357 data_time: 0.0174 memory: 17087 grad_norm: 4.9775 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7164 loss: 1.7164 2022/08/03 18:53:16 - mmengine - INFO - Epoch(train) [43][1340/1879] lr: 1.0000e-02 eta: 1 day, 23:41:05 time: 0.4255 data_time: 0.0145 memory: 17087 grad_norm: 4.8390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6016 loss: 1.6016 2022/08/03 18:53:25 - mmengine - INFO - Epoch(train) [43][1360/1879] lr: 1.0000e-02 eta: 1 day, 23:40:56 time: 0.4286 data_time: 0.0206 memory: 17087 grad_norm: 4.9175 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6464 loss: 1.6464 2022/08/03 18:53:34 - mmengine - INFO - Epoch(train) [43][1380/1879] lr: 1.0000e-02 eta: 1 day, 23:40:49 time: 0.4421 data_time: 0.0169 memory: 17087 grad_norm: 4.9900 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7004 loss: 1.7004 2022/08/03 18:53:42 - mmengine - INFO - Epoch(train) [43][1400/1879] lr: 1.0000e-02 eta: 1 day, 23:40:40 time: 0.4254 data_time: 0.0154 memory: 17087 grad_norm: 5.0809 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5594 loss: 1.5594 2022/08/03 18:53:51 - mmengine - INFO - Epoch(train) [43][1420/1879] lr: 1.0000e-02 eta: 1 day, 23:40:31 time: 0.4261 data_time: 0.0150 memory: 17087 grad_norm: 4.8924 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7945 loss: 1.7945 2022/08/03 18:53:59 - mmengine - INFO - Epoch(train) [43][1440/1879] lr: 1.0000e-02 eta: 1 day, 23:40:23 time: 0.4253 data_time: 0.0164 memory: 17087 grad_norm: 5.0278 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5322 loss: 1.5322 2022/08/03 18:54:08 - mmengine - INFO - Epoch(train) [43][1460/1879] lr: 1.0000e-02 eta: 1 day, 23:40:14 time: 0.4243 data_time: 0.0147 memory: 17087 grad_norm: 4.9219 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6417 loss: 1.6417 2022/08/03 18:54:16 - mmengine - INFO - Epoch(train) [43][1480/1879] lr: 1.0000e-02 eta: 1 day, 23:40:05 time: 0.4294 data_time: 0.0158 memory: 17087 grad_norm: 4.9556 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5158 loss: 1.5158 2022/08/03 18:54:25 - mmengine - INFO - Epoch(train) [43][1500/1879] lr: 1.0000e-02 eta: 1 day, 23:39:56 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 5.1176 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8568 loss: 1.8568 2022/08/03 18:54:34 - mmengine - INFO - Epoch(train) [43][1520/1879] lr: 1.0000e-02 eta: 1 day, 23:39:50 time: 0.4469 data_time: 0.0151 memory: 17087 grad_norm: 4.7333 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4568 loss: 1.4568 2022/08/03 18:54:42 - mmengine - INFO - Epoch(train) [43][1540/1879] lr: 1.0000e-02 eta: 1 day, 23:39:41 time: 0.4258 data_time: 0.0154 memory: 17087 grad_norm: 4.9647 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6787 loss: 1.6787 2022/08/03 18:54:52 - mmengine - INFO - Epoch(train) [43][1560/1879] lr: 1.0000e-02 eta: 1 day, 23:39:36 time: 0.4659 data_time: 0.0222 memory: 17087 grad_norm: 4.9238 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6610 loss: 1.6610 2022/08/03 18:55:00 - mmengine - INFO - Epoch(train) [43][1580/1879] lr: 1.0000e-02 eta: 1 day, 23:39:27 time: 0.4229 data_time: 0.0137 memory: 17087 grad_norm: 5.0888 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6152 loss: 1.6152 2022/08/03 18:55:09 - mmengine - INFO - Epoch(train) [43][1600/1879] lr: 1.0000e-02 eta: 1 day, 23:39:19 time: 0.4322 data_time: 0.0212 memory: 17087 grad_norm: 5.0814 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5539 loss: 1.5539 2022/08/03 18:55:18 - mmengine - INFO - Epoch(train) [43][1620/1879] lr: 1.0000e-02 eta: 1 day, 23:39:12 time: 0.4497 data_time: 0.0156 memory: 17087 grad_norm: 4.9702 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6306 loss: 1.6306 2022/08/03 18:55:26 - mmengine - INFO - Epoch(train) [43][1640/1879] lr: 1.0000e-02 eta: 1 day, 23:39:04 time: 0.4302 data_time: 0.0200 memory: 17087 grad_norm: 4.9965 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6886 loss: 1.6886 2022/08/03 18:55:35 - mmengine - INFO - Epoch(train) [43][1660/1879] lr: 1.0000e-02 eta: 1 day, 23:38:55 time: 0.4276 data_time: 0.0147 memory: 17087 grad_norm: 4.9302 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6065 loss: 1.6065 2022/08/03 18:55:43 - mmengine - INFO - Epoch(train) [43][1680/1879] lr: 1.0000e-02 eta: 1 day, 23:38:46 time: 0.4268 data_time: 0.0182 memory: 17087 grad_norm: 4.9225 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8322 loss: 1.8322 2022/08/03 18:55:52 - mmengine - INFO - Epoch(train) [43][1700/1879] lr: 1.0000e-02 eta: 1 day, 23:38:38 time: 0.4292 data_time: 0.0138 memory: 17087 grad_norm: 4.9274 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4138 loss: 1.4138 2022/08/03 18:56:01 - mmengine - INFO - Epoch(train) [43][1720/1879] lr: 1.0000e-02 eta: 1 day, 23:38:29 time: 0.4284 data_time: 0.0200 memory: 17087 grad_norm: 4.8548 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6439 loss: 1.6439 2022/08/03 18:56:09 - mmengine - INFO - Epoch(train) [43][1740/1879] lr: 1.0000e-02 eta: 1 day, 23:38:20 time: 0.4241 data_time: 0.0140 memory: 17087 grad_norm: 4.8921 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6027 loss: 1.6027 2022/08/03 18:56:18 - mmengine - INFO - Epoch(train) [43][1760/1879] lr: 1.0000e-02 eta: 1 day, 23:38:14 time: 0.4529 data_time: 0.0167 memory: 17087 grad_norm: 4.7450 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4762 loss: 1.4762 2022/08/03 18:56:27 - mmengine - INFO - Epoch(train) [43][1780/1879] lr: 1.0000e-02 eta: 1 day, 23:38:06 time: 0.4292 data_time: 0.0194 memory: 17087 grad_norm: 4.8634 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7154 loss: 1.7154 2022/08/03 18:56:36 - mmengine - INFO - Epoch(train) [43][1800/1879] lr: 1.0000e-02 eta: 1 day, 23:38:00 time: 0.4568 data_time: 0.0158 memory: 17087 grad_norm: 5.0232 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6336 loss: 1.6336 2022/08/03 18:56:44 - mmengine - INFO - Epoch(train) [43][1820/1879] lr: 1.0000e-02 eta: 1 day, 23:37:51 time: 0.4241 data_time: 0.0145 memory: 17087 grad_norm: 4.8473 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7476 loss: 1.7476 2022/08/03 18:56:53 - mmengine - INFO - Epoch(train) [43][1840/1879] lr: 1.0000e-02 eta: 1 day, 23:37:43 time: 0.4317 data_time: 0.0164 memory: 17087 grad_norm: 5.0844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7785 loss: 1.7785 2022/08/03 18:57:02 - mmengine - INFO - Epoch(train) [43][1860/1879] lr: 1.0000e-02 eta: 1 day, 23:37:34 time: 0.4240 data_time: 0.0147 memory: 17087 grad_norm: 4.8730 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6766 loss: 1.6766 2022/08/03 18:57:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:57:09 - mmengine - INFO - Epoch(train) [43][1879/1879] lr: 1.0000e-02 eta: 1 day, 23:37:34 time: 0.4119 data_time: 0.0197 memory: 17087 grad_norm: 4.9010 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.5718 loss: 1.5718 2022/08/03 18:57:20 - mmengine - INFO - Epoch(train) [44][20/1879] lr: 1.0000e-02 eta: 1 day, 23:36:49 time: 0.5527 data_time: 0.1061 memory: 17087 grad_norm: 4.9559 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8351 loss: 1.8351 2022/08/03 18:57:29 - mmengine - INFO - Epoch(train) [44][40/1879] lr: 1.0000e-02 eta: 1 day, 23:36:40 time: 0.4269 data_time: 0.0164 memory: 17087 grad_norm: 4.9004 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6002 loss: 1.6002 2022/08/03 18:57:38 - mmengine - INFO - Epoch(train) [44][60/1879] lr: 1.0000e-02 eta: 1 day, 23:36:32 time: 0.4296 data_time: 0.0187 memory: 17087 grad_norm: 4.8455 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7452 loss: 1.7452 2022/08/03 18:57:46 - mmengine - INFO - Epoch(train) [44][80/1879] lr: 1.0000e-02 eta: 1 day, 23:36:23 time: 0.4271 data_time: 0.0160 memory: 17087 grad_norm: 4.9568 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8531 loss: 1.8531 2022/08/03 18:57:55 - mmengine - INFO - Epoch(train) [44][100/1879] lr: 1.0000e-02 eta: 1 day, 23:36:15 time: 0.4335 data_time: 0.0178 memory: 17087 grad_norm: 4.9374 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5901 loss: 1.5901 2022/08/03 18:58:03 - mmengine - INFO - Epoch(train) [44][120/1879] lr: 1.0000e-02 eta: 1 day, 23:36:06 time: 0.4262 data_time: 0.0165 memory: 17087 grad_norm: 4.7748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6279 loss: 1.6279 2022/08/03 18:58:12 - mmengine - INFO - Epoch(train) [44][140/1879] lr: 1.0000e-02 eta: 1 day, 23:35:59 time: 0.4407 data_time: 0.0161 memory: 17087 grad_norm: 4.9625 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5732 loss: 1.5732 2022/08/03 18:58:21 - mmengine - INFO - Epoch(train) [44][160/1879] lr: 1.0000e-02 eta: 1 day, 23:35:51 time: 0.4303 data_time: 0.0219 memory: 17087 grad_norm: 5.0138 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6994 loss: 1.6994 2022/08/03 18:58:29 - mmengine - INFO - Epoch(train) [44][180/1879] lr: 1.0000e-02 eta: 1 day, 23:35:42 time: 0.4242 data_time: 0.0158 memory: 17087 grad_norm: 4.9968 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6094 loss: 1.6094 2022/08/03 18:58:38 - mmengine - INFO - Epoch(train) [44][200/1879] lr: 1.0000e-02 eta: 1 day, 23:35:35 time: 0.4508 data_time: 0.0164 memory: 17087 grad_norm: 4.8272 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6500 loss: 1.6500 2022/08/03 18:58:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 18:58:47 - mmengine - INFO - Epoch(train) [44][220/1879] lr: 1.0000e-02 eta: 1 day, 23:35:27 time: 0.4273 data_time: 0.0156 memory: 17087 grad_norm: 4.7789 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6433 loss: 1.6433 2022/08/03 18:58:55 - mmengine - INFO - Epoch(train) [44][240/1879] lr: 1.0000e-02 eta: 1 day, 23:35:18 time: 0.4311 data_time: 0.0166 memory: 17087 grad_norm: 4.9072 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6863 loss: 1.6863 2022/08/03 18:59:04 - mmengine - INFO - Epoch(train) [44][260/1879] lr: 1.0000e-02 eta: 1 day, 23:35:10 time: 0.4291 data_time: 0.0160 memory: 17087 grad_norm: 4.8433 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7890 loss: 1.7890 2022/08/03 18:59:12 - mmengine - INFO - Epoch(train) [44][280/1879] lr: 1.0000e-02 eta: 1 day, 23:35:01 time: 0.4254 data_time: 0.0151 memory: 17087 grad_norm: 4.9673 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5330 loss: 1.5330 2022/08/03 18:59:21 - mmengine - INFO - Epoch(train) [44][300/1879] lr: 1.0000e-02 eta: 1 day, 23:34:53 time: 0.4283 data_time: 0.0143 memory: 17087 grad_norm: 4.9142 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6575 loss: 1.6575 2022/08/03 18:59:30 - mmengine - INFO - Epoch(train) [44][320/1879] lr: 1.0000e-02 eta: 1 day, 23:34:44 time: 0.4242 data_time: 0.0153 memory: 17087 grad_norm: 4.8895 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5762 loss: 1.5762 2022/08/03 18:59:38 - mmengine - INFO - Epoch(train) [44][340/1879] lr: 1.0000e-02 eta: 1 day, 23:34:35 time: 0.4297 data_time: 0.0157 memory: 17087 grad_norm: 4.9780 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4708 loss: 1.4708 2022/08/03 18:59:47 - mmengine - INFO - Epoch(train) [44][360/1879] lr: 1.0000e-02 eta: 1 day, 23:34:26 time: 0.4273 data_time: 0.0158 memory: 17087 grad_norm: 4.8557 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4380 loss: 1.4380 2022/08/03 18:59:55 - mmengine - INFO - Epoch(train) [44][380/1879] lr: 1.0000e-02 eta: 1 day, 23:34:18 time: 0.4274 data_time: 0.0149 memory: 17087 grad_norm: 4.8659 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8106 loss: 1.8106 2022/08/03 19:00:04 - mmengine - INFO - Epoch(train) [44][400/1879] lr: 1.0000e-02 eta: 1 day, 23:34:09 time: 0.4243 data_time: 0.0156 memory: 17087 grad_norm: 4.9740 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7037 loss: 1.7037 2022/08/03 19:00:13 - mmengine - INFO - Epoch(train) [44][420/1879] lr: 1.0000e-02 eta: 1 day, 23:34:02 time: 0.4408 data_time: 0.0160 memory: 17087 grad_norm: 4.9357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5987 loss: 1.5987 2022/08/03 19:00:21 - mmengine - INFO - Epoch(train) [44][440/1879] lr: 1.0000e-02 eta: 1 day, 23:33:53 time: 0.4241 data_time: 0.0162 memory: 17087 grad_norm: 4.9917 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7730 loss: 1.7730 2022/08/03 19:00:30 - mmengine - INFO - Epoch(train) [44][460/1879] lr: 1.0000e-02 eta: 1 day, 23:33:44 time: 0.4267 data_time: 0.0148 memory: 17087 grad_norm: 4.8710 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6796 loss: 1.6796 2022/08/03 19:00:38 - mmengine - INFO - Epoch(train) [44][480/1879] lr: 1.0000e-02 eta: 1 day, 23:33:36 time: 0.4313 data_time: 0.0182 memory: 17087 grad_norm: 4.9011 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5469 loss: 1.5469 2022/08/03 19:00:47 - mmengine - INFO - Epoch(train) [44][500/1879] lr: 1.0000e-02 eta: 1 day, 23:33:27 time: 0.4281 data_time: 0.0158 memory: 17087 grad_norm: 4.9172 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7611 loss: 1.7611 2022/08/03 19:00:56 - mmengine - INFO - Epoch(train) [44][520/1879] lr: 1.0000e-02 eta: 1 day, 23:33:20 time: 0.4448 data_time: 0.0146 memory: 17087 grad_norm: 4.9312 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5201 loss: 1.5201 2022/08/03 19:01:04 - mmengine - INFO - Epoch(train) [44][540/1879] lr: 1.0000e-02 eta: 1 day, 23:33:11 time: 0.4245 data_time: 0.0145 memory: 17087 grad_norm: 4.9401 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6520 loss: 1.6520 2022/08/03 19:01:13 - mmengine - INFO - Epoch(train) [44][560/1879] lr: 1.0000e-02 eta: 1 day, 23:33:02 time: 0.4271 data_time: 0.0154 memory: 17087 grad_norm: 4.9526 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6765 loss: 1.6765 2022/08/03 19:01:22 - mmengine - INFO - Epoch(train) [44][580/1879] lr: 1.0000e-02 eta: 1 day, 23:32:55 time: 0.4397 data_time: 0.0145 memory: 17087 grad_norm: 4.9534 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7391 loss: 1.7391 2022/08/03 19:01:30 - mmengine - INFO - Epoch(train) [44][600/1879] lr: 1.0000e-02 eta: 1 day, 23:32:47 time: 0.4325 data_time: 0.0176 memory: 17087 grad_norm: 4.9871 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6372 loss: 1.6372 2022/08/03 19:01:39 - mmengine - INFO - Epoch(train) [44][620/1879] lr: 1.0000e-02 eta: 1 day, 23:32:38 time: 0.4266 data_time: 0.0148 memory: 17087 grad_norm: 5.0110 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6696 loss: 1.6696 2022/08/03 19:01:48 - mmengine - INFO - Epoch(train) [44][640/1879] lr: 1.0000e-02 eta: 1 day, 23:32:31 time: 0.4391 data_time: 0.0163 memory: 17087 grad_norm: 4.7609 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4523 loss: 1.4523 2022/08/03 19:01:56 - mmengine - INFO - Epoch(train) [44][660/1879] lr: 1.0000e-02 eta: 1 day, 23:32:23 time: 0.4354 data_time: 0.0163 memory: 17087 grad_norm: 4.7464 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4873 loss: 1.4873 2022/08/03 19:02:05 - mmengine - INFO - Epoch(train) [44][680/1879] lr: 1.0000e-02 eta: 1 day, 23:32:16 time: 0.4468 data_time: 0.0177 memory: 17087 grad_norm: 4.9474 top1_acc: 0.1875 top5_acc: 0.5625 loss_cls: 1.5822 loss: 1.5822 2022/08/03 19:02:14 - mmengine - INFO - Epoch(train) [44][700/1879] lr: 1.0000e-02 eta: 1 day, 23:32:08 time: 0.4334 data_time: 0.0177 memory: 17087 grad_norm: 4.9657 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6134 loss: 1.6134 2022/08/03 19:02:22 - mmengine - INFO - Epoch(train) [44][720/1879] lr: 1.0000e-02 eta: 1 day, 23:31:59 time: 0.4277 data_time: 0.0160 memory: 17087 grad_norm: 4.9281 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5598 loss: 1.5598 2022/08/03 19:02:31 - mmengine - INFO - Epoch(train) [44][740/1879] lr: 1.0000e-02 eta: 1 day, 23:31:50 time: 0.4254 data_time: 0.0144 memory: 17087 grad_norm: 4.8824 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5555 loss: 1.5555 2022/08/03 19:02:39 - mmengine - INFO - Epoch(train) [44][760/1879] lr: 1.0000e-02 eta: 1 day, 23:31:42 time: 0.4268 data_time: 0.0167 memory: 17087 grad_norm: 4.9710 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6431 loss: 1.6431 2022/08/03 19:02:48 - mmengine - INFO - Epoch(train) [44][780/1879] lr: 1.0000e-02 eta: 1 day, 23:31:35 time: 0.4464 data_time: 0.0159 memory: 17087 grad_norm: 4.9281 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5771 loss: 1.5771 2022/08/03 19:02:57 - mmengine - INFO - Epoch(train) [44][800/1879] lr: 1.0000e-02 eta: 1 day, 23:31:26 time: 0.4253 data_time: 0.0152 memory: 17087 grad_norm: 4.9771 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6074 loss: 1.6074 2022/08/03 19:03:05 - mmengine - INFO - Epoch(train) [44][820/1879] lr: 1.0000e-02 eta: 1 day, 23:31:17 time: 0.4270 data_time: 0.0148 memory: 17087 grad_norm: 4.9833 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.6695 loss: 1.6695 2022/08/03 19:03:14 - mmengine - INFO - Epoch(train) [44][840/1879] lr: 1.0000e-02 eta: 1 day, 23:31:08 time: 0.4246 data_time: 0.0168 memory: 17087 grad_norm: 4.8885 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7265 loss: 1.7265 2022/08/03 19:03:23 - mmengine - INFO - Epoch(train) [44][860/1879] lr: 1.0000e-02 eta: 1 day, 23:31:00 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 5.0562 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7738 loss: 1.7738 2022/08/03 19:03:31 - mmengine - INFO - Epoch(train) [44][880/1879] lr: 1.0000e-02 eta: 1 day, 23:30:51 time: 0.4253 data_time: 0.0151 memory: 17087 grad_norm: 4.9857 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7476 loss: 1.7476 2022/08/03 19:03:40 - mmengine - INFO - Epoch(train) [44][900/1879] lr: 1.0000e-02 eta: 1 day, 23:30:42 time: 0.4249 data_time: 0.0143 memory: 17087 grad_norm: 4.8343 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6745 loss: 1.6745 2022/08/03 19:03:48 - mmengine - INFO - Epoch(train) [44][920/1879] lr: 1.0000e-02 eta: 1 day, 23:30:34 time: 0.4298 data_time: 0.0164 memory: 17087 grad_norm: 4.8817 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4541 loss: 1.4541 2022/08/03 19:03:57 - mmengine - INFO - Epoch(train) [44][940/1879] lr: 1.0000e-02 eta: 1 day, 23:30:25 time: 0.4253 data_time: 0.0160 memory: 17087 grad_norm: 4.8052 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5915 loss: 1.5915 2022/08/03 19:04:05 - mmengine - INFO - Epoch(train) [44][960/1879] lr: 1.0000e-02 eta: 1 day, 23:30:16 time: 0.4279 data_time: 0.0194 memory: 17087 grad_norm: 5.0108 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7201 loss: 1.7201 2022/08/03 19:04:14 - mmengine - INFO - Epoch(train) [44][980/1879] lr: 1.0000e-02 eta: 1 day, 23:30:07 time: 0.4230 data_time: 0.0148 memory: 17087 grad_norm: 5.0080 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3963 loss: 1.3963 2022/08/03 19:04:23 - mmengine - INFO - Epoch(train) [44][1000/1879] lr: 1.0000e-02 eta: 1 day, 23:30:00 time: 0.4467 data_time: 0.0165 memory: 17087 grad_norm: 4.9261 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8512 loss: 1.8512 2022/08/03 19:04:31 - mmengine - INFO - Epoch(train) [44][1020/1879] lr: 1.0000e-02 eta: 1 day, 23:29:51 time: 0.4222 data_time: 0.0134 memory: 17087 grad_norm: 4.8429 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4782 loss: 1.4782 2022/08/03 19:04:40 - mmengine - INFO - Epoch(train) [44][1040/1879] lr: 1.0000e-02 eta: 1 day, 23:29:43 time: 0.4330 data_time: 0.0212 memory: 17087 grad_norm: 4.9731 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8405 loss: 1.8405 2022/08/03 19:04:48 - mmengine - INFO - Epoch(train) [44][1060/1879] lr: 1.0000e-02 eta: 1 day, 23:29:34 time: 0.4244 data_time: 0.0151 memory: 17087 grad_norm: 4.8389 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6216 loss: 1.6216 2022/08/03 19:04:57 - mmengine - INFO - Epoch(train) [44][1080/1879] lr: 1.0000e-02 eta: 1 day, 23:29:25 time: 0.4288 data_time: 0.0161 memory: 17087 grad_norm: 4.8593 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7640 loss: 1.7640 2022/08/03 19:05:05 - mmengine - INFO - Epoch(train) [44][1100/1879] lr: 1.0000e-02 eta: 1 day, 23:29:16 time: 0.4226 data_time: 0.0143 memory: 17087 grad_norm: 4.9732 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5303 loss: 1.5303 2022/08/03 19:05:14 - mmengine - INFO - Epoch(train) [44][1120/1879] lr: 1.0000e-02 eta: 1 day, 23:29:09 time: 0.4404 data_time: 0.0168 memory: 17087 grad_norm: 4.9941 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5221 loss: 1.5221 2022/08/03 19:05:23 - mmengine - INFO - Epoch(train) [44][1140/1879] lr: 1.0000e-02 eta: 1 day, 23:29:00 time: 0.4240 data_time: 0.0135 memory: 17087 grad_norm: 5.0451 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5311 loss: 1.5311 2022/08/03 19:05:31 - mmengine - INFO - Epoch(train) [44][1160/1879] lr: 1.0000e-02 eta: 1 day, 23:28:52 time: 0.4372 data_time: 0.0226 memory: 17087 grad_norm: 4.9582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5908 loss: 1.5908 2022/08/03 19:05:40 - mmengine - INFO - Epoch(train) [44][1180/1879] lr: 1.0000e-02 eta: 1 day, 23:28:43 time: 0.4224 data_time: 0.0141 memory: 17087 grad_norm: 4.8721 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6496 loss: 1.6496 2022/08/03 19:05:48 - mmengine - INFO - Epoch(train) [44][1200/1879] lr: 1.0000e-02 eta: 1 day, 23:28:34 time: 0.4271 data_time: 0.0163 memory: 17087 grad_norm: 4.6666 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5411 loss: 1.5411 2022/08/03 19:05:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:05:57 - mmengine - INFO - Epoch(train) [44][1220/1879] lr: 1.0000e-02 eta: 1 day, 23:28:28 time: 0.4464 data_time: 0.0122 memory: 17087 grad_norm: 4.8795 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5610 loss: 1.5610 2022/08/03 19:06:06 - mmengine - INFO - Epoch(train) [44][1240/1879] lr: 1.0000e-02 eta: 1 day, 23:28:19 time: 0.4303 data_time: 0.0215 memory: 17087 grad_norm: 4.8098 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8333 loss: 1.8333 2022/08/03 19:06:14 - mmengine - INFO - Epoch(train) [44][1260/1879] lr: 1.0000e-02 eta: 1 day, 23:28:10 time: 0.4247 data_time: 0.0125 memory: 17087 grad_norm: 4.8140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5922 loss: 1.5922 2022/08/03 19:06:23 - mmengine - INFO - Epoch(train) [44][1280/1879] lr: 1.0000e-02 eta: 1 day, 23:28:01 time: 0.4245 data_time: 0.0162 memory: 17087 grad_norm: 4.9554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5799 loss: 1.5799 2022/08/03 19:06:32 - mmengine - INFO - Epoch(train) [44][1300/1879] lr: 1.0000e-02 eta: 1 day, 23:27:55 time: 0.4485 data_time: 0.0143 memory: 17087 grad_norm: 4.9199 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7764 loss: 1.7764 2022/08/03 19:06:40 - mmengine - INFO - Epoch(train) [44][1320/1879] lr: 1.0000e-02 eta: 1 day, 23:27:46 time: 0.4252 data_time: 0.0146 memory: 17087 grad_norm: 4.8973 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5610 loss: 1.5610 2022/08/03 19:06:49 - mmengine - INFO - Epoch(train) [44][1340/1879] lr: 1.0000e-02 eta: 1 day, 23:27:37 time: 0.4240 data_time: 0.0134 memory: 17087 grad_norm: 5.0472 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7185 loss: 1.7185 2022/08/03 19:06:58 - mmengine - INFO - Epoch(train) [44][1360/1879] lr: 1.0000e-02 eta: 1 day, 23:27:30 time: 0.4431 data_time: 0.0163 memory: 17087 grad_norm: 4.9629 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7656 loss: 1.7656 2022/08/03 19:07:06 - mmengine - INFO - Epoch(train) [44][1380/1879] lr: 1.0000e-02 eta: 1 day, 23:27:21 time: 0.4239 data_time: 0.0128 memory: 17087 grad_norm: 4.8943 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5559 loss: 1.5559 2022/08/03 19:07:15 - mmengine - INFO - Epoch(train) [44][1400/1879] lr: 1.0000e-02 eta: 1 day, 23:27:12 time: 0.4279 data_time: 0.0155 memory: 17087 grad_norm: 4.9728 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8474 loss: 1.8474 2022/08/03 19:07:23 - mmengine - INFO - Epoch(train) [44][1420/1879] lr: 1.0000e-02 eta: 1 day, 23:27:03 time: 0.4254 data_time: 0.0144 memory: 17087 grad_norm: 5.0292 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6772 loss: 1.6772 2022/08/03 19:07:32 - mmengine - INFO - Epoch(train) [44][1440/1879] lr: 1.0000e-02 eta: 1 day, 23:26:56 time: 0.4378 data_time: 0.0184 memory: 17087 grad_norm: 4.9036 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5955 loss: 1.5955 2022/08/03 19:07:41 - mmengine - INFO - Epoch(train) [44][1460/1879] lr: 1.0000e-02 eta: 1 day, 23:26:47 time: 0.4248 data_time: 0.0138 memory: 17087 grad_norm: 4.9017 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8291 loss: 1.8291 2022/08/03 19:07:49 - mmengine - INFO - Epoch(train) [44][1480/1879] lr: 1.0000e-02 eta: 1 day, 23:26:38 time: 0.4278 data_time: 0.0192 memory: 17087 grad_norm: 4.7218 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5670 loss: 1.5670 2022/08/03 19:07:58 - mmengine - INFO - Epoch(train) [44][1500/1879] lr: 1.0000e-02 eta: 1 day, 23:26:30 time: 0.4368 data_time: 0.0162 memory: 17087 grad_norm: 4.8179 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3829 loss: 1.3829 2022/08/03 19:08:06 - mmengine - INFO - Epoch(train) [44][1520/1879] lr: 1.0000e-02 eta: 1 day, 23:26:22 time: 0.4251 data_time: 0.0167 memory: 17087 grad_norm: 4.8633 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.7176 loss: 1.7176 2022/08/03 19:08:15 - mmengine - INFO - Epoch(train) [44][1540/1879] lr: 1.0000e-02 eta: 1 day, 23:26:13 time: 0.4272 data_time: 0.0156 memory: 17087 grad_norm: 4.8977 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6971 loss: 1.6971 2022/08/03 19:08:23 - mmengine - INFO - Epoch(train) [44][1560/1879] lr: 1.0000e-02 eta: 1 day, 23:26:04 time: 0.4291 data_time: 0.0180 memory: 17087 grad_norm: 4.9613 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7395 loss: 1.7395 2022/08/03 19:08:32 - mmengine - INFO - Epoch(train) [44][1580/1879] lr: 1.0000e-02 eta: 1 day, 23:25:57 time: 0.4452 data_time: 0.0158 memory: 17087 grad_norm: 4.8515 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6795 loss: 1.6795 2022/08/03 19:08:41 - mmengine - INFO - Epoch(train) [44][1600/1879] lr: 1.0000e-02 eta: 1 day, 23:25:48 time: 0.4248 data_time: 0.0148 memory: 17087 grad_norm: 4.7715 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6736 loss: 1.6736 2022/08/03 19:08:50 - mmengine - INFO - Epoch(train) [44][1620/1879] lr: 1.0000e-02 eta: 1 day, 23:25:41 time: 0.4354 data_time: 0.0189 memory: 17087 grad_norm: 4.9501 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8018 loss: 1.8018 2022/08/03 19:08:58 - mmengine - INFO - Epoch(train) [44][1640/1879] lr: 1.0000e-02 eta: 1 day, 23:25:32 time: 0.4263 data_time: 0.0159 memory: 17087 grad_norm: 5.0103 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6676 loss: 1.6676 2022/08/03 19:09:07 - mmengine - INFO - Epoch(train) [44][1660/1879] lr: 1.0000e-02 eta: 1 day, 23:25:24 time: 0.4311 data_time: 0.0131 memory: 17087 grad_norm: 4.8710 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4515 loss: 1.4515 2022/08/03 19:09:15 - mmengine - INFO - Epoch(train) [44][1680/1879] lr: 1.0000e-02 eta: 1 day, 23:25:15 time: 0.4265 data_time: 0.0162 memory: 17087 grad_norm: 4.9959 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5275 loss: 1.5275 2022/08/03 19:09:24 - mmengine - INFO - Epoch(train) [44][1700/1879] lr: 1.0000e-02 eta: 1 day, 23:25:06 time: 0.4286 data_time: 0.0143 memory: 17087 grad_norm: 5.0319 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8624 loss: 1.8624 2022/08/03 19:09:32 - mmengine - INFO - Epoch(train) [44][1720/1879] lr: 1.0000e-02 eta: 1 day, 23:24:57 time: 0.4246 data_time: 0.0162 memory: 17087 grad_norm: 4.9666 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7594 loss: 1.7594 2022/08/03 19:09:41 - mmengine - INFO - Epoch(train) [44][1740/1879] lr: 1.0000e-02 eta: 1 day, 23:24:48 time: 0.4248 data_time: 0.0125 memory: 17087 grad_norm: 4.9070 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6068 loss: 1.6068 2022/08/03 19:09:49 - mmengine - INFO - Epoch(train) [44][1760/1879] lr: 1.0000e-02 eta: 1 day, 23:24:40 time: 0.4254 data_time: 0.0159 memory: 17087 grad_norm: 4.9778 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6718 loss: 1.6718 2022/08/03 19:09:58 - mmengine - INFO - Epoch(train) [44][1780/1879] lr: 1.0000e-02 eta: 1 day, 23:24:31 time: 0.4251 data_time: 0.0147 memory: 17087 grad_norm: 4.9201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6960 loss: 1.6960 2022/08/03 19:10:06 - mmengine - INFO - Epoch(train) [44][1800/1879] lr: 1.0000e-02 eta: 1 day, 23:24:22 time: 0.4265 data_time: 0.0157 memory: 17087 grad_norm: 5.1049 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7086 loss: 1.7086 2022/08/03 19:10:15 - mmengine - INFO - Epoch(train) [44][1820/1879] lr: 1.0000e-02 eta: 1 day, 23:24:13 time: 0.4230 data_time: 0.0129 memory: 17087 grad_norm: 4.8455 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6120 loss: 1.6120 2022/08/03 19:10:24 - mmengine - INFO - Epoch(train) [44][1840/1879] lr: 1.0000e-02 eta: 1 day, 23:24:06 time: 0.4437 data_time: 0.0157 memory: 17087 grad_norm: 4.9632 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6579 loss: 1.6579 2022/08/03 19:10:32 - mmengine - INFO - Epoch(train) [44][1860/1879] lr: 1.0000e-02 eta: 1 day, 23:23:57 time: 0.4243 data_time: 0.0139 memory: 17087 grad_norm: 4.8463 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7821 loss: 1.7821 2022/08/03 19:10:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:10:40 - mmengine - INFO - Epoch(train) [44][1879/1879] lr: 1.0000e-02 eta: 1 day, 23:23:57 time: 0.4053 data_time: 0.0137 memory: 17087 grad_norm: 4.9011 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6005 loss: 1.6005 2022/08/03 19:10:40 - mmengine - INFO - Saving checkpoint at 44 epochs 2022/08/03 19:10:54 - mmengine - INFO - Epoch(train) [45][20/1879] lr: 1.0000e-02 eta: 1 day, 23:23:11 time: 0.5335 data_time: 0.1077 memory: 17087 grad_norm: 4.8778 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4345 loss: 1.4345 2022/08/03 19:11:03 - mmengine - INFO - Epoch(train) [45][40/1879] lr: 1.0000e-02 eta: 1 day, 23:23:03 time: 0.4305 data_time: 0.0228 memory: 17087 grad_norm: 4.8404 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6531 loss: 1.6531 2022/08/03 19:11:11 - mmengine - INFO - Epoch(train) [45][60/1879] lr: 1.0000e-02 eta: 1 day, 23:22:54 time: 0.4246 data_time: 0.0139 memory: 17087 grad_norm: 4.9512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6565 loss: 1.6565 2022/08/03 19:11:20 - mmengine - INFO - Epoch(train) [45][80/1879] lr: 1.0000e-02 eta: 1 day, 23:22:45 time: 0.4267 data_time: 0.0159 memory: 17087 grad_norm: 4.8750 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.6724 loss: 1.6724 2022/08/03 19:11:28 - mmengine - INFO - Epoch(train) [45][100/1879] lr: 1.0000e-02 eta: 1 day, 23:22:37 time: 0.4304 data_time: 0.0143 memory: 17087 grad_norm: 4.7661 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5155 loss: 1.5155 2022/08/03 19:11:37 - mmengine - INFO - Epoch(train) [45][120/1879] lr: 1.0000e-02 eta: 1 day, 23:22:28 time: 0.4250 data_time: 0.0158 memory: 17087 grad_norm: 4.8869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6774 loss: 1.6774 2022/08/03 19:11:46 - mmengine - INFO - Epoch(train) [45][140/1879] lr: 1.0000e-02 eta: 1 day, 23:22:21 time: 0.4502 data_time: 0.0185 memory: 17087 grad_norm: 4.8438 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5616 loss: 1.5616 2022/08/03 19:11:55 - mmengine - INFO - Epoch(train) [45][160/1879] lr: 1.0000e-02 eta: 1 day, 23:22:13 time: 0.4314 data_time: 0.0209 memory: 17087 grad_norm: 4.8640 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6512 loss: 1.6512 2022/08/03 19:12:03 - mmengine - INFO - Epoch(train) [45][180/1879] lr: 1.0000e-02 eta: 1 day, 23:22:06 time: 0.4421 data_time: 0.0146 memory: 17087 grad_norm: 5.0211 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5796 loss: 1.5796 2022/08/03 19:12:12 - mmengine - INFO - Epoch(train) [45][200/1879] lr: 1.0000e-02 eta: 1 day, 23:21:57 time: 0.4259 data_time: 0.0180 memory: 17087 grad_norm: 4.9228 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4292 loss: 1.4292 2022/08/03 19:12:20 - mmengine - INFO - Epoch(train) [45][220/1879] lr: 1.0000e-02 eta: 1 day, 23:21:48 time: 0.4236 data_time: 0.0134 memory: 17087 grad_norm: 4.9946 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5606 loss: 1.5606 2022/08/03 19:12:29 - mmengine - INFO - Epoch(train) [45][240/1879] lr: 1.0000e-02 eta: 1 day, 23:21:40 time: 0.4325 data_time: 0.0170 memory: 17087 grad_norm: 4.9824 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5663 loss: 1.5663 2022/08/03 19:12:38 - mmengine - INFO - Epoch(train) [45][260/1879] lr: 1.0000e-02 eta: 1 day, 23:21:31 time: 0.4241 data_time: 0.0134 memory: 17087 grad_norm: 5.0229 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8339 loss: 1.8339 2022/08/03 19:12:46 - mmengine - INFO - Epoch(train) [45][280/1879] lr: 1.0000e-02 eta: 1 day, 23:21:22 time: 0.4278 data_time: 0.0156 memory: 17087 grad_norm: 4.9911 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6158 loss: 1.6158 2022/08/03 19:12:55 - mmengine - INFO - Epoch(train) [45][300/1879] lr: 1.0000e-02 eta: 1 day, 23:21:14 time: 0.4264 data_time: 0.0140 memory: 17087 grad_norm: 4.9727 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5758 loss: 1.5758 2022/08/03 19:13:04 - mmengine - INFO - Epoch(train) [45][320/1879] lr: 1.0000e-02 eta: 1 day, 23:21:07 time: 0.4529 data_time: 0.0158 memory: 17087 grad_norm: 4.9797 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7409 loss: 1.7409 2022/08/03 19:13:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:13:12 - mmengine - INFO - Epoch(train) [45][340/1879] lr: 1.0000e-02 eta: 1 day, 23:20:59 time: 0.4325 data_time: 0.0209 memory: 17087 grad_norm: 4.9871 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7830 loss: 1.7830 2022/08/03 19:13:21 - mmengine - INFO - Epoch(train) [45][360/1879] lr: 1.0000e-02 eta: 1 day, 23:20:50 time: 0.4240 data_time: 0.0150 memory: 17087 grad_norm: 4.8926 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7412 loss: 1.7412 2022/08/03 19:13:29 - mmengine - INFO - Epoch(train) [45][380/1879] lr: 1.0000e-02 eta: 1 day, 23:20:42 time: 0.4279 data_time: 0.0186 memory: 17087 grad_norm: 4.8902 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6761 loss: 1.6761 2022/08/03 19:13:38 - mmengine - INFO - Epoch(train) [45][400/1879] lr: 1.0000e-02 eta: 1 day, 23:20:33 time: 0.4250 data_time: 0.0167 memory: 17087 grad_norm: 4.9912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6684 loss: 1.6684 2022/08/03 19:13:47 - mmengine - INFO - Epoch(train) [45][420/1879] lr: 1.0000e-02 eta: 1 day, 23:20:24 time: 0.4276 data_time: 0.0143 memory: 17087 grad_norm: 4.9605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5735 loss: 1.5735 2022/08/03 19:13:55 - mmengine - INFO - Epoch(train) [45][440/1879] lr: 1.0000e-02 eta: 1 day, 23:20:15 time: 0.4240 data_time: 0.0145 memory: 17087 grad_norm: 5.0092 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6206 loss: 1.6206 2022/08/03 19:14:04 - mmengine - INFO - Epoch(train) [45][460/1879] lr: 1.0000e-02 eta: 1 day, 23:20:06 time: 0.4251 data_time: 0.0139 memory: 17087 grad_norm: 4.9777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5769 loss: 1.5769 2022/08/03 19:14:12 - mmengine - INFO - Epoch(train) [45][480/1879] lr: 1.0000e-02 eta: 1 day, 23:19:57 time: 0.4254 data_time: 0.0160 memory: 17087 grad_norm: 4.9269 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8241 loss: 1.8241 2022/08/03 19:14:21 - mmengine - INFO - Epoch(train) [45][500/1879] lr: 1.0000e-02 eta: 1 day, 23:19:48 time: 0.4236 data_time: 0.0135 memory: 17087 grad_norm: 4.9388 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7204 loss: 1.7204 2022/08/03 19:14:29 - mmengine - INFO - Epoch(train) [45][520/1879] lr: 1.0000e-02 eta: 1 day, 23:19:40 time: 0.4291 data_time: 0.0189 memory: 17087 grad_norm: 4.9994 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6151 loss: 1.6151 2022/08/03 19:14:38 - mmengine - INFO - Epoch(train) [45][540/1879] lr: 1.0000e-02 eta: 1 day, 23:19:31 time: 0.4245 data_time: 0.0128 memory: 17087 grad_norm: 4.9842 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4620 loss: 1.4620 2022/08/03 19:14:46 - mmengine - INFO - Epoch(train) [45][560/1879] lr: 1.0000e-02 eta: 1 day, 23:19:23 time: 0.4338 data_time: 0.0179 memory: 17087 grad_norm: 5.0278 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7522 loss: 1.7522 2022/08/03 19:14:55 - mmengine - INFO - Epoch(train) [45][580/1879] lr: 1.0000e-02 eta: 1 day, 23:19:15 time: 0.4293 data_time: 0.0159 memory: 17087 grad_norm: 4.8916 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6366 loss: 1.6366 2022/08/03 19:15:04 - mmengine - INFO - Epoch(train) [45][600/1879] lr: 1.0000e-02 eta: 1 day, 23:19:07 time: 0.4397 data_time: 0.0161 memory: 17087 grad_norm: 4.9403 top1_acc: 0.3750 top5_acc: 0.9375 loss_cls: 1.7202 loss: 1.7202 2022/08/03 19:15:13 - mmengine - INFO - Epoch(train) [45][620/1879] lr: 1.0000e-02 eta: 1 day, 23:19:00 time: 0.4433 data_time: 0.0174 memory: 17087 grad_norm: 4.8968 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6468 loss: 1.6468 2022/08/03 19:15:21 - mmengine - INFO - Epoch(train) [45][640/1879] lr: 1.0000e-02 eta: 1 day, 23:18:51 time: 0.4240 data_time: 0.0151 memory: 17087 grad_norm: 4.9547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5811 loss: 1.5811 2022/08/03 19:15:30 - mmengine - INFO - Epoch(train) [45][660/1879] lr: 1.0000e-02 eta: 1 day, 23:18:42 time: 0.4244 data_time: 0.0141 memory: 17087 grad_norm: 4.9427 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4761 loss: 1.4761 2022/08/03 19:15:38 - mmengine - INFO - Epoch(train) [45][680/1879] lr: 1.0000e-02 eta: 1 day, 23:18:34 time: 0.4306 data_time: 0.0164 memory: 17087 grad_norm: 4.9219 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5539 loss: 1.5539 2022/08/03 19:15:47 - mmengine - INFO - Epoch(train) [45][700/1879] lr: 1.0000e-02 eta: 1 day, 23:18:25 time: 0.4299 data_time: 0.0184 memory: 17087 grad_norm: 4.9022 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6118 loss: 1.6118 2022/08/03 19:15:55 - mmengine - INFO - Epoch(train) [45][720/1879] lr: 1.0000e-02 eta: 1 day, 23:18:17 time: 0.4342 data_time: 0.0186 memory: 17087 grad_norm: 4.9498 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5683 loss: 1.5683 2022/08/03 19:16:04 - mmengine - INFO - Epoch(train) [45][740/1879] lr: 1.0000e-02 eta: 1 day, 23:18:09 time: 0.4278 data_time: 0.0172 memory: 17087 grad_norm: 5.0181 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4997 loss: 1.4997 2022/08/03 19:16:13 - mmengine - INFO - Epoch(train) [45][760/1879] lr: 1.0000e-02 eta: 1 day, 23:18:00 time: 0.4300 data_time: 0.0171 memory: 17087 grad_norm: 4.8263 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5552 loss: 1.5552 2022/08/03 19:16:21 - mmengine - INFO - Epoch(train) [45][780/1879] lr: 1.0000e-02 eta: 1 day, 23:17:51 time: 0.4211 data_time: 0.0156 memory: 17087 grad_norm: 5.1163 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5849 loss: 1.5849 2022/08/03 19:16:30 - mmengine - INFO - Epoch(train) [45][800/1879] lr: 1.0000e-02 eta: 1 day, 23:17:42 time: 0.4250 data_time: 0.0163 memory: 17087 grad_norm: 5.1067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5794 loss: 1.5794 2022/08/03 19:16:38 - mmengine - INFO - Epoch(train) [45][820/1879] lr: 1.0000e-02 eta: 1 day, 23:17:35 time: 0.4386 data_time: 0.0142 memory: 17087 grad_norm: 4.9174 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5787 loss: 1.5787 2022/08/03 19:16:47 - mmengine - INFO - Epoch(train) [45][840/1879] lr: 1.0000e-02 eta: 1 day, 23:17:26 time: 0.4306 data_time: 0.0201 memory: 17087 grad_norm: 4.9823 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.9317 loss: 1.9317 2022/08/03 19:16:56 - mmengine - INFO - Epoch(train) [45][860/1879] lr: 1.0000e-02 eta: 1 day, 23:17:18 time: 0.4288 data_time: 0.0156 memory: 17087 grad_norm: 4.8480 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.7223 loss: 1.7223 2022/08/03 19:17:04 - mmengine - INFO - Epoch(train) [45][880/1879] lr: 1.0000e-02 eta: 1 day, 23:17:10 time: 0.4382 data_time: 0.0164 memory: 17087 grad_norm: 4.8816 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7041 loss: 1.7041 2022/08/03 19:17:13 - mmengine - INFO - Epoch(train) [45][900/1879] lr: 1.0000e-02 eta: 1 day, 23:17:01 time: 0.4235 data_time: 0.0141 memory: 17087 grad_norm: 5.0128 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5711 loss: 1.5711 2022/08/03 19:17:22 - mmengine - INFO - Epoch(train) [45][920/1879] lr: 1.0000e-02 eta: 1 day, 23:16:53 time: 0.4366 data_time: 0.0215 memory: 17087 grad_norm: 5.0703 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7654 loss: 1.7654 2022/08/03 19:17:30 - mmengine - INFO - Epoch(train) [45][940/1879] lr: 1.0000e-02 eta: 1 day, 23:16:44 time: 0.4245 data_time: 0.0136 memory: 17087 grad_norm: 4.8688 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.8663 loss: 1.8663 2022/08/03 19:17:39 - mmengine - INFO - Epoch(train) [45][960/1879] lr: 1.0000e-02 eta: 1 day, 23:16:36 time: 0.4312 data_time: 0.0163 memory: 17087 grad_norm: 4.7482 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6446 loss: 1.6446 2022/08/03 19:17:47 - mmengine - INFO - Epoch(train) [45][980/1879] lr: 1.0000e-02 eta: 1 day, 23:16:27 time: 0.4241 data_time: 0.0133 memory: 17087 grad_norm: 4.8396 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.9156 loss: 1.9156 2022/08/03 19:17:56 - mmengine - INFO - Epoch(train) [45][1000/1879] lr: 1.0000e-02 eta: 1 day, 23:16:20 time: 0.4400 data_time: 0.0157 memory: 17087 grad_norm: 4.8603 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6588 loss: 1.6588 2022/08/03 19:18:05 - mmengine - INFO - Epoch(train) [45][1020/1879] lr: 1.0000e-02 eta: 1 day, 23:16:11 time: 0.4285 data_time: 0.0192 memory: 17087 grad_norm: 4.8933 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6729 loss: 1.6729 2022/08/03 19:18:13 - mmengine - INFO - Epoch(train) [45][1040/1879] lr: 1.0000e-02 eta: 1 day, 23:16:02 time: 0.4254 data_time: 0.0166 memory: 17087 grad_norm: 4.7979 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5830 loss: 1.5830 2022/08/03 19:18:22 - mmengine - INFO - Epoch(train) [45][1060/1879] lr: 1.0000e-02 eta: 1 day, 23:15:53 time: 0.4233 data_time: 0.0142 memory: 17087 grad_norm: 5.0360 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6174 loss: 1.6174 2022/08/03 19:18:30 - mmengine - INFO - Epoch(train) [45][1080/1879] lr: 1.0000e-02 eta: 1 day, 23:15:44 time: 0.4264 data_time: 0.0160 memory: 17087 grad_norm: 4.8816 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5823 loss: 1.5823 2022/08/03 19:18:39 - mmengine - INFO - Epoch(train) [45][1100/1879] lr: 1.0000e-02 eta: 1 day, 23:15:36 time: 0.4268 data_time: 0.0172 memory: 17087 grad_norm: 4.9353 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6143 loss: 1.6143 2022/08/03 19:18:47 - mmengine - INFO - Epoch(train) [45][1120/1879] lr: 1.0000e-02 eta: 1 day, 23:15:28 time: 0.4363 data_time: 0.0198 memory: 17087 grad_norm: 4.7870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5833 loss: 1.5833 2022/08/03 19:18:56 - mmengine - INFO - Epoch(train) [45][1140/1879] lr: 1.0000e-02 eta: 1 day, 23:15:20 time: 0.4316 data_time: 0.0148 memory: 17087 grad_norm: 4.8360 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5800 loss: 1.5800 2022/08/03 19:19:05 - mmengine - INFO - Epoch(train) [45][1160/1879] lr: 1.0000e-02 eta: 1 day, 23:15:12 time: 0.4363 data_time: 0.0157 memory: 17087 grad_norm: 4.8677 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7907 loss: 1.7907 2022/08/03 19:19:13 - mmengine - INFO - Epoch(train) [45][1180/1879] lr: 1.0000e-02 eta: 1 day, 23:15:03 time: 0.4241 data_time: 0.0145 memory: 17087 grad_norm: 5.0789 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7665 loss: 1.7665 2022/08/03 19:19:22 - mmengine - INFO - Epoch(train) [45][1200/1879] lr: 1.0000e-02 eta: 1 day, 23:14:55 time: 0.4378 data_time: 0.0161 memory: 17087 grad_norm: 5.0423 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5488 loss: 1.5488 2022/08/03 19:19:31 - mmengine - INFO - Epoch(train) [45][1220/1879] lr: 1.0000e-02 eta: 1 day, 23:14:49 time: 0.4493 data_time: 0.0168 memory: 17087 grad_norm: 5.0204 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6451 loss: 1.6451 2022/08/03 19:19:39 - mmengine - INFO - Epoch(train) [45][1240/1879] lr: 1.0000e-02 eta: 1 day, 23:14:40 time: 0.4264 data_time: 0.0158 memory: 17087 grad_norm: 4.8945 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7031 loss: 1.7031 2022/08/03 19:19:49 - mmengine - INFO - Epoch(train) [45][1260/1879] lr: 1.0000e-02 eta: 1 day, 23:14:34 time: 0.4542 data_time: 0.0149 memory: 17087 grad_norm: 4.8578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4504 loss: 1.4504 2022/08/03 19:19:57 - mmengine - INFO - Epoch(train) [45][1280/1879] lr: 1.0000e-02 eta: 1 day, 23:14:26 time: 0.4314 data_time: 0.0210 memory: 17087 grad_norm: 4.7798 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5324 loss: 1.5324 2022/08/03 19:20:06 - mmengine - INFO - Epoch(train) [45][1300/1879] lr: 1.0000e-02 eta: 1 day, 23:14:20 time: 0.4581 data_time: 0.0143 memory: 17087 grad_norm: 4.9886 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7873 loss: 1.7873 2022/08/03 19:20:15 - mmengine - INFO - Epoch(train) [45][1320/1879] lr: 1.0000e-02 eta: 1 day, 23:14:11 time: 0.4289 data_time: 0.0208 memory: 17087 grad_norm: 4.9047 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4360 loss: 1.4360 2022/08/03 19:20:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:20:24 - mmengine - INFO - Epoch(train) [45][1340/1879] lr: 1.0000e-02 eta: 1 day, 23:14:06 time: 0.4618 data_time: 0.0266 memory: 17087 grad_norm: 4.8346 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5140 loss: 1.5140 2022/08/03 19:20:33 - mmengine - INFO - Epoch(train) [45][1360/1879] lr: 1.0000e-02 eta: 1 day, 23:13:57 time: 0.4267 data_time: 0.0159 memory: 17087 grad_norm: 4.8879 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7665 loss: 1.7665 2022/08/03 19:20:42 - mmengine - INFO - Epoch(train) [45][1380/1879] lr: 1.0000e-02 eta: 1 day, 23:13:50 time: 0.4464 data_time: 0.0199 memory: 17087 grad_norm: 4.7907 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6142 loss: 1.6142 2022/08/03 19:20:50 - mmengine - INFO - Epoch(train) [45][1400/1879] lr: 1.0000e-02 eta: 1 day, 23:13:42 time: 0.4269 data_time: 0.0153 memory: 17087 grad_norm: 4.9159 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.9127 loss: 1.9127 2022/08/03 19:20:59 - mmengine - INFO - Epoch(train) [45][1420/1879] lr: 1.0000e-02 eta: 1 day, 23:13:34 time: 0.4384 data_time: 0.0154 memory: 17087 grad_norm: 4.7629 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7042 loss: 1.7042 2022/08/03 19:21:08 - mmengine - INFO - Epoch(train) [45][1440/1879] lr: 1.0000e-02 eta: 1 day, 23:13:26 time: 0.4294 data_time: 0.0169 memory: 17087 grad_norm: 4.8307 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6368 loss: 1.6368 2022/08/03 19:21:16 - mmengine - INFO - Epoch(train) [45][1460/1879] lr: 1.0000e-02 eta: 1 day, 23:13:17 time: 0.4267 data_time: 0.0157 memory: 17087 grad_norm: 4.9183 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6792 loss: 1.6792 2022/08/03 19:21:25 - mmengine - INFO - Epoch(train) [45][1480/1879] lr: 1.0000e-02 eta: 1 day, 23:13:08 time: 0.4242 data_time: 0.0158 memory: 17087 grad_norm: 4.7540 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4160 loss: 1.4160 2022/08/03 19:21:33 - mmengine - INFO - Epoch(train) [45][1500/1879] lr: 1.0000e-02 eta: 1 day, 23:12:59 time: 0.4247 data_time: 0.0146 memory: 17087 grad_norm: 4.8859 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7417 loss: 1.7417 2022/08/03 19:21:42 - mmengine - INFO - Epoch(train) [45][1520/1879] lr: 1.0000e-02 eta: 1 day, 23:12:50 time: 0.4269 data_time: 0.0169 memory: 17087 grad_norm: 4.8631 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6873 loss: 1.6873 2022/08/03 19:21:50 - mmengine - INFO - Epoch(train) [45][1540/1879] lr: 1.0000e-02 eta: 1 day, 23:12:43 time: 0.4375 data_time: 0.0144 memory: 17087 grad_norm: 4.9719 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6682 loss: 1.6682 2022/08/03 19:21:59 - mmengine - INFO - Epoch(train) [45][1560/1879] lr: 1.0000e-02 eta: 1 day, 23:12:34 time: 0.4256 data_time: 0.0149 memory: 17087 grad_norm: 4.8511 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7535 loss: 1.7535 2022/08/03 19:22:08 - mmengine - INFO - Epoch(train) [45][1580/1879] lr: 1.0000e-02 eta: 1 day, 23:12:27 time: 0.4486 data_time: 0.0172 memory: 17087 grad_norm: 4.8649 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6052 loss: 1.6052 2022/08/03 19:22:17 - mmengine - INFO - Epoch(train) [45][1600/1879] lr: 1.0000e-02 eta: 1 day, 23:12:19 time: 0.4325 data_time: 0.0149 memory: 17087 grad_norm: 4.8836 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6652 loss: 1.6652 2022/08/03 19:22:25 - mmengine - INFO - Epoch(train) [45][1620/1879] lr: 1.0000e-02 eta: 1 day, 23:12:12 time: 0.4413 data_time: 0.0152 memory: 17087 grad_norm: 4.9376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7336 loss: 1.7336 2022/08/03 19:22:34 - mmengine - INFO - Epoch(train) [45][1640/1879] lr: 1.0000e-02 eta: 1 day, 23:12:03 time: 0.4290 data_time: 0.0206 memory: 17087 grad_norm: 4.9936 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7156 loss: 1.7156 2022/08/03 19:22:43 - mmengine - INFO - Epoch(train) [45][1660/1879] lr: 1.0000e-02 eta: 1 day, 23:11:57 time: 0.4597 data_time: 0.0162 memory: 17087 grad_norm: 4.9306 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4116 loss: 1.4116 2022/08/03 19:22:52 - mmengine - INFO - Epoch(train) [45][1680/1879] lr: 1.0000e-02 eta: 1 day, 23:11:49 time: 0.4251 data_time: 0.0147 memory: 17087 grad_norm: 4.9476 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6231 loss: 1.6231 2022/08/03 19:23:00 - mmengine - INFO - Epoch(train) [45][1700/1879] lr: 1.0000e-02 eta: 1 day, 23:11:40 time: 0.4307 data_time: 0.0215 memory: 17087 grad_norm: 4.8884 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7695 loss: 1.7695 2022/08/03 19:23:09 - mmengine - INFO - Epoch(train) [45][1720/1879] lr: 1.0000e-02 eta: 1 day, 23:11:32 time: 0.4324 data_time: 0.0171 memory: 17087 grad_norm: 4.9839 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5435 loss: 1.5435 2022/08/03 19:23:18 - mmengine - INFO - Epoch(train) [45][1740/1879] lr: 1.0000e-02 eta: 1 day, 23:11:25 time: 0.4398 data_time: 0.0161 memory: 17087 grad_norm: 4.9027 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6848 loss: 1.6848 2022/08/03 19:23:26 - mmengine - INFO - Epoch(train) [45][1760/1879] lr: 1.0000e-02 eta: 1 day, 23:11:17 time: 0.4345 data_time: 0.0246 memory: 17087 grad_norm: 4.9045 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7267 loss: 1.7267 2022/08/03 19:23:35 - mmengine - INFO - Epoch(train) [45][1780/1879] lr: 1.0000e-02 eta: 1 day, 23:11:08 time: 0.4309 data_time: 0.0159 memory: 17087 grad_norm: 4.9174 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7633 loss: 1.7633 2022/08/03 19:23:44 - mmengine - INFO - Epoch(train) [45][1800/1879] lr: 1.0000e-02 eta: 1 day, 23:11:00 time: 0.4277 data_time: 0.0153 memory: 17087 grad_norm: 4.9384 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5926 loss: 1.5926 2022/08/03 19:23:52 - mmengine - INFO - Epoch(train) [45][1820/1879] lr: 1.0000e-02 eta: 1 day, 23:10:51 time: 0.4275 data_time: 0.0152 memory: 17087 grad_norm: 4.9303 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7072 loss: 1.7072 2022/08/03 19:24:01 - mmengine - INFO - Epoch(train) [45][1840/1879] lr: 1.0000e-02 eta: 1 day, 23:10:43 time: 0.4377 data_time: 0.0164 memory: 17087 grad_norm: 4.9330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5516 loss: 1.5516 2022/08/03 19:24:10 - mmengine - INFO - Epoch(train) [45][1860/1879] lr: 1.0000e-02 eta: 1 day, 23:10:35 time: 0.4318 data_time: 0.0157 memory: 17087 grad_norm: 5.1079 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5276 loss: 1.5276 2022/08/03 19:24:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:24:17 - mmengine - INFO - Epoch(train) [45][1879/1879] lr: 1.0000e-02 eta: 1 day, 23:10:35 time: 0.4127 data_time: 0.0147 memory: 17087 grad_norm: 5.0010 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.7735 loss: 1.7735 2022/08/03 19:24:25 - mmengine - INFO - Epoch(val) [45][20/155] eta: 0:00:48 time: 0.3628 data_time: 0.1872 memory: 2821 2022/08/03 19:24:31 - mmengine - INFO - Epoch(val) [45][40/155] eta: 0:00:34 time: 0.3016 data_time: 0.1350 memory: 2821 2022/08/03 19:24:36 - mmengine - INFO - Epoch(val) [45][60/155] eta: 0:00:25 time: 0.2633 data_time: 0.0949 memory: 2821 2022/08/03 19:24:42 - mmengine - INFO - Epoch(val) [45][80/155] eta: 0:00:21 time: 0.2876 data_time: 0.1234 memory: 2821 2022/08/03 19:24:48 - mmengine - INFO - Epoch(val) [45][100/155] eta: 0:00:15 time: 0.2902 data_time: 0.1231 memory: 2821 2022/08/03 19:24:54 - mmengine - INFO - Epoch(val) [45][120/155] eta: 0:00:10 time: 0.3057 data_time: 0.1371 memory: 2821 2022/08/03 19:24:59 - mmengine - INFO - Epoch(val) [45][140/155] eta: 0:00:03 time: 0.2595 data_time: 0.0917 memory: 2821 2022/08/03 19:25:05 - mmengine - INFO - Epoch(val) [45][155/155] acc/top1: 0.6504 acc/top5: 0.8596 acc/mean1: 0.6503 2022/08/03 19:25:05 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_36.pth is removed 2022/08/03 19:25:07 - mmengine - INFO - The best checkpoint with 0.6504 acc/top1 at 46 epoch is saved to best_acc/top1_epoch_46.pth. 2022/08/03 19:25:18 - mmengine - INFO - Epoch(train) [46][20/1879] lr: 1.0000e-02 eta: 1 day, 23:09:48 time: 0.5113 data_time: 0.0986 memory: 17087 grad_norm: 4.8948 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7773 loss: 1.7773 2022/08/03 19:25:27 - mmengine - INFO - Epoch(train) [46][40/1879] lr: 1.0000e-02 eta: 1 day, 23:09:41 time: 0.4478 data_time: 0.0186 memory: 17087 grad_norm: 4.8071 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5209 loss: 1.5209 2022/08/03 19:25:35 - mmengine - INFO - Epoch(train) [46][60/1879] lr: 1.0000e-02 eta: 1 day, 23:09:33 time: 0.4281 data_time: 0.0201 memory: 17087 grad_norm: 4.8964 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6157 loss: 1.6157 2022/08/03 19:25:44 - mmengine - INFO - Epoch(train) [46][80/1879] lr: 1.0000e-02 eta: 1 day, 23:09:26 time: 0.4462 data_time: 0.0163 memory: 17087 grad_norm: 4.9770 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5579 loss: 1.5579 2022/08/03 19:25:53 - mmengine - INFO - Epoch(train) [46][100/1879] lr: 1.0000e-02 eta: 1 day, 23:09:17 time: 0.4247 data_time: 0.0140 memory: 17087 grad_norm: 4.8936 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6820 loss: 1.6820 2022/08/03 19:26:01 - mmengine - INFO - Epoch(train) [46][120/1879] lr: 1.0000e-02 eta: 1 day, 23:09:08 time: 0.4256 data_time: 0.0159 memory: 17087 grad_norm: 5.0325 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6839 loss: 1.6839 2022/08/03 19:26:10 - mmengine - INFO - Epoch(train) [46][140/1879] lr: 1.0000e-02 eta: 1 day, 23:09:02 time: 0.4558 data_time: 0.0190 memory: 17087 grad_norm: 4.7633 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5198 loss: 1.5198 2022/08/03 19:26:19 - mmengine - INFO - Epoch(train) [46][160/1879] lr: 1.0000e-02 eta: 1 day, 23:08:54 time: 0.4339 data_time: 0.0202 memory: 17087 grad_norm: 4.7633 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5147 loss: 1.5147 2022/08/03 19:26:28 - mmengine - INFO - Epoch(train) [46][180/1879] lr: 1.0000e-02 eta: 1 day, 23:08:47 time: 0.4416 data_time: 0.0150 memory: 17087 grad_norm: 4.8087 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6995 loss: 1.6995 2022/08/03 19:26:37 - mmengine - INFO - Epoch(train) [46][200/1879] lr: 1.0000e-02 eta: 1 day, 23:08:39 time: 0.4402 data_time: 0.0185 memory: 17087 grad_norm: 4.8482 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8608 loss: 1.8608 2022/08/03 19:26:45 - mmengine - INFO - Epoch(train) [46][220/1879] lr: 1.0000e-02 eta: 1 day, 23:08:30 time: 0.4238 data_time: 0.0150 memory: 17087 grad_norm: 4.9044 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5403 loss: 1.5403 2022/08/03 19:26:54 - mmengine - INFO - Epoch(train) [46][240/1879] lr: 1.0000e-02 eta: 1 day, 23:08:24 time: 0.4574 data_time: 0.0168 memory: 17087 grad_norm: 5.0996 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4882 loss: 1.4882 2022/08/03 19:27:03 - mmengine - INFO - Epoch(train) [46][260/1879] lr: 1.0000e-02 eta: 1 day, 23:08:15 time: 0.4247 data_time: 0.0144 memory: 17087 grad_norm: 5.0188 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6167 loss: 1.6167 2022/08/03 19:27:11 - mmengine - INFO - Epoch(train) [46][280/1879] lr: 1.0000e-02 eta: 1 day, 23:08:07 time: 0.4285 data_time: 0.0198 memory: 17087 grad_norm: 4.8671 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.5446 loss: 1.5446 2022/08/03 19:27:20 - mmengine - INFO - Epoch(train) [46][300/1879] lr: 1.0000e-02 eta: 1 day, 23:08:00 time: 0.4460 data_time: 0.0136 memory: 17087 grad_norm: 4.7520 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4651 loss: 1.4651 2022/08/03 19:27:31 - mmengine - INFO - Epoch(train) [46][320/1879] lr: 1.0000e-02 eta: 1 day, 23:08:02 time: 0.5407 data_time: 0.0148 memory: 17087 grad_norm: 4.9459 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6450 loss: 1.6450 2022/08/03 19:27:40 - mmengine - INFO - Epoch(train) [46][340/1879] lr: 1.0000e-02 eta: 1 day, 23:07:53 time: 0.4268 data_time: 0.0165 memory: 17087 grad_norm: 4.8555 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6081 loss: 1.6081 2022/08/03 19:27:48 - mmengine - INFO - Epoch(train) [46][360/1879] lr: 1.0000e-02 eta: 1 day, 23:07:45 time: 0.4328 data_time: 0.0156 memory: 17087 grad_norm: 4.9345 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4146 loss: 1.4146 2022/08/03 19:27:57 - mmengine - INFO - Epoch(train) [46][380/1879] lr: 1.0000e-02 eta: 1 day, 23:07:37 time: 0.4292 data_time: 0.0164 memory: 17087 grad_norm: 4.8734 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5804 loss: 1.5804 2022/08/03 19:28:05 - mmengine - INFO - Epoch(train) [46][400/1879] lr: 1.0000e-02 eta: 1 day, 23:07:28 time: 0.4295 data_time: 0.0152 memory: 17087 grad_norm: 5.0149 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4797 loss: 1.4797 2022/08/03 19:28:14 - mmengine - INFO - Epoch(train) [46][420/1879] lr: 1.0000e-02 eta: 1 day, 23:07:21 time: 0.4398 data_time: 0.0164 memory: 17087 grad_norm: 4.9031 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6107 loss: 1.6107 2022/08/03 19:28:23 - mmengine - INFO - Epoch(train) [46][440/1879] lr: 1.0000e-02 eta: 1 day, 23:07:12 time: 0.4305 data_time: 0.0144 memory: 17087 grad_norm: 4.9627 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6266 loss: 1.6266 2022/08/03 19:28:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:28:31 - mmengine - INFO - Epoch(train) [46][460/1879] lr: 1.0000e-02 eta: 1 day, 23:07:04 time: 0.4280 data_time: 0.0155 memory: 17087 grad_norm: 5.0531 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.8477 loss: 1.8477 2022/08/03 19:28:40 - mmengine - INFO - Epoch(train) [46][480/1879] lr: 1.0000e-02 eta: 1 day, 23:06:55 time: 0.4255 data_time: 0.0149 memory: 17087 grad_norm: 4.8221 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4841 loss: 1.4841 2022/08/03 19:28:49 - mmengine - INFO - Epoch(train) [46][500/1879] lr: 1.0000e-02 eta: 1 day, 23:06:47 time: 0.4410 data_time: 0.0164 memory: 17087 grad_norm: 5.0408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6376 loss: 1.6376 2022/08/03 19:28:57 - mmengine - INFO - Epoch(train) [46][520/1879] lr: 1.0000e-02 eta: 1 day, 23:06:39 time: 0.4313 data_time: 0.0159 memory: 17087 grad_norm: 4.8384 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5339 loss: 1.5339 2022/08/03 19:29:06 - mmengine - INFO - Epoch(train) [46][540/1879] lr: 1.0000e-02 eta: 1 day, 23:06:31 time: 0.4354 data_time: 0.0211 memory: 17087 grad_norm: 5.1229 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6975 loss: 1.6975 2022/08/03 19:29:15 - mmengine - INFO - Epoch(train) [46][560/1879] lr: 1.0000e-02 eta: 1 day, 23:06:22 time: 0.4238 data_time: 0.0149 memory: 17087 grad_norm: 5.1330 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6297 loss: 1.6297 2022/08/03 19:29:23 - mmengine - INFO - Epoch(train) [46][580/1879] lr: 1.0000e-02 eta: 1 day, 23:06:14 time: 0.4321 data_time: 0.0168 memory: 17087 grad_norm: 5.0514 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6566 loss: 1.6566 2022/08/03 19:29:32 - mmengine - INFO - Epoch(train) [46][600/1879] lr: 1.0000e-02 eta: 1 day, 23:06:05 time: 0.4232 data_time: 0.0142 memory: 17087 grad_norm: 5.0556 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6035 loss: 1.6035 2022/08/03 19:29:40 - mmengine - INFO - Epoch(train) [46][620/1879] lr: 1.0000e-02 eta: 1 day, 23:05:56 time: 0.4267 data_time: 0.0167 memory: 17087 grad_norm: 4.9217 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5963 loss: 1.5963 2022/08/03 19:29:49 - mmengine - INFO - Epoch(train) [46][640/1879] lr: 1.0000e-02 eta: 1 day, 23:05:49 time: 0.4441 data_time: 0.0145 memory: 17087 grad_norm: 5.0839 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7780 loss: 1.7780 2022/08/03 19:29:58 - mmengine - INFO - Epoch(train) [46][660/1879] lr: 1.0000e-02 eta: 1 day, 23:05:42 time: 0.4432 data_time: 0.0208 memory: 17087 grad_norm: 4.8870 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5914 loss: 1.5914 2022/08/03 19:30:06 - mmengine - INFO - Epoch(train) [46][680/1879] lr: 1.0000e-02 eta: 1 day, 23:05:33 time: 0.4255 data_time: 0.0167 memory: 17087 grad_norm: 4.9662 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6545 loss: 1.6545 2022/08/03 19:30:15 - mmengine - INFO - Epoch(train) [46][700/1879] lr: 1.0000e-02 eta: 1 day, 23:05:25 time: 0.4368 data_time: 0.0177 memory: 17087 grad_norm: 4.9445 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6721 loss: 1.6721 2022/08/03 19:30:24 - mmengine - INFO - Epoch(train) [46][720/1879] lr: 1.0000e-02 eta: 1 day, 23:05:17 time: 0.4284 data_time: 0.0147 memory: 17087 grad_norm: 4.7571 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4586 loss: 1.4586 2022/08/03 19:30:32 - mmengine - INFO - Epoch(train) [46][740/1879] lr: 1.0000e-02 eta: 1 day, 23:05:08 time: 0.4255 data_time: 0.0158 memory: 17087 grad_norm: 4.8540 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6404 loss: 1.6404 2022/08/03 19:30:41 - mmengine - INFO - Epoch(train) [46][760/1879] lr: 1.0000e-02 eta: 1 day, 23:05:00 time: 0.4335 data_time: 0.0137 memory: 17087 grad_norm: 4.9819 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4465 loss: 1.4465 2022/08/03 19:30:49 - mmengine - INFO - Epoch(train) [46][780/1879] lr: 1.0000e-02 eta: 1 day, 23:04:51 time: 0.4256 data_time: 0.0161 memory: 17087 grad_norm: 4.8896 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7987 loss: 1.7987 2022/08/03 19:30:59 - mmengine - INFO - Epoch(train) [46][800/1879] lr: 1.0000e-02 eta: 1 day, 23:04:45 time: 0.4522 data_time: 0.0156 memory: 17087 grad_norm: 4.8748 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5417 loss: 1.5417 2022/08/03 19:31:07 - mmengine - INFO - Epoch(train) [46][820/1879] lr: 1.0000e-02 eta: 1 day, 23:04:36 time: 0.4256 data_time: 0.0154 memory: 17087 grad_norm: 4.8813 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5658 loss: 1.5658 2022/08/03 19:31:16 - mmengine - INFO - Epoch(train) [46][840/1879] lr: 1.0000e-02 eta: 1 day, 23:04:28 time: 0.4309 data_time: 0.0166 memory: 17087 grad_norm: 4.9504 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.8055 loss: 1.8055 2022/08/03 19:31:24 - mmengine - INFO - Epoch(train) [46][860/1879] lr: 1.0000e-02 eta: 1 day, 23:04:19 time: 0.4255 data_time: 0.0155 memory: 17087 grad_norm: 4.9936 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4282 loss: 1.4282 2022/08/03 19:31:33 - mmengine - INFO - Epoch(train) [46][880/1879] lr: 1.0000e-02 eta: 1 day, 23:04:10 time: 0.4248 data_time: 0.0150 memory: 17087 grad_norm: 5.0405 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5483 loss: 1.5483 2022/08/03 19:31:41 - mmengine - INFO - Epoch(train) [46][900/1879] lr: 1.0000e-02 eta: 1 day, 23:04:02 time: 0.4399 data_time: 0.0142 memory: 17087 grad_norm: 5.0650 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6489 loss: 1.6489 2022/08/03 19:31:50 - mmengine - INFO - Epoch(train) [46][920/1879] lr: 1.0000e-02 eta: 1 day, 23:03:54 time: 0.4277 data_time: 0.0173 memory: 17087 grad_norm: 4.9042 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5665 loss: 1.5665 2022/08/03 19:31:59 - mmengine - INFO - Epoch(train) [46][940/1879] lr: 1.0000e-02 eta: 1 day, 23:03:45 time: 0.4291 data_time: 0.0156 memory: 17087 grad_norm: 4.9495 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5999 loss: 1.5999 2022/08/03 19:32:07 - mmengine - INFO - Epoch(train) [46][960/1879] lr: 1.0000e-02 eta: 1 day, 23:03:36 time: 0.4257 data_time: 0.0139 memory: 17087 grad_norm: 4.9978 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7255 loss: 1.7255 2022/08/03 19:32:16 - mmengine - INFO - Epoch(train) [46][980/1879] lr: 1.0000e-02 eta: 1 day, 23:03:28 time: 0.4265 data_time: 0.0167 memory: 17087 grad_norm: 4.9326 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8652 loss: 1.8652 2022/08/03 19:32:24 - mmengine - INFO - Epoch(train) [46][1000/1879] lr: 1.0000e-02 eta: 1 day, 23:03:19 time: 0.4240 data_time: 0.0136 memory: 17087 grad_norm: 4.9197 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7348 loss: 1.7348 2022/08/03 19:32:33 - mmengine - INFO - Epoch(train) [46][1020/1879] lr: 1.0000e-02 eta: 1 day, 23:03:10 time: 0.4264 data_time: 0.0155 memory: 17087 grad_norm: 4.9425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6376 loss: 1.6376 2022/08/03 19:32:41 - mmengine - INFO - Epoch(train) [46][1040/1879] lr: 1.0000e-02 eta: 1 day, 23:03:01 time: 0.4270 data_time: 0.0156 memory: 17087 grad_norm: 4.7556 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6155 loss: 1.6155 2022/08/03 19:32:50 - mmengine - INFO - Epoch(train) [46][1060/1879] lr: 1.0000e-02 eta: 1 day, 23:02:53 time: 0.4270 data_time: 0.0164 memory: 17087 grad_norm: 4.8354 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6313 loss: 1.6313 2022/08/03 19:32:58 - mmengine - INFO - Epoch(train) [46][1080/1879] lr: 1.0000e-02 eta: 1 day, 23:02:44 time: 0.4286 data_time: 0.0156 memory: 17087 grad_norm: 4.8768 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5794 loss: 1.5794 2022/08/03 19:33:07 - mmengine - INFO - Epoch(train) [46][1100/1879] lr: 1.0000e-02 eta: 1 day, 23:02:36 time: 0.4302 data_time: 0.0165 memory: 17087 grad_norm: 4.9233 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5443 loss: 1.5443 2022/08/03 19:33:16 - mmengine - INFO - Epoch(train) [46][1120/1879] lr: 1.0000e-02 eta: 1 day, 23:02:27 time: 0.4290 data_time: 0.0139 memory: 17087 grad_norm: 4.9884 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6982 loss: 1.6982 2022/08/03 19:33:24 - mmengine - INFO - Epoch(train) [46][1140/1879] lr: 1.0000e-02 eta: 1 day, 23:02:18 time: 0.4251 data_time: 0.0159 memory: 17087 grad_norm: 4.8764 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6393 loss: 1.6393 2022/08/03 19:33:33 - mmengine - INFO - Epoch(train) [46][1160/1879] lr: 1.0000e-02 eta: 1 day, 23:02:09 time: 0.4252 data_time: 0.0139 memory: 17087 grad_norm: 5.0217 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6051 loss: 1.6051 2022/08/03 19:33:41 - mmengine - INFO - Epoch(train) [46][1180/1879] lr: 1.0000e-02 eta: 1 day, 23:02:01 time: 0.4307 data_time: 0.0159 memory: 17087 grad_norm: 4.9247 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8822 loss: 1.8822 2022/08/03 19:33:50 - mmengine - INFO - Epoch(train) [46][1200/1879] lr: 1.0000e-02 eta: 1 day, 23:01:52 time: 0.4251 data_time: 0.0145 memory: 17087 grad_norm: 4.8693 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8929 loss: 1.8929 2022/08/03 19:33:59 - mmengine - INFO - Epoch(train) [46][1220/1879] lr: 1.0000e-02 eta: 1 day, 23:01:45 time: 0.4477 data_time: 0.0165 memory: 17087 grad_norm: 4.9137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5932 loss: 1.5932 2022/08/03 19:34:07 - mmengine - INFO - Epoch(train) [46][1240/1879] lr: 1.0000e-02 eta: 1 day, 23:01:37 time: 0.4277 data_time: 0.0189 memory: 17087 grad_norm: 4.9905 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.5138 loss: 1.5138 2022/08/03 19:34:16 - mmengine - INFO - Epoch(train) [46][1260/1879] lr: 1.0000e-02 eta: 1 day, 23:01:28 time: 0.4273 data_time: 0.0168 memory: 17087 grad_norm: 4.9430 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6503 loss: 1.6503 2022/08/03 19:34:26 - mmengine - INFO - Epoch(train) [46][1280/1879] lr: 1.0000e-02 eta: 1 day, 23:01:28 time: 0.5228 data_time: 0.0145 memory: 17087 grad_norm: 4.9782 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5920 loss: 1.5920 2022/08/03 19:34:35 - mmengine - INFO - Epoch(train) [46][1300/1879] lr: 1.0000e-02 eta: 1 day, 23:01:21 time: 0.4399 data_time: 0.0164 memory: 17087 grad_norm: 4.8157 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7919 loss: 1.7919 2022/08/03 19:34:44 - mmengine - INFO - Epoch(train) [46][1320/1879] lr: 1.0000e-02 eta: 1 day, 23:01:12 time: 0.4250 data_time: 0.0137 memory: 17087 grad_norm: 5.0286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8208 loss: 1.8208 2022/08/03 19:34:52 - mmengine - INFO - Epoch(train) [46][1340/1879] lr: 1.0000e-02 eta: 1 day, 23:01:03 time: 0.4271 data_time: 0.0187 memory: 17087 grad_norm: 4.9263 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4567 loss: 1.4567 2022/08/03 19:35:01 - mmengine - INFO - Epoch(train) [46][1360/1879] lr: 1.0000e-02 eta: 1 day, 23:00:55 time: 0.4314 data_time: 0.0146 memory: 17087 grad_norm: 5.0482 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8863 loss: 1.8863 2022/08/03 19:35:09 - mmengine - INFO - Epoch(train) [46][1380/1879] lr: 1.0000e-02 eta: 1 day, 23:00:46 time: 0.4290 data_time: 0.0187 memory: 17087 grad_norm: 4.8763 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6459 loss: 1.6459 2022/08/03 19:35:18 - mmengine - INFO - Epoch(train) [46][1400/1879] lr: 1.0000e-02 eta: 1 day, 23:00:37 time: 0.4249 data_time: 0.0150 memory: 17087 grad_norm: 4.9961 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7823 loss: 1.7823 2022/08/03 19:35:26 - mmengine - INFO - Epoch(train) [46][1420/1879] lr: 1.0000e-02 eta: 1 day, 23:00:29 time: 0.4269 data_time: 0.0163 memory: 17087 grad_norm: 4.9552 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7152 loss: 1.7152 2022/08/03 19:35:35 - mmengine - INFO - Epoch(train) [46][1440/1879] lr: 1.0000e-02 eta: 1 day, 23:00:20 time: 0.4280 data_time: 0.0153 memory: 17087 grad_norm: 4.9698 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6612 loss: 1.6612 2022/08/03 19:35:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:35:43 - mmengine - INFO - Epoch(train) [46][1460/1879] lr: 1.0000e-02 eta: 1 day, 23:00:11 time: 0.4240 data_time: 0.0144 memory: 17087 grad_norm: 4.9435 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5168 loss: 1.5168 2022/08/03 19:35:52 - mmengine - INFO - Epoch(train) [46][1480/1879] lr: 1.0000e-02 eta: 1 day, 23:00:02 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 4.8380 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7474 loss: 1.7474 2022/08/03 19:36:01 - mmengine - INFO - Epoch(train) [46][1500/1879] lr: 1.0000e-02 eta: 1 day, 22:59:54 time: 0.4330 data_time: 0.0174 memory: 17087 grad_norm: 4.9614 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7342 loss: 1.7342 2022/08/03 19:36:09 - mmengine - INFO - Epoch(train) [46][1520/1879] lr: 1.0000e-02 eta: 1 day, 22:59:46 time: 0.4271 data_time: 0.0146 memory: 17087 grad_norm: 4.8863 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5909 loss: 1.5909 2022/08/03 19:36:18 - mmengine - INFO - Epoch(train) [46][1540/1879] lr: 1.0000e-02 eta: 1 day, 22:59:38 time: 0.4432 data_time: 0.0157 memory: 17087 grad_norm: 4.8563 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5071 loss: 1.5071 2022/08/03 19:36:27 - mmengine - INFO - Epoch(train) [46][1560/1879] lr: 1.0000e-02 eta: 1 day, 22:59:30 time: 0.4279 data_time: 0.0188 memory: 17087 grad_norm: 5.0680 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6599 loss: 1.6599 2022/08/03 19:36:36 - mmengine - INFO - Epoch(train) [46][1580/1879] lr: 1.0000e-02 eta: 1 day, 22:59:23 time: 0.4464 data_time: 0.0160 memory: 17087 grad_norm: 4.9315 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.6627 loss: 1.6627 2022/08/03 19:36:44 - mmengine - INFO - Epoch(train) [46][1600/1879] lr: 1.0000e-02 eta: 1 day, 22:59:14 time: 0.4282 data_time: 0.0181 memory: 17087 grad_norm: 4.8029 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5255 loss: 1.5255 2022/08/03 19:36:53 - mmengine - INFO - Epoch(train) [46][1620/1879] lr: 1.0000e-02 eta: 1 day, 22:59:05 time: 0.4251 data_time: 0.0150 memory: 17087 grad_norm: 4.9305 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6079 loss: 1.6079 2022/08/03 19:37:02 - mmengine - INFO - Epoch(train) [46][1640/1879] lr: 1.0000e-02 eta: 1 day, 22:58:59 time: 0.4488 data_time: 0.0122 memory: 17087 grad_norm: 4.9730 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5727 loss: 1.5727 2022/08/03 19:37:10 - mmengine - INFO - Epoch(train) [46][1660/1879] lr: 1.0000e-02 eta: 1 day, 22:58:51 time: 0.4337 data_time: 0.0250 memory: 17087 grad_norm: 5.0355 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7233 loss: 1.7233 2022/08/03 19:37:19 - mmengine - INFO - Epoch(train) [46][1680/1879] lr: 1.0000e-02 eta: 1 day, 22:58:43 time: 0.4437 data_time: 0.0147 memory: 17087 grad_norm: 4.8453 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.8020 loss: 1.8020 2022/08/03 19:37:28 - mmengine - INFO - Epoch(train) [46][1700/1879] lr: 1.0000e-02 eta: 1 day, 22:58:35 time: 0.4262 data_time: 0.0156 memory: 17087 grad_norm: 5.1436 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7156 loss: 1.7156 2022/08/03 19:37:36 - mmengine - INFO - Epoch(train) [46][1720/1879] lr: 1.0000e-02 eta: 1 day, 22:58:26 time: 0.4276 data_time: 0.0157 memory: 17087 grad_norm: 4.9450 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5566 loss: 1.5566 2022/08/03 19:37:45 - mmengine - INFO - Epoch(train) [46][1740/1879] lr: 1.0000e-02 eta: 1 day, 22:58:17 time: 0.4267 data_time: 0.0162 memory: 17087 grad_norm: 5.0506 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6898 loss: 1.6898 2022/08/03 19:37:53 - mmengine - INFO - Epoch(train) [46][1760/1879] lr: 1.0000e-02 eta: 1 day, 22:58:08 time: 0.4224 data_time: 0.0131 memory: 17087 grad_norm: 4.9412 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.9325 loss: 1.9325 2022/08/03 19:38:02 - mmengine - INFO - Epoch(train) [46][1780/1879] lr: 1.0000e-02 eta: 1 day, 22:58:00 time: 0.4292 data_time: 0.0172 memory: 17087 grad_norm: 4.9439 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5956 loss: 1.5956 2022/08/03 19:38:10 - mmengine - INFO - Epoch(train) [46][1800/1879] lr: 1.0000e-02 eta: 1 day, 22:57:51 time: 0.4252 data_time: 0.0128 memory: 17087 grad_norm: 5.0260 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5715 loss: 1.5715 2022/08/03 19:38:19 - mmengine - INFO - Epoch(train) [46][1820/1879] lr: 1.0000e-02 eta: 1 day, 22:57:43 time: 0.4357 data_time: 0.0170 memory: 17087 grad_norm: 4.8164 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6457 loss: 1.6457 2022/08/03 19:38:28 - mmengine - INFO - Epoch(train) [46][1840/1879] lr: 1.0000e-02 eta: 1 day, 22:57:34 time: 0.4261 data_time: 0.0150 memory: 17087 grad_norm: 4.9281 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8575 loss: 1.8575 2022/08/03 19:38:36 - mmengine - INFO - Epoch(train) [46][1860/1879] lr: 1.0000e-02 eta: 1 day, 22:57:27 time: 0.4397 data_time: 0.0172 memory: 17087 grad_norm: 4.8875 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5934 loss: 1.5934 2022/08/03 19:38:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:38:44 - mmengine - INFO - Epoch(train) [46][1879/1879] lr: 1.0000e-02 eta: 1 day, 22:57:27 time: 0.4115 data_time: 0.0150 memory: 17087 grad_norm: 5.0746 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.4576 loss: 1.4576 2022/08/03 19:38:56 - mmengine - INFO - Epoch(train) [47][20/1879] lr: 1.0000e-02 eta: 1 day, 22:56:46 time: 0.5709 data_time: 0.1224 memory: 17087 grad_norm: 4.8885 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6026 loss: 1.6026 2022/08/03 19:39:04 - mmengine - INFO - Epoch(train) [47][40/1879] lr: 1.0000e-02 eta: 1 day, 22:56:38 time: 0.4332 data_time: 0.0219 memory: 17087 grad_norm: 4.8920 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4680 loss: 1.4680 2022/08/03 19:39:13 - mmengine - INFO - Epoch(train) [47][60/1879] lr: 1.0000e-02 eta: 1 day, 22:56:29 time: 0.4261 data_time: 0.0146 memory: 17087 grad_norm: 4.8018 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4128 loss: 1.4128 2022/08/03 19:39:21 - mmengine - INFO - Epoch(train) [47][80/1879] lr: 1.0000e-02 eta: 1 day, 22:56:20 time: 0.4264 data_time: 0.0154 memory: 17087 grad_norm: 4.9257 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6878 loss: 1.6878 2022/08/03 19:39:30 - mmengine - INFO - Epoch(train) [47][100/1879] lr: 1.0000e-02 eta: 1 day, 22:56:13 time: 0.4484 data_time: 0.0145 memory: 17087 grad_norm: 4.8427 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5972 loss: 1.5972 2022/08/03 19:39:39 - mmengine - INFO - Epoch(train) [47][120/1879] lr: 1.0000e-02 eta: 1 day, 22:56:05 time: 0.4280 data_time: 0.0152 memory: 17087 grad_norm: 4.9457 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5170 loss: 1.5170 2022/08/03 19:39:48 - mmengine - INFO - Epoch(train) [47][140/1879] lr: 1.0000e-02 eta: 1 day, 22:55:57 time: 0.4339 data_time: 0.0237 memory: 17087 grad_norm: 4.8977 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6574 loss: 1.6574 2022/08/03 19:39:57 - mmengine - INFO - Epoch(train) [47][160/1879] lr: 1.0000e-02 eta: 1 day, 22:55:50 time: 0.4450 data_time: 0.0339 memory: 17087 grad_norm: 5.0857 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5223 loss: 1.5223 2022/08/03 19:40:05 - mmengine - INFO - Epoch(train) [47][180/1879] lr: 1.0000e-02 eta: 1 day, 22:55:41 time: 0.4256 data_time: 0.0137 memory: 17087 grad_norm: 4.9739 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7179 loss: 1.7179 2022/08/03 19:40:14 - mmengine - INFO - Epoch(train) [47][200/1879] lr: 1.0000e-02 eta: 1 day, 22:55:33 time: 0.4330 data_time: 0.0202 memory: 17087 grad_norm: 4.8847 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6186 loss: 1.6186 2022/08/03 19:40:22 - mmengine - INFO - Epoch(train) [47][220/1879] lr: 1.0000e-02 eta: 1 day, 22:55:25 time: 0.4333 data_time: 0.0132 memory: 17087 grad_norm: 4.8787 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5724 loss: 1.5724 2022/08/03 19:40:31 - mmengine - INFO - Epoch(train) [47][240/1879] lr: 1.0000e-02 eta: 1 day, 22:55:16 time: 0.4326 data_time: 0.0155 memory: 17087 grad_norm: 4.9551 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6205 loss: 1.6205 2022/08/03 19:40:40 - mmengine - INFO - Epoch(train) [47][260/1879] lr: 1.0000e-02 eta: 1 day, 22:55:08 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 4.9676 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7390 loss: 1.7390 2022/08/03 19:40:48 - mmengine - INFO - Epoch(train) [47][280/1879] lr: 1.0000e-02 eta: 1 day, 22:55:00 time: 0.4302 data_time: 0.0215 memory: 17087 grad_norm: 4.9463 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6423 loss: 1.6423 2022/08/03 19:40:57 - mmengine - INFO - Epoch(train) [47][300/1879] lr: 1.0000e-02 eta: 1 day, 22:54:53 time: 0.4498 data_time: 0.0149 memory: 17087 grad_norm: 4.8478 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6048 loss: 1.6048 2022/08/03 19:41:06 - mmengine - INFO - Epoch(train) [47][320/1879] lr: 1.0000e-02 eta: 1 day, 22:54:44 time: 0.4272 data_time: 0.0166 memory: 17087 grad_norm: 4.8217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5121 loss: 1.5121 2022/08/03 19:41:15 - mmengine - INFO - Epoch(train) [47][340/1879] lr: 1.0000e-02 eta: 1 day, 22:54:36 time: 0.4357 data_time: 0.0155 memory: 17087 grad_norm: 4.8155 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6670 loss: 1.6670 2022/08/03 19:41:23 - mmengine - INFO - Epoch(train) [47][360/1879] lr: 1.0000e-02 eta: 1 day, 22:54:28 time: 0.4255 data_time: 0.0166 memory: 17087 grad_norm: 5.0967 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.7033 loss: 1.7033 2022/08/03 19:41:32 - mmengine - INFO - Epoch(train) [47][380/1879] lr: 1.0000e-02 eta: 1 day, 22:54:19 time: 0.4271 data_time: 0.0149 memory: 17087 grad_norm: 4.9819 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6717 loss: 1.6717 2022/08/03 19:41:40 - mmengine - INFO - Epoch(train) [47][400/1879] lr: 1.0000e-02 eta: 1 day, 22:54:11 time: 0.4311 data_time: 0.0153 memory: 17087 grad_norm: 5.0901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7400 loss: 1.7400 2022/08/03 19:41:49 - mmengine - INFO - Epoch(train) [47][420/1879] lr: 1.0000e-02 eta: 1 day, 22:54:02 time: 0.4257 data_time: 0.0144 memory: 17087 grad_norm: 4.8652 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5444 loss: 1.5444 2022/08/03 19:41:58 - mmengine - INFO - Epoch(train) [47][440/1879] lr: 1.0000e-02 eta: 1 day, 22:53:55 time: 0.4455 data_time: 0.0156 memory: 17087 grad_norm: 4.8547 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5543 loss: 1.5543 2022/08/03 19:42:06 - mmengine - INFO - Epoch(train) [47][460/1879] lr: 1.0000e-02 eta: 1 day, 22:53:46 time: 0.4281 data_time: 0.0198 memory: 17087 grad_norm: 4.8520 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6162 loss: 1.6162 2022/08/03 19:42:15 - mmengine - INFO - Epoch(train) [47][480/1879] lr: 1.0000e-02 eta: 1 day, 22:53:39 time: 0.4466 data_time: 0.0156 memory: 17087 grad_norm: 5.0356 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5759 loss: 1.5759 2022/08/03 19:42:24 - mmengine - INFO - Epoch(train) [47][500/1879] lr: 1.0000e-02 eta: 1 day, 22:53:30 time: 0.4256 data_time: 0.0153 memory: 17087 grad_norm: 4.9675 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7082 loss: 1.7082 2022/08/03 19:42:32 - mmengine - INFO - Epoch(train) [47][520/1879] lr: 1.0000e-02 eta: 1 day, 22:53:22 time: 0.4305 data_time: 0.0202 memory: 17087 grad_norm: 5.0222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6612 loss: 1.6612 2022/08/03 19:42:41 - mmengine - INFO - Epoch(train) [47][540/1879] lr: 1.0000e-02 eta: 1 day, 22:53:14 time: 0.4318 data_time: 0.0167 memory: 17087 grad_norm: 5.0819 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5514 loss: 1.5514 2022/08/03 19:42:50 - mmengine - INFO - Epoch(train) [47][560/1879] lr: 1.0000e-02 eta: 1 day, 22:53:05 time: 0.4266 data_time: 0.0158 memory: 17087 grad_norm: 4.8896 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6796 loss: 1.6796 2022/08/03 19:42:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:42:58 - mmengine - INFO - Epoch(train) [47][580/1879] lr: 1.0000e-02 eta: 1 day, 22:52:57 time: 0.4313 data_time: 0.0148 memory: 17087 grad_norm: 4.8257 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6847 loss: 1.6847 2022/08/03 19:43:07 - mmengine - INFO - Epoch(train) [47][600/1879] lr: 1.0000e-02 eta: 1 day, 22:52:48 time: 0.4249 data_time: 0.0164 memory: 17087 grad_norm: 4.9447 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5960 loss: 1.5960 2022/08/03 19:43:16 - mmengine - INFO - Epoch(train) [47][620/1879] lr: 1.0000e-02 eta: 1 day, 22:52:42 time: 0.4537 data_time: 0.0169 memory: 17087 grad_norm: 4.9359 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6978 loss: 1.6978 2022/08/03 19:43:24 - mmengine - INFO - Epoch(train) [47][640/1879] lr: 1.0000e-02 eta: 1 day, 22:52:33 time: 0.4261 data_time: 0.0152 memory: 17087 grad_norm: 4.8632 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5525 loss: 1.5525 2022/08/03 19:43:33 - mmengine - INFO - Epoch(train) [47][660/1879] lr: 1.0000e-02 eta: 1 day, 22:52:24 time: 0.4296 data_time: 0.0165 memory: 17087 grad_norm: 4.9468 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7210 loss: 1.7210 2022/08/03 19:43:41 - mmengine - INFO - Epoch(train) [47][680/1879] lr: 1.0000e-02 eta: 1 day, 22:52:16 time: 0.4281 data_time: 0.0184 memory: 17087 grad_norm: 4.9064 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5259 loss: 1.5259 2022/08/03 19:43:50 - mmengine - INFO - Epoch(train) [47][700/1879] lr: 1.0000e-02 eta: 1 day, 22:52:07 time: 0.4241 data_time: 0.0140 memory: 17087 grad_norm: 5.0853 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5860 loss: 1.5860 2022/08/03 19:43:59 - mmengine - INFO - Epoch(train) [47][720/1879] lr: 1.0000e-02 eta: 1 day, 22:51:58 time: 0.4305 data_time: 0.0160 memory: 17087 grad_norm: 5.0759 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8012 loss: 1.8012 2022/08/03 19:44:07 - mmengine - INFO - Epoch(train) [47][740/1879] lr: 1.0000e-02 eta: 1 day, 22:51:50 time: 0.4292 data_time: 0.0189 memory: 17087 grad_norm: 4.7750 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7998 loss: 1.7998 2022/08/03 19:44:16 - mmengine - INFO - Epoch(train) [47][760/1879] lr: 1.0000e-02 eta: 1 day, 22:51:43 time: 0.4505 data_time: 0.0160 memory: 17087 grad_norm: 4.9705 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6250 loss: 1.6250 2022/08/03 19:44:25 - mmengine - INFO - Epoch(train) [47][780/1879] lr: 1.0000e-02 eta: 1 day, 22:51:34 time: 0.4243 data_time: 0.0145 memory: 17087 grad_norm: 4.9385 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5664 loss: 1.5664 2022/08/03 19:44:33 - mmengine - INFO - Epoch(train) [47][800/1879] lr: 1.0000e-02 eta: 1 day, 22:51:26 time: 0.4248 data_time: 0.0152 memory: 17087 grad_norm: 5.1017 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7621 loss: 1.7621 2022/08/03 19:44:42 - mmengine - INFO - Epoch(train) [47][820/1879] lr: 1.0000e-02 eta: 1 day, 22:51:20 time: 0.4641 data_time: 0.0150 memory: 17087 grad_norm: 4.9313 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5452 loss: 1.5452 2022/08/03 19:44:51 - mmengine - INFO - Epoch(train) [47][840/1879] lr: 1.0000e-02 eta: 1 day, 22:51:12 time: 0.4272 data_time: 0.0166 memory: 17087 grad_norm: 4.9356 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6426 loss: 1.6426 2022/08/03 19:45:00 - mmengine - INFO - Epoch(train) [47][860/1879] lr: 1.0000e-02 eta: 1 day, 22:51:03 time: 0.4295 data_time: 0.0168 memory: 17087 grad_norm: 5.1352 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6990 loss: 1.6990 2022/08/03 19:45:08 - mmengine - INFO - Epoch(train) [47][880/1879] lr: 1.0000e-02 eta: 1 day, 22:50:54 time: 0.4259 data_time: 0.0160 memory: 17087 grad_norm: 5.0009 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7555 loss: 1.7555 2022/08/03 19:45:17 - mmengine - INFO - Epoch(train) [47][900/1879] lr: 1.0000e-02 eta: 1 day, 22:50:46 time: 0.4343 data_time: 0.0159 memory: 17087 grad_norm: 4.9154 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6208 loss: 1.6208 2022/08/03 19:45:25 - mmengine - INFO - Epoch(train) [47][920/1879] lr: 1.0000e-02 eta: 1 day, 22:50:37 time: 0.4260 data_time: 0.0157 memory: 17087 grad_norm: 4.9027 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6258 loss: 1.6258 2022/08/03 19:45:34 - mmengine - INFO - Epoch(train) [47][940/1879] lr: 1.0000e-02 eta: 1 day, 22:50:29 time: 0.4254 data_time: 0.0140 memory: 17087 grad_norm: 4.9396 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6255 loss: 1.6255 2022/08/03 19:45:43 - mmengine - INFO - Epoch(train) [47][960/1879] lr: 1.0000e-02 eta: 1 day, 22:50:22 time: 0.4534 data_time: 0.0158 memory: 17087 grad_norm: 4.7810 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5210 loss: 1.5210 2022/08/03 19:45:51 - mmengine - INFO - Epoch(train) [47][980/1879] lr: 1.0000e-02 eta: 1 day, 22:50:14 time: 0.4262 data_time: 0.0140 memory: 17087 grad_norm: 4.8152 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5422 loss: 1.5422 2022/08/03 19:46:00 - mmengine - INFO - Epoch(train) [47][1000/1879] lr: 1.0000e-02 eta: 1 day, 22:50:05 time: 0.4264 data_time: 0.0172 memory: 17087 grad_norm: 4.9943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6094 loss: 1.6094 2022/08/03 19:46:08 - mmengine - INFO - Epoch(train) [47][1020/1879] lr: 1.0000e-02 eta: 1 day, 22:49:56 time: 0.4246 data_time: 0.0145 memory: 17087 grad_norm: 4.9897 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6543 loss: 1.6543 2022/08/03 19:46:17 - mmengine - INFO - Epoch(train) [47][1040/1879] lr: 1.0000e-02 eta: 1 day, 22:49:47 time: 0.4273 data_time: 0.0169 memory: 17087 grad_norm: 5.0762 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5806 loss: 1.5806 2022/08/03 19:46:26 - mmengine - INFO - Epoch(train) [47][1060/1879] lr: 1.0000e-02 eta: 1 day, 22:49:39 time: 0.4271 data_time: 0.0149 memory: 17087 grad_norm: 4.9802 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6622 loss: 1.6622 2022/08/03 19:46:34 - mmengine - INFO - Epoch(train) [47][1080/1879] lr: 1.0000e-02 eta: 1 day, 22:49:30 time: 0.4256 data_time: 0.0152 memory: 17087 grad_norm: 4.9816 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4939 loss: 1.4939 2022/08/03 19:46:43 - mmengine - INFO - Epoch(train) [47][1100/1879] lr: 1.0000e-02 eta: 1 day, 22:49:21 time: 0.4296 data_time: 0.0160 memory: 17087 grad_norm: 5.0913 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6781 loss: 1.6781 2022/08/03 19:46:51 - mmengine - INFO - Epoch(train) [47][1120/1879] lr: 1.0000e-02 eta: 1 day, 22:49:13 time: 0.4295 data_time: 0.0154 memory: 17087 grad_norm: 5.0185 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7055 loss: 1.7055 2022/08/03 19:47:00 - mmengine - INFO - Epoch(train) [47][1140/1879] lr: 1.0000e-02 eta: 1 day, 22:49:04 time: 0.4297 data_time: 0.0153 memory: 17087 grad_norm: 4.9750 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7131 loss: 1.7131 2022/08/03 19:47:08 - mmengine - INFO - Epoch(train) [47][1160/1879] lr: 1.0000e-02 eta: 1 day, 22:48:56 time: 0.4253 data_time: 0.0148 memory: 17087 grad_norm: 4.8739 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7893 loss: 1.7893 2022/08/03 19:47:17 - mmengine - INFO - Epoch(train) [47][1180/1879] lr: 1.0000e-02 eta: 1 day, 22:48:47 time: 0.4340 data_time: 0.0138 memory: 17087 grad_norm: 5.0257 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8343 loss: 1.8343 2022/08/03 19:47:26 - mmengine - INFO - Epoch(train) [47][1200/1879] lr: 1.0000e-02 eta: 1 day, 22:48:39 time: 0.4272 data_time: 0.0163 memory: 17087 grad_norm: 4.8947 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3836 loss: 1.3836 2022/08/03 19:47:34 - mmengine - INFO - Epoch(train) [47][1220/1879] lr: 1.0000e-02 eta: 1 day, 22:48:30 time: 0.4250 data_time: 0.0141 memory: 17087 grad_norm: 5.1063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5366 loss: 1.5366 2022/08/03 19:47:43 - mmengine - INFO - Epoch(train) [47][1240/1879] lr: 1.0000e-02 eta: 1 day, 22:48:21 time: 0.4272 data_time: 0.0150 memory: 17087 grad_norm: 5.0170 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7081 loss: 1.7081 2022/08/03 19:47:51 - mmengine - INFO - Epoch(train) [47][1260/1879] lr: 1.0000e-02 eta: 1 day, 22:48:12 time: 0.4246 data_time: 0.0151 memory: 17087 grad_norm: 5.0630 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7417 loss: 1.7417 2022/08/03 19:48:00 - mmengine - INFO - Epoch(train) [47][1280/1879] lr: 1.0000e-02 eta: 1 day, 22:48:04 time: 0.4290 data_time: 0.0149 memory: 17087 grad_norm: 4.7815 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5234 loss: 1.5234 2022/08/03 19:48:08 - mmengine - INFO - Epoch(train) [47][1300/1879] lr: 1.0000e-02 eta: 1 day, 22:47:55 time: 0.4265 data_time: 0.0155 memory: 17087 grad_norm: 4.9506 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7005 loss: 1.7005 2022/08/03 19:48:17 - mmengine - INFO - Epoch(train) [47][1320/1879] lr: 1.0000e-02 eta: 1 day, 22:47:48 time: 0.4498 data_time: 0.0159 memory: 17087 grad_norm: 4.9472 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6075 loss: 1.6075 2022/08/03 19:48:26 - mmengine - INFO - Epoch(train) [47][1340/1879] lr: 1.0000e-02 eta: 1 day, 22:47:40 time: 0.4295 data_time: 0.0207 memory: 17087 grad_norm: 5.0828 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7724 loss: 1.7724 2022/08/03 19:48:34 - mmengine - INFO - Epoch(train) [47][1360/1879] lr: 1.0000e-02 eta: 1 day, 22:47:31 time: 0.4256 data_time: 0.0145 memory: 17087 grad_norm: 4.9794 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6227 loss: 1.6227 2022/08/03 19:48:43 - mmengine - INFO - Epoch(train) [47][1380/1879] lr: 1.0000e-02 eta: 1 day, 22:47:22 time: 0.4257 data_time: 0.0132 memory: 17087 grad_norm: 4.9603 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7229 loss: 1.7229 2022/08/03 19:48:51 - mmengine - INFO - Epoch(train) [47][1400/1879] lr: 1.0000e-02 eta: 1 day, 22:47:14 time: 0.4252 data_time: 0.0158 memory: 17087 grad_norm: 4.8287 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4768 loss: 1.4768 2022/08/03 19:49:00 - mmengine - INFO - Epoch(train) [47][1420/1879] lr: 1.0000e-02 eta: 1 day, 22:47:06 time: 0.4435 data_time: 0.0148 memory: 17087 grad_norm: 4.9095 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7313 loss: 1.7313 2022/08/03 19:49:09 - mmengine - INFO - Epoch(train) [47][1440/1879] lr: 1.0000e-02 eta: 1 day, 22:46:58 time: 0.4309 data_time: 0.0220 memory: 17087 grad_norm: 4.9032 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5521 loss: 1.5521 2022/08/03 19:49:18 - mmengine - INFO - Epoch(train) [47][1460/1879] lr: 1.0000e-02 eta: 1 day, 22:46:49 time: 0.4284 data_time: 0.0140 memory: 17087 grad_norm: 4.8232 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4542 loss: 1.4542 2022/08/03 19:49:26 - mmengine - INFO - Epoch(train) [47][1480/1879] lr: 1.0000e-02 eta: 1 day, 22:46:41 time: 0.4281 data_time: 0.0164 memory: 17087 grad_norm: 4.8846 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6601 loss: 1.6601 2022/08/03 19:49:35 - mmengine - INFO - Epoch(train) [47][1500/1879] lr: 1.0000e-02 eta: 1 day, 22:46:32 time: 0.4292 data_time: 0.0141 memory: 17087 grad_norm: 4.9904 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5662 loss: 1.5662 2022/08/03 19:49:43 - mmengine - INFO - Epoch(train) [47][1520/1879] lr: 1.0000e-02 eta: 1 day, 22:46:24 time: 0.4326 data_time: 0.0158 memory: 17087 grad_norm: 5.0008 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7100 loss: 1.7100 2022/08/03 19:49:52 - mmengine - INFO - Epoch(train) [47][1540/1879] lr: 1.0000e-02 eta: 1 day, 22:46:15 time: 0.4240 data_time: 0.0147 memory: 17087 grad_norm: 4.9752 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5311 loss: 1.5311 2022/08/03 19:50:00 - mmengine - INFO - Epoch(train) [47][1560/1879] lr: 1.0000e-02 eta: 1 day, 22:46:07 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 4.9340 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6465 loss: 1.6465 2022/08/03 19:50:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:50:09 - mmengine - INFO - Epoch(train) [47][1580/1879] lr: 1.0000e-02 eta: 1 day, 22:45:58 time: 0.4266 data_time: 0.0149 memory: 17087 grad_norm: 4.9340 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6754 loss: 1.6754 2022/08/03 19:50:18 - mmengine - INFO - Epoch(train) [47][1600/1879] lr: 1.0000e-02 eta: 1 day, 22:45:51 time: 0.4499 data_time: 0.0163 memory: 17087 grad_norm: 4.9719 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5565 loss: 1.5565 2022/08/03 19:50:27 - mmengine - INFO - Epoch(train) [47][1620/1879] lr: 1.0000e-02 eta: 1 day, 22:45:43 time: 0.4257 data_time: 0.0149 memory: 17087 grad_norm: 4.9901 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5942 loss: 1.5942 2022/08/03 19:50:35 - mmengine - INFO - Epoch(train) [47][1640/1879] lr: 1.0000e-02 eta: 1 day, 22:45:35 time: 0.4440 data_time: 0.0160 memory: 17087 grad_norm: 4.9507 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7099 loss: 1.7099 2022/08/03 19:50:44 - mmengine - INFO - Epoch(train) [47][1660/1879] lr: 1.0000e-02 eta: 1 day, 22:45:26 time: 0.4230 data_time: 0.0128 memory: 17087 grad_norm: 4.9122 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6865 loss: 1.6865 2022/08/03 19:50:53 - mmengine - INFO - Epoch(train) [47][1680/1879] lr: 1.0000e-02 eta: 1 day, 22:45:18 time: 0.4358 data_time: 0.0161 memory: 17087 grad_norm: 4.8077 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5875 loss: 1.5875 2022/08/03 19:51:01 - mmengine - INFO - Epoch(train) [47][1700/1879] lr: 1.0000e-02 eta: 1 day, 22:45:11 time: 0.4370 data_time: 0.0170 memory: 17087 grad_norm: 5.0688 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7518 loss: 1.7518 2022/08/03 19:51:10 - mmengine - INFO - Epoch(train) [47][1720/1879] lr: 1.0000e-02 eta: 1 day, 22:45:02 time: 0.4327 data_time: 0.0193 memory: 17087 grad_norm: 4.8325 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6261 loss: 1.6261 2022/08/03 19:51:19 - mmengine - INFO - Epoch(train) [47][1740/1879] lr: 1.0000e-02 eta: 1 day, 22:44:54 time: 0.4272 data_time: 0.0147 memory: 17087 grad_norm: 4.8833 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5909 loss: 1.5909 2022/08/03 19:51:27 - mmengine - INFO - Epoch(train) [47][1760/1879] lr: 1.0000e-02 eta: 1 day, 22:44:46 time: 0.4342 data_time: 0.0156 memory: 17087 grad_norm: 4.8971 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5324 loss: 1.5324 2022/08/03 19:51:36 - mmengine - INFO - Epoch(train) [47][1780/1879] lr: 1.0000e-02 eta: 1 day, 22:44:37 time: 0.4263 data_time: 0.0149 memory: 17087 grad_norm: 5.0846 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6129 loss: 1.6129 2022/08/03 19:51:44 - mmengine - INFO - Epoch(train) [47][1800/1879] lr: 1.0000e-02 eta: 1 day, 22:44:28 time: 0.4270 data_time: 0.0197 memory: 17087 grad_norm: 5.0091 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5876 loss: 1.5876 2022/08/03 19:51:53 - mmengine - INFO - Epoch(train) [47][1820/1879] lr: 1.0000e-02 eta: 1 day, 22:44:19 time: 0.4251 data_time: 0.0140 memory: 17087 grad_norm: 5.0556 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6863 loss: 1.6863 2022/08/03 19:52:01 - mmengine - INFO - Epoch(train) [47][1840/1879] lr: 1.0000e-02 eta: 1 day, 22:44:11 time: 0.4272 data_time: 0.0170 memory: 17087 grad_norm: 4.9305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6140 loss: 1.6140 2022/08/03 19:52:10 - mmengine - INFO - Epoch(train) [47][1860/1879] lr: 1.0000e-02 eta: 1 day, 22:44:02 time: 0.4238 data_time: 0.0147 memory: 17087 grad_norm: 5.0616 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7967 loss: 1.7967 2022/08/03 19:52:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:52:18 - mmengine - INFO - Epoch(train) [47][1879/1879] lr: 1.0000e-02 eta: 1 day, 22:44:02 time: 0.4314 data_time: 0.0158 memory: 17087 grad_norm: 5.1439 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.8859 loss: 1.8859 2022/08/03 19:52:30 - mmengine - INFO - Epoch(train) [48][20/1879] lr: 1.0000e-02 eta: 1 day, 22:43:22 time: 0.5738 data_time: 0.1314 memory: 17087 grad_norm: 4.8416 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4834 loss: 1.4834 2022/08/03 19:52:39 - mmengine - INFO - Epoch(train) [48][40/1879] lr: 1.0000e-02 eta: 1 day, 22:43:15 time: 0.4452 data_time: 0.0170 memory: 17087 grad_norm: 5.0174 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8100 loss: 1.8100 2022/08/03 19:52:47 - mmengine - INFO - Epoch(train) [48][60/1879] lr: 1.0000e-02 eta: 1 day, 22:43:06 time: 0.4291 data_time: 0.0180 memory: 17087 grad_norm: 4.9861 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6684 loss: 1.6684 2022/08/03 19:52:56 - mmengine - INFO - Epoch(train) [48][80/1879] lr: 1.0000e-02 eta: 1 day, 22:42:58 time: 0.4298 data_time: 0.0151 memory: 17087 grad_norm: 4.9151 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5626 loss: 1.5626 2022/08/03 19:53:04 - mmengine - INFO - Epoch(train) [48][100/1879] lr: 1.0000e-02 eta: 1 day, 22:42:49 time: 0.4236 data_time: 0.0126 memory: 17087 grad_norm: 4.7914 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4696 loss: 1.4696 2022/08/03 19:53:13 - mmengine - INFO - Epoch(train) [48][120/1879] lr: 1.0000e-02 eta: 1 day, 22:42:40 time: 0.4267 data_time: 0.0179 memory: 17087 grad_norm: 4.8819 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6350 loss: 1.6350 2022/08/03 19:53:21 - mmengine - INFO - Epoch(train) [48][140/1879] lr: 1.0000e-02 eta: 1 day, 22:42:32 time: 0.4378 data_time: 0.0174 memory: 17087 grad_norm: 4.8279 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8547 loss: 1.8547 2022/08/03 19:53:30 - mmengine - INFO - Epoch(train) [48][160/1879] lr: 1.0000e-02 eta: 1 day, 22:42:24 time: 0.4306 data_time: 0.0198 memory: 17087 grad_norm: 4.9433 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7687 loss: 1.7687 2022/08/03 19:53:39 - mmengine - INFO - Epoch(train) [48][180/1879] lr: 1.0000e-02 eta: 1 day, 22:42:15 time: 0.4243 data_time: 0.0135 memory: 17087 grad_norm: 4.8396 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5710 loss: 1.5710 2022/08/03 19:53:47 - mmengine - INFO - Epoch(train) [48][200/1879] lr: 1.0000e-02 eta: 1 day, 22:42:07 time: 0.4305 data_time: 0.0166 memory: 17087 grad_norm: 4.9041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6273 loss: 1.6273 2022/08/03 19:53:56 - mmengine - INFO - Epoch(train) [48][220/1879] lr: 1.0000e-02 eta: 1 day, 22:41:59 time: 0.4353 data_time: 0.0138 memory: 17087 grad_norm: 4.8679 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4454 loss: 1.4454 2022/08/03 19:54:04 - mmengine - INFO - Epoch(train) [48][240/1879] lr: 1.0000e-02 eta: 1 day, 22:41:50 time: 0.4262 data_time: 0.0160 memory: 17087 grad_norm: 4.8826 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7337 loss: 1.7337 2022/08/03 19:54:13 - mmengine - INFO - Epoch(train) [48][260/1879] lr: 1.0000e-02 eta: 1 day, 22:41:42 time: 0.4323 data_time: 0.0148 memory: 17087 grad_norm: 4.8556 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4823 loss: 1.4823 2022/08/03 19:54:22 - mmengine - INFO - Epoch(train) [48][280/1879] lr: 1.0000e-02 eta: 1 day, 22:41:33 time: 0.4271 data_time: 0.0168 memory: 17087 grad_norm: 4.9918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7537 loss: 1.7537 2022/08/03 19:54:30 - mmengine - INFO - Epoch(train) [48][300/1879] lr: 1.0000e-02 eta: 1 day, 22:41:25 time: 0.4309 data_time: 0.0149 memory: 17087 grad_norm: 4.8588 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5847 loss: 1.5847 2022/08/03 19:54:39 - mmengine - INFO - Epoch(train) [48][320/1879] lr: 1.0000e-02 eta: 1 day, 22:41:17 time: 0.4393 data_time: 0.0163 memory: 17087 grad_norm: 5.0414 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6031 loss: 1.6031 2022/08/03 19:54:48 - mmengine - INFO - Epoch(train) [48][340/1879] lr: 1.0000e-02 eta: 1 day, 22:41:09 time: 0.4321 data_time: 0.0146 memory: 17087 grad_norm: 4.8329 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4747 loss: 1.4747 2022/08/03 19:54:57 - mmengine - INFO - Epoch(train) [48][360/1879] lr: 1.0000e-02 eta: 1 day, 22:41:02 time: 0.4420 data_time: 0.0184 memory: 17087 grad_norm: 4.8958 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.6786 loss: 1.6786 2022/08/03 19:55:05 - mmengine - INFO - Epoch(train) [48][380/1879] lr: 1.0000e-02 eta: 1 day, 22:40:53 time: 0.4234 data_time: 0.0140 memory: 17087 grad_norm: 5.0665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5551 loss: 1.5551 2022/08/03 19:55:14 - mmengine - INFO - Epoch(train) [48][400/1879] lr: 1.0000e-02 eta: 1 day, 22:40:44 time: 0.4272 data_time: 0.0166 memory: 17087 grad_norm: 4.9011 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5446 loss: 1.5446 2022/08/03 19:55:22 - mmengine - INFO - Epoch(train) [48][420/1879] lr: 1.0000e-02 eta: 1 day, 22:40:35 time: 0.4272 data_time: 0.0173 memory: 17087 grad_norm: 5.0202 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6761 loss: 1.6761 2022/08/03 19:55:31 - mmengine - INFO - Epoch(train) [48][440/1879] lr: 1.0000e-02 eta: 1 day, 22:40:27 time: 0.4306 data_time: 0.0171 memory: 17087 grad_norm: 4.6691 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6012 loss: 1.6012 2022/08/03 19:55:40 - mmengine - INFO - Epoch(train) [48][460/1879] lr: 1.0000e-02 eta: 1 day, 22:40:19 time: 0.4367 data_time: 0.0139 memory: 17087 grad_norm: 5.0142 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7384 loss: 1.7384 2022/08/03 19:55:48 - mmengine - INFO - Epoch(train) [48][480/1879] lr: 1.0000e-02 eta: 1 day, 22:40:10 time: 0.4268 data_time: 0.0166 memory: 17087 grad_norm: 4.9769 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6550 loss: 1.6550 2022/08/03 19:55:57 - mmengine - INFO - Epoch(train) [48][500/1879] lr: 1.0000e-02 eta: 1 day, 22:40:03 time: 0.4396 data_time: 0.0134 memory: 17087 grad_norm: 4.8385 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4634 loss: 1.4634 2022/08/03 19:56:05 - mmengine - INFO - Epoch(train) [48][520/1879] lr: 1.0000e-02 eta: 1 day, 22:39:54 time: 0.4264 data_time: 0.0152 memory: 17087 grad_norm: 4.9642 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6237 loss: 1.6237 2022/08/03 19:56:14 - mmengine - INFO - Epoch(train) [48][540/1879] lr: 1.0000e-02 eta: 1 day, 22:39:45 time: 0.4247 data_time: 0.0128 memory: 17087 grad_norm: 5.0053 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3414 loss: 1.3414 2022/08/03 19:56:22 - mmengine - INFO - Epoch(train) [48][560/1879] lr: 1.0000e-02 eta: 1 day, 22:39:37 time: 0.4295 data_time: 0.0184 memory: 17087 grad_norm: 4.8964 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5183 loss: 1.5183 2022/08/03 19:56:31 - mmengine - INFO - Epoch(train) [48][580/1879] lr: 1.0000e-02 eta: 1 day, 22:39:28 time: 0.4233 data_time: 0.0143 memory: 17087 grad_norm: 4.8462 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6156 loss: 1.6156 2022/08/03 19:56:40 - mmengine - INFO - Epoch(train) [48][600/1879] lr: 1.0000e-02 eta: 1 day, 22:39:20 time: 0.4329 data_time: 0.0171 memory: 17087 grad_norm: 5.0128 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6077 loss: 1.6077 2022/08/03 19:56:48 - mmengine - INFO - Epoch(train) [48][620/1879] lr: 1.0000e-02 eta: 1 day, 22:39:11 time: 0.4264 data_time: 0.0148 memory: 17087 grad_norm: 4.9183 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5662 loss: 1.5662 2022/08/03 19:56:57 - mmengine - INFO - Epoch(train) [48][640/1879] lr: 1.0000e-02 eta: 1 day, 22:39:04 time: 0.4470 data_time: 0.0171 memory: 17087 grad_norm: 5.0189 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4966 loss: 1.4966 2022/08/03 19:57:06 - mmengine - INFO - Epoch(train) [48][660/1879] lr: 1.0000e-02 eta: 1 day, 22:38:56 time: 0.4340 data_time: 0.0142 memory: 17087 grad_norm: 4.9714 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6068 loss: 1.6068 2022/08/03 19:57:14 - mmengine - INFO - Epoch(train) [48][680/1879] lr: 1.0000e-02 eta: 1 day, 22:38:47 time: 0.4282 data_time: 0.0209 memory: 17087 grad_norm: 5.0061 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6492 loss: 1.6492 2022/08/03 19:57:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 19:57:23 - mmengine - INFO - Epoch(train) [48][700/1879] lr: 1.0000e-02 eta: 1 day, 22:38:40 time: 0.4445 data_time: 0.0130 memory: 17087 grad_norm: 4.9766 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5284 loss: 1.5284 2022/08/03 19:57:32 - mmengine - INFO - Epoch(train) [48][720/1879] lr: 1.0000e-02 eta: 1 day, 22:38:31 time: 0.4239 data_time: 0.0141 memory: 17087 grad_norm: 4.8547 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7129 loss: 1.7129 2022/08/03 19:57:40 - mmengine - INFO - Epoch(train) [48][740/1879] lr: 1.0000e-02 eta: 1 day, 22:38:23 time: 0.4283 data_time: 0.0155 memory: 17087 grad_norm: 4.9404 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7466 loss: 1.7466 2022/08/03 19:57:49 - mmengine - INFO - Epoch(train) [48][760/1879] lr: 1.0000e-02 eta: 1 day, 22:38:14 time: 0.4288 data_time: 0.0155 memory: 17087 grad_norm: 5.0020 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5938 loss: 1.5938 2022/08/03 19:57:58 - mmengine - INFO - Epoch(train) [48][780/1879] lr: 1.0000e-02 eta: 1 day, 22:38:07 time: 0.4453 data_time: 0.0148 memory: 17087 grad_norm: 4.9966 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5715 loss: 1.5715 2022/08/03 19:58:06 - mmengine - INFO - Epoch(train) [48][800/1879] lr: 1.0000e-02 eta: 1 day, 22:37:58 time: 0.4261 data_time: 0.0151 memory: 17087 grad_norm: 4.9735 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5657 loss: 1.5657 2022/08/03 19:58:15 - mmengine - INFO - Epoch(train) [48][820/1879] lr: 1.0000e-02 eta: 1 day, 22:37:49 time: 0.4245 data_time: 0.0144 memory: 17087 grad_norm: 4.9627 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6385 loss: 1.6385 2022/08/03 19:58:24 - mmengine - INFO - Epoch(train) [48][840/1879] lr: 1.0000e-02 eta: 1 day, 22:37:41 time: 0.4350 data_time: 0.0155 memory: 17087 grad_norm: 5.0637 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5938 loss: 1.5938 2022/08/03 19:58:32 - mmengine - INFO - Epoch(train) [48][860/1879] lr: 1.0000e-02 eta: 1 day, 22:37:32 time: 0.4234 data_time: 0.0145 memory: 17087 grad_norm: 5.0346 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6928 loss: 1.6928 2022/08/03 19:58:41 - mmengine - INFO - Epoch(train) [48][880/1879] lr: 1.0000e-02 eta: 1 day, 22:37:24 time: 0.4357 data_time: 0.0160 memory: 17087 grad_norm: 5.0864 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6505 loss: 1.6505 2022/08/03 19:58:49 - mmengine - INFO - Epoch(train) [48][900/1879] lr: 1.0000e-02 eta: 1 day, 22:37:16 time: 0.4290 data_time: 0.0163 memory: 17087 grad_norm: 4.9307 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5793 loss: 1.5793 2022/08/03 19:58:58 - mmengine - INFO - Epoch(train) [48][920/1879] lr: 1.0000e-02 eta: 1 day, 22:37:07 time: 0.4269 data_time: 0.0160 memory: 17087 grad_norm: 4.8947 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4811 loss: 1.4811 2022/08/03 19:59:06 - mmengine - INFO - Epoch(train) [48][940/1879] lr: 1.0000e-02 eta: 1 day, 22:36:58 time: 0.4243 data_time: 0.0142 memory: 17087 grad_norm: 4.9186 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8171 loss: 1.8171 2022/08/03 19:59:15 - mmengine - INFO - Epoch(train) [48][960/1879] lr: 1.0000e-02 eta: 1 day, 22:36:49 time: 0.4246 data_time: 0.0152 memory: 17087 grad_norm: 4.9883 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6917 loss: 1.6917 2022/08/03 19:59:23 - mmengine - INFO - Epoch(train) [48][980/1879] lr: 1.0000e-02 eta: 1 day, 22:36:40 time: 0.4255 data_time: 0.0149 memory: 17087 grad_norm: 4.9033 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6537 loss: 1.6537 2022/08/03 19:59:32 - mmengine - INFO - Epoch(train) [48][1000/1879] lr: 1.0000e-02 eta: 1 day, 22:36:32 time: 0.4280 data_time: 0.0157 memory: 17087 grad_norm: 4.8631 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4609 loss: 1.4609 2022/08/03 19:59:40 - mmengine - INFO - Epoch(train) [48][1020/1879] lr: 1.0000e-02 eta: 1 day, 22:36:23 time: 0.4253 data_time: 0.0141 memory: 17087 grad_norm: 4.8913 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4067 loss: 1.4067 2022/08/03 19:59:49 - mmengine - INFO - Epoch(train) [48][1040/1879] lr: 1.0000e-02 eta: 1 day, 22:36:15 time: 0.4298 data_time: 0.0189 memory: 17087 grad_norm: 4.8201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5683 loss: 1.5683 2022/08/03 19:59:58 - mmengine - INFO - Epoch(train) [48][1060/1879] lr: 1.0000e-02 eta: 1 day, 22:36:06 time: 0.4268 data_time: 0.0144 memory: 17087 grad_norm: 4.8753 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7174 loss: 1.7174 2022/08/03 20:00:06 - mmengine - INFO - Epoch(train) [48][1080/1879] lr: 1.0000e-02 eta: 1 day, 22:35:58 time: 0.4317 data_time: 0.0213 memory: 17087 grad_norm: 5.1626 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7493 loss: 1.7493 2022/08/03 20:00:15 - mmengine - INFO - Epoch(train) [48][1100/1879] lr: 1.0000e-02 eta: 1 day, 22:35:49 time: 0.4251 data_time: 0.0139 memory: 17087 grad_norm: 4.8907 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6010 loss: 1.6010 2022/08/03 20:00:23 - mmengine - INFO - Epoch(train) [48][1120/1879] lr: 1.0000e-02 eta: 1 day, 22:35:40 time: 0.4273 data_time: 0.0151 memory: 17087 grad_norm: 4.9601 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5192 loss: 1.5192 2022/08/03 20:00:32 - mmengine - INFO - Epoch(train) [48][1140/1879] lr: 1.0000e-02 eta: 1 day, 22:35:32 time: 0.4311 data_time: 0.0163 memory: 17087 grad_norm: 5.0885 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7729 loss: 1.7729 2022/08/03 20:00:40 - mmengine - INFO - Epoch(train) [48][1160/1879] lr: 1.0000e-02 eta: 1 day, 22:35:23 time: 0.4266 data_time: 0.0149 memory: 17087 grad_norm: 4.9379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6604 loss: 1.6604 2022/08/03 20:00:49 - mmengine - INFO - Epoch(train) [48][1180/1879] lr: 1.0000e-02 eta: 1 day, 22:35:15 time: 0.4286 data_time: 0.0191 memory: 17087 grad_norm: 4.8420 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4801 loss: 1.4801 2022/08/03 20:00:58 - mmengine - INFO - Epoch(train) [48][1200/1879] lr: 1.0000e-02 eta: 1 day, 22:35:06 time: 0.4237 data_time: 0.0153 memory: 17087 grad_norm: 4.8521 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5482 loss: 1.5482 2022/08/03 20:01:06 - mmengine - INFO - Epoch(train) [48][1220/1879] lr: 1.0000e-02 eta: 1 day, 22:34:58 time: 0.4375 data_time: 0.0155 memory: 17087 grad_norm: 4.9666 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6648 loss: 1.6648 2022/08/03 20:01:15 - mmengine - INFO - Epoch(train) [48][1240/1879] lr: 1.0000e-02 eta: 1 day, 22:34:49 time: 0.4257 data_time: 0.0159 memory: 17087 grad_norm: 5.2201 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8400 loss: 1.8400 2022/08/03 20:01:23 - mmengine - INFO - Epoch(train) [48][1260/1879] lr: 1.0000e-02 eta: 1 day, 22:34:40 time: 0.4260 data_time: 0.0160 memory: 17087 grad_norm: 5.0310 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6938 loss: 1.6938 2022/08/03 20:01:32 - mmengine - INFO - Epoch(train) [48][1280/1879] lr: 1.0000e-02 eta: 1 day, 22:34:31 time: 0.4263 data_time: 0.0168 memory: 17087 grad_norm: 4.9522 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5862 loss: 1.5862 2022/08/03 20:01:40 - mmengine - INFO - Epoch(train) [48][1300/1879] lr: 1.0000e-02 eta: 1 day, 22:34:23 time: 0.4240 data_time: 0.0148 memory: 17087 grad_norm: 4.8851 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5200 loss: 1.5200 2022/08/03 20:01:49 - mmengine - INFO - Epoch(train) [48][1320/1879] lr: 1.0000e-02 eta: 1 day, 22:34:14 time: 0.4271 data_time: 0.0164 memory: 17087 grad_norm: 4.9811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7622 loss: 1.7622 2022/08/03 20:01:57 - mmengine - INFO - Epoch(train) [48][1340/1879] lr: 1.0000e-02 eta: 1 day, 22:34:05 time: 0.4275 data_time: 0.0147 memory: 17087 grad_norm: 4.8989 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7066 loss: 1.7066 2022/08/03 20:02:06 - mmengine - INFO - Epoch(train) [48][1360/1879] lr: 1.0000e-02 eta: 1 day, 22:33:57 time: 0.4269 data_time: 0.0181 memory: 17087 grad_norm: 4.9451 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5718 loss: 1.5718 2022/08/03 20:02:14 - mmengine - INFO - Epoch(train) [48][1380/1879] lr: 1.0000e-02 eta: 1 day, 22:33:48 time: 0.4240 data_time: 0.0134 memory: 17087 grad_norm: 4.8279 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6460 loss: 1.6460 2022/08/03 20:02:23 - mmengine - INFO - Epoch(train) [48][1400/1879] lr: 1.0000e-02 eta: 1 day, 22:33:39 time: 0.4274 data_time: 0.0158 memory: 17087 grad_norm: 4.9402 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5883 loss: 1.5883 2022/08/03 20:02:32 - mmengine - INFO - Epoch(train) [48][1420/1879] lr: 1.0000e-02 eta: 1 day, 22:33:30 time: 0.4257 data_time: 0.0160 memory: 17087 grad_norm: 4.8388 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5480 loss: 1.5480 2022/08/03 20:02:40 - mmengine - INFO - Epoch(train) [48][1440/1879] lr: 1.0000e-02 eta: 1 day, 22:33:21 time: 0.4253 data_time: 0.0143 memory: 17087 grad_norm: 4.9487 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4835 loss: 1.4835 2022/08/03 20:02:49 - mmengine - INFO - Epoch(train) [48][1460/1879] lr: 1.0000e-02 eta: 1 day, 22:33:13 time: 0.4267 data_time: 0.0166 memory: 17087 grad_norm: 5.0710 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6361 loss: 1.6361 2022/08/03 20:02:57 - mmengine - INFO - Epoch(train) [48][1480/1879] lr: 1.0000e-02 eta: 1 day, 22:33:04 time: 0.4303 data_time: 0.0158 memory: 17087 grad_norm: 4.9395 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6389 loss: 1.6389 2022/08/03 20:03:06 - mmengine - INFO - Epoch(train) [48][1500/1879] lr: 1.0000e-02 eta: 1 day, 22:32:55 time: 0.4252 data_time: 0.0146 memory: 17087 grad_norm: 5.0508 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8310 loss: 1.8310 2022/08/03 20:03:14 - mmengine - INFO - Epoch(train) [48][1520/1879] lr: 1.0000e-02 eta: 1 day, 22:32:47 time: 0.4300 data_time: 0.0170 memory: 17087 grad_norm: 4.8935 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5001 loss: 1.5001 2022/08/03 20:03:23 - mmengine - INFO - Epoch(train) [48][1540/1879] lr: 1.0000e-02 eta: 1 day, 22:32:38 time: 0.4244 data_time: 0.0123 memory: 17087 grad_norm: 4.9002 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7206 loss: 1.7206 2022/08/03 20:03:31 - mmengine - INFO - Epoch(train) [48][1560/1879] lr: 1.0000e-02 eta: 1 day, 22:32:30 time: 0.4299 data_time: 0.0175 memory: 17087 grad_norm: 4.9353 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6937 loss: 1.6937 2022/08/03 20:03:40 - mmengine - INFO - Epoch(train) [48][1580/1879] lr: 1.0000e-02 eta: 1 day, 22:32:21 time: 0.4244 data_time: 0.0136 memory: 17087 grad_norm: 4.9097 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7763 loss: 1.7763 2022/08/03 20:03:48 - mmengine - INFO - Epoch(train) [48][1600/1879] lr: 1.0000e-02 eta: 1 day, 22:32:12 time: 0.4259 data_time: 0.0191 memory: 17087 grad_norm: 5.0113 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3161 loss: 1.3161 2022/08/03 20:03:57 - mmengine - INFO - Epoch(train) [48][1620/1879] lr: 1.0000e-02 eta: 1 day, 22:32:03 time: 0.4271 data_time: 0.0129 memory: 17087 grad_norm: 5.0467 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5912 loss: 1.5912 2022/08/03 20:04:05 - mmengine - INFO - Epoch(train) [48][1640/1879] lr: 1.0000e-02 eta: 1 day, 22:31:54 time: 0.4235 data_time: 0.0154 memory: 17087 grad_norm: 4.8555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5586 loss: 1.5586 2022/08/03 20:04:14 - mmengine - INFO - Epoch(train) [48][1660/1879] lr: 1.0000e-02 eta: 1 day, 22:31:47 time: 0.4463 data_time: 0.0141 memory: 17087 grad_norm: 5.0397 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6144 loss: 1.6144 2022/08/03 20:04:23 - mmengine - INFO - Epoch(train) [48][1680/1879] lr: 1.0000e-02 eta: 1 day, 22:31:39 time: 0.4273 data_time: 0.0160 memory: 17087 grad_norm: 4.8501 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6801 loss: 1.6801 2022/08/03 20:04:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 20:04:31 - mmengine - INFO - Epoch(train) [48][1700/1879] lr: 1.0000e-02 eta: 1 day, 22:31:30 time: 0.4253 data_time: 0.0155 memory: 17087 grad_norm: 4.8911 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.8172 loss: 1.8172 2022/08/03 20:04:40 - mmengine - INFO - Epoch(train) [48][1720/1879] lr: 1.0000e-02 eta: 1 day, 22:31:21 time: 0.4256 data_time: 0.0157 memory: 17087 grad_norm: 4.9177 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6853 loss: 1.6853 2022/08/03 20:04:49 - mmengine - INFO - Epoch(train) [48][1740/1879] lr: 1.0000e-02 eta: 1 day, 22:31:14 time: 0.4474 data_time: 0.0188 memory: 17087 grad_norm: 4.8729 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6846 loss: 1.6846 2022/08/03 20:04:57 - mmengine - INFO - Epoch(train) [48][1760/1879] lr: 1.0000e-02 eta: 1 day, 22:31:05 time: 0.4251 data_time: 0.0168 memory: 17087 grad_norm: 4.7908 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5639 loss: 1.5639 2022/08/03 20:05:07 - mmengine - INFO - Epoch(train) [48][1780/1879] lr: 1.0000e-02 eta: 1 day, 22:30:59 time: 0.4538 data_time: 0.0154 memory: 17087 grad_norm: 4.9385 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6113 loss: 1.6113 2022/08/03 20:05:15 - mmengine - INFO - Epoch(train) [48][1800/1879] lr: 1.0000e-02 eta: 1 day, 22:30:50 time: 0.4243 data_time: 0.0145 memory: 17087 grad_norm: 4.9702 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6503 loss: 1.6503 2022/08/03 20:05:24 - mmengine - INFO - Epoch(train) [48][1820/1879] lr: 1.0000e-02 eta: 1 day, 22:30:41 time: 0.4291 data_time: 0.0134 memory: 17087 grad_norm: 4.9675 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6541 loss: 1.6541 2022/08/03 20:05:33 - mmengine - INFO - Epoch(train) [48][1840/1879] lr: 1.0000e-02 eta: 1 day, 22:30:34 time: 0.4463 data_time: 0.0157 memory: 17087 grad_norm: 4.7587 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7233 loss: 1.7233 2022/08/03 20:05:42 - mmengine - INFO - Epoch(train) [48][1860/1879] lr: 1.0000e-02 eta: 1 day, 22:30:27 time: 0.4477 data_time: 0.0170 memory: 17087 grad_norm: 4.7581 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7444 loss: 1.7444 2022/08/03 20:05:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 20:05:49 - mmengine - INFO - Epoch(train) [48][1879/1879] lr: 1.0000e-02 eta: 1 day, 22:30:27 time: 0.4075 data_time: 0.0145 memory: 17087 grad_norm: 4.9768 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.7899 loss: 1.7899 2022/08/03 20:05:49 - mmengine - INFO - Saving checkpoint at 48 epochs 2022/08/03 20:06:04 - mmengine - INFO - Epoch(train) [49][20/1879] lr: 1.0000e-02 eta: 1 day, 22:29:42 time: 0.5071 data_time: 0.0951 memory: 17087 grad_norm: 4.9085 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5799 loss: 1.5799 2022/08/03 20:06:13 - mmengine - INFO - Epoch(train) [49][40/1879] lr: 1.0000e-02 eta: 1 day, 22:29:36 time: 0.4499 data_time: 0.0221 memory: 17087 grad_norm: 4.7745 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5735 loss: 1.5735 2022/08/03 20:06:21 - mmengine - INFO - Epoch(train) [49][60/1879] lr: 1.0000e-02 eta: 1 day, 22:29:27 time: 0.4242 data_time: 0.0136 memory: 17087 grad_norm: 4.9917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6918 loss: 1.6918 2022/08/03 20:06:30 - mmengine - INFO - Epoch(train) [49][80/1879] lr: 1.0000e-02 eta: 1 day, 22:29:20 time: 0.4448 data_time: 0.0214 memory: 17087 grad_norm: 4.8963 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5569 loss: 1.5569 2022/08/03 20:06:39 - mmengine - INFO - Epoch(train) [49][100/1879] lr: 1.0000e-02 eta: 1 day, 22:29:11 time: 0.4253 data_time: 0.0137 memory: 17087 grad_norm: 4.8404 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4020 loss: 1.4020 2022/08/03 20:06:48 - mmengine - INFO - Epoch(train) [49][120/1879] lr: 1.0000e-02 eta: 1 day, 22:29:04 time: 0.4541 data_time: 0.0176 memory: 17087 grad_norm: 4.9162 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6806 loss: 1.6806 2022/08/03 20:06:56 - mmengine - INFO - Epoch(train) [49][140/1879] lr: 1.0000e-02 eta: 1 day, 22:28:55 time: 0.4246 data_time: 0.0138 memory: 17087 grad_norm: 4.8201 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6034 loss: 1.6034 2022/08/03 20:07:05 - mmengine - INFO - Epoch(train) [49][160/1879] lr: 1.0000e-02 eta: 1 day, 22:28:47 time: 0.4272 data_time: 0.0156 memory: 17087 grad_norm: 4.8766 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6345 loss: 1.6345 2022/08/03 20:07:14 - mmengine - INFO - Epoch(train) [49][180/1879] lr: 1.0000e-02 eta: 1 day, 22:28:41 time: 0.4617 data_time: 0.0199 memory: 17087 grad_norm: 5.0232 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5735 loss: 1.5735 2022/08/03 20:07:23 - mmengine - INFO - Epoch(train) [49][200/1879] lr: 1.0000e-02 eta: 1 day, 22:28:32 time: 0.4259 data_time: 0.0154 memory: 17087 grad_norm: 4.9885 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4759 loss: 1.4759 2022/08/03 20:07:31 - mmengine - INFO - Epoch(train) [49][220/1879] lr: 1.0000e-02 eta: 1 day, 22:28:24 time: 0.4346 data_time: 0.0222 memory: 17087 grad_norm: 4.9352 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6910 loss: 1.6910 2022/08/03 20:07:40 - mmengine - INFO - Epoch(train) [49][240/1879] lr: 1.0000e-02 eta: 1 day, 22:28:16 time: 0.4260 data_time: 0.0152 memory: 17087 grad_norm: 4.9353 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6607 loss: 1.6607 2022/08/03 20:07:49 - mmengine - INFO - Epoch(train) [49][260/1879] lr: 1.0000e-02 eta: 1 day, 22:28:08 time: 0.4398 data_time: 0.0176 memory: 17087 grad_norm: 4.9775 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7092 loss: 1.7092 2022/08/03 20:07:57 - mmengine - INFO - Epoch(train) [49][280/1879] lr: 1.0000e-02 eta: 1 day, 22:27:59 time: 0.4250 data_time: 0.0149 memory: 17087 grad_norm: 4.9496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5509 loss: 1.5509 2022/08/03 20:08:06 - mmengine - INFO - Epoch(train) [49][300/1879] lr: 1.0000e-02 eta: 1 day, 22:27:50 time: 0.4247 data_time: 0.0148 memory: 17087 grad_norm: 4.9678 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5626 loss: 1.5626 2022/08/03 20:08:15 - mmengine - INFO - Epoch(train) [49][320/1879] lr: 1.0000e-02 eta: 1 day, 22:27:43 time: 0.4476 data_time: 0.0163 memory: 17087 grad_norm: 5.0645 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6136 loss: 1.6136 2022/08/03 20:08:23 - mmengine - INFO - Epoch(train) [49][340/1879] lr: 1.0000e-02 eta: 1 day, 22:27:35 time: 0.4250 data_time: 0.0164 memory: 17087 grad_norm: 4.8223 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4739 loss: 1.4739 2022/08/03 20:08:32 - mmengine - INFO - Epoch(train) [49][360/1879] lr: 1.0000e-02 eta: 1 day, 22:27:28 time: 0.4528 data_time: 0.0160 memory: 17087 grad_norm: 5.1593 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5662 loss: 1.5662 2022/08/03 20:08:41 - mmengine - INFO - Epoch(train) [49][380/1879] lr: 1.0000e-02 eta: 1 day, 22:27:19 time: 0.4259 data_time: 0.0147 memory: 17087 grad_norm: 4.8249 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6151 loss: 1.6151 2022/08/03 20:08:50 - mmengine - INFO - Epoch(train) [49][400/1879] lr: 1.0000e-02 eta: 1 day, 22:27:12 time: 0.4430 data_time: 0.0150 memory: 17087 grad_norm: 4.8566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4267 loss: 1.4267 2022/08/03 20:08:58 - mmengine - INFO - Epoch(train) [49][420/1879] lr: 1.0000e-02 eta: 1 day, 22:27:03 time: 0.4262 data_time: 0.0155 memory: 17087 grad_norm: 4.9488 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5863 loss: 1.5863 2022/08/03 20:09:07 - mmengine - INFO - Epoch(train) [49][440/1879] lr: 1.0000e-02 eta: 1 day, 22:26:55 time: 0.4297 data_time: 0.0142 memory: 17087 grad_norm: 4.8339 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5184 loss: 1.5184 2022/08/03 20:09:16 - mmengine - INFO - Epoch(train) [49][460/1879] lr: 1.0000e-02 eta: 1 day, 22:26:48 time: 0.4439 data_time: 0.0175 memory: 17087 grad_norm: 4.8455 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5853 loss: 1.5853 2022/08/03 20:09:24 - mmengine - INFO - Epoch(train) [49][480/1879] lr: 1.0000e-02 eta: 1 day, 22:26:39 time: 0.4267 data_time: 0.0179 memory: 17087 grad_norm: 5.0583 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5529 loss: 1.5529 2022/08/03 20:09:33 - mmengine - INFO - Epoch(train) [49][500/1879] lr: 1.0000e-02 eta: 1 day, 22:26:30 time: 0.4255 data_time: 0.0156 memory: 17087 grad_norm: 4.9846 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5079 loss: 1.5079 2022/08/03 20:09:41 - mmengine - INFO - Epoch(train) [49][520/1879] lr: 1.0000e-02 eta: 1 day, 22:26:23 time: 0.4431 data_time: 0.0161 memory: 17087 grad_norm: 5.0730 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5444 loss: 1.5444 2022/08/03 20:09:50 - mmengine - INFO - Epoch(train) [49][540/1879] lr: 1.0000e-02 eta: 1 day, 22:26:14 time: 0.4263 data_time: 0.0143 memory: 17087 grad_norm: 4.9150 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5690 loss: 1.5690 2022/08/03 20:09:59 - mmengine - INFO - Epoch(train) [49][560/1879] lr: 1.0000e-02 eta: 1 day, 22:26:08 time: 0.4531 data_time: 0.0201 memory: 17087 grad_norm: 5.1177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6572 loss: 1.6572 2022/08/03 20:10:08 - mmengine - INFO - Epoch(train) [49][580/1879] lr: 1.0000e-02 eta: 1 day, 22:25:59 time: 0.4288 data_time: 0.0142 memory: 17087 grad_norm: 5.0042 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6548 loss: 1.6548 2022/08/03 20:10:16 - mmengine - INFO - Epoch(train) [49][600/1879] lr: 1.0000e-02 eta: 1 day, 22:25:50 time: 0.4223 data_time: 0.0155 memory: 17087 grad_norm: 4.9397 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.8096 loss: 1.8096 2022/08/03 20:10:25 - mmengine - INFO - Epoch(train) [49][620/1879] lr: 1.0000e-02 eta: 1 day, 22:25:41 time: 0.4277 data_time: 0.0173 memory: 17087 grad_norm: 4.9099 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5978 loss: 1.5978 2022/08/03 20:10:33 - mmengine - INFO - Epoch(train) [49][640/1879] lr: 1.0000e-02 eta: 1 day, 22:25:32 time: 0.4253 data_time: 0.0151 memory: 17087 grad_norm: 4.9365 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5817 loss: 1.5817 2022/08/03 20:10:42 - mmengine - INFO - Epoch(train) [49][660/1879] lr: 1.0000e-02 eta: 1 day, 22:25:25 time: 0.4366 data_time: 0.0153 memory: 17087 grad_norm: 4.9734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6854 loss: 1.6854 2022/08/03 20:10:50 - mmengine - INFO - Epoch(train) [49][680/1879] lr: 1.0000e-02 eta: 1 day, 22:25:16 time: 0.4253 data_time: 0.0153 memory: 17087 grad_norm: 5.1314 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5783 loss: 1.5783 2022/08/03 20:10:59 - mmengine - INFO - Epoch(train) [49][700/1879] lr: 1.0000e-02 eta: 1 day, 22:25:08 time: 0.4322 data_time: 0.0170 memory: 17087 grad_norm: 4.9913 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6750 loss: 1.6750 2022/08/03 20:11:08 - mmengine - INFO - Epoch(train) [49][720/1879] lr: 1.0000e-02 eta: 1 day, 22:24:59 time: 0.4252 data_time: 0.0164 memory: 17087 grad_norm: 4.7911 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6224 loss: 1.6224 2022/08/03 20:11:16 - mmengine - INFO - Epoch(train) [49][740/1879] lr: 1.0000e-02 eta: 1 day, 22:24:50 time: 0.4252 data_time: 0.0161 memory: 17087 grad_norm: 4.8277 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4344 loss: 1.4344 2022/08/03 20:11:25 - mmengine - INFO - Epoch(train) [49][760/1879] lr: 1.0000e-02 eta: 1 day, 22:24:42 time: 0.4335 data_time: 0.0154 memory: 17087 grad_norm: 4.8713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5311 loss: 1.5311 2022/08/03 20:11:33 - mmengine - INFO - Epoch(train) [49][780/1879] lr: 1.0000e-02 eta: 1 day, 22:24:33 time: 0.4277 data_time: 0.0150 memory: 17087 grad_norm: 4.9771 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5404 loss: 1.5404 2022/08/03 20:11:42 - mmengine - INFO - Epoch(train) [49][800/1879] lr: 1.0000e-02 eta: 1 day, 22:24:25 time: 0.4335 data_time: 0.0165 memory: 17087 grad_norm: 4.8827 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6236 loss: 1.6236 2022/08/03 20:11:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 20:11:50 - mmengine - INFO - Epoch(train) [49][820/1879] lr: 1.0000e-02 eta: 1 day, 22:24:16 time: 0.4240 data_time: 0.0136 memory: 17087 grad_norm: 4.7948 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4940 loss: 1.4940 2022/08/03 20:11:59 - mmengine - INFO - Epoch(train) [49][840/1879] lr: 1.0000e-02 eta: 1 day, 22:24:07 time: 0.4267 data_time: 0.0168 memory: 17087 grad_norm: 4.9086 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5039 loss: 1.5039 2022/08/03 20:12:08 - mmengine - INFO - Epoch(train) [49][860/1879] lr: 1.0000e-02 eta: 1 day, 22:23:58 time: 0.4241 data_time: 0.0144 memory: 17087 grad_norm: 5.0313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6934 loss: 1.6934 2022/08/03 20:12:16 - mmengine - INFO - Epoch(train) [49][880/1879] lr: 1.0000e-02 eta: 1 day, 22:23:50 time: 0.4251 data_time: 0.0158 memory: 17087 grad_norm: 5.1370 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6691 loss: 1.6691 2022/08/03 20:12:25 - mmengine - INFO - Epoch(train) [49][900/1879] lr: 1.0000e-02 eta: 1 day, 22:23:43 time: 0.4509 data_time: 0.0140 memory: 17087 grad_norm: 5.0148 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8856 loss: 1.8856 2022/08/03 20:12:34 - mmengine - INFO - Epoch(train) [49][920/1879] lr: 1.0000e-02 eta: 1 day, 22:23:34 time: 0.4257 data_time: 0.0171 memory: 17087 grad_norm: 5.0206 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5149 loss: 1.5149 2022/08/03 20:12:42 - mmengine - INFO - Epoch(train) [49][940/1879] lr: 1.0000e-02 eta: 1 day, 22:23:26 time: 0.4290 data_time: 0.0134 memory: 17087 grad_norm: 4.9879 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7813 loss: 1.7813 2022/08/03 20:12:51 - mmengine - INFO - Epoch(train) [49][960/1879] lr: 1.0000e-02 eta: 1 day, 22:23:17 time: 0.4282 data_time: 0.0175 memory: 17087 grad_norm: 5.0081 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5861 loss: 1.5861 2022/08/03 20:12:59 - mmengine - INFO - Epoch(train) [49][980/1879] lr: 1.0000e-02 eta: 1 day, 22:23:08 time: 0.4264 data_time: 0.0140 memory: 17087 grad_norm: 4.9330 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5704 loss: 1.5704 2022/08/03 20:13:08 - mmengine - INFO - Epoch(train) [49][1000/1879] lr: 1.0000e-02 eta: 1 day, 22:23:00 time: 0.4278 data_time: 0.0148 memory: 17087 grad_norm: 4.9804 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6407 loss: 1.6407 2022/08/03 20:13:16 - mmengine - INFO - Epoch(train) [49][1020/1879] lr: 1.0000e-02 eta: 1 day, 22:22:51 time: 0.4256 data_time: 0.0140 memory: 17087 grad_norm: 5.0181 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5932 loss: 1.5932 2022/08/03 20:13:25 - mmengine - INFO - Epoch(train) [49][1040/1879] lr: 1.0000e-02 eta: 1 day, 22:22:44 time: 0.4468 data_time: 0.0158 memory: 17087 grad_norm: 5.0633 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5755 loss: 1.5755 2022/08/03 20:13:34 - mmengine - INFO - Epoch(train) [49][1060/1879] lr: 1.0000e-02 eta: 1 day, 22:22:35 time: 0.4264 data_time: 0.0144 memory: 17087 grad_norm: 5.1209 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3849 loss: 1.3849 2022/08/03 20:13:42 - mmengine - INFO - Epoch(train) [49][1080/1879] lr: 1.0000e-02 eta: 1 day, 22:22:27 time: 0.4265 data_time: 0.0154 memory: 17087 grad_norm: 5.1110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5332 loss: 1.5332 2022/08/03 20:13:51 - mmengine - INFO - Epoch(train) [49][1100/1879] lr: 1.0000e-02 eta: 1 day, 22:22:18 time: 0.4281 data_time: 0.0200 memory: 17087 grad_norm: 5.0210 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5903 loss: 1.5903 2022/08/03 20:13:59 - mmengine - INFO - Epoch(train) [49][1120/1879] lr: 1.0000e-02 eta: 1 day, 22:22:09 time: 0.4266 data_time: 0.0170 memory: 17087 grad_norm: 4.8588 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4358 loss: 1.4358 2022/08/03 20:14:08 - mmengine - INFO - Epoch(train) [49][1140/1879] lr: 1.0000e-02 eta: 1 day, 22:22:00 time: 0.4257 data_time: 0.0152 memory: 17087 grad_norm: 4.9586 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4708 loss: 1.4708 2022/08/03 20:14:16 - mmengine - INFO - Epoch(train) [49][1160/1879] lr: 1.0000e-02 eta: 1 day, 22:21:52 time: 0.4257 data_time: 0.0156 memory: 17087 grad_norm: 5.0972 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5784 loss: 1.5784 2022/08/03 20:14:25 - mmengine - INFO - Epoch(train) [49][1180/1879] lr: 1.0000e-02 eta: 1 day, 22:21:43 time: 0.4259 data_time: 0.0145 memory: 17087 grad_norm: 5.0591 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6875 loss: 1.6875 2022/08/03 20:14:34 - mmengine - INFO - Epoch(train) [49][1200/1879] lr: 1.0000e-02 eta: 1 day, 22:21:34 time: 0.4276 data_time: 0.0162 memory: 17087 grad_norm: 4.9065 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6470 loss: 1.6470 2022/08/03 20:14:42 - mmengine - INFO - Epoch(train) [49][1220/1879] lr: 1.0000e-02 eta: 1 day, 22:21:25 time: 0.4237 data_time: 0.0138 memory: 17087 grad_norm: 4.9234 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7358 loss: 1.7358 2022/08/03 20:14:51 - mmengine - INFO - Epoch(train) [49][1240/1879] lr: 1.0000e-02 eta: 1 day, 22:21:17 time: 0.4291 data_time: 0.0189 memory: 17087 grad_norm: 5.0363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5817 loss: 1.5817 2022/08/03 20:14:59 - mmengine - INFO - Epoch(train) [49][1260/1879] lr: 1.0000e-02 eta: 1 day, 22:21:08 time: 0.4233 data_time: 0.0144 memory: 17087 grad_norm: 5.0679 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7801 loss: 1.7801 2022/08/03 20:15:08 - mmengine - INFO - Epoch(train) [49][1280/1879] lr: 1.0000e-02 eta: 1 day, 22:20:59 time: 0.4281 data_time: 0.0173 memory: 17087 grad_norm: 4.9044 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5095 loss: 1.5095 2022/08/03 20:15:16 - mmengine - INFO - Epoch(train) [49][1300/1879] lr: 1.0000e-02 eta: 1 day, 22:20:50 time: 0.4240 data_time: 0.0163 memory: 17087 grad_norm: 5.0051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5427 loss: 1.5427 2022/08/03 20:15:25 - mmengine - INFO - Epoch(train) [49][1320/1879] lr: 1.0000e-02 eta: 1 day, 22:20:42 time: 0.4313 data_time: 0.0150 memory: 17087 grad_norm: 5.0025 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8343 loss: 1.8343 2022/08/03 20:15:34 - mmengine - INFO - Epoch(train) [49][1340/1879] lr: 1.0000e-02 eta: 1 day, 22:20:34 time: 0.4392 data_time: 0.0153 memory: 17087 grad_norm: 4.9675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6348 loss: 1.6348 2022/08/03 20:15:42 - mmengine - INFO - Epoch(train) [49][1360/1879] lr: 1.0000e-02 eta: 1 day, 22:20:25 time: 0.4246 data_time: 0.0150 memory: 17087 grad_norm: 4.9085 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6443 loss: 1.6443 2022/08/03 20:15:51 - mmengine - INFO - Epoch(train) [49][1380/1879] lr: 1.0000e-02 eta: 1 day, 22:20:17 time: 0.4330 data_time: 0.0137 memory: 17087 grad_norm: 4.9601 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6337 loss: 1.6337 2022/08/03 20:15:59 - mmengine - INFO - Epoch(train) [49][1400/1879] lr: 1.0000e-02 eta: 1 day, 22:20:08 time: 0.4254 data_time: 0.0157 memory: 17087 grad_norm: 5.0472 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7262 loss: 1.7262 2022/08/03 20:16:08 - mmengine - INFO - Epoch(train) [49][1420/1879] lr: 1.0000e-02 eta: 1 day, 22:20:00 time: 0.4284 data_time: 0.0152 memory: 17087 grad_norm: 4.8667 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6658 loss: 1.6658 2022/08/03 20:16:16 - mmengine - INFO - Epoch(train) [49][1440/1879] lr: 1.0000e-02 eta: 1 day, 22:19:51 time: 0.4258 data_time: 0.0154 memory: 17087 grad_norm: 5.1699 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6629 loss: 1.6629 2022/08/03 20:16:25 - mmengine - INFO - Epoch(train) [49][1460/1879] lr: 1.0000e-02 eta: 1 day, 22:19:42 time: 0.4252 data_time: 0.0139 memory: 17087 grad_norm: 4.8446 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6932 loss: 1.6932 2022/08/03 20:16:34 - mmengine - INFO - Epoch(train) [49][1480/1879] lr: 1.0000e-02 eta: 1 day, 22:19:34 time: 0.4340 data_time: 0.0192 memory: 17087 grad_norm: 4.7771 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4757 loss: 1.4757 2022/08/03 20:16:42 - mmengine - INFO - Epoch(train) [49][1500/1879] lr: 1.0000e-02 eta: 1 day, 22:19:25 time: 0.4240 data_time: 0.0137 memory: 17087 grad_norm: 4.9992 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6291 loss: 1.6291 2022/08/03 20:16:51 - mmengine - INFO - Epoch(train) [49][1520/1879] lr: 1.0000e-02 eta: 1 day, 22:19:17 time: 0.4333 data_time: 0.0152 memory: 17087 grad_norm: 4.9969 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5351 loss: 1.5351 2022/08/03 20:16:59 - mmengine - INFO - Epoch(train) [49][1540/1879] lr: 1.0000e-02 eta: 1 day, 22:19:08 time: 0.4243 data_time: 0.0145 memory: 17087 grad_norm: 4.9607 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6584 loss: 1.6584 2022/08/03 20:17:08 - mmengine - INFO - Epoch(train) [49][1560/1879] lr: 1.0000e-02 eta: 1 day, 22:19:01 time: 0.4443 data_time: 0.0179 memory: 17087 grad_norm: 5.0243 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5207 loss: 1.5207 2022/08/03 20:17:17 - mmengine - INFO - Epoch(train) [49][1580/1879] lr: 1.0000e-02 eta: 1 day, 22:18:52 time: 0.4242 data_time: 0.0150 memory: 17087 grad_norm: 4.9833 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7370 loss: 1.7370 2022/08/03 20:17:25 - mmengine - INFO - Epoch(train) [49][1600/1879] lr: 1.0000e-02 eta: 1 day, 22:18:43 time: 0.4254 data_time: 0.0155 memory: 17087 grad_norm: 4.9367 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5919 loss: 1.5919 2022/08/03 20:17:34 - mmengine - INFO - Epoch(train) [49][1620/1879] lr: 1.0000e-02 eta: 1 day, 22:18:35 time: 0.4303 data_time: 0.0141 memory: 17087 grad_norm: 4.9497 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5602 loss: 1.5602 2022/08/03 20:17:42 - mmengine - INFO - Epoch(train) [49][1640/1879] lr: 1.0000e-02 eta: 1 day, 22:18:26 time: 0.4252 data_time: 0.0161 memory: 17087 grad_norm: 4.9935 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8805 loss: 1.8805 2022/08/03 20:17:51 - mmengine - INFO - Epoch(train) [49][1660/1879] lr: 1.0000e-02 eta: 1 day, 22:18:18 time: 0.4384 data_time: 0.0137 memory: 17087 grad_norm: 4.8448 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5840 loss: 1.5840 2022/08/03 20:18:00 - mmengine - INFO - Epoch(train) [49][1680/1879] lr: 1.0000e-02 eta: 1 day, 22:18:10 time: 0.4297 data_time: 0.0207 memory: 17087 grad_norm: 4.9551 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5347 loss: 1.5347 2022/08/03 20:18:08 - mmengine - INFO - Epoch(train) [49][1700/1879] lr: 1.0000e-02 eta: 1 day, 22:18:01 time: 0.4276 data_time: 0.0151 memory: 17087 grad_norm: 4.9001 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4479 loss: 1.4479 2022/08/03 20:18:17 - mmengine - INFO - Epoch(train) [49][1720/1879] lr: 1.0000e-02 eta: 1 day, 22:17:52 time: 0.4252 data_time: 0.0151 memory: 17087 grad_norm: 5.0254 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9005 loss: 1.9005 2022/08/03 20:18:25 - mmengine - INFO - Epoch(train) [49][1740/1879] lr: 1.0000e-02 eta: 1 day, 22:17:43 time: 0.4248 data_time: 0.0140 memory: 17087 grad_norm: 4.9465 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7825 loss: 1.7825 2022/08/03 20:18:34 - mmengine - INFO - Epoch(train) [49][1760/1879] lr: 1.0000e-02 eta: 1 day, 22:17:36 time: 0.4411 data_time: 0.0170 memory: 17087 grad_norm: 4.9876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4620 loss: 1.4620 2022/08/03 20:18:43 - mmengine - INFO - Epoch(train) [49][1780/1879] lr: 1.0000e-02 eta: 1 day, 22:17:28 time: 0.4300 data_time: 0.0210 memory: 17087 grad_norm: 5.0480 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6018 loss: 1.6018 2022/08/03 20:18:51 - mmengine - INFO - Epoch(train) [49][1800/1879] lr: 1.0000e-02 eta: 1 day, 22:17:19 time: 0.4290 data_time: 0.0163 memory: 17087 grad_norm: 5.0450 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5316 loss: 1.5316 2022/08/03 20:18:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 20:19:00 - mmengine - INFO - Epoch(train) [49][1820/1879] lr: 1.0000e-02 eta: 1 day, 22:17:11 time: 0.4290 data_time: 0.0154 memory: 17087 grad_norm: 4.9009 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6029 loss: 1.6029 2022/08/03 20:19:08 - mmengine - INFO - Epoch(train) [49][1840/1879] lr: 1.0000e-02 eta: 1 day, 22:17:02 time: 0.4296 data_time: 0.0161 memory: 17087 grad_norm: 4.9462 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4761 loss: 1.4761 2022/08/03 20:19:17 - mmengine - INFO - Epoch(train) [49][1860/1879] lr: 1.0000e-02 eta: 1 day, 22:16:53 time: 0.4243 data_time: 0.0150 memory: 17087 grad_norm: 4.9749 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6803 loss: 1.6803 2022/08/03 20:19:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 20:19:25 - mmengine - INFO - Epoch(train) [49][1879/1879] lr: 1.0000e-02 eta: 1 day, 22:16:53 time: 0.4119 data_time: 0.0148 memory: 17087 grad_norm: 4.9313 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5834 loss: 1.5834 2022/08/03 20:19:36 - mmengine - INFO - Epoch(train) [50][20/1879] lr: 1.0000e-02 eta: 1 day, 22:16:13 time: 0.5518 data_time: 0.1208 memory: 17087 grad_norm: 5.0086 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4566 loss: 1.4566 2022/08/03 20:19:44 - mmengine - INFO - Epoch(train) [50][40/1879] lr: 1.0000e-02 eta: 1 day, 22:16:04 time: 0.4267 data_time: 0.0156 memory: 17087 grad_norm: 4.8343 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5320 loss: 1.5320 2022/08/03 20:19:53 - mmengine - INFO - Epoch(train) [50][60/1879] lr: 1.0000e-02 eta: 1 day, 22:15:57 time: 0.4486 data_time: 0.0162 memory: 17087 grad_norm: 5.0323 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5951 loss: 1.5951 2022/08/03 20:20:02 - mmengine - INFO - Epoch(train) [50][80/1879] lr: 1.0000e-02 eta: 1 day, 22:15:48 time: 0.4263 data_time: 0.0157 memory: 17087 grad_norm: 5.0653 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5371 loss: 1.5371 2022/08/03 20:20:11 - mmengine - INFO - Epoch(train) [50][100/1879] lr: 1.0000e-02 eta: 1 day, 22:15:41 time: 0.4454 data_time: 0.0150 memory: 17087 grad_norm: 4.9823 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6097 loss: 1.6097 2022/08/03 20:20:19 - mmengine - INFO - Epoch(train) [50][120/1879] lr: 1.0000e-02 eta: 1 day, 22:15:33 time: 0.4312 data_time: 0.0200 memory: 17087 grad_norm: 4.9539 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4855 loss: 1.4855 2022/08/03 20:20:28 - mmengine - INFO - Epoch(train) [50][140/1879] lr: 1.0000e-02 eta: 1 day, 22:15:25 time: 0.4429 data_time: 0.0148 memory: 17087 grad_norm: 5.0812 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4515 loss: 1.4515 2022/08/03 20:20:37 - mmengine - INFO - Epoch(train) [50][160/1879] lr: 1.0000e-02 eta: 1 day, 22:15:17 time: 0.4246 data_time: 0.0150 memory: 17087 grad_norm: 4.7799 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5632 loss: 1.5632 2022/08/03 20:20:45 - mmengine - INFO - Epoch(train) [50][180/1879] lr: 1.0000e-02 eta: 1 day, 22:15:08 time: 0.4321 data_time: 0.0154 memory: 17087 grad_norm: 5.0336 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6701 loss: 1.6701 2022/08/03 20:20:54 - mmengine - INFO - Epoch(train) [50][200/1879] lr: 1.0000e-02 eta: 1 day, 22:15:00 time: 0.4263 data_time: 0.0158 memory: 17087 grad_norm: 4.9318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4886 loss: 1.4886 2022/08/03 20:21:02 - mmengine - INFO - Epoch(train) [50][220/1879] lr: 1.0000e-02 eta: 1 day, 22:14:51 time: 0.4269 data_time: 0.0166 memory: 17087 grad_norm: 4.9964 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5178 loss: 1.5178 2022/08/03 20:21:11 - mmengine - INFO - Epoch(train) [50][240/1879] lr: 1.0000e-02 eta: 1 day, 22:14:43 time: 0.4361 data_time: 0.0153 memory: 17087 grad_norm: 4.9713 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7770 loss: 1.7770 2022/08/03 20:21:20 - mmengine - INFO - Epoch(train) [50][260/1879] lr: 1.0000e-02 eta: 1 day, 22:14:34 time: 0.4276 data_time: 0.0154 memory: 17087 grad_norm: 4.9200 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4729 loss: 1.4729 2022/08/03 20:21:28 - mmengine - INFO - Epoch(train) [50][280/1879] lr: 1.0000e-02 eta: 1 day, 22:14:26 time: 0.4264 data_time: 0.0152 memory: 17087 grad_norm: 4.9143 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5199 loss: 1.5199 2022/08/03 20:21:37 - mmengine - INFO - Epoch(train) [50][300/1879] lr: 1.0000e-02 eta: 1 day, 22:14:17 time: 0.4240 data_time: 0.0141 memory: 17087 grad_norm: 5.0158 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4650 loss: 1.4650 2022/08/03 20:21:46 - mmengine - INFO - Epoch(train) [50][320/1879] lr: 1.0000e-02 eta: 1 day, 22:14:10 time: 0.4487 data_time: 0.0162 memory: 17087 grad_norm: 5.0499 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5895 loss: 1.5895 2022/08/03 20:21:54 - mmengine - INFO - Epoch(train) [50][340/1879] lr: 1.0000e-02 eta: 1 day, 22:14:01 time: 0.4256 data_time: 0.0136 memory: 17087 grad_norm: 5.0585 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5389 loss: 1.5389 2022/08/03 20:22:03 - mmengine - INFO - Epoch(train) [50][360/1879] lr: 1.0000e-02 eta: 1 day, 22:13:53 time: 0.4309 data_time: 0.0178 memory: 17087 grad_norm: 4.8808 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7202 loss: 1.7202 2022/08/03 20:22:12 - mmengine - INFO - Epoch(train) [50][380/1879] lr: 1.0000e-02 eta: 1 day, 22:13:46 time: 0.4450 data_time: 0.0151 memory: 17087 grad_norm: 4.8540 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6517 loss: 1.6517 2022/08/03 20:22:21 - mmengine - INFO - Epoch(train) [50][400/1879] lr: 1.0000e-02 eta: 1 day, 22:13:38 time: 0.4366 data_time: 0.0206 memory: 17087 grad_norm: 4.9792 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7266 loss: 1.7266 2022/08/03 20:22:29 - mmengine - INFO - Epoch(train) [50][420/1879] lr: 1.0000e-02 eta: 1 day, 22:13:30 time: 0.4393 data_time: 0.0150 memory: 17087 grad_norm: 5.0249 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6532 loss: 1.6532 2022/08/03 20:22:38 - mmengine - INFO - Epoch(train) [50][440/1879] lr: 1.0000e-02 eta: 1 day, 22:13:22 time: 0.4312 data_time: 0.0153 memory: 17087 grad_norm: 4.9513 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5420 loss: 1.5420 2022/08/03 20:22:47 - mmengine - INFO - Epoch(train) [50][460/1879] lr: 1.0000e-02 eta: 1 day, 22:13:14 time: 0.4331 data_time: 0.0142 memory: 17087 grad_norm: 4.9716 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5668 loss: 1.5668 2022/08/03 20:22:55 - mmengine - INFO - Epoch(train) [50][480/1879] lr: 1.0000e-02 eta: 1 day, 22:13:05 time: 0.4274 data_time: 0.0158 memory: 17087 grad_norm: 5.0385 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4984 loss: 1.4984 2022/08/03 20:23:04 - mmengine - INFO - Epoch(train) [50][500/1879] lr: 1.0000e-02 eta: 1 day, 22:12:56 time: 0.4263 data_time: 0.0140 memory: 17087 grad_norm: 4.9031 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5534 loss: 1.5534 2022/08/03 20:23:12 - mmengine - INFO - Epoch(train) [50][520/1879] lr: 1.0000e-02 eta: 1 day, 22:12:48 time: 0.4320 data_time: 0.0166 memory: 17087 grad_norm: 5.0137 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.8150 loss: 1.8150 2022/08/03 20:23:21 - mmengine - INFO - Epoch(train) [50][540/1879] lr: 1.0000e-02 eta: 1 day, 22:12:40 time: 0.4357 data_time: 0.0137 memory: 17087 grad_norm: 4.8702 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6055 loss: 1.6055 2022/08/03 20:23:30 - mmengine - INFO - Epoch(train) [50][560/1879] lr: 1.0000e-02 eta: 1 day, 22:12:31 time: 0.4281 data_time: 0.0172 memory: 17087 grad_norm: 5.0285 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5660 loss: 1.5660 2022/08/03 20:23:38 - mmengine - INFO - Epoch(train) [50][580/1879] lr: 1.0000e-02 eta: 1 day, 22:12:23 time: 0.4329 data_time: 0.0141 memory: 17087 grad_norm: 5.1182 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6998 loss: 1.6998 2022/08/03 20:23:47 - mmengine - INFO - Epoch(train) [50][600/1879] lr: 1.0000e-02 eta: 1 day, 22:12:15 time: 0.4268 data_time: 0.0161 memory: 17087 grad_norm: 5.0149 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6475 loss: 1.6475 2022/08/03 20:23:55 - mmengine - INFO - Epoch(train) [50][620/1879] lr: 1.0000e-02 eta: 1 day, 22:12:06 time: 0.4248 data_time: 0.0140 memory: 17087 grad_norm: 5.0539 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6235 loss: 1.6235 2022/08/03 20:24:05 - mmengine - INFO - Epoch(train) [50][640/1879] lr: 1.0000e-02 eta: 1 day, 22:12:00 time: 0.4570 data_time: 0.0177 memory: 17087 grad_norm: 4.9834 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6910 loss: 1.6910 2022/08/03 20:24:13 - mmengine - INFO - Epoch(train) [50][660/1879] lr: 1.0000e-02 eta: 1 day, 22:11:51 time: 0.4246 data_time: 0.0143 memory: 17087 grad_norm: 4.9831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6805 loss: 1.6805 2022/08/03 20:24:22 - mmengine - INFO - Epoch(train) [50][680/1879] lr: 1.0000e-02 eta: 1 day, 22:11:44 time: 0.4468 data_time: 0.0174 memory: 17087 grad_norm: 4.7811 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5447 loss: 1.5447 2022/08/03 20:24:31 - mmengine - INFO - Epoch(train) [50][700/1879] lr: 1.0000e-02 eta: 1 day, 22:11:35 time: 0.4265 data_time: 0.0155 memory: 17087 grad_norm: 5.1282 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5638 loss: 1.5638 2022/08/03 20:24:39 - mmengine - INFO - Epoch(train) [50][720/1879] lr: 1.0000e-02 eta: 1 day, 22:11:26 time: 0.4243 data_time: 0.0163 memory: 17087 grad_norm: 4.9420 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4778 loss: 1.4778 2022/08/03 20:24:48 - mmengine - INFO - Epoch(train) [50][740/1879] lr: 1.0000e-02 eta: 1 day, 22:11:18 time: 0.4345 data_time: 0.0142 memory: 17087 grad_norm: 5.0934 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6646 loss: 1.6646 2022/08/03 20:24:56 - mmengine - INFO - Epoch(train) [50][760/1879] lr: 1.0000e-02 eta: 1 day, 22:11:10 time: 0.4312 data_time: 0.0168 memory: 17087 grad_norm: 5.0858 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4729 loss: 1.4729 2022/08/03 20:25:05 - mmengine - INFO - Epoch(train) [50][780/1879] lr: 1.0000e-02 eta: 1 day, 22:11:01 time: 0.4273 data_time: 0.0158 memory: 17087 grad_norm: 4.8580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6679 loss: 1.6679 2022/08/03 20:25:14 - mmengine - INFO - Epoch(train) [50][800/1879] lr: 1.0000e-02 eta: 1 day, 22:10:53 time: 0.4306 data_time: 0.0178 memory: 17087 grad_norm: 4.8580 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7196 loss: 1.7196 2022/08/03 20:25:22 - mmengine - INFO - Epoch(train) [50][820/1879] lr: 1.0000e-02 eta: 1 day, 22:10:44 time: 0.4271 data_time: 0.0149 memory: 17087 grad_norm: 5.0092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7237 loss: 1.7237 2022/08/03 20:25:31 - mmengine - INFO - Epoch(train) [50][840/1879] lr: 1.0000e-02 eta: 1 day, 22:10:36 time: 0.4346 data_time: 0.0165 memory: 17087 grad_norm: 4.8582 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6451 loss: 1.6451 2022/08/03 20:25:39 - mmengine - INFO - Epoch(train) [50][860/1879] lr: 1.0000e-02 eta: 1 day, 22:10:27 time: 0.4258 data_time: 0.0150 memory: 17087 grad_norm: 4.9436 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7233 loss: 1.7233 2022/08/03 20:25:48 - mmengine - INFO - Epoch(train) [50][880/1879] lr: 1.0000e-02 eta: 1 day, 22:10:18 time: 0.4238 data_time: 0.0149 memory: 17087 grad_norm: 4.7818 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4686 loss: 1.4686 2022/08/03 20:25:56 - mmengine - INFO - Epoch(train) [50][900/1879] lr: 1.0000e-02 eta: 1 day, 22:10:09 time: 0.4241 data_time: 0.0148 memory: 17087 grad_norm: 5.0499 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6614 loss: 1.6614 2022/08/03 20:26:05 - mmengine - INFO - Epoch(train) [50][920/1879] lr: 1.0000e-02 eta: 1 day, 22:10:01 time: 0.4276 data_time: 0.0166 memory: 17087 grad_norm: 4.9832 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7877 loss: 1.7877 2022/08/03 20:26:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 20:26:13 - mmengine - INFO - Epoch(train) [50][940/1879] lr: 1.0000e-02 eta: 1 day, 22:09:52 time: 0.4251 data_time: 0.0145 memory: 17087 grad_norm: 4.8575 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6768 loss: 1.6768 2022/08/03 20:26:22 - mmengine - INFO - Epoch(train) [50][960/1879] lr: 1.0000e-02 eta: 1 day, 22:09:45 time: 0.4502 data_time: 0.0161 memory: 17087 grad_norm: 4.8864 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6483 loss: 1.6483 2022/08/03 20:26:31 - mmengine - INFO - Epoch(train) [50][980/1879] lr: 1.0000e-02 eta: 1 day, 22:09:36 time: 0.4255 data_time: 0.0151 memory: 17087 grad_norm: 4.9176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5737 loss: 1.5737 2022/08/03 20:26:40 - mmengine - INFO - Epoch(train) [50][1000/1879] lr: 1.0000e-02 eta: 1 day, 22:09:29 time: 0.4487 data_time: 0.0179 memory: 17087 grad_norm: 5.0889 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4348 loss: 1.4348 2022/08/03 20:26:48 - mmengine - INFO - Epoch(train) [50][1020/1879] lr: 1.0000e-02 eta: 1 day, 22:09:20 time: 0.4240 data_time: 0.0143 memory: 17087 grad_norm: 5.0978 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6781 loss: 1.6781 2022/08/03 20:26:57 - mmengine - INFO - Epoch(train) [50][1040/1879] lr: 1.0000e-02 eta: 1 day, 22:09:12 time: 0.4270 data_time: 0.0166 memory: 17087 grad_norm: 4.9403 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6636 loss: 1.6636 2022/08/03 20:27:05 - mmengine - INFO - Epoch(train) [50][1060/1879] lr: 1.0000e-02 eta: 1 day, 22:09:03 time: 0.4283 data_time: 0.0144 memory: 17087 grad_norm: 4.9472 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6839 loss: 1.6839 2022/08/03 20:27:14 - mmengine - INFO - Epoch(train) [50][1080/1879] lr: 1.0000e-02 eta: 1 day, 22:08:56 time: 0.4451 data_time: 0.0179 memory: 17087 grad_norm: 4.9164 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4356 loss: 1.4356 2022/08/03 20:27:23 - mmengine - INFO - Epoch(train) [50][1100/1879] lr: 1.0000e-02 eta: 1 day, 22:08:47 time: 0.4261 data_time: 0.0150 memory: 17087 grad_norm: 4.8503 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5571 loss: 1.5571 2022/08/03 20:27:32 - mmengine - INFO - Epoch(train) [50][1120/1879] lr: 1.0000e-02 eta: 1 day, 22:08:40 time: 0.4440 data_time: 0.0208 memory: 17087 grad_norm: 5.0744 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3561 loss: 1.3561 2022/08/03 20:27:40 - mmengine - INFO - Epoch(train) [50][1140/1879] lr: 1.0000e-02 eta: 1 day, 22:08:31 time: 0.4245 data_time: 0.0156 memory: 17087 grad_norm: 5.0587 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6852 loss: 1.6852 2022/08/03 20:27:49 - mmengine - INFO - Epoch(train) [50][1160/1879] lr: 1.0000e-02 eta: 1 day, 22:08:23 time: 0.4309 data_time: 0.0209 memory: 17087 grad_norm: 5.2217 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7342 loss: 1.7342 2022/08/03 20:27:57 - mmengine - INFO - Epoch(train) [50][1180/1879] lr: 1.0000e-02 eta: 1 day, 22:08:14 time: 0.4243 data_time: 0.0146 memory: 17087 grad_norm: 5.0362 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8721 loss: 1.8721 2022/08/03 20:28:06 - mmengine - INFO - Epoch(train) [50][1200/1879] lr: 1.0000e-02 eta: 1 day, 22:08:06 time: 0.4373 data_time: 0.0165 memory: 17087 grad_norm: 5.0448 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7356 loss: 1.7356 2022/08/03 20:28:15 - mmengine - INFO - Epoch(train) [50][1220/1879] lr: 1.0000e-02 eta: 1 day, 22:07:57 time: 0.4250 data_time: 0.0132 memory: 17087 grad_norm: 4.9197 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5075 loss: 1.5075 2022/08/03 20:28:23 - mmengine - INFO - Epoch(train) [50][1240/1879] lr: 1.0000e-02 eta: 1 day, 22:07:49 time: 0.4267 data_time: 0.0160 memory: 17087 grad_norm: 4.9189 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6835 loss: 1.6835 2022/08/03 20:28:32 - mmengine - INFO - Epoch(train) [50][1260/1879] lr: 1.0000e-02 eta: 1 day, 22:07:40 time: 0.4270 data_time: 0.0158 memory: 17087 grad_norm: 4.9372 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4217 loss: 1.4217 2022/08/03 20:28:40 - mmengine - INFO - Epoch(train) [50][1280/1879] lr: 1.0000e-02 eta: 1 day, 22:07:31 time: 0.4282 data_time: 0.0175 memory: 17087 grad_norm: 4.9933 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6176 loss: 1.6176 2022/08/03 20:28:49 - mmengine - INFO - Epoch(train) [50][1300/1879] lr: 1.0000e-02 eta: 1 day, 22:07:22 time: 0.4242 data_time: 0.0127 memory: 17087 grad_norm: 5.0450 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6368 loss: 1.6368 2022/08/03 20:28:57 - mmengine - INFO - Epoch(train) [50][1320/1879] lr: 1.0000e-02 eta: 1 day, 22:07:14 time: 0.4252 data_time: 0.0153 memory: 17087 grad_norm: 4.8834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5287 loss: 1.5287 2022/08/03 20:29:06 - mmengine - INFO - Epoch(train) [50][1340/1879] lr: 1.0000e-02 eta: 1 day, 22:07:05 time: 0.4287 data_time: 0.0157 memory: 17087 grad_norm: 4.9996 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5453 loss: 1.5453 2022/08/03 20:29:15 - mmengine - INFO - Epoch(train) [50][1360/1879] lr: 1.0000e-02 eta: 1 day, 22:06:57 time: 0.4368 data_time: 0.0176 memory: 17087 grad_norm: 4.8977 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6568 loss: 1.6568 2022/08/03 20:29:24 - mmengine - INFO - Epoch(train) [50][1380/1879] lr: 1.0000e-02 eta: 1 day, 22:06:50 time: 0.4478 data_time: 0.0181 memory: 17087 grad_norm: 4.9237 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7194 loss: 1.7194 2022/08/03 20:29:32 - mmengine - INFO - Epoch(train) [50][1400/1879] lr: 1.0000e-02 eta: 1 day, 22:06:41 time: 0.4261 data_time: 0.0154 memory: 17087 grad_norm: 4.8186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4762 loss: 1.4762 2022/08/03 20:29:41 - mmengine - INFO - Epoch(train) [50][1420/1879] lr: 1.0000e-02 eta: 1 day, 22:06:34 time: 0.4459 data_time: 0.0150 memory: 17087 grad_norm: 4.8243 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4597 loss: 1.4597 2022/08/03 20:29:50 - mmengine - INFO - Epoch(train) [50][1440/1879] lr: 1.0000e-02 eta: 1 day, 22:06:27 time: 0.4420 data_time: 0.0174 memory: 17087 grad_norm: 4.9283 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6239 loss: 1.6239 2022/08/03 20:29:58 - mmengine - INFO - Epoch(train) [50][1460/1879] lr: 1.0000e-02 eta: 1 day, 22:06:18 time: 0.4248 data_time: 0.0145 memory: 17087 grad_norm: 5.0030 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8757 loss: 1.8757 2022/08/03 20:30:07 - mmengine - INFO - Epoch(train) [50][1480/1879] lr: 1.0000e-02 eta: 1 day, 22:06:09 time: 0.4270 data_time: 0.0157 memory: 17087 grad_norm: 4.9910 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6899 loss: 1.6899 2022/08/03 20:30:16 - mmengine - INFO - Epoch(train) [50][1500/1879] lr: 1.0000e-02 eta: 1 day, 22:06:01 time: 0.4273 data_time: 0.0146 memory: 17087 grad_norm: 5.0214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4906 loss: 1.4906 2022/08/03 20:30:24 - mmengine - INFO - Epoch(train) [50][1520/1879] lr: 1.0000e-02 eta: 1 day, 22:05:52 time: 0.4242 data_time: 0.0156 memory: 17087 grad_norm: 4.9967 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7521 loss: 1.7521 2022/08/03 20:30:33 - mmengine - INFO - Epoch(train) [50][1540/1879] lr: 1.0000e-02 eta: 1 day, 22:05:44 time: 0.4357 data_time: 0.0154 memory: 17087 grad_norm: 4.8135 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.4285 loss: 1.4285 2022/08/03 20:30:41 - mmengine - INFO - Epoch(train) [50][1560/1879] lr: 1.0000e-02 eta: 1 day, 22:05:35 time: 0.4269 data_time: 0.0167 memory: 17087 grad_norm: 4.8987 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6974 loss: 1.6974 2022/08/03 20:30:50 - mmengine - INFO - Epoch(train) [50][1580/1879] lr: 1.0000e-02 eta: 1 day, 22:05:26 time: 0.4256 data_time: 0.0153 memory: 17087 grad_norm: 4.9727 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8366 loss: 1.8366 2022/08/03 20:30:58 - mmengine - INFO - Epoch(train) [50][1600/1879] lr: 1.0000e-02 eta: 1 day, 22:05:18 time: 0.4258 data_time: 0.0169 memory: 17087 grad_norm: 4.9714 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6773 loss: 1.6773 2022/08/03 20:31:07 - mmengine - INFO - Epoch(train) [50][1620/1879] lr: 1.0000e-02 eta: 1 day, 22:05:09 time: 0.4269 data_time: 0.0168 memory: 17087 grad_norm: 5.0590 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5930 loss: 1.5930 2022/08/03 20:31:15 - mmengine - INFO - Epoch(train) [50][1640/1879] lr: 1.0000e-02 eta: 1 day, 22:05:00 time: 0.4262 data_time: 0.0173 memory: 17087 grad_norm: 5.0188 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6417 loss: 1.6417 2022/08/03 20:31:24 - mmengine - INFO - Epoch(train) [50][1660/1879] lr: 1.0000e-02 eta: 1 day, 22:04:53 time: 0.4470 data_time: 0.0200 memory: 17087 grad_norm: 4.9374 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5436 loss: 1.5436 2022/08/03 20:31:33 - mmengine - INFO - Epoch(train) [50][1680/1879] lr: 1.0000e-02 eta: 1 day, 22:04:45 time: 0.4277 data_time: 0.0162 memory: 17087 grad_norm: 4.8925 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6680 loss: 1.6680 2022/08/03 20:31:41 - mmengine - INFO - Epoch(train) [50][1700/1879] lr: 1.0000e-02 eta: 1 day, 22:04:36 time: 0.4291 data_time: 0.0177 memory: 17087 grad_norm: 4.9699 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7066 loss: 1.7066 2022/08/03 20:31:50 - mmengine - INFO - Epoch(train) [50][1720/1879] lr: 1.0000e-02 eta: 1 day, 22:04:28 time: 0.4327 data_time: 0.0160 memory: 17087 grad_norm: 4.8741 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.5323 loss: 1.5323 2022/08/03 20:31:59 - mmengine - INFO - Epoch(train) [50][1740/1879] lr: 1.0000e-02 eta: 1 day, 22:04:19 time: 0.4264 data_time: 0.0160 memory: 17087 grad_norm: 4.8925 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7618 loss: 1.7618 2022/08/03 20:32:07 - mmengine - INFO - Epoch(train) [50][1760/1879] lr: 1.0000e-02 eta: 1 day, 22:04:10 time: 0.4268 data_time: 0.0159 memory: 17087 grad_norm: 4.9055 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5913 loss: 1.5913 2022/08/03 20:32:16 - mmengine - INFO - Epoch(train) [50][1780/1879] lr: 1.0000e-02 eta: 1 day, 22:04:02 time: 0.4256 data_time: 0.0141 memory: 17087 grad_norm: 4.8542 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5131 loss: 1.5131 2022/08/03 20:32:25 - mmengine - INFO - Epoch(train) [50][1800/1879] lr: 1.0000e-02 eta: 1 day, 22:03:54 time: 0.4460 data_time: 0.0152 memory: 17087 grad_norm: 4.8823 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4014 loss: 1.4014 2022/08/03 20:32:33 - mmengine - INFO - Epoch(train) [50][1820/1879] lr: 1.0000e-02 eta: 1 day, 22:03:46 time: 0.4254 data_time: 0.0147 memory: 17087 grad_norm: 5.0146 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5411 loss: 1.5411 2022/08/03 20:32:42 - mmengine - INFO - Epoch(train) [50][1840/1879] lr: 1.0000e-02 eta: 1 day, 22:03:38 time: 0.4364 data_time: 0.0177 memory: 17087 grad_norm: 5.1113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5345 loss: 1.5345 2022/08/03 20:32:50 - mmengine - INFO - Epoch(train) [50][1860/1879] lr: 1.0000e-02 eta: 1 day, 22:03:29 time: 0.4249 data_time: 0.0154 memory: 17087 grad_norm: 4.9659 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6102 loss: 1.6102 2022/08/03 20:32:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 20:32:58 - mmengine - INFO - Epoch(train) [50][1879/1879] lr: 1.0000e-02 eta: 1 day, 22:03:29 time: 0.4046 data_time: 0.0135 memory: 17087 grad_norm: 5.0303 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 1.4756 loss: 1.4756 2022/08/03 20:33:06 - mmengine - INFO - Epoch(val) [50][20/155] eta: 0:00:49 time: 0.3697 data_time: 0.1978 memory: 2821 2022/08/03 20:33:11 - mmengine - INFO - Epoch(val) [50][40/155] eta: 0:00:28 time: 0.2506 data_time: 0.0818 memory: 2821 2022/08/03 20:33:17 - mmengine - INFO - Epoch(val) [50][60/155] eta: 0:00:29 time: 0.3108 data_time: 0.1430 memory: 2821 2022/08/03 20:33:22 - mmengine - INFO - Epoch(val) [50][80/155] eta: 0:00:19 time: 0.2626 data_time: 0.0868 memory: 2821 2022/08/03 20:33:28 - mmengine - INFO - Epoch(val) [50][100/155] eta: 0:00:16 time: 0.2988 data_time: 0.1341 memory: 2821 2022/08/03 20:33:34 - mmengine - INFO - Epoch(val) [50][120/155] eta: 0:00:09 time: 0.2779 data_time: 0.1113 memory: 2821 2022/08/03 20:33:40 - mmengine - INFO - Epoch(val) [50][140/155] eta: 0:00:04 time: 0.3271 data_time: 0.1580 memory: 2821 2022/08/03 20:33:45 - mmengine - INFO - Epoch(val) [50][155/155] acc/top1: 0.6550 acc/top5: 0.8625 acc/mean1: 0.6548 2022/08/03 20:33:45 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_46.pth is removed 2022/08/03 20:33:49 - mmengine - INFO - The best checkpoint with 0.6550 acc/top1 at 51 epoch is saved to best_acc/top1_epoch_51.pth. 2022/08/03 20:33:59 - mmengine - INFO - Epoch(train) [51][20/1879] lr: 1.0000e-02 eta: 1 day, 22:02:46 time: 0.5231 data_time: 0.1090 memory: 17087 grad_norm: 4.7353 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6108 loss: 1.6108 2022/08/03 20:34:08 - mmengine - INFO - Epoch(train) [51][40/1879] lr: 1.0000e-02 eta: 1 day, 22:02:38 time: 0.4276 data_time: 0.0173 memory: 17087 grad_norm: 4.9499 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6082 loss: 1.6082 2022/08/03 20:34:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 20:34:16 - mmengine - INFO - Epoch(train) [51][60/1879] lr: 1.0000e-02 eta: 1 day, 22:02:30 time: 0.4324 data_time: 0.0154 memory: 17087 grad_norm: 5.0199 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5216 loss: 1.5216 2022/08/03 20:34:25 - mmengine - INFO - Epoch(train) [51][80/1879] lr: 1.0000e-02 eta: 1 day, 22:02:21 time: 0.4254 data_time: 0.0150 memory: 17087 grad_norm: 4.9987 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6109 loss: 1.6109 2022/08/03 20:34:33 - mmengine - INFO - Epoch(train) [51][100/1879] lr: 1.0000e-02 eta: 1 day, 22:02:12 time: 0.4305 data_time: 0.0141 memory: 17087 grad_norm: 5.1389 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5040 loss: 1.5040 2022/08/03 20:34:42 - mmengine - INFO - Epoch(train) [51][120/1879] lr: 1.0000e-02 eta: 1 day, 22:02:04 time: 0.4270 data_time: 0.0151 memory: 17087 grad_norm: 5.0601 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5975 loss: 1.5975 2022/08/03 20:34:51 - mmengine - INFO - Epoch(train) [51][140/1879] lr: 1.0000e-02 eta: 1 day, 22:01:56 time: 0.4351 data_time: 0.0203 memory: 17087 grad_norm: 4.9411 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4839 loss: 1.4839 2022/08/03 20:34:59 - mmengine - INFO - Epoch(train) [51][160/1879] lr: 1.0000e-02 eta: 1 day, 22:01:47 time: 0.4252 data_time: 0.0150 memory: 17087 grad_norm: 5.0495 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7757 loss: 1.7757 2022/08/03 20:35:08 - mmengine - INFO - Epoch(train) [51][180/1879] lr: 1.0000e-02 eta: 1 day, 22:01:38 time: 0.4241 data_time: 0.0138 memory: 17087 grad_norm: 5.0378 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5648 loss: 1.5648 2022/08/03 20:35:16 - mmengine - INFO - Epoch(train) [51][200/1879] lr: 1.0000e-02 eta: 1 day, 22:01:29 time: 0.4263 data_time: 0.0158 memory: 17087 grad_norm: 4.9249 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7216 loss: 1.7216 2022/08/03 20:35:25 - mmengine - INFO - Epoch(train) [51][220/1879] lr: 1.0000e-02 eta: 1 day, 22:01:20 time: 0.4240 data_time: 0.0145 memory: 17087 grad_norm: 4.8933 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6744 loss: 1.6744 2022/08/03 20:35:33 - mmengine - INFO - Epoch(train) [51][240/1879] lr: 1.0000e-02 eta: 1 day, 22:01:12 time: 0.4274 data_time: 0.0163 memory: 17087 grad_norm: 5.0040 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6759 loss: 1.6759 2022/08/03 20:35:42 - mmengine - INFO - Epoch(train) [51][260/1879] lr: 1.0000e-02 eta: 1 day, 22:01:04 time: 0.4432 data_time: 0.0135 memory: 17087 grad_norm: 5.0340 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5333 loss: 1.5333 2022/08/03 20:35:51 - mmengine - INFO - Epoch(train) [51][280/1879] lr: 1.0000e-02 eta: 1 day, 22:00:55 time: 0.4240 data_time: 0.0160 memory: 17087 grad_norm: 4.9496 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6057 loss: 1.6057 2022/08/03 20:35:59 - mmengine - INFO - Epoch(train) [51][300/1879] lr: 1.0000e-02 eta: 1 day, 22:00:47 time: 0.4239 data_time: 0.0137 memory: 17087 grad_norm: 4.8680 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5286 loss: 1.5286 2022/08/03 20:36:08 - mmengine - INFO - Epoch(train) [51][320/1879] lr: 1.0000e-02 eta: 1 day, 22:00:38 time: 0.4277 data_time: 0.0169 memory: 17087 grad_norm: 5.0264 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5084 loss: 1.5084 2022/08/03 20:36:16 - mmengine - INFO - Epoch(train) [51][340/1879] lr: 1.0000e-02 eta: 1 day, 22:00:29 time: 0.4237 data_time: 0.0135 memory: 17087 grad_norm: 5.1276 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5452 loss: 1.5452 2022/08/03 20:36:25 - mmengine - INFO - Epoch(train) [51][360/1879] lr: 1.0000e-02 eta: 1 day, 22:00:21 time: 0.4294 data_time: 0.0172 memory: 17087 grad_norm: 5.0225 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5393 loss: 1.5393 2022/08/03 20:36:33 - mmengine - INFO - Epoch(train) [51][380/1879] lr: 1.0000e-02 eta: 1 day, 22:00:12 time: 0.4264 data_time: 0.0143 memory: 17087 grad_norm: 5.0458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4795 loss: 1.4795 2022/08/03 20:36:42 - mmengine - INFO - Epoch(train) [51][400/1879] lr: 1.0000e-02 eta: 1 day, 22:00:04 time: 0.4390 data_time: 0.0174 memory: 17087 grad_norm: 4.8225 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5865 loss: 1.5865 2022/08/03 20:36:51 - mmengine - INFO - Epoch(train) [51][420/1879] lr: 1.0000e-02 eta: 1 day, 21:59:57 time: 0.4404 data_time: 0.0148 memory: 17087 grad_norm: 5.0943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6373 loss: 1.6373 2022/08/03 20:36:59 - mmengine - INFO - Epoch(train) [51][440/1879] lr: 1.0000e-02 eta: 1 day, 21:59:48 time: 0.4276 data_time: 0.0162 memory: 17087 grad_norm: 4.8928 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5817 loss: 1.5817 2022/08/03 20:37:08 - mmengine - INFO - Epoch(train) [51][460/1879] lr: 1.0000e-02 eta: 1 day, 21:59:39 time: 0.4258 data_time: 0.0149 memory: 17087 grad_norm: 5.0486 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5334 loss: 1.5334 2022/08/03 20:37:16 - mmengine - INFO - Epoch(train) [51][480/1879] lr: 1.0000e-02 eta: 1 day, 21:59:30 time: 0.4268 data_time: 0.0162 memory: 17087 grad_norm: 5.0329 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4305 loss: 1.4305 2022/08/03 20:37:25 - mmengine - INFO - Epoch(train) [51][500/1879] lr: 1.0000e-02 eta: 1 day, 21:59:22 time: 0.4295 data_time: 0.0155 memory: 17087 grad_norm: 5.1088 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6545 loss: 1.6545 2022/08/03 20:37:34 - mmengine - INFO - Epoch(train) [51][520/1879] lr: 1.0000e-02 eta: 1 day, 21:59:14 time: 0.4296 data_time: 0.0211 memory: 17087 grad_norm: 4.9401 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5771 loss: 1.5771 2022/08/03 20:37:42 - mmengine - INFO - Epoch(train) [51][540/1879] lr: 1.0000e-02 eta: 1 day, 21:59:05 time: 0.4273 data_time: 0.0154 memory: 17087 grad_norm: 5.1140 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6624 loss: 1.6624 2022/08/03 20:37:51 - mmengine - INFO - Epoch(train) [51][560/1879] lr: 1.0000e-02 eta: 1 day, 21:58:56 time: 0.4280 data_time: 0.0160 memory: 17087 grad_norm: 5.0534 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7885 loss: 1.7885 2022/08/03 20:37:59 - mmengine - INFO - Epoch(train) [51][580/1879] lr: 1.0000e-02 eta: 1 day, 21:58:48 time: 0.4280 data_time: 0.0139 memory: 17087 grad_norm: 4.9726 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6235 loss: 1.6235 2022/08/03 20:38:08 - mmengine - INFO - Epoch(train) [51][600/1879] lr: 1.0000e-02 eta: 1 day, 21:58:39 time: 0.4271 data_time: 0.0160 memory: 17087 grad_norm: 4.8820 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7696 loss: 1.7696 2022/08/03 20:38:16 - mmengine - INFO - Epoch(train) [51][620/1879] lr: 1.0000e-02 eta: 1 day, 21:58:30 time: 0.4224 data_time: 0.0126 memory: 17087 grad_norm: 4.9420 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4955 loss: 1.4955 2022/08/03 20:38:25 - mmengine - INFO - Epoch(train) [51][640/1879] lr: 1.0000e-02 eta: 1 day, 21:58:23 time: 0.4477 data_time: 0.0166 memory: 17087 grad_norm: 5.0057 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7068 loss: 1.7068 2022/08/03 20:38:34 - mmengine - INFO - Epoch(train) [51][660/1879] lr: 1.0000e-02 eta: 1 day, 21:58:15 time: 0.4307 data_time: 0.0201 memory: 17087 grad_norm: 4.9318 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6748 loss: 1.6748 2022/08/03 20:38:42 - mmengine - INFO - Epoch(train) [51][680/1879] lr: 1.0000e-02 eta: 1 day, 21:58:06 time: 0.4299 data_time: 0.0166 memory: 17087 grad_norm: 5.0392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5195 loss: 1.5195 2022/08/03 20:38:51 - mmengine - INFO - Epoch(train) [51][700/1879] lr: 1.0000e-02 eta: 1 day, 21:57:57 time: 0.4241 data_time: 0.0143 memory: 17087 grad_norm: 5.0194 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4946 loss: 1.4946 2022/08/03 20:39:00 - mmengine - INFO - Epoch(train) [51][720/1879] lr: 1.0000e-02 eta: 1 day, 21:57:49 time: 0.4273 data_time: 0.0170 memory: 17087 grad_norm: 4.9697 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5846 loss: 1.5846 2022/08/03 20:39:08 - mmengine - INFO - Epoch(train) [51][740/1879] lr: 1.0000e-02 eta: 1 day, 21:57:40 time: 0.4250 data_time: 0.0127 memory: 17087 grad_norm: 4.9425 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5985 loss: 1.5985 2022/08/03 20:39:17 - mmengine - INFO - Epoch(train) [51][760/1879] lr: 1.0000e-02 eta: 1 day, 21:57:31 time: 0.4281 data_time: 0.0161 memory: 17087 grad_norm: 4.9443 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8598 loss: 1.8598 2022/08/03 20:39:25 - mmengine - INFO - Epoch(train) [51][780/1879] lr: 1.0000e-02 eta: 1 day, 21:57:22 time: 0.4242 data_time: 0.0137 memory: 17087 grad_norm: 5.0220 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4829 loss: 1.4829 2022/08/03 20:39:34 - mmengine - INFO - Epoch(train) [51][800/1879] lr: 1.0000e-02 eta: 1 day, 21:57:14 time: 0.4279 data_time: 0.0156 memory: 17087 grad_norm: 4.9712 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5407 loss: 1.5407 2022/08/03 20:39:42 - mmengine - INFO - Epoch(train) [51][820/1879] lr: 1.0000e-02 eta: 1 day, 21:57:05 time: 0.4261 data_time: 0.0140 memory: 17087 grad_norm: 4.9135 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5591 loss: 1.5591 2022/08/03 20:39:51 - mmengine - INFO - Epoch(train) [51][840/1879] lr: 1.0000e-02 eta: 1 day, 21:56:58 time: 0.4511 data_time: 0.0194 memory: 17087 grad_norm: 4.8354 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6186 loss: 1.6186 2022/08/03 20:40:00 - mmengine - INFO - Epoch(train) [51][860/1879] lr: 1.0000e-02 eta: 1 day, 21:56:49 time: 0.4234 data_time: 0.0138 memory: 17087 grad_norm: 5.0616 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7702 loss: 1.7702 2022/08/03 20:40:08 - mmengine - INFO - Epoch(train) [51][880/1879] lr: 1.0000e-02 eta: 1 day, 21:56:41 time: 0.4251 data_time: 0.0156 memory: 17087 grad_norm: 5.0447 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7228 loss: 1.7228 2022/08/03 20:40:17 - mmengine - INFO - Epoch(train) [51][900/1879] lr: 1.0000e-02 eta: 1 day, 21:56:33 time: 0.4447 data_time: 0.0141 memory: 17087 grad_norm: 4.9652 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6753 loss: 1.6753 2022/08/03 20:40:26 - mmengine - INFO - Epoch(train) [51][920/1879] lr: 1.0000e-02 eta: 1 day, 21:56:25 time: 0.4275 data_time: 0.0200 memory: 17087 grad_norm: 4.8863 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5376 loss: 1.5376 2022/08/03 20:40:34 - mmengine - INFO - Epoch(train) [51][940/1879] lr: 1.0000e-02 eta: 1 day, 21:56:16 time: 0.4287 data_time: 0.0142 memory: 17087 grad_norm: 4.8365 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5837 loss: 1.5837 2022/08/03 20:40:43 - mmengine - INFO - Epoch(train) [51][960/1879] lr: 1.0000e-02 eta: 1 day, 21:56:07 time: 0.4270 data_time: 0.0174 memory: 17087 grad_norm: 5.0345 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5532 loss: 1.5532 2022/08/03 20:40:52 - mmengine - INFO - Epoch(train) [51][980/1879] lr: 1.0000e-02 eta: 1 day, 21:56:00 time: 0.4445 data_time: 0.0146 memory: 17087 grad_norm: 5.0441 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4939 loss: 1.4939 2022/08/03 20:41:00 - mmengine - INFO - Epoch(train) [51][1000/1879] lr: 1.0000e-02 eta: 1 day, 21:55:51 time: 0.4264 data_time: 0.0160 memory: 17087 grad_norm: 4.9221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4399 loss: 1.4399 2022/08/03 20:41:09 - mmengine - INFO - Epoch(train) [51][1020/1879] lr: 1.0000e-02 eta: 1 day, 21:55:43 time: 0.4246 data_time: 0.0136 memory: 17087 grad_norm: 4.9414 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5567 loss: 1.5567 2022/08/03 20:41:17 - mmengine - INFO - Epoch(train) [51][1040/1879] lr: 1.0000e-02 eta: 1 day, 21:55:34 time: 0.4270 data_time: 0.0156 memory: 17087 grad_norm: 4.9932 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6583 loss: 1.6583 2022/08/03 20:41:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 20:41:26 - mmengine - INFO - Epoch(train) [51][1060/1879] lr: 1.0000e-02 eta: 1 day, 21:55:26 time: 0.4393 data_time: 0.0146 memory: 17087 grad_norm: 4.9771 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6015 loss: 1.6015 2022/08/03 20:41:35 - mmengine - INFO - Epoch(train) [51][1080/1879] lr: 1.0000e-02 eta: 1 day, 21:55:18 time: 0.4256 data_time: 0.0162 memory: 17087 grad_norm: 5.1355 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4731 loss: 1.4731 2022/08/03 20:41:43 - mmengine - INFO - Epoch(train) [51][1100/1879] lr: 1.0000e-02 eta: 1 day, 21:55:10 time: 0.4427 data_time: 0.0145 memory: 17087 grad_norm: 4.9270 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4654 loss: 1.4654 2022/08/03 20:41:52 - mmengine - INFO - Epoch(train) [51][1120/1879] lr: 1.0000e-02 eta: 1 day, 21:55:01 time: 0.4260 data_time: 0.0156 memory: 17087 grad_norm: 4.9644 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5125 loss: 1.5125 2022/08/03 20:42:01 - mmengine - INFO - Epoch(train) [51][1140/1879] lr: 1.0000e-02 eta: 1 day, 21:54:54 time: 0.4397 data_time: 0.0165 memory: 17087 grad_norm: 4.8109 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5061 loss: 1.5061 2022/08/03 20:42:09 - mmengine - INFO - Epoch(train) [51][1160/1879] lr: 1.0000e-02 eta: 1 day, 21:54:45 time: 0.4257 data_time: 0.0158 memory: 17087 grad_norm: 5.0414 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6239 loss: 1.6239 2022/08/03 20:42:18 - mmengine - INFO - Epoch(train) [51][1180/1879] lr: 1.0000e-02 eta: 1 day, 21:54:36 time: 0.4298 data_time: 0.0195 memory: 17087 grad_norm: 4.8466 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5590 loss: 1.5590 2022/08/03 20:42:27 - mmengine - INFO - Epoch(train) [51][1200/1879] lr: 1.0000e-02 eta: 1 day, 21:54:29 time: 0.4418 data_time: 0.0163 memory: 17087 grad_norm: 5.1959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4989 loss: 1.4989 2022/08/03 20:42:35 - mmengine - INFO - Epoch(train) [51][1220/1879] lr: 1.0000e-02 eta: 1 day, 21:54:20 time: 0.4236 data_time: 0.0124 memory: 17087 grad_norm: 4.9247 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5706 loss: 1.5706 2022/08/03 20:42:44 - mmengine - INFO - Epoch(train) [51][1240/1879] lr: 1.0000e-02 eta: 1 day, 21:54:12 time: 0.4304 data_time: 0.0161 memory: 17087 grad_norm: 4.9231 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5255 loss: 1.5255 2022/08/03 20:42:52 - mmengine - INFO - Epoch(train) [51][1260/1879] lr: 1.0000e-02 eta: 1 day, 21:54:03 time: 0.4255 data_time: 0.0136 memory: 17087 grad_norm: 5.1506 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7748 loss: 1.7748 2022/08/03 20:43:01 - mmengine - INFO - Epoch(train) [51][1280/1879] lr: 1.0000e-02 eta: 1 day, 21:53:55 time: 0.4321 data_time: 0.0167 memory: 17087 grad_norm: 5.1066 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6055 loss: 1.6055 2022/08/03 20:43:09 - mmengine - INFO - Epoch(train) [51][1300/1879] lr: 1.0000e-02 eta: 1 day, 21:53:46 time: 0.4235 data_time: 0.0136 memory: 17087 grad_norm: 4.9493 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6518 loss: 1.6518 2022/08/03 20:43:18 - mmengine - INFO - Epoch(train) [51][1320/1879] lr: 1.0000e-02 eta: 1 day, 21:53:37 time: 0.4245 data_time: 0.0154 memory: 17087 grad_norm: 4.9138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6199 loss: 1.6199 2022/08/03 20:43:27 - mmengine - INFO - Epoch(train) [51][1340/1879] lr: 1.0000e-02 eta: 1 day, 21:53:28 time: 0.4272 data_time: 0.0167 memory: 17087 grad_norm: 5.0778 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5655 loss: 1.5655 2022/08/03 20:43:35 - mmengine - INFO - Epoch(train) [51][1360/1879] lr: 1.0000e-02 eta: 1 day, 21:53:20 time: 0.4280 data_time: 0.0165 memory: 17087 grad_norm: 5.1159 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5275 loss: 1.5275 2022/08/03 20:43:44 - mmengine - INFO - Epoch(train) [51][1380/1879] lr: 1.0000e-02 eta: 1 day, 21:53:12 time: 0.4368 data_time: 0.0146 memory: 17087 grad_norm: 4.9733 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3164 loss: 1.3164 2022/08/03 20:43:52 - mmengine - INFO - Epoch(train) [51][1400/1879] lr: 1.0000e-02 eta: 1 day, 21:53:03 time: 0.4307 data_time: 0.0157 memory: 17087 grad_norm: 5.0668 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7253 loss: 1.7253 2022/08/03 20:44:01 - mmengine - INFO - Epoch(train) [51][1420/1879] lr: 1.0000e-02 eta: 1 day, 21:52:56 time: 0.4443 data_time: 0.0136 memory: 17087 grad_norm: 4.8044 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5360 loss: 1.5360 2022/08/03 20:44:10 - mmengine - INFO - Epoch(train) [51][1440/1879] lr: 1.0000e-02 eta: 1 day, 21:52:47 time: 0.4267 data_time: 0.0160 memory: 17087 grad_norm: 4.9545 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5592 loss: 1.5592 2022/08/03 20:44:18 - mmengine - INFO - Epoch(train) [51][1460/1879] lr: 1.0000e-02 eta: 1 day, 21:52:39 time: 0.4258 data_time: 0.0168 memory: 17087 grad_norm: 5.1434 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5057 loss: 1.5057 2022/08/03 20:44:27 - mmengine - INFO - Epoch(train) [51][1480/1879] lr: 1.0000e-02 eta: 1 day, 21:52:32 time: 0.4493 data_time: 0.0167 memory: 17087 grad_norm: 4.9374 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.8210 loss: 1.8210 2022/08/03 20:44:36 - mmengine - INFO - Epoch(train) [51][1500/1879] lr: 1.0000e-02 eta: 1 day, 21:52:23 time: 0.4308 data_time: 0.0203 memory: 17087 grad_norm: 4.8758 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5543 loss: 1.5543 2022/08/03 20:44:45 - mmengine - INFO - Epoch(train) [51][1520/1879] lr: 1.0000e-02 eta: 1 day, 21:52:15 time: 0.4354 data_time: 0.0171 memory: 17087 grad_norm: 5.0697 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7937 loss: 1.7937 2022/08/03 20:44:53 - mmengine - INFO - Epoch(train) [51][1540/1879] lr: 1.0000e-02 eta: 1 day, 21:52:07 time: 0.4270 data_time: 0.0150 memory: 17087 grad_norm: 5.0082 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5368 loss: 1.5368 2022/08/03 20:45:02 - mmengine - INFO - Epoch(train) [51][1560/1879] lr: 1.0000e-02 eta: 1 day, 21:51:58 time: 0.4252 data_time: 0.0165 memory: 17087 grad_norm: 4.9644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5824 loss: 1.5824 2022/08/03 20:45:10 - mmengine - INFO - Epoch(train) [51][1580/1879] lr: 1.0000e-02 eta: 1 day, 21:51:49 time: 0.4253 data_time: 0.0137 memory: 17087 grad_norm: 5.0078 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6077 loss: 1.6077 2022/08/03 20:45:19 - mmengine - INFO - Epoch(train) [51][1600/1879] lr: 1.0000e-02 eta: 1 day, 21:51:40 time: 0.4260 data_time: 0.0154 memory: 17087 grad_norm: 4.8004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7101 loss: 1.7101 2022/08/03 20:45:27 - mmengine - INFO - Epoch(train) [51][1620/1879] lr: 1.0000e-02 eta: 1 day, 21:51:31 time: 0.4252 data_time: 0.0139 memory: 17087 grad_norm: 4.9274 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6574 loss: 1.6574 2022/08/03 20:45:36 - mmengine - INFO - Epoch(train) [51][1640/1879] lr: 1.0000e-02 eta: 1 day, 21:51:23 time: 0.4266 data_time: 0.0172 memory: 17087 grad_norm: 5.0799 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6181 loss: 1.6181 2022/08/03 20:45:44 - mmengine - INFO - Epoch(train) [51][1660/1879] lr: 1.0000e-02 eta: 1 day, 21:51:14 time: 0.4247 data_time: 0.0144 memory: 17087 grad_norm: 4.9656 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.6039 loss: 1.6039 2022/08/03 20:45:53 - mmengine - INFO - Epoch(train) [51][1680/1879] lr: 1.0000e-02 eta: 1 day, 21:51:05 time: 0.4264 data_time: 0.0162 memory: 17087 grad_norm: 4.9026 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6826 loss: 1.6826 2022/08/03 20:46:01 - mmengine - INFO - Epoch(train) [51][1700/1879] lr: 1.0000e-02 eta: 1 day, 21:50:56 time: 0.4250 data_time: 0.0140 memory: 17087 grad_norm: 4.8709 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8853 loss: 1.8853 2022/08/03 20:46:10 - mmengine - INFO - Epoch(train) [51][1720/1879] lr: 1.0000e-02 eta: 1 day, 21:50:48 time: 0.4253 data_time: 0.0156 memory: 17087 grad_norm: 4.9564 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7391 loss: 1.7391 2022/08/03 20:46:18 - mmengine - INFO - Epoch(train) [51][1740/1879] lr: 1.0000e-02 eta: 1 day, 21:50:39 time: 0.4267 data_time: 0.0146 memory: 17087 grad_norm: 4.9877 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6306 loss: 1.6306 2022/08/03 20:46:27 - mmengine - INFO - Epoch(train) [51][1760/1879] lr: 1.0000e-02 eta: 1 day, 21:50:30 time: 0.4267 data_time: 0.0163 memory: 17087 grad_norm: 4.9993 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6411 loss: 1.6411 2022/08/03 20:46:36 - mmengine - INFO - Epoch(train) [51][1780/1879] lr: 1.0000e-02 eta: 1 day, 21:50:21 time: 0.4257 data_time: 0.0150 memory: 17087 grad_norm: 4.8947 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5605 loss: 1.5605 2022/08/03 20:46:44 - mmengine - INFO - Epoch(train) [51][1800/1879] lr: 1.0000e-02 eta: 1 day, 21:50:13 time: 0.4281 data_time: 0.0163 memory: 17087 grad_norm: 5.0091 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6651 loss: 1.6651 2022/08/03 20:46:53 - mmengine - INFO - Epoch(train) [51][1820/1879] lr: 1.0000e-02 eta: 1 day, 21:50:04 time: 0.4264 data_time: 0.0142 memory: 17087 grad_norm: 4.8395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5337 loss: 1.5337 2022/08/03 20:47:01 - mmengine - INFO - Epoch(train) [51][1840/1879] lr: 1.0000e-02 eta: 1 day, 21:49:55 time: 0.4280 data_time: 0.0168 memory: 17087 grad_norm: 4.8719 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5514 loss: 1.5514 2022/08/03 20:47:10 - mmengine - INFO - Epoch(train) [51][1860/1879] lr: 1.0000e-02 eta: 1 day, 21:49:47 time: 0.4257 data_time: 0.0140 memory: 17087 grad_norm: 5.0428 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5499 loss: 1.5499 2022/08/03 20:47:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 20:47:18 - mmengine - INFO - Epoch(train) [51][1879/1879] lr: 1.0000e-02 eta: 1 day, 21:49:47 time: 0.4120 data_time: 0.0150 memory: 17087 grad_norm: 5.2072 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5708 loss: 1.5708 2022/08/03 20:47:29 - mmengine - INFO - Epoch(train) [52][20/1879] lr: 1.0000e-02 eta: 1 day, 21:49:08 time: 0.5577 data_time: 0.1350 memory: 17087 grad_norm: 4.9045 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5614 loss: 1.5614 2022/08/03 20:47:37 - mmengine - INFO - Epoch(train) [52][40/1879] lr: 1.0000e-02 eta: 1 day, 21:48:59 time: 0.4315 data_time: 0.0173 memory: 17087 grad_norm: 4.9650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6470 loss: 1.6470 2022/08/03 20:47:46 - mmengine - INFO - Epoch(train) [52][60/1879] lr: 1.0000e-02 eta: 1 day, 21:48:51 time: 0.4249 data_time: 0.0142 memory: 17087 grad_norm: 5.0627 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7164 loss: 1.7164 2022/08/03 20:47:55 - mmengine - INFO - Epoch(train) [52][80/1879] lr: 1.0000e-02 eta: 1 day, 21:48:43 time: 0.4361 data_time: 0.0190 memory: 17087 grad_norm: 5.0399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5882 loss: 1.5882 2022/08/03 20:48:03 - mmengine - INFO - Epoch(train) [52][100/1879] lr: 1.0000e-02 eta: 1 day, 21:48:34 time: 0.4248 data_time: 0.0132 memory: 17087 grad_norm: 4.9418 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6122 loss: 1.6122 2022/08/03 20:48:12 - mmengine - INFO - Epoch(train) [52][120/1879] lr: 1.0000e-02 eta: 1 day, 21:48:25 time: 0.4270 data_time: 0.0172 memory: 17087 grad_norm: 4.8293 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6663 loss: 1.6663 2022/08/03 20:48:20 - mmengine - INFO - Epoch(train) [52][140/1879] lr: 1.0000e-02 eta: 1 day, 21:48:17 time: 0.4276 data_time: 0.0139 memory: 17087 grad_norm: 4.9513 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5919 loss: 1.5919 2022/08/03 20:48:29 - mmengine - INFO - Epoch(train) [52][160/1879] lr: 1.0000e-02 eta: 1 day, 21:48:08 time: 0.4326 data_time: 0.0159 memory: 17087 grad_norm: 5.0146 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6033 loss: 1.6033 2022/08/03 20:48:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 20:48:37 - mmengine - INFO - Epoch(train) [52][180/1879] lr: 1.0000e-02 eta: 1 day, 21:47:59 time: 0.4235 data_time: 0.0127 memory: 17087 grad_norm: 4.9252 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7499 loss: 1.7499 2022/08/03 20:48:46 - mmengine - INFO - Epoch(train) [52][200/1879] lr: 1.0000e-02 eta: 1 day, 21:47:51 time: 0.4290 data_time: 0.0170 memory: 17087 grad_norm: 4.8914 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6616 loss: 1.6616 2022/08/03 20:48:55 - mmengine - INFO - Epoch(train) [52][220/1879] lr: 1.0000e-02 eta: 1 day, 21:47:42 time: 0.4260 data_time: 0.0147 memory: 17087 grad_norm: 5.0225 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5066 loss: 1.5066 2022/08/03 20:49:03 - mmengine - INFO - Epoch(train) [52][240/1879] lr: 1.0000e-02 eta: 1 day, 21:47:33 time: 0.4267 data_time: 0.0170 memory: 17087 grad_norm: 5.0131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6917 loss: 1.6917 2022/08/03 20:49:12 - mmengine - INFO - Epoch(train) [52][260/1879] lr: 1.0000e-02 eta: 1 day, 21:47:25 time: 0.4246 data_time: 0.0159 memory: 17087 grad_norm: 5.0898 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5002 loss: 1.5002 2022/08/03 20:49:20 - mmengine - INFO - Epoch(train) [52][280/1879] lr: 1.0000e-02 eta: 1 day, 21:47:16 time: 0.4262 data_time: 0.0149 memory: 17087 grad_norm: 4.9206 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5208 loss: 1.5208 2022/08/03 20:49:29 - mmengine - INFO - Epoch(train) [52][300/1879] lr: 1.0000e-02 eta: 1 day, 21:47:07 time: 0.4311 data_time: 0.0162 memory: 17087 grad_norm: 4.9267 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5012 loss: 1.5012 2022/08/03 20:49:37 - mmengine - INFO - Epoch(train) [52][320/1879] lr: 1.0000e-02 eta: 1 day, 21:46:59 time: 0.4258 data_time: 0.0159 memory: 17087 grad_norm: 5.0530 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5322 loss: 1.5322 2022/08/03 20:49:47 - mmengine - INFO - Epoch(train) [52][340/1879] lr: 1.0000e-02 eta: 1 day, 21:46:53 time: 0.4650 data_time: 0.0167 memory: 17087 grad_norm: 4.9477 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3391 loss: 1.3391 2022/08/03 20:49:55 - mmengine - INFO - Epoch(train) [52][360/1879] lr: 1.0000e-02 eta: 1 day, 21:46:44 time: 0.4266 data_time: 0.0170 memory: 17087 grad_norm: 5.1335 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5144 loss: 1.5144 2022/08/03 20:50:04 - mmengine - INFO - Epoch(train) [52][380/1879] lr: 1.0000e-02 eta: 1 day, 21:46:36 time: 0.4247 data_time: 0.0156 memory: 17087 grad_norm: 4.9111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6979 loss: 1.6979 2022/08/03 20:50:12 - mmengine - INFO - Epoch(train) [52][400/1879] lr: 1.0000e-02 eta: 1 day, 21:46:27 time: 0.4258 data_time: 0.0157 memory: 17087 grad_norm: 4.9169 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3275 loss: 1.3275 2022/08/03 20:50:21 - mmengine - INFO - Epoch(train) [52][420/1879] lr: 1.0000e-02 eta: 1 day, 21:46:18 time: 0.4262 data_time: 0.0141 memory: 17087 grad_norm: 4.8927 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5745 loss: 1.5745 2022/08/03 20:50:29 - mmengine - INFO - Epoch(train) [52][440/1879] lr: 1.0000e-02 eta: 1 day, 21:46:09 time: 0.4273 data_time: 0.0160 memory: 17087 grad_norm: 4.8995 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5273 loss: 1.5273 2022/08/03 20:50:38 - mmengine - INFO - Epoch(train) [52][460/1879] lr: 1.0000e-02 eta: 1 day, 21:46:01 time: 0.4289 data_time: 0.0149 memory: 17087 grad_norm: 5.0106 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5955 loss: 1.5955 2022/08/03 20:50:47 - mmengine - INFO - Epoch(train) [52][480/1879] lr: 1.0000e-02 eta: 1 day, 21:45:54 time: 0.4452 data_time: 0.0169 memory: 17087 grad_norm: 4.9783 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6675 loss: 1.6675 2022/08/03 20:50:55 - mmengine - INFO - Epoch(train) [52][500/1879] lr: 1.0000e-02 eta: 1 day, 21:45:45 time: 0.4248 data_time: 0.0137 memory: 17087 grad_norm: 5.0248 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6229 loss: 1.6229 2022/08/03 20:51:04 - mmengine - INFO - Epoch(train) [52][520/1879] lr: 1.0000e-02 eta: 1 day, 21:45:37 time: 0.4318 data_time: 0.0164 memory: 17087 grad_norm: 5.0408 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6176 loss: 1.6176 2022/08/03 20:51:12 - mmengine - INFO - Epoch(train) [52][540/1879] lr: 1.0000e-02 eta: 1 day, 21:45:28 time: 0.4264 data_time: 0.0145 memory: 17087 grad_norm: 5.0337 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6203 loss: 1.6203 2022/08/03 20:51:21 - mmengine - INFO - Epoch(train) [52][560/1879] lr: 1.0000e-02 eta: 1 day, 21:45:19 time: 0.4301 data_time: 0.0160 memory: 17087 grad_norm: 5.0512 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4781 loss: 1.4781 2022/08/03 20:51:29 - mmengine - INFO - Epoch(train) [52][580/1879] lr: 1.0000e-02 eta: 1 day, 21:45:11 time: 0.4248 data_time: 0.0123 memory: 17087 grad_norm: 5.0582 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8305 loss: 1.8305 2022/08/03 20:51:38 - mmengine - INFO - Epoch(train) [52][600/1879] lr: 1.0000e-02 eta: 1 day, 21:45:02 time: 0.4264 data_time: 0.0164 memory: 17087 grad_norm: 5.0937 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5397 loss: 1.5397 2022/08/03 20:51:47 - mmengine - INFO - Epoch(train) [52][620/1879] lr: 1.0000e-02 eta: 1 day, 21:44:54 time: 0.4367 data_time: 0.0153 memory: 17087 grad_norm: 4.9377 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5605 loss: 1.5605 2022/08/03 20:51:55 - mmengine - INFO - Epoch(train) [52][640/1879] lr: 1.0000e-02 eta: 1 day, 21:44:45 time: 0.4264 data_time: 0.0157 memory: 17087 grad_norm: 5.1459 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7358 loss: 1.7358 2022/08/03 20:52:04 - mmengine - INFO - Epoch(train) [52][660/1879] lr: 1.0000e-02 eta: 1 day, 21:44:37 time: 0.4286 data_time: 0.0155 memory: 17087 grad_norm: 5.0556 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6343 loss: 1.6343 2022/08/03 20:52:12 - mmengine - INFO - Epoch(train) [52][680/1879] lr: 1.0000e-02 eta: 1 day, 21:44:28 time: 0.4305 data_time: 0.0154 memory: 17087 grad_norm: 4.9255 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4636 loss: 1.4636 2022/08/03 20:52:21 - mmengine - INFO - Epoch(train) [52][700/1879] lr: 1.0000e-02 eta: 1 day, 21:44:20 time: 0.4307 data_time: 0.0144 memory: 17087 grad_norm: 4.9407 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6397 loss: 1.6397 2022/08/03 20:52:30 - mmengine - INFO - Epoch(train) [52][720/1879] lr: 1.0000e-02 eta: 1 day, 21:44:11 time: 0.4276 data_time: 0.0170 memory: 17087 grad_norm: 4.9827 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5733 loss: 1.5733 2022/08/03 20:52:38 - mmengine - INFO - Epoch(train) [52][740/1879] lr: 1.0000e-02 eta: 1 day, 21:44:03 time: 0.4280 data_time: 0.0137 memory: 17087 grad_norm: 4.9921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6444 loss: 1.6444 2022/08/03 20:52:47 - mmengine - INFO - Epoch(train) [52][760/1879] lr: 1.0000e-02 eta: 1 day, 21:43:54 time: 0.4256 data_time: 0.0163 memory: 17087 grad_norm: 4.8813 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6276 loss: 1.6276 2022/08/03 20:52:55 - mmengine - INFO - Epoch(train) [52][780/1879] lr: 1.0000e-02 eta: 1 day, 21:43:45 time: 0.4256 data_time: 0.0148 memory: 17087 grad_norm: 5.0084 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5020 loss: 1.5020 2022/08/03 20:53:04 - mmengine - INFO - Epoch(train) [52][800/1879] lr: 1.0000e-02 eta: 1 day, 21:43:39 time: 0.4559 data_time: 0.0171 memory: 17087 grad_norm: 4.8168 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3407 loss: 1.3407 2022/08/03 20:53:13 - mmengine - INFO - Epoch(train) [52][820/1879] lr: 1.0000e-02 eta: 1 day, 21:43:30 time: 0.4265 data_time: 0.0150 memory: 17087 grad_norm: 5.0257 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6872 loss: 1.6872 2022/08/03 20:53:22 - mmengine - INFO - Epoch(train) [52][840/1879] lr: 1.0000e-02 eta: 1 day, 21:43:24 time: 0.4538 data_time: 0.0162 memory: 17087 grad_norm: 4.9831 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6185 loss: 1.6185 2022/08/03 20:53:30 - mmengine - INFO - Epoch(train) [52][860/1879] lr: 1.0000e-02 eta: 1 day, 21:43:15 time: 0.4236 data_time: 0.0130 memory: 17087 grad_norm: 4.8927 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6279 loss: 1.6279 2022/08/03 20:53:39 - mmengine - INFO - Epoch(train) [52][880/1879] lr: 1.0000e-02 eta: 1 day, 21:43:06 time: 0.4291 data_time: 0.0156 memory: 17087 grad_norm: 5.0932 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4986 loss: 1.4986 2022/08/03 20:53:48 - mmengine - INFO - Epoch(train) [52][900/1879] lr: 1.0000e-02 eta: 1 day, 21:42:59 time: 0.4409 data_time: 0.0136 memory: 17087 grad_norm: 4.8918 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4788 loss: 1.4788 2022/08/03 20:53:56 - mmengine - INFO - Epoch(train) [52][920/1879] lr: 1.0000e-02 eta: 1 day, 21:42:50 time: 0.4271 data_time: 0.0184 memory: 17087 grad_norm: 5.0089 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5988 loss: 1.5988 2022/08/03 20:54:05 - mmengine - INFO - Epoch(train) [52][940/1879] lr: 1.0000e-02 eta: 1 day, 21:42:41 time: 0.4280 data_time: 0.0156 memory: 17087 grad_norm: 5.1655 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6631 loss: 1.6631 2022/08/03 20:54:14 - mmengine - INFO - Epoch(train) [52][960/1879] lr: 1.0000e-02 eta: 1 day, 21:42:33 time: 0.4256 data_time: 0.0182 memory: 17087 grad_norm: 4.9460 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5285 loss: 1.5285 2022/08/03 20:54:22 - mmengine - INFO - Epoch(train) [52][980/1879] lr: 1.0000e-02 eta: 1 day, 21:42:25 time: 0.4351 data_time: 0.0197 memory: 17087 grad_norm: 4.9993 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7633 loss: 1.7633 2022/08/03 20:54:31 - mmengine - INFO - Epoch(train) [52][1000/1879] lr: 1.0000e-02 eta: 1 day, 21:42:16 time: 0.4251 data_time: 0.0145 memory: 17087 grad_norm: 5.0148 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4903 loss: 1.4903 2022/08/03 20:54:39 - mmengine - INFO - Epoch(train) [52][1020/1879] lr: 1.0000e-02 eta: 1 day, 21:42:07 time: 0.4236 data_time: 0.0143 memory: 17087 grad_norm: 4.9467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7167 loss: 1.7167 2022/08/03 20:54:48 - mmengine - INFO - Epoch(train) [52][1040/1879] lr: 1.0000e-02 eta: 1 day, 21:41:59 time: 0.4351 data_time: 0.0168 memory: 17087 grad_norm: 5.0425 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6462 loss: 1.6462 2022/08/03 20:54:56 - mmengine - INFO - Epoch(train) [52][1060/1879] lr: 1.0000e-02 eta: 1 day, 21:41:50 time: 0.4249 data_time: 0.0141 memory: 17087 grad_norm: 5.0358 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6284 loss: 1.6284 2022/08/03 20:55:05 - mmengine - INFO - Epoch(train) [52][1080/1879] lr: 1.0000e-02 eta: 1 day, 21:41:42 time: 0.4351 data_time: 0.0173 memory: 17087 grad_norm: 4.9420 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7339 loss: 1.7339 2022/08/03 20:55:14 - mmengine - INFO - Epoch(train) [52][1100/1879] lr: 1.0000e-02 eta: 1 day, 21:41:33 time: 0.4250 data_time: 0.0155 memory: 17087 grad_norm: 5.0537 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6150 loss: 1.6150 2022/08/03 20:55:22 - mmengine - INFO - Epoch(train) [52][1120/1879] lr: 1.0000e-02 eta: 1 day, 21:41:25 time: 0.4367 data_time: 0.0158 memory: 17087 grad_norm: 4.9660 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7325 loss: 1.7325 2022/08/03 20:55:31 - mmengine - INFO - Epoch(train) [52][1140/1879] lr: 1.0000e-02 eta: 1 day, 21:41:16 time: 0.4238 data_time: 0.0141 memory: 17087 grad_norm: 4.9368 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3701 loss: 1.3701 2022/08/03 20:55:39 - mmengine - INFO - Epoch(train) [52][1160/1879] lr: 1.0000e-02 eta: 1 day, 21:41:07 time: 0.4249 data_time: 0.0161 memory: 17087 grad_norm: 4.8992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5595 loss: 1.5595 2022/08/03 20:55:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 20:55:48 - mmengine - INFO - Epoch(train) [52][1180/1879] lr: 1.0000e-02 eta: 1 day, 21:40:59 time: 0.4289 data_time: 0.0152 memory: 17087 grad_norm: 5.0727 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6310 loss: 1.6310 2022/08/03 20:55:57 - mmengine - INFO - Epoch(train) [52][1200/1879] lr: 1.0000e-02 eta: 1 day, 21:40:50 time: 0.4257 data_time: 0.0153 memory: 17087 grad_norm: 5.0008 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8373 loss: 1.8373 2022/08/03 20:56:05 - mmengine - INFO - Epoch(train) [52][1220/1879] lr: 1.0000e-02 eta: 1 day, 21:40:42 time: 0.4301 data_time: 0.0152 memory: 17087 grad_norm: 4.9327 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4934 loss: 1.4934 2022/08/03 20:56:14 - mmengine - INFO - Epoch(train) [52][1240/1879] lr: 1.0000e-02 eta: 1 day, 21:40:33 time: 0.4240 data_time: 0.0162 memory: 17087 grad_norm: 4.9338 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4198 loss: 1.4198 2022/08/03 20:56:23 - mmengine - INFO - Epoch(train) [52][1260/1879] lr: 1.0000e-02 eta: 1 day, 21:40:26 time: 0.4491 data_time: 0.0158 memory: 17087 grad_norm: 4.8874 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5763 loss: 1.5763 2022/08/03 20:56:31 - mmengine - INFO - Epoch(train) [52][1280/1879] lr: 1.0000e-02 eta: 1 day, 21:40:17 time: 0.4257 data_time: 0.0149 memory: 17087 grad_norm: 4.8700 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5585 loss: 1.5585 2022/08/03 20:56:40 - mmengine - INFO - Epoch(train) [52][1300/1879] lr: 1.0000e-02 eta: 1 day, 21:40:08 time: 0.4234 data_time: 0.0134 memory: 17087 grad_norm: 4.9338 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6106 loss: 1.6106 2022/08/03 20:56:48 - mmengine - INFO - Epoch(train) [52][1320/1879] lr: 1.0000e-02 eta: 1 day, 21:40:00 time: 0.4362 data_time: 0.0162 memory: 17087 grad_norm: 4.9373 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4779 loss: 1.4779 2022/08/03 20:56:57 - mmengine - INFO - Epoch(train) [52][1340/1879] lr: 1.0000e-02 eta: 1 day, 21:39:52 time: 0.4279 data_time: 0.0147 memory: 17087 grad_norm: 4.8027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5940 loss: 1.5940 2022/08/03 20:57:05 - mmengine - INFO - Epoch(train) [52][1360/1879] lr: 1.0000e-02 eta: 1 day, 21:39:43 time: 0.4304 data_time: 0.0194 memory: 17087 grad_norm: 4.8693 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5870 loss: 1.5870 2022/08/03 20:57:14 - mmengine - INFO - Epoch(train) [52][1380/1879] lr: 1.0000e-02 eta: 1 day, 21:39:34 time: 0.4246 data_time: 0.0141 memory: 17087 grad_norm: 5.0773 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6053 loss: 1.6053 2022/08/03 20:57:23 - mmengine - INFO - Epoch(train) [52][1400/1879] lr: 1.0000e-02 eta: 1 day, 21:39:27 time: 0.4460 data_time: 0.0152 memory: 17087 grad_norm: 5.0937 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6181 loss: 1.6181 2022/08/03 20:57:31 - mmengine - INFO - Epoch(train) [52][1420/1879] lr: 1.0000e-02 eta: 1 day, 21:39:18 time: 0.4227 data_time: 0.0139 memory: 17087 grad_norm: 4.9961 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3815 loss: 1.3815 2022/08/03 20:57:40 - mmengine - INFO - Epoch(train) [52][1440/1879] lr: 1.0000e-02 eta: 1 day, 21:39:10 time: 0.4305 data_time: 0.0191 memory: 17087 grad_norm: 5.0490 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6141 loss: 1.6141 2022/08/03 20:57:49 - mmengine - INFO - Epoch(train) [52][1460/1879] lr: 1.0000e-02 eta: 1 day, 21:39:01 time: 0.4262 data_time: 0.0144 memory: 17087 grad_norm: 4.9931 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6727 loss: 1.6727 2022/08/03 20:57:57 - mmengine - INFO - Epoch(train) [52][1480/1879] lr: 1.0000e-02 eta: 1 day, 21:38:52 time: 0.4264 data_time: 0.0155 memory: 17087 grad_norm: 4.8576 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5438 loss: 1.5438 2022/08/03 20:58:06 - mmengine - INFO - Epoch(train) [52][1500/1879] lr: 1.0000e-02 eta: 1 day, 21:38:44 time: 0.4293 data_time: 0.0154 memory: 17087 grad_norm: 4.8845 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8183 loss: 1.8183 2022/08/03 20:58:14 - mmengine - INFO - Epoch(train) [52][1520/1879] lr: 1.0000e-02 eta: 1 day, 21:38:35 time: 0.4275 data_time: 0.0164 memory: 17087 grad_norm: 4.9686 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4221 loss: 1.4221 2022/08/03 20:58:23 - mmengine - INFO - Epoch(train) [52][1540/1879] lr: 1.0000e-02 eta: 1 day, 21:38:27 time: 0.4287 data_time: 0.0151 memory: 17087 grad_norm: 4.9751 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6132 loss: 1.6132 2022/08/03 20:58:31 - mmengine - INFO - Epoch(train) [52][1560/1879] lr: 1.0000e-02 eta: 1 day, 21:38:18 time: 0.4260 data_time: 0.0145 memory: 17087 grad_norm: 4.8801 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6029 loss: 1.6029 2022/08/03 20:58:40 - mmengine - INFO - Epoch(train) [52][1580/1879] lr: 1.0000e-02 eta: 1 day, 21:38:09 time: 0.4238 data_time: 0.0145 memory: 17087 grad_norm: 4.9773 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7004 loss: 1.7004 2022/08/03 20:58:49 - mmengine - INFO - Epoch(train) [52][1600/1879] lr: 1.0000e-02 eta: 1 day, 21:38:03 time: 0.4601 data_time: 0.0168 memory: 17087 grad_norm: 4.9485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5782 loss: 1.5782 2022/08/03 20:58:58 - mmengine - INFO - Epoch(train) [52][1620/1879] lr: 1.0000e-02 eta: 1 day, 21:37:54 time: 0.4258 data_time: 0.0162 memory: 17087 grad_norm: 5.0233 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6277 loss: 1.6277 2022/08/03 20:59:07 - mmengine - INFO - Epoch(train) [52][1640/1879] lr: 1.0000e-02 eta: 1 day, 21:37:47 time: 0.4492 data_time: 0.0159 memory: 17087 grad_norm: 4.7647 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5481 loss: 1.5481 2022/08/03 20:59:15 - mmengine - INFO - Epoch(train) [52][1660/1879] lr: 1.0000e-02 eta: 1 day, 21:37:39 time: 0.4279 data_time: 0.0151 memory: 17087 grad_norm: 5.0785 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8038 loss: 1.8038 2022/08/03 20:59:24 - mmengine - INFO - Epoch(train) [52][1680/1879] lr: 1.0000e-02 eta: 1 day, 21:37:30 time: 0.4253 data_time: 0.0161 memory: 17087 grad_norm: 4.8646 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6562 loss: 1.6562 2022/08/03 20:59:32 - mmengine - INFO - Epoch(train) [52][1700/1879] lr: 1.0000e-02 eta: 1 day, 21:37:21 time: 0.4275 data_time: 0.0150 memory: 17087 grad_norm: 4.8182 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5694 loss: 1.5694 2022/08/03 20:59:41 - mmengine - INFO - Epoch(train) [52][1720/1879] lr: 1.0000e-02 eta: 1 day, 21:37:13 time: 0.4358 data_time: 0.0163 memory: 17087 grad_norm: 4.8043 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5252 loss: 1.5252 2022/08/03 20:59:49 - mmengine - INFO - Epoch(train) [52][1740/1879] lr: 1.0000e-02 eta: 1 day, 21:37:05 time: 0.4247 data_time: 0.0144 memory: 17087 grad_norm: 5.0100 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.8962 loss: 1.8962 2022/08/03 20:59:58 - mmengine - INFO - Epoch(train) [52][1760/1879] lr: 1.0000e-02 eta: 1 day, 21:36:56 time: 0.4300 data_time: 0.0188 memory: 17087 grad_norm: 4.9498 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4448 loss: 1.4448 2022/08/03 21:00:07 - mmengine - INFO - Epoch(train) [52][1780/1879] lr: 1.0000e-02 eta: 1 day, 21:36:49 time: 0.4491 data_time: 0.0150 memory: 17087 grad_norm: 4.9600 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7377 loss: 1.7377 2022/08/03 21:00:16 - mmengine - INFO - Epoch(train) [52][1800/1879] lr: 1.0000e-02 eta: 1 day, 21:36:41 time: 0.4317 data_time: 0.0193 memory: 17087 grad_norm: 4.9906 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6552 loss: 1.6552 2022/08/03 21:00:24 - mmengine - INFO - Epoch(train) [52][1820/1879] lr: 1.0000e-02 eta: 1 day, 21:36:32 time: 0.4258 data_time: 0.0142 memory: 17087 grad_norm: 4.9973 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6134 loss: 1.6134 2022/08/03 21:00:33 - mmengine - INFO - Epoch(train) [52][1840/1879] lr: 1.0000e-02 eta: 1 day, 21:36:24 time: 0.4278 data_time: 0.0167 memory: 17087 grad_norm: 4.9799 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7257 loss: 1.7257 2022/08/03 21:00:41 - mmengine - INFO - Epoch(train) [52][1860/1879] lr: 1.0000e-02 eta: 1 day, 21:36:15 time: 0.4238 data_time: 0.0139 memory: 17087 grad_norm: 5.0016 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5080 loss: 1.5080 2022/08/03 21:00:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 21:00:49 - mmengine - INFO - Epoch(train) [52][1879/1879] lr: 1.0000e-02 eta: 1 day, 21:36:15 time: 0.4064 data_time: 0.0138 memory: 17087 grad_norm: 5.0792 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.6061 loss: 1.6061 2022/08/03 21:00:49 - mmengine - INFO - Saving checkpoint at 52 epochs 2022/08/03 21:01:03 - mmengine - INFO - Epoch(train) [53][20/1879] lr: 1.0000e-02 eta: 1 day, 21:35:34 time: 0.5349 data_time: 0.0890 memory: 17087 grad_norm: 4.8091 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5584 loss: 1.5584 2022/08/03 21:01:12 - mmengine - INFO - Epoch(train) [53][40/1879] lr: 1.0000e-02 eta: 1 day, 21:35:26 time: 0.4246 data_time: 0.0167 memory: 17087 grad_norm: 4.8244 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3819 loss: 1.3819 2022/08/03 21:01:20 - mmengine - INFO - Epoch(train) [53][60/1879] lr: 1.0000e-02 eta: 1 day, 21:35:17 time: 0.4284 data_time: 0.0186 memory: 17087 grad_norm: 4.8394 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5341 loss: 1.5341 2022/08/03 21:01:29 - mmengine - INFO - Epoch(train) [53][80/1879] lr: 1.0000e-02 eta: 1 day, 21:35:09 time: 0.4324 data_time: 0.0158 memory: 17087 grad_norm: 5.1712 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7356 loss: 1.7356 2022/08/03 21:01:37 - mmengine - INFO - Epoch(train) [53][100/1879] lr: 1.0000e-02 eta: 1 day, 21:35:00 time: 0.4268 data_time: 0.0127 memory: 17087 grad_norm: 5.0183 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6532 loss: 1.6532 2022/08/03 21:01:46 - mmengine - INFO - Epoch(train) [53][120/1879] lr: 1.0000e-02 eta: 1 day, 21:34:52 time: 0.4323 data_time: 0.0160 memory: 17087 grad_norm: 5.0031 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4571 loss: 1.4571 2022/08/03 21:01:55 - mmengine - INFO - Epoch(train) [53][140/1879] lr: 1.0000e-02 eta: 1 day, 21:34:45 time: 0.4503 data_time: 0.0147 memory: 17087 grad_norm: 4.9322 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6827 loss: 1.6827 2022/08/03 21:02:04 - mmengine - INFO - Epoch(train) [53][160/1879] lr: 1.0000e-02 eta: 1 day, 21:34:36 time: 0.4275 data_time: 0.0156 memory: 17087 grad_norm: 4.9469 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6320 loss: 1.6320 2022/08/03 21:02:12 - mmengine - INFO - Epoch(train) [53][180/1879] lr: 1.0000e-02 eta: 1 day, 21:34:28 time: 0.4297 data_time: 0.0186 memory: 17087 grad_norm: 4.9459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6698 loss: 1.6698 2022/08/03 21:02:21 - mmengine - INFO - Epoch(train) [53][200/1879] lr: 1.0000e-02 eta: 1 day, 21:34:19 time: 0.4246 data_time: 0.0150 memory: 17087 grad_norm: 4.9979 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4132 loss: 1.4132 2022/08/03 21:02:29 - mmengine - INFO - Epoch(train) [53][220/1879] lr: 1.0000e-02 eta: 1 day, 21:34:10 time: 0.4225 data_time: 0.0150 memory: 17087 grad_norm: 5.1346 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4947 loss: 1.4947 2022/08/03 21:02:38 - mmengine - INFO - Epoch(train) [53][240/1879] lr: 1.0000e-02 eta: 1 day, 21:34:03 time: 0.4479 data_time: 0.0174 memory: 17087 grad_norm: 4.9927 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7332 loss: 1.7332 2022/08/03 21:02:47 - mmengine - INFO - Epoch(train) [53][260/1879] lr: 1.0000e-02 eta: 1 day, 21:33:54 time: 0.4235 data_time: 0.0129 memory: 17087 grad_norm: 4.8871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3212 loss: 1.3212 2022/08/03 21:02:56 - mmengine - INFO - Epoch(train) [53][280/1879] lr: 1.0000e-02 eta: 1 day, 21:33:47 time: 0.4489 data_time: 0.0215 memory: 17087 grad_norm: 4.7453 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5926 loss: 1.5926 2022/08/03 21:03:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 21:03:04 - mmengine - INFO - Epoch(train) [53][300/1879] lr: 1.0000e-02 eta: 1 day, 21:33:38 time: 0.4271 data_time: 0.0168 memory: 17087 grad_norm: 4.8736 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5387 loss: 1.5387 2022/08/03 21:03:13 - mmengine - INFO - Epoch(train) [53][320/1879] lr: 1.0000e-02 eta: 1 day, 21:33:31 time: 0.4462 data_time: 0.0165 memory: 17087 grad_norm: 4.9519 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5260 loss: 1.5260 2022/08/03 21:03:22 - mmengine - INFO - Epoch(train) [53][340/1879] lr: 1.0000e-02 eta: 1 day, 21:33:22 time: 0.4243 data_time: 0.0148 memory: 17087 grad_norm: 4.9514 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6027 loss: 1.6027 2022/08/03 21:03:30 - mmengine - INFO - Epoch(train) [53][360/1879] lr: 1.0000e-02 eta: 1 day, 21:33:14 time: 0.4266 data_time: 0.0157 memory: 17087 grad_norm: 4.8644 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6349 loss: 1.6349 2022/08/03 21:03:39 - mmengine - INFO - Epoch(train) [53][380/1879] lr: 1.0000e-02 eta: 1 day, 21:33:06 time: 0.4344 data_time: 0.0173 memory: 17087 grad_norm: 4.9214 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6416 loss: 1.6416 2022/08/03 21:03:47 - mmengine - INFO - Epoch(train) [53][400/1879] lr: 1.0000e-02 eta: 1 day, 21:32:57 time: 0.4246 data_time: 0.0159 memory: 17087 grad_norm: 4.9911 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5928 loss: 1.5928 2022/08/03 21:03:56 - mmengine - INFO - Epoch(train) [53][420/1879] lr: 1.0000e-02 eta: 1 day, 21:32:48 time: 0.4304 data_time: 0.0163 memory: 17087 grad_norm: 4.8964 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4393 loss: 1.4393 2022/08/03 21:04:05 - mmengine - INFO - Epoch(train) [53][440/1879] lr: 1.0000e-02 eta: 1 day, 21:32:40 time: 0.4247 data_time: 0.0148 memory: 17087 grad_norm: 4.9235 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7376 loss: 1.7376 2022/08/03 21:04:13 - mmengine - INFO - Epoch(train) [53][460/1879] lr: 1.0000e-02 eta: 1 day, 21:32:31 time: 0.4311 data_time: 0.0156 memory: 17087 grad_norm: 5.0382 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7039 loss: 1.7039 2022/08/03 21:04:22 - mmengine - INFO - Epoch(train) [53][480/1879] lr: 1.0000e-02 eta: 1 day, 21:32:23 time: 0.4264 data_time: 0.0152 memory: 17087 grad_norm: 5.0900 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5306 loss: 1.5306 2022/08/03 21:04:30 - mmengine - INFO - Epoch(train) [53][500/1879] lr: 1.0000e-02 eta: 1 day, 21:32:14 time: 0.4232 data_time: 0.0153 memory: 17087 grad_norm: 4.9560 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7103 loss: 1.7103 2022/08/03 21:04:39 - mmengine - INFO - Epoch(train) [53][520/1879] lr: 1.0000e-02 eta: 1 day, 21:32:06 time: 0.4407 data_time: 0.0154 memory: 17087 grad_norm: 4.8913 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6116 loss: 1.6116 2022/08/03 21:04:47 - mmengine - INFO - Epoch(train) [53][540/1879] lr: 1.0000e-02 eta: 1 day, 21:31:57 time: 0.4268 data_time: 0.0161 memory: 17087 grad_norm: 4.9930 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7072 loss: 1.7072 2022/08/03 21:04:56 - mmengine - INFO - Epoch(train) [53][560/1879] lr: 1.0000e-02 eta: 1 day, 21:31:49 time: 0.4294 data_time: 0.0167 memory: 17087 grad_norm: 4.9664 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6168 loss: 1.6168 2022/08/03 21:05:05 - mmengine - INFO - Epoch(train) [53][580/1879] lr: 1.0000e-02 eta: 1 day, 21:31:40 time: 0.4269 data_time: 0.0163 memory: 17087 grad_norm: 4.8702 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6257 loss: 1.6257 2022/08/03 21:05:13 - mmengine - INFO - Epoch(train) [53][600/1879] lr: 1.0000e-02 eta: 1 day, 21:31:32 time: 0.4332 data_time: 0.0151 memory: 17087 grad_norm: 4.8888 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7104 loss: 1.7104 2022/08/03 21:05:22 - mmengine - INFO - Epoch(train) [53][620/1879] lr: 1.0000e-02 eta: 1 day, 21:31:23 time: 0.4260 data_time: 0.0143 memory: 17087 grad_norm: 4.8520 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.6839 loss: 1.6839 2022/08/03 21:05:30 - mmengine - INFO - Epoch(train) [53][640/1879] lr: 1.0000e-02 eta: 1 day, 21:31:15 time: 0.4262 data_time: 0.0185 memory: 17087 grad_norm: 4.8391 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3745 loss: 1.3745 2022/08/03 21:05:39 - mmengine - INFO - Epoch(train) [53][660/1879] lr: 1.0000e-02 eta: 1 day, 21:31:06 time: 0.4268 data_time: 0.0156 memory: 17087 grad_norm: 4.9911 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5581 loss: 1.5581 2022/08/03 21:05:47 - mmengine - INFO - Epoch(train) [53][680/1879] lr: 1.0000e-02 eta: 1 day, 21:30:57 time: 0.4269 data_time: 0.0152 memory: 17087 grad_norm: 5.0495 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4621 loss: 1.4621 2022/08/03 21:05:56 - mmengine - INFO - Epoch(train) [53][700/1879] lr: 1.0000e-02 eta: 1 day, 21:30:49 time: 0.4289 data_time: 0.0169 memory: 17087 grad_norm: 5.0298 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5096 loss: 1.5096 2022/08/03 21:06:05 - mmengine - INFO - Epoch(train) [53][720/1879] lr: 1.0000e-02 eta: 1 day, 21:30:40 time: 0.4267 data_time: 0.0154 memory: 17087 grad_norm: 5.0287 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5052 loss: 1.5052 2022/08/03 21:06:13 - mmengine - INFO - Epoch(train) [53][740/1879] lr: 1.0000e-02 eta: 1 day, 21:30:33 time: 0.4458 data_time: 0.0153 memory: 17087 grad_norm: 5.2301 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6907 loss: 1.6907 2022/08/03 21:06:22 - mmengine - INFO - Epoch(train) [53][760/1879] lr: 1.0000e-02 eta: 1 day, 21:30:24 time: 0.4267 data_time: 0.0160 memory: 17087 grad_norm: 5.0093 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5710 loss: 1.5710 2022/08/03 21:06:31 - mmengine - INFO - Epoch(train) [53][780/1879] lr: 1.0000e-02 eta: 1 day, 21:30:16 time: 0.4294 data_time: 0.0186 memory: 17087 grad_norm: 5.0492 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5847 loss: 1.5847 2022/08/03 21:06:39 - mmengine - INFO - Epoch(train) [53][800/1879] lr: 1.0000e-02 eta: 1 day, 21:30:07 time: 0.4317 data_time: 0.0187 memory: 17087 grad_norm: 4.9003 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5548 loss: 1.5548 2022/08/03 21:06:48 - mmengine - INFO - Epoch(train) [53][820/1879] lr: 1.0000e-02 eta: 1 day, 21:29:59 time: 0.4254 data_time: 0.0143 memory: 17087 grad_norm: 5.0988 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6800 loss: 1.6800 2022/08/03 21:06:56 - mmengine - INFO - Epoch(train) [53][840/1879] lr: 1.0000e-02 eta: 1 day, 21:29:50 time: 0.4329 data_time: 0.0177 memory: 17087 grad_norm: 4.9198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5497 loss: 1.5497 2022/08/03 21:07:05 - mmengine - INFO - Epoch(train) [53][860/1879] lr: 1.0000e-02 eta: 1 day, 21:29:42 time: 0.4280 data_time: 0.0158 memory: 17087 grad_norm: 5.1859 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6172 loss: 1.6172 2022/08/03 21:07:14 - mmengine - INFO - Epoch(train) [53][880/1879] lr: 1.0000e-02 eta: 1 day, 21:29:33 time: 0.4270 data_time: 0.0151 memory: 17087 grad_norm: 4.9894 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6213 loss: 1.6213 2022/08/03 21:07:22 - mmengine - INFO - Epoch(train) [53][900/1879] lr: 1.0000e-02 eta: 1 day, 21:29:25 time: 0.4294 data_time: 0.0148 memory: 17087 grad_norm: 4.9484 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6770 loss: 1.6770 2022/08/03 21:07:31 - mmengine - INFO - Epoch(train) [53][920/1879] lr: 1.0000e-02 eta: 1 day, 21:29:16 time: 0.4261 data_time: 0.0156 memory: 17087 grad_norm: 4.9440 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5730 loss: 1.5730 2022/08/03 21:07:39 - mmengine - INFO - Epoch(train) [53][940/1879] lr: 1.0000e-02 eta: 1 day, 21:29:08 time: 0.4352 data_time: 0.0155 memory: 17087 grad_norm: 4.8947 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2828 loss: 1.2828 2022/08/03 21:07:48 - mmengine - INFO - Epoch(train) [53][960/1879] lr: 1.0000e-02 eta: 1 day, 21:29:00 time: 0.4383 data_time: 0.0169 memory: 17087 grad_norm: 4.9399 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.5407 loss: 1.5407 2022/08/03 21:07:57 - mmengine - INFO - Epoch(train) [53][980/1879] lr: 1.0000e-02 eta: 1 day, 21:28:52 time: 0.4391 data_time: 0.0159 memory: 17087 grad_norm: 5.0941 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6980 loss: 1.6980 2022/08/03 21:08:06 - mmengine - INFO - Epoch(train) [53][1000/1879] lr: 1.0000e-02 eta: 1 day, 21:28:44 time: 0.4339 data_time: 0.0163 memory: 17087 grad_norm: 5.0419 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3088 loss: 1.3088 2022/08/03 21:08:14 - mmengine - INFO - Epoch(train) [53][1020/1879] lr: 1.0000e-02 eta: 1 day, 21:28:37 time: 0.4399 data_time: 0.0152 memory: 17087 grad_norm: 4.9285 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6003 loss: 1.6003 2022/08/03 21:08:23 - mmengine - INFO - Epoch(train) [53][1040/1879] lr: 1.0000e-02 eta: 1 day, 21:28:28 time: 0.4310 data_time: 0.0183 memory: 17087 grad_norm: 4.9374 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5426 loss: 1.5426 2022/08/03 21:08:32 - mmengine - INFO - Epoch(train) [53][1060/1879] lr: 1.0000e-02 eta: 1 day, 21:28:19 time: 0.4233 data_time: 0.0142 memory: 17087 grad_norm: 5.0339 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6708 loss: 1.6708 2022/08/03 21:08:40 - mmengine - INFO - Epoch(train) [53][1080/1879] lr: 1.0000e-02 eta: 1 day, 21:28:11 time: 0.4270 data_time: 0.0158 memory: 17087 grad_norm: 4.9289 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5461 loss: 1.5461 2022/08/03 21:08:49 - mmengine - INFO - Epoch(train) [53][1100/1879] lr: 1.0000e-02 eta: 1 day, 21:28:02 time: 0.4324 data_time: 0.0158 memory: 17087 grad_norm: 5.0289 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7207 loss: 1.7207 2022/08/03 21:08:57 - mmengine - INFO - Epoch(train) [53][1120/1879] lr: 1.0000e-02 eta: 1 day, 21:27:54 time: 0.4277 data_time: 0.0160 memory: 17087 grad_norm: 5.1269 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5323 loss: 1.5323 2022/08/03 21:09:06 - mmengine - INFO - Epoch(train) [53][1140/1879] lr: 1.0000e-02 eta: 1 day, 21:27:45 time: 0.4265 data_time: 0.0154 memory: 17087 grad_norm: 4.9488 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7045 loss: 1.7045 2022/08/03 21:09:14 - mmengine - INFO - Epoch(train) [53][1160/1879] lr: 1.0000e-02 eta: 1 day, 21:27:36 time: 0.4273 data_time: 0.0161 memory: 17087 grad_norm: 5.0088 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3559 loss: 1.3559 2022/08/03 21:09:23 - mmengine - INFO - Epoch(train) [53][1180/1879] lr: 1.0000e-02 eta: 1 day, 21:27:28 time: 0.4278 data_time: 0.0158 memory: 17087 grad_norm: 4.8400 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6238 loss: 1.6238 2022/08/03 21:09:31 - mmengine - INFO - Epoch(train) [53][1200/1879] lr: 1.0000e-02 eta: 1 day, 21:27:19 time: 0.4243 data_time: 0.0153 memory: 17087 grad_norm: 4.9071 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6670 loss: 1.6670 2022/08/03 21:09:40 - mmengine - INFO - Epoch(train) [53][1220/1879] lr: 1.0000e-02 eta: 1 day, 21:27:11 time: 0.4368 data_time: 0.0145 memory: 17087 grad_norm: 5.0334 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3917 loss: 1.3917 2022/08/03 21:09:49 - mmengine - INFO - Epoch(train) [53][1240/1879] lr: 1.0000e-02 eta: 1 day, 21:27:03 time: 0.4316 data_time: 0.0181 memory: 17087 grad_norm: 5.0581 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7135 loss: 1.7135 2022/08/03 21:09:57 - mmengine - INFO - Epoch(train) [53][1260/1879] lr: 1.0000e-02 eta: 1 day, 21:26:54 time: 0.4261 data_time: 0.0149 memory: 17087 grad_norm: 4.9728 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4388 loss: 1.4388 2022/08/03 21:10:06 - mmengine - INFO - Epoch(train) [53][1280/1879] lr: 1.0000e-02 eta: 1 day, 21:26:45 time: 0.4260 data_time: 0.0170 memory: 17087 grad_norm: 4.9637 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7733 loss: 1.7733 2022/08/03 21:10:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 21:10:14 - mmengine - INFO - Epoch(train) [53][1300/1879] lr: 1.0000e-02 eta: 1 day, 21:26:37 time: 0.4258 data_time: 0.0156 memory: 17087 grad_norm: 5.0638 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.7702 loss: 1.7702 2022/08/03 21:10:23 - mmengine - INFO - Epoch(train) [53][1320/1879] lr: 1.0000e-02 eta: 1 day, 21:26:28 time: 0.4281 data_time: 0.0158 memory: 17087 grad_norm: 5.0209 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.7600 loss: 1.7600 2022/08/03 21:10:32 - mmengine - INFO - Epoch(train) [53][1340/1879] lr: 1.0000e-02 eta: 1 day, 21:26:19 time: 0.4251 data_time: 0.0150 memory: 17087 grad_norm: 5.1494 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5609 loss: 1.5609 2022/08/03 21:10:40 - mmengine - INFO - Epoch(train) [53][1360/1879] lr: 1.0000e-02 eta: 1 day, 21:26:11 time: 0.4292 data_time: 0.0191 memory: 17087 grad_norm: 5.0545 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5673 loss: 1.5673 2022/08/03 21:10:49 - mmengine - INFO - Epoch(train) [53][1380/1879] lr: 1.0000e-02 eta: 1 day, 21:26:04 time: 0.4563 data_time: 0.0164 memory: 17087 grad_norm: 5.0002 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6296 loss: 1.6296 2022/08/03 21:10:58 - mmengine - INFO - Epoch(train) [53][1400/1879] lr: 1.0000e-02 eta: 1 day, 21:25:55 time: 0.4254 data_time: 0.0148 memory: 17087 grad_norm: 5.0427 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5586 loss: 1.5586 2022/08/03 21:11:07 - mmengine - INFO - Epoch(train) [53][1420/1879] lr: 1.0000e-02 eta: 1 day, 21:25:49 time: 0.4550 data_time: 0.0207 memory: 17087 grad_norm: 5.1413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5794 loss: 1.5794 2022/08/03 21:11:15 - mmengine - INFO - Epoch(train) [53][1440/1879] lr: 1.0000e-02 eta: 1 day, 21:25:40 time: 0.4245 data_time: 0.0153 memory: 17087 grad_norm: 4.9910 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6404 loss: 1.6404 2022/08/03 21:11:24 - mmengine - INFO - Epoch(train) [53][1460/1879] lr: 1.0000e-02 eta: 1 day, 21:25:32 time: 0.4379 data_time: 0.0207 memory: 17087 grad_norm: 5.0521 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4913 loss: 1.4913 2022/08/03 21:11:33 - mmengine - INFO - Epoch(train) [53][1480/1879] lr: 1.0000e-02 eta: 1 day, 21:25:24 time: 0.4259 data_time: 0.0157 memory: 17087 grad_norm: 4.9700 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5099 loss: 1.5099 2022/08/03 21:11:41 - mmengine - INFO - Epoch(train) [53][1500/1879] lr: 1.0000e-02 eta: 1 day, 21:25:15 time: 0.4231 data_time: 0.0137 memory: 17087 grad_norm: 4.9814 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6705 loss: 1.6705 2022/08/03 21:11:50 - mmengine - INFO - Epoch(train) [53][1520/1879] lr: 1.0000e-02 eta: 1 day, 21:25:08 time: 0.4500 data_time: 0.0159 memory: 17087 grad_norm: 5.0752 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7261 loss: 1.7261 2022/08/03 21:11:59 - mmengine - INFO - Epoch(train) [53][1540/1879] lr: 1.0000e-02 eta: 1 day, 21:25:00 time: 0.4432 data_time: 0.0189 memory: 17087 grad_norm: 5.0157 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6936 loss: 1.6936 2022/08/03 21:12:08 - mmengine - INFO - Epoch(train) [53][1560/1879] lr: 1.0000e-02 eta: 1 day, 21:24:52 time: 0.4280 data_time: 0.0153 memory: 17087 grad_norm: 4.9985 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5712 loss: 1.5712 2022/08/03 21:12:16 - mmengine - INFO - Epoch(train) [53][1580/1879] lr: 1.0000e-02 eta: 1 day, 21:24:43 time: 0.4313 data_time: 0.0196 memory: 17087 grad_norm: 4.9590 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5503 loss: 1.5503 2022/08/03 21:12:25 - mmengine - INFO - Epoch(train) [53][1600/1879] lr: 1.0000e-02 eta: 1 day, 21:24:35 time: 0.4366 data_time: 0.0172 memory: 17087 grad_norm: 5.0194 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7328 loss: 1.7328 2022/08/03 21:12:34 - mmengine - INFO - Epoch(train) [53][1620/1879] lr: 1.0000e-02 eta: 1 day, 21:24:28 time: 0.4477 data_time: 0.0160 memory: 17087 grad_norm: 4.8942 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4590 loss: 1.4590 2022/08/03 21:12:42 - mmengine - INFO - Epoch(train) [53][1640/1879] lr: 1.0000e-02 eta: 1 day, 21:24:20 time: 0.4265 data_time: 0.0157 memory: 17087 grad_norm: 4.9875 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5099 loss: 1.5099 2022/08/03 21:12:51 - mmengine - INFO - Epoch(train) [53][1660/1879] lr: 1.0000e-02 eta: 1 day, 21:24:11 time: 0.4299 data_time: 0.0150 memory: 17087 grad_norm: 5.0065 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6254 loss: 1.6254 2022/08/03 21:13:00 - mmengine - INFO - Epoch(train) [53][1680/1879] lr: 1.0000e-02 eta: 1 day, 21:24:03 time: 0.4280 data_time: 0.0170 memory: 17087 grad_norm: 4.8916 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3851 loss: 1.3851 2022/08/03 21:13:08 - mmengine - INFO - Epoch(train) [53][1700/1879] lr: 1.0000e-02 eta: 1 day, 21:23:54 time: 0.4237 data_time: 0.0148 memory: 17087 grad_norm: 4.9661 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4952 loss: 1.4952 2022/08/03 21:13:17 - mmengine - INFO - Epoch(train) [53][1720/1879] lr: 1.0000e-02 eta: 1 day, 21:23:46 time: 0.4337 data_time: 0.0162 memory: 17087 grad_norm: 4.9723 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3731 loss: 1.3731 2022/08/03 21:13:25 - mmengine - INFO - Epoch(train) [53][1740/1879] lr: 1.0000e-02 eta: 1 day, 21:23:37 time: 0.4325 data_time: 0.0164 memory: 17087 grad_norm: 5.0537 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8071 loss: 1.8071 2022/08/03 21:13:34 - mmengine - INFO - Epoch(train) [53][1760/1879] lr: 1.0000e-02 eta: 1 day, 21:23:29 time: 0.4326 data_time: 0.0167 memory: 17087 grad_norm: 5.0330 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6146 loss: 1.6146 2022/08/03 21:13:43 - mmengine - INFO - Epoch(train) [53][1780/1879] lr: 1.0000e-02 eta: 1 day, 21:23:20 time: 0.4259 data_time: 0.0155 memory: 17087 grad_norm: 4.9427 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5390 loss: 1.5390 2022/08/03 21:13:51 - mmengine - INFO - Epoch(train) [53][1800/1879] lr: 1.0000e-02 eta: 1 day, 21:23:12 time: 0.4268 data_time: 0.0148 memory: 17087 grad_norm: 4.7909 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7319 loss: 1.7319 2022/08/03 21:14:00 - mmengine - INFO - Epoch(train) [53][1820/1879] lr: 1.0000e-02 eta: 1 day, 21:23:04 time: 0.4433 data_time: 0.0150 memory: 17087 grad_norm: 5.0355 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5405 loss: 1.5405 2022/08/03 21:14:09 - mmengine - INFO - Epoch(train) [53][1840/1879] lr: 1.0000e-02 eta: 1 day, 21:22:56 time: 0.4310 data_time: 0.0155 memory: 17087 grad_norm: 5.0716 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6811 loss: 1.6811 2022/08/03 21:14:17 - mmengine - INFO - Epoch(train) [53][1860/1879] lr: 1.0000e-02 eta: 1 day, 21:22:47 time: 0.4273 data_time: 0.0150 memory: 17087 grad_norm: 4.8881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6508 loss: 1.6508 2022/08/03 21:14:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 21:14:25 - mmengine - INFO - Epoch(train) [53][1879/1879] lr: 1.0000e-02 eta: 1 day, 21:22:47 time: 0.4090 data_time: 0.0153 memory: 17087 grad_norm: 5.0774 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4973 loss: 1.4973 2022/08/03 21:14:37 - mmengine - INFO - Epoch(train) [54][20/1879] lr: 1.0000e-02 eta: 1 day, 21:22:11 time: 0.5861 data_time: 0.1101 memory: 17087 grad_norm: 4.8423 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6680 loss: 1.6680 2022/08/03 21:14:45 - mmengine - INFO - Epoch(train) [54][40/1879] lr: 1.0000e-02 eta: 1 day, 21:22:03 time: 0.4271 data_time: 0.0184 memory: 17087 grad_norm: 4.8576 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5447 loss: 1.5447 2022/08/03 21:14:54 - mmengine - INFO - Epoch(train) [54][60/1879] lr: 1.0000e-02 eta: 1 day, 21:21:54 time: 0.4251 data_time: 0.0144 memory: 17087 grad_norm: 4.9178 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7513 loss: 1.7513 2022/08/03 21:15:02 - mmengine - INFO - Epoch(train) [54][80/1879] lr: 1.0000e-02 eta: 1 day, 21:21:45 time: 0.4248 data_time: 0.0155 memory: 17087 grad_norm: 4.9015 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4929 loss: 1.4929 2022/08/03 21:15:11 - mmengine - INFO - Epoch(train) [54][100/1879] lr: 1.0000e-02 eta: 1 day, 21:21:37 time: 0.4327 data_time: 0.0160 memory: 17087 grad_norm: 4.8618 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5378 loss: 1.5378 2022/08/03 21:15:20 - mmengine - INFO - Epoch(train) [54][120/1879] lr: 1.0000e-02 eta: 1 day, 21:21:28 time: 0.4268 data_time: 0.0166 memory: 17087 grad_norm: 5.0444 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5877 loss: 1.5877 2022/08/03 21:15:29 - mmengine - INFO - Epoch(train) [54][140/1879] lr: 1.0000e-02 eta: 1 day, 21:21:22 time: 0.4594 data_time: 0.0149 memory: 17087 grad_norm: 5.0141 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4181 loss: 1.4181 2022/08/03 21:15:37 - mmengine - INFO - Epoch(train) [54][160/1879] lr: 1.0000e-02 eta: 1 day, 21:21:13 time: 0.4274 data_time: 0.0150 memory: 17087 grad_norm: 5.0024 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5132 loss: 1.5132 2022/08/03 21:15:46 - mmengine - INFO - Epoch(train) [54][180/1879] lr: 1.0000e-02 eta: 1 day, 21:21:05 time: 0.4296 data_time: 0.0158 memory: 17087 grad_norm: 4.9221 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6698 loss: 1.6698 2022/08/03 21:15:55 - mmengine - INFO - Epoch(train) [54][200/1879] lr: 1.0000e-02 eta: 1 day, 21:20:57 time: 0.4327 data_time: 0.0185 memory: 17087 grad_norm: 4.9293 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5751 loss: 1.5751 2022/08/03 21:16:03 - mmengine - INFO - Epoch(train) [54][220/1879] lr: 1.0000e-02 eta: 1 day, 21:20:48 time: 0.4255 data_time: 0.0148 memory: 17087 grad_norm: 4.9592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5299 loss: 1.5299 2022/08/03 21:16:12 - mmengine - INFO - Epoch(train) [54][240/1879] lr: 1.0000e-02 eta: 1 day, 21:20:39 time: 0.4267 data_time: 0.0164 memory: 17087 grad_norm: 5.0424 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6367 loss: 1.6367 2022/08/03 21:16:20 - mmengine - INFO - Epoch(train) [54][260/1879] lr: 1.0000e-02 eta: 1 day, 21:20:31 time: 0.4277 data_time: 0.0142 memory: 17087 grad_norm: 4.9949 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7105 loss: 1.7105 2022/08/03 21:16:29 - mmengine - INFO - Epoch(train) [54][280/1879] lr: 1.0000e-02 eta: 1 day, 21:20:22 time: 0.4268 data_time: 0.0153 memory: 17087 grad_norm: 4.8093 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4603 loss: 1.4603 2022/08/03 21:16:37 - mmengine - INFO - Epoch(train) [54][300/1879] lr: 1.0000e-02 eta: 1 day, 21:20:14 time: 0.4305 data_time: 0.0152 memory: 17087 grad_norm: 4.9795 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3750 loss: 1.3750 2022/08/03 21:16:46 - mmengine - INFO - Epoch(train) [54][320/1879] lr: 1.0000e-02 eta: 1 day, 21:20:05 time: 0.4253 data_time: 0.0157 memory: 17087 grad_norm: 5.1429 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3444 loss: 1.3444 2022/08/03 21:16:55 - mmengine - INFO - Epoch(train) [54][340/1879] lr: 1.0000e-02 eta: 1 day, 21:19:57 time: 0.4367 data_time: 0.0153 memory: 17087 grad_norm: 5.0683 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5845 loss: 1.5845 2022/08/03 21:17:03 - mmengine - INFO - Epoch(train) [54][360/1879] lr: 1.0000e-02 eta: 1 day, 21:19:48 time: 0.4245 data_time: 0.0151 memory: 17087 grad_norm: 4.9857 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4619 loss: 1.4619 2022/08/03 21:17:12 - mmengine - INFO - Epoch(train) [54][380/1879] lr: 1.0000e-02 eta: 1 day, 21:19:39 time: 0.4254 data_time: 0.0135 memory: 17087 grad_norm: 5.0498 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5403 loss: 1.5403 2022/08/03 21:17:20 - mmengine - INFO - Epoch(train) [54][400/1879] lr: 1.0000e-02 eta: 1 day, 21:19:31 time: 0.4377 data_time: 0.0164 memory: 17087 grad_norm: 5.2137 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5262 loss: 1.5262 2022/08/03 21:17:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 21:17:29 - mmengine - INFO - Epoch(train) [54][420/1879] lr: 1.0000e-02 eta: 1 day, 21:19:23 time: 0.4297 data_time: 0.0137 memory: 17087 grad_norm: 5.0868 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6089 loss: 1.6089 2022/08/03 21:17:38 - mmengine - INFO - Epoch(train) [54][440/1879] lr: 1.0000e-02 eta: 1 day, 21:19:15 time: 0.4391 data_time: 0.0160 memory: 17087 grad_norm: 4.9093 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6853 loss: 1.6853 2022/08/03 21:17:46 - mmengine - INFO - Epoch(train) [54][460/1879] lr: 1.0000e-02 eta: 1 day, 21:19:07 time: 0.4259 data_time: 0.0149 memory: 17087 grad_norm: 4.9320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5644 loss: 1.5644 2022/08/03 21:17:55 - mmengine - INFO - Epoch(train) [54][480/1879] lr: 1.0000e-02 eta: 1 day, 21:18:58 time: 0.4298 data_time: 0.0166 memory: 17087 grad_norm: 5.0199 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5099 loss: 1.5099 2022/08/03 21:18:03 - mmengine - INFO - Epoch(train) [54][500/1879] lr: 1.0000e-02 eta: 1 day, 21:18:49 time: 0.4247 data_time: 0.0147 memory: 17087 grad_norm: 4.8835 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5436 loss: 1.5436 2022/08/03 21:18:12 - mmengine - INFO - Epoch(train) [54][520/1879] lr: 1.0000e-02 eta: 1 day, 21:18:41 time: 0.4259 data_time: 0.0147 memory: 17087 grad_norm: 5.1388 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5778 loss: 1.5778 2022/08/03 21:18:21 - mmengine - INFO - Epoch(train) [54][540/1879] lr: 1.0000e-02 eta: 1 day, 21:18:32 time: 0.4338 data_time: 0.0131 memory: 17087 grad_norm: 5.0822 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6150 loss: 1.6150 2022/08/03 21:18:29 - mmengine - INFO - Epoch(train) [54][560/1879] lr: 1.0000e-02 eta: 1 day, 21:18:24 time: 0.4267 data_time: 0.0164 memory: 17087 grad_norm: 5.0080 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5929 loss: 1.5929 2022/08/03 21:18:38 - mmengine - INFO - Epoch(train) [54][580/1879] lr: 1.0000e-02 eta: 1 day, 21:18:15 time: 0.4291 data_time: 0.0153 memory: 17087 grad_norm: 4.9289 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.8249 loss: 1.8249 2022/08/03 21:18:46 - mmengine - INFO - Epoch(train) [54][600/1879] lr: 1.0000e-02 eta: 1 day, 21:18:07 time: 0.4264 data_time: 0.0172 memory: 17087 grad_norm: 4.9973 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5082 loss: 1.5082 2022/08/03 21:18:55 - mmengine - INFO - Epoch(train) [54][620/1879] lr: 1.0000e-02 eta: 1 day, 21:17:58 time: 0.4335 data_time: 0.0137 memory: 17087 grad_norm: 5.0842 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6202 loss: 1.6202 2022/08/03 21:19:03 - mmengine - INFO - Epoch(train) [54][640/1879] lr: 1.0000e-02 eta: 1 day, 21:17:50 time: 0.4266 data_time: 0.0170 memory: 17087 grad_norm: 4.9668 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7459 loss: 1.7459 2022/08/03 21:19:12 - mmengine - INFO - Epoch(train) [54][660/1879] lr: 1.0000e-02 eta: 1 day, 21:17:41 time: 0.4261 data_time: 0.0144 memory: 17087 grad_norm: 4.9525 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5439 loss: 1.5439 2022/08/03 21:19:21 - mmengine - INFO - Epoch(train) [54][680/1879] lr: 1.0000e-02 eta: 1 day, 21:17:33 time: 0.4351 data_time: 0.0175 memory: 17087 grad_norm: 5.0759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3702 loss: 1.3702 2022/08/03 21:19:29 - mmengine - INFO - Epoch(train) [54][700/1879] lr: 1.0000e-02 eta: 1 day, 21:17:24 time: 0.4255 data_time: 0.0144 memory: 17087 grad_norm: 5.2633 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6336 loss: 1.6336 2022/08/03 21:19:38 - mmengine - INFO - Epoch(train) [54][720/1879] lr: 1.0000e-02 eta: 1 day, 21:17:16 time: 0.4390 data_time: 0.0174 memory: 17087 grad_norm: 4.9560 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5475 loss: 1.5475 2022/08/03 21:19:47 - mmengine - INFO - Epoch(train) [54][740/1879] lr: 1.0000e-02 eta: 1 day, 21:17:08 time: 0.4258 data_time: 0.0151 memory: 17087 grad_norm: 4.9821 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6503 loss: 1.6503 2022/08/03 21:19:55 - mmengine - INFO - Epoch(train) [54][760/1879] lr: 1.0000e-02 eta: 1 day, 21:17:00 time: 0.4349 data_time: 0.0157 memory: 17087 grad_norm: 5.0804 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5381 loss: 1.5381 2022/08/03 21:20:04 - mmengine - INFO - Epoch(train) [54][780/1879] lr: 1.0000e-02 eta: 1 day, 21:16:51 time: 0.4270 data_time: 0.0153 memory: 17087 grad_norm: 5.0605 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6214 loss: 1.6214 2022/08/03 21:20:12 - mmengine - INFO - Epoch(train) [54][800/1879] lr: 1.0000e-02 eta: 1 day, 21:16:42 time: 0.4259 data_time: 0.0170 memory: 17087 grad_norm: 5.0074 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5617 loss: 1.5617 2022/08/03 21:20:21 - mmengine - INFO - Epoch(train) [54][820/1879] lr: 1.0000e-02 eta: 1 day, 21:16:33 time: 0.4267 data_time: 0.0177 memory: 17087 grad_norm: 4.8289 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5817 loss: 1.5817 2022/08/03 21:20:29 - mmengine - INFO - Epoch(train) [54][840/1879] lr: 1.0000e-02 eta: 1 day, 21:16:25 time: 0.4280 data_time: 0.0152 memory: 17087 grad_norm: 5.0614 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4805 loss: 1.4805 2022/08/03 21:20:38 - mmengine - INFO - Epoch(train) [54][860/1879] lr: 1.0000e-02 eta: 1 day, 21:16:17 time: 0.4332 data_time: 0.0148 memory: 17087 grad_norm: 4.9744 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7932 loss: 1.7932 2022/08/03 21:20:47 - mmengine - INFO - Epoch(train) [54][880/1879] lr: 1.0000e-02 eta: 1 day, 21:16:08 time: 0.4265 data_time: 0.0179 memory: 17087 grad_norm: 4.8534 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4283 loss: 1.4283 2022/08/03 21:20:55 - mmengine - INFO - Epoch(train) [54][900/1879] lr: 1.0000e-02 eta: 1 day, 21:16:00 time: 0.4350 data_time: 0.0149 memory: 17087 grad_norm: 5.0294 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5916 loss: 1.5916 2022/08/03 21:21:04 - mmengine - INFO - Epoch(train) [54][920/1879] lr: 1.0000e-02 eta: 1 day, 21:15:51 time: 0.4266 data_time: 0.0160 memory: 17087 grad_norm: 5.0766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6009 loss: 1.6009 2022/08/03 21:21:12 - mmengine - INFO - Epoch(train) [54][940/1879] lr: 1.0000e-02 eta: 1 day, 21:15:42 time: 0.4239 data_time: 0.0147 memory: 17087 grad_norm: 5.0152 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5483 loss: 1.5483 2022/08/03 21:21:21 - mmengine - INFO - Epoch(train) [54][960/1879] lr: 1.0000e-02 eta: 1 day, 21:15:34 time: 0.4280 data_time: 0.0155 memory: 17087 grad_norm: 4.8466 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6830 loss: 1.6830 2022/08/03 21:21:29 - mmengine - INFO - Epoch(train) [54][980/1879] lr: 1.0000e-02 eta: 1 day, 21:15:25 time: 0.4262 data_time: 0.0163 memory: 17087 grad_norm: 4.9185 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6018 loss: 1.6018 2022/08/03 21:21:38 - mmengine - INFO - Epoch(train) [54][1000/1879] lr: 1.0000e-02 eta: 1 day, 21:15:17 time: 0.4284 data_time: 0.0164 memory: 17087 grad_norm: 4.9969 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6899 loss: 1.6899 2022/08/03 21:21:47 - mmengine - INFO - Epoch(train) [54][1020/1879] lr: 1.0000e-02 eta: 1 day, 21:15:08 time: 0.4296 data_time: 0.0156 memory: 17087 grad_norm: 5.0384 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6930 loss: 1.6930 2022/08/03 21:21:55 - mmengine - INFO - Epoch(train) [54][1040/1879] lr: 1.0000e-02 eta: 1 day, 21:15:00 time: 0.4282 data_time: 0.0180 memory: 17087 grad_norm: 5.0075 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2726 loss: 1.2726 2022/08/03 21:22:04 - mmengine - INFO - Epoch(train) [54][1060/1879] lr: 1.0000e-02 eta: 1 day, 21:14:51 time: 0.4252 data_time: 0.0139 memory: 17087 grad_norm: 4.9105 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5859 loss: 1.5859 2022/08/03 21:22:12 - mmengine - INFO - Epoch(train) [54][1080/1879] lr: 1.0000e-02 eta: 1 day, 21:14:42 time: 0.4260 data_time: 0.0146 memory: 17087 grad_norm: 5.0265 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6058 loss: 1.6058 2022/08/03 21:22:21 - mmengine - INFO - Epoch(train) [54][1100/1879] lr: 1.0000e-02 eta: 1 day, 21:14:33 time: 0.4286 data_time: 0.0162 memory: 17087 grad_norm: 5.0083 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5501 loss: 1.5501 2022/08/03 21:22:29 - mmengine - INFO - Epoch(train) [54][1120/1879] lr: 1.0000e-02 eta: 1 day, 21:14:25 time: 0.4249 data_time: 0.0153 memory: 17087 grad_norm: 4.9926 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7066 loss: 1.7066 2022/08/03 21:22:38 - mmengine - INFO - Epoch(train) [54][1140/1879] lr: 1.0000e-02 eta: 1 day, 21:14:16 time: 0.4305 data_time: 0.0164 memory: 17087 grad_norm: 5.0727 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6102 loss: 1.6102 2022/08/03 21:22:47 - mmengine - INFO - Epoch(train) [54][1160/1879] lr: 1.0000e-02 eta: 1 day, 21:14:09 time: 0.4410 data_time: 0.0152 memory: 17087 grad_norm: 4.9099 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5284 loss: 1.5284 2022/08/03 21:22:55 - mmengine - INFO - Epoch(train) [54][1180/1879] lr: 1.0000e-02 eta: 1 day, 21:14:00 time: 0.4273 data_time: 0.0165 memory: 17087 grad_norm: 4.7897 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5650 loss: 1.5650 2022/08/03 21:23:04 - mmengine - INFO - Epoch(train) [54][1200/1879] lr: 1.0000e-02 eta: 1 day, 21:13:52 time: 0.4344 data_time: 0.0185 memory: 17087 grad_norm: 4.8877 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5659 loss: 1.5659 2022/08/03 21:23:12 - mmengine - INFO - Epoch(train) [54][1220/1879] lr: 1.0000e-02 eta: 1 day, 21:13:43 time: 0.4241 data_time: 0.0129 memory: 17087 grad_norm: 4.8870 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4336 loss: 1.4336 2022/08/03 21:23:21 - mmengine - INFO - Epoch(train) [54][1240/1879] lr: 1.0000e-02 eta: 1 day, 21:13:34 time: 0.4260 data_time: 0.0147 memory: 17087 grad_norm: 4.9440 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7021 loss: 1.7021 2022/08/03 21:23:30 - mmengine - INFO - Epoch(train) [54][1260/1879] lr: 1.0000e-02 eta: 1 day, 21:13:26 time: 0.4310 data_time: 0.0164 memory: 17087 grad_norm: 5.1557 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6680 loss: 1.6680 2022/08/03 21:23:38 - mmengine - INFO - Epoch(train) [54][1280/1879] lr: 1.0000e-02 eta: 1 day, 21:13:17 time: 0.4250 data_time: 0.0154 memory: 17087 grad_norm: 4.9947 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6092 loss: 1.6092 2022/08/03 21:23:47 - mmengine - INFO - Epoch(train) [54][1300/1879] lr: 1.0000e-02 eta: 1 day, 21:13:09 time: 0.4338 data_time: 0.0149 memory: 17087 grad_norm: 5.0908 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6276 loss: 1.6276 2022/08/03 21:23:55 - mmengine - INFO - Epoch(train) [54][1320/1879] lr: 1.0000e-02 eta: 1 day, 21:13:00 time: 0.4268 data_time: 0.0158 memory: 17087 grad_norm: 5.1664 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7369 loss: 1.7369 2022/08/03 21:24:04 - mmengine - INFO - Epoch(train) [54][1340/1879] lr: 1.0000e-02 eta: 1 day, 21:12:51 time: 0.4248 data_time: 0.0139 memory: 17087 grad_norm: 5.0052 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5574 loss: 1.5574 2022/08/03 21:24:12 - mmengine - INFO - Epoch(train) [54][1360/1879] lr: 1.0000e-02 eta: 1 day, 21:12:43 time: 0.4258 data_time: 0.0157 memory: 17087 grad_norm: 5.1050 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5590 loss: 1.5590 2022/08/03 21:24:21 - mmengine - INFO - Epoch(train) [54][1380/1879] lr: 1.0000e-02 eta: 1 day, 21:12:35 time: 0.4339 data_time: 0.0173 memory: 17087 grad_norm: 4.9805 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5577 loss: 1.5577 2022/08/03 21:24:30 - mmengine - INFO - Epoch(train) [54][1400/1879] lr: 1.0000e-02 eta: 1 day, 21:12:26 time: 0.4267 data_time: 0.0177 memory: 17087 grad_norm: 5.2373 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8684 loss: 1.8684 2022/08/03 21:24:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 21:24:38 - mmengine - INFO - Epoch(train) [54][1420/1879] lr: 1.0000e-02 eta: 1 day, 21:12:17 time: 0.4258 data_time: 0.0150 memory: 17087 grad_norm: 4.8865 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7113 loss: 1.7113 2022/08/03 21:24:47 - mmengine - INFO - Epoch(train) [54][1440/1879] lr: 1.0000e-02 eta: 1 day, 21:12:09 time: 0.4271 data_time: 0.0159 memory: 17087 grad_norm: 4.8947 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4994 loss: 1.4994 2022/08/03 21:24:55 - mmengine - INFO - Epoch(train) [54][1460/1879] lr: 1.0000e-02 eta: 1 day, 21:12:00 time: 0.4254 data_time: 0.0148 memory: 17087 grad_norm: 4.9178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5724 loss: 1.5724 2022/08/03 21:25:04 - mmengine - INFO - Epoch(train) [54][1480/1879] lr: 1.0000e-02 eta: 1 day, 21:11:51 time: 0.4256 data_time: 0.0160 memory: 17087 grad_norm: 4.8911 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5773 loss: 1.5773 2022/08/03 21:25:12 - mmengine - INFO - Epoch(train) [54][1500/1879] lr: 1.0000e-02 eta: 1 day, 21:11:42 time: 0.4248 data_time: 0.0160 memory: 17087 grad_norm: 5.0593 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5769 loss: 1.5769 2022/08/03 21:25:21 - mmengine - INFO - Epoch(train) [54][1520/1879] lr: 1.0000e-02 eta: 1 day, 21:11:33 time: 0.4262 data_time: 0.0158 memory: 17087 grad_norm: 4.9665 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6108 loss: 1.6108 2022/08/03 21:25:29 - mmengine - INFO - Epoch(train) [54][1540/1879] lr: 1.0000e-02 eta: 1 day, 21:11:25 time: 0.4271 data_time: 0.0149 memory: 17087 grad_norm: 4.9359 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6390 loss: 1.6390 2022/08/03 21:25:38 - mmengine - INFO - Epoch(train) [54][1560/1879] lr: 1.0000e-02 eta: 1 day, 21:11:16 time: 0.4264 data_time: 0.0165 memory: 17087 grad_norm: 4.9923 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4345 loss: 1.4345 2022/08/03 21:25:46 - mmengine - INFO - Epoch(train) [54][1580/1879] lr: 1.0000e-02 eta: 1 day, 21:11:07 time: 0.4270 data_time: 0.0155 memory: 17087 grad_norm: 4.9784 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6772 loss: 1.6772 2022/08/03 21:25:55 - mmengine - INFO - Epoch(train) [54][1600/1879] lr: 1.0000e-02 eta: 1 day, 21:10:59 time: 0.4263 data_time: 0.0167 memory: 17087 grad_norm: 4.9830 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6097 loss: 1.6097 2022/08/03 21:26:03 - mmengine - INFO - Epoch(train) [54][1620/1879] lr: 1.0000e-02 eta: 1 day, 21:10:50 time: 0.4267 data_time: 0.0157 memory: 17087 grad_norm: 5.0043 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6250 loss: 1.6250 2022/08/03 21:26:12 - mmengine - INFO - Epoch(train) [54][1640/1879] lr: 1.0000e-02 eta: 1 day, 21:10:43 time: 0.4429 data_time: 0.0153 memory: 17087 grad_norm: 5.1231 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6714 loss: 1.6714 2022/08/03 21:26:21 - mmengine - INFO - Epoch(train) [54][1660/1879] lr: 1.0000e-02 eta: 1 day, 21:10:34 time: 0.4249 data_time: 0.0156 memory: 17087 grad_norm: 4.9338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5075 loss: 1.5075 2022/08/03 21:26:29 - mmengine - INFO - Epoch(train) [54][1680/1879] lr: 1.0000e-02 eta: 1 day, 21:10:25 time: 0.4267 data_time: 0.0150 memory: 17087 grad_norm: 5.0500 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6468 loss: 1.6468 2022/08/03 21:26:38 - mmengine - INFO - Epoch(train) [54][1700/1879] lr: 1.0000e-02 eta: 1 day, 21:10:16 time: 0.4260 data_time: 0.0156 memory: 17087 grad_norm: 5.0499 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7920 loss: 1.7920 2022/08/03 21:26:47 - mmengine - INFO - Epoch(train) [54][1720/1879] lr: 1.0000e-02 eta: 1 day, 21:10:10 time: 0.4537 data_time: 0.0259 memory: 17087 grad_norm: 5.0403 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5238 loss: 1.5238 2022/08/03 21:26:56 - mmengine - INFO - Epoch(train) [54][1740/1879] lr: 1.0000e-02 eta: 1 day, 21:10:01 time: 0.4292 data_time: 0.0194 memory: 17087 grad_norm: 4.9071 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6826 loss: 1.6826 2022/08/03 21:27:04 - mmengine - INFO - Epoch(train) [54][1760/1879] lr: 1.0000e-02 eta: 1 day, 21:09:53 time: 0.4270 data_time: 0.0160 memory: 17087 grad_norm: 4.9256 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6480 loss: 1.6480 2022/08/03 21:27:13 - mmengine - INFO - Epoch(train) [54][1780/1879] lr: 1.0000e-02 eta: 1 day, 21:09:44 time: 0.4264 data_time: 0.0142 memory: 17087 grad_norm: 5.0555 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7079 loss: 1.7079 2022/08/03 21:27:21 - mmengine - INFO - Epoch(train) [54][1800/1879] lr: 1.0000e-02 eta: 1 day, 21:09:35 time: 0.4271 data_time: 0.0170 memory: 17087 grad_norm: 4.9357 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4705 loss: 1.4705 2022/08/03 21:27:30 - mmengine - INFO - Epoch(train) [54][1820/1879] lr: 1.0000e-02 eta: 1 day, 21:09:27 time: 0.4392 data_time: 0.0156 memory: 17087 grad_norm: 4.9004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5346 loss: 1.5346 2022/08/03 21:27:39 - mmengine - INFO - Epoch(train) [54][1840/1879] lr: 1.0000e-02 eta: 1 day, 21:09:19 time: 0.4263 data_time: 0.0183 memory: 17087 grad_norm: 5.0510 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5620 loss: 1.5620 2022/08/03 21:27:47 - mmengine - INFO - Epoch(train) [54][1860/1879] lr: 1.0000e-02 eta: 1 day, 21:09:12 time: 0.4462 data_time: 0.0176 memory: 17087 grad_norm: 4.9384 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7237 loss: 1.7237 2022/08/03 21:27:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 21:27:55 - mmengine - INFO - Epoch(train) [54][1879/1879] lr: 1.0000e-02 eta: 1 day, 21:09:12 time: 0.4070 data_time: 0.0163 memory: 17087 grad_norm: 5.2557 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.5307 loss: 1.5307 2022/08/03 21:28:07 - mmengine - INFO - Epoch(train) [55][20/1879] lr: 1.0000e-02 eta: 1 day, 21:08:35 time: 0.5674 data_time: 0.1145 memory: 17087 grad_norm: 4.9343 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5883 loss: 1.5883 2022/08/03 21:28:15 - mmengine - INFO - Epoch(train) [55][40/1879] lr: 1.0000e-02 eta: 1 day, 21:08:26 time: 0.4261 data_time: 0.0157 memory: 17087 grad_norm: 4.7910 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3986 loss: 1.3986 2022/08/03 21:28:24 - mmengine - INFO - Epoch(train) [55][60/1879] lr: 1.0000e-02 eta: 1 day, 21:08:17 time: 0.4240 data_time: 0.0156 memory: 17087 grad_norm: 4.7851 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6402 loss: 1.6402 2022/08/03 21:28:33 - mmengine - INFO - Epoch(train) [55][80/1879] lr: 1.0000e-02 eta: 1 day, 21:08:10 time: 0.4469 data_time: 0.0168 memory: 17087 grad_norm: 4.9332 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3756 loss: 1.3756 2022/08/03 21:28:41 - mmengine - INFO - Epoch(train) [55][100/1879] lr: 1.0000e-02 eta: 1 day, 21:08:02 time: 0.4291 data_time: 0.0195 memory: 17087 grad_norm: 4.8391 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4684 loss: 1.4684 2022/08/03 21:28:50 - mmengine - INFO - Epoch(train) [55][120/1879] lr: 1.0000e-02 eta: 1 day, 21:07:54 time: 0.4447 data_time: 0.0174 memory: 17087 grad_norm: 5.0188 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5289 loss: 1.5289 2022/08/03 21:28:59 - mmengine - INFO - Epoch(train) [55][140/1879] lr: 1.0000e-02 eta: 1 day, 21:07:46 time: 0.4287 data_time: 0.0188 memory: 17087 grad_norm: 5.0955 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6330 loss: 1.6330 2022/08/03 21:29:08 - mmengine - INFO - Epoch(train) [55][160/1879] lr: 1.0000e-02 eta: 1 day, 21:07:38 time: 0.4425 data_time: 0.0166 memory: 17087 grad_norm: 5.0435 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5526 loss: 1.5526 2022/08/03 21:29:16 - mmengine - INFO - Epoch(train) [55][180/1879] lr: 1.0000e-02 eta: 1 day, 21:07:30 time: 0.4283 data_time: 0.0201 memory: 17087 grad_norm: 4.9672 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4693 loss: 1.4693 2022/08/03 21:29:25 - mmengine - INFO - Epoch(train) [55][200/1879] lr: 1.0000e-02 eta: 1 day, 21:07:22 time: 0.4416 data_time: 0.0155 memory: 17087 grad_norm: 4.9066 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7215 loss: 1.7215 2022/08/03 21:29:33 - mmengine - INFO - Epoch(train) [55][220/1879] lr: 1.0000e-02 eta: 1 day, 21:07:13 time: 0.4237 data_time: 0.0147 memory: 17087 grad_norm: 4.9653 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4074 loss: 1.4074 2022/08/03 21:29:42 - mmengine - INFO - Epoch(train) [55][240/1879] lr: 1.0000e-02 eta: 1 day, 21:07:06 time: 0.4416 data_time: 0.0202 memory: 17087 grad_norm: 5.0640 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6248 loss: 1.6248 2022/08/03 21:29:51 - mmengine - INFO - Epoch(train) [55][260/1879] lr: 1.0000e-02 eta: 1 day, 21:06:57 time: 0.4250 data_time: 0.0138 memory: 17087 grad_norm: 4.8906 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5903 loss: 1.5903 2022/08/03 21:29:59 - mmengine - INFO - Epoch(train) [55][280/1879] lr: 1.0000e-02 eta: 1 day, 21:06:48 time: 0.4314 data_time: 0.0171 memory: 17087 grad_norm: 4.8991 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7471 loss: 1.7471 2022/08/03 21:30:08 - mmengine - INFO - Epoch(train) [55][300/1879] lr: 1.0000e-02 eta: 1 day, 21:06:40 time: 0.4254 data_time: 0.0135 memory: 17087 grad_norm: 4.8392 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6216 loss: 1.6216 2022/08/03 21:30:17 - mmengine - INFO - Epoch(train) [55][320/1879] lr: 1.0000e-02 eta: 1 day, 21:06:32 time: 0.4431 data_time: 0.0178 memory: 17087 grad_norm: 4.7945 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5651 loss: 1.5651 2022/08/03 21:30:25 - mmengine - INFO - Epoch(train) [55][340/1879] lr: 1.0000e-02 eta: 1 day, 21:06:24 time: 0.4310 data_time: 0.0192 memory: 17087 grad_norm: 4.9138 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5937 loss: 1.5937 2022/08/03 21:30:34 - mmengine - INFO - Epoch(train) [55][360/1879] lr: 1.0000e-02 eta: 1 day, 21:06:15 time: 0.4244 data_time: 0.0148 memory: 17087 grad_norm: 4.8386 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3795 loss: 1.3795 2022/08/03 21:30:43 - mmengine - INFO - Epoch(train) [55][380/1879] lr: 1.0000e-02 eta: 1 day, 21:06:08 time: 0.4438 data_time: 0.0161 memory: 17087 grad_norm: 5.1475 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6297 loss: 1.6297 2022/08/03 21:30:51 - mmengine - INFO - Epoch(train) [55][400/1879] lr: 1.0000e-02 eta: 1 day, 21:05:59 time: 0.4273 data_time: 0.0165 memory: 17087 grad_norm: 5.0474 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.6562 loss: 1.6562 2022/08/03 21:31:00 - mmengine - INFO - Epoch(train) [55][420/1879] lr: 1.0000e-02 eta: 1 day, 21:05:51 time: 0.4351 data_time: 0.0170 memory: 17087 grad_norm: 5.0889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4731 loss: 1.4731 2022/08/03 21:31:09 - mmengine - INFO - Epoch(train) [55][440/1879] lr: 1.0000e-02 eta: 1 day, 21:05:42 time: 0.4262 data_time: 0.0150 memory: 17087 grad_norm: 5.0998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5593 loss: 1.5593 2022/08/03 21:31:17 - mmengine - INFO - Epoch(train) [55][460/1879] lr: 1.0000e-02 eta: 1 day, 21:05:33 time: 0.4257 data_time: 0.0152 memory: 17087 grad_norm: 5.0126 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7456 loss: 1.7456 2022/08/03 21:31:26 - mmengine - INFO - Epoch(train) [55][480/1879] lr: 1.0000e-02 eta: 1 day, 21:05:25 time: 0.4254 data_time: 0.0156 memory: 17087 grad_norm: 4.9651 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4701 loss: 1.4701 2022/08/03 21:31:34 - mmengine - INFO - Epoch(train) [55][500/1879] lr: 1.0000e-02 eta: 1 day, 21:05:16 time: 0.4242 data_time: 0.0150 memory: 17087 grad_norm: 5.1408 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5408 loss: 1.5408 2022/08/03 21:31:43 - mmengine - INFO - Epoch(train) [55][520/1879] lr: 1.0000e-02 eta: 1 day, 21:05:07 time: 0.4254 data_time: 0.0148 memory: 17087 grad_norm: 5.1194 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7256 loss: 1.7256 2022/08/03 21:31:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 21:31:51 - mmengine - INFO - Epoch(train) [55][540/1879] lr: 1.0000e-02 eta: 1 day, 21:04:59 time: 0.4377 data_time: 0.0152 memory: 17087 grad_norm: 5.0621 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6456 loss: 1.6456 2022/08/03 21:32:00 - mmengine - INFO - Epoch(train) [55][560/1879] lr: 1.0000e-02 eta: 1 day, 21:04:50 time: 0.4254 data_time: 0.0147 memory: 17087 grad_norm: 4.8764 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6357 loss: 1.6357 2022/08/03 21:32:09 - mmengine - INFO - Epoch(train) [55][580/1879] lr: 1.0000e-02 eta: 1 day, 21:04:42 time: 0.4313 data_time: 0.0218 memory: 17087 grad_norm: 4.8932 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5232 loss: 1.5232 2022/08/03 21:32:17 - mmengine - INFO - Epoch(train) [55][600/1879] lr: 1.0000e-02 eta: 1 day, 21:04:34 time: 0.4277 data_time: 0.0151 memory: 17087 grad_norm: 5.0659 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5942 loss: 1.5942 2022/08/03 21:32:26 - mmengine - INFO - Epoch(train) [55][620/1879] lr: 1.0000e-02 eta: 1 day, 21:04:25 time: 0.4278 data_time: 0.0146 memory: 17087 grad_norm: 5.0977 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6048 loss: 1.6048 2022/08/03 21:32:34 - mmengine - INFO - Epoch(train) [55][640/1879] lr: 1.0000e-02 eta: 1 day, 21:04:16 time: 0.4256 data_time: 0.0163 memory: 17087 grad_norm: 5.0716 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6609 loss: 1.6609 2022/08/03 21:32:43 - mmengine - INFO - Epoch(train) [55][660/1879] lr: 1.0000e-02 eta: 1 day, 21:04:08 time: 0.4273 data_time: 0.0136 memory: 17087 grad_norm: 4.8763 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5817 loss: 1.5817 2022/08/03 21:32:51 - mmengine - INFO - Epoch(train) [55][680/1879] lr: 1.0000e-02 eta: 1 day, 21:03:59 time: 0.4300 data_time: 0.0170 memory: 17087 grad_norm: 4.7678 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6587 loss: 1.6587 2022/08/03 21:33:00 - mmengine - INFO - Epoch(train) [55][700/1879] lr: 1.0000e-02 eta: 1 day, 21:03:50 time: 0.4264 data_time: 0.0176 memory: 17087 grad_norm: 4.9640 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5955 loss: 1.5955 2022/08/03 21:33:09 - mmengine - INFO - Epoch(train) [55][720/1879] lr: 1.0000e-02 eta: 1 day, 21:03:43 time: 0.4426 data_time: 0.0145 memory: 17087 grad_norm: 5.0730 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.8120 loss: 1.8120 2022/08/03 21:33:17 - mmengine - INFO - Epoch(train) [55][740/1879] lr: 1.0000e-02 eta: 1 day, 21:03:34 time: 0.4267 data_time: 0.0146 memory: 17087 grad_norm: 4.9245 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5426 loss: 1.5426 2022/08/03 21:33:26 - mmengine - INFO - Epoch(train) [55][760/1879] lr: 1.0000e-02 eta: 1 day, 21:03:26 time: 0.4278 data_time: 0.0164 memory: 17087 grad_norm: 5.1156 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5821 loss: 1.5821 2022/08/03 21:33:34 - mmengine - INFO - Epoch(train) [55][780/1879] lr: 1.0000e-02 eta: 1 day, 21:03:17 time: 0.4244 data_time: 0.0139 memory: 17087 grad_norm: 5.0172 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5600 loss: 1.5600 2022/08/03 21:33:43 - mmengine - INFO - Epoch(train) [55][800/1879] lr: 1.0000e-02 eta: 1 day, 21:03:08 time: 0.4260 data_time: 0.0151 memory: 17087 grad_norm: 5.0878 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5220 loss: 1.5220 2022/08/03 21:33:52 - mmengine - INFO - Epoch(train) [55][820/1879] lr: 1.0000e-02 eta: 1 day, 21:03:00 time: 0.4316 data_time: 0.0154 memory: 17087 grad_norm: 5.1230 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6583 loss: 1.6583 2022/08/03 21:34:00 - mmengine - INFO - Epoch(train) [55][840/1879] lr: 1.0000e-02 eta: 1 day, 21:02:51 time: 0.4266 data_time: 0.0154 memory: 17087 grad_norm: 5.1073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7410 loss: 1.7410 2022/08/03 21:34:09 - mmengine - INFO - Epoch(train) [55][860/1879] lr: 1.0000e-02 eta: 1 day, 21:02:43 time: 0.4364 data_time: 0.0152 memory: 17087 grad_norm: 4.9511 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7143 loss: 1.7143 2022/08/03 21:34:17 - mmengine - INFO - Epoch(train) [55][880/1879] lr: 1.0000e-02 eta: 1 day, 21:02:35 time: 0.4295 data_time: 0.0144 memory: 17087 grad_norm: 4.9412 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4421 loss: 1.4421 2022/08/03 21:34:26 - mmengine - INFO - Epoch(train) [55][900/1879] lr: 1.0000e-02 eta: 1 day, 21:02:27 time: 0.4425 data_time: 0.0145 memory: 17087 grad_norm: 5.0559 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7556 loss: 1.7556 2022/08/03 21:34:35 - mmengine - INFO - Epoch(train) [55][920/1879] lr: 1.0000e-02 eta: 1 day, 21:02:18 time: 0.4252 data_time: 0.0156 memory: 17087 grad_norm: 4.9201 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5830 loss: 1.5830 2022/08/03 21:34:43 - mmengine - INFO - Epoch(train) [55][940/1879] lr: 1.0000e-02 eta: 1 day, 21:02:09 time: 0.4243 data_time: 0.0142 memory: 17087 grad_norm: 5.0532 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5513 loss: 1.5513 2022/08/03 21:34:52 - mmengine - INFO - Epoch(train) [55][960/1879] lr: 1.0000e-02 eta: 1 day, 21:02:02 time: 0.4391 data_time: 0.0161 memory: 17087 grad_norm: 5.1340 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6470 loss: 1.6470 2022/08/03 21:35:01 - mmengine - INFO - Epoch(train) [55][980/1879] lr: 1.0000e-02 eta: 1 day, 21:01:53 time: 0.4252 data_time: 0.0149 memory: 17087 grad_norm: 4.8679 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6331 loss: 1.6331 2022/08/03 21:35:09 - mmengine - INFO - Epoch(train) [55][1000/1879] lr: 1.0000e-02 eta: 1 day, 21:01:46 time: 0.4472 data_time: 0.0164 memory: 17087 grad_norm: 5.1475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5191 loss: 1.5191 2022/08/03 21:35:18 - mmengine - INFO - Epoch(train) [55][1020/1879] lr: 1.0000e-02 eta: 1 day, 21:01:37 time: 0.4253 data_time: 0.0150 memory: 17087 grad_norm: 5.0705 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.5691 loss: 1.5691 2022/08/03 21:35:27 - mmengine - INFO - Epoch(train) [55][1040/1879] lr: 1.0000e-02 eta: 1 day, 21:01:29 time: 0.4353 data_time: 0.0164 memory: 17087 grad_norm: 5.1544 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6930 loss: 1.6930 2022/08/03 21:35:35 - mmengine - INFO - Epoch(train) [55][1060/1879] lr: 1.0000e-02 eta: 1 day, 21:01:20 time: 0.4254 data_time: 0.0143 memory: 17087 grad_norm: 5.0316 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7559 loss: 1.7559 2022/08/03 21:35:44 - mmengine - INFO - Epoch(train) [55][1080/1879] lr: 1.0000e-02 eta: 1 day, 21:01:11 time: 0.4253 data_time: 0.0163 memory: 17087 grad_norm: 5.0473 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6783 loss: 1.6783 2022/08/03 21:35:52 - mmengine - INFO - Epoch(train) [55][1100/1879] lr: 1.0000e-02 eta: 1 day, 21:01:03 time: 0.4285 data_time: 0.0168 memory: 17087 grad_norm: 5.0804 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7828 loss: 1.7828 2022/08/03 21:36:01 - mmengine - INFO - Epoch(train) [55][1120/1879] lr: 1.0000e-02 eta: 1 day, 21:00:54 time: 0.4297 data_time: 0.0159 memory: 17087 grad_norm: 4.9133 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6975 loss: 1.6975 2022/08/03 21:36:10 - mmengine - INFO - Epoch(train) [55][1140/1879] lr: 1.0000e-02 eta: 1 day, 21:00:47 time: 0.4484 data_time: 0.0160 memory: 17087 grad_norm: 4.9045 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4737 loss: 1.4737 2022/08/03 21:36:18 - mmengine - INFO - Epoch(train) [55][1160/1879] lr: 1.0000e-02 eta: 1 day, 21:00:39 time: 0.4274 data_time: 0.0174 memory: 17087 grad_norm: 4.9736 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6545 loss: 1.6545 2022/08/03 21:36:27 - mmengine - INFO - Epoch(train) [55][1180/1879] lr: 1.0000e-02 eta: 1 day, 21:00:30 time: 0.4301 data_time: 0.0152 memory: 17087 grad_norm: 4.9571 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6673 loss: 1.6673 2022/08/03 21:36:36 - mmengine - INFO - Epoch(train) [55][1200/1879] lr: 1.0000e-02 eta: 1 day, 21:00:22 time: 0.4267 data_time: 0.0169 memory: 17087 grad_norm: 4.9777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3618 loss: 1.3618 2022/08/03 21:36:44 - mmengine - INFO - Epoch(train) [55][1220/1879] lr: 1.0000e-02 eta: 1 day, 21:00:13 time: 0.4250 data_time: 0.0152 memory: 17087 grad_norm: 4.8880 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6650 loss: 1.6650 2022/08/03 21:36:53 - mmengine - INFO - Epoch(train) [55][1240/1879] lr: 1.0000e-02 eta: 1 day, 21:00:05 time: 0.4443 data_time: 0.0164 memory: 17087 grad_norm: 5.1283 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5534 loss: 1.5534 2022/08/03 21:37:02 - mmengine - INFO - Epoch(train) [55][1260/1879] lr: 1.0000e-02 eta: 1 day, 20:59:57 time: 0.4260 data_time: 0.0156 memory: 17087 grad_norm: 5.0065 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5610 loss: 1.5610 2022/08/03 21:37:10 - mmengine - INFO - Epoch(train) [55][1280/1879] lr: 1.0000e-02 eta: 1 day, 20:59:49 time: 0.4441 data_time: 0.0173 memory: 17087 grad_norm: 4.9830 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8001 loss: 1.8001 2022/08/03 21:37:19 - mmengine - INFO - Epoch(train) [55][1300/1879] lr: 1.0000e-02 eta: 1 day, 20:59:41 time: 0.4252 data_time: 0.0159 memory: 17087 grad_norm: 4.9494 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6045 loss: 1.6045 2022/08/03 21:37:28 - mmengine - INFO - Epoch(train) [55][1320/1879] lr: 1.0000e-02 eta: 1 day, 20:59:32 time: 0.4332 data_time: 0.0153 memory: 17087 grad_norm: 5.0536 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6216 loss: 1.6216 2022/08/03 21:37:36 - mmengine - INFO - Epoch(train) [55][1340/1879] lr: 1.0000e-02 eta: 1 day, 20:59:24 time: 0.4248 data_time: 0.0144 memory: 17087 grad_norm: 4.9448 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4215 loss: 1.4215 2022/08/03 21:37:45 - mmengine - INFO - Epoch(train) [55][1360/1879] lr: 1.0000e-02 eta: 1 day, 20:59:15 time: 0.4252 data_time: 0.0159 memory: 17087 grad_norm: 5.0586 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5290 loss: 1.5290 2022/08/03 21:37:53 - mmengine - INFO - Epoch(train) [55][1380/1879] lr: 1.0000e-02 eta: 1 day, 20:59:07 time: 0.4424 data_time: 0.0135 memory: 17087 grad_norm: 4.8817 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6344 loss: 1.6344 2022/08/03 21:38:02 - mmengine - INFO - Epoch(train) [55][1400/1879] lr: 1.0000e-02 eta: 1 day, 20:58:59 time: 0.4330 data_time: 0.0166 memory: 17087 grad_norm: 5.0035 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3326 loss: 1.3326 2022/08/03 21:38:11 - mmengine - INFO - Epoch(train) [55][1420/1879] lr: 1.0000e-02 eta: 1 day, 20:58:50 time: 0.4245 data_time: 0.0141 memory: 17087 grad_norm: 5.1209 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5537 loss: 1.5537 2022/08/03 21:38:19 - mmengine - INFO - Epoch(train) [55][1440/1879] lr: 1.0000e-02 eta: 1 day, 20:58:42 time: 0.4325 data_time: 0.0206 memory: 17087 grad_norm: 4.9431 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3366 loss: 1.3366 2022/08/03 21:38:28 - mmengine - INFO - Epoch(train) [55][1460/1879] lr: 1.0000e-02 eta: 1 day, 20:58:33 time: 0.4252 data_time: 0.0148 memory: 17087 grad_norm: 5.0225 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5027 loss: 1.5027 2022/08/03 21:38:37 - mmengine - INFO - Epoch(train) [55][1480/1879] lr: 1.0000e-02 eta: 1 day, 20:58:25 time: 0.4375 data_time: 0.0174 memory: 17087 grad_norm: 4.9730 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4958 loss: 1.4958 2022/08/03 21:38:45 - mmengine - INFO - Epoch(train) [55][1500/1879] lr: 1.0000e-02 eta: 1 day, 20:58:16 time: 0.4231 data_time: 0.0124 memory: 17087 grad_norm: 4.8970 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6940 loss: 1.6940 2022/08/03 21:38:54 - mmengine - INFO - Epoch(train) [55][1520/1879] lr: 1.0000e-02 eta: 1 day, 20:58:08 time: 0.4293 data_time: 0.0198 memory: 17087 grad_norm: 5.0070 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6379 loss: 1.6379 2022/08/03 21:39:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 21:39:02 - mmengine - INFO - Epoch(train) [55][1540/1879] lr: 1.0000e-02 eta: 1 day, 20:57:59 time: 0.4234 data_time: 0.0150 memory: 17087 grad_norm: 4.9658 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5694 loss: 1.5694 2022/08/03 21:39:11 - mmengine - INFO - Epoch(train) [55][1560/1879] lr: 1.0000e-02 eta: 1 day, 20:57:50 time: 0.4275 data_time: 0.0156 memory: 17087 grad_norm: 4.9915 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4734 loss: 1.4734 2022/08/03 21:39:19 - mmengine - INFO - Epoch(train) [55][1580/1879] lr: 1.0000e-02 eta: 1 day, 20:57:42 time: 0.4315 data_time: 0.0180 memory: 17087 grad_norm: 5.0340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6820 loss: 1.6820 2022/08/03 21:39:28 - mmengine - INFO - Epoch(train) [55][1600/1879] lr: 1.0000e-02 eta: 1 day, 20:57:33 time: 0.4261 data_time: 0.0150 memory: 17087 grad_norm: 4.8197 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6420 loss: 1.6420 2022/08/03 21:39:36 - mmengine - INFO - Epoch(train) [55][1620/1879] lr: 1.0000e-02 eta: 1 day, 20:57:25 time: 0.4308 data_time: 0.0186 memory: 17087 grad_norm: 4.8108 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6657 loss: 1.6657 2022/08/03 21:39:45 - mmengine - INFO - Epoch(train) [55][1640/1879] lr: 1.0000e-02 eta: 1 day, 20:57:16 time: 0.4251 data_time: 0.0154 memory: 17087 grad_norm: 5.0004 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5289 loss: 1.5289 2022/08/03 21:39:53 - mmengine - INFO - Epoch(train) [55][1660/1879] lr: 1.0000e-02 eta: 1 day, 20:57:07 time: 0.4247 data_time: 0.0140 memory: 17087 grad_norm: 4.9491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6127 loss: 1.6127 2022/08/03 21:40:02 - mmengine - INFO - Epoch(train) [55][1680/1879] lr: 1.0000e-02 eta: 1 day, 20:56:59 time: 0.4308 data_time: 0.0158 memory: 17087 grad_norm: 4.9843 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7308 loss: 1.7308 2022/08/03 21:40:11 - mmengine - INFO - Epoch(train) [55][1700/1879] lr: 1.0000e-02 eta: 1 day, 20:56:50 time: 0.4230 data_time: 0.0149 memory: 17087 grad_norm: 5.0426 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6985 loss: 1.6985 2022/08/03 21:40:19 - mmengine - INFO - Epoch(train) [55][1720/1879] lr: 1.0000e-02 eta: 1 day, 20:56:42 time: 0.4325 data_time: 0.0159 memory: 17087 grad_norm: 4.8337 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6245 loss: 1.6245 2022/08/03 21:40:28 - mmengine - INFO - Epoch(train) [55][1740/1879] lr: 1.0000e-02 eta: 1 day, 20:56:33 time: 0.4246 data_time: 0.0146 memory: 17087 grad_norm: 5.0534 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6906 loss: 1.6906 2022/08/03 21:40:36 - mmengine - INFO - Epoch(train) [55][1760/1879] lr: 1.0000e-02 eta: 1 day, 20:56:24 time: 0.4285 data_time: 0.0168 memory: 17087 grad_norm: 5.0887 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6034 loss: 1.6034 2022/08/03 21:40:45 - mmengine - INFO - Epoch(train) [55][1780/1879] lr: 1.0000e-02 eta: 1 day, 20:56:16 time: 0.4261 data_time: 0.0143 memory: 17087 grad_norm: 5.0501 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3906 loss: 1.3906 2022/08/03 21:40:53 - mmengine - INFO - Epoch(train) [55][1800/1879] lr: 1.0000e-02 eta: 1 day, 20:56:07 time: 0.4277 data_time: 0.0175 memory: 17087 grad_norm: 4.8770 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3643 loss: 1.3643 2022/08/03 21:41:02 - mmengine - INFO - Epoch(train) [55][1820/1879] lr: 1.0000e-02 eta: 1 day, 20:55:58 time: 0.4236 data_time: 0.0148 memory: 17087 grad_norm: 4.8938 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4937 loss: 1.4937 2022/08/03 21:41:10 - mmengine - INFO - Epoch(train) [55][1840/1879] lr: 1.0000e-02 eta: 1 day, 20:55:49 time: 0.4262 data_time: 0.0161 memory: 17087 grad_norm: 5.0990 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5102 loss: 1.5102 2022/08/03 21:41:19 - mmengine - INFO - Epoch(train) [55][1860/1879] lr: 1.0000e-02 eta: 1 day, 20:55:41 time: 0.4288 data_time: 0.0165 memory: 17087 grad_norm: 5.0084 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5518 loss: 1.5518 2022/08/03 21:41:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 21:41:27 - mmengine - INFO - Epoch(train) [55][1879/1879] lr: 1.0000e-02 eta: 1 day, 20:55:41 time: 0.4052 data_time: 0.0143 memory: 17087 grad_norm: 5.1550 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4137 loss: 1.4137 2022/08/03 21:41:34 - mmengine - INFO - Epoch(val) [55][20/155] eta: 0:00:49 time: 0.3694 data_time: 0.1993 memory: 2821 2022/08/03 21:41:39 - mmengine - INFO - Epoch(val) [55][40/155] eta: 0:00:28 time: 0.2494 data_time: 0.0809 memory: 2821 2022/08/03 21:41:45 - mmengine - INFO - Epoch(val) [55][60/155] eta: 0:00:29 time: 0.3075 data_time: 0.1394 memory: 2821 2022/08/03 21:41:50 - mmengine - INFO - Epoch(val) [55][80/155] eta: 0:00:19 time: 0.2606 data_time: 0.0851 memory: 2821 2022/08/03 21:41:57 - mmengine - INFO - Epoch(val) [55][100/155] eta: 0:00:17 time: 0.3192 data_time: 0.1494 memory: 2821 2022/08/03 21:42:03 - mmengine - INFO - Epoch(val) [55][120/155] eta: 0:00:09 time: 0.2855 data_time: 0.1179 memory: 2821 2022/08/03 21:42:09 - mmengine - INFO - Epoch(val) [55][140/155] eta: 0:00:04 time: 0.3298 data_time: 0.1614 memory: 2821 2022/08/03 21:42:14 - mmengine - INFO - Epoch(val) [55][155/155] acc/top1: 0.6496 acc/top5: 0.8590 acc/mean1: 0.6495 2022/08/03 21:42:25 - mmengine - INFO - Epoch(train) [56][20/1879] lr: 1.0000e-02 eta: 1 day, 20:55:03 time: 0.5437 data_time: 0.1091 memory: 17087 grad_norm: 4.8648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5735 loss: 1.5735 2022/08/03 21:42:34 - mmengine - INFO - Epoch(train) [56][40/1879] lr: 1.0000e-02 eta: 1 day, 20:54:54 time: 0.4310 data_time: 0.0202 memory: 17087 grad_norm: 4.8339 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6160 loss: 1.6160 2022/08/03 21:42:43 - mmengine - INFO - Epoch(train) [56][60/1879] lr: 1.0000e-02 eta: 1 day, 20:54:47 time: 0.4426 data_time: 0.0182 memory: 17087 grad_norm: 4.8486 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4740 loss: 1.4740 2022/08/03 21:42:51 - mmengine - INFO - Epoch(train) [56][80/1879] lr: 1.0000e-02 eta: 1 day, 20:54:39 time: 0.4303 data_time: 0.0198 memory: 17087 grad_norm: 4.9917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6282 loss: 1.6282 2022/08/03 21:43:00 - mmengine - INFO - Epoch(train) [56][100/1879] lr: 1.0000e-02 eta: 1 day, 20:54:31 time: 0.4420 data_time: 0.0175 memory: 17087 grad_norm: 5.0114 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5921 loss: 1.5921 2022/08/03 21:43:09 - mmengine - INFO - Epoch(train) [56][120/1879] lr: 1.0000e-02 eta: 1 day, 20:54:23 time: 0.4294 data_time: 0.0198 memory: 17087 grad_norm: 5.0583 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5388 loss: 1.5388 2022/08/03 21:43:18 - mmengine - INFO - Epoch(train) [56][140/1879] lr: 1.0000e-02 eta: 1 day, 20:54:15 time: 0.4390 data_time: 0.0165 memory: 17087 grad_norm: 4.9850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6778 loss: 1.6778 2022/08/03 21:43:26 - mmengine - INFO - Epoch(train) [56][160/1879] lr: 1.0000e-02 eta: 1 day, 20:54:07 time: 0.4331 data_time: 0.0217 memory: 17087 grad_norm: 5.0116 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5104 loss: 1.5104 2022/08/03 21:43:35 - mmengine - INFO - Epoch(train) [56][180/1879] lr: 1.0000e-02 eta: 1 day, 20:53:58 time: 0.4249 data_time: 0.0136 memory: 17087 grad_norm: 5.0195 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5714 loss: 1.5714 2022/08/03 21:43:44 - mmengine - INFO - Epoch(train) [56][200/1879] lr: 1.0000e-02 eta: 1 day, 20:53:51 time: 0.4582 data_time: 0.0159 memory: 17087 grad_norm: 5.0656 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6547 loss: 1.6547 2022/08/03 21:43:52 - mmengine - INFO - Epoch(train) [56][220/1879] lr: 1.0000e-02 eta: 1 day, 20:53:43 time: 0.4253 data_time: 0.0168 memory: 17087 grad_norm: 5.0614 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5159 loss: 1.5159 2022/08/03 21:44:01 - mmengine - INFO - Epoch(train) [56][240/1879] lr: 1.0000e-02 eta: 1 day, 20:53:34 time: 0.4310 data_time: 0.0170 memory: 17087 grad_norm: 4.9107 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5063 loss: 1.5063 2022/08/03 21:44:10 - mmengine - INFO - Epoch(train) [56][260/1879] lr: 1.0000e-02 eta: 1 day, 20:53:25 time: 0.4250 data_time: 0.0168 memory: 17087 grad_norm: 5.0652 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4300 loss: 1.4300 2022/08/03 21:44:18 - mmengine - INFO - Epoch(train) [56][280/1879] lr: 1.0000e-02 eta: 1 day, 20:53:18 time: 0.4451 data_time: 0.0173 memory: 17087 grad_norm: 4.9838 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5631 loss: 1.5631 2022/08/03 21:44:27 - mmengine - INFO - Epoch(train) [56][300/1879] lr: 1.0000e-02 eta: 1 day, 20:53:10 time: 0.4294 data_time: 0.0184 memory: 17087 grad_norm: 5.0285 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6712 loss: 1.6712 2022/08/03 21:44:36 - mmengine - INFO - Epoch(train) [56][320/1879] lr: 1.0000e-02 eta: 1 day, 20:53:01 time: 0.4251 data_time: 0.0144 memory: 17087 grad_norm: 4.8893 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6028 loss: 1.6028 2022/08/03 21:44:44 - mmengine - INFO - Epoch(train) [56][340/1879] lr: 1.0000e-02 eta: 1 day, 20:52:52 time: 0.4299 data_time: 0.0176 memory: 17087 grad_norm: 4.8283 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6495 loss: 1.6495 2022/08/03 21:44:53 - mmengine - INFO - Epoch(train) [56][360/1879] lr: 1.0000e-02 eta: 1 day, 20:52:44 time: 0.4303 data_time: 0.0159 memory: 17087 grad_norm: 4.8413 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4920 loss: 1.4920 2022/08/03 21:45:02 - mmengine - INFO - Epoch(train) [56][380/1879] lr: 1.0000e-02 eta: 1 day, 20:52:37 time: 0.4495 data_time: 0.0145 memory: 17087 grad_norm: 4.9597 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6274 loss: 1.6274 2022/08/03 21:45:10 - mmengine - INFO - Epoch(train) [56][400/1879] lr: 1.0000e-02 eta: 1 day, 20:52:29 time: 0.4306 data_time: 0.0196 memory: 17087 grad_norm: 4.9525 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6011 loss: 1.6011 2022/08/03 21:45:20 - mmengine - INFO - Epoch(train) [56][420/1879] lr: 1.0000e-02 eta: 1 day, 20:52:22 time: 0.4567 data_time: 0.0209 memory: 17087 grad_norm: 4.8163 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5301 loss: 1.5301 2022/08/03 21:45:28 - mmengine - INFO - Epoch(train) [56][440/1879] lr: 1.0000e-02 eta: 1 day, 20:52:13 time: 0.4247 data_time: 0.0141 memory: 17087 grad_norm: 5.0291 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4431 loss: 1.4431 2022/08/03 21:45:37 - mmengine - INFO - Epoch(train) [56][460/1879] lr: 1.0000e-02 eta: 1 day, 20:52:04 time: 0.4250 data_time: 0.0126 memory: 17087 grad_norm: 4.9094 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6045 loss: 1.6045 2022/08/03 21:45:45 - mmengine - INFO - Epoch(train) [56][480/1879] lr: 1.0000e-02 eta: 1 day, 20:51:56 time: 0.4246 data_time: 0.0158 memory: 17087 grad_norm: 5.0548 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5621 loss: 1.5621 2022/08/03 21:45:54 - mmengine - INFO - Epoch(train) [56][500/1879] lr: 1.0000e-02 eta: 1 day, 20:51:47 time: 0.4280 data_time: 0.0137 memory: 17087 grad_norm: 4.9608 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3526 loss: 1.3526 2022/08/03 21:46:02 - mmengine - INFO - Epoch(train) [56][520/1879] lr: 1.0000e-02 eta: 1 day, 20:51:38 time: 0.4269 data_time: 0.0164 memory: 17087 grad_norm: 5.2420 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.7096 loss: 1.7096 2022/08/03 21:46:11 - mmengine - INFO - Epoch(train) [56][540/1879] lr: 1.0000e-02 eta: 1 day, 20:51:30 time: 0.4262 data_time: 0.0143 memory: 17087 grad_norm: 5.0948 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5231 loss: 1.5231 2022/08/03 21:46:19 - mmengine - INFO - Epoch(train) [56][560/1879] lr: 1.0000e-02 eta: 1 day, 20:51:21 time: 0.4254 data_time: 0.0156 memory: 17087 grad_norm: 5.0143 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7580 loss: 1.7580 2022/08/03 21:46:28 - mmengine - INFO - Epoch(train) [56][580/1879] lr: 1.0000e-02 eta: 1 day, 20:51:12 time: 0.4248 data_time: 0.0131 memory: 17087 grad_norm: 5.0233 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4919 loss: 1.4919 2022/08/03 21:46:36 - mmengine - INFO - Epoch(train) [56][600/1879] lr: 1.0000e-02 eta: 1 day, 20:51:03 time: 0.4261 data_time: 0.0148 memory: 17087 grad_norm: 4.9466 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3825 loss: 1.3825 2022/08/03 21:46:45 - mmengine - INFO - Epoch(train) [56][620/1879] lr: 1.0000e-02 eta: 1 day, 20:50:55 time: 0.4253 data_time: 0.0136 memory: 17087 grad_norm: 5.0075 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6741 loss: 1.6741 2022/08/03 21:46:53 - mmengine - INFO - Epoch(train) [56][640/1879] lr: 1.0000e-02 eta: 1 day, 20:50:46 time: 0.4275 data_time: 0.0162 memory: 17087 grad_norm: 5.0464 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6907 loss: 1.6907 2022/08/03 21:47:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 21:47:02 - mmengine - INFO - Epoch(train) [56][660/1879] lr: 1.0000e-02 eta: 1 day, 20:50:37 time: 0.4263 data_time: 0.0171 memory: 17087 grad_norm: 4.9970 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5643 loss: 1.5643 2022/08/03 21:47:10 - mmengine - INFO - Epoch(train) [56][680/1879] lr: 1.0000e-02 eta: 1 day, 20:50:29 time: 0.4289 data_time: 0.0159 memory: 17087 grad_norm: 5.0687 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7062 loss: 1.7062 2022/08/03 21:47:19 - mmengine - INFO - Epoch(train) [56][700/1879] lr: 1.0000e-02 eta: 1 day, 20:50:20 time: 0.4257 data_time: 0.0170 memory: 17087 grad_norm: 4.9638 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4936 loss: 1.4936 2022/08/03 21:47:28 - mmengine - INFO - Epoch(train) [56][720/1879] lr: 1.0000e-02 eta: 1 day, 20:50:11 time: 0.4279 data_time: 0.0154 memory: 17087 grad_norm: 4.9722 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5685 loss: 1.5685 2022/08/03 21:47:36 - mmengine - INFO - Epoch(train) [56][740/1879] lr: 1.0000e-02 eta: 1 day, 20:50:03 time: 0.4248 data_time: 0.0137 memory: 17087 grad_norm: 4.9872 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7203 loss: 1.7203 2022/08/03 21:47:45 - mmengine - INFO - Epoch(train) [56][760/1879] lr: 1.0000e-02 eta: 1 day, 20:49:54 time: 0.4287 data_time: 0.0156 memory: 17087 grad_norm: 5.0349 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5446 loss: 1.5446 2022/08/03 21:47:53 - mmengine - INFO - Epoch(train) [56][780/1879] lr: 1.0000e-02 eta: 1 day, 20:49:46 time: 0.4309 data_time: 0.0120 memory: 17087 grad_norm: 5.0662 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6222 loss: 1.6222 2022/08/03 21:48:02 - mmengine - INFO - Epoch(train) [56][800/1879] lr: 1.0000e-02 eta: 1 day, 20:49:37 time: 0.4298 data_time: 0.0160 memory: 17087 grad_norm: 5.0013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5444 loss: 1.5444 2022/08/03 21:48:10 - mmengine - INFO - Epoch(train) [56][820/1879] lr: 1.0000e-02 eta: 1 day, 20:49:29 time: 0.4276 data_time: 0.0129 memory: 17087 grad_norm: 4.9949 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7601 loss: 1.7601 2022/08/03 21:48:19 - mmengine - INFO - Epoch(train) [56][840/1879] lr: 1.0000e-02 eta: 1 day, 20:49:20 time: 0.4263 data_time: 0.0162 memory: 17087 grad_norm: 4.9895 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4881 loss: 1.4881 2022/08/03 21:48:28 - mmengine - INFO - Epoch(train) [56][860/1879] lr: 1.0000e-02 eta: 1 day, 20:49:12 time: 0.4290 data_time: 0.0147 memory: 17087 grad_norm: 4.9949 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8105 loss: 1.8105 2022/08/03 21:48:36 - mmengine - INFO - Epoch(train) [56][880/1879] lr: 1.0000e-02 eta: 1 day, 20:49:03 time: 0.4252 data_time: 0.0157 memory: 17087 grad_norm: 5.1715 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7562 loss: 1.7562 2022/08/03 21:48:45 - mmengine - INFO - Epoch(train) [56][900/1879] lr: 1.0000e-02 eta: 1 day, 20:48:54 time: 0.4262 data_time: 0.0144 memory: 17087 grad_norm: 4.9615 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6865 loss: 1.6865 2022/08/03 21:48:53 - mmengine - INFO - Epoch(train) [56][920/1879] lr: 1.0000e-02 eta: 1 day, 20:48:45 time: 0.4257 data_time: 0.0147 memory: 17087 grad_norm: 5.0485 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6096 loss: 1.6096 2022/08/03 21:49:02 - mmengine - INFO - Epoch(train) [56][940/1879] lr: 1.0000e-02 eta: 1 day, 20:48:37 time: 0.4271 data_time: 0.0155 memory: 17087 grad_norm: 5.0258 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5638 loss: 1.5638 2022/08/03 21:49:10 - mmengine - INFO - Epoch(train) [56][960/1879] lr: 1.0000e-02 eta: 1 day, 20:48:28 time: 0.4268 data_time: 0.0168 memory: 17087 grad_norm: 4.8661 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5279 loss: 1.5279 2022/08/03 21:49:19 - mmengine - INFO - Epoch(train) [56][980/1879] lr: 1.0000e-02 eta: 1 day, 20:48:20 time: 0.4422 data_time: 0.0172 memory: 17087 grad_norm: 5.1760 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6138 loss: 1.6138 2022/08/03 21:49:28 - mmengine - INFO - Epoch(train) [56][1000/1879] lr: 1.0000e-02 eta: 1 day, 20:48:12 time: 0.4279 data_time: 0.0166 memory: 17087 grad_norm: 5.0878 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4959 loss: 1.4959 2022/08/03 21:49:36 - mmengine - INFO - Epoch(train) [56][1020/1879] lr: 1.0000e-02 eta: 1 day, 20:48:03 time: 0.4241 data_time: 0.0145 memory: 17087 grad_norm: 5.0584 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4954 loss: 1.4954 2022/08/03 21:49:45 - mmengine - INFO - Epoch(train) [56][1040/1879] lr: 1.0000e-02 eta: 1 day, 20:47:54 time: 0.4263 data_time: 0.0160 memory: 17087 grad_norm: 5.0444 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.5025 loss: 1.5025 2022/08/03 21:49:53 - mmengine - INFO - Epoch(train) [56][1060/1879] lr: 1.0000e-02 eta: 1 day, 20:47:46 time: 0.4294 data_time: 0.0159 memory: 17087 grad_norm: 4.9661 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6152 loss: 1.6152 2022/08/03 21:50:02 - mmengine - INFO - Epoch(train) [56][1080/1879] lr: 1.0000e-02 eta: 1 day, 20:47:37 time: 0.4258 data_time: 0.0180 memory: 17087 grad_norm: 4.9559 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5415 loss: 1.5415 2022/08/03 21:50:10 - mmengine - INFO - Epoch(train) [56][1100/1879] lr: 1.0000e-02 eta: 1 day, 20:47:29 time: 0.4342 data_time: 0.0154 memory: 17087 grad_norm: 4.9736 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4749 loss: 1.4749 2022/08/03 21:50:19 - mmengine - INFO - Epoch(train) [56][1120/1879] lr: 1.0000e-02 eta: 1 day, 20:47:20 time: 0.4268 data_time: 0.0163 memory: 17087 grad_norm: 5.0611 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5558 loss: 1.5558 2022/08/03 21:50:28 - mmengine - INFO - Epoch(train) [56][1140/1879] lr: 1.0000e-02 eta: 1 day, 20:47:12 time: 0.4284 data_time: 0.0136 memory: 17087 grad_norm: 5.0564 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6735 loss: 1.6735 2022/08/03 21:50:36 - mmengine - INFO - Epoch(train) [56][1160/1879] lr: 1.0000e-02 eta: 1 day, 20:47:03 time: 0.4287 data_time: 0.0164 memory: 17087 grad_norm: 5.0737 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6773 loss: 1.6773 2022/08/03 21:50:45 - mmengine - INFO - Epoch(train) [56][1180/1879] lr: 1.0000e-02 eta: 1 day, 20:46:54 time: 0.4234 data_time: 0.0140 memory: 17087 grad_norm: 5.1537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5928 loss: 1.5928 2022/08/03 21:50:53 - mmengine - INFO - Epoch(train) [56][1200/1879] lr: 1.0000e-02 eta: 1 day, 20:46:47 time: 0.4436 data_time: 0.0154 memory: 17087 grad_norm: 4.9963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3986 loss: 1.3986 2022/08/03 21:51:02 - mmengine - INFO - Epoch(train) [56][1220/1879] lr: 1.0000e-02 eta: 1 day, 20:46:38 time: 0.4246 data_time: 0.0143 memory: 17087 grad_norm: 4.8806 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6871 loss: 1.6871 2022/08/03 21:51:11 - mmengine - INFO - Epoch(train) [56][1240/1879] lr: 1.0000e-02 eta: 1 day, 20:46:31 time: 0.4489 data_time: 0.0219 memory: 17087 grad_norm: 5.0079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5396 loss: 1.5396 2022/08/03 21:51:19 - mmengine - INFO - Epoch(train) [56][1260/1879] lr: 1.0000e-02 eta: 1 day, 20:46:22 time: 0.4241 data_time: 0.0137 memory: 17087 grad_norm: 4.7675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6072 loss: 1.6072 2022/08/03 21:51:28 - mmengine - INFO - Epoch(train) [56][1280/1879] lr: 1.0000e-02 eta: 1 day, 20:46:13 time: 0.4276 data_time: 0.0173 memory: 17087 grad_norm: 4.9711 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6025 loss: 1.6025 2022/08/03 21:51:37 - mmengine - INFO - Epoch(train) [56][1300/1879] lr: 1.0000e-02 eta: 1 day, 20:46:05 time: 0.4258 data_time: 0.0153 memory: 17087 grad_norm: 5.0881 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.8384 loss: 1.8384 2022/08/03 21:51:45 - mmengine - INFO - Epoch(train) [56][1320/1879] lr: 1.0000e-02 eta: 1 day, 20:45:56 time: 0.4239 data_time: 0.0151 memory: 17087 grad_norm: 5.1181 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6918 loss: 1.6918 2022/08/03 21:51:54 - mmengine - INFO - Epoch(train) [56][1340/1879] lr: 1.0000e-02 eta: 1 day, 20:45:47 time: 0.4284 data_time: 0.0140 memory: 17087 grad_norm: 5.0022 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5826 loss: 1.5826 2022/08/03 21:52:02 - mmengine - INFO - Epoch(train) [56][1360/1879] lr: 1.0000e-02 eta: 1 day, 20:45:38 time: 0.4244 data_time: 0.0157 memory: 17087 grad_norm: 5.1396 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7779 loss: 1.7779 2022/08/03 21:52:11 - mmengine - INFO - Epoch(train) [56][1380/1879] lr: 1.0000e-02 eta: 1 day, 20:45:30 time: 0.4306 data_time: 0.0144 memory: 17087 grad_norm: 4.9780 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6939 loss: 1.6939 2022/08/03 21:52:19 - mmengine - INFO - Epoch(train) [56][1400/1879] lr: 1.0000e-02 eta: 1 day, 20:45:21 time: 0.4267 data_time: 0.0159 memory: 17087 grad_norm: 5.0294 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4710 loss: 1.4710 2022/08/03 21:52:28 - mmengine - INFO - Epoch(train) [56][1420/1879] lr: 1.0000e-02 eta: 1 day, 20:45:13 time: 0.4339 data_time: 0.0147 memory: 17087 grad_norm: 4.9822 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7238 loss: 1.7238 2022/08/03 21:52:36 - mmengine - INFO - Epoch(train) [56][1440/1879] lr: 1.0000e-02 eta: 1 day, 20:45:05 time: 0.4255 data_time: 0.0159 memory: 17087 grad_norm: 4.7771 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6776 loss: 1.6776 2022/08/03 21:52:45 - mmengine - INFO - Epoch(train) [56][1460/1879] lr: 1.0000e-02 eta: 1 day, 20:44:56 time: 0.4286 data_time: 0.0132 memory: 17087 grad_norm: 5.0149 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6557 loss: 1.6557 2022/08/03 21:52:54 - mmengine - INFO - Epoch(train) [56][1480/1879] lr: 1.0000e-02 eta: 1 day, 20:44:49 time: 0.4463 data_time: 0.0158 memory: 17087 grad_norm: 4.9376 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5699 loss: 1.5699 2022/08/03 21:53:02 - mmengine - INFO - Epoch(train) [56][1500/1879] lr: 1.0000e-02 eta: 1 day, 20:44:40 time: 0.4247 data_time: 0.0154 memory: 17087 grad_norm: 5.0929 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7597 loss: 1.7597 2022/08/03 21:53:11 - mmengine - INFO - Epoch(train) [56][1520/1879] lr: 1.0000e-02 eta: 1 day, 20:44:31 time: 0.4291 data_time: 0.0160 memory: 17087 grad_norm: 5.0667 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5323 loss: 1.5323 2022/08/03 21:53:20 - mmengine - INFO - Epoch(train) [56][1540/1879] lr: 1.0000e-02 eta: 1 day, 20:44:23 time: 0.4257 data_time: 0.0148 memory: 17087 grad_norm: 4.9532 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4439 loss: 1.4439 2022/08/03 21:53:29 - mmengine - INFO - Epoch(train) [56][1560/1879] lr: 1.0000e-02 eta: 1 day, 20:44:16 time: 0.4563 data_time: 0.0164 memory: 17087 grad_norm: 4.9885 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5640 loss: 1.5640 2022/08/03 21:53:37 - mmengine - INFO - Epoch(train) [56][1580/1879] lr: 1.0000e-02 eta: 1 day, 20:44:08 time: 0.4303 data_time: 0.0209 memory: 17087 grad_norm: 5.0384 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6572 loss: 1.6572 2022/08/03 21:53:46 - mmengine - INFO - Epoch(train) [56][1600/1879] lr: 1.0000e-02 eta: 1 day, 20:43:59 time: 0.4299 data_time: 0.0156 memory: 17087 grad_norm: 5.0322 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7467 loss: 1.7467 2022/08/03 21:53:54 - mmengine - INFO - Epoch(train) [56][1620/1879] lr: 1.0000e-02 eta: 1 day, 20:43:50 time: 0.4255 data_time: 0.0148 memory: 17087 grad_norm: 5.1653 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5479 loss: 1.5479 2022/08/03 21:54:03 - mmengine - INFO - Epoch(train) [56][1640/1879] lr: 1.0000e-02 eta: 1 day, 20:43:43 time: 0.4469 data_time: 0.0185 memory: 17087 grad_norm: 5.0270 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.7667 loss: 1.7667 2022/08/03 21:54:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 21:54:12 - mmengine - INFO - Epoch(train) [56][1660/1879] lr: 1.0000e-02 eta: 1 day, 20:43:34 time: 0.4247 data_time: 0.0154 memory: 17087 grad_norm: 4.9937 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7222 loss: 1.7222 2022/08/03 21:54:21 - mmengine - INFO - Epoch(train) [56][1680/1879] lr: 1.0000e-02 eta: 1 day, 20:43:27 time: 0.4369 data_time: 0.0214 memory: 17087 grad_norm: 5.1958 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.9338 loss: 1.9338 2022/08/03 21:54:31 - mmengine - INFO - Epoch(train) [56][1700/1879] lr: 1.0000e-02 eta: 1 day, 20:43:25 time: 0.5297 data_time: 0.1172 memory: 17087 grad_norm: 4.9150 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5663 loss: 1.5663 2022/08/03 21:54:42 - mmengine - INFO - Epoch(train) [56][1720/1879] lr: 1.0000e-02 eta: 1 day, 20:43:25 time: 0.5449 data_time: 0.0152 memory: 17087 grad_norm: 4.8263 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5316 loss: 1.5316 2022/08/03 21:54:54 - mmengine - INFO - Epoch(train) [56][1740/1879] lr: 1.0000e-02 eta: 1 day, 20:43:30 time: 0.6125 data_time: 0.0219 memory: 17087 grad_norm: 4.8514 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3840 loss: 1.3840 2022/08/03 21:55:06 - mmengine - INFO - Epoch(train) [56][1760/1879] lr: 1.0000e-02 eta: 1 day, 20:43:31 time: 0.5718 data_time: 0.0208 memory: 17087 grad_norm: 5.0438 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5831 loss: 1.5831 2022/08/03 21:55:18 - mmengine - INFO - Epoch(train) [56][1780/1879] lr: 1.0000e-02 eta: 1 day, 20:43:34 time: 0.5925 data_time: 0.0781 memory: 17087 grad_norm: 4.8680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6214 loss: 1.6214 2022/08/03 21:55:29 - mmengine - INFO - Epoch(train) [56][1800/1879] lr: 1.0000e-02 eta: 1 day, 20:43:37 time: 0.5870 data_time: 0.0242 memory: 17087 grad_norm: 4.9099 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4592 loss: 1.4592 2022/08/03 21:55:42 - mmengine - INFO - Epoch(train) [56][1820/1879] lr: 1.0000e-02 eta: 1 day, 20:43:43 time: 0.6284 data_time: 0.0168 memory: 17087 grad_norm: 5.0441 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4722 loss: 1.4722 2022/08/03 21:55:53 - mmengine - INFO - Epoch(train) [56][1840/1879] lr: 1.0000e-02 eta: 1 day, 20:43:42 time: 0.5373 data_time: 0.0175 memory: 17087 grad_norm: 5.1806 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6664 loss: 1.6664 2022/08/03 21:56:04 - mmengine - INFO - Epoch(train) [56][1860/1879] lr: 1.0000e-02 eta: 1 day, 20:43:44 time: 0.5729 data_time: 0.0183 memory: 17087 grad_norm: 5.1428 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6638 loss: 1.6638 2022/08/03 21:56:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 21:56:14 - mmengine - INFO - Epoch(train) [56][1879/1879] lr: 1.0000e-02 eta: 1 day, 20:43:44 time: 0.5627 data_time: 0.0180 memory: 17087 grad_norm: 5.0800 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.7354 loss: 1.7354 2022/08/03 21:56:15 - mmengine - INFO - Saving checkpoint at 56 epochs 2022/08/03 21:56:43 - mmengine - INFO - Epoch(train) [57][20/1879] lr: 1.0000e-02 eta: 1 day, 20:43:55 time: 1.2212 data_time: 0.1010 memory: 17087 grad_norm: 4.8205 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6542 loss: 1.6542 2022/08/03 21:56:54 - mmengine - INFO - Epoch(train) [57][40/1879] lr: 1.0000e-02 eta: 1 day, 20:43:55 time: 0.5467 data_time: 0.0174 memory: 17087 grad_norm: 4.9119 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.5327 loss: 1.5327 2022/08/03 21:57:05 - mmengine - INFO - Epoch(train) [57][60/1879] lr: 1.0000e-02 eta: 1 day, 20:43:54 time: 0.5386 data_time: 0.0196 memory: 17087 grad_norm: 4.8874 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7037 loss: 1.7037 2022/08/03 21:57:16 - mmengine - INFO - Epoch(train) [57][80/1879] lr: 1.0000e-02 eta: 1 day, 20:43:57 time: 0.5879 data_time: 0.0610 memory: 17087 grad_norm: 5.0828 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4457 loss: 1.4457 2022/08/03 21:57:31 - mmengine - INFO - Epoch(train) [57][100/1879] lr: 1.0000e-02 eta: 1 day, 20:44:11 time: 0.7505 data_time: 0.0171 memory: 17087 grad_norm: 5.0741 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6188 loss: 1.6188 2022/08/03 21:57:42 - mmengine - INFO - Epoch(train) [57][120/1879] lr: 1.0000e-02 eta: 1 day, 20:44:10 time: 0.5288 data_time: 0.0329 memory: 17087 grad_norm: 4.9211 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5220 loss: 1.5220 2022/08/03 21:57:59 - mmengine - INFO - Epoch(train) [57][140/1879] lr: 1.0000e-02 eta: 1 day, 20:44:30 time: 0.8366 data_time: 0.4029 memory: 17087 grad_norm: 4.8555 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5616 loss: 1.5616 2022/08/03 21:58:10 - mmengine - INFO - Epoch(train) [57][160/1879] lr: 1.0000e-02 eta: 1 day, 20:44:31 time: 0.5568 data_time: 0.0205 memory: 17087 grad_norm: 4.8679 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4650 loss: 1.4650 2022/08/03 21:58:31 - mmengine - INFO - Epoch(train) [57][180/1879] lr: 1.0000e-02 eta: 1 day, 20:45:05 time: 1.0312 data_time: 0.0177 memory: 17087 grad_norm: 5.0855 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6534 loss: 1.6534 2022/08/03 21:58:41 - mmengine - INFO - Epoch(train) [57][200/1879] lr: 1.0000e-02 eta: 1 day, 20:45:03 time: 0.5208 data_time: 0.0194 memory: 17087 grad_norm: 4.9399 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2313 loss: 1.2313 2022/08/03 21:58:52 - mmengine - INFO - Epoch(train) [57][220/1879] lr: 1.0000e-02 eta: 1 day, 20:45:05 time: 0.5736 data_time: 0.0217 memory: 17087 grad_norm: 5.0248 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5423 loss: 1.5423 2022/08/03 21:59:05 - mmengine - INFO - Epoch(train) [57][240/1879] lr: 1.0000e-02 eta: 1 day, 20:45:11 time: 0.6403 data_time: 0.0173 memory: 17087 grad_norm: 5.0731 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3935 loss: 1.3935 2022/08/03 21:59:16 - mmengine - INFO - Epoch(train) [57][260/1879] lr: 1.0000e-02 eta: 1 day, 20:45:09 time: 0.5165 data_time: 0.0138 memory: 17087 grad_norm: 5.2078 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6088 loss: 1.6088 2022/08/03 21:59:28 - mmengine - INFO - Epoch(train) [57][280/1879] lr: 1.0000e-02 eta: 1 day, 20:45:15 time: 0.6401 data_time: 0.0175 memory: 17087 grad_norm: 5.1018 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5012 loss: 1.5012 2022/08/03 21:59:39 - mmengine - INFO - Epoch(train) [57][300/1879] lr: 1.0000e-02 eta: 1 day, 20:45:14 time: 0.5291 data_time: 0.1161 memory: 17087 grad_norm: 4.8516 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4761 loss: 1.4761 2022/08/03 21:59:51 - mmengine - INFO - Epoch(train) [57][320/1879] lr: 1.0000e-02 eta: 1 day, 20:45:18 time: 0.6119 data_time: 0.1559 memory: 17087 grad_norm: 4.9195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3522 loss: 1.3522 2022/08/03 22:00:04 - mmengine - INFO - Epoch(train) [57][340/1879] lr: 1.0000e-02 eta: 1 day, 20:45:23 time: 0.6217 data_time: 0.0150 memory: 17087 grad_norm: 4.9253 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5680 loss: 1.5680 2022/08/03 22:00:14 - mmengine - INFO - Epoch(train) [57][360/1879] lr: 1.0000e-02 eta: 1 day, 20:45:21 time: 0.5097 data_time: 0.0197 memory: 17087 grad_norm: 4.9191 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5182 loss: 1.5182 2022/08/03 22:00:25 - mmengine - INFO - Epoch(train) [57][380/1879] lr: 1.0000e-02 eta: 1 day, 20:45:22 time: 0.5627 data_time: 0.0162 memory: 17087 grad_norm: 5.1040 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5441 loss: 1.5441 2022/08/03 22:00:36 - mmengine - INFO - Epoch(train) [57][400/1879] lr: 1.0000e-02 eta: 1 day, 20:45:21 time: 0.5484 data_time: 0.0285 memory: 17087 grad_norm: 4.9534 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6395 loss: 1.6395 2022/08/03 22:00:48 - mmengine - INFO - Epoch(train) [57][420/1879] lr: 1.0000e-02 eta: 1 day, 20:45:26 time: 0.6186 data_time: 0.0146 memory: 17087 grad_norm: 4.9708 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5362 loss: 1.5362 2022/08/03 22:01:01 - mmengine - INFO - Epoch(train) [57][440/1879] lr: 1.0000e-02 eta: 1 day, 20:45:33 time: 0.6465 data_time: 0.0158 memory: 17087 grad_norm: 5.0043 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5300 loss: 1.5300 2022/08/03 22:01:14 - mmengine - INFO - Epoch(train) [57][460/1879] lr: 1.0000e-02 eta: 1 day, 20:45:39 time: 0.6352 data_time: 0.0206 memory: 17087 grad_norm: 5.2023 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5736 loss: 1.5736 2022/08/03 22:01:25 - mmengine - INFO - Epoch(train) [57][480/1879] lr: 1.0000e-02 eta: 1 day, 20:45:38 time: 0.5325 data_time: 0.0188 memory: 17087 grad_norm: 5.0290 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4276 loss: 1.4276 2022/08/03 22:01:37 - mmengine - INFO - Epoch(train) [57][500/1879] lr: 1.0000e-02 eta: 1 day, 20:45:43 time: 0.6227 data_time: 0.0218 memory: 17087 grad_norm: 5.0410 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6275 loss: 1.6275 2022/08/03 22:01:48 - mmengine - INFO - Epoch(train) [57][520/1879] lr: 1.0000e-02 eta: 1 day, 20:45:43 time: 0.5537 data_time: 0.0251 memory: 17087 grad_norm: 4.8852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5774 loss: 1.5774 2022/08/03 22:02:01 - mmengine - INFO - Epoch(train) [57][540/1879] lr: 1.0000e-02 eta: 1 day, 20:45:50 time: 0.6385 data_time: 0.0180 memory: 17087 grad_norm: 4.9632 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4878 loss: 1.4878 2022/08/03 22:02:12 - mmengine - INFO - Epoch(train) [57][560/1879] lr: 1.0000e-02 eta: 1 day, 20:45:50 time: 0.5505 data_time: 0.0140 memory: 17087 grad_norm: 5.1585 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.9475 loss: 1.9475 2022/08/03 22:02:23 - mmengine - INFO - Epoch(train) [57][580/1879] lr: 1.0000e-02 eta: 1 day, 20:45:49 time: 0.5431 data_time: 0.0198 memory: 17087 grad_norm: 5.1526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4037 loss: 1.4037 2022/08/03 22:02:34 - mmengine - INFO - Epoch(train) [57][600/1879] lr: 1.0000e-02 eta: 1 day, 20:45:49 time: 0.5437 data_time: 0.0617 memory: 17087 grad_norm: 5.0792 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6564 loss: 1.6564 2022/08/03 22:02:49 - mmengine - INFO - Epoch(train) [57][620/1879] lr: 1.0000e-02 eta: 1 day, 20:46:04 time: 0.7758 data_time: 0.0175 memory: 17087 grad_norm: 4.9235 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4410 loss: 1.4410 2022/08/03 22:03:02 - mmengine - INFO - Epoch(train) [57][640/1879] lr: 1.0000e-02 eta: 1 day, 20:46:10 time: 0.6274 data_time: 0.2101 memory: 17087 grad_norm: 5.0356 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4927 loss: 1.4927 2022/08/03 22:03:14 - mmengine - INFO - Epoch(train) [57][660/1879] lr: 1.0000e-02 eta: 1 day, 20:46:15 time: 0.6226 data_time: 0.1041 memory: 17087 grad_norm: 5.0700 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5281 loss: 1.5281 2022/08/03 22:03:25 - mmengine - INFO - Epoch(train) [57][680/1879] lr: 1.0000e-02 eta: 1 day, 20:46:13 time: 0.5215 data_time: 0.0187 memory: 17087 grad_norm: 5.1384 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7200 loss: 1.7200 2022/08/03 22:03:38 - mmengine - INFO - Epoch(train) [57][700/1879] lr: 1.0000e-02 eta: 1 day, 20:46:19 time: 0.6354 data_time: 0.0191 memory: 17087 grad_norm: 5.0334 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7208 loss: 1.7208 2022/08/03 22:03:51 - mmengine - INFO - Epoch(train) [57][720/1879] lr: 1.0000e-02 eta: 1 day, 20:46:26 time: 0.6496 data_time: 0.0207 memory: 17087 grad_norm: 4.9896 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5625 loss: 1.5625 2022/08/03 22:04:01 - mmengine - INFO - Epoch(train) [57][740/1879] lr: 1.0000e-02 eta: 1 day, 20:46:25 time: 0.5419 data_time: 0.0205 memory: 17087 grad_norm: 4.9081 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4742 loss: 1.4742 2022/08/03 22:04:12 - mmengine - INFO - Epoch(train) [57][760/1879] lr: 1.0000e-02 eta: 1 day, 20:46:24 time: 0.5334 data_time: 0.0195 memory: 17087 grad_norm: 4.9185 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5998 loss: 1.5998 2022/08/03 22:04:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 22:04:23 - mmengine - INFO - Epoch(train) [57][780/1879] lr: 1.0000e-02 eta: 1 day, 20:46:24 time: 0.5507 data_time: 0.0169 memory: 17087 grad_norm: 4.9876 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5142 loss: 1.5142 2022/08/03 22:04:35 - mmengine - INFO - Epoch(train) [57][800/1879] lr: 1.0000e-02 eta: 1 day, 20:46:28 time: 0.6150 data_time: 0.0167 memory: 17087 grad_norm: 5.1627 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5951 loss: 1.5951 2022/08/03 22:04:45 - mmengine - INFO - Epoch(train) [57][820/1879] lr: 1.0000e-02 eta: 1 day, 20:46:25 time: 0.4959 data_time: 0.0153 memory: 17087 grad_norm: 4.9324 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5417 loss: 1.5417 2022/08/03 22:05:04 - mmengine - INFO - Epoch(train) [57][840/1879] lr: 1.0000e-02 eta: 1 day, 20:46:51 time: 0.9238 data_time: 0.0148 memory: 17087 grad_norm: 4.9127 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5244 loss: 1.5244 2022/08/03 22:05:16 - mmengine - INFO - Epoch(train) [57][860/1879] lr: 1.0000e-02 eta: 1 day, 20:46:56 time: 0.6261 data_time: 0.0184 memory: 17087 grad_norm: 4.8460 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6569 loss: 1.6569 2022/08/03 22:05:29 - mmengine - INFO - Epoch(train) [57][880/1879] lr: 1.0000e-02 eta: 1 day, 20:47:01 time: 0.6207 data_time: 0.0187 memory: 17087 grad_norm: 5.0465 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5426 loss: 1.5426 2022/08/03 22:05:40 - mmengine - INFO - Epoch(train) [57][900/1879] lr: 1.0000e-02 eta: 1 day, 20:47:01 time: 0.5460 data_time: 0.0220 memory: 17087 grad_norm: 4.9286 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6263 loss: 1.6263 2022/08/03 22:05:52 - mmengine - INFO - Epoch(train) [57][920/1879] lr: 1.0000e-02 eta: 1 day, 20:47:06 time: 0.6240 data_time: 0.0170 memory: 17087 grad_norm: 5.1428 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5764 loss: 1.5764 2022/08/03 22:06:03 - mmengine - INFO - Epoch(train) [57][940/1879] lr: 1.0000e-02 eta: 1 day, 20:47:05 time: 0.5480 data_time: 0.0172 memory: 17087 grad_norm: 5.1293 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6225 loss: 1.6225 2022/08/03 22:06:14 - mmengine - INFO - Epoch(train) [57][960/1879] lr: 1.0000e-02 eta: 1 day, 20:47:04 time: 0.5259 data_time: 0.0178 memory: 17087 grad_norm: 5.1313 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.7574 loss: 1.7574 2022/08/03 22:06:26 - mmengine - INFO - Epoch(train) [57][980/1879] lr: 1.0000e-02 eta: 1 day, 20:47:07 time: 0.5976 data_time: 0.0186 memory: 17087 grad_norm: 5.1092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5465 loss: 1.5465 2022/08/03 22:06:40 - mmengine - INFO - Epoch(train) [57][1000/1879] lr: 1.0000e-02 eta: 1 day, 20:47:18 time: 0.7158 data_time: 0.0146 memory: 17087 grad_norm: 5.0446 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5238 loss: 1.5238 2022/08/03 22:06:51 - mmengine - INFO - Epoch(train) [57][1020/1879] lr: 1.0000e-02 eta: 1 day, 20:47:18 time: 0.5488 data_time: 0.0196 memory: 17087 grad_norm: 5.0956 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5126 loss: 1.5126 2022/08/03 22:07:03 - mmengine - INFO - Epoch(train) [57][1040/1879] lr: 1.0000e-02 eta: 1 day, 20:47:21 time: 0.5917 data_time: 0.0688 memory: 17087 grad_norm: 5.0141 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5720 loss: 1.5720 2022/08/03 22:07:13 - mmengine - INFO - Epoch(train) [57][1060/1879] lr: 1.0000e-02 eta: 1 day, 20:47:19 time: 0.5206 data_time: 0.0151 memory: 17087 grad_norm: 5.0724 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8454 loss: 1.8454 2022/08/03 22:07:22 - mmengine - INFO - Epoch(train) [57][1080/1879] lr: 1.0000e-02 eta: 1 day, 20:47:12 time: 0.4576 data_time: 0.0149 memory: 17087 grad_norm: 5.0458 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.6052 loss: 1.6052 2022/08/03 22:07:32 - mmengine - INFO - Epoch(train) [57][1100/1879] lr: 1.0000e-02 eta: 1 day, 20:47:06 time: 0.4634 data_time: 0.0140 memory: 17087 grad_norm: 5.2202 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5641 loss: 1.5641 2022/08/03 22:07:40 - mmengine - INFO - Epoch(train) [57][1120/1879] lr: 1.0000e-02 eta: 1 day, 20:46:57 time: 0.4358 data_time: 0.0229 memory: 17087 grad_norm: 5.0365 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6195 loss: 1.6195 2022/08/03 22:07:50 - mmengine - INFO - Epoch(train) [57][1140/1879] lr: 1.0000e-02 eta: 1 day, 20:46:51 time: 0.4658 data_time: 0.0147 memory: 17087 grad_norm: 5.0671 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.3930 loss: 1.3930 2022/08/03 22:07:58 - mmengine - INFO - Epoch(train) [57][1160/1879] lr: 1.0000e-02 eta: 1 day, 20:46:43 time: 0.4277 data_time: 0.0173 memory: 17087 grad_norm: 5.0505 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5509 loss: 1.5509 2022/08/03 22:08:08 - mmengine - INFO - Epoch(train) [57][1180/1879] lr: 1.0000e-02 eta: 1 day, 20:46:37 time: 0.4783 data_time: 0.0219 memory: 17087 grad_norm: 5.0815 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6524 loss: 1.6524 2022/08/03 22:08:17 - mmengine - INFO - Epoch(train) [57][1200/1879] lr: 1.0000e-02 eta: 1 day, 20:46:30 time: 0.4416 data_time: 0.0198 memory: 17087 grad_norm: 5.0322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7415 loss: 1.7415 2022/08/03 22:08:25 - mmengine - INFO - Epoch(train) [57][1220/1879] lr: 1.0000e-02 eta: 1 day, 20:46:21 time: 0.4249 data_time: 0.0142 memory: 17087 grad_norm: 5.1442 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4933 loss: 1.4933 2022/08/03 22:08:34 - mmengine - INFO - Epoch(train) [57][1240/1879] lr: 1.0000e-02 eta: 1 day, 20:46:13 time: 0.4424 data_time: 0.0160 memory: 17087 grad_norm: 4.9371 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3941 loss: 1.3941 2022/08/03 22:08:43 - mmengine - INFO - Epoch(train) [57][1260/1879] lr: 1.0000e-02 eta: 1 day, 20:46:04 time: 0.4282 data_time: 0.0170 memory: 17087 grad_norm: 5.1661 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6954 loss: 1.6954 2022/08/03 22:08:51 - mmengine - INFO - Epoch(train) [57][1280/1879] lr: 1.0000e-02 eta: 1 day, 20:45:55 time: 0.4279 data_time: 0.0177 memory: 17087 grad_norm: 5.0251 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5415 loss: 1.5415 2022/08/03 22:09:00 - mmengine - INFO - Epoch(train) [57][1300/1879] lr: 1.0000e-02 eta: 1 day, 20:45:46 time: 0.4248 data_time: 0.0122 memory: 17087 grad_norm: 4.9544 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5988 loss: 1.5988 2022/08/03 22:09:08 - mmengine - INFO - Epoch(train) [57][1320/1879] lr: 1.0000e-02 eta: 1 day, 20:45:37 time: 0.4256 data_time: 0.0149 memory: 17087 grad_norm: 5.0160 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5505 loss: 1.5505 2022/08/03 22:09:17 - mmengine - INFO - Epoch(train) [57][1340/1879] lr: 1.0000e-02 eta: 1 day, 20:45:28 time: 0.4250 data_time: 0.0130 memory: 17087 grad_norm: 4.9970 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4881 loss: 1.4881 2022/08/03 22:09:25 - mmengine - INFO - Epoch(train) [57][1360/1879] lr: 1.0000e-02 eta: 1 day, 20:45:19 time: 0.4253 data_time: 0.0151 memory: 17087 grad_norm: 5.0335 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6235 loss: 1.6235 2022/08/03 22:09:34 - mmengine - INFO - Epoch(train) [57][1380/1879] lr: 1.0000e-02 eta: 1 day, 20:45:10 time: 0.4256 data_time: 0.0137 memory: 17087 grad_norm: 5.0332 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6564 loss: 1.6564 2022/08/03 22:09:42 - mmengine - INFO - Epoch(train) [57][1400/1879] lr: 1.0000e-02 eta: 1 day, 20:45:02 time: 0.4253 data_time: 0.0153 memory: 17087 grad_norm: 5.1238 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7024 loss: 1.7024 2022/08/03 22:09:51 - mmengine - INFO - Epoch(train) [57][1420/1879] lr: 1.0000e-02 eta: 1 day, 20:44:53 time: 0.4260 data_time: 0.0148 memory: 17087 grad_norm: 4.9657 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5162 loss: 1.5162 2022/08/03 22:09:59 - mmengine - INFO - Epoch(train) [57][1440/1879] lr: 1.0000e-02 eta: 1 day, 20:44:44 time: 0.4268 data_time: 0.0191 memory: 17087 grad_norm: 4.9364 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6605 loss: 1.6605 2022/08/03 22:10:08 - mmengine - INFO - Epoch(train) [57][1460/1879] lr: 1.0000e-02 eta: 1 day, 20:44:35 time: 0.4235 data_time: 0.0130 memory: 17087 grad_norm: 5.1191 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6156 loss: 1.6156 2022/08/03 22:10:16 - mmengine - INFO - Epoch(train) [57][1480/1879] lr: 1.0000e-02 eta: 1 day, 20:44:26 time: 0.4261 data_time: 0.0160 memory: 17087 grad_norm: 5.0248 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3676 loss: 1.3676 2022/08/03 22:10:25 - mmengine - INFO - Epoch(train) [57][1500/1879] lr: 1.0000e-02 eta: 1 day, 20:44:17 time: 0.4246 data_time: 0.0141 memory: 17087 grad_norm: 4.9907 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8065 loss: 1.8065 2022/08/03 22:10:33 - mmengine - INFO - Epoch(train) [57][1520/1879] lr: 1.0000e-02 eta: 1 day, 20:44:08 time: 0.4321 data_time: 0.0171 memory: 17087 grad_norm: 5.0044 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7225 loss: 1.7225 2022/08/03 22:10:43 - mmengine - INFO - Epoch(train) [57][1540/1879] lr: 1.0000e-02 eta: 1 day, 20:44:02 time: 0.4664 data_time: 0.0148 memory: 17087 grad_norm: 4.9377 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5254 loss: 1.5254 2022/08/03 22:10:51 - mmengine - INFO - Epoch(train) [57][1560/1879] lr: 1.0000e-02 eta: 1 day, 20:43:53 time: 0.4262 data_time: 0.0161 memory: 17087 grad_norm: 5.2163 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5922 loss: 1.5922 2022/08/03 22:11:00 - mmengine - INFO - Epoch(train) [57][1580/1879] lr: 1.0000e-02 eta: 1 day, 20:43:44 time: 0.4248 data_time: 0.0144 memory: 17087 grad_norm: 5.0052 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8246 loss: 1.8246 2022/08/03 22:11:08 - mmengine - INFO - Epoch(train) [57][1600/1879] lr: 1.0000e-02 eta: 1 day, 20:43:36 time: 0.4278 data_time: 0.0161 memory: 17087 grad_norm: 5.0033 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4661 loss: 1.4661 2022/08/03 22:11:19 - mmengine - INFO - Epoch(train) [57][1620/1879] lr: 1.0000e-02 eta: 1 day, 20:43:33 time: 0.5178 data_time: 0.0125 memory: 17087 grad_norm: 5.0614 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6316 loss: 1.6316 2022/08/03 22:11:27 - mmengine - INFO - Epoch(train) [57][1640/1879] lr: 1.0000e-02 eta: 1 day, 20:43:24 time: 0.4262 data_time: 0.0165 memory: 17087 grad_norm: 4.9749 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7006 loss: 1.7006 2022/08/03 22:11:36 - mmengine - INFO - Epoch(train) [57][1660/1879] lr: 1.0000e-02 eta: 1 day, 20:43:16 time: 0.4423 data_time: 0.0127 memory: 17087 grad_norm: 5.1126 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5726 loss: 1.5726 2022/08/03 22:11:45 - mmengine - INFO - Epoch(train) [57][1680/1879] lr: 1.0000e-02 eta: 1 day, 20:43:08 time: 0.4311 data_time: 0.0198 memory: 17087 grad_norm: 5.1563 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4626 loss: 1.4626 2022/08/03 22:11:53 - mmengine - INFO - Epoch(train) [57][1700/1879] lr: 1.0000e-02 eta: 1 day, 20:42:59 time: 0.4311 data_time: 0.0157 memory: 17087 grad_norm: 5.1568 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6249 loss: 1.6249 2022/08/03 22:12:02 - mmengine - INFO - Epoch(train) [57][1720/1879] lr: 1.0000e-02 eta: 1 day, 20:42:51 time: 0.4281 data_time: 0.0154 memory: 17087 grad_norm: 5.1027 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.7332 loss: 1.7332 2022/08/03 22:12:11 - mmengine - INFO - Epoch(train) [57][1740/1879] lr: 1.0000e-02 eta: 1 day, 20:42:43 time: 0.4407 data_time: 0.0159 memory: 17087 grad_norm: 5.2861 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7641 loss: 1.7641 2022/08/03 22:12:19 - mmengine - INFO - Epoch(train) [57][1760/1879] lr: 1.0000e-02 eta: 1 day, 20:42:34 time: 0.4260 data_time: 0.0173 memory: 17087 grad_norm: 5.0347 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6406 loss: 1.6406 2022/08/03 22:12:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 22:12:28 - mmengine - INFO - Epoch(train) [57][1780/1879] lr: 1.0000e-02 eta: 1 day, 20:42:25 time: 0.4264 data_time: 0.0151 memory: 17087 grad_norm: 5.3562 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7112 loss: 1.7112 2022/08/03 22:12:36 - mmengine - INFO - Epoch(train) [57][1800/1879] lr: 1.0000e-02 eta: 1 day, 20:42:16 time: 0.4291 data_time: 0.0155 memory: 17087 grad_norm: 4.9314 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4567 loss: 1.4567 2022/08/03 22:12:45 - mmengine - INFO - Epoch(train) [57][1820/1879] lr: 1.0000e-02 eta: 1 day, 20:42:07 time: 0.4272 data_time: 0.0154 memory: 17087 grad_norm: 5.0372 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7100 loss: 1.7100 2022/08/03 22:12:54 - mmengine - INFO - Epoch(train) [57][1840/1879] lr: 1.0000e-02 eta: 1 day, 20:42:00 time: 0.4481 data_time: 0.0153 memory: 17087 grad_norm: 5.0459 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5920 loss: 1.5920 2022/08/03 22:13:03 - mmengine - INFO - Epoch(train) [57][1860/1879] lr: 1.0000e-02 eta: 1 day, 20:41:51 time: 0.4310 data_time: 0.0220 memory: 17087 grad_norm: 5.1142 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8028 loss: 1.8028 2022/08/03 22:13:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 22:13:13 - mmengine - INFO - Epoch(train) [57][1879/1879] lr: 1.0000e-02 eta: 1 day, 20:41:51 time: 0.5379 data_time: 0.1384 memory: 17087 grad_norm: 4.9788 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.6700 loss: 1.6700 2022/08/03 22:13:30 - mmengine - INFO - Epoch(train) [58][20/1879] lr: 1.0000e-02 eta: 1 day, 20:41:34 time: 0.8340 data_time: 0.3269 memory: 17087 grad_norm: 5.0034 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4148 loss: 1.4148 2022/08/03 22:13:38 - mmengine - INFO - Epoch(train) [58][40/1879] lr: 1.0000e-02 eta: 1 day, 20:41:26 time: 0.4275 data_time: 0.0154 memory: 17087 grad_norm: 4.9149 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6997 loss: 1.6997 2022/08/03 22:13:49 - mmengine - INFO - Epoch(train) [58][60/1879] lr: 1.0000e-02 eta: 1 day, 20:41:24 time: 0.5282 data_time: 0.0136 memory: 17087 grad_norm: 5.0051 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4196 loss: 1.4196 2022/08/03 22:13:57 - mmengine - INFO - Epoch(train) [58][80/1879] lr: 1.0000e-02 eta: 1 day, 20:41:15 time: 0.4315 data_time: 0.0167 memory: 17087 grad_norm: 5.0647 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5246 loss: 1.5246 2022/08/03 22:14:08 - mmengine - INFO - Epoch(train) [58][100/1879] lr: 1.0000e-02 eta: 1 day, 20:41:14 time: 0.5343 data_time: 0.0150 memory: 17087 grad_norm: 4.9489 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7491 loss: 1.7491 2022/08/03 22:14:17 - mmengine - INFO - Epoch(train) [58][120/1879] lr: 1.0000e-02 eta: 1 day, 20:41:07 time: 0.4580 data_time: 0.0193 memory: 17087 grad_norm: 4.9887 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6163 loss: 1.6163 2022/08/03 22:14:26 - mmengine - INFO - Epoch(train) [58][140/1879] lr: 1.0000e-02 eta: 1 day, 20:40:58 time: 0.4280 data_time: 0.0149 memory: 17087 grad_norm: 5.1094 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6070 loss: 1.6070 2022/08/03 22:14:37 - mmengine - INFO - Epoch(train) [58][160/1879] lr: 1.0000e-02 eta: 1 day, 20:40:59 time: 0.5574 data_time: 0.1113 memory: 17087 grad_norm: 5.0428 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4839 loss: 1.4839 2022/08/03 22:14:46 - mmengine - INFO - Epoch(train) [58][180/1879] lr: 1.0000e-02 eta: 1 day, 20:40:51 time: 0.4417 data_time: 0.0148 memory: 17087 grad_norm: 5.0646 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6133 loss: 1.6133 2022/08/03 22:14:55 - mmengine - INFO - Epoch(train) [58][200/1879] lr: 1.0000e-02 eta: 1 day, 20:40:42 time: 0.4305 data_time: 0.0134 memory: 17087 grad_norm: 5.1778 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6122 loss: 1.6122 2022/08/03 22:15:05 - mmengine - INFO - Epoch(train) [58][220/1879] lr: 1.0000e-02 eta: 1 day, 20:40:39 time: 0.5089 data_time: 0.0149 memory: 17087 grad_norm: 5.0557 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5573 loss: 1.5573 2022/08/03 22:15:16 - mmengine - INFO - Epoch(train) [58][240/1879] lr: 1.0000e-02 eta: 1 day, 20:40:38 time: 0.5398 data_time: 0.0170 memory: 17087 grad_norm: 4.8898 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6084 loss: 1.6084 2022/08/03 22:15:26 - mmengine - INFO - Epoch(train) [58][260/1879] lr: 1.0000e-02 eta: 1 day, 20:40:37 time: 0.5366 data_time: 0.0217 memory: 17087 grad_norm: 5.0523 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6680 loss: 1.6680 2022/08/03 22:15:37 - mmengine - INFO - Epoch(train) [58][280/1879] lr: 1.0000e-02 eta: 1 day, 20:40:35 time: 0.5298 data_time: 0.0899 memory: 17087 grad_norm: 4.9886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6148 loss: 1.6148 2022/08/03 22:15:47 - mmengine - INFO - Epoch(train) [58][300/1879] lr: 1.0000e-02 eta: 1 day, 20:40:31 time: 0.4894 data_time: 0.0141 memory: 17087 grad_norm: 5.0125 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7155 loss: 1.7155 2022/08/03 22:15:58 - mmengine - INFO - Epoch(train) [58][320/1879] lr: 1.0000e-02 eta: 1 day, 20:40:33 time: 0.5915 data_time: 0.0141 memory: 17087 grad_norm: 5.0272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6792 loss: 1.6792 2022/08/03 22:16:09 - mmengine - INFO - Epoch(train) [58][340/1879] lr: 1.0000e-02 eta: 1 day, 20:40:33 time: 0.5492 data_time: 0.0338 memory: 17087 grad_norm: 4.9266 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5414 loss: 1.5414 2022/08/03 22:16:20 - mmengine - INFO - Epoch(train) [58][360/1879] lr: 1.0000e-02 eta: 1 day, 20:40:31 time: 0.5316 data_time: 0.0179 memory: 17087 grad_norm: 5.1051 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5174 loss: 1.5174 2022/08/03 22:16:31 - mmengine - INFO - Epoch(train) [58][380/1879] lr: 1.0000e-02 eta: 1 day, 20:40:31 time: 0.5476 data_time: 0.0184 memory: 17087 grad_norm: 5.0454 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5379 loss: 1.5379 2022/08/03 22:16:42 - mmengine - INFO - Epoch(train) [58][400/1879] lr: 1.0000e-02 eta: 1 day, 20:40:32 time: 0.5644 data_time: 0.0218 memory: 17087 grad_norm: 5.0993 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7475 loss: 1.7475 2022/08/03 22:16:53 - mmengine - INFO - Epoch(train) [58][420/1879] lr: 1.0000e-02 eta: 1 day, 20:40:29 time: 0.5216 data_time: 0.0139 memory: 17087 grad_norm: 5.0309 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7607 loss: 1.7607 2022/08/03 22:17:04 - mmengine - INFO - Epoch(train) [58][440/1879] lr: 1.0000e-02 eta: 1 day, 20:40:30 time: 0.5599 data_time: 0.0206 memory: 17087 grad_norm: 5.2694 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5563 loss: 1.5563 2022/08/03 22:17:16 - mmengine - INFO - Epoch(train) [58][460/1879] lr: 1.0000e-02 eta: 1 day, 20:40:31 time: 0.5747 data_time: 0.0171 memory: 17087 grad_norm: 5.0568 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6379 loss: 1.6379 2022/08/03 22:17:26 - mmengine - INFO - Epoch(train) [58][480/1879] lr: 1.0000e-02 eta: 1 day, 20:40:29 time: 0.5254 data_time: 0.0223 memory: 17087 grad_norm: 5.0107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.6205 loss: 1.6205 2022/08/03 22:17:35 - mmengine - INFO - Epoch(train) [58][500/1879] lr: 1.0000e-02 eta: 1 day, 20:40:21 time: 0.4385 data_time: 0.0161 memory: 17087 grad_norm: 4.9963 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5243 loss: 1.5243 2022/08/03 22:17:46 - mmengine - INFO - Epoch(train) [58][520/1879] lr: 1.0000e-02 eta: 1 day, 20:40:20 time: 0.5408 data_time: 0.0216 memory: 17087 grad_norm: 5.1619 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5530 loss: 1.5530 2022/08/03 22:17:56 - mmengine - INFO - Epoch(train) [58][540/1879] lr: 1.0000e-02 eta: 1 day, 20:40:17 time: 0.5172 data_time: 0.0144 memory: 17087 grad_norm: 4.9925 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6799 loss: 1.6799 2022/08/03 22:18:05 - mmengine - INFO - Epoch(train) [58][560/1879] lr: 1.0000e-02 eta: 1 day, 20:40:11 time: 0.4592 data_time: 0.0191 memory: 17087 grad_norm: 5.0917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8331 loss: 1.8331 2022/08/03 22:18:16 - mmengine - INFO - Epoch(train) [58][580/1879] lr: 1.0000e-02 eta: 1 day, 20:40:11 time: 0.5627 data_time: 0.0160 memory: 17087 grad_norm: 4.9198 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4310 loss: 1.4310 2022/08/03 22:18:28 - mmengine - INFO - Epoch(train) [58][600/1879] lr: 1.0000e-02 eta: 1 day, 20:40:11 time: 0.5567 data_time: 0.0167 memory: 17087 grad_norm: 4.9794 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4218 loss: 1.4218 2022/08/03 22:18:37 - mmengine - INFO - Epoch(train) [58][620/1879] lr: 1.0000e-02 eta: 1 day, 20:40:04 time: 0.4456 data_time: 0.0182 memory: 17087 grad_norm: 5.0563 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6000 loss: 1.6000 2022/08/03 22:18:49 - mmengine - INFO - Epoch(train) [58][640/1879] lr: 1.0000e-02 eta: 1 day, 20:40:08 time: 0.6195 data_time: 0.1214 memory: 17087 grad_norm: 5.0248 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6374 loss: 1.6374 2022/08/03 22:19:01 - mmengine - INFO - Epoch(train) [58][660/1879] lr: 1.0000e-02 eta: 1 day, 20:40:13 time: 0.6170 data_time: 0.0158 memory: 17087 grad_norm: 5.1304 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1782 loss: 1.1782 2022/08/03 22:19:12 - mmengine - INFO - Epoch(train) [58][680/1879] lr: 1.0000e-02 eta: 1 day, 20:40:12 time: 0.5440 data_time: 0.1300 memory: 17087 grad_norm: 5.3260 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6145 loss: 1.6145 2022/08/03 22:19:24 - mmengine - INFO - Epoch(train) [58][700/1879] lr: 1.0000e-02 eta: 1 day, 20:40:14 time: 0.5890 data_time: 0.0166 memory: 17087 grad_norm: 5.1618 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6249 loss: 1.6249 2022/08/03 22:19:35 - mmengine - INFO - Epoch(train) [58][720/1879] lr: 1.0000e-02 eta: 1 day, 20:40:13 time: 0.5372 data_time: 0.1123 memory: 17087 grad_norm: 5.0554 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5964 loss: 1.5964 2022/08/03 22:19:45 - mmengine - INFO - Epoch(train) [58][740/1879] lr: 1.0000e-02 eta: 1 day, 20:40:12 time: 0.5390 data_time: 0.0170 memory: 17087 grad_norm: 4.8385 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4952 loss: 1.4952 2022/08/03 22:19:56 - mmengine - INFO - Epoch(train) [58][760/1879] lr: 1.0000e-02 eta: 1 day, 20:40:09 time: 0.5196 data_time: 0.0177 memory: 17087 grad_norm: 4.9348 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5980 loss: 1.5980 2022/08/03 22:20:04 - mmengine - INFO - Epoch(train) [58][780/1879] lr: 1.0000e-02 eta: 1 day, 20:40:01 time: 0.4309 data_time: 0.0165 memory: 17087 grad_norm: 4.9973 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4704 loss: 1.4704 2022/08/03 22:20:15 - mmengine - INFO - Epoch(train) [58][800/1879] lr: 1.0000e-02 eta: 1 day, 20:39:59 time: 0.5357 data_time: 0.0204 memory: 17087 grad_norm: 4.9249 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5292 loss: 1.5292 2022/08/03 22:20:25 - mmengine - INFO - Epoch(train) [58][820/1879] lr: 1.0000e-02 eta: 1 day, 20:39:54 time: 0.4741 data_time: 0.0446 memory: 17087 grad_norm: 5.0488 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7260 loss: 1.7260 2022/08/03 22:20:35 - mmengine - INFO - Epoch(train) [58][840/1879] lr: 1.0000e-02 eta: 1 day, 20:39:50 time: 0.5042 data_time: 0.0176 memory: 17087 grad_norm: 5.0281 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5854 loss: 1.5854 2022/08/03 22:20:46 - mmengine - INFO - Epoch(train) [58][860/1879] lr: 1.0000e-02 eta: 1 day, 20:39:50 time: 0.5490 data_time: 0.1054 memory: 17087 grad_norm: 5.0412 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6914 loss: 1.6914 2022/08/03 22:20:57 - mmengine - INFO - Epoch(train) [58][880/1879] lr: 1.0000e-02 eta: 1 day, 20:39:49 time: 0.5442 data_time: 0.1257 memory: 17087 grad_norm: 4.9668 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3668 loss: 1.3668 2022/08/03 22:21:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 22:21:07 - mmengine - INFO - Epoch(train) [58][900/1879] lr: 1.0000e-02 eta: 1 day, 20:39:46 time: 0.5232 data_time: 0.0152 memory: 17087 grad_norm: 5.0203 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4568 loss: 1.4568 2022/08/03 22:21:20 - mmengine - INFO - Epoch(train) [58][920/1879] lr: 1.0000e-02 eta: 1 day, 20:39:53 time: 0.6454 data_time: 0.0206 memory: 17087 grad_norm: 4.9303 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7729 loss: 1.7729 2022/08/03 22:21:31 - mmengine - INFO - Epoch(train) [58][940/1879] lr: 1.0000e-02 eta: 1 day, 20:39:53 time: 0.5604 data_time: 0.0193 memory: 17087 grad_norm: 5.0667 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5384 loss: 1.5384 2022/08/03 22:21:42 - mmengine - INFO - Epoch(train) [58][960/1879] lr: 1.0000e-02 eta: 1 day, 20:39:50 time: 0.5175 data_time: 0.0159 memory: 17087 grad_norm: 5.1464 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6295 loss: 1.6295 2022/08/03 22:21:50 - mmengine - INFO - Epoch(train) [58][980/1879] lr: 1.0000e-02 eta: 1 day, 20:39:42 time: 0.4344 data_time: 0.0175 memory: 17087 grad_norm: 5.1368 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5329 loss: 1.5329 2022/08/03 22:22:01 - mmengine - INFO - Epoch(train) [58][1000/1879] lr: 1.0000e-02 eta: 1 day, 20:39:41 time: 0.5375 data_time: 0.0149 memory: 17087 grad_norm: 5.3172 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8166 loss: 1.8166 2022/08/03 22:22:12 - mmengine - INFO - Epoch(train) [58][1020/1879] lr: 1.0000e-02 eta: 1 day, 20:39:40 time: 0.5508 data_time: 0.0164 memory: 17087 grad_norm: 4.8650 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2975 loss: 1.2975 2022/08/03 22:22:23 - mmengine - INFO - Epoch(train) [58][1040/1879] lr: 1.0000e-02 eta: 1 day, 20:39:38 time: 0.5258 data_time: 0.0160 memory: 17087 grad_norm: 5.0364 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6237 loss: 1.6237 2022/08/03 22:22:32 - mmengine - INFO - Epoch(train) [58][1060/1879] lr: 1.0000e-02 eta: 1 day, 20:39:33 time: 0.4794 data_time: 0.0637 memory: 17087 grad_norm: 5.0339 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5489 loss: 1.5489 2022/08/03 22:22:43 - mmengine - INFO - Epoch(train) [58][1080/1879] lr: 1.0000e-02 eta: 1 day, 20:39:30 time: 0.5209 data_time: 0.0145 memory: 17087 grad_norm: 5.0757 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5366 loss: 1.5366 2022/08/03 22:22:53 - mmengine - INFO - Epoch(train) [58][1100/1879] lr: 1.0000e-02 eta: 1 day, 20:39:29 time: 0.5412 data_time: 0.0258 memory: 17087 grad_norm: 4.9858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6050 loss: 1.6050 2022/08/03 22:23:06 - mmengine - INFO - Epoch(train) [58][1120/1879] lr: 1.0000e-02 eta: 1 day, 20:39:35 time: 0.6384 data_time: 0.0150 memory: 17087 grad_norm: 5.1038 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2969 loss: 1.2969 2022/08/03 22:23:17 - mmengine - INFO - Epoch(train) [58][1140/1879] lr: 1.0000e-02 eta: 1 day, 20:39:33 time: 0.5288 data_time: 0.0201 memory: 17087 grad_norm: 5.1050 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5594 loss: 1.5594 2022/08/03 22:23:26 - mmengine - INFO - Epoch(train) [58][1160/1879] lr: 1.0000e-02 eta: 1 day, 20:39:28 time: 0.4816 data_time: 0.0180 memory: 17087 grad_norm: 5.0632 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4530 loss: 1.4530 2022/08/03 22:23:37 - mmengine - INFO - Epoch(train) [58][1180/1879] lr: 1.0000e-02 eta: 1 day, 20:39:26 time: 0.5288 data_time: 0.0170 memory: 17087 grad_norm: 5.1531 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5967 loss: 1.5967 2022/08/03 22:23:49 - mmengine - INFO - Epoch(train) [58][1200/1879] lr: 1.0000e-02 eta: 1 day, 20:39:29 time: 0.5951 data_time: 0.0690 memory: 17087 grad_norm: 5.0749 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4950 loss: 1.4950 2022/08/03 22:24:02 - mmengine - INFO - Epoch(train) [58][1220/1879] lr: 1.0000e-02 eta: 1 day, 20:39:34 time: 0.6376 data_time: 0.0316 memory: 17087 grad_norm: 4.9709 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5406 loss: 1.5406 2022/08/03 22:24:13 - mmengine - INFO - Epoch(train) [58][1240/1879] lr: 1.0000e-02 eta: 1 day, 20:39:34 time: 0.5500 data_time: 0.0192 memory: 17087 grad_norm: 5.1346 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6462 loss: 1.6462 2022/08/03 22:24:24 - mmengine - INFO - Epoch(train) [58][1260/1879] lr: 1.0000e-02 eta: 1 day, 20:39:33 time: 0.5499 data_time: 0.0154 memory: 17087 grad_norm: 4.9235 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5683 loss: 1.5683 2022/08/03 22:24:34 - mmengine - INFO - Epoch(train) [58][1280/1879] lr: 1.0000e-02 eta: 1 day, 20:39:31 time: 0.5265 data_time: 0.0186 memory: 17087 grad_norm: 4.9482 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5304 loss: 1.5304 2022/08/03 22:24:45 - mmengine - INFO - Epoch(train) [58][1300/1879] lr: 1.0000e-02 eta: 1 day, 20:39:30 time: 0.5371 data_time: 0.0150 memory: 17087 grad_norm: 5.1688 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6266 loss: 1.6266 2022/08/03 22:24:56 - mmengine - INFO - Epoch(train) [58][1320/1879] lr: 1.0000e-02 eta: 1 day, 20:39:29 time: 0.5427 data_time: 0.0253 memory: 17087 grad_norm: 4.8999 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5677 loss: 1.5677 2022/08/03 22:25:04 - mmengine - INFO - Epoch(train) [58][1340/1879] lr: 1.0000e-02 eta: 1 day, 20:39:20 time: 0.4226 data_time: 0.0149 memory: 17087 grad_norm: 4.8894 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6411 loss: 1.6411 2022/08/03 22:25:16 - mmengine - INFO - Epoch(train) [58][1360/1879] lr: 1.0000e-02 eta: 1 day, 20:39:20 time: 0.5619 data_time: 0.0167 memory: 17087 grad_norm: 5.0132 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6652 loss: 1.6652 2022/08/03 22:25:26 - mmengine - INFO - Epoch(train) [58][1380/1879] lr: 1.0000e-02 eta: 1 day, 20:39:18 time: 0.5301 data_time: 0.0161 memory: 17087 grad_norm: 5.0663 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7377 loss: 1.7377 2022/08/03 22:25:38 - mmengine - INFO - Epoch(train) [58][1400/1879] lr: 1.0000e-02 eta: 1 day, 20:39:21 time: 0.5944 data_time: 0.0168 memory: 17087 grad_norm: 4.9103 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5918 loss: 1.5918 2022/08/03 22:25:48 - mmengine - INFO - Epoch(train) [58][1420/1879] lr: 1.0000e-02 eta: 1 day, 20:39:15 time: 0.4780 data_time: 0.0367 memory: 17087 grad_norm: 4.8734 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7408 loss: 1.7408 2022/08/03 22:25:57 - mmengine - INFO - Epoch(train) [58][1440/1879] lr: 1.0000e-02 eta: 1 day, 20:39:09 time: 0.4687 data_time: 0.0139 memory: 17087 grad_norm: 5.0199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8295 loss: 1.8295 2022/08/03 22:26:08 - mmengine - INFO - Epoch(train) [58][1460/1879] lr: 1.0000e-02 eta: 1 day, 20:39:07 time: 0.5303 data_time: 0.0165 memory: 17087 grad_norm: 4.9975 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6633 loss: 1.6633 2022/08/03 22:26:18 - mmengine - INFO - Epoch(train) [58][1480/1879] lr: 1.0000e-02 eta: 1 day, 20:39:06 time: 0.5391 data_time: 0.0411 memory: 17087 grad_norm: 4.9463 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5463 loss: 1.5463 2022/08/03 22:26:31 - mmengine - INFO - Epoch(train) [58][1500/1879] lr: 1.0000e-02 eta: 1 day, 20:39:10 time: 0.6102 data_time: 0.0148 memory: 17087 grad_norm: 4.9601 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5817 loss: 1.5817 2022/08/03 22:26:43 - mmengine - INFO - Epoch(train) [58][1520/1879] lr: 1.0000e-02 eta: 1 day, 20:39:14 time: 0.6207 data_time: 0.0209 memory: 17087 grad_norm: 4.8753 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4545 loss: 1.4545 2022/08/03 22:26:54 - mmengine - INFO - Epoch(train) [58][1540/1879] lr: 1.0000e-02 eta: 1 day, 20:39:12 time: 0.5338 data_time: 0.0190 memory: 17087 grad_norm: 4.9425 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7247 loss: 1.7247 2022/08/03 22:27:06 - mmengine - INFO - Epoch(train) [58][1560/1879] lr: 1.0000e-02 eta: 1 day, 20:39:15 time: 0.6006 data_time: 0.0144 memory: 17087 grad_norm: 5.1245 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7181 loss: 1.7181 2022/08/03 22:27:16 - mmengine - INFO - Epoch(train) [58][1580/1879] lr: 1.0000e-02 eta: 1 day, 20:39:13 time: 0.5279 data_time: 0.0220 memory: 17087 grad_norm: 4.9591 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4329 loss: 1.4329 2022/08/03 22:27:25 - mmengine - INFO - Epoch(train) [58][1600/1879] lr: 1.0000e-02 eta: 1 day, 20:39:05 time: 0.4395 data_time: 0.0188 memory: 17087 grad_norm: 4.8305 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5930 loss: 1.5930 2022/08/03 22:27:36 - mmengine - INFO - Epoch(train) [58][1620/1879] lr: 1.0000e-02 eta: 1 day, 20:39:03 time: 0.5255 data_time: 0.0166 memory: 17087 grad_norm: 5.0832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5954 loss: 1.5954 2022/08/03 22:27:47 - mmengine - INFO - Epoch(train) [58][1640/1879] lr: 1.0000e-02 eta: 1 day, 20:39:02 time: 0.5479 data_time: 0.0162 memory: 17087 grad_norm: 4.9613 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5207 loss: 1.5207 2022/08/03 22:27:57 - mmengine - INFO - Epoch(train) [58][1660/1879] lr: 1.0000e-02 eta: 1 day, 20:39:00 time: 0.5278 data_time: 0.0159 memory: 17087 grad_norm: 5.0828 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6010 loss: 1.6010 2022/08/03 22:28:08 - mmengine - INFO - Epoch(train) [58][1680/1879] lr: 1.0000e-02 eta: 1 day, 20:38:57 time: 0.5181 data_time: 0.0155 memory: 17087 grad_norm: 5.1093 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4714 loss: 1.4714 2022/08/03 22:28:17 - mmengine - INFO - Epoch(train) [58][1700/1879] lr: 1.0000e-02 eta: 1 day, 20:38:52 time: 0.4809 data_time: 0.0162 memory: 17087 grad_norm: 5.1603 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7811 loss: 1.7811 2022/08/03 22:28:28 - mmengine - INFO - Epoch(train) [58][1720/1879] lr: 1.0000e-02 eta: 1 day, 20:38:49 time: 0.5164 data_time: 0.0136 memory: 17087 grad_norm: 4.8302 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6167 loss: 1.6167 2022/08/03 22:28:38 - mmengine - INFO - Epoch(train) [58][1740/1879] lr: 1.0000e-02 eta: 1 day, 20:38:48 time: 0.5437 data_time: 0.0154 memory: 17087 grad_norm: 5.0604 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6845 loss: 1.6845 2022/08/03 22:28:50 - mmengine - INFO - Epoch(train) [58][1760/1879] lr: 1.0000e-02 eta: 1 day, 20:38:48 time: 0.5589 data_time: 0.0160 memory: 17087 grad_norm: 5.1532 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.8229 loss: 1.8229 2022/08/03 22:29:00 - mmengine - INFO - Epoch(train) [58][1780/1879] lr: 1.0000e-02 eta: 1 day, 20:38:45 time: 0.5112 data_time: 0.0219 memory: 17087 grad_norm: 5.0375 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.5070 loss: 1.5070 2022/08/03 22:29:11 - mmengine - INFO - Epoch(train) [58][1800/1879] lr: 1.0000e-02 eta: 1 day, 20:38:44 time: 0.5479 data_time: 0.0278 memory: 17087 grad_norm: 5.0984 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5585 loss: 1.5585 2022/08/03 22:29:24 - mmengine - INFO - Epoch(train) [58][1820/1879] lr: 1.0000e-02 eta: 1 day, 20:38:50 time: 0.6368 data_time: 0.1429 memory: 17087 grad_norm: 5.0007 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4110 loss: 1.4110 2022/08/03 22:29:32 - mmengine - INFO - Epoch(train) [58][1840/1879] lr: 1.0000e-02 eta: 1 day, 20:38:41 time: 0.4320 data_time: 0.0122 memory: 17087 grad_norm: 4.9939 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5305 loss: 1.5305 2022/08/03 22:29:43 - mmengine - INFO - Epoch(train) [58][1860/1879] lr: 1.0000e-02 eta: 1 day, 20:38:40 time: 0.5412 data_time: 0.0142 memory: 17087 grad_norm: 4.9607 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4930 loss: 1.4930 2022/08/03 22:29:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 22:29:53 - mmengine - INFO - Epoch(train) [58][1879/1879] lr: 1.0000e-02 eta: 1 day, 20:38:40 time: 0.5171 data_time: 0.0154 memory: 17087 grad_norm: 5.1064 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.5254 loss: 1.5254 2022/08/03 22:30:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 22:30:04 - mmengine - INFO - Epoch(train) [59][20/1879] lr: 1.0000e-02 eta: 1 day, 20:38:03 time: 0.5505 data_time: 0.1280 memory: 17087 grad_norm: 4.9632 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5446 loss: 1.5446 2022/08/03 22:30:13 - mmengine - INFO - Epoch(train) [59][40/1879] lr: 1.0000e-02 eta: 1 day, 20:37:55 time: 0.4358 data_time: 0.0159 memory: 17087 grad_norm: 4.9582 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5519 loss: 1.5519 2022/08/03 22:30:21 - mmengine - INFO - Epoch(train) [59][60/1879] lr: 1.0000e-02 eta: 1 day, 20:37:46 time: 0.4258 data_time: 0.0177 memory: 17087 grad_norm: 4.8693 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4193 loss: 1.4193 2022/08/03 22:30:30 - mmengine - INFO - Epoch(train) [59][80/1879] lr: 1.0000e-02 eta: 1 day, 20:37:37 time: 0.4256 data_time: 0.0157 memory: 17087 grad_norm: 4.9842 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3453 loss: 1.3453 2022/08/03 22:30:38 - mmengine - INFO - Epoch(train) [59][100/1879] lr: 1.0000e-02 eta: 1 day, 20:37:28 time: 0.4271 data_time: 0.0154 memory: 17087 grad_norm: 5.0424 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4297 loss: 1.4297 2022/08/03 22:30:47 - mmengine - INFO - Epoch(train) [59][120/1879] lr: 1.0000e-02 eta: 1 day, 20:37:19 time: 0.4275 data_time: 0.0160 memory: 17087 grad_norm: 4.9838 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5516 loss: 1.5516 2022/08/03 22:30:56 - mmengine - INFO - Epoch(train) [59][140/1879] lr: 1.0000e-02 eta: 1 day, 20:37:10 time: 0.4309 data_time: 0.0162 memory: 17087 grad_norm: 5.0396 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7389 loss: 1.7389 2022/08/03 22:31:04 - mmengine - INFO - Epoch(train) [59][160/1879] lr: 1.0000e-02 eta: 1 day, 20:37:02 time: 0.4370 data_time: 0.0154 memory: 17087 grad_norm: 5.0975 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6822 loss: 1.6822 2022/08/03 22:31:13 - mmengine - INFO - Epoch(train) [59][180/1879] lr: 1.0000e-02 eta: 1 day, 20:36:55 time: 0.4517 data_time: 0.0154 memory: 17087 grad_norm: 5.0627 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5700 loss: 1.5700 2022/08/03 22:31:22 - mmengine - INFO - Epoch(train) [59][200/1879] lr: 1.0000e-02 eta: 1 day, 20:36:46 time: 0.4297 data_time: 0.0197 memory: 17087 grad_norm: 5.0237 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5026 loss: 1.5026 2022/08/03 22:31:31 - mmengine - INFO - Epoch(train) [59][220/1879] lr: 1.0000e-02 eta: 1 day, 20:36:38 time: 0.4510 data_time: 0.0156 memory: 17087 grad_norm: 4.8979 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5375 loss: 1.5375 2022/08/03 22:31:39 - mmengine - INFO - Epoch(train) [59][240/1879] lr: 1.0000e-02 eta: 1 day, 20:36:29 time: 0.4255 data_time: 0.0159 memory: 17087 grad_norm: 5.0855 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5323 loss: 1.5323 2022/08/03 22:31:48 - mmengine - INFO - Epoch(train) [59][260/1879] lr: 1.0000e-02 eta: 1 day, 20:36:20 time: 0.4237 data_time: 0.0135 memory: 17087 grad_norm: 4.9416 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3750 loss: 1.3750 2022/08/03 22:31:57 - mmengine - INFO - Epoch(train) [59][280/1879] lr: 1.0000e-02 eta: 1 day, 20:36:12 time: 0.4348 data_time: 0.0166 memory: 17087 grad_norm: 5.0348 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6416 loss: 1.6416 2022/08/03 22:32:05 - mmengine - INFO - Epoch(train) [59][300/1879] lr: 1.0000e-02 eta: 1 day, 20:36:03 time: 0.4254 data_time: 0.0167 memory: 17087 grad_norm: 5.0972 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5396 loss: 1.5396 2022/08/03 22:32:14 - mmengine - INFO - Epoch(train) [59][320/1879] lr: 1.0000e-02 eta: 1 day, 20:35:54 time: 0.4382 data_time: 0.0166 memory: 17087 grad_norm: 4.9750 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6410 loss: 1.6410 2022/08/03 22:32:22 - mmengine - INFO - Epoch(train) [59][340/1879] lr: 1.0000e-02 eta: 1 day, 20:35:45 time: 0.4255 data_time: 0.0143 memory: 17087 grad_norm: 4.8807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5249 loss: 1.5249 2022/08/03 22:32:32 - mmengine - INFO - Epoch(train) [59][360/1879] lr: 1.0000e-02 eta: 1 day, 20:35:38 time: 0.4531 data_time: 0.0168 memory: 17087 grad_norm: 4.9847 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5743 loss: 1.5743 2022/08/03 22:32:40 - mmengine - INFO - Epoch(train) [59][380/1879] lr: 1.0000e-02 eta: 1 day, 20:35:29 time: 0.4249 data_time: 0.0146 memory: 17087 grad_norm: 5.0454 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6331 loss: 1.6331 2022/08/03 22:32:49 - mmengine - INFO - Epoch(train) [59][400/1879] lr: 1.0000e-02 eta: 1 day, 20:35:20 time: 0.4305 data_time: 0.0205 memory: 17087 grad_norm: 4.9562 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4372 loss: 1.4372 2022/08/03 22:32:58 - mmengine - INFO - Epoch(train) [59][420/1879] lr: 1.0000e-02 eta: 1 day, 20:35:13 time: 0.4584 data_time: 0.0150 memory: 17087 grad_norm: 4.9574 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5712 loss: 1.5712 2022/08/03 22:33:07 - mmengine - INFO - Epoch(train) [59][440/1879] lr: 1.0000e-02 eta: 1 day, 20:35:06 time: 0.4530 data_time: 0.0204 memory: 17087 grad_norm: 4.9431 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5297 loss: 1.5297 2022/08/03 22:33:15 - mmengine - INFO - Epoch(train) [59][460/1879] lr: 1.0000e-02 eta: 1 day, 20:34:57 time: 0.4251 data_time: 0.0142 memory: 17087 grad_norm: 5.2534 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4912 loss: 1.4912 2022/08/03 22:33:24 - mmengine - INFO - Epoch(train) [59][480/1879] lr: 1.0000e-02 eta: 1 day, 20:34:48 time: 0.4279 data_time: 0.0166 memory: 17087 grad_norm: 5.0141 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5176 loss: 1.5176 2022/08/03 22:33:33 - mmengine - INFO - Epoch(train) [59][500/1879] lr: 1.0000e-02 eta: 1 day, 20:34:40 time: 0.4424 data_time: 0.0157 memory: 17087 grad_norm: 5.0105 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7168 loss: 1.7168 2022/08/03 22:33:41 - mmengine - INFO - Epoch(train) [59][520/1879] lr: 1.0000e-02 eta: 1 day, 20:34:32 time: 0.4303 data_time: 0.0151 memory: 17087 grad_norm: 5.1883 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6822 loss: 1.6822 2022/08/03 22:33:50 - mmengine - INFO - Epoch(train) [59][540/1879] lr: 1.0000e-02 eta: 1 day, 20:34:22 time: 0.4259 data_time: 0.0167 memory: 17087 grad_norm: 4.9550 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6003 loss: 1.6003 2022/08/03 22:33:59 - mmengine - INFO - Epoch(train) [59][560/1879] lr: 1.0000e-02 eta: 1 day, 20:34:16 time: 0.4575 data_time: 0.0162 memory: 17087 grad_norm: 5.1849 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6868 loss: 1.6868 2022/08/03 22:34:08 - mmengine - INFO - Epoch(train) [59][580/1879] lr: 1.0000e-02 eta: 1 day, 20:34:07 time: 0.4306 data_time: 0.0175 memory: 17087 grad_norm: 5.1070 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7330 loss: 1.7330 2022/08/03 22:34:16 - mmengine - INFO - Epoch(train) [59][600/1879] lr: 1.0000e-02 eta: 1 day, 20:33:58 time: 0.4322 data_time: 0.0160 memory: 17087 grad_norm: 4.9118 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4704 loss: 1.4704 2022/08/03 22:34:25 - mmengine - INFO - Epoch(train) [59][620/1879] lr: 1.0000e-02 eta: 1 day, 20:33:49 time: 0.4260 data_time: 0.0146 memory: 17087 grad_norm: 4.8466 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4844 loss: 1.4844 2022/08/03 22:34:34 - mmengine - INFO - Epoch(train) [59][640/1879] lr: 1.0000e-02 eta: 1 day, 20:33:42 time: 0.4550 data_time: 0.0163 memory: 17087 grad_norm: 5.1120 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7927 loss: 1.7927 2022/08/03 22:34:43 - mmengine - INFO - Epoch(train) [59][660/1879] lr: 1.0000e-02 eta: 1 day, 20:33:33 time: 0.4285 data_time: 0.0160 memory: 17087 grad_norm: 5.1108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5319 loss: 1.5319 2022/08/03 22:34:51 - mmengine - INFO - Epoch(train) [59][680/1879] lr: 1.0000e-02 eta: 1 day, 20:33:24 time: 0.4304 data_time: 0.0160 memory: 17087 grad_norm: 5.1347 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5807 loss: 1.5807 2022/08/03 22:35:00 - mmengine - INFO - Epoch(train) [59][700/1879] lr: 1.0000e-02 eta: 1 day, 20:33:15 time: 0.4255 data_time: 0.0150 memory: 17087 grad_norm: 5.1341 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5846 loss: 1.5846 2022/08/03 22:35:09 - mmengine - INFO - Epoch(train) [59][720/1879] lr: 1.0000e-02 eta: 1 day, 20:33:08 time: 0.4468 data_time: 0.0163 memory: 17087 grad_norm: 5.2802 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5348 loss: 1.5348 2022/08/03 22:35:18 - mmengine - INFO - Epoch(train) [59][740/1879] lr: 1.0000e-02 eta: 1 day, 20:33:00 time: 0.4415 data_time: 0.0150 memory: 17087 grad_norm: 5.0950 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7275 loss: 1.7275 2022/08/03 22:35:26 - mmengine - INFO - Epoch(train) [59][760/1879] lr: 1.0000e-02 eta: 1 day, 20:32:51 time: 0.4271 data_time: 0.0184 memory: 17087 grad_norm: 5.1651 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7205 loss: 1.7205 2022/08/03 22:35:35 - mmengine - INFO - Epoch(train) [59][780/1879] lr: 1.0000e-02 eta: 1 day, 20:32:42 time: 0.4329 data_time: 0.0156 memory: 17087 grad_norm: 5.1160 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6899 loss: 1.6899 2022/08/03 22:35:47 - mmengine - INFO - Epoch(train) [59][800/1879] lr: 1.0000e-02 eta: 1 day, 20:32:44 time: 0.5923 data_time: 0.0185 memory: 17087 grad_norm: 5.1519 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4988 loss: 1.4988 2022/08/03 22:35:56 - mmengine - INFO - Epoch(train) [59][820/1879] lr: 1.0000e-02 eta: 1 day, 20:32:37 time: 0.4481 data_time: 0.0189 memory: 17087 grad_norm: 5.0223 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7155 loss: 1.7155 2022/08/03 22:36:07 - mmengine - INFO - Epoch(train) [59][840/1879] lr: 1.0000e-02 eta: 1 day, 20:32:36 time: 0.5491 data_time: 0.1323 memory: 17087 grad_norm: 4.9926 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5293 loss: 1.5293 2022/08/03 22:36:20 - mmengine - INFO - Epoch(train) [59][860/1879] lr: 1.0000e-02 eta: 1 day, 20:32:45 time: 0.6900 data_time: 0.0165 memory: 17087 grad_norm: 4.8889 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4714 loss: 1.4714 2022/08/03 22:36:32 - mmengine - INFO - Epoch(train) [59][880/1879] lr: 1.0000e-02 eta: 1 day, 20:32:46 time: 0.5792 data_time: 0.0181 memory: 17087 grad_norm: 4.8954 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5676 loss: 1.5676 2022/08/03 22:36:41 - mmengine - INFO - Epoch(train) [59][900/1879] lr: 1.0000e-02 eta: 1 day, 20:32:38 time: 0.4368 data_time: 0.0174 memory: 17087 grad_norm: 4.9773 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6208 loss: 1.6208 2022/08/03 22:36:53 - mmengine - INFO - Epoch(train) [59][920/1879] lr: 1.0000e-02 eta: 1 day, 20:32:42 time: 0.6152 data_time: 0.0154 memory: 17087 grad_norm: 5.0499 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4928 loss: 1.4928 2022/08/03 22:37:04 - mmengine - INFO - Epoch(train) [59][940/1879] lr: 1.0000e-02 eta: 1 day, 20:32:40 time: 0.5338 data_time: 0.0727 memory: 17087 grad_norm: 4.9738 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5953 loss: 1.5953 2022/08/03 22:37:15 - mmengine - INFO - Epoch(train) [59][960/1879] lr: 1.0000e-02 eta: 1 day, 20:32:39 time: 0.5420 data_time: 0.0146 memory: 17087 grad_norm: 5.0721 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4147 loss: 1.4147 2022/08/03 22:37:23 - mmengine - INFO - Epoch(train) [59][980/1879] lr: 1.0000e-02 eta: 1 day, 20:32:30 time: 0.4327 data_time: 0.0244 memory: 17087 grad_norm: 5.1496 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5007 loss: 1.5007 2022/08/03 22:37:35 - mmengine - INFO - Epoch(train) [59][1000/1879] lr: 1.0000e-02 eta: 1 day, 20:32:30 time: 0.5659 data_time: 0.0161 memory: 17087 grad_norm: 5.0485 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5184 loss: 1.5184 2022/08/03 22:37:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 22:37:43 - mmengine - INFO - Epoch(train) [59][1020/1879] lr: 1.0000e-02 eta: 1 day, 20:32:22 time: 0.4357 data_time: 0.0226 memory: 17087 grad_norm: 5.0946 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7095 loss: 1.7095 2022/08/03 22:37:52 - mmengine - INFO - Epoch(train) [59][1040/1879] lr: 1.0000e-02 eta: 1 day, 20:32:13 time: 0.4290 data_time: 0.0170 memory: 17087 grad_norm: 5.0692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4446 loss: 1.4446 2022/08/03 22:38:00 - mmengine - INFO - Epoch(train) [59][1060/1879] lr: 1.0000e-02 eta: 1 day, 20:32:04 time: 0.4265 data_time: 0.0156 memory: 17087 grad_norm: 5.1267 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5681 loss: 1.5681 2022/08/03 22:38:09 - mmengine - INFO - Epoch(train) [59][1080/1879] lr: 1.0000e-02 eta: 1 day, 20:31:55 time: 0.4267 data_time: 0.0163 memory: 17087 grad_norm: 5.1351 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5611 loss: 1.5611 2022/08/03 22:38:18 - mmengine - INFO - Epoch(train) [59][1100/1879] lr: 1.0000e-02 eta: 1 day, 20:31:48 time: 0.4512 data_time: 0.0163 memory: 17087 grad_norm: 5.1071 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7402 loss: 1.7402 2022/08/03 22:38:27 - mmengine - INFO - Epoch(train) [59][1120/1879] lr: 1.0000e-02 eta: 1 day, 20:31:39 time: 0.4296 data_time: 0.0142 memory: 17087 grad_norm: 5.0097 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4839 loss: 1.4839 2022/08/03 22:38:36 - mmengine - INFO - Epoch(train) [59][1140/1879] lr: 1.0000e-02 eta: 1 day, 20:31:32 time: 0.4514 data_time: 0.0173 memory: 17087 grad_norm: 4.9991 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4766 loss: 1.4766 2022/08/03 22:38:44 - mmengine - INFO - Epoch(train) [59][1160/1879] lr: 1.0000e-02 eta: 1 day, 20:31:23 time: 0.4308 data_time: 0.0150 memory: 17087 grad_norm: 5.0391 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6300 loss: 1.6300 2022/08/03 22:38:53 - mmengine - INFO - Epoch(train) [59][1180/1879] lr: 1.0000e-02 eta: 1 day, 20:31:14 time: 0.4322 data_time: 0.0164 memory: 17087 grad_norm: 4.9848 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6093 loss: 1.6093 2022/08/03 22:39:01 - mmengine - INFO - Epoch(train) [59][1200/1879] lr: 1.0000e-02 eta: 1 day, 20:31:05 time: 0.4253 data_time: 0.0139 memory: 17087 grad_norm: 4.9932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5326 loss: 1.5326 2022/08/03 22:39:10 - mmengine - INFO - Epoch(train) [59][1220/1879] lr: 1.0000e-02 eta: 1 day, 20:30:56 time: 0.4261 data_time: 0.0162 memory: 17087 grad_norm: 4.9626 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5277 loss: 1.5277 2022/08/03 22:39:19 - mmengine - INFO - Epoch(train) [59][1240/1879] lr: 1.0000e-02 eta: 1 day, 20:30:49 time: 0.4530 data_time: 0.0145 memory: 17087 grad_norm: 5.0447 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6979 loss: 1.6979 2022/08/03 22:39:27 - mmengine - INFO - Epoch(train) [59][1260/1879] lr: 1.0000e-02 eta: 1 day, 20:30:40 time: 0.4264 data_time: 0.0155 memory: 17087 grad_norm: 5.1294 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5034 loss: 1.5034 2022/08/03 22:39:36 - mmengine - INFO - Epoch(train) [59][1280/1879] lr: 1.0000e-02 eta: 1 day, 20:30:32 time: 0.4433 data_time: 0.0136 memory: 17087 grad_norm: 5.0101 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6670 loss: 1.6670 2022/08/03 22:39:45 - mmengine - INFO - Epoch(train) [59][1300/1879] lr: 1.0000e-02 eta: 1 day, 20:30:23 time: 0.4314 data_time: 0.0195 memory: 17087 grad_norm: 4.9109 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3854 loss: 1.3854 2022/08/03 22:39:54 - mmengine - INFO - Epoch(train) [59][1320/1879] lr: 1.0000e-02 eta: 1 day, 20:30:14 time: 0.4292 data_time: 0.0152 memory: 17087 grad_norm: 5.1869 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5696 loss: 1.5696 2022/08/03 22:40:02 - mmengine - INFO - Epoch(train) [59][1340/1879] lr: 1.0000e-02 eta: 1 day, 20:30:06 time: 0.4394 data_time: 0.0173 memory: 17087 grad_norm: 5.1220 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4345 loss: 1.4345 2022/08/03 22:40:13 - mmengine - INFO - Epoch(train) [59][1360/1879] lr: 1.0000e-02 eta: 1 day, 20:30:05 time: 0.5364 data_time: 0.0134 memory: 17087 grad_norm: 4.9209 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6223 loss: 1.6223 2022/08/03 22:40:22 - mmengine - INFO - Epoch(train) [59][1380/1879] lr: 1.0000e-02 eta: 1 day, 20:29:56 time: 0.4261 data_time: 0.0173 memory: 17087 grad_norm: 4.8913 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6052 loss: 1.6052 2022/08/03 22:40:30 - mmengine - INFO - Epoch(train) [59][1400/1879] lr: 1.0000e-02 eta: 1 day, 20:29:46 time: 0.4255 data_time: 0.0134 memory: 17087 grad_norm: 5.1573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7489 loss: 1.7489 2022/08/03 22:40:39 - mmengine - INFO - Epoch(train) [59][1420/1879] lr: 1.0000e-02 eta: 1 day, 20:29:38 time: 0.4331 data_time: 0.0158 memory: 17087 grad_norm: 5.0962 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5652 loss: 1.5652 2022/08/03 22:40:48 - mmengine - INFO - Epoch(train) [59][1440/1879] lr: 1.0000e-02 eta: 1 day, 20:29:30 time: 0.4413 data_time: 0.0131 memory: 17087 grad_norm: 5.1041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5659 loss: 1.5659 2022/08/03 22:40:56 - mmengine - INFO - Epoch(train) [59][1460/1879] lr: 1.0000e-02 eta: 1 day, 20:29:21 time: 0.4311 data_time: 0.0177 memory: 17087 grad_norm: 5.0991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6264 loss: 1.6264 2022/08/03 22:41:05 - mmengine - INFO - Epoch(train) [59][1480/1879] lr: 1.0000e-02 eta: 1 day, 20:29:13 time: 0.4468 data_time: 0.0143 memory: 17087 grad_norm: 5.0666 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5906 loss: 1.5906 2022/08/03 22:41:14 - mmengine - INFO - Epoch(train) [59][1500/1879] lr: 1.0000e-02 eta: 1 day, 20:29:05 time: 0.4277 data_time: 0.0172 memory: 17087 grad_norm: 5.0933 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5520 loss: 1.5520 2022/08/03 22:41:23 - mmengine - INFO - Epoch(train) [59][1520/1879] lr: 1.0000e-02 eta: 1 day, 20:28:57 time: 0.4458 data_time: 0.0152 memory: 17087 grad_norm: 5.0956 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4711 loss: 1.4711 2022/08/03 22:41:31 - mmengine - INFO - Epoch(train) [59][1540/1879] lr: 1.0000e-02 eta: 1 day, 20:28:48 time: 0.4278 data_time: 0.0159 memory: 17087 grad_norm: 4.9815 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5079 loss: 1.5079 2022/08/03 22:41:40 - mmengine - INFO - Epoch(train) [59][1560/1879] lr: 1.0000e-02 eta: 1 day, 20:28:39 time: 0.4298 data_time: 0.0170 memory: 17087 grad_norm: 4.9629 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5247 loss: 1.5247 2022/08/03 22:41:49 - mmengine - INFO - Epoch(train) [59][1580/1879] lr: 1.0000e-02 eta: 1 day, 20:28:31 time: 0.4467 data_time: 0.0168 memory: 17087 grad_norm: 5.1033 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7199 loss: 1.7199 2022/08/03 22:41:57 - mmengine - INFO - Epoch(train) [59][1600/1879] lr: 1.0000e-02 eta: 1 day, 20:28:22 time: 0.4263 data_time: 0.0145 memory: 17087 grad_norm: 5.0321 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3478 loss: 1.3478 2022/08/03 22:42:06 - mmengine - INFO - Epoch(train) [59][1620/1879] lr: 1.0000e-02 eta: 1 day, 20:28:15 time: 0.4530 data_time: 0.0158 memory: 17087 grad_norm: 5.0613 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4865 loss: 1.4865 2022/08/03 22:42:15 - mmengine - INFO - Epoch(train) [59][1640/1879] lr: 1.0000e-02 eta: 1 day, 20:28:06 time: 0.4249 data_time: 0.0134 memory: 17087 grad_norm: 5.0526 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5417 loss: 1.5417 2022/08/03 22:42:24 - mmengine - INFO - Epoch(train) [59][1660/1879] lr: 1.0000e-02 eta: 1 day, 20:27:58 time: 0.4479 data_time: 0.0160 memory: 17087 grad_norm: 5.1280 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4638 loss: 1.4638 2022/08/03 22:42:33 - mmengine - INFO - Epoch(train) [59][1680/1879] lr: 1.0000e-02 eta: 1 day, 20:27:50 time: 0.4309 data_time: 0.0176 memory: 17087 grad_norm: 4.9554 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5850 loss: 1.5850 2022/08/03 22:42:41 - mmengine - INFO - Epoch(train) [59][1700/1879] lr: 1.0000e-02 eta: 1 day, 20:27:41 time: 0.4258 data_time: 0.0149 memory: 17087 grad_norm: 4.9665 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5930 loss: 1.5930 2022/08/03 22:42:50 - mmengine - INFO - Epoch(train) [59][1720/1879] lr: 1.0000e-02 eta: 1 day, 20:27:32 time: 0.4273 data_time: 0.0146 memory: 17087 grad_norm: 5.2804 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.6575 loss: 1.6575 2022/08/03 22:42:58 - mmengine - INFO - Epoch(train) [59][1740/1879] lr: 1.0000e-02 eta: 1 day, 20:27:23 time: 0.4310 data_time: 0.0163 memory: 17087 grad_norm: 5.2066 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7158 loss: 1.7158 2022/08/03 22:43:07 - mmengine - INFO - Epoch(train) [59][1760/1879] lr: 1.0000e-02 eta: 1 day, 20:27:14 time: 0.4279 data_time: 0.0156 memory: 17087 grad_norm: 5.0225 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5818 loss: 1.5818 2022/08/03 22:43:15 - mmengine - INFO - Epoch(train) [59][1780/1879] lr: 1.0000e-02 eta: 1 day, 20:27:05 time: 0.4252 data_time: 0.0157 memory: 17087 grad_norm: 4.9119 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.4926 loss: 1.4926 2022/08/03 22:43:24 - mmengine - INFO - Epoch(train) [59][1800/1879] lr: 1.0000e-02 eta: 1 day, 20:26:56 time: 0.4245 data_time: 0.0136 memory: 17087 grad_norm: 4.8730 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5724 loss: 1.5724 2022/08/03 22:43:33 - mmengine - INFO - Epoch(train) [59][1820/1879] lr: 1.0000e-02 eta: 1 day, 20:26:47 time: 0.4332 data_time: 0.0162 memory: 17087 grad_norm: 4.9795 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5737 loss: 1.5737 2022/08/03 22:43:41 - mmengine - INFO - Epoch(train) [59][1840/1879] lr: 1.0000e-02 eta: 1 day, 20:26:38 time: 0.4293 data_time: 0.0152 memory: 17087 grad_norm: 5.0779 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4752 loss: 1.4752 2022/08/03 22:43:53 - mmengine - INFO - Epoch(train) [59][1860/1879] lr: 1.0000e-02 eta: 1 day, 20:26:40 time: 0.5858 data_time: 0.0148 memory: 17087 grad_norm: 5.0325 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4359 loss: 1.4359 2022/08/03 22:44:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 22:44:00 - mmengine - INFO - Epoch(train) [59][1879/1879] lr: 1.0000e-02 eta: 1 day, 20:26:40 time: 0.4040 data_time: 0.0161 memory: 17087 grad_norm: 5.2271 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.6271 loss: 1.6271 2022/08/03 22:44:12 - mmengine - INFO - Epoch(train) [60][20/1879] lr: 1.0000e-02 eta: 1 day, 20:26:03 time: 0.5499 data_time: 0.1158 memory: 17087 grad_norm: 5.0602 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5516 loss: 1.5516 2022/08/03 22:44:20 - mmengine - INFO - Epoch(train) [60][40/1879] lr: 1.0000e-02 eta: 1 day, 20:25:55 time: 0.4274 data_time: 0.0157 memory: 17087 grad_norm: 4.8881 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4297 loss: 1.4297 2022/08/03 22:44:29 - mmengine - INFO - Epoch(train) [60][60/1879] lr: 1.0000e-02 eta: 1 day, 20:25:46 time: 0.4346 data_time: 0.0152 memory: 17087 grad_norm: 4.9699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4513 loss: 1.4513 2022/08/03 22:44:37 - mmengine - INFO - Epoch(train) [60][80/1879] lr: 1.0000e-02 eta: 1 day, 20:25:37 time: 0.4255 data_time: 0.0158 memory: 17087 grad_norm: 5.1164 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4683 loss: 1.4683 2022/08/03 22:44:46 - mmengine - INFO - Epoch(train) [60][100/1879] lr: 1.0000e-02 eta: 1 day, 20:25:30 time: 0.4503 data_time: 0.0149 memory: 17087 grad_norm: 5.1678 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6263 loss: 1.6263 2022/08/03 22:44:55 - mmengine - INFO - Epoch(train) [60][120/1879] lr: 1.0000e-02 eta: 1 day, 20:25:21 time: 0.4338 data_time: 0.0175 memory: 17087 grad_norm: 5.0720 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4417 loss: 1.4417 2022/08/03 22:45:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 22:45:04 - mmengine - INFO - Epoch(train) [60][140/1879] lr: 1.0000e-02 eta: 1 day, 20:25:12 time: 0.4297 data_time: 0.0155 memory: 17087 grad_norm: 5.1988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4727 loss: 1.4727 2022/08/03 22:45:12 - mmengine - INFO - Epoch(train) [60][160/1879] lr: 1.0000e-02 eta: 1 day, 20:25:03 time: 0.4295 data_time: 0.0187 memory: 17087 grad_norm: 5.0994 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6464 loss: 1.6464 2022/08/03 22:45:21 - mmengine - INFO - Epoch(train) [60][180/1879] lr: 1.0000e-02 eta: 1 day, 20:24:54 time: 0.4241 data_time: 0.0139 memory: 17087 grad_norm: 4.9566 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5160 loss: 1.5160 2022/08/03 22:45:29 - mmengine - INFO - Epoch(train) [60][200/1879] lr: 1.0000e-02 eta: 1 day, 20:24:45 time: 0.4258 data_time: 0.0155 memory: 17087 grad_norm: 5.0945 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7045 loss: 1.7045 2022/08/03 22:45:38 - mmengine - INFO - Epoch(train) [60][220/1879] lr: 1.0000e-02 eta: 1 day, 20:24:36 time: 0.4289 data_time: 0.0150 memory: 17087 grad_norm: 4.9039 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4213 loss: 1.4213 2022/08/03 22:45:46 - mmengine - INFO - Epoch(train) [60][240/1879] lr: 1.0000e-02 eta: 1 day, 20:24:27 time: 0.4254 data_time: 0.0153 memory: 17087 grad_norm: 4.9683 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7026 loss: 1.7026 2022/08/03 22:45:55 - mmengine - INFO - Epoch(train) [60][260/1879] lr: 1.0000e-02 eta: 1 day, 20:24:20 time: 0.4473 data_time: 0.0143 memory: 17087 grad_norm: 4.9734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4084 loss: 1.4084 2022/08/03 22:46:04 - mmengine - INFO - Epoch(train) [60][280/1879] lr: 1.0000e-02 eta: 1 day, 20:24:11 time: 0.4285 data_time: 0.0171 memory: 17087 grad_norm: 5.0197 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5034 loss: 1.5034 2022/08/03 22:46:13 - mmengine - INFO - Epoch(train) [60][300/1879] lr: 1.0000e-02 eta: 1 day, 20:24:03 time: 0.4438 data_time: 0.0160 memory: 17087 grad_norm: 5.0314 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5634 loss: 1.5634 2022/08/03 22:46:21 - mmengine - INFO - Epoch(train) [60][320/1879] lr: 1.0000e-02 eta: 1 day, 20:23:54 time: 0.4260 data_time: 0.0151 memory: 17087 grad_norm: 4.9403 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7053 loss: 1.7053 2022/08/03 22:46:30 - mmengine - INFO - Epoch(train) [60][340/1879] lr: 1.0000e-02 eta: 1 day, 20:23:45 time: 0.4255 data_time: 0.0138 memory: 17087 grad_norm: 4.9918 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6072 loss: 1.6072 2022/08/03 22:46:39 - mmengine - INFO - Epoch(train) [60][360/1879] lr: 1.0000e-02 eta: 1 day, 20:23:38 time: 0.4559 data_time: 0.0162 memory: 17087 grad_norm: 4.9150 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3945 loss: 1.3945 2022/08/03 22:46:47 - mmengine - INFO - Epoch(train) [60][380/1879] lr: 1.0000e-02 eta: 1 day, 20:23:28 time: 0.4239 data_time: 0.0146 memory: 17087 grad_norm: 5.0302 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5827 loss: 1.5827 2022/08/03 22:46:56 - mmengine - INFO - Epoch(train) [60][400/1879] lr: 1.0000e-02 eta: 1 day, 20:23:20 time: 0.4329 data_time: 0.0170 memory: 17087 grad_norm: 4.9844 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4580 loss: 1.4580 2022/08/03 22:47:05 - mmengine - INFO - Epoch(train) [60][420/1879] lr: 1.0000e-02 eta: 1 day, 20:23:11 time: 0.4249 data_time: 0.0138 memory: 17087 grad_norm: 4.8001 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7360 loss: 1.7360 2022/08/03 22:47:13 - mmengine - INFO - Epoch(train) [60][440/1879] lr: 1.0000e-02 eta: 1 day, 20:23:02 time: 0.4275 data_time: 0.0169 memory: 17087 grad_norm: 5.0751 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4623 loss: 1.4623 2022/08/03 22:47:22 - mmengine - INFO - Epoch(train) [60][460/1879] lr: 1.0000e-02 eta: 1 day, 20:22:53 time: 0.4251 data_time: 0.0132 memory: 17087 grad_norm: 4.9988 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7522 loss: 1.7522 2022/08/03 22:47:30 - mmengine - INFO - Epoch(train) [60][480/1879] lr: 1.0000e-02 eta: 1 day, 20:22:44 time: 0.4269 data_time: 0.0158 memory: 17087 grad_norm: 4.9770 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3802 loss: 1.3802 2022/08/03 22:47:39 - mmengine - INFO - Epoch(train) [60][500/1879] lr: 1.0000e-02 eta: 1 day, 20:22:35 time: 0.4257 data_time: 0.0137 memory: 17087 grad_norm: 5.0405 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4714 loss: 1.4714 2022/08/03 22:47:48 - mmengine - INFO - Epoch(train) [60][520/1879] lr: 1.0000e-02 eta: 1 day, 20:22:27 time: 0.4424 data_time: 0.0188 memory: 17087 grad_norm: 4.8920 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5898 loss: 1.5898 2022/08/03 22:47:56 - mmengine - INFO - Epoch(train) [60][540/1879] lr: 1.0000e-02 eta: 1 day, 20:22:18 time: 0.4299 data_time: 0.0131 memory: 17087 grad_norm: 4.8165 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5664 loss: 1.5664 2022/08/03 22:48:05 - mmengine - INFO - Epoch(train) [60][560/1879] lr: 1.0000e-02 eta: 1 day, 20:22:09 time: 0.4273 data_time: 0.0170 memory: 17087 grad_norm: 5.0789 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5118 loss: 1.5118 2022/08/03 22:48:13 - mmengine - INFO - Epoch(train) [60][580/1879] lr: 1.0000e-02 eta: 1 day, 20:22:00 time: 0.4276 data_time: 0.0151 memory: 17087 grad_norm: 5.0660 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4625 loss: 1.4625 2022/08/03 22:48:22 - mmengine - INFO - Epoch(train) [60][600/1879] lr: 1.0000e-02 eta: 1 day, 20:21:51 time: 0.4293 data_time: 0.0175 memory: 17087 grad_norm: 5.1008 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7940 loss: 1.7940 2022/08/03 22:48:30 - mmengine - INFO - Epoch(train) [60][620/1879] lr: 1.0000e-02 eta: 1 day, 20:21:42 time: 0.4260 data_time: 0.0133 memory: 17087 grad_norm: 5.0493 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5653 loss: 1.5653 2022/08/03 22:48:39 - mmengine - INFO - Epoch(train) [60][640/1879] lr: 1.0000e-02 eta: 1 day, 20:21:34 time: 0.4450 data_time: 0.0161 memory: 17087 grad_norm: 5.2123 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5747 loss: 1.5747 2022/08/03 22:48:48 - mmengine - INFO - Epoch(train) [60][660/1879] lr: 1.0000e-02 eta: 1 day, 20:21:25 time: 0.4262 data_time: 0.0141 memory: 17087 grad_norm: 5.2445 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6474 loss: 1.6474 2022/08/03 22:48:57 - mmengine - INFO - Epoch(train) [60][680/1879] lr: 1.0000e-02 eta: 1 day, 20:21:17 time: 0.4447 data_time: 0.0168 memory: 17087 grad_norm: 5.2682 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6656 loss: 1.6656 2022/08/03 22:49:05 - mmengine - INFO - Epoch(train) [60][700/1879] lr: 1.0000e-02 eta: 1 day, 20:21:09 time: 0.4303 data_time: 0.0141 memory: 17087 grad_norm: 5.1418 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4922 loss: 1.4922 2022/08/03 22:49:14 - mmengine - INFO - Epoch(train) [60][720/1879] lr: 1.0000e-02 eta: 1 day, 20:21:02 time: 0.4565 data_time: 0.0167 memory: 17087 grad_norm: 5.1217 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6896 loss: 1.6896 2022/08/03 22:49:23 - mmengine - INFO - Epoch(train) [60][740/1879] lr: 1.0000e-02 eta: 1 day, 20:20:53 time: 0.4328 data_time: 0.0193 memory: 17087 grad_norm: 5.0639 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7176 loss: 1.7176 2022/08/03 22:49:32 - mmengine - INFO - Epoch(train) [60][760/1879] lr: 1.0000e-02 eta: 1 day, 20:20:44 time: 0.4275 data_time: 0.0152 memory: 17087 grad_norm: 5.1368 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4848 loss: 1.4848 2022/08/03 22:49:40 - mmengine - INFO - Epoch(train) [60][780/1879] lr: 1.0000e-02 eta: 1 day, 20:20:35 time: 0.4308 data_time: 0.0145 memory: 17087 grad_norm: 5.0425 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5727 loss: 1.5727 2022/08/03 22:49:49 - mmengine - INFO - Epoch(train) [60][800/1879] lr: 1.0000e-02 eta: 1 day, 20:20:26 time: 0.4244 data_time: 0.0153 memory: 17087 grad_norm: 5.1815 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6144 loss: 1.6144 2022/08/03 22:49:57 - mmengine - INFO - Epoch(train) [60][820/1879] lr: 1.0000e-02 eta: 1 day, 20:20:17 time: 0.4325 data_time: 0.0146 memory: 17087 grad_norm: 5.2907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5712 loss: 1.5712 2022/08/03 22:50:06 - mmengine - INFO - Epoch(train) [60][840/1879] lr: 1.0000e-02 eta: 1 day, 20:20:08 time: 0.4271 data_time: 0.0156 memory: 17087 grad_norm: 4.9385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3854 loss: 1.3854 2022/08/03 22:50:15 - mmengine - INFO - Epoch(train) [60][860/1879] lr: 1.0000e-02 eta: 1 day, 20:20:00 time: 0.4364 data_time: 0.0126 memory: 17087 grad_norm: 5.0986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4610 loss: 1.4610 2022/08/03 22:50:23 - mmengine - INFO - Epoch(train) [60][880/1879] lr: 1.0000e-02 eta: 1 day, 20:19:51 time: 0.4267 data_time: 0.0175 memory: 17087 grad_norm: 5.0693 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5008 loss: 1.5008 2022/08/03 22:50:32 - mmengine - INFO - Epoch(train) [60][900/1879] lr: 1.0000e-02 eta: 1 day, 20:19:42 time: 0.4239 data_time: 0.0140 memory: 17087 grad_norm: 5.0050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6793 loss: 1.6793 2022/08/03 22:50:40 - mmengine - INFO - Epoch(train) [60][920/1879] lr: 1.0000e-02 eta: 1 day, 20:19:33 time: 0.4284 data_time: 0.0189 memory: 17087 grad_norm: 5.1292 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4911 loss: 1.4911 2022/08/03 22:50:49 - mmengine - INFO - Epoch(train) [60][940/1879] lr: 1.0000e-02 eta: 1 day, 20:19:24 time: 0.4235 data_time: 0.0139 memory: 17087 grad_norm: 5.1595 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5801 loss: 1.5801 2022/08/03 22:50:58 - mmengine - INFO - Epoch(train) [60][960/1879] lr: 1.0000e-02 eta: 1 day, 20:19:15 time: 0.4327 data_time: 0.0167 memory: 17087 grad_norm: 5.3443 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5117 loss: 1.5117 2022/08/03 22:51:06 - mmengine - INFO - Epoch(train) [60][980/1879] lr: 1.0000e-02 eta: 1 day, 20:19:06 time: 0.4245 data_time: 0.0131 memory: 17087 grad_norm: 4.9254 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.6862 loss: 1.6862 2022/08/03 22:51:17 - mmengine - INFO - Epoch(train) [60][1000/1879] lr: 1.0000e-02 eta: 1 day, 20:19:05 time: 0.5499 data_time: 0.1180 memory: 17087 grad_norm: 5.0469 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7027 loss: 1.7027 2022/08/03 22:51:26 - mmengine - INFO - Epoch(train) [60][1020/1879] lr: 1.0000e-02 eta: 1 day, 20:18:56 time: 0.4254 data_time: 0.0143 memory: 17087 grad_norm: 4.9954 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5694 loss: 1.5694 2022/08/03 22:51:34 - mmengine - INFO - Epoch(train) [60][1040/1879] lr: 1.0000e-02 eta: 1 day, 20:18:47 time: 0.4261 data_time: 0.0148 memory: 17087 grad_norm: 4.9235 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5971 loss: 1.5971 2022/08/03 22:51:43 - mmengine - INFO - Epoch(train) [60][1060/1879] lr: 1.0000e-02 eta: 1 day, 20:18:38 time: 0.4296 data_time: 0.0158 memory: 17087 grad_norm: 5.0167 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.3514 loss: 1.3514 2022/08/03 22:51:51 - mmengine - INFO - Epoch(train) [60][1080/1879] lr: 1.0000e-02 eta: 1 day, 20:18:29 time: 0.4225 data_time: 0.0135 memory: 17087 grad_norm: 5.2426 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5280 loss: 1.5280 2022/08/03 22:52:00 - mmengine - INFO - Epoch(train) [60][1100/1879] lr: 1.0000e-02 eta: 1 day, 20:18:20 time: 0.4293 data_time: 0.0168 memory: 17087 grad_norm: 4.8642 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4350 loss: 1.4350 2022/08/03 22:52:08 - mmengine - INFO - Epoch(train) [60][1120/1879] lr: 1.0000e-02 eta: 1 day, 20:18:11 time: 0.4237 data_time: 0.0150 memory: 17087 grad_norm: 4.9519 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3376 loss: 1.3376 2022/08/03 22:52:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 22:52:17 - mmengine - INFO - Epoch(train) [60][1140/1879] lr: 1.0000e-02 eta: 1 day, 20:18:02 time: 0.4355 data_time: 0.0159 memory: 17087 grad_norm: 5.2132 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5626 loss: 1.5626 2022/08/03 22:52:25 - mmengine - INFO - Epoch(train) [60][1160/1879] lr: 1.0000e-02 eta: 1 day, 20:17:53 time: 0.4270 data_time: 0.0148 memory: 17087 grad_norm: 5.0500 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4782 loss: 1.4782 2022/08/03 22:52:34 - mmengine - INFO - Epoch(train) [60][1180/1879] lr: 1.0000e-02 eta: 1 day, 20:17:45 time: 0.4373 data_time: 0.0169 memory: 17087 grad_norm: 4.9058 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3998 loss: 1.3998 2022/08/03 22:52:43 - mmengine - INFO - Epoch(train) [60][1200/1879] lr: 1.0000e-02 eta: 1 day, 20:17:37 time: 0.4430 data_time: 0.0174 memory: 17087 grad_norm: 5.1057 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5406 loss: 1.5406 2022/08/03 22:52:52 - mmengine - INFO - Epoch(train) [60][1220/1879] lr: 1.0000e-02 eta: 1 day, 20:17:28 time: 0.4283 data_time: 0.0159 memory: 17087 grad_norm: 5.0379 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3839 loss: 1.3839 2022/08/03 22:53:00 - mmengine - INFO - Epoch(train) [60][1240/1879] lr: 1.0000e-02 eta: 1 day, 20:17:20 time: 0.4312 data_time: 0.0177 memory: 17087 grad_norm: 5.2016 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5870 loss: 1.5870 2022/08/03 22:53:09 - mmengine - INFO - Epoch(train) [60][1260/1879] lr: 1.0000e-02 eta: 1 day, 20:17:11 time: 0.4371 data_time: 0.0163 memory: 17087 grad_norm: 4.9995 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5028 loss: 1.5028 2022/08/03 22:53:18 - mmengine - INFO - Epoch(train) [60][1280/1879] lr: 1.0000e-02 eta: 1 day, 20:17:02 time: 0.4247 data_time: 0.0143 memory: 17087 grad_norm: 4.9879 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4265 loss: 1.4265 2022/08/03 22:53:26 - mmengine - INFO - Epoch(train) [60][1300/1879] lr: 1.0000e-02 eta: 1 day, 20:16:53 time: 0.4306 data_time: 0.0163 memory: 17087 grad_norm: 5.0551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5910 loss: 1.5910 2022/08/03 22:53:35 - mmengine - INFO - Epoch(train) [60][1320/1879] lr: 1.0000e-02 eta: 1 day, 20:16:45 time: 0.4306 data_time: 0.0199 memory: 17087 grad_norm: 4.9047 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4721 loss: 1.4721 2022/08/03 22:53:43 - mmengine - INFO - Epoch(train) [60][1340/1879] lr: 1.0000e-02 eta: 1 day, 20:16:36 time: 0.4346 data_time: 0.0181 memory: 17087 grad_norm: 5.0221 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5496 loss: 1.5496 2022/08/03 22:53:52 - mmengine - INFO - Epoch(train) [60][1360/1879] lr: 1.0000e-02 eta: 1 day, 20:16:27 time: 0.4234 data_time: 0.0137 memory: 17087 grad_norm: 5.0599 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6244 loss: 1.6244 2022/08/03 22:54:01 - mmengine - INFO - Epoch(train) [60][1380/1879] lr: 1.0000e-02 eta: 1 day, 20:16:18 time: 0.4280 data_time: 0.0180 memory: 17087 grad_norm: 5.1354 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7996 loss: 1.7996 2022/08/03 22:54:09 - mmengine - INFO - Epoch(train) [60][1400/1879] lr: 1.0000e-02 eta: 1 day, 20:16:10 time: 0.4440 data_time: 0.0139 memory: 17087 grad_norm: 5.0321 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4153 loss: 1.4153 2022/08/03 22:54:18 - mmengine - INFO - Epoch(train) [60][1420/1879] lr: 1.0000e-02 eta: 1 day, 20:16:01 time: 0.4264 data_time: 0.0160 memory: 17087 grad_norm: 4.9689 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4342 loss: 1.4342 2022/08/03 22:54:27 - mmengine - INFO - Epoch(train) [60][1440/1879] lr: 1.0000e-02 eta: 1 day, 20:15:52 time: 0.4282 data_time: 0.0135 memory: 17087 grad_norm: 5.0272 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5288 loss: 1.5288 2022/08/03 22:54:35 - mmengine - INFO - Epoch(train) [60][1460/1879] lr: 1.0000e-02 eta: 1 day, 20:15:43 time: 0.4262 data_time: 0.0161 memory: 17087 grad_norm: 5.0505 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6134 loss: 1.6134 2022/08/03 22:54:44 - mmengine - INFO - Epoch(train) [60][1480/1879] lr: 1.0000e-02 eta: 1 day, 20:15:35 time: 0.4434 data_time: 0.0154 memory: 17087 grad_norm: 5.0608 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3612 loss: 1.3612 2022/08/03 22:54:52 - mmengine - INFO - Epoch(train) [60][1500/1879] lr: 1.0000e-02 eta: 1 day, 20:15:26 time: 0.4268 data_time: 0.0156 memory: 17087 grad_norm: 4.9939 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4873 loss: 1.4873 2022/08/03 22:55:01 - mmengine - INFO - Epoch(train) [60][1520/1879] lr: 1.0000e-02 eta: 1 day, 20:15:17 time: 0.4264 data_time: 0.0148 memory: 17087 grad_norm: 5.2113 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7585 loss: 1.7585 2022/08/03 22:55:10 - mmengine - INFO - Epoch(train) [60][1540/1879] lr: 1.0000e-02 eta: 1 day, 20:15:10 time: 0.4453 data_time: 0.0155 memory: 17087 grad_norm: 4.9704 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6507 loss: 1.6507 2022/08/03 22:55:18 - mmengine - INFO - Epoch(train) [60][1560/1879] lr: 1.0000e-02 eta: 1 day, 20:15:00 time: 0.4250 data_time: 0.0130 memory: 17087 grad_norm: 4.9959 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5220 loss: 1.5220 2022/08/03 22:55:27 - mmengine - INFO - Epoch(train) [60][1580/1879] lr: 1.0000e-02 eta: 1 day, 20:14:51 time: 0.4258 data_time: 0.0160 memory: 17087 grad_norm: 4.9546 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5829 loss: 1.5829 2022/08/03 22:55:36 - mmengine - INFO - Epoch(train) [60][1600/1879] lr: 1.0000e-02 eta: 1 day, 20:14:42 time: 0.4273 data_time: 0.0149 memory: 17087 grad_norm: 5.2075 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.7017 loss: 1.7017 2022/08/03 22:55:44 - mmengine - INFO - Epoch(train) [60][1620/1879] lr: 1.0000e-02 eta: 1 day, 20:14:34 time: 0.4298 data_time: 0.0157 memory: 17087 grad_norm: 5.0560 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4998 loss: 1.4998 2022/08/03 22:55:53 - mmengine - INFO - Epoch(train) [60][1640/1879] lr: 1.0000e-02 eta: 1 day, 20:14:25 time: 0.4273 data_time: 0.0141 memory: 17087 grad_norm: 4.9751 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5367 loss: 1.5367 2022/08/03 22:56:01 - mmengine - INFO - Epoch(train) [60][1660/1879] lr: 1.0000e-02 eta: 1 day, 20:14:16 time: 0.4253 data_time: 0.0159 memory: 17087 grad_norm: 4.9696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5794 loss: 1.5794 2022/08/03 22:56:10 - mmengine - INFO - Epoch(train) [60][1680/1879] lr: 1.0000e-02 eta: 1 day, 20:14:06 time: 0.4246 data_time: 0.0131 memory: 17087 grad_norm: 4.9610 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5598 loss: 1.5598 2022/08/03 22:56:18 - mmengine - INFO - Epoch(train) [60][1700/1879] lr: 1.0000e-02 eta: 1 day, 20:13:57 time: 0.4277 data_time: 0.0162 memory: 17087 grad_norm: 5.1728 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6221 loss: 1.6221 2022/08/03 22:56:27 - mmengine - INFO - Epoch(train) [60][1720/1879] lr: 1.0000e-02 eta: 1 day, 20:13:49 time: 0.4403 data_time: 0.0148 memory: 17087 grad_norm: 5.1967 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6790 loss: 1.6790 2022/08/03 22:56:36 - mmengine - INFO - Epoch(train) [60][1740/1879] lr: 1.0000e-02 eta: 1 day, 20:13:40 time: 0.4270 data_time: 0.0160 memory: 17087 grad_norm: 5.1302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6651 loss: 1.6651 2022/08/03 22:56:45 - mmengine - INFO - Epoch(train) [60][1760/1879] lr: 1.0000e-02 eta: 1 day, 20:13:33 time: 0.4497 data_time: 0.0192 memory: 17087 grad_norm: 5.0947 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5023 loss: 1.5023 2022/08/03 22:56:53 - mmengine - INFO - Epoch(train) [60][1780/1879] lr: 1.0000e-02 eta: 1 day, 20:13:24 time: 0.4263 data_time: 0.0153 memory: 17087 grad_norm: 5.0514 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5917 loss: 1.5917 2022/08/03 22:57:02 - mmengine - INFO - Epoch(train) [60][1800/1879] lr: 1.0000e-02 eta: 1 day, 20:13:15 time: 0.4255 data_time: 0.0150 memory: 17087 grad_norm: 5.0660 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7304 loss: 1.7304 2022/08/03 22:57:10 - mmengine - INFO - Epoch(train) [60][1820/1879] lr: 1.0000e-02 eta: 1 day, 20:13:06 time: 0.4324 data_time: 0.0167 memory: 17087 grad_norm: 4.9784 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6880 loss: 1.6880 2022/08/03 22:57:19 - mmengine - INFO - Epoch(train) [60][1840/1879] lr: 1.0000e-02 eta: 1 day, 20:12:57 time: 0.4245 data_time: 0.0162 memory: 17087 grad_norm: 5.1795 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4768 loss: 1.4768 2022/08/03 22:57:28 - mmengine - INFO - Epoch(train) [60][1860/1879] lr: 1.0000e-02 eta: 1 day, 20:12:49 time: 0.4413 data_time: 0.0160 memory: 17087 grad_norm: 4.9203 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5419 loss: 1.5419 2022/08/03 22:57:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 22:57:35 - mmengine - INFO - Epoch(train) [60][1879/1879] lr: 1.0000e-02 eta: 1 day, 20:12:49 time: 0.4099 data_time: 0.0174 memory: 17087 grad_norm: 5.2276 top1_acc: 0.4286 top5_acc: 0.4286 loss_cls: 1.7731 loss: 1.7731 2022/08/03 22:57:35 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/03 22:57:54 - mmengine - INFO - Epoch(val) [60][20/155] eta: 0:01:43 time: 0.7635 data_time: 0.6018 memory: 2821 2022/08/03 22:58:04 - mmengine - INFO - Epoch(val) [60][40/155] eta: 0:00:57 time: 0.5029 data_time: 0.3433 memory: 2821 2022/08/03 22:58:13 - mmengine - INFO - Epoch(val) [60][60/155] eta: 0:00:45 time: 0.4754 data_time: 0.3189 memory: 2821 2022/08/03 22:58:18 - mmengine - INFO - Epoch(val) [60][80/155] eta: 0:00:15 time: 0.2074 data_time: 0.0512 memory: 2821 2022/08/03 22:58:29 - mmengine - INFO - Epoch(val) [60][100/155] eta: 0:00:32 time: 0.5867 data_time: 0.4291 memory: 2821 2022/08/03 22:58:39 - mmengine - INFO - Epoch(val) [60][120/155] eta: 0:00:16 time: 0.4834 data_time: 0.3258 memory: 2821 2022/08/03 22:58:49 - mmengine - INFO - Epoch(val) [60][140/155] eta: 0:00:07 time: 0.4881 data_time: 0.3310 memory: 2821 2022/08/03 22:59:14 - mmengine - INFO - Epoch(val) [60][155/155] acc/top1: 0.6531 acc/top5: 0.8614 acc/mean1: 0.6529 2022/08/03 22:59:25 - mmengine - INFO - Epoch(train) [61][20/1879] lr: 1.0000e-02 eta: 1 day, 20:12:14 time: 0.5650 data_time: 0.1406 memory: 17087 grad_norm: 5.1122 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4549 loss: 1.4549 2022/08/03 22:59:34 - mmengine - INFO - Epoch(train) [61][40/1879] lr: 1.0000e-02 eta: 1 day, 20:12:06 time: 0.4498 data_time: 0.0225 memory: 17087 grad_norm: 4.8867 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6073 loss: 1.6073 2022/08/03 22:59:43 - mmengine - INFO - Epoch(train) [61][60/1879] lr: 1.0000e-02 eta: 1 day, 20:11:57 time: 0.4219 data_time: 0.0137 memory: 17087 grad_norm: 5.0448 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4698 loss: 1.4698 2022/08/03 22:59:51 - mmengine - INFO - Epoch(train) [61][80/1879] lr: 1.0000e-02 eta: 1 day, 20:11:49 time: 0.4353 data_time: 0.0154 memory: 17087 grad_norm: 5.2649 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6971 loss: 1.6971 2022/08/03 23:00:00 - mmengine - INFO - Epoch(train) [61][100/1879] lr: 1.0000e-02 eta: 1 day, 20:11:40 time: 0.4255 data_time: 0.0139 memory: 17087 grad_norm: 4.9409 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4393 loss: 1.4393 2022/08/03 23:00:09 - mmengine - INFO - Epoch(train) [61][120/1879] lr: 1.0000e-02 eta: 1 day, 20:11:32 time: 0.4427 data_time: 0.0176 memory: 17087 grad_norm: 5.1539 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5628 loss: 1.5628 2022/08/03 23:00:17 - mmengine - INFO - Epoch(train) [61][140/1879] lr: 1.0000e-02 eta: 1 day, 20:11:22 time: 0.4236 data_time: 0.0143 memory: 17087 grad_norm: 5.0980 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4854 loss: 1.4854 2022/08/03 23:00:26 - mmengine - INFO - Epoch(train) [61][160/1879] lr: 1.0000e-02 eta: 1 day, 20:11:13 time: 0.4269 data_time: 0.0181 memory: 17087 grad_norm: 5.0461 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6362 loss: 1.6362 2022/08/03 23:00:34 - mmengine - INFO - Epoch(train) [61][180/1879] lr: 1.0000e-02 eta: 1 day, 20:11:04 time: 0.4256 data_time: 0.0132 memory: 17087 grad_norm: 4.9398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7064 loss: 1.7064 2022/08/03 23:00:43 - mmengine - INFO - Epoch(train) [61][200/1879] lr: 1.0000e-02 eta: 1 day, 20:10:55 time: 0.4256 data_time: 0.0158 memory: 17087 grad_norm: 4.8706 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4975 loss: 1.4975 2022/08/03 23:00:51 - mmengine - INFO - Epoch(train) [61][220/1879] lr: 1.0000e-02 eta: 1 day, 20:10:46 time: 0.4258 data_time: 0.0146 memory: 17087 grad_norm: 5.0189 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4457 loss: 1.4457 2022/08/03 23:01:00 - mmengine - INFO - Epoch(train) [61][240/1879] lr: 1.0000e-02 eta: 1 day, 20:10:37 time: 0.4263 data_time: 0.0168 memory: 17087 grad_norm: 4.9485 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6786 loss: 1.6786 2022/08/03 23:01:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 23:01:08 - mmengine - INFO - Epoch(train) [61][260/1879] lr: 1.0000e-02 eta: 1 day, 20:10:28 time: 0.4281 data_time: 0.0176 memory: 17087 grad_norm: 5.1281 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4083 loss: 1.4083 2022/08/03 23:01:17 - mmengine - INFO - Epoch(train) [61][280/1879] lr: 1.0000e-02 eta: 1 day, 20:10:19 time: 0.4282 data_time: 0.0174 memory: 17087 grad_norm: 4.9998 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5296 loss: 1.5296 2022/08/03 23:01:26 - mmengine - INFO - Epoch(train) [61][300/1879] lr: 1.0000e-02 eta: 1 day, 20:10:11 time: 0.4382 data_time: 0.0171 memory: 17087 grad_norm: 5.1028 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7250 loss: 1.7250 2022/08/03 23:01:34 - mmengine - INFO - Epoch(train) [61][320/1879] lr: 1.0000e-02 eta: 1 day, 20:10:02 time: 0.4249 data_time: 0.0155 memory: 17087 grad_norm: 5.0282 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5361 loss: 1.5361 2022/08/03 23:01:43 - mmengine - INFO - Epoch(train) [61][340/1879] lr: 1.0000e-02 eta: 1 day, 20:09:53 time: 0.4246 data_time: 0.0153 memory: 17087 grad_norm: 4.9965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4514 loss: 1.4514 2022/08/03 23:01:51 - mmengine - INFO - Epoch(train) [61][360/1879] lr: 1.0000e-02 eta: 1 day, 20:09:44 time: 0.4304 data_time: 0.0168 memory: 17087 grad_norm: 5.3303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7775 loss: 1.7775 2022/08/03 23:02:00 - mmengine - INFO - Epoch(train) [61][380/1879] lr: 1.0000e-02 eta: 1 day, 20:09:35 time: 0.4243 data_time: 0.0138 memory: 17087 grad_norm: 5.0505 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6237 loss: 1.6237 2022/08/03 23:02:08 - mmengine - INFO - Epoch(train) [61][400/1879] lr: 1.0000e-02 eta: 1 day, 20:09:26 time: 0.4276 data_time: 0.0168 memory: 17087 grad_norm: 5.0979 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6630 loss: 1.6630 2022/08/03 23:02:17 - mmengine - INFO - Epoch(train) [61][420/1879] lr: 1.0000e-02 eta: 1 day, 20:09:17 time: 0.4246 data_time: 0.0147 memory: 17087 grad_norm: 4.9796 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4659 loss: 1.4659 2022/08/03 23:02:25 - mmengine - INFO - Epoch(train) [61][440/1879] lr: 1.0000e-02 eta: 1 day, 20:09:08 time: 0.4271 data_time: 0.0170 memory: 17087 grad_norm: 5.1392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5017 loss: 1.5017 2022/08/03 23:02:34 - mmengine - INFO - Epoch(train) [61][460/1879] lr: 1.0000e-02 eta: 1 day, 20:08:59 time: 0.4265 data_time: 0.0140 memory: 17087 grad_norm: 4.9794 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5571 loss: 1.5571 2022/08/03 23:02:43 - mmengine - INFO - Epoch(train) [61][480/1879] lr: 1.0000e-02 eta: 1 day, 20:08:50 time: 0.4253 data_time: 0.0164 memory: 17087 grad_norm: 5.1607 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4515 loss: 1.4515 2022/08/03 23:02:51 - mmengine - INFO - Epoch(train) [61][500/1879] lr: 1.0000e-02 eta: 1 day, 20:08:41 time: 0.4288 data_time: 0.0153 memory: 17087 grad_norm: 5.3338 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8053 loss: 1.8053 2022/08/03 23:03:00 - mmengine - INFO - Epoch(train) [61][520/1879] lr: 1.0000e-02 eta: 1 day, 20:08:32 time: 0.4278 data_time: 0.0193 memory: 17087 grad_norm: 5.0925 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6001 loss: 1.6001 2022/08/03 23:03:08 - mmengine - INFO - Epoch(train) [61][540/1879] lr: 1.0000e-02 eta: 1 day, 20:08:23 time: 0.4266 data_time: 0.0144 memory: 17087 grad_norm: 5.0271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6428 loss: 1.6428 2022/08/03 23:03:17 - mmengine - INFO - Epoch(train) [61][560/1879] lr: 1.0000e-02 eta: 1 day, 20:08:15 time: 0.4356 data_time: 0.0157 memory: 17087 grad_norm: 4.9235 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6709 loss: 1.6709 2022/08/03 23:03:26 - mmengine - INFO - Epoch(train) [61][580/1879] lr: 1.0000e-02 eta: 1 day, 20:08:06 time: 0.4288 data_time: 0.0141 memory: 17087 grad_norm: 5.1202 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5284 loss: 1.5284 2022/08/03 23:03:34 - mmengine - INFO - Epoch(train) [61][600/1879] lr: 1.0000e-02 eta: 1 day, 20:07:57 time: 0.4263 data_time: 0.0171 memory: 17087 grad_norm: 5.1910 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7640 loss: 1.7640 2022/08/03 23:03:43 - mmengine - INFO - Epoch(train) [61][620/1879] lr: 1.0000e-02 eta: 1 day, 20:07:48 time: 0.4243 data_time: 0.0145 memory: 17087 grad_norm: 5.0109 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7380 loss: 1.7380 2022/08/03 23:03:51 - mmengine - INFO - Epoch(train) [61][640/1879] lr: 1.0000e-02 eta: 1 day, 20:07:39 time: 0.4251 data_time: 0.0142 memory: 17087 grad_norm: 5.1840 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5401 loss: 1.5401 2022/08/03 23:04:00 - mmengine - INFO - Epoch(train) [61][660/1879] lr: 1.0000e-02 eta: 1 day, 20:07:30 time: 0.4349 data_time: 0.0224 memory: 17087 grad_norm: 5.0429 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4457 loss: 1.4457 2022/08/03 23:04:08 - mmengine - INFO - Epoch(train) [61][680/1879] lr: 1.0000e-02 eta: 1 day, 20:07:21 time: 0.4266 data_time: 0.0145 memory: 17087 grad_norm: 4.9309 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.5498 loss: 1.5498 2022/08/03 23:04:17 - mmengine - INFO - Epoch(train) [61][700/1879] lr: 1.0000e-02 eta: 1 day, 20:07:13 time: 0.4438 data_time: 0.0162 memory: 17087 grad_norm: 4.9952 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5718 loss: 1.5718 2022/08/03 23:04:26 - mmengine - INFO - Epoch(train) [61][720/1879] lr: 1.0000e-02 eta: 1 day, 20:07:04 time: 0.4249 data_time: 0.0143 memory: 17087 grad_norm: 4.9809 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4650 loss: 1.4650 2022/08/03 23:04:35 - mmengine - INFO - Epoch(train) [61][740/1879] lr: 1.0000e-02 eta: 1 day, 20:06:57 time: 0.4543 data_time: 0.0199 memory: 17087 grad_norm: 5.2179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5147 loss: 1.5147 2022/08/03 23:04:43 - mmengine - INFO - Epoch(train) [61][760/1879] lr: 1.0000e-02 eta: 1 day, 20:06:48 time: 0.4269 data_time: 0.0153 memory: 17087 grad_norm: 4.9778 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4742 loss: 1.4742 2022/08/03 23:04:52 - mmengine - INFO - Epoch(train) [61][780/1879] lr: 1.0000e-02 eta: 1 day, 20:06:39 time: 0.4262 data_time: 0.0163 memory: 17087 grad_norm: 4.8676 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6633 loss: 1.6633 2022/08/03 23:05:01 - mmengine - INFO - Epoch(train) [61][800/1879] lr: 1.0000e-02 eta: 1 day, 20:06:32 time: 0.4549 data_time: 0.0208 memory: 17087 grad_norm: 5.1776 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6214 loss: 1.6214 2022/08/03 23:05:10 - mmengine - INFO - Epoch(train) [61][820/1879] lr: 1.0000e-02 eta: 1 day, 20:06:23 time: 0.4317 data_time: 0.0145 memory: 17087 grad_norm: 4.8995 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3619 loss: 1.3619 2022/08/03 23:05:19 - mmengine - INFO - Epoch(train) [61][840/1879] lr: 1.0000e-02 eta: 1 day, 20:06:16 time: 0.4504 data_time: 0.0168 memory: 17087 grad_norm: 5.0258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8193 loss: 1.8193 2022/08/03 23:05:27 - mmengine - INFO - Epoch(train) [61][860/1879] lr: 1.0000e-02 eta: 1 day, 20:06:07 time: 0.4254 data_time: 0.0143 memory: 17087 grad_norm: 5.1550 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6461 loss: 1.6461 2022/08/03 23:05:36 - mmengine - INFO - Epoch(train) [61][880/1879] lr: 1.0000e-02 eta: 1 day, 20:05:57 time: 0.4247 data_time: 0.0156 memory: 17087 grad_norm: 5.1328 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7462 loss: 1.7462 2022/08/03 23:05:44 - mmengine - INFO - Epoch(train) [61][900/1879] lr: 1.0000e-02 eta: 1 day, 20:05:49 time: 0.4328 data_time: 0.0167 memory: 17087 grad_norm: 4.9004 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5125 loss: 1.5125 2022/08/03 23:05:53 - mmengine - INFO - Epoch(train) [61][920/1879] lr: 1.0000e-02 eta: 1 day, 20:05:40 time: 0.4247 data_time: 0.0159 memory: 17087 grad_norm: 4.9141 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5017 loss: 1.5017 2022/08/03 23:06:01 - mmengine - INFO - Epoch(train) [61][940/1879] lr: 1.0000e-02 eta: 1 day, 20:05:31 time: 0.4253 data_time: 0.0147 memory: 17087 grad_norm: 5.0116 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4865 loss: 1.4865 2022/08/03 23:06:10 - mmengine - INFO - Epoch(train) [61][960/1879] lr: 1.0000e-02 eta: 1 day, 20:05:22 time: 0.4339 data_time: 0.0164 memory: 17087 grad_norm: 5.1983 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8096 loss: 1.8096 2022/08/03 23:06:19 - mmengine - INFO - Epoch(train) [61][980/1879] lr: 1.0000e-02 eta: 1 day, 20:05:13 time: 0.4254 data_time: 0.0147 memory: 17087 grad_norm: 5.1991 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5878 loss: 1.5878 2022/08/03 23:06:27 - mmengine - INFO - Epoch(train) [61][1000/1879] lr: 1.0000e-02 eta: 1 day, 20:05:04 time: 0.4330 data_time: 0.0205 memory: 17087 grad_norm: 4.9555 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7081 loss: 1.7081 2022/08/03 23:06:36 - mmengine - INFO - Epoch(train) [61][1020/1879] lr: 1.0000e-02 eta: 1 day, 20:04:55 time: 0.4245 data_time: 0.0141 memory: 17087 grad_norm: 5.0311 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5664 loss: 1.5664 2022/08/03 23:06:44 - mmengine - INFO - Epoch(train) [61][1040/1879] lr: 1.0000e-02 eta: 1 day, 20:04:46 time: 0.4267 data_time: 0.0171 memory: 17087 grad_norm: 5.0721 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5354 loss: 1.5354 2022/08/03 23:06:53 - mmengine - INFO - Epoch(train) [61][1060/1879] lr: 1.0000e-02 eta: 1 day, 20:04:37 time: 0.4264 data_time: 0.0140 memory: 17087 grad_norm: 5.1119 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6486 loss: 1.6486 2022/08/03 23:07:01 - mmengine - INFO - Epoch(train) [61][1080/1879] lr: 1.0000e-02 eta: 1 day, 20:04:29 time: 0.4304 data_time: 0.0164 memory: 17087 grad_norm: 5.2457 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5920 loss: 1.5920 2022/08/03 23:07:10 - mmengine - INFO - Epoch(train) [61][1100/1879] lr: 1.0000e-02 eta: 1 day, 20:04:20 time: 0.4254 data_time: 0.0148 memory: 17087 grad_norm: 5.1291 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5735 loss: 1.5735 2022/08/03 23:07:19 - mmengine - INFO - Epoch(train) [61][1120/1879] lr: 1.0000e-02 eta: 1 day, 20:04:12 time: 0.4483 data_time: 0.0159 memory: 17087 grad_norm: 5.0746 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4983 loss: 1.4983 2022/08/03 23:07:27 - mmengine - INFO - Epoch(train) [61][1140/1879] lr: 1.0000e-02 eta: 1 day, 20:04:03 time: 0.4255 data_time: 0.0152 memory: 17087 grad_norm: 5.1192 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8276 loss: 1.8276 2022/08/03 23:07:36 - mmengine - INFO - Epoch(train) [61][1160/1879] lr: 1.0000e-02 eta: 1 day, 20:03:54 time: 0.4300 data_time: 0.0170 memory: 17087 grad_norm: 4.9934 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5737 loss: 1.5737 2022/08/03 23:07:45 - mmengine - INFO - Epoch(train) [61][1180/1879] lr: 1.0000e-02 eta: 1 day, 20:03:45 time: 0.4259 data_time: 0.0131 memory: 17087 grad_norm: 5.2155 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6661 loss: 1.6661 2022/08/03 23:07:53 - mmengine - INFO - Epoch(train) [61][1200/1879] lr: 1.0000e-02 eta: 1 day, 20:03:36 time: 0.4291 data_time: 0.0151 memory: 17087 grad_norm: 5.0484 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5283 loss: 1.5283 2022/08/03 23:08:02 - mmengine - INFO - Epoch(train) [61][1220/1879] lr: 1.0000e-02 eta: 1 day, 20:03:27 time: 0.4289 data_time: 0.0145 memory: 17087 grad_norm: 5.1931 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5679 loss: 1.5679 2022/08/03 23:08:10 - mmengine - INFO - Epoch(train) [61][1240/1879] lr: 1.0000e-02 eta: 1 day, 20:03:19 time: 0.4370 data_time: 0.0164 memory: 17087 grad_norm: 5.1117 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8060 loss: 1.8060 2022/08/03 23:08:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 23:08:19 - mmengine - INFO - Epoch(train) [61][1260/1879] lr: 1.0000e-02 eta: 1 day, 20:03:10 time: 0.4267 data_time: 0.0146 memory: 17087 grad_norm: 5.0623 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5780 loss: 1.5780 2022/08/03 23:08:27 - mmengine - INFO - Epoch(train) [61][1280/1879] lr: 1.0000e-02 eta: 1 day, 20:03:01 time: 0.4252 data_time: 0.0159 memory: 17087 grad_norm: 5.1173 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7747 loss: 1.7747 2022/08/03 23:08:36 - mmengine - INFO - Epoch(train) [61][1300/1879] lr: 1.0000e-02 eta: 1 day, 20:02:52 time: 0.4341 data_time: 0.0163 memory: 17087 grad_norm: 5.0384 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5146 loss: 1.5146 2022/08/03 23:08:45 - mmengine - INFO - Epoch(train) [61][1320/1879] lr: 1.0000e-02 eta: 1 day, 20:02:44 time: 0.4289 data_time: 0.0160 memory: 17087 grad_norm: 5.1802 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7103 loss: 1.7103 2022/08/03 23:08:53 - mmengine - INFO - Epoch(train) [61][1340/1879] lr: 1.0000e-02 eta: 1 day, 20:02:35 time: 0.4270 data_time: 0.0152 memory: 17087 grad_norm: 5.0514 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6525 loss: 1.6525 2022/08/03 23:09:02 - mmengine - INFO - Epoch(train) [61][1360/1879] lr: 1.0000e-02 eta: 1 day, 20:02:26 time: 0.4268 data_time: 0.0163 memory: 17087 grad_norm: 5.1088 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4803 loss: 1.4803 2022/08/03 23:09:10 - mmengine - INFO - Epoch(train) [61][1380/1879] lr: 1.0000e-02 eta: 1 day, 20:02:17 time: 0.4260 data_time: 0.0161 memory: 17087 grad_norm: 5.1817 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6455 loss: 1.6455 2022/08/03 23:09:19 - mmengine - INFO - Epoch(train) [61][1400/1879] lr: 1.0000e-02 eta: 1 day, 20:02:09 time: 0.4433 data_time: 0.0164 memory: 17087 grad_norm: 5.1908 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5648 loss: 1.5648 2022/08/03 23:09:28 - mmengine - INFO - Epoch(train) [61][1420/1879] lr: 1.0000e-02 eta: 1 day, 20:02:00 time: 0.4257 data_time: 0.0138 memory: 17087 grad_norm: 4.9703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2825 loss: 1.2825 2022/08/03 23:09:36 - mmengine - INFO - Epoch(train) [61][1440/1879] lr: 1.0000e-02 eta: 1 day, 20:01:51 time: 0.4351 data_time: 0.0167 memory: 17087 grad_norm: 4.9936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6132 loss: 1.6132 2022/08/03 23:09:45 - mmengine - INFO - Epoch(train) [61][1460/1879] lr: 1.0000e-02 eta: 1 day, 20:01:42 time: 0.4242 data_time: 0.0134 memory: 17087 grad_norm: 5.0586 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4924 loss: 1.4924 2022/08/03 23:09:54 - mmengine - INFO - Epoch(train) [61][1480/1879] lr: 1.0000e-02 eta: 1 day, 20:01:33 time: 0.4304 data_time: 0.0162 memory: 17087 grad_norm: 4.9318 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6185 loss: 1.6185 2022/08/03 23:10:02 - mmengine - INFO - Epoch(train) [61][1500/1879] lr: 1.0000e-02 eta: 1 day, 20:01:24 time: 0.4276 data_time: 0.0148 memory: 17087 grad_norm: 5.1416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5271 loss: 1.5271 2022/08/03 23:10:11 - mmengine - INFO - Epoch(train) [61][1520/1879] lr: 1.0000e-02 eta: 1 day, 20:01:16 time: 0.4343 data_time: 0.0159 memory: 17087 grad_norm: 5.0760 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6153 loss: 1.6153 2022/08/03 23:10:19 - mmengine - INFO - Epoch(train) [61][1540/1879] lr: 1.0000e-02 eta: 1 day, 20:01:07 time: 0.4247 data_time: 0.0145 memory: 17087 grad_norm: 5.0312 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5654 loss: 1.5654 2022/08/03 23:10:28 - mmengine - INFO - Epoch(train) [61][1560/1879] lr: 1.0000e-02 eta: 1 day, 20:00:58 time: 0.4288 data_time: 0.0160 memory: 17087 grad_norm: 5.0333 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4608 loss: 1.4608 2022/08/03 23:10:36 - mmengine - INFO - Epoch(train) [61][1580/1879] lr: 1.0000e-02 eta: 1 day, 20:00:49 time: 0.4261 data_time: 0.0149 memory: 17087 grad_norm: 5.1129 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5777 loss: 1.5777 2022/08/03 23:10:45 - mmengine - INFO - Epoch(train) [61][1600/1879] lr: 1.0000e-02 eta: 1 day, 20:00:40 time: 0.4282 data_time: 0.0167 memory: 17087 grad_norm: 5.1507 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7065 loss: 1.7065 2022/08/03 23:10:54 - mmengine - INFO - Epoch(train) [61][1620/1879] lr: 1.0000e-02 eta: 1 day, 20:00:31 time: 0.4260 data_time: 0.0138 memory: 17087 grad_norm: 5.1106 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6096 loss: 1.6096 2022/08/03 23:11:03 - mmengine - INFO - Epoch(train) [61][1640/1879] lr: 1.0000e-02 eta: 1 day, 20:00:23 time: 0.4462 data_time: 0.0169 memory: 17087 grad_norm: 5.1176 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3330 loss: 1.3330 2022/08/03 23:11:11 - mmengine - INFO - Epoch(train) [61][1660/1879] lr: 1.0000e-02 eta: 1 day, 20:00:14 time: 0.4249 data_time: 0.0138 memory: 17087 grad_norm: 5.0509 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5912 loss: 1.5912 2022/08/03 23:11:20 - mmengine - INFO - Epoch(train) [61][1680/1879] lr: 1.0000e-02 eta: 1 day, 20:00:07 time: 0.4495 data_time: 0.0174 memory: 17087 grad_norm: 5.0204 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6102 loss: 1.6102 2022/08/03 23:11:29 - mmengine - INFO - Epoch(train) [61][1700/1879] lr: 1.0000e-02 eta: 1 day, 19:59:57 time: 0.4247 data_time: 0.0138 memory: 17087 grad_norm: 5.1907 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7526 loss: 1.7526 2022/08/03 23:11:37 - mmengine - INFO - Epoch(train) [61][1720/1879] lr: 1.0000e-02 eta: 1 day, 19:59:49 time: 0.4398 data_time: 0.0163 memory: 17087 grad_norm: 5.0119 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4862 loss: 1.4862 2022/08/03 23:11:46 - mmengine - INFO - Epoch(train) [61][1740/1879] lr: 1.0000e-02 eta: 1 day, 19:59:40 time: 0.4246 data_time: 0.0140 memory: 17087 grad_norm: 5.0651 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6577 loss: 1.6577 2022/08/03 23:11:55 - mmengine - INFO - Epoch(train) [61][1760/1879] lr: 1.0000e-02 eta: 1 day, 19:59:32 time: 0.4419 data_time: 0.0147 memory: 17087 grad_norm: 5.1065 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.7376 loss: 1.7376 2022/08/03 23:12:03 - mmengine - INFO - Epoch(train) [61][1780/1879] lr: 1.0000e-02 eta: 1 day, 19:59:23 time: 0.4258 data_time: 0.0129 memory: 17087 grad_norm: 5.2073 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6845 loss: 1.6845 2022/08/03 23:12:12 - mmengine - INFO - Epoch(train) [61][1800/1879] lr: 1.0000e-02 eta: 1 day, 19:59:14 time: 0.4271 data_time: 0.0162 memory: 17087 grad_norm: 5.1557 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5793 loss: 1.5793 2022/08/03 23:12:20 - mmengine - INFO - Epoch(train) [61][1820/1879] lr: 1.0000e-02 eta: 1 day, 19:59:05 time: 0.4251 data_time: 0.0140 memory: 17087 grad_norm: 5.1754 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7203 loss: 1.7203 2022/08/03 23:12:29 - mmengine - INFO - Epoch(train) [61][1840/1879] lr: 1.0000e-02 eta: 1 day, 19:58:56 time: 0.4293 data_time: 0.0162 memory: 17087 grad_norm: 5.0162 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4804 loss: 1.4804 2022/08/03 23:12:38 - mmengine - INFO - Epoch(train) [61][1860/1879] lr: 1.0000e-02 eta: 1 day, 19:58:48 time: 0.4365 data_time: 0.0144 memory: 17087 grad_norm: 4.9929 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6394 loss: 1.6394 2022/08/03 23:12:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 23:12:45 - mmengine - INFO - Epoch(train) [61][1879/1879] lr: 1.0000e-02 eta: 1 day, 19:58:48 time: 0.4142 data_time: 0.0166 memory: 17087 grad_norm: 5.1145 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.5157 loss: 1.5157 2022/08/03 23:12:57 - mmengine - INFO - Epoch(train) [62][20/1879] lr: 1.0000e-02 eta: 1 day, 19:58:14 time: 0.5827 data_time: 0.1621 memory: 17087 grad_norm: 4.8662 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.6232 loss: 1.6232 2022/08/03 23:13:06 - mmengine - INFO - Epoch(train) [62][40/1879] lr: 1.0000e-02 eta: 1 day, 19:58:07 time: 0.4475 data_time: 0.0176 memory: 17087 grad_norm: 4.9856 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3984 loss: 1.3984 2022/08/03 23:13:15 - mmengine - INFO - Epoch(train) [62][60/1879] lr: 1.0000e-02 eta: 1 day, 19:57:58 time: 0.4264 data_time: 0.0137 memory: 17087 grad_norm: 5.0756 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5683 loss: 1.5683 2022/08/03 23:13:23 - mmengine - INFO - Epoch(train) [62][80/1879] lr: 1.0000e-02 eta: 1 day, 19:57:49 time: 0.4272 data_time: 0.0174 memory: 17087 grad_norm: 4.9525 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4709 loss: 1.4709 2022/08/03 23:13:32 - mmengine - INFO - Epoch(train) [62][100/1879] lr: 1.0000e-02 eta: 1 day, 19:57:41 time: 0.4436 data_time: 0.0135 memory: 17087 grad_norm: 5.0318 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5108 loss: 1.5108 2022/08/03 23:13:41 - mmengine - INFO - Epoch(train) [62][120/1879] lr: 1.0000e-02 eta: 1 day, 19:57:32 time: 0.4317 data_time: 0.0199 memory: 17087 grad_norm: 5.0404 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7583 loss: 1.7583 2022/08/03 23:13:50 - mmengine - INFO - Epoch(train) [62][140/1879] lr: 1.0000e-02 eta: 1 day, 19:57:24 time: 0.4438 data_time: 0.0154 memory: 17087 grad_norm: 5.1069 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5593 loss: 1.5593 2022/08/03 23:13:58 - mmengine - INFO - Epoch(train) [62][160/1879] lr: 1.0000e-02 eta: 1 day, 19:57:15 time: 0.4260 data_time: 0.0168 memory: 17087 grad_norm: 5.2768 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6273 loss: 1.6273 2022/08/03 23:14:07 - mmengine - INFO - Epoch(train) [62][180/1879] lr: 1.0000e-02 eta: 1 day, 19:57:07 time: 0.4332 data_time: 0.0131 memory: 17087 grad_norm: 5.1025 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4572 loss: 1.4572 2022/08/03 23:14:15 - mmengine - INFO - Epoch(train) [62][200/1879] lr: 1.0000e-02 eta: 1 day, 19:56:58 time: 0.4273 data_time: 0.0152 memory: 17087 grad_norm: 5.1156 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7690 loss: 1.7690 2022/08/03 23:14:24 - mmengine - INFO - Epoch(train) [62][220/1879] lr: 1.0000e-02 eta: 1 day, 19:56:49 time: 0.4244 data_time: 0.0141 memory: 17087 grad_norm: 4.8994 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5828 loss: 1.5828 2022/08/03 23:14:33 - mmengine - INFO - Epoch(train) [62][240/1879] lr: 1.0000e-02 eta: 1 day, 19:56:40 time: 0.4353 data_time: 0.0160 memory: 17087 grad_norm: 5.1086 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6183 loss: 1.6183 2022/08/03 23:14:41 - mmengine - INFO - Epoch(train) [62][260/1879] lr: 1.0000e-02 eta: 1 day, 19:56:31 time: 0.4252 data_time: 0.0151 memory: 17087 grad_norm: 5.0545 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5380 loss: 1.5380 2022/08/03 23:14:50 - mmengine - INFO - Epoch(train) [62][280/1879] lr: 1.0000e-02 eta: 1 day, 19:56:22 time: 0.4283 data_time: 0.0166 memory: 17087 grad_norm: 5.1156 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5997 loss: 1.5997 2022/08/03 23:14:58 - mmengine - INFO - Epoch(train) [62][300/1879] lr: 1.0000e-02 eta: 1 day, 19:56:13 time: 0.4241 data_time: 0.0158 memory: 17087 grad_norm: 5.0974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5959 loss: 1.5959 2022/08/03 23:15:07 - mmengine - INFO - Epoch(train) [62][320/1879] lr: 1.0000e-02 eta: 1 day, 19:56:04 time: 0.4281 data_time: 0.0168 memory: 17087 grad_norm: 4.9309 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.4599 loss: 1.4599 2022/08/03 23:15:15 - mmengine - INFO - Epoch(train) [62][340/1879] lr: 1.0000e-02 eta: 1 day, 19:55:55 time: 0.4272 data_time: 0.0146 memory: 17087 grad_norm: 5.0466 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3772 loss: 1.3772 2022/08/03 23:15:24 - mmengine - INFO - Epoch(train) [62][360/1879] lr: 1.0000e-02 eta: 1 day, 19:55:46 time: 0.4244 data_time: 0.0149 memory: 17087 grad_norm: 5.0972 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5332 loss: 1.5332 2022/08/03 23:15:32 - mmengine - INFO - Epoch(train) [62][380/1879] lr: 1.0000e-02 eta: 1 day, 19:55:37 time: 0.4295 data_time: 0.0175 memory: 17087 grad_norm: 5.1824 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4959 loss: 1.4959 2022/08/03 23:15:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 23:15:41 - mmengine - INFO - Epoch(train) [62][400/1879] lr: 1.0000e-02 eta: 1 day, 19:55:28 time: 0.4259 data_time: 0.0165 memory: 17087 grad_norm: 5.0676 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4434 loss: 1.4434 2022/08/03 23:15:50 - mmengine - INFO - Epoch(train) [62][420/1879] lr: 1.0000e-02 eta: 1 day, 19:55:20 time: 0.4341 data_time: 0.0148 memory: 17087 grad_norm: 4.9945 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5237 loss: 1.5237 2022/08/03 23:15:58 - mmengine - INFO - Epoch(train) [62][440/1879] lr: 1.0000e-02 eta: 1 day, 19:55:11 time: 0.4261 data_time: 0.0167 memory: 17087 grad_norm: 5.2062 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6428 loss: 1.6428 2022/08/03 23:16:07 - mmengine - INFO - Epoch(train) [62][460/1879] lr: 1.0000e-02 eta: 1 day, 19:55:03 time: 0.4377 data_time: 0.0148 memory: 17087 grad_norm: 5.0557 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7370 loss: 1.7370 2022/08/03 23:16:15 - mmengine - INFO - Epoch(train) [62][480/1879] lr: 1.0000e-02 eta: 1 day, 19:54:54 time: 0.4275 data_time: 0.0174 memory: 17087 grad_norm: 5.1636 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5645 loss: 1.5645 2022/08/03 23:16:24 - mmengine - INFO - Epoch(train) [62][500/1879] lr: 1.0000e-02 eta: 1 day, 19:54:45 time: 0.4250 data_time: 0.0145 memory: 17087 grad_norm: 5.0718 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4883 loss: 1.4883 2022/08/03 23:16:32 - mmengine - INFO - Epoch(train) [62][520/1879] lr: 1.0000e-02 eta: 1 day, 19:54:36 time: 0.4264 data_time: 0.0168 memory: 17087 grad_norm: 4.9113 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6178 loss: 1.6178 2022/08/03 23:16:41 - mmengine - INFO - Epoch(train) [62][540/1879] lr: 1.0000e-02 eta: 1 day, 19:54:27 time: 0.4303 data_time: 0.0155 memory: 17087 grad_norm: 5.0350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4241 loss: 1.4241 2022/08/03 23:16:50 - mmengine - INFO - Epoch(train) [62][560/1879] lr: 1.0000e-02 eta: 1 day, 19:54:18 time: 0.4313 data_time: 0.0201 memory: 17087 grad_norm: 4.9618 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4591 loss: 1.4591 2022/08/03 23:16:58 - mmengine - INFO - Epoch(train) [62][580/1879] lr: 1.0000e-02 eta: 1 day, 19:54:10 time: 0.4377 data_time: 0.0146 memory: 17087 grad_norm: 4.9682 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5505 loss: 1.5505 2022/08/03 23:17:07 - mmengine - INFO - Epoch(train) [62][600/1879] lr: 1.0000e-02 eta: 1 day, 19:54:01 time: 0.4269 data_time: 0.0158 memory: 17087 grad_norm: 5.0238 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5831 loss: 1.5831 2022/08/03 23:17:16 - mmengine - INFO - Epoch(train) [62][620/1879] lr: 1.0000e-02 eta: 1 day, 19:53:53 time: 0.4467 data_time: 0.0152 memory: 17087 grad_norm: 5.2744 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7480 loss: 1.7480 2022/08/03 23:17:25 - mmengine - INFO - Epoch(train) [62][640/1879] lr: 1.0000e-02 eta: 1 day, 19:53:44 time: 0.4270 data_time: 0.0155 memory: 17087 grad_norm: 5.1270 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5306 loss: 1.5306 2022/08/03 23:17:33 - mmengine - INFO - Epoch(train) [62][660/1879] lr: 1.0000e-02 eta: 1 day, 19:53:35 time: 0.4239 data_time: 0.0147 memory: 17087 grad_norm: 5.0024 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6034 loss: 1.6034 2022/08/03 23:17:42 - mmengine - INFO - Epoch(train) [62][680/1879] lr: 1.0000e-02 eta: 1 day, 19:53:26 time: 0.4291 data_time: 0.0156 memory: 17087 grad_norm: 5.0447 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4547 loss: 1.4547 2022/08/03 23:17:50 - mmengine - INFO - Epoch(train) [62][700/1879] lr: 1.0000e-02 eta: 1 day, 19:53:17 time: 0.4260 data_time: 0.0136 memory: 17087 grad_norm: 5.1404 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6081 loss: 1.6081 2022/08/03 23:17:59 - mmengine - INFO - Epoch(train) [62][720/1879] lr: 1.0000e-02 eta: 1 day, 19:53:08 time: 0.4282 data_time: 0.0173 memory: 17087 grad_norm: 5.0516 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3514 loss: 1.3514 2022/08/03 23:18:07 - mmengine - INFO - Epoch(train) [62][740/1879] lr: 1.0000e-02 eta: 1 day, 19:52:59 time: 0.4260 data_time: 0.0124 memory: 17087 grad_norm: 5.0356 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4936 loss: 1.4936 2022/08/03 23:18:16 - mmengine - INFO - Epoch(train) [62][760/1879] lr: 1.0000e-02 eta: 1 day, 19:52:51 time: 0.4345 data_time: 0.0178 memory: 17087 grad_norm: 5.1669 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7080 loss: 1.7080 2022/08/03 23:18:24 - mmengine - INFO - Epoch(train) [62][780/1879] lr: 1.0000e-02 eta: 1 day, 19:52:42 time: 0.4245 data_time: 0.0147 memory: 17087 grad_norm: 4.9879 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4036 loss: 1.4036 2022/08/03 23:18:33 - mmengine - INFO - Epoch(train) [62][800/1879] lr: 1.0000e-02 eta: 1 day, 19:52:33 time: 0.4259 data_time: 0.0149 memory: 17087 grad_norm: 4.9134 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5710 loss: 1.5710 2022/08/03 23:18:42 - mmengine - INFO - Epoch(train) [62][820/1879] lr: 1.0000e-02 eta: 1 day, 19:52:24 time: 0.4366 data_time: 0.0153 memory: 17087 grad_norm: 4.9869 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4262 loss: 1.4262 2022/08/03 23:18:50 - mmengine - INFO - Epoch(train) [62][840/1879] lr: 1.0000e-02 eta: 1 day, 19:52:15 time: 0.4279 data_time: 0.0157 memory: 17087 grad_norm: 5.2327 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6676 loss: 1.6676 2022/08/03 23:18:59 - mmengine - INFO - Epoch(train) [62][860/1879] lr: 1.0000e-02 eta: 1 day, 19:52:06 time: 0.4276 data_time: 0.0161 memory: 17087 grad_norm: 4.9057 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5600 loss: 1.5600 2022/08/03 23:19:07 - mmengine - INFO - Epoch(train) [62][880/1879] lr: 1.0000e-02 eta: 1 day, 19:51:58 time: 0.4274 data_time: 0.0158 memory: 17087 grad_norm: 5.1083 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5926 loss: 1.5926 2022/08/03 23:19:16 - mmengine - INFO - Epoch(train) [62][900/1879] lr: 1.0000e-02 eta: 1 day, 19:51:50 time: 0.4455 data_time: 0.0145 memory: 17087 grad_norm: 5.0357 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5884 loss: 1.5884 2022/08/03 23:19:25 - mmengine - INFO - Epoch(train) [62][920/1879] lr: 1.0000e-02 eta: 1 day, 19:51:41 time: 0.4312 data_time: 0.0156 memory: 17087 grad_norm: 5.0358 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7099 loss: 1.7099 2022/08/03 23:19:33 - mmengine - INFO - Epoch(train) [62][940/1879] lr: 1.0000e-02 eta: 1 day, 19:51:32 time: 0.4262 data_time: 0.0147 memory: 17087 grad_norm: 5.0687 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6244 loss: 1.6244 2022/08/03 23:19:42 - mmengine - INFO - Epoch(train) [62][960/1879] lr: 1.0000e-02 eta: 1 day, 19:51:23 time: 0.4317 data_time: 0.0159 memory: 17087 grad_norm: 4.9284 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5407 loss: 1.5407 2022/08/03 23:19:51 - mmengine - INFO - Epoch(train) [62][980/1879] lr: 1.0000e-02 eta: 1 day, 19:51:14 time: 0.4253 data_time: 0.0149 memory: 17087 grad_norm: 5.0964 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3741 loss: 1.3741 2022/08/03 23:20:00 - mmengine - INFO - Epoch(train) [62][1000/1879] lr: 1.0000e-02 eta: 1 day, 19:51:07 time: 0.4457 data_time: 0.0163 memory: 17087 grad_norm: 5.0574 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6657 loss: 1.6657 2022/08/03 23:20:08 - mmengine - INFO - Epoch(train) [62][1020/1879] lr: 1.0000e-02 eta: 1 day, 19:50:57 time: 0.4248 data_time: 0.0151 memory: 17087 grad_norm: 5.0112 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5959 loss: 1.5959 2022/08/03 23:20:17 - mmengine - INFO - Epoch(train) [62][1040/1879] lr: 1.0000e-02 eta: 1 day, 19:50:49 time: 0.4344 data_time: 0.0166 memory: 17087 grad_norm: 5.0498 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7983 loss: 1.7983 2022/08/03 23:20:25 - mmengine - INFO - Epoch(train) [62][1060/1879] lr: 1.0000e-02 eta: 1 day, 19:50:40 time: 0.4231 data_time: 0.0145 memory: 17087 grad_norm: 5.0638 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4989 loss: 1.4989 2022/08/03 23:20:34 - mmengine - INFO - Epoch(train) [62][1080/1879] lr: 1.0000e-02 eta: 1 day, 19:50:31 time: 0.4295 data_time: 0.0179 memory: 17087 grad_norm: 4.9443 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2220 loss: 1.2220 2022/08/03 23:20:42 - mmengine - INFO - Epoch(train) [62][1100/1879] lr: 1.0000e-02 eta: 1 day, 19:50:22 time: 0.4240 data_time: 0.0120 memory: 17087 grad_norm: 5.1505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6843 loss: 1.6843 2022/08/03 23:20:51 - mmengine - INFO - Epoch(train) [62][1120/1879] lr: 1.0000e-02 eta: 1 day, 19:50:13 time: 0.4270 data_time: 0.0149 memory: 17087 grad_norm: 5.1006 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6429 loss: 1.6429 2022/08/03 23:20:59 - mmengine - INFO - Epoch(train) [62][1140/1879] lr: 1.0000e-02 eta: 1 day, 19:50:04 time: 0.4317 data_time: 0.0145 memory: 17087 grad_norm: 5.1608 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6836 loss: 1.6836 2022/08/03 23:21:08 - mmengine - INFO - Epoch(train) [62][1160/1879] lr: 1.0000e-02 eta: 1 day, 19:49:55 time: 0.4297 data_time: 0.0160 memory: 17087 grad_norm: 5.0381 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5624 loss: 1.5624 2022/08/03 23:21:17 - mmengine - INFO - Epoch(train) [62][1180/1879] lr: 1.0000e-02 eta: 1 day, 19:49:47 time: 0.4338 data_time: 0.0192 memory: 17087 grad_norm: 5.0985 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8156 loss: 1.8156 2022/08/03 23:21:25 - mmengine - INFO - Epoch(train) [62][1200/1879] lr: 1.0000e-02 eta: 1 day, 19:49:38 time: 0.4287 data_time: 0.0145 memory: 17087 grad_norm: 4.8318 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4404 loss: 1.4404 2022/08/03 23:21:34 - mmengine - INFO - Epoch(train) [62][1220/1879] lr: 1.0000e-02 eta: 1 day, 19:49:29 time: 0.4254 data_time: 0.0132 memory: 17087 grad_norm: 5.1104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5570 loss: 1.5570 2022/08/03 23:21:42 - mmengine - INFO - Epoch(train) [62][1240/1879] lr: 1.0000e-02 eta: 1 day, 19:49:20 time: 0.4291 data_time: 0.0161 memory: 17087 grad_norm: 5.0086 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5001 loss: 1.5001 2022/08/03 23:21:51 - mmengine - INFO - Epoch(train) [62][1260/1879] lr: 1.0000e-02 eta: 1 day, 19:49:11 time: 0.4277 data_time: 0.0146 memory: 17087 grad_norm: 5.0941 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5604 loss: 1.5604 2022/08/03 23:22:00 - mmengine - INFO - Epoch(train) [62][1280/1879] lr: 1.0000e-02 eta: 1 day, 19:49:03 time: 0.4333 data_time: 0.0154 memory: 17087 grad_norm: 5.0440 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7490 loss: 1.7490 2022/08/03 23:22:08 - mmengine - INFO - Epoch(train) [62][1300/1879] lr: 1.0000e-02 eta: 1 day, 19:48:54 time: 0.4266 data_time: 0.0148 memory: 17087 grad_norm: 5.1567 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4215 loss: 1.4215 2022/08/03 23:22:17 - mmengine - INFO - Epoch(train) [62][1320/1879] lr: 1.0000e-02 eta: 1 day, 19:48:45 time: 0.4272 data_time: 0.0169 memory: 17087 grad_norm: 5.0690 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4635 loss: 1.4635 2022/08/03 23:22:25 - mmengine - INFO - Epoch(train) [62][1340/1879] lr: 1.0000e-02 eta: 1 day, 19:48:36 time: 0.4246 data_time: 0.0140 memory: 17087 grad_norm: 4.9986 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6277 loss: 1.6277 2022/08/03 23:22:34 - mmengine - INFO - Epoch(train) [62][1360/1879] lr: 1.0000e-02 eta: 1 day, 19:48:27 time: 0.4277 data_time: 0.0163 memory: 17087 grad_norm: 5.0773 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6877 loss: 1.6877 2022/08/03 23:22:42 - mmengine - INFO - Epoch(train) [62][1380/1879] lr: 1.0000e-02 eta: 1 day, 19:48:18 time: 0.4271 data_time: 0.0172 memory: 17087 grad_norm: 5.0965 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5397 loss: 1.5397 2022/08/03 23:22:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 23:22:51 - mmengine - INFO - Epoch(train) [62][1400/1879] lr: 1.0000e-02 eta: 1 day, 19:48:10 time: 0.4413 data_time: 0.0163 memory: 17087 grad_norm: 5.0947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6468 loss: 1.6468 2022/08/03 23:23:00 - mmengine - INFO - Epoch(train) [62][1420/1879] lr: 1.0000e-02 eta: 1 day, 19:48:01 time: 0.4284 data_time: 0.0139 memory: 17087 grad_norm: 5.2119 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6645 loss: 1.6645 2022/08/03 23:23:09 - mmengine - INFO - Epoch(train) [62][1440/1879] lr: 1.0000e-02 eta: 1 day, 19:47:53 time: 0.4475 data_time: 0.0168 memory: 17087 grad_norm: 5.0470 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4972 loss: 1.4972 2022/08/03 23:23:17 - mmengine - INFO - Epoch(train) [62][1460/1879] lr: 1.0000e-02 eta: 1 day, 19:47:44 time: 0.4264 data_time: 0.0152 memory: 17087 grad_norm: 5.0403 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4561 loss: 1.4561 2022/08/03 23:23:26 - mmengine - INFO - Epoch(train) [62][1480/1879] lr: 1.0000e-02 eta: 1 day, 19:47:35 time: 0.4303 data_time: 0.0160 memory: 17087 grad_norm: 5.0237 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5520 loss: 1.5520 2022/08/03 23:23:34 - mmengine - INFO - Epoch(train) [62][1500/1879] lr: 1.0000e-02 eta: 1 day, 19:47:26 time: 0.4264 data_time: 0.0164 memory: 17087 grad_norm: 5.1127 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4370 loss: 1.4370 2022/08/03 23:23:43 - mmengine - INFO - Epoch(train) [62][1520/1879] lr: 1.0000e-02 eta: 1 day, 19:47:18 time: 0.4276 data_time: 0.0154 memory: 17087 grad_norm: 4.9880 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5946 loss: 1.5946 2022/08/03 23:23:52 - mmengine - INFO - Epoch(train) [62][1540/1879] lr: 1.0000e-02 eta: 1 day, 19:47:09 time: 0.4288 data_time: 0.0146 memory: 17087 grad_norm: 5.0010 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7700 loss: 1.7700 2022/08/03 23:24:00 - mmengine - INFO - Epoch(train) [62][1560/1879] lr: 1.0000e-02 eta: 1 day, 19:47:00 time: 0.4269 data_time: 0.0158 memory: 17087 grad_norm: 5.2034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5831 loss: 1.5831 2022/08/03 23:24:09 - mmengine - INFO - Epoch(train) [62][1580/1879] lr: 1.0000e-02 eta: 1 day, 19:46:51 time: 0.4335 data_time: 0.0147 memory: 17087 grad_norm: 5.1656 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5603 loss: 1.5603 2022/08/03 23:24:17 - mmengine - INFO - Epoch(train) [62][1600/1879] lr: 1.0000e-02 eta: 1 day, 19:46:42 time: 0.4260 data_time: 0.0168 memory: 17087 grad_norm: 5.0272 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5532 loss: 1.5532 2022/08/03 23:24:26 - mmengine - INFO - Epoch(train) [62][1620/1879] lr: 1.0000e-02 eta: 1 day, 19:46:33 time: 0.4270 data_time: 0.0152 memory: 17087 grad_norm: 5.0461 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5376 loss: 1.5376 2022/08/03 23:24:34 - mmengine - INFO - Epoch(train) [62][1640/1879] lr: 1.0000e-02 eta: 1 day, 19:46:24 time: 0.4250 data_time: 0.0150 memory: 17087 grad_norm: 5.0209 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4662 loss: 1.4662 2022/08/03 23:24:43 - mmengine - INFO - Epoch(train) [62][1660/1879] lr: 1.0000e-02 eta: 1 day, 19:46:15 time: 0.4265 data_time: 0.0162 memory: 17087 grad_norm: 4.9136 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5697 loss: 1.5697 2022/08/03 23:24:52 - mmengine - INFO - Epoch(train) [62][1680/1879] lr: 1.0000e-02 eta: 1 day, 19:46:06 time: 0.4319 data_time: 0.0172 memory: 17087 grad_norm: 4.8977 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3900 loss: 1.3900 2022/08/03 23:25:00 - mmengine - INFO - Epoch(train) [62][1700/1879] lr: 1.0000e-02 eta: 1 day, 19:45:57 time: 0.4254 data_time: 0.0140 memory: 17087 grad_norm: 5.0681 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5641 loss: 1.5641 2022/08/03 23:25:09 - mmengine - INFO - Epoch(train) [62][1720/1879] lr: 1.0000e-02 eta: 1 day, 19:45:50 time: 0.4446 data_time: 0.0155 memory: 17087 grad_norm: 4.9887 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5526 loss: 1.5526 2022/08/03 23:25:17 - mmengine - INFO - Epoch(train) [62][1740/1879] lr: 1.0000e-02 eta: 1 day, 19:45:40 time: 0.4232 data_time: 0.0143 memory: 17087 grad_norm: 5.1204 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.5090 loss: 1.5090 2022/08/03 23:25:26 - mmengine - INFO - Epoch(train) [62][1760/1879] lr: 1.0000e-02 eta: 1 day, 19:45:31 time: 0.4260 data_time: 0.0152 memory: 17087 grad_norm: 5.2643 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5792 loss: 1.5792 2022/08/03 23:25:35 - mmengine - INFO - Epoch(train) [62][1780/1879] lr: 1.0000e-02 eta: 1 day, 19:45:22 time: 0.4246 data_time: 0.0150 memory: 17087 grad_norm: 5.1480 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6533 loss: 1.6533 2022/08/03 23:25:43 - mmengine - INFO - Epoch(train) [62][1800/1879] lr: 1.0000e-02 eta: 1 day, 19:45:13 time: 0.4250 data_time: 0.0147 memory: 17087 grad_norm: 5.0683 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4482 loss: 1.4482 2022/08/03 23:25:52 - mmengine - INFO - Epoch(train) [62][1820/1879] lr: 1.0000e-02 eta: 1 day, 19:45:05 time: 0.4314 data_time: 0.0155 memory: 17087 grad_norm: 5.0020 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5340 loss: 1.5340 2022/08/03 23:26:00 - mmengine - INFO - Epoch(train) [62][1840/1879] lr: 1.0000e-02 eta: 1 day, 19:44:55 time: 0.4250 data_time: 0.0150 memory: 17087 grad_norm: 5.0677 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4229 loss: 1.4229 2022/08/03 23:26:09 - mmengine - INFO - Epoch(train) [62][1860/1879] lr: 1.0000e-02 eta: 1 day, 19:44:47 time: 0.4418 data_time: 0.0145 memory: 17087 grad_norm: 5.3181 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6146 loss: 1.6146 2022/08/03 23:26:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 23:26:17 - mmengine - INFO - Epoch(train) [62][1879/1879] lr: 1.0000e-02 eta: 1 day, 19:44:47 time: 0.4103 data_time: 0.0154 memory: 17087 grad_norm: 5.1246 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.5272 loss: 1.5272 2022/08/03 23:26:28 - mmengine - INFO - Epoch(train) [63][20/1879] lr: 1.0000e-02 eta: 1 day, 19:44:13 time: 0.5550 data_time: 0.1301 memory: 17087 grad_norm: 5.0126 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5794 loss: 1.5794 2022/08/03 23:26:37 - mmengine - INFO - Epoch(train) [63][40/1879] lr: 1.0000e-02 eta: 1 day, 19:44:05 time: 0.4471 data_time: 0.0227 memory: 17087 grad_norm: 4.9302 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5919 loss: 1.5919 2022/08/03 23:26:45 - mmengine - INFO - Epoch(train) [63][60/1879] lr: 1.0000e-02 eta: 1 day, 19:43:56 time: 0.4256 data_time: 0.0141 memory: 17087 grad_norm: 5.0175 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5751 loss: 1.5751 2022/08/03 23:26:54 - mmengine - INFO - Epoch(train) [63][80/1879] lr: 1.0000e-02 eta: 1 day, 19:43:47 time: 0.4267 data_time: 0.0158 memory: 17087 grad_norm: 5.1605 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5993 loss: 1.5993 2022/08/03 23:27:03 - mmengine - INFO - Epoch(train) [63][100/1879] lr: 1.0000e-02 eta: 1 day, 19:43:38 time: 0.4274 data_time: 0.0144 memory: 17087 grad_norm: 5.1400 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3854 loss: 1.3854 2022/08/03 23:27:11 - mmengine - INFO - Epoch(train) [63][120/1879] lr: 1.0000e-02 eta: 1 day, 19:43:29 time: 0.4313 data_time: 0.0167 memory: 17087 grad_norm: 5.0047 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6488 loss: 1.6488 2022/08/03 23:27:20 - mmengine - INFO - Epoch(train) [63][140/1879] lr: 1.0000e-02 eta: 1 day, 19:43:21 time: 0.4336 data_time: 0.0118 memory: 17087 grad_norm: 4.9166 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3584 loss: 1.3584 2022/08/03 23:27:28 - mmengine - INFO - Epoch(train) [63][160/1879] lr: 1.0000e-02 eta: 1 day, 19:43:12 time: 0.4307 data_time: 0.0171 memory: 17087 grad_norm: 5.0430 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4268 loss: 1.4268 2022/08/03 23:27:37 - mmengine - INFO - Epoch(train) [63][180/1879] lr: 1.0000e-02 eta: 1 day, 19:43:03 time: 0.4257 data_time: 0.0129 memory: 17087 grad_norm: 5.1154 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4309 loss: 1.4309 2022/08/03 23:27:45 - mmengine - INFO - Epoch(train) [63][200/1879] lr: 1.0000e-02 eta: 1 day, 19:42:54 time: 0.4243 data_time: 0.0149 memory: 17087 grad_norm: 5.0868 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5708 loss: 1.5708 2022/08/03 23:27:54 - mmengine - INFO - Epoch(train) [63][220/1879] lr: 1.0000e-02 eta: 1 day, 19:42:45 time: 0.4360 data_time: 0.0136 memory: 17087 grad_norm: 5.2084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6653 loss: 1.6653 2022/08/03 23:28:03 - mmengine - INFO - Epoch(train) [63][240/1879] lr: 1.0000e-02 eta: 1 day, 19:42:36 time: 0.4246 data_time: 0.0156 memory: 17087 grad_norm: 5.2144 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7008 loss: 1.7008 2022/08/03 23:28:11 - mmengine - INFO - Epoch(train) [63][260/1879] lr: 1.0000e-02 eta: 1 day, 19:42:28 time: 0.4336 data_time: 0.0149 memory: 17087 grad_norm: 5.0849 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7748 loss: 1.7748 2022/08/03 23:28:20 - mmengine - INFO - Epoch(train) [63][280/1879] lr: 1.0000e-02 eta: 1 day, 19:42:19 time: 0.4284 data_time: 0.0158 memory: 17087 grad_norm: 4.9123 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3067 loss: 1.3067 2022/08/03 23:28:29 - mmengine - INFO - Epoch(train) [63][300/1879] lr: 1.0000e-02 eta: 1 day, 19:42:11 time: 0.4412 data_time: 0.0154 memory: 17087 grad_norm: 5.0626 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6083 loss: 1.6083 2022/08/03 23:28:37 - mmengine - INFO - Epoch(train) [63][320/1879] lr: 1.0000e-02 eta: 1 day, 19:42:02 time: 0.4263 data_time: 0.0159 memory: 17087 grad_norm: 5.1001 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6912 loss: 1.6912 2022/08/03 23:28:46 - mmengine - INFO - Epoch(train) [63][340/1879] lr: 1.0000e-02 eta: 1 day, 19:41:53 time: 0.4260 data_time: 0.0162 memory: 17087 grad_norm: 5.2894 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.8022 loss: 1.8022 2022/08/03 23:28:54 - mmengine - INFO - Epoch(train) [63][360/1879] lr: 1.0000e-02 eta: 1 day, 19:41:44 time: 0.4279 data_time: 0.0161 memory: 17087 grad_norm: 5.0833 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7237 loss: 1.7237 2022/08/03 23:29:03 - mmengine - INFO - Epoch(train) [63][380/1879] lr: 1.0000e-02 eta: 1 day, 19:41:35 time: 0.4264 data_time: 0.0128 memory: 17087 grad_norm: 5.0002 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5394 loss: 1.5394 2022/08/03 23:29:12 - mmengine - INFO - Epoch(train) [63][400/1879] lr: 1.0000e-02 eta: 1 day, 19:41:27 time: 0.4353 data_time: 0.0175 memory: 17087 grad_norm: 4.9993 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4361 loss: 1.4361 2022/08/03 23:29:20 - mmengine - INFO - Epoch(train) [63][420/1879] lr: 1.0000e-02 eta: 1 day, 19:41:18 time: 0.4246 data_time: 0.0140 memory: 17087 grad_norm: 5.1032 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5312 loss: 1.5312 2022/08/03 23:29:29 - mmengine - INFO - Epoch(train) [63][440/1879] lr: 1.0000e-02 eta: 1 day, 19:41:09 time: 0.4350 data_time: 0.0162 memory: 17087 grad_norm: 4.9579 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3809 loss: 1.3809 2022/08/03 23:29:37 - mmengine - INFO - Epoch(train) [63][460/1879] lr: 1.0000e-02 eta: 1 day, 19:41:00 time: 0.4238 data_time: 0.0128 memory: 17087 grad_norm: 5.1206 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4469 loss: 1.4469 2022/08/03 23:29:46 - mmengine - INFO - Epoch(train) [63][480/1879] lr: 1.0000e-02 eta: 1 day, 19:40:51 time: 0.4266 data_time: 0.0145 memory: 17087 grad_norm: 5.2586 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5477 loss: 1.5477 2022/08/03 23:29:54 - mmengine - INFO - Epoch(train) [63][500/1879] lr: 1.0000e-02 eta: 1 day, 19:40:42 time: 0.4252 data_time: 0.0124 memory: 17087 grad_norm: 4.9475 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7114 loss: 1.7114 2022/08/03 23:29:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 23:30:03 - mmengine - INFO - Epoch(train) [63][520/1879] lr: 1.0000e-02 eta: 1 day, 19:40:33 time: 0.4267 data_time: 0.0154 memory: 17087 grad_norm: 5.1725 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5576 loss: 1.5576 2022/08/03 23:30:12 - mmengine - INFO - Epoch(train) [63][540/1879] lr: 1.0000e-02 eta: 1 day, 19:40:24 time: 0.4272 data_time: 0.0160 memory: 17087 grad_norm: 5.1341 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6535 loss: 1.6535 2022/08/03 23:30:20 - mmengine - INFO - Epoch(train) [63][560/1879] lr: 1.0000e-02 eta: 1 day, 19:40:15 time: 0.4286 data_time: 0.0162 memory: 17087 grad_norm: 5.1401 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5233 loss: 1.5233 2022/08/03 23:30:29 - mmengine - INFO - Epoch(train) [63][580/1879] lr: 1.0000e-02 eta: 1 day, 19:40:06 time: 0.4291 data_time: 0.0149 memory: 17087 grad_norm: 5.1639 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6374 loss: 1.6374 2022/08/03 23:30:37 - mmengine - INFO - Epoch(train) [63][600/1879] lr: 1.0000e-02 eta: 1 day, 19:39:58 time: 0.4320 data_time: 0.0162 memory: 17087 grad_norm: 5.1632 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5415 loss: 1.5415 2022/08/03 23:30:46 - mmengine - INFO - Epoch(train) [63][620/1879] lr: 1.0000e-02 eta: 1 day, 19:39:49 time: 0.4275 data_time: 0.0146 memory: 17087 grad_norm: 5.0177 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5505 loss: 1.5505 2022/08/03 23:30:55 - mmengine - INFO - Epoch(train) [63][640/1879] lr: 1.0000e-02 eta: 1 day, 19:39:40 time: 0.4309 data_time: 0.0170 memory: 17087 grad_norm: 5.1320 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3845 loss: 1.3845 2022/08/03 23:31:03 - mmengine - INFO - Epoch(train) [63][660/1879] lr: 1.0000e-02 eta: 1 day, 19:39:31 time: 0.4235 data_time: 0.0131 memory: 17087 grad_norm: 5.3217 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5405 loss: 1.5405 2022/08/03 23:31:12 - mmengine - INFO - Epoch(train) [63][680/1879] lr: 1.0000e-02 eta: 1 day, 19:39:23 time: 0.4468 data_time: 0.0169 memory: 17087 grad_norm: 5.1019 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4624 loss: 1.4624 2022/08/03 23:31:20 - mmengine - INFO - Epoch(train) [63][700/1879] lr: 1.0000e-02 eta: 1 day, 19:39:14 time: 0.4247 data_time: 0.0143 memory: 17087 grad_norm: 5.0194 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6518 loss: 1.6518 2022/08/03 23:31:29 - mmengine - INFO - Epoch(train) [63][720/1879] lr: 1.0000e-02 eta: 1 day, 19:39:06 time: 0.4326 data_time: 0.0155 memory: 17087 grad_norm: 5.1137 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7262 loss: 1.7262 2022/08/03 23:31:38 - mmengine - INFO - Epoch(train) [63][740/1879] lr: 1.0000e-02 eta: 1 day, 19:38:56 time: 0.4239 data_time: 0.0132 memory: 17087 grad_norm: 5.1953 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5879 loss: 1.5879 2022/08/03 23:31:46 - mmengine - INFO - Epoch(train) [63][760/1879] lr: 1.0000e-02 eta: 1 day, 19:38:47 time: 0.4265 data_time: 0.0169 memory: 17087 grad_norm: 5.0945 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4468 loss: 1.4468 2022/08/03 23:31:55 - mmengine - INFO - Epoch(train) [63][780/1879] lr: 1.0000e-02 eta: 1 day, 19:38:38 time: 0.4247 data_time: 0.0138 memory: 17087 grad_norm: 4.9649 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4577 loss: 1.4577 2022/08/03 23:32:03 - mmengine - INFO - Epoch(train) [63][800/1879] lr: 1.0000e-02 eta: 1 day, 19:38:29 time: 0.4250 data_time: 0.0148 memory: 17087 grad_norm: 4.9552 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6837 loss: 1.6837 2022/08/03 23:32:12 - mmengine - INFO - Epoch(train) [63][820/1879] lr: 1.0000e-02 eta: 1 day, 19:38:21 time: 0.4331 data_time: 0.0143 memory: 17087 grad_norm: 4.9786 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3732 loss: 1.3732 2022/08/03 23:32:20 - mmengine - INFO - Epoch(train) [63][840/1879] lr: 1.0000e-02 eta: 1 day, 19:38:12 time: 0.4260 data_time: 0.0156 memory: 17087 grad_norm: 4.9172 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6395 loss: 1.6395 2022/08/03 23:32:29 - mmengine - INFO - Epoch(train) [63][860/1879] lr: 1.0000e-02 eta: 1 day, 19:38:03 time: 0.4337 data_time: 0.0155 memory: 17087 grad_norm: 5.1298 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5220 loss: 1.5220 2022/08/03 23:32:38 - mmengine - INFO - Epoch(train) [63][880/1879] lr: 1.0000e-02 eta: 1 day, 19:37:54 time: 0.4260 data_time: 0.0154 memory: 17087 grad_norm: 4.9672 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5631 loss: 1.5631 2022/08/03 23:32:46 - mmengine - INFO - Epoch(train) [63][900/1879] lr: 1.0000e-02 eta: 1 day, 19:37:45 time: 0.4243 data_time: 0.0150 memory: 17087 grad_norm: 5.0748 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3721 loss: 1.3721 2022/08/03 23:32:55 - mmengine - INFO - Epoch(train) [63][920/1879] lr: 1.0000e-02 eta: 1 day, 19:37:36 time: 0.4303 data_time: 0.0146 memory: 17087 grad_norm: 5.0864 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6088 loss: 1.6088 2022/08/03 23:33:03 - mmengine - INFO - Epoch(train) [63][940/1879] lr: 1.0000e-02 eta: 1 day, 19:37:27 time: 0.4285 data_time: 0.0164 memory: 17087 grad_norm: 5.0012 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6522 loss: 1.6522 2022/08/03 23:33:12 - mmengine - INFO - Epoch(train) [63][960/1879] lr: 1.0000e-02 eta: 1 day, 19:37:19 time: 0.4287 data_time: 0.0155 memory: 17087 grad_norm: 5.1173 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5662 loss: 1.5662 2022/08/03 23:33:20 - mmengine - INFO - Epoch(train) [63][980/1879] lr: 1.0000e-02 eta: 1 day, 19:37:10 time: 0.4259 data_time: 0.0161 memory: 17087 grad_norm: 5.0977 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4475 loss: 1.4475 2022/08/03 23:33:29 - mmengine - INFO - Epoch(train) [63][1000/1879] lr: 1.0000e-02 eta: 1 day, 19:37:01 time: 0.4402 data_time: 0.0287 memory: 17087 grad_norm: 5.2548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5601 loss: 1.5601 2022/08/03 23:33:38 - mmengine - INFO - Epoch(train) [63][1020/1879] lr: 1.0000e-02 eta: 1 day, 19:36:53 time: 0.4272 data_time: 0.0159 memory: 17087 grad_norm: 4.9870 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5048 loss: 1.5048 2022/08/03 23:33:46 - mmengine - INFO - Epoch(train) [63][1040/1879] lr: 1.0000e-02 eta: 1 day, 19:36:44 time: 0.4263 data_time: 0.0148 memory: 17087 grad_norm: 5.1878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7487 loss: 1.7487 2022/08/03 23:33:55 - mmengine - INFO - Epoch(train) [63][1060/1879] lr: 1.0000e-02 eta: 1 day, 19:36:35 time: 0.4400 data_time: 0.0139 memory: 17087 grad_norm: 4.9796 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.8438 loss: 1.8438 2022/08/03 23:34:04 - mmengine - INFO - Epoch(train) [63][1080/1879] lr: 1.0000e-02 eta: 1 day, 19:36:27 time: 0.4320 data_time: 0.0209 memory: 17087 grad_norm: 5.2287 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5727 loss: 1.5727 2022/08/03 23:34:12 - mmengine - INFO - Epoch(train) [63][1100/1879] lr: 1.0000e-02 eta: 1 day, 19:36:18 time: 0.4343 data_time: 0.0163 memory: 17087 grad_norm: 5.1497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6702 loss: 1.6702 2022/08/03 23:34:21 - mmengine - INFO - Epoch(train) [63][1120/1879] lr: 1.0000e-02 eta: 1 day, 19:36:11 time: 0.4490 data_time: 0.0168 memory: 17087 grad_norm: 4.9617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2955 loss: 1.2955 2022/08/03 23:34:30 - mmengine - INFO - Epoch(train) [63][1140/1879] lr: 1.0000e-02 eta: 1 day, 19:36:02 time: 0.4237 data_time: 0.0147 memory: 17087 grad_norm: 5.0025 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5674 loss: 1.5674 2022/08/03 23:34:38 - mmengine - INFO - Epoch(train) [63][1160/1879] lr: 1.0000e-02 eta: 1 day, 19:35:53 time: 0.4301 data_time: 0.0154 memory: 17087 grad_norm: 5.0049 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4805 loss: 1.4805 2022/08/03 23:34:47 - mmengine - INFO - Epoch(train) [63][1180/1879] lr: 1.0000e-02 eta: 1 day, 19:35:44 time: 0.4290 data_time: 0.0156 memory: 17087 grad_norm: 5.1203 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5597 loss: 1.5597 2022/08/03 23:34:56 - mmengine - INFO - Epoch(train) [63][1200/1879] lr: 1.0000e-02 eta: 1 day, 19:35:35 time: 0.4248 data_time: 0.0154 memory: 17087 grad_norm: 5.2359 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6215 loss: 1.6215 2022/08/03 23:35:04 - mmengine - INFO - Epoch(train) [63][1220/1879] lr: 1.0000e-02 eta: 1 day, 19:35:26 time: 0.4239 data_time: 0.0142 memory: 17087 grad_norm: 5.1643 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7425 loss: 1.7425 2022/08/03 23:35:13 - mmengine - INFO - Epoch(train) [63][1240/1879] lr: 1.0000e-02 eta: 1 day, 19:35:17 time: 0.4285 data_time: 0.0158 memory: 17087 grad_norm: 5.2241 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.5151 loss: 1.5151 2022/08/03 23:35:21 - mmengine - INFO - Epoch(train) [63][1260/1879] lr: 1.0000e-02 eta: 1 day, 19:35:08 time: 0.4253 data_time: 0.0149 memory: 17087 grad_norm: 5.0448 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5498 loss: 1.5498 2022/08/03 23:35:30 - mmengine - INFO - Epoch(train) [63][1280/1879] lr: 1.0000e-02 eta: 1 day, 19:34:59 time: 0.4278 data_time: 0.0162 memory: 17087 grad_norm: 5.0886 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.3928 loss: 1.3928 2022/08/03 23:35:38 - mmengine - INFO - Epoch(train) [63][1300/1879] lr: 1.0000e-02 eta: 1 day, 19:34:50 time: 0.4260 data_time: 0.0142 memory: 17087 grad_norm: 5.0810 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4497 loss: 1.4497 2022/08/03 23:35:47 - mmengine - INFO - Epoch(train) [63][1320/1879] lr: 1.0000e-02 eta: 1 day, 19:34:42 time: 0.4425 data_time: 0.0153 memory: 17087 grad_norm: 5.1113 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5237 loss: 1.5237 2022/08/03 23:35:56 - mmengine - INFO - Epoch(train) [63][1340/1879] lr: 1.0000e-02 eta: 1 day, 19:34:33 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 5.1351 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6222 loss: 1.6222 2022/08/03 23:36:04 - mmengine - INFO - Epoch(train) [63][1360/1879] lr: 1.0000e-02 eta: 1 day, 19:34:24 time: 0.4288 data_time: 0.0187 memory: 17087 grad_norm: 5.1045 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6359 loss: 1.6359 2022/08/03 23:36:13 - mmengine - INFO - Epoch(train) [63][1380/1879] lr: 1.0000e-02 eta: 1 day, 19:34:15 time: 0.4239 data_time: 0.0144 memory: 17087 grad_norm: 4.9533 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8137 loss: 1.8137 2022/08/03 23:36:21 - mmengine - INFO - Epoch(train) [63][1400/1879] lr: 1.0000e-02 eta: 1 day, 19:34:06 time: 0.4336 data_time: 0.0186 memory: 17087 grad_norm: 5.1107 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4472 loss: 1.4472 2022/08/03 23:36:30 - mmengine - INFO - Epoch(train) [63][1420/1879] lr: 1.0000e-02 eta: 1 day, 19:33:57 time: 0.4246 data_time: 0.0142 memory: 17087 grad_norm: 5.1464 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7668 loss: 1.7668 2022/08/03 23:36:39 - mmengine - INFO - Epoch(train) [63][1440/1879] lr: 1.0000e-02 eta: 1 day, 19:33:49 time: 0.4431 data_time: 0.0164 memory: 17087 grad_norm: 5.1093 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5288 loss: 1.5288 2022/08/03 23:36:47 - mmengine - INFO - Epoch(train) [63][1460/1879] lr: 1.0000e-02 eta: 1 day, 19:33:41 time: 0.4314 data_time: 0.0160 memory: 17087 grad_norm: 5.0760 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6043 loss: 1.6043 2022/08/03 23:36:56 - mmengine - INFO - Epoch(train) [63][1480/1879] lr: 1.0000e-02 eta: 1 day, 19:33:32 time: 0.4244 data_time: 0.0164 memory: 17087 grad_norm: 5.1320 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5581 loss: 1.5581 2022/08/03 23:37:05 - mmengine - INFO - Epoch(train) [63][1500/1879] lr: 1.0000e-02 eta: 1 day, 19:33:23 time: 0.4314 data_time: 0.0153 memory: 17087 grad_norm: 5.0524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4674 loss: 1.4674 2022/08/03 23:37:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 23:37:13 - mmengine - INFO - Epoch(train) [63][1520/1879] lr: 1.0000e-02 eta: 1 day, 19:33:14 time: 0.4275 data_time: 0.0173 memory: 17087 grad_norm: 5.1005 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7815 loss: 1.7815 2022/08/03 23:37:22 - mmengine - INFO - Epoch(train) [63][1540/1879] lr: 1.0000e-02 eta: 1 day, 19:33:05 time: 0.4323 data_time: 0.0166 memory: 17087 grad_norm: 4.7645 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5643 loss: 1.5643 2022/08/03 23:37:31 - mmengine - INFO - Epoch(train) [63][1560/1879] lr: 1.0000e-02 eta: 1 day, 19:32:58 time: 0.4443 data_time: 0.0157 memory: 17087 grad_norm: 5.1594 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6061 loss: 1.6061 2022/08/03 23:37:39 - mmengine - INFO - Epoch(train) [63][1580/1879] lr: 1.0000e-02 eta: 1 day, 19:32:49 time: 0.4252 data_time: 0.0179 memory: 17087 grad_norm: 5.0712 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6864 loss: 1.6864 2022/08/03 23:37:48 - mmengine - INFO - Epoch(train) [63][1600/1879] lr: 1.0000e-02 eta: 1 day, 19:32:40 time: 0.4333 data_time: 0.0172 memory: 17087 grad_norm: 5.2857 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4468 loss: 1.4468 2022/08/03 23:37:56 - mmengine - INFO - Epoch(train) [63][1620/1879] lr: 1.0000e-02 eta: 1 day, 19:32:31 time: 0.4273 data_time: 0.0138 memory: 17087 grad_norm: 5.0103 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4704 loss: 1.4704 2022/08/03 23:38:05 - mmengine - INFO - Epoch(train) [63][1640/1879] lr: 1.0000e-02 eta: 1 day, 19:32:22 time: 0.4257 data_time: 0.0146 memory: 17087 grad_norm: 5.1073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6143 loss: 1.6143 2022/08/03 23:38:14 - mmengine - INFO - Epoch(train) [63][1660/1879] lr: 1.0000e-02 eta: 1 day, 19:32:14 time: 0.4486 data_time: 0.0156 memory: 17087 grad_norm: 5.1589 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6522 loss: 1.6522 2022/08/03 23:38:22 - mmengine - INFO - Epoch(train) [63][1680/1879] lr: 1.0000e-02 eta: 1 day, 19:32:06 time: 0.4292 data_time: 0.0169 memory: 17087 grad_norm: 5.0529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4987 loss: 1.4987 2022/08/03 23:38:31 - mmengine - INFO - Epoch(train) [63][1700/1879] lr: 1.0000e-02 eta: 1 day, 19:31:57 time: 0.4295 data_time: 0.0174 memory: 17087 grad_norm: 5.0894 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7023 loss: 1.7023 2022/08/03 23:38:40 - mmengine - INFO - Epoch(train) [63][1720/1879] lr: 1.0000e-02 eta: 1 day, 19:31:48 time: 0.4286 data_time: 0.0174 memory: 17087 grad_norm: 5.0369 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7348 loss: 1.7348 2022/08/03 23:38:48 - mmengine - INFO - Epoch(train) [63][1740/1879] lr: 1.0000e-02 eta: 1 day, 19:31:39 time: 0.4271 data_time: 0.0153 memory: 17087 grad_norm: 5.0640 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7652 loss: 1.7652 2022/08/03 23:38:57 - mmengine - INFO - Epoch(train) [63][1760/1879] lr: 1.0000e-02 eta: 1 day, 19:31:30 time: 0.4279 data_time: 0.0153 memory: 17087 grad_norm: 4.9432 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6222 loss: 1.6222 2022/08/03 23:39:05 - mmengine - INFO - Epoch(train) [63][1780/1879] lr: 1.0000e-02 eta: 1 day, 19:31:21 time: 0.4272 data_time: 0.0153 memory: 17087 grad_norm: 5.0964 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4295 loss: 1.4295 2022/08/03 23:39:14 - mmengine - INFO - Epoch(train) [63][1800/1879] lr: 1.0000e-02 eta: 1 day, 19:31:12 time: 0.4270 data_time: 0.0170 memory: 17087 grad_norm: 5.0943 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5574 loss: 1.5574 2022/08/03 23:39:22 - mmengine - INFO - Epoch(train) [63][1820/1879] lr: 1.0000e-02 eta: 1 day, 19:31:03 time: 0.4261 data_time: 0.0149 memory: 17087 grad_norm: 5.0559 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6673 loss: 1.6673 2022/08/03 23:39:31 - mmengine - INFO - Epoch(train) [63][1840/1879] lr: 1.0000e-02 eta: 1 day, 19:30:55 time: 0.4310 data_time: 0.0158 memory: 17087 grad_norm: 5.0581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6123 loss: 1.6123 2022/08/03 23:39:40 - mmengine - INFO - Epoch(train) [63][1860/1879] lr: 1.0000e-02 eta: 1 day, 19:30:46 time: 0.4279 data_time: 0.0168 memory: 17087 grad_norm: 4.8756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2939 loss: 1.2939 2022/08/03 23:39:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 23:39:47 - mmengine - INFO - Epoch(train) [63][1879/1879] lr: 1.0000e-02 eta: 1 day, 19:30:46 time: 0.4096 data_time: 0.0133 memory: 17087 grad_norm: 5.0723 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.6650 loss: 1.6650 2022/08/03 23:39:59 - mmengine - INFO - Epoch(train) [64][20/1879] lr: 1.0000e-02 eta: 1 day, 19:30:12 time: 0.5692 data_time: 0.1065 memory: 17087 grad_norm: 5.1332 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7857 loss: 1.7857 2022/08/03 23:40:07 - mmengine - INFO - Epoch(train) [64][40/1879] lr: 1.0000e-02 eta: 1 day, 19:30:04 time: 0.4329 data_time: 0.0194 memory: 17087 grad_norm: 5.0815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4242 loss: 1.4242 2022/08/03 23:40:16 - mmengine - INFO - Epoch(train) [64][60/1879] lr: 1.0000e-02 eta: 1 day, 19:29:54 time: 0.4243 data_time: 0.0130 memory: 17087 grad_norm: 4.9327 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5443 loss: 1.5443 2022/08/03 23:40:25 - mmengine - INFO - Epoch(train) [64][80/1879] lr: 1.0000e-02 eta: 1 day, 19:29:45 time: 0.4259 data_time: 0.0151 memory: 17087 grad_norm: 5.0084 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5829 loss: 1.5829 2022/08/03 23:40:34 - mmengine - INFO - Epoch(train) [64][100/1879] lr: 1.0000e-02 eta: 1 day, 19:29:38 time: 0.4492 data_time: 0.0170 memory: 17087 grad_norm: 5.1157 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6630 loss: 1.6630 2022/08/03 23:40:42 - mmengine - INFO - Epoch(train) [64][120/1879] lr: 1.0000e-02 eta: 1 day, 19:29:29 time: 0.4243 data_time: 0.0145 memory: 17087 grad_norm: 4.9434 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7161 loss: 1.7161 2022/08/03 23:40:51 - mmengine - INFO - Epoch(train) [64][140/1879] lr: 1.0000e-02 eta: 1 day, 19:29:21 time: 0.4412 data_time: 0.0177 memory: 17087 grad_norm: 5.2192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6424 loss: 1.6424 2022/08/03 23:40:59 - mmengine - INFO - Epoch(train) [64][160/1879] lr: 1.0000e-02 eta: 1 day, 19:29:12 time: 0.4309 data_time: 0.0188 memory: 17087 grad_norm: 4.9294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5476 loss: 1.5476 2022/08/03 23:41:08 - mmengine - INFO - Epoch(train) [64][180/1879] lr: 1.0000e-02 eta: 1 day, 19:29:04 time: 0.4452 data_time: 0.0144 memory: 17087 grad_norm: 4.9512 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3355 loss: 1.3355 2022/08/03 23:41:17 - mmengine - INFO - Epoch(train) [64][200/1879] lr: 1.0000e-02 eta: 1 day, 19:28:55 time: 0.4267 data_time: 0.0155 memory: 17087 grad_norm: 5.0225 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5614 loss: 1.5614 2022/08/03 23:41:26 - mmengine - INFO - Epoch(train) [64][220/1879] lr: 1.0000e-02 eta: 1 day, 19:28:47 time: 0.4321 data_time: 0.0191 memory: 17087 grad_norm: 4.9361 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5771 loss: 1.5771 2022/08/03 23:41:34 - mmengine - INFO - Epoch(train) [64][240/1879] lr: 1.0000e-02 eta: 1 day, 19:28:39 time: 0.4415 data_time: 0.0168 memory: 17087 grad_norm: 5.0943 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4834 loss: 1.4834 2022/08/03 23:41:43 - mmengine - INFO - Epoch(train) [64][260/1879] lr: 1.0000e-02 eta: 1 day, 19:28:30 time: 0.4286 data_time: 0.0150 memory: 17087 grad_norm: 4.9993 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5672 loss: 1.5672 2022/08/03 23:41:52 - mmengine - INFO - Epoch(train) [64][280/1879] lr: 1.0000e-02 eta: 1 day, 19:28:21 time: 0.4284 data_time: 0.0158 memory: 17087 grad_norm: 5.0616 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5232 loss: 1.5232 2022/08/03 23:42:00 - mmengine - INFO - Epoch(train) [64][300/1879] lr: 1.0000e-02 eta: 1 day, 19:28:12 time: 0.4263 data_time: 0.0146 memory: 17087 grad_norm: 5.1224 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3957 loss: 1.3957 2022/08/03 23:42:09 - mmengine - INFO - Epoch(train) [64][320/1879] lr: 1.0000e-02 eta: 1 day, 19:28:04 time: 0.4383 data_time: 0.0161 memory: 17087 grad_norm: 5.1732 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6130 loss: 1.6130 2022/08/03 23:42:17 - mmengine - INFO - Epoch(train) [64][340/1879] lr: 1.0000e-02 eta: 1 day, 19:27:55 time: 0.4239 data_time: 0.0152 memory: 17087 grad_norm: 5.1193 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3200 loss: 1.3200 2022/08/03 23:42:26 - mmengine - INFO - Epoch(train) [64][360/1879] lr: 1.0000e-02 eta: 1 day, 19:27:46 time: 0.4311 data_time: 0.0203 memory: 17087 grad_norm: 4.9256 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3410 loss: 1.3410 2022/08/03 23:42:35 - mmengine - INFO - Epoch(train) [64][380/1879] lr: 1.0000e-02 eta: 1 day, 19:27:39 time: 0.4640 data_time: 0.0158 memory: 17087 grad_norm: 5.2359 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6183 loss: 1.6183 2022/08/03 23:42:44 - mmengine - INFO - Epoch(train) [64][400/1879] lr: 1.0000e-02 eta: 1 day, 19:27:30 time: 0.4289 data_time: 0.0167 memory: 17087 grad_norm: 4.9578 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6228 loss: 1.6228 2022/08/03 23:42:53 - mmengine - INFO - Epoch(train) [64][420/1879] lr: 1.0000e-02 eta: 1 day, 19:27:23 time: 0.4472 data_time: 0.0175 memory: 17087 grad_norm: 5.0143 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4266 loss: 1.4266 2022/08/03 23:43:01 - mmengine - INFO - Epoch(train) [64][440/1879] lr: 1.0000e-02 eta: 1 day, 19:27:14 time: 0.4252 data_time: 0.0146 memory: 17087 grad_norm: 4.8763 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6173 loss: 1.6173 2022/08/03 23:43:10 - mmengine - INFO - Epoch(train) [64][460/1879] lr: 1.0000e-02 eta: 1 day, 19:27:06 time: 0.4443 data_time: 0.0144 memory: 17087 grad_norm: 5.1467 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7897 loss: 1.7897 2022/08/03 23:43:19 - mmengine - INFO - Epoch(train) [64][480/1879] lr: 1.0000e-02 eta: 1 day, 19:26:57 time: 0.4277 data_time: 0.0157 memory: 17087 grad_norm: 5.0772 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6081 loss: 1.6081 2022/08/03 23:43:28 - mmengine - INFO - Epoch(train) [64][500/1879] lr: 1.0000e-02 eta: 1 day, 19:26:50 time: 0.4572 data_time: 0.0190 memory: 17087 grad_norm: 5.1259 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5006 loss: 1.5006 2022/08/03 23:43:36 - mmengine - INFO - Epoch(train) [64][520/1879] lr: 1.0000e-02 eta: 1 day, 19:26:41 time: 0.4269 data_time: 0.0160 memory: 17087 grad_norm: 4.9468 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4872 loss: 1.4872 2022/08/03 23:43:45 - mmengine - INFO - Epoch(train) [64][540/1879] lr: 1.0000e-02 eta: 1 day, 19:26:32 time: 0.4302 data_time: 0.0193 memory: 17087 grad_norm: 5.1484 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5217 loss: 1.5217 2022/08/03 23:43:54 - mmengine - INFO - Epoch(train) [64][560/1879] lr: 1.0000e-02 eta: 1 day, 19:26:24 time: 0.4349 data_time: 0.0157 memory: 17087 grad_norm: 5.1228 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6975 loss: 1.6975 2022/08/03 23:44:02 - mmengine - INFO - Epoch(train) [64][580/1879] lr: 1.0000e-02 eta: 1 day, 19:26:15 time: 0.4267 data_time: 0.0142 memory: 17087 grad_norm: 5.1586 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6532 loss: 1.6532 2022/08/03 23:44:11 - mmengine - INFO - Epoch(train) [64][600/1879] lr: 1.0000e-02 eta: 1 day, 19:26:06 time: 0.4298 data_time: 0.0160 memory: 17087 grad_norm: 5.1420 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6096 loss: 1.6096 2022/08/03 23:44:20 - mmengine - INFO - Epoch(train) [64][620/1879] lr: 1.0000e-02 eta: 1 day, 19:25:57 time: 0.4286 data_time: 0.0202 memory: 17087 grad_norm: 5.0636 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5278 loss: 1.5278 2022/08/03 23:44:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 23:44:28 - mmengine - INFO - Epoch(train) [64][640/1879] lr: 1.0000e-02 eta: 1 day, 19:25:49 time: 0.4451 data_time: 0.0153 memory: 17087 grad_norm: 5.2023 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7470 loss: 1.7470 2022/08/03 23:44:37 - mmengine - INFO - Epoch(train) [64][660/1879] lr: 1.0000e-02 eta: 1 day, 19:25:40 time: 0.4242 data_time: 0.0134 memory: 17087 grad_norm: 5.1282 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6301 loss: 1.6301 2022/08/03 23:44:46 - mmengine - INFO - Epoch(train) [64][680/1879] lr: 1.0000e-02 eta: 1 day, 19:25:31 time: 0.4315 data_time: 0.0152 memory: 17087 grad_norm: 5.1013 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6150 loss: 1.6150 2022/08/03 23:44:54 - mmengine - INFO - Epoch(train) [64][700/1879] lr: 1.0000e-02 eta: 1 day, 19:25:23 time: 0.4434 data_time: 0.0155 memory: 17087 grad_norm: 5.0989 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2781 loss: 1.2781 2022/08/03 23:45:03 - mmengine - INFO - Epoch(train) [64][720/1879] lr: 1.0000e-02 eta: 1 day, 19:25:15 time: 0.4312 data_time: 0.0207 memory: 17087 grad_norm: 5.1461 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6042 loss: 1.6042 2022/08/03 23:45:12 - mmengine - INFO - Epoch(train) [64][740/1879] lr: 1.0000e-02 eta: 1 day, 19:25:08 time: 0.4604 data_time: 0.0162 memory: 17087 grad_norm: 4.9477 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5465 loss: 1.5465 2022/08/03 23:45:21 - mmengine - INFO - Epoch(train) [64][760/1879] lr: 1.0000e-02 eta: 1 day, 19:24:59 time: 0.4262 data_time: 0.0172 memory: 17087 grad_norm: 5.0620 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3091 loss: 1.3091 2022/08/03 23:45:30 - mmengine - INFO - Epoch(train) [64][780/1879] lr: 1.0000e-02 eta: 1 day, 19:24:52 time: 0.4614 data_time: 0.0204 memory: 17087 grad_norm: 5.0431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6654 loss: 1.6654 2022/08/03 23:45:39 - mmengine - INFO - Epoch(train) [64][800/1879] lr: 1.0000e-02 eta: 1 day, 19:24:43 time: 0.4286 data_time: 0.0154 memory: 17087 grad_norm: 5.1421 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5991 loss: 1.5991 2022/08/03 23:45:47 - mmengine - INFO - Epoch(train) [64][820/1879] lr: 1.0000e-02 eta: 1 day, 19:24:34 time: 0.4295 data_time: 0.0195 memory: 17087 grad_norm: 5.1696 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4707 loss: 1.4707 2022/08/03 23:45:56 - mmengine - INFO - Epoch(train) [64][840/1879] lr: 1.0000e-02 eta: 1 day, 19:24:26 time: 0.4309 data_time: 0.0184 memory: 17087 grad_norm: 4.9400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5765 loss: 1.5765 2022/08/03 23:46:04 - mmengine - INFO - Epoch(train) [64][860/1879] lr: 1.0000e-02 eta: 1 day, 19:24:17 time: 0.4245 data_time: 0.0120 memory: 17087 grad_norm: 5.0992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6627 loss: 1.6627 2022/08/03 23:46:13 - mmengine - INFO - Epoch(train) [64][880/1879] lr: 1.0000e-02 eta: 1 day, 19:24:09 time: 0.4491 data_time: 0.0175 memory: 17087 grad_norm: 5.1803 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7397 loss: 1.7397 2022/08/03 23:46:22 - mmengine - INFO - Epoch(train) [64][900/1879] lr: 1.0000e-02 eta: 1 day, 19:24:00 time: 0.4299 data_time: 0.0178 memory: 17087 grad_norm: 5.2718 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6211 loss: 1.6211 2022/08/03 23:46:31 - mmengine - INFO - Epoch(train) [64][920/1879] lr: 1.0000e-02 eta: 1 day, 19:23:53 time: 0.4572 data_time: 0.0170 memory: 17087 grad_norm: 5.1069 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6486 loss: 1.6486 2022/08/03 23:46:40 - mmengine - INFO - Epoch(train) [64][940/1879] lr: 1.0000e-02 eta: 1 day, 19:23:44 time: 0.4270 data_time: 0.0158 memory: 17087 grad_norm: 5.1526 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5768 loss: 1.5768 2022/08/03 23:46:48 - mmengine - INFO - Epoch(train) [64][960/1879] lr: 1.0000e-02 eta: 1 day, 19:23:36 time: 0.4308 data_time: 0.0183 memory: 17087 grad_norm: 5.0836 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6669 loss: 1.6669 2022/08/03 23:46:57 - mmengine - INFO - Epoch(train) [64][980/1879] lr: 1.0000e-02 eta: 1 day, 19:23:26 time: 0.4246 data_time: 0.0130 memory: 17087 grad_norm: 5.0559 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5034 loss: 1.5034 2022/08/03 23:47:05 - mmengine - INFO - Epoch(train) [64][1000/1879] lr: 1.0000e-02 eta: 1 day, 19:23:18 time: 0.4276 data_time: 0.0159 memory: 17087 grad_norm: 5.0990 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6809 loss: 1.6809 2022/08/03 23:47:14 - mmengine - INFO - Epoch(train) [64][1020/1879] lr: 1.0000e-02 eta: 1 day, 19:23:09 time: 0.4399 data_time: 0.0164 memory: 17087 grad_norm: 5.0305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6730 loss: 1.6730 2022/08/03 23:47:23 - mmengine - INFO - Epoch(train) [64][1040/1879] lr: 1.0000e-02 eta: 1 day, 19:23:01 time: 0.4326 data_time: 0.0163 memory: 17087 grad_norm: 5.1074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5333 loss: 1.5333 2022/08/03 23:47:32 - mmengine - INFO - Epoch(train) [64][1060/1879] lr: 1.0000e-02 eta: 1 day, 19:22:53 time: 0.4420 data_time: 0.0170 memory: 17087 grad_norm: 5.0875 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5958 loss: 1.5958 2022/08/03 23:47:40 - mmengine - INFO - Epoch(train) [64][1080/1879] lr: 1.0000e-02 eta: 1 day, 19:22:44 time: 0.4281 data_time: 0.0166 memory: 17087 grad_norm: 5.0935 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6981 loss: 1.6981 2022/08/03 23:47:49 - mmengine - INFO - Epoch(train) [64][1100/1879] lr: 1.0000e-02 eta: 1 day, 19:22:35 time: 0.4295 data_time: 0.0148 memory: 17087 grad_norm: 5.0586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5714 loss: 1.5714 2022/08/03 23:47:57 - mmengine - INFO - Epoch(train) [64][1120/1879] lr: 1.0000e-02 eta: 1 day, 19:22:26 time: 0.4256 data_time: 0.0146 memory: 17087 grad_norm: 5.2748 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6396 loss: 1.6396 2022/08/03 23:48:06 - mmengine - INFO - Epoch(train) [64][1140/1879] lr: 1.0000e-02 eta: 1 day, 19:22:17 time: 0.4283 data_time: 0.0129 memory: 17087 grad_norm: 5.0175 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6181 loss: 1.6181 2022/08/03 23:48:15 - mmengine - INFO - Epoch(train) [64][1160/1879] lr: 1.0000e-02 eta: 1 day, 19:22:10 time: 0.4466 data_time: 0.0158 memory: 17087 grad_norm: 5.0683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6057 loss: 1.6057 2022/08/03 23:48:23 - mmengine - INFO - Epoch(train) [64][1180/1879] lr: 1.0000e-02 eta: 1 day, 19:22:01 time: 0.4288 data_time: 0.0192 memory: 17087 grad_norm: 5.1192 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6337 loss: 1.6337 2022/08/03 23:48:32 - mmengine - INFO - Epoch(train) [64][1200/1879] lr: 1.0000e-02 eta: 1 day, 19:21:52 time: 0.4293 data_time: 0.0182 memory: 17087 grad_norm: 5.0783 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5050 loss: 1.5050 2022/08/03 23:48:41 - mmengine - INFO - Epoch(train) [64][1220/1879] lr: 1.0000e-02 eta: 1 day, 19:21:43 time: 0.4261 data_time: 0.0148 memory: 17087 grad_norm: 4.9476 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5273 loss: 1.5273 2022/08/03 23:48:49 - mmengine - INFO - Epoch(train) [64][1240/1879] lr: 1.0000e-02 eta: 1 day, 19:21:34 time: 0.4291 data_time: 0.0173 memory: 17087 grad_norm: 5.0534 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5261 loss: 1.5261 2022/08/03 23:48:58 - mmengine - INFO - Epoch(train) [64][1260/1879] lr: 1.0000e-02 eta: 1 day, 19:21:25 time: 0.4280 data_time: 0.0146 memory: 17087 grad_norm: 5.0594 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.8682 loss: 1.8682 2022/08/03 23:49:06 - mmengine - INFO - Epoch(train) [64][1280/1879] lr: 1.0000e-02 eta: 1 day, 19:21:16 time: 0.4258 data_time: 0.0170 memory: 17087 grad_norm: 5.0443 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5117 loss: 1.5117 2022/08/03 23:49:15 - mmengine - INFO - Epoch(train) [64][1300/1879] lr: 1.0000e-02 eta: 1 day, 19:21:08 time: 0.4420 data_time: 0.0142 memory: 17087 grad_norm: 5.1382 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7446 loss: 1.7446 2022/08/03 23:49:24 - mmengine - INFO - Epoch(train) [64][1320/1879] lr: 1.0000e-02 eta: 1 day, 19:20:59 time: 0.4312 data_time: 0.0165 memory: 17087 grad_norm: 4.9999 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5273 loss: 1.5273 2022/08/03 23:49:32 - mmengine - INFO - Epoch(train) [64][1340/1879] lr: 1.0000e-02 eta: 1 day, 19:20:51 time: 0.4353 data_time: 0.0183 memory: 17087 grad_norm: 5.1866 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5413 loss: 1.5413 2022/08/03 23:49:41 - mmengine - INFO - Epoch(train) [64][1360/1879] lr: 1.0000e-02 eta: 1 day, 19:20:43 time: 0.4361 data_time: 0.0168 memory: 17087 grad_norm: 4.9611 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5667 loss: 1.5667 2022/08/03 23:49:50 - mmengine - INFO - Epoch(train) [64][1380/1879] lr: 1.0000e-02 eta: 1 day, 19:20:34 time: 0.4379 data_time: 0.0148 memory: 17087 grad_norm: 5.1596 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7131 loss: 1.7131 2022/08/03 23:49:59 - mmengine - INFO - Epoch(train) [64][1400/1879] lr: 1.0000e-02 eta: 1 day, 19:20:26 time: 0.4285 data_time: 0.0161 memory: 17087 grad_norm: 5.1823 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5900 loss: 1.5900 2022/08/03 23:50:07 - mmengine - INFO - Epoch(train) [64][1420/1879] lr: 1.0000e-02 eta: 1 day, 19:20:16 time: 0.4250 data_time: 0.0140 memory: 17087 grad_norm: 5.0299 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5799 loss: 1.5799 2022/08/03 23:50:16 - mmengine - INFO - Epoch(train) [64][1440/1879] lr: 1.0000e-02 eta: 1 day, 19:20:08 time: 0.4285 data_time: 0.0172 memory: 17087 grad_norm: 5.1358 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5337 loss: 1.5337 2022/08/03 23:50:24 - mmengine - INFO - Epoch(train) [64][1460/1879] lr: 1.0000e-02 eta: 1 day, 19:19:59 time: 0.4281 data_time: 0.0134 memory: 17087 grad_norm: 5.1132 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5307 loss: 1.5307 2022/08/03 23:50:33 - mmengine - INFO - Epoch(train) [64][1480/1879] lr: 1.0000e-02 eta: 1 day, 19:19:51 time: 0.4437 data_time: 0.0165 memory: 17087 grad_norm: 5.2334 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4996 loss: 1.4996 2022/08/03 23:50:42 - mmengine - INFO - Epoch(train) [64][1500/1879] lr: 1.0000e-02 eta: 1 day, 19:19:42 time: 0.4257 data_time: 0.0132 memory: 17087 grad_norm: 5.1595 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6176 loss: 1.6176 2022/08/03 23:50:50 - mmengine - INFO - Epoch(train) [64][1520/1879] lr: 1.0000e-02 eta: 1 day, 19:19:33 time: 0.4270 data_time: 0.0178 memory: 17087 grad_norm: 4.9469 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7642 loss: 1.7642 2022/08/03 23:50:59 - mmengine - INFO - Epoch(train) [64][1540/1879] lr: 1.0000e-02 eta: 1 day, 19:19:24 time: 0.4261 data_time: 0.0132 memory: 17087 grad_norm: 5.0537 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4488 loss: 1.4488 2022/08/03 23:51:07 - mmengine - INFO - Epoch(train) [64][1560/1879] lr: 1.0000e-02 eta: 1 day, 19:19:15 time: 0.4254 data_time: 0.0156 memory: 17087 grad_norm: 5.0810 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5948 loss: 1.5948 2022/08/03 23:51:16 - mmengine - INFO - Epoch(train) [64][1580/1879] lr: 1.0000e-02 eta: 1 day, 19:19:06 time: 0.4298 data_time: 0.0138 memory: 17087 grad_norm: 5.1850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6218 loss: 1.6218 2022/08/03 23:51:24 - mmengine - INFO - Epoch(train) [64][1600/1879] lr: 1.0000e-02 eta: 1 day, 19:18:57 time: 0.4283 data_time: 0.0154 memory: 17087 grad_norm: 4.9942 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3555 loss: 1.3555 2022/08/03 23:51:33 - mmengine - INFO - Epoch(train) [64][1620/1879] lr: 1.0000e-02 eta: 1 day, 19:18:50 time: 0.4463 data_time: 0.0156 memory: 17087 grad_norm: 5.0784 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6125 loss: 1.6125 2022/08/03 23:51:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 23:51:42 - mmengine - INFO - Epoch(train) [64][1640/1879] lr: 1.0000e-02 eta: 1 day, 19:18:40 time: 0.4246 data_time: 0.0159 memory: 17087 grad_norm: 5.2111 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5573 loss: 1.5573 2022/08/03 23:51:51 - mmengine - INFO - Epoch(train) [64][1660/1879] lr: 1.0000e-02 eta: 1 day, 19:18:32 time: 0.4427 data_time: 0.0208 memory: 17087 grad_norm: 5.1618 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5836 loss: 1.5836 2022/08/03 23:51:59 - mmengine - INFO - Epoch(train) [64][1680/1879] lr: 1.0000e-02 eta: 1 day, 19:18:23 time: 0.4253 data_time: 0.0146 memory: 17087 grad_norm: 5.1396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3994 loss: 1.3994 2022/08/03 23:52:08 - mmengine - INFO - Epoch(train) [64][1700/1879] lr: 1.0000e-02 eta: 1 day, 19:18:15 time: 0.4294 data_time: 0.0205 memory: 17087 grad_norm: 5.1932 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6208 loss: 1.6208 2022/08/03 23:52:17 - mmengine - INFO - Epoch(train) [64][1720/1879] lr: 1.0000e-02 eta: 1 day, 19:18:07 time: 0.4422 data_time: 0.0175 memory: 17087 grad_norm: 5.0516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3378 loss: 1.3378 2022/08/03 23:52:25 - mmengine - INFO - Epoch(train) [64][1740/1879] lr: 1.0000e-02 eta: 1 day, 19:17:58 time: 0.4247 data_time: 0.0127 memory: 17087 grad_norm: 5.1004 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4446 loss: 1.4446 2022/08/03 23:52:34 - mmengine - INFO - Epoch(train) [64][1760/1879] lr: 1.0000e-02 eta: 1 day, 19:17:49 time: 0.4290 data_time: 0.0171 memory: 17087 grad_norm: 5.0546 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6074 loss: 1.6074 2022/08/03 23:52:42 - mmengine - INFO - Epoch(train) [64][1780/1879] lr: 1.0000e-02 eta: 1 day, 19:17:40 time: 0.4251 data_time: 0.0146 memory: 17087 grad_norm: 5.0523 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4307 loss: 1.4307 2022/08/03 23:52:51 - mmengine - INFO - Epoch(train) [64][1800/1879] lr: 1.0000e-02 eta: 1 day, 19:17:31 time: 0.4301 data_time: 0.0167 memory: 17087 grad_norm: 4.9958 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3273 loss: 1.3273 2022/08/03 23:52:59 - mmengine - INFO - Epoch(train) [64][1820/1879] lr: 1.0000e-02 eta: 1 day, 19:17:22 time: 0.4283 data_time: 0.0135 memory: 17087 grad_norm: 5.1399 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4535 loss: 1.4535 2022/08/03 23:53:08 - mmengine - INFO - Epoch(train) [64][1840/1879] lr: 1.0000e-02 eta: 1 day, 19:17:13 time: 0.4259 data_time: 0.0152 memory: 17087 grad_norm: 5.1898 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6072 loss: 1.6072 2022/08/03 23:53:17 - mmengine - INFO - Epoch(train) [64][1860/1879] lr: 1.0000e-02 eta: 1 day, 19:17:05 time: 0.4361 data_time: 0.0158 memory: 17087 grad_norm: 4.9703 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3658 loss: 1.3658 2022/08/03 23:53:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 23:53:25 - mmengine - INFO - Epoch(train) [64][1879/1879] lr: 1.0000e-02 eta: 1 day, 19:17:05 time: 0.4087 data_time: 0.0140 memory: 17087 grad_norm: 5.0961 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.6444 loss: 1.6444 2022/08/03 23:53:25 - mmengine - INFO - Saving checkpoint at 64 epochs 2022/08/03 23:53:38 - mmengine - INFO - Epoch(train) [65][20/1879] lr: 1.0000e-02 eta: 1 day, 19:16:28 time: 0.5094 data_time: 0.0965 memory: 17087 grad_norm: 5.0288 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5434 loss: 1.5434 2022/08/03 23:53:47 - mmengine - INFO - Epoch(train) [65][40/1879] lr: 1.0000e-02 eta: 1 day, 19:16:19 time: 0.4287 data_time: 0.0165 memory: 17087 grad_norm: 4.7779 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6296 loss: 1.6296 2022/08/03 23:53:55 - mmengine - INFO - Epoch(train) [65][60/1879] lr: 1.0000e-02 eta: 1 day, 19:16:10 time: 0.4304 data_time: 0.0135 memory: 17087 grad_norm: 5.0958 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4694 loss: 1.4694 2022/08/03 23:54:04 - mmengine - INFO - Epoch(train) [65][80/1879] lr: 1.0000e-02 eta: 1 day, 19:16:01 time: 0.4270 data_time: 0.0161 memory: 17087 grad_norm: 5.0109 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5260 loss: 1.5260 2022/08/03 23:54:12 - mmengine - INFO - Epoch(train) [65][100/1879] lr: 1.0000e-02 eta: 1 day, 19:15:53 time: 0.4318 data_time: 0.0144 memory: 17087 grad_norm: 5.1664 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6214 loss: 1.6214 2022/08/03 23:54:21 - mmengine - INFO - Epoch(train) [65][120/1879] lr: 1.0000e-02 eta: 1 day, 19:15:45 time: 0.4496 data_time: 0.0186 memory: 17087 grad_norm: 5.0157 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4150 loss: 1.4150 2022/08/03 23:54:30 - mmengine - INFO - Epoch(train) [65][140/1879] lr: 1.0000e-02 eta: 1 day, 19:15:37 time: 0.4320 data_time: 0.0152 memory: 17087 grad_norm: 5.0374 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6038 loss: 1.6038 2022/08/03 23:54:39 - mmengine - INFO - Epoch(train) [65][160/1879] lr: 1.0000e-02 eta: 1 day, 19:15:28 time: 0.4299 data_time: 0.0194 memory: 17087 grad_norm: 5.1446 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5608 loss: 1.5608 2022/08/03 23:54:47 - mmengine - INFO - Epoch(train) [65][180/1879] lr: 1.0000e-02 eta: 1 day, 19:15:19 time: 0.4263 data_time: 0.0149 memory: 17087 grad_norm: 5.1792 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6014 loss: 1.6014 2022/08/03 23:54:56 - mmengine - INFO - Epoch(train) [65][200/1879] lr: 1.0000e-02 eta: 1 day, 19:15:11 time: 0.4457 data_time: 0.0154 memory: 17087 grad_norm: 5.0949 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7004 loss: 1.7004 2022/08/03 23:55:05 - mmengine - INFO - Epoch(train) [65][220/1879] lr: 1.0000e-02 eta: 1 day, 19:15:03 time: 0.4387 data_time: 0.0162 memory: 17087 grad_norm: 5.2039 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5515 loss: 1.5515 2022/08/03 23:55:14 - mmengine - INFO - Epoch(train) [65][240/1879] lr: 1.0000e-02 eta: 1 day, 19:14:54 time: 0.4290 data_time: 0.0172 memory: 17087 grad_norm: 5.2501 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5451 loss: 1.5451 2022/08/03 23:55:22 - mmengine - INFO - Epoch(train) [65][260/1879] lr: 1.0000e-02 eta: 1 day, 19:14:45 time: 0.4296 data_time: 0.0135 memory: 17087 grad_norm: 5.0195 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3762 loss: 1.3762 2022/08/03 23:55:31 - mmengine - INFO - Epoch(train) [65][280/1879] lr: 1.0000e-02 eta: 1 day, 19:14:36 time: 0.4287 data_time: 0.0157 memory: 17087 grad_norm: 4.9644 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5925 loss: 1.5925 2022/08/03 23:55:39 - mmengine - INFO - Epoch(train) [65][300/1879] lr: 1.0000e-02 eta: 1 day, 19:14:28 time: 0.4319 data_time: 0.0150 memory: 17087 grad_norm: 4.9059 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4454 loss: 1.4454 2022/08/03 23:55:48 - mmengine - INFO - Epoch(train) [65][320/1879] lr: 1.0000e-02 eta: 1 day, 19:14:20 time: 0.4493 data_time: 0.0170 memory: 17087 grad_norm: 5.0513 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6478 loss: 1.6478 2022/08/03 23:55:57 - mmengine - INFO - Epoch(train) [65][340/1879] lr: 1.0000e-02 eta: 1 day, 19:14:11 time: 0.4248 data_time: 0.0144 memory: 17087 grad_norm: 4.9773 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3730 loss: 1.3730 2022/08/03 23:56:06 - mmengine - INFO - Epoch(train) [65][360/1879] lr: 1.0000e-02 eta: 1 day, 19:14:03 time: 0.4401 data_time: 0.0173 memory: 17087 grad_norm: 5.1924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5126 loss: 1.5126 2022/08/03 23:56:14 - mmengine - INFO - Epoch(train) [65][380/1879] lr: 1.0000e-02 eta: 1 day, 19:13:54 time: 0.4250 data_time: 0.0143 memory: 17087 grad_norm: 5.0859 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6496 loss: 1.6496 2022/08/03 23:56:23 - mmengine - INFO - Epoch(train) [65][400/1879] lr: 1.0000e-02 eta: 1 day, 19:13:45 time: 0.4272 data_time: 0.0183 memory: 17087 grad_norm: 5.0101 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5450 loss: 1.5450 2022/08/03 23:56:32 - mmengine - INFO - Epoch(train) [65][420/1879] lr: 1.0000e-02 eta: 1 day, 19:13:37 time: 0.4500 data_time: 0.0157 memory: 17087 grad_norm: 5.1568 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7493 loss: 1.7493 2022/08/03 23:56:40 - mmengine - INFO - Epoch(train) [65][440/1879] lr: 1.0000e-02 eta: 1 day, 19:13:29 time: 0.4279 data_time: 0.0163 memory: 17087 grad_norm: 4.9974 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7525 loss: 1.7525 2022/08/03 23:56:49 - mmengine - INFO - Epoch(train) [65][460/1879] lr: 1.0000e-02 eta: 1 day, 19:13:21 time: 0.4562 data_time: 0.0198 memory: 17087 grad_norm: 5.1093 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5779 loss: 1.5779 2022/08/03 23:56:58 - mmengine - INFO - Epoch(train) [65][480/1879] lr: 1.0000e-02 eta: 1 day, 19:13:12 time: 0.4242 data_time: 0.0165 memory: 17087 grad_norm: 5.0037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5506 loss: 1.5506 2022/08/03 23:57:07 - mmengine - INFO - Epoch(train) [65][500/1879] lr: 1.0000e-02 eta: 1 day, 19:13:03 time: 0.4255 data_time: 0.0143 memory: 17087 grad_norm: 5.1468 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5807 loss: 1.5807 2022/08/03 23:57:15 - mmengine - INFO - Epoch(train) [65][520/1879] lr: 1.0000e-02 eta: 1 day, 19:12:56 time: 0.4514 data_time: 0.0209 memory: 17087 grad_norm: 5.1367 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6415 loss: 1.6415 2022/08/03 23:57:24 - mmengine - INFO - Epoch(train) [65][540/1879] lr: 1.0000e-02 eta: 1 day, 19:12:47 time: 0.4264 data_time: 0.0130 memory: 17087 grad_norm: 5.1206 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6336 loss: 1.6336 2022/08/03 23:57:33 - mmengine - INFO - Epoch(train) [65][560/1879] lr: 1.0000e-02 eta: 1 day, 19:12:38 time: 0.4356 data_time: 0.0235 memory: 17087 grad_norm: 5.0289 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4466 loss: 1.4466 2022/08/03 23:57:41 - mmengine - INFO - Epoch(train) [65][580/1879] lr: 1.0000e-02 eta: 1 day, 19:12:29 time: 0.4264 data_time: 0.0145 memory: 17087 grad_norm: 5.1387 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5105 loss: 1.5105 2022/08/03 23:57:50 - mmengine - INFO - Epoch(train) [65][600/1879] lr: 1.0000e-02 eta: 1 day, 19:12:21 time: 0.4316 data_time: 0.0166 memory: 17087 grad_norm: 4.9142 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3681 loss: 1.3681 2022/08/03 23:57:58 - mmengine - INFO - Epoch(train) [65][620/1879] lr: 1.0000e-02 eta: 1 day, 19:12:12 time: 0.4285 data_time: 0.0178 memory: 17087 grad_norm: 5.0553 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5636 loss: 1.5636 2022/08/03 23:58:07 - mmengine - INFO - Epoch(train) [65][640/1879] lr: 1.0000e-02 eta: 1 day, 19:12:03 time: 0.4250 data_time: 0.0149 memory: 17087 grad_norm: 5.2640 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5287 loss: 1.5287 2022/08/03 23:58:16 - mmengine - INFO - Epoch(train) [65][660/1879] lr: 1.0000e-02 eta: 1 day, 19:11:54 time: 0.4323 data_time: 0.0158 memory: 17087 grad_norm: 5.2373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6342 loss: 1.6342 2022/08/03 23:58:24 - mmengine - INFO - Epoch(train) [65][680/1879] lr: 1.0000e-02 eta: 1 day, 19:11:46 time: 0.4302 data_time: 0.0156 memory: 17087 grad_norm: 5.1604 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5211 loss: 1.5211 2022/08/03 23:58:33 - mmengine - INFO - Epoch(train) [65][700/1879] lr: 1.0000e-02 eta: 1 day, 19:11:37 time: 0.4350 data_time: 0.0167 memory: 17087 grad_norm: 5.0770 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8183 loss: 1.8183 2022/08/03 23:58:42 - mmengine - INFO - Epoch(train) [65][720/1879] lr: 1.0000e-02 eta: 1 day, 19:11:28 time: 0.4309 data_time: 0.0166 memory: 17087 grad_norm: 5.0760 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5184 loss: 1.5184 2022/08/03 23:58:51 - mmengine - INFO - Epoch(train) [65][740/1879] lr: 1.0000e-02 eta: 1 day, 19:11:21 time: 0.4462 data_time: 0.0159 memory: 17087 grad_norm: 5.1396 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4706 loss: 1.4706 2022/08/03 23:58:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/03 23:58:59 - mmengine - INFO - Epoch(train) [65][760/1879] lr: 1.0000e-02 eta: 1 day, 19:11:12 time: 0.4295 data_time: 0.0181 memory: 17087 grad_norm: 5.2345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6456 loss: 1.6456 2022/08/03 23:59:08 - mmengine - INFO - Epoch(train) [65][780/1879] lr: 1.0000e-02 eta: 1 day, 19:11:03 time: 0.4259 data_time: 0.0144 memory: 17087 grad_norm: 5.2364 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6187 loss: 1.6187 2022/08/03 23:59:16 - mmengine - INFO - Epoch(train) [65][800/1879] lr: 1.0000e-02 eta: 1 day, 19:10:54 time: 0.4268 data_time: 0.0190 memory: 17087 grad_norm: 5.1811 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3635 loss: 1.3635 2022/08/03 23:59:25 - mmengine - INFO - Epoch(train) [65][820/1879] lr: 1.0000e-02 eta: 1 day, 19:10:45 time: 0.4287 data_time: 0.0163 memory: 17087 grad_norm: 5.1909 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6151 loss: 1.6151 2022/08/03 23:59:33 - mmengine - INFO - Epoch(train) [65][840/1879] lr: 1.0000e-02 eta: 1 day, 19:10:36 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 5.1160 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5690 loss: 1.5690 2022/08/03 23:59:42 - mmengine - INFO - Epoch(train) [65][860/1879] lr: 1.0000e-02 eta: 1 day, 19:10:27 time: 0.4252 data_time: 0.0150 memory: 17087 grad_norm: 5.2656 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5616 loss: 1.5616 2022/08/03 23:59:50 - mmengine - INFO - Epoch(train) [65][880/1879] lr: 1.0000e-02 eta: 1 day, 19:10:18 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 5.1221 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4772 loss: 1.4772 2022/08/03 23:59:59 - mmengine - INFO - Epoch(train) [65][900/1879] lr: 1.0000e-02 eta: 1 day, 19:10:09 time: 0.4239 data_time: 0.0141 memory: 17087 grad_norm: 5.1713 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5860 loss: 1.5860 2022/08/04 00:00:10 - mmengine - INFO - Epoch(train) [65][920/1879] lr: 1.0000e-02 eta: 1 day, 19:10:08 time: 0.5503 data_time: 0.0209 memory: 17087 grad_norm: 4.9452 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3963 loss: 1.3963 2022/08/04 00:00:18 - mmengine - INFO - Epoch(train) [65][940/1879] lr: 1.0000e-02 eta: 1 day, 19:09:59 time: 0.4278 data_time: 0.0165 memory: 17087 grad_norm: 5.1802 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4683 loss: 1.4683 2022/08/04 00:00:27 - mmengine - INFO - Epoch(train) [65][960/1879] lr: 1.0000e-02 eta: 1 day, 19:09:50 time: 0.4257 data_time: 0.0159 memory: 17087 grad_norm: 5.1472 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5511 loss: 1.5511 2022/08/04 00:00:36 - mmengine - INFO - Epoch(train) [65][980/1879] lr: 1.0000e-02 eta: 1 day, 19:09:41 time: 0.4273 data_time: 0.0162 memory: 17087 grad_norm: 5.1480 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5961 loss: 1.5961 2022/08/04 00:00:44 - mmengine - INFO - Epoch(train) [65][1000/1879] lr: 1.0000e-02 eta: 1 day, 19:09:32 time: 0.4298 data_time: 0.0171 memory: 17087 grad_norm: 5.2298 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6203 loss: 1.6203 2022/08/04 00:00:53 - mmengine - INFO - Epoch(train) [65][1020/1879] lr: 1.0000e-02 eta: 1 day, 19:09:24 time: 0.4397 data_time: 0.0153 memory: 17087 grad_norm: 5.1585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5909 loss: 1.5909 2022/08/04 00:01:02 - mmengine - INFO - Epoch(train) [65][1040/1879] lr: 1.0000e-02 eta: 1 day, 19:09:15 time: 0.4343 data_time: 0.0151 memory: 17087 grad_norm: 5.1568 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7635 loss: 1.7635 2022/08/04 00:01:10 - mmengine - INFO - Epoch(train) [65][1060/1879] lr: 1.0000e-02 eta: 1 day, 19:09:06 time: 0.4253 data_time: 0.0153 memory: 17087 grad_norm: 5.2232 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5023 loss: 1.5023 2022/08/04 00:01:19 - mmengine - INFO - Epoch(train) [65][1080/1879] lr: 1.0000e-02 eta: 1 day, 19:08:57 time: 0.4270 data_time: 0.0152 memory: 17087 grad_norm: 5.0850 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5289 loss: 1.5289 2022/08/04 00:01:28 - mmengine - INFO - Epoch(train) [65][1100/1879] lr: 1.0000e-02 eta: 1 day, 19:08:49 time: 0.4439 data_time: 0.0173 memory: 17087 grad_norm: 5.1793 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6586 loss: 1.6586 2022/08/04 00:01:36 - mmengine - INFO - Epoch(train) [65][1120/1879] lr: 1.0000e-02 eta: 1 day, 19:08:40 time: 0.4243 data_time: 0.0141 memory: 17087 grad_norm: 4.9455 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6997 loss: 1.6997 2022/08/04 00:01:45 - mmengine - INFO - Epoch(train) [65][1140/1879] lr: 1.0000e-02 eta: 1 day, 19:08:32 time: 0.4293 data_time: 0.0157 memory: 17087 grad_norm: 5.1863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5297 loss: 1.5297 2022/08/04 00:01:53 - mmengine - INFO - Epoch(train) [65][1160/1879] lr: 1.0000e-02 eta: 1 day, 19:08:22 time: 0.4246 data_time: 0.0126 memory: 17087 grad_norm: 5.2248 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3377 loss: 1.3377 2022/08/04 00:02:02 - mmengine - INFO - Epoch(train) [65][1180/1879] lr: 1.0000e-02 eta: 1 day, 19:08:14 time: 0.4369 data_time: 0.0154 memory: 17087 grad_norm: 5.1312 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5489 loss: 1.5489 2022/08/04 00:02:10 - mmengine - INFO - Epoch(train) [65][1200/1879] lr: 1.0000e-02 eta: 1 day, 19:08:05 time: 0.4250 data_time: 0.0147 memory: 17087 grad_norm: 5.1012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6780 loss: 1.6780 2022/08/04 00:02:19 - mmengine - INFO - Epoch(train) [65][1220/1879] lr: 1.0000e-02 eta: 1 day, 19:07:57 time: 0.4329 data_time: 0.0157 memory: 17087 grad_norm: 5.0724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5516 loss: 1.5516 2022/08/04 00:02:28 - mmengine - INFO - Epoch(train) [65][1240/1879] lr: 1.0000e-02 eta: 1 day, 19:07:48 time: 0.4332 data_time: 0.0140 memory: 17087 grad_norm: 5.1591 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6810 loss: 1.6810 2022/08/04 00:02:36 - mmengine - INFO - Epoch(train) [65][1260/1879] lr: 1.0000e-02 eta: 1 day, 19:07:40 time: 0.4351 data_time: 0.0160 memory: 17087 grad_norm: 5.0694 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5397 loss: 1.5397 2022/08/04 00:02:45 - mmengine - INFO - Epoch(train) [65][1280/1879] lr: 1.0000e-02 eta: 1 day, 19:07:31 time: 0.4263 data_time: 0.0142 memory: 17087 grad_norm: 5.0792 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4696 loss: 1.4696 2022/08/04 00:02:54 - mmengine - INFO - Epoch(train) [65][1300/1879] lr: 1.0000e-02 eta: 1 day, 19:07:23 time: 0.4419 data_time: 0.0160 memory: 17087 grad_norm: 5.3521 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.8119 loss: 1.8119 2022/08/04 00:03:02 - mmengine - INFO - Epoch(train) [65][1320/1879] lr: 1.0000e-02 eta: 1 day, 19:07:13 time: 0.4250 data_time: 0.0141 memory: 17087 grad_norm: 5.0034 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6141 loss: 1.6141 2022/08/04 00:03:11 - mmengine - INFO - Epoch(train) [65][1340/1879] lr: 1.0000e-02 eta: 1 day, 19:07:05 time: 0.4317 data_time: 0.0176 memory: 17087 grad_norm: 5.0175 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5607 loss: 1.5607 2022/08/04 00:03:20 - mmengine - INFO - Epoch(train) [65][1360/1879] lr: 1.0000e-02 eta: 1 day, 19:06:56 time: 0.4243 data_time: 0.0133 memory: 17087 grad_norm: 5.0975 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6742 loss: 1.6742 2022/08/04 00:03:28 - mmengine - INFO - Epoch(train) [65][1380/1879] lr: 1.0000e-02 eta: 1 day, 19:06:47 time: 0.4263 data_time: 0.0150 memory: 17087 grad_norm: 5.1702 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6176 loss: 1.6176 2022/08/04 00:03:37 - mmengine - INFO - Epoch(train) [65][1400/1879] lr: 1.0000e-02 eta: 1 day, 19:06:39 time: 0.4393 data_time: 0.0140 memory: 17087 grad_norm: 4.9505 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5492 loss: 1.5492 2022/08/04 00:03:45 - mmengine - INFO - Epoch(train) [65][1420/1879] lr: 1.0000e-02 eta: 1 day, 19:06:30 time: 0.4279 data_time: 0.0161 memory: 17087 grad_norm: 5.1433 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.3782 loss: 1.3782 2022/08/04 00:03:54 - mmengine - INFO - Epoch(train) [65][1440/1879] lr: 1.0000e-02 eta: 1 day, 19:06:21 time: 0.4284 data_time: 0.0162 memory: 17087 grad_norm: 5.2460 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6391 loss: 1.6391 2022/08/04 00:04:03 - mmengine - INFO - Epoch(train) [65][1460/1879] lr: 1.0000e-02 eta: 1 day, 19:06:12 time: 0.4272 data_time: 0.0155 memory: 17087 grad_norm: 5.0755 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6622 loss: 1.6622 2022/08/04 00:04:11 - mmengine - INFO - Epoch(train) [65][1480/1879] lr: 1.0000e-02 eta: 1 day, 19:06:03 time: 0.4275 data_time: 0.0151 memory: 17087 grad_norm: 5.0280 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5998 loss: 1.5998 2022/08/04 00:04:20 - mmengine - INFO - Epoch(train) [65][1500/1879] lr: 1.0000e-02 eta: 1 day, 19:05:54 time: 0.4290 data_time: 0.0174 memory: 17087 grad_norm: 5.2472 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4994 loss: 1.4994 2022/08/04 00:04:28 - mmengine - INFO - Epoch(train) [65][1520/1879] lr: 1.0000e-02 eta: 1 day, 19:05:45 time: 0.4250 data_time: 0.0139 memory: 17087 grad_norm: 5.0326 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5063 loss: 1.5063 2022/08/04 00:04:37 - mmengine - INFO - Epoch(train) [65][1540/1879] lr: 1.0000e-02 eta: 1 day, 19:05:37 time: 0.4320 data_time: 0.0179 memory: 17087 grad_norm: 5.1999 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3881 loss: 1.3881 2022/08/04 00:04:45 - mmengine - INFO - Epoch(train) [65][1560/1879] lr: 1.0000e-02 eta: 1 day, 19:05:28 time: 0.4249 data_time: 0.0150 memory: 17087 grad_norm: 5.0205 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.5311 loss: 1.5311 2022/08/04 00:04:54 - mmengine - INFO - Epoch(train) [65][1580/1879] lr: 1.0000e-02 eta: 1 day, 19:05:20 time: 0.4463 data_time: 0.0171 memory: 17087 grad_norm: 4.9983 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2574 loss: 1.2574 2022/08/04 00:05:03 - mmengine - INFO - Epoch(train) [65][1600/1879] lr: 1.0000e-02 eta: 1 day, 19:05:11 time: 0.4253 data_time: 0.0153 memory: 17087 grad_norm: 4.9847 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5650 loss: 1.5650 2022/08/04 00:05:12 - mmengine - INFO - Epoch(train) [65][1620/1879] lr: 1.0000e-02 eta: 1 day, 19:05:03 time: 0.4394 data_time: 0.0160 memory: 17087 grad_norm: 5.0617 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6557 loss: 1.6557 2022/08/04 00:05:20 - mmengine - INFO - Epoch(train) [65][1640/1879] lr: 1.0000e-02 eta: 1 day, 19:04:54 time: 0.4347 data_time: 0.0147 memory: 17087 grad_norm: 5.1071 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2383 loss: 1.2383 2022/08/04 00:05:29 - mmengine - INFO - Epoch(train) [65][1660/1879] lr: 1.0000e-02 eta: 1 day, 19:04:45 time: 0.4258 data_time: 0.0179 memory: 17087 grad_norm: 5.2169 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8197 loss: 1.8197 2022/08/04 00:05:37 - mmengine - INFO - Epoch(train) [65][1680/1879] lr: 1.0000e-02 eta: 1 day, 19:04:36 time: 0.4329 data_time: 0.0135 memory: 17087 grad_norm: 5.1520 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6761 loss: 1.6761 2022/08/04 00:05:46 - mmengine - INFO - Epoch(train) [65][1700/1879] lr: 1.0000e-02 eta: 1 day, 19:04:27 time: 0.4245 data_time: 0.0145 memory: 17087 grad_norm: 5.1687 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4588 loss: 1.4588 2022/08/04 00:05:55 - mmengine - INFO - Epoch(train) [65][1720/1879] lr: 1.0000e-02 eta: 1 day, 19:04:19 time: 0.4272 data_time: 0.0174 memory: 17087 grad_norm: 5.1363 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7380 loss: 1.7380 2022/08/04 00:06:03 - mmengine - INFO - Epoch(train) [65][1740/1879] lr: 1.0000e-02 eta: 1 day, 19:04:10 time: 0.4273 data_time: 0.0162 memory: 17087 grad_norm: 4.9642 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4741 loss: 1.4741 2022/08/04 00:06:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 00:06:12 - mmengine - INFO - Epoch(train) [65][1760/1879] lr: 1.0000e-02 eta: 1 day, 19:04:01 time: 0.4287 data_time: 0.0138 memory: 17087 grad_norm: 5.1802 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7189 loss: 1.7189 2022/08/04 00:06:20 - mmengine - INFO - Epoch(train) [65][1780/1879] lr: 1.0000e-02 eta: 1 day, 19:03:52 time: 0.4309 data_time: 0.0161 memory: 17087 grad_norm: 5.1817 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5483 loss: 1.5483 2022/08/04 00:06:29 - mmengine - INFO - Epoch(train) [65][1800/1879] lr: 1.0000e-02 eta: 1 day, 19:03:43 time: 0.4273 data_time: 0.0143 memory: 17087 grad_norm: 5.0805 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5972 loss: 1.5972 2022/08/04 00:06:38 - mmengine - INFO - Epoch(train) [65][1820/1879] lr: 1.0000e-02 eta: 1 day, 19:03:36 time: 0.4549 data_time: 0.0205 memory: 17087 grad_norm: 4.9971 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5659 loss: 1.5659 2022/08/04 00:06:46 - mmengine - INFO - Epoch(train) [65][1840/1879] lr: 1.0000e-02 eta: 1 day, 19:03:27 time: 0.4263 data_time: 0.0154 memory: 17087 grad_norm: 5.0936 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.8474 loss: 1.8474 2022/08/04 00:06:56 - mmengine - INFO - Epoch(train) [65][1860/1879] lr: 1.0000e-02 eta: 1 day, 19:03:19 time: 0.4501 data_time: 0.0189 memory: 17087 grad_norm: 5.1113 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4219 loss: 1.4219 2022/08/04 00:07:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 00:07:03 - mmengine - INFO - Epoch(train) [65][1879/1879] lr: 1.0000e-02 eta: 1 day, 19:03:19 time: 0.4095 data_time: 0.0134 memory: 17087 grad_norm: 5.2186 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5233 loss: 1.5233 2022/08/04 00:07:16 - mmengine - INFO - Epoch(val) [65][20/155] eta: 0:01:25 time: 0.6344 data_time: 0.4655 memory: 2821 2022/08/04 00:07:23 - mmengine - INFO - Epoch(val) [65][40/155] eta: 0:00:37 time: 0.3253 data_time: 0.1602 memory: 2821 2022/08/04 00:07:27 - mmengine - INFO - Epoch(val) [65][60/155] eta: 0:00:20 time: 0.2202 data_time: 0.0522 memory: 2821 2022/08/04 00:07:33 - mmengine - INFO - Epoch(val) [65][80/155] eta: 0:00:24 time: 0.3232 data_time: 0.1552 memory: 2821 2022/08/04 00:07:39 - mmengine - INFO - Epoch(val) [65][100/155] eta: 0:00:14 time: 0.2720 data_time: 0.1031 memory: 2821 2022/08/04 00:07:45 - mmengine - INFO - Epoch(val) [65][120/155] eta: 0:00:10 time: 0.3077 data_time: 0.1381 memory: 2821 2022/08/04 00:07:49 - mmengine - INFO - Epoch(val) [65][140/155] eta: 0:00:03 time: 0.2177 data_time: 0.0588 memory: 2821 2022/08/04 00:07:53 - mmengine - INFO - Epoch(val) [65][155/155] acc/top1: 0.6579 acc/top5: 0.8655 acc/mean1: 0.6577 2022/08/04 00:07:54 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_51.pth is removed 2022/08/04 00:07:56 - mmengine - INFO - The best checkpoint with 0.6579 acc/top1 at 66 epoch is saved to best_acc/top1_epoch_66.pth. 2022/08/04 00:08:07 - mmengine - INFO - Epoch(train) [66][20/1879] lr: 1.0000e-02 eta: 1 day, 19:02:45 time: 0.5399 data_time: 0.1265 memory: 17087 grad_norm: 4.9649 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5086 loss: 1.5086 2022/08/04 00:08:16 - mmengine - INFO - Epoch(train) [66][40/1879] lr: 1.0000e-02 eta: 1 day, 19:02:38 time: 0.4565 data_time: 0.0246 memory: 17087 grad_norm: 5.0701 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5900 loss: 1.5900 2022/08/04 00:08:25 - mmengine - INFO - Epoch(train) [66][60/1879] lr: 1.0000e-02 eta: 1 day, 19:02:28 time: 0.4243 data_time: 0.0147 memory: 17087 grad_norm: 5.0383 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3847 loss: 1.3847 2022/08/04 00:08:33 - mmengine - INFO - Epoch(train) [66][80/1879] lr: 1.0000e-02 eta: 1 day, 19:02:20 time: 0.4305 data_time: 0.0206 memory: 17087 grad_norm: 5.0575 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5332 loss: 1.5332 2022/08/04 00:08:42 - mmengine - INFO - Epoch(train) [66][100/1879] lr: 1.0000e-02 eta: 1 day, 19:02:11 time: 0.4227 data_time: 0.0140 memory: 17087 grad_norm: 4.9820 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5668 loss: 1.5668 2022/08/04 00:08:50 - mmengine - INFO - Epoch(train) [66][120/1879] lr: 1.0000e-02 eta: 1 day, 19:02:02 time: 0.4271 data_time: 0.0165 memory: 17087 grad_norm: 5.1855 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5278 loss: 1.5278 2022/08/04 00:08:59 - mmengine - INFO - Epoch(train) [66][140/1879] lr: 1.0000e-02 eta: 1 day, 19:01:53 time: 0.4255 data_time: 0.0141 memory: 17087 grad_norm: 5.2815 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7027 loss: 1.7027 2022/08/04 00:09:07 - mmengine - INFO - Epoch(train) [66][160/1879] lr: 1.0000e-02 eta: 1 day, 19:01:44 time: 0.4270 data_time: 0.0152 memory: 17087 grad_norm: 5.0739 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4595 loss: 1.4595 2022/08/04 00:09:16 - mmengine - INFO - Epoch(train) [66][180/1879] lr: 1.0000e-02 eta: 1 day, 19:01:35 time: 0.4269 data_time: 0.0166 memory: 17087 grad_norm: 5.1304 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5610 loss: 1.5610 2022/08/04 00:09:24 - mmengine - INFO - Epoch(train) [66][200/1879] lr: 1.0000e-02 eta: 1 day, 19:01:26 time: 0.4269 data_time: 0.0154 memory: 17087 grad_norm: 5.2092 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5001 loss: 1.5001 2022/08/04 00:09:33 - mmengine - INFO - Epoch(train) [66][220/1879] lr: 1.0000e-02 eta: 1 day, 19:01:17 time: 0.4273 data_time: 0.0147 memory: 17087 grad_norm: 5.1789 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5526 loss: 1.5526 2022/08/04 00:09:41 - mmengine - INFO - Epoch(train) [66][240/1879] lr: 1.0000e-02 eta: 1 day, 19:01:08 time: 0.4279 data_time: 0.0184 memory: 17087 grad_norm: 5.0417 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5555 loss: 1.5555 2022/08/04 00:09:50 - mmengine - INFO - Epoch(train) [66][260/1879] lr: 1.0000e-02 eta: 1 day, 19:00:59 time: 0.4290 data_time: 0.0135 memory: 17087 grad_norm: 5.0085 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6920 loss: 1.6920 2022/08/04 00:09:59 - mmengine - INFO - Epoch(train) [66][280/1879] lr: 1.0000e-02 eta: 1 day, 19:00:51 time: 0.4318 data_time: 0.0202 memory: 17087 grad_norm: 5.0668 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6442 loss: 1.6442 2022/08/04 00:10:07 - mmengine - INFO - Epoch(train) [66][300/1879] lr: 1.0000e-02 eta: 1 day, 19:00:42 time: 0.4276 data_time: 0.0144 memory: 17087 grad_norm: 5.1338 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5876 loss: 1.5876 2022/08/04 00:10:16 - mmengine - INFO - Epoch(train) [66][320/1879] lr: 1.0000e-02 eta: 1 day, 19:00:33 time: 0.4326 data_time: 0.0149 memory: 17087 grad_norm: 4.9305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5015 loss: 1.5015 2022/08/04 00:10:25 - mmengine - INFO - Epoch(train) [66][340/1879] lr: 1.0000e-02 eta: 1 day, 19:00:25 time: 0.4341 data_time: 0.0175 memory: 17087 grad_norm: 5.0895 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7247 loss: 1.7247 2022/08/04 00:10:33 - mmengine - INFO - Epoch(train) [66][360/1879] lr: 1.0000e-02 eta: 1 day, 19:00:16 time: 0.4298 data_time: 0.0153 memory: 17087 grad_norm: 5.1167 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.4833 loss: 1.4833 2022/08/04 00:10:42 - mmengine - INFO - Epoch(train) [66][380/1879] lr: 1.0000e-02 eta: 1 day, 19:00:07 time: 0.4305 data_time: 0.0195 memory: 17087 grad_norm: 5.1187 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4937 loss: 1.4937 2022/08/04 00:10:50 - mmengine - INFO - Epoch(train) [66][400/1879] lr: 1.0000e-02 eta: 1 day, 18:59:58 time: 0.4257 data_time: 0.0155 memory: 17087 grad_norm: 5.2284 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6293 loss: 1.6293 2022/08/04 00:10:59 - mmengine - INFO - Epoch(train) [66][420/1879] lr: 1.0000e-02 eta: 1 day, 18:59:49 time: 0.4276 data_time: 0.0169 memory: 17087 grad_norm: 5.1008 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4825 loss: 1.4825 2022/08/04 00:11:07 - mmengine - INFO - Epoch(train) [66][440/1879] lr: 1.0000e-02 eta: 1 day, 18:59:41 time: 0.4299 data_time: 0.0159 memory: 17087 grad_norm: 5.0052 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6042 loss: 1.6042 2022/08/04 00:11:16 - mmengine - INFO - Epoch(train) [66][460/1879] lr: 1.0000e-02 eta: 1 day, 18:59:32 time: 0.4260 data_time: 0.0157 memory: 17087 grad_norm: 5.2917 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6102 loss: 1.6102 2022/08/04 00:11:25 - mmengine - INFO - Epoch(train) [66][480/1879] lr: 1.0000e-02 eta: 1 day, 18:59:24 time: 0.4496 data_time: 0.0160 memory: 17087 grad_norm: 5.0099 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5512 loss: 1.5512 2022/08/04 00:11:34 - mmengine - INFO - Epoch(train) [66][500/1879] lr: 1.0000e-02 eta: 1 day, 18:59:16 time: 0.4340 data_time: 0.0200 memory: 17087 grad_norm: 5.1171 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4836 loss: 1.4836 2022/08/04 00:11:42 - mmengine - INFO - Epoch(train) [66][520/1879] lr: 1.0000e-02 eta: 1 day, 18:59:07 time: 0.4266 data_time: 0.0162 memory: 17087 grad_norm: 5.3280 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7034 loss: 1.7034 2022/08/04 00:11:51 - mmengine - INFO - Epoch(train) [66][540/1879] lr: 1.0000e-02 eta: 1 day, 18:58:59 time: 0.4473 data_time: 0.0152 memory: 17087 grad_norm: 5.2055 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6041 loss: 1.6041 2022/08/04 00:12:00 - mmengine - INFO - Epoch(train) [66][560/1879] lr: 1.0000e-02 eta: 1 day, 18:58:50 time: 0.4276 data_time: 0.0156 memory: 17087 grad_norm: 5.0662 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4965 loss: 1.4965 2022/08/04 00:12:08 - mmengine - INFO - Epoch(train) [66][580/1879] lr: 1.0000e-02 eta: 1 day, 18:58:41 time: 0.4309 data_time: 0.0190 memory: 17087 grad_norm: 5.0017 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6254 loss: 1.6254 2022/08/04 00:12:17 - mmengine - INFO - Epoch(train) [66][600/1879] lr: 1.0000e-02 eta: 1 day, 18:58:32 time: 0.4283 data_time: 0.0177 memory: 17087 grad_norm: 5.1758 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5748 loss: 1.5748 2022/08/04 00:12:25 - mmengine - INFO - Epoch(train) [66][620/1879] lr: 1.0000e-02 eta: 1 day, 18:58:24 time: 0.4273 data_time: 0.0147 memory: 17087 grad_norm: 5.1034 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5832 loss: 1.5832 2022/08/04 00:12:34 - mmengine - INFO - Epoch(train) [66][640/1879] lr: 1.0000e-02 eta: 1 day, 18:58:16 time: 0.4446 data_time: 0.0165 memory: 17087 grad_norm: 5.0734 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5170 loss: 1.5170 2022/08/04 00:12:43 - mmengine - INFO - Epoch(train) [66][660/1879] lr: 1.0000e-02 eta: 1 day, 18:58:07 time: 0.4262 data_time: 0.0139 memory: 17087 grad_norm: 5.1621 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7449 loss: 1.7449 2022/08/04 00:12:52 - mmengine - INFO - Epoch(train) [66][680/1879] lr: 1.0000e-02 eta: 1 day, 18:57:58 time: 0.4360 data_time: 0.0207 memory: 17087 grad_norm: 5.0650 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6529 loss: 1.6529 2022/08/04 00:13:00 - mmengine - INFO - Epoch(train) [66][700/1879] lr: 1.0000e-02 eta: 1 day, 18:57:49 time: 0.4255 data_time: 0.0149 memory: 17087 grad_norm: 5.1505 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5623 loss: 1.5623 2022/08/04 00:13:09 - mmengine - INFO - Epoch(train) [66][720/1879] lr: 1.0000e-02 eta: 1 day, 18:57:41 time: 0.4289 data_time: 0.0171 memory: 17087 grad_norm: 5.0431 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4885 loss: 1.4885 2022/08/04 00:13:18 - mmengine - INFO - Epoch(train) [66][740/1879] lr: 1.0000e-02 eta: 1 day, 18:57:33 time: 0.4492 data_time: 0.0145 memory: 17087 grad_norm: 4.9437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5030 loss: 1.5030 2022/08/04 00:13:26 - mmengine - INFO - Epoch(train) [66][760/1879] lr: 1.0000e-02 eta: 1 day, 18:57:24 time: 0.4331 data_time: 0.0214 memory: 17087 grad_norm: 5.1045 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6972 loss: 1.6972 2022/08/04 00:13:35 - mmengine - INFO - Epoch(train) [66][780/1879] lr: 1.0000e-02 eta: 1 day, 18:57:17 time: 0.4464 data_time: 0.0145 memory: 17087 grad_norm: 5.1557 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5601 loss: 1.5601 2022/08/04 00:13:44 - mmengine - INFO - Epoch(train) [66][800/1879] lr: 1.0000e-02 eta: 1 day, 18:57:08 time: 0.4314 data_time: 0.0153 memory: 17087 grad_norm: 5.1664 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7456 loss: 1.7456 2022/08/04 00:13:53 - mmengine - INFO - Epoch(train) [66][820/1879] lr: 1.0000e-02 eta: 1 day, 18:56:59 time: 0.4261 data_time: 0.0144 memory: 17087 grad_norm: 5.1726 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6207 loss: 1.6207 2022/08/04 00:14:01 - mmengine - INFO - Epoch(train) [66][840/1879] lr: 1.0000e-02 eta: 1 day, 18:56:50 time: 0.4280 data_time: 0.0163 memory: 17087 grad_norm: 4.9088 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6922 loss: 1.6922 2022/08/04 00:14:10 - mmengine - INFO - Epoch(train) [66][860/1879] lr: 1.0000e-02 eta: 1 day, 18:56:41 time: 0.4265 data_time: 0.0138 memory: 17087 grad_norm: 5.0862 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7652 loss: 1.7652 2022/08/04 00:14:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 00:14:18 - mmengine - INFO - Epoch(train) [66][880/1879] lr: 1.0000e-02 eta: 1 day, 18:56:32 time: 0.4265 data_time: 0.0170 memory: 17087 grad_norm: 4.9887 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5210 loss: 1.5210 2022/08/04 00:14:27 - mmengine - INFO - Epoch(train) [66][900/1879] lr: 1.0000e-02 eta: 1 day, 18:56:24 time: 0.4428 data_time: 0.0168 memory: 17087 grad_norm: 5.0960 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4677 loss: 1.4677 2022/08/04 00:14:36 - mmengine - INFO - Epoch(train) [66][920/1879] lr: 1.0000e-02 eta: 1 day, 18:56:16 time: 0.4345 data_time: 0.0165 memory: 17087 grad_norm: 5.1734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5581 loss: 1.5581 2022/08/04 00:14:44 - mmengine - INFO - Epoch(train) [66][940/1879] lr: 1.0000e-02 eta: 1 day, 18:56:07 time: 0.4294 data_time: 0.0162 memory: 17087 grad_norm: 5.1378 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6645 loss: 1.6645 2022/08/04 00:14:53 - mmengine - INFO - Epoch(train) [66][960/1879] lr: 1.0000e-02 eta: 1 day, 18:55:58 time: 0.4269 data_time: 0.0169 memory: 17087 grad_norm: 4.9632 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5078 loss: 1.5078 2022/08/04 00:15:02 - mmengine - INFO - Epoch(train) [66][980/1879] lr: 1.0000e-02 eta: 1 day, 18:55:50 time: 0.4369 data_time: 0.0155 memory: 17087 grad_norm: 5.0100 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6709 loss: 1.6709 2022/08/04 00:15:10 - mmengine - INFO - Epoch(train) [66][1000/1879] lr: 1.0000e-02 eta: 1 day, 18:55:41 time: 0.4278 data_time: 0.0157 memory: 17087 grad_norm: 5.3133 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4593 loss: 1.4593 2022/08/04 00:15:19 - mmengine - INFO - Epoch(train) [66][1020/1879] lr: 1.0000e-02 eta: 1 day, 18:55:32 time: 0.4278 data_time: 0.0152 memory: 17087 grad_norm: 5.1542 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4542 loss: 1.4542 2022/08/04 00:15:27 - mmengine - INFO - Epoch(train) [66][1040/1879] lr: 1.0000e-02 eta: 1 day, 18:55:23 time: 0.4280 data_time: 0.0158 memory: 17087 grad_norm: 5.1557 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2569 loss: 1.2569 2022/08/04 00:15:36 - mmengine - INFO - Epoch(train) [66][1060/1879] lr: 1.0000e-02 eta: 1 day, 18:55:14 time: 0.4255 data_time: 0.0139 memory: 17087 grad_norm: 5.0989 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6097 loss: 1.6097 2022/08/04 00:15:44 - mmengine - INFO - Epoch(train) [66][1080/1879] lr: 1.0000e-02 eta: 1 day, 18:55:05 time: 0.4283 data_time: 0.0178 memory: 17087 grad_norm: 5.1705 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6433 loss: 1.6433 2022/08/04 00:15:53 - mmengine - INFO - Epoch(train) [66][1100/1879] lr: 1.0000e-02 eta: 1 day, 18:54:56 time: 0.4243 data_time: 0.0136 memory: 17087 grad_norm: 5.0810 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5450 loss: 1.5450 2022/08/04 00:16:01 - mmengine - INFO - Epoch(train) [66][1120/1879] lr: 1.0000e-02 eta: 1 day, 18:54:47 time: 0.4265 data_time: 0.0159 memory: 17087 grad_norm: 5.0991 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5337 loss: 1.5337 2022/08/04 00:16:10 - mmengine - INFO - Epoch(train) [66][1140/1879] lr: 1.0000e-02 eta: 1 day, 18:54:38 time: 0.4253 data_time: 0.0141 memory: 17087 grad_norm: 5.2074 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5106 loss: 1.5106 2022/08/04 00:16:18 - mmengine - INFO - Epoch(train) [66][1160/1879] lr: 1.0000e-02 eta: 1 day, 18:54:29 time: 0.4257 data_time: 0.0176 memory: 17087 grad_norm: 5.0372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.8093 loss: 1.8093 2022/08/04 00:16:27 - mmengine - INFO - Epoch(train) [66][1180/1879] lr: 1.0000e-02 eta: 1 day, 18:54:20 time: 0.4278 data_time: 0.0161 memory: 17087 grad_norm: 5.0087 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5596 loss: 1.5596 2022/08/04 00:16:36 - mmengine - INFO - Epoch(train) [66][1200/1879] lr: 1.0000e-02 eta: 1 day, 18:54:12 time: 0.4317 data_time: 0.0149 memory: 17087 grad_norm: 5.1037 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4844 loss: 1.4844 2022/08/04 00:16:44 - mmengine - INFO - Epoch(train) [66][1220/1879] lr: 1.0000e-02 eta: 1 day, 18:54:03 time: 0.4297 data_time: 0.0149 memory: 17087 grad_norm: 5.2908 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5760 loss: 1.5760 2022/08/04 00:16:53 - mmengine - INFO - Epoch(train) [66][1240/1879] lr: 1.0000e-02 eta: 1 day, 18:53:54 time: 0.4351 data_time: 0.0186 memory: 17087 grad_norm: 5.1888 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5704 loss: 1.5704 2022/08/04 00:17:02 - mmengine - INFO - Epoch(train) [66][1260/1879] lr: 1.0000e-02 eta: 1 day, 18:53:45 time: 0.4255 data_time: 0.0156 memory: 17087 grad_norm: 4.9891 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5265 loss: 1.5265 2022/08/04 00:17:10 - mmengine - INFO - Epoch(train) [66][1280/1879] lr: 1.0000e-02 eta: 1 day, 18:53:37 time: 0.4370 data_time: 0.0203 memory: 17087 grad_norm: 4.9852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4303 loss: 1.4303 2022/08/04 00:17:19 - mmengine - INFO - Epoch(train) [66][1300/1879] lr: 1.0000e-02 eta: 1 day, 18:53:28 time: 0.4278 data_time: 0.0179 memory: 17087 grad_norm: 5.0936 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7034 loss: 1.7034 2022/08/04 00:17:27 - mmengine - INFO - Epoch(train) [66][1320/1879] lr: 1.0000e-02 eta: 1 day, 18:53:19 time: 0.4258 data_time: 0.0162 memory: 17087 grad_norm: 5.0145 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5219 loss: 1.5219 2022/08/04 00:17:36 - mmengine - INFO - Epoch(train) [66][1340/1879] lr: 1.0000e-02 eta: 1 day, 18:53:11 time: 0.4300 data_time: 0.0159 memory: 17087 grad_norm: 5.1584 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5023 loss: 1.5023 2022/08/04 00:17:45 - mmengine - INFO - Epoch(train) [66][1360/1879] lr: 1.0000e-02 eta: 1 day, 18:53:02 time: 0.4263 data_time: 0.0147 memory: 17087 grad_norm: 4.9379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7422 loss: 1.7422 2022/08/04 00:17:53 - mmengine - INFO - Epoch(train) [66][1380/1879] lr: 1.0000e-02 eta: 1 day, 18:52:53 time: 0.4322 data_time: 0.0206 memory: 17087 grad_norm: 4.9901 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7539 loss: 1.7539 2022/08/04 00:18:02 - mmengine - INFO - Epoch(train) [66][1400/1879] lr: 1.0000e-02 eta: 1 day, 18:52:44 time: 0.4275 data_time: 0.0150 memory: 17087 grad_norm: 5.3636 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6930 loss: 1.6930 2022/08/04 00:18:10 - mmengine - INFO - Epoch(train) [66][1420/1879] lr: 1.0000e-02 eta: 1 day, 18:52:35 time: 0.4270 data_time: 0.0162 memory: 17087 grad_norm: 5.2048 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5130 loss: 1.5130 2022/08/04 00:18:19 - mmengine - INFO - Epoch(train) [66][1440/1879] lr: 1.0000e-02 eta: 1 day, 18:52:27 time: 0.4379 data_time: 0.0173 memory: 17087 grad_norm: 5.2378 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6611 loss: 1.6611 2022/08/04 00:18:28 - mmengine - INFO - Epoch(train) [66][1460/1879] lr: 1.0000e-02 eta: 1 day, 18:52:18 time: 0.4283 data_time: 0.0146 memory: 17087 grad_norm: 4.9915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5146 loss: 1.5146 2022/08/04 00:18:36 - mmengine - INFO - Epoch(train) [66][1480/1879] lr: 1.0000e-02 eta: 1 day, 18:52:09 time: 0.4271 data_time: 0.0160 memory: 17087 grad_norm: 5.1150 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5202 loss: 1.5202 2022/08/04 00:18:45 - mmengine - INFO - Epoch(train) [66][1500/1879] lr: 1.0000e-02 eta: 1 day, 18:52:00 time: 0.4269 data_time: 0.0143 memory: 17087 grad_norm: 5.0689 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5393 loss: 1.5393 2022/08/04 00:18:53 - mmengine - INFO - Epoch(train) [66][1520/1879] lr: 1.0000e-02 eta: 1 day, 18:51:52 time: 0.4332 data_time: 0.0165 memory: 17087 grad_norm: 5.0975 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8614 loss: 1.8614 2022/08/04 00:19:02 - mmengine - INFO - Epoch(train) [66][1540/1879] lr: 1.0000e-02 eta: 1 day, 18:51:43 time: 0.4280 data_time: 0.0145 memory: 17087 grad_norm: 5.1081 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5639 loss: 1.5639 2022/08/04 00:19:10 - mmengine - INFO - Epoch(train) [66][1560/1879] lr: 1.0000e-02 eta: 1 day, 18:51:34 time: 0.4265 data_time: 0.0158 memory: 17087 grad_norm: 5.1196 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4340 loss: 1.4340 2022/08/04 00:19:19 - mmengine - INFO - Epoch(train) [66][1580/1879] lr: 1.0000e-02 eta: 1 day, 18:51:25 time: 0.4286 data_time: 0.0167 memory: 17087 grad_norm: 5.0746 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5701 loss: 1.5701 2022/08/04 00:19:28 - mmengine - INFO - Epoch(train) [66][1600/1879] lr: 1.0000e-02 eta: 1 day, 18:51:16 time: 0.4312 data_time: 0.0161 memory: 17087 grad_norm: 5.1110 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4391 loss: 1.4391 2022/08/04 00:19:36 - mmengine - INFO - Epoch(train) [66][1620/1879] lr: 1.0000e-02 eta: 1 day, 18:51:08 time: 0.4276 data_time: 0.0157 memory: 17087 grad_norm: 5.1268 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.6673 loss: 1.6673 2022/08/04 00:19:45 - mmengine - INFO - Epoch(train) [66][1640/1879] lr: 1.0000e-02 eta: 1 day, 18:50:59 time: 0.4274 data_time: 0.0153 memory: 17087 grad_norm: 5.0562 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3834 loss: 1.3834 2022/08/04 00:19:53 - mmengine - INFO - Epoch(train) [66][1660/1879] lr: 1.0000e-02 eta: 1 day, 18:50:50 time: 0.4283 data_time: 0.0174 memory: 17087 grad_norm: 5.1300 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4900 loss: 1.4900 2022/08/04 00:20:02 - mmengine - INFO - Epoch(train) [66][1680/1879] lr: 1.0000e-02 eta: 1 day, 18:50:41 time: 0.4375 data_time: 0.0161 memory: 17087 grad_norm: 5.0650 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6832 loss: 1.6832 2022/08/04 00:20:11 - mmengine - INFO - Epoch(train) [66][1700/1879] lr: 1.0000e-02 eta: 1 day, 18:50:32 time: 0.4247 data_time: 0.0140 memory: 17087 grad_norm: 5.0051 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5921 loss: 1.5921 2022/08/04 00:20:19 - mmengine - INFO - Epoch(train) [66][1720/1879] lr: 1.0000e-02 eta: 1 day, 18:50:23 time: 0.4253 data_time: 0.0144 memory: 17087 grad_norm: 4.9369 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5938 loss: 1.5938 2022/08/04 00:20:28 - mmengine - INFO - Epoch(train) [66][1740/1879] lr: 1.0000e-02 eta: 1 day, 18:50:14 time: 0.4257 data_time: 0.0141 memory: 17087 grad_norm: 5.2218 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7190 loss: 1.7190 2022/08/04 00:20:36 - mmengine - INFO - Epoch(train) [66][1760/1879] lr: 1.0000e-02 eta: 1 day, 18:50:06 time: 0.4274 data_time: 0.0164 memory: 17087 grad_norm: 5.1525 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4369 loss: 1.4369 2022/08/04 00:20:45 - mmengine - INFO - Epoch(train) [66][1780/1879] lr: 1.0000e-02 eta: 1 day, 18:49:57 time: 0.4259 data_time: 0.0152 memory: 17087 grad_norm: 5.2330 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4776 loss: 1.4776 2022/08/04 00:20:53 - mmengine - INFO - Epoch(train) [66][1800/1879] lr: 1.0000e-02 eta: 1 day, 18:49:48 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 5.0670 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7081 loss: 1.7081 2022/08/04 00:21:02 - mmengine - INFO - Epoch(train) [66][1820/1879] lr: 1.0000e-02 eta: 1 day, 18:49:39 time: 0.4271 data_time: 0.0160 memory: 17087 grad_norm: 5.1297 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.8160 loss: 1.8160 2022/08/04 00:21:10 - mmengine - INFO - Epoch(train) [66][1840/1879] lr: 1.0000e-02 eta: 1 day, 18:49:30 time: 0.4270 data_time: 0.0153 memory: 17087 grad_norm: 5.1314 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5823 loss: 1.5823 2022/08/04 00:21:19 - mmengine - INFO - Epoch(train) [66][1860/1879] lr: 1.0000e-02 eta: 1 day, 18:49:21 time: 0.4253 data_time: 0.0149 memory: 17087 grad_norm: 5.1814 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6846 loss: 1.6846 2022/08/04 00:21:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 00:21:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 00:21:27 - mmengine - INFO - Epoch(train) [66][1879/1879] lr: 1.0000e-02 eta: 1 day, 18:49:21 time: 0.4312 data_time: 0.0161 memory: 17087 grad_norm: 5.1348 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3120 loss: 1.3120 2022/08/04 00:21:38 - mmengine - INFO - Epoch(train) [67][20/1879] lr: 1.0000e-02 eta: 1 day, 18:48:47 time: 0.5514 data_time: 0.1275 memory: 17087 grad_norm: 4.9527 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5512 loss: 1.5512 2022/08/04 00:21:47 - mmengine - INFO - Epoch(train) [67][40/1879] lr: 1.0000e-02 eta: 1 day, 18:48:39 time: 0.4274 data_time: 0.0184 memory: 17087 grad_norm: 4.9182 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5685 loss: 1.5685 2022/08/04 00:21:56 - mmengine - INFO - Epoch(train) [67][60/1879] lr: 1.0000e-02 eta: 1 day, 18:48:31 time: 0.4500 data_time: 0.0153 memory: 17087 grad_norm: 5.1224 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6183 loss: 1.6183 2022/08/04 00:22:05 - mmengine - INFO - Epoch(train) [67][80/1879] lr: 1.0000e-02 eta: 1 day, 18:48:22 time: 0.4284 data_time: 0.0153 memory: 17087 grad_norm: 4.9230 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5091 loss: 1.5091 2022/08/04 00:22:14 - mmengine - INFO - Epoch(train) [67][100/1879] lr: 1.0000e-02 eta: 1 day, 18:48:15 time: 0.4539 data_time: 0.0204 memory: 17087 grad_norm: 5.0035 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5676 loss: 1.5676 2022/08/04 00:22:22 - mmengine - INFO - Epoch(train) [67][120/1879] lr: 1.0000e-02 eta: 1 day, 18:48:06 time: 0.4282 data_time: 0.0167 memory: 17087 grad_norm: 5.0777 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4349 loss: 1.4349 2022/08/04 00:22:31 - mmengine - INFO - Epoch(train) [67][140/1879] lr: 1.0000e-02 eta: 1 day, 18:47:58 time: 0.4356 data_time: 0.0204 memory: 17087 grad_norm: 5.0492 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4827 loss: 1.4827 2022/08/04 00:22:39 - mmengine - INFO - Epoch(train) [67][160/1879] lr: 1.0000e-02 eta: 1 day, 18:47:49 time: 0.4264 data_time: 0.0157 memory: 17087 grad_norm: 5.1428 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4907 loss: 1.4907 2022/08/04 00:22:48 - mmengine - INFO - Epoch(train) [67][180/1879] lr: 1.0000e-02 eta: 1 day, 18:47:39 time: 0.4242 data_time: 0.0124 memory: 17087 grad_norm: 5.0168 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5717 loss: 1.5717 2022/08/04 00:22:56 - mmengine - INFO - Epoch(train) [67][200/1879] lr: 1.0000e-02 eta: 1 day, 18:47:31 time: 0.4310 data_time: 0.0163 memory: 17087 grad_norm: 5.0525 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5929 loss: 1.5929 2022/08/04 00:23:05 - mmengine - INFO - Epoch(train) [67][220/1879] lr: 1.0000e-02 eta: 1 day, 18:47:22 time: 0.4270 data_time: 0.0158 memory: 17087 grad_norm: 5.2545 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4208 loss: 1.4208 2022/08/04 00:23:14 - mmengine - INFO - Epoch(train) [67][240/1879] lr: 1.0000e-02 eta: 1 day, 18:47:14 time: 0.4439 data_time: 0.0142 memory: 17087 grad_norm: 5.0515 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6760 loss: 1.6760 2022/08/04 00:23:22 - mmengine - INFO - Epoch(train) [67][260/1879] lr: 1.0000e-02 eta: 1 day, 18:47:05 time: 0.4266 data_time: 0.0167 memory: 17087 grad_norm: 4.9214 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4769 loss: 1.4769 2022/08/04 00:23:31 - mmengine - INFO - Epoch(train) [67][280/1879] lr: 1.0000e-02 eta: 1 day, 18:46:56 time: 0.4267 data_time: 0.0162 memory: 17087 grad_norm: 5.1920 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5162 loss: 1.5162 2022/08/04 00:23:39 - mmengine - INFO - Epoch(train) [67][300/1879] lr: 1.0000e-02 eta: 1 day, 18:46:47 time: 0.4236 data_time: 0.0136 memory: 17087 grad_norm: 5.0422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3854 loss: 1.3854 2022/08/04 00:23:48 - mmengine - INFO - Epoch(train) [67][320/1879] lr: 1.0000e-02 eta: 1 day, 18:46:39 time: 0.4435 data_time: 0.0159 memory: 17087 grad_norm: 5.0904 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4832 loss: 1.4832 2022/08/04 00:23:57 - mmengine - INFO - Epoch(train) [67][340/1879] lr: 1.0000e-02 eta: 1 day, 18:46:30 time: 0.4260 data_time: 0.0143 memory: 17087 grad_norm: 4.9843 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6277 loss: 1.6277 2022/08/04 00:24:05 - mmengine - INFO - Epoch(train) [67][360/1879] lr: 1.0000e-02 eta: 1 day, 18:46:21 time: 0.4294 data_time: 0.0162 memory: 17087 grad_norm: 5.0598 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6495 loss: 1.6495 2022/08/04 00:24:14 - mmengine - INFO - Epoch(train) [67][380/1879] lr: 1.0000e-02 eta: 1 day, 18:46:12 time: 0.4243 data_time: 0.0138 memory: 17087 grad_norm: 5.1924 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5817 loss: 1.5817 2022/08/04 00:24:23 - mmengine - INFO - Epoch(train) [67][400/1879] lr: 1.0000e-02 eta: 1 day, 18:46:04 time: 0.4461 data_time: 0.0159 memory: 17087 grad_norm: 5.1153 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5329 loss: 1.5329 2022/08/04 00:24:31 - mmengine - INFO - Epoch(train) [67][420/1879] lr: 1.0000e-02 eta: 1 day, 18:45:55 time: 0.4246 data_time: 0.0131 memory: 17087 grad_norm: 5.1723 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3407 loss: 1.3407 2022/08/04 00:24:40 - mmengine - INFO - Epoch(train) [67][440/1879] lr: 1.0000e-02 eta: 1 day, 18:45:47 time: 0.4346 data_time: 0.0158 memory: 17087 grad_norm: 5.0177 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5184 loss: 1.5184 2022/08/04 00:24:49 - mmengine - INFO - Epoch(train) [67][460/1879] lr: 1.0000e-02 eta: 1 day, 18:45:38 time: 0.4248 data_time: 0.0131 memory: 17087 grad_norm: 5.1689 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5128 loss: 1.5128 2022/08/04 00:24:57 - mmengine - INFO - Epoch(train) [67][480/1879] lr: 1.0000e-02 eta: 1 day, 18:45:30 time: 0.4384 data_time: 0.0231 memory: 17087 grad_norm: 5.0929 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5157 loss: 1.5157 2022/08/04 00:25:06 - mmengine - INFO - Epoch(train) [67][500/1879] lr: 1.0000e-02 eta: 1 day, 18:45:21 time: 0.4263 data_time: 0.0147 memory: 17087 grad_norm: 5.0346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5175 loss: 1.5175 2022/08/04 00:25:15 - mmengine - INFO - Epoch(train) [67][520/1879] lr: 1.0000e-02 eta: 1 day, 18:45:12 time: 0.4309 data_time: 0.0168 memory: 17087 grad_norm: 5.2021 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.6207 loss: 1.6207 2022/08/04 00:25:23 - mmengine - INFO - Epoch(train) [67][540/1879] lr: 1.0000e-02 eta: 1 day, 18:45:03 time: 0.4255 data_time: 0.0156 memory: 17087 grad_norm: 5.1600 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6105 loss: 1.6105 2022/08/04 00:25:32 - mmengine - INFO - Epoch(train) [67][560/1879] lr: 1.0000e-02 eta: 1 day, 18:44:54 time: 0.4317 data_time: 0.0187 memory: 17087 grad_norm: 5.0750 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7127 loss: 1.7127 2022/08/04 00:25:40 - mmengine - INFO - Epoch(train) [67][580/1879] lr: 1.0000e-02 eta: 1 day, 18:44:45 time: 0.4236 data_time: 0.0121 memory: 17087 grad_norm: 5.0760 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5810 loss: 1.5810 2022/08/04 00:25:49 - mmengine - INFO - Epoch(train) [67][600/1879] lr: 1.0000e-02 eta: 1 day, 18:44:36 time: 0.4257 data_time: 0.0148 memory: 17087 grad_norm: 5.2561 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6790 loss: 1.6790 2022/08/04 00:25:58 - mmengine - INFO - Epoch(train) [67][620/1879] lr: 1.0000e-02 eta: 1 day, 18:44:29 time: 0.4467 data_time: 0.0165 memory: 17087 grad_norm: 5.1944 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5372 loss: 1.5372 2022/08/04 00:26:06 - mmengine - INFO - Epoch(train) [67][640/1879] lr: 1.0000e-02 eta: 1 day, 18:44:20 time: 0.4307 data_time: 0.0210 memory: 17087 grad_norm: 4.9900 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6098 loss: 1.6098 2022/08/04 00:26:15 - mmengine - INFO - Epoch(train) [67][660/1879] lr: 1.0000e-02 eta: 1 day, 18:44:11 time: 0.4282 data_time: 0.0169 memory: 17087 grad_norm: 5.0803 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4967 loss: 1.4967 2022/08/04 00:26:23 - mmengine - INFO - Epoch(train) [67][680/1879] lr: 1.0000e-02 eta: 1 day, 18:44:02 time: 0.4282 data_time: 0.0162 memory: 17087 grad_norm: 5.0311 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4211 loss: 1.4211 2022/08/04 00:26:32 - mmengine - INFO - Epoch(train) [67][700/1879] lr: 1.0000e-02 eta: 1 day, 18:43:55 time: 0.4507 data_time: 0.0169 memory: 17087 grad_norm: 5.1020 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3986 loss: 1.3986 2022/08/04 00:26:41 - mmengine - INFO - Epoch(train) [67][720/1879] lr: 1.0000e-02 eta: 1 day, 18:43:46 time: 0.4276 data_time: 0.0184 memory: 17087 grad_norm: 5.2251 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5942 loss: 1.5942 2022/08/04 00:26:50 - mmengine - INFO - Epoch(train) [67][740/1879] lr: 1.0000e-02 eta: 1 day, 18:43:37 time: 0.4246 data_time: 0.0139 memory: 17087 grad_norm: 4.9580 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4803 loss: 1.4803 2022/08/04 00:26:59 - mmengine - INFO - Epoch(train) [67][760/1879] lr: 1.0000e-02 eta: 1 day, 18:43:30 time: 0.4654 data_time: 0.0218 memory: 17087 grad_norm: 4.8915 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5092 loss: 1.5092 2022/08/04 00:27:07 - mmengine - INFO - Epoch(train) [67][780/1879] lr: 1.0000e-02 eta: 1 day, 18:43:21 time: 0.4304 data_time: 0.0197 memory: 17087 grad_norm: 5.2013 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7255 loss: 1.7255 2022/08/04 00:27:17 - mmengine - INFO - Epoch(train) [67][800/1879] lr: 1.0000e-02 eta: 1 day, 18:43:14 time: 0.4583 data_time: 0.0168 memory: 17087 grad_norm: 5.0930 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6442 loss: 1.6442 2022/08/04 00:27:25 - mmengine - INFO - Epoch(train) [67][820/1879] lr: 1.0000e-02 eta: 1 day, 18:43:05 time: 0.4251 data_time: 0.0135 memory: 17087 grad_norm: 5.0935 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5718 loss: 1.5718 2022/08/04 00:27:34 - mmengine - INFO - Epoch(train) [67][840/1879] lr: 1.0000e-02 eta: 1 day, 18:42:58 time: 0.4496 data_time: 0.0220 memory: 17087 grad_norm: 5.0451 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6116 loss: 1.6116 2022/08/04 00:27:43 - mmengine - INFO - Epoch(train) [67][860/1879] lr: 1.0000e-02 eta: 1 day, 18:42:49 time: 0.4298 data_time: 0.0152 memory: 17087 grad_norm: 4.9807 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5567 loss: 1.5567 2022/08/04 00:27:51 - mmengine - INFO - Epoch(train) [67][880/1879] lr: 1.0000e-02 eta: 1 day, 18:42:40 time: 0.4260 data_time: 0.0172 memory: 17087 grad_norm: 5.0758 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6316 loss: 1.6316 2022/08/04 00:28:00 - mmengine - INFO - Epoch(train) [67][900/1879] lr: 1.0000e-02 eta: 1 day, 18:42:32 time: 0.4454 data_time: 0.0132 memory: 17087 grad_norm: 5.1086 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5266 loss: 1.5266 2022/08/04 00:28:09 - mmengine - INFO - Epoch(train) [67][920/1879] lr: 1.0000e-02 eta: 1 day, 18:42:23 time: 0.4335 data_time: 0.0161 memory: 17087 grad_norm: 5.2924 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7724 loss: 1.7724 2022/08/04 00:28:18 - mmengine - INFO - Epoch(train) [67][940/1879] lr: 1.0000e-02 eta: 1 day, 18:42:15 time: 0.4352 data_time: 0.0155 memory: 17087 grad_norm: 5.2923 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6801 loss: 1.6801 2022/08/04 00:28:26 - mmengine - INFO - Epoch(train) [67][960/1879] lr: 1.0000e-02 eta: 1 day, 18:42:06 time: 0.4344 data_time: 0.0180 memory: 17087 grad_norm: 5.0421 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5048 loss: 1.5048 2022/08/04 00:28:35 - mmengine - INFO - Epoch(train) [67][980/1879] lr: 1.0000e-02 eta: 1 day, 18:41:58 time: 0.4258 data_time: 0.0139 memory: 17087 grad_norm: 5.0330 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5073 loss: 1.5073 2022/08/04 00:28:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 00:28:43 - mmengine - INFO - Epoch(train) [67][1000/1879] lr: 1.0000e-02 eta: 1 day, 18:41:49 time: 0.4262 data_time: 0.0155 memory: 17087 grad_norm: 5.1148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5285 loss: 1.5285 2022/08/04 00:28:52 - mmengine - INFO - Epoch(train) [67][1020/1879] lr: 1.0000e-02 eta: 1 day, 18:41:40 time: 0.4274 data_time: 0.0142 memory: 17087 grad_norm: 5.1792 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5334 loss: 1.5334 2022/08/04 00:29:00 - mmengine - INFO - Epoch(train) [67][1040/1879] lr: 1.0000e-02 eta: 1 day, 18:41:31 time: 0.4277 data_time: 0.0154 memory: 17087 grad_norm: 5.1608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6231 loss: 1.6231 2022/08/04 00:29:09 - mmengine - INFO - Epoch(train) [67][1060/1879] lr: 1.0000e-02 eta: 1 day, 18:41:22 time: 0.4351 data_time: 0.0138 memory: 17087 grad_norm: 5.1842 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7050 loss: 1.7050 2022/08/04 00:29:18 - mmengine - INFO - Epoch(train) [67][1080/1879] lr: 1.0000e-02 eta: 1 day, 18:41:14 time: 0.4290 data_time: 0.0163 memory: 17087 grad_norm: 5.0581 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6718 loss: 1.6718 2022/08/04 00:29:26 - mmengine - INFO - Epoch(train) [67][1100/1879] lr: 1.0000e-02 eta: 1 day, 18:41:05 time: 0.4310 data_time: 0.0149 memory: 17087 grad_norm: 5.1183 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7347 loss: 1.7347 2022/08/04 00:29:35 - mmengine - INFO - Epoch(train) [67][1120/1879] lr: 1.0000e-02 eta: 1 day, 18:40:56 time: 0.4332 data_time: 0.0184 memory: 17087 grad_norm: 5.0067 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5296 loss: 1.5296 2022/08/04 00:29:44 - mmengine - INFO - Epoch(train) [67][1140/1879] lr: 1.0000e-02 eta: 1 day, 18:40:47 time: 0.4271 data_time: 0.0133 memory: 17087 grad_norm: 5.1956 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6106 loss: 1.6106 2022/08/04 00:29:52 - mmengine - INFO - Epoch(train) [67][1160/1879] lr: 1.0000e-02 eta: 1 day, 18:40:39 time: 0.4281 data_time: 0.0164 memory: 17087 grad_norm: 5.1435 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6129 loss: 1.6129 2022/08/04 00:30:01 - mmengine - INFO - Epoch(train) [67][1180/1879] lr: 1.0000e-02 eta: 1 day, 18:40:30 time: 0.4240 data_time: 0.0133 memory: 17087 grad_norm: 5.0890 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4624 loss: 1.4624 2022/08/04 00:30:09 - mmengine - INFO - Epoch(train) [67][1200/1879] lr: 1.0000e-02 eta: 1 day, 18:40:21 time: 0.4280 data_time: 0.0181 memory: 17087 grad_norm: 5.1604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4957 loss: 1.4957 2022/08/04 00:30:18 - mmengine - INFO - Epoch(train) [67][1220/1879] lr: 1.0000e-02 eta: 1 day, 18:40:12 time: 0.4252 data_time: 0.0149 memory: 17087 grad_norm: 5.2397 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4582 loss: 1.4582 2022/08/04 00:30:27 - mmengine - INFO - Epoch(train) [67][1240/1879] lr: 1.0000e-02 eta: 1 day, 18:40:04 time: 0.4471 data_time: 0.0174 memory: 17087 grad_norm: 5.0944 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5877 loss: 1.5877 2022/08/04 00:30:35 - mmengine - INFO - Epoch(train) [67][1260/1879] lr: 1.0000e-02 eta: 1 day, 18:39:55 time: 0.4264 data_time: 0.0136 memory: 17087 grad_norm: 5.0532 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5271 loss: 1.5271 2022/08/04 00:30:44 - mmengine - INFO - Epoch(train) [67][1280/1879] lr: 1.0000e-02 eta: 1 day, 18:39:47 time: 0.4360 data_time: 0.0230 memory: 17087 grad_norm: 4.9816 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7115 loss: 1.7115 2022/08/04 00:30:52 - mmengine - INFO - Epoch(train) [67][1300/1879] lr: 1.0000e-02 eta: 1 day, 18:39:38 time: 0.4254 data_time: 0.0137 memory: 17087 grad_norm: 5.2148 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6552 loss: 1.6552 2022/08/04 00:31:01 - mmengine - INFO - Epoch(train) [67][1320/1879] lr: 1.0000e-02 eta: 1 day, 18:39:29 time: 0.4249 data_time: 0.0158 memory: 17087 grad_norm: 5.0502 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3370 loss: 1.3370 2022/08/04 00:31:10 - mmengine - INFO - Epoch(train) [67][1340/1879] lr: 1.0000e-02 eta: 1 day, 18:39:20 time: 0.4258 data_time: 0.0137 memory: 17087 grad_norm: 4.9512 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4025 loss: 1.4025 2022/08/04 00:31:18 - mmengine - INFO - Epoch(train) [67][1360/1879] lr: 1.0000e-02 eta: 1 day, 18:39:11 time: 0.4272 data_time: 0.0158 memory: 17087 grad_norm: 5.2291 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6155 loss: 1.6155 2022/08/04 00:31:27 - mmengine - INFO - Epoch(train) [67][1380/1879] lr: 1.0000e-02 eta: 1 day, 18:39:04 time: 0.4685 data_time: 0.0198 memory: 17087 grad_norm: 5.0682 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5576 loss: 1.5576 2022/08/04 00:31:36 - mmengine - INFO - Epoch(train) [67][1400/1879] lr: 1.0000e-02 eta: 1 day, 18:38:55 time: 0.4261 data_time: 0.0169 memory: 17087 grad_norm: 5.1233 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6288 loss: 1.6288 2022/08/04 00:31:45 - mmengine - INFO - Epoch(train) [67][1420/1879] lr: 1.0000e-02 eta: 1 day, 18:38:49 time: 0.4664 data_time: 0.0192 memory: 17087 grad_norm: 5.1180 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6139 loss: 1.6139 2022/08/04 00:31:54 - mmengine - INFO - Epoch(train) [67][1440/1879] lr: 1.0000e-02 eta: 1 day, 18:38:40 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 5.1576 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6715 loss: 1.6715 2022/08/04 00:32:03 - mmengine - INFO - Epoch(train) [67][1460/1879] lr: 1.0000e-02 eta: 1 day, 18:38:33 time: 0.4663 data_time: 0.0214 memory: 17087 grad_norm: 4.9405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5774 loss: 1.5774 2022/08/04 00:32:12 - mmengine - INFO - Epoch(train) [67][1480/1879] lr: 1.0000e-02 eta: 1 day, 18:38:24 time: 0.4268 data_time: 0.0178 memory: 17087 grad_norm: 5.1186 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5875 loss: 1.5875 2022/08/04 00:32:20 - mmengine - INFO - Epoch(train) [67][1500/1879] lr: 1.0000e-02 eta: 1 day, 18:38:15 time: 0.4279 data_time: 0.0132 memory: 17087 grad_norm: 5.2502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6208 loss: 1.6208 2022/08/04 00:32:29 - mmengine - INFO - Epoch(train) [67][1520/1879] lr: 1.0000e-02 eta: 1 day, 18:38:07 time: 0.4351 data_time: 0.0218 memory: 17087 grad_norm: 5.1768 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6778 loss: 1.6778 2022/08/04 00:32:38 - mmengine - INFO - Epoch(train) [67][1540/1879] lr: 1.0000e-02 eta: 1 day, 18:37:58 time: 0.4259 data_time: 0.0154 memory: 17087 grad_norm: 5.1528 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5947 loss: 1.5947 2022/08/04 00:32:46 - mmengine - INFO - Epoch(train) [67][1560/1879] lr: 1.0000e-02 eta: 1 day, 18:37:49 time: 0.4304 data_time: 0.0172 memory: 17087 grad_norm: 5.1944 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5346 loss: 1.5346 2022/08/04 00:32:55 - mmengine - INFO - Epoch(train) [67][1580/1879] lr: 1.0000e-02 eta: 1 day, 18:37:40 time: 0.4247 data_time: 0.0137 memory: 17087 grad_norm: 5.0845 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5936 loss: 1.5936 2022/08/04 00:33:04 - mmengine - INFO - Epoch(train) [67][1600/1879] lr: 1.0000e-02 eta: 1 day, 18:37:33 time: 0.4519 data_time: 0.0168 memory: 17087 grad_norm: 4.9890 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6309 loss: 1.6309 2022/08/04 00:33:12 - mmengine - INFO - Epoch(train) [67][1620/1879] lr: 1.0000e-02 eta: 1 day, 18:37:24 time: 0.4256 data_time: 0.0130 memory: 17087 grad_norm: 5.0931 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3861 loss: 1.3861 2022/08/04 00:33:21 - mmengine - INFO - Epoch(train) [67][1640/1879] lr: 1.0000e-02 eta: 1 day, 18:37:15 time: 0.4309 data_time: 0.0204 memory: 17087 grad_norm: 5.2394 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5117 loss: 1.5117 2022/08/04 00:33:30 - mmengine - INFO - Epoch(train) [67][1660/1879] lr: 1.0000e-02 eta: 1 day, 18:37:07 time: 0.4471 data_time: 0.0155 memory: 17087 grad_norm: 5.1749 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4670 loss: 1.4670 2022/08/04 00:33:38 - mmengine - INFO - Epoch(train) [67][1680/1879] lr: 1.0000e-02 eta: 1 day, 18:36:58 time: 0.4310 data_time: 0.0148 memory: 17087 grad_norm: 5.1396 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5698 loss: 1.5698 2022/08/04 00:33:47 - mmengine - INFO - Epoch(train) [67][1700/1879] lr: 1.0000e-02 eta: 1 day, 18:36:50 time: 0.4323 data_time: 0.0166 memory: 17087 grad_norm: 4.9156 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5589 loss: 1.5589 2022/08/04 00:33:56 - mmengine - INFO - Epoch(train) [67][1720/1879] lr: 1.0000e-02 eta: 1 day, 18:36:41 time: 0.4253 data_time: 0.0150 memory: 17087 grad_norm: 5.0862 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3991 loss: 1.3991 2022/08/04 00:34:04 - mmengine - INFO - Epoch(train) [67][1740/1879] lr: 1.0000e-02 eta: 1 day, 18:36:33 time: 0.4422 data_time: 0.0162 memory: 17087 grad_norm: 5.0848 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5126 loss: 1.5126 2022/08/04 00:34:13 - mmengine - INFO - Epoch(train) [67][1760/1879] lr: 1.0000e-02 eta: 1 day, 18:36:24 time: 0.4266 data_time: 0.0156 memory: 17087 grad_norm: 5.1483 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7532 loss: 1.7532 2022/08/04 00:34:22 - mmengine - INFO - Epoch(train) [67][1780/1879] lr: 1.0000e-02 eta: 1 day, 18:36:15 time: 0.4307 data_time: 0.0181 memory: 17087 grad_norm: 5.0685 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5840 loss: 1.5840 2022/08/04 00:34:31 - mmengine - INFO - Epoch(train) [67][1800/1879] lr: 1.0000e-02 eta: 1 day, 18:36:08 time: 0.4576 data_time: 0.0188 memory: 17087 grad_norm: 5.1669 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4802 loss: 1.4802 2022/08/04 00:34:39 - mmengine - INFO - Epoch(train) [67][1820/1879] lr: 1.0000e-02 eta: 1 day, 18:35:59 time: 0.4238 data_time: 0.0144 memory: 17087 grad_norm: 5.0613 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5138 loss: 1.5138 2022/08/04 00:34:48 - mmengine - INFO - Epoch(train) [67][1840/1879] lr: 1.0000e-02 eta: 1 day, 18:35:51 time: 0.4366 data_time: 0.0217 memory: 17087 grad_norm: 5.1945 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6743 loss: 1.6743 2022/08/04 00:34:56 - mmengine - INFO - Epoch(train) [67][1860/1879] lr: 1.0000e-02 eta: 1 day, 18:35:41 time: 0.4217 data_time: 0.0135 memory: 17087 grad_norm: 4.9312 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4022 loss: 1.4022 2022/08/04 00:35:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 00:35:05 - mmengine - INFO - Epoch(train) [67][1879/1879] lr: 1.0000e-02 eta: 1 day, 18:35:41 time: 0.4317 data_time: 0.0177 memory: 17087 grad_norm: 5.2618 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.6183 loss: 1.6183 2022/08/04 00:35:16 - mmengine - INFO - Epoch(train) [68][20/1879] lr: 1.0000e-02 eta: 1 day, 18:35:09 time: 0.5661 data_time: 0.1312 memory: 17087 grad_norm: 5.2822 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6572 loss: 1.6572 2022/08/04 00:35:25 - mmengine - INFO - Epoch(train) [68][40/1879] lr: 1.0000e-02 eta: 1 day, 18:35:01 time: 0.4388 data_time: 0.0185 memory: 17087 grad_norm: 5.1208 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5369 loss: 1.5369 2022/08/04 00:35:33 - mmengine - INFO - Epoch(train) [68][60/1879] lr: 1.0000e-02 eta: 1 day, 18:34:52 time: 0.4241 data_time: 0.0129 memory: 17087 grad_norm: 5.2580 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4781 loss: 1.4781 2022/08/04 00:35:42 - mmengine - INFO - Epoch(train) [68][80/1879] lr: 1.0000e-02 eta: 1 day, 18:34:43 time: 0.4375 data_time: 0.0215 memory: 17087 grad_norm: 5.0548 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.2833 loss: 1.2833 2022/08/04 00:35:51 - mmengine - INFO - Epoch(train) [68][100/1879] lr: 1.0000e-02 eta: 1 day, 18:34:34 time: 0.4240 data_time: 0.0132 memory: 17087 grad_norm: 5.1234 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3273 loss: 1.3273 2022/08/04 00:35:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 00:35:59 - mmengine - INFO - Epoch(train) [68][120/1879] lr: 1.0000e-02 eta: 1 day, 18:34:25 time: 0.4284 data_time: 0.0152 memory: 17087 grad_norm: 4.9806 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5368 loss: 1.5368 2022/08/04 00:36:08 - mmengine - INFO - Epoch(train) [68][140/1879] lr: 1.0000e-02 eta: 1 day, 18:34:16 time: 0.4243 data_time: 0.0132 memory: 17087 grad_norm: 5.0212 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4389 loss: 1.4389 2022/08/04 00:36:16 - mmengine - INFO - Epoch(train) [68][160/1879] lr: 1.0000e-02 eta: 1 day, 18:34:08 time: 0.4280 data_time: 0.0182 memory: 17087 grad_norm: 5.0287 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3189 loss: 1.3189 2022/08/04 00:36:25 - mmengine - INFO - Epoch(train) [68][180/1879] lr: 1.0000e-02 eta: 1 day, 18:33:59 time: 0.4320 data_time: 0.0195 memory: 17087 grad_norm: 5.2627 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.8512 loss: 1.8512 2022/08/04 00:36:34 - mmengine - INFO - Epoch(train) [68][200/1879] lr: 1.0000e-02 eta: 1 day, 18:33:50 time: 0.4335 data_time: 0.0184 memory: 17087 grad_norm: 5.0273 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6963 loss: 1.6963 2022/08/04 00:36:42 - mmengine - INFO - Epoch(train) [68][220/1879] lr: 1.0000e-02 eta: 1 day, 18:33:41 time: 0.4246 data_time: 0.0134 memory: 17087 grad_norm: 5.1834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3926 loss: 1.3926 2022/08/04 00:36:51 - mmengine - INFO - Epoch(train) [68][240/1879] lr: 1.0000e-02 eta: 1 day, 18:33:32 time: 0.4255 data_time: 0.0148 memory: 17087 grad_norm: 5.3285 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5705 loss: 1.5705 2022/08/04 00:37:00 - mmengine - INFO - Epoch(train) [68][260/1879] lr: 1.0000e-02 eta: 1 day, 18:33:25 time: 0.4598 data_time: 0.0157 memory: 17087 grad_norm: 5.2687 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7594 loss: 1.7594 2022/08/04 00:37:08 - mmengine - INFO - Epoch(train) [68][280/1879] lr: 1.0000e-02 eta: 1 day, 18:33:16 time: 0.4281 data_time: 0.0181 memory: 17087 grad_norm: 5.1307 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5983 loss: 1.5983 2022/08/04 00:37:17 - mmengine - INFO - Epoch(train) [68][300/1879] lr: 1.0000e-02 eta: 1 day, 18:33:08 time: 0.4310 data_time: 0.0145 memory: 17087 grad_norm: 5.2576 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5876 loss: 1.5876 2022/08/04 00:37:26 - mmengine - INFO - Epoch(train) [68][320/1879] lr: 1.0000e-02 eta: 1 day, 18:32:59 time: 0.4273 data_time: 0.0159 memory: 17087 grad_norm: 4.9988 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3824 loss: 1.3824 2022/08/04 00:37:35 - mmengine - INFO - Epoch(train) [68][340/1879] lr: 1.0000e-02 eta: 1 day, 18:32:51 time: 0.4515 data_time: 0.0140 memory: 17087 grad_norm: 4.9498 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6017 loss: 1.6017 2022/08/04 00:37:43 - mmengine - INFO - Epoch(train) [68][360/1879] lr: 1.0000e-02 eta: 1 day, 18:32:42 time: 0.4258 data_time: 0.0166 memory: 17087 grad_norm: 5.2329 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5005 loss: 1.5005 2022/08/04 00:37:52 - mmengine - INFO - Epoch(train) [68][380/1879] lr: 1.0000e-02 eta: 1 day, 18:32:33 time: 0.4250 data_time: 0.0148 memory: 17087 grad_norm: 5.0589 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5201 loss: 1.5201 2022/08/04 00:38:00 - mmengine - INFO - Epoch(train) [68][400/1879] lr: 1.0000e-02 eta: 1 day, 18:32:25 time: 0.4350 data_time: 0.0190 memory: 17087 grad_norm: 4.9982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5735 loss: 1.5735 2022/08/04 00:38:09 - mmengine - INFO - Epoch(train) [68][420/1879] lr: 1.0000e-02 eta: 1 day, 18:32:16 time: 0.4249 data_time: 0.0134 memory: 17087 grad_norm: 5.3224 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5091 loss: 1.5091 2022/08/04 00:38:18 - mmengine - INFO - Epoch(train) [68][440/1879] lr: 1.0000e-02 eta: 1 day, 18:32:08 time: 0.4384 data_time: 0.0162 memory: 17087 grad_norm: 5.2645 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4613 loss: 1.4613 2022/08/04 00:38:26 - mmengine - INFO - Epoch(train) [68][460/1879] lr: 1.0000e-02 eta: 1 day, 18:31:59 time: 0.4258 data_time: 0.0136 memory: 17087 grad_norm: 5.1669 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4557 loss: 1.4557 2022/08/04 00:38:35 - mmengine - INFO - Epoch(train) [68][480/1879] lr: 1.0000e-02 eta: 1 day, 18:31:51 time: 0.4536 data_time: 0.0165 memory: 17087 grad_norm: 5.1114 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4322 loss: 1.4322 2022/08/04 00:38:44 - mmengine - INFO - Epoch(train) [68][500/1879] lr: 1.0000e-02 eta: 1 day, 18:31:42 time: 0.4256 data_time: 0.0146 memory: 17087 grad_norm: 5.1004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5375 loss: 1.5375 2022/08/04 00:38:52 - mmengine - INFO - Epoch(train) [68][520/1879] lr: 1.0000e-02 eta: 1 day, 18:31:33 time: 0.4252 data_time: 0.0154 memory: 17087 grad_norm: 5.0082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6001 loss: 1.6001 2022/08/04 00:39:01 - mmengine - INFO - Epoch(train) [68][540/1879] lr: 1.0000e-02 eta: 1 day, 18:31:25 time: 0.4329 data_time: 0.0154 memory: 17087 grad_norm: 5.2041 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5011 loss: 1.5011 2022/08/04 00:39:09 - mmengine - INFO - Epoch(train) [68][560/1879] lr: 1.0000e-02 eta: 1 day, 18:31:16 time: 0.4275 data_time: 0.0166 memory: 17087 grad_norm: 5.0393 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5578 loss: 1.5578 2022/08/04 00:39:18 - mmengine - INFO - Epoch(train) [68][580/1879] lr: 1.0000e-02 eta: 1 day, 18:31:08 time: 0.4370 data_time: 0.0189 memory: 17087 grad_norm: 5.1772 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4513 loss: 1.4513 2022/08/04 00:39:27 - mmengine - INFO - Epoch(train) [68][600/1879] lr: 1.0000e-02 eta: 1 day, 18:30:59 time: 0.4256 data_time: 0.0170 memory: 17087 grad_norm: 5.1155 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7009 loss: 1.7009 2022/08/04 00:39:35 - mmengine - INFO - Epoch(train) [68][620/1879] lr: 1.0000e-02 eta: 1 day, 18:30:50 time: 0.4377 data_time: 0.0164 memory: 17087 grad_norm: 5.1895 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4952 loss: 1.4952 2022/08/04 00:39:44 - mmengine - INFO - Epoch(train) [68][640/1879] lr: 1.0000e-02 eta: 1 day, 18:30:42 time: 0.4311 data_time: 0.0208 memory: 17087 grad_norm: 5.1507 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4701 loss: 1.4701 2022/08/04 00:39:53 - mmengine - INFO - Epoch(train) [68][660/1879] lr: 1.0000e-02 eta: 1 day, 18:30:33 time: 0.4307 data_time: 0.0149 memory: 17087 grad_norm: 5.2317 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6710 loss: 1.6710 2022/08/04 00:40:01 - mmengine - INFO - Epoch(train) [68][680/1879] lr: 1.0000e-02 eta: 1 day, 18:30:24 time: 0.4244 data_time: 0.0151 memory: 17087 grad_norm: 5.1850 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7709 loss: 1.7709 2022/08/04 00:40:10 - mmengine - INFO - Epoch(train) [68][700/1879] lr: 1.0000e-02 eta: 1 day, 18:30:15 time: 0.4366 data_time: 0.0152 memory: 17087 grad_norm: 5.0746 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6220 loss: 1.6220 2022/08/04 00:40:19 - mmengine - INFO - Epoch(train) [68][720/1879] lr: 1.0000e-02 eta: 1 day, 18:30:07 time: 0.4274 data_time: 0.0166 memory: 17087 grad_norm: 5.2227 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5095 loss: 1.5095 2022/08/04 00:40:27 - mmengine - INFO - Epoch(train) [68][740/1879] lr: 1.0000e-02 eta: 1 day, 18:29:58 time: 0.4273 data_time: 0.0153 memory: 17087 grad_norm: 5.2999 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5307 loss: 1.5307 2022/08/04 00:40:36 - mmengine - INFO - Epoch(train) [68][760/1879] lr: 1.0000e-02 eta: 1 day, 18:29:49 time: 0.4296 data_time: 0.0162 memory: 17087 grad_norm: 5.4024 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7239 loss: 1.7239 2022/08/04 00:40:45 - mmengine - INFO - Epoch(train) [68][780/1879] lr: 1.0000e-02 eta: 1 day, 18:29:41 time: 0.4406 data_time: 0.0134 memory: 17087 grad_norm: 5.2573 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5547 loss: 1.5547 2022/08/04 00:40:53 - mmengine - INFO - Epoch(train) [68][800/1879] lr: 1.0000e-02 eta: 1 day, 18:29:32 time: 0.4336 data_time: 0.0201 memory: 17087 grad_norm: 5.1928 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5625 loss: 1.5625 2022/08/04 00:41:02 - mmengine - INFO - Epoch(train) [68][820/1879] lr: 1.0000e-02 eta: 1 day, 18:29:23 time: 0.4244 data_time: 0.0145 memory: 17087 grad_norm: 5.1946 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6730 loss: 1.6730 2022/08/04 00:41:10 - mmengine - INFO - Epoch(train) [68][840/1879] lr: 1.0000e-02 eta: 1 day, 18:29:15 time: 0.4312 data_time: 0.0164 memory: 17087 grad_norm: 5.2198 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7009 loss: 1.7009 2022/08/04 00:41:19 - mmengine - INFO - Epoch(train) [68][860/1879] lr: 1.0000e-02 eta: 1 day, 18:29:06 time: 0.4247 data_time: 0.0139 memory: 17087 grad_norm: 5.0545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3257 loss: 1.3257 2022/08/04 00:41:28 - mmengine - INFO - Epoch(train) [68][880/1879] lr: 1.0000e-02 eta: 1 day, 18:28:58 time: 0.4529 data_time: 0.0172 memory: 17087 grad_norm: 5.1989 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5253 loss: 1.5253 2022/08/04 00:41:36 - mmengine - INFO - Epoch(train) [68][900/1879] lr: 1.0000e-02 eta: 1 day, 18:28:49 time: 0.4247 data_time: 0.0130 memory: 17087 grad_norm: 5.1062 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5651 loss: 1.5651 2022/08/04 00:41:46 - mmengine - INFO - Epoch(train) [68][920/1879] lr: 1.0000e-02 eta: 1 day, 18:28:42 time: 0.4573 data_time: 0.0163 memory: 17087 grad_norm: 5.0494 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6073 loss: 1.6073 2022/08/04 00:41:54 - mmengine - INFO - Epoch(train) [68][940/1879] lr: 1.0000e-02 eta: 1 day, 18:28:33 time: 0.4242 data_time: 0.0143 memory: 17087 grad_norm: 5.1580 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.8270 loss: 1.8270 2022/08/04 00:42:03 - mmengine - INFO - Epoch(train) [68][960/1879] lr: 1.0000e-02 eta: 1 day, 18:28:24 time: 0.4247 data_time: 0.0161 memory: 17087 grad_norm: 5.1284 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6713 loss: 1.6713 2022/08/04 00:42:11 - mmengine - INFO - Epoch(train) [68][980/1879] lr: 1.0000e-02 eta: 1 day, 18:28:15 time: 0.4278 data_time: 0.0144 memory: 17087 grad_norm: 5.1799 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4230 loss: 1.4230 2022/08/04 00:42:20 - mmengine - INFO - Epoch(train) [68][1000/1879] lr: 1.0000e-02 eta: 1 day, 18:28:06 time: 0.4265 data_time: 0.0158 memory: 17087 grad_norm: 5.1115 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5811 loss: 1.5811 2022/08/04 00:42:29 - mmengine - INFO - Epoch(train) [68][1020/1879] lr: 1.0000e-02 eta: 1 day, 18:27:58 time: 0.4491 data_time: 0.0133 memory: 17087 grad_norm: 5.0426 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4021 loss: 1.4021 2022/08/04 00:42:37 - mmengine - INFO - Epoch(train) [68][1040/1879] lr: 1.0000e-02 eta: 1 day, 18:27:50 time: 0.4283 data_time: 0.0175 memory: 17087 grad_norm: 5.1350 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3841 loss: 1.3841 2022/08/04 00:42:46 - mmengine - INFO - Epoch(train) [68][1060/1879] lr: 1.0000e-02 eta: 1 day, 18:27:42 time: 0.4532 data_time: 0.0181 memory: 17087 grad_norm: 5.2096 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4312 loss: 1.4312 2022/08/04 00:42:55 - mmengine - INFO - Epoch(train) [68][1080/1879] lr: 1.0000e-02 eta: 1 day, 18:27:33 time: 0.4264 data_time: 0.0154 memory: 17087 grad_norm: 5.1907 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4156 loss: 1.4156 2022/08/04 00:43:04 - mmengine - INFO - Epoch(train) [68][1100/1879] lr: 1.0000e-02 eta: 1 day, 18:27:25 time: 0.4379 data_time: 0.0149 memory: 17087 grad_norm: 4.9542 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6457 loss: 1.6457 2022/08/04 00:43:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 00:43:12 - mmengine - INFO - Epoch(train) [68][1120/1879] lr: 1.0000e-02 eta: 1 day, 18:27:16 time: 0.4280 data_time: 0.0161 memory: 17087 grad_norm: 5.1945 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6150 loss: 1.6150 2022/08/04 00:43:21 - mmengine - INFO - Epoch(train) [68][1140/1879] lr: 1.0000e-02 eta: 1 day, 18:27:07 time: 0.4244 data_time: 0.0142 memory: 17087 grad_norm: 5.1545 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3810 loss: 1.3810 2022/08/04 00:43:29 - mmengine - INFO - Epoch(train) [68][1160/1879] lr: 1.0000e-02 eta: 1 day, 18:26:59 time: 0.4348 data_time: 0.0183 memory: 17087 grad_norm: 5.1863 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6688 loss: 1.6688 2022/08/04 00:43:38 - mmengine - INFO - Epoch(train) [68][1180/1879] lr: 1.0000e-02 eta: 1 day, 18:26:50 time: 0.4251 data_time: 0.0159 memory: 17087 grad_norm: 5.1731 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5808 loss: 1.5808 2022/08/04 00:43:47 - mmengine - INFO - Epoch(train) [68][1200/1879] lr: 1.0000e-02 eta: 1 day, 18:26:41 time: 0.4318 data_time: 0.0176 memory: 17087 grad_norm: 5.0354 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4944 loss: 1.4944 2022/08/04 00:43:55 - mmengine - INFO - Epoch(train) [68][1220/1879] lr: 1.0000e-02 eta: 1 day, 18:26:32 time: 0.4309 data_time: 0.0143 memory: 17087 grad_norm: 5.1814 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4985 loss: 1.4985 2022/08/04 00:44:04 - mmengine - INFO - Epoch(train) [68][1240/1879] lr: 1.0000e-02 eta: 1 day, 18:26:25 time: 0.4532 data_time: 0.0169 memory: 17087 grad_norm: 5.0809 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5708 loss: 1.5708 2022/08/04 00:44:13 - mmengine - INFO - Epoch(train) [68][1260/1879] lr: 1.0000e-02 eta: 1 day, 18:26:16 time: 0.4251 data_time: 0.0144 memory: 17087 grad_norm: 5.0685 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4470 loss: 1.4470 2022/08/04 00:44:21 - mmengine - INFO - Epoch(train) [68][1280/1879] lr: 1.0000e-02 eta: 1 day, 18:26:07 time: 0.4258 data_time: 0.0149 memory: 17087 grad_norm: 5.1718 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5964 loss: 1.5964 2022/08/04 00:44:30 - mmengine - INFO - Epoch(train) [68][1300/1879] lr: 1.0000e-02 eta: 1 day, 18:25:58 time: 0.4358 data_time: 0.0165 memory: 17087 grad_norm: 5.0943 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6086 loss: 1.6086 2022/08/04 00:44:39 - mmengine - INFO - Epoch(train) [68][1320/1879] lr: 1.0000e-02 eta: 1 day, 18:25:50 time: 0.4275 data_time: 0.0156 memory: 17087 grad_norm: 5.2028 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7214 loss: 1.7214 2022/08/04 00:44:47 - mmengine - INFO - Epoch(train) [68][1340/1879] lr: 1.0000e-02 eta: 1 day, 18:25:41 time: 0.4351 data_time: 0.0153 memory: 17087 grad_norm: 5.2610 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7576 loss: 1.7576 2022/08/04 00:44:56 - mmengine - INFO - Epoch(train) [68][1360/1879] lr: 1.0000e-02 eta: 1 day, 18:25:32 time: 0.4262 data_time: 0.0157 memory: 17087 grad_norm: 5.1728 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5981 loss: 1.5981 2022/08/04 00:45:05 - mmengine - INFO - Epoch(train) [68][1380/1879] lr: 1.0000e-02 eta: 1 day, 18:25:25 time: 0.4514 data_time: 0.0151 memory: 17087 grad_norm: 5.0679 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4152 loss: 1.4152 2022/08/04 00:45:13 - mmengine - INFO - Epoch(train) [68][1400/1879] lr: 1.0000e-02 eta: 1 day, 18:25:16 time: 0.4261 data_time: 0.0161 memory: 17087 grad_norm: 5.3063 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4447 loss: 1.4447 2022/08/04 00:45:22 - mmengine - INFO - Epoch(train) [68][1420/1879] lr: 1.0000e-02 eta: 1 day, 18:25:07 time: 0.4262 data_time: 0.0162 memory: 17087 grad_norm: 5.1975 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4428 loss: 1.4428 2022/08/04 00:45:31 - mmengine - INFO - Epoch(train) [68][1440/1879] lr: 1.0000e-02 eta: 1 day, 18:24:58 time: 0.4369 data_time: 0.0166 memory: 17087 grad_norm: 5.1842 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6265 loss: 1.6265 2022/08/04 00:45:39 - mmengine - INFO - Epoch(train) [68][1460/1879] lr: 1.0000e-02 eta: 1 day, 18:24:49 time: 0.4266 data_time: 0.0145 memory: 17087 grad_norm: 5.2102 top1_acc: 0.2500 top5_acc: 0.5625 loss_cls: 1.7548 loss: 1.7548 2022/08/04 00:45:48 - mmengine - INFO - Epoch(train) [68][1480/1879] lr: 1.0000e-02 eta: 1 day, 18:24:41 time: 0.4301 data_time: 0.0172 memory: 17087 grad_norm: 5.0073 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5409 loss: 1.5409 2022/08/04 00:45:56 - mmengine - INFO - Epoch(train) [68][1500/1879] lr: 1.0000e-02 eta: 1 day, 18:24:32 time: 0.4245 data_time: 0.0136 memory: 17087 grad_norm: 5.0255 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4684 loss: 1.4684 2022/08/04 00:46:05 - mmengine - INFO - Epoch(train) [68][1520/1879] lr: 1.0000e-02 eta: 1 day, 18:24:24 time: 0.4559 data_time: 0.0166 memory: 17087 grad_norm: 5.0763 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5219 loss: 1.5219 2022/08/04 00:46:14 - mmengine - INFO - Epoch(train) [68][1540/1879] lr: 1.0000e-02 eta: 1 day, 18:24:15 time: 0.4259 data_time: 0.0145 memory: 17087 grad_norm: 5.0279 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6580 loss: 1.6580 2022/08/04 00:46:22 - mmengine - INFO - Epoch(train) [68][1560/1879] lr: 1.0000e-02 eta: 1 day, 18:24:06 time: 0.4260 data_time: 0.0152 memory: 17087 grad_norm: 5.3191 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6188 loss: 1.6188 2022/08/04 00:46:31 - mmengine - INFO - Epoch(train) [68][1580/1879] lr: 1.0000e-02 eta: 1 day, 18:23:58 time: 0.4355 data_time: 0.0135 memory: 17087 grad_norm: 5.1543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5492 loss: 1.5492 2022/08/04 00:46:40 - mmengine - INFO - Epoch(train) [68][1600/1879] lr: 1.0000e-02 eta: 1 day, 18:23:49 time: 0.4269 data_time: 0.0155 memory: 17087 grad_norm: 5.0671 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5917 loss: 1.5917 2022/08/04 00:46:48 - mmengine - INFO - Epoch(train) [68][1620/1879] lr: 1.0000e-02 eta: 1 day, 18:23:40 time: 0.4289 data_time: 0.0159 memory: 17087 grad_norm: 5.0191 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7137 loss: 1.7137 2022/08/04 00:46:57 - mmengine - INFO - Epoch(train) [68][1640/1879] lr: 1.0000e-02 eta: 1 day, 18:23:32 time: 0.4275 data_time: 0.0164 memory: 17087 grad_norm: 5.1678 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4332 loss: 1.4332 2022/08/04 00:47:06 - mmengine - INFO - Epoch(train) [68][1660/1879] lr: 1.0000e-02 eta: 1 day, 18:23:24 time: 0.4458 data_time: 0.0139 memory: 17087 grad_norm: 5.1646 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5899 loss: 1.5899 2022/08/04 00:47:14 - mmengine - INFO - Epoch(train) [68][1680/1879] lr: 1.0000e-02 eta: 1 day, 18:23:15 time: 0.4330 data_time: 0.0204 memory: 17087 grad_norm: 5.2834 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4891 loss: 1.4891 2022/08/04 00:47:23 - mmengine - INFO - Epoch(train) [68][1700/1879] lr: 1.0000e-02 eta: 1 day, 18:23:06 time: 0.4256 data_time: 0.0135 memory: 17087 grad_norm: 5.0773 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5927 loss: 1.5927 2022/08/04 00:47:32 - mmengine - INFO - Epoch(train) [68][1720/1879] lr: 1.0000e-02 eta: 1 day, 18:22:57 time: 0.4259 data_time: 0.0156 memory: 17087 grad_norm: 5.2750 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5845 loss: 1.5845 2022/08/04 00:47:40 - mmengine - INFO - Epoch(train) [68][1740/1879] lr: 1.0000e-02 eta: 1 day, 18:22:48 time: 0.4298 data_time: 0.0139 memory: 17087 grad_norm: 5.0510 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5113 loss: 1.5113 2022/08/04 00:47:49 - mmengine - INFO - Epoch(train) [68][1760/1879] lr: 1.0000e-02 eta: 1 day, 18:22:39 time: 0.4265 data_time: 0.0154 memory: 17087 grad_norm: 5.1128 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3668 loss: 1.3668 2022/08/04 00:47:57 - mmengine - INFO - Epoch(train) [68][1780/1879] lr: 1.0000e-02 eta: 1 day, 18:22:31 time: 0.4375 data_time: 0.0163 memory: 17087 grad_norm: 5.1000 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5789 loss: 1.5789 2022/08/04 00:48:06 - mmengine - INFO - Epoch(train) [68][1800/1879] lr: 1.0000e-02 eta: 1 day, 18:22:22 time: 0.4265 data_time: 0.0163 memory: 17087 grad_norm: 4.9829 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6804 loss: 1.6804 2022/08/04 00:48:15 - mmengine - INFO - Epoch(train) [68][1820/1879] lr: 1.0000e-02 eta: 1 day, 18:22:14 time: 0.4361 data_time: 0.0154 memory: 17087 grad_norm: 5.2038 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4847 loss: 1.4847 2022/08/04 00:48:23 - mmengine - INFO - Epoch(train) [68][1840/1879] lr: 1.0000e-02 eta: 1 day, 18:22:05 time: 0.4265 data_time: 0.0157 memory: 17087 grad_norm: 5.1214 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5557 loss: 1.5557 2022/08/04 00:48:32 - mmengine - INFO - Epoch(train) [68][1860/1879] lr: 1.0000e-02 eta: 1 day, 18:21:56 time: 0.4232 data_time: 0.0132 memory: 17087 grad_norm: 5.0946 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5508 loss: 1.5508 2022/08/04 00:48:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 00:48:40 - mmengine - INFO - Epoch(train) [68][1879/1879] lr: 1.0000e-02 eta: 1 day, 18:21:56 time: 0.4293 data_time: 0.0160 memory: 17087 grad_norm: 5.1609 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.3057 loss: 1.3057 2022/08/04 00:48:40 - mmengine - INFO - Saving checkpoint at 68 epochs 2022/08/04 00:48:53 - mmengine - INFO - Epoch(train) [69][20/1879] lr: 1.0000e-02 eta: 1 day, 18:21:20 time: 0.5028 data_time: 0.0910 memory: 17087 grad_norm: 5.1662 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3753 loss: 1.3753 2022/08/04 00:49:02 - mmengine - INFO - Epoch(train) [69][40/1879] lr: 1.0000e-02 eta: 1 day, 18:21:11 time: 0.4292 data_time: 0.0184 memory: 17087 grad_norm: 5.0416 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5842 loss: 1.5842 2022/08/04 00:49:10 - mmengine - INFO - Epoch(train) [69][60/1879] lr: 1.0000e-02 eta: 1 day, 18:21:02 time: 0.4244 data_time: 0.0142 memory: 17087 grad_norm: 5.0440 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4749 loss: 1.4749 2022/08/04 00:49:19 - mmengine - INFO - Epoch(train) [69][80/1879] lr: 1.0000e-02 eta: 1 day, 18:20:54 time: 0.4332 data_time: 0.0176 memory: 17087 grad_norm: 5.1005 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4041 loss: 1.4041 2022/08/04 00:49:28 - mmengine - INFO - Epoch(train) [69][100/1879] lr: 1.0000e-02 eta: 1 day, 18:20:45 time: 0.4259 data_time: 0.0151 memory: 17087 grad_norm: 5.2193 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7036 loss: 1.7036 2022/08/04 00:49:37 - mmengine - INFO - Epoch(train) [69][120/1879] lr: 1.0000e-02 eta: 1 day, 18:20:37 time: 0.4456 data_time: 0.0175 memory: 17087 grad_norm: 5.2117 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6911 loss: 1.6911 2022/08/04 00:49:45 - mmengine - INFO - Epoch(train) [69][140/1879] lr: 1.0000e-02 eta: 1 day, 18:20:28 time: 0.4305 data_time: 0.0205 memory: 17087 grad_norm: 5.1551 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5389 loss: 1.5389 2022/08/04 00:49:54 - mmengine - INFO - Epoch(train) [69][160/1879] lr: 1.0000e-02 eta: 1 day, 18:20:20 time: 0.4348 data_time: 0.0167 memory: 17087 grad_norm: 5.2886 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4937 loss: 1.4937 2022/08/04 00:50:02 - mmengine - INFO - Epoch(train) [69][180/1879] lr: 1.0000e-02 eta: 1 day, 18:20:11 time: 0.4259 data_time: 0.0159 memory: 17087 grad_norm: 5.1938 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4316 loss: 1.4316 2022/08/04 00:50:11 - mmengine - INFO - Epoch(train) [69][200/1879] lr: 1.0000e-02 eta: 1 day, 18:20:02 time: 0.4273 data_time: 0.0162 memory: 17087 grad_norm: 5.3672 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6173 loss: 1.6173 2022/08/04 00:50:20 - mmengine - INFO - Epoch(train) [69][220/1879] lr: 1.0000e-02 eta: 1 day, 18:19:55 time: 0.4593 data_time: 0.0147 memory: 17087 grad_norm: 5.2110 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4550 loss: 1.4550 2022/08/04 00:50:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 00:50:29 - mmengine - INFO - Epoch(train) [69][240/1879] lr: 1.0000e-02 eta: 1 day, 18:19:46 time: 0.4281 data_time: 0.0166 memory: 17087 grad_norm: 5.1297 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5627 loss: 1.5627 2022/08/04 00:50:37 - mmengine - INFO - Epoch(train) [69][260/1879] lr: 1.0000e-02 eta: 1 day, 18:19:38 time: 0.4375 data_time: 0.0210 memory: 17087 grad_norm: 5.1752 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4509 loss: 1.4509 2022/08/04 00:50:46 - mmengine - INFO - Epoch(train) [69][280/1879] lr: 1.0000e-02 eta: 1 day, 18:19:29 time: 0.4265 data_time: 0.0168 memory: 17087 grad_norm: 5.2913 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4211 loss: 1.4211 2022/08/04 00:50:55 - mmengine - INFO - Epoch(train) [69][300/1879] lr: 1.0000e-02 eta: 1 day, 18:19:22 time: 0.4563 data_time: 0.0156 memory: 17087 grad_norm: 5.1640 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3283 loss: 1.3283 2022/08/04 00:51:04 - mmengine - INFO - Epoch(train) [69][320/1879] lr: 1.0000e-02 eta: 1 day, 18:19:13 time: 0.4260 data_time: 0.0156 memory: 17087 grad_norm: 5.1720 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3416 loss: 1.3416 2022/08/04 00:51:12 - mmengine - INFO - Epoch(train) [69][340/1879] lr: 1.0000e-02 eta: 1 day, 18:19:04 time: 0.4257 data_time: 0.0140 memory: 17087 grad_norm: 5.0733 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5463 loss: 1.5463 2022/08/04 00:51:21 - mmengine - INFO - Epoch(train) [69][360/1879] lr: 1.0000e-02 eta: 1 day, 18:18:56 time: 0.4393 data_time: 0.0158 memory: 17087 grad_norm: 5.0479 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5036 loss: 1.5036 2022/08/04 00:51:30 - mmengine - INFO - Epoch(train) [69][380/1879] lr: 1.0000e-02 eta: 1 day, 18:18:47 time: 0.4304 data_time: 0.0180 memory: 17087 grad_norm: 5.1527 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4942 loss: 1.4942 2022/08/04 00:51:38 - mmengine - INFO - Epoch(train) [69][400/1879] lr: 1.0000e-02 eta: 1 day, 18:18:39 time: 0.4410 data_time: 0.0170 memory: 17087 grad_norm: 5.0794 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5115 loss: 1.5115 2022/08/04 00:51:47 - mmengine - INFO - Epoch(train) [69][420/1879] lr: 1.0000e-02 eta: 1 day, 18:18:30 time: 0.4310 data_time: 0.0147 memory: 17087 grad_norm: 5.0518 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6724 loss: 1.6724 2022/08/04 00:51:56 - mmengine - INFO - Epoch(train) [69][440/1879] lr: 1.0000e-02 eta: 1 day, 18:18:21 time: 0.4306 data_time: 0.0175 memory: 17087 grad_norm: 5.2434 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4827 loss: 1.4827 2022/08/04 00:52:04 - mmengine - INFO - Epoch(train) [69][460/1879] lr: 1.0000e-02 eta: 1 day, 18:18:13 time: 0.4318 data_time: 0.0169 memory: 17087 grad_norm: 5.2028 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4352 loss: 1.4352 2022/08/04 00:52:13 - mmengine - INFO - Epoch(train) [69][480/1879] lr: 1.0000e-02 eta: 1 day, 18:18:04 time: 0.4271 data_time: 0.0161 memory: 17087 grad_norm: 5.2244 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6325 loss: 1.6325 2022/08/04 00:52:22 - mmengine - INFO - Epoch(train) [69][500/1879] lr: 1.0000e-02 eta: 1 day, 18:17:56 time: 0.4531 data_time: 0.0166 memory: 17087 grad_norm: 5.0962 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4735 loss: 1.4735 2022/08/04 00:52:31 - mmengine - INFO - Epoch(train) [69][520/1879] lr: 1.0000e-02 eta: 1 day, 18:17:48 time: 0.4283 data_time: 0.0175 memory: 17087 grad_norm: 5.2300 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6219 loss: 1.6219 2022/08/04 00:52:39 - mmengine - INFO - Epoch(train) [69][540/1879] lr: 1.0000e-02 eta: 1 day, 18:17:39 time: 0.4302 data_time: 0.0153 memory: 17087 grad_norm: 5.2081 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6961 loss: 1.6961 2022/08/04 00:52:48 - mmengine - INFO - Epoch(train) [69][560/1879] lr: 1.0000e-02 eta: 1 day, 18:17:31 time: 0.4391 data_time: 0.0164 memory: 17087 grad_norm: 5.1029 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5214 loss: 1.5214 2022/08/04 00:52:57 - mmengine - INFO - Epoch(train) [69][580/1879] lr: 1.0000e-02 eta: 1 day, 18:17:23 time: 0.4450 data_time: 0.0157 memory: 17087 grad_norm: 5.0896 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5871 loss: 1.5871 2022/08/04 00:53:06 - mmengine - INFO - Epoch(train) [69][600/1879] lr: 1.0000e-02 eta: 1 day, 18:17:14 time: 0.4343 data_time: 0.0210 memory: 17087 grad_norm: 5.1904 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7273 loss: 1.7273 2022/08/04 00:53:16 - mmengine - INFO - Epoch(train) [69][620/1879] lr: 1.0000e-02 eta: 1 day, 18:17:10 time: 0.5036 data_time: 0.0143 memory: 17087 grad_norm: 5.0690 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5649 loss: 1.5649 2022/08/04 00:53:25 - mmengine - INFO - Epoch(train) [69][640/1879] lr: 1.0000e-02 eta: 1 day, 18:17:02 time: 0.4477 data_time: 0.0338 memory: 17087 grad_norm: 5.1888 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5859 loss: 1.5859 2022/08/04 00:53:33 - mmengine - INFO - Epoch(train) [69][660/1879] lr: 1.0000e-02 eta: 1 day, 18:16:53 time: 0.4243 data_time: 0.0124 memory: 17087 grad_norm: 5.0448 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6838 loss: 1.6838 2022/08/04 00:53:42 - mmengine - INFO - Epoch(train) [69][680/1879] lr: 1.0000e-02 eta: 1 day, 18:16:44 time: 0.4297 data_time: 0.0152 memory: 17087 grad_norm: 5.3229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6776 loss: 1.6776 2022/08/04 00:53:50 - mmengine - INFO - Epoch(train) [69][700/1879] lr: 1.0000e-02 eta: 1 day, 18:16:35 time: 0.4280 data_time: 0.0146 memory: 17087 grad_norm: 5.0831 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6205 loss: 1.6205 2022/08/04 00:53:59 - mmengine - INFO - Epoch(train) [69][720/1879] lr: 1.0000e-02 eta: 1 day, 18:16:26 time: 0.4303 data_time: 0.0189 memory: 17087 grad_norm: 5.1688 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5930 loss: 1.5930 2022/08/04 00:54:07 - mmengine - INFO - Epoch(train) [69][740/1879] lr: 1.0000e-02 eta: 1 day, 18:16:18 time: 0.4278 data_time: 0.0140 memory: 17087 grad_norm: 5.1586 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6336 loss: 1.6336 2022/08/04 00:54:16 - mmengine - INFO - Epoch(train) [69][760/1879] lr: 1.0000e-02 eta: 1 day, 18:16:09 time: 0.4327 data_time: 0.0198 memory: 17087 grad_norm: 4.9120 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3901 loss: 1.3901 2022/08/04 00:54:25 - mmengine - INFO - Epoch(train) [69][780/1879] lr: 1.0000e-02 eta: 1 day, 18:16:00 time: 0.4264 data_time: 0.0149 memory: 17087 grad_norm: 5.0825 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5014 loss: 1.5014 2022/08/04 00:54:33 - mmengine - INFO - Epoch(train) [69][800/1879] lr: 1.0000e-02 eta: 1 day, 18:15:51 time: 0.4268 data_time: 0.0171 memory: 17087 grad_norm: 5.1582 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5723 loss: 1.5723 2022/08/04 00:54:42 - mmengine - INFO - Epoch(train) [69][820/1879] lr: 1.0000e-02 eta: 1 day, 18:15:43 time: 0.4439 data_time: 0.0130 memory: 17087 grad_norm: 5.1004 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3648 loss: 1.3648 2022/08/04 00:54:51 - mmengine - INFO - Epoch(train) [69][840/1879] lr: 1.0000e-02 eta: 1 day, 18:15:34 time: 0.4271 data_time: 0.0157 memory: 17087 grad_norm: 4.9827 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5376 loss: 1.5376 2022/08/04 00:55:00 - mmengine - INFO - Epoch(train) [69][860/1879] lr: 1.0000e-02 eta: 1 day, 18:15:27 time: 0.4508 data_time: 0.0134 memory: 17087 grad_norm: 5.0940 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4784 loss: 1.4784 2022/08/04 00:55:08 - mmengine - INFO - Epoch(train) [69][880/1879] lr: 1.0000e-02 eta: 1 day, 18:15:18 time: 0.4311 data_time: 0.0204 memory: 17087 grad_norm: 5.0299 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6050 loss: 1.6050 2022/08/04 00:55:17 - mmengine - INFO - Epoch(train) [69][900/1879] lr: 1.0000e-02 eta: 1 day, 18:15:09 time: 0.4275 data_time: 0.0153 memory: 17087 grad_norm: 5.1265 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6374 loss: 1.6374 2022/08/04 00:55:25 - mmengine - INFO - Epoch(train) [69][920/1879] lr: 1.0000e-02 eta: 1 day, 18:15:01 time: 0.4317 data_time: 0.0152 memory: 17087 grad_norm: 5.0858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7193 loss: 1.7193 2022/08/04 00:55:34 - mmengine - INFO - Epoch(train) [69][940/1879] lr: 1.0000e-02 eta: 1 day, 18:14:52 time: 0.4248 data_time: 0.0141 memory: 17087 grad_norm: 5.0987 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7494 loss: 1.7494 2022/08/04 00:55:42 - mmengine - INFO - Epoch(train) [69][960/1879] lr: 1.0000e-02 eta: 1 day, 18:14:43 time: 0.4251 data_time: 0.0165 memory: 17087 grad_norm: 5.0791 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5546 loss: 1.5546 2022/08/04 00:55:51 - mmengine - INFO - Epoch(train) [69][980/1879] lr: 1.0000e-02 eta: 1 day, 18:14:34 time: 0.4277 data_time: 0.0164 memory: 17087 grad_norm: 5.2990 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5781 loss: 1.5781 2022/08/04 00:56:00 - mmengine - INFO - Epoch(train) [69][1000/1879] lr: 1.0000e-02 eta: 1 day, 18:14:25 time: 0.4284 data_time: 0.0157 memory: 17087 grad_norm: 5.0532 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5841 loss: 1.5841 2022/08/04 00:56:08 - mmengine - INFO - Epoch(train) [69][1020/1879] lr: 1.0000e-02 eta: 1 day, 18:14:16 time: 0.4331 data_time: 0.0144 memory: 17087 grad_norm: 5.1401 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5981 loss: 1.5981 2022/08/04 00:56:17 - mmengine - INFO - Epoch(train) [69][1040/1879] lr: 1.0000e-02 eta: 1 day, 18:14:08 time: 0.4276 data_time: 0.0172 memory: 17087 grad_norm: 5.0741 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4293 loss: 1.4293 2022/08/04 00:56:26 - mmengine - INFO - Epoch(train) [69][1060/1879] lr: 1.0000e-02 eta: 1 day, 18:14:00 time: 0.4443 data_time: 0.0180 memory: 17087 grad_norm: 5.1177 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6869 loss: 1.6869 2022/08/04 00:56:34 - mmengine - INFO - Epoch(train) [69][1080/1879] lr: 1.0000e-02 eta: 1 day, 18:13:51 time: 0.4279 data_time: 0.0159 memory: 17087 grad_norm: 5.0522 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6635 loss: 1.6635 2022/08/04 00:56:43 - mmengine - INFO - Epoch(train) [69][1100/1879] lr: 1.0000e-02 eta: 1 day, 18:13:42 time: 0.4293 data_time: 0.0178 memory: 17087 grad_norm: 5.2356 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5233 loss: 1.5233 2022/08/04 00:56:51 - mmengine - INFO - Epoch(train) [69][1120/1879] lr: 1.0000e-02 eta: 1 day, 18:13:33 time: 0.4292 data_time: 0.0153 memory: 17087 grad_norm: 5.1920 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.7577 loss: 1.7577 2022/08/04 00:57:00 - mmengine - INFO - Epoch(train) [69][1140/1879] lr: 1.0000e-02 eta: 1 day, 18:13:25 time: 0.4435 data_time: 0.0158 memory: 17087 grad_norm: 5.2751 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.5350 loss: 1.5350 2022/08/04 00:57:09 - mmengine - INFO - Epoch(train) [69][1160/1879] lr: 1.0000e-02 eta: 1 day, 18:13:17 time: 0.4367 data_time: 0.0153 memory: 17087 grad_norm: 5.2213 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5383 loss: 1.5383 2022/08/04 00:57:18 - mmengine - INFO - Epoch(train) [69][1180/1879] lr: 1.0000e-02 eta: 1 day, 18:13:09 time: 0.4377 data_time: 0.0161 memory: 17087 grad_norm: 5.1647 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5331 loss: 1.5331 2022/08/04 00:57:27 - mmengine - INFO - Epoch(train) [69][1200/1879] lr: 1.0000e-02 eta: 1 day, 18:13:00 time: 0.4375 data_time: 0.0162 memory: 17087 grad_norm: 5.2284 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5518 loss: 1.5518 2022/08/04 00:57:36 - mmengine - INFO - Epoch(train) [69][1220/1879] lr: 1.0000e-02 eta: 1 day, 18:12:53 time: 0.4496 data_time: 0.0154 memory: 17087 grad_norm: 5.1313 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4879 loss: 1.4879 2022/08/04 00:57:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 00:57:44 - mmengine - INFO - Epoch(train) [69][1240/1879] lr: 1.0000e-02 eta: 1 day, 18:12:44 time: 0.4256 data_time: 0.0156 memory: 17087 grad_norm: 5.1953 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7730 loss: 1.7730 2022/08/04 00:57:53 - mmengine - INFO - Epoch(train) [69][1260/1879] lr: 1.0000e-02 eta: 1 day, 18:12:35 time: 0.4268 data_time: 0.0155 memory: 17087 grad_norm: 5.2066 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5653 loss: 1.5653 2022/08/04 00:58:01 - mmengine - INFO - Epoch(train) [69][1280/1879] lr: 1.0000e-02 eta: 1 day, 18:12:26 time: 0.4263 data_time: 0.0156 memory: 17087 grad_norm: 5.1629 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3669 loss: 1.3669 2022/08/04 00:58:11 - mmengine - INFO - Epoch(train) [69][1300/1879] lr: 1.0000e-02 eta: 1 day, 18:12:19 time: 0.4681 data_time: 0.0153 memory: 17087 grad_norm: 5.1657 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4689 loss: 1.4689 2022/08/04 00:58:19 - mmengine - INFO - Epoch(train) [69][1320/1879] lr: 1.0000e-02 eta: 1 day, 18:12:10 time: 0.4293 data_time: 0.0171 memory: 17087 grad_norm: 5.1521 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6104 loss: 1.6104 2022/08/04 00:58:29 - mmengine - INFO - Epoch(train) [69][1340/1879] lr: 1.0000e-02 eta: 1 day, 18:12:04 time: 0.4822 data_time: 0.0175 memory: 17087 grad_norm: 5.3364 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7048 loss: 1.7048 2022/08/04 00:58:37 - mmengine - INFO - Epoch(train) [69][1360/1879] lr: 1.0000e-02 eta: 1 day, 18:11:56 time: 0.4259 data_time: 0.0164 memory: 17087 grad_norm: 5.1836 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4840 loss: 1.4840 2022/08/04 00:58:46 - mmengine - INFO - Epoch(train) [69][1380/1879] lr: 1.0000e-02 eta: 1 day, 18:11:48 time: 0.4491 data_time: 0.0151 memory: 17087 grad_norm: 5.0152 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4866 loss: 1.4866 2022/08/04 00:58:55 - mmengine - INFO - Epoch(train) [69][1400/1879] lr: 1.0000e-02 eta: 1 day, 18:11:39 time: 0.4334 data_time: 0.0229 memory: 17087 grad_norm: 5.1114 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5908 loss: 1.5908 2022/08/04 00:59:04 - mmengine - INFO - Epoch(train) [69][1420/1879] lr: 1.0000e-02 eta: 1 day, 18:11:30 time: 0.4249 data_time: 0.0142 memory: 17087 grad_norm: 5.1303 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6112 loss: 1.6112 2022/08/04 00:59:13 - mmengine - INFO - Epoch(train) [69][1440/1879] lr: 1.0000e-02 eta: 1 day, 18:11:23 time: 0.4505 data_time: 0.0160 memory: 17087 grad_norm: 5.1225 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4654 loss: 1.4654 2022/08/04 00:59:21 - mmengine - INFO - Epoch(train) [69][1460/1879] lr: 1.0000e-02 eta: 1 day, 18:11:14 time: 0.4324 data_time: 0.0207 memory: 17087 grad_norm: 5.1000 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6090 loss: 1.6090 2022/08/04 00:59:30 - mmengine - INFO - Epoch(train) [69][1480/1879] lr: 1.0000e-02 eta: 1 day, 18:11:06 time: 0.4470 data_time: 0.0166 memory: 17087 grad_norm: 5.0937 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4494 loss: 1.4494 2022/08/04 00:59:39 - mmengine - INFO - Epoch(train) [69][1500/1879] lr: 1.0000e-02 eta: 1 day, 18:10:57 time: 0.4259 data_time: 0.0146 memory: 17087 grad_norm: 5.1077 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5610 loss: 1.5610 2022/08/04 00:59:48 - mmengine - INFO - Epoch(train) [69][1520/1879] lr: 1.0000e-02 eta: 1 day, 18:10:49 time: 0.4409 data_time: 0.0211 memory: 17087 grad_norm: 5.3320 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6396 loss: 1.6396 2022/08/04 00:59:56 - mmengine - INFO - Epoch(train) [69][1540/1879] lr: 1.0000e-02 eta: 1 day, 18:10:40 time: 0.4267 data_time: 0.0166 memory: 17087 grad_norm: 5.1131 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5905 loss: 1.5905 2022/08/04 01:00:05 - mmengine - INFO - Epoch(train) [69][1560/1879] lr: 1.0000e-02 eta: 1 day, 18:10:32 time: 0.4347 data_time: 0.0187 memory: 17087 grad_norm: 5.1008 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5099 loss: 1.5099 2022/08/04 01:00:13 - mmengine - INFO - Epoch(train) [69][1580/1879] lr: 1.0000e-02 eta: 1 day, 18:10:23 time: 0.4249 data_time: 0.0113 memory: 17087 grad_norm: 5.0996 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6940 loss: 1.6940 2022/08/04 01:00:22 - mmengine - INFO - Epoch(train) [69][1600/1879] lr: 1.0000e-02 eta: 1 day, 18:10:14 time: 0.4279 data_time: 0.0157 memory: 17087 grad_norm: 5.1142 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4965 loss: 1.4965 2022/08/04 01:00:31 - mmengine - INFO - Epoch(train) [69][1620/1879] lr: 1.0000e-02 eta: 1 day, 18:10:05 time: 0.4329 data_time: 0.0159 memory: 17087 grad_norm: 5.1136 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7039 loss: 1.7039 2022/08/04 01:00:39 - mmengine - INFO - Epoch(train) [69][1640/1879] lr: 1.0000e-02 eta: 1 day, 18:09:56 time: 0.4270 data_time: 0.0164 memory: 17087 grad_norm: 5.2927 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6312 loss: 1.6312 2022/08/04 01:00:48 - mmengine - INFO - Epoch(train) [69][1660/1879] lr: 1.0000e-02 eta: 1 day, 18:09:49 time: 0.4521 data_time: 0.0142 memory: 17087 grad_norm: 5.2112 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5377 loss: 1.5377 2022/08/04 01:00:57 - mmengine - INFO - Epoch(train) [69][1680/1879] lr: 1.0000e-02 eta: 1 day, 18:09:40 time: 0.4329 data_time: 0.0172 memory: 17087 grad_norm: 5.2993 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5532 loss: 1.5532 2022/08/04 01:01:05 - mmengine - INFO - Epoch(train) [69][1700/1879] lr: 1.0000e-02 eta: 1 day, 18:09:31 time: 0.4238 data_time: 0.0141 memory: 17087 grad_norm: 5.0874 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4840 loss: 1.4840 2022/08/04 01:01:14 - mmengine - INFO - Epoch(train) [69][1720/1879] lr: 1.0000e-02 eta: 1 day, 18:09:22 time: 0.4278 data_time: 0.0161 memory: 17087 grad_norm: 5.1070 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5695 loss: 1.5695 2022/08/04 01:01:23 - mmengine - INFO - Epoch(train) [69][1740/1879] lr: 1.0000e-02 eta: 1 day, 18:09:15 time: 0.4483 data_time: 0.0144 memory: 17087 grad_norm: 5.2666 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4442 loss: 1.4442 2022/08/04 01:01:31 - mmengine - INFO - Epoch(train) [69][1760/1879] lr: 1.0000e-02 eta: 1 day, 18:09:06 time: 0.4262 data_time: 0.0151 memory: 17087 grad_norm: 4.9104 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4199 loss: 1.4199 2022/08/04 01:01:40 - mmengine - INFO - Epoch(train) [69][1780/1879] lr: 1.0000e-02 eta: 1 day, 18:08:57 time: 0.4263 data_time: 0.0149 memory: 17087 grad_norm: 5.2421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5849 loss: 1.5849 2022/08/04 01:01:48 - mmengine - INFO - Epoch(train) [69][1800/1879] lr: 1.0000e-02 eta: 1 day, 18:08:48 time: 0.4301 data_time: 0.0172 memory: 17087 grad_norm: 4.9792 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3566 loss: 1.3566 2022/08/04 01:01:57 - mmengine - INFO - Epoch(train) [69][1820/1879] lr: 1.0000e-02 eta: 1 day, 18:08:39 time: 0.4236 data_time: 0.0129 memory: 17087 grad_norm: 5.1277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6594 loss: 1.6594 2022/08/04 01:02:06 - mmengine - INFO - Epoch(train) [69][1840/1879] lr: 1.0000e-02 eta: 1 day, 18:08:30 time: 0.4292 data_time: 0.0157 memory: 17087 grad_norm: 5.1686 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3621 loss: 1.3621 2022/08/04 01:02:14 - mmengine - INFO - Epoch(train) [69][1860/1879] lr: 1.0000e-02 eta: 1 day, 18:08:21 time: 0.4228 data_time: 0.0129 memory: 17087 grad_norm: 5.2048 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4927 loss: 1.4927 2022/08/04 01:02:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 01:02:22 - mmengine - INFO - Epoch(train) [69][1879/1879] lr: 1.0000e-02 eta: 1 day, 18:08:21 time: 0.4181 data_time: 0.0157 memory: 17087 grad_norm: 5.1660 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5436 loss: 1.5436 2022/08/04 01:02:33 - mmengine - INFO - Epoch(train) [70][20/1879] lr: 1.0000e-02 eta: 1 day, 18:07:49 time: 0.5517 data_time: 0.1261 memory: 17087 grad_norm: 5.0427 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2490 loss: 1.2490 2022/08/04 01:02:42 - mmengine - INFO - Epoch(train) [70][40/1879] lr: 1.0000e-02 eta: 1 day, 18:07:40 time: 0.4293 data_time: 0.0190 memory: 17087 grad_norm: 5.0662 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4513 loss: 1.4513 2022/08/04 01:02:50 - mmengine - INFO - Epoch(train) [70][60/1879] lr: 1.0000e-02 eta: 1 day, 18:07:31 time: 0.4253 data_time: 0.0149 memory: 17087 grad_norm: 4.9778 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4592 loss: 1.4592 2022/08/04 01:02:59 - mmengine - INFO - Epoch(train) [70][80/1879] lr: 1.0000e-02 eta: 1 day, 18:07:22 time: 0.4311 data_time: 0.0155 memory: 17087 grad_norm: 5.1346 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5924 loss: 1.5924 2022/08/04 01:03:07 - mmengine - INFO - Epoch(train) [70][100/1879] lr: 1.0000e-02 eta: 1 day, 18:07:13 time: 0.4275 data_time: 0.0155 memory: 17087 grad_norm: 5.2554 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6418 loss: 1.6418 2022/08/04 01:03:17 - mmengine - INFO - Epoch(train) [70][120/1879] lr: 1.0000e-02 eta: 1 day, 18:07:06 time: 0.4632 data_time: 0.0144 memory: 17087 grad_norm: 5.1306 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6056 loss: 1.6056 2022/08/04 01:03:25 - mmengine - INFO - Epoch(train) [70][140/1879] lr: 1.0000e-02 eta: 1 day, 18:06:57 time: 0.4251 data_time: 0.0142 memory: 17087 grad_norm: 5.0410 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2944 loss: 1.2944 2022/08/04 01:03:34 - mmengine - INFO - Epoch(train) [70][160/1879] lr: 1.0000e-02 eta: 1 day, 18:06:49 time: 0.4271 data_time: 0.0152 memory: 17087 grad_norm: 5.0050 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5218 loss: 1.5218 2022/08/04 01:03:42 - mmengine - INFO - Epoch(train) [70][180/1879] lr: 1.0000e-02 eta: 1 day, 18:06:40 time: 0.4316 data_time: 0.0149 memory: 17087 grad_norm: 5.1616 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.2891 loss: 1.2891 2022/08/04 01:03:51 - mmengine - INFO - Epoch(train) [70][200/1879] lr: 1.0000e-02 eta: 1 day, 18:06:31 time: 0.4257 data_time: 0.0165 memory: 17087 grad_norm: 5.2769 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5546 loss: 1.5546 2022/08/04 01:04:00 - mmengine - INFO - Epoch(train) [70][220/1879] lr: 1.0000e-02 eta: 1 day, 18:06:22 time: 0.4338 data_time: 0.0158 memory: 17087 grad_norm: 5.1363 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7032 loss: 1.7032 2022/08/04 01:04:08 - mmengine - INFO - Epoch(train) [70][240/1879] lr: 1.0000e-02 eta: 1 day, 18:06:14 time: 0.4255 data_time: 0.0150 memory: 17087 grad_norm: 5.2490 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5870 loss: 1.5870 2022/08/04 01:04:17 - mmengine - INFO - Epoch(train) [70][260/1879] lr: 1.0000e-02 eta: 1 day, 18:06:06 time: 0.4608 data_time: 0.0160 memory: 17087 grad_norm: 5.0305 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5657 loss: 1.5657 2022/08/04 01:04:26 - mmengine - INFO - Epoch(train) [70][280/1879] lr: 1.0000e-02 eta: 1 day, 18:05:58 time: 0.4268 data_time: 0.0154 memory: 17087 grad_norm: 5.0331 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5232 loss: 1.5232 2022/08/04 01:04:34 - mmengine - INFO - Epoch(train) [70][300/1879] lr: 1.0000e-02 eta: 1 day, 18:05:49 time: 0.4246 data_time: 0.0140 memory: 17087 grad_norm: 5.0009 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4893 loss: 1.4893 2022/08/04 01:04:43 - mmengine - INFO - Epoch(train) [70][320/1879] lr: 1.0000e-02 eta: 1 day, 18:05:40 time: 0.4330 data_time: 0.0173 memory: 17087 grad_norm: 5.1987 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4074 loss: 1.4074 2022/08/04 01:04:52 - mmengine - INFO - Epoch(train) [70][340/1879] lr: 1.0000e-02 eta: 1 day, 18:05:31 time: 0.4257 data_time: 0.0149 memory: 17087 grad_norm: 5.2535 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6146 loss: 1.6146 2022/08/04 01:04:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 01:05:01 - mmengine - INFO - Epoch(train) [70][360/1879] lr: 1.0000e-02 eta: 1 day, 18:05:24 time: 0.4649 data_time: 0.0186 memory: 17087 grad_norm: 5.1019 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5119 loss: 1.5119 2022/08/04 01:05:09 - mmengine - INFO - Epoch(train) [70][380/1879] lr: 1.0000e-02 eta: 1 day, 18:05:15 time: 0.4272 data_time: 0.0161 memory: 17087 grad_norm: 5.0947 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5420 loss: 1.5420 2022/08/04 01:05:18 - mmengine - INFO - Epoch(train) [70][400/1879] lr: 1.0000e-02 eta: 1 day, 18:05:07 time: 0.4436 data_time: 0.0173 memory: 17087 grad_norm: 5.2495 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3246 loss: 1.3246 2022/08/04 01:05:27 - mmengine - INFO - Epoch(train) [70][420/1879] lr: 1.0000e-02 eta: 1 day, 18:04:58 time: 0.4244 data_time: 0.0165 memory: 17087 grad_norm: 5.1243 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6663 loss: 1.6663 2022/08/04 01:05:36 - mmengine - INFO - Epoch(train) [70][440/1879] lr: 1.0000e-02 eta: 1 day, 18:04:50 time: 0.4395 data_time: 0.0152 memory: 17087 grad_norm: 5.1258 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5878 loss: 1.5878 2022/08/04 01:05:44 - mmengine - INFO - Epoch(train) [70][460/1879] lr: 1.0000e-02 eta: 1 day, 18:04:41 time: 0.4245 data_time: 0.0145 memory: 17087 grad_norm: 5.1356 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5064 loss: 1.5064 2022/08/04 01:05:53 - mmengine - INFO - Epoch(train) [70][480/1879] lr: 1.0000e-02 eta: 1 day, 18:04:32 time: 0.4238 data_time: 0.0143 memory: 17087 grad_norm: 5.2243 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6270 loss: 1.6270 2022/08/04 01:06:01 - mmengine - INFO - Epoch(train) [70][500/1879] lr: 1.0000e-02 eta: 1 day, 18:04:23 time: 0.4296 data_time: 0.0163 memory: 17087 grad_norm: 5.0656 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5445 loss: 1.5445 2022/08/04 01:06:10 - mmengine - INFO - Epoch(train) [70][520/1879] lr: 1.0000e-02 eta: 1 day, 18:04:14 time: 0.4261 data_time: 0.0158 memory: 17087 grad_norm: 5.0955 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4954 loss: 1.4954 2022/08/04 01:06:19 - mmengine - INFO - Epoch(train) [70][540/1879] lr: 1.0000e-02 eta: 1 day, 18:04:06 time: 0.4398 data_time: 0.0155 memory: 17087 grad_norm: 5.3009 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6556 loss: 1.6556 2022/08/04 01:06:27 - mmengine - INFO - Epoch(train) [70][560/1879] lr: 1.0000e-02 eta: 1 day, 18:03:57 time: 0.4257 data_time: 0.0165 memory: 17087 grad_norm: 5.2436 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5881 loss: 1.5881 2022/08/04 01:06:36 - mmengine - INFO - Epoch(train) [70][580/1879] lr: 1.0000e-02 eta: 1 day, 18:03:48 time: 0.4283 data_time: 0.0175 memory: 17087 grad_norm: 5.2763 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5270 loss: 1.5270 2022/08/04 01:06:44 - mmengine - INFO - Epoch(train) [70][600/1879] lr: 1.0000e-02 eta: 1 day, 18:03:39 time: 0.4253 data_time: 0.0158 memory: 17087 grad_norm: 5.0715 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6606 loss: 1.6606 2022/08/04 01:06:53 - mmengine - INFO - Epoch(train) [70][620/1879] lr: 1.0000e-02 eta: 1 day, 18:03:31 time: 0.4402 data_time: 0.0151 memory: 17087 grad_norm: 5.2289 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7431 loss: 1.7431 2022/08/04 01:07:02 - mmengine - INFO - Epoch(train) [70][640/1879] lr: 1.0000e-02 eta: 1 day, 18:03:23 time: 0.4330 data_time: 0.0152 memory: 17087 grad_norm: 5.2666 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3977 loss: 1.3977 2022/08/04 01:07:11 - mmengine - INFO - Epoch(train) [70][660/1879] lr: 1.0000e-02 eta: 1 day, 18:03:15 time: 0.4506 data_time: 0.0198 memory: 17087 grad_norm: 5.3163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4618 loss: 1.4618 2022/08/04 01:07:19 - mmengine - INFO - Epoch(train) [70][680/1879] lr: 1.0000e-02 eta: 1 day, 18:03:06 time: 0.4279 data_time: 0.0158 memory: 17087 grad_norm: 5.0487 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5700 loss: 1.5700 2022/08/04 01:07:28 - mmengine - INFO - Epoch(train) [70][700/1879] lr: 1.0000e-02 eta: 1 day, 18:02:58 time: 0.4365 data_time: 0.0143 memory: 17087 grad_norm: 5.2711 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6117 loss: 1.6117 2022/08/04 01:07:37 - mmengine - INFO - Epoch(train) [70][720/1879] lr: 1.0000e-02 eta: 1 day, 18:02:49 time: 0.4342 data_time: 0.0165 memory: 17087 grad_norm: 5.2476 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6016 loss: 1.6016 2022/08/04 01:07:45 - mmengine - INFO - Epoch(train) [70][740/1879] lr: 1.0000e-02 eta: 1 day, 18:02:40 time: 0.4260 data_time: 0.0142 memory: 17087 grad_norm: 5.0893 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5726 loss: 1.5726 2022/08/04 01:07:54 - mmengine - INFO - Epoch(train) [70][760/1879] lr: 1.0000e-02 eta: 1 day, 18:02:32 time: 0.4309 data_time: 0.0178 memory: 17087 grad_norm: 5.1429 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6469 loss: 1.6469 2022/08/04 01:08:03 - mmengine - INFO - Epoch(train) [70][780/1879] lr: 1.0000e-02 eta: 1 day, 18:02:24 time: 0.4439 data_time: 0.0157 memory: 17087 grad_norm: 5.1316 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4046 loss: 1.4046 2022/08/04 01:08:11 - mmengine - INFO - Epoch(train) [70][800/1879] lr: 1.0000e-02 eta: 1 day, 18:02:15 time: 0.4354 data_time: 0.0198 memory: 17087 grad_norm: 5.0905 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6352 loss: 1.6352 2022/08/04 01:08:20 - mmengine - INFO - Epoch(train) [70][820/1879] lr: 1.0000e-02 eta: 1 day, 18:02:07 time: 0.4343 data_time: 0.0156 memory: 17087 grad_norm: 5.1673 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4398 loss: 1.4398 2022/08/04 01:08:29 - mmengine - INFO - Epoch(train) [70][840/1879] lr: 1.0000e-02 eta: 1 day, 18:01:58 time: 0.4295 data_time: 0.0176 memory: 17087 grad_norm: 5.3055 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5680 loss: 1.5680 2022/08/04 01:08:38 - mmengine - INFO - Epoch(train) [70][860/1879] lr: 1.0000e-02 eta: 1 day, 18:01:50 time: 0.4409 data_time: 0.0155 memory: 17087 grad_norm: 5.2538 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6431 loss: 1.6431 2022/08/04 01:08:46 - mmengine - INFO - Epoch(train) [70][880/1879] lr: 1.0000e-02 eta: 1 day, 18:01:41 time: 0.4312 data_time: 0.0206 memory: 17087 grad_norm: 5.1915 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4174 loss: 1.4174 2022/08/04 01:08:55 - mmengine - INFO - Epoch(train) [70][900/1879] lr: 1.0000e-02 eta: 1 day, 18:01:32 time: 0.4255 data_time: 0.0145 memory: 17087 grad_norm: 5.1373 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5349 loss: 1.5349 2022/08/04 01:09:04 - mmengine - INFO - Epoch(train) [70][920/1879] lr: 1.0000e-02 eta: 1 day, 18:01:25 time: 0.4510 data_time: 0.0164 memory: 17087 grad_norm: 5.0383 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5646 loss: 1.5646 2022/08/04 01:09:12 - mmengine - INFO - Epoch(train) [70][940/1879] lr: 1.0000e-02 eta: 1 day, 18:01:16 time: 0.4311 data_time: 0.0163 memory: 17087 grad_norm: 5.0581 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5365 loss: 1.5365 2022/08/04 01:09:22 - mmengine - INFO - Epoch(train) [70][960/1879] lr: 1.0000e-02 eta: 1 day, 18:01:09 time: 0.4592 data_time: 0.0165 memory: 17087 grad_norm: 4.9381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2391 loss: 1.2391 2022/08/04 01:09:30 - mmengine - INFO - Epoch(train) [70][980/1879] lr: 1.0000e-02 eta: 1 day, 18:01:00 time: 0.4278 data_time: 0.0174 memory: 17087 grad_norm: 5.2254 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6152 loss: 1.6152 2022/08/04 01:09:39 - mmengine - INFO - Epoch(train) [70][1000/1879] lr: 1.0000e-02 eta: 1 day, 18:00:53 time: 0.4535 data_time: 0.0162 memory: 17087 grad_norm: 5.1698 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5775 loss: 1.5775 2022/08/04 01:09:48 - mmengine - INFO - Epoch(train) [70][1020/1879] lr: 1.0000e-02 eta: 1 day, 18:00:44 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 5.0769 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5074 loss: 1.5074 2022/08/04 01:09:56 - mmengine - INFO - Epoch(train) [70][1040/1879] lr: 1.0000e-02 eta: 1 day, 18:00:35 time: 0.4327 data_time: 0.0159 memory: 17087 grad_norm: 5.1218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4615 loss: 1.4615 2022/08/04 01:10:05 - mmengine - INFO - Epoch(train) [70][1060/1879] lr: 1.0000e-02 eta: 1 day, 18:00:26 time: 0.4271 data_time: 0.0150 memory: 17087 grad_norm: 5.0612 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5376 loss: 1.5376 2022/08/04 01:10:13 - mmengine - INFO - Epoch(train) [70][1080/1879] lr: 1.0000e-02 eta: 1 day, 18:00:17 time: 0.4250 data_time: 0.0150 memory: 17087 grad_norm: 5.1261 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5966 loss: 1.5966 2022/08/04 01:10:22 - mmengine - INFO - Epoch(train) [70][1100/1879] lr: 1.0000e-02 eta: 1 day, 18:00:09 time: 0.4349 data_time: 0.0166 memory: 17087 grad_norm: 5.2279 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6825 loss: 1.6825 2022/08/04 01:10:31 - mmengine - INFO - Epoch(train) [70][1120/1879] lr: 1.0000e-02 eta: 1 day, 18:00:00 time: 0.4259 data_time: 0.0169 memory: 17087 grad_norm: 5.0198 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2447 loss: 1.2447 2022/08/04 01:10:39 - mmengine - INFO - Epoch(train) [70][1140/1879] lr: 1.0000e-02 eta: 1 day, 17:59:51 time: 0.4381 data_time: 0.0163 memory: 17087 grad_norm: 5.2028 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7404 loss: 1.7404 2022/08/04 01:10:48 - mmengine - INFO - Epoch(train) [70][1160/1879] lr: 1.0000e-02 eta: 1 day, 17:59:43 time: 0.4261 data_time: 0.0161 memory: 17087 grad_norm: 5.1302 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6032 loss: 1.6032 2022/08/04 01:10:57 - mmengine - INFO - Epoch(train) [70][1180/1879] lr: 1.0000e-02 eta: 1 day, 17:59:34 time: 0.4279 data_time: 0.0157 memory: 17087 grad_norm: 5.1259 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4595 loss: 1.4595 2022/08/04 01:11:05 - mmengine - INFO - Epoch(train) [70][1200/1879] lr: 1.0000e-02 eta: 1 day, 17:59:25 time: 0.4254 data_time: 0.0156 memory: 17087 grad_norm: 5.0653 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6192 loss: 1.6192 2022/08/04 01:11:14 - mmengine - INFO - Epoch(train) [70][1220/1879] lr: 1.0000e-02 eta: 1 day, 17:59:16 time: 0.4247 data_time: 0.0147 memory: 17087 grad_norm: 5.2994 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5827 loss: 1.5827 2022/08/04 01:11:22 - mmengine - INFO - Epoch(train) [70][1240/1879] lr: 1.0000e-02 eta: 1 day, 17:59:07 time: 0.4339 data_time: 0.0175 memory: 17087 grad_norm: 5.1628 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6348 loss: 1.6348 2022/08/04 01:11:31 - mmengine - INFO - Epoch(train) [70][1260/1879] lr: 1.0000e-02 eta: 1 day, 17:58:58 time: 0.4269 data_time: 0.0153 memory: 17087 grad_norm: 5.1044 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7741 loss: 1.7741 2022/08/04 01:11:40 - mmengine - INFO - Epoch(train) [70][1280/1879] lr: 1.0000e-02 eta: 1 day, 17:58:50 time: 0.4374 data_time: 0.0159 memory: 17087 grad_norm: 5.0071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5867 loss: 1.5867 2022/08/04 01:11:48 - mmengine - INFO - Epoch(train) [70][1300/1879] lr: 1.0000e-02 eta: 1 day, 17:58:41 time: 0.4291 data_time: 0.0183 memory: 17087 grad_norm: 5.0061 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3716 loss: 1.3716 2022/08/04 01:11:57 - mmengine - INFO - Epoch(train) [70][1320/1879] lr: 1.0000e-02 eta: 1 day, 17:58:33 time: 0.4325 data_time: 0.0169 memory: 17087 grad_norm: 5.1609 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7222 loss: 1.7222 2022/08/04 01:12:05 - mmengine - INFO - Epoch(train) [70][1340/1879] lr: 1.0000e-02 eta: 1 day, 17:58:24 time: 0.4265 data_time: 0.0148 memory: 17087 grad_norm: 5.0812 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5835 loss: 1.5835 2022/08/04 01:12:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 01:12:14 - mmengine - INFO - Epoch(train) [70][1360/1879] lr: 1.0000e-02 eta: 1 day, 17:58:15 time: 0.4266 data_time: 0.0154 memory: 17087 grad_norm: 5.1743 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7294 loss: 1.7294 2022/08/04 01:12:23 - mmengine - INFO - Epoch(train) [70][1380/1879] lr: 1.0000e-02 eta: 1 day, 17:58:06 time: 0.4311 data_time: 0.0147 memory: 17087 grad_norm: 5.2994 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3484 loss: 1.3484 2022/08/04 01:12:31 - mmengine - INFO - Epoch(train) [70][1400/1879] lr: 1.0000e-02 eta: 1 day, 17:57:57 time: 0.4271 data_time: 0.0162 memory: 17087 grad_norm: 5.0948 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5219 loss: 1.5219 2022/08/04 01:12:40 - mmengine - INFO - Epoch(train) [70][1420/1879] lr: 1.0000e-02 eta: 1 day, 17:57:49 time: 0.4364 data_time: 0.0150 memory: 17087 grad_norm: 5.0344 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4864 loss: 1.4864 2022/08/04 01:12:48 - mmengine - INFO - Epoch(train) [70][1440/1879] lr: 1.0000e-02 eta: 1 day, 17:57:40 time: 0.4279 data_time: 0.0176 memory: 17087 grad_norm: 5.0705 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5764 loss: 1.5764 2022/08/04 01:12:57 - mmengine - INFO - Epoch(train) [70][1460/1879] lr: 1.0000e-02 eta: 1 day, 17:57:31 time: 0.4321 data_time: 0.0151 memory: 17087 grad_norm: 5.1708 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4883 loss: 1.4883 2022/08/04 01:13:06 - mmengine - INFO - Epoch(train) [70][1480/1879] lr: 1.0000e-02 eta: 1 day, 17:57:23 time: 0.4269 data_time: 0.0156 memory: 17087 grad_norm: 5.1809 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3438 loss: 1.3438 2022/08/04 01:13:14 - mmengine - INFO - Epoch(train) [70][1500/1879] lr: 1.0000e-02 eta: 1 day, 17:57:13 time: 0.4229 data_time: 0.0129 memory: 17087 grad_norm: 5.1592 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6220 loss: 1.6220 2022/08/04 01:13:23 - mmengine - INFO - Epoch(train) [70][1520/1879] lr: 1.0000e-02 eta: 1 day, 17:57:05 time: 0.4284 data_time: 0.0157 memory: 17087 grad_norm: 5.2781 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5180 loss: 1.5180 2022/08/04 01:13:32 - mmengine - INFO - Epoch(train) [70][1540/1879] lr: 1.0000e-02 eta: 1 day, 17:56:57 time: 0.4451 data_time: 0.0174 memory: 17087 grad_norm: 5.1396 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6895 loss: 1.6895 2022/08/04 01:13:40 - mmengine - INFO - Epoch(train) [70][1560/1879] lr: 1.0000e-02 eta: 1 day, 17:56:48 time: 0.4264 data_time: 0.0149 memory: 17087 grad_norm: 5.1527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5092 loss: 1.5092 2022/08/04 01:13:49 - mmengine - INFO - Epoch(train) [70][1580/1879] lr: 1.0000e-02 eta: 1 day, 17:56:41 time: 0.4648 data_time: 0.0211 memory: 17087 grad_norm: 4.9865 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4828 loss: 1.4828 2022/08/04 01:13:58 - mmengine - INFO - Epoch(train) [70][1600/1879] lr: 1.0000e-02 eta: 1 day, 17:56:32 time: 0.4258 data_time: 0.0153 memory: 17087 grad_norm: 5.2984 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4250 loss: 1.4250 2022/08/04 01:14:07 - mmengine - INFO - Epoch(train) [70][1620/1879] lr: 1.0000e-02 eta: 1 day, 17:56:25 time: 0.4608 data_time: 0.0215 memory: 17087 grad_norm: 5.2251 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3825 loss: 1.3825 2022/08/04 01:14:16 - mmengine - INFO - Epoch(train) [70][1640/1879] lr: 1.0000e-02 eta: 1 day, 17:56:16 time: 0.4253 data_time: 0.0144 memory: 17087 grad_norm: 5.1841 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.7092 loss: 1.7092 2022/08/04 01:14:24 - mmengine - INFO - Epoch(train) [70][1660/1879] lr: 1.0000e-02 eta: 1 day, 17:56:07 time: 0.4242 data_time: 0.0133 memory: 17087 grad_norm: 5.2239 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6337 loss: 1.6337 2022/08/04 01:14:33 - mmengine - INFO - Epoch(train) [70][1680/1879] lr: 1.0000e-02 eta: 1 day, 17:55:59 time: 0.4536 data_time: 0.0207 memory: 17087 grad_norm: 5.1104 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.3574 loss: 1.3574 2022/08/04 01:14:42 - mmengine - INFO - Epoch(train) [70][1700/1879] lr: 1.0000e-02 eta: 1 day, 17:55:50 time: 0.4256 data_time: 0.0146 memory: 17087 grad_norm: 5.3370 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6474 loss: 1.6474 2022/08/04 01:14:51 - mmengine - INFO - Epoch(train) [70][1720/1879] lr: 1.0000e-02 eta: 1 day, 17:55:43 time: 0.4557 data_time: 0.0236 memory: 17087 grad_norm: 5.2140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4697 loss: 1.4697 2022/08/04 01:14:59 - mmengine - INFO - Epoch(train) [70][1740/1879] lr: 1.0000e-02 eta: 1 day, 17:55:34 time: 0.4293 data_time: 0.0140 memory: 17087 grad_norm: 5.3052 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5458 loss: 1.5458 2022/08/04 01:15:08 - mmengine - INFO - Epoch(train) [70][1760/1879] lr: 1.0000e-02 eta: 1 day, 17:55:26 time: 0.4362 data_time: 0.0161 memory: 17087 grad_norm: 5.1305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4649 loss: 1.4649 2022/08/04 01:15:17 - mmengine - INFO - Epoch(train) [70][1780/1879] lr: 1.0000e-02 eta: 1 day, 17:55:18 time: 0.4389 data_time: 0.0158 memory: 17087 grad_norm: 5.0826 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5522 loss: 1.5522 2022/08/04 01:15:25 - mmengine - INFO - Epoch(train) [70][1800/1879] lr: 1.0000e-02 eta: 1 day, 17:55:09 time: 0.4262 data_time: 0.0168 memory: 17087 grad_norm: 5.2001 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7419 loss: 1.7419 2022/08/04 01:15:34 - mmengine - INFO - Epoch(train) [70][1820/1879] lr: 1.0000e-02 eta: 1 day, 17:55:01 time: 0.4453 data_time: 0.0151 memory: 17087 grad_norm: 5.0928 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6498 loss: 1.6498 2022/08/04 01:15:43 - mmengine - INFO - Epoch(train) [70][1840/1879] lr: 1.0000e-02 eta: 1 day, 17:54:52 time: 0.4268 data_time: 0.0149 memory: 17087 grad_norm: 5.1814 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7944 loss: 1.7944 2022/08/04 01:15:52 - mmengine - INFO - Epoch(train) [70][1860/1879] lr: 1.0000e-02 eta: 1 day, 17:54:44 time: 0.4527 data_time: 0.0200 memory: 17087 grad_norm: 5.3647 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4959 loss: 1.4959 2022/08/04 01:16:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 01:16:00 - mmengine - INFO - Epoch(train) [70][1879/1879] lr: 1.0000e-02 eta: 1 day, 17:54:44 time: 0.4057 data_time: 0.0139 memory: 17087 grad_norm: 5.2949 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.7431 loss: 1.7431 2022/08/04 01:16:09 - mmengine - INFO - Epoch(val) [70][20/155] eta: 0:00:58 time: 0.4340 data_time: 0.2617 memory: 2821 2022/08/04 01:16:14 - mmengine - INFO - Epoch(val) [70][40/155] eta: 0:00:29 time: 0.2560 data_time: 0.0929 memory: 2821 2022/08/04 01:16:20 - mmengine - INFO - Epoch(val) [70][60/155] eta: 0:00:28 time: 0.2976 data_time: 0.1302 memory: 2821 2022/08/04 01:16:25 - mmengine - INFO - Epoch(val) [70][80/155] eta: 0:00:20 time: 0.2714 data_time: 0.1030 memory: 2821 2022/08/04 01:16:31 - mmengine - INFO - Epoch(val) [70][100/155] eta: 0:00:16 time: 0.3022 data_time: 0.1346 memory: 2821 2022/08/04 01:16:37 - mmengine - INFO - Epoch(val) [70][120/155] eta: 0:00:09 time: 0.2839 data_time: 0.1148 memory: 2821 2022/08/04 01:16:43 - mmengine - INFO - Epoch(val) [70][140/155] eta: 0:00:04 time: 0.3157 data_time: 0.1476 memory: 2821 2022/08/04 01:16:50 - mmengine - INFO - Epoch(val) [70][155/155] acc/top1: 0.6532 acc/top5: 0.8591 acc/mean1: 0.6531 2022/08/04 01:17:02 - mmengine - INFO - Epoch(train) [71][20/1879] lr: 1.0000e-02 eta: 1 day, 17:54:12 time: 0.5578 data_time: 0.1114 memory: 17087 grad_norm: 5.0158 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4587 loss: 1.4587 2022/08/04 01:17:11 - mmengine - INFO - Epoch(train) [71][40/1879] lr: 1.0000e-02 eta: 1 day, 17:54:05 time: 0.4497 data_time: 0.0156 memory: 17087 grad_norm: 5.0903 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6940 loss: 1.6940 2022/08/04 01:17:19 - mmengine - INFO - Epoch(train) [71][60/1879] lr: 1.0000e-02 eta: 1 day, 17:53:56 time: 0.4300 data_time: 0.0196 memory: 17087 grad_norm: 5.0639 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4959 loss: 1.4959 2022/08/04 01:17:28 - mmengine - INFO - Epoch(train) [71][80/1879] lr: 1.0000e-02 eta: 1 day, 17:53:48 time: 0.4338 data_time: 0.0173 memory: 17087 grad_norm: 5.1926 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6626 loss: 1.6626 2022/08/04 01:17:37 - mmengine - INFO - Epoch(train) [71][100/1879] lr: 1.0000e-02 eta: 1 day, 17:53:39 time: 0.4285 data_time: 0.0145 memory: 17087 grad_norm: 5.0873 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4252 loss: 1.4252 2022/08/04 01:17:45 - mmengine - INFO - Epoch(train) [71][120/1879] lr: 1.0000e-02 eta: 1 day, 17:53:30 time: 0.4293 data_time: 0.0169 memory: 17087 grad_norm: 5.3147 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4321 loss: 1.4321 2022/08/04 01:17:54 - mmengine - INFO - Epoch(train) [71][140/1879] lr: 1.0000e-02 eta: 1 day, 17:53:21 time: 0.4254 data_time: 0.0138 memory: 17087 grad_norm: 5.0332 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5679 loss: 1.5679 2022/08/04 01:18:03 - mmengine - INFO - Epoch(train) [71][160/1879] lr: 1.0000e-02 eta: 1 day, 17:53:14 time: 0.4546 data_time: 0.0225 memory: 17087 grad_norm: 5.0520 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5604 loss: 1.5604 2022/08/04 01:18:11 - mmengine - INFO - Epoch(train) [71][180/1879] lr: 1.0000e-02 eta: 1 day, 17:53:05 time: 0.4287 data_time: 0.0180 memory: 17087 grad_norm: 5.0999 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5356 loss: 1.5356 2022/08/04 01:18:20 - mmengine - INFO - Epoch(train) [71][200/1879] lr: 1.0000e-02 eta: 1 day, 17:52:56 time: 0.4266 data_time: 0.0187 memory: 17087 grad_norm: 5.1060 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4712 loss: 1.4712 2022/08/04 01:18:28 - mmengine - INFO - Epoch(train) [71][220/1879] lr: 1.0000e-02 eta: 1 day, 17:52:47 time: 0.4232 data_time: 0.0143 memory: 17087 grad_norm: 5.2374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4502 loss: 1.4502 2022/08/04 01:18:37 - mmengine - INFO - Epoch(train) [71][240/1879] lr: 1.0000e-02 eta: 1 day, 17:52:39 time: 0.4506 data_time: 0.0167 memory: 17087 grad_norm: 5.1670 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5545 loss: 1.5545 2022/08/04 01:18:46 - mmengine - INFO - Epoch(train) [71][260/1879] lr: 1.0000e-02 eta: 1 day, 17:52:30 time: 0.4256 data_time: 0.0147 memory: 17087 grad_norm: 4.9994 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4239 loss: 1.4239 2022/08/04 01:18:55 - mmengine - INFO - Epoch(train) [71][280/1879] lr: 1.0000e-02 eta: 1 day, 17:52:21 time: 0.4258 data_time: 0.0146 memory: 17087 grad_norm: 5.0982 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6295 loss: 1.6295 2022/08/04 01:19:03 - mmengine - INFO - Epoch(train) [71][300/1879] lr: 1.0000e-02 eta: 1 day, 17:52:13 time: 0.4284 data_time: 0.0155 memory: 17087 grad_norm: 5.2298 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5650 loss: 1.5650 2022/08/04 01:19:12 - mmengine - INFO - Epoch(train) [71][320/1879] lr: 1.0000e-02 eta: 1 day, 17:52:04 time: 0.4269 data_time: 0.0171 memory: 17087 grad_norm: 5.1343 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4791 loss: 1.4791 2022/08/04 01:19:20 - mmengine - INFO - Epoch(train) [71][340/1879] lr: 1.0000e-02 eta: 1 day, 17:51:55 time: 0.4374 data_time: 0.0152 memory: 17087 grad_norm: 5.1124 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5972 loss: 1.5972 2022/08/04 01:19:29 - mmengine - INFO - Epoch(train) [71][360/1879] lr: 1.0000e-02 eta: 1 day, 17:51:47 time: 0.4313 data_time: 0.0203 memory: 17087 grad_norm: 5.2392 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3439 loss: 1.3439 2022/08/04 01:19:38 - mmengine - INFO - Epoch(train) [71][380/1879] lr: 1.0000e-02 eta: 1 day, 17:51:38 time: 0.4315 data_time: 0.0142 memory: 17087 grad_norm: 5.1216 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5767 loss: 1.5767 2022/08/04 01:19:46 - mmengine - INFO - Epoch(train) [71][400/1879] lr: 1.0000e-02 eta: 1 day, 17:51:29 time: 0.4276 data_time: 0.0177 memory: 17087 grad_norm: 5.2820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5720 loss: 1.5720 2022/08/04 01:19:55 - mmengine - INFO - Epoch(train) [71][420/1879] lr: 1.0000e-02 eta: 1 day, 17:51:20 time: 0.4271 data_time: 0.0158 memory: 17087 grad_norm: 4.9879 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5618 loss: 1.5618 2022/08/04 01:20:04 - mmengine - INFO - Epoch(train) [71][440/1879] lr: 1.0000e-02 eta: 1 day, 17:51:13 time: 0.4500 data_time: 0.0185 memory: 17087 grad_norm: 5.0501 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4996 loss: 1.4996 2022/08/04 01:20:12 - mmengine - INFO - Epoch(train) [71][460/1879] lr: 1.0000e-02 eta: 1 day, 17:51:04 time: 0.4265 data_time: 0.0165 memory: 17087 grad_norm: 5.3033 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5457 loss: 1.5457 2022/08/04 01:20:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 01:20:21 - mmengine - INFO - Epoch(train) [71][480/1879] lr: 1.0000e-02 eta: 1 day, 17:50:56 time: 0.4440 data_time: 0.0170 memory: 17087 grad_norm: 5.0354 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6428 loss: 1.6428 2022/08/04 01:20:30 - mmengine - INFO - Epoch(train) [71][500/1879] lr: 1.0000e-02 eta: 1 day, 17:50:47 time: 0.4253 data_time: 0.0144 memory: 17087 grad_norm: 5.2503 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6083 loss: 1.6083 2022/08/04 01:20:39 - mmengine - INFO - Epoch(train) [71][520/1879] lr: 1.0000e-02 eta: 1 day, 17:50:39 time: 0.4386 data_time: 0.0174 memory: 17087 grad_norm: 5.2381 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6378 loss: 1.6378 2022/08/04 01:20:47 - mmengine - INFO - Epoch(train) [71][540/1879] lr: 1.0000e-02 eta: 1 day, 17:50:30 time: 0.4265 data_time: 0.0159 memory: 17087 grad_norm: 5.2380 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5151 loss: 1.5151 2022/08/04 01:20:56 - mmengine - INFO - Epoch(train) [71][560/1879] lr: 1.0000e-02 eta: 1 day, 17:50:21 time: 0.4307 data_time: 0.0173 memory: 17087 grad_norm: 5.2353 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4780 loss: 1.4780 2022/08/04 01:21:05 - mmengine - INFO - Epoch(train) [71][580/1879] lr: 1.0000e-02 eta: 1 day, 17:50:13 time: 0.4457 data_time: 0.0138 memory: 17087 grad_norm: 5.2711 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5663 loss: 1.5663 2022/08/04 01:21:13 - mmengine - INFO - Epoch(train) [71][600/1879] lr: 1.0000e-02 eta: 1 day, 17:50:05 time: 0.4357 data_time: 0.0197 memory: 17087 grad_norm: 5.2639 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6274 loss: 1.6274 2022/08/04 01:21:22 - mmengine - INFO - Epoch(train) [71][620/1879] lr: 1.0000e-02 eta: 1 day, 17:49:56 time: 0.4261 data_time: 0.0158 memory: 17087 grad_norm: 5.1954 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7315 loss: 1.7315 2022/08/04 01:21:31 - mmengine - INFO - Epoch(train) [71][640/1879] lr: 1.0000e-02 eta: 1 day, 17:49:48 time: 0.4579 data_time: 0.0178 memory: 17087 grad_norm: 5.1608 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4720 loss: 1.4720 2022/08/04 01:21:40 - mmengine - INFO - Epoch(train) [71][660/1879] lr: 1.0000e-02 eta: 1 day, 17:49:39 time: 0.4241 data_time: 0.0140 memory: 17087 grad_norm: 5.1149 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3418 loss: 1.3418 2022/08/04 01:21:49 - mmengine - INFO - Epoch(train) [71][680/1879] lr: 1.0000e-02 eta: 1 day, 17:49:32 time: 0.4608 data_time: 0.0205 memory: 17087 grad_norm: 5.1750 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4752 loss: 1.4752 2022/08/04 01:21:57 - mmengine - INFO - Epoch(train) [71][700/1879] lr: 1.0000e-02 eta: 1 day, 17:49:23 time: 0.4262 data_time: 0.0147 memory: 17087 grad_norm: 5.2928 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6008 loss: 1.6008 2022/08/04 01:22:06 - mmengine - INFO - Epoch(train) [71][720/1879] lr: 1.0000e-02 eta: 1 day, 17:49:15 time: 0.4316 data_time: 0.0198 memory: 17087 grad_norm: 5.2126 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4506 loss: 1.4506 2022/08/04 01:22:14 - mmengine - INFO - Epoch(train) [71][740/1879] lr: 1.0000e-02 eta: 1 day, 17:49:06 time: 0.4286 data_time: 0.0176 memory: 17087 grad_norm: 5.0408 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5877 loss: 1.5877 2022/08/04 01:22:23 - mmengine - INFO - Epoch(train) [71][760/1879] lr: 1.0000e-02 eta: 1 day, 17:48:57 time: 0.4312 data_time: 0.0153 memory: 17087 grad_norm: 5.1238 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5576 loss: 1.5576 2022/08/04 01:22:32 - mmengine - INFO - Epoch(train) [71][780/1879] lr: 1.0000e-02 eta: 1 day, 17:48:49 time: 0.4325 data_time: 0.0170 memory: 17087 grad_norm: 5.2724 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4834 loss: 1.4834 2022/08/04 01:22:41 - mmengine - INFO - Epoch(train) [71][800/1879] lr: 1.0000e-02 eta: 1 day, 17:48:41 time: 0.4449 data_time: 0.0181 memory: 17087 grad_norm: 5.2231 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5333 loss: 1.5333 2022/08/04 01:22:49 - mmengine - INFO - Epoch(train) [71][820/1879] lr: 1.0000e-02 eta: 1 day, 17:48:32 time: 0.4321 data_time: 0.0148 memory: 17087 grad_norm: 5.1279 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.3730 loss: 1.3730 2022/08/04 01:22:58 - mmengine - INFO - Epoch(train) [71][840/1879] lr: 1.0000e-02 eta: 1 day, 17:48:23 time: 0.4294 data_time: 0.0178 memory: 17087 grad_norm: 5.2481 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6852 loss: 1.6852 2022/08/04 01:23:06 - mmengine - INFO - Epoch(train) [71][860/1879] lr: 1.0000e-02 eta: 1 day, 17:48:14 time: 0.4256 data_time: 0.0150 memory: 17087 grad_norm: 5.2969 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7016 loss: 1.7016 2022/08/04 01:23:15 - mmengine - INFO - Epoch(train) [71][880/1879] lr: 1.0000e-02 eta: 1 day, 17:48:06 time: 0.4258 data_time: 0.0143 memory: 17087 grad_norm: 5.0380 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.6848 loss: 1.6848 2022/08/04 01:23:24 - mmengine - INFO - Epoch(train) [71][900/1879] lr: 1.0000e-02 eta: 1 day, 17:47:57 time: 0.4362 data_time: 0.0154 memory: 17087 grad_norm: 5.1956 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5193 loss: 1.5193 2022/08/04 01:23:32 - mmengine - INFO - Epoch(train) [71][920/1879] lr: 1.0000e-02 eta: 1 day, 17:47:48 time: 0.4297 data_time: 0.0147 memory: 17087 grad_norm: 5.1956 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6239 loss: 1.6239 2022/08/04 01:23:41 - mmengine - INFO - Epoch(train) [71][940/1879] lr: 1.0000e-02 eta: 1 day, 17:47:41 time: 0.4567 data_time: 0.0157 memory: 17087 grad_norm: 5.2033 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5068 loss: 1.5068 2022/08/04 01:23:50 - mmengine - INFO - Epoch(train) [71][960/1879] lr: 1.0000e-02 eta: 1 day, 17:47:32 time: 0.4270 data_time: 0.0179 memory: 17087 grad_norm: 4.9170 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4727 loss: 1.4727 2022/08/04 01:23:59 - mmengine - INFO - Epoch(train) [71][980/1879] lr: 1.0000e-02 eta: 1 day, 17:47:25 time: 0.4508 data_time: 0.0152 memory: 17087 grad_norm: 5.2002 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5558 loss: 1.5558 2022/08/04 01:24:08 - mmengine - INFO - Epoch(train) [71][1000/1879] lr: 1.0000e-02 eta: 1 day, 17:47:16 time: 0.4287 data_time: 0.0154 memory: 17087 grad_norm: 5.1180 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3633 loss: 1.3633 2022/08/04 01:24:16 - mmengine - INFO - Epoch(train) [71][1020/1879] lr: 1.0000e-02 eta: 1 day, 17:47:07 time: 0.4249 data_time: 0.0146 memory: 17087 grad_norm: 5.1030 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5869 loss: 1.5869 2022/08/04 01:24:25 - mmengine - INFO - Epoch(train) [71][1040/1879] lr: 1.0000e-02 eta: 1 day, 17:46:59 time: 0.4390 data_time: 0.0168 memory: 17087 grad_norm: 5.0268 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4482 loss: 1.4482 2022/08/04 01:24:33 - mmengine - INFO - Epoch(train) [71][1060/1879] lr: 1.0000e-02 eta: 1 day, 17:46:50 time: 0.4264 data_time: 0.0139 memory: 17087 grad_norm: 5.3314 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6418 loss: 1.6418 2022/08/04 01:24:42 - mmengine - INFO - Epoch(train) [71][1080/1879] lr: 1.0000e-02 eta: 1 day, 17:46:42 time: 0.4461 data_time: 0.0172 memory: 17087 grad_norm: 5.2033 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4681 loss: 1.4681 2022/08/04 01:24:51 - mmengine - INFO - Epoch(train) [71][1100/1879] lr: 1.0000e-02 eta: 1 day, 17:46:33 time: 0.4242 data_time: 0.0124 memory: 17087 grad_norm: 5.2296 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4173 loss: 1.4173 2022/08/04 01:25:00 - mmengine - INFO - Epoch(train) [71][1120/1879] lr: 1.0000e-02 eta: 1 day, 17:46:25 time: 0.4475 data_time: 0.0170 memory: 17087 grad_norm: 5.1021 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5267 loss: 1.5267 2022/08/04 01:25:08 - mmengine - INFO - Epoch(train) [71][1140/1879] lr: 1.0000e-02 eta: 1 day, 17:46:16 time: 0.4255 data_time: 0.0146 memory: 17087 grad_norm: 5.1782 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7870 loss: 1.7870 2022/08/04 01:25:17 - mmengine - INFO - Epoch(train) [71][1160/1879] lr: 1.0000e-02 eta: 1 day, 17:46:07 time: 0.4295 data_time: 0.0157 memory: 17087 grad_norm: 5.2520 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3857 loss: 1.3857 2022/08/04 01:25:26 - mmengine - INFO - Epoch(train) [71][1180/1879] lr: 1.0000e-02 eta: 1 day, 17:45:58 time: 0.4296 data_time: 0.0136 memory: 17087 grad_norm: 5.2321 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6155 loss: 1.6155 2022/08/04 01:25:34 - mmengine - INFO - Epoch(train) [71][1200/1879] lr: 1.0000e-02 eta: 1 day, 17:45:50 time: 0.4272 data_time: 0.0146 memory: 17087 grad_norm: 5.0377 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5587 loss: 1.5587 2022/08/04 01:25:43 - mmengine - INFO - Epoch(train) [71][1220/1879] lr: 1.0000e-02 eta: 1 day, 17:45:41 time: 0.4276 data_time: 0.0154 memory: 17087 grad_norm: 5.2462 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5788 loss: 1.5788 2022/08/04 01:25:51 - mmengine - INFO - Epoch(train) [71][1240/1879] lr: 1.0000e-02 eta: 1 day, 17:45:32 time: 0.4261 data_time: 0.0168 memory: 17087 grad_norm: 5.1883 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4003 loss: 1.4003 2022/08/04 01:26:00 - mmengine - INFO - Epoch(train) [71][1260/1879] lr: 1.0000e-02 eta: 1 day, 17:45:23 time: 0.4355 data_time: 0.0150 memory: 17087 grad_norm: 5.1596 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5439 loss: 1.5439 2022/08/04 01:26:08 - mmengine - INFO - Epoch(train) [71][1280/1879] lr: 1.0000e-02 eta: 1 day, 17:45:15 time: 0.4284 data_time: 0.0156 memory: 17087 grad_norm: 5.1995 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5526 loss: 1.5526 2022/08/04 01:26:17 - mmengine - INFO - Epoch(train) [71][1300/1879] lr: 1.0000e-02 eta: 1 day, 17:45:06 time: 0.4322 data_time: 0.0133 memory: 17087 grad_norm: 5.1803 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4396 loss: 1.4396 2022/08/04 01:26:26 - mmengine - INFO - Epoch(train) [71][1320/1879] lr: 1.0000e-02 eta: 1 day, 17:44:58 time: 0.4480 data_time: 0.0168 memory: 17087 grad_norm: 5.1101 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7484 loss: 1.7484 2022/08/04 01:26:35 - mmengine - INFO - Epoch(train) [71][1340/1879] lr: 1.0000e-02 eta: 1 day, 17:44:49 time: 0.4253 data_time: 0.0132 memory: 17087 grad_norm: 5.0509 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5017 loss: 1.5017 2022/08/04 01:26:43 - mmengine - INFO - Epoch(train) [71][1360/1879] lr: 1.0000e-02 eta: 1 day, 17:44:41 time: 0.4412 data_time: 0.0166 memory: 17087 grad_norm: 5.2711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4271 loss: 1.4271 2022/08/04 01:26:52 - mmengine - INFO - Epoch(train) [71][1380/1879] lr: 1.0000e-02 eta: 1 day, 17:44:32 time: 0.4250 data_time: 0.0140 memory: 17087 grad_norm: 5.1718 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4785 loss: 1.4785 2022/08/04 01:27:01 - mmengine - INFO - Epoch(train) [71][1400/1879] lr: 1.0000e-02 eta: 1 day, 17:44:24 time: 0.4320 data_time: 0.0158 memory: 17087 grad_norm: 5.1402 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4798 loss: 1.4798 2022/08/04 01:27:09 - mmengine - INFO - Epoch(train) [71][1420/1879] lr: 1.0000e-02 eta: 1 day, 17:44:14 time: 0.4240 data_time: 0.0134 memory: 17087 grad_norm: 5.2401 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4811 loss: 1.4811 2022/08/04 01:27:18 - mmengine - INFO - Epoch(train) [71][1440/1879] lr: 1.0000e-02 eta: 1 day, 17:44:06 time: 0.4311 data_time: 0.0167 memory: 17087 grad_norm: 5.1699 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5073 loss: 1.5073 2022/08/04 01:27:26 - mmengine - INFO - Epoch(train) [71][1460/1879] lr: 1.0000e-02 eta: 1 day, 17:43:57 time: 0.4242 data_time: 0.0138 memory: 17087 grad_norm: 5.2980 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5888 loss: 1.5888 2022/08/04 01:27:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 01:27:35 - mmengine - INFO - Epoch(train) [71][1480/1879] lr: 1.0000e-02 eta: 1 day, 17:43:48 time: 0.4313 data_time: 0.0191 memory: 17087 grad_norm: 5.1264 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4823 loss: 1.4823 2022/08/04 01:27:43 - mmengine - INFO - Epoch(train) [71][1500/1879] lr: 1.0000e-02 eta: 1 day, 17:43:39 time: 0.4276 data_time: 0.0138 memory: 17087 grad_norm: 5.1754 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6707 loss: 1.6707 2022/08/04 01:27:52 - mmengine - INFO - Epoch(train) [71][1520/1879] lr: 1.0000e-02 eta: 1 day, 17:43:31 time: 0.4304 data_time: 0.0203 memory: 17087 grad_norm: 5.2836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6822 loss: 1.6822 2022/08/04 01:28:01 - mmengine - INFO - Epoch(train) [71][1540/1879] lr: 1.0000e-02 eta: 1 day, 17:43:22 time: 0.4296 data_time: 0.0136 memory: 17087 grad_norm: 5.3035 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4534 loss: 1.4534 2022/08/04 01:28:09 - mmengine - INFO - Epoch(train) [71][1560/1879] lr: 1.0000e-02 eta: 1 day, 17:43:13 time: 0.4298 data_time: 0.0181 memory: 17087 grad_norm: 5.1818 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4639 loss: 1.4639 2022/08/04 01:28:18 - mmengine - INFO - Epoch(train) [71][1580/1879] lr: 1.0000e-02 eta: 1 day, 17:43:04 time: 0.4250 data_time: 0.0143 memory: 17087 grad_norm: 5.1823 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4717 loss: 1.4717 2022/08/04 01:28:26 - mmengine - INFO - Epoch(train) [71][1600/1879] lr: 1.0000e-02 eta: 1 day, 17:42:55 time: 0.4268 data_time: 0.0161 memory: 17087 grad_norm: 5.2094 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6573 loss: 1.6573 2022/08/04 01:28:35 - mmengine - INFO - Epoch(train) [71][1620/1879] lr: 1.0000e-02 eta: 1 day, 17:42:47 time: 0.4400 data_time: 0.0134 memory: 17087 grad_norm: 5.1330 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6065 loss: 1.6065 2022/08/04 01:28:44 - mmengine - INFO - Epoch(train) [71][1640/1879] lr: 1.0000e-02 eta: 1 day, 17:42:38 time: 0.4323 data_time: 0.0156 memory: 17087 grad_norm: 5.0205 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7354 loss: 1.7354 2022/08/04 01:28:53 - mmengine - INFO - Epoch(train) [71][1660/1879] lr: 1.0000e-02 eta: 1 day, 17:42:31 time: 0.4449 data_time: 0.0166 memory: 17087 grad_norm: 5.2033 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7728 loss: 1.7728 2022/08/04 01:29:01 - mmengine - INFO - Epoch(train) [71][1680/1879] lr: 1.0000e-02 eta: 1 day, 17:42:22 time: 0.4292 data_time: 0.0168 memory: 17087 grad_norm: 5.2493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5640 loss: 1.5640 2022/08/04 01:29:10 - mmengine - INFO - Epoch(train) [71][1700/1879] lr: 1.0000e-02 eta: 1 day, 17:42:13 time: 0.4365 data_time: 0.0159 memory: 17087 grad_norm: 5.1661 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5285 loss: 1.5285 2022/08/04 01:29:19 - mmengine - INFO - Epoch(train) [71][1720/1879] lr: 1.0000e-02 eta: 1 day, 17:42:05 time: 0.4320 data_time: 0.0166 memory: 17087 grad_norm: 5.2126 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6633 loss: 1.6633 2022/08/04 01:29:27 - mmengine - INFO - Epoch(train) [71][1740/1879] lr: 1.0000e-02 eta: 1 day, 17:41:56 time: 0.4254 data_time: 0.0152 memory: 17087 grad_norm: 5.1959 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.4428 loss: 1.4428 2022/08/04 01:29:36 - mmengine - INFO - Epoch(train) [71][1760/1879] lr: 1.0000e-02 eta: 1 day, 17:41:47 time: 0.4340 data_time: 0.0159 memory: 17087 grad_norm: 5.1105 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5652 loss: 1.5652 2022/08/04 01:29:45 - mmengine - INFO - Epoch(train) [71][1780/1879] lr: 1.0000e-02 eta: 1 day, 17:41:39 time: 0.4312 data_time: 0.0150 memory: 17087 grad_norm: 5.1665 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4105 loss: 1.4105 2022/08/04 01:29:53 - mmengine - INFO - Epoch(train) [71][1800/1879] lr: 1.0000e-02 eta: 1 day, 17:41:30 time: 0.4309 data_time: 0.0183 memory: 17087 grad_norm: 5.2018 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4899 loss: 1.4899 2022/08/04 01:30:02 - mmengine - INFO - Epoch(train) [71][1820/1879] lr: 1.0000e-02 eta: 1 day, 17:41:21 time: 0.4258 data_time: 0.0139 memory: 17087 grad_norm: 5.0919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4088 loss: 1.4088 2022/08/04 01:30:11 - mmengine - INFO - Epoch(train) [71][1840/1879] lr: 1.0000e-02 eta: 1 day, 17:41:14 time: 0.4545 data_time: 0.0215 memory: 17087 grad_norm: 5.1220 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5336 loss: 1.5336 2022/08/04 01:30:19 - mmengine - INFO - Epoch(train) [71][1860/1879] lr: 1.0000e-02 eta: 1 day, 17:41:05 time: 0.4253 data_time: 0.0143 memory: 17087 grad_norm: 5.0196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4511 loss: 1.4511 2022/08/04 01:30:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 01:30:27 - mmengine - INFO - Epoch(train) [71][1879/1879] lr: 1.0000e-02 eta: 1 day, 17:41:05 time: 0.4047 data_time: 0.0139 memory: 17087 grad_norm: 5.3567 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.5572 loss: 1.5572 2022/08/04 01:30:39 - mmengine - INFO - Epoch(train) [72][20/1879] lr: 1.0000e-02 eta: 1 day, 17:40:34 time: 0.5771 data_time: 0.1330 memory: 17087 grad_norm: 5.1471 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6209 loss: 1.6209 2022/08/04 01:30:47 - mmengine - INFO - Epoch(train) [72][40/1879] lr: 1.0000e-02 eta: 1 day, 17:40:25 time: 0.4263 data_time: 0.0139 memory: 17087 grad_norm: 4.9482 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4744 loss: 1.4744 2022/08/04 01:30:56 - mmengine - INFO - Epoch(train) [72][60/1879] lr: 1.0000e-02 eta: 1 day, 17:40:16 time: 0.4303 data_time: 0.0135 memory: 17087 grad_norm: 5.0657 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5271 loss: 1.5271 2022/08/04 01:31:04 - mmengine - INFO - Epoch(train) [72][80/1879] lr: 1.0000e-02 eta: 1 day, 17:40:08 time: 0.4330 data_time: 0.0163 memory: 17087 grad_norm: 5.1780 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3508 loss: 1.3508 2022/08/04 01:31:13 - mmengine - INFO - Epoch(train) [72][100/1879] lr: 1.0000e-02 eta: 1 day, 17:40:00 time: 0.4477 data_time: 0.0178 memory: 17087 grad_norm: 5.2056 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4097 loss: 1.4097 2022/08/04 01:31:22 - mmengine - INFO - Epoch(train) [72][120/1879] lr: 1.0000e-02 eta: 1 day, 17:39:51 time: 0.4281 data_time: 0.0153 memory: 17087 grad_norm: 5.1989 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.5698 loss: 1.5698 2022/08/04 01:31:31 - mmengine - INFO - Epoch(train) [72][140/1879] lr: 1.0000e-02 eta: 1 day, 17:39:44 time: 0.4633 data_time: 0.0209 memory: 17087 grad_norm: 5.1299 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5117 loss: 1.5117 2022/08/04 01:31:40 - mmengine - INFO - Epoch(train) [72][160/1879] lr: 1.0000e-02 eta: 1 day, 17:39:35 time: 0.4246 data_time: 0.0148 memory: 17087 grad_norm: 5.3129 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5536 loss: 1.5536 2022/08/04 01:31:49 - mmengine - INFO - Epoch(train) [72][180/1879] lr: 1.0000e-02 eta: 1 day, 17:39:27 time: 0.4459 data_time: 0.0227 memory: 17087 grad_norm: 5.2219 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2545 loss: 1.2545 2022/08/04 01:31:57 - mmengine - INFO - Epoch(train) [72][200/1879] lr: 1.0000e-02 eta: 1 day, 17:39:18 time: 0.4258 data_time: 0.0158 memory: 17087 grad_norm: 5.1630 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4506 loss: 1.4506 2022/08/04 01:32:06 - mmengine - INFO - Epoch(train) [72][220/1879] lr: 1.0000e-02 eta: 1 day, 17:39:10 time: 0.4349 data_time: 0.0203 memory: 17087 grad_norm: 5.0927 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4722 loss: 1.4722 2022/08/04 01:32:15 - mmengine - INFO - Epoch(train) [72][240/1879] lr: 1.0000e-02 eta: 1 day, 17:39:02 time: 0.4450 data_time: 0.0157 memory: 17087 grad_norm: 5.1276 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6394 loss: 1.6394 2022/08/04 01:32:23 - mmengine - INFO - Epoch(train) [72][260/1879] lr: 1.0000e-02 eta: 1 day, 17:38:53 time: 0.4346 data_time: 0.0168 memory: 17087 grad_norm: 5.1258 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6314 loss: 1.6314 2022/08/04 01:32:32 - mmengine - INFO - Epoch(train) [72][280/1879] lr: 1.0000e-02 eta: 1 day, 17:38:45 time: 0.4255 data_time: 0.0155 memory: 17087 grad_norm: 5.1684 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3694 loss: 1.3694 2022/08/04 01:32:41 - mmengine - INFO - Epoch(train) [72][300/1879] lr: 1.0000e-02 eta: 1 day, 17:38:37 time: 0.4490 data_time: 0.0152 memory: 17087 grad_norm: 5.0404 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5420 loss: 1.5420 2022/08/04 01:32:49 - mmengine - INFO - Epoch(train) [72][320/1879] lr: 1.0000e-02 eta: 1 day, 17:38:28 time: 0.4242 data_time: 0.0175 memory: 17087 grad_norm: 4.9880 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6258 loss: 1.6258 2022/08/04 01:32:58 - mmengine - INFO - Epoch(train) [72][340/1879] lr: 1.0000e-02 eta: 1 day, 17:38:19 time: 0.4369 data_time: 0.0173 memory: 17087 grad_norm: 5.1818 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4994 loss: 1.4994 2022/08/04 01:33:07 - mmengine - INFO - Epoch(train) [72][360/1879] lr: 1.0000e-02 eta: 1 day, 17:38:10 time: 0.4260 data_time: 0.0162 memory: 17087 grad_norm: 5.0034 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5058 loss: 1.5058 2022/08/04 01:33:15 - mmengine - INFO - Epoch(train) [72][380/1879] lr: 1.0000e-02 eta: 1 day, 17:38:02 time: 0.4274 data_time: 0.0146 memory: 17087 grad_norm: 5.2227 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6573 loss: 1.6573 2022/08/04 01:33:24 - mmengine - INFO - Epoch(train) [72][400/1879] lr: 1.0000e-02 eta: 1 day, 17:37:53 time: 0.4380 data_time: 0.0172 memory: 17087 grad_norm: 5.1579 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.7320 loss: 1.7320 2022/08/04 01:33:33 - mmengine - INFO - Epoch(train) [72][420/1879] lr: 1.0000e-02 eta: 1 day, 17:37:45 time: 0.4302 data_time: 0.0158 memory: 17087 grad_norm: 5.1477 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4358 loss: 1.4358 2022/08/04 01:33:41 - mmengine - INFO - Epoch(train) [72][440/1879] lr: 1.0000e-02 eta: 1 day, 17:37:36 time: 0.4289 data_time: 0.0158 memory: 17087 grad_norm: 4.9959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4796 loss: 1.4796 2022/08/04 01:33:50 - mmengine - INFO - Epoch(train) [72][460/1879] lr: 1.0000e-02 eta: 1 day, 17:37:27 time: 0.4294 data_time: 0.0166 memory: 17087 grad_norm: 5.1213 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5760 loss: 1.5760 2022/08/04 01:33:59 - mmengine - INFO - Epoch(train) [72][480/1879] lr: 1.0000e-02 eta: 1 day, 17:37:20 time: 0.4567 data_time: 0.0158 memory: 17087 grad_norm: 4.9418 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5780 loss: 1.5780 2022/08/04 01:34:08 - mmengine - INFO - Epoch(train) [72][500/1879] lr: 1.0000e-02 eta: 1 day, 17:37:11 time: 0.4247 data_time: 0.0143 memory: 17087 grad_norm: 5.2478 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4164 loss: 1.4164 2022/08/04 01:34:17 - mmengine - INFO - Epoch(train) [72][520/1879] lr: 1.0000e-02 eta: 1 day, 17:37:03 time: 0.4558 data_time: 0.0205 memory: 17087 grad_norm: 5.0210 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8222 loss: 1.8222 2022/08/04 01:34:25 - mmengine - INFO - Epoch(train) [72][540/1879] lr: 1.0000e-02 eta: 1 day, 17:36:54 time: 0.4232 data_time: 0.0130 memory: 17087 grad_norm: 5.0784 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4238 loss: 1.4238 2022/08/04 01:34:34 - mmengine - INFO - Epoch(train) [72][560/1879] lr: 1.0000e-02 eta: 1 day, 17:36:46 time: 0.4313 data_time: 0.0180 memory: 17087 grad_norm: 5.0102 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5807 loss: 1.5807 2022/08/04 01:34:42 - mmengine - INFO - Epoch(train) [72][580/1879] lr: 1.0000e-02 eta: 1 day, 17:36:37 time: 0.4252 data_time: 0.0140 memory: 17087 grad_norm: 5.2555 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5496 loss: 1.5496 2022/08/04 01:34:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 01:34:51 - mmengine - INFO - Epoch(train) [72][600/1879] lr: 1.0000e-02 eta: 1 day, 17:36:29 time: 0.4568 data_time: 0.0165 memory: 17087 grad_norm: 5.2129 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4989 loss: 1.4989 2022/08/04 01:35:00 - mmengine - INFO - Epoch(train) [72][620/1879] lr: 1.0000e-02 eta: 1 day, 17:36:20 time: 0.4253 data_time: 0.0158 memory: 17087 grad_norm: 5.1725 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5240 loss: 1.5240 2022/08/04 01:35:09 - mmengine - INFO - Epoch(train) [72][640/1879] lr: 1.0000e-02 eta: 1 day, 17:36:12 time: 0.4351 data_time: 0.0172 memory: 17087 grad_norm: 5.1020 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7267 loss: 1.7267 2022/08/04 01:35:17 - mmengine - INFO - Epoch(train) [72][660/1879] lr: 1.0000e-02 eta: 1 day, 17:36:03 time: 0.4245 data_time: 0.0146 memory: 17087 grad_norm: 5.0271 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3691 loss: 1.3691 2022/08/04 01:35:26 - mmengine - INFO - Epoch(train) [72][680/1879] lr: 1.0000e-02 eta: 1 day, 17:35:54 time: 0.4277 data_time: 0.0169 memory: 17087 grad_norm: 5.1721 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5825 loss: 1.5825 2022/08/04 01:35:35 - mmengine - INFO - Epoch(train) [72][700/1879] lr: 1.0000e-02 eta: 1 day, 17:35:47 time: 0.4544 data_time: 0.0155 memory: 17087 grad_norm: 5.1942 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4695 loss: 1.4695 2022/08/04 01:35:43 - mmengine - INFO - Epoch(train) [72][720/1879] lr: 1.0000e-02 eta: 1 day, 17:35:38 time: 0.4279 data_time: 0.0153 memory: 17087 grad_norm: 5.1479 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6788 loss: 1.6788 2022/08/04 01:35:52 - mmengine - INFO - Epoch(train) [72][740/1879] lr: 1.0000e-02 eta: 1 day, 17:35:29 time: 0.4336 data_time: 0.0148 memory: 17087 grad_norm: 5.1541 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.5237 loss: 1.5237 2022/08/04 01:36:01 - mmengine - INFO - Epoch(train) [72][760/1879] lr: 1.0000e-02 eta: 1 day, 17:35:20 time: 0.4267 data_time: 0.0159 memory: 17087 grad_norm: 5.0738 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3681 loss: 1.3681 2022/08/04 01:36:09 - mmengine - INFO - Epoch(train) [72][780/1879] lr: 1.0000e-02 eta: 1 day, 17:35:12 time: 0.4383 data_time: 0.0134 memory: 17087 grad_norm: 5.1910 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5344 loss: 1.5344 2022/08/04 01:36:18 - mmengine - INFO - Epoch(train) [72][800/1879] lr: 1.0000e-02 eta: 1 day, 17:35:03 time: 0.4266 data_time: 0.0155 memory: 17087 grad_norm: 5.2554 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3837 loss: 1.3837 2022/08/04 01:36:27 - mmengine - INFO - Epoch(train) [72][820/1879] lr: 1.0000e-02 eta: 1 day, 17:34:54 time: 0.4295 data_time: 0.0129 memory: 17087 grad_norm: 5.0311 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6987 loss: 1.6987 2022/08/04 01:36:36 - mmengine - INFO - Epoch(train) [72][840/1879] lr: 1.0000e-02 eta: 1 day, 17:34:47 time: 0.4588 data_time: 0.0165 memory: 17087 grad_norm: 5.0523 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5917 loss: 1.5917 2022/08/04 01:36:44 - mmengine - INFO - Epoch(train) [72][860/1879] lr: 1.0000e-02 eta: 1 day, 17:34:38 time: 0.4259 data_time: 0.0138 memory: 17087 grad_norm: 5.1793 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3858 loss: 1.3858 2022/08/04 01:36:53 - mmengine - INFO - Epoch(train) [72][880/1879] lr: 1.0000e-02 eta: 1 day, 17:34:30 time: 0.4344 data_time: 0.0212 memory: 17087 grad_norm: 5.1641 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5843 loss: 1.5843 2022/08/04 01:37:01 - mmengine - INFO - Epoch(train) [72][900/1879] lr: 1.0000e-02 eta: 1 day, 17:34:21 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 5.2749 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5132 loss: 1.5132 2022/08/04 01:37:11 - mmengine - INFO - Epoch(train) [72][920/1879] lr: 1.0000e-02 eta: 1 day, 17:34:14 time: 0.4573 data_time: 0.0192 memory: 17087 grad_norm: 5.1236 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4084 loss: 1.4084 2022/08/04 01:37:19 - mmengine - INFO - Epoch(train) [72][940/1879] lr: 1.0000e-02 eta: 1 day, 17:34:05 time: 0.4297 data_time: 0.0188 memory: 17087 grad_norm: 5.0358 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4882 loss: 1.4882 2022/08/04 01:37:28 - mmengine - INFO - Epoch(train) [72][960/1879] lr: 1.0000e-02 eta: 1 day, 17:33:56 time: 0.4256 data_time: 0.0154 memory: 17087 grad_norm: 5.1776 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7020 loss: 1.7020 2022/08/04 01:37:36 - mmengine - INFO - Epoch(train) [72][980/1879] lr: 1.0000e-02 eta: 1 day, 17:33:47 time: 0.4276 data_time: 0.0154 memory: 17087 grad_norm: 5.1766 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6990 loss: 1.6990 2022/08/04 01:37:45 - mmengine - INFO - Epoch(train) [72][1000/1879] lr: 1.0000e-02 eta: 1 day, 17:33:38 time: 0.4262 data_time: 0.0147 memory: 17087 grad_norm: 5.2818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5295 loss: 1.5295 2022/08/04 01:37:53 - mmengine - INFO - Epoch(train) [72][1020/1879] lr: 1.0000e-02 eta: 1 day, 17:33:30 time: 0.4328 data_time: 0.0171 memory: 17087 grad_norm: 5.1850 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6618 loss: 1.6618 2022/08/04 01:38:02 - mmengine - INFO - Epoch(train) [72][1040/1879] lr: 1.0000e-02 eta: 1 day, 17:33:21 time: 0.4382 data_time: 0.0169 memory: 17087 grad_norm: 5.1065 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4377 loss: 1.4377 2022/08/04 01:38:11 - mmengine - INFO - Epoch(train) [72][1060/1879] lr: 1.0000e-02 eta: 1 day, 17:33:12 time: 0.4280 data_time: 0.0148 memory: 17087 grad_norm: 5.2109 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4200 loss: 1.4200 2022/08/04 01:38:20 - mmengine - INFO - Epoch(train) [72][1080/1879] lr: 1.0000e-02 eta: 1 day, 17:33:04 time: 0.4385 data_time: 0.0181 memory: 17087 grad_norm: 5.1536 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.9746 loss: 1.9746 2022/08/04 01:38:28 - mmengine - INFO - Epoch(train) [72][1100/1879] lr: 1.0000e-02 eta: 1 day, 17:32:55 time: 0.4291 data_time: 0.0151 memory: 17087 grad_norm: 5.1484 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.5623 loss: 1.5623 2022/08/04 01:38:37 - mmengine - INFO - Epoch(train) [72][1120/1879] lr: 1.0000e-02 eta: 1 day, 17:32:47 time: 0.4262 data_time: 0.0153 memory: 17087 grad_norm: 5.2076 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3940 loss: 1.3940 2022/08/04 01:38:46 - mmengine - INFO - Epoch(train) [72][1140/1879] lr: 1.0000e-02 eta: 1 day, 17:32:38 time: 0.4425 data_time: 0.0167 memory: 17087 grad_norm: 5.2095 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4392 loss: 1.4392 2022/08/04 01:38:54 - mmengine - INFO - Epoch(train) [72][1160/1879] lr: 1.0000e-02 eta: 1 day, 17:32:30 time: 0.4309 data_time: 0.0167 memory: 17087 grad_norm: 5.0697 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5981 loss: 1.5981 2022/08/04 01:39:03 - mmengine - INFO - Epoch(train) [72][1180/1879] lr: 1.0000e-02 eta: 1 day, 17:32:22 time: 0.4579 data_time: 0.0169 memory: 17087 grad_norm: 5.1795 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4746 loss: 1.4746 2022/08/04 01:39:12 - mmengine - INFO - Epoch(train) [72][1200/1879] lr: 1.0000e-02 eta: 1 day, 17:32:14 time: 0.4436 data_time: 0.0175 memory: 17087 grad_norm: 5.2017 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4003 loss: 1.4003 2022/08/04 01:39:21 - mmengine - INFO - Epoch(train) [72][1220/1879] lr: 1.0000e-02 eta: 1 day, 17:32:07 time: 0.4530 data_time: 0.0168 memory: 17087 grad_norm: 5.3196 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7905 loss: 1.7905 2022/08/04 01:39:30 - mmengine - INFO - Epoch(train) [72][1240/1879] lr: 1.0000e-02 eta: 1 day, 17:31:58 time: 0.4290 data_time: 0.0172 memory: 17087 grad_norm: 5.0290 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5546 loss: 1.5546 2022/08/04 01:39:39 - mmengine - INFO - Epoch(train) [72][1260/1879] lr: 1.0000e-02 eta: 1 day, 17:31:50 time: 0.4402 data_time: 0.0154 memory: 17087 grad_norm: 5.2667 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4128 loss: 1.4128 2022/08/04 01:39:47 - mmengine - INFO - Epoch(train) [72][1280/1879] lr: 1.0000e-02 eta: 1 day, 17:31:41 time: 0.4305 data_time: 0.0150 memory: 17087 grad_norm: 5.2260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6208 loss: 1.6208 2022/08/04 01:39:56 - mmengine - INFO - Epoch(train) [72][1300/1879] lr: 1.0000e-02 eta: 1 day, 17:31:33 time: 0.4302 data_time: 0.0147 memory: 17087 grad_norm: 5.1311 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6849 loss: 1.6849 2022/08/04 01:40:05 - mmengine - INFO - Epoch(train) [72][1320/1879] lr: 1.0000e-02 eta: 1 day, 17:31:26 time: 0.4634 data_time: 0.0181 memory: 17087 grad_norm: 5.1989 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4331 loss: 1.4331 2022/08/04 01:40:14 - mmengine - INFO - Epoch(train) [72][1340/1879] lr: 1.0000e-02 eta: 1 day, 17:31:17 time: 0.4256 data_time: 0.0161 memory: 17087 grad_norm: 5.0588 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.7119 loss: 1.7119 2022/08/04 01:40:22 - mmengine - INFO - Epoch(train) [72][1360/1879] lr: 1.0000e-02 eta: 1 day, 17:31:08 time: 0.4304 data_time: 0.0169 memory: 17087 grad_norm: 4.9322 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3312 loss: 1.3312 2022/08/04 01:40:31 - mmengine - INFO - Epoch(train) [72][1380/1879] lr: 1.0000e-02 eta: 1 day, 17:31:00 time: 0.4424 data_time: 0.0153 memory: 17087 grad_norm: 5.1464 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5567 loss: 1.5567 2022/08/04 01:40:40 - mmengine - INFO - Epoch(train) [72][1400/1879] lr: 1.0000e-02 eta: 1 day, 17:30:51 time: 0.4317 data_time: 0.0153 memory: 17087 grad_norm: 5.0730 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4074 loss: 1.4074 2022/08/04 01:40:49 - mmengine - INFO - Epoch(train) [72][1420/1879] lr: 1.0000e-02 eta: 1 day, 17:30:42 time: 0.4302 data_time: 0.0149 memory: 17087 grad_norm: 5.1572 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4999 loss: 1.4999 2022/08/04 01:40:57 - mmengine - INFO - Epoch(train) [72][1440/1879] lr: 1.0000e-02 eta: 1 day, 17:30:34 time: 0.4387 data_time: 0.0153 memory: 17087 grad_norm: 5.2402 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5311 loss: 1.5311 2022/08/04 01:41:06 - mmengine - INFO - Epoch(train) [72][1460/1879] lr: 1.0000e-02 eta: 1 day, 17:30:25 time: 0.4278 data_time: 0.0142 memory: 17087 grad_norm: 5.2563 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6471 loss: 1.6471 2022/08/04 01:41:14 - mmengine - INFO - Epoch(train) [72][1480/1879] lr: 1.0000e-02 eta: 1 day, 17:30:17 time: 0.4278 data_time: 0.0162 memory: 17087 grad_norm: 5.1624 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4697 loss: 1.4697 2022/08/04 01:41:24 - mmengine - INFO - Epoch(train) [72][1500/1879] lr: 1.0000e-02 eta: 1 day, 17:30:09 time: 0.4546 data_time: 0.0157 memory: 17087 grad_norm: 5.1955 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4933 loss: 1.4933 2022/08/04 01:41:32 - mmengine - INFO - Epoch(train) [72][1520/1879] lr: 1.0000e-02 eta: 1 day, 17:30:00 time: 0.4310 data_time: 0.0157 memory: 17087 grad_norm: 5.2638 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7215 loss: 1.7215 2022/08/04 01:41:41 - mmengine - INFO - Epoch(train) [72][1540/1879] lr: 1.0000e-02 eta: 1 day, 17:29:53 time: 0.4534 data_time: 0.0164 memory: 17087 grad_norm: 5.3264 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4496 loss: 1.4496 2022/08/04 01:41:50 - mmengine - INFO - Epoch(train) [72][1560/1879] lr: 1.0000e-02 eta: 1 day, 17:29:44 time: 0.4276 data_time: 0.0165 memory: 17087 grad_norm: 5.1125 top1_acc: 0.3750 top5_acc: 0.4375 loss_cls: 1.4254 loss: 1.4254 2022/08/04 01:41:58 - mmengine - INFO - Epoch(train) [72][1580/1879] lr: 1.0000e-02 eta: 1 day, 17:29:35 time: 0.4272 data_time: 0.0145 memory: 17087 grad_norm: 5.2125 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5697 loss: 1.5697 2022/08/04 01:42:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 01:42:07 - mmengine - INFO - Epoch(train) [72][1600/1879] lr: 1.0000e-02 eta: 1 day, 17:29:27 time: 0.4389 data_time: 0.0180 memory: 17087 grad_norm: 5.2723 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4334 loss: 1.4334 2022/08/04 01:42:16 - mmengine - INFO - Epoch(train) [72][1620/1879] lr: 1.0000e-02 eta: 1 day, 17:29:18 time: 0.4246 data_time: 0.0153 memory: 17087 grad_norm: 5.2059 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.3706 loss: 1.3706 2022/08/04 01:42:25 - mmengine - INFO - Epoch(train) [72][1640/1879] lr: 1.0000e-02 eta: 1 day, 17:29:10 time: 0.4427 data_time: 0.0213 memory: 17087 grad_norm: 5.3523 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6044 loss: 1.6044 2022/08/04 01:42:33 - mmengine - INFO - Epoch(train) [72][1660/1879] lr: 1.0000e-02 eta: 1 day, 17:29:01 time: 0.4259 data_time: 0.0151 memory: 17087 grad_norm: 5.1020 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4969 loss: 1.4969 2022/08/04 01:42:42 - mmengine - INFO - Epoch(train) [72][1680/1879] lr: 1.0000e-02 eta: 1 day, 17:28:54 time: 0.4555 data_time: 0.0167 memory: 17087 grad_norm: 5.1360 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6266 loss: 1.6266 2022/08/04 01:42:51 - mmengine - INFO - Epoch(train) [72][1700/1879] lr: 1.0000e-02 eta: 1 day, 17:28:45 time: 0.4272 data_time: 0.0146 memory: 17087 grad_norm: 5.1839 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7530 loss: 1.7530 2022/08/04 01:42:59 - mmengine - INFO - Epoch(train) [72][1720/1879] lr: 1.0000e-02 eta: 1 day, 17:28:36 time: 0.4319 data_time: 0.0162 memory: 17087 grad_norm: 5.3472 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7895 loss: 1.7895 2022/08/04 01:43:08 - mmengine - INFO - Epoch(train) [72][1740/1879] lr: 1.0000e-02 eta: 1 day, 17:28:27 time: 0.4275 data_time: 0.0156 memory: 17087 grad_norm: 5.0311 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4161 loss: 1.4161 2022/08/04 01:43:17 - mmengine - INFO - Epoch(train) [72][1760/1879] lr: 1.0000e-02 eta: 1 day, 17:28:19 time: 0.4321 data_time: 0.0153 memory: 17087 grad_norm: 5.0853 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4592 loss: 1.4592 2022/08/04 01:43:26 - mmengine - INFO - Epoch(train) [72][1780/1879] lr: 1.0000e-02 eta: 1 day, 17:28:11 time: 0.4565 data_time: 0.0162 memory: 17087 grad_norm: 5.1167 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5121 loss: 1.5121 2022/08/04 01:43:34 - mmengine - INFO - Epoch(train) [72][1800/1879] lr: 1.0000e-02 eta: 1 day, 17:28:02 time: 0.4260 data_time: 0.0153 memory: 17087 grad_norm: 5.2058 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7320 loss: 1.7320 2022/08/04 01:43:43 - mmengine - INFO - Epoch(train) [72][1820/1879] lr: 1.0000e-02 eta: 1 day, 17:27:54 time: 0.4467 data_time: 0.0168 memory: 17087 grad_norm: 5.1854 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5775 loss: 1.5775 2022/08/04 01:43:52 - mmengine - INFO - Epoch(train) [72][1840/1879] lr: 1.0000e-02 eta: 1 day, 17:27:46 time: 0.4283 data_time: 0.0150 memory: 17087 grad_norm: 5.0174 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.3356 loss: 1.3356 2022/08/04 01:44:01 - mmengine - INFO - Epoch(train) [72][1860/1879] lr: 1.0000e-02 eta: 1 day, 17:27:38 time: 0.4515 data_time: 0.0157 memory: 17087 grad_norm: 5.3457 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5666 loss: 1.5666 2022/08/04 01:44:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 01:44:09 - mmengine - INFO - Epoch(train) [72][1879/1879] lr: 1.0000e-02 eta: 1 day, 17:27:38 time: 0.4074 data_time: 0.0135 memory: 17087 grad_norm: 5.4314 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.4888 loss: 1.4888 2022/08/04 01:44:09 - mmengine - INFO - Saving checkpoint at 72 epochs 2022/08/04 01:44:22 - mmengine - INFO - Epoch(train) [73][20/1879] lr: 1.0000e-02 eta: 1 day, 17:27:04 time: 0.5042 data_time: 0.0913 memory: 17087 grad_norm: 5.1056 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4191 loss: 1.4191 2022/08/04 01:44:31 - mmengine - INFO - Epoch(train) [73][40/1879] lr: 1.0000e-02 eta: 1 day, 17:26:56 time: 0.4414 data_time: 0.0177 memory: 17087 grad_norm: 5.3917 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6260 loss: 1.6260 2022/08/04 01:44:40 - mmengine - INFO - Epoch(train) [73][60/1879] lr: 1.0000e-02 eta: 1 day, 17:26:47 time: 0.4296 data_time: 0.0146 memory: 17087 grad_norm: 5.1078 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4397 loss: 1.4397 2022/08/04 01:44:48 - mmengine - INFO - Epoch(train) [73][80/1879] lr: 1.0000e-02 eta: 1 day, 17:26:38 time: 0.4261 data_time: 0.0157 memory: 17087 grad_norm: 5.1334 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7412 loss: 1.7412 2022/08/04 01:44:57 - mmengine - INFO - Epoch(train) [73][100/1879] lr: 1.0000e-02 eta: 1 day, 17:26:29 time: 0.4298 data_time: 0.0144 memory: 17087 grad_norm: 5.1493 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4133 loss: 1.4133 2022/08/04 01:45:05 - mmengine - INFO - Epoch(train) [73][120/1879] lr: 1.0000e-02 eta: 1 day, 17:26:21 time: 0.4390 data_time: 0.0161 memory: 17087 grad_norm: 5.3093 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6687 loss: 1.6687 2022/08/04 01:45:14 - mmengine - INFO - Epoch(train) [73][140/1879] lr: 1.0000e-02 eta: 1 day, 17:26:13 time: 0.4325 data_time: 0.0137 memory: 17087 grad_norm: 5.3316 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5407 loss: 1.5407 2022/08/04 01:45:23 - mmengine - INFO - Epoch(train) [73][160/1879] lr: 1.0000e-02 eta: 1 day, 17:26:04 time: 0.4270 data_time: 0.0157 memory: 17087 grad_norm: 5.1505 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3832 loss: 1.3832 2022/08/04 01:45:31 - mmengine - INFO - Epoch(train) [73][180/1879] lr: 1.0000e-02 eta: 1 day, 17:25:55 time: 0.4266 data_time: 0.0158 memory: 17087 grad_norm: 5.1035 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2816 loss: 1.2816 2022/08/04 01:45:40 - mmengine - INFO - Epoch(train) [73][200/1879] lr: 1.0000e-02 eta: 1 day, 17:25:47 time: 0.4504 data_time: 0.0152 memory: 17087 grad_norm: 4.9531 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5302 loss: 1.5302 2022/08/04 01:45:49 - mmengine - INFO - Epoch(train) [73][220/1879] lr: 1.0000e-02 eta: 1 day, 17:25:38 time: 0.4241 data_time: 0.0125 memory: 17087 grad_norm: 5.1349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4080 loss: 1.4080 2022/08/04 01:45:57 - mmengine - INFO - Epoch(train) [73][240/1879] lr: 1.0000e-02 eta: 1 day, 17:25:29 time: 0.4266 data_time: 0.0162 memory: 17087 grad_norm: 5.2152 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6332 loss: 1.6332 2022/08/04 01:46:06 - mmengine - INFO - Epoch(train) [73][260/1879] lr: 1.0000e-02 eta: 1 day, 17:25:22 time: 0.4515 data_time: 0.0164 memory: 17087 grad_norm: 5.1991 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5430 loss: 1.5430 2022/08/04 01:46:15 - mmengine - INFO - Epoch(train) [73][280/1879] lr: 1.0000e-02 eta: 1 day, 17:25:13 time: 0.4307 data_time: 0.0181 memory: 17087 grad_norm: 5.3170 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5676 loss: 1.5676 2022/08/04 01:46:24 - mmengine - INFO - Epoch(train) [73][300/1879] lr: 1.0000e-02 eta: 1 day, 17:25:05 time: 0.4515 data_time: 0.0168 memory: 17087 grad_norm: 5.0164 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5704 loss: 1.5704 2022/08/04 01:46:32 - mmengine - INFO - Epoch(train) [73][320/1879] lr: 1.0000e-02 eta: 1 day, 17:24:56 time: 0.4263 data_time: 0.0180 memory: 17087 grad_norm: 5.2309 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5861 loss: 1.5861 2022/08/04 01:46:41 - mmengine - INFO - Epoch(train) [73][340/1879] lr: 1.0000e-02 eta: 1 day, 17:24:48 time: 0.4291 data_time: 0.0142 memory: 17087 grad_norm: 5.0895 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5050 loss: 1.5050 2022/08/04 01:46:50 - mmengine - INFO - Epoch(train) [73][360/1879] lr: 1.0000e-02 eta: 1 day, 17:24:39 time: 0.4271 data_time: 0.0169 memory: 17087 grad_norm: 5.3216 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4943 loss: 1.4943 2022/08/04 01:46:58 - mmengine - INFO - Epoch(train) [73][380/1879] lr: 1.0000e-02 eta: 1 day, 17:24:30 time: 0.4248 data_time: 0.0137 memory: 17087 grad_norm: 5.2693 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5663 loss: 1.5663 2022/08/04 01:47:07 - mmengine - INFO - Epoch(train) [73][400/1879] lr: 1.0000e-02 eta: 1 day, 17:24:22 time: 0.4516 data_time: 0.0166 memory: 17087 grad_norm: 5.2321 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5623 loss: 1.5623 2022/08/04 01:47:16 - mmengine - INFO - Epoch(train) [73][420/1879] lr: 1.0000e-02 eta: 1 day, 17:24:13 time: 0.4257 data_time: 0.0141 memory: 17087 grad_norm: 5.0365 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4896 loss: 1.4896 2022/08/04 01:47:24 - mmengine - INFO - Epoch(train) [73][440/1879] lr: 1.0000e-02 eta: 1 day, 17:24:05 time: 0.4345 data_time: 0.0169 memory: 17087 grad_norm: 5.1725 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4690 loss: 1.4690 2022/08/04 01:47:33 - mmengine - INFO - Epoch(train) [73][460/1879] lr: 1.0000e-02 eta: 1 day, 17:23:56 time: 0.4251 data_time: 0.0147 memory: 17087 grad_norm: 5.2759 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4129 loss: 1.4129 2022/08/04 01:47:42 - mmengine - INFO - Epoch(train) [73][480/1879] lr: 1.0000e-02 eta: 1 day, 17:23:48 time: 0.4556 data_time: 0.0165 memory: 17087 grad_norm: 5.2691 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5513 loss: 1.5513 2022/08/04 01:47:51 - mmengine - INFO - Epoch(train) [73][500/1879] lr: 1.0000e-02 eta: 1 day, 17:23:39 time: 0.4252 data_time: 0.0136 memory: 17087 grad_norm: 5.0649 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5001 loss: 1.5001 2022/08/04 01:47:59 - mmengine - INFO - Epoch(train) [73][520/1879] lr: 1.0000e-02 eta: 1 day, 17:23:30 time: 0.4246 data_time: 0.0150 memory: 17087 grad_norm: 4.9860 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3787 loss: 1.3787 2022/08/04 01:48:08 - mmengine - INFO - Epoch(train) [73][540/1879] lr: 1.0000e-02 eta: 1 day, 17:23:22 time: 0.4445 data_time: 0.0160 memory: 17087 grad_norm: 5.1849 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5658 loss: 1.5658 2022/08/04 01:48:16 - mmengine - INFO - Epoch(train) [73][560/1879] lr: 1.0000e-02 eta: 1 day, 17:23:14 time: 0.4278 data_time: 0.0161 memory: 17087 grad_norm: 5.2620 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.8529 loss: 1.8529 2022/08/04 01:48:25 - mmengine - INFO - Epoch(train) [73][580/1879] lr: 1.0000e-02 eta: 1 day, 17:23:05 time: 0.4372 data_time: 0.0137 memory: 17087 grad_norm: 5.0905 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6200 loss: 1.6200 2022/08/04 01:48:34 - mmengine - INFO - Epoch(train) [73][600/1879] lr: 1.0000e-02 eta: 1 day, 17:22:56 time: 0.4272 data_time: 0.0164 memory: 17087 grad_norm: 5.1524 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6493 loss: 1.6493 2022/08/04 01:48:43 - mmengine - INFO - Epoch(train) [73][620/1879] lr: 1.0000e-02 eta: 1 day, 17:22:48 time: 0.4371 data_time: 0.0140 memory: 17087 grad_norm: 5.2000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4647 loss: 1.4647 2022/08/04 01:48:51 - mmengine - INFO - Epoch(train) [73][640/1879] lr: 1.0000e-02 eta: 1 day, 17:22:39 time: 0.4277 data_time: 0.0183 memory: 17087 grad_norm: 5.2120 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5663 loss: 1.5663 2022/08/04 01:49:00 - mmengine - INFO - Epoch(train) [73][660/1879] lr: 1.0000e-02 eta: 1 day, 17:22:32 time: 0.4615 data_time: 0.0162 memory: 17087 grad_norm: 5.2012 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6384 loss: 1.6384 2022/08/04 01:49:09 - mmengine - INFO - Epoch(train) [73][680/1879] lr: 1.0000e-02 eta: 1 day, 17:22:23 time: 0.4243 data_time: 0.0162 memory: 17087 grad_norm: 5.2387 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5834 loss: 1.5834 2022/08/04 01:49:17 - mmengine - INFO - Epoch(train) [73][700/1879] lr: 1.0000e-02 eta: 1 day, 17:22:14 time: 0.4246 data_time: 0.0133 memory: 17087 grad_norm: 5.0648 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6001 loss: 1.6001 2022/08/04 01:49:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 01:49:27 - mmengine - INFO - Epoch(train) [73][720/1879] lr: 1.0000e-02 eta: 1 day, 17:22:07 time: 0.4654 data_time: 0.0205 memory: 17087 grad_norm: 5.2469 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.7373 loss: 1.7373 2022/08/04 01:49:35 - mmengine - INFO - Epoch(train) [73][740/1879] lr: 1.0000e-02 eta: 1 day, 17:21:58 time: 0.4289 data_time: 0.0151 memory: 17087 grad_norm: 5.0884 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5468 loss: 1.5468 2022/08/04 01:49:44 - mmengine - INFO - Epoch(train) [73][760/1879] lr: 1.0000e-02 eta: 1 day, 17:21:50 time: 0.4346 data_time: 0.0166 memory: 17087 grad_norm: 5.1308 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2681 loss: 1.2681 2022/08/04 01:49:52 - mmengine - INFO - Epoch(train) [73][780/1879] lr: 1.0000e-02 eta: 1 day, 17:21:41 time: 0.4245 data_time: 0.0137 memory: 17087 grad_norm: 5.2624 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3473 loss: 1.3473 2022/08/04 01:50:02 - mmengine - INFO - Epoch(train) [73][800/1879] lr: 1.0000e-02 eta: 1 day, 17:21:34 time: 0.4651 data_time: 0.0169 memory: 17087 grad_norm: 5.1178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3921 loss: 1.3921 2022/08/04 01:50:10 - mmengine - INFO - Epoch(train) [73][820/1879] lr: 1.0000e-02 eta: 1 day, 17:21:25 time: 0.4255 data_time: 0.0149 memory: 17087 grad_norm: 5.1740 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5677 loss: 1.5677 2022/08/04 01:50:19 - mmengine - INFO - Epoch(train) [73][840/1879] lr: 1.0000e-02 eta: 1 day, 17:21:16 time: 0.4260 data_time: 0.0161 memory: 17087 grad_norm: 5.0984 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5465 loss: 1.5465 2022/08/04 01:50:27 - mmengine - INFO - Epoch(train) [73][860/1879] lr: 1.0000e-02 eta: 1 day, 17:21:07 time: 0.4314 data_time: 0.0181 memory: 17087 grad_norm: 5.1524 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6399 loss: 1.6399 2022/08/04 01:50:36 - mmengine - INFO - Epoch(train) [73][880/1879] lr: 1.0000e-02 eta: 1 day, 17:20:59 time: 0.4347 data_time: 0.0163 memory: 17087 grad_norm: 5.3167 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5524 loss: 1.5524 2022/08/04 01:50:45 - mmengine - INFO - Epoch(train) [73][900/1879] lr: 1.0000e-02 eta: 1 day, 17:20:51 time: 0.4485 data_time: 0.0156 memory: 17087 grad_norm: 5.3016 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3884 loss: 1.3884 2022/08/04 01:50:54 - mmengine - INFO - Epoch(train) [73][920/1879] lr: 1.0000e-02 eta: 1 day, 17:20:43 time: 0.4447 data_time: 0.0173 memory: 17087 grad_norm: 5.0849 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3943 loss: 1.3943 2022/08/04 01:51:03 - mmengine - INFO - Epoch(train) [73][940/1879] lr: 1.0000e-02 eta: 1 day, 17:20:36 time: 0.4603 data_time: 0.0176 memory: 17087 grad_norm: 5.1856 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6120 loss: 1.6120 2022/08/04 01:51:12 - mmengine - INFO - Epoch(train) [73][960/1879] lr: 1.0000e-02 eta: 1 day, 17:20:27 time: 0.4261 data_time: 0.0152 memory: 17087 grad_norm: 5.1680 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4940 loss: 1.4940 2022/08/04 01:51:20 - mmengine - INFO - Epoch(train) [73][980/1879] lr: 1.0000e-02 eta: 1 day, 17:20:19 time: 0.4327 data_time: 0.0153 memory: 17087 grad_norm: 5.1900 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5856 loss: 1.5856 2022/08/04 01:51:29 - mmengine - INFO - Epoch(train) [73][1000/1879] lr: 1.0000e-02 eta: 1 day, 17:20:10 time: 0.4278 data_time: 0.0156 memory: 17087 grad_norm: 5.0371 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3819 loss: 1.3819 2022/08/04 01:51:38 - mmengine - INFO - Epoch(train) [73][1020/1879] lr: 1.0000e-02 eta: 1 day, 17:20:02 time: 0.4519 data_time: 0.0165 memory: 17087 grad_norm: 5.1608 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4366 loss: 1.4366 2022/08/04 01:51:47 - mmengine - INFO - Epoch(train) [73][1040/1879] lr: 1.0000e-02 eta: 1 day, 17:19:53 time: 0.4282 data_time: 0.0156 memory: 17087 grad_norm: 5.2849 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5981 loss: 1.5981 2022/08/04 01:51:56 - mmengine - INFO - Epoch(train) [73][1060/1879] lr: 1.0000e-02 eta: 1 day, 17:19:46 time: 0.4565 data_time: 0.0208 memory: 17087 grad_norm: 5.1509 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4210 loss: 1.4210 2022/08/04 01:52:05 - mmengine - INFO - Epoch(train) [73][1080/1879] lr: 1.0000e-02 eta: 1 day, 17:19:38 time: 0.4364 data_time: 0.0192 memory: 17087 grad_norm: 5.1290 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3609 loss: 1.3609 2022/08/04 01:52:13 - mmengine - INFO - Epoch(train) [73][1100/1879] lr: 1.0000e-02 eta: 1 day, 17:19:29 time: 0.4264 data_time: 0.0140 memory: 17087 grad_norm: 5.2559 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4880 loss: 1.4880 2022/08/04 01:52:22 - mmengine - INFO - Epoch(train) [73][1120/1879] lr: 1.0000e-02 eta: 1 day, 17:19:21 time: 0.4558 data_time: 0.0172 memory: 17087 grad_norm: 5.0148 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5123 loss: 1.5123 2022/08/04 01:52:31 - mmengine - INFO - Epoch(train) [73][1140/1879] lr: 1.0000e-02 eta: 1 day, 17:19:12 time: 0.4285 data_time: 0.0186 memory: 17087 grad_norm: 5.0258 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6279 loss: 1.6279 2022/08/04 01:52:39 - mmengine - INFO - Epoch(train) [73][1160/1879] lr: 1.0000e-02 eta: 1 day, 17:19:04 time: 0.4270 data_time: 0.0156 memory: 17087 grad_norm: 5.1187 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3421 loss: 1.3421 2022/08/04 01:52:48 - mmengine - INFO - Epoch(train) [73][1180/1879] lr: 1.0000e-02 eta: 1 day, 17:18:55 time: 0.4368 data_time: 0.0164 memory: 17087 grad_norm: 5.0902 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6521 loss: 1.6521 2022/08/04 01:52:57 - mmengine - INFO - Epoch(train) [73][1200/1879] lr: 1.0000e-02 eta: 1 day, 17:18:46 time: 0.4289 data_time: 0.0166 memory: 17087 grad_norm: 5.0868 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.6839 loss: 1.6839 2022/08/04 01:53:05 - mmengine - INFO - Epoch(train) [73][1220/1879] lr: 1.0000e-02 eta: 1 day, 17:18:38 time: 0.4296 data_time: 0.0164 memory: 17087 grad_norm: 5.0866 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4766 loss: 1.4766 2022/08/04 01:53:14 - mmengine - INFO - Epoch(train) [73][1240/1879] lr: 1.0000e-02 eta: 1 day, 17:18:29 time: 0.4263 data_time: 0.0155 memory: 17087 grad_norm: 5.2977 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7252 loss: 1.7252 2022/08/04 01:53:22 - mmengine - INFO - Epoch(train) [73][1260/1879] lr: 1.0000e-02 eta: 1 day, 17:18:20 time: 0.4284 data_time: 0.0147 memory: 17087 grad_norm: 5.2518 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6535 loss: 1.6535 2022/08/04 01:53:31 - mmengine - INFO - Epoch(train) [73][1280/1879] lr: 1.0000e-02 eta: 1 day, 17:18:11 time: 0.4267 data_time: 0.0163 memory: 17087 grad_norm: 5.2430 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5718 loss: 1.5718 2022/08/04 01:53:39 - mmengine - INFO - Epoch(train) [73][1300/1879] lr: 1.0000e-02 eta: 1 day, 17:18:02 time: 0.4272 data_time: 0.0148 memory: 17087 grad_norm: 5.2242 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4199 loss: 1.4199 2022/08/04 01:53:48 - mmengine - INFO - Epoch(train) [73][1320/1879] lr: 1.0000e-02 eta: 1 day, 17:17:54 time: 0.4489 data_time: 0.0166 memory: 17087 grad_norm: 5.1740 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5891 loss: 1.5891 2022/08/04 01:53:57 - mmengine - INFO - Epoch(train) [73][1340/1879] lr: 1.0000e-02 eta: 1 day, 17:17:46 time: 0.4299 data_time: 0.0182 memory: 17087 grad_norm: 5.2210 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6269 loss: 1.6269 2022/08/04 01:54:06 - mmengine - INFO - Epoch(train) [73][1360/1879] lr: 1.0000e-02 eta: 1 day, 17:17:38 time: 0.4574 data_time: 0.0181 memory: 17087 grad_norm: 5.1313 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4246 loss: 1.4246 2022/08/04 01:54:15 - mmengine - INFO - Epoch(train) [73][1380/1879] lr: 1.0000e-02 eta: 1 day, 17:17:30 time: 0.4303 data_time: 0.0152 memory: 17087 grad_norm: 5.2707 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4424 loss: 1.4424 2022/08/04 01:54:24 - mmengine - INFO - Epoch(train) [73][1400/1879] lr: 1.0000e-02 eta: 1 day, 17:17:22 time: 0.4549 data_time: 0.0171 memory: 17087 grad_norm: 5.1799 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5709 loss: 1.5709 2022/08/04 01:54:33 - mmengine - INFO - Epoch(train) [73][1420/1879] lr: 1.0000e-02 eta: 1 day, 17:17:14 time: 0.4329 data_time: 0.0201 memory: 17087 grad_norm: 5.2033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4096 loss: 1.4096 2022/08/04 01:54:41 - mmengine - INFO - Epoch(train) [73][1440/1879] lr: 1.0000e-02 eta: 1 day, 17:17:05 time: 0.4272 data_time: 0.0151 memory: 17087 grad_norm: 5.0960 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5530 loss: 1.5530 2022/08/04 01:54:50 - mmengine - INFO - Epoch(train) [73][1460/1879] lr: 1.0000e-02 eta: 1 day, 17:16:56 time: 0.4248 data_time: 0.0149 memory: 17087 grad_norm: 5.2100 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3814 loss: 1.3814 2022/08/04 01:54:58 - mmengine - INFO - Epoch(train) [73][1480/1879] lr: 1.0000e-02 eta: 1 day, 17:16:48 time: 0.4385 data_time: 0.0194 memory: 17087 grad_norm: 5.1379 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6098 loss: 1.6098 2022/08/04 01:55:07 - mmengine - INFO - Epoch(train) [73][1500/1879] lr: 1.0000e-02 eta: 1 day, 17:16:39 time: 0.4266 data_time: 0.0164 memory: 17087 grad_norm: 5.2320 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5675 loss: 1.5675 2022/08/04 01:55:16 - mmengine - INFO - Epoch(train) [73][1520/1879] lr: 1.0000e-02 eta: 1 day, 17:16:31 time: 0.4585 data_time: 0.0177 memory: 17087 grad_norm: 5.1909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5295 loss: 1.5295 2022/08/04 01:55:25 - mmengine - INFO - Epoch(train) [73][1540/1879] lr: 1.0000e-02 eta: 1 day, 17:16:23 time: 0.4290 data_time: 0.0178 memory: 17087 grad_norm: 5.1331 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6105 loss: 1.6105 2022/08/04 01:55:34 - mmengine - INFO - Epoch(train) [73][1560/1879] lr: 1.0000e-02 eta: 1 day, 17:16:14 time: 0.4384 data_time: 0.0192 memory: 17087 grad_norm: 5.2585 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6359 loss: 1.6359 2022/08/04 01:55:42 - mmengine - INFO - Epoch(train) [73][1580/1879] lr: 1.0000e-02 eta: 1 day, 17:16:05 time: 0.4266 data_time: 0.0150 memory: 17087 grad_norm: 5.0467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4354 loss: 1.4354 2022/08/04 01:55:51 - mmengine - INFO - Epoch(train) [73][1600/1879] lr: 1.0000e-02 eta: 1 day, 17:15:58 time: 0.4489 data_time: 0.0177 memory: 17087 grad_norm: 5.2387 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5959 loss: 1.5959 2022/08/04 01:56:00 - mmengine - INFO - Epoch(train) [73][1620/1879] lr: 1.0000e-02 eta: 1 day, 17:15:49 time: 0.4244 data_time: 0.0141 memory: 17087 grad_norm: 5.3256 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4901 loss: 1.4901 2022/08/04 01:56:08 - mmengine - INFO - Epoch(train) [73][1640/1879] lr: 1.0000e-02 eta: 1 day, 17:15:40 time: 0.4268 data_time: 0.0154 memory: 17087 grad_norm: 5.2170 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5079 loss: 1.5079 2022/08/04 01:56:17 - mmengine - INFO - Epoch(train) [73][1660/1879] lr: 1.0000e-02 eta: 1 day, 17:15:31 time: 0.4329 data_time: 0.0146 memory: 17087 grad_norm: 5.1312 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4687 loss: 1.4687 2022/08/04 01:56:25 - mmengine - INFO - Epoch(train) [73][1680/1879] lr: 1.0000e-02 eta: 1 day, 17:15:22 time: 0.4287 data_time: 0.0168 memory: 17087 grad_norm: 5.1059 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4865 loss: 1.4865 2022/08/04 01:56:34 - mmengine - INFO - Epoch(train) [73][1700/1879] lr: 1.0000e-02 eta: 1 day, 17:15:14 time: 0.4342 data_time: 0.0145 memory: 17087 grad_norm: 5.1038 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5604 loss: 1.5604 2022/08/04 01:56:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 01:56:43 - mmengine - INFO - Epoch(train) [73][1720/1879] lr: 1.0000e-02 eta: 1 day, 17:15:05 time: 0.4278 data_time: 0.0181 memory: 17087 grad_norm: 5.0785 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4936 loss: 1.4936 2022/08/04 01:56:51 - mmengine - INFO - Epoch(train) [73][1740/1879] lr: 1.0000e-02 eta: 1 day, 17:14:56 time: 0.4261 data_time: 0.0154 memory: 17087 grad_norm: 5.1507 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4697 loss: 1.4697 2022/08/04 01:57:00 - mmengine - INFO - Epoch(train) [73][1760/1879] lr: 1.0000e-02 eta: 1 day, 17:14:47 time: 0.4249 data_time: 0.0160 memory: 17087 grad_norm: 5.1287 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5123 loss: 1.5123 2022/08/04 01:57:08 - mmengine - INFO - Epoch(train) [73][1780/1879] lr: 1.0000e-02 eta: 1 day, 17:14:38 time: 0.4266 data_time: 0.0147 memory: 17087 grad_norm: 5.1853 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4110 loss: 1.4110 2022/08/04 01:57:17 - mmengine - INFO - Epoch(train) [73][1800/1879] lr: 1.0000e-02 eta: 1 day, 17:14:30 time: 0.4343 data_time: 0.0163 memory: 17087 grad_norm: 5.2144 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3667 loss: 1.3667 2022/08/04 01:57:25 - mmengine - INFO - Epoch(train) [73][1820/1879] lr: 1.0000e-02 eta: 1 day, 17:14:21 time: 0.4289 data_time: 0.0176 memory: 17087 grad_norm: 5.0905 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5316 loss: 1.5316 2022/08/04 01:57:34 - mmengine - INFO - Epoch(train) [73][1840/1879] lr: 1.0000e-02 eta: 1 day, 17:14:12 time: 0.4291 data_time: 0.0162 memory: 17087 grad_norm: 5.1765 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5091 loss: 1.5091 2022/08/04 01:57:43 - mmengine - INFO - Epoch(train) [73][1860/1879] lr: 1.0000e-02 eta: 1 day, 17:14:04 time: 0.4320 data_time: 0.0170 memory: 17087 grad_norm: 5.2168 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7524 loss: 1.7524 2022/08/04 01:57:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 01:57:50 - mmengine - INFO - Epoch(train) [73][1879/1879] lr: 1.0000e-02 eta: 1 day, 17:14:04 time: 0.4098 data_time: 0.0131 memory: 17087 grad_norm: 5.2693 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.6485 loss: 1.6485 2022/08/04 01:58:02 - mmengine - INFO - Epoch(train) [74][20/1879] lr: 1.0000e-02 eta: 1 day, 17:13:33 time: 0.5672 data_time: 0.1234 memory: 17087 grad_norm: 5.0442 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5854 loss: 1.5854 2022/08/04 01:58:11 - mmengine - INFO - Epoch(train) [74][40/1879] lr: 1.0000e-02 eta: 1 day, 17:13:26 time: 0.4609 data_time: 0.0215 memory: 17087 grad_norm: 5.0541 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5342 loss: 1.5342 2022/08/04 01:58:20 - mmengine - INFO - Epoch(train) [74][60/1879] lr: 1.0000e-02 eta: 1 day, 17:13:17 time: 0.4243 data_time: 0.0136 memory: 17087 grad_norm: 5.0008 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3800 loss: 1.3800 2022/08/04 01:58:28 - mmengine - INFO - Epoch(train) [74][80/1879] lr: 1.0000e-02 eta: 1 day, 17:13:08 time: 0.4246 data_time: 0.0155 memory: 17087 grad_norm: 5.2688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6523 loss: 1.6523 2022/08/04 01:58:37 - mmengine - INFO - Epoch(train) [74][100/1879] lr: 1.0000e-02 eta: 1 day, 17:12:59 time: 0.4277 data_time: 0.0146 memory: 17087 grad_norm: 5.0741 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3034 loss: 1.3034 2022/08/04 01:58:45 - mmengine - INFO - Epoch(train) [74][120/1879] lr: 1.0000e-02 eta: 1 day, 17:12:50 time: 0.4309 data_time: 0.0173 memory: 17087 grad_norm: 5.0670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5157 loss: 1.5157 2022/08/04 01:58:54 - mmengine - INFO - Epoch(train) [74][140/1879] lr: 1.0000e-02 eta: 1 day, 17:12:41 time: 0.4247 data_time: 0.0134 memory: 17087 grad_norm: 5.1738 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5166 loss: 1.5166 2022/08/04 01:59:03 - mmengine - INFO - Epoch(train) [74][160/1879] lr: 1.0000e-02 eta: 1 day, 17:12:33 time: 0.4373 data_time: 0.0201 memory: 17087 grad_norm: 5.1357 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5523 loss: 1.5523 2022/08/04 01:59:12 - mmengine - INFO - Epoch(train) [74][180/1879] lr: 1.0000e-02 eta: 1 day, 17:12:25 time: 0.4457 data_time: 0.0161 memory: 17087 grad_norm: 5.1723 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4903 loss: 1.4903 2022/08/04 01:59:20 - mmengine - INFO - Epoch(train) [74][200/1879] lr: 1.0000e-02 eta: 1 day, 17:12:16 time: 0.4259 data_time: 0.0151 memory: 17087 grad_norm: 4.9792 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3689 loss: 1.3689 2022/08/04 01:59:29 - mmengine - INFO - Epoch(train) [74][220/1879] lr: 1.0000e-02 eta: 1 day, 17:12:07 time: 0.4295 data_time: 0.0133 memory: 17087 grad_norm: 5.1285 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.5807 loss: 1.5807 2022/08/04 01:59:38 - mmengine - INFO - Epoch(train) [74][240/1879] lr: 1.0000e-02 eta: 1 day, 17:12:00 time: 0.4509 data_time: 0.0221 memory: 17087 grad_norm: 5.2102 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5353 loss: 1.5353 2022/08/04 01:59:46 - mmengine - INFO - Epoch(train) [74][260/1879] lr: 1.0000e-02 eta: 1 day, 17:11:51 time: 0.4330 data_time: 0.0177 memory: 17087 grad_norm: 5.0128 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5238 loss: 1.5238 2022/08/04 01:59:55 - mmengine - INFO - Epoch(train) [74][280/1879] lr: 1.0000e-02 eta: 1 day, 17:11:42 time: 0.4286 data_time: 0.0169 memory: 17087 grad_norm: 5.1555 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5770 loss: 1.5770 2022/08/04 02:00:04 - mmengine - INFO - Epoch(train) [74][300/1879] lr: 1.0000e-02 eta: 1 day, 17:11:36 time: 0.4714 data_time: 0.0142 memory: 17087 grad_norm: 5.0516 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4167 loss: 1.4167 2022/08/04 02:00:14 - mmengine - INFO - Epoch(train) [74][320/1879] lr: 1.0000e-02 eta: 1 day, 17:11:29 time: 0.4701 data_time: 0.0165 memory: 17087 grad_norm: 5.1439 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4087 loss: 1.4087 2022/08/04 02:00:23 - mmengine - INFO - Epoch(train) [74][340/1879] lr: 1.0000e-02 eta: 1 day, 17:11:22 time: 0.4541 data_time: 0.0214 memory: 17087 grad_norm: 5.2316 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5195 loss: 1.5195 2022/08/04 02:00:31 - mmengine - INFO - Epoch(train) [74][360/1879] lr: 1.0000e-02 eta: 1 day, 17:11:13 time: 0.4302 data_time: 0.0153 memory: 17087 grad_norm: 5.2997 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4336 loss: 1.4336 2022/08/04 02:00:40 - mmengine - INFO - Epoch(train) [74][380/1879] lr: 1.0000e-02 eta: 1 day, 17:11:04 time: 0.4275 data_time: 0.0144 memory: 17087 grad_norm: 5.4462 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5194 loss: 1.5194 2022/08/04 02:00:49 - mmengine - INFO - Epoch(train) [74][400/1879] lr: 1.0000e-02 eta: 1 day, 17:10:56 time: 0.4354 data_time: 0.0171 memory: 17087 grad_norm: 5.2040 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2751 loss: 1.2751 2022/08/04 02:00:57 - mmengine - INFO - Epoch(train) [74][420/1879] lr: 1.0000e-02 eta: 1 day, 17:10:47 time: 0.4289 data_time: 0.0161 memory: 17087 grad_norm: 5.0529 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3833 loss: 1.3833 2022/08/04 02:01:06 - mmengine - INFO - Epoch(train) [74][440/1879] lr: 1.0000e-02 eta: 1 day, 17:10:39 time: 0.4442 data_time: 0.0145 memory: 17087 grad_norm: 5.2447 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6192 loss: 1.6192 2022/08/04 02:01:15 - mmengine - INFO - Epoch(train) [74][460/1879] lr: 1.0000e-02 eta: 1 day, 17:10:30 time: 0.4282 data_time: 0.0155 memory: 17087 grad_norm: 5.2205 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4754 loss: 1.4754 2022/08/04 02:01:23 - mmengine - INFO - Epoch(train) [74][480/1879] lr: 1.0000e-02 eta: 1 day, 17:10:21 time: 0.4267 data_time: 0.0164 memory: 17087 grad_norm: 5.0880 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6225 loss: 1.6225 2022/08/04 02:01:33 - mmengine - INFO - Epoch(train) [74][500/1879] lr: 1.0000e-02 eta: 1 day, 17:10:15 time: 0.4737 data_time: 0.0176 memory: 17087 grad_norm: 5.2191 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5737 loss: 1.5737 2022/08/04 02:01:41 - mmengine - INFO - Epoch(train) [74][520/1879] lr: 1.0000e-02 eta: 1 day, 17:10:06 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 5.2405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4189 loss: 1.4189 2022/08/04 02:01:50 - mmengine - INFO - Epoch(train) [74][540/1879] lr: 1.0000e-02 eta: 1 day, 17:09:57 time: 0.4290 data_time: 0.0190 memory: 17087 grad_norm: 5.1238 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4351 loss: 1.4351 2022/08/04 02:01:59 - mmengine - INFO - Epoch(train) [74][560/1879] lr: 1.0000e-02 eta: 1 day, 17:09:49 time: 0.4498 data_time: 0.0169 memory: 17087 grad_norm: 5.2958 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6037 loss: 1.6037 2022/08/04 02:02:08 - mmengine - INFO - Epoch(train) [74][580/1879] lr: 1.0000e-02 eta: 1 day, 17:09:41 time: 0.4329 data_time: 0.0147 memory: 17087 grad_norm: 5.1273 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5483 loss: 1.5483 2022/08/04 02:02:16 - mmengine - INFO - Epoch(train) [74][600/1879] lr: 1.0000e-02 eta: 1 day, 17:09:32 time: 0.4330 data_time: 0.0175 memory: 17087 grad_norm: 5.1340 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4229 loss: 1.4229 2022/08/04 02:02:25 - mmengine - INFO - Epoch(train) [74][620/1879] lr: 1.0000e-02 eta: 1 day, 17:09:23 time: 0.4273 data_time: 0.0147 memory: 17087 grad_norm: 5.2634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5477 loss: 1.5477 2022/08/04 02:02:34 - mmengine - INFO - Epoch(train) [74][640/1879] lr: 1.0000e-02 eta: 1 day, 17:09:15 time: 0.4386 data_time: 0.0178 memory: 17087 grad_norm: 5.3740 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7858 loss: 1.7858 2022/08/04 02:02:42 - mmengine - INFO - Epoch(train) [74][660/1879] lr: 1.0000e-02 eta: 1 day, 17:09:06 time: 0.4255 data_time: 0.0145 memory: 17087 grad_norm: 5.1973 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6078 loss: 1.6078 2022/08/04 02:02:51 - mmengine - INFO - Epoch(train) [74][680/1879] lr: 1.0000e-02 eta: 1 day, 17:08:59 time: 0.4641 data_time: 0.0218 memory: 17087 grad_norm: 5.1549 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.3415 loss: 1.3415 2022/08/04 02:03:00 - mmengine - INFO - Epoch(train) [74][700/1879] lr: 1.0000e-02 eta: 1 day, 17:08:50 time: 0.4284 data_time: 0.0131 memory: 17087 grad_norm: 5.1437 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4861 loss: 1.4861 2022/08/04 02:03:09 - mmengine - INFO - Epoch(train) [74][720/1879] lr: 1.0000e-02 eta: 1 day, 17:08:41 time: 0.4288 data_time: 0.0172 memory: 17087 grad_norm: 5.3303 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4026 loss: 1.4026 2022/08/04 02:03:18 - mmengine - INFO - Epoch(train) [74][740/1879] lr: 1.0000e-02 eta: 1 day, 17:08:35 time: 0.4692 data_time: 0.0214 memory: 17087 grad_norm: 5.2189 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6839 loss: 1.6839 2022/08/04 02:03:27 - mmengine - INFO - Epoch(train) [74][760/1879] lr: 1.0000e-02 eta: 1 day, 17:08:26 time: 0.4262 data_time: 0.0156 memory: 17087 grad_norm: 5.1210 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5850 loss: 1.5850 2022/08/04 02:03:36 - mmengine - INFO - Epoch(train) [74][780/1879] lr: 1.0000e-02 eta: 1 day, 17:08:19 time: 0.4630 data_time: 0.0200 memory: 17087 grad_norm: 5.1415 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5371 loss: 1.5371 2022/08/04 02:03:44 - mmengine - INFO - Epoch(train) [74][800/1879] lr: 1.0000e-02 eta: 1 day, 17:08:10 time: 0.4275 data_time: 0.0154 memory: 17087 grad_norm: 5.3680 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7759 loss: 1.7759 2022/08/04 02:03:53 - mmengine - INFO - Epoch(train) [74][820/1879] lr: 1.0000e-02 eta: 1 day, 17:08:01 time: 0.4369 data_time: 0.0206 memory: 17087 grad_norm: 5.1498 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.7029 loss: 1.7029 2022/08/04 02:03:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 02:04:02 - mmengine - INFO - Epoch(train) [74][840/1879] lr: 1.0000e-02 eta: 1 day, 17:07:53 time: 0.4269 data_time: 0.0151 memory: 17087 grad_norm: 5.1026 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5763 loss: 1.5763 2022/08/04 02:04:10 - mmengine - INFO - Epoch(train) [74][860/1879] lr: 1.0000e-02 eta: 1 day, 17:07:44 time: 0.4271 data_time: 0.0157 memory: 17087 grad_norm: 5.3066 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5373 loss: 1.5373 2022/08/04 02:04:19 - mmengine - INFO - Epoch(train) [74][880/1879] lr: 1.0000e-02 eta: 1 day, 17:07:36 time: 0.4471 data_time: 0.0162 memory: 17087 grad_norm: 5.3191 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7580 loss: 1.7580 2022/08/04 02:04:28 - mmengine - INFO - Epoch(train) [74][900/1879] lr: 1.0000e-02 eta: 1 day, 17:07:27 time: 0.4248 data_time: 0.0162 memory: 17087 grad_norm: 5.1076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4504 loss: 1.4504 2022/08/04 02:04:37 - mmengine - INFO - Epoch(train) [74][920/1879] lr: 1.0000e-02 eta: 1 day, 17:07:20 time: 0.4676 data_time: 0.0223 memory: 17087 grad_norm: 5.2016 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3447 loss: 1.3447 2022/08/04 02:04:46 - mmengine - INFO - Epoch(train) [74][940/1879] lr: 1.0000e-02 eta: 1 day, 17:07:11 time: 0.4251 data_time: 0.0145 memory: 17087 grad_norm: 5.2511 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.6613 loss: 1.6613 2022/08/04 02:04:55 - mmengine - INFO - Epoch(train) [74][960/1879] lr: 1.0000e-02 eta: 1 day, 17:07:04 time: 0.4688 data_time: 0.0222 memory: 17087 grad_norm: 5.1011 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6595 loss: 1.6595 2022/08/04 02:05:04 - mmengine - INFO - Epoch(train) [74][980/1879] lr: 1.0000e-02 eta: 1 day, 17:06:56 time: 0.4296 data_time: 0.0150 memory: 17087 grad_norm: 5.1414 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4345 loss: 1.4345 2022/08/04 02:05:13 - mmengine - INFO - Epoch(train) [74][1000/1879] lr: 1.0000e-02 eta: 1 day, 17:06:48 time: 0.4581 data_time: 0.0192 memory: 17087 grad_norm: 5.1579 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6103 loss: 1.6103 2022/08/04 02:05:21 - mmengine - INFO - Epoch(train) [74][1020/1879] lr: 1.0000e-02 eta: 1 day, 17:06:39 time: 0.4269 data_time: 0.0150 memory: 17087 grad_norm: 5.2529 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6358 loss: 1.6358 2022/08/04 02:05:30 - mmengine - INFO - Epoch(train) [74][1040/1879] lr: 1.0000e-02 eta: 1 day, 17:06:31 time: 0.4312 data_time: 0.0204 memory: 17087 grad_norm: 5.1802 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4867 loss: 1.4867 2022/08/04 02:05:39 - mmengine - INFO - Epoch(train) [74][1060/1879] lr: 1.0000e-02 eta: 1 day, 17:06:23 time: 0.4604 data_time: 0.0151 memory: 17087 grad_norm: 5.0226 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5954 loss: 1.5954 2022/08/04 02:05:48 - mmengine - INFO - Epoch(train) [74][1080/1879] lr: 1.0000e-02 eta: 1 day, 17:06:15 time: 0.4262 data_time: 0.0152 memory: 17087 grad_norm: 5.2936 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4828 loss: 1.4828 2022/08/04 02:05:56 - mmengine - INFO - Epoch(train) [74][1100/1879] lr: 1.0000e-02 eta: 1 day, 17:06:06 time: 0.4400 data_time: 0.0212 memory: 17087 grad_norm: 5.2694 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7002 loss: 1.7002 2022/08/04 02:06:05 - mmengine - INFO - Epoch(train) [74][1120/1879] lr: 1.0000e-02 eta: 1 day, 17:05:58 time: 0.4280 data_time: 0.0164 memory: 17087 grad_norm: 5.1113 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5184 loss: 1.5184 2022/08/04 02:06:14 - mmengine - INFO - Epoch(train) [74][1140/1879] lr: 1.0000e-02 eta: 1 day, 17:05:49 time: 0.4444 data_time: 0.0208 memory: 17087 grad_norm: 5.2396 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5772 loss: 1.5772 2022/08/04 02:06:23 - mmengine - INFO - Epoch(train) [74][1160/1879] lr: 1.0000e-02 eta: 1 day, 17:05:41 time: 0.4279 data_time: 0.0168 memory: 17087 grad_norm: 5.1610 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5360 loss: 1.5360 2022/08/04 02:06:31 - mmengine - INFO - Epoch(train) [74][1180/1879] lr: 1.0000e-02 eta: 1 day, 17:05:32 time: 0.4344 data_time: 0.0205 memory: 17087 grad_norm: 5.1158 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4267 loss: 1.4267 2022/08/04 02:06:40 - mmengine - INFO - Epoch(train) [74][1200/1879] lr: 1.0000e-02 eta: 1 day, 17:05:23 time: 0.4270 data_time: 0.0163 memory: 17087 grad_norm: 5.2969 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5718 loss: 1.5718 2022/08/04 02:06:48 - mmengine - INFO - Epoch(train) [74][1220/1879] lr: 1.0000e-02 eta: 1 day, 17:05:14 time: 0.4247 data_time: 0.0149 memory: 17087 grad_norm: 5.3599 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6649 loss: 1.6649 2022/08/04 02:06:57 - mmengine - INFO - Epoch(train) [74][1240/1879] lr: 1.0000e-02 eta: 1 day, 17:05:06 time: 0.4338 data_time: 0.0201 memory: 17087 grad_norm: 5.3224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4581 loss: 1.4581 2022/08/04 02:07:05 - mmengine - INFO - Epoch(train) [74][1260/1879] lr: 1.0000e-02 eta: 1 day, 17:04:57 time: 0.4248 data_time: 0.0124 memory: 17087 grad_norm: 5.0898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4140 loss: 1.4140 2022/08/04 02:07:15 - mmengine - INFO - Epoch(train) [74][1280/1879] lr: 1.0000e-02 eta: 1 day, 17:04:50 time: 0.4704 data_time: 0.0191 memory: 17087 grad_norm: 5.3091 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5514 loss: 1.5514 2022/08/04 02:07:23 - mmengine - INFO - Epoch(train) [74][1300/1879] lr: 1.0000e-02 eta: 1 day, 17:04:41 time: 0.4269 data_time: 0.0155 memory: 17087 grad_norm: 5.2230 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7877 loss: 1.7877 2022/08/04 02:07:32 - mmengine - INFO - Epoch(train) [74][1320/1879] lr: 1.0000e-02 eta: 1 day, 17:04:33 time: 0.4378 data_time: 0.0213 memory: 17087 grad_norm: 5.2250 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4796 loss: 1.4796 2022/08/04 02:07:41 - mmengine - INFO - Epoch(train) [74][1340/1879] lr: 1.0000e-02 eta: 1 day, 17:04:24 time: 0.4274 data_time: 0.0164 memory: 17087 grad_norm: 4.9874 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.4793 loss: 1.4793 2022/08/04 02:07:49 - mmengine - INFO - Epoch(train) [74][1360/1879] lr: 1.0000e-02 eta: 1 day, 17:04:15 time: 0.4256 data_time: 0.0151 memory: 17087 grad_norm: 5.1436 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3741 loss: 1.3741 2022/08/04 02:07:58 - mmengine - INFO - Epoch(train) [74][1380/1879] lr: 1.0000e-02 eta: 1 day, 17:04:07 time: 0.4377 data_time: 0.0144 memory: 17087 grad_norm: 5.0909 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5430 loss: 1.5430 2022/08/04 02:08:07 - mmengine - INFO - Epoch(train) [74][1400/1879] lr: 1.0000e-02 eta: 1 day, 17:03:58 time: 0.4244 data_time: 0.0151 memory: 17087 grad_norm: 5.2519 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4994 loss: 1.4994 2022/08/04 02:08:15 - mmengine - INFO - Epoch(train) [74][1420/1879] lr: 1.0000e-02 eta: 1 day, 17:03:50 time: 0.4506 data_time: 0.0206 memory: 17087 grad_norm: 5.0901 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3439 loss: 1.3439 2022/08/04 02:08:24 - mmengine - INFO - Epoch(train) [74][1440/1879] lr: 1.0000e-02 eta: 1 day, 17:03:41 time: 0.4267 data_time: 0.0152 memory: 17087 grad_norm: 5.1737 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5839 loss: 1.5839 2022/08/04 02:08:33 - mmengine - INFO - Epoch(train) [74][1460/1879] lr: 1.0000e-02 eta: 1 day, 17:03:34 time: 0.4691 data_time: 0.0227 memory: 17087 grad_norm: 5.3927 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5248 loss: 1.5248 2022/08/04 02:08:42 - mmengine - INFO - Epoch(train) [74][1480/1879] lr: 1.0000e-02 eta: 1 day, 17:03:25 time: 0.4248 data_time: 0.0154 memory: 17087 grad_norm: 5.1102 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5565 loss: 1.5565 2022/08/04 02:08:51 - mmengine - INFO - Epoch(train) [74][1500/1879] lr: 1.0000e-02 eta: 1 day, 17:03:17 time: 0.4321 data_time: 0.0203 memory: 17087 grad_norm: 5.0924 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4846 loss: 1.4846 2022/08/04 02:08:59 - mmengine - INFO - Epoch(train) [74][1520/1879] lr: 1.0000e-02 eta: 1 day, 17:03:08 time: 0.4325 data_time: 0.0143 memory: 17087 grad_norm: 5.2682 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6030 loss: 1.6030 2022/08/04 02:09:08 - mmengine - INFO - Epoch(train) [74][1540/1879] lr: 1.0000e-02 eta: 1 day, 17:03:00 time: 0.4330 data_time: 0.0161 memory: 17087 grad_norm: 5.1724 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4527 loss: 1.4527 2022/08/04 02:09:16 - mmengine - INFO - Epoch(train) [74][1560/1879] lr: 1.0000e-02 eta: 1 day, 17:02:51 time: 0.4285 data_time: 0.0151 memory: 17087 grad_norm: 5.1929 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5399 loss: 1.5399 2022/08/04 02:09:25 - mmengine - INFO - Epoch(train) [74][1580/1879] lr: 1.0000e-02 eta: 1 day, 17:02:42 time: 0.4333 data_time: 0.0180 memory: 17087 grad_norm: 5.1363 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6178 loss: 1.6178 2022/08/04 02:09:34 - mmengine - INFO - Epoch(train) [74][1600/1879] lr: 1.0000e-02 eta: 1 day, 17:02:33 time: 0.4277 data_time: 0.0162 memory: 17087 grad_norm: 5.2098 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5914 loss: 1.5914 2022/08/04 02:09:42 - mmengine - INFO - Epoch(train) [74][1620/1879] lr: 1.0000e-02 eta: 1 day, 17:02:25 time: 0.4287 data_time: 0.0178 memory: 17087 grad_norm: 5.1728 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.7507 loss: 1.7507 2022/08/04 02:09:51 - mmengine - INFO - Epoch(train) [74][1640/1879] lr: 1.0000e-02 eta: 1 day, 17:02:16 time: 0.4270 data_time: 0.0165 memory: 17087 grad_norm: 4.9805 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7246 loss: 1.7246 2022/08/04 02:09:59 - mmengine - INFO - Epoch(train) [74][1660/1879] lr: 1.0000e-02 eta: 1 day, 17:02:07 time: 0.4290 data_time: 0.0143 memory: 17087 grad_norm: 5.0763 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4448 loss: 1.4448 2022/08/04 02:10:08 - mmengine - INFO - Epoch(train) [74][1680/1879] lr: 1.0000e-02 eta: 1 day, 17:01:58 time: 0.4286 data_time: 0.0192 memory: 17087 grad_norm: 5.0470 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5348 loss: 1.5348 2022/08/04 02:10:17 - mmengine - INFO - Epoch(train) [74][1700/1879] lr: 1.0000e-02 eta: 1 day, 17:01:49 time: 0.4254 data_time: 0.0153 memory: 17087 grad_norm: 5.2111 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5686 loss: 1.5686 2022/08/04 02:10:25 - mmengine - INFO - Epoch(train) [74][1720/1879] lr: 1.0000e-02 eta: 1 day, 17:01:41 time: 0.4363 data_time: 0.0171 memory: 17087 grad_norm: 5.0491 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6812 loss: 1.6812 2022/08/04 02:10:34 - mmengine - INFO - Epoch(train) [74][1740/1879] lr: 1.0000e-02 eta: 1 day, 17:01:32 time: 0.4259 data_time: 0.0149 memory: 17087 grad_norm: 5.1282 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3942 loss: 1.3942 2022/08/04 02:10:42 - mmengine - INFO - Epoch(train) [74][1760/1879] lr: 1.0000e-02 eta: 1 day, 17:01:23 time: 0.4334 data_time: 0.0172 memory: 17087 grad_norm: 5.2002 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3968 loss: 1.3968 2022/08/04 02:10:51 - mmengine - INFO - Epoch(train) [74][1780/1879] lr: 1.0000e-02 eta: 1 day, 17:01:14 time: 0.4248 data_time: 0.0139 memory: 17087 grad_norm: 5.0756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3276 loss: 1.3276 2022/08/04 02:11:00 - mmengine - INFO - Epoch(train) [74][1800/1879] lr: 1.0000e-02 eta: 1 day, 17:01:06 time: 0.4284 data_time: 0.0168 memory: 17087 grad_norm: 5.2968 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6264 loss: 1.6264 2022/08/04 02:11:08 - mmengine - INFO - Epoch(train) [74][1820/1879] lr: 1.0000e-02 eta: 1 day, 17:00:57 time: 0.4297 data_time: 0.0150 memory: 17087 grad_norm: 5.1641 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4558 loss: 1.4558 2022/08/04 02:11:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 02:11:17 - mmengine - INFO - Epoch(train) [74][1840/1879] lr: 1.0000e-02 eta: 1 day, 17:00:50 time: 0.4571 data_time: 0.0164 memory: 17087 grad_norm: 5.0897 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6524 loss: 1.6524 2022/08/04 02:11:26 - mmengine - INFO - Epoch(train) [74][1860/1879] lr: 1.0000e-02 eta: 1 day, 17:00:41 time: 0.4274 data_time: 0.0158 memory: 17087 grad_norm: 5.1628 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5337 loss: 1.5337 2022/08/04 02:11:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 02:11:34 - mmengine - INFO - Epoch(train) [74][1879/1879] lr: 1.0000e-02 eta: 1 day, 17:00:41 time: 0.4106 data_time: 0.0157 memory: 17087 grad_norm: 5.3783 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.7110 loss: 1.7110 2022/08/04 02:11:45 - mmengine - INFO - Epoch(train) [75][20/1879] lr: 1.0000e-02 eta: 1 day, 17:00:11 time: 0.5765 data_time: 0.1362 memory: 17087 grad_norm: 5.0910 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4657 loss: 1.4657 2022/08/04 02:11:54 - mmengine - INFO - Epoch(train) [75][40/1879] lr: 1.0000e-02 eta: 1 day, 17:00:03 time: 0.4383 data_time: 0.0193 memory: 17087 grad_norm: 5.2031 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5131 loss: 1.5131 2022/08/04 02:12:03 - mmengine - INFO - Epoch(train) [75][60/1879] lr: 1.0000e-02 eta: 1 day, 16:59:54 time: 0.4300 data_time: 0.0150 memory: 17087 grad_norm: 5.0946 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3972 loss: 1.3972 2022/08/04 02:12:11 - mmengine - INFO - Epoch(train) [75][80/1879] lr: 1.0000e-02 eta: 1 day, 16:59:45 time: 0.4266 data_time: 0.0159 memory: 17087 grad_norm: 5.1351 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.5412 loss: 1.5412 2022/08/04 02:12:20 - mmengine - INFO - Epoch(train) [75][100/1879] lr: 1.0000e-02 eta: 1 day, 16:59:36 time: 0.4301 data_time: 0.0142 memory: 17087 grad_norm: 5.1248 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3002 loss: 1.3002 2022/08/04 02:12:28 - mmengine - INFO - Epoch(train) [75][120/1879] lr: 1.0000e-02 eta: 1 day, 16:59:27 time: 0.4278 data_time: 0.0164 memory: 17087 grad_norm: 5.2589 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6912 loss: 1.6912 2022/08/04 02:12:37 - mmengine - INFO - Epoch(train) [75][140/1879] lr: 1.0000e-02 eta: 1 day, 16:59:19 time: 0.4299 data_time: 0.0147 memory: 17087 grad_norm: 5.1331 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6578 loss: 1.6578 2022/08/04 02:12:46 - mmengine - INFO - Epoch(train) [75][160/1879] lr: 1.0000e-02 eta: 1 day, 16:59:10 time: 0.4274 data_time: 0.0157 memory: 17087 grad_norm: 5.1138 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4719 loss: 1.4719 2022/08/04 02:12:54 - mmengine - INFO - Epoch(train) [75][180/1879] lr: 1.0000e-02 eta: 1 day, 16:59:01 time: 0.4337 data_time: 0.0134 memory: 17087 grad_norm: 5.1305 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5065 loss: 1.5065 2022/08/04 02:13:03 - mmengine - INFO - Epoch(train) [75][200/1879] lr: 1.0000e-02 eta: 1 day, 16:58:52 time: 0.4276 data_time: 0.0163 memory: 17087 grad_norm: 5.1835 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5301 loss: 1.5301 2022/08/04 02:13:11 - mmengine - INFO - Epoch(train) [75][220/1879] lr: 1.0000e-02 eta: 1 day, 16:58:43 time: 0.4238 data_time: 0.0131 memory: 17087 grad_norm: 5.0917 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4507 loss: 1.4507 2022/08/04 02:13:20 - mmengine - INFO - Epoch(train) [75][240/1879] lr: 1.0000e-02 eta: 1 day, 16:58:35 time: 0.4341 data_time: 0.0174 memory: 17087 grad_norm: 5.1168 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5824 loss: 1.5824 2022/08/04 02:13:29 - mmengine - INFO - Epoch(train) [75][260/1879] lr: 1.0000e-02 eta: 1 day, 16:58:26 time: 0.4283 data_time: 0.0141 memory: 17087 grad_norm: 5.1654 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5751 loss: 1.5751 2022/08/04 02:13:37 - mmengine - INFO - Epoch(train) [75][280/1879] lr: 1.0000e-02 eta: 1 day, 16:58:18 time: 0.4332 data_time: 0.0157 memory: 17087 grad_norm: 5.1260 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3167 loss: 1.3167 2022/08/04 02:13:46 - mmengine - INFO - Epoch(train) [75][300/1879] lr: 1.0000e-02 eta: 1 day, 16:58:09 time: 0.4257 data_time: 0.0154 memory: 17087 grad_norm: 5.1817 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5085 loss: 1.5085 2022/08/04 02:13:55 - mmengine - INFO - Epoch(train) [75][320/1879] lr: 1.0000e-02 eta: 1 day, 16:58:01 time: 0.4472 data_time: 0.0166 memory: 17087 grad_norm: 5.2050 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2590 loss: 1.2590 2022/08/04 02:14:03 - mmengine - INFO - Epoch(train) [75][340/1879] lr: 1.0000e-02 eta: 1 day, 16:57:52 time: 0.4266 data_time: 0.0150 memory: 17087 grad_norm: 5.2860 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5769 loss: 1.5769 2022/08/04 02:14:12 - mmengine - INFO - Epoch(train) [75][360/1879] lr: 1.0000e-02 eta: 1 day, 16:57:43 time: 0.4305 data_time: 0.0146 memory: 17087 grad_norm: 5.3752 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5523 loss: 1.5523 2022/08/04 02:14:21 - mmengine - INFO - Epoch(train) [75][380/1879] lr: 1.0000e-02 eta: 1 day, 16:57:35 time: 0.4396 data_time: 0.0151 memory: 17087 grad_norm: 5.1371 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4499 loss: 1.4499 2022/08/04 02:14:29 - mmengine - INFO - Epoch(train) [75][400/1879] lr: 1.0000e-02 eta: 1 day, 16:57:26 time: 0.4270 data_time: 0.0149 memory: 17087 grad_norm: 5.1194 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5998 loss: 1.5998 2022/08/04 02:14:38 - mmengine - INFO - Epoch(train) [75][420/1879] lr: 1.0000e-02 eta: 1 day, 16:57:18 time: 0.4361 data_time: 0.0158 memory: 17087 grad_norm: 5.1595 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6782 loss: 1.6782 2022/08/04 02:14:46 - mmengine - INFO - Epoch(train) [75][440/1879] lr: 1.0000e-02 eta: 1 day, 16:57:09 time: 0.4264 data_time: 0.0165 memory: 17087 grad_norm: 5.2246 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5410 loss: 1.5410 2022/08/04 02:14:55 - mmengine - INFO - Epoch(train) [75][460/1879] lr: 1.0000e-02 eta: 1 day, 16:57:01 time: 0.4474 data_time: 0.0166 memory: 17087 grad_norm: 5.0345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5049 loss: 1.5049 2022/08/04 02:15:04 - mmengine - INFO - Epoch(train) [75][480/1879] lr: 1.0000e-02 eta: 1 day, 16:56:52 time: 0.4274 data_time: 0.0154 memory: 17087 grad_norm: 5.1885 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6738 loss: 1.6738 2022/08/04 02:15:13 - mmengine - INFO - Epoch(train) [75][500/1879] lr: 1.0000e-02 eta: 1 day, 16:56:43 time: 0.4286 data_time: 0.0134 memory: 17087 grad_norm: 5.1153 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4047 loss: 1.4047 2022/08/04 02:15:21 - mmengine - INFO - Epoch(train) [75][520/1879] lr: 1.0000e-02 eta: 1 day, 16:56:34 time: 0.4256 data_time: 0.0155 memory: 17087 grad_norm: 5.1004 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6085 loss: 1.6085 2022/08/04 02:15:30 - mmengine - INFO - Epoch(train) [75][540/1879] lr: 1.0000e-02 eta: 1 day, 16:56:26 time: 0.4330 data_time: 0.0172 memory: 17087 grad_norm: 5.3202 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5006 loss: 1.5006 2022/08/04 02:15:38 - mmengine - INFO - Epoch(train) [75][560/1879] lr: 1.0000e-02 eta: 1 day, 16:56:17 time: 0.4279 data_time: 0.0171 memory: 17087 grad_norm: 5.1578 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6925 loss: 1.6925 2022/08/04 02:15:48 - mmengine - INFO - Epoch(train) [75][580/1879] lr: 1.0000e-02 eta: 1 day, 16:56:10 time: 0.4746 data_time: 0.0212 memory: 17087 grad_norm: 5.2496 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6959 loss: 1.6959 2022/08/04 02:15:56 - mmengine - INFO - Epoch(train) [75][600/1879] lr: 1.0000e-02 eta: 1 day, 16:56:02 time: 0.4270 data_time: 0.0157 memory: 17087 grad_norm: 5.1364 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5898 loss: 1.5898 2022/08/04 02:16:05 - mmengine - INFO - Epoch(train) [75][620/1879] lr: 1.0000e-02 eta: 1 day, 16:55:54 time: 0.4435 data_time: 0.0217 memory: 17087 grad_norm: 5.1558 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7429 loss: 1.7429 2022/08/04 02:16:14 - mmengine - INFO - Epoch(train) [75][640/1879] lr: 1.0000e-02 eta: 1 day, 16:55:45 time: 0.4288 data_time: 0.0164 memory: 17087 grad_norm: 5.2339 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7333 loss: 1.7333 2022/08/04 02:16:23 - mmengine - INFO - Epoch(train) [75][660/1879] lr: 1.0000e-02 eta: 1 day, 16:55:36 time: 0.4349 data_time: 0.0169 memory: 17087 grad_norm: 5.0743 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5863 loss: 1.5863 2022/08/04 02:16:31 - mmengine - INFO - Epoch(train) [75][680/1879] lr: 1.0000e-02 eta: 1 day, 16:55:27 time: 0.4273 data_time: 0.0153 memory: 17087 grad_norm: 5.2182 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4394 loss: 1.4394 2022/08/04 02:16:40 - mmengine - INFO - Epoch(train) [75][700/1879] lr: 1.0000e-02 eta: 1 day, 16:55:18 time: 0.4243 data_time: 0.0137 memory: 17087 grad_norm: 5.3233 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5869 loss: 1.5869 2022/08/04 02:16:49 - mmengine - INFO - Epoch(train) [75][720/1879] lr: 1.0000e-02 eta: 1 day, 16:55:12 time: 0.4713 data_time: 0.0253 memory: 17087 grad_norm: 5.2046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6400 loss: 1.6400 2022/08/04 02:16:58 - mmengine - INFO - Epoch(train) [75][740/1879] lr: 1.0000e-02 eta: 1 day, 16:55:03 time: 0.4284 data_time: 0.0141 memory: 17087 grad_norm: 5.2198 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3711 loss: 1.3711 2022/08/04 02:17:07 - mmengine - INFO - Epoch(train) [75][760/1879] lr: 1.0000e-02 eta: 1 day, 16:54:56 time: 0.4578 data_time: 0.0167 memory: 17087 grad_norm: 5.2624 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4942 loss: 1.4942 2022/08/04 02:17:15 - mmengine - INFO - Epoch(train) [75][780/1879] lr: 1.0000e-02 eta: 1 day, 16:54:47 time: 0.4270 data_time: 0.0152 memory: 17087 grad_norm: 5.2056 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5922 loss: 1.5922 2022/08/04 02:17:24 - mmengine - INFO - Epoch(train) [75][800/1879] lr: 1.0000e-02 eta: 1 day, 16:54:38 time: 0.4394 data_time: 0.0209 memory: 17087 grad_norm: 4.9823 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4517 loss: 1.4517 2022/08/04 02:17:33 - mmengine - INFO - Epoch(train) [75][820/1879] lr: 1.0000e-02 eta: 1 day, 16:54:30 time: 0.4377 data_time: 0.0153 memory: 17087 grad_norm: 5.2519 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5735 loss: 1.5735 2022/08/04 02:17:41 - mmengine - INFO - Epoch(train) [75][840/1879] lr: 1.0000e-02 eta: 1 day, 16:54:21 time: 0.4256 data_time: 0.0155 memory: 17087 grad_norm: 5.0614 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4334 loss: 1.4334 2022/08/04 02:17:50 - mmengine - INFO - Epoch(train) [75][860/1879] lr: 1.0000e-02 eta: 1 day, 16:54:13 time: 0.4306 data_time: 0.0134 memory: 17087 grad_norm: 5.1899 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4288 loss: 1.4288 2022/08/04 02:17:59 - mmengine - INFO - Epoch(train) [75][880/1879] lr: 1.0000e-02 eta: 1 day, 16:54:04 time: 0.4279 data_time: 0.0160 memory: 17087 grad_norm: 5.2198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7185 loss: 1.7185 2022/08/04 02:18:08 - mmengine - INFO - Epoch(train) [75][900/1879] lr: 1.0000e-02 eta: 1 day, 16:53:56 time: 0.4523 data_time: 0.0154 memory: 17087 grad_norm: 5.1686 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7081 loss: 1.7081 2022/08/04 02:18:16 - mmengine - INFO - Epoch(train) [75][920/1879] lr: 1.0000e-02 eta: 1 day, 16:53:47 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 5.1313 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5445 loss: 1.5445 2022/08/04 02:18:25 - mmengine - INFO - Epoch(train) [75][940/1879] lr: 1.0000e-02 eta: 1 day, 16:53:40 time: 0.4530 data_time: 0.0181 memory: 17087 grad_norm: 5.2274 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6163 loss: 1.6163 2022/08/04 02:18:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 02:18:34 - mmengine - INFO - Epoch(train) [75][960/1879] lr: 1.0000e-02 eta: 1 day, 16:53:31 time: 0.4254 data_time: 0.0152 memory: 17087 grad_norm: 5.3405 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6373 loss: 1.6373 2022/08/04 02:18:43 - mmengine - INFO - Epoch(train) [75][980/1879] lr: 1.0000e-02 eta: 1 day, 16:53:22 time: 0.4377 data_time: 0.0195 memory: 17087 grad_norm: 5.3344 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3797 loss: 1.3797 2022/08/04 02:18:51 - mmengine - INFO - Epoch(train) [75][1000/1879] lr: 1.0000e-02 eta: 1 day, 16:53:14 time: 0.4260 data_time: 0.0156 memory: 17087 grad_norm: 5.1664 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6500 loss: 1.6500 2022/08/04 02:19:00 - mmengine - INFO - Epoch(train) [75][1020/1879] lr: 1.0000e-02 eta: 1 day, 16:53:05 time: 0.4247 data_time: 0.0142 memory: 17087 grad_norm: 5.2123 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4580 loss: 1.4580 2022/08/04 02:19:08 - mmengine - INFO - Epoch(train) [75][1040/1879] lr: 1.0000e-02 eta: 1 day, 16:52:56 time: 0.4352 data_time: 0.0171 memory: 17087 grad_norm: 5.2391 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.8172 loss: 1.8172 2022/08/04 02:19:17 - mmengine - INFO - Epoch(train) [75][1060/1879] lr: 1.0000e-02 eta: 1 day, 16:52:47 time: 0.4292 data_time: 0.0134 memory: 17087 grad_norm: 5.2634 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8215 loss: 1.8215 2022/08/04 02:19:26 - mmengine - INFO - Epoch(train) [75][1080/1879] lr: 1.0000e-02 eta: 1 day, 16:52:40 time: 0.4517 data_time: 0.0170 memory: 17087 grad_norm: 5.1228 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4104 loss: 1.4104 2022/08/04 02:19:35 - mmengine - INFO - Epoch(train) [75][1100/1879] lr: 1.0000e-02 eta: 1 day, 16:52:31 time: 0.4307 data_time: 0.0145 memory: 17087 grad_norm: 5.0761 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2744 loss: 1.2744 2022/08/04 02:19:43 - mmengine - INFO - Epoch(train) [75][1120/1879] lr: 1.0000e-02 eta: 1 day, 16:52:22 time: 0.4324 data_time: 0.0170 memory: 17087 grad_norm: 5.1926 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4410 loss: 1.4410 2022/08/04 02:19:52 - mmengine - INFO - Epoch(train) [75][1140/1879] lr: 1.0000e-02 eta: 1 day, 16:52:13 time: 0.4223 data_time: 0.0133 memory: 17087 grad_norm: 5.0561 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3966 loss: 1.3966 2022/08/04 02:20:00 - mmengine - INFO - Epoch(train) [75][1160/1879] lr: 1.0000e-02 eta: 1 day, 16:52:04 time: 0.4270 data_time: 0.0170 memory: 17087 grad_norm: 5.4092 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6980 loss: 1.6980 2022/08/04 02:20:09 - mmengine - INFO - Epoch(train) [75][1180/1879] lr: 1.0000e-02 eta: 1 day, 16:51:57 time: 0.4482 data_time: 0.0149 memory: 17087 grad_norm: 5.0486 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5300 loss: 1.5300 2022/08/04 02:20:18 - mmengine - INFO - Epoch(train) [75][1200/1879] lr: 1.0000e-02 eta: 1 day, 16:51:48 time: 0.4335 data_time: 0.0165 memory: 17087 grad_norm: 5.2281 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4897 loss: 1.4897 2022/08/04 02:20:27 - mmengine - INFO - Epoch(train) [75][1220/1879] lr: 1.0000e-02 eta: 1 day, 16:51:40 time: 0.4328 data_time: 0.0148 memory: 17087 grad_norm: 5.3567 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4705 loss: 1.4705 2022/08/04 02:20:35 - mmengine - INFO - Epoch(train) [75][1240/1879] lr: 1.0000e-02 eta: 1 day, 16:51:31 time: 0.4287 data_time: 0.0165 memory: 17087 grad_norm: 5.2311 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6125 loss: 1.6125 2022/08/04 02:20:44 - mmengine - INFO - Epoch(train) [75][1260/1879] lr: 1.0000e-02 eta: 1 day, 16:51:22 time: 0.4252 data_time: 0.0144 memory: 17087 grad_norm: 5.1129 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.8110 loss: 1.8110 2022/08/04 02:20:52 - mmengine - INFO - Epoch(train) [75][1280/1879] lr: 1.0000e-02 eta: 1 day, 16:51:13 time: 0.4279 data_time: 0.0151 memory: 17087 grad_norm: 5.2900 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6319 loss: 1.6319 2022/08/04 02:21:01 - mmengine - INFO - Epoch(train) [75][1300/1879] lr: 1.0000e-02 eta: 1 day, 16:51:04 time: 0.4246 data_time: 0.0128 memory: 17087 grad_norm: 5.2777 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7592 loss: 1.7592 2022/08/04 02:21:10 - mmengine - INFO - Epoch(train) [75][1320/1879] lr: 1.0000e-02 eta: 1 day, 16:50:56 time: 0.4492 data_time: 0.0160 memory: 17087 grad_norm: 5.1148 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6830 loss: 1.6830 2022/08/04 02:21:18 - mmengine - INFO - Epoch(train) [75][1340/1879] lr: 1.0000e-02 eta: 1 day, 16:50:47 time: 0.4299 data_time: 0.0186 memory: 17087 grad_norm: 5.1743 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5872 loss: 1.5872 2022/08/04 02:21:27 - mmengine - INFO - Epoch(train) [75][1360/1879] lr: 1.0000e-02 eta: 1 day, 16:50:39 time: 0.4354 data_time: 0.0176 memory: 17087 grad_norm: 5.2549 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3675 loss: 1.3675 2022/08/04 02:21:36 - mmengine - INFO - Epoch(train) [75][1380/1879] lr: 1.0000e-02 eta: 1 day, 16:50:30 time: 0.4330 data_time: 0.0187 memory: 17087 grad_norm: 5.1829 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6142 loss: 1.6142 2022/08/04 02:21:45 - mmengine - INFO - Epoch(train) [75][1400/1879] lr: 1.0000e-02 eta: 1 day, 16:50:23 time: 0.4618 data_time: 0.0175 memory: 17087 grad_norm: 5.2728 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7164 loss: 1.7164 2022/08/04 02:21:54 - mmengine - INFO - Epoch(train) [75][1420/1879] lr: 1.0000e-02 eta: 1 day, 16:50:15 time: 0.4334 data_time: 0.0221 memory: 17087 grad_norm: 5.2132 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5224 loss: 1.5224 2022/08/04 02:22:02 - mmengine - INFO - Epoch(train) [75][1440/1879] lr: 1.0000e-02 eta: 1 day, 16:50:06 time: 0.4277 data_time: 0.0177 memory: 17087 grad_norm: 5.2524 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6561 loss: 1.6561 2022/08/04 02:22:11 - mmengine - INFO - Epoch(train) [75][1460/1879] lr: 1.0000e-02 eta: 1 day, 16:49:59 time: 0.4599 data_time: 0.0144 memory: 17087 grad_norm: 5.2337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6224 loss: 1.6224 2022/08/04 02:22:20 - mmengine - INFO - Epoch(train) [75][1480/1879] lr: 1.0000e-02 eta: 1 day, 16:49:50 time: 0.4343 data_time: 0.0236 memory: 17087 grad_norm: 5.2631 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4133 loss: 1.4133 2022/08/04 02:22:29 - mmengine - INFO - Epoch(train) [75][1500/1879] lr: 1.0000e-02 eta: 1 day, 16:49:42 time: 0.4512 data_time: 0.0142 memory: 17087 grad_norm: 5.2721 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6442 loss: 1.6442 2022/08/04 02:22:38 - mmengine - INFO - Epoch(train) [75][1520/1879] lr: 1.0000e-02 eta: 1 day, 16:49:34 time: 0.4379 data_time: 0.0200 memory: 17087 grad_norm: 5.0535 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5178 loss: 1.5178 2022/08/04 02:22:46 - mmengine - INFO - Epoch(train) [75][1540/1879] lr: 1.0000e-02 eta: 1 day, 16:49:25 time: 0.4258 data_time: 0.0141 memory: 17087 grad_norm: 4.9864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5151 loss: 1.5151 2022/08/04 02:22:56 - mmengine - INFO - Epoch(train) [75][1560/1879] lr: 1.0000e-02 eta: 1 day, 16:49:18 time: 0.4557 data_time: 0.0187 memory: 17087 grad_norm: 5.1303 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6621 loss: 1.6621 2022/08/04 02:23:04 - mmengine - INFO - Epoch(train) [75][1580/1879] lr: 1.0000e-02 eta: 1 day, 16:49:09 time: 0.4299 data_time: 0.0180 memory: 17087 grad_norm: 5.1494 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6733 loss: 1.6733 2022/08/04 02:23:13 - mmengine - INFO - Epoch(train) [75][1600/1879] lr: 1.0000e-02 eta: 1 day, 16:49:01 time: 0.4370 data_time: 0.0163 memory: 17087 grad_norm: 5.1322 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4418 loss: 1.4418 2022/08/04 02:23:21 - mmengine - INFO - Epoch(train) [75][1620/1879] lr: 1.0000e-02 eta: 1 day, 16:48:52 time: 0.4258 data_time: 0.0154 memory: 17087 grad_norm: 5.1781 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6588 loss: 1.6588 2022/08/04 02:23:30 - mmengine - INFO - Epoch(train) [75][1640/1879] lr: 1.0000e-02 eta: 1 day, 16:48:44 time: 0.4454 data_time: 0.0160 memory: 17087 grad_norm: 5.2069 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5091 loss: 1.5091 2022/08/04 02:23:39 - mmengine - INFO - Epoch(train) [75][1660/1879] lr: 1.0000e-02 eta: 1 day, 16:48:35 time: 0.4263 data_time: 0.0154 memory: 17087 grad_norm: 5.2305 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4998 loss: 1.4998 2022/08/04 02:23:48 - mmengine - INFO - Epoch(train) [75][1680/1879] lr: 1.0000e-02 eta: 1 day, 16:48:28 time: 0.4608 data_time: 0.0171 memory: 17087 grad_norm: 5.2893 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5131 loss: 1.5131 2022/08/04 02:23:57 - mmengine - INFO - Epoch(train) [75][1700/1879] lr: 1.0000e-02 eta: 1 day, 16:48:19 time: 0.4273 data_time: 0.0159 memory: 17087 grad_norm: 5.1256 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5226 loss: 1.5226 2022/08/04 02:24:05 - mmengine - INFO - Epoch(train) [75][1720/1879] lr: 1.0000e-02 eta: 1 day, 16:48:10 time: 0.4342 data_time: 0.0160 memory: 17087 grad_norm: 5.0985 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5073 loss: 1.5073 2022/08/04 02:24:14 - mmengine - INFO - Epoch(train) [75][1740/1879] lr: 1.0000e-02 eta: 1 day, 16:48:01 time: 0.4264 data_time: 0.0150 memory: 17087 grad_norm: 5.3435 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5737 loss: 1.5737 2022/08/04 02:24:22 - mmengine - INFO - Epoch(train) [75][1760/1879] lr: 1.0000e-02 eta: 1 day, 16:47:52 time: 0.4253 data_time: 0.0146 memory: 17087 grad_norm: 5.1962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4338 loss: 1.4338 2022/08/04 02:24:32 - mmengine - INFO - Epoch(train) [75][1780/1879] lr: 1.0000e-02 eta: 1 day, 16:47:45 time: 0.4545 data_time: 0.0145 memory: 17087 grad_norm: 5.2791 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6087 loss: 1.6087 2022/08/04 02:24:40 - mmengine - INFO - Epoch(train) [75][1800/1879] lr: 1.0000e-02 eta: 1 day, 16:47:36 time: 0.4274 data_time: 0.0159 memory: 17087 grad_norm: 5.0617 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5774 loss: 1.5774 2022/08/04 02:24:49 - mmengine - INFO - Epoch(train) [75][1820/1879] lr: 1.0000e-02 eta: 1 day, 16:47:28 time: 0.4436 data_time: 0.0170 memory: 17087 grad_norm: 5.2362 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6208 loss: 1.6208 2022/08/04 02:24:58 - mmengine - INFO - Epoch(train) [75][1840/1879] lr: 1.0000e-02 eta: 1 day, 16:47:19 time: 0.4266 data_time: 0.0146 memory: 17087 grad_norm: 5.1886 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6251 loss: 1.6251 2022/08/04 02:25:07 - mmengine - INFO - Epoch(train) [75][1860/1879] lr: 1.0000e-02 eta: 1 day, 16:47:12 time: 0.4559 data_time: 0.0150 memory: 17087 grad_norm: 5.0922 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6091 loss: 1.6091 2022/08/04 02:25:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 02:25:14 - mmengine - INFO - Epoch(train) [75][1879/1879] lr: 1.0000e-02 eta: 1 day, 16:47:12 time: 0.4089 data_time: 0.0143 memory: 17087 grad_norm: 5.2482 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.6862 loss: 1.6862 2022/08/04 02:25:22 - mmengine - INFO - Epoch(val) [75][20/155] eta: 0:00:53 time: 0.3978 data_time: 0.2306 memory: 2821 2022/08/04 02:25:29 - mmengine - INFO - Epoch(val) [75][40/155] eta: 0:00:34 time: 0.3042 data_time: 0.1407 memory: 2821 2022/08/04 02:25:34 - mmengine - INFO - Epoch(val) [75][60/155] eta: 0:00:26 time: 0.2783 data_time: 0.1120 memory: 2821 2022/08/04 02:25:40 - mmengine - INFO - Epoch(val) [75][80/155] eta: 0:00:21 time: 0.2814 data_time: 0.1147 memory: 2821 2022/08/04 02:25:45 - mmengine - INFO - Epoch(val) [75][100/155] eta: 0:00:15 time: 0.2820 data_time: 0.1142 memory: 2821 2022/08/04 02:25:51 - mmengine - INFO - Epoch(val) [75][120/155] eta: 0:00:10 time: 0.3048 data_time: 0.1394 memory: 2821 2022/08/04 02:25:58 - mmengine - INFO - Epoch(val) [75][140/155] eta: 0:00:04 time: 0.3017 data_time: 0.1369 memory: 2821 2022/08/04 02:26:02 - mmengine - INFO - Epoch(val) [75][155/155] acc/top1: 0.6515 acc/top5: 0.8642 acc/mean1: 0.6514 2022/08/04 02:26:14 - mmengine - INFO - Epoch(train) [76][20/1879] lr: 1.0000e-02 eta: 1 day, 16:46:42 time: 0.5697 data_time: 0.1385 memory: 17087 grad_norm: 5.0638 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2811 loss: 1.2811 2022/08/04 02:26:22 - mmengine - INFO - Epoch(train) [76][40/1879] lr: 1.0000e-02 eta: 1 day, 16:46:33 time: 0.4263 data_time: 0.0147 memory: 17087 grad_norm: 5.2626 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5955 loss: 1.5955 2022/08/04 02:26:31 - mmengine - INFO - Epoch(train) [76][60/1879] lr: 1.0000e-02 eta: 1 day, 16:46:24 time: 0.4288 data_time: 0.0152 memory: 17087 grad_norm: 5.1073 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4062 loss: 1.4062 2022/08/04 02:26:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 02:26:39 - mmengine - INFO - Epoch(train) [76][80/1879] lr: 1.0000e-02 eta: 1 day, 16:46:15 time: 0.4261 data_time: 0.0160 memory: 17087 grad_norm: 5.1216 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4944 loss: 1.4944 2022/08/04 02:26:49 - mmengine - INFO - Epoch(train) [76][100/1879] lr: 1.0000e-02 eta: 1 day, 16:46:08 time: 0.4561 data_time: 0.0146 memory: 17087 grad_norm: 5.1678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6013 loss: 1.6013 2022/08/04 02:26:57 - mmengine - INFO - Epoch(train) [76][120/1879] lr: 1.0000e-02 eta: 1 day, 16:45:59 time: 0.4319 data_time: 0.0207 memory: 17087 grad_norm: 5.2627 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5180 loss: 1.5180 2022/08/04 02:27:06 - mmengine - INFO - Epoch(train) [76][140/1879] lr: 1.0000e-02 eta: 1 day, 16:45:50 time: 0.4292 data_time: 0.0164 memory: 17087 grad_norm: 5.2457 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5841 loss: 1.5841 2022/08/04 02:27:14 - mmengine - INFO - Epoch(train) [76][160/1879] lr: 1.0000e-02 eta: 1 day, 16:45:41 time: 0.4279 data_time: 0.0165 memory: 17087 grad_norm: 5.1909 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4776 loss: 1.4776 2022/08/04 02:27:23 - mmengine - INFO - Epoch(train) [76][180/1879] lr: 1.0000e-02 eta: 1 day, 16:45:33 time: 0.4292 data_time: 0.0142 memory: 17087 grad_norm: 5.2444 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5194 loss: 1.5194 2022/08/04 02:27:32 - mmengine - INFO - Epoch(train) [76][200/1879] lr: 1.0000e-02 eta: 1 day, 16:45:24 time: 0.4394 data_time: 0.0155 memory: 17087 grad_norm: 5.0968 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1452 loss: 1.1452 2022/08/04 02:27:40 - mmengine - INFO - Epoch(train) [76][220/1879] lr: 1.0000e-02 eta: 1 day, 16:45:16 time: 0.4265 data_time: 0.0129 memory: 17087 grad_norm: 5.0770 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4570 loss: 1.4570 2022/08/04 02:27:49 - mmengine - INFO - Epoch(train) [76][240/1879] lr: 1.0000e-02 eta: 1 day, 16:45:07 time: 0.4287 data_time: 0.0184 memory: 17087 grad_norm: 5.3062 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4364 loss: 1.4364 2022/08/04 02:27:58 - mmengine - INFO - Epoch(train) [76][260/1879] lr: 1.0000e-02 eta: 1 day, 16:44:58 time: 0.4354 data_time: 0.0137 memory: 17087 grad_norm: 5.3061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4657 loss: 1.4657 2022/08/04 02:28:06 - mmengine - INFO - Epoch(train) [76][280/1879] lr: 1.0000e-02 eta: 1 day, 16:44:49 time: 0.4272 data_time: 0.0166 memory: 17087 grad_norm: 5.2658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6571 loss: 1.6571 2022/08/04 02:28:15 - mmengine - INFO - Epoch(train) [76][300/1879] lr: 1.0000e-02 eta: 1 day, 16:44:42 time: 0.4565 data_time: 0.0146 memory: 17087 grad_norm: 5.2197 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5551 loss: 1.5551 2022/08/04 02:28:24 - mmengine - INFO - Epoch(train) [76][320/1879] lr: 1.0000e-02 eta: 1 day, 16:44:33 time: 0.4263 data_time: 0.0156 memory: 17087 grad_norm: 5.1961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5752 loss: 1.5752 2022/08/04 02:28:32 - mmengine - INFO - Epoch(train) [76][340/1879] lr: 1.0000e-02 eta: 1 day, 16:44:24 time: 0.4253 data_time: 0.0134 memory: 17087 grad_norm: 5.1679 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4027 loss: 1.4027 2022/08/04 02:28:41 - mmengine - INFO - Epoch(train) [76][360/1879] lr: 1.0000e-02 eta: 1 day, 16:44:16 time: 0.4384 data_time: 0.0189 memory: 17087 grad_norm: 5.1393 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4739 loss: 1.4739 2022/08/04 02:28:50 - mmengine - INFO - Epoch(train) [76][380/1879] lr: 1.0000e-02 eta: 1 day, 16:44:07 time: 0.4300 data_time: 0.0190 memory: 17087 grad_norm: 5.1832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3813 loss: 1.3813 2022/08/04 02:28:58 - mmengine - INFO - Epoch(train) [76][400/1879] lr: 1.0000e-02 eta: 1 day, 16:43:59 time: 0.4314 data_time: 0.0177 memory: 17087 grad_norm: 5.2267 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4721 loss: 1.4721 2022/08/04 02:29:07 - mmengine - INFO - Epoch(train) [76][420/1879] lr: 1.0000e-02 eta: 1 day, 16:43:50 time: 0.4259 data_time: 0.0141 memory: 17087 grad_norm: 5.2440 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5075 loss: 1.5075 2022/08/04 02:29:16 - mmengine - INFO - Epoch(train) [76][440/1879] lr: 1.0000e-02 eta: 1 day, 16:43:42 time: 0.4622 data_time: 0.0179 memory: 17087 grad_norm: 5.3010 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6002 loss: 1.6002 2022/08/04 02:29:25 - mmengine - INFO - Epoch(train) [76][460/1879] lr: 1.0000e-02 eta: 1 day, 16:43:34 time: 0.4259 data_time: 0.0160 memory: 17087 grad_norm: 5.1912 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5770 loss: 1.5770 2022/08/04 02:29:33 - mmengine - INFO - Epoch(train) [76][480/1879] lr: 1.0000e-02 eta: 1 day, 16:43:25 time: 0.4283 data_time: 0.0165 memory: 17087 grad_norm: 5.1571 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4385 loss: 1.4385 2022/08/04 02:29:42 - mmengine - INFO - Epoch(train) [76][500/1879] lr: 1.0000e-02 eta: 1 day, 16:43:16 time: 0.4329 data_time: 0.0140 memory: 17087 grad_norm: 5.1247 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5059 loss: 1.5059 2022/08/04 02:29:50 - mmengine - INFO - Epoch(train) [76][520/1879] lr: 1.0000e-02 eta: 1 day, 16:43:07 time: 0.4262 data_time: 0.0152 memory: 17087 grad_norm: 5.1886 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4897 loss: 1.4897 2022/08/04 02:29:59 - mmengine - INFO - Epoch(train) [76][540/1879] lr: 1.0000e-02 eta: 1 day, 16:43:00 time: 0.4510 data_time: 0.0154 memory: 17087 grad_norm: 5.1199 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6501 loss: 1.6501 2022/08/04 02:30:08 - mmengine - INFO - Epoch(train) [76][560/1879] lr: 1.0000e-02 eta: 1 day, 16:42:51 time: 0.4303 data_time: 0.0180 memory: 17087 grad_norm: 5.2359 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4677 loss: 1.4677 2022/08/04 02:30:17 - mmengine - INFO - Epoch(train) [76][580/1879] lr: 1.0000e-02 eta: 1 day, 16:42:42 time: 0.4250 data_time: 0.0136 memory: 17087 grad_norm: 5.2253 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4924 loss: 1.4924 2022/08/04 02:30:26 - mmengine - INFO - Epoch(train) [76][600/1879] lr: 1.0000e-02 eta: 1 day, 16:42:34 time: 0.4544 data_time: 0.0171 memory: 17087 grad_norm: 5.3143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5998 loss: 1.5998 2022/08/04 02:30:34 - mmengine - INFO - Epoch(train) [76][620/1879] lr: 1.0000e-02 eta: 1 day, 16:42:26 time: 0.4268 data_time: 0.0139 memory: 17087 grad_norm: 5.2606 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3388 loss: 1.3388 2022/08/04 02:30:43 - mmengine - INFO - Epoch(train) [76][640/1879] lr: 1.0000e-02 eta: 1 day, 16:42:17 time: 0.4257 data_time: 0.0165 memory: 17087 grad_norm: 5.2071 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5436 loss: 1.5436 2022/08/04 02:30:52 - mmengine - INFO - Epoch(train) [76][660/1879] lr: 1.0000e-02 eta: 1 day, 16:42:09 time: 0.4492 data_time: 0.0158 memory: 17087 grad_norm: 5.1440 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6459 loss: 1.6459 2022/08/04 02:31:00 - mmengine - INFO - Epoch(train) [76][680/1879] lr: 1.0000e-02 eta: 1 day, 16:42:00 time: 0.4254 data_time: 0.0156 memory: 17087 grad_norm: 5.1855 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4251 loss: 1.4251 2022/08/04 02:31:09 - mmengine - INFO - Epoch(train) [76][700/1879] lr: 1.0000e-02 eta: 1 day, 16:41:51 time: 0.4355 data_time: 0.0205 memory: 17087 grad_norm: 5.2614 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4973 loss: 1.4973 2022/08/04 02:31:18 - mmengine - INFO - Epoch(train) [76][720/1879] lr: 1.0000e-02 eta: 1 day, 16:41:43 time: 0.4267 data_time: 0.0159 memory: 17087 grad_norm: 5.2052 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4408 loss: 1.4408 2022/08/04 02:31:27 - mmengine - INFO - Epoch(train) [76][740/1879] lr: 1.0000e-02 eta: 1 day, 16:41:35 time: 0.4498 data_time: 0.0149 memory: 17087 grad_norm: 5.2704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5344 loss: 1.5344 2022/08/04 02:31:35 - mmengine - INFO - Epoch(train) [76][760/1879] lr: 1.0000e-02 eta: 1 day, 16:41:26 time: 0.4266 data_time: 0.0162 memory: 17087 grad_norm: 5.1176 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4455 loss: 1.4455 2022/08/04 02:31:44 - mmengine - INFO - Epoch(train) [76][780/1879] lr: 1.0000e-02 eta: 1 day, 16:41:18 time: 0.4524 data_time: 0.0148 memory: 17087 grad_norm: 5.2448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5216 loss: 1.5216 2022/08/04 02:31:53 - mmengine - INFO - Epoch(train) [76][800/1879] lr: 1.0000e-02 eta: 1 day, 16:41:09 time: 0.4271 data_time: 0.0161 memory: 17087 grad_norm: 5.1316 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5620 loss: 1.5620 2022/08/04 02:32:01 - mmengine - INFO - Epoch(train) [76][820/1879] lr: 1.0000e-02 eta: 1 day, 16:41:00 time: 0.4251 data_time: 0.0143 memory: 17087 grad_norm: 5.1968 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4620 loss: 1.4620 2022/08/04 02:32:10 - mmengine - INFO - Epoch(train) [76][840/1879] lr: 1.0000e-02 eta: 1 day, 16:40:52 time: 0.4383 data_time: 0.0165 memory: 17087 grad_norm: 5.2962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7132 loss: 1.7132 2022/08/04 02:32:19 - mmengine - INFO - Epoch(train) [76][860/1879] lr: 1.0000e-02 eta: 1 day, 16:40:43 time: 0.4267 data_time: 0.0132 memory: 17087 grad_norm: 5.1407 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6010 loss: 1.6010 2022/08/04 02:32:28 - mmengine - INFO - Epoch(train) [76][880/1879] lr: 1.0000e-02 eta: 1 day, 16:40:36 time: 0.4518 data_time: 0.0164 memory: 17087 grad_norm: 5.1508 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6234 loss: 1.6234 2022/08/04 02:32:36 - mmengine - INFO - Epoch(train) [76][900/1879] lr: 1.0000e-02 eta: 1 day, 16:40:27 time: 0.4251 data_time: 0.0138 memory: 17087 grad_norm: 5.2626 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5877 loss: 1.5877 2022/08/04 02:32:45 - mmengine - INFO - Epoch(train) [76][920/1879] lr: 1.0000e-02 eta: 1 day, 16:40:18 time: 0.4373 data_time: 0.0178 memory: 17087 grad_norm: 5.3444 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4316 loss: 1.4316 2022/08/04 02:32:53 - mmengine - INFO - Epoch(train) [76][940/1879] lr: 1.0000e-02 eta: 1 day, 16:40:09 time: 0.4266 data_time: 0.0150 memory: 17087 grad_norm: 5.1399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4614 loss: 1.4614 2022/08/04 02:33:02 - mmengine - INFO - Epoch(train) [76][960/1879] lr: 1.0000e-02 eta: 1 day, 16:40:01 time: 0.4267 data_time: 0.0149 memory: 17087 grad_norm: 5.3271 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3587 loss: 1.3587 2022/08/04 02:33:11 - mmengine - INFO - Epoch(train) [76][980/1879] lr: 1.0000e-02 eta: 1 day, 16:39:52 time: 0.4386 data_time: 0.0146 memory: 17087 grad_norm: 5.1571 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6400 loss: 1.6400 2022/08/04 02:33:19 - mmengine - INFO - Epoch(train) [76][1000/1879] lr: 1.0000e-02 eta: 1 day, 16:39:44 time: 0.4328 data_time: 0.0157 memory: 17087 grad_norm: 5.2026 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6555 loss: 1.6555 2022/08/04 02:33:28 - mmengine - INFO - Epoch(train) [76][1020/1879] lr: 1.0000e-02 eta: 1 day, 16:39:35 time: 0.4287 data_time: 0.0162 memory: 17087 grad_norm: 5.3417 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5566 loss: 1.5566 2022/08/04 02:33:37 - mmengine - INFO - Epoch(train) [76][1040/1879] lr: 1.0000e-02 eta: 1 day, 16:39:26 time: 0.4316 data_time: 0.0167 memory: 17087 grad_norm: 5.1943 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6202 loss: 1.6202 2022/08/04 02:33:45 - mmengine - INFO - Epoch(train) [76][1060/1879] lr: 1.0000e-02 eta: 1 day, 16:39:18 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 5.3300 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5555 loss: 1.5555 2022/08/04 02:33:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 02:33:54 - mmengine - INFO - Epoch(train) [76][1080/1879] lr: 1.0000e-02 eta: 1 day, 16:39:09 time: 0.4287 data_time: 0.0159 memory: 17087 grad_norm: 5.0984 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5255 loss: 1.5255 2022/08/04 02:34:02 - mmengine - INFO - Epoch(train) [76][1100/1879] lr: 1.0000e-02 eta: 1 day, 16:39:00 time: 0.4260 data_time: 0.0152 memory: 17087 grad_norm: 5.1896 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5390 loss: 1.5390 2022/08/04 02:34:11 - mmengine - INFO - Epoch(train) [76][1120/1879] lr: 1.0000e-02 eta: 1 day, 16:38:51 time: 0.4324 data_time: 0.0163 memory: 17087 grad_norm: 5.3558 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6023 loss: 1.6023 2022/08/04 02:34:19 - mmengine - INFO - Epoch(train) [76][1140/1879] lr: 1.0000e-02 eta: 1 day, 16:38:42 time: 0.4262 data_time: 0.0143 memory: 17087 grad_norm: 5.0390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5825 loss: 1.5825 2022/08/04 02:34:28 - mmengine - INFO - Epoch(train) [76][1160/1879] lr: 1.0000e-02 eta: 1 day, 16:38:34 time: 0.4363 data_time: 0.0172 memory: 17087 grad_norm: 5.0916 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3959 loss: 1.3959 2022/08/04 02:34:37 - mmengine - INFO - Epoch(train) [76][1180/1879] lr: 1.0000e-02 eta: 1 day, 16:38:25 time: 0.4253 data_time: 0.0127 memory: 17087 grad_norm: 5.1574 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7585 loss: 1.7585 2022/08/04 02:34:46 - mmengine - INFO - Epoch(train) [76][1200/1879] lr: 1.0000e-02 eta: 1 day, 16:38:17 time: 0.4453 data_time: 0.0162 memory: 17087 grad_norm: 5.2193 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5662 loss: 1.5662 2022/08/04 02:34:54 - mmengine - INFO - Epoch(train) [76][1220/1879] lr: 1.0000e-02 eta: 1 day, 16:38:08 time: 0.4259 data_time: 0.0141 memory: 17087 grad_norm: 5.3147 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6218 loss: 1.6218 2022/08/04 02:35:03 - mmengine - INFO - Epoch(train) [76][1240/1879] lr: 1.0000e-02 eta: 1 day, 16:37:59 time: 0.4310 data_time: 0.0202 memory: 17087 grad_norm: 5.1581 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5621 loss: 1.5621 2022/08/04 02:35:12 - mmengine - INFO - Epoch(train) [76][1260/1879] lr: 1.0000e-02 eta: 1 day, 16:37:52 time: 0.4540 data_time: 0.0147 memory: 17087 grad_norm: 5.2124 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3804 loss: 1.3804 2022/08/04 02:35:20 - mmengine - INFO - Epoch(train) [76][1280/1879] lr: 1.0000e-02 eta: 1 day, 16:37:43 time: 0.4268 data_time: 0.0161 memory: 17087 grad_norm: 5.4233 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7402 loss: 1.7402 2022/08/04 02:35:29 - mmengine - INFO - Epoch(train) [76][1300/1879] lr: 1.0000e-02 eta: 1 day, 16:37:35 time: 0.4356 data_time: 0.0162 memory: 17087 grad_norm: 5.2177 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6974 loss: 1.6974 2022/08/04 02:35:38 - mmengine - INFO - Epoch(train) [76][1320/1879] lr: 1.0000e-02 eta: 1 day, 16:37:26 time: 0.4268 data_time: 0.0181 memory: 17087 grad_norm: 5.3105 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6661 loss: 1.6661 2022/08/04 02:35:47 - mmengine - INFO - Epoch(train) [76][1340/1879] lr: 1.0000e-02 eta: 1 day, 16:37:18 time: 0.4468 data_time: 0.0131 memory: 17087 grad_norm: 5.2636 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6345 loss: 1.6345 2022/08/04 02:35:55 - mmengine - INFO - Epoch(train) [76][1360/1879] lr: 1.0000e-02 eta: 1 day, 16:37:09 time: 0.4381 data_time: 0.0218 memory: 17087 grad_norm: 5.1216 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6087 loss: 1.6087 2022/08/04 02:36:04 - mmengine - INFO - Epoch(train) [76][1380/1879] lr: 1.0000e-02 eta: 1 day, 16:37:01 time: 0.4254 data_time: 0.0140 memory: 17087 grad_norm: 5.1979 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3282 loss: 1.3282 2022/08/04 02:36:12 - mmengine - INFO - Epoch(train) [76][1400/1879] lr: 1.0000e-02 eta: 1 day, 16:36:52 time: 0.4250 data_time: 0.0155 memory: 17087 grad_norm: 5.3273 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4745 loss: 1.4745 2022/08/04 02:36:22 - mmengine - INFO - Epoch(train) [76][1420/1879] lr: 1.0000e-02 eta: 1 day, 16:36:44 time: 0.4540 data_time: 0.0167 memory: 17087 grad_norm: 5.2223 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5484 loss: 1.5484 2022/08/04 02:36:30 - mmengine - INFO - Epoch(train) [76][1440/1879] lr: 1.0000e-02 eta: 1 day, 16:36:36 time: 0.4354 data_time: 0.0176 memory: 17087 grad_norm: 5.1713 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4781 loss: 1.4781 2022/08/04 02:36:39 - mmengine - INFO - Epoch(train) [76][1460/1879] lr: 1.0000e-02 eta: 1 day, 16:36:28 time: 0.4482 data_time: 0.0152 memory: 17087 grad_norm: 5.2241 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6898 loss: 1.6898 2022/08/04 02:36:48 - mmengine - INFO - Epoch(train) [76][1480/1879] lr: 1.0000e-02 eta: 1 day, 16:36:20 time: 0.4533 data_time: 0.0220 memory: 17087 grad_norm: 5.1375 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5077 loss: 1.5077 2022/08/04 02:36:57 - mmengine - INFO - Epoch(train) [76][1500/1879] lr: 1.0000e-02 eta: 1 day, 16:36:11 time: 0.4251 data_time: 0.0139 memory: 17087 grad_norm: 5.1672 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4296 loss: 1.4296 2022/08/04 02:37:06 - mmengine - INFO - Epoch(train) [76][1520/1879] lr: 1.0000e-02 eta: 1 day, 16:36:03 time: 0.4435 data_time: 0.0157 memory: 17087 grad_norm: 5.3113 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5587 loss: 1.5587 2022/08/04 02:37:15 - mmengine - INFO - Epoch(train) [76][1540/1879] lr: 1.0000e-02 eta: 1 day, 16:35:55 time: 0.4435 data_time: 0.0146 memory: 17087 grad_norm: 4.9847 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5383 loss: 1.5383 2022/08/04 02:37:23 - mmengine - INFO - Epoch(train) [76][1560/1879] lr: 1.0000e-02 eta: 1 day, 16:35:46 time: 0.4288 data_time: 0.0177 memory: 17087 grad_norm: 5.3560 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3323 loss: 1.3323 2022/08/04 02:37:32 - mmengine - INFO - Epoch(train) [76][1580/1879] lr: 1.0000e-02 eta: 1 day, 16:35:38 time: 0.4358 data_time: 0.0143 memory: 17087 grad_norm: 5.2584 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4857 loss: 1.4857 2022/08/04 02:37:40 - mmengine - INFO - Epoch(train) [76][1600/1879] lr: 1.0000e-02 eta: 1 day, 16:35:29 time: 0.4265 data_time: 0.0160 memory: 17087 grad_norm: 5.3191 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5636 loss: 1.5636 2022/08/04 02:37:49 - mmengine - INFO - Epoch(train) [76][1620/1879] lr: 1.0000e-02 eta: 1 day, 16:35:20 time: 0.4331 data_time: 0.0169 memory: 17087 grad_norm: 5.1533 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3123 loss: 1.3123 2022/08/04 02:37:58 - mmengine - INFO - Epoch(train) [76][1640/1879] lr: 1.0000e-02 eta: 1 day, 16:35:12 time: 0.4408 data_time: 0.0168 memory: 17087 grad_norm: 5.2609 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5409 loss: 1.5409 2022/08/04 02:38:07 - mmengine - INFO - Epoch(train) [76][1660/1879] lr: 1.0000e-02 eta: 1 day, 16:35:03 time: 0.4277 data_time: 0.0142 memory: 17087 grad_norm: 5.2433 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6151 loss: 1.6151 2022/08/04 02:38:15 - mmengine - INFO - Epoch(train) [76][1680/1879] lr: 1.0000e-02 eta: 1 day, 16:34:55 time: 0.4299 data_time: 0.0169 memory: 17087 grad_norm: 5.4088 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7066 loss: 1.7066 2022/08/04 02:38:24 - mmengine - INFO - Epoch(train) [76][1700/1879] lr: 1.0000e-02 eta: 1 day, 16:34:46 time: 0.4264 data_time: 0.0134 memory: 17087 grad_norm: 5.4174 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7356 loss: 1.7356 2022/08/04 02:38:32 - mmengine - INFO - Epoch(train) [76][1720/1879] lr: 1.0000e-02 eta: 1 day, 16:34:37 time: 0.4320 data_time: 0.0162 memory: 17087 grad_norm: 5.0611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5049 loss: 1.5049 2022/08/04 02:38:41 - mmengine - INFO - Epoch(train) [76][1740/1879] lr: 1.0000e-02 eta: 1 day, 16:34:28 time: 0.4288 data_time: 0.0173 memory: 17087 grad_norm: 4.9691 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4271 loss: 1.4271 2022/08/04 02:38:50 - mmengine - INFO - Epoch(train) [76][1760/1879] lr: 1.0000e-02 eta: 1 day, 16:34:20 time: 0.4432 data_time: 0.0164 memory: 17087 grad_norm: 5.2089 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5591 loss: 1.5591 2022/08/04 02:38:58 - mmengine - INFO - Epoch(train) [76][1780/1879] lr: 1.0000e-02 eta: 1 day, 16:34:11 time: 0.4278 data_time: 0.0142 memory: 17087 grad_norm: 5.2609 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4718 loss: 1.4718 2022/08/04 02:39:07 - mmengine - INFO - Epoch(train) [76][1800/1879] lr: 1.0000e-02 eta: 1 day, 16:34:04 time: 0.4503 data_time: 0.0169 memory: 17087 grad_norm: 5.1344 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4707 loss: 1.4707 2022/08/04 02:39:16 - mmengine - INFO - Epoch(train) [76][1820/1879] lr: 1.0000e-02 eta: 1 day, 16:33:55 time: 0.4247 data_time: 0.0145 memory: 17087 grad_norm: 5.2360 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6925 loss: 1.6925 2022/08/04 02:39:24 - mmengine - INFO - Epoch(train) [76][1840/1879] lr: 1.0000e-02 eta: 1 day, 16:33:46 time: 0.4287 data_time: 0.0157 memory: 17087 grad_norm: 5.1934 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4854 loss: 1.4854 2022/08/04 02:39:33 - mmengine - INFO - Epoch(train) [76][1860/1879] lr: 1.0000e-02 eta: 1 day, 16:33:37 time: 0.4251 data_time: 0.0145 memory: 17087 grad_norm: 5.0339 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5385 loss: 1.5385 2022/08/04 02:39:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 02:39:41 - mmengine - INFO - Epoch(train) [76][1879/1879] lr: 1.0000e-02 eta: 1 day, 16:33:37 time: 0.4138 data_time: 0.0150 memory: 17087 grad_norm: 5.3821 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.5010 loss: 1.5010 2022/08/04 02:39:41 - mmengine - INFO - Saving checkpoint at 76 epochs 2022/08/04 02:39:55 - mmengine - INFO - Epoch(train) [77][20/1879] lr: 1.0000e-02 eta: 1 day, 16:33:05 time: 0.5176 data_time: 0.0998 memory: 17087 grad_norm: 5.0910 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6452 loss: 1.6452 2022/08/04 02:40:03 - mmengine - INFO - Epoch(train) [77][40/1879] lr: 1.0000e-02 eta: 1 day, 16:32:56 time: 0.4279 data_time: 0.0150 memory: 17087 grad_norm: 5.1464 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3188 loss: 1.3188 2022/08/04 02:40:12 - mmengine - INFO - Epoch(train) [77][60/1879] lr: 1.0000e-02 eta: 1 day, 16:32:47 time: 0.4244 data_time: 0.0137 memory: 17087 grad_norm: 5.1190 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4588 loss: 1.4588 2022/08/04 02:40:20 - mmengine - INFO - Epoch(train) [77][80/1879] lr: 1.0000e-02 eta: 1 day, 16:32:38 time: 0.4303 data_time: 0.0178 memory: 17087 grad_norm: 5.0373 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.3943 loss: 1.3943 2022/08/04 02:40:29 - mmengine - INFO - Epoch(train) [77][100/1879] lr: 1.0000e-02 eta: 1 day, 16:32:29 time: 0.4253 data_time: 0.0136 memory: 17087 grad_norm: 5.1692 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5153 loss: 1.5153 2022/08/04 02:40:38 - mmengine - INFO - Epoch(train) [77][120/1879] lr: 1.0000e-02 eta: 1 day, 16:32:22 time: 0.4553 data_time: 0.0185 memory: 17087 grad_norm: 5.1318 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5989 loss: 1.5989 2022/08/04 02:40:47 - mmengine - INFO - Epoch(train) [77][140/1879] lr: 1.0000e-02 eta: 1 day, 16:32:13 time: 0.4317 data_time: 0.0207 memory: 17087 grad_norm: 5.0724 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4431 loss: 1.4431 2022/08/04 02:40:56 - mmengine - INFO - Epoch(train) [77][160/1879] lr: 1.0000e-02 eta: 1 day, 16:32:06 time: 0.4536 data_time: 0.0164 memory: 17087 grad_norm: 5.1836 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6327 loss: 1.6327 2022/08/04 02:41:04 - mmengine - INFO - Epoch(train) [77][180/1879] lr: 1.0000e-02 eta: 1 day, 16:31:57 time: 0.4252 data_time: 0.0141 memory: 17087 grad_norm: 5.1941 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4976 loss: 1.4976 2022/08/04 02:41:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 02:41:13 - mmengine - INFO - Epoch(train) [77][200/1879] lr: 1.0000e-02 eta: 1 day, 16:31:48 time: 0.4306 data_time: 0.0215 memory: 17087 grad_norm: 5.3914 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4661 loss: 1.4661 2022/08/04 02:41:22 - mmengine - INFO - Epoch(train) [77][220/1879] lr: 1.0000e-02 eta: 1 day, 16:31:41 time: 0.4571 data_time: 0.0144 memory: 17087 grad_norm: 5.2981 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3338 loss: 1.3338 2022/08/04 02:41:31 - mmengine - INFO - Epoch(train) [77][240/1879] lr: 1.0000e-02 eta: 1 day, 16:31:32 time: 0.4271 data_time: 0.0156 memory: 17087 grad_norm: 5.1671 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3776 loss: 1.3776 2022/08/04 02:41:39 - mmengine - INFO - Epoch(train) [77][260/1879] lr: 1.0000e-02 eta: 1 day, 16:31:23 time: 0.4394 data_time: 0.0172 memory: 17087 grad_norm: 5.3057 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6014 loss: 1.6014 2022/08/04 02:41:48 - mmengine - INFO - Epoch(train) [77][280/1879] lr: 1.0000e-02 eta: 1 day, 16:31:15 time: 0.4280 data_time: 0.0180 memory: 17087 grad_norm: 5.0041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4752 loss: 1.4752 2022/08/04 02:41:57 - mmengine - INFO - Epoch(train) [77][300/1879] lr: 1.0000e-02 eta: 1 day, 16:31:06 time: 0.4309 data_time: 0.0139 memory: 17087 grad_norm: 5.2272 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5886 loss: 1.5886 2022/08/04 02:42:05 - mmengine - INFO - Epoch(train) [77][320/1879] lr: 1.0000e-02 eta: 1 day, 16:30:57 time: 0.4269 data_time: 0.0151 memory: 17087 grad_norm: 5.2027 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7093 loss: 1.7093 2022/08/04 02:42:14 - mmengine - INFO - Epoch(train) [77][340/1879] lr: 1.0000e-02 eta: 1 day, 16:30:48 time: 0.4259 data_time: 0.0154 memory: 17087 grad_norm: 5.0732 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4252 loss: 1.4252 2022/08/04 02:42:22 - mmengine - INFO - Epoch(train) [77][360/1879] lr: 1.0000e-02 eta: 1 day, 16:30:40 time: 0.4326 data_time: 0.0170 memory: 17087 grad_norm: 5.1689 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4675 loss: 1.4675 2022/08/04 02:42:31 - mmengine - INFO - Epoch(train) [77][380/1879] lr: 1.0000e-02 eta: 1 day, 16:30:31 time: 0.4250 data_time: 0.0155 memory: 17087 grad_norm: 5.2677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4216 loss: 1.4216 2022/08/04 02:42:40 - mmengine - INFO - Epoch(train) [77][400/1879] lr: 1.0000e-02 eta: 1 day, 16:30:23 time: 0.4626 data_time: 0.0180 memory: 17087 grad_norm: 5.2196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4750 loss: 1.4750 2022/08/04 02:42:49 - mmengine - INFO - Epoch(train) [77][420/1879] lr: 1.0000e-02 eta: 1 day, 16:30:15 time: 0.4261 data_time: 0.0145 memory: 17087 grad_norm: 5.2195 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5510 loss: 1.5510 2022/08/04 02:42:58 - mmengine - INFO - Epoch(train) [77][440/1879] lr: 1.0000e-02 eta: 1 day, 16:30:07 time: 0.4557 data_time: 0.0233 memory: 17087 grad_norm: 5.1817 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.5894 loss: 1.5894 2022/08/04 02:43:07 - mmengine - INFO - Epoch(train) [77][460/1879] lr: 1.0000e-02 eta: 1 day, 16:29:59 time: 0.4489 data_time: 0.0141 memory: 17087 grad_norm: 5.2608 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6591 loss: 1.6591 2022/08/04 02:43:15 - mmengine - INFO - Epoch(train) [77][480/1879] lr: 1.0000e-02 eta: 1 day, 16:29:50 time: 0.4280 data_time: 0.0154 memory: 17087 grad_norm: 5.1610 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4826 loss: 1.4826 2022/08/04 02:43:24 - mmengine - INFO - Epoch(train) [77][500/1879] lr: 1.0000e-02 eta: 1 day, 16:29:42 time: 0.4254 data_time: 0.0146 memory: 17087 grad_norm: 5.1054 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5137 loss: 1.5137 2022/08/04 02:43:32 - mmengine - INFO - Epoch(train) [77][520/1879] lr: 1.0000e-02 eta: 1 day, 16:29:33 time: 0.4271 data_time: 0.0162 memory: 17087 grad_norm: 5.1218 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7588 loss: 1.7588 2022/08/04 02:43:41 - mmengine - INFO - Epoch(train) [77][540/1879] lr: 1.0000e-02 eta: 1 day, 16:29:24 time: 0.4279 data_time: 0.0147 memory: 17087 grad_norm: 5.0835 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4801 loss: 1.4801 2022/08/04 02:43:50 - mmengine - INFO - Epoch(train) [77][560/1879] lr: 1.0000e-02 eta: 1 day, 16:29:15 time: 0.4340 data_time: 0.0169 memory: 17087 grad_norm: 5.1012 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7124 loss: 1.7124 2022/08/04 02:43:58 - mmengine - INFO - Epoch(train) [77][580/1879] lr: 1.0000e-02 eta: 1 day, 16:29:07 time: 0.4272 data_time: 0.0150 memory: 17087 grad_norm: 5.2255 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5005 loss: 1.5005 2022/08/04 02:44:07 - mmengine - INFO - Epoch(train) [77][600/1879] lr: 1.0000e-02 eta: 1 day, 16:28:58 time: 0.4306 data_time: 0.0184 memory: 17087 grad_norm: 5.2183 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5958 loss: 1.5958 2022/08/04 02:44:15 - mmengine - INFO - Epoch(train) [77][620/1879] lr: 1.0000e-02 eta: 1 day, 16:28:49 time: 0.4229 data_time: 0.0137 memory: 17087 grad_norm: 5.1503 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.6145 loss: 1.6145 2022/08/04 02:44:24 - mmengine - INFO - Epoch(train) [77][640/1879] lr: 1.0000e-02 eta: 1 day, 16:28:40 time: 0.4267 data_time: 0.0155 memory: 17087 grad_norm: 5.0687 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2831 loss: 1.2831 2022/08/04 02:44:33 - mmengine - INFO - Epoch(train) [77][660/1879] lr: 1.0000e-02 eta: 1 day, 16:28:32 time: 0.4427 data_time: 0.0150 memory: 17087 grad_norm: 5.3683 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7457 loss: 1.7457 2022/08/04 02:44:41 - mmengine - INFO - Epoch(train) [77][680/1879] lr: 1.0000e-02 eta: 1 day, 16:28:23 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 5.2867 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4676 loss: 1.4676 2022/08/04 02:44:51 - mmengine - INFO - Epoch(train) [77][700/1879] lr: 1.0000e-02 eta: 1 day, 16:28:16 time: 0.4607 data_time: 0.0139 memory: 17087 grad_norm: 5.1326 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5293 loss: 1.5293 2022/08/04 02:44:59 - mmengine - INFO - Epoch(train) [77][720/1879] lr: 1.0000e-02 eta: 1 day, 16:28:07 time: 0.4337 data_time: 0.0233 memory: 17087 grad_norm: 5.2116 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6419 loss: 1.6419 2022/08/04 02:45:08 - mmengine - INFO - Epoch(train) [77][740/1879] lr: 1.0000e-02 eta: 1 day, 16:27:58 time: 0.4288 data_time: 0.0146 memory: 17087 grad_norm: 5.1853 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6349 loss: 1.6349 2022/08/04 02:45:17 - mmengine - INFO - Epoch(train) [77][760/1879] lr: 1.0000e-02 eta: 1 day, 16:27:50 time: 0.4362 data_time: 0.0173 memory: 17087 grad_norm: 5.1891 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5823 loss: 1.5823 2022/08/04 02:45:25 - mmengine - INFO - Epoch(train) [77][780/1879] lr: 1.0000e-02 eta: 1 day, 16:27:41 time: 0.4274 data_time: 0.0146 memory: 17087 grad_norm: 5.3034 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3879 loss: 1.3879 2022/08/04 02:45:34 - mmengine - INFO - Epoch(train) [77][800/1879] lr: 1.0000e-02 eta: 1 day, 16:27:32 time: 0.4276 data_time: 0.0164 memory: 17087 grad_norm: 5.0673 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5293 loss: 1.5293 2022/08/04 02:45:42 - mmengine - INFO - Epoch(train) [77][820/1879] lr: 1.0000e-02 eta: 1 day, 16:27:24 time: 0.4301 data_time: 0.0178 memory: 17087 grad_norm: 5.1879 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3474 loss: 1.3474 2022/08/04 02:45:51 - mmengine - INFO - Epoch(train) [77][840/1879] lr: 1.0000e-02 eta: 1 day, 16:27:15 time: 0.4326 data_time: 0.0237 memory: 17087 grad_norm: 5.2540 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3835 loss: 1.3835 2022/08/04 02:45:59 - mmengine - INFO - Epoch(train) [77][860/1879] lr: 1.0000e-02 eta: 1 day, 16:27:06 time: 0.4260 data_time: 0.0138 memory: 17087 grad_norm: 5.2373 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4468 loss: 1.4468 2022/08/04 02:46:08 - mmengine - INFO - Epoch(train) [77][880/1879] lr: 1.0000e-02 eta: 1 day, 16:26:57 time: 0.4272 data_time: 0.0165 memory: 17087 grad_norm: 5.3734 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4308 loss: 1.4308 2022/08/04 02:46:17 - mmengine - INFO - Epoch(train) [77][900/1879] lr: 1.0000e-02 eta: 1 day, 16:26:48 time: 0.4280 data_time: 0.0161 memory: 17087 grad_norm: 5.1066 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6664 loss: 1.6664 2022/08/04 02:46:25 - mmengine - INFO - Epoch(train) [77][920/1879] lr: 1.0000e-02 eta: 1 day, 16:26:40 time: 0.4285 data_time: 0.0160 memory: 17087 grad_norm: 5.2491 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6105 loss: 1.6105 2022/08/04 02:46:34 - mmengine - INFO - Epoch(train) [77][940/1879] lr: 1.0000e-02 eta: 1 day, 16:26:31 time: 0.4237 data_time: 0.0131 memory: 17087 grad_norm: 5.1403 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5142 loss: 1.5142 2022/08/04 02:46:43 - mmengine - INFO - Epoch(train) [77][960/1879] lr: 1.0000e-02 eta: 1 day, 16:26:23 time: 0.4448 data_time: 0.0162 memory: 17087 grad_norm: 5.2745 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4215 loss: 1.4215 2022/08/04 02:46:51 - mmengine - INFO - Epoch(train) [77][980/1879] lr: 1.0000e-02 eta: 1 day, 16:26:14 time: 0.4254 data_time: 0.0132 memory: 17087 grad_norm: 5.1086 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5758 loss: 1.5758 2022/08/04 02:47:00 - mmengine - INFO - Epoch(train) [77][1000/1879] lr: 1.0000e-02 eta: 1 day, 16:26:05 time: 0.4285 data_time: 0.0170 memory: 17087 grad_norm: 5.1438 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5140 loss: 1.5140 2022/08/04 02:47:09 - mmengine - INFO - Epoch(train) [77][1020/1879] lr: 1.0000e-02 eta: 1 day, 16:25:57 time: 0.4427 data_time: 0.0171 memory: 17087 grad_norm: 5.0360 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7268 loss: 1.7268 2022/08/04 02:47:17 - mmengine - INFO - Epoch(train) [77][1040/1879] lr: 1.0000e-02 eta: 1 day, 16:25:48 time: 0.4270 data_time: 0.0157 memory: 17087 grad_norm: 5.3266 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5989 loss: 1.5989 2022/08/04 02:47:26 - mmengine - INFO - Epoch(train) [77][1060/1879] lr: 1.0000e-02 eta: 1 day, 16:25:39 time: 0.4347 data_time: 0.0158 memory: 17087 grad_norm: 5.3034 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6483 loss: 1.6483 2022/08/04 02:47:34 - mmengine - INFO - Epoch(train) [77][1080/1879] lr: 1.0000e-02 eta: 1 day, 16:25:31 time: 0.4260 data_time: 0.0153 memory: 17087 grad_norm: 5.1201 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4278 loss: 1.4278 2022/08/04 02:47:43 - mmengine - INFO - Epoch(train) [77][1100/1879] lr: 1.0000e-02 eta: 1 day, 16:25:22 time: 0.4252 data_time: 0.0160 memory: 17087 grad_norm: 5.3547 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6908 loss: 1.6908 2022/08/04 02:47:51 - mmengine - INFO - Epoch(train) [77][1120/1879] lr: 1.0000e-02 eta: 1 day, 16:25:13 time: 0.4300 data_time: 0.0162 memory: 17087 grad_norm: 5.2159 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5678 loss: 1.5678 2022/08/04 02:48:00 - mmengine - INFO - Epoch(train) [77][1140/1879] lr: 1.0000e-02 eta: 1 day, 16:25:04 time: 0.4260 data_time: 0.0154 memory: 17087 grad_norm: 5.1517 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5622 loss: 1.5622 2022/08/04 02:48:09 - mmengine - INFO - Epoch(train) [77][1160/1879] lr: 1.0000e-02 eta: 1 day, 16:24:56 time: 0.4443 data_time: 0.0168 memory: 17087 grad_norm: 5.2107 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5037 loss: 1.5037 2022/08/04 02:48:17 - mmengine - INFO - Epoch(train) [77][1180/1879] lr: 1.0000e-02 eta: 1 day, 16:24:47 time: 0.4250 data_time: 0.0146 memory: 17087 grad_norm: 5.3059 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5100 loss: 1.5100 2022/08/04 02:48:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 02:48:26 - mmengine - INFO - Epoch(train) [77][1200/1879] lr: 1.0000e-02 eta: 1 day, 16:24:38 time: 0.4301 data_time: 0.0174 memory: 17087 grad_norm: 5.2190 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5649 loss: 1.5649 2022/08/04 02:48:34 - mmengine - INFO - Epoch(train) [77][1220/1879] lr: 1.0000e-02 eta: 1 day, 16:24:29 time: 0.4239 data_time: 0.0135 memory: 17087 grad_norm: 5.2481 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6747 loss: 1.6747 2022/08/04 02:48:43 - mmengine - INFO - Epoch(train) [77][1240/1879] lr: 1.0000e-02 eta: 1 day, 16:24:21 time: 0.4288 data_time: 0.0156 memory: 17087 grad_norm: 5.2135 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4803 loss: 1.4803 2022/08/04 02:48:52 - mmengine - INFO - Epoch(train) [77][1260/1879] lr: 1.0000e-02 eta: 1 day, 16:24:13 time: 0.4474 data_time: 0.0155 memory: 17087 grad_norm: 5.1989 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5264 loss: 1.5264 2022/08/04 02:49:01 - mmengine - INFO - Epoch(train) [77][1280/1879] lr: 1.0000e-02 eta: 1 day, 16:24:04 time: 0.4335 data_time: 0.0211 memory: 17087 grad_norm: 5.1425 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6122 loss: 1.6122 2022/08/04 02:49:09 - mmengine - INFO - Epoch(train) [77][1300/1879] lr: 1.0000e-02 eta: 1 day, 16:23:55 time: 0.4268 data_time: 0.0151 memory: 17087 grad_norm: 5.1340 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5307 loss: 1.5307 2022/08/04 02:49:18 - mmengine - INFO - Epoch(train) [77][1320/1879] lr: 1.0000e-02 eta: 1 day, 16:23:48 time: 0.4565 data_time: 0.0158 memory: 17087 grad_norm: 5.1817 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5542 loss: 1.5542 2022/08/04 02:49:27 - mmengine - INFO - Epoch(train) [77][1340/1879] lr: 1.0000e-02 eta: 1 day, 16:23:39 time: 0.4259 data_time: 0.0139 memory: 17087 grad_norm: 4.9997 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5405 loss: 1.5405 2022/08/04 02:49:36 - mmengine - INFO - Epoch(train) [77][1360/1879] lr: 1.0000e-02 eta: 1 day, 16:23:32 time: 0.4718 data_time: 0.0175 memory: 17087 grad_norm: 5.2986 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.7685 loss: 1.7685 2022/08/04 02:49:45 - mmengine - INFO - Epoch(train) [77][1380/1879] lr: 1.0000e-02 eta: 1 day, 16:23:23 time: 0.4251 data_time: 0.0151 memory: 17087 grad_norm: 5.3011 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7836 loss: 1.7836 2022/08/04 02:49:53 - mmengine - INFO - Epoch(train) [77][1400/1879] lr: 1.0000e-02 eta: 1 day, 16:23:14 time: 0.4262 data_time: 0.0146 memory: 17087 grad_norm: 5.1984 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5758 loss: 1.5758 2022/08/04 02:50:02 - mmengine - INFO - Epoch(train) [77][1420/1879] lr: 1.0000e-02 eta: 1 day, 16:23:06 time: 0.4345 data_time: 0.0164 memory: 17087 grad_norm: 5.2118 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6096 loss: 1.6096 2022/08/04 02:50:11 - mmengine - INFO - Epoch(train) [77][1440/1879] lr: 1.0000e-02 eta: 1 day, 16:22:57 time: 0.4380 data_time: 0.0162 memory: 17087 grad_norm: 5.1838 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3788 loss: 1.3788 2022/08/04 02:50:20 - mmengine - INFO - Epoch(train) [77][1460/1879] lr: 1.0000e-02 eta: 1 day, 16:22:50 time: 0.4532 data_time: 0.0165 memory: 17087 grad_norm: 4.9582 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4575 loss: 1.4575 2022/08/04 02:50:29 - mmengine - INFO - Epoch(train) [77][1480/1879] lr: 1.0000e-02 eta: 1 day, 16:22:41 time: 0.4284 data_time: 0.0154 memory: 17087 grad_norm: 5.2732 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6376 loss: 1.6376 2022/08/04 02:50:37 - mmengine - INFO - Epoch(train) [77][1500/1879] lr: 1.0000e-02 eta: 1 day, 16:22:33 time: 0.4351 data_time: 0.0209 memory: 17087 grad_norm: 5.2298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5367 loss: 1.5367 2022/08/04 02:50:46 - mmengine - INFO - Epoch(train) [77][1520/1879] lr: 1.0000e-02 eta: 1 day, 16:22:24 time: 0.4289 data_time: 0.0145 memory: 17087 grad_norm: 5.1379 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.6380 loss: 1.6380 2022/08/04 02:50:54 - mmengine - INFO - Epoch(train) [77][1540/1879] lr: 1.0000e-02 eta: 1 day, 16:22:15 time: 0.4259 data_time: 0.0143 memory: 17087 grad_norm: 5.0880 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3914 loss: 1.3914 2022/08/04 02:51:03 - mmengine - INFO - Epoch(train) [77][1560/1879] lr: 1.0000e-02 eta: 1 day, 16:22:07 time: 0.4508 data_time: 0.0162 memory: 17087 grad_norm: 5.1425 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6254 loss: 1.6254 2022/08/04 02:51:12 - mmengine - INFO - Epoch(train) [77][1580/1879] lr: 1.0000e-02 eta: 1 day, 16:21:59 time: 0.4478 data_time: 0.0205 memory: 17087 grad_norm: 5.1158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7560 loss: 1.7560 2022/08/04 02:51:21 - mmengine - INFO - Epoch(train) [77][1600/1879] lr: 1.0000e-02 eta: 1 day, 16:21:51 time: 0.4286 data_time: 0.0158 memory: 17087 grad_norm: 5.3171 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6553 loss: 1.6553 2022/08/04 02:51:30 - mmengine - INFO - Epoch(train) [77][1620/1879] lr: 1.0000e-02 eta: 1 day, 16:21:42 time: 0.4424 data_time: 0.0149 memory: 17087 grad_norm: 5.1418 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4169 loss: 1.4169 2022/08/04 02:51:38 - mmengine - INFO - Epoch(train) [77][1640/1879] lr: 1.0000e-02 eta: 1 day, 16:21:34 time: 0.4290 data_time: 0.0166 memory: 17087 grad_norm: 5.3861 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7047 loss: 1.7047 2022/08/04 02:51:47 - mmengine - INFO - Epoch(train) [77][1660/1879] lr: 1.0000e-02 eta: 1 day, 16:21:25 time: 0.4386 data_time: 0.0153 memory: 17087 grad_norm: 5.1030 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5560 loss: 1.5560 2022/08/04 02:51:56 - mmengine - INFO - Epoch(train) [77][1680/1879] lr: 1.0000e-02 eta: 1 day, 16:21:17 time: 0.4339 data_time: 0.0164 memory: 17087 grad_norm: 5.1044 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4155 loss: 1.4155 2022/08/04 02:52:04 - mmengine - INFO - Epoch(train) [77][1700/1879] lr: 1.0000e-02 eta: 1 day, 16:21:08 time: 0.4277 data_time: 0.0153 memory: 17087 grad_norm: 5.2950 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5372 loss: 1.5372 2022/08/04 02:52:13 - mmengine - INFO - Epoch(train) [77][1720/1879] lr: 1.0000e-02 eta: 1 day, 16:21:00 time: 0.4446 data_time: 0.0159 memory: 17087 grad_norm: 5.2177 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4823 loss: 1.4823 2022/08/04 02:52:22 - mmengine - INFO - Epoch(train) [77][1740/1879] lr: 1.0000e-02 eta: 1 day, 16:20:51 time: 0.4273 data_time: 0.0148 memory: 17087 grad_norm: 5.2827 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.7841 loss: 1.7841 2022/08/04 02:52:31 - mmengine - INFO - Epoch(train) [77][1760/1879] lr: 1.0000e-02 eta: 1 day, 16:20:43 time: 0.4444 data_time: 0.0169 memory: 17087 grad_norm: 5.1135 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4694 loss: 1.4694 2022/08/04 02:52:39 - mmengine - INFO - Epoch(train) [77][1780/1879] lr: 1.0000e-02 eta: 1 day, 16:20:35 time: 0.4341 data_time: 0.0164 memory: 17087 grad_norm: 5.1926 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4625 loss: 1.4625 2022/08/04 02:52:48 - mmengine - INFO - Epoch(train) [77][1800/1879] lr: 1.0000e-02 eta: 1 day, 16:20:26 time: 0.4290 data_time: 0.0171 memory: 17087 grad_norm: 5.2442 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3581 loss: 1.3581 2022/08/04 02:52:57 - mmengine - INFO - Epoch(train) [77][1820/1879] lr: 1.0000e-02 eta: 1 day, 16:20:17 time: 0.4292 data_time: 0.0143 memory: 17087 grad_norm: 5.1929 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5286 loss: 1.5286 2022/08/04 02:53:05 - mmengine - INFO - Epoch(train) [77][1840/1879] lr: 1.0000e-02 eta: 1 day, 16:20:08 time: 0.4285 data_time: 0.0167 memory: 17087 grad_norm: 5.0775 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.5428 loss: 1.5428 2022/08/04 02:53:14 - mmengine - INFO - Epoch(train) [77][1860/1879] lr: 1.0000e-02 eta: 1 day, 16:19:59 time: 0.4266 data_time: 0.0147 memory: 17087 grad_norm: 5.0935 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4277 loss: 1.4277 2022/08/04 02:53:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 02:53:22 - mmengine - INFO - Epoch(train) [77][1879/1879] lr: 1.0000e-02 eta: 1 day, 16:19:59 time: 0.4112 data_time: 0.0160 memory: 17087 grad_norm: 5.3114 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.5956 loss: 1.5956 2022/08/04 02:53:33 - mmengine - INFO - Epoch(train) [78][20/1879] lr: 1.0000e-02 eta: 1 day, 16:19:29 time: 0.5472 data_time: 0.1106 memory: 17087 grad_norm: 4.9351 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3061 loss: 1.3061 2022/08/04 02:53:41 - mmengine - INFO - Epoch(train) [78][40/1879] lr: 1.0000e-02 eta: 1 day, 16:19:20 time: 0.4314 data_time: 0.0161 memory: 17087 grad_norm: 5.1456 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5180 loss: 1.5180 2022/08/04 02:53:50 - mmengine - INFO - Epoch(train) [78][60/1879] lr: 1.0000e-02 eta: 1 day, 16:19:11 time: 0.4268 data_time: 0.0149 memory: 17087 grad_norm: 5.1488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4855 loss: 1.4855 2022/08/04 02:53:58 - mmengine - INFO - Epoch(train) [78][80/1879] lr: 1.0000e-02 eta: 1 day, 16:19:03 time: 0.4341 data_time: 0.0159 memory: 17087 grad_norm: 5.1106 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3551 loss: 1.3551 2022/08/04 02:54:07 - mmengine - INFO - Epoch(train) [78][100/1879] lr: 1.0000e-02 eta: 1 day, 16:18:54 time: 0.4268 data_time: 0.0156 memory: 17087 grad_norm: 5.2130 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5225 loss: 1.5225 2022/08/04 02:54:16 - mmengine - INFO - Epoch(train) [78][120/1879] lr: 1.0000e-02 eta: 1 day, 16:18:45 time: 0.4337 data_time: 0.0159 memory: 17087 grad_norm: 5.1757 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5304 loss: 1.5304 2022/08/04 02:54:25 - mmengine - INFO - Epoch(train) [78][140/1879] lr: 1.0000e-02 eta: 1 day, 16:18:38 time: 0.4546 data_time: 0.0163 memory: 17087 grad_norm: 5.2276 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6596 loss: 1.6596 2022/08/04 02:54:33 - mmengine - INFO - Epoch(train) [78][160/1879] lr: 1.0000e-02 eta: 1 day, 16:18:29 time: 0.4266 data_time: 0.0151 memory: 17087 grad_norm: 5.1280 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6025 loss: 1.6025 2022/08/04 02:54:42 - mmengine - INFO - Epoch(train) [78][180/1879] lr: 1.0000e-02 eta: 1 day, 16:18:21 time: 0.4460 data_time: 0.0193 memory: 17087 grad_norm: 5.3657 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5382 loss: 1.5382 2022/08/04 02:54:51 - mmengine - INFO - Epoch(train) [78][200/1879] lr: 1.0000e-02 eta: 1 day, 16:18:12 time: 0.4269 data_time: 0.0163 memory: 17087 grad_norm: 5.2600 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5669 loss: 1.5669 2022/08/04 02:55:00 - mmengine - INFO - Epoch(train) [78][220/1879] lr: 1.0000e-02 eta: 1 day, 16:18:05 time: 0.4600 data_time: 0.0157 memory: 17087 grad_norm: 4.9374 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4462 loss: 1.4462 2022/08/04 02:55:09 - mmengine - INFO - Epoch(train) [78][240/1879] lr: 1.0000e-02 eta: 1 day, 16:17:56 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 4.9796 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4214 loss: 1.4214 2022/08/04 02:55:17 - mmengine - INFO - Epoch(train) [78][260/1879] lr: 1.0000e-02 eta: 1 day, 16:17:48 time: 0.4409 data_time: 0.0182 memory: 17087 grad_norm: 5.0718 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5694 loss: 1.5694 2022/08/04 02:55:26 - mmengine - INFO - Epoch(train) [78][280/1879] lr: 1.0000e-02 eta: 1 day, 16:17:39 time: 0.4310 data_time: 0.0187 memory: 17087 grad_norm: 5.2241 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4486 loss: 1.4486 2022/08/04 02:55:35 - mmengine - INFO - Epoch(train) [78][300/1879] lr: 1.0000e-02 eta: 1 day, 16:17:30 time: 0.4250 data_time: 0.0137 memory: 17087 grad_norm: 5.2136 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4627 loss: 1.4627 2022/08/04 02:55:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 02:55:43 - mmengine - INFO - Epoch(train) [78][320/1879] lr: 1.0000e-02 eta: 1 day, 16:17:22 time: 0.4376 data_time: 0.0168 memory: 17087 grad_norm: 5.1764 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6237 loss: 1.6237 2022/08/04 02:55:52 - mmengine - INFO - Epoch(train) [78][340/1879] lr: 1.0000e-02 eta: 1 day, 16:17:13 time: 0.4260 data_time: 0.0160 memory: 17087 grad_norm: 5.0733 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3687 loss: 1.3687 2022/08/04 02:56:01 - mmengine - INFO - Epoch(train) [78][360/1879] lr: 1.0000e-02 eta: 1 day, 16:17:05 time: 0.4496 data_time: 0.0190 memory: 17087 grad_norm: 5.2095 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5619 loss: 1.5619 2022/08/04 02:56:09 - mmengine - INFO - Epoch(train) [78][380/1879] lr: 1.0000e-02 eta: 1 day, 16:16:56 time: 0.4259 data_time: 0.0145 memory: 17087 grad_norm: 5.2325 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6449 loss: 1.6449 2022/08/04 02:56:18 - mmengine - INFO - Epoch(train) [78][400/1879] lr: 1.0000e-02 eta: 1 day, 16:16:48 time: 0.4315 data_time: 0.0164 memory: 17087 grad_norm: 5.1139 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5486 loss: 1.5486 2022/08/04 02:56:27 - mmengine - INFO - Epoch(train) [78][420/1879] lr: 1.0000e-02 eta: 1 day, 16:16:39 time: 0.4244 data_time: 0.0156 memory: 17087 grad_norm: 5.2162 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7205 loss: 1.7205 2022/08/04 02:56:35 - mmengine - INFO - Epoch(train) [78][440/1879] lr: 1.0000e-02 eta: 1 day, 16:16:30 time: 0.4254 data_time: 0.0168 memory: 17087 grad_norm: 4.9914 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3854 loss: 1.3854 2022/08/04 02:56:44 - mmengine - INFO - Epoch(train) [78][460/1879] lr: 1.0000e-02 eta: 1 day, 16:16:23 time: 0.4689 data_time: 0.0167 memory: 17087 grad_norm: 5.2639 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6154 loss: 1.6154 2022/08/04 02:56:53 - mmengine - INFO - Epoch(train) [78][480/1879] lr: 1.0000e-02 eta: 1 day, 16:16:14 time: 0.4334 data_time: 0.0193 memory: 17087 grad_norm: 5.2372 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5845 loss: 1.5845 2022/08/04 02:57:02 - mmengine - INFO - Epoch(train) [78][500/1879] lr: 1.0000e-02 eta: 1 day, 16:16:06 time: 0.4264 data_time: 0.0140 memory: 17087 grad_norm: 5.2615 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5483 loss: 1.5483 2022/08/04 02:57:11 - mmengine - INFO - Epoch(train) [78][520/1879] lr: 1.0000e-02 eta: 1 day, 16:15:58 time: 0.4498 data_time: 0.0198 memory: 17087 grad_norm: 5.1322 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3312 loss: 1.3312 2022/08/04 02:57:19 - mmengine - INFO - Epoch(train) [78][540/1879] lr: 1.0000e-02 eta: 1 day, 16:15:49 time: 0.4270 data_time: 0.0149 memory: 17087 grad_norm: 5.2760 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4413 loss: 1.4413 2022/08/04 02:57:28 - mmengine - INFO - Epoch(train) [78][560/1879] lr: 1.0000e-02 eta: 1 day, 16:15:41 time: 0.4552 data_time: 0.0155 memory: 17087 grad_norm: 5.3367 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5450 loss: 1.5450 2022/08/04 02:57:37 - mmengine - INFO - Epoch(train) [78][580/1879] lr: 1.0000e-02 eta: 1 day, 16:15:33 time: 0.4311 data_time: 0.0193 memory: 17087 grad_norm: 5.2681 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4306 loss: 1.4306 2022/08/04 02:57:46 - mmengine - INFO - Epoch(train) [78][600/1879] lr: 1.0000e-02 eta: 1 day, 16:15:24 time: 0.4303 data_time: 0.0183 memory: 17087 grad_norm: 5.2223 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5164 loss: 1.5164 2022/08/04 02:57:54 - mmengine - INFO - Epoch(train) [78][620/1879] lr: 1.0000e-02 eta: 1 day, 16:15:15 time: 0.4280 data_time: 0.0154 memory: 17087 grad_norm: 5.1406 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5345 loss: 1.5345 2022/08/04 02:58:03 - mmengine - INFO - Epoch(train) [78][640/1879] lr: 1.0000e-02 eta: 1 day, 16:15:08 time: 0.4626 data_time: 0.0172 memory: 17087 grad_norm: 5.0608 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4286 loss: 1.4286 2022/08/04 02:58:12 - mmengine - INFO - Epoch(train) [78][660/1879] lr: 1.0000e-02 eta: 1 day, 16:14:59 time: 0.4282 data_time: 0.0174 memory: 17087 grad_norm: 5.3130 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6156 loss: 1.6156 2022/08/04 02:58:21 - mmengine - INFO - Epoch(train) [78][680/1879] lr: 1.0000e-02 eta: 1 day, 16:14:52 time: 0.4515 data_time: 0.0179 memory: 17087 grad_norm: 5.1237 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5955 loss: 1.5955 2022/08/04 02:58:30 - mmengine - INFO - Epoch(train) [78][700/1879] lr: 1.0000e-02 eta: 1 day, 16:14:43 time: 0.4269 data_time: 0.0159 memory: 17087 grad_norm: 5.0866 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3885 loss: 1.3885 2022/08/04 02:58:38 - mmengine - INFO - Epoch(train) [78][720/1879] lr: 1.0000e-02 eta: 1 day, 16:14:35 time: 0.4441 data_time: 0.0184 memory: 17087 grad_norm: 5.2063 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5622 loss: 1.5622 2022/08/04 02:58:47 - mmengine - INFO - Epoch(train) [78][740/1879] lr: 1.0000e-02 eta: 1 day, 16:14:26 time: 0.4257 data_time: 0.0140 memory: 17087 grad_norm: 5.1362 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4155 loss: 1.4155 2022/08/04 02:58:56 - mmengine - INFO - Epoch(train) [78][760/1879] lr: 1.0000e-02 eta: 1 day, 16:14:17 time: 0.4254 data_time: 0.0148 memory: 17087 grad_norm: 5.3319 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.3498 loss: 1.3498 2022/08/04 02:59:05 - mmengine - INFO - Epoch(train) [78][780/1879] lr: 1.0000e-02 eta: 1 day, 16:14:10 time: 0.4648 data_time: 0.0148 memory: 17087 grad_norm: 5.2476 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5662 loss: 1.5662 2022/08/04 02:59:13 - mmengine - INFO - Epoch(train) [78][800/1879] lr: 1.0000e-02 eta: 1 day, 16:14:01 time: 0.4275 data_time: 0.0154 memory: 17087 grad_norm: 5.3067 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5197 loss: 1.5197 2022/08/04 02:59:22 - mmengine - INFO - Epoch(train) [78][820/1879] lr: 1.0000e-02 eta: 1 day, 16:13:52 time: 0.4301 data_time: 0.0134 memory: 17087 grad_norm: 5.2804 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4692 loss: 1.4692 2022/08/04 02:59:31 - mmengine - INFO - Epoch(train) [78][840/1879] lr: 1.0000e-02 eta: 1 day, 16:13:44 time: 0.4322 data_time: 0.0175 memory: 17087 grad_norm: 5.2434 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5602 loss: 1.5602 2022/08/04 02:59:39 - mmengine - INFO - Epoch(train) [78][860/1879] lr: 1.0000e-02 eta: 1 day, 16:13:35 time: 0.4267 data_time: 0.0143 memory: 17087 grad_norm: 5.0086 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2629 loss: 1.2629 2022/08/04 02:59:48 - mmengine - INFO - Epoch(train) [78][880/1879] lr: 1.0000e-02 eta: 1 day, 16:13:27 time: 0.4536 data_time: 0.0169 memory: 17087 grad_norm: 5.1087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4567 loss: 1.4567 2022/08/04 02:59:57 - mmengine - INFO - Epoch(train) [78][900/1879] lr: 1.0000e-02 eta: 1 day, 16:13:18 time: 0.4281 data_time: 0.0171 memory: 17087 grad_norm: 5.0102 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5102 loss: 1.5102 2022/08/04 03:00:05 - mmengine - INFO - Epoch(train) [78][920/1879] lr: 1.0000e-02 eta: 1 day, 16:13:09 time: 0.4292 data_time: 0.0177 memory: 17087 grad_norm: 5.1364 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5205 loss: 1.5205 2022/08/04 03:00:14 - mmengine - INFO - Epoch(train) [78][940/1879] lr: 1.0000e-02 eta: 1 day, 16:13:01 time: 0.4259 data_time: 0.0138 memory: 17087 grad_norm: 5.1361 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4753 loss: 1.4753 2022/08/04 03:00:23 - mmengine - INFO - Epoch(train) [78][960/1879] lr: 1.0000e-02 eta: 1 day, 16:12:53 time: 0.4538 data_time: 0.0154 memory: 17087 grad_norm: 5.2944 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4309 loss: 1.4309 2022/08/04 03:00:32 - mmengine - INFO - Epoch(train) [78][980/1879] lr: 1.0000e-02 eta: 1 day, 16:12:44 time: 0.4294 data_time: 0.0159 memory: 17087 grad_norm: 5.1608 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5364 loss: 1.5364 2022/08/04 03:00:41 - mmengine - INFO - Epoch(train) [78][1000/1879] lr: 1.0000e-02 eta: 1 day, 16:12:36 time: 0.4512 data_time: 0.0162 memory: 17087 grad_norm: 5.3430 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5120 loss: 1.5120 2022/08/04 03:00:49 - mmengine - INFO - Epoch(train) [78][1020/1879] lr: 1.0000e-02 eta: 1 day, 16:12:28 time: 0.4266 data_time: 0.0155 memory: 17087 grad_norm: 5.0392 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5529 loss: 1.5529 2022/08/04 03:00:58 - mmengine - INFO - Epoch(train) [78][1040/1879] lr: 1.0000e-02 eta: 1 day, 16:12:20 time: 0.4563 data_time: 0.0214 memory: 17087 grad_norm: 5.1742 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6304 loss: 1.6304 2022/08/04 03:01:07 - mmengine - INFO - Epoch(train) [78][1060/1879] lr: 1.0000e-02 eta: 1 day, 16:12:11 time: 0.4268 data_time: 0.0150 memory: 17087 grad_norm: 5.2726 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5678 loss: 1.5678 2022/08/04 03:01:16 - mmengine - INFO - Epoch(train) [78][1080/1879] lr: 1.0000e-02 eta: 1 day, 16:12:03 time: 0.4311 data_time: 0.0223 memory: 17087 grad_norm: 5.1898 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5171 loss: 1.5171 2022/08/04 03:01:24 - mmengine - INFO - Epoch(train) [78][1100/1879] lr: 1.0000e-02 eta: 1 day, 16:11:54 time: 0.4254 data_time: 0.0156 memory: 17087 grad_norm: 5.2245 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6227 loss: 1.6227 2022/08/04 03:01:33 - mmengine - INFO - Epoch(train) [78][1120/1879] lr: 1.0000e-02 eta: 1 day, 16:11:46 time: 0.4527 data_time: 0.0161 memory: 17087 grad_norm: 5.1012 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5529 loss: 1.5529 2022/08/04 03:01:42 - mmengine - INFO - Epoch(train) [78][1140/1879] lr: 1.0000e-02 eta: 1 day, 16:11:37 time: 0.4264 data_time: 0.0152 memory: 17087 grad_norm: 5.2789 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5851 loss: 1.5851 2022/08/04 03:01:50 - mmengine - INFO - Epoch(train) [78][1160/1879] lr: 1.0000e-02 eta: 1 day, 16:11:29 time: 0.4322 data_time: 0.0161 memory: 17087 grad_norm: 4.9769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5497 loss: 1.5497 2022/08/04 03:01:59 - mmengine - INFO - Epoch(train) [78][1180/1879] lr: 1.0000e-02 eta: 1 day, 16:11:20 time: 0.4252 data_time: 0.0143 memory: 17087 grad_norm: 5.3363 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4740 loss: 1.4740 2022/08/04 03:02:08 - mmengine - INFO - Epoch(train) [78][1200/1879] lr: 1.0000e-02 eta: 1 day, 16:11:12 time: 0.4432 data_time: 0.0217 memory: 17087 grad_norm: 5.3515 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6006 loss: 1.6006 2022/08/04 03:02:16 - mmengine - INFO - Epoch(train) [78][1220/1879] lr: 1.0000e-02 eta: 1 day, 16:11:03 time: 0.4265 data_time: 0.0139 memory: 17087 grad_norm: 5.3653 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4506 loss: 1.4506 2022/08/04 03:02:25 - mmengine - INFO - Epoch(train) [78][1240/1879] lr: 1.0000e-02 eta: 1 day, 16:10:54 time: 0.4263 data_time: 0.0161 memory: 17087 grad_norm: 5.2008 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3937 loss: 1.3937 2022/08/04 03:02:34 - mmengine - INFO - Epoch(train) [78][1260/1879] lr: 1.0000e-02 eta: 1 day, 16:10:46 time: 0.4475 data_time: 0.0162 memory: 17087 grad_norm: 5.3191 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5019 loss: 1.5019 2022/08/04 03:02:42 - mmengine - INFO - Epoch(train) [78][1280/1879] lr: 1.0000e-02 eta: 1 day, 16:10:37 time: 0.4325 data_time: 0.0160 memory: 17087 grad_norm: 5.3686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5421 loss: 1.5421 2022/08/04 03:02:51 - mmengine - INFO - Epoch(train) [78][1300/1879] lr: 1.0000e-02 eta: 1 day, 16:10:29 time: 0.4327 data_time: 0.0166 memory: 17087 grad_norm: 5.2357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6523 loss: 1.6523 2022/08/04 03:02:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 03:03:00 - mmengine - INFO - Epoch(train) [78][1320/1879] lr: 1.0000e-02 eta: 1 day, 16:10:20 time: 0.4289 data_time: 0.0161 memory: 17087 grad_norm: 5.0880 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6078 loss: 1.6078 2022/08/04 03:03:08 - mmengine - INFO - Epoch(train) [78][1340/1879] lr: 1.0000e-02 eta: 1 day, 16:10:11 time: 0.4283 data_time: 0.0160 memory: 17087 grad_norm: 5.0955 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4495 loss: 1.4495 2022/08/04 03:03:17 - mmengine - INFO - Epoch(train) [78][1360/1879] lr: 1.0000e-02 eta: 1 day, 16:10:02 time: 0.4275 data_time: 0.0172 memory: 17087 grad_norm: 5.2475 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5016 loss: 1.5016 2022/08/04 03:03:25 - mmengine - INFO - Epoch(train) [78][1380/1879] lr: 1.0000e-02 eta: 1 day, 16:09:53 time: 0.4277 data_time: 0.0128 memory: 17087 grad_norm: 5.1390 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6279 loss: 1.6279 2022/08/04 03:03:34 - mmengine - INFO - Epoch(train) [78][1400/1879] lr: 1.0000e-02 eta: 1 day, 16:09:45 time: 0.4387 data_time: 0.0160 memory: 17087 grad_norm: 5.1933 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4201 loss: 1.4201 2022/08/04 03:03:43 - mmengine - INFO - Epoch(train) [78][1420/1879] lr: 1.0000e-02 eta: 1 day, 16:09:36 time: 0.4306 data_time: 0.0173 memory: 17087 grad_norm: 5.2729 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5816 loss: 1.5816 2022/08/04 03:03:51 - mmengine - INFO - Epoch(train) [78][1440/1879] lr: 1.0000e-02 eta: 1 day, 16:09:28 time: 0.4269 data_time: 0.0163 memory: 17087 grad_norm: 5.3320 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4666 loss: 1.4666 2022/08/04 03:04:00 - mmengine - INFO - Epoch(train) [78][1460/1879] lr: 1.0000e-02 eta: 1 day, 16:09:20 time: 0.4514 data_time: 0.0160 memory: 17087 grad_norm: 5.3105 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5747 loss: 1.5747 2022/08/04 03:04:09 - mmengine - INFO - Epoch(train) [78][1480/1879] lr: 1.0000e-02 eta: 1 day, 16:09:11 time: 0.4269 data_time: 0.0157 memory: 17087 grad_norm: 5.2752 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7398 loss: 1.7398 2022/08/04 03:04:18 - mmengine - INFO - Epoch(train) [78][1500/1879] lr: 1.0000e-02 eta: 1 day, 16:09:03 time: 0.4434 data_time: 0.0162 memory: 17087 grad_norm: 5.2635 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6938 loss: 1.6938 2022/08/04 03:04:26 - mmengine - INFO - Epoch(train) [78][1520/1879] lr: 1.0000e-02 eta: 1 day, 16:08:54 time: 0.4251 data_time: 0.0148 memory: 17087 grad_norm: 5.1915 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3397 loss: 1.3397 2022/08/04 03:04:35 - mmengine - INFO - Epoch(train) [78][1540/1879] lr: 1.0000e-02 eta: 1 day, 16:08:45 time: 0.4268 data_time: 0.0145 memory: 17087 grad_norm: 5.0346 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5092 loss: 1.5092 2022/08/04 03:04:44 - mmengine - INFO - Epoch(train) [78][1560/1879] lr: 1.0000e-02 eta: 1 day, 16:08:37 time: 0.4350 data_time: 0.0181 memory: 17087 grad_norm: 5.1748 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6776 loss: 1.6776 2022/08/04 03:04:52 - mmengine - INFO - Epoch(train) [78][1580/1879] lr: 1.0000e-02 eta: 1 day, 16:08:28 time: 0.4269 data_time: 0.0153 memory: 17087 grad_norm: 5.1949 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5110 loss: 1.5110 2022/08/04 03:05:01 - mmengine - INFO - Epoch(train) [78][1600/1879] lr: 1.0000e-02 eta: 1 day, 16:08:19 time: 0.4342 data_time: 0.0178 memory: 17087 grad_norm: 5.0193 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5843 loss: 1.5843 2022/08/04 03:05:09 - mmengine - INFO - Epoch(train) [78][1620/1879] lr: 1.0000e-02 eta: 1 day, 16:08:10 time: 0.4254 data_time: 0.0150 memory: 17087 grad_norm: 5.1936 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6143 loss: 1.6143 2022/08/04 03:05:18 - mmengine - INFO - Epoch(train) [78][1640/1879] lr: 1.0000e-02 eta: 1 day, 16:08:03 time: 0.4549 data_time: 0.0184 memory: 17087 grad_norm: 5.1455 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6354 loss: 1.6354 2022/08/04 03:05:27 - mmengine - INFO - Epoch(train) [78][1660/1879] lr: 1.0000e-02 eta: 1 day, 16:07:54 time: 0.4259 data_time: 0.0150 memory: 17087 grad_norm: 5.3433 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4642 loss: 1.4642 2022/08/04 03:05:36 - mmengine - INFO - Epoch(train) [78][1680/1879] lr: 1.0000e-02 eta: 1 day, 16:07:45 time: 0.4321 data_time: 0.0203 memory: 17087 grad_norm: 5.2387 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6685 loss: 1.6685 2022/08/04 03:05:44 - mmengine - INFO - Epoch(train) [78][1700/1879] lr: 1.0000e-02 eta: 1 day, 16:07:37 time: 0.4333 data_time: 0.0139 memory: 17087 grad_norm: 5.2604 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4739 loss: 1.4739 2022/08/04 03:05:53 - mmengine - INFO - Epoch(train) [78][1720/1879] lr: 1.0000e-02 eta: 1 day, 16:07:28 time: 0.4303 data_time: 0.0176 memory: 17087 grad_norm: 5.2127 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3812 loss: 1.3812 2022/08/04 03:06:02 - mmengine - INFO - Epoch(train) [78][1740/1879] lr: 1.0000e-02 eta: 1 day, 16:07:20 time: 0.4449 data_time: 0.0157 memory: 17087 grad_norm: 5.2626 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3923 loss: 1.3923 2022/08/04 03:06:10 - mmengine - INFO - Epoch(train) [78][1760/1879] lr: 1.0000e-02 eta: 1 day, 16:07:11 time: 0.4331 data_time: 0.0194 memory: 17087 grad_norm: 5.3306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5940 loss: 1.5940 2022/08/04 03:06:20 - mmengine - INFO - Epoch(train) [78][1780/1879] lr: 1.0000e-02 eta: 1 day, 16:07:04 time: 0.4607 data_time: 0.0148 memory: 17087 grad_norm: 5.1342 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7955 loss: 1.7955 2022/08/04 03:06:28 - mmengine - INFO - Epoch(train) [78][1800/1879] lr: 1.0000e-02 eta: 1 day, 16:06:56 time: 0.4324 data_time: 0.0220 memory: 17087 grad_norm: 5.1253 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4636 loss: 1.4636 2022/08/04 03:06:37 - mmengine - INFO - Epoch(train) [78][1820/1879] lr: 1.0000e-02 eta: 1 day, 16:06:47 time: 0.4307 data_time: 0.0143 memory: 17087 grad_norm: 5.3030 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5371 loss: 1.5371 2022/08/04 03:06:46 - mmengine - INFO - Epoch(train) [78][1840/1879] lr: 1.0000e-02 eta: 1 day, 16:06:38 time: 0.4278 data_time: 0.0194 memory: 17087 grad_norm: 5.2266 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4172 loss: 1.4172 2022/08/04 03:06:54 - mmengine - INFO - Epoch(train) [78][1860/1879] lr: 1.0000e-02 eta: 1 day, 16:06:29 time: 0.4263 data_time: 0.0143 memory: 17087 grad_norm: 5.3047 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3687 loss: 1.3687 2022/08/04 03:07:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 03:07:02 - mmengine - INFO - Epoch(train) [78][1879/1879] lr: 1.0000e-02 eta: 1 day, 16:06:29 time: 0.4104 data_time: 0.0148 memory: 17087 grad_norm: 5.3505 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.4821 loss: 1.4821 2022/08/04 03:07:13 - mmengine - INFO - Epoch(train) [79][20/1879] lr: 1.0000e-02 eta: 1 day, 16:05:59 time: 0.5521 data_time: 0.1229 memory: 17087 grad_norm: 5.1551 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5755 loss: 1.5755 2022/08/04 03:07:22 - mmengine - INFO - Epoch(train) [79][40/1879] lr: 1.0000e-02 eta: 1 day, 16:05:51 time: 0.4333 data_time: 0.0168 memory: 17087 grad_norm: 5.0830 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4102 loss: 1.4102 2022/08/04 03:07:30 - mmengine - INFO - Epoch(train) [79][60/1879] lr: 1.0000e-02 eta: 1 day, 16:05:42 time: 0.4251 data_time: 0.0143 memory: 17087 grad_norm: 5.0627 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4820 loss: 1.4820 2022/08/04 03:07:39 - mmengine - INFO - Epoch(train) [79][80/1879] lr: 1.0000e-02 eta: 1 day, 16:05:34 time: 0.4479 data_time: 0.0173 memory: 17087 grad_norm: 5.1135 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5206 loss: 1.5206 2022/08/04 03:07:48 - mmengine - INFO - Epoch(train) [79][100/1879] lr: 1.0000e-02 eta: 1 day, 16:05:25 time: 0.4269 data_time: 0.0153 memory: 17087 grad_norm: 5.2148 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6479 loss: 1.6479 2022/08/04 03:07:56 - mmengine - INFO - Epoch(train) [79][120/1879] lr: 1.0000e-02 eta: 1 day, 16:05:16 time: 0.4283 data_time: 0.0158 memory: 17087 grad_norm: 5.1949 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4024 loss: 1.4024 2022/08/04 03:08:05 - mmengine - INFO - Epoch(train) [79][140/1879] lr: 1.0000e-02 eta: 1 day, 16:05:07 time: 0.4278 data_time: 0.0152 memory: 17087 grad_norm: 5.0247 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4513 loss: 1.4513 2022/08/04 03:08:13 - mmengine - INFO - Epoch(train) [79][160/1879] lr: 1.0000e-02 eta: 1 day, 16:04:59 time: 0.4295 data_time: 0.0168 memory: 17087 grad_norm: 5.1554 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5378 loss: 1.5378 2022/08/04 03:08:22 - mmengine - INFO - Epoch(train) [79][180/1879] lr: 1.0000e-02 eta: 1 day, 16:04:50 time: 0.4416 data_time: 0.0168 memory: 17087 grad_norm: 5.2670 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6342 loss: 1.6342 2022/08/04 03:08:31 - mmengine - INFO - Epoch(train) [79][200/1879] lr: 1.0000e-02 eta: 1 day, 16:04:42 time: 0.4277 data_time: 0.0195 memory: 17087 grad_norm: 5.3071 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3720 loss: 1.3720 2022/08/04 03:08:40 - mmengine - INFO - Epoch(train) [79][220/1879] lr: 1.0000e-02 eta: 1 day, 16:04:33 time: 0.4362 data_time: 0.0176 memory: 17087 grad_norm: 5.3166 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5757 loss: 1.5757 2022/08/04 03:08:48 - mmengine - INFO - Epoch(train) [79][240/1879] lr: 1.0000e-02 eta: 1 day, 16:04:25 time: 0.4379 data_time: 0.0166 memory: 17087 grad_norm: 5.1698 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5409 loss: 1.5409 2022/08/04 03:08:57 - mmengine - INFO - Epoch(train) [79][260/1879] lr: 1.0000e-02 eta: 1 day, 16:04:16 time: 0.4313 data_time: 0.0144 memory: 17087 grad_norm: 5.2527 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4804 loss: 1.4804 2022/08/04 03:09:06 - mmengine - INFO - Epoch(train) [79][280/1879] lr: 1.0000e-02 eta: 1 day, 16:04:08 time: 0.4347 data_time: 0.0185 memory: 17087 grad_norm: 5.2173 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4247 loss: 1.4247 2022/08/04 03:09:14 - mmengine - INFO - Epoch(train) [79][300/1879] lr: 1.0000e-02 eta: 1 day, 16:03:59 time: 0.4358 data_time: 0.0159 memory: 17087 grad_norm: 5.2710 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6188 loss: 1.6188 2022/08/04 03:09:23 - mmengine - INFO - Epoch(train) [79][320/1879] lr: 1.0000e-02 eta: 1 day, 16:03:51 time: 0.4431 data_time: 0.0163 memory: 17087 grad_norm: 5.0429 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2048 loss: 1.2048 2022/08/04 03:09:32 - mmengine - INFO - Epoch(train) [79][340/1879] lr: 1.0000e-02 eta: 1 day, 16:03:42 time: 0.4276 data_time: 0.0143 memory: 17087 grad_norm: 5.1402 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3049 loss: 1.3049 2022/08/04 03:09:40 - mmengine - INFO - Epoch(train) [79][360/1879] lr: 1.0000e-02 eta: 1 day, 16:03:34 time: 0.4293 data_time: 0.0167 memory: 17087 grad_norm: 5.3014 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4440 loss: 1.4440 2022/08/04 03:09:49 - mmengine - INFO - Epoch(train) [79][380/1879] lr: 1.0000e-02 eta: 1 day, 16:03:26 time: 0.4488 data_time: 0.0139 memory: 17087 grad_norm: 5.3024 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6610 loss: 1.6610 2022/08/04 03:09:58 - mmengine - INFO - Epoch(train) [79][400/1879] lr: 1.0000e-02 eta: 1 day, 16:03:17 time: 0.4316 data_time: 0.0187 memory: 17087 grad_norm: 5.2226 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4924 loss: 1.4924 2022/08/04 03:10:07 - mmengine - INFO - Epoch(train) [79][420/1879] lr: 1.0000e-02 eta: 1 day, 16:03:08 time: 0.4255 data_time: 0.0146 memory: 17087 grad_norm: 5.1062 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6207 loss: 1.6207 2022/08/04 03:10:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 03:10:15 - mmengine - INFO - Epoch(train) [79][440/1879] lr: 1.0000e-02 eta: 1 day, 16:02:59 time: 0.4262 data_time: 0.0152 memory: 17087 grad_norm: 5.0532 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4340 loss: 1.4340 2022/08/04 03:10:24 - mmengine - INFO - Epoch(train) [79][460/1879] lr: 1.0000e-02 eta: 1 day, 16:02:52 time: 0.4584 data_time: 0.0164 memory: 17087 grad_norm: 5.0969 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4422 loss: 1.4422 2022/08/04 03:10:33 - mmengine - INFO - Epoch(train) [79][480/1879] lr: 1.0000e-02 eta: 1 day, 16:02:43 time: 0.4279 data_time: 0.0174 memory: 17087 grad_norm: 5.2064 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6606 loss: 1.6606 2022/08/04 03:10:42 - mmengine - INFO - Epoch(train) [79][500/1879] lr: 1.0000e-02 eta: 1 day, 16:02:35 time: 0.4548 data_time: 0.0160 memory: 17087 grad_norm: 5.0581 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4338 loss: 1.4338 2022/08/04 03:10:51 - mmengine - INFO - Epoch(train) [79][520/1879] lr: 1.0000e-02 eta: 1 day, 16:02:27 time: 0.4267 data_time: 0.0156 memory: 17087 grad_norm: 5.3354 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3016 loss: 1.3016 2022/08/04 03:10:59 - mmengine - INFO - Epoch(train) [79][540/1879] lr: 1.0000e-02 eta: 1 day, 16:02:18 time: 0.4414 data_time: 0.0201 memory: 17087 grad_norm: 5.1483 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4283 loss: 1.4283 2022/08/04 03:11:08 - mmengine - INFO - Epoch(train) [79][560/1879] lr: 1.0000e-02 eta: 1 day, 16:02:10 time: 0.4265 data_time: 0.0147 memory: 17087 grad_norm: 5.3611 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4662 loss: 1.4662 2022/08/04 03:11:16 - mmengine - INFO - Epoch(train) [79][580/1879] lr: 1.0000e-02 eta: 1 day, 16:02:01 time: 0.4247 data_time: 0.0146 memory: 17087 grad_norm: 5.1628 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.4938 loss: 1.4938 2022/08/04 03:11:25 - mmengine - INFO - Epoch(train) [79][600/1879] lr: 1.0000e-02 eta: 1 day, 16:01:52 time: 0.4356 data_time: 0.0166 memory: 17087 grad_norm: 5.3459 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4952 loss: 1.4952 2022/08/04 03:11:34 - mmengine - INFO - Epoch(train) [79][620/1879] lr: 1.0000e-02 eta: 1 day, 16:01:43 time: 0.4257 data_time: 0.0148 memory: 17087 grad_norm: 5.0660 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4926 loss: 1.4926 2022/08/04 03:11:42 - mmengine - INFO - Epoch(train) [79][640/1879] lr: 1.0000e-02 eta: 1 day, 16:01:35 time: 0.4392 data_time: 0.0162 memory: 17087 grad_norm: 5.1980 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6462 loss: 1.6462 2022/08/04 03:11:51 - mmengine - INFO - Epoch(train) [79][660/1879] lr: 1.0000e-02 eta: 1 day, 16:01:26 time: 0.4294 data_time: 0.0172 memory: 17087 grad_norm: 5.1327 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4823 loss: 1.4823 2022/08/04 03:12:00 - mmengine - INFO - Epoch(train) [79][680/1879] lr: 1.0000e-02 eta: 1 day, 16:01:18 time: 0.4460 data_time: 0.0155 memory: 17087 grad_norm: 5.2785 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6143 loss: 1.6143 2022/08/04 03:12:09 - mmengine - INFO - Epoch(train) [79][700/1879] lr: 1.0000e-02 eta: 1 day, 16:01:10 time: 0.4300 data_time: 0.0192 memory: 17087 grad_norm: 5.2350 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5249 loss: 1.5249 2022/08/04 03:12:17 - mmengine - INFO - Epoch(train) [79][720/1879] lr: 1.0000e-02 eta: 1 day, 16:01:01 time: 0.4241 data_time: 0.0141 memory: 17087 grad_norm: 5.2570 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5515 loss: 1.5515 2022/08/04 03:12:26 - mmengine - INFO - Epoch(train) [79][740/1879] lr: 1.0000e-02 eta: 1 day, 16:00:53 time: 0.4457 data_time: 0.0150 memory: 17087 grad_norm: 5.4576 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4825 loss: 1.4825 2022/08/04 03:12:35 - mmengine - INFO - Epoch(train) [79][760/1879] lr: 1.0000e-02 eta: 1 day, 16:00:44 time: 0.4361 data_time: 0.0169 memory: 17087 grad_norm: 5.3087 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4763 loss: 1.4763 2022/08/04 03:12:43 - mmengine - INFO - Epoch(train) [79][780/1879] lr: 1.0000e-02 eta: 1 day, 16:00:35 time: 0.4301 data_time: 0.0154 memory: 17087 grad_norm: 5.3170 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6496 loss: 1.6496 2022/08/04 03:12:52 - mmengine - INFO - Epoch(train) [79][800/1879] lr: 1.0000e-02 eta: 1 day, 16:00:27 time: 0.4346 data_time: 0.0177 memory: 17087 grad_norm: 5.1139 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4028 loss: 1.4028 2022/08/04 03:13:01 - mmengine - INFO - Epoch(train) [79][820/1879] lr: 1.0000e-02 eta: 1 day, 16:00:18 time: 0.4285 data_time: 0.0158 memory: 17087 grad_norm: 5.3591 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4854 loss: 1.4854 2022/08/04 03:13:09 - mmengine - INFO - Epoch(train) [79][840/1879] lr: 1.0000e-02 eta: 1 day, 16:00:10 time: 0.4325 data_time: 0.0152 memory: 17087 grad_norm: 5.2464 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4885 loss: 1.4885 2022/08/04 03:13:18 - mmengine - INFO - Epoch(train) [79][860/1879] lr: 1.0000e-02 eta: 1 day, 16:00:01 time: 0.4265 data_time: 0.0161 memory: 17087 grad_norm: 5.0946 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6320 loss: 1.6320 2022/08/04 03:13:26 - mmengine - INFO - Epoch(train) [79][880/1879] lr: 1.0000e-02 eta: 1 day, 15:59:52 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 5.1158 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4459 loss: 1.4459 2022/08/04 03:13:35 - mmengine - INFO - Epoch(train) [79][900/1879] lr: 1.0000e-02 eta: 1 day, 15:59:43 time: 0.4327 data_time: 0.0167 memory: 17087 grad_norm: 5.3408 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5170 loss: 1.5170 2022/08/04 03:13:44 - mmengine - INFO - Epoch(train) [79][920/1879] lr: 1.0000e-02 eta: 1 day, 15:59:34 time: 0.4260 data_time: 0.0148 memory: 17087 grad_norm: 5.0842 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4646 loss: 1.4646 2022/08/04 03:13:53 - mmengine - INFO - Epoch(train) [79][940/1879] lr: 1.0000e-02 eta: 1 day, 15:59:27 time: 0.4563 data_time: 0.0177 memory: 17087 grad_norm: 5.1592 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5850 loss: 1.5850 2022/08/04 03:14:01 - mmengine - INFO - Epoch(train) [79][960/1879] lr: 1.0000e-02 eta: 1 day, 15:59:18 time: 0.4289 data_time: 0.0154 memory: 17087 grad_norm: 5.1566 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5775 loss: 1.5775 2022/08/04 03:14:10 - mmengine - INFO - Epoch(train) [79][980/1879] lr: 1.0000e-02 eta: 1 day, 15:59:10 time: 0.4369 data_time: 0.0164 memory: 17087 grad_norm: 5.3460 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5883 loss: 1.5883 2022/08/04 03:14:19 - mmengine - INFO - Epoch(train) [79][1000/1879] lr: 1.0000e-02 eta: 1 day, 15:59:01 time: 0.4248 data_time: 0.0149 memory: 17087 grad_norm: 5.3541 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4853 loss: 1.4853 2022/08/04 03:14:27 - mmengine - INFO - Epoch(train) [79][1020/1879] lr: 1.0000e-02 eta: 1 day, 15:58:52 time: 0.4258 data_time: 0.0168 memory: 17087 grad_norm: 5.2125 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5222 loss: 1.5222 2022/08/04 03:14:36 - mmengine - INFO - Epoch(train) [79][1040/1879] lr: 1.0000e-02 eta: 1 day, 15:58:44 time: 0.4581 data_time: 0.0155 memory: 17087 grad_norm: 5.0049 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3965 loss: 1.3965 2022/08/04 03:14:45 - mmengine - INFO - Epoch(train) [79][1060/1879] lr: 1.0000e-02 eta: 1 day, 15:58:36 time: 0.4315 data_time: 0.0196 memory: 17087 grad_norm: 5.1925 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3910 loss: 1.3910 2022/08/04 03:14:54 - mmengine - INFO - Epoch(train) [79][1080/1879] lr: 1.0000e-02 eta: 1 day, 15:58:28 time: 0.4545 data_time: 0.0157 memory: 17087 grad_norm: 5.1698 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6377 loss: 1.6377 2022/08/04 03:15:03 - mmengine - INFO - Epoch(train) [79][1100/1879] lr: 1.0000e-02 eta: 1 day, 15:58:20 time: 0.4318 data_time: 0.0206 memory: 17087 grad_norm: 5.3307 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5312 loss: 1.5312 2022/08/04 03:15:12 - mmengine - INFO - Epoch(train) [79][1120/1879] lr: 1.0000e-02 eta: 1 day, 15:58:12 time: 0.4517 data_time: 0.0168 memory: 17087 grad_norm: 5.2505 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7778 loss: 1.7778 2022/08/04 03:15:20 - mmengine - INFO - Epoch(train) [79][1140/1879] lr: 1.0000e-02 eta: 1 day, 15:58:03 time: 0.4353 data_time: 0.0236 memory: 17087 grad_norm: 5.1211 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5882 loss: 1.5882 2022/08/04 03:15:29 - mmengine - INFO - Epoch(train) [79][1160/1879] lr: 1.0000e-02 eta: 1 day, 15:57:55 time: 0.4444 data_time: 0.0172 memory: 17087 grad_norm: 5.3139 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4314 loss: 1.4314 2022/08/04 03:15:38 - mmengine - INFO - Epoch(train) [79][1180/1879] lr: 1.0000e-02 eta: 1 day, 15:57:46 time: 0.4257 data_time: 0.0132 memory: 17087 grad_norm: 5.2667 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3336 loss: 1.3336 2022/08/04 03:15:46 - mmengine - INFO - Epoch(train) [79][1200/1879] lr: 1.0000e-02 eta: 1 day, 15:57:38 time: 0.4275 data_time: 0.0159 memory: 17087 grad_norm: 5.1183 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5037 loss: 1.5037 2022/08/04 03:15:55 - mmengine - INFO - Epoch(train) [79][1220/1879] lr: 1.0000e-02 eta: 1 day, 15:57:29 time: 0.4305 data_time: 0.0164 memory: 17087 grad_norm: 5.3672 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6965 loss: 1.6965 2022/08/04 03:16:04 - mmengine - INFO - Epoch(train) [79][1240/1879] lr: 1.0000e-02 eta: 1 day, 15:57:20 time: 0.4275 data_time: 0.0159 memory: 17087 grad_norm: 5.3009 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5036 loss: 1.5036 2022/08/04 03:16:13 - mmengine - INFO - Epoch(train) [79][1260/1879] lr: 1.0000e-02 eta: 1 day, 15:57:12 time: 0.4527 data_time: 0.0150 memory: 17087 grad_norm: 5.3161 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6428 loss: 1.6428 2022/08/04 03:16:21 - mmengine - INFO - Epoch(train) [79][1280/1879] lr: 1.0000e-02 eta: 1 day, 15:57:04 time: 0.4270 data_time: 0.0157 memory: 17087 grad_norm: 5.2379 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4831 loss: 1.4831 2022/08/04 03:16:30 - mmengine - INFO - Epoch(train) [79][1300/1879] lr: 1.0000e-02 eta: 1 day, 15:56:55 time: 0.4422 data_time: 0.0186 memory: 17087 grad_norm: 5.3602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6222 loss: 1.6222 2022/08/04 03:16:39 - mmengine - INFO - Epoch(train) [79][1320/1879] lr: 1.0000e-02 eta: 1 day, 15:56:47 time: 0.4271 data_time: 0.0149 memory: 17087 grad_norm: 5.2344 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7184 loss: 1.7184 2022/08/04 03:16:47 - mmengine - INFO - Epoch(train) [79][1340/1879] lr: 1.0000e-02 eta: 1 day, 15:56:39 time: 0.4455 data_time: 0.0177 memory: 17087 grad_norm: 5.2193 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7465 loss: 1.7465 2022/08/04 03:16:56 - mmengine - INFO - Epoch(train) [79][1360/1879] lr: 1.0000e-02 eta: 1 day, 15:56:30 time: 0.4268 data_time: 0.0152 memory: 17087 grad_norm: 5.1993 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4979 loss: 1.4979 2022/08/04 03:17:05 - mmengine - INFO - Epoch(train) [79][1380/1879] lr: 1.0000e-02 eta: 1 day, 15:56:21 time: 0.4259 data_time: 0.0149 memory: 17087 grad_norm: 5.1600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4999 loss: 1.4999 2022/08/04 03:17:13 - mmengine - INFO - Epoch(train) [79][1400/1879] lr: 1.0000e-02 eta: 1 day, 15:56:12 time: 0.4386 data_time: 0.0174 memory: 17087 grad_norm: 5.0521 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4700 loss: 1.4700 2022/08/04 03:17:22 - mmengine - INFO - Epoch(train) [79][1420/1879] lr: 1.0000e-02 eta: 1 day, 15:56:04 time: 0.4311 data_time: 0.0165 memory: 17087 grad_norm: 5.1911 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6379 loss: 1.6379 2022/08/04 03:17:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 03:17:31 - mmengine - INFO - Epoch(train) [79][1440/1879] lr: 1.0000e-02 eta: 1 day, 15:55:56 time: 0.4459 data_time: 0.0156 memory: 17087 grad_norm: 5.1597 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4750 loss: 1.4750 2022/08/04 03:17:40 - mmengine - INFO - Epoch(train) [79][1460/1879] lr: 1.0000e-02 eta: 1 day, 15:55:47 time: 0.4299 data_time: 0.0184 memory: 17087 grad_norm: 5.1551 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6795 loss: 1.6795 2022/08/04 03:17:48 - mmengine - INFO - Epoch(train) [79][1480/1879] lr: 1.0000e-02 eta: 1 day, 15:55:38 time: 0.4318 data_time: 0.0178 memory: 17087 grad_norm: 5.3201 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5951 loss: 1.5951 2022/08/04 03:17:57 - mmengine - INFO - Epoch(train) [79][1500/1879] lr: 1.0000e-02 eta: 1 day, 15:55:30 time: 0.4303 data_time: 0.0158 memory: 17087 grad_norm: 5.2638 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6377 loss: 1.6377 2022/08/04 03:18:05 - mmengine - INFO - Epoch(train) [79][1520/1879] lr: 1.0000e-02 eta: 1 day, 15:55:21 time: 0.4268 data_time: 0.0151 memory: 17087 grad_norm: 5.1766 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4429 loss: 1.4429 2022/08/04 03:18:14 - mmengine - INFO - Epoch(train) [79][1540/1879] lr: 1.0000e-02 eta: 1 day, 15:55:12 time: 0.4334 data_time: 0.0159 memory: 17087 grad_norm: 5.1236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4289 loss: 1.4289 2022/08/04 03:18:23 - mmengine - INFO - Epoch(train) [79][1560/1879] lr: 1.0000e-02 eta: 1 day, 15:55:03 time: 0.4268 data_time: 0.0157 memory: 17087 grad_norm: 5.1945 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6432 loss: 1.6432 2022/08/04 03:18:32 - mmengine - INFO - Epoch(train) [79][1580/1879] lr: 1.0000e-02 eta: 1 day, 15:54:56 time: 0.4478 data_time: 0.0175 memory: 17087 grad_norm: 5.3765 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.6301 loss: 1.6301 2022/08/04 03:18:40 - mmengine - INFO - Epoch(train) [79][1600/1879] lr: 1.0000e-02 eta: 1 day, 15:54:47 time: 0.4266 data_time: 0.0150 memory: 17087 grad_norm: 5.4151 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.4742 loss: 1.4742 2022/08/04 03:18:49 - mmengine - INFO - Epoch(train) [79][1620/1879] lr: 1.0000e-02 eta: 1 day, 15:54:38 time: 0.4309 data_time: 0.0150 memory: 17087 grad_norm: 5.2925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4628 loss: 1.4628 2022/08/04 03:18:57 - mmengine - INFO - Epoch(train) [79][1640/1879] lr: 1.0000e-02 eta: 1 day, 15:54:29 time: 0.4268 data_time: 0.0167 memory: 17087 grad_norm: 5.3034 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4238 loss: 1.4238 2022/08/04 03:19:06 - mmengine - INFO - Epoch(train) [79][1660/1879] lr: 1.0000e-02 eta: 1 day, 15:54:20 time: 0.4295 data_time: 0.0148 memory: 17087 grad_norm: 5.1656 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5473 loss: 1.5473 2022/08/04 03:19:15 - mmengine - INFO - Epoch(train) [79][1680/1879] lr: 1.0000e-02 eta: 1 day, 15:54:12 time: 0.4359 data_time: 0.0155 memory: 17087 grad_norm: 5.1653 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3729 loss: 1.3729 2022/08/04 03:19:23 - mmengine - INFO - Epoch(train) [79][1700/1879] lr: 1.0000e-02 eta: 1 day, 15:54:03 time: 0.4296 data_time: 0.0156 memory: 17087 grad_norm: 5.3122 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6569 loss: 1.6569 2022/08/04 03:19:32 - mmengine - INFO - Epoch(train) [79][1720/1879] lr: 1.0000e-02 eta: 1 day, 15:53:55 time: 0.4454 data_time: 0.0190 memory: 17087 grad_norm: 5.2588 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3818 loss: 1.3818 2022/08/04 03:19:41 - mmengine - INFO - Epoch(train) [79][1740/1879] lr: 1.0000e-02 eta: 1 day, 15:53:46 time: 0.4270 data_time: 0.0135 memory: 17087 grad_norm: 5.3141 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6473 loss: 1.6473 2022/08/04 03:19:50 - mmengine - INFO - Epoch(train) [79][1760/1879] lr: 1.0000e-02 eta: 1 day, 15:53:38 time: 0.4462 data_time: 0.0162 memory: 17087 grad_norm: 5.2817 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5889 loss: 1.5889 2022/08/04 03:19:58 - mmengine - INFO - Epoch(train) [79][1780/1879] lr: 1.0000e-02 eta: 1 day, 15:53:30 time: 0.4249 data_time: 0.0158 memory: 17087 grad_norm: 5.2292 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8425 loss: 1.8425 2022/08/04 03:20:07 - mmengine - INFO - Epoch(train) [79][1800/1879] lr: 1.0000e-02 eta: 1 day, 15:53:21 time: 0.4259 data_time: 0.0152 memory: 17087 grad_norm: 5.2762 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5015 loss: 1.5015 2022/08/04 03:20:16 - mmengine - INFO - Epoch(train) [79][1820/1879] lr: 1.0000e-02 eta: 1 day, 15:53:13 time: 0.4557 data_time: 0.0158 memory: 17087 grad_norm: 5.2258 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4932 loss: 1.4932 2022/08/04 03:20:24 - mmengine - INFO - Epoch(train) [79][1840/1879] lr: 1.0000e-02 eta: 1 day, 15:53:04 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 5.0797 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4476 loss: 1.4476 2022/08/04 03:20:33 - mmengine - INFO - Epoch(train) [79][1860/1879] lr: 1.0000e-02 eta: 1 day, 15:52:56 time: 0.4340 data_time: 0.0162 memory: 17087 grad_norm: 5.2011 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5346 loss: 1.5346 2022/08/04 03:20:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 03:20:41 - mmengine - INFO - Epoch(train) [79][1879/1879] lr: 1.0000e-02 eta: 1 day, 15:52:56 time: 0.4068 data_time: 0.0141 memory: 17087 grad_norm: 5.3906 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.5190 loss: 1.5190 2022/08/04 03:20:52 - mmengine - INFO - Epoch(train) [80][20/1879] lr: 1.0000e-02 eta: 1 day, 15:52:26 time: 0.5634 data_time: 0.1233 memory: 17087 grad_norm: 5.0455 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5351 loss: 1.5351 2022/08/04 03:21:01 - mmengine - INFO - Epoch(train) [80][40/1879] lr: 1.0000e-02 eta: 1 day, 15:52:19 time: 0.4495 data_time: 0.0176 memory: 17087 grad_norm: 5.1842 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5790 loss: 1.5790 2022/08/04 03:21:10 - mmengine - INFO - Epoch(train) [80][60/1879] lr: 1.0000e-02 eta: 1 day, 15:52:10 time: 0.4362 data_time: 0.0167 memory: 17087 grad_norm: 5.2171 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5557 loss: 1.5557 2022/08/04 03:21:18 - mmengine - INFO - Epoch(train) [80][80/1879] lr: 1.0000e-02 eta: 1 day, 15:52:02 time: 0.4332 data_time: 0.0200 memory: 17087 grad_norm: 5.2270 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6968 loss: 1.6968 2022/08/04 03:21:27 - mmengine - INFO - Epoch(train) [80][100/1879] lr: 1.0000e-02 eta: 1 day, 15:51:53 time: 0.4238 data_time: 0.0144 memory: 17087 grad_norm: 5.1873 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4271 loss: 1.4271 2022/08/04 03:21:36 - mmengine - INFO - Epoch(train) [80][120/1879] lr: 1.0000e-02 eta: 1 day, 15:51:44 time: 0.4359 data_time: 0.0170 memory: 17087 grad_norm: 5.1797 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5310 loss: 1.5310 2022/08/04 03:21:44 - mmengine - INFO - Epoch(train) [80][140/1879] lr: 1.0000e-02 eta: 1 day, 15:51:35 time: 0.4267 data_time: 0.0137 memory: 17087 grad_norm: 5.0350 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3863 loss: 1.3863 2022/08/04 03:21:53 - mmengine - INFO - Epoch(train) [80][160/1879] lr: 1.0000e-02 eta: 1 day, 15:51:27 time: 0.4342 data_time: 0.0161 memory: 17087 grad_norm: 5.2448 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5577 loss: 1.5577 2022/08/04 03:22:02 - mmengine - INFO - Epoch(train) [80][180/1879] lr: 1.0000e-02 eta: 1 day, 15:51:18 time: 0.4305 data_time: 0.0154 memory: 17087 grad_norm: 5.3484 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6067 loss: 1.6067 2022/08/04 03:22:10 - mmengine - INFO - Epoch(train) [80][200/1879] lr: 1.0000e-02 eta: 1 day, 15:51:09 time: 0.4267 data_time: 0.0151 memory: 17087 grad_norm: 5.2454 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5005 loss: 1.5005 2022/08/04 03:22:19 - mmengine - INFO - Epoch(train) [80][220/1879] lr: 1.0000e-02 eta: 1 day, 15:51:02 time: 0.4514 data_time: 0.0151 memory: 17087 grad_norm: 5.3059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2603 loss: 1.2603 2022/08/04 03:22:28 - mmengine - INFO - Epoch(train) [80][240/1879] lr: 1.0000e-02 eta: 1 day, 15:50:53 time: 0.4280 data_time: 0.0154 memory: 17087 grad_norm: 5.2524 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5844 loss: 1.5844 2022/08/04 03:22:36 - mmengine - INFO - Epoch(train) [80][260/1879] lr: 1.0000e-02 eta: 1 day, 15:50:44 time: 0.4265 data_time: 0.0129 memory: 17087 grad_norm: 5.2427 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4426 loss: 1.4426 2022/08/04 03:22:45 - mmengine - INFO - Epoch(train) [80][280/1879] lr: 1.0000e-02 eta: 1 day, 15:50:35 time: 0.4373 data_time: 0.0173 memory: 17087 grad_norm: 5.3631 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5653 loss: 1.5653 2022/08/04 03:22:54 - mmengine - INFO - Epoch(train) [80][300/1879] lr: 1.0000e-02 eta: 1 day, 15:50:27 time: 0.4274 data_time: 0.0162 memory: 17087 grad_norm: 5.3066 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6284 loss: 1.6284 2022/08/04 03:23:02 - mmengine - INFO - Epoch(train) [80][320/1879] lr: 1.0000e-02 eta: 1 day, 15:50:18 time: 0.4317 data_time: 0.0152 memory: 17087 grad_norm: 5.1806 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4763 loss: 1.4763 2022/08/04 03:23:11 - mmengine - INFO - Epoch(train) [80][340/1879] lr: 1.0000e-02 eta: 1 day, 15:50:10 time: 0.4349 data_time: 0.0164 memory: 17087 grad_norm: 5.3761 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4196 loss: 1.4196 2022/08/04 03:23:19 - mmengine - INFO - Epoch(train) [80][360/1879] lr: 1.0000e-02 eta: 1 day, 15:50:01 time: 0.4276 data_time: 0.0160 memory: 17087 grad_norm: 5.4314 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4942 loss: 1.4942 2022/08/04 03:23:28 - mmengine - INFO - Epoch(train) [80][380/1879] lr: 1.0000e-02 eta: 1 day, 15:49:52 time: 0.4248 data_time: 0.0144 memory: 17087 grad_norm: 5.2901 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3778 loss: 1.3778 2022/08/04 03:23:37 - mmengine - INFO - Epoch(train) [80][400/1879] lr: 1.0000e-02 eta: 1 day, 15:49:44 time: 0.4414 data_time: 0.0162 memory: 17087 grad_norm: 5.3977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5976 loss: 1.5976 2022/08/04 03:23:45 - mmengine - INFO - Epoch(train) [80][420/1879] lr: 1.0000e-02 eta: 1 day, 15:49:35 time: 0.4261 data_time: 0.0133 memory: 17087 grad_norm: 5.3210 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4911 loss: 1.4911 2022/08/04 03:23:55 - mmengine - INFO - Epoch(train) [80][440/1879] lr: 1.0000e-02 eta: 1 day, 15:49:27 time: 0.4631 data_time: 0.0152 memory: 17087 grad_norm: 5.1629 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4317 loss: 1.4317 2022/08/04 03:24:03 - mmengine - INFO - Epoch(train) [80][460/1879] lr: 1.0000e-02 eta: 1 day, 15:49:19 time: 0.4277 data_time: 0.0155 memory: 17087 grad_norm: 5.1728 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3987 loss: 1.3987 2022/08/04 03:24:12 - mmengine - INFO - Epoch(train) [80][480/1879] lr: 1.0000e-02 eta: 1 day, 15:49:11 time: 0.4506 data_time: 0.0182 memory: 17087 grad_norm: 5.2091 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5326 loss: 1.5326 2022/08/04 03:24:21 - mmengine - INFO - Epoch(train) [80][500/1879] lr: 1.0000e-02 eta: 1 day, 15:49:02 time: 0.4267 data_time: 0.0155 memory: 17087 grad_norm: 5.2685 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2527 loss: 1.2527 2022/08/04 03:24:30 - mmengine - INFO - Epoch(train) [80][520/1879] lr: 1.0000e-02 eta: 1 day, 15:48:54 time: 0.4405 data_time: 0.0156 memory: 17087 grad_norm: 5.1140 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4799 loss: 1.4799 2022/08/04 03:24:38 - mmengine - INFO - Epoch(train) [80][540/1879] lr: 1.0000e-02 eta: 1 day, 15:48:45 time: 0.4260 data_time: 0.0147 memory: 17087 grad_norm: 5.0880 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5456 loss: 1.5456 2022/08/04 03:24:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 03:24:47 - mmengine - INFO - Epoch(train) [80][560/1879] lr: 1.0000e-02 eta: 1 day, 15:48:36 time: 0.4252 data_time: 0.0142 memory: 17087 grad_norm: 5.2512 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6484 loss: 1.6484 2022/08/04 03:24:55 - mmengine - INFO - Epoch(train) [80][580/1879] lr: 1.0000e-02 eta: 1 day, 15:48:28 time: 0.4363 data_time: 0.0161 memory: 17087 grad_norm: 5.3194 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5673 loss: 1.5673 2022/08/04 03:25:04 - mmengine - INFO - Epoch(train) [80][600/1879] lr: 1.0000e-02 eta: 1 day, 15:48:19 time: 0.4297 data_time: 0.0154 memory: 17087 grad_norm: 5.1080 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6533 loss: 1.6533 2022/08/04 03:25:13 - mmengine - INFO - Epoch(train) [80][620/1879] lr: 1.0000e-02 eta: 1 day, 15:48:10 time: 0.4348 data_time: 0.0158 memory: 17087 grad_norm: 5.1477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5268 loss: 1.5268 2022/08/04 03:25:21 - mmengine - INFO - Epoch(train) [80][640/1879] lr: 1.0000e-02 eta: 1 day, 15:48:02 time: 0.4274 data_time: 0.0158 memory: 17087 grad_norm: 5.2004 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6685 loss: 1.6685 2022/08/04 03:25:31 - mmengine - INFO - Epoch(train) [80][660/1879] lr: 1.0000e-02 eta: 1 day, 15:47:54 time: 0.4673 data_time: 0.0159 memory: 17087 grad_norm: 5.3295 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2832 loss: 1.2832 2022/08/04 03:25:39 - mmengine - INFO - Epoch(train) [80][680/1879] lr: 1.0000e-02 eta: 1 day, 15:47:46 time: 0.4274 data_time: 0.0173 memory: 17087 grad_norm: 5.3474 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5935 loss: 1.5935 2022/08/04 03:25:48 - mmengine - INFO - Epoch(train) [80][700/1879] lr: 1.0000e-02 eta: 1 day, 15:47:37 time: 0.4252 data_time: 0.0143 memory: 17087 grad_norm: 5.2611 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5096 loss: 1.5096 2022/08/04 03:25:57 - mmengine - INFO - Epoch(train) [80][720/1879] lr: 1.0000e-02 eta: 1 day, 15:47:29 time: 0.4595 data_time: 0.0162 memory: 17087 grad_norm: 5.1423 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3043 loss: 1.3043 2022/08/04 03:26:05 - mmengine - INFO - Epoch(train) [80][740/1879] lr: 1.0000e-02 eta: 1 day, 15:47:20 time: 0.4255 data_time: 0.0154 memory: 17087 grad_norm: 5.2917 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5348 loss: 1.5348 2022/08/04 03:26:15 - mmengine - INFO - Epoch(train) [80][760/1879] lr: 1.0000e-02 eta: 1 day, 15:47:13 time: 0.4694 data_time: 0.0186 memory: 17087 grad_norm: 5.0028 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2987 loss: 1.2987 2022/08/04 03:26:23 - mmengine - INFO - Epoch(train) [80][780/1879] lr: 1.0000e-02 eta: 1 day, 15:47:05 time: 0.4263 data_time: 0.0151 memory: 17087 grad_norm: 5.1532 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5679 loss: 1.5679 2022/08/04 03:26:32 - mmengine - INFO - Epoch(train) [80][800/1879] lr: 1.0000e-02 eta: 1 day, 15:46:56 time: 0.4320 data_time: 0.0172 memory: 17087 grad_norm: 5.2295 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5851 loss: 1.5851 2022/08/04 03:26:40 - mmengine - INFO - Epoch(train) [80][820/1879] lr: 1.0000e-02 eta: 1 day, 15:46:47 time: 0.4259 data_time: 0.0147 memory: 17087 grad_norm: 5.2993 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6905 loss: 1.6905 2022/08/04 03:26:49 - mmengine - INFO - Epoch(train) [80][840/1879] lr: 1.0000e-02 eta: 1 day, 15:46:39 time: 0.4441 data_time: 0.0198 memory: 17087 grad_norm: 5.1521 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5302 loss: 1.5302 2022/08/04 03:26:58 - mmengine - INFO - Epoch(train) [80][860/1879] lr: 1.0000e-02 eta: 1 day, 15:46:30 time: 0.4248 data_time: 0.0150 memory: 17087 grad_norm: 5.1584 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4411 loss: 1.4411 2022/08/04 03:27:06 - mmengine - INFO - Epoch(train) [80][880/1879] lr: 1.0000e-02 eta: 1 day, 15:46:21 time: 0.4258 data_time: 0.0149 memory: 17087 grad_norm: 5.2740 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5632 loss: 1.5632 2022/08/04 03:27:15 - mmengine - INFO - Epoch(train) [80][900/1879] lr: 1.0000e-02 eta: 1 day, 15:46:12 time: 0.4297 data_time: 0.0152 memory: 17087 grad_norm: 5.2147 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.4276 loss: 1.4276 2022/08/04 03:27:24 - mmengine - INFO - Epoch(train) [80][920/1879] lr: 1.0000e-02 eta: 1 day, 15:46:04 time: 0.4274 data_time: 0.0163 memory: 17087 grad_norm: 5.1384 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6457 loss: 1.6457 2022/08/04 03:27:33 - mmengine - INFO - Epoch(train) [80][940/1879] lr: 1.0000e-02 eta: 1 day, 15:45:56 time: 0.4491 data_time: 0.0145 memory: 17087 grad_norm: 5.2458 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6100 loss: 1.6100 2022/08/04 03:27:41 - mmengine - INFO - Epoch(train) [80][960/1879] lr: 1.0000e-02 eta: 1 day, 15:45:47 time: 0.4352 data_time: 0.0167 memory: 17087 grad_norm: 5.1905 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4716 loss: 1.4716 2022/08/04 03:27:50 - mmengine - INFO - Epoch(train) [80][980/1879] lr: 1.0000e-02 eta: 1 day, 15:45:40 time: 0.4500 data_time: 0.0153 memory: 17087 grad_norm: 5.1381 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4640 loss: 1.4640 2022/08/04 03:27:59 - mmengine - INFO - Epoch(train) [80][1000/1879] lr: 1.0000e-02 eta: 1 day, 15:45:31 time: 0.4269 data_time: 0.0149 memory: 17087 grad_norm: 5.3318 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5535 loss: 1.5535 2022/08/04 03:28:07 - mmengine - INFO - Epoch(train) [80][1020/1879] lr: 1.0000e-02 eta: 1 day, 15:45:22 time: 0.4304 data_time: 0.0145 memory: 17087 grad_norm: 5.2492 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5910 loss: 1.5910 2022/08/04 03:28:17 - mmengine - INFO - Epoch(train) [80][1040/1879] lr: 1.0000e-02 eta: 1 day, 15:45:14 time: 0.4517 data_time: 0.0166 memory: 17087 grad_norm: 5.2406 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3532 loss: 1.3532 2022/08/04 03:28:25 - mmengine - INFO - Epoch(train) [80][1060/1879] lr: 1.0000e-02 eta: 1 day, 15:45:05 time: 0.4244 data_time: 0.0139 memory: 17087 grad_norm: 5.3393 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6232 loss: 1.6232 2022/08/04 03:28:34 - mmengine - INFO - Epoch(train) [80][1080/1879] lr: 1.0000e-02 eta: 1 day, 15:44:57 time: 0.4314 data_time: 0.0166 memory: 17087 grad_norm: 5.2484 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3581 loss: 1.3581 2022/08/04 03:28:42 - mmengine - INFO - Epoch(train) [80][1100/1879] lr: 1.0000e-02 eta: 1 day, 15:44:48 time: 0.4255 data_time: 0.0140 memory: 17087 grad_norm: 5.4155 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6159 loss: 1.6159 2022/08/04 03:28:51 - mmengine - INFO - Epoch(train) [80][1120/1879] lr: 1.0000e-02 eta: 1 day, 15:44:39 time: 0.4303 data_time: 0.0148 memory: 17087 grad_norm: 5.3718 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4723 loss: 1.4723 2022/08/04 03:28:59 - mmengine - INFO - Epoch(train) [80][1140/1879] lr: 1.0000e-02 eta: 1 day, 15:44:30 time: 0.4294 data_time: 0.0182 memory: 17087 grad_norm: 5.2497 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5495 loss: 1.5495 2022/08/04 03:29:08 - mmengine - INFO - Epoch(train) [80][1160/1879] lr: 1.0000e-02 eta: 1 day, 15:44:21 time: 0.4267 data_time: 0.0165 memory: 17087 grad_norm: 5.0637 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5203 loss: 1.5203 2022/08/04 03:29:17 - mmengine - INFO - Epoch(train) [80][1180/1879] lr: 1.0000e-02 eta: 1 day, 15:44:13 time: 0.4450 data_time: 0.0143 memory: 17087 grad_norm: 5.1829 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5803 loss: 1.5803 2022/08/04 03:29:25 - mmengine - INFO - Epoch(train) [80][1200/1879] lr: 1.0000e-02 eta: 1 day, 15:44:05 time: 0.4287 data_time: 0.0167 memory: 17087 grad_norm: 5.2755 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5438 loss: 1.5438 2022/08/04 03:29:34 - mmengine - INFO - Epoch(train) [80][1220/1879] lr: 1.0000e-02 eta: 1 day, 15:43:56 time: 0.4402 data_time: 0.0152 memory: 17087 grad_norm: 5.2839 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7216 loss: 1.7216 2022/08/04 03:29:43 - mmengine - INFO - Epoch(train) [80][1240/1879] lr: 1.0000e-02 eta: 1 day, 15:43:48 time: 0.4289 data_time: 0.0179 memory: 17087 grad_norm: 5.3883 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4839 loss: 1.4839 2022/08/04 03:29:52 - mmengine - INFO - Epoch(train) [80][1260/1879] lr: 1.0000e-02 eta: 1 day, 15:43:40 time: 0.4519 data_time: 0.0155 memory: 17087 grad_norm: 5.1748 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6370 loss: 1.6370 2022/08/04 03:30:00 - mmengine - INFO - Epoch(train) [80][1280/1879] lr: 1.0000e-02 eta: 1 day, 15:43:31 time: 0.4290 data_time: 0.0167 memory: 17087 grad_norm: 5.2416 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5422 loss: 1.5422 2022/08/04 03:30:09 - mmengine - INFO - Epoch(train) [80][1300/1879] lr: 1.0000e-02 eta: 1 day, 15:43:23 time: 0.4324 data_time: 0.0147 memory: 17087 grad_norm: 5.2747 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4654 loss: 1.4654 2022/08/04 03:30:18 - mmengine - INFO - Epoch(train) [80][1320/1879] lr: 1.0000e-02 eta: 1 day, 15:43:15 time: 0.4466 data_time: 0.0163 memory: 17087 grad_norm: 5.3738 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6608 loss: 1.6608 2022/08/04 03:30:27 - mmengine - INFO - Epoch(train) [80][1340/1879] lr: 1.0000e-02 eta: 1 day, 15:43:06 time: 0.4248 data_time: 0.0136 memory: 17087 grad_norm: 5.1657 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3786 loss: 1.3786 2022/08/04 03:30:35 - mmengine - INFO - Epoch(train) [80][1360/1879] lr: 1.0000e-02 eta: 1 day, 15:42:57 time: 0.4313 data_time: 0.0170 memory: 17087 grad_norm: 5.1669 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6096 loss: 1.6096 2022/08/04 03:30:44 - mmengine - INFO - Epoch(train) [80][1380/1879] lr: 1.0000e-02 eta: 1 day, 15:42:48 time: 0.4245 data_time: 0.0158 memory: 17087 grad_norm: 5.1762 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4406 loss: 1.4406 2022/08/04 03:30:53 - mmengine - INFO - Epoch(train) [80][1400/1879] lr: 1.0000e-02 eta: 1 day, 15:42:40 time: 0.4545 data_time: 0.0174 memory: 17087 grad_norm: 5.2210 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5433 loss: 1.5433 2022/08/04 03:31:01 - mmengine - INFO - Epoch(train) [80][1420/1879] lr: 1.0000e-02 eta: 1 day, 15:42:32 time: 0.4258 data_time: 0.0132 memory: 17087 grad_norm: 5.1357 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6429 loss: 1.6429 2022/08/04 03:31:10 - mmengine - INFO - Epoch(train) [80][1440/1879] lr: 1.0000e-02 eta: 1 day, 15:42:23 time: 0.4334 data_time: 0.0156 memory: 17087 grad_norm: 5.2580 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5072 loss: 1.5072 2022/08/04 03:31:19 - mmengine - INFO - Epoch(train) [80][1460/1879] lr: 1.0000e-02 eta: 1 day, 15:42:14 time: 0.4253 data_time: 0.0147 memory: 17087 grad_norm: 5.3262 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4937 loss: 1.4937 2022/08/04 03:31:27 - mmengine - INFO - Epoch(train) [80][1480/1879] lr: 1.0000e-02 eta: 1 day, 15:42:06 time: 0.4379 data_time: 0.0167 memory: 17087 grad_norm: 5.4219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4941 loss: 1.4941 2022/08/04 03:31:36 - mmengine - INFO - Epoch(train) [80][1500/1879] lr: 1.0000e-02 eta: 1 day, 15:41:57 time: 0.4254 data_time: 0.0160 memory: 17087 grad_norm: 5.4662 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6410 loss: 1.6410 2022/08/04 03:31:45 - mmengine - INFO - Epoch(train) [80][1520/1879] lr: 1.0000e-02 eta: 1 day, 15:41:49 time: 0.4555 data_time: 0.0219 memory: 17087 grad_norm: 5.2499 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4098 loss: 1.4098 2022/08/04 03:31:54 - mmengine - INFO - Epoch(train) [80][1540/1879] lr: 1.0000e-02 eta: 1 day, 15:41:40 time: 0.4255 data_time: 0.0136 memory: 17087 grad_norm: 5.3481 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3622 loss: 1.3622 2022/08/04 03:32:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 03:32:03 - mmengine - INFO - Epoch(train) [80][1560/1879] lr: 1.0000e-02 eta: 1 day, 15:41:33 time: 0.4574 data_time: 0.0207 memory: 17087 grad_norm: 5.2361 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5908 loss: 1.5908 2022/08/04 03:32:11 - mmengine - INFO - Epoch(train) [80][1580/1879] lr: 1.0000e-02 eta: 1 day, 15:41:24 time: 0.4297 data_time: 0.0188 memory: 17087 grad_norm: 5.1527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3500 loss: 1.3500 2022/08/04 03:32:20 - mmengine - INFO - Epoch(train) [80][1600/1879] lr: 1.0000e-02 eta: 1 day, 15:41:15 time: 0.4263 data_time: 0.0151 memory: 17087 grad_norm: 5.3264 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6428 loss: 1.6428 2022/08/04 03:32:28 - mmengine - INFO - Epoch(train) [80][1620/1879] lr: 1.0000e-02 eta: 1 day, 15:41:06 time: 0.4266 data_time: 0.0142 memory: 17087 grad_norm: 5.1858 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4184 loss: 1.4184 2022/08/04 03:32:37 - mmengine - INFO - Epoch(train) [80][1640/1879] lr: 1.0000e-02 eta: 1 day, 15:40:58 time: 0.4278 data_time: 0.0186 memory: 17087 grad_norm: 5.3161 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6509 loss: 1.6509 2022/08/04 03:32:46 - mmengine - INFO - Epoch(train) [80][1660/1879] lr: 1.0000e-02 eta: 1 day, 15:40:50 time: 0.4553 data_time: 0.0156 memory: 17087 grad_norm: 5.2643 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4768 loss: 1.4768 2022/08/04 03:32:55 - mmengine - INFO - Epoch(train) [80][1680/1879] lr: 1.0000e-02 eta: 1 day, 15:40:41 time: 0.4320 data_time: 0.0159 memory: 17087 grad_norm: 5.3539 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6503 loss: 1.6503 2022/08/04 03:33:03 - mmengine - INFO - Epoch(train) [80][1700/1879] lr: 1.0000e-02 eta: 1 day, 15:40:33 time: 0.4320 data_time: 0.0148 memory: 17087 grad_norm: 5.2883 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5826 loss: 1.5826 2022/08/04 03:33:12 - mmengine - INFO - Epoch(train) [80][1720/1879] lr: 1.0000e-02 eta: 1 day, 15:40:24 time: 0.4285 data_time: 0.0172 memory: 17087 grad_norm: 5.2232 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5966 loss: 1.5966 2022/08/04 03:33:20 - mmengine - INFO - Epoch(train) [80][1740/1879] lr: 1.0000e-02 eta: 1 day, 15:40:15 time: 0.4266 data_time: 0.0138 memory: 17087 grad_norm: 5.2388 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5383 loss: 1.5383 2022/08/04 03:33:29 - mmengine - INFO - Epoch(train) [80][1760/1879] lr: 1.0000e-02 eta: 1 day, 15:40:06 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 5.0111 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4584 loss: 1.4584 2022/08/04 03:33:38 - mmengine - INFO - Epoch(train) [80][1780/1879] lr: 1.0000e-02 eta: 1 day, 15:39:57 time: 0.4278 data_time: 0.0167 memory: 17087 grad_norm: 5.1840 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6444 loss: 1.6444 2022/08/04 03:33:46 - mmengine - INFO - Epoch(train) [80][1800/1879] lr: 1.0000e-02 eta: 1 day, 15:39:49 time: 0.4280 data_time: 0.0169 memory: 17087 grad_norm: 5.2226 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6200 loss: 1.6200 2022/08/04 03:33:55 - mmengine - INFO - Epoch(train) [80][1820/1879] lr: 1.0000e-02 eta: 1 day, 15:39:40 time: 0.4285 data_time: 0.0158 memory: 17087 grad_norm: 5.4137 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7278 loss: 1.7278 2022/08/04 03:34:03 - mmengine - INFO - Epoch(train) [80][1840/1879] lr: 1.0000e-02 eta: 1 day, 15:39:32 time: 0.4379 data_time: 0.0171 memory: 17087 grad_norm: 5.2157 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3386 loss: 1.3386 2022/08/04 03:34:12 - mmengine - INFO - Epoch(train) [80][1860/1879] lr: 1.0000e-02 eta: 1 day, 15:39:23 time: 0.4276 data_time: 0.0150 memory: 17087 grad_norm: 5.2619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5959 loss: 1.5959 2022/08/04 03:34:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 03:34:20 - mmengine - INFO - Epoch(train) [80][1879/1879] lr: 1.0000e-02 eta: 1 day, 15:39:23 time: 0.4131 data_time: 0.0140 memory: 17087 grad_norm: 5.2667 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.4910 loss: 1.4910 2022/08/04 03:34:20 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/04 03:34:33 - mmengine - INFO - Epoch(val) [80][20/155] eta: 0:01:00 time: 0.4470 data_time: 0.2641 memory: 2821 2022/08/04 03:34:38 - mmengine - INFO - Epoch(val) [80][40/155] eta: 0:00:29 time: 0.2576 data_time: 0.0889 memory: 2821 2022/08/04 03:34:44 - mmengine - INFO - Epoch(val) [80][60/155] eta: 0:00:29 time: 0.3065 data_time: 0.1365 memory: 2821 2022/08/04 03:34:49 - mmengine - INFO - Epoch(val) [80][80/155] eta: 0:00:20 time: 0.2672 data_time: 0.1018 memory: 2821 2022/08/04 03:34:55 - mmengine - INFO - Epoch(val) [80][100/155] eta: 0:00:15 time: 0.2908 data_time: 0.1228 memory: 2821 2022/08/04 03:35:01 - mmengine - INFO - Epoch(val) [80][120/155] eta: 0:00:10 time: 0.2874 data_time: 0.1215 memory: 2821 2022/08/04 03:35:06 - mmengine - INFO - Epoch(val) [80][140/155] eta: 0:00:04 time: 0.2743 data_time: 0.1158 memory: 2821 2022/08/04 03:35:11 - mmengine - INFO - Epoch(val) [80][155/155] acc/top1: 0.6482 acc/top5: 0.8593 acc/mean1: 0.6481 2022/08/04 03:35:22 - mmengine - INFO - Epoch(train) [81][20/1879] lr: 1.0000e-02 eta: 1 day, 15:38:53 time: 0.5559 data_time: 0.1227 memory: 17087 grad_norm: 5.0233 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5066 loss: 1.5066 2022/08/04 03:35:31 - mmengine - INFO - Epoch(train) [81][40/1879] lr: 1.0000e-02 eta: 1 day, 15:38:45 time: 0.4374 data_time: 0.0218 memory: 17087 grad_norm: 5.1470 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5796 loss: 1.5796 2022/08/04 03:35:39 - mmengine - INFO - Epoch(train) [81][60/1879] lr: 1.0000e-02 eta: 1 day, 15:38:36 time: 0.4255 data_time: 0.0154 memory: 17087 grad_norm: 5.1163 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5155 loss: 1.5155 2022/08/04 03:35:48 - mmengine - INFO - Epoch(train) [81][80/1879] lr: 1.0000e-02 eta: 1 day, 15:38:27 time: 0.4288 data_time: 0.0165 memory: 17087 grad_norm: 5.0682 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5602 loss: 1.5602 2022/08/04 03:35:57 - mmengine - INFO - Epoch(train) [81][100/1879] lr: 1.0000e-02 eta: 1 day, 15:38:20 time: 0.4579 data_time: 0.0135 memory: 17087 grad_norm: 5.0596 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3555 loss: 1.3555 2022/08/04 03:36:06 - mmengine - INFO - Epoch(train) [81][120/1879] lr: 1.0000e-02 eta: 1 day, 15:38:11 time: 0.4318 data_time: 0.0224 memory: 17087 grad_norm: 5.1051 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4941 loss: 1.4941 2022/08/04 03:36:15 - mmengine - INFO - Epoch(train) [81][140/1879] lr: 1.0000e-02 eta: 1 day, 15:38:04 time: 0.4609 data_time: 0.0148 memory: 17087 grad_norm: 5.1564 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5184 loss: 1.5184 2022/08/04 03:36:24 - mmengine - INFO - Epoch(train) [81][160/1879] lr: 1.0000e-02 eta: 1 day, 15:37:55 time: 0.4289 data_time: 0.0166 memory: 17087 grad_norm: 5.2000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4418 loss: 1.4418 2022/08/04 03:36:32 - mmengine - INFO - Epoch(train) [81][180/1879] lr: 1.0000e-02 eta: 1 day, 15:37:47 time: 0.4373 data_time: 0.0193 memory: 17087 grad_norm: 5.2333 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5463 loss: 1.5463 2022/08/04 03:36:41 - mmengine - INFO - Epoch(train) [81][200/1879] lr: 1.0000e-02 eta: 1 day, 15:37:38 time: 0.4292 data_time: 0.0160 memory: 17087 grad_norm: 5.3680 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7244 loss: 1.7244 2022/08/04 03:36:50 - mmengine - INFO - Epoch(train) [81][220/1879] lr: 1.0000e-02 eta: 1 day, 15:37:29 time: 0.4331 data_time: 0.0146 memory: 17087 grad_norm: 5.1760 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5547 loss: 1.5547 2022/08/04 03:36:59 - mmengine - INFO - Epoch(train) [81][240/1879] lr: 1.0000e-02 eta: 1 day, 15:37:22 time: 0.4533 data_time: 0.0204 memory: 17087 grad_norm: 5.1578 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2385 loss: 1.2385 2022/08/04 03:37:07 - mmengine - INFO - Epoch(train) [81][260/1879] lr: 1.0000e-02 eta: 1 day, 15:37:13 time: 0.4240 data_time: 0.0146 memory: 17087 grad_norm: 5.4057 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5565 loss: 1.5565 2022/08/04 03:37:16 - mmengine - INFO - Epoch(train) [81][280/1879] lr: 1.0000e-02 eta: 1 day, 15:37:05 time: 0.4578 data_time: 0.0220 memory: 17087 grad_norm: 5.4399 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5768 loss: 1.5768 2022/08/04 03:37:25 - mmengine - INFO - Epoch(train) [81][300/1879] lr: 1.0000e-02 eta: 1 day, 15:36:56 time: 0.4282 data_time: 0.0144 memory: 17087 grad_norm: 5.2850 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4205 loss: 1.4205 2022/08/04 03:37:34 - mmengine - INFO - Epoch(train) [81][320/1879] lr: 1.0000e-02 eta: 1 day, 15:36:48 time: 0.4335 data_time: 0.0176 memory: 17087 grad_norm: 5.3259 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5478 loss: 1.5478 2022/08/04 03:37:42 - mmengine - INFO - Epoch(train) [81][340/1879] lr: 1.0000e-02 eta: 1 day, 15:36:39 time: 0.4249 data_time: 0.0135 memory: 17087 grad_norm: 5.1063 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3926 loss: 1.3926 2022/08/04 03:37:52 - mmengine - INFO - Epoch(train) [81][360/1879] lr: 1.0000e-02 eta: 1 day, 15:36:32 time: 0.4711 data_time: 0.0179 memory: 17087 grad_norm: 5.2862 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5569 loss: 1.5569 2022/08/04 03:38:00 - mmengine - INFO - Epoch(train) [81][380/1879] lr: 1.0000e-02 eta: 1 day, 15:36:23 time: 0.4263 data_time: 0.0147 memory: 17087 grad_norm: 5.1892 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6026 loss: 1.6026 2022/08/04 03:38:09 - mmengine - INFO - Epoch(train) [81][400/1879] lr: 1.0000e-02 eta: 1 day, 15:36:15 time: 0.4325 data_time: 0.0205 memory: 17087 grad_norm: 5.1048 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3968 loss: 1.3968 2022/08/04 03:38:18 - mmengine - INFO - Epoch(train) [81][420/1879] lr: 1.0000e-02 eta: 1 day, 15:36:07 time: 0.4489 data_time: 0.0141 memory: 17087 grad_norm: 5.2774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5789 loss: 1.5789 2022/08/04 03:38:26 - mmengine - INFO - Epoch(train) [81][440/1879] lr: 1.0000e-02 eta: 1 day, 15:35:58 time: 0.4271 data_time: 0.0158 memory: 17087 grad_norm: 5.1689 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5080 loss: 1.5080 2022/08/04 03:38:35 - mmengine - INFO - Epoch(train) [81][460/1879] lr: 1.0000e-02 eta: 1 day, 15:35:49 time: 0.4364 data_time: 0.0198 memory: 17087 grad_norm: 5.2086 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6724 loss: 1.6724 2022/08/04 03:38:44 - mmengine - INFO - Epoch(train) [81][480/1879] lr: 1.0000e-02 eta: 1 day, 15:35:41 time: 0.4273 data_time: 0.0180 memory: 17087 grad_norm: 4.9832 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3889 loss: 1.3889 2022/08/04 03:38:52 - mmengine - INFO - Epoch(train) [81][500/1879] lr: 1.0000e-02 eta: 1 day, 15:35:32 time: 0.4332 data_time: 0.0160 memory: 17087 grad_norm: 5.4562 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5095 loss: 1.5095 2022/08/04 03:39:01 - mmengine - INFO - Epoch(train) [81][520/1879] lr: 1.0000e-02 eta: 1 day, 15:35:23 time: 0.4263 data_time: 0.0155 memory: 17087 grad_norm: 5.2836 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5712 loss: 1.5712 2022/08/04 03:39:10 - mmengine - INFO - Epoch(train) [81][540/1879] lr: 1.0000e-02 eta: 1 day, 15:35:15 time: 0.4326 data_time: 0.0192 memory: 17087 grad_norm: 5.1215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5019 loss: 1.5019 2022/08/04 03:39:18 - mmengine - INFO - Epoch(train) [81][560/1879] lr: 1.0000e-02 eta: 1 day, 15:35:06 time: 0.4257 data_time: 0.0153 memory: 17087 grad_norm: 5.2003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4274 loss: 1.4274 2022/08/04 03:39:27 - mmengine - INFO - Epoch(train) [81][580/1879] lr: 1.0000e-02 eta: 1 day, 15:34:57 time: 0.4316 data_time: 0.0159 memory: 17087 grad_norm: 5.1512 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4822 loss: 1.4822 2022/08/04 03:39:35 - mmengine - INFO - Epoch(train) [81][600/1879] lr: 1.0000e-02 eta: 1 day, 15:34:48 time: 0.4289 data_time: 0.0175 memory: 17087 grad_norm: 5.1562 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6100 loss: 1.6100 2022/08/04 03:39:44 - mmengine - INFO - Epoch(train) [81][620/1879] lr: 1.0000e-02 eta: 1 day, 15:34:40 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 5.2862 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4606 loss: 1.4606 2022/08/04 03:39:53 - mmengine - INFO - Epoch(train) [81][640/1879] lr: 1.0000e-02 eta: 1 day, 15:34:31 time: 0.4286 data_time: 0.0166 memory: 17087 grad_norm: 5.3619 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.6139 loss: 1.6139 2022/08/04 03:40:01 - mmengine - INFO - Epoch(train) [81][660/1879] lr: 1.0000e-02 eta: 1 day, 15:34:22 time: 0.4264 data_time: 0.0136 memory: 17087 grad_norm: 5.2655 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4480 loss: 1.4480 2022/08/04 03:40:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 03:40:10 - mmengine - INFO - Epoch(train) [81][680/1879] lr: 1.0000e-02 eta: 1 day, 15:34:13 time: 0.4291 data_time: 0.0186 memory: 17087 grad_norm: 5.2980 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5042 loss: 1.5042 2022/08/04 03:40:18 - mmengine - INFO - Epoch(train) [81][700/1879] lr: 1.0000e-02 eta: 1 day, 15:34:04 time: 0.4263 data_time: 0.0141 memory: 17087 grad_norm: 5.4003 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5321 loss: 1.5321 2022/08/04 03:40:27 - mmengine - INFO - Epoch(train) [81][720/1879] lr: 1.0000e-02 eta: 1 day, 15:33:57 time: 0.4511 data_time: 0.0166 memory: 17087 grad_norm: 5.1814 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4190 loss: 1.4190 2022/08/04 03:40:36 - mmengine - INFO - Epoch(train) [81][740/1879] lr: 1.0000e-02 eta: 1 day, 15:33:48 time: 0.4258 data_time: 0.0152 memory: 17087 grad_norm: 5.1032 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4696 loss: 1.4696 2022/08/04 03:40:44 - mmengine - INFO - Epoch(train) [81][760/1879] lr: 1.0000e-02 eta: 1 day, 15:33:39 time: 0.4293 data_time: 0.0167 memory: 17087 grad_norm: 5.1954 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4768 loss: 1.4768 2022/08/04 03:40:53 - mmengine - INFO - Epoch(train) [81][780/1879] lr: 1.0000e-02 eta: 1 day, 15:33:30 time: 0.4296 data_time: 0.0157 memory: 17087 grad_norm: 5.1581 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2697 loss: 1.2697 2022/08/04 03:41:02 - mmengine - INFO - Epoch(train) [81][800/1879] lr: 1.0000e-02 eta: 1 day, 15:33:21 time: 0.4264 data_time: 0.0151 memory: 17087 grad_norm: 5.2765 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4977 loss: 1.4977 2022/08/04 03:41:10 - mmengine - INFO - Epoch(train) [81][820/1879] lr: 1.0000e-02 eta: 1 day, 15:33:13 time: 0.4304 data_time: 0.0191 memory: 17087 grad_norm: 5.4461 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6070 loss: 1.6070 2022/08/04 03:41:19 - mmengine - INFO - Epoch(train) [81][840/1879] lr: 1.0000e-02 eta: 1 day, 15:33:04 time: 0.4272 data_time: 0.0158 memory: 17087 grad_norm: 5.1316 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4556 loss: 1.4556 2022/08/04 03:41:27 - mmengine - INFO - Epoch(train) [81][860/1879] lr: 1.0000e-02 eta: 1 day, 15:32:55 time: 0.4281 data_time: 0.0180 memory: 17087 grad_norm: 5.1779 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6348 loss: 1.6348 2022/08/04 03:41:36 - mmengine - INFO - Epoch(train) [81][880/1879] lr: 1.0000e-02 eta: 1 day, 15:32:47 time: 0.4328 data_time: 0.0166 memory: 17087 grad_norm: 5.5118 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6418 loss: 1.6418 2022/08/04 03:41:45 - mmengine - INFO - Epoch(train) [81][900/1879] lr: 1.0000e-02 eta: 1 day, 15:32:38 time: 0.4296 data_time: 0.0145 memory: 17087 grad_norm: 5.5097 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6211 loss: 1.6211 2022/08/04 03:41:54 - mmengine - INFO - Epoch(train) [81][920/1879] lr: 1.0000e-02 eta: 1 day, 15:32:30 time: 0.4533 data_time: 0.0165 memory: 17087 grad_norm: 5.3327 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6296 loss: 1.6296 2022/08/04 03:42:02 - mmengine - INFO - Epoch(train) [81][940/1879] lr: 1.0000e-02 eta: 1 day, 15:32:21 time: 0.4264 data_time: 0.0133 memory: 17087 grad_norm: 5.5012 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5879 loss: 1.5879 2022/08/04 03:42:11 - mmengine - INFO - Epoch(train) [81][960/1879] lr: 1.0000e-02 eta: 1 day, 15:32:13 time: 0.4302 data_time: 0.0207 memory: 17087 grad_norm: 5.3493 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4892 loss: 1.4892 2022/08/04 03:42:19 - mmengine - INFO - Epoch(train) [81][980/1879] lr: 1.0000e-02 eta: 1 day, 15:32:04 time: 0.4260 data_time: 0.0142 memory: 17087 grad_norm: 5.2124 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4674 loss: 1.4674 2022/08/04 03:42:28 - mmengine - INFO - Epoch(train) [81][1000/1879] lr: 1.0000e-02 eta: 1 day, 15:31:55 time: 0.4275 data_time: 0.0155 memory: 17087 grad_norm: 4.9972 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5148 loss: 1.5148 2022/08/04 03:42:37 - mmengine - INFO - Epoch(train) [81][1020/1879] lr: 1.0000e-02 eta: 1 day, 15:31:47 time: 0.4524 data_time: 0.0152 memory: 17087 grad_norm: 5.1218 top1_acc: 0.3750 top5_acc: 0.5000 loss_cls: 1.5196 loss: 1.5196 2022/08/04 03:42:45 - mmengine - INFO - Epoch(train) [81][1040/1879] lr: 1.0000e-02 eta: 1 day, 15:31:38 time: 0.4276 data_time: 0.0165 memory: 17087 grad_norm: 5.1361 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4022 loss: 1.4022 2022/08/04 03:42:54 - mmengine - INFO - Epoch(train) [81][1060/1879] lr: 1.0000e-02 eta: 1 day, 15:31:30 time: 0.4402 data_time: 0.0153 memory: 17087 grad_norm: 5.2819 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4363 loss: 1.4363 2022/08/04 03:43:03 - mmengine - INFO - Epoch(train) [81][1080/1879] lr: 1.0000e-02 eta: 1 day, 15:31:21 time: 0.4304 data_time: 0.0158 memory: 17087 grad_norm: 5.1564 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5526 loss: 1.5526 2022/08/04 03:43:12 - mmengine - INFO - Epoch(train) [81][1100/1879] lr: 1.0000e-02 eta: 1 day, 15:31:13 time: 0.4362 data_time: 0.0137 memory: 17087 grad_norm: 5.1535 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4080 loss: 1.4080 2022/08/04 03:43:20 - mmengine - INFO - Epoch(train) [81][1120/1879] lr: 1.0000e-02 eta: 1 day, 15:31:05 time: 0.4343 data_time: 0.0177 memory: 17087 grad_norm: 5.1783 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4658 loss: 1.4658 2022/08/04 03:43:29 - mmengine - INFO - Epoch(train) [81][1140/1879] lr: 1.0000e-02 eta: 1 day, 15:30:56 time: 0.4248 data_time: 0.0135 memory: 17087 grad_norm: 5.1707 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4674 loss: 1.4674 2022/08/04 03:43:38 - mmengine - INFO - Epoch(train) [81][1160/1879] lr: 1.0000e-02 eta: 1 day, 15:30:48 time: 0.4516 data_time: 0.0176 memory: 17087 grad_norm: 5.1711 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3670 loss: 1.3670 2022/08/04 03:43:46 - mmengine - INFO - Epoch(train) [81][1180/1879] lr: 1.0000e-02 eta: 1 day, 15:30:39 time: 0.4242 data_time: 0.0142 memory: 17087 grad_norm: 5.3284 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5150 loss: 1.5150 2022/08/04 03:43:55 - mmengine - INFO - Epoch(train) [81][1200/1879] lr: 1.0000e-02 eta: 1 day, 15:30:31 time: 0.4552 data_time: 0.0183 memory: 17087 grad_norm: 5.3493 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.7134 loss: 1.7134 2022/08/04 03:44:04 - mmengine - INFO - Epoch(train) [81][1220/1879] lr: 1.0000e-02 eta: 1 day, 15:30:22 time: 0.4265 data_time: 0.0140 memory: 17087 grad_norm: 5.1011 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3706 loss: 1.3706 2022/08/04 03:44:13 - mmengine - INFO - Epoch(train) [81][1240/1879] lr: 1.0000e-02 eta: 1 day, 15:30:14 time: 0.4272 data_time: 0.0166 memory: 17087 grad_norm: 5.2269 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5418 loss: 1.5418 2022/08/04 03:44:21 - mmengine - INFO - Epoch(train) [81][1260/1879] lr: 1.0000e-02 eta: 1 day, 15:30:05 time: 0.4258 data_time: 0.0160 memory: 17087 grad_norm: 5.2702 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5542 loss: 1.5542 2022/08/04 03:44:30 - mmengine - INFO - Epoch(train) [81][1280/1879] lr: 1.0000e-02 eta: 1 day, 15:29:56 time: 0.4272 data_time: 0.0152 memory: 17087 grad_norm: 5.1137 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5992 loss: 1.5992 2022/08/04 03:44:38 - mmengine - INFO - Epoch(train) [81][1300/1879] lr: 1.0000e-02 eta: 1 day, 15:29:47 time: 0.4349 data_time: 0.0142 memory: 17087 grad_norm: 5.0767 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6319 loss: 1.6319 2022/08/04 03:44:47 - mmengine - INFO - Epoch(train) [81][1320/1879] lr: 1.0000e-02 eta: 1 day, 15:29:39 time: 0.4265 data_time: 0.0158 memory: 17087 grad_norm: 5.1665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4334 loss: 1.4334 2022/08/04 03:44:56 - mmengine - INFO - Epoch(train) [81][1340/1879] lr: 1.0000e-02 eta: 1 day, 15:29:30 time: 0.4436 data_time: 0.0158 memory: 17087 grad_norm: 5.4146 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4480 loss: 1.4480 2022/08/04 03:45:04 - mmengine - INFO - Epoch(train) [81][1360/1879] lr: 1.0000e-02 eta: 1 day, 15:29:22 time: 0.4267 data_time: 0.0162 memory: 17087 grad_norm: 5.2832 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5131 loss: 1.5131 2022/08/04 03:45:13 - mmengine - INFO - Epoch(train) [81][1380/1879] lr: 1.0000e-02 eta: 1 day, 15:29:13 time: 0.4428 data_time: 0.0159 memory: 17087 grad_norm: 5.2906 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4100 loss: 1.4100 2022/08/04 03:45:22 - mmengine - INFO - Epoch(train) [81][1400/1879] lr: 1.0000e-02 eta: 1 day, 15:29:05 time: 0.4286 data_time: 0.0172 memory: 17087 grad_norm: 5.1696 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5376 loss: 1.5376 2022/08/04 03:45:30 - mmengine - INFO - Epoch(train) [81][1420/1879] lr: 1.0000e-02 eta: 1 day, 15:28:56 time: 0.4266 data_time: 0.0167 memory: 17087 grad_norm: 5.2486 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6052 loss: 1.6052 2022/08/04 03:45:39 - mmengine - INFO - Epoch(train) [81][1440/1879] lr: 1.0000e-02 eta: 1 day, 15:28:47 time: 0.4330 data_time: 0.0185 memory: 17087 grad_norm: 5.1581 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3806 loss: 1.3806 2022/08/04 03:45:48 - mmengine - INFO - Epoch(train) [81][1460/1879] lr: 1.0000e-02 eta: 1 day, 15:28:38 time: 0.4264 data_time: 0.0121 memory: 17087 grad_norm: 5.1288 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5315 loss: 1.5315 2022/08/04 03:45:56 - mmengine - INFO - Epoch(train) [81][1480/1879] lr: 1.0000e-02 eta: 1 day, 15:28:30 time: 0.4304 data_time: 0.0175 memory: 17087 grad_norm: 5.2685 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6554 loss: 1.6554 2022/08/04 03:46:05 - mmengine - INFO - Epoch(train) [81][1500/1879] lr: 1.0000e-02 eta: 1 day, 15:28:21 time: 0.4260 data_time: 0.0148 memory: 17087 grad_norm: 5.4432 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.7782 loss: 1.7782 2022/08/04 03:46:14 - mmengine - INFO - Epoch(train) [81][1520/1879] lr: 1.0000e-02 eta: 1 day, 15:28:14 time: 0.4685 data_time: 0.0187 memory: 17087 grad_norm: 5.1645 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6060 loss: 1.6060 2022/08/04 03:46:23 - mmengine - INFO - Epoch(train) [81][1540/1879] lr: 1.0000e-02 eta: 1 day, 15:28:05 time: 0.4279 data_time: 0.0174 memory: 17087 grad_norm: 5.1256 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.3870 loss: 1.3870 2022/08/04 03:46:32 - mmengine - INFO - Epoch(train) [81][1560/1879] lr: 1.0000e-02 eta: 1 day, 15:27:57 time: 0.4559 data_time: 0.0171 memory: 17087 grad_norm: 5.4283 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3747 loss: 1.3747 2022/08/04 03:46:40 - mmengine - INFO - Epoch(train) [81][1580/1879] lr: 1.0000e-02 eta: 1 day, 15:27:48 time: 0.4254 data_time: 0.0139 memory: 17087 grad_norm: 5.3256 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5770 loss: 1.5770 2022/08/04 03:46:49 - mmengine - INFO - Epoch(train) [81][1600/1879] lr: 1.0000e-02 eta: 1 day, 15:27:40 time: 0.4371 data_time: 0.0228 memory: 17087 grad_norm: 5.1515 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5646 loss: 1.5646 2022/08/04 03:46:58 - mmengine - INFO - Epoch(train) [81][1620/1879] lr: 1.0000e-02 eta: 1 day, 15:27:31 time: 0.4270 data_time: 0.0146 memory: 17087 grad_norm: 5.1734 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3713 loss: 1.3713 2022/08/04 03:47:07 - mmengine - INFO - Epoch(train) [81][1640/1879] lr: 1.0000e-02 eta: 1 day, 15:27:24 time: 0.4678 data_time: 0.0171 memory: 17087 grad_norm: 5.1856 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5336 loss: 1.5336 2022/08/04 03:47:15 - mmengine - INFO - Epoch(train) [81][1660/1879] lr: 1.0000e-02 eta: 1 day, 15:27:15 time: 0.4261 data_time: 0.0153 memory: 17087 grad_norm: 5.2784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4024 loss: 1.4024 2022/08/04 03:47:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 03:47:24 - mmengine - INFO - Epoch(train) [81][1680/1879] lr: 1.0000e-02 eta: 1 day, 15:27:07 time: 0.4310 data_time: 0.0179 memory: 17087 grad_norm: 5.0808 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3311 loss: 1.3311 2022/08/04 03:47:33 - mmengine - INFO - Epoch(train) [81][1700/1879] lr: 1.0000e-02 eta: 1 day, 15:26:58 time: 0.4306 data_time: 0.0144 memory: 17087 grad_norm: 5.2814 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.3552 loss: 1.3552 2022/08/04 03:47:41 - mmengine - INFO - Epoch(train) [81][1720/1879] lr: 1.0000e-02 eta: 1 day, 15:26:49 time: 0.4266 data_time: 0.0168 memory: 17087 grad_norm: 5.2046 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5648 loss: 1.5648 2022/08/04 03:47:50 - mmengine - INFO - Epoch(train) [81][1740/1879] lr: 1.0000e-02 eta: 1 day, 15:26:40 time: 0.4257 data_time: 0.0140 memory: 17087 grad_norm: 5.2043 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4529 loss: 1.4529 2022/08/04 03:47:59 - mmengine - INFO - Epoch(train) [81][1760/1879] lr: 1.0000e-02 eta: 1 day, 15:26:32 time: 0.4376 data_time: 0.0165 memory: 17087 grad_norm: 5.3030 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4782 loss: 1.4782 2022/08/04 03:48:07 - mmengine - INFO - Epoch(train) [81][1780/1879] lr: 1.0000e-02 eta: 1 day, 15:26:24 time: 0.4442 data_time: 0.0134 memory: 17087 grad_norm: 5.3626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4179 loss: 1.4179 2022/08/04 03:48:16 - mmengine - INFO - Epoch(train) [81][1800/1879] lr: 1.0000e-02 eta: 1 day, 15:26:15 time: 0.4269 data_time: 0.0165 memory: 17087 grad_norm: 5.2240 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5582 loss: 1.5582 2022/08/04 03:48:25 - mmengine - INFO - Epoch(train) [81][1820/1879] lr: 1.0000e-02 eta: 1 day, 15:26:07 time: 0.4570 data_time: 0.0153 memory: 17087 grad_norm: 5.3152 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3477 loss: 1.3477 2022/08/04 03:48:34 - mmengine - INFO - Epoch(train) [81][1840/1879] lr: 1.0000e-02 eta: 1 day, 15:25:59 time: 0.4275 data_time: 0.0160 memory: 17087 grad_norm: 5.3121 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3807 loss: 1.3807 2022/08/04 03:48:43 - mmengine - INFO - Epoch(train) [81][1860/1879] lr: 1.0000e-02 eta: 1 day, 15:25:51 time: 0.4629 data_time: 0.0155 memory: 17087 grad_norm: 5.1424 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6712 loss: 1.6712 2022/08/04 03:48:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 03:48:51 - mmengine - INFO - Epoch(train) [81][1879/1879] lr: 1.0000e-02 eta: 1 day, 15:25:51 time: 0.4070 data_time: 0.0145 memory: 17087 grad_norm: 5.3083 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.4725 loss: 1.4725 2022/08/04 03:49:02 - mmengine - INFO - Epoch(train) [82][20/1879] lr: 1.0000e-02 eta: 1 day, 15:25:23 time: 0.5778 data_time: 0.1195 memory: 17087 grad_norm: 5.1330 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3728 loss: 1.3728 2022/08/04 03:49:11 - mmengine - INFO - Epoch(train) [82][40/1879] lr: 1.0000e-02 eta: 1 day, 15:25:14 time: 0.4280 data_time: 0.0156 memory: 17087 grad_norm: 5.1365 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4179 loss: 1.4179 2022/08/04 03:49:19 - mmengine - INFO - Epoch(train) [82][60/1879] lr: 1.0000e-02 eta: 1 day, 15:25:05 time: 0.4272 data_time: 0.0145 memory: 17087 grad_norm: 5.3592 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3397 loss: 1.3397 2022/08/04 03:49:28 - mmengine - INFO - Epoch(train) [82][80/1879] lr: 1.0000e-02 eta: 1 day, 15:24:57 time: 0.4360 data_time: 0.0162 memory: 17087 grad_norm: 5.2259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6243 loss: 1.6243 2022/08/04 03:49:37 - mmengine - INFO - Epoch(train) [82][100/1879] lr: 1.0000e-02 eta: 1 day, 15:24:48 time: 0.4270 data_time: 0.0139 memory: 17087 grad_norm: 5.1834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5362 loss: 1.5362 2022/08/04 03:49:46 - mmengine - INFO - Epoch(train) [82][120/1879] lr: 1.0000e-02 eta: 1 day, 15:24:41 time: 0.4626 data_time: 0.0211 memory: 17087 grad_norm: 5.1593 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3878 loss: 1.3878 2022/08/04 03:49:55 - mmengine - INFO - Epoch(train) [82][140/1879] lr: 1.0000e-02 eta: 1 day, 15:24:32 time: 0.4273 data_time: 0.0141 memory: 17087 grad_norm: 5.2155 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6131 loss: 1.6131 2022/08/04 03:50:04 - mmengine - INFO - Epoch(train) [82][160/1879] lr: 1.0000e-02 eta: 1 day, 15:24:25 time: 0.4611 data_time: 0.0220 memory: 17087 grad_norm: 5.3685 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5958 loss: 1.5958 2022/08/04 03:50:12 - mmengine - INFO - Epoch(train) [82][180/1879] lr: 1.0000e-02 eta: 1 day, 15:24:16 time: 0.4285 data_time: 0.0140 memory: 17087 grad_norm: 5.2271 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4087 loss: 1.4087 2022/08/04 03:50:21 - mmengine - INFO - Epoch(train) [82][200/1879] lr: 1.0000e-02 eta: 1 day, 15:24:07 time: 0.4328 data_time: 0.0197 memory: 17087 grad_norm: 5.3294 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3958 loss: 1.3958 2022/08/04 03:50:30 - mmengine - INFO - Epoch(train) [82][220/1879] lr: 1.0000e-02 eta: 1 day, 15:23:59 time: 0.4314 data_time: 0.0128 memory: 17087 grad_norm: 5.3503 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4168 loss: 1.4168 2022/08/04 03:50:38 - mmengine - INFO - Epoch(train) [82][240/1879] lr: 1.0000e-02 eta: 1 day, 15:23:50 time: 0.4271 data_time: 0.0161 memory: 17087 grad_norm: 5.0283 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2315 loss: 1.2315 2022/08/04 03:50:47 - mmengine - INFO - Epoch(train) [82][260/1879] lr: 1.0000e-02 eta: 1 day, 15:23:41 time: 0.4323 data_time: 0.0156 memory: 17087 grad_norm: 5.4209 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5984 loss: 1.5984 2022/08/04 03:50:55 - mmengine - INFO - Epoch(train) [82][280/1879] lr: 1.0000e-02 eta: 1 day, 15:23:33 time: 0.4297 data_time: 0.0155 memory: 17087 grad_norm: 5.1833 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6444 loss: 1.6444 2022/08/04 03:51:05 - mmengine - INFO - Epoch(train) [82][300/1879] lr: 1.0000e-02 eta: 1 day, 15:23:25 time: 0.4600 data_time: 0.0153 memory: 17087 grad_norm: 5.1582 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5788 loss: 1.5788 2022/08/04 03:51:13 - mmengine - INFO - Epoch(train) [82][320/1879] lr: 1.0000e-02 eta: 1 day, 15:23:16 time: 0.4269 data_time: 0.0161 memory: 17087 grad_norm: 5.2408 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.7009 loss: 1.7009 2022/08/04 03:51:23 - mmengine - INFO - Epoch(train) [82][340/1879] lr: 1.0000e-02 eta: 1 day, 15:23:09 time: 0.4703 data_time: 0.0222 memory: 17087 grad_norm: 5.3088 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5900 loss: 1.5900 2022/08/04 03:51:31 - mmengine - INFO - Epoch(train) [82][360/1879] lr: 1.0000e-02 eta: 1 day, 15:23:00 time: 0.4268 data_time: 0.0154 memory: 17087 grad_norm: 5.3195 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4883 loss: 1.4883 2022/08/04 03:51:40 - mmengine - INFO - Epoch(train) [82][380/1879] lr: 1.0000e-02 eta: 1 day, 15:22:52 time: 0.4310 data_time: 0.0187 memory: 17087 grad_norm: 5.1740 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3839 loss: 1.3839 2022/08/04 03:51:49 - mmengine - INFO - Epoch(train) [82][400/1879] lr: 1.0000e-02 eta: 1 day, 15:22:44 time: 0.4473 data_time: 0.0163 memory: 17087 grad_norm: 5.2365 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5585 loss: 1.5585 2022/08/04 03:51:57 - mmengine - INFO - Epoch(train) [82][420/1879] lr: 1.0000e-02 eta: 1 day, 15:22:35 time: 0.4248 data_time: 0.0141 memory: 17087 grad_norm: 5.3216 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6140 loss: 1.6140 2022/08/04 03:52:07 - mmengine - INFO - Epoch(train) [82][440/1879] lr: 1.0000e-02 eta: 1 day, 15:22:28 time: 0.4711 data_time: 0.0219 memory: 17087 grad_norm: 5.2479 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2340 loss: 1.2340 2022/08/04 03:52:15 - mmengine - INFO - Epoch(train) [82][460/1879] lr: 1.0000e-02 eta: 1 day, 15:22:19 time: 0.4262 data_time: 0.0157 memory: 17087 grad_norm: 5.3570 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4326 loss: 1.4326 2022/08/04 03:52:24 - mmengine - INFO - Epoch(train) [82][480/1879] lr: 1.0000e-02 eta: 1 day, 15:22:12 time: 0.4623 data_time: 0.0217 memory: 17087 grad_norm: 5.0353 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4866 loss: 1.4866 2022/08/04 03:52:33 - mmengine - INFO - Epoch(train) [82][500/1879] lr: 1.0000e-02 eta: 1 day, 15:22:03 time: 0.4275 data_time: 0.0143 memory: 17087 grad_norm: 5.2730 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5223 loss: 1.5223 2022/08/04 03:52:42 - mmengine - INFO - Epoch(train) [82][520/1879] lr: 1.0000e-02 eta: 1 day, 15:21:55 time: 0.4489 data_time: 0.0219 memory: 17087 grad_norm: 5.3647 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7632 loss: 1.7632 2022/08/04 03:52:51 - mmengine - INFO - Epoch(train) [82][540/1879] lr: 1.0000e-02 eta: 1 day, 15:21:46 time: 0.4250 data_time: 0.0138 memory: 17087 grad_norm: 5.1466 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4711 loss: 1.4711 2022/08/04 03:52:59 - mmengine - INFO - Epoch(train) [82][560/1879] lr: 1.0000e-02 eta: 1 day, 15:21:38 time: 0.4460 data_time: 0.0168 memory: 17087 grad_norm: 5.1302 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4033 loss: 1.4033 2022/08/04 03:53:08 - mmengine - INFO - Epoch(train) [82][580/1879] lr: 1.0000e-02 eta: 1 day, 15:21:29 time: 0.4266 data_time: 0.0138 memory: 17087 grad_norm: 5.2168 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6642 loss: 1.6642 2022/08/04 03:53:17 - mmengine - INFO - Epoch(train) [82][600/1879] lr: 1.0000e-02 eta: 1 day, 15:21:22 time: 0.4522 data_time: 0.0167 memory: 17087 grad_norm: 5.3232 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4047 loss: 1.4047 2022/08/04 03:53:26 - mmengine - INFO - Epoch(train) [82][620/1879] lr: 1.0000e-02 eta: 1 day, 15:21:13 time: 0.4252 data_time: 0.0143 memory: 17087 grad_norm: 5.2285 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3723 loss: 1.3723 2022/08/04 03:53:34 - mmengine - INFO - Epoch(train) [82][640/1879] lr: 1.0000e-02 eta: 1 day, 15:21:05 time: 0.4440 data_time: 0.0175 memory: 17087 grad_norm: 5.3975 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4677 loss: 1.4677 2022/08/04 03:53:43 - mmengine - INFO - Epoch(train) [82][660/1879] lr: 1.0000e-02 eta: 1 day, 15:20:56 time: 0.4268 data_time: 0.0148 memory: 17087 grad_norm: 5.2123 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4131 loss: 1.4131 2022/08/04 03:53:52 - mmengine - INFO - Epoch(train) [82][680/1879] lr: 1.0000e-02 eta: 1 day, 15:20:47 time: 0.4346 data_time: 0.0156 memory: 17087 grad_norm: 5.4377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7905 loss: 1.7905 2022/08/04 03:54:00 - mmengine - INFO - Epoch(train) [82][700/1879] lr: 1.0000e-02 eta: 1 day, 15:20:38 time: 0.4236 data_time: 0.0143 memory: 17087 grad_norm: 5.3732 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5105 loss: 1.5105 2022/08/04 03:54:09 - mmengine - INFO - Epoch(train) [82][720/1879] lr: 1.0000e-02 eta: 1 day, 15:20:29 time: 0.4292 data_time: 0.0167 memory: 17087 grad_norm: 5.3376 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4604 loss: 1.4604 2022/08/04 03:54:17 - mmengine - INFO - Epoch(train) [82][740/1879] lr: 1.0000e-02 eta: 1 day, 15:20:21 time: 0.4288 data_time: 0.0139 memory: 17087 grad_norm: 5.2684 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5743 loss: 1.5743 2022/08/04 03:54:26 - mmengine - INFO - Epoch(train) [82][760/1879] lr: 1.0000e-02 eta: 1 day, 15:20:12 time: 0.4274 data_time: 0.0147 memory: 17087 grad_norm: 5.3897 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5741 loss: 1.5741 2022/08/04 03:54:35 - mmengine - INFO - Epoch(train) [82][780/1879] lr: 1.0000e-02 eta: 1 day, 15:20:04 time: 0.4446 data_time: 0.0141 memory: 17087 grad_norm: 5.2409 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2688 loss: 1.2688 2022/08/04 03:54:43 - mmengine - INFO - Epoch(train) [82][800/1879] lr: 1.0000e-02 eta: 1 day, 15:19:55 time: 0.4295 data_time: 0.0156 memory: 17087 grad_norm: 5.1258 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4560 loss: 1.4560 2022/08/04 03:54:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 03:54:52 - mmengine - INFO - Epoch(train) [82][820/1879] lr: 1.0000e-02 eta: 1 day, 15:19:47 time: 0.4483 data_time: 0.0143 memory: 17087 grad_norm: 5.2678 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5070 loss: 1.5070 2022/08/04 03:55:01 - mmengine - INFO - Epoch(train) [82][840/1879] lr: 1.0000e-02 eta: 1 day, 15:19:38 time: 0.4264 data_time: 0.0163 memory: 17087 grad_norm: 5.2186 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5878 loss: 1.5878 2022/08/04 03:55:10 - mmengine - INFO - Epoch(train) [82][860/1879] lr: 1.0000e-02 eta: 1 day, 15:19:29 time: 0.4271 data_time: 0.0128 memory: 17087 grad_norm: 5.2452 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5825 loss: 1.5825 2022/08/04 03:55:18 - mmengine - INFO - Epoch(train) [82][880/1879] lr: 1.0000e-02 eta: 1 day, 15:19:21 time: 0.4394 data_time: 0.0170 memory: 17087 grad_norm: 5.2312 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3286 loss: 1.3286 2022/08/04 03:55:27 - mmengine - INFO - Epoch(train) [82][900/1879] lr: 1.0000e-02 eta: 1 day, 15:19:12 time: 0.4259 data_time: 0.0148 memory: 17087 grad_norm: 5.2928 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5787 loss: 1.5787 2022/08/04 03:55:36 - mmengine - INFO - Epoch(train) [82][920/1879] lr: 1.0000e-02 eta: 1 day, 15:19:04 time: 0.4324 data_time: 0.0167 memory: 17087 grad_norm: 5.1348 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7799 loss: 1.7799 2022/08/04 03:55:44 - mmengine - INFO - Epoch(train) [82][940/1879] lr: 1.0000e-02 eta: 1 day, 15:18:55 time: 0.4275 data_time: 0.0161 memory: 17087 grad_norm: 5.2307 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4814 loss: 1.4814 2022/08/04 03:55:53 - mmengine - INFO - Epoch(train) [82][960/1879] lr: 1.0000e-02 eta: 1 day, 15:18:46 time: 0.4311 data_time: 0.0167 memory: 17087 grad_norm: 5.4310 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3971 loss: 1.3971 2022/08/04 03:56:01 - mmengine - INFO - Epoch(train) [82][980/1879] lr: 1.0000e-02 eta: 1 day, 15:18:37 time: 0.4253 data_time: 0.0128 memory: 17087 grad_norm: 5.2644 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5715 loss: 1.5715 2022/08/04 03:56:10 - mmengine - INFO - Epoch(train) [82][1000/1879] lr: 1.0000e-02 eta: 1 day, 15:18:29 time: 0.4286 data_time: 0.0176 memory: 17087 grad_norm: 5.4079 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5525 loss: 1.5525 2022/08/04 03:56:19 - mmengine - INFO - Epoch(train) [82][1020/1879] lr: 1.0000e-02 eta: 1 day, 15:18:21 time: 0.4491 data_time: 0.0156 memory: 17087 grad_norm: 5.2877 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5842 loss: 1.5842 2022/08/04 03:56:27 - mmengine - INFO - Epoch(train) [82][1040/1879] lr: 1.0000e-02 eta: 1 day, 15:18:12 time: 0.4270 data_time: 0.0163 memory: 17087 grad_norm: 5.2419 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4018 loss: 1.4018 2022/08/04 03:56:36 - mmengine - INFO - Epoch(train) [82][1060/1879] lr: 1.0000e-02 eta: 1 day, 15:18:03 time: 0.4340 data_time: 0.0137 memory: 17087 grad_norm: 5.4226 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4728 loss: 1.4728 2022/08/04 03:56:45 - mmengine - INFO - Epoch(train) [82][1080/1879] lr: 1.0000e-02 eta: 1 day, 15:17:54 time: 0.4271 data_time: 0.0159 memory: 17087 grad_norm: 5.1357 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6012 loss: 1.6012 2022/08/04 03:56:54 - mmengine - INFO - Epoch(train) [82][1100/1879] lr: 1.0000e-02 eta: 1 day, 15:17:47 time: 0.4617 data_time: 0.0155 memory: 17087 grad_norm: 5.2874 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7331 loss: 1.7331 2022/08/04 03:57:02 - mmengine - INFO - Epoch(train) [82][1120/1879] lr: 1.0000e-02 eta: 1 day, 15:17:38 time: 0.4277 data_time: 0.0154 memory: 17087 grad_norm: 5.4291 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5516 loss: 1.5516 2022/08/04 03:57:11 - mmengine - INFO - Epoch(train) [82][1140/1879] lr: 1.0000e-02 eta: 1 day, 15:17:29 time: 0.4243 data_time: 0.0131 memory: 17087 grad_norm: 5.2720 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.6844 loss: 1.6844 2022/08/04 03:57:20 - mmengine - INFO - Epoch(train) [82][1160/1879] lr: 1.0000e-02 eta: 1 day, 15:17:21 time: 0.4422 data_time: 0.0166 memory: 17087 grad_norm: 4.9769 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.5381 loss: 1.5381 2022/08/04 03:57:28 - mmengine - INFO - Epoch(train) [82][1180/1879] lr: 1.0000e-02 eta: 1 day, 15:17:12 time: 0.4246 data_time: 0.0145 memory: 17087 grad_norm: 5.1330 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5260 loss: 1.5260 2022/08/04 03:57:37 - mmengine - INFO - Epoch(train) [82][1200/1879] lr: 1.0000e-02 eta: 1 day, 15:17:04 time: 0.4306 data_time: 0.0171 memory: 17087 grad_norm: 5.4575 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6587 loss: 1.6587 2022/08/04 03:57:46 - mmengine - INFO - Epoch(train) [82][1220/1879] lr: 1.0000e-02 eta: 1 day, 15:16:55 time: 0.4370 data_time: 0.0147 memory: 17087 grad_norm: 5.3602 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4898 loss: 1.4898 2022/08/04 03:57:54 - mmengine - INFO - Epoch(train) [82][1240/1879] lr: 1.0000e-02 eta: 1 day, 15:16:47 time: 0.4321 data_time: 0.0163 memory: 17087 grad_norm: 5.0147 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.7303 loss: 1.7303 2022/08/04 03:58:03 - mmengine - INFO - Epoch(train) [82][1260/1879] lr: 1.0000e-02 eta: 1 day, 15:16:39 time: 0.4543 data_time: 0.0165 memory: 17087 grad_norm: 5.3158 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4952 loss: 1.4952 2022/08/04 03:58:12 - mmengine - INFO - Epoch(train) [82][1280/1879] lr: 1.0000e-02 eta: 1 day, 15:16:30 time: 0.4257 data_time: 0.0169 memory: 17087 grad_norm: 5.1818 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4500 loss: 1.4500 2022/08/04 03:58:20 - mmengine - INFO - Epoch(train) [82][1300/1879] lr: 1.0000e-02 eta: 1 day, 15:16:21 time: 0.4253 data_time: 0.0121 memory: 17087 grad_norm: 5.1797 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5109 loss: 1.5109 2022/08/04 03:58:30 - mmengine - INFO - Epoch(train) [82][1320/1879] lr: 1.0000e-02 eta: 1 day, 15:16:13 time: 0.4547 data_time: 0.0172 memory: 17087 grad_norm: 5.1847 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6117 loss: 1.6117 2022/08/04 03:58:38 - mmengine - INFO - Epoch(train) [82][1340/1879] lr: 1.0000e-02 eta: 1 day, 15:16:05 time: 0.4260 data_time: 0.0138 memory: 17087 grad_norm: 5.1037 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5792 loss: 1.5792 2022/08/04 03:58:47 - mmengine - INFO - Epoch(train) [82][1360/1879] lr: 1.0000e-02 eta: 1 day, 15:15:56 time: 0.4406 data_time: 0.0206 memory: 17087 grad_norm: 5.1273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4916 loss: 1.4916 2022/08/04 03:58:55 - mmengine - INFO - Epoch(train) [82][1380/1879] lr: 1.0000e-02 eta: 1 day, 15:15:47 time: 0.4268 data_time: 0.0146 memory: 17087 grad_norm: 5.3951 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7059 loss: 1.7059 2022/08/04 03:59:04 - mmengine - INFO - Epoch(train) [82][1400/1879] lr: 1.0000e-02 eta: 1 day, 15:15:39 time: 0.4286 data_time: 0.0162 memory: 17087 grad_norm: 5.1362 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4968 loss: 1.4968 2022/08/04 03:59:13 - mmengine - INFO - Epoch(train) [82][1420/1879] lr: 1.0000e-02 eta: 1 day, 15:15:30 time: 0.4353 data_time: 0.0167 memory: 17087 grad_norm: 5.2228 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6484 loss: 1.6484 2022/08/04 03:59:21 - mmengine - INFO - Epoch(train) [82][1440/1879] lr: 1.0000e-02 eta: 1 day, 15:15:21 time: 0.4278 data_time: 0.0167 memory: 17087 grad_norm: 5.2304 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7516 loss: 1.7516 2022/08/04 03:59:30 - mmengine - INFO - Epoch(train) [82][1460/1879] lr: 1.0000e-02 eta: 1 day, 15:15:13 time: 0.4326 data_time: 0.0190 memory: 17087 grad_norm: 5.2446 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6745 loss: 1.6745 2022/08/04 03:59:39 - mmengine - INFO - Epoch(train) [82][1480/1879] lr: 1.0000e-02 eta: 1 day, 15:15:05 time: 0.4477 data_time: 0.0164 memory: 17087 grad_norm: 5.3509 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5185 loss: 1.5185 2022/08/04 03:59:48 - mmengine - INFO - Epoch(train) [82][1500/1879] lr: 1.0000e-02 eta: 1 day, 15:14:56 time: 0.4313 data_time: 0.0161 memory: 17087 grad_norm: 5.3875 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5715 loss: 1.5715 2022/08/04 03:59:56 - mmengine - INFO - Epoch(train) [82][1520/1879] lr: 1.0000e-02 eta: 1 day, 15:14:48 time: 0.4446 data_time: 0.0151 memory: 17087 grad_norm: 5.1742 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5383 loss: 1.5383 2022/08/04 04:00:05 - mmengine - INFO - Epoch(train) [82][1540/1879] lr: 1.0000e-02 eta: 1 day, 15:14:40 time: 0.4395 data_time: 0.0227 memory: 17087 grad_norm: 5.2538 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5785 loss: 1.5785 2022/08/04 04:00:14 - mmengine - INFO - Epoch(train) [82][1560/1879] lr: 1.0000e-02 eta: 1 day, 15:14:31 time: 0.4255 data_time: 0.0152 memory: 17087 grad_norm: 5.2240 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5086 loss: 1.5086 2022/08/04 04:00:23 - mmengine - INFO - Epoch(train) [82][1580/1879] lr: 1.0000e-02 eta: 1 day, 15:14:23 time: 0.4582 data_time: 0.0173 memory: 17087 grad_norm: 5.0420 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6095 loss: 1.6095 2022/08/04 04:00:31 - mmengine - INFO - Epoch(train) [82][1600/1879] lr: 1.0000e-02 eta: 1 day, 15:14:15 time: 0.4262 data_time: 0.0159 memory: 17087 grad_norm: 5.0625 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4925 loss: 1.4925 2022/08/04 04:00:40 - mmengine - INFO - Epoch(train) [82][1620/1879] lr: 1.0000e-02 eta: 1 day, 15:14:06 time: 0.4263 data_time: 0.0139 memory: 17087 grad_norm: 5.3602 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5065 loss: 1.5065 2022/08/04 04:00:49 - mmengine - INFO - Epoch(train) [82][1640/1879] lr: 1.0000e-02 eta: 1 day, 15:13:58 time: 0.4547 data_time: 0.0206 memory: 17087 grad_norm: 5.4522 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5056 loss: 1.5056 2022/08/04 04:00:58 - mmengine - INFO - Epoch(train) [82][1660/1879] lr: 1.0000e-02 eta: 1 day, 15:13:49 time: 0.4254 data_time: 0.0135 memory: 17087 grad_norm: 5.1921 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5596 loss: 1.5596 2022/08/04 04:01:06 - mmengine - INFO - Epoch(train) [82][1680/1879] lr: 1.0000e-02 eta: 1 day, 15:13:41 time: 0.4381 data_time: 0.0223 memory: 17087 grad_norm: 5.2552 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6412 loss: 1.6412 2022/08/04 04:01:15 - mmengine - INFO - Epoch(train) [82][1700/1879] lr: 1.0000e-02 eta: 1 day, 15:13:32 time: 0.4257 data_time: 0.0137 memory: 17087 grad_norm: 5.1943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3926 loss: 1.3926 2022/08/04 04:01:24 - mmengine - INFO - Epoch(train) [82][1720/1879] lr: 1.0000e-02 eta: 1 day, 15:13:23 time: 0.4341 data_time: 0.0182 memory: 17087 grad_norm: 5.2081 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4521 loss: 1.4521 2022/08/04 04:01:32 - mmengine - INFO - Epoch(train) [82][1740/1879] lr: 1.0000e-02 eta: 1 day, 15:13:15 time: 0.4265 data_time: 0.0164 memory: 17087 grad_norm: 5.2813 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4816 loss: 1.4816 2022/08/04 04:01:41 - mmengine - INFO - Epoch(train) [82][1760/1879] lr: 1.0000e-02 eta: 1 day, 15:13:06 time: 0.4321 data_time: 0.0204 memory: 17087 grad_norm: 5.3464 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6474 loss: 1.6474 2022/08/04 04:01:50 - mmengine - INFO - Epoch(train) [82][1780/1879] lr: 1.0000e-02 eta: 1 day, 15:12:58 time: 0.4382 data_time: 0.0153 memory: 17087 grad_norm: 5.2741 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4803 loss: 1.4803 2022/08/04 04:01:58 - mmengine - INFO - Epoch(train) [82][1800/1879] lr: 1.0000e-02 eta: 1 day, 15:12:49 time: 0.4276 data_time: 0.0164 memory: 17087 grad_norm: 5.2466 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5712 loss: 1.5712 2022/08/04 04:01:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 04:02:07 - mmengine - INFO - Epoch(train) [82][1820/1879] lr: 1.0000e-02 eta: 1 day, 15:12:40 time: 0.4362 data_time: 0.0201 memory: 17087 grad_norm: 5.3322 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5344 loss: 1.5344 2022/08/04 04:02:15 - mmengine - INFO - Epoch(train) [82][1840/1879] lr: 1.0000e-02 eta: 1 day, 15:12:31 time: 0.4252 data_time: 0.0153 memory: 17087 grad_norm: 5.3284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4634 loss: 1.4634 2022/08/04 04:02:24 - mmengine - INFO - Epoch(train) [82][1860/1879] lr: 1.0000e-02 eta: 1 day, 15:12:23 time: 0.4316 data_time: 0.0152 memory: 17087 grad_norm: 5.2600 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4915 loss: 1.4915 2022/08/04 04:02:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 04:02:32 - mmengine - INFO - Epoch(train) [82][1879/1879] lr: 1.0000e-02 eta: 1 day, 15:12:23 time: 0.4086 data_time: 0.0154 memory: 17087 grad_norm: 5.3111 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.6936 loss: 1.6936 2022/08/04 04:02:44 - mmengine - INFO - Epoch(train) [83][20/1879] lr: 1.0000e-02 eta: 1 day, 15:11:55 time: 0.5842 data_time: 0.1183 memory: 17087 grad_norm: 5.0949 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4557 loss: 1.4557 2022/08/04 04:02:52 - mmengine - INFO - Epoch(train) [83][40/1879] lr: 1.0000e-02 eta: 1 day, 15:11:46 time: 0.4266 data_time: 0.0163 memory: 17087 grad_norm: 5.4001 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6349 loss: 1.6349 2022/08/04 04:03:01 - mmengine - INFO - Epoch(train) [83][60/1879] lr: 1.0000e-02 eta: 1 day, 15:11:37 time: 0.4309 data_time: 0.0147 memory: 17087 grad_norm: 5.3130 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4242 loss: 1.4242 2022/08/04 04:03:09 - mmengine - INFO - Epoch(train) [83][80/1879] lr: 1.0000e-02 eta: 1 day, 15:11:29 time: 0.4303 data_time: 0.0187 memory: 17087 grad_norm: 5.1935 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5230 loss: 1.5230 2022/08/04 04:03:18 - mmengine - INFO - Epoch(train) [83][100/1879] lr: 1.0000e-02 eta: 1 day, 15:11:20 time: 0.4323 data_time: 0.0152 memory: 17087 grad_norm: 5.3655 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4223 loss: 1.4223 2022/08/04 04:03:27 - mmengine - INFO - Epoch(train) [83][120/1879] lr: 1.0000e-02 eta: 1 day, 15:11:11 time: 0.4290 data_time: 0.0161 memory: 17087 grad_norm: 5.1547 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5666 loss: 1.5666 2022/08/04 04:03:36 - mmengine - INFO - Epoch(train) [83][140/1879] lr: 1.0000e-02 eta: 1 day, 15:11:04 time: 0.4648 data_time: 0.0164 memory: 17087 grad_norm: 5.0453 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 1.5004 loss: 1.5004 2022/08/04 04:03:44 - mmengine - INFO - Epoch(train) [83][160/1879] lr: 1.0000e-02 eta: 1 day, 15:10:55 time: 0.4256 data_time: 0.0168 memory: 17087 grad_norm: 5.3626 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4434 loss: 1.4434 2022/08/04 04:03:53 - mmengine - INFO - Epoch(train) [83][180/1879] lr: 1.0000e-02 eta: 1 day, 15:10:47 time: 0.4300 data_time: 0.0146 memory: 17087 grad_norm: 5.2770 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5694 loss: 1.5694 2022/08/04 04:04:02 - mmengine - INFO - Epoch(train) [83][200/1879] lr: 1.0000e-02 eta: 1 day, 15:10:38 time: 0.4271 data_time: 0.0156 memory: 17087 grad_norm: 5.1691 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4505 loss: 1.4505 2022/08/04 04:04:10 - mmengine - INFO - Epoch(train) [83][220/1879] lr: 1.0000e-02 eta: 1 day, 15:10:29 time: 0.4243 data_time: 0.0144 memory: 17087 grad_norm: 5.1387 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3632 loss: 1.3632 2022/08/04 04:04:19 - mmengine - INFO - Epoch(train) [83][240/1879] lr: 1.0000e-02 eta: 1 day, 15:10:22 time: 0.4699 data_time: 0.0196 memory: 17087 grad_norm: 5.2261 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5299 loss: 1.5299 2022/08/04 04:04:28 - mmengine - INFO - Epoch(train) [83][260/1879] lr: 1.0000e-02 eta: 1 day, 15:10:13 time: 0.4265 data_time: 0.0143 memory: 17087 grad_norm: 5.1850 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6167 loss: 1.6167 2022/08/04 04:04:37 - mmengine - INFO - Epoch(train) [83][280/1879] lr: 1.0000e-02 eta: 1 day, 15:10:05 time: 0.4536 data_time: 0.0181 memory: 17087 grad_norm: 5.0681 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4960 loss: 1.4960 2022/08/04 04:04:46 - mmengine - INFO - Epoch(train) [83][300/1879] lr: 1.0000e-02 eta: 1 day, 15:09:56 time: 0.4273 data_time: 0.0131 memory: 17087 grad_norm: 5.1713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5100 loss: 1.5100 2022/08/04 04:04:55 - mmengine - INFO - Epoch(train) [83][320/1879] lr: 1.0000e-02 eta: 1 day, 15:09:49 time: 0.4477 data_time: 0.0167 memory: 17087 grad_norm: 5.2817 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4697 loss: 1.4697 2022/08/04 04:05:03 - mmengine - INFO - Epoch(train) [83][340/1879] lr: 1.0000e-02 eta: 1 day, 15:09:40 time: 0.4257 data_time: 0.0135 memory: 17087 grad_norm: 5.2277 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4550 loss: 1.4550 2022/08/04 04:05:12 - mmengine - INFO - Epoch(train) [83][360/1879] lr: 1.0000e-02 eta: 1 day, 15:09:31 time: 0.4277 data_time: 0.0170 memory: 17087 grad_norm: 5.2139 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5164 loss: 1.5164 2022/08/04 04:05:20 - mmengine - INFO - Epoch(train) [83][380/1879] lr: 1.0000e-02 eta: 1 day, 15:09:22 time: 0.4368 data_time: 0.0162 memory: 17087 grad_norm: 5.0177 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3891 loss: 1.3891 2022/08/04 04:05:29 - mmengine - INFO - Epoch(train) [83][400/1879] lr: 1.0000e-02 eta: 1 day, 15:09:14 time: 0.4269 data_time: 0.0167 memory: 17087 grad_norm: 5.1078 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6428 loss: 1.6428 2022/08/04 04:05:38 - mmengine - INFO - Epoch(train) [83][420/1879] lr: 1.0000e-02 eta: 1 day, 15:09:06 time: 0.4498 data_time: 0.0149 memory: 17087 grad_norm: 5.3470 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6142 loss: 1.6142 2022/08/04 04:05:47 - mmengine - INFO - Epoch(train) [83][440/1879] lr: 1.0000e-02 eta: 1 day, 15:08:57 time: 0.4317 data_time: 0.0169 memory: 17087 grad_norm: 5.3188 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4542 loss: 1.4542 2022/08/04 04:05:55 - mmengine - INFO - Epoch(train) [83][460/1879] lr: 1.0000e-02 eta: 1 day, 15:08:49 time: 0.4372 data_time: 0.0128 memory: 17087 grad_norm: 5.1816 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6542 loss: 1.6542 2022/08/04 04:06:04 - mmengine - INFO - Epoch(train) [83][480/1879] lr: 1.0000e-02 eta: 1 day, 15:08:40 time: 0.4366 data_time: 0.0175 memory: 17087 grad_norm: 5.3580 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6200 loss: 1.6200 2022/08/04 04:06:13 - mmengine - INFO - Epoch(train) [83][500/1879] lr: 1.0000e-02 eta: 1 day, 15:08:32 time: 0.4406 data_time: 0.0144 memory: 17087 grad_norm: 5.2064 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6098 loss: 1.6098 2022/08/04 04:06:22 - mmengine - INFO - Epoch(train) [83][520/1879] lr: 1.0000e-02 eta: 1 day, 15:08:23 time: 0.4278 data_time: 0.0157 memory: 17087 grad_norm: 5.1559 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4731 loss: 1.4731 2022/08/04 04:06:30 - mmengine - INFO - Epoch(train) [83][540/1879] lr: 1.0000e-02 eta: 1 day, 15:08:14 time: 0.4285 data_time: 0.0140 memory: 17087 grad_norm: 5.0528 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3479 loss: 1.3479 2022/08/04 04:06:39 - mmengine - INFO - Epoch(train) [83][560/1879] lr: 1.0000e-02 eta: 1 day, 15:08:06 time: 0.4285 data_time: 0.0177 memory: 17087 grad_norm: 5.1775 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5542 loss: 1.5542 2022/08/04 04:06:48 - mmengine - INFO - Epoch(train) [83][580/1879] lr: 1.0000e-02 eta: 1 day, 15:07:58 time: 0.4488 data_time: 0.0122 memory: 17087 grad_norm: 5.3334 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4993 loss: 1.4993 2022/08/04 04:06:56 - mmengine - INFO - Epoch(train) [83][600/1879] lr: 1.0000e-02 eta: 1 day, 15:07:49 time: 0.4310 data_time: 0.0207 memory: 17087 grad_norm: 5.0961 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5369 loss: 1.5369 2022/08/04 04:07:05 - mmengine - INFO - Epoch(train) [83][620/1879] lr: 1.0000e-02 eta: 1 day, 15:07:40 time: 0.4323 data_time: 0.0138 memory: 17087 grad_norm: 5.3302 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.5811 loss: 1.5811 2022/08/04 04:07:14 - mmengine - INFO - Epoch(train) [83][640/1879] lr: 1.0000e-02 eta: 1 day, 15:07:32 time: 0.4309 data_time: 0.0169 memory: 17087 grad_norm: 5.2183 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5464 loss: 1.5464 2022/08/04 04:07:22 - mmengine - INFO - Epoch(train) [83][660/1879] lr: 1.0000e-02 eta: 1 day, 15:07:23 time: 0.4245 data_time: 0.0129 memory: 17087 grad_norm: 5.2921 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5917 loss: 1.5917 2022/08/04 04:07:31 - mmengine - INFO - Epoch(train) [83][680/1879] lr: 1.0000e-02 eta: 1 day, 15:07:15 time: 0.4378 data_time: 0.0162 memory: 17087 grad_norm: 5.3151 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5492 loss: 1.5492 2022/08/04 04:07:40 - mmengine - INFO - Epoch(train) [83][700/1879] lr: 1.0000e-02 eta: 1 day, 15:07:07 time: 0.4519 data_time: 0.0134 memory: 17087 grad_norm: 5.1917 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3589 loss: 1.3589 2022/08/04 04:07:48 - mmengine - INFO - Epoch(train) [83][720/1879] lr: 1.0000e-02 eta: 1 day, 15:06:58 time: 0.4266 data_time: 0.0158 memory: 17087 grad_norm: 5.1744 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3895 loss: 1.3895 2022/08/04 04:07:57 - mmengine - INFO - Epoch(train) [83][740/1879] lr: 1.0000e-02 eta: 1 day, 15:06:49 time: 0.4267 data_time: 0.0155 memory: 17087 grad_norm: 5.2979 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5787 loss: 1.5787 2022/08/04 04:08:06 - mmengine - INFO - Epoch(train) [83][760/1879] lr: 1.0000e-02 eta: 1 day, 15:06:40 time: 0.4278 data_time: 0.0166 memory: 17087 grad_norm: 5.3401 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4615 loss: 1.4615 2022/08/04 04:08:14 - mmengine - INFO - Epoch(train) [83][780/1879] lr: 1.0000e-02 eta: 1 day, 15:06:32 time: 0.4372 data_time: 0.0161 memory: 17087 grad_norm: 5.2398 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3608 loss: 1.3608 2022/08/04 04:08:23 - mmengine - INFO - Epoch(train) [83][800/1879] lr: 1.0000e-02 eta: 1 day, 15:06:23 time: 0.4286 data_time: 0.0161 memory: 17087 grad_norm: 5.2116 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2297 loss: 1.2297 2022/08/04 04:08:31 - mmengine - INFO - Epoch(train) [83][820/1879] lr: 1.0000e-02 eta: 1 day, 15:06:14 time: 0.4233 data_time: 0.0134 memory: 17087 grad_norm: 5.3984 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5769 loss: 1.5769 2022/08/04 04:08:41 - mmengine - INFO - Epoch(train) [83][840/1879] lr: 1.0000e-02 eta: 1 day, 15:06:07 time: 0.4604 data_time: 0.0177 memory: 17087 grad_norm: 5.2437 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4486 loss: 1.4486 2022/08/04 04:08:49 - mmengine - INFO - Epoch(train) [83][860/1879] lr: 1.0000e-02 eta: 1 day, 15:05:58 time: 0.4250 data_time: 0.0130 memory: 17087 grad_norm: 5.1649 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3192 loss: 1.3192 2022/08/04 04:08:58 - mmengine - INFO - Epoch(train) [83][880/1879] lr: 1.0000e-02 eta: 1 day, 15:05:49 time: 0.4355 data_time: 0.0176 memory: 17087 grad_norm: 5.3066 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5803 loss: 1.5803 2022/08/04 04:09:06 - mmengine - INFO - Epoch(train) [83][900/1879] lr: 1.0000e-02 eta: 1 day, 15:05:40 time: 0.4252 data_time: 0.0143 memory: 17087 grad_norm: 5.2894 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6450 loss: 1.6450 2022/08/04 04:09:15 - mmengine - INFO - Epoch(train) [83][920/1879] lr: 1.0000e-02 eta: 1 day, 15:05:32 time: 0.4320 data_time: 0.0194 memory: 17087 grad_norm: 5.3516 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5525 loss: 1.5525 2022/08/04 04:09:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 04:09:24 - mmengine - INFO - Epoch(train) [83][940/1879] lr: 1.0000e-02 eta: 1 day, 15:05:23 time: 0.4263 data_time: 0.0133 memory: 17087 grad_norm: 5.2774 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4705 loss: 1.4705 2022/08/04 04:09:32 - mmengine - INFO - Epoch(train) [83][960/1879] lr: 1.0000e-02 eta: 1 day, 15:05:14 time: 0.4267 data_time: 0.0156 memory: 17087 grad_norm: 5.1464 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4944 loss: 1.4944 2022/08/04 04:09:41 - mmengine - INFO - Epoch(train) [83][980/1879] lr: 1.0000e-02 eta: 1 day, 15:05:06 time: 0.4436 data_time: 0.0153 memory: 17087 grad_norm: 5.1842 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6206 loss: 1.6206 2022/08/04 04:09:50 - mmengine - INFO - Epoch(train) [83][1000/1879] lr: 1.0000e-02 eta: 1 day, 15:04:57 time: 0.4282 data_time: 0.0183 memory: 17087 grad_norm: 5.1743 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4609 loss: 1.4609 2022/08/04 04:09:58 - mmengine - INFO - Epoch(train) [83][1020/1879] lr: 1.0000e-02 eta: 1 day, 15:04:49 time: 0.4335 data_time: 0.0157 memory: 17087 grad_norm: 5.1663 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4655 loss: 1.4655 2022/08/04 04:10:07 - mmengine - INFO - Epoch(train) [83][1040/1879] lr: 1.0000e-02 eta: 1 day, 15:04:40 time: 0.4277 data_time: 0.0158 memory: 17087 grad_norm: 5.3779 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6342 loss: 1.6342 2022/08/04 04:10:16 - mmengine - INFO - Epoch(train) [83][1060/1879] lr: 1.0000e-02 eta: 1 day, 15:04:32 time: 0.4481 data_time: 0.0147 memory: 17087 grad_norm: 5.3202 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6718 loss: 1.6718 2022/08/04 04:10:24 - mmengine - INFO - Epoch(train) [83][1080/1879] lr: 1.0000e-02 eta: 1 day, 15:04:23 time: 0.4285 data_time: 0.0182 memory: 17087 grad_norm: 5.4413 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5123 loss: 1.5123 2022/08/04 04:10:33 - mmengine - INFO - Epoch(train) [83][1100/1879] lr: 1.0000e-02 eta: 1 day, 15:04:15 time: 0.4531 data_time: 0.0166 memory: 17087 grad_norm: 5.2686 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5835 loss: 1.5835 2022/08/04 04:10:42 - mmengine - INFO - Epoch(train) [83][1120/1879] lr: 1.0000e-02 eta: 1 day, 15:04:07 time: 0.4268 data_time: 0.0168 memory: 17087 grad_norm: 5.1679 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5407 loss: 1.5407 2022/08/04 04:10:51 - mmengine - INFO - Epoch(train) [83][1140/1879] lr: 1.0000e-02 eta: 1 day, 15:03:58 time: 0.4438 data_time: 0.0161 memory: 17087 grad_norm: 5.3189 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6044 loss: 1.6044 2022/08/04 04:11:00 - mmengine - INFO - Epoch(train) [83][1160/1879] lr: 1.0000e-02 eta: 1 day, 15:03:50 time: 0.4409 data_time: 0.0149 memory: 17087 grad_norm: 5.1376 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5250 loss: 1.5250 2022/08/04 04:11:09 - mmengine - INFO - Epoch(train) [83][1180/1879] lr: 1.0000e-02 eta: 1 day, 15:03:42 time: 0.4441 data_time: 0.0159 memory: 17087 grad_norm: 5.4003 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5837 loss: 1.5837 2022/08/04 04:11:17 - mmengine - INFO - Epoch(train) [83][1200/1879] lr: 1.0000e-02 eta: 1 day, 15:03:34 time: 0.4340 data_time: 0.0157 memory: 17087 grad_norm: 5.2288 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6110 loss: 1.6110 2022/08/04 04:11:26 - mmengine - INFO - Epoch(train) [83][1220/1879] lr: 1.0000e-02 eta: 1 day, 15:03:26 time: 0.4593 data_time: 0.0151 memory: 17087 grad_norm: 5.1306 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2750 loss: 1.2750 2022/08/04 04:11:35 - mmengine - INFO - Epoch(train) [83][1240/1879] lr: 1.0000e-02 eta: 1 day, 15:03:18 time: 0.4341 data_time: 0.0173 memory: 17087 grad_norm: 5.2738 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6298 loss: 1.6298 2022/08/04 04:11:44 - mmengine - INFO - Epoch(train) [83][1260/1879] lr: 1.0000e-02 eta: 1 day, 15:03:10 time: 0.4623 data_time: 0.0177 memory: 17087 grad_norm: 5.2629 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5679 loss: 1.5679 2022/08/04 04:11:53 - mmengine - INFO - Epoch(train) [83][1280/1879] lr: 1.0000e-02 eta: 1 day, 15:03:01 time: 0.4291 data_time: 0.0156 memory: 17087 grad_norm: 5.3793 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4245 loss: 1.4245 2022/08/04 04:12:02 - mmengine - INFO - Epoch(train) [83][1300/1879] lr: 1.0000e-02 eta: 1 day, 15:02:53 time: 0.4296 data_time: 0.0141 memory: 17087 grad_norm: 5.1919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3021 loss: 1.3021 2022/08/04 04:12:10 - mmengine - INFO - Epoch(train) [83][1320/1879] lr: 1.0000e-02 eta: 1 day, 15:02:44 time: 0.4291 data_time: 0.0162 memory: 17087 grad_norm: 5.4533 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5169 loss: 1.5169 2022/08/04 04:12:19 - mmengine - INFO - Epoch(train) [83][1340/1879] lr: 1.0000e-02 eta: 1 day, 15:02:35 time: 0.4244 data_time: 0.0141 memory: 17087 grad_norm: 5.3817 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4826 loss: 1.4826 2022/08/04 04:12:28 - mmengine - INFO - Epoch(train) [83][1360/1879] lr: 1.0000e-02 eta: 1 day, 15:02:27 time: 0.4494 data_time: 0.0189 memory: 17087 grad_norm: 5.0423 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5186 loss: 1.5186 2022/08/04 04:12:36 - mmengine - INFO - Epoch(train) [83][1380/1879] lr: 1.0000e-02 eta: 1 day, 15:02:18 time: 0.4239 data_time: 0.0134 memory: 17087 grad_norm: 5.3213 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5068 loss: 1.5068 2022/08/04 04:12:45 - mmengine - INFO - Epoch(train) [83][1400/1879] lr: 1.0000e-02 eta: 1 day, 15:02:10 time: 0.4482 data_time: 0.0178 memory: 17087 grad_norm: 5.1474 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7853 loss: 1.7853 2022/08/04 04:12:54 - mmengine - INFO - Epoch(train) [83][1420/1879] lr: 1.0000e-02 eta: 1 day, 15:02:01 time: 0.4276 data_time: 0.0132 memory: 17087 grad_norm: 5.3052 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4012 loss: 1.4012 2022/08/04 04:13:02 - mmengine - INFO - Epoch(train) [83][1440/1879] lr: 1.0000e-02 eta: 1 day, 15:01:53 time: 0.4264 data_time: 0.0161 memory: 17087 grad_norm: 5.1726 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3979 loss: 1.3979 2022/08/04 04:13:11 - mmengine - INFO - Epoch(train) [83][1460/1879] lr: 1.0000e-02 eta: 1 day, 15:01:45 time: 0.4544 data_time: 0.0169 memory: 17087 grad_norm: 5.2902 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4976 loss: 1.4976 2022/08/04 04:13:20 - mmengine - INFO - Epoch(train) [83][1480/1879] lr: 1.0000e-02 eta: 1 day, 15:01:36 time: 0.4277 data_time: 0.0181 memory: 17087 grad_norm: 5.2621 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7333 loss: 1.7333 2022/08/04 04:13:29 - mmengine - INFO - Epoch(train) [83][1500/1879] lr: 1.0000e-02 eta: 1 day, 15:01:28 time: 0.4395 data_time: 0.0148 memory: 17087 grad_norm: 5.2066 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.5259 loss: 1.5259 2022/08/04 04:13:37 - mmengine - INFO - Epoch(train) [83][1520/1879] lr: 1.0000e-02 eta: 1 day, 15:01:19 time: 0.4269 data_time: 0.0151 memory: 17087 grad_norm: 5.2559 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5825 loss: 1.5825 2022/08/04 04:13:46 - mmengine - INFO - Epoch(train) [83][1540/1879] lr: 1.0000e-02 eta: 1 day, 15:01:10 time: 0.4283 data_time: 0.0148 memory: 17087 grad_norm: 5.1987 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5274 loss: 1.5274 2022/08/04 04:13:55 - mmengine - INFO - Epoch(train) [83][1560/1879] lr: 1.0000e-02 eta: 1 day, 15:01:02 time: 0.4371 data_time: 0.0227 memory: 17087 grad_norm: 5.2198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5653 loss: 1.5653 2022/08/04 04:14:03 - mmengine - INFO - Epoch(train) [83][1580/1879] lr: 1.0000e-02 eta: 1 day, 15:00:53 time: 0.4304 data_time: 0.0130 memory: 17087 grad_norm: 5.3915 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4189 loss: 1.4189 2022/08/04 04:14:12 - mmengine - INFO - Epoch(train) [83][1600/1879] lr: 1.0000e-02 eta: 1 day, 15:00:44 time: 0.4270 data_time: 0.0175 memory: 17087 grad_norm: 5.2638 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5886 loss: 1.5886 2022/08/04 04:14:21 - mmengine - INFO - Epoch(train) [83][1620/1879] lr: 1.0000e-02 eta: 1 day, 15:00:37 time: 0.4534 data_time: 0.0161 memory: 17087 grad_norm: 5.3896 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6945 loss: 1.6945 2022/08/04 04:14:29 - mmengine - INFO - Epoch(train) [83][1640/1879] lr: 1.0000e-02 eta: 1 day, 15:00:28 time: 0.4306 data_time: 0.0161 memory: 17087 grad_norm: 5.2684 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3807 loss: 1.3807 2022/08/04 04:14:38 - mmengine - INFO - Epoch(train) [83][1660/1879] lr: 1.0000e-02 eta: 1 day, 15:00:19 time: 0.4300 data_time: 0.0154 memory: 17087 grad_norm: 5.1129 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4437 loss: 1.4437 2022/08/04 04:14:47 - mmengine - INFO - Epoch(train) [83][1680/1879] lr: 1.0000e-02 eta: 1 day, 15:00:10 time: 0.4307 data_time: 0.0152 memory: 17087 grad_norm: 5.1073 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.5101 loss: 1.5101 2022/08/04 04:14:55 - mmengine - INFO - Epoch(train) [83][1700/1879] lr: 1.0000e-02 eta: 1 day, 15:00:02 time: 0.4324 data_time: 0.0150 memory: 17087 grad_norm: 5.2313 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3777 loss: 1.3777 2022/08/04 04:15:04 - mmengine - INFO - Epoch(train) [83][1720/1879] lr: 1.0000e-02 eta: 1 day, 14:59:53 time: 0.4318 data_time: 0.0154 memory: 17087 grad_norm: 5.2416 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5751 loss: 1.5751 2022/08/04 04:15:12 - mmengine - INFO - Epoch(train) [83][1740/1879] lr: 1.0000e-02 eta: 1 day, 14:59:44 time: 0.4247 data_time: 0.0142 memory: 17087 grad_norm: 5.1662 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5840 loss: 1.5840 2022/08/04 04:15:21 - mmengine - INFO - Epoch(train) [83][1760/1879] lr: 1.0000e-02 eta: 1 day, 14:59:36 time: 0.4320 data_time: 0.0155 memory: 17087 grad_norm: 5.3730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5226 loss: 1.5226 2022/08/04 04:15:30 - mmengine - INFO - Epoch(train) [83][1780/1879] lr: 1.0000e-02 eta: 1 day, 14:59:27 time: 0.4317 data_time: 0.0146 memory: 17087 grad_norm: 5.3400 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3124 loss: 1.3124 2022/08/04 04:15:39 - mmengine - INFO - Epoch(train) [83][1800/1879] lr: 1.0000e-02 eta: 1 day, 14:59:19 time: 0.4353 data_time: 0.0168 memory: 17087 grad_norm: 5.3413 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6866 loss: 1.6866 2022/08/04 04:15:47 - mmengine - INFO - Epoch(train) [83][1820/1879] lr: 1.0000e-02 eta: 1 day, 14:59:10 time: 0.4276 data_time: 0.0154 memory: 17087 grad_norm: 5.2599 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4282 loss: 1.4282 2022/08/04 04:15:56 - mmengine - INFO - Epoch(train) [83][1840/1879] lr: 1.0000e-02 eta: 1 day, 14:59:02 time: 0.4425 data_time: 0.0174 memory: 17087 grad_norm: 5.2531 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3517 loss: 1.3517 2022/08/04 04:16:04 - mmengine - INFO - Epoch(train) [83][1860/1879] lr: 1.0000e-02 eta: 1 day, 14:58:53 time: 0.4250 data_time: 0.0148 memory: 17087 grad_norm: 5.1735 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5055 loss: 1.5055 2022/08/04 04:16:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 04:16:12 - mmengine - INFO - Epoch(train) [83][1879/1879] lr: 1.0000e-02 eta: 1 day, 14:58:53 time: 0.4054 data_time: 0.0145 memory: 17087 grad_norm: 5.4656 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.4101 loss: 1.4101 2022/08/04 04:16:24 - mmengine - INFO - Epoch(train) [84][20/1879] lr: 1.0000e-02 eta: 1 day, 14:58:25 time: 0.5847 data_time: 0.1336 memory: 17087 grad_norm: 5.0850 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4203 loss: 1.4203 2022/08/04 04:16:32 - mmengine - INFO - Epoch(train) [84][40/1879] lr: 1.0000e-02 eta: 1 day, 14:58:16 time: 0.4268 data_time: 0.0155 memory: 17087 grad_norm: 5.3022 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.6212 loss: 1.6212 2022/08/04 04:16:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 04:16:41 - mmengine - INFO - Epoch(train) [84][60/1879] lr: 1.0000e-02 eta: 1 day, 14:58:08 time: 0.4357 data_time: 0.0157 memory: 17087 grad_norm: 5.3854 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7516 loss: 1.7516 2022/08/04 04:16:50 - mmengine - INFO - Epoch(train) [84][80/1879] lr: 1.0000e-02 eta: 1 day, 14:58:00 time: 0.4458 data_time: 0.0154 memory: 17087 grad_norm: 5.1888 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6397 loss: 1.6397 2022/08/04 04:16:59 - mmengine - INFO - Epoch(train) [84][100/1879] lr: 1.0000e-02 eta: 1 day, 14:57:51 time: 0.4266 data_time: 0.0131 memory: 17087 grad_norm: 5.3108 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4843 loss: 1.4843 2022/08/04 04:17:08 - mmengine - INFO - Epoch(train) [84][120/1879] lr: 1.0000e-02 eta: 1 day, 14:57:43 time: 0.4464 data_time: 0.0186 memory: 17087 grad_norm: 5.2946 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4608 loss: 1.4608 2022/08/04 04:17:16 - mmengine - INFO - Epoch(train) [84][140/1879] lr: 1.0000e-02 eta: 1 day, 14:57:34 time: 0.4246 data_time: 0.0120 memory: 17087 grad_norm: 5.0052 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4401 loss: 1.4401 2022/08/04 04:17:25 - mmengine - INFO - Epoch(train) [84][160/1879] lr: 1.0000e-02 eta: 1 day, 14:57:25 time: 0.4313 data_time: 0.0174 memory: 17087 grad_norm: 5.2084 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4525 loss: 1.4525 2022/08/04 04:17:33 - mmengine - INFO - Epoch(train) [84][180/1879] lr: 1.0000e-02 eta: 1 day, 14:57:16 time: 0.4262 data_time: 0.0145 memory: 17087 grad_norm: 5.0944 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4812 loss: 1.4812 2022/08/04 04:17:42 - mmengine - INFO - Epoch(train) [84][200/1879] lr: 1.0000e-02 eta: 1 day, 14:57:08 time: 0.4338 data_time: 0.0160 memory: 17087 grad_norm: 5.2173 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3873 loss: 1.3873 2022/08/04 04:17:51 - mmengine - INFO - Epoch(train) [84][220/1879] lr: 1.0000e-02 eta: 1 day, 14:56:59 time: 0.4276 data_time: 0.0170 memory: 17087 grad_norm: 5.0882 top1_acc: 0.3125 top5_acc: 0.8750 loss_cls: 1.5329 loss: 1.5329 2022/08/04 04:17:59 - mmengine - INFO - Epoch(train) [84][240/1879] lr: 1.0000e-02 eta: 1 day, 14:56:50 time: 0.4289 data_time: 0.0166 memory: 17087 grad_norm: 5.2182 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5047 loss: 1.5047 2022/08/04 04:18:08 - mmengine - INFO - Epoch(train) [84][260/1879] lr: 1.0000e-02 eta: 1 day, 14:56:42 time: 0.4288 data_time: 0.0151 memory: 17087 grad_norm: 5.1234 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4263 loss: 1.4263 2022/08/04 04:18:16 - mmengine - INFO - Epoch(train) [84][280/1879] lr: 1.0000e-02 eta: 1 day, 14:56:33 time: 0.4307 data_time: 0.0184 memory: 17087 grad_norm: 5.2630 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2737 loss: 1.2737 2022/08/04 04:18:25 - mmengine - INFO - Epoch(train) [84][300/1879] lr: 1.0000e-02 eta: 1 day, 14:56:25 time: 0.4498 data_time: 0.0147 memory: 17087 grad_norm: 5.1955 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5759 loss: 1.5759 2022/08/04 04:18:34 - mmengine - INFO - Epoch(train) [84][320/1879] lr: 1.0000e-02 eta: 1 day, 14:56:16 time: 0.4304 data_time: 0.0166 memory: 17087 grad_norm: 5.3106 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6139 loss: 1.6139 2022/08/04 04:18:43 - mmengine - INFO - Epoch(train) [84][340/1879] lr: 1.0000e-02 eta: 1 day, 14:56:08 time: 0.4262 data_time: 0.0122 memory: 17087 grad_norm: 5.2246 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.6337 loss: 1.6337 2022/08/04 04:18:51 - mmengine - INFO - Epoch(train) [84][360/1879] lr: 1.0000e-02 eta: 1 day, 14:55:59 time: 0.4269 data_time: 0.0155 memory: 17087 grad_norm: 5.2771 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6129 loss: 1.6129 2022/08/04 04:19:00 - mmengine - INFO - Epoch(train) [84][380/1879] lr: 1.0000e-02 eta: 1 day, 14:55:50 time: 0.4344 data_time: 0.0147 memory: 17087 grad_norm: 5.1597 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4988 loss: 1.4988 2022/08/04 04:19:08 - mmengine - INFO - Epoch(train) [84][400/1879] lr: 1.0000e-02 eta: 1 day, 14:55:42 time: 0.4325 data_time: 0.0171 memory: 17087 grad_norm: 5.2137 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5492 loss: 1.5492 2022/08/04 04:19:17 - mmengine - INFO - Epoch(train) [84][420/1879] lr: 1.0000e-02 eta: 1 day, 14:55:33 time: 0.4418 data_time: 0.0122 memory: 17087 grad_norm: 5.3962 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5025 loss: 1.5025 2022/08/04 04:19:26 - mmengine - INFO - Epoch(train) [84][440/1879] lr: 1.0000e-02 eta: 1 day, 14:55:25 time: 0.4349 data_time: 0.0171 memory: 17087 grad_norm: 5.3090 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4098 loss: 1.4098 2022/08/04 04:19:34 - mmengine - INFO - Epoch(train) [84][460/1879] lr: 1.0000e-02 eta: 1 day, 14:55:16 time: 0.4258 data_time: 0.0137 memory: 17087 grad_norm: 5.2463 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6294 loss: 1.6294 2022/08/04 04:19:43 - mmengine - INFO - Epoch(train) [84][480/1879] lr: 1.0000e-02 eta: 1 day, 14:55:07 time: 0.4266 data_time: 0.0153 memory: 17087 grad_norm: 5.3396 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5374 loss: 1.5374 2022/08/04 04:19:52 - mmengine - INFO - Epoch(train) [84][500/1879] lr: 1.0000e-02 eta: 1 day, 14:54:59 time: 0.4321 data_time: 0.0140 memory: 17087 grad_norm: 5.1834 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5435 loss: 1.5435 2022/08/04 04:20:00 - mmengine - INFO - Epoch(train) [84][520/1879] lr: 1.0000e-02 eta: 1 day, 14:54:50 time: 0.4282 data_time: 0.0159 memory: 17087 grad_norm: 5.2047 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4506 loss: 1.4506 2022/08/04 04:20:09 - mmengine - INFO - Epoch(train) [84][540/1879] lr: 1.0000e-02 eta: 1 day, 14:54:41 time: 0.4351 data_time: 0.0149 memory: 17087 grad_norm: 5.1937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5792 loss: 1.5792 2022/08/04 04:20:18 - mmengine - INFO - Epoch(train) [84][560/1879] lr: 1.0000e-02 eta: 1 day, 14:54:33 time: 0.4318 data_time: 0.0185 memory: 17087 grad_norm: 5.4185 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.7443 loss: 1.7443 2022/08/04 04:20:26 - mmengine - INFO - Epoch(train) [84][580/1879] lr: 1.0000e-02 eta: 1 day, 14:54:24 time: 0.4422 data_time: 0.0144 memory: 17087 grad_norm: 5.2707 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5827 loss: 1.5827 2022/08/04 04:20:35 - mmengine - INFO - Epoch(train) [84][600/1879] lr: 1.0000e-02 eta: 1 day, 14:54:16 time: 0.4298 data_time: 0.0179 memory: 17087 grad_norm: 5.0435 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4051 loss: 1.4051 2022/08/04 04:20:44 - mmengine - INFO - Epoch(train) [84][620/1879] lr: 1.0000e-02 eta: 1 day, 14:54:07 time: 0.4261 data_time: 0.0128 memory: 17087 grad_norm: 5.2911 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4225 loss: 1.4225 2022/08/04 04:20:52 - mmengine - INFO - Epoch(train) [84][640/1879] lr: 1.0000e-02 eta: 1 day, 14:53:58 time: 0.4255 data_time: 0.0159 memory: 17087 grad_norm: 5.1854 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5546 loss: 1.5546 2022/08/04 04:21:01 - mmengine - INFO - Epoch(train) [84][660/1879] lr: 1.0000e-02 eta: 1 day, 14:53:50 time: 0.4502 data_time: 0.0155 memory: 17087 grad_norm: 5.3198 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4400 loss: 1.4400 2022/08/04 04:21:10 - mmengine - INFO - Epoch(train) [84][680/1879] lr: 1.0000e-02 eta: 1 day, 14:53:41 time: 0.4310 data_time: 0.0204 memory: 17087 grad_norm: 5.2632 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6330 loss: 1.6330 2022/08/04 04:21:19 - mmengine - INFO - Epoch(train) [84][700/1879] lr: 1.0000e-02 eta: 1 day, 14:53:34 time: 0.4516 data_time: 0.0154 memory: 17087 grad_norm: 5.3209 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5658 loss: 1.5658 2022/08/04 04:21:27 - mmengine - INFO - Epoch(train) [84][720/1879] lr: 1.0000e-02 eta: 1 day, 14:53:25 time: 0.4310 data_time: 0.0203 memory: 17087 grad_norm: 5.3836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5266 loss: 1.5266 2022/08/04 04:21:37 - mmengine - INFO - Epoch(train) [84][740/1879] lr: 1.0000e-02 eta: 1 day, 14:53:17 time: 0.4582 data_time: 0.0169 memory: 17087 grad_norm: 5.3073 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6200 loss: 1.6200 2022/08/04 04:21:45 - mmengine - INFO - Epoch(train) [84][760/1879] lr: 1.0000e-02 eta: 1 day, 14:53:09 time: 0.4332 data_time: 0.0156 memory: 17087 grad_norm: 5.3238 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3774 loss: 1.3774 2022/08/04 04:21:54 - mmengine - INFO - Epoch(train) [84][780/1879] lr: 1.0000e-02 eta: 1 day, 14:53:00 time: 0.4326 data_time: 0.0167 memory: 17087 grad_norm: 5.3366 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4745 loss: 1.4745 2022/08/04 04:22:03 - mmengine - INFO - Epoch(train) [84][800/1879] lr: 1.0000e-02 eta: 1 day, 14:52:52 time: 0.4407 data_time: 0.0148 memory: 17087 grad_norm: 5.1957 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7327 loss: 1.7327 2022/08/04 04:22:11 - mmengine - INFO - Epoch(train) [84][820/1879] lr: 1.0000e-02 eta: 1 day, 14:52:43 time: 0.4328 data_time: 0.0204 memory: 17087 grad_norm: 5.3572 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4104 loss: 1.4104 2022/08/04 04:22:20 - mmengine - INFO - Epoch(train) [84][840/1879] lr: 1.0000e-02 eta: 1 day, 14:52:35 time: 0.4306 data_time: 0.0170 memory: 17087 grad_norm: 5.4149 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4763 loss: 1.4763 2022/08/04 04:22:29 - mmengine - INFO - Epoch(train) [84][860/1879] lr: 1.0000e-02 eta: 1 day, 14:52:26 time: 0.4272 data_time: 0.0151 memory: 17087 grad_norm: 5.1865 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5609 loss: 1.5609 2022/08/04 04:22:38 - mmengine - INFO - Epoch(train) [84][880/1879] lr: 1.0000e-02 eta: 1 day, 14:52:18 time: 0.4515 data_time: 0.0166 memory: 17087 grad_norm: 5.4007 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5228 loss: 1.5228 2022/08/04 04:22:46 - mmengine - INFO - Epoch(train) [84][900/1879] lr: 1.0000e-02 eta: 1 day, 14:52:09 time: 0.4264 data_time: 0.0156 memory: 17087 grad_norm: 5.4851 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.7256 loss: 1.7256 2022/08/04 04:22:55 - mmengine - INFO - Epoch(train) [84][920/1879] lr: 1.0000e-02 eta: 1 day, 14:52:01 time: 0.4291 data_time: 0.0152 memory: 17087 grad_norm: 5.3053 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5333 loss: 1.5333 2022/08/04 04:23:03 - mmengine - INFO - Epoch(train) [84][940/1879] lr: 1.0000e-02 eta: 1 day, 14:51:52 time: 0.4254 data_time: 0.0144 memory: 17087 grad_norm: 5.1140 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5995 loss: 1.5995 2022/08/04 04:23:12 - mmengine - INFO - Epoch(train) [84][960/1879] lr: 1.0000e-02 eta: 1 day, 14:51:44 time: 0.4434 data_time: 0.0165 memory: 17087 grad_norm: 5.2750 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5332 loss: 1.5332 2022/08/04 04:23:21 - mmengine - INFO - Epoch(train) [84][980/1879] lr: 1.0000e-02 eta: 1 day, 14:51:35 time: 0.4282 data_time: 0.0156 memory: 17087 grad_norm: 5.3233 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.3885 loss: 1.3885 2022/08/04 04:23:29 - mmengine - INFO - Epoch(train) [84][1000/1879] lr: 1.0000e-02 eta: 1 day, 14:51:26 time: 0.4275 data_time: 0.0164 memory: 17087 grad_norm: 5.1556 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4919 loss: 1.4919 2022/08/04 04:23:38 - mmengine - INFO - Epoch(train) [84][1020/1879] lr: 1.0000e-02 eta: 1 day, 14:51:17 time: 0.4313 data_time: 0.0148 memory: 17087 grad_norm: 5.2432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4019 loss: 1.4019 2022/08/04 04:23:47 - mmengine - INFO - Epoch(train) [84][1040/1879] lr: 1.0000e-02 eta: 1 day, 14:51:09 time: 0.4389 data_time: 0.0216 memory: 17087 grad_norm: 5.1638 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3263 loss: 1.3263 2022/08/04 04:23:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 04:23:55 - mmengine - INFO - Epoch(train) [84][1060/1879] lr: 1.0000e-02 eta: 1 day, 14:51:00 time: 0.4277 data_time: 0.0167 memory: 17087 grad_norm: 5.2307 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5075 loss: 1.5075 2022/08/04 04:24:04 - mmengine - INFO - Epoch(train) [84][1080/1879] lr: 1.0000e-02 eta: 1 day, 14:50:51 time: 0.4278 data_time: 0.0161 memory: 17087 grad_norm: 5.3804 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5725 loss: 1.5725 2022/08/04 04:24:13 - mmengine - INFO - Epoch(train) [84][1100/1879] lr: 1.0000e-02 eta: 1 day, 14:50:43 time: 0.4466 data_time: 0.0167 memory: 17087 grad_norm: 5.3812 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4639 loss: 1.4639 2022/08/04 04:24:21 - mmengine - INFO - Epoch(train) [84][1120/1879] lr: 1.0000e-02 eta: 1 day, 14:50:35 time: 0.4274 data_time: 0.0159 memory: 17087 grad_norm: 5.2400 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4786 loss: 1.4786 2022/08/04 04:24:30 - mmengine - INFO - Epoch(train) [84][1140/1879] lr: 1.0000e-02 eta: 1 day, 14:50:26 time: 0.4427 data_time: 0.0151 memory: 17087 grad_norm: 5.3552 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5066 loss: 1.5066 2022/08/04 04:24:39 - mmengine - INFO - Epoch(train) [84][1160/1879] lr: 1.0000e-02 eta: 1 day, 14:50:18 time: 0.4273 data_time: 0.0154 memory: 17087 grad_norm: 5.4227 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4158 loss: 1.4158 2022/08/04 04:24:48 - mmengine - INFO - Epoch(train) [84][1180/1879] lr: 1.0000e-02 eta: 1 day, 14:50:09 time: 0.4358 data_time: 0.0160 memory: 17087 grad_norm: 5.2916 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5440 loss: 1.5440 2022/08/04 04:24:56 - mmengine - INFO - Epoch(train) [84][1200/1879] lr: 1.0000e-02 eta: 1 day, 14:50:00 time: 0.4251 data_time: 0.0153 memory: 17087 grad_norm: 5.1623 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5124 loss: 1.5124 2022/08/04 04:25:05 - mmengine - INFO - Epoch(train) [84][1220/1879] lr: 1.0000e-02 eta: 1 day, 14:49:53 time: 0.4615 data_time: 0.0184 memory: 17087 grad_norm: 5.3565 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6156 loss: 1.6156 2022/08/04 04:25:14 - mmengine - INFO - Epoch(train) [84][1240/1879] lr: 1.0000e-02 eta: 1 day, 14:49:44 time: 0.4257 data_time: 0.0156 memory: 17087 grad_norm: 5.1580 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6486 loss: 1.6486 2022/08/04 04:25:22 - mmengine - INFO - Epoch(train) [84][1260/1879] lr: 1.0000e-02 eta: 1 day, 14:49:35 time: 0.4258 data_time: 0.0148 memory: 17087 grad_norm: 5.2560 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5519 loss: 1.5519 2022/08/04 04:25:31 - mmengine - INFO - Epoch(train) [84][1280/1879] lr: 1.0000e-02 eta: 1 day, 14:49:27 time: 0.4357 data_time: 0.0170 memory: 17087 grad_norm: 5.2935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7061 loss: 1.7061 2022/08/04 04:25:40 - mmengine - INFO - Epoch(train) [84][1300/1879] lr: 1.0000e-02 eta: 1 day, 14:49:18 time: 0.4265 data_time: 0.0151 memory: 17087 grad_norm: 5.4556 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5806 loss: 1.5806 2022/08/04 04:25:49 - mmengine - INFO - Epoch(train) [84][1320/1879] lr: 1.0000e-02 eta: 1 day, 14:49:10 time: 0.4545 data_time: 0.0177 memory: 17087 grad_norm: 5.3545 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6533 loss: 1.6533 2022/08/04 04:25:57 - mmengine - INFO - Epoch(train) [84][1340/1879] lr: 1.0000e-02 eta: 1 day, 14:49:01 time: 0.4262 data_time: 0.0141 memory: 17087 grad_norm: 5.2400 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6662 loss: 1.6662 2022/08/04 04:26:06 - mmengine - INFO - Epoch(train) [84][1360/1879] lr: 1.0000e-02 eta: 1 day, 14:48:53 time: 0.4313 data_time: 0.0167 memory: 17087 grad_norm: 5.2421 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5919 loss: 1.5919 2022/08/04 04:26:14 - mmengine - INFO - Epoch(train) [84][1380/1879] lr: 1.0000e-02 eta: 1 day, 14:48:44 time: 0.4248 data_time: 0.0147 memory: 17087 grad_norm: 5.1592 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5470 loss: 1.5470 2022/08/04 04:26:23 - mmengine - INFO - Epoch(train) [84][1400/1879] lr: 1.0000e-02 eta: 1 day, 14:48:35 time: 0.4296 data_time: 0.0153 memory: 17087 grad_norm: 5.1402 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5705 loss: 1.5705 2022/08/04 04:26:32 - mmengine - INFO - Epoch(train) [84][1420/1879] lr: 1.0000e-02 eta: 1 day, 14:48:27 time: 0.4518 data_time: 0.0149 memory: 17087 grad_norm: 5.3486 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3584 loss: 1.3584 2022/08/04 04:26:41 - mmengine - INFO - Epoch(train) [84][1440/1879] lr: 1.0000e-02 eta: 1 day, 14:48:18 time: 0.4272 data_time: 0.0157 memory: 17087 grad_norm: 5.4365 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7313 loss: 1.7313 2022/08/04 04:26:50 - mmengine - INFO - Epoch(train) [84][1460/1879] lr: 1.0000e-02 eta: 1 day, 14:48:11 time: 0.4646 data_time: 0.0160 memory: 17087 grad_norm: 5.2629 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4483 loss: 1.4483 2022/08/04 04:26:58 - mmengine - INFO - Epoch(train) [84][1480/1879] lr: 1.0000e-02 eta: 1 day, 14:48:02 time: 0.4280 data_time: 0.0157 memory: 17087 grad_norm: 5.2815 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7294 loss: 1.7294 2022/08/04 04:27:08 - mmengine - INFO - Epoch(train) [84][1500/1879] lr: 1.0000e-02 eta: 1 day, 14:47:55 time: 0.4617 data_time: 0.0147 memory: 17087 grad_norm: 5.4925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5080 loss: 1.5080 2022/08/04 04:27:16 - mmengine - INFO - Epoch(train) [84][1520/1879] lr: 1.0000e-02 eta: 1 day, 14:47:46 time: 0.4277 data_time: 0.0153 memory: 17087 grad_norm: 5.3335 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4451 loss: 1.4451 2022/08/04 04:27:25 - mmengine - INFO - Epoch(train) [84][1540/1879] lr: 1.0000e-02 eta: 1 day, 14:47:38 time: 0.4418 data_time: 0.0163 memory: 17087 grad_norm: 5.1070 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5189 loss: 1.5189 2022/08/04 04:27:34 - mmengine - INFO - Epoch(train) [84][1560/1879] lr: 1.0000e-02 eta: 1 day, 14:47:29 time: 0.4263 data_time: 0.0158 memory: 17087 grad_norm: 5.1622 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4500 loss: 1.4500 2022/08/04 04:27:42 - mmengine - INFO - Epoch(train) [84][1580/1879] lr: 1.0000e-02 eta: 1 day, 14:47:20 time: 0.4263 data_time: 0.0145 memory: 17087 grad_norm: 5.1368 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.3224 loss: 1.3224 2022/08/04 04:27:51 - mmengine - INFO - Epoch(train) [84][1600/1879] lr: 1.0000e-02 eta: 1 day, 14:47:12 time: 0.4328 data_time: 0.0176 memory: 17087 grad_norm: 5.2377 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3548 loss: 1.3548 2022/08/04 04:27:59 - mmengine - INFO - Epoch(train) [84][1620/1879] lr: 1.0000e-02 eta: 1 day, 14:47:03 time: 0.4261 data_time: 0.0161 memory: 17087 grad_norm: 5.2501 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5447 loss: 1.5447 2022/08/04 04:28:09 - mmengine - INFO - Epoch(train) [84][1640/1879] lr: 1.0000e-02 eta: 1 day, 14:46:55 time: 0.4580 data_time: 0.0178 memory: 17087 grad_norm: 5.4462 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6668 loss: 1.6668 2022/08/04 04:28:17 - mmengine - INFO - Epoch(train) [84][1660/1879] lr: 1.0000e-02 eta: 1 day, 14:46:46 time: 0.4303 data_time: 0.0148 memory: 17087 grad_norm: 5.3010 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5072 loss: 1.5072 2022/08/04 04:28:26 - mmengine - INFO - Epoch(train) [84][1680/1879] lr: 1.0000e-02 eta: 1 day, 14:46:39 time: 0.4621 data_time: 0.0167 memory: 17087 grad_norm: 5.3886 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5572 loss: 1.5572 2022/08/04 04:28:35 - mmengine - INFO - Epoch(train) [84][1700/1879] lr: 1.0000e-02 eta: 1 day, 14:46:30 time: 0.4252 data_time: 0.0152 memory: 17087 grad_norm: 5.2373 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4990 loss: 1.4990 2022/08/04 04:28:43 - mmengine - INFO - Epoch(train) [84][1720/1879] lr: 1.0000e-02 eta: 1 day, 14:46:21 time: 0.4257 data_time: 0.0161 memory: 17087 grad_norm: 5.4537 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5844 loss: 1.5844 2022/08/04 04:28:52 - mmengine - INFO - Epoch(train) [84][1740/1879] lr: 1.0000e-02 eta: 1 day, 14:46:13 time: 0.4329 data_time: 0.0161 memory: 17087 grad_norm: 5.2916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6729 loss: 1.6729 2022/08/04 04:29:01 - mmengine - INFO - Epoch(train) [84][1760/1879] lr: 1.0000e-02 eta: 1 day, 14:46:04 time: 0.4272 data_time: 0.0163 memory: 17087 grad_norm: 5.3359 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4606 loss: 1.4606 2022/08/04 04:29:09 - mmengine - INFO - Epoch(train) [84][1780/1879] lr: 1.0000e-02 eta: 1 day, 14:45:55 time: 0.4367 data_time: 0.0170 memory: 17087 grad_norm: 5.2584 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5806 loss: 1.5806 2022/08/04 04:29:18 - mmengine - INFO - Epoch(train) [84][1800/1879] lr: 1.0000e-02 eta: 1 day, 14:45:47 time: 0.4261 data_time: 0.0156 memory: 17087 grad_norm: 5.2710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5127 loss: 1.5127 2022/08/04 04:29:27 - mmengine - INFO - Epoch(train) [84][1820/1879] lr: 1.0000e-02 eta: 1 day, 14:45:38 time: 0.4340 data_time: 0.0162 memory: 17087 grad_norm: 5.4386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5098 loss: 1.5098 2022/08/04 04:29:35 - mmengine - INFO - Epoch(train) [84][1840/1879] lr: 1.0000e-02 eta: 1 day, 14:45:29 time: 0.4268 data_time: 0.0152 memory: 17087 grad_norm: 5.1352 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5206 loss: 1.5206 2022/08/04 04:29:44 - mmengine - INFO - Epoch(train) [84][1860/1879] lr: 1.0000e-02 eta: 1 day, 14:45:20 time: 0.4272 data_time: 0.0175 memory: 17087 grad_norm: 5.1975 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5963 loss: 1.5963 2022/08/04 04:29:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 04:29:52 - mmengine - INFO - Epoch(train) [84][1879/1879] lr: 1.0000e-02 eta: 1 day, 14:45:20 time: 0.4258 data_time: 0.0152 memory: 17087 grad_norm: 5.2370 top1_acc: 0.2857 top5_acc: 0.8571 loss_cls: 1.2836 loss: 1.2836 2022/08/04 04:29:52 - mmengine - INFO - Saving checkpoint at 84 epochs 2022/08/04 04:30:06 - mmengine - INFO - Epoch(train) [85][20/1879] lr: 1.0000e-02 eta: 1 day, 14:44:52 time: 0.5547 data_time: 0.1016 memory: 17087 grad_norm: 5.1728 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4066 loss: 1.4066 2022/08/04 04:30:15 - mmengine - INFO - Epoch(train) [85][40/1879] lr: 1.0000e-02 eta: 1 day, 14:44:43 time: 0.4275 data_time: 0.0159 memory: 17087 grad_norm: 5.2643 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4325 loss: 1.4325 2022/08/04 04:30:23 - mmengine - INFO - Epoch(train) [85][60/1879] lr: 1.0000e-02 eta: 1 day, 14:44:34 time: 0.4247 data_time: 0.0125 memory: 17087 grad_norm: 5.1341 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4152 loss: 1.4152 2022/08/04 04:30:33 - mmengine - INFO - Epoch(train) [85][80/1879] lr: 1.0000e-02 eta: 1 day, 14:44:26 time: 0.4509 data_time: 0.0174 memory: 17087 grad_norm: 5.2259 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4604 loss: 1.4604 2022/08/04 04:30:41 - mmengine - INFO - Epoch(train) [85][100/1879] lr: 1.0000e-02 eta: 1 day, 14:44:17 time: 0.4246 data_time: 0.0138 memory: 17087 grad_norm: 5.0502 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4864 loss: 1.4864 2022/08/04 04:30:50 - mmengine - INFO - Epoch(train) [85][120/1879] lr: 1.0000e-02 eta: 1 day, 14:44:09 time: 0.4331 data_time: 0.0186 memory: 17087 grad_norm: 5.3070 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5038 loss: 1.5038 2022/08/04 04:30:58 - mmengine - INFO - Epoch(train) [85][140/1879] lr: 1.0000e-02 eta: 1 day, 14:44:00 time: 0.4273 data_time: 0.0136 memory: 17087 grad_norm: 5.2086 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6232 loss: 1.6232 2022/08/04 04:31:08 - mmengine - INFO - Epoch(train) [85][160/1879] lr: 1.0000e-02 eta: 1 day, 14:43:53 time: 0.4703 data_time: 0.0179 memory: 17087 grad_norm: 5.2417 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4026 loss: 1.4026 2022/08/04 04:31:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 04:31:16 - mmengine - INFO - Epoch(train) [85][180/1879] lr: 1.0000e-02 eta: 1 day, 14:43:44 time: 0.4279 data_time: 0.0149 memory: 17087 grad_norm: 5.0569 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4643 loss: 1.4643 2022/08/04 04:31:25 - mmengine - INFO - Epoch(train) [85][200/1879] lr: 1.0000e-02 eta: 1 day, 14:43:35 time: 0.4267 data_time: 0.0155 memory: 17087 grad_norm: 5.1918 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4433 loss: 1.4433 2022/08/04 04:31:34 - mmengine - INFO - Epoch(train) [85][220/1879] lr: 1.0000e-02 eta: 1 day, 14:43:27 time: 0.4512 data_time: 0.0187 memory: 17087 grad_norm: 5.2982 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3003 loss: 1.3003 2022/08/04 04:31:42 - mmengine - INFO - Epoch(train) [85][240/1879] lr: 1.0000e-02 eta: 1 day, 14:43:19 time: 0.4326 data_time: 0.0157 memory: 17087 grad_norm: 5.4114 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4554 loss: 1.4554 2022/08/04 04:31:51 - mmengine - INFO - Epoch(train) [85][260/1879] lr: 1.0000e-02 eta: 1 day, 14:43:10 time: 0.4308 data_time: 0.0134 memory: 17087 grad_norm: 5.2845 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.3787 loss: 1.3787 2022/08/04 04:32:00 - mmengine - INFO - Epoch(train) [85][280/1879] lr: 1.0000e-02 eta: 1 day, 14:43:02 time: 0.4319 data_time: 0.0173 memory: 17087 grad_norm: 5.1843 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4372 loss: 1.4372 2022/08/04 04:32:08 - mmengine - INFO - Epoch(train) [85][300/1879] lr: 1.0000e-02 eta: 1 day, 14:42:53 time: 0.4276 data_time: 0.0131 memory: 17087 grad_norm: 5.2906 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3473 loss: 1.3473 2022/08/04 04:32:17 - mmengine - INFO - Epoch(train) [85][320/1879] lr: 1.0000e-02 eta: 1 day, 14:42:44 time: 0.4273 data_time: 0.0170 memory: 17087 grad_norm: 5.3096 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3736 loss: 1.3736 2022/08/04 04:32:25 - mmengine - INFO - Epoch(train) [85][340/1879] lr: 1.0000e-02 eta: 1 day, 14:42:35 time: 0.4260 data_time: 0.0127 memory: 17087 grad_norm: 5.4446 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6333 loss: 1.6333 2022/08/04 04:32:34 - mmengine - INFO - Epoch(train) [85][360/1879] lr: 1.0000e-02 eta: 1 day, 14:42:26 time: 0.4276 data_time: 0.0178 memory: 17087 grad_norm: 5.0950 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5160 loss: 1.5160 2022/08/04 04:32:43 - mmengine - INFO - Epoch(train) [85][380/1879] lr: 1.0000e-02 eta: 1 day, 14:42:18 time: 0.4481 data_time: 0.0138 memory: 17087 grad_norm: 5.3315 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4666 loss: 1.4666 2022/08/04 04:32:52 - mmengine - INFO - Epoch(train) [85][400/1879] lr: 1.0000e-02 eta: 1 day, 14:42:10 time: 0.4329 data_time: 0.0210 memory: 17087 grad_norm: 5.2753 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6238 loss: 1.6238 2022/08/04 04:33:01 - mmengine - INFO - Epoch(train) [85][420/1879] lr: 1.0000e-02 eta: 1 day, 14:42:02 time: 0.4491 data_time: 0.0145 memory: 17087 grad_norm: 5.3753 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6626 loss: 1.6626 2022/08/04 04:33:09 - mmengine - INFO - Epoch(train) [85][440/1879] lr: 1.0000e-02 eta: 1 day, 14:41:53 time: 0.4349 data_time: 0.0179 memory: 17087 grad_norm: 5.1527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4469 loss: 1.4469 2022/08/04 04:33:18 - mmengine - INFO - Epoch(train) [85][460/1879] lr: 1.0000e-02 eta: 1 day, 14:41:45 time: 0.4381 data_time: 0.0144 memory: 17087 grad_norm: 5.3654 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6335 loss: 1.6335 2022/08/04 04:33:27 - mmengine - INFO - Epoch(train) [85][480/1879] lr: 1.0000e-02 eta: 1 day, 14:41:36 time: 0.4291 data_time: 0.0164 memory: 17087 grad_norm: 5.3644 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6068 loss: 1.6068 2022/08/04 04:33:35 - mmengine - INFO - Epoch(train) [85][500/1879] lr: 1.0000e-02 eta: 1 day, 14:41:27 time: 0.4274 data_time: 0.0141 memory: 17087 grad_norm: 5.4858 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5401 loss: 1.5401 2022/08/04 04:33:44 - mmengine - INFO - Epoch(train) [85][520/1879] lr: 1.0000e-02 eta: 1 day, 14:41:19 time: 0.4272 data_time: 0.0180 memory: 17087 grad_norm: 5.3483 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5209 loss: 1.5209 2022/08/04 04:33:52 - mmengine - INFO - Epoch(train) [85][540/1879] lr: 1.0000e-02 eta: 1 day, 14:41:10 time: 0.4321 data_time: 0.0146 memory: 17087 grad_norm: 5.3622 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3687 loss: 1.3687 2022/08/04 04:34:01 - mmengine - INFO - Epoch(train) [85][560/1879] lr: 1.0000e-02 eta: 1 day, 14:41:01 time: 0.4342 data_time: 0.0189 memory: 17087 grad_norm: 5.2683 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5368 loss: 1.5368 2022/08/04 04:34:10 - mmengine - INFO - Epoch(train) [85][580/1879] lr: 1.0000e-02 eta: 1 day, 14:40:53 time: 0.4269 data_time: 0.0154 memory: 17087 grad_norm: 5.4942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5850 loss: 1.5850 2022/08/04 04:34:18 - mmengine - INFO - Epoch(train) [85][600/1879] lr: 1.0000e-02 eta: 1 day, 14:40:44 time: 0.4264 data_time: 0.0146 memory: 17087 grad_norm: 5.3986 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5013 loss: 1.5013 2022/08/04 04:34:27 - mmengine - INFO - Epoch(train) [85][620/1879] lr: 1.0000e-02 eta: 1 day, 14:40:35 time: 0.4334 data_time: 0.0179 memory: 17087 grad_norm: 5.3896 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6075 loss: 1.6075 2022/08/04 04:34:36 - mmengine - INFO - Epoch(train) [85][640/1879] lr: 1.0000e-02 eta: 1 day, 14:40:27 time: 0.4430 data_time: 0.0154 memory: 17087 grad_norm: 5.2689 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3608 loss: 1.3608 2022/08/04 04:34:44 - mmengine - INFO - Epoch(train) [85][660/1879] lr: 1.0000e-02 eta: 1 day, 14:40:18 time: 0.4258 data_time: 0.0120 memory: 17087 grad_norm: 5.2519 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6584 loss: 1.6584 2022/08/04 04:34:53 - mmengine - INFO - Epoch(train) [85][680/1879] lr: 1.0000e-02 eta: 1 day, 14:40:10 time: 0.4355 data_time: 0.0181 memory: 17087 grad_norm: 5.3159 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4964 loss: 1.4964 2022/08/04 04:35:02 - mmengine - INFO - Epoch(train) [85][700/1879] lr: 1.0000e-02 eta: 1 day, 14:40:01 time: 0.4255 data_time: 0.0145 memory: 17087 grad_norm: 5.2592 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4619 loss: 1.4619 2022/08/04 04:35:11 - mmengine - INFO - Epoch(train) [85][720/1879] lr: 1.0000e-02 eta: 1 day, 14:39:53 time: 0.4552 data_time: 0.0169 memory: 17087 grad_norm: 5.2593 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4664 loss: 1.4664 2022/08/04 04:35:19 - mmengine - INFO - Epoch(train) [85][740/1879] lr: 1.0000e-02 eta: 1 day, 14:39:44 time: 0.4277 data_time: 0.0154 memory: 17087 grad_norm: 5.1682 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6085 loss: 1.6085 2022/08/04 04:35:28 - mmengine - INFO - Epoch(train) [85][760/1879] lr: 1.0000e-02 eta: 1 day, 14:39:36 time: 0.4458 data_time: 0.0191 memory: 17087 grad_norm: 5.2925 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3966 loss: 1.3966 2022/08/04 04:35:37 - mmengine - INFO - Epoch(train) [85][780/1879] lr: 1.0000e-02 eta: 1 day, 14:39:28 time: 0.4288 data_time: 0.0170 memory: 17087 grad_norm: 5.3652 top1_acc: 0.5000 top5_acc: 0.5000 loss_cls: 1.5340 loss: 1.5340 2022/08/04 04:35:45 - mmengine - INFO - Epoch(train) [85][800/1879] lr: 1.0000e-02 eta: 1 day, 14:39:19 time: 0.4311 data_time: 0.0157 memory: 17087 grad_norm: 5.0528 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5445 loss: 1.5445 2022/08/04 04:35:54 - mmengine - INFO - Epoch(train) [85][820/1879] lr: 1.0000e-02 eta: 1 day, 14:39:11 time: 0.4453 data_time: 0.0136 memory: 17087 grad_norm: 5.3099 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5953 loss: 1.5953 2022/08/04 04:36:03 - mmengine - INFO - Epoch(train) [85][840/1879] lr: 1.0000e-02 eta: 1 day, 14:39:03 time: 0.4563 data_time: 0.0204 memory: 17087 grad_norm: 5.2786 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5389 loss: 1.5389 2022/08/04 04:36:12 - mmengine - INFO - Epoch(train) [85][860/1879] lr: 1.0000e-02 eta: 1 day, 14:38:54 time: 0.4265 data_time: 0.0135 memory: 17087 grad_norm: 5.2555 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5040 loss: 1.5040 2022/08/04 04:36:21 - mmengine - INFO - Epoch(train) [85][880/1879] lr: 1.0000e-02 eta: 1 day, 14:38:46 time: 0.4356 data_time: 0.0186 memory: 17087 grad_norm: 5.2757 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4728 loss: 1.4728 2022/08/04 04:36:30 - mmengine - INFO - Epoch(train) [85][900/1879] lr: 1.0000e-02 eta: 1 day, 14:38:38 time: 0.4465 data_time: 0.0149 memory: 17087 grad_norm: 5.2230 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5460 loss: 1.5460 2022/08/04 04:36:39 - mmengine - INFO - Epoch(train) [85][920/1879] lr: 1.0000e-02 eta: 1 day, 14:38:30 time: 0.4480 data_time: 0.0195 memory: 17087 grad_norm: 5.1784 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4307 loss: 1.4307 2022/08/04 04:36:47 - mmengine - INFO - Epoch(train) [85][940/1879] lr: 1.0000e-02 eta: 1 day, 14:38:21 time: 0.4271 data_time: 0.0148 memory: 17087 grad_norm: 5.2417 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4523 loss: 1.4523 2022/08/04 04:36:56 - mmengine - INFO - Epoch(train) [85][960/1879] lr: 1.0000e-02 eta: 1 day, 14:38:13 time: 0.4350 data_time: 0.0156 memory: 17087 grad_norm: 5.4673 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.7667 loss: 1.7667 2022/08/04 04:37:04 - mmengine - INFO - Epoch(train) [85][980/1879] lr: 1.0000e-02 eta: 1 day, 14:38:04 time: 0.4267 data_time: 0.0138 memory: 17087 grad_norm: 5.2769 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.3890 loss: 1.3890 2022/08/04 04:37:13 - mmengine - INFO - Epoch(train) [85][1000/1879] lr: 1.0000e-02 eta: 1 day, 14:37:55 time: 0.4302 data_time: 0.0158 memory: 17087 grad_norm: 5.4534 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4257 loss: 1.4257 2022/08/04 04:37:22 - mmengine - INFO - Epoch(train) [85][1020/1879] lr: 1.0000e-02 eta: 1 day, 14:37:46 time: 0.4308 data_time: 0.0165 memory: 17087 grad_norm: 5.3386 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6288 loss: 1.6288 2022/08/04 04:37:30 - mmengine - INFO - Epoch(train) [85][1040/1879] lr: 1.0000e-02 eta: 1 day, 14:37:38 time: 0.4278 data_time: 0.0186 memory: 17087 grad_norm: 5.2603 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6325 loss: 1.6325 2022/08/04 04:37:39 - mmengine - INFO - Epoch(train) [85][1060/1879] lr: 1.0000e-02 eta: 1 day, 14:37:29 time: 0.4333 data_time: 0.0160 memory: 17087 grad_norm: 5.4268 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4018 loss: 1.4018 2022/08/04 04:37:47 - mmengine - INFO - Epoch(train) [85][1080/1879] lr: 1.0000e-02 eta: 1 day, 14:37:20 time: 0.4273 data_time: 0.0169 memory: 17087 grad_norm: 5.3354 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4117 loss: 1.4117 2022/08/04 04:37:57 - mmengine - INFO - Epoch(train) [85][1100/1879] lr: 1.0000e-02 eta: 1 day, 14:37:12 time: 0.4531 data_time: 0.0170 memory: 17087 grad_norm: 5.4431 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5265 loss: 1.5265 2022/08/04 04:38:05 - mmengine - INFO - Epoch(train) [85][1120/1879] lr: 1.0000e-02 eta: 1 day, 14:37:03 time: 0.4244 data_time: 0.0155 memory: 17087 grad_norm: 5.2500 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6315 loss: 1.6315 2022/08/04 04:38:14 - mmengine - INFO - Epoch(train) [85][1140/1879] lr: 1.0000e-02 eta: 1 day, 14:36:55 time: 0.4293 data_time: 0.0146 memory: 17087 grad_norm: 5.3550 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5266 loss: 1.5266 2022/08/04 04:38:23 - mmengine - INFO - Epoch(train) [85][1160/1879] lr: 1.0000e-02 eta: 1 day, 14:36:47 time: 0.4465 data_time: 0.0174 memory: 17087 grad_norm: 5.3491 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6243 loss: 1.6243 2022/08/04 04:38:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 04:38:31 - mmengine - INFO - Epoch(train) [85][1180/1879] lr: 1.0000e-02 eta: 1 day, 14:36:38 time: 0.4368 data_time: 0.0138 memory: 17087 grad_norm: 5.3916 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6404 loss: 1.6404 2022/08/04 04:38:40 - mmengine - INFO - Epoch(train) [85][1200/1879] lr: 1.0000e-02 eta: 1 day, 14:36:30 time: 0.4528 data_time: 0.0165 memory: 17087 grad_norm: 5.2451 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6051 loss: 1.6051 2022/08/04 04:38:49 - mmengine - INFO - Epoch(train) [85][1220/1879] lr: 1.0000e-02 eta: 1 day, 14:36:22 time: 0.4339 data_time: 0.0145 memory: 17087 grad_norm: 5.2752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5417 loss: 1.5417 2022/08/04 04:38:58 - mmengine - INFO - Epoch(train) [85][1240/1879] lr: 1.0000e-02 eta: 1 day, 14:36:14 time: 0.4550 data_time: 0.0155 memory: 17087 grad_norm: 5.1966 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5772 loss: 1.5772 2022/08/04 04:39:07 - mmengine - INFO - Epoch(train) [85][1260/1879] lr: 1.0000e-02 eta: 1 day, 14:36:06 time: 0.4303 data_time: 0.0173 memory: 17087 grad_norm: 5.3294 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6347 loss: 1.6347 2022/08/04 04:39:15 - mmengine - INFO - Epoch(train) [85][1280/1879] lr: 1.0000e-02 eta: 1 day, 14:35:57 time: 0.4266 data_time: 0.0156 memory: 17087 grad_norm: 5.3446 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.6203 loss: 1.6203 2022/08/04 04:39:24 - mmengine - INFO - Epoch(train) [85][1300/1879] lr: 1.0000e-02 eta: 1 day, 14:35:48 time: 0.4265 data_time: 0.0133 memory: 17087 grad_norm: 5.3249 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5491 loss: 1.5491 2022/08/04 04:39:33 - mmengine - INFO - Epoch(train) [85][1320/1879] lr: 1.0000e-02 eta: 1 day, 14:35:40 time: 0.4412 data_time: 0.0171 memory: 17087 grad_norm: 5.4145 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5045 loss: 1.5045 2022/08/04 04:39:42 - mmengine - INFO - Epoch(train) [85][1340/1879] lr: 1.0000e-02 eta: 1 day, 14:35:32 time: 0.4631 data_time: 0.0164 memory: 17087 grad_norm: 5.3947 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5219 loss: 1.5219 2022/08/04 04:39:51 - mmengine - INFO - Epoch(train) [85][1360/1879] lr: 1.0000e-02 eta: 1 day, 14:35:24 time: 0.4279 data_time: 0.0164 memory: 17087 grad_norm: 5.2160 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3574 loss: 1.3574 2022/08/04 04:40:00 - mmengine - INFO - Epoch(train) [85][1380/1879] lr: 1.0000e-02 eta: 1 day, 14:35:16 time: 0.4500 data_time: 0.0169 memory: 17087 grad_norm: 5.2413 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3812 loss: 1.3812 2022/08/04 04:40:08 - mmengine - INFO - Epoch(train) [85][1400/1879] lr: 1.0000e-02 eta: 1 day, 14:35:07 time: 0.4263 data_time: 0.0153 memory: 17087 grad_norm: 5.1918 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5755 loss: 1.5755 2022/08/04 04:40:17 - mmengine - INFO - Epoch(train) [85][1420/1879] lr: 1.0000e-02 eta: 1 day, 14:35:00 time: 0.4664 data_time: 0.0165 memory: 17087 grad_norm: 5.1799 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4575 loss: 1.4575 2022/08/04 04:40:26 - mmengine - INFO - Epoch(train) [85][1440/1879] lr: 1.0000e-02 eta: 1 day, 14:34:51 time: 0.4277 data_time: 0.0168 memory: 17087 grad_norm: 5.1972 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5189 loss: 1.5189 2022/08/04 04:40:35 - mmengine - INFO - Epoch(train) [85][1460/1879] lr: 1.0000e-02 eta: 1 day, 14:34:42 time: 0.4271 data_time: 0.0140 memory: 17087 grad_norm: 5.4155 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5366 loss: 1.5366 2022/08/04 04:40:43 - mmengine - INFO - Epoch(train) [85][1480/1879] lr: 1.0000e-02 eta: 1 day, 14:34:33 time: 0.4323 data_time: 0.0172 memory: 17087 grad_norm: 5.2871 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5296 loss: 1.5296 2022/08/04 04:40:52 - mmengine - INFO - Epoch(train) [85][1500/1879] lr: 1.0000e-02 eta: 1 day, 14:34:24 time: 0.4245 data_time: 0.0139 memory: 17087 grad_norm: 5.3242 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6104 loss: 1.6104 2022/08/04 04:41:01 - mmengine - INFO - Epoch(train) [85][1520/1879] lr: 1.0000e-02 eta: 1 day, 14:34:16 time: 0.4481 data_time: 0.0175 memory: 17087 grad_norm: 5.2600 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3719 loss: 1.3719 2022/08/04 04:41:09 - mmengine - INFO - Epoch(train) [85][1540/1879] lr: 1.0000e-02 eta: 1 day, 14:34:08 time: 0.4268 data_time: 0.0134 memory: 17087 grad_norm: 5.1877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4806 loss: 1.4806 2022/08/04 04:41:18 - mmengine - INFO - Epoch(train) [85][1560/1879] lr: 1.0000e-02 eta: 1 day, 14:33:59 time: 0.4398 data_time: 0.0166 memory: 17087 grad_norm: 5.2377 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6752 loss: 1.6752 2022/08/04 04:41:27 - mmengine - INFO - Epoch(train) [85][1580/1879] lr: 1.0000e-02 eta: 1 day, 14:33:50 time: 0.4251 data_time: 0.0136 memory: 17087 grad_norm: 5.3329 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3744 loss: 1.3744 2022/08/04 04:41:35 - mmengine - INFO - Epoch(train) [85][1600/1879] lr: 1.0000e-02 eta: 1 day, 14:33:42 time: 0.4271 data_time: 0.0151 memory: 17087 grad_norm: 5.3954 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.7210 loss: 1.7210 2022/08/04 04:41:44 - mmengine - INFO - Epoch(train) [85][1620/1879] lr: 1.0000e-02 eta: 1 day, 14:33:33 time: 0.4276 data_time: 0.0155 memory: 17087 grad_norm: 5.4977 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3568 loss: 1.3568 2022/08/04 04:41:52 - mmengine - INFO - Epoch(train) [85][1640/1879] lr: 1.0000e-02 eta: 1 day, 14:33:24 time: 0.4274 data_time: 0.0162 memory: 17087 grad_norm: 5.1777 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5471 loss: 1.5471 2022/08/04 04:42:01 - mmengine - INFO - Epoch(train) [85][1660/1879] lr: 1.0000e-02 eta: 1 day, 14:33:15 time: 0.4302 data_time: 0.0158 memory: 17087 grad_norm: 5.2954 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4822 loss: 1.4822 2022/08/04 04:42:09 - mmengine - INFO - Epoch(train) [85][1680/1879] lr: 1.0000e-02 eta: 1 day, 14:33:06 time: 0.4278 data_time: 0.0161 memory: 17087 grad_norm: 5.3425 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4987 loss: 1.4987 2022/08/04 04:42:18 - mmengine - INFO - Epoch(train) [85][1700/1879] lr: 1.0000e-02 eta: 1 day, 14:32:58 time: 0.4346 data_time: 0.0161 memory: 17087 grad_norm: 5.2673 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.5644 loss: 1.5644 2022/08/04 04:42:27 - mmengine - INFO - Epoch(train) [85][1720/1879] lr: 1.0000e-02 eta: 1 day, 14:32:49 time: 0.4275 data_time: 0.0156 memory: 17087 grad_norm: 5.2660 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5840 loss: 1.5840 2022/08/04 04:42:35 - mmengine - INFO - Epoch(train) [85][1740/1879] lr: 1.0000e-02 eta: 1 day, 14:32:40 time: 0.4258 data_time: 0.0138 memory: 17087 grad_norm: 5.3529 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3398 loss: 1.3398 2022/08/04 04:42:44 - mmengine - INFO - Epoch(train) [85][1760/1879] lr: 1.0000e-02 eta: 1 day, 14:32:32 time: 0.4320 data_time: 0.0172 memory: 17087 grad_norm: 5.3080 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3635 loss: 1.3635 2022/08/04 04:42:52 - mmengine - INFO - Epoch(train) [85][1780/1879] lr: 1.0000e-02 eta: 1 day, 14:32:23 time: 0.4255 data_time: 0.0121 memory: 17087 grad_norm: 5.3688 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5844 loss: 1.5844 2022/08/04 04:43:02 - mmengine - INFO - Epoch(train) [85][1800/1879] lr: 1.0000e-02 eta: 1 day, 14:32:16 time: 0.4673 data_time: 0.0174 memory: 17087 grad_norm: 5.3115 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4781 loss: 1.4781 2022/08/04 04:43:10 - mmengine - INFO - Epoch(train) [85][1820/1879] lr: 1.0000e-02 eta: 1 day, 14:32:07 time: 0.4285 data_time: 0.0177 memory: 17087 grad_norm: 5.1438 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.8365 loss: 1.8365 2022/08/04 04:43:19 - mmengine - INFO - Epoch(train) [85][1840/1879] lr: 1.0000e-02 eta: 1 day, 14:31:58 time: 0.4286 data_time: 0.0153 memory: 17087 grad_norm: 5.2908 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5506 loss: 1.5506 2022/08/04 04:43:28 - mmengine - INFO - Epoch(train) [85][1860/1879] lr: 1.0000e-02 eta: 1 day, 14:31:50 time: 0.4389 data_time: 0.0144 memory: 17087 grad_norm: 5.3549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7922 loss: 1.7922 2022/08/04 04:43:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 04:43:35 - mmengine - INFO - Epoch(train) [85][1879/1879] lr: 1.0000e-02 eta: 1 day, 14:31:50 time: 0.4075 data_time: 0.0138 memory: 17087 grad_norm: 5.3174 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.5700 loss: 1.5700 2022/08/04 04:43:44 - mmengine - INFO - Epoch(val) [85][20/155] eta: 0:00:57 time: 0.4283 data_time: 0.2594 memory: 2821 2022/08/04 04:43:49 - mmengine - INFO - Epoch(val) [85][40/155] eta: 0:00:30 time: 0.2644 data_time: 0.0927 memory: 2821 2022/08/04 04:43:55 - mmengine - INFO - Epoch(val) [85][60/155] eta: 0:00:28 time: 0.3020 data_time: 0.1347 memory: 2821 2022/08/04 04:44:01 - mmengine - INFO - Epoch(val) [85][80/155] eta: 0:00:20 time: 0.2690 data_time: 0.0996 memory: 2821 2022/08/04 04:44:07 - mmengine - INFO - Epoch(val) [85][100/155] eta: 0:00:16 time: 0.3021 data_time: 0.1353 memory: 2821 2022/08/04 04:44:12 - mmengine - INFO - Epoch(val) [85][120/155] eta: 0:00:09 time: 0.2850 data_time: 0.1198 memory: 2821 2022/08/04 04:44:19 - mmengine - INFO - Epoch(val) [85][140/155] eta: 0:00:04 time: 0.3146 data_time: 0.1368 memory: 2821 2022/08/04 04:44:24 - mmengine - INFO - Epoch(val) [85][155/155] acc/top1: 0.6560 acc/top5: 0.8645 acc/mean1: 0.6558 2022/08/04 04:44:35 - mmengine - INFO - Epoch(train) [86][20/1879] lr: 1.0000e-02 eta: 1 day, 14:31:22 time: 0.5667 data_time: 0.1256 memory: 17087 grad_norm: 5.2158 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4730 loss: 1.4730 2022/08/04 04:44:44 - mmengine - INFO - Epoch(train) [86][40/1879] lr: 1.0000e-02 eta: 1 day, 14:31:14 time: 0.4538 data_time: 0.0186 memory: 17087 grad_norm: 5.2133 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4231 loss: 1.4231 2022/08/04 04:44:53 - mmengine - INFO - Epoch(train) [86][60/1879] lr: 1.0000e-02 eta: 1 day, 14:31:05 time: 0.4252 data_time: 0.0141 memory: 17087 grad_norm: 5.3118 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5377 loss: 1.5377 2022/08/04 04:45:01 - mmengine - INFO - Epoch(train) [86][80/1879] lr: 1.0000e-02 eta: 1 day, 14:30:57 time: 0.4355 data_time: 0.0166 memory: 17087 grad_norm: 5.0443 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4062 loss: 1.4062 2022/08/04 04:45:10 - mmengine - INFO - Epoch(train) [86][100/1879] lr: 1.0000e-02 eta: 1 day, 14:30:48 time: 0.4263 data_time: 0.0155 memory: 17087 grad_norm: 5.3244 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6589 loss: 1.6589 2022/08/04 04:45:19 - mmengine - INFO - Epoch(train) [86][120/1879] lr: 1.0000e-02 eta: 1 day, 14:30:40 time: 0.4459 data_time: 0.0182 memory: 17087 grad_norm: 5.2891 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4228 loss: 1.4228 2022/08/04 04:45:27 - mmengine - INFO - Epoch(train) [86][140/1879] lr: 1.0000e-02 eta: 1 day, 14:30:31 time: 0.4290 data_time: 0.0148 memory: 17087 grad_norm: 5.2321 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3598 loss: 1.3598 2022/08/04 04:45:36 - mmengine - INFO - Epoch(train) [86][160/1879] lr: 1.0000e-02 eta: 1 day, 14:30:22 time: 0.4256 data_time: 0.0151 memory: 17087 grad_norm: 5.2329 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5438 loss: 1.5438 2022/08/04 04:45:45 - mmengine - INFO - Epoch(train) [86][180/1879] lr: 1.0000e-02 eta: 1 day, 14:30:13 time: 0.4296 data_time: 0.0155 memory: 17087 grad_norm: 5.3991 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4338 loss: 1.4338 2022/08/04 04:45:53 - mmengine - INFO - Epoch(train) [86][200/1879] lr: 1.0000e-02 eta: 1 day, 14:30:05 time: 0.4291 data_time: 0.0155 memory: 17087 grad_norm: 5.3689 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4143 loss: 1.4143 2022/08/04 04:46:02 - mmengine - INFO - Epoch(train) [86][220/1879] lr: 1.0000e-02 eta: 1 day, 14:29:56 time: 0.4348 data_time: 0.0157 memory: 17087 grad_norm: 5.4460 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5310 loss: 1.5310 2022/08/04 04:46:10 - mmengine - INFO - Epoch(train) [86][240/1879] lr: 1.0000e-02 eta: 1 day, 14:29:47 time: 0.4274 data_time: 0.0155 memory: 17087 grad_norm: 5.2086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4489 loss: 1.4489 2022/08/04 04:46:19 - mmengine - INFO - Epoch(train) [86][260/1879] lr: 1.0000e-02 eta: 1 day, 14:29:39 time: 0.4381 data_time: 0.0157 memory: 17087 grad_norm: 5.4272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3697 loss: 1.3697 2022/08/04 04:46:28 - mmengine - INFO - Epoch(train) [86][280/1879] lr: 1.0000e-02 eta: 1 day, 14:29:30 time: 0.4282 data_time: 0.0157 memory: 17087 grad_norm: 5.4014 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.8057 loss: 1.8057 2022/08/04 04:46:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 04:46:36 - mmengine - INFO - Epoch(train) [86][300/1879] lr: 1.0000e-02 eta: 1 day, 14:29:21 time: 0.4244 data_time: 0.0140 memory: 17087 grad_norm: 5.3359 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5027 loss: 1.5027 2022/08/04 04:46:45 - mmengine - INFO - Epoch(train) [86][320/1879] lr: 1.0000e-02 eta: 1 day, 14:29:13 time: 0.4324 data_time: 0.0191 memory: 17087 grad_norm: 5.3353 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5265 loss: 1.5265 2022/08/04 04:46:53 - mmengine - INFO - Epoch(train) [86][340/1879] lr: 1.0000e-02 eta: 1 day, 14:29:04 time: 0.4270 data_time: 0.0148 memory: 17087 grad_norm: 5.3482 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4828 loss: 1.4828 2022/08/04 04:47:02 - mmengine - INFO - Epoch(train) [86][360/1879] lr: 1.0000e-02 eta: 1 day, 14:28:55 time: 0.4337 data_time: 0.0173 memory: 17087 grad_norm: 5.3135 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4590 loss: 1.4590 2022/08/04 04:47:11 - mmengine - INFO - Epoch(train) [86][380/1879] lr: 1.0000e-02 eta: 1 day, 14:28:47 time: 0.4256 data_time: 0.0128 memory: 17087 grad_norm: 5.3281 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3474 loss: 1.3474 2022/08/04 04:47:19 - mmengine - INFO - Epoch(train) [86][400/1879] lr: 1.0000e-02 eta: 1 day, 14:28:38 time: 0.4325 data_time: 0.0181 memory: 17087 grad_norm: 5.3398 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6448 loss: 1.6448 2022/08/04 04:47:28 - mmengine - INFO - Epoch(train) [86][420/1879] lr: 1.0000e-02 eta: 1 day, 14:28:29 time: 0.4265 data_time: 0.0165 memory: 17087 grad_norm: 5.4172 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5686 loss: 1.5686 2022/08/04 04:47:37 - mmengine - INFO - Epoch(train) [86][440/1879] lr: 1.0000e-02 eta: 1 day, 14:28:21 time: 0.4376 data_time: 0.0151 memory: 17087 grad_norm: 5.2310 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5616 loss: 1.5616 2022/08/04 04:47:46 - mmengine - INFO - Epoch(train) [86][460/1879] lr: 1.0000e-02 eta: 1 day, 14:28:13 time: 0.4557 data_time: 0.0175 memory: 17087 grad_norm: 5.3283 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5876 loss: 1.5876 2022/08/04 04:47:54 - mmengine - INFO - Epoch(train) [86][480/1879] lr: 1.0000e-02 eta: 1 day, 14:28:04 time: 0.4247 data_time: 0.0151 memory: 17087 grad_norm: 5.2395 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3249 loss: 1.3249 2022/08/04 04:48:03 - mmengine - INFO - Epoch(train) [86][500/1879] lr: 1.0000e-02 eta: 1 day, 14:27:56 time: 0.4444 data_time: 0.0176 memory: 17087 grad_norm: 5.2750 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6596 loss: 1.6596 2022/08/04 04:48:12 - mmengine - INFO - Epoch(train) [86][520/1879] lr: 1.0000e-02 eta: 1 day, 14:27:48 time: 0.4404 data_time: 0.0177 memory: 17087 grad_norm: 5.4397 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3761 loss: 1.3761 2022/08/04 04:48:21 - mmengine - INFO - Epoch(train) [86][540/1879] lr: 1.0000e-02 eta: 1 day, 14:27:39 time: 0.4251 data_time: 0.0142 memory: 17087 grad_norm: 5.3018 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5932 loss: 1.5932 2022/08/04 04:48:29 - mmengine - INFO - Epoch(train) [86][560/1879] lr: 1.0000e-02 eta: 1 day, 14:27:30 time: 0.4372 data_time: 0.0233 memory: 17087 grad_norm: 5.2259 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4164 loss: 1.4164 2022/08/04 04:48:38 - mmengine - INFO - Epoch(train) [86][580/1879] lr: 1.0000e-02 eta: 1 day, 14:27:22 time: 0.4301 data_time: 0.0148 memory: 17087 grad_norm: 5.3428 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4673 loss: 1.4673 2022/08/04 04:48:46 - mmengine - INFO - Epoch(train) [86][600/1879] lr: 1.0000e-02 eta: 1 day, 14:27:13 time: 0.4257 data_time: 0.0171 memory: 17087 grad_norm: 5.3667 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4551 loss: 1.4551 2022/08/04 04:48:55 - mmengine - INFO - Epoch(train) [86][620/1879] lr: 1.0000e-02 eta: 1 day, 14:27:05 time: 0.4528 data_time: 0.0172 memory: 17087 grad_norm: 5.3234 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4446 loss: 1.4446 2022/08/04 04:49:04 - mmengine - INFO - Epoch(train) [86][640/1879] lr: 1.0000e-02 eta: 1 day, 14:26:56 time: 0.4321 data_time: 0.0194 memory: 17087 grad_norm: 5.2871 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3610 loss: 1.3610 2022/08/04 04:49:13 - mmengine - INFO - Epoch(train) [86][660/1879] lr: 1.0000e-02 eta: 1 day, 14:26:48 time: 0.4302 data_time: 0.0160 memory: 17087 grad_norm: 5.3878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.6525 loss: 1.6525 2022/08/04 04:49:21 - mmengine - INFO - Epoch(train) [86][680/1879] lr: 1.0000e-02 eta: 1 day, 14:26:39 time: 0.4268 data_time: 0.0157 memory: 17087 grad_norm: 5.2862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4045 loss: 1.4045 2022/08/04 04:49:31 - mmengine - INFO - Epoch(train) [86][700/1879] lr: 1.0000e-02 eta: 1 day, 14:26:32 time: 0.4640 data_time: 0.0152 memory: 17087 grad_norm: 5.2072 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5081 loss: 1.5081 2022/08/04 04:49:39 - mmengine - INFO - Epoch(train) [86][720/1879] lr: 1.0000e-02 eta: 1 day, 14:26:23 time: 0.4294 data_time: 0.0171 memory: 17087 grad_norm: 5.3300 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4497 loss: 1.4497 2022/08/04 04:49:48 - mmengine - INFO - Epoch(train) [86][740/1879] lr: 1.0000e-02 eta: 1 day, 14:26:15 time: 0.4390 data_time: 0.0202 memory: 17087 grad_norm: 5.3618 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3423 loss: 1.3423 2022/08/04 04:49:56 - mmengine - INFO - Epoch(train) [86][760/1879] lr: 1.0000e-02 eta: 1 day, 14:26:06 time: 0.4262 data_time: 0.0162 memory: 17087 grad_norm: 5.3024 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.5792 loss: 1.5792 2022/08/04 04:50:05 - mmengine - INFO - Epoch(train) [86][780/1879] lr: 1.0000e-02 eta: 1 day, 14:25:57 time: 0.4249 data_time: 0.0129 memory: 17087 grad_norm: 5.3111 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6700 loss: 1.6700 2022/08/04 04:50:14 - mmengine - INFO - Epoch(train) [86][800/1879] lr: 1.0000e-02 eta: 1 day, 14:25:48 time: 0.4349 data_time: 0.0179 memory: 17087 grad_norm: 5.3152 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4923 loss: 1.4923 2022/08/04 04:50:22 - mmengine - INFO - Epoch(train) [86][820/1879] lr: 1.0000e-02 eta: 1 day, 14:25:39 time: 0.4288 data_time: 0.0187 memory: 17087 grad_norm: 5.2732 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.6406 loss: 1.6406 2022/08/04 04:50:31 - mmengine - INFO - Epoch(train) [86][840/1879] lr: 1.0000e-02 eta: 1 day, 14:25:31 time: 0.4427 data_time: 0.0183 memory: 17087 grad_norm: 5.3534 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5469 loss: 1.5469 2022/08/04 04:50:40 - mmengine - INFO - Epoch(train) [86][860/1879] lr: 1.0000e-02 eta: 1 day, 14:25:23 time: 0.4307 data_time: 0.0163 memory: 17087 grad_norm: 5.2544 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5131 loss: 1.5131 2022/08/04 04:50:49 - mmengine - INFO - Epoch(train) [86][880/1879] lr: 1.0000e-02 eta: 1 day, 14:25:14 time: 0.4375 data_time: 0.0188 memory: 17087 grad_norm: 5.3482 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5067 loss: 1.5067 2022/08/04 04:50:57 - mmengine - INFO - Epoch(train) [86][900/1879] lr: 1.0000e-02 eta: 1 day, 14:25:05 time: 0.4250 data_time: 0.0144 memory: 17087 grad_norm: 5.3056 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2377 loss: 1.2377 2022/08/04 04:51:06 - mmengine - INFO - Epoch(train) [86][920/1879] lr: 1.0000e-02 eta: 1 day, 14:24:57 time: 0.4275 data_time: 0.0161 memory: 17087 grad_norm: 5.1898 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4603 loss: 1.4603 2022/08/04 04:51:14 - mmengine - INFO - Epoch(train) [86][940/1879] lr: 1.0000e-02 eta: 1 day, 14:24:48 time: 0.4358 data_time: 0.0145 memory: 17087 grad_norm: 5.2213 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4238 loss: 1.4238 2022/08/04 04:51:23 - mmengine - INFO - Epoch(train) [86][960/1879] lr: 1.0000e-02 eta: 1 day, 14:24:39 time: 0.4303 data_time: 0.0200 memory: 17087 grad_norm: 5.2215 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4791 loss: 1.4791 2022/08/04 04:51:32 - mmengine - INFO - Epoch(train) [86][980/1879] lr: 1.0000e-02 eta: 1 day, 14:24:32 time: 0.4525 data_time: 0.0161 memory: 17087 grad_norm: 5.2351 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3663 loss: 1.3663 2022/08/04 04:51:41 - mmengine - INFO - Epoch(train) [86][1000/1879] lr: 1.0000e-02 eta: 1 day, 14:24:23 time: 0.4329 data_time: 0.0222 memory: 17087 grad_norm: 5.1000 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4635 loss: 1.4635 2022/08/04 04:51:50 - mmengine - INFO - Epoch(train) [86][1020/1879] lr: 1.0000e-02 eta: 1 day, 14:24:15 time: 0.4545 data_time: 0.0154 memory: 17087 grad_norm: 5.1173 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4768 loss: 1.4768 2022/08/04 04:51:58 - mmengine - INFO - Epoch(train) [86][1040/1879] lr: 1.0000e-02 eta: 1 day, 14:24:07 time: 0.4310 data_time: 0.0203 memory: 17087 grad_norm: 5.2352 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3471 loss: 1.3471 2022/08/04 04:52:07 - mmengine - INFO - Epoch(train) [86][1060/1879] lr: 1.0000e-02 eta: 1 day, 14:23:58 time: 0.4283 data_time: 0.0146 memory: 17087 grad_norm: 5.4054 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5240 loss: 1.5240 2022/08/04 04:52:16 - mmengine - INFO - Epoch(train) [86][1080/1879] lr: 1.0000e-02 eta: 1 day, 14:23:49 time: 0.4302 data_time: 0.0159 memory: 17087 grad_norm: 5.2024 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4757 loss: 1.4757 2022/08/04 04:52:24 - mmengine - INFO - Epoch(train) [86][1100/1879] lr: 1.0000e-02 eta: 1 day, 14:23:40 time: 0.4262 data_time: 0.0144 memory: 17087 grad_norm: 5.3555 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3186 loss: 1.3186 2022/08/04 04:52:33 - mmengine - INFO - Epoch(train) [86][1120/1879] lr: 1.0000e-02 eta: 1 day, 14:23:33 time: 0.4539 data_time: 0.0194 memory: 17087 grad_norm: 5.4433 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4900 loss: 1.4900 2022/08/04 04:52:42 - mmengine - INFO - Epoch(train) [86][1140/1879] lr: 1.0000e-02 eta: 1 day, 14:23:24 time: 0.4262 data_time: 0.0149 memory: 17087 grad_norm: 5.2493 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4565 loss: 1.4565 2022/08/04 04:52:51 - mmengine - INFO - Epoch(train) [86][1160/1879] lr: 1.0000e-02 eta: 1 day, 14:23:16 time: 0.4443 data_time: 0.0234 memory: 17087 grad_norm: 5.2063 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4587 loss: 1.4587 2022/08/04 04:52:59 - mmengine - INFO - Epoch(train) [86][1180/1879] lr: 1.0000e-02 eta: 1 day, 14:23:07 time: 0.4377 data_time: 0.0145 memory: 17087 grad_norm: 5.4111 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.4838 loss: 1.4838 2022/08/04 04:53:08 - mmengine - INFO - Epoch(train) [86][1200/1879] lr: 1.0000e-02 eta: 1 day, 14:22:59 time: 0.4341 data_time: 0.0174 memory: 17087 grad_norm: 5.2025 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3346 loss: 1.3346 2022/08/04 04:53:17 - mmengine - INFO - Epoch(train) [86][1220/1879] lr: 1.0000e-02 eta: 1 day, 14:22:50 time: 0.4253 data_time: 0.0144 memory: 17087 grad_norm: 5.2370 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5116 loss: 1.5116 2022/08/04 04:53:25 - mmengine - INFO - Epoch(train) [86][1240/1879] lr: 1.0000e-02 eta: 1 day, 14:22:41 time: 0.4272 data_time: 0.0152 memory: 17087 grad_norm: 5.2715 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2703 loss: 1.2703 2022/08/04 04:53:34 - mmengine - INFO - Epoch(train) [86][1260/1879] lr: 1.0000e-02 eta: 1 day, 14:22:32 time: 0.4320 data_time: 0.0167 memory: 17087 grad_norm: 5.2069 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3604 loss: 1.3604 2022/08/04 04:53:43 - mmengine - INFO - Epoch(train) [86][1280/1879] lr: 1.0000e-02 eta: 1 day, 14:22:24 time: 0.4382 data_time: 0.0165 memory: 17087 grad_norm: 5.4562 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4166 loss: 1.4166 2022/08/04 04:53:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 04:53:52 - mmengine - INFO - Epoch(train) [86][1300/1879] lr: 1.0000e-02 eta: 1 day, 14:22:16 time: 0.4524 data_time: 0.0189 memory: 17087 grad_norm: 5.2508 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5684 loss: 1.5684 2022/08/04 04:54:00 - mmengine - INFO - Epoch(train) [86][1320/1879] lr: 1.0000e-02 eta: 1 day, 14:22:08 time: 0.4322 data_time: 0.0183 memory: 17087 grad_norm: 5.3668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5040 loss: 1.5040 2022/08/04 04:54:09 - mmengine - INFO - Epoch(train) [86][1340/1879] lr: 1.0000e-02 eta: 1 day, 14:21:59 time: 0.4272 data_time: 0.0140 memory: 17087 grad_norm: 5.3949 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6237 loss: 1.6237 2022/08/04 04:54:18 - mmengine - INFO - Epoch(train) [86][1360/1879] lr: 1.0000e-02 eta: 1 day, 14:21:51 time: 0.4426 data_time: 0.0206 memory: 17087 grad_norm: 5.3137 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6000 loss: 1.6000 2022/08/04 04:54:26 - mmengine - INFO - Epoch(train) [86][1380/1879] lr: 1.0000e-02 eta: 1 day, 14:21:42 time: 0.4266 data_time: 0.0153 memory: 17087 grad_norm: 5.3105 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5553 loss: 1.5553 2022/08/04 04:54:35 - mmengine - INFO - Epoch(train) [86][1400/1879] lr: 1.0000e-02 eta: 1 day, 14:21:33 time: 0.4300 data_time: 0.0153 memory: 17087 grad_norm: 5.2459 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4431 loss: 1.4431 2022/08/04 04:54:44 - mmengine - INFO - Epoch(train) [86][1420/1879] lr: 1.0000e-02 eta: 1 day, 14:21:25 time: 0.4409 data_time: 0.0179 memory: 17087 grad_norm: 5.1905 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5340 loss: 1.5340 2022/08/04 04:54:52 - mmengine - INFO - Epoch(train) [86][1440/1879] lr: 1.0000e-02 eta: 1 day, 14:21:16 time: 0.4354 data_time: 0.0173 memory: 17087 grad_norm: 5.2648 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7041 loss: 1.7041 2022/08/04 04:55:01 - mmengine - INFO - Epoch(train) [86][1460/1879] lr: 1.0000e-02 eta: 1 day, 14:21:08 time: 0.4400 data_time: 0.0146 memory: 17087 grad_norm: 5.1901 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.6426 loss: 1.6426 2022/08/04 04:55:10 - mmengine - INFO - Epoch(train) [86][1480/1879] lr: 1.0000e-02 eta: 1 day, 14:20:59 time: 0.4315 data_time: 0.0192 memory: 17087 grad_norm: 5.3502 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5750 loss: 1.5750 2022/08/04 04:55:18 - mmengine - INFO - Epoch(train) [86][1500/1879] lr: 1.0000e-02 eta: 1 day, 14:20:50 time: 0.4271 data_time: 0.0152 memory: 17087 grad_norm: 5.3293 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6060 loss: 1.6060 2022/08/04 04:55:27 - mmengine - INFO - Epoch(train) [86][1520/1879] lr: 1.0000e-02 eta: 1 day, 14:20:42 time: 0.4292 data_time: 0.0156 memory: 17087 grad_norm: 5.2917 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.5526 loss: 1.5526 2022/08/04 04:55:36 - mmengine - INFO - Epoch(train) [86][1540/1879] lr: 1.0000e-02 eta: 1 day, 14:20:34 time: 0.4544 data_time: 0.0156 memory: 17087 grad_norm: 5.2393 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5331 loss: 1.5331 2022/08/04 04:55:45 - mmengine - INFO - Epoch(train) [86][1560/1879] lr: 1.0000e-02 eta: 1 day, 14:20:25 time: 0.4315 data_time: 0.0208 memory: 17087 grad_norm: 5.2152 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4525 loss: 1.4525 2022/08/04 04:55:53 - mmengine - INFO - Epoch(train) [86][1580/1879] lr: 1.0000e-02 eta: 1 day, 14:20:17 time: 0.4289 data_time: 0.0147 memory: 17087 grad_norm: 5.2701 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5887 loss: 1.5887 2022/08/04 04:56:02 - mmengine - INFO - Epoch(train) [86][1600/1879] lr: 1.0000e-02 eta: 1 day, 14:20:09 time: 0.4500 data_time: 0.0168 memory: 17087 grad_norm: 5.2632 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5784 loss: 1.5784 2022/08/04 04:56:11 - mmengine - INFO - Epoch(train) [86][1620/1879] lr: 1.0000e-02 eta: 1 day, 14:20:00 time: 0.4281 data_time: 0.0152 memory: 17087 grad_norm: 5.3306 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3754 loss: 1.3754 2022/08/04 04:56:20 - mmengine - INFO - Epoch(train) [86][1640/1879] lr: 1.0000e-02 eta: 1 day, 14:19:52 time: 0.4580 data_time: 0.0158 memory: 17087 grad_norm: 5.3399 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5026 loss: 1.5026 2022/08/04 04:56:29 - mmengine - INFO - Epoch(train) [86][1660/1879] lr: 1.0000e-02 eta: 1 day, 14:19:44 time: 0.4260 data_time: 0.0150 memory: 17087 grad_norm: 5.2665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4183 loss: 1.4183 2022/08/04 04:56:37 - mmengine - INFO - Epoch(train) [86][1680/1879] lr: 1.0000e-02 eta: 1 day, 14:19:35 time: 0.4281 data_time: 0.0160 memory: 17087 grad_norm: 5.3884 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5529 loss: 1.5529 2022/08/04 04:56:46 - mmengine - INFO - Epoch(train) [86][1700/1879] lr: 1.0000e-02 eta: 1 day, 14:19:27 time: 0.4448 data_time: 0.0239 memory: 17087 grad_norm: 5.2961 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4698 loss: 1.4698 2022/08/04 04:56:55 - mmengine - INFO - Epoch(train) [86][1720/1879] lr: 1.0000e-02 eta: 1 day, 14:19:18 time: 0.4253 data_time: 0.0169 memory: 17087 grad_norm: 5.3414 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5396 loss: 1.5396 2022/08/04 04:57:03 - mmengine - INFO - Epoch(train) [86][1740/1879] lr: 1.0000e-02 eta: 1 day, 14:19:09 time: 0.4336 data_time: 0.0160 memory: 17087 grad_norm: 5.3001 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5733 loss: 1.5733 2022/08/04 04:57:12 - mmengine - INFO - Epoch(train) [86][1760/1879] lr: 1.0000e-02 eta: 1 day, 14:19:00 time: 0.4290 data_time: 0.0163 memory: 17087 grad_norm: 5.1613 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5371 loss: 1.5371 2022/08/04 04:57:21 - mmengine - INFO - Epoch(train) [86][1780/1879] lr: 1.0000e-02 eta: 1 day, 14:18:52 time: 0.4343 data_time: 0.0148 memory: 17087 grad_norm: 5.1629 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3922 loss: 1.3922 2022/08/04 04:57:29 - mmengine - INFO - Epoch(train) [86][1800/1879] lr: 1.0000e-02 eta: 1 day, 14:18:43 time: 0.4280 data_time: 0.0183 memory: 17087 grad_norm: 5.3755 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4806 loss: 1.4806 2022/08/04 04:57:38 - mmengine - INFO - Epoch(train) [86][1820/1879] lr: 1.0000e-02 eta: 1 day, 14:18:34 time: 0.4311 data_time: 0.0145 memory: 17087 grad_norm: 5.2180 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6368 loss: 1.6368 2022/08/04 04:57:46 - mmengine - INFO - Epoch(train) [86][1840/1879] lr: 1.0000e-02 eta: 1 day, 14:18:26 time: 0.4274 data_time: 0.0162 memory: 17087 grad_norm: 5.1186 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5788 loss: 1.5788 2022/08/04 04:57:55 - mmengine - INFO - Epoch(train) [86][1860/1879] lr: 1.0000e-02 eta: 1 day, 14:18:17 time: 0.4270 data_time: 0.0143 memory: 17087 grad_norm: 5.3277 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4358 loss: 1.4358 2022/08/04 04:58:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 04:58:03 - mmengine - INFO - Epoch(train) [86][1879/1879] lr: 1.0000e-02 eta: 1 day, 14:18:17 time: 0.4090 data_time: 0.0141 memory: 17087 grad_norm: 5.2033 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.4373 loss: 1.4373 2022/08/04 04:58:14 - mmengine - INFO - Epoch(train) [87][20/1879] lr: 1.0000e-02 eta: 1 day, 14:17:49 time: 0.5541 data_time: 0.1347 memory: 17087 grad_norm: 5.0809 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6451 loss: 1.6451 2022/08/04 04:58:23 - mmengine - INFO - Epoch(train) [87][40/1879] lr: 1.0000e-02 eta: 1 day, 14:17:41 time: 0.4553 data_time: 0.0169 memory: 17087 grad_norm: 5.2028 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3806 loss: 1.3806 2022/08/04 04:58:32 - mmengine - INFO - Epoch(train) [87][60/1879] lr: 1.0000e-02 eta: 1 day, 14:17:32 time: 0.4303 data_time: 0.0147 memory: 17087 grad_norm: 5.2608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3981 loss: 1.3981 2022/08/04 04:58:40 - mmengine - INFO - Epoch(train) [87][80/1879] lr: 1.0000e-02 eta: 1 day, 14:17:24 time: 0.4396 data_time: 0.0245 memory: 17087 grad_norm: 5.0823 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4942 loss: 1.4942 2022/08/04 04:58:49 - mmengine - INFO - Epoch(train) [87][100/1879] lr: 1.0000e-02 eta: 1 day, 14:17:15 time: 0.4242 data_time: 0.0143 memory: 17087 grad_norm: 5.2694 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6250 loss: 1.6250 2022/08/04 04:58:57 - mmengine - INFO - Epoch(train) [87][120/1879] lr: 1.0000e-02 eta: 1 day, 14:17:06 time: 0.4287 data_time: 0.0164 memory: 17087 grad_norm: 5.2998 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5960 loss: 1.5960 2022/08/04 04:59:06 - mmengine - INFO - Epoch(train) [87][140/1879] lr: 1.0000e-02 eta: 1 day, 14:16:58 time: 0.4296 data_time: 0.0156 memory: 17087 grad_norm: 5.2041 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4485 loss: 1.4485 2022/08/04 04:59:15 - mmengine - INFO - Epoch(train) [87][160/1879] lr: 1.0000e-02 eta: 1 day, 14:16:49 time: 0.4266 data_time: 0.0160 memory: 17087 grad_norm: 5.2994 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5459 loss: 1.5459 2022/08/04 04:59:24 - mmengine - INFO - Epoch(train) [87][180/1879] lr: 1.0000e-02 eta: 1 day, 14:16:41 time: 0.4536 data_time: 0.0166 memory: 17087 grad_norm: 5.2981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6406 loss: 1.6406 2022/08/04 04:59:32 - mmengine - INFO - Epoch(train) [87][200/1879] lr: 1.0000e-02 eta: 1 day, 14:16:32 time: 0.4274 data_time: 0.0156 memory: 17087 grad_norm: 5.0962 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5648 loss: 1.5648 2022/08/04 04:59:41 - mmengine - INFO - Epoch(train) [87][220/1879] lr: 1.0000e-02 eta: 1 day, 14:16:25 time: 0.4591 data_time: 0.0205 memory: 17087 grad_norm: 5.1574 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4091 loss: 1.4091 2022/08/04 04:59:50 - mmengine - INFO - Epoch(train) [87][240/1879] lr: 1.0000e-02 eta: 1 day, 14:16:16 time: 0.4275 data_time: 0.0163 memory: 17087 grad_norm: 5.4909 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5886 loss: 1.5886 2022/08/04 04:59:59 - mmengine - INFO - Epoch(train) [87][260/1879] lr: 1.0000e-02 eta: 1 day, 14:16:07 time: 0.4319 data_time: 0.0211 memory: 17087 grad_norm: 5.3334 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4894 loss: 1.4894 2022/08/04 05:00:07 - mmengine - INFO - Epoch(train) [87][280/1879] lr: 1.0000e-02 eta: 1 day, 14:15:58 time: 0.4264 data_time: 0.0149 memory: 17087 grad_norm: 5.4813 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7455 loss: 1.7455 2022/08/04 05:00:16 - mmengine - INFO - Epoch(train) [87][300/1879] lr: 1.0000e-02 eta: 1 day, 14:15:50 time: 0.4424 data_time: 0.0164 memory: 17087 grad_norm: 5.3188 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5146 loss: 1.5146 2022/08/04 05:00:25 - mmengine - INFO - Epoch(train) [87][320/1879] lr: 1.0000e-02 eta: 1 day, 14:15:41 time: 0.4281 data_time: 0.0155 memory: 17087 grad_norm: 5.2062 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4935 loss: 1.4935 2022/08/04 05:00:33 - mmengine - INFO - Epoch(train) [87][340/1879] lr: 1.0000e-02 eta: 1 day, 14:15:33 time: 0.4405 data_time: 0.0156 memory: 17087 grad_norm: 5.2373 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4046 loss: 1.4046 2022/08/04 05:00:42 - mmengine - INFO - Epoch(train) [87][360/1879] lr: 1.0000e-02 eta: 1 day, 14:15:25 time: 0.4436 data_time: 0.0178 memory: 17087 grad_norm: 5.3077 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5173 loss: 1.5173 2022/08/04 05:00:51 - mmengine - INFO - Epoch(train) [87][380/1879] lr: 1.0000e-02 eta: 1 day, 14:15:16 time: 0.4278 data_time: 0.0158 memory: 17087 grad_norm: 5.3260 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5791 loss: 1.5791 2022/08/04 05:01:00 - mmengine - INFO - Epoch(train) [87][400/1879] lr: 1.0000e-02 eta: 1 day, 14:15:08 time: 0.4480 data_time: 0.0182 memory: 17087 grad_norm: 5.3027 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4813 loss: 1.4813 2022/08/04 05:01:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 05:01:08 - mmengine - INFO - Epoch(train) [87][420/1879] lr: 1.0000e-02 eta: 1 day, 14:14:59 time: 0.4263 data_time: 0.0146 memory: 17087 grad_norm: 5.2533 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5306 loss: 1.5306 2022/08/04 05:01:17 - mmengine - INFO - Epoch(train) [87][440/1879] lr: 1.0000e-02 eta: 1 day, 14:14:51 time: 0.4312 data_time: 0.0196 memory: 17087 grad_norm: 5.2283 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4028 loss: 1.4028 2022/08/04 05:01:26 - mmengine - INFO - Epoch(train) [87][460/1879] lr: 1.0000e-02 eta: 1 day, 14:14:43 time: 0.4548 data_time: 0.0157 memory: 17087 grad_norm: 5.2285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4222 loss: 1.4222 2022/08/04 05:01:35 - mmengine - INFO - Epoch(train) [87][480/1879] lr: 1.0000e-02 eta: 1 day, 14:14:34 time: 0.4250 data_time: 0.0159 memory: 17087 grad_norm: 5.3467 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4023 loss: 1.4023 2022/08/04 05:01:44 - mmengine - INFO - Epoch(train) [87][500/1879] lr: 1.0000e-02 eta: 1 day, 14:14:26 time: 0.4562 data_time: 0.0160 memory: 17087 grad_norm: 5.2327 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4440 loss: 1.4440 2022/08/04 05:01:52 - mmengine - INFO - Epoch(train) [87][520/1879] lr: 1.0000e-02 eta: 1 day, 14:14:18 time: 0.4272 data_time: 0.0154 memory: 17087 grad_norm: 5.3848 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6242 loss: 1.6242 2022/08/04 05:02:01 - mmengine - INFO - Epoch(train) [87][540/1879] lr: 1.0000e-02 eta: 1 day, 14:14:09 time: 0.4364 data_time: 0.0200 memory: 17087 grad_norm: 5.2717 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5376 loss: 1.5376 2022/08/04 05:02:10 - mmengine - INFO - Epoch(train) [87][560/1879] lr: 1.0000e-02 eta: 1 day, 14:14:00 time: 0.4272 data_time: 0.0159 memory: 17087 grad_norm: 5.2061 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5177 loss: 1.5177 2022/08/04 05:02:18 - mmengine - INFO - Epoch(train) [87][580/1879] lr: 1.0000e-02 eta: 1 day, 14:13:52 time: 0.4357 data_time: 0.0164 memory: 17087 grad_norm: 5.2460 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5220 loss: 1.5220 2022/08/04 05:02:27 - mmengine - INFO - Epoch(train) [87][600/1879] lr: 1.0000e-02 eta: 1 day, 14:13:43 time: 0.4269 data_time: 0.0159 memory: 17087 grad_norm: 5.2730 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4471 loss: 1.4471 2022/08/04 05:02:36 - mmengine - INFO - Epoch(train) [87][620/1879] lr: 1.0000e-02 eta: 1 day, 14:13:34 time: 0.4268 data_time: 0.0148 memory: 17087 grad_norm: 5.4124 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6359 loss: 1.6359 2022/08/04 05:02:45 - mmengine - INFO - Epoch(train) [87][640/1879] lr: 1.0000e-02 eta: 1 day, 14:13:27 time: 0.4685 data_time: 0.0208 memory: 17087 grad_norm: 5.3305 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5286 loss: 1.5286 2022/08/04 05:02:54 - mmengine - INFO - Epoch(train) [87][660/1879] lr: 1.0000e-02 eta: 1 day, 14:13:18 time: 0.4344 data_time: 0.0168 memory: 17087 grad_norm: 5.4737 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5736 loss: 1.5736 2022/08/04 05:03:02 - mmengine - INFO - Epoch(train) [87][680/1879] lr: 1.0000e-02 eta: 1 day, 14:13:10 time: 0.4264 data_time: 0.0150 memory: 17087 grad_norm: 5.3293 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5335 loss: 1.5335 2022/08/04 05:03:11 - mmengine - INFO - Epoch(train) [87][700/1879] lr: 1.0000e-02 eta: 1 day, 14:13:01 time: 0.4325 data_time: 0.0175 memory: 17087 grad_norm: 5.4432 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5823 loss: 1.5823 2022/08/04 05:03:19 - mmengine - INFO - Epoch(train) [87][720/1879] lr: 1.0000e-02 eta: 1 day, 14:12:52 time: 0.4328 data_time: 0.0157 memory: 17087 grad_norm: 5.2897 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3341 loss: 1.3341 2022/08/04 05:03:28 - mmengine - INFO - Epoch(train) [87][740/1879] lr: 1.0000e-02 eta: 1 day, 14:12:44 time: 0.4283 data_time: 0.0137 memory: 17087 grad_norm: 5.2016 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3836 loss: 1.3836 2022/08/04 05:03:37 - mmengine - INFO - Epoch(train) [87][760/1879] lr: 1.0000e-02 eta: 1 day, 14:12:35 time: 0.4269 data_time: 0.0152 memory: 17087 grad_norm: 5.3338 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4822 loss: 1.4822 2022/08/04 05:03:45 - mmengine - INFO - Epoch(train) [87][780/1879] lr: 1.0000e-02 eta: 1 day, 14:12:27 time: 0.4433 data_time: 0.0152 memory: 17087 grad_norm: 5.3643 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4721 loss: 1.4721 2022/08/04 05:03:54 - mmengine - INFO - Epoch(train) [87][800/1879] lr: 1.0000e-02 eta: 1 day, 14:12:19 time: 0.4446 data_time: 0.0177 memory: 17087 grad_norm: 5.4973 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5475 loss: 1.5475 2022/08/04 05:04:03 - mmengine - INFO - Epoch(train) [87][820/1879] lr: 1.0000e-02 eta: 1 day, 14:12:10 time: 0.4280 data_time: 0.0166 memory: 17087 grad_norm: 5.2008 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4432 loss: 1.4432 2022/08/04 05:04:12 - mmengine - INFO - Epoch(train) [87][840/1879] lr: 1.0000e-02 eta: 1 day, 14:12:01 time: 0.4320 data_time: 0.0156 memory: 17087 grad_norm: 5.2597 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3996 loss: 1.3996 2022/08/04 05:04:20 - mmengine - INFO - Epoch(train) [87][860/1879] lr: 1.0000e-02 eta: 1 day, 14:11:52 time: 0.4297 data_time: 0.0193 memory: 17087 grad_norm: 5.3681 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7422 loss: 1.7422 2022/08/04 05:04:29 - mmengine - INFO - Epoch(train) [87][880/1879] lr: 1.0000e-02 eta: 1 day, 14:11:44 time: 0.4280 data_time: 0.0150 memory: 17087 grad_norm: 5.2486 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3639 loss: 1.3639 2022/08/04 05:04:37 - mmengine - INFO - Epoch(train) [87][900/1879] lr: 1.0000e-02 eta: 1 day, 14:11:35 time: 0.4263 data_time: 0.0150 memory: 17087 grad_norm: 5.3905 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6369 loss: 1.6369 2022/08/04 05:04:46 - mmengine - INFO - Epoch(train) [87][920/1879] lr: 1.0000e-02 eta: 1 day, 14:11:27 time: 0.4461 data_time: 0.0163 memory: 17087 grad_norm: 5.3226 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5225 loss: 1.5225 2022/08/04 05:04:55 - mmengine - INFO - Epoch(train) [87][940/1879] lr: 1.0000e-02 eta: 1 day, 14:11:18 time: 0.4313 data_time: 0.0171 memory: 17087 grad_norm: 5.2664 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7020 loss: 1.7020 2022/08/04 05:05:03 - mmengine - INFO - Epoch(train) [87][960/1879] lr: 1.0000e-02 eta: 1 day, 14:11:10 time: 0.4322 data_time: 0.0214 memory: 17087 grad_norm: 5.4570 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4291 loss: 1.4291 2022/08/04 05:05:12 - mmengine - INFO - Epoch(train) [87][980/1879] lr: 1.0000e-02 eta: 1 day, 14:11:01 time: 0.4322 data_time: 0.0141 memory: 17087 grad_norm: 5.4354 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6477 loss: 1.6477 2022/08/04 05:05:21 - mmengine - INFO - Epoch(train) [87][1000/1879] lr: 1.0000e-02 eta: 1 day, 14:10:52 time: 0.4345 data_time: 0.0182 memory: 17087 grad_norm: 5.2774 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3871 loss: 1.3871 2022/08/04 05:05:29 - mmengine - INFO - Epoch(train) [87][1020/1879] lr: 1.0000e-02 eta: 1 day, 14:10:43 time: 0.4254 data_time: 0.0132 memory: 17087 grad_norm: 5.3142 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5338 loss: 1.5338 2022/08/04 05:05:38 - mmengine - INFO - Epoch(train) [87][1040/1879] lr: 1.0000e-02 eta: 1 day, 14:10:35 time: 0.4278 data_time: 0.0162 memory: 17087 grad_norm: 5.3484 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3604 loss: 1.3604 2022/08/04 05:05:46 - mmengine - INFO - Epoch(train) [87][1060/1879] lr: 1.0000e-02 eta: 1 day, 14:10:26 time: 0.4270 data_time: 0.0145 memory: 17087 grad_norm: 5.2677 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4073 loss: 1.4073 2022/08/04 05:05:55 - mmengine - INFO - Epoch(train) [87][1080/1879] lr: 1.0000e-02 eta: 1 day, 14:10:17 time: 0.4314 data_time: 0.0186 memory: 17087 grad_norm: 5.5200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4985 loss: 1.4985 2022/08/04 05:06:04 - mmengine - INFO - Epoch(train) [87][1100/1879] lr: 1.0000e-02 eta: 1 day, 14:10:09 time: 0.4481 data_time: 0.0139 memory: 17087 grad_norm: 5.2822 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7054 loss: 1.7054 2022/08/04 05:06:13 - mmengine - INFO - Epoch(train) [87][1120/1879] lr: 1.0000e-02 eta: 1 day, 14:10:01 time: 0.4290 data_time: 0.0164 memory: 17087 grad_norm: 5.3162 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4692 loss: 1.4692 2022/08/04 05:06:21 - mmengine - INFO - Epoch(train) [87][1140/1879] lr: 1.0000e-02 eta: 1 day, 14:09:52 time: 0.4373 data_time: 0.0167 memory: 17087 grad_norm: 5.2339 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6214 loss: 1.6214 2022/08/04 05:06:30 - mmengine - INFO - Epoch(train) [87][1160/1879] lr: 1.0000e-02 eta: 1 day, 14:09:43 time: 0.4287 data_time: 0.0159 memory: 17087 grad_norm: 5.2580 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.6636 loss: 1.6636 2022/08/04 05:06:39 - mmengine - INFO - Epoch(train) [87][1180/1879] lr: 1.0000e-02 eta: 1 day, 14:09:36 time: 0.4553 data_time: 0.0133 memory: 17087 grad_norm: 5.3649 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4647 loss: 1.4647 2022/08/04 05:06:48 - mmengine - INFO - Epoch(train) [87][1200/1879] lr: 1.0000e-02 eta: 1 day, 14:09:27 time: 0.4256 data_time: 0.0162 memory: 17087 grad_norm: 5.1655 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3567 loss: 1.3567 2022/08/04 05:06:56 - mmengine - INFO - Epoch(train) [87][1220/1879] lr: 1.0000e-02 eta: 1 day, 14:09:18 time: 0.4248 data_time: 0.0138 memory: 17087 grad_norm: 5.2571 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5166 loss: 1.5166 2022/08/04 05:07:05 - mmengine - INFO - Epoch(train) [87][1240/1879] lr: 1.0000e-02 eta: 1 day, 14:09:10 time: 0.4490 data_time: 0.0181 memory: 17087 grad_norm: 5.2177 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5989 loss: 1.5989 2022/08/04 05:07:14 - mmengine - INFO - Epoch(train) [87][1260/1879] lr: 1.0000e-02 eta: 1 day, 14:09:01 time: 0.4259 data_time: 0.0154 memory: 17087 grad_norm: 5.2617 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3629 loss: 1.3629 2022/08/04 05:07:23 - mmengine - INFO - Epoch(train) [87][1280/1879] lr: 1.0000e-02 eta: 1 day, 14:08:53 time: 0.4561 data_time: 0.0178 memory: 17087 grad_norm: 5.4078 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5774 loss: 1.5774 2022/08/04 05:07:31 - mmengine - INFO - Epoch(train) [87][1300/1879] lr: 1.0000e-02 eta: 1 day, 14:08:45 time: 0.4285 data_time: 0.0150 memory: 17087 grad_norm: 5.2549 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4395 loss: 1.4395 2022/08/04 05:07:40 - mmengine - INFO - Epoch(train) [87][1320/1879] lr: 1.0000e-02 eta: 1 day, 14:08:36 time: 0.4288 data_time: 0.0162 memory: 17087 grad_norm: 5.3745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4852 loss: 1.4852 2022/08/04 05:07:48 - mmengine - INFO - Epoch(train) [87][1340/1879] lr: 1.0000e-02 eta: 1 day, 14:08:27 time: 0.4266 data_time: 0.0145 memory: 17087 grad_norm: 5.3155 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5838 loss: 1.5838 2022/08/04 05:07:57 - mmengine - INFO - Epoch(train) [87][1360/1879] lr: 1.0000e-02 eta: 1 day, 14:08:18 time: 0.4282 data_time: 0.0157 memory: 17087 grad_norm: 5.4149 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4786 loss: 1.4786 2022/08/04 05:08:06 - mmengine - INFO - Epoch(train) [87][1380/1879] lr: 1.0000e-02 eta: 1 day, 14:08:10 time: 0.4307 data_time: 0.0181 memory: 17087 grad_norm: 5.5042 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7807 loss: 1.7807 2022/08/04 05:08:14 - mmengine - INFO - Epoch(train) [87][1400/1879] lr: 1.0000e-02 eta: 1 day, 14:08:01 time: 0.4317 data_time: 0.0172 memory: 17087 grad_norm: 5.2971 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5837 loss: 1.5837 2022/08/04 05:08:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 05:08:23 - mmengine - INFO - Epoch(train) [87][1420/1879] lr: 1.0000e-02 eta: 1 day, 14:07:52 time: 0.4266 data_time: 0.0145 memory: 17087 grad_norm: 5.2238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6153 loss: 1.6153 2022/08/04 05:08:32 - mmengine - INFO - Epoch(train) [87][1440/1879] lr: 1.0000e-02 eta: 1 day, 14:07:44 time: 0.4538 data_time: 0.0161 memory: 17087 grad_norm: 5.3118 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5315 loss: 1.5315 2022/08/04 05:08:41 - mmengine - INFO - Epoch(train) [87][1460/1879] lr: 1.0000e-02 eta: 1 day, 14:07:36 time: 0.4286 data_time: 0.0181 memory: 17087 grad_norm: 5.2871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4717 loss: 1.4717 2022/08/04 05:08:50 - mmengine - INFO - Epoch(train) [87][1480/1879] lr: 1.0000e-02 eta: 1 day, 14:07:28 time: 0.4490 data_time: 0.0169 memory: 17087 grad_norm: 5.3256 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4888 loss: 1.4888 2022/08/04 05:08:58 - mmengine - INFO - Epoch(train) [87][1500/1879] lr: 1.0000e-02 eta: 1 day, 14:07:19 time: 0.4255 data_time: 0.0133 memory: 17087 grad_norm: 5.2507 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5595 loss: 1.5595 2022/08/04 05:09:07 - mmengine - INFO - Epoch(train) [87][1520/1879] lr: 1.0000e-02 eta: 1 day, 14:07:10 time: 0.4280 data_time: 0.0155 memory: 17087 grad_norm: 5.3099 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5553 loss: 1.5553 2022/08/04 05:09:15 - mmengine - INFO - Epoch(train) [87][1540/1879] lr: 1.0000e-02 eta: 1 day, 14:07:01 time: 0.4298 data_time: 0.0178 memory: 17087 grad_norm: 5.2751 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4665 loss: 1.4665 2022/08/04 05:09:24 - mmengine - INFO - Epoch(train) [87][1560/1879] lr: 1.0000e-02 eta: 1 day, 14:06:53 time: 0.4300 data_time: 0.0160 memory: 17087 grad_norm: 5.4223 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4656 loss: 1.4656 2022/08/04 05:09:33 - mmengine - INFO - Epoch(train) [87][1580/1879] lr: 1.0000e-02 eta: 1 day, 14:06:45 time: 0.4508 data_time: 0.0179 memory: 17087 grad_norm: 5.2983 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4584 loss: 1.4584 2022/08/04 05:09:41 - mmengine - INFO - Epoch(train) [87][1600/1879] lr: 1.0000e-02 eta: 1 day, 14:06:36 time: 0.4286 data_time: 0.0158 memory: 17087 grad_norm: 5.3295 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4288 loss: 1.4288 2022/08/04 05:09:50 - mmengine - INFO - Epoch(train) [87][1620/1879] lr: 1.0000e-02 eta: 1 day, 14:06:27 time: 0.4294 data_time: 0.0158 memory: 17087 grad_norm: 5.2954 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4707 loss: 1.4707 2022/08/04 05:09:59 - mmengine - INFO - Epoch(train) [87][1640/1879] lr: 1.0000e-02 eta: 1 day, 14:06:18 time: 0.4274 data_time: 0.0151 memory: 17087 grad_norm: 5.1452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5275 loss: 1.5275 2022/08/04 05:10:07 - mmengine - INFO - Epoch(train) [87][1660/1879] lr: 1.0000e-02 eta: 1 day, 14:06:10 time: 0.4260 data_time: 0.0146 memory: 17087 grad_norm: 5.1934 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5564 loss: 1.5564 2022/08/04 05:10:16 - mmengine - INFO - Epoch(train) [87][1680/1879] lr: 1.0000e-02 eta: 1 day, 14:06:02 time: 0.4578 data_time: 0.0147 memory: 17087 grad_norm: 5.2678 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5365 loss: 1.5365 2022/08/04 05:10:25 - mmengine - INFO - Epoch(train) [87][1700/1879] lr: 1.0000e-02 eta: 1 day, 14:05:53 time: 0.4250 data_time: 0.0141 memory: 17087 grad_norm: 5.2268 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 1.4442 loss: 1.4442 2022/08/04 05:10:34 - mmengine - INFO - Epoch(train) [87][1720/1879] lr: 1.0000e-02 eta: 1 day, 14:05:45 time: 0.4348 data_time: 0.0226 memory: 17087 grad_norm: 5.3157 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4120 loss: 1.4120 2022/08/04 05:10:42 - mmengine - INFO - Epoch(train) [87][1740/1879] lr: 1.0000e-02 eta: 1 day, 14:05:36 time: 0.4253 data_time: 0.0144 memory: 17087 grad_norm: 5.2432 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5465 loss: 1.5465 2022/08/04 05:10:51 - mmengine - INFO - Epoch(train) [87][1760/1879] lr: 1.0000e-02 eta: 1 day, 14:05:28 time: 0.4567 data_time: 0.0171 memory: 17087 grad_norm: 5.2526 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5124 loss: 1.5124 2022/08/04 05:11:00 - mmengine - INFO - Epoch(train) [87][1780/1879] lr: 1.0000e-02 eta: 1 day, 14:05:19 time: 0.4252 data_time: 0.0125 memory: 17087 grad_norm: 5.2629 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6297 loss: 1.6297 2022/08/04 05:11:08 - mmengine - INFO - Epoch(train) [87][1800/1879] lr: 1.0000e-02 eta: 1 day, 14:05:11 time: 0.4321 data_time: 0.0208 memory: 17087 grad_norm: 5.1328 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4282 loss: 1.4282 2022/08/04 05:11:17 - mmengine - INFO - Epoch(train) [87][1820/1879] lr: 1.0000e-02 eta: 1 day, 14:05:02 time: 0.4300 data_time: 0.0140 memory: 17087 grad_norm: 5.1919 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4216 loss: 1.4216 2022/08/04 05:11:26 - mmengine - INFO - Epoch(train) [87][1840/1879] lr: 1.0000e-02 eta: 1 day, 14:04:53 time: 0.4288 data_time: 0.0162 memory: 17087 grad_norm: 5.1762 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6247 loss: 1.6247 2022/08/04 05:11:35 - mmengine - INFO - Epoch(train) [87][1860/1879] lr: 1.0000e-02 eta: 1 day, 14:04:45 time: 0.4550 data_time: 0.0155 memory: 17087 grad_norm: 5.2222 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4135 loss: 1.4135 2022/08/04 05:11:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 05:11:43 - mmengine - INFO - Epoch(train) [87][1879/1879] lr: 1.0000e-02 eta: 1 day, 14:04:45 time: 0.4082 data_time: 0.0151 memory: 17087 grad_norm: 5.5225 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.5145 loss: 1.5145 2022/08/04 05:11:54 - mmengine - INFO - Epoch(train) [88][20/1879] lr: 1.0000e-02 eta: 1 day, 14:04:17 time: 0.5526 data_time: 0.1119 memory: 17087 grad_norm: 5.1237 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4549 loss: 1.4549 2022/08/04 05:12:02 - mmengine - INFO - Epoch(train) [88][40/1879] lr: 1.0000e-02 eta: 1 day, 14:04:09 time: 0.4295 data_time: 0.0169 memory: 17087 grad_norm: 5.2910 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6318 loss: 1.6318 2022/08/04 05:12:11 - mmengine - INFO - Epoch(train) [88][60/1879] lr: 1.0000e-02 eta: 1 day, 14:04:01 time: 0.4469 data_time: 0.0173 memory: 17087 grad_norm: 5.1511 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5406 loss: 1.5406 2022/08/04 05:12:20 - mmengine - INFO - Epoch(train) [88][80/1879] lr: 1.0000e-02 eta: 1 day, 14:03:52 time: 0.4408 data_time: 0.0176 memory: 17087 grad_norm: 5.2946 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6239 loss: 1.6239 2022/08/04 05:12:29 - mmengine - INFO - Epoch(train) [88][100/1879] lr: 1.0000e-02 eta: 1 day, 14:03:43 time: 0.4279 data_time: 0.0181 memory: 17087 grad_norm: 5.2161 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4066 loss: 1.4066 2022/08/04 05:12:37 - mmengine - INFO - Epoch(train) [88][120/1879] lr: 1.0000e-02 eta: 1 day, 14:03:35 time: 0.4337 data_time: 0.0180 memory: 17087 grad_norm: 5.2055 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3914 loss: 1.3914 2022/08/04 05:12:46 - mmengine - INFO - Epoch(train) [88][140/1879] lr: 1.0000e-02 eta: 1 day, 14:03:26 time: 0.4245 data_time: 0.0155 memory: 17087 grad_norm: 5.3332 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4255 loss: 1.4255 2022/08/04 05:12:54 - mmengine - INFO - Epoch(train) [88][160/1879] lr: 1.0000e-02 eta: 1 day, 14:03:17 time: 0.4321 data_time: 0.0168 memory: 17087 grad_norm: 5.2428 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3793 loss: 1.3793 2022/08/04 05:13:03 - mmengine - INFO - Epoch(train) [88][180/1879] lr: 1.0000e-02 eta: 1 day, 14:03:09 time: 0.4272 data_time: 0.0136 memory: 17087 grad_norm: 5.3257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4746 loss: 1.4746 2022/08/04 05:13:12 - mmengine - INFO - Epoch(train) [88][200/1879] lr: 1.0000e-02 eta: 1 day, 14:03:01 time: 0.4580 data_time: 0.0171 memory: 17087 grad_norm: 5.0590 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5735 loss: 1.5735 2022/08/04 05:13:21 - mmengine - INFO - Epoch(train) [88][220/1879] lr: 1.0000e-02 eta: 1 day, 14:02:52 time: 0.4267 data_time: 0.0143 memory: 17087 grad_norm: 5.3687 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5874 loss: 1.5874 2022/08/04 05:13:30 - mmengine - INFO - Epoch(train) [88][240/1879] lr: 1.0000e-02 eta: 1 day, 14:02:44 time: 0.4512 data_time: 0.0154 memory: 17087 grad_norm: 5.3142 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2959 loss: 1.2959 2022/08/04 05:13:38 - mmengine - INFO - Epoch(train) [88][260/1879] lr: 1.0000e-02 eta: 1 day, 14:02:36 time: 0.4278 data_time: 0.0139 memory: 17087 grad_norm: 5.1263 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5536 loss: 1.5536 2022/08/04 05:13:47 - mmengine - INFO - Epoch(train) [88][280/1879] lr: 1.0000e-02 eta: 1 day, 14:02:27 time: 0.4267 data_time: 0.0169 memory: 17087 grad_norm: 5.3452 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6446 loss: 1.6446 2022/08/04 05:13:56 - mmengine - INFO - Epoch(train) [88][300/1879] lr: 1.0000e-02 eta: 1 day, 14:02:19 time: 0.4460 data_time: 0.0165 memory: 17087 grad_norm: 5.3180 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5837 loss: 1.5837 2022/08/04 05:14:04 - mmengine - INFO - Epoch(train) [88][320/1879] lr: 1.0000e-02 eta: 1 day, 14:02:10 time: 0.4301 data_time: 0.0168 memory: 17087 grad_norm: 5.2480 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5111 loss: 1.5111 2022/08/04 05:14:13 - mmengine - INFO - Epoch(train) [88][340/1879] lr: 1.0000e-02 eta: 1 day, 14:02:01 time: 0.4332 data_time: 0.0147 memory: 17087 grad_norm: 5.3181 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5229 loss: 1.5229 2022/08/04 05:14:22 - mmengine - INFO - Epoch(train) [88][360/1879] lr: 1.0000e-02 eta: 1 day, 14:01:53 time: 0.4329 data_time: 0.0167 memory: 17087 grad_norm: 5.2866 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5902 loss: 1.5902 2022/08/04 05:14:30 - mmengine - INFO - Epoch(train) [88][380/1879] lr: 1.0000e-02 eta: 1 day, 14:01:44 time: 0.4302 data_time: 0.0160 memory: 17087 grad_norm: 5.3131 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4715 loss: 1.4715 2022/08/04 05:14:39 - mmengine - INFO - Epoch(train) [88][400/1879] lr: 1.0000e-02 eta: 1 day, 14:01:35 time: 0.4273 data_time: 0.0164 memory: 17087 grad_norm: 5.3222 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.3553 loss: 1.3553 2022/08/04 05:14:47 - mmengine - INFO - Epoch(train) [88][420/1879] lr: 1.0000e-02 eta: 1 day, 14:01:26 time: 0.4257 data_time: 0.0148 memory: 17087 grad_norm: 5.4338 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5597 loss: 1.5597 2022/08/04 05:14:56 - mmengine - INFO - Epoch(train) [88][440/1879] lr: 1.0000e-02 eta: 1 day, 14:01:18 time: 0.4347 data_time: 0.0175 memory: 17087 grad_norm: 5.1796 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5037 loss: 1.5037 2022/08/04 05:15:05 - mmengine - INFO - Epoch(train) [88][460/1879] lr: 1.0000e-02 eta: 1 day, 14:01:09 time: 0.4257 data_time: 0.0148 memory: 17087 grad_norm: 5.2630 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5075 loss: 1.5075 2022/08/04 05:15:14 - mmengine - INFO - Epoch(train) [88][480/1879] lr: 1.0000e-02 eta: 1 day, 14:01:01 time: 0.4526 data_time: 0.0182 memory: 17087 grad_norm: 5.2758 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4482 loss: 1.4482 2022/08/04 05:15:22 - mmengine - INFO - Epoch(train) [88][500/1879] lr: 1.0000e-02 eta: 1 day, 14:00:53 time: 0.4298 data_time: 0.0153 memory: 17087 grad_norm: 5.4225 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4281 loss: 1.4281 2022/08/04 05:15:31 - mmengine - INFO - Epoch(train) [88][520/1879] lr: 1.0000e-02 eta: 1 day, 14:00:44 time: 0.4293 data_time: 0.0168 memory: 17087 grad_norm: 5.2758 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4903 loss: 1.4903 2022/08/04 05:15:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 05:15:40 - mmengine - INFO - Epoch(train) [88][540/1879] lr: 1.0000e-02 eta: 1 day, 14:00:36 time: 0.4500 data_time: 0.0138 memory: 17087 grad_norm: 5.2469 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4166 loss: 1.4166 2022/08/04 05:15:48 - mmengine - INFO - Epoch(train) [88][560/1879] lr: 1.0000e-02 eta: 1 day, 14:00:27 time: 0.4275 data_time: 0.0163 memory: 17087 grad_norm: 5.2946 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.3973 loss: 1.3973 2022/08/04 05:15:57 - mmengine - INFO - Epoch(train) [88][580/1879] lr: 1.0000e-02 eta: 1 day, 14:00:18 time: 0.4245 data_time: 0.0133 memory: 17087 grad_norm: 5.2488 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3879 loss: 1.3879 2022/08/04 05:16:06 - mmengine - INFO - Epoch(train) [88][600/1879] lr: 1.0000e-02 eta: 1 day, 14:00:11 time: 0.4740 data_time: 0.0240 memory: 17087 grad_norm: 5.3524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4640 loss: 1.4640 2022/08/04 05:16:15 - mmengine - INFO - Epoch(train) [88][620/1879] lr: 1.0000e-02 eta: 1 day, 14:00:02 time: 0.4255 data_time: 0.0136 memory: 17087 grad_norm: 5.3772 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4771 loss: 1.4771 2022/08/04 05:16:24 - mmengine - INFO - Epoch(train) [88][640/1879] lr: 1.0000e-02 eta: 1 day, 13:59:54 time: 0.4406 data_time: 0.0225 memory: 17087 grad_norm: 5.4038 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5826 loss: 1.5826 2022/08/04 05:16:32 - mmengine - INFO - Epoch(train) [88][660/1879] lr: 1.0000e-02 eta: 1 day, 13:59:45 time: 0.4259 data_time: 0.0137 memory: 17087 grad_norm: 5.3402 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3827 loss: 1.3827 2022/08/04 05:16:41 - mmengine - INFO - Epoch(train) [88][680/1879] lr: 1.0000e-02 eta: 1 day, 13:59:36 time: 0.4293 data_time: 0.0162 memory: 17087 grad_norm: 5.3551 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3911 loss: 1.3911 2022/08/04 05:16:50 - mmengine - INFO - Epoch(train) [88][700/1879] lr: 1.0000e-02 eta: 1 day, 13:59:28 time: 0.4307 data_time: 0.0139 memory: 17087 grad_norm: 5.2884 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4925 loss: 1.4925 2022/08/04 05:16:58 - mmengine - INFO - Epoch(train) [88][720/1879] lr: 1.0000e-02 eta: 1 day, 13:59:19 time: 0.4260 data_time: 0.0156 memory: 17087 grad_norm: 5.2665 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5869 loss: 1.5869 2022/08/04 05:17:07 - mmengine - INFO - Epoch(train) [88][740/1879] lr: 1.0000e-02 eta: 1 day, 13:59:10 time: 0.4274 data_time: 0.0144 memory: 17087 grad_norm: 5.2683 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.5424 loss: 1.5424 2022/08/04 05:17:15 - mmengine - INFO - Epoch(train) [88][760/1879] lr: 1.0000e-02 eta: 1 day, 13:59:01 time: 0.4280 data_time: 0.0162 memory: 17087 grad_norm: 5.2911 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4175 loss: 1.4175 2022/08/04 05:17:24 - mmengine - INFO - Epoch(train) [88][780/1879] lr: 1.0000e-02 eta: 1 day, 13:58:54 time: 0.4533 data_time: 0.0200 memory: 17087 grad_norm: 5.2648 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6760 loss: 1.6760 2022/08/04 05:17:33 - mmengine - INFO - Epoch(train) [88][800/1879] lr: 1.0000e-02 eta: 1 day, 13:58:45 time: 0.4283 data_time: 0.0152 memory: 17087 grad_norm: 5.1476 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5623 loss: 1.5623 2022/08/04 05:17:42 - mmengine - INFO - Epoch(train) [88][820/1879] lr: 1.0000e-02 eta: 1 day, 13:58:37 time: 0.4557 data_time: 0.0188 memory: 17087 grad_norm: 5.2315 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4563 loss: 1.4563 2022/08/04 05:17:51 - mmengine - INFO - Epoch(train) [88][840/1879] lr: 1.0000e-02 eta: 1 day, 13:58:28 time: 0.4275 data_time: 0.0171 memory: 17087 grad_norm: 5.3694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5515 loss: 1.5515 2022/08/04 05:17:59 - mmengine - INFO - Epoch(train) [88][860/1879] lr: 1.0000e-02 eta: 1 day, 13:58:19 time: 0.4252 data_time: 0.0137 memory: 17087 grad_norm: 5.3193 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4390 loss: 1.4390 2022/08/04 05:18:08 - mmengine - INFO - Epoch(train) [88][880/1879] lr: 1.0000e-02 eta: 1 day, 13:58:11 time: 0.4301 data_time: 0.0176 memory: 17087 grad_norm: 5.3167 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5927 loss: 1.5927 2022/08/04 05:18:16 - mmengine - INFO - Epoch(train) [88][900/1879] lr: 1.0000e-02 eta: 1 day, 13:58:02 time: 0.4270 data_time: 0.0138 memory: 17087 grad_norm: 5.3604 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5839 loss: 1.5839 2022/08/04 05:18:25 - mmengine - INFO - Epoch(train) [88][920/1879] lr: 1.0000e-02 eta: 1 day, 13:57:54 time: 0.4586 data_time: 0.0164 memory: 17087 grad_norm: 5.2564 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5153 loss: 1.5153 2022/08/04 05:18:34 - mmengine - INFO - Epoch(train) [88][940/1879] lr: 1.0000e-02 eta: 1 day, 13:57:45 time: 0.4246 data_time: 0.0125 memory: 17087 grad_norm: 5.3956 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6118 loss: 1.6118 2022/08/04 05:18:43 - mmengine - INFO - Epoch(train) [88][960/1879] lr: 1.0000e-02 eta: 1 day, 13:57:37 time: 0.4496 data_time: 0.0166 memory: 17087 grad_norm: 5.3226 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6274 loss: 1.6274 2022/08/04 05:18:51 - mmengine - INFO - Epoch(train) [88][980/1879] lr: 1.0000e-02 eta: 1 day, 13:57:29 time: 0.4243 data_time: 0.0145 memory: 17087 grad_norm: 5.3612 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5789 loss: 1.5789 2022/08/04 05:19:00 - mmengine - INFO - Epoch(train) [88][1000/1879] lr: 1.0000e-02 eta: 1 day, 13:57:20 time: 0.4316 data_time: 0.0184 memory: 17087 grad_norm: 5.4205 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4488 loss: 1.4488 2022/08/04 05:19:09 - mmengine - INFO - Epoch(train) [88][1020/1879] lr: 1.0000e-02 eta: 1 day, 13:57:11 time: 0.4254 data_time: 0.0145 memory: 17087 grad_norm: 5.2787 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4574 loss: 1.4574 2022/08/04 05:19:17 - mmengine - INFO - Epoch(train) [88][1040/1879] lr: 1.0000e-02 eta: 1 day, 13:57:02 time: 0.4263 data_time: 0.0151 memory: 17087 grad_norm: 5.3592 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6018 loss: 1.6018 2022/08/04 05:19:26 - mmengine - INFO - Epoch(train) [88][1060/1879] lr: 1.0000e-02 eta: 1 day, 13:56:54 time: 0.4402 data_time: 0.0159 memory: 17087 grad_norm: 5.2476 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6423 loss: 1.6423 2022/08/04 05:19:34 - mmengine - INFO - Epoch(train) [88][1080/1879] lr: 1.0000e-02 eta: 1 day, 13:56:45 time: 0.4278 data_time: 0.0173 memory: 17087 grad_norm: 5.2511 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4172 loss: 1.4172 2022/08/04 05:19:43 - mmengine - INFO - Epoch(train) [88][1100/1879] lr: 1.0000e-02 eta: 1 day, 13:56:37 time: 0.4337 data_time: 0.0160 memory: 17087 grad_norm: 5.3555 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6057 loss: 1.6057 2022/08/04 05:19:52 - mmengine - INFO - Epoch(train) [88][1120/1879] lr: 1.0000e-02 eta: 1 day, 13:56:28 time: 0.4286 data_time: 0.0174 memory: 17087 grad_norm: 5.2521 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7767 loss: 1.7767 2022/08/04 05:20:01 - mmengine - INFO - Epoch(train) [88][1140/1879] lr: 1.0000e-02 eta: 1 day, 13:56:20 time: 0.4601 data_time: 0.0149 memory: 17087 grad_norm: 5.2304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5747 loss: 1.5747 2022/08/04 05:20:10 - mmengine - INFO - Epoch(train) [88][1160/1879] lr: 1.0000e-02 eta: 1 day, 13:56:11 time: 0.4280 data_time: 0.0167 memory: 17087 grad_norm: 5.2423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5403 loss: 1.5403 2022/08/04 05:20:18 - mmengine - INFO - Epoch(train) [88][1180/1879] lr: 1.0000e-02 eta: 1 day, 13:56:03 time: 0.4251 data_time: 0.0147 memory: 17087 grad_norm: 5.3882 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7159 loss: 1.7159 2022/08/04 05:20:27 - mmengine - INFO - Epoch(train) [88][1200/1879] lr: 1.0000e-02 eta: 1 day, 13:55:54 time: 0.4413 data_time: 0.0171 memory: 17087 grad_norm: 5.2679 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.3918 loss: 1.3918 2022/08/04 05:20:35 - mmengine - INFO - Epoch(train) [88][1220/1879] lr: 1.0000e-02 eta: 1 day, 13:55:45 time: 0.4258 data_time: 0.0137 memory: 17087 grad_norm: 5.1552 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6186 loss: 1.6186 2022/08/04 05:20:44 - mmengine - INFO - Epoch(train) [88][1240/1879] lr: 1.0000e-02 eta: 1 day, 13:55:37 time: 0.4318 data_time: 0.0169 memory: 17087 grad_norm: 5.1973 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5586 loss: 1.5586 2022/08/04 05:20:53 - mmengine - INFO - Epoch(train) [88][1260/1879] lr: 1.0000e-02 eta: 1 day, 13:55:28 time: 0.4237 data_time: 0.0137 memory: 17087 grad_norm: 5.1453 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4213 loss: 1.4213 2022/08/04 05:21:02 - mmengine - INFO - Epoch(train) [88][1280/1879] lr: 1.0000e-02 eta: 1 day, 13:55:20 time: 0.4585 data_time: 0.0165 memory: 17087 grad_norm: 5.5098 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.5578 loss: 1.5578 2022/08/04 05:21:10 - mmengine - INFO - Epoch(train) [88][1300/1879] lr: 1.0000e-02 eta: 1 day, 13:55:12 time: 0.4268 data_time: 0.0147 memory: 17087 grad_norm: 5.1508 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5252 loss: 1.5252 2022/08/04 05:21:19 - mmengine - INFO - Epoch(train) [88][1320/1879] lr: 1.0000e-02 eta: 1 day, 13:55:03 time: 0.4278 data_time: 0.0172 memory: 17087 grad_norm: 5.1745 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4784 loss: 1.4784 2022/08/04 05:21:28 - mmengine - INFO - Epoch(train) [88][1340/1879] lr: 1.0000e-02 eta: 1 day, 13:54:55 time: 0.4562 data_time: 0.0178 memory: 17087 grad_norm: 5.1930 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3617 loss: 1.3617 2022/08/04 05:21:37 - mmengine - INFO - Epoch(train) [88][1360/1879] lr: 1.0000e-02 eta: 1 day, 13:54:46 time: 0.4269 data_time: 0.0162 memory: 17087 grad_norm: 5.2862 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7319 loss: 1.7319 2022/08/04 05:21:46 - mmengine - INFO - Epoch(train) [88][1380/1879] lr: 1.0000e-02 eta: 1 day, 13:54:38 time: 0.4554 data_time: 0.0168 memory: 17087 grad_norm: 5.3547 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6503 loss: 1.6503 2022/08/04 05:21:54 - mmengine - INFO - Epoch(train) [88][1400/1879] lr: 1.0000e-02 eta: 1 day, 13:54:30 time: 0.4267 data_time: 0.0166 memory: 17087 grad_norm: 5.4304 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4830 loss: 1.4830 2022/08/04 05:22:03 - mmengine - INFO - Epoch(train) [88][1420/1879] lr: 1.0000e-02 eta: 1 day, 13:54:21 time: 0.4288 data_time: 0.0178 memory: 17087 grad_norm: 5.3590 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5672 loss: 1.5672 2022/08/04 05:22:11 - mmengine - INFO - Epoch(train) [88][1440/1879] lr: 1.0000e-02 eta: 1 day, 13:54:12 time: 0.4320 data_time: 0.0170 memory: 17087 grad_norm: 5.2737 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4457 loss: 1.4457 2022/08/04 05:22:20 - mmengine - INFO - Epoch(train) [88][1460/1879] lr: 1.0000e-02 eta: 1 day, 13:54:03 time: 0.4259 data_time: 0.0139 memory: 17087 grad_norm: 5.3171 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4352 loss: 1.4352 2022/08/04 05:22:28 - mmengine - INFO - Epoch(train) [88][1480/1879] lr: 1.0000e-02 eta: 1 day, 13:53:55 time: 0.4272 data_time: 0.0168 memory: 17087 grad_norm: 5.3130 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5635 loss: 1.5635 2022/08/04 05:22:38 - mmengine - INFO - Epoch(train) [88][1500/1879] lr: 1.0000e-02 eta: 1 day, 13:53:47 time: 0.4544 data_time: 0.0159 memory: 17087 grad_norm: 5.2868 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4883 loss: 1.4883 2022/08/04 05:22:46 - mmengine - INFO - Epoch(train) [88][1520/1879] lr: 1.0000e-02 eta: 1 day, 13:53:38 time: 0.4294 data_time: 0.0149 memory: 17087 grad_norm: 5.3462 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6187 loss: 1.6187 2022/08/04 05:22:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 05:22:55 - mmengine - INFO - Epoch(train) [88][1540/1879] lr: 1.0000e-02 eta: 1 day, 13:53:30 time: 0.4422 data_time: 0.0209 memory: 17087 grad_norm: 5.5337 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5299 loss: 1.5299 2022/08/04 05:23:04 - mmengine - INFO - Epoch(train) [88][1560/1879] lr: 1.0000e-02 eta: 1 day, 13:53:21 time: 0.4294 data_time: 0.0167 memory: 17087 grad_norm: 5.4680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4716 loss: 1.4716 2022/08/04 05:23:12 - mmengine - INFO - Epoch(train) [88][1580/1879] lr: 1.0000e-02 eta: 1 day, 13:53:13 time: 0.4351 data_time: 0.0187 memory: 17087 grad_norm: 5.3574 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6864 loss: 1.6864 2022/08/04 05:23:21 - mmengine - INFO - Epoch(train) [88][1600/1879] lr: 1.0000e-02 eta: 1 day, 13:53:04 time: 0.4277 data_time: 0.0153 memory: 17087 grad_norm: 5.3369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5148 loss: 1.5148 2022/08/04 05:23:29 - mmengine - INFO - Epoch(train) [88][1620/1879] lr: 1.0000e-02 eta: 1 day, 13:52:55 time: 0.4260 data_time: 0.0150 memory: 17087 grad_norm: 5.3403 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5292 loss: 1.5292 2022/08/04 05:23:39 - mmengine - INFO - Epoch(train) [88][1640/1879] lr: 1.0000e-02 eta: 1 day, 13:52:47 time: 0.4566 data_time: 0.0174 memory: 17087 grad_norm: 5.2379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4232 loss: 1.4232 2022/08/04 05:23:47 - mmengine - INFO - Epoch(train) [88][1660/1879] lr: 1.0000e-02 eta: 1 day, 13:52:39 time: 0.4292 data_time: 0.0154 memory: 17087 grad_norm: 5.3261 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5168 loss: 1.5168 2022/08/04 05:23:56 - mmengine - INFO - Epoch(train) [88][1680/1879] lr: 1.0000e-02 eta: 1 day, 13:52:31 time: 0.4580 data_time: 0.0222 memory: 17087 grad_norm: 5.3088 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5470 loss: 1.5470 2022/08/04 05:24:05 - mmengine - INFO - Epoch(train) [88][1700/1879] lr: 1.0000e-02 eta: 1 day, 13:52:22 time: 0.4268 data_time: 0.0172 memory: 17087 grad_norm: 5.3469 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4221 loss: 1.4221 2022/08/04 05:24:14 - mmengine - INFO - Epoch(train) [88][1720/1879] lr: 1.0000e-02 eta: 1 day, 13:52:15 time: 0.4595 data_time: 0.0202 memory: 17087 grad_norm: 5.3765 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4020 loss: 1.4020 2022/08/04 05:24:23 - mmengine - INFO - Epoch(train) [88][1740/1879] lr: 1.0000e-02 eta: 1 day, 13:52:06 time: 0.4283 data_time: 0.0139 memory: 17087 grad_norm: 5.2857 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5155 loss: 1.5155 2022/08/04 05:24:31 - mmengine - INFO - Epoch(train) [88][1760/1879] lr: 1.0000e-02 eta: 1 day, 13:51:57 time: 0.4297 data_time: 0.0175 memory: 17087 grad_norm: 5.2738 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4948 loss: 1.4948 2022/08/04 05:24:40 - mmengine - INFO - Epoch(train) [88][1780/1879] lr: 1.0000e-02 eta: 1 day, 13:51:48 time: 0.4262 data_time: 0.0153 memory: 17087 grad_norm: 5.3324 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3587 loss: 1.3587 2022/08/04 05:24:49 - mmengine - INFO - Epoch(train) [88][1800/1879] lr: 1.0000e-02 eta: 1 day, 13:51:40 time: 0.4371 data_time: 0.0166 memory: 17087 grad_norm: 5.2770 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6521 loss: 1.6521 2022/08/04 05:24:57 - mmengine - INFO - Epoch(train) [88][1820/1879] lr: 1.0000e-02 eta: 1 day, 13:51:31 time: 0.4264 data_time: 0.0137 memory: 17087 grad_norm: 5.1400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2367 loss: 1.2367 2022/08/04 05:25:06 - mmengine - INFO - Epoch(train) [88][1840/1879] lr: 1.0000e-02 eta: 1 day, 13:51:22 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 5.3090 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5646 loss: 1.5646 2022/08/04 05:25:14 - mmengine - INFO - Epoch(train) [88][1860/1879] lr: 1.0000e-02 eta: 1 day, 13:51:14 time: 0.4305 data_time: 0.0145 memory: 17087 grad_norm: 5.3284 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5662 loss: 1.5662 2022/08/04 05:25:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 05:25:22 - mmengine - INFO - Epoch(train) [88][1879/1879] lr: 1.0000e-02 eta: 1 day, 13:51:14 time: 0.4104 data_time: 0.0152 memory: 17087 grad_norm: 5.3917 top1_acc: 0.4286 top5_acc: 0.5714 loss_cls: 1.5576 loss: 1.5576 2022/08/04 05:25:22 - mmengine - INFO - Saving checkpoint at 88 epochs 2022/08/04 05:25:36 - mmengine - INFO - Epoch(train) [89][20/1879] lr: 1.0000e-02 eta: 1 day, 13:50:45 time: 0.5180 data_time: 0.1048 memory: 17087 grad_norm: 5.3711 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4120 loss: 1.4120 2022/08/04 05:25:45 - mmengine - INFO - Epoch(train) [89][40/1879] lr: 1.0000e-02 eta: 1 day, 13:50:37 time: 0.4585 data_time: 0.0163 memory: 17087 grad_norm: 5.4619 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5663 loss: 1.5663 2022/08/04 05:25:54 - mmengine - INFO - Epoch(train) [89][60/1879] lr: 1.0000e-02 eta: 1 day, 13:50:28 time: 0.4250 data_time: 0.0138 memory: 17087 grad_norm: 5.1837 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6202 loss: 1.6202 2022/08/04 05:26:03 - mmengine - INFO - Epoch(train) [89][80/1879] lr: 1.0000e-02 eta: 1 day, 13:50:20 time: 0.4576 data_time: 0.0174 memory: 17087 grad_norm: 5.2674 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6017 loss: 1.6017 2022/08/04 05:26:12 - mmengine - INFO - Epoch(train) [89][100/1879] lr: 1.0000e-02 eta: 1 day, 13:50:12 time: 0.4275 data_time: 0.0150 memory: 17087 grad_norm: 5.0711 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3199 loss: 1.3199 2022/08/04 05:26:20 - mmengine - INFO - Epoch(train) [89][120/1879] lr: 1.0000e-02 eta: 1 day, 13:50:03 time: 0.4325 data_time: 0.0169 memory: 17087 grad_norm: 5.2397 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5034 loss: 1.5034 2022/08/04 05:26:29 - mmengine - INFO - Epoch(train) [89][140/1879] lr: 1.0000e-02 eta: 1 day, 13:49:55 time: 0.4487 data_time: 0.0147 memory: 17087 grad_norm: 5.2340 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3862 loss: 1.3862 2022/08/04 05:26:38 - mmengine - INFO - Epoch(train) [89][160/1879] lr: 1.0000e-02 eta: 1 day, 13:49:46 time: 0.4266 data_time: 0.0146 memory: 17087 grad_norm: 5.3655 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4862 loss: 1.4862 2022/08/04 05:26:47 - mmengine - INFO - Epoch(train) [89][180/1879] lr: 1.0000e-02 eta: 1 day, 13:49:38 time: 0.4379 data_time: 0.0146 memory: 17087 grad_norm: 5.0781 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3862 loss: 1.3862 2022/08/04 05:26:55 - mmengine - INFO - Epoch(train) [89][200/1879] lr: 1.0000e-02 eta: 1 day, 13:49:29 time: 0.4275 data_time: 0.0157 memory: 17087 grad_norm: 5.2451 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6060 loss: 1.6060 2022/08/04 05:27:04 - mmengine - INFO - Epoch(train) [89][220/1879] lr: 1.0000e-02 eta: 1 day, 13:49:21 time: 0.4407 data_time: 0.0176 memory: 17087 grad_norm: 5.0579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3939 loss: 1.3939 2022/08/04 05:27:13 - mmengine - INFO - Epoch(train) [89][240/1879] lr: 1.0000e-02 eta: 1 day, 13:49:12 time: 0.4252 data_time: 0.0160 memory: 17087 grad_norm: 5.4474 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4275 loss: 1.4275 2022/08/04 05:27:22 - mmengine - INFO - Epoch(train) [89][260/1879] lr: 1.0000e-02 eta: 1 day, 13:49:04 time: 0.4593 data_time: 0.0163 memory: 17087 grad_norm: 5.3308 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6207 loss: 1.6207 2022/08/04 05:27:30 - mmengine - INFO - Epoch(train) [89][280/1879] lr: 1.0000e-02 eta: 1 day, 13:48:56 time: 0.4286 data_time: 0.0157 memory: 17087 grad_norm: 5.2964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5561 loss: 1.5561 2022/08/04 05:27:39 - mmengine - INFO - Epoch(train) [89][300/1879] lr: 1.0000e-02 eta: 1 day, 13:48:47 time: 0.4246 data_time: 0.0129 memory: 17087 grad_norm: 5.2315 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3687 loss: 1.3687 2022/08/04 05:27:48 - mmengine - INFO - Epoch(train) [89][320/1879] lr: 1.0000e-02 eta: 1 day, 13:48:39 time: 0.4529 data_time: 0.0159 memory: 17087 grad_norm: 5.3836 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4062 loss: 1.4062 2022/08/04 05:27:56 - mmengine - INFO - Epoch(train) [89][340/1879] lr: 1.0000e-02 eta: 1 day, 13:48:30 time: 0.4259 data_time: 0.0139 memory: 17087 grad_norm: 5.1914 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3318 loss: 1.3318 2022/08/04 05:28:05 - mmengine - INFO - Epoch(train) [89][360/1879] lr: 1.0000e-02 eta: 1 day, 13:48:22 time: 0.4514 data_time: 0.0181 memory: 17087 grad_norm: 5.3009 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4127 loss: 1.4127 2022/08/04 05:28:14 - mmengine - INFO - Epoch(train) [89][380/1879] lr: 1.0000e-02 eta: 1 day, 13:48:13 time: 0.4254 data_time: 0.0130 memory: 17087 grad_norm: 5.3239 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4588 loss: 1.4588 2022/08/04 05:28:23 - mmengine - INFO - Epoch(train) [89][400/1879] lr: 1.0000e-02 eta: 1 day, 13:48:05 time: 0.4322 data_time: 0.0180 memory: 17087 grad_norm: 5.2940 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4341 loss: 1.4341 2022/08/04 05:28:31 - mmengine - INFO - Epoch(train) [89][420/1879] lr: 1.0000e-02 eta: 1 day, 13:47:56 time: 0.4290 data_time: 0.0141 memory: 17087 grad_norm: 5.1002 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2377 loss: 1.2377 2022/08/04 05:28:40 - mmengine - INFO - Epoch(train) [89][440/1879] lr: 1.0000e-02 eta: 1 day, 13:47:47 time: 0.4261 data_time: 0.0152 memory: 17087 grad_norm: 5.3883 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4294 loss: 1.4294 2022/08/04 05:28:49 - mmengine - INFO - Epoch(train) [89][460/1879] lr: 1.0000e-02 eta: 1 day, 13:47:39 time: 0.4598 data_time: 0.0166 memory: 17087 grad_norm: 5.3573 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5610 loss: 1.5610 2022/08/04 05:28:58 - mmengine - INFO - Epoch(train) [89][480/1879] lr: 1.0000e-02 eta: 1 day, 13:47:31 time: 0.4333 data_time: 0.0210 memory: 17087 grad_norm: 5.4153 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4797 loss: 1.4797 2022/08/04 05:29:07 - mmengine - INFO - Epoch(train) [89][500/1879] lr: 1.0000e-02 eta: 1 day, 13:47:23 time: 0.4557 data_time: 0.0147 memory: 17087 grad_norm: 5.1818 top1_acc: 0.3125 top5_acc: 0.6875 loss_cls: 1.3938 loss: 1.3938 2022/08/04 05:29:15 - mmengine - INFO - Epoch(train) [89][520/1879] lr: 1.0000e-02 eta: 1 day, 13:47:14 time: 0.4265 data_time: 0.0168 memory: 17087 grad_norm: 5.3632 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3587 loss: 1.3587 2022/08/04 05:29:24 - mmengine - INFO - Epoch(train) [89][540/1879] lr: 1.0000e-02 eta: 1 day, 13:47:06 time: 0.4458 data_time: 0.0160 memory: 17087 grad_norm: 5.4729 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6141 loss: 1.6141 2022/08/04 05:29:33 - mmengine - INFO - Epoch(train) [89][560/1879] lr: 1.0000e-02 eta: 1 day, 13:46:57 time: 0.4283 data_time: 0.0159 memory: 17087 grad_norm: 5.3055 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6332 loss: 1.6332 2022/08/04 05:29:42 - mmengine - INFO - Epoch(train) [89][580/1879] lr: 1.0000e-02 eta: 1 day, 13:46:49 time: 0.4415 data_time: 0.0156 memory: 17087 grad_norm: 5.3131 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6065 loss: 1.6065 2022/08/04 05:29:50 - mmengine - INFO - Epoch(train) [89][600/1879] lr: 1.0000e-02 eta: 1 day, 13:46:40 time: 0.4252 data_time: 0.0155 memory: 17087 grad_norm: 5.4927 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7459 loss: 1.7459 2022/08/04 05:29:59 - mmengine - INFO - Epoch(train) [89][620/1879] lr: 1.0000e-02 eta: 1 day, 13:46:32 time: 0.4273 data_time: 0.0145 memory: 17087 grad_norm: 5.3140 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5210 loss: 1.5210 2022/08/04 05:30:08 - mmengine - INFO - Epoch(train) [89][640/1879] lr: 1.0000e-02 eta: 1 day, 13:46:24 time: 0.4540 data_time: 0.0163 memory: 17087 grad_norm: 5.3301 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4681 loss: 1.4681 2022/08/04 05:30:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 05:30:16 - mmengine - INFO - Epoch(train) [89][660/1879] lr: 1.0000e-02 eta: 1 day, 13:46:15 time: 0.4256 data_time: 0.0149 memory: 17087 grad_norm: 5.2689 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5707 loss: 1.5707 2022/08/04 05:30:25 - mmengine - INFO - Epoch(train) [89][680/1879] lr: 1.0000e-02 eta: 1 day, 13:46:06 time: 0.4364 data_time: 0.0168 memory: 17087 grad_norm: 5.2615 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4085 loss: 1.4085 2022/08/04 05:30:34 - mmengine - INFO - Epoch(train) [89][700/1879] lr: 1.0000e-02 eta: 1 day, 13:45:58 time: 0.4285 data_time: 0.0159 memory: 17087 grad_norm: 5.1833 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4191 loss: 1.4191 2022/08/04 05:30:43 - mmengine - INFO - Epoch(train) [89][720/1879] lr: 1.0000e-02 eta: 1 day, 13:45:50 time: 0.4523 data_time: 0.0164 memory: 17087 grad_norm: 5.2169 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3667 loss: 1.3667 2022/08/04 05:30:51 - mmengine - INFO - Epoch(train) [89][740/1879] lr: 1.0000e-02 eta: 1 day, 13:45:41 time: 0.4278 data_time: 0.0164 memory: 17087 grad_norm: 5.4007 top1_acc: 0.3750 top5_acc: 0.8750 loss_cls: 1.4000 loss: 1.4000 2022/08/04 05:31:00 - mmengine - INFO - Epoch(train) [89][760/1879] lr: 1.0000e-02 eta: 1 day, 13:45:32 time: 0.4256 data_time: 0.0164 memory: 17087 grad_norm: 5.4149 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6117 loss: 1.6117 2022/08/04 05:31:09 - mmengine - INFO - Epoch(train) [89][780/1879] lr: 1.0000e-02 eta: 1 day, 13:45:24 time: 0.4433 data_time: 0.0150 memory: 17087 grad_norm: 5.2501 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6048 loss: 1.6048 2022/08/04 05:31:18 - mmengine - INFO - Epoch(train) [89][800/1879] lr: 1.0000e-02 eta: 1 day, 13:45:16 time: 0.4415 data_time: 0.0180 memory: 17087 grad_norm: 5.5017 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4457 loss: 1.4457 2022/08/04 05:31:26 - mmengine - INFO - Epoch(train) [89][820/1879] lr: 1.0000e-02 eta: 1 day, 13:45:07 time: 0.4266 data_time: 0.0146 memory: 17087 grad_norm: 5.3530 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4135 loss: 1.4135 2022/08/04 05:31:35 - mmengine - INFO - Epoch(train) [89][840/1879] lr: 1.0000e-02 eta: 1 day, 13:44:58 time: 0.4305 data_time: 0.0172 memory: 17087 grad_norm: 5.3204 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5641 loss: 1.5641 2022/08/04 05:31:44 - mmengine - INFO - Epoch(train) [89][860/1879] lr: 1.0000e-02 eta: 1 day, 13:44:50 time: 0.4434 data_time: 0.0163 memory: 17087 grad_norm: 5.2848 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4786 loss: 1.4786 2022/08/04 05:31:52 - mmengine - INFO - Epoch(train) [89][880/1879] lr: 1.0000e-02 eta: 1 day, 13:44:41 time: 0.4335 data_time: 0.0168 memory: 17087 grad_norm: 5.3023 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4505 loss: 1.4505 2022/08/04 05:32:01 - mmengine - INFO - Epoch(train) [89][900/1879] lr: 1.0000e-02 eta: 1 day, 13:44:33 time: 0.4287 data_time: 0.0149 memory: 17087 grad_norm: 5.3448 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4618 loss: 1.4618 2022/08/04 05:32:09 - mmengine - INFO - Epoch(train) [89][920/1879] lr: 1.0000e-02 eta: 1 day, 13:44:24 time: 0.4278 data_time: 0.0154 memory: 17087 grad_norm: 5.2485 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5538 loss: 1.5538 2022/08/04 05:32:18 - mmengine - INFO - Epoch(train) [89][940/1879] lr: 1.0000e-02 eta: 1 day, 13:44:16 time: 0.4541 data_time: 0.0168 memory: 17087 grad_norm: 5.2306 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5448 loss: 1.5448 2022/08/04 05:32:27 - mmengine - INFO - Epoch(train) [89][960/1879] lr: 1.0000e-02 eta: 1 day, 13:44:07 time: 0.4287 data_time: 0.0189 memory: 17087 grad_norm: 5.3095 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4456 loss: 1.4456 2022/08/04 05:32:36 - mmengine - INFO - Epoch(train) [89][980/1879] lr: 1.0000e-02 eta: 1 day, 13:44:00 time: 0.4629 data_time: 0.0216 memory: 17087 grad_norm: 5.3243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6514 loss: 1.6514 2022/08/04 05:32:45 - mmengine - INFO - Epoch(train) [89][1000/1879] lr: 1.0000e-02 eta: 1 day, 13:43:51 time: 0.4274 data_time: 0.0146 memory: 17087 grad_norm: 5.4415 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5464 loss: 1.5464 2022/08/04 05:32:54 - mmengine - INFO - Epoch(train) [89][1020/1879] lr: 1.0000e-02 eta: 1 day, 13:43:44 time: 0.4613 data_time: 0.0211 memory: 17087 grad_norm: 5.3460 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4455 loss: 1.4455 2022/08/04 05:33:03 - mmengine - INFO - Epoch(train) [89][1040/1879] lr: 1.0000e-02 eta: 1 day, 13:43:35 time: 0.4260 data_time: 0.0148 memory: 17087 grad_norm: 5.2320 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5485 loss: 1.5485 2022/08/04 05:33:12 - mmengine - INFO - Epoch(train) [89][1060/1879] lr: 1.0000e-02 eta: 1 day, 13:43:28 time: 0.4680 data_time: 0.0224 memory: 17087 grad_norm: 5.3191 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.7106 loss: 1.7106 2022/08/04 05:33:21 - mmengine - INFO - Epoch(train) [89][1080/1879] lr: 1.0000e-02 eta: 1 day, 13:43:19 time: 0.4276 data_time: 0.0156 memory: 17087 grad_norm: 5.2945 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7287 loss: 1.7287 2022/08/04 05:33:29 - mmengine - INFO - Epoch(train) [89][1100/1879] lr: 1.0000e-02 eta: 1 day, 13:43:10 time: 0.4251 data_time: 0.0146 memory: 17087 grad_norm: 5.3969 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5425 loss: 1.5425 2022/08/04 05:33:38 - mmengine - INFO - Epoch(train) [89][1120/1879] lr: 1.0000e-02 eta: 1 day, 13:43:01 time: 0.4349 data_time: 0.0223 memory: 17087 grad_norm: 5.2266 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5668 loss: 1.5668 2022/08/04 05:33:46 - mmengine - INFO - Epoch(train) [89][1140/1879] lr: 1.0000e-02 eta: 1 day, 13:42:53 time: 0.4260 data_time: 0.0152 memory: 17087 grad_norm: 5.2920 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6270 loss: 1.6270 2022/08/04 05:33:55 - mmengine - INFO - Epoch(train) [89][1160/1879] lr: 1.0000e-02 eta: 1 day, 13:42:44 time: 0.4351 data_time: 0.0183 memory: 17087 grad_norm: 5.4246 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5266 loss: 1.5266 2022/08/04 05:34:04 - mmengine - INFO - Epoch(train) [89][1180/1879] lr: 1.0000e-02 eta: 1 day, 13:42:35 time: 0.4285 data_time: 0.0158 memory: 17087 grad_norm: 5.3903 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6353 loss: 1.6353 2022/08/04 05:34:13 - mmengine - INFO - Epoch(train) [89][1200/1879] lr: 1.0000e-02 eta: 1 day, 13:42:28 time: 0.4636 data_time: 0.0192 memory: 17087 grad_norm: 5.3146 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2663 loss: 1.2663 2022/08/04 05:34:22 - mmengine - INFO - Epoch(train) [89][1220/1879] lr: 1.0000e-02 eta: 1 day, 13:42:19 time: 0.4288 data_time: 0.0168 memory: 17087 grad_norm: 5.4338 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3433 loss: 1.3433 2022/08/04 05:34:30 - mmengine - INFO - Epoch(train) [89][1240/1879] lr: 1.0000e-02 eta: 1 day, 13:42:10 time: 0.4272 data_time: 0.0177 memory: 17087 grad_norm: 5.1635 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5395 loss: 1.5395 2022/08/04 05:34:39 - mmengine - INFO - Epoch(train) [89][1260/1879] lr: 1.0000e-02 eta: 1 day, 13:42:02 time: 0.4462 data_time: 0.0147 memory: 17087 grad_norm: 5.5204 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5768 loss: 1.5768 2022/08/04 05:34:48 - mmengine - INFO - Epoch(train) [89][1280/1879] lr: 1.0000e-02 eta: 1 day, 13:41:54 time: 0.4350 data_time: 0.0171 memory: 17087 grad_norm: 5.2163 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5555 loss: 1.5555 2022/08/04 05:34:56 - mmengine - INFO - Epoch(train) [89][1300/1879] lr: 1.0000e-02 eta: 1 day, 13:41:45 time: 0.4271 data_time: 0.0149 memory: 17087 grad_norm: 5.4548 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4055 loss: 1.4055 2022/08/04 05:35:06 - mmengine - INFO - Epoch(train) [89][1320/1879] lr: 1.0000e-02 eta: 1 day, 13:41:38 time: 0.4673 data_time: 0.0174 memory: 17087 grad_norm: 5.3944 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.6478 loss: 1.6478 2022/08/04 05:35:14 - mmengine - INFO - Epoch(train) [89][1340/1879] lr: 1.0000e-02 eta: 1 day, 13:41:29 time: 0.4250 data_time: 0.0141 memory: 17087 grad_norm: 5.1643 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4393 loss: 1.4393 2022/08/04 05:35:23 - mmengine - INFO - Epoch(train) [89][1360/1879] lr: 1.0000e-02 eta: 1 day, 13:41:20 time: 0.4319 data_time: 0.0164 memory: 17087 grad_norm: 5.2932 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5359 loss: 1.5359 2022/08/04 05:35:31 - mmengine - INFO - Epoch(train) [89][1380/1879] lr: 1.0000e-02 eta: 1 day, 13:41:11 time: 0.4259 data_time: 0.0148 memory: 17087 grad_norm: 5.4584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5243 loss: 1.5243 2022/08/04 05:35:40 - mmengine - INFO - Epoch(train) [89][1400/1879] lr: 1.0000e-02 eta: 1 day, 13:41:02 time: 0.4266 data_time: 0.0152 memory: 17087 grad_norm: 5.3291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3151 loss: 1.3151 2022/08/04 05:35:49 - mmengine - INFO - Epoch(train) [89][1420/1879] lr: 1.0000e-02 eta: 1 day, 13:40:55 time: 0.4510 data_time: 0.0156 memory: 17087 grad_norm: 5.4312 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5826 loss: 1.5826 2022/08/04 05:35:57 - mmengine - INFO - Epoch(train) [89][1440/1879] lr: 1.0000e-02 eta: 1 day, 13:40:46 time: 0.4292 data_time: 0.0159 memory: 17087 grad_norm: 5.2819 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3828 loss: 1.3828 2022/08/04 05:36:07 - mmengine - INFO - Epoch(train) [89][1460/1879] lr: 1.0000e-02 eta: 1 day, 13:40:38 time: 0.4508 data_time: 0.0177 memory: 17087 grad_norm: 5.3670 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5555 loss: 1.5555 2022/08/04 05:36:15 - mmengine - INFO - Epoch(train) [89][1480/1879] lr: 1.0000e-02 eta: 1 day, 13:40:29 time: 0.4324 data_time: 0.0171 memory: 17087 grad_norm: 5.1964 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4061 loss: 1.4061 2022/08/04 05:36:24 - mmengine - INFO - Epoch(train) [89][1500/1879] lr: 1.0000e-02 eta: 1 day, 13:40:20 time: 0.4272 data_time: 0.0156 memory: 17087 grad_norm: 5.4136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7023 loss: 1.7023 2022/08/04 05:36:33 - mmengine - INFO - Epoch(train) [89][1520/1879] lr: 1.0000e-02 eta: 1 day, 13:40:12 time: 0.4396 data_time: 0.0194 memory: 17087 grad_norm: 5.4268 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3020 loss: 1.3020 2022/08/04 05:36:41 - mmengine - INFO - Epoch(train) [89][1540/1879] lr: 1.0000e-02 eta: 1 day, 13:40:03 time: 0.4267 data_time: 0.0141 memory: 17087 grad_norm: 5.2278 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3522 loss: 1.3522 2022/08/04 05:36:50 - mmengine - INFO - Epoch(train) [89][1560/1879] lr: 1.0000e-02 eta: 1 day, 13:39:55 time: 0.4297 data_time: 0.0160 memory: 17087 grad_norm: 5.3435 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4299 loss: 1.4299 2022/08/04 05:36:59 - mmengine - INFO - Epoch(train) [89][1580/1879] lr: 1.0000e-02 eta: 1 day, 13:39:48 time: 0.4814 data_time: 0.0651 memory: 17087 grad_norm: 5.2503 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3330 loss: 1.3330 2022/08/04 05:37:08 - mmengine - INFO - Epoch(train) [89][1600/1879] lr: 1.0000e-02 eta: 1 day, 13:39:39 time: 0.4281 data_time: 0.0175 memory: 17087 grad_norm: 5.3199 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5029 loss: 1.5029 2022/08/04 05:37:16 - mmengine - INFO - Epoch(train) [89][1620/1879] lr: 1.0000e-02 eta: 1 day, 13:39:30 time: 0.4283 data_time: 0.0160 memory: 17087 grad_norm: 5.3757 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5622 loss: 1.5622 2022/08/04 05:37:26 - mmengine - INFO - Epoch(train) [89][1640/1879] lr: 1.0000e-02 eta: 1 day, 13:39:23 time: 0.4639 data_time: 0.0189 memory: 17087 grad_norm: 5.3826 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5075 loss: 1.5075 2022/08/04 05:37:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 05:37:34 - mmengine - INFO - Epoch(train) [89][1660/1879] lr: 1.0000e-02 eta: 1 day, 13:39:14 time: 0.4299 data_time: 0.0203 memory: 17087 grad_norm: 5.2813 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.7080 loss: 1.7080 2022/08/04 05:37:43 - mmengine - INFO - Epoch(train) [89][1680/1879] lr: 1.0000e-02 eta: 1 day, 13:39:05 time: 0.4286 data_time: 0.0165 memory: 17087 grad_norm: 5.3696 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.7426 loss: 1.7426 2022/08/04 05:37:52 - mmengine - INFO - Epoch(train) [89][1700/1879] lr: 1.0000e-02 eta: 1 day, 13:38:58 time: 0.4507 data_time: 0.0161 memory: 17087 grad_norm: 5.2508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5032 loss: 1.5032 2022/08/04 05:38:01 - mmengine - INFO - Epoch(train) [89][1720/1879] lr: 1.0000e-02 eta: 1 day, 13:38:49 time: 0.4278 data_time: 0.0157 memory: 17087 grad_norm: 5.4902 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3862 loss: 1.3862 2022/08/04 05:38:09 - mmengine - INFO - Epoch(train) [89][1740/1879] lr: 1.0000e-02 eta: 1 day, 13:38:40 time: 0.4306 data_time: 0.0190 memory: 17087 grad_norm: 5.3795 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5259 loss: 1.5259 2022/08/04 05:38:18 - mmengine - INFO - Epoch(train) [89][1760/1879] lr: 1.0000e-02 eta: 1 day, 13:38:32 time: 0.4524 data_time: 0.0181 memory: 17087 grad_norm: 5.3594 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6351 loss: 1.6351 2022/08/04 05:38:27 - mmengine - INFO - Epoch(train) [89][1780/1879] lr: 1.0000e-02 eta: 1 day, 13:38:23 time: 0.4286 data_time: 0.0163 memory: 17087 grad_norm: 5.2582 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4355 loss: 1.4355 2022/08/04 05:38:36 - mmengine - INFO - Epoch(train) [89][1800/1879] lr: 1.0000e-02 eta: 1 day, 13:38:15 time: 0.4445 data_time: 0.0226 memory: 17087 grad_norm: 5.1989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2705 loss: 1.2705 2022/08/04 05:38:44 - mmengine - INFO - Epoch(train) [89][1820/1879] lr: 1.0000e-02 eta: 1 day, 13:38:07 time: 0.4269 data_time: 0.0143 memory: 17087 grad_norm: 5.1450 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5361 loss: 1.5361 2022/08/04 05:38:53 - mmengine - INFO - Epoch(train) [89][1840/1879] lr: 1.0000e-02 eta: 1 day, 13:37:58 time: 0.4301 data_time: 0.0186 memory: 17087 grad_norm: 5.1828 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.6174 loss: 1.6174 2022/08/04 05:39:01 - mmengine - INFO - Epoch(train) [89][1860/1879] lr: 1.0000e-02 eta: 1 day, 13:37:49 time: 0.4263 data_time: 0.0149 memory: 17087 grad_norm: 5.0802 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4772 loss: 1.4772 2022/08/04 05:39:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 05:39:09 - mmengine - INFO - Epoch(train) [89][1879/1879] lr: 1.0000e-02 eta: 1 day, 13:37:49 time: 0.4094 data_time: 0.0159 memory: 17087 grad_norm: 5.4177 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.6432 loss: 1.6432 2022/08/04 05:39:20 - mmengine - INFO - Epoch(train) [90][20/1879] lr: 1.0000e-02 eta: 1 day, 13:37:21 time: 0.5578 data_time: 0.0951 memory: 17087 grad_norm: 4.9995 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5087 loss: 1.5087 2022/08/04 05:39:29 - mmengine - INFO - Epoch(train) [90][40/1879] lr: 1.0000e-02 eta: 1 day, 13:37:14 time: 0.4541 data_time: 0.0161 memory: 17087 grad_norm: 5.1668 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3553 loss: 1.3553 2022/08/04 05:39:38 - mmengine - INFO - Epoch(train) [90][60/1879] lr: 1.0000e-02 eta: 1 day, 13:37:05 time: 0.4357 data_time: 0.0197 memory: 17087 grad_norm: 5.3324 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5049 loss: 1.5049 2022/08/04 05:39:47 - mmengine - INFO - Epoch(train) [90][80/1879] lr: 1.0000e-02 eta: 1 day, 13:36:57 time: 0.4550 data_time: 0.0164 memory: 17087 grad_norm: 5.2184 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3940 loss: 1.3940 2022/08/04 05:39:56 - mmengine - INFO - Epoch(train) [90][100/1879] lr: 1.0000e-02 eta: 1 day, 13:36:49 time: 0.4311 data_time: 0.0186 memory: 17087 grad_norm: 5.3199 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6300 loss: 1.6300 2022/08/04 05:40:05 - mmengine - INFO - Epoch(train) [90][120/1879] lr: 1.0000e-02 eta: 1 day, 13:36:41 time: 0.4590 data_time: 0.0180 memory: 17087 grad_norm: 5.4023 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4802 loss: 1.4802 2022/08/04 05:40:14 - mmengine - INFO - Epoch(train) [90][140/1879] lr: 1.0000e-02 eta: 1 day, 13:36:33 time: 0.4333 data_time: 0.0200 memory: 17087 grad_norm: 5.2624 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4696 loss: 1.4696 2022/08/04 05:40:22 - mmengine - INFO - Epoch(train) [90][160/1879] lr: 1.0000e-02 eta: 1 day, 13:36:24 time: 0.4280 data_time: 0.0160 memory: 17087 grad_norm: 5.4485 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5314 loss: 1.5314 2022/08/04 05:40:31 - mmengine - INFO - Epoch(train) [90][180/1879] lr: 1.0000e-02 eta: 1 day, 13:36:15 time: 0.4248 data_time: 0.0140 memory: 17087 grad_norm: 5.2386 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5227 loss: 1.5227 2022/08/04 05:40:40 - mmengine - INFO - Epoch(train) [90][200/1879] lr: 1.0000e-02 eta: 1 day, 13:36:07 time: 0.4568 data_time: 0.0157 memory: 17087 grad_norm: 5.1070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4831 loss: 1.4831 2022/08/04 05:40:49 - mmengine - INFO - Epoch(train) [90][220/1879] lr: 1.0000e-02 eta: 1 day, 13:35:58 time: 0.4259 data_time: 0.0151 memory: 17087 grad_norm: 5.3021 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4968 loss: 1.4968 2022/08/04 05:40:57 - mmengine - INFO - Epoch(train) [90][240/1879] lr: 1.0000e-02 eta: 1 day, 13:35:50 time: 0.4370 data_time: 0.0218 memory: 17087 grad_norm: 5.3326 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4261 loss: 1.4261 2022/08/04 05:41:06 - mmengine - INFO - Epoch(train) [90][260/1879] lr: 1.0000e-02 eta: 1 day, 13:35:41 time: 0.4272 data_time: 0.0147 memory: 17087 grad_norm: 5.3938 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5609 loss: 1.5609 2022/08/04 05:41:15 - mmengine - INFO - Epoch(train) [90][280/1879] lr: 1.0000e-02 eta: 1 day, 13:35:33 time: 0.4421 data_time: 0.0177 memory: 17087 grad_norm: 5.1955 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3030 loss: 1.3030 2022/08/04 05:41:23 - mmengine - INFO - Epoch(train) [90][300/1879] lr: 1.0000e-02 eta: 1 day, 13:35:24 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 5.2323 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3625 loss: 1.3625 2022/08/04 05:41:32 - mmengine - INFO - Epoch(train) [90][320/1879] lr: 1.0000e-02 eta: 1 day, 13:35:15 time: 0.4286 data_time: 0.0187 memory: 17087 grad_norm: 5.2192 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4382 loss: 1.4382 2022/08/04 05:41:41 - mmengine - INFO - Epoch(train) [90][340/1879] lr: 1.0000e-02 eta: 1 day, 13:35:07 time: 0.4368 data_time: 0.0168 memory: 17087 grad_norm: 5.3276 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6227 loss: 1.6227 2022/08/04 05:41:49 - mmengine - INFO - Epoch(train) [90][360/1879] lr: 1.0000e-02 eta: 1 day, 13:34:58 time: 0.4280 data_time: 0.0149 memory: 17087 grad_norm: 5.3630 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5484 loss: 1.5484 2022/08/04 05:41:58 - mmengine - INFO - Epoch(train) [90][380/1879] lr: 1.0000e-02 eta: 1 day, 13:34:50 time: 0.4511 data_time: 0.0241 memory: 17087 grad_norm: 5.2474 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4076 loss: 1.4076 2022/08/04 05:42:07 - mmengine - INFO - Epoch(train) [90][400/1879] lr: 1.0000e-02 eta: 1 day, 13:34:42 time: 0.4358 data_time: 0.0163 memory: 17087 grad_norm: 5.3169 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4738 loss: 1.4738 2022/08/04 05:42:16 - mmengine - INFO - Epoch(train) [90][420/1879] lr: 1.0000e-02 eta: 1 day, 13:34:34 time: 0.4497 data_time: 0.0173 memory: 17087 grad_norm: 5.4468 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6385 loss: 1.6385 2022/08/04 05:42:25 - mmengine - INFO - Epoch(train) [90][440/1879] lr: 1.0000e-02 eta: 1 day, 13:34:25 time: 0.4309 data_time: 0.0201 memory: 17087 grad_norm: 5.3659 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4253 loss: 1.4253 2022/08/04 05:42:33 - mmengine - INFO - Epoch(train) [90][460/1879] lr: 1.0000e-02 eta: 1 day, 13:34:16 time: 0.4267 data_time: 0.0153 memory: 17087 grad_norm: 5.1599 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2848 loss: 1.2848 2022/08/04 05:42:42 - mmengine - INFO - Epoch(train) [90][480/1879] lr: 1.0000e-02 eta: 1 day, 13:34:08 time: 0.4306 data_time: 0.0154 memory: 17087 grad_norm: 5.3356 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5015 loss: 1.5015 2022/08/04 05:42:50 - mmengine - INFO - Epoch(train) [90][500/1879] lr: 1.0000e-02 eta: 1 day, 13:33:59 time: 0.4298 data_time: 0.0164 memory: 17087 grad_norm: 5.3540 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2555 loss: 1.2555 2022/08/04 05:42:59 - mmengine - INFO - Epoch(train) [90][520/1879] lr: 1.0000e-02 eta: 1 day, 13:33:51 time: 0.4513 data_time: 0.0189 memory: 17087 grad_norm: 5.1961 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5659 loss: 1.5659 2022/08/04 05:43:08 - mmengine - INFO - Epoch(train) [90][540/1879] lr: 1.0000e-02 eta: 1 day, 13:33:42 time: 0.4307 data_time: 0.0145 memory: 17087 grad_norm: 5.4306 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4561 loss: 1.4561 2022/08/04 05:43:17 - mmengine - INFO - Epoch(train) [90][560/1879] lr: 1.0000e-02 eta: 1 day, 13:33:34 time: 0.4352 data_time: 0.0175 memory: 17087 grad_norm: 5.5168 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5142 loss: 1.5142 2022/08/04 05:43:25 - mmengine - INFO - Epoch(train) [90][580/1879] lr: 1.0000e-02 eta: 1 day, 13:33:25 time: 0.4264 data_time: 0.0140 memory: 17087 grad_norm: 5.3145 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5999 loss: 1.5999 2022/08/04 05:43:34 - mmengine - INFO - Epoch(train) [90][600/1879] lr: 1.0000e-02 eta: 1 day, 13:33:17 time: 0.4507 data_time: 0.0187 memory: 17087 grad_norm: 5.2687 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4726 loss: 1.4726 2022/08/04 05:43:43 - mmengine - INFO - Epoch(train) [90][620/1879] lr: 1.0000e-02 eta: 1 day, 13:33:09 time: 0.4291 data_time: 0.0164 memory: 17087 grad_norm: 5.1266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4227 loss: 1.4227 2022/08/04 05:43:51 - mmengine - INFO - Epoch(train) [90][640/1879] lr: 1.0000e-02 eta: 1 day, 13:33:00 time: 0.4263 data_time: 0.0167 memory: 17087 grad_norm: 5.2925 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5839 loss: 1.5839 2022/08/04 05:44:00 - mmengine - INFO - Epoch(train) [90][660/1879] lr: 1.0000e-02 eta: 1 day, 13:32:51 time: 0.4272 data_time: 0.0143 memory: 17087 grad_norm: 5.3615 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4706 loss: 1.4706 2022/08/04 05:44:09 - mmengine - INFO - Epoch(train) [90][680/1879] lr: 1.0000e-02 eta: 1 day, 13:32:42 time: 0.4318 data_time: 0.0170 memory: 17087 grad_norm: 5.1698 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6000 loss: 1.6000 2022/08/04 05:44:17 - mmengine - INFO - Epoch(train) [90][700/1879] lr: 1.0000e-02 eta: 1 day, 13:32:33 time: 0.4261 data_time: 0.0150 memory: 17087 grad_norm: 5.3661 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4876 loss: 1.4876 2022/08/04 05:44:26 - mmengine - INFO - Epoch(train) [90][720/1879] lr: 1.0000e-02 eta: 1 day, 13:32:25 time: 0.4328 data_time: 0.0156 memory: 17087 grad_norm: 5.2692 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5033 loss: 1.5033 2022/08/04 05:44:34 - mmengine - INFO - Epoch(train) [90][740/1879] lr: 1.0000e-02 eta: 1 day, 13:32:16 time: 0.4254 data_time: 0.0139 memory: 17087 grad_norm: 5.2262 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6043 loss: 1.6043 2022/08/04 05:44:43 - mmengine - INFO - Epoch(train) [90][760/1879] lr: 1.0000e-02 eta: 1 day, 13:32:08 time: 0.4396 data_time: 0.0186 memory: 17087 grad_norm: 5.4222 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4213 loss: 1.4213 2022/08/04 05:44:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 05:44:52 - mmengine - INFO - Epoch(train) [90][780/1879] lr: 1.0000e-02 eta: 1 day, 13:31:59 time: 0.4281 data_time: 0.0150 memory: 17087 grad_norm: 5.3232 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4839 loss: 1.4839 2022/08/04 05:45:00 - mmengine - INFO - Epoch(train) [90][800/1879] lr: 1.0000e-02 eta: 1 day, 13:31:50 time: 0.4298 data_time: 0.0187 memory: 17087 grad_norm: 5.3383 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4606 loss: 1.4606 2022/08/04 05:45:09 - mmengine - INFO - Epoch(train) [90][820/1879] lr: 1.0000e-02 eta: 1 day, 13:31:41 time: 0.4286 data_time: 0.0170 memory: 17087 grad_norm: 5.3602 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5513 loss: 1.5513 2022/08/04 05:45:18 - mmengine - INFO - Epoch(train) [90][840/1879] lr: 1.0000e-02 eta: 1 day, 13:31:33 time: 0.4308 data_time: 0.0159 memory: 17087 grad_norm: 5.1594 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4156 loss: 1.4156 2022/08/04 05:45:26 - mmengine - INFO - Epoch(train) [90][860/1879] lr: 1.0000e-02 eta: 1 day, 13:31:24 time: 0.4311 data_time: 0.0166 memory: 17087 grad_norm: 5.3839 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4704 loss: 1.4704 2022/08/04 05:45:35 - mmengine - INFO - Epoch(train) [90][880/1879] lr: 1.0000e-02 eta: 1 day, 13:31:15 time: 0.4285 data_time: 0.0158 memory: 17087 grad_norm: 5.4758 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5663 loss: 1.5663 2022/08/04 05:45:44 - mmengine - INFO - Epoch(train) [90][900/1879] lr: 1.0000e-02 eta: 1 day, 13:31:08 time: 0.4554 data_time: 0.0161 memory: 17087 grad_norm: 5.1535 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5630 loss: 1.5630 2022/08/04 05:45:53 - mmengine - INFO - Epoch(train) [90][920/1879] lr: 1.0000e-02 eta: 1 day, 13:30:59 time: 0.4395 data_time: 0.0167 memory: 17087 grad_norm: 5.2082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4842 loss: 1.4842 2022/08/04 05:46:01 - mmengine - INFO - Epoch(train) [90][940/1879] lr: 1.0000e-02 eta: 1 day, 13:30:50 time: 0.4244 data_time: 0.0128 memory: 17087 grad_norm: 5.4689 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6234 loss: 1.6234 2022/08/04 05:46:10 - mmengine - INFO - Epoch(train) [90][960/1879] lr: 1.0000e-02 eta: 1 day, 13:30:43 time: 0.4559 data_time: 0.0180 memory: 17087 grad_norm: 5.3644 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4947 loss: 1.4947 2022/08/04 05:46:19 - mmengine - INFO - Epoch(train) [90][980/1879] lr: 1.0000e-02 eta: 1 day, 13:30:34 time: 0.4282 data_time: 0.0169 memory: 17087 grad_norm: 5.5159 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6640 loss: 1.6640 2022/08/04 05:46:28 - mmengine - INFO - Epoch(train) [90][1000/1879] lr: 1.0000e-02 eta: 1 day, 13:30:26 time: 0.4441 data_time: 0.0158 memory: 17087 grad_norm: 5.3672 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4399 loss: 1.4399 2022/08/04 05:46:36 - mmengine - INFO - Epoch(train) [90][1020/1879] lr: 1.0000e-02 eta: 1 day, 13:30:17 time: 0.4251 data_time: 0.0163 memory: 17087 grad_norm: 5.3980 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6126 loss: 1.6126 2022/08/04 05:46:45 - mmengine - INFO - Epoch(train) [90][1040/1879] lr: 1.0000e-02 eta: 1 day, 13:30:08 time: 0.4361 data_time: 0.0160 memory: 17087 grad_norm: 5.5096 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4804 loss: 1.4804 2022/08/04 05:46:54 - mmengine - INFO - Epoch(train) [90][1060/1879] lr: 1.0000e-02 eta: 1 day, 13:29:59 time: 0.4262 data_time: 0.0159 memory: 17087 grad_norm: 5.3344 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3656 loss: 1.3656 2022/08/04 05:47:02 - mmengine - INFO - Epoch(train) [90][1080/1879] lr: 1.0000e-02 eta: 1 day, 13:29:51 time: 0.4314 data_time: 0.0157 memory: 17087 grad_norm: 5.3025 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3649 loss: 1.3649 2022/08/04 05:47:11 - mmengine - INFO - Epoch(train) [90][1100/1879] lr: 1.0000e-02 eta: 1 day, 13:29:42 time: 0.4341 data_time: 0.0137 memory: 17087 grad_norm: 5.2719 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4673 loss: 1.4673 2022/08/04 05:47:19 - mmengine - INFO - Epoch(train) [90][1120/1879] lr: 1.0000e-02 eta: 1 day, 13:29:33 time: 0.4260 data_time: 0.0147 memory: 17087 grad_norm: 5.3214 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5592 loss: 1.5592 2022/08/04 05:47:28 - mmengine - INFO - Epoch(train) [90][1140/1879] lr: 1.0000e-02 eta: 1 day, 13:29:25 time: 0.4321 data_time: 0.0164 memory: 17087 grad_norm: 5.3003 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4600 loss: 1.4600 2022/08/04 05:47:37 - mmengine - INFO - Epoch(train) [90][1160/1879] lr: 1.0000e-02 eta: 1 day, 13:29:16 time: 0.4286 data_time: 0.0176 memory: 17087 grad_norm: 5.2865 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4698 loss: 1.4698 2022/08/04 05:47:46 - mmengine - INFO - Epoch(train) [90][1180/1879] lr: 1.0000e-02 eta: 1 day, 13:29:08 time: 0.4549 data_time: 0.0141 memory: 17087 grad_norm: 5.3345 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3135 loss: 1.3135 2022/08/04 05:47:54 - mmengine - INFO - Epoch(train) [90][1200/1879] lr: 1.0000e-02 eta: 1 day, 13:28:59 time: 0.4265 data_time: 0.0156 memory: 17087 grad_norm: 5.4544 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6307 loss: 1.6307 2022/08/04 05:48:03 - mmengine - INFO - Epoch(train) [90][1220/1879] lr: 1.0000e-02 eta: 1 day, 13:28:51 time: 0.4283 data_time: 0.0158 memory: 17087 grad_norm: 5.1787 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3794 loss: 1.3794 2022/08/04 05:48:11 - mmengine - INFO - Epoch(train) [90][1240/1879] lr: 1.0000e-02 eta: 1 day, 13:28:42 time: 0.4253 data_time: 0.0145 memory: 17087 grad_norm: 5.1730 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6100 loss: 1.6100 2022/08/04 05:48:20 - mmengine - INFO - Epoch(train) [90][1260/1879] lr: 1.0000e-02 eta: 1 day, 13:28:34 time: 0.4499 data_time: 0.0162 memory: 17087 grad_norm: 5.3614 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7190 loss: 1.7190 2022/08/04 05:48:29 - mmengine - INFO - Epoch(train) [90][1280/1879] lr: 1.0000e-02 eta: 1 day, 13:28:25 time: 0.4336 data_time: 0.0154 memory: 17087 grad_norm: 5.3491 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3685 loss: 1.3685 2022/08/04 05:48:38 - mmengine - INFO - Epoch(train) [90][1300/1879] lr: 1.0000e-02 eta: 1 day, 13:28:17 time: 0.4534 data_time: 0.0150 memory: 17087 grad_norm: 5.3096 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5060 loss: 1.5060 2022/08/04 05:48:47 - mmengine - INFO - Epoch(train) [90][1320/1879] lr: 1.0000e-02 eta: 1 day, 13:28:09 time: 0.4256 data_time: 0.0148 memory: 17087 grad_norm: 5.5817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4118 loss: 1.4118 2022/08/04 05:48:56 - mmengine - INFO - Epoch(train) [90][1340/1879] lr: 1.0000e-02 eta: 1 day, 13:28:01 time: 0.4640 data_time: 0.0190 memory: 17087 grad_norm: 5.2135 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4329 loss: 1.4329 2022/08/04 05:49:05 - mmengine - INFO - Epoch(train) [90][1360/1879] lr: 1.0000e-02 eta: 1 day, 13:27:52 time: 0.4263 data_time: 0.0145 memory: 17087 grad_norm: 5.3109 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4764 loss: 1.4764 2022/08/04 05:49:13 - mmengine - INFO - Epoch(train) [90][1380/1879] lr: 1.0000e-02 eta: 1 day, 13:27:44 time: 0.4397 data_time: 0.0162 memory: 17087 grad_norm: 5.3371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5494 loss: 1.5494 2022/08/04 05:49:22 - mmengine - INFO - Epoch(train) [90][1400/1879] lr: 1.0000e-02 eta: 1 day, 13:27:35 time: 0.4254 data_time: 0.0150 memory: 17087 grad_norm: 5.3254 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5743 loss: 1.5743 2022/08/04 05:49:31 - mmengine - INFO - Epoch(train) [90][1420/1879] lr: 1.0000e-02 eta: 1 day, 13:27:27 time: 0.4350 data_time: 0.0187 memory: 17087 grad_norm: 5.3716 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5158 loss: 1.5158 2022/08/04 05:49:39 - mmengine - INFO - Epoch(train) [90][1440/1879] lr: 1.0000e-02 eta: 1 day, 13:27:18 time: 0.4274 data_time: 0.0159 memory: 17087 grad_norm: 5.3730 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5084 loss: 1.5084 2022/08/04 05:49:48 - mmengine - INFO - Epoch(train) [90][1460/1879] lr: 1.0000e-02 eta: 1 day, 13:27:09 time: 0.4342 data_time: 0.0150 memory: 17087 grad_norm: 5.3971 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.3739 loss: 1.3739 2022/08/04 05:49:56 - mmengine - INFO - Epoch(train) [90][1480/1879] lr: 1.0000e-02 eta: 1 day, 13:27:00 time: 0.4260 data_time: 0.0159 memory: 17087 grad_norm: 5.2197 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4376 loss: 1.4376 2022/08/04 05:50:06 - mmengine - INFO - Epoch(train) [90][1500/1879] lr: 1.0000e-02 eta: 1 day, 13:26:53 time: 0.4621 data_time: 0.0183 memory: 17087 grad_norm: 5.1571 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4639 loss: 1.4639 2022/08/04 05:50:14 - mmengine - INFO - Epoch(train) [90][1520/1879] lr: 1.0000e-02 eta: 1 day, 13:26:44 time: 0.4336 data_time: 0.0164 memory: 17087 grad_norm: 5.3570 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6587 loss: 1.6587 2022/08/04 05:50:23 - mmengine - INFO - Epoch(train) [90][1540/1879] lr: 1.0000e-02 eta: 1 day, 13:26:36 time: 0.4353 data_time: 0.0153 memory: 17087 grad_norm: 5.3991 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5550 loss: 1.5550 2022/08/04 05:50:32 - mmengine - INFO - Epoch(train) [90][1560/1879] lr: 1.0000e-02 eta: 1 day, 13:26:27 time: 0.4280 data_time: 0.0160 memory: 17087 grad_norm: 5.2104 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4739 loss: 1.4739 2022/08/04 05:50:40 - mmengine - INFO - Epoch(train) [90][1580/1879] lr: 1.0000e-02 eta: 1 day, 13:26:18 time: 0.4295 data_time: 0.0165 memory: 17087 grad_norm: 5.3215 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3323 loss: 1.3323 2022/08/04 05:50:49 - mmengine - INFO - Epoch(train) [90][1600/1879] lr: 1.0000e-02 eta: 1 day, 13:26:10 time: 0.4336 data_time: 0.0161 memory: 17087 grad_norm: 5.3130 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4167 loss: 1.4167 2022/08/04 05:50:57 - mmengine - INFO - Epoch(train) [90][1620/1879] lr: 1.0000e-02 eta: 1 day, 13:26:01 time: 0.4272 data_time: 0.0148 memory: 17087 grad_norm: 5.4659 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4027 loss: 1.4027 2022/08/04 05:51:07 - mmengine - INFO - Epoch(train) [90][1640/1879] lr: 1.0000e-02 eta: 1 day, 13:25:53 time: 0.4541 data_time: 0.0165 memory: 17087 grad_norm: 5.4165 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6521 loss: 1.6521 2022/08/04 05:51:15 - mmengine - INFO - Epoch(train) [90][1660/1879] lr: 1.0000e-02 eta: 1 day, 13:25:44 time: 0.4279 data_time: 0.0149 memory: 17087 grad_norm: 5.2843 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5057 loss: 1.5057 2022/08/04 05:51:24 - mmengine - INFO - Epoch(train) [90][1680/1879] lr: 1.0000e-02 eta: 1 day, 13:25:37 time: 0.4531 data_time: 0.0199 memory: 17087 grad_norm: 5.3206 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5787 loss: 1.5787 2022/08/04 05:51:33 - mmengine - INFO - Epoch(train) [90][1700/1879] lr: 1.0000e-02 eta: 1 day, 13:25:28 time: 0.4272 data_time: 0.0154 memory: 17087 grad_norm: 5.1933 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5358 loss: 1.5358 2022/08/04 05:51:41 - mmengine - INFO - Epoch(train) [90][1720/1879] lr: 1.0000e-02 eta: 1 day, 13:25:19 time: 0.4268 data_time: 0.0149 memory: 17087 grad_norm: 5.3181 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5667 loss: 1.5667 2022/08/04 05:51:50 - mmengine - INFO - Epoch(train) [90][1740/1879] lr: 1.0000e-02 eta: 1 day, 13:25:11 time: 0.4521 data_time: 0.0176 memory: 17087 grad_norm: 5.1673 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3875 loss: 1.3875 2022/08/04 05:51:59 - mmengine - INFO - Epoch(train) [90][1760/1879] lr: 1.0000e-02 eta: 1 day, 13:25:02 time: 0.4281 data_time: 0.0149 memory: 17087 grad_norm: 5.3000 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7040 loss: 1.7040 2022/08/04 05:52:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 05:52:08 - mmengine - INFO - Epoch(train) [90][1780/1879] lr: 1.0000e-02 eta: 1 day, 13:24:54 time: 0.4327 data_time: 0.0157 memory: 17087 grad_norm: 5.4352 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6305 loss: 1.6305 2022/08/04 05:52:16 - mmengine - INFO - Epoch(train) [90][1800/1879] lr: 1.0000e-02 eta: 1 day, 13:24:45 time: 0.4274 data_time: 0.0164 memory: 17087 grad_norm: 5.4581 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6218 loss: 1.6218 2022/08/04 05:52:25 - mmengine - INFO - Epoch(train) [90][1820/1879] lr: 1.0000e-02 eta: 1 day, 13:24:36 time: 0.4320 data_time: 0.0161 memory: 17087 grad_norm: 5.3586 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6469 loss: 1.6469 2022/08/04 05:52:33 - mmengine - INFO - Epoch(train) [90][1840/1879] lr: 1.0000e-02 eta: 1 day, 13:24:28 time: 0.4264 data_time: 0.0151 memory: 17087 grad_norm: 5.4049 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5286 loss: 1.5286 2022/08/04 05:52:42 - mmengine - INFO - Epoch(train) [90][1860/1879] lr: 1.0000e-02 eta: 1 day, 13:24:19 time: 0.4267 data_time: 0.0161 memory: 17087 grad_norm: 5.3869 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.6719 loss: 1.6719 2022/08/04 05:52:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 05:52:50 - mmengine - INFO - Epoch(train) [90][1879/1879] lr: 1.0000e-02 eta: 1 day, 13:24:19 time: 0.4128 data_time: 0.0155 memory: 17087 grad_norm: 5.4082 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.4035 loss: 1.4035 2022/08/04 05:52:57 - mmengine - INFO - Epoch(val) [90][20/155] eta: 0:00:49 time: 0.3675 data_time: 0.1933 memory: 2821 2022/08/04 05:53:02 - mmengine - INFO - Epoch(val) [90][40/155] eta: 0:00:28 time: 0.2467 data_time: 0.0781 memory: 2821 2022/08/04 05:53:08 - mmengine - INFO - Epoch(val) [90][60/155] eta: 0:00:29 time: 0.3067 data_time: 0.1354 memory: 2821 2022/08/04 05:53:14 - mmengine - INFO - Epoch(val) [90][80/155] eta: 0:00:20 time: 0.2702 data_time: 0.1015 memory: 2821 2022/08/04 05:53:20 - mmengine - INFO - Epoch(val) [90][100/155] eta: 0:00:17 time: 0.3270 data_time: 0.1576 memory: 2821 2022/08/04 05:53:25 - mmengine - INFO - Epoch(val) [90][120/155] eta: 0:00:08 time: 0.2561 data_time: 0.0842 memory: 2821 2022/08/04 05:53:31 - mmengine - INFO - Epoch(val) [90][140/155] eta: 0:00:04 time: 0.2917 data_time: 0.1234 memory: 2821 2022/08/04 05:53:37 - mmengine - INFO - Epoch(val) [90][155/155] acc/top1: 0.6495 acc/top5: 0.8579 acc/mean1: 0.6495 2022/08/04 05:53:48 - mmengine - INFO - Epoch(train) [91][20/1879] lr: 1.0000e-02 eta: 1 day, 13:23:51 time: 0.5496 data_time: 0.1248 memory: 17087 grad_norm: 5.2715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5218 loss: 1.5218 2022/08/04 05:53:57 - mmengine - INFO - Epoch(train) [91][40/1879] lr: 1.0000e-02 eta: 1 day, 13:23:43 time: 0.4438 data_time: 0.0223 memory: 17087 grad_norm: 5.1226 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3542 loss: 1.3542 2022/08/04 05:54:05 - mmengine - INFO - Epoch(train) [91][60/1879] lr: 1.0000e-02 eta: 1 day, 13:23:34 time: 0.4298 data_time: 0.0162 memory: 17087 grad_norm: 5.2632 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3850 loss: 1.3850 2022/08/04 05:54:15 - mmengine - INFO - Epoch(train) [91][80/1879] lr: 1.0000e-02 eta: 1 day, 13:23:27 time: 0.4605 data_time: 0.0186 memory: 17087 grad_norm: 5.2440 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4469 loss: 1.4469 2022/08/04 05:54:23 - mmengine - INFO - Epoch(train) [91][100/1879] lr: 1.0000e-02 eta: 1 day, 13:23:18 time: 0.4273 data_time: 0.0146 memory: 17087 grad_norm: 5.2521 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5392 loss: 1.5392 2022/08/04 05:54:32 - mmengine - INFO - Epoch(train) [91][120/1879] lr: 1.0000e-02 eta: 1 day, 13:23:09 time: 0.4305 data_time: 0.0205 memory: 17087 grad_norm: 5.4215 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5382 loss: 1.5382 2022/08/04 05:54:40 - mmengine - INFO - Epoch(train) [91][140/1879] lr: 1.0000e-02 eta: 1 day, 13:23:00 time: 0.4268 data_time: 0.0139 memory: 17087 grad_norm: 5.2580 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4092 loss: 1.4092 2022/08/04 05:54:49 - mmengine - INFO - Epoch(train) [91][160/1879] lr: 1.0000e-02 eta: 1 day, 13:22:53 time: 0.4554 data_time: 0.0170 memory: 17087 grad_norm: 5.3222 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4900 loss: 1.4900 2022/08/04 05:54:58 - mmengine - INFO - Epoch(train) [91][180/1879] lr: 1.0000e-02 eta: 1 day, 13:22:44 time: 0.4273 data_time: 0.0149 memory: 17087 grad_norm: 5.3979 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5059 loss: 1.5059 2022/08/04 05:55:07 - mmengine - INFO - Epoch(train) [91][200/1879] lr: 1.0000e-02 eta: 1 day, 13:22:36 time: 0.4552 data_time: 0.0170 memory: 17087 grad_norm: 5.3288 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4029 loss: 1.4029 2022/08/04 05:55:16 - mmengine - INFO - Epoch(train) [91][220/1879] lr: 1.0000e-02 eta: 1 day, 13:22:27 time: 0.4247 data_time: 0.0143 memory: 17087 grad_norm: 5.2535 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4807 loss: 1.4807 2022/08/04 05:55:25 - mmengine - INFO - Epoch(train) [91][240/1879] lr: 1.0000e-02 eta: 1 day, 13:22:19 time: 0.4540 data_time: 0.0209 memory: 17087 grad_norm: 5.2006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2692 loss: 1.2692 2022/08/04 05:55:33 - mmengine - INFO - Epoch(train) [91][260/1879] lr: 1.0000e-02 eta: 1 day, 13:22:10 time: 0.4258 data_time: 0.0140 memory: 17087 grad_norm: 5.2858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3034 loss: 1.3034 2022/08/04 05:55:42 - mmengine - INFO - Epoch(train) [91][280/1879] lr: 1.0000e-02 eta: 1 day, 13:22:02 time: 0.4260 data_time: 0.0153 memory: 17087 grad_norm: 5.3588 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4056 loss: 1.4056 2022/08/04 05:55:50 - mmengine - INFO - Epoch(train) [91][300/1879] lr: 1.0000e-02 eta: 1 day, 13:21:53 time: 0.4304 data_time: 0.0158 memory: 17087 grad_norm: 5.2169 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4281 loss: 1.4281 2022/08/04 05:55:59 - mmengine - INFO - Epoch(train) [91][320/1879] lr: 1.0000e-02 eta: 1 day, 13:21:44 time: 0.4270 data_time: 0.0159 memory: 17087 grad_norm: 5.3836 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4208 loss: 1.4208 2022/08/04 05:56:08 - mmengine - INFO - Epoch(train) [91][340/1879] lr: 1.0000e-02 eta: 1 day, 13:21:36 time: 0.4473 data_time: 0.0160 memory: 17087 grad_norm: 5.2394 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3466 loss: 1.3466 2022/08/04 05:56:16 - mmengine - INFO - Epoch(train) [91][360/1879] lr: 1.0000e-02 eta: 1 day, 13:21:27 time: 0.4261 data_time: 0.0157 memory: 17087 grad_norm: 5.2333 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.3523 loss: 1.3523 2022/08/04 05:56:25 - mmengine - INFO - Epoch(train) [91][380/1879] lr: 1.0000e-02 eta: 1 day, 13:21:19 time: 0.4493 data_time: 0.0168 memory: 17087 grad_norm: 5.3887 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5447 loss: 1.5447 2022/08/04 05:56:34 - mmengine - INFO - Epoch(train) [91][400/1879] lr: 1.0000e-02 eta: 1 day, 13:21:11 time: 0.4281 data_time: 0.0156 memory: 17087 grad_norm: 5.3010 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4788 loss: 1.4788 2022/08/04 05:56:43 - mmengine - INFO - Epoch(train) [91][420/1879] lr: 1.0000e-02 eta: 1 day, 13:21:02 time: 0.4253 data_time: 0.0144 memory: 17087 grad_norm: 5.5384 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.7366 loss: 1.7366 2022/08/04 05:56:51 - mmengine - INFO - Epoch(train) [91][440/1879] lr: 1.0000e-02 eta: 1 day, 13:20:53 time: 0.4399 data_time: 0.0192 memory: 17087 grad_norm: 5.3252 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5072 loss: 1.5072 2022/08/04 05:57:00 - mmengine - INFO - Epoch(train) [91][460/1879] lr: 1.0000e-02 eta: 1 day, 13:20:44 time: 0.4250 data_time: 0.0155 memory: 17087 grad_norm: 5.3349 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5692 loss: 1.5692 2022/08/04 05:57:08 - mmengine - INFO - Epoch(train) [91][480/1879] lr: 1.0000e-02 eta: 1 day, 13:20:36 time: 0.4310 data_time: 0.0169 memory: 17087 grad_norm: 5.4159 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4900 loss: 1.4900 2022/08/04 05:57:17 - mmengine - INFO - Epoch(train) [91][500/1879] lr: 1.0000e-02 eta: 1 day, 13:20:27 time: 0.4269 data_time: 0.0149 memory: 17087 grad_norm: 5.5888 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5645 loss: 1.5645 2022/08/04 05:57:26 - mmengine - INFO - Epoch(train) [91][520/1879] lr: 1.0000e-02 eta: 1 day, 13:20:18 time: 0.4342 data_time: 0.0172 memory: 17087 grad_norm: 5.3944 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3424 loss: 1.3424 2022/08/04 05:57:34 - mmengine - INFO - Epoch(train) [91][540/1879] lr: 1.0000e-02 eta: 1 day, 13:20:10 time: 0.4270 data_time: 0.0147 memory: 17087 grad_norm: 5.4591 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3294 loss: 1.3294 2022/08/04 05:57:43 - mmengine - INFO - Epoch(train) [91][560/1879] lr: 1.0000e-02 eta: 1 day, 13:20:01 time: 0.4271 data_time: 0.0168 memory: 17087 grad_norm: 5.4656 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6971 loss: 1.6971 2022/08/04 05:57:51 - mmengine - INFO - Epoch(train) [91][580/1879] lr: 1.0000e-02 eta: 1 day, 13:19:52 time: 0.4300 data_time: 0.0161 memory: 17087 grad_norm: 5.1630 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5088 loss: 1.5088 2022/08/04 05:58:00 - mmengine - INFO - Epoch(train) [91][600/1879] lr: 1.0000e-02 eta: 1 day, 13:19:43 time: 0.4298 data_time: 0.0172 memory: 17087 grad_norm: 5.2516 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4792 loss: 1.4792 2022/08/04 05:58:09 - mmengine - INFO - Epoch(train) [91][620/1879] lr: 1.0000e-02 eta: 1 day, 13:19:35 time: 0.4277 data_time: 0.0143 memory: 17087 grad_norm: 5.2806 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4076 loss: 1.4076 2022/08/04 05:58:18 - mmengine - INFO - Epoch(train) [91][640/1879] lr: 1.0000e-02 eta: 1 day, 13:19:27 time: 0.4576 data_time: 0.0229 memory: 17087 grad_norm: 5.3678 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7706 loss: 1.7706 2022/08/04 05:58:26 - mmengine - INFO - Epoch(train) [91][660/1879] lr: 1.0000e-02 eta: 1 day, 13:19:18 time: 0.4331 data_time: 0.0195 memory: 17087 grad_norm: 5.3283 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.3441 loss: 1.3441 2022/08/04 05:58:35 - mmengine - INFO - Epoch(train) [91][680/1879] lr: 1.0000e-02 eta: 1 day, 13:19:10 time: 0.4484 data_time: 0.0162 memory: 17087 grad_norm: 5.3294 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4746 loss: 1.4746 2022/08/04 05:58:44 - mmengine - INFO - Epoch(train) [91][700/1879] lr: 1.0000e-02 eta: 1 day, 13:19:02 time: 0.4311 data_time: 0.0144 memory: 17087 grad_norm: 5.1269 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6062 loss: 1.6062 2022/08/04 05:58:53 - mmengine - INFO - Epoch(train) [91][720/1879] lr: 1.0000e-02 eta: 1 day, 13:18:54 time: 0.4538 data_time: 0.0173 memory: 17087 grad_norm: 5.4328 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4332 loss: 1.4332 2022/08/04 05:59:02 - mmengine - INFO - Epoch(train) [91][740/1879] lr: 1.0000e-02 eta: 1 day, 13:18:45 time: 0.4255 data_time: 0.0136 memory: 17087 grad_norm: 5.3568 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4681 loss: 1.4681 2022/08/04 05:59:10 - mmengine - INFO - Epoch(train) [91][760/1879] lr: 1.0000e-02 eta: 1 day, 13:18:37 time: 0.4363 data_time: 0.0175 memory: 17087 grad_norm: 5.4978 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6497 loss: 1.6497 2022/08/04 05:59:19 - mmengine - INFO - Epoch(train) [91][780/1879] lr: 1.0000e-02 eta: 1 day, 13:18:28 time: 0.4271 data_time: 0.0156 memory: 17087 grad_norm: 5.0587 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5619 loss: 1.5619 2022/08/04 05:59:28 - mmengine - INFO - Epoch(train) [91][800/1879] lr: 1.0000e-02 eta: 1 day, 13:18:20 time: 0.4447 data_time: 0.0182 memory: 17087 grad_norm: 5.4466 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5291 loss: 1.5291 2022/08/04 05:59:36 - mmengine - INFO - Epoch(train) [91][820/1879] lr: 1.0000e-02 eta: 1 day, 13:18:11 time: 0.4258 data_time: 0.0147 memory: 17087 grad_norm: 5.2700 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3011 loss: 1.3011 2022/08/04 05:59:45 - mmengine - INFO - Epoch(train) [91][840/1879] lr: 1.0000e-02 eta: 1 day, 13:18:02 time: 0.4311 data_time: 0.0179 memory: 17087 grad_norm: 5.2503 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5299 loss: 1.5299 2022/08/04 05:59:54 - mmengine - INFO - Epoch(train) [91][860/1879] lr: 1.0000e-02 eta: 1 day, 13:17:53 time: 0.4322 data_time: 0.0149 memory: 17087 grad_norm: 5.4594 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4175 loss: 1.4175 2022/08/04 06:00:05 - mmengine - INFO - Epoch(train) [91][880/1879] lr: 1.0000e-02 eta: 1 day, 13:17:50 time: 0.5591 data_time: 0.0195 memory: 17087 grad_norm: 5.2776 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4890 loss: 1.4890 2022/08/04 06:00:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 06:00:13 - mmengine - INFO - Epoch(train) [91][900/1879] lr: 1.0000e-02 eta: 1 day, 13:17:41 time: 0.4274 data_time: 0.0167 memory: 17087 grad_norm: 5.4230 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6465 loss: 1.6465 2022/08/04 06:00:22 - mmengine - INFO - Epoch(train) [91][920/1879] lr: 1.0000e-02 eta: 1 day, 13:17:32 time: 0.4255 data_time: 0.0153 memory: 17087 grad_norm: 5.2832 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6567 loss: 1.6567 2022/08/04 06:00:31 - mmengine - INFO - Epoch(train) [91][940/1879] lr: 1.0000e-02 eta: 1 day, 13:17:23 time: 0.4359 data_time: 0.0174 memory: 17087 grad_norm: 5.3863 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5083 loss: 1.5083 2022/08/04 06:00:39 - mmengine - INFO - Epoch(train) [91][960/1879] lr: 1.0000e-02 eta: 1 day, 13:17:15 time: 0.4276 data_time: 0.0139 memory: 17087 grad_norm: 5.4288 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4380 loss: 1.4380 2022/08/04 06:00:48 - mmengine - INFO - Epoch(train) [91][980/1879] lr: 1.0000e-02 eta: 1 day, 13:17:06 time: 0.4333 data_time: 0.0174 memory: 17087 grad_norm: 5.3575 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2874 loss: 1.2874 2022/08/04 06:00:57 - mmengine - INFO - Epoch(train) [91][1000/1879] lr: 1.0000e-02 eta: 1 day, 13:16:57 time: 0.4277 data_time: 0.0141 memory: 17087 grad_norm: 5.4353 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.5206 loss: 1.5206 2022/08/04 06:01:05 - mmengine - INFO - Epoch(train) [91][1020/1879] lr: 1.0000e-02 eta: 1 day, 13:16:49 time: 0.4304 data_time: 0.0176 memory: 17087 grad_norm: 5.3420 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3956 loss: 1.3956 2022/08/04 06:01:14 - mmengine - INFO - Epoch(train) [91][1040/1879] lr: 1.0000e-02 eta: 1 day, 13:16:40 time: 0.4253 data_time: 0.0150 memory: 17087 grad_norm: 5.3147 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6281 loss: 1.6281 2022/08/04 06:01:22 - mmengine - INFO - Epoch(train) [91][1060/1879] lr: 1.0000e-02 eta: 1 day, 13:16:31 time: 0.4281 data_time: 0.0172 memory: 17087 grad_norm: 5.4043 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7088 loss: 1.7088 2022/08/04 06:01:31 - mmengine - INFO - Epoch(train) [91][1080/1879] lr: 1.0000e-02 eta: 1 day, 13:16:22 time: 0.4341 data_time: 0.0136 memory: 17087 grad_norm: 5.5243 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3502 loss: 1.3502 2022/08/04 06:01:40 - mmengine - INFO - Epoch(train) [91][1100/1879] lr: 1.0000e-02 eta: 1 day, 13:16:14 time: 0.4507 data_time: 0.0185 memory: 17087 grad_norm: 5.3228 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4466 loss: 1.4466 2022/08/04 06:01:49 - mmengine - INFO - Epoch(train) [91][1120/1879] lr: 1.0000e-02 eta: 1 day, 13:16:06 time: 0.4251 data_time: 0.0132 memory: 17087 grad_norm: 5.5524 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7266 loss: 1.7266 2022/08/04 06:01:57 - mmengine - INFO - Epoch(train) [91][1140/1879] lr: 1.0000e-02 eta: 1 day, 13:15:58 time: 0.4488 data_time: 0.0221 memory: 17087 grad_norm: 5.3590 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5300 loss: 1.5300 2022/08/04 06:02:06 - mmengine - INFO - Epoch(train) [91][1160/1879] lr: 1.0000e-02 eta: 1 day, 13:15:49 time: 0.4257 data_time: 0.0142 memory: 17087 grad_norm: 5.3815 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4333 loss: 1.4333 2022/08/04 06:02:15 - mmengine - INFO - Epoch(train) [91][1180/1879] lr: 1.0000e-02 eta: 1 day, 13:15:40 time: 0.4321 data_time: 0.0209 memory: 17087 grad_norm: 5.4087 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5052 loss: 1.5052 2022/08/04 06:02:23 - mmengine - INFO - Epoch(train) [91][1200/1879] lr: 1.0000e-02 eta: 1 day, 13:15:31 time: 0.4249 data_time: 0.0136 memory: 17087 grad_norm: 5.3792 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5023 loss: 1.5023 2022/08/04 06:02:32 - mmengine - INFO - Epoch(train) [91][1220/1879] lr: 1.0000e-02 eta: 1 day, 13:15:23 time: 0.4345 data_time: 0.0174 memory: 17087 grad_norm: 5.3254 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5255 loss: 1.5255 2022/08/04 06:02:41 - mmengine - INFO - Epoch(train) [91][1240/1879] lr: 1.0000e-02 eta: 1 day, 13:15:14 time: 0.4373 data_time: 0.0148 memory: 17087 grad_norm: 5.3456 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5159 loss: 1.5159 2022/08/04 06:02:49 - mmengine - INFO - Epoch(train) [91][1260/1879] lr: 1.0000e-02 eta: 1 day, 13:15:06 time: 0.4366 data_time: 0.0186 memory: 17087 grad_norm: 5.2177 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4385 loss: 1.4385 2022/08/04 06:02:58 - mmengine - INFO - Epoch(train) [91][1280/1879] lr: 1.0000e-02 eta: 1 day, 13:14:57 time: 0.4303 data_time: 0.0168 memory: 17087 grad_norm: 5.3643 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5782 loss: 1.5782 2022/08/04 06:03:07 - mmengine - INFO - Epoch(train) [91][1300/1879] lr: 1.0000e-02 eta: 1 day, 13:14:49 time: 0.4494 data_time: 0.0177 memory: 17087 grad_norm: 5.4297 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5092 loss: 1.5092 2022/08/04 06:03:15 - mmengine - INFO - Epoch(train) [91][1320/1879] lr: 1.0000e-02 eta: 1 day, 13:14:40 time: 0.4265 data_time: 0.0136 memory: 17087 grad_norm: 5.1809 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4672 loss: 1.4672 2022/08/04 06:03:24 - mmengine - INFO - Epoch(train) [91][1340/1879] lr: 1.0000e-02 eta: 1 day, 13:14:32 time: 0.4420 data_time: 0.0163 memory: 17087 grad_norm: 5.4018 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6271 loss: 1.6271 2022/08/04 06:03:33 - mmengine - INFO - Epoch(train) [91][1360/1879] lr: 1.0000e-02 eta: 1 day, 13:14:23 time: 0.4260 data_time: 0.0138 memory: 17087 grad_norm: 5.2398 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6770 loss: 1.6770 2022/08/04 06:03:42 - mmengine - INFO - Epoch(train) [91][1380/1879] lr: 1.0000e-02 eta: 1 day, 13:14:15 time: 0.4457 data_time: 0.0185 memory: 17087 grad_norm: 5.3333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4553 loss: 1.4553 2022/08/04 06:03:50 - mmengine - INFO - Epoch(train) [91][1400/1879] lr: 1.0000e-02 eta: 1 day, 13:14:06 time: 0.4253 data_time: 0.0145 memory: 17087 grad_norm: 5.3692 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5110 loss: 1.5110 2022/08/04 06:03:59 - mmengine - INFO - Epoch(train) [91][1420/1879] lr: 1.0000e-02 eta: 1 day, 13:13:58 time: 0.4377 data_time: 0.0173 memory: 17087 grad_norm: 5.4237 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.6120 loss: 1.6120 2022/08/04 06:04:08 - mmengine - INFO - Epoch(train) [91][1440/1879] lr: 1.0000e-02 eta: 1 day, 13:13:49 time: 0.4262 data_time: 0.0132 memory: 17087 grad_norm: 5.2678 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3532 loss: 1.3532 2022/08/04 06:04:16 - mmengine - INFO - Epoch(train) [91][1460/1879] lr: 1.0000e-02 eta: 1 day, 13:13:40 time: 0.4346 data_time: 0.0200 memory: 17087 grad_norm: 5.4592 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5746 loss: 1.5746 2022/08/04 06:04:25 - mmengine - INFO - Epoch(train) [91][1480/1879] lr: 1.0000e-02 eta: 1 day, 13:13:32 time: 0.4253 data_time: 0.0137 memory: 17087 grad_norm: 5.5026 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5104 loss: 1.5104 2022/08/04 06:04:33 - mmengine - INFO - Epoch(train) [91][1500/1879] lr: 1.0000e-02 eta: 1 day, 13:13:23 time: 0.4271 data_time: 0.0169 memory: 17087 grad_norm: 5.4583 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.8470 loss: 1.8470 2022/08/04 06:04:42 - mmengine - INFO - Epoch(train) [91][1520/1879] lr: 1.0000e-02 eta: 1 day, 13:13:15 time: 0.4504 data_time: 0.0148 memory: 17087 grad_norm: 5.3253 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6084 loss: 1.6084 2022/08/04 06:04:51 - mmengine - INFO - Epoch(train) [91][1540/1879] lr: 1.0000e-02 eta: 1 day, 13:13:06 time: 0.4305 data_time: 0.0156 memory: 17087 grad_norm: 5.2468 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4654 loss: 1.4654 2022/08/04 06:05:00 - mmengine - INFO - Epoch(train) [91][1560/1879] lr: 1.0000e-02 eta: 1 day, 13:12:57 time: 0.4271 data_time: 0.0144 memory: 17087 grad_norm: 5.4313 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7634 loss: 1.7634 2022/08/04 06:05:08 - mmengine - INFO - Epoch(train) [91][1580/1879] lr: 1.0000e-02 eta: 1 day, 13:12:49 time: 0.4294 data_time: 0.0177 memory: 17087 grad_norm: 5.2468 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5976 loss: 1.5976 2022/08/04 06:05:17 - mmengine - INFO - Epoch(train) [91][1600/1879] lr: 1.0000e-02 eta: 1 day, 13:12:40 time: 0.4286 data_time: 0.0148 memory: 17087 grad_norm: 5.3081 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5352 loss: 1.5352 2022/08/04 06:05:25 - mmengine - INFO - Epoch(train) [91][1620/1879] lr: 1.0000e-02 eta: 1 day, 13:12:31 time: 0.4264 data_time: 0.0157 memory: 17087 grad_norm: 5.4141 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6082 loss: 1.6082 2022/08/04 06:05:34 - mmengine - INFO - Epoch(train) [91][1640/1879] lr: 1.0000e-02 eta: 1 day, 13:12:22 time: 0.4258 data_time: 0.0139 memory: 17087 grad_norm: 5.4830 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6727 loss: 1.6727 2022/08/04 06:05:42 - mmengine - INFO - Epoch(train) [91][1660/1879] lr: 1.0000e-02 eta: 1 day, 13:12:14 time: 0.4307 data_time: 0.0176 memory: 17087 grad_norm: 5.3277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3788 loss: 1.3788 2022/08/04 06:05:51 - mmengine - INFO - Epoch(train) [91][1680/1879] lr: 1.0000e-02 eta: 1 day, 13:12:05 time: 0.4435 data_time: 0.0168 memory: 17087 grad_norm: 5.4058 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5024 loss: 1.5024 2022/08/04 06:06:00 - mmengine - INFO - Epoch(train) [91][1700/1879] lr: 1.0000e-02 eta: 1 day, 13:11:57 time: 0.4368 data_time: 0.0212 memory: 17087 grad_norm: 5.3490 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4977 loss: 1.4977 2022/08/04 06:06:09 - mmengine - INFO - Epoch(train) [91][1720/1879] lr: 1.0000e-02 eta: 1 day, 13:11:48 time: 0.4264 data_time: 0.0133 memory: 17087 grad_norm: 5.1655 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3479 loss: 1.3479 2022/08/04 06:06:18 - mmengine - INFO - Epoch(train) [91][1740/1879] lr: 1.0000e-02 eta: 1 day, 13:11:40 time: 0.4519 data_time: 0.0194 memory: 17087 grad_norm: 5.3966 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5498 loss: 1.5498 2022/08/04 06:06:26 - mmengine - INFO - Epoch(train) [91][1760/1879] lr: 1.0000e-02 eta: 1 day, 13:11:31 time: 0.4251 data_time: 0.0130 memory: 17087 grad_norm: 5.5338 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4677 loss: 1.4677 2022/08/04 06:06:35 - mmengine - INFO - Epoch(train) [91][1780/1879] lr: 1.0000e-02 eta: 1 day, 13:11:23 time: 0.4542 data_time: 0.0217 memory: 17087 grad_norm: 5.2697 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6830 loss: 1.6830 2022/08/04 06:06:44 - mmengine - INFO - Epoch(train) [91][1800/1879] lr: 1.0000e-02 eta: 1 day, 13:11:15 time: 0.4257 data_time: 0.0138 memory: 17087 grad_norm: 5.2735 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2808 loss: 1.2808 2022/08/04 06:06:52 - mmengine - INFO - Epoch(train) [91][1820/1879] lr: 1.0000e-02 eta: 1 day, 13:11:06 time: 0.4277 data_time: 0.0172 memory: 17087 grad_norm: 5.4769 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6974 loss: 1.6974 2022/08/04 06:07:01 - mmengine - INFO - Epoch(train) [91][1840/1879] lr: 1.0000e-02 eta: 1 day, 13:10:57 time: 0.4340 data_time: 0.0206 memory: 17087 grad_norm: 5.3072 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4963 loss: 1.4963 2022/08/04 06:07:10 - mmengine - INFO - Epoch(train) [91][1860/1879] lr: 1.0000e-02 eta: 1 day, 13:10:49 time: 0.4271 data_time: 0.0160 memory: 17087 grad_norm: 5.1478 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5277 loss: 1.5277 2022/08/04 06:07:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 06:07:17 - mmengine - INFO - Epoch(train) [91][1879/1879] lr: 1.0000e-02 eta: 1 day, 13:10:49 time: 0.4123 data_time: 0.0152 memory: 17087 grad_norm: 5.6683 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.4868 loss: 1.4868 2022/08/04 06:07:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 06:07:29 - mmengine - INFO - Epoch(train) [92][20/1879] lr: 1.0000e-02 eta: 1 day, 13:10:22 time: 0.5807 data_time: 0.1304 memory: 17087 grad_norm: 5.3624 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5637 loss: 1.5637 2022/08/04 06:07:38 - mmengine - INFO - Epoch(train) [92][40/1879] lr: 1.0000e-02 eta: 1 day, 13:10:14 time: 0.4302 data_time: 0.0196 memory: 17087 grad_norm: 5.2664 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4386 loss: 1.4386 2022/08/04 06:07:46 - mmengine - INFO - Epoch(train) [92][60/1879] lr: 1.0000e-02 eta: 1 day, 13:10:05 time: 0.4334 data_time: 0.0172 memory: 17087 grad_norm: 5.1231 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2461 loss: 1.2461 2022/08/04 06:07:55 - mmengine - INFO - Epoch(train) [92][80/1879] lr: 1.0000e-02 eta: 1 day, 13:09:56 time: 0.4286 data_time: 0.0176 memory: 17087 grad_norm: 5.2577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4258 loss: 1.4258 2022/08/04 06:08:04 - mmengine - INFO - Epoch(train) [92][100/1879] lr: 1.0000e-02 eta: 1 day, 13:09:47 time: 0.4257 data_time: 0.0165 memory: 17087 grad_norm: 5.1419 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3269 loss: 1.3269 2022/08/04 06:08:12 - mmengine - INFO - Epoch(train) [92][120/1879] lr: 1.0000e-02 eta: 1 day, 13:09:39 time: 0.4316 data_time: 0.0165 memory: 17087 grad_norm: 5.3156 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6268 loss: 1.6268 2022/08/04 06:08:21 - mmengine - INFO - Epoch(train) [92][140/1879] lr: 1.0000e-02 eta: 1 day, 13:09:30 time: 0.4261 data_time: 0.0137 memory: 17087 grad_norm: 5.3362 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4146 loss: 1.4146 2022/08/04 06:08:29 - mmengine - INFO - Epoch(train) [92][160/1879] lr: 1.0000e-02 eta: 1 day, 13:09:21 time: 0.4362 data_time: 0.0173 memory: 17087 grad_norm: 5.2504 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5687 loss: 1.5687 2022/08/04 06:08:38 - mmengine - INFO - Epoch(train) [92][180/1879] lr: 1.0000e-02 eta: 1 day, 13:09:13 time: 0.4277 data_time: 0.0173 memory: 17087 grad_norm: 5.2924 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4467 loss: 1.4467 2022/08/04 06:08:47 - mmengine - INFO - Epoch(train) [92][200/1879] lr: 1.0000e-02 eta: 1 day, 13:09:05 time: 0.4492 data_time: 0.0168 memory: 17087 grad_norm: 5.3411 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5578 loss: 1.5578 2022/08/04 06:08:56 - mmengine - INFO - Epoch(train) [92][220/1879] lr: 1.0000e-02 eta: 1 day, 13:08:56 time: 0.4265 data_time: 0.0159 memory: 17087 grad_norm: 5.1219 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5542 loss: 1.5542 2022/08/04 06:09:04 - mmengine - INFO - Epoch(train) [92][240/1879] lr: 1.0000e-02 eta: 1 day, 13:08:47 time: 0.4279 data_time: 0.0156 memory: 17087 grad_norm: 5.4944 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5876 loss: 1.5876 2022/08/04 06:09:13 - mmengine - INFO - Epoch(train) [92][260/1879] lr: 1.0000e-02 eta: 1 day, 13:08:38 time: 0.4321 data_time: 0.0197 memory: 17087 grad_norm: 5.2916 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4035 loss: 1.4035 2022/08/04 06:09:21 - mmengine - INFO - Epoch(train) [92][280/1879] lr: 1.0000e-02 eta: 1 day, 13:08:30 time: 0.4266 data_time: 0.0149 memory: 17087 grad_norm: 5.3495 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4287 loss: 1.4287 2022/08/04 06:09:30 - mmengine - INFO - Epoch(train) [92][300/1879] lr: 1.0000e-02 eta: 1 day, 13:08:21 time: 0.4300 data_time: 0.0158 memory: 17087 grad_norm: 5.2877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5686 loss: 1.5686 2022/08/04 06:09:39 - mmengine - INFO - Epoch(train) [92][320/1879] lr: 1.0000e-02 eta: 1 day, 13:08:12 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 5.4426 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6599 loss: 1.6599 2022/08/04 06:09:47 - mmengine - INFO - Epoch(train) [92][340/1879] lr: 1.0000e-02 eta: 1 day, 13:08:04 time: 0.4374 data_time: 0.0162 memory: 17087 grad_norm: 5.3742 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4433 loss: 1.4433 2022/08/04 06:09:56 - mmengine - INFO - Epoch(train) [92][360/1879] lr: 1.0000e-02 eta: 1 day, 13:07:55 time: 0.4264 data_time: 0.0155 memory: 17087 grad_norm: 5.3809 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3058 loss: 1.3058 2022/08/04 06:10:05 - mmengine - INFO - Epoch(train) [92][380/1879] lr: 1.0000e-02 eta: 1 day, 13:07:46 time: 0.4324 data_time: 0.0148 memory: 17087 grad_norm: 5.4778 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3997 loss: 1.3997 2022/08/04 06:10:14 - mmengine - INFO - Epoch(train) [92][400/1879] lr: 1.0000e-02 eta: 1 day, 13:07:38 time: 0.4505 data_time: 0.0171 memory: 17087 grad_norm: 5.4982 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5682 loss: 1.5682 2022/08/04 06:10:22 - mmengine - INFO - Epoch(train) [92][420/1879] lr: 1.0000e-02 eta: 1 day, 13:07:30 time: 0.4275 data_time: 0.0147 memory: 17087 grad_norm: 5.2726 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4739 loss: 1.4739 2022/08/04 06:10:31 - mmengine - INFO - Epoch(train) [92][440/1879] lr: 1.0000e-02 eta: 1 day, 13:07:22 time: 0.4662 data_time: 0.0182 memory: 17087 grad_norm: 5.3969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5412 loss: 1.5412 2022/08/04 06:10:40 - mmengine - INFO - Epoch(train) [92][460/1879] lr: 1.0000e-02 eta: 1 day, 13:07:14 time: 0.4388 data_time: 0.0160 memory: 17087 grad_norm: 5.3786 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5166 loss: 1.5166 2022/08/04 06:10:49 - mmengine - INFO - Epoch(train) [92][480/1879] lr: 1.0000e-02 eta: 1 day, 13:07:05 time: 0.4276 data_time: 0.0158 memory: 17087 grad_norm: 5.3592 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3291 loss: 1.3291 2022/08/04 06:10:58 - mmengine - INFO - Epoch(train) [92][500/1879] lr: 1.0000e-02 eta: 1 day, 13:06:57 time: 0.4511 data_time: 0.0180 memory: 17087 grad_norm: 5.2879 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3487 loss: 1.3487 2022/08/04 06:11:06 - mmengine - INFO - Epoch(train) [92][520/1879] lr: 1.0000e-02 eta: 1 day, 13:06:48 time: 0.4277 data_time: 0.0158 memory: 17087 grad_norm: 5.3110 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3856 loss: 1.3856 2022/08/04 06:11:16 - mmengine - INFO - Epoch(train) [92][540/1879] lr: 1.0000e-02 eta: 1 day, 13:06:41 time: 0.4624 data_time: 0.0170 memory: 17087 grad_norm: 5.3273 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2763 loss: 1.2763 2022/08/04 06:11:24 - mmengine - INFO - Epoch(train) [92][560/1879] lr: 1.0000e-02 eta: 1 day, 13:06:32 time: 0.4269 data_time: 0.0148 memory: 17087 grad_norm: 5.2841 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4703 loss: 1.4703 2022/08/04 06:11:33 - mmengine - INFO - Epoch(train) [92][580/1879] lr: 1.0000e-02 eta: 1 day, 13:06:23 time: 0.4309 data_time: 0.0192 memory: 17087 grad_norm: 5.3188 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5614 loss: 1.5614 2022/08/04 06:11:42 - mmengine - INFO - Epoch(train) [92][600/1879] lr: 1.0000e-02 eta: 1 day, 13:06:16 time: 0.4661 data_time: 0.0168 memory: 17087 grad_norm: 5.1007 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5399 loss: 1.5399 2022/08/04 06:11:51 - mmengine - INFO - Epoch(train) [92][620/1879] lr: 1.0000e-02 eta: 1 day, 13:06:07 time: 0.4250 data_time: 0.0138 memory: 17087 grad_norm: 5.3159 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5309 loss: 1.5309 2022/08/04 06:11:59 - mmengine - INFO - Epoch(train) [92][640/1879] lr: 1.0000e-02 eta: 1 day, 13:05:59 time: 0.4394 data_time: 0.0234 memory: 17087 grad_norm: 5.3743 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5699 loss: 1.5699 2022/08/04 06:12:08 - mmengine - INFO - Epoch(train) [92][660/1879] lr: 1.0000e-02 eta: 1 day, 13:05:50 time: 0.4278 data_time: 0.0147 memory: 17087 grad_norm: 5.2387 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7436 loss: 1.7436 2022/08/04 06:12:17 - mmengine - INFO - Epoch(train) [92][680/1879] lr: 1.0000e-02 eta: 1 day, 13:05:41 time: 0.4352 data_time: 0.0165 memory: 17087 grad_norm: 5.0697 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3476 loss: 1.3476 2022/08/04 06:12:25 - mmengine - INFO - Epoch(train) [92][700/1879] lr: 1.0000e-02 eta: 1 day, 13:05:33 time: 0.4269 data_time: 0.0155 memory: 17087 grad_norm: 5.3220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4664 loss: 1.4664 2022/08/04 06:12:34 - mmengine - INFO - Epoch(train) [92][720/1879] lr: 1.0000e-02 eta: 1 day, 13:05:24 time: 0.4256 data_time: 0.0156 memory: 17087 grad_norm: 5.1182 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6590 loss: 1.6590 2022/08/04 06:12:43 - mmengine - INFO - Epoch(train) [92][740/1879] lr: 1.0000e-02 eta: 1 day, 13:05:16 time: 0.4542 data_time: 0.0160 memory: 17087 grad_norm: 5.4134 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4164 loss: 1.4164 2022/08/04 06:12:51 - mmengine - INFO - Epoch(train) [92][760/1879] lr: 1.0000e-02 eta: 1 day, 13:05:07 time: 0.4271 data_time: 0.0143 memory: 17087 grad_norm: 5.3723 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7243 loss: 1.7243 2022/08/04 06:13:01 - mmengine - INFO - Epoch(train) [92][780/1879] lr: 1.0000e-02 eta: 1 day, 13:04:59 time: 0.4555 data_time: 0.0153 memory: 17087 grad_norm: 5.3725 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4154 loss: 1.4154 2022/08/04 06:13:09 - mmengine - INFO - Epoch(train) [92][800/1879] lr: 1.0000e-02 eta: 1 day, 13:04:51 time: 0.4324 data_time: 0.0206 memory: 17087 grad_norm: 5.4916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6099 loss: 1.6099 2022/08/04 06:13:18 - mmengine - INFO - Epoch(train) [92][820/1879] lr: 1.0000e-02 eta: 1 day, 13:04:42 time: 0.4305 data_time: 0.0160 memory: 17087 grad_norm: 5.2461 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5712 loss: 1.5712 2022/08/04 06:13:26 - mmengine - INFO - Epoch(train) [92][840/1879] lr: 1.0000e-02 eta: 1 day, 13:04:33 time: 0.4261 data_time: 0.0154 memory: 17087 grad_norm: 5.4012 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5220 loss: 1.5220 2022/08/04 06:13:36 - mmengine - INFO - Epoch(train) [92][860/1879] lr: 1.0000e-02 eta: 1 day, 13:04:26 time: 0.4601 data_time: 0.0152 memory: 17087 grad_norm: 5.3474 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6315 loss: 1.6315 2022/08/04 06:13:44 - mmengine - INFO - Epoch(train) [92][880/1879] lr: 1.0000e-02 eta: 1 day, 13:04:17 time: 0.4286 data_time: 0.0159 memory: 17087 grad_norm: 5.3879 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4468 loss: 1.4468 2022/08/04 06:13:53 - mmengine - INFO - Epoch(train) [92][900/1879] lr: 1.0000e-02 eta: 1 day, 13:04:08 time: 0.4270 data_time: 0.0146 memory: 17087 grad_norm: 5.3298 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4325 loss: 1.4325 2022/08/04 06:14:02 - mmengine - INFO - Epoch(train) [92][920/1879] lr: 1.0000e-02 eta: 1 day, 13:04:00 time: 0.4614 data_time: 0.0212 memory: 17087 grad_norm: 5.3367 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5229 loss: 1.5229 2022/08/04 06:14:11 - mmengine - INFO - Epoch(train) [92][940/1879] lr: 1.0000e-02 eta: 1 day, 13:03:52 time: 0.4259 data_time: 0.0145 memory: 17087 grad_norm: 5.3738 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6813 loss: 1.6813 2022/08/04 06:14:19 - mmengine - INFO - Epoch(train) [92][960/1879] lr: 1.0000e-02 eta: 1 day, 13:03:44 time: 0.4494 data_time: 0.0213 memory: 17087 grad_norm: 5.2458 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.7291 loss: 1.7291 2022/08/04 06:14:28 - mmengine - INFO - Epoch(train) [92][980/1879] lr: 1.0000e-02 eta: 1 day, 13:03:35 time: 0.4297 data_time: 0.0150 memory: 17087 grad_norm: 5.2957 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4919 loss: 1.4919 2022/08/04 06:14:37 - mmengine - INFO - Epoch(train) [92][1000/1879] lr: 1.0000e-02 eta: 1 day, 13:03:27 time: 0.4397 data_time: 0.0190 memory: 17087 grad_norm: 5.2189 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3890 loss: 1.3890 2022/08/04 06:14:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 06:14:45 - mmengine - INFO - Epoch(train) [92][1020/1879] lr: 1.0000e-02 eta: 1 day, 13:03:18 time: 0.4268 data_time: 0.0143 memory: 17087 grad_norm: 5.4189 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4962 loss: 1.4962 2022/08/04 06:14:54 - mmengine - INFO - Epoch(train) [92][1040/1879] lr: 1.0000e-02 eta: 1 day, 13:03:09 time: 0.4288 data_time: 0.0167 memory: 17087 grad_norm: 5.4002 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5370 loss: 1.5370 2022/08/04 06:15:03 - mmengine - INFO - Epoch(train) [92][1060/1879] lr: 1.0000e-02 eta: 1 day, 13:03:02 time: 0.4652 data_time: 0.0147 memory: 17087 grad_norm: 5.3785 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6064 loss: 1.6064 2022/08/04 06:15:12 - mmengine - INFO - Epoch(train) [92][1080/1879] lr: 1.0000e-02 eta: 1 day, 13:02:53 time: 0.4254 data_time: 0.0152 memory: 17087 grad_norm: 5.3101 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4121 loss: 1.4121 2022/08/04 06:15:21 - mmengine - INFO - Epoch(train) [92][1100/1879] lr: 1.0000e-02 eta: 1 day, 13:02:45 time: 0.4550 data_time: 0.0218 memory: 17087 grad_norm: 5.2677 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6250 loss: 1.6250 2022/08/04 06:15:30 - mmengine - INFO - Epoch(train) [92][1120/1879] lr: 1.0000e-02 eta: 1 day, 13:02:36 time: 0.4334 data_time: 0.0169 memory: 17087 grad_norm: 5.2702 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3738 loss: 1.3738 2022/08/04 06:15:38 - mmengine - INFO - Epoch(train) [92][1140/1879] lr: 1.0000e-02 eta: 1 day, 13:02:28 time: 0.4253 data_time: 0.0125 memory: 17087 grad_norm: 5.3924 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.8175 loss: 1.8175 2022/08/04 06:15:47 - mmengine - INFO - Epoch(train) [92][1160/1879] lr: 1.0000e-02 eta: 1 day, 13:02:19 time: 0.4467 data_time: 0.0185 memory: 17087 grad_norm: 5.3050 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4679 loss: 1.4679 2022/08/04 06:15:56 - mmengine - INFO - Epoch(train) [92][1180/1879] lr: 1.0000e-02 eta: 1 day, 13:02:11 time: 0.4272 data_time: 0.0143 memory: 17087 grad_norm: 5.4787 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.6607 loss: 1.6607 2022/08/04 06:16:04 - mmengine - INFO - Epoch(train) [92][1200/1879] lr: 1.0000e-02 eta: 1 day, 13:02:02 time: 0.4269 data_time: 0.0161 memory: 17087 grad_norm: 5.4513 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5835 loss: 1.5835 2022/08/04 06:16:13 - mmengine - INFO - Epoch(train) [92][1220/1879] lr: 1.0000e-02 eta: 1 day, 13:01:53 time: 0.4307 data_time: 0.0146 memory: 17087 grad_norm: 5.1491 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5576 loss: 1.5576 2022/08/04 06:16:21 - mmengine - INFO - Epoch(train) [92][1240/1879] lr: 1.0000e-02 eta: 1 day, 13:01:44 time: 0.4273 data_time: 0.0163 memory: 17087 grad_norm: 5.4088 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5159 loss: 1.5159 2022/08/04 06:16:30 - mmengine - INFO - Epoch(train) [92][1260/1879] lr: 1.0000e-02 eta: 1 day, 13:01:36 time: 0.4302 data_time: 0.0150 memory: 17087 grad_norm: 5.3828 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5751 loss: 1.5751 2022/08/04 06:16:39 - mmengine - INFO - Epoch(train) [92][1280/1879] lr: 1.0000e-02 eta: 1 day, 13:01:27 time: 0.4271 data_time: 0.0167 memory: 17087 grad_norm: 5.4569 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6838 loss: 1.6838 2022/08/04 06:16:48 - mmengine - INFO - Epoch(train) [92][1300/1879] lr: 1.0000e-02 eta: 1 day, 13:01:19 time: 0.4550 data_time: 0.0156 memory: 17087 grad_norm: 5.4464 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5110 loss: 1.5110 2022/08/04 06:16:56 - mmengine - INFO - Epoch(train) [92][1320/1879] lr: 1.0000e-02 eta: 1 day, 13:01:10 time: 0.4293 data_time: 0.0171 memory: 17087 grad_norm: 5.3921 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4440 loss: 1.4440 2022/08/04 06:17:05 - mmengine - INFO - Epoch(train) [92][1340/1879] lr: 1.0000e-02 eta: 1 day, 13:01:01 time: 0.4247 data_time: 0.0128 memory: 17087 grad_norm: 5.3019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7398 loss: 1.7398 2022/08/04 06:17:13 - mmengine - INFO - Epoch(train) [92][1360/1879] lr: 1.0000e-02 eta: 1 day, 13:00:53 time: 0.4326 data_time: 0.0181 memory: 17087 grad_norm: 5.2076 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7608 loss: 1.7608 2022/08/04 06:17:22 - mmengine - INFO - Epoch(train) [92][1380/1879] lr: 1.0000e-02 eta: 1 day, 13:00:44 time: 0.4272 data_time: 0.0136 memory: 17087 grad_norm: 5.3455 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5025 loss: 1.5025 2022/08/04 06:17:31 - mmengine - INFO - Epoch(train) [92][1400/1879] lr: 1.0000e-02 eta: 1 day, 13:00:36 time: 0.4542 data_time: 0.0166 memory: 17087 grad_norm: 5.3809 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.7584 loss: 1.7584 2022/08/04 06:17:40 - mmengine - INFO - Epoch(train) [92][1420/1879] lr: 1.0000e-02 eta: 1 day, 13:00:27 time: 0.4266 data_time: 0.0152 memory: 17087 grad_norm: 5.2300 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5157 loss: 1.5157 2022/08/04 06:17:49 - mmengine - INFO - Epoch(train) [92][1440/1879] lr: 1.0000e-02 eta: 1 day, 13:00:19 time: 0.4497 data_time: 0.0167 memory: 17087 grad_norm: 5.2075 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4187 loss: 1.4187 2022/08/04 06:17:57 - mmengine - INFO - Epoch(train) [92][1460/1879] lr: 1.0000e-02 eta: 1 day, 13:00:11 time: 0.4284 data_time: 0.0173 memory: 17087 grad_norm: 5.1997 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4214 loss: 1.4214 2022/08/04 06:18:06 - mmengine - INFO - Epoch(train) [92][1480/1879] lr: 1.0000e-02 eta: 1 day, 13:00:03 time: 0.4557 data_time: 0.0168 memory: 17087 grad_norm: 5.3394 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4871 loss: 1.4871 2022/08/04 06:18:15 - mmengine - INFO - Epoch(train) [92][1500/1879] lr: 1.0000e-02 eta: 1 day, 12:59:54 time: 0.4265 data_time: 0.0145 memory: 17087 grad_norm: 5.3305 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4752 loss: 1.4752 2022/08/04 06:18:23 - mmengine - INFO - Epoch(train) [92][1520/1879] lr: 1.0000e-02 eta: 1 day, 12:59:45 time: 0.4269 data_time: 0.0153 memory: 17087 grad_norm: 5.2947 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6008 loss: 1.6008 2022/08/04 06:18:32 - mmengine - INFO - Epoch(train) [92][1540/1879] lr: 1.0000e-02 eta: 1 day, 12:59:37 time: 0.4395 data_time: 0.0155 memory: 17087 grad_norm: 5.3084 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6574 loss: 1.6574 2022/08/04 06:18:41 - mmengine - INFO - Epoch(train) [92][1560/1879] lr: 1.0000e-02 eta: 1 day, 12:59:28 time: 0.4291 data_time: 0.0164 memory: 17087 grad_norm: 5.4604 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3992 loss: 1.3992 2022/08/04 06:18:50 - mmengine - INFO - Epoch(train) [92][1580/1879] lr: 1.0000e-02 eta: 1 day, 12:59:20 time: 0.4469 data_time: 0.0166 memory: 17087 grad_norm: 5.4914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4366 loss: 1.4366 2022/08/04 06:18:58 - mmengine - INFO - Epoch(train) [92][1600/1879] lr: 1.0000e-02 eta: 1 day, 12:59:11 time: 0.4313 data_time: 0.0158 memory: 17087 grad_norm: 5.4341 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4295 loss: 1.4295 2022/08/04 06:19:07 - mmengine - INFO - Epoch(train) [92][1620/1879] lr: 1.0000e-02 eta: 1 day, 12:59:03 time: 0.4402 data_time: 0.0150 memory: 17087 grad_norm: 5.2837 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5235 loss: 1.5235 2022/08/04 06:19:16 - mmengine - INFO - Epoch(train) [92][1640/1879] lr: 1.0000e-02 eta: 1 day, 12:58:54 time: 0.4256 data_time: 0.0151 memory: 17087 grad_norm: 5.3580 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4785 loss: 1.4785 2022/08/04 06:19:24 - mmengine - INFO - Epoch(train) [92][1660/1879] lr: 1.0000e-02 eta: 1 day, 12:58:45 time: 0.4266 data_time: 0.0149 memory: 17087 grad_norm: 5.4889 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4754 loss: 1.4754 2022/08/04 06:19:33 - mmengine - INFO - Epoch(train) [92][1680/1879] lr: 1.0000e-02 eta: 1 day, 12:58:37 time: 0.4484 data_time: 0.0176 memory: 17087 grad_norm: 5.4000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3263 loss: 1.3263 2022/08/04 06:19:42 - mmengine - INFO - Epoch(train) [92][1700/1879] lr: 1.0000e-02 eta: 1 day, 12:58:29 time: 0.4284 data_time: 0.0143 memory: 17087 grad_norm: 5.4258 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6428 loss: 1.6428 2022/08/04 06:19:51 - mmengine - INFO - Epoch(train) [92][1720/1879] lr: 1.0000e-02 eta: 1 day, 12:58:20 time: 0.4417 data_time: 0.0170 memory: 17087 grad_norm: 5.2676 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6647 loss: 1.6647 2022/08/04 06:19:59 - mmengine - INFO - Epoch(train) [92][1740/1879] lr: 1.0000e-02 eta: 1 day, 12:58:12 time: 0.4265 data_time: 0.0150 memory: 17087 grad_norm: 5.3052 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6027 loss: 1.6027 2022/08/04 06:20:08 - mmengine - INFO - Epoch(train) [92][1760/1879] lr: 1.0000e-02 eta: 1 day, 12:58:03 time: 0.4351 data_time: 0.0164 memory: 17087 grad_norm: 5.4081 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.6431 loss: 1.6431 2022/08/04 06:20:16 - mmengine - INFO - Epoch(train) [92][1780/1879] lr: 1.0000e-02 eta: 1 day, 12:57:54 time: 0.4259 data_time: 0.0160 memory: 17087 grad_norm: 5.1728 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.4522 loss: 1.4522 2022/08/04 06:20:25 - mmengine - INFO - Epoch(train) [92][1800/1879] lr: 1.0000e-02 eta: 1 day, 12:57:45 time: 0.4264 data_time: 0.0151 memory: 17087 grad_norm: 5.2720 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6213 loss: 1.6213 2022/08/04 06:20:34 - mmengine - INFO - Epoch(train) [92][1820/1879] lr: 1.0000e-02 eta: 1 day, 12:57:37 time: 0.4331 data_time: 0.0173 memory: 17087 grad_norm: 5.2278 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3638 loss: 1.3638 2022/08/04 06:20:42 - mmengine - INFO - Epoch(train) [92][1840/1879] lr: 1.0000e-02 eta: 1 day, 12:57:28 time: 0.4268 data_time: 0.0161 memory: 17087 grad_norm: 5.4102 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4447 loss: 1.4447 2022/08/04 06:20:51 - mmengine - INFO - Epoch(train) [92][1860/1879] lr: 1.0000e-02 eta: 1 day, 12:57:20 time: 0.4540 data_time: 0.0156 memory: 17087 grad_norm: 5.4143 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5133 loss: 1.5133 2022/08/04 06:20:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 06:20:59 - mmengine - INFO - Epoch(train) [92][1879/1879] lr: 1.0000e-02 eta: 1 day, 12:57:20 time: 0.4068 data_time: 0.0143 memory: 17087 grad_norm: 5.4046 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.4691 loss: 1.4691 2022/08/04 06:20:59 - mmengine - INFO - Saving checkpoint at 92 epochs 2022/08/04 06:21:13 - mmengine - INFO - Epoch(train) [93][20/1879] lr: 1.0000e-02 eta: 1 day, 12:56:52 time: 0.5164 data_time: 0.1037 memory: 17087 grad_norm: 5.1278 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5046 loss: 1.5046 2022/08/04 06:21:22 - mmengine - INFO - Epoch(train) [93][40/1879] lr: 1.0000e-02 eta: 1 day, 12:56:44 time: 0.4561 data_time: 0.0186 memory: 17087 grad_norm: 5.4419 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3524 loss: 1.3524 2022/08/04 06:21:31 - mmengine - INFO - Epoch(train) [93][60/1879] lr: 1.0000e-02 eta: 1 day, 12:56:35 time: 0.4335 data_time: 0.0144 memory: 17087 grad_norm: 5.1685 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4970 loss: 1.4970 2022/08/04 06:21:39 - mmengine - INFO - Epoch(train) [93][80/1879] lr: 1.0000e-02 eta: 1 day, 12:56:27 time: 0.4346 data_time: 0.0175 memory: 17087 grad_norm: 5.2479 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4739 loss: 1.4739 2022/08/04 06:21:48 - mmengine - INFO - Epoch(train) [93][100/1879] lr: 1.0000e-02 eta: 1 day, 12:56:18 time: 0.4276 data_time: 0.0149 memory: 17087 grad_norm: 5.3809 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5470 loss: 1.5470 2022/08/04 06:21:58 - mmengine - INFO - Epoch(train) [93][120/1879] lr: 1.0000e-02 eta: 1 day, 12:56:11 time: 0.4823 data_time: 0.0170 memory: 17087 grad_norm: 5.4606 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.7414 loss: 1.7414 2022/08/04 06:22:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 06:22:06 - mmengine - INFO - Epoch(train) [93][140/1879] lr: 1.0000e-02 eta: 1 day, 12:56:03 time: 0.4308 data_time: 0.0179 memory: 17087 grad_norm: 5.1713 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3975 loss: 1.3975 2022/08/04 06:22:15 - mmengine - INFO - Epoch(train) [93][160/1879] lr: 1.0000e-02 eta: 1 day, 12:55:54 time: 0.4263 data_time: 0.0166 memory: 17087 grad_norm: 5.2050 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2904 loss: 1.2904 2022/08/04 06:22:23 - mmengine - INFO - Epoch(train) [93][180/1879] lr: 1.0000e-02 eta: 1 day, 12:55:45 time: 0.4255 data_time: 0.0133 memory: 17087 grad_norm: 5.3775 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4158 loss: 1.4158 2022/08/04 06:22:32 - mmengine - INFO - Epoch(train) [93][200/1879] lr: 1.0000e-02 eta: 1 day, 12:55:36 time: 0.4342 data_time: 0.0179 memory: 17087 grad_norm: 5.2252 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6337 loss: 1.6337 2022/08/04 06:22:41 - mmengine - INFO - Epoch(train) [93][220/1879] lr: 1.0000e-02 eta: 1 day, 12:55:28 time: 0.4490 data_time: 0.0133 memory: 17087 grad_norm: 5.3467 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6301 loss: 1.6301 2022/08/04 06:22:50 - mmengine - INFO - Epoch(train) [93][240/1879] lr: 1.0000e-02 eta: 1 day, 12:55:20 time: 0.4289 data_time: 0.0165 memory: 17087 grad_norm: 5.4170 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4707 loss: 1.4707 2022/08/04 06:22:58 - mmengine - INFO - Epoch(train) [93][260/1879] lr: 1.0000e-02 eta: 1 day, 12:55:11 time: 0.4407 data_time: 0.0217 memory: 17087 grad_norm: 5.3433 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4371 loss: 1.4371 2022/08/04 06:23:07 - mmengine - INFO - Epoch(train) [93][280/1879] lr: 1.0000e-02 eta: 1 day, 12:55:03 time: 0.4331 data_time: 0.0175 memory: 17087 grad_norm: 5.3652 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5290 loss: 1.5290 2022/08/04 06:23:16 - mmengine - INFO - Epoch(train) [93][300/1879] lr: 1.0000e-02 eta: 1 day, 12:54:54 time: 0.4297 data_time: 0.0143 memory: 17087 grad_norm: 5.4097 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4457 loss: 1.4457 2022/08/04 06:23:25 - mmengine - INFO - Epoch(train) [93][320/1879] lr: 1.0000e-02 eta: 1 day, 12:54:46 time: 0.4507 data_time: 0.0170 memory: 17087 grad_norm: 5.3503 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5734 loss: 1.5734 2022/08/04 06:23:33 - mmengine - INFO - Epoch(train) [93][340/1879] lr: 1.0000e-02 eta: 1 day, 12:54:37 time: 0.4247 data_time: 0.0131 memory: 17087 grad_norm: 5.3447 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3784 loss: 1.3784 2022/08/04 06:23:42 - mmengine - INFO - Epoch(train) [93][360/1879] lr: 1.0000e-02 eta: 1 day, 12:54:29 time: 0.4318 data_time: 0.0170 memory: 17087 grad_norm: 5.3612 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4884 loss: 1.4884 2022/08/04 06:23:50 - mmengine - INFO - Epoch(train) [93][380/1879] lr: 1.0000e-02 eta: 1 day, 12:54:20 time: 0.4260 data_time: 0.0153 memory: 17087 grad_norm: 5.2391 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5536 loss: 1.5536 2022/08/04 06:23:59 - mmengine - INFO - Epoch(train) [93][400/1879] lr: 1.0000e-02 eta: 1 day, 12:54:12 time: 0.4543 data_time: 0.0171 memory: 17087 grad_norm: 5.3992 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4546 loss: 1.4546 2022/08/04 06:24:08 - mmengine - INFO - Epoch(train) [93][420/1879] lr: 1.0000e-02 eta: 1 day, 12:54:03 time: 0.4243 data_time: 0.0124 memory: 17087 grad_norm: 5.4434 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4492 loss: 1.4492 2022/08/04 06:24:17 - mmengine - INFO - Epoch(train) [93][440/1879] lr: 1.0000e-02 eta: 1 day, 12:53:54 time: 0.4347 data_time: 0.0175 memory: 17087 grad_norm: 5.4600 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.7096 loss: 1.7096 2022/08/04 06:24:25 - mmengine - INFO - Epoch(train) [93][460/1879] lr: 1.0000e-02 eta: 1 day, 12:53:46 time: 0.4259 data_time: 0.0148 memory: 17087 grad_norm: 5.0422 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3638 loss: 1.3638 2022/08/04 06:24:34 - mmengine - INFO - Epoch(train) [93][480/1879] lr: 1.0000e-02 eta: 1 day, 12:53:37 time: 0.4261 data_time: 0.0157 memory: 17087 grad_norm: 5.1072 top1_acc: 0.3125 top5_acc: 0.7500 loss_cls: 1.6009 loss: 1.6009 2022/08/04 06:24:43 - mmengine - INFO - Epoch(train) [93][500/1879] lr: 1.0000e-02 eta: 1 day, 12:53:28 time: 0.4386 data_time: 0.0164 memory: 17087 grad_norm: 5.4260 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5741 loss: 1.5741 2022/08/04 06:24:51 - mmengine - INFO - Epoch(train) [93][520/1879] lr: 1.0000e-02 eta: 1 day, 12:53:20 time: 0.4282 data_time: 0.0159 memory: 17087 grad_norm: 5.3230 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3509 loss: 1.3509 2022/08/04 06:25:00 - mmengine - INFO - Epoch(train) [93][540/1879] lr: 1.0000e-02 eta: 1 day, 12:53:12 time: 0.4472 data_time: 0.0166 memory: 17087 grad_norm: 5.3740 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.5535 loss: 1.5535 2022/08/04 06:25:09 - mmengine - INFO - Epoch(train) [93][560/1879] lr: 1.0000e-02 eta: 1 day, 12:53:03 time: 0.4281 data_time: 0.0163 memory: 17087 grad_norm: 5.3521 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5223 loss: 1.5223 2022/08/04 06:25:17 - mmengine - INFO - Epoch(train) [93][580/1879] lr: 1.0000e-02 eta: 1 day, 12:52:54 time: 0.4344 data_time: 0.0150 memory: 17087 grad_norm: 5.4383 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4524 loss: 1.4524 2022/08/04 06:25:26 - mmengine - INFO - Epoch(train) [93][600/1879] lr: 1.0000e-02 eta: 1 day, 12:52:45 time: 0.4260 data_time: 0.0157 memory: 17087 grad_norm: 5.3454 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5967 loss: 1.5967 2022/08/04 06:25:34 - mmengine - INFO - Epoch(train) [93][620/1879] lr: 1.0000e-02 eta: 1 day, 12:52:37 time: 0.4273 data_time: 0.0154 memory: 17087 grad_norm: 5.2643 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6662 loss: 1.6662 2022/08/04 06:25:43 - mmengine - INFO - Epoch(train) [93][640/1879] lr: 1.0000e-02 eta: 1 day, 12:52:28 time: 0.4318 data_time: 0.0175 memory: 17087 grad_norm: 5.3616 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5597 loss: 1.5597 2022/08/04 06:25:52 - mmengine - INFO - Epoch(train) [93][660/1879] lr: 1.0000e-02 eta: 1 day, 12:52:19 time: 0.4265 data_time: 0.0168 memory: 17087 grad_norm: 5.3492 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5986 loss: 1.5986 2022/08/04 06:26:01 - mmengine - INFO - Epoch(train) [93][680/1879] lr: 1.0000e-02 eta: 1 day, 12:52:12 time: 0.4706 data_time: 0.0185 memory: 17087 grad_norm: 5.4527 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5062 loss: 1.5062 2022/08/04 06:26:10 - mmengine - INFO - Epoch(train) [93][700/1879] lr: 1.0000e-02 eta: 1 day, 12:52:03 time: 0.4311 data_time: 0.0155 memory: 17087 grad_norm: 5.3990 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5461 loss: 1.5461 2022/08/04 06:26:18 - mmengine - INFO - Epoch(train) [93][720/1879] lr: 1.0000e-02 eta: 1 day, 12:51:55 time: 0.4364 data_time: 0.0188 memory: 17087 grad_norm: 5.3092 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4845 loss: 1.4845 2022/08/04 06:26:27 - mmengine - INFO - Epoch(train) [93][740/1879] lr: 1.0000e-02 eta: 1 day, 12:51:46 time: 0.4272 data_time: 0.0155 memory: 17087 grad_norm: 5.2671 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4377 loss: 1.4377 2022/08/04 06:26:35 - mmengine - INFO - Epoch(train) [93][760/1879] lr: 1.0000e-02 eta: 1 day, 12:51:37 time: 0.4256 data_time: 0.0151 memory: 17087 grad_norm: 5.3485 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.5900 loss: 1.5900 2022/08/04 06:26:44 - mmengine - INFO - Epoch(train) [93][780/1879] lr: 1.0000e-02 eta: 1 day, 12:51:29 time: 0.4482 data_time: 0.0167 memory: 17087 grad_norm: 5.4055 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5164 loss: 1.5164 2022/08/04 06:26:53 - mmengine - INFO - Epoch(train) [93][800/1879] lr: 1.0000e-02 eta: 1 day, 12:51:20 time: 0.4273 data_time: 0.0164 memory: 17087 grad_norm: 5.2910 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4118 loss: 1.4118 2022/08/04 06:27:02 - mmengine - INFO - Epoch(train) [93][820/1879] lr: 1.0000e-02 eta: 1 day, 12:51:13 time: 0.4666 data_time: 0.0163 memory: 17087 grad_norm: 5.3617 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4576 loss: 1.4576 2022/08/04 06:27:11 - mmengine - INFO - Epoch(train) [93][840/1879] lr: 1.0000e-02 eta: 1 day, 12:51:04 time: 0.4274 data_time: 0.0159 memory: 17087 grad_norm: 5.4893 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5129 loss: 1.5129 2022/08/04 06:27:20 - mmengine - INFO - Epoch(train) [93][860/1879] lr: 1.0000e-02 eta: 1 day, 12:50:56 time: 0.4498 data_time: 0.0162 memory: 17087 grad_norm: 5.3494 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3166 loss: 1.3166 2022/08/04 06:27:29 - mmengine - INFO - Epoch(train) [93][880/1879] lr: 1.0000e-02 eta: 1 day, 12:50:47 time: 0.4302 data_time: 0.0172 memory: 17087 grad_norm: 5.1739 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.4273 loss: 1.4273 2022/08/04 06:27:37 - mmengine - INFO - Epoch(train) [93][900/1879] lr: 1.0000e-02 eta: 1 day, 12:50:39 time: 0.4287 data_time: 0.0160 memory: 17087 grad_norm: 5.4989 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5678 loss: 1.5678 2022/08/04 06:27:46 - mmengine - INFO - Epoch(train) [93][920/1879] lr: 1.0000e-02 eta: 1 day, 12:50:30 time: 0.4299 data_time: 0.0178 memory: 17087 grad_norm: 5.2992 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3576 loss: 1.3576 2022/08/04 06:27:54 - mmengine - INFO - Epoch(train) [93][940/1879] lr: 1.0000e-02 eta: 1 day, 12:50:21 time: 0.4296 data_time: 0.0147 memory: 17087 grad_norm: 5.2739 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3164 loss: 1.3164 2022/08/04 06:28:03 - mmengine - INFO - Epoch(train) [93][960/1879] lr: 1.0000e-02 eta: 1 day, 12:50:13 time: 0.4325 data_time: 0.0167 memory: 17087 grad_norm: 5.4777 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.6153 loss: 1.6153 2022/08/04 06:28:12 - mmengine - INFO - Epoch(train) [93][980/1879] lr: 1.0000e-02 eta: 1 day, 12:50:04 time: 0.4308 data_time: 0.0172 memory: 17087 grad_norm: 5.3367 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4236 loss: 1.4236 2022/08/04 06:28:20 - mmengine - INFO - Epoch(train) [93][1000/1879] lr: 1.0000e-02 eta: 1 day, 12:49:55 time: 0.4309 data_time: 0.0177 memory: 17087 grad_norm: 5.3261 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5996 loss: 1.5996 2022/08/04 06:28:29 - mmengine - INFO - Epoch(train) [93][1020/1879] lr: 1.0000e-02 eta: 1 day, 12:49:47 time: 0.4283 data_time: 0.0165 memory: 17087 grad_norm: 5.2980 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5002 loss: 1.5002 2022/08/04 06:28:37 - mmengine - INFO - Epoch(train) [93][1040/1879] lr: 1.0000e-02 eta: 1 day, 12:49:38 time: 0.4293 data_time: 0.0182 memory: 17087 grad_norm: 5.3786 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5219 loss: 1.5219 2022/08/04 06:28:46 - mmengine - INFO - Epoch(train) [93][1060/1879] lr: 1.0000e-02 eta: 1 day, 12:49:29 time: 0.4288 data_time: 0.0148 memory: 17087 grad_norm: 5.3030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3294 loss: 1.3294 2022/08/04 06:28:55 - mmengine - INFO - Epoch(train) [93][1080/1879] lr: 1.0000e-02 eta: 1 day, 12:49:21 time: 0.4376 data_time: 0.0173 memory: 17087 grad_norm: 5.1975 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5058 loss: 1.5058 2022/08/04 06:29:03 - mmengine - INFO - Epoch(train) [93][1100/1879] lr: 1.0000e-02 eta: 1 day, 12:49:12 time: 0.4260 data_time: 0.0142 memory: 17087 grad_norm: 5.2863 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5683 loss: 1.5683 2022/08/04 06:29:13 - mmengine - INFO - Epoch(train) [93][1120/1879] lr: 1.0000e-02 eta: 1 day, 12:49:05 time: 0.4689 data_time: 0.0225 memory: 17087 grad_norm: 5.2596 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3498 loss: 1.3498 2022/08/04 06:29:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 06:29:21 - mmengine - INFO - Epoch(train) [93][1140/1879] lr: 1.0000e-02 eta: 1 day, 12:48:56 time: 0.4261 data_time: 0.0154 memory: 17087 grad_norm: 5.2715 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4679 loss: 1.4679 2022/08/04 06:29:31 - mmengine - INFO - Epoch(train) [93][1160/1879] lr: 1.0000e-02 eta: 1 day, 12:48:48 time: 0.4646 data_time: 0.0217 memory: 17087 grad_norm: 5.3781 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4870 loss: 1.4870 2022/08/04 06:29:39 - mmengine - INFO - Epoch(train) [93][1180/1879] lr: 1.0000e-02 eta: 1 day, 12:48:39 time: 0.4259 data_time: 0.0147 memory: 17087 grad_norm: 5.2247 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4522 loss: 1.4522 2022/08/04 06:29:48 - mmengine - INFO - Epoch(train) [93][1200/1879] lr: 1.0000e-02 eta: 1 day, 12:48:32 time: 0.4669 data_time: 0.0238 memory: 17087 grad_norm: 5.3667 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5659 loss: 1.5659 2022/08/04 06:29:57 - mmengine - INFO - Epoch(train) [93][1220/1879] lr: 1.0000e-02 eta: 1 day, 12:48:23 time: 0.4256 data_time: 0.0138 memory: 17087 grad_norm: 5.2048 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4100 loss: 1.4100 2022/08/04 06:30:06 - mmengine - INFO - Epoch(train) [93][1240/1879] lr: 1.0000e-02 eta: 1 day, 12:48:15 time: 0.4310 data_time: 0.0208 memory: 17087 grad_norm: 5.3714 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2233 loss: 1.2233 2022/08/04 06:30:14 - mmengine - INFO - Epoch(train) [93][1260/1879] lr: 1.0000e-02 eta: 1 day, 12:48:06 time: 0.4336 data_time: 0.0158 memory: 17087 grad_norm: 5.3951 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4808 loss: 1.4808 2022/08/04 06:30:23 - mmengine - INFO - Epoch(train) [93][1280/1879] lr: 1.0000e-02 eta: 1 day, 12:47:57 time: 0.4291 data_time: 0.0162 memory: 17087 grad_norm: 5.3754 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3782 loss: 1.3782 2022/08/04 06:30:32 - mmengine - INFO - Epoch(train) [93][1300/1879] lr: 1.0000e-02 eta: 1 day, 12:47:50 time: 0.4566 data_time: 0.0153 memory: 17087 grad_norm: 5.3769 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.6837 loss: 1.6837 2022/08/04 06:30:41 - mmengine - INFO - Epoch(train) [93][1320/1879] lr: 1.0000e-02 eta: 1 day, 12:47:41 time: 0.4271 data_time: 0.0157 memory: 17087 grad_norm: 5.2462 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4482 loss: 1.4482 2022/08/04 06:30:50 - mmengine - INFO - Epoch(train) [93][1340/1879] lr: 1.0000e-02 eta: 1 day, 12:47:33 time: 0.4554 data_time: 0.0166 memory: 17087 grad_norm: 5.4046 top1_acc: 0.1875 top5_acc: 0.5000 loss_cls: 1.5698 loss: 1.5698 2022/08/04 06:30:58 - mmengine - INFO - Epoch(train) [93][1360/1879] lr: 1.0000e-02 eta: 1 day, 12:47:24 time: 0.4285 data_time: 0.0173 memory: 17087 grad_norm: 5.4058 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5271 loss: 1.5271 2022/08/04 06:31:07 - mmengine - INFO - Epoch(train) [93][1380/1879] lr: 1.0000e-02 eta: 1 day, 12:47:17 time: 0.4600 data_time: 0.0192 memory: 17087 grad_norm: 5.5171 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6677 loss: 1.6677 2022/08/04 06:31:16 - mmengine - INFO - Epoch(train) [93][1400/1879] lr: 1.0000e-02 eta: 1 day, 12:47:08 time: 0.4256 data_time: 0.0156 memory: 17087 grad_norm: 5.4195 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6456 loss: 1.6456 2022/08/04 06:31:25 - mmengine - INFO - Epoch(train) [93][1420/1879] lr: 1.0000e-02 eta: 1 day, 12:46:59 time: 0.4329 data_time: 0.0148 memory: 17087 grad_norm: 5.3056 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2487 loss: 1.2487 2022/08/04 06:31:33 - mmengine - INFO - Epoch(train) [93][1440/1879] lr: 1.0000e-02 eta: 1 day, 12:46:50 time: 0.4275 data_time: 0.0155 memory: 17087 grad_norm: 5.4710 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4511 loss: 1.4511 2022/08/04 06:31:42 - mmengine - INFO - Epoch(train) [93][1460/1879] lr: 1.0000e-02 eta: 1 day, 12:46:43 time: 0.4557 data_time: 0.0153 memory: 17087 grad_norm: 5.5465 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3286 loss: 1.3286 2022/08/04 06:31:51 - mmengine - INFO - Epoch(train) [93][1480/1879] lr: 1.0000e-02 eta: 1 day, 12:46:34 time: 0.4310 data_time: 0.0160 memory: 17087 grad_norm: 5.4465 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6719 loss: 1.6719 2022/08/04 06:32:00 - mmengine - INFO - Epoch(train) [93][1500/1879] lr: 1.0000e-02 eta: 1 day, 12:46:25 time: 0.4350 data_time: 0.0156 memory: 17087 grad_norm: 5.3741 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5917 loss: 1.5917 2022/08/04 06:32:08 - mmengine - INFO - Epoch(train) [93][1520/1879] lr: 1.0000e-02 eta: 1 day, 12:46:17 time: 0.4290 data_time: 0.0164 memory: 17087 grad_norm: 5.4473 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.3512 loss: 1.3512 2022/08/04 06:32:17 - mmengine - INFO - Epoch(train) [93][1540/1879] lr: 1.0000e-02 eta: 1 day, 12:46:08 time: 0.4300 data_time: 0.0140 memory: 17087 grad_norm: 5.3984 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4337 loss: 1.4337 2022/08/04 06:32:25 - mmengine - INFO - Epoch(train) [93][1560/1879] lr: 1.0000e-02 eta: 1 day, 12:45:59 time: 0.4264 data_time: 0.0152 memory: 17087 grad_norm: 5.2873 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6069 loss: 1.6069 2022/08/04 06:32:34 - mmengine - INFO - Epoch(train) [93][1580/1879] lr: 1.0000e-02 eta: 1 day, 12:45:50 time: 0.4281 data_time: 0.0146 memory: 17087 grad_norm: 5.5057 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3966 loss: 1.3966 2022/08/04 06:32:43 - mmengine - INFO - Epoch(train) [93][1600/1879] lr: 1.0000e-02 eta: 1 day, 12:45:42 time: 0.4496 data_time: 0.0160 memory: 17087 grad_norm: 5.4951 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4031 loss: 1.4031 2022/08/04 06:32:52 - mmengine - INFO - Epoch(train) [93][1620/1879] lr: 1.0000e-02 eta: 1 day, 12:45:34 time: 0.4294 data_time: 0.0155 memory: 17087 grad_norm: 5.3693 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5591 loss: 1.5591 2022/08/04 06:33:01 - mmengine - INFO - Epoch(train) [93][1640/1879] lr: 1.0000e-02 eta: 1 day, 12:45:26 time: 0.4573 data_time: 0.0171 memory: 17087 grad_norm: 5.5100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.8198 loss: 1.8198 2022/08/04 06:33:09 - mmengine - INFO - Epoch(train) [93][1660/1879] lr: 1.0000e-02 eta: 1 day, 12:45:17 time: 0.4283 data_time: 0.0150 memory: 17087 grad_norm: 5.1933 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.2985 loss: 1.2985 2022/08/04 06:33:18 - mmengine - INFO - Epoch(train) [93][1680/1879] lr: 1.0000e-02 eta: 1 day, 12:45:09 time: 0.4327 data_time: 0.0170 memory: 17087 grad_norm: 5.2677 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6080 loss: 1.6080 2022/08/04 06:33:27 - mmengine - INFO - Epoch(train) [93][1700/1879] lr: 1.0000e-02 eta: 1 day, 12:45:00 time: 0.4266 data_time: 0.0151 memory: 17087 grad_norm: 5.4177 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5262 loss: 1.5262 2022/08/04 06:33:36 - mmengine - INFO - Epoch(train) [93][1720/1879] lr: 1.0000e-02 eta: 1 day, 12:44:52 time: 0.4501 data_time: 0.0189 memory: 17087 grad_norm: 5.3059 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3580 loss: 1.3580 2022/08/04 06:33:44 - mmengine - INFO - Epoch(train) [93][1740/1879] lr: 1.0000e-02 eta: 1 day, 12:44:43 time: 0.4248 data_time: 0.0151 memory: 17087 grad_norm: 5.3399 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5105 loss: 1.5105 2022/08/04 06:33:53 - mmengine - INFO - Epoch(train) [93][1760/1879] lr: 1.0000e-02 eta: 1 day, 12:44:35 time: 0.4400 data_time: 0.0226 memory: 17087 grad_norm: 5.3533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7308 loss: 1.7308 2022/08/04 06:34:01 - mmengine - INFO - Epoch(train) [93][1780/1879] lr: 1.0000e-02 eta: 1 day, 12:44:26 time: 0.4251 data_time: 0.0136 memory: 17087 grad_norm: 5.2958 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.2893 loss: 1.2893 2022/08/04 06:34:11 - mmengine - INFO - Epoch(train) [93][1800/1879] lr: 1.0000e-02 eta: 1 day, 12:44:18 time: 0.4580 data_time: 0.0205 memory: 17087 grad_norm: 5.3045 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6208 loss: 1.6208 2022/08/04 06:34:19 - mmengine - INFO - Epoch(train) [93][1820/1879] lr: 1.0000e-02 eta: 1 day, 12:44:09 time: 0.4268 data_time: 0.0139 memory: 17087 grad_norm: 5.4961 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4400 loss: 1.4400 2022/08/04 06:34:28 - mmengine - INFO - Epoch(train) [93][1840/1879] lr: 1.0000e-02 eta: 1 day, 12:44:00 time: 0.4296 data_time: 0.0184 memory: 17087 grad_norm: 5.3753 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5919 loss: 1.5919 2022/08/04 06:34:36 - mmengine - INFO - Epoch(train) [93][1860/1879] lr: 1.0000e-02 eta: 1 day, 12:43:52 time: 0.4269 data_time: 0.0140 memory: 17087 grad_norm: 5.2705 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.7225 loss: 1.7225 2022/08/04 06:34:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 06:34:44 - mmengine - INFO - Epoch(train) [93][1879/1879] lr: 1.0000e-02 eta: 1 day, 12:43:52 time: 0.4122 data_time: 0.0140 memory: 17087 grad_norm: 5.1654 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.5332 loss: 1.5332 2022/08/04 06:34:55 - mmengine - INFO - Epoch(train) [94][20/1879] lr: 1.0000e-02 eta: 1 day, 12:43:24 time: 0.5472 data_time: 0.1036 memory: 17087 grad_norm: 5.2434 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4622 loss: 1.4622 2022/08/04 06:35:04 - mmengine - INFO - Epoch(train) [94][40/1879] lr: 1.0000e-02 eta: 1 day, 12:43:16 time: 0.4282 data_time: 0.0163 memory: 17087 grad_norm: 5.3196 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5144 loss: 1.5144 2022/08/04 06:35:12 - mmengine - INFO - Epoch(train) [94][60/1879] lr: 1.0000e-02 eta: 1 day, 12:43:07 time: 0.4318 data_time: 0.0148 memory: 17087 grad_norm: 5.2608 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4918 loss: 1.4918 2022/08/04 06:35:21 - mmengine - INFO - Epoch(train) [94][80/1879] lr: 1.0000e-02 eta: 1 day, 12:42:59 time: 0.4413 data_time: 0.0210 memory: 17087 grad_norm: 5.4000 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5171 loss: 1.5171 2022/08/04 06:35:30 - mmengine - INFO - Epoch(train) [94][100/1879] lr: 1.0000e-02 eta: 1 day, 12:42:50 time: 0.4335 data_time: 0.0167 memory: 17087 grad_norm: 5.3549 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5483 loss: 1.5483 2022/08/04 06:35:38 - mmengine - INFO - Epoch(train) [94][120/1879] lr: 1.0000e-02 eta: 1 day, 12:42:42 time: 0.4308 data_time: 0.0166 memory: 17087 grad_norm: 5.3497 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5096 loss: 1.5096 2022/08/04 06:35:47 - mmengine - INFO - Epoch(train) [94][140/1879] lr: 1.0000e-02 eta: 1 day, 12:42:33 time: 0.4299 data_time: 0.0150 memory: 17087 grad_norm: 5.3528 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5351 loss: 1.5351 2022/08/04 06:35:56 - mmengine - INFO - Epoch(train) [94][160/1879] lr: 1.0000e-02 eta: 1 day, 12:42:24 time: 0.4269 data_time: 0.0155 memory: 17087 grad_norm: 5.2600 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5621 loss: 1.5621 2022/08/04 06:36:05 - mmengine - INFO - Epoch(train) [94][180/1879] lr: 1.0000e-02 eta: 1 day, 12:42:16 time: 0.4434 data_time: 0.0158 memory: 17087 grad_norm: 5.3320 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3402 loss: 1.3402 2022/08/04 06:36:13 - mmengine - INFO - Epoch(train) [94][200/1879] lr: 1.0000e-02 eta: 1 day, 12:42:07 time: 0.4266 data_time: 0.0148 memory: 17087 grad_norm: 5.3223 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4333 loss: 1.4333 2022/08/04 06:36:22 - mmengine - INFO - Epoch(train) [94][220/1879] lr: 1.0000e-02 eta: 1 day, 12:41:59 time: 0.4398 data_time: 0.0164 memory: 17087 grad_norm: 5.3886 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4542 loss: 1.4542 2022/08/04 06:36:30 - mmengine - INFO - Epoch(train) [94][240/1879] lr: 1.0000e-02 eta: 1 day, 12:41:50 time: 0.4268 data_time: 0.0170 memory: 17087 grad_norm: 5.4655 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6326 loss: 1.6326 2022/08/04 06:36:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 06:36:39 - mmengine - INFO - Epoch(train) [94][260/1879] lr: 1.0000e-02 eta: 1 day, 12:41:42 time: 0.4455 data_time: 0.0152 memory: 17087 grad_norm: 5.3165 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5616 loss: 1.5616 2022/08/04 06:36:48 - mmengine - INFO - Epoch(train) [94][280/1879] lr: 1.0000e-02 eta: 1 day, 12:41:33 time: 0.4279 data_time: 0.0172 memory: 17087 grad_norm: 5.2722 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6796 loss: 1.6796 2022/08/04 06:36:56 - mmengine - INFO - Epoch(train) [94][300/1879] lr: 1.0000e-02 eta: 1 day, 12:41:24 time: 0.4244 data_time: 0.0150 memory: 17087 grad_norm: 5.3695 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.8596 loss: 1.8596 2022/08/04 06:37:05 - mmengine - INFO - Epoch(train) [94][320/1879] lr: 1.0000e-02 eta: 1 day, 12:41:15 time: 0.4334 data_time: 0.0176 memory: 17087 grad_norm: 5.3517 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.5858 loss: 1.5858 2022/08/04 06:37:14 - mmengine - INFO - Epoch(train) [94][340/1879] lr: 1.0000e-02 eta: 1 day, 12:41:07 time: 0.4274 data_time: 0.0154 memory: 17087 grad_norm: 5.2229 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3900 loss: 1.3900 2022/08/04 06:37:22 - mmengine - INFO - Epoch(train) [94][360/1879] lr: 1.0000e-02 eta: 1 day, 12:40:58 time: 0.4350 data_time: 0.0169 memory: 17087 grad_norm: 5.4304 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.7252 loss: 1.7252 2022/08/04 06:37:31 - mmengine - INFO - Epoch(train) [94][380/1879] lr: 1.0000e-02 eta: 1 day, 12:40:49 time: 0.4298 data_time: 0.0136 memory: 17087 grad_norm: 5.3123 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2928 loss: 1.2928 2022/08/04 06:37:40 - mmengine - INFO - Epoch(train) [94][400/1879] lr: 1.0000e-02 eta: 1 day, 12:40:42 time: 0.4581 data_time: 0.0171 memory: 17087 grad_norm: 5.3960 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3245 loss: 1.3245 2022/08/04 06:37:49 - mmengine - INFO - Epoch(train) [94][420/1879] lr: 1.0000e-02 eta: 1 day, 12:40:33 time: 0.4265 data_time: 0.0147 memory: 17087 grad_norm: 5.4010 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6084 loss: 1.6084 2022/08/04 06:37:57 - mmengine - INFO - Epoch(train) [94][440/1879] lr: 1.0000e-02 eta: 1 day, 12:40:25 time: 0.4396 data_time: 0.0158 memory: 17087 grad_norm: 5.2658 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4061 loss: 1.4061 2022/08/04 06:38:06 - mmengine - INFO - Epoch(train) [94][460/1879] lr: 1.0000e-02 eta: 1 day, 12:40:16 time: 0.4302 data_time: 0.0145 memory: 17087 grad_norm: 5.5887 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.4629 loss: 1.4629 2022/08/04 06:38:15 - mmengine - INFO - Epoch(train) [94][480/1879] lr: 1.0000e-02 eta: 1 day, 12:40:07 time: 0.4258 data_time: 0.0150 memory: 17087 grad_norm: 5.4540 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5250 loss: 1.5250 2022/08/04 06:38:24 - mmengine - INFO - Epoch(train) [94][500/1879] lr: 1.0000e-02 eta: 1 day, 12:39:59 time: 0.4547 data_time: 0.0162 memory: 17087 grad_norm: 5.3596 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3648 loss: 1.3648 2022/08/04 06:38:32 - mmengine - INFO - Epoch(train) [94][520/1879] lr: 1.0000e-02 eta: 1 day, 12:39:51 time: 0.4284 data_time: 0.0185 memory: 17087 grad_norm: 5.4417 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5605 loss: 1.5605 2022/08/04 06:38:41 - mmengine - INFO - Epoch(train) [94][540/1879] lr: 1.0000e-02 eta: 1 day, 12:39:42 time: 0.4327 data_time: 0.0171 memory: 17087 grad_norm: 5.4718 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5466 loss: 1.5466 2022/08/04 06:38:49 - mmengine - INFO - Epoch(train) [94][560/1879] lr: 1.0000e-02 eta: 1 day, 12:39:33 time: 0.4260 data_time: 0.0164 memory: 17087 grad_norm: 5.4737 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4238 loss: 1.4238 2022/08/04 06:38:59 - mmengine - INFO - Epoch(train) [94][580/1879] lr: 1.0000e-02 eta: 1 day, 12:39:25 time: 0.4513 data_time: 0.0157 memory: 17087 grad_norm: 5.3307 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3305 loss: 1.3305 2022/08/04 06:39:07 - mmengine - INFO - Epoch(train) [94][600/1879] lr: 1.0000e-02 eta: 1 day, 12:39:16 time: 0.4279 data_time: 0.0164 memory: 17087 grad_norm: 5.3661 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4752 loss: 1.4752 2022/08/04 06:39:16 - mmengine - INFO - Epoch(train) [94][620/1879] lr: 1.0000e-02 eta: 1 day, 12:39:07 time: 0.4239 data_time: 0.0124 memory: 17087 grad_norm: 5.4375 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3848 loss: 1.3848 2022/08/04 06:39:24 - mmengine - INFO - Epoch(train) [94][640/1879] lr: 1.0000e-02 eta: 1 day, 12:38:59 time: 0.4333 data_time: 0.0191 memory: 17087 grad_norm: 5.2340 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3193 loss: 1.3193 2022/08/04 06:39:33 - mmengine - INFO - Epoch(train) [94][660/1879] lr: 1.0000e-02 eta: 1 day, 12:38:50 time: 0.4283 data_time: 0.0138 memory: 17087 grad_norm: 5.3071 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4391 loss: 1.4391 2022/08/04 06:39:42 - mmengine - INFO - Epoch(train) [94][680/1879] lr: 1.0000e-02 eta: 1 day, 12:38:42 time: 0.4500 data_time: 0.0177 memory: 17087 grad_norm: 5.3788 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5584 loss: 1.5584 2022/08/04 06:39:50 - mmengine - INFO - Epoch(train) [94][700/1879] lr: 1.0000e-02 eta: 1 day, 12:38:33 time: 0.4263 data_time: 0.0150 memory: 17087 grad_norm: 5.5485 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.6265 loss: 1.6265 2022/08/04 06:39:59 - mmengine - INFO - Epoch(train) [94][720/1879] lr: 1.0000e-02 eta: 1 day, 12:38:25 time: 0.4534 data_time: 0.0173 memory: 17087 grad_norm: 5.4529 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4402 loss: 1.4402 2022/08/04 06:40:08 - mmengine - INFO - Epoch(train) [94][740/1879] lr: 1.0000e-02 eta: 1 day, 12:38:17 time: 0.4384 data_time: 0.0191 memory: 17087 grad_norm: 5.5206 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.6062 loss: 1.6062 2022/08/04 06:40:17 - mmengine - INFO - Epoch(train) [94][760/1879] lr: 1.0000e-02 eta: 1 day, 12:38:08 time: 0.4271 data_time: 0.0175 memory: 17087 grad_norm: 5.4370 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.6203 loss: 1.6203 2022/08/04 06:40:25 - mmengine - INFO - Epoch(train) [94][780/1879] lr: 1.0000e-02 eta: 1 day, 12:37:59 time: 0.4267 data_time: 0.0145 memory: 17087 grad_norm: 5.2594 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3816 loss: 1.3816 2022/08/04 06:40:35 - mmengine - INFO - Epoch(train) [94][800/1879] lr: 1.0000e-02 eta: 1 day, 12:37:52 time: 0.4598 data_time: 0.0152 memory: 17087 grad_norm: 5.2694 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4962 loss: 1.4962 2022/08/04 06:40:43 - mmengine - INFO - Epoch(train) [94][820/1879] lr: 1.0000e-02 eta: 1 day, 12:37:43 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 5.4166 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6843 loss: 1.6843 2022/08/04 06:40:52 - mmengine - INFO - Epoch(train) [94][840/1879] lr: 1.0000e-02 eta: 1 day, 12:37:35 time: 0.4467 data_time: 0.0155 memory: 17087 grad_norm: 5.3102 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3611 loss: 1.3611 2022/08/04 06:41:01 - mmengine - INFO - Epoch(train) [94][860/1879] lr: 1.0000e-02 eta: 1 day, 12:37:26 time: 0.4243 data_time: 0.0128 memory: 17087 grad_norm: 5.3048 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4881 loss: 1.4881 2022/08/04 06:41:09 - mmengine - INFO - Epoch(train) [94][880/1879] lr: 1.0000e-02 eta: 1 day, 12:37:18 time: 0.4372 data_time: 0.0167 memory: 17087 grad_norm: 5.2528 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3086 loss: 1.3086 2022/08/04 06:41:18 - mmengine - INFO - Epoch(train) [94][900/1879] lr: 1.0000e-02 eta: 1 day, 12:37:09 time: 0.4255 data_time: 0.0133 memory: 17087 grad_norm: 5.3872 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3319 loss: 1.3319 2022/08/04 06:41:26 - mmengine - INFO - Epoch(train) [94][920/1879] lr: 1.0000e-02 eta: 1 day, 12:37:00 time: 0.4263 data_time: 0.0159 memory: 17087 grad_norm: 5.3548 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5032 loss: 1.5032 2022/08/04 06:41:35 - mmengine - INFO - Epoch(train) [94][940/1879] lr: 1.0000e-02 eta: 1 day, 12:36:51 time: 0.4382 data_time: 0.0144 memory: 17087 grad_norm: 5.3205 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.4180 loss: 1.4180 2022/08/04 06:41:44 - mmengine - INFO - Epoch(train) [94][960/1879] lr: 1.0000e-02 eta: 1 day, 12:36:43 time: 0.4271 data_time: 0.0153 memory: 17087 grad_norm: 5.3237 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4556 loss: 1.4556 2022/08/04 06:41:52 - mmengine - INFO - Epoch(train) [94][980/1879] lr: 1.0000e-02 eta: 1 day, 12:36:34 time: 0.4340 data_time: 0.0161 memory: 17087 grad_norm: 5.4363 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4787 loss: 1.4787 2022/08/04 06:42:01 - mmengine - INFO - Epoch(train) [94][1000/1879] lr: 1.0000e-02 eta: 1 day, 12:36:25 time: 0.4271 data_time: 0.0155 memory: 17087 grad_norm: 5.2111 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3708 loss: 1.3708 2022/08/04 06:42:10 - mmengine - INFO - Epoch(train) [94][1020/1879] lr: 1.0000e-02 eta: 1 day, 12:36:17 time: 0.4479 data_time: 0.0173 memory: 17087 grad_norm: 5.4036 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4077 loss: 1.4077 2022/08/04 06:42:19 - mmengine - INFO - Epoch(train) [94][1040/1879] lr: 1.0000e-02 eta: 1 day, 12:36:09 time: 0.4314 data_time: 0.0201 memory: 17087 grad_norm: 5.2382 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.7872 loss: 1.7872 2022/08/04 06:42:27 - mmengine - INFO - Epoch(train) [94][1060/1879] lr: 1.0000e-02 eta: 1 day, 12:36:00 time: 0.4269 data_time: 0.0170 memory: 17087 grad_norm: 5.3126 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4453 loss: 1.4453 2022/08/04 06:42:36 - mmengine - INFO - Epoch(train) [94][1080/1879] lr: 1.0000e-02 eta: 1 day, 12:35:51 time: 0.4292 data_time: 0.0150 memory: 17087 grad_norm: 5.3313 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4282 loss: 1.4282 2022/08/04 06:42:44 - mmengine - INFO - Epoch(train) [94][1100/1879] lr: 1.0000e-02 eta: 1 day, 12:35:42 time: 0.4327 data_time: 0.0153 memory: 17087 grad_norm: 5.5017 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5608 loss: 1.5608 2022/08/04 06:42:53 - mmengine - INFO - Epoch(train) [94][1120/1879] lr: 1.0000e-02 eta: 1 day, 12:35:34 time: 0.4326 data_time: 0.0164 memory: 17087 grad_norm: 5.4548 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.3495 loss: 1.3495 2022/08/04 06:43:02 - mmengine - INFO - Epoch(train) [94][1140/1879] lr: 1.0000e-02 eta: 1 day, 12:35:26 time: 0.4445 data_time: 0.0127 memory: 17087 grad_norm: 5.5031 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6456 loss: 1.6456 2022/08/04 06:43:11 - mmengine - INFO - Epoch(train) [94][1160/1879] lr: 1.0000e-02 eta: 1 day, 12:35:17 time: 0.4291 data_time: 0.0163 memory: 17087 grad_norm: 5.3113 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4555 loss: 1.4555 2022/08/04 06:43:20 - mmengine - INFO - Epoch(train) [94][1180/1879] lr: 1.0000e-02 eta: 1 day, 12:35:09 time: 0.4533 data_time: 0.0150 memory: 17087 grad_norm: 5.3589 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.7548 loss: 1.7548 2022/08/04 06:43:28 - mmengine - INFO - Epoch(train) [94][1200/1879] lr: 1.0000e-02 eta: 1 day, 12:35:00 time: 0.4325 data_time: 0.0203 memory: 17087 grad_norm: 5.3432 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.3684 loss: 1.3684 2022/08/04 06:43:37 - mmengine - INFO - Epoch(train) [94][1220/1879] lr: 1.0000e-02 eta: 1 day, 12:34:53 time: 0.4520 data_time: 0.0146 memory: 17087 grad_norm: 5.4729 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4507 loss: 1.4507 2022/08/04 06:43:46 - mmengine - INFO - Epoch(train) [94][1240/1879] lr: 1.0000e-02 eta: 1 day, 12:34:44 time: 0.4278 data_time: 0.0159 memory: 17087 grad_norm: 5.4643 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4068 loss: 1.4068 2022/08/04 06:43:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 06:43:55 - mmengine - INFO - Epoch(train) [94][1260/1879] lr: 1.0000e-02 eta: 1 day, 12:34:36 time: 0.4468 data_time: 0.0162 memory: 17087 grad_norm: 5.3169 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2501 loss: 1.2501 2022/08/04 06:44:03 - mmengine - INFO - Epoch(train) [94][1280/1879] lr: 1.0000e-02 eta: 1 day, 12:34:27 time: 0.4286 data_time: 0.0157 memory: 17087 grad_norm: 5.4682 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6415 loss: 1.6415 2022/08/04 06:44:13 - mmengine - INFO - Epoch(train) [94][1300/1879] lr: 1.0000e-02 eta: 1 day, 12:34:19 time: 0.4621 data_time: 0.0168 memory: 17087 grad_norm: 5.2706 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3833 loss: 1.3833 2022/08/04 06:44:21 - mmengine - INFO - Epoch(train) [94][1320/1879] lr: 1.0000e-02 eta: 1 day, 12:34:11 time: 0.4282 data_time: 0.0159 memory: 17087 grad_norm: 5.2860 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.7153 loss: 1.7153 2022/08/04 06:44:30 - mmengine - INFO - Epoch(train) [94][1340/1879] lr: 1.0000e-02 eta: 1 day, 12:34:02 time: 0.4428 data_time: 0.0161 memory: 17087 grad_norm: 5.4081 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7044 loss: 1.7044 2022/08/04 06:44:39 - mmengine - INFO - Epoch(train) [94][1360/1879] lr: 1.0000e-02 eta: 1 day, 12:33:54 time: 0.4312 data_time: 0.0187 memory: 17087 grad_norm: 5.3432 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4900 loss: 1.4900 2022/08/04 06:44:47 - mmengine - INFO - Epoch(train) [94][1380/1879] lr: 1.0000e-02 eta: 1 day, 12:33:45 time: 0.4268 data_time: 0.0150 memory: 17087 grad_norm: 5.2610 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4813 loss: 1.4813 2022/08/04 06:44:56 - mmengine - INFO - Epoch(train) [94][1400/1879] lr: 1.0000e-02 eta: 1 day, 12:33:36 time: 0.4285 data_time: 0.0172 memory: 17087 grad_norm: 5.3181 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3546 loss: 1.3546 2022/08/04 06:45:05 - mmengine - INFO - Epoch(train) [94][1420/1879] lr: 1.0000e-02 eta: 1 day, 12:33:28 time: 0.4381 data_time: 0.0158 memory: 17087 grad_norm: 5.3617 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5344 loss: 1.5344 2022/08/04 06:45:13 - mmengine - INFO - Epoch(train) [94][1440/1879] lr: 1.0000e-02 eta: 1 day, 12:33:19 time: 0.4362 data_time: 0.0211 memory: 17087 grad_norm: 5.3435 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4873 loss: 1.4873 2022/08/04 06:45:23 - mmengine - INFO - Epoch(train) [94][1460/1879] lr: 1.0000e-02 eta: 1 day, 12:33:12 time: 0.4704 data_time: 0.0169 memory: 17087 grad_norm: 5.3492 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5663 loss: 1.5663 2022/08/04 06:45:31 - mmengine - INFO - Epoch(train) [94][1480/1879] lr: 1.0000e-02 eta: 1 day, 12:33:03 time: 0.4299 data_time: 0.0195 memory: 17087 grad_norm: 5.2467 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3908 loss: 1.3908 2022/08/04 06:45:40 - mmengine - INFO - Epoch(train) [94][1500/1879] lr: 1.0000e-02 eta: 1 day, 12:32:55 time: 0.4531 data_time: 0.0155 memory: 17087 grad_norm: 5.3421 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4404 loss: 1.4404 2022/08/04 06:45:49 - mmengine - INFO - Epoch(train) [94][1520/1879] lr: 1.0000e-02 eta: 1 day, 12:32:47 time: 0.4313 data_time: 0.0226 memory: 17087 grad_norm: 5.2976 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5721 loss: 1.5721 2022/08/04 06:45:58 - mmengine - INFO - Epoch(train) [94][1540/1879] lr: 1.0000e-02 eta: 1 day, 12:32:38 time: 0.4276 data_time: 0.0158 memory: 17087 grad_norm: 5.3329 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4919 loss: 1.4919 2022/08/04 06:46:06 - mmengine - INFO - Epoch(train) [94][1560/1879] lr: 1.0000e-02 eta: 1 day, 12:32:29 time: 0.4301 data_time: 0.0188 memory: 17087 grad_norm: 5.4379 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3735 loss: 1.3735 2022/08/04 06:46:15 - mmengine - INFO - Epoch(train) [94][1580/1879] lr: 1.0000e-02 eta: 1 day, 12:32:20 time: 0.4276 data_time: 0.0135 memory: 17087 grad_norm: 5.2895 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5093 loss: 1.5093 2022/08/04 06:46:24 - mmengine - INFO - Epoch(train) [94][1600/1879] lr: 1.0000e-02 eta: 1 day, 12:32:12 time: 0.4400 data_time: 0.0170 memory: 17087 grad_norm: 5.3824 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6171 loss: 1.6171 2022/08/04 06:46:32 - mmengine - INFO - Epoch(train) [94][1620/1879] lr: 1.0000e-02 eta: 1 day, 12:32:03 time: 0.4247 data_time: 0.0143 memory: 17087 grad_norm: 5.6528 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5866 loss: 1.5866 2022/08/04 06:46:41 - mmengine - INFO - Epoch(train) [94][1640/1879] lr: 1.0000e-02 eta: 1 day, 12:31:55 time: 0.4348 data_time: 0.0162 memory: 17087 grad_norm: 5.4384 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.7354 loss: 1.7354 2022/08/04 06:46:49 - mmengine - INFO - Epoch(train) [94][1660/1879] lr: 1.0000e-02 eta: 1 day, 12:31:46 time: 0.4270 data_time: 0.0151 memory: 17087 grad_norm: 5.3032 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4589 loss: 1.4589 2022/08/04 06:46:58 - mmengine - INFO - Epoch(train) [94][1680/1879] lr: 1.0000e-02 eta: 1 day, 12:31:37 time: 0.4295 data_time: 0.0158 memory: 17087 grad_norm: 5.1908 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3122 loss: 1.3122 2022/08/04 06:47:07 - mmengine - INFO - Epoch(train) [94][1700/1879] lr: 1.0000e-02 eta: 1 day, 12:31:29 time: 0.4328 data_time: 0.0148 memory: 17087 grad_norm: 5.2658 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5566 loss: 1.5566 2022/08/04 06:47:15 - mmengine - INFO - Epoch(train) [94][1720/1879] lr: 1.0000e-02 eta: 1 day, 12:31:20 time: 0.4272 data_time: 0.0163 memory: 17087 grad_norm: 5.4894 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5779 loss: 1.5779 2022/08/04 06:47:24 - mmengine - INFO - Epoch(train) [94][1740/1879] lr: 1.0000e-02 eta: 1 day, 12:31:11 time: 0.4380 data_time: 0.0165 memory: 17087 grad_norm: 5.2642 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4384 loss: 1.4384 2022/08/04 06:47:33 - mmengine - INFO - Epoch(train) [94][1760/1879] lr: 1.0000e-02 eta: 1 day, 12:31:03 time: 0.4273 data_time: 0.0165 memory: 17087 grad_norm: 5.4284 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5413 loss: 1.5413 2022/08/04 06:47:41 - mmengine - INFO - Epoch(train) [94][1780/1879] lr: 1.0000e-02 eta: 1 day, 12:30:54 time: 0.4394 data_time: 0.0161 memory: 17087 grad_norm: 5.3765 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.6915 loss: 1.6915 2022/08/04 06:47:50 - mmengine - INFO - Epoch(train) [94][1800/1879] lr: 1.0000e-02 eta: 1 day, 12:30:45 time: 0.4268 data_time: 0.0178 memory: 17087 grad_norm: 5.5117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5422 loss: 1.5422 2022/08/04 06:47:59 - mmengine - INFO - Epoch(train) [94][1820/1879] lr: 1.0000e-02 eta: 1 day, 12:30:37 time: 0.4442 data_time: 0.0163 memory: 17087 grad_norm: 5.3794 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5133 loss: 1.5133 2022/08/04 06:48:07 - mmengine - INFO - Epoch(train) [94][1840/1879] lr: 1.0000e-02 eta: 1 day, 12:30:28 time: 0.4276 data_time: 0.0163 memory: 17087 grad_norm: 5.2334 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5395 loss: 1.5395 2022/08/04 06:48:16 - mmengine - INFO - Epoch(train) [94][1860/1879] lr: 1.0000e-02 eta: 1 day, 12:30:20 time: 0.4249 data_time: 0.0151 memory: 17087 grad_norm: 5.2512 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5496 loss: 1.5496 2022/08/04 06:48:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 06:48:24 - mmengine - INFO - Epoch(train) [94][1879/1879] lr: 1.0000e-02 eta: 1 day, 12:30:20 time: 0.4416 data_time: 0.0150 memory: 17087 grad_norm: 5.4698 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.5128 loss: 1.5128 2022/08/04 06:48:35 - mmengine - INFO - Epoch(train) [95][20/1879] lr: 1.0000e-02 eta: 1 day, 12:29:53 time: 0.5528 data_time: 0.1125 memory: 17087 grad_norm: 5.2966 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3403 loss: 1.3403 2022/08/04 06:48:45 - mmengine - INFO - Epoch(train) [95][40/1879] lr: 1.0000e-02 eta: 1 day, 12:29:45 time: 0.4640 data_time: 0.0170 memory: 17087 grad_norm: 5.3391 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4718 loss: 1.4718 2022/08/04 06:48:53 - mmengine - INFO - Epoch(train) [95][60/1879] lr: 1.0000e-02 eta: 1 day, 12:29:37 time: 0.4329 data_time: 0.0200 memory: 17087 grad_norm: 5.2759 top1_acc: 0.3125 top5_acc: 0.5625 loss_cls: 1.6021 loss: 1.6021 2022/08/04 06:49:02 - mmengine - INFO - Epoch(train) [95][80/1879] lr: 1.0000e-02 eta: 1 day, 12:29:28 time: 0.4272 data_time: 0.0157 memory: 17087 grad_norm: 5.6116 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4801 loss: 1.4801 2022/08/04 06:49:11 - mmengine - INFO - Epoch(train) [95][100/1879] lr: 1.0000e-02 eta: 1 day, 12:29:19 time: 0.4346 data_time: 0.0176 memory: 17087 grad_norm: 5.3157 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3625 loss: 1.3625 2022/08/04 06:49:19 - mmengine - INFO - Epoch(train) [95][120/1879] lr: 1.0000e-02 eta: 1 day, 12:29:11 time: 0.4319 data_time: 0.0156 memory: 17087 grad_norm: 5.2445 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4429 loss: 1.4429 2022/08/04 06:49:28 - mmengine - INFO - Epoch(train) [95][140/1879] lr: 1.0000e-02 eta: 1 day, 12:29:02 time: 0.4268 data_time: 0.0163 memory: 17087 grad_norm: 5.2881 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.5179 loss: 1.5179 2022/08/04 06:49:37 - mmengine - INFO - Epoch(train) [95][160/1879] lr: 1.0000e-02 eta: 1 day, 12:28:54 time: 0.4389 data_time: 0.0182 memory: 17087 grad_norm: 5.1365 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5323 loss: 1.5323 2022/08/04 06:49:45 - mmengine - INFO - Epoch(train) [95][180/1879] lr: 1.0000e-02 eta: 1 day, 12:28:45 time: 0.4273 data_time: 0.0159 memory: 17087 grad_norm: 5.2697 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5325 loss: 1.5325 2022/08/04 06:49:54 - mmengine - INFO - Epoch(train) [95][200/1879] lr: 1.0000e-02 eta: 1 day, 12:28:36 time: 0.4370 data_time: 0.0212 memory: 17087 grad_norm: 5.4235 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5286 loss: 1.5286 2022/08/04 06:50:02 - mmengine - INFO - Epoch(train) [95][220/1879] lr: 1.0000e-02 eta: 1 day, 12:28:28 time: 0.4264 data_time: 0.0156 memory: 17087 grad_norm: 5.3868 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4754 loss: 1.4754 2022/08/04 06:50:12 - mmengine - INFO - Epoch(train) [95][240/1879] lr: 1.0000e-02 eta: 1 day, 12:28:20 time: 0.4692 data_time: 0.0163 memory: 17087 grad_norm: 5.4224 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5331 loss: 1.5331 2022/08/04 06:50:21 - mmengine - INFO - Epoch(train) [95][260/1879] lr: 1.0000e-02 eta: 1 day, 12:28:12 time: 0.4322 data_time: 0.0206 memory: 17087 grad_norm: 5.4022 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5398 loss: 1.5398 2022/08/04 06:50:30 - mmengine - INFO - Epoch(train) [95][280/1879] lr: 1.0000e-02 eta: 1 day, 12:28:04 time: 0.4726 data_time: 0.0163 memory: 17087 grad_norm: 5.3796 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3785 loss: 1.3785 2022/08/04 06:50:39 - mmengine - INFO - Epoch(train) [95][300/1879] lr: 1.0000e-02 eta: 1 day, 12:27:55 time: 0.4255 data_time: 0.0150 memory: 17087 grad_norm: 5.2246 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3708 loss: 1.3708 2022/08/04 06:50:47 - mmengine - INFO - Epoch(train) [95][320/1879] lr: 1.0000e-02 eta: 1 day, 12:27:47 time: 0.4303 data_time: 0.0167 memory: 17087 grad_norm: 5.4468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4863 loss: 1.4863 2022/08/04 06:50:56 - mmengine - INFO - Epoch(train) [95][340/1879] lr: 1.0000e-02 eta: 1 day, 12:27:38 time: 0.4312 data_time: 0.0160 memory: 17087 grad_norm: 5.2787 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4912 loss: 1.4912 2022/08/04 06:51:04 - mmengine - INFO - Epoch(train) [95][360/1879] lr: 1.0000e-02 eta: 1 day, 12:27:29 time: 0.4279 data_time: 0.0157 memory: 17087 grad_norm: 5.3862 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5042 loss: 1.5042 2022/08/04 06:51:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 06:51:13 - mmengine - INFO - Epoch(train) [95][380/1879] lr: 1.0000e-02 eta: 1 day, 12:27:21 time: 0.4346 data_time: 0.0153 memory: 17087 grad_norm: 5.4151 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5454 loss: 1.5454 2022/08/04 06:51:22 - mmengine - INFO - Epoch(train) [95][400/1879] lr: 1.0000e-02 eta: 1 day, 12:27:12 time: 0.4300 data_time: 0.0167 memory: 17087 grad_norm: 5.3375 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6976 loss: 1.6976 2022/08/04 06:51:30 - mmengine - INFO - Epoch(train) [95][420/1879] lr: 1.0000e-02 eta: 1 day, 12:27:03 time: 0.4290 data_time: 0.0155 memory: 17087 grad_norm: 5.2919 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5140 loss: 1.5140 2022/08/04 06:51:39 - mmengine - INFO - Epoch(train) [95][440/1879] lr: 1.0000e-02 eta: 1 day, 12:26:55 time: 0.4323 data_time: 0.0175 memory: 17087 grad_norm: 5.4491 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5314 loss: 1.5314 2022/08/04 06:51:47 - mmengine - INFO - Epoch(train) [95][460/1879] lr: 1.0000e-02 eta: 1 day, 12:26:46 time: 0.4242 data_time: 0.0148 memory: 17087 grad_norm: 5.4739 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4654 loss: 1.4654 2022/08/04 06:51:56 - mmengine - INFO - Epoch(train) [95][480/1879] lr: 1.0000e-02 eta: 1 day, 12:26:37 time: 0.4264 data_time: 0.0146 memory: 17087 grad_norm: 5.5102 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5992 loss: 1.5992 2022/08/04 06:52:05 - mmengine - INFO - Epoch(train) [95][500/1879] lr: 1.0000e-02 eta: 1 day, 12:26:29 time: 0.4339 data_time: 0.0162 memory: 17087 grad_norm: 5.3298 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5337 loss: 1.5337 2022/08/04 06:52:13 - mmengine - INFO - Epoch(train) [95][520/1879] lr: 1.0000e-02 eta: 1 day, 12:26:20 time: 0.4280 data_time: 0.0195 memory: 17087 grad_norm: 5.2366 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5662 loss: 1.5662 2022/08/04 06:52:23 - mmengine - INFO - Epoch(train) [95][540/1879] lr: 1.0000e-02 eta: 1 day, 12:26:13 time: 0.4734 data_time: 0.0219 memory: 17087 grad_norm: 5.4099 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.6048 loss: 1.6048 2022/08/04 06:52:31 - mmengine - INFO - Epoch(train) [95][560/1879] lr: 1.0000e-02 eta: 1 day, 12:26:04 time: 0.4276 data_time: 0.0159 memory: 17087 grad_norm: 5.5482 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.4289 loss: 1.4289 2022/08/04 06:52:40 - mmengine - INFO - Epoch(train) [95][580/1879] lr: 1.0000e-02 eta: 1 day, 12:25:56 time: 0.4535 data_time: 0.0212 memory: 17087 grad_norm: 5.2922 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.4398 loss: 1.4398 2022/08/04 06:52:49 - mmengine - INFO - Epoch(train) [95][600/1879] lr: 1.0000e-02 eta: 1 day, 12:25:47 time: 0.4358 data_time: 0.0178 memory: 17087 grad_norm: 5.5416 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5179 loss: 1.5179 2022/08/04 06:52:58 - mmengine - INFO - Epoch(train) [95][620/1879] lr: 1.0000e-02 eta: 1 day, 12:25:39 time: 0.4273 data_time: 0.0136 memory: 17087 grad_norm: 5.3610 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4275 loss: 1.4275 2022/08/04 06:53:06 - mmengine - INFO - Epoch(train) [95][640/1879] lr: 1.0000e-02 eta: 1 day, 12:25:30 time: 0.4277 data_time: 0.0165 memory: 17087 grad_norm: 5.4684 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6564 loss: 1.6564 2022/08/04 06:53:15 - mmengine - INFO - Epoch(train) [95][660/1879] lr: 1.0000e-02 eta: 1 day, 12:25:21 time: 0.4333 data_time: 0.0156 memory: 17087 grad_norm: 5.3818 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5557 loss: 1.5557 2022/08/04 06:53:23 - mmengine - INFO - Epoch(train) [95][680/1879] lr: 1.0000e-02 eta: 1 day, 12:25:13 time: 0.4267 data_time: 0.0155 memory: 17087 grad_norm: 5.4284 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6777 loss: 1.6777 2022/08/04 06:53:33 - mmengine - INFO - Epoch(train) [95][700/1879] lr: 1.0000e-02 eta: 1 day, 12:25:05 time: 0.4591 data_time: 0.0158 memory: 17087 grad_norm: 5.3569 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4655 loss: 1.4655 2022/08/04 06:53:41 - mmengine - INFO - Epoch(train) [95][720/1879] lr: 1.0000e-02 eta: 1 day, 12:24:56 time: 0.4381 data_time: 0.0162 memory: 17087 grad_norm: 5.2957 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.3321 loss: 1.3321 2022/08/04 06:53:50 - mmengine - INFO - Epoch(train) [95][740/1879] lr: 1.0000e-02 eta: 1 day, 12:24:48 time: 0.4389 data_time: 0.0183 memory: 17087 grad_norm: 5.2815 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.5122 loss: 1.5122 2022/08/04 06:53:59 - mmengine - INFO - Epoch(train) [95][760/1879] lr: 1.0000e-02 eta: 1 day, 12:24:39 time: 0.4285 data_time: 0.0161 memory: 17087 grad_norm: 5.2079 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.4487 loss: 1.4487 2022/08/04 06:54:07 - mmengine - INFO - Epoch(train) [95][780/1879] lr: 1.0000e-02 eta: 1 day, 12:24:30 time: 0.4256 data_time: 0.0136 memory: 17087 grad_norm: 5.3925 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4027 loss: 1.4027 2022/08/04 06:54:16 - mmengine - INFO - Epoch(train) [95][800/1879] lr: 1.0000e-02 eta: 1 day, 12:24:23 time: 0.4596 data_time: 0.0167 memory: 17087 grad_norm: 5.3336 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3653 loss: 1.3653 2022/08/04 06:54:25 - mmengine - INFO - Epoch(train) [95][820/1879] lr: 1.0000e-02 eta: 1 day, 12:24:14 time: 0.4264 data_time: 0.0141 memory: 17087 grad_norm: 5.3212 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4672 loss: 1.4672 2022/08/04 06:54:34 - mmengine - INFO - Epoch(train) [95][840/1879] lr: 1.0000e-02 eta: 1 day, 12:24:06 time: 0.4534 data_time: 0.0181 memory: 17087 grad_norm: 5.5849 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4529 loss: 1.4529 2022/08/04 06:54:43 - mmengine - INFO - Epoch(train) [95][860/1879] lr: 1.0000e-02 eta: 1 day, 12:23:57 time: 0.4263 data_time: 0.0147 memory: 17087 grad_norm: 5.4919 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4433 loss: 1.4433 2022/08/04 06:54:52 - mmengine - INFO - Epoch(train) [95][880/1879] lr: 1.0000e-02 eta: 1 day, 12:23:49 time: 0.4483 data_time: 0.0174 memory: 17087 grad_norm: 5.4965 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5823 loss: 1.5823 2022/08/04 06:55:00 - mmengine - INFO - Epoch(train) [95][900/1879] lr: 1.0000e-02 eta: 1 day, 12:23:40 time: 0.4260 data_time: 0.0136 memory: 17087 grad_norm: 5.1714 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3434 loss: 1.3434 2022/08/04 06:55:09 - mmengine - INFO - Epoch(train) [95][920/1879] lr: 1.0000e-02 eta: 1 day, 12:23:32 time: 0.4357 data_time: 0.0153 memory: 17087 grad_norm: 5.2730 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4618 loss: 1.4618 2022/08/04 06:55:18 - mmengine - INFO - Epoch(train) [95][940/1879] lr: 1.0000e-02 eta: 1 day, 12:23:24 time: 0.4570 data_time: 0.0166 memory: 17087 grad_norm: 5.3996 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4019 loss: 1.4019 2022/08/04 06:55:27 - mmengine - INFO - Epoch(train) [95][960/1879] lr: 1.0000e-02 eta: 1 day, 12:23:15 time: 0.4276 data_time: 0.0150 memory: 17087 grad_norm: 5.2204 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4290 loss: 1.4290 2022/08/04 06:55:35 - mmengine - INFO - Epoch(train) [95][980/1879] lr: 1.0000e-02 eta: 1 day, 12:23:07 time: 0.4418 data_time: 0.0160 memory: 17087 grad_norm: 5.4085 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.5025 loss: 1.5025 2022/08/04 06:55:44 - mmengine - INFO - Epoch(train) [95][1000/1879] lr: 1.0000e-02 eta: 1 day, 12:22:58 time: 0.4273 data_time: 0.0165 memory: 17087 grad_norm: 5.3011 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3820 loss: 1.3820 2022/08/04 06:55:53 - mmengine - INFO - Epoch(train) [95][1020/1879] lr: 1.0000e-02 eta: 1 day, 12:22:51 time: 0.4626 data_time: 0.0144 memory: 17087 grad_norm: 5.4145 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6303 loss: 1.6303 2022/08/04 06:56:02 - mmengine - INFO - Epoch(train) [95][1040/1879] lr: 1.0000e-02 eta: 1 day, 12:22:42 time: 0.4302 data_time: 0.0209 memory: 17087 grad_norm: 5.4896 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5429 loss: 1.5429 2022/08/04 06:56:11 - mmengine - INFO - Epoch(train) [95][1060/1879] lr: 1.0000e-02 eta: 1 day, 12:22:33 time: 0.4352 data_time: 0.0146 memory: 17087 grad_norm: 5.3236 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5027 loss: 1.5027 2022/08/04 06:56:19 - mmengine - INFO - Epoch(train) [95][1080/1879] lr: 1.0000e-02 eta: 1 day, 12:22:25 time: 0.4290 data_time: 0.0161 memory: 17087 grad_norm: 5.3259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4766 loss: 1.4766 2022/08/04 06:56:28 - mmengine - INFO - Epoch(train) [95][1100/1879] lr: 1.0000e-02 eta: 1 day, 12:22:16 time: 0.4286 data_time: 0.0161 memory: 17087 grad_norm: 5.3378 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.5715 loss: 1.5715 2022/08/04 06:56:37 - mmengine - INFO - Epoch(train) [95][1120/1879] lr: 1.0000e-02 eta: 1 day, 12:22:08 time: 0.4641 data_time: 0.0155 memory: 17087 grad_norm: 5.5185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5917 loss: 1.5917 2022/08/04 06:56:46 - mmengine - INFO - Epoch(train) [95][1140/1879] lr: 1.0000e-02 eta: 1 day, 12:22:00 time: 0.4277 data_time: 0.0152 memory: 17087 grad_norm: 5.2704 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4301 loss: 1.4301 2022/08/04 06:56:54 - mmengine - INFO - Epoch(train) [95][1160/1879] lr: 1.0000e-02 eta: 1 day, 12:21:51 time: 0.4402 data_time: 0.0204 memory: 17087 grad_norm: 5.3457 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5741 loss: 1.5741 2022/08/04 06:57:03 - mmengine - INFO - Epoch(train) [95][1180/1879] lr: 1.0000e-02 eta: 1 day, 12:21:43 time: 0.4271 data_time: 0.0169 memory: 17087 grad_norm: 5.2264 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5002 loss: 1.5002 2022/08/04 06:57:12 - mmengine - INFO - Epoch(train) [95][1200/1879] lr: 1.0000e-02 eta: 1 day, 12:21:34 time: 0.4385 data_time: 0.0173 memory: 17087 grad_norm: 5.1746 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3809 loss: 1.3809 2022/08/04 06:57:20 - mmengine - INFO - Epoch(train) [95][1220/1879] lr: 1.0000e-02 eta: 1 day, 12:21:26 time: 0.4327 data_time: 0.0187 memory: 17087 grad_norm: 5.3431 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5488 loss: 1.5488 2022/08/04 06:57:29 - mmengine - INFO - Epoch(train) [95][1240/1879] lr: 1.0000e-02 eta: 1 day, 12:21:17 time: 0.4286 data_time: 0.0163 memory: 17087 grad_norm: 5.3421 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4402 loss: 1.4402 2022/08/04 06:57:38 - mmengine - INFO - Epoch(train) [95][1260/1879] lr: 1.0000e-02 eta: 1 day, 12:21:08 time: 0.4367 data_time: 0.0140 memory: 17087 grad_norm: 5.2043 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3329 loss: 1.3329 2022/08/04 06:57:46 - mmengine - INFO - Epoch(train) [95][1280/1879] lr: 1.0000e-02 eta: 1 day, 12:21:00 time: 0.4329 data_time: 0.0208 memory: 17087 grad_norm: 5.4462 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4126 loss: 1.4126 2022/08/04 06:57:55 - mmengine - INFO - Epoch(train) [95][1300/1879] lr: 1.0000e-02 eta: 1 day, 12:20:52 time: 0.4501 data_time: 0.0153 memory: 17087 grad_norm: 5.3612 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4927 loss: 1.4927 2022/08/04 06:58:04 - mmengine - INFO - Epoch(train) [95][1320/1879] lr: 1.0000e-02 eta: 1 day, 12:20:43 time: 0.4348 data_time: 0.0163 memory: 17087 grad_norm: 5.4849 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.7077 loss: 1.7077 2022/08/04 06:58:13 - mmengine - INFO - Epoch(train) [95][1340/1879] lr: 1.0000e-02 eta: 1 day, 12:20:35 time: 0.4545 data_time: 0.0140 memory: 17087 grad_norm: 5.5324 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5880 loss: 1.5880 2022/08/04 06:58:22 - mmengine - INFO - Epoch(train) [95][1360/1879] lr: 1.0000e-02 eta: 1 day, 12:20:27 time: 0.4325 data_time: 0.0216 memory: 17087 grad_norm: 5.3509 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5774 loss: 1.5774 2022/08/04 06:58:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 06:58:31 - mmengine - INFO - Epoch(train) [95][1380/1879] lr: 1.0000e-02 eta: 1 day, 12:20:18 time: 0.4389 data_time: 0.0147 memory: 17087 grad_norm: 5.4061 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4383 loss: 1.4383 2022/08/04 06:58:39 - mmengine - INFO - Epoch(train) [95][1400/1879] lr: 1.0000e-02 eta: 1 day, 12:20:10 time: 0.4280 data_time: 0.0161 memory: 17087 grad_norm: 5.4393 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4984 loss: 1.4984 2022/08/04 06:58:48 - mmengine - INFO - Epoch(train) [95][1420/1879] lr: 1.0000e-02 eta: 1 day, 12:20:01 time: 0.4269 data_time: 0.0134 memory: 17087 grad_norm: 5.5052 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5491 loss: 1.5491 2022/08/04 06:58:57 - mmengine - INFO - Epoch(train) [95][1440/1879] lr: 1.0000e-02 eta: 1 day, 12:19:52 time: 0.4406 data_time: 0.0163 memory: 17087 grad_norm: 5.2966 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2327 loss: 1.2327 2022/08/04 06:59:05 - mmengine - INFO - Epoch(train) [95][1460/1879] lr: 1.0000e-02 eta: 1 day, 12:19:44 time: 0.4262 data_time: 0.0151 memory: 17087 grad_norm: 5.3434 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5652 loss: 1.5652 2022/08/04 06:59:15 - mmengine - INFO - Epoch(train) [95][1480/1879] lr: 1.0000e-02 eta: 1 day, 12:19:36 time: 0.4686 data_time: 0.0183 memory: 17087 grad_norm: 5.4505 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5482 loss: 1.5482 2022/08/04 06:59:23 - mmengine - INFO - Epoch(train) [95][1500/1879] lr: 1.0000e-02 eta: 1 day, 12:19:28 time: 0.4308 data_time: 0.0200 memory: 17087 grad_norm: 5.3532 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6394 loss: 1.6394 2022/08/04 06:59:32 - mmengine - INFO - Epoch(train) [95][1520/1879] lr: 1.0000e-02 eta: 1 day, 12:19:20 time: 0.4490 data_time: 0.0164 memory: 17087 grad_norm: 5.2087 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3553 loss: 1.3553 2022/08/04 06:59:41 - mmengine - INFO - Epoch(train) [95][1540/1879] lr: 1.0000e-02 eta: 1 day, 12:19:11 time: 0.4334 data_time: 0.0153 memory: 17087 grad_norm: 5.3119 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5429 loss: 1.5429 2022/08/04 06:59:50 - mmengine - INFO - Epoch(train) [95][1560/1879] lr: 1.0000e-02 eta: 1 day, 12:19:03 time: 0.4487 data_time: 0.0158 memory: 17087 grad_norm: 5.5014 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4772 loss: 1.4772 2022/08/04 06:59:58 - mmengine - INFO - Epoch(train) [95][1580/1879] lr: 1.0000e-02 eta: 1 day, 12:18:54 time: 0.4244 data_time: 0.0124 memory: 17087 grad_norm: 5.1917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5499 loss: 1.5499 2022/08/04 07:00:07 - mmengine - INFO - Epoch(train) [95][1600/1879] lr: 1.0000e-02 eta: 1 day, 12:18:45 time: 0.4280 data_time: 0.0155 memory: 17087 grad_norm: 5.4274 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6604 loss: 1.6604 2022/08/04 07:00:16 - mmengine - INFO - Epoch(train) [95][1620/1879] lr: 1.0000e-02 eta: 1 day, 12:18:38 time: 0.4584 data_time: 0.0151 memory: 17087 grad_norm: 5.2806 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6558 loss: 1.6558 2022/08/04 07:00:25 - mmengine - INFO - Epoch(train) [95][1640/1879] lr: 1.0000e-02 eta: 1 day, 12:18:29 time: 0.4283 data_time: 0.0159 memory: 17087 grad_norm: 5.3037 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5262 loss: 1.5262 2022/08/04 07:00:34 - mmengine - INFO - Epoch(train) [95][1660/1879] lr: 1.0000e-02 eta: 1 day, 12:18:21 time: 0.4662 data_time: 0.0150 memory: 17087 grad_norm: 5.4500 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6062 loss: 1.6062 2022/08/04 07:00:43 - mmengine - INFO - Epoch(train) [95][1680/1879] lr: 1.0000e-02 eta: 1 day, 12:18:12 time: 0.4254 data_time: 0.0155 memory: 17087 grad_norm: 5.4289 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5748 loss: 1.5748 2022/08/04 07:00:52 - mmengine - INFO - Epoch(train) [95][1700/1879] lr: 1.0000e-02 eta: 1 day, 12:18:05 time: 0.4596 data_time: 0.0224 memory: 17087 grad_norm: 5.3578 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4837 loss: 1.4837 2022/08/04 07:01:01 - mmengine - INFO - Epoch(train) [95][1720/1879] lr: 1.0000e-02 eta: 1 day, 12:17:56 time: 0.4401 data_time: 0.0164 memory: 17087 grad_norm: 5.2898 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4704 loss: 1.4704 2022/08/04 07:01:09 - mmengine - INFO - Epoch(train) [95][1740/1879] lr: 1.0000e-02 eta: 1 day, 12:17:48 time: 0.4273 data_time: 0.0154 memory: 17087 grad_norm: 5.2735 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3642 loss: 1.3642 2022/08/04 07:01:18 - mmengine - INFO - Epoch(train) [95][1760/1879] lr: 1.0000e-02 eta: 1 day, 12:17:39 time: 0.4269 data_time: 0.0146 memory: 17087 grad_norm: 5.4416 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5309 loss: 1.5309 2022/08/04 07:01:27 - mmengine - INFO - Epoch(train) [95][1780/1879] lr: 1.0000e-02 eta: 1 day, 12:17:31 time: 0.4619 data_time: 0.0188 memory: 17087 grad_norm: 5.5539 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.7812 loss: 1.7812 2022/08/04 07:01:36 - mmengine - INFO - Epoch(train) [95][1800/1879] lr: 1.0000e-02 eta: 1 day, 12:17:23 time: 0.4307 data_time: 0.0182 memory: 17087 grad_norm: 5.3802 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5260 loss: 1.5260 2022/08/04 07:01:44 - mmengine - INFO - Epoch(train) [95][1820/1879] lr: 1.0000e-02 eta: 1 day, 12:17:14 time: 0.4336 data_time: 0.0176 memory: 17087 grad_norm: 5.4883 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.7314 loss: 1.7314 2022/08/04 07:01:53 - mmengine - INFO - Epoch(train) [95][1840/1879] lr: 1.0000e-02 eta: 1 day, 12:17:05 time: 0.4292 data_time: 0.0172 memory: 17087 grad_norm: 5.3270 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4911 loss: 1.4911 2022/08/04 07:02:01 - mmengine - INFO - Epoch(train) [95][1860/1879] lr: 1.0000e-02 eta: 1 day, 12:16:57 time: 0.4333 data_time: 0.0166 memory: 17087 grad_norm: 5.0572 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5589 loss: 1.5589 2022/08/04 07:02:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 07:02:09 - mmengine - INFO - Epoch(train) [95][1879/1879] lr: 1.0000e-02 eta: 1 day, 12:16:57 time: 0.4092 data_time: 0.0151 memory: 17087 grad_norm: 5.2545 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.3065 loss: 1.3065 2022/08/04 07:02:17 - mmengine - INFO - Epoch(val) [95][20/155] eta: 0:00:50 time: 0.3741 data_time: 0.2044 memory: 2821 2022/08/04 07:02:22 - mmengine - INFO - Epoch(val) [95][40/155] eta: 0:00:27 time: 0.2396 data_time: 0.0727 memory: 2821 2022/08/04 07:02:28 - mmengine - INFO - Epoch(val) [95][60/155] eta: 0:00:28 time: 0.3044 data_time: 0.1389 memory: 2821 2022/08/04 07:02:33 - mmengine - INFO - Epoch(val) [95][80/155] eta: 0:00:19 time: 0.2642 data_time: 0.0967 memory: 2821 2022/08/04 07:02:39 - mmengine - INFO - Epoch(val) [95][100/155] eta: 0:00:17 time: 0.3222 data_time: 0.1528 memory: 2821 2022/08/04 07:02:45 - mmengine - INFO - Epoch(val) [95][120/155] eta: 0:00:08 time: 0.2563 data_time: 0.0845 memory: 2821 2022/08/04 07:02:51 - mmengine - INFO - Epoch(val) [95][140/155] eta: 0:00:04 time: 0.3189 data_time: 0.1521 memory: 2821 2022/08/04 07:02:56 - mmengine - INFO - Epoch(val) [95][155/155] acc/top1: 0.6546 acc/top5: 0.8610 acc/mean1: 0.6544 2022/08/04 07:03:08 - mmengine - INFO - Epoch(train) [96][20/1879] lr: 1.0000e-02 eta: 1 day, 12:16:30 time: 0.5563 data_time: 0.1185 memory: 17087 grad_norm: 5.3696 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6277 loss: 1.6277 2022/08/04 07:03:16 - mmengine - INFO - Epoch(train) [96][40/1879] lr: 1.0000e-02 eta: 1 day, 12:16:22 time: 0.4449 data_time: 0.0222 memory: 17087 grad_norm: 5.3032 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5963 loss: 1.5963 2022/08/04 07:03:25 - mmengine - INFO - Epoch(train) [96][60/1879] lr: 1.0000e-02 eta: 1 day, 12:16:13 time: 0.4267 data_time: 0.0140 memory: 17087 grad_norm: 5.1274 top1_acc: 0.2500 top5_acc: 0.6250 loss_cls: 1.4942 loss: 1.4942 2022/08/04 07:03:34 - mmengine - INFO - Epoch(train) [96][80/1879] lr: 1.0000e-02 eta: 1 day, 12:16:05 time: 0.4519 data_time: 0.0188 memory: 17087 grad_norm: 5.3144 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4029 loss: 1.4029 2022/08/04 07:03:43 - mmengine - INFO - Epoch(train) [96][100/1879] lr: 1.0000e-02 eta: 1 day, 12:15:56 time: 0.4263 data_time: 0.0160 memory: 17087 grad_norm: 5.4628 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4503 loss: 1.4503 2022/08/04 07:03:52 - mmengine - INFO - Epoch(train) [96][120/1879] lr: 1.0000e-02 eta: 1 day, 12:15:49 time: 0.4742 data_time: 0.0227 memory: 17087 grad_norm: 5.4467 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5212 loss: 1.5212 2022/08/04 07:04:01 - mmengine - INFO - Epoch(train) [96][140/1879] lr: 1.0000e-02 eta: 1 day, 12:15:41 time: 0.4324 data_time: 0.0156 memory: 17087 grad_norm: 5.2686 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4573 loss: 1.4573 2022/08/04 07:04:09 - mmengine - INFO - Epoch(train) [96][160/1879] lr: 1.0000e-02 eta: 1 day, 12:15:32 time: 0.4283 data_time: 0.0173 memory: 17087 grad_norm: 5.1762 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4669 loss: 1.4669 2022/08/04 07:04:18 - mmengine - INFO - Epoch(train) [96][180/1879] lr: 1.0000e-02 eta: 1 day, 12:15:23 time: 0.4246 data_time: 0.0127 memory: 17087 grad_norm: 5.4274 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.4784 loss: 1.4784 2022/08/04 07:04:27 - mmengine - INFO - Epoch(train) [96][200/1879] lr: 1.0000e-02 eta: 1 day, 12:15:16 time: 0.4708 data_time: 0.0182 memory: 17087 grad_norm: 5.2567 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2510 loss: 1.2510 2022/08/04 07:04:36 - mmengine - INFO - Epoch(train) [96][220/1879] lr: 1.0000e-02 eta: 1 day, 12:15:07 time: 0.4253 data_time: 0.0151 memory: 17087 grad_norm: 5.3001 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4648 loss: 1.4648 2022/08/04 07:04:45 - mmengine - INFO - Epoch(train) [96][240/1879] lr: 1.0000e-02 eta: 1 day, 12:14:59 time: 0.4541 data_time: 0.0153 memory: 17087 grad_norm: 5.3769 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4974 loss: 1.4974 2022/08/04 07:04:53 - mmengine - INFO - Epoch(train) [96][260/1879] lr: 1.0000e-02 eta: 1 day, 12:14:50 time: 0.4255 data_time: 0.0140 memory: 17087 grad_norm: 5.1596 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4963 loss: 1.4963 2022/08/04 07:05:02 - mmengine - INFO - Epoch(train) [96][280/1879] lr: 1.0000e-02 eta: 1 day, 12:14:42 time: 0.4374 data_time: 0.0175 memory: 17087 grad_norm: 5.5223 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6319 loss: 1.6319 2022/08/04 07:05:11 - mmengine - INFO - Epoch(train) [96][300/1879] lr: 1.0000e-02 eta: 1 day, 12:14:33 time: 0.4260 data_time: 0.0145 memory: 17087 grad_norm: 5.4542 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.7293 loss: 1.7293 2022/08/04 07:05:19 - mmengine - INFO - Epoch(train) [96][320/1879] lr: 1.0000e-02 eta: 1 day, 12:14:24 time: 0.4260 data_time: 0.0151 memory: 17087 grad_norm: 5.2981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5344 loss: 1.5344 2022/08/04 07:05:28 - mmengine - INFO - Epoch(train) [96][340/1879] lr: 1.0000e-02 eta: 1 day, 12:14:16 time: 0.4412 data_time: 0.0151 memory: 17087 grad_norm: 5.3077 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4292 loss: 1.4292 2022/08/04 07:05:37 - mmengine - INFO - Epoch(train) [96][360/1879] lr: 1.0000e-02 eta: 1 day, 12:14:07 time: 0.4284 data_time: 0.0152 memory: 17087 grad_norm: 5.6752 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5119 loss: 1.5119 2022/08/04 07:05:45 - mmengine - INFO - Epoch(train) [96][380/1879] lr: 1.0000e-02 eta: 1 day, 12:13:58 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 5.4199 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6470 loss: 1.6470 2022/08/04 07:05:54 - mmengine - INFO - Epoch(train) [96][400/1879] lr: 1.0000e-02 eta: 1 day, 12:13:49 time: 0.4273 data_time: 0.0159 memory: 17087 grad_norm: 5.2600 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.3543 loss: 1.3543 2022/08/04 07:06:02 - mmengine - INFO - Epoch(train) [96][420/1879] lr: 1.0000e-02 eta: 1 day, 12:13:41 time: 0.4364 data_time: 0.0158 memory: 17087 grad_norm: 5.2828 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6437 loss: 1.6437 2022/08/04 07:06:11 - mmengine - INFO - Epoch(train) [96][440/1879] lr: 1.0000e-02 eta: 1 day, 12:13:32 time: 0.4280 data_time: 0.0165 memory: 17087 grad_norm: 5.3175 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4738 loss: 1.4738 2022/08/04 07:06:20 - mmengine - INFO - Epoch(train) [96][460/1879] lr: 1.0000e-02 eta: 1 day, 12:13:23 time: 0.4276 data_time: 0.0149 memory: 17087 grad_norm: 5.3827 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6432 loss: 1.6432 2022/08/04 07:06:28 - mmengine - INFO - Epoch(train) [96][480/1879] lr: 1.0000e-02 eta: 1 day, 12:13:15 time: 0.4313 data_time: 0.0176 memory: 17087 grad_norm: 5.3787 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.5572 loss: 1.5572 2022/08/04 07:06:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 07:06:37 - mmengine - INFO - Epoch(train) [96][500/1879] lr: 1.0000e-02 eta: 1 day, 12:13:06 time: 0.4263 data_time: 0.0143 memory: 17087 grad_norm: 5.3045 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1887 loss: 1.1887 2022/08/04 07:06:46 - mmengine - INFO - Epoch(train) [96][520/1879] lr: 1.0000e-02 eta: 1 day, 12:12:58 time: 0.4531 data_time: 0.0160 memory: 17087 grad_norm: 5.3650 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5681 loss: 1.5681 2022/08/04 07:06:54 - mmengine - INFO - Epoch(train) [96][540/1879] lr: 1.0000e-02 eta: 1 day, 12:12:49 time: 0.4281 data_time: 0.0149 memory: 17087 grad_norm: 5.2946 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5557 loss: 1.5557 2022/08/04 07:07:03 - mmengine - INFO - Epoch(train) [96][560/1879] lr: 1.0000e-02 eta: 1 day, 12:12:41 time: 0.4508 data_time: 0.0161 memory: 17087 grad_norm: 5.2454 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4052 loss: 1.4052 2022/08/04 07:07:12 - mmengine - INFO - Epoch(train) [96][580/1879] lr: 1.0000e-02 eta: 1 day, 12:12:33 time: 0.4279 data_time: 0.0156 memory: 17087 grad_norm: 5.3537 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5414 loss: 1.5414 2022/08/04 07:07:21 - mmengine - INFO - Epoch(train) [96][600/1879] lr: 1.0000e-02 eta: 1 day, 12:12:24 time: 0.4285 data_time: 0.0165 memory: 17087 grad_norm: 5.4873 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.4783 loss: 1.4783 2022/08/04 07:07:29 - mmengine - INFO - Epoch(train) [96][620/1879] lr: 1.0000e-02 eta: 1 day, 12:12:15 time: 0.4267 data_time: 0.0162 memory: 17087 grad_norm: 5.4096 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.7471 loss: 1.7471 2022/08/04 07:07:38 - mmengine - INFO - Epoch(train) [96][640/1879] lr: 1.0000e-02 eta: 1 day, 12:12:06 time: 0.4286 data_time: 0.0149 memory: 17087 grad_norm: 5.6800 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6769 loss: 1.6769 2022/08/04 07:07:47 - mmengine - INFO - Epoch(train) [96][660/1879] lr: 1.0000e-02 eta: 1 day, 12:11:58 time: 0.4534 data_time: 0.0159 memory: 17087 grad_norm: 5.2746 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2681 loss: 1.2681 2022/08/04 07:07:56 - mmengine - INFO - Epoch(train) [96][680/1879] lr: 1.0000e-02 eta: 1 day, 12:11:50 time: 0.4360 data_time: 0.0178 memory: 17087 grad_norm: 5.5653 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4658 loss: 1.4658 2022/08/04 07:08:04 - mmengine - INFO - Epoch(train) [96][700/1879] lr: 1.0000e-02 eta: 1 day, 12:11:41 time: 0.4387 data_time: 0.0155 memory: 17087 grad_norm: 5.2588 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3761 loss: 1.3761 2022/08/04 07:08:13 - mmengine - INFO - Epoch(train) [96][720/1879] lr: 1.0000e-02 eta: 1 day, 12:11:33 time: 0.4272 data_time: 0.0155 memory: 17087 grad_norm: 5.5273 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3368 loss: 1.3368 2022/08/04 07:08:22 - mmengine - INFO - Epoch(train) [96][740/1879] lr: 1.0000e-02 eta: 1 day, 12:11:24 time: 0.4362 data_time: 0.0155 memory: 17087 grad_norm: 5.3585 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5046 loss: 1.5046 2022/08/04 07:08:30 - mmengine - INFO - Epoch(train) [96][760/1879] lr: 1.0000e-02 eta: 1 day, 12:11:15 time: 0.4295 data_time: 0.0176 memory: 17087 grad_norm: 5.6702 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5344 loss: 1.5344 2022/08/04 07:08:39 - mmengine - INFO - Epoch(train) [96][780/1879] lr: 1.0000e-02 eta: 1 day, 12:11:07 time: 0.4259 data_time: 0.0139 memory: 17087 grad_norm: 5.3595 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.6434 loss: 1.6434 2022/08/04 07:08:49 - mmengine - INFO - Epoch(train) [96][800/1879] lr: 1.0000e-02 eta: 1 day, 12:11:00 time: 0.4892 data_time: 0.0792 memory: 17087 grad_norm: 5.3320 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.5404 loss: 1.5404 2022/08/04 07:08:57 - mmengine - INFO - Epoch(train) [96][820/1879] lr: 1.0000e-02 eta: 1 day, 12:10:51 time: 0.4258 data_time: 0.0138 memory: 17087 grad_norm: 5.4999 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4126 loss: 1.4126 2022/08/04 07:09:06 - mmengine - INFO - Epoch(train) [96][840/1879] lr: 1.0000e-02 eta: 1 day, 12:10:43 time: 0.4346 data_time: 0.0159 memory: 17087 grad_norm: 5.3554 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3457 loss: 1.3457 2022/08/04 07:09:14 - mmengine - INFO - Epoch(train) [96][860/1879] lr: 1.0000e-02 eta: 1 day, 12:10:34 time: 0.4305 data_time: 0.0157 memory: 17087 grad_norm: 5.3428 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3579 loss: 1.3579 2022/08/04 07:09:23 - mmengine - INFO - Epoch(train) [96][880/1879] lr: 1.0000e-02 eta: 1 day, 12:10:26 time: 0.4525 data_time: 0.0185 memory: 17087 grad_norm: 5.3000 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4742 loss: 1.4742 2022/08/04 07:09:32 - mmengine - INFO - Epoch(train) [96][900/1879] lr: 1.0000e-02 eta: 1 day, 12:10:17 time: 0.4308 data_time: 0.0177 memory: 17087 grad_norm: 5.4296 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4645 loss: 1.4645 2022/08/04 07:09:41 - mmengine - INFO - Epoch(train) [96][920/1879] lr: 1.0000e-02 eta: 1 day, 12:10:09 time: 0.4372 data_time: 0.0167 memory: 17087 grad_norm: 5.2970 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.5901 loss: 1.5901 2022/08/04 07:09:49 - mmengine - INFO - Epoch(train) [96][940/1879] lr: 1.0000e-02 eta: 1 day, 12:10:00 time: 0.4266 data_time: 0.0133 memory: 17087 grad_norm: 5.3126 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.3223 loss: 1.3223 2022/08/04 07:09:58 - mmengine - INFO - Epoch(train) [96][960/1879] lr: 1.0000e-02 eta: 1 day, 12:09:51 time: 0.4296 data_time: 0.0165 memory: 17087 grad_norm: 5.3866 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6156 loss: 1.6156 2022/08/04 07:10:07 - mmengine - INFO - Epoch(train) [96][980/1879] lr: 1.0000e-02 eta: 1 day, 12:09:44 time: 0.4584 data_time: 0.0146 memory: 17087 grad_norm: 5.4137 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.4891 loss: 1.4891 2022/08/04 07:10:16 - mmengine - INFO - Epoch(train) [96][1000/1879] lr: 1.0000e-02 eta: 1 day, 12:09:35 time: 0.4321 data_time: 0.0159 memory: 17087 grad_norm: 5.4174 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4908 loss: 1.4908 2022/08/04 07:10:25 - mmengine - INFO - Epoch(train) [96][1020/1879] lr: 1.0000e-02 eta: 1 day, 12:09:27 time: 0.4508 data_time: 0.0175 memory: 17087 grad_norm: 5.5005 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5682 loss: 1.5682 2022/08/04 07:10:33 - mmengine - INFO - Epoch(train) [96][1040/1879] lr: 1.0000e-02 eta: 1 day, 12:09:18 time: 0.4289 data_time: 0.0176 memory: 17087 grad_norm: 5.4258 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4096 loss: 1.4096 2022/08/04 07:10:42 - mmengine - INFO - Epoch(train) [96][1060/1879] lr: 1.0000e-02 eta: 1 day, 12:09:10 time: 0.4307 data_time: 0.0152 memory: 17087 grad_norm: 5.3210 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4286 loss: 1.4286 2022/08/04 07:10:51 - mmengine - INFO - Epoch(train) [96][1080/1879] lr: 1.0000e-02 eta: 1 day, 12:09:01 time: 0.4308 data_time: 0.0176 memory: 17087 grad_norm: 5.3174 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4325 loss: 1.4325 2022/08/04 07:11:00 - mmengine - INFO - Epoch(train) [96][1100/1879] lr: 1.0000e-02 eta: 1 day, 12:08:53 time: 0.4456 data_time: 0.0158 memory: 17087 grad_norm: 5.4497 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3565 loss: 1.3565 2022/08/04 07:11:08 - mmengine - INFO - Epoch(train) [96][1120/1879] lr: 1.0000e-02 eta: 1 day, 12:08:44 time: 0.4296 data_time: 0.0153 memory: 17087 grad_norm: 5.3234 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5327 loss: 1.5327 2022/08/04 07:11:17 - mmengine - INFO - Epoch(train) [96][1140/1879] lr: 1.0000e-02 eta: 1 day, 12:08:35 time: 0.4300 data_time: 0.0150 memory: 17087 grad_norm: 5.4185 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4339 loss: 1.4339 2022/08/04 07:11:25 - mmengine - INFO - Epoch(train) [96][1160/1879] lr: 1.0000e-02 eta: 1 day, 12:08:27 time: 0.4301 data_time: 0.0175 memory: 17087 grad_norm: 5.3936 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.7155 loss: 1.7155 2022/08/04 07:11:34 - mmengine - INFO - Epoch(train) [96][1180/1879] lr: 1.0000e-02 eta: 1 day, 12:08:18 time: 0.4307 data_time: 0.0143 memory: 17087 grad_norm: 5.4011 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5288 loss: 1.5288 2022/08/04 07:11:43 - mmengine - INFO - Epoch(train) [96][1200/1879] lr: 1.0000e-02 eta: 1 day, 12:08:09 time: 0.4282 data_time: 0.0167 memory: 17087 grad_norm: 5.3456 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5735 loss: 1.5735 2022/08/04 07:11:51 - mmengine - INFO - Epoch(train) [96][1220/1879] lr: 1.0000e-02 eta: 1 day, 12:08:01 time: 0.4298 data_time: 0.0148 memory: 17087 grad_norm: 5.3341 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4297 loss: 1.4297 2022/08/04 07:12:00 - mmengine - INFO - Epoch(train) [96][1240/1879] lr: 1.0000e-02 eta: 1 day, 12:07:52 time: 0.4267 data_time: 0.0156 memory: 17087 grad_norm: 5.4899 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5393 loss: 1.5393 2022/08/04 07:12:08 - mmengine - INFO - Epoch(train) [96][1260/1879] lr: 1.0000e-02 eta: 1 day, 12:07:43 time: 0.4257 data_time: 0.0145 memory: 17087 grad_norm: 5.2103 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4310 loss: 1.4310 2022/08/04 07:12:17 - mmengine - INFO - Epoch(train) [96][1280/1879] lr: 1.0000e-02 eta: 1 day, 12:07:35 time: 0.4568 data_time: 0.0172 memory: 17087 grad_norm: 5.3890 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3761 loss: 1.3761 2022/08/04 07:12:26 - mmengine - INFO - Epoch(train) [96][1300/1879] lr: 1.0000e-02 eta: 1 day, 12:07:26 time: 0.4262 data_time: 0.0150 memory: 17087 grad_norm: 5.2475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2818 loss: 1.2818 2022/08/04 07:12:35 - mmengine - INFO - Epoch(train) [96][1320/1879] lr: 1.0000e-02 eta: 1 day, 12:07:19 time: 0.4591 data_time: 0.0170 memory: 17087 grad_norm: 5.3755 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5345 loss: 1.5345 2022/08/04 07:12:44 - mmengine - INFO - Epoch(train) [96][1340/1879] lr: 1.0000e-02 eta: 1 day, 12:07:10 time: 0.4265 data_time: 0.0148 memory: 17087 grad_norm: 5.4764 top1_acc: 0.4375 top5_acc: 1.0000 loss_cls: 1.6554 loss: 1.6554 2022/08/04 07:12:53 - mmengine - INFO - Epoch(train) [96][1360/1879] lr: 1.0000e-02 eta: 1 day, 12:07:01 time: 0.4381 data_time: 0.0163 memory: 17087 grad_norm: 5.4255 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.4844 loss: 1.4844 2022/08/04 07:13:01 - mmengine - INFO - Epoch(train) [96][1380/1879] lr: 1.0000e-02 eta: 1 day, 12:06:53 time: 0.4274 data_time: 0.0143 memory: 17087 grad_norm: 5.1738 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5922 loss: 1.5922 2022/08/04 07:13:10 - mmengine - INFO - Epoch(train) [96][1400/1879] lr: 1.0000e-02 eta: 1 day, 12:06:44 time: 0.4267 data_time: 0.0154 memory: 17087 grad_norm: 5.3154 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4116 loss: 1.4116 2022/08/04 07:13:18 - mmengine - INFO - Epoch(train) [96][1420/1879] lr: 1.0000e-02 eta: 1 day, 12:06:35 time: 0.4406 data_time: 0.0157 memory: 17087 grad_norm: 5.4080 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.3949 loss: 1.3949 2022/08/04 07:13:27 - mmengine - INFO - Epoch(train) [96][1440/1879] lr: 1.0000e-02 eta: 1 day, 12:06:27 time: 0.4268 data_time: 0.0164 memory: 17087 grad_norm: 5.4538 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4989 loss: 1.4989 2022/08/04 07:13:36 - mmengine - INFO - Epoch(train) [96][1460/1879] lr: 1.0000e-02 eta: 1 day, 12:06:18 time: 0.4320 data_time: 0.0163 memory: 17087 grad_norm: 5.4650 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4886 loss: 1.4886 2022/08/04 07:13:44 - mmengine - INFO - Epoch(train) [96][1480/1879] lr: 1.0000e-02 eta: 1 day, 12:06:09 time: 0.4287 data_time: 0.0157 memory: 17087 grad_norm: 5.3351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3913 loss: 1.3913 2022/08/04 07:13:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 07:13:53 - mmengine - INFO - Epoch(train) [96][1500/1879] lr: 1.0000e-02 eta: 1 day, 12:06:01 time: 0.4528 data_time: 0.0153 memory: 17087 grad_norm: 5.3932 top1_acc: 0.4375 top5_acc: 0.5000 loss_cls: 1.4149 loss: 1.4149 2022/08/04 07:14:02 - mmengine - INFO - Epoch(train) [96][1520/1879] lr: 1.0000e-02 eta: 1 day, 12:05:52 time: 0.4258 data_time: 0.0159 memory: 17087 grad_norm: 5.4176 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6315 loss: 1.6315 2022/08/04 07:14:10 - mmengine - INFO - Epoch(train) [96][1540/1879] lr: 1.0000e-02 eta: 1 day, 12:05:44 time: 0.4259 data_time: 0.0131 memory: 17087 grad_norm: 5.2537 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.4717 loss: 1.4717 2022/08/04 07:14:19 - mmengine - INFO - Epoch(train) [96][1560/1879] lr: 1.0000e-02 eta: 1 day, 12:05:35 time: 0.4318 data_time: 0.0191 memory: 17087 grad_norm: 5.3126 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5145 loss: 1.5145 2022/08/04 07:14:28 - mmengine - INFO - Epoch(train) [96][1580/1879] lr: 1.0000e-02 eta: 1 day, 12:05:26 time: 0.4251 data_time: 0.0158 memory: 17087 grad_norm: 5.3572 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6066 loss: 1.6066 2022/08/04 07:14:37 - mmengine - INFO - Epoch(train) [96][1600/1879] lr: 1.0000e-02 eta: 1 day, 12:05:19 time: 0.4637 data_time: 0.0173 memory: 17087 grad_norm: 5.3734 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4320 loss: 1.4320 2022/08/04 07:14:45 - mmengine - INFO - Epoch(train) [96][1620/1879] lr: 1.0000e-02 eta: 1 day, 12:05:10 time: 0.4259 data_time: 0.0136 memory: 17087 grad_norm: 5.4689 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6115 loss: 1.6115 2022/08/04 07:14:54 - mmengine - INFO - Epoch(train) [96][1640/1879] lr: 1.0000e-02 eta: 1 day, 12:05:02 time: 0.4438 data_time: 0.0201 memory: 17087 grad_norm: 5.4170 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4362 loss: 1.4362 2022/08/04 07:15:03 - mmengine - INFO - Epoch(train) [96][1660/1879] lr: 1.0000e-02 eta: 1 day, 12:04:53 time: 0.4290 data_time: 0.0154 memory: 17087 grad_norm: 5.4210 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4543 loss: 1.4543 2022/08/04 07:15:12 - mmengine - INFO - Epoch(train) [96][1680/1879] lr: 1.0000e-02 eta: 1 day, 12:04:45 time: 0.4533 data_time: 0.0171 memory: 17087 grad_norm: 5.2347 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5440 loss: 1.5440 2022/08/04 07:15:20 - mmengine - INFO - Epoch(train) [96][1700/1879] lr: 1.0000e-02 eta: 1 day, 12:04:36 time: 0.4278 data_time: 0.0155 memory: 17087 grad_norm: 5.2814 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2830 loss: 1.2830 2022/08/04 07:15:29 - mmengine - INFO - Epoch(train) [96][1720/1879] lr: 1.0000e-02 eta: 1 day, 12:04:27 time: 0.4282 data_time: 0.0161 memory: 17087 grad_norm: 5.4856 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4665 loss: 1.4665 2022/08/04 07:15:38 - mmengine - INFO - Epoch(train) [96][1740/1879] lr: 1.0000e-02 eta: 1 day, 12:04:19 time: 0.4302 data_time: 0.0160 memory: 17087 grad_norm: 5.4172 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5244 loss: 1.5244 2022/08/04 07:15:46 - mmengine - INFO - Epoch(train) [96][1760/1879] lr: 1.0000e-02 eta: 1 day, 12:04:10 time: 0.4273 data_time: 0.0162 memory: 17087 grad_norm: 5.2662 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4022 loss: 1.4022 2022/08/04 07:15:55 - mmengine - INFO - Epoch(train) [96][1780/1879] lr: 1.0000e-02 eta: 1 day, 12:04:01 time: 0.4336 data_time: 0.0159 memory: 17087 grad_norm: 5.4170 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4837 loss: 1.4837 2022/08/04 07:16:03 - mmengine - INFO - Epoch(train) [96][1800/1879] lr: 1.0000e-02 eta: 1 day, 12:03:53 time: 0.4276 data_time: 0.0156 memory: 17087 grad_norm: 5.5584 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6843 loss: 1.6843 2022/08/04 07:16:13 - mmengine - INFO - Epoch(train) [96][1820/1879] lr: 1.0000e-02 eta: 1 day, 12:03:45 time: 0.4532 data_time: 0.0162 memory: 17087 grad_norm: 5.4112 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5853 loss: 1.5853 2022/08/04 07:16:21 - mmengine - INFO - Epoch(train) [96][1840/1879] lr: 1.0000e-02 eta: 1 day, 12:03:36 time: 0.4259 data_time: 0.0144 memory: 17087 grad_norm: 5.5101 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4437 loss: 1.4437 2022/08/04 07:16:30 - mmengine - INFO - Epoch(train) [96][1860/1879] lr: 1.0000e-02 eta: 1 day, 12:03:27 time: 0.4249 data_time: 0.0132 memory: 17087 grad_norm: 5.4775 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4983 loss: 1.4983 2022/08/04 07:16:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 07:16:38 - mmengine - INFO - Epoch(train) [96][1879/1879] lr: 1.0000e-02 eta: 1 day, 12:03:27 time: 0.4503 data_time: 0.0155 memory: 17087 grad_norm: 5.2992 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.3751 loss: 1.3751 2022/08/04 07:16:38 - mmengine - INFO - Saving checkpoint at 96 epochs 2022/08/04 07:16:53 - mmengine - INFO - Epoch(train) [97][20/1879] lr: 1.0000e-02 eta: 1 day, 12:03:00 time: 0.5406 data_time: 0.0981 memory: 17087 grad_norm: 5.3318 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5046 loss: 1.5046 2022/08/04 07:17:01 - mmengine - INFO - Epoch(train) [97][40/1879] lr: 1.0000e-02 eta: 1 day, 12:02:51 time: 0.4285 data_time: 0.0178 memory: 17087 grad_norm: 5.2979 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5720 loss: 1.5720 2022/08/04 07:17:10 - mmengine - INFO - Epoch(train) [97][60/1879] lr: 1.0000e-02 eta: 1 day, 12:02:42 time: 0.4246 data_time: 0.0139 memory: 17087 grad_norm: 5.2877 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.5429 loss: 1.5429 2022/08/04 07:17:18 - mmengine - INFO - Epoch(train) [97][80/1879] lr: 1.0000e-02 eta: 1 day, 12:02:34 time: 0.4400 data_time: 0.0177 memory: 17087 grad_norm: 5.2888 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3655 loss: 1.3655 2022/08/04 07:17:27 - mmengine - INFO - Epoch(train) [97][100/1879] lr: 1.0000e-02 eta: 1 day, 12:02:25 time: 0.4260 data_time: 0.0147 memory: 17087 grad_norm: 5.1646 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4757 loss: 1.4757 2022/08/04 07:17:37 - mmengine - INFO - Epoch(train) [97][120/1879] lr: 1.0000e-02 eta: 1 day, 12:02:18 time: 0.4754 data_time: 0.0188 memory: 17087 grad_norm: 5.1224 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2930 loss: 1.2930 2022/08/04 07:17:45 - mmengine - INFO - Epoch(train) [97][140/1879] lr: 1.0000e-02 eta: 1 day, 12:02:09 time: 0.4260 data_time: 0.0151 memory: 17087 grad_norm: 5.2680 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.5927 loss: 1.5927 2022/08/04 07:17:54 - mmengine - INFO - Epoch(train) [97][160/1879] lr: 1.0000e-02 eta: 1 day, 12:02:02 time: 0.4672 data_time: 0.0180 memory: 17087 grad_norm: 5.3240 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4228 loss: 1.4228 2022/08/04 07:18:03 - mmengine - INFO - Epoch(train) [97][180/1879] lr: 1.0000e-02 eta: 1 day, 12:01:53 time: 0.4268 data_time: 0.0150 memory: 17087 grad_norm: 5.3430 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5081 loss: 1.5081 2022/08/04 07:18:12 - mmengine - INFO - Epoch(train) [97][200/1879] lr: 1.0000e-02 eta: 1 day, 12:01:44 time: 0.4327 data_time: 0.0165 memory: 17087 grad_norm: 5.4254 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4725 loss: 1.4725 2022/08/04 07:18:20 - mmengine - INFO - Epoch(train) [97][220/1879] lr: 1.0000e-02 eta: 1 day, 12:01:36 time: 0.4273 data_time: 0.0144 memory: 17087 grad_norm: 5.3814 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5026 loss: 1.5026 2022/08/04 07:18:29 - mmengine - INFO - Epoch(train) [97][240/1879] lr: 1.0000e-02 eta: 1 day, 12:01:27 time: 0.4282 data_time: 0.0163 memory: 17087 grad_norm: 5.4374 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2897 loss: 1.2897 2022/08/04 07:18:38 - mmengine - INFO - Epoch(train) [97][260/1879] lr: 1.0000e-02 eta: 1 day, 12:01:19 time: 0.4406 data_time: 0.0157 memory: 17087 grad_norm: 5.3753 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5439 loss: 1.5439 2022/08/04 07:18:46 - mmengine - INFO - Epoch(train) [97][280/1879] lr: 1.0000e-02 eta: 1 day, 12:01:10 time: 0.4269 data_time: 0.0158 memory: 17087 grad_norm: 5.3912 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5771 loss: 1.5771 2022/08/04 07:18:55 - mmengine - INFO - Epoch(train) [97][300/1879] lr: 1.0000e-02 eta: 1 day, 12:01:01 time: 0.4373 data_time: 0.0151 memory: 17087 grad_norm: 5.3479 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3698 loss: 1.3698 2022/08/04 07:19:03 - mmengine - INFO - Epoch(train) [97][320/1879] lr: 1.0000e-02 eta: 1 day, 12:00:53 time: 0.4280 data_time: 0.0154 memory: 17087 grad_norm: 5.2484 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4229 loss: 1.4229 2022/08/04 07:19:12 - mmengine - INFO - Epoch(train) [97][340/1879] lr: 1.0000e-02 eta: 1 day, 12:00:44 time: 0.4326 data_time: 0.0147 memory: 17087 grad_norm: 5.2726 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4778 loss: 1.4778 2022/08/04 07:19:21 - mmengine - INFO - Epoch(train) [97][360/1879] lr: 1.0000e-02 eta: 1 day, 12:00:35 time: 0.4277 data_time: 0.0163 memory: 17087 grad_norm: 5.3666 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3683 loss: 1.3683 2022/08/04 07:19:29 - mmengine - INFO - Epoch(train) [97][380/1879] lr: 1.0000e-02 eta: 1 day, 12:00:26 time: 0.4263 data_time: 0.0143 memory: 17087 grad_norm: 5.4465 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4063 loss: 1.4063 2022/08/04 07:19:38 - mmengine - INFO - Epoch(train) [97][400/1879] lr: 1.0000e-02 eta: 1 day, 12:00:19 time: 0.4578 data_time: 0.0167 memory: 17087 grad_norm: 5.4430 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.6577 loss: 1.6577 2022/08/04 07:19:47 - mmengine - INFO - Epoch(train) [97][420/1879] lr: 1.0000e-02 eta: 1 day, 12:00:10 time: 0.4268 data_time: 0.0153 memory: 17087 grad_norm: 5.3594 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3621 loss: 1.3621 2022/08/04 07:19:56 - mmengine - INFO - Epoch(train) [97][440/1879] lr: 1.0000e-02 eta: 1 day, 12:00:02 time: 0.4684 data_time: 0.0222 memory: 17087 grad_norm: 5.3319 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5251 loss: 1.5251 2022/08/04 07:20:05 - mmengine - INFO - Epoch(train) [97][460/1879] lr: 1.0000e-02 eta: 1 day, 11:59:54 time: 0.4265 data_time: 0.0139 memory: 17087 grad_norm: 5.3532 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4910 loss: 1.4910 2022/08/04 07:20:14 - mmengine - INFO - Epoch(train) [97][480/1879] lr: 1.0000e-02 eta: 1 day, 11:59:46 time: 0.4595 data_time: 0.0208 memory: 17087 grad_norm: 5.2666 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4848 loss: 1.4848 2022/08/04 07:20:23 - mmengine - INFO - Epoch(train) [97][500/1879] lr: 1.0000e-02 eta: 1 day, 11:59:37 time: 0.4248 data_time: 0.0131 memory: 17087 grad_norm: 5.3643 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5563 loss: 1.5563 2022/08/04 07:20:31 - mmengine - INFO - Epoch(train) [97][520/1879] lr: 1.0000e-02 eta: 1 day, 11:59:29 time: 0.4386 data_time: 0.0209 memory: 17087 grad_norm: 5.4598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6004 loss: 1.6004 2022/08/04 07:20:40 - mmengine - INFO - Epoch(train) [97][540/1879] lr: 1.0000e-02 eta: 1 day, 11:59:20 time: 0.4276 data_time: 0.0136 memory: 17087 grad_norm: 5.2533 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4564 loss: 1.4564 2022/08/04 07:20:49 - mmengine - INFO - Epoch(train) [97][560/1879] lr: 1.0000e-02 eta: 1 day, 11:59:11 time: 0.4283 data_time: 0.0166 memory: 17087 grad_norm: 5.2913 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5153 loss: 1.5153 2022/08/04 07:20:57 - mmengine - INFO - Epoch(train) [97][580/1879] lr: 1.0000e-02 eta: 1 day, 11:59:03 time: 0.4427 data_time: 0.0181 memory: 17087 grad_norm: 5.3994 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5592 loss: 1.5592 2022/08/04 07:21:06 - mmengine - INFO - Epoch(train) [97][600/1879] lr: 1.0000e-02 eta: 1 day, 11:58:54 time: 0.4290 data_time: 0.0172 memory: 17087 grad_norm: 5.4721 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3987 loss: 1.3987 2022/08/04 07:21:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 07:21:15 - mmengine - INFO - Epoch(train) [97][620/1879] lr: 1.0000e-02 eta: 1 day, 11:58:46 time: 0.4348 data_time: 0.0142 memory: 17087 grad_norm: 5.3132 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3895 loss: 1.3895 2022/08/04 07:21:23 - mmengine - INFO - Epoch(train) [97][640/1879] lr: 1.0000e-02 eta: 1 day, 11:58:37 time: 0.4284 data_time: 0.0162 memory: 17087 grad_norm: 5.5653 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6385 loss: 1.6385 2022/08/04 07:21:32 - mmengine - INFO - Epoch(train) [97][660/1879] lr: 1.0000e-02 eta: 1 day, 11:58:28 time: 0.4277 data_time: 0.0160 memory: 17087 grad_norm: 5.2450 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4534 loss: 1.4534 2022/08/04 07:21:40 - mmengine - INFO - Epoch(train) [97][680/1879] lr: 1.0000e-02 eta: 1 day, 11:58:19 time: 0.4267 data_time: 0.0156 memory: 17087 grad_norm: 5.1843 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4206 loss: 1.4206 2022/08/04 07:21:49 - mmengine - INFO - Epoch(train) [97][700/1879] lr: 1.0000e-02 eta: 1 day, 11:58:10 time: 0.4276 data_time: 0.0140 memory: 17087 grad_norm: 5.4928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.5856 loss: 1.5856 2022/08/04 07:21:58 - mmengine - INFO - Epoch(train) [97][720/1879] lr: 1.0000e-02 eta: 1 day, 11:58:02 time: 0.4506 data_time: 0.0158 memory: 17087 grad_norm: 5.2952 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5640 loss: 1.5640 2022/08/04 07:22:06 - mmengine - INFO - Epoch(train) [97][740/1879] lr: 1.0000e-02 eta: 1 day, 11:57:54 time: 0.4268 data_time: 0.0128 memory: 17087 grad_norm: 5.4377 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5693 loss: 1.5693 2022/08/04 07:22:15 - mmengine - INFO - Epoch(train) [97][760/1879] lr: 1.0000e-02 eta: 1 day, 11:57:45 time: 0.4368 data_time: 0.0176 memory: 17087 grad_norm: 5.2587 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.7081 loss: 1.7081 2022/08/04 07:22:24 - mmengine - INFO - Epoch(train) [97][780/1879] lr: 1.0000e-02 eta: 1 day, 11:57:37 time: 0.4319 data_time: 0.0143 memory: 17087 grad_norm: 5.2792 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2797 loss: 1.2797 2022/08/04 07:22:33 - mmengine - INFO - Epoch(train) [97][800/1879] lr: 1.0000e-02 eta: 1 day, 11:57:28 time: 0.4346 data_time: 0.0188 memory: 17087 grad_norm: 5.4121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6585 loss: 1.6585 2022/08/04 07:22:41 - mmengine - INFO - Epoch(train) [97][820/1879] lr: 1.0000e-02 eta: 1 day, 11:57:19 time: 0.4272 data_time: 0.0148 memory: 17087 grad_norm: 5.4922 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4059 loss: 1.4059 2022/08/04 07:22:50 - mmengine - INFO - Epoch(train) [97][840/1879] lr: 1.0000e-02 eta: 1 day, 11:57:10 time: 0.4286 data_time: 0.0159 memory: 17087 grad_norm: 5.2803 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4364 loss: 1.4364 2022/08/04 07:22:58 - mmengine - INFO - Epoch(train) [97][860/1879] lr: 1.0000e-02 eta: 1 day, 11:57:02 time: 0.4306 data_time: 0.0127 memory: 17087 grad_norm: 5.4481 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5302 loss: 1.5302 2022/08/04 07:23:07 - mmengine - INFO - Epoch(train) [97][880/1879] lr: 1.0000e-02 eta: 1 day, 11:56:53 time: 0.4297 data_time: 0.0172 memory: 17087 grad_norm: 5.3611 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.6269 loss: 1.6269 2022/08/04 07:23:16 - mmengine - INFO - Epoch(train) [97][900/1879] lr: 1.0000e-02 eta: 1 day, 11:56:45 time: 0.4489 data_time: 0.0159 memory: 17087 grad_norm: 5.5977 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5514 loss: 1.5514 2022/08/04 07:23:25 - mmengine - INFO - Epoch(train) [97][920/1879] lr: 1.0000e-02 eta: 1 day, 11:56:36 time: 0.4293 data_time: 0.0168 memory: 17087 grad_norm: 5.3266 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4544 loss: 1.4544 2022/08/04 07:23:33 - mmengine - INFO - Epoch(train) [97][940/1879] lr: 1.0000e-02 eta: 1 day, 11:56:28 time: 0.4319 data_time: 0.0159 memory: 17087 grad_norm: 5.2171 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3222 loss: 1.3222 2022/08/04 07:23:42 - mmengine - INFO - Epoch(train) [97][960/1879] lr: 1.0000e-02 eta: 1 day, 11:56:19 time: 0.4367 data_time: 0.0175 memory: 17087 grad_norm: 5.2366 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2541 loss: 1.2541 2022/08/04 07:23:50 - mmengine - INFO - Epoch(train) [97][980/1879] lr: 1.0000e-02 eta: 1 day, 11:56:10 time: 0.4266 data_time: 0.0148 memory: 17087 grad_norm: 5.3981 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6012 loss: 1.6012 2022/08/04 07:23:59 - mmengine - INFO - Epoch(train) [97][1000/1879] lr: 1.0000e-02 eta: 1 day, 11:56:02 time: 0.4264 data_time: 0.0157 memory: 17087 grad_norm: 5.7050 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.3893 loss: 1.3893 2022/08/04 07:24:08 - mmengine - INFO - Epoch(train) [97][1020/1879] lr: 1.0000e-02 eta: 1 day, 11:55:53 time: 0.4336 data_time: 0.0141 memory: 17087 grad_norm: 5.5886 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4734 loss: 1.4734 2022/08/04 07:24:16 - mmengine - INFO - Epoch(train) [97][1040/1879] lr: 1.0000e-02 eta: 1 day, 11:55:44 time: 0.4294 data_time: 0.0169 memory: 17087 grad_norm: 5.3819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.6952 loss: 1.6952 2022/08/04 07:24:25 - mmengine - INFO - Epoch(train) [97][1060/1879] lr: 1.0000e-02 eta: 1 day, 11:55:36 time: 0.4376 data_time: 0.0155 memory: 17087 grad_norm: 5.3199 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.4189 loss: 1.4189 2022/08/04 07:24:34 - mmengine - INFO - Epoch(train) [97][1080/1879] lr: 1.0000e-02 eta: 1 day, 11:55:27 time: 0.4290 data_time: 0.0169 memory: 17087 grad_norm: 5.3325 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6322 loss: 1.6322 2022/08/04 07:24:43 - mmengine - INFO - Epoch(train) [97][1100/1879] lr: 1.0000e-02 eta: 1 day, 11:55:20 time: 0.4619 data_time: 0.0166 memory: 17087 grad_norm: 5.4573 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5012 loss: 1.5012 2022/08/04 07:24:51 - mmengine - INFO - Epoch(train) [97][1120/1879] lr: 1.0000e-02 eta: 1 day, 11:55:11 time: 0.4252 data_time: 0.0149 memory: 17087 grad_norm: 5.3068 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6277 loss: 1.6277 2022/08/04 07:25:00 - mmengine - INFO - Epoch(train) [97][1140/1879] lr: 1.0000e-02 eta: 1 day, 11:55:02 time: 0.4360 data_time: 0.0199 memory: 17087 grad_norm: 5.4057 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4424 loss: 1.4424 2022/08/04 07:25:09 - mmengine - INFO - Epoch(train) [97][1160/1879] lr: 1.0000e-02 eta: 1 day, 11:54:53 time: 0.4269 data_time: 0.0156 memory: 17087 grad_norm: 5.5020 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4700 loss: 1.4700 2022/08/04 07:25:18 - mmengine - INFO - Epoch(train) [97][1180/1879] lr: 1.0000e-02 eta: 1 day, 11:54:45 time: 0.4486 data_time: 0.0176 memory: 17087 grad_norm: 5.3558 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4055 loss: 1.4055 2022/08/04 07:25:26 - mmengine - INFO - Epoch(train) [97][1200/1879] lr: 1.0000e-02 eta: 1 day, 11:54:36 time: 0.4261 data_time: 0.0159 memory: 17087 grad_norm: 5.5527 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6115 loss: 1.6115 2022/08/04 07:25:35 - mmengine - INFO - Epoch(train) [97][1220/1879] lr: 1.0000e-02 eta: 1 day, 11:54:28 time: 0.4478 data_time: 0.0213 memory: 17087 grad_norm: 5.5735 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6234 loss: 1.6234 2022/08/04 07:25:44 - mmengine - INFO - Epoch(train) [97][1240/1879] lr: 1.0000e-02 eta: 1 day, 11:54:20 time: 0.4297 data_time: 0.0166 memory: 17087 grad_norm: 5.5024 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.3831 loss: 1.3831 2022/08/04 07:25:53 - mmengine - INFO - Epoch(train) [97][1260/1879] lr: 1.0000e-02 eta: 1 day, 11:54:11 time: 0.4384 data_time: 0.0206 memory: 17087 grad_norm: 5.3406 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6446 loss: 1.6446 2022/08/04 07:26:01 - mmengine - INFO - Epoch(train) [97][1280/1879] lr: 1.0000e-02 eta: 1 day, 11:54:02 time: 0.4271 data_time: 0.0163 memory: 17087 grad_norm: 5.5236 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6591 loss: 1.6591 2022/08/04 07:26:10 - mmengine - INFO - Epoch(train) [97][1300/1879] lr: 1.0000e-02 eta: 1 day, 11:53:54 time: 0.4266 data_time: 0.0152 memory: 17087 grad_norm: 5.3632 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.6019 loss: 1.6019 2022/08/04 07:26:18 - mmengine - INFO - Epoch(train) [97][1320/1879] lr: 1.0000e-02 eta: 1 day, 11:53:45 time: 0.4313 data_time: 0.0168 memory: 17087 grad_norm: 5.3982 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4886 loss: 1.4886 2022/08/04 07:26:27 - mmengine - INFO - Epoch(train) [97][1340/1879] lr: 1.0000e-02 eta: 1 day, 11:53:36 time: 0.4270 data_time: 0.0156 memory: 17087 grad_norm: 5.4239 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4857 loss: 1.4857 2022/08/04 07:26:36 - mmengine - INFO - Epoch(train) [97][1360/1879] lr: 1.0000e-02 eta: 1 day, 11:53:29 time: 0.4594 data_time: 0.0175 memory: 17087 grad_norm: 5.3969 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5813 loss: 1.5813 2022/08/04 07:26:45 - mmengine - INFO - Epoch(train) [97][1380/1879] lr: 1.0000e-02 eta: 1 day, 11:53:20 time: 0.4263 data_time: 0.0143 memory: 17087 grad_norm: 5.3930 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6029 loss: 1.6029 2022/08/04 07:26:54 - mmengine - INFO - Epoch(train) [97][1400/1879] lr: 1.0000e-02 eta: 1 day, 11:53:13 time: 0.4759 data_time: 0.0232 memory: 17087 grad_norm: 5.2941 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4631 loss: 1.4631 2022/08/04 07:27:03 - mmengine - INFO - Epoch(train) [97][1420/1879] lr: 1.0000e-02 eta: 1 day, 11:53:04 time: 0.4255 data_time: 0.0144 memory: 17087 grad_norm: 5.3215 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.5841 loss: 1.5841 2022/08/04 07:27:11 - mmengine - INFO - Epoch(train) [97][1440/1879] lr: 1.0000e-02 eta: 1 day, 11:52:55 time: 0.4321 data_time: 0.0206 memory: 17087 grad_norm: 5.3105 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4096 loss: 1.4096 2022/08/04 07:27:20 - mmengine - INFO - Epoch(train) [97][1460/1879] lr: 1.0000e-02 eta: 1 day, 11:52:47 time: 0.4539 data_time: 0.0163 memory: 17087 grad_norm: 5.4044 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5532 loss: 1.5532 2022/08/04 07:27:29 - mmengine - INFO - Epoch(train) [97][1480/1879] lr: 1.0000e-02 eta: 1 day, 11:52:39 time: 0.4315 data_time: 0.0215 memory: 17087 grad_norm: 5.4984 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5075 loss: 1.5075 2022/08/04 07:27:38 - mmengine - INFO - Epoch(train) [97][1500/1879] lr: 1.0000e-02 eta: 1 day, 11:52:31 time: 0.4647 data_time: 0.0169 memory: 17087 grad_norm: 5.3690 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4688 loss: 1.4688 2022/08/04 07:27:47 - mmengine - INFO - Epoch(train) [97][1520/1879] lr: 1.0000e-02 eta: 1 day, 11:52:22 time: 0.4288 data_time: 0.0163 memory: 17087 grad_norm: 5.3276 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4706 loss: 1.4706 2022/08/04 07:27:56 - mmengine - INFO - Epoch(train) [97][1540/1879] lr: 1.0000e-02 eta: 1 day, 11:52:14 time: 0.4379 data_time: 0.0212 memory: 17087 grad_norm: 5.3327 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3737 loss: 1.3737 2022/08/04 07:28:04 - mmengine - INFO - Epoch(train) [97][1560/1879] lr: 1.0000e-02 eta: 1 day, 11:52:05 time: 0.4267 data_time: 0.0152 memory: 17087 grad_norm: 5.4724 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2897 loss: 1.2897 2022/08/04 07:28:14 - mmengine - INFO - Epoch(train) [97][1580/1879] lr: 1.0000e-02 eta: 1 day, 11:51:58 time: 0.4724 data_time: 0.0183 memory: 17087 grad_norm: 5.4923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.8184 loss: 1.8184 2022/08/04 07:28:22 - mmengine - INFO - Epoch(train) [97][1600/1879] lr: 1.0000e-02 eta: 1 day, 11:51:49 time: 0.4259 data_time: 0.0164 memory: 17087 grad_norm: 5.6014 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5068 loss: 1.5068 2022/08/04 07:28:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 07:28:31 - mmengine - INFO - Epoch(train) [97][1620/1879] lr: 1.0000e-02 eta: 1 day, 11:51:41 time: 0.4416 data_time: 0.0215 memory: 17087 grad_norm: 5.4425 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4498 loss: 1.4498 2022/08/04 07:28:40 - mmengine - INFO - Epoch(train) [97][1640/1879] lr: 1.0000e-02 eta: 1 day, 11:51:32 time: 0.4265 data_time: 0.0149 memory: 17087 grad_norm: 5.4094 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 1.6434 loss: 1.6434 2022/08/04 07:28:49 - mmengine - INFO - Epoch(train) [97][1660/1879] lr: 1.0000e-02 eta: 1 day, 11:51:24 time: 0.4565 data_time: 0.0164 memory: 17087 grad_norm: 5.5205 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5776 loss: 1.5776 2022/08/04 07:28:57 - mmengine - INFO - Epoch(train) [97][1680/1879] lr: 1.0000e-02 eta: 1 day, 11:51:15 time: 0.4273 data_time: 0.0152 memory: 17087 grad_norm: 5.4612 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6457 loss: 1.6457 2022/08/04 07:29:06 - mmengine - INFO - Epoch(train) [97][1700/1879] lr: 1.0000e-02 eta: 1 day, 11:51:07 time: 0.4493 data_time: 0.0158 memory: 17087 grad_norm: 5.4826 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.5242 loss: 1.5242 2022/08/04 07:29:15 - mmengine - INFO - Epoch(train) [97][1720/1879] lr: 1.0000e-02 eta: 1 day, 11:50:58 time: 0.4327 data_time: 0.0166 memory: 17087 grad_norm: 5.3826 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5482 loss: 1.5482 2022/08/04 07:29:24 - mmengine - INFO - Epoch(train) [97][1740/1879] lr: 1.0000e-02 eta: 1 day, 11:50:51 time: 0.4653 data_time: 0.0171 memory: 17087 grad_norm: 5.5422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6660 loss: 1.6660 2022/08/04 07:29:33 - mmengine - INFO - Epoch(train) [97][1760/1879] lr: 1.0000e-02 eta: 1 day, 11:50:42 time: 0.4277 data_time: 0.0157 memory: 17087 grad_norm: 5.5063 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5516 loss: 1.5516 2022/08/04 07:29:41 - mmengine - INFO - Epoch(train) [97][1780/1879] lr: 1.0000e-02 eta: 1 day, 11:50:33 time: 0.4272 data_time: 0.0145 memory: 17087 grad_norm: 5.2826 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5680 loss: 1.5680 2022/08/04 07:29:50 - mmengine - INFO - Epoch(train) [97][1800/1879] lr: 1.0000e-02 eta: 1 day, 11:50:25 time: 0.4369 data_time: 0.0166 memory: 17087 grad_norm: 5.1435 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4639 loss: 1.4639 2022/08/04 07:29:59 - mmengine - INFO - Epoch(train) [97][1820/1879] lr: 1.0000e-02 eta: 1 day, 11:50:16 time: 0.4245 data_time: 0.0152 memory: 17087 grad_norm: 5.5050 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6013 loss: 1.6013 2022/08/04 07:30:08 - mmengine - INFO - Epoch(train) [97][1840/1879] lr: 1.0000e-02 eta: 1 day, 11:50:08 time: 0.4569 data_time: 0.0170 memory: 17087 grad_norm: 5.2547 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5668 loss: 1.5668 2022/08/04 07:30:16 - mmengine - INFO - Epoch(train) [97][1860/1879] lr: 1.0000e-02 eta: 1 day, 11:49:59 time: 0.4265 data_time: 0.0153 memory: 17087 grad_norm: 5.5605 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.7424 loss: 1.7424 2022/08/04 07:30:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 07:30:24 - mmengine - INFO - Epoch(train) [97][1879/1879] lr: 1.0000e-02 eta: 1 day, 11:49:59 time: 0.4170 data_time: 0.0169 memory: 17087 grad_norm: 5.4863 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.4888 loss: 1.4888 2022/08/04 07:30:36 - mmengine - INFO - Epoch(train) [98][20/1879] lr: 1.0000e-02 eta: 1 day, 11:49:33 time: 0.5626 data_time: 0.1331 memory: 17087 grad_norm: 5.2514 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4757 loss: 1.4757 2022/08/04 07:30:44 - mmengine - INFO - Epoch(train) [98][40/1879] lr: 1.0000e-02 eta: 1 day, 11:49:25 time: 0.4392 data_time: 0.0176 memory: 17087 grad_norm: 5.2660 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4836 loss: 1.4836 2022/08/04 07:30:53 - mmengine - INFO - Epoch(train) [98][60/1879] lr: 1.0000e-02 eta: 1 day, 11:49:16 time: 0.4273 data_time: 0.0139 memory: 17087 grad_norm: 5.4027 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.7366 loss: 1.7366 2022/08/04 07:31:02 - mmengine - INFO - Epoch(train) [98][80/1879] lr: 1.0000e-02 eta: 1 day, 11:49:08 time: 0.4277 data_time: 0.0162 memory: 17087 grad_norm: 5.3113 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4082 loss: 1.4082 2022/08/04 07:31:11 - mmengine - INFO - Epoch(train) [98][100/1879] lr: 1.0000e-02 eta: 1 day, 11:49:00 time: 0.4516 data_time: 0.0132 memory: 17087 grad_norm: 5.2753 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2641 loss: 1.2641 2022/08/04 07:31:19 - mmengine - INFO - Epoch(train) [98][120/1879] lr: 1.0000e-02 eta: 1 day, 11:48:51 time: 0.4281 data_time: 0.0170 memory: 17087 grad_norm: 5.2757 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3783 loss: 1.3783 2022/08/04 07:31:28 - mmengine - INFO - Epoch(train) [98][140/1879] lr: 1.0000e-02 eta: 1 day, 11:48:43 time: 0.4554 data_time: 0.0147 memory: 17087 grad_norm: 5.3922 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5701 loss: 1.5701 2022/08/04 07:31:37 - mmengine - INFO - Epoch(train) [98][160/1879] lr: 1.0000e-02 eta: 1 day, 11:48:34 time: 0.4289 data_time: 0.0200 memory: 17087 grad_norm: 5.3638 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.6475 loss: 1.6475 2022/08/04 07:31:46 - mmengine - INFO - Epoch(train) [98][180/1879] lr: 1.0000e-02 eta: 1 day, 11:48:27 time: 0.4639 data_time: 0.0187 memory: 17087 grad_norm: 5.1810 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5557 loss: 1.5557 2022/08/04 07:31:55 - mmengine - INFO - Epoch(train) [98][200/1879] lr: 1.0000e-02 eta: 1 day, 11:48:18 time: 0.4328 data_time: 0.0214 memory: 17087 grad_norm: 5.2512 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4931 loss: 1.4931 2022/08/04 07:32:03 - mmengine - INFO - Epoch(train) [98][220/1879] lr: 1.0000e-02 eta: 1 day, 11:48:09 time: 0.4314 data_time: 0.0151 memory: 17087 grad_norm: 5.5025 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4647 loss: 1.4647 2022/08/04 07:32:12 - mmengine - INFO - Epoch(train) [98][240/1879] lr: 1.0000e-02 eta: 1 day, 11:48:01 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 5.2099 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5439 loss: 1.5439 2022/08/04 07:32:21 - mmengine - INFO - Epoch(train) [98][260/1879] lr: 1.0000e-02 eta: 1 day, 11:47:52 time: 0.4263 data_time: 0.0152 memory: 17087 grad_norm: 5.4943 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4510 loss: 1.4510 2022/08/04 07:32:29 - mmengine - INFO - Epoch(train) [98][280/1879] lr: 1.0000e-02 eta: 1 day, 11:47:43 time: 0.4268 data_time: 0.0175 memory: 17087 grad_norm: 5.3134 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5682 loss: 1.5682 2022/08/04 07:32:38 - mmengine - INFO - Epoch(train) [98][300/1879] lr: 1.0000e-02 eta: 1 day, 11:47:35 time: 0.4425 data_time: 0.0161 memory: 17087 grad_norm: 5.2291 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4384 loss: 1.4384 2022/08/04 07:32:46 - mmengine - INFO - Epoch(train) [98][320/1879] lr: 1.0000e-02 eta: 1 day, 11:47:26 time: 0.4270 data_time: 0.0160 memory: 17087 grad_norm: 5.4049 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2066 loss: 1.2066 2022/08/04 07:32:56 - mmengine - INFO - Epoch(train) [98][340/1879] lr: 1.0000e-02 eta: 1 day, 11:47:18 time: 0.4530 data_time: 0.0164 memory: 17087 grad_norm: 5.2658 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5396 loss: 1.5396 2022/08/04 07:33:04 - mmengine - INFO - Epoch(train) [98][360/1879] lr: 1.0000e-02 eta: 1 day, 11:47:09 time: 0.4277 data_time: 0.0164 memory: 17087 grad_norm: 5.4302 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6495 loss: 1.6495 2022/08/04 07:33:13 - mmengine - INFO - Epoch(train) [98][380/1879] lr: 1.0000e-02 eta: 1 day, 11:47:00 time: 0.4315 data_time: 0.0135 memory: 17087 grad_norm: 5.2599 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3961 loss: 1.3961 2022/08/04 07:33:21 - mmengine - INFO - Epoch(train) [98][400/1879] lr: 1.0000e-02 eta: 1 day, 11:46:52 time: 0.4261 data_time: 0.0159 memory: 17087 grad_norm: 5.4282 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6309 loss: 1.6309 2022/08/04 07:33:30 - mmengine - INFO - Epoch(train) [98][420/1879] lr: 1.0000e-02 eta: 1 day, 11:46:43 time: 0.4256 data_time: 0.0138 memory: 17087 grad_norm: 5.3196 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4398 loss: 1.4398 2022/08/04 07:33:39 - mmengine - INFO - Epoch(train) [98][440/1879] lr: 1.0000e-02 eta: 1 day, 11:46:36 time: 0.4720 data_time: 0.0180 memory: 17087 grad_norm: 5.3659 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5327 loss: 1.5327 2022/08/04 07:33:48 - mmengine - INFO - Epoch(train) [98][460/1879] lr: 1.0000e-02 eta: 1 day, 11:46:27 time: 0.4257 data_time: 0.0142 memory: 17087 grad_norm: 5.4945 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5493 loss: 1.5493 2022/08/04 07:33:57 - mmengine - INFO - Epoch(train) [98][480/1879] lr: 1.0000e-02 eta: 1 day, 11:46:19 time: 0.4573 data_time: 0.0165 memory: 17087 grad_norm: 5.3700 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5221 loss: 1.5221 2022/08/04 07:34:06 - mmengine - INFO - Epoch(train) [98][500/1879] lr: 1.0000e-02 eta: 1 day, 11:46:10 time: 0.4275 data_time: 0.0157 memory: 17087 grad_norm: 5.2422 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.6183 loss: 1.6183 2022/08/04 07:34:14 - mmengine - INFO - Epoch(train) [98][520/1879] lr: 1.0000e-02 eta: 1 day, 11:46:01 time: 0.4315 data_time: 0.0163 memory: 17087 grad_norm: 5.3978 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4371 loss: 1.4371 2022/08/04 07:34:23 - mmengine - INFO - Epoch(train) [98][540/1879] lr: 1.0000e-02 eta: 1 day, 11:45:53 time: 0.4373 data_time: 0.0150 memory: 17087 grad_norm: 5.5073 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.5489 loss: 1.5489 2022/08/04 07:34:31 - mmengine - INFO - Epoch(train) [98][560/1879] lr: 1.0000e-02 eta: 1 day, 11:45:44 time: 0.4274 data_time: 0.0167 memory: 17087 grad_norm: 5.4720 top1_acc: 0.3750 top5_acc: 0.8125 loss_cls: 1.4271 loss: 1.4271 2022/08/04 07:34:40 - mmengine - INFO - Epoch(train) [98][580/1879] lr: 1.0000e-02 eta: 1 day, 11:45:35 time: 0.4275 data_time: 0.0142 memory: 17087 grad_norm: 5.3893 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4625 loss: 1.4625 2022/08/04 07:34:49 - mmengine - INFO - Epoch(train) [98][600/1879] lr: 1.0000e-02 eta: 1 day, 11:45:28 time: 0.4583 data_time: 0.0200 memory: 17087 grad_norm: 5.3453 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5410 loss: 1.5410 2022/08/04 07:34:58 - mmengine - INFO - Epoch(train) [98][620/1879] lr: 1.0000e-02 eta: 1 day, 11:45:19 time: 0.4274 data_time: 0.0140 memory: 17087 grad_norm: 5.3707 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5047 loss: 1.5047 2022/08/04 07:35:06 - mmengine - INFO - Epoch(train) [98][640/1879] lr: 1.0000e-02 eta: 1 day, 11:45:10 time: 0.4324 data_time: 0.0155 memory: 17087 grad_norm: 5.5098 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.6463 loss: 1.6463 2022/08/04 07:35:15 - mmengine - INFO - Epoch(train) [98][660/1879] lr: 1.0000e-02 eta: 1 day, 11:45:02 time: 0.4332 data_time: 0.0172 memory: 17087 grad_norm: 5.5421 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5217 loss: 1.5217 2022/08/04 07:35:24 - mmengine - INFO - Epoch(train) [98][680/1879] lr: 1.0000e-02 eta: 1 day, 11:44:53 time: 0.4338 data_time: 0.0162 memory: 17087 grad_norm: 5.3351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3815 loss: 1.3815 2022/08/04 07:35:33 - mmengine - INFO - Epoch(train) [98][700/1879] lr: 1.0000e-02 eta: 1 day, 11:44:45 time: 0.4360 data_time: 0.0137 memory: 17087 grad_norm: 5.4175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.6034 loss: 1.6034 2022/08/04 07:35:41 - mmengine - INFO - Epoch(train) [98][720/1879] lr: 1.0000e-02 eta: 1 day, 11:44:36 time: 0.4294 data_time: 0.0172 memory: 17087 grad_norm: 5.5138 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5215 loss: 1.5215 2022/08/04 07:35:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 07:35:50 - mmengine - INFO - Epoch(train) [98][740/1879] lr: 1.0000e-02 eta: 1 day, 11:44:28 time: 0.4386 data_time: 0.0172 memory: 17087 grad_norm: 5.4286 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3470 loss: 1.3470 2022/08/04 07:35:59 - mmengine - INFO - Epoch(train) [98][760/1879] lr: 1.0000e-02 eta: 1 day, 11:44:19 time: 0.4291 data_time: 0.0161 memory: 17087 grad_norm: 5.5079 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5123 loss: 1.5123 2022/08/04 07:36:07 - mmengine - INFO - Epoch(train) [98][780/1879] lr: 1.0000e-02 eta: 1 day, 11:44:10 time: 0.4279 data_time: 0.0169 memory: 17087 grad_norm: 5.4662 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5057 loss: 1.5057 2022/08/04 07:36:16 - mmengine - INFO - Epoch(train) [98][800/1879] lr: 1.0000e-02 eta: 1 day, 11:44:01 time: 0.4287 data_time: 0.0164 memory: 17087 grad_norm: 5.4150 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.4935 loss: 1.4935 2022/08/04 07:36:25 - mmengine - INFO - Epoch(train) [98][820/1879] lr: 1.0000e-02 eta: 1 day, 11:43:53 time: 0.4510 data_time: 0.0158 memory: 17087 grad_norm: 5.3417 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4833 loss: 1.4833 2022/08/04 07:36:33 - mmengine - INFO - Epoch(train) [98][840/1879] lr: 1.0000e-02 eta: 1 day, 11:43:45 time: 0.4266 data_time: 0.0165 memory: 17087 grad_norm: 5.4327 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5206 loss: 1.5206 2022/08/04 07:36:42 - mmengine - INFO - Epoch(train) [98][860/1879] lr: 1.0000e-02 eta: 1 day, 11:43:37 time: 0.4538 data_time: 0.0142 memory: 17087 grad_norm: 5.4977 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4083 loss: 1.4083 2022/08/04 07:36:51 - mmengine - INFO - Epoch(train) [98][880/1879] lr: 1.0000e-02 eta: 1 day, 11:43:28 time: 0.4267 data_time: 0.0154 memory: 17087 grad_norm: 5.3978 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5070 loss: 1.5070 2022/08/04 07:37:00 - mmengine - INFO - Epoch(train) [98][900/1879] lr: 1.0000e-02 eta: 1 day, 11:43:19 time: 0.4300 data_time: 0.0157 memory: 17087 grad_norm: 5.3007 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4446 loss: 1.4446 2022/08/04 07:37:08 - mmengine - INFO - Epoch(train) [98][920/1879] lr: 1.0000e-02 eta: 1 day, 11:43:10 time: 0.4270 data_time: 0.0153 memory: 17087 grad_norm: 5.2888 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4570 loss: 1.4570 2022/08/04 07:37:17 - mmengine - INFO - Epoch(train) [98][940/1879] lr: 1.0000e-02 eta: 1 day, 11:43:02 time: 0.4522 data_time: 0.0159 memory: 17087 grad_norm: 5.5863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4592 loss: 1.4592 2022/08/04 07:37:26 - mmengine - INFO - Epoch(train) [98][960/1879] lr: 1.0000e-02 eta: 1 day, 11:42:54 time: 0.4272 data_time: 0.0170 memory: 17087 grad_norm: 5.5470 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3842 loss: 1.3842 2022/08/04 07:37:34 - mmengine - INFO - Epoch(train) [98][980/1879] lr: 1.0000e-02 eta: 1 day, 11:42:45 time: 0.4299 data_time: 0.0160 memory: 17087 grad_norm: 5.4514 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6311 loss: 1.6311 2022/08/04 07:37:43 - mmengine - INFO - Epoch(train) [98][1000/1879] lr: 1.0000e-02 eta: 1 day, 11:42:36 time: 0.4289 data_time: 0.0166 memory: 17087 grad_norm: 5.4174 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4884 loss: 1.4884 2022/08/04 07:37:51 - mmengine - INFO - Epoch(train) [98][1020/1879] lr: 1.0000e-02 eta: 1 day, 11:42:27 time: 0.4265 data_time: 0.0140 memory: 17087 grad_norm: 5.3805 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6918 loss: 1.6918 2022/08/04 07:38:00 - mmengine - INFO - Epoch(train) [98][1040/1879] lr: 1.0000e-02 eta: 1 day, 11:42:19 time: 0.4338 data_time: 0.0164 memory: 17087 grad_norm: 5.4339 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5421 loss: 1.5421 2022/08/04 07:38:09 - mmengine - INFO - Epoch(train) [98][1060/1879] lr: 1.0000e-02 eta: 1 day, 11:42:10 time: 0.4239 data_time: 0.0139 memory: 17087 grad_norm: 5.1698 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4169 loss: 1.4169 2022/08/04 07:38:18 - mmengine - INFO - Epoch(train) [98][1080/1879] lr: 1.0000e-02 eta: 1 day, 11:42:02 time: 0.4540 data_time: 0.0194 memory: 17087 grad_norm: 5.2754 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.6237 loss: 1.6237 2022/08/04 07:38:26 - mmengine - INFO - Epoch(train) [98][1100/1879] lr: 1.0000e-02 eta: 1 day, 11:41:53 time: 0.4263 data_time: 0.0134 memory: 17087 grad_norm: 5.4989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4278 loss: 1.4278 2022/08/04 07:38:35 - mmengine - INFO - Epoch(train) [98][1120/1879] lr: 1.0000e-02 eta: 1 day, 11:41:45 time: 0.4440 data_time: 0.0163 memory: 17087 grad_norm: 5.3317 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4902 loss: 1.4902 2022/08/04 07:38:44 - mmengine - INFO - Epoch(train) [98][1140/1879] lr: 1.0000e-02 eta: 1 day, 11:41:36 time: 0.4283 data_time: 0.0149 memory: 17087 grad_norm: 5.3071 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4265 loss: 1.4265 2022/08/04 07:38:52 - mmengine - INFO - Epoch(train) [98][1160/1879] lr: 1.0000e-02 eta: 1 day, 11:41:27 time: 0.4276 data_time: 0.0165 memory: 17087 grad_norm: 5.3650 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5489 loss: 1.5489 2022/08/04 07:39:01 - mmengine - INFO - Epoch(train) [98][1180/1879] lr: 1.0000e-02 eta: 1 day, 11:41:19 time: 0.4426 data_time: 0.0171 memory: 17087 grad_norm: 5.3361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3412 loss: 1.3412 2022/08/04 07:39:10 - mmengine - INFO - Epoch(train) [98][1200/1879] lr: 1.0000e-02 eta: 1 day, 11:41:10 time: 0.4278 data_time: 0.0175 memory: 17087 grad_norm: 5.3620 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5923 loss: 1.5923 2022/08/04 07:39:18 - mmengine - INFO - Epoch(train) [98][1220/1879] lr: 1.0000e-02 eta: 1 day, 11:41:02 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 5.5061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5054 loss: 1.5054 2022/08/04 07:39:27 - mmengine - INFO - Epoch(train) [98][1240/1879] lr: 1.0000e-02 eta: 1 day, 11:40:53 time: 0.4361 data_time: 0.0166 memory: 17087 grad_norm: 5.3682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4638 loss: 1.4638 2022/08/04 07:39:36 - mmengine - INFO - Epoch(train) [98][1260/1879] lr: 1.0000e-02 eta: 1 day, 11:40:45 time: 0.4532 data_time: 0.0139 memory: 17087 grad_norm: 5.4998 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4546 loss: 1.4546 2022/08/04 07:39:45 - mmengine - INFO - Epoch(train) [98][1280/1879] lr: 1.0000e-02 eta: 1 day, 11:40:37 time: 0.4278 data_time: 0.0165 memory: 17087 grad_norm: 5.4792 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5006 loss: 1.5006 2022/08/04 07:39:53 - mmengine - INFO - Epoch(train) [98][1300/1879] lr: 1.0000e-02 eta: 1 day, 11:40:28 time: 0.4362 data_time: 0.0134 memory: 17087 grad_norm: 5.4512 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5113 loss: 1.5113 2022/08/04 07:40:02 - mmengine - INFO - Epoch(train) [98][1320/1879] lr: 1.0000e-02 eta: 1 day, 11:40:19 time: 0.4291 data_time: 0.0167 memory: 17087 grad_norm: 5.4931 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.6433 loss: 1.6433 2022/08/04 07:40:11 - mmengine - INFO - Epoch(train) [98][1340/1879] lr: 1.0000e-02 eta: 1 day, 11:40:11 time: 0.4289 data_time: 0.0150 memory: 17087 grad_norm: 5.3820 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3285 loss: 1.3285 2022/08/04 07:40:19 - mmengine - INFO - Epoch(train) [98][1360/1879] lr: 1.0000e-02 eta: 1 day, 11:40:02 time: 0.4306 data_time: 0.0172 memory: 17087 grad_norm: 5.4825 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.6823 loss: 1.6823 2022/08/04 07:40:28 - mmengine - INFO - Epoch(train) [98][1380/1879] lr: 1.0000e-02 eta: 1 day, 11:39:53 time: 0.4256 data_time: 0.0124 memory: 17087 grad_norm: 5.3244 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3752 loss: 1.3752 2022/08/04 07:40:37 - mmengine - INFO - Epoch(train) [98][1400/1879] lr: 1.0000e-02 eta: 1 day, 11:39:46 time: 0.4750 data_time: 0.0171 memory: 17087 grad_norm: 5.3570 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4374 loss: 1.4374 2022/08/04 07:40:46 - mmengine - INFO - Epoch(train) [98][1420/1879] lr: 1.0000e-02 eta: 1 day, 11:39:37 time: 0.4267 data_time: 0.0145 memory: 17087 grad_norm: 5.5013 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.7281 loss: 1.7281 2022/08/04 07:40:55 - mmengine - INFO - Epoch(train) [98][1440/1879] lr: 1.0000e-02 eta: 1 day, 11:39:29 time: 0.4575 data_time: 0.0181 memory: 17087 grad_norm: 5.3675 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4265 loss: 1.4265 2022/08/04 07:41:04 - mmengine - INFO - Epoch(train) [98][1460/1879] lr: 1.0000e-02 eta: 1 day, 11:39:20 time: 0.4258 data_time: 0.0156 memory: 17087 grad_norm: 5.2710 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3683 loss: 1.3683 2022/08/04 07:41:12 - mmengine - INFO - Epoch(train) [98][1480/1879] lr: 1.0000e-02 eta: 1 day, 11:39:12 time: 0.4271 data_time: 0.0160 memory: 17087 grad_norm: 5.3128 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4662 loss: 1.4662 2022/08/04 07:41:21 - mmengine - INFO - Epoch(train) [98][1500/1879] lr: 1.0000e-02 eta: 1 day, 11:39:04 time: 0.4502 data_time: 0.0158 memory: 17087 grad_norm: 5.3700 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5313 loss: 1.5313 2022/08/04 07:41:30 - mmengine - INFO - Epoch(train) [98][1520/1879] lr: 1.0000e-02 eta: 1 day, 11:38:55 time: 0.4266 data_time: 0.0160 memory: 17087 grad_norm: 5.2200 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5499 loss: 1.5499 2022/08/04 07:41:39 - mmengine - INFO - Epoch(train) [98][1540/1879] lr: 1.0000e-02 eta: 1 day, 11:38:47 time: 0.4673 data_time: 0.0138 memory: 17087 grad_norm: 5.4408 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5000 loss: 1.5000 2022/08/04 07:41:48 - mmengine - INFO - Epoch(train) [98][1560/1879] lr: 1.0000e-02 eta: 1 day, 11:38:39 time: 0.4294 data_time: 0.0163 memory: 17087 grad_norm: 5.5115 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5343 loss: 1.5343 2022/08/04 07:41:56 - mmengine - INFO - Epoch(train) [98][1580/1879] lr: 1.0000e-02 eta: 1 day, 11:38:30 time: 0.4324 data_time: 0.0141 memory: 17087 grad_norm: 5.6374 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5693 loss: 1.5693 2022/08/04 07:42:06 - mmengine - INFO - Epoch(train) [98][1600/1879] lr: 1.0000e-02 eta: 1 day, 11:38:23 time: 0.4772 data_time: 0.0161 memory: 17087 grad_norm: 5.4307 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.6718 loss: 1.6718 2022/08/04 07:42:14 - mmengine - INFO - Epoch(train) [98][1620/1879] lr: 1.0000e-02 eta: 1 day, 11:38:14 time: 0.4261 data_time: 0.0140 memory: 17087 grad_norm: 5.3361 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5381 loss: 1.5381 2022/08/04 07:42:23 - mmengine - INFO - Epoch(train) [98][1640/1879] lr: 1.0000e-02 eta: 1 day, 11:38:05 time: 0.4333 data_time: 0.0224 memory: 17087 grad_norm: 5.5284 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.5548 loss: 1.5548 2022/08/04 07:42:32 - mmengine - INFO - Epoch(train) [98][1660/1879] lr: 1.0000e-02 eta: 1 day, 11:37:57 time: 0.4345 data_time: 0.0158 memory: 17087 grad_norm: 5.5907 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5610 loss: 1.5610 2022/08/04 07:42:40 - mmengine - INFO - Epoch(train) [98][1680/1879] lr: 1.0000e-02 eta: 1 day, 11:37:48 time: 0.4297 data_time: 0.0153 memory: 17087 grad_norm: 5.2846 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3555 loss: 1.3555 2022/08/04 07:42:49 - mmengine - INFO - Epoch(train) [98][1700/1879] lr: 1.0000e-02 eta: 1 day, 11:37:40 time: 0.4543 data_time: 0.0152 memory: 17087 grad_norm: 5.4909 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5284 loss: 1.5284 2022/08/04 07:42:58 - mmengine - INFO - Epoch(train) [98][1720/1879] lr: 1.0000e-02 eta: 1 day, 11:37:32 time: 0.4351 data_time: 0.0174 memory: 17087 grad_norm: 5.2779 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5391 loss: 1.5391 2022/08/04 07:43:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 07:43:07 - mmengine - INFO - Epoch(train) [98][1740/1879] lr: 1.0000e-02 eta: 1 day, 11:37:24 time: 0.4622 data_time: 0.0178 memory: 17087 grad_norm: 5.2458 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2617 loss: 1.2617 2022/08/04 07:43:16 - mmengine - INFO - Epoch(train) [98][1760/1879] lr: 1.0000e-02 eta: 1 day, 11:37:15 time: 0.4293 data_time: 0.0161 memory: 17087 grad_norm: 5.3868 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5641 loss: 1.5641 2022/08/04 07:43:25 - mmengine - INFO - Epoch(train) [98][1780/1879] lr: 1.0000e-02 eta: 1 day, 11:37:07 time: 0.4430 data_time: 0.0152 memory: 17087 grad_norm: 5.2205 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4607 loss: 1.4607 2022/08/04 07:43:33 - mmengine - INFO - Epoch(train) [98][1800/1879] lr: 1.0000e-02 eta: 1 day, 11:36:58 time: 0.4291 data_time: 0.0155 memory: 17087 grad_norm: 5.3711 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.6068 loss: 1.6068 2022/08/04 07:43:42 - mmengine - INFO - Epoch(train) [98][1820/1879] lr: 1.0000e-02 eta: 1 day, 11:36:50 time: 0.4262 data_time: 0.0144 memory: 17087 grad_norm: 5.2916 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3612 loss: 1.3612 2022/08/04 07:43:51 - mmengine - INFO - Epoch(train) [98][1840/1879] lr: 1.0000e-02 eta: 1 day, 11:36:41 time: 0.4347 data_time: 0.0166 memory: 17087 grad_norm: 5.5571 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.4230 loss: 1.4230 2022/08/04 07:43:59 - mmengine - INFO - Epoch(train) [98][1860/1879] lr: 1.0000e-02 eta: 1 day, 11:36:32 time: 0.4272 data_time: 0.0158 memory: 17087 grad_norm: 5.4949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.7931 loss: 1.7931 2022/08/04 07:44:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 07:44:08 - mmengine - INFO - Epoch(train) [98][1879/1879] lr: 1.0000e-02 eta: 1 day, 11:36:32 time: 0.4523 data_time: 0.0180 memory: 17087 grad_norm: 5.5627 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.3854 loss: 1.3854 2022/08/04 07:44:19 - mmengine - INFO - Epoch(train) [99][20/1879] lr: 1.0000e-02 eta: 1 day, 11:36:06 time: 0.5628 data_time: 0.1247 memory: 17087 grad_norm: 5.2431 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.6084 loss: 1.6084 2022/08/04 07:44:28 - mmengine - INFO - Epoch(train) [99][40/1879] lr: 1.0000e-02 eta: 1 day, 11:35:58 time: 0.4540 data_time: 0.0179 memory: 17087 grad_norm: 5.3426 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1734 loss: 1.1734 2022/08/04 07:44:37 - mmengine - INFO - Epoch(train) [99][60/1879] lr: 1.0000e-02 eta: 1 day, 11:35:50 time: 0.4271 data_time: 0.0159 memory: 17087 grad_norm: 5.2447 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2837 loss: 1.2837 2022/08/04 07:44:46 - mmengine - INFO - Epoch(train) [99][80/1879] lr: 1.0000e-02 eta: 1 day, 11:35:42 time: 0.4593 data_time: 0.0209 memory: 17087 grad_norm: 5.3180 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5437 loss: 1.5437 2022/08/04 07:44:55 - mmengine - INFO - Epoch(train) [99][100/1879] lr: 1.0000e-02 eta: 1 day, 11:35:33 time: 0.4268 data_time: 0.0138 memory: 17087 grad_norm: 5.2380 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.3529 loss: 1.3529 2022/08/04 07:45:03 - mmengine - INFO - Epoch(train) [99][120/1879] lr: 1.0000e-02 eta: 1 day, 11:35:25 time: 0.4331 data_time: 0.0250 memory: 17087 grad_norm: 5.1988 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2689 loss: 1.2689 2022/08/04 07:45:12 - mmengine - INFO - Epoch(train) [99][140/1879] lr: 1.0000e-02 eta: 1 day, 11:35:16 time: 0.4291 data_time: 0.0156 memory: 17087 grad_norm: 5.4647 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4340 loss: 1.4340 2022/08/04 07:45:21 - mmengine - INFO - Epoch(train) [99][160/1879] lr: 1.0000e-02 eta: 1 day, 11:35:08 time: 0.4470 data_time: 0.0231 memory: 17087 grad_norm: 5.4858 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.5337 loss: 1.5337 2022/08/04 07:45:30 - mmengine - INFO - Epoch(train) [99][180/1879] lr: 1.0000e-02 eta: 1 day, 11:35:00 time: 0.4545 data_time: 0.0202 memory: 17087 grad_norm: 5.4811 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5293 loss: 1.5293 2022/08/04 07:45:39 - mmengine - INFO - Epoch(train) [99][200/1879] lr: 1.0000e-02 eta: 1 day, 11:34:51 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 5.3158 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4794 loss: 1.4794 2022/08/04 07:45:48 - mmengine - INFO - Epoch(train) [99][220/1879] lr: 1.0000e-02 eta: 1 day, 11:34:43 time: 0.4638 data_time: 0.0169 memory: 17087 grad_norm: 5.2427 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3857 loss: 1.3857 2022/08/04 07:45:57 - mmengine - INFO - Epoch(train) [99][240/1879] lr: 1.0000e-02 eta: 1 day, 11:34:35 time: 0.4339 data_time: 0.0163 memory: 17087 grad_norm: 5.3932 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2432 loss: 1.2432 2022/08/04 07:46:06 - mmengine - INFO - Epoch(train) [99][260/1879] lr: 1.0000e-02 eta: 1 day, 11:34:27 time: 0.4569 data_time: 0.0205 memory: 17087 grad_norm: 5.4009 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5394 loss: 1.5394 2022/08/04 07:46:14 - mmengine - INFO - Epoch(train) [99][280/1879] lr: 1.0000e-02 eta: 1 day, 11:34:18 time: 0.4274 data_time: 0.0157 memory: 17087 grad_norm: 5.3770 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3200 loss: 1.3200 2022/08/04 07:46:23 - mmengine - INFO - Epoch(train) [99][300/1879] lr: 1.0000e-02 eta: 1 day, 11:34:10 time: 0.4313 data_time: 0.0187 memory: 17087 grad_norm: 5.4575 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4595 loss: 1.4595 2022/08/04 07:46:31 - mmengine - INFO - Epoch(train) [99][320/1879] lr: 1.0000e-02 eta: 1 day, 11:34:01 time: 0.4302 data_time: 0.0170 memory: 17087 grad_norm: 5.2829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2796 loss: 1.2796 2022/08/04 07:46:40 - mmengine - INFO - Epoch(train) [99][340/1879] lr: 1.0000e-02 eta: 1 day, 11:33:52 time: 0.4263 data_time: 0.0142 memory: 17087 grad_norm: 5.3418 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4150 loss: 1.4150 2022/08/04 07:46:49 - mmengine - INFO - Epoch(train) [99][360/1879] lr: 1.0000e-02 eta: 1 day, 11:33:44 time: 0.4431 data_time: 0.0180 memory: 17087 grad_norm: 5.4761 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4490 loss: 1.4490 2022/08/04 07:46:57 - mmengine - INFO - Epoch(train) [99][380/1879] lr: 1.0000e-02 eta: 1 day, 11:33:35 time: 0.4262 data_time: 0.0130 memory: 17087 grad_norm: 5.3149 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5288 loss: 1.5288 2022/08/04 07:47:06 - mmengine - INFO - Epoch(train) [99][400/1879] lr: 1.0000e-02 eta: 1 day, 11:33:26 time: 0.4307 data_time: 0.0189 memory: 17087 grad_norm: 5.4968 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4689 loss: 1.4689 2022/08/04 07:47:15 - mmengine - INFO - Epoch(train) [99][420/1879] lr: 1.0000e-02 eta: 1 day, 11:33:18 time: 0.4542 data_time: 0.0199 memory: 17087 grad_norm: 5.4874 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.6016 loss: 1.6016 2022/08/04 07:47:24 - mmengine - INFO - Epoch(train) [99][440/1879] lr: 1.0000e-02 eta: 1 day, 11:33:10 time: 0.4340 data_time: 0.0183 memory: 17087 grad_norm: 5.3683 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5789 loss: 1.5789 2022/08/04 07:47:32 - mmengine - INFO - Epoch(train) [99][460/1879] lr: 1.0000e-02 eta: 1 day, 11:33:01 time: 0.4329 data_time: 0.0134 memory: 17087 grad_norm: 5.5242 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6377 loss: 1.6377 2022/08/04 07:47:41 - mmengine - INFO - Epoch(train) [99][480/1879] lr: 1.0000e-02 eta: 1 day, 11:32:53 time: 0.4322 data_time: 0.0156 memory: 17087 grad_norm: 5.4897 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.5549 loss: 1.5549 2022/08/04 07:47:50 - mmengine - INFO - Epoch(train) [99][500/1879] lr: 1.0000e-02 eta: 1 day, 11:32:44 time: 0.4313 data_time: 0.0162 memory: 17087 grad_norm: 5.3836 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.4418 loss: 1.4418 2022/08/04 07:47:59 - mmengine - INFO - Epoch(train) [99][520/1879] lr: 1.0000e-02 eta: 1 day, 11:32:36 time: 0.4419 data_time: 0.0162 memory: 17087 grad_norm: 5.4563 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4552 loss: 1.4552 2022/08/04 07:48:07 - mmengine - INFO - Epoch(train) [99][540/1879] lr: 1.0000e-02 eta: 1 day, 11:32:27 time: 0.4282 data_time: 0.0158 memory: 17087 grad_norm: 5.4651 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5241 loss: 1.5241 2022/08/04 07:48:16 - mmengine - INFO - Epoch(train) [99][560/1879] lr: 1.0000e-02 eta: 1 day, 11:32:19 time: 0.4455 data_time: 0.0173 memory: 17087 grad_norm: 5.3650 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4655 loss: 1.4655 2022/08/04 07:48:25 - mmengine - INFO - Epoch(train) [99][580/1879] lr: 1.0000e-02 eta: 1 day, 11:32:10 time: 0.4283 data_time: 0.0155 memory: 17087 grad_norm: 5.2931 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5104 loss: 1.5104 2022/08/04 07:48:33 - mmengine - INFO - Epoch(train) [99][600/1879] lr: 1.0000e-02 eta: 1 day, 11:32:01 time: 0.4274 data_time: 0.0160 memory: 17087 grad_norm: 5.3544 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.4343 loss: 1.4343 2022/08/04 07:48:42 - mmengine - INFO - Epoch(train) [99][620/1879] lr: 1.0000e-02 eta: 1 day, 11:31:53 time: 0.4386 data_time: 0.0147 memory: 17087 grad_norm: 5.4420 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.7268 loss: 1.7268 2022/08/04 07:48:51 - mmengine - INFO - Epoch(train) [99][640/1879] lr: 1.0000e-02 eta: 1 day, 11:31:44 time: 0.4345 data_time: 0.0198 memory: 17087 grad_norm: 5.3965 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4764 loss: 1.4764 2022/08/04 07:48:59 - mmengine - INFO - Epoch(train) [99][660/1879] lr: 1.0000e-02 eta: 1 day, 11:31:36 time: 0.4316 data_time: 0.0134 memory: 17087 grad_norm: 5.4293 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.3833 loss: 1.3833 2022/08/04 07:49:08 - mmengine - INFO - Epoch(train) [99][680/1879] lr: 1.0000e-02 eta: 1 day, 11:31:27 time: 0.4354 data_time: 0.0187 memory: 17087 grad_norm: 5.3700 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4526 loss: 1.4526 2022/08/04 07:49:17 - mmengine - INFO - Epoch(train) [99][700/1879] lr: 1.0000e-02 eta: 1 day, 11:31:18 time: 0.4287 data_time: 0.0136 memory: 17087 grad_norm: 5.6257 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3585 loss: 1.3585 2022/08/04 07:49:26 - mmengine - INFO - Epoch(train) [99][720/1879] lr: 1.0000e-02 eta: 1 day, 11:31:10 time: 0.4465 data_time: 0.0174 memory: 17087 grad_norm: 5.5264 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4479 loss: 1.4479 2022/08/04 07:49:34 - mmengine - INFO - Epoch(train) [99][740/1879] lr: 1.0000e-02 eta: 1 day, 11:31:02 time: 0.4341 data_time: 0.0153 memory: 17087 grad_norm: 5.3753 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.5992 loss: 1.5992 2022/08/04 07:49:43 - mmengine - INFO - Epoch(train) [99][760/1879] lr: 1.0000e-02 eta: 1 day, 11:30:53 time: 0.4317 data_time: 0.0213 memory: 17087 grad_norm: 5.3906 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4586 loss: 1.4586 2022/08/04 07:49:52 - mmengine - INFO - Epoch(train) [99][780/1879] lr: 1.0000e-02 eta: 1 day, 11:30:44 time: 0.4255 data_time: 0.0140 memory: 17087 grad_norm: 5.3344 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.4600 loss: 1.4600 2022/08/04 07:50:00 - mmengine - INFO - Epoch(train) [99][800/1879] lr: 1.0000e-02 eta: 1 day, 11:30:36 time: 0.4399 data_time: 0.0163 memory: 17087 grad_norm: 5.4447 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.5306 loss: 1.5306 2022/08/04 07:50:09 - mmengine - INFO - Epoch(train) [99][820/1879] lr: 1.0000e-02 eta: 1 day, 11:30:27 time: 0.4247 data_time: 0.0132 memory: 17087 grad_norm: 5.3807 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5138 loss: 1.5138 2022/08/04 07:50:18 - mmengine - INFO - Epoch(train) [99][840/1879] lr: 1.0000e-02 eta: 1 day, 11:30:19 time: 0.4582 data_time: 0.0176 memory: 17087 grad_norm: 5.2873 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3544 loss: 1.3544 2022/08/04 07:50:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 07:50:27 - mmengine - INFO - Epoch(train) [99][860/1879] lr: 1.0000e-02 eta: 1 day, 11:30:10 time: 0.4263 data_time: 0.0136 memory: 17087 grad_norm: 5.4893 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4977 loss: 1.4977 2022/08/04 07:50:35 - mmengine - INFO - Epoch(train) [99][880/1879] lr: 1.0000e-02 eta: 1 day, 11:30:02 time: 0.4373 data_time: 0.0156 memory: 17087 grad_norm: 5.2861 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.5726 loss: 1.5726 2022/08/04 07:50:44 - mmengine - INFO - Epoch(train) [99][900/1879] lr: 1.0000e-02 eta: 1 day, 11:29:53 time: 0.4271 data_time: 0.0144 memory: 17087 grad_norm: 5.4293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4665 loss: 1.4665 2022/08/04 07:50:52 - mmengine - INFO - Epoch(train) [99][920/1879] lr: 1.0000e-02 eta: 1 day, 11:29:44 time: 0.4275 data_time: 0.0151 memory: 17087 grad_norm: 5.4378 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.4817 loss: 1.4817 2022/08/04 07:51:02 - mmengine - INFO - Epoch(train) [99][940/1879] lr: 1.0000e-02 eta: 1 day, 11:29:37 time: 0.4716 data_time: 0.0160 memory: 17087 grad_norm: 5.3047 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3353 loss: 1.3353 2022/08/04 07:51:10 - mmengine - INFO - Epoch(train) [99][960/1879] lr: 1.0000e-02 eta: 1 day, 11:29:28 time: 0.4298 data_time: 0.0178 memory: 17087 grad_norm: 5.4356 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.6039 loss: 1.6039 2022/08/04 07:51:19 - mmengine - INFO - Epoch(train) [99][980/1879] lr: 1.0000e-02 eta: 1 day, 11:29:20 time: 0.4301 data_time: 0.0145 memory: 17087 grad_norm: 5.3621 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4054 loss: 1.4054 2022/08/04 07:51:28 - mmengine - INFO - Epoch(train) [99][1000/1879] lr: 1.0000e-02 eta: 1 day, 11:29:11 time: 0.4281 data_time: 0.0157 memory: 17087 grad_norm: 5.4014 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3803 loss: 1.3803 2022/08/04 07:51:36 - mmengine - INFO - Epoch(train) [99][1020/1879] lr: 1.0000e-02 eta: 1 day, 11:29:02 time: 0.4316 data_time: 0.0142 memory: 17087 grad_norm: 5.4602 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4139 loss: 1.4139 2022/08/04 07:51:45 - mmengine - INFO - Epoch(train) [99][1040/1879] lr: 1.0000e-02 eta: 1 day, 11:28:53 time: 0.4262 data_time: 0.0174 memory: 17087 grad_norm: 5.2340 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4121 loss: 1.4121 2022/08/04 07:51:53 - mmengine - INFO - Epoch(train) [99][1060/1879] lr: 1.0000e-02 eta: 1 day, 11:28:45 time: 0.4258 data_time: 0.0144 memory: 17087 grad_norm: 5.5320 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5719 loss: 1.5719 2022/08/04 07:52:02 - mmengine - INFO - Epoch(train) [99][1080/1879] lr: 1.0000e-02 eta: 1 day, 11:28:37 time: 0.4493 data_time: 0.0174 memory: 17087 grad_norm: 5.4572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3730 loss: 1.3730 2022/08/04 07:52:11 - mmengine - INFO - Epoch(train) [99][1100/1879] lr: 1.0000e-02 eta: 1 day, 11:28:28 time: 0.4251 data_time: 0.0141 memory: 17087 grad_norm: 5.4078 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6147 loss: 1.6147 2022/08/04 07:52:20 - mmengine - INFO - Epoch(train) [99][1120/1879] lr: 1.0000e-02 eta: 1 day, 11:28:19 time: 0.4355 data_time: 0.0160 memory: 17087 grad_norm: 5.4976 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4312 loss: 1.4312 2022/08/04 07:52:28 - mmengine - INFO - Epoch(train) [99][1140/1879] lr: 1.0000e-02 eta: 1 day, 11:28:10 time: 0.4285 data_time: 0.0147 memory: 17087 grad_norm: 5.4270 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2882 loss: 1.2882 2022/08/04 07:52:37 - mmengine - INFO - Epoch(train) [99][1160/1879] lr: 1.0000e-02 eta: 1 day, 11:28:02 time: 0.4409 data_time: 0.0189 memory: 17087 grad_norm: 5.5352 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5858 loss: 1.5858 2022/08/04 07:52:46 - mmengine - INFO - Epoch(train) [99][1180/1879] lr: 1.0000e-02 eta: 1 day, 11:27:53 time: 0.4263 data_time: 0.0153 memory: 17087 grad_norm: 5.2820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.6529 loss: 1.6529 2022/08/04 07:52:54 - mmengine - INFO - Epoch(train) [99][1200/1879] lr: 1.0000e-02 eta: 1 day, 11:27:45 time: 0.4279 data_time: 0.0153 memory: 17087 grad_norm: 5.4719 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5748 loss: 1.5748 2022/08/04 07:53:03 - mmengine - INFO - Epoch(train) [99][1220/1879] lr: 1.0000e-02 eta: 1 day, 11:27:37 time: 0.4551 data_time: 0.0153 memory: 17087 grad_norm: 5.4253 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3433 loss: 1.3433 2022/08/04 07:53:12 - mmengine - INFO - Epoch(train) [99][1240/1879] lr: 1.0000e-02 eta: 1 day, 11:27:28 time: 0.4282 data_time: 0.0164 memory: 17087 grad_norm: 5.3731 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5870 loss: 1.5870 2022/08/04 07:53:21 - mmengine - INFO - Epoch(train) [99][1260/1879] lr: 1.0000e-02 eta: 1 day, 11:27:20 time: 0.4586 data_time: 0.0173 memory: 17087 grad_norm: 5.3738 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4572 loss: 1.4572 2022/08/04 07:53:30 - mmengine - INFO - Epoch(train) [99][1280/1879] lr: 1.0000e-02 eta: 1 day, 11:27:12 time: 0.4395 data_time: 0.0185 memory: 17087 grad_norm: 5.3978 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4675 loss: 1.4675 2022/08/04 07:53:38 - mmengine - INFO - Epoch(train) [99][1300/1879] lr: 1.0000e-02 eta: 1 day, 11:27:03 time: 0.4288 data_time: 0.0154 memory: 17087 grad_norm: 5.3657 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3609 loss: 1.3609 2022/08/04 07:53:47 - mmengine - INFO - Epoch(train) [99][1320/1879] lr: 1.0000e-02 eta: 1 day, 11:26:55 time: 0.4513 data_time: 0.0199 memory: 17087 grad_norm: 5.4455 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4551 loss: 1.4551 2022/08/04 07:53:56 - mmengine - INFO - Epoch(train) [99][1340/1879] lr: 1.0000e-02 eta: 1 day, 11:26:46 time: 0.4325 data_time: 0.0139 memory: 17087 grad_norm: 5.5040 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3673 loss: 1.3673 2022/08/04 07:54:05 - mmengine - INFO - Epoch(train) [99][1360/1879] lr: 1.0000e-02 eta: 1 day, 11:26:38 time: 0.4342 data_time: 0.0206 memory: 17087 grad_norm: 5.4710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5169 loss: 1.5169 2022/08/04 07:54:13 - mmengine - INFO - Epoch(train) [99][1380/1879] lr: 1.0000e-02 eta: 1 day, 11:26:29 time: 0.4286 data_time: 0.0133 memory: 17087 grad_norm: 5.3112 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3784 loss: 1.3784 2022/08/04 07:54:22 - mmengine - INFO - Epoch(train) [99][1400/1879] lr: 1.0000e-02 eta: 1 day, 11:26:20 time: 0.4292 data_time: 0.0164 memory: 17087 grad_norm: 5.3805 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5054 loss: 1.5054 2022/08/04 07:54:31 - mmengine - INFO - Epoch(train) [99][1420/1879] lr: 1.0000e-02 eta: 1 day, 11:26:13 time: 0.4640 data_time: 0.0150 memory: 17087 grad_norm: 5.4132 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.7501 loss: 1.7501 2022/08/04 07:54:40 - mmengine - INFO - Epoch(train) [99][1440/1879] lr: 1.0000e-02 eta: 1 day, 11:26:04 time: 0.4349 data_time: 0.0245 memory: 17087 grad_norm: 5.3483 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4336 loss: 1.4336 2022/08/04 07:54:49 - mmengine - INFO - Epoch(train) [99][1460/1879] lr: 1.0000e-02 eta: 1 day, 11:25:56 time: 0.4334 data_time: 0.0153 memory: 17087 grad_norm: 5.3483 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5839 loss: 1.5839 2022/08/04 07:54:57 - mmengine - INFO - Epoch(train) [99][1480/1879] lr: 1.0000e-02 eta: 1 day, 11:25:47 time: 0.4277 data_time: 0.0171 memory: 17087 grad_norm: 5.4341 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.3729 loss: 1.3729 2022/08/04 07:55:06 - mmengine - INFO - Epoch(train) [99][1500/1879] lr: 1.0000e-02 eta: 1 day, 11:25:39 time: 0.4415 data_time: 0.0144 memory: 17087 grad_norm: 5.4448 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.4719 loss: 1.4719 2022/08/04 07:55:15 - mmengine - INFO - Epoch(train) [99][1520/1879] lr: 1.0000e-02 eta: 1 day, 11:25:30 time: 0.4293 data_time: 0.0163 memory: 17087 grad_norm: 5.4518 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4713 loss: 1.4713 2022/08/04 07:55:23 - mmengine - INFO - Epoch(train) [99][1540/1879] lr: 1.0000e-02 eta: 1 day, 11:25:21 time: 0.4279 data_time: 0.0139 memory: 17087 grad_norm: 5.3349 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4236 loss: 1.4236 2022/08/04 07:55:32 - mmengine - INFO - Epoch(train) [99][1560/1879] lr: 1.0000e-02 eta: 1 day, 11:25:13 time: 0.4580 data_time: 0.0175 memory: 17087 grad_norm: 5.4248 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.6415 loss: 1.6415 2022/08/04 07:55:41 - mmengine - INFO - Epoch(train) [99][1580/1879] lr: 1.0000e-02 eta: 1 day, 11:25:04 time: 0.4273 data_time: 0.0144 memory: 17087 grad_norm: 5.2882 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5062 loss: 1.5062 2022/08/04 07:55:50 - mmengine - INFO - Epoch(train) [99][1600/1879] lr: 1.0000e-02 eta: 1 day, 11:24:56 time: 0.4330 data_time: 0.0162 memory: 17087 grad_norm: 5.6100 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.5333 loss: 1.5333 2022/08/04 07:55:58 - mmengine - INFO - Epoch(train) [99][1620/1879] lr: 1.0000e-02 eta: 1 day, 11:24:47 time: 0.4249 data_time: 0.0137 memory: 17087 grad_norm: 5.5570 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6618 loss: 1.6618 2022/08/04 07:56:07 - mmengine - INFO - Epoch(train) [99][1640/1879] lr: 1.0000e-02 eta: 1 day, 11:24:39 time: 0.4381 data_time: 0.0182 memory: 17087 grad_norm: 5.4898 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5408 loss: 1.5408 2022/08/04 07:56:15 - mmengine - INFO - Epoch(train) [99][1660/1879] lr: 1.0000e-02 eta: 1 day, 11:24:30 time: 0.4283 data_time: 0.0148 memory: 17087 grad_norm: 5.2931 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4277 loss: 1.4277 2022/08/04 07:56:24 - mmengine - INFO - Epoch(train) [99][1680/1879] lr: 1.0000e-02 eta: 1 day, 11:24:21 time: 0.4273 data_time: 0.0154 memory: 17087 grad_norm: 5.5214 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.5047 loss: 1.5047 2022/08/04 07:56:33 - mmengine - INFO - Epoch(train) [99][1700/1879] lr: 1.0000e-02 eta: 1 day, 11:24:13 time: 0.4570 data_time: 0.0163 memory: 17087 grad_norm: 5.3420 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.5424 loss: 1.5424 2022/08/04 07:56:42 - mmengine - INFO - Epoch(train) [99][1720/1879] lr: 1.0000e-02 eta: 1 day, 11:24:04 time: 0.4283 data_time: 0.0160 memory: 17087 grad_norm: 5.4984 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5806 loss: 1.5806 2022/08/04 07:56:51 - mmengine - INFO - Epoch(train) [99][1740/1879] lr: 1.0000e-02 eta: 1 day, 11:23:56 time: 0.4407 data_time: 0.0185 memory: 17087 grad_norm: 5.4480 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.7082 loss: 1.7082 2022/08/04 07:56:59 - mmengine - INFO - Epoch(train) [99][1760/1879] lr: 1.0000e-02 eta: 1 day, 11:23:47 time: 0.4280 data_time: 0.0158 memory: 17087 grad_norm: 5.3610 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.6393 loss: 1.6393 2022/08/04 07:57:08 - mmengine - INFO - Epoch(train) [99][1780/1879] lr: 1.0000e-02 eta: 1 day, 11:23:39 time: 0.4411 data_time: 0.0143 memory: 17087 grad_norm: 5.2637 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4359 loss: 1.4359 2022/08/04 07:57:17 - mmengine - INFO - Epoch(train) [99][1800/1879] lr: 1.0000e-02 eta: 1 day, 11:23:30 time: 0.4278 data_time: 0.0157 memory: 17087 grad_norm: 5.3650 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.3095 loss: 1.3095 2022/08/04 07:57:25 - mmengine - INFO - Epoch(train) [99][1820/1879] lr: 1.0000e-02 eta: 1 day, 11:23:22 time: 0.4400 data_time: 0.0164 memory: 17087 grad_norm: 5.4456 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4630 loss: 1.4630 2022/08/04 07:57:34 - mmengine - INFO - Epoch(train) [99][1840/1879] lr: 1.0000e-02 eta: 1 day, 11:23:13 time: 0.4267 data_time: 0.0164 memory: 17087 grad_norm: 5.5249 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5450 loss: 1.5450 2022/08/04 07:57:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 07:57:43 - mmengine - INFO - Epoch(train) [99][1860/1879] lr: 1.0000e-02 eta: 1 day, 11:23:05 time: 0.4329 data_time: 0.0165 memory: 17087 grad_norm: 5.5399 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5752 loss: 1.5752 2022/08/04 07:57:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 07:57:50 - mmengine - INFO - Epoch(train) [99][1879/1879] lr: 1.0000e-02 eta: 1 day, 11:23:05 time: 0.4090 data_time: 0.0143 memory: 17087 grad_norm: 5.5588 top1_acc: 0.2857 top5_acc: 0.4286 loss_cls: 1.5976 loss: 1.5976 2022/08/04 07:58:02 - mmengine - INFO - Epoch(train) [100][20/1879] lr: 1.0000e-02 eta: 1 day, 11:22:39 time: 0.5686 data_time: 0.1408 memory: 17087 grad_norm: 5.3513 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.5210 loss: 1.5210 2022/08/04 07:58:11 - mmengine - INFO - Epoch(train) [100][40/1879] lr: 1.0000e-02 eta: 1 day, 11:22:31 time: 0.4450 data_time: 0.0204 memory: 17087 grad_norm: 5.2983 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4540 loss: 1.4540 2022/08/04 07:58:19 - mmengine - INFO - Epoch(train) [100][60/1879] lr: 1.0000e-02 eta: 1 day, 11:22:22 time: 0.4288 data_time: 0.0160 memory: 17087 grad_norm: 5.1706 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2803 loss: 1.2803 2022/08/04 07:58:29 - mmengine - INFO - Epoch(train) [100][80/1879] lr: 1.0000e-02 eta: 1 day, 11:22:15 time: 0.4758 data_time: 0.0178 memory: 17087 grad_norm: 5.3791 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5587 loss: 1.5587 2022/08/04 07:58:37 - mmengine - INFO - Epoch(train) [100][100/1879] lr: 1.0000e-02 eta: 1 day, 11:22:06 time: 0.4318 data_time: 0.0152 memory: 17087 grad_norm: 5.2921 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5123 loss: 1.5123 2022/08/04 07:58:46 - mmengine - INFO - Epoch(train) [100][120/1879] lr: 1.0000e-02 eta: 1 day, 11:21:57 time: 0.4279 data_time: 0.0159 memory: 17087 grad_norm: 5.4904 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4743 loss: 1.4743 2022/08/04 07:58:55 - mmengine - INFO - Epoch(train) [100][140/1879] lr: 1.0000e-02 eta: 1 day, 11:21:49 time: 0.4248 data_time: 0.0143 memory: 17087 grad_norm: 5.3954 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 1.4744 loss: 1.4744 2022/08/04 07:59:04 - mmengine - INFO - Epoch(train) [100][160/1879] lr: 1.0000e-02 eta: 1 day, 11:21:41 time: 0.4537 data_time: 0.0161 memory: 17087 grad_norm: 5.3608 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4814 loss: 1.4814 2022/08/04 07:59:12 - mmengine - INFO - Epoch(train) [100][180/1879] lr: 1.0000e-02 eta: 1 day, 11:21:32 time: 0.4278 data_time: 0.0147 memory: 17087 grad_norm: 5.4072 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.4341 loss: 1.4341 2022/08/04 07:59:21 - mmengine - INFO - Epoch(train) [100][200/1879] lr: 1.0000e-02 eta: 1 day, 11:21:24 time: 0.4532 data_time: 0.0150 memory: 17087 grad_norm: 5.2994 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.4599 loss: 1.4599 2022/08/04 07:59:30 - mmengine - INFO - Epoch(train) [100][220/1879] lr: 1.0000e-02 eta: 1 day, 11:21:15 time: 0.4261 data_time: 0.0145 memory: 17087 grad_norm: 5.3780 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3890 loss: 1.3890 2022/08/04 07:59:39 - mmengine - INFO - Epoch(train) [100][240/1879] lr: 1.0000e-02 eta: 1 day, 11:21:07 time: 0.4494 data_time: 0.0186 memory: 17087 grad_norm: 5.4952 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4734 loss: 1.4734 2022/08/04 07:59:47 - mmengine - INFO - Epoch(train) [100][260/1879] lr: 1.0000e-02 eta: 1 day, 11:20:58 time: 0.4290 data_time: 0.0158 memory: 17087 grad_norm: 5.3940 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6630 loss: 1.6630 2022/08/04 07:59:56 - mmengine - INFO - Epoch(train) [100][280/1879] lr: 1.0000e-02 eta: 1 day, 11:20:50 time: 0.4290 data_time: 0.0184 memory: 17087 grad_norm: 5.3702 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4286 loss: 1.4286 2022/08/04 08:00:05 - mmengine - INFO - Epoch(train) [100][300/1879] lr: 1.0000e-02 eta: 1 day, 11:20:41 time: 0.4273 data_time: 0.0157 memory: 17087 grad_norm: 5.4116 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3235 loss: 1.3235 2022/08/04 08:00:13 - mmengine - INFO - Epoch(train) [100][320/1879] lr: 1.0000e-02 eta: 1 day, 11:20:32 time: 0.4284 data_time: 0.0160 memory: 17087 grad_norm: 5.4469 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3652 loss: 1.3652 2022/08/04 08:00:22 - mmengine - INFO - Epoch(train) [100][340/1879] lr: 1.0000e-02 eta: 1 day, 11:20:24 time: 0.4507 data_time: 0.0148 memory: 17087 grad_norm: 5.4487 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5725 loss: 1.5725 2022/08/04 08:00:31 - mmengine - INFO - Epoch(train) [100][360/1879] lr: 1.0000e-02 eta: 1 day, 11:20:15 time: 0.4302 data_time: 0.0172 memory: 17087 grad_norm: 5.4718 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5838 loss: 1.5838 2022/08/04 08:00:39 - mmengine - INFO - Epoch(train) [100][380/1879] lr: 1.0000e-02 eta: 1 day, 11:20:07 time: 0.4351 data_time: 0.0144 memory: 17087 grad_norm: 5.4440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4775 loss: 1.4775 2022/08/04 08:00:48 - mmengine - INFO - Epoch(train) [100][400/1879] lr: 1.0000e-02 eta: 1 day, 11:19:58 time: 0.4388 data_time: 0.0196 memory: 17087 grad_norm: 5.2201 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3846 loss: 1.3846 2022/08/04 08:00:57 - mmengine - INFO - Epoch(train) [100][420/1879] lr: 1.0000e-02 eta: 1 day, 11:19:50 time: 0.4319 data_time: 0.0161 memory: 17087 grad_norm: 5.3992 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.6584 loss: 1.6584 2022/08/04 08:01:06 - mmengine - INFO - Epoch(train) [100][440/1879] lr: 1.0000e-02 eta: 1 day, 11:19:41 time: 0.4314 data_time: 0.0150 memory: 17087 grad_norm: 5.3745 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 1.5843 loss: 1.5843 2022/08/04 08:01:14 - mmengine - INFO - Epoch(train) [100][460/1879] lr: 1.0000e-02 eta: 1 day, 11:19:32 time: 0.4267 data_time: 0.0144 memory: 17087 grad_norm: 5.5634 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5546 loss: 1.5546 2022/08/04 08:01:23 - mmengine - INFO - Epoch(train) [100][480/1879] lr: 1.0000e-02 eta: 1 day, 11:19:24 time: 0.4288 data_time: 0.0156 memory: 17087 grad_norm: 5.4809 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.4310 loss: 1.4310 2022/08/04 08:01:31 - mmengine - INFO - Epoch(train) [100][500/1879] lr: 1.0000e-02 eta: 1 day, 11:19:15 time: 0.4306 data_time: 0.0160 memory: 17087 grad_norm: 5.4022 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5377 loss: 1.5377 2022/08/04 08:01:40 - mmengine - INFO - Epoch(train) [100][520/1879] lr: 1.0000e-02 eta: 1 day, 11:19:07 time: 0.4409 data_time: 0.0175 memory: 17087 grad_norm: 5.5472 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.6463 loss: 1.6463 2022/08/04 08:01:49 - mmengine - INFO - Epoch(train) [100][540/1879] lr: 1.0000e-02 eta: 1 day, 11:18:58 time: 0.4380 data_time: 0.0161 memory: 17087 grad_norm: 5.4048 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.4229 loss: 1.4229 2022/08/04 08:01:57 - mmengine - INFO - Epoch(train) [100][560/1879] lr: 1.0000e-02 eta: 1 day, 11:18:49 time: 0.4282 data_time: 0.0158 memory: 17087 grad_norm: 5.4661 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4068 loss: 1.4068 2022/08/04 08:02:07 - mmengine - INFO - Epoch(train) [100][580/1879] lr: 1.0000e-02 eta: 1 day, 11:18:41 time: 0.4500 data_time: 0.0174 memory: 17087 grad_norm: 5.4383 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4726 loss: 1.4726 2022/08/04 08:02:15 - mmengine - INFO - Epoch(train) [100][600/1879] lr: 1.0000e-02 eta: 1 day, 11:18:32 time: 0.4258 data_time: 0.0160 memory: 17087 grad_norm: 5.3894 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.3080 loss: 1.3080 2022/08/04 08:02:24 - mmengine - INFO - Epoch(train) [100][620/1879] lr: 1.0000e-02 eta: 1 day, 11:18:24 time: 0.4244 data_time: 0.0136 memory: 17087 grad_norm: 5.4577 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.6695 loss: 1.6695 2022/08/04 08:02:32 - mmengine - INFO - Epoch(train) [100][640/1879] lr: 1.0000e-02 eta: 1 day, 11:18:15 time: 0.4352 data_time: 0.0161 memory: 17087 grad_norm: 5.3664 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4245 loss: 1.4245 2022/08/04 08:02:41 - mmengine - INFO - Epoch(train) [100][660/1879] lr: 1.0000e-02 eta: 1 day, 11:18:06 time: 0.4284 data_time: 0.0142 memory: 17087 grad_norm: 5.6449 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4559 loss: 1.4559 2022/08/04 08:02:50 - mmengine - INFO - Epoch(train) [100][680/1879] lr: 1.0000e-02 eta: 1 day, 11:17:58 time: 0.4374 data_time: 0.0163 memory: 17087 grad_norm: 5.4322 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3778 loss: 1.3778 2022/08/04 08:02:58 - mmengine - INFO - Epoch(train) [100][700/1879] lr: 1.0000e-02 eta: 1 day, 11:17:49 time: 0.4371 data_time: 0.0146 memory: 17087 grad_norm: 5.3784 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.4510 loss: 1.4510 2022/08/04 08:03:07 - mmengine - INFO - Epoch(train) [100][720/1879] lr: 1.0000e-02 eta: 1 day, 11:17:41 time: 0.4331 data_time: 0.0179 memory: 17087 grad_norm: 5.2444 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.4078 loss: 1.4078 2022/08/04 08:03:16 - mmengine - INFO - Epoch(train) [100][740/1879] lr: 1.0000e-02 eta: 1 day, 11:17:32 time: 0.4266 data_time: 0.0147 memory: 17087 grad_norm: 5.3608 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.4721 loss: 1.4721 2022/08/04 08:03:24 - mmengine - INFO - Epoch(train) [100][760/1879] lr: 1.0000e-02 eta: 1 day, 11:17:23 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 5.3222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.4379 loss: 1.4379 2022/08/04 08:03:33 - mmengine - INFO - Epoch(train) [100][780/1879] lr: 1.0000e-02 eta: 1 day, 11:17:15 time: 0.4571 data_time: 0.0143 memory: 17087 grad_norm: 5.3437 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.4309 loss: 1.4309 2022/08/04 08:03:42 - mmengine - INFO - Epoch(train) [100][800/1879] lr: 1.0000e-02 eta: 1 day, 11:17:07 time: 0.4289 data_time: 0.0164 memory: 17087 grad_norm: 5.5194 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.4323 loss: 1.4323 2022/08/04 08:03:51 - mmengine - INFO - Epoch(train) [100][820/1879] lr: 1.0000e-02 eta: 1 day, 11:16:58 time: 0.4330 data_time: 0.0157 memory: 17087 grad_norm: 5.3831 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 1.4491 loss: 1.4491 2022/08/04 08:03:59 - mmengine - INFO - Epoch(train) [100][840/1879] lr: 1.0000e-02 eta: 1 day, 11:16:49 time: 0.4273 data_time: 0.0163 memory: 17087 grad_norm: 5.2640 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4406 loss: 1.4406 2022/08/04 08:04:08 - mmengine - INFO - Epoch(train) [100][860/1879] lr: 1.0000e-02 eta: 1 day, 11:16:41 time: 0.4446 data_time: 0.0157 memory: 17087 grad_norm: 5.5114 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5211 loss: 1.5211 2022/08/04 08:04:17 - mmengine - INFO - Epoch(train) [100][880/1879] lr: 1.0000e-02 eta: 1 day, 11:16:33 time: 0.4353 data_time: 0.0175 memory: 17087 grad_norm: 5.5100 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4709 loss: 1.4709 2022/08/04 08:04:25 - mmengine - INFO - Epoch(train) [100][900/1879] lr: 1.0000e-02 eta: 1 day, 11:16:24 time: 0.4262 data_time: 0.0149 memory: 17087 grad_norm: 5.3331 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5597 loss: 1.5597 2022/08/04 08:04:34 - mmengine - INFO - Epoch(train) [100][920/1879] lr: 1.0000e-02 eta: 1 day, 11:16:15 time: 0.4344 data_time: 0.0159 memory: 17087 grad_norm: 5.4497 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.6456 loss: 1.6456 2022/08/04 08:04:42 - mmengine - INFO - Epoch(train) [100][940/1879] lr: 1.0000e-02 eta: 1 day, 11:16:06 time: 0.4280 data_time: 0.0157 memory: 17087 grad_norm: 5.5145 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4348 loss: 1.4348 2022/08/04 08:04:51 - mmengine - INFO - Epoch(train) [100][960/1879] lr: 1.0000e-02 eta: 1 day, 11:15:58 time: 0.4398 data_time: 0.0158 memory: 17087 grad_norm: 5.5702 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.5215 loss: 1.5215 2022/08/04 08:04:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 08:05:00 - mmengine - INFO - Epoch(train) [100][980/1879] lr: 1.0000e-02 eta: 1 day, 11:15:49 time: 0.4279 data_time: 0.0158 memory: 17087 grad_norm: 5.2503 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5470 loss: 1.5470 2022/08/04 08:05:09 - mmengine - INFO - Epoch(train) [100][1000/1879] lr: 1.0000e-02 eta: 1 day, 11:15:41 time: 0.4320 data_time: 0.0152 memory: 17087 grad_norm: 5.5154 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.5589 loss: 1.5589 2022/08/04 08:05:17 - mmengine - INFO - Epoch(train) [100][1020/1879] lr: 1.0000e-02 eta: 1 day, 11:15:32 time: 0.4261 data_time: 0.0163 memory: 17087 grad_norm: 5.2332 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2814 loss: 1.2814 2022/08/04 08:05:26 - mmengine - INFO - Epoch(train) [100][1040/1879] lr: 1.0000e-02 eta: 1 day, 11:15:23 time: 0.4282 data_time: 0.0161 memory: 17087 grad_norm: 5.6637 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5057 loss: 1.5057 2022/08/04 08:05:34 - mmengine - INFO - Epoch(train) [100][1060/1879] lr: 1.0000e-02 eta: 1 day, 11:15:14 time: 0.4287 data_time: 0.0148 memory: 17087 grad_norm: 5.2953 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3256 loss: 1.3256 2022/08/04 08:05:43 - mmengine - INFO - Epoch(train) [100][1080/1879] lr: 1.0000e-02 eta: 1 day, 11:15:06 time: 0.4514 data_time: 0.0149 memory: 17087 grad_norm: 5.3407 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5257 loss: 1.5257 2022/08/04 08:05:52 - mmengine - INFO - Epoch(train) [100][1100/1879] lr: 1.0000e-02 eta: 1 day, 11:14:58 time: 0.4267 data_time: 0.0149 memory: 17087 grad_norm: 5.3746 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4668 loss: 1.4668 2022/08/04 08:06:00 - mmengine - INFO - Epoch(train) [100][1120/1879] lr: 1.0000e-02 eta: 1 day, 11:14:49 time: 0.4284 data_time: 0.0152 memory: 17087 grad_norm: 5.4957 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.5360 loss: 1.5360 2022/08/04 08:06:09 - mmengine - INFO - Epoch(train) [100][1140/1879] lr: 1.0000e-02 eta: 1 day, 11:14:40 time: 0.4285 data_time: 0.0151 memory: 17087 grad_norm: 5.5011 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4256 loss: 1.4256 2022/08/04 08:06:18 - mmengine - INFO - Epoch(train) [100][1160/1879] lr: 1.0000e-02 eta: 1 day, 11:14:32 time: 0.4659 data_time: 0.0164 memory: 17087 grad_norm: 5.4575 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4865 loss: 1.4865 2022/08/04 08:06:27 - mmengine - INFO - Epoch(train) [100][1180/1879] lr: 1.0000e-02 eta: 1 day, 11:14:24 time: 0.4267 data_time: 0.0160 memory: 17087 grad_norm: 5.4578 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.5315 loss: 1.5315 2022/08/04 08:06:35 - mmengine - INFO - Epoch(train) [100][1200/1879] lr: 1.0000e-02 eta: 1 day, 11:14:15 time: 0.4288 data_time: 0.0156 memory: 17087 grad_norm: 5.3932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.7255 loss: 1.7255 2022/08/04 08:06:44 - mmengine - INFO - Epoch(train) [100][1220/1879] lr: 1.0000e-02 eta: 1 day, 11:14:06 time: 0.4288 data_time: 0.0142 memory: 17087 grad_norm: 5.5620 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.5334 loss: 1.5334 2022/08/04 08:06:53 - mmengine - INFO - Epoch(train) [100][1240/1879] lr: 1.0000e-02 eta: 1 day, 11:13:58 time: 0.4381 data_time: 0.0165 memory: 17087 grad_norm: 5.4947 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.6512 loss: 1.6512 2022/08/04 08:07:01 - mmengine - INFO - Epoch(train) [100][1260/1879] lr: 1.0000e-02 eta: 1 day, 11:13:49 time: 0.4274 data_time: 0.0155 memory: 17087 grad_norm: 5.3961 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3663 loss: 1.3663 2022/08/04 08:07:10 - mmengine - INFO - Epoch(train) [100][1280/1879] lr: 1.0000e-02 eta: 1 day, 11:13:41 time: 0.4384 data_time: 0.0178 memory: 17087 grad_norm: 5.3506 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4356 loss: 1.4356 2022/08/04 08:07:19 - mmengine - INFO - Epoch(train) [100][1300/1879] lr: 1.0000e-02 eta: 1 day, 11:13:32 time: 0.4280 data_time: 0.0150 memory: 17087 grad_norm: 5.4839 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.4334 loss: 1.4334 2022/08/04 08:07:27 - mmengine - INFO - Epoch(train) [100][1320/1879] lr: 1.0000e-02 eta: 1 day, 11:13:23 time: 0.4330 data_time: 0.0212 memory: 17087 grad_norm: 5.4296 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.6978 loss: 1.6978 2022/08/04 08:07:36 - mmengine - INFO - Epoch(train) [100][1340/1879] lr: 1.0000e-02 eta: 1 day, 11:13:15 time: 0.4314 data_time: 0.0147 memory: 17087 grad_norm: 5.3470 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.6621 loss: 1.6621 2022/08/04 08:07:45 - mmengine - INFO - Epoch(train) [100][1360/1879] lr: 1.0000e-02 eta: 1 day, 11:13:06 time: 0.4276 data_time: 0.0164 memory: 17087 grad_norm: 5.3600 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.5161 loss: 1.5161 2022/08/04 08:07:53 - mmengine - INFO - Epoch(train) [100][1380/1879] lr: 1.0000e-02 eta: 1 day, 11:12:57 time: 0.4283 data_time: 0.0155 memory: 17087 grad_norm: 5.4846 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3232 loss: 1.3232 2022/08/04 08:08:02 - mmengine - INFO - Epoch(train) [100][1400/1879] lr: 1.0000e-02 eta: 1 day, 11:12:48 time: 0.4281 data_time: 0.0153 memory: 17087 grad_norm: 5.2033 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4049 loss: 1.4049 2022/08/04 08:08:11 - mmengine - INFO - Epoch(train) [100][1420/1879] lr: 1.0000e-02 eta: 1 day, 11:12:40 time: 0.4435 data_time: 0.0140 memory: 17087 grad_norm: 5.2155 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.5199 loss: 1.5199 2022/08/04 08:08:19 - mmengine - INFO - Epoch(train) [100][1440/1879] lr: 1.0000e-02 eta: 1 day, 11:12:31 time: 0.4309 data_time: 0.0182 memory: 17087 grad_norm: 5.4944 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5763 loss: 1.5763 2022/08/04 08:08:28 - mmengine - INFO - Epoch(train) [100][1460/1879] lr: 1.0000e-02 eta: 1 day, 11:12:23 time: 0.4515 data_time: 0.0138 memory: 17087 grad_norm: 5.4088 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5485 loss: 1.5485 2022/08/04 08:08:37 - mmengine - INFO - Epoch(train) [100][1480/1879] lr: 1.0000e-02 eta: 1 day, 11:12:15 time: 0.4329 data_time: 0.0210 memory: 17087 grad_norm: 5.2421 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3134 loss: 1.3134 2022/08/04 08:08:46 - mmengine - INFO - Epoch(train) [100][1500/1879] lr: 1.0000e-02 eta: 1 day, 11:12:06 time: 0.4270 data_time: 0.0147 memory: 17087 grad_norm: 5.1969 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.4408 loss: 1.4408 2022/08/04 08:08:55 - mmengine - INFO - Epoch(train) [100][1520/1879] lr: 1.0000e-02 eta: 1 day, 11:11:58 time: 0.4637 data_time: 0.0166 memory: 17087 grad_norm: 5.4741 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.5195 loss: 1.5195 2022/08/04 08:09:03 - mmengine - INFO - Epoch(train) [100][1540/1879] lr: 1.0000e-02 eta: 1 day, 11:11:50 time: 0.4261 data_time: 0.0155 memory: 17087 grad_norm: 5.2611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4906 loss: 1.4906 2022/08/04 08:09:12 - mmengine - INFO - Epoch(train) [100][1560/1879] lr: 1.0000e-02 eta: 1 day, 11:11:42 time: 0.4553 data_time: 0.0165 memory: 17087 grad_norm: 5.3989 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.4522 loss: 1.4522 2022/08/04 08:09:21 - mmengine - INFO - Epoch(train) [100][1580/1879] lr: 1.0000e-02 eta: 1 day, 11:11:33 time: 0.4286 data_time: 0.0155 memory: 17087 grad_norm: 5.3832 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.4411 loss: 1.4411 2022/08/04 08:09:30 - mmengine - INFO - Epoch(train) [100][1600/1879] lr: 1.0000e-02 eta: 1 day, 11:11:24 time: 0.4274 data_time: 0.0163 memory: 17087 grad_norm: 5.4118 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5165 loss: 1.5165 2022/08/04 08:09:38 - mmengine - INFO - Epoch(train) [100][1620/1879] lr: 1.0000e-02 eta: 1 day, 11:11:16 time: 0.4345 data_time: 0.0197 memory: 17087 grad_norm: 5.3503 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4428 loss: 1.4428 2022/08/04 08:09:47 - mmengine - INFO - Epoch(train) [100][1640/1879] lr: 1.0000e-02 eta: 1 day, 11:11:07 time: 0.4376 data_time: 0.0147 memory: 17087 grad_norm: 5.5556 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.4751 loss: 1.4751 2022/08/04 08:09:56 - mmengine - INFO - Epoch(train) [100][1660/1879] lr: 1.0000e-02 eta: 1 day, 11:10:58 time: 0.4255 data_time: 0.0148 memory: 17087 grad_norm: 5.4743 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3740 loss: 1.3740 2022/08/04 08:10:05 - mmengine - INFO - Epoch(train) [100][1680/1879] lr: 1.0000e-02 eta: 1 day, 11:10:51 time: 0.4666 data_time: 0.0163 memory: 17087 grad_norm: 5.4478 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.4181 loss: 1.4181 2022/08/04 08:10:13 - mmengine - INFO - Epoch(train) [100][1700/1879] lr: 1.0000e-02 eta: 1 day, 11:10:42 time: 0.4272 data_time: 0.0147 memory: 17087 grad_norm: 5.4197 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5102 loss: 1.5102 2022/08/04 08:10:23 - mmengine - INFO - Epoch(train) [100][1720/1879] lr: 1.0000e-02 eta: 1 day, 11:10:34 time: 0.4560 data_time: 0.0154 memory: 17087 grad_norm: 5.3247 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.5605 loss: 1.5605 2022/08/04 08:10:31 - mmengine - INFO - Epoch(train) [100][1740/1879] lr: 1.0000e-02 eta: 1 day, 11:10:25 time: 0.4296 data_time: 0.0168 memory: 17087 grad_norm: 5.3286 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.5775 loss: 1.5775 2022/08/04 08:10:40 - mmengine - INFO - Epoch(train) [100][1760/1879] lr: 1.0000e-02 eta: 1 day, 11:10:17 time: 0.4442 data_time: 0.0162 memory: 17087 grad_norm: 5.4883 top1_acc: 0.5625 top5_acc: 0.5625 loss_cls: 1.6830 loss: 1.6830 2022/08/04 08:10:49 - mmengine - INFO - Epoch(train) [100][1780/1879] lr: 1.0000e-02 eta: 1 day, 11:10:08 time: 0.4272 data_time: 0.0146 memory: 17087 grad_norm: 5.3641 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.4757 loss: 1.4757 2022/08/04 08:10:57 - mmengine - INFO - Epoch(train) [100][1800/1879] lr: 1.0000e-02 eta: 1 day, 11:10:00 time: 0.4312 data_time: 0.0163 memory: 17087 grad_norm: 5.6171 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.5420 loss: 1.5420 2022/08/04 08:11:06 - mmengine - INFO - Epoch(train) [100][1820/1879] lr: 1.0000e-02 eta: 1 day, 11:09:51 time: 0.4288 data_time: 0.0156 memory: 17087 grad_norm: 5.5427 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.5976 loss: 1.5976 2022/08/04 08:11:14 - mmengine - INFO - Epoch(train) [100][1840/1879] lr: 1.0000e-02 eta: 1 day, 11:09:42 time: 0.4273 data_time: 0.0152 memory: 17087 grad_norm: 5.4040 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.4381 loss: 1.4381 2022/08/04 08:11:23 - mmengine - INFO - Epoch(train) [100][1860/1879] lr: 1.0000e-02 eta: 1 day, 11:09:33 time: 0.4264 data_time: 0.0155 memory: 17087 grad_norm: 5.3518 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.5919 loss: 1.5919 2022/08/04 08:11:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 08:11:31 - mmengine - INFO - Epoch(train) [100][1879/1879] lr: 1.0000e-02 eta: 1 day, 11:09:33 time: 0.4450 data_time: 0.0154 memory: 17087 grad_norm: 5.5417 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 1.5093 loss: 1.5093 2022/08/04 08:11:32 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/04 08:11:43 - mmengine - INFO - Epoch(val) [100][20/155] eta: 0:00:51 time: 0.3818 data_time: 0.2152 memory: 2821 2022/08/04 08:11:48 - mmengine - INFO - Epoch(val) [100][40/155] eta: 0:00:30 time: 0.2637 data_time: 0.0964 memory: 2821 2022/08/04 08:11:54 - mmengine - INFO - Epoch(val) [100][60/155] eta: 0:00:29 time: 0.3078 data_time: 0.1418 memory: 2821 2022/08/04 08:11:59 - mmengine - INFO - Epoch(val) [100][80/155] eta: 0:00:19 time: 0.2600 data_time: 0.0895 memory: 2821 2022/08/04 08:12:05 - mmengine - INFO - Epoch(val) [100][100/155] eta: 0:00:17 time: 0.3106 data_time: 0.1439 memory: 2821 2022/08/04 08:12:11 - mmengine - INFO - Epoch(val) [100][120/155] eta: 0:00:09 time: 0.2724 data_time: 0.1056 memory: 2821 2022/08/04 08:12:17 - mmengine - INFO - Epoch(val) [100][140/155] eta: 0:00:04 time: 0.2948 data_time: 0.1342 memory: 2821 2022/08/04 08:12:21 - mmengine - INFO - Epoch(val) [100][155/155] acc/top1: 0.6450 acc/top5: 0.8551 acc/mean1: 0.6449 2022/08/04 08:12:33 - mmengine - INFO - Epoch(train) [101][20/1879] lr: 1.0000e-03 eta: 1 day, 11:09:08 time: 0.5708 data_time: 0.1097 memory: 17087 grad_norm: 5.3444 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.5201 loss: 1.5201 2022/08/04 08:12:42 - mmengine - INFO - Epoch(train) [101][40/1879] lr: 1.0000e-03 eta: 1 day, 11:09:01 time: 0.4678 data_time: 0.0202 memory: 17087 grad_norm: 5.1487 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.4524 loss: 1.4524 2022/08/04 08:12:51 - mmengine - INFO - Epoch(train) [101][60/1879] lr: 1.0000e-03 eta: 1 day, 11:08:52 time: 0.4268 data_time: 0.0151 memory: 17087 grad_norm: 5.2554 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.3684 loss: 1.3684 2022/08/04 08:13:00 - mmengine - INFO - Epoch(train) [101][80/1879] lr: 1.0000e-03 eta: 1 day, 11:08:44 time: 0.4522 data_time: 0.0216 memory: 17087 grad_norm: 5.0084 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.4484 loss: 1.4484 2022/08/04 08:13:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 08:13:08 - mmengine - INFO - Epoch(train) [101][100/1879] lr: 1.0000e-03 eta: 1 day, 11:08:35 time: 0.4308 data_time: 0.0144 memory: 17087 grad_norm: 5.1437 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.5656 loss: 1.5656 2022/08/04 08:13:17 - mmengine - INFO - Epoch(train) [101][120/1879] lr: 1.0000e-03 eta: 1 day, 11:08:27 time: 0.4365 data_time: 0.0260 memory: 17087 grad_norm: 5.2587 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.5455 loss: 1.5455 2022/08/04 08:13:26 - mmengine - INFO - Epoch(train) [101][140/1879] lr: 1.0000e-03 eta: 1 day, 11:08:18 time: 0.4260 data_time: 0.0134 memory: 17087 grad_norm: 5.0640 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.5099 loss: 1.5099 2022/08/04 08:13:35 - mmengine - INFO - Epoch(train) [101][160/1879] lr: 1.0000e-03 eta: 1 day, 11:08:10 time: 0.4533 data_time: 0.0171 memory: 17087 grad_norm: 5.1430 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0957 loss: 1.0957 2022/08/04 08:13:43 - mmengine - INFO - Epoch(train) [101][180/1879] lr: 1.0000e-03 eta: 1 day, 11:08:01 time: 0.4259 data_time: 0.0143 memory: 17087 grad_norm: 5.1284 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3900 loss: 1.3900 2022/08/04 08:13:52 - mmengine - INFO - Epoch(train) [101][200/1879] lr: 1.0000e-03 eta: 1 day, 11:07:52 time: 0.4297 data_time: 0.0168 memory: 17087 grad_norm: 5.0762 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1872 loss: 1.1872 2022/08/04 08:14:00 - mmengine - INFO - Epoch(train) [101][220/1879] lr: 1.0000e-03 eta: 1 day, 11:07:44 time: 0.4259 data_time: 0.0153 memory: 17087 grad_norm: 5.1118 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4191 loss: 1.4191 2022/08/04 08:14:10 - mmengine - INFO - Epoch(train) [101][240/1879] lr: 1.0000e-03 eta: 1 day, 11:07:36 time: 0.4584 data_time: 0.0167 memory: 17087 grad_norm: 5.1228 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.3587 loss: 1.3587 2022/08/04 08:14:18 - mmengine - INFO - Epoch(train) [101][260/1879] lr: 1.0000e-03 eta: 1 day, 11:07:27 time: 0.4310 data_time: 0.0153 memory: 17087 grad_norm: 5.0964 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3291 loss: 1.3291 2022/08/04 08:14:27 - mmengine - INFO - Epoch(train) [101][280/1879] lr: 1.0000e-03 eta: 1 day, 11:07:18 time: 0.4315 data_time: 0.0160 memory: 17087 grad_norm: 5.0663 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2939 loss: 1.2939 2022/08/04 08:14:35 - mmengine - INFO - Epoch(train) [101][300/1879] lr: 1.0000e-03 eta: 1 day, 11:07:10 time: 0.4285 data_time: 0.0155 memory: 17087 grad_norm: 4.9548 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2655 loss: 1.2655 2022/08/04 08:14:44 - mmengine - INFO - Epoch(train) [101][320/1879] lr: 1.0000e-03 eta: 1 day, 11:07:01 time: 0.4262 data_time: 0.0157 memory: 17087 grad_norm: 4.8906 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.4761 loss: 1.4761 2022/08/04 08:14:53 - mmengine - INFO - Epoch(train) [101][340/1879] lr: 1.0000e-03 eta: 1 day, 11:06:52 time: 0.4301 data_time: 0.0148 memory: 17087 grad_norm: 5.0067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2662 loss: 1.2662 2022/08/04 08:15:01 - mmengine - INFO - Epoch(train) [101][360/1879] lr: 1.0000e-03 eta: 1 day, 11:06:44 time: 0.4289 data_time: 0.0163 memory: 17087 grad_norm: 5.1285 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3084 loss: 1.3084 2022/08/04 08:15:10 - mmengine - INFO - Epoch(train) [101][380/1879] lr: 1.0000e-03 eta: 1 day, 11:06:36 time: 0.4565 data_time: 0.0167 memory: 17087 grad_norm: 4.9708 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2597 loss: 1.2597 2022/08/04 08:15:19 - mmengine - INFO - Epoch(train) [101][400/1879] lr: 1.0000e-03 eta: 1 day, 11:06:27 time: 0.4284 data_time: 0.0163 memory: 17087 grad_norm: 5.1999 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1937 loss: 1.1937 2022/08/04 08:15:27 - mmengine - INFO - Epoch(train) [101][420/1879] lr: 1.0000e-03 eta: 1 day, 11:06:18 time: 0.4297 data_time: 0.0149 memory: 17087 grad_norm: 5.0143 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0953 loss: 1.0953 2022/08/04 08:15:36 - mmengine - INFO - Epoch(train) [101][440/1879] lr: 1.0000e-03 eta: 1 day, 11:06:09 time: 0.4277 data_time: 0.0168 memory: 17087 grad_norm: 5.1383 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1617 loss: 1.1617 2022/08/04 08:15:45 - mmengine - INFO - Epoch(train) [101][460/1879] lr: 1.0000e-03 eta: 1 day, 11:06:01 time: 0.4284 data_time: 0.0156 memory: 17087 grad_norm: 5.1775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2204 loss: 1.2204 2022/08/04 08:15:53 - mmengine - INFO - Epoch(train) [101][480/1879] lr: 1.0000e-03 eta: 1 day, 11:05:52 time: 0.4422 data_time: 0.0148 memory: 17087 grad_norm: 5.0394 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.4117 loss: 1.4117 2022/08/04 08:16:02 - mmengine - INFO - Epoch(train) [101][500/1879] lr: 1.0000e-03 eta: 1 day, 11:05:44 time: 0.4347 data_time: 0.0194 memory: 17087 grad_norm: 5.1847 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4860 loss: 1.4860 2022/08/04 08:16:11 - mmengine - INFO - Epoch(train) [101][520/1879] lr: 1.0000e-03 eta: 1 day, 11:05:35 time: 0.4293 data_time: 0.0154 memory: 17087 grad_norm: 5.0642 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2317 loss: 1.2317 2022/08/04 08:16:19 - mmengine - INFO - Epoch(train) [101][540/1879] lr: 1.0000e-03 eta: 1 day, 11:05:27 time: 0.4333 data_time: 0.0176 memory: 17087 grad_norm: 5.1281 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1529 loss: 1.1529 2022/08/04 08:16:28 - mmengine - INFO - Epoch(train) [101][560/1879] lr: 1.0000e-03 eta: 1 day, 11:05:18 time: 0.4271 data_time: 0.0153 memory: 17087 grad_norm: 4.9991 top1_acc: 0.3125 top5_acc: 0.5000 loss_cls: 1.4243 loss: 1.4243 2022/08/04 08:16:37 - mmengine - INFO - Epoch(train) [101][580/1879] lr: 1.0000e-03 eta: 1 day, 11:05:09 time: 0.4294 data_time: 0.0148 memory: 17087 grad_norm: 5.0372 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3943 loss: 1.3943 2022/08/04 08:16:45 - mmengine - INFO - Epoch(train) [101][600/1879] lr: 1.0000e-03 eta: 1 day, 11:05:00 time: 0.4300 data_time: 0.0152 memory: 17087 grad_norm: 5.0441 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2424 loss: 1.2424 2022/08/04 08:16:54 - mmengine - INFO - Epoch(train) [101][620/1879] lr: 1.0000e-03 eta: 1 day, 11:04:52 time: 0.4289 data_time: 0.0153 memory: 17087 grad_norm: 4.8302 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1037 loss: 1.1037 2022/08/04 08:17:03 - mmengine - INFO - Epoch(train) [101][640/1879] lr: 1.0000e-03 eta: 1 day, 11:04:43 time: 0.4372 data_time: 0.0156 memory: 17087 grad_norm: 5.1148 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.3719 loss: 1.3719 2022/08/04 08:17:11 - mmengine - INFO - Epoch(train) [101][660/1879] lr: 1.0000e-03 eta: 1 day, 11:04:34 time: 0.4271 data_time: 0.0143 memory: 17087 grad_norm: 5.1224 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3220 loss: 1.3220 2022/08/04 08:17:20 - mmengine - INFO - Epoch(train) [101][680/1879] lr: 1.0000e-03 eta: 1 day, 11:04:26 time: 0.4416 data_time: 0.0166 memory: 17087 grad_norm: 5.0391 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2567 loss: 1.2567 2022/08/04 08:17:29 - mmengine - INFO - Epoch(train) [101][700/1879] lr: 1.0000e-03 eta: 1 day, 11:04:17 time: 0.4257 data_time: 0.0151 memory: 17087 grad_norm: 5.0303 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1625 loss: 1.1625 2022/08/04 08:17:37 - mmengine - INFO - Epoch(train) [101][720/1879] lr: 1.0000e-03 eta: 1 day, 11:04:09 time: 0.4444 data_time: 0.0164 memory: 17087 grad_norm: 4.9924 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2985 loss: 1.2985 2022/08/04 08:17:46 - mmengine - INFO - Epoch(train) [101][740/1879] lr: 1.0000e-03 eta: 1 day, 11:04:00 time: 0.4255 data_time: 0.0156 memory: 17087 grad_norm: 5.1756 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2646 loss: 1.2646 2022/08/04 08:17:55 - mmengine - INFO - Epoch(train) [101][760/1879] lr: 1.0000e-03 eta: 1 day, 11:03:51 time: 0.4288 data_time: 0.0153 memory: 17087 grad_norm: 5.0029 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0529 loss: 1.0529 2022/08/04 08:18:03 - mmengine - INFO - Epoch(train) [101][780/1879] lr: 1.0000e-03 eta: 1 day, 11:03:43 time: 0.4437 data_time: 0.0166 memory: 17087 grad_norm: 5.0806 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.3122 loss: 1.3122 2022/08/04 08:18:12 - mmengine - INFO - Epoch(train) [101][800/1879] lr: 1.0000e-03 eta: 1 day, 11:03:34 time: 0.4283 data_time: 0.0176 memory: 17087 grad_norm: 5.0658 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.4803 loss: 1.4803 2022/08/04 08:18:21 - mmengine - INFO - Epoch(train) [101][820/1879] lr: 1.0000e-03 eta: 1 day, 11:03:26 time: 0.4307 data_time: 0.0152 memory: 17087 grad_norm: 4.9258 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3264 loss: 1.3264 2022/08/04 08:18:29 - mmengine - INFO - Epoch(train) [101][840/1879] lr: 1.0000e-03 eta: 1 day, 11:03:17 time: 0.4259 data_time: 0.0167 memory: 17087 grad_norm: 4.9300 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1356 loss: 1.1356 2022/08/04 08:18:38 - mmengine - INFO - Epoch(train) [101][860/1879] lr: 1.0000e-03 eta: 1 day, 11:03:09 time: 0.4510 data_time: 0.0143 memory: 17087 grad_norm: 5.0403 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3291 loss: 1.3291 2022/08/04 08:18:47 - mmengine - INFO - Epoch(train) [101][880/1879] lr: 1.0000e-03 eta: 1 day, 11:03:00 time: 0.4292 data_time: 0.0154 memory: 17087 grad_norm: 5.2352 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.4383 loss: 1.4383 2022/08/04 08:18:55 - mmengine - INFO - Epoch(train) [101][900/1879] lr: 1.0000e-03 eta: 1 day, 11:02:51 time: 0.4260 data_time: 0.0132 memory: 17087 grad_norm: 4.9172 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2984 loss: 1.2984 2022/08/04 08:19:04 - mmengine - INFO - Epoch(train) [101][920/1879] lr: 1.0000e-03 eta: 1 day, 11:02:43 time: 0.4329 data_time: 0.0168 memory: 17087 grad_norm: 5.1046 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2647 loss: 1.2647 2022/08/04 08:19:13 - mmengine - INFO - Epoch(train) [101][940/1879] lr: 1.0000e-03 eta: 1 day, 11:02:34 time: 0.4271 data_time: 0.0137 memory: 17087 grad_norm: 5.1693 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2845 loss: 1.2845 2022/08/04 08:19:22 - mmengine - INFO - Epoch(train) [101][960/1879] lr: 1.0000e-03 eta: 1 day, 11:02:26 time: 0.4546 data_time: 0.0176 memory: 17087 grad_norm: 5.1649 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.4311 loss: 1.4311 2022/08/04 08:19:30 - mmengine - INFO - Epoch(train) [101][980/1879] lr: 1.0000e-03 eta: 1 day, 11:02:17 time: 0.4274 data_time: 0.0150 memory: 17087 grad_norm: 5.1982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3875 loss: 1.3875 2022/08/04 08:19:39 - mmengine - INFO - Epoch(train) [101][1000/1879] lr: 1.0000e-03 eta: 1 day, 11:02:09 time: 0.4340 data_time: 0.0171 memory: 17087 grad_norm: 5.0371 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1864 loss: 1.1864 2022/08/04 08:19:47 - mmengine - INFO - Epoch(train) [101][1020/1879] lr: 1.0000e-03 eta: 1 day, 11:02:00 time: 0.4274 data_time: 0.0156 memory: 17087 grad_norm: 5.1835 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.3055 loss: 1.3055 2022/08/04 08:19:56 - mmengine - INFO - Epoch(train) [101][1040/1879] lr: 1.0000e-03 eta: 1 day, 11:01:51 time: 0.4283 data_time: 0.0161 memory: 17087 grad_norm: 5.0705 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1991 loss: 1.1991 2022/08/04 08:20:05 - mmengine - INFO - Epoch(train) [101][1060/1879] lr: 1.0000e-03 eta: 1 day, 11:01:43 time: 0.4558 data_time: 0.0134 memory: 17087 grad_norm: 5.0246 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1283 loss: 1.1283 2022/08/04 08:20:14 - mmengine - INFO - Epoch(train) [101][1080/1879] lr: 1.0000e-03 eta: 1 day, 11:01:35 time: 0.4301 data_time: 0.0173 memory: 17087 grad_norm: 4.9144 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1303 loss: 1.1303 2022/08/04 08:20:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 08:20:22 - mmengine - INFO - Epoch(train) [101][1100/1879] lr: 1.0000e-03 eta: 1 day, 11:01:26 time: 0.4259 data_time: 0.0137 memory: 17087 grad_norm: 5.0889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1362 loss: 1.1362 2022/08/04 08:20:31 - mmengine - INFO - Epoch(train) [101][1120/1879] lr: 1.0000e-03 eta: 1 day, 11:01:17 time: 0.4315 data_time: 0.0195 memory: 17087 grad_norm: 5.0213 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1635 loss: 1.1635 2022/08/04 08:20:40 - mmengine - INFO - Epoch(train) [101][1140/1879] lr: 1.0000e-03 eta: 1 day, 11:01:09 time: 0.4317 data_time: 0.0194 memory: 17087 grad_norm: 5.0648 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.2379 loss: 1.2379 2022/08/04 08:20:48 - mmengine - INFO - Epoch(train) [101][1160/1879] lr: 1.0000e-03 eta: 1 day, 11:01:00 time: 0.4338 data_time: 0.0195 memory: 17087 grad_norm: 4.9233 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3781 loss: 1.3781 2022/08/04 08:20:57 - mmengine - INFO - Epoch(train) [101][1180/1879] lr: 1.0000e-03 eta: 1 day, 11:00:51 time: 0.4249 data_time: 0.0150 memory: 17087 grad_norm: 5.1304 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2409 loss: 1.2409 2022/08/04 08:21:05 - mmengine - INFO - Epoch(train) [101][1200/1879] lr: 1.0000e-03 eta: 1 day, 11:00:42 time: 0.4293 data_time: 0.0162 memory: 17087 grad_norm: 5.1273 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3100 loss: 1.3100 2022/08/04 08:21:14 - mmengine - INFO - Epoch(train) [101][1220/1879] lr: 1.0000e-03 eta: 1 day, 11:00:34 time: 0.4327 data_time: 0.0144 memory: 17087 grad_norm: 5.1653 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2176 loss: 1.2176 2022/08/04 08:21:23 - mmengine - INFO - Epoch(train) [101][1240/1879] lr: 1.0000e-03 eta: 1 day, 11:00:25 time: 0.4285 data_time: 0.0154 memory: 17087 grad_norm: 4.9770 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0025 loss: 1.0025 2022/08/04 08:21:32 - mmengine - INFO - Epoch(train) [101][1260/1879] lr: 1.0000e-03 eta: 1 day, 11:00:17 time: 0.4612 data_time: 0.0146 memory: 17087 grad_norm: 5.1270 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3047 loss: 1.3047 2022/08/04 08:21:41 - mmengine - INFO - Epoch(train) [101][1280/1879] lr: 1.0000e-03 eta: 1 day, 11:00:09 time: 0.4294 data_time: 0.0162 memory: 17087 grad_norm: 5.0356 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3457 loss: 1.3457 2022/08/04 08:21:49 - mmengine - INFO - Epoch(train) [101][1300/1879] lr: 1.0000e-03 eta: 1 day, 11:00:00 time: 0.4360 data_time: 0.0198 memory: 17087 grad_norm: 5.1572 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2671 loss: 1.2671 2022/08/04 08:21:58 - mmengine - INFO - Epoch(train) [101][1320/1879] lr: 1.0000e-03 eta: 1 day, 10:59:51 time: 0.4281 data_time: 0.0163 memory: 17087 grad_norm: 5.0527 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2230 loss: 1.2230 2022/08/04 08:22:06 - mmengine - INFO - Epoch(train) [101][1340/1879] lr: 1.0000e-03 eta: 1 day, 10:59:43 time: 0.4259 data_time: 0.0149 memory: 17087 grad_norm: 5.0364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2691 loss: 1.2691 2022/08/04 08:22:15 - mmengine - INFO - Epoch(train) [101][1360/1879] lr: 1.0000e-03 eta: 1 day, 10:59:35 time: 0.4524 data_time: 0.0155 memory: 17087 grad_norm: 4.9910 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1917 loss: 1.1917 2022/08/04 08:22:24 - mmengine - INFO - Epoch(train) [101][1380/1879] lr: 1.0000e-03 eta: 1 day, 10:59:26 time: 0.4293 data_time: 0.0168 memory: 17087 grad_norm: 5.0664 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4508 loss: 1.4508 2022/08/04 08:22:33 - mmengine - INFO - Epoch(train) [101][1400/1879] lr: 1.0000e-03 eta: 1 day, 10:59:18 time: 0.4525 data_time: 0.0162 memory: 17087 grad_norm: 5.1749 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1957 loss: 1.1957 2022/08/04 08:22:42 - mmengine - INFO - Epoch(train) [101][1420/1879] lr: 1.0000e-03 eta: 1 day, 10:59:09 time: 0.4321 data_time: 0.0139 memory: 17087 grad_norm: 5.2115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3175 loss: 1.3175 2022/08/04 08:22:51 - mmengine - INFO - Epoch(train) [101][1440/1879] lr: 1.0000e-03 eta: 1 day, 10:59:01 time: 0.4543 data_time: 0.0154 memory: 17087 grad_norm: 5.1152 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2356 loss: 1.2356 2022/08/04 08:22:59 - mmengine - INFO - Epoch(train) [101][1460/1879] lr: 1.0000e-03 eta: 1 day, 10:58:53 time: 0.4273 data_time: 0.0149 memory: 17087 grad_norm: 5.1128 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2855 loss: 1.2855 2022/08/04 08:23:08 - mmengine - INFO - Epoch(train) [101][1480/1879] lr: 1.0000e-03 eta: 1 day, 10:58:44 time: 0.4341 data_time: 0.0197 memory: 17087 grad_norm: 5.0694 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1812 loss: 1.1812 2022/08/04 08:23:17 - mmengine - INFO - Epoch(train) [101][1500/1879] lr: 1.0000e-03 eta: 1 day, 10:58:35 time: 0.4259 data_time: 0.0160 memory: 17087 grad_norm: 5.0546 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1604 loss: 1.1604 2022/08/04 08:23:25 - mmengine - INFO - Epoch(train) [101][1520/1879] lr: 1.0000e-03 eta: 1 day, 10:58:26 time: 0.4302 data_time: 0.0181 memory: 17087 grad_norm: 4.9592 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1790 loss: 1.1790 2022/08/04 08:23:34 - mmengine - INFO - Epoch(train) [101][1540/1879] lr: 1.0000e-03 eta: 1 day, 10:58:18 time: 0.4431 data_time: 0.0149 memory: 17087 grad_norm: 5.0151 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2052 loss: 1.2052 2022/08/04 08:23:43 - mmengine - INFO - Epoch(train) [101][1560/1879] lr: 1.0000e-03 eta: 1 day, 10:58:10 time: 0.4357 data_time: 0.0165 memory: 17087 grad_norm: 5.3518 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1263 loss: 1.1263 2022/08/04 08:23:52 - mmengine - INFO - Epoch(train) [101][1580/1879] lr: 1.0000e-03 eta: 1 day, 10:58:01 time: 0.4451 data_time: 0.0153 memory: 17087 grad_norm: 5.2396 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2673 loss: 1.2673 2022/08/04 08:24:00 - mmengine - INFO - Epoch(train) [101][1600/1879] lr: 1.0000e-03 eta: 1 day, 10:57:53 time: 0.4308 data_time: 0.0170 memory: 17087 grad_norm: 5.1321 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1926 loss: 1.1926 2022/08/04 08:24:09 - mmengine - INFO - Epoch(train) [101][1620/1879] lr: 1.0000e-03 eta: 1 day, 10:57:44 time: 0.4282 data_time: 0.0154 memory: 17087 grad_norm: 5.0720 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2040 loss: 1.2040 2022/08/04 08:24:18 - mmengine - INFO - Epoch(train) [101][1640/1879] lr: 1.0000e-03 eta: 1 day, 10:57:35 time: 0.4296 data_time: 0.0157 memory: 17087 grad_norm: 5.1268 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3716 loss: 1.3716 2022/08/04 08:24:26 - mmengine - INFO - Epoch(train) [101][1660/1879] lr: 1.0000e-03 eta: 1 day, 10:57:27 time: 0.4276 data_time: 0.0135 memory: 17087 grad_norm: 5.1575 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2810 loss: 1.2810 2022/08/04 08:24:35 - mmengine - INFO - Epoch(train) [101][1680/1879] lr: 1.0000e-03 eta: 1 day, 10:57:18 time: 0.4331 data_time: 0.0161 memory: 17087 grad_norm: 5.1359 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.4199 loss: 1.4199 2022/08/04 08:24:43 - mmengine - INFO - Epoch(train) [101][1700/1879] lr: 1.0000e-03 eta: 1 day, 10:57:09 time: 0.4328 data_time: 0.0143 memory: 17087 grad_norm: 4.9972 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2744 loss: 1.2744 2022/08/04 08:24:52 - mmengine - INFO - Epoch(train) [101][1720/1879] lr: 1.0000e-03 eta: 1 day, 10:57:01 time: 0.4349 data_time: 0.0167 memory: 17087 grad_norm: 5.0650 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1186 loss: 1.1186 2022/08/04 08:25:01 - mmengine - INFO - Epoch(train) [101][1740/1879] lr: 1.0000e-03 eta: 1 day, 10:56:52 time: 0.4273 data_time: 0.0149 memory: 17087 grad_norm: 5.0025 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2441 loss: 1.2441 2022/08/04 08:25:10 - mmengine - INFO - Epoch(train) [101][1760/1879] lr: 1.0000e-03 eta: 1 day, 10:56:44 time: 0.4413 data_time: 0.0149 memory: 17087 grad_norm: 5.1750 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.3558 loss: 1.3558 2022/08/04 08:25:18 - mmengine - INFO - Epoch(train) [101][1780/1879] lr: 1.0000e-03 eta: 1 day, 10:56:35 time: 0.4310 data_time: 0.0154 memory: 17087 grad_norm: 5.1061 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2285 loss: 1.2285 2022/08/04 08:25:27 - mmengine - INFO - Epoch(train) [101][1800/1879] lr: 1.0000e-03 eta: 1 day, 10:56:26 time: 0.4255 data_time: 0.0150 memory: 17087 grad_norm: 5.1548 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2966 loss: 1.2966 2022/08/04 08:25:35 - mmengine - INFO - Epoch(train) [101][1820/1879] lr: 1.0000e-03 eta: 1 day, 10:56:18 time: 0.4307 data_time: 0.0177 memory: 17087 grad_norm: 5.1526 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2998 loss: 1.2998 2022/08/04 08:25:44 - mmengine - INFO - Epoch(train) [101][1840/1879] lr: 1.0000e-03 eta: 1 day, 10:56:09 time: 0.4289 data_time: 0.0168 memory: 17087 grad_norm: 5.0672 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0994 loss: 1.0994 2022/08/04 08:25:53 - mmengine - INFO - Epoch(train) [101][1860/1879] lr: 1.0000e-03 eta: 1 day, 10:56:01 time: 0.4669 data_time: 0.0162 memory: 17087 grad_norm: 5.3101 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9903 loss: 0.9903 2022/08/04 08:26:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 08:26:01 - mmengine - INFO - Epoch(train) [101][1879/1879] lr: 1.0000e-03 eta: 1 day, 10:56:01 time: 0.4112 data_time: 0.0155 memory: 17087 grad_norm: 5.1852 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1113 loss: 1.1113 2022/08/04 08:26:13 - mmengine - INFO - Epoch(train) [102][20/1879] lr: 1.0000e-03 eta: 1 day, 10:55:37 time: 0.5996 data_time: 0.1403 memory: 17087 grad_norm: 4.9682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1659 loss: 1.1659 2022/08/04 08:26:22 - mmengine - INFO - Epoch(train) [102][40/1879] lr: 1.0000e-03 eta: 1 day, 10:55:29 time: 0.4477 data_time: 0.0183 memory: 17087 grad_norm: 5.0662 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2792 loss: 1.2792 2022/08/04 08:26:31 - mmengine - INFO - Epoch(train) [102][60/1879] lr: 1.0000e-03 eta: 1 day, 10:55:20 time: 0.4286 data_time: 0.0155 memory: 17087 grad_norm: 5.0629 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1965 loss: 1.1965 2022/08/04 08:26:39 - mmengine - INFO - Epoch(train) [102][80/1879] lr: 1.0000e-03 eta: 1 day, 10:55:12 time: 0.4357 data_time: 0.0164 memory: 17087 grad_norm: 4.9524 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9957 loss: 0.9957 2022/08/04 08:26:48 - mmengine - INFO - Epoch(train) [102][100/1879] lr: 1.0000e-03 eta: 1 day, 10:55:03 time: 0.4276 data_time: 0.0145 memory: 17087 grad_norm: 5.0719 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1822 loss: 1.1822 2022/08/04 08:26:57 - mmengine - INFO - Epoch(train) [102][120/1879] lr: 1.0000e-03 eta: 1 day, 10:54:54 time: 0.4338 data_time: 0.0201 memory: 17087 grad_norm: 5.0697 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2020 loss: 1.2020 2022/08/04 08:27:05 - mmengine - INFO - Epoch(train) [102][140/1879] lr: 1.0000e-03 eta: 1 day, 10:54:46 time: 0.4299 data_time: 0.0143 memory: 17087 grad_norm: 5.0397 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1155 loss: 1.1155 2022/08/04 08:27:14 - mmengine - INFO - Epoch(train) [102][160/1879] lr: 1.0000e-03 eta: 1 day, 10:54:37 time: 0.4303 data_time: 0.0161 memory: 17087 grad_norm: 5.1273 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1589 loss: 1.1589 2022/08/04 08:27:22 - mmengine - INFO - Epoch(train) [102][180/1879] lr: 1.0000e-03 eta: 1 day, 10:54:28 time: 0.4275 data_time: 0.0144 memory: 17087 grad_norm: 5.1671 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1161 loss: 1.1161 2022/08/04 08:27:31 - mmengine - INFO - Epoch(train) [102][200/1879] lr: 1.0000e-03 eta: 1 day, 10:54:19 time: 0.4288 data_time: 0.0172 memory: 17087 grad_norm: 4.9983 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2255 loss: 1.2255 2022/08/04 08:27:40 - mmengine - INFO - Epoch(train) [102][220/1879] lr: 1.0000e-03 eta: 1 day, 10:54:11 time: 0.4532 data_time: 0.0176 memory: 17087 grad_norm: 5.1375 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1561 loss: 1.1561 2022/08/04 08:27:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 08:27:49 - mmengine - INFO - Epoch(train) [102][240/1879] lr: 1.0000e-03 eta: 1 day, 10:54:03 time: 0.4308 data_time: 0.0196 memory: 17087 grad_norm: 5.0855 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3962 loss: 1.3962 2022/08/04 08:27:57 - mmengine - INFO - Epoch(train) [102][260/1879] lr: 1.0000e-03 eta: 1 day, 10:53:54 time: 0.4272 data_time: 0.0150 memory: 17087 grad_norm: 5.0874 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2312 loss: 1.2312 2022/08/04 08:28:06 - mmengine - INFO - Epoch(train) [102][280/1879] lr: 1.0000e-03 eta: 1 day, 10:53:45 time: 0.4371 data_time: 0.0159 memory: 17087 grad_norm: 5.1756 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2389 loss: 1.2389 2022/08/04 08:28:15 - mmengine - INFO - Epoch(train) [102][300/1879] lr: 1.0000e-03 eta: 1 day, 10:53:37 time: 0.4303 data_time: 0.0185 memory: 17087 grad_norm: 5.0740 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2143 loss: 1.2143 2022/08/04 08:28:24 - mmengine - INFO - Epoch(train) [102][320/1879] lr: 1.0000e-03 eta: 1 day, 10:53:29 time: 0.4578 data_time: 0.0172 memory: 17087 grad_norm: 5.0632 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.3255 loss: 1.3255 2022/08/04 08:28:33 - mmengine - INFO - Epoch(train) [102][340/1879] lr: 1.0000e-03 eta: 1 day, 10:53:20 time: 0.4336 data_time: 0.0193 memory: 17087 grad_norm: 5.2076 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3809 loss: 1.3809 2022/08/04 08:28:41 - mmengine - INFO - Epoch(train) [102][360/1879] lr: 1.0000e-03 eta: 1 day, 10:53:12 time: 0.4414 data_time: 0.0150 memory: 17087 grad_norm: 5.0605 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2413 loss: 1.2413 2022/08/04 08:28:50 - mmengine - INFO - Epoch(train) [102][380/1879] lr: 1.0000e-03 eta: 1 day, 10:53:04 time: 0.4365 data_time: 0.0167 memory: 17087 grad_norm: 5.0779 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2154 loss: 1.2154 2022/08/04 08:28:59 - mmengine - INFO - Epoch(train) [102][400/1879] lr: 1.0000e-03 eta: 1 day, 10:52:55 time: 0.4270 data_time: 0.0171 memory: 17087 grad_norm: 5.0428 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1802 loss: 1.1802 2022/08/04 08:29:07 - mmengine - INFO - Epoch(train) [102][420/1879] lr: 1.0000e-03 eta: 1 day, 10:52:46 time: 0.4280 data_time: 0.0144 memory: 17087 grad_norm: 5.1491 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0444 loss: 1.0444 2022/08/04 08:29:16 - mmengine - INFO - Epoch(train) [102][440/1879] lr: 1.0000e-03 eta: 1 day, 10:52:37 time: 0.4318 data_time: 0.0164 memory: 17087 grad_norm: 5.3428 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0519 loss: 1.0519 2022/08/04 08:29:24 - mmengine - INFO - Epoch(train) [102][460/1879] lr: 1.0000e-03 eta: 1 day, 10:52:29 time: 0.4253 data_time: 0.0141 memory: 17087 grad_norm: 5.2044 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3676 loss: 1.3676 2022/08/04 08:29:34 - mmengine - INFO - Epoch(train) [102][480/1879] lr: 1.0000e-03 eta: 1 day, 10:52:21 time: 0.4547 data_time: 0.0172 memory: 17087 grad_norm: 5.1325 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2710 loss: 1.2710 2022/08/04 08:29:42 - mmengine - INFO - Epoch(train) [102][500/1879] lr: 1.0000e-03 eta: 1 day, 10:52:12 time: 0.4258 data_time: 0.0140 memory: 17087 grad_norm: 5.0285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1468 loss: 1.1468 2022/08/04 08:29:51 - mmengine - INFO - Epoch(train) [102][520/1879] lr: 1.0000e-03 eta: 1 day, 10:52:03 time: 0.4348 data_time: 0.0177 memory: 17087 grad_norm: 5.3644 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3020 loss: 1.3020 2022/08/04 08:29:59 - mmengine - INFO - Epoch(train) [102][540/1879] lr: 1.0000e-03 eta: 1 day, 10:51:54 time: 0.4273 data_time: 0.0147 memory: 17087 grad_norm: 4.9974 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1967 loss: 1.1967 2022/08/04 08:30:08 - mmengine - INFO - Epoch(train) [102][560/1879] lr: 1.0000e-03 eta: 1 day, 10:51:46 time: 0.4360 data_time: 0.0167 memory: 17087 grad_norm: 5.2321 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.2380 loss: 1.2380 2022/08/04 08:30:17 - mmengine - INFO - Epoch(train) [102][580/1879] lr: 1.0000e-03 eta: 1 day, 10:51:38 time: 0.4491 data_time: 0.0131 memory: 17087 grad_norm: 5.0433 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3471 loss: 1.3471 2022/08/04 08:30:26 - mmengine - INFO - Epoch(train) [102][600/1879] lr: 1.0000e-03 eta: 1 day, 10:51:29 time: 0.4267 data_time: 0.0161 memory: 17087 grad_norm: 5.3012 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3142 loss: 1.3142 2022/08/04 08:30:35 - mmengine - INFO - Epoch(train) [102][620/1879] lr: 1.0000e-03 eta: 1 day, 10:51:22 time: 0.4679 data_time: 0.0152 memory: 17087 grad_norm: 5.0217 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2220 loss: 1.2220 2022/08/04 08:30:44 - mmengine - INFO - Epoch(train) [102][640/1879] lr: 1.0000e-03 eta: 1 day, 10:51:13 time: 0.4300 data_time: 0.0181 memory: 17087 grad_norm: 5.2714 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2584 loss: 1.2584 2022/08/04 08:30:52 - mmengine - INFO - Epoch(train) [102][660/1879] lr: 1.0000e-03 eta: 1 day, 10:51:04 time: 0.4256 data_time: 0.0133 memory: 17087 grad_norm: 5.1382 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2111 loss: 1.2111 2022/08/04 08:31:01 - mmengine - INFO - Epoch(train) [102][680/1879] lr: 1.0000e-03 eta: 1 day, 10:50:56 time: 0.4354 data_time: 0.0203 memory: 17087 grad_norm: 5.0595 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1491 loss: 1.1491 2022/08/04 08:31:09 - mmengine - INFO - Epoch(train) [102][700/1879] lr: 1.0000e-03 eta: 1 day, 10:50:47 time: 0.4280 data_time: 0.0137 memory: 17087 grad_norm: 5.0887 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0814 loss: 1.0814 2022/08/04 08:31:18 - mmengine - INFO - Epoch(train) [102][720/1879] lr: 1.0000e-03 eta: 1 day, 10:50:38 time: 0.4344 data_time: 0.0181 memory: 17087 grad_norm: 5.1884 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3539 loss: 1.3539 2022/08/04 08:31:27 - mmengine - INFO - Epoch(train) [102][740/1879] lr: 1.0000e-03 eta: 1 day, 10:50:30 time: 0.4431 data_time: 0.0140 memory: 17087 grad_norm: 5.2128 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2973 loss: 1.2973 2022/08/04 08:31:36 - mmengine - INFO - Epoch(train) [102][760/1879] lr: 1.0000e-03 eta: 1 day, 10:50:21 time: 0.4293 data_time: 0.0157 memory: 17087 grad_norm: 5.1889 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1904 loss: 1.1904 2022/08/04 08:31:45 - mmengine - INFO - Epoch(train) [102][780/1879] lr: 1.0000e-03 eta: 1 day, 10:50:13 time: 0.4480 data_time: 0.0149 memory: 17087 grad_norm: 5.1648 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1658 loss: 1.1658 2022/08/04 08:31:53 - mmengine - INFO - Epoch(train) [102][800/1879] lr: 1.0000e-03 eta: 1 day, 10:50:04 time: 0.4306 data_time: 0.0162 memory: 17087 grad_norm: 5.2390 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2497 loss: 1.2497 2022/08/04 08:32:02 - mmengine - INFO - Epoch(train) [102][820/1879] lr: 1.0000e-03 eta: 1 day, 10:49:56 time: 0.4462 data_time: 0.0191 memory: 17087 grad_norm: 5.1784 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3533 loss: 1.3533 2022/08/04 08:32:11 - mmengine - INFO - Epoch(train) [102][840/1879] lr: 1.0000e-03 eta: 1 day, 10:49:47 time: 0.4273 data_time: 0.0159 memory: 17087 grad_norm: 5.2802 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2483 loss: 1.2483 2022/08/04 08:32:19 - mmengine - INFO - Epoch(train) [102][860/1879] lr: 1.0000e-03 eta: 1 day, 10:49:39 time: 0.4275 data_time: 0.0151 memory: 17087 grad_norm: 5.1557 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2384 loss: 1.2384 2022/08/04 08:32:28 - mmengine - INFO - Epoch(train) [102][880/1879] lr: 1.0000e-03 eta: 1 day, 10:49:30 time: 0.4264 data_time: 0.0153 memory: 17087 grad_norm: 4.9138 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.2240 loss: 1.2240 2022/08/04 08:32:37 - mmengine - INFO - Epoch(train) [102][900/1879] lr: 1.0000e-03 eta: 1 day, 10:49:22 time: 0.4643 data_time: 0.0162 memory: 17087 grad_norm: 4.9768 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1787 loss: 1.1787 2022/08/04 08:32:46 - mmengine - INFO - Epoch(train) [102][920/1879] lr: 1.0000e-03 eta: 1 day, 10:49:14 time: 0.4302 data_time: 0.0165 memory: 17087 grad_norm: 5.1773 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1655 loss: 1.1655 2022/08/04 08:32:55 - mmengine - INFO - Epoch(train) [102][940/1879] lr: 1.0000e-03 eta: 1 day, 10:49:06 time: 0.4623 data_time: 0.0145 memory: 17087 grad_norm: 5.1822 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2210 loss: 1.2210 2022/08/04 08:33:04 - mmengine - INFO - Epoch(train) [102][960/1879] lr: 1.0000e-03 eta: 1 day, 10:48:57 time: 0.4295 data_time: 0.0158 memory: 17087 grad_norm: 5.1106 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0956 loss: 1.0956 2022/08/04 08:33:12 - mmengine - INFO - Epoch(train) [102][980/1879] lr: 1.0000e-03 eta: 1 day, 10:48:49 time: 0.4402 data_time: 0.0152 memory: 17087 grad_norm: 5.1642 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1270 loss: 1.1270 2022/08/04 08:33:21 - mmengine - INFO - Epoch(train) [102][1000/1879] lr: 1.0000e-03 eta: 1 day, 10:48:40 time: 0.4291 data_time: 0.0160 memory: 17087 grad_norm: 5.2928 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1124 loss: 1.1124 2022/08/04 08:33:30 - mmengine - INFO - Epoch(train) [102][1020/1879] lr: 1.0000e-03 eta: 1 day, 10:48:32 time: 0.4604 data_time: 0.0154 memory: 17087 grad_norm: 5.1524 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9995 loss: 0.9995 2022/08/04 08:33:39 - mmengine - INFO - Epoch(train) [102][1040/1879] lr: 1.0000e-03 eta: 1 day, 10:48:24 time: 0.4293 data_time: 0.0176 memory: 17087 grad_norm: 5.2721 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 1.3115 loss: 1.3115 2022/08/04 08:33:47 - mmengine - INFO - Epoch(train) [102][1060/1879] lr: 1.0000e-03 eta: 1 day, 10:48:15 time: 0.4253 data_time: 0.0133 memory: 17087 grad_norm: 5.1450 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1915 loss: 1.1915 2022/08/04 08:33:56 - mmengine - INFO - Epoch(train) [102][1080/1879] lr: 1.0000e-03 eta: 1 day, 10:48:06 time: 0.4367 data_time: 0.0180 memory: 17087 grad_norm: 5.2766 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2292 loss: 1.2292 2022/08/04 08:34:05 - mmengine - INFO - Epoch(train) [102][1100/1879] lr: 1.0000e-03 eta: 1 day, 10:47:57 time: 0.4255 data_time: 0.0141 memory: 17087 grad_norm: 5.0867 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0347 loss: 1.0347 2022/08/04 08:34:13 - mmengine - INFO - Epoch(train) [102][1120/1879] lr: 1.0000e-03 eta: 1 day, 10:47:49 time: 0.4324 data_time: 0.0172 memory: 17087 grad_norm: 5.1468 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.3659 loss: 1.3659 2022/08/04 08:34:22 - mmengine - INFO - Epoch(train) [102][1140/1879] lr: 1.0000e-03 eta: 1 day, 10:47:41 time: 0.4521 data_time: 0.0167 memory: 17087 grad_norm: 5.1227 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1297 loss: 1.1297 2022/08/04 08:34:31 - mmengine - INFO - Epoch(train) [102][1160/1879] lr: 1.0000e-03 eta: 1 day, 10:47:32 time: 0.4282 data_time: 0.0170 memory: 17087 grad_norm: 5.1626 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0769 loss: 1.0769 2022/08/04 08:34:40 - mmengine - INFO - Epoch(train) [102][1180/1879] lr: 1.0000e-03 eta: 1 day, 10:47:24 time: 0.4364 data_time: 0.0212 memory: 17087 grad_norm: 5.1513 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1315 loss: 1.1315 2022/08/04 08:34:48 - mmengine - INFO - Epoch(train) [102][1200/1879] lr: 1.0000e-03 eta: 1 day, 10:47:15 time: 0.4292 data_time: 0.0176 memory: 17087 grad_norm: 5.2721 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1175 loss: 1.1175 2022/08/04 08:34:57 - mmengine - INFO - Epoch(train) [102][1220/1879] lr: 1.0000e-03 eta: 1 day, 10:47:06 time: 0.4360 data_time: 0.0149 memory: 17087 grad_norm: 5.2440 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1816 loss: 1.1816 2022/08/04 08:34:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 08:35:06 - mmengine - INFO - Epoch(train) [102][1240/1879] lr: 1.0000e-03 eta: 1 day, 10:46:58 time: 0.4473 data_time: 0.0169 memory: 17087 grad_norm: 5.2120 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1020 loss: 1.1020 2022/08/04 08:35:15 - mmengine - INFO - Epoch(train) [102][1260/1879] lr: 1.0000e-03 eta: 1 day, 10:46:50 time: 0.4358 data_time: 0.0150 memory: 17087 grad_norm: 5.3077 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.2108 loss: 1.2108 2022/08/04 08:35:23 - mmengine - INFO - Epoch(train) [102][1280/1879] lr: 1.0000e-03 eta: 1 day, 10:46:41 time: 0.4290 data_time: 0.0153 memory: 17087 grad_norm: 5.2553 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0349 loss: 1.0349 2022/08/04 08:35:32 - mmengine - INFO - Epoch(train) [102][1300/1879] lr: 1.0000e-03 eta: 1 day, 10:46:33 time: 0.4498 data_time: 0.0154 memory: 17087 grad_norm: 5.1234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1384 loss: 1.1384 2022/08/04 08:35:41 - mmengine - INFO - Epoch(train) [102][1320/1879] lr: 1.0000e-03 eta: 1 day, 10:46:24 time: 0.4261 data_time: 0.0154 memory: 17087 grad_norm: 5.4349 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4031 loss: 1.4031 2022/08/04 08:35:50 - mmengine - INFO - Epoch(train) [102][1340/1879] lr: 1.0000e-03 eta: 1 day, 10:46:16 time: 0.4528 data_time: 0.0137 memory: 17087 grad_norm: 5.0870 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0888 loss: 1.0888 2022/08/04 08:35:58 - mmengine - INFO - Epoch(train) [102][1360/1879] lr: 1.0000e-03 eta: 1 day, 10:46:07 time: 0.4282 data_time: 0.0163 memory: 17087 grad_norm: 5.2332 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1559 loss: 1.1559 2022/08/04 08:36:07 - mmengine - INFO - Epoch(train) [102][1380/1879] lr: 1.0000e-03 eta: 1 day, 10:45:59 time: 0.4270 data_time: 0.0145 memory: 17087 grad_norm: 5.2850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1496 loss: 1.1496 2022/08/04 08:36:16 - mmengine - INFO - Epoch(train) [102][1400/1879] lr: 1.0000e-03 eta: 1 day, 10:45:50 time: 0.4346 data_time: 0.0161 memory: 17087 grad_norm: 5.1670 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0711 loss: 1.0711 2022/08/04 08:36:24 - mmengine - INFO - Epoch(train) [102][1420/1879] lr: 1.0000e-03 eta: 1 day, 10:45:41 time: 0.4251 data_time: 0.0140 memory: 17087 grad_norm: 5.3943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2675 loss: 1.2675 2022/08/04 08:36:33 - mmengine - INFO - Epoch(train) [102][1440/1879] lr: 1.0000e-03 eta: 1 day, 10:45:33 time: 0.4364 data_time: 0.0174 memory: 17087 grad_norm: 5.2914 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1628 loss: 1.1628 2022/08/04 08:36:42 - mmengine - INFO - Epoch(train) [102][1460/1879] lr: 1.0000e-03 eta: 1 day, 10:45:24 time: 0.4309 data_time: 0.0143 memory: 17087 grad_norm: 5.1780 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1497 loss: 1.1497 2022/08/04 08:36:50 - mmengine - INFO - Epoch(train) [102][1480/1879] lr: 1.0000e-03 eta: 1 day, 10:45:16 time: 0.4480 data_time: 0.0168 memory: 17087 grad_norm: 5.2453 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2197 loss: 1.2197 2022/08/04 08:36:59 - mmengine - INFO - Epoch(train) [102][1500/1879] lr: 1.0000e-03 eta: 1 day, 10:45:07 time: 0.4268 data_time: 0.0145 memory: 17087 grad_norm: 5.1623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0904 loss: 1.0904 2022/08/04 08:37:08 - mmengine - INFO - Epoch(train) [102][1520/1879] lr: 1.0000e-03 eta: 1 day, 10:44:58 time: 0.4276 data_time: 0.0156 memory: 17087 grad_norm: 5.1866 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1216 loss: 1.1216 2022/08/04 08:37:16 - mmengine - INFO - Epoch(train) [102][1540/1879] lr: 1.0000e-03 eta: 1 day, 10:44:49 time: 0.4267 data_time: 0.0153 memory: 17087 grad_norm: 5.1269 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0193 loss: 1.0193 2022/08/04 08:37:25 - mmengine - INFO - Epoch(train) [102][1560/1879] lr: 1.0000e-03 eta: 1 day, 10:44:41 time: 0.4285 data_time: 0.0167 memory: 17087 grad_norm: 5.2736 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1544 loss: 1.1544 2022/08/04 08:37:33 - mmengine - INFO - Epoch(train) [102][1580/1879] lr: 1.0000e-03 eta: 1 day, 10:44:32 time: 0.4286 data_time: 0.0147 memory: 17087 grad_norm: 5.1883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1528 loss: 1.1528 2022/08/04 08:37:42 - mmengine - INFO - Epoch(train) [102][1600/1879] lr: 1.0000e-03 eta: 1 day, 10:44:23 time: 0.4281 data_time: 0.0165 memory: 17087 grad_norm: 5.3370 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4867 loss: 1.4867 2022/08/04 08:37:51 - mmengine - INFO - Epoch(train) [102][1620/1879] lr: 1.0000e-03 eta: 1 day, 10:44:15 time: 0.4515 data_time: 0.0145 memory: 17087 grad_norm: 5.2094 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2904 loss: 1.2904 2022/08/04 08:38:00 - mmengine - INFO - Epoch(train) [102][1640/1879] lr: 1.0000e-03 eta: 1 day, 10:44:07 time: 0.4295 data_time: 0.0172 memory: 17087 grad_norm: 5.2732 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2269 loss: 1.2269 2022/08/04 08:38:08 - mmengine - INFO - Epoch(train) [102][1660/1879] lr: 1.0000e-03 eta: 1 day, 10:43:58 time: 0.4265 data_time: 0.0144 memory: 17087 grad_norm: 5.2132 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1939 loss: 1.1939 2022/08/04 08:38:17 - mmengine - INFO - Epoch(train) [102][1680/1879] lr: 1.0000e-03 eta: 1 day, 10:43:49 time: 0.4420 data_time: 0.0164 memory: 17087 grad_norm: 5.1895 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2453 loss: 1.2453 2022/08/04 08:38:25 - mmengine - INFO - Epoch(train) [102][1700/1879] lr: 1.0000e-03 eta: 1 day, 10:43:41 time: 0.4283 data_time: 0.0157 memory: 17087 grad_norm: 5.3304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1527 loss: 1.1527 2022/08/04 08:38:34 - mmengine - INFO - Epoch(train) [102][1720/1879] lr: 1.0000e-03 eta: 1 day, 10:43:32 time: 0.4370 data_time: 0.0187 memory: 17087 grad_norm: 5.3191 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1896 loss: 1.1896 2022/08/04 08:38:43 - mmengine - INFO - Epoch(train) [102][1740/1879] lr: 1.0000e-03 eta: 1 day, 10:43:23 time: 0.4253 data_time: 0.0143 memory: 17087 grad_norm: 5.3132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2498 loss: 1.2498 2022/08/04 08:38:52 - mmengine - INFO - Epoch(train) [102][1760/1879] lr: 1.0000e-03 eta: 1 day, 10:43:15 time: 0.4477 data_time: 0.0160 memory: 17087 grad_norm: 5.3750 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2575 loss: 1.2575 2022/08/04 08:39:00 - mmengine - INFO - Epoch(train) [102][1780/1879] lr: 1.0000e-03 eta: 1 day, 10:43:06 time: 0.4273 data_time: 0.0140 memory: 17087 grad_norm: 5.2334 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0999 loss: 1.0999 2022/08/04 08:39:09 - mmengine - INFO - Epoch(train) [102][1800/1879] lr: 1.0000e-03 eta: 1 day, 10:42:58 time: 0.4279 data_time: 0.0148 memory: 17087 grad_norm: 5.0834 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1039 loss: 1.1039 2022/08/04 08:39:17 - mmengine - INFO - Epoch(train) [102][1820/1879] lr: 1.0000e-03 eta: 1 day, 10:42:49 time: 0.4267 data_time: 0.0137 memory: 17087 grad_norm: 5.1969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1050 loss: 1.1050 2022/08/04 08:39:26 - mmengine - INFO - Epoch(train) [102][1840/1879] lr: 1.0000e-03 eta: 1 day, 10:42:40 time: 0.4296 data_time: 0.0152 memory: 17087 grad_norm: 5.2680 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2045 loss: 1.2045 2022/08/04 08:39:35 - mmengine - INFO - Epoch(train) [102][1860/1879] lr: 1.0000e-03 eta: 1 day, 10:42:32 time: 0.4315 data_time: 0.0142 memory: 17087 grad_norm: 5.1588 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1953 loss: 1.1953 2022/08/04 08:39:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 08:39:43 - mmengine - INFO - Epoch(train) [102][1879/1879] lr: 1.0000e-03 eta: 1 day, 10:42:32 time: 0.4216 data_time: 0.0148 memory: 17087 grad_norm: 5.3913 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.1324 loss: 1.1324 2022/08/04 08:39:54 - mmengine - INFO - Epoch(train) [103][20/1879] lr: 1.0000e-03 eta: 1 day, 10:42:07 time: 0.5773 data_time: 0.1069 memory: 17087 grad_norm: 4.9867 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0254 loss: 1.0254 2022/08/04 08:40:03 - mmengine - INFO - Epoch(train) [103][40/1879] lr: 1.0000e-03 eta: 1 day, 10:41:59 time: 0.4486 data_time: 0.0229 memory: 17087 grad_norm: 5.2461 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.2700 loss: 1.2700 2022/08/04 08:40:12 - mmengine - INFO - Epoch(train) [103][60/1879] lr: 1.0000e-03 eta: 1 day, 10:41:50 time: 0.4266 data_time: 0.0140 memory: 17087 grad_norm: 5.1071 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1142 loss: 1.1142 2022/08/04 08:40:21 - mmengine - INFO - Epoch(train) [103][80/1879] lr: 1.0000e-03 eta: 1 day, 10:41:41 time: 0.4376 data_time: 0.0229 memory: 17087 grad_norm: 5.4055 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1336 loss: 1.1336 2022/08/04 08:40:29 - mmengine - INFO - Epoch(train) [103][100/1879] lr: 1.0000e-03 eta: 1 day, 10:41:32 time: 0.4254 data_time: 0.0150 memory: 17087 grad_norm: 5.2745 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2178 loss: 1.2178 2022/08/04 08:40:38 - mmengine - INFO - Epoch(train) [103][120/1879] lr: 1.0000e-03 eta: 1 day, 10:41:24 time: 0.4275 data_time: 0.0155 memory: 17087 grad_norm: 5.2994 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1940 loss: 1.1940 2022/08/04 08:40:47 - mmengine - INFO - Epoch(train) [103][140/1879] lr: 1.0000e-03 eta: 1 day, 10:41:16 time: 0.4644 data_time: 0.0164 memory: 17087 grad_norm: 5.1305 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9848 loss: 0.9848 2022/08/04 08:40:56 - mmengine - INFO - Epoch(train) [103][160/1879] lr: 1.0000e-03 eta: 1 day, 10:41:07 time: 0.4294 data_time: 0.0161 memory: 17087 grad_norm: 5.0272 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0284 loss: 1.0284 2022/08/04 08:41:05 - mmengine - INFO - Epoch(train) [103][180/1879] lr: 1.0000e-03 eta: 1 day, 10:41:00 time: 0.4631 data_time: 0.0160 memory: 17087 grad_norm: 5.1997 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0924 loss: 1.0924 2022/08/04 08:41:13 - mmengine - INFO - Epoch(train) [103][200/1879] lr: 1.0000e-03 eta: 1 day, 10:40:51 time: 0.4290 data_time: 0.0154 memory: 17087 grad_norm: 5.2059 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0107 loss: 1.0107 2022/08/04 08:41:23 - mmengine - INFO - Epoch(train) [103][220/1879] lr: 1.0000e-03 eta: 1 day, 10:40:43 time: 0.4618 data_time: 0.0164 memory: 17087 grad_norm: 5.1965 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0805 loss: 1.0805 2022/08/04 08:41:31 - mmengine - INFO - Epoch(train) [103][240/1879] lr: 1.0000e-03 eta: 1 day, 10:40:34 time: 0.4267 data_time: 0.0162 memory: 17087 grad_norm: 5.2637 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2929 loss: 1.2929 2022/08/04 08:41:40 - mmengine - INFO - Epoch(train) [103][260/1879] lr: 1.0000e-03 eta: 1 day, 10:40:26 time: 0.4322 data_time: 0.0174 memory: 17087 grad_norm: 5.2203 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0899 loss: 1.0899 2022/08/04 08:41:48 - mmengine - INFO - Epoch(train) [103][280/1879] lr: 1.0000e-03 eta: 1 day, 10:40:17 time: 0.4271 data_time: 0.0148 memory: 17087 grad_norm: 5.3682 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2825 loss: 1.2825 2022/08/04 08:41:57 - mmengine - INFO - Epoch(train) [103][300/1879] lr: 1.0000e-03 eta: 1 day, 10:40:09 time: 0.4449 data_time: 0.0153 memory: 17087 grad_norm: 5.1890 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2457 loss: 1.2457 2022/08/04 08:42:06 - mmengine - INFO - Epoch(train) [103][320/1879] lr: 1.0000e-03 eta: 1 day, 10:40:00 time: 0.4281 data_time: 0.0159 memory: 17087 grad_norm: 5.0650 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0997 loss: 1.0997 2022/08/04 08:42:15 - mmengine - INFO - Epoch(train) [103][340/1879] lr: 1.0000e-03 eta: 1 day, 10:39:52 time: 0.4666 data_time: 0.0242 memory: 17087 grad_norm: 5.2602 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.4901 loss: 1.4901 2022/08/04 08:42:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 08:42:24 - mmengine - INFO - Epoch(train) [103][360/1879] lr: 1.0000e-03 eta: 1 day, 10:39:44 time: 0.4275 data_time: 0.0155 memory: 17087 grad_norm: 5.2388 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3369 loss: 1.3369 2022/08/04 08:42:33 - mmengine - INFO - Epoch(train) [103][380/1879] lr: 1.0000e-03 eta: 1 day, 10:39:36 time: 0.4707 data_time: 0.0222 memory: 17087 grad_norm: 5.1205 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1717 loss: 1.1717 2022/08/04 08:42:42 - mmengine - INFO - Epoch(train) [103][400/1879] lr: 1.0000e-03 eta: 1 day, 10:39:28 time: 0.4283 data_time: 0.0154 memory: 17087 grad_norm: 5.2089 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2495 loss: 1.2495 2022/08/04 08:42:51 - mmengine - INFO - Epoch(train) [103][420/1879] lr: 1.0000e-03 eta: 1 day, 10:39:20 time: 0.4610 data_time: 0.0155 memory: 17087 grad_norm: 5.1837 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1760 loss: 1.1760 2022/08/04 08:43:00 - mmengine - INFO - Epoch(train) [103][440/1879] lr: 1.0000e-03 eta: 1 day, 10:39:11 time: 0.4288 data_time: 0.0165 memory: 17087 grad_norm: 5.2413 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2244 loss: 1.2244 2022/08/04 08:43:08 - mmengine - INFO - Epoch(train) [103][460/1879] lr: 1.0000e-03 eta: 1 day, 10:39:02 time: 0.4267 data_time: 0.0150 memory: 17087 grad_norm: 5.1349 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1857 loss: 1.1857 2022/08/04 08:43:17 - mmengine - INFO - Epoch(train) [103][480/1879] lr: 1.0000e-03 eta: 1 day, 10:38:54 time: 0.4341 data_time: 0.0157 memory: 17087 grad_norm: 5.1993 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0994 loss: 1.0994 2022/08/04 08:43:25 - mmengine - INFO - Epoch(train) [103][500/1879] lr: 1.0000e-03 eta: 1 day, 10:38:45 time: 0.4280 data_time: 0.0147 memory: 17087 grad_norm: 5.2009 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1001 loss: 1.1001 2022/08/04 08:43:34 - mmengine - INFO - Epoch(train) [103][520/1879] lr: 1.0000e-03 eta: 1 day, 10:38:36 time: 0.4340 data_time: 0.0172 memory: 17087 grad_norm: 5.2159 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2463 loss: 1.2463 2022/08/04 08:43:43 - mmengine - INFO - Epoch(train) [103][540/1879] lr: 1.0000e-03 eta: 1 day, 10:38:28 time: 0.4262 data_time: 0.0143 memory: 17087 grad_norm: 5.2736 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2744 loss: 1.2744 2022/08/04 08:43:52 - mmengine - INFO - Epoch(train) [103][560/1879] lr: 1.0000e-03 eta: 1 day, 10:38:19 time: 0.4489 data_time: 0.0223 memory: 17087 grad_norm: 5.1437 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1618 loss: 1.1618 2022/08/04 08:44:00 - mmengine - INFO - Epoch(train) [103][580/1879] lr: 1.0000e-03 eta: 1 day, 10:38:11 time: 0.4264 data_time: 0.0147 memory: 17087 grad_norm: 5.3101 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9328 loss: 0.9328 2022/08/04 08:44:09 - mmengine - INFO - Epoch(train) [103][600/1879] lr: 1.0000e-03 eta: 1 day, 10:38:02 time: 0.4315 data_time: 0.0216 memory: 17087 grad_norm: 5.1819 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0278 loss: 1.0278 2022/08/04 08:44:18 - mmengine - INFO - Epoch(train) [103][620/1879] lr: 1.0000e-03 eta: 1 day, 10:37:54 time: 0.4574 data_time: 0.0160 memory: 17087 grad_norm: 5.2497 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2449 loss: 1.2449 2022/08/04 08:44:27 - mmengine - INFO - Epoch(train) [103][640/1879] lr: 1.0000e-03 eta: 1 day, 10:37:45 time: 0.4277 data_time: 0.0154 memory: 17087 grad_norm: 5.3596 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1801 loss: 1.1801 2022/08/04 08:44:36 - mmengine - INFO - Epoch(train) [103][660/1879] lr: 1.0000e-03 eta: 1 day, 10:37:37 time: 0.4571 data_time: 0.0198 memory: 17087 grad_norm: 5.4083 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0679 loss: 1.0679 2022/08/04 08:44:44 - mmengine - INFO - Epoch(train) [103][680/1879] lr: 1.0000e-03 eta: 1 day, 10:37:29 time: 0.4281 data_time: 0.0156 memory: 17087 grad_norm: 5.1721 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1821 loss: 1.1821 2022/08/04 08:44:53 - mmengine - INFO - Epoch(train) [103][700/1879] lr: 1.0000e-03 eta: 1 day, 10:37:21 time: 0.4554 data_time: 0.0204 memory: 17087 grad_norm: 5.2839 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2605 loss: 1.2605 2022/08/04 08:45:02 - mmengine - INFO - Epoch(train) [103][720/1879] lr: 1.0000e-03 eta: 1 day, 10:37:12 time: 0.4291 data_time: 0.0184 memory: 17087 grad_norm: 5.1329 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2153 loss: 1.2153 2022/08/04 08:45:11 - mmengine - INFO - Epoch(train) [103][740/1879] lr: 1.0000e-03 eta: 1 day, 10:37:04 time: 0.4404 data_time: 0.0157 memory: 17087 grad_norm: 5.1557 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1366 loss: 1.1366 2022/08/04 08:45:19 - mmengine - INFO - Epoch(train) [103][760/1879] lr: 1.0000e-03 eta: 1 day, 10:36:55 time: 0.4301 data_time: 0.0160 memory: 17087 grad_norm: 5.2063 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.1318 loss: 1.1318 2022/08/04 08:45:28 - mmengine - INFO - Epoch(train) [103][780/1879] lr: 1.0000e-03 eta: 1 day, 10:36:46 time: 0.4302 data_time: 0.0122 memory: 17087 grad_norm: 5.1709 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1500 loss: 1.1500 2022/08/04 08:45:37 - mmengine - INFO - Epoch(train) [103][800/1879] lr: 1.0000e-03 eta: 1 day, 10:36:38 time: 0.4446 data_time: 0.0156 memory: 17087 grad_norm: 5.1217 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9901 loss: 0.9901 2022/08/04 08:45:46 - mmengine - INFO - Epoch(train) [103][820/1879] lr: 1.0000e-03 eta: 1 day, 10:36:29 time: 0.4278 data_time: 0.0159 memory: 17087 grad_norm: 5.2414 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1973 loss: 1.1973 2022/08/04 08:45:54 - mmengine - INFO - Epoch(train) [103][840/1879] lr: 1.0000e-03 eta: 1 day, 10:36:21 time: 0.4287 data_time: 0.0153 memory: 17087 grad_norm: 5.2504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0618 loss: 1.0618 2022/08/04 08:46:03 - mmengine - INFO - Epoch(train) [103][860/1879] lr: 1.0000e-03 eta: 1 day, 10:36:12 time: 0.4475 data_time: 0.0152 memory: 17087 grad_norm: 5.1339 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1799 loss: 1.1799 2022/08/04 08:46:12 - mmengine - INFO - Epoch(train) [103][880/1879] lr: 1.0000e-03 eta: 1 day, 10:36:04 time: 0.4280 data_time: 0.0156 memory: 17087 grad_norm: 5.1610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1633 loss: 1.1633 2022/08/04 08:46:20 - mmengine - INFO - Epoch(train) [103][900/1879] lr: 1.0000e-03 eta: 1 day, 10:35:55 time: 0.4283 data_time: 0.0158 memory: 17087 grad_norm: 5.2547 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3149 loss: 1.3149 2022/08/04 08:46:29 - mmengine - INFO - Epoch(train) [103][920/1879] lr: 1.0000e-03 eta: 1 day, 10:35:46 time: 0.4281 data_time: 0.0167 memory: 17087 grad_norm: 5.3341 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0518 loss: 1.0518 2022/08/04 08:46:37 - mmengine - INFO - Epoch(train) [103][940/1879] lr: 1.0000e-03 eta: 1 day, 10:35:38 time: 0.4326 data_time: 0.0159 memory: 17087 grad_norm: 5.2476 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1921 loss: 1.1921 2022/08/04 08:46:46 - mmengine - INFO - Epoch(train) [103][960/1879] lr: 1.0000e-03 eta: 1 day, 10:35:29 time: 0.4277 data_time: 0.0170 memory: 17087 grad_norm: 5.3304 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2059 loss: 1.2059 2022/08/04 08:46:55 - mmengine - INFO - Epoch(train) [103][980/1879] lr: 1.0000e-03 eta: 1 day, 10:35:20 time: 0.4348 data_time: 0.0161 memory: 17087 grad_norm: 5.2069 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7718 loss: 0.7718 2022/08/04 08:47:03 - mmengine - INFO - Epoch(train) [103][1000/1879] lr: 1.0000e-03 eta: 1 day, 10:35:12 time: 0.4314 data_time: 0.0165 memory: 17087 grad_norm: 5.2469 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1527 loss: 1.1527 2022/08/04 08:47:12 - mmengine - INFO - Epoch(train) [103][1020/1879] lr: 1.0000e-03 eta: 1 day, 10:35:03 time: 0.4404 data_time: 0.0163 memory: 17087 grad_norm: 5.2636 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1408 loss: 1.1408 2022/08/04 08:47:21 - mmengine - INFO - Epoch(train) [103][1040/1879] lr: 1.0000e-03 eta: 1 day, 10:34:55 time: 0.4319 data_time: 0.0162 memory: 17087 grad_norm: 5.4197 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2775 loss: 1.2775 2022/08/04 08:47:29 - mmengine - INFO - Epoch(train) [103][1060/1879] lr: 1.0000e-03 eta: 1 day, 10:34:46 time: 0.4261 data_time: 0.0149 memory: 17087 grad_norm: 5.3013 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1279 loss: 1.1279 2022/08/04 08:47:38 - mmengine - INFO - Epoch(train) [103][1080/1879] lr: 1.0000e-03 eta: 1 day, 10:34:37 time: 0.4337 data_time: 0.0159 memory: 17087 grad_norm: 5.1812 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0865 loss: 1.0865 2022/08/04 08:47:47 - mmengine - INFO - Epoch(train) [103][1100/1879] lr: 1.0000e-03 eta: 1 day, 10:34:29 time: 0.4296 data_time: 0.0148 memory: 17087 grad_norm: 5.2709 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0658 loss: 1.0658 2022/08/04 08:47:55 - mmengine - INFO - Epoch(train) [103][1120/1879] lr: 1.0000e-03 eta: 1 day, 10:34:20 time: 0.4293 data_time: 0.0169 memory: 17087 grad_norm: 5.4336 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.3356 loss: 1.3356 2022/08/04 08:48:04 - mmengine - INFO - Epoch(train) [103][1140/1879] lr: 1.0000e-03 eta: 1 day, 10:34:11 time: 0.4340 data_time: 0.0173 memory: 17087 grad_norm: 5.3358 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1289 loss: 1.1289 2022/08/04 08:48:13 - mmengine - INFO - Epoch(train) [103][1160/1879] lr: 1.0000e-03 eta: 1 day, 10:34:03 time: 0.4308 data_time: 0.0173 memory: 17087 grad_norm: 5.2149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0898 loss: 1.0898 2022/08/04 08:48:21 - mmengine - INFO - Epoch(train) [103][1180/1879] lr: 1.0000e-03 eta: 1 day, 10:33:54 time: 0.4338 data_time: 0.0156 memory: 17087 grad_norm: 5.2611 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1995 loss: 1.1995 2022/08/04 08:48:30 - mmengine - INFO - Epoch(train) [103][1200/1879] lr: 1.0000e-03 eta: 1 day, 10:33:46 time: 0.4357 data_time: 0.0149 memory: 17087 grad_norm: 5.2230 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0959 loss: 1.0959 2022/08/04 08:48:39 - mmengine - INFO - Epoch(train) [103][1220/1879] lr: 1.0000e-03 eta: 1 day, 10:33:37 time: 0.4283 data_time: 0.0138 memory: 17087 grad_norm: 5.2950 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1402 loss: 1.1402 2022/08/04 08:48:47 - mmengine - INFO - Epoch(train) [103][1240/1879] lr: 1.0000e-03 eta: 1 day, 10:33:28 time: 0.4334 data_time: 0.0167 memory: 17087 grad_norm: 5.3881 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0866 loss: 1.0866 2022/08/04 08:48:56 - mmengine - INFO - Epoch(train) [103][1260/1879] lr: 1.0000e-03 eta: 1 day, 10:33:19 time: 0.4262 data_time: 0.0147 memory: 17087 grad_norm: 5.1926 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3183 loss: 1.3183 2022/08/04 08:49:05 - mmengine - INFO - Epoch(train) [103][1280/1879] lr: 1.0000e-03 eta: 1 day, 10:33:11 time: 0.4370 data_time: 0.0162 memory: 17087 grad_norm: 5.0747 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0860 loss: 1.0860 2022/08/04 08:49:13 - mmengine - INFO - Epoch(train) [103][1300/1879] lr: 1.0000e-03 eta: 1 day, 10:33:02 time: 0.4256 data_time: 0.0139 memory: 17087 grad_norm: 5.2093 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1938 loss: 1.1938 2022/08/04 08:49:22 - mmengine - INFO - Epoch(train) [103][1320/1879] lr: 1.0000e-03 eta: 1 day, 10:32:54 time: 0.4562 data_time: 0.0178 memory: 17087 grad_norm: 5.4925 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3485 loss: 1.3485 2022/08/04 08:49:31 - mmengine - INFO - Epoch(train) [103][1340/1879] lr: 1.0000e-03 eta: 1 day, 10:32:45 time: 0.4268 data_time: 0.0162 memory: 17087 grad_norm: 5.2686 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2106 loss: 1.2106 2022/08/04 08:49:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 08:49:39 - mmengine - INFO - Epoch(train) [103][1360/1879] lr: 1.0000e-03 eta: 1 day, 10:32:37 time: 0.4258 data_time: 0.0161 memory: 17087 grad_norm: 5.1845 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9407 loss: 0.9407 2022/08/04 08:49:48 - mmengine - INFO - Epoch(train) [103][1380/1879] lr: 1.0000e-03 eta: 1 day, 10:32:28 time: 0.4500 data_time: 0.0196 memory: 17087 grad_norm: 5.4273 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9412 loss: 0.9412 2022/08/04 08:49:57 - mmengine - INFO - Epoch(train) [103][1400/1879] lr: 1.0000e-03 eta: 1 day, 10:32:20 time: 0.4280 data_time: 0.0171 memory: 17087 grad_norm: 5.3528 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1278 loss: 1.1278 2022/08/04 08:50:06 - mmengine - INFO - Epoch(train) [103][1420/1879] lr: 1.0000e-03 eta: 1 day, 10:32:11 time: 0.4353 data_time: 0.0157 memory: 17087 grad_norm: 5.1728 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3021 loss: 1.3021 2022/08/04 08:50:14 - mmengine - INFO - Epoch(train) [103][1440/1879] lr: 1.0000e-03 eta: 1 day, 10:32:02 time: 0.4263 data_time: 0.0163 memory: 17087 grad_norm: 5.2819 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1972 loss: 1.1972 2022/08/04 08:50:23 - mmengine - INFO - Epoch(train) [103][1460/1879] lr: 1.0000e-03 eta: 1 day, 10:31:54 time: 0.4363 data_time: 0.0162 memory: 17087 grad_norm: 5.3126 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1512 loss: 1.1512 2022/08/04 08:50:31 - mmengine - INFO - Epoch(train) [103][1480/1879] lr: 1.0000e-03 eta: 1 day, 10:31:45 time: 0.4286 data_time: 0.0159 memory: 17087 grad_norm: 5.2077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1746 loss: 1.1746 2022/08/04 08:50:40 - mmengine - INFO - Epoch(train) [103][1500/1879] lr: 1.0000e-03 eta: 1 day, 10:31:37 time: 0.4334 data_time: 0.0160 memory: 17087 grad_norm: 5.3397 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2118 loss: 1.2118 2022/08/04 08:50:49 - mmengine - INFO - Epoch(train) [103][1520/1879] lr: 1.0000e-03 eta: 1 day, 10:31:28 time: 0.4285 data_time: 0.0182 memory: 17087 grad_norm: 5.2964 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0002 loss: 1.0002 2022/08/04 08:50:57 - mmengine - INFO - Epoch(train) [103][1540/1879] lr: 1.0000e-03 eta: 1 day, 10:31:19 time: 0.4269 data_time: 0.0152 memory: 17087 grad_norm: 5.2425 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0950 loss: 1.0950 2022/08/04 08:51:07 - mmengine - INFO - Epoch(train) [103][1560/1879] lr: 1.0000e-03 eta: 1 day, 10:31:11 time: 0.4601 data_time: 0.0175 memory: 17087 grad_norm: 5.3045 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1074 loss: 1.1074 2022/08/04 08:51:15 - mmengine - INFO - Epoch(train) [103][1580/1879] lr: 1.0000e-03 eta: 1 day, 10:31:03 time: 0.4283 data_time: 0.0157 memory: 17087 grad_norm: 5.4172 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2741 loss: 1.2741 2022/08/04 08:51:24 - mmengine - INFO - Epoch(train) [103][1600/1879] lr: 1.0000e-03 eta: 1 day, 10:30:54 time: 0.4300 data_time: 0.0170 memory: 17087 grad_norm: 5.3210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3106 loss: 1.3106 2022/08/04 08:51:32 - mmengine - INFO - Epoch(train) [103][1620/1879] lr: 1.0000e-03 eta: 1 day, 10:30:45 time: 0.4271 data_time: 0.0166 memory: 17087 grad_norm: 5.3318 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0871 loss: 1.0871 2022/08/04 08:51:41 - mmengine - INFO - Epoch(train) [103][1640/1879] lr: 1.0000e-03 eta: 1 day, 10:30:36 time: 0.4314 data_time: 0.0154 memory: 17087 grad_norm: 5.2750 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9877 loss: 0.9877 2022/08/04 08:51:49 - mmengine - INFO - Epoch(train) [103][1660/1879] lr: 1.0000e-03 eta: 1 day, 10:30:28 time: 0.4269 data_time: 0.0152 memory: 17087 grad_norm: 5.1841 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1995 loss: 1.1995 2022/08/04 08:51:58 - mmengine - INFO - Epoch(train) [103][1680/1879] lr: 1.0000e-03 eta: 1 day, 10:30:19 time: 0.4331 data_time: 0.0160 memory: 17087 grad_norm: 5.3406 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0563 loss: 1.0563 2022/08/04 08:52:07 - mmengine - INFO - Epoch(train) [103][1700/1879] lr: 1.0000e-03 eta: 1 day, 10:30:10 time: 0.4309 data_time: 0.0171 memory: 17087 grad_norm: 5.2778 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0998 loss: 1.0998 2022/08/04 08:52:15 - mmengine - INFO - Epoch(train) [103][1720/1879] lr: 1.0000e-03 eta: 1 day, 10:30:02 time: 0.4315 data_time: 0.0160 memory: 17087 grad_norm: 5.3891 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1800 loss: 1.1800 2022/08/04 08:52:24 - mmengine - INFO - Epoch(train) [103][1740/1879] lr: 1.0000e-03 eta: 1 day, 10:29:53 time: 0.4281 data_time: 0.0161 memory: 17087 grad_norm: 5.0133 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9578 loss: 0.9578 2022/08/04 08:52:33 - mmengine - INFO - Epoch(train) [103][1760/1879] lr: 1.0000e-03 eta: 1 day, 10:29:44 time: 0.4278 data_time: 0.0158 memory: 17087 grad_norm: 5.2777 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3286 loss: 1.3286 2022/08/04 08:52:41 - mmengine - INFO - Epoch(train) [103][1780/1879] lr: 1.0000e-03 eta: 1 day, 10:29:35 time: 0.4273 data_time: 0.0155 memory: 17087 grad_norm: 5.3054 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0778 loss: 1.0778 2022/08/04 08:52:50 - mmengine - INFO - Epoch(train) [103][1800/1879] lr: 1.0000e-03 eta: 1 day, 10:29:27 time: 0.4281 data_time: 0.0171 memory: 17087 grad_norm: 5.2115 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2023 loss: 1.2023 2022/08/04 08:52:58 - mmengine - INFO - Epoch(train) [103][1820/1879] lr: 1.0000e-03 eta: 1 day, 10:29:18 time: 0.4278 data_time: 0.0133 memory: 17087 grad_norm: 5.0976 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0711 loss: 1.0711 2022/08/04 08:53:07 - mmengine - INFO - Epoch(train) [103][1840/1879] lr: 1.0000e-03 eta: 1 day, 10:29:09 time: 0.4280 data_time: 0.0158 memory: 17087 grad_norm: 5.2569 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0600 loss: 1.0600 2022/08/04 08:53:15 - mmengine - INFO - Epoch(train) [103][1860/1879] lr: 1.0000e-03 eta: 1 day, 10:29:00 time: 0.4276 data_time: 0.0154 memory: 17087 grad_norm: 5.4419 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2452 loss: 1.2452 2022/08/04 08:53:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 08:53:23 - mmengine - INFO - Epoch(train) [103][1879/1879] lr: 1.0000e-03 eta: 1 day, 10:29:00 time: 0.4119 data_time: 0.0148 memory: 17087 grad_norm: 5.3653 top1_acc: 0.1429 top5_acc: 0.7143 loss_cls: 1.2064 loss: 1.2064 2022/08/04 08:53:35 - mmengine - INFO - Epoch(train) [104][20/1879] lr: 1.0000e-03 eta: 1 day, 10:28:35 time: 0.5638 data_time: 0.1130 memory: 17087 grad_norm: 5.1791 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2448 loss: 1.2448 2022/08/04 08:53:43 - mmengine - INFO - Epoch(train) [104][40/1879] lr: 1.0000e-03 eta: 1 day, 10:28:27 time: 0.4446 data_time: 0.0193 memory: 17087 grad_norm: 5.0825 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1198 loss: 1.1198 2022/08/04 08:53:52 - mmengine - INFO - Epoch(train) [104][60/1879] lr: 1.0000e-03 eta: 1 day, 10:28:18 time: 0.4259 data_time: 0.0130 memory: 17087 grad_norm: 5.2007 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1976 loss: 1.1976 2022/08/04 08:54:01 - mmengine - INFO - Epoch(train) [104][80/1879] lr: 1.0000e-03 eta: 1 day, 10:28:10 time: 0.4439 data_time: 0.0152 memory: 17087 grad_norm: 5.2770 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1461 loss: 1.1461 2022/08/04 08:54:09 - mmengine - INFO - Epoch(train) [104][100/1879] lr: 1.0000e-03 eta: 1 day, 10:28:01 time: 0.4257 data_time: 0.0145 memory: 17087 grad_norm: 5.1797 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.3895 loss: 1.3895 2022/08/04 08:54:18 - mmengine - INFO - Epoch(train) [104][120/1879] lr: 1.0000e-03 eta: 1 day, 10:27:53 time: 0.4304 data_time: 0.0165 memory: 17087 grad_norm: 5.1007 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2148 loss: 1.2148 2022/08/04 08:54:27 - mmengine - INFO - Epoch(train) [104][140/1879] lr: 1.0000e-03 eta: 1 day, 10:27:44 time: 0.4266 data_time: 0.0123 memory: 17087 grad_norm: 5.2644 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1769 loss: 1.1769 2022/08/04 08:54:36 - mmengine - INFO - Epoch(train) [104][160/1879] lr: 1.0000e-03 eta: 1 day, 10:27:36 time: 0.4640 data_time: 0.0181 memory: 17087 grad_norm: 5.1667 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1724 loss: 1.1724 2022/08/04 08:54:44 - mmengine - INFO - Epoch(train) [104][180/1879] lr: 1.0000e-03 eta: 1 day, 10:27:27 time: 0.4255 data_time: 0.0141 memory: 17087 grad_norm: 5.1340 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0029 loss: 1.0029 2022/08/04 08:54:53 - mmengine - INFO - Epoch(train) [104][200/1879] lr: 1.0000e-03 eta: 1 day, 10:27:19 time: 0.4306 data_time: 0.0173 memory: 17087 grad_norm: 5.2545 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2640 loss: 1.2640 2022/08/04 08:55:02 - mmengine - INFO - Epoch(train) [104][220/1879] lr: 1.0000e-03 eta: 1 day, 10:27:10 time: 0.4312 data_time: 0.0168 memory: 17087 grad_norm: 5.2598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2289 loss: 1.2289 2022/08/04 08:55:10 - mmengine - INFO - Epoch(train) [104][240/1879] lr: 1.0000e-03 eta: 1 day, 10:27:01 time: 0.4259 data_time: 0.0152 memory: 17087 grad_norm: 5.2703 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1393 loss: 1.1393 2022/08/04 08:55:19 - mmengine - INFO - Epoch(train) [104][260/1879] lr: 1.0000e-03 eta: 1 day, 10:26:53 time: 0.4349 data_time: 0.0156 memory: 17087 grad_norm: 5.2019 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1235 loss: 1.1235 2022/08/04 08:55:27 - mmengine - INFO - Epoch(train) [104][280/1879] lr: 1.0000e-03 eta: 1 day, 10:26:44 time: 0.4276 data_time: 0.0160 memory: 17087 grad_norm: 5.3594 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1340 loss: 1.1340 2022/08/04 08:55:36 - mmengine - INFO - Epoch(train) [104][300/1879] lr: 1.0000e-03 eta: 1 day, 10:26:35 time: 0.4306 data_time: 0.0162 memory: 17087 grad_norm: 5.1994 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0111 loss: 1.0111 2022/08/04 08:55:45 - mmengine - INFO - Epoch(train) [104][320/1879] lr: 1.0000e-03 eta: 1 day, 10:26:26 time: 0.4253 data_time: 0.0150 memory: 17087 grad_norm: 5.2225 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2192 loss: 1.2192 2022/08/04 08:55:54 - mmengine - INFO - Epoch(train) [104][340/1879] lr: 1.0000e-03 eta: 1 day, 10:26:19 time: 0.4630 data_time: 0.0169 memory: 17087 grad_norm: 5.0849 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1693 loss: 1.1693 2022/08/04 08:56:03 - mmengine - INFO - Epoch(train) [104][360/1879] lr: 1.0000e-03 eta: 1 day, 10:26:10 time: 0.4273 data_time: 0.0158 memory: 17087 grad_norm: 5.2656 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1833 loss: 1.1833 2022/08/04 08:56:12 - mmengine - INFO - Epoch(train) [104][380/1879] lr: 1.0000e-03 eta: 1 day, 10:26:02 time: 0.4642 data_time: 0.0192 memory: 17087 grad_norm: 5.2661 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0156 loss: 1.0156 2022/08/04 08:56:20 - mmengine - INFO - Epoch(train) [104][400/1879] lr: 1.0000e-03 eta: 1 day, 10:25:53 time: 0.4283 data_time: 0.0162 memory: 17087 grad_norm: 5.1292 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.1544 loss: 1.1544 2022/08/04 08:56:29 - mmengine - INFO - Epoch(train) [104][420/1879] lr: 1.0000e-03 eta: 1 day, 10:25:45 time: 0.4257 data_time: 0.0123 memory: 17087 grad_norm: 5.3275 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2126 loss: 1.2126 2022/08/04 08:56:38 - mmengine - INFO - Epoch(train) [104][440/1879] lr: 1.0000e-03 eta: 1 day, 10:25:37 time: 0.4631 data_time: 0.0226 memory: 17087 grad_norm: 5.1183 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1260 loss: 1.1260 2022/08/04 08:56:47 - mmengine - INFO - Epoch(train) [104][460/1879] lr: 1.0000e-03 eta: 1 day, 10:25:28 time: 0.4267 data_time: 0.0142 memory: 17087 grad_norm: 5.2269 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2551 loss: 1.2551 2022/08/04 08:56:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 08:56:56 - mmengine - INFO - Epoch(train) [104][480/1879] lr: 1.0000e-03 eta: 1 day, 10:25:20 time: 0.4584 data_time: 0.0223 memory: 17087 grad_norm: 5.0636 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9853 loss: 0.9853 2022/08/04 08:57:05 - mmengine - INFO - Epoch(train) [104][500/1879] lr: 1.0000e-03 eta: 1 day, 10:25:12 time: 0.4356 data_time: 0.0149 memory: 17087 grad_norm: 5.1158 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9315 loss: 0.9315 2022/08/04 08:57:13 - mmengine - INFO - Epoch(train) [104][520/1879] lr: 1.0000e-03 eta: 1 day, 10:25:03 time: 0.4256 data_time: 0.0167 memory: 17087 grad_norm: 5.2178 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1757 loss: 1.1757 2022/08/04 08:57:22 - mmengine - INFO - Epoch(train) [104][540/1879] lr: 1.0000e-03 eta: 1 day, 10:24:55 time: 0.4573 data_time: 0.0157 memory: 17087 grad_norm: 5.3217 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2463 loss: 1.2463 2022/08/04 08:57:31 - mmengine - INFO - Epoch(train) [104][560/1879] lr: 1.0000e-03 eta: 1 day, 10:24:46 time: 0.4263 data_time: 0.0157 memory: 17087 grad_norm: 5.2747 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1397 loss: 1.1397 2022/08/04 08:57:39 - mmengine - INFO - Epoch(train) [104][580/1879] lr: 1.0000e-03 eta: 1 day, 10:24:37 time: 0.4259 data_time: 0.0141 memory: 17087 grad_norm: 5.2351 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0477 loss: 1.0477 2022/08/04 08:57:48 - mmengine - INFO - Epoch(train) [104][600/1879] lr: 1.0000e-03 eta: 1 day, 10:24:29 time: 0.4304 data_time: 0.0171 memory: 17087 grad_norm: 5.1730 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9850 loss: 0.9850 2022/08/04 08:57:57 - mmengine - INFO - Epoch(train) [104][620/1879] lr: 1.0000e-03 eta: 1 day, 10:24:20 time: 0.4319 data_time: 0.0134 memory: 17087 grad_norm: 5.3525 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1970 loss: 1.1970 2022/08/04 08:58:06 - mmengine - INFO - Epoch(train) [104][640/1879] lr: 1.0000e-03 eta: 1 day, 10:24:12 time: 0.4496 data_time: 0.0176 memory: 17087 grad_norm: 5.3399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1749 loss: 1.1749 2022/08/04 08:58:14 - mmengine - INFO - Epoch(train) [104][660/1879] lr: 1.0000e-03 eta: 1 day, 10:24:03 time: 0.4320 data_time: 0.0198 memory: 17087 grad_norm: 5.4584 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.3417 loss: 1.3417 2022/08/04 08:58:23 - mmengine - INFO - Epoch(train) [104][680/1879] lr: 1.0000e-03 eta: 1 day, 10:23:55 time: 0.4497 data_time: 0.0167 memory: 17087 grad_norm: 5.3731 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1360 loss: 1.1360 2022/08/04 08:58:32 - mmengine - INFO - Epoch(train) [104][700/1879] lr: 1.0000e-03 eta: 1 day, 10:23:47 time: 0.4351 data_time: 0.0203 memory: 17087 grad_norm: 5.2607 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2691 loss: 1.2691 2022/08/04 08:58:41 - mmengine - INFO - Epoch(train) [104][720/1879] lr: 1.0000e-03 eta: 1 day, 10:23:38 time: 0.4282 data_time: 0.0178 memory: 17087 grad_norm: 5.2103 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0974 loss: 1.0974 2022/08/04 08:58:49 - mmengine - INFO - Epoch(train) [104][740/1879] lr: 1.0000e-03 eta: 1 day, 10:23:29 time: 0.4302 data_time: 0.0155 memory: 17087 grad_norm: 5.2755 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1301 loss: 1.1301 2022/08/04 08:58:58 - mmengine - INFO - Epoch(train) [104][760/1879] lr: 1.0000e-03 eta: 1 day, 10:23:21 time: 0.4353 data_time: 0.0180 memory: 17087 grad_norm: 5.4568 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0512 loss: 1.0512 2022/08/04 08:59:06 - mmengine - INFO - Epoch(train) [104][780/1879] lr: 1.0000e-03 eta: 1 day, 10:23:12 time: 0.4300 data_time: 0.0144 memory: 17087 grad_norm: 5.2558 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1970 loss: 1.1970 2022/08/04 08:59:15 - mmengine - INFO - Epoch(train) [104][800/1879] lr: 1.0000e-03 eta: 1 day, 10:23:03 time: 0.4303 data_time: 0.0163 memory: 17087 grad_norm: 5.2558 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9815 loss: 0.9815 2022/08/04 08:59:24 - mmengine - INFO - Epoch(train) [104][820/1879] lr: 1.0000e-03 eta: 1 day, 10:22:55 time: 0.4284 data_time: 0.0145 memory: 17087 grad_norm: 5.4183 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0666 loss: 1.0666 2022/08/04 08:59:32 - mmengine - INFO - Epoch(train) [104][840/1879] lr: 1.0000e-03 eta: 1 day, 10:22:46 time: 0.4302 data_time: 0.0164 memory: 17087 grad_norm: 5.3731 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1648 loss: 1.1648 2022/08/04 08:59:41 - mmengine - INFO - Epoch(train) [104][860/1879] lr: 1.0000e-03 eta: 1 day, 10:22:37 time: 0.4273 data_time: 0.0147 memory: 17087 grad_norm: 5.2626 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0834 loss: 1.0834 2022/08/04 08:59:49 - mmengine - INFO - Epoch(train) [104][880/1879] lr: 1.0000e-03 eta: 1 day, 10:22:29 time: 0.4288 data_time: 0.0168 memory: 17087 grad_norm: 5.3870 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0385 loss: 1.0385 2022/08/04 08:59:58 - mmengine - INFO - Epoch(train) [104][900/1879] lr: 1.0000e-03 eta: 1 day, 10:22:20 time: 0.4273 data_time: 0.0126 memory: 17087 grad_norm: 5.1937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9718 loss: 0.9718 2022/08/04 09:00:07 - mmengine - INFO - Epoch(train) [104][920/1879] lr: 1.0000e-03 eta: 1 day, 10:22:12 time: 0.4502 data_time: 0.0183 memory: 17087 grad_norm: 5.4487 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1320 loss: 1.1320 2022/08/04 09:00:16 - mmengine - INFO - Epoch(train) [104][940/1879] lr: 1.0000e-03 eta: 1 day, 10:22:03 time: 0.4321 data_time: 0.0180 memory: 17087 grad_norm: 5.2962 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2434 loss: 1.2434 2022/08/04 09:00:25 - mmengine - INFO - Epoch(train) [104][960/1879] lr: 1.0000e-03 eta: 1 day, 10:21:55 time: 0.4522 data_time: 0.0157 memory: 17087 grad_norm: 5.3047 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1723 loss: 1.1723 2022/08/04 09:00:33 - mmengine - INFO - Epoch(train) [104][980/1879] lr: 1.0000e-03 eta: 1 day, 10:21:46 time: 0.4266 data_time: 0.0139 memory: 17087 grad_norm: 5.2217 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0825 loss: 1.0825 2022/08/04 09:00:42 - mmengine - INFO - Epoch(train) [104][1000/1879] lr: 1.0000e-03 eta: 1 day, 10:21:38 time: 0.4449 data_time: 0.0172 memory: 17087 grad_norm: 5.1987 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2377 loss: 1.2377 2022/08/04 09:00:51 - mmengine - INFO - Epoch(train) [104][1020/1879] lr: 1.0000e-03 eta: 1 day, 10:21:29 time: 0.4253 data_time: 0.0148 memory: 17087 grad_norm: 5.3671 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2145 loss: 1.2145 2022/08/04 09:00:59 - mmengine - INFO - Epoch(train) [104][1040/1879] lr: 1.0000e-03 eta: 1 day, 10:21:20 time: 0.4295 data_time: 0.0170 memory: 17087 grad_norm: 5.2991 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0298 loss: 1.0298 2022/08/04 09:01:08 - mmengine - INFO - Epoch(train) [104][1060/1879] lr: 1.0000e-03 eta: 1 day, 10:21:12 time: 0.4262 data_time: 0.0138 memory: 17087 grad_norm: 5.2129 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1945 loss: 1.1945 2022/08/04 09:01:16 - mmengine - INFO - Epoch(train) [104][1080/1879] lr: 1.0000e-03 eta: 1 day, 10:21:03 time: 0.4267 data_time: 0.0160 memory: 17087 grad_norm: 5.3078 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0089 loss: 1.0089 2022/08/04 09:01:25 - mmengine - INFO - Epoch(train) [104][1100/1879] lr: 1.0000e-03 eta: 1 day, 10:20:55 time: 0.4495 data_time: 0.0151 memory: 17087 grad_norm: 5.3098 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3409 loss: 1.3409 2022/08/04 09:01:34 - mmengine - INFO - Epoch(train) [104][1120/1879] lr: 1.0000e-03 eta: 1 day, 10:20:46 time: 0.4348 data_time: 0.0171 memory: 17087 grad_norm: 5.3101 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1678 loss: 1.1678 2022/08/04 09:01:43 - mmengine - INFO - Epoch(train) [104][1140/1879] lr: 1.0000e-03 eta: 1 day, 10:20:39 time: 0.4654 data_time: 0.0165 memory: 17087 grad_norm: 5.0481 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0383 loss: 1.0383 2022/08/04 09:01:52 - mmengine - INFO - Epoch(train) [104][1160/1879] lr: 1.0000e-03 eta: 1 day, 10:20:30 time: 0.4272 data_time: 0.0160 memory: 17087 grad_norm: 5.1889 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0725 loss: 1.0725 2022/08/04 09:02:00 - mmengine - INFO - Epoch(train) [104][1180/1879] lr: 1.0000e-03 eta: 1 day, 10:20:21 time: 0.4256 data_time: 0.0147 memory: 17087 grad_norm: 5.4436 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0861 loss: 1.0861 2022/08/04 09:02:09 - mmengine - INFO - Epoch(train) [104][1200/1879] lr: 1.0000e-03 eta: 1 day, 10:20:13 time: 0.4480 data_time: 0.0178 memory: 17087 grad_norm: 5.2112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0020 loss: 1.0020 2022/08/04 09:02:18 - mmengine - INFO - Epoch(train) [104][1220/1879] lr: 1.0000e-03 eta: 1 day, 10:20:04 time: 0.4260 data_time: 0.0145 memory: 17087 grad_norm: 5.2792 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9498 loss: 0.9498 2022/08/04 09:02:27 - mmengine - INFO - Epoch(train) [104][1240/1879] lr: 1.0000e-03 eta: 1 day, 10:19:56 time: 0.4554 data_time: 0.0175 memory: 17087 grad_norm: 5.4306 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1692 loss: 1.1692 2022/08/04 09:02:36 - mmengine - INFO - Epoch(train) [104][1260/1879] lr: 1.0000e-03 eta: 1 day, 10:19:47 time: 0.4305 data_time: 0.0153 memory: 17087 grad_norm: 5.3940 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1181 loss: 1.1181 2022/08/04 09:02:44 - mmengine - INFO - Epoch(train) [104][1280/1879] lr: 1.0000e-03 eta: 1 day, 10:19:39 time: 0.4288 data_time: 0.0162 memory: 17087 grad_norm: 5.3599 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8704 loss: 0.8704 2022/08/04 09:02:53 - mmengine - INFO - Epoch(train) [104][1300/1879] lr: 1.0000e-03 eta: 1 day, 10:19:30 time: 0.4282 data_time: 0.0157 memory: 17087 grad_norm: 5.4259 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0953 loss: 1.0953 2022/08/04 09:03:01 - mmengine - INFO - Epoch(train) [104][1320/1879] lr: 1.0000e-03 eta: 1 day, 10:19:21 time: 0.4279 data_time: 0.0160 memory: 17087 grad_norm: 5.4318 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1374 loss: 1.1374 2022/08/04 09:03:10 - mmengine - INFO - Epoch(train) [104][1340/1879] lr: 1.0000e-03 eta: 1 day, 10:19:12 time: 0.4270 data_time: 0.0139 memory: 17087 grad_norm: 5.4681 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2935 loss: 1.2935 2022/08/04 09:03:19 - mmengine - INFO - Epoch(train) [104][1360/1879] lr: 1.0000e-03 eta: 1 day, 10:19:04 time: 0.4442 data_time: 0.0169 memory: 17087 grad_norm: 5.2779 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0635 loss: 1.0635 2022/08/04 09:03:28 - mmengine - INFO - Epoch(train) [104][1380/1879] lr: 1.0000e-03 eta: 1 day, 10:18:56 time: 0.4427 data_time: 0.0170 memory: 17087 grad_norm: 5.2583 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1526 loss: 1.1526 2022/08/04 09:03:36 - mmengine - INFO - Epoch(train) [104][1400/1879] lr: 1.0000e-03 eta: 1 day, 10:18:47 time: 0.4267 data_time: 0.0158 memory: 17087 grad_norm: 5.5340 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9085 loss: 0.9085 2022/08/04 09:03:45 - mmengine - INFO - Epoch(train) [104][1420/1879] lr: 1.0000e-03 eta: 1 day, 10:18:39 time: 0.4541 data_time: 0.0236 memory: 17087 grad_norm: 5.4859 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1038 loss: 1.1038 2022/08/04 09:03:54 - mmengine - INFO - Epoch(train) [104][1440/1879] lr: 1.0000e-03 eta: 1 day, 10:18:30 time: 0.4306 data_time: 0.0164 memory: 17087 grad_norm: 5.3726 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0812 loss: 1.0812 2022/08/04 09:04:03 - mmengine - INFO - Epoch(train) [104][1460/1879] lr: 1.0000e-03 eta: 1 day, 10:18:22 time: 0.4301 data_time: 0.0152 memory: 17087 grad_norm: 5.2879 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9424 loss: 0.9424 2022/08/04 09:04:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 09:04:11 - mmengine - INFO - Epoch(train) [104][1480/1879] lr: 1.0000e-03 eta: 1 day, 10:18:13 time: 0.4269 data_time: 0.0160 memory: 17087 grad_norm: 5.3766 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2391 loss: 1.2391 2022/08/04 09:04:20 - mmengine - INFO - Epoch(train) [104][1500/1879] lr: 1.0000e-03 eta: 1 day, 10:18:04 time: 0.4264 data_time: 0.0145 memory: 17087 grad_norm: 5.2105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1440 loss: 1.1440 2022/08/04 09:04:28 - mmengine - INFO - Epoch(train) [104][1520/1879] lr: 1.0000e-03 eta: 1 day, 10:17:56 time: 0.4344 data_time: 0.0177 memory: 17087 grad_norm: 5.2533 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9774 loss: 0.9774 2022/08/04 09:04:37 - mmengine - INFO - Epoch(train) [104][1540/1879] lr: 1.0000e-03 eta: 1 day, 10:17:47 time: 0.4273 data_time: 0.0134 memory: 17087 grad_norm: 5.3120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0360 loss: 1.0360 2022/08/04 09:04:46 - mmengine - INFO - Epoch(train) [104][1560/1879] lr: 1.0000e-03 eta: 1 day, 10:17:38 time: 0.4348 data_time: 0.0165 memory: 17087 grad_norm: 5.4313 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1356 loss: 1.1356 2022/08/04 09:04:54 - mmengine - INFO - Epoch(train) [104][1580/1879] lr: 1.0000e-03 eta: 1 day, 10:17:29 time: 0.4260 data_time: 0.0140 memory: 17087 grad_norm: 5.4645 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1702 loss: 1.1702 2022/08/04 09:05:03 - mmengine - INFO - Epoch(train) [104][1600/1879] lr: 1.0000e-03 eta: 1 day, 10:17:22 time: 0.4558 data_time: 0.0156 memory: 17087 grad_norm: 5.1627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0104 loss: 1.0104 2022/08/04 09:05:12 - mmengine - INFO - Epoch(train) [104][1620/1879] lr: 1.0000e-03 eta: 1 day, 10:17:13 time: 0.4320 data_time: 0.0193 memory: 17087 grad_norm: 5.2759 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0583 loss: 1.0583 2022/08/04 09:05:21 - mmengine - INFO - Epoch(train) [104][1640/1879] lr: 1.0000e-03 eta: 1 day, 10:17:04 time: 0.4301 data_time: 0.0184 memory: 17087 grad_norm: 5.4222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1651 loss: 1.1651 2022/08/04 09:05:29 - mmengine - INFO - Epoch(train) [104][1660/1879] lr: 1.0000e-03 eta: 1 day, 10:16:55 time: 0.4256 data_time: 0.0134 memory: 17087 grad_norm: 5.2979 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2506 loss: 1.2506 2022/08/04 09:05:38 - mmengine - INFO - Epoch(train) [104][1680/1879] lr: 1.0000e-03 eta: 1 day, 10:16:47 time: 0.4555 data_time: 0.0161 memory: 17087 grad_norm: 5.3195 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1041 loss: 1.1041 2022/08/04 09:05:47 - mmengine - INFO - Epoch(train) [104][1700/1879] lr: 1.0000e-03 eta: 1 day, 10:16:39 time: 0.4303 data_time: 0.0148 memory: 17087 grad_norm: 5.5455 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1675 loss: 1.1675 2022/08/04 09:05:56 - mmengine - INFO - Epoch(train) [104][1720/1879] lr: 1.0000e-03 eta: 1 day, 10:16:30 time: 0.4349 data_time: 0.0170 memory: 17087 grad_norm: 4.9808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9092 loss: 0.9092 2022/08/04 09:06:04 - mmengine - INFO - Epoch(train) [104][1740/1879] lr: 1.0000e-03 eta: 1 day, 10:16:21 time: 0.4273 data_time: 0.0160 memory: 17087 grad_norm: 5.3123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1067 loss: 1.1067 2022/08/04 09:06:13 - mmengine - INFO - Epoch(train) [104][1760/1879] lr: 1.0000e-03 eta: 1 day, 10:16:13 time: 0.4321 data_time: 0.0170 memory: 17087 grad_norm: 5.4868 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1373 loss: 1.1373 2022/08/04 09:06:21 - mmengine - INFO - Epoch(train) [104][1780/1879] lr: 1.0000e-03 eta: 1 day, 10:16:04 time: 0.4270 data_time: 0.0150 memory: 17087 grad_norm: 5.2567 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0237 loss: 1.0237 2022/08/04 09:06:30 - mmengine - INFO - Epoch(train) [104][1800/1879] lr: 1.0000e-03 eta: 1 day, 10:15:55 time: 0.4261 data_time: 0.0164 memory: 17087 grad_norm: 5.4292 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1697 loss: 1.1697 2022/08/04 09:06:39 - mmengine - INFO - Epoch(train) [104][1820/1879] lr: 1.0000e-03 eta: 1 day, 10:15:48 time: 0.4660 data_time: 0.0165 memory: 17087 grad_norm: 5.4381 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1464 loss: 1.1464 2022/08/04 09:06:48 - mmengine - INFO - Epoch(train) [104][1840/1879] lr: 1.0000e-03 eta: 1 day, 10:15:39 time: 0.4285 data_time: 0.0158 memory: 17087 grad_norm: 5.4432 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1377 loss: 1.1377 2022/08/04 09:06:57 - mmengine - INFO - Epoch(train) [104][1860/1879] lr: 1.0000e-03 eta: 1 day, 10:15:31 time: 0.4482 data_time: 0.0164 memory: 17087 grad_norm: 5.2810 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1074 loss: 1.1074 2022/08/04 09:07:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 09:07:05 - mmengine - INFO - Epoch(train) [104][1879/1879] lr: 1.0000e-03 eta: 1 day, 10:15:31 time: 0.4205 data_time: 0.0159 memory: 17087 grad_norm: 5.4292 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 1.1255 loss: 1.1255 2022/08/04 09:07:05 - mmengine - INFO - Saving checkpoint at 104 epochs 2022/08/04 09:07:19 - mmengine - INFO - Epoch(train) [105][20/1879] lr: 1.0000e-03 eta: 1 day, 10:15:05 time: 0.5260 data_time: 0.1102 memory: 17087 grad_norm: 5.1746 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0520 loss: 1.0520 2022/08/04 09:07:28 - mmengine - INFO - Epoch(train) [105][40/1879] lr: 1.0000e-03 eta: 1 day, 10:14:57 time: 0.4549 data_time: 0.0213 memory: 17087 grad_norm: 5.2612 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9473 loss: 0.9473 2022/08/04 09:07:37 - mmengine - INFO - Epoch(train) [105][60/1879] lr: 1.0000e-03 eta: 1 day, 10:14:49 time: 0.4600 data_time: 0.0197 memory: 17087 grad_norm: 5.4745 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0037 loss: 1.0037 2022/08/04 09:07:46 - mmengine - INFO - Epoch(train) [105][80/1879] lr: 1.0000e-03 eta: 1 day, 10:14:40 time: 0.4261 data_time: 0.0156 memory: 17087 grad_norm: 5.3526 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0425 loss: 1.0425 2022/08/04 09:07:55 - mmengine - INFO - Epoch(train) [105][100/1879] lr: 1.0000e-03 eta: 1 day, 10:14:32 time: 0.4355 data_time: 0.0181 memory: 17087 grad_norm: 5.2693 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0334 loss: 1.0334 2022/08/04 09:08:03 - mmengine - INFO - Epoch(train) [105][120/1879] lr: 1.0000e-03 eta: 1 day, 10:14:23 time: 0.4295 data_time: 0.0162 memory: 17087 grad_norm: 5.3117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.3003 loss: 1.3003 2022/08/04 09:08:12 - mmengine - INFO - Epoch(train) [105][140/1879] lr: 1.0000e-03 eta: 1 day, 10:14:14 time: 0.4274 data_time: 0.0132 memory: 17087 grad_norm: 5.4182 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1666 loss: 1.1666 2022/08/04 09:08:20 - mmengine - INFO - Epoch(train) [105][160/1879] lr: 1.0000e-03 eta: 1 day, 10:14:05 time: 0.4284 data_time: 0.0168 memory: 17087 grad_norm: 5.2967 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9852 loss: 0.9852 2022/08/04 09:08:29 - mmengine - INFO - Epoch(train) [105][180/1879] lr: 1.0000e-03 eta: 1 day, 10:13:57 time: 0.4258 data_time: 0.0141 memory: 17087 grad_norm: 5.2347 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0920 loss: 1.0920 2022/08/04 09:08:37 - mmengine - INFO - Epoch(train) [105][200/1879] lr: 1.0000e-03 eta: 1 day, 10:13:48 time: 0.4302 data_time: 0.0164 memory: 17087 grad_norm: 5.2733 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2151 loss: 1.2151 2022/08/04 09:08:46 - mmengine - INFO - Epoch(train) [105][220/1879] lr: 1.0000e-03 eta: 1 day, 10:13:39 time: 0.4251 data_time: 0.0148 memory: 17087 grad_norm: 5.2834 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1906 loss: 1.1906 2022/08/04 09:08:55 - mmengine - INFO - Epoch(train) [105][240/1879] lr: 1.0000e-03 eta: 1 day, 10:13:31 time: 0.4530 data_time: 0.0183 memory: 17087 grad_norm: 5.4207 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2708 loss: 1.2708 2022/08/04 09:09:04 - mmengine - INFO - Epoch(train) [105][260/1879] lr: 1.0000e-03 eta: 1 day, 10:13:22 time: 0.4269 data_time: 0.0161 memory: 17087 grad_norm: 5.1535 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9910 loss: 0.9910 2022/08/04 09:09:12 - mmengine - INFO - Epoch(train) [105][280/1879] lr: 1.0000e-03 eta: 1 day, 10:13:14 time: 0.4303 data_time: 0.0170 memory: 17087 grad_norm: 5.3792 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2268 loss: 1.2268 2022/08/04 09:09:21 - mmengine - INFO - Epoch(train) [105][300/1879] lr: 1.0000e-03 eta: 1 day, 10:13:05 time: 0.4269 data_time: 0.0123 memory: 17087 grad_norm: 5.2082 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1363 loss: 1.1363 2022/08/04 09:09:29 - mmengine - INFO - Epoch(train) [105][320/1879] lr: 1.0000e-03 eta: 1 day, 10:12:56 time: 0.4288 data_time: 0.0180 memory: 17087 grad_norm: 5.4296 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0683 loss: 1.0683 2022/08/04 09:09:38 - mmengine - INFO - Epoch(train) [105][340/1879] lr: 1.0000e-03 eta: 1 day, 10:12:48 time: 0.4469 data_time: 0.0150 memory: 17087 grad_norm: 5.4379 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1549 loss: 1.1549 2022/08/04 09:09:47 - mmengine - INFO - Epoch(train) [105][360/1879] lr: 1.0000e-03 eta: 1 day, 10:12:39 time: 0.4286 data_time: 0.0157 memory: 17087 grad_norm: 5.3697 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1653 loss: 1.1653 2022/08/04 09:09:56 - mmengine - INFO - Epoch(train) [105][380/1879] lr: 1.0000e-03 eta: 1 day, 10:12:31 time: 0.4409 data_time: 0.0155 memory: 17087 grad_norm: 5.1133 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0736 loss: 1.0736 2022/08/04 09:10:04 - mmengine - INFO - Epoch(train) [105][400/1879] lr: 1.0000e-03 eta: 1 day, 10:12:22 time: 0.4268 data_time: 0.0153 memory: 17087 grad_norm: 5.3361 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2386 loss: 1.2386 2022/08/04 09:10:13 - mmengine - INFO - Epoch(train) [105][420/1879] lr: 1.0000e-03 eta: 1 day, 10:12:14 time: 0.4527 data_time: 0.0150 memory: 17087 grad_norm: 5.1734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1869 loss: 1.1869 2022/08/04 09:10:22 - mmengine - INFO - Epoch(train) [105][440/1879] lr: 1.0000e-03 eta: 1 day, 10:12:05 time: 0.4309 data_time: 0.0170 memory: 17087 grad_norm: 5.2930 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2566 loss: 1.2566 2022/08/04 09:10:31 - mmengine - INFO - Epoch(train) [105][460/1879] lr: 1.0000e-03 eta: 1 day, 10:11:56 time: 0.4250 data_time: 0.0137 memory: 17087 grad_norm: 5.2192 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1558 loss: 1.1558 2022/08/04 09:10:40 - mmengine - INFO - Epoch(train) [105][480/1879] lr: 1.0000e-03 eta: 1 day, 10:11:48 time: 0.4545 data_time: 0.0164 memory: 17087 grad_norm: 5.4142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1317 loss: 1.1317 2022/08/04 09:10:48 - mmengine - INFO - Epoch(train) [105][500/1879] lr: 1.0000e-03 eta: 1 day, 10:11:40 time: 0.4264 data_time: 0.0137 memory: 17087 grad_norm: 5.3315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2191 loss: 1.2191 2022/08/04 09:10:57 - mmengine - INFO - Epoch(train) [105][520/1879] lr: 1.0000e-03 eta: 1 day, 10:11:32 time: 0.4471 data_time: 0.0166 memory: 17087 grad_norm: 5.3242 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1036 loss: 1.1036 2022/08/04 09:11:06 - mmengine - INFO - Epoch(train) [105][540/1879] lr: 1.0000e-03 eta: 1 day, 10:11:23 time: 0.4275 data_time: 0.0131 memory: 17087 grad_norm: 5.2170 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1320 loss: 1.1320 2022/08/04 09:11:15 - mmengine - INFO - Epoch(train) [105][560/1879] lr: 1.0000e-03 eta: 1 day, 10:11:15 time: 0.4507 data_time: 0.0171 memory: 17087 grad_norm: 5.2319 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1069 loss: 1.1069 2022/08/04 09:11:23 - mmengine - INFO - Epoch(train) [105][580/1879] lr: 1.0000e-03 eta: 1 day, 10:11:06 time: 0.4300 data_time: 0.0136 memory: 17087 grad_norm: 5.4806 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0792 loss: 1.0792 2022/08/04 09:11:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 09:11:32 - mmengine - INFO - Epoch(train) [105][600/1879] lr: 1.0000e-03 eta: 1 day, 10:10:57 time: 0.4334 data_time: 0.0169 memory: 17087 grad_norm: 5.2893 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1751 loss: 1.1751 2022/08/04 09:11:41 - mmengine - INFO - Epoch(train) [105][620/1879] lr: 1.0000e-03 eta: 1 day, 10:10:49 time: 0.4461 data_time: 0.0132 memory: 17087 grad_norm: 5.2357 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1292 loss: 1.1292 2022/08/04 09:11:50 - mmengine - INFO - Epoch(train) [105][640/1879] lr: 1.0000e-03 eta: 1 day, 10:10:40 time: 0.4282 data_time: 0.0164 memory: 17087 grad_norm: 5.3482 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2591 loss: 1.2591 2022/08/04 09:11:58 - mmengine - INFO - Epoch(train) [105][660/1879] lr: 1.0000e-03 eta: 1 day, 10:10:32 time: 0.4345 data_time: 0.0164 memory: 17087 grad_norm: 5.5294 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1553 loss: 1.1553 2022/08/04 09:12:07 - mmengine - INFO - Epoch(train) [105][680/1879] lr: 1.0000e-03 eta: 1 day, 10:10:23 time: 0.4297 data_time: 0.0157 memory: 17087 grad_norm: 5.2435 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1512 loss: 1.1512 2022/08/04 09:12:16 - mmengine - INFO - Epoch(train) [105][700/1879] lr: 1.0000e-03 eta: 1 day, 10:10:15 time: 0.4508 data_time: 0.0142 memory: 17087 grad_norm: 5.2777 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1221 loss: 1.1221 2022/08/04 09:12:24 - mmengine - INFO - Epoch(train) [105][720/1879] lr: 1.0000e-03 eta: 1 day, 10:10:06 time: 0.4265 data_time: 0.0159 memory: 17087 grad_norm: 5.4343 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1260 loss: 1.1260 2022/08/04 09:12:33 - mmengine - INFO - Epoch(train) [105][740/1879] lr: 1.0000e-03 eta: 1 day, 10:09:58 time: 0.4538 data_time: 0.0164 memory: 17087 grad_norm: 5.2263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0828 loss: 1.0828 2022/08/04 09:12:42 - mmengine - INFO - Epoch(train) [105][760/1879] lr: 1.0000e-03 eta: 1 day, 10:09:50 time: 0.4304 data_time: 0.0166 memory: 17087 grad_norm: 5.0852 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1920 loss: 1.1920 2022/08/04 09:12:51 - mmengine - INFO - Epoch(train) [105][780/1879] lr: 1.0000e-03 eta: 1 day, 10:09:41 time: 0.4323 data_time: 0.0132 memory: 17087 grad_norm: 5.2917 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1137 loss: 1.1137 2022/08/04 09:12:59 - mmengine - INFO - Epoch(train) [105][800/1879] lr: 1.0000e-03 eta: 1 day, 10:09:32 time: 0.4276 data_time: 0.0159 memory: 17087 grad_norm: 5.2668 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2003 loss: 1.2003 2022/08/04 09:13:08 - mmengine - INFO - Epoch(train) [105][820/1879] lr: 1.0000e-03 eta: 1 day, 10:09:24 time: 0.4568 data_time: 0.0206 memory: 17087 grad_norm: 5.3510 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0686 loss: 1.0686 2022/08/04 09:13:17 - mmengine - INFO - Epoch(train) [105][840/1879] lr: 1.0000e-03 eta: 1 day, 10:09:16 time: 0.4289 data_time: 0.0167 memory: 17087 grad_norm: 5.3188 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9686 loss: 0.9686 2022/08/04 09:13:26 - mmengine - INFO - Epoch(train) [105][860/1879] lr: 1.0000e-03 eta: 1 day, 10:09:08 time: 0.4629 data_time: 0.0218 memory: 17087 grad_norm: 5.3987 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2373 loss: 1.2373 2022/08/04 09:13:35 - mmengine - INFO - Epoch(train) [105][880/1879] lr: 1.0000e-03 eta: 1 day, 10:08:59 time: 0.4273 data_time: 0.0152 memory: 17087 grad_norm: 5.4460 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3307 loss: 1.3307 2022/08/04 09:13:44 - mmengine - INFO - Epoch(train) [105][900/1879] lr: 1.0000e-03 eta: 1 day, 10:08:51 time: 0.4385 data_time: 0.0206 memory: 17087 grad_norm: 5.3723 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2595 loss: 1.2595 2022/08/04 09:13:52 - mmengine - INFO - Epoch(train) [105][920/1879] lr: 1.0000e-03 eta: 1 day, 10:08:42 time: 0.4280 data_time: 0.0161 memory: 17087 grad_norm: 5.3355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0702 loss: 1.0702 2022/08/04 09:14:01 - mmengine - INFO - Epoch(train) [105][940/1879] lr: 1.0000e-03 eta: 1 day, 10:08:33 time: 0.4276 data_time: 0.0157 memory: 17087 grad_norm: 5.2960 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0949 loss: 1.0949 2022/08/04 09:14:10 - mmengine - INFO - Epoch(train) [105][960/1879] lr: 1.0000e-03 eta: 1 day, 10:08:25 time: 0.4608 data_time: 0.0172 memory: 17087 grad_norm: 5.2773 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.1345 loss: 1.1345 2022/08/04 09:14:19 - mmengine - INFO - Epoch(train) [105][980/1879] lr: 1.0000e-03 eta: 1 day, 10:08:17 time: 0.4315 data_time: 0.0195 memory: 17087 grad_norm: 5.1276 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1996 loss: 1.1996 2022/08/04 09:14:28 - mmengine - INFO - Epoch(train) [105][1000/1879] lr: 1.0000e-03 eta: 1 day, 10:08:09 time: 0.4561 data_time: 0.0173 memory: 17087 grad_norm: 5.3295 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0701 loss: 1.0701 2022/08/04 09:14:36 - mmengine - INFO - Epoch(train) [105][1020/1879] lr: 1.0000e-03 eta: 1 day, 10:08:00 time: 0.4315 data_time: 0.0199 memory: 17087 grad_norm: 5.1829 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0404 loss: 1.0404 2022/08/04 09:14:45 - mmengine - INFO - Epoch(train) [105][1040/1879] lr: 1.0000e-03 eta: 1 day, 10:07:51 time: 0.4273 data_time: 0.0175 memory: 17087 grad_norm: 5.2276 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1586 loss: 1.1586 2022/08/04 09:14:54 - mmengine - INFO - Epoch(train) [105][1060/1879] lr: 1.0000e-03 eta: 1 day, 10:07:43 time: 0.4301 data_time: 0.0195 memory: 17087 grad_norm: 5.7970 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2438 loss: 1.2438 2022/08/04 09:15:02 - mmengine - INFO - Epoch(train) [105][1080/1879] lr: 1.0000e-03 eta: 1 day, 10:07:34 time: 0.4271 data_time: 0.0161 memory: 17087 grad_norm: 5.4079 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1422 loss: 1.1422 2022/08/04 09:15:11 - mmengine - INFO - Epoch(train) [105][1100/1879] lr: 1.0000e-03 eta: 1 day, 10:07:25 time: 0.4268 data_time: 0.0155 memory: 17087 grad_norm: 5.2590 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2856 loss: 1.2856 2022/08/04 09:15:20 - mmengine - INFO - Epoch(train) [105][1120/1879] lr: 1.0000e-03 eta: 1 day, 10:07:17 time: 0.4542 data_time: 0.0174 memory: 17087 grad_norm: 5.4657 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0935 loss: 1.0935 2022/08/04 09:15:28 - mmengine - INFO - Epoch(train) [105][1140/1879] lr: 1.0000e-03 eta: 1 day, 10:07:09 time: 0.4310 data_time: 0.0186 memory: 17087 grad_norm: 5.4261 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2152 loss: 1.2152 2022/08/04 09:15:38 - mmengine - INFO - Epoch(train) [105][1160/1879] lr: 1.0000e-03 eta: 1 day, 10:07:01 time: 0.4560 data_time: 0.0165 memory: 17087 grad_norm: 5.3594 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2075 loss: 1.2075 2022/08/04 09:15:46 - mmengine - INFO - Epoch(train) [105][1180/1879] lr: 1.0000e-03 eta: 1 day, 10:06:52 time: 0.4280 data_time: 0.0132 memory: 17087 grad_norm: 5.2005 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0301 loss: 1.0301 2022/08/04 09:15:55 - mmengine - INFO - Epoch(train) [105][1200/1879] lr: 1.0000e-03 eta: 1 day, 10:06:43 time: 0.4367 data_time: 0.0199 memory: 17087 grad_norm: 5.3405 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.3132 loss: 1.3132 2022/08/04 09:16:04 - mmengine - INFO - Epoch(train) [105][1220/1879] lr: 1.0000e-03 eta: 1 day, 10:06:36 time: 0.4637 data_time: 0.0144 memory: 17087 grad_norm: 5.2850 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1693 loss: 1.1693 2022/08/04 09:16:13 - mmengine - INFO - Epoch(train) [105][1240/1879] lr: 1.0000e-03 eta: 1 day, 10:06:27 time: 0.4278 data_time: 0.0172 memory: 17087 grad_norm: 5.2577 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1745 loss: 1.1745 2022/08/04 09:16:21 - mmengine - INFO - Epoch(train) [105][1260/1879] lr: 1.0000e-03 eta: 1 day, 10:06:18 time: 0.4339 data_time: 0.0189 memory: 17087 grad_norm: 5.2940 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2293 loss: 1.2293 2022/08/04 09:16:31 - mmengine - INFO - Epoch(train) [105][1280/1879] lr: 1.0000e-03 eta: 1 day, 10:06:11 time: 0.4644 data_time: 0.0173 memory: 17087 grad_norm: 5.3783 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0767 loss: 1.0767 2022/08/04 09:16:39 - mmengine - INFO - Epoch(train) [105][1300/1879] lr: 1.0000e-03 eta: 1 day, 10:06:02 time: 0.4296 data_time: 0.0136 memory: 17087 grad_norm: 5.3214 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1250 loss: 1.1250 2022/08/04 09:16:49 - mmengine - INFO - Epoch(train) [105][1320/1879] lr: 1.0000e-03 eta: 1 day, 10:05:54 time: 0.4646 data_time: 0.0176 memory: 17087 grad_norm: 5.4129 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1788 loss: 1.1788 2022/08/04 09:16:57 - mmengine - INFO - Epoch(train) [105][1340/1879] lr: 1.0000e-03 eta: 1 day, 10:05:46 time: 0.4285 data_time: 0.0146 memory: 17087 grad_norm: 5.3423 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0353 loss: 1.0353 2022/08/04 09:17:06 - mmengine - INFO - Epoch(train) [105][1360/1879] lr: 1.0000e-03 eta: 1 day, 10:05:37 time: 0.4453 data_time: 0.0215 memory: 17087 grad_norm: 5.4488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0586 loss: 1.0586 2022/08/04 09:17:15 - mmengine - INFO - Epoch(train) [105][1380/1879] lr: 1.0000e-03 eta: 1 day, 10:05:29 time: 0.4293 data_time: 0.0148 memory: 17087 grad_norm: 5.3792 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2112 loss: 1.2112 2022/08/04 09:17:24 - mmengine - INFO - Epoch(train) [105][1400/1879] lr: 1.0000e-03 eta: 1 day, 10:05:21 time: 0.4537 data_time: 0.0181 memory: 17087 grad_norm: 5.2509 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1499 loss: 1.1499 2022/08/04 09:17:32 - mmengine - INFO - Epoch(train) [105][1420/1879] lr: 1.0000e-03 eta: 1 day, 10:05:12 time: 0.4251 data_time: 0.0145 memory: 17087 grad_norm: 5.4906 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1027 loss: 1.1027 2022/08/04 09:17:41 - mmengine - INFO - Epoch(train) [105][1440/1879] lr: 1.0000e-03 eta: 1 day, 10:05:03 time: 0.4288 data_time: 0.0170 memory: 17087 grad_norm: 5.2605 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0274 loss: 1.0274 2022/08/04 09:17:49 - mmengine - INFO - Epoch(train) [105][1460/1879] lr: 1.0000e-03 eta: 1 day, 10:04:54 time: 0.4261 data_time: 0.0138 memory: 17087 grad_norm: 5.3698 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9265 loss: 0.9265 2022/08/04 09:17:59 - mmengine - INFO - Epoch(train) [105][1480/1879] lr: 1.0000e-03 eta: 1 day, 10:04:46 time: 0.4534 data_time: 0.0165 memory: 17087 grad_norm: 5.4572 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9879 loss: 0.9879 2022/08/04 09:18:07 - mmengine - INFO - Epoch(train) [105][1500/1879] lr: 1.0000e-03 eta: 1 day, 10:04:37 time: 0.4259 data_time: 0.0129 memory: 17087 grad_norm: 5.4334 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1245 loss: 1.1245 2022/08/04 09:18:16 - mmengine - INFO - Epoch(train) [105][1520/1879] lr: 1.0000e-03 eta: 1 day, 10:04:29 time: 0.4323 data_time: 0.0180 memory: 17087 grad_norm: 5.4486 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1113 loss: 1.1113 2022/08/04 09:18:24 - mmengine - INFO - Epoch(train) [105][1540/1879] lr: 1.0000e-03 eta: 1 day, 10:04:20 time: 0.4262 data_time: 0.0125 memory: 17087 grad_norm: 5.2804 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9329 loss: 0.9329 2022/08/04 09:18:33 - mmengine - INFO - Epoch(train) [105][1560/1879] lr: 1.0000e-03 eta: 1 day, 10:04:11 time: 0.4312 data_time: 0.0166 memory: 17087 grad_norm: 5.3580 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.3037 loss: 1.3037 2022/08/04 09:18:41 - mmengine - INFO - Epoch(train) [105][1580/1879] lr: 1.0000e-03 eta: 1 day, 10:04:03 time: 0.4267 data_time: 0.0133 memory: 17087 grad_norm: 5.4952 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1305 loss: 1.1305 2022/08/04 09:18:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 09:18:50 - mmengine - INFO - Epoch(train) [105][1600/1879] lr: 1.0000e-03 eta: 1 day, 10:03:54 time: 0.4394 data_time: 0.0170 memory: 17087 grad_norm: 5.3258 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1070 loss: 1.1070 2022/08/04 09:18:59 - mmengine - INFO - Epoch(train) [105][1620/1879] lr: 1.0000e-03 eta: 1 day, 10:03:46 time: 0.4535 data_time: 0.0159 memory: 17087 grad_norm: 5.2660 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9910 loss: 0.9910 2022/08/04 09:19:08 - mmengine - INFO - Epoch(train) [105][1640/1879] lr: 1.0000e-03 eta: 1 day, 10:03:37 time: 0.4300 data_time: 0.0164 memory: 17087 grad_norm: 5.5156 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1764 loss: 1.1764 2022/08/04 09:19:17 - mmengine - INFO - Epoch(train) [105][1660/1879] lr: 1.0000e-03 eta: 1 day, 10:03:29 time: 0.4404 data_time: 0.0166 memory: 17087 grad_norm: 5.4317 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.4015 loss: 1.4015 2022/08/04 09:19:25 - mmengine - INFO - Epoch(train) [105][1680/1879] lr: 1.0000e-03 eta: 1 day, 10:03:20 time: 0.4287 data_time: 0.0169 memory: 17087 grad_norm: 5.3168 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1062 loss: 1.1062 2022/08/04 09:19:34 - mmengine - INFO - Epoch(train) [105][1700/1879] lr: 1.0000e-03 eta: 1 day, 10:03:12 time: 0.4536 data_time: 0.0155 memory: 17087 grad_norm: 5.2851 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2712 loss: 1.2712 2022/08/04 09:19:43 - mmengine - INFO - Epoch(train) [105][1720/1879] lr: 1.0000e-03 eta: 1 day, 10:03:04 time: 0.4301 data_time: 0.0170 memory: 17087 grad_norm: 5.2880 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1522 loss: 1.1522 2022/08/04 09:19:52 - mmengine - INFO - Epoch(train) [105][1740/1879] lr: 1.0000e-03 eta: 1 day, 10:02:55 time: 0.4251 data_time: 0.0140 memory: 17087 grad_norm: 5.3158 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0873 loss: 1.0873 2022/08/04 09:20:01 - mmengine - INFO - Epoch(train) [105][1760/1879] lr: 1.0000e-03 eta: 1 day, 10:02:47 time: 0.4564 data_time: 0.0156 memory: 17087 grad_norm: 5.2837 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0677 loss: 1.0677 2022/08/04 09:20:09 - mmengine - INFO - Epoch(train) [105][1780/1879] lr: 1.0000e-03 eta: 1 day, 10:02:38 time: 0.4365 data_time: 0.0219 memory: 17087 grad_norm: 5.5094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1214 loss: 1.1214 2022/08/04 09:20:19 - mmengine - INFO - Epoch(train) [105][1800/1879] lr: 1.0000e-03 eta: 1 day, 10:02:30 time: 0.4516 data_time: 0.0162 memory: 17087 grad_norm: 5.3883 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1620 loss: 1.1620 2022/08/04 09:20:27 - mmengine - INFO - Epoch(train) [105][1820/1879] lr: 1.0000e-03 eta: 1 day, 10:02:22 time: 0.4316 data_time: 0.0198 memory: 17087 grad_norm: 5.3305 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1354 loss: 1.1354 2022/08/04 09:20:36 - mmengine - INFO - Epoch(train) [105][1840/1879] lr: 1.0000e-03 eta: 1 day, 10:02:14 time: 0.4509 data_time: 0.0154 memory: 17087 grad_norm: 5.4403 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3806 loss: 1.3806 2022/08/04 09:20:45 - mmengine - INFO - Epoch(train) [105][1860/1879] lr: 1.0000e-03 eta: 1 day, 10:02:05 time: 0.4306 data_time: 0.0162 memory: 17087 grad_norm: 5.3294 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0490 loss: 1.0490 2022/08/04 09:20:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 09:20:53 - mmengine - INFO - Epoch(train) [105][1879/1879] lr: 1.0000e-03 eta: 1 day, 10:02:05 time: 0.4096 data_time: 0.0142 memory: 17087 grad_norm: 5.3734 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.1337 loss: 1.1337 2022/08/04 09:21:00 - mmengine - INFO - Epoch(val) [105][20/155] eta: 0:00:50 time: 0.3734 data_time: 0.2021 memory: 2821 2022/08/04 09:21:05 - mmengine - INFO - Epoch(val) [105][40/155] eta: 0:00:27 time: 0.2402 data_time: 0.0706 memory: 2821 2022/08/04 09:21:11 - mmengine - INFO - Epoch(val) [105][60/155] eta: 0:00:30 time: 0.3160 data_time: 0.1488 memory: 2821 2022/08/04 09:21:16 - mmengine - INFO - Epoch(val) [105][80/155] eta: 0:00:19 time: 0.2614 data_time: 0.0927 memory: 2821 2022/08/04 09:21:23 - mmengine - INFO - Epoch(val) [105][100/155] eta: 0:00:17 time: 0.3172 data_time: 0.1480 memory: 2821 2022/08/04 09:21:28 - mmengine - INFO - Epoch(val) [105][120/155] eta: 0:00:09 time: 0.2583 data_time: 0.0883 memory: 2821 2022/08/04 09:21:34 - mmengine - INFO - Epoch(val) [105][140/155] eta: 0:00:04 time: 0.3198 data_time: 0.1520 memory: 2821 2022/08/04 09:21:40 - mmengine - INFO - Epoch(val) [105][155/155] acc/top1: 0.6962 acc/top5: 0.8868 acc/mean1: 0.6961 2022/08/04 09:21:40 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_66.pth is removed 2022/08/04 09:21:42 - mmengine - INFO - The best checkpoint with 0.6962 acc/top1 at 106 epoch is saved to best_acc/top1_epoch_106.pth. 2022/08/04 09:21:53 - mmengine - INFO - Epoch(train) [106][20/1879] lr: 1.0000e-03 eta: 1 day, 10:01:39 time: 0.5263 data_time: 0.1112 memory: 17087 grad_norm: 5.1658 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8757 loss: 0.8757 2022/08/04 09:22:01 - mmengine - INFO - Epoch(train) [106][40/1879] lr: 1.0000e-03 eta: 1 day, 10:01:30 time: 0.4344 data_time: 0.0172 memory: 17087 grad_norm: 5.3616 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2280 loss: 1.2280 2022/08/04 09:22:10 - mmengine - INFO - Epoch(train) [106][60/1879] lr: 1.0000e-03 eta: 1 day, 10:01:22 time: 0.4335 data_time: 0.0173 memory: 17087 grad_norm: 5.3387 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1232 loss: 1.1232 2022/08/04 09:22:19 - mmengine - INFO - Epoch(train) [106][80/1879] lr: 1.0000e-03 eta: 1 day, 10:01:14 time: 0.4502 data_time: 0.0211 memory: 17087 grad_norm: 5.2819 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0787 loss: 1.0787 2022/08/04 09:22:28 - mmengine - INFO - Epoch(train) [106][100/1879] lr: 1.0000e-03 eta: 1 day, 10:01:05 time: 0.4292 data_time: 0.0157 memory: 17087 grad_norm: 5.2302 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1622 loss: 1.1622 2022/08/04 09:22:36 - mmengine - INFO - Epoch(train) [106][120/1879] lr: 1.0000e-03 eta: 1 day, 10:00:56 time: 0.4274 data_time: 0.0163 memory: 17087 grad_norm: 5.2685 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0122 loss: 1.0122 2022/08/04 09:22:45 - mmengine - INFO - Epoch(train) [106][140/1879] lr: 1.0000e-03 eta: 1 day, 10:00:48 time: 0.4568 data_time: 0.0199 memory: 17087 grad_norm: 5.3940 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2931 loss: 1.2931 2022/08/04 09:22:54 - mmengine - INFO - Epoch(train) [106][160/1879] lr: 1.0000e-03 eta: 1 day, 10:00:40 time: 0.4281 data_time: 0.0161 memory: 17087 grad_norm: 5.1732 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0284 loss: 1.0284 2022/08/04 09:23:03 - mmengine - INFO - Epoch(train) [106][180/1879] lr: 1.0000e-03 eta: 1 day, 10:00:31 time: 0.4265 data_time: 0.0151 memory: 17087 grad_norm: 5.3995 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9960 loss: 0.9960 2022/08/04 09:23:12 - mmengine - INFO - Epoch(train) [106][200/1879] lr: 1.0000e-03 eta: 1 day, 10:00:23 time: 0.4641 data_time: 0.0188 memory: 17087 grad_norm: 5.3503 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1732 loss: 1.1732 2022/08/04 09:23:21 - mmengine - INFO - Epoch(train) [106][220/1879] lr: 1.0000e-03 eta: 1 day, 10:00:15 time: 0.4379 data_time: 0.0214 memory: 17087 grad_norm: 5.3579 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0463 loss: 1.0463 2022/08/04 09:23:29 - mmengine - INFO - Epoch(train) [106][240/1879] lr: 1.0000e-03 eta: 1 day, 10:00:06 time: 0.4286 data_time: 0.0160 memory: 17087 grad_norm: 5.5067 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9651 loss: 0.9651 2022/08/04 09:23:38 - mmengine - INFO - Epoch(train) [106][260/1879] lr: 1.0000e-03 eta: 1 day, 9:59:58 time: 0.4504 data_time: 0.0157 memory: 17087 grad_norm: 5.4758 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0115 loss: 1.0115 2022/08/04 09:23:47 - mmengine - INFO - Epoch(train) [106][280/1879] lr: 1.0000e-03 eta: 1 day, 9:59:49 time: 0.4289 data_time: 0.0166 memory: 17087 grad_norm: 5.3296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2433 loss: 1.2433 2022/08/04 09:23:55 - mmengine - INFO - Epoch(train) [106][300/1879] lr: 1.0000e-03 eta: 1 day, 9:59:40 time: 0.4276 data_time: 0.0157 memory: 17087 grad_norm: 5.1571 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0647 loss: 1.0647 2022/08/04 09:24:04 - mmengine - INFO - Epoch(train) [106][320/1879] lr: 1.0000e-03 eta: 1 day, 9:59:32 time: 0.4550 data_time: 0.0165 memory: 17087 grad_norm: 5.5285 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.2702 loss: 1.2702 2022/08/04 09:24:13 - mmengine - INFO - Epoch(train) [106][340/1879] lr: 1.0000e-03 eta: 1 day, 9:59:24 time: 0.4288 data_time: 0.0141 memory: 17087 grad_norm: 5.4820 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0961 loss: 1.0961 2022/08/04 09:24:22 - mmengine - INFO - Epoch(train) [106][360/1879] lr: 1.0000e-03 eta: 1 day, 9:59:15 time: 0.4362 data_time: 0.0241 memory: 17087 grad_norm: 5.4798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0029 loss: 1.0029 2022/08/04 09:24:31 - mmengine - INFO - Epoch(train) [106][380/1879] lr: 1.0000e-03 eta: 1 day, 9:59:07 time: 0.4531 data_time: 0.0159 memory: 17087 grad_norm: 5.3351 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0851 loss: 1.0851 2022/08/04 09:24:40 - mmengine - INFO - Epoch(train) [106][400/1879] lr: 1.0000e-03 eta: 1 day, 9:58:59 time: 0.4339 data_time: 0.0180 memory: 17087 grad_norm: 5.3456 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0534 loss: 1.0534 2022/08/04 09:24:48 - mmengine - INFO - Epoch(train) [106][420/1879] lr: 1.0000e-03 eta: 1 day, 9:58:50 time: 0.4289 data_time: 0.0151 memory: 17087 grad_norm: 5.5813 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1569 loss: 1.1569 2022/08/04 09:24:57 - mmengine - INFO - Epoch(train) [106][440/1879] lr: 1.0000e-03 eta: 1 day, 9:58:42 time: 0.4553 data_time: 0.0181 memory: 17087 grad_norm: 5.3615 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1815 loss: 1.1815 2022/08/04 09:25:06 - mmengine - INFO - Epoch(train) [106][460/1879] lr: 1.0000e-03 eta: 1 day, 9:58:33 time: 0.4265 data_time: 0.0157 memory: 17087 grad_norm: 5.3092 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0698 loss: 1.0698 2022/08/04 09:25:15 - mmengine - INFO - Epoch(train) [106][480/1879] lr: 1.0000e-03 eta: 1 day, 9:58:25 time: 0.4605 data_time: 0.0206 memory: 17087 grad_norm: 5.3338 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1498 loss: 1.1498 2022/08/04 09:25:24 - mmengine - INFO - Epoch(train) [106][500/1879] lr: 1.0000e-03 eta: 1 day, 9:58:16 time: 0.4262 data_time: 0.0137 memory: 17087 grad_norm: 5.3335 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1157 loss: 1.1157 2022/08/04 09:25:32 - mmengine - INFO - Epoch(train) [106][520/1879] lr: 1.0000e-03 eta: 1 day, 9:58:08 time: 0.4315 data_time: 0.0204 memory: 17087 grad_norm: 5.3933 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1850 loss: 1.1850 2022/08/04 09:25:41 - mmengine - INFO - Epoch(train) [106][540/1879] lr: 1.0000e-03 eta: 1 day, 9:57:59 time: 0.4301 data_time: 0.0162 memory: 17087 grad_norm: 5.4168 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0702 loss: 1.0702 2022/08/04 09:25:49 - mmengine - INFO - Epoch(train) [106][560/1879] lr: 1.0000e-03 eta: 1 day, 9:57:50 time: 0.4263 data_time: 0.0149 memory: 17087 grad_norm: 5.5127 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0757 loss: 1.0757 2022/08/04 09:25:59 - mmengine - INFO - Epoch(train) [106][580/1879] lr: 1.0000e-03 eta: 1 day, 9:57:43 time: 0.4641 data_time: 0.0167 memory: 17087 grad_norm: 5.3762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0807 loss: 1.0807 2022/08/04 09:26:07 - mmengine - INFO - Epoch(train) [106][600/1879] lr: 1.0000e-03 eta: 1 day, 9:57:34 time: 0.4289 data_time: 0.0154 memory: 17087 grad_norm: 5.3467 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0367 loss: 1.0367 2022/08/04 09:26:16 - mmengine - INFO - Epoch(train) [106][620/1879] lr: 1.0000e-03 eta: 1 day, 9:57:25 time: 0.4384 data_time: 0.0211 memory: 17087 grad_norm: 5.4399 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0361 loss: 1.0361 2022/08/04 09:26:25 - mmengine - INFO - Epoch(train) [106][640/1879] lr: 1.0000e-03 eta: 1 day, 9:57:17 time: 0.4265 data_time: 0.0159 memory: 17087 grad_norm: 5.3272 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1631 loss: 1.1631 2022/08/04 09:26:33 - mmengine - INFO - Epoch(train) [106][660/1879] lr: 1.0000e-03 eta: 1 day, 9:57:08 time: 0.4276 data_time: 0.0148 memory: 17087 grad_norm: 5.4894 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9687 loss: 0.9687 2022/08/04 09:26:42 - mmengine - INFO - Epoch(train) [106][680/1879] lr: 1.0000e-03 eta: 1 day, 9:56:59 time: 0.4342 data_time: 0.0191 memory: 17087 grad_norm: 5.3070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1714 loss: 1.1714 2022/08/04 09:26:50 - mmengine - INFO - Epoch(train) [106][700/1879] lr: 1.0000e-03 eta: 1 day, 9:56:51 time: 0.4265 data_time: 0.0140 memory: 17087 grad_norm: 5.3519 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1560 loss: 1.1560 2022/08/04 09:26:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 09:26:59 - mmengine - INFO - Epoch(train) [106][720/1879] lr: 1.0000e-03 eta: 1 day, 9:56:42 time: 0.4289 data_time: 0.0164 memory: 17087 grad_norm: 5.4931 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0365 loss: 1.0365 2022/08/04 09:27:08 - mmengine - INFO - Epoch(train) [106][740/1879] lr: 1.0000e-03 eta: 1 day, 9:56:33 time: 0.4390 data_time: 0.0173 memory: 17087 grad_norm: 5.3893 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1646 loss: 1.1646 2022/08/04 09:27:17 - mmengine - INFO - Epoch(train) [106][760/1879] lr: 1.0000e-03 eta: 1 day, 9:56:25 time: 0.4460 data_time: 0.0162 memory: 17087 grad_norm: 5.4262 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0792 loss: 1.0792 2022/08/04 09:27:25 - mmengine - INFO - Epoch(train) [106][780/1879] lr: 1.0000e-03 eta: 1 day, 9:56:17 time: 0.4331 data_time: 0.0178 memory: 17087 grad_norm: 5.2467 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1512 loss: 1.1512 2022/08/04 09:27:34 - mmengine - INFO - Epoch(train) [106][800/1879] lr: 1.0000e-03 eta: 1 day, 9:56:08 time: 0.4277 data_time: 0.0158 memory: 17087 grad_norm: 5.4243 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0306 loss: 1.0306 2022/08/04 09:27:42 - mmengine - INFO - Epoch(train) [106][820/1879] lr: 1.0000e-03 eta: 1 day, 9:55:59 time: 0.4256 data_time: 0.0153 memory: 17087 grad_norm: 5.5175 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1282 loss: 1.1282 2022/08/04 09:27:51 - mmengine - INFO - Epoch(train) [106][840/1879] lr: 1.0000e-03 eta: 1 day, 9:55:51 time: 0.4372 data_time: 0.0161 memory: 17087 grad_norm: 5.4662 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1882 loss: 1.1882 2022/08/04 09:28:00 - mmengine - INFO - Epoch(train) [106][860/1879] lr: 1.0000e-03 eta: 1 day, 9:55:42 time: 0.4278 data_time: 0.0144 memory: 17087 grad_norm: 5.2732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0376 loss: 1.0376 2022/08/04 09:28:09 - mmengine - INFO - Epoch(train) [106][880/1879] lr: 1.0000e-03 eta: 1 day, 9:55:34 time: 0.4542 data_time: 0.0160 memory: 17087 grad_norm: 5.4601 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0712 loss: 1.0712 2022/08/04 09:28:17 - mmengine - INFO - Epoch(train) [106][900/1879] lr: 1.0000e-03 eta: 1 day, 9:55:25 time: 0.4257 data_time: 0.0146 memory: 17087 grad_norm: 5.3169 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9949 loss: 0.9949 2022/08/04 09:28:27 - mmengine - INFO - Epoch(train) [106][920/1879] lr: 1.0000e-03 eta: 1 day, 9:55:17 time: 0.4579 data_time: 0.0196 memory: 17087 grad_norm: 5.3055 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1625 loss: 1.1625 2022/08/04 09:28:35 - mmengine - INFO - Epoch(train) [106][940/1879] lr: 1.0000e-03 eta: 1 day, 9:55:08 time: 0.4289 data_time: 0.0155 memory: 17087 grad_norm: 5.3193 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2584 loss: 1.2584 2022/08/04 09:28:44 - mmengine - INFO - Epoch(train) [106][960/1879] lr: 1.0000e-03 eta: 1 day, 9:55:00 time: 0.4525 data_time: 0.0164 memory: 17087 grad_norm: 5.4744 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2439 loss: 1.2439 2022/08/04 09:28:53 - mmengine - INFO - Epoch(train) [106][980/1879] lr: 1.0000e-03 eta: 1 day, 9:54:52 time: 0.4278 data_time: 0.0133 memory: 17087 grad_norm: 5.0828 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0199 loss: 1.0199 2022/08/04 09:29:01 - mmengine - INFO - Epoch(train) [106][1000/1879] lr: 1.0000e-03 eta: 1 day, 9:54:43 time: 0.4266 data_time: 0.0162 memory: 17087 grad_norm: 5.5182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1761 loss: 1.1761 2022/08/04 09:29:10 - mmengine - INFO - Epoch(train) [106][1020/1879] lr: 1.0000e-03 eta: 1 day, 9:54:34 time: 0.4382 data_time: 0.0187 memory: 17087 grad_norm: 5.3849 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9507 loss: 0.9507 2022/08/04 09:29:19 - mmengine - INFO - Epoch(train) [106][1040/1879] lr: 1.0000e-03 eta: 1 day, 9:54:26 time: 0.4336 data_time: 0.0150 memory: 17087 grad_norm: 5.3408 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1835 loss: 1.1835 2022/08/04 09:29:28 - mmengine - INFO - Epoch(train) [106][1060/1879] lr: 1.0000e-03 eta: 1 day, 9:54:17 time: 0.4411 data_time: 0.0161 memory: 17087 grad_norm: 5.2061 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9603 loss: 0.9603 2022/08/04 09:29:36 - mmengine - INFO - Epoch(train) [106][1080/1879] lr: 1.0000e-03 eta: 1 day, 9:54:09 time: 0.4312 data_time: 0.0149 memory: 17087 grad_norm: 5.3565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1361 loss: 1.1361 2022/08/04 09:29:45 - mmengine - INFO - Epoch(train) [106][1100/1879] lr: 1.0000e-03 eta: 1 day, 9:54:00 time: 0.4404 data_time: 0.0163 memory: 17087 grad_norm: 5.4562 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0798 loss: 1.0798 2022/08/04 09:29:54 - mmengine - INFO - Epoch(train) [106][1120/1879] lr: 1.0000e-03 eta: 1 day, 9:53:52 time: 0.4290 data_time: 0.0159 memory: 17087 grad_norm: 5.1606 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0488 loss: 1.0488 2022/08/04 09:30:02 - mmengine - INFO - Epoch(train) [106][1140/1879] lr: 1.0000e-03 eta: 1 day, 9:53:43 time: 0.4276 data_time: 0.0136 memory: 17087 grad_norm: 5.4006 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0909 loss: 1.0909 2022/08/04 09:30:11 - mmengine - INFO - Epoch(train) [106][1160/1879] lr: 1.0000e-03 eta: 1 day, 9:53:34 time: 0.4410 data_time: 0.0180 memory: 17087 grad_norm: 5.3848 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9805 loss: 0.9805 2022/08/04 09:30:20 - mmengine - INFO - Epoch(train) [106][1180/1879] lr: 1.0000e-03 eta: 1 day, 9:53:26 time: 0.4377 data_time: 0.0159 memory: 17087 grad_norm: 5.3779 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0677 loss: 1.0677 2022/08/04 09:30:29 - mmengine - INFO - Epoch(train) [106][1200/1879] lr: 1.0000e-03 eta: 1 day, 9:53:17 time: 0.4307 data_time: 0.0177 memory: 17087 grad_norm: 5.2660 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9041 loss: 0.9041 2022/08/04 09:30:37 - mmengine - INFO - Epoch(train) [106][1220/1879] lr: 1.0000e-03 eta: 1 day, 9:53:09 time: 0.4308 data_time: 0.0166 memory: 17087 grad_norm: 5.3734 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2139 loss: 1.2139 2022/08/04 09:30:46 - mmengine - INFO - Epoch(train) [106][1240/1879] lr: 1.0000e-03 eta: 1 day, 9:53:01 time: 0.4525 data_time: 0.0158 memory: 17087 grad_norm: 5.3143 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9539 loss: 0.9539 2022/08/04 09:30:55 - mmengine - INFO - Epoch(train) [106][1260/1879] lr: 1.0000e-03 eta: 1 day, 9:52:52 time: 0.4265 data_time: 0.0139 memory: 17087 grad_norm: 5.4244 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1469 loss: 1.1469 2022/08/04 09:31:03 - mmengine - INFO - Epoch(train) [106][1280/1879] lr: 1.0000e-03 eta: 1 day, 9:52:43 time: 0.4267 data_time: 0.0152 memory: 17087 grad_norm: 5.4939 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0511 loss: 1.0511 2022/08/04 09:31:12 - mmengine - INFO - Epoch(train) [106][1300/1879] lr: 1.0000e-03 eta: 1 day, 9:52:35 time: 0.4460 data_time: 0.0159 memory: 17087 grad_norm: 5.3756 top1_acc: 0.3750 top5_acc: 0.5625 loss_cls: 1.0796 loss: 1.0796 2022/08/04 09:31:21 - mmengine - INFO - Epoch(train) [106][1320/1879] lr: 1.0000e-03 eta: 1 day, 9:52:26 time: 0.4399 data_time: 0.0166 memory: 17087 grad_norm: 5.4383 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0384 loss: 1.0384 2022/08/04 09:31:30 - mmengine - INFO - Epoch(train) [106][1340/1879] lr: 1.0000e-03 eta: 1 day, 9:52:18 time: 0.4254 data_time: 0.0146 memory: 17087 grad_norm: 5.4005 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8965 loss: 0.8965 2022/08/04 09:31:38 - mmengine - INFO - Epoch(train) [106][1360/1879] lr: 1.0000e-03 eta: 1 day, 9:52:09 time: 0.4323 data_time: 0.0156 memory: 17087 grad_norm: 5.4783 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0766 loss: 1.0766 2022/08/04 09:31:47 - mmengine - INFO - Epoch(train) [106][1380/1879] lr: 1.0000e-03 eta: 1 day, 9:52:00 time: 0.4331 data_time: 0.0149 memory: 17087 grad_norm: 5.5026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0814 loss: 1.0814 2022/08/04 09:31:56 - mmengine - INFO - Epoch(train) [106][1400/1879] lr: 1.0000e-03 eta: 1 day, 9:51:52 time: 0.4322 data_time: 0.0166 memory: 17087 grad_norm: 5.3369 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9071 loss: 0.9071 2022/08/04 09:32:04 - mmengine - INFO - Epoch(train) [106][1420/1879] lr: 1.0000e-03 eta: 1 day, 9:51:43 time: 0.4325 data_time: 0.0134 memory: 17087 grad_norm: 5.3992 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1858 loss: 1.1858 2022/08/04 09:32:13 - mmengine - INFO - Epoch(train) [106][1440/1879] lr: 1.0000e-03 eta: 1 day, 9:51:34 time: 0.4298 data_time: 0.0167 memory: 17087 grad_norm: 5.2401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9767 loss: 0.9767 2022/08/04 09:32:22 - mmengine - INFO - Epoch(train) [106][1460/1879] lr: 1.0000e-03 eta: 1 day, 9:51:26 time: 0.4488 data_time: 0.0148 memory: 17087 grad_norm: 5.5221 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1228 loss: 1.1228 2022/08/04 09:32:30 - mmengine - INFO - Epoch(train) [106][1480/1879] lr: 1.0000e-03 eta: 1 day, 9:51:18 time: 0.4285 data_time: 0.0157 memory: 17087 grad_norm: 5.3680 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0718 loss: 1.0718 2022/08/04 09:32:40 - mmengine - INFO - Epoch(train) [106][1500/1879] lr: 1.0000e-03 eta: 1 day, 9:51:10 time: 0.4619 data_time: 0.0210 memory: 17087 grad_norm: 5.3568 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0142 loss: 1.0142 2022/08/04 09:32:48 - mmengine - INFO - Epoch(train) [106][1520/1879] lr: 1.0000e-03 eta: 1 day, 9:51:01 time: 0.4283 data_time: 0.0166 memory: 17087 grad_norm: 5.4336 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2245 loss: 1.2245 2022/08/04 09:32:58 - mmengine - INFO - Epoch(train) [106][1540/1879] lr: 1.0000e-03 eta: 1 day, 9:50:53 time: 0.4665 data_time: 0.0207 memory: 17087 grad_norm: 5.3930 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9659 loss: 0.9659 2022/08/04 09:33:06 - mmengine - INFO - Epoch(train) [106][1560/1879] lr: 1.0000e-03 eta: 1 day, 9:50:45 time: 0.4297 data_time: 0.0162 memory: 17087 grad_norm: 5.5633 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1715 loss: 1.1715 2022/08/04 09:33:15 - mmengine - INFO - Epoch(train) [106][1580/1879] lr: 1.0000e-03 eta: 1 day, 9:50:37 time: 0.4574 data_time: 0.0208 memory: 17087 grad_norm: 5.3190 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1853 loss: 1.1853 2022/08/04 09:33:24 - mmengine - INFO - Epoch(train) [106][1600/1879] lr: 1.0000e-03 eta: 1 day, 9:50:28 time: 0.4282 data_time: 0.0156 memory: 17087 grad_norm: 5.3752 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0926 loss: 1.0926 2022/08/04 09:33:32 - mmengine - INFO - Epoch(train) [106][1620/1879] lr: 1.0000e-03 eta: 1 day, 9:50:19 time: 0.4260 data_time: 0.0143 memory: 17087 grad_norm: 5.3048 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2010 loss: 1.2010 2022/08/04 09:33:41 - mmengine - INFO - Epoch(train) [106][1640/1879] lr: 1.0000e-03 eta: 1 day, 9:50:11 time: 0.4416 data_time: 0.0177 memory: 17087 grad_norm: 5.4075 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2537 loss: 1.2537 2022/08/04 09:33:50 - mmengine - INFO - Epoch(train) [106][1660/1879] lr: 1.0000e-03 eta: 1 day, 9:50:02 time: 0.4272 data_time: 0.0181 memory: 17087 grad_norm: 5.3536 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0885 loss: 1.0885 2022/08/04 09:33:59 - mmengine - INFO - Epoch(train) [106][1680/1879] lr: 1.0000e-03 eta: 1 day, 9:49:54 time: 0.4323 data_time: 0.0170 memory: 17087 grad_norm: 5.3719 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0696 loss: 1.0696 2022/08/04 09:34:07 - mmengine - INFO - Epoch(train) [106][1700/1879] lr: 1.0000e-03 eta: 1 day, 9:49:45 time: 0.4282 data_time: 0.0150 memory: 17087 grad_norm: 5.3618 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1572 loss: 1.1572 2022/08/04 09:34:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 09:34:16 - mmengine - INFO - Epoch(train) [106][1720/1879] lr: 1.0000e-03 eta: 1 day, 9:49:36 time: 0.4337 data_time: 0.0170 memory: 17087 grad_norm: 5.4318 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2242 loss: 1.2242 2022/08/04 09:34:25 - mmengine - INFO - Epoch(train) [106][1740/1879] lr: 1.0000e-03 eta: 1 day, 9:49:28 time: 0.4419 data_time: 0.0145 memory: 17087 grad_norm: 5.5469 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1775 loss: 1.1775 2022/08/04 09:34:33 - mmengine - INFO - Epoch(train) [106][1760/1879] lr: 1.0000e-03 eta: 1 day, 9:49:19 time: 0.4282 data_time: 0.0166 memory: 17087 grad_norm: 5.4207 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.3107 loss: 1.3107 2022/08/04 09:34:42 - mmengine - INFO - Epoch(train) [106][1780/1879] lr: 1.0000e-03 eta: 1 day, 9:49:11 time: 0.4498 data_time: 0.0146 memory: 17087 grad_norm: 5.4301 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1406 loss: 1.1406 2022/08/04 09:34:51 - mmengine - INFO - Epoch(train) [106][1800/1879] lr: 1.0000e-03 eta: 1 day, 9:49:02 time: 0.4334 data_time: 0.0163 memory: 17087 grad_norm: 5.3844 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0471 loss: 1.0471 2022/08/04 09:35:00 - mmengine - INFO - Epoch(train) [106][1820/1879] lr: 1.0000e-03 eta: 1 day, 9:48:54 time: 0.4562 data_time: 0.0150 memory: 17087 grad_norm: 5.2912 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1979 loss: 1.1979 2022/08/04 09:35:09 - mmengine - INFO - Epoch(train) [106][1840/1879] lr: 1.0000e-03 eta: 1 day, 9:48:46 time: 0.4357 data_time: 0.0169 memory: 17087 grad_norm: 5.4168 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0381 loss: 1.0381 2022/08/04 09:35:18 - mmengine - INFO - Epoch(train) [106][1860/1879] lr: 1.0000e-03 eta: 1 day, 9:48:37 time: 0.4396 data_time: 0.0157 memory: 17087 grad_norm: 5.2945 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0913 loss: 1.0913 2022/08/04 09:35:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 09:35:25 - mmengine - INFO - Epoch(train) [106][1879/1879] lr: 1.0000e-03 eta: 1 day, 9:48:37 time: 0.4089 data_time: 0.0156 memory: 17087 grad_norm: 5.5493 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.1944 loss: 1.1944 2022/08/04 09:35:37 - mmengine - INFO - Epoch(train) [107][20/1879] lr: 1.0000e-03 eta: 1 day, 9:48:13 time: 0.5621 data_time: 0.1257 memory: 17087 grad_norm: 5.2923 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0350 loss: 1.0350 2022/08/04 09:35:45 - mmengine - INFO - Epoch(train) [107][40/1879] lr: 1.0000e-03 eta: 1 day, 9:48:04 time: 0.4323 data_time: 0.0173 memory: 17087 grad_norm: 5.3220 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1300 loss: 1.1300 2022/08/04 09:35:54 - mmengine - INFO - Epoch(train) [107][60/1879] lr: 1.0000e-03 eta: 1 day, 9:47:55 time: 0.4272 data_time: 0.0132 memory: 17087 grad_norm: 5.4866 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.3260 loss: 1.3260 2022/08/04 09:36:03 - mmengine - INFO - Epoch(train) [107][80/1879] lr: 1.0000e-03 eta: 1 day, 9:47:47 time: 0.4378 data_time: 0.0162 memory: 17087 grad_norm: 5.2531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1352 loss: 1.1352 2022/08/04 09:36:11 - mmengine - INFO - Epoch(train) [107][100/1879] lr: 1.0000e-03 eta: 1 day, 9:47:38 time: 0.4259 data_time: 0.0150 memory: 17087 grad_norm: 5.1222 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1241 loss: 1.1241 2022/08/04 09:36:20 - mmengine - INFO - Epoch(train) [107][120/1879] lr: 1.0000e-03 eta: 1 day, 9:47:29 time: 0.4338 data_time: 0.0167 memory: 17087 grad_norm: 5.3122 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9884 loss: 0.9884 2022/08/04 09:36:28 - mmengine - INFO - Epoch(train) [107][140/1879] lr: 1.0000e-03 eta: 1 day, 9:47:21 time: 0.4274 data_time: 0.0152 memory: 17087 grad_norm: 5.3576 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2363 loss: 1.2363 2022/08/04 09:36:38 - mmengine - INFO - Epoch(train) [107][160/1879] lr: 1.0000e-03 eta: 1 day, 9:47:13 time: 0.4530 data_time: 0.0184 memory: 17087 grad_norm: 5.2205 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1052 loss: 1.1052 2022/08/04 09:36:46 - mmengine - INFO - Epoch(train) [107][180/1879] lr: 1.0000e-03 eta: 1 day, 9:47:04 time: 0.4286 data_time: 0.0159 memory: 17087 grad_norm: 5.2785 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0513 loss: 1.0513 2022/08/04 09:36:55 - mmengine - INFO - Epoch(train) [107][200/1879] lr: 1.0000e-03 eta: 1 day, 9:46:55 time: 0.4329 data_time: 0.0148 memory: 17087 grad_norm: 5.4002 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0050 loss: 1.0050 2022/08/04 09:37:03 - mmengine - INFO - Epoch(train) [107][220/1879] lr: 1.0000e-03 eta: 1 day, 9:46:47 time: 0.4266 data_time: 0.0136 memory: 17087 grad_norm: 5.2033 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0603 loss: 1.0603 2022/08/04 09:37:12 - mmengine - INFO - Epoch(train) [107][240/1879] lr: 1.0000e-03 eta: 1 day, 9:46:38 time: 0.4260 data_time: 0.0149 memory: 17087 grad_norm: 5.3531 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.0889 loss: 1.0889 2022/08/04 09:37:20 - mmengine - INFO - Epoch(train) [107][260/1879] lr: 1.0000e-03 eta: 1 day, 9:46:29 time: 0.4310 data_time: 0.0151 memory: 17087 grad_norm: 5.4251 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1679 loss: 1.1679 2022/08/04 09:37:29 - mmengine - INFO - Epoch(train) [107][280/1879] lr: 1.0000e-03 eta: 1 day, 9:46:20 time: 0.4319 data_time: 0.0160 memory: 17087 grad_norm: 5.4757 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9890 loss: 0.9890 2022/08/04 09:37:38 - mmengine - INFO - Epoch(train) [107][300/1879] lr: 1.0000e-03 eta: 1 day, 9:46:12 time: 0.4497 data_time: 0.0147 memory: 17087 grad_norm: 5.4144 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0198 loss: 1.0198 2022/08/04 09:37:47 - mmengine - INFO - Epoch(train) [107][320/1879] lr: 1.0000e-03 eta: 1 day, 9:46:04 time: 0.4281 data_time: 0.0162 memory: 17087 grad_norm: 5.4994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8967 loss: 0.8967 2022/08/04 09:37:56 - mmengine - INFO - Epoch(train) [107][340/1879] lr: 1.0000e-03 eta: 1 day, 9:45:56 time: 0.4695 data_time: 0.0156 memory: 17087 grad_norm: 5.4424 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2101 loss: 1.2101 2022/08/04 09:38:05 - mmengine - INFO - Epoch(train) [107][360/1879] lr: 1.0000e-03 eta: 1 day, 9:45:47 time: 0.4271 data_time: 0.0151 memory: 17087 grad_norm: 5.5698 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2209 loss: 1.2209 2022/08/04 09:38:13 - mmengine - INFO - Epoch(train) [107][380/1879] lr: 1.0000e-03 eta: 1 day, 9:45:39 time: 0.4270 data_time: 0.0141 memory: 17087 grad_norm: 5.3852 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0182 loss: 1.0182 2022/08/04 09:38:22 - mmengine - INFO - Epoch(train) [107][400/1879] lr: 1.0000e-03 eta: 1 day, 9:45:30 time: 0.4308 data_time: 0.0184 memory: 17087 grad_norm: 5.4732 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0992 loss: 1.0992 2022/08/04 09:38:30 - mmengine - INFO - Epoch(train) [107][420/1879] lr: 1.0000e-03 eta: 1 day, 9:45:21 time: 0.4270 data_time: 0.0150 memory: 17087 grad_norm: 5.3580 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0859 loss: 1.0859 2022/08/04 09:38:40 - mmengine - INFO - Epoch(train) [107][440/1879] lr: 1.0000e-03 eta: 1 day, 9:45:13 time: 0.4549 data_time: 0.0177 memory: 17087 grad_norm: 5.2908 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1826 loss: 1.1826 2022/08/04 09:38:48 - mmengine - INFO - Epoch(train) [107][460/1879] lr: 1.0000e-03 eta: 1 day, 9:45:05 time: 0.4340 data_time: 0.0182 memory: 17087 grad_norm: 5.5641 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1408 loss: 1.1408 2022/08/04 09:38:57 - mmengine - INFO - Epoch(train) [107][480/1879] lr: 1.0000e-03 eta: 1 day, 9:44:56 time: 0.4277 data_time: 0.0154 memory: 17087 grad_norm: 5.4519 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1623 loss: 1.1623 2022/08/04 09:39:06 - mmengine - INFO - Epoch(train) [107][500/1879] lr: 1.0000e-03 eta: 1 day, 9:44:48 time: 0.4561 data_time: 0.0190 memory: 17087 grad_norm: 5.2880 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0071 loss: 1.0071 2022/08/04 09:39:15 - mmengine - INFO - Epoch(train) [107][520/1879] lr: 1.0000e-03 eta: 1 day, 9:44:39 time: 0.4286 data_time: 0.0156 memory: 17087 grad_norm: 5.5212 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1345 loss: 1.1345 2022/08/04 09:39:23 - mmengine - INFO - Epoch(train) [107][540/1879] lr: 1.0000e-03 eta: 1 day, 9:44:30 time: 0.4283 data_time: 0.0142 memory: 17087 grad_norm: 5.3615 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1411 loss: 1.1411 2022/08/04 09:39:32 - mmengine - INFO - Epoch(train) [107][560/1879] lr: 1.0000e-03 eta: 1 day, 9:44:23 time: 0.4623 data_time: 0.0172 memory: 17087 grad_norm: 5.2812 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0700 loss: 1.0700 2022/08/04 09:39:41 - mmengine - INFO - Epoch(train) [107][580/1879] lr: 1.0000e-03 eta: 1 day, 9:44:14 time: 0.4291 data_time: 0.0154 memory: 17087 grad_norm: 5.4925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0727 loss: 1.0727 2022/08/04 09:39:50 - mmengine - INFO - Epoch(train) [107][600/1879] lr: 1.0000e-03 eta: 1 day, 9:44:06 time: 0.4523 data_time: 0.0174 memory: 17087 grad_norm: 5.5196 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1793 loss: 1.1793 2022/08/04 09:39:59 - mmengine - INFO - Epoch(train) [107][620/1879] lr: 1.0000e-03 eta: 1 day, 9:43:57 time: 0.4299 data_time: 0.0156 memory: 17087 grad_norm: 5.4278 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0528 loss: 1.0528 2022/08/04 09:40:08 - mmengine - INFO - Epoch(train) [107][640/1879] lr: 1.0000e-03 eta: 1 day, 9:43:49 time: 0.4551 data_time: 0.0172 memory: 17087 grad_norm: 5.4608 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2178 loss: 1.2178 2022/08/04 09:40:16 - mmengine - INFO - Epoch(train) [107][660/1879] lr: 1.0000e-03 eta: 1 day, 9:43:41 time: 0.4347 data_time: 0.0188 memory: 17087 grad_norm: 5.4684 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0309 loss: 1.0309 2022/08/04 09:40:25 - mmengine - INFO - Epoch(train) [107][680/1879] lr: 1.0000e-03 eta: 1 day, 9:43:32 time: 0.4315 data_time: 0.0161 memory: 17087 grad_norm: 5.4887 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1280 loss: 1.1280 2022/08/04 09:40:34 - mmengine - INFO - Epoch(train) [107][700/1879] lr: 1.0000e-03 eta: 1 day, 9:43:23 time: 0.4271 data_time: 0.0140 memory: 17087 grad_norm: 5.4758 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1483 loss: 1.1483 2022/08/04 09:40:42 - mmengine - INFO - Epoch(train) [107][720/1879] lr: 1.0000e-03 eta: 1 day, 9:43:14 time: 0.4304 data_time: 0.0157 memory: 17087 grad_norm: 5.4646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1485 loss: 1.1485 2022/08/04 09:40:51 - mmengine - INFO - Epoch(train) [107][740/1879] lr: 1.0000e-03 eta: 1 day, 9:43:06 time: 0.4534 data_time: 0.0202 memory: 17087 grad_norm: 5.3330 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0305 loss: 1.0305 2022/08/04 09:41:00 - mmengine - INFO - Epoch(train) [107][760/1879] lr: 1.0000e-03 eta: 1 day, 9:42:58 time: 0.4266 data_time: 0.0151 memory: 17087 grad_norm: 5.4019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1708 loss: 1.1708 2022/08/04 09:41:09 - mmengine - INFO - Epoch(train) [107][780/1879] lr: 1.0000e-03 eta: 1 day, 9:42:49 time: 0.4474 data_time: 0.0167 memory: 17087 grad_norm: 5.5706 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0343 loss: 1.0343 2022/08/04 09:41:17 - mmengine - INFO - Epoch(train) [107][800/1879] lr: 1.0000e-03 eta: 1 day, 9:42:41 time: 0.4256 data_time: 0.0153 memory: 17087 grad_norm: 5.5298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1476 loss: 1.1476 2022/08/04 09:41:26 - mmengine - INFO - Epoch(train) [107][820/1879] lr: 1.0000e-03 eta: 1 day, 9:42:32 time: 0.4325 data_time: 0.0167 memory: 17087 grad_norm: 5.4425 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9130 loss: 0.9130 2022/08/04 09:41:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 09:41:35 - mmengine - INFO - Epoch(train) [107][840/1879] lr: 1.0000e-03 eta: 1 day, 9:42:23 time: 0.4271 data_time: 0.0160 memory: 17087 grad_norm: 5.3790 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1245 loss: 1.1245 2022/08/04 09:41:43 - mmengine - INFO - Epoch(train) [107][860/1879] lr: 1.0000e-03 eta: 1 day, 9:42:14 time: 0.4262 data_time: 0.0154 memory: 17087 grad_norm: 5.2822 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9988 loss: 0.9988 2022/08/04 09:41:52 - mmengine - INFO - Epoch(train) [107][880/1879] lr: 1.0000e-03 eta: 1 day, 9:42:06 time: 0.4280 data_time: 0.0160 memory: 17087 grad_norm: 5.2394 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9530 loss: 0.9530 2022/08/04 09:42:00 - mmengine - INFO - Epoch(train) [107][900/1879] lr: 1.0000e-03 eta: 1 day, 9:41:57 time: 0.4323 data_time: 0.0156 memory: 17087 grad_norm: 5.5914 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0191 loss: 1.0191 2022/08/04 09:42:09 - mmengine - INFO - Epoch(train) [107][920/1879] lr: 1.0000e-03 eta: 1 day, 9:41:49 time: 0.4456 data_time: 0.0190 memory: 17087 grad_norm: 5.3962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0586 loss: 1.0586 2022/08/04 09:42:18 - mmengine - INFO - Epoch(train) [107][940/1879] lr: 1.0000e-03 eta: 1 day, 9:41:40 time: 0.4307 data_time: 0.0149 memory: 17087 grad_norm: 5.3877 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9794 loss: 0.9794 2022/08/04 09:42:26 - mmengine - INFO - Epoch(train) [107][960/1879] lr: 1.0000e-03 eta: 1 day, 9:41:31 time: 0.4292 data_time: 0.0193 memory: 17087 grad_norm: 5.3658 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1026 loss: 1.1026 2022/08/04 09:42:35 - mmengine - INFO - Epoch(train) [107][980/1879] lr: 1.0000e-03 eta: 1 day, 9:41:23 time: 0.4329 data_time: 0.0146 memory: 17087 grad_norm: 5.4433 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2397 loss: 1.2397 2022/08/04 09:42:44 - mmengine - INFO - Epoch(train) [107][1000/1879] lr: 1.0000e-03 eta: 1 day, 9:41:14 time: 0.4273 data_time: 0.0161 memory: 17087 grad_norm: 5.4368 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1571 loss: 1.1571 2022/08/04 09:42:52 - mmengine - INFO - Epoch(train) [107][1020/1879] lr: 1.0000e-03 eta: 1 day, 9:41:05 time: 0.4280 data_time: 0.0150 memory: 17087 grad_norm: 5.5425 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1097 loss: 1.1097 2022/08/04 09:43:01 - mmengine - INFO - Epoch(train) [107][1040/1879] lr: 1.0000e-03 eta: 1 day, 9:40:57 time: 0.4480 data_time: 0.0173 memory: 17087 grad_norm: 5.4360 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1169 loss: 1.1169 2022/08/04 09:43:10 - mmengine - INFO - Epoch(train) [107][1060/1879] lr: 1.0000e-03 eta: 1 day, 9:40:49 time: 0.4322 data_time: 0.0164 memory: 17087 grad_norm: 5.2947 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0381 loss: 1.0381 2022/08/04 09:43:19 - mmengine - INFO - Epoch(train) [107][1080/1879] lr: 1.0000e-03 eta: 1 day, 9:40:40 time: 0.4333 data_time: 0.0162 memory: 17087 grad_norm: 5.5829 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1454 loss: 1.1454 2022/08/04 09:43:27 - mmengine - INFO - Epoch(train) [107][1100/1879] lr: 1.0000e-03 eta: 1 day, 9:40:31 time: 0.4269 data_time: 0.0144 memory: 17087 grad_norm: 5.4656 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9644 loss: 0.9644 2022/08/04 09:43:36 - mmengine - INFO - Epoch(train) [107][1120/1879] lr: 1.0000e-03 eta: 1 day, 9:40:23 time: 0.4354 data_time: 0.0172 memory: 17087 grad_norm: 5.4717 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2179 loss: 1.2179 2022/08/04 09:43:45 - mmengine - INFO - Epoch(train) [107][1140/1879] lr: 1.0000e-03 eta: 1 day, 9:40:15 time: 0.4494 data_time: 0.0176 memory: 17087 grad_norm: 5.3138 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9130 loss: 0.9130 2022/08/04 09:43:53 - mmengine - INFO - Epoch(train) [107][1160/1879] lr: 1.0000e-03 eta: 1 day, 9:40:06 time: 0.4271 data_time: 0.0152 memory: 17087 grad_norm: 5.3727 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2555 loss: 1.2555 2022/08/04 09:44:02 - mmengine - INFO - Epoch(train) [107][1180/1879] lr: 1.0000e-03 eta: 1 day, 9:39:57 time: 0.4341 data_time: 0.0149 memory: 17087 grad_norm: 5.4444 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2428 loss: 1.2428 2022/08/04 09:44:11 - mmengine - INFO - Epoch(train) [107][1200/1879] lr: 1.0000e-03 eta: 1 day, 9:39:48 time: 0.4266 data_time: 0.0156 memory: 17087 grad_norm: 5.4648 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0462 loss: 1.0462 2022/08/04 09:44:20 - mmengine - INFO - Epoch(train) [107][1220/1879] lr: 1.0000e-03 eta: 1 day, 9:39:40 time: 0.4432 data_time: 0.0185 memory: 17087 grad_norm: 5.4579 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0811 loss: 1.0811 2022/08/04 09:44:28 - mmengine - INFO - Epoch(train) [107][1240/1879] lr: 1.0000e-03 eta: 1 day, 9:39:31 time: 0.4277 data_time: 0.0161 memory: 17087 grad_norm: 5.3456 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0641 loss: 1.0641 2022/08/04 09:44:37 - mmengine - INFO - Epoch(train) [107][1260/1879] lr: 1.0000e-03 eta: 1 day, 9:39:23 time: 0.4393 data_time: 0.0157 memory: 17087 grad_norm: 5.1947 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9929 loss: 0.9929 2022/08/04 09:44:46 - mmengine - INFO - Epoch(train) [107][1280/1879] lr: 1.0000e-03 eta: 1 day, 9:39:14 time: 0.4294 data_time: 0.0177 memory: 17087 grad_norm: 5.3107 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0053 loss: 1.0053 2022/08/04 09:44:54 - mmengine - INFO - Epoch(train) [107][1300/1879] lr: 1.0000e-03 eta: 1 day, 9:39:05 time: 0.4256 data_time: 0.0143 memory: 17087 grad_norm: 5.3586 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2084 loss: 1.2084 2022/08/04 09:45:03 - mmengine - INFO - Epoch(train) [107][1320/1879] lr: 1.0000e-03 eta: 1 day, 9:38:57 time: 0.4393 data_time: 0.0167 memory: 17087 grad_norm: 5.4214 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0787 loss: 1.0787 2022/08/04 09:45:11 - mmengine - INFO - Epoch(train) [107][1340/1879] lr: 1.0000e-03 eta: 1 day, 9:38:48 time: 0.4267 data_time: 0.0148 memory: 17087 grad_norm: 5.4220 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1293 loss: 1.1293 2022/08/04 09:45:20 - mmengine - INFO - Epoch(train) [107][1360/1879] lr: 1.0000e-03 eta: 1 day, 9:38:39 time: 0.4277 data_time: 0.0150 memory: 17087 grad_norm: 5.5336 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1398 loss: 1.1398 2022/08/04 09:45:28 - mmengine - INFO - Epoch(train) [107][1380/1879] lr: 1.0000e-03 eta: 1 day, 9:38:31 time: 0.4253 data_time: 0.0143 memory: 17087 grad_norm: 5.5074 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1438 loss: 1.1438 2022/08/04 09:45:37 - mmengine - INFO - Epoch(train) [107][1400/1879] lr: 1.0000e-03 eta: 1 day, 9:38:22 time: 0.4366 data_time: 0.0163 memory: 17087 grad_norm: 5.4105 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1021 loss: 1.1021 2022/08/04 09:45:46 - mmengine - INFO - Epoch(train) [107][1420/1879] lr: 1.0000e-03 eta: 1 day, 9:38:13 time: 0.4263 data_time: 0.0154 memory: 17087 grad_norm: 5.4605 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0921 loss: 1.0921 2022/08/04 09:45:54 - mmengine - INFO - Epoch(train) [107][1440/1879] lr: 1.0000e-03 eta: 1 day, 9:38:05 time: 0.4276 data_time: 0.0157 memory: 17087 grad_norm: 5.3946 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0947 loss: 1.0947 2022/08/04 09:46:03 - mmengine - INFO - Epoch(train) [107][1460/1879] lr: 1.0000e-03 eta: 1 day, 9:37:56 time: 0.4497 data_time: 0.0138 memory: 17087 grad_norm: 5.7040 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0805 loss: 1.0805 2022/08/04 09:46:12 - mmengine - INFO - Epoch(train) [107][1480/1879] lr: 1.0000e-03 eta: 1 day, 9:37:48 time: 0.4283 data_time: 0.0161 memory: 17087 grad_norm: 5.2718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2009 loss: 1.2009 2022/08/04 09:46:21 - mmengine - INFO - Epoch(train) [107][1500/1879] lr: 1.0000e-03 eta: 1 day, 9:37:39 time: 0.4323 data_time: 0.0137 memory: 17087 grad_norm: 5.5820 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0991 loss: 1.0991 2022/08/04 09:46:29 - mmengine - INFO - Epoch(train) [107][1520/1879] lr: 1.0000e-03 eta: 1 day, 9:37:30 time: 0.4292 data_time: 0.0170 memory: 17087 grad_norm: 5.3605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9135 loss: 0.9135 2022/08/04 09:46:38 - mmengine - INFO - Epoch(train) [107][1540/1879] lr: 1.0000e-03 eta: 1 day, 9:37:22 time: 0.4322 data_time: 0.0157 memory: 17087 grad_norm: 5.3896 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0900 loss: 1.0900 2022/08/04 09:46:46 - mmengine - INFO - Epoch(train) [107][1560/1879] lr: 1.0000e-03 eta: 1 day, 9:37:13 time: 0.4282 data_time: 0.0173 memory: 17087 grad_norm: 5.4626 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9419 loss: 0.9419 2022/08/04 09:46:55 - mmengine - INFO - Epoch(train) [107][1580/1879] lr: 1.0000e-03 eta: 1 day, 9:37:04 time: 0.4253 data_time: 0.0141 memory: 17087 grad_norm: 5.4659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0155 loss: 1.0155 2022/08/04 09:47:04 - mmengine - INFO - Epoch(train) [107][1600/1879] lr: 1.0000e-03 eta: 1 day, 9:36:56 time: 0.4465 data_time: 0.0163 memory: 17087 grad_norm: 5.3778 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0043 loss: 1.0043 2022/08/04 09:47:12 - mmengine - INFO - Epoch(train) [107][1620/1879] lr: 1.0000e-03 eta: 1 day, 9:36:47 time: 0.4275 data_time: 0.0153 memory: 17087 grad_norm: 5.4822 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1439 loss: 1.1439 2022/08/04 09:47:21 - mmengine - INFO - Epoch(train) [107][1640/1879] lr: 1.0000e-03 eta: 1 day, 9:36:39 time: 0.4364 data_time: 0.0181 memory: 17087 grad_norm: 5.3905 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0655 loss: 1.0655 2022/08/04 09:47:30 - mmengine - INFO - Epoch(train) [107][1660/1879] lr: 1.0000e-03 eta: 1 day, 9:36:30 time: 0.4278 data_time: 0.0180 memory: 17087 grad_norm: 5.3435 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1206 loss: 1.1206 2022/08/04 09:47:39 - mmengine - INFO - Epoch(train) [107][1680/1879] lr: 1.0000e-03 eta: 1 day, 9:36:22 time: 0.4520 data_time: 0.0170 memory: 17087 grad_norm: 5.3011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8978 loss: 0.8978 2022/08/04 09:47:47 - mmengine - INFO - Epoch(train) [107][1700/1879] lr: 1.0000e-03 eta: 1 day, 9:36:13 time: 0.4262 data_time: 0.0174 memory: 17087 grad_norm: 5.5099 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0493 loss: 1.0493 2022/08/04 09:47:56 - mmengine - INFO - Epoch(train) [107][1720/1879] lr: 1.0000e-03 eta: 1 day, 9:36:04 time: 0.4310 data_time: 0.0172 memory: 17087 grad_norm: 5.5415 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0396 loss: 1.0396 2022/08/04 09:48:05 - mmengine - INFO - Epoch(train) [107][1740/1879] lr: 1.0000e-03 eta: 1 day, 9:35:56 time: 0.4278 data_time: 0.0150 memory: 17087 grad_norm: 5.2059 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0281 loss: 1.0281 2022/08/04 09:48:13 - mmengine - INFO - Epoch(train) [107][1760/1879] lr: 1.0000e-03 eta: 1 day, 9:35:47 time: 0.4264 data_time: 0.0149 memory: 17087 grad_norm: 5.4031 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1478 loss: 1.1478 2022/08/04 09:48:22 - mmengine - INFO - Epoch(train) [107][1780/1879] lr: 1.0000e-03 eta: 1 day, 9:35:38 time: 0.4389 data_time: 0.0164 memory: 17087 grad_norm: 5.4377 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.3151 loss: 1.3151 2022/08/04 09:48:30 - mmengine - INFO - Epoch(train) [107][1800/1879] lr: 1.0000e-03 eta: 1 day, 9:35:30 time: 0.4262 data_time: 0.0153 memory: 17087 grad_norm: 5.5273 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1371 loss: 1.1371 2022/08/04 09:48:39 - mmengine - INFO - Epoch(train) [107][1820/1879] lr: 1.0000e-03 eta: 1 day, 9:35:21 time: 0.4317 data_time: 0.0167 memory: 17087 grad_norm: 5.4965 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0590 loss: 1.0590 2022/08/04 09:48:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 09:48:48 - mmengine - INFO - Epoch(train) [107][1840/1879] lr: 1.0000e-03 eta: 1 day, 9:35:12 time: 0.4267 data_time: 0.0159 memory: 17087 grad_norm: 5.5750 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9992 loss: 0.9992 2022/08/04 09:48:56 - mmengine - INFO - Epoch(train) [107][1860/1879] lr: 1.0000e-03 eta: 1 day, 9:35:04 time: 0.4366 data_time: 0.0166 memory: 17087 grad_norm: 5.2769 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0967 loss: 1.0967 2022/08/04 09:49:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 09:49:04 - mmengine - INFO - Epoch(train) [107][1879/1879] lr: 1.0000e-03 eta: 1 day, 9:35:04 time: 0.4123 data_time: 0.0163 memory: 17087 grad_norm: 5.5274 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0309 loss: 1.0309 2022/08/04 09:49:15 - mmengine - INFO - Epoch(train) [108][20/1879] lr: 1.0000e-03 eta: 1 day, 9:34:39 time: 0.5567 data_time: 0.1046 memory: 17087 grad_norm: 5.5522 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0115 loss: 1.0115 2022/08/04 09:49:25 - mmengine - INFO - Epoch(train) [108][40/1879] lr: 1.0000e-03 eta: 1 day, 9:34:31 time: 0.4642 data_time: 0.0152 memory: 17087 grad_norm: 5.3795 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0158 loss: 1.0158 2022/08/04 09:49:33 - mmengine - INFO - Epoch(train) [108][60/1879] lr: 1.0000e-03 eta: 1 day, 9:34:22 time: 0.4262 data_time: 0.0149 memory: 17087 grad_norm: 5.3592 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0023 loss: 1.0023 2022/08/04 09:49:42 - mmengine - INFO - Epoch(train) [108][80/1879] lr: 1.0000e-03 eta: 1 day, 9:34:15 time: 0.4665 data_time: 0.0178 memory: 17087 grad_norm: 5.4197 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0848 loss: 1.0848 2022/08/04 09:49:51 - mmengine - INFO - Epoch(train) [108][100/1879] lr: 1.0000e-03 eta: 1 day, 9:34:06 time: 0.4280 data_time: 0.0162 memory: 17087 grad_norm: 5.4817 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0540 loss: 1.0540 2022/08/04 09:50:00 - mmengine - INFO - Epoch(train) [108][120/1879] lr: 1.0000e-03 eta: 1 day, 9:33:57 time: 0.4333 data_time: 0.0172 memory: 17087 grad_norm: 5.3581 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0017 loss: 1.0017 2022/08/04 09:50:08 - mmengine - INFO - Epoch(train) [108][140/1879] lr: 1.0000e-03 eta: 1 day, 9:33:49 time: 0.4332 data_time: 0.0172 memory: 17087 grad_norm: 5.5022 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1683 loss: 1.1683 2022/08/04 09:50:17 - mmengine - INFO - Epoch(train) [108][160/1879] lr: 1.0000e-03 eta: 1 day, 9:33:40 time: 0.4280 data_time: 0.0153 memory: 17087 grad_norm: 5.4082 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9421 loss: 0.9421 2022/08/04 09:50:26 - mmengine - INFO - Epoch(train) [108][180/1879] lr: 1.0000e-03 eta: 1 day, 9:33:32 time: 0.4384 data_time: 0.0214 memory: 17087 grad_norm: 5.6340 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1409 loss: 1.1409 2022/08/04 09:50:35 - mmengine - INFO - Epoch(train) [108][200/1879] lr: 1.0000e-03 eta: 1 day, 9:33:23 time: 0.4460 data_time: 0.0163 memory: 17087 grad_norm: 5.4765 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8931 loss: 0.8931 2022/08/04 09:50:43 - mmengine - INFO - Epoch(train) [108][220/1879] lr: 1.0000e-03 eta: 1 day, 9:33:15 time: 0.4273 data_time: 0.0146 memory: 17087 grad_norm: 5.4864 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2180 loss: 1.2180 2022/08/04 09:50:52 - mmengine - INFO - Epoch(train) [108][240/1879] lr: 1.0000e-03 eta: 1 day, 9:33:06 time: 0.4365 data_time: 0.0205 memory: 17087 grad_norm: 5.3969 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1428 loss: 1.1428 2022/08/04 09:51:01 - mmengine - INFO - Epoch(train) [108][260/1879] lr: 1.0000e-03 eta: 1 day, 9:32:57 time: 0.4269 data_time: 0.0151 memory: 17087 grad_norm: 5.3985 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1017 loss: 1.1017 2022/08/04 09:51:10 - mmengine - INFO - Epoch(train) [108][280/1879] lr: 1.0000e-03 eta: 1 day, 9:32:49 time: 0.4583 data_time: 0.0177 memory: 17087 grad_norm: 5.2070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0634 loss: 1.0634 2022/08/04 09:51:18 - mmengine - INFO - Epoch(train) [108][300/1879] lr: 1.0000e-03 eta: 1 day, 9:32:41 time: 0.4337 data_time: 0.0183 memory: 17087 grad_norm: 5.6032 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0834 loss: 1.0834 2022/08/04 09:51:28 - mmengine - INFO - Epoch(train) [108][320/1879] lr: 1.0000e-03 eta: 1 day, 9:32:33 time: 0.4680 data_time: 0.0172 memory: 17087 grad_norm: 5.4439 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1923 loss: 1.1923 2022/08/04 09:51:36 - mmengine - INFO - Epoch(train) [108][340/1879] lr: 1.0000e-03 eta: 1 day, 9:32:25 time: 0.4341 data_time: 0.0203 memory: 17087 grad_norm: 5.4987 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0921 loss: 1.0921 2022/08/04 09:51:45 - mmengine - INFO - Epoch(train) [108][360/1879] lr: 1.0000e-03 eta: 1 day, 9:32:16 time: 0.4285 data_time: 0.0161 memory: 17087 grad_norm: 5.4822 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1191 loss: 1.1191 2022/08/04 09:51:54 - mmengine - INFO - Epoch(train) [108][380/1879] lr: 1.0000e-03 eta: 1 day, 9:32:08 time: 0.4690 data_time: 0.0164 memory: 17087 grad_norm: 5.3608 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1255 loss: 1.1255 2022/08/04 09:52:03 - mmengine - INFO - Epoch(train) [108][400/1879] lr: 1.0000e-03 eta: 1 day, 9:32:00 time: 0.4337 data_time: 0.0220 memory: 17087 grad_norm: 5.4204 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1130 loss: 1.1130 2022/08/04 09:52:12 - mmengine - INFO - Epoch(train) [108][420/1879] lr: 1.0000e-03 eta: 1 day, 9:31:52 time: 0.4582 data_time: 0.0165 memory: 17087 grad_norm: 5.4502 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0308 loss: 1.0308 2022/08/04 09:52:21 - mmengine - INFO - Epoch(train) [108][440/1879] lr: 1.0000e-03 eta: 1 day, 9:31:43 time: 0.4340 data_time: 0.0216 memory: 17087 grad_norm: 5.2238 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0021 loss: 1.0021 2022/08/04 09:52:30 - mmengine - INFO - Epoch(train) [108][460/1879] lr: 1.0000e-03 eta: 1 day, 9:31:35 time: 0.4352 data_time: 0.0171 memory: 17087 grad_norm: 5.2287 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1064 loss: 1.1064 2022/08/04 09:52:39 - mmengine - INFO - Epoch(train) [108][480/1879] lr: 1.0000e-03 eta: 1 day, 9:31:26 time: 0.4401 data_time: 0.0176 memory: 17087 grad_norm: 5.3599 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1576 loss: 1.1576 2022/08/04 09:52:48 - mmengine - INFO - Epoch(train) [108][500/1879] lr: 1.0000e-03 eta: 1 day, 9:31:19 time: 0.4722 data_time: 0.0182 memory: 17087 grad_norm: 5.4122 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9500 loss: 0.9500 2022/08/04 09:52:57 - mmengine - INFO - Epoch(train) [108][520/1879] lr: 1.0000e-03 eta: 1 day, 9:31:10 time: 0.4282 data_time: 0.0165 memory: 17087 grad_norm: 5.4191 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9880 loss: 0.9880 2022/08/04 09:53:05 - mmengine - INFO - Epoch(train) [108][540/1879] lr: 1.0000e-03 eta: 1 day, 9:31:01 time: 0.4312 data_time: 0.0197 memory: 17087 grad_norm: 5.5513 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2118 loss: 1.2118 2022/08/04 09:53:14 - mmengine - INFO - Epoch(train) [108][560/1879] lr: 1.0000e-03 eta: 1 day, 9:30:54 time: 0.4614 data_time: 0.0171 memory: 17087 grad_norm: 5.4234 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0684 loss: 1.0684 2022/08/04 09:53:23 - mmengine - INFO - Epoch(train) [108][580/1879] lr: 1.0000e-03 eta: 1 day, 9:30:45 time: 0.4262 data_time: 0.0144 memory: 17087 grad_norm: 5.3162 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9221 loss: 0.9221 2022/08/04 09:53:32 - mmengine - INFO - Epoch(train) [108][600/1879] lr: 1.0000e-03 eta: 1 day, 9:30:37 time: 0.4723 data_time: 0.0245 memory: 17087 grad_norm: 5.4619 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0833 loss: 1.0833 2022/08/04 09:53:41 - mmengine - INFO - Epoch(train) [108][620/1879] lr: 1.0000e-03 eta: 1 day, 9:30:29 time: 0.4311 data_time: 0.0128 memory: 17087 grad_norm: 5.6084 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0738 loss: 1.0738 2022/08/04 09:53:50 - mmengine - INFO - Epoch(train) [108][640/1879] lr: 1.0000e-03 eta: 1 day, 9:30:20 time: 0.4362 data_time: 0.0178 memory: 17087 grad_norm: 5.1927 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0294 loss: 1.0294 2022/08/04 09:53:58 - mmengine - INFO - Epoch(train) [108][660/1879] lr: 1.0000e-03 eta: 1 day, 9:30:11 time: 0.4276 data_time: 0.0150 memory: 17087 grad_norm: 5.3895 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2134 loss: 1.2134 2022/08/04 09:54:07 - mmengine - INFO - Epoch(train) [108][680/1879] lr: 1.0000e-03 eta: 1 day, 9:30:03 time: 0.4301 data_time: 0.0168 memory: 17087 grad_norm: 5.5012 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1571 loss: 1.1571 2022/08/04 09:54:16 - mmengine - INFO - Epoch(train) [108][700/1879] lr: 1.0000e-03 eta: 1 day, 9:29:54 time: 0.4266 data_time: 0.0141 memory: 17087 grad_norm: 5.5762 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0240 loss: 1.0240 2022/08/04 09:54:24 - mmengine - INFO - Epoch(train) [108][720/1879] lr: 1.0000e-03 eta: 1 day, 9:29:45 time: 0.4267 data_time: 0.0173 memory: 17087 grad_norm: 5.4979 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0613 loss: 1.0613 2022/08/04 09:54:33 - mmengine - INFO - Epoch(train) [108][740/1879] lr: 1.0000e-03 eta: 1 day, 9:29:37 time: 0.4425 data_time: 0.0174 memory: 17087 grad_norm: 5.5027 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1128 loss: 1.1128 2022/08/04 09:54:42 - mmengine - INFO - Epoch(train) [108][760/1879] lr: 1.0000e-03 eta: 1 day, 9:29:28 time: 0.4325 data_time: 0.0178 memory: 17087 grad_norm: 5.4417 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2304 loss: 1.2304 2022/08/04 09:54:51 - mmengine - INFO - Epoch(train) [108][780/1879] lr: 1.0000e-03 eta: 1 day, 9:29:20 time: 0.4502 data_time: 0.0152 memory: 17087 grad_norm: 5.4795 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.3376 loss: 1.3376 2022/08/04 09:54:59 - mmengine - INFO - Epoch(train) [108][800/1879] lr: 1.0000e-03 eta: 1 day, 9:29:11 time: 0.4277 data_time: 0.0150 memory: 17087 grad_norm: 5.5773 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0356 loss: 1.0356 2022/08/04 09:55:08 - mmengine - INFO - Epoch(train) [108][820/1879] lr: 1.0000e-03 eta: 1 day, 9:29:04 time: 0.4641 data_time: 0.0217 memory: 17087 grad_norm: 5.5773 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0132 loss: 1.0132 2022/08/04 09:55:17 - mmengine - INFO - Epoch(train) [108][840/1879] lr: 1.0000e-03 eta: 1 day, 9:28:55 time: 0.4302 data_time: 0.0172 memory: 17087 grad_norm: 5.4696 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1201 loss: 1.1201 2022/08/04 09:55:26 - mmengine - INFO - Epoch(train) [108][860/1879] lr: 1.0000e-03 eta: 1 day, 9:28:46 time: 0.4261 data_time: 0.0141 memory: 17087 grad_norm: 5.5023 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1440 loss: 1.1440 2022/08/04 09:55:35 - mmengine - INFO - Epoch(train) [108][880/1879] lr: 1.0000e-03 eta: 1 day, 9:28:38 time: 0.4654 data_time: 0.0178 memory: 17087 grad_norm: 5.2977 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9203 loss: 0.9203 2022/08/04 09:55:44 - mmengine - INFO - Epoch(train) [108][900/1879] lr: 1.0000e-03 eta: 1 day, 9:28:30 time: 0.4264 data_time: 0.0146 memory: 17087 grad_norm: 5.6435 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.4427 loss: 1.4427 2022/08/04 09:55:53 - mmengine - INFO - Epoch(train) [108][920/1879] lr: 1.0000e-03 eta: 1 day, 9:28:22 time: 0.4658 data_time: 0.0234 memory: 17087 grad_norm: 5.6382 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.2011 loss: 1.2011 2022/08/04 09:56:01 - mmengine - INFO - Epoch(train) [108][940/1879] lr: 1.0000e-03 eta: 1 day, 9:28:13 time: 0.4274 data_time: 0.0143 memory: 17087 grad_norm: 5.4195 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0240 loss: 1.0240 2022/08/04 09:56:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 09:56:11 - mmengine - INFO - Epoch(train) [108][960/1879] lr: 1.0000e-03 eta: 1 day, 9:28:05 time: 0.4588 data_time: 0.0205 memory: 17087 grad_norm: 5.6413 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9657 loss: 0.9657 2022/08/04 09:56:19 - mmengine - INFO - Epoch(train) [108][980/1879] lr: 1.0000e-03 eta: 1 day, 9:27:57 time: 0.4301 data_time: 0.0151 memory: 17087 grad_norm: 5.7634 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2835 loss: 1.2835 2022/08/04 09:56:28 - mmengine - INFO - Epoch(train) [108][1000/1879] lr: 1.0000e-03 eta: 1 day, 9:27:48 time: 0.4293 data_time: 0.0172 memory: 17087 grad_norm: 5.6023 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0154 loss: 1.0154 2022/08/04 09:56:36 - mmengine - INFO - Epoch(train) [108][1020/1879] lr: 1.0000e-03 eta: 1 day, 9:27:39 time: 0.4255 data_time: 0.0139 memory: 17087 grad_norm: 5.3350 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0728 loss: 1.0728 2022/08/04 09:56:45 - mmengine - INFO - Epoch(train) [108][1040/1879] lr: 1.0000e-03 eta: 1 day, 9:27:30 time: 0.4276 data_time: 0.0165 memory: 17087 grad_norm: 5.4246 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0429 loss: 1.0429 2022/08/04 09:56:53 - mmengine - INFO - Epoch(train) [108][1060/1879] lr: 1.0000e-03 eta: 1 day, 9:27:21 time: 0.4256 data_time: 0.0152 memory: 17087 grad_norm: 5.5846 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0978 loss: 1.0978 2022/08/04 09:57:03 - mmengine - INFO - Epoch(train) [108][1080/1879] lr: 1.0000e-03 eta: 1 day, 9:27:13 time: 0.4554 data_time: 0.0169 memory: 17087 grad_norm: 5.3484 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0520 loss: 1.0520 2022/08/04 09:57:11 - mmengine - INFO - Epoch(train) [108][1100/1879] lr: 1.0000e-03 eta: 1 day, 9:27:05 time: 0.4271 data_time: 0.0148 memory: 17087 grad_norm: 5.3647 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0709 loss: 1.0709 2022/08/04 09:57:20 - mmengine - INFO - Epoch(train) [108][1120/1879] lr: 1.0000e-03 eta: 1 day, 9:26:56 time: 0.4408 data_time: 0.0166 memory: 17087 grad_norm: 5.5061 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1750 loss: 1.1750 2022/08/04 09:57:29 - mmengine - INFO - Epoch(train) [108][1140/1879] lr: 1.0000e-03 eta: 1 day, 9:26:48 time: 0.4299 data_time: 0.0150 memory: 17087 grad_norm: 5.6393 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0537 loss: 1.0537 2022/08/04 09:57:37 - mmengine - INFO - Epoch(train) [108][1160/1879] lr: 1.0000e-03 eta: 1 day, 9:26:39 time: 0.4322 data_time: 0.0180 memory: 17087 grad_norm: 5.4910 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2186 loss: 1.2186 2022/08/04 09:57:46 - mmengine - INFO - Epoch(train) [108][1180/1879] lr: 1.0000e-03 eta: 1 day, 9:26:30 time: 0.4260 data_time: 0.0138 memory: 17087 grad_norm: 5.5434 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2482 loss: 1.2482 2022/08/04 09:57:55 - mmengine - INFO - Epoch(train) [108][1200/1879] lr: 1.0000e-03 eta: 1 day, 9:26:22 time: 0.4614 data_time: 0.0174 memory: 17087 grad_norm: 5.5184 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9810 loss: 0.9810 2022/08/04 09:58:03 - mmengine - INFO - Epoch(train) [108][1220/1879] lr: 1.0000e-03 eta: 1 day, 9:26:14 time: 0.4264 data_time: 0.0149 memory: 17087 grad_norm: 5.4761 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0651 loss: 1.0651 2022/08/04 09:58:12 - mmengine - INFO - Epoch(train) [108][1240/1879] lr: 1.0000e-03 eta: 1 day, 9:26:05 time: 0.4381 data_time: 0.0177 memory: 17087 grad_norm: 5.4027 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1112 loss: 1.1112 2022/08/04 09:58:21 - mmengine - INFO - Epoch(train) [108][1260/1879] lr: 1.0000e-03 eta: 1 day, 9:25:56 time: 0.4291 data_time: 0.0180 memory: 17087 grad_norm: 5.4260 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2112 loss: 1.2112 2022/08/04 09:58:30 - mmengine - INFO - Epoch(train) [108][1280/1879] lr: 1.0000e-03 eta: 1 day, 9:25:49 time: 0.4633 data_time: 0.0169 memory: 17087 grad_norm: 5.5840 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1080 loss: 1.1080 2022/08/04 09:58:39 - mmengine - INFO - Epoch(train) [108][1300/1879] lr: 1.0000e-03 eta: 1 day, 9:25:40 time: 0.4285 data_time: 0.0153 memory: 17087 grad_norm: 5.3645 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8544 loss: 0.8544 2022/08/04 09:58:48 - mmengine - INFO - Epoch(train) [108][1320/1879] lr: 1.0000e-03 eta: 1 day, 9:25:32 time: 0.4499 data_time: 0.0173 memory: 17087 grad_norm: 5.4727 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9520 loss: 0.9520 2022/08/04 09:58:56 - mmengine - INFO - Epoch(train) [108][1340/1879] lr: 1.0000e-03 eta: 1 day, 9:25:23 time: 0.4266 data_time: 0.0152 memory: 17087 grad_norm: 5.3488 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9496 loss: 0.9496 2022/08/04 09:59:05 - mmengine - INFO - Epoch(train) [108][1360/1879] lr: 1.0000e-03 eta: 1 day, 9:25:14 time: 0.4281 data_time: 0.0153 memory: 17087 grad_norm: 5.6376 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1478 loss: 1.1478 2022/08/04 09:59:14 - mmengine - INFO - Epoch(train) [108][1380/1879] lr: 1.0000e-03 eta: 1 day, 9:25:06 time: 0.4321 data_time: 0.0155 memory: 17087 grad_norm: 5.4506 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1127 loss: 1.1127 2022/08/04 09:59:22 - mmengine - INFO - Epoch(train) [108][1400/1879] lr: 1.0000e-03 eta: 1 day, 9:24:57 time: 0.4294 data_time: 0.0162 memory: 17087 grad_norm: 5.3178 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0489 loss: 1.0489 2022/08/04 09:59:31 - mmengine - INFO - Epoch(train) [108][1420/1879] lr: 1.0000e-03 eta: 1 day, 9:24:48 time: 0.4300 data_time: 0.0146 memory: 17087 grad_norm: 5.6351 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0590 loss: 1.0590 2022/08/04 09:59:39 - mmengine - INFO - Epoch(train) [108][1440/1879] lr: 1.0000e-03 eta: 1 day, 9:24:40 time: 0.4317 data_time: 0.0197 memory: 17087 grad_norm: 5.6352 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1443 loss: 1.1443 2022/08/04 09:59:48 - mmengine - INFO - Epoch(train) [108][1460/1879] lr: 1.0000e-03 eta: 1 day, 9:24:31 time: 0.4285 data_time: 0.0160 memory: 17087 grad_norm: 5.5941 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0252 loss: 1.0252 2022/08/04 09:59:57 - mmengine - INFO - Epoch(train) [108][1480/1879] lr: 1.0000e-03 eta: 1 day, 9:24:22 time: 0.4335 data_time: 0.0195 memory: 17087 grad_norm: 5.5713 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.4007 loss: 1.4007 2022/08/04 10:00:06 - mmengine - INFO - Epoch(train) [108][1500/1879] lr: 1.0000e-03 eta: 1 day, 9:24:14 time: 0.4451 data_time: 0.0142 memory: 17087 grad_norm: 5.4706 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2773 loss: 1.2773 2022/08/04 10:00:14 - mmengine - INFO - Epoch(train) [108][1520/1879] lr: 1.0000e-03 eta: 1 day, 9:24:05 time: 0.4364 data_time: 0.0209 memory: 17087 grad_norm: 5.4075 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1581 loss: 1.1581 2022/08/04 10:00:23 - mmengine - INFO - Epoch(train) [108][1540/1879] lr: 1.0000e-03 eta: 1 day, 9:23:57 time: 0.4264 data_time: 0.0141 memory: 17087 grad_norm: 5.5166 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0696 loss: 1.0696 2022/08/04 10:00:32 - mmengine - INFO - Epoch(train) [108][1560/1879] lr: 1.0000e-03 eta: 1 day, 9:23:49 time: 0.4479 data_time: 0.0154 memory: 17087 grad_norm: 5.4470 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0964 loss: 1.0964 2022/08/04 10:00:40 - mmengine - INFO - Epoch(train) [108][1580/1879] lr: 1.0000e-03 eta: 1 day, 9:23:40 time: 0.4263 data_time: 0.0154 memory: 17087 grad_norm: 5.4501 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0474 loss: 1.0474 2022/08/04 10:00:49 - mmengine - INFO - Epoch(train) [108][1600/1879] lr: 1.0000e-03 eta: 1 day, 9:23:31 time: 0.4348 data_time: 0.0165 memory: 17087 grad_norm: 5.3386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2376 loss: 1.2376 2022/08/04 10:00:58 - mmengine - INFO - Epoch(train) [108][1620/1879] lr: 1.0000e-03 eta: 1 day, 9:23:22 time: 0.4267 data_time: 0.0138 memory: 17087 grad_norm: 5.1898 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9624 loss: 0.9624 2022/08/04 10:01:06 - mmengine - INFO - Epoch(train) [108][1640/1879] lr: 1.0000e-03 eta: 1 day, 9:23:14 time: 0.4273 data_time: 0.0155 memory: 17087 grad_norm: 5.4723 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0840 loss: 1.0840 2022/08/04 10:01:15 - mmengine - INFO - Epoch(train) [108][1660/1879] lr: 1.0000e-03 eta: 1 day, 9:23:05 time: 0.4496 data_time: 0.0154 memory: 17087 grad_norm: 5.5792 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1716 loss: 1.1716 2022/08/04 10:01:24 - mmengine - INFO - Epoch(train) [108][1680/1879] lr: 1.0000e-03 eta: 1 day, 9:22:57 time: 0.4314 data_time: 0.0202 memory: 17087 grad_norm: 5.3025 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0083 loss: 1.0083 2022/08/04 10:01:32 - mmengine - INFO - Epoch(train) [108][1700/1879] lr: 1.0000e-03 eta: 1 day, 9:22:48 time: 0.4287 data_time: 0.0153 memory: 17087 grad_norm: 5.3767 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9499 loss: 0.9499 2022/08/04 10:01:41 - mmengine - INFO - Epoch(train) [108][1720/1879] lr: 1.0000e-03 eta: 1 day, 9:22:39 time: 0.4279 data_time: 0.0161 memory: 17087 grad_norm: 5.5533 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0627 loss: 1.0627 2022/08/04 10:01:50 - mmengine - INFO - Epoch(train) [108][1740/1879] lr: 1.0000e-03 eta: 1 day, 9:22:31 time: 0.4515 data_time: 0.0164 memory: 17087 grad_norm: 5.5671 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0250 loss: 1.0250 2022/08/04 10:01:59 - mmengine - INFO - Epoch(train) [108][1760/1879] lr: 1.0000e-03 eta: 1 day, 9:22:22 time: 0.4254 data_time: 0.0149 memory: 17087 grad_norm: 5.6338 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0442 loss: 1.0442 2022/08/04 10:02:07 - mmengine - INFO - Epoch(train) [108][1780/1879] lr: 1.0000e-03 eta: 1 day, 9:22:14 time: 0.4392 data_time: 0.0163 memory: 17087 grad_norm: 5.4695 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9372 loss: 0.9372 2022/08/04 10:02:16 - mmengine - INFO - Epoch(train) [108][1800/1879] lr: 1.0000e-03 eta: 1 day, 9:22:05 time: 0.4264 data_time: 0.0157 memory: 17087 grad_norm: 5.5552 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0209 loss: 1.0209 2022/08/04 10:02:24 - mmengine - INFO - Epoch(train) [108][1820/1879] lr: 1.0000e-03 eta: 1 day, 9:21:56 time: 0.4264 data_time: 0.0143 memory: 17087 grad_norm: 5.5108 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0962 loss: 1.0962 2022/08/04 10:02:34 - mmengine - INFO - Epoch(train) [108][1840/1879] lr: 1.0000e-03 eta: 1 day, 9:21:49 time: 0.4588 data_time: 0.0183 memory: 17087 grad_norm: 5.5475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0899 loss: 1.0899 2022/08/04 10:02:42 - mmengine - INFO - Epoch(train) [108][1860/1879] lr: 1.0000e-03 eta: 1 day, 9:21:40 time: 0.4283 data_time: 0.0146 memory: 17087 grad_norm: 5.4111 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9577 loss: 0.9577 2022/08/04 10:02:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 10:02:51 - mmengine - INFO - Epoch(train) [108][1879/1879] lr: 1.0000e-03 eta: 1 day, 9:21:40 time: 0.4402 data_time: 0.0164 memory: 17087 grad_norm: 5.6839 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.8949 loss: 0.8949 2022/08/04 10:02:51 - mmengine - INFO - Saving checkpoint at 108 epochs 2022/08/04 10:03:04 - mmengine - INFO - Epoch(train) [109][20/1879] lr: 1.0000e-03 eta: 1 day, 9:21:14 time: 0.5143 data_time: 0.1008 memory: 17087 grad_norm: 5.7286 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1873 loss: 1.1873 2022/08/04 10:03:13 - mmengine - INFO - Epoch(train) [109][40/1879] lr: 1.0000e-03 eta: 1 day, 9:21:05 time: 0.4313 data_time: 0.0181 memory: 17087 grad_norm: 5.5185 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9590 loss: 0.9590 2022/08/04 10:03:22 - mmengine - INFO - Epoch(train) [109][60/1879] lr: 1.0000e-03 eta: 1 day, 9:20:57 time: 0.4306 data_time: 0.0147 memory: 17087 grad_norm: 5.5168 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0470 loss: 1.0470 2022/08/04 10:03:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 10:03:30 - mmengine - INFO - Epoch(train) [109][80/1879] lr: 1.0000e-03 eta: 1 day, 9:20:48 time: 0.4293 data_time: 0.0169 memory: 17087 grad_norm: 5.4163 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0582 loss: 1.0582 2022/08/04 10:03:39 - mmengine - INFO - Epoch(train) [109][100/1879] lr: 1.0000e-03 eta: 1 day, 9:20:39 time: 0.4304 data_time: 0.0148 memory: 17087 grad_norm: 5.3830 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9549 loss: 0.9549 2022/08/04 10:03:48 - mmengine - INFO - Epoch(train) [109][120/1879] lr: 1.0000e-03 eta: 1 day, 9:20:32 time: 0.4637 data_time: 0.0174 memory: 17087 grad_norm: 5.6458 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2304 loss: 1.2304 2022/08/04 10:03:57 - mmengine - INFO - Epoch(train) [109][140/1879] lr: 1.0000e-03 eta: 1 day, 9:20:23 time: 0.4250 data_time: 0.0140 memory: 17087 grad_norm: 5.5972 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1246 loss: 1.1246 2022/08/04 10:04:05 - mmengine - INFO - Epoch(train) [109][160/1879] lr: 1.0000e-03 eta: 1 day, 9:20:14 time: 0.4275 data_time: 0.0150 memory: 17087 grad_norm: 5.4005 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0478 loss: 1.0478 2022/08/04 10:04:14 - mmengine - INFO - Epoch(train) [109][180/1879] lr: 1.0000e-03 eta: 1 day, 9:20:06 time: 0.4428 data_time: 0.0154 memory: 17087 grad_norm: 5.5475 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1316 loss: 1.1316 2022/08/04 10:04:23 - mmengine - INFO - Epoch(train) [109][200/1879] lr: 1.0000e-03 eta: 1 day, 9:19:57 time: 0.4297 data_time: 0.0190 memory: 17087 grad_norm: 5.4326 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1667 loss: 1.1667 2022/08/04 10:04:31 - mmengine - INFO - Epoch(train) [109][220/1879] lr: 1.0000e-03 eta: 1 day, 9:19:48 time: 0.4390 data_time: 0.0147 memory: 17087 grad_norm: 5.4138 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2117 loss: 1.2117 2022/08/04 10:04:40 - mmengine - INFO - Epoch(train) [109][240/1879] lr: 1.0000e-03 eta: 1 day, 9:19:40 time: 0.4281 data_time: 0.0160 memory: 17087 grad_norm: 5.6622 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.3716 loss: 1.3716 2022/08/04 10:04:49 - mmengine - INFO - Epoch(train) [109][260/1879] lr: 1.0000e-03 eta: 1 day, 9:19:31 time: 0.4308 data_time: 0.0158 memory: 17087 grad_norm: 5.4724 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9768 loss: 0.9768 2022/08/04 10:04:57 - mmengine - INFO - Epoch(train) [109][280/1879] lr: 1.0000e-03 eta: 1 day, 9:19:22 time: 0.4255 data_time: 0.0158 memory: 17087 grad_norm: 5.4689 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9529 loss: 0.9529 2022/08/04 10:05:06 - mmengine - INFO - Epoch(train) [109][300/1879] lr: 1.0000e-03 eta: 1 day, 9:19:13 time: 0.4266 data_time: 0.0144 memory: 17087 grad_norm: 5.5019 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0156 loss: 1.0156 2022/08/04 10:05:15 - mmengine - INFO - Epoch(train) [109][320/1879] lr: 1.0000e-03 eta: 1 day, 9:19:06 time: 0.4572 data_time: 0.0193 memory: 17087 grad_norm: 5.5723 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1617 loss: 1.1617 2022/08/04 10:05:23 - mmengine - INFO - Epoch(train) [109][340/1879] lr: 1.0000e-03 eta: 1 day, 9:18:57 time: 0.4280 data_time: 0.0165 memory: 17087 grad_norm: 5.5706 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9734 loss: 0.9734 2022/08/04 10:05:32 - mmengine - INFO - Epoch(train) [109][360/1879] lr: 1.0000e-03 eta: 1 day, 9:18:48 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 5.5792 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0685 loss: 1.0685 2022/08/04 10:05:41 - mmengine - INFO - Epoch(train) [109][380/1879] lr: 1.0000e-03 eta: 1 day, 9:18:40 time: 0.4350 data_time: 0.0170 memory: 17087 grad_norm: 5.5752 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1080 loss: 1.1080 2022/08/04 10:05:49 - mmengine - INFO - Epoch(train) [109][400/1879] lr: 1.0000e-03 eta: 1 day, 9:18:31 time: 0.4290 data_time: 0.0169 memory: 17087 grad_norm: 5.3790 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9309 loss: 0.9309 2022/08/04 10:05:58 - mmengine - INFO - Epoch(train) [109][420/1879] lr: 1.0000e-03 eta: 1 day, 9:18:23 time: 0.4427 data_time: 0.0149 memory: 17087 grad_norm: 5.3447 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9284 loss: 0.9284 2022/08/04 10:06:07 - mmengine - INFO - Epoch(train) [109][440/1879] lr: 1.0000e-03 eta: 1 day, 9:18:14 time: 0.4287 data_time: 0.0172 memory: 17087 grad_norm: 5.3545 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1911 loss: 1.1911 2022/08/04 10:06:15 - mmengine - INFO - Epoch(train) [109][460/1879] lr: 1.0000e-03 eta: 1 day, 9:18:05 time: 0.4267 data_time: 0.0137 memory: 17087 grad_norm: 5.4172 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1635 loss: 1.1635 2022/08/04 10:06:24 - mmengine - INFO - Epoch(train) [109][480/1879] lr: 1.0000e-03 eta: 1 day, 9:17:57 time: 0.4533 data_time: 0.0171 memory: 17087 grad_norm: 5.4575 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9527 loss: 0.9527 2022/08/04 10:06:33 - mmengine - INFO - Epoch(train) [109][500/1879] lr: 1.0000e-03 eta: 1 day, 9:17:48 time: 0.4319 data_time: 0.0152 memory: 17087 grad_norm: 5.3617 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9923 loss: 0.9923 2022/08/04 10:06:42 - mmengine - INFO - Epoch(train) [109][520/1879] lr: 1.0000e-03 eta: 1 day, 9:17:40 time: 0.4465 data_time: 0.0156 memory: 17087 grad_norm: 5.4267 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1432 loss: 1.1432 2022/08/04 10:06:51 - mmengine - INFO - Epoch(train) [109][540/1879] lr: 1.0000e-03 eta: 1 day, 9:17:31 time: 0.4310 data_time: 0.0149 memory: 17087 grad_norm: 5.5958 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.4660 loss: 1.4660 2022/08/04 10:06:59 - mmengine - INFO - Epoch(train) [109][560/1879] lr: 1.0000e-03 eta: 1 day, 9:17:23 time: 0.4357 data_time: 0.0174 memory: 17087 grad_norm: 5.3804 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0438 loss: 1.0438 2022/08/04 10:07:08 - mmengine - INFO - Epoch(train) [109][580/1879] lr: 1.0000e-03 eta: 1 day, 9:17:14 time: 0.4257 data_time: 0.0155 memory: 17087 grad_norm: 5.4852 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2113 loss: 1.2113 2022/08/04 10:07:17 - mmengine - INFO - Epoch(train) [109][600/1879] lr: 1.0000e-03 eta: 1 day, 9:17:05 time: 0.4284 data_time: 0.0170 memory: 17087 grad_norm: 5.3163 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0552 loss: 1.0552 2022/08/04 10:07:25 - mmengine - INFO - Epoch(train) [109][620/1879] lr: 1.0000e-03 eta: 1 day, 9:16:57 time: 0.4318 data_time: 0.0149 memory: 17087 grad_norm: 5.4313 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0918 loss: 1.0918 2022/08/04 10:07:34 - mmengine - INFO - Epoch(train) [109][640/1879] lr: 1.0000e-03 eta: 1 day, 9:16:48 time: 0.4284 data_time: 0.0156 memory: 17087 grad_norm: 5.5592 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0365 loss: 1.0365 2022/08/04 10:07:42 - mmengine - INFO - Epoch(train) [109][660/1879] lr: 1.0000e-03 eta: 1 day, 9:16:39 time: 0.4337 data_time: 0.0168 memory: 17087 grad_norm: 5.6396 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1181 loss: 1.1181 2022/08/04 10:07:51 - mmengine - INFO - Epoch(train) [109][680/1879] lr: 1.0000e-03 eta: 1 day, 9:16:31 time: 0.4341 data_time: 0.0157 memory: 17087 grad_norm: 5.4194 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8803 loss: 0.8803 2022/08/04 10:08:00 - mmengine - INFO - Epoch(train) [109][700/1879] lr: 1.0000e-03 eta: 1 day, 9:16:22 time: 0.4398 data_time: 0.0151 memory: 17087 grad_norm: 5.5154 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1240 loss: 1.1240 2022/08/04 10:08:09 - mmengine - INFO - Epoch(train) [109][720/1879] lr: 1.0000e-03 eta: 1 day, 9:16:14 time: 0.4276 data_time: 0.0161 memory: 17087 grad_norm: 5.4391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1652 loss: 1.1652 2022/08/04 10:08:17 - mmengine - INFO - Epoch(train) [109][740/1879] lr: 1.0000e-03 eta: 1 day, 9:16:05 time: 0.4266 data_time: 0.0139 memory: 17087 grad_norm: 5.4089 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0945 loss: 1.0945 2022/08/04 10:08:26 - mmengine - INFO - Epoch(train) [109][760/1879] lr: 1.0000e-03 eta: 1 day, 9:15:56 time: 0.4309 data_time: 0.0179 memory: 17087 grad_norm: 5.4916 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0263 loss: 1.0263 2022/08/04 10:08:34 - mmengine - INFO - Epoch(train) [109][780/1879] lr: 1.0000e-03 eta: 1 day, 9:15:47 time: 0.4263 data_time: 0.0122 memory: 17087 grad_norm: 5.6107 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1374 loss: 1.1374 2022/08/04 10:08:43 - mmengine - INFO - Epoch(train) [109][800/1879] lr: 1.0000e-03 eta: 1 day, 9:15:39 time: 0.4318 data_time: 0.0185 memory: 17087 grad_norm: 5.7137 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2408 loss: 1.2408 2022/08/04 10:08:51 - mmengine - INFO - Epoch(train) [109][820/1879] lr: 1.0000e-03 eta: 1 day, 9:15:30 time: 0.4254 data_time: 0.0139 memory: 17087 grad_norm: 5.7458 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0739 loss: 1.0739 2022/08/04 10:09:00 - mmengine - INFO - Epoch(train) [109][840/1879] lr: 1.0000e-03 eta: 1 day, 9:15:22 time: 0.4502 data_time: 0.0166 memory: 17087 grad_norm: 5.5282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0413 loss: 1.0413 2022/08/04 10:09:09 - mmengine - INFO - Epoch(train) [109][860/1879] lr: 1.0000e-03 eta: 1 day, 9:15:13 time: 0.4267 data_time: 0.0146 memory: 17087 grad_norm: 5.4729 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2598 loss: 1.2598 2022/08/04 10:09:18 - mmengine - INFO - Epoch(train) [109][880/1879] lr: 1.0000e-03 eta: 1 day, 9:15:04 time: 0.4278 data_time: 0.0158 memory: 17087 grad_norm: 5.4416 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2062 loss: 1.2062 2022/08/04 10:09:26 - mmengine - INFO - Epoch(train) [109][900/1879] lr: 1.0000e-03 eta: 1 day, 9:14:56 time: 0.4290 data_time: 0.0133 memory: 17087 grad_norm: 5.5718 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3495 loss: 1.3495 2022/08/04 10:09:35 - mmengine - INFO - Epoch(train) [109][920/1879] lr: 1.0000e-03 eta: 1 day, 9:14:47 time: 0.4289 data_time: 0.0165 memory: 17087 grad_norm: 5.4192 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0002 loss: 1.0002 2022/08/04 10:09:44 - mmengine - INFO - Epoch(train) [109][940/1879] lr: 1.0000e-03 eta: 1 day, 9:14:39 time: 0.4544 data_time: 0.0146 memory: 17087 grad_norm: 5.5815 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2139 loss: 1.2139 2022/08/04 10:09:52 - mmengine - INFO - Epoch(train) [109][960/1879] lr: 1.0000e-03 eta: 1 day, 9:14:30 time: 0.4278 data_time: 0.0157 memory: 17087 grad_norm: 5.5100 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1029 loss: 1.1029 2022/08/04 10:10:01 - mmengine - INFO - Epoch(train) [109][980/1879] lr: 1.0000e-03 eta: 1 day, 9:14:22 time: 0.4329 data_time: 0.0190 memory: 17087 grad_norm: 5.5172 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9676 loss: 0.9676 2022/08/04 10:10:10 - mmengine - INFO - Epoch(train) [109][1000/1879] lr: 1.0000e-03 eta: 1 day, 9:14:13 time: 0.4364 data_time: 0.0175 memory: 17087 grad_norm: 5.5559 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.2744 loss: 1.2744 2022/08/04 10:10:18 - mmengine - INFO - Epoch(train) [109][1020/1879] lr: 1.0000e-03 eta: 1 day, 9:14:04 time: 0.4276 data_time: 0.0143 memory: 17087 grad_norm: 5.4717 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1839 loss: 1.1839 2022/08/04 10:10:27 - mmengine - INFO - Epoch(train) [109][1040/1879] lr: 1.0000e-03 eta: 1 day, 9:13:56 time: 0.4271 data_time: 0.0150 memory: 17087 grad_norm: 5.2135 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9950 loss: 0.9950 2022/08/04 10:10:36 - mmengine - INFO - Epoch(train) [109][1060/1879] lr: 1.0000e-03 eta: 1 day, 9:13:48 time: 0.4596 data_time: 0.0147 memory: 17087 grad_norm: 5.5404 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0173 loss: 1.0173 2022/08/04 10:10:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 10:10:45 - mmengine - INFO - Epoch(train) [109][1080/1879] lr: 1.0000e-03 eta: 1 day, 9:13:39 time: 0.4283 data_time: 0.0168 memory: 17087 grad_norm: 5.4528 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0461 loss: 1.0461 2022/08/04 10:10:53 - mmengine - INFO - Epoch(train) [109][1100/1879] lr: 1.0000e-03 eta: 1 day, 9:13:30 time: 0.4394 data_time: 0.0152 memory: 17087 grad_norm: 5.5852 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2007 loss: 1.2007 2022/08/04 10:11:02 - mmengine - INFO - Epoch(train) [109][1120/1879] lr: 1.0000e-03 eta: 1 day, 9:13:22 time: 0.4276 data_time: 0.0167 memory: 17087 grad_norm: 5.5894 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9958 loss: 0.9958 2022/08/04 10:11:11 - mmengine - INFO - Epoch(train) [109][1140/1879] lr: 1.0000e-03 eta: 1 day, 9:13:13 time: 0.4346 data_time: 0.0153 memory: 17087 grad_norm: 5.4568 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0671 loss: 1.0671 2022/08/04 10:11:19 - mmengine - INFO - Epoch(train) [109][1160/1879] lr: 1.0000e-03 eta: 1 day, 9:13:04 time: 0.4281 data_time: 0.0156 memory: 17087 grad_norm: 5.6186 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0793 loss: 1.0793 2022/08/04 10:11:28 - mmengine - INFO - Epoch(train) [109][1180/1879] lr: 1.0000e-03 eta: 1 day, 9:12:56 time: 0.4442 data_time: 0.0138 memory: 17087 grad_norm: 5.5604 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9372 loss: 0.9372 2022/08/04 10:11:37 - mmengine - INFO - Epoch(train) [109][1200/1879] lr: 1.0000e-03 eta: 1 day, 9:12:47 time: 0.4262 data_time: 0.0162 memory: 17087 grad_norm: 5.5943 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1433 loss: 1.1433 2022/08/04 10:11:45 - mmengine - INFO - Epoch(train) [109][1220/1879] lr: 1.0000e-03 eta: 1 day, 9:12:39 time: 0.4279 data_time: 0.0161 memory: 17087 grad_norm: 5.3861 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1510 loss: 1.1510 2022/08/04 10:11:54 - mmengine - INFO - Epoch(train) [109][1240/1879] lr: 1.0000e-03 eta: 1 day, 9:12:30 time: 0.4362 data_time: 0.0184 memory: 17087 grad_norm: 5.5007 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1025 loss: 1.1025 2022/08/04 10:12:03 - mmengine - INFO - Epoch(train) [109][1260/1879] lr: 1.0000e-03 eta: 1 day, 9:12:21 time: 0.4258 data_time: 0.0133 memory: 17087 grad_norm: 5.5343 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9302 loss: 0.9302 2022/08/04 10:12:11 - mmengine - INFO - Epoch(train) [109][1280/1879] lr: 1.0000e-03 eta: 1 day, 9:12:13 time: 0.4382 data_time: 0.0215 memory: 17087 grad_norm: 5.4690 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9778 loss: 0.9778 2022/08/04 10:12:20 - mmengine - INFO - Epoch(train) [109][1300/1879] lr: 1.0000e-03 eta: 1 day, 9:12:04 time: 0.4267 data_time: 0.0155 memory: 17087 grad_norm: 5.6593 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0603 loss: 1.0603 2022/08/04 10:12:29 - mmengine - INFO - Epoch(train) [109][1320/1879] lr: 1.0000e-03 eta: 1 day, 9:11:55 time: 0.4304 data_time: 0.0171 memory: 17087 grad_norm: 5.5275 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0816 loss: 1.0816 2022/08/04 10:12:37 - mmengine - INFO - Epoch(train) [109][1340/1879] lr: 1.0000e-03 eta: 1 day, 9:11:47 time: 0.4267 data_time: 0.0143 memory: 17087 grad_norm: 5.4802 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2394 loss: 1.2394 2022/08/04 10:12:46 - mmengine - INFO - Epoch(train) [109][1360/1879] lr: 1.0000e-03 eta: 1 day, 9:11:38 time: 0.4293 data_time: 0.0170 memory: 17087 grad_norm: 5.5956 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1244 loss: 1.1244 2022/08/04 10:12:55 - mmengine - INFO - Epoch(train) [109][1380/1879] lr: 1.0000e-03 eta: 1 day, 9:11:30 time: 0.4510 data_time: 0.0130 memory: 17087 grad_norm: 5.4713 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0521 loss: 1.0521 2022/08/04 10:13:03 - mmengine - INFO - Epoch(train) [109][1400/1879] lr: 1.0000e-03 eta: 1 day, 9:11:21 time: 0.4269 data_time: 0.0158 memory: 17087 grad_norm: 5.5918 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0967 loss: 1.0967 2022/08/04 10:13:12 - mmengine - INFO - Epoch(train) [109][1420/1879] lr: 1.0000e-03 eta: 1 day, 9:11:12 time: 0.4292 data_time: 0.0157 memory: 17087 grad_norm: 5.6285 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0671 loss: 1.0671 2022/08/04 10:13:20 - mmengine - INFO - Epoch(train) [109][1440/1879] lr: 1.0000e-03 eta: 1 day, 9:11:04 time: 0.4295 data_time: 0.0159 memory: 17087 grad_norm: 5.5982 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0230 loss: 1.0230 2022/08/04 10:13:29 - mmengine - INFO - Epoch(train) [109][1460/1879] lr: 1.0000e-03 eta: 1 day, 9:10:55 time: 0.4307 data_time: 0.0146 memory: 17087 grad_norm: 5.4270 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1589 loss: 1.1589 2022/08/04 10:13:38 - mmengine - INFO - Epoch(train) [109][1480/1879] lr: 1.0000e-03 eta: 1 day, 9:10:46 time: 0.4283 data_time: 0.0163 memory: 17087 grad_norm: 5.5219 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2078 loss: 1.2078 2022/08/04 10:13:46 - mmengine - INFO - Epoch(train) [109][1500/1879] lr: 1.0000e-03 eta: 1 day, 9:10:37 time: 0.4258 data_time: 0.0150 memory: 17087 grad_norm: 5.4869 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1877 loss: 1.1877 2022/08/04 10:13:55 - mmengine - INFO - Epoch(train) [109][1520/1879] lr: 1.0000e-03 eta: 1 day, 9:10:29 time: 0.4546 data_time: 0.0176 memory: 17087 grad_norm: 5.6184 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8616 loss: 0.8616 2022/08/04 10:14:04 - mmengine - INFO - Epoch(train) [109][1540/1879] lr: 1.0000e-03 eta: 1 day, 9:10:21 time: 0.4283 data_time: 0.0164 memory: 17087 grad_norm: 5.3794 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9395 loss: 0.9395 2022/08/04 10:14:13 - mmengine - INFO - Epoch(train) [109][1560/1879] lr: 1.0000e-03 eta: 1 day, 9:10:12 time: 0.4346 data_time: 0.0166 memory: 17087 grad_norm: 5.5610 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0121 loss: 1.0121 2022/08/04 10:14:21 - mmengine - INFO - Epoch(train) [109][1580/1879] lr: 1.0000e-03 eta: 1 day, 9:10:03 time: 0.4271 data_time: 0.0138 memory: 17087 grad_norm: 5.5722 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9160 loss: 0.9160 2022/08/04 10:14:30 - mmengine - INFO - Epoch(train) [109][1600/1879] lr: 1.0000e-03 eta: 1 day, 9:09:55 time: 0.4460 data_time: 0.0167 memory: 17087 grad_norm: 5.2472 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0354 loss: 1.0354 2022/08/04 10:14:39 - mmengine - INFO - Epoch(train) [109][1620/1879] lr: 1.0000e-03 eta: 1 day, 9:09:47 time: 0.4429 data_time: 0.0170 memory: 17087 grad_norm: 5.5393 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9658 loss: 0.9658 2022/08/04 10:14:48 - mmengine - INFO - Epoch(train) [109][1640/1879] lr: 1.0000e-03 eta: 1 day, 9:09:38 time: 0.4275 data_time: 0.0154 memory: 17087 grad_norm: 5.5757 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1450 loss: 1.1450 2022/08/04 10:14:56 - mmengine - INFO - Epoch(train) [109][1660/1879] lr: 1.0000e-03 eta: 1 day, 9:09:30 time: 0.4399 data_time: 0.0149 memory: 17087 grad_norm: 5.3985 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8045 loss: 0.8045 2022/08/04 10:15:05 - mmengine - INFO - Epoch(train) [109][1680/1879] lr: 1.0000e-03 eta: 1 day, 9:09:21 time: 0.4301 data_time: 0.0173 memory: 17087 grad_norm: 5.4040 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1014 loss: 1.1014 2022/08/04 10:15:13 - mmengine - INFO - Epoch(train) [109][1700/1879] lr: 1.0000e-03 eta: 1 day, 9:09:12 time: 0.4260 data_time: 0.0152 memory: 17087 grad_norm: 5.5998 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2876 loss: 1.2876 2022/08/04 10:15:23 - mmengine - INFO - Epoch(train) [109][1720/1879] lr: 1.0000e-03 eta: 1 day, 9:09:04 time: 0.4581 data_time: 0.0181 memory: 17087 grad_norm: 5.5725 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9643 loss: 0.9643 2022/08/04 10:15:31 - mmengine - INFO - Epoch(train) [109][1740/1879] lr: 1.0000e-03 eta: 1 day, 9:08:55 time: 0.4256 data_time: 0.0146 memory: 17087 grad_norm: 5.5616 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.2158 loss: 1.2158 2022/08/04 10:15:40 - mmengine - INFO - Epoch(train) [109][1760/1879] lr: 1.0000e-03 eta: 1 day, 9:08:47 time: 0.4400 data_time: 0.0214 memory: 17087 grad_norm: 5.6672 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0787 loss: 1.0787 2022/08/04 10:15:49 - mmengine - INFO - Epoch(train) [109][1780/1879] lr: 1.0000e-03 eta: 1 day, 9:08:38 time: 0.4274 data_time: 0.0149 memory: 17087 grad_norm: 5.7348 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0471 loss: 1.0471 2022/08/04 10:15:57 - mmengine - INFO - Epoch(train) [109][1800/1879] lr: 1.0000e-03 eta: 1 day, 9:08:29 time: 0.4272 data_time: 0.0162 memory: 17087 grad_norm: 5.5207 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0335 loss: 1.0335 2022/08/04 10:16:06 - mmengine - INFO - Epoch(train) [109][1820/1879] lr: 1.0000e-03 eta: 1 day, 9:08:21 time: 0.4382 data_time: 0.0157 memory: 17087 grad_norm: 5.6907 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1677 loss: 1.1677 2022/08/04 10:16:14 - mmengine - INFO - Epoch(train) [109][1840/1879] lr: 1.0000e-03 eta: 1 day, 9:08:12 time: 0.4286 data_time: 0.0154 memory: 17087 grad_norm: 5.4337 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0736 loss: 1.0736 2022/08/04 10:16:24 - mmengine - INFO - Epoch(train) [109][1860/1879] lr: 1.0000e-03 eta: 1 day, 9:08:04 time: 0.4555 data_time: 0.0156 memory: 17087 grad_norm: 5.4446 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0287 loss: 1.0287 2022/08/04 10:16:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 10:16:31 - mmengine - INFO - Epoch(train) [109][1879/1879] lr: 1.0000e-03 eta: 1 day, 9:08:04 time: 0.4081 data_time: 0.0138 memory: 17087 grad_norm: 5.8578 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 1.0269 loss: 1.0269 2022/08/04 10:16:42 - mmengine - INFO - Epoch(train) [110][20/1879] lr: 1.0000e-03 eta: 1 day, 9:07:39 time: 0.5426 data_time: 0.1123 memory: 17087 grad_norm: 5.5733 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1766 loss: 1.1766 2022/08/04 10:16:51 - mmengine - INFO - Epoch(train) [110][40/1879] lr: 1.0000e-03 eta: 1 day, 9:07:31 time: 0.4339 data_time: 0.0236 memory: 17087 grad_norm: 5.4961 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0270 loss: 1.0270 2022/08/04 10:17:00 - mmengine - INFO - Epoch(train) [110][60/1879] lr: 1.0000e-03 eta: 1 day, 9:07:22 time: 0.4276 data_time: 0.0158 memory: 17087 grad_norm: 5.3354 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0521 loss: 1.0521 2022/08/04 10:17:08 - mmengine - INFO - Epoch(train) [110][80/1879] lr: 1.0000e-03 eta: 1 day, 9:07:14 time: 0.4378 data_time: 0.0160 memory: 17087 grad_norm: 5.5099 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1069 loss: 1.1069 2022/08/04 10:17:18 - mmengine - INFO - Epoch(train) [110][100/1879] lr: 1.0000e-03 eta: 1 day, 9:07:06 time: 0.4582 data_time: 0.0151 memory: 17087 grad_norm: 5.5733 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9863 loss: 0.9863 2022/08/04 10:17:26 - mmengine - INFO - Epoch(train) [110][120/1879] lr: 1.0000e-03 eta: 1 day, 9:06:57 time: 0.4287 data_time: 0.0153 memory: 17087 grad_norm: 5.5819 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0842 loss: 1.0842 2022/08/04 10:17:35 - mmengine - INFO - Epoch(train) [110][140/1879] lr: 1.0000e-03 eta: 1 day, 9:06:49 time: 0.4609 data_time: 0.0153 memory: 17087 grad_norm: 5.6919 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0853 loss: 1.0853 2022/08/04 10:17:44 - mmengine - INFO - Epoch(train) [110][160/1879] lr: 1.0000e-03 eta: 1 day, 9:06:40 time: 0.4291 data_time: 0.0160 memory: 17087 grad_norm: 5.4877 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1216 loss: 1.1216 2022/08/04 10:17:53 - mmengine - INFO - Epoch(train) [110][180/1879] lr: 1.0000e-03 eta: 1 day, 9:06:32 time: 0.4411 data_time: 0.0162 memory: 17087 grad_norm: 5.5101 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2485 loss: 1.2485 2022/08/04 10:17:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 10:18:01 - mmengine - INFO - Epoch(train) [110][200/1879] lr: 1.0000e-03 eta: 1 day, 9:06:23 time: 0.4266 data_time: 0.0152 memory: 17087 grad_norm: 5.5310 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1032 loss: 1.1032 2022/08/04 10:18:10 - mmengine - INFO - Epoch(train) [110][220/1879] lr: 1.0000e-03 eta: 1 day, 9:06:15 time: 0.4320 data_time: 0.0140 memory: 17087 grad_norm: 5.4832 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8959 loss: 0.8959 2022/08/04 10:18:19 - mmengine - INFO - Epoch(train) [110][240/1879] lr: 1.0000e-03 eta: 1 day, 9:06:06 time: 0.4288 data_time: 0.0155 memory: 17087 grad_norm: 5.4315 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0164 loss: 1.0164 2022/08/04 10:18:27 - mmengine - INFO - Epoch(train) [110][260/1879] lr: 1.0000e-03 eta: 1 day, 9:05:57 time: 0.4263 data_time: 0.0139 memory: 17087 grad_norm: 5.7945 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 1.0772 loss: 1.0772 2022/08/04 10:18:36 - mmengine - INFO - Epoch(train) [110][280/1879] lr: 1.0000e-03 eta: 1 day, 9:05:48 time: 0.4332 data_time: 0.0181 memory: 17087 grad_norm: 5.7563 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0525 loss: 1.0525 2022/08/04 10:18:44 - mmengine - INFO - Epoch(train) [110][300/1879] lr: 1.0000e-03 eta: 1 day, 9:05:40 time: 0.4273 data_time: 0.0150 memory: 17087 grad_norm: 5.4116 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9812 loss: 0.9812 2022/08/04 10:18:53 - mmengine - INFO - Epoch(train) [110][320/1879] lr: 1.0000e-03 eta: 1 day, 9:05:31 time: 0.4497 data_time: 0.0165 memory: 17087 grad_norm: 5.4948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9394 loss: 0.9394 2022/08/04 10:19:02 - mmengine - INFO - Epoch(train) [110][340/1879] lr: 1.0000e-03 eta: 1 day, 9:05:23 time: 0.4278 data_time: 0.0141 memory: 17087 grad_norm: 5.5317 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1394 loss: 1.1394 2022/08/04 10:19:11 - mmengine - INFO - Epoch(train) [110][360/1879] lr: 1.0000e-03 eta: 1 day, 9:05:15 time: 0.4632 data_time: 0.0220 memory: 17087 grad_norm: 5.5366 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9234 loss: 0.9234 2022/08/04 10:19:20 - mmengine - INFO - Epoch(train) [110][380/1879] lr: 1.0000e-03 eta: 1 day, 9:05:06 time: 0.4268 data_time: 0.0134 memory: 17087 grad_norm: 5.6121 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1866 loss: 1.1866 2022/08/04 10:19:28 - mmengine - INFO - Epoch(train) [110][400/1879] lr: 1.0000e-03 eta: 1 day, 9:04:57 time: 0.4274 data_time: 0.0150 memory: 17087 grad_norm: 5.3566 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0206 loss: 1.0206 2022/08/04 10:19:37 - mmengine - INFO - Epoch(train) [110][420/1879] lr: 1.0000e-03 eta: 1 day, 9:04:49 time: 0.4396 data_time: 0.0167 memory: 17087 grad_norm: 5.7978 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1508 loss: 1.1508 2022/08/04 10:19:46 - mmengine - INFO - Epoch(train) [110][440/1879] lr: 1.0000e-03 eta: 1 day, 9:04:40 time: 0.4328 data_time: 0.0155 memory: 17087 grad_norm: 5.5041 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0271 loss: 1.0271 2022/08/04 10:19:55 - mmengine - INFO - Epoch(train) [110][460/1879] lr: 1.0000e-03 eta: 1 day, 9:04:32 time: 0.4439 data_time: 0.0159 memory: 17087 grad_norm: 5.5846 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0243 loss: 1.0243 2022/08/04 10:20:03 - mmengine - INFO - Epoch(train) [110][480/1879] lr: 1.0000e-03 eta: 1 day, 9:04:23 time: 0.4277 data_time: 0.0151 memory: 17087 grad_norm: 5.5267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0238 loss: 1.0238 2022/08/04 10:20:12 - mmengine - INFO - Epoch(train) [110][500/1879] lr: 1.0000e-03 eta: 1 day, 9:04:15 time: 0.4455 data_time: 0.0151 memory: 17087 grad_norm: 5.4625 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0294 loss: 1.0294 2022/08/04 10:20:21 - mmengine - INFO - Epoch(train) [110][520/1879] lr: 1.0000e-03 eta: 1 day, 9:04:06 time: 0.4277 data_time: 0.0151 memory: 17087 grad_norm: 5.7390 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9991 loss: 0.9991 2022/08/04 10:20:29 - mmengine - INFO - Epoch(train) [110][540/1879] lr: 1.0000e-03 eta: 1 day, 9:03:58 time: 0.4368 data_time: 0.0155 memory: 17087 grad_norm: 5.4732 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1743 loss: 1.1743 2022/08/04 10:20:38 - mmengine - INFO - Epoch(train) [110][560/1879] lr: 1.0000e-03 eta: 1 day, 9:03:49 time: 0.4278 data_time: 0.0165 memory: 17087 grad_norm: 5.3217 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1662 loss: 1.1662 2022/08/04 10:20:47 - mmengine - INFO - Epoch(train) [110][580/1879] lr: 1.0000e-03 eta: 1 day, 9:03:40 time: 0.4258 data_time: 0.0135 memory: 17087 grad_norm: 5.6943 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1522 loss: 1.1522 2022/08/04 10:20:56 - mmengine - INFO - Epoch(train) [110][600/1879] lr: 1.0000e-03 eta: 1 day, 9:03:32 time: 0.4528 data_time: 0.0163 memory: 17087 grad_norm: 5.6468 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0794 loss: 1.0794 2022/08/04 10:21:04 - mmengine - INFO - Epoch(train) [110][620/1879] lr: 1.0000e-03 eta: 1 day, 9:03:23 time: 0.4272 data_time: 0.0154 memory: 17087 grad_norm: 5.3906 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1064 loss: 1.1064 2022/08/04 10:21:13 - mmengine - INFO - Epoch(train) [110][640/1879] lr: 1.0000e-03 eta: 1 day, 9:03:15 time: 0.4340 data_time: 0.0166 memory: 17087 grad_norm: 6.2668 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0833 loss: 1.0833 2022/08/04 10:21:21 - mmengine - INFO - Epoch(train) [110][660/1879] lr: 1.0000e-03 eta: 1 day, 9:03:06 time: 0.4264 data_time: 0.0139 memory: 17087 grad_norm: 5.8457 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0695 loss: 1.0695 2022/08/04 10:21:30 - mmengine - INFO - Epoch(train) [110][680/1879] lr: 1.0000e-03 eta: 1 day, 9:02:57 time: 0.4309 data_time: 0.0176 memory: 17087 grad_norm: 5.3954 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0409 loss: 1.0409 2022/08/04 10:21:39 - mmengine - INFO - Epoch(train) [110][700/1879] lr: 1.0000e-03 eta: 1 day, 9:02:49 time: 0.4257 data_time: 0.0148 memory: 17087 grad_norm: 5.8526 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1298 loss: 1.1298 2022/08/04 10:21:48 - mmengine - INFO - Epoch(train) [110][720/1879] lr: 1.0000e-03 eta: 1 day, 9:02:40 time: 0.4493 data_time: 0.0169 memory: 17087 grad_norm: 5.4014 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0611 loss: 1.0611 2022/08/04 10:21:56 - mmengine - INFO - Epoch(train) [110][740/1879] lr: 1.0000e-03 eta: 1 day, 9:02:32 time: 0.4302 data_time: 0.0133 memory: 17087 grad_norm: 5.4991 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1395 loss: 1.1395 2022/08/04 10:22:05 - mmengine - INFO - Epoch(train) [110][760/1879] lr: 1.0000e-03 eta: 1 day, 9:02:23 time: 0.4294 data_time: 0.0164 memory: 17087 grad_norm: 5.6907 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0873 loss: 1.0873 2022/08/04 10:22:14 - mmengine - INFO - Epoch(train) [110][780/1879] lr: 1.0000e-03 eta: 1 day, 9:02:15 time: 0.4430 data_time: 0.0152 memory: 17087 grad_norm: 5.6504 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1312 loss: 1.1312 2022/08/04 10:22:22 - mmengine - INFO - Epoch(train) [110][800/1879] lr: 1.0000e-03 eta: 1 day, 9:02:06 time: 0.4316 data_time: 0.0167 memory: 17087 grad_norm: 5.7235 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0590 loss: 1.0590 2022/08/04 10:22:31 - mmengine - INFO - Epoch(train) [110][820/1879] lr: 1.0000e-03 eta: 1 day, 9:01:57 time: 0.4284 data_time: 0.0151 memory: 17087 grad_norm: 5.5200 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0874 loss: 1.0874 2022/08/04 10:22:40 - mmengine - INFO - Epoch(train) [110][840/1879] lr: 1.0000e-03 eta: 1 day, 9:01:49 time: 0.4317 data_time: 0.0146 memory: 17087 grad_norm: 5.5535 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1735 loss: 1.1735 2022/08/04 10:22:48 - mmengine - INFO - Epoch(train) [110][860/1879] lr: 1.0000e-03 eta: 1 day, 9:01:40 time: 0.4281 data_time: 0.0152 memory: 17087 grad_norm: 5.3727 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0683 loss: 1.0683 2022/08/04 10:22:57 - mmengine - INFO - Epoch(train) [110][880/1879] lr: 1.0000e-03 eta: 1 day, 9:01:31 time: 0.4241 data_time: 0.0148 memory: 17087 grad_norm: 5.5919 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9809 loss: 0.9809 2022/08/04 10:23:06 - mmengine - INFO - Epoch(train) [110][900/1879] lr: 1.0000e-03 eta: 1 day, 9:01:23 time: 0.4528 data_time: 0.0164 memory: 17087 grad_norm: 5.6327 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1672 loss: 1.1672 2022/08/04 10:23:14 - mmengine - INFO - Epoch(train) [110][920/1879] lr: 1.0000e-03 eta: 1 day, 9:01:14 time: 0.4285 data_time: 0.0162 memory: 17087 grad_norm: 5.4111 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9689 loss: 0.9689 2022/08/04 10:23:23 - mmengine - INFO - Epoch(train) [110][940/1879] lr: 1.0000e-03 eta: 1 day, 9:01:06 time: 0.4407 data_time: 0.0158 memory: 17087 grad_norm: 5.5663 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9230 loss: 0.9230 2022/08/04 10:23:32 - mmengine - INFO - Epoch(train) [110][960/1879] lr: 1.0000e-03 eta: 1 day, 9:00:57 time: 0.4270 data_time: 0.0176 memory: 17087 grad_norm: 5.4621 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1185 loss: 1.1185 2022/08/04 10:23:40 - mmengine - INFO - Epoch(train) [110][980/1879] lr: 1.0000e-03 eta: 1 day, 9:00:48 time: 0.4284 data_time: 0.0162 memory: 17087 grad_norm: 5.7417 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1218 loss: 1.1218 2022/08/04 10:23:49 - mmengine - INFO - Epoch(train) [110][1000/1879] lr: 1.0000e-03 eta: 1 day, 9:00:40 time: 0.4287 data_time: 0.0158 memory: 17087 grad_norm: 5.4713 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8635 loss: 0.8635 2022/08/04 10:23:57 - mmengine - INFO - Epoch(train) [110][1020/1879] lr: 1.0000e-03 eta: 1 day, 9:00:31 time: 0.4253 data_time: 0.0144 memory: 17087 grad_norm: 5.5618 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0880 loss: 1.0880 2022/08/04 10:24:06 - mmengine - INFO - Epoch(train) [110][1040/1879] lr: 1.0000e-03 eta: 1 day, 9:00:23 time: 0.4538 data_time: 0.0155 memory: 17087 grad_norm: 5.7467 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0314 loss: 1.0314 2022/08/04 10:24:15 - mmengine - INFO - Epoch(train) [110][1060/1879] lr: 1.0000e-03 eta: 1 day, 9:00:14 time: 0.4276 data_time: 0.0146 memory: 17087 grad_norm: 5.4752 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0316 loss: 1.0316 2022/08/04 10:24:24 - mmengine - INFO - Epoch(train) [110][1080/1879] lr: 1.0000e-03 eta: 1 day, 9:00:06 time: 0.4498 data_time: 0.0185 memory: 17087 grad_norm: 5.4538 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8914 loss: 0.8914 2022/08/04 10:24:33 - mmengine - INFO - Epoch(train) [110][1100/1879] lr: 1.0000e-03 eta: 1 day, 8:59:58 time: 0.4450 data_time: 0.0173 memory: 17087 grad_norm: 5.5561 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9141 loss: 0.9141 2022/08/04 10:24:42 - mmengine - INFO - Epoch(train) [110][1120/1879] lr: 1.0000e-03 eta: 1 day, 8:59:49 time: 0.4263 data_time: 0.0150 memory: 17087 grad_norm: 5.6146 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2589 loss: 1.2589 2022/08/04 10:24:51 - mmengine - INFO - Epoch(train) [110][1140/1879] lr: 1.0000e-03 eta: 1 day, 8:59:41 time: 0.4619 data_time: 0.0222 memory: 17087 grad_norm: 5.4978 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0311 loss: 1.0311 2022/08/04 10:24:59 - mmengine - INFO - Epoch(train) [110][1160/1879] lr: 1.0000e-03 eta: 1 day, 8:59:32 time: 0.4276 data_time: 0.0152 memory: 17087 grad_norm: 5.5756 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9735 loss: 0.9735 2022/08/04 10:25:08 - mmengine - INFO - Epoch(train) [110][1180/1879] lr: 1.0000e-03 eta: 1 day, 8:59:24 time: 0.4277 data_time: 0.0147 memory: 17087 grad_norm: 5.5855 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1009 loss: 1.1009 2022/08/04 10:25:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 10:25:17 - mmengine - INFO - Epoch(train) [110][1200/1879] lr: 1.0000e-03 eta: 1 day, 8:59:15 time: 0.4391 data_time: 0.0160 memory: 17087 grad_norm: 5.5485 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9442 loss: 0.9442 2022/08/04 10:25:25 - mmengine - INFO - Epoch(train) [110][1220/1879] lr: 1.0000e-03 eta: 1 day, 8:59:06 time: 0.4280 data_time: 0.0156 memory: 17087 grad_norm: 5.5941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9467 loss: 0.9467 2022/08/04 10:25:34 - mmengine - INFO - Epoch(train) [110][1240/1879] lr: 1.0000e-03 eta: 1 day, 8:58:58 time: 0.4291 data_time: 0.0188 memory: 17087 grad_norm: 5.7450 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9122 loss: 0.9122 2022/08/04 10:25:42 - mmengine - INFO - Epoch(train) [110][1260/1879] lr: 1.0000e-03 eta: 1 day, 8:58:49 time: 0.4268 data_time: 0.0149 memory: 17087 grad_norm: 5.5395 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1296 loss: 1.1296 2022/08/04 10:25:51 - mmengine - INFO - Epoch(train) [110][1280/1879] lr: 1.0000e-03 eta: 1 day, 8:58:40 time: 0.4343 data_time: 0.0188 memory: 17087 grad_norm: 5.6368 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2981 loss: 1.2981 2022/08/04 10:26:00 - mmengine - INFO - Epoch(train) [110][1300/1879] lr: 1.0000e-03 eta: 1 day, 8:58:32 time: 0.4407 data_time: 0.0174 memory: 17087 grad_norm: 5.6919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0297 loss: 1.0297 2022/08/04 10:26:08 - mmengine - INFO - Epoch(train) [110][1320/1879] lr: 1.0000e-03 eta: 1 day, 8:58:23 time: 0.4272 data_time: 0.0159 memory: 17087 grad_norm: 5.4620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1052 loss: 1.1052 2022/08/04 10:26:17 - mmengine - INFO - Epoch(train) [110][1340/1879] lr: 1.0000e-03 eta: 1 day, 8:58:15 time: 0.4302 data_time: 0.0150 memory: 17087 grad_norm: 5.3586 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1505 loss: 1.1505 2022/08/04 10:26:26 - mmengine - INFO - Epoch(train) [110][1360/1879] lr: 1.0000e-03 eta: 1 day, 8:58:06 time: 0.4296 data_time: 0.0154 memory: 17087 grad_norm: 5.3931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9358 loss: 0.9358 2022/08/04 10:26:34 - mmengine - INFO - Epoch(train) [110][1380/1879] lr: 1.0000e-03 eta: 1 day, 8:57:57 time: 0.4355 data_time: 0.0153 memory: 17087 grad_norm: 5.4384 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2279 loss: 1.2279 2022/08/04 10:26:43 - mmengine - INFO - Epoch(train) [110][1400/1879] lr: 1.0000e-03 eta: 1 day, 8:57:49 time: 0.4423 data_time: 0.0155 memory: 17087 grad_norm: 5.4482 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0457 loss: 1.0457 2022/08/04 10:26:52 - mmengine - INFO - Epoch(train) [110][1420/1879] lr: 1.0000e-03 eta: 1 day, 8:57:40 time: 0.4317 data_time: 0.0156 memory: 17087 grad_norm: 5.6872 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1603 loss: 1.1603 2022/08/04 10:27:01 - mmengine - INFO - Epoch(train) [110][1440/1879] lr: 1.0000e-03 eta: 1 day, 8:57:32 time: 0.4576 data_time: 0.0165 memory: 17087 grad_norm: 5.5345 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0586 loss: 1.0586 2022/08/04 10:27:10 - mmengine - INFO - Epoch(train) [110][1460/1879] lr: 1.0000e-03 eta: 1 day, 8:57:24 time: 0.4284 data_time: 0.0175 memory: 17087 grad_norm: 5.4831 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9389 loss: 0.9389 2022/08/04 10:27:18 - mmengine - INFO - Epoch(train) [110][1480/1879] lr: 1.0000e-03 eta: 1 day, 8:57:15 time: 0.4289 data_time: 0.0169 memory: 17087 grad_norm: 5.6163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0286 loss: 1.0286 2022/08/04 10:27:27 - mmengine - INFO - Epoch(train) [110][1500/1879] lr: 1.0000e-03 eta: 1 day, 8:57:06 time: 0.4358 data_time: 0.0175 memory: 17087 grad_norm: 5.5831 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0468 loss: 1.0468 2022/08/04 10:27:35 - mmengine - INFO - Epoch(train) [110][1520/1879] lr: 1.0000e-03 eta: 1 day, 8:56:58 time: 0.4256 data_time: 0.0147 memory: 17087 grad_norm: 5.5225 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0560 loss: 1.0560 2022/08/04 10:27:44 - mmengine - INFO - Epoch(train) [110][1540/1879] lr: 1.0000e-03 eta: 1 day, 8:56:49 time: 0.4285 data_time: 0.0159 memory: 17087 grad_norm: 5.7073 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1502 loss: 1.1502 2022/08/04 10:27:53 - mmengine - INFO - Epoch(train) [110][1560/1879] lr: 1.0000e-03 eta: 1 day, 8:56:40 time: 0.4275 data_time: 0.0150 memory: 17087 grad_norm: 5.5944 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0464 loss: 1.0464 2022/08/04 10:28:02 - mmengine - INFO - Epoch(train) [110][1580/1879] lr: 1.0000e-03 eta: 1 day, 8:56:32 time: 0.4514 data_time: 0.0171 memory: 17087 grad_norm: 5.4943 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0681 loss: 1.0681 2022/08/04 10:28:10 - mmengine - INFO - Epoch(train) [110][1600/1879] lr: 1.0000e-03 eta: 1 day, 8:56:23 time: 0.4302 data_time: 0.0163 memory: 17087 grad_norm: 5.6113 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1670 loss: 1.1670 2022/08/04 10:28:19 - mmengine - INFO - Epoch(train) [110][1620/1879] lr: 1.0000e-03 eta: 1 day, 8:56:15 time: 0.4274 data_time: 0.0145 memory: 17087 grad_norm: 5.5355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1698 loss: 1.1698 2022/08/04 10:28:28 - mmengine - INFO - Epoch(train) [110][1640/1879] lr: 1.0000e-03 eta: 1 day, 8:56:07 time: 0.4563 data_time: 0.0174 memory: 17087 grad_norm: 5.5570 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9999 loss: 0.9999 2022/08/04 10:28:37 - mmengine - INFO - Epoch(train) [110][1660/1879] lr: 1.0000e-03 eta: 1 day, 8:55:58 time: 0.4510 data_time: 0.0160 memory: 17087 grad_norm: 5.6879 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0676 loss: 1.0676 2022/08/04 10:28:46 - mmengine - INFO - Epoch(train) [110][1680/1879] lr: 1.0000e-03 eta: 1 day, 8:55:50 time: 0.4283 data_time: 0.0148 memory: 17087 grad_norm: 5.7198 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1539 loss: 1.1539 2022/08/04 10:28:54 - mmengine - INFO - Epoch(train) [110][1700/1879] lr: 1.0000e-03 eta: 1 day, 8:55:41 time: 0.4443 data_time: 0.0224 memory: 17087 grad_norm: 5.5931 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0030 loss: 1.0030 2022/08/04 10:29:03 - mmengine - INFO - Epoch(train) [110][1720/1879] lr: 1.0000e-03 eta: 1 day, 8:55:33 time: 0.4291 data_time: 0.0167 memory: 17087 grad_norm: 5.6515 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1250 loss: 1.1250 2022/08/04 10:29:12 - mmengine - INFO - Epoch(train) [110][1740/1879] lr: 1.0000e-03 eta: 1 day, 8:55:24 time: 0.4290 data_time: 0.0154 memory: 17087 grad_norm: 5.4176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8993 loss: 0.8993 2022/08/04 10:29:20 - mmengine - INFO - Epoch(train) [110][1760/1879] lr: 1.0000e-03 eta: 1 day, 8:55:16 time: 0.4386 data_time: 0.0176 memory: 17087 grad_norm: 5.5113 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9845 loss: 0.9845 2022/08/04 10:29:29 - mmengine - INFO - Epoch(train) [110][1780/1879] lr: 1.0000e-03 eta: 1 day, 8:55:07 time: 0.4239 data_time: 0.0146 memory: 17087 grad_norm: 5.3401 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9448 loss: 0.9448 2022/08/04 10:29:38 - mmengine - INFO - Epoch(train) [110][1800/1879] lr: 1.0000e-03 eta: 1 day, 8:54:58 time: 0.4379 data_time: 0.0159 memory: 17087 grad_norm: 5.5004 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0480 loss: 1.0480 2022/08/04 10:29:46 - mmengine - INFO - Epoch(train) [110][1820/1879] lr: 1.0000e-03 eta: 1 day, 8:54:49 time: 0.4292 data_time: 0.0167 memory: 17087 grad_norm: 5.4427 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9025 loss: 0.9025 2022/08/04 10:29:55 - mmengine - INFO - Epoch(train) [110][1840/1879] lr: 1.0000e-03 eta: 1 day, 8:54:41 time: 0.4346 data_time: 0.0167 memory: 17087 grad_norm: 5.5830 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1400 loss: 1.1400 2022/08/04 10:30:04 - mmengine - INFO - Epoch(train) [110][1860/1879] lr: 1.0000e-03 eta: 1 day, 8:54:32 time: 0.4293 data_time: 0.0159 memory: 17087 grad_norm: 5.7837 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2515 loss: 1.2515 2022/08/04 10:30:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 10:30:11 - mmengine - INFO - Epoch(train) [110][1879/1879] lr: 1.0000e-03 eta: 1 day, 8:54:32 time: 0.4083 data_time: 0.0142 memory: 17087 grad_norm: 5.6525 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9555 loss: 0.9555 2022/08/04 10:30:19 - mmengine - INFO - Epoch(val) [110][20/155] eta: 0:00:52 time: 0.3866 data_time: 0.2164 memory: 2821 2022/08/04 10:30:24 - mmengine - INFO - Epoch(val) [110][40/155] eta: 0:00:28 time: 0.2504 data_time: 0.0812 memory: 2821 2022/08/04 10:30:30 - mmengine - INFO - Epoch(val) [110][60/155] eta: 0:00:28 time: 0.3016 data_time: 0.1311 memory: 2821 2022/08/04 10:30:35 - mmengine - INFO - Epoch(val) [110][80/155] eta: 0:00:19 time: 0.2616 data_time: 0.0952 memory: 2821 2022/08/04 10:30:42 - mmengine - INFO - Epoch(val) [110][100/155] eta: 0:00:17 time: 0.3119 data_time: 0.1421 memory: 2821 2022/08/04 10:30:47 - mmengine - INFO - Epoch(val) [110][120/155] eta: 0:00:09 time: 0.2781 data_time: 0.1124 memory: 2821 2022/08/04 10:30:54 - mmengine - INFO - Epoch(val) [110][140/155] eta: 0:00:04 time: 0.3288 data_time: 0.1622 memory: 2821 2022/08/04 10:30:59 - mmengine - INFO - Epoch(val) [110][155/155] acc/top1: 0.6974 acc/top5: 0.8859 acc/mean1: 0.6972 2022/08/04 10:30:59 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_106.pth is removed 2022/08/04 10:31:02 - mmengine - INFO - The best checkpoint with 0.6974 acc/top1 at 111 epoch is saved to best_acc/top1_epoch_111.pth. 2022/08/04 10:31:13 - mmengine - INFO - Epoch(train) [111][20/1879] lr: 1.0000e-03 eta: 1 day, 8:54:07 time: 0.5198 data_time: 0.1070 memory: 17087 grad_norm: 5.6407 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0598 loss: 1.0598 2022/08/04 10:31:22 - mmengine - INFO - Epoch(train) [111][40/1879] lr: 1.0000e-03 eta: 1 day, 8:53:59 time: 0.4574 data_time: 0.0205 memory: 17087 grad_norm: 5.5799 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0069 loss: 1.0069 2022/08/04 10:31:30 - mmengine - INFO - Epoch(train) [111][60/1879] lr: 1.0000e-03 eta: 1 day, 8:53:50 time: 0.4289 data_time: 0.0178 memory: 17087 grad_norm: 5.4748 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0327 loss: 1.0327 2022/08/04 10:31:39 - mmengine - INFO - Epoch(train) [111][80/1879] lr: 1.0000e-03 eta: 1 day, 8:53:41 time: 0.4289 data_time: 0.0157 memory: 17087 grad_norm: 5.7133 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0919 loss: 1.0919 2022/08/04 10:31:47 - mmengine - INFO - Epoch(train) [111][100/1879] lr: 1.0000e-03 eta: 1 day, 8:53:33 time: 0.4291 data_time: 0.0151 memory: 17087 grad_norm: 5.4533 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0614 loss: 1.0614 2022/08/04 10:31:56 - mmengine - INFO - Epoch(train) [111][120/1879] lr: 1.0000e-03 eta: 1 day, 8:53:24 time: 0.4418 data_time: 0.0171 memory: 17087 grad_norm: 5.6312 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0425 loss: 1.0425 2022/08/04 10:32:05 - mmengine - INFO - Epoch(train) [111][140/1879] lr: 1.0000e-03 eta: 1 day, 8:53:16 time: 0.4476 data_time: 0.0139 memory: 17087 grad_norm: 5.5413 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0062 loss: 1.0062 2022/08/04 10:32:14 - mmengine - INFO - Epoch(train) [111][160/1879] lr: 1.0000e-03 eta: 1 day, 8:53:08 time: 0.4339 data_time: 0.0208 memory: 17087 grad_norm: 5.6977 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9765 loss: 0.9765 2022/08/04 10:32:23 - mmengine - INFO - Epoch(train) [111][180/1879] lr: 1.0000e-03 eta: 1 day, 8:52:59 time: 0.4472 data_time: 0.0171 memory: 17087 grad_norm: 5.5858 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2563 loss: 1.2563 2022/08/04 10:32:32 - mmengine - INFO - Epoch(train) [111][200/1879] lr: 1.0000e-03 eta: 1 day, 8:52:51 time: 0.4339 data_time: 0.0185 memory: 17087 grad_norm: 5.4429 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0742 loss: 1.0742 2022/08/04 10:32:40 - mmengine - INFO - Epoch(train) [111][220/1879] lr: 1.0000e-03 eta: 1 day, 8:52:42 time: 0.4348 data_time: 0.0147 memory: 17087 grad_norm: 5.6718 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0520 loss: 1.0520 2022/08/04 10:32:49 - mmengine - INFO - Epoch(train) [111][240/1879] lr: 1.0000e-03 eta: 1 day, 8:52:33 time: 0.4280 data_time: 0.0154 memory: 17087 grad_norm: 5.6054 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0878 loss: 1.0878 2022/08/04 10:32:58 - mmengine - INFO - Epoch(train) [111][260/1879] lr: 1.0000e-03 eta: 1 day, 8:52:25 time: 0.4401 data_time: 0.0153 memory: 17087 grad_norm: 5.5179 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0612 loss: 1.0612 2022/08/04 10:33:06 - mmengine - INFO - Epoch(train) [111][280/1879] lr: 1.0000e-03 eta: 1 day, 8:52:16 time: 0.4283 data_time: 0.0164 memory: 17087 grad_norm: 5.4840 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2506 loss: 1.2506 2022/08/04 10:33:15 - mmengine - INFO - Epoch(train) [111][300/1879] lr: 1.0000e-03 eta: 1 day, 8:52:08 time: 0.4479 data_time: 0.0171 memory: 17087 grad_norm: 5.3497 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9326 loss: 0.9326 2022/08/04 10:33:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 10:33:24 - mmengine - INFO - Epoch(train) [111][320/1879] lr: 1.0000e-03 eta: 1 day, 8:51:59 time: 0.4316 data_time: 0.0157 memory: 17087 grad_norm: 5.7079 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1028 loss: 1.1028 2022/08/04 10:33:32 - mmengine - INFO - Epoch(train) [111][340/1879] lr: 1.0000e-03 eta: 1 day, 8:51:51 time: 0.4295 data_time: 0.0146 memory: 17087 grad_norm: 5.6279 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9277 loss: 0.9277 2022/08/04 10:33:41 - mmengine - INFO - Epoch(train) [111][360/1879] lr: 1.0000e-03 eta: 1 day, 8:51:43 time: 0.4485 data_time: 0.0190 memory: 17087 grad_norm: 5.7028 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8606 loss: 0.8606 2022/08/04 10:33:50 - mmengine - INFO - Epoch(train) [111][380/1879] lr: 1.0000e-03 eta: 1 day, 8:51:34 time: 0.4264 data_time: 0.0150 memory: 17087 grad_norm: 5.5554 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0685 loss: 1.0685 2022/08/04 10:33:59 - mmengine - INFO - Epoch(train) [111][400/1879] lr: 1.0000e-03 eta: 1 day, 8:51:25 time: 0.4319 data_time: 0.0198 memory: 17087 grad_norm: 5.7074 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0529 loss: 1.0529 2022/08/04 10:34:07 - mmengine - INFO - Epoch(train) [111][420/1879] lr: 1.0000e-03 eta: 1 day, 8:51:16 time: 0.4284 data_time: 0.0154 memory: 17087 grad_norm: 5.8401 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1147 loss: 1.1147 2022/08/04 10:34:16 - mmengine - INFO - Epoch(train) [111][440/1879] lr: 1.0000e-03 eta: 1 day, 8:51:08 time: 0.4316 data_time: 0.0173 memory: 17087 grad_norm: 5.5939 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1569 loss: 1.1569 2022/08/04 10:34:24 - mmengine - INFO - Epoch(train) [111][460/1879] lr: 1.0000e-03 eta: 1 day, 8:50:59 time: 0.4301 data_time: 0.0153 memory: 17087 grad_norm: 5.6247 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0585 loss: 1.0585 2022/08/04 10:34:33 - mmengine - INFO - Epoch(train) [111][480/1879] lr: 1.0000e-03 eta: 1 day, 8:50:50 time: 0.4283 data_time: 0.0157 memory: 17087 grad_norm: 5.5210 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0317 loss: 1.0317 2022/08/04 10:34:42 - mmengine - INFO - Epoch(train) [111][500/1879] lr: 1.0000e-03 eta: 1 day, 8:50:42 time: 0.4475 data_time: 0.0148 memory: 17087 grad_norm: 5.4273 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9203 loss: 0.9203 2022/08/04 10:34:51 - mmengine - INFO - Epoch(train) [111][520/1879] lr: 1.0000e-03 eta: 1 day, 8:50:33 time: 0.4271 data_time: 0.0150 memory: 17087 grad_norm: 5.5479 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9672 loss: 0.9672 2022/08/04 10:34:59 - mmengine - INFO - Epoch(train) [111][540/1879] lr: 1.0000e-03 eta: 1 day, 8:50:25 time: 0.4319 data_time: 0.0192 memory: 17087 grad_norm: 5.5855 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1105 loss: 1.1105 2022/08/04 10:35:08 - mmengine - INFO - Epoch(train) [111][560/1879] lr: 1.0000e-03 eta: 1 day, 8:50:17 time: 0.4626 data_time: 0.0178 memory: 17087 grad_norm: 5.4916 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2397 loss: 1.2397 2022/08/04 10:35:17 - mmengine - INFO - Epoch(train) [111][580/1879] lr: 1.0000e-03 eta: 1 day, 8:50:08 time: 0.4267 data_time: 0.0141 memory: 17087 grad_norm: 5.5902 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9245 loss: 0.9245 2022/08/04 10:35:26 - mmengine - INFO - Epoch(train) [111][600/1879] lr: 1.0000e-03 eta: 1 day, 8:50:00 time: 0.4531 data_time: 0.0215 memory: 17087 grad_norm: 5.5476 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0536 loss: 1.0536 2022/08/04 10:35:35 - mmengine - INFO - Epoch(train) [111][620/1879] lr: 1.0000e-03 eta: 1 day, 8:49:52 time: 0.4485 data_time: 0.0169 memory: 17087 grad_norm: 5.5363 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0311 loss: 1.0311 2022/08/04 10:35:44 - mmengine - INFO - Epoch(train) [111][640/1879] lr: 1.0000e-03 eta: 1 day, 8:49:44 time: 0.4534 data_time: 0.0163 memory: 17087 grad_norm: 5.5818 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1483 loss: 1.1483 2022/08/04 10:35:53 - mmengine - INFO - Epoch(train) [111][660/1879] lr: 1.0000e-03 eta: 1 day, 8:49:35 time: 0.4261 data_time: 0.0127 memory: 17087 grad_norm: 5.4094 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0433 loss: 1.0433 2022/08/04 10:36:02 - mmengine - INFO - Epoch(train) [111][680/1879] lr: 1.0000e-03 eta: 1 day, 8:49:27 time: 0.4661 data_time: 0.0184 memory: 17087 grad_norm: 5.6028 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9507 loss: 0.9507 2022/08/04 10:36:11 - mmengine - INFO - Epoch(train) [111][700/1879] lr: 1.0000e-03 eta: 1 day, 8:49:19 time: 0.4258 data_time: 0.0137 memory: 17087 grad_norm: 5.5881 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0405 loss: 1.0405 2022/08/04 10:36:19 - mmengine - INFO - Epoch(train) [111][720/1879] lr: 1.0000e-03 eta: 1 day, 8:49:10 time: 0.4334 data_time: 0.0199 memory: 17087 grad_norm: 5.6675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0335 loss: 1.0335 2022/08/04 10:36:28 - mmengine - INFO - Epoch(train) [111][740/1879] lr: 1.0000e-03 eta: 1 day, 8:49:01 time: 0.4375 data_time: 0.0167 memory: 17087 grad_norm: 5.6697 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9776 loss: 0.9776 2022/08/04 10:36:37 - mmengine - INFO - Epoch(train) [111][760/1879] lr: 1.0000e-03 eta: 1 day, 8:48:53 time: 0.4288 data_time: 0.0168 memory: 17087 grad_norm: 5.7534 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0331 loss: 1.0331 2022/08/04 10:36:46 - mmengine - INFO - Epoch(train) [111][780/1879] lr: 1.0000e-03 eta: 1 day, 8:48:45 time: 0.4547 data_time: 0.0174 memory: 17087 grad_norm: 5.6721 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2547 loss: 1.2547 2022/08/04 10:36:54 - mmengine - INFO - Epoch(train) [111][800/1879] lr: 1.0000e-03 eta: 1 day, 8:48:36 time: 0.4280 data_time: 0.0149 memory: 17087 grad_norm: 5.6757 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0087 loss: 1.0087 2022/08/04 10:37:03 - mmengine - INFO - Epoch(train) [111][820/1879] lr: 1.0000e-03 eta: 1 day, 8:48:27 time: 0.4291 data_time: 0.0167 memory: 17087 grad_norm: 5.5790 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0600 loss: 1.0600 2022/08/04 10:37:12 - mmengine - INFO - Epoch(train) [111][840/1879] lr: 1.0000e-03 eta: 1 day, 8:48:19 time: 0.4307 data_time: 0.0157 memory: 17087 grad_norm: 5.6133 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1868 loss: 1.1868 2022/08/04 10:37:20 - mmengine - INFO - Epoch(train) [111][860/1879] lr: 1.0000e-03 eta: 1 day, 8:48:10 time: 0.4268 data_time: 0.0153 memory: 17087 grad_norm: 5.6126 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9999 loss: 0.9999 2022/08/04 10:37:29 - mmengine - INFO - Epoch(train) [111][880/1879] lr: 1.0000e-03 eta: 1 day, 8:48:01 time: 0.4275 data_time: 0.0159 memory: 17087 grad_norm: 5.4786 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9329 loss: 0.9329 2022/08/04 10:37:37 - mmengine - INFO - Epoch(train) [111][900/1879] lr: 1.0000e-03 eta: 1 day, 8:47:52 time: 0.4301 data_time: 0.0150 memory: 17087 grad_norm: 5.5434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9696 loss: 0.9696 2022/08/04 10:37:46 - mmengine - INFO - Epoch(train) [111][920/1879] lr: 1.0000e-03 eta: 1 day, 8:47:44 time: 0.4297 data_time: 0.0173 memory: 17087 grad_norm: 5.4972 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0397 loss: 1.0397 2022/08/04 10:37:54 - mmengine - INFO - Epoch(train) [111][940/1879] lr: 1.0000e-03 eta: 1 day, 8:47:35 time: 0.4296 data_time: 0.0167 memory: 17087 grad_norm: 5.7603 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9930 loss: 0.9930 2022/08/04 10:38:03 - mmengine - INFO - Epoch(train) [111][960/1879] lr: 1.0000e-03 eta: 1 day, 8:47:27 time: 0.4493 data_time: 0.0187 memory: 17087 grad_norm: 5.5801 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0292 loss: 1.0292 2022/08/04 10:38:12 - mmengine - INFO - Epoch(train) [111][980/1879] lr: 1.0000e-03 eta: 1 day, 8:47:18 time: 0.4317 data_time: 0.0189 memory: 17087 grad_norm: 5.5070 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8836 loss: 0.8836 2022/08/04 10:38:21 - mmengine - INFO - Epoch(train) [111][1000/1879] lr: 1.0000e-03 eta: 1 day, 8:47:10 time: 0.4519 data_time: 0.0179 memory: 17087 grad_norm: 5.5216 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1808 loss: 1.1808 2022/08/04 10:38:30 - mmengine - INFO - Epoch(train) [111][1020/1879] lr: 1.0000e-03 eta: 1 day, 8:47:01 time: 0.4262 data_time: 0.0141 memory: 17087 grad_norm: 5.8525 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1678 loss: 1.1678 2022/08/04 10:38:38 - mmengine - INFO - Epoch(train) [111][1040/1879] lr: 1.0000e-03 eta: 1 day, 8:46:53 time: 0.4333 data_time: 0.0198 memory: 17087 grad_norm: 5.6046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1245 loss: 1.1245 2022/08/04 10:38:47 - mmengine - INFO - Epoch(train) [111][1060/1879] lr: 1.0000e-03 eta: 1 day, 8:46:44 time: 0.4463 data_time: 0.0138 memory: 17087 grad_norm: 5.6862 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0210 loss: 1.0210 2022/08/04 10:38:56 - mmengine - INFO - Epoch(train) [111][1080/1879] lr: 1.0000e-03 eta: 1 day, 8:46:36 time: 0.4341 data_time: 0.0165 memory: 17087 grad_norm: 5.6617 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9382 loss: 0.9382 2022/08/04 10:39:05 - mmengine - INFO - Epoch(train) [111][1100/1879] lr: 1.0000e-03 eta: 1 day, 8:46:28 time: 0.4575 data_time: 0.0164 memory: 17087 grad_norm: 5.5790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9442 loss: 0.9442 2022/08/04 10:39:14 - mmengine - INFO - Epoch(train) [111][1120/1879] lr: 1.0000e-03 eta: 1 day, 8:46:19 time: 0.4280 data_time: 0.0162 memory: 17087 grad_norm: 5.5753 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9379 loss: 0.9379 2022/08/04 10:39:22 - mmengine - INFO - Epoch(train) [111][1140/1879] lr: 1.0000e-03 eta: 1 day, 8:46:11 time: 0.4350 data_time: 0.0197 memory: 17087 grad_norm: 5.6402 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2536 loss: 1.2536 2022/08/04 10:39:31 - mmengine - INFO - Epoch(train) [111][1160/1879] lr: 1.0000e-03 eta: 1 day, 8:46:02 time: 0.4296 data_time: 0.0157 memory: 17087 grad_norm: 5.6236 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9525 loss: 0.9525 2022/08/04 10:39:40 - mmengine - INFO - Epoch(train) [111][1180/1879] lr: 1.0000e-03 eta: 1 day, 8:45:53 time: 0.4269 data_time: 0.0153 memory: 17087 grad_norm: 5.6156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0539 loss: 1.0539 2022/08/04 10:39:49 - mmengine - INFO - Epoch(train) [111][1200/1879] lr: 1.0000e-03 eta: 1 day, 8:45:45 time: 0.4511 data_time: 0.0163 memory: 17087 grad_norm: 5.6395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2170 loss: 1.2170 2022/08/04 10:39:57 - mmengine - INFO - Epoch(train) [111][1220/1879] lr: 1.0000e-03 eta: 1 day, 8:45:36 time: 0.4326 data_time: 0.0163 memory: 17087 grad_norm: 5.5374 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0648 loss: 1.0648 2022/08/04 10:40:06 - mmengine - INFO - Epoch(train) [111][1240/1879] lr: 1.0000e-03 eta: 1 day, 8:45:28 time: 0.4342 data_time: 0.0175 memory: 17087 grad_norm: 5.6300 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1338 loss: 1.1338 2022/08/04 10:40:15 - mmengine - INFO - Epoch(train) [111][1260/1879] lr: 1.0000e-03 eta: 1 day, 8:45:19 time: 0.4368 data_time: 0.0173 memory: 17087 grad_norm: 5.6223 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0615 loss: 1.0615 2022/08/04 10:40:23 - mmengine - INFO - Epoch(train) [111][1280/1879] lr: 1.0000e-03 eta: 1 day, 8:45:11 time: 0.4287 data_time: 0.0162 memory: 17087 grad_norm: 5.6886 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8729 loss: 0.8729 2022/08/04 10:40:32 - mmengine - INFO - Epoch(train) [111][1300/1879] lr: 1.0000e-03 eta: 1 day, 8:45:02 time: 0.4326 data_time: 0.0156 memory: 17087 grad_norm: 5.5960 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2205 loss: 1.2205 2022/08/04 10:40:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 10:40:41 - mmengine - INFO - Epoch(train) [111][1320/1879] lr: 1.0000e-03 eta: 1 day, 8:44:53 time: 0.4269 data_time: 0.0160 memory: 17087 grad_norm: 5.5871 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9753 loss: 0.9753 2022/08/04 10:40:49 - mmengine - INFO - Epoch(train) [111][1340/1879] lr: 1.0000e-03 eta: 1 day, 8:44:44 time: 0.4279 data_time: 0.0151 memory: 17087 grad_norm: 5.7424 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1224 loss: 1.1224 2022/08/04 10:40:58 - mmengine - INFO - Epoch(train) [111][1360/1879] lr: 1.0000e-03 eta: 1 day, 8:44:36 time: 0.4466 data_time: 0.0179 memory: 17087 grad_norm: 5.5869 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0922 loss: 1.0922 2022/08/04 10:41:07 - mmengine - INFO - Epoch(train) [111][1380/1879] lr: 1.0000e-03 eta: 1 day, 8:44:28 time: 0.4280 data_time: 0.0161 memory: 17087 grad_norm: 5.6410 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0477 loss: 1.0477 2022/08/04 10:41:15 - mmengine - INFO - Epoch(train) [111][1400/1879] lr: 1.0000e-03 eta: 1 day, 8:44:19 time: 0.4379 data_time: 0.0159 memory: 17087 grad_norm: 5.4946 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8856 loss: 0.8856 2022/08/04 10:41:24 - mmengine - INFO - Epoch(train) [111][1420/1879] lr: 1.0000e-03 eta: 1 day, 8:44:10 time: 0.4287 data_time: 0.0151 memory: 17087 grad_norm: 5.5702 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1610 loss: 1.1610 2022/08/04 10:41:33 - mmengine - INFO - Epoch(train) [111][1440/1879] lr: 1.0000e-03 eta: 1 day, 8:44:02 time: 0.4408 data_time: 0.0160 memory: 17087 grad_norm: 5.7159 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0206 loss: 1.0206 2022/08/04 10:41:42 - mmengine - INFO - Epoch(train) [111][1460/1879] lr: 1.0000e-03 eta: 1 day, 8:43:53 time: 0.4388 data_time: 0.0179 memory: 17087 grad_norm: 5.5983 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1600 loss: 1.1600 2022/08/04 10:41:50 - mmengine - INFO - Epoch(train) [111][1480/1879] lr: 1.0000e-03 eta: 1 day, 8:43:45 time: 0.4281 data_time: 0.0151 memory: 17087 grad_norm: 5.6204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0157 loss: 1.0157 2022/08/04 10:41:59 - mmengine - INFO - Epoch(train) [111][1500/1879] lr: 1.0000e-03 eta: 1 day, 8:43:36 time: 0.4271 data_time: 0.0168 memory: 17087 grad_norm: 5.8997 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1807 loss: 1.1807 2022/08/04 10:42:08 - mmengine - INFO - Epoch(train) [111][1520/1879] lr: 1.0000e-03 eta: 1 day, 8:43:28 time: 0.4667 data_time: 0.0173 memory: 17087 grad_norm: 5.4654 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1916 loss: 1.1916 2022/08/04 10:42:17 - mmengine - INFO - Epoch(train) [111][1540/1879] lr: 1.0000e-03 eta: 1 day, 8:43:19 time: 0.4281 data_time: 0.0144 memory: 17087 grad_norm: 5.5188 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8841 loss: 0.8841 2022/08/04 10:42:26 - mmengine - INFO - Epoch(train) [111][1560/1879] lr: 1.0000e-03 eta: 1 day, 8:43:11 time: 0.4508 data_time: 0.0182 memory: 17087 grad_norm: 5.7292 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0677 loss: 1.0677 2022/08/04 10:42:34 - mmengine - INFO - Epoch(train) [111][1580/1879] lr: 1.0000e-03 eta: 1 day, 8:43:03 time: 0.4270 data_time: 0.0167 memory: 17087 grad_norm: 5.5401 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0572 loss: 1.0572 2022/08/04 10:42:43 - mmengine - INFO - Epoch(train) [111][1600/1879] lr: 1.0000e-03 eta: 1 day, 8:42:54 time: 0.4523 data_time: 0.0166 memory: 17087 grad_norm: 5.4648 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0367 loss: 1.0367 2022/08/04 10:42:52 - mmengine - INFO - Epoch(train) [111][1620/1879] lr: 1.0000e-03 eta: 1 day, 8:42:46 time: 0.4272 data_time: 0.0151 memory: 17087 grad_norm: 5.7413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.2169 loss: 1.2169 2022/08/04 10:43:00 - mmengine - INFO - Epoch(train) [111][1640/1879] lr: 1.0000e-03 eta: 1 day, 8:42:37 time: 0.4316 data_time: 0.0203 memory: 17087 grad_norm: 5.5349 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1612 loss: 1.1612 2022/08/04 10:43:10 - mmengine - INFO - Epoch(train) [111][1660/1879] lr: 1.0000e-03 eta: 1 day, 8:42:29 time: 0.4530 data_time: 0.0153 memory: 17087 grad_norm: 5.3563 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9197 loss: 0.9197 2022/08/04 10:43:18 - mmengine - INFO - Epoch(train) [111][1680/1879] lr: 1.0000e-03 eta: 1 day, 8:42:20 time: 0.4306 data_time: 0.0154 memory: 17087 grad_norm: 5.5293 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1924 loss: 1.1924 2022/08/04 10:43:27 - mmengine - INFO - Epoch(train) [111][1700/1879] lr: 1.0000e-03 eta: 1 day, 8:42:12 time: 0.4528 data_time: 0.0151 memory: 17087 grad_norm: 5.7286 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0701 loss: 1.0701 2022/08/04 10:43:36 - mmengine - INFO - Epoch(train) [111][1720/1879] lr: 1.0000e-03 eta: 1 day, 8:42:04 time: 0.4302 data_time: 0.0149 memory: 17087 grad_norm: 5.8317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0336 loss: 1.0336 2022/08/04 10:43:45 - mmengine - INFO - Epoch(train) [111][1740/1879] lr: 1.0000e-03 eta: 1 day, 8:41:56 time: 0.4588 data_time: 0.0228 memory: 17087 grad_norm: 5.6500 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.2405 loss: 1.2405 2022/08/04 10:43:54 - mmengine - INFO - Epoch(train) [111][1760/1879] lr: 1.0000e-03 eta: 1 day, 8:41:47 time: 0.4266 data_time: 0.0147 memory: 17087 grad_norm: 5.6798 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9845 loss: 0.9845 2022/08/04 10:44:02 - mmengine - INFO - Epoch(train) [111][1780/1879] lr: 1.0000e-03 eta: 1 day, 8:41:38 time: 0.4302 data_time: 0.0165 memory: 17087 grad_norm: 5.5050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9945 loss: 0.9945 2022/08/04 10:44:11 - mmengine - INFO - Epoch(train) [111][1800/1879] lr: 1.0000e-03 eta: 1 day, 8:41:29 time: 0.4264 data_time: 0.0153 memory: 17087 grad_norm: 5.7778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1499 loss: 1.1499 2022/08/04 10:44:19 - mmengine - INFO - Epoch(train) [111][1820/1879] lr: 1.0000e-03 eta: 1 day, 8:41:21 time: 0.4276 data_time: 0.0145 memory: 17087 grad_norm: 5.6409 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1824 loss: 1.1824 2022/08/04 10:44:28 - mmengine - INFO - Epoch(train) [111][1840/1879] lr: 1.0000e-03 eta: 1 day, 8:41:13 time: 0.4569 data_time: 0.0166 memory: 17087 grad_norm: 5.7342 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0979 loss: 1.0979 2022/08/04 10:44:37 - mmengine - INFO - Epoch(train) [111][1860/1879] lr: 1.0000e-03 eta: 1 day, 8:41:04 time: 0.4278 data_time: 0.0168 memory: 17087 grad_norm: 5.5532 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0354 loss: 1.0354 2022/08/04 10:44:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 10:44:46 - mmengine - INFO - Epoch(train) [111][1879/1879] lr: 1.0000e-03 eta: 1 day, 8:41:04 time: 0.4436 data_time: 0.0162 memory: 17087 grad_norm: 5.6689 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1490 loss: 1.1490 2022/08/04 10:44:57 - mmengine - INFO - Epoch(train) [112][20/1879] lr: 1.0000e-03 eta: 1 day, 8:40:40 time: 0.5702 data_time: 0.1491 memory: 17087 grad_norm: 5.5418 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0710 loss: 1.0710 2022/08/04 10:45:06 - mmengine - INFO - Epoch(train) [112][40/1879] lr: 1.0000e-03 eta: 1 day, 8:40:32 time: 0.4538 data_time: 0.0197 memory: 17087 grad_norm: 5.6954 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.2396 loss: 1.2396 2022/08/04 10:45:15 - mmengine - INFO - Epoch(train) [112][60/1879] lr: 1.0000e-03 eta: 1 day, 8:40:23 time: 0.4278 data_time: 0.0131 memory: 17087 grad_norm: 5.7533 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1277 loss: 1.1277 2022/08/04 10:45:24 - mmengine - INFO - Epoch(train) [112][80/1879] lr: 1.0000e-03 eta: 1 day, 8:40:15 time: 0.4590 data_time: 0.0219 memory: 17087 grad_norm: 5.4873 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2202 loss: 1.2202 2022/08/04 10:45:32 - mmengine - INFO - Epoch(train) [112][100/1879] lr: 1.0000e-03 eta: 1 day, 8:40:06 time: 0.4264 data_time: 0.0144 memory: 17087 grad_norm: 5.5381 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9560 loss: 0.9560 2022/08/04 10:45:41 - mmengine - INFO - Epoch(train) [112][120/1879] lr: 1.0000e-03 eta: 1 day, 8:39:58 time: 0.4357 data_time: 0.0208 memory: 17087 grad_norm: 5.6618 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2410 loss: 1.2410 2022/08/04 10:45:50 - mmengine - INFO - Epoch(train) [112][140/1879] lr: 1.0000e-03 eta: 1 day, 8:39:50 time: 0.4506 data_time: 0.0135 memory: 17087 grad_norm: 5.5647 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0734 loss: 1.0734 2022/08/04 10:45:59 - mmengine - INFO - Epoch(train) [112][160/1879] lr: 1.0000e-03 eta: 1 day, 8:39:41 time: 0.4278 data_time: 0.0147 memory: 17087 grad_norm: 5.5712 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0479 loss: 1.0479 2022/08/04 10:46:08 - mmengine - INFO - Epoch(train) [112][180/1879] lr: 1.0000e-03 eta: 1 day, 8:39:33 time: 0.4543 data_time: 0.0193 memory: 17087 grad_norm: 5.5848 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9305 loss: 0.9305 2022/08/04 10:46:16 - mmengine - INFO - Epoch(train) [112][200/1879] lr: 1.0000e-03 eta: 1 day, 8:39:24 time: 0.4297 data_time: 0.0171 memory: 17087 grad_norm: 5.5456 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0294 loss: 1.0294 2022/08/04 10:46:25 - mmengine - INFO - Epoch(train) [112][220/1879] lr: 1.0000e-03 eta: 1 day, 8:39:16 time: 0.4358 data_time: 0.0166 memory: 17087 grad_norm: 5.5256 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0280 loss: 1.0280 2022/08/04 10:46:34 - mmengine - INFO - Epoch(train) [112][240/1879] lr: 1.0000e-03 eta: 1 day, 8:39:07 time: 0.4268 data_time: 0.0153 memory: 17087 grad_norm: 5.5825 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9719 loss: 0.9719 2022/08/04 10:46:42 - mmengine - INFO - Epoch(train) [112][260/1879] lr: 1.0000e-03 eta: 1 day, 8:38:58 time: 0.4328 data_time: 0.0164 memory: 17087 grad_norm: 5.7376 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0842 loss: 1.0842 2022/08/04 10:46:51 - mmengine - INFO - Epoch(train) [112][280/1879] lr: 1.0000e-03 eta: 1 day, 8:38:50 time: 0.4302 data_time: 0.0170 memory: 17087 grad_norm: 5.7729 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0610 loss: 1.0610 2022/08/04 10:47:00 - mmengine - INFO - Epoch(train) [112][300/1879] lr: 1.0000e-03 eta: 1 day, 8:38:41 time: 0.4257 data_time: 0.0151 memory: 17087 grad_norm: 5.5154 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0444 loss: 1.0444 2022/08/04 10:47:09 - mmengine - INFO - Epoch(train) [112][320/1879] lr: 1.0000e-03 eta: 1 day, 8:38:33 time: 0.4573 data_time: 0.0224 memory: 17087 grad_norm: 5.5850 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1025 loss: 1.1025 2022/08/04 10:47:17 - mmengine - INFO - Epoch(train) [112][340/1879] lr: 1.0000e-03 eta: 1 day, 8:38:24 time: 0.4270 data_time: 0.0130 memory: 17087 grad_norm: 5.6979 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2052 loss: 1.2052 2022/08/04 10:47:26 - mmengine - INFO - Epoch(train) [112][360/1879] lr: 1.0000e-03 eta: 1 day, 8:38:16 time: 0.4354 data_time: 0.0208 memory: 17087 grad_norm: 5.7932 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2228 loss: 1.2228 2022/08/04 10:47:35 - mmengine - INFO - Epoch(train) [112][380/1879] lr: 1.0000e-03 eta: 1 day, 8:38:07 time: 0.4328 data_time: 0.0152 memory: 17087 grad_norm: 5.4451 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8707 loss: 0.8707 2022/08/04 10:47:43 - mmengine - INFO - Epoch(train) [112][400/1879] lr: 1.0000e-03 eta: 1 day, 8:37:58 time: 0.4267 data_time: 0.0158 memory: 17087 grad_norm: 5.4282 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0390 loss: 1.0390 2022/08/04 10:47:52 - mmengine - INFO - Epoch(train) [112][420/1879] lr: 1.0000e-03 eta: 1 day, 8:37:50 time: 0.4585 data_time: 0.0153 memory: 17087 grad_norm: 5.5041 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0240 loss: 1.0240 2022/08/04 10:47:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 10:48:01 - mmengine - INFO - Epoch(train) [112][440/1879] lr: 1.0000e-03 eta: 1 day, 8:37:42 time: 0.4286 data_time: 0.0171 memory: 17087 grad_norm: 5.5283 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0192 loss: 1.0192 2022/08/04 10:48:09 - mmengine - INFO - Epoch(train) [112][460/1879] lr: 1.0000e-03 eta: 1 day, 8:37:33 time: 0.4269 data_time: 0.0132 memory: 17087 grad_norm: 5.5183 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0042 loss: 1.0042 2022/08/04 10:48:19 - mmengine - INFO - Epoch(train) [112][480/1879] lr: 1.0000e-03 eta: 1 day, 8:37:25 time: 0.4667 data_time: 0.0188 memory: 17087 grad_norm: 5.6322 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0797 loss: 1.0797 2022/08/04 10:48:27 - mmengine - INFO - Epoch(train) [112][500/1879] lr: 1.0000e-03 eta: 1 day, 8:37:16 time: 0.4289 data_time: 0.0158 memory: 17087 grad_norm: 5.6706 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0004 loss: 1.0004 2022/08/04 10:48:37 - mmengine - INFO - Epoch(train) [112][520/1879] lr: 1.0000e-03 eta: 1 day, 8:37:08 time: 0.4569 data_time: 0.0173 memory: 17087 grad_norm: 5.6584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2087 loss: 1.2087 2022/08/04 10:48:45 - mmengine - INFO - Epoch(train) [112][540/1879] lr: 1.0000e-03 eta: 1 day, 8:37:00 time: 0.4280 data_time: 0.0146 memory: 17087 grad_norm: 5.5694 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0037 loss: 1.0037 2022/08/04 10:48:54 - mmengine - INFO - Epoch(train) [112][560/1879] lr: 1.0000e-03 eta: 1 day, 8:36:51 time: 0.4387 data_time: 0.0185 memory: 17087 grad_norm: 5.6089 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/08/04 10:49:02 - mmengine - INFO - Epoch(train) [112][580/1879] lr: 1.0000e-03 eta: 1 day, 8:36:42 time: 0.4268 data_time: 0.0160 memory: 17087 grad_norm: 5.6983 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1821 loss: 1.1821 2022/08/04 10:49:11 - mmengine - INFO - Epoch(train) [112][600/1879] lr: 1.0000e-03 eta: 1 day, 8:36:34 time: 0.4322 data_time: 0.0182 memory: 17087 grad_norm: 5.7394 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1666 loss: 1.1666 2022/08/04 10:49:20 - mmengine - INFO - Epoch(train) [112][620/1879] lr: 1.0000e-03 eta: 1 day, 8:36:25 time: 0.4280 data_time: 0.0147 memory: 17087 grad_norm: 5.5791 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9762 loss: 0.9762 2022/08/04 10:49:28 - mmengine - INFO - Epoch(train) [112][640/1879] lr: 1.0000e-03 eta: 1 day, 8:36:16 time: 0.4306 data_time: 0.0209 memory: 17087 grad_norm: 5.7085 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8280 loss: 0.8280 2022/08/04 10:49:37 - mmengine - INFO - Epoch(train) [112][660/1879] lr: 1.0000e-03 eta: 1 day, 8:36:08 time: 0.4276 data_time: 0.0134 memory: 17087 grad_norm: 5.5324 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1595 loss: 1.1595 2022/08/04 10:49:46 - mmengine - INFO - Epoch(train) [112][680/1879] lr: 1.0000e-03 eta: 1 day, 8:35:59 time: 0.4303 data_time: 0.0181 memory: 17087 grad_norm: 5.5988 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8752 loss: 0.8752 2022/08/04 10:49:54 - mmengine - INFO - Epoch(train) [112][700/1879] lr: 1.0000e-03 eta: 1 day, 8:35:50 time: 0.4293 data_time: 0.0142 memory: 17087 grad_norm: 5.6395 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0578 loss: 1.0578 2022/08/04 10:50:03 - mmengine - INFO - Epoch(train) [112][720/1879] lr: 1.0000e-03 eta: 1 day, 8:35:42 time: 0.4496 data_time: 0.0171 memory: 17087 grad_norm: 5.4642 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0904 loss: 1.0904 2022/08/04 10:50:12 - mmengine - INFO - Epoch(train) [112][740/1879] lr: 1.0000e-03 eta: 1 day, 8:35:33 time: 0.4257 data_time: 0.0119 memory: 17087 grad_norm: 5.4725 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0905 loss: 1.0905 2022/08/04 10:50:20 - mmengine - INFO - Epoch(train) [112][760/1879] lr: 1.0000e-03 eta: 1 day, 8:35:25 time: 0.4265 data_time: 0.0164 memory: 17087 grad_norm: 5.5398 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9765 loss: 0.9765 2022/08/04 10:50:29 - mmengine - INFO - Epoch(train) [112][780/1879] lr: 1.0000e-03 eta: 1 day, 8:35:16 time: 0.4516 data_time: 0.0144 memory: 17087 grad_norm: 5.5558 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0564 loss: 1.0564 2022/08/04 10:50:38 - mmengine - INFO - Epoch(train) [112][800/1879] lr: 1.0000e-03 eta: 1 day, 8:35:08 time: 0.4290 data_time: 0.0173 memory: 17087 grad_norm: 5.5842 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1122 loss: 1.1122 2022/08/04 10:50:47 - mmengine - INFO - Epoch(train) [112][820/1879] lr: 1.0000e-03 eta: 1 day, 8:35:00 time: 0.4532 data_time: 0.0144 memory: 17087 grad_norm: 5.4810 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8941 loss: 0.8941 2022/08/04 10:50:55 - mmengine - INFO - Epoch(train) [112][840/1879] lr: 1.0000e-03 eta: 1 day, 8:34:51 time: 0.4283 data_time: 0.0160 memory: 17087 grad_norm: 5.7506 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9872 loss: 0.9872 2022/08/04 10:51:05 - mmengine - INFO - Epoch(train) [112][860/1879] lr: 1.0000e-03 eta: 1 day, 8:34:43 time: 0.4537 data_time: 0.0175 memory: 17087 grad_norm: 5.6879 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1184 loss: 1.1184 2022/08/04 10:51:13 - mmengine - INFO - Epoch(train) [112][880/1879] lr: 1.0000e-03 eta: 1 day, 8:34:34 time: 0.4279 data_time: 0.0182 memory: 17087 grad_norm: 5.4262 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0072 loss: 1.0072 2022/08/04 10:51:22 - mmengine - INFO - Epoch(train) [112][900/1879] lr: 1.0000e-03 eta: 1 day, 8:34:26 time: 0.4344 data_time: 0.0147 memory: 17087 grad_norm: 5.7976 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9962 loss: 0.9962 2022/08/04 10:51:30 - mmengine - INFO - Epoch(train) [112][920/1879] lr: 1.0000e-03 eta: 1 day, 8:34:17 time: 0.4299 data_time: 0.0165 memory: 17087 grad_norm: 5.3998 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9942 loss: 0.9942 2022/08/04 10:51:39 - mmengine - INFO - Epoch(train) [112][940/1879] lr: 1.0000e-03 eta: 1 day, 8:34:08 time: 0.4258 data_time: 0.0140 memory: 17087 grad_norm: 5.8121 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0777 loss: 1.0777 2022/08/04 10:51:48 - mmengine - INFO - Epoch(train) [112][960/1879] lr: 1.0000e-03 eta: 1 day, 8:34:00 time: 0.4701 data_time: 0.0176 memory: 17087 grad_norm: 5.5326 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0688 loss: 1.0688 2022/08/04 10:51:57 - mmengine - INFO - Epoch(train) [112][980/1879] lr: 1.0000e-03 eta: 1 day, 8:33:52 time: 0.4258 data_time: 0.0151 memory: 17087 grad_norm: 5.6535 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9392 loss: 0.9392 2022/08/04 10:52:06 - mmengine - INFO - Epoch(train) [112][1000/1879] lr: 1.0000e-03 eta: 1 day, 8:33:43 time: 0.4483 data_time: 0.0156 memory: 17087 grad_norm: 5.5228 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0294 loss: 1.0294 2022/08/04 10:52:14 - mmengine - INFO - Epoch(train) [112][1020/1879] lr: 1.0000e-03 eta: 1 day, 8:33:35 time: 0.4288 data_time: 0.0163 memory: 17087 grad_norm: 5.8093 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1605 loss: 1.1605 2022/08/04 10:52:23 - mmengine - INFO - Epoch(train) [112][1040/1879] lr: 1.0000e-03 eta: 1 day, 8:33:26 time: 0.4390 data_time: 0.0193 memory: 17087 grad_norm: 5.7751 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0407 loss: 1.0407 2022/08/04 10:52:32 - mmengine - INFO - Epoch(train) [112][1060/1879] lr: 1.0000e-03 eta: 1 day, 8:33:18 time: 0.4303 data_time: 0.0144 memory: 17087 grad_norm: 5.4337 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0854 loss: 1.0854 2022/08/04 10:52:40 - mmengine - INFO - Epoch(train) [112][1080/1879] lr: 1.0000e-03 eta: 1 day, 8:33:09 time: 0.4275 data_time: 0.0157 memory: 17087 grad_norm: 5.6420 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0442 loss: 1.0442 2022/08/04 10:52:49 - mmengine - INFO - Epoch(train) [112][1100/1879] lr: 1.0000e-03 eta: 1 day, 8:33:01 time: 0.4462 data_time: 0.0162 memory: 17087 grad_norm: 5.7927 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2951 loss: 1.2951 2022/08/04 10:52:58 - mmengine - INFO - Epoch(train) [112][1120/1879] lr: 1.0000e-03 eta: 1 day, 8:32:52 time: 0.4293 data_time: 0.0184 memory: 17087 grad_norm: 5.6312 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0574 loss: 1.0574 2022/08/04 10:53:07 - mmengine - INFO - Epoch(train) [112][1140/1879] lr: 1.0000e-03 eta: 1 day, 8:32:44 time: 0.4491 data_time: 0.0168 memory: 17087 grad_norm: 5.6377 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0019 loss: 1.0019 2022/08/04 10:53:16 - mmengine - INFO - Epoch(train) [112][1160/1879] lr: 1.0000e-03 eta: 1 day, 8:32:35 time: 0.4284 data_time: 0.0160 memory: 17087 grad_norm: 5.6321 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1081 loss: 1.1081 2022/08/04 10:53:24 - mmengine - INFO - Epoch(train) [112][1180/1879] lr: 1.0000e-03 eta: 1 day, 8:32:26 time: 0.4371 data_time: 0.0158 memory: 17087 grad_norm: 5.5411 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0661 loss: 1.0661 2022/08/04 10:53:33 - mmengine - INFO - Epoch(train) [112][1200/1879] lr: 1.0000e-03 eta: 1 day, 8:32:18 time: 0.4288 data_time: 0.0156 memory: 17087 grad_norm: 5.8743 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1775 loss: 1.1775 2022/08/04 10:53:41 - mmengine - INFO - Epoch(train) [112][1220/1879] lr: 1.0000e-03 eta: 1 day, 8:32:09 time: 0.4273 data_time: 0.0144 memory: 17087 grad_norm: 5.7948 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0152 loss: 1.0152 2022/08/04 10:53:50 - mmengine - INFO - Epoch(train) [112][1240/1879] lr: 1.0000e-03 eta: 1 day, 8:32:00 time: 0.4352 data_time: 0.0185 memory: 17087 grad_norm: 5.7022 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1259 loss: 1.1259 2022/08/04 10:53:59 - mmengine - INFO - Epoch(train) [112][1260/1879] lr: 1.0000e-03 eta: 1 day, 8:31:52 time: 0.4274 data_time: 0.0152 memory: 17087 grad_norm: 5.6275 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0009 loss: 1.0009 2022/08/04 10:54:08 - mmengine - INFO - Epoch(train) [112][1280/1879] lr: 1.0000e-03 eta: 1 day, 8:31:43 time: 0.4496 data_time: 0.0171 memory: 17087 grad_norm: 5.5713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0508 loss: 1.0508 2022/08/04 10:54:16 - mmengine - INFO - Epoch(train) [112][1300/1879] lr: 1.0000e-03 eta: 1 day, 8:31:35 time: 0.4277 data_time: 0.0155 memory: 17087 grad_norm: 5.8204 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0531 loss: 1.0531 2022/08/04 10:54:25 - mmengine - INFO - Epoch(train) [112][1320/1879] lr: 1.0000e-03 eta: 1 day, 8:31:26 time: 0.4334 data_time: 0.0181 memory: 17087 grad_norm: 5.6422 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9294 loss: 0.9294 2022/08/04 10:54:34 - mmengine - INFO - Epoch(train) [112][1340/1879] lr: 1.0000e-03 eta: 1 day, 8:31:17 time: 0.4257 data_time: 0.0144 memory: 17087 grad_norm: 5.8574 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2661 loss: 1.2661 2022/08/04 10:54:43 - mmengine - INFO - Epoch(train) [112][1360/1879] lr: 1.0000e-03 eta: 1 day, 8:31:10 time: 0.4630 data_time: 0.0154 memory: 17087 grad_norm: 5.6970 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9431 loss: 0.9431 2022/08/04 10:54:51 - mmengine - INFO - Epoch(train) [112][1380/1879] lr: 1.0000e-03 eta: 1 day, 8:31:01 time: 0.4309 data_time: 0.0149 memory: 17087 grad_norm: 5.5669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9994 loss: 0.9994 2022/08/04 10:55:00 - mmengine - INFO - Epoch(train) [112][1400/1879] lr: 1.0000e-03 eta: 1 day, 8:30:52 time: 0.4278 data_time: 0.0169 memory: 17087 grad_norm: 5.6642 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0824 loss: 1.0824 2022/08/04 10:55:09 - mmengine - INFO - Epoch(train) [112][1420/1879] lr: 1.0000e-03 eta: 1 day, 8:30:44 time: 0.4405 data_time: 0.0162 memory: 17087 grad_norm: 5.5393 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1890 loss: 1.1890 2022/08/04 10:55:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 10:55:18 - mmengine - INFO - Epoch(train) [112][1440/1879] lr: 1.0000e-03 eta: 1 day, 8:30:35 time: 0.4328 data_time: 0.0154 memory: 17087 grad_norm: 5.7854 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1462 loss: 1.1462 2022/08/04 10:55:27 - mmengine - INFO - Epoch(train) [112][1460/1879] lr: 1.0000e-03 eta: 1 day, 8:30:27 time: 0.4490 data_time: 0.0163 memory: 17087 grad_norm: 5.4997 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0532 loss: 1.0532 2022/08/04 10:55:35 - mmengine - INFO - Epoch(train) [112][1480/1879] lr: 1.0000e-03 eta: 1 day, 8:30:18 time: 0.4289 data_time: 0.0170 memory: 17087 grad_norm: 5.7277 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9981 loss: 0.9981 2022/08/04 10:55:44 - mmengine - INFO - Epoch(train) [112][1500/1879] lr: 1.0000e-03 eta: 1 day, 8:30:10 time: 0.4434 data_time: 0.0155 memory: 17087 grad_norm: 5.6586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8526 loss: 0.8526 2022/08/04 10:55:53 - mmengine - INFO - Epoch(train) [112][1520/1879] lr: 1.0000e-03 eta: 1 day, 8:30:01 time: 0.4301 data_time: 0.0186 memory: 17087 grad_norm: 5.6782 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1049 loss: 1.1049 2022/08/04 10:56:01 - mmengine - INFO - Epoch(train) [112][1540/1879] lr: 1.0000e-03 eta: 1 day, 8:29:53 time: 0.4348 data_time: 0.0159 memory: 17087 grad_norm: 5.6194 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0664 loss: 1.0664 2022/08/04 10:56:10 - mmengine - INFO - Epoch(train) [112][1560/1879] lr: 1.0000e-03 eta: 1 day, 8:29:44 time: 0.4282 data_time: 0.0157 memory: 17087 grad_norm: 5.6825 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9594 loss: 0.9594 2022/08/04 10:56:19 - mmengine - INFO - Epoch(train) [112][1580/1879] lr: 1.0000e-03 eta: 1 day, 8:29:35 time: 0.4314 data_time: 0.0169 memory: 17087 grad_norm: 5.6490 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0644 loss: 1.0644 2022/08/04 10:56:27 - mmengine - INFO - Epoch(train) [112][1600/1879] lr: 1.0000e-03 eta: 1 day, 8:29:27 time: 0.4380 data_time: 0.0156 memory: 17087 grad_norm: 5.6681 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1729 loss: 1.1729 2022/08/04 10:56:36 - mmengine - INFO - Epoch(train) [112][1620/1879] lr: 1.0000e-03 eta: 1 day, 8:29:18 time: 0.4404 data_time: 0.0173 memory: 17087 grad_norm: 5.6088 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1783 loss: 1.1783 2022/08/04 10:56:45 - mmengine - INFO - Epoch(train) [112][1640/1879] lr: 1.0000e-03 eta: 1 day, 8:29:10 time: 0.4272 data_time: 0.0156 memory: 17087 grad_norm: 5.6734 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0306 loss: 1.0306 2022/08/04 10:56:53 - mmengine - INFO - Epoch(train) [112][1660/1879] lr: 1.0000e-03 eta: 1 day, 8:29:01 time: 0.4333 data_time: 0.0174 memory: 17087 grad_norm: 5.5397 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9428 loss: 0.9428 2022/08/04 10:57:02 - mmengine - INFO - Epoch(train) [112][1680/1879] lr: 1.0000e-03 eta: 1 day, 8:28:52 time: 0.4278 data_time: 0.0167 memory: 17087 grad_norm: 5.6850 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0281 loss: 1.0281 2022/08/04 10:57:10 - mmengine - INFO - Epoch(train) [112][1700/1879] lr: 1.0000e-03 eta: 1 day, 8:28:43 time: 0.4277 data_time: 0.0130 memory: 17087 grad_norm: 5.6243 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0492 loss: 1.0492 2022/08/04 10:57:19 - mmengine - INFO - Epoch(train) [112][1720/1879] lr: 1.0000e-03 eta: 1 day, 8:28:35 time: 0.4351 data_time: 0.0179 memory: 17087 grad_norm: 5.3259 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0099 loss: 1.0099 2022/08/04 10:57:28 - mmengine - INFO - Epoch(train) [112][1740/1879] lr: 1.0000e-03 eta: 1 day, 8:28:26 time: 0.4272 data_time: 0.0140 memory: 17087 grad_norm: 5.6671 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8530 loss: 0.8530 2022/08/04 10:57:37 - mmengine - INFO - Epoch(train) [112][1760/1879] lr: 1.0000e-03 eta: 1 day, 8:28:18 time: 0.4546 data_time: 0.0184 memory: 17087 grad_norm: 5.8195 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9535 loss: 0.9535 2022/08/04 10:57:45 - mmengine - INFO - Epoch(train) [112][1780/1879] lr: 1.0000e-03 eta: 1 day, 8:28:09 time: 0.4267 data_time: 0.0151 memory: 17087 grad_norm: 5.5420 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1028 loss: 1.1028 2022/08/04 10:57:54 - mmengine - INFO - Epoch(train) [112][1800/1879] lr: 1.0000e-03 eta: 1 day, 8:28:01 time: 0.4290 data_time: 0.0163 memory: 17087 grad_norm: 5.6352 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0973 loss: 1.0973 2022/08/04 10:58:03 - mmengine - INFO - Epoch(train) [112][1820/1879] lr: 1.0000e-03 eta: 1 day, 8:27:52 time: 0.4258 data_time: 0.0135 memory: 17087 grad_norm: 5.5821 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0722 loss: 1.0722 2022/08/04 10:58:11 - mmengine - INFO - Epoch(train) [112][1840/1879] lr: 1.0000e-03 eta: 1 day, 8:27:43 time: 0.4281 data_time: 0.0177 memory: 17087 grad_norm: 5.7383 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1267 loss: 1.1267 2022/08/04 10:58:20 - mmengine - INFO - Epoch(train) [112][1860/1879] lr: 1.0000e-03 eta: 1 day, 8:27:35 time: 0.4409 data_time: 0.0154 memory: 17087 grad_norm: 5.7738 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9976 loss: 0.9976 2022/08/04 10:58:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 10:58:28 - mmengine - INFO - Epoch(train) [112][1879/1879] lr: 1.0000e-03 eta: 1 day, 8:27:35 time: 0.4084 data_time: 0.0142 memory: 17087 grad_norm: 5.7073 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 1.0509 loss: 1.0509 2022/08/04 10:58:28 - mmengine - INFO - Saving checkpoint at 112 epochs 2022/08/04 10:58:42 - mmengine - INFO - Epoch(train) [113][20/1879] lr: 1.0000e-03 eta: 1 day, 8:27:09 time: 0.5088 data_time: 0.0988 memory: 17087 grad_norm: 5.6868 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1072 loss: 1.1072 2022/08/04 10:58:51 - mmengine - INFO - Epoch(train) [113][40/1879] lr: 1.0000e-03 eta: 1 day, 8:27:01 time: 0.4613 data_time: 0.0203 memory: 17087 grad_norm: 5.4638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9403 loss: 0.9403 2022/08/04 10:58:59 - mmengine - INFO - Epoch(train) [113][60/1879] lr: 1.0000e-03 eta: 1 day, 8:26:53 time: 0.4333 data_time: 0.0183 memory: 17087 grad_norm: 5.7108 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0655 loss: 1.0655 2022/08/04 10:59:08 - mmengine - INFO - Epoch(train) [113][80/1879] lr: 1.0000e-03 eta: 1 day, 8:26:45 time: 0.4447 data_time: 0.0168 memory: 17087 grad_norm: 5.7709 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9745 loss: 0.9745 2022/08/04 10:59:17 - mmengine - INFO - Epoch(train) [113][100/1879] lr: 1.0000e-03 eta: 1 day, 8:26:36 time: 0.4278 data_time: 0.0156 memory: 17087 grad_norm: 5.6776 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9398 loss: 0.9398 2022/08/04 10:59:26 - mmengine - INFO - Epoch(train) [113][120/1879] lr: 1.0000e-03 eta: 1 day, 8:26:27 time: 0.4303 data_time: 0.0182 memory: 17087 grad_norm: 5.4327 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0155 loss: 1.0155 2022/08/04 10:59:34 - mmengine - INFO - Epoch(train) [113][140/1879] lr: 1.0000e-03 eta: 1 day, 8:26:18 time: 0.4280 data_time: 0.0156 memory: 17087 grad_norm: 5.8531 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9553 loss: 0.9553 2022/08/04 10:59:43 - mmengine - INFO - Epoch(train) [113][160/1879] lr: 1.0000e-03 eta: 1 day, 8:26:10 time: 0.4490 data_time: 0.0171 memory: 17087 grad_norm: 5.5231 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0913 loss: 1.0913 2022/08/04 10:59:52 - mmengine - INFO - Epoch(train) [113][180/1879] lr: 1.0000e-03 eta: 1 day, 8:26:01 time: 0.4275 data_time: 0.0149 memory: 17087 grad_norm: 5.6769 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9491 loss: 0.9491 2022/08/04 11:00:00 - mmengine - INFO - Epoch(train) [113][200/1879] lr: 1.0000e-03 eta: 1 day, 8:25:53 time: 0.4350 data_time: 0.0192 memory: 17087 grad_norm: 5.5749 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1225 loss: 1.1225 2022/08/04 11:00:09 - mmengine - INFO - Epoch(train) [113][220/1879] lr: 1.0000e-03 eta: 1 day, 8:25:44 time: 0.4280 data_time: 0.0152 memory: 17087 grad_norm: 5.6581 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0190 loss: 1.0190 2022/08/04 11:00:18 - mmengine - INFO - Epoch(train) [113][240/1879] lr: 1.0000e-03 eta: 1 day, 8:25:36 time: 0.4399 data_time: 0.0168 memory: 17087 grad_norm: 5.6897 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9954 loss: 0.9954 2022/08/04 11:00:26 - mmengine - INFO - Epoch(train) [113][260/1879] lr: 1.0000e-03 eta: 1 day, 8:25:27 time: 0.4285 data_time: 0.0145 memory: 17087 grad_norm: 5.8663 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1541 loss: 1.1541 2022/08/04 11:00:35 - mmengine - INFO - Epoch(train) [113][280/1879] lr: 1.0000e-03 eta: 1 day, 8:25:18 time: 0.4367 data_time: 0.0172 memory: 17087 grad_norm: 5.7094 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1233 loss: 1.1233 2022/08/04 11:00:44 - mmengine - INFO - Epoch(train) [113][300/1879] lr: 1.0000e-03 eta: 1 day, 8:25:10 time: 0.4309 data_time: 0.0164 memory: 17087 grad_norm: 5.6498 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9315 loss: 0.9315 2022/08/04 11:00:52 - mmengine - INFO - Epoch(train) [113][320/1879] lr: 1.0000e-03 eta: 1 day, 8:25:01 time: 0.4280 data_time: 0.0188 memory: 17087 grad_norm: 5.7357 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.2003 loss: 1.2003 2022/08/04 11:01:01 - mmengine - INFO - Epoch(train) [113][340/1879] lr: 1.0000e-03 eta: 1 day, 8:24:52 time: 0.4310 data_time: 0.0164 memory: 17087 grad_norm: 5.8699 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1787 loss: 1.1787 2022/08/04 11:01:10 - mmengine - INFO - Epoch(train) [113][360/1879] lr: 1.0000e-03 eta: 1 day, 8:24:44 time: 0.4303 data_time: 0.0187 memory: 17087 grad_norm: 5.6948 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1370 loss: 1.1370 2022/08/04 11:01:18 - mmengine - INFO - Epoch(train) [113][380/1879] lr: 1.0000e-03 eta: 1 day, 8:24:35 time: 0.4346 data_time: 0.0153 memory: 17087 grad_norm: 5.5730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1531 loss: 1.1531 2022/08/04 11:01:27 - mmengine - INFO - Epoch(train) [113][400/1879] lr: 1.0000e-03 eta: 1 day, 8:24:27 time: 0.4494 data_time: 0.0187 memory: 17087 grad_norm: 5.6230 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8174 loss: 0.8174 2022/08/04 11:01:36 - mmengine - INFO - Epoch(train) [113][420/1879] lr: 1.0000e-03 eta: 1 day, 8:24:18 time: 0.4298 data_time: 0.0156 memory: 17087 grad_norm: 5.4929 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1221 loss: 1.1221 2022/08/04 11:01:44 - mmengine - INFO - Epoch(train) [113][440/1879] lr: 1.0000e-03 eta: 1 day, 8:24:10 time: 0.4306 data_time: 0.0175 memory: 17087 grad_norm: 5.7308 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0074 loss: 1.0074 2022/08/04 11:01:53 - mmengine - INFO - Epoch(train) [113][460/1879] lr: 1.0000e-03 eta: 1 day, 8:24:01 time: 0.4418 data_time: 0.0155 memory: 17087 grad_norm: 5.5730 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0758 loss: 1.0758 2022/08/04 11:02:02 - mmengine - INFO - Epoch(train) [113][480/1879] lr: 1.0000e-03 eta: 1 day, 8:23:53 time: 0.4286 data_time: 0.0170 memory: 17087 grad_norm: 5.5686 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9841 loss: 0.9841 2022/08/04 11:02:11 - mmengine - INFO - Epoch(train) [113][500/1879] lr: 1.0000e-03 eta: 1 day, 8:23:44 time: 0.4469 data_time: 0.0165 memory: 17087 grad_norm: 5.7176 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0973 loss: 1.0973 2022/08/04 11:02:20 - mmengine - INFO - Epoch(train) [113][520/1879] lr: 1.0000e-03 eta: 1 day, 8:23:36 time: 0.4287 data_time: 0.0164 memory: 17087 grad_norm: 5.5998 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0505 loss: 1.0505 2022/08/04 11:02:29 - mmengine - INFO - Epoch(train) [113][540/1879] lr: 1.0000e-03 eta: 1 day, 8:23:28 time: 0.4585 data_time: 0.0213 memory: 17087 grad_norm: 5.8172 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9160 loss: 0.9160 2022/08/04 11:02:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 11:02:37 - mmengine - INFO - Epoch(train) [113][560/1879] lr: 1.0000e-03 eta: 1 day, 8:23:19 time: 0.4274 data_time: 0.0153 memory: 17087 grad_norm: 5.6489 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9109 loss: 0.9109 2022/08/04 11:02:46 - mmengine - INFO - Epoch(train) [113][580/1879] lr: 1.0000e-03 eta: 1 day, 8:23:11 time: 0.4452 data_time: 0.0191 memory: 17087 grad_norm: 5.7331 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0619 loss: 1.0619 2022/08/04 11:02:55 - mmengine - INFO - Epoch(train) [113][600/1879] lr: 1.0000e-03 eta: 1 day, 8:23:02 time: 0.4335 data_time: 0.0176 memory: 17087 grad_norm: 5.4567 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9796 loss: 0.9796 2022/08/04 11:03:03 - mmengine - INFO - Epoch(train) [113][620/1879] lr: 1.0000e-03 eta: 1 day, 8:22:53 time: 0.4320 data_time: 0.0163 memory: 17087 grad_norm: 5.5730 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8887 loss: 0.8887 2022/08/04 11:03:12 - mmengine - INFO - Epoch(train) [113][640/1879] lr: 1.0000e-03 eta: 1 day, 8:22:45 time: 0.4291 data_time: 0.0160 memory: 17087 grad_norm: 5.8400 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1331 loss: 1.1331 2022/08/04 11:03:21 - mmengine - INFO - Epoch(train) [113][660/1879] lr: 1.0000e-03 eta: 1 day, 8:22:36 time: 0.4258 data_time: 0.0142 memory: 17087 grad_norm: 5.6749 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9701 loss: 0.9701 2022/08/04 11:03:29 - mmengine - INFO - Epoch(train) [113][680/1879] lr: 1.0000e-03 eta: 1 day, 8:22:27 time: 0.4375 data_time: 0.0211 memory: 17087 grad_norm: 5.4957 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8725 loss: 0.8725 2022/08/04 11:03:38 - mmengine - INFO - Epoch(train) [113][700/1879] lr: 1.0000e-03 eta: 1 day, 8:22:19 time: 0.4283 data_time: 0.0157 memory: 17087 grad_norm: 5.8417 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0793 loss: 1.0793 2022/08/04 11:03:47 - mmengine - INFO - Epoch(train) [113][720/1879] lr: 1.0000e-03 eta: 1 day, 8:22:11 time: 0.4589 data_time: 0.0176 memory: 17087 grad_norm: 5.7351 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1340 loss: 1.1340 2022/08/04 11:03:56 - mmengine - INFO - Epoch(train) [113][740/1879] lr: 1.0000e-03 eta: 1 day, 8:22:02 time: 0.4290 data_time: 0.0152 memory: 17087 grad_norm: 5.6651 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1542 loss: 1.1542 2022/08/04 11:04:05 - mmengine - INFO - Epoch(train) [113][760/1879] lr: 1.0000e-03 eta: 1 day, 8:21:54 time: 0.4561 data_time: 0.0209 memory: 17087 grad_norm: 5.6333 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9689 loss: 0.9689 2022/08/04 11:04:13 - mmengine - INFO - Epoch(train) [113][780/1879] lr: 1.0000e-03 eta: 1 day, 8:21:45 time: 0.4272 data_time: 0.0141 memory: 17087 grad_norm: 5.6964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0133 loss: 1.0133 2022/08/04 11:04:22 - mmengine - INFO - Epoch(train) [113][800/1879] lr: 1.0000e-03 eta: 1 day, 8:21:37 time: 0.4292 data_time: 0.0165 memory: 17087 grad_norm: 5.8143 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.2030 loss: 1.2030 2022/08/04 11:04:31 - mmengine - INFO - Epoch(train) [113][820/1879] lr: 1.0000e-03 eta: 1 day, 8:21:28 time: 0.4447 data_time: 0.0149 memory: 17087 grad_norm: 5.7897 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0853 loss: 1.0853 2022/08/04 11:04:40 - mmengine - INFO - Epoch(train) [113][840/1879] lr: 1.0000e-03 eta: 1 day, 8:21:19 time: 0.4279 data_time: 0.0154 memory: 17087 grad_norm: 5.8590 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2388 loss: 1.2388 2022/08/04 11:04:49 - mmengine - INFO - Epoch(train) [113][860/1879] lr: 1.0000e-03 eta: 1 day, 8:21:12 time: 0.4743 data_time: 0.0200 memory: 17087 grad_norm: 5.6701 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1380 loss: 1.1380 2022/08/04 11:04:58 - mmengine - INFO - Epoch(train) [113][880/1879] lr: 1.0000e-03 eta: 1 day, 8:21:03 time: 0.4298 data_time: 0.0163 memory: 17087 grad_norm: 5.7480 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0676 loss: 1.0676 2022/08/04 11:05:07 - mmengine - INFO - Epoch(train) [113][900/1879] lr: 1.0000e-03 eta: 1 day, 8:20:56 time: 0.4796 data_time: 0.0214 memory: 17087 grad_norm: 5.6925 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9401 loss: 0.9401 2022/08/04 11:05:16 - mmengine - INFO - Epoch(train) [113][920/1879] lr: 1.0000e-03 eta: 1 day, 8:20:47 time: 0.4272 data_time: 0.0171 memory: 17087 grad_norm: 5.7387 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0476 loss: 1.0476 2022/08/04 11:05:25 - mmengine - INFO - Epoch(train) [113][940/1879] lr: 1.0000e-03 eta: 1 day, 8:20:39 time: 0.4706 data_time: 0.0219 memory: 17087 grad_norm: 5.7600 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0513 loss: 1.0513 2022/08/04 11:05:34 - mmengine - INFO - Epoch(train) [113][960/1879] lr: 1.0000e-03 eta: 1 day, 8:20:31 time: 0.4273 data_time: 0.0156 memory: 17087 grad_norm: 5.7247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9720 loss: 0.9720 2022/08/04 11:05:42 - mmengine - INFO - Epoch(train) [113][980/1879] lr: 1.0000e-03 eta: 1 day, 8:20:22 time: 0.4303 data_time: 0.0190 memory: 17087 grad_norm: 5.6680 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0721 loss: 1.0721 2022/08/04 11:05:51 - mmengine - INFO - Epoch(train) [113][1000/1879] lr: 1.0000e-03 eta: 1 day, 8:20:13 time: 0.4354 data_time: 0.0163 memory: 17087 grad_norm: 5.5037 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1050 loss: 1.1050 2022/08/04 11:06:00 - mmengine - INFO - Epoch(train) [113][1020/1879] lr: 1.0000e-03 eta: 1 day, 8:20:05 time: 0.4264 data_time: 0.0149 memory: 17087 grad_norm: 5.5000 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9239 loss: 0.9239 2022/08/04 11:06:09 - mmengine - INFO - Epoch(train) [113][1040/1879] lr: 1.0000e-03 eta: 1 day, 8:19:57 time: 0.4676 data_time: 0.0224 memory: 17087 grad_norm: 5.7333 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9797 loss: 0.9797 2022/08/04 11:06:18 - mmengine - INFO - Epoch(train) [113][1060/1879] lr: 1.0000e-03 eta: 1 day, 8:19:48 time: 0.4294 data_time: 0.0164 memory: 17087 grad_norm: 5.7646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0206 loss: 1.0206 2022/08/04 11:06:27 - mmengine - INFO - Epoch(train) [113][1080/1879] lr: 1.0000e-03 eta: 1 day, 8:19:40 time: 0.4643 data_time: 0.0212 memory: 17087 grad_norm: 5.6805 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8804 loss: 0.8804 2022/08/04 11:06:36 - mmengine - INFO - Epoch(train) [113][1100/1879] lr: 1.0000e-03 eta: 1 day, 8:19:32 time: 0.4295 data_time: 0.0144 memory: 17087 grad_norm: 5.7161 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9996 loss: 0.9996 2022/08/04 11:06:44 - mmengine - INFO - Epoch(train) [113][1120/1879] lr: 1.0000e-03 eta: 1 day, 8:19:23 time: 0.4435 data_time: 0.0227 memory: 17087 grad_norm: 5.8182 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1076 loss: 1.1076 2022/08/04 11:06:53 - mmengine - INFO - Epoch(train) [113][1140/1879] lr: 1.0000e-03 eta: 1 day, 8:19:15 time: 0.4263 data_time: 0.0154 memory: 17087 grad_norm: 5.7938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0964 loss: 1.0964 2022/08/04 11:07:02 - mmengine - INFO - Epoch(train) [113][1160/1879] lr: 1.0000e-03 eta: 1 day, 8:19:06 time: 0.4364 data_time: 0.0212 memory: 17087 grad_norm: 5.7118 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2242 loss: 1.2242 2022/08/04 11:07:10 - mmengine - INFO - Epoch(train) [113][1180/1879] lr: 1.0000e-03 eta: 1 day, 8:18:57 time: 0.4302 data_time: 0.0164 memory: 17087 grad_norm: 5.8573 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0886 loss: 1.0886 2022/08/04 11:07:19 - mmengine - INFO - Epoch(train) [113][1200/1879] lr: 1.0000e-03 eta: 1 day, 8:18:49 time: 0.4474 data_time: 0.0165 memory: 17087 grad_norm: 5.5573 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1583 loss: 1.1583 2022/08/04 11:07:28 - mmengine - INFO - Epoch(train) [113][1220/1879] lr: 1.0000e-03 eta: 1 day, 8:18:41 time: 0.4431 data_time: 0.0160 memory: 17087 grad_norm: 5.6766 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9345 loss: 0.9345 2022/08/04 11:07:37 - mmengine - INFO - Epoch(train) [113][1240/1879] lr: 1.0000e-03 eta: 1 day, 8:18:33 time: 0.4538 data_time: 0.0170 memory: 17087 grad_norm: 5.5934 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1714 loss: 1.1714 2022/08/04 11:07:46 - mmengine - INFO - Epoch(train) [113][1260/1879] lr: 1.0000e-03 eta: 1 day, 8:18:24 time: 0.4268 data_time: 0.0146 memory: 17087 grad_norm: 5.5982 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9255 loss: 0.9255 2022/08/04 11:07:55 - mmengine - INFO - Epoch(train) [113][1280/1879] lr: 1.0000e-03 eta: 1 day, 8:18:16 time: 0.4545 data_time: 0.0215 memory: 17087 grad_norm: 5.5938 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9595 loss: 0.9595 2022/08/04 11:08:03 - mmengine - INFO - Epoch(train) [113][1300/1879] lr: 1.0000e-03 eta: 1 day, 8:18:07 time: 0.4252 data_time: 0.0137 memory: 17087 grad_norm: 5.5912 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9540 loss: 0.9540 2022/08/04 11:08:12 - mmengine - INFO - Epoch(train) [113][1320/1879] lr: 1.0000e-03 eta: 1 day, 8:17:58 time: 0.4263 data_time: 0.0169 memory: 17087 grad_norm: 5.7700 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1344 loss: 1.1344 2022/08/04 11:08:21 - mmengine - INFO - Epoch(train) [113][1340/1879] lr: 1.0000e-03 eta: 1 day, 8:17:50 time: 0.4567 data_time: 0.0160 memory: 17087 grad_norm: 5.7728 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1190 loss: 1.1190 2022/08/04 11:08:30 - mmengine - INFO - Epoch(train) [113][1360/1879] lr: 1.0000e-03 eta: 1 day, 8:17:42 time: 0.4304 data_time: 0.0169 memory: 17087 grad_norm: 5.8530 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0746 loss: 1.0746 2022/08/04 11:08:38 - mmengine - INFO - Epoch(train) [113][1380/1879] lr: 1.0000e-03 eta: 1 day, 8:17:33 time: 0.4303 data_time: 0.0173 memory: 17087 grad_norm: 5.7127 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1773 loss: 1.1773 2022/08/04 11:08:47 - mmengine - INFO - Epoch(train) [113][1400/1879] lr: 1.0000e-03 eta: 1 day, 8:17:25 time: 0.4473 data_time: 0.0165 memory: 17087 grad_norm: 5.5556 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0258 loss: 1.0258 2022/08/04 11:08:56 - mmengine - INFO - Epoch(train) [113][1420/1879] lr: 1.0000e-03 eta: 1 day, 8:17:16 time: 0.4271 data_time: 0.0134 memory: 17087 grad_norm: 5.6297 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9986 loss: 0.9986 2022/08/04 11:09:05 - mmengine - INFO - Epoch(train) [113][1440/1879] lr: 1.0000e-03 eta: 1 day, 8:17:08 time: 0.4618 data_time: 0.0240 memory: 17087 grad_norm: 5.6749 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1710 loss: 1.1710 2022/08/04 11:09:14 - mmengine - INFO - Epoch(train) [113][1460/1879] lr: 1.0000e-03 eta: 1 day, 8:16:59 time: 0.4310 data_time: 0.0171 memory: 17087 grad_norm: 5.5551 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9516 loss: 0.9516 2022/08/04 11:09:22 - mmengine - INFO - Epoch(train) [113][1480/1879] lr: 1.0000e-03 eta: 1 day, 8:16:51 time: 0.4314 data_time: 0.0193 memory: 17087 grad_norm: 5.7109 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1004 loss: 1.1004 2022/08/04 11:09:31 - mmengine - INFO - Epoch(train) [113][1500/1879] lr: 1.0000e-03 eta: 1 day, 8:16:42 time: 0.4314 data_time: 0.0148 memory: 17087 grad_norm: 5.8027 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1695 loss: 1.1695 2022/08/04 11:09:40 - mmengine - INFO - Epoch(train) [113][1520/1879] lr: 1.0000e-03 eta: 1 day, 8:16:33 time: 0.4293 data_time: 0.0154 memory: 17087 grad_norm: 5.5551 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0379 loss: 1.0379 2022/08/04 11:09:48 - mmengine - INFO - Epoch(train) [113][1540/1879] lr: 1.0000e-03 eta: 1 day, 8:16:25 time: 0.4276 data_time: 0.0156 memory: 17087 grad_norm: 5.6847 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0409 loss: 1.0409 2022/08/04 11:09:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 11:09:57 - mmengine - INFO - Epoch(train) [113][1560/1879] lr: 1.0000e-03 eta: 1 day, 8:16:16 time: 0.4276 data_time: 0.0163 memory: 17087 grad_norm: 5.8563 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1200 loss: 1.1200 2022/08/04 11:10:06 - mmengine - INFO - Epoch(train) [113][1580/1879] lr: 1.0000e-03 eta: 1 day, 8:16:08 time: 0.4537 data_time: 0.0161 memory: 17087 grad_norm: 5.6914 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9959 loss: 0.9959 2022/08/04 11:10:14 - mmengine - INFO - Epoch(train) [113][1600/1879] lr: 1.0000e-03 eta: 1 day, 8:15:59 time: 0.4309 data_time: 0.0161 memory: 17087 grad_norm: 5.7796 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0636 loss: 1.0636 2022/08/04 11:10:23 - mmengine - INFO - Epoch(train) [113][1620/1879] lr: 1.0000e-03 eta: 1 day, 8:15:50 time: 0.4272 data_time: 0.0154 memory: 17087 grad_norm: 5.5458 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8779 loss: 0.8779 2022/08/04 11:10:32 - mmengine - INFO - Epoch(train) [113][1640/1879] lr: 1.0000e-03 eta: 1 day, 8:15:42 time: 0.4496 data_time: 0.0178 memory: 17087 grad_norm: 5.6604 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8495 loss: 0.8495 2022/08/04 11:10:41 - mmengine - INFO - Epoch(train) [113][1660/1879] lr: 1.0000e-03 eta: 1 day, 8:15:34 time: 0.4278 data_time: 0.0151 memory: 17087 grad_norm: 5.5645 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0076 loss: 1.0076 2022/08/04 11:10:50 - mmengine - INFO - Epoch(train) [113][1680/1879] lr: 1.0000e-03 eta: 1 day, 8:15:25 time: 0.4557 data_time: 0.0201 memory: 17087 grad_norm: 5.7022 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1084 loss: 1.1084 2022/08/04 11:10:58 - mmengine - INFO - Epoch(train) [113][1700/1879] lr: 1.0000e-03 eta: 1 day, 8:15:17 time: 0.4276 data_time: 0.0153 memory: 17087 grad_norm: 5.8767 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0127 loss: 1.0127 2022/08/04 11:11:08 - mmengine - INFO - Epoch(train) [113][1720/1879] lr: 1.0000e-03 eta: 1 day, 8:15:09 time: 0.4681 data_time: 0.0218 memory: 17087 grad_norm: 5.7236 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0104 loss: 1.0104 2022/08/04 11:11:16 - mmengine - INFO - Epoch(train) [113][1740/1879] lr: 1.0000e-03 eta: 1 day, 8:15:00 time: 0.4313 data_time: 0.0189 memory: 17087 grad_norm: 5.8173 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8826 loss: 0.8826 2022/08/04 11:11:25 - mmengine - INFO - Epoch(train) [113][1760/1879] lr: 1.0000e-03 eta: 1 day, 8:14:52 time: 0.4361 data_time: 0.0169 memory: 17087 grad_norm: 5.9620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.3098 loss: 1.3098 2022/08/04 11:11:33 - mmengine - INFO - Epoch(train) [113][1780/1879] lr: 1.0000e-03 eta: 1 day, 8:14:43 time: 0.4242 data_time: 0.0134 memory: 17087 grad_norm: 5.7396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0505 loss: 1.0505 2022/08/04 11:11:42 - mmengine - INFO - Epoch(train) [113][1800/1879] lr: 1.0000e-03 eta: 1 day, 8:14:34 time: 0.4287 data_time: 0.0151 memory: 17087 grad_norm: 5.6491 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1017 loss: 1.1017 2022/08/04 11:11:51 - mmengine - INFO - Epoch(train) [113][1820/1879] lr: 1.0000e-03 eta: 1 day, 8:14:26 time: 0.4319 data_time: 0.0148 memory: 17087 grad_norm: 5.8312 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2148 loss: 1.2148 2022/08/04 11:11:59 - mmengine - INFO - Epoch(train) [113][1840/1879] lr: 1.0000e-03 eta: 1 day, 8:14:17 time: 0.4280 data_time: 0.0167 memory: 17087 grad_norm: 5.8269 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0633 loss: 1.0633 2022/08/04 11:12:08 - mmengine - INFO - Epoch(train) [113][1860/1879] lr: 1.0000e-03 eta: 1 day, 8:14:08 time: 0.4332 data_time: 0.0160 memory: 17087 grad_norm: 5.5540 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.1162 loss: 1.1162 2022/08/04 11:12:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 11:12:16 - mmengine - INFO - Epoch(train) [113][1879/1879] lr: 1.0000e-03 eta: 1 day, 8:14:08 time: 0.4089 data_time: 0.0142 memory: 17087 grad_norm: 5.7170 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.0500 loss: 1.0500 2022/08/04 11:12:27 - mmengine - INFO - Epoch(train) [114][20/1879] lr: 1.0000e-03 eta: 1 day, 8:13:45 time: 0.5673 data_time: 0.1357 memory: 17087 grad_norm: 5.6802 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1803 loss: 1.1803 2022/08/04 11:12:36 - mmengine - INFO - Epoch(train) [114][40/1879] lr: 1.0000e-03 eta: 1 day, 8:13:36 time: 0.4339 data_time: 0.0205 memory: 17087 grad_norm: 5.6573 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0294 loss: 1.0294 2022/08/04 11:12:45 - mmengine - INFO - Epoch(train) [114][60/1879] lr: 1.0000e-03 eta: 1 day, 8:13:28 time: 0.4406 data_time: 0.0151 memory: 17087 grad_norm: 5.4408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9565 loss: 0.9565 2022/08/04 11:12:53 - mmengine - INFO - Epoch(train) [114][80/1879] lr: 1.0000e-03 eta: 1 day, 8:13:19 time: 0.4294 data_time: 0.0169 memory: 17087 grad_norm: 5.4071 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9731 loss: 0.9731 2022/08/04 11:13:02 - mmengine - INFO - Epoch(train) [114][100/1879] lr: 1.0000e-03 eta: 1 day, 8:13:10 time: 0.4257 data_time: 0.0141 memory: 17087 grad_norm: 5.6293 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0026 loss: 1.0026 2022/08/04 11:13:10 - mmengine - INFO - Epoch(train) [114][120/1879] lr: 1.0000e-03 eta: 1 day, 8:13:01 time: 0.4345 data_time: 0.0173 memory: 17087 grad_norm: 5.7077 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0647 loss: 1.0647 2022/08/04 11:13:19 - mmengine - INFO - Epoch(train) [114][140/1879] lr: 1.0000e-03 eta: 1 day, 8:12:53 time: 0.4279 data_time: 0.0151 memory: 17087 grad_norm: 5.4816 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8959 loss: 0.8959 2022/08/04 11:13:28 - mmengine - INFO - Epoch(train) [114][160/1879] lr: 1.0000e-03 eta: 1 day, 8:12:44 time: 0.4290 data_time: 0.0173 memory: 17087 grad_norm: 5.6407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1242 loss: 1.1242 2022/08/04 11:13:36 - mmengine - INFO - Epoch(train) [114][180/1879] lr: 1.0000e-03 eta: 1 day, 8:12:35 time: 0.4281 data_time: 0.0151 memory: 17087 grad_norm: 5.7126 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0155 loss: 1.0155 2022/08/04 11:13:45 - mmengine - INFO - Epoch(train) [114][200/1879] lr: 1.0000e-03 eta: 1 day, 8:12:27 time: 0.4344 data_time: 0.0168 memory: 17087 grad_norm: 5.6923 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9435 loss: 0.9435 2022/08/04 11:13:53 - mmengine - INFO - Epoch(train) [114][220/1879] lr: 1.0000e-03 eta: 1 day, 8:12:18 time: 0.4273 data_time: 0.0149 memory: 17087 grad_norm: 5.6685 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0747 loss: 1.0747 2022/08/04 11:14:02 - mmengine - INFO - Epoch(train) [114][240/1879] lr: 1.0000e-03 eta: 1 day, 8:12:09 time: 0.4303 data_time: 0.0167 memory: 17087 grad_norm: 5.4013 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0311 loss: 1.0311 2022/08/04 11:14:11 - mmengine - INFO - Epoch(train) [114][260/1879] lr: 1.0000e-03 eta: 1 day, 8:12:01 time: 0.4296 data_time: 0.0157 memory: 17087 grad_norm: 5.6042 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0350 loss: 1.0350 2022/08/04 11:14:19 - mmengine - INFO - Epoch(train) [114][280/1879] lr: 1.0000e-03 eta: 1 day, 8:11:52 time: 0.4302 data_time: 0.0185 memory: 17087 grad_norm: 5.6547 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0996 loss: 1.0996 2022/08/04 11:14:28 - mmengine - INFO - Epoch(train) [114][300/1879] lr: 1.0000e-03 eta: 1 day, 8:11:44 time: 0.4440 data_time: 0.0159 memory: 17087 grad_norm: 5.7304 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0507 loss: 1.0507 2022/08/04 11:14:37 - mmengine - INFO - Epoch(train) [114][320/1879] lr: 1.0000e-03 eta: 1 day, 8:11:35 time: 0.4322 data_time: 0.0166 memory: 17087 grad_norm: 5.7615 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1352 loss: 1.1352 2022/08/04 11:14:46 - mmengine - INFO - Epoch(train) [114][340/1879] lr: 1.0000e-03 eta: 1 day, 8:11:27 time: 0.4480 data_time: 0.0145 memory: 17087 grad_norm: 5.5286 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8910 loss: 0.8910 2022/08/04 11:14:55 - mmengine - INFO - Epoch(train) [114][360/1879] lr: 1.0000e-03 eta: 1 day, 8:11:18 time: 0.4349 data_time: 0.0184 memory: 17087 grad_norm: 5.7094 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1151 loss: 1.1151 2022/08/04 11:15:03 - mmengine - INFO - Epoch(train) [114][380/1879] lr: 1.0000e-03 eta: 1 day, 8:11:09 time: 0.4277 data_time: 0.0174 memory: 17087 grad_norm: 5.7838 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0906 loss: 1.0906 2022/08/04 11:15:12 - mmengine - INFO - Epoch(train) [114][400/1879] lr: 1.0000e-03 eta: 1 day, 8:11:01 time: 0.4392 data_time: 0.0158 memory: 17087 grad_norm: 5.7342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1579 loss: 1.1579 2022/08/04 11:15:21 - mmengine - INFO - Epoch(train) [114][420/1879] lr: 1.0000e-03 eta: 1 day, 8:10:53 time: 0.4568 data_time: 0.0163 memory: 17087 grad_norm: 5.6268 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0495 loss: 1.0495 2022/08/04 11:15:30 - mmengine - INFO - Epoch(train) [114][440/1879] lr: 1.0000e-03 eta: 1 day, 8:10:44 time: 0.4364 data_time: 0.0161 memory: 17087 grad_norm: 5.8699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9576 loss: 0.9576 2022/08/04 11:15:39 - mmengine - INFO - Epoch(train) [114][460/1879] lr: 1.0000e-03 eta: 1 day, 8:10:36 time: 0.4389 data_time: 0.0204 memory: 17087 grad_norm: 5.7219 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0908 loss: 1.0908 2022/08/04 11:15:47 - mmengine - INFO - Epoch(train) [114][480/1879] lr: 1.0000e-03 eta: 1 day, 8:10:27 time: 0.4297 data_time: 0.0153 memory: 17087 grad_norm: 5.8213 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1975 loss: 1.1975 2022/08/04 11:15:56 - mmengine - INFO - Epoch(train) [114][500/1879] lr: 1.0000e-03 eta: 1 day, 8:10:19 time: 0.4281 data_time: 0.0163 memory: 17087 grad_norm: 5.8490 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.1961 loss: 1.1961 2022/08/04 11:16:04 - mmengine - INFO - Epoch(train) [114][520/1879] lr: 1.0000e-03 eta: 1 day, 8:10:10 time: 0.4332 data_time: 0.0170 memory: 17087 grad_norm: 5.7781 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0300 loss: 1.0300 2022/08/04 11:16:13 - mmengine - INFO - Epoch(train) [114][540/1879] lr: 1.0000e-03 eta: 1 day, 8:10:01 time: 0.4290 data_time: 0.0148 memory: 17087 grad_norm: 5.7094 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0995 loss: 1.0995 2022/08/04 11:16:22 - mmengine - INFO - Epoch(train) [114][560/1879] lr: 1.0000e-03 eta: 1 day, 8:09:53 time: 0.4513 data_time: 0.0157 memory: 17087 grad_norm: 5.8338 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9622 loss: 0.9622 2022/08/04 11:16:31 - mmengine - INFO - Epoch(train) [114][580/1879] lr: 1.0000e-03 eta: 1 day, 8:09:45 time: 0.4402 data_time: 0.0165 memory: 17087 grad_norm: 5.6564 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0942 loss: 1.0942 2022/08/04 11:16:39 - mmengine - INFO - Epoch(train) [114][600/1879] lr: 1.0000e-03 eta: 1 day, 8:09:36 time: 0.4286 data_time: 0.0164 memory: 17087 grad_norm: 5.6433 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8943 loss: 0.8943 2022/08/04 11:16:49 - mmengine - INFO - Epoch(train) [114][620/1879] lr: 1.0000e-03 eta: 1 day, 8:09:28 time: 0.4692 data_time: 0.0167 memory: 17087 grad_norm: 5.5953 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8614 loss: 0.8614 2022/08/04 11:16:58 - mmengine - INFO - Epoch(train) [114][640/1879] lr: 1.0000e-03 eta: 1 day, 8:09:20 time: 0.4406 data_time: 0.0167 memory: 17087 grad_norm: 5.7472 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0797 loss: 1.0797 2022/08/04 11:17:07 - mmengine - INFO - Epoch(train) [114][660/1879] lr: 1.0000e-03 eta: 1 day, 8:09:12 time: 0.4442 data_time: 0.0161 memory: 17087 grad_norm: 5.8799 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2175 loss: 1.2175 2022/08/04 11:17:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 11:17:15 - mmengine - INFO - Epoch(train) [114][680/1879] lr: 1.0000e-03 eta: 1 day, 8:09:03 time: 0.4268 data_time: 0.0155 memory: 17087 grad_norm: 5.7541 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8865 loss: 0.8865 2022/08/04 11:17:24 - mmengine - INFO - Epoch(train) [114][700/1879] lr: 1.0000e-03 eta: 1 day, 8:08:54 time: 0.4268 data_time: 0.0139 memory: 17087 grad_norm: 5.7800 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0436 loss: 1.0436 2022/08/04 11:17:33 - mmengine - INFO - Epoch(train) [114][720/1879] lr: 1.0000e-03 eta: 1 day, 8:08:46 time: 0.4432 data_time: 0.0175 memory: 17087 grad_norm: 5.8645 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9687 loss: 0.9687 2022/08/04 11:17:41 - mmengine - INFO - Epoch(train) [114][740/1879] lr: 1.0000e-03 eta: 1 day, 8:08:37 time: 0.4267 data_time: 0.0151 memory: 17087 grad_norm: 5.6416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0724 loss: 1.0724 2022/08/04 11:17:50 - mmengine - INFO - Epoch(train) [114][760/1879] lr: 1.0000e-03 eta: 1 day, 8:08:29 time: 0.4573 data_time: 0.0172 memory: 17087 grad_norm: 5.7476 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1639 loss: 1.1639 2022/08/04 11:17:59 - mmengine - INFO - Epoch(train) [114][780/1879] lr: 1.0000e-03 eta: 1 day, 8:08:20 time: 0.4286 data_time: 0.0162 memory: 17087 grad_norm: 5.7929 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0710 loss: 1.0710 2022/08/04 11:18:08 - mmengine - INFO - Epoch(train) [114][800/1879] lr: 1.0000e-03 eta: 1 day, 8:08:12 time: 0.4647 data_time: 0.0178 memory: 17087 grad_norm: 5.7474 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1342 loss: 1.1342 2022/08/04 11:18:17 - mmengine - INFO - Epoch(train) [114][820/1879] lr: 1.0000e-03 eta: 1 day, 8:08:04 time: 0.4273 data_time: 0.0157 memory: 17087 grad_norm: 5.6592 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0560 loss: 1.0560 2022/08/04 11:18:26 - mmengine - INFO - Epoch(train) [114][840/1879] lr: 1.0000e-03 eta: 1 day, 8:07:56 time: 0.4649 data_time: 0.0166 memory: 17087 grad_norm: 5.4111 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0735 loss: 1.0735 2022/08/04 11:18:35 - mmengine - INFO - Epoch(train) [114][860/1879] lr: 1.0000e-03 eta: 1 day, 8:07:47 time: 0.4287 data_time: 0.0159 memory: 17087 grad_norm: 5.8226 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1330 loss: 1.1330 2022/08/04 11:18:43 - mmengine - INFO - Epoch(train) [114][880/1879] lr: 1.0000e-03 eta: 1 day, 8:07:38 time: 0.4280 data_time: 0.0154 memory: 17087 grad_norm: 5.6469 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9051 loss: 0.9051 2022/08/04 11:18:53 - mmengine - INFO - Epoch(train) [114][900/1879] lr: 1.0000e-03 eta: 1 day, 8:07:31 time: 0.4672 data_time: 0.0169 memory: 17087 grad_norm: 5.5701 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0700 loss: 1.0700 2022/08/04 11:19:01 - mmengine - INFO - Epoch(train) [114][920/1879] lr: 1.0000e-03 eta: 1 day, 8:07:22 time: 0.4277 data_time: 0.0162 memory: 17087 grad_norm: 5.7179 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8911 loss: 0.8911 2022/08/04 11:19:11 - mmengine - INFO - Epoch(train) [114][940/1879] lr: 1.0000e-03 eta: 1 day, 8:07:14 time: 0.4722 data_time: 0.0176 memory: 17087 grad_norm: 5.7915 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 1.0504 loss: 1.0504 2022/08/04 11:19:19 - mmengine - INFO - Epoch(train) [114][960/1879] lr: 1.0000e-03 eta: 1 day, 8:07:05 time: 0.4271 data_time: 0.0150 memory: 17087 grad_norm: 5.8298 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0387 loss: 1.0387 2022/08/04 11:19:28 - mmengine - INFO - Epoch(train) [114][980/1879] lr: 1.0000e-03 eta: 1 day, 8:06:57 time: 0.4293 data_time: 0.0161 memory: 17087 grad_norm: 5.7918 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0122 loss: 1.0122 2022/08/04 11:19:37 - mmengine - INFO - Epoch(train) [114][1000/1879] lr: 1.0000e-03 eta: 1 day, 8:06:49 time: 0.4487 data_time: 0.0167 memory: 17087 grad_norm: 5.8416 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0182 loss: 1.0182 2022/08/04 11:19:45 - mmengine - INFO - Epoch(train) [114][1020/1879] lr: 1.0000e-03 eta: 1 day, 8:06:40 time: 0.4268 data_time: 0.0164 memory: 17087 grad_norm: 5.6845 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0472 loss: 1.0472 2022/08/04 11:19:54 - mmengine - INFO - Epoch(train) [114][1040/1879] lr: 1.0000e-03 eta: 1 day, 8:06:31 time: 0.4423 data_time: 0.0212 memory: 17087 grad_norm: 5.5536 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9701 loss: 0.9701 2022/08/04 11:20:03 - mmengine - INFO - Epoch(train) [114][1060/1879] lr: 1.0000e-03 eta: 1 day, 8:06:23 time: 0.4276 data_time: 0.0160 memory: 17087 grad_norm: 5.6422 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0386 loss: 1.0386 2022/08/04 11:20:12 - mmengine - INFO - Epoch(train) [114][1080/1879] lr: 1.0000e-03 eta: 1 day, 8:06:14 time: 0.4462 data_time: 0.0169 memory: 17087 grad_norm: 5.5633 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0315 loss: 1.0315 2022/08/04 11:20:20 - mmengine - INFO - Epoch(train) [114][1100/1879] lr: 1.0000e-03 eta: 1 day, 8:06:06 time: 0.4319 data_time: 0.0151 memory: 17087 grad_norm: 5.6714 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0226 loss: 1.0226 2022/08/04 11:20:29 - mmengine - INFO - Epoch(train) [114][1120/1879] lr: 1.0000e-03 eta: 1 day, 8:05:57 time: 0.4342 data_time: 0.0161 memory: 17087 grad_norm: 5.7424 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1084 loss: 1.1084 2022/08/04 11:20:38 - mmengine - INFO - Epoch(train) [114][1140/1879] lr: 1.0000e-03 eta: 1 day, 8:05:48 time: 0.4290 data_time: 0.0156 memory: 17087 grad_norm: 5.6665 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9506 loss: 0.9506 2022/08/04 11:20:46 - mmengine - INFO - Epoch(train) [114][1160/1879] lr: 1.0000e-03 eta: 1 day, 8:05:40 time: 0.4359 data_time: 0.0162 memory: 17087 grad_norm: 5.8375 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0496 loss: 1.0496 2022/08/04 11:20:55 - mmengine - INFO - Epoch(train) [114][1180/1879] lr: 1.0000e-03 eta: 1 day, 8:05:31 time: 0.4281 data_time: 0.0153 memory: 17087 grad_norm: 5.7282 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0688 loss: 1.0688 2022/08/04 11:21:03 - mmengine - INFO - Epoch(train) [114][1200/1879] lr: 1.0000e-03 eta: 1 day, 8:05:22 time: 0.4270 data_time: 0.0152 memory: 17087 grad_norm: 5.4912 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1094 loss: 1.1094 2022/08/04 11:21:12 - mmengine - INFO - Epoch(train) [114][1220/1879] lr: 1.0000e-03 eta: 1 day, 8:05:14 time: 0.4416 data_time: 0.0147 memory: 17087 grad_norm: 5.6627 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8985 loss: 0.8985 2022/08/04 11:21:21 - mmengine - INFO - Epoch(train) [114][1240/1879] lr: 1.0000e-03 eta: 1 day, 8:05:05 time: 0.4313 data_time: 0.0163 memory: 17087 grad_norm: 5.7405 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9531 loss: 0.9531 2022/08/04 11:21:30 - mmengine - INFO - Epoch(train) [114][1260/1879] lr: 1.0000e-03 eta: 1 day, 8:04:57 time: 0.4365 data_time: 0.0160 memory: 17087 grad_norm: 5.7264 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8886 loss: 0.8886 2022/08/04 11:21:38 - mmengine - INFO - Epoch(train) [114][1280/1879] lr: 1.0000e-03 eta: 1 day, 8:04:48 time: 0.4390 data_time: 0.0165 memory: 17087 grad_norm: 5.9465 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0140 loss: 1.0140 2022/08/04 11:21:48 - mmengine - INFO - Epoch(train) [114][1300/1879] lr: 1.0000e-03 eta: 1 day, 8:04:40 time: 0.4550 data_time: 0.0156 memory: 17087 grad_norm: 5.7833 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9692 loss: 0.9692 2022/08/04 11:21:57 - mmengine - INFO - Epoch(train) [114][1320/1879] lr: 1.0000e-03 eta: 1 day, 8:04:32 time: 0.4494 data_time: 0.0188 memory: 17087 grad_norm: 5.7953 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1744 loss: 1.1744 2022/08/04 11:22:05 - mmengine - INFO - Epoch(train) [114][1340/1879] lr: 1.0000e-03 eta: 1 day, 8:04:24 time: 0.4423 data_time: 0.0160 memory: 17087 grad_norm: 5.5390 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9028 loss: 0.9028 2022/08/04 11:22:14 - mmengine - INFO - Epoch(train) [114][1360/1879] lr: 1.0000e-03 eta: 1 day, 8:04:15 time: 0.4291 data_time: 0.0168 memory: 17087 grad_norm: 5.8374 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0391 loss: 1.0391 2022/08/04 11:22:23 - mmengine - INFO - Epoch(train) [114][1380/1879] lr: 1.0000e-03 eta: 1 day, 8:04:07 time: 0.4409 data_time: 0.0138 memory: 17087 grad_norm: 5.5902 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1384 loss: 1.1384 2022/08/04 11:22:32 - mmengine - INFO - Epoch(train) [114][1400/1879] lr: 1.0000e-03 eta: 1 day, 8:03:58 time: 0.4303 data_time: 0.0154 memory: 17087 grad_norm: 5.8366 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9376 loss: 0.9376 2022/08/04 11:22:41 - mmengine - INFO - Epoch(train) [114][1420/1879] lr: 1.0000e-03 eta: 1 day, 8:03:50 time: 0.4502 data_time: 0.0167 memory: 17087 grad_norm: 5.6725 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1889 loss: 1.1889 2022/08/04 11:22:49 - mmengine - INFO - Epoch(train) [114][1440/1879] lr: 1.0000e-03 eta: 1 day, 8:03:41 time: 0.4271 data_time: 0.0156 memory: 17087 grad_norm: 5.7238 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0318 loss: 1.0318 2022/08/04 11:22:58 - mmengine - INFO - Epoch(train) [114][1460/1879] lr: 1.0000e-03 eta: 1 day, 8:03:32 time: 0.4308 data_time: 0.0141 memory: 17087 grad_norm: 5.5028 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9403 loss: 0.9403 2022/08/04 11:23:06 - mmengine - INFO - Epoch(train) [114][1480/1879] lr: 1.0000e-03 eta: 1 day, 8:03:24 time: 0.4290 data_time: 0.0176 memory: 17087 grad_norm: 5.8149 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2267 loss: 1.2267 2022/08/04 11:23:15 - mmengine - INFO - Epoch(train) [114][1500/1879] lr: 1.0000e-03 eta: 1 day, 8:03:15 time: 0.4470 data_time: 0.0127 memory: 17087 grad_norm: 5.8042 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0089 loss: 1.0089 2022/08/04 11:23:24 - mmengine - INFO - Epoch(train) [114][1520/1879] lr: 1.0000e-03 eta: 1 day, 8:03:07 time: 0.4294 data_time: 0.0178 memory: 17087 grad_norm: 5.7696 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.2828 loss: 1.2828 2022/08/04 11:23:32 - mmengine - INFO - Epoch(train) [114][1540/1879] lr: 1.0000e-03 eta: 1 day, 8:02:58 time: 0.4280 data_time: 0.0137 memory: 17087 grad_norm: 5.8101 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9862 loss: 0.9862 2022/08/04 11:23:42 - mmengine - INFO - Epoch(train) [114][1560/1879] lr: 1.0000e-03 eta: 1 day, 8:02:50 time: 0.4568 data_time: 0.0212 memory: 17087 grad_norm: 5.6918 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1141 loss: 1.1141 2022/08/04 11:23:50 - mmengine - INFO - Epoch(train) [114][1580/1879] lr: 1.0000e-03 eta: 1 day, 8:02:41 time: 0.4349 data_time: 0.0156 memory: 17087 grad_norm: 5.8198 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0961 loss: 1.0961 2022/08/04 11:23:59 - mmengine - INFO - Epoch(train) [114][1600/1879] lr: 1.0000e-03 eta: 1 day, 8:02:33 time: 0.4284 data_time: 0.0167 memory: 17087 grad_norm: 5.7584 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0832 loss: 1.0832 2022/08/04 11:24:08 - mmengine - INFO - Epoch(train) [114][1620/1879] lr: 1.0000e-03 eta: 1 day, 8:02:25 time: 0.4542 data_time: 0.0167 memory: 17087 grad_norm: 5.6464 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9131 loss: 0.9131 2022/08/04 11:24:17 - mmengine - INFO - Epoch(train) [114][1640/1879] lr: 1.0000e-03 eta: 1 day, 8:02:16 time: 0.4338 data_time: 0.0210 memory: 17087 grad_norm: 5.6679 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0519 loss: 1.0519 2022/08/04 11:24:26 - mmengine - INFO - Epoch(train) [114][1660/1879] lr: 1.0000e-03 eta: 1 day, 8:02:08 time: 0.4581 data_time: 0.0157 memory: 17087 grad_norm: 5.7398 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0103 loss: 1.0103 2022/08/04 11:24:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 11:24:34 - mmengine - INFO - Epoch(train) [114][1680/1879] lr: 1.0000e-03 eta: 1 day, 8:01:59 time: 0.4277 data_time: 0.0181 memory: 17087 grad_norm: 5.8203 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9961 loss: 0.9961 2022/08/04 11:24:43 - mmengine - INFO - Epoch(train) [114][1700/1879] lr: 1.0000e-03 eta: 1 day, 8:01:51 time: 0.4306 data_time: 0.0179 memory: 17087 grad_norm: 5.6895 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0975 loss: 1.0975 2022/08/04 11:24:52 - mmengine - INFO - Epoch(train) [114][1720/1879] lr: 1.0000e-03 eta: 1 day, 8:01:42 time: 0.4334 data_time: 0.0180 memory: 17087 grad_norm: 5.7315 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0807 loss: 1.0807 2022/08/04 11:25:00 - mmengine - INFO - Epoch(train) [114][1740/1879] lr: 1.0000e-03 eta: 1 day, 8:01:33 time: 0.4262 data_time: 0.0146 memory: 17087 grad_norm: 5.6177 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0617 loss: 1.0617 2022/08/04 11:25:09 - mmengine - INFO - Epoch(train) [114][1760/1879] lr: 1.0000e-03 eta: 1 day, 8:01:25 time: 0.4362 data_time: 0.0174 memory: 17087 grad_norm: 5.8885 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1726 loss: 1.1726 2022/08/04 11:25:18 - mmengine - INFO - Epoch(train) [114][1780/1879] lr: 1.0000e-03 eta: 1 day, 8:01:16 time: 0.4260 data_time: 0.0138 memory: 17087 grad_norm: 5.7566 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9460 loss: 0.9460 2022/08/04 11:25:26 - mmengine - INFO - Epoch(train) [114][1800/1879] lr: 1.0000e-03 eta: 1 day, 8:01:07 time: 0.4325 data_time: 0.0198 memory: 17087 grad_norm: 5.8054 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0121 loss: 1.0121 2022/08/04 11:25:35 - mmengine - INFO - Epoch(train) [114][1820/1879] lr: 1.0000e-03 eta: 1 day, 8:00:59 time: 0.4271 data_time: 0.0150 memory: 17087 grad_norm: 5.7852 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0488 loss: 1.0488 2022/08/04 11:25:43 - mmengine - INFO - Epoch(train) [114][1840/1879] lr: 1.0000e-03 eta: 1 day, 8:00:50 time: 0.4287 data_time: 0.0157 memory: 17087 grad_norm: 5.6764 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8572 loss: 0.8572 2022/08/04 11:25:52 - mmengine - INFO - Epoch(train) [114][1860/1879] lr: 1.0000e-03 eta: 1 day, 8:00:42 time: 0.4512 data_time: 0.0144 memory: 17087 grad_norm: 5.7217 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0558 loss: 1.0558 2022/08/04 11:26:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 11:26:00 - mmengine - INFO - Epoch(train) [114][1879/1879] lr: 1.0000e-03 eta: 1 day, 8:00:42 time: 0.4071 data_time: 0.0145 memory: 17087 grad_norm: 5.9085 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 0.9210 loss: 0.9210 2022/08/04 11:26:12 - mmengine - INFO - Epoch(train) [115][20/1879] lr: 1.0000e-03 eta: 1 day, 8:00:18 time: 0.5630 data_time: 0.1239 memory: 17087 grad_norm: 5.5727 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9252 loss: 0.9252 2022/08/04 11:26:20 - mmengine - INFO - Epoch(train) [115][40/1879] lr: 1.0000e-03 eta: 1 day, 8:00:09 time: 0.4331 data_time: 0.0204 memory: 17087 grad_norm: 5.7974 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9981 loss: 0.9981 2022/08/04 11:26:29 - mmengine - INFO - Epoch(train) [115][60/1879] lr: 1.0000e-03 eta: 1 day, 8:00:01 time: 0.4269 data_time: 0.0139 memory: 17087 grad_norm: 5.6858 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1780 loss: 1.1780 2022/08/04 11:26:38 - mmengine - INFO - Epoch(train) [115][80/1879] lr: 1.0000e-03 eta: 1 day, 7:59:52 time: 0.4388 data_time: 0.0199 memory: 17087 grad_norm: 5.7680 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0585 loss: 1.0585 2022/08/04 11:26:46 - mmengine - INFO - Epoch(train) [115][100/1879] lr: 1.0000e-03 eta: 1 day, 7:59:43 time: 0.4255 data_time: 0.0141 memory: 17087 grad_norm: 5.6001 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1034 loss: 1.1034 2022/08/04 11:26:55 - mmengine - INFO - Epoch(train) [115][120/1879] lr: 1.0000e-03 eta: 1 day, 7:59:35 time: 0.4305 data_time: 0.0166 memory: 17087 grad_norm: 5.6195 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1196 loss: 1.1196 2022/08/04 11:27:03 - mmengine - INFO - Epoch(train) [115][140/1879] lr: 1.0000e-03 eta: 1 day, 7:59:26 time: 0.4322 data_time: 0.0150 memory: 17087 grad_norm: 5.8567 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0669 loss: 1.0669 2022/08/04 11:27:12 - mmengine - INFO - Epoch(train) [115][160/1879] lr: 1.0000e-03 eta: 1 day, 7:59:17 time: 0.4299 data_time: 0.0170 memory: 17087 grad_norm: 5.8354 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0060 loss: 1.0060 2022/08/04 11:27:21 - mmengine - INFO - Epoch(train) [115][180/1879] lr: 1.0000e-03 eta: 1 day, 7:59:09 time: 0.4587 data_time: 0.0157 memory: 17087 grad_norm: 5.7313 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0648 loss: 1.0648 2022/08/04 11:27:30 - mmengine - INFO - Epoch(train) [115][200/1879] lr: 1.0000e-03 eta: 1 day, 7:59:01 time: 0.4293 data_time: 0.0165 memory: 17087 grad_norm: 5.8458 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0343 loss: 1.0343 2022/08/04 11:27:39 - mmengine - INFO - Epoch(train) [115][220/1879] lr: 1.0000e-03 eta: 1 day, 7:58:53 time: 0.4582 data_time: 0.0189 memory: 17087 grad_norm: 5.7304 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1486 loss: 1.1486 2022/08/04 11:27:47 - mmengine - INFO - Epoch(train) [115][240/1879] lr: 1.0000e-03 eta: 1 day, 7:58:44 time: 0.4285 data_time: 0.0161 memory: 17087 grad_norm: 5.8846 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1739 loss: 1.1739 2022/08/04 11:27:56 - mmengine - INFO - Epoch(train) [115][260/1879] lr: 1.0000e-03 eta: 1 day, 7:58:35 time: 0.4373 data_time: 0.0143 memory: 17087 grad_norm: 5.6331 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0168 loss: 1.0168 2022/08/04 11:28:05 - mmengine - INFO - Epoch(train) [115][280/1879] lr: 1.0000e-03 eta: 1 day, 7:58:27 time: 0.4281 data_time: 0.0156 memory: 17087 grad_norm: 5.8667 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9588 loss: 0.9588 2022/08/04 11:28:13 - mmengine - INFO - Epoch(train) [115][300/1879] lr: 1.0000e-03 eta: 1 day, 7:58:18 time: 0.4269 data_time: 0.0150 memory: 17087 grad_norm: 5.6802 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1095 loss: 1.1095 2022/08/04 11:28:22 - mmengine - INFO - Epoch(train) [115][320/1879] lr: 1.0000e-03 eta: 1 day, 7:58:09 time: 0.4343 data_time: 0.0191 memory: 17087 grad_norm: 5.7051 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0624 loss: 1.0624 2022/08/04 11:28:31 - mmengine - INFO - Epoch(train) [115][340/1879] lr: 1.0000e-03 eta: 1 day, 7:58:01 time: 0.4286 data_time: 0.0150 memory: 17087 grad_norm: 5.8078 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0834 loss: 1.0834 2022/08/04 11:28:39 - mmengine - INFO - Epoch(train) [115][360/1879] lr: 1.0000e-03 eta: 1 day, 7:57:52 time: 0.4289 data_time: 0.0172 memory: 17087 grad_norm: 5.6807 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1192 loss: 1.1192 2022/08/04 11:28:48 - mmengine - INFO - Epoch(train) [115][380/1879] lr: 1.0000e-03 eta: 1 day, 7:57:43 time: 0.4267 data_time: 0.0147 memory: 17087 grad_norm: 5.8018 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0631 loss: 1.0631 2022/08/04 11:28:57 - mmengine - INFO - Epoch(train) [115][400/1879] lr: 1.0000e-03 eta: 1 day, 7:57:35 time: 0.4587 data_time: 0.0179 memory: 17087 grad_norm: 5.6026 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1403 loss: 1.1403 2022/08/04 11:29:06 - mmengine - INFO - Epoch(train) [115][420/1879] lr: 1.0000e-03 eta: 1 day, 7:57:26 time: 0.4266 data_time: 0.0144 memory: 17087 grad_norm: 5.6141 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0820 loss: 1.0820 2022/08/04 11:29:14 - mmengine - INFO - Epoch(train) [115][440/1879] lr: 1.0000e-03 eta: 1 day, 7:57:18 time: 0.4322 data_time: 0.0204 memory: 17087 grad_norm: 5.8101 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0626 loss: 1.0626 2022/08/04 11:29:23 - mmengine - INFO - Epoch(train) [115][460/1879] lr: 1.0000e-03 eta: 1 day, 7:57:09 time: 0.4358 data_time: 0.0154 memory: 17087 grad_norm: 5.6016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1926 loss: 1.1926 2022/08/04 11:29:31 - mmengine - INFO - Epoch(train) [115][480/1879] lr: 1.0000e-03 eta: 1 day, 7:57:00 time: 0.4276 data_time: 0.0162 memory: 17087 grad_norm: 5.7318 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2368 loss: 1.2368 2022/08/04 11:29:40 - mmengine - INFO - Epoch(train) [115][500/1879] lr: 1.0000e-03 eta: 1 day, 7:56:52 time: 0.4408 data_time: 0.0158 memory: 17087 grad_norm: 5.7098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9401 loss: 0.9401 2022/08/04 11:29:49 - mmengine - INFO - Epoch(train) [115][520/1879] lr: 1.0000e-03 eta: 1 day, 7:56:43 time: 0.4320 data_time: 0.0215 memory: 17087 grad_norm: 5.6185 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0287 loss: 1.0287 2022/08/04 11:29:58 - mmengine - INFO - Epoch(train) [115][540/1879] lr: 1.0000e-03 eta: 1 day, 7:56:35 time: 0.4345 data_time: 0.0142 memory: 17087 grad_norm: 5.8597 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0892 loss: 1.0892 2022/08/04 11:30:06 - mmengine - INFO - Epoch(train) [115][560/1879] lr: 1.0000e-03 eta: 1 day, 7:56:26 time: 0.4297 data_time: 0.0162 memory: 17087 grad_norm: 5.8500 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0892 loss: 1.0892 2022/08/04 11:30:15 - mmengine - INFO - Epoch(train) [115][580/1879] lr: 1.0000e-03 eta: 1 day, 7:56:17 time: 0.4283 data_time: 0.0148 memory: 17087 grad_norm: 5.8273 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9147 loss: 0.9147 2022/08/04 11:30:24 - mmengine - INFO - Epoch(train) [115][600/1879] lr: 1.0000e-03 eta: 1 day, 7:56:09 time: 0.4453 data_time: 0.0173 memory: 17087 grad_norm: 5.6483 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2783 loss: 1.2783 2022/08/04 11:30:32 - mmengine - INFO - Epoch(train) [115][620/1879] lr: 1.0000e-03 eta: 1 day, 7:56:01 time: 0.4318 data_time: 0.0204 memory: 17087 grad_norm: 5.5921 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0156 loss: 1.0156 2022/08/04 11:30:41 - mmengine - INFO - Epoch(train) [115][640/1879] lr: 1.0000e-03 eta: 1 day, 7:55:52 time: 0.4338 data_time: 0.0170 memory: 17087 grad_norm: 5.7578 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0749 loss: 1.0749 2022/08/04 11:30:50 - mmengine - INFO - Epoch(train) [115][660/1879] lr: 1.0000e-03 eta: 1 day, 7:55:43 time: 0.4262 data_time: 0.0137 memory: 17087 grad_norm: 5.5045 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0747 loss: 1.0747 2022/08/04 11:30:59 - mmengine - INFO - Epoch(train) [115][680/1879] lr: 1.0000e-03 eta: 1 day, 7:55:35 time: 0.4535 data_time: 0.0184 memory: 17087 grad_norm: 5.7126 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0484 loss: 1.0484 2022/08/04 11:31:07 - mmengine - INFO - Epoch(train) [115][700/1879] lr: 1.0000e-03 eta: 1 day, 7:55:26 time: 0.4306 data_time: 0.0206 memory: 17087 grad_norm: 5.8931 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0374 loss: 1.0374 2022/08/04 11:31:17 - mmengine - INFO - Epoch(train) [115][720/1879] lr: 1.0000e-03 eta: 1 day, 7:55:18 time: 0.4588 data_time: 0.0182 memory: 17087 grad_norm: 5.7599 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1560 loss: 1.1560 2022/08/04 11:31:25 - mmengine - INFO - Epoch(train) [115][740/1879] lr: 1.0000e-03 eta: 1 day, 7:55:10 time: 0.4262 data_time: 0.0165 memory: 17087 grad_norm: 5.8413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2103 loss: 1.2103 2022/08/04 11:31:34 - mmengine - INFO - Epoch(train) [115][760/1879] lr: 1.0000e-03 eta: 1 day, 7:55:01 time: 0.4274 data_time: 0.0180 memory: 17087 grad_norm: 5.5021 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8607 loss: 0.8607 2022/08/04 11:31:43 - mmengine - INFO - Epoch(train) [115][780/1879] lr: 1.0000e-03 eta: 1 day, 7:54:53 time: 0.4486 data_time: 0.0156 memory: 17087 grad_norm: 5.7749 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.9738 loss: 0.9738 2022/08/04 11:31:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 11:31:51 - mmengine - INFO - Epoch(train) [115][800/1879] lr: 1.0000e-03 eta: 1 day, 7:54:44 time: 0.4277 data_time: 0.0157 memory: 17087 grad_norm: 5.7258 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8643 loss: 0.8643 2022/08/04 11:32:00 - mmengine - INFO - Epoch(train) [115][820/1879] lr: 1.0000e-03 eta: 1 day, 7:54:35 time: 0.4294 data_time: 0.0148 memory: 17087 grad_norm: 5.7732 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0671 loss: 1.0671 2022/08/04 11:32:08 - mmengine - INFO - Epoch(train) [115][840/1879] lr: 1.0000e-03 eta: 1 day, 7:54:27 time: 0.4305 data_time: 0.0160 memory: 17087 grad_norm: 5.7633 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9559 loss: 0.9559 2022/08/04 11:32:18 - mmengine - INFO - Epoch(train) [115][860/1879] lr: 1.0000e-03 eta: 1 day, 7:54:18 time: 0.4525 data_time: 0.0159 memory: 17087 grad_norm: 5.6831 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1303 loss: 1.1303 2022/08/04 11:32:26 - mmengine - INFO - Epoch(train) [115][880/1879] lr: 1.0000e-03 eta: 1 day, 7:54:10 time: 0.4299 data_time: 0.0162 memory: 17087 grad_norm: 5.7474 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9560 loss: 0.9560 2022/08/04 11:32:35 - mmengine - INFO - Epoch(train) [115][900/1879] lr: 1.0000e-03 eta: 1 day, 7:54:01 time: 0.4268 data_time: 0.0155 memory: 17087 grad_norm: 5.8917 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0522 loss: 1.0522 2022/08/04 11:32:43 - mmengine - INFO - Epoch(train) [115][920/1879] lr: 1.0000e-03 eta: 1 day, 7:53:52 time: 0.4289 data_time: 0.0163 memory: 17087 grad_norm: 5.7396 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9391 loss: 0.9391 2022/08/04 11:32:52 - mmengine - INFO - Epoch(train) [115][940/1879] lr: 1.0000e-03 eta: 1 day, 7:53:44 time: 0.4279 data_time: 0.0153 memory: 17087 grad_norm: 5.7365 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0756 loss: 1.0756 2022/08/04 11:33:01 - mmengine - INFO - Epoch(train) [115][960/1879] lr: 1.0000e-03 eta: 1 day, 7:53:35 time: 0.4458 data_time: 0.0160 memory: 17087 grad_norm: 5.5300 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0005 loss: 1.0005 2022/08/04 11:33:10 - mmengine - INFO - Epoch(train) [115][980/1879] lr: 1.0000e-03 eta: 1 day, 7:53:27 time: 0.4461 data_time: 0.0165 memory: 17087 grad_norm: 5.8218 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9879 loss: 0.9879 2022/08/04 11:33:18 - mmengine - INFO - Epoch(train) [115][1000/1879] lr: 1.0000e-03 eta: 1 day, 7:53:18 time: 0.4298 data_time: 0.0161 memory: 17087 grad_norm: 5.6386 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9201 loss: 0.9201 2022/08/04 11:33:27 - mmengine - INFO - Epoch(train) [115][1020/1879] lr: 1.0000e-03 eta: 1 day, 7:53:10 time: 0.4498 data_time: 0.0177 memory: 17087 grad_norm: 5.9100 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0234 loss: 1.0234 2022/08/04 11:33:36 - mmengine - INFO - Epoch(train) [115][1040/1879] lr: 1.0000e-03 eta: 1 day, 7:53:01 time: 0.4291 data_time: 0.0144 memory: 17087 grad_norm: 5.7236 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1357 loss: 1.1357 2022/08/04 11:33:45 - mmengine - INFO - Epoch(train) [115][1060/1879] lr: 1.0000e-03 eta: 1 day, 7:52:53 time: 0.4312 data_time: 0.0194 memory: 17087 grad_norm: 5.7616 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8817 loss: 0.8817 2022/08/04 11:33:54 - mmengine - INFO - Epoch(train) [115][1080/1879] lr: 1.0000e-03 eta: 1 day, 7:52:45 time: 0.4557 data_time: 0.0170 memory: 17087 grad_norm: 5.7040 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0307 loss: 1.0307 2022/08/04 11:34:02 - mmengine - INFO - Epoch(train) [115][1100/1879] lr: 1.0000e-03 eta: 1 day, 7:52:36 time: 0.4294 data_time: 0.0171 memory: 17087 grad_norm: 5.6549 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9016 loss: 0.9016 2022/08/04 11:34:11 - mmengine - INFO - Epoch(train) [115][1120/1879] lr: 1.0000e-03 eta: 1 day, 7:52:27 time: 0.4345 data_time: 0.0203 memory: 17087 grad_norm: 5.8702 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8942 loss: 0.8942 2022/08/04 11:34:20 - mmengine - INFO - Epoch(train) [115][1140/1879] lr: 1.0000e-03 eta: 1 day, 7:52:19 time: 0.4269 data_time: 0.0141 memory: 17087 grad_norm: 5.9126 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0046 loss: 1.0046 2022/08/04 11:34:28 - mmengine - INFO - Epoch(train) [115][1160/1879] lr: 1.0000e-03 eta: 1 day, 7:52:10 time: 0.4327 data_time: 0.0184 memory: 17087 grad_norm: 5.9396 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0666 loss: 1.0666 2022/08/04 11:34:37 - mmengine - INFO - Epoch(train) [115][1180/1879] lr: 1.0000e-03 eta: 1 day, 7:52:01 time: 0.4255 data_time: 0.0138 memory: 17087 grad_norm: 5.6152 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0875 loss: 1.0875 2022/08/04 11:34:45 - mmengine - INFO - Epoch(train) [115][1200/1879] lr: 1.0000e-03 eta: 1 day, 7:51:52 time: 0.4284 data_time: 0.0159 memory: 17087 grad_norm: 5.7505 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8338 loss: 0.8338 2022/08/04 11:34:54 - mmengine - INFO - Epoch(train) [115][1220/1879] lr: 1.0000e-03 eta: 1 day, 7:51:44 time: 0.4433 data_time: 0.0148 memory: 17087 grad_norm: 5.7777 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9295 loss: 0.9295 2022/08/04 11:35:03 - mmengine - INFO - Epoch(train) [115][1240/1879] lr: 1.0000e-03 eta: 1 day, 7:51:35 time: 0.4319 data_time: 0.0158 memory: 17087 grad_norm: 5.8126 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8561 loss: 0.8561 2022/08/04 11:35:12 - mmengine - INFO - Epoch(train) [115][1260/1879] lr: 1.0000e-03 eta: 1 day, 7:51:27 time: 0.4346 data_time: 0.0161 memory: 17087 grad_norm: 5.6149 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0731 loss: 1.0731 2022/08/04 11:35:20 - mmengine - INFO - Epoch(train) [115][1280/1879] lr: 1.0000e-03 eta: 1 day, 7:51:18 time: 0.4272 data_time: 0.0152 memory: 17087 grad_norm: 5.6268 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9869 loss: 0.9869 2022/08/04 11:35:29 - mmengine - INFO - Epoch(train) [115][1300/1879] lr: 1.0000e-03 eta: 1 day, 7:51:10 time: 0.4386 data_time: 0.0174 memory: 17087 grad_norm: 5.5827 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0494 loss: 1.0494 2022/08/04 11:35:37 - mmengine - INFO - Epoch(train) [115][1320/1879] lr: 1.0000e-03 eta: 1 day, 7:51:01 time: 0.4279 data_time: 0.0161 memory: 17087 grad_norm: 5.8226 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0159 loss: 1.0159 2022/08/04 11:35:47 - mmengine - INFO - Epoch(train) [115][1340/1879] lr: 1.0000e-03 eta: 1 day, 7:50:53 time: 0.4579 data_time: 0.0156 memory: 17087 grad_norm: 5.8601 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9444 loss: 0.9444 2022/08/04 11:35:55 - mmengine - INFO - Epoch(train) [115][1360/1879] lr: 1.0000e-03 eta: 1 day, 7:50:44 time: 0.4299 data_time: 0.0157 memory: 17087 grad_norm: 5.8448 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0966 loss: 1.0966 2022/08/04 11:36:04 - mmengine - INFO - Epoch(train) [115][1380/1879] lr: 1.0000e-03 eta: 1 day, 7:50:36 time: 0.4314 data_time: 0.0151 memory: 17087 grad_norm: 5.6665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0480 loss: 1.0480 2022/08/04 11:36:13 - mmengine - INFO - Epoch(train) [115][1400/1879] lr: 1.0000e-03 eta: 1 day, 7:50:28 time: 0.4667 data_time: 0.0188 memory: 17087 grad_norm: 5.6849 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9714 loss: 0.9714 2022/08/04 11:36:22 - mmengine - INFO - Epoch(train) [115][1420/1879] lr: 1.0000e-03 eta: 1 day, 7:50:19 time: 0.4270 data_time: 0.0139 memory: 17087 grad_norm: 5.7455 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0694 loss: 1.0694 2022/08/04 11:36:31 - mmengine - INFO - Epoch(train) [115][1440/1879] lr: 1.0000e-03 eta: 1 day, 7:50:11 time: 0.4476 data_time: 0.0254 memory: 17087 grad_norm: 5.6348 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1284 loss: 1.1284 2022/08/04 11:36:39 - mmengine - INFO - Epoch(train) [115][1460/1879] lr: 1.0000e-03 eta: 1 day, 7:50:02 time: 0.4344 data_time: 0.0161 memory: 17087 grad_norm: 5.8356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0479 loss: 1.0479 2022/08/04 11:36:49 - mmengine - INFO - Epoch(train) [115][1480/1879] lr: 1.0000e-03 eta: 1 day, 7:49:54 time: 0.4537 data_time: 0.0159 memory: 17087 grad_norm: 5.8053 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0526 loss: 1.0526 2022/08/04 11:36:57 - mmengine - INFO - Epoch(train) [115][1500/1879] lr: 1.0000e-03 eta: 1 day, 7:49:46 time: 0.4383 data_time: 0.0202 memory: 17087 grad_norm: 5.7082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1147 loss: 1.1147 2022/08/04 11:37:06 - mmengine - INFO - Epoch(train) [115][1520/1879] lr: 1.0000e-03 eta: 1 day, 7:49:37 time: 0.4280 data_time: 0.0162 memory: 17087 grad_norm: 5.7480 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9377 loss: 0.9377 2022/08/04 11:37:14 - mmengine - INFO - Epoch(train) [115][1540/1879] lr: 1.0000e-03 eta: 1 day, 7:49:28 time: 0.4257 data_time: 0.0145 memory: 17087 grad_norm: 5.7333 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9828 loss: 0.9828 2022/08/04 11:37:23 - mmengine - INFO - Epoch(train) [115][1560/1879] lr: 1.0000e-03 eta: 1 day, 7:49:20 time: 0.4498 data_time: 0.0169 memory: 17087 grad_norm: 5.8638 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0810 loss: 1.0810 2022/08/04 11:37:32 - mmengine - INFO - Epoch(train) [115][1580/1879] lr: 1.0000e-03 eta: 1 day, 7:49:11 time: 0.4330 data_time: 0.0198 memory: 17087 grad_norm: 5.6491 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8584 loss: 0.8584 2022/08/04 11:37:41 - mmengine - INFO - Epoch(train) [115][1600/1879] lr: 1.0000e-03 eta: 1 day, 7:49:03 time: 0.4537 data_time: 0.0180 memory: 17087 grad_norm: 5.7451 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1052 loss: 1.1052 2022/08/04 11:37:50 - mmengine - INFO - Epoch(train) [115][1620/1879] lr: 1.0000e-03 eta: 1 day, 7:48:55 time: 0.4299 data_time: 0.0156 memory: 17087 grad_norm: 5.6642 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0782 loss: 1.0782 2022/08/04 11:37:59 - mmengine - INFO - Epoch(train) [115][1640/1879] lr: 1.0000e-03 eta: 1 day, 7:48:46 time: 0.4466 data_time: 0.0168 memory: 17087 grad_norm: 5.7783 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9187 loss: 0.9187 2022/08/04 11:38:07 - mmengine - INFO - Epoch(train) [115][1660/1879] lr: 1.0000e-03 eta: 1 day, 7:48:38 time: 0.4321 data_time: 0.0170 memory: 17087 grad_norm: 5.8072 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1102 loss: 1.1102 2022/08/04 11:38:16 - mmengine - INFO - Epoch(train) [115][1680/1879] lr: 1.0000e-03 eta: 1 day, 7:48:29 time: 0.4315 data_time: 0.0137 memory: 17087 grad_norm: 5.9160 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.2046 loss: 1.2046 2022/08/04 11:38:25 - mmengine - INFO - Epoch(train) [115][1700/1879] lr: 1.0000e-03 eta: 1 day, 7:48:20 time: 0.4301 data_time: 0.0151 memory: 17087 grad_norm: 5.7356 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1425 loss: 1.1425 2022/08/04 11:38:33 - mmengine - INFO - Epoch(train) [115][1720/1879] lr: 1.0000e-03 eta: 1 day, 7:48:12 time: 0.4279 data_time: 0.0153 memory: 17087 grad_norm: 5.8151 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1321 loss: 1.1321 2022/08/04 11:38:42 - mmengine - INFO - Epoch(train) [115][1740/1879] lr: 1.0000e-03 eta: 1 day, 7:48:03 time: 0.4523 data_time: 0.0159 memory: 17087 grad_norm: 5.7970 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8407 loss: 0.8407 2022/08/04 11:38:51 - mmengine - INFO - Epoch(train) [115][1760/1879] lr: 1.0000e-03 eta: 1 day, 7:47:55 time: 0.4291 data_time: 0.0160 memory: 17087 grad_norm: 5.7436 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.1145 loss: 1.1145 2022/08/04 11:39:00 - mmengine - INFO - Epoch(train) [115][1780/1879] lr: 1.0000e-03 eta: 1 day, 7:47:46 time: 0.4454 data_time: 0.0160 memory: 17087 grad_norm: 5.9672 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1144 loss: 1.1144 2022/08/04 11:39:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 11:39:08 - mmengine - INFO - Epoch(train) [115][1800/1879] lr: 1.0000e-03 eta: 1 day, 7:47:38 time: 0.4293 data_time: 0.0176 memory: 17087 grad_norm: 5.7814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9876 loss: 0.9876 2022/08/04 11:39:17 - mmengine - INFO - Epoch(train) [115][1820/1879] lr: 1.0000e-03 eta: 1 day, 7:47:29 time: 0.4336 data_time: 0.0151 memory: 17087 grad_norm: 5.6953 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0825 loss: 1.0825 2022/08/04 11:39:26 - mmengine - INFO - Epoch(train) [115][1840/1879] lr: 1.0000e-03 eta: 1 day, 7:47:20 time: 0.4299 data_time: 0.0163 memory: 17087 grad_norm: 5.7126 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0719 loss: 1.0719 2022/08/04 11:39:35 - mmengine - INFO - Epoch(train) [115][1860/1879] lr: 1.0000e-03 eta: 1 day, 7:47:12 time: 0.4531 data_time: 0.0167 memory: 17087 grad_norm: 5.8151 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9553 loss: 0.9553 2022/08/04 11:39:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 11:39:43 - mmengine - INFO - Epoch(train) [115][1879/1879] lr: 1.0000e-03 eta: 1 day, 7:47:12 time: 0.4112 data_time: 0.0155 memory: 17087 grad_norm: 5.8111 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.9754 loss: 0.9754 2022/08/04 11:39:50 - mmengine - INFO - Epoch(val) [115][20/155] eta: 0:00:49 time: 0.3630 data_time: 0.1946 memory: 2821 2022/08/04 11:39:55 - mmengine - INFO - Epoch(val) [115][40/155] eta: 0:00:27 time: 0.2401 data_time: 0.0707 memory: 2821 2022/08/04 11:40:01 - mmengine - INFO - Epoch(val) [115][60/155] eta: 0:00:29 time: 0.3142 data_time: 0.1407 memory: 2821 2022/08/04 11:40:06 - mmengine - INFO - Epoch(val) [115][80/155] eta: 0:00:19 time: 0.2646 data_time: 0.0979 memory: 2821 2022/08/04 11:40:12 - mmengine - INFO - Epoch(val) [115][100/155] eta: 0:00:16 time: 0.3056 data_time: 0.1390 memory: 2821 2022/08/04 11:40:18 - mmengine - INFO - Epoch(val) [115][120/155] eta: 0:00:09 time: 0.2816 data_time: 0.1149 memory: 2821 2022/08/04 11:40:25 - mmengine - INFO - Epoch(val) [115][140/155] eta: 0:00:04 time: 0.3246 data_time: 0.1573 memory: 2821 2022/08/04 11:40:30 - mmengine - INFO - Epoch(val) [115][155/155] acc/top1: 0.6973 acc/top5: 0.8855 acc/mean1: 0.6972 2022/08/04 11:40:41 - mmengine - INFO - Epoch(train) [116][20/1879] lr: 1.0000e-03 eta: 1 day, 7:46:48 time: 0.5533 data_time: 0.1131 memory: 17087 grad_norm: 5.6421 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9831 loss: 0.9831 2022/08/04 11:40:50 - mmengine - INFO - Epoch(train) [116][40/1879] lr: 1.0000e-03 eta: 1 day, 7:46:40 time: 0.4417 data_time: 0.0215 memory: 17087 grad_norm: 5.7947 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9155 loss: 0.9155 2022/08/04 11:40:58 - mmengine - INFO - Epoch(train) [116][60/1879] lr: 1.0000e-03 eta: 1 day, 7:46:31 time: 0.4276 data_time: 0.0152 memory: 17087 grad_norm: 5.8640 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8620 loss: 0.8620 2022/08/04 11:41:07 - mmengine - INFO - Epoch(train) [116][80/1879] lr: 1.0000e-03 eta: 1 day, 7:46:23 time: 0.4566 data_time: 0.0177 memory: 17087 grad_norm: 5.8612 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9132 loss: 0.9132 2022/08/04 11:41:16 - mmengine - INFO - Epoch(train) [116][100/1879] lr: 1.0000e-03 eta: 1 day, 7:46:14 time: 0.4264 data_time: 0.0149 memory: 17087 grad_norm: 5.8505 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1046 loss: 1.1046 2022/08/04 11:41:24 - mmengine - INFO - Epoch(train) [116][120/1879] lr: 1.0000e-03 eta: 1 day, 7:46:06 time: 0.4274 data_time: 0.0166 memory: 17087 grad_norm: 5.7975 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0003 loss: 1.0003 2022/08/04 11:41:33 - mmengine - INFO - Epoch(train) [116][140/1879] lr: 1.0000e-03 eta: 1 day, 7:45:58 time: 0.4503 data_time: 0.0155 memory: 17087 grad_norm: 5.7326 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0976 loss: 1.0976 2022/08/04 11:41:42 - mmengine - INFO - Epoch(train) [116][160/1879] lr: 1.0000e-03 eta: 1 day, 7:45:49 time: 0.4345 data_time: 0.0163 memory: 17087 grad_norm: 5.8553 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0119 loss: 1.0119 2022/08/04 11:41:51 - mmengine - INFO - Epoch(train) [116][180/1879] lr: 1.0000e-03 eta: 1 day, 7:45:40 time: 0.4270 data_time: 0.0153 memory: 17087 grad_norm: 5.7444 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9567 loss: 0.9567 2022/08/04 11:42:00 - mmengine - INFO - Epoch(train) [116][200/1879] lr: 1.0000e-03 eta: 1 day, 7:45:32 time: 0.4461 data_time: 0.0207 memory: 17087 grad_norm: 6.0425 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1530 loss: 1.1530 2022/08/04 11:42:08 - mmengine - INFO - Epoch(train) [116][220/1879] lr: 1.0000e-03 eta: 1 day, 7:45:23 time: 0.4278 data_time: 0.0151 memory: 17087 grad_norm: 5.9231 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0718 loss: 1.0718 2022/08/04 11:42:17 - mmengine - INFO - Epoch(train) [116][240/1879] lr: 1.0000e-03 eta: 1 day, 7:45:15 time: 0.4299 data_time: 0.0197 memory: 17087 grad_norm: 5.6589 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0503 loss: 1.0503 2022/08/04 11:42:25 - mmengine - INFO - Epoch(train) [116][260/1879] lr: 1.0000e-03 eta: 1 day, 7:45:06 time: 0.4258 data_time: 0.0141 memory: 17087 grad_norm: 5.7160 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9865 loss: 0.9865 2022/08/04 11:42:34 - mmengine - INFO - Epoch(train) [116][280/1879] lr: 1.0000e-03 eta: 1 day, 7:44:57 time: 0.4294 data_time: 0.0147 memory: 17087 grad_norm: 5.7933 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8081 loss: 0.8081 2022/08/04 11:42:43 - mmengine - INFO - Epoch(train) [116][300/1879] lr: 1.0000e-03 eta: 1 day, 7:44:48 time: 0.4294 data_time: 0.0195 memory: 17087 grad_norm: 5.7829 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0003 loss: 1.0003 2022/08/04 11:42:51 - mmengine - INFO - Epoch(train) [116][320/1879] lr: 1.0000e-03 eta: 1 day, 7:44:40 time: 0.4304 data_time: 0.0166 memory: 17087 grad_norm: 5.6116 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1599 loss: 1.1599 2022/08/04 11:43:00 - mmengine - INFO - Epoch(train) [116][340/1879] lr: 1.0000e-03 eta: 1 day, 7:44:31 time: 0.4489 data_time: 0.0158 memory: 17087 grad_norm: 5.6764 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9244 loss: 0.9244 2022/08/04 11:43:10 - mmengine - INFO - Epoch(train) [116][360/1879] lr: 1.0000e-03 eta: 1 day, 7:44:24 time: 0.4754 data_time: 0.0645 memory: 17087 grad_norm: 5.8024 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0928 loss: 1.0928 2022/08/04 11:43:19 - mmengine - INFO - Epoch(train) [116][380/1879] lr: 1.0000e-03 eta: 1 day, 7:44:16 time: 0.4492 data_time: 0.0128 memory: 17087 grad_norm: 5.4781 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0539 loss: 1.0539 2022/08/04 11:43:27 - mmengine - INFO - Epoch(train) [116][400/1879] lr: 1.0000e-03 eta: 1 day, 7:44:07 time: 0.4350 data_time: 0.0208 memory: 17087 grad_norm: 5.7363 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1202 loss: 1.1202 2022/08/04 11:43:36 - mmengine - INFO - Epoch(train) [116][420/1879] lr: 1.0000e-03 eta: 1 day, 7:43:58 time: 0.4269 data_time: 0.0166 memory: 17087 grad_norm: 5.8459 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0555 loss: 1.0555 2022/08/04 11:43:45 - mmengine - INFO - Epoch(train) [116][440/1879] lr: 1.0000e-03 eta: 1 day, 7:43:50 time: 0.4299 data_time: 0.0153 memory: 17087 grad_norm: 5.9118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0814 loss: 1.0814 2022/08/04 11:43:53 - mmengine - INFO - Epoch(train) [116][460/1879] lr: 1.0000e-03 eta: 1 day, 7:43:41 time: 0.4289 data_time: 0.0153 memory: 17087 grad_norm: 5.6978 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0354 loss: 1.0354 2022/08/04 11:44:02 - mmengine - INFO - Epoch(train) [116][480/1879] lr: 1.0000e-03 eta: 1 day, 7:43:32 time: 0.4309 data_time: 0.0175 memory: 17087 grad_norm: 5.7853 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7587 loss: 0.7587 2022/08/04 11:44:10 - mmengine - INFO - Epoch(train) [116][500/1879] lr: 1.0000e-03 eta: 1 day, 7:43:23 time: 0.4264 data_time: 0.0146 memory: 17087 grad_norm: 5.7960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0198 loss: 1.0198 2022/08/04 11:44:19 - mmengine - INFO - Epoch(train) [116][520/1879] lr: 1.0000e-03 eta: 1 day, 7:43:15 time: 0.4347 data_time: 0.0162 memory: 17087 grad_norm: 5.6255 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9993 loss: 0.9993 2022/08/04 11:44:28 - mmengine - INFO - Epoch(train) [116][540/1879] lr: 1.0000e-03 eta: 1 day, 7:43:06 time: 0.4267 data_time: 0.0159 memory: 17087 grad_norm: 5.5915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9375 loss: 0.9375 2022/08/04 11:44:36 - mmengine - INFO - Epoch(train) [116][560/1879] lr: 1.0000e-03 eta: 1 day, 7:42:57 time: 0.4286 data_time: 0.0159 memory: 17087 grad_norm: 5.6345 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0182 loss: 1.0182 2022/08/04 11:44:45 - mmengine - INFO - Epoch(train) [116][580/1879] lr: 1.0000e-03 eta: 1 day, 7:42:49 time: 0.4514 data_time: 0.0139 memory: 17087 grad_norm: 5.7228 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0863 loss: 1.0863 2022/08/04 11:44:54 - mmengine - INFO - Epoch(train) [116][600/1879] lr: 1.0000e-03 eta: 1 day, 7:42:41 time: 0.4314 data_time: 0.0194 memory: 17087 grad_norm: 5.7097 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0203 loss: 1.0203 2022/08/04 11:45:02 - mmengine - INFO - Epoch(train) [116][620/1879] lr: 1.0000e-03 eta: 1 day, 7:42:32 time: 0.4275 data_time: 0.0168 memory: 17087 grad_norm: 5.5106 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9795 loss: 0.9795 2022/08/04 11:45:11 - mmengine - INFO - Epoch(train) [116][640/1879] lr: 1.0000e-03 eta: 1 day, 7:42:23 time: 0.4327 data_time: 0.0194 memory: 17087 grad_norm: 5.8244 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0605 loss: 1.0605 2022/08/04 11:45:20 - mmengine - INFO - Epoch(train) [116][660/1879] lr: 1.0000e-03 eta: 1 day, 7:42:15 time: 0.4267 data_time: 0.0162 memory: 17087 grad_norm: 5.7495 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1394 loss: 1.1394 2022/08/04 11:45:29 - mmengine - INFO - Epoch(train) [116][680/1879] lr: 1.0000e-03 eta: 1 day, 7:42:07 time: 0.4574 data_time: 0.0187 memory: 17087 grad_norm: 5.7875 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0256 loss: 1.0256 2022/08/04 11:45:37 - mmengine - INFO - Epoch(train) [116][700/1879] lr: 1.0000e-03 eta: 1 day, 7:41:58 time: 0.4287 data_time: 0.0153 memory: 17087 grad_norm: 5.9055 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2237 loss: 1.2237 2022/08/04 11:45:46 - mmengine - INFO - Epoch(train) [116][720/1879] lr: 1.0000e-03 eta: 1 day, 7:41:49 time: 0.4278 data_time: 0.0150 memory: 17087 grad_norm: 5.7175 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9854 loss: 0.9854 2022/08/04 11:45:55 - mmengine - INFO - Epoch(train) [116][740/1879] lr: 1.0000e-03 eta: 1 day, 7:41:41 time: 0.4391 data_time: 0.0154 memory: 17087 grad_norm: 5.6149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8354 loss: 0.8354 2022/08/04 11:46:03 - mmengine - INFO - Epoch(train) [116][760/1879] lr: 1.0000e-03 eta: 1 day, 7:41:32 time: 0.4275 data_time: 0.0159 memory: 17087 grad_norm: 5.8218 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9614 loss: 0.9614 2022/08/04 11:46:13 - mmengine - INFO - Epoch(train) [116][780/1879] lr: 1.0000e-03 eta: 1 day, 7:41:24 time: 0.4677 data_time: 0.0171 memory: 17087 grad_norm: 5.7192 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0878 loss: 1.0878 2022/08/04 11:46:21 - mmengine - INFO - Epoch(train) [116][800/1879] lr: 1.0000e-03 eta: 1 day, 7:41:16 time: 0.4350 data_time: 0.0164 memory: 17087 grad_norm: 5.8502 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0545 loss: 1.0545 2022/08/04 11:46:30 - mmengine - INFO - Epoch(train) [116][820/1879] lr: 1.0000e-03 eta: 1 day, 7:41:07 time: 0.4276 data_time: 0.0150 memory: 17087 grad_norm: 6.0142 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2861 loss: 1.2861 2022/08/04 11:46:39 - mmengine - INFO - Epoch(train) [116][840/1879] lr: 1.0000e-03 eta: 1 day, 7:40:59 time: 0.4511 data_time: 0.0190 memory: 17087 grad_norm: 5.7758 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9623 loss: 0.9623 2022/08/04 11:46:48 - mmengine - INFO - Epoch(train) [116][860/1879] lr: 1.0000e-03 eta: 1 day, 7:40:50 time: 0.4263 data_time: 0.0142 memory: 17087 grad_norm: 5.5433 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7923 loss: 0.7923 2022/08/04 11:46:56 - mmengine - INFO - Epoch(train) [116][880/1879] lr: 1.0000e-03 eta: 1 day, 7:40:41 time: 0.4330 data_time: 0.0209 memory: 17087 grad_norm: 5.8567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9873 loss: 0.9873 2022/08/04 11:47:05 - mmengine - INFO - Epoch(train) [116][900/1879] lr: 1.0000e-03 eta: 1 day, 7:40:33 time: 0.4503 data_time: 0.0152 memory: 17087 grad_norm: 5.9291 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0289 loss: 1.0289 2022/08/04 11:47:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 11:47:14 - mmengine - INFO - Epoch(train) [116][920/1879] lr: 1.0000e-03 eta: 1 day, 7:40:24 time: 0.4292 data_time: 0.0159 memory: 17087 grad_norm: 5.6850 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0870 loss: 1.0870 2022/08/04 11:47:23 - mmengine - INFO - Epoch(train) [116][940/1879] lr: 1.0000e-03 eta: 1 day, 7:40:16 time: 0.4346 data_time: 0.0141 memory: 17087 grad_norm: 5.8281 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0003 loss: 1.0003 2022/08/04 11:47:31 - mmengine - INFO - Epoch(train) [116][960/1879] lr: 1.0000e-03 eta: 1 day, 7:40:07 time: 0.4290 data_time: 0.0172 memory: 17087 grad_norm: 5.7702 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0582 loss: 1.0582 2022/08/04 11:47:40 - mmengine - INFO - Epoch(train) [116][980/1879] lr: 1.0000e-03 eta: 1 day, 7:39:59 time: 0.4420 data_time: 0.0149 memory: 17087 grad_norm: 5.9056 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.2262 loss: 1.2262 2022/08/04 11:47:49 - mmengine - INFO - Epoch(train) [116][1000/1879] lr: 1.0000e-03 eta: 1 day, 7:39:50 time: 0.4309 data_time: 0.0173 memory: 17087 grad_norm: 5.6570 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0613 loss: 1.0613 2022/08/04 11:47:57 - mmengine - INFO - Epoch(train) [116][1020/1879] lr: 1.0000e-03 eta: 1 day, 7:39:41 time: 0.4374 data_time: 0.0201 memory: 17087 grad_norm: 5.6891 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9325 loss: 0.9325 2022/08/04 11:48:06 - mmengine - INFO - Epoch(train) [116][1040/1879] lr: 1.0000e-03 eta: 1 day, 7:39:33 time: 0.4273 data_time: 0.0160 memory: 17087 grad_norm: 5.7809 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8656 loss: 0.8656 2022/08/04 11:48:14 - mmengine - INFO - Epoch(train) [116][1060/1879] lr: 1.0000e-03 eta: 1 day, 7:39:24 time: 0.4283 data_time: 0.0153 memory: 17087 grad_norm: 5.8028 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0897 loss: 1.0897 2022/08/04 11:48:23 - mmengine - INFO - Epoch(train) [116][1080/1879] lr: 1.0000e-03 eta: 1 day, 7:39:15 time: 0.4302 data_time: 0.0169 memory: 17087 grad_norm: 5.7499 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8764 loss: 0.8764 2022/08/04 11:48:32 - mmengine - INFO - Epoch(train) [116][1100/1879] lr: 1.0000e-03 eta: 1 day, 7:39:07 time: 0.4309 data_time: 0.0152 memory: 17087 grad_norm: 5.8446 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0172 loss: 1.0172 2022/08/04 11:48:40 - mmengine - INFO - Epoch(train) [116][1120/1879] lr: 1.0000e-03 eta: 1 day, 7:38:58 time: 0.4295 data_time: 0.0178 memory: 17087 grad_norm: 6.0104 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0448 loss: 1.0448 2022/08/04 11:48:49 - mmengine - INFO - Epoch(train) [116][1140/1879] lr: 1.0000e-03 eta: 1 day, 7:38:49 time: 0.4302 data_time: 0.0165 memory: 17087 grad_norm: 5.8652 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9935 loss: 0.9935 2022/08/04 11:48:58 - mmengine - INFO - Epoch(train) [116][1160/1879] lr: 1.0000e-03 eta: 1 day, 7:38:41 time: 0.4285 data_time: 0.0164 memory: 17087 grad_norm: 5.6881 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8082 loss: 0.8082 2022/08/04 11:49:06 - mmengine - INFO - Epoch(train) [116][1180/1879] lr: 1.0000e-03 eta: 1 day, 7:38:32 time: 0.4276 data_time: 0.0150 memory: 17087 grad_norm: 6.0503 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0066 loss: 1.0066 2022/08/04 11:49:15 - mmengine - INFO - Epoch(train) [116][1200/1879] lr: 1.0000e-03 eta: 1 day, 7:38:23 time: 0.4329 data_time: 0.0172 memory: 17087 grad_norm: 5.8648 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9043 loss: 0.9043 2022/08/04 11:49:23 - mmengine - INFO - Epoch(train) [116][1220/1879] lr: 1.0000e-03 eta: 1 day, 7:38:14 time: 0.4278 data_time: 0.0147 memory: 17087 grad_norm: 5.8453 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9944 loss: 0.9944 2022/08/04 11:49:32 - mmengine - INFO - Epoch(train) [116][1240/1879] lr: 1.0000e-03 eta: 1 day, 7:38:06 time: 0.4313 data_time: 0.0157 memory: 17087 grad_norm: 6.1154 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9983 loss: 0.9983 2022/08/04 11:49:41 - mmengine - INFO - Epoch(train) [116][1260/1879] lr: 1.0000e-03 eta: 1 day, 7:37:58 time: 0.4563 data_time: 0.0188 memory: 17087 grad_norm: 5.5520 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9691 loss: 0.9691 2022/08/04 11:49:50 - mmengine - INFO - Epoch(train) [116][1280/1879] lr: 1.0000e-03 eta: 1 day, 7:37:49 time: 0.4317 data_time: 0.0165 memory: 17087 grad_norm: 5.7026 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9979 loss: 0.9979 2022/08/04 11:49:59 - mmengine - INFO - Epoch(train) [116][1300/1879] lr: 1.0000e-03 eta: 1 day, 7:37:41 time: 0.4553 data_time: 0.0197 memory: 17087 grad_norm: 5.9518 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0313 loss: 1.0313 2022/08/04 11:50:07 - mmengine - INFO - Epoch(train) [116][1320/1879] lr: 1.0000e-03 eta: 1 day, 7:37:32 time: 0.4280 data_time: 0.0161 memory: 17087 grad_norm: 5.8906 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0070 loss: 1.0070 2022/08/04 11:50:16 - mmengine - INFO - Epoch(train) [116][1340/1879] lr: 1.0000e-03 eta: 1 day, 7:37:24 time: 0.4334 data_time: 0.0214 memory: 17087 grad_norm: 5.9748 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2131 loss: 1.2131 2022/08/04 11:50:25 - mmengine - INFO - Epoch(train) [116][1360/1879] lr: 1.0000e-03 eta: 1 day, 7:37:16 time: 0.4546 data_time: 0.0161 memory: 17087 grad_norm: 5.8590 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0289 loss: 1.0289 2022/08/04 11:50:34 - mmengine - INFO - Epoch(train) [116][1380/1879] lr: 1.0000e-03 eta: 1 day, 7:37:07 time: 0.4336 data_time: 0.0197 memory: 17087 grad_norm: 6.0919 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0216 loss: 1.0216 2022/08/04 11:50:43 - mmengine - INFO - Epoch(train) [116][1400/1879] lr: 1.0000e-03 eta: 1 day, 7:36:59 time: 0.4656 data_time: 0.0179 memory: 17087 grad_norm: 5.9442 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0285 loss: 1.0285 2022/08/04 11:50:52 - mmengine - INFO - Epoch(train) [116][1420/1879] lr: 1.0000e-03 eta: 1 day, 7:36:50 time: 0.4272 data_time: 0.0156 memory: 17087 grad_norm: 5.8567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0877 loss: 1.0877 2022/08/04 11:51:01 - mmengine - INFO - Epoch(train) [116][1440/1879] lr: 1.0000e-03 eta: 1 day, 7:36:42 time: 0.4409 data_time: 0.0237 memory: 17087 grad_norm: 5.7777 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8594 loss: 0.8594 2022/08/04 11:51:09 - mmengine - INFO - Epoch(train) [116][1460/1879] lr: 1.0000e-03 eta: 1 day, 7:36:33 time: 0.4286 data_time: 0.0167 memory: 17087 grad_norm: 5.8699 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1665 loss: 1.1665 2022/08/04 11:51:18 - mmengine - INFO - Epoch(train) [116][1480/1879] lr: 1.0000e-03 eta: 1 day, 7:36:25 time: 0.4310 data_time: 0.0160 memory: 17087 grad_norm: 5.8151 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9883 loss: 0.9883 2022/08/04 11:51:26 - mmengine - INFO - Epoch(train) [116][1500/1879] lr: 1.0000e-03 eta: 1 day, 7:36:16 time: 0.4276 data_time: 0.0146 memory: 17087 grad_norm: 5.8100 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0430 loss: 1.0430 2022/08/04 11:51:35 - mmengine - INFO - Epoch(train) [116][1520/1879] lr: 1.0000e-03 eta: 1 day, 7:36:07 time: 0.4296 data_time: 0.0184 memory: 17087 grad_norm: 5.7959 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0148 loss: 1.0148 2022/08/04 11:51:44 - mmengine - INFO - Epoch(train) [116][1540/1879] lr: 1.0000e-03 eta: 1 day, 7:35:59 time: 0.4282 data_time: 0.0163 memory: 17087 grad_norm: 5.8361 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9812 loss: 0.9812 2022/08/04 11:51:52 - mmengine - INFO - Epoch(train) [116][1560/1879] lr: 1.0000e-03 eta: 1 day, 7:35:50 time: 0.4304 data_time: 0.0169 memory: 17087 grad_norm: 5.5772 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0531 loss: 1.0531 2022/08/04 11:52:01 - mmengine - INFO - Epoch(train) [116][1580/1879] lr: 1.0000e-03 eta: 1 day, 7:35:41 time: 0.4356 data_time: 0.0155 memory: 17087 grad_norm: 5.9314 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1558 loss: 1.1558 2022/08/04 11:52:10 - mmengine - INFO - Epoch(train) [116][1600/1879] lr: 1.0000e-03 eta: 1 day, 7:35:33 time: 0.4295 data_time: 0.0168 memory: 17087 grad_norm: 5.8661 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9542 loss: 0.9542 2022/08/04 11:52:19 - mmengine - INFO - Epoch(train) [116][1620/1879] lr: 1.0000e-03 eta: 1 day, 7:35:25 time: 0.4665 data_time: 0.0143 memory: 17087 grad_norm: 5.6961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0373 loss: 1.0373 2022/08/04 11:52:27 - mmengine - INFO - Epoch(train) [116][1640/1879] lr: 1.0000e-03 eta: 1 day, 7:35:16 time: 0.4273 data_time: 0.0162 memory: 17087 grad_norm: 5.9079 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0354 loss: 1.0354 2022/08/04 11:52:36 - mmengine - INFO - Epoch(train) [116][1660/1879] lr: 1.0000e-03 eta: 1 day, 7:35:07 time: 0.4304 data_time: 0.0181 memory: 17087 grad_norm: 5.7858 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1217 loss: 1.1217 2022/08/04 11:52:45 - mmengine - INFO - Epoch(train) [116][1680/1879] lr: 1.0000e-03 eta: 1 day, 7:35:00 time: 0.4651 data_time: 0.0169 memory: 17087 grad_norm: 5.8531 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1060 loss: 1.1060 2022/08/04 11:52:54 - mmengine - INFO - Epoch(train) [116][1700/1879] lr: 1.0000e-03 eta: 1 day, 7:34:51 time: 0.4337 data_time: 0.0203 memory: 17087 grad_norm: 5.7449 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0459 loss: 1.0459 2022/08/04 11:53:03 - mmengine - INFO - Epoch(train) [116][1720/1879] lr: 1.0000e-03 eta: 1 day, 7:34:42 time: 0.4324 data_time: 0.0169 memory: 17087 grad_norm: 5.7167 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8678 loss: 0.8678 2022/08/04 11:53:11 - mmengine - INFO - Epoch(train) [116][1740/1879] lr: 1.0000e-03 eta: 1 day, 7:34:34 time: 0.4284 data_time: 0.0157 memory: 17087 grad_norm: 5.6945 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9996 loss: 0.9996 2022/08/04 11:53:20 - mmengine - INFO - Epoch(train) [116][1760/1879] lr: 1.0000e-03 eta: 1 day, 7:34:25 time: 0.4530 data_time: 0.0173 memory: 17087 grad_norm: 5.6853 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8876 loss: 0.8876 2022/08/04 11:53:29 - mmengine - INFO - Epoch(train) [116][1780/1879] lr: 1.0000e-03 eta: 1 day, 7:34:17 time: 0.4367 data_time: 0.0224 memory: 17087 grad_norm: 5.8647 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0507 loss: 1.0507 2022/08/04 11:53:38 - mmengine - INFO - Epoch(train) [116][1800/1879] lr: 1.0000e-03 eta: 1 day, 7:34:08 time: 0.4335 data_time: 0.0154 memory: 17087 grad_norm: 6.0458 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2714 loss: 1.2714 2022/08/04 11:53:46 - mmengine - INFO - Epoch(train) [116][1820/1879] lr: 1.0000e-03 eta: 1 day, 7:34:00 time: 0.4285 data_time: 0.0143 memory: 17087 grad_norm: 5.7505 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.2142 loss: 1.2142 2022/08/04 11:53:55 - mmengine - INFO - Epoch(train) [116][1840/1879] lr: 1.0000e-03 eta: 1 day, 7:33:52 time: 0.4521 data_time: 0.0160 memory: 17087 grad_norm: 5.9919 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.2024 loss: 1.2024 2022/08/04 11:54:04 - mmengine - INFO - Epoch(train) [116][1860/1879] lr: 1.0000e-03 eta: 1 day, 7:33:43 time: 0.4261 data_time: 0.0145 memory: 17087 grad_norm: 5.8222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0346 loss: 1.0346 2022/08/04 11:54:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 11:54:13 - mmengine - INFO - Epoch(train) [116][1879/1879] lr: 1.0000e-03 eta: 1 day, 7:33:43 time: 0.4567 data_time: 0.0225 memory: 17087 grad_norm: 6.1315 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 1.1034 loss: 1.1034 2022/08/04 11:54:13 - mmengine - INFO - Saving checkpoint at 116 epochs 2022/08/04 11:54:27 - mmengine - INFO - Epoch(train) [117][20/1879] lr: 1.0000e-03 eta: 1 day, 7:33:18 time: 0.5247 data_time: 0.1115 memory: 17087 grad_norm: 5.6911 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0924 loss: 1.0924 2022/08/04 11:54:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 11:54:36 - mmengine - INFO - Epoch(train) [117][40/1879] lr: 1.0000e-03 eta: 1 day, 7:33:10 time: 0.4608 data_time: 0.0236 memory: 17087 grad_norm: 5.9041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0025 loss: 1.0025 2022/08/04 11:54:45 - mmengine - INFO - Epoch(train) [117][60/1879] lr: 1.0000e-03 eta: 1 day, 7:33:02 time: 0.4268 data_time: 0.0145 memory: 17087 grad_norm: 5.6565 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0647 loss: 1.0647 2022/08/04 11:54:53 - mmengine - INFO - Epoch(train) [117][80/1879] lr: 1.0000e-03 eta: 1 day, 7:32:53 time: 0.4357 data_time: 0.0169 memory: 17087 grad_norm: 5.8743 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1059 loss: 1.1059 2022/08/04 11:55:02 - mmengine - INFO - Epoch(train) [117][100/1879] lr: 1.0000e-03 eta: 1 day, 7:32:44 time: 0.4286 data_time: 0.0171 memory: 17087 grad_norm: 5.7497 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9667 loss: 0.9667 2022/08/04 11:55:11 - mmengine - INFO - Epoch(train) [117][120/1879] lr: 1.0000e-03 eta: 1 day, 7:32:36 time: 0.4349 data_time: 0.0180 memory: 17087 grad_norm: 5.6946 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8118 loss: 0.8118 2022/08/04 11:55:19 - mmengine - INFO - Epoch(train) [117][140/1879] lr: 1.0000e-03 eta: 1 day, 7:32:27 time: 0.4287 data_time: 0.0146 memory: 17087 grad_norm: 5.5997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9693 loss: 0.9693 2022/08/04 11:55:28 - mmengine - INFO - Epoch(train) [117][160/1879] lr: 1.0000e-03 eta: 1 day, 7:32:19 time: 0.4523 data_time: 0.0170 memory: 17087 grad_norm: 5.9547 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9199 loss: 0.9199 2022/08/04 11:55:37 - mmengine - INFO - Epoch(train) [117][180/1879] lr: 1.0000e-03 eta: 1 day, 7:32:10 time: 0.4260 data_time: 0.0118 memory: 17087 grad_norm: 5.7032 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9276 loss: 0.9276 2022/08/04 11:55:46 - mmengine - INFO - Epoch(train) [117][200/1879] lr: 1.0000e-03 eta: 1 day, 7:32:01 time: 0.4292 data_time: 0.0159 memory: 17087 grad_norm: 5.6345 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9904 loss: 0.9904 2022/08/04 11:55:55 - mmengine - INFO - Epoch(train) [117][220/1879] lr: 1.0000e-03 eta: 1 day, 7:31:53 time: 0.4615 data_time: 0.0163 memory: 17087 grad_norm: 5.9458 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1589 loss: 1.1589 2022/08/04 11:56:03 - mmengine - INFO - Epoch(train) [117][240/1879] lr: 1.0000e-03 eta: 1 day, 7:31:45 time: 0.4277 data_time: 0.0165 memory: 17087 grad_norm: 5.7481 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9939 loss: 0.9939 2022/08/04 11:56:12 - mmengine - INFO - Epoch(train) [117][260/1879] lr: 1.0000e-03 eta: 1 day, 7:31:36 time: 0.4317 data_time: 0.0158 memory: 17087 grad_norm: 5.6939 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.1077 loss: 1.1077 2022/08/04 11:56:21 - mmengine - INFO - Epoch(train) [117][280/1879] lr: 1.0000e-03 eta: 1 day, 7:31:27 time: 0.4272 data_time: 0.0162 memory: 17087 grad_norm: 5.8535 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9867 loss: 0.9867 2022/08/04 11:56:30 - mmengine - INFO - Epoch(train) [117][300/1879] lr: 1.0000e-03 eta: 1 day, 7:31:19 time: 0.4577 data_time: 0.0167 memory: 17087 grad_norm: 5.9320 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9007 loss: 0.9007 2022/08/04 11:56:38 - mmengine - INFO - Epoch(train) [117][320/1879] lr: 1.0000e-03 eta: 1 day, 7:31:11 time: 0.4281 data_time: 0.0161 memory: 17087 grad_norm: 6.0250 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9616 loss: 0.9616 2022/08/04 11:56:47 - mmengine - INFO - Epoch(train) [117][340/1879] lr: 1.0000e-03 eta: 1 day, 7:31:02 time: 0.4268 data_time: 0.0149 memory: 17087 grad_norm: 5.7442 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2090 loss: 1.2090 2022/08/04 11:56:56 - mmengine - INFO - Epoch(train) [117][360/1879] lr: 1.0000e-03 eta: 1 day, 7:30:53 time: 0.4374 data_time: 0.0175 memory: 17087 grad_norm: 5.8812 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8926 loss: 0.8926 2022/08/04 11:57:04 - mmengine - INFO - Epoch(train) [117][380/1879] lr: 1.0000e-03 eta: 1 day, 7:30:45 time: 0.4271 data_time: 0.0147 memory: 17087 grad_norm: 5.8963 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9344 loss: 0.9344 2022/08/04 11:57:13 - mmengine - INFO - Epoch(train) [117][400/1879] lr: 1.0000e-03 eta: 1 day, 7:30:36 time: 0.4487 data_time: 0.0186 memory: 17087 grad_norm: 5.7600 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9125 loss: 0.9125 2022/08/04 11:57:22 - mmengine - INFO - Epoch(train) [117][420/1879] lr: 1.0000e-03 eta: 1 day, 7:30:28 time: 0.4273 data_time: 0.0154 memory: 17087 grad_norm: 5.8637 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9212 loss: 0.9212 2022/08/04 11:57:31 - mmengine - INFO - Epoch(train) [117][440/1879] lr: 1.0000e-03 eta: 1 day, 7:30:20 time: 0.4599 data_time: 0.0168 memory: 17087 grad_norm: 5.8464 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0206 loss: 1.0206 2022/08/04 11:57:39 - mmengine - INFO - Epoch(train) [117][460/1879] lr: 1.0000e-03 eta: 1 day, 7:30:11 time: 0.4264 data_time: 0.0144 memory: 17087 grad_norm: 5.7435 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0347 loss: 1.0347 2022/08/04 11:57:48 - mmengine - INFO - Epoch(train) [117][480/1879] lr: 1.0000e-03 eta: 1 day, 7:30:02 time: 0.4344 data_time: 0.0161 memory: 17087 grad_norm: 5.7948 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9191 loss: 0.9191 2022/08/04 11:57:57 - mmengine - INFO - Epoch(train) [117][500/1879] lr: 1.0000e-03 eta: 1 day, 7:29:54 time: 0.4270 data_time: 0.0133 memory: 17087 grad_norm: 5.8298 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1654 loss: 1.1654 2022/08/04 11:58:05 - mmengine - INFO - Epoch(train) [117][520/1879] lr: 1.0000e-03 eta: 1 day, 7:29:45 time: 0.4281 data_time: 0.0154 memory: 17087 grad_norm: 5.9245 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9181 loss: 0.9181 2022/08/04 11:58:14 - mmengine - INFO - Epoch(train) [117][540/1879] lr: 1.0000e-03 eta: 1 day, 7:29:37 time: 0.4471 data_time: 0.0145 memory: 17087 grad_norm: 6.0018 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0880 loss: 1.0880 2022/08/04 11:58:23 - mmengine - INFO - Epoch(train) [117][560/1879] lr: 1.0000e-03 eta: 1 day, 7:29:28 time: 0.4278 data_time: 0.0175 memory: 17087 grad_norm: 5.8451 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9975 loss: 0.9975 2022/08/04 11:58:32 - mmengine - INFO - Epoch(train) [117][580/1879] lr: 1.0000e-03 eta: 1 day, 7:29:19 time: 0.4468 data_time: 0.0184 memory: 17087 grad_norm: 5.9445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9575 loss: 0.9575 2022/08/04 11:58:40 - mmengine - INFO - Epoch(train) [117][600/1879] lr: 1.0000e-03 eta: 1 day, 7:29:11 time: 0.4278 data_time: 0.0161 memory: 17087 grad_norm: 5.6226 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8776 loss: 0.8776 2022/08/04 11:58:49 - mmengine - INFO - Epoch(train) [117][620/1879] lr: 1.0000e-03 eta: 1 day, 7:29:03 time: 0.4580 data_time: 0.0178 memory: 17087 grad_norm: 6.0225 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1026 loss: 1.1026 2022/08/04 11:58:58 - mmengine - INFO - Epoch(train) [117][640/1879] lr: 1.0000e-03 eta: 1 day, 7:28:54 time: 0.4273 data_time: 0.0152 memory: 17087 grad_norm: 6.0392 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0679 loss: 1.0679 2022/08/04 11:59:07 - mmengine - INFO - Epoch(train) [117][660/1879] lr: 1.0000e-03 eta: 1 day, 7:28:45 time: 0.4319 data_time: 0.0151 memory: 17087 grad_norm: 5.9808 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.2487 loss: 1.2487 2022/08/04 11:59:15 - mmengine - INFO - Epoch(train) [117][680/1879] lr: 1.0000e-03 eta: 1 day, 7:28:37 time: 0.4280 data_time: 0.0159 memory: 17087 grad_norm: 5.9673 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9522 loss: 0.9522 2022/08/04 11:59:24 - mmengine - INFO - Epoch(train) [117][700/1879] lr: 1.0000e-03 eta: 1 day, 7:28:28 time: 0.4517 data_time: 0.0150 memory: 17087 grad_norm: 5.9911 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0263 loss: 1.0263 2022/08/04 11:59:33 - mmengine - INFO - Epoch(train) [117][720/1879] lr: 1.0000e-03 eta: 1 day, 7:28:20 time: 0.4286 data_time: 0.0158 memory: 17087 grad_norm: 6.0551 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1062 loss: 1.1062 2022/08/04 11:59:42 - mmengine - INFO - Epoch(train) [117][740/1879] lr: 1.0000e-03 eta: 1 day, 7:28:11 time: 0.4382 data_time: 0.0137 memory: 17087 grad_norm: 6.0561 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0172 loss: 1.0172 2022/08/04 11:59:50 - mmengine - INFO - Epoch(train) [117][760/1879] lr: 1.0000e-03 eta: 1 day, 7:28:03 time: 0.4283 data_time: 0.0157 memory: 17087 grad_norm: 5.9707 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0954 loss: 1.0954 2022/08/04 11:59:59 - mmengine - INFO - Epoch(train) [117][780/1879] lr: 1.0000e-03 eta: 1 day, 7:27:54 time: 0.4394 data_time: 0.0157 memory: 17087 grad_norm: 5.9874 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9348 loss: 0.9348 2022/08/04 12:00:11 - mmengine - INFO - Epoch(train) [117][800/1879] lr: 1.0000e-03 eta: 1 day, 7:27:49 time: 0.5875 data_time: 0.0278 memory: 17087 grad_norm: 5.7976 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0336 loss: 1.0336 2022/08/04 12:00:20 - mmengine - INFO - Epoch(train) [117][820/1879] lr: 1.0000e-03 eta: 1 day, 7:27:41 time: 0.4424 data_time: 0.0186 memory: 17087 grad_norm: 6.0508 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8908 loss: 0.8908 2022/08/04 12:00:28 - mmengine - INFO - Epoch(train) [117][840/1879] lr: 1.0000e-03 eta: 1 day, 7:27:32 time: 0.4262 data_time: 0.0133 memory: 17087 grad_norm: 5.9446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/08/04 12:00:37 - mmengine - INFO - Epoch(train) [117][860/1879] lr: 1.0000e-03 eta: 1 day, 7:27:23 time: 0.4329 data_time: 0.0210 memory: 17087 grad_norm: 6.0542 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9067 loss: 0.9067 2022/08/04 12:00:46 - mmengine - INFO - Epoch(train) [117][880/1879] lr: 1.0000e-03 eta: 1 day, 7:27:15 time: 0.4490 data_time: 0.0152 memory: 17087 grad_norm: 5.6954 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9098 loss: 0.9098 2022/08/04 12:00:55 - mmengine - INFO - Epoch(train) [117][900/1879] lr: 1.0000e-03 eta: 1 day, 7:27:07 time: 0.4319 data_time: 0.0206 memory: 17087 grad_norm: 5.8526 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1451 loss: 1.1451 2022/08/04 12:01:04 - mmengine - INFO - Epoch(train) [117][920/1879] lr: 1.0000e-03 eta: 1 day, 7:26:58 time: 0.4560 data_time: 0.0153 memory: 17087 grad_norm: 5.7590 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0276 loss: 1.0276 2022/08/04 12:01:12 - mmengine - INFO - Epoch(train) [117][940/1879] lr: 1.0000e-03 eta: 1 day, 7:26:50 time: 0.4356 data_time: 0.0201 memory: 17087 grad_norm: 5.8694 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0022 loss: 1.0022 2022/08/04 12:01:22 - mmengine - INFO - Epoch(train) [117][960/1879] lr: 1.0000e-03 eta: 1 day, 7:26:42 time: 0.4548 data_time: 0.0154 memory: 17087 grad_norm: 5.8354 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9721 loss: 0.9721 2022/08/04 12:01:30 - mmengine - INFO - Epoch(train) [117][980/1879] lr: 1.0000e-03 eta: 1 day, 7:26:33 time: 0.4314 data_time: 0.0163 memory: 17087 grad_norm: 5.7280 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8122 loss: 0.8122 2022/08/04 12:01:39 - mmengine - INFO - Epoch(train) [117][1000/1879] lr: 1.0000e-03 eta: 1 day, 7:26:25 time: 0.4343 data_time: 0.0142 memory: 17087 grad_norm: 5.7881 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9865 loss: 0.9865 2022/08/04 12:01:47 - mmengine - INFO - Epoch(train) [117][1020/1879] lr: 1.0000e-03 eta: 1 day, 7:26:16 time: 0.4269 data_time: 0.0157 memory: 17087 grad_norm: 5.7685 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0676 loss: 1.0676 2022/08/04 12:01:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 12:01:56 - mmengine - INFO - Epoch(train) [117][1040/1879] lr: 1.0000e-03 eta: 1 day, 7:26:08 time: 0.4495 data_time: 0.0152 memory: 17087 grad_norm: 6.0115 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1890 loss: 1.1890 2022/08/04 12:02:05 - mmengine - INFO - Epoch(train) [117][1060/1879] lr: 1.0000e-03 eta: 1 day, 7:25:59 time: 0.4270 data_time: 0.0157 memory: 17087 grad_norm: 5.8877 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8540 loss: 0.8540 2022/08/04 12:02:14 - mmengine - INFO - Epoch(train) [117][1080/1879] lr: 1.0000e-03 eta: 1 day, 7:25:50 time: 0.4267 data_time: 0.0154 memory: 17087 grad_norm: 5.6894 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1393 loss: 1.1393 2022/08/04 12:02:22 - mmengine - INFO - Epoch(train) [117][1100/1879] lr: 1.0000e-03 eta: 1 day, 7:25:41 time: 0.4286 data_time: 0.0166 memory: 17087 grad_norm: 5.9129 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0330 loss: 1.0330 2022/08/04 12:02:31 - mmengine - INFO - Epoch(train) [117][1120/1879] lr: 1.0000e-03 eta: 1 day, 7:25:33 time: 0.4490 data_time: 0.0174 memory: 17087 grad_norm: 5.8105 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0405 loss: 1.0405 2022/08/04 12:02:40 - mmengine - INFO - Epoch(train) [117][1140/1879] lr: 1.0000e-03 eta: 1 day, 7:25:25 time: 0.4313 data_time: 0.0174 memory: 17087 grad_norm: 5.8966 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9364 loss: 0.9364 2022/08/04 12:02:48 - mmengine - INFO - Epoch(train) [117][1160/1879] lr: 1.0000e-03 eta: 1 day, 7:25:16 time: 0.4256 data_time: 0.0138 memory: 17087 grad_norm: 5.8483 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9597 loss: 0.9597 2022/08/04 12:02:57 - mmengine - INFO - Epoch(train) [117][1180/1879] lr: 1.0000e-03 eta: 1 day, 7:25:07 time: 0.4316 data_time: 0.0181 memory: 17087 grad_norm: 5.9854 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0338 loss: 1.0338 2022/08/04 12:03:05 - mmengine - INFO - Epoch(train) [117][1200/1879] lr: 1.0000e-03 eta: 1 day, 7:24:58 time: 0.4262 data_time: 0.0132 memory: 17087 grad_norm: 5.8308 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9886 loss: 0.9886 2022/08/04 12:03:14 - mmengine - INFO - Epoch(train) [117][1220/1879] lr: 1.0000e-03 eta: 1 day, 7:24:50 time: 0.4483 data_time: 0.0167 memory: 17087 grad_norm: 5.8428 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0412 loss: 1.0412 2022/08/04 12:03:23 - mmengine - INFO - Epoch(train) [117][1240/1879] lr: 1.0000e-03 eta: 1 day, 7:24:41 time: 0.4275 data_time: 0.0163 memory: 17087 grad_norm: 6.0042 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1092 loss: 1.1092 2022/08/04 12:03:32 - mmengine - INFO - Epoch(train) [117][1260/1879] lr: 1.0000e-03 eta: 1 day, 7:24:33 time: 0.4291 data_time: 0.0172 memory: 17087 grad_norm: 5.8139 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.3536 loss: 1.3536 2022/08/04 12:03:40 - mmengine - INFO - Epoch(train) [117][1280/1879] lr: 1.0000e-03 eta: 1 day, 7:24:24 time: 0.4267 data_time: 0.0150 memory: 17087 grad_norm: 5.8315 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9741 loss: 0.9741 2022/08/04 12:03:49 - mmengine - INFO - Epoch(train) [117][1300/1879] lr: 1.0000e-03 eta: 1 day, 7:24:16 time: 0.4606 data_time: 0.0154 memory: 17087 grad_norm: 5.5937 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9315 loss: 0.9315 2022/08/04 12:03:58 - mmengine - INFO - Epoch(train) [117][1320/1879] lr: 1.0000e-03 eta: 1 day, 7:24:07 time: 0.4305 data_time: 0.0151 memory: 17087 grad_norm: 5.7652 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1063 loss: 1.1063 2022/08/04 12:04:07 - mmengine - INFO - Epoch(train) [117][1340/1879] lr: 1.0000e-03 eta: 1 day, 7:23:59 time: 0.4308 data_time: 0.0165 memory: 17087 grad_norm: 5.6679 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9553 loss: 0.9553 2022/08/04 12:04:15 - mmengine - INFO - Epoch(train) [117][1360/1879] lr: 1.0000e-03 eta: 1 day, 7:23:50 time: 0.4257 data_time: 0.0140 memory: 17087 grad_norm: 5.8322 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0494 loss: 1.0494 2022/08/04 12:04:24 - mmengine - INFO - Epoch(train) [117][1380/1879] lr: 1.0000e-03 eta: 1 day, 7:23:41 time: 0.4350 data_time: 0.0188 memory: 17087 grad_norm: 5.9650 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9686 loss: 0.9686 2022/08/04 12:04:32 - mmengine - INFO - Epoch(train) [117][1400/1879] lr: 1.0000e-03 eta: 1 day, 7:23:32 time: 0.4250 data_time: 0.0160 memory: 17087 grad_norm: 5.8953 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0339 loss: 1.0339 2022/08/04 12:04:41 - mmengine - INFO - Epoch(train) [117][1420/1879] lr: 1.0000e-03 eta: 1 day, 7:23:24 time: 0.4491 data_time: 0.0165 memory: 17087 grad_norm: 6.0466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9630 loss: 0.9630 2022/08/04 12:04:50 - mmengine - INFO - Epoch(train) [117][1440/1879] lr: 1.0000e-03 eta: 1 day, 7:23:15 time: 0.4266 data_time: 0.0142 memory: 17087 grad_norm: 5.7560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0174 loss: 1.0174 2022/08/04 12:04:58 - mmengine - INFO - Epoch(train) [117][1460/1879] lr: 1.0000e-03 eta: 1 day, 7:23:07 time: 0.4281 data_time: 0.0167 memory: 17087 grad_norm: 5.8552 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8990 loss: 0.8990 2022/08/04 12:05:07 - mmengine - INFO - Epoch(train) [117][1480/1879] lr: 1.0000e-03 eta: 1 day, 7:22:58 time: 0.4284 data_time: 0.0152 memory: 17087 grad_norm: 5.9226 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0624 loss: 1.0624 2022/08/04 12:05:16 - mmengine - INFO - Epoch(train) [117][1500/1879] lr: 1.0000e-03 eta: 1 day, 7:22:50 time: 0.4538 data_time: 0.0168 memory: 17087 grad_norm: 6.0400 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1137 loss: 1.1137 2022/08/04 12:05:25 - mmengine - INFO - Epoch(train) [117][1520/1879] lr: 1.0000e-03 eta: 1 day, 7:22:41 time: 0.4262 data_time: 0.0133 memory: 17087 grad_norm: 5.8038 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0431 loss: 1.0431 2022/08/04 12:05:33 - mmengine - INFO - Epoch(train) [117][1540/1879] lr: 1.0000e-03 eta: 1 day, 7:22:32 time: 0.4339 data_time: 0.0180 memory: 17087 grad_norm: 5.9417 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0897 loss: 1.0897 2022/08/04 12:05:42 - mmengine - INFO - Epoch(train) [117][1560/1879] lr: 1.0000e-03 eta: 1 day, 7:22:24 time: 0.4373 data_time: 0.0178 memory: 17087 grad_norm: 5.8749 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0299 loss: 1.0299 2022/08/04 12:05:51 - mmengine - INFO - Epoch(train) [117][1580/1879] lr: 1.0000e-03 eta: 1 day, 7:22:15 time: 0.4388 data_time: 0.0221 memory: 17087 grad_norm: 5.8515 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.1246 loss: 1.1246 2022/08/04 12:06:00 - mmengine - INFO - Epoch(train) [117][1600/1879] lr: 1.0000e-03 eta: 1 day, 7:22:07 time: 0.4457 data_time: 0.0164 memory: 17087 grad_norm: 5.7816 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1213 loss: 1.1213 2022/08/04 12:06:08 - mmengine - INFO - Epoch(train) [117][1620/1879] lr: 1.0000e-03 eta: 1 day, 7:21:58 time: 0.4282 data_time: 0.0165 memory: 17087 grad_norm: 5.8023 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8196 loss: 0.8196 2022/08/04 12:06:17 - mmengine - INFO - Epoch(train) [117][1640/1879] lr: 1.0000e-03 eta: 1 day, 7:21:50 time: 0.4342 data_time: 0.0194 memory: 17087 grad_norm: 5.8377 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0759 loss: 1.0759 2022/08/04 12:06:26 - mmengine - INFO - Epoch(train) [117][1660/1879] lr: 1.0000e-03 eta: 1 day, 7:21:41 time: 0.4302 data_time: 0.0166 memory: 17087 grad_norm: 5.8185 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9690 loss: 0.9690 2022/08/04 12:06:35 - mmengine - INFO - Epoch(train) [117][1680/1879] lr: 1.0000e-03 eta: 1 day, 7:21:33 time: 0.4377 data_time: 0.0152 memory: 17087 grad_norm: 5.8697 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0848 loss: 1.0848 2022/08/04 12:06:43 - mmengine - INFO - Epoch(train) [117][1700/1879] lr: 1.0000e-03 eta: 1 day, 7:21:24 time: 0.4283 data_time: 0.0170 memory: 17087 grad_norm: 5.9517 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9471 loss: 0.9471 2022/08/04 12:06:52 - mmengine - INFO - Epoch(train) [117][1720/1879] lr: 1.0000e-03 eta: 1 day, 7:21:15 time: 0.4328 data_time: 0.0154 memory: 17087 grad_norm: 5.9602 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9223 loss: 0.9223 2022/08/04 12:07:00 - mmengine - INFO - Epoch(train) [117][1740/1879] lr: 1.0000e-03 eta: 1 day, 7:21:07 time: 0.4311 data_time: 0.0165 memory: 17087 grad_norm: 5.7219 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9893 loss: 0.9893 2022/08/04 12:07:09 - mmengine - INFO - Epoch(train) [117][1760/1879] lr: 1.0000e-03 eta: 1 day, 7:20:58 time: 0.4297 data_time: 0.0139 memory: 17087 grad_norm: 6.0240 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0491 loss: 1.0491 2022/08/04 12:07:18 - mmengine - INFO - Epoch(train) [117][1780/1879] lr: 1.0000e-03 eta: 1 day, 7:20:49 time: 0.4276 data_time: 0.0174 memory: 17087 grad_norm: 5.6697 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0494 loss: 1.0494 2022/08/04 12:07:26 - mmengine - INFO - Epoch(train) [117][1800/1879] lr: 1.0000e-03 eta: 1 day, 7:20:41 time: 0.4272 data_time: 0.0147 memory: 17087 grad_norm: 5.8244 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0007 loss: 1.0007 2022/08/04 12:07:35 - mmengine - INFO - Epoch(train) [117][1820/1879] lr: 1.0000e-03 eta: 1 day, 7:20:32 time: 0.4302 data_time: 0.0177 memory: 17087 grad_norm: 5.9890 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9984 loss: 0.9984 2022/08/04 12:07:44 - mmengine - INFO - Epoch(train) [117][1840/1879] lr: 1.0000e-03 eta: 1 day, 7:20:24 time: 0.4494 data_time: 0.0150 memory: 17087 grad_norm: 5.8937 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0873 loss: 1.0873 2022/08/04 12:07:52 - mmengine - INFO - Epoch(train) [117][1860/1879] lr: 1.0000e-03 eta: 1 day, 7:20:15 time: 0.4303 data_time: 0.0164 memory: 17087 grad_norm: 5.7053 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9220 loss: 0.9220 2022/08/04 12:08:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 12:08:01 - mmengine - INFO - Epoch(train) [117][1879/1879] lr: 1.0000e-03 eta: 1 day, 7:20:15 time: 0.4323 data_time: 0.0137 memory: 17087 grad_norm: 5.7610 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9878 loss: 0.9878 2022/08/04 12:08:12 - mmengine - INFO - Epoch(train) [118][20/1879] lr: 1.0000e-03 eta: 1 day, 7:19:51 time: 0.5641 data_time: 0.1366 memory: 17087 grad_norm: 5.8046 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8887 loss: 0.8887 2022/08/04 12:08:21 - mmengine - INFO - Epoch(train) [118][40/1879] lr: 1.0000e-03 eta: 1 day, 7:19:43 time: 0.4368 data_time: 0.0177 memory: 17087 grad_norm: 5.7829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9827 loss: 0.9827 2022/08/04 12:08:29 - mmengine - INFO - Epoch(train) [118][60/1879] lr: 1.0000e-03 eta: 1 day, 7:19:34 time: 0.4261 data_time: 0.0147 memory: 17087 grad_norm: 5.6607 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9662 loss: 0.9662 2022/08/04 12:08:38 - mmengine - INFO - Epoch(train) [118][80/1879] lr: 1.0000e-03 eta: 1 day, 7:19:25 time: 0.4261 data_time: 0.0159 memory: 17087 grad_norm: 6.0036 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0007 loss: 1.0007 2022/08/04 12:08:47 - mmengine - INFO - Epoch(train) [118][100/1879] lr: 1.0000e-03 eta: 1 day, 7:19:17 time: 0.4428 data_time: 0.0169 memory: 17087 grad_norm: 5.8965 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0143 loss: 1.0143 2022/08/04 12:08:55 - mmengine - INFO - Epoch(train) [118][120/1879] lr: 1.0000e-03 eta: 1 day, 7:19:08 time: 0.4291 data_time: 0.0156 memory: 17087 grad_norm: 5.8345 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0359 loss: 1.0359 2022/08/04 12:09:04 - mmengine - INFO - Epoch(train) [118][140/1879] lr: 1.0000e-03 eta: 1 day, 7:19:00 time: 0.4336 data_time: 0.0160 memory: 17087 grad_norm: 5.8331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9395 loss: 0.9395 2022/08/04 12:09:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 12:09:13 - mmengine - INFO - Epoch(train) [118][160/1879] lr: 1.0000e-03 eta: 1 day, 7:18:51 time: 0.4278 data_time: 0.0157 memory: 17087 grad_norm: 5.7389 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8709 loss: 0.8709 2022/08/04 12:09:22 - mmengine - INFO - Epoch(train) [118][180/1879] lr: 1.0000e-03 eta: 1 day, 7:18:43 time: 0.4717 data_time: 0.0202 memory: 17087 grad_norm: 5.8156 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8759 loss: 0.8759 2022/08/04 12:09:31 - mmengine - INFO - Epoch(train) [118][200/1879] lr: 1.0000e-03 eta: 1 day, 7:18:35 time: 0.4306 data_time: 0.0165 memory: 17087 grad_norm: 5.8953 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0275 loss: 1.0275 2022/08/04 12:09:39 - mmengine - INFO - Epoch(train) [118][220/1879] lr: 1.0000e-03 eta: 1 day, 7:18:26 time: 0.4425 data_time: 0.0149 memory: 17087 grad_norm: 5.7460 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9156 loss: 0.9156 2022/08/04 12:09:48 - mmengine - INFO - Epoch(train) [118][240/1879] lr: 1.0000e-03 eta: 1 day, 7:18:18 time: 0.4302 data_time: 0.0172 memory: 17087 grad_norm: 5.6996 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0336 loss: 1.0336 2022/08/04 12:09:57 - mmengine - INFO - Epoch(train) [118][260/1879] lr: 1.0000e-03 eta: 1 day, 7:18:09 time: 0.4279 data_time: 0.0165 memory: 17087 grad_norm: 5.8329 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9648 loss: 0.9648 2022/08/04 12:10:06 - mmengine - INFO - Epoch(train) [118][280/1879] lr: 1.0000e-03 eta: 1 day, 7:18:01 time: 0.4513 data_time: 0.0177 memory: 17087 grad_norm: 6.0273 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0634 loss: 1.0634 2022/08/04 12:10:14 - mmengine - INFO - Epoch(train) [118][300/1879] lr: 1.0000e-03 eta: 1 day, 7:17:52 time: 0.4296 data_time: 0.0159 memory: 17087 grad_norm: 5.6649 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9157 loss: 0.9157 2022/08/04 12:10:24 - mmengine - INFO - Epoch(train) [118][320/1879] lr: 1.0000e-03 eta: 1 day, 7:17:45 time: 0.4817 data_time: 0.0172 memory: 17087 grad_norm: 5.8369 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1267 loss: 1.1267 2022/08/04 12:10:33 - mmengine - INFO - Epoch(train) [118][340/1879] lr: 1.0000e-03 eta: 1 day, 7:17:36 time: 0.4281 data_time: 0.0154 memory: 17087 grad_norm: 6.0643 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9769 loss: 0.9769 2022/08/04 12:10:42 - mmengine - INFO - Epoch(train) [118][360/1879] lr: 1.0000e-03 eta: 1 day, 7:17:28 time: 0.4715 data_time: 0.0171 memory: 17087 grad_norm: 5.9659 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9289 loss: 0.9289 2022/08/04 12:10:50 - mmengine - INFO - Epoch(train) [118][380/1879] lr: 1.0000e-03 eta: 1 day, 7:17:19 time: 0.4270 data_time: 0.0166 memory: 17087 grad_norm: 5.6859 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8966 loss: 0.8966 2022/08/04 12:10:59 - mmengine - INFO - Epoch(train) [118][400/1879] lr: 1.0000e-03 eta: 1 day, 7:17:11 time: 0.4279 data_time: 0.0153 memory: 17087 grad_norm: 5.7049 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7696 loss: 0.7696 2022/08/04 12:11:08 - mmengine - INFO - Epoch(train) [118][420/1879] lr: 1.0000e-03 eta: 1 day, 7:17:02 time: 0.4530 data_time: 0.0165 memory: 17087 grad_norm: 5.9734 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1696 loss: 1.1696 2022/08/04 12:11:17 - mmengine - INFO - Epoch(train) [118][440/1879] lr: 1.0000e-03 eta: 1 day, 7:16:54 time: 0.4323 data_time: 0.0201 memory: 17087 grad_norm: 5.8837 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9766 loss: 0.9766 2022/08/04 12:11:26 - mmengine - INFO - Epoch(train) [118][460/1879] lr: 1.0000e-03 eta: 1 day, 7:16:46 time: 0.4744 data_time: 0.0167 memory: 17087 grad_norm: 5.9047 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9848 loss: 0.9848 2022/08/04 12:11:35 - mmengine - INFO - Epoch(train) [118][480/1879] lr: 1.0000e-03 eta: 1 day, 7:16:37 time: 0.4292 data_time: 0.0170 memory: 17087 grad_norm: 5.8824 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9912 loss: 0.9912 2022/08/04 12:11:44 - mmengine - INFO - Epoch(train) [118][500/1879] lr: 1.0000e-03 eta: 1 day, 7:16:30 time: 0.4670 data_time: 0.0169 memory: 17087 grad_norm: 5.8564 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1093 loss: 1.1093 2022/08/04 12:11:53 - mmengine - INFO - Epoch(train) [118][520/1879] lr: 1.0000e-03 eta: 1 day, 7:16:21 time: 0.4331 data_time: 0.0206 memory: 17087 grad_norm: 5.8505 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0132 loss: 1.0132 2022/08/04 12:12:02 - mmengine - INFO - Epoch(train) [118][540/1879] lr: 1.0000e-03 eta: 1 day, 7:16:12 time: 0.4312 data_time: 0.0161 memory: 17087 grad_norm: 5.7795 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0141 loss: 1.0141 2022/08/04 12:12:11 - mmengine - INFO - Epoch(train) [118][560/1879] lr: 1.0000e-03 eta: 1 day, 7:16:04 time: 0.4553 data_time: 0.0153 memory: 17087 grad_norm: 5.8320 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9967 loss: 0.9967 2022/08/04 12:12:19 - mmengine - INFO - Epoch(train) [118][580/1879] lr: 1.0000e-03 eta: 1 day, 7:15:56 time: 0.4261 data_time: 0.0147 memory: 17087 grad_norm: 5.6795 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0370 loss: 1.0370 2022/08/04 12:12:28 - mmengine - INFO - Epoch(train) [118][600/1879] lr: 1.0000e-03 eta: 1 day, 7:15:47 time: 0.4278 data_time: 0.0161 memory: 17087 grad_norm: 5.8655 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0464 loss: 1.0464 2022/08/04 12:12:37 - mmengine - INFO - Epoch(train) [118][620/1879] lr: 1.0000e-03 eta: 1 day, 7:15:39 time: 0.4450 data_time: 0.0155 memory: 17087 grad_norm: 5.7035 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8889 loss: 0.8889 2022/08/04 12:12:45 - mmengine - INFO - Epoch(train) [118][640/1879] lr: 1.0000e-03 eta: 1 day, 7:15:30 time: 0.4296 data_time: 0.0164 memory: 17087 grad_norm: 5.8857 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0520 loss: 1.0520 2022/08/04 12:12:54 - mmengine - INFO - Epoch(train) [118][660/1879] lr: 1.0000e-03 eta: 1 day, 7:15:21 time: 0.4402 data_time: 0.0183 memory: 17087 grad_norm: 5.8258 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8993 loss: 0.8993 2022/08/04 12:13:03 - mmengine - INFO - Epoch(train) [118][680/1879] lr: 1.0000e-03 eta: 1 day, 7:15:13 time: 0.4292 data_time: 0.0166 memory: 17087 grad_norm: 5.8234 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9539 loss: 0.9539 2022/08/04 12:13:12 - mmengine - INFO - Epoch(train) [118][700/1879] lr: 1.0000e-03 eta: 1 day, 7:15:05 time: 0.4584 data_time: 0.0157 memory: 17087 grad_norm: 5.7685 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0028 loss: 1.0028 2022/08/04 12:13:21 - mmengine - INFO - Epoch(train) [118][720/1879] lr: 1.0000e-03 eta: 1 day, 7:14:56 time: 0.4292 data_time: 0.0160 memory: 17087 grad_norm: 6.0242 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0705 loss: 1.0705 2022/08/04 12:13:29 - mmengine - INFO - Epoch(train) [118][740/1879] lr: 1.0000e-03 eta: 1 day, 7:14:47 time: 0.4265 data_time: 0.0154 memory: 17087 grad_norm: 5.8972 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0781 loss: 1.0781 2022/08/04 12:13:38 - mmengine - INFO - Epoch(train) [118][760/1879] lr: 1.0000e-03 eta: 1 day, 7:14:39 time: 0.4305 data_time: 0.0167 memory: 17087 grad_norm: 5.8804 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0188 loss: 1.0188 2022/08/04 12:13:46 - mmengine - INFO - Epoch(train) [118][780/1879] lr: 1.0000e-03 eta: 1 day, 7:14:30 time: 0.4265 data_time: 0.0159 memory: 17087 grad_norm: 5.9498 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1165 loss: 1.1165 2022/08/04 12:13:55 - mmengine - INFO - Epoch(train) [118][800/1879] lr: 1.0000e-03 eta: 1 day, 7:14:22 time: 0.4502 data_time: 0.0166 memory: 17087 grad_norm: 5.6958 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0555 loss: 1.0555 2022/08/04 12:14:04 - mmengine - INFO - Epoch(train) [118][820/1879] lr: 1.0000e-03 eta: 1 day, 7:14:13 time: 0.4265 data_time: 0.0147 memory: 17087 grad_norm: 5.8939 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1363 loss: 1.1363 2022/08/04 12:14:12 - mmengine - INFO - Epoch(train) [118][840/1879] lr: 1.0000e-03 eta: 1 day, 7:14:04 time: 0.4326 data_time: 0.0160 memory: 17087 grad_norm: 5.8758 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9376 loss: 0.9376 2022/08/04 12:14:21 - mmengine - INFO - Epoch(train) [118][860/1879] lr: 1.0000e-03 eta: 1 day, 7:13:55 time: 0.4310 data_time: 0.0144 memory: 17087 grad_norm: 5.9269 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9658 loss: 0.9658 2022/08/04 12:14:30 - mmengine - INFO - Epoch(train) [118][880/1879] lr: 1.0000e-03 eta: 1 day, 7:13:47 time: 0.4320 data_time: 0.0164 memory: 17087 grad_norm: 5.9422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9824 loss: 0.9824 2022/08/04 12:14:38 - mmengine - INFO - Epoch(train) [118][900/1879] lr: 1.0000e-03 eta: 1 day, 7:13:38 time: 0.4284 data_time: 0.0140 memory: 17087 grad_norm: 5.9155 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0648 loss: 1.0648 2022/08/04 12:14:47 - mmengine - INFO - Epoch(train) [118][920/1879] lr: 1.0000e-03 eta: 1 day, 7:13:29 time: 0.4264 data_time: 0.0147 memory: 17087 grad_norm: 5.9281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0979 loss: 1.0979 2022/08/04 12:14:56 - mmengine - INFO - Epoch(train) [118][940/1879] lr: 1.0000e-03 eta: 1 day, 7:13:21 time: 0.4346 data_time: 0.0157 memory: 17087 grad_norm: 5.9145 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0578 loss: 1.0578 2022/08/04 12:15:04 - mmengine - INFO - Epoch(train) [118][960/1879] lr: 1.0000e-03 eta: 1 day, 7:13:12 time: 0.4292 data_time: 0.0162 memory: 17087 grad_norm: 6.0519 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1717 loss: 1.1717 2022/08/04 12:15:13 - mmengine - INFO - Epoch(train) [118][980/1879] lr: 1.0000e-03 eta: 1 day, 7:13:04 time: 0.4530 data_time: 0.0169 memory: 17087 grad_norm: 5.7205 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9245 loss: 0.9245 2022/08/04 12:15:22 - mmengine - INFO - Epoch(train) [118][1000/1879] lr: 1.0000e-03 eta: 1 day, 7:12:55 time: 0.4286 data_time: 0.0157 memory: 17087 grad_norm: 5.9188 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9062 loss: 0.9062 2022/08/04 12:15:31 - mmengine - INFO - Epoch(train) [118][1020/1879] lr: 1.0000e-03 eta: 1 day, 7:12:47 time: 0.4353 data_time: 0.0147 memory: 17087 grad_norm: 5.7345 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9009 loss: 0.9009 2022/08/04 12:15:39 - mmengine - INFO - Epoch(train) [118][1040/1879] lr: 1.0000e-03 eta: 1 day, 7:12:38 time: 0.4276 data_time: 0.0161 memory: 17087 grad_norm: 5.7694 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9704 loss: 0.9704 2022/08/04 12:15:48 - mmengine - INFO - Epoch(train) [118][1060/1879] lr: 1.0000e-03 eta: 1 day, 7:12:29 time: 0.4275 data_time: 0.0150 memory: 17087 grad_norm: 5.9744 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1212 loss: 1.1212 2022/08/04 12:15:57 - mmengine - INFO - Epoch(train) [118][1080/1879] lr: 1.0000e-03 eta: 1 day, 7:12:21 time: 0.4524 data_time: 0.0168 memory: 17087 grad_norm: 5.9785 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9452 loss: 0.9452 2022/08/04 12:16:05 - mmengine - INFO - Epoch(train) [118][1100/1879] lr: 1.0000e-03 eta: 1 day, 7:12:12 time: 0.4312 data_time: 0.0178 memory: 17087 grad_norm: 5.9865 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0812 loss: 1.0812 2022/08/04 12:16:15 - mmengine - INFO - Epoch(train) [118][1120/1879] lr: 1.0000e-03 eta: 1 day, 7:12:04 time: 0.4623 data_time: 0.0163 memory: 17087 grad_norm: 6.0241 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0415 loss: 1.0415 2022/08/04 12:16:23 - mmengine - INFO - Epoch(train) [118][1140/1879] lr: 1.0000e-03 eta: 1 day, 7:11:56 time: 0.4321 data_time: 0.0205 memory: 17087 grad_norm: 5.8251 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0379 loss: 1.0379 2022/08/04 12:16:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 12:16:32 - mmengine - INFO - Epoch(train) [118][1160/1879] lr: 1.0000e-03 eta: 1 day, 7:11:47 time: 0.4386 data_time: 0.0165 memory: 17087 grad_norm: 5.8349 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0241 loss: 1.0241 2022/08/04 12:16:41 - mmengine - INFO - Epoch(train) [118][1180/1879] lr: 1.0000e-03 eta: 1 day, 7:11:39 time: 0.4294 data_time: 0.0147 memory: 17087 grad_norm: 5.8071 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7565 loss: 0.7565 2022/08/04 12:16:49 - mmengine - INFO - Epoch(train) [118][1200/1879] lr: 1.0000e-03 eta: 1 day, 7:11:30 time: 0.4287 data_time: 0.0168 memory: 17087 grad_norm: 5.7879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9650 loss: 0.9650 2022/08/04 12:16:58 - mmengine - INFO - Epoch(train) [118][1220/1879] lr: 1.0000e-03 eta: 1 day, 7:11:22 time: 0.4579 data_time: 0.0174 memory: 17087 grad_norm: 5.9118 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0460 loss: 1.0460 2022/08/04 12:17:07 - mmengine - INFO - Epoch(train) [118][1240/1879] lr: 1.0000e-03 eta: 1 day, 7:11:13 time: 0.4346 data_time: 0.0164 memory: 17087 grad_norm: 5.6201 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8677 loss: 0.8677 2022/08/04 12:17:16 - mmengine - INFO - Epoch(train) [118][1260/1879] lr: 1.0000e-03 eta: 1 day, 7:11:05 time: 0.4487 data_time: 0.0157 memory: 17087 grad_norm: 5.8567 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9283 loss: 0.9283 2022/08/04 12:17:25 - mmengine - INFO - Epoch(train) [118][1280/1879] lr: 1.0000e-03 eta: 1 day, 7:10:57 time: 0.4353 data_time: 0.0177 memory: 17087 grad_norm: 5.9159 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9335 loss: 0.9335 2022/08/04 12:17:34 - mmengine - INFO - Epoch(train) [118][1300/1879] lr: 1.0000e-03 eta: 1 day, 7:10:48 time: 0.4476 data_time: 0.0156 memory: 17087 grad_norm: 5.9200 top1_acc: 0.3125 top5_acc: 0.6250 loss_cls: 1.1556 loss: 1.1556 2022/08/04 12:17:43 - mmengine - INFO - Epoch(train) [118][1320/1879] lr: 1.0000e-03 eta: 1 day, 7:10:40 time: 0.4370 data_time: 0.0151 memory: 17087 grad_norm: 5.7656 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0056 loss: 1.0056 2022/08/04 12:17:51 - mmengine - INFO - Epoch(train) [118][1340/1879] lr: 1.0000e-03 eta: 1 day, 7:10:31 time: 0.4292 data_time: 0.0153 memory: 17087 grad_norm: 5.9023 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8936 loss: 0.8936 2022/08/04 12:18:00 - mmengine - INFO - Epoch(train) [118][1360/1879] lr: 1.0000e-03 eta: 1 day, 7:10:22 time: 0.4260 data_time: 0.0160 memory: 17087 grad_norm: 6.0925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9075 loss: 0.9075 2022/08/04 12:18:08 - mmengine - INFO - Epoch(train) [118][1380/1879] lr: 1.0000e-03 eta: 1 day, 7:10:14 time: 0.4323 data_time: 0.0171 memory: 17087 grad_norm: 5.7193 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9113 loss: 0.9113 2022/08/04 12:18:17 - mmengine - INFO - Epoch(train) [118][1400/1879] lr: 1.0000e-03 eta: 1 day, 7:10:05 time: 0.4444 data_time: 0.0160 memory: 17087 grad_norm: 6.0379 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 0.9467 loss: 0.9467 2022/08/04 12:18:26 - mmengine - INFO - Epoch(train) [118][1420/1879] lr: 1.0000e-03 eta: 1 day, 7:09:57 time: 0.4394 data_time: 0.0165 memory: 17087 grad_norm: 5.8342 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8972 loss: 0.8972 2022/08/04 12:18:35 - mmengine - INFO - Epoch(train) [118][1440/1879] lr: 1.0000e-03 eta: 1 day, 7:09:48 time: 0.4314 data_time: 0.0173 memory: 17087 grad_norm: 6.1348 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1260 loss: 1.1260 2022/08/04 12:18:43 - mmengine - INFO - Epoch(train) [118][1460/1879] lr: 1.0000e-03 eta: 1 day, 7:09:40 time: 0.4344 data_time: 0.0155 memory: 17087 grad_norm: 5.8396 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9166 loss: 0.9166 2022/08/04 12:18:52 - mmengine - INFO - Epoch(train) [118][1480/1879] lr: 1.0000e-03 eta: 1 day, 7:09:31 time: 0.4412 data_time: 0.0167 memory: 17087 grad_norm: 5.9410 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9039 loss: 0.9039 2022/08/04 12:19:01 - mmengine - INFO - Epoch(train) [118][1500/1879] lr: 1.0000e-03 eta: 1 day, 7:09:23 time: 0.4337 data_time: 0.0167 memory: 17087 grad_norm: 5.9728 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1495 loss: 1.1495 2022/08/04 12:19:09 - mmengine - INFO - Epoch(train) [118][1520/1879] lr: 1.0000e-03 eta: 1 day, 7:09:14 time: 0.4272 data_time: 0.0153 memory: 17087 grad_norm: 5.7803 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1421 loss: 1.1421 2022/08/04 12:19:18 - mmengine - INFO - Epoch(train) [118][1540/1879] lr: 1.0000e-03 eta: 1 day, 7:09:05 time: 0.4287 data_time: 0.0162 memory: 17087 grad_norm: 5.7676 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0296 loss: 1.0296 2022/08/04 12:19:27 - mmengine - INFO - Epoch(train) [118][1560/1879] lr: 1.0000e-03 eta: 1 day, 7:08:56 time: 0.4311 data_time: 0.0168 memory: 17087 grad_norm: 5.8900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1359 loss: 1.1359 2022/08/04 12:19:35 - mmengine - INFO - Epoch(train) [118][1580/1879] lr: 1.0000e-03 eta: 1 day, 7:08:48 time: 0.4314 data_time: 0.0178 memory: 17087 grad_norm: 6.1498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9080 loss: 0.9080 2022/08/04 12:19:44 - mmengine - INFO - Epoch(train) [118][1600/1879] lr: 1.0000e-03 eta: 1 day, 7:08:39 time: 0.4294 data_time: 0.0161 memory: 17087 grad_norm: 5.5946 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0159 loss: 1.0159 2022/08/04 12:19:53 - mmengine - INFO - Epoch(train) [118][1620/1879] lr: 1.0000e-03 eta: 1 day, 7:08:30 time: 0.4265 data_time: 0.0144 memory: 17087 grad_norm: 5.9774 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1025 loss: 1.1025 2022/08/04 12:20:01 - mmengine - INFO - Epoch(train) [118][1640/1879] lr: 1.0000e-03 eta: 1 day, 7:08:22 time: 0.4320 data_time: 0.0158 memory: 17087 grad_norm: 5.9436 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9754 loss: 0.9754 2022/08/04 12:20:10 - mmengine - INFO - Epoch(train) [118][1660/1879] lr: 1.0000e-03 eta: 1 day, 7:08:13 time: 0.4264 data_time: 0.0145 memory: 17087 grad_norm: 5.7006 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1086 loss: 1.1086 2022/08/04 12:20:18 - mmengine - INFO - Epoch(train) [118][1680/1879] lr: 1.0000e-03 eta: 1 day, 7:08:04 time: 0.4372 data_time: 0.0169 memory: 17087 grad_norm: 5.9057 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9794 loss: 0.9794 2022/08/04 12:20:27 - mmengine - INFO - Epoch(train) [118][1700/1879] lr: 1.0000e-03 eta: 1 day, 7:07:56 time: 0.4283 data_time: 0.0152 memory: 17087 grad_norm: 5.8727 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0455 loss: 1.0455 2022/08/04 12:20:36 - mmengine - INFO - Epoch(train) [118][1720/1879] lr: 1.0000e-03 eta: 1 day, 7:07:47 time: 0.4483 data_time: 0.0170 memory: 17087 grad_norm: 5.9062 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9621 loss: 0.9621 2022/08/04 12:20:45 - mmengine - INFO - Epoch(train) [118][1740/1879] lr: 1.0000e-03 eta: 1 day, 7:07:39 time: 0.4323 data_time: 0.0151 memory: 17087 grad_norm: 5.8974 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9491 loss: 0.9491 2022/08/04 12:20:53 - mmengine - INFO - Epoch(train) [118][1760/1879] lr: 1.0000e-03 eta: 1 day, 7:07:30 time: 0.4341 data_time: 0.0192 memory: 17087 grad_norm: 5.9184 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0081 loss: 1.0081 2022/08/04 12:21:02 - mmengine - INFO - Epoch(train) [118][1780/1879] lr: 1.0000e-03 eta: 1 day, 7:07:21 time: 0.4262 data_time: 0.0142 memory: 17087 grad_norm: 5.8717 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1141 loss: 1.1141 2022/08/04 12:21:11 - mmengine - INFO - Epoch(train) [118][1800/1879] lr: 1.0000e-03 eta: 1 day, 7:07:13 time: 0.4408 data_time: 0.0168 memory: 17087 grad_norm: 6.1629 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0652 loss: 1.0652 2022/08/04 12:21:19 - mmengine - INFO - Epoch(train) [118][1820/1879] lr: 1.0000e-03 eta: 1 day, 7:07:04 time: 0.4276 data_time: 0.0150 memory: 17087 grad_norm: 5.8184 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0130 loss: 1.0130 2022/08/04 12:21:28 - mmengine - INFO - Epoch(train) [118][1840/1879] lr: 1.0000e-03 eta: 1 day, 7:06:56 time: 0.4286 data_time: 0.0157 memory: 17087 grad_norm: 5.8882 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9389 loss: 0.9389 2022/08/04 12:21:37 - mmengine - INFO - Epoch(train) [118][1860/1879] lr: 1.0000e-03 eta: 1 day, 7:06:47 time: 0.4362 data_time: 0.0161 memory: 17087 grad_norm: 5.9505 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8532 loss: 0.8532 2022/08/04 12:21:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 12:21:44 - mmengine - INFO - Epoch(train) [118][1879/1879] lr: 1.0000e-03 eta: 1 day, 7:06:47 time: 0.4124 data_time: 0.0152 memory: 17087 grad_norm: 6.0914 top1_acc: 0.2857 top5_acc: 0.7143 loss_cls: 0.8900 loss: 0.8900 2022/08/04 12:21:56 - mmengine - INFO - Epoch(train) [119][20/1879] lr: 1.0000e-03 eta: 1 day, 7:06:24 time: 0.5910 data_time: 0.1659 memory: 17087 grad_norm: 5.7259 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9796 loss: 0.9796 2022/08/04 12:22:05 - mmengine - INFO - Epoch(train) [119][40/1879] lr: 1.0000e-03 eta: 1 day, 7:06:16 time: 0.4340 data_time: 0.0212 memory: 17087 grad_norm: 5.7664 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0054 loss: 1.0054 2022/08/04 12:22:14 - mmengine - INFO - Epoch(train) [119][60/1879] lr: 1.0000e-03 eta: 1 day, 7:06:07 time: 0.4348 data_time: 0.0163 memory: 17087 grad_norm: 5.8531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0415 loss: 1.0415 2022/08/04 12:22:22 - mmengine - INFO - Epoch(train) [119][80/1879] lr: 1.0000e-03 eta: 1 day, 7:05:58 time: 0.4314 data_time: 0.0163 memory: 17087 grad_norm: 5.9142 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9218 loss: 0.9218 2022/08/04 12:22:31 - mmengine - INFO - Epoch(train) [119][100/1879] lr: 1.0000e-03 eta: 1 day, 7:05:50 time: 0.4325 data_time: 0.0147 memory: 17087 grad_norm: 5.9569 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2157 loss: 1.2157 2022/08/04 12:22:40 - mmengine - INFO - Epoch(train) [119][120/1879] lr: 1.0000e-03 eta: 1 day, 7:05:41 time: 0.4281 data_time: 0.0156 memory: 17087 grad_norm: 5.8110 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9405 loss: 0.9405 2022/08/04 12:22:48 - mmengine - INFO - Epoch(train) [119][140/1879] lr: 1.0000e-03 eta: 1 day, 7:05:32 time: 0.4275 data_time: 0.0147 memory: 17087 grad_norm: 6.0310 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8904 loss: 0.8904 2022/08/04 12:22:57 - mmengine - INFO - Epoch(train) [119][160/1879] lr: 1.0000e-03 eta: 1 day, 7:05:24 time: 0.4344 data_time: 0.0159 memory: 17087 grad_norm: 5.7602 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9867 loss: 0.9867 2022/08/04 12:23:05 - mmengine - INFO - Epoch(train) [119][180/1879] lr: 1.0000e-03 eta: 1 day, 7:05:15 time: 0.4268 data_time: 0.0152 memory: 17087 grad_norm: 5.9186 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9275 loss: 0.9275 2022/08/04 12:23:14 - mmengine - INFO - Epoch(train) [119][200/1879] lr: 1.0000e-03 eta: 1 day, 7:05:06 time: 0.4348 data_time: 0.0172 memory: 17087 grad_norm: 5.8390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1004 loss: 1.1004 2022/08/04 12:23:23 - mmengine - INFO - Epoch(train) [119][220/1879] lr: 1.0000e-03 eta: 1 day, 7:04:58 time: 0.4276 data_time: 0.0157 memory: 17087 grad_norm: 5.8430 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8572 loss: 0.8572 2022/08/04 12:23:32 - mmengine - INFO - Epoch(train) [119][240/1879] lr: 1.0000e-03 eta: 1 day, 7:04:49 time: 0.4411 data_time: 0.0162 memory: 17087 grad_norm: 5.9094 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0846 loss: 1.0846 2022/08/04 12:23:40 - mmengine - INFO - Epoch(train) [119][260/1879] lr: 1.0000e-03 eta: 1 day, 7:04:41 time: 0.4275 data_time: 0.0148 memory: 17087 grad_norm: 5.8794 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1104 loss: 1.1104 2022/08/04 12:23:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 12:23:49 - mmengine - INFO - Epoch(train) [119][280/1879] lr: 1.0000e-03 eta: 1 day, 7:04:32 time: 0.4278 data_time: 0.0156 memory: 17087 grad_norm: 5.7530 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9927 loss: 0.9927 2022/08/04 12:23:58 - mmengine - INFO - Epoch(train) [119][300/1879] lr: 1.0000e-03 eta: 1 day, 7:04:24 time: 0.4607 data_time: 0.0168 memory: 17087 grad_norm: 5.9505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9225 loss: 0.9225 2022/08/04 12:24:06 - mmengine - INFO - Epoch(train) [119][320/1879] lr: 1.0000e-03 eta: 1 day, 7:04:15 time: 0.4261 data_time: 0.0154 memory: 17087 grad_norm: 5.8136 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8937 loss: 0.8937 2022/08/04 12:24:15 - mmengine - INFO - Epoch(train) [119][340/1879] lr: 1.0000e-03 eta: 1 day, 7:04:07 time: 0.4341 data_time: 0.0161 memory: 17087 grad_norm: 5.9170 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2070 loss: 1.2070 2022/08/04 12:24:24 - mmengine - INFO - Epoch(train) [119][360/1879] lr: 1.0000e-03 eta: 1 day, 7:03:58 time: 0.4269 data_time: 0.0158 memory: 17087 grad_norm: 6.0500 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9904 loss: 0.9904 2022/08/04 12:24:32 - mmengine - INFO - Epoch(train) [119][380/1879] lr: 1.0000e-03 eta: 1 day, 7:03:49 time: 0.4303 data_time: 0.0162 memory: 17087 grad_norm: 5.8612 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8015 loss: 0.8015 2022/08/04 12:24:41 - mmengine - INFO - Epoch(train) [119][400/1879] lr: 1.0000e-03 eta: 1 day, 7:03:40 time: 0.4336 data_time: 0.0166 memory: 17087 grad_norm: 5.8960 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9557 loss: 0.9557 2022/08/04 12:24:50 - mmengine - INFO - Epoch(train) [119][420/1879] lr: 1.0000e-03 eta: 1 day, 7:03:32 time: 0.4434 data_time: 0.0149 memory: 17087 grad_norm: 5.8833 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9918 loss: 0.9918 2022/08/04 12:24:58 - mmengine - INFO - Epoch(train) [119][440/1879] lr: 1.0000e-03 eta: 1 day, 7:03:23 time: 0.4290 data_time: 0.0156 memory: 17087 grad_norm: 6.2063 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0422 loss: 1.0422 2022/08/04 12:25:07 - mmengine - INFO - Epoch(train) [119][460/1879] lr: 1.0000e-03 eta: 1 day, 7:03:15 time: 0.4288 data_time: 0.0151 memory: 17087 grad_norm: 5.8139 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9274 loss: 0.9274 2022/08/04 12:25:16 - mmengine - INFO - Epoch(train) [119][480/1879] lr: 1.0000e-03 eta: 1 day, 7:03:07 time: 0.4532 data_time: 0.0161 memory: 17087 grad_norm: 5.8790 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0886 loss: 1.0886 2022/08/04 12:25:25 - mmengine - INFO - Epoch(train) [119][500/1879] lr: 1.0000e-03 eta: 1 day, 7:02:58 time: 0.4346 data_time: 0.0207 memory: 17087 grad_norm: 6.0072 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0640 loss: 1.0640 2022/08/04 12:25:34 - mmengine - INFO - Epoch(train) [119][520/1879] lr: 1.0000e-03 eta: 1 day, 7:02:49 time: 0.4350 data_time: 0.0157 memory: 17087 grad_norm: 5.8747 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9291 loss: 0.9291 2022/08/04 12:25:42 - mmengine - INFO - Epoch(train) [119][540/1879] lr: 1.0000e-03 eta: 1 day, 7:02:41 time: 0.4265 data_time: 0.0153 memory: 17087 grad_norm: 5.7841 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0509 loss: 1.0509 2022/08/04 12:25:51 - mmengine - INFO - Epoch(train) [119][560/1879] lr: 1.0000e-03 eta: 1 day, 7:02:32 time: 0.4366 data_time: 0.0176 memory: 17087 grad_norm: 6.0052 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9388 loss: 0.9388 2022/08/04 12:25:59 - mmengine - INFO - Epoch(train) [119][580/1879] lr: 1.0000e-03 eta: 1 day, 7:02:23 time: 0.4270 data_time: 0.0135 memory: 17087 grad_norm: 5.9302 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0297 loss: 1.0297 2022/08/04 12:26:08 - mmengine - INFO - Epoch(train) [119][600/1879] lr: 1.0000e-03 eta: 1 day, 7:02:15 time: 0.4282 data_time: 0.0160 memory: 17087 grad_norm: 5.9913 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0831 loss: 1.0831 2022/08/04 12:26:17 - mmengine - INFO - Epoch(train) [119][620/1879] lr: 1.0000e-03 eta: 1 day, 7:02:07 time: 0.4596 data_time: 0.0205 memory: 17087 grad_norm: 6.0253 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0122 loss: 1.0122 2022/08/04 12:26:26 - mmengine - INFO - Epoch(train) [119][640/1879] lr: 1.0000e-03 eta: 1 day, 7:01:58 time: 0.4297 data_time: 0.0170 memory: 17087 grad_norm: 5.7596 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8867 loss: 0.8867 2022/08/04 12:26:35 - mmengine - INFO - Epoch(train) [119][660/1879] lr: 1.0000e-03 eta: 1 day, 7:01:50 time: 0.4570 data_time: 0.0187 memory: 17087 grad_norm: 6.0278 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1762 loss: 1.1762 2022/08/04 12:26:44 - mmengine - INFO - Epoch(train) [119][680/1879] lr: 1.0000e-03 eta: 1 day, 7:01:41 time: 0.4286 data_time: 0.0152 memory: 17087 grad_norm: 6.1635 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0664 loss: 1.0664 2022/08/04 12:26:53 - mmengine - INFO - Epoch(train) [119][700/1879] lr: 1.0000e-03 eta: 1 day, 7:01:33 time: 0.4539 data_time: 0.0208 memory: 17087 grad_norm: 6.0156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8451 loss: 0.8451 2022/08/04 12:27:01 - mmengine - INFO - Epoch(train) [119][720/1879] lr: 1.0000e-03 eta: 1 day, 7:01:24 time: 0.4293 data_time: 0.0171 memory: 17087 grad_norm: 5.9713 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9901 loss: 0.9901 2022/08/04 12:27:10 - mmengine - INFO - Epoch(train) [119][740/1879] lr: 1.0000e-03 eta: 1 day, 7:01:16 time: 0.4307 data_time: 0.0186 memory: 17087 grad_norm: 5.9083 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9502 loss: 0.9502 2022/08/04 12:27:19 - mmengine - INFO - Epoch(train) [119][760/1879] lr: 1.0000e-03 eta: 1 day, 7:01:07 time: 0.4330 data_time: 0.0174 memory: 17087 grad_norm: 5.8473 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8275 loss: 0.8275 2022/08/04 12:27:27 - mmengine - INFO - Epoch(train) [119][780/1879] lr: 1.0000e-03 eta: 1 day, 7:00:58 time: 0.4287 data_time: 0.0176 memory: 17087 grad_norm: 5.8470 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8907 loss: 0.8907 2022/08/04 12:27:36 - mmengine - INFO - Epoch(train) [119][800/1879] lr: 1.0000e-03 eta: 1 day, 7:00:50 time: 0.4563 data_time: 0.0186 memory: 17087 grad_norm: 5.7425 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9927 loss: 0.9927 2022/08/04 12:27:45 - mmengine - INFO - Epoch(train) [119][820/1879] lr: 1.0000e-03 eta: 1 day, 7:00:42 time: 0.4345 data_time: 0.0170 memory: 17087 grad_norm: 6.0699 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0920 loss: 1.0920 2022/08/04 12:27:54 - mmengine - INFO - Epoch(train) [119][840/1879] lr: 1.0000e-03 eta: 1 day, 7:00:34 time: 0.4499 data_time: 0.0175 memory: 17087 grad_norm: 5.9076 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8492 loss: 0.8492 2022/08/04 12:28:03 - mmengine - INFO - Epoch(train) [119][860/1879] lr: 1.0000e-03 eta: 1 day, 7:00:25 time: 0.4306 data_time: 0.0141 memory: 17087 grad_norm: 5.9200 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9530 loss: 0.9530 2022/08/04 12:28:12 - mmengine - INFO - Epoch(train) [119][880/1879] lr: 1.0000e-03 eta: 1 day, 7:00:17 time: 0.4674 data_time: 0.0177 memory: 17087 grad_norm: 6.0986 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9849 loss: 0.9849 2022/08/04 12:28:20 - mmengine - INFO - Epoch(train) [119][900/1879] lr: 1.0000e-03 eta: 1 day, 7:00:08 time: 0.4261 data_time: 0.0143 memory: 17087 grad_norm: 5.6996 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9051 loss: 0.9051 2022/08/04 12:28:29 - mmengine - INFO - Epoch(train) [119][920/1879] lr: 1.0000e-03 eta: 1 day, 7:00:00 time: 0.4291 data_time: 0.0162 memory: 17087 grad_norm: 5.9029 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9570 loss: 0.9570 2022/08/04 12:28:38 - mmengine - INFO - Epoch(train) [119][940/1879] lr: 1.0000e-03 eta: 1 day, 6:59:51 time: 0.4428 data_time: 0.0156 memory: 17087 grad_norm: 5.7894 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0340 loss: 1.0340 2022/08/04 12:28:47 - mmengine - INFO - Epoch(train) [119][960/1879] lr: 1.0000e-03 eta: 1 day, 6:59:42 time: 0.4280 data_time: 0.0156 memory: 17087 grad_norm: 5.7852 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9569 loss: 0.9569 2022/08/04 12:28:56 - mmengine - INFO - Epoch(train) [119][980/1879] lr: 1.0000e-03 eta: 1 day, 6:59:34 time: 0.4503 data_time: 0.0165 memory: 17087 grad_norm: 5.8552 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0352 loss: 1.0352 2022/08/04 12:29:04 - mmengine - INFO - Epoch(train) [119][1000/1879] lr: 1.0000e-03 eta: 1 day, 6:59:25 time: 0.4275 data_time: 0.0160 memory: 17087 grad_norm: 5.8227 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8739 loss: 0.8739 2022/08/04 12:29:13 - mmengine - INFO - Epoch(train) [119][1020/1879] lr: 1.0000e-03 eta: 1 day, 6:59:17 time: 0.4318 data_time: 0.0157 memory: 17087 grad_norm: 5.6974 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0025 loss: 1.0025 2022/08/04 12:29:21 - mmengine - INFO - Epoch(train) [119][1040/1879] lr: 1.0000e-03 eta: 1 day, 6:59:08 time: 0.4283 data_time: 0.0164 memory: 17087 grad_norm: 5.8961 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1440 loss: 1.1440 2022/08/04 12:29:30 - mmengine - INFO - Epoch(train) [119][1060/1879] lr: 1.0000e-03 eta: 1 day, 6:58:59 time: 0.4261 data_time: 0.0132 memory: 17087 grad_norm: 6.1663 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0428 loss: 1.0428 2022/08/04 12:29:39 - mmengine - INFO - Epoch(train) [119][1080/1879] lr: 1.0000e-03 eta: 1 day, 6:58:51 time: 0.4528 data_time: 0.0161 memory: 17087 grad_norm: 5.9854 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2077 loss: 1.2077 2022/08/04 12:29:48 - mmengine - INFO - Epoch(train) [119][1100/1879] lr: 1.0000e-03 eta: 1 day, 6:58:43 time: 0.4298 data_time: 0.0159 memory: 17087 grad_norm: 6.1383 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0800 loss: 1.0800 2022/08/04 12:29:56 - mmengine - INFO - Epoch(train) [119][1120/1879] lr: 1.0000e-03 eta: 1 day, 6:58:34 time: 0.4283 data_time: 0.0194 memory: 17087 grad_norm: 5.9010 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1957 loss: 1.1957 2022/08/04 12:30:05 - mmengine - INFO - Epoch(train) [119][1140/1879] lr: 1.0000e-03 eta: 1 day, 6:58:25 time: 0.4280 data_time: 0.0157 memory: 17087 grad_norm: 5.8886 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0467 loss: 1.0467 2022/08/04 12:30:13 - mmengine - INFO - Epoch(train) [119][1160/1879] lr: 1.0000e-03 eta: 1 day, 6:58:16 time: 0.4304 data_time: 0.0171 memory: 17087 grad_norm: 6.0506 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0256 loss: 1.0256 2022/08/04 12:30:22 - mmengine - INFO - Epoch(train) [119][1180/1879] lr: 1.0000e-03 eta: 1 day, 6:58:08 time: 0.4272 data_time: 0.0151 memory: 17087 grad_norm: 5.9850 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1043 loss: 1.1043 2022/08/04 12:30:30 - mmengine - INFO - Epoch(train) [119][1200/1879] lr: 1.0000e-03 eta: 1 day, 6:57:59 time: 0.4275 data_time: 0.0155 memory: 17087 grad_norm: 6.0833 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9611 loss: 0.9611 2022/08/04 12:30:39 - mmengine - INFO - Epoch(train) [119][1220/1879] lr: 1.0000e-03 eta: 1 day, 6:57:50 time: 0.4303 data_time: 0.0170 memory: 17087 grad_norm: 5.9604 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9784 loss: 0.9784 2022/08/04 12:30:48 - mmengine - INFO - Epoch(train) [119][1240/1879] lr: 1.0000e-03 eta: 1 day, 6:57:42 time: 0.4303 data_time: 0.0180 memory: 17087 grad_norm: 5.8525 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0399 loss: 1.0399 2022/08/04 12:30:56 - mmengine - INFO - Epoch(train) [119][1260/1879] lr: 1.0000e-03 eta: 1 day, 6:57:33 time: 0.4270 data_time: 0.0143 memory: 17087 grad_norm: 5.7000 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0967 loss: 1.0967 2022/08/04 12:31:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 12:31:05 - mmengine - INFO - Epoch(train) [119][1280/1879] lr: 1.0000e-03 eta: 1 day, 6:57:25 time: 0.4613 data_time: 0.0247 memory: 17087 grad_norm: 5.7502 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0737 loss: 1.0737 2022/08/04 12:31:14 - mmengine - INFO - Epoch(train) [119][1300/1879] lr: 1.0000e-03 eta: 1 day, 6:57:16 time: 0.4277 data_time: 0.0153 memory: 17087 grad_norm: 5.8133 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8990 loss: 0.8990 2022/08/04 12:31:23 - mmengine - INFO - Epoch(train) [119][1320/1879] lr: 1.0000e-03 eta: 1 day, 6:57:08 time: 0.4368 data_time: 0.0208 memory: 17087 grad_norm: 5.9791 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8894 loss: 0.8894 2022/08/04 12:31:32 - mmengine - INFO - Epoch(train) [119][1340/1879] lr: 1.0000e-03 eta: 1 day, 6:57:00 time: 0.4586 data_time: 0.0143 memory: 17087 grad_norm: 5.8883 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.1894 loss: 1.1894 2022/08/04 12:31:41 - mmengine - INFO - Epoch(train) [119][1360/1879] lr: 1.0000e-03 eta: 1 day, 6:56:51 time: 0.4301 data_time: 0.0171 memory: 17087 grad_norm: 6.0192 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0133 loss: 1.0133 2022/08/04 12:31:49 - mmengine - INFO - Epoch(train) [119][1380/1879] lr: 1.0000e-03 eta: 1 day, 6:56:42 time: 0.4280 data_time: 0.0146 memory: 17087 grad_norm: 6.1042 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9873 loss: 0.9873 2022/08/04 12:31:58 - mmengine - INFO - Epoch(train) [119][1400/1879] lr: 1.0000e-03 eta: 1 day, 6:56:34 time: 0.4330 data_time: 0.0169 memory: 17087 grad_norm: 5.8259 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8638 loss: 0.8638 2022/08/04 12:32:06 - mmengine - INFO - Epoch(train) [119][1420/1879] lr: 1.0000e-03 eta: 1 day, 6:56:25 time: 0.4290 data_time: 0.0151 memory: 17087 grad_norm: 5.8503 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9228 loss: 0.9228 2022/08/04 12:32:15 - mmengine - INFO - Epoch(train) [119][1440/1879] lr: 1.0000e-03 eta: 1 day, 6:56:16 time: 0.4298 data_time: 0.0155 memory: 17087 grad_norm: 5.7473 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0181 loss: 1.0181 2022/08/04 12:32:25 - mmengine - INFO - Epoch(train) [119][1460/1879] lr: 1.0000e-03 eta: 1 day, 6:56:08 time: 0.4740 data_time: 0.0216 memory: 17087 grad_norm: 5.7014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8894 loss: 0.8894 2022/08/04 12:32:33 - mmengine - INFO - Epoch(train) [119][1480/1879] lr: 1.0000e-03 eta: 1 day, 6:56:00 time: 0.4295 data_time: 0.0171 memory: 17087 grad_norm: 6.1722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0354 loss: 1.0354 2022/08/04 12:32:42 - mmengine - INFO - Epoch(train) [119][1500/1879] lr: 1.0000e-03 eta: 1 day, 6:55:51 time: 0.4276 data_time: 0.0153 memory: 17087 grad_norm: 6.0142 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9820 loss: 0.9820 2022/08/04 12:32:50 - mmengine - INFO - Epoch(train) [119][1520/1879] lr: 1.0000e-03 eta: 1 day, 6:55:42 time: 0.4273 data_time: 0.0155 memory: 17087 grad_norm: 5.9881 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8501 loss: 0.8501 2022/08/04 12:32:59 - mmengine - INFO - Epoch(train) [119][1540/1879] lr: 1.0000e-03 eta: 1 day, 6:55:34 time: 0.4381 data_time: 0.0149 memory: 17087 grad_norm: 6.0449 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0022 loss: 1.0022 2022/08/04 12:33:08 - mmengine - INFO - Epoch(train) [119][1560/1879] lr: 1.0000e-03 eta: 1 day, 6:55:25 time: 0.4283 data_time: 0.0160 memory: 17087 grad_norm: 5.9281 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1322 loss: 1.1322 2022/08/04 12:33:17 - mmengine - INFO - Epoch(train) [119][1580/1879] lr: 1.0000e-03 eta: 1 day, 6:55:17 time: 0.4682 data_time: 0.0206 memory: 17087 grad_norm: 5.9543 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0533 loss: 1.0533 2022/08/04 12:33:26 - mmengine - INFO - Epoch(train) [119][1600/1879] lr: 1.0000e-03 eta: 1 day, 6:55:09 time: 0.4322 data_time: 0.0198 memory: 17087 grad_norm: 5.9769 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0524 loss: 1.0524 2022/08/04 12:33:35 - mmengine - INFO - Epoch(train) [119][1620/1879] lr: 1.0000e-03 eta: 1 day, 6:55:01 time: 0.4607 data_time: 0.0147 memory: 17087 grad_norm: 5.9691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0457 loss: 1.0457 2022/08/04 12:33:43 - mmengine - INFO - Epoch(train) [119][1640/1879] lr: 1.0000e-03 eta: 1 day, 6:54:52 time: 0.4284 data_time: 0.0187 memory: 17087 grad_norm: 5.9341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1053 loss: 1.1053 2022/08/04 12:33:52 - mmengine - INFO - Epoch(train) [119][1660/1879] lr: 1.0000e-03 eta: 1 day, 6:54:43 time: 0.4363 data_time: 0.0204 memory: 17087 grad_norm: 6.1051 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8608 loss: 0.8608 2022/08/04 12:34:01 - mmengine - INFO - Epoch(train) [119][1680/1879] lr: 1.0000e-03 eta: 1 day, 6:54:35 time: 0.4270 data_time: 0.0156 memory: 17087 grad_norm: 5.8382 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0322 loss: 1.0322 2022/08/04 12:34:09 - mmengine - INFO - Epoch(train) [119][1700/1879] lr: 1.0000e-03 eta: 1 day, 6:54:26 time: 0.4347 data_time: 0.0158 memory: 17087 grad_norm: 5.7050 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9515 loss: 0.9515 2022/08/04 12:34:18 - mmengine - INFO - Epoch(train) [119][1720/1879] lr: 1.0000e-03 eta: 1 day, 6:54:18 time: 0.4458 data_time: 0.0156 memory: 17087 grad_norm: 6.0014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0139 loss: 1.0139 2022/08/04 12:34:27 - mmengine - INFO - Epoch(train) [119][1740/1879] lr: 1.0000e-03 eta: 1 day, 6:54:10 time: 0.4489 data_time: 0.0168 memory: 17087 grad_norm: 5.9218 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0564 loss: 1.0564 2022/08/04 12:34:36 - mmengine - INFO - Epoch(train) [119][1760/1879] lr: 1.0000e-03 eta: 1 day, 6:54:01 time: 0.4278 data_time: 0.0154 memory: 17087 grad_norm: 5.9273 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1226 loss: 1.1226 2022/08/04 12:34:45 - mmengine - INFO - Epoch(train) [119][1780/1879] lr: 1.0000e-03 eta: 1 day, 6:53:52 time: 0.4380 data_time: 0.0179 memory: 17087 grad_norm: 5.7715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0255 loss: 1.0255 2022/08/04 12:34:53 - mmengine - INFO - Epoch(train) [119][1800/1879] lr: 1.0000e-03 eta: 1 day, 6:53:43 time: 0.4260 data_time: 0.0162 memory: 17087 grad_norm: 5.8190 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9497 loss: 0.9497 2022/08/04 12:35:03 - mmengine - INFO - Epoch(train) [119][1820/1879] lr: 1.0000e-03 eta: 1 day, 6:53:36 time: 0.4700 data_time: 0.0198 memory: 17087 grad_norm: 6.0004 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9434 loss: 0.9434 2022/08/04 12:35:11 - mmengine - INFO - Epoch(train) [119][1840/1879] lr: 1.0000e-03 eta: 1 day, 6:53:27 time: 0.4275 data_time: 0.0171 memory: 17087 grad_norm: 5.7950 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0187 loss: 1.0187 2022/08/04 12:35:20 - mmengine - INFO - Epoch(train) [119][1860/1879] lr: 1.0000e-03 eta: 1 day, 6:53:18 time: 0.4261 data_time: 0.0136 memory: 17087 grad_norm: 5.9552 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2057 loss: 1.2057 2022/08/04 12:35:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 12:35:28 - mmengine - INFO - Epoch(train) [119][1879/1879] lr: 1.0000e-03 eta: 1 day, 6:53:18 time: 0.4130 data_time: 0.0199 memory: 17087 grad_norm: 6.2148 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0717 loss: 1.0717 2022/08/04 12:35:39 - mmengine - INFO - Epoch(train) [120][20/1879] lr: 1.0000e-03 eta: 1 day, 6:52:55 time: 0.5494 data_time: 0.1256 memory: 17087 grad_norm: 5.8358 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9515 loss: 0.9515 2022/08/04 12:35:47 - mmengine - INFO - Epoch(train) [120][40/1879] lr: 1.0000e-03 eta: 1 day, 6:52:46 time: 0.4370 data_time: 0.0182 memory: 17087 grad_norm: 5.6986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8615 loss: 0.8615 2022/08/04 12:35:56 - mmengine - INFO - Epoch(train) [120][60/1879] lr: 1.0000e-03 eta: 1 day, 6:52:37 time: 0.4295 data_time: 0.0132 memory: 17087 grad_norm: 5.9546 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0247 loss: 1.0247 2022/08/04 12:36:05 - mmengine - INFO - Epoch(train) [120][80/1879] lr: 1.0000e-03 eta: 1 day, 6:52:29 time: 0.4350 data_time: 0.0174 memory: 17087 grad_norm: 5.8514 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8438 loss: 0.8438 2022/08/04 12:36:13 - mmengine - INFO - Epoch(train) [120][100/1879] lr: 1.0000e-03 eta: 1 day, 6:52:20 time: 0.4276 data_time: 0.0131 memory: 17087 grad_norm: 5.8356 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9892 loss: 0.9892 2022/08/04 12:36:22 - mmengine - INFO - Epoch(train) [120][120/1879] lr: 1.0000e-03 eta: 1 day, 6:52:12 time: 0.4335 data_time: 0.0173 memory: 17087 grad_norm: 5.6336 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1034 loss: 1.1034 2022/08/04 12:36:31 - mmengine - INFO - Epoch(train) [120][140/1879] lr: 1.0000e-03 eta: 1 day, 6:52:03 time: 0.4282 data_time: 0.0132 memory: 17087 grad_norm: 5.9638 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9677 loss: 0.9677 2022/08/04 12:36:39 - mmengine - INFO - Epoch(train) [120][160/1879] lr: 1.0000e-03 eta: 1 day, 6:51:54 time: 0.4275 data_time: 0.0153 memory: 17087 grad_norm: 6.0977 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0169 loss: 1.0169 2022/08/04 12:36:48 - mmengine - INFO - Epoch(train) [120][180/1879] lr: 1.0000e-03 eta: 1 day, 6:51:45 time: 0.4333 data_time: 0.0187 memory: 17087 grad_norm: 5.8157 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1177 loss: 1.1177 2022/08/04 12:36:56 - mmengine - INFO - Epoch(train) [120][200/1879] lr: 1.0000e-03 eta: 1 day, 6:51:37 time: 0.4290 data_time: 0.0159 memory: 17087 grad_norm: 5.7510 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0003 loss: 1.0003 2022/08/04 12:37:05 - mmengine - INFO - Epoch(train) [120][220/1879] lr: 1.0000e-03 eta: 1 day, 6:51:28 time: 0.4345 data_time: 0.0206 memory: 17087 grad_norm: 6.0444 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9045 loss: 0.9045 2022/08/04 12:37:14 - mmengine - INFO - Epoch(train) [120][240/1879] lr: 1.0000e-03 eta: 1 day, 6:51:19 time: 0.4277 data_time: 0.0162 memory: 17087 grad_norm: 6.1933 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0252 loss: 1.0252 2022/08/04 12:37:22 - mmengine - INFO - Epoch(train) [120][260/1879] lr: 1.0000e-03 eta: 1 day, 6:51:11 time: 0.4325 data_time: 0.0148 memory: 17087 grad_norm: 6.1264 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1246 loss: 1.1246 2022/08/04 12:37:31 - mmengine - INFO - Epoch(train) [120][280/1879] lr: 1.0000e-03 eta: 1 day, 6:51:02 time: 0.4284 data_time: 0.0160 memory: 17087 grad_norm: 6.1085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9215 loss: 0.9215 2022/08/04 12:37:40 - mmengine - INFO - Epoch(train) [120][300/1879] lr: 1.0000e-03 eta: 1 day, 6:50:53 time: 0.4263 data_time: 0.0143 memory: 17087 grad_norm: 5.9773 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9288 loss: 0.9288 2022/08/04 12:37:49 - mmengine - INFO - Epoch(train) [120][320/1879] lr: 1.0000e-03 eta: 1 day, 6:50:45 time: 0.4604 data_time: 0.0218 memory: 17087 grad_norm: 5.9053 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1051 loss: 1.1051 2022/08/04 12:37:57 - mmengine - INFO - Epoch(train) [120][340/1879] lr: 1.0000e-03 eta: 1 day, 6:50:37 time: 0.4292 data_time: 0.0150 memory: 17087 grad_norm: 5.8500 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9436 loss: 0.9436 2022/08/04 12:38:07 - mmengine - INFO - Epoch(train) [120][360/1879] lr: 1.0000e-03 eta: 1 day, 6:50:29 time: 0.4678 data_time: 0.0225 memory: 17087 grad_norm: 6.0539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0628 loss: 1.0628 2022/08/04 12:38:15 - mmengine - INFO - Epoch(train) [120][380/1879] lr: 1.0000e-03 eta: 1 day, 6:50:20 time: 0.4273 data_time: 0.0134 memory: 17087 grad_norm: 6.0347 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1453 loss: 1.1453 2022/08/04 12:38:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 12:38:24 - mmengine - INFO - Epoch(train) [120][400/1879] lr: 1.0000e-03 eta: 1 day, 6:50:12 time: 0.4560 data_time: 0.0215 memory: 17087 grad_norm: 5.9362 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1269 loss: 1.1269 2022/08/04 12:38:33 - mmengine - INFO - Epoch(train) [120][420/1879] lr: 1.0000e-03 eta: 1 day, 6:50:03 time: 0.4332 data_time: 0.0135 memory: 17087 grad_norm: 5.8243 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0708 loss: 1.0708 2022/08/04 12:38:42 - mmengine - INFO - Epoch(train) [120][440/1879] lr: 1.0000e-03 eta: 1 day, 6:49:55 time: 0.4292 data_time: 0.0159 memory: 17087 grad_norm: 5.9098 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9929 loss: 0.9929 2022/08/04 12:38:51 - mmengine - INFO - Epoch(train) [120][460/1879] lr: 1.0000e-03 eta: 1 day, 6:49:46 time: 0.4429 data_time: 0.0142 memory: 17087 grad_norm: 5.8889 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9745 loss: 0.9745 2022/08/04 12:38:59 - mmengine - INFO - Epoch(train) [120][480/1879] lr: 1.0000e-03 eta: 1 day, 6:49:38 time: 0.4295 data_time: 0.0152 memory: 17087 grad_norm: 5.9331 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0614 loss: 1.0614 2022/08/04 12:39:08 - mmengine - INFO - Epoch(train) [120][500/1879] lr: 1.0000e-03 eta: 1 day, 6:49:30 time: 0.4556 data_time: 0.0224 memory: 17087 grad_norm: 5.8136 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9231 loss: 0.9231 2022/08/04 12:39:17 - mmengine - INFO - Epoch(train) [120][520/1879] lr: 1.0000e-03 eta: 1 day, 6:49:21 time: 0.4266 data_time: 0.0149 memory: 17087 grad_norm: 5.7091 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9413 loss: 0.9413 2022/08/04 12:39:26 - mmengine - INFO - Epoch(train) [120][540/1879] lr: 1.0000e-03 eta: 1 day, 6:49:12 time: 0.4388 data_time: 0.0198 memory: 17087 grad_norm: 5.7844 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0584 loss: 1.0584 2022/08/04 12:39:34 - mmengine - INFO - Epoch(train) [120][560/1879] lr: 1.0000e-03 eta: 1 day, 6:49:04 time: 0.4288 data_time: 0.0159 memory: 17087 grad_norm: 5.8453 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0987 loss: 1.0987 2022/08/04 12:39:43 - mmengine - INFO - Epoch(train) [120][580/1879] lr: 1.0000e-03 eta: 1 day, 6:48:56 time: 0.4612 data_time: 0.0154 memory: 17087 grad_norm: 6.1094 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9553 loss: 0.9553 2022/08/04 12:39:52 - mmengine - INFO - Epoch(train) [120][600/1879] lr: 1.0000e-03 eta: 1 day, 6:48:47 time: 0.4276 data_time: 0.0161 memory: 17087 grad_norm: 5.8894 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0880 loss: 1.0880 2022/08/04 12:40:01 - mmengine - INFO - Epoch(train) [120][620/1879] lr: 1.0000e-03 eta: 1 day, 6:48:38 time: 0.4309 data_time: 0.0205 memory: 17087 grad_norm: 5.9085 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2295 loss: 1.2295 2022/08/04 12:40:10 - mmengine - INFO - Epoch(train) [120][640/1879] lr: 1.0000e-03 eta: 1 day, 6:48:30 time: 0.4582 data_time: 0.0191 memory: 17087 grad_norm: 6.0461 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9758 loss: 0.9758 2022/08/04 12:40:18 - mmengine - INFO - Epoch(train) [120][660/1879] lr: 1.0000e-03 eta: 1 day, 6:48:21 time: 0.4284 data_time: 0.0149 memory: 17087 grad_norm: 5.8820 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8931 loss: 0.8931 2022/08/04 12:40:27 - mmengine - INFO - Epoch(train) [120][680/1879] lr: 1.0000e-03 eta: 1 day, 6:48:13 time: 0.4494 data_time: 0.0230 memory: 17087 grad_norm: 5.9370 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1124 loss: 1.1124 2022/08/04 12:40:36 - mmengine - INFO - Epoch(train) [120][700/1879] lr: 1.0000e-03 eta: 1 day, 6:48:04 time: 0.4279 data_time: 0.0139 memory: 17087 grad_norm: 5.9951 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1236 loss: 1.1236 2022/08/04 12:40:45 - mmengine - INFO - Epoch(train) [120][720/1879] lr: 1.0000e-03 eta: 1 day, 6:47:56 time: 0.4371 data_time: 0.0165 memory: 17087 grad_norm: 5.8063 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9722 loss: 0.9722 2022/08/04 12:40:53 - mmengine - INFO - Epoch(train) [120][740/1879] lr: 1.0000e-03 eta: 1 day, 6:47:47 time: 0.4261 data_time: 0.0137 memory: 17087 grad_norm: 5.9920 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0651 loss: 1.0651 2022/08/04 12:41:02 - mmengine - INFO - Epoch(train) [120][760/1879] lr: 1.0000e-03 eta: 1 day, 6:47:38 time: 0.4289 data_time: 0.0164 memory: 17087 grad_norm: 5.9777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1232 loss: 1.1232 2022/08/04 12:41:11 - mmengine - INFO - Epoch(train) [120][780/1879] lr: 1.0000e-03 eta: 1 day, 6:47:30 time: 0.4474 data_time: 0.0157 memory: 17087 grad_norm: 5.9200 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0737 loss: 1.0737 2022/08/04 12:41:19 - mmengine - INFO - Epoch(train) [120][800/1879] lr: 1.0000e-03 eta: 1 day, 6:47:22 time: 0.4304 data_time: 0.0168 memory: 17087 grad_norm: 6.0449 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1621 loss: 1.1621 2022/08/04 12:41:28 - mmengine - INFO - Epoch(train) [120][820/1879] lr: 1.0000e-03 eta: 1 day, 6:47:13 time: 0.4314 data_time: 0.0152 memory: 17087 grad_norm: 5.9680 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9491 loss: 0.9491 2022/08/04 12:41:37 - mmengine - INFO - Epoch(train) [120][840/1879] lr: 1.0000e-03 eta: 1 day, 6:47:04 time: 0.4361 data_time: 0.0190 memory: 17087 grad_norm: 5.9558 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0588 loss: 1.0588 2022/08/04 12:41:46 - mmengine - INFO - Epoch(train) [120][860/1879] lr: 1.0000e-03 eta: 1 day, 6:46:56 time: 0.4357 data_time: 0.0215 memory: 17087 grad_norm: 5.9421 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0218 loss: 1.0218 2022/08/04 12:41:55 - mmengine - INFO - Epoch(train) [120][880/1879] lr: 1.0000e-03 eta: 1 day, 6:46:48 time: 0.4679 data_time: 0.0178 memory: 17087 grad_norm: 6.1008 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9808 loss: 0.9808 2022/08/04 12:42:04 - mmengine - INFO - Epoch(train) [120][900/1879] lr: 1.0000e-03 eta: 1 day, 6:46:39 time: 0.4321 data_time: 0.0153 memory: 17087 grad_norm: 5.8510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0594 loss: 1.0594 2022/08/04 12:42:12 - mmengine - INFO - Epoch(train) [120][920/1879] lr: 1.0000e-03 eta: 1 day, 6:46:31 time: 0.4327 data_time: 0.0159 memory: 17087 grad_norm: 6.0978 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1763 loss: 1.1763 2022/08/04 12:42:21 - mmengine - INFO - Epoch(train) [120][940/1879] lr: 1.0000e-03 eta: 1 day, 6:46:22 time: 0.4365 data_time: 0.0136 memory: 17087 grad_norm: 5.8123 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0789 loss: 1.0789 2022/08/04 12:42:30 - mmengine - INFO - Epoch(train) [120][960/1879] lr: 1.0000e-03 eta: 1 day, 6:46:13 time: 0.4293 data_time: 0.0171 memory: 17087 grad_norm: 6.1764 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0915 loss: 1.0915 2022/08/04 12:42:39 - mmengine - INFO - Epoch(train) [120][980/1879] lr: 1.0000e-03 eta: 1 day, 6:46:05 time: 0.4509 data_time: 0.0156 memory: 17087 grad_norm: 5.9319 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9870 loss: 0.9870 2022/08/04 12:42:47 - mmengine - INFO - Epoch(train) [120][1000/1879] lr: 1.0000e-03 eta: 1 day, 6:45:57 time: 0.4336 data_time: 0.0186 memory: 17087 grad_norm: 6.2291 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1545 loss: 1.1545 2022/08/04 12:42:56 - mmengine - INFO - Epoch(train) [120][1020/1879] lr: 1.0000e-03 eta: 1 day, 6:45:48 time: 0.4377 data_time: 0.0155 memory: 17087 grad_norm: 6.0065 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0477 loss: 1.0477 2022/08/04 12:43:05 - mmengine - INFO - Epoch(train) [120][1040/1879] lr: 1.0000e-03 eta: 1 day, 6:45:40 time: 0.4318 data_time: 0.0149 memory: 17087 grad_norm: 6.1071 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8693 loss: 0.8693 2022/08/04 12:43:14 - mmengine - INFO - Epoch(train) [120][1060/1879] lr: 1.0000e-03 eta: 1 day, 6:45:31 time: 0.4414 data_time: 0.0155 memory: 17087 grad_norm: 5.9562 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7778 loss: 0.7778 2022/08/04 12:43:22 - mmengine - INFO - Epoch(train) [120][1080/1879] lr: 1.0000e-03 eta: 1 day, 6:45:22 time: 0.4267 data_time: 0.0147 memory: 17087 grad_norm: 6.0473 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0277 loss: 1.0277 2022/08/04 12:43:31 - mmengine - INFO - Epoch(train) [120][1100/1879] lr: 1.0000e-03 eta: 1 day, 6:45:14 time: 0.4316 data_time: 0.0182 memory: 17087 grad_norm: 6.0324 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9801 loss: 0.9801 2022/08/04 12:43:40 - mmengine - INFO - Epoch(train) [120][1120/1879] lr: 1.0000e-03 eta: 1 day, 6:45:06 time: 0.4639 data_time: 0.0179 memory: 17087 grad_norm: 5.8984 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0067 loss: 1.0067 2022/08/04 12:43:49 - mmengine - INFO - Epoch(train) [120][1140/1879] lr: 1.0000e-03 eta: 1 day, 6:44:57 time: 0.4304 data_time: 0.0158 memory: 17087 grad_norm: 5.8469 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9381 loss: 0.9381 2022/08/04 12:43:58 - mmengine - INFO - Epoch(train) [120][1160/1879] lr: 1.0000e-03 eta: 1 day, 6:44:49 time: 0.4583 data_time: 0.0186 memory: 17087 grad_norm: 5.9411 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0128 loss: 1.0128 2022/08/04 12:44:07 - mmengine - INFO - Epoch(train) [120][1180/1879] lr: 1.0000e-03 eta: 1 day, 6:44:40 time: 0.4343 data_time: 0.0200 memory: 17087 grad_norm: 5.7913 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9401 loss: 0.9401 2022/08/04 12:44:16 - mmengine - INFO - Epoch(train) [120][1200/1879] lr: 1.0000e-03 eta: 1 day, 6:44:32 time: 0.4586 data_time: 0.0176 memory: 17087 grad_norm: 6.0007 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9921 loss: 0.9921 2022/08/04 12:44:24 - mmengine - INFO - Epoch(train) [120][1220/1879] lr: 1.0000e-03 eta: 1 day, 6:44:24 time: 0.4339 data_time: 0.0199 memory: 17087 grad_norm: 5.8354 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1730 loss: 1.1730 2022/08/04 12:44:33 - mmengine - INFO - Epoch(train) [120][1240/1879] lr: 1.0000e-03 eta: 1 day, 6:44:16 time: 0.4454 data_time: 0.0166 memory: 17087 grad_norm: 5.9165 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9656 loss: 0.9656 2022/08/04 12:44:42 - mmengine - INFO - Epoch(train) [120][1260/1879] lr: 1.0000e-03 eta: 1 day, 6:44:07 time: 0.4273 data_time: 0.0158 memory: 17087 grad_norm: 5.8551 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0164 loss: 1.0164 2022/08/04 12:44:51 - mmengine - INFO - Epoch(train) [120][1280/1879] lr: 1.0000e-03 eta: 1 day, 6:43:58 time: 0.4309 data_time: 0.0177 memory: 17087 grad_norm: 5.9487 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9824 loss: 0.9824 2022/08/04 12:45:00 - mmengine - INFO - Epoch(train) [120][1300/1879] lr: 1.0000e-03 eta: 1 day, 6:43:50 time: 0.4557 data_time: 0.0153 memory: 17087 grad_norm: 6.1317 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0049 loss: 1.0049 2022/08/04 12:45:08 - mmengine - INFO - Epoch(train) [120][1320/1879] lr: 1.0000e-03 eta: 1 day, 6:43:41 time: 0.4339 data_time: 0.0215 memory: 17087 grad_norm: 6.0661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0440 loss: 1.0440 2022/08/04 12:45:17 - mmengine - INFO - Epoch(train) [120][1340/1879] lr: 1.0000e-03 eta: 1 day, 6:43:33 time: 0.4392 data_time: 0.0127 memory: 17087 grad_norm: 5.8266 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9336 loss: 0.9336 2022/08/04 12:45:26 - mmengine - INFO - Epoch(train) [120][1360/1879] lr: 1.0000e-03 eta: 1 day, 6:43:24 time: 0.4289 data_time: 0.0169 memory: 17087 grad_norm: 5.8613 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9630 loss: 0.9630 2022/08/04 12:45:35 - mmengine - INFO - Epoch(train) [120][1380/1879] lr: 1.0000e-03 eta: 1 day, 6:43:16 time: 0.4593 data_time: 0.0147 memory: 17087 grad_norm: 5.8849 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0019 loss: 1.0019 2022/08/04 12:45:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 12:45:44 - mmengine - INFO - Epoch(train) [120][1400/1879] lr: 1.0000e-03 eta: 1 day, 6:43:08 time: 0.4298 data_time: 0.0163 memory: 17087 grad_norm: 5.9966 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9702 loss: 0.9702 2022/08/04 12:45:52 - mmengine - INFO - Epoch(train) [120][1420/1879] lr: 1.0000e-03 eta: 1 day, 6:42:59 time: 0.4310 data_time: 0.0189 memory: 17087 grad_norm: 6.0463 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8642 loss: 0.8642 2022/08/04 12:46:01 - mmengine - INFO - Epoch(train) [120][1440/1879] lr: 1.0000e-03 eta: 1 day, 6:42:51 time: 0.4548 data_time: 0.0209 memory: 17087 grad_norm: 6.1867 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0766 loss: 1.0766 2022/08/04 12:46:10 - mmengine - INFO - Epoch(train) [120][1460/1879] lr: 1.0000e-03 eta: 1 day, 6:42:42 time: 0.4283 data_time: 0.0151 memory: 17087 grad_norm: 5.9497 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9936 loss: 0.9936 2022/08/04 12:46:19 - mmengine - INFO - Epoch(train) [120][1480/1879] lr: 1.0000e-03 eta: 1 day, 6:42:34 time: 0.4448 data_time: 0.0261 memory: 17087 grad_norm: 5.9468 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1408 loss: 1.1408 2022/08/04 12:46:27 - mmengine - INFO - Epoch(train) [120][1500/1879] lr: 1.0000e-03 eta: 1 day, 6:42:25 time: 0.4276 data_time: 0.0150 memory: 17087 grad_norm: 6.0434 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0035 loss: 1.0035 2022/08/04 12:46:36 - mmengine - INFO - Epoch(train) [120][1520/1879] lr: 1.0000e-03 eta: 1 day, 6:42:16 time: 0.4402 data_time: 0.0173 memory: 17087 grad_norm: 5.9518 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9745 loss: 0.9745 2022/08/04 12:46:45 - mmengine - INFO - Epoch(train) [120][1540/1879] lr: 1.0000e-03 eta: 1 day, 6:42:08 time: 0.4310 data_time: 0.0176 memory: 17087 grad_norm: 5.9081 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9638 loss: 0.9638 2022/08/04 12:46:54 - mmengine - INFO - Epoch(train) [120][1560/1879] lr: 1.0000e-03 eta: 1 day, 6:41:59 time: 0.4383 data_time: 0.0179 memory: 17087 grad_norm: 5.9249 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9103 loss: 0.9103 2022/08/04 12:47:02 - mmengine - INFO - Epoch(train) [120][1580/1879] lr: 1.0000e-03 eta: 1 day, 6:41:51 time: 0.4382 data_time: 0.0137 memory: 17087 grad_norm: 6.2085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0834 loss: 1.0834 2022/08/04 12:47:11 - mmengine - INFO - Epoch(train) [120][1600/1879] lr: 1.0000e-03 eta: 1 day, 6:41:42 time: 0.4306 data_time: 0.0182 memory: 17087 grad_norm: 6.0749 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9262 loss: 0.9262 2022/08/04 12:47:20 - mmengine - INFO - Epoch(train) [120][1620/1879] lr: 1.0000e-03 eta: 1 day, 6:41:34 time: 0.4497 data_time: 0.0154 memory: 17087 grad_norm: 5.8075 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9061 loss: 0.9061 2022/08/04 12:47:29 - mmengine - INFO - Epoch(train) [120][1640/1879] lr: 1.0000e-03 eta: 1 day, 6:41:25 time: 0.4263 data_time: 0.0155 memory: 17087 grad_norm: 5.8410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1249 loss: 1.1249 2022/08/04 12:47:37 - mmengine - INFO - Epoch(train) [120][1660/1879] lr: 1.0000e-03 eta: 1 day, 6:41:16 time: 0.4305 data_time: 0.0152 memory: 17087 grad_norm: 5.9645 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0857 loss: 1.0857 2022/08/04 12:47:46 - mmengine - INFO - Epoch(train) [120][1680/1879] lr: 1.0000e-03 eta: 1 day, 6:41:08 time: 0.4282 data_time: 0.0157 memory: 17087 grad_norm: 6.0104 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9768 loss: 0.9768 2022/08/04 12:47:55 - mmengine - INFO - Epoch(train) [120][1700/1879] lr: 1.0000e-03 eta: 1 day, 6:41:00 time: 0.4551 data_time: 0.0179 memory: 17087 grad_norm: 5.7938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9892 loss: 0.9892 2022/08/04 12:48:03 - mmengine - INFO - Epoch(train) [120][1720/1879] lr: 1.0000e-03 eta: 1 day, 6:40:51 time: 0.4279 data_time: 0.0163 memory: 17087 grad_norm: 6.1246 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0051 loss: 1.0051 2022/08/04 12:48:12 - mmengine - INFO - Epoch(train) [120][1740/1879] lr: 1.0000e-03 eta: 1 day, 6:40:42 time: 0.4253 data_time: 0.0145 memory: 17087 grad_norm: 6.1309 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1231 loss: 1.1231 2022/08/04 12:48:21 - mmengine - INFO - Epoch(train) [120][1760/1879] lr: 1.0000e-03 eta: 1 day, 6:40:34 time: 0.4438 data_time: 0.0159 memory: 17087 grad_norm: 6.0215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8775 loss: 0.8775 2022/08/04 12:48:29 - mmengine - INFO - Epoch(train) [120][1780/1879] lr: 1.0000e-03 eta: 1 day, 6:40:25 time: 0.4287 data_time: 0.0170 memory: 17087 grad_norm: 6.1672 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0691 loss: 1.0691 2022/08/04 12:48:38 - mmengine - INFO - Epoch(train) [120][1800/1879] lr: 1.0000e-03 eta: 1 day, 6:40:16 time: 0.4335 data_time: 0.0175 memory: 17087 grad_norm: 5.9085 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9421 loss: 0.9421 2022/08/04 12:48:47 - mmengine - INFO - Epoch(train) [120][1820/1879] lr: 1.0000e-03 eta: 1 day, 6:40:08 time: 0.4292 data_time: 0.0147 memory: 17087 grad_norm: 6.0326 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0144 loss: 1.0144 2022/08/04 12:48:55 - mmengine - INFO - Epoch(train) [120][1840/1879] lr: 1.0000e-03 eta: 1 day, 6:39:59 time: 0.4354 data_time: 0.0176 memory: 17087 grad_norm: 6.0115 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.1623 loss: 1.1623 2022/08/04 12:49:04 - mmengine - INFO - Epoch(train) [120][1860/1879] lr: 1.0000e-03 eta: 1 day, 6:39:50 time: 0.4276 data_time: 0.0142 memory: 17087 grad_norm: 5.9378 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8956 loss: 0.8956 2022/08/04 12:49:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 12:49:12 - mmengine - INFO - Epoch(train) [120][1879/1879] lr: 1.0000e-03 eta: 1 day, 6:39:50 time: 0.4080 data_time: 0.0145 memory: 17087 grad_norm: 6.2518 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9728 loss: 0.9728 2022/08/04 12:49:12 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/04 12:49:24 - mmengine - INFO - Epoch(val) [120][20/155] eta: 0:00:50 time: 0.3770 data_time: 0.2063 memory: 2821 2022/08/04 12:49:29 - mmengine - INFO - Epoch(val) [120][40/155] eta: 0:00:27 time: 0.2416 data_time: 0.0751 memory: 2821 2022/08/04 12:49:35 - mmengine - INFO - Epoch(val) [120][60/155] eta: 0:00:29 time: 0.3124 data_time: 0.1418 memory: 2821 2022/08/04 12:49:40 - mmengine - INFO - Epoch(val) [120][80/155] eta: 0:00:19 time: 0.2617 data_time: 0.0937 memory: 2821 2022/08/04 12:49:46 - mmengine - INFO - Epoch(val) [120][100/155] eta: 0:00:16 time: 0.3088 data_time: 0.1426 memory: 2821 2022/08/04 12:49:52 - mmengine - INFO - Epoch(val) [120][120/155] eta: 0:00:09 time: 0.2767 data_time: 0.1077 memory: 2821 2022/08/04 12:49:58 - mmengine - INFO - Epoch(val) [120][140/155] eta: 0:00:04 time: 0.2950 data_time: 0.1184 memory: 2821 2022/08/04 12:50:02 - mmengine - INFO - Epoch(val) [120][155/155] acc/top1: 0.6982 acc/top5: 0.8851 acc/mean1: 0.6981 2022/08/04 12:50:02 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_111.pth is removed 2022/08/04 12:50:05 - mmengine - INFO - The best checkpoint with 0.6982 acc/top1 at 121 epoch is saved to best_acc/top1_epoch_121.pth. 2022/08/04 12:50:16 - mmengine - INFO - Epoch(train) [121][20/1879] lr: 1.0000e-03 eta: 1 day, 6:39:27 time: 0.5383 data_time: 0.1224 memory: 17087 grad_norm: 5.9346 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 0.8839 loss: 0.8839 2022/08/04 12:50:24 - mmengine - INFO - Epoch(train) [121][40/1879] lr: 1.0000e-03 eta: 1 day, 6:39:18 time: 0.4331 data_time: 0.0219 memory: 17087 grad_norm: 6.0574 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0056 loss: 1.0056 2022/08/04 12:50:33 - mmengine - INFO - Epoch(train) [121][60/1879] lr: 1.0000e-03 eta: 1 day, 6:39:09 time: 0.4275 data_time: 0.0139 memory: 17087 grad_norm: 5.8385 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9793 loss: 0.9793 2022/08/04 12:50:41 - mmengine - INFO - Epoch(train) [121][80/1879] lr: 1.0000e-03 eta: 1 day, 6:39:01 time: 0.4297 data_time: 0.0180 memory: 17087 grad_norm: 5.7376 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0327 loss: 1.0327 2022/08/04 12:50:50 - mmengine - INFO - Epoch(train) [121][100/1879] lr: 1.0000e-03 eta: 1 day, 6:38:52 time: 0.4307 data_time: 0.0131 memory: 17087 grad_norm: 5.9536 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9258 loss: 0.9258 2022/08/04 12:50:59 - mmengine - INFO - Epoch(train) [121][120/1879] lr: 1.0000e-03 eta: 1 day, 6:38:44 time: 0.4401 data_time: 0.0182 memory: 17087 grad_norm: 5.8291 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 0.9919 loss: 0.9919 2022/08/04 12:51:07 - mmengine - INFO - Epoch(train) [121][140/1879] lr: 1.0000e-03 eta: 1 day, 6:38:35 time: 0.4261 data_time: 0.0140 memory: 17087 grad_norm: 5.8965 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8798 loss: 0.8798 2022/08/04 12:51:16 - mmengine - INFO - Epoch(train) [121][160/1879] lr: 1.0000e-03 eta: 1 day, 6:38:26 time: 0.4327 data_time: 0.0174 memory: 17087 grad_norm: 5.7731 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0512 loss: 1.0512 2022/08/04 12:51:25 - mmengine - INFO - Epoch(train) [121][180/1879] lr: 1.0000e-03 eta: 1 day, 6:38:18 time: 0.4315 data_time: 0.0152 memory: 17087 grad_norm: 5.8932 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9251 loss: 0.9251 2022/08/04 12:51:33 - mmengine - INFO - Epoch(train) [121][200/1879] lr: 1.0000e-03 eta: 1 day, 6:38:09 time: 0.4293 data_time: 0.0182 memory: 17087 grad_norm: 5.8859 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7342 loss: 0.7342 2022/08/04 12:51:42 - mmengine - INFO - Epoch(train) [121][220/1879] lr: 1.0000e-03 eta: 1 day, 6:38:00 time: 0.4270 data_time: 0.0142 memory: 17087 grad_norm: 6.0846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0746 loss: 1.0746 2022/08/04 12:51:51 - mmengine - INFO - Epoch(train) [121][240/1879] lr: 1.0000e-03 eta: 1 day, 6:37:51 time: 0.4325 data_time: 0.0180 memory: 17087 grad_norm: 5.9389 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1447 loss: 1.1447 2022/08/04 12:51:59 - mmengine - INFO - Epoch(train) [121][260/1879] lr: 1.0000e-03 eta: 1 day, 6:37:43 time: 0.4278 data_time: 0.0145 memory: 17087 grad_norm: 6.1123 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0504 loss: 1.0504 2022/08/04 12:52:08 - mmengine - INFO - Epoch(train) [121][280/1879] lr: 1.0000e-03 eta: 1 day, 6:37:34 time: 0.4405 data_time: 0.0176 memory: 17087 grad_norm: 5.9095 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8889 loss: 0.8889 2022/08/04 12:52:17 - mmengine - INFO - Epoch(train) [121][300/1879] lr: 1.0000e-03 eta: 1 day, 6:37:26 time: 0.4283 data_time: 0.0141 memory: 17087 grad_norm: 5.6869 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8436 loss: 0.8436 2022/08/04 12:52:26 - mmengine - INFO - Epoch(train) [121][320/1879] lr: 1.0000e-03 eta: 1 day, 6:37:17 time: 0.4486 data_time: 0.0213 memory: 17087 grad_norm: 6.0962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0289 loss: 1.0289 2022/08/04 12:52:34 - mmengine - INFO - Epoch(train) [121][340/1879] lr: 1.0000e-03 eta: 1 day, 6:37:09 time: 0.4272 data_time: 0.0142 memory: 17087 grad_norm: 5.7390 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9182 loss: 0.9182 2022/08/04 12:52:43 - mmengine - INFO - Epoch(train) [121][360/1879] lr: 1.0000e-03 eta: 1 day, 6:37:00 time: 0.4287 data_time: 0.0182 memory: 17087 grad_norm: 5.8304 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8667 loss: 0.8667 2022/08/04 12:52:51 - mmengine - INFO - Epoch(train) [121][380/1879] lr: 1.0000e-03 eta: 1 day, 6:36:51 time: 0.4392 data_time: 0.0168 memory: 17087 grad_norm: 6.0301 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9699 loss: 0.9699 2022/08/04 12:53:00 - mmengine - INFO - Epoch(train) [121][400/1879] lr: 1.0000e-03 eta: 1 day, 6:36:43 time: 0.4300 data_time: 0.0152 memory: 17087 grad_norm: 5.9102 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0124 loss: 1.0124 2022/08/04 12:53:09 - mmengine - INFO - Epoch(train) [121][420/1879] lr: 1.0000e-03 eta: 1 day, 6:36:35 time: 0.4546 data_time: 0.0211 memory: 17087 grad_norm: 5.7576 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9063 loss: 0.9063 2022/08/04 12:53:18 - mmengine - INFO - Epoch(train) [121][440/1879] lr: 1.0000e-03 eta: 1 day, 6:36:26 time: 0.4286 data_time: 0.0158 memory: 17087 grad_norm: 5.9831 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0851 loss: 1.0851 2022/08/04 12:53:27 - mmengine - INFO - Epoch(train) [121][460/1879] lr: 1.0000e-03 eta: 1 day, 6:36:18 time: 0.4539 data_time: 0.0198 memory: 17087 grad_norm: 6.1235 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9494 loss: 0.9494 2022/08/04 12:53:35 - mmengine - INFO - Epoch(train) [121][480/1879] lr: 1.0000e-03 eta: 1 day, 6:36:09 time: 0.4281 data_time: 0.0167 memory: 17087 grad_norm: 6.1594 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0851 loss: 1.0851 2022/08/04 12:53:44 - mmengine - INFO - Epoch(train) [121][500/1879] lr: 1.0000e-03 eta: 1 day, 6:36:00 time: 0.4275 data_time: 0.0148 memory: 17087 grad_norm: 5.8766 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0619 loss: 1.0619 2022/08/04 12:53:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 12:53:53 - mmengine - INFO - Epoch(train) [121][520/1879] lr: 1.0000e-03 eta: 1 day, 6:35:52 time: 0.4286 data_time: 0.0163 memory: 17087 grad_norm: 5.8207 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0501 loss: 1.0501 2022/08/04 12:54:01 - mmengine - INFO - Epoch(train) [121][540/1879] lr: 1.0000e-03 eta: 1 day, 6:35:43 time: 0.4321 data_time: 0.0149 memory: 17087 grad_norm: 5.8562 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9557 loss: 0.9557 2022/08/04 12:54:10 - mmengine - INFO - Epoch(train) [121][560/1879] lr: 1.0000e-03 eta: 1 day, 6:35:34 time: 0.4292 data_time: 0.0170 memory: 17087 grad_norm: 5.8483 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9164 loss: 0.9164 2022/08/04 12:54:19 - mmengine - INFO - Epoch(train) [121][580/1879] lr: 1.0000e-03 eta: 1 day, 6:35:26 time: 0.4371 data_time: 0.0150 memory: 17087 grad_norm: 5.8484 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9323 loss: 0.9323 2022/08/04 12:54:27 - mmengine - INFO - Epoch(train) [121][600/1879] lr: 1.0000e-03 eta: 1 day, 6:35:17 time: 0.4318 data_time: 0.0197 memory: 17087 grad_norm: 5.8583 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1570 loss: 1.1570 2022/08/04 12:54:36 - mmengine - INFO - Epoch(train) [121][620/1879] lr: 1.0000e-03 eta: 1 day, 6:35:08 time: 0.4324 data_time: 0.0148 memory: 17087 grad_norm: 6.0147 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9498 loss: 0.9498 2022/08/04 12:54:45 - mmengine - INFO - Epoch(train) [121][640/1879] lr: 1.0000e-03 eta: 1 day, 6:35:00 time: 0.4308 data_time: 0.0156 memory: 17087 grad_norm: 5.8975 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9995 loss: 0.9995 2022/08/04 12:54:53 - mmengine - INFO - Epoch(train) [121][660/1879] lr: 1.0000e-03 eta: 1 day, 6:34:51 time: 0.4253 data_time: 0.0126 memory: 17087 grad_norm: 6.0771 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0709 loss: 1.0709 2022/08/04 12:55:02 - mmengine - INFO - Epoch(train) [121][680/1879] lr: 1.0000e-03 eta: 1 day, 6:34:42 time: 0.4307 data_time: 0.0163 memory: 17087 grad_norm: 6.1668 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9941 loss: 0.9941 2022/08/04 12:55:10 - mmengine - INFO - Epoch(train) [121][700/1879] lr: 1.0000e-03 eta: 1 day, 6:34:34 time: 0.4311 data_time: 0.0158 memory: 17087 grad_norm: 5.8327 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9822 loss: 0.9822 2022/08/04 12:55:19 - mmengine - INFO - Epoch(train) [121][720/1879] lr: 1.0000e-03 eta: 1 day, 6:34:25 time: 0.4317 data_time: 0.0168 memory: 17087 grad_norm: 5.7418 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9922 loss: 0.9922 2022/08/04 12:55:28 - mmengine - INFO - Epoch(train) [121][740/1879] lr: 1.0000e-03 eta: 1 day, 6:34:16 time: 0.4315 data_time: 0.0164 memory: 17087 grad_norm: 5.9529 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0015 loss: 1.0015 2022/08/04 12:55:36 - mmengine - INFO - Epoch(train) [121][760/1879] lr: 1.0000e-03 eta: 1 day, 6:34:08 time: 0.4321 data_time: 0.0158 memory: 17087 grad_norm: 6.0894 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0592 loss: 1.0592 2022/08/04 12:55:45 - mmengine - INFO - Epoch(train) [121][780/1879] lr: 1.0000e-03 eta: 1 day, 6:33:59 time: 0.4344 data_time: 0.0160 memory: 17087 grad_norm: 5.9924 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8685 loss: 0.8685 2022/08/04 12:55:54 - mmengine - INFO - Epoch(train) [121][800/1879] lr: 1.0000e-03 eta: 1 day, 6:33:50 time: 0.4279 data_time: 0.0162 memory: 17087 grad_norm: 5.9440 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0423 loss: 1.0423 2022/08/04 12:56:02 - mmengine - INFO - Epoch(train) [121][820/1879] lr: 1.0000e-03 eta: 1 day, 6:33:42 time: 0.4256 data_time: 0.0126 memory: 17087 grad_norm: 6.0669 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9013 loss: 0.9013 2022/08/04 12:56:11 - mmengine - INFO - Epoch(train) [121][840/1879] lr: 1.0000e-03 eta: 1 day, 6:33:33 time: 0.4337 data_time: 0.0177 memory: 17087 grad_norm: 5.9712 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8905 loss: 0.8905 2022/08/04 12:56:19 - mmengine - INFO - Epoch(train) [121][860/1879] lr: 1.0000e-03 eta: 1 day, 6:33:24 time: 0.4285 data_time: 0.0171 memory: 17087 grad_norm: 5.9465 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0631 loss: 1.0631 2022/08/04 12:56:28 - mmengine - INFO - Epoch(train) [121][880/1879] lr: 1.0000e-03 eta: 1 day, 6:33:16 time: 0.4343 data_time: 0.0177 memory: 17087 grad_norm: 5.8085 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8956 loss: 0.8956 2022/08/04 12:56:37 - mmengine - INFO - Epoch(train) [121][900/1879] lr: 1.0000e-03 eta: 1 day, 6:33:07 time: 0.4275 data_time: 0.0149 memory: 17087 grad_norm: 6.0259 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9668 loss: 0.9668 2022/08/04 12:56:45 - mmengine - INFO - Epoch(train) [121][920/1879] lr: 1.0000e-03 eta: 1 day, 6:32:58 time: 0.4389 data_time: 0.0174 memory: 17087 grad_norm: 5.9523 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9548 loss: 0.9548 2022/08/04 12:56:54 - mmengine - INFO - Epoch(train) [121][940/1879] lr: 1.0000e-03 eta: 1 day, 6:32:50 time: 0.4267 data_time: 0.0134 memory: 17087 grad_norm: 6.2025 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0369 loss: 1.0369 2022/08/04 12:57:03 - mmengine - INFO - Epoch(train) [121][960/1879] lr: 1.0000e-03 eta: 1 day, 6:32:41 time: 0.4277 data_time: 0.0175 memory: 17087 grad_norm: 6.0256 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7960 loss: 0.7960 2022/08/04 12:57:12 - mmengine - INFO - Epoch(train) [121][980/1879] lr: 1.0000e-03 eta: 1 day, 6:32:33 time: 0.4542 data_time: 0.0142 memory: 17087 grad_norm: 5.9336 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9401 loss: 0.9401 2022/08/04 12:57:20 - mmengine - INFO - Epoch(train) [121][1000/1879] lr: 1.0000e-03 eta: 1 day, 6:32:24 time: 0.4278 data_time: 0.0160 memory: 17087 grad_norm: 5.9444 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0965 loss: 1.0965 2022/08/04 12:57:29 - mmengine - INFO - Epoch(train) [121][1020/1879] lr: 1.0000e-03 eta: 1 day, 6:32:16 time: 0.4384 data_time: 0.0145 memory: 17087 grad_norm: 6.0113 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9620 loss: 0.9620 2022/08/04 12:57:38 - mmengine - INFO - Epoch(train) [121][1040/1879] lr: 1.0000e-03 eta: 1 day, 6:32:07 time: 0.4277 data_time: 0.0161 memory: 17087 grad_norm: 6.1714 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0799 loss: 1.0799 2022/08/04 12:57:46 - mmengine - INFO - Epoch(train) [121][1060/1879] lr: 1.0000e-03 eta: 1 day, 6:31:58 time: 0.4313 data_time: 0.0164 memory: 17087 grad_norm: 5.9229 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1134 loss: 1.1134 2022/08/04 12:57:55 - mmengine - INFO - Epoch(train) [121][1080/1879] lr: 1.0000e-03 eta: 1 day, 6:31:50 time: 0.4299 data_time: 0.0174 memory: 17087 grad_norm: 6.1619 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9845 loss: 0.9845 2022/08/04 12:58:03 - mmengine - INFO - Epoch(train) [121][1100/1879] lr: 1.0000e-03 eta: 1 day, 6:31:41 time: 0.4257 data_time: 0.0141 memory: 17087 grad_norm: 5.8041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9453 loss: 0.9453 2022/08/04 12:58:12 - mmengine - INFO - Epoch(train) [121][1120/1879] lr: 1.0000e-03 eta: 1 day, 6:31:32 time: 0.4337 data_time: 0.0165 memory: 17087 grad_norm: 6.0639 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1731 loss: 1.1731 2022/08/04 12:58:21 - mmengine - INFO - Epoch(train) [121][1140/1879] lr: 1.0000e-03 eta: 1 day, 6:31:23 time: 0.4256 data_time: 0.0145 memory: 17087 grad_norm: 5.9861 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1600 loss: 1.1600 2022/08/04 12:58:29 - mmengine - INFO - Epoch(train) [121][1160/1879] lr: 1.0000e-03 eta: 1 day, 6:31:15 time: 0.4355 data_time: 0.0174 memory: 17087 grad_norm: 5.9696 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0903 loss: 1.0903 2022/08/04 12:58:38 - mmengine - INFO - Epoch(train) [121][1180/1879] lr: 1.0000e-03 eta: 1 day, 6:31:06 time: 0.4258 data_time: 0.0149 memory: 17087 grad_norm: 6.0387 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0178 loss: 1.0178 2022/08/04 12:58:47 - mmengine - INFO - Epoch(train) [121][1200/1879] lr: 1.0000e-03 eta: 1 day, 6:30:57 time: 0.4351 data_time: 0.0161 memory: 17087 grad_norm: 6.0463 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9970 loss: 0.9970 2022/08/04 12:58:55 - mmengine - INFO - Epoch(train) [121][1220/1879] lr: 1.0000e-03 eta: 1 day, 6:30:49 time: 0.4299 data_time: 0.0167 memory: 17087 grad_norm: 5.9381 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9082 loss: 0.9082 2022/08/04 12:59:04 - mmengine - INFO - Epoch(train) [121][1240/1879] lr: 1.0000e-03 eta: 1 day, 6:30:40 time: 0.4263 data_time: 0.0158 memory: 17087 grad_norm: 5.8390 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9306 loss: 0.9306 2022/08/04 12:59:13 - mmengine - INFO - Epoch(train) [121][1260/1879] lr: 1.0000e-03 eta: 1 day, 6:30:32 time: 0.4443 data_time: 0.0162 memory: 17087 grad_norm: 6.3537 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 1.0779 loss: 1.0779 2022/08/04 12:59:21 - mmengine - INFO - Epoch(train) [121][1280/1879] lr: 1.0000e-03 eta: 1 day, 6:30:23 time: 0.4278 data_time: 0.0165 memory: 17087 grad_norm: 5.8129 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9927 loss: 0.9927 2022/08/04 12:59:30 - mmengine - INFO - Epoch(train) [121][1300/1879] lr: 1.0000e-03 eta: 1 day, 6:30:14 time: 0.4310 data_time: 0.0149 memory: 17087 grad_norm: 5.9885 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7930 loss: 0.7930 2022/08/04 12:59:38 - mmengine - INFO - Epoch(train) [121][1320/1879] lr: 1.0000e-03 eta: 1 day, 6:30:06 time: 0.4292 data_time: 0.0179 memory: 17087 grad_norm: 6.1463 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.2014 loss: 1.2014 2022/08/04 12:59:47 - mmengine - INFO - Epoch(train) [121][1340/1879] lr: 1.0000e-03 eta: 1 day, 6:29:57 time: 0.4526 data_time: 0.0144 memory: 17087 grad_norm: 5.9041 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9492 loss: 0.9492 2022/08/04 12:59:56 - mmengine - INFO - Epoch(train) [121][1360/1879] lr: 1.0000e-03 eta: 1 day, 6:29:49 time: 0.4359 data_time: 0.0179 memory: 17087 grad_norm: 6.0677 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8485 loss: 0.8485 2022/08/04 13:00:05 - mmengine - INFO - Epoch(train) [121][1380/1879] lr: 1.0000e-03 eta: 1 day, 6:29:40 time: 0.4278 data_time: 0.0158 memory: 17087 grad_norm: 5.8836 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1155 loss: 1.1155 2022/08/04 13:00:13 - mmengine - INFO - Epoch(train) [121][1400/1879] lr: 1.0000e-03 eta: 1 day, 6:29:31 time: 0.4292 data_time: 0.0171 memory: 17087 grad_norm: 6.2812 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1366 loss: 1.1366 2022/08/04 13:00:22 - mmengine - INFO - Epoch(train) [121][1420/1879] lr: 1.0000e-03 eta: 1 day, 6:29:23 time: 0.4334 data_time: 0.0151 memory: 17087 grad_norm: 5.8826 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9278 loss: 0.9278 2022/08/04 13:00:31 - mmengine - INFO - Epoch(train) [121][1440/1879] lr: 1.0000e-03 eta: 1 day, 6:29:14 time: 0.4269 data_time: 0.0154 memory: 17087 grad_norm: 6.0155 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1131 loss: 1.1131 2022/08/04 13:00:39 - mmengine - INFO - Epoch(train) [121][1460/1879] lr: 1.0000e-03 eta: 1 day, 6:29:05 time: 0.4308 data_time: 0.0145 memory: 17087 grad_norm: 5.9703 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9741 loss: 0.9741 2022/08/04 13:00:48 - mmengine - INFO - Epoch(train) [121][1480/1879] lr: 1.0000e-03 eta: 1 day, 6:28:57 time: 0.4278 data_time: 0.0163 memory: 17087 grad_norm: 6.1316 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2622 loss: 1.2622 2022/08/04 13:00:57 - mmengine - INFO - Epoch(train) [121][1500/1879] lr: 1.0000e-03 eta: 1 day, 6:28:49 time: 0.4574 data_time: 0.0160 memory: 17087 grad_norm: 5.8265 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9611 loss: 0.9611 2022/08/04 13:01:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 13:01:06 - mmengine - INFO - Epoch(train) [121][1520/1879] lr: 1.0000e-03 eta: 1 day, 6:28:40 time: 0.4308 data_time: 0.0208 memory: 17087 grad_norm: 5.7634 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0271 loss: 1.0271 2022/08/04 13:01:14 - mmengine - INFO - Epoch(train) [121][1540/1879] lr: 1.0000e-03 eta: 1 day, 6:28:31 time: 0.4273 data_time: 0.0148 memory: 17087 grad_norm: 5.8349 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0657 loss: 1.0657 2022/08/04 13:01:23 - mmengine - INFO - Epoch(train) [121][1560/1879] lr: 1.0000e-03 eta: 1 day, 6:28:23 time: 0.4288 data_time: 0.0174 memory: 17087 grad_norm: 6.2144 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0207 loss: 1.0207 2022/08/04 13:01:31 - mmengine - INFO - Epoch(train) [121][1580/1879] lr: 1.0000e-03 eta: 1 day, 6:28:14 time: 0.4260 data_time: 0.0136 memory: 17087 grad_norm: 6.0793 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1359 loss: 1.1359 2022/08/04 13:01:41 - mmengine - INFO - Epoch(train) [121][1600/1879] lr: 1.0000e-03 eta: 1 day, 6:28:06 time: 0.4698 data_time: 0.0174 memory: 17087 grad_norm: 6.0372 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9874 loss: 0.9874 2022/08/04 13:01:49 - mmengine - INFO - Epoch(train) [121][1620/1879] lr: 1.0000e-03 eta: 1 day, 6:27:57 time: 0.4279 data_time: 0.0147 memory: 17087 grad_norm: 5.6918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0070 loss: 1.0070 2022/08/04 13:01:58 - mmengine - INFO - Epoch(train) [121][1640/1879] lr: 1.0000e-03 eta: 1 day, 6:27:49 time: 0.4384 data_time: 0.0177 memory: 17087 grad_norm: 5.9403 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9431 loss: 0.9431 2022/08/04 13:02:07 - mmengine - INFO - Epoch(train) [121][1660/1879] lr: 1.0000e-03 eta: 1 day, 6:27:40 time: 0.4266 data_time: 0.0140 memory: 17087 grad_norm: 6.1216 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1042 loss: 1.1042 2022/08/04 13:02:15 - mmengine - INFO - Epoch(train) [121][1680/1879] lr: 1.0000e-03 eta: 1 day, 6:27:31 time: 0.4336 data_time: 0.0164 memory: 17087 grad_norm: 5.9399 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.9675 loss: 0.9675 2022/08/04 13:02:24 - mmengine - INFO - Epoch(train) [121][1700/1879] lr: 1.0000e-03 eta: 1 day, 6:27:23 time: 0.4266 data_time: 0.0133 memory: 17087 grad_norm: 5.9517 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0109 loss: 1.0109 2022/08/04 13:02:32 - mmengine - INFO - Epoch(train) [121][1720/1879] lr: 1.0000e-03 eta: 1 day, 6:27:14 time: 0.4293 data_time: 0.0159 memory: 17087 grad_norm: 6.2538 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1551 loss: 1.1551 2022/08/04 13:02:42 - mmengine - INFO - Epoch(train) [121][1740/1879] lr: 1.0000e-03 eta: 1 day, 6:27:06 time: 0.4569 data_time: 0.0170 memory: 17087 grad_norm: 5.9799 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9819 loss: 0.9819 2022/08/04 13:02:50 - mmengine - INFO - Epoch(train) [121][1760/1879] lr: 1.0000e-03 eta: 1 day, 6:26:57 time: 0.4293 data_time: 0.0166 memory: 17087 grad_norm: 5.9162 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0650 loss: 1.0650 2022/08/04 13:02:59 - mmengine - INFO - Epoch(train) [121][1780/1879] lr: 1.0000e-03 eta: 1 day, 6:26:49 time: 0.4626 data_time: 0.0161 memory: 17087 grad_norm: 6.0477 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9042 loss: 0.9042 2022/08/04 13:03:08 - mmengine - INFO - Epoch(train) [121][1800/1879] lr: 1.0000e-03 eta: 1 day, 6:26:40 time: 0.4273 data_time: 0.0155 memory: 17087 grad_norm: 6.0537 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9808 loss: 0.9808 2022/08/04 13:03:17 - mmengine - INFO - Epoch(train) [121][1820/1879] lr: 1.0000e-03 eta: 1 day, 6:26:32 time: 0.4471 data_time: 0.0147 memory: 17087 grad_norm: 5.9340 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0785 loss: 1.0785 2022/08/04 13:03:26 - mmengine - INFO - Epoch(train) [121][1840/1879] lr: 1.0000e-03 eta: 1 day, 6:26:24 time: 0.4399 data_time: 0.0175 memory: 17087 grad_norm: 6.0580 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9367 loss: 0.9367 2022/08/04 13:03:34 - mmengine - INFO - Epoch(train) [121][1860/1879] lr: 1.0000e-03 eta: 1 day, 6:26:15 time: 0.4260 data_time: 0.0136 memory: 17087 grad_norm: 5.9845 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8514 loss: 0.8514 2022/08/04 13:03:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 13:03:42 - mmengine - INFO - Epoch(train) [121][1879/1879] lr: 1.0000e-03 eta: 1 day, 6:26:15 time: 0.4089 data_time: 0.0142 memory: 17087 grad_norm: 6.1612 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9361 loss: 0.9361 2022/08/04 13:03:53 - mmengine - INFO - Epoch(train) [122][20/1879] lr: 1.0000e-03 eta: 1 day, 6:25:52 time: 0.5522 data_time: 0.1021 memory: 17087 grad_norm: 5.9453 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9948 loss: 0.9948 2022/08/04 13:04:02 - mmengine - INFO - Epoch(train) [122][40/1879] lr: 1.0000e-03 eta: 1 day, 6:25:43 time: 0.4455 data_time: 0.0184 memory: 17087 grad_norm: 5.9496 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9085 loss: 0.9085 2022/08/04 13:04:11 - mmengine - INFO - Epoch(train) [122][60/1879] lr: 1.0000e-03 eta: 1 day, 6:25:35 time: 0.4351 data_time: 0.0195 memory: 17087 grad_norm: 5.9605 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8302 loss: 0.8302 2022/08/04 13:04:19 - mmengine - INFO - Epoch(train) [122][80/1879] lr: 1.0000e-03 eta: 1 day, 6:25:26 time: 0.4310 data_time: 0.0169 memory: 17087 grad_norm: 5.8474 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9178 loss: 0.9178 2022/08/04 13:04:28 - mmengine - INFO - Epoch(train) [122][100/1879] lr: 1.0000e-03 eta: 1 day, 6:25:17 time: 0.4275 data_time: 0.0143 memory: 17087 grad_norm: 6.1386 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1091 loss: 1.1091 2022/08/04 13:04:37 - mmengine - INFO - Epoch(train) [122][120/1879] lr: 1.0000e-03 eta: 1 day, 6:25:09 time: 0.4287 data_time: 0.0174 memory: 17087 grad_norm: 5.8712 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.1945 loss: 1.1945 2022/08/04 13:04:45 - mmengine - INFO - Epoch(train) [122][140/1879] lr: 1.0000e-03 eta: 1 day, 6:25:00 time: 0.4323 data_time: 0.0143 memory: 17087 grad_norm: 5.9372 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8971 loss: 0.8971 2022/08/04 13:04:54 - mmengine - INFO - Epoch(train) [122][160/1879] lr: 1.0000e-03 eta: 1 day, 6:24:51 time: 0.4253 data_time: 0.0148 memory: 17087 grad_norm: 5.8719 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0940 loss: 1.0940 2022/08/04 13:05:03 - mmengine - INFO - Epoch(train) [122][180/1879] lr: 1.0000e-03 eta: 1 day, 6:24:43 time: 0.4435 data_time: 0.0149 memory: 17087 grad_norm: 5.9829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9774 loss: 0.9774 2022/08/04 13:05:11 - mmengine - INFO - Epoch(train) [122][200/1879] lr: 1.0000e-03 eta: 1 day, 6:24:34 time: 0.4397 data_time: 0.0159 memory: 17087 grad_norm: 6.0825 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9602 loss: 0.9602 2022/08/04 13:05:20 - mmengine - INFO - Epoch(train) [122][220/1879] lr: 1.0000e-03 eta: 1 day, 6:24:26 time: 0.4286 data_time: 0.0161 memory: 17087 grad_norm: 6.0896 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9631 loss: 0.9631 2022/08/04 13:05:29 - mmengine - INFO - Epoch(train) [122][240/1879] lr: 1.0000e-03 eta: 1 day, 6:24:17 time: 0.4312 data_time: 0.0186 memory: 17087 grad_norm: 6.0007 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9157 loss: 0.9157 2022/08/04 13:05:38 - mmengine - INFO - Epoch(train) [122][260/1879] lr: 1.0000e-03 eta: 1 day, 6:24:09 time: 0.4482 data_time: 0.0157 memory: 17087 grad_norm: 6.1736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0056 loss: 1.0056 2022/08/04 13:05:46 - mmengine - INFO - Epoch(train) [122][280/1879] lr: 1.0000e-03 eta: 1 day, 6:24:00 time: 0.4301 data_time: 0.0183 memory: 17087 grad_norm: 5.9985 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9936 loss: 0.9936 2022/08/04 13:05:55 - mmengine - INFO - Epoch(train) [122][300/1879] lr: 1.0000e-03 eta: 1 day, 6:23:52 time: 0.4472 data_time: 0.0142 memory: 17087 grad_norm: 6.0564 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9176 loss: 0.9176 2022/08/04 13:06:04 - mmengine - INFO - Epoch(train) [122][320/1879] lr: 1.0000e-03 eta: 1 day, 6:23:43 time: 0.4291 data_time: 0.0168 memory: 17087 grad_norm: 5.7029 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9712 loss: 0.9712 2022/08/04 13:06:12 - mmengine - INFO - Epoch(train) [122][340/1879] lr: 1.0000e-03 eta: 1 day, 6:23:34 time: 0.4313 data_time: 0.0137 memory: 17087 grad_norm: 5.8058 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9868 loss: 0.9868 2022/08/04 13:06:21 - mmengine - INFO - Epoch(train) [122][360/1879] lr: 1.0000e-03 eta: 1 day, 6:23:26 time: 0.4361 data_time: 0.0176 memory: 17087 grad_norm: 5.9939 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1311 loss: 1.1311 2022/08/04 13:06:30 - mmengine - INFO - Epoch(train) [122][380/1879] lr: 1.0000e-03 eta: 1 day, 6:23:17 time: 0.4278 data_time: 0.0140 memory: 17087 grad_norm: 5.8571 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0659 loss: 1.0659 2022/08/04 13:06:39 - mmengine - INFO - Epoch(train) [122][400/1879] lr: 1.0000e-03 eta: 1 day, 6:23:09 time: 0.4616 data_time: 0.0185 memory: 17087 grad_norm: 6.0481 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0607 loss: 1.0607 2022/08/04 13:06:48 - mmengine - INFO - Epoch(train) [122][420/1879] lr: 1.0000e-03 eta: 1 day, 6:23:00 time: 0.4259 data_time: 0.0155 memory: 17087 grad_norm: 6.1474 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9159 loss: 0.9159 2022/08/04 13:06:56 - mmengine - INFO - Epoch(train) [122][440/1879] lr: 1.0000e-03 eta: 1 day, 6:22:52 time: 0.4416 data_time: 0.0176 memory: 17087 grad_norm: 5.9479 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0269 loss: 1.0269 2022/08/04 13:07:05 - mmengine - INFO - Epoch(train) [122][460/1879] lr: 1.0000e-03 eta: 1 day, 6:22:43 time: 0.4282 data_time: 0.0158 memory: 17087 grad_norm: 6.1797 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0913 loss: 1.0913 2022/08/04 13:07:14 - mmengine - INFO - Epoch(train) [122][480/1879] lr: 1.0000e-03 eta: 1 day, 6:22:34 time: 0.4284 data_time: 0.0159 memory: 17087 grad_norm: 6.0026 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0630 loss: 1.0630 2022/08/04 13:07:23 - mmengine - INFO - Epoch(train) [122][500/1879] lr: 1.0000e-03 eta: 1 day, 6:22:27 time: 0.4697 data_time: 0.0157 memory: 17087 grad_norm: 6.0299 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9326 loss: 0.9326 2022/08/04 13:07:32 - mmengine - INFO - Epoch(train) [122][520/1879] lr: 1.0000e-03 eta: 1 day, 6:22:18 time: 0.4299 data_time: 0.0168 memory: 17087 grad_norm: 6.2009 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0621 loss: 1.0621 2022/08/04 13:07:41 - mmengine - INFO - Epoch(train) [122][540/1879] lr: 1.0000e-03 eta: 1 day, 6:22:10 time: 0.4647 data_time: 0.0151 memory: 17087 grad_norm: 6.0463 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9602 loss: 0.9602 2022/08/04 13:07:49 - mmengine - INFO - Epoch(train) [122][560/1879] lr: 1.0000e-03 eta: 1 day, 6:22:01 time: 0.4287 data_time: 0.0151 memory: 17087 grad_norm: 6.0030 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1715 loss: 1.1715 2022/08/04 13:07:59 - mmengine - INFO - Epoch(train) [122][580/1879] lr: 1.0000e-03 eta: 1 day, 6:21:53 time: 0.4645 data_time: 0.0170 memory: 17087 grad_norm: 6.0624 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0581 loss: 1.0581 2022/08/04 13:08:07 - mmengine - INFO - Epoch(train) [122][600/1879] lr: 1.0000e-03 eta: 1 day, 6:21:45 time: 0.4280 data_time: 0.0163 memory: 17087 grad_norm: 6.0808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0493 loss: 1.0493 2022/08/04 13:08:16 - mmengine - INFO - Epoch(train) [122][620/1879] lr: 1.0000e-03 eta: 1 day, 6:21:36 time: 0.4379 data_time: 0.0143 memory: 17087 grad_norm: 6.0316 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0657 loss: 1.0657 2022/08/04 13:08:25 - mmengine - INFO - Epoch(train) [122][640/1879] lr: 1.0000e-03 eta: 1 day, 6:21:27 time: 0.4281 data_time: 0.0165 memory: 17087 grad_norm: 5.8386 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1378 loss: 1.1378 2022/08/04 13:08:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 13:08:33 - mmengine - INFO - Epoch(train) [122][660/1879] lr: 1.0000e-03 eta: 1 day, 6:21:19 time: 0.4274 data_time: 0.0166 memory: 17087 grad_norm: 6.0358 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1578 loss: 1.1578 2022/08/04 13:08:42 - mmengine - INFO - Epoch(train) [122][680/1879] lr: 1.0000e-03 eta: 1 day, 6:21:10 time: 0.4337 data_time: 0.0171 memory: 17087 grad_norm: 6.1083 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0338 loss: 1.0338 2022/08/04 13:08:50 - mmengine - INFO - Epoch(train) [122][700/1879] lr: 1.0000e-03 eta: 1 day, 6:21:01 time: 0.4250 data_time: 0.0138 memory: 17087 grad_norm: 6.0944 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9801 loss: 0.9801 2022/08/04 13:09:00 - mmengine - INFO - Epoch(train) [122][720/1879] lr: 1.0000e-03 eta: 1 day, 6:20:53 time: 0.4566 data_time: 0.0176 memory: 17087 grad_norm: 6.1111 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2321 loss: 1.2321 2022/08/04 13:09:08 - mmengine - INFO - Epoch(train) [122][740/1879] lr: 1.0000e-03 eta: 1 day, 6:20:45 time: 0.4271 data_time: 0.0144 memory: 17087 grad_norm: 6.0400 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1100 loss: 1.1100 2022/08/04 13:09:17 - mmengine - INFO - Epoch(train) [122][760/1879] lr: 1.0000e-03 eta: 1 day, 6:20:37 time: 0.4633 data_time: 0.0178 memory: 17087 grad_norm: 5.7973 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0051 loss: 1.0051 2022/08/04 13:09:26 - mmengine - INFO - Epoch(train) [122][780/1879] lr: 1.0000e-03 eta: 1 day, 6:20:28 time: 0.4270 data_time: 0.0123 memory: 17087 grad_norm: 5.8545 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9503 loss: 0.9503 2022/08/04 13:09:35 - mmengine - INFO - Epoch(train) [122][800/1879] lr: 1.0000e-03 eta: 1 day, 6:20:19 time: 0.4267 data_time: 0.0153 memory: 17087 grad_norm: 5.7972 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8176 loss: 0.8176 2022/08/04 13:09:43 - mmengine - INFO - Epoch(train) [122][820/1879] lr: 1.0000e-03 eta: 1 day, 6:20:10 time: 0.4323 data_time: 0.0174 memory: 17087 grad_norm: 6.1630 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.0809 loss: 1.0809 2022/08/04 13:09:52 - mmengine - INFO - Epoch(train) [122][840/1879] lr: 1.0000e-03 eta: 1 day, 6:20:02 time: 0.4278 data_time: 0.0164 memory: 17087 grad_norm: 5.8304 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0785 loss: 1.0785 2022/08/04 13:10:01 - mmengine - INFO - Epoch(train) [122][860/1879] lr: 1.0000e-03 eta: 1 day, 6:19:53 time: 0.4363 data_time: 0.0158 memory: 17087 grad_norm: 6.0461 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0207 loss: 1.0207 2022/08/04 13:10:09 - mmengine - INFO - Epoch(train) [122][880/1879] lr: 1.0000e-03 eta: 1 day, 6:19:44 time: 0.4264 data_time: 0.0161 memory: 17087 grad_norm: 5.9471 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8906 loss: 0.8906 2022/08/04 13:10:18 - mmengine - INFO - Epoch(train) [122][900/1879] lr: 1.0000e-03 eta: 1 day, 6:19:36 time: 0.4337 data_time: 0.0160 memory: 17087 grad_norm: 6.0635 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0105 loss: 1.0105 2022/08/04 13:10:26 - mmengine - INFO - Epoch(train) [122][920/1879] lr: 1.0000e-03 eta: 1 day, 6:19:27 time: 0.4298 data_time: 0.0166 memory: 17087 grad_norm: 5.9876 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9577 loss: 0.9577 2022/08/04 13:10:35 - mmengine - INFO - Epoch(train) [122][940/1879] lr: 1.0000e-03 eta: 1 day, 6:19:19 time: 0.4370 data_time: 0.0160 memory: 17087 grad_norm: 6.1427 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.1560 loss: 1.1560 2022/08/04 13:10:44 - mmengine - INFO - Epoch(train) [122][960/1879] lr: 1.0000e-03 eta: 1 day, 6:19:10 time: 0.4260 data_time: 0.0148 memory: 17087 grad_norm: 5.8001 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9976 loss: 0.9976 2022/08/04 13:10:52 - mmengine - INFO - Epoch(train) [122][980/1879] lr: 1.0000e-03 eta: 1 day, 6:19:01 time: 0.4344 data_time: 0.0161 memory: 17087 grad_norm: 5.9210 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0512 loss: 1.0512 2022/08/04 13:11:01 - mmengine - INFO - Epoch(train) [122][1000/1879] lr: 1.0000e-03 eta: 1 day, 6:18:53 time: 0.4297 data_time: 0.0152 memory: 17087 grad_norm: 6.0550 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1374 loss: 1.1374 2022/08/04 13:11:10 - mmengine - INFO - Epoch(train) [122][1020/1879] lr: 1.0000e-03 eta: 1 day, 6:18:44 time: 0.4323 data_time: 0.0171 memory: 17087 grad_norm: 6.0164 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8916 loss: 0.8916 2022/08/04 13:11:18 - mmengine - INFO - Epoch(train) [122][1040/1879] lr: 1.0000e-03 eta: 1 day, 6:18:35 time: 0.4397 data_time: 0.0186 memory: 17087 grad_norm: 5.9688 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8962 loss: 0.8962 2022/08/04 13:11:27 - mmengine - INFO - Epoch(train) [122][1060/1879] lr: 1.0000e-03 eta: 1 day, 6:18:27 time: 0.4311 data_time: 0.0153 memory: 17087 grad_norm: 6.0979 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0895 loss: 1.0895 2022/08/04 13:11:36 - mmengine - INFO - Epoch(train) [122][1080/1879] lr: 1.0000e-03 eta: 1 day, 6:18:18 time: 0.4294 data_time: 0.0155 memory: 17087 grad_norm: 6.0859 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9050 loss: 0.9050 2022/08/04 13:11:44 - mmengine - INFO - Epoch(train) [122][1100/1879] lr: 1.0000e-03 eta: 1 day, 6:18:09 time: 0.4273 data_time: 0.0140 memory: 17087 grad_norm: 5.9327 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9761 loss: 0.9761 2022/08/04 13:11:53 - mmengine - INFO - Epoch(train) [122][1120/1879] lr: 1.0000e-03 eta: 1 day, 6:18:01 time: 0.4311 data_time: 0.0157 memory: 17087 grad_norm: 6.1181 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0414 loss: 1.0414 2022/08/04 13:12:01 - mmengine - INFO - Epoch(train) [122][1140/1879] lr: 1.0000e-03 eta: 1 day, 6:17:52 time: 0.4314 data_time: 0.0152 memory: 17087 grad_norm: 5.8795 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9910 loss: 0.9910 2022/08/04 13:12:11 - mmengine - INFO - Epoch(train) [122][1160/1879] lr: 1.0000e-03 eta: 1 day, 6:17:44 time: 0.4506 data_time: 0.0192 memory: 17087 grad_norm: 5.9829 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8536 loss: 0.8536 2022/08/04 13:12:19 - mmengine - INFO - Epoch(train) [122][1180/1879] lr: 1.0000e-03 eta: 1 day, 6:17:35 time: 0.4262 data_time: 0.0141 memory: 17087 grad_norm: 6.0940 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9710 loss: 0.9710 2022/08/04 13:12:28 - mmengine - INFO - Epoch(train) [122][1200/1879] lr: 1.0000e-03 eta: 1 day, 6:17:27 time: 0.4458 data_time: 0.0180 memory: 17087 grad_norm: 6.0489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1411 loss: 1.1411 2022/08/04 13:12:37 - mmengine - INFO - Epoch(train) [122][1220/1879] lr: 1.0000e-03 eta: 1 day, 6:17:18 time: 0.4273 data_time: 0.0139 memory: 17087 grad_norm: 6.0611 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0130 loss: 1.0130 2022/08/04 13:12:45 - mmengine - INFO - Epoch(train) [122][1240/1879] lr: 1.0000e-03 eta: 1 day, 6:17:09 time: 0.4340 data_time: 0.0158 memory: 17087 grad_norm: 6.2468 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1723 loss: 1.1723 2022/08/04 13:12:54 - mmengine - INFO - Epoch(train) [122][1260/1879] lr: 1.0000e-03 eta: 1 day, 6:17:01 time: 0.4525 data_time: 0.0146 memory: 17087 grad_norm: 5.9292 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9694 loss: 0.9694 2022/08/04 13:13:03 - mmengine - INFO - Epoch(train) [122][1280/1879] lr: 1.0000e-03 eta: 1 day, 6:16:52 time: 0.4272 data_time: 0.0147 memory: 17087 grad_norm: 6.0411 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8857 loss: 0.8857 2022/08/04 13:13:12 - mmengine - INFO - Epoch(train) [122][1300/1879] lr: 1.0000e-03 eta: 1 day, 6:16:44 time: 0.4328 data_time: 0.0160 memory: 17087 grad_norm: 6.1648 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9765 loss: 0.9765 2022/08/04 13:13:20 - mmengine - INFO - Epoch(train) [122][1320/1879] lr: 1.0000e-03 eta: 1 day, 6:16:35 time: 0.4284 data_time: 0.0150 memory: 17087 grad_norm: 6.1119 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9972 loss: 0.9972 2022/08/04 13:13:29 - mmengine - INFO - Epoch(train) [122][1340/1879] lr: 1.0000e-03 eta: 1 day, 6:16:27 time: 0.4333 data_time: 0.0162 memory: 17087 grad_norm: 6.1798 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9341 loss: 0.9341 2022/08/04 13:13:37 - mmengine - INFO - Epoch(train) [122][1360/1879] lr: 1.0000e-03 eta: 1 day, 6:16:18 time: 0.4281 data_time: 0.0149 memory: 17087 grad_norm: 6.1089 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9802 loss: 0.9802 2022/08/04 13:13:46 - mmengine - INFO - Epoch(train) [122][1380/1879] lr: 1.0000e-03 eta: 1 day, 6:16:09 time: 0.4341 data_time: 0.0156 memory: 17087 grad_norm: 6.1792 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8712 loss: 0.8712 2022/08/04 13:13:55 - mmengine - INFO - Epoch(train) [122][1400/1879] lr: 1.0000e-03 eta: 1 day, 6:16:00 time: 0.4261 data_time: 0.0148 memory: 17087 grad_norm: 5.9731 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9516 loss: 0.9516 2022/08/04 13:14:03 - mmengine - INFO - Epoch(train) [122][1420/1879] lr: 1.0000e-03 eta: 1 day, 6:15:52 time: 0.4262 data_time: 0.0139 memory: 17087 grad_norm: 5.9146 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9867 loss: 0.9867 2022/08/04 13:14:12 - mmengine - INFO - Epoch(train) [122][1440/1879] lr: 1.0000e-03 eta: 1 day, 6:15:43 time: 0.4309 data_time: 0.0158 memory: 17087 grad_norm: 6.1580 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9416 loss: 0.9416 2022/08/04 13:14:20 - mmengine - INFO - Epoch(train) [122][1460/1879] lr: 1.0000e-03 eta: 1 day, 6:15:34 time: 0.4339 data_time: 0.0196 memory: 17087 grad_norm: 5.8786 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9852 loss: 0.9852 2022/08/04 13:14:29 - mmengine - INFO - Epoch(train) [122][1480/1879] lr: 1.0000e-03 eta: 1 day, 6:15:26 time: 0.4281 data_time: 0.0154 memory: 17087 grad_norm: 6.0467 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0382 loss: 1.0382 2022/08/04 13:14:38 - mmengine - INFO - Epoch(train) [122][1500/1879] lr: 1.0000e-03 eta: 1 day, 6:15:17 time: 0.4372 data_time: 0.0213 memory: 17087 grad_norm: 6.0830 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0762 loss: 1.0762 2022/08/04 13:14:47 - mmengine - INFO - Epoch(train) [122][1520/1879] lr: 1.0000e-03 eta: 1 day, 6:15:09 time: 0.4410 data_time: 0.0164 memory: 17087 grad_norm: 5.9446 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9307 loss: 0.9307 2022/08/04 13:14:55 - mmengine - INFO - Epoch(train) [122][1540/1879] lr: 1.0000e-03 eta: 1 day, 6:15:00 time: 0.4275 data_time: 0.0137 memory: 17087 grad_norm: 6.0972 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0327 loss: 1.0327 2022/08/04 13:15:04 - mmengine - INFO - Epoch(train) [122][1560/1879] lr: 1.0000e-03 eta: 1 day, 6:14:51 time: 0.4329 data_time: 0.0197 memory: 17087 grad_norm: 5.9893 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.2499 loss: 1.2499 2022/08/04 13:15:13 - mmengine - INFO - Epoch(train) [122][1580/1879] lr: 1.0000e-03 eta: 1 day, 6:14:43 time: 0.4327 data_time: 0.0155 memory: 17087 grad_norm: 6.0993 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0638 loss: 1.0638 2022/08/04 13:15:22 - mmengine - INFO - Epoch(train) [122][1600/1879] lr: 1.0000e-03 eta: 1 day, 6:14:35 time: 0.4542 data_time: 0.0194 memory: 17087 grad_norm: 6.0963 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9543 loss: 0.9543 2022/08/04 13:15:30 - mmengine - INFO - Epoch(train) [122][1620/1879] lr: 1.0000e-03 eta: 1 day, 6:14:26 time: 0.4263 data_time: 0.0135 memory: 17087 grad_norm: 5.7632 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8799 loss: 0.8799 2022/08/04 13:15:39 - mmengine - INFO - Epoch(train) [122][1640/1879] lr: 1.0000e-03 eta: 1 day, 6:14:18 time: 0.4534 data_time: 0.0172 memory: 17087 grad_norm: 5.9847 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8850 loss: 0.8850 2022/08/04 13:15:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 13:15:48 - mmengine - INFO - Epoch(train) [122][1660/1879] lr: 1.0000e-03 eta: 1 day, 6:14:09 time: 0.4348 data_time: 0.0149 memory: 17087 grad_norm: 6.3574 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1067 loss: 1.1067 2022/08/04 13:15:57 - mmengine - INFO - Epoch(train) [122][1680/1879] lr: 1.0000e-03 eta: 1 day, 6:14:01 time: 0.4386 data_time: 0.0184 memory: 17087 grad_norm: 5.9512 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0528 loss: 1.0528 2022/08/04 13:16:05 - mmengine - INFO - Epoch(train) [122][1700/1879] lr: 1.0000e-03 eta: 1 day, 6:13:52 time: 0.4265 data_time: 0.0148 memory: 17087 grad_norm: 6.0111 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8552 loss: 0.8552 2022/08/04 13:16:14 - mmengine - INFO - Epoch(train) [122][1720/1879] lr: 1.0000e-03 eta: 1 day, 6:13:43 time: 0.4295 data_time: 0.0165 memory: 17087 grad_norm: 6.0644 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8230 loss: 0.8230 2022/08/04 13:16:23 - mmengine - INFO - Epoch(train) [122][1740/1879] lr: 1.0000e-03 eta: 1 day, 6:13:35 time: 0.4532 data_time: 0.0161 memory: 17087 grad_norm: 5.9226 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8912 loss: 0.8912 2022/08/04 13:16:32 - mmengine - INFO - Epoch(train) [122][1760/1879] lr: 1.0000e-03 eta: 1 day, 6:13:26 time: 0.4315 data_time: 0.0161 memory: 17087 grad_norm: 6.1427 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8899 loss: 0.8899 2022/08/04 13:16:41 - mmengine - INFO - Epoch(train) [122][1780/1879] lr: 1.0000e-03 eta: 1 day, 6:13:18 time: 0.4499 data_time: 0.0164 memory: 17087 grad_norm: 6.0606 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.9912 loss: 0.9912 2022/08/04 13:16:49 - mmengine - INFO - Epoch(train) [122][1800/1879] lr: 1.0000e-03 eta: 1 day, 6:13:09 time: 0.4316 data_time: 0.0198 memory: 17087 grad_norm: 6.1816 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0571 loss: 1.0571 2022/08/04 13:16:58 - mmengine - INFO - Epoch(train) [122][1820/1879] lr: 1.0000e-03 eta: 1 day, 6:13:01 time: 0.4450 data_time: 0.0158 memory: 17087 grad_norm: 6.1854 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0515 loss: 1.0515 2022/08/04 13:17:07 - mmengine - INFO - Epoch(train) [122][1840/1879] lr: 1.0000e-03 eta: 1 day, 6:12:52 time: 0.4325 data_time: 0.0172 memory: 17087 grad_norm: 6.0390 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9794 loss: 0.9794 2022/08/04 13:17:16 - mmengine - INFO - Epoch(train) [122][1860/1879] lr: 1.0000e-03 eta: 1 day, 6:12:44 time: 0.4393 data_time: 0.0166 memory: 17087 grad_norm: 6.1169 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0491 loss: 1.0491 2022/08/04 13:17:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 13:17:23 - mmengine - INFO - Epoch(train) [122][1879/1879] lr: 1.0000e-03 eta: 1 day, 6:12:44 time: 0.4072 data_time: 0.0146 memory: 17087 grad_norm: 6.1223 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9668 loss: 0.9668 2022/08/04 13:17:35 - mmengine - INFO - Epoch(train) [123][20/1879] lr: 1.0000e-03 eta: 1 day, 6:12:21 time: 0.5547 data_time: 0.1298 memory: 17087 grad_norm: 6.0923 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9799 loss: 0.9799 2022/08/04 13:17:43 - mmengine - INFO - Epoch(train) [123][40/1879] lr: 1.0000e-03 eta: 1 day, 6:12:12 time: 0.4297 data_time: 0.0175 memory: 17087 grad_norm: 5.9474 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0241 loss: 1.0241 2022/08/04 13:17:52 - mmengine - INFO - Epoch(train) [123][60/1879] lr: 1.0000e-03 eta: 1 day, 6:12:04 time: 0.4359 data_time: 0.0144 memory: 17087 grad_norm: 6.1107 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9937 loss: 0.9937 2022/08/04 13:18:01 - mmengine - INFO - Epoch(train) [123][80/1879] lr: 1.0000e-03 eta: 1 day, 6:11:55 time: 0.4321 data_time: 0.0206 memory: 17087 grad_norm: 6.1243 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9546 loss: 0.9546 2022/08/04 13:18:09 - mmengine - INFO - Epoch(train) [123][100/1879] lr: 1.0000e-03 eta: 1 day, 6:11:46 time: 0.4384 data_time: 0.0155 memory: 17087 grad_norm: 6.2381 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9105 loss: 0.9105 2022/08/04 13:18:18 - mmengine - INFO - Epoch(train) [123][120/1879] lr: 1.0000e-03 eta: 1 day, 6:11:38 time: 0.4336 data_time: 0.0207 memory: 17087 grad_norm: 6.0889 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9889 loss: 0.9889 2022/08/04 13:18:27 - mmengine - INFO - Epoch(train) [123][140/1879] lr: 1.0000e-03 eta: 1 day, 6:11:29 time: 0.4351 data_time: 0.0145 memory: 17087 grad_norm: 5.8391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0734 loss: 1.0734 2022/08/04 13:18:35 - mmengine - INFO - Epoch(train) [123][160/1879] lr: 1.0000e-03 eta: 1 day, 6:11:21 time: 0.4283 data_time: 0.0168 memory: 17087 grad_norm: 6.0345 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9850 loss: 0.9850 2022/08/04 13:18:44 - mmengine - INFO - Epoch(train) [123][180/1879] lr: 1.0000e-03 eta: 1 day, 6:11:12 time: 0.4281 data_time: 0.0149 memory: 17087 grad_norm: 6.1149 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9728 loss: 0.9728 2022/08/04 13:18:53 - mmengine - INFO - Epoch(train) [123][200/1879] lr: 1.0000e-03 eta: 1 day, 6:11:04 time: 0.4592 data_time: 0.0169 memory: 17087 grad_norm: 6.0925 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9574 loss: 0.9574 2022/08/04 13:19:02 - mmengine - INFO - Epoch(train) [123][220/1879] lr: 1.0000e-03 eta: 1 day, 6:10:55 time: 0.4379 data_time: 0.0194 memory: 17087 grad_norm: 6.1136 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0677 loss: 1.0677 2022/08/04 13:19:11 - mmengine - INFO - Epoch(train) [123][240/1879] lr: 1.0000e-03 eta: 1 day, 6:10:47 time: 0.4534 data_time: 0.0171 memory: 17087 grad_norm: 6.2310 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9181 loss: 0.9181 2022/08/04 13:19:20 - mmengine - INFO - Epoch(train) [123][260/1879] lr: 1.0000e-03 eta: 1 day, 6:10:38 time: 0.4296 data_time: 0.0161 memory: 17087 grad_norm: 5.8838 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8945 loss: 0.8945 2022/08/04 13:19:29 - mmengine - INFO - Epoch(train) [123][280/1879] lr: 1.0000e-03 eta: 1 day, 6:10:31 time: 0.4635 data_time: 0.0224 memory: 17087 grad_norm: 5.9120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1148 loss: 1.1148 2022/08/04 13:19:38 - mmengine - INFO - Epoch(train) [123][300/1879] lr: 1.0000e-03 eta: 1 day, 6:10:22 time: 0.4356 data_time: 0.0200 memory: 17087 grad_norm: 5.8700 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9931 loss: 0.9931 2022/08/04 13:19:46 - mmengine - INFO - Epoch(train) [123][320/1879] lr: 1.0000e-03 eta: 1 day, 6:10:13 time: 0.4300 data_time: 0.0147 memory: 17087 grad_norm: 5.9479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1368 loss: 1.1368 2022/08/04 13:19:55 - mmengine - INFO - Epoch(train) [123][340/1879] lr: 1.0000e-03 eta: 1 day, 6:10:05 time: 0.4281 data_time: 0.0152 memory: 17087 grad_norm: 6.0855 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9483 loss: 0.9483 2022/08/04 13:20:03 - mmengine - INFO - Epoch(train) [123][360/1879] lr: 1.0000e-03 eta: 1 day, 6:09:56 time: 0.4340 data_time: 0.0171 memory: 17087 grad_norm: 6.0172 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8968 loss: 0.8968 2022/08/04 13:20:12 - mmengine - INFO - Epoch(train) [123][380/1879] lr: 1.0000e-03 eta: 1 day, 6:09:47 time: 0.4270 data_time: 0.0150 memory: 17087 grad_norm: 5.7598 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7931 loss: 0.7931 2022/08/04 13:20:21 - mmengine - INFO - Epoch(train) [123][400/1879] lr: 1.0000e-03 eta: 1 day, 6:09:39 time: 0.4393 data_time: 0.0220 memory: 17087 grad_norm: 5.9564 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9565 loss: 0.9565 2022/08/04 13:20:29 - mmengine - INFO - Epoch(train) [123][420/1879] lr: 1.0000e-03 eta: 1 day, 6:09:30 time: 0.4291 data_time: 0.0151 memory: 17087 grad_norm: 5.7884 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0799 loss: 1.0799 2022/08/04 13:20:38 - mmengine - INFO - Epoch(train) [123][440/1879] lr: 1.0000e-03 eta: 1 day, 6:09:21 time: 0.4341 data_time: 0.0163 memory: 17087 grad_norm: 6.0252 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9768 loss: 0.9768 2022/08/04 13:20:47 - mmengine - INFO - Epoch(train) [123][460/1879] lr: 1.0000e-03 eta: 1 day, 6:09:13 time: 0.4364 data_time: 0.0234 memory: 17087 grad_norm: 6.0821 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0756 loss: 1.0756 2022/08/04 13:20:55 - mmengine - INFO - Epoch(train) [123][480/1879] lr: 1.0000e-03 eta: 1 day, 6:09:04 time: 0.4279 data_time: 0.0150 memory: 17087 grad_norm: 5.9840 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8849 loss: 0.8849 2022/08/04 13:21:04 - mmengine - INFO - Epoch(train) [123][500/1879] lr: 1.0000e-03 eta: 1 day, 6:08:55 time: 0.4285 data_time: 0.0162 memory: 17087 grad_norm: 6.1490 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0344 loss: 1.0344 2022/08/04 13:21:13 - mmengine - INFO - Epoch(train) [123][520/1879] lr: 1.0000e-03 eta: 1 day, 6:08:47 time: 0.4305 data_time: 0.0170 memory: 17087 grad_norm: 5.9947 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9724 loss: 0.9724 2022/08/04 13:21:21 - mmengine - INFO - Epoch(train) [123][540/1879] lr: 1.0000e-03 eta: 1 day, 6:08:38 time: 0.4264 data_time: 0.0151 memory: 17087 grad_norm: 5.9411 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9014 loss: 0.9014 2022/08/04 13:21:30 - mmengine - INFO - Epoch(train) [123][560/1879] lr: 1.0000e-03 eta: 1 day, 6:08:30 time: 0.4549 data_time: 0.0177 memory: 17087 grad_norm: 5.8619 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7726 loss: 0.7726 2022/08/04 13:21:39 - mmengine - INFO - Epoch(train) [123][580/1879] lr: 1.0000e-03 eta: 1 day, 6:08:21 time: 0.4270 data_time: 0.0148 memory: 17087 grad_norm: 5.7867 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8969 loss: 0.8969 2022/08/04 13:21:48 - mmengine - INFO - Epoch(train) [123][600/1879] lr: 1.0000e-03 eta: 1 day, 6:08:13 time: 0.4680 data_time: 0.0220 memory: 17087 grad_norm: 6.0127 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1446 loss: 1.1446 2022/08/04 13:21:57 - mmengine - INFO - Epoch(train) [123][620/1879] lr: 1.0000e-03 eta: 1 day, 6:08:05 time: 0.4283 data_time: 0.0140 memory: 17087 grad_norm: 6.0338 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9527 loss: 0.9527 2022/08/04 13:22:06 - mmengine - INFO - Epoch(train) [123][640/1879] lr: 1.0000e-03 eta: 1 day, 6:07:56 time: 0.4406 data_time: 0.0283 memory: 17087 grad_norm: 5.7988 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0115 loss: 1.0115 2022/08/04 13:22:15 - mmengine - INFO - Epoch(train) [123][660/1879] lr: 1.0000e-03 eta: 1 day, 6:07:48 time: 0.4659 data_time: 0.0158 memory: 17087 grad_norm: 6.0071 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8993 loss: 0.8993 2022/08/04 13:22:24 - mmengine - INFO - Epoch(train) [123][680/1879] lr: 1.0000e-03 eta: 1 day, 6:07:40 time: 0.4275 data_time: 0.0155 memory: 17087 grad_norm: 5.9363 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0398 loss: 1.0398 2022/08/04 13:22:32 - mmengine - INFO - Epoch(train) [123][700/1879] lr: 1.0000e-03 eta: 1 day, 6:07:31 time: 0.4395 data_time: 0.0167 memory: 17087 grad_norm: 5.9808 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1181 loss: 1.1181 2022/08/04 13:22:41 - mmengine - INFO - Epoch(train) [123][720/1879] lr: 1.0000e-03 eta: 1 day, 6:07:22 time: 0.4275 data_time: 0.0162 memory: 17087 grad_norm: 6.0327 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9503 loss: 0.9503 2022/08/04 13:22:50 - mmengine - INFO - Epoch(train) [123][740/1879] lr: 1.0000e-03 eta: 1 day, 6:07:14 time: 0.4671 data_time: 0.0157 memory: 17087 grad_norm: 6.0626 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1739 loss: 1.1739 2022/08/04 13:22:59 - mmengine - INFO - Epoch(train) [123][760/1879] lr: 1.0000e-03 eta: 1 day, 6:07:06 time: 0.4277 data_time: 0.0168 memory: 17087 grad_norm: 6.0923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0651 loss: 1.0651 2022/08/04 13:23:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 13:23:08 - mmengine - INFO - Epoch(train) [123][780/1879] lr: 1.0000e-03 eta: 1 day, 6:06:57 time: 0.4380 data_time: 0.0161 memory: 17087 grad_norm: 6.2065 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9274 loss: 0.9274 2022/08/04 13:23:16 - mmengine - INFO - Epoch(train) [123][800/1879] lr: 1.0000e-03 eta: 1 day, 6:06:48 time: 0.4293 data_time: 0.0157 memory: 17087 grad_norm: 6.0933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9934 loss: 0.9934 2022/08/04 13:23:25 - mmengine - INFO - Epoch(train) [123][820/1879] lr: 1.0000e-03 eta: 1 day, 6:06:40 time: 0.4295 data_time: 0.0148 memory: 17087 grad_norm: 6.0453 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9677 loss: 0.9677 2022/08/04 13:23:34 - mmengine - INFO - Epoch(train) [123][840/1879] lr: 1.0000e-03 eta: 1 day, 6:06:32 time: 0.4526 data_time: 0.0181 memory: 17087 grad_norm: 5.9137 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0947 loss: 1.0947 2022/08/04 13:23:42 - mmengine - INFO - Epoch(train) [123][860/1879] lr: 1.0000e-03 eta: 1 day, 6:06:23 time: 0.4283 data_time: 0.0152 memory: 17087 grad_norm: 6.0850 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9905 loss: 0.9905 2022/08/04 13:23:51 - mmengine - INFO - Epoch(train) [123][880/1879] lr: 1.0000e-03 eta: 1 day, 6:06:14 time: 0.4364 data_time: 0.0173 memory: 17087 grad_norm: 6.2079 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0106 loss: 1.0106 2022/08/04 13:24:00 - mmengine - INFO - Epoch(train) [123][900/1879] lr: 1.0000e-03 eta: 1 day, 6:06:06 time: 0.4255 data_time: 0.0146 memory: 17087 grad_norm: 5.9489 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1782 loss: 1.1782 2022/08/04 13:24:09 - mmengine - INFO - Epoch(train) [123][920/1879] lr: 1.0000e-03 eta: 1 day, 6:05:57 time: 0.4507 data_time: 0.0161 memory: 17087 grad_norm: 6.1985 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0605 loss: 1.0605 2022/08/04 13:24:18 - mmengine - INFO - Epoch(train) [123][940/1879] lr: 1.0000e-03 eta: 1 day, 6:05:49 time: 0.4392 data_time: 0.0158 memory: 17087 grad_norm: 6.0554 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0805 loss: 1.0805 2022/08/04 13:24:26 - mmengine - INFO - Epoch(train) [123][960/1879] lr: 1.0000e-03 eta: 1 day, 6:05:40 time: 0.4277 data_time: 0.0171 memory: 17087 grad_norm: 6.0687 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9041 loss: 0.9041 2022/08/04 13:24:35 - mmengine - INFO - Epoch(train) [123][980/1879] lr: 1.0000e-03 eta: 1 day, 6:05:31 time: 0.4295 data_time: 0.0132 memory: 17087 grad_norm: 5.8883 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0680 loss: 1.0680 2022/08/04 13:24:44 - mmengine - INFO - Epoch(train) [123][1000/1879] lr: 1.0000e-03 eta: 1 day, 6:05:23 time: 0.4533 data_time: 0.0178 memory: 17087 grad_norm: 5.9309 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2113 loss: 1.2113 2022/08/04 13:24:52 - mmengine - INFO - Epoch(train) [123][1020/1879] lr: 1.0000e-03 eta: 1 day, 6:05:15 time: 0.4280 data_time: 0.0150 memory: 17087 grad_norm: 6.2562 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0694 loss: 1.0694 2022/08/04 13:25:02 - mmengine - INFO - Epoch(train) [123][1040/1879] lr: 1.0000e-03 eta: 1 day, 6:05:06 time: 0.4585 data_time: 0.0198 memory: 17087 grad_norm: 6.0541 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6897 loss: 0.6897 2022/08/04 13:25:10 - mmengine - INFO - Epoch(train) [123][1060/1879] lr: 1.0000e-03 eta: 1 day, 6:04:58 time: 0.4346 data_time: 0.0130 memory: 17087 grad_norm: 6.0514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9157 loss: 0.9157 2022/08/04 13:25:19 - mmengine - INFO - Epoch(train) [123][1080/1879] lr: 1.0000e-03 eta: 1 day, 6:04:50 time: 0.4587 data_time: 0.0173 memory: 17087 grad_norm: 5.8190 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9116 loss: 0.9116 2022/08/04 13:25:28 - mmengine - INFO - Epoch(train) [123][1100/1879] lr: 1.0000e-03 eta: 1 day, 6:04:41 time: 0.4265 data_time: 0.0130 memory: 17087 grad_norm: 6.1609 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0444 loss: 1.0444 2022/08/04 13:25:37 - mmengine - INFO - Epoch(train) [123][1120/1879] lr: 1.0000e-03 eta: 1 day, 6:04:33 time: 0.4652 data_time: 0.0232 memory: 17087 grad_norm: 5.8866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0568 loss: 1.0568 2022/08/04 13:25:46 - mmengine - INFO - Epoch(train) [123][1140/1879] lr: 1.0000e-03 eta: 1 day, 6:04:24 time: 0.4287 data_time: 0.0161 memory: 17087 grad_norm: 5.9891 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0657 loss: 1.0657 2022/08/04 13:25:55 - mmengine - INFO - Epoch(train) [123][1160/1879] lr: 1.0000e-03 eta: 1 day, 6:04:16 time: 0.4356 data_time: 0.0211 memory: 17087 grad_norm: 6.2348 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0493 loss: 1.0493 2022/08/04 13:26:04 - mmengine - INFO - Epoch(train) [123][1180/1879] lr: 1.0000e-03 eta: 1 day, 6:04:08 time: 0.4613 data_time: 0.0147 memory: 17087 grad_norm: 5.9122 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9694 loss: 0.9694 2022/08/04 13:26:13 - mmengine - INFO - Epoch(train) [123][1200/1879] lr: 1.0000e-03 eta: 1 day, 6:03:59 time: 0.4285 data_time: 0.0158 memory: 17087 grad_norm: 5.9916 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9509 loss: 0.9509 2022/08/04 13:26:22 - mmengine - INFO - Epoch(train) [123][1220/1879] lr: 1.0000e-03 eta: 1 day, 6:03:51 time: 0.4725 data_time: 0.0227 memory: 17087 grad_norm: 6.0438 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9632 loss: 0.9632 2022/08/04 13:26:31 - mmengine - INFO - Epoch(train) [123][1240/1879] lr: 1.0000e-03 eta: 1 day, 6:03:43 time: 0.4296 data_time: 0.0168 memory: 17087 grad_norm: 6.1708 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1035 loss: 1.1035 2022/08/04 13:26:39 - mmengine - INFO - Epoch(train) [123][1260/1879] lr: 1.0000e-03 eta: 1 day, 6:03:34 time: 0.4380 data_time: 0.0213 memory: 17087 grad_norm: 6.1681 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0657 loss: 1.0657 2022/08/04 13:26:48 - mmengine - INFO - Epoch(train) [123][1280/1879] lr: 1.0000e-03 eta: 1 day, 6:03:26 time: 0.4300 data_time: 0.0159 memory: 17087 grad_norm: 6.0312 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1650 loss: 1.1650 2022/08/04 13:26:57 - mmengine - INFO - Epoch(train) [123][1300/1879] lr: 1.0000e-03 eta: 1 day, 6:03:17 time: 0.4366 data_time: 0.0170 memory: 17087 grad_norm: 6.2318 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1709 loss: 1.1709 2022/08/04 13:27:06 - mmengine - INFO - Epoch(train) [123][1320/1879] lr: 1.0000e-03 eta: 1 day, 6:03:09 time: 0.4606 data_time: 0.0172 memory: 17087 grad_norm: 6.0839 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9878 loss: 0.9878 2022/08/04 13:27:15 - mmengine - INFO - Epoch(train) [123][1340/1879] lr: 1.0000e-03 eta: 1 day, 6:03:00 time: 0.4274 data_time: 0.0161 memory: 17087 grad_norm: 5.9696 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9972 loss: 0.9972 2022/08/04 13:27:24 - mmengine - INFO - Epoch(train) [123][1360/1879] lr: 1.0000e-03 eta: 1 day, 6:02:53 time: 0.4768 data_time: 0.0223 memory: 17087 grad_norm: 6.0337 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0192 loss: 1.0192 2022/08/04 13:27:33 - mmengine - INFO - Epoch(train) [123][1380/1879] lr: 1.0000e-03 eta: 1 day, 6:02:44 time: 0.4267 data_time: 0.0145 memory: 17087 grad_norm: 6.0864 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 1.0468 loss: 1.0468 2022/08/04 13:27:42 - mmengine - INFO - Epoch(train) [123][1400/1879] lr: 1.0000e-03 eta: 1 day, 6:02:36 time: 0.4640 data_time: 0.0219 memory: 17087 grad_norm: 6.1250 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1725 loss: 1.1725 2022/08/04 13:27:50 - mmengine - INFO - Epoch(train) [123][1420/1879] lr: 1.0000e-03 eta: 1 day, 6:02:27 time: 0.4277 data_time: 0.0156 memory: 17087 grad_norm: 6.2089 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9483 loss: 0.9483 2022/08/04 13:28:00 - mmengine - INFO - Epoch(train) [123][1440/1879] lr: 1.0000e-03 eta: 1 day, 6:02:19 time: 0.4698 data_time: 0.0249 memory: 17087 grad_norm: 6.0329 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9909 loss: 0.9909 2022/08/04 13:28:08 - mmengine - INFO - Epoch(train) [123][1460/1879] lr: 1.0000e-03 eta: 1 day, 6:02:11 time: 0.4273 data_time: 0.0153 memory: 17087 grad_norm: 6.2941 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0347 loss: 1.0347 2022/08/04 13:28:18 - mmengine - INFO - Epoch(train) [123][1480/1879] lr: 1.0000e-03 eta: 1 day, 6:02:03 time: 0.4600 data_time: 0.0217 memory: 17087 grad_norm: 6.3009 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0323 loss: 1.0323 2022/08/04 13:28:26 - mmengine - INFO - Epoch(train) [123][1500/1879] lr: 1.0000e-03 eta: 1 day, 6:01:54 time: 0.4255 data_time: 0.0138 memory: 17087 grad_norm: 5.9852 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0610 loss: 1.0610 2022/08/04 13:28:35 - mmengine - INFO - Epoch(train) [123][1520/1879] lr: 1.0000e-03 eta: 1 day, 6:01:45 time: 0.4335 data_time: 0.0169 memory: 17087 grad_norm: 6.1364 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1814 loss: 1.1814 2022/08/04 13:28:43 - mmengine - INFO - Epoch(train) [123][1540/1879] lr: 1.0000e-03 eta: 1 day, 6:01:37 time: 0.4346 data_time: 0.0152 memory: 17087 grad_norm: 6.2669 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0088 loss: 1.0088 2022/08/04 13:28:52 - mmengine - INFO - Epoch(train) [123][1560/1879] lr: 1.0000e-03 eta: 1 day, 6:01:28 time: 0.4433 data_time: 0.0192 memory: 17087 grad_norm: 5.8208 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9462 loss: 0.9462 2022/08/04 13:29:01 - mmengine - INFO - Epoch(train) [123][1580/1879] lr: 1.0000e-03 eta: 1 day, 6:01:20 time: 0.4301 data_time: 0.0161 memory: 17087 grad_norm: 6.0197 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7948 loss: 0.7948 2022/08/04 13:29:10 - mmengine - INFO - Epoch(train) [123][1600/1879] lr: 1.0000e-03 eta: 1 day, 6:01:11 time: 0.4310 data_time: 0.0195 memory: 17087 grad_norm: 6.0712 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0271 loss: 1.0271 2022/08/04 13:29:18 - mmengine - INFO - Epoch(train) [123][1620/1879] lr: 1.0000e-03 eta: 1 day, 6:01:02 time: 0.4281 data_time: 0.0158 memory: 17087 grad_norm: 6.2241 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1462 loss: 1.1462 2022/08/04 13:29:27 - mmengine - INFO - Epoch(train) [123][1640/1879] lr: 1.0000e-03 eta: 1 day, 6:00:54 time: 0.4316 data_time: 0.0154 memory: 17087 grad_norm: 5.9209 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0734 loss: 1.0734 2022/08/04 13:29:36 - mmengine - INFO - Epoch(train) [123][1660/1879] lr: 1.0000e-03 eta: 1 day, 6:00:45 time: 0.4453 data_time: 0.0154 memory: 17087 grad_norm: 6.0663 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0143 loss: 1.0143 2022/08/04 13:29:44 - mmengine - INFO - Epoch(train) [123][1680/1879] lr: 1.0000e-03 eta: 1 day, 6:00:36 time: 0.4278 data_time: 0.0154 memory: 17087 grad_norm: 5.7482 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9691 loss: 0.9691 2022/08/04 13:29:53 - mmengine - INFO - Epoch(train) [123][1700/1879] lr: 1.0000e-03 eta: 1 day, 6:00:28 time: 0.4563 data_time: 0.0205 memory: 17087 grad_norm: 6.1747 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0187 loss: 1.0187 2022/08/04 13:30:02 - mmengine - INFO - Epoch(train) [123][1720/1879] lr: 1.0000e-03 eta: 1 day, 6:00:20 time: 0.4315 data_time: 0.0201 memory: 17087 grad_norm: 5.9579 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7691 loss: 0.7691 2022/08/04 13:30:11 - mmengine - INFO - Epoch(train) [123][1740/1879] lr: 1.0000e-03 eta: 1 day, 6:00:11 time: 0.4338 data_time: 0.0167 memory: 17087 grad_norm: 6.1492 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0635 loss: 1.0635 2022/08/04 13:30:19 - mmengine - INFO - Epoch(train) [123][1760/1879] lr: 1.0000e-03 eta: 1 day, 6:00:02 time: 0.4289 data_time: 0.0186 memory: 17087 grad_norm: 5.8324 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9920 loss: 0.9920 2022/08/04 13:30:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 13:30:28 - mmengine - INFO - Epoch(train) [123][1780/1879] lr: 1.0000e-03 eta: 1 day, 5:59:54 time: 0.4329 data_time: 0.0166 memory: 17087 grad_norm: 5.8360 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0637 loss: 1.0637 2022/08/04 13:30:37 - mmengine - INFO - Epoch(train) [123][1800/1879] lr: 1.0000e-03 eta: 1 day, 5:59:45 time: 0.4284 data_time: 0.0154 memory: 17087 grad_norm: 6.1663 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0026 loss: 1.0026 2022/08/04 13:30:45 - mmengine - INFO - Epoch(train) [123][1820/1879] lr: 1.0000e-03 eta: 1 day, 5:59:36 time: 0.4267 data_time: 0.0146 memory: 17087 grad_norm: 6.1069 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9561 loss: 0.9561 2022/08/04 13:30:54 - mmengine - INFO - Epoch(train) [123][1840/1879] lr: 1.0000e-03 eta: 1 day, 5:59:28 time: 0.4310 data_time: 0.0172 memory: 17087 grad_norm: 6.0245 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9708 loss: 0.9708 2022/08/04 13:31:03 - mmengine - INFO - Epoch(train) [123][1860/1879] lr: 1.0000e-03 eta: 1 day, 5:59:19 time: 0.4336 data_time: 0.0195 memory: 17087 grad_norm: 6.1817 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8337 loss: 0.8337 2022/08/04 13:31:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 13:31:10 - mmengine - INFO - Epoch(train) [123][1879/1879] lr: 1.0000e-03 eta: 1 day, 5:59:19 time: 0.4128 data_time: 0.0142 memory: 17087 grad_norm: 6.0333 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9180 loss: 0.9180 2022/08/04 13:31:22 - mmengine - INFO - Epoch(train) [124][20/1879] lr: 1.0000e-03 eta: 1 day, 5:58:56 time: 0.5585 data_time: 0.1269 memory: 17087 grad_norm: 6.1254 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0947 loss: 1.0947 2022/08/04 13:31:30 - mmengine - INFO - Epoch(train) [124][40/1879] lr: 1.0000e-03 eta: 1 day, 5:58:47 time: 0.4330 data_time: 0.0171 memory: 17087 grad_norm: 6.0794 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9726 loss: 0.9726 2022/08/04 13:31:39 - mmengine - INFO - Epoch(train) [124][60/1879] lr: 1.0000e-03 eta: 1 day, 5:58:39 time: 0.4331 data_time: 0.0212 memory: 17087 grad_norm: 5.9312 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9532 loss: 0.9532 2022/08/04 13:31:48 - mmengine - INFO - Epoch(train) [124][80/1879] lr: 1.0000e-03 eta: 1 day, 5:58:30 time: 0.4287 data_time: 0.0171 memory: 17087 grad_norm: 6.0308 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9700 loss: 0.9700 2022/08/04 13:31:56 - mmengine - INFO - Epoch(train) [124][100/1879] lr: 1.0000e-03 eta: 1 day, 5:58:21 time: 0.4260 data_time: 0.0147 memory: 17087 grad_norm: 6.1622 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1145 loss: 1.1145 2022/08/04 13:32:05 - mmengine - INFO - Epoch(train) [124][120/1879] lr: 1.0000e-03 eta: 1 day, 5:58:13 time: 0.4388 data_time: 0.0172 memory: 17087 grad_norm: 5.9387 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9209 loss: 0.9209 2022/08/04 13:32:14 - mmengine - INFO - Epoch(train) [124][140/1879] lr: 1.0000e-03 eta: 1 day, 5:58:04 time: 0.4318 data_time: 0.0171 memory: 17087 grad_norm: 6.1112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9777 loss: 0.9777 2022/08/04 13:32:22 - mmengine - INFO - Epoch(train) [124][160/1879] lr: 1.0000e-03 eta: 1 day, 5:57:55 time: 0.4294 data_time: 0.0175 memory: 17087 grad_norm: 6.1255 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0695 loss: 1.0695 2022/08/04 13:32:31 - mmengine - INFO - Epoch(train) [124][180/1879] lr: 1.0000e-03 eta: 1 day, 5:57:47 time: 0.4314 data_time: 0.0150 memory: 17087 grad_norm: 6.4377 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0466 loss: 1.0466 2022/08/04 13:32:39 - mmengine - INFO - Epoch(train) [124][200/1879] lr: 1.0000e-03 eta: 1 day, 5:57:38 time: 0.4291 data_time: 0.0180 memory: 17087 grad_norm: 6.0883 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8794 loss: 0.8794 2022/08/04 13:32:48 - mmengine - INFO - Epoch(train) [124][220/1879] lr: 1.0000e-03 eta: 1 day, 5:57:30 time: 0.4331 data_time: 0.0145 memory: 17087 grad_norm: 5.8949 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9829 loss: 0.9829 2022/08/04 13:32:57 - mmengine - INFO - Epoch(train) [124][240/1879] lr: 1.0000e-03 eta: 1 day, 5:57:21 time: 0.4284 data_time: 0.0154 memory: 17087 grad_norm: 6.0860 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9884 loss: 0.9884 2022/08/04 13:33:05 - mmengine - INFO - Epoch(train) [124][260/1879] lr: 1.0000e-03 eta: 1 day, 5:57:12 time: 0.4340 data_time: 0.0157 memory: 17087 grad_norm: 6.2195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9983 loss: 0.9983 2022/08/04 13:33:14 - mmengine - INFO - Epoch(train) [124][280/1879] lr: 1.0000e-03 eta: 1 day, 5:57:04 time: 0.4452 data_time: 0.0161 memory: 17087 grad_norm: 6.1140 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9852 loss: 0.9852 2022/08/04 13:33:23 - mmengine - INFO - Epoch(train) [124][300/1879] lr: 1.0000e-03 eta: 1 day, 5:56:55 time: 0.4387 data_time: 0.0183 memory: 17087 grad_norm: 6.1384 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8332 loss: 0.8332 2022/08/04 13:33:32 - mmengine - INFO - Epoch(train) [124][320/1879] lr: 1.0000e-03 eta: 1 day, 5:56:47 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 6.1146 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8836 loss: 0.8836 2022/08/04 13:33:40 - mmengine - INFO - Epoch(train) [124][340/1879] lr: 1.0000e-03 eta: 1 day, 5:56:38 time: 0.4274 data_time: 0.0146 memory: 17087 grad_norm: 5.9733 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9301 loss: 0.9301 2022/08/04 13:33:49 - mmengine - INFO - Epoch(train) [124][360/1879] lr: 1.0000e-03 eta: 1 day, 5:56:29 time: 0.4297 data_time: 0.0162 memory: 17087 grad_norm: 5.8466 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0007 loss: 1.0007 2022/08/04 13:33:58 - mmengine - INFO - Epoch(train) [124][380/1879] lr: 1.0000e-03 eta: 1 day, 5:56:21 time: 0.4505 data_time: 0.0142 memory: 17087 grad_norm: 6.0766 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9399 loss: 0.9399 2022/08/04 13:34:06 - mmengine - INFO - Epoch(train) [124][400/1879] lr: 1.0000e-03 eta: 1 day, 5:56:12 time: 0.4262 data_time: 0.0162 memory: 17087 grad_norm: 6.2305 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9960 loss: 0.9960 2022/08/04 13:34:15 - mmengine - INFO - Epoch(train) [124][420/1879] lr: 1.0000e-03 eta: 1 day, 5:56:03 time: 0.4264 data_time: 0.0135 memory: 17087 grad_norm: 6.1826 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9318 loss: 0.9318 2022/08/04 13:34:24 - mmengine - INFO - Epoch(train) [124][440/1879] lr: 1.0000e-03 eta: 1 day, 5:55:55 time: 0.4380 data_time: 0.0178 memory: 17087 grad_norm: 6.1373 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9369 loss: 0.9369 2022/08/04 13:34:32 - mmengine - INFO - Epoch(train) [124][460/1879] lr: 1.0000e-03 eta: 1 day, 5:55:46 time: 0.4298 data_time: 0.0162 memory: 17087 grad_norm: 6.2619 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9538 loss: 0.9538 2022/08/04 13:34:41 - mmengine - INFO - Epoch(train) [124][480/1879] lr: 1.0000e-03 eta: 1 day, 5:55:38 time: 0.4484 data_time: 0.0175 memory: 17087 grad_norm: 6.1405 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0123 loss: 1.0123 2022/08/04 13:34:50 - mmengine - INFO - Epoch(train) [124][500/1879] lr: 1.0000e-03 eta: 1 day, 5:55:30 time: 0.4445 data_time: 0.0154 memory: 17087 grad_norm: 5.9502 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9686 loss: 0.9686 2022/08/04 13:34:59 - mmengine - INFO - Epoch(train) [124][520/1879] lr: 1.0000e-03 eta: 1 day, 5:55:21 time: 0.4383 data_time: 0.0159 memory: 17087 grad_norm: 6.0040 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9993 loss: 0.9993 2022/08/04 13:35:08 - mmengine - INFO - Epoch(train) [124][540/1879] lr: 1.0000e-03 eta: 1 day, 5:55:13 time: 0.4432 data_time: 0.0133 memory: 17087 grad_norm: 6.0057 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0888 loss: 1.0888 2022/08/04 13:35:16 - mmengine - INFO - Epoch(train) [124][560/1879] lr: 1.0000e-03 eta: 1 day, 5:55:04 time: 0.4312 data_time: 0.0160 memory: 17087 grad_norm: 6.3210 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9429 loss: 0.9429 2022/08/04 13:35:25 - mmengine - INFO - Epoch(train) [124][580/1879] lr: 1.0000e-03 eta: 1 day, 5:54:55 time: 0.4277 data_time: 0.0154 memory: 17087 grad_norm: 6.0333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0599 loss: 1.0599 2022/08/04 13:35:34 - mmengine - INFO - Epoch(train) [124][600/1879] lr: 1.0000e-03 eta: 1 day, 5:54:47 time: 0.4515 data_time: 0.0188 memory: 17087 grad_norm: 6.2045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9956 loss: 0.9956 2022/08/04 13:35:43 - mmengine - INFO - Epoch(train) [124][620/1879] lr: 1.0000e-03 eta: 1 day, 5:54:38 time: 0.4251 data_time: 0.0149 memory: 17087 grad_norm: 6.1464 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8299 loss: 0.8299 2022/08/04 13:35:52 - mmengine - INFO - Epoch(train) [124][640/1879] lr: 1.0000e-03 eta: 1 day, 5:54:30 time: 0.4670 data_time: 0.0180 memory: 17087 grad_norm: 6.0350 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9281 loss: 0.9281 2022/08/04 13:36:00 - mmengine - INFO - Epoch(train) [124][660/1879] lr: 1.0000e-03 eta: 1 day, 5:54:22 time: 0.4260 data_time: 0.0142 memory: 17087 grad_norm: 6.1317 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8773 loss: 0.8773 2022/08/04 13:36:09 - mmengine - INFO - Epoch(train) [124][680/1879] lr: 1.0000e-03 eta: 1 day, 5:54:13 time: 0.4340 data_time: 0.0192 memory: 17087 grad_norm: 5.9784 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8550 loss: 0.8550 2022/08/04 13:36:18 - mmengine - INFO - Epoch(train) [124][700/1879] lr: 1.0000e-03 eta: 1 day, 5:54:05 time: 0.4524 data_time: 0.0143 memory: 17087 grad_norm: 5.8416 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9007 loss: 0.9007 2022/08/04 13:36:27 - mmengine - INFO - Epoch(train) [124][720/1879] lr: 1.0000e-03 eta: 1 day, 5:53:56 time: 0.4280 data_time: 0.0158 memory: 17087 grad_norm: 6.1159 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1136 loss: 1.1136 2022/08/04 13:36:35 - mmengine - INFO - Epoch(train) [124][740/1879] lr: 1.0000e-03 eta: 1 day, 5:53:47 time: 0.4291 data_time: 0.0151 memory: 17087 grad_norm: 6.0635 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0661 loss: 1.0661 2022/08/04 13:36:44 - mmengine - INFO - Epoch(train) [124][760/1879] lr: 1.0000e-03 eta: 1 day, 5:53:39 time: 0.4353 data_time: 0.0176 memory: 17087 grad_norm: 6.1282 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1574 loss: 1.1574 2022/08/04 13:36:53 - mmengine - INFO - Epoch(train) [124][780/1879] lr: 1.0000e-03 eta: 1 day, 5:53:30 time: 0.4273 data_time: 0.0139 memory: 17087 grad_norm: 6.1745 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0001 loss: 1.0001 2022/08/04 13:37:02 - mmengine - INFO - Epoch(train) [124][800/1879] lr: 1.0000e-03 eta: 1 day, 5:53:22 time: 0.4523 data_time: 0.0185 memory: 17087 grad_norm: 5.9385 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8962 loss: 0.8962 2022/08/04 13:37:10 - mmengine - INFO - Epoch(train) [124][820/1879] lr: 1.0000e-03 eta: 1 day, 5:53:13 time: 0.4282 data_time: 0.0150 memory: 17087 grad_norm: 6.2664 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1335 loss: 1.1335 2022/08/04 13:37:19 - mmengine - INFO - Epoch(train) [124][840/1879] lr: 1.0000e-03 eta: 1 day, 5:53:05 time: 0.4365 data_time: 0.0172 memory: 17087 grad_norm: 6.2631 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9685 loss: 0.9685 2022/08/04 13:37:28 - mmengine - INFO - Epoch(train) [124][860/1879] lr: 1.0000e-03 eta: 1 day, 5:52:56 time: 0.4293 data_time: 0.0145 memory: 17087 grad_norm: 6.0632 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0638 loss: 1.0638 2022/08/04 13:37:36 - mmengine - INFO - Epoch(train) [124][880/1879] lr: 1.0000e-03 eta: 1 day, 5:52:47 time: 0.4291 data_time: 0.0169 memory: 17087 grad_norm: 6.3306 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.2287 loss: 1.2287 2022/08/04 13:37:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 13:37:45 - mmengine - INFO - Epoch(train) [124][900/1879] lr: 1.0000e-03 eta: 1 day, 5:52:39 time: 0.4307 data_time: 0.0162 memory: 17087 grad_norm: 6.3039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8222 loss: 0.8222 2022/08/04 13:37:54 - mmengine - INFO - Epoch(train) [124][920/1879] lr: 1.0000e-03 eta: 1 day, 5:52:30 time: 0.4389 data_time: 0.0169 memory: 17087 grad_norm: 6.2893 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9573 loss: 0.9573 2022/08/04 13:38:03 - mmengine - INFO - Epoch(train) [124][940/1879] lr: 1.0000e-03 eta: 1 day, 5:52:22 time: 0.4478 data_time: 0.0162 memory: 17087 grad_norm: 6.0042 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8701 loss: 0.8701 2022/08/04 13:38:11 - mmengine - INFO - Epoch(train) [124][960/1879] lr: 1.0000e-03 eta: 1 day, 5:52:13 time: 0.4354 data_time: 0.0176 memory: 17087 grad_norm: 6.0339 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1143 loss: 1.1143 2022/08/04 13:38:20 - mmengine - INFO - Epoch(train) [124][980/1879] lr: 1.0000e-03 eta: 1 day, 5:52:05 time: 0.4248 data_time: 0.0138 memory: 17087 grad_norm: 6.1199 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0252 loss: 1.0252 2022/08/04 13:38:29 - mmengine - INFO - Epoch(train) [124][1000/1879] lr: 1.0000e-03 eta: 1 day, 5:51:56 time: 0.4391 data_time: 0.0186 memory: 17087 grad_norm: 6.4573 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0598 loss: 1.0598 2022/08/04 13:38:37 - mmengine - INFO - Epoch(train) [124][1020/1879] lr: 1.0000e-03 eta: 1 day, 5:51:47 time: 0.4293 data_time: 0.0152 memory: 17087 grad_norm: 6.0528 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9679 loss: 0.9679 2022/08/04 13:38:46 - mmengine - INFO - Epoch(train) [124][1040/1879] lr: 1.0000e-03 eta: 1 day, 5:51:39 time: 0.4293 data_time: 0.0166 memory: 17087 grad_norm: 6.1342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0296 loss: 1.0296 2022/08/04 13:38:55 - mmengine - INFO - Epoch(train) [124][1060/1879] lr: 1.0000e-03 eta: 1 day, 5:51:30 time: 0.4309 data_time: 0.0162 memory: 17087 grad_norm: 6.3661 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0407 loss: 1.0407 2022/08/04 13:39:03 - mmengine - INFO - Epoch(train) [124][1080/1879] lr: 1.0000e-03 eta: 1 day, 5:51:21 time: 0.4305 data_time: 0.0154 memory: 17087 grad_norm: 6.3609 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0935 loss: 1.0935 2022/08/04 13:39:12 - mmengine - INFO - Epoch(train) [124][1100/1879] lr: 1.0000e-03 eta: 1 day, 5:51:13 time: 0.4375 data_time: 0.0133 memory: 17087 grad_norm: 6.0562 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9466 loss: 0.9466 2022/08/04 13:39:21 - mmengine - INFO - Epoch(train) [124][1120/1879] lr: 1.0000e-03 eta: 1 day, 5:51:04 time: 0.4359 data_time: 0.0184 memory: 17087 grad_norm: 6.0870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0576 loss: 1.0576 2022/08/04 13:39:29 - mmengine - INFO - Epoch(train) [124][1140/1879] lr: 1.0000e-03 eta: 1 day, 5:50:55 time: 0.4254 data_time: 0.0147 memory: 17087 grad_norm: 6.1609 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0706 loss: 1.0706 2022/08/04 13:39:38 - mmengine - INFO - Epoch(train) [124][1160/1879] lr: 1.0000e-03 eta: 1 day, 5:50:47 time: 0.4313 data_time: 0.0154 memory: 17087 grad_norm: 6.1885 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1402 loss: 1.1402 2022/08/04 13:39:46 - mmengine - INFO - Epoch(train) [124][1180/1879] lr: 1.0000e-03 eta: 1 day, 5:50:38 time: 0.4344 data_time: 0.0139 memory: 17087 grad_norm: 5.9756 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0553 loss: 1.0553 2022/08/04 13:39:55 - mmengine - INFO - Epoch(train) [124][1200/1879] lr: 1.0000e-03 eta: 1 day, 5:50:30 time: 0.4286 data_time: 0.0156 memory: 17087 grad_norm: 6.1151 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1344 loss: 1.1344 2022/08/04 13:40:04 - mmengine - INFO - Epoch(train) [124][1220/1879] lr: 1.0000e-03 eta: 1 day, 5:50:21 time: 0.4570 data_time: 0.0154 memory: 17087 grad_norm: 6.1184 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0003 loss: 1.0003 2022/08/04 13:40:13 - mmengine - INFO - Epoch(train) [124][1240/1879] lr: 1.0000e-03 eta: 1 day, 5:50:13 time: 0.4284 data_time: 0.0166 memory: 17087 grad_norm: 6.1177 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8489 loss: 0.8489 2022/08/04 13:40:22 - mmengine - INFO - Epoch(train) [124][1260/1879] lr: 1.0000e-03 eta: 1 day, 5:50:05 time: 0.4681 data_time: 0.0161 memory: 17087 grad_norm: 6.2669 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9055 loss: 0.9055 2022/08/04 13:40:31 - mmengine - INFO - Epoch(train) [124][1280/1879] lr: 1.0000e-03 eta: 1 day, 5:49:56 time: 0.4302 data_time: 0.0178 memory: 17087 grad_norm: 6.3212 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0059 loss: 1.0059 2022/08/04 13:40:39 - mmengine - INFO - Epoch(train) [124][1300/1879] lr: 1.0000e-03 eta: 1 day, 5:49:47 time: 0.4275 data_time: 0.0135 memory: 17087 grad_norm: 5.9353 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1266 loss: 1.1266 2022/08/04 13:40:49 - mmengine - INFO - Epoch(train) [124][1320/1879] lr: 1.0000e-03 eta: 1 day, 5:49:39 time: 0.4638 data_time: 0.0186 memory: 17087 grad_norm: 6.2236 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1137 loss: 1.1137 2022/08/04 13:40:57 - mmengine - INFO - Epoch(train) [124][1340/1879] lr: 1.0000e-03 eta: 1 day, 5:49:31 time: 0.4317 data_time: 0.0156 memory: 17087 grad_norm: 5.9630 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0958 loss: 1.0958 2022/08/04 13:41:06 - mmengine - INFO - Epoch(train) [124][1360/1879] lr: 1.0000e-03 eta: 1 day, 5:49:22 time: 0.4283 data_time: 0.0184 memory: 17087 grad_norm: 6.0544 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9314 loss: 0.9314 2022/08/04 13:41:15 - mmengine - INFO - Epoch(train) [124][1380/1879] lr: 1.0000e-03 eta: 1 day, 5:49:14 time: 0.4356 data_time: 0.0203 memory: 17087 grad_norm: 5.9305 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9360 loss: 0.9360 2022/08/04 13:41:23 - mmengine - INFO - Epoch(train) [124][1400/1879] lr: 1.0000e-03 eta: 1 day, 5:49:05 time: 0.4276 data_time: 0.0160 memory: 17087 grad_norm: 6.2553 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9234 loss: 0.9234 2022/08/04 13:41:32 - mmengine - INFO - Epoch(train) [124][1420/1879] lr: 1.0000e-03 eta: 1 day, 5:48:57 time: 0.4610 data_time: 0.0154 memory: 17087 grad_norm: 6.1588 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1395 loss: 1.1395 2022/08/04 13:41:41 - mmengine - INFO - Epoch(train) [124][1440/1879] lr: 1.0000e-03 eta: 1 day, 5:48:48 time: 0.4370 data_time: 0.0236 memory: 17087 grad_norm: 6.0127 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9483 loss: 0.9483 2022/08/04 13:41:50 - mmengine - INFO - Epoch(train) [124][1460/1879] lr: 1.0000e-03 eta: 1 day, 5:48:40 time: 0.4283 data_time: 0.0147 memory: 17087 grad_norm: 6.3604 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0059 loss: 1.0059 2022/08/04 13:41:59 - mmengine - INFO - Epoch(train) [124][1480/1879] lr: 1.0000e-03 eta: 1 day, 5:48:31 time: 0.4543 data_time: 0.0171 memory: 17087 grad_norm: 6.1126 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9602 loss: 0.9602 2022/08/04 13:42:07 - mmengine - INFO - Epoch(train) [124][1500/1879] lr: 1.0000e-03 eta: 1 day, 5:48:23 time: 0.4268 data_time: 0.0137 memory: 17087 grad_norm: 5.8876 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9298 loss: 0.9298 2022/08/04 13:42:16 - mmengine - INFO - Epoch(train) [124][1520/1879] lr: 1.0000e-03 eta: 1 day, 5:48:14 time: 0.4304 data_time: 0.0156 memory: 17087 grad_norm: 6.1196 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9885 loss: 0.9885 2022/08/04 13:42:25 - mmengine - INFO - Epoch(train) [124][1540/1879] lr: 1.0000e-03 eta: 1 day, 5:48:05 time: 0.4346 data_time: 0.0158 memory: 17087 grad_norm: 6.1929 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8558 loss: 0.8558 2022/08/04 13:42:33 - mmengine - INFO - Epoch(train) [124][1560/1879] lr: 1.0000e-03 eta: 1 day, 5:47:57 time: 0.4290 data_time: 0.0161 memory: 17087 grad_norm: 6.3325 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1829 loss: 1.1829 2022/08/04 13:42:42 - mmengine - INFO - Epoch(train) [124][1580/1879] lr: 1.0000e-03 eta: 1 day, 5:47:48 time: 0.4481 data_time: 0.0149 memory: 17087 grad_norm: 6.0040 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9713 loss: 0.9713 2022/08/04 13:42:51 - mmengine - INFO - Epoch(train) [124][1600/1879] lr: 1.0000e-03 eta: 1 day, 5:47:40 time: 0.4297 data_time: 0.0162 memory: 17087 grad_norm: 5.9403 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9223 loss: 0.9223 2022/08/04 13:43:00 - mmengine - INFO - Epoch(train) [124][1620/1879] lr: 1.0000e-03 eta: 1 day, 5:47:31 time: 0.4353 data_time: 0.0142 memory: 17087 grad_norm: 5.9779 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0863 loss: 1.0863 2022/08/04 13:43:08 - mmengine - INFO - Epoch(train) [124][1640/1879] lr: 1.0000e-03 eta: 1 day, 5:47:22 time: 0.4282 data_time: 0.0155 memory: 17087 grad_norm: 6.0234 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8515 loss: 0.8515 2022/08/04 13:43:17 - mmengine - INFO - Epoch(train) [124][1660/1879] lr: 1.0000e-03 eta: 1 day, 5:47:14 time: 0.4274 data_time: 0.0149 memory: 17087 grad_norm: 6.0090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0918 loss: 1.0918 2022/08/04 13:43:25 - mmengine - INFO - Epoch(train) [124][1680/1879] lr: 1.0000e-03 eta: 1 day, 5:47:05 time: 0.4351 data_time: 0.0165 memory: 17087 grad_norm: 6.0074 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0008 loss: 1.0008 2022/08/04 13:43:34 - mmengine - INFO - Epoch(train) [124][1700/1879] lr: 1.0000e-03 eta: 1 day, 5:46:56 time: 0.4276 data_time: 0.0142 memory: 17087 grad_norm: 6.0639 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9610 loss: 0.9610 2022/08/04 13:43:43 - mmengine - INFO - Epoch(train) [124][1720/1879] lr: 1.0000e-03 eta: 1 day, 5:46:48 time: 0.4438 data_time: 0.0207 memory: 17087 grad_norm: 5.8632 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8634 loss: 0.8634 2022/08/04 13:43:52 - mmengine - INFO - Epoch(train) [124][1740/1879] lr: 1.0000e-03 eta: 1 day, 5:46:39 time: 0.4356 data_time: 0.0157 memory: 17087 grad_norm: 6.0120 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8966 loss: 0.8966 2022/08/04 13:44:00 - mmengine - INFO - Epoch(train) [124][1760/1879] lr: 1.0000e-03 eta: 1 day, 5:46:31 time: 0.4310 data_time: 0.0161 memory: 17087 grad_norm: 6.2526 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0259 loss: 1.0259 2022/08/04 13:44:09 - mmengine - INFO - Epoch(train) [124][1780/1879] lr: 1.0000e-03 eta: 1 day, 5:46:22 time: 0.4323 data_time: 0.0172 memory: 17087 grad_norm: 6.0785 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9240 loss: 0.9240 2022/08/04 13:44:18 - mmengine - INFO - Epoch(train) [124][1800/1879] lr: 1.0000e-03 eta: 1 day, 5:46:13 time: 0.4290 data_time: 0.0151 memory: 17087 grad_norm: 5.7964 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0633 loss: 1.0633 2022/08/04 13:44:26 - mmengine - INFO - Epoch(train) [124][1820/1879] lr: 1.0000e-03 eta: 1 day, 5:46:05 time: 0.4328 data_time: 0.0139 memory: 17087 grad_norm: 5.9575 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0468 loss: 1.0468 2022/08/04 13:44:35 - mmengine - INFO - Epoch(train) [124][1840/1879] lr: 1.0000e-03 eta: 1 day, 5:45:56 time: 0.4337 data_time: 0.0175 memory: 17087 grad_norm: 6.1005 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0456 loss: 1.0456 2022/08/04 13:44:44 - mmengine - INFO - Epoch(train) [124][1860/1879] lr: 1.0000e-03 eta: 1 day, 5:45:48 time: 0.4324 data_time: 0.0156 memory: 17087 grad_norm: 6.2657 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0905 loss: 1.0905 2022/08/04 13:44:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 13:44:52 - mmengine - INFO - Epoch(train) [124][1879/1879] lr: 1.0000e-03 eta: 1 day, 5:45:48 time: 0.4364 data_time: 0.0159 memory: 17087 grad_norm: 6.3205 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1493 loss: 1.1493 2022/08/04 13:44:52 - mmengine - INFO - Saving checkpoint at 124 epochs 2022/08/04 13:44:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 13:45:06 - mmengine - INFO - Epoch(train) [125][20/1879] lr: 1.0000e-03 eta: 1 day, 5:45:24 time: 0.5179 data_time: 0.1058 memory: 17087 grad_norm: 6.0965 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 0.9930 loss: 0.9930 2022/08/04 13:45:15 - mmengine - INFO - Epoch(train) [125][40/1879] lr: 1.0000e-03 eta: 1 day, 5:45:16 time: 0.4555 data_time: 0.0180 memory: 17087 grad_norm: 6.0318 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.8629 loss: 0.8629 2022/08/04 13:45:24 - mmengine - INFO - Epoch(train) [125][60/1879] lr: 1.0000e-03 eta: 1 day, 5:45:07 time: 0.4283 data_time: 0.0160 memory: 17087 grad_norm: 6.2489 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1676 loss: 1.1676 2022/08/04 13:45:33 - mmengine - INFO - Epoch(train) [125][80/1879] lr: 1.0000e-03 eta: 1 day, 5:44:59 time: 0.4556 data_time: 0.0173 memory: 17087 grad_norm: 6.1443 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9691 loss: 0.9691 2022/08/04 13:45:42 - mmengine - INFO - Epoch(train) [125][100/1879] lr: 1.0000e-03 eta: 1 day, 5:44:50 time: 0.4279 data_time: 0.0157 memory: 17087 grad_norm: 5.9739 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0098 loss: 1.0098 2022/08/04 13:45:50 - mmengine - INFO - Epoch(train) [125][120/1879] lr: 1.0000e-03 eta: 1 day, 5:44:42 time: 0.4412 data_time: 0.0214 memory: 17087 grad_norm: 6.1085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9480 loss: 0.9480 2022/08/04 13:45:59 - mmengine - INFO - Epoch(train) [125][140/1879] lr: 1.0000e-03 eta: 1 day, 5:44:33 time: 0.4303 data_time: 0.0151 memory: 17087 grad_norm: 5.9895 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0722 loss: 1.0722 2022/08/04 13:46:08 - mmengine - INFO - Epoch(train) [125][160/1879] lr: 1.0000e-03 eta: 1 day, 5:44:24 time: 0.4278 data_time: 0.0179 memory: 17087 grad_norm: 6.1154 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9773 loss: 0.9773 2022/08/04 13:46:17 - mmengine - INFO - Epoch(train) [125][180/1879] lr: 1.0000e-03 eta: 1 day, 5:44:16 time: 0.4515 data_time: 0.0158 memory: 17087 grad_norm: 6.1815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0760 loss: 1.0760 2022/08/04 13:46:25 - mmengine - INFO - Epoch(train) [125][200/1879] lr: 1.0000e-03 eta: 1 day, 5:44:07 time: 0.4276 data_time: 0.0161 memory: 17087 grad_norm: 6.1590 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1297 loss: 1.1297 2022/08/04 13:46:34 - mmengine - INFO - Epoch(train) [125][220/1879] lr: 1.0000e-03 eta: 1 day, 5:43:59 time: 0.4613 data_time: 0.0204 memory: 17087 grad_norm: 6.0049 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0589 loss: 1.0589 2022/08/04 13:46:43 - mmengine - INFO - Epoch(train) [125][240/1879] lr: 1.0000e-03 eta: 1 day, 5:43:51 time: 0.4352 data_time: 0.0182 memory: 17087 grad_norm: 6.1591 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9528 loss: 0.9528 2022/08/04 13:46:52 - mmengine - INFO - Epoch(train) [125][260/1879] lr: 1.0000e-03 eta: 1 day, 5:43:43 time: 0.4624 data_time: 0.0168 memory: 17087 grad_norm: 6.1609 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0348 loss: 1.0348 2022/08/04 13:47:01 - mmengine - INFO - Epoch(train) [125][280/1879] lr: 1.0000e-03 eta: 1 day, 5:43:34 time: 0.4261 data_time: 0.0166 memory: 17087 grad_norm: 5.9627 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9541 loss: 0.9541 2022/08/04 13:47:10 - mmengine - INFO - Epoch(train) [125][300/1879] lr: 1.0000e-03 eta: 1 day, 5:43:26 time: 0.4573 data_time: 0.0168 memory: 17087 grad_norm: 6.0612 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8431 loss: 0.8431 2022/08/04 13:47:19 - mmengine - INFO - Epoch(train) [125][320/1879] lr: 1.0000e-03 eta: 1 day, 5:43:17 time: 0.4304 data_time: 0.0158 memory: 17087 grad_norm: 6.1672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9504 loss: 0.9504 2022/08/04 13:47:27 - mmengine - INFO - Epoch(train) [125][340/1879] lr: 1.0000e-03 eta: 1 day, 5:43:09 time: 0.4314 data_time: 0.0172 memory: 17087 grad_norm: 6.0199 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1150 loss: 1.1150 2022/08/04 13:47:36 - mmengine - INFO - Epoch(train) [125][360/1879] lr: 1.0000e-03 eta: 1 day, 5:43:00 time: 0.4359 data_time: 0.0169 memory: 17087 grad_norm: 6.0484 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8953 loss: 0.8953 2022/08/04 13:47:45 - mmengine - INFO - Epoch(train) [125][380/1879] lr: 1.0000e-03 eta: 1 day, 5:42:51 time: 0.4260 data_time: 0.0132 memory: 17087 grad_norm: 6.1863 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1638 loss: 1.1638 2022/08/04 13:47:53 - mmengine - INFO - Epoch(train) [125][400/1879] lr: 1.0000e-03 eta: 1 day, 5:42:43 time: 0.4305 data_time: 0.0176 memory: 17087 grad_norm: 6.1522 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0407 loss: 1.0407 2022/08/04 13:48:02 - mmengine - INFO - Epoch(train) [125][420/1879] lr: 1.0000e-03 eta: 1 day, 5:42:34 time: 0.4268 data_time: 0.0148 memory: 17087 grad_norm: 5.9128 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7821 loss: 0.7821 2022/08/04 13:48:11 - mmengine - INFO - Epoch(train) [125][440/1879] lr: 1.0000e-03 eta: 1 day, 5:42:25 time: 0.4334 data_time: 0.0184 memory: 17087 grad_norm: 6.2240 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0407 loss: 1.0407 2022/08/04 13:48:19 - mmengine - INFO - Epoch(train) [125][460/1879] lr: 1.0000e-03 eta: 1 day, 5:42:17 time: 0.4349 data_time: 0.0151 memory: 17087 grad_norm: 6.3615 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.1051 loss: 1.1051 2022/08/04 13:48:28 - mmengine - INFO - Epoch(train) [125][480/1879] lr: 1.0000e-03 eta: 1 day, 5:42:08 time: 0.4299 data_time: 0.0170 memory: 17087 grad_norm: 6.0069 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0415 loss: 1.0415 2022/08/04 13:48:37 - mmengine - INFO - Epoch(train) [125][500/1879] lr: 1.0000e-03 eta: 1 day, 5:42:00 time: 0.4496 data_time: 0.0141 memory: 17087 grad_norm: 5.8804 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9034 loss: 0.9034 2022/08/04 13:48:45 - mmengine - INFO - Epoch(train) [125][520/1879] lr: 1.0000e-03 eta: 1 day, 5:41:51 time: 0.4278 data_time: 0.0168 memory: 17087 grad_norm: 6.3096 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9465 loss: 0.9465 2022/08/04 13:48:55 - mmengine - INFO - Epoch(train) [125][540/1879] lr: 1.0000e-03 eta: 1 day, 5:41:43 time: 0.4554 data_time: 0.0167 memory: 17087 grad_norm: 6.0954 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9000 loss: 0.9000 2022/08/04 13:49:03 - mmengine - INFO - Epoch(train) [125][560/1879] lr: 1.0000e-03 eta: 1 day, 5:41:34 time: 0.4281 data_time: 0.0163 memory: 17087 grad_norm: 6.0016 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9623 loss: 0.9623 2022/08/04 13:49:12 - mmengine - INFO - Epoch(train) [125][580/1879] lr: 1.0000e-03 eta: 1 day, 5:41:26 time: 0.4374 data_time: 0.0167 memory: 17087 grad_norm: 6.0310 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9807 loss: 0.9807 2022/08/04 13:49:21 - mmengine - INFO - Epoch(train) [125][600/1879] lr: 1.0000e-03 eta: 1 day, 5:41:17 time: 0.4297 data_time: 0.0171 memory: 17087 grad_norm: 6.2644 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8986 loss: 0.8986 2022/08/04 13:49:29 - mmengine - INFO - Epoch(train) [125][620/1879] lr: 1.0000e-03 eta: 1 day, 5:41:08 time: 0.4361 data_time: 0.0135 memory: 17087 grad_norm: 6.2330 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9787 loss: 0.9787 2022/08/04 13:49:38 - mmengine - INFO - Epoch(train) [125][640/1879] lr: 1.0000e-03 eta: 1 day, 5:41:00 time: 0.4285 data_time: 0.0162 memory: 17087 grad_norm: 6.0604 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9888 loss: 0.9888 2022/08/04 13:49:46 - mmengine - INFO - Epoch(train) [125][660/1879] lr: 1.0000e-03 eta: 1 day, 5:40:51 time: 0.4266 data_time: 0.0130 memory: 17087 grad_norm: 6.0934 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0839 loss: 1.0839 2022/08/04 13:49:55 - mmengine - INFO - Epoch(train) [125][680/1879] lr: 1.0000e-03 eta: 1 day, 5:40:42 time: 0.4420 data_time: 0.0179 memory: 17087 grad_norm: 5.8513 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9018 loss: 0.9018 2022/08/04 13:50:04 - mmengine - INFO - Epoch(train) [125][700/1879] lr: 1.0000e-03 eta: 1 day, 5:40:34 time: 0.4285 data_time: 0.0151 memory: 17087 grad_norm: 6.2035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8440 loss: 0.8440 2022/08/04 13:50:13 - mmengine - INFO - Epoch(train) [125][720/1879] lr: 1.0000e-03 eta: 1 day, 5:40:25 time: 0.4450 data_time: 0.0164 memory: 17087 grad_norm: 6.0674 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8978 loss: 0.8978 2022/08/04 13:50:21 - mmengine - INFO - Epoch(train) [125][740/1879] lr: 1.0000e-03 eta: 1 day, 5:40:17 time: 0.4290 data_time: 0.0164 memory: 17087 grad_norm: 6.2480 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9817 loss: 0.9817 2022/08/04 13:50:30 - mmengine - INFO - Epoch(train) [125][760/1879] lr: 1.0000e-03 eta: 1 day, 5:40:08 time: 0.4501 data_time: 0.0169 memory: 17087 grad_norm: 6.1247 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9931 loss: 0.9931 2022/08/04 13:50:39 - mmengine - INFO - Epoch(train) [125][780/1879] lr: 1.0000e-03 eta: 1 day, 5:40:00 time: 0.4341 data_time: 0.0153 memory: 17087 grad_norm: 6.0801 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8906 loss: 0.8906 2022/08/04 13:50:48 - mmengine - INFO - Epoch(train) [125][800/1879] lr: 1.0000e-03 eta: 1 day, 5:39:51 time: 0.4287 data_time: 0.0149 memory: 17087 grad_norm: 6.2001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0259 loss: 1.0259 2022/08/04 13:50:56 - mmengine - INFO - Epoch(train) [125][820/1879] lr: 1.0000e-03 eta: 1 day, 5:39:42 time: 0.4275 data_time: 0.0147 memory: 17087 grad_norm: 6.1419 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9576 loss: 0.9576 2022/08/04 13:51:05 - mmengine - INFO - Epoch(train) [125][840/1879] lr: 1.0000e-03 eta: 1 day, 5:39:34 time: 0.4390 data_time: 0.0192 memory: 17087 grad_norm: 6.2580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0562 loss: 1.0562 2022/08/04 13:51:14 - mmengine - INFO - Epoch(train) [125][860/1879] lr: 1.0000e-03 eta: 1 day, 5:39:25 time: 0.4273 data_time: 0.0155 memory: 17087 grad_norm: 5.9323 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0073 loss: 1.0073 2022/08/04 13:51:23 - mmengine - INFO - Epoch(train) [125][880/1879] lr: 1.0000e-03 eta: 1 day, 5:39:17 time: 0.4608 data_time: 0.0173 memory: 17087 grad_norm: 5.9886 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1043 loss: 1.1043 2022/08/04 13:51:31 - mmengine - INFO - Epoch(train) [125][900/1879] lr: 1.0000e-03 eta: 1 day, 5:39:08 time: 0.4293 data_time: 0.0152 memory: 17087 grad_norm: 5.9849 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9874 loss: 0.9874 2022/08/04 13:51:40 - mmengine - INFO - Epoch(train) [125][920/1879] lr: 1.0000e-03 eta: 1 day, 5:39:00 time: 0.4384 data_time: 0.0199 memory: 17087 grad_norm: 6.1466 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0241 loss: 1.0241 2022/08/04 13:51:49 - mmengine - INFO - Epoch(train) [125][940/1879] lr: 1.0000e-03 eta: 1 day, 5:38:51 time: 0.4271 data_time: 0.0143 memory: 17087 grad_norm: 6.3270 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0067 loss: 1.0067 2022/08/04 13:51:57 - mmengine - INFO - Epoch(train) [125][960/1879] lr: 1.0000e-03 eta: 1 day, 5:38:43 time: 0.4356 data_time: 0.0200 memory: 17087 grad_norm: 6.2995 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8935 loss: 0.8935 2022/08/04 13:52:06 - mmengine - INFO - Epoch(train) [125][980/1879] lr: 1.0000e-03 eta: 1 day, 5:38:34 time: 0.4305 data_time: 0.0153 memory: 17087 grad_norm: 6.1243 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9262 loss: 0.9262 2022/08/04 13:52:15 - mmengine - INFO - Epoch(train) [125][1000/1879] lr: 1.0000e-03 eta: 1 day, 5:38:26 time: 0.4460 data_time: 0.0181 memory: 17087 grad_norm: 6.1114 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0037 loss: 1.0037 2022/08/04 13:52:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 13:52:24 - mmengine - INFO - Epoch(train) [125][1020/1879] lr: 1.0000e-03 eta: 1 day, 5:38:17 time: 0.4285 data_time: 0.0148 memory: 17087 grad_norm: 6.2446 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9135 loss: 0.9135 2022/08/04 13:52:33 - mmengine - INFO - Epoch(train) [125][1040/1879] lr: 1.0000e-03 eta: 1 day, 5:38:09 time: 0.4505 data_time: 0.0160 memory: 17087 grad_norm: 6.3969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1645 loss: 1.1645 2022/08/04 13:52:41 - mmengine - INFO - Epoch(train) [125][1060/1879] lr: 1.0000e-03 eta: 1 day, 5:38:00 time: 0.4298 data_time: 0.0176 memory: 17087 grad_norm: 5.9375 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9145 loss: 0.9145 2022/08/04 13:52:50 - mmengine - INFO - Epoch(train) [125][1080/1879] lr: 1.0000e-03 eta: 1 day, 5:37:51 time: 0.4377 data_time: 0.0192 memory: 17087 grad_norm: 6.0915 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0218 loss: 1.0218 2022/08/04 13:52:59 - mmengine - INFO - Epoch(train) [125][1100/1879] lr: 1.0000e-03 eta: 1 day, 5:37:43 time: 0.4264 data_time: 0.0147 memory: 17087 grad_norm: 6.2172 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9850 loss: 0.9850 2022/08/04 13:53:07 - mmengine - INFO - Epoch(train) [125][1120/1879] lr: 1.0000e-03 eta: 1 day, 5:37:34 time: 0.4284 data_time: 0.0170 memory: 17087 grad_norm: 6.1417 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8606 loss: 0.8606 2022/08/04 13:53:16 - mmengine - INFO - Epoch(train) [125][1140/1879] lr: 1.0000e-03 eta: 1 day, 5:37:26 time: 0.4472 data_time: 0.0161 memory: 17087 grad_norm: 6.1543 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1502 loss: 1.1502 2022/08/04 13:53:25 - mmengine - INFO - Epoch(train) [125][1160/1879] lr: 1.0000e-03 eta: 1 day, 5:37:17 time: 0.4304 data_time: 0.0162 memory: 17087 grad_norm: 6.2529 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9969 loss: 0.9969 2022/08/04 13:53:34 - mmengine - INFO - Epoch(train) [125][1180/1879] lr: 1.0000e-03 eta: 1 day, 5:37:09 time: 0.4544 data_time: 0.0158 memory: 17087 grad_norm: 6.1656 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8926 loss: 0.8926 2022/08/04 13:53:42 - mmengine - INFO - Epoch(train) [125][1200/1879] lr: 1.0000e-03 eta: 1 day, 5:37:00 time: 0.4298 data_time: 0.0155 memory: 17087 grad_norm: 6.0924 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9035 loss: 0.9035 2022/08/04 13:53:51 - mmengine - INFO - Epoch(train) [125][1220/1879] lr: 1.0000e-03 eta: 1 day, 5:36:52 time: 0.4524 data_time: 0.0161 memory: 17087 grad_norm: 6.3227 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9288 loss: 0.9288 2022/08/04 13:54:00 - mmengine - INFO - Epoch(train) [125][1240/1879] lr: 1.0000e-03 eta: 1 day, 5:36:43 time: 0.4259 data_time: 0.0155 memory: 17087 grad_norm: 6.1125 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0325 loss: 1.0325 2022/08/04 13:54:09 - mmengine - INFO - Epoch(train) [125][1260/1879] lr: 1.0000e-03 eta: 1 day, 5:36:34 time: 0.4312 data_time: 0.0140 memory: 17087 grad_norm: 6.1239 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0013 loss: 1.0013 2022/08/04 13:54:17 - mmengine - INFO - Epoch(train) [125][1280/1879] lr: 1.0000e-03 eta: 1 day, 5:36:26 time: 0.4309 data_time: 0.0181 memory: 17087 grad_norm: 6.2342 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0237 loss: 1.0237 2022/08/04 13:54:26 - mmengine - INFO - Epoch(train) [125][1300/1879] lr: 1.0000e-03 eta: 1 day, 5:36:17 time: 0.4373 data_time: 0.0177 memory: 17087 grad_norm: 6.0268 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9533 loss: 0.9533 2022/08/04 13:54:35 - mmengine - INFO - Epoch(train) [125][1320/1879] lr: 1.0000e-03 eta: 1 day, 5:36:09 time: 0.4312 data_time: 0.0201 memory: 17087 grad_norm: 6.1495 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0886 loss: 1.0886 2022/08/04 13:54:44 - mmengine - INFO - Epoch(train) [125][1340/1879] lr: 1.0000e-03 eta: 1 day, 5:36:00 time: 0.4439 data_time: 0.0162 memory: 17087 grad_norm: 6.1041 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0824 loss: 1.0824 2022/08/04 13:54:52 - mmengine - INFO - Epoch(train) [125][1360/1879] lr: 1.0000e-03 eta: 1 day, 5:35:52 time: 0.4327 data_time: 0.0169 memory: 17087 grad_norm: 6.1964 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0403 loss: 1.0403 2022/08/04 13:55:01 - mmengine - INFO - Epoch(train) [125][1380/1879] lr: 1.0000e-03 eta: 1 day, 5:35:43 time: 0.4523 data_time: 0.0165 memory: 17087 grad_norm: 6.0763 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9482 loss: 0.9482 2022/08/04 13:55:10 - mmengine - INFO - Epoch(train) [125][1400/1879] lr: 1.0000e-03 eta: 1 day, 5:35:35 time: 0.4270 data_time: 0.0144 memory: 17087 grad_norm: 6.0429 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0418 loss: 1.0418 2022/08/04 13:55:18 - mmengine - INFO - Epoch(train) [125][1420/1879] lr: 1.0000e-03 eta: 1 day, 5:35:26 time: 0.4276 data_time: 0.0147 memory: 17087 grad_norm: 5.9260 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9049 loss: 0.9049 2022/08/04 13:55:27 - mmengine - INFO - Epoch(train) [125][1440/1879] lr: 1.0000e-03 eta: 1 day, 5:35:17 time: 0.4371 data_time: 0.0163 memory: 17087 grad_norm: 5.9968 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8163 loss: 0.8163 2022/08/04 13:55:36 - mmengine - INFO - Epoch(train) [125][1460/1879] lr: 1.0000e-03 eta: 1 day, 5:35:09 time: 0.4284 data_time: 0.0175 memory: 17087 grad_norm: 5.8193 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8962 loss: 0.8962 2022/08/04 13:55:45 - mmengine - INFO - Epoch(train) [125][1480/1879] lr: 1.0000e-03 eta: 1 day, 5:35:01 time: 0.4652 data_time: 0.0179 memory: 17087 grad_norm: 6.1766 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0078 loss: 1.0078 2022/08/04 13:55:54 - mmengine - INFO - Epoch(train) [125][1500/1879] lr: 1.0000e-03 eta: 1 day, 5:34:52 time: 0.4263 data_time: 0.0147 memory: 17087 grad_norm: 6.0681 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0399 loss: 1.0399 2022/08/04 13:56:03 - mmengine - INFO - Epoch(train) [125][1520/1879] lr: 1.0000e-03 eta: 1 day, 5:34:44 time: 0.4493 data_time: 0.0177 memory: 17087 grad_norm: 6.0644 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8592 loss: 0.8592 2022/08/04 13:56:11 - mmengine - INFO - Epoch(train) [125][1540/1879] lr: 1.0000e-03 eta: 1 day, 5:34:35 time: 0.4285 data_time: 0.0148 memory: 17087 grad_norm: 6.1978 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1552 loss: 1.1552 2022/08/04 13:56:20 - mmengine - INFO - Epoch(train) [125][1560/1879] lr: 1.0000e-03 eta: 1 day, 5:34:26 time: 0.4287 data_time: 0.0165 memory: 17087 grad_norm: 6.1383 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9173 loss: 0.9173 2022/08/04 13:56:28 - mmengine - INFO - Epoch(train) [125][1580/1879] lr: 1.0000e-03 eta: 1 day, 5:34:18 time: 0.4278 data_time: 0.0150 memory: 17087 grad_norm: 6.3659 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9630 loss: 0.9630 2022/08/04 13:56:37 - mmengine - INFO - Epoch(train) [125][1600/1879] lr: 1.0000e-03 eta: 1 day, 5:34:09 time: 0.4281 data_time: 0.0171 memory: 17087 grad_norm: 6.1132 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9726 loss: 0.9726 2022/08/04 13:56:46 - mmengine - INFO - Epoch(train) [125][1620/1879] lr: 1.0000e-03 eta: 1 day, 5:34:01 time: 0.4651 data_time: 0.0153 memory: 17087 grad_norm: 6.0352 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8907 loss: 0.8907 2022/08/04 13:56:55 - mmengine - INFO - Epoch(train) [125][1640/1879] lr: 1.0000e-03 eta: 1 day, 5:33:52 time: 0.4299 data_time: 0.0158 memory: 17087 grad_norm: 6.2304 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9847 loss: 0.9847 2022/08/04 13:57:04 - mmengine - INFO - Epoch(train) [125][1660/1879] lr: 1.0000e-03 eta: 1 day, 5:33:44 time: 0.4673 data_time: 0.0166 memory: 17087 grad_norm: 6.0878 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9163 loss: 0.9163 2022/08/04 13:57:13 - mmengine - INFO - Epoch(train) [125][1680/1879] lr: 1.0000e-03 eta: 1 day, 5:33:36 time: 0.4286 data_time: 0.0157 memory: 17087 grad_norm: 6.2037 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9266 loss: 0.9266 2022/08/04 13:57:21 - mmengine - INFO - Epoch(train) [125][1700/1879] lr: 1.0000e-03 eta: 1 day, 5:33:27 time: 0.4327 data_time: 0.0157 memory: 17087 grad_norm: 6.0250 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9794 loss: 0.9794 2022/08/04 13:57:30 - mmengine - INFO - Epoch(train) [125][1720/1879] lr: 1.0000e-03 eta: 1 day, 5:33:18 time: 0.4280 data_time: 0.0163 memory: 17087 grad_norm: 6.0179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0022 loss: 1.0022 2022/08/04 13:57:39 - mmengine - INFO - Epoch(train) [125][1740/1879] lr: 1.0000e-03 eta: 1 day, 5:33:10 time: 0.4280 data_time: 0.0145 memory: 17087 grad_norm: 6.3622 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1372 loss: 1.1372 2022/08/04 13:57:47 - mmengine - INFO - Epoch(train) [125][1760/1879] lr: 1.0000e-03 eta: 1 day, 5:33:01 time: 0.4335 data_time: 0.0174 memory: 17087 grad_norm: 6.4345 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0667 loss: 1.0667 2022/08/04 13:57:56 - mmengine - INFO - Epoch(train) [125][1780/1879] lr: 1.0000e-03 eta: 1 day, 5:32:52 time: 0.4284 data_time: 0.0167 memory: 17087 grad_norm: 6.2143 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7822 loss: 0.7822 2022/08/04 13:58:05 - mmengine - INFO - Epoch(train) [125][1800/1879] lr: 1.0000e-03 eta: 1 day, 5:32:44 time: 0.4602 data_time: 0.0177 memory: 17087 grad_norm: 6.0584 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0657 loss: 1.0657 2022/08/04 13:58:14 - mmengine - INFO - Epoch(train) [125][1820/1879] lr: 1.0000e-03 eta: 1 day, 5:32:35 time: 0.4286 data_time: 0.0159 memory: 17087 grad_norm: 6.1395 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8057 loss: 0.8057 2022/08/04 13:58:23 - mmengine - INFO - Epoch(train) [125][1840/1879] lr: 1.0000e-03 eta: 1 day, 5:32:27 time: 0.4587 data_time: 0.0163 memory: 17087 grad_norm: 6.0564 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9905 loss: 0.9905 2022/08/04 13:58:31 - mmengine - INFO - Epoch(train) [125][1860/1879] lr: 1.0000e-03 eta: 1 day, 5:32:19 time: 0.4273 data_time: 0.0152 memory: 17087 grad_norm: 6.4011 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1166 loss: 1.1166 2022/08/04 13:58:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 13:58:39 - mmengine - INFO - Epoch(train) [125][1879/1879] lr: 1.0000e-03 eta: 1 day, 5:32:19 time: 0.4073 data_time: 0.0132 memory: 17087 grad_norm: 6.0967 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7710 loss: 0.7710 2022/08/04 13:58:47 - mmengine - INFO - Epoch(val) [125][20/155] eta: 0:00:53 time: 0.3946 data_time: 0.2237 memory: 2821 2022/08/04 13:58:52 - mmengine - INFO - Epoch(val) [125][40/155] eta: 0:00:27 time: 0.2404 data_time: 0.0730 memory: 2821 2022/08/04 13:58:58 - mmengine - INFO - Epoch(val) [125][60/155] eta: 0:00:30 time: 0.3174 data_time: 0.1510 memory: 2821 2022/08/04 13:59:04 - mmengine - INFO - Epoch(val) [125][80/155] eta: 0:00:19 time: 0.2661 data_time: 0.0946 memory: 2821 2022/08/04 13:59:10 - mmengine - INFO - Epoch(val) [125][100/155] eta: 0:00:18 time: 0.3286 data_time: 0.1623 memory: 2821 2022/08/04 13:59:15 - mmengine - INFO - Epoch(val) [125][120/155] eta: 0:00:08 time: 0.2497 data_time: 0.0809 memory: 2821 2022/08/04 13:59:22 - mmengine - INFO - Epoch(val) [125][140/155] eta: 0:00:04 time: 0.3220 data_time: 0.1520 memory: 2821 2022/08/04 13:59:27 - mmengine - INFO - Epoch(val) [125][155/155] acc/top1: 0.6954 acc/top5: 0.8855 acc/mean1: 0.6953 2022/08/04 13:59:38 - mmengine - INFO - Epoch(train) [126][20/1879] lr: 1.0000e-03 eta: 1 day, 5:31:56 time: 0.5624 data_time: 0.1405 memory: 17087 grad_norm: 6.1582 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9226 loss: 0.9226 2022/08/04 13:59:47 - mmengine - INFO - Epoch(train) [126][40/1879] lr: 1.0000e-03 eta: 1 day, 5:31:47 time: 0.4392 data_time: 0.0222 memory: 17087 grad_norm: 6.2650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9753 loss: 0.9753 2022/08/04 13:59:56 - mmengine - INFO - Epoch(train) [126][60/1879] lr: 1.0000e-03 eta: 1 day, 5:31:39 time: 0.4339 data_time: 0.0150 memory: 17087 grad_norm: 6.1530 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0728 loss: 1.0728 2022/08/04 14:00:04 - mmengine - INFO - Epoch(train) [126][80/1879] lr: 1.0000e-03 eta: 1 day, 5:31:30 time: 0.4307 data_time: 0.0168 memory: 17087 grad_norm: 6.1328 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1357 loss: 1.1357 2022/08/04 14:00:13 - mmengine - INFO - Epoch(train) [126][100/1879] lr: 1.0000e-03 eta: 1 day, 5:31:21 time: 0.4271 data_time: 0.0140 memory: 17087 grad_norm: 6.0336 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0580 loss: 1.0580 2022/08/04 14:00:21 - mmengine - INFO - Epoch(train) [126][120/1879] lr: 1.0000e-03 eta: 1 day, 5:31:13 time: 0.4298 data_time: 0.0170 memory: 17087 grad_norm: 5.9406 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9888 loss: 0.9888 2022/08/04 14:00:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 14:00:30 - mmengine - INFO - Epoch(train) [126][140/1879] lr: 1.0000e-03 eta: 1 day, 5:31:04 time: 0.4342 data_time: 0.0154 memory: 17087 grad_norm: 5.9936 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7837 loss: 0.7837 2022/08/04 14:00:39 - mmengine - INFO - Epoch(train) [126][160/1879] lr: 1.0000e-03 eta: 1 day, 5:30:55 time: 0.4288 data_time: 0.0166 memory: 17087 grad_norm: 6.0935 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0469 loss: 1.0469 2022/08/04 14:00:47 - mmengine - INFO - Epoch(train) [126][180/1879] lr: 1.0000e-03 eta: 1 day, 5:30:47 time: 0.4331 data_time: 0.0163 memory: 17087 grad_norm: 6.0402 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8459 loss: 0.8459 2022/08/04 14:00:56 - mmengine - INFO - Epoch(train) [126][200/1879] lr: 1.0000e-03 eta: 1 day, 5:30:38 time: 0.4392 data_time: 0.0158 memory: 17087 grad_norm: 6.0493 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8610 loss: 0.8610 2022/08/04 14:01:05 - mmengine - INFO - Epoch(train) [126][220/1879] lr: 1.0000e-03 eta: 1 day, 5:30:30 time: 0.4396 data_time: 0.0147 memory: 17087 grad_norm: 6.0007 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9533 loss: 0.9533 2022/08/04 14:01:14 - mmengine - INFO - Epoch(train) [126][240/1879] lr: 1.0000e-03 eta: 1 day, 5:30:22 time: 0.4502 data_time: 0.0184 memory: 17087 grad_norm: 6.1461 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9346 loss: 0.9346 2022/08/04 14:01:23 - mmengine - INFO - Epoch(train) [126][260/1879] lr: 1.0000e-03 eta: 1 day, 5:30:13 time: 0.4389 data_time: 0.0148 memory: 17087 grad_norm: 6.0075 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1417 loss: 1.1417 2022/08/04 14:01:31 - mmengine - INFO - Epoch(train) [126][280/1879] lr: 1.0000e-03 eta: 1 day, 5:30:04 time: 0.4290 data_time: 0.0164 memory: 17087 grad_norm: 6.0271 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8504 loss: 0.8504 2022/08/04 14:01:40 - mmengine - INFO - Epoch(train) [126][300/1879] lr: 1.0000e-03 eta: 1 day, 5:29:56 time: 0.4249 data_time: 0.0147 memory: 17087 grad_norm: 6.4054 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0883 loss: 1.0883 2022/08/04 14:01:48 - mmengine - INFO - Epoch(train) [126][320/1879] lr: 1.0000e-03 eta: 1 day, 5:29:47 time: 0.4273 data_time: 0.0159 memory: 17087 grad_norm: 6.0725 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9228 loss: 0.9228 2022/08/04 14:01:57 - mmengine - INFO - Epoch(train) [126][340/1879] lr: 1.0000e-03 eta: 1 day, 5:29:38 time: 0.4299 data_time: 0.0191 memory: 17087 grad_norm: 5.9776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8417 loss: 0.8417 2022/08/04 14:02:06 - mmengine - INFO - Epoch(train) [126][360/1879] lr: 1.0000e-03 eta: 1 day, 5:29:30 time: 0.4362 data_time: 0.0175 memory: 17087 grad_norm: 5.8544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9105 loss: 0.9105 2022/08/04 14:02:14 - mmengine - INFO - Epoch(train) [126][380/1879] lr: 1.0000e-03 eta: 1 day, 5:29:21 time: 0.4290 data_time: 0.0153 memory: 17087 grad_norm: 5.9332 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9933 loss: 0.9933 2022/08/04 14:02:23 - mmengine - INFO - Epoch(train) [126][400/1879] lr: 1.0000e-03 eta: 1 day, 5:29:12 time: 0.4303 data_time: 0.0168 memory: 17087 grad_norm: 6.1203 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0536 loss: 1.0536 2022/08/04 14:02:32 - mmengine - INFO - Epoch(train) [126][420/1879] lr: 1.0000e-03 eta: 1 day, 5:29:04 time: 0.4278 data_time: 0.0143 memory: 17087 grad_norm: 6.0911 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1308 loss: 1.1308 2022/08/04 14:02:40 - mmengine - INFO - Epoch(train) [126][440/1879] lr: 1.0000e-03 eta: 1 day, 5:28:55 time: 0.4361 data_time: 0.0153 memory: 17087 grad_norm: 6.0293 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9167 loss: 0.9167 2022/08/04 14:02:49 - mmengine - INFO - Epoch(train) [126][460/1879] lr: 1.0000e-03 eta: 1 day, 5:28:46 time: 0.4276 data_time: 0.0134 memory: 17087 grad_norm: 6.2041 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9925 loss: 0.9925 2022/08/04 14:02:57 - mmengine - INFO - Epoch(train) [126][480/1879] lr: 1.0000e-03 eta: 1 day, 5:28:38 time: 0.4278 data_time: 0.0157 memory: 17087 grad_norm: 6.0389 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8805 loss: 0.8805 2022/08/04 14:03:06 - mmengine - INFO - Epoch(train) [126][500/1879] lr: 1.0000e-03 eta: 1 day, 5:28:29 time: 0.4355 data_time: 0.0161 memory: 17087 grad_norm: 6.0195 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9429 loss: 0.9429 2022/08/04 14:03:15 - mmengine - INFO - Epoch(train) [126][520/1879] lr: 1.0000e-03 eta: 1 day, 5:28:20 time: 0.4285 data_time: 0.0167 memory: 17087 grad_norm: 6.0546 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9704 loss: 0.9704 2022/08/04 14:03:24 - mmengine - INFO - Epoch(train) [126][540/1879] lr: 1.0000e-03 eta: 1 day, 5:28:12 time: 0.4366 data_time: 0.0142 memory: 17087 grad_norm: 6.1952 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0084 loss: 1.0084 2022/08/04 14:03:34 - mmengine - INFO - Epoch(train) [126][560/1879] lr: 1.0000e-03 eta: 1 day, 5:28:05 time: 0.5313 data_time: 0.0180 memory: 17087 grad_norm: 6.0959 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8178 loss: 0.8178 2022/08/04 14:03:43 - mmengine - INFO - Epoch(train) [126][580/1879] lr: 1.0000e-03 eta: 1 day, 5:27:56 time: 0.4304 data_time: 0.0157 memory: 17087 grad_norm: 6.1151 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8127 loss: 0.8127 2022/08/04 14:03:51 - mmengine - INFO - Epoch(train) [126][600/1879] lr: 1.0000e-03 eta: 1 day, 5:27:48 time: 0.4307 data_time: 0.0172 memory: 17087 grad_norm: 6.2896 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0207 loss: 1.0207 2022/08/04 14:04:00 - mmengine - INFO - Epoch(train) [126][620/1879] lr: 1.0000e-03 eta: 1 day, 5:27:39 time: 0.4313 data_time: 0.0167 memory: 17087 grad_norm: 6.1550 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9177 loss: 0.9177 2022/08/04 14:04:09 - mmengine - INFO - Epoch(train) [126][640/1879] lr: 1.0000e-03 eta: 1 day, 5:27:31 time: 0.4338 data_time: 0.0144 memory: 17087 grad_norm: 6.0777 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1399 loss: 1.1399 2022/08/04 14:04:18 - mmengine - INFO - Epoch(train) [126][660/1879] lr: 1.0000e-03 eta: 1 day, 5:27:22 time: 0.4516 data_time: 0.0172 memory: 17087 grad_norm: 6.1901 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8628 loss: 0.8628 2022/08/04 14:04:27 - mmengine - INFO - Epoch(train) [126][680/1879] lr: 1.0000e-03 eta: 1 day, 5:27:14 time: 0.4375 data_time: 0.0148 memory: 17087 grad_norm: 5.9714 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8609 loss: 0.8609 2022/08/04 14:04:37 - mmengine - INFO - Epoch(train) [126][700/1879] lr: 1.0000e-03 eta: 1 day, 5:27:07 time: 0.5433 data_time: 0.0165 memory: 17087 grad_norm: 6.1989 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9711 loss: 0.9711 2022/08/04 14:04:46 - mmengine - INFO - Epoch(train) [126][720/1879] lr: 1.0000e-03 eta: 1 day, 5:26:59 time: 0.4348 data_time: 0.0227 memory: 17087 grad_norm: 6.2228 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8536 loss: 0.8536 2022/08/04 14:04:56 - mmengine - INFO - Epoch(train) [126][740/1879] lr: 1.0000e-03 eta: 1 day, 5:26:52 time: 0.5153 data_time: 0.0155 memory: 17087 grad_norm: 5.9842 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0160 loss: 1.0160 2022/08/04 14:05:05 - mmengine - INFO - Epoch(train) [126][760/1879] lr: 1.0000e-03 eta: 1 day, 5:26:43 time: 0.4339 data_time: 0.0165 memory: 17087 grad_norm: 6.2195 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0418 loss: 1.0418 2022/08/04 14:05:14 - mmengine - INFO - Epoch(train) [126][780/1879] lr: 1.0000e-03 eta: 1 day, 5:26:35 time: 0.4354 data_time: 0.0153 memory: 17087 grad_norm: 6.2691 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9337 loss: 0.9337 2022/08/04 14:05:23 - mmengine - INFO - Epoch(train) [126][800/1879] lr: 1.0000e-03 eta: 1 day, 5:26:26 time: 0.4297 data_time: 0.0167 memory: 17087 grad_norm: 6.2097 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0002 loss: 1.0002 2022/08/04 14:05:32 - mmengine - INFO - Epoch(train) [126][820/1879] lr: 1.0000e-03 eta: 1 day, 5:26:18 time: 0.4513 data_time: 0.0151 memory: 17087 grad_norm: 6.1514 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8134 loss: 0.8134 2022/08/04 14:05:40 - mmengine - INFO - Epoch(train) [126][840/1879] lr: 1.0000e-03 eta: 1 day, 5:26:09 time: 0.4327 data_time: 0.0155 memory: 17087 grad_norm: 6.0435 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0351 loss: 1.0351 2022/08/04 14:05:49 - mmengine - INFO - Epoch(train) [126][860/1879] lr: 1.0000e-03 eta: 1 day, 5:26:01 time: 0.4333 data_time: 0.0193 memory: 17087 grad_norm: 6.0868 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0588 loss: 1.0588 2022/08/04 14:05:58 - mmengine - INFO - Epoch(train) [126][880/1879] lr: 1.0000e-03 eta: 1 day, 5:25:52 time: 0.4362 data_time: 0.0205 memory: 17087 grad_norm: 6.0024 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8027 loss: 0.8027 2022/08/04 14:06:06 - mmengine - INFO - Epoch(train) [126][900/1879] lr: 1.0000e-03 eta: 1 day, 5:25:43 time: 0.4272 data_time: 0.0128 memory: 17087 grad_norm: 6.2320 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9836 loss: 0.9836 2022/08/04 14:06:15 - mmengine - INFO - Epoch(train) [126][920/1879] lr: 1.0000e-03 eta: 1 day, 5:25:35 time: 0.4341 data_time: 0.0166 memory: 17087 grad_norm: 6.1777 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1066 loss: 1.1066 2022/08/04 14:06:23 - mmengine - INFO - Epoch(train) [126][940/1879] lr: 1.0000e-03 eta: 1 day, 5:25:26 time: 0.4286 data_time: 0.0143 memory: 17087 grad_norm: 6.1495 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8895 loss: 0.8895 2022/08/04 14:06:32 - mmengine - INFO - Epoch(train) [126][960/1879] lr: 1.0000e-03 eta: 1 day, 5:25:17 time: 0.4299 data_time: 0.0193 memory: 17087 grad_norm: 5.7945 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8727 loss: 0.8727 2022/08/04 14:06:41 - mmengine - INFO - Epoch(train) [126][980/1879] lr: 1.0000e-03 eta: 1 day, 5:25:09 time: 0.4300 data_time: 0.0148 memory: 17087 grad_norm: 6.2104 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7525 loss: 0.7525 2022/08/04 14:06:49 - mmengine - INFO - Epoch(train) [126][1000/1879] lr: 1.0000e-03 eta: 1 day, 5:25:00 time: 0.4293 data_time: 0.0167 memory: 17087 grad_norm: 6.0660 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9851 loss: 0.9851 2022/08/04 14:06:58 - mmengine - INFO - Epoch(train) [126][1020/1879] lr: 1.0000e-03 eta: 1 day, 5:24:51 time: 0.4353 data_time: 0.0132 memory: 17087 grad_norm: 6.3367 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0726 loss: 1.0726 2022/08/04 14:07:07 - mmengine - INFO - Epoch(train) [126][1040/1879] lr: 1.0000e-03 eta: 1 day, 5:24:43 time: 0.4337 data_time: 0.0174 memory: 17087 grad_norm: 5.8611 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9138 loss: 0.9138 2022/08/04 14:07:15 - mmengine - INFO - Epoch(train) [126][1060/1879] lr: 1.0000e-03 eta: 1 day, 5:24:34 time: 0.4289 data_time: 0.0147 memory: 17087 grad_norm: 6.1480 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0268 loss: 1.0268 2022/08/04 14:07:24 - mmengine - INFO - Epoch(train) [126][1080/1879] lr: 1.0000e-03 eta: 1 day, 5:24:26 time: 0.4367 data_time: 0.0157 memory: 17087 grad_norm: 6.1546 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0000 loss: 1.0000 2022/08/04 14:07:33 - mmengine - INFO - Epoch(train) [126][1100/1879] lr: 1.0000e-03 eta: 1 day, 5:24:17 time: 0.4310 data_time: 0.0197 memory: 17087 grad_norm: 6.3072 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8806 loss: 0.8806 2022/08/04 14:07:42 - mmengine - INFO - Epoch(train) [126][1120/1879] lr: 1.0000e-03 eta: 1 day, 5:24:09 time: 0.4822 data_time: 0.0218 memory: 17087 grad_norm: 6.1935 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9176 loss: 0.9176 2022/08/04 14:07:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 14:07:51 - mmengine - INFO - Epoch(train) [126][1140/1879] lr: 1.0000e-03 eta: 1 day, 5:24:01 time: 0.4297 data_time: 0.0166 memory: 17087 grad_norm: 6.1626 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0346 loss: 1.0346 2022/08/04 14:08:00 - mmengine - INFO - Epoch(train) [126][1160/1879] lr: 1.0000e-03 eta: 1 day, 5:23:52 time: 0.4272 data_time: 0.0156 memory: 17087 grad_norm: 6.1425 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9632 loss: 0.9632 2022/08/04 14:08:09 - mmengine - INFO - Epoch(train) [126][1180/1879] lr: 1.0000e-03 eta: 1 day, 5:23:44 time: 0.4536 data_time: 0.0148 memory: 17087 grad_norm: 6.2579 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1545 loss: 1.1545 2022/08/04 14:08:17 - mmengine - INFO - Epoch(train) [126][1200/1879] lr: 1.0000e-03 eta: 1 day, 5:23:35 time: 0.4372 data_time: 0.0232 memory: 17087 grad_norm: 5.9807 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1453 loss: 1.1453 2022/08/04 14:08:26 - mmengine - INFO - Epoch(train) [126][1220/1879] lr: 1.0000e-03 eta: 1 day, 5:23:26 time: 0.4287 data_time: 0.0139 memory: 17087 grad_norm: 6.1592 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1257 loss: 1.1257 2022/08/04 14:08:35 - mmengine - INFO - Epoch(train) [126][1240/1879] lr: 1.0000e-03 eta: 1 day, 5:23:18 time: 0.4525 data_time: 0.0174 memory: 17087 grad_norm: 5.9424 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9125 loss: 0.9125 2022/08/04 14:08:44 - mmengine - INFO - Epoch(train) [126][1260/1879] lr: 1.0000e-03 eta: 1 day, 5:23:10 time: 0.4279 data_time: 0.0138 memory: 17087 grad_norm: 6.0714 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9163 loss: 0.9163 2022/08/04 14:08:52 - mmengine - INFO - Epoch(train) [126][1280/1879] lr: 1.0000e-03 eta: 1 day, 5:23:01 time: 0.4403 data_time: 0.0173 memory: 17087 grad_norm: 6.3417 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9601 loss: 0.9601 2022/08/04 14:09:01 - mmengine - INFO - Epoch(train) [126][1300/1879] lr: 1.0000e-03 eta: 1 day, 5:22:52 time: 0.4276 data_time: 0.0141 memory: 17087 grad_norm: 6.3104 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1375 loss: 1.1375 2022/08/04 14:09:10 - mmengine - INFO - Epoch(train) [126][1320/1879] lr: 1.0000e-03 eta: 1 day, 5:22:44 time: 0.4300 data_time: 0.0164 memory: 17087 grad_norm: 6.0746 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9355 loss: 0.9355 2022/08/04 14:09:19 - mmengine - INFO - Epoch(train) [126][1340/1879] lr: 1.0000e-03 eta: 1 day, 5:22:35 time: 0.4530 data_time: 0.0162 memory: 17087 grad_norm: 6.2914 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0304 loss: 1.0304 2022/08/04 14:09:27 - mmengine - INFO - Epoch(train) [126][1360/1879] lr: 1.0000e-03 eta: 1 day, 5:22:27 time: 0.4298 data_time: 0.0175 memory: 17087 grad_norm: 6.3255 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0814 loss: 1.0814 2022/08/04 14:09:36 - mmengine - INFO - Epoch(train) [126][1380/1879] lr: 1.0000e-03 eta: 1 day, 5:22:18 time: 0.4376 data_time: 0.0153 memory: 17087 grad_norm: 6.1925 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0596 loss: 1.0596 2022/08/04 14:09:45 - mmengine - INFO - Epoch(train) [126][1400/1879] lr: 1.0000e-03 eta: 1 day, 5:22:10 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 6.2531 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0058 loss: 1.0058 2022/08/04 14:09:54 - mmengine - INFO - Epoch(train) [126][1420/1879] lr: 1.0000e-03 eta: 1 day, 5:22:01 time: 0.4609 data_time: 0.0166 memory: 17087 grad_norm: 6.2901 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0755 loss: 1.0755 2022/08/04 14:10:02 - mmengine - INFO - Epoch(train) [126][1440/1879] lr: 1.0000e-03 eta: 1 day, 5:21:53 time: 0.4268 data_time: 0.0157 memory: 17087 grad_norm: 6.0255 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9819 loss: 0.9819 2022/08/04 14:10:12 - mmengine - INFO - Epoch(train) [126][1460/1879] lr: 1.0000e-03 eta: 1 day, 5:21:45 time: 0.4555 data_time: 0.0154 memory: 17087 grad_norm: 6.3625 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.1899 loss: 1.1899 2022/08/04 14:10:20 - mmengine - INFO - Epoch(train) [126][1480/1879] lr: 1.0000e-03 eta: 1 day, 5:21:36 time: 0.4280 data_time: 0.0165 memory: 17087 grad_norm: 6.2219 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9775 loss: 0.9775 2022/08/04 14:10:29 - mmengine - INFO - Epoch(train) [126][1500/1879] lr: 1.0000e-03 eta: 1 day, 5:21:27 time: 0.4263 data_time: 0.0151 memory: 17087 grad_norm: 6.1086 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9640 loss: 0.9640 2022/08/04 14:10:38 - mmengine - INFO - Epoch(train) [126][1520/1879] lr: 1.0000e-03 eta: 1 day, 5:21:19 time: 0.4573 data_time: 0.0175 memory: 17087 grad_norm: 6.1833 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9409 loss: 0.9409 2022/08/04 14:10:46 - mmengine - INFO - Epoch(train) [126][1540/1879] lr: 1.0000e-03 eta: 1 day, 5:21:10 time: 0.4282 data_time: 0.0172 memory: 17087 grad_norm: 6.2439 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9781 loss: 0.9781 2022/08/04 14:10:56 - mmengine - INFO - Epoch(train) [126][1560/1879] lr: 1.0000e-03 eta: 1 day, 5:21:02 time: 0.4602 data_time: 0.0162 memory: 17087 grad_norm: 6.2678 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0716 loss: 1.0716 2022/08/04 14:11:04 - mmengine - INFO - Epoch(train) [126][1580/1879] lr: 1.0000e-03 eta: 1 day, 5:20:53 time: 0.4278 data_time: 0.0148 memory: 17087 grad_norm: 5.9392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0116 loss: 1.0116 2022/08/04 14:11:13 - mmengine - INFO - Epoch(train) [126][1600/1879] lr: 1.0000e-03 eta: 1 day, 5:20:45 time: 0.4318 data_time: 0.0165 memory: 17087 grad_norm: 6.1496 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9835 loss: 0.9835 2022/08/04 14:11:21 - mmengine - INFO - Epoch(train) [126][1620/1879] lr: 1.0000e-03 eta: 1 day, 5:20:36 time: 0.4277 data_time: 0.0148 memory: 17087 grad_norm: 6.3257 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0467 loss: 1.0467 2022/08/04 14:11:30 - mmengine - INFO - Epoch(train) [126][1640/1879] lr: 1.0000e-03 eta: 1 day, 5:20:28 time: 0.4520 data_time: 0.0146 memory: 17087 grad_norm: 6.2359 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9529 loss: 0.9529 2022/08/04 14:11:39 - mmengine - INFO - Epoch(train) [126][1660/1879] lr: 1.0000e-03 eta: 1 day, 5:20:19 time: 0.4279 data_time: 0.0138 memory: 17087 grad_norm: 6.0969 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7969 loss: 0.7969 2022/08/04 14:11:48 - mmengine - INFO - Epoch(train) [126][1680/1879] lr: 1.0000e-03 eta: 1 day, 5:20:11 time: 0.4561 data_time: 0.0170 memory: 17087 grad_norm: 6.2994 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0676 loss: 1.0676 2022/08/04 14:11:57 - mmengine - INFO - Epoch(train) [126][1700/1879] lr: 1.0000e-03 eta: 1 day, 5:20:03 time: 0.4402 data_time: 0.0159 memory: 17087 grad_norm: 5.9670 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8913 loss: 0.8913 2022/08/04 14:12:06 - mmengine - INFO - Epoch(train) [126][1720/1879] lr: 1.0000e-03 eta: 1 day, 5:19:54 time: 0.4269 data_time: 0.0150 memory: 17087 grad_norm: 6.2392 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0501 loss: 1.0501 2022/08/04 14:12:14 - mmengine - INFO - Epoch(train) [126][1740/1879] lr: 1.0000e-03 eta: 1 day, 5:19:45 time: 0.4417 data_time: 0.0148 memory: 17087 grad_norm: 6.3462 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9773 loss: 0.9773 2022/08/04 14:12:23 - mmengine - INFO - Epoch(train) [126][1760/1879] lr: 1.0000e-03 eta: 1 day, 5:19:37 time: 0.4279 data_time: 0.0154 memory: 17087 grad_norm: 6.4178 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0776 loss: 1.0776 2022/08/04 14:12:32 - mmengine - INFO - Epoch(train) [126][1780/1879] lr: 1.0000e-03 eta: 1 day, 5:19:29 time: 0.4571 data_time: 0.0155 memory: 17087 grad_norm: 6.2635 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0426 loss: 1.0426 2022/08/04 14:12:41 - mmengine - INFO - Epoch(train) [126][1800/1879] lr: 1.0000e-03 eta: 1 day, 5:19:20 time: 0.4270 data_time: 0.0172 memory: 17087 grad_norm: 6.1723 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0293 loss: 1.0293 2022/08/04 14:12:49 - mmengine - INFO - Epoch(train) [126][1820/1879] lr: 1.0000e-03 eta: 1 day, 5:19:11 time: 0.4375 data_time: 0.0185 memory: 17087 grad_norm: 6.1031 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9529 loss: 0.9529 2022/08/04 14:12:58 - mmengine - INFO - Epoch(train) [126][1840/1879] lr: 1.0000e-03 eta: 1 day, 5:19:03 time: 0.4282 data_time: 0.0162 memory: 17087 grad_norm: 6.2728 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0271 loss: 1.0271 2022/08/04 14:13:07 - mmengine - INFO - Epoch(train) [126][1860/1879] lr: 1.0000e-03 eta: 1 day, 5:18:54 time: 0.4302 data_time: 0.0161 memory: 17087 grad_norm: 6.2878 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9202 loss: 0.9202 2022/08/04 14:13:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 14:13:15 - mmengine - INFO - Epoch(train) [126][1879/1879] lr: 1.0000e-03 eta: 1 day, 5:18:54 time: 0.4200 data_time: 0.0154 memory: 17087 grad_norm: 6.2350 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9619 loss: 0.9619 2022/08/04 14:13:26 - mmengine - INFO - Epoch(train) [127][20/1879] lr: 1.0000e-03 eta: 1 day, 5:18:31 time: 0.5753 data_time: 0.1433 memory: 17087 grad_norm: 6.0361 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8840 loss: 0.8840 2022/08/04 14:13:35 - mmengine - INFO - Epoch(train) [127][40/1879] lr: 1.0000e-03 eta: 1 day, 5:18:23 time: 0.4537 data_time: 0.0214 memory: 17087 grad_norm: 6.2518 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9280 loss: 0.9280 2022/08/04 14:13:44 - mmengine - INFO - Epoch(train) [127][60/1879] lr: 1.0000e-03 eta: 1 day, 5:18:15 time: 0.4424 data_time: 0.0147 memory: 17087 grad_norm: 6.1814 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9041 loss: 0.9041 2022/08/04 14:13:53 - mmengine - INFO - Epoch(train) [127][80/1879] lr: 1.0000e-03 eta: 1 day, 5:18:06 time: 0.4387 data_time: 0.0211 memory: 17087 grad_norm: 6.2386 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0338 loss: 1.0338 2022/08/04 14:14:01 - mmengine - INFO - Epoch(train) [127][100/1879] lr: 1.0000e-03 eta: 1 day, 5:17:58 time: 0.4275 data_time: 0.0132 memory: 17087 grad_norm: 6.2524 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9339 loss: 0.9339 2022/08/04 14:14:10 - mmengine - INFO - Epoch(train) [127][120/1879] lr: 1.0000e-03 eta: 1 day, 5:17:49 time: 0.4293 data_time: 0.0166 memory: 17087 grad_norm: 6.0232 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8297 loss: 0.8297 2022/08/04 14:14:19 - mmengine - INFO - Epoch(train) [127][140/1879] lr: 1.0000e-03 eta: 1 day, 5:17:40 time: 0.4317 data_time: 0.0123 memory: 17087 grad_norm: 6.1667 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9258 loss: 0.9258 2022/08/04 14:14:27 - mmengine - INFO - Epoch(train) [127][160/1879] lr: 1.0000e-03 eta: 1 day, 5:17:32 time: 0.4272 data_time: 0.0166 memory: 17087 grad_norm: 6.0615 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8484 loss: 0.8484 2022/08/04 14:14:36 - mmengine - INFO - Epoch(train) [127][180/1879] lr: 1.0000e-03 eta: 1 day, 5:17:23 time: 0.4333 data_time: 0.0131 memory: 17087 grad_norm: 6.2327 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0016 loss: 1.0016 2022/08/04 14:14:45 - mmengine - INFO - Epoch(train) [127][200/1879] lr: 1.0000e-03 eta: 1 day, 5:17:14 time: 0.4298 data_time: 0.0154 memory: 17087 grad_norm: 6.1789 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9824 loss: 0.9824 2022/08/04 14:14:53 - mmengine - INFO - Epoch(train) [127][220/1879] lr: 1.0000e-03 eta: 1 day, 5:17:06 time: 0.4343 data_time: 0.0138 memory: 17087 grad_norm: 6.4287 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1360 loss: 1.1360 2022/08/04 14:15:02 - mmengine - INFO - Epoch(train) [127][240/1879] lr: 1.0000e-03 eta: 1 day, 5:16:57 time: 0.4338 data_time: 0.0219 memory: 17087 grad_norm: 6.1786 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1061 loss: 1.1061 2022/08/04 14:15:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 14:15:11 - mmengine - INFO - Epoch(train) [127][260/1879] lr: 1.0000e-03 eta: 1 day, 5:16:48 time: 0.4274 data_time: 0.0140 memory: 17087 grad_norm: 6.2003 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9887 loss: 0.9887 2022/08/04 14:15:20 - mmengine - INFO - Epoch(train) [127][280/1879] lr: 1.0000e-03 eta: 1 day, 5:16:40 time: 0.4553 data_time: 0.0159 memory: 17087 grad_norm: 6.0363 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0320 loss: 1.0320 2022/08/04 14:15:28 - mmengine - INFO - Epoch(train) [127][300/1879] lr: 1.0000e-03 eta: 1 day, 5:16:32 time: 0.4326 data_time: 0.0193 memory: 17087 grad_norm: 6.1967 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8825 loss: 0.8825 2022/08/04 14:15:38 - mmengine - INFO - Epoch(train) [127][320/1879] lr: 1.0000e-03 eta: 1 day, 5:16:24 time: 0.4657 data_time: 0.0166 memory: 17087 grad_norm: 6.2322 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0117 loss: 1.0117 2022/08/04 14:15:46 - mmengine - INFO - Epoch(train) [127][340/1879] lr: 1.0000e-03 eta: 1 day, 5:16:15 time: 0.4270 data_time: 0.0154 memory: 17087 grad_norm: 6.2808 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8539 loss: 0.8539 2022/08/04 14:15:55 - mmengine - INFO - Epoch(train) [127][360/1879] lr: 1.0000e-03 eta: 1 day, 5:16:07 time: 0.4618 data_time: 0.0164 memory: 17087 grad_norm: 6.2352 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1342 loss: 1.1342 2022/08/04 14:16:04 - mmengine - INFO - Epoch(train) [127][380/1879] lr: 1.0000e-03 eta: 1 day, 5:15:58 time: 0.4311 data_time: 0.0191 memory: 17087 grad_norm: 6.3336 top1_acc: 0.3750 top5_acc: 0.6875 loss_cls: 1.0617 loss: 1.0617 2022/08/04 14:16:13 - mmengine - INFO - Epoch(train) [127][400/1879] lr: 1.0000e-03 eta: 1 day, 5:15:50 time: 0.4575 data_time: 0.0201 memory: 17087 grad_norm: 6.4274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0448 loss: 1.0448 2022/08/04 14:16:22 - mmengine - INFO - Epoch(train) [127][420/1879] lr: 1.0000e-03 eta: 1 day, 5:15:41 time: 0.4346 data_time: 0.0214 memory: 17087 grad_norm: 6.3213 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8694 loss: 0.8694 2022/08/04 14:16:31 - mmengine - INFO - Epoch(train) [127][440/1879] lr: 1.0000e-03 eta: 1 day, 5:15:33 time: 0.4536 data_time: 0.0170 memory: 17087 grad_norm: 6.0094 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8465 loss: 0.8465 2022/08/04 14:16:40 - mmengine - INFO - Epoch(train) [127][460/1879] lr: 1.0000e-03 eta: 1 day, 5:15:25 time: 0.4259 data_time: 0.0129 memory: 17087 grad_norm: 5.9399 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1836 loss: 1.1836 2022/08/04 14:16:48 - mmengine - INFO - Epoch(train) [127][480/1879] lr: 1.0000e-03 eta: 1 day, 5:15:16 time: 0.4349 data_time: 0.0161 memory: 17087 grad_norm: 6.0088 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8313 loss: 0.8313 2022/08/04 14:16:57 - mmengine - INFO - Epoch(train) [127][500/1879] lr: 1.0000e-03 eta: 1 day, 5:15:08 time: 0.4467 data_time: 0.0138 memory: 17087 grad_norm: 6.1269 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0380 loss: 1.0380 2022/08/04 14:17:06 - mmengine - INFO - Epoch(train) [127][520/1879] lr: 1.0000e-03 eta: 1 day, 5:14:59 time: 0.4355 data_time: 0.0181 memory: 17087 grad_norm: 6.1215 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9569 loss: 0.9569 2022/08/04 14:17:14 - mmengine - INFO - Epoch(train) [127][540/1879] lr: 1.0000e-03 eta: 1 day, 5:14:50 time: 0.4250 data_time: 0.0149 memory: 17087 grad_norm: 6.0051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0165 loss: 1.0165 2022/08/04 14:17:23 - mmengine - INFO - Epoch(train) [127][560/1879] lr: 1.0000e-03 eta: 1 day, 5:14:42 time: 0.4433 data_time: 0.0176 memory: 17087 grad_norm: 6.2433 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9693 loss: 0.9693 2022/08/04 14:17:32 - mmengine - INFO - Epoch(train) [127][580/1879] lr: 1.0000e-03 eta: 1 day, 5:14:33 time: 0.4277 data_time: 0.0148 memory: 17087 grad_norm: 6.1348 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0793 loss: 1.0793 2022/08/04 14:17:41 - mmengine - INFO - Epoch(train) [127][600/1879] lr: 1.0000e-03 eta: 1 day, 5:14:25 time: 0.4372 data_time: 0.0176 memory: 17087 grad_norm: 6.2662 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0357 loss: 1.0357 2022/08/04 14:17:50 - mmengine - INFO - Epoch(train) [127][620/1879] lr: 1.0000e-03 eta: 1 day, 5:14:16 time: 0.4496 data_time: 0.0158 memory: 17087 grad_norm: 6.4226 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9398 loss: 0.9398 2022/08/04 14:17:58 - mmengine - INFO - Epoch(train) [127][640/1879] lr: 1.0000e-03 eta: 1 day, 5:14:08 time: 0.4286 data_time: 0.0166 memory: 17087 grad_norm: 6.0469 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.2018 loss: 1.2018 2022/08/04 14:18:07 - mmengine - INFO - Epoch(train) [127][660/1879] lr: 1.0000e-03 eta: 1 day, 5:13:59 time: 0.4321 data_time: 0.0153 memory: 17087 grad_norm: 6.1309 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0601 loss: 1.0601 2022/08/04 14:18:16 - mmengine - INFO - Epoch(train) [127][680/1879] lr: 1.0000e-03 eta: 1 day, 5:13:50 time: 0.4285 data_time: 0.0150 memory: 17087 grad_norm: 6.4297 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9349 loss: 0.9349 2022/08/04 14:18:24 - mmengine - INFO - Epoch(train) [127][700/1879] lr: 1.0000e-03 eta: 1 day, 5:13:42 time: 0.4339 data_time: 0.0147 memory: 17087 grad_norm: 5.8437 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9338 loss: 0.9338 2022/08/04 14:18:33 - mmengine - INFO - Epoch(train) [127][720/1879] lr: 1.0000e-03 eta: 1 day, 5:13:33 time: 0.4314 data_time: 0.0178 memory: 17087 grad_norm: 6.0840 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8958 loss: 0.8958 2022/08/04 14:18:42 - mmengine - INFO - Epoch(train) [127][740/1879] lr: 1.0000e-03 eta: 1 day, 5:13:24 time: 0.4323 data_time: 0.0156 memory: 17087 grad_norm: 6.2864 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8743 loss: 0.8743 2022/08/04 14:18:50 - mmengine - INFO - Epoch(train) [127][760/1879] lr: 1.0000e-03 eta: 1 day, 5:13:16 time: 0.4302 data_time: 0.0160 memory: 17087 grad_norm: 5.9920 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1351 loss: 1.1351 2022/08/04 14:18:59 - mmengine - INFO - Epoch(train) [127][780/1879] lr: 1.0000e-03 eta: 1 day, 5:13:07 time: 0.4437 data_time: 0.0134 memory: 17087 grad_norm: 6.3071 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9977 loss: 0.9977 2022/08/04 14:19:08 - mmengine - INFO - Epoch(train) [127][800/1879] lr: 1.0000e-03 eta: 1 day, 5:12:59 time: 0.4315 data_time: 0.0180 memory: 17087 grad_norm: 6.2894 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9579 loss: 0.9579 2022/08/04 14:19:16 - mmengine - INFO - Epoch(train) [127][820/1879] lr: 1.0000e-03 eta: 1 day, 5:12:50 time: 0.4295 data_time: 0.0149 memory: 17087 grad_norm: 6.1342 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8466 loss: 0.8466 2022/08/04 14:19:25 - mmengine - INFO - Epoch(train) [127][840/1879] lr: 1.0000e-03 eta: 1 day, 5:12:42 time: 0.4516 data_time: 0.0166 memory: 17087 grad_norm: 6.2423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9189 loss: 0.9189 2022/08/04 14:19:34 - mmengine - INFO - Epoch(train) [127][860/1879] lr: 1.0000e-03 eta: 1 day, 5:12:33 time: 0.4368 data_time: 0.0158 memory: 17087 grad_norm: 6.2549 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9297 loss: 0.9297 2022/08/04 14:19:43 - mmengine - INFO - Epoch(train) [127][880/1879] lr: 1.0000e-03 eta: 1 day, 5:12:25 time: 0.4636 data_time: 0.0165 memory: 17087 grad_norm: 5.9938 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8927 loss: 0.8927 2022/08/04 14:19:52 - mmengine - INFO - Epoch(train) [127][900/1879] lr: 1.0000e-03 eta: 1 day, 5:12:17 time: 0.4323 data_time: 0.0148 memory: 17087 grad_norm: 6.1860 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9711 loss: 0.9711 2022/08/04 14:20:01 - mmengine - INFO - Epoch(train) [127][920/1879] lr: 1.0000e-03 eta: 1 day, 5:12:08 time: 0.4323 data_time: 0.0209 memory: 17087 grad_norm: 6.2460 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9511 loss: 0.9511 2022/08/04 14:20:10 - mmengine - INFO - Epoch(train) [127][940/1879] lr: 1.0000e-03 eta: 1 day, 5:12:00 time: 0.4603 data_time: 0.0131 memory: 17087 grad_norm: 6.2877 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8037 loss: 0.8037 2022/08/04 14:20:19 - mmengine - INFO - Epoch(train) [127][960/1879] lr: 1.0000e-03 eta: 1 day, 5:11:51 time: 0.4362 data_time: 0.0216 memory: 17087 grad_norm: 6.1510 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8682 loss: 0.8682 2022/08/04 14:20:28 - mmengine - INFO - Epoch(train) [127][980/1879] lr: 1.0000e-03 eta: 1 day, 5:11:43 time: 0.4572 data_time: 0.0161 memory: 17087 grad_norm: 6.2351 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9723 loss: 0.9723 2022/08/04 14:20:36 - mmengine - INFO - Epoch(train) [127][1000/1879] lr: 1.0000e-03 eta: 1 day, 5:11:35 time: 0.4336 data_time: 0.0230 memory: 17087 grad_norm: 6.1171 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8735 loss: 0.8735 2022/08/04 14:20:46 - mmengine - INFO - Epoch(train) [127][1020/1879] lr: 1.0000e-03 eta: 1 day, 5:11:27 time: 0.4639 data_time: 0.0159 memory: 17087 grad_norm: 6.2491 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9943 loss: 0.9943 2022/08/04 14:20:54 - mmengine - INFO - Epoch(train) [127][1040/1879] lr: 1.0000e-03 eta: 1 day, 5:11:18 time: 0.4360 data_time: 0.0207 memory: 17087 grad_norm: 6.1979 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8795 loss: 0.8795 2022/08/04 14:21:03 - mmengine - INFO - Epoch(train) [127][1060/1879] lr: 1.0000e-03 eta: 1 day, 5:11:09 time: 0.4361 data_time: 0.0151 memory: 17087 grad_norm: 6.0812 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1426 loss: 1.1426 2022/08/04 14:21:12 - mmengine - INFO - Epoch(train) [127][1080/1879] lr: 1.0000e-03 eta: 1 day, 5:11:01 time: 0.4327 data_time: 0.0167 memory: 17087 grad_norm: 6.4493 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9389 loss: 0.9389 2022/08/04 14:21:20 - mmengine - INFO - Epoch(train) [127][1100/1879] lr: 1.0000e-03 eta: 1 day, 5:10:52 time: 0.4263 data_time: 0.0157 memory: 17087 grad_norm: 6.2397 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9305 loss: 0.9305 2022/08/04 14:21:29 - mmengine - INFO - Epoch(train) [127][1120/1879] lr: 1.0000e-03 eta: 1 day, 5:10:43 time: 0.4299 data_time: 0.0164 memory: 17087 grad_norm: 6.4563 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0575 loss: 1.0575 2022/08/04 14:21:38 - mmengine - INFO - Epoch(train) [127][1140/1879] lr: 1.0000e-03 eta: 1 day, 5:10:35 time: 0.4447 data_time: 0.0164 memory: 17087 grad_norm: 6.2560 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9407 loss: 0.9407 2022/08/04 14:21:47 - mmengine - INFO - Epoch(train) [127][1160/1879] lr: 1.0000e-03 eta: 1 day, 5:10:26 time: 0.4304 data_time: 0.0165 memory: 17087 grad_norm: 6.2670 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1309 loss: 1.1309 2022/08/04 14:21:55 - mmengine - INFO - Epoch(train) [127][1180/1879] lr: 1.0000e-03 eta: 1 day, 5:10:18 time: 0.4440 data_time: 0.0163 memory: 17087 grad_norm: 5.9962 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7998 loss: 0.7998 2022/08/04 14:22:04 - mmengine - INFO - Epoch(train) [127][1200/1879] lr: 1.0000e-03 eta: 1 day, 5:10:09 time: 0.4288 data_time: 0.0164 memory: 17087 grad_norm: 6.2683 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1161 loss: 1.1161 2022/08/04 14:22:13 - mmengine - INFO - Epoch(train) [127][1220/1879] lr: 1.0000e-03 eta: 1 day, 5:10:01 time: 0.4553 data_time: 0.0152 memory: 17087 grad_norm: 6.1480 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0588 loss: 1.0588 2022/08/04 14:22:22 - mmengine - INFO - Epoch(train) [127][1240/1879] lr: 1.0000e-03 eta: 1 day, 5:09:52 time: 0.4304 data_time: 0.0175 memory: 17087 grad_norm: 6.1244 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9197 loss: 0.9197 2022/08/04 14:22:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 14:22:30 - mmengine - INFO - Epoch(train) [127][1260/1879] lr: 1.0000e-03 eta: 1 day, 5:09:44 time: 0.4265 data_time: 0.0133 memory: 17087 grad_norm: 6.1450 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8748 loss: 0.8748 2022/08/04 14:22:39 - mmengine - INFO - Epoch(train) [127][1280/1879] lr: 1.0000e-03 eta: 1 day, 5:09:35 time: 0.4407 data_time: 0.0210 memory: 17087 grad_norm: 6.3062 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0266 loss: 1.0266 2022/08/04 14:22:48 - mmengine - INFO - Epoch(train) [127][1300/1879] lr: 1.0000e-03 eta: 1 day, 5:09:27 time: 0.4441 data_time: 0.0166 memory: 17087 grad_norm: 6.1473 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9980 loss: 0.9980 2022/08/04 14:22:57 - mmengine - INFO - Epoch(train) [127][1320/1879] lr: 1.0000e-03 eta: 1 day, 5:09:18 time: 0.4356 data_time: 0.0176 memory: 17087 grad_norm: 6.0095 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8784 loss: 0.8784 2022/08/04 14:23:05 - mmengine - INFO - Epoch(train) [127][1340/1879] lr: 1.0000e-03 eta: 1 day, 5:09:09 time: 0.4266 data_time: 0.0155 memory: 17087 grad_norm: 6.2098 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 0.9360 loss: 0.9360 2022/08/04 14:23:15 - mmengine - INFO - Epoch(train) [127][1360/1879] lr: 1.0000e-03 eta: 1 day, 5:09:02 time: 0.4700 data_time: 0.0187 memory: 17087 grad_norm: 6.3441 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9666 loss: 0.9666 2022/08/04 14:23:24 - mmengine - INFO - Epoch(train) [127][1380/1879] lr: 1.0000e-03 eta: 1 day, 5:08:53 time: 0.4489 data_time: 0.0148 memory: 17087 grad_norm: 6.4104 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9306 loss: 0.9306 2022/08/04 14:23:32 - mmengine - INFO - Epoch(train) [127][1400/1879] lr: 1.0000e-03 eta: 1 day, 5:08:45 time: 0.4332 data_time: 0.0155 memory: 17087 grad_norm: 6.0798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0499 loss: 1.0499 2022/08/04 14:23:41 - mmengine - INFO - Epoch(train) [127][1420/1879] lr: 1.0000e-03 eta: 1 day, 5:08:36 time: 0.4304 data_time: 0.0172 memory: 17087 grad_norm: 6.1981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0276 loss: 1.0276 2022/08/04 14:23:50 - mmengine - INFO - Epoch(train) [127][1440/1879] lr: 1.0000e-03 eta: 1 day, 5:08:27 time: 0.4328 data_time: 0.0175 memory: 17087 grad_norm: 6.2172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0831 loss: 1.0831 2022/08/04 14:23:58 - mmengine - INFO - Epoch(train) [127][1460/1879] lr: 1.0000e-03 eta: 1 day, 5:08:19 time: 0.4316 data_time: 0.0151 memory: 17087 grad_norm: 6.0572 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9113 loss: 0.9113 2022/08/04 14:24:07 - mmengine - INFO - Epoch(train) [127][1480/1879] lr: 1.0000e-03 eta: 1 day, 5:08:10 time: 0.4458 data_time: 0.0157 memory: 17087 grad_norm: 6.2818 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0096 loss: 1.0096 2022/08/04 14:24:16 - mmengine - INFO - Epoch(train) [127][1500/1879] lr: 1.0000e-03 eta: 1 day, 5:08:02 time: 0.4312 data_time: 0.0146 memory: 17087 grad_norm: 6.3069 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0302 loss: 1.0302 2022/08/04 14:24:25 - mmengine - INFO - Epoch(train) [127][1520/1879] lr: 1.0000e-03 eta: 1 day, 5:07:54 time: 0.4628 data_time: 0.0175 memory: 17087 grad_norm: 6.3144 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.2324 loss: 1.2324 2022/08/04 14:24:34 - mmengine - INFO - Epoch(train) [127][1540/1879] lr: 1.0000e-03 eta: 1 day, 5:07:45 time: 0.4334 data_time: 0.0189 memory: 17087 grad_norm: 5.9351 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7841 loss: 0.7841 2022/08/04 14:24:43 - mmengine - INFO - Epoch(train) [127][1560/1879] lr: 1.0000e-03 eta: 1 day, 5:07:37 time: 0.4351 data_time: 0.0206 memory: 17087 grad_norm: 6.3322 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8799 loss: 0.8799 2022/08/04 14:24:51 - mmengine - INFO - Epoch(train) [127][1580/1879] lr: 1.0000e-03 eta: 1 day, 5:07:28 time: 0.4276 data_time: 0.0160 memory: 17087 grad_norm: 6.3750 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0252 loss: 1.0252 2022/08/04 14:25:00 - mmengine - INFO - Epoch(train) [127][1600/1879] lr: 1.0000e-03 eta: 1 day, 5:07:19 time: 0.4330 data_time: 0.0178 memory: 17087 grad_norm: 6.1747 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0213 loss: 1.0213 2022/08/04 14:25:09 - mmengine - INFO - Epoch(train) [127][1620/1879] lr: 1.0000e-03 eta: 1 day, 5:07:11 time: 0.4546 data_time: 0.0152 memory: 17087 grad_norm: 6.3493 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9361 loss: 0.9361 2022/08/04 14:25:18 - mmengine - INFO - Epoch(train) [127][1640/1879] lr: 1.0000e-03 eta: 1 day, 5:07:02 time: 0.4381 data_time: 0.0213 memory: 17087 grad_norm: 6.1815 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7656 loss: 0.7656 2022/08/04 14:25:27 - mmengine - INFO - Epoch(train) [127][1660/1879] lr: 1.0000e-03 eta: 1 day, 5:06:54 time: 0.4617 data_time: 0.0168 memory: 17087 grad_norm: 6.0873 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9642 loss: 0.9642 2022/08/04 14:25:36 - mmengine - INFO - Epoch(train) [127][1680/1879] lr: 1.0000e-03 eta: 1 day, 5:06:46 time: 0.4327 data_time: 0.0204 memory: 17087 grad_norm: 6.3645 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0021 loss: 1.0021 2022/08/04 14:25:45 - mmengine - INFO - Epoch(train) [127][1700/1879] lr: 1.0000e-03 eta: 1 day, 5:06:38 time: 0.4615 data_time: 0.0172 memory: 17087 grad_norm: 6.2616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0951 loss: 1.0951 2022/08/04 14:25:54 - mmengine - INFO - Epoch(train) [127][1720/1879] lr: 1.0000e-03 eta: 1 day, 5:06:29 time: 0.4357 data_time: 0.0215 memory: 17087 grad_norm: 6.0464 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9340 loss: 0.9340 2022/08/04 14:26:02 - mmengine - INFO - Epoch(train) [127][1740/1879] lr: 1.0000e-03 eta: 1 day, 5:06:20 time: 0.4278 data_time: 0.0146 memory: 17087 grad_norm: 6.1494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0224 loss: 1.0224 2022/08/04 14:26:11 - mmengine - INFO - Epoch(train) [127][1760/1879] lr: 1.0000e-03 eta: 1 day, 5:06:12 time: 0.4308 data_time: 0.0168 memory: 17087 grad_norm: 6.2940 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8725 loss: 0.8725 2022/08/04 14:26:19 - mmengine - INFO - Epoch(train) [127][1780/1879] lr: 1.0000e-03 eta: 1 day, 5:06:03 time: 0.4307 data_time: 0.0152 memory: 17087 grad_norm: 6.2538 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1921 loss: 1.1921 2022/08/04 14:26:28 - mmengine - INFO - Epoch(train) [127][1800/1879] lr: 1.0000e-03 eta: 1 day, 5:05:55 time: 0.4367 data_time: 0.0191 memory: 17087 grad_norm: 6.0780 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7949 loss: 0.7949 2022/08/04 14:26:37 - mmengine - INFO - Epoch(train) [127][1820/1879] lr: 1.0000e-03 eta: 1 day, 5:05:46 time: 0.4300 data_time: 0.0141 memory: 17087 grad_norm: 5.9762 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9857 loss: 0.9857 2022/08/04 14:26:46 - mmengine - INFO - Epoch(train) [127][1840/1879] lr: 1.0000e-03 eta: 1 day, 5:05:38 time: 0.4510 data_time: 0.0179 memory: 17087 grad_norm: 6.2807 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8606 loss: 0.8606 2022/08/04 14:26:54 - mmengine - INFO - Epoch(train) [127][1860/1879] lr: 1.0000e-03 eta: 1 day, 5:05:29 time: 0.4291 data_time: 0.0154 memory: 17087 grad_norm: 6.2011 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0025 loss: 1.0025 2022/08/04 14:27:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 14:27:02 - mmengine - INFO - Epoch(train) [127][1879/1879] lr: 1.0000e-03 eta: 1 day, 5:05:29 time: 0.4128 data_time: 0.0153 memory: 17087 grad_norm: 6.3060 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9456 loss: 0.9456 2022/08/04 14:27:14 - mmengine - INFO - Epoch(train) [128][20/1879] lr: 1.0000e-03 eta: 1 day, 5:05:06 time: 0.5611 data_time: 0.1254 memory: 17087 grad_norm: 5.9818 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0535 loss: 1.0535 2022/08/04 14:27:22 - mmengine - INFO - Epoch(train) [128][40/1879] lr: 1.0000e-03 eta: 1 day, 5:04:58 time: 0.4364 data_time: 0.0177 memory: 17087 grad_norm: 6.0745 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0078 loss: 1.0078 2022/08/04 14:27:31 - mmengine - INFO - Epoch(train) [128][60/1879] lr: 1.0000e-03 eta: 1 day, 5:04:49 time: 0.4365 data_time: 0.0137 memory: 17087 grad_norm: 6.3164 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9997 loss: 0.9997 2022/08/04 14:27:40 - mmengine - INFO - Epoch(train) [128][80/1879] lr: 1.0000e-03 eta: 1 day, 5:04:41 time: 0.4514 data_time: 0.0329 memory: 17087 grad_norm: 6.2851 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8386 loss: 0.8386 2022/08/04 14:27:49 - mmengine - INFO - Epoch(train) [128][100/1879] lr: 1.0000e-03 eta: 1 day, 5:04:32 time: 0.4278 data_time: 0.0136 memory: 17087 grad_norm: 6.2676 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0131 loss: 1.0131 2022/08/04 14:27:58 - mmengine - INFO - Epoch(train) [128][120/1879] lr: 1.0000e-03 eta: 1 day, 5:04:24 time: 0.4623 data_time: 0.0179 memory: 17087 grad_norm: 6.2225 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0232 loss: 1.0232 2022/08/04 14:28:07 - mmengine - INFO - Epoch(train) [128][140/1879] lr: 1.0000e-03 eta: 1 day, 5:04:16 time: 0.4289 data_time: 0.0161 memory: 17087 grad_norm: 6.1915 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0213 loss: 1.0213 2022/08/04 14:28:16 - mmengine - INFO - Epoch(train) [128][160/1879] lr: 1.0000e-03 eta: 1 day, 5:04:08 time: 0.4718 data_time: 0.0185 memory: 17087 grad_norm: 6.1490 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8656 loss: 0.8656 2022/08/04 14:28:25 - mmengine - INFO - Epoch(train) [128][180/1879] lr: 1.0000e-03 eta: 1 day, 5:03:59 time: 0.4289 data_time: 0.0154 memory: 17087 grad_norm: 6.1999 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9539 loss: 0.9539 2022/08/04 14:28:33 - mmengine - INFO - Epoch(train) [128][200/1879] lr: 1.0000e-03 eta: 1 day, 5:03:51 time: 0.4394 data_time: 0.0171 memory: 17087 grad_norm: 6.0954 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0418 loss: 1.0418 2022/08/04 14:28:42 - mmengine - INFO - Epoch(train) [128][220/1879] lr: 1.0000e-03 eta: 1 day, 5:03:42 time: 0.4272 data_time: 0.0166 memory: 17087 grad_norm: 6.2278 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8891 loss: 0.8891 2022/08/04 14:28:51 - mmengine - INFO - Epoch(train) [128][240/1879] lr: 1.0000e-03 eta: 1 day, 5:03:33 time: 0.4355 data_time: 0.0170 memory: 17087 grad_norm: 6.1632 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9285 loss: 0.9285 2022/08/04 14:28:59 - mmengine - INFO - Epoch(train) [128][260/1879] lr: 1.0000e-03 eta: 1 day, 5:03:24 time: 0.4269 data_time: 0.0158 memory: 17087 grad_norm: 5.9956 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0203 loss: 1.0203 2022/08/04 14:29:08 - mmengine - INFO - Epoch(train) [128][280/1879] lr: 1.0000e-03 eta: 1 day, 5:03:16 time: 0.4502 data_time: 0.0166 memory: 17087 grad_norm: 6.2301 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0316 loss: 1.0316 2022/08/04 14:29:17 - mmengine - INFO - Epoch(train) [128][300/1879] lr: 1.0000e-03 eta: 1 day, 5:03:07 time: 0.4266 data_time: 0.0144 memory: 17087 grad_norm: 6.5509 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9310 loss: 0.9310 2022/08/04 14:29:26 - mmengine - INFO - Epoch(train) [128][320/1879] lr: 1.0000e-03 eta: 1 day, 5:02:59 time: 0.4381 data_time: 0.0153 memory: 17087 grad_norm: 6.0734 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0139 loss: 1.0139 2022/08/04 14:29:34 - mmengine - INFO - Epoch(train) [128][340/1879] lr: 1.0000e-03 eta: 1 day, 5:02:50 time: 0.4320 data_time: 0.0136 memory: 17087 grad_norm: 6.2171 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9910 loss: 0.9910 2022/08/04 14:29:43 - mmengine - INFO - Epoch(train) [128][360/1879] lr: 1.0000e-03 eta: 1 day, 5:02:42 time: 0.4363 data_time: 0.0170 memory: 17087 grad_norm: 6.2545 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8538 loss: 0.8538 2022/08/04 14:29:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 14:29:52 - mmengine - INFO - Epoch(train) [128][380/1879] lr: 1.0000e-03 eta: 1 day, 5:02:33 time: 0.4285 data_time: 0.0129 memory: 17087 grad_norm: 6.2167 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8053 loss: 0.8053 2022/08/04 14:30:00 - mmengine - INFO - Epoch(train) [128][400/1879] lr: 1.0000e-03 eta: 1 day, 5:02:24 time: 0.4324 data_time: 0.0201 memory: 17087 grad_norm: 6.1186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9730 loss: 0.9730 2022/08/04 14:30:14 - mmengine - INFO - Epoch(train) [128][420/1879] lr: 1.0000e-03 eta: 1 day, 5:02:21 time: 0.7044 data_time: 0.0310 memory: 17087 grad_norm: 6.0529 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8869 loss: 0.8869 2022/08/04 14:30:24 - mmengine - INFO - Epoch(train) [128][440/1879] lr: 1.0000e-03 eta: 1 day, 5:02:13 time: 0.4606 data_time: 0.0199 memory: 17087 grad_norm: 6.2239 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8725 loss: 0.8725 2022/08/04 14:30:32 - mmengine - INFO - Epoch(train) [128][460/1879] lr: 1.0000e-03 eta: 1 day, 5:02:04 time: 0.4271 data_time: 0.0146 memory: 17087 grad_norm: 6.3530 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8742 loss: 0.8742 2022/08/04 14:30:41 - mmengine - INFO - Epoch(train) [128][480/1879] lr: 1.0000e-03 eta: 1 day, 5:01:56 time: 0.4288 data_time: 0.0171 memory: 17087 grad_norm: 6.2950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1201 loss: 1.1201 2022/08/04 14:30:49 - mmengine - INFO - Epoch(train) [128][500/1879] lr: 1.0000e-03 eta: 1 day, 5:01:47 time: 0.4265 data_time: 0.0123 memory: 17087 grad_norm: 6.1236 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9269 loss: 0.9269 2022/08/04 14:30:58 - mmengine - INFO - Epoch(train) [128][520/1879] lr: 1.0000e-03 eta: 1 day, 5:01:39 time: 0.4473 data_time: 0.0170 memory: 17087 grad_norm: 6.3948 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0266 loss: 1.0266 2022/08/04 14:31:07 - mmengine - INFO - Epoch(train) [128][540/1879] lr: 1.0000e-03 eta: 1 day, 5:01:30 time: 0.4279 data_time: 0.0156 memory: 17087 grad_norm: 6.2032 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8613 loss: 0.8613 2022/08/04 14:31:16 - mmengine - INFO - Epoch(train) [128][560/1879] lr: 1.0000e-03 eta: 1 day, 5:01:22 time: 0.4405 data_time: 0.0173 memory: 17087 grad_norm: 6.2460 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9613 loss: 0.9613 2022/08/04 14:31:24 - mmengine - INFO - Epoch(train) [128][580/1879] lr: 1.0000e-03 eta: 1 day, 5:01:13 time: 0.4293 data_time: 0.0145 memory: 17087 grad_norm: 6.0306 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.8730 loss: 0.8730 2022/08/04 14:31:33 - mmengine - INFO - Epoch(train) [128][600/1879] lr: 1.0000e-03 eta: 1 day, 5:01:04 time: 0.4305 data_time: 0.0161 memory: 17087 grad_norm: 6.2280 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9015 loss: 0.9015 2022/08/04 14:31:41 - mmengine - INFO - Epoch(train) [128][620/1879] lr: 1.0000e-03 eta: 1 day, 5:00:55 time: 0.4259 data_time: 0.0140 memory: 17087 grad_norm: 6.2091 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8769 loss: 0.8769 2022/08/04 14:31:51 - mmengine - INFO - Epoch(train) [128][640/1879] lr: 1.0000e-03 eta: 1 day, 5:00:47 time: 0.4641 data_time: 0.0164 memory: 17087 grad_norm: 6.2851 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0608 loss: 1.0608 2022/08/04 14:31:59 - mmengine - INFO - Epoch(train) [128][660/1879] lr: 1.0000e-03 eta: 1 day, 5:00:39 time: 0.4268 data_time: 0.0140 memory: 17087 grad_norm: 6.1852 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9613 loss: 0.9613 2022/08/04 14:32:08 - mmengine - INFO - Epoch(train) [128][680/1879] lr: 1.0000e-03 eta: 1 day, 5:00:31 time: 0.4581 data_time: 0.0224 memory: 17087 grad_norm: 6.1761 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8356 loss: 0.8356 2022/08/04 14:32:17 - mmengine - INFO - Epoch(train) [128][700/1879] lr: 1.0000e-03 eta: 1 day, 5:00:22 time: 0.4320 data_time: 0.0162 memory: 17087 grad_norm: 6.1840 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9893 loss: 0.9893 2022/08/04 14:32:26 - mmengine - INFO - Epoch(train) [128][720/1879] lr: 1.0000e-03 eta: 1 day, 5:00:13 time: 0.4305 data_time: 0.0160 memory: 17087 grad_norm: 6.3262 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0205 loss: 1.0205 2022/08/04 14:32:34 - mmengine - INFO - Epoch(train) [128][740/1879] lr: 1.0000e-03 eta: 1 day, 5:00:04 time: 0.4286 data_time: 0.0133 memory: 17087 grad_norm: 6.1396 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1504 loss: 1.1504 2022/08/04 14:32:43 - mmengine - INFO - Epoch(train) [128][760/1879] lr: 1.0000e-03 eta: 1 day, 4:59:56 time: 0.4294 data_time: 0.0165 memory: 17087 grad_norm: 6.4200 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0700 loss: 1.0700 2022/08/04 14:32:52 - mmengine - INFO - Epoch(train) [128][780/1879] lr: 1.0000e-03 eta: 1 day, 4:59:47 time: 0.4408 data_time: 0.0151 memory: 17087 grad_norm: 6.1740 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9371 loss: 0.9371 2022/08/04 14:33:00 - mmengine - INFO - Epoch(train) [128][800/1879] lr: 1.0000e-03 eta: 1 day, 4:59:39 time: 0.4369 data_time: 0.0219 memory: 17087 grad_norm: 6.2360 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9647 loss: 0.9647 2022/08/04 14:33:09 - mmengine - INFO - Epoch(train) [128][820/1879] lr: 1.0000e-03 eta: 1 day, 4:59:30 time: 0.4285 data_time: 0.0147 memory: 17087 grad_norm: 6.3030 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.1278 loss: 1.1278 2022/08/04 14:33:18 - mmengine - INFO - Epoch(train) [128][840/1879] lr: 1.0000e-03 eta: 1 day, 4:59:22 time: 0.4529 data_time: 0.0175 memory: 17087 grad_norm: 6.3205 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0521 loss: 1.0521 2022/08/04 14:33:27 - mmengine - INFO - Epoch(train) [128][860/1879] lr: 1.0000e-03 eta: 1 day, 4:59:13 time: 0.4280 data_time: 0.0150 memory: 17087 grad_norm: 6.2647 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0167 loss: 1.0167 2022/08/04 14:33:36 - mmengine - INFO - Epoch(train) [128][880/1879] lr: 1.0000e-03 eta: 1 day, 4:59:05 time: 0.4635 data_time: 0.0171 memory: 17087 grad_norm: 6.1564 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9320 loss: 0.9320 2022/08/04 14:33:45 - mmengine - INFO - Epoch(train) [128][900/1879] lr: 1.0000e-03 eta: 1 day, 4:58:56 time: 0.4276 data_time: 0.0136 memory: 17087 grad_norm: 5.9863 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9240 loss: 0.9240 2022/08/04 14:33:54 - mmengine - INFO - Epoch(train) [128][920/1879] lr: 1.0000e-03 eta: 1 day, 4:58:48 time: 0.4629 data_time: 0.0163 memory: 17087 grad_norm: 6.2428 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9803 loss: 0.9803 2022/08/04 14:34:02 - mmengine - INFO - Epoch(train) [128][940/1879] lr: 1.0000e-03 eta: 1 day, 4:58:40 time: 0.4311 data_time: 0.0144 memory: 17087 grad_norm: 6.3640 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9853 loss: 0.9853 2022/08/04 14:34:11 - mmengine - INFO - Epoch(train) [128][960/1879] lr: 1.0000e-03 eta: 1 day, 4:58:31 time: 0.4279 data_time: 0.0158 memory: 17087 grad_norm: 6.1487 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9786 loss: 0.9786 2022/08/04 14:34:20 - mmengine - INFO - Epoch(train) [128][980/1879] lr: 1.0000e-03 eta: 1 day, 4:58:23 time: 0.4677 data_time: 0.0142 memory: 17087 grad_norm: 6.3240 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9507 loss: 0.9507 2022/08/04 14:34:29 - mmengine - INFO - Epoch(train) [128][1000/1879] lr: 1.0000e-03 eta: 1 day, 4:58:14 time: 0.4291 data_time: 0.0177 memory: 17087 grad_norm: 6.5146 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8983 loss: 0.8983 2022/08/04 14:34:38 - mmengine - INFO - Epoch(train) [128][1020/1879] lr: 1.0000e-03 eta: 1 day, 4:58:06 time: 0.4319 data_time: 0.0153 memory: 17087 grad_norm: 6.3452 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9235 loss: 0.9235 2022/08/04 14:34:46 - mmengine - INFO - Epoch(train) [128][1040/1879] lr: 1.0000e-03 eta: 1 day, 4:57:57 time: 0.4280 data_time: 0.0156 memory: 17087 grad_norm: 6.3375 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9427 loss: 0.9427 2022/08/04 14:34:55 - mmengine - INFO - Epoch(train) [128][1060/1879] lr: 1.0000e-03 eta: 1 day, 4:57:49 time: 0.4409 data_time: 0.0172 memory: 17087 grad_norm: 6.2738 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9280 loss: 0.9280 2022/08/04 14:35:04 - mmengine - INFO - Epoch(train) [128][1080/1879] lr: 1.0000e-03 eta: 1 day, 4:57:40 time: 0.4295 data_time: 0.0172 memory: 17087 grad_norm: 6.0362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8172 loss: 0.8172 2022/08/04 14:35:12 - mmengine - INFO - Epoch(train) [128][1100/1879] lr: 1.0000e-03 eta: 1 day, 4:57:31 time: 0.4263 data_time: 0.0139 memory: 17087 grad_norm: 6.4491 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0630 loss: 1.0630 2022/08/04 14:35:21 - mmengine - INFO - Epoch(train) [128][1120/1879] lr: 1.0000e-03 eta: 1 day, 4:57:23 time: 0.4481 data_time: 0.0158 memory: 17087 grad_norm: 6.3880 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8423 loss: 0.8423 2022/08/04 14:35:30 - mmengine - INFO - Epoch(train) [128][1140/1879] lr: 1.0000e-03 eta: 1 day, 4:57:14 time: 0.4272 data_time: 0.0151 memory: 17087 grad_norm: 6.3732 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0696 loss: 1.0696 2022/08/04 14:35:38 - mmengine - INFO - Epoch(train) [128][1160/1879] lr: 1.0000e-03 eta: 1 day, 4:57:05 time: 0.4329 data_time: 0.0170 memory: 17087 grad_norm: 6.1806 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9463 loss: 0.9463 2022/08/04 14:35:47 - mmengine - INFO - Epoch(train) [128][1180/1879] lr: 1.0000e-03 eta: 1 day, 4:56:57 time: 0.4274 data_time: 0.0141 memory: 17087 grad_norm: 6.1895 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9497 loss: 0.9497 2022/08/04 14:35:56 - mmengine - INFO - Epoch(train) [128][1200/1879] lr: 1.0000e-03 eta: 1 day, 4:56:48 time: 0.4426 data_time: 0.0193 memory: 17087 grad_norm: 5.9554 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8660 loss: 0.8660 2022/08/04 14:36:04 - mmengine - INFO - Epoch(train) [128][1220/1879] lr: 1.0000e-03 eta: 1 day, 4:56:40 time: 0.4276 data_time: 0.0153 memory: 17087 grad_norm: 6.1637 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8313 loss: 0.8313 2022/08/04 14:36:13 - mmengine - INFO - Epoch(train) [128][1240/1879] lr: 1.0000e-03 eta: 1 day, 4:56:31 time: 0.4286 data_time: 0.0154 memory: 17087 grad_norm: 6.1691 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8788 loss: 0.8788 2022/08/04 14:36:22 - mmengine - INFO - Epoch(train) [128][1260/1879] lr: 1.0000e-03 eta: 1 day, 4:56:22 time: 0.4381 data_time: 0.0160 memory: 17087 grad_norm: 6.4016 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8834 loss: 0.8834 2022/08/04 14:36:30 - mmengine - INFO - Epoch(train) [128][1280/1879] lr: 1.0000e-03 eta: 1 day, 4:56:14 time: 0.4295 data_time: 0.0161 memory: 17087 grad_norm: 6.1008 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9683 loss: 0.9683 2022/08/04 14:36:40 - mmengine - INFO - Epoch(train) [128][1300/1879] lr: 1.0000e-03 eta: 1 day, 4:56:05 time: 0.4581 data_time: 0.0153 memory: 17087 grad_norm: 6.1730 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9854 loss: 0.9854 2022/08/04 14:36:48 - mmengine - INFO - Epoch(train) [128][1320/1879] lr: 1.0000e-03 eta: 1 day, 4:55:57 time: 0.4302 data_time: 0.0167 memory: 17087 grad_norm: 6.3041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0241 loss: 1.0241 2022/08/04 14:36:57 - mmengine - INFO - Epoch(train) [128][1340/1879] lr: 1.0000e-03 eta: 1 day, 4:55:48 time: 0.4437 data_time: 0.0198 memory: 17087 grad_norm: 6.1004 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9133 loss: 0.9133 2022/08/04 14:37:06 - mmengine - INFO - Epoch(train) [128][1360/1879] lr: 1.0000e-03 eta: 1 day, 4:55:40 time: 0.4297 data_time: 0.0176 memory: 17087 grad_norm: 6.3292 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9841 loss: 0.9841 2022/08/04 14:37:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 14:37:14 - mmengine - INFO - Epoch(train) [128][1380/1879] lr: 1.0000e-03 eta: 1 day, 4:55:31 time: 0.4290 data_time: 0.0138 memory: 17087 grad_norm: 6.0054 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0473 loss: 1.0473 2022/08/04 14:37:23 - mmengine - INFO - Epoch(train) [128][1400/1879] lr: 1.0000e-03 eta: 1 day, 4:55:22 time: 0.4272 data_time: 0.0166 memory: 17087 grad_norm: 6.1235 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9404 loss: 0.9404 2022/08/04 14:37:31 - mmengine - INFO - Epoch(train) [128][1420/1879] lr: 1.0000e-03 eta: 1 day, 4:55:14 time: 0.4290 data_time: 0.0168 memory: 17087 grad_norm: 6.2753 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9862 loss: 0.9862 2022/08/04 14:37:40 - mmengine - INFO - Epoch(train) [128][1440/1879] lr: 1.0000e-03 eta: 1 day, 4:55:05 time: 0.4358 data_time: 0.0144 memory: 17087 grad_norm: 6.1629 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9989 loss: 0.9989 2022/08/04 14:37:49 - mmengine - INFO - Epoch(train) [128][1460/1879] lr: 1.0000e-03 eta: 1 day, 4:54:56 time: 0.4264 data_time: 0.0145 memory: 17087 grad_norm: 6.2564 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0246 loss: 1.0246 2022/08/04 14:37:57 - mmengine - INFO - Epoch(train) [128][1480/1879] lr: 1.0000e-03 eta: 1 day, 4:54:48 time: 0.4310 data_time: 0.0173 memory: 17087 grad_norm: 6.2236 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8716 loss: 0.8716 2022/08/04 14:38:06 - mmengine - INFO - Epoch(train) [128][1500/1879] lr: 1.0000e-03 eta: 1 day, 4:54:39 time: 0.4251 data_time: 0.0134 memory: 17087 grad_norm: 6.3483 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9434 loss: 0.9434 2022/08/04 14:38:15 - mmengine - INFO - Epoch(train) [128][1520/1879] lr: 1.0000e-03 eta: 1 day, 4:54:31 time: 0.4604 data_time: 0.0176 memory: 17087 grad_norm: 6.2161 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8465 loss: 0.8465 2022/08/04 14:38:24 - mmengine - INFO - Epoch(train) [128][1540/1879] lr: 1.0000e-03 eta: 1 day, 4:54:22 time: 0.4268 data_time: 0.0150 memory: 17087 grad_norm: 6.3328 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0514 loss: 1.0514 2022/08/04 14:38:32 - mmengine - INFO - Epoch(train) [128][1560/1879] lr: 1.0000e-03 eta: 1 day, 4:54:13 time: 0.4285 data_time: 0.0157 memory: 17087 grad_norm: 6.2390 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9710 loss: 0.9710 2022/08/04 14:38:41 - mmengine - INFO - Epoch(train) [128][1580/1879] lr: 1.0000e-03 eta: 1 day, 4:54:05 time: 0.4287 data_time: 0.0135 memory: 17087 grad_norm: 6.3037 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0228 loss: 1.0228 2022/08/04 14:38:49 - mmengine - INFO - Epoch(train) [128][1600/1879] lr: 1.0000e-03 eta: 1 day, 4:53:56 time: 0.4301 data_time: 0.0165 memory: 17087 grad_norm: 6.2424 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8873 loss: 0.8873 2022/08/04 14:38:58 - mmengine - INFO - Epoch(train) [128][1620/1879] lr: 1.0000e-03 eta: 1 day, 4:53:47 time: 0.4325 data_time: 0.0159 memory: 17087 grad_norm: 6.4364 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1233 loss: 1.1233 2022/08/04 14:39:07 - mmengine - INFO - Epoch(train) [128][1640/1879] lr: 1.0000e-03 eta: 1 day, 4:53:39 time: 0.4305 data_time: 0.0170 memory: 17087 grad_norm: 6.2643 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9321 loss: 0.9321 2022/08/04 14:39:15 - mmengine - INFO - Epoch(train) [128][1660/1879] lr: 1.0000e-03 eta: 1 day, 4:53:30 time: 0.4394 data_time: 0.0149 memory: 17087 grad_norm: 6.2992 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0152 loss: 1.0152 2022/08/04 14:39:24 - mmengine - INFO - Epoch(train) [128][1680/1879] lr: 1.0000e-03 eta: 1 day, 4:53:21 time: 0.4285 data_time: 0.0163 memory: 17087 grad_norm: 6.1792 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0671 loss: 1.0671 2022/08/04 14:39:33 - mmengine - INFO - Epoch(train) [128][1700/1879] lr: 1.0000e-03 eta: 1 day, 4:53:13 time: 0.4263 data_time: 0.0132 memory: 17087 grad_norm: 6.1442 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0114 loss: 1.0114 2022/08/04 14:39:42 - mmengine - INFO - Epoch(train) [128][1720/1879] lr: 1.0000e-03 eta: 1 day, 4:53:05 time: 0.4653 data_time: 0.0180 memory: 17087 grad_norm: 6.2258 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8967 loss: 0.8967 2022/08/04 14:39:50 - mmengine - INFO - Epoch(train) [128][1740/1879] lr: 1.0000e-03 eta: 1 day, 4:52:56 time: 0.4274 data_time: 0.0143 memory: 17087 grad_norm: 5.9842 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8974 loss: 0.8974 2022/08/04 14:39:59 - mmengine - INFO - Epoch(train) [128][1760/1879] lr: 1.0000e-03 eta: 1 day, 4:52:47 time: 0.4354 data_time: 0.0175 memory: 17087 grad_norm: 6.3572 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0171 loss: 1.0171 2022/08/04 14:40:08 - mmengine - INFO - Epoch(train) [128][1780/1879] lr: 1.0000e-03 eta: 1 day, 4:52:39 time: 0.4286 data_time: 0.0144 memory: 17087 grad_norm: 6.2674 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8936 loss: 0.8936 2022/08/04 14:40:17 - mmengine - INFO - Epoch(train) [128][1800/1879] lr: 1.0000e-03 eta: 1 day, 4:52:30 time: 0.4572 data_time: 0.0182 memory: 17087 grad_norm: 6.3020 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9238 loss: 0.9238 2022/08/04 14:40:26 - mmengine - INFO - Epoch(train) [128][1820/1879] lr: 1.0000e-03 eta: 1 day, 4:52:22 time: 0.4290 data_time: 0.0144 memory: 17087 grad_norm: 6.4831 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0786 loss: 1.0786 2022/08/04 14:40:34 - mmengine - INFO - Epoch(train) [128][1840/1879] lr: 1.0000e-03 eta: 1 day, 4:52:13 time: 0.4346 data_time: 0.0166 memory: 17087 grad_norm: 6.4441 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8989 loss: 0.8989 2022/08/04 14:40:43 - mmengine - INFO - Epoch(train) [128][1860/1879] lr: 1.0000e-03 eta: 1 day, 4:52:04 time: 0.4259 data_time: 0.0130 memory: 17087 grad_norm: 6.1891 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8758 loss: 0.8758 2022/08/04 14:40:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 14:40:51 - mmengine - INFO - Epoch(train) [128][1879/1879] lr: 1.0000e-03 eta: 1 day, 4:52:04 time: 0.4507 data_time: 0.0160 memory: 17087 grad_norm: 6.2862 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9326 loss: 0.9326 2022/08/04 14:40:51 - mmengine - INFO - Saving checkpoint at 128 epochs 2022/08/04 14:41:06 - mmengine - INFO - Epoch(train) [129][20/1879] lr: 1.0000e-03 eta: 1 day, 4:51:42 time: 0.5460 data_time: 0.1138 memory: 17087 grad_norm: 6.1962 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0546 loss: 1.0546 2022/08/04 14:41:15 - mmengine - INFO - Epoch(train) [129][40/1879] lr: 1.0000e-03 eta: 1 day, 4:51:33 time: 0.4341 data_time: 0.0215 memory: 17087 grad_norm: 6.1502 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0325 loss: 1.0325 2022/08/04 14:41:24 - mmengine - INFO - Epoch(train) [129][60/1879] lr: 1.0000e-03 eta: 1 day, 4:51:24 time: 0.4331 data_time: 0.0137 memory: 17087 grad_norm: 6.2781 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7913 loss: 0.7913 2022/08/04 14:41:32 - mmengine - INFO - Epoch(train) [129][80/1879] lr: 1.0000e-03 eta: 1 day, 4:51:16 time: 0.4416 data_time: 0.0199 memory: 17087 grad_norm: 5.9763 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7821 loss: 0.7821 2022/08/04 14:41:41 - mmengine - INFO - Epoch(train) [129][100/1879] lr: 1.0000e-03 eta: 1 day, 4:51:07 time: 0.4307 data_time: 0.0134 memory: 17087 grad_norm: 6.1699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9895 loss: 0.9895 2022/08/04 14:41:50 - mmengine - INFO - Epoch(train) [129][120/1879] lr: 1.0000e-03 eta: 1 day, 4:50:59 time: 0.4391 data_time: 0.0173 memory: 17087 grad_norm: 6.3414 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9265 loss: 0.9265 2022/08/04 14:41:58 - mmengine - INFO - Epoch(train) [129][140/1879] lr: 1.0000e-03 eta: 1 day, 4:50:50 time: 0.4283 data_time: 0.0156 memory: 17087 grad_norm: 6.0912 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9668 loss: 0.9668 2022/08/04 14:42:07 - mmengine - INFO - Epoch(train) [129][160/1879] lr: 1.0000e-03 eta: 1 day, 4:50:41 time: 0.4326 data_time: 0.0167 memory: 17087 grad_norm: 6.2617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8812 loss: 0.8812 2022/08/04 14:42:16 - mmengine - INFO - Epoch(train) [129][180/1879] lr: 1.0000e-03 eta: 1 day, 4:50:33 time: 0.4278 data_time: 0.0148 memory: 17087 grad_norm: 6.3129 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9304 loss: 0.9304 2022/08/04 14:42:24 - mmengine - INFO - Epoch(train) [129][200/1879] lr: 1.0000e-03 eta: 1 day, 4:50:24 time: 0.4318 data_time: 0.0185 memory: 17087 grad_norm: 6.2912 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9864 loss: 0.9864 2022/08/04 14:42:33 - mmengine - INFO - Epoch(train) [129][220/1879] lr: 1.0000e-03 eta: 1 day, 4:50:15 time: 0.4270 data_time: 0.0144 memory: 17087 grad_norm: 6.3564 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8775 loss: 0.8775 2022/08/04 14:42:42 - mmengine - INFO - Epoch(train) [129][240/1879] lr: 1.0000e-03 eta: 1 day, 4:50:07 time: 0.4288 data_time: 0.0156 memory: 17087 grad_norm: 6.2771 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9822 loss: 0.9822 2022/08/04 14:42:51 - mmengine - INFO - Epoch(train) [129][260/1879] lr: 1.0000e-03 eta: 1 day, 4:49:58 time: 0.4510 data_time: 0.0156 memory: 17087 grad_norm: 6.2235 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8893 loss: 0.8893 2022/08/04 14:42:59 - mmengine - INFO - Epoch(train) [129][280/1879] lr: 1.0000e-03 eta: 1 day, 4:49:50 time: 0.4347 data_time: 0.0208 memory: 17087 grad_norm: 6.1230 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7855 loss: 0.7855 2022/08/04 14:43:09 - mmengine - INFO - Epoch(train) [129][300/1879] lr: 1.0000e-03 eta: 1 day, 4:49:42 time: 0.4658 data_time: 0.0129 memory: 17087 grad_norm: 6.0956 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9280 loss: 0.9280 2022/08/04 14:43:17 - mmengine - INFO - Epoch(train) [129][320/1879] lr: 1.0000e-03 eta: 1 day, 4:49:33 time: 0.4284 data_time: 0.0159 memory: 17087 grad_norm: 6.1648 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9160 loss: 0.9160 2022/08/04 14:43:26 - mmengine - INFO - Epoch(train) [129][340/1879] lr: 1.0000e-03 eta: 1 day, 4:49:25 time: 0.4441 data_time: 0.0151 memory: 17087 grad_norm: 6.3551 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9049 loss: 0.9049 2022/08/04 14:43:35 - mmengine - INFO - Epoch(train) [129][360/1879] lr: 1.0000e-03 eta: 1 day, 4:49:16 time: 0.4268 data_time: 0.0146 memory: 17087 grad_norm: 6.1121 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0080 loss: 1.0080 2022/08/04 14:43:43 - mmengine - INFO - Epoch(train) [129][380/1879] lr: 1.0000e-03 eta: 1 day, 4:49:07 time: 0.4264 data_time: 0.0148 memory: 17087 grad_norm: 6.0376 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9246 loss: 0.9246 2022/08/04 14:43:52 - mmengine - INFO - Epoch(train) [129][400/1879] lr: 1.0000e-03 eta: 1 day, 4:48:59 time: 0.4411 data_time: 0.0172 memory: 17087 grad_norm: 6.0243 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9580 loss: 0.9580 2022/08/04 14:44:01 - mmengine - INFO - Epoch(train) [129][420/1879] lr: 1.0000e-03 eta: 1 day, 4:48:50 time: 0.4270 data_time: 0.0144 memory: 17087 grad_norm: 6.1532 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9975 loss: 0.9975 2022/08/04 14:44:09 - mmengine - INFO - Epoch(train) [129][440/1879] lr: 1.0000e-03 eta: 1 day, 4:48:41 time: 0.4356 data_time: 0.0181 memory: 17087 grad_norm: 6.6479 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9425 loss: 0.9425 2022/08/04 14:44:18 - mmengine - INFO - Epoch(train) [129][460/1879] lr: 1.0000e-03 eta: 1 day, 4:48:33 time: 0.4274 data_time: 0.0147 memory: 17087 grad_norm: 6.1503 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0490 loss: 1.0490 2022/08/04 14:44:27 - mmengine - INFO - Epoch(train) [129][480/1879] lr: 1.0000e-03 eta: 1 day, 4:48:24 time: 0.4440 data_time: 0.0182 memory: 17087 grad_norm: 6.6168 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0556 loss: 1.0556 2022/08/04 14:44:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 14:44:35 - mmengine - INFO - Epoch(train) [129][500/1879] lr: 1.0000e-03 eta: 1 day, 4:48:16 time: 0.4299 data_time: 0.0141 memory: 17087 grad_norm: 6.3598 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0701 loss: 1.0701 2022/08/04 14:44:44 - mmengine - INFO - Epoch(train) [129][520/1879] lr: 1.0000e-03 eta: 1 day, 4:48:07 time: 0.4314 data_time: 0.0155 memory: 17087 grad_norm: 6.1067 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9428 loss: 0.9428 2022/08/04 14:44:53 - mmengine - INFO - Epoch(train) [129][540/1879] lr: 1.0000e-03 eta: 1 day, 4:47:58 time: 0.4282 data_time: 0.0129 memory: 17087 grad_norm: 6.2990 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9611 loss: 0.9611 2022/08/04 14:45:01 - mmengine - INFO - Epoch(train) [129][560/1879] lr: 1.0000e-03 eta: 1 day, 4:47:50 time: 0.4311 data_time: 0.0177 memory: 17087 grad_norm: 6.1102 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0898 loss: 1.0898 2022/08/04 14:45:10 - mmengine - INFO - Epoch(train) [129][580/1879] lr: 1.0000e-03 eta: 1 day, 4:47:41 time: 0.4283 data_time: 0.0146 memory: 17087 grad_norm: 6.3029 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0888 loss: 1.0888 2022/08/04 14:45:18 - mmengine - INFO - Epoch(train) [129][600/1879] lr: 1.0000e-03 eta: 1 day, 4:47:32 time: 0.4298 data_time: 0.0170 memory: 17087 grad_norm: 6.3808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0592 loss: 1.0592 2022/08/04 14:45:27 - mmengine - INFO - Epoch(train) [129][620/1879] lr: 1.0000e-03 eta: 1 day, 4:47:23 time: 0.4296 data_time: 0.0151 memory: 17087 grad_norm: 6.1693 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9003 loss: 0.9003 2022/08/04 14:45:36 - mmengine - INFO - Epoch(train) [129][640/1879] lr: 1.0000e-03 eta: 1 day, 4:47:15 time: 0.4325 data_time: 0.0166 memory: 17087 grad_norm: 6.1685 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0610 loss: 1.0610 2022/08/04 14:45:44 - mmengine - INFO - Epoch(train) [129][660/1879] lr: 1.0000e-03 eta: 1 day, 4:47:06 time: 0.4287 data_time: 0.0139 memory: 17087 grad_norm: 6.3937 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0378 loss: 1.0378 2022/08/04 14:45:53 - mmengine - INFO - Epoch(train) [129][680/1879] lr: 1.0000e-03 eta: 1 day, 4:46:58 time: 0.4380 data_time: 0.0170 memory: 17087 grad_norm: 6.2455 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0593 loss: 1.0593 2022/08/04 14:46:02 - mmengine - INFO - Epoch(train) [129][700/1879] lr: 1.0000e-03 eta: 1 day, 4:46:49 time: 0.4302 data_time: 0.0143 memory: 17087 grad_norm: 6.1235 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9988 loss: 0.9988 2022/08/04 14:46:10 - mmengine - INFO - Epoch(train) [129][720/1879] lr: 1.0000e-03 eta: 1 day, 4:46:40 time: 0.4362 data_time: 0.0167 memory: 17087 grad_norm: 6.1635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9233 loss: 0.9233 2022/08/04 14:46:19 - mmengine - INFO - Epoch(train) [129][740/1879] lr: 1.0000e-03 eta: 1 day, 4:46:32 time: 0.4358 data_time: 0.0153 memory: 17087 grad_norm: 6.2624 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9450 loss: 0.9450 2022/08/04 14:46:28 - mmengine - INFO - Epoch(train) [129][760/1879] lr: 1.0000e-03 eta: 1 day, 4:46:23 time: 0.4314 data_time: 0.0169 memory: 17087 grad_norm: 6.2102 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8823 loss: 0.8823 2022/08/04 14:46:36 - mmengine - INFO - Epoch(train) [129][780/1879] lr: 1.0000e-03 eta: 1 day, 4:46:15 time: 0.4319 data_time: 0.0146 memory: 17087 grad_norm: 6.3365 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0114 loss: 1.0114 2022/08/04 14:46:45 - mmengine - INFO - Epoch(train) [129][800/1879] lr: 1.0000e-03 eta: 1 day, 4:46:06 time: 0.4314 data_time: 0.0198 memory: 17087 grad_norm: 6.4609 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9025 loss: 0.9025 2022/08/04 14:46:54 - mmengine - INFO - Epoch(train) [129][820/1879] lr: 1.0000e-03 eta: 1 day, 4:45:57 time: 0.4256 data_time: 0.0155 memory: 17087 grad_norm: 6.4060 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.1746 loss: 1.1746 2022/08/04 14:47:02 - mmengine - INFO - Epoch(train) [129][840/1879] lr: 1.0000e-03 eta: 1 day, 4:45:49 time: 0.4399 data_time: 0.0184 memory: 17087 grad_norm: 6.3004 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0636 loss: 1.0636 2022/08/04 14:47:11 - mmengine - INFO - Epoch(train) [129][860/1879] lr: 1.0000e-03 eta: 1 day, 4:45:40 time: 0.4294 data_time: 0.0176 memory: 17087 grad_norm: 6.3952 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0826 loss: 1.0826 2022/08/04 14:47:20 - mmengine - INFO - Epoch(train) [129][880/1879] lr: 1.0000e-03 eta: 1 day, 4:45:31 time: 0.4300 data_time: 0.0166 memory: 17087 grad_norm: 6.1831 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0083 loss: 1.0083 2022/08/04 14:47:28 - mmengine - INFO - Epoch(train) [129][900/1879] lr: 1.0000e-03 eta: 1 day, 4:45:23 time: 0.4297 data_time: 0.0149 memory: 17087 grad_norm: 6.3603 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9501 loss: 0.9501 2022/08/04 14:47:37 - mmengine - INFO - Epoch(train) [129][920/1879] lr: 1.0000e-03 eta: 1 day, 4:45:14 time: 0.4329 data_time: 0.0177 memory: 17087 grad_norm: 6.2003 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9218 loss: 0.9218 2022/08/04 14:47:46 - mmengine - INFO - Epoch(train) [129][940/1879] lr: 1.0000e-03 eta: 1 day, 4:45:05 time: 0.4410 data_time: 0.0159 memory: 17087 grad_norm: 6.4734 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 1.0474 loss: 1.0474 2022/08/04 14:47:54 - mmengine - INFO - Epoch(train) [129][960/1879] lr: 1.0000e-03 eta: 1 day, 4:44:57 time: 0.4270 data_time: 0.0156 memory: 17087 grad_norm: 6.2104 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9255 loss: 0.9255 2022/08/04 14:48:03 - mmengine - INFO - Epoch(train) [129][980/1879] lr: 1.0000e-03 eta: 1 day, 4:44:48 time: 0.4272 data_time: 0.0145 memory: 17087 grad_norm: 6.1793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9811 loss: 0.9811 2022/08/04 14:48:12 - mmengine - INFO - Epoch(train) [129][1000/1879] lr: 1.0000e-03 eta: 1 day, 4:44:39 time: 0.4375 data_time: 0.0177 memory: 17087 grad_norm: 6.2711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8554 loss: 0.8554 2022/08/04 14:48:20 - mmengine - INFO - Epoch(train) [129][1020/1879] lr: 1.0000e-03 eta: 1 day, 4:44:31 time: 0.4271 data_time: 0.0135 memory: 17087 grad_norm: 6.3603 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0982 loss: 1.0982 2022/08/04 14:48:30 - mmengine - INFO - Epoch(train) [129][1040/1879] lr: 1.0000e-03 eta: 1 day, 4:44:23 time: 0.4786 data_time: 0.0151 memory: 17087 grad_norm: 6.2670 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9218 loss: 0.9218 2022/08/04 14:48:38 - mmengine - INFO - Epoch(train) [129][1060/1879] lr: 1.0000e-03 eta: 1 day, 4:44:14 time: 0.4271 data_time: 0.0147 memory: 17087 grad_norm: 6.3643 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9091 loss: 0.9091 2022/08/04 14:48:47 - mmengine - INFO - Epoch(train) [129][1080/1879] lr: 1.0000e-03 eta: 1 day, 4:44:06 time: 0.4568 data_time: 0.0173 memory: 17087 grad_norm: 6.1295 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8983 loss: 0.8983 2022/08/04 14:48:56 - mmengine - INFO - Epoch(train) [129][1100/1879] lr: 1.0000e-03 eta: 1 day, 4:43:57 time: 0.4277 data_time: 0.0145 memory: 17087 grad_norm: 6.2657 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0544 loss: 1.0544 2022/08/04 14:49:05 - mmengine - INFO - Epoch(train) [129][1120/1879] lr: 1.0000e-03 eta: 1 day, 4:43:49 time: 0.4350 data_time: 0.0172 memory: 17087 grad_norm: 6.3078 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1193 loss: 1.1193 2022/08/04 14:49:13 - mmengine - INFO - Epoch(train) [129][1140/1879] lr: 1.0000e-03 eta: 1 day, 4:43:40 time: 0.4287 data_time: 0.0139 memory: 17087 grad_norm: 6.2039 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9389 loss: 0.9389 2022/08/04 14:49:22 - mmengine - INFO - Epoch(train) [129][1160/1879] lr: 1.0000e-03 eta: 1 day, 4:43:31 time: 0.4284 data_time: 0.0161 memory: 17087 grad_norm: 6.3049 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 0.9206 loss: 0.9206 2022/08/04 14:49:31 - mmengine - INFO - Epoch(train) [129][1180/1879] lr: 1.0000e-03 eta: 1 day, 4:43:23 time: 0.4283 data_time: 0.0133 memory: 17087 grad_norm: 6.0251 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9500 loss: 0.9500 2022/08/04 14:49:39 - mmengine - INFO - Epoch(train) [129][1200/1879] lr: 1.0000e-03 eta: 1 day, 4:43:14 time: 0.4300 data_time: 0.0168 memory: 17087 grad_norm: 6.2686 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9884 loss: 0.9884 2022/08/04 14:49:48 - mmengine - INFO - Epoch(train) [129][1220/1879] lr: 1.0000e-03 eta: 1 day, 4:43:06 time: 0.4443 data_time: 0.0155 memory: 17087 grad_norm: 6.1332 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9312 loss: 0.9312 2022/08/04 14:49:57 - mmengine - INFO - Epoch(train) [129][1240/1879] lr: 1.0000e-03 eta: 1 day, 4:42:57 time: 0.4297 data_time: 0.0191 memory: 17087 grad_norm: 6.0417 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0334 loss: 1.0334 2022/08/04 14:50:05 - mmengine - INFO - Epoch(train) [129][1260/1879] lr: 1.0000e-03 eta: 1 day, 4:42:48 time: 0.4409 data_time: 0.0156 memory: 17087 grad_norm: 6.2921 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8893 loss: 0.8893 2022/08/04 14:50:14 - mmengine - INFO - Epoch(train) [129][1280/1879] lr: 1.0000e-03 eta: 1 day, 4:42:40 time: 0.4290 data_time: 0.0167 memory: 17087 grad_norm: 6.1892 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0738 loss: 1.0738 2022/08/04 14:50:23 - mmengine - INFO - Epoch(train) [129][1300/1879] lr: 1.0000e-03 eta: 1 day, 4:42:31 time: 0.4311 data_time: 0.0138 memory: 17087 grad_norm: 6.0698 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7764 loss: 0.7764 2022/08/04 14:50:32 - mmengine - INFO - Epoch(train) [129][1320/1879] lr: 1.0000e-03 eta: 1 day, 4:42:23 time: 0.4620 data_time: 0.0196 memory: 17087 grad_norm: 6.4400 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1711 loss: 1.1711 2022/08/04 14:50:40 - mmengine - INFO - Epoch(train) [129][1340/1879] lr: 1.0000e-03 eta: 1 day, 4:42:14 time: 0.4266 data_time: 0.0148 memory: 17087 grad_norm: 6.2642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0167 loss: 1.0167 2022/08/04 14:50:49 - mmengine - INFO - Epoch(train) [129][1360/1879] lr: 1.0000e-03 eta: 1 day, 4:42:06 time: 0.4318 data_time: 0.0165 memory: 17087 grad_norm: 5.8889 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9167 loss: 0.9167 2022/08/04 14:50:58 - mmengine - INFO - Epoch(train) [129][1380/1879] lr: 1.0000e-03 eta: 1 day, 4:41:57 time: 0.4278 data_time: 0.0146 memory: 17087 grad_norm: 6.3924 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8714 loss: 0.8714 2022/08/04 14:51:07 - mmengine - INFO - Epoch(train) [129][1400/1879] lr: 1.0000e-03 eta: 1 day, 4:41:48 time: 0.4403 data_time: 0.0184 memory: 17087 grad_norm: 6.3050 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9442 loss: 0.9442 2022/08/04 14:51:15 - mmengine - INFO - Epoch(train) [129][1420/1879] lr: 1.0000e-03 eta: 1 day, 4:41:40 time: 0.4271 data_time: 0.0159 memory: 17087 grad_norm: 6.2732 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9502 loss: 0.9502 2022/08/04 14:51:24 - mmengine - INFO - Epoch(train) [129][1440/1879] lr: 1.0000e-03 eta: 1 day, 4:41:31 time: 0.4300 data_time: 0.0171 memory: 17087 grad_norm: 6.5422 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8887 loss: 0.8887 2022/08/04 14:51:33 - mmengine - INFO - Epoch(train) [129][1460/1879] lr: 1.0000e-03 eta: 1 day, 4:41:23 time: 0.4631 data_time: 0.0150 memory: 17087 grad_norm: 6.3033 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9834 loss: 0.9834 2022/08/04 14:51:42 - mmengine - INFO - Epoch(train) [129][1480/1879] lr: 1.0000e-03 eta: 1 day, 4:41:14 time: 0.4290 data_time: 0.0165 memory: 17087 grad_norm: 6.1490 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8943 loss: 0.8943 2022/08/04 14:51:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 14:51:51 - mmengine - INFO - Epoch(train) [129][1500/1879] lr: 1.0000e-03 eta: 1 day, 4:41:06 time: 0.4691 data_time: 0.0155 memory: 17087 grad_norm: 6.5086 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9035 loss: 0.9035 2022/08/04 14:52:00 - mmengine - INFO - Epoch(train) [129][1520/1879] lr: 1.0000e-03 eta: 1 day, 4:40:58 time: 0.4287 data_time: 0.0155 memory: 17087 grad_norm: 6.2960 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0657 loss: 1.0657 2022/08/04 14:52:08 - mmengine - INFO - Epoch(train) [129][1540/1879] lr: 1.0000e-03 eta: 1 day, 4:40:49 time: 0.4292 data_time: 0.0158 memory: 17087 grad_norm: 6.3021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9700 loss: 0.9700 2022/08/04 14:52:17 - mmengine - INFO - Epoch(train) [129][1560/1879] lr: 1.0000e-03 eta: 1 day, 4:40:40 time: 0.4298 data_time: 0.0168 memory: 17087 grad_norm: 6.2293 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0625 loss: 1.0625 2022/08/04 14:52:25 - mmengine - INFO - Epoch(train) [129][1580/1879] lr: 1.0000e-03 eta: 1 day, 4:40:32 time: 0.4337 data_time: 0.0166 memory: 17087 grad_norm: 6.3429 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9374 loss: 0.9374 2022/08/04 14:52:34 - mmengine - INFO - Epoch(train) [129][1600/1879] lr: 1.0000e-03 eta: 1 day, 4:40:23 time: 0.4276 data_time: 0.0147 memory: 17087 grad_norm: 6.4253 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9325 loss: 0.9325 2022/08/04 14:52:43 - mmengine - INFO - Epoch(train) [129][1620/1879] lr: 1.0000e-03 eta: 1 day, 4:40:14 time: 0.4287 data_time: 0.0158 memory: 17087 grad_norm: 6.4652 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8650 loss: 0.8650 2022/08/04 14:52:51 - mmengine - INFO - Epoch(train) [129][1640/1879] lr: 1.0000e-03 eta: 1 day, 4:40:06 time: 0.4382 data_time: 0.0155 memory: 17087 grad_norm: 6.6310 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9333 loss: 0.9333 2022/08/04 14:53:00 - mmengine - INFO - Epoch(train) [129][1660/1879] lr: 1.0000e-03 eta: 1 day, 4:39:57 time: 0.4277 data_time: 0.0167 memory: 17087 grad_norm: 6.2590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8993 loss: 0.8993 2022/08/04 14:53:09 - mmengine - INFO - Epoch(train) [129][1680/1879] lr: 1.0000e-03 eta: 1 day, 4:39:49 time: 0.4703 data_time: 0.0184 memory: 17087 grad_norm: 6.5181 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9363 loss: 0.9363 2022/08/04 14:53:18 - mmengine - INFO - Epoch(train) [129][1700/1879] lr: 1.0000e-03 eta: 1 day, 4:39:40 time: 0.4330 data_time: 0.0201 memory: 17087 grad_norm: 6.0773 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8351 loss: 0.8351 2022/08/04 14:53:27 - mmengine - INFO - Epoch(train) [129][1720/1879] lr: 1.0000e-03 eta: 1 day, 4:39:33 time: 0.4694 data_time: 0.0183 memory: 17087 grad_norm: 6.2129 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0297 loss: 1.0297 2022/08/04 14:53:36 - mmengine - INFO - Epoch(train) [129][1740/1879] lr: 1.0000e-03 eta: 1 day, 4:39:24 time: 0.4325 data_time: 0.0171 memory: 17087 grad_norm: 6.3856 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1257 loss: 1.1257 2022/08/04 14:53:45 - mmengine - INFO - Epoch(train) [129][1760/1879] lr: 1.0000e-03 eta: 1 day, 4:39:15 time: 0.4305 data_time: 0.0175 memory: 17087 grad_norm: 6.2886 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1116 loss: 1.1116 2022/08/04 14:53:54 - mmengine - INFO - Epoch(train) [129][1780/1879] lr: 1.0000e-03 eta: 1 day, 4:39:07 time: 0.4389 data_time: 0.0139 memory: 17087 grad_norm: 6.3647 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9685 loss: 0.9685 2022/08/04 14:54:02 - mmengine - INFO - Epoch(train) [129][1800/1879] lr: 1.0000e-03 eta: 1 day, 4:38:58 time: 0.4306 data_time: 0.0177 memory: 17087 grad_norm: 6.0392 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8962 loss: 0.8962 2022/08/04 14:54:11 - mmengine - INFO - Epoch(train) [129][1820/1879] lr: 1.0000e-03 eta: 1 day, 4:38:49 time: 0.4285 data_time: 0.0147 memory: 17087 grad_norm: 6.3627 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9542 loss: 0.9542 2022/08/04 14:54:20 - mmengine - INFO - Epoch(train) [129][1840/1879] lr: 1.0000e-03 eta: 1 day, 4:38:41 time: 0.4384 data_time: 0.0163 memory: 17087 grad_norm: 6.5523 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0132 loss: 1.0132 2022/08/04 14:54:28 - mmengine - INFO - Epoch(train) [129][1860/1879] lr: 1.0000e-03 eta: 1 day, 4:38:32 time: 0.4276 data_time: 0.0150 memory: 17087 grad_norm: 6.2906 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9826 loss: 0.9826 2022/08/04 14:54:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 14:54:36 - mmengine - INFO - Epoch(train) [129][1879/1879] lr: 1.0000e-03 eta: 1 day, 4:38:32 time: 0.4375 data_time: 0.0163 memory: 17087 grad_norm: 6.4847 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8949 loss: 0.8949 2022/08/04 14:54:48 - mmengine - INFO - Epoch(train) [130][20/1879] lr: 1.0000e-03 eta: 1 day, 4:38:10 time: 0.5667 data_time: 0.1250 memory: 17087 grad_norm: 6.0645 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1050 loss: 1.1050 2022/08/04 14:54:57 - mmengine - INFO - Epoch(train) [130][40/1879] lr: 1.0000e-03 eta: 1 day, 4:38:02 time: 0.4553 data_time: 0.0166 memory: 17087 grad_norm: 6.2581 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8242 loss: 0.8242 2022/08/04 14:55:06 - mmengine - INFO - Epoch(train) [130][60/1879] lr: 1.0000e-03 eta: 1 day, 4:37:53 time: 0.4328 data_time: 0.0207 memory: 17087 grad_norm: 6.3042 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0373 loss: 1.0373 2022/08/04 14:55:14 - mmengine - INFO - Epoch(train) [130][80/1879] lr: 1.0000e-03 eta: 1 day, 4:37:44 time: 0.4281 data_time: 0.0170 memory: 17087 grad_norm: 6.2036 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9087 loss: 0.9087 2022/08/04 14:55:23 - mmengine - INFO - Epoch(train) [130][100/1879] lr: 1.0000e-03 eta: 1 day, 4:37:36 time: 0.4369 data_time: 0.0157 memory: 17087 grad_norm: 6.2126 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9679 loss: 0.9679 2022/08/04 14:55:32 - mmengine - INFO - Epoch(train) [130][120/1879] lr: 1.0000e-03 eta: 1 day, 4:37:27 time: 0.4441 data_time: 0.0187 memory: 17087 grad_norm: 6.1231 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8711 loss: 0.8711 2022/08/04 14:55:41 - mmengine - INFO - Epoch(train) [130][140/1879] lr: 1.0000e-03 eta: 1 day, 4:37:19 time: 0.4567 data_time: 0.0186 memory: 17087 grad_norm: 6.6282 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1168 loss: 1.1168 2022/08/04 14:55:50 - mmengine - INFO - Epoch(train) [130][160/1879] lr: 1.0000e-03 eta: 1 day, 4:37:11 time: 0.4341 data_time: 0.0172 memory: 17087 grad_norm: 6.4073 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8670 loss: 0.8670 2022/08/04 14:55:58 - mmengine - INFO - Epoch(train) [130][180/1879] lr: 1.0000e-03 eta: 1 day, 4:37:02 time: 0.4323 data_time: 0.0162 memory: 17087 grad_norm: 6.2045 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1636 loss: 1.1636 2022/08/04 14:56:07 - mmengine - INFO - Epoch(train) [130][200/1879] lr: 1.0000e-03 eta: 1 day, 4:36:53 time: 0.4290 data_time: 0.0183 memory: 17087 grad_norm: 6.3204 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0267 loss: 1.0267 2022/08/04 14:56:16 - mmengine - INFO - Epoch(train) [130][220/1879] lr: 1.0000e-03 eta: 1 day, 4:36:45 time: 0.4354 data_time: 0.0153 memory: 17087 grad_norm: 6.2186 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0292 loss: 1.0292 2022/08/04 14:56:24 - mmengine - INFO - Epoch(train) [130][240/1879] lr: 1.0000e-03 eta: 1 day, 4:36:36 time: 0.4294 data_time: 0.0158 memory: 17087 grad_norm: 6.4224 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1433 loss: 1.1433 2022/08/04 14:56:33 - mmengine - INFO - Epoch(train) [130][260/1879] lr: 1.0000e-03 eta: 1 day, 4:36:27 time: 0.4260 data_time: 0.0129 memory: 17087 grad_norm: 6.0461 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7547 loss: 0.7547 2022/08/04 14:56:42 - mmengine - INFO - Epoch(train) [130][280/1879] lr: 1.0000e-03 eta: 1 day, 4:36:19 time: 0.4532 data_time: 0.0179 memory: 17087 grad_norm: 6.2238 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9527 loss: 0.9527 2022/08/04 14:56:50 - mmengine - INFO - Epoch(train) [130][300/1879] lr: 1.0000e-03 eta: 1 day, 4:36:10 time: 0.4264 data_time: 0.0138 memory: 17087 grad_norm: 6.3876 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0240 loss: 1.0240 2022/08/04 14:56:59 - mmengine - INFO - Epoch(train) [130][320/1879] lr: 1.0000e-03 eta: 1 day, 4:36:02 time: 0.4313 data_time: 0.0175 memory: 17087 grad_norm: 6.1736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9711 loss: 0.9711 2022/08/04 14:57:08 - mmengine - INFO - Epoch(train) [130][340/1879] lr: 1.0000e-03 eta: 1 day, 4:35:53 time: 0.4340 data_time: 0.0128 memory: 17087 grad_norm: 6.0876 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7569 loss: 0.7569 2022/08/04 14:57:17 - mmengine - INFO - Epoch(train) [130][360/1879] lr: 1.0000e-03 eta: 1 day, 4:35:45 time: 0.4686 data_time: 0.0182 memory: 17087 grad_norm: 6.5281 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9208 loss: 0.9208 2022/08/04 14:57:26 - mmengine - INFO - Epoch(train) [130][380/1879] lr: 1.0000e-03 eta: 1 day, 4:35:36 time: 0.4268 data_time: 0.0141 memory: 17087 grad_norm: 6.4272 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0758 loss: 1.0758 2022/08/04 14:57:34 - mmengine - INFO - Epoch(train) [130][400/1879] lr: 1.0000e-03 eta: 1 day, 4:35:28 time: 0.4282 data_time: 0.0152 memory: 17087 grad_norm: 6.3398 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9421 loss: 0.9421 2022/08/04 14:57:44 - mmengine - INFO - Epoch(train) [130][420/1879] lr: 1.0000e-03 eta: 1 day, 4:35:20 time: 0.4659 data_time: 0.0178 memory: 17087 grad_norm: 6.2347 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8209 loss: 0.8209 2022/08/04 14:57:52 - mmengine - INFO - Epoch(train) [130][440/1879] lr: 1.0000e-03 eta: 1 day, 4:35:11 time: 0.4371 data_time: 0.0177 memory: 17087 grad_norm: 6.4494 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9247 loss: 0.9247 2022/08/04 14:58:01 - mmengine - INFO - Epoch(train) [130][460/1879] lr: 1.0000e-03 eta: 1 day, 4:35:02 time: 0.4285 data_time: 0.0135 memory: 17087 grad_norm: 6.2502 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1180 loss: 1.1180 2022/08/04 14:58:10 - mmengine - INFO - Epoch(train) [130][480/1879] lr: 1.0000e-03 eta: 1 day, 4:34:54 time: 0.4312 data_time: 0.0185 memory: 17087 grad_norm: 6.1635 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8758 loss: 0.8758 2022/08/04 14:58:18 - mmengine - INFO - Epoch(train) [130][500/1879] lr: 1.0000e-03 eta: 1 day, 4:34:45 time: 0.4338 data_time: 0.0152 memory: 17087 grad_norm: 6.2651 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9184 loss: 0.9184 2022/08/04 14:58:27 - mmengine - INFO - Epoch(train) [130][520/1879] lr: 1.0000e-03 eta: 1 day, 4:34:36 time: 0.4316 data_time: 0.0174 memory: 17087 grad_norm: 6.4562 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9751 loss: 0.9751 2022/08/04 14:58:36 - mmengine - INFO - Epoch(train) [130][540/1879] lr: 1.0000e-03 eta: 1 day, 4:34:28 time: 0.4362 data_time: 0.0136 memory: 17087 grad_norm: 6.1726 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8756 loss: 0.8756 2022/08/04 14:58:45 - mmengine - INFO - Epoch(train) [130][560/1879] lr: 1.0000e-03 eta: 1 day, 4:34:20 time: 0.4489 data_time: 0.0154 memory: 17087 grad_norm: 6.5360 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9226 loss: 0.9226 2022/08/04 14:58:53 - mmengine - INFO - Epoch(train) [130][580/1879] lr: 1.0000e-03 eta: 1 day, 4:34:11 time: 0.4270 data_time: 0.0132 memory: 17087 grad_norm: 6.0699 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0563 loss: 1.0563 2022/08/04 14:59:02 - mmengine - INFO - Epoch(train) [130][600/1879] lr: 1.0000e-03 eta: 1 day, 4:34:02 time: 0.4301 data_time: 0.0167 memory: 17087 grad_norm: 6.1160 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0387 loss: 1.0387 2022/08/04 14:59:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 14:59:11 - mmengine - INFO - Epoch(train) [130][620/1879] lr: 1.0000e-03 eta: 1 day, 4:33:54 time: 0.4329 data_time: 0.0139 memory: 17087 grad_norm: 6.1521 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9945 loss: 0.9945 2022/08/04 14:59:20 - mmengine - INFO - Epoch(train) [130][640/1879] lr: 1.0000e-03 eta: 1 day, 4:33:46 time: 0.4687 data_time: 0.0166 memory: 17087 grad_norm: 6.2274 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0905 loss: 1.0905 2022/08/04 14:59:29 - mmengine - INFO - Epoch(train) [130][660/1879] lr: 1.0000e-03 eta: 1 day, 4:33:37 time: 0.4293 data_time: 0.0168 memory: 17087 grad_norm: 6.3020 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0589 loss: 1.0589 2022/08/04 14:59:38 - mmengine - INFO - Epoch(train) [130][680/1879] lr: 1.0000e-03 eta: 1 day, 4:33:29 time: 0.4563 data_time: 0.0178 memory: 17087 grad_norm: 6.2053 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9900 loss: 0.9900 2022/08/04 14:59:46 - mmengine - INFO - Epoch(train) [130][700/1879] lr: 1.0000e-03 eta: 1 day, 4:33:20 time: 0.4383 data_time: 0.0166 memory: 17087 grad_norm: 6.4136 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0034 loss: 1.0034 2022/08/04 14:59:55 - mmengine - INFO - Epoch(train) [130][720/1879] lr: 1.0000e-03 eta: 1 day, 4:33:12 time: 0.4279 data_time: 0.0161 memory: 17087 grad_norm: 6.0847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0927 loss: 1.0927 2022/08/04 15:00:04 - mmengine - INFO - Epoch(train) [130][740/1879] lr: 1.0000e-03 eta: 1 day, 4:33:03 time: 0.4282 data_time: 0.0161 memory: 17087 grad_norm: 6.3318 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0782 loss: 1.0782 2022/08/04 15:00:13 - mmengine - INFO - Epoch(train) [130][760/1879] lr: 1.0000e-03 eta: 1 day, 4:32:55 time: 0.4681 data_time: 0.0164 memory: 17087 grad_norm: 6.2885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8779 loss: 0.8779 2022/08/04 15:00:22 - mmengine - INFO - Epoch(train) [130][780/1879] lr: 1.0000e-03 eta: 1 day, 4:32:46 time: 0.4314 data_time: 0.0199 memory: 17087 grad_norm: 6.2312 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9759 loss: 0.9759 2022/08/04 15:00:31 - mmengine - INFO - Epoch(train) [130][800/1879] lr: 1.0000e-03 eta: 1 day, 4:32:38 time: 0.4675 data_time: 0.0155 memory: 17087 grad_norm: 6.3049 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9110 loss: 0.9110 2022/08/04 15:00:40 - mmengine - INFO - Epoch(train) [130][820/1879] lr: 1.0000e-03 eta: 1 day, 4:32:30 time: 0.4357 data_time: 0.0214 memory: 17087 grad_norm: 6.3680 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1060 loss: 1.1060 2022/08/04 15:00:48 - mmengine - INFO - Epoch(train) [130][840/1879] lr: 1.0000e-03 eta: 1 day, 4:32:21 time: 0.4363 data_time: 0.0188 memory: 17087 grad_norm: 6.3999 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0285 loss: 1.0285 2022/08/04 15:00:57 - mmengine - INFO - Epoch(train) [130][860/1879] lr: 1.0000e-03 eta: 1 day, 4:32:12 time: 0.4305 data_time: 0.0176 memory: 17087 grad_norm: 6.1124 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9815 loss: 0.9815 2022/08/04 15:01:06 - mmengine - INFO - Epoch(train) [130][880/1879] lr: 1.0000e-03 eta: 1 day, 4:32:04 time: 0.4304 data_time: 0.0152 memory: 17087 grad_norm: 6.3420 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9857 loss: 0.9857 2022/08/04 15:01:14 - mmengine - INFO - Epoch(train) [130][900/1879] lr: 1.0000e-03 eta: 1 day, 4:31:55 time: 0.4296 data_time: 0.0164 memory: 17087 grad_norm: 6.3279 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9444 loss: 0.9444 2022/08/04 15:01:23 - mmengine - INFO - Epoch(train) [130][920/1879] lr: 1.0000e-03 eta: 1 day, 4:31:47 time: 0.4484 data_time: 0.0178 memory: 17087 grad_norm: 6.1323 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9527 loss: 0.9527 2022/08/04 15:01:32 - mmengine - INFO - Epoch(train) [130][940/1879] lr: 1.0000e-03 eta: 1 day, 4:31:38 time: 0.4285 data_time: 0.0168 memory: 17087 grad_norm: 6.6910 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9589 loss: 0.9589 2022/08/04 15:01:41 - mmengine - INFO - Epoch(train) [130][960/1879] lr: 1.0000e-03 eta: 1 day, 4:31:30 time: 0.4582 data_time: 0.0173 memory: 17087 grad_norm: 6.3101 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8883 loss: 0.8883 2022/08/04 15:01:50 - mmengine - INFO - Epoch(train) [130][980/1879] lr: 1.0000e-03 eta: 1 day, 4:31:21 time: 0.4336 data_time: 0.0204 memory: 17087 grad_norm: 6.4175 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8819 loss: 0.8819 2022/08/04 15:01:58 - mmengine - INFO - Epoch(train) [130][1000/1879] lr: 1.0000e-03 eta: 1 day, 4:31:13 time: 0.4321 data_time: 0.0160 memory: 17087 grad_norm: 6.1369 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9945 loss: 0.9945 2022/08/04 15:02:07 - mmengine - INFO - Epoch(train) [130][1020/1879] lr: 1.0000e-03 eta: 1 day, 4:31:04 time: 0.4272 data_time: 0.0144 memory: 17087 grad_norm: 6.0859 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8399 loss: 0.8399 2022/08/04 15:02:16 - mmengine - INFO - Epoch(train) [130][1040/1879] lr: 1.0000e-03 eta: 1 day, 4:30:55 time: 0.4330 data_time: 0.0177 memory: 17087 grad_norm: 6.3146 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9166 loss: 0.9166 2022/08/04 15:02:24 - mmengine - INFO - Epoch(train) [130][1060/1879] lr: 1.0000e-03 eta: 1 day, 4:30:47 time: 0.4424 data_time: 0.0146 memory: 17087 grad_norm: 6.1956 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9951 loss: 0.9951 2022/08/04 15:02:33 - mmengine - INFO - Epoch(train) [130][1080/1879] lr: 1.0000e-03 eta: 1 day, 4:30:38 time: 0.4302 data_time: 0.0175 memory: 17087 grad_norm: 6.4028 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9624 loss: 0.9624 2022/08/04 15:02:42 - mmengine - INFO - Epoch(train) [130][1100/1879] lr: 1.0000e-03 eta: 1 day, 4:30:30 time: 0.4409 data_time: 0.0171 memory: 17087 grad_norm: 6.3798 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9028 loss: 0.9028 2022/08/04 15:02:51 - mmengine - INFO - Epoch(train) [130][1120/1879] lr: 1.0000e-03 eta: 1 day, 4:30:22 time: 0.4587 data_time: 0.0161 memory: 17087 grad_norm: 6.2469 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9477 loss: 0.9477 2022/08/04 15:03:00 - mmengine - INFO - Epoch(train) [130][1140/1879] lr: 1.0000e-03 eta: 1 day, 4:30:13 time: 0.4362 data_time: 0.0158 memory: 17087 grad_norm: 6.1079 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8829 loss: 0.8829 2022/08/04 15:03:08 - mmengine - INFO - Epoch(train) [130][1160/1879] lr: 1.0000e-03 eta: 1 day, 4:30:04 time: 0.4273 data_time: 0.0178 memory: 17087 grad_norm: 6.1601 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8269 loss: 0.8269 2022/08/04 15:03:17 - mmengine - INFO - Epoch(train) [130][1180/1879] lr: 1.0000e-03 eta: 1 day, 4:29:56 time: 0.4519 data_time: 0.0159 memory: 17087 grad_norm: 6.2257 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9342 loss: 0.9342 2022/08/04 15:03:26 - mmengine - INFO - Epoch(train) [130][1200/1879] lr: 1.0000e-03 eta: 1 day, 4:29:47 time: 0.4285 data_time: 0.0171 memory: 17087 grad_norm: 6.3147 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9746 loss: 0.9746 2022/08/04 15:03:35 - mmengine - INFO - Epoch(train) [130][1220/1879] lr: 1.0000e-03 eta: 1 day, 4:29:39 time: 0.4296 data_time: 0.0179 memory: 17087 grad_norm: 6.5616 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0880 loss: 1.0880 2022/08/04 15:03:44 - mmengine - INFO - Epoch(train) [130][1240/1879] lr: 1.0000e-03 eta: 1 day, 4:29:31 time: 0.4558 data_time: 0.0168 memory: 17087 grad_norm: 6.3760 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0114 loss: 1.0114 2022/08/04 15:03:52 - mmengine - INFO - Epoch(train) [130][1260/1879] lr: 1.0000e-03 eta: 1 day, 4:29:22 time: 0.4317 data_time: 0.0174 memory: 17087 grad_norm: 6.2606 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0475 loss: 1.0475 2022/08/04 15:04:01 - mmengine - INFO - Epoch(train) [130][1280/1879] lr: 1.0000e-03 eta: 1 day, 4:29:13 time: 0.4423 data_time: 0.0192 memory: 17087 grad_norm: 6.5036 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9754 loss: 0.9754 2022/08/04 15:04:10 - mmengine - INFO - Epoch(train) [130][1300/1879] lr: 1.0000e-03 eta: 1 day, 4:29:05 time: 0.4284 data_time: 0.0197 memory: 17087 grad_norm: 6.3326 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1796 loss: 1.1796 2022/08/04 15:04:21 - mmengine - INFO - Epoch(train) [130][1320/1879] lr: 1.0000e-03 eta: 1 day, 4:28:59 time: 0.5716 data_time: 0.0507 memory: 17087 grad_norm: 6.5390 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9556 loss: 0.9556 2022/08/04 15:04:30 - mmengine - INFO - Epoch(train) [130][1340/1879] lr: 1.0000e-03 eta: 1 day, 4:28:50 time: 0.4388 data_time: 0.0173 memory: 17087 grad_norm: 6.2654 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0858 loss: 1.0858 2022/08/04 15:04:39 - mmengine - INFO - Epoch(train) [130][1360/1879] lr: 1.0000e-03 eta: 1 day, 4:28:42 time: 0.4265 data_time: 0.0155 memory: 17087 grad_norm: 6.1949 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8960 loss: 0.8960 2022/08/04 15:04:47 - mmengine - INFO - Epoch(train) [130][1380/1879] lr: 1.0000e-03 eta: 1 day, 4:28:33 time: 0.4352 data_time: 0.0176 memory: 17087 grad_norm: 6.3928 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9310 loss: 0.9310 2022/08/04 15:04:56 - mmengine - INFO - Epoch(train) [130][1400/1879] lr: 1.0000e-03 eta: 1 day, 4:28:24 time: 0.4275 data_time: 0.0136 memory: 17087 grad_norm: 6.0619 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8915 loss: 0.8915 2022/08/04 15:05:05 - mmengine - INFO - Epoch(train) [130][1420/1879] lr: 1.0000e-03 eta: 1 day, 4:28:15 time: 0.4275 data_time: 0.0156 memory: 17087 grad_norm: 6.3751 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8431 loss: 0.8431 2022/08/04 15:05:13 - mmengine - INFO - Epoch(train) [130][1440/1879] lr: 1.0000e-03 eta: 1 day, 4:28:07 time: 0.4383 data_time: 0.0132 memory: 17087 grad_norm: 6.2372 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0575 loss: 1.0575 2022/08/04 15:05:22 - mmengine - INFO - Epoch(train) [130][1460/1879] lr: 1.0000e-03 eta: 1 day, 4:27:58 time: 0.4342 data_time: 0.0211 memory: 17087 grad_norm: 6.4606 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0478 loss: 1.0478 2022/08/04 15:05:31 - mmengine - INFO - Epoch(train) [130][1480/1879] lr: 1.0000e-03 eta: 1 day, 4:27:50 time: 0.4467 data_time: 0.0145 memory: 17087 grad_norm: 6.2339 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8186 loss: 0.8186 2022/08/04 15:05:40 - mmengine - INFO - Epoch(train) [130][1500/1879] lr: 1.0000e-03 eta: 1 day, 4:27:41 time: 0.4286 data_time: 0.0169 memory: 17087 grad_norm: 6.3683 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0991 loss: 1.0991 2022/08/04 15:05:49 - mmengine - INFO - Epoch(train) [130][1520/1879] lr: 1.0000e-03 eta: 1 day, 4:27:33 time: 0.4564 data_time: 0.0167 memory: 17087 grad_norm: 6.3268 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0800 loss: 1.0800 2022/08/04 15:05:57 - mmengine - INFO - Epoch(train) [130][1540/1879] lr: 1.0000e-03 eta: 1 day, 4:27:25 time: 0.4332 data_time: 0.0155 memory: 17087 grad_norm: 6.3658 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1164 loss: 1.1164 2022/08/04 15:06:08 - mmengine - INFO - Epoch(train) [130][1560/1879] lr: 1.0000e-03 eta: 1 day, 4:27:18 time: 0.5543 data_time: 0.0148 memory: 17087 grad_norm: 6.1505 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8521 loss: 0.8521 2022/08/04 15:06:17 - mmengine - INFO - Epoch(train) [130][1580/1879] lr: 1.0000e-03 eta: 1 day, 4:27:10 time: 0.4341 data_time: 0.0235 memory: 17087 grad_norm: 6.2072 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7659 loss: 0.7659 2022/08/04 15:06:26 - mmengine - INFO - Epoch(train) [130][1600/1879] lr: 1.0000e-03 eta: 1 day, 4:27:01 time: 0.4264 data_time: 0.0133 memory: 17087 grad_norm: 6.3595 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0235 loss: 1.0235 2022/08/04 15:06:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 15:06:34 - mmengine - INFO - Epoch(train) [130][1620/1879] lr: 1.0000e-03 eta: 1 day, 4:26:52 time: 0.4320 data_time: 0.0177 memory: 17087 grad_norm: 6.3996 top1_acc: 0.5000 top5_acc: 0.5625 loss_cls: 0.9609 loss: 0.9609 2022/08/04 15:06:43 - mmengine - INFO - Epoch(train) [130][1640/1879] lr: 1.0000e-03 eta: 1 day, 4:26:44 time: 0.4278 data_time: 0.0157 memory: 17087 grad_norm: 6.2377 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0198 loss: 1.0198 2022/08/04 15:06:52 - mmengine - INFO - Epoch(train) [130][1660/1879] lr: 1.0000e-03 eta: 1 day, 4:26:35 time: 0.4402 data_time: 0.0194 memory: 17087 grad_norm: 6.1381 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8634 loss: 0.8634 2022/08/04 15:07:00 - mmengine - INFO - Epoch(train) [130][1680/1879] lr: 1.0000e-03 eta: 1 day, 4:26:26 time: 0.4319 data_time: 0.0140 memory: 17087 grad_norm: 6.5212 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9836 loss: 0.9836 2022/08/04 15:07:11 - mmengine - INFO - Epoch(train) [130][1700/1879] lr: 1.0000e-03 eta: 1 day, 4:26:20 time: 0.5260 data_time: 0.0151 memory: 17087 grad_norm: 6.4829 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9712 loss: 0.9712 2022/08/04 15:07:20 - mmengine - INFO - Epoch(train) [130][1720/1879] lr: 1.0000e-03 eta: 1 day, 4:26:11 time: 0.4278 data_time: 0.0165 memory: 17087 grad_norm: 6.2561 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9733 loss: 0.9733 2022/08/04 15:07:28 - mmengine - INFO - Epoch(train) [130][1740/1879] lr: 1.0000e-03 eta: 1 day, 4:26:02 time: 0.4290 data_time: 0.0136 memory: 17087 grad_norm: 6.3757 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9250 loss: 0.9250 2022/08/04 15:07:37 - mmengine - INFO - Epoch(train) [130][1760/1879] lr: 1.0000e-03 eta: 1 day, 4:25:53 time: 0.4309 data_time: 0.0175 memory: 17087 grad_norm: 6.2859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9666 loss: 0.9666 2022/08/04 15:07:45 - mmengine - INFO - Epoch(train) [130][1780/1879] lr: 1.0000e-03 eta: 1 day, 4:25:45 time: 0.4277 data_time: 0.0156 memory: 17087 grad_norm: 6.2466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9324 loss: 0.9324 2022/08/04 15:07:54 - mmengine - INFO - Epoch(train) [130][1800/1879] lr: 1.0000e-03 eta: 1 day, 4:25:36 time: 0.4314 data_time: 0.0153 memory: 17087 grad_norm: 6.3554 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8770 loss: 0.8770 2022/08/04 15:08:03 - mmengine - INFO - Epoch(train) [130][1820/1879] lr: 1.0000e-03 eta: 1 day, 4:25:27 time: 0.4304 data_time: 0.0157 memory: 17087 grad_norm: 6.3139 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9697 loss: 0.9697 2022/08/04 15:08:11 - mmengine - INFO - Epoch(train) [130][1840/1879] lr: 1.0000e-03 eta: 1 day, 4:25:19 time: 0.4412 data_time: 0.0164 memory: 17087 grad_norm: 6.3839 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9188 loss: 0.9188 2022/08/04 15:08:20 - mmengine - INFO - Epoch(train) [130][1860/1879] lr: 1.0000e-03 eta: 1 day, 4:25:10 time: 0.4305 data_time: 0.0155 memory: 17087 grad_norm: 6.3929 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0262 loss: 1.0262 2022/08/04 15:08:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 15:08:28 - mmengine - INFO - Epoch(train) [130][1879/1879] lr: 1.0000e-03 eta: 1 day, 4:25:10 time: 0.4089 data_time: 0.0152 memory: 17087 grad_norm: 6.4826 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9318 loss: 0.9318 2022/08/04 15:08:35 - mmengine - INFO - Epoch(val) [130][20/155] eta: 0:00:49 time: 0.3654 data_time: 0.1970 memory: 2821 2022/08/04 15:08:41 - mmengine - INFO - Epoch(val) [130][40/155] eta: 0:00:32 time: 0.2795 data_time: 0.1117 memory: 2821 2022/08/04 15:08:47 - mmengine - INFO - Epoch(val) [130][60/155] eta: 0:00:28 time: 0.2954 data_time: 0.1269 memory: 2821 2022/08/04 15:08:52 - mmengine - INFO - Epoch(val) [130][80/155] eta: 0:00:21 time: 0.2916 data_time: 0.1243 memory: 2821 2022/08/04 15:08:59 - mmengine - INFO - Epoch(val) [130][100/155] eta: 0:00:16 time: 0.3034 data_time: 0.1310 memory: 2821 2022/08/04 15:09:03 - mmengine - INFO - Epoch(val) [130][120/155] eta: 0:00:08 time: 0.2333 data_time: 0.0665 memory: 2821 2022/08/04 15:09:10 - mmengine - INFO - Epoch(val) [130][140/155] eta: 0:00:04 time: 0.3261 data_time: 0.1611 memory: 2821 2022/08/04 15:09:15 - mmengine - INFO - Epoch(val) [130][155/155] acc/top1: 0.6951 acc/top5: 0.8829 acc/mean1: 0.6951 2022/08/04 15:09:27 - mmengine - INFO - Epoch(train) [131][20/1879] lr: 1.0000e-03 eta: 1 day, 4:24:48 time: 0.5664 data_time: 0.1214 memory: 17087 grad_norm: 6.4089 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8033 loss: 0.8033 2022/08/04 15:09:38 - mmengine - INFO - Epoch(train) [131][40/1879] lr: 1.0000e-03 eta: 1 day, 4:24:42 time: 0.5572 data_time: 0.0151 memory: 17087 grad_norm: 6.3029 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0111 loss: 1.0111 2022/08/04 15:09:47 - mmengine - INFO - Epoch(train) [131][60/1879] lr: 1.0000e-03 eta: 1 day, 4:24:33 time: 0.4348 data_time: 0.0149 memory: 17087 grad_norm: 6.4829 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9127 loss: 0.9127 2022/08/04 15:09:55 - mmengine - INFO - Epoch(train) [131][80/1879] lr: 1.0000e-03 eta: 1 day, 4:24:25 time: 0.4320 data_time: 0.0188 memory: 17087 grad_norm: 6.4171 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9033 loss: 0.9033 2022/08/04 15:10:04 - mmengine - INFO - Epoch(train) [131][100/1879] lr: 1.0000e-03 eta: 1 day, 4:24:16 time: 0.4364 data_time: 0.0179 memory: 17087 grad_norm: 6.0781 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8102 loss: 0.8102 2022/08/04 15:10:13 - mmengine - INFO - Epoch(train) [131][120/1879] lr: 1.0000e-03 eta: 1 day, 4:24:07 time: 0.4313 data_time: 0.0151 memory: 17087 grad_norm: 6.2017 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8817 loss: 0.8817 2022/08/04 15:10:21 - mmengine - INFO - Epoch(train) [131][140/1879] lr: 1.0000e-03 eta: 1 day, 4:23:59 time: 0.4336 data_time: 0.0154 memory: 17087 grad_norm: 6.2898 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9681 loss: 0.9681 2022/08/04 15:10:30 - mmengine - INFO - Epoch(train) [131][160/1879] lr: 1.0000e-03 eta: 1 day, 4:23:50 time: 0.4304 data_time: 0.0164 memory: 17087 grad_norm: 6.3778 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0222 loss: 1.0222 2022/08/04 15:10:39 - mmengine - INFO - Epoch(train) [131][180/1879] lr: 1.0000e-03 eta: 1 day, 4:23:42 time: 0.4377 data_time: 0.0151 memory: 17087 grad_norm: 6.4396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9813 loss: 0.9813 2022/08/04 15:10:48 - mmengine - INFO - Epoch(train) [131][200/1879] lr: 1.0000e-03 eta: 1 day, 4:23:33 time: 0.4334 data_time: 0.0164 memory: 17087 grad_norm: 6.3547 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1785 loss: 1.1785 2022/08/04 15:10:56 - mmengine - INFO - Epoch(train) [131][220/1879] lr: 1.0000e-03 eta: 1 day, 4:23:24 time: 0.4300 data_time: 0.0157 memory: 17087 grad_norm: 6.3625 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7243 loss: 0.7243 2022/08/04 15:11:05 - mmengine - INFO - Epoch(train) [131][240/1879] lr: 1.0000e-03 eta: 1 day, 4:23:16 time: 0.4264 data_time: 0.0142 memory: 17087 grad_norm: 6.1461 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9703 loss: 0.9703 2022/08/04 15:11:13 - mmengine - INFO - Epoch(train) [131][260/1879] lr: 1.0000e-03 eta: 1 day, 4:23:07 time: 0.4399 data_time: 0.0170 memory: 17087 grad_norm: 6.1767 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0330 loss: 1.0330 2022/08/04 15:11:22 - mmengine - INFO - Epoch(train) [131][280/1879] lr: 1.0000e-03 eta: 1 day, 4:22:59 time: 0.4439 data_time: 0.0136 memory: 17087 grad_norm: 6.3425 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9220 loss: 0.9220 2022/08/04 15:11:31 - mmengine - INFO - Epoch(train) [131][300/1879] lr: 1.0000e-03 eta: 1 day, 4:22:50 time: 0.4483 data_time: 0.0157 memory: 17087 grad_norm: 6.2734 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8324 loss: 0.8324 2022/08/04 15:11:40 - mmengine - INFO - Epoch(train) [131][320/1879] lr: 1.0000e-03 eta: 1 day, 4:22:42 time: 0.4300 data_time: 0.0153 memory: 17087 grad_norm: 6.2691 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8522 loss: 0.8522 2022/08/04 15:11:49 - mmengine - INFO - Epoch(train) [131][340/1879] lr: 1.0000e-03 eta: 1 day, 4:22:33 time: 0.4576 data_time: 0.0180 memory: 17087 grad_norm: 6.3361 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8157 loss: 0.8157 2022/08/04 15:11:58 - mmengine - INFO - Epoch(train) [131][360/1879] lr: 1.0000e-03 eta: 1 day, 4:22:25 time: 0.4265 data_time: 0.0137 memory: 17087 grad_norm: 6.2932 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1003 loss: 1.1003 2022/08/04 15:12:06 - mmengine - INFO - Epoch(train) [131][380/1879] lr: 1.0000e-03 eta: 1 day, 4:22:16 time: 0.4298 data_time: 0.0173 memory: 17087 grad_norm: 6.2064 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9695 loss: 0.9695 2022/08/04 15:12:15 - mmengine - INFO - Epoch(train) [131][400/1879] lr: 1.0000e-03 eta: 1 day, 4:22:08 time: 0.4409 data_time: 0.0149 memory: 17087 grad_norm: 6.0650 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9638 loss: 0.9638 2022/08/04 15:12:24 - mmengine - INFO - Epoch(train) [131][420/1879] lr: 1.0000e-03 eta: 1 day, 4:21:59 time: 0.4311 data_time: 0.0175 memory: 17087 grad_norm: 6.4957 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0310 loss: 1.0310 2022/08/04 15:12:32 - mmengine - INFO - Epoch(train) [131][440/1879] lr: 1.0000e-03 eta: 1 day, 4:21:50 time: 0.4319 data_time: 0.0138 memory: 17087 grad_norm: 6.0451 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8728 loss: 0.8728 2022/08/04 15:12:41 - mmengine - INFO - Epoch(train) [131][460/1879] lr: 1.0000e-03 eta: 1 day, 4:21:42 time: 0.4503 data_time: 0.0179 memory: 17087 grad_norm: 6.0615 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9545 loss: 0.9545 2022/08/04 15:12:50 - mmengine - INFO - Epoch(train) [131][480/1879] lr: 1.0000e-03 eta: 1 day, 4:21:33 time: 0.4303 data_time: 0.0155 memory: 17087 grad_norm: 6.1272 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0368 loss: 1.0368 2022/08/04 15:12:59 - mmengine - INFO - Epoch(train) [131][500/1879] lr: 1.0000e-03 eta: 1 day, 4:21:25 time: 0.4344 data_time: 0.0184 memory: 17087 grad_norm: 6.3711 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9387 loss: 0.9387 2022/08/04 15:13:08 - mmengine - INFO - Epoch(train) [131][520/1879] lr: 1.0000e-03 eta: 1 day, 4:21:16 time: 0.4414 data_time: 0.0162 memory: 17087 grad_norm: 6.2196 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9137 loss: 0.9137 2022/08/04 15:13:16 - mmengine - INFO - Epoch(train) [131][540/1879] lr: 1.0000e-03 eta: 1 day, 4:21:08 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 6.4511 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0664 loss: 1.0664 2022/08/04 15:13:25 - mmengine - INFO - Epoch(train) [131][560/1879] lr: 1.0000e-03 eta: 1 day, 4:20:59 time: 0.4283 data_time: 0.0150 memory: 17087 grad_norm: 6.1589 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0414 loss: 1.0414 2022/08/04 15:13:34 - mmengine - INFO - Epoch(train) [131][580/1879] lr: 1.0000e-03 eta: 1 day, 4:20:50 time: 0.4457 data_time: 0.0194 memory: 17087 grad_norm: 6.3911 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1564 loss: 1.1564 2022/08/04 15:13:42 - mmengine - INFO - Epoch(train) [131][600/1879] lr: 1.0000e-03 eta: 1 day, 4:20:42 time: 0.4319 data_time: 0.0167 memory: 17087 grad_norm: 5.9831 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7883 loss: 0.7883 2022/08/04 15:13:52 - mmengine - INFO - Epoch(train) [131][620/1879] lr: 1.0000e-03 eta: 1 day, 4:20:34 time: 0.4668 data_time: 0.0190 memory: 17087 grad_norm: 6.2264 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9185 loss: 0.9185 2022/08/04 15:14:00 - mmengine - INFO - Epoch(train) [131][640/1879] lr: 1.0000e-03 eta: 1 day, 4:20:25 time: 0.4347 data_time: 0.0204 memory: 17087 grad_norm: 6.2273 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8531 loss: 0.8531 2022/08/04 15:14:09 - mmengine - INFO - Epoch(train) [131][660/1879] lr: 1.0000e-03 eta: 1 day, 4:20:17 time: 0.4357 data_time: 0.0176 memory: 17087 grad_norm: 6.1087 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9296 loss: 0.9296 2022/08/04 15:14:18 - mmengine - INFO - Epoch(train) [131][680/1879] lr: 1.0000e-03 eta: 1 day, 4:20:08 time: 0.4278 data_time: 0.0153 memory: 17087 grad_norm: 6.2970 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8307 loss: 0.8307 2022/08/04 15:14:26 - mmengine - INFO - Epoch(train) [131][700/1879] lr: 1.0000e-03 eta: 1 day, 4:19:59 time: 0.4304 data_time: 0.0169 memory: 17087 grad_norm: 6.3231 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0433 loss: 1.0433 2022/08/04 15:14:36 - mmengine - INFO - Epoch(train) [131][720/1879] lr: 1.0000e-03 eta: 1 day, 4:19:51 time: 0.4564 data_time: 0.0156 memory: 17087 grad_norm: 6.3551 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0312 loss: 1.0312 2022/08/04 15:14:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 15:14:44 - mmengine - INFO - Epoch(train) [131][740/1879] lr: 1.0000e-03 eta: 1 day, 4:19:43 time: 0.4362 data_time: 0.0211 memory: 17087 grad_norm: 6.3049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0663 loss: 1.0663 2022/08/04 15:14:53 - mmengine - INFO - Epoch(train) [131][760/1879] lr: 1.0000e-03 eta: 1 day, 4:19:34 time: 0.4468 data_time: 0.0150 memory: 17087 grad_norm: 6.4175 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9807 loss: 0.9807 2022/08/04 15:15:02 - mmengine - INFO - Epoch(train) [131][780/1879] lr: 1.0000e-03 eta: 1 day, 4:19:26 time: 0.4348 data_time: 0.0154 memory: 17087 grad_norm: 6.5632 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9956 loss: 0.9956 2022/08/04 15:15:11 - mmengine - INFO - Epoch(train) [131][800/1879] lr: 1.0000e-03 eta: 1 day, 4:19:17 time: 0.4608 data_time: 0.0153 memory: 17087 grad_norm: 6.0549 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8835 loss: 0.8835 2022/08/04 15:15:20 - mmengine - INFO - Epoch(train) [131][820/1879] lr: 1.0000e-03 eta: 1 day, 4:19:09 time: 0.4299 data_time: 0.0172 memory: 17087 grad_norm: 6.3723 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.8976 loss: 0.8976 2022/08/04 15:15:28 - mmengine - INFO - Epoch(train) [131][840/1879] lr: 1.0000e-03 eta: 1 day, 4:19:00 time: 0.4290 data_time: 0.0156 memory: 17087 grad_norm: 6.2070 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9867 loss: 0.9867 2022/08/04 15:15:37 - mmengine - INFO - Epoch(train) [131][860/1879] lr: 1.0000e-03 eta: 1 day, 4:18:51 time: 0.4318 data_time: 0.0170 memory: 17087 grad_norm: 6.2040 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9003 loss: 0.9003 2022/08/04 15:15:46 - mmengine - INFO - Epoch(train) [131][880/1879] lr: 1.0000e-03 eta: 1 day, 4:18:43 time: 0.4267 data_time: 0.0152 memory: 17087 grad_norm: 6.2512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8949 loss: 0.8949 2022/08/04 15:15:54 - mmengine - INFO - Epoch(train) [131][900/1879] lr: 1.0000e-03 eta: 1 day, 4:18:34 time: 0.4427 data_time: 0.0164 memory: 17087 grad_norm: 6.3959 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9516 loss: 0.9516 2022/08/04 15:16:03 - mmengine - INFO - Epoch(train) [131][920/1879] lr: 1.0000e-03 eta: 1 day, 4:18:26 time: 0.4281 data_time: 0.0150 memory: 17087 grad_norm: 6.5190 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 1.0386 loss: 1.0386 2022/08/04 15:16:12 - mmengine - INFO - Epoch(train) [131][940/1879] lr: 1.0000e-03 eta: 1 day, 4:18:17 time: 0.4356 data_time: 0.0161 memory: 17087 grad_norm: 6.4636 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9673 loss: 0.9673 2022/08/04 15:16:20 - mmengine - INFO - Epoch(train) [131][960/1879] lr: 1.0000e-03 eta: 1 day, 4:18:08 time: 0.4322 data_time: 0.0194 memory: 17087 grad_norm: 6.5129 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9655 loss: 0.9655 2022/08/04 15:16:29 - mmengine - INFO - Epoch(train) [131][980/1879] lr: 1.0000e-03 eta: 1 day, 4:18:00 time: 0.4317 data_time: 0.0156 memory: 17087 grad_norm: 6.1579 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8290 loss: 0.8290 2022/08/04 15:16:38 - mmengine - INFO - Epoch(train) [131][1000/1879] lr: 1.0000e-03 eta: 1 day, 4:17:51 time: 0.4288 data_time: 0.0146 memory: 17087 grad_norm: 6.4248 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8323 loss: 0.8323 2022/08/04 15:16:46 - mmengine - INFO - Epoch(train) [131][1020/1879] lr: 1.0000e-03 eta: 1 day, 4:17:42 time: 0.4287 data_time: 0.0160 memory: 17087 grad_norm: 6.3422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8395 loss: 0.8395 2022/08/04 15:16:55 - mmengine - INFO - Epoch(train) [131][1040/1879] lr: 1.0000e-03 eta: 1 day, 4:17:34 time: 0.4345 data_time: 0.0142 memory: 17087 grad_norm: 6.2632 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0376 loss: 1.0376 2022/08/04 15:17:04 - mmengine - INFO - Epoch(train) [131][1060/1879] lr: 1.0000e-03 eta: 1 day, 4:17:25 time: 0.4311 data_time: 0.0177 memory: 17087 grad_norm: 6.0200 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9478 loss: 0.9478 2022/08/04 15:17:13 - mmengine - INFO - Epoch(train) [131][1080/1879] lr: 1.0000e-03 eta: 1 day, 4:17:17 time: 0.4509 data_time: 0.0153 memory: 17087 grad_norm: 6.4416 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9380 loss: 0.9380 2022/08/04 15:17:21 - mmengine - INFO - Epoch(train) [131][1100/1879] lr: 1.0000e-03 eta: 1 day, 4:17:08 time: 0.4298 data_time: 0.0165 memory: 17087 grad_norm: 6.4861 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0178 loss: 1.0178 2022/08/04 15:17:30 - mmengine - INFO - Epoch(train) [131][1120/1879] lr: 1.0000e-03 eta: 1 day, 4:16:59 time: 0.4299 data_time: 0.0167 memory: 17087 grad_norm: 6.5448 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1060 loss: 1.1060 2022/08/04 15:17:38 - mmengine - INFO - Epoch(train) [131][1140/1879] lr: 1.0000e-03 eta: 1 day, 4:16:51 time: 0.4338 data_time: 0.0153 memory: 17087 grad_norm: 6.3870 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9901 loss: 0.9901 2022/08/04 15:17:47 - mmengine - INFO - Epoch(train) [131][1160/1879] lr: 1.0000e-03 eta: 1 day, 4:16:42 time: 0.4317 data_time: 0.0153 memory: 17087 grad_norm: 6.2673 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9675 loss: 0.9675 2022/08/04 15:17:56 - mmengine - INFO - Epoch(train) [131][1180/1879] lr: 1.0000e-03 eta: 1 day, 4:16:34 time: 0.4460 data_time: 0.0158 memory: 17087 grad_norm: 6.2280 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9691 loss: 0.9691 2022/08/04 15:18:05 - mmengine - INFO - Epoch(train) [131][1200/1879] lr: 1.0000e-03 eta: 1 day, 4:16:25 time: 0.4334 data_time: 0.0153 memory: 17087 grad_norm: 6.4076 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9384 loss: 0.9384 2022/08/04 15:18:14 - mmengine - INFO - Epoch(train) [131][1220/1879] lr: 1.0000e-03 eta: 1 day, 4:16:17 time: 0.4442 data_time: 0.0164 memory: 17087 grad_norm: 6.3930 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9917 loss: 0.9917 2022/08/04 15:18:22 - mmengine - INFO - Epoch(train) [131][1240/1879] lr: 1.0000e-03 eta: 1 day, 4:16:08 time: 0.4383 data_time: 0.0156 memory: 17087 grad_norm: 6.2346 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9091 loss: 0.9091 2022/08/04 15:18:31 - mmengine - INFO - Epoch(train) [131][1260/1879] lr: 1.0000e-03 eta: 1 day, 4:16:00 time: 0.4510 data_time: 0.0159 memory: 17087 grad_norm: 6.4733 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9808 loss: 0.9808 2022/08/04 15:18:40 - mmengine - INFO - Epoch(train) [131][1280/1879] lr: 1.0000e-03 eta: 1 day, 4:15:51 time: 0.4303 data_time: 0.0164 memory: 17087 grad_norm: 6.3541 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9590 loss: 0.9590 2022/08/04 15:18:49 - mmengine - INFO - Epoch(train) [131][1300/1879] lr: 1.0000e-03 eta: 1 day, 4:15:43 time: 0.4437 data_time: 0.0181 memory: 17087 grad_norm: 6.6648 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1130 loss: 1.1130 2022/08/04 15:18:58 - mmengine - INFO - Epoch(train) [131][1320/1879] lr: 1.0000e-03 eta: 1 day, 4:15:34 time: 0.4355 data_time: 0.0160 memory: 17087 grad_norm: 6.1985 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8769 loss: 0.8769 2022/08/04 15:19:06 - mmengine - INFO - Epoch(train) [131][1340/1879] lr: 1.0000e-03 eta: 1 day, 4:15:26 time: 0.4341 data_time: 0.0196 memory: 17087 grad_norm: 6.4557 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0477 loss: 1.0477 2022/08/04 15:19:16 - mmengine - INFO - Epoch(train) [131][1360/1879] lr: 1.0000e-03 eta: 1 day, 4:15:18 time: 0.4700 data_time: 0.0164 memory: 17087 grad_norm: 6.3831 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8053 loss: 0.8053 2022/08/04 15:19:25 - mmengine - INFO - Epoch(train) [131][1380/1879] lr: 1.0000e-03 eta: 1 day, 4:15:09 time: 0.4303 data_time: 0.0169 memory: 17087 grad_norm: 6.2946 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9911 loss: 0.9911 2022/08/04 15:19:33 - mmengine - INFO - Epoch(train) [131][1400/1879] lr: 1.0000e-03 eta: 1 day, 4:15:00 time: 0.4358 data_time: 0.0205 memory: 17087 grad_norm: 6.4754 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0010 loss: 1.0010 2022/08/04 15:19:42 - mmengine - INFO - Epoch(train) [131][1420/1879] lr: 1.0000e-03 eta: 1 day, 4:14:52 time: 0.4285 data_time: 0.0162 memory: 17087 grad_norm: 6.2985 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8391 loss: 0.8391 2022/08/04 15:19:51 - mmengine - INFO - Epoch(train) [131][1440/1879] lr: 1.0000e-03 eta: 1 day, 4:14:44 time: 0.4681 data_time: 0.0160 memory: 17087 grad_norm: 6.2966 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0705 loss: 1.0705 2022/08/04 15:20:00 - mmengine - INFO - Epoch(train) [131][1460/1879] lr: 1.0000e-03 eta: 1 day, 4:14:35 time: 0.4366 data_time: 0.0247 memory: 17087 grad_norm: 6.2946 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8099 loss: 0.8099 2022/08/04 15:20:09 - mmengine - INFO - Epoch(train) [131][1480/1879] lr: 1.0000e-03 eta: 1 day, 4:14:27 time: 0.4377 data_time: 0.0164 memory: 17087 grad_norm: 6.3952 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9000 loss: 0.9000 2022/08/04 15:20:17 - mmengine - INFO - Epoch(train) [131][1500/1879] lr: 1.0000e-03 eta: 1 day, 4:14:18 time: 0.4274 data_time: 0.0157 memory: 17087 grad_norm: 6.3462 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0867 loss: 1.0867 2022/08/04 15:20:26 - mmengine - INFO - Epoch(train) [131][1520/1879] lr: 1.0000e-03 eta: 1 day, 4:14:09 time: 0.4268 data_time: 0.0148 memory: 17087 grad_norm: 6.1427 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0531 loss: 1.0531 2022/08/04 15:20:35 - mmengine - INFO - Epoch(train) [131][1540/1879] lr: 1.0000e-03 eta: 1 day, 4:14:01 time: 0.4616 data_time: 0.0186 memory: 17087 grad_norm: 6.5988 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1531 loss: 1.1531 2022/08/04 15:20:44 - mmengine - INFO - Epoch(train) [131][1560/1879] lr: 1.0000e-03 eta: 1 day, 4:13:52 time: 0.4305 data_time: 0.0142 memory: 17087 grad_norm: 6.3170 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9549 loss: 0.9549 2022/08/04 15:20:53 - mmengine - INFO - Epoch(train) [131][1580/1879] lr: 1.0000e-03 eta: 1 day, 4:13:44 time: 0.4608 data_time: 0.0229 memory: 17087 grad_norm: 6.1584 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0081 loss: 1.0081 2022/08/04 15:21:02 - mmengine - INFO - Epoch(train) [131][1600/1879] lr: 1.0000e-03 eta: 1 day, 4:13:36 time: 0.4296 data_time: 0.0145 memory: 17087 grad_norm: 6.4168 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0339 loss: 1.0339 2022/08/04 15:21:11 - mmengine - INFO - Epoch(train) [131][1620/1879] lr: 1.0000e-03 eta: 1 day, 4:13:28 time: 0.4610 data_time: 0.0218 memory: 17087 grad_norm: 6.3841 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1613 loss: 1.1613 2022/08/04 15:21:19 - mmengine - INFO - Epoch(train) [131][1640/1879] lr: 1.0000e-03 eta: 1 day, 4:13:19 time: 0.4280 data_time: 0.0164 memory: 17087 grad_norm: 6.3645 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.2045 loss: 1.2045 2022/08/04 15:21:28 - mmengine - INFO - Epoch(train) [131][1660/1879] lr: 1.0000e-03 eta: 1 day, 4:13:10 time: 0.4289 data_time: 0.0186 memory: 17087 grad_norm: 6.3484 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9351 loss: 0.9351 2022/08/04 15:21:36 - mmengine - INFO - Epoch(train) [131][1680/1879] lr: 1.0000e-03 eta: 1 day, 4:13:01 time: 0.4282 data_time: 0.0149 memory: 17087 grad_norm: 6.3784 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9183 loss: 0.9183 2022/08/04 15:21:45 - mmengine - INFO - Epoch(train) [131][1700/1879] lr: 1.0000e-03 eta: 1 day, 4:12:53 time: 0.4364 data_time: 0.0162 memory: 17087 grad_norm: 6.3919 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8834 loss: 0.8834 2022/08/04 15:21:54 - mmengine - INFO - Epoch(train) [131][1720/1879] lr: 1.0000e-03 eta: 1 day, 4:12:44 time: 0.4259 data_time: 0.0125 memory: 17087 grad_norm: 6.3495 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9777 loss: 0.9777 2022/08/04 15:21:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 15:22:02 - mmengine - INFO - Epoch(train) [131][1740/1879] lr: 1.0000e-03 eta: 1 day, 4:12:35 time: 0.4299 data_time: 0.0150 memory: 17087 grad_norm: 6.5780 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1243 loss: 1.1243 2022/08/04 15:22:11 - mmengine - INFO - Epoch(train) [131][1760/1879] lr: 1.0000e-03 eta: 1 day, 4:12:27 time: 0.4296 data_time: 0.0140 memory: 17087 grad_norm: 6.4803 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0185 loss: 1.0185 2022/08/04 15:22:20 - mmengine - INFO - Epoch(train) [131][1780/1879] lr: 1.0000e-03 eta: 1 day, 4:12:19 time: 0.4573 data_time: 0.0218 memory: 17087 grad_norm: 6.3370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0014 loss: 1.0014 2022/08/04 15:22:29 - mmengine - INFO - Epoch(train) [131][1800/1879] lr: 1.0000e-03 eta: 1 day, 4:12:10 time: 0.4271 data_time: 0.0144 memory: 17087 grad_norm: 6.4921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9443 loss: 0.9443 2022/08/04 15:22:37 - mmengine - INFO - Epoch(train) [131][1820/1879] lr: 1.0000e-03 eta: 1 day, 4:12:01 time: 0.4351 data_time: 0.0208 memory: 17087 grad_norm: 6.4301 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9645 loss: 0.9645 2022/08/04 15:22:47 - mmengine - INFO - Epoch(train) [131][1840/1879] lr: 1.0000e-03 eta: 1 day, 4:11:53 time: 0.4572 data_time: 0.0145 memory: 17087 grad_norm: 6.4237 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0686 loss: 1.0686 2022/08/04 15:22:55 - mmengine - INFO - Epoch(train) [131][1860/1879] lr: 1.0000e-03 eta: 1 day, 4:11:44 time: 0.4318 data_time: 0.0180 memory: 17087 grad_norm: 6.5805 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9857 loss: 0.9857 2022/08/04 15:23:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 15:23:03 - mmengine - INFO - Epoch(train) [131][1879/1879] lr: 1.0000e-03 eta: 1 day, 4:11:44 time: 0.4126 data_time: 0.0130 memory: 17087 grad_norm: 6.6530 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0068 loss: 1.0068 2022/08/04 15:23:14 - mmengine - INFO - Epoch(train) [132][20/1879] lr: 1.0000e-03 eta: 1 day, 4:11:22 time: 0.5476 data_time: 0.1057 memory: 17087 grad_norm: 6.1189 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8503 loss: 0.8503 2022/08/04 15:23:24 - mmengine - INFO - Epoch(train) [132][40/1879] lr: 1.0000e-03 eta: 1 day, 4:11:14 time: 0.4751 data_time: 0.0190 memory: 17087 grad_norm: 6.4391 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8771 loss: 0.8771 2022/08/04 15:23:32 - mmengine - INFO - Epoch(train) [132][60/1879] lr: 1.0000e-03 eta: 1 day, 4:11:06 time: 0.4321 data_time: 0.0158 memory: 17087 grad_norm: 6.2608 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9360 loss: 0.9360 2022/08/04 15:23:42 - mmengine - INFO - Epoch(train) [132][80/1879] lr: 1.0000e-03 eta: 1 day, 4:10:58 time: 0.4662 data_time: 0.0165 memory: 17087 grad_norm: 6.2702 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9090 loss: 0.9090 2022/08/04 15:23:50 - mmengine - INFO - Epoch(train) [132][100/1879] lr: 1.0000e-03 eta: 1 day, 4:10:49 time: 0.4301 data_time: 0.0156 memory: 17087 grad_norm: 6.4586 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9862 loss: 0.9862 2022/08/04 15:23:59 - mmengine - INFO - Epoch(train) [132][120/1879] lr: 1.0000e-03 eta: 1 day, 4:10:40 time: 0.4395 data_time: 0.0166 memory: 17087 grad_norm: 6.3188 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9976 loss: 0.9976 2022/08/04 15:24:08 - mmengine - INFO - Epoch(train) [132][140/1879] lr: 1.0000e-03 eta: 1 day, 4:10:32 time: 0.4291 data_time: 0.0144 memory: 17087 grad_norm: 6.3405 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9772 loss: 0.9772 2022/08/04 15:24:16 - mmengine - INFO - Epoch(train) [132][160/1879] lr: 1.0000e-03 eta: 1 day, 4:10:23 time: 0.4289 data_time: 0.0155 memory: 17087 grad_norm: 6.2861 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9465 loss: 0.9465 2022/08/04 15:24:25 - mmengine - INFO - Epoch(train) [132][180/1879] lr: 1.0000e-03 eta: 1 day, 4:10:15 time: 0.4623 data_time: 0.0177 memory: 17087 grad_norm: 6.2718 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9204 loss: 0.9204 2022/08/04 15:24:34 - mmengine - INFO - Epoch(train) [132][200/1879] lr: 1.0000e-03 eta: 1 day, 4:10:06 time: 0.4321 data_time: 0.0179 memory: 17087 grad_norm: 6.0873 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8780 loss: 0.8780 2022/08/04 15:24:43 - mmengine - INFO - Epoch(train) [132][220/1879] lr: 1.0000e-03 eta: 1 day, 4:09:58 time: 0.4560 data_time: 0.0198 memory: 17087 grad_norm: 6.6419 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0161 loss: 1.0161 2022/08/04 15:24:52 - mmengine - INFO - Epoch(train) [132][240/1879] lr: 1.0000e-03 eta: 1 day, 4:09:49 time: 0.4357 data_time: 0.0239 memory: 17087 grad_norm: 6.4606 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0466 loss: 1.0466 2022/08/04 15:25:01 - mmengine - INFO - Epoch(train) [132][260/1879] lr: 1.0000e-03 eta: 1 day, 4:09:41 time: 0.4603 data_time: 0.0158 memory: 17087 grad_norm: 6.4647 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9713 loss: 0.9713 2022/08/04 15:25:10 - mmengine - INFO - Epoch(train) [132][280/1879] lr: 1.0000e-03 eta: 1 day, 4:09:33 time: 0.4364 data_time: 0.0238 memory: 17087 grad_norm: 6.2686 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1862 loss: 1.1862 2022/08/04 15:25:19 - mmengine - INFO - Epoch(train) [132][300/1879] lr: 1.0000e-03 eta: 1 day, 4:09:25 time: 0.4603 data_time: 0.0146 memory: 17087 grad_norm: 6.5904 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9508 loss: 0.9508 2022/08/04 15:25:28 - mmengine - INFO - Epoch(train) [132][320/1879] lr: 1.0000e-03 eta: 1 day, 4:09:16 time: 0.4289 data_time: 0.0168 memory: 17087 grad_norm: 6.0412 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8800 loss: 0.8800 2022/08/04 15:25:37 - mmengine - INFO - Epoch(train) [132][340/1879] lr: 1.0000e-03 eta: 1 day, 4:09:07 time: 0.4405 data_time: 0.0149 memory: 17087 grad_norm: 6.2142 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0778 loss: 1.0778 2022/08/04 15:25:45 - mmengine - INFO - Epoch(train) [132][360/1879] lr: 1.0000e-03 eta: 1 day, 4:08:59 time: 0.4287 data_time: 0.0166 memory: 17087 grad_norm: 6.5159 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0997 loss: 1.0997 2022/08/04 15:25:54 - mmengine - INFO - Epoch(train) [132][380/1879] lr: 1.0000e-03 eta: 1 day, 4:08:50 time: 0.4315 data_time: 0.0150 memory: 17087 grad_norm: 6.3416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8662 loss: 0.8662 2022/08/04 15:26:03 - mmengine - INFO - Epoch(train) [132][400/1879] lr: 1.0000e-03 eta: 1 day, 4:08:42 time: 0.4437 data_time: 0.0171 memory: 17087 grad_norm: 6.4468 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9923 loss: 0.9923 2022/08/04 15:26:12 - mmengine - INFO - Epoch(train) [132][420/1879] lr: 1.0000e-03 eta: 1 day, 4:08:33 time: 0.4414 data_time: 0.0166 memory: 17087 grad_norm: 6.1842 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8965 loss: 0.8965 2022/08/04 15:26:20 - mmengine - INFO - Epoch(train) [132][440/1879] lr: 1.0000e-03 eta: 1 day, 4:08:25 time: 0.4316 data_time: 0.0168 memory: 17087 grad_norm: 6.4697 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9632 loss: 0.9632 2022/08/04 15:26:29 - mmengine - INFO - Epoch(train) [132][460/1879] lr: 1.0000e-03 eta: 1 day, 4:08:16 time: 0.4394 data_time: 0.0168 memory: 17087 grad_norm: 6.3274 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8762 loss: 0.8762 2022/08/04 15:26:38 - mmengine - INFO - Epoch(train) [132][480/1879] lr: 1.0000e-03 eta: 1 day, 4:08:07 time: 0.4271 data_time: 0.0152 memory: 17087 grad_norm: 6.1628 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9997 loss: 0.9997 2022/08/04 15:26:46 - mmengine - INFO - Epoch(train) [132][500/1879] lr: 1.0000e-03 eta: 1 day, 4:07:59 time: 0.4324 data_time: 0.0202 memory: 17087 grad_norm: 6.4335 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9282 loss: 0.9282 2022/08/04 15:26:55 - mmengine - INFO - Epoch(train) [132][520/1879] lr: 1.0000e-03 eta: 1 day, 4:07:51 time: 0.4555 data_time: 0.0175 memory: 17087 grad_norm: 6.7256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8092 loss: 0.8092 2022/08/04 15:27:04 - mmengine - INFO - Epoch(train) [132][540/1879] lr: 1.0000e-03 eta: 1 day, 4:07:42 time: 0.4294 data_time: 0.0152 memory: 17087 grad_norm: 6.2296 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0285 loss: 1.0285 2022/08/04 15:27:13 - mmengine - INFO - Epoch(train) [132][560/1879] lr: 1.0000e-03 eta: 1 day, 4:07:34 time: 0.4600 data_time: 0.0229 memory: 17087 grad_norm: 6.5194 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8454 loss: 0.8454 2022/08/04 15:27:22 - mmengine - INFO - Epoch(train) [132][580/1879] lr: 1.0000e-03 eta: 1 day, 4:07:25 time: 0.4288 data_time: 0.0146 memory: 17087 grad_norm: 6.2815 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8138 loss: 0.8138 2022/08/04 15:27:31 - mmengine - INFO - Epoch(train) [132][600/1879] lr: 1.0000e-03 eta: 1 day, 4:07:17 time: 0.4531 data_time: 0.0260 memory: 17087 grad_norm: 6.3685 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8031 loss: 0.8031 2022/08/04 15:27:39 - mmengine - INFO - Epoch(train) [132][620/1879] lr: 1.0000e-03 eta: 1 day, 4:07:08 time: 0.4278 data_time: 0.0148 memory: 17087 grad_norm: 6.2671 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9969 loss: 0.9969 2022/08/04 15:27:48 - mmengine - INFO - Epoch(train) [132][640/1879] lr: 1.0000e-03 eta: 1 day, 4:07:00 time: 0.4403 data_time: 0.0173 memory: 17087 grad_norm: 6.7385 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0035 loss: 1.0035 2022/08/04 15:27:57 - mmengine - INFO - Epoch(train) [132][660/1879] lr: 1.0000e-03 eta: 1 day, 4:06:51 time: 0.4594 data_time: 0.0164 memory: 17087 grad_norm: 6.1739 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0487 loss: 1.0487 2022/08/04 15:28:06 - mmengine - INFO - Epoch(train) [132][680/1879] lr: 1.0000e-03 eta: 1 day, 4:06:43 time: 0.4401 data_time: 0.0238 memory: 17087 grad_norm: 6.4103 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9679 loss: 0.9679 2022/08/04 15:28:15 - mmengine - INFO - Epoch(train) [132][700/1879] lr: 1.0000e-03 eta: 1 day, 4:06:34 time: 0.4297 data_time: 0.0172 memory: 17087 grad_norm: 6.3686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8612 loss: 0.8612 2022/08/04 15:28:24 - mmengine - INFO - Epoch(train) [132][720/1879] lr: 1.0000e-03 eta: 1 day, 4:06:26 time: 0.4552 data_time: 0.0169 memory: 17087 grad_norm: 6.3875 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8993 loss: 0.8993 2022/08/04 15:28:33 - mmengine - INFO - Epoch(train) [132][740/1879] lr: 1.0000e-03 eta: 1 day, 4:06:17 time: 0.4339 data_time: 0.0194 memory: 17087 grad_norm: 6.3709 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7394 loss: 0.7394 2022/08/04 15:28:41 - mmengine - INFO - Epoch(train) [132][760/1879] lr: 1.0000e-03 eta: 1 day, 4:06:09 time: 0.4376 data_time: 0.0171 memory: 17087 grad_norm: 6.4403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8729 loss: 0.8729 2022/08/04 15:28:50 - mmengine - INFO - Epoch(train) [132][780/1879] lr: 1.0000e-03 eta: 1 day, 4:06:01 time: 0.4477 data_time: 0.0140 memory: 17087 grad_norm: 6.2332 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0062 loss: 1.0062 2022/08/04 15:28:59 - mmengine - INFO - Epoch(train) [132][800/1879] lr: 1.0000e-03 eta: 1 day, 4:05:52 time: 0.4282 data_time: 0.0167 memory: 17087 grad_norm: 6.3959 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8879 loss: 0.8879 2022/08/04 15:29:08 - mmengine - INFO - Epoch(train) [132][820/1879] lr: 1.0000e-03 eta: 1 day, 4:05:43 time: 0.4275 data_time: 0.0154 memory: 17087 grad_norm: 6.3402 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8525 loss: 0.8525 2022/08/04 15:29:16 - mmengine - INFO - Epoch(train) [132][840/1879] lr: 1.0000e-03 eta: 1 day, 4:05:34 time: 0.4350 data_time: 0.0173 memory: 17087 grad_norm: 6.4741 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9856 loss: 0.9856 2022/08/04 15:29:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 15:29:25 - mmengine - INFO - Epoch(train) [132][860/1879] lr: 1.0000e-03 eta: 1 day, 4:05:26 time: 0.4303 data_time: 0.0143 memory: 17087 grad_norm: 6.4831 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8693 loss: 0.8693 2022/08/04 15:29:33 - mmengine - INFO - Epoch(train) [132][880/1879] lr: 1.0000e-03 eta: 1 day, 4:05:17 time: 0.4286 data_time: 0.0177 memory: 17087 grad_norm: 6.5433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8365 loss: 0.8365 2022/08/04 15:29:42 - mmengine - INFO - Epoch(train) [132][900/1879] lr: 1.0000e-03 eta: 1 day, 4:05:09 time: 0.4489 data_time: 0.0174 memory: 17087 grad_norm: 6.1540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9190 loss: 0.9190 2022/08/04 15:29:51 - mmengine - INFO - Epoch(train) [132][920/1879] lr: 1.0000e-03 eta: 1 day, 4:05:00 time: 0.4281 data_time: 0.0165 memory: 17087 grad_norm: 6.4889 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9167 loss: 0.9167 2022/08/04 15:30:00 - mmengine - INFO - Epoch(train) [132][940/1879] lr: 1.0000e-03 eta: 1 day, 4:04:51 time: 0.4306 data_time: 0.0149 memory: 17087 grad_norm: 6.3749 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9491 loss: 0.9491 2022/08/04 15:30:08 - mmengine - INFO - Epoch(train) [132][960/1879] lr: 1.0000e-03 eta: 1 day, 4:04:43 time: 0.4346 data_time: 0.0155 memory: 17087 grad_norm: 6.4273 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8184 loss: 0.8184 2022/08/04 15:30:17 - mmengine - INFO - Epoch(train) [132][980/1879] lr: 1.0000e-03 eta: 1 day, 4:04:34 time: 0.4476 data_time: 0.0128 memory: 17087 grad_norm: 6.0703 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7612 loss: 0.7612 2022/08/04 15:30:26 - mmengine - INFO - Epoch(train) [132][1000/1879] lr: 1.0000e-03 eta: 1 day, 4:04:26 time: 0.4351 data_time: 0.0216 memory: 17087 grad_norm: 6.4040 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9138 loss: 0.9138 2022/08/04 15:30:35 - mmengine - INFO - Epoch(train) [132][1020/1879] lr: 1.0000e-03 eta: 1 day, 4:04:18 time: 0.4518 data_time: 0.0143 memory: 17087 grad_norm: 6.3599 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8988 loss: 0.8988 2022/08/04 15:30:44 - mmengine - INFO - Epoch(train) [132][1040/1879] lr: 1.0000e-03 eta: 1 day, 4:04:09 time: 0.4340 data_time: 0.0231 memory: 17087 grad_norm: 6.2862 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9352 loss: 0.9352 2022/08/04 15:30:53 - mmengine - INFO - Epoch(train) [132][1060/1879] lr: 1.0000e-03 eta: 1 day, 4:04:01 time: 0.4587 data_time: 0.0140 memory: 17087 grad_norm: 6.1751 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9470 loss: 0.9470 2022/08/04 15:31:02 - mmengine - INFO - Epoch(train) [132][1080/1879] lr: 1.0000e-03 eta: 1 day, 4:03:52 time: 0.4323 data_time: 0.0207 memory: 17087 grad_norm: 6.2590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1617 loss: 1.1617 2022/08/04 15:31:10 - mmengine - INFO - Epoch(train) [132][1100/1879] lr: 1.0000e-03 eta: 1 day, 4:03:44 time: 0.4331 data_time: 0.0155 memory: 17087 grad_norm: 6.3205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9342 loss: 0.9342 2022/08/04 15:31:19 - mmengine - INFO - Epoch(train) [132][1120/1879] lr: 1.0000e-03 eta: 1 day, 4:03:35 time: 0.4289 data_time: 0.0166 memory: 17087 grad_norm: 6.5538 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0049 loss: 1.0049 2022/08/04 15:31:27 - mmengine - INFO - Epoch(train) [132][1140/1879] lr: 1.0000e-03 eta: 1 day, 4:03:26 time: 0.4266 data_time: 0.0157 memory: 17087 grad_norm: 6.4475 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9298 loss: 0.9298 2022/08/04 15:31:37 - mmengine - INFO - Epoch(train) [132][1160/1879] lr: 1.0000e-03 eta: 1 day, 4:03:18 time: 0.4608 data_time: 0.0165 memory: 17087 grad_norm: 6.4246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8583 loss: 0.8583 2022/08/04 15:31:47 - mmengine - INFO - Epoch(train) [132][1180/1879] lr: 1.0000e-03 eta: 1 day, 4:03:11 time: 0.5349 data_time: 0.0197 memory: 17087 grad_norm: 6.2136 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.1079 loss: 1.1079 2022/08/04 15:31:57 - mmengine - INFO - Epoch(train) [132][1200/1879] lr: 1.0000e-03 eta: 1 day, 4:03:03 time: 0.4656 data_time: 0.0221 memory: 17087 grad_norm: 6.1246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8383 loss: 0.8383 2022/08/04 15:32:05 - mmengine - INFO - Epoch(train) [132][1220/1879] lr: 1.0000e-03 eta: 1 day, 4:02:55 time: 0.4280 data_time: 0.0152 memory: 17087 grad_norm: 6.3901 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9339 loss: 0.9339 2022/08/04 15:32:15 - mmengine - INFO - Epoch(train) [132][1240/1879] lr: 1.0000e-03 eta: 1 day, 4:02:46 time: 0.4593 data_time: 0.0224 memory: 17087 grad_norm: 6.3741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0098 loss: 1.0098 2022/08/04 15:32:23 - mmengine - INFO - Epoch(train) [132][1260/1879] lr: 1.0000e-03 eta: 1 day, 4:02:38 time: 0.4281 data_time: 0.0154 memory: 17087 grad_norm: 6.4475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0924 loss: 1.0924 2022/08/04 15:32:32 - mmengine - INFO - Epoch(train) [132][1280/1879] lr: 1.0000e-03 eta: 1 day, 4:02:29 time: 0.4379 data_time: 0.0216 memory: 17087 grad_norm: 6.4949 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0744 loss: 1.0744 2022/08/04 15:32:41 - mmengine - INFO - Epoch(train) [132][1300/1879] lr: 1.0000e-03 eta: 1 day, 4:02:21 time: 0.4352 data_time: 0.0157 memory: 17087 grad_norm: 6.5881 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8763 loss: 0.8763 2022/08/04 15:32:50 - mmengine - INFO - Epoch(train) [132][1320/1879] lr: 1.0000e-03 eta: 1 day, 4:02:13 time: 0.4672 data_time: 0.0192 memory: 17087 grad_norm: 6.3851 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9113 loss: 0.9113 2022/08/04 15:32:59 - mmengine - INFO - Epoch(train) [132][1340/1879] lr: 1.0000e-03 eta: 1 day, 4:02:04 time: 0.4288 data_time: 0.0147 memory: 17087 grad_norm: 6.2416 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9192 loss: 0.9192 2022/08/04 15:33:07 - mmengine - INFO - Epoch(train) [132][1360/1879] lr: 1.0000e-03 eta: 1 day, 4:01:55 time: 0.4306 data_time: 0.0172 memory: 17087 grad_norm: 6.4181 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1934 loss: 1.1934 2022/08/04 15:33:16 - mmengine - INFO - Epoch(train) [132][1380/1879] lr: 1.0000e-03 eta: 1 day, 4:01:47 time: 0.4336 data_time: 0.0139 memory: 17087 grad_norm: 6.4932 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0438 loss: 1.0438 2022/08/04 15:33:25 - mmengine - INFO - Epoch(train) [132][1400/1879] lr: 1.0000e-03 eta: 1 day, 4:01:38 time: 0.4344 data_time: 0.0160 memory: 17087 grad_norm: 6.4731 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0458 loss: 1.0458 2022/08/04 15:33:34 - mmengine - INFO - Epoch(train) [132][1420/1879] lr: 1.0000e-03 eta: 1 day, 4:01:30 time: 0.4554 data_time: 0.0158 memory: 17087 grad_norm: 6.5997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0123 loss: 1.0123 2022/08/04 15:33:42 - mmengine - INFO - Epoch(train) [132][1440/1879] lr: 1.0000e-03 eta: 1 day, 4:01:21 time: 0.4317 data_time: 0.0160 memory: 17087 grad_norm: 6.4219 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9000 loss: 0.9000 2022/08/04 15:33:52 - mmengine - INFO - Epoch(train) [132][1460/1879] lr: 1.0000e-03 eta: 1 day, 4:01:13 time: 0.4761 data_time: 0.0236 memory: 17087 grad_norm: 6.4847 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9668 loss: 0.9668 2022/08/04 15:34:00 - mmengine - INFO - Epoch(train) [132][1480/1879] lr: 1.0000e-03 eta: 1 day, 4:01:05 time: 0.4270 data_time: 0.0153 memory: 17087 grad_norm: 6.3760 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8704 loss: 0.8704 2022/08/04 15:34:09 - mmengine - INFO - Epoch(train) [132][1500/1879] lr: 1.0000e-03 eta: 1 day, 4:00:56 time: 0.4265 data_time: 0.0152 memory: 17087 grad_norm: 6.4525 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9010 loss: 0.9010 2022/08/04 15:34:18 - mmengine - INFO - Epoch(train) [132][1520/1879] lr: 1.0000e-03 eta: 1 day, 4:00:47 time: 0.4274 data_time: 0.0158 memory: 17087 grad_norm: 6.3461 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1942 loss: 1.1942 2022/08/04 15:34:26 - mmengine - INFO - Epoch(train) [132][1540/1879] lr: 1.0000e-03 eta: 1 day, 4:00:38 time: 0.4310 data_time: 0.0153 memory: 17087 grad_norm: 6.3598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9601 loss: 0.9601 2022/08/04 15:34:35 - mmengine - INFO - Epoch(train) [132][1560/1879] lr: 1.0000e-03 eta: 1 day, 4:00:30 time: 0.4298 data_time: 0.0173 memory: 17087 grad_norm: 6.4821 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0418 loss: 1.0418 2022/08/04 15:34:43 - mmengine - INFO - Epoch(train) [132][1580/1879] lr: 1.0000e-03 eta: 1 day, 4:00:21 time: 0.4271 data_time: 0.0138 memory: 17087 grad_norm: 6.4668 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8878 loss: 0.8878 2022/08/04 15:34:52 - mmengine - INFO - Epoch(train) [132][1600/1879] lr: 1.0000e-03 eta: 1 day, 4:00:13 time: 0.4540 data_time: 0.0175 memory: 17087 grad_norm: 6.3026 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7910 loss: 0.7910 2022/08/04 15:35:01 - mmengine - INFO - Epoch(train) [132][1620/1879] lr: 1.0000e-03 eta: 1 day, 4:00:04 time: 0.4326 data_time: 0.0206 memory: 17087 grad_norm: 6.6048 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9677 loss: 0.9677 2022/08/04 15:35:10 - mmengine - INFO - Epoch(train) [132][1640/1879] lr: 1.0000e-03 eta: 1 day, 3:59:56 time: 0.4452 data_time: 0.0169 memory: 17087 grad_norm: 6.6803 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0755 loss: 1.0755 2022/08/04 15:35:19 - mmengine - INFO - Epoch(train) [132][1660/1879] lr: 1.0000e-03 eta: 1 day, 3:59:47 time: 0.4279 data_time: 0.0151 memory: 17087 grad_norm: 6.5178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9991 loss: 0.9991 2022/08/04 15:35:28 - mmengine - INFO - Epoch(train) [132][1680/1879] lr: 1.0000e-03 eta: 1 day, 3:59:39 time: 0.4507 data_time: 0.0190 memory: 17087 grad_norm: 6.3889 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1868 loss: 1.1868 2022/08/04 15:35:36 - mmengine - INFO - Epoch(train) [132][1700/1879] lr: 1.0000e-03 eta: 1 day, 3:59:30 time: 0.4291 data_time: 0.0146 memory: 17087 grad_norm: 6.2479 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9549 loss: 0.9549 2022/08/04 15:35:45 - mmengine - INFO - Epoch(train) [132][1720/1879] lr: 1.0000e-03 eta: 1 day, 3:59:22 time: 0.4373 data_time: 0.0207 memory: 17087 grad_norm: 6.3016 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9760 loss: 0.9760 2022/08/04 15:35:54 - mmengine - INFO - Epoch(train) [132][1740/1879] lr: 1.0000e-03 eta: 1 day, 3:59:13 time: 0.4291 data_time: 0.0164 memory: 17087 grad_norm: 6.3924 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9919 loss: 0.9919 2022/08/04 15:36:02 - mmengine - INFO - Epoch(train) [132][1760/1879] lr: 1.0000e-03 eta: 1 day, 3:59:04 time: 0.4382 data_time: 0.0171 memory: 17087 grad_norm: 6.4575 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9010 loss: 0.9010 2022/08/04 15:36:11 - mmengine - INFO - Epoch(train) [132][1780/1879] lr: 1.0000e-03 eta: 1 day, 3:58:56 time: 0.4275 data_time: 0.0155 memory: 17087 grad_norm: 6.5419 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.2881 loss: 1.2881 2022/08/04 15:36:20 - mmengine - INFO - Epoch(train) [132][1800/1879] lr: 1.0000e-03 eta: 1 day, 3:58:47 time: 0.4443 data_time: 0.0156 memory: 17087 grad_norm: 6.4915 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1179 loss: 1.1179 2022/08/04 15:36:28 - mmengine - INFO - Epoch(train) [132][1820/1879] lr: 1.0000e-03 eta: 1 day, 3:58:38 time: 0.4255 data_time: 0.0153 memory: 17087 grad_norm: 6.4206 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9949 loss: 0.9949 2022/08/04 15:36:37 - mmengine - INFO - Epoch(train) [132][1840/1879] lr: 1.0000e-03 eta: 1 day, 3:58:30 time: 0.4284 data_time: 0.0162 memory: 17087 grad_norm: 6.3688 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8540 loss: 0.8540 2022/08/04 15:36:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 15:36:46 - mmengine - INFO - Epoch(train) [132][1860/1879] lr: 1.0000e-03 eta: 1 day, 3:58:21 time: 0.4394 data_time: 0.0219 memory: 17087 grad_norm: 6.2863 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9518 loss: 0.9518 2022/08/04 15:36:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 15:36:54 - mmengine - INFO - Epoch(train) [132][1879/1879] lr: 1.0000e-03 eta: 1 day, 3:58:21 time: 0.4157 data_time: 0.0136 memory: 17087 grad_norm: 6.7683 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 1.1713 loss: 1.1713 2022/08/04 15:36:54 - mmengine - INFO - Saving checkpoint at 132 epochs 2022/08/04 15:37:08 - mmengine - INFO - Epoch(train) [133][20/1879] lr: 1.0000e-03 eta: 1 day, 3:57:58 time: 0.5105 data_time: 0.0977 memory: 17087 grad_norm: 6.1541 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0035 loss: 1.0035 2022/08/04 15:37:17 - mmengine - INFO - Epoch(train) [133][40/1879] lr: 1.0000e-03 eta: 1 day, 3:57:50 time: 0.4388 data_time: 0.0171 memory: 17087 grad_norm: 6.1111 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8892 loss: 0.8892 2022/08/04 15:37:25 - mmengine - INFO - Epoch(train) [133][60/1879] lr: 1.0000e-03 eta: 1 day, 3:57:41 time: 0.4386 data_time: 0.0152 memory: 17087 grad_norm: 6.3480 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8529 loss: 0.8529 2022/08/04 15:37:34 - mmengine - INFO - Epoch(train) [133][80/1879] lr: 1.0000e-03 eta: 1 day, 3:57:32 time: 0.4379 data_time: 0.0190 memory: 17087 grad_norm: 6.3371 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0333 loss: 1.0333 2022/08/04 15:37:43 - mmengine - INFO - Epoch(train) [133][100/1879] lr: 1.0000e-03 eta: 1 day, 3:57:24 time: 0.4289 data_time: 0.0175 memory: 17087 grad_norm: 6.5247 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9618 loss: 0.9618 2022/08/04 15:37:52 - mmengine - INFO - Epoch(train) [133][120/1879] lr: 1.0000e-03 eta: 1 day, 3:57:15 time: 0.4502 data_time: 0.0169 memory: 17087 grad_norm: 6.3952 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8657 loss: 0.8657 2022/08/04 15:38:00 - mmengine - INFO - Epoch(train) [133][140/1879] lr: 1.0000e-03 eta: 1 day, 3:57:07 time: 0.4285 data_time: 0.0162 memory: 17087 grad_norm: 6.6342 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0128 loss: 1.0128 2022/08/04 15:38:09 - mmengine - INFO - Epoch(train) [133][160/1879] lr: 1.0000e-03 eta: 1 day, 3:56:58 time: 0.4319 data_time: 0.0174 memory: 17087 grad_norm: 6.4724 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8878 loss: 0.8878 2022/08/04 15:38:18 - mmengine - INFO - Epoch(train) [133][180/1879] lr: 1.0000e-03 eta: 1 day, 3:56:49 time: 0.4320 data_time: 0.0136 memory: 17087 grad_norm: 6.4531 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8250 loss: 0.8250 2022/08/04 15:38:27 - mmengine - INFO - Epoch(train) [133][200/1879] lr: 1.0000e-03 eta: 1 day, 3:56:41 time: 0.4474 data_time: 0.0174 memory: 17087 grad_norm: 6.1925 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8047 loss: 0.8047 2022/08/04 15:38:35 - mmengine - INFO - Epoch(train) [133][220/1879] lr: 1.0000e-03 eta: 1 day, 3:56:33 time: 0.4398 data_time: 0.0156 memory: 17087 grad_norm: 6.2478 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9082 loss: 0.9082 2022/08/04 15:38:44 - mmengine - INFO - Epoch(train) [133][240/1879] lr: 1.0000e-03 eta: 1 day, 3:56:24 time: 0.4317 data_time: 0.0158 memory: 17087 grad_norm: 6.7224 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0733 loss: 1.0733 2022/08/04 15:38:53 - mmengine - INFO - Epoch(train) [133][260/1879] lr: 1.0000e-03 eta: 1 day, 3:56:15 time: 0.4410 data_time: 0.0163 memory: 17087 grad_norm: 6.3321 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9633 loss: 0.9633 2022/08/04 15:39:02 - mmengine - INFO - Epoch(train) [133][280/1879] lr: 1.0000e-03 eta: 1 day, 3:56:07 time: 0.4349 data_time: 0.0165 memory: 17087 grad_norm: 6.3636 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9215 loss: 0.9215 2022/08/04 15:39:11 - mmengine - INFO - Epoch(train) [133][300/1879] lr: 1.0000e-03 eta: 1 day, 3:55:59 time: 0.4486 data_time: 0.0170 memory: 17087 grad_norm: 6.3172 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9708 loss: 0.9708 2022/08/04 15:39:19 - mmengine - INFO - Epoch(train) [133][320/1879] lr: 1.0000e-03 eta: 1 day, 3:55:50 time: 0.4288 data_time: 0.0152 memory: 17087 grad_norm: 6.3454 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9681 loss: 0.9681 2022/08/04 15:39:28 - mmengine - INFO - Epoch(train) [133][340/1879] lr: 1.0000e-03 eta: 1 day, 3:55:41 time: 0.4341 data_time: 0.0165 memory: 17087 grad_norm: 6.4783 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9948 loss: 0.9948 2022/08/04 15:39:37 - mmengine - INFO - Epoch(train) [133][360/1879] lr: 1.0000e-03 eta: 1 day, 3:55:33 time: 0.4369 data_time: 0.0161 memory: 17087 grad_norm: 6.2961 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9254 loss: 0.9254 2022/08/04 15:39:45 - mmengine - INFO - Epoch(train) [133][380/1879] lr: 1.0000e-03 eta: 1 day, 3:55:24 time: 0.4303 data_time: 0.0163 memory: 17087 grad_norm: 6.4577 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8976 loss: 0.8976 2022/08/04 15:39:54 - mmengine - INFO - Epoch(train) [133][400/1879] lr: 1.0000e-03 eta: 1 day, 3:55:16 time: 0.4487 data_time: 0.0164 memory: 17087 grad_norm: 6.1039 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9616 loss: 0.9616 2022/08/04 15:40:03 - mmengine - INFO - Epoch(train) [133][420/1879] lr: 1.0000e-03 eta: 1 day, 3:55:07 time: 0.4343 data_time: 0.0200 memory: 17087 grad_norm: 6.2026 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0285 loss: 1.0285 2022/08/04 15:40:12 - mmengine - INFO - Epoch(train) [133][440/1879] lr: 1.0000e-03 eta: 1 day, 3:54:59 time: 0.4532 data_time: 0.0165 memory: 17087 grad_norm: 6.4635 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0107 loss: 1.0107 2022/08/04 15:40:21 - mmengine - INFO - Epoch(train) [133][460/1879] lr: 1.0000e-03 eta: 1 day, 3:54:50 time: 0.4323 data_time: 0.0148 memory: 17087 grad_norm: 6.6944 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.2120 loss: 1.2120 2022/08/04 15:40:29 - mmengine - INFO - Epoch(train) [133][480/1879] lr: 1.0000e-03 eta: 1 day, 3:54:42 time: 0.4323 data_time: 0.0166 memory: 17087 grad_norm: 6.6149 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9900 loss: 0.9900 2022/08/04 15:40:38 - mmengine - INFO - Epoch(train) [133][500/1879] lr: 1.0000e-03 eta: 1 day, 3:54:33 time: 0.4272 data_time: 0.0149 memory: 17087 grad_norm: 6.3713 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1383 loss: 1.1383 2022/08/04 15:40:47 - mmengine - INFO - Epoch(train) [133][520/1879] lr: 1.0000e-03 eta: 1 day, 3:54:24 time: 0.4491 data_time: 0.0168 memory: 17087 grad_norm: 6.4139 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8784 loss: 0.8784 2022/08/04 15:40:56 - mmengine - INFO - Epoch(train) [133][540/1879] lr: 1.0000e-03 eta: 1 day, 3:54:16 time: 0.4284 data_time: 0.0151 memory: 17087 grad_norm: 6.3809 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0022 loss: 1.0022 2022/08/04 15:41:04 - mmengine - INFO - Epoch(train) [133][560/1879] lr: 1.0000e-03 eta: 1 day, 3:54:07 time: 0.4348 data_time: 0.0166 memory: 17087 grad_norm: 6.4698 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9633 loss: 0.9633 2022/08/04 15:41:13 - mmengine - INFO - Epoch(train) [133][580/1879] lr: 1.0000e-03 eta: 1 day, 3:53:58 time: 0.4280 data_time: 0.0151 memory: 17087 grad_norm: 6.1889 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 0.8599 loss: 0.8599 2022/08/04 15:41:22 - mmengine - INFO - Epoch(train) [133][600/1879] lr: 1.0000e-03 eta: 1 day, 3:53:50 time: 0.4486 data_time: 0.0161 memory: 17087 grad_norm: 6.2744 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9412 loss: 0.9412 2022/08/04 15:41:31 - mmengine - INFO - Epoch(train) [133][620/1879] lr: 1.0000e-03 eta: 1 day, 3:53:42 time: 0.4357 data_time: 0.0200 memory: 17087 grad_norm: 6.3399 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0549 loss: 1.0549 2022/08/04 15:41:39 - mmengine - INFO - Epoch(train) [133][640/1879] lr: 1.0000e-03 eta: 1 day, 3:53:33 time: 0.4290 data_time: 0.0179 memory: 17087 grad_norm: 6.6103 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9988 loss: 0.9988 2022/08/04 15:41:48 - mmengine - INFO - Epoch(train) [133][660/1879] lr: 1.0000e-03 eta: 1 day, 3:53:25 time: 0.4509 data_time: 0.0157 memory: 17087 grad_norm: 6.1023 top1_acc: 0.4375 top5_acc: 0.9375 loss_cls: 0.8727 loss: 0.8727 2022/08/04 15:41:57 - mmengine - INFO - Epoch(train) [133][680/1879] lr: 1.0000e-03 eta: 1 day, 3:53:16 time: 0.4299 data_time: 0.0158 memory: 17087 grad_norm: 6.4769 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8054 loss: 0.8054 2022/08/04 15:42:06 - mmengine - INFO - Epoch(train) [133][700/1879] lr: 1.0000e-03 eta: 1 day, 3:53:08 time: 0.4507 data_time: 0.0152 memory: 17087 grad_norm: 6.4595 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8807 loss: 0.8807 2022/08/04 15:42:14 - mmengine - INFO - Epoch(train) [133][720/1879] lr: 1.0000e-03 eta: 1 day, 3:52:59 time: 0.4287 data_time: 0.0158 memory: 17087 grad_norm: 6.4189 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8753 loss: 0.8753 2022/08/04 15:42:23 - mmengine - INFO - Epoch(train) [133][740/1879] lr: 1.0000e-03 eta: 1 day, 3:52:50 time: 0.4319 data_time: 0.0160 memory: 17087 grad_norm: 6.5137 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0236 loss: 1.0236 2022/08/04 15:42:32 - mmengine - INFO - Epoch(train) [133][760/1879] lr: 1.0000e-03 eta: 1 day, 3:52:42 time: 0.4297 data_time: 0.0165 memory: 17087 grad_norm: 6.5559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/08/04 15:42:41 - mmengine - INFO - Epoch(train) [133][780/1879] lr: 1.0000e-03 eta: 1 day, 3:52:34 time: 0.4735 data_time: 0.0182 memory: 17087 grad_norm: 6.6566 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8837 loss: 0.8837 2022/08/04 15:42:50 - mmengine - INFO - Epoch(train) [133][800/1879] lr: 1.0000e-03 eta: 1 day, 3:52:25 time: 0.4287 data_time: 0.0151 memory: 17087 grad_norm: 6.3835 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9047 loss: 0.9047 2022/08/04 15:42:58 - mmengine - INFO - Epoch(train) [133][820/1879] lr: 1.0000e-03 eta: 1 day, 3:52:16 time: 0.4266 data_time: 0.0146 memory: 17087 grad_norm: 6.3310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9374 loss: 0.9374 2022/08/04 15:43:07 - mmengine - INFO - Epoch(train) [133][840/1879] lr: 1.0000e-03 eta: 1 day, 3:52:08 time: 0.4355 data_time: 0.0203 memory: 17087 grad_norm: 6.5108 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0076 loss: 1.0076 2022/08/04 15:43:16 - mmengine - INFO - Epoch(train) [133][860/1879] lr: 1.0000e-03 eta: 1 day, 3:51:59 time: 0.4275 data_time: 0.0148 memory: 17087 grad_norm: 6.4110 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9578 loss: 0.9578 2022/08/04 15:43:25 - mmengine - INFO - Epoch(train) [133][880/1879] lr: 1.0000e-03 eta: 1 day, 3:51:51 time: 0.4476 data_time: 0.0178 memory: 17087 grad_norm: 6.2500 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9143 loss: 0.9143 2022/08/04 15:43:33 - mmengine - INFO - Epoch(train) [133][900/1879] lr: 1.0000e-03 eta: 1 day, 3:51:42 time: 0.4286 data_time: 0.0132 memory: 17087 grad_norm: 6.2100 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8327 loss: 0.8327 2022/08/04 15:43:42 - mmengine - INFO - Epoch(train) [133][920/1879] lr: 1.0000e-03 eta: 1 day, 3:51:34 time: 0.4566 data_time: 0.0163 memory: 17087 grad_norm: 6.3883 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8923 loss: 0.8923 2022/08/04 15:43:51 - mmengine - INFO - Epoch(train) [133][940/1879] lr: 1.0000e-03 eta: 1 day, 3:51:25 time: 0.4418 data_time: 0.0210 memory: 17087 grad_norm: 6.2350 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0002 loss: 1.0002 2022/08/04 15:44:00 - mmengine - INFO - Epoch(train) [133][960/1879] lr: 1.0000e-03 eta: 1 day, 3:51:16 time: 0.4280 data_time: 0.0153 memory: 17087 grad_norm: 6.4987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9158 loss: 0.9158 2022/08/04 15:44:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 15:44:09 - mmengine - INFO - Epoch(train) [133][980/1879] lr: 1.0000e-03 eta: 1 day, 3:51:08 time: 0.4568 data_time: 0.0135 memory: 17087 grad_norm: 6.7220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0960 loss: 1.0960 2022/08/04 15:44:18 - mmengine - INFO - Epoch(train) [133][1000/1879] lr: 1.0000e-03 eta: 1 day, 3:51:00 time: 0.4297 data_time: 0.0162 memory: 17087 grad_norm: 6.6112 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0888 loss: 1.0888 2022/08/04 15:44:26 - mmengine - INFO - Epoch(train) [133][1020/1879] lr: 1.0000e-03 eta: 1 day, 3:50:51 time: 0.4365 data_time: 0.0174 memory: 17087 grad_norm: 6.5370 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0139 loss: 1.0139 2022/08/04 15:44:35 - mmengine - INFO - Epoch(train) [133][1040/1879] lr: 1.0000e-03 eta: 1 day, 3:50:42 time: 0.4287 data_time: 0.0155 memory: 17087 grad_norm: 6.5705 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8662 loss: 0.8662 2022/08/04 15:44:44 - mmengine - INFO - Epoch(train) [133][1060/1879] lr: 1.0000e-03 eta: 1 day, 3:50:34 time: 0.4348 data_time: 0.0155 memory: 17087 grad_norm: 6.4476 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0553 loss: 1.0553 2022/08/04 15:44:52 - mmengine - INFO - Epoch(train) [133][1080/1879] lr: 1.0000e-03 eta: 1 day, 3:50:25 time: 0.4289 data_time: 0.0157 memory: 17087 grad_norm: 6.5927 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0053 loss: 1.0053 2022/08/04 15:45:01 - mmengine - INFO - Epoch(train) [133][1100/1879] lr: 1.0000e-03 eta: 1 day, 3:50:16 time: 0.4346 data_time: 0.0159 memory: 17087 grad_norm: 6.1186 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8943 loss: 0.8943 2022/08/04 15:45:09 - mmengine - INFO - Epoch(train) [133][1120/1879] lr: 1.0000e-03 eta: 1 day, 3:50:08 time: 0.4285 data_time: 0.0166 memory: 17087 grad_norm: 6.6515 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8805 loss: 0.8805 2022/08/04 15:45:18 - mmengine - INFO - Epoch(train) [133][1140/1879] lr: 1.0000e-03 eta: 1 day, 3:49:59 time: 0.4290 data_time: 0.0144 memory: 17087 grad_norm: 6.3466 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0363 loss: 1.0363 2022/08/04 15:45:27 - mmengine - INFO - Epoch(train) [133][1160/1879] lr: 1.0000e-03 eta: 1 day, 3:49:51 time: 0.4543 data_time: 0.0169 memory: 17087 grad_norm: 6.3380 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7756 loss: 0.7756 2022/08/04 15:45:36 - mmengine - INFO - Epoch(train) [133][1180/1879] lr: 1.0000e-03 eta: 1 day, 3:49:42 time: 0.4342 data_time: 0.0166 memory: 17087 grad_norm: 6.3274 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9382 loss: 0.9382 2022/08/04 15:45:45 - mmengine - INFO - Epoch(train) [133][1200/1879] lr: 1.0000e-03 eta: 1 day, 3:49:34 time: 0.4556 data_time: 0.0173 memory: 17087 grad_norm: 6.5227 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9624 loss: 0.9624 2022/08/04 15:45:54 - mmengine - INFO - Epoch(train) [133][1220/1879] lr: 1.0000e-03 eta: 1 day, 3:49:25 time: 0.4300 data_time: 0.0157 memory: 17087 grad_norm: 6.2925 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8737 loss: 0.8737 2022/08/04 15:46:03 - mmengine - INFO - Epoch(train) [133][1240/1879] lr: 1.0000e-03 eta: 1 day, 3:49:17 time: 0.4470 data_time: 0.0169 memory: 17087 grad_norm: 6.6501 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9379 loss: 0.9379 2022/08/04 15:46:11 - mmengine - INFO - Epoch(train) [133][1260/1879] lr: 1.0000e-03 eta: 1 day, 3:49:08 time: 0.4282 data_time: 0.0150 memory: 17087 grad_norm: 6.4042 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0152 loss: 1.0152 2022/08/04 15:46:20 - mmengine - INFO - Epoch(train) [133][1280/1879] lr: 1.0000e-03 eta: 1 day, 3:48:59 time: 0.4282 data_time: 0.0165 memory: 17087 grad_norm: 6.3741 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7818 loss: 0.7818 2022/08/04 15:46:29 - mmengine - INFO - Epoch(train) [133][1300/1879] lr: 1.0000e-03 eta: 1 day, 3:48:51 time: 0.4421 data_time: 0.0163 memory: 17087 grad_norm: 6.4605 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8917 loss: 0.8917 2022/08/04 15:46:37 - mmengine - INFO - Epoch(train) [133][1320/1879] lr: 1.0000e-03 eta: 1 day, 3:48:42 time: 0.4327 data_time: 0.0158 memory: 17087 grad_norm: 6.5658 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9200 loss: 0.9200 2022/08/04 15:46:46 - mmengine - INFO - Epoch(train) [133][1340/1879] lr: 1.0000e-03 eta: 1 day, 3:48:34 time: 0.4354 data_time: 0.0178 memory: 17087 grad_norm: 6.6448 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0990 loss: 1.0990 2022/08/04 15:46:55 - mmengine - INFO - Epoch(train) [133][1360/1879] lr: 1.0000e-03 eta: 1 day, 3:48:25 time: 0.4295 data_time: 0.0161 memory: 17087 grad_norm: 6.4588 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9981 loss: 0.9981 2022/08/04 15:47:04 - mmengine - INFO - Epoch(train) [133][1380/1879] lr: 1.0000e-03 eta: 1 day, 3:48:17 time: 0.4545 data_time: 0.0162 memory: 17087 grad_norm: 6.4792 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9667 loss: 0.9667 2022/08/04 15:47:12 - mmengine - INFO - Epoch(train) [133][1400/1879] lr: 1.0000e-03 eta: 1 day, 3:48:08 time: 0.4301 data_time: 0.0165 memory: 17087 grad_norm: 6.3544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7381 loss: 0.7381 2022/08/04 15:47:21 - mmengine - INFO - Epoch(train) [133][1420/1879] lr: 1.0000e-03 eta: 1 day, 3:48:00 time: 0.4554 data_time: 0.0173 memory: 17087 grad_norm: 6.5113 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9295 loss: 0.9295 2022/08/04 15:47:30 - mmengine - INFO - Epoch(train) [133][1440/1879] lr: 1.0000e-03 eta: 1 day, 3:47:51 time: 0.4271 data_time: 0.0157 memory: 17087 grad_norm: 6.2711 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9537 loss: 0.9537 2022/08/04 15:47:39 - mmengine - INFO - Epoch(train) [133][1460/1879] lr: 1.0000e-03 eta: 1 day, 3:47:43 time: 0.4289 data_time: 0.0154 memory: 17087 grad_norm: 6.2804 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8710 loss: 0.8710 2022/08/04 15:47:47 - mmengine - INFO - Epoch(train) [133][1480/1879] lr: 1.0000e-03 eta: 1 day, 3:47:34 time: 0.4323 data_time: 0.0162 memory: 17087 grad_norm: 6.2270 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9056 loss: 0.9056 2022/08/04 15:47:56 - mmengine - INFO - Epoch(train) [133][1500/1879] lr: 1.0000e-03 eta: 1 day, 3:47:25 time: 0.4300 data_time: 0.0164 memory: 17087 grad_norm: 6.3953 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9276 loss: 0.9276 2022/08/04 15:48:05 - mmengine - INFO - Epoch(train) [133][1520/1879] lr: 1.0000e-03 eta: 1 day, 3:47:17 time: 0.4413 data_time: 0.0181 memory: 17087 grad_norm: 6.7020 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8860 loss: 0.8860 2022/08/04 15:48:13 - mmengine - INFO - Epoch(train) [133][1540/1879] lr: 1.0000e-03 eta: 1 day, 3:47:08 time: 0.4271 data_time: 0.0139 memory: 17087 grad_norm: 6.3781 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0377 loss: 1.0377 2022/08/04 15:48:22 - mmengine - INFO - Epoch(train) [133][1560/1879] lr: 1.0000e-03 eta: 1 day, 3:47:00 time: 0.4537 data_time: 0.0162 memory: 17087 grad_norm: 6.5850 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0851 loss: 1.0851 2022/08/04 15:48:31 - mmengine - INFO - Epoch(train) [133][1580/1879] lr: 1.0000e-03 eta: 1 day, 3:46:51 time: 0.4515 data_time: 0.0159 memory: 17087 grad_norm: 6.6081 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1366 loss: 1.1366 2022/08/04 15:48:40 - mmengine - INFO - Epoch(train) [133][1600/1879] lr: 1.0000e-03 eta: 1 day, 3:46:43 time: 0.4270 data_time: 0.0158 memory: 17087 grad_norm: 6.3449 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9505 loss: 0.9505 2022/08/04 15:48:48 - mmengine - INFO - Epoch(train) [133][1620/1879] lr: 1.0000e-03 eta: 1 day, 3:46:34 time: 0.4266 data_time: 0.0135 memory: 17087 grad_norm: 6.2661 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9190 loss: 0.9190 2022/08/04 15:48:57 - mmengine - INFO - Epoch(train) [133][1640/1879] lr: 1.0000e-03 eta: 1 day, 3:46:26 time: 0.4466 data_time: 0.0224 memory: 17087 grad_norm: 6.2822 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8825 loss: 0.8825 2022/08/04 15:49:06 - mmengine - INFO - Epoch(train) [133][1660/1879] lr: 1.0000e-03 eta: 1 day, 3:46:17 time: 0.4294 data_time: 0.0165 memory: 17087 grad_norm: 6.2978 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9064 loss: 0.9064 2022/08/04 15:49:15 - mmengine - INFO - Epoch(train) [133][1680/1879] lr: 1.0000e-03 eta: 1 day, 3:46:09 time: 0.4620 data_time: 0.0184 memory: 17087 grad_norm: 6.4898 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9078 loss: 0.9078 2022/08/04 15:49:24 - mmengine - INFO - Epoch(train) [133][1700/1879] lr: 1.0000e-03 eta: 1 day, 3:46:00 time: 0.4331 data_time: 0.0175 memory: 17087 grad_norm: 6.8315 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9894 loss: 0.9894 2022/08/04 15:49:34 - mmengine - INFO - Epoch(train) [133][1720/1879] lr: 1.0000e-03 eta: 1 day, 3:45:52 time: 0.4817 data_time: 0.0240 memory: 17087 grad_norm: 6.4276 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0232 loss: 1.0232 2022/08/04 15:49:42 - mmengine - INFO - Epoch(train) [133][1740/1879] lr: 1.0000e-03 eta: 1 day, 3:45:44 time: 0.4270 data_time: 0.0142 memory: 17087 grad_norm: 6.3886 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9209 loss: 0.9209 2022/08/04 15:49:52 - mmengine - INFO - Epoch(train) [133][1760/1879] lr: 1.0000e-03 eta: 1 day, 3:45:36 time: 0.4706 data_time: 0.0222 memory: 17087 grad_norm: 6.5506 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8184 loss: 0.8184 2022/08/04 15:50:00 - mmengine - INFO - Epoch(train) [133][1780/1879] lr: 1.0000e-03 eta: 1 day, 3:45:27 time: 0.4250 data_time: 0.0137 memory: 17087 grad_norm: 6.5724 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9485 loss: 0.9485 2022/08/04 15:50:09 - mmengine - INFO - Epoch(train) [133][1800/1879] lr: 1.0000e-03 eta: 1 day, 3:45:18 time: 0.4279 data_time: 0.0153 memory: 17087 grad_norm: 6.5243 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9898 loss: 0.9898 2022/08/04 15:50:17 - mmengine - INFO - Epoch(train) [133][1820/1879] lr: 1.0000e-03 eta: 1 day, 3:45:10 time: 0.4359 data_time: 0.0143 memory: 17087 grad_norm: 6.4252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0354 loss: 1.0354 2022/08/04 15:50:26 - mmengine - INFO - Epoch(train) [133][1840/1879] lr: 1.0000e-03 eta: 1 day, 3:45:01 time: 0.4299 data_time: 0.0162 memory: 17087 grad_norm: 6.5148 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8749 loss: 0.8749 2022/08/04 15:50:35 - mmengine - INFO - Epoch(train) [133][1860/1879] lr: 1.0000e-03 eta: 1 day, 3:44:52 time: 0.4335 data_time: 0.0166 memory: 17087 grad_norm: 6.4199 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0819 loss: 1.0819 2022/08/04 15:50:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 15:50:42 - mmengine - INFO - Epoch(train) [133][1879/1879] lr: 1.0000e-03 eta: 1 day, 3:44:52 time: 0.4071 data_time: 0.0140 memory: 17087 grad_norm: 6.5281 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 1.0242 loss: 1.0242 2022/08/04 15:50:54 - mmengine - INFO - Epoch(train) [134][20/1879] lr: 1.0000e-03 eta: 1 day, 3:44:31 time: 0.5701 data_time: 0.1234 memory: 17087 grad_norm: 6.5319 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0570 loss: 1.0570 2022/08/04 15:51:03 - mmengine - INFO - Epoch(train) [134][40/1879] lr: 1.0000e-03 eta: 1 day, 3:44:22 time: 0.4331 data_time: 0.0172 memory: 17087 grad_norm: 6.4451 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0315 loss: 1.0315 2022/08/04 15:51:11 - mmengine - INFO - Epoch(train) [134][60/1879] lr: 1.0000e-03 eta: 1 day, 3:44:13 time: 0.4274 data_time: 0.0153 memory: 17087 grad_norm: 6.4316 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1137 loss: 1.1137 2022/08/04 15:51:20 - mmengine - INFO - Epoch(train) [134][80/1879] lr: 1.0000e-03 eta: 1 day, 3:44:04 time: 0.4275 data_time: 0.0157 memory: 17087 grad_norm: 6.4333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8743 loss: 0.8743 2022/08/04 15:51:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 15:51:28 - mmengine - INFO - Epoch(train) [134][100/1879] lr: 1.0000e-03 eta: 1 day, 3:43:56 time: 0.4409 data_time: 0.0163 memory: 17087 grad_norm: 6.5467 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0559 loss: 1.0559 2022/08/04 15:51:37 - mmengine - INFO - Epoch(train) [134][120/1879] lr: 1.0000e-03 eta: 1 day, 3:43:47 time: 0.4334 data_time: 0.0167 memory: 17087 grad_norm: 6.4081 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0226 loss: 1.0226 2022/08/04 15:51:46 - mmengine - INFO - Epoch(train) [134][140/1879] lr: 1.0000e-03 eta: 1 day, 3:43:39 time: 0.4527 data_time: 0.0151 memory: 17087 grad_norm: 6.3243 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0323 loss: 1.0323 2022/08/04 15:51:55 - mmengine - INFO - Epoch(train) [134][160/1879] lr: 1.0000e-03 eta: 1 day, 3:43:30 time: 0.4313 data_time: 0.0172 memory: 17087 grad_norm: 6.4587 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9147 loss: 0.9147 2022/08/04 15:52:04 - mmengine - INFO - Epoch(train) [134][180/1879] lr: 1.0000e-03 eta: 1 day, 3:43:22 time: 0.4392 data_time: 0.0153 memory: 17087 grad_norm: 6.5185 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9035 loss: 0.9035 2022/08/04 15:52:12 - mmengine - INFO - Epoch(train) [134][200/1879] lr: 1.0000e-03 eta: 1 day, 3:43:13 time: 0.4272 data_time: 0.0158 memory: 17087 grad_norm: 6.2942 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9461 loss: 0.9461 2022/08/04 15:52:21 - mmengine - INFO - Epoch(train) [134][220/1879] lr: 1.0000e-03 eta: 1 day, 3:43:05 time: 0.4562 data_time: 0.0173 memory: 17087 grad_norm: 6.3019 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8445 loss: 0.8445 2022/08/04 15:52:30 - mmengine - INFO - Epoch(train) [134][240/1879] lr: 1.0000e-03 eta: 1 day, 3:42:56 time: 0.4283 data_time: 0.0179 memory: 17087 grad_norm: 6.7592 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0610 loss: 1.0610 2022/08/04 15:52:39 - mmengine - INFO - Epoch(train) [134][260/1879] lr: 1.0000e-03 eta: 1 day, 3:42:48 time: 0.4292 data_time: 0.0157 memory: 17087 grad_norm: 6.4373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9694 loss: 0.9694 2022/08/04 15:52:47 - mmengine - INFO - Epoch(train) [134][280/1879] lr: 1.0000e-03 eta: 1 day, 3:42:39 time: 0.4353 data_time: 0.0190 memory: 17087 grad_norm: 6.1366 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9540 loss: 0.9540 2022/08/04 15:52:56 - mmengine - INFO - Epoch(train) [134][300/1879] lr: 1.0000e-03 eta: 1 day, 3:42:30 time: 0.4297 data_time: 0.0143 memory: 17087 grad_norm: 6.3573 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9815 loss: 0.9815 2022/08/04 15:53:05 - mmengine - INFO - Epoch(train) [134][320/1879] lr: 1.0000e-03 eta: 1 day, 3:42:22 time: 0.4555 data_time: 0.0163 memory: 17087 grad_norm: 6.4544 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8998 loss: 0.8998 2022/08/04 15:53:14 - mmengine - INFO - Epoch(train) [134][340/1879] lr: 1.0000e-03 eta: 1 day, 3:42:13 time: 0.4303 data_time: 0.0172 memory: 17087 grad_norm: 6.4743 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9578 loss: 0.9578 2022/08/04 15:53:23 - mmengine - INFO - Epoch(train) [134][360/1879] lr: 1.0000e-03 eta: 1 day, 3:42:05 time: 0.4600 data_time: 0.0173 memory: 17087 grad_norm: 6.3556 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 1.0565 loss: 1.0565 2022/08/04 15:53:32 - mmengine - INFO - Epoch(train) [134][380/1879] lr: 1.0000e-03 eta: 1 day, 3:41:57 time: 0.4330 data_time: 0.0147 memory: 17087 grad_norm: 6.3731 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8309 loss: 0.8309 2022/08/04 15:53:40 - mmengine - INFO - Epoch(train) [134][400/1879] lr: 1.0000e-03 eta: 1 day, 3:41:48 time: 0.4300 data_time: 0.0163 memory: 17087 grad_norm: 6.3187 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0684 loss: 1.0684 2022/08/04 15:53:49 - mmengine - INFO - Epoch(train) [134][420/1879] lr: 1.0000e-03 eta: 1 day, 3:41:40 time: 0.4431 data_time: 0.0161 memory: 17087 grad_norm: 6.2490 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0056 loss: 1.0056 2022/08/04 15:53:58 - mmengine - INFO - Epoch(train) [134][440/1879] lr: 1.0000e-03 eta: 1 day, 3:41:31 time: 0.4298 data_time: 0.0173 memory: 17087 grad_norm: 6.3430 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0941 loss: 1.0941 2022/08/04 15:54:06 - mmengine - INFO - Epoch(train) [134][460/1879] lr: 1.0000e-03 eta: 1 day, 3:41:22 time: 0.4321 data_time: 0.0151 memory: 17087 grad_norm: 6.2827 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7892 loss: 0.7892 2022/08/04 15:54:15 - mmengine - INFO - Epoch(train) [134][480/1879] lr: 1.0000e-03 eta: 1 day, 3:41:14 time: 0.4346 data_time: 0.0172 memory: 17087 grad_norm: 6.4411 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9826 loss: 0.9826 2022/08/04 15:54:24 - mmengine - INFO - Epoch(train) [134][500/1879] lr: 1.0000e-03 eta: 1 day, 3:41:05 time: 0.4537 data_time: 0.0162 memory: 17087 grad_norm: 6.3158 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8773 loss: 0.8773 2022/08/04 15:54:33 - mmengine - INFO - Epoch(train) [134][520/1879] lr: 1.0000e-03 eta: 1 day, 3:40:57 time: 0.4300 data_time: 0.0158 memory: 17087 grad_norm: 6.2729 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9204 loss: 0.9204 2022/08/04 15:54:42 - mmengine - INFO - Epoch(train) [134][540/1879] lr: 1.0000e-03 eta: 1 day, 3:40:49 time: 0.4603 data_time: 0.0161 memory: 17087 grad_norm: 6.2263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0709 loss: 1.0709 2022/08/04 15:54:50 - mmengine - INFO - Epoch(train) [134][560/1879] lr: 1.0000e-03 eta: 1 day, 3:40:40 time: 0.4275 data_time: 0.0154 memory: 17087 grad_norm: 6.6130 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0447 loss: 1.0447 2022/08/04 15:54:59 - mmengine - INFO - Epoch(train) [134][580/1879] lr: 1.0000e-03 eta: 1 day, 3:40:31 time: 0.4326 data_time: 0.0204 memory: 17087 grad_norm: 6.3047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8937 loss: 0.8937 2022/08/04 15:55:08 - mmengine - INFO - Epoch(train) [134][600/1879] lr: 1.0000e-03 eta: 1 day, 3:40:23 time: 0.4565 data_time: 0.0164 memory: 17087 grad_norm: 6.6067 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9697 loss: 0.9697 2022/08/04 15:55:17 - mmengine - INFO - Epoch(train) [134][620/1879] lr: 1.0000e-03 eta: 1 day, 3:40:14 time: 0.4353 data_time: 0.0206 memory: 17087 grad_norm: 6.3653 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0167 loss: 1.0167 2022/08/04 15:55:26 - mmengine - INFO - Epoch(train) [134][640/1879] lr: 1.0000e-03 eta: 1 day, 3:40:06 time: 0.4659 data_time: 0.0170 memory: 17087 grad_norm: 6.3346 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8414 loss: 0.8414 2022/08/04 15:55:35 - mmengine - INFO - Epoch(train) [134][660/1879] lr: 1.0000e-03 eta: 1 day, 3:39:58 time: 0.4266 data_time: 0.0151 memory: 17087 grad_norm: 6.2470 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9365 loss: 0.9365 2022/08/04 15:55:44 - mmengine - INFO - Epoch(train) [134][680/1879] lr: 1.0000e-03 eta: 1 day, 3:39:50 time: 0.4683 data_time: 0.0173 memory: 17087 grad_norm: 6.5264 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0545 loss: 1.0545 2022/08/04 15:55:53 - mmengine - INFO - Epoch(train) [134][700/1879] lr: 1.0000e-03 eta: 1 day, 3:39:41 time: 0.4276 data_time: 0.0153 memory: 17087 grad_norm: 6.5016 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.9427 loss: 0.9427 2022/08/04 15:56:02 - mmengine - INFO - Epoch(train) [134][720/1879] lr: 1.0000e-03 eta: 1 day, 3:39:32 time: 0.4342 data_time: 0.0171 memory: 17087 grad_norm: 6.2828 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8393 loss: 0.8393 2022/08/04 15:56:10 - mmengine - INFO - Epoch(train) [134][740/1879] lr: 1.0000e-03 eta: 1 day, 3:39:24 time: 0.4274 data_time: 0.0143 memory: 17087 grad_norm: 6.2383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8906 loss: 0.8906 2022/08/04 15:56:19 - mmengine - INFO - Epoch(train) [134][760/1879] lr: 1.0000e-03 eta: 1 day, 3:39:15 time: 0.4361 data_time: 0.0215 memory: 17087 grad_norm: 6.3960 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9973 loss: 0.9973 2022/08/04 15:56:28 - mmengine - INFO - Epoch(train) [134][780/1879] lr: 1.0000e-03 eta: 1 day, 3:39:07 time: 0.4775 data_time: 0.0172 memory: 17087 grad_norm: 6.3377 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9635 loss: 0.9635 2022/08/04 15:56:37 - mmengine - INFO - Epoch(train) [134][800/1879] lr: 1.0000e-03 eta: 1 day, 3:38:59 time: 0.4347 data_time: 0.0221 memory: 17087 grad_norm: 6.3344 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7940 loss: 0.7940 2022/08/04 15:56:46 - mmengine - INFO - Epoch(train) [134][820/1879] lr: 1.0000e-03 eta: 1 day, 3:38:50 time: 0.4454 data_time: 0.0165 memory: 17087 grad_norm: 6.5137 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1392 loss: 1.1392 2022/08/04 15:56:55 - mmengine - INFO - Epoch(train) [134][840/1879] lr: 1.0000e-03 eta: 1 day, 3:38:42 time: 0.4331 data_time: 0.0181 memory: 17087 grad_norm: 6.2534 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0253 loss: 1.0253 2022/08/04 15:57:04 - mmengine - INFO - Epoch(train) [134][860/1879] lr: 1.0000e-03 eta: 1 day, 3:38:33 time: 0.4553 data_time: 0.0200 memory: 17087 grad_norm: 6.3063 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0288 loss: 1.0288 2022/08/04 15:57:13 - mmengine - INFO - Epoch(train) [134][880/1879] lr: 1.0000e-03 eta: 1 day, 3:38:25 time: 0.4349 data_time: 0.0156 memory: 17087 grad_norm: 6.1841 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9386 loss: 0.9386 2022/08/04 15:57:22 - mmengine - INFO - Epoch(train) [134][900/1879] lr: 1.0000e-03 eta: 1 day, 3:38:17 time: 0.4546 data_time: 0.0159 memory: 17087 grad_norm: 6.3924 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0771 loss: 1.0771 2022/08/04 15:57:30 - mmengine - INFO - Epoch(train) [134][920/1879] lr: 1.0000e-03 eta: 1 day, 3:38:08 time: 0.4332 data_time: 0.0184 memory: 17087 grad_norm: 6.4644 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9739 loss: 0.9739 2022/08/04 15:57:39 - mmengine - INFO - Epoch(train) [134][940/1879] lr: 1.0000e-03 eta: 1 day, 3:37:59 time: 0.4292 data_time: 0.0172 memory: 17087 grad_norm: 6.5253 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.2274 loss: 1.2274 2022/08/04 15:57:48 - mmengine - INFO - Epoch(train) [134][960/1879] lr: 1.0000e-03 eta: 1 day, 3:37:51 time: 0.4526 data_time: 0.0176 memory: 17087 grad_norm: 6.2457 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9425 loss: 0.9425 2022/08/04 15:57:57 - mmengine - INFO - Epoch(train) [134][980/1879] lr: 1.0000e-03 eta: 1 day, 3:37:42 time: 0.4279 data_time: 0.0153 memory: 17087 grad_norm: 6.3087 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9108 loss: 0.9108 2022/08/04 15:58:06 - mmengine - INFO - Epoch(train) [134][1000/1879] lr: 1.0000e-03 eta: 1 day, 3:37:34 time: 0.4794 data_time: 0.0161 memory: 17087 grad_norm: 6.1388 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8349 loss: 0.8349 2022/08/04 15:58:15 - mmengine - INFO - Epoch(train) [134][1020/1879] lr: 1.0000e-03 eta: 1 day, 3:37:26 time: 0.4295 data_time: 0.0162 memory: 17087 grad_norm: 6.2741 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9787 loss: 0.9787 2022/08/04 15:58:24 - mmengine - INFO - Epoch(train) [134][1040/1879] lr: 1.0000e-03 eta: 1 day, 3:37:18 time: 0.4745 data_time: 0.0153 memory: 17087 grad_norm: 6.4916 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0679 loss: 1.0679 2022/08/04 15:58:33 - mmengine - INFO - Epoch(train) [134][1060/1879] lr: 1.0000e-03 eta: 1 day, 3:37:09 time: 0.4296 data_time: 0.0153 memory: 17087 grad_norm: 6.5094 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9979 loss: 0.9979 2022/08/04 15:58:42 - mmengine - INFO - Epoch(train) [134][1080/1879] lr: 1.0000e-03 eta: 1 day, 3:37:01 time: 0.4328 data_time: 0.0178 memory: 17087 grad_norm: 6.1760 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7642 loss: 0.7642 2022/08/04 15:58:47 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 15:58:50 - mmengine - INFO - Epoch(train) [134][1100/1879] lr: 1.0000e-03 eta: 1 day, 3:36:52 time: 0.4298 data_time: 0.0156 memory: 17087 grad_norm: 6.5522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9679 loss: 0.9679 2022/08/04 15:58:59 - mmengine - INFO - Epoch(train) [134][1120/1879] lr: 1.0000e-03 eta: 1 day, 3:36:43 time: 0.4327 data_time: 0.0160 memory: 17087 grad_norm: 6.4068 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9124 loss: 0.9124 2022/08/04 15:59:08 - mmengine - INFO - Epoch(train) [134][1140/1879] lr: 1.0000e-03 eta: 1 day, 3:36:35 time: 0.4628 data_time: 0.0154 memory: 17087 grad_norm: 6.5146 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0394 loss: 1.0394 2022/08/04 15:59:17 - mmengine - INFO - Epoch(train) [134][1160/1879] lr: 1.0000e-03 eta: 1 day, 3:36:26 time: 0.4294 data_time: 0.0162 memory: 17087 grad_norm: 6.4298 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9654 loss: 0.9654 2022/08/04 15:59:26 - mmengine - INFO - Epoch(train) [134][1180/1879] lr: 1.0000e-03 eta: 1 day, 3:36:18 time: 0.4454 data_time: 0.0165 memory: 17087 grad_norm: 6.4393 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9239 loss: 0.9239 2022/08/04 15:59:34 - mmengine - INFO - Epoch(train) [134][1200/1879] lr: 1.0000e-03 eta: 1 day, 3:36:09 time: 0.4330 data_time: 0.0153 memory: 17087 grad_norm: 6.3617 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9564 loss: 0.9564 2022/08/04 15:59:43 - mmengine - INFO - Epoch(train) [134][1220/1879] lr: 1.0000e-03 eta: 1 day, 3:36:01 time: 0.4393 data_time: 0.0178 memory: 17087 grad_norm: 6.4131 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8672 loss: 0.8672 2022/08/04 15:59:52 - mmengine - INFO - Epoch(train) [134][1240/1879] lr: 1.0000e-03 eta: 1 day, 3:35:52 time: 0.4315 data_time: 0.0172 memory: 17087 grad_norm: 6.4275 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8197 loss: 0.8197 2022/08/04 16:00:00 - mmengine - INFO - Epoch(train) [134][1260/1879] lr: 1.0000e-03 eta: 1 day, 3:35:43 time: 0.4269 data_time: 0.0139 memory: 17087 grad_norm: 6.4778 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8175 loss: 0.8175 2022/08/04 16:00:09 - mmengine - INFO - Epoch(train) [134][1280/1879] lr: 1.0000e-03 eta: 1 day, 3:35:35 time: 0.4359 data_time: 0.0168 memory: 17087 grad_norm: 6.4382 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.2092 loss: 1.2092 2022/08/04 16:00:18 - mmengine - INFO - Epoch(train) [134][1300/1879] lr: 1.0000e-03 eta: 1 day, 3:35:26 time: 0.4425 data_time: 0.0155 memory: 17087 grad_norm: 6.4384 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9836 loss: 0.9836 2022/08/04 16:00:27 - mmengine - INFO - Epoch(train) [134][1320/1879] lr: 1.0000e-03 eta: 1 day, 3:35:19 time: 0.4695 data_time: 0.0164 memory: 17087 grad_norm: 6.4867 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7964 loss: 0.7964 2022/08/04 16:00:36 - mmengine - INFO - Epoch(train) [134][1340/1879] lr: 1.0000e-03 eta: 1 day, 3:35:10 time: 0.4362 data_time: 0.0229 memory: 17087 grad_norm: 6.4851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9162 loss: 0.9162 2022/08/04 16:00:45 - mmengine - INFO - Epoch(train) [134][1360/1879] lr: 1.0000e-03 eta: 1 day, 3:35:01 time: 0.4420 data_time: 0.0159 memory: 17087 grad_norm: 6.4109 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8147 loss: 0.8147 2022/08/04 16:00:54 - mmengine - INFO - Epoch(train) [134][1380/1879] lr: 1.0000e-03 eta: 1 day, 3:34:53 time: 0.4482 data_time: 0.0149 memory: 17087 grad_norm: 6.5481 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1173 loss: 1.1173 2022/08/04 16:01:03 - mmengine - INFO - Epoch(train) [134][1400/1879] lr: 1.0000e-03 eta: 1 day, 3:34:44 time: 0.4306 data_time: 0.0157 memory: 17087 grad_norm: 6.4960 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.1325 loss: 1.1325 2022/08/04 16:01:11 - mmengine - INFO - Epoch(train) [134][1420/1879] lr: 1.0000e-03 eta: 1 day, 3:34:36 time: 0.4293 data_time: 0.0153 memory: 17087 grad_norm: 6.3165 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8886 loss: 0.8886 2022/08/04 16:01:20 - mmengine - INFO - Epoch(train) [134][1440/1879] lr: 1.0000e-03 eta: 1 day, 3:34:27 time: 0.4318 data_time: 0.0183 memory: 17087 grad_norm: 6.2297 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8282 loss: 0.8282 2022/08/04 16:01:28 - mmengine - INFO - Epoch(train) [134][1460/1879] lr: 1.0000e-03 eta: 1 day, 3:34:18 time: 0.4278 data_time: 0.0149 memory: 17087 grad_norm: 6.4078 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9637 loss: 0.9637 2022/08/04 16:01:37 - mmengine - INFO - Epoch(train) [134][1480/1879] lr: 1.0000e-03 eta: 1 day, 3:34:10 time: 0.4300 data_time: 0.0188 memory: 17087 grad_norm: 6.6369 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0396 loss: 1.0396 2022/08/04 16:01:46 - mmengine - INFO - Epoch(train) [134][1500/1879] lr: 1.0000e-03 eta: 1 day, 3:34:01 time: 0.4319 data_time: 0.0147 memory: 17087 grad_norm: 6.2766 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9568 loss: 0.9568 2022/08/04 16:01:54 - mmengine - INFO - Epoch(train) [134][1520/1879] lr: 1.0000e-03 eta: 1 day, 3:33:52 time: 0.4314 data_time: 0.0188 memory: 17087 grad_norm: 6.3560 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1022 loss: 1.1022 2022/08/04 16:02:03 - mmengine - INFO - Epoch(train) [134][1540/1879] lr: 1.0000e-03 eta: 1 day, 3:33:44 time: 0.4343 data_time: 0.0155 memory: 17087 grad_norm: 6.4977 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9475 loss: 0.9475 2022/08/04 16:02:12 - mmengine - INFO - Epoch(train) [134][1560/1879] lr: 1.0000e-03 eta: 1 day, 3:33:36 time: 0.4532 data_time: 0.0172 memory: 17087 grad_norm: 6.3014 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0060 loss: 1.0060 2022/08/04 16:02:21 - mmengine - INFO - Epoch(train) [134][1580/1879] lr: 1.0000e-03 eta: 1 day, 3:33:27 time: 0.4272 data_time: 0.0148 memory: 17087 grad_norm: 6.2948 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8313 loss: 0.8313 2022/08/04 16:02:29 - mmengine - INFO - Epoch(train) [134][1600/1879] lr: 1.0000e-03 eta: 1 day, 3:33:18 time: 0.4380 data_time: 0.0154 memory: 17087 grad_norm: 6.5267 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8428 loss: 0.8428 2022/08/04 16:02:38 - mmengine - INFO - Epoch(train) [134][1620/1879] lr: 1.0000e-03 eta: 1 day, 3:33:10 time: 0.4368 data_time: 0.0172 memory: 17087 grad_norm: 6.7336 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.1500 loss: 1.1500 2022/08/04 16:02:47 - mmengine - INFO - Epoch(train) [134][1640/1879] lr: 1.0000e-03 eta: 1 day, 3:33:01 time: 0.4531 data_time: 0.0175 memory: 17087 grad_norm: 6.5135 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9511 loss: 0.9511 2022/08/04 16:02:56 - mmengine - INFO - Epoch(train) [134][1660/1879] lr: 1.0000e-03 eta: 1 day, 3:32:53 time: 0.4300 data_time: 0.0154 memory: 17087 grad_norm: 6.5906 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8882 loss: 0.8882 2022/08/04 16:03:05 - mmengine - INFO - Epoch(train) [134][1680/1879] lr: 1.0000e-03 eta: 1 day, 3:32:45 time: 0.4618 data_time: 0.0180 memory: 17087 grad_norm: 6.5809 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9281 loss: 0.9281 2022/08/04 16:03:14 - mmengine - INFO - Epoch(train) [134][1700/1879] lr: 1.0000e-03 eta: 1 day, 3:32:36 time: 0.4346 data_time: 0.0230 memory: 17087 grad_norm: 6.4172 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8640 loss: 0.8640 2022/08/04 16:03:23 - mmengine - INFO - Epoch(train) [134][1720/1879] lr: 1.0000e-03 eta: 1 day, 3:32:27 time: 0.4340 data_time: 0.0168 memory: 17087 grad_norm: 6.5402 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0171 loss: 1.0171 2022/08/04 16:03:31 - mmengine - INFO - Epoch(train) [134][1740/1879] lr: 1.0000e-03 eta: 1 day, 3:32:19 time: 0.4308 data_time: 0.0181 memory: 17087 grad_norm: 6.6403 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0815 loss: 1.0815 2022/08/04 16:03:40 - mmengine - INFO - Epoch(train) [134][1760/1879] lr: 1.0000e-03 eta: 1 day, 3:32:10 time: 0.4333 data_time: 0.0176 memory: 17087 grad_norm: 6.4968 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9352 loss: 0.9352 2022/08/04 16:03:49 - mmengine - INFO - Epoch(train) [134][1780/1879] lr: 1.0000e-03 eta: 1 day, 3:32:02 time: 0.4518 data_time: 0.0152 memory: 17087 grad_norm: 6.3735 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9875 loss: 0.9875 2022/08/04 16:03:58 - mmengine - INFO - Epoch(train) [134][1800/1879] lr: 1.0000e-03 eta: 1 day, 3:31:53 time: 0.4444 data_time: 0.0169 memory: 17087 grad_norm: 6.4343 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0893 loss: 1.0893 2022/08/04 16:04:06 - mmengine - INFO - Epoch(train) [134][1820/1879] lr: 1.0000e-03 eta: 1 day, 3:31:45 time: 0.4287 data_time: 0.0157 memory: 17087 grad_norm: 6.8482 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.1358 loss: 1.1358 2022/08/04 16:04:15 - mmengine - INFO - Epoch(train) [134][1840/1879] lr: 1.0000e-03 eta: 1 day, 3:31:36 time: 0.4405 data_time: 0.0156 memory: 17087 grad_norm: 6.4379 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8713 loss: 0.8713 2022/08/04 16:04:24 - mmengine - INFO - Epoch(train) [134][1860/1879] lr: 1.0000e-03 eta: 1 day, 3:31:28 time: 0.4322 data_time: 0.0161 memory: 17087 grad_norm: 6.2502 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0606 loss: 1.0606 2022/08/04 16:04:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 16:04:32 - mmengine - INFO - Epoch(train) [134][1879/1879] lr: 1.0000e-03 eta: 1 day, 3:31:28 time: 0.4095 data_time: 0.0139 memory: 17087 grad_norm: 6.7009 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0275 loss: 1.0275 2022/08/04 16:04:43 - mmengine - INFO - Epoch(train) [135][20/1879] lr: 1.0000e-03 eta: 1 day, 3:31:06 time: 0.5855 data_time: 0.1349 memory: 17087 grad_norm: 6.5131 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0287 loss: 1.0287 2022/08/04 16:04:52 - mmengine - INFO - Epoch(train) [135][40/1879] lr: 1.0000e-03 eta: 1 day, 3:30:58 time: 0.4443 data_time: 0.0184 memory: 17087 grad_norm: 6.4859 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9133 loss: 0.9133 2022/08/04 16:05:01 - mmengine - INFO - Epoch(train) [135][60/1879] lr: 1.0000e-03 eta: 1 day, 3:30:49 time: 0.4274 data_time: 0.0157 memory: 17087 grad_norm: 6.6480 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8811 loss: 0.8811 2022/08/04 16:05:09 - mmengine - INFO - Epoch(train) [135][80/1879] lr: 1.0000e-03 eta: 1 day, 3:30:40 time: 0.4313 data_time: 0.0181 memory: 17087 grad_norm: 6.2559 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8999 loss: 0.8999 2022/08/04 16:05:19 - mmengine - INFO - Epoch(train) [135][100/1879] lr: 1.0000e-03 eta: 1 day, 3:30:32 time: 0.4619 data_time: 0.0167 memory: 17087 grad_norm: 6.6929 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9004 loss: 0.9004 2022/08/04 16:05:27 - mmengine - INFO - Epoch(train) [135][120/1879] lr: 1.0000e-03 eta: 1 day, 3:30:23 time: 0.4340 data_time: 0.0167 memory: 17087 grad_norm: 6.0709 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8574 loss: 0.8574 2022/08/04 16:05:37 - mmengine - INFO - Epoch(train) [135][140/1879] lr: 1.0000e-03 eta: 1 day, 3:30:16 time: 0.4824 data_time: 0.0185 memory: 17087 grad_norm: 6.4495 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8312 loss: 0.8312 2022/08/04 16:05:46 - mmengine - INFO - Epoch(train) [135][160/1879] lr: 1.0000e-03 eta: 1 day, 3:30:07 time: 0.4362 data_time: 0.0172 memory: 17087 grad_norm: 6.5498 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9398 loss: 0.9398 2022/08/04 16:05:55 - mmengine - INFO - Epoch(train) [135][180/1879] lr: 1.0000e-03 eta: 1 day, 3:29:59 time: 0.4569 data_time: 0.0165 memory: 17087 grad_norm: 6.6113 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8303 loss: 0.8303 2022/08/04 16:06:04 - mmengine - INFO - Epoch(train) [135][200/1879] lr: 1.0000e-03 eta: 1 day, 3:29:51 time: 0.4738 data_time: 0.0626 memory: 17087 grad_norm: 6.4583 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7367 loss: 0.7367 2022/08/04 16:06:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 16:06:14 - mmengine - INFO - Epoch(train) [135][220/1879] lr: 1.0000e-03 eta: 1 day, 3:29:43 time: 0.4656 data_time: 0.0168 memory: 17087 grad_norm: 6.4322 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7081 loss: 0.7081 2022/08/04 16:06:22 - mmengine - INFO - Epoch(train) [135][240/1879] lr: 1.0000e-03 eta: 1 day, 3:29:34 time: 0.4326 data_time: 0.0167 memory: 17087 grad_norm: 6.3508 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9318 loss: 0.9318 2022/08/04 16:06:31 - mmengine - INFO - Epoch(train) [135][260/1879] lr: 1.0000e-03 eta: 1 day, 3:29:26 time: 0.4284 data_time: 0.0153 memory: 17087 grad_norm: 6.4387 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9642 loss: 0.9642 2022/08/04 16:06:40 - mmengine - INFO - Epoch(train) [135][280/1879] lr: 1.0000e-03 eta: 1 day, 3:29:18 time: 0.4657 data_time: 0.0175 memory: 17087 grad_norm: 6.5108 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8814 loss: 0.8814 2022/08/04 16:06:49 - mmengine - INFO - Epoch(train) [135][300/1879] lr: 1.0000e-03 eta: 1 day, 3:29:09 time: 0.4314 data_time: 0.0159 memory: 17087 grad_norm: 6.3288 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0504 loss: 1.0504 2022/08/04 16:06:58 - mmengine - INFO - Epoch(train) [135][320/1879] lr: 1.0000e-03 eta: 1 day, 3:29:01 time: 0.4403 data_time: 0.0169 memory: 17087 grad_norm: 6.4108 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8764 loss: 0.8764 2022/08/04 16:07:06 - mmengine - INFO - Epoch(train) [135][340/1879] lr: 1.0000e-03 eta: 1 day, 3:28:52 time: 0.4277 data_time: 0.0162 memory: 17087 grad_norm: 6.2506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9258 loss: 0.9258 2022/08/04 16:07:16 - mmengine - INFO - Epoch(train) [135][360/1879] lr: 1.0000e-03 eta: 1 day, 3:28:44 time: 0.4763 data_time: 0.0175 memory: 17087 grad_norm: 6.5536 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8315 loss: 0.8315 2022/08/04 16:07:25 - mmengine - INFO - Epoch(train) [135][380/1879] lr: 1.0000e-03 eta: 1 day, 3:28:35 time: 0.4281 data_time: 0.0156 memory: 17087 grad_norm: 6.2808 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8363 loss: 0.8363 2022/08/04 16:07:34 - mmengine - INFO - Epoch(train) [135][400/1879] lr: 1.0000e-03 eta: 1 day, 3:28:27 time: 0.4597 data_time: 0.0173 memory: 17087 grad_norm: 6.6448 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8804 loss: 0.8804 2022/08/04 16:07:42 - mmengine - INFO - Epoch(train) [135][420/1879] lr: 1.0000e-03 eta: 1 day, 3:28:18 time: 0.4276 data_time: 0.0151 memory: 17087 grad_norm: 6.5231 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9582 loss: 0.9582 2022/08/04 16:07:51 - mmengine - INFO - Epoch(train) [135][440/1879] lr: 1.0000e-03 eta: 1 day, 3:28:10 time: 0.4287 data_time: 0.0167 memory: 17087 grad_norm: 6.5636 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0548 loss: 1.0548 2022/08/04 16:08:00 - mmengine - INFO - Epoch(train) [135][460/1879] lr: 1.0000e-03 eta: 1 day, 3:28:01 time: 0.4400 data_time: 0.0175 memory: 17087 grad_norm: 6.4528 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0478 loss: 1.0478 2022/08/04 16:08:08 - mmengine - INFO - Epoch(train) [135][480/1879] lr: 1.0000e-03 eta: 1 day, 3:27:52 time: 0.4295 data_time: 0.0157 memory: 17087 grad_norm: 6.6132 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8258 loss: 0.8258 2022/08/04 16:08:17 - mmengine - INFO - Epoch(train) [135][500/1879] lr: 1.0000e-03 eta: 1 day, 3:27:44 time: 0.4397 data_time: 0.0167 memory: 17087 grad_norm: 6.3826 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9788 loss: 0.9788 2022/08/04 16:08:26 - mmengine - INFO - Epoch(train) [135][520/1879] lr: 1.0000e-03 eta: 1 day, 3:27:35 time: 0.4301 data_time: 0.0168 memory: 17087 grad_norm: 6.3938 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9002 loss: 0.9002 2022/08/04 16:08:35 - mmengine - INFO - Epoch(train) [135][540/1879] lr: 1.0000e-03 eta: 1 day, 3:27:27 time: 0.4697 data_time: 0.0169 memory: 17087 grad_norm: 6.3457 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9886 loss: 0.9886 2022/08/04 16:08:44 - mmengine - INFO - Epoch(train) [135][560/1879] lr: 1.0000e-03 eta: 1 day, 3:27:19 time: 0.4280 data_time: 0.0158 memory: 17087 grad_norm: 6.4628 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8524 loss: 0.8524 2022/08/04 16:08:53 - mmengine - INFO - Epoch(train) [135][580/1879] lr: 1.0000e-03 eta: 1 day, 3:27:11 time: 0.4658 data_time: 0.0152 memory: 17087 grad_norm: 6.4316 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8994 loss: 0.8994 2022/08/04 16:09:02 - mmengine - INFO - Epoch(train) [135][600/1879] lr: 1.0000e-03 eta: 1 day, 3:27:02 time: 0.4290 data_time: 0.0164 memory: 17087 grad_norm: 6.3798 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9125 loss: 0.9125 2022/08/04 16:09:10 - mmengine - INFO - Epoch(train) [135][620/1879] lr: 1.0000e-03 eta: 1 day, 3:26:53 time: 0.4276 data_time: 0.0141 memory: 17087 grad_norm: 6.4855 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0303 loss: 1.0303 2022/08/04 16:09:19 - mmengine - INFO - Epoch(train) [135][640/1879] lr: 1.0000e-03 eta: 1 day, 3:26:45 time: 0.4409 data_time: 0.0179 memory: 17087 grad_norm: 6.4506 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9481 loss: 0.9481 2022/08/04 16:09:28 - mmengine - INFO - Epoch(train) [135][660/1879] lr: 1.0000e-03 eta: 1 day, 3:26:36 time: 0.4293 data_time: 0.0165 memory: 17087 grad_norm: 6.3445 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9338 loss: 0.9338 2022/08/04 16:09:36 - mmengine - INFO - Epoch(train) [135][680/1879] lr: 1.0000e-03 eta: 1 day, 3:26:27 time: 0.4300 data_time: 0.0152 memory: 17087 grad_norm: 6.3029 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9857 loss: 0.9857 2022/08/04 16:09:46 - mmengine - INFO - Epoch(train) [135][700/1879] lr: 1.0000e-03 eta: 1 day, 3:26:19 time: 0.4691 data_time: 0.0259 memory: 17087 grad_norm: 6.5502 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1353 loss: 1.1353 2022/08/04 16:09:54 - mmengine - INFO - Epoch(train) [135][720/1879] lr: 1.0000e-03 eta: 1 day, 3:26:11 time: 0.4321 data_time: 0.0199 memory: 17087 grad_norm: 6.4738 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9905 loss: 0.9905 2022/08/04 16:10:03 - mmengine - INFO - Epoch(train) [135][740/1879] lr: 1.0000e-03 eta: 1 day, 3:26:02 time: 0.4555 data_time: 0.0170 memory: 17087 grad_norm: 6.6481 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9713 loss: 0.9713 2022/08/04 16:10:12 - mmengine - INFO - Epoch(train) [135][760/1879] lr: 1.0000e-03 eta: 1 day, 3:25:54 time: 0.4281 data_time: 0.0157 memory: 17087 grad_norm: 6.4150 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9411 loss: 0.9411 2022/08/04 16:10:21 - mmengine - INFO - Epoch(train) [135][780/1879] lr: 1.0000e-03 eta: 1 day, 3:25:45 time: 0.4299 data_time: 0.0184 memory: 17087 grad_norm: 6.4636 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1419 loss: 1.1419 2022/08/04 16:10:30 - mmengine - INFO - Epoch(train) [135][800/1879] lr: 1.0000e-03 eta: 1 day, 3:25:37 time: 0.4518 data_time: 0.0165 memory: 17087 grad_norm: 6.6539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.2084 loss: 1.2084 2022/08/04 16:10:38 - mmengine - INFO - Epoch(train) [135][820/1879] lr: 1.0000e-03 eta: 1 day, 3:25:28 time: 0.4370 data_time: 0.0160 memory: 17087 grad_norm: 6.3284 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9307 loss: 0.9307 2022/08/04 16:10:48 - mmengine - INFO - Epoch(train) [135][840/1879] lr: 1.0000e-03 eta: 1 day, 3:25:20 time: 0.4544 data_time: 0.0177 memory: 17087 grad_norm: 6.3074 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9606 loss: 0.9606 2022/08/04 16:10:56 - mmengine - INFO - Epoch(train) [135][860/1879] lr: 1.0000e-03 eta: 1 day, 3:25:11 time: 0.4289 data_time: 0.0155 memory: 17087 grad_norm: 6.6116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8807 loss: 0.8807 2022/08/04 16:11:05 - mmengine - INFO - Epoch(train) [135][880/1879] lr: 1.0000e-03 eta: 1 day, 3:25:03 time: 0.4527 data_time: 0.0165 memory: 17087 grad_norm: 6.5645 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8325 loss: 0.8325 2022/08/04 16:11:14 - mmengine - INFO - Epoch(train) [135][900/1879] lr: 1.0000e-03 eta: 1 day, 3:24:54 time: 0.4307 data_time: 0.0153 memory: 17087 grad_norm: 6.5870 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8098 loss: 0.8098 2022/08/04 16:11:23 - mmengine - INFO - Epoch(train) [135][920/1879] lr: 1.0000e-03 eta: 1 day, 3:24:46 time: 0.4547 data_time: 0.0163 memory: 17087 grad_norm: 6.7519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0954 loss: 1.0954 2022/08/04 16:11:32 - mmengine - INFO - Epoch(train) [135][940/1879] lr: 1.0000e-03 eta: 1 day, 3:24:37 time: 0.4283 data_time: 0.0134 memory: 17087 grad_norm: 6.3783 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8114 loss: 0.8114 2022/08/04 16:11:40 - mmengine - INFO - Epoch(train) [135][960/1879] lr: 1.0000e-03 eta: 1 day, 3:24:29 time: 0.4314 data_time: 0.0158 memory: 17087 grad_norm: 6.2885 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9528 loss: 0.9528 2022/08/04 16:11:49 - mmengine - INFO - Epoch(train) [135][980/1879] lr: 1.0000e-03 eta: 1 day, 3:24:20 time: 0.4375 data_time: 0.0152 memory: 17087 grad_norm: 6.2461 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8272 loss: 0.8272 2022/08/04 16:11:58 - mmengine - INFO - Epoch(train) [135][1000/1879] lr: 1.0000e-03 eta: 1 day, 3:24:11 time: 0.4286 data_time: 0.0151 memory: 17087 grad_norm: 6.4990 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8667 loss: 0.8667 2022/08/04 16:12:07 - mmengine - INFO - Epoch(train) [135][1020/1879] lr: 1.0000e-03 eta: 1 day, 3:24:03 time: 0.4489 data_time: 0.0175 memory: 17087 grad_norm: 6.5797 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8203 loss: 0.8203 2022/08/04 16:12:15 - mmengine - INFO - Epoch(train) [135][1040/1879] lr: 1.0000e-03 eta: 1 day, 3:23:54 time: 0.4297 data_time: 0.0154 memory: 17087 grad_norm: 6.4310 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8930 loss: 0.8930 2022/08/04 16:12:24 - mmengine - INFO - Epoch(train) [135][1060/1879] lr: 1.0000e-03 eta: 1 day, 3:23:46 time: 0.4552 data_time: 0.0215 memory: 17087 grad_norm: 6.3680 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9134 loss: 0.9134 2022/08/04 16:12:33 - mmengine - INFO - Epoch(train) [135][1080/1879] lr: 1.0000e-03 eta: 1 day, 3:23:37 time: 0.4294 data_time: 0.0155 memory: 17087 grad_norm: 6.3410 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9875 loss: 0.9875 2022/08/04 16:12:41 - mmengine - INFO - Epoch(train) [135][1100/1879] lr: 1.0000e-03 eta: 1 day, 3:23:29 time: 0.4271 data_time: 0.0148 memory: 17087 grad_norm: 6.6096 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8807 loss: 0.8807 2022/08/04 16:12:50 - mmengine - INFO - Epoch(train) [135][1120/1879] lr: 1.0000e-03 eta: 1 day, 3:23:20 time: 0.4501 data_time: 0.0166 memory: 17087 grad_norm: 6.3271 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9814 loss: 0.9814 2022/08/04 16:12:59 - mmengine - INFO - Epoch(train) [135][1140/1879] lr: 1.0000e-03 eta: 1 day, 3:23:12 time: 0.4273 data_time: 0.0159 memory: 17087 grad_norm: 6.6809 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9706 loss: 0.9706 2022/08/04 16:13:08 - mmengine - INFO - Epoch(train) [135][1160/1879] lr: 1.0000e-03 eta: 1 day, 3:23:03 time: 0.4369 data_time: 0.0153 memory: 17087 grad_norm: 6.4847 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9003 loss: 0.9003 2022/08/04 16:13:16 - mmengine - INFO - Epoch(train) [135][1180/1879] lr: 1.0000e-03 eta: 1 day, 3:22:54 time: 0.4289 data_time: 0.0162 memory: 17087 grad_norm: 6.2437 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9567 loss: 0.9567 2022/08/04 16:13:26 - mmengine - INFO - Epoch(train) [135][1200/1879] lr: 1.0000e-03 eta: 1 day, 3:22:47 time: 0.4814 data_time: 0.0185 memory: 17087 grad_norm: 6.6026 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8313 loss: 0.8313 2022/08/04 16:13:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 16:13:35 - mmengine - INFO - Epoch(train) [135][1220/1879] lr: 1.0000e-03 eta: 1 day, 3:22:38 time: 0.4296 data_time: 0.0159 memory: 17087 grad_norm: 6.5540 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9173 loss: 0.9173 2022/08/04 16:13:44 - mmengine - INFO - Epoch(train) [135][1240/1879] lr: 1.0000e-03 eta: 1 day, 3:22:30 time: 0.4556 data_time: 0.0176 memory: 17087 grad_norm: 6.3790 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9390 loss: 0.9390 2022/08/04 16:13:52 - mmengine - INFO - Epoch(train) [135][1260/1879] lr: 1.0000e-03 eta: 1 day, 3:22:21 time: 0.4271 data_time: 0.0156 memory: 17087 grad_norm: 6.3699 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8280 loss: 0.8280 2022/08/04 16:14:01 - mmengine - INFO - Epoch(train) [135][1280/1879] lr: 1.0000e-03 eta: 1 day, 3:22:12 time: 0.4260 data_time: 0.0148 memory: 17087 grad_norm: 6.3371 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9113 loss: 0.9113 2022/08/04 16:14:10 - mmengine - INFO - Epoch(train) [135][1300/1879] lr: 1.0000e-03 eta: 1 day, 3:22:04 time: 0.4337 data_time: 0.0163 memory: 17087 grad_norm: 6.6235 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9416 loss: 0.9416 2022/08/04 16:14:18 - mmengine - INFO - Epoch(train) [135][1320/1879] lr: 1.0000e-03 eta: 1 day, 3:21:55 time: 0.4298 data_time: 0.0163 memory: 17087 grad_norm: 6.6280 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8295 loss: 0.8295 2022/08/04 16:14:27 - mmengine - INFO - Epoch(train) [135][1340/1879] lr: 1.0000e-03 eta: 1 day, 3:21:47 time: 0.4484 data_time: 0.0155 memory: 17087 grad_norm: 6.4246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9327 loss: 0.9327 2022/08/04 16:14:36 - mmengine - INFO - Epoch(train) [135][1360/1879] lr: 1.0000e-03 eta: 1 day, 3:21:38 time: 0.4289 data_time: 0.0171 memory: 17087 grad_norm: 6.4358 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9772 loss: 0.9772 2022/08/04 16:14:45 - mmengine - INFO - Epoch(train) [135][1380/1879] lr: 1.0000e-03 eta: 1 day, 3:21:30 time: 0.4578 data_time: 0.0167 memory: 17087 grad_norm: 6.6338 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0483 loss: 1.0483 2022/08/04 16:14:53 - mmengine - INFO - Epoch(train) [135][1400/1879] lr: 1.0000e-03 eta: 1 day, 3:21:21 time: 0.4290 data_time: 0.0158 memory: 17087 grad_norm: 6.5970 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9297 loss: 0.9297 2022/08/04 16:15:02 - mmengine - INFO - Epoch(train) [135][1420/1879] lr: 1.0000e-03 eta: 1 day, 3:21:12 time: 0.4282 data_time: 0.0148 memory: 17087 grad_norm: 6.6126 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9575 loss: 0.9575 2022/08/04 16:15:11 - mmengine - INFO - Epoch(train) [135][1440/1879] lr: 1.0000e-03 eta: 1 day, 3:21:04 time: 0.4609 data_time: 0.0180 memory: 17087 grad_norm: 6.4820 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7823 loss: 0.7823 2022/08/04 16:15:20 - mmengine - INFO - Epoch(train) [135][1460/1879] lr: 1.0000e-03 eta: 1 day, 3:20:55 time: 0.4275 data_time: 0.0146 memory: 17087 grad_norm: 6.5910 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8039 loss: 0.8039 2022/08/04 16:15:29 - mmengine - INFO - Epoch(train) [135][1480/1879] lr: 1.0000e-03 eta: 1 day, 3:20:47 time: 0.4622 data_time: 0.0156 memory: 17087 grad_norm: 6.5715 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9275 loss: 0.9275 2022/08/04 16:15:38 - mmengine - INFO - Epoch(train) [135][1500/1879] lr: 1.0000e-03 eta: 1 day, 3:20:39 time: 0.4390 data_time: 0.0166 memory: 17087 grad_norm: 6.5157 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9844 loss: 0.9844 2022/08/04 16:15:46 - mmengine - INFO - Epoch(train) [135][1520/1879] lr: 1.0000e-03 eta: 1 day, 3:20:30 time: 0.4273 data_time: 0.0167 memory: 17087 grad_norm: 6.4931 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1345 loss: 1.1345 2022/08/04 16:15:56 - mmengine - INFO - Epoch(train) [135][1540/1879] lr: 1.0000e-03 eta: 1 day, 3:20:22 time: 0.4590 data_time: 0.0152 memory: 17087 grad_norm: 6.7630 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8370 loss: 0.8370 2022/08/04 16:16:04 - mmengine - INFO - Epoch(train) [135][1560/1879] lr: 1.0000e-03 eta: 1 day, 3:20:13 time: 0.4285 data_time: 0.0143 memory: 17087 grad_norm: 6.3883 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0572 loss: 1.0572 2022/08/04 16:16:13 - mmengine - INFO - Epoch(train) [135][1580/1879] lr: 1.0000e-03 eta: 1 day, 3:20:05 time: 0.4624 data_time: 0.0212 memory: 17087 grad_norm: 6.4925 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0449 loss: 1.0449 2022/08/04 16:16:22 - mmengine - INFO - Epoch(train) [135][1600/1879] lr: 1.0000e-03 eta: 1 day, 3:19:56 time: 0.4303 data_time: 0.0148 memory: 17087 grad_norm: 6.3741 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0157 loss: 1.0157 2022/08/04 16:16:31 - mmengine - INFO - Epoch(train) [135][1620/1879] lr: 1.0000e-03 eta: 1 day, 3:19:48 time: 0.4402 data_time: 0.0196 memory: 17087 grad_norm: 6.5385 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9442 loss: 0.9442 2022/08/04 16:16:40 - mmengine - INFO - Epoch(train) [135][1640/1879] lr: 1.0000e-03 eta: 1 day, 3:19:39 time: 0.4294 data_time: 0.0162 memory: 17087 grad_norm: 6.3626 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9540 loss: 0.9540 2022/08/04 16:16:49 - mmengine - INFO - Epoch(train) [135][1660/1879] lr: 1.0000e-03 eta: 1 day, 3:19:31 time: 0.4742 data_time: 0.0171 memory: 17087 grad_norm: 6.6016 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0690 loss: 1.0690 2022/08/04 16:16:58 - mmengine - INFO - Epoch(train) [135][1680/1879] lr: 1.0000e-03 eta: 1 day, 3:19:23 time: 0.4281 data_time: 0.0157 memory: 17087 grad_norm: 6.4384 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8192 loss: 0.8192 2022/08/04 16:17:07 - mmengine - INFO - Epoch(train) [135][1700/1879] lr: 1.0000e-03 eta: 1 day, 3:19:14 time: 0.4472 data_time: 0.0165 memory: 17087 grad_norm: 6.5696 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0186 loss: 1.0186 2022/08/04 16:17:15 - mmengine - INFO - Epoch(train) [135][1720/1879] lr: 1.0000e-03 eta: 1 day, 3:19:05 time: 0.4313 data_time: 0.0180 memory: 17087 grad_norm: 6.3805 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0280 loss: 1.0280 2022/08/04 16:17:24 - mmengine - INFO - Epoch(train) [135][1740/1879] lr: 1.0000e-03 eta: 1 day, 3:18:57 time: 0.4367 data_time: 0.0162 memory: 17087 grad_norm: 6.4618 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9860 loss: 0.9860 2022/08/04 16:17:33 - mmengine - INFO - Epoch(train) [135][1760/1879] lr: 1.0000e-03 eta: 1 day, 3:18:48 time: 0.4303 data_time: 0.0179 memory: 17087 grad_norm: 6.4664 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9212 loss: 0.9212 2022/08/04 16:17:41 - mmengine - INFO - Epoch(train) [135][1780/1879] lr: 1.0000e-03 eta: 1 day, 3:18:39 time: 0.4264 data_time: 0.0151 memory: 17087 grad_norm: 6.4991 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9833 loss: 0.9833 2022/08/04 16:17:50 - mmengine - INFO - Epoch(train) [135][1800/1879] lr: 1.0000e-03 eta: 1 day, 3:18:31 time: 0.4323 data_time: 0.0178 memory: 17087 grad_norm: 6.6620 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2016 loss: 1.2016 2022/08/04 16:17:59 - mmengine - INFO - Epoch(train) [135][1820/1879] lr: 1.0000e-03 eta: 1 day, 3:18:22 time: 0.4356 data_time: 0.0166 memory: 17087 grad_norm: 6.3821 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0591 loss: 1.0591 2022/08/04 16:18:07 - mmengine - INFO - Epoch(train) [135][1840/1879] lr: 1.0000e-03 eta: 1 day, 3:18:14 time: 0.4318 data_time: 0.0151 memory: 17087 grad_norm: 6.5740 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7769 loss: 0.7769 2022/08/04 16:18:16 - mmengine - INFO - Epoch(train) [135][1860/1879] lr: 1.0000e-03 eta: 1 day, 3:18:05 time: 0.4613 data_time: 0.0229 memory: 17087 grad_norm: 6.6667 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8151 loss: 0.8151 2022/08/04 16:18:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 16:18:24 - mmengine - INFO - Epoch(train) [135][1879/1879] lr: 1.0000e-03 eta: 1 day, 3:18:05 time: 0.4195 data_time: 0.0179 memory: 17087 grad_norm: 6.9737 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7711 loss: 0.7711 2022/08/04 16:18:32 - mmengine - INFO - Epoch(val) [135][20/155] eta: 0:00:52 time: 0.3855 data_time: 0.2148 memory: 2821 2022/08/04 16:18:37 - mmengine - INFO - Epoch(val) [135][40/155] eta: 0:00:27 time: 0.2407 data_time: 0.0719 memory: 2821 2022/08/04 16:18:43 - mmengine - INFO - Epoch(val) [135][60/155] eta: 0:00:30 time: 0.3196 data_time: 0.1495 memory: 2821 2022/08/04 16:18:49 - mmengine - INFO - Epoch(val) [135][80/155] eta: 0:00:19 time: 0.2588 data_time: 0.0904 memory: 2821 2022/08/04 16:18:55 - mmengine - INFO - Epoch(val) [135][100/155] eta: 0:00:17 time: 0.3148 data_time: 0.1456 memory: 2821 2022/08/04 16:19:00 - mmengine - INFO - Epoch(val) [135][120/155] eta: 0:00:09 time: 0.2730 data_time: 0.1052 memory: 2821 2022/08/04 16:19:07 - mmengine - INFO - Epoch(val) [135][140/155] eta: 0:00:04 time: 0.3286 data_time: 0.1614 memory: 2821 2022/08/04 16:19:12 - mmengine - INFO - Epoch(val) [135][155/155] acc/top1: 0.6950 acc/top5: 0.8831 acc/mean1: 0.6949 2022/08/04 16:19:23 - mmengine - INFO - Epoch(train) [136][20/1879] lr: 1.0000e-03 eta: 1 day, 3:17:44 time: 0.5706 data_time: 0.1338 memory: 17087 grad_norm: 6.3648 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9435 loss: 0.9435 2022/08/04 16:19:32 - mmengine - INFO - Epoch(train) [136][40/1879] lr: 1.0000e-03 eta: 1 day, 3:17:35 time: 0.4300 data_time: 0.0169 memory: 17087 grad_norm: 6.2960 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9537 loss: 0.9537 2022/08/04 16:19:40 - mmengine - INFO - Epoch(train) [136][60/1879] lr: 1.0000e-03 eta: 1 day, 3:17:26 time: 0.4265 data_time: 0.0131 memory: 17087 grad_norm: 6.4623 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0828 loss: 1.0828 2022/08/04 16:19:49 - mmengine - INFO - Epoch(train) [136][80/1879] lr: 1.0000e-03 eta: 1 day, 3:17:18 time: 0.4368 data_time: 0.0175 memory: 17087 grad_norm: 6.3742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0299 loss: 1.0299 2022/08/04 16:19:58 - mmengine - INFO - Epoch(train) [136][100/1879] lr: 1.0000e-03 eta: 1 day, 3:17:09 time: 0.4485 data_time: 0.0135 memory: 17087 grad_norm: 6.5055 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8685 loss: 0.8685 2022/08/04 16:20:07 - mmengine - INFO - Epoch(train) [136][120/1879] lr: 1.0000e-03 eta: 1 day, 3:17:01 time: 0.4289 data_time: 0.0160 memory: 17087 grad_norm: 6.7909 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0666 loss: 1.0666 2022/08/04 16:20:16 - mmengine - INFO - Epoch(train) [136][140/1879] lr: 1.0000e-03 eta: 1 day, 3:16:52 time: 0.4567 data_time: 0.0169 memory: 17087 grad_norm: 6.6380 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9506 loss: 0.9506 2022/08/04 16:20:25 - mmengine - INFO - Epoch(train) [136][160/1879] lr: 1.0000e-03 eta: 1 day, 3:16:44 time: 0.4306 data_time: 0.0157 memory: 17087 grad_norm: 6.3807 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9792 loss: 0.9792 2022/08/04 16:20:33 - mmengine - INFO - Epoch(train) [136][180/1879] lr: 1.0000e-03 eta: 1 day, 3:16:35 time: 0.4365 data_time: 0.0157 memory: 17087 grad_norm: 6.5947 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8954 loss: 0.8954 2022/08/04 16:20:42 - mmengine - INFO - Epoch(train) [136][200/1879] lr: 1.0000e-03 eta: 1 day, 3:16:27 time: 0.4586 data_time: 0.0157 memory: 17087 grad_norm: 6.5234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9051 loss: 0.9051 2022/08/04 16:20:51 - mmengine - INFO - Epoch(train) [136][220/1879] lr: 1.0000e-03 eta: 1 day, 3:16:18 time: 0.4344 data_time: 0.0151 memory: 17087 grad_norm: 6.3344 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9713 loss: 0.9713 2022/08/04 16:21:00 - mmengine - INFO - Epoch(train) [136][240/1879] lr: 1.0000e-03 eta: 1 day, 3:16:10 time: 0.4649 data_time: 0.0189 memory: 17087 grad_norm: 6.4269 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8828 loss: 0.8828 2022/08/04 16:21:09 - mmengine - INFO - Epoch(train) [136][260/1879] lr: 1.0000e-03 eta: 1 day, 3:16:02 time: 0.4306 data_time: 0.0148 memory: 17087 grad_norm: 6.2035 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8793 loss: 0.8793 2022/08/04 16:21:18 - mmengine - INFO - Epoch(train) [136][280/1879] lr: 1.0000e-03 eta: 1 day, 3:15:53 time: 0.4553 data_time: 0.0188 memory: 17087 grad_norm: 6.6107 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8136 loss: 0.8136 2022/08/04 16:21:27 - mmengine - INFO - Epoch(train) [136][300/1879] lr: 1.0000e-03 eta: 1 day, 3:15:45 time: 0.4318 data_time: 0.0189 memory: 17087 grad_norm: 6.5544 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9915 loss: 0.9915 2022/08/04 16:21:36 - mmengine - INFO - Epoch(train) [136][320/1879] lr: 1.0000e-03 eta: 1 day, 3:15:36 time: 0.4447 data_time: 0.0172 memory: 17087 grad_norm: 6.5930 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9080 loss: 0.9080 2022/08/04 16:21:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 16:21:44 - mmengine - INFO - Epoch(train) [136][340/1879] lr: 1.0000e-03 eta: 1 day, 3:15:28 time: 0.4272 data_time: 0.0150 memory: 17087 grad_norm: 6.8307 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9048 loss: 0.9048 2022/08/04 16:21:53 - mmengine - INFO - Epoch(train) [136][360/1879] lr: 1.0000e-03 eta: 1 day, 3:15:19 time: 0.4287 data_time: 0.0163 memory: 17087 grad_norm: 6.4355 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9208 loss: 0.9208 2022/08/04 16:22:02 - mmengine - INFO - Epoch(train) [136][380/1879] lr: 1.0000e-03 eta: 1 day, 3:15:10 time: 0.4365 data_time: 0.0139 memory: 17087 grad_norm: 6.4964 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8679 loss: 0.8679 2022/08/04 16:22:10 - mmengine - INFO - Epoch(train) [136][400/1879] lr: 1.0000e-03 eta: 1 day, 3:15:02 time: 0.4320 data_time: 0.0166 memory: 17087 grad_norm: 6.4017 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9605 loss: 0.9605 2022/08/04 16:22:19 - mmengine - INFO - Epoch(train) [136][420/1879] lr: 1.0000e-03 eta: 1 day, 3:14:53 time: 0.4365 data_time: 0.0180 memory: 17087 grad_norm: 6.4199 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8899 loss: 0.8899 2022/08/04 16:22:28 - mmengine - INFO - Epoch(train) [136][440/1879] lr: 1.0000e-03 eta: 1 day, 3:14:44 time: 0.4293 data_time: 0.0158 memory: 17087 grad_norm: 6.3611 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9351 loss: 0.9351 2022/08/04 16:22:37 - mmengine - INFO - Epoch(train) [136][460/1879] lr: 1.0000e-03 eta: 1 day, 3:14:36 time: 0.4636 data_time: 0.0165 memory: 17087 grad_norm: 6.7385 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0657 loss: 1.0657 2022/08/04 16:22:46 - mmengine - INFO - Epoch(train) [136][480/1879] lr: 1.0000e-03 eta: 1 day, 3:14:28 time: 0.4307 data_time: 0.0157 memory: 17087 grad_norm: 6.5927 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9500 loss: 0.9500 2022/08/04 16:22:55 - mmengine - INFO - Epoch(train) [136][500/1879] lr: 1.0000e-03 eta: 1 day, 3:14:20 time: 0.4670 data_time: 0.0192 memory: 17087 grad_norm: 6.4541 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9789 loss: 0.9789 2022/08/04 16:23:04 - mmengine - INFO - Epoch(train) [136][520/1879] lr: 1.0000e-03 eta: 1 day, 3:14:11 time: 0.4356 data_time: 0.0152 memory: 17087 grad_norm: 6.5901 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8752 loss: 0.8752 2022/08/04 16:23:12 - mmengine - INFO - Epoch(train) [136][540/1879] lr: 1.0000e-03 eta: 1 day, 3:14:02 time: 0.4281 data_time: 0.0141 memory: 17087 grad_norm: 6.6537 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9067 loss: 0.9067 2022/08/04 16:23:21 - mmengine - INFO - Epoch(train) [136][560/1879] lr: 1.0000e-03 eta: 1 day, 3:13:54 time: 0.4594 data_time: 0.0170 memory: 17087 grad_norm: 6.3360 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8569 loss: 0.8569 2022/08/04 16:23:30 - mmengine - INFO - Epoch(train) [136][580/1879] lr: 1.0000e-03 eta: 1 day, 3:13:46 time: 0.4297 data_time: 0.0163 memory: 17087 grad_norm: 6.4409 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8734 loss: 0.8734 2022/08/04 16:23:39 - mmengine - INFO - Epoch(train) [136][600/1879] lr: 1.0000e-03 eta: 1 day, 3:13:37 time: 0.4299 data_time: 0.0154 memory: 17087 grad_norm: 6.4469 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9448 loss: 0.9448 2022/08/04 16:23:48 - mmengine - INFO - Epoch(train) [136][620/1879] lr: 1.0000e-03 eta: 1 day, 3:13:29 time: 0.4566 data_time: 0.0155 memory: 17087 grad_norm: 6.4956 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8709 loss: 0.8709 2022/08/04 16:23:56 - mmengine - INFO - Epoch(train) [136][640/1879] lr: 1.0000e-03 eta: 1 day, 3:13:20 time: 0.4305 data_time: 0.0160 memory: 17087 grad_norm: 6.4042 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8348 loss: 0.8348 2022/08/04 16:24:05 - mmengine - INFO - Epoch(train) [136][660/1879] lr: 1.0000e-03 eta: 1 day, 3:13:11 time: 0.4403 data_time: 0.0167 memory: 17087 grad_norm: 6.4283 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8999 loss: 0.8999 2022/08/04 16:24:14 - mmengine - INFO - Epoch(train) [136][680/1879] lr: 1.0000e-03 eta: 1 day, 3:13:03 time: 0.4286 data_time: 0.0165 memory: 17087 grad_norm: 6.9030 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.2155 loss: 1.2155 2022/08/04 16:24:22 - mmengine - INFO - Epoch(train) [136][700/1879] lr: 1.0000e-03 eta: 1 day, 3:12:54 time: 0.4277 data_time: 0.0152 memory: 17087 grad_norm: 6.5505 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8931 loss: 0.8931 2022/08/04 16:24:32 - mmengine - INFO - Epoch(train) [136][720/1879] lr: 1.0000e-03 eta: 1 day, 3:12:46 time: 0.4785 data_time: 0.0177 memory: 17087 grad_norm: 6.4646 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0880 loss: 1.0880 2022/08/04 16:24:41 - mmengine - INFO - Epoch(train) [136][740/1879] lr: 1.0000e-03 eta: 1 day, 3:12:37 time: 0.4275 data_time: 0.0155 memory: 17087 grad_norm: 6.4890 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9436 loss: 0.9436 2022/08/04 16:24:49 - mmengine - INFO - Epoch(train) [136][760/1879] lr: 1.0000e-03 eta: 1 day, 3:12:29 time: 0.4399 data_time: 0.0170 memory: 17087 grad_norm: 6.4670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9013 loss: 0.9013 2022/08/04 16:24:58 - mmengine - INFO - Epoch(train) [136][780/1879] lr: 1.0000e-03 eta: 1 day, 3:12:20 time: 0.4290 data_time: 0.0156 memory: 17087 grad_norm: 6.8189 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8851 loss: 0.8851 2022/08/04 16:25:07 - mmengine - INFO - Epoch(train) [136][800/1879] lr: 1.0000e-03 eta: 1 day, 3:12:12 time: 0.4613 data_time: 0.0161 memory: 17087 grad_norm: 6.5191 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9551 loss: 0.9551 2022/08/04 16:25:16 - mmengine - INFO - Epoch(train) [136][820/1879] lr: 1.0000e-03 eta: 1 day, 3:12:03 time: 0.4287 data_time: 0.0158 memory: 17087 grad_norm: 6.6580 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8973 loss: 0.8973 2022/08/04 16:25:25 - mmengine - INFO - Epoch(train) [136][840/1879] lr: 1.0000e-03 eta: 1 day, 3:11:55 time: 0.4426 data_time: 0.0172 memory: 17087 grad_norm: 6.3341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9148 loss: 0.9148 2022/08/04 16:25:33 - mmengine - INFO - Epoch(train) [136][860/1879] lr: 1.0000e-03 eta: 1 day, 3:11:46 time: 0.4269 data_time: 0.0146 memory: 17087 grad_norm: 6.5960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0590 loss: 1.0590 2022/08/04 16:25:42 - mmengine - INFO - Epoch(train) [136][880/1879] lr: 1.0000e-03 eta: 1 day, 3:11:38 time: 0.4282 data_time: 0.0171 memory: 17087 grad_norm: 6.4265 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9672 loss: 0.9672 2022/08/04 16:25:51 - mmengine - INFO - Epoch(train) [136][900/1879] lr: 1.0000e-03 eta: 1 day, 3:11:29 time: 0.4660 data_time: 0.0178 memory: 17087 grad_norm: 6.5643 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0780 loss: 1.0780 2022/08/04 16:26:00 - mmengine - INFO - Epoch(train) [136][920/1879] lr: 1.0000e-03 eta: 1 day, 3:11:21 time: 0.4282 data_time: 0.0172 memory: 17087 grad_norm: 6.3909 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8969 loss: 0.8969 2022/08/04 16:26:09 - mmengine - INFO - Epoch(train) [136][940/1879] lr: 1.0000e-03 eta: 1 day, 3:11:13 time: 0.4543 data_time: 0.0200 memory: 17087 grad_norm: 6.5784 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8433 loss: 0.8433 2022/08/04 16:26:17 - mmengine - INFO - Epoch(train) [136][960/1879] lr: 1.0000e-03 eta: 1 day, 3:11:04 time: 0.4291 data_time: 0.0160 memory: 17087 grad_norm: 6.5873 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9450 loss: 0.9450 2022/08/04 16:26:26 - mmengine - INFO - Epoch(train) [136][980/1879] lr: 1.0000e-03 eta: 1 day, 3:10:55 time: 0.4333 data_time: 0.0165 memory: 17087 grad_norm: 6.7357 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0214 loss: 1.0214 2022/08/04 16:26:35 - mmengine - INFO - Epoch(train) [136][1000/1879] lr: 1.0000e-03 eta: 1 day, 3:10:47 time: 0.4593 data_time: 0.0178 memory: 17087 grad_norm: 6.5689 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9749 loss: 0.9749 2022/08/04 16:26:44 - mmengine - INFO - Epoch(train) [136][1020/1879] lr: 1.0000e-03 eta: 1 day, 3:10:38 time: 0.4284 data_time: 0.0144 memory: 17087 grad_norm: 6.4042 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8260 loss: 0.8260 2022/08/04 16:26:53 - mmengine - INFO - Epoch(train) [136][1040/1879] lr: 1.0000e-03 eta: 1 day, 3:10:30 time: 0.4356 data_time: 0.0211 memory: 17087 grad_norm: 6.5220 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9175 loss: 0.9175 2022/08/04 16:27:01 - mmengine - INFO - Epoch(train) [136][1060/1879] lr: 1.0000e-03 eta: 1 day, 3:10:21 time: 0.4340 data_time: 0.0172 memory: 17087 grad_norm: 6.6023 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9185 loss: 0.9185 2022/08/04 16:27:11 - mmengine - INFO - Epoch(train) [136][1080/1879] lr: 1.0000e-03 eta: 1 day, 3:10:13 time: 0.4596 data_time: 0.0172 memory: 17087 grad_norm: 6.4547 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0445 loss: 1.0445 2022/08/04 16:27:19 - mmengine - INFO - Epoch(train) [136][1100/1879] lr: 1.0000e-03 eta: 1 day, 3:10:04 time: 0.4306 data_time: 0.0165 memory: 17087 grad_norm: 6.4675 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9635 loss: 0.9635 2022/08/04 16:27:28 - mmengine - INFO - Epoch(train) [136][1120/1879] lr: 1.0000e-03 eta: 1 day, 3:09:56 time: 0.4341 data_time: 0.0167 memory: 17087 grad_norm: 6.7128 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0013 loss: 1.0013 2022/08/04 16:27:36 - mmengine - INFO - Epoch(train) [136][1140/1879] lr: 1.0000e-03 eta: 1 day, 3:09:47 time: 0.4276 data_time: 0.0150 memory: 17087 grad_norm: 6.6848 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8351 loss: 0.8351 2022/08/04 16:27:46 - mmengine - INFO - Epoch(train) [136][1160/1879] lr: 1.0000e-03 eta: 1 day, 3:09:39 time: 0.4561 data_time: 0.0196 memory: 17087 grad_norm: 6.4679 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8539 loss: 0.8539 2022/08/04 16:27:54 - mmengine - INFO - Epoch(train) [136][1180/1879] lr: 1.0000e-03 eta: 1 day, 3:09:30 time: 0.4273 data_time: 0.0149 memory: 17087 grad_norm: 6.7162 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9507 loss: 0.9507 2022/08/04 16:28:03 - mmengine - INFO - Epoch(train) [136][1200/1879] lr: 1.0000e-03 eta: 1 day, 3:09:21 time: 0.4353 data_time: 0.0174 memory: 17087 grad_norm: 6.4023 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0124 loss: 1.0124 2022/08/04 16:28:11 - mmengine - INFO - Epoch(train) [136][1220/1879] lr: 1.0000e-03 eta: 1 day, 3:09:13 time: 0.4258 data_time: 0.0148 memory: 17087 grad_norm: 6.6624 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8581 loss: 0.8581 2022/08/04 16:28:20 - mmengine - INFO - Epoch(train) [136][1240/1879] lr: 1.0000e-03 eta: 1 day, 3:09:04 time: 0.4407 data_time: 0.0180 memory: 17087 grad_norm: 6.5704 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7963 loss: 0.7963 2022/08/04 16:28:29 - mmengine - INFO - Epoch(train) [136][1260/1879] lr: 1.0000e-03 eta: 1 day, 3:08:55 time: 0.4296 data_time: 0.0167 memory: 17087 grad_norm: 6.4351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0276 loss: 1.0276 2022/08/04 16:28:38 - mmengine - INFO - Epoch(train) [136][1280/1879] lr: 1.0000e-03 eta: 1 day, 3:08:47 time: 0.4402 data_time: 0.0171 memory: 17087 grad_norm: 6.4823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0148 loss: 1.0148 2022/08/04 16:28:46 - mmengine - INFO - Epoch(train) [136][1300/1879] lr: 1.0000e-03 eta: 1 day, 3:08:38 time: 0.4301 data_time: 0.0153 memory: 17087 grad_norm: 6.3732 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9661 loss: 0.9661 2022/08/04 16:28:55 - mmengine - INFO - Epoch(train) [136][1320/1879] lr: 1.0000e-03 eta: 1 day, 3:08:30 time: 0.4438 data_time: 0.0180 memory: 17087 grad_norm: 6.5622 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8250 loss: 0.8250 2022/08/04 16:29:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 16:29:04 - mmengine - INFO - Epoch(train) [136][1340/1879] lr: 1.0000e-03 eta: 1 day, 3:08:21 time: 0.4271 data_time: 0.0148 memory: 17087 grad_norm: 6.5719 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0179 loss: 1.0179 2022/08/04 16:29:12 - mmengine - INFO - Epoch(train) [136][1360/1879] lr: 1.0000e-03 eta: 1 day, 3:08:12 time: 0.4286 data_time: 0.0175 memory: 17087 grad_norm: 6.8434 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9902 loss: 0.9902 2022/08/04 16:29:21 - mmengine - INFO - Epoch(train) [136][1380/1879] lr: 1.0000e-03 eta: 1 day, 3:08:04 time: 0.4444 data_time: 0.0172 memory: 17087 grad_norm: 6.3928 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9381 loss: 0.9381 2022/08/04 16:29:30 - mmengine - INFO - Epoch(train) [136][1400/1879] lr: 1.0000e-03 eta: 1 day, 3:07:55 time: 0.4301 data_time: 0.0168 memory: 17087 grad_norm: 6.4153 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9543 loss: 0.9543 2022/08/04 16:29:38 - mmengine - INFO - Epoch(train) [136][1420/1879] lr: 1.0000e-03 eta: 1 day, 3:07:47 time: 0.4306 data_time: 0.0160 memory: 17087 grad_norm: 6.4761 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9807 loss: 0.9807 2022/08/04 16:29:47 - mmengine - INFO - Epoch(train) [136][1440/1879] lr: 1.0000e-03 eta: 1 day, 3:07:38 time: 0.4289 data_time: 0.0155 memory: 17087 grad_norm: 6.4532 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9680 loss: 0.9680 2022/08/04 16:29:56 - mmengine - INFO - Epoch(train) [136][1460/1879] lr: 1.0000e-03 eta: 1 day, 3:07:29 time: 0.4339 data_time: 0.0168 memory: 17087 grad_norm: 6.3627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9015 loss: 0.9015 2022/08/04 16:30:04 - mmengine - INFO - Epoch(train) [136][1480/1879] lr: 1.0000e-03 eta: 1 day, 3:07:21 time: 0.4298 data_time: 0.0157 memory: 17087 grad_norm: 6.3947 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0856 loss: 1.0856 2022/08/04 16:30:13 - mmengine - INFO - Epoch(train) [136][1500/1879] lr: 1.0000e-03 eta: 1 day, 3:07:12 time: 0.4285 data_time: 0.0154 memory: 17087 grad_norm: 6.3719 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8617 loss: 0.8617 2022/08/04 16:30:22 - mmengine - INFO - Epoch(train) [136][1520/1879] lr: 1.0000e-03 eta: 1 day, 3:07:03 time: 0.4381 data_time: 0.0163 memory: 17087 grad_norm: 6.3243 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7781 loss: 0.7781 2022/08/04 16:30:31 - mmengine - INFO - Epoch(train) [136][1540/1879] lr: 1.0000e-03 eta: 1 day, 3:06:55 time: 0.4410 data_time: 0.0153 memory: 17087 grad_norm: 6.5345 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9253 loss: 0.9253 2022/08/04 16:30:40 - mmengine - INFO - Epoch(train) [136][1560/1879] lr: 1.0000e-03 eta: 1 day, 3:06:47 time: 0.4569 data_time: 0.0156 memory: 17087 grad_norm: 6.2875 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0103 loss: 1.0103 2022/08/04 16:30:48 - mmengine - INFO - Epoch(train) [136][1580/1879] lr: 1.0000e-03 eta: 1 day, 3:06:38 time: 0.4287 data_time: 0.0155 memory: 17087 grad_norm: 6.5846 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8667 loss: 0.8667 2022/08/04 16:30:57 - mmengine - INFO - Epoch(train) [136][1600/1879] lr: 1.0000e-03 eta: 1 day, 3:06:29 time: 0.4390 data_time: 0.0150 memory: 17087 grad_norm: 6.7137 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0650 loss: 1.0650 2022/08/04 16:31:06 - mmengine - INFO - Epoch(train) [136][1620/1879] lr: 1.0000e-03 eta: 1 day, 3:06:21 time: 0.4282 data_time: 0.0157 memory: 17087 grad_norm: 6.4789 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8702 loss: 0.8702 2022/08/04 16:31:14 - mmengine - INFO - Epoch(train) [136][1640/1879] lr: 1.0000e-03 eta: 1 day, 3:06:12 time: 0.4337 data_time: 0.0164 memory: 17087 grad_norm: 6.7565 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0415 loss: 1.0415 2022/08/04 16:31:23 - mmengine - INFO - Epoch(train) [136][1660/1879] lr: 1.0000e-03 eta: 1 day, 3:06:03 time: 0.4356 data_time: 0.0157 memory: 17087 grad_norm: 6.7940 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0566 loss: 1.0566 2022/08/04 16:31:32 - mmengine - INFO - Epoch(train) [136][1680/1879] lr: 1.0000e-03 eta: 1 day, 3:05:55 time: 0.4279 data_time: 0.0157 memory: 17087 grad_norm: 6.3109 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8948 loss: 0.8948 2022/08/04 16:31:41 - mmengine - INFO - Epoch(train) [136][1700/1879] lr: 1.0000e-03 eta: 1 day, 3:05:47 time: 0.4578 data_time: 0.0180 memory: 17087 grad_norm: 6.4952 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9214 loss: 0.9214 2022/08/04 16:31:49 - mmengine - INFO - Epoch(train) [136][1720/1879] lr: 1.0000e-03 eta: 1 day, 3:05:38 time: 0.4288 data_time: 0.0157 memory: 17087 grad_norm: 6.3489 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8630 loss: 0.8630 2022/08/04 16:31:59 - mmengine - INFO - Epoch(train) [136][1740/1879] lr: 1.0000e-03 eta: 1 day, 3:05:30 time: 0.4695 data_time: 0.0204 memory: 17087 grad_norm: 6.4641 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0216 loss: 1.0216 2022/08/04 16:32:07 - mmengine - INFO - Epoch(train) [136][1760/1879] lr: 1.0000e-03 eta: 1 day, 3:05:21 time: 0.4300 data_time: 0.0171 memory: 17087 grad_norm: 6.5881 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9779 loss: 0.9779 2022/08/04 16:32:17 - mmengine - INFO - Epoch(train) [136][1780/1879] lr: 1.0000e-03 eta: 1 day, 3:05:13 time: 0.4756 data_time: 0.0173 memory: 17087 grad_norm: 6.6310 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8526 loss: 0.8526 2022/08/04 16:32:26 - mmengine - INFO - Epoch(train) [136][1800/1879] lr: 1.0000e-03 eta: 1 day, 3:05:05 time: 0.4287 data_time: 0.0155 memory: 17087 grad_norm: 6.4300 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9175 loss: 0.9175 2022/08/04 16:32:34 - mmengine - INFO - Epoch(train) [136][1820/1879] lr: 1.0000e-03 eta: 1 day, 3:04:56 time: 0.4294 data_time: 0.0148 memory: 17087 grad_norm: 6.6846 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9121 loss: 0.9121 2022/08/04 16:32:43 - mmengine - INFO - Epoch(train) [136][1840/1879] lr: 1.0000e-03 eta: 1 day, 3:04:47 time: 0.4346 data_time: 0.0205 memory: 17087 grad_norm: 6.4841 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9672 loss: 0.9672 2022/08/04 16:32:51 - mmengine - INFO - Epoch(train) [136][1860/1879] lr: 1.0000e-03 eta: 1 day, 3:04:39 time: 0.4270 data_time: 0.0147 memory: 17087 grad_norm: 6.6000 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9682 loss: 0.9682 2022/08/04 16:33:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 16:33:00 - mmengine - INFO - Epoch(train) [136][1879/1879] lr: 1.0000e-03 eta: 1 day, 3:04:39 time: 0.4287 data_time: 0.0148 memory: 17087 grad_norm: 6.4611 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7784 loss: 0.7784 2022/08/04 16:33:00 - mmengine - INFO - Saving checkpoint at 136 epochs 2022/08/04 16:33:13 - mmengine - INFO - Epoch(train) [137][20/1879] lr: 1.0000e-03 eta: 1 day, 3:04:16 time: 0.5156 data_time: 0.1031 memory: 17087 grad_norm: 6.4101 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8557 loss: 0.8557 2022/08/04 16:33:23 - mmengine - INFO - Epoch(train) [137][40/1879] lr: 1.0000e-03 eta: 1 day, 3:04:08 time: 0.4621 data_time: 0.0161 memory: 17087 grad_norm: 6.3992 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7910 loss: 0.7910 2022/08/04 16:33:31 - mmengine - INFO - Epoch(train) [137][60/1879] lr: 1.0000e-03 eta: 1 day, 3:03:59 time: 0.4291 data_time: 0.0152 memory: 17087 grad_norm: 6.3568 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7825 loss: 0.7825 2022/08/04 16:33:41 - mmengine - INFO - Epoch(train) [137][80/1879] lr: 1.0000e-03 eta: 1 day, 3:03:51 time: 0.4685 data_time: 0.0178 memory: 17087 grad_norm: 6.5875 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9660 loss: 0.9660 2022/08/04 16:33:49 - mmengine - INFO - Epoch(train) [137][100/1879] lr: 1.0000e-03 eta: 1 day, 3:03:42 time: 0.4270 data_time: 0.0159 memory: 17087 grad_norm: 6.6386 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9615 loss: 0.9615 2022/08/04 16:33:59 - mmengine - INFO - Epoch(train) [137][120/1879] lr: 1.0000e-03 eta: 1 day, 3:03:34 time: 0.4622 data_time: 0.0164 memory: 17087 grad_norm: 6.5113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0651 loss: 1.0651 2022/08/04 16:34:07 - mmengine - INFO - Epoch(train) [137][140/1879] lr: 1.0000e-03 eta: 1 day, 3:03:25 time: 0.4294 data_time: 0.0153 memory: 17087 grad_norm: 6.3740 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 1.0018 loss: 1.0018 2022/08/04 16:34:16 - mmengine - INFO - Epoch(train) [137][160/1879] lr: 1.0000e-03 eta: 1 day, 3:03:17 time: 0.4647 data_time: 0.0164 memory: 17087 grad_norm: 6.6992 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8907 loss: 0.8907 2022/08/04 16:34:25 - mmengine - INFO - Epoch(train) [137][180/1879] lr: 1.0000e-03 eta: 1 day, 3:03:09 time: 0.4289 data_time: 0.0154 memory: 17087 grad_norm: 6.4792 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9190 loss: 0.9190 2022/08/04 16:34:34 - mmengine - INFO - Epoch(train) [137][200/1879] lr: 1.0000e-03 eta: 1 day, 3:03:00 time: 0.4283 data_time: 0.0157 memory: 17087 grad_norm: 6.5575 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9540 loss: 0.9540 2022/08/04 16:34:43 - mmengine - INFO - Epoch(train) [137][220/1879] lr: 1.0000e-03 eta: 1 day, 3:02:52 time: 0.4702 data_time: 0.0184 memory: 17087 grad_norm: 6.8400 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0123 loss: 1.0123 2022/08/04 16:34:52 - mmengine - INFO - Epoch(train) [137][240/1879] lr: 1.0000e-03 eta: 1 day, 3:02:43 time: 0.4299 data_time: 0.0162 memory: 17087 grad_norm: 6.5349 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8074 loss: 0.8074 2022/08/04 16:35:00 - mmengine - INFO - Epoch(train) [137][260/1879] lr: 1.0000e-03 eta: 1 day, 3:02:35 time: 0.4404 data_time: 0.0165 memory: 17087 grad_norm: 6.5652 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0132 loss: 1.0132 2022/08/04 16:35:09 - mmengine - INFO - Epoch(train) [137][280/1879] lr: 1.0000e-03 eta: 1 day, 3:02:26 time: 0.4305 data_time: 0.0174 memory: 17087 grad_norm: 6.4703 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8820 loss: 0.8820 2022/08/04 16:35:18 - mmengine - INFO - Epoch(train) [137][300/1879] lr: 1.0000e-03 eta: 1 day, 3:02:18 time: 0.4547 data_time: 0.0155 memory: 17087 grad_norm: 6.7553 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9386 loss: 0.9386 2022/08/04 16:35:27 - mmengine - INFO - Epoch(train) [137][320/1879] lr: 1.0000e-03 eta: 1 day, 3:02:09 time: 0.4299 data_time: 0.0161 memory: 17087 grad_norm: 6.4421 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9403 loss: 0.9403 2022/08/04 16:35:37 - mmengine - INFO - Epoch(train) [137][340/1879] lr: 1.0000e-03 eta: 1 day, 3:02:02 time: 0.4897 data_time: 0.0186 memory: 17087 grad_norm: 6.7533 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9936 loss: 0.9936 2022/08/04 16:35:45 - mmengine - INFO - Epoch(train) [137][360/1879] lr: 1.0000e-03 eta: 1 day, 3:01:53 time: 0.4315 data_time: 0.0181 memory: 17087 grad_norm: 6.8100 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9790 loss: 0.9790 2022/08/04 16:35:54 - mmengine - INFO - Epoch(train) [137][380/1879] lr: 1.0000e-03 eta: 1 day, 3:01:44 time: 0.4272 data_time: 0.0146 memory: 17087 grad_norm: 6.3508 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7890 loss: 0.7890 2022/08/04 16:36:03 - mmengine - INFO - Epoch(train) [137][400/1879] lr: 1.0000e-03 eta: 1 day, 3:01:36 time: 0.4413 data_time: 0.0171 memory: 17087 grad_norm: 6.4671 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8948 loss: 0.8948 2022/08/04 16:36:11 - mmengine - INFO - Epoch(train) [137][420/1879] lr: 1.0000e-03 eta: 1 day, 3:01:27 time: 0.4279 data_time: 0.0158 memory: 17087 grad_norm: 6.4245 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0336 loss: 1.0336 2022/08/04 16:36:21 - mmengine - INFO - Epoch(train) [137][440/1879] lr: 1.0000e-03 eta: 1 day, 3:01:19 time: 0.4707 data_time: 0.0173 memory: 17087 grad_norm: 6.4301 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.3029 loss: 1.3029 2022/08/04 16:36:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 16:36:29 - mmengine - INFO - Epoch(train) [137][460/1879] lr: 1.0000e-03 eta: 1 day, 3:01:10 time: 0.4339 data_time: 0.0154 memory: 17087 grad_norm: 6.6780 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9570 loss: 0.9570 2022/08/04 16:36:38 - mmengine - INFO - Epoch(train) [137][480/1879] lr: 1.0000e-03 eta: 1 day, 3:01:02 time: 0.4297 data_time: 0.0162 memory: 17087 grad_norm: 6.5764 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8391 loss: 0.8391 2022/08/04 16:36:47 - mmengine - INFO - Epoch(train) [137][500/1879] lr: 1.0000e-03 eta: 1 day, 3:00:54 time: 0.4621 data_time: 0.0210 memory: 17087 grad_norm: 6.5734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0634 loss: 1.0634 2022/08/04 16:36:56 - mmengine - INFO - Epoch(train) [137][520/1879] lr: 1.0000e-03 eta: 1 day, 3:00:45 time: 0.4340 data_time: 0.0200 memory: 17087 grad_norm: 6.7056 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7956 loss: 0.7956 2022/08/04 16:37:04 - mmengine - INFO - Epoch(train) [137][540/1879] lr: 1.0000e-03 eta: 1 day, 3:00:36 time: 0.4276 data_time: 0.0158 memory: 17087 grad_norm: 6.7167 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9286 loss: 0.9286 2022/08/04 16:37:14 - mmengine - INFO - Epoch(train) [137][560/1879] lr: 1.0000e-03 eta: 1 day, 3:00:28 time: 0.4560 data_time: 0.0180 memory: 17087 grad_norm: 6.3531 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8881 loss: 0.8881 2022/08/04 16:37:22 - mmengine - INFO - Epoch(train) [137][580/1879] lr: 1.0000e-03 eta: 1 day, 3:00:19 time: 0.4313 data_time: 0.0204 memory: 17087 grad_norm: 6.5702 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9137 loss: 0.9137 2022/08/04 16:37:31 - mmengine - INFO - Epoch(train) [137][600/1879] lr: 1.0000e-03 eta: 1 day, 3:00:11 time: 0.4317 data_time: 0.0167 memory: 17087 grad_norm: 6.4691 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9608 loss: 0.9608 2022/08/04 16:37:39 - mmengine - INFO - Epoch(train) [137][620/1879] lr: 1.0000e-03 eta: 1 day, 3:00:02 time: 0.4286 data_time: 0.0148 memory: 17087 grad_norm: 6.5718 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0016 loss: 1.0016 2022/08/04 16:37:48 - mmengine - INFO - Epoch(train) [137][640/1879] lr: 1.0000e-03 eta: 1 day, 2:59:54 time: 0.4432 data_time: 0.0181 memory: 17087 grad_norm: 6.5092 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8696 loss: 0.8696 2022/08/04 16:37:57 - mmengine - INFO - Epoch(train) [137][660/1879] lr: 1.0000e-03 eta: 1 day, 2:59:45 time: 0.4352 data_time: 0.0157 memory: 17087 grad_norm: 6.4368 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8632 loss: 0.8632 2022/08/04 16:38:06 - mmengine - INFO - Epoch(train) [137][680/1879] lr: 1.0000e-03 eta: 1 day, 2:59:37 time: 0.4596 data_time: 0.0177 memory: 17087 grad_norm: 6.4143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7487 loss: 0.7487 2022/08/04 16:38:15 - mmengine - INFO - Epoch(train) [137][700/1879] lr: 1.0000e-03 eta: 1 day, 2:59:28 time: 0.4293 data_time: 0.0150 memory: 17087 grad_norm: 6.4584 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8201 loss: 0.8201 2022/08/04 16:38:24 - mmengine - INFO - Epoch(train) [137][720/1879] lr: 1.0000e-03 eta: 1 day, 2:59:20 time: 0.4401 data_time: 0.0219 memory: 17087 grad_norm: 6.7111 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9115 loss: 0.9115 2022/08/04 16:38:32 - mmengine - INFO - Epoch(train) [137][740/1879] lr: 1.0000e-03 eta: 1 day, 2:59:11 time: 0.4256 data_time: 0.0148 memory: 17087 grad_norm: 6.5069 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8137 loss: 0.8137 2022/08/04 16:38:41 - mmengine - INFO - Epoch(train) [137][760/1879] lr: 1.0000e-03 eta: 1 day, 2:59:03 time: 0.4543 data_time: 0.0181 memory: 17087 grad_norm: 6.2826 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9580 loss: 0.9580 2022/08/04 16:38:50 - mmengine - INFO - Epoch(train) [137][780/1879] lr: 1.0000e-03 eta: 1 day, 2:58:54 time: 0.4275 data_time: 0.0145 memory: 17087 grad_norm: 6.4844 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9034 loss: 0.9034 2022/08/04 16:38:59 - mmengine - INFO - Epoch(train) [137][800/1879] lr: 1.0000e-03 eta: 1 day, 2:58:46 time: 0.4711 data_time: 0.0154 memory: 17087 grad_norm: 6.6262 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0205 loss: 1.0205 2022/08/04 16:39:08 - mmengine - INFO - Epoch(train) [137][820/1879] lr: 1.0000e-03 eta: 1 day, 2:58:37 time: 0.4286 data_time: 0.0158 memory: 17087 grad_norm: 6.5903 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8753 loss: 0.8753 2022/08/04 16:39:17 - mmengine - INFO - Epoch(train) [137][840/1879] lr: 1.0000e-03 eta: 1 day, 2:58:29 time: 0.4421 data_time: 0.0162 memory: 17087 grad_norm: 6.5067 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7627 loss: 0.7627 2022/08/04 16:39:25 - mmengine - INFO - Epoch(train) [137][860/1879] lr: 1.0000e-03 eta: 1 day, 2:58:20 time: 0.4293 data_time: 0.0161 memory: 17087 grad_norm: 6.5412 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9750 loss: 0.9750 2022/08/04 16:39:34 - mmengine - INFO - Epoch(train) [137][880/1879] lr: 1.0000e-03 eta: 1 day, 2:58:11 time: 0.4316 data_time: 0.0169 memory: 17087 grad_norm: 6.6753 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9872 loss: 0.9872 2022/08/04 16:39:43 - mmengine - INFO - Epoch(train) [137][900/1879] lr: 1.0000e-03 eta: 1 day, 2:58:03 time: 0.4273 data_time: 0.0162 memory: 17087 grad_norm: 6.5228 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9615 loss: 0.9615 2022/08/04 16:39:52 - mmengine - INFO - Epoch(train) [137][920/1879] lr: 1.0000e-03 eta: 1 day, 2:57:55 time: 0.4728 data_time: 0.0179 memory: 17087 grad_norm: 6.6366 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1912 loss: 1.1912 2022/08/04 16:40:01 - mmengine - INFO - Epoch(train) [137][940/1879] lr: 1.0000e-03 eta: 1 day, 2:57:46 time: 0.4274 data_time: 0.0156 memory: 17087 grad_norm: 6.5734 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9908 loss: 0.9908 2022/08/04 16:40:10 - mmengine - INFO - Epoch(train) [137][960/1879] lr: 1.0000e-03 eta: 1 day, 2:57:38 time: 0.4660 data_time: 0.0149 memory: 17087 grad_norm: 6.4495 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8184 loss: 0.8184 2022/08/04 16:40:19 - mmengine - INFO - Epoch(train) [137][980/1879] lr: 1.0000e-03 eta: 1 day, 2:57:29 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 6.5329 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7900 loss: 0.7900 2022/08/04 16:40:27 - mmengine - INFO - Epoch(train) [137][1000/1879] lr: 1.0000e-03 eta: 1 day, 2:57:21 time: 0.4363 data_time: 0.0171 memory: 17087 grad_norm: 6.6200 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0559 loss: 1.0559 2022/08/04 16:40:37 - mmengine - INFO - Epoch(train) [137][1020/1879] lr: 1.0000e-03 eta: 1 day, 2:57:12 time: 0.4585 data_time: 0.0151 memory: 17087 grad_norm: 6.6364 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8932 loss: 0.8932 2022/08/04 16:40:45 - mmengine - INFO - Epoch(train) [137][1040/1879] lr: 1.0000e-03 eta: 1 day, 2:57:04 time: 0.4280 data_time: 0.0151 memory: 17087 grad_norm: 6.4976 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7805 loss: 0.7805 2022/08/04 16:40:54 - mmengine - INFO - Epoch(train) [137][1060/1879] lr: 1.0000e-03 eta: 1 day, 2:56:55 time: 0.4324 data_time: 0.0198 memory: 17087 grad_norm: 6.7359 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9186 loss: 0.9186 2022/08/04 16:41:03 - mmengine - INFO - Epoch(train) [137][1080/1879] lr: 1.0000e-03 eta: 1 day, 2:56:47 time: 0.4590 data_time: 0.0160 memory: 17087 grad_norm: 6.7701 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8696 loss: 0.8696 2022/08/04 16:41:12 - mmengine - INFO - Epoch(train) [137][1100/1879] lr: 1.0000e-03 eta: 1 day, 2:56:38 time: 0.4268 data_time: 0.0153 memory: 17087 grad_norm: 6.7495 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9760 loss: 0.9760 2022/08/04 16:41:20 - mmengine - INFO - Epoch(train) [137][1120/1879] lr: 1.0000e-03 eta: 1 day, 2:56:30 time: 0.4404 data_time: 0.0180 memory: 17087 grad_norm: 6.3681 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8501 loss: 0.8501 2022/08/04 16:41:29 - mmengine - INFO - Epoch(train) [137][1140/1879] lr: 1.0000e-03 eta: 1 day, 2:56:21 time: 0.4285 data_time: 0.0148 memory: 17087 grad_norm: 6.5706 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9759 loss: 0.9759 2022/08/04 16:41:38 - mmengine - INFO - Epoch(train) [137][1160/1879] lr: 1.0000e-03 eta: 1 day, 2:56:12 time: 0.4411 data_time: 0.0206 memory: 17087 grad_norm: 6.7840 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9332 loss: 0.9332 2022/08/04 16:41:46 - mmengine - INFO - Epoch(train) [137][1180/1879] lr: 1.0000e-03 eta: 1 day, 2:56:04 time: 0.4279 data_time: 0.0150 memory: 17087 grad_norm: 6.9060 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1465 loss: 1.1465 2022/08/04 16:41:55 - mmengine - INFO - Epoch(train) [137][1200/1879] lr: 1.0000e-03 eta: 1 day, 2:55:55 time: 0.4311 data_time: 0.0171 memory: 17087 grad_norm: 6.5800 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9353 loss: 0.9353 2022/08/04 16:42:04 - mmengine - INFO - Epoch(train) [137][1220/1879] lr: 1.0000e-03 eta: 1 day, 2:55:47 time: 0.4629 data_time: 0.0167 memory: 17087 grad_norm: 6.5896 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9155 loss: 0.9155 2022/08/04 16:42:13 - mmengine - INFO - Epoch(train) [137][1240/1879] lr: 1.0000e-03 eta: 1 day, 2:55:38 time: 0.4310 data_time: 0.0162 memory: 17087 grad_norm: 6.6639 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9677 loss: 0.9677 2022/08/04 16:42:22 - mmengine - INFO - Epoch(train) [137][1260/1879] lr: 1.0000e-03 eta: 1 day, 2:55:30 time: 0.4398 data_time: 0.0173 memory: 17087 grad_norm: 6.4582 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9308 loss: 0.9308 2022/08/04 16:42:30 - mmengine - INFO - Epoch(train) [137][1280/1879] lr: 1.0000e-03 eta: 1 day, 2:55:21 time: 0.4303 data_time: 0.0160 memory: 17087 grad_norm: 6.4927 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9047 loss: 0.9047 2022/08/04 16:42:40 - mmengine - INFO - Epoch(train) [137][1300/1879] lr: 1.0000e-03 eta: 1 day, 2:55:13 time: 0.4698 data_time: 0.0165 memory: 17087 grad_norm: 6.4562 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8960 loss: 0.8960 2022/08/04 16:42:48 - mmengine - INFO - Epoch(train) [137][1320/1879] lr: 1.0000e-03 eta: 1 day, 2:55:04 time: 0.4303 data_time: 0.0152 memory: 17087 grad_norm: 6.5574 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9177 loss: 0.9177 2022/08/04 16:42:58 - mmengine - INFO - Epoch(train) [137][1340/1879] lr: 1.0000e-03 eta: 1 day, 2:54:57 time: 0.4835 data_time: 0.0212 memory: 17087 grad_norm: 6.4859 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9669 loss: 0.9669 2022/08/04 16:43:07 - mmengine - INFO - Epoch(train) [137][1360/1879] lr: 1.0000e-03 eta: 1 day, 2:54:48 time: 0.4358 data_time: 0.0239 memory: 17087 grad_norm: 6.6370 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9921 loss: 0.9921 2022/08/04 16:43:15 - mmengine - INFO - Epoch(train) [137][1380/1879] lr: 1.0000e-03 eta: 1 day, 2:54:39 time: 0.4344 data_time: 0.0171 memory: 17087 grad_norm: 6.5594 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0883 loss: 1.0883 2022/08/04 16:43:24 - mmengine - INFO - Epoch(train) [137][1400/1879] lr: 1.0000e-03 eta: 1 day, 2:54:31 time: 0.4280 data_time: 0.0166 memory: 17087 grad_norm: 6.7333 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9855 loss: 0.9855 2022/08/04 16:43:34 - mmengine - INFO - Epoch(train) [137][1420/1879] lr: 1.0000e-03 eta: 1 day, 2:54:23 time: 0.4729 data_time: 0.0164 memory: 17087 grad_norm: 6.4086 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0135 loss: 1.0135 2022/08/04 16:43:42 - mmengine - INFO - Epoch(train) [137][1440/1879] lr: 1.0000e-03 eta: 1 day, 2:54:14 time: 0.4303 data_time: 0.0161 memory: 17087 grad_norm: 6.4393 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1160 loss: 1.1160 2022/08/04 16:43:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 16:43:51 - mmengine - INFO - Epoch(train) [137][1460/1879] lr: 1.0000e-03 eta: 1 day, 2:54:06 time: 0.4501 data_time: 0.0160 memory: 17087 grad_norm: 6.4634 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8358 loss: 0.8358 2022/08/04 16:44:00 - mmengine - INFO - Epoch(train) [137][1480/1879] lr: 1.0000e-03 eta: 1 day, 2:53:57 time: 0.4285 data_time: 0.0164 memory: 17087 grad_norm: 6.5993 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9822 loss: 0.9822 2022/08/04 16:44:09 - mmengine - INFO - Epoch(train) [137][1500/1879] lr: 1.0000e-03 eta: 1 day, 2:53:49 time: 0.4575 data_time: 0.0175 memory: 17087 grad_norm: 6.4243 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8980 loss: 0.8980 2022/08/04 16:44:18 - mmengine - INFO - Epoch(train) [137][1520/1879] lr: 1.0000e-03 eta: 1 day, 2:53:40 time: 0.4290 data_time: 0.0155 memory: 17087 grad_norm: 6.5328 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9807 loss: 0.9807 2022/08/04 16:44:26 - mmengine - INFO - Epoch(train) [137][1540/1879] lr: 1.0000e-03 eta: 1 day, 2:53:32 time: 0.4441 data_time: 0.0162 memory: 17087 grad_norm: 6.5560 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1257 loss: 1.1257 2022/08/04 16:44:35 - mmengine - INFO - Epoch(train) [137][1560/1879] lr: 1.0000e-03 eta: 1 day, 2:53:23 time: 0.4310 data_time: 0.0164 memory: 17087 grad_norm: 6.6318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9203 loss: 0.9203 2022/08/04 16:44:44 - mmengine - INFO - Epoch(train) [137][1580/1879] lr: 1.0000e-03 eta: 1 day, 2:53:14 time: 0.4268 data_time: 0.0137 memory: 17087 grad_norm: 6.5865 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8577 loss: 0.8577 2022/08/04 16:44:52 - mmengine - INFO - Epoch(train) [137][1600/1879] lr: 1.0000e-03 eta: 1 day, 2:53:06 time: 0.4349 data_time: 0.0157 memory: 17087 grad_norm: 6.4752 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9567 loss: 0.9567 2022/08/04 16:45:02 - mmengine - INFO - Epoch(train) [137][1620/1879] lr: 1.0000e-03 eta: 1 day, 2:52:58 time: 0.4963 data_time: 0.0152 memory: 17087 grad_norm: 6.6126 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8490 loss: 0.8490 2022/08/04 16:45:12 - mmengine - INFO - Epoch(train) [137][1640/1879] lr: 1.0000e-03 eta: 1 day, 2:52:50 time: 0.4697 data_time: 0.0176 memory: 17087 grad_norm: 6.3320 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9635 loss: 0.9635 2022/08/04 16:45:20 - mmengine - INFO - Epoch(train) [137][1660/1879] lr: 1.0000e-03 eta: 1 day, 2:52:41 time: 0.4293 data_time: 0.0149 memory: 17087 grad_norm: 6.4319 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0614 loss: 1.0614 2022/08/04 16:45:29 - mmengine - INFO - Epoch(train) [137][1680/1879] lr: 1.0000e-03 eta: 1 day, 2:52:33 time: 0.4347 data_time: 0.0172 memory: 17087 grad_norm: 6.8115 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0071 loss: 1.0071 2022/08/04 16:45:38 - mmengine - INFO - Epoch(train) [137][1700/1879] lr: 1.0000e-03 eta: 1 day, 2:52:24 time: 0.4277 data_time: 0.0151 memory: 17087 grad_norm: 6.5406 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9595 loss: 0.9595 2022/08/04 16:45:46 - mmengine - INFO - Epoch(train) [137][1720/1879] lr: 1.0000e-03 eta: 1 day, 2:52:16 time: 0.4395 data_time: 0.0168 memory: 17087 grad_norm: 6.4644 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9405 loss: 0.9405 2022/08/04 16:45:55 - mmengine - INFO - Epoch(train) [137][1740/1879] lr: 1.0000e-03 eta: 1 day, 2:52:07 time: 0.4278 data_time: 0.0151 memory: 17087 grad_norm: 6.6079 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0096 loss: 1.0096 2022/08/04 16:46:04 - mmengine - INFO - Epoch(train) [137][1760/1879] lr: 1.0000e-03 eta: 1 day, 2:51:58 time: 0.4292 data_time: 0.0165 memory: 17087 grad_norm: 6.5374 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9393 loss: 0.9393 2022/08/04 16:46:12 - mmengine - INFO - Epoch(train) [137][1780/1879] lr: 1.0000e-03 eta: 1 day, 2:51:49 time: 0.4283 data_time: 0.0152 memory: 17087 grad_norm: 6.6669 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0430 loss: 1.0430 2022/08/04 16:46:21 - mmengine - INFO - Epoch(train) [137][1800/1879] lr: 1.0000e-03 eta: 1 day, 2:51:41 time: 0.4422 data_time: 0.0181 memory: 17087 grad_norm: 6.5963 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8853 loss: 0.8853 2022/08/04 16:46:30 - mmengine - INFO - Epoch(train) [137][1820/1879] lr: 1.0000e-03 eta: 1 day, 2:51:32 time: 0.4302 data_time: 0.0183 memory: 17087 grad_norm: 6.6003 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0162 loss: 1.0162 2022/08/04 16:46:39 - mmengine - INFO - Epoch(train) [137][1840/1879] lr: 1.0000e-03 eta: 1 day, 2:51:24 time: 0.4540 data_time: 0.0179 memory: 17087 grad_norm: 6.5309 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8409 loss: 0.8409 2022/08/04 16:46:47 - mmengine - INFO - Epoch(train) [137][1860/1879] lr: 1.0000e-03 eta: 1 day, 2:51:15 time: 0.4282 data_time: 0.0150 memory: 17087 grad_norm: 6.4820 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9048 loss: 0.9048 2022/08/04 16:46:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 16:46:55 - mmengine - INFO - Epoch(train) [137][1879/1879] lr: 1.0000e-03 eta: 1 day, 2:51:15 time: 0.4176 data_time: 0.0156 memory: 17087 grad_norm: 7.1520 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8901 loss: 0.8901 2022/08/04 16:47:07 - mmengine - INFO - Epoch(train) [138][20/1879] lr: 1.0000e-03 eta: 1 day, 2:50:54 time: 0.5627 data_time: 0.1112 memory: 17087 grad_norm: 6.6736 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0150 loss: 1.0150 2022/08/04 16:47:15 - mmengine - INFO - Epoch(train) [138][40/1879] lr: 1.0000e-03 eta: 1 day, 2:50:45 time: 0.4277 data_time: 0.0155 memory: 17087 grad_norm: 6.3525 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7059 loss: 0.7059 2022/08/04 16:47:24 - mmengine - INFO - Epoch(train) [138][60/1879] lr: 1.0000e-03 eta: 1 day, 2:50:36 time: 0.4466 data_time: 0.0136 memory: 17087 grad_norm: 6.4688 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9199 loss: 0.9199 2022/08/04 16:47:33 - mmengine - INFO - Epoch(train) [138][80/1879] lr: 1.0000e-03 eta: 1 day, 2:50:28 time: 0.4395 data_time: 0.0183 memory: 17087 grad_norm: 6.6665 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8435 loss: 0.8435 2022/08/04 16:47:41 - mmengine - INFO - Epoch(train) [138][100/1879] lr: 1.0000e-03 eta: 1 day, 2:50:19 time: 0.4299 data_time: 0.0162 memory: 17087 grad_norm: 6.5018 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8914 loss: 0.8914 2022/08/04 16:47:51 - mmengine - INFO - Epoch(train) [138][120/1879] lr: 1.0000e-03 eta: 1 day, 2:50:11 time: 0.4741 data_time: 0.0183 memory: 17087 grad_norm: 6.2937 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9452 loss: 0.9452 2022/08/04 16:48:00 - mmengine - INFO - Epoch(train) [138][140/1879] lr: 1.0000e-03 eta: 1 day, 2:50:03 time: 0.4268 data_time: 0.0145 memory: 17087 grad_norm: 6.3642 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9131 loss: 0.9131 2022/08/04 16:48:09 - mmengine - INFO - Epoch(train) [138][160/1879] lr: 1.0000e-03 eta: 1 day, 2:49:55 time: 0.4683 data_time: 0.0176 memory: 17087 grad_norm: 6.4462 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8613 loss: 0.8613 2022/08/04 16:48:17 - mmengine - INFO - Epoch(train) [138][180/1879] lr: 1.0000e-03 eta: 1 day, 2:49:46 time: 0.4290 data_time: 0.0146 memory: 17087 grad_norm: 6.6082 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9446 loss: 0.9446 2022/08/04 16:48:27 - mmengine - INFO - Epoch(train) [138][200/1879] lr: 1.0000e-03 eta: 1 day, 2:49:38 time: 0.4582 data_time: 0.0151 memory: 17087 grad_norm: 6.7795 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0504 loss: 1.0504 2022/08/04 16:48:35 - mmengine - INFO - Epoch(train) [138][220/1879] lr: 1.0000e-03 eta: 1 day, 2:49:29 time: 0.4329 data_time: 0.0140 memory: 17087 grad_norm: 6.4032 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9966 loss: 0.9966 2022/08/04 16:48:44 - mmengine - INFO - Epoch(train) [138][240/1879] lr: 1.0000e-03 eta: 1 day, 2:49:20 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 6.7473 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9652 loss: 0.9652 2022/08/04 16:48:53 - mmengine - INFO - Epoch(train) [138][260/1879] lr: 1.0000e-03 eta: 1 day, 2:49:12 time: 0.4758 data_time: 0.0172 memory: 17087 grad_norm: 6.5656 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9264 loss: 0.9264 2022/08/04 16:49:02 - mmengine - INFO - Epoch(train) [138][280/1879] lr: 1.0000e-03 eta: 1 day, 2:49:04 time: 0.4297 data_time: 0.0164 memory: 17087 grad_norm: 6.6552 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8101 loss: 0.8101 2022/08/04 16:49:11 - mmengine - INFO - Epoch(train) [138][300/1879] lr: 1.0000e-03 eta: 1 day, 2:48:56 time: 0.4683 data_time: 0.0168 memory: 17087 grad_norm: 6.5796 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0419 loss: 1.0419 2022/08/04 16:49:20 - mmengine - INFO - Epoch(train) [138][320/1879] lr: 1.0000e-03 eta: 1 day, 2:48:47 time: 0.4299 data_time: 0.0166 memory: 17087 grad_norm: 6.6043 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9430 loss: 0.9430 2022/08/04 16:49:29 - mmengine - INFO - Epoch(train) [138][340/1879] lr: 1.0000e-03 eta: 1 day, 2:48:38 time: 0.4350 data_time: 0.0168 memory: 17087 grad_norm: 6.4358 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8291 loss: 0.8291 2022/08/04 16:49:37 - mmengine - INFO - Epoch(train) [138][360/1879] lr: 1.0000e-03 eta: 1 day, 2:48:30 time: 0.4310 data_time: 0.0164 memory: 17087 grad_norm: 6.3635 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0514 loss: 1.0514 2022/08/04 16:49:46 - mmengine - INFO - Epoch(train) [138][380/1879] lr: 1.0000e-03 eta: 1 day, 2:48:21 time: 0.4369 data_time: 0.0149 memory: 17087 grad_norm: 6.5299 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8501 loss: 0.8501 2022/08/04 16:49:55 - mmengine - INFO - Epoch(train) [138][400/1879] lr: 1.0000e-03 eta: 1 day, 2:48:13 time: 0.4615 data_time: 0.0162 memory: 17087 grad_norm: 6.4489 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7949 loss: 0.7949 2022/08/04 16:50:04 - mmengine - INFO - Epoch(train) [138][420/1879] lr: 1.0000e-03 eta: 1 day, 2:48:04 time: 0.4304 data_time: 0.0154 memory: 17087 grad_norm: 6.5484 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9897 loss: 0.9897 2022/08/04 16:50:13 - mmengine - INFO - Epoch(train) [138][440/1879] lr: 1.0000e-03 eta: 1 day, 2:47:56 time: 0.4313 data_time: 0.0165 memory: 17087 grad_norm: 6.5321 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9999 loss: 0.9999 2022/08/04 16:50:22 - mmengine - INFO - Epoch(train) [138][460/1879] lr: 1.0000e-03 eta: 1 day, 2:47:47 time: 0.4460 data_time: 0.0163 memory: 17087 grad_norm: 6.5515 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8060 loss: 0.8060 2022/08/04 16:50:30 - mmengine - INFO - Epoch(train) [138][480/1879] lr: 1.0000e-03 eta: 1 day, 2:47:39 time: 0.4327 data_time: 0.0166 memory: 17087 grad_norm: 6.4542 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8870 loss: 0.8870 2022/08/04 16:50:40 - mmengine - INFO - Epoch(train) [138][500/1879] lr: 1.0000e-03 eta: 1 day, 2:47:30 time: 0.4610 data_time: 0.0158 memory: 17087 grad_norm: 6.5992 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8841 loss: 0.8841 2022/08/04 16:50:48 - mmengine - INFO - Epoch(train) [138][520/1879] lr: 1.0000e-03 eta: 1 day, 2:47:22 time: 0.4358 data_time: 0.0156 memory: 17087 grad_norm: 6.4923 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0759 loss: 1.0759 2022/08/04 16:50:57 - mmengine - INFO - Epoch(train) [138][540/1879] lr: 1.0000e-03 eta: 1 day, 2:47:13 time: 0.4434 data_time: 0.0177 memory: 17087 grad_norm: 6.4849 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8972 loss: 0.8972 2022/08/04 16:51:06 - mmengine - INFO - Epoch(train) [138][560/1879] lr: 1.0000e-03 eta: 1 day, 2:47:05 time: 0.4293 data_time: 0.0184 memory: 17087 grad_norm: 6.5604 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9240 loss: 0.9240 2022/08/04 16:51:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 16:51:15 - mmengine - INFO - Epoch(train) [138][580/1879] lr: 1.0000e-03 eta: 1 day, 2:46:57 time: 0.4566 data_time: 0.0222 memory: 17087 grad_norm: 6.6882 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9100 loss: 0.9100 2022/08/04 16:51:23 - mmengine - INFO - Epoch(train) [138][600/1879] lr: 1.0000e-03 eta: 1 day, 2:46:48 time: 0.4287 data_time: 0.0156 memory: 17087 grad_norm: 6.5437 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9589 loss: 0.9589 2022/08/04 16:51:32 - mmengine - INFO - Epoch(train) [138][620/1879] lr: 1.0000e-03 eta: 1 day, 2:46:39 time: 0.4466 data_time: 0.0149 memory: 17087 grad_norm: 6.5507 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2029 loss: 1.2029 2022/08/04 16:51:41 - mmengine - INFO - Epoch(train) [138][640/1879] lr: 1.0000e-03 eta: 1 day, 2:46:31 time: 0.4286 data_time: 0.0161 memory: 17087 grad_norm: 6.5465 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0961 loss: 1.0961 2022/08/04 16:51:51 - mmengine - INFO - Epoch(train) [138][660/1879] lr: 1.0000e-03 eta: 1 day, 2:46:23 time: 0.4848 data_time: 0.0172 memory: 17087 grad_norm: 6.5724 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8363 loss: 0.8363 2022/08/04 16:51:59 - mmengine - INFO - Epoch(train) [138][680/1879] lr: 1.0000e-03 eta: 1 day, 2:46:14 time: 0.4290 data_time: 0.0179 memory: 17087 grad_norm: 6.3736 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0078 loss: 1.0078 2022/08/04 16:52:09 - mmengine - INFO - Epoch(train) [138][700/1879] lr: 1.0000e-03 eta: 1 day, 2:46:06 time: 0.4738 data_time: 0.0156 memory: 17087 grad_norm: 6.7637 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9590 loss: 0.9590 2022/08/04 16:52:17 - mmengine - INFO - Epoch(train) [138][720/1879] lr: 1.0000e-03 eta: 1 day, 2:45:58 time: 0.4269 data_time: 0.0147 memory: 17087 grad_norm: 6.5818 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0082 loss: 1.0082 2022/08/04 16:52:26 - mmengine - INFO - Epoch(train) [138][740/1879] lr: 1.0000e-03 eta: 1 day, 2:45:49 time: 0.4287 data_time: 0.0149 memory: 17087 grad_norm: 6.4237 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8732 loss: 0.8732 2022/08/04 16:52:35 - mmengine - INFO - Epoch(train) [138][760/1879] lr: 1.0000e-03 eta: 1 day, 2:45:40 time: 0.4415 data_time: 0.0163 memory: 17087 grad_norm: 6.8086 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0157 loss: 1.0157 2022/08/04 16:52:43 - mmengine - INFO - Epoch(train) [138][780/1879] lr: 1.0000e-03 eta: 1 day, 2:45:32 time: 0.4271 data_time: 0.0130 memory: 17087 grad_norm: 6.7929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0535 loss: 1.0535 2022/08/04 16:52:52 - mmengine - INFO - Epoch(train) [138][800/1879] lr: 1.0000e-03 eta: 1 day, 2:45:23 time: 0.4389 data_time: 0.0213 memory: 17087 grad_norm: 6.6449 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1269 loss: 1.1269 2022/08/04 16:53:01 - mmengine - INFO - Epoch(train) [138][820/1879] lr: 1.0000e-03 eta: 1 day, 2:45:14 time: 0.4314 data_time: 0.0176 memory: 17087 grad_norm: 6.6081 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7396 loss: 0.7396 2022/08/04 16:53:10 - mmengine - INFO - Epoch(train) [138][840/1879] lr: 1.0000e-03 eta: 1 day, 2:45:06 time: 0.4379 data_time: 0.0178 memory: 17087 grad_norm: 6.2872 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8246 loss: 0.8246 2022/08/04 16:53:18 - mmengine - INFO - Epoch(train) [138][860/1879] lr: 1.0000e-03 eta: 1 day, 2:44:57 time: 0.4288 data_time: 0.0159 memory: 17087 grad_norm: 6.6017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0625 loss: 1.0625 2022/08/04 16:53:27 - mmengine - INFO - Epoch(train) [138][880/1879] lr: 1.0000e-03 eta: 1 day, 2:44:49 time: 0.4671 data_time: 0.0181 memory: 17087 grad_norm: 6.3069 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8822 loss: 0.8822 2022/08/04 16:53:36 - mmengine - INFO - Epoch(train) [138][900/1879] lr: 1.0000e-03 eta: 1 day, 2:44:40 time: 0.4282 data_time: 0.0143 memory: 17087 grad_norm: 6.4783 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8375 loss: 0.8375 2022/08/04 16:53:45 - mmengine - INFO - Epoch(train) [138][920/1879] lr: 1.0000e-03 eta: 1 day, 2:44:32 time: 0.4283 data_time: 0.0153 memory: 17087 grad_norm: 6.5869 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7777 loss: 0.7777 2022/08/04 16:53:54 - mmengine - INFO - Epoch(train) [138][940/1879] lr: 1.0000e-03 eta: 1 day, 2:44:24 time: 0.4580 data_time: 0.0169 memory: 17087 grad_norm: 6.7067 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9229 loss: 0.9229 2022/08/04 16:54:02 - mmengine - INFO - Epoch(train) [138][960/1879] lr: 1.0000e-03 eta: 1 day, 2:44:15 time: 0.4297 data_time: 0.0186 memory: 17087 grad_norm: 6.5549 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.7589 loss: 0.7589 2022/08/04 16:54:11 - mmengine - INFO - Epoch(train) [138][980/1879] lr: 1.0000e-03 eta: 1 day, 2:44:06 time: 0.4463 data_time: 0.0191 memory: 17087 grad_norm: 6.6317 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8363 loss: 0.8363 2022/08/04 16:54:20 - mmengine - INFO - Epoch(train) [138][1000/1879] lr: 1.0000e-03 eta: 1 day, 2:43:58 time: 0.4337 data_time: 0.0193 memory: 17087 grad_norm: 6.6198 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0286 loss: 1.0286 2022/08/04 16:54:29 - mmengine - INFO - Epoch(train) [138][1020/1879] lr: 1.0000e-03 eta: 1 day, 2:43:49 time: 0.4339 data_time: 0.0173 memory: 17087 grad_norm: 6.2982 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8044 loss: 0.8044 2022/08/04 16:54:37 - mmengine - INFO - Epoch(train) [138][1040/1879] lr: 1.0000e-03 eta: 1 day, 2:43:40 time: 0.4297 data_time: 0.0159 memory: 17087 grad_norm: 6.5205 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 1.0606 loss: 1.0606 2022/08/04 16:54:46 - mmengine - INFO - Epoch(train) [138][1060/1879] lr: 1.0000e-03 eta: 1 day, 2:43:32 time: 0.4265 data_time: 0.0143 memory: 17087 grad_norm: 6.4939 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8854 loss: 0.8854 2022/08/04 16:54:55 - mmengine - INFO - Epoch(train) [138][1080/1879] lr: 1.0000e-03 eta: 1 day, 2:43:23 time: 0.4413 data_time: 0.0177 memory: 17087 grad_norm: 6.5733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8668 loss: 0.8668 2022/08/04 16:55:03 - mmengine - INFO - Epoch(train) [138][1100/1879] lr: 1.0000e-03 eta: 1 day, 2:43:15 time: 0.4282 data_time: 0.0151 memory: 17087 grad_norm: 6.5266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8064 loss: 0.8064 2022/08/04 16:55:13 - mmengine - INFO - Epoch(train) [138][1120/1879] lr: 1.0000e-03 eta: 1 day, 2:43:07 time: 0.4728 data_time: 0.0149 memory: 17087 grad_norm: 6.3769 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8712 loss: 0.8712 2022/08/04 16:55:21 - mmengine - INFO - Epoch(train) [138][1140/1879] lr: 1.0000e-03 eta: 1 day, 2:42:58 time: 0.4288 data_time: 0.0153 memory: 17087 grad_norm: 6.6341 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8524 loss: 0.8524 2022/08/04 16:55:30 - mmengine - INFO - Epoch(train) [138][1160/1879] lr: 1.0000e-03 eta: 1 day, 2:42:49 time: 0.4422 data_time: 0.0199 memory: 17087 grad_norm: 6.8465 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1339 loss: 1.1339 2022/08/04 16:55:39 - mmengine - INFO - Epoch(train) [138][1180/1879] lr: 1.0000e-03 eta: 1 day, 2:42:41 time: 0.4296 data_time: 0.0163 memory: 17087 grad_norm: 6.6416 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9515 loss: 0.9515 2022/08/04 16:55:48 - mmengine - INFO - Epoch(train) [138][1200/1879] lr: 1.0000e-03 eta: 1 day, 2:42:33 time: 0.4624 data_time: 0.0148 memory: 17087 grad_norm: 6.6093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9957 loss: 0.9957 2022/08/04 16:55:57 - mmengine - INFO - Epoch(train) [138][1220/1879] lr: 1.0000e-03 eta: 1 day, 2:42:24 time: 0.4288 data_time: 0.0147 memory: 17087 grad_norm: 6.6219 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8705 loss: 0.8705 2022/08/04 16:56:05 - mmengine - INFO - Epoch(train) [138][1240/1879] lr: 1.0000e-03 eta: 1 day, 2:42:15 time: 0.4306 data_time: 0.0164 memory: 17087 grad_norm: 6.4147 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9235 loss: 0.9235 2022/08/04 16:56:14 - mmengine - INFO - Epoch(train) [138][1260/1879] lr: 1.0000e-03 eta: 1 day, 2:42:06 time: 0.4300 data_time: 0.0178 memory: 17087 grad_norm: 6.7669 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 0.9920 loss: 0.9920 2022/08/04 16:56:23 - mmengine - INFO - Epoch(train) [138][1280/1879] lr: 1.0000e-03 eta: 1 day, 2:41:58 time: 0.4430 data_time: 0.0187 memory: 17087 grad_norm: 6.4711 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9455 loss: 0.9455 2022/08/04 16:56:31 - mmengine - INFO - Epoch(train) [138][1300/1879] lr: 1.0000e-03 eta: 1 day, 2:41:49 time: 0.4272 data_time: 0.0152 memory: 17087 grad_norm: 6.7960 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9540 loss: 0.9540 2022/08/04 16:56:41 - mmengine - INFO - Epoch(train) [138][1320/1879] lr: 1.0000e-03 eta: 1 day, 2:41:41 time: 0.4669 data_time: 0.0177 memory: 17087 grad_norm: 6.7927 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9190 loss: 0.9190 2022/08/04 16:56:49 - mmengine - INFO - Epoch(train) [138][1340/1879] lr: 1.0000e-03 eta: 1 day, 2:41:33 time: 0.4293 data_time: 0.0149 memory: 17087 grad_norm: 6.7501 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1141 loss: 1.1141 2022/08/04 16:56:59 - mmengine - INFO - Epoch(train) [138][1360/1879] lr: 1.0000e-03 eta: 1 day, 2:41:25 time: 0.4703 data_time: 0.0168 memory: 17087 grad_norm: 6.4724 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8805 loss: 0.8805 2022/08/04 16:57:07 - mmengine - INFO - Epoch(train) [138][1380/1879] lr: 1.0000e-03 eta: 1 day, 2:41:16 time: 0.4281 data_time: 0.0154 memory: 17087 grad_norm: 6.5002 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8926 loss: 0.8926 2022/08/04 16:57:16 - mmengine - INFO - Epoch(train) [138][1400/1879] lr: 1.0000e-03 eta: 1 day, 2:41:07 time: 0.4292 data_time: 0.0160 memory: 17087 grad_norm: 6.8575 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9850 loss: 0.9850 2022/08/04 16:57:25 - mmengine - INFO - Epoch(train) [138][1420/1879] lr: 1.0000e-03 eta: 1 day, 2:40:59 time: 0.4478 data_time: 0.0157 memory: 17087 grad_norm: 6.4769 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8800 loss: 0.8800 2022/08/04 16:57:34 - mmengine - INFO - Epoch(train) [138][1440/1879] lr: 1.0000e-03 eta: 1 day, 2:40:50 time: 0.4322 data_time: 0.0177 memory: 17087 grad_norm: 6.6083 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9094 loss: 0.9094 2022/08/04 16:57:42 - mmengine - INFO - Epoch(train) [138][1460/1879] lr: 1.0000e-03 eta: 1 day, 2:40:41 time: 0.4302 data_time: 0.0146 memory: 17087 grad_norm: 6.7391 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9434 loss: 0.9434 2022/08/04 16:57:51 - mmengine - INFO - Epoch(train) [138][1480/1879] lr: 1.0000e-03 eta: 1 day, 2:40:33 time: 0.4408 data_time: 0.0184 memory: 17087 grad_norm: 6.4624 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9273 loss: 0.9273 2022/08/04 16:58:00 - mmengine - INFO - Epoch(train) [138][1500/1879] lr: 1.0000e-03 eta: 1 day, 2:40:24 time: 0.4291 data_time: 0.0154 memory: 17087 grad_norm: 6.5653 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0827 loss: 1.0827 2022/08/04 16:58:09 - mmengine - INFO - Epoch(train) [138][1520/1879] lr: 1.0000e-03 eta: 1 day, 2:40:16 time: 0.4575 data_time: 0.0179 memory: 17087 grad_norm: 6.3861 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8857 loss: 0.8857 2022/08/04 16:58:17 - mmengine - INFO - Epoch(train) [138][1540/1879] lr: 1.0000e-03 eta: 1 day, 2:40:07 time: 0.4331 data_time: 0.0193 memory: 17087 grad_norm: 6.5273 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8811 loss: 0.8811 2022/08/04 16:58:26 - mmengine - INFO - Epoch(train) [138][1560/1879] lr: 1.0000e-03 eta: 1 day, 2:39:59 time: 0.4285 data_time: 0.0160 memory: 17087 grad_norm: 6.3961 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7793 loss: 0.7793 2022/08/04 16:58:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 16:58:35 - mmengine - INFO - Epoch(train) [138][1580/1879] lr: 1.0000e-03 eta: 1 day, 2:39:50 time: 0.4313 data_time: 0.0150 memory: 17087 grad_norm: 6.4509 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8471 loss: 0.8471 2022/08/04 16:58:43 - mmengine - INFO - Epoch(train) [138][1600/1879] lr: 1.0000e-03 eta: 1 day, 2:39:41 time: 0.4288 data_time: 0.0158 memory: 17087 grad_norm: 6.6658 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8912 loss: 0.8912 2022/08/04 16:58:52 - mmengine - INFO - Epoch(train) [138][1620/1879] lr: 1.0000e-03 eta: 1 day, 2:39:33 time: 0.4294 data_time: 0.0154 memory: 17087 grad_norm: 6.5331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8910 loss: 0.8910 2022/08/04 16:59:01 - mmengine - INFO - Epoch(train) [138][1640/1879] lr: 1.0000e-03 eta: 1 day, 2:39:24 time: 0.4366 data_time: 0.0164 memory: 17087 grad_norm: 6.6163 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0800 loss: 1.0800 2022/08/04 16:59:10 - mmengine - INFO - Epoch(train) [138][1660/1879] lr: 1.0000e-03 eta: 1 day, 2:39:16 time: 0.4486 data_time: 0.0160 memory: 17087 grad_norm: 6.8597 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0142 loss: 1.0142 2022/08/04 16:59:18 - mmengine - INFO - Epoch(train) [138][1680/1879] lr: 1.0000e-03 eta: 1 day, 2:39:07 time: 0.4419 data_time: 0.0168 memory: 17087 grad_norm: 6.6808 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9281 loss: 0.9281 2022/08/04 16:59:27 - mmengine - INFO - Epoch(train) [138][1700/1879] lr: 1.0000e-03 eta: 1 day, 2:38:58 time: 0.4314 data_time: 0.0181 memory: 17087 grad_norm: 6.6981 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9159 loss: 0.9159 2022/08/04 16:59:36 - mmengine - INFO - Epoch(train) [138][1720/1879] lr: 1.0000e-03 eta: 1 day, 2:38:50 time: 0.4292 data_time: 0.0155 memory: 17087 grad_norm: 6.7287 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1096 loss: 1.1096 2022/08/04 16:59:44 - mmengine - INFO - Epoch(train) [138][1740/1879] lr: 1.0000e-03 eta: 1 day, 2:38:41 time: 0.4276 data_time: 0.0126 memory: 17087 grad_norm: 6.4818 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7366 loss: 0.7366 2022/08/04 16:59:53 - mmengine - INFO - Epoch(train) [138][1760/1879] lr: 1.0000e-03 eta: 1 day, 2:38:32 time: 0.4362 data_time: 0.0162 memory: 17087 grad_norm: 6.6081 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8704 loss: 0.8704 2022/08/04 17:00:02 - mmengine - INFO - Epoch(train) [138][1780/1879] lr: 1.0000e-03 eta: 1 day, 2:38:24 time: 0.4401 data_time: 0.0148 memory: 17087 grad_norm: 6.4845 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8244 loss: 0.8244 2022/08/04 17:00:11 - mmengine - INFO - Epoch(train) [138][1800/1879] lr: 1.0000e-03 eta: 1 day, 2:38:15 time: 0.4384 data_time: 0.0216 memory: 17087 grad_norm: 6.4121 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0772 loss: 1.0772 2022/08/04 17:00:19 - mmengine - INFO - Epoch(train) [138][1820/1879] lr: 1.0000e-03 eta: 1 day, 2:38:07 time: 0.4288 data_time: 0.0153 memory: 17087 grad_norm: 6.5278 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7781 loss: 0.7781 2022/08/04 17:00:29 - mmengine - INFO - Epoch(train) [138][1840/1879] lr: 1.0000e-03 eta: 1 day, 2:37:59 time: 0.4678 data_time: 0.0190 memory: 17087 grad_norm: 6.5078 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0901 loss: 1.0901 2022/08/04 17:00:37 - mmengine - INFO - Epoch(train) [138][1860/1879] lr: 1.0000e-03 eta: 1 day, 2:37:50 time: 0.4258 data_time: 0.0145 memory: 17087 grad_norm: 6.4279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8805 loss: 0.8805 2022/08/04 17:00:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 17:00:45 - mmengine - INFO - Epoch(train) [138][1879/1879] lr: 1.0000e-03 eta: 1 day, 2:37:50 time: 0.4152 data_time: 0.0205 memory: 17087 grad_norm: 6.9393 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 1.0616 loss: 1.0616 2022/08/04 17:00:56 - mmengine - INFO - Epoch(train) [139][20/1879] lr: 1.0000e-03 eta: 1 day, 2:37:28 time: 0.5661 data_time: 0.1074 memory: 17087 grad_norm: 6.7271 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8427 loss: 0.8427 2022/08/04 17:01:05 - mmengine - INFO - Epoch(train) [139][40/1879] lr: 1.0000e-03 eta: 1 day, 2:37:20 time: 0.4312 data_time: 0.0184 memory: 17087 grad_norm: 6.4609 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0337 loss: 1.0337 2022/08/04 17:01:14 - mmengine - INFO - Epoch(train) [139][60/1879] lr: 1.0000e-03 eta: 1 day, 2:37:11 time: 0.4271 data_time: 0.0148 memory: 17087 grad_norm: 6.6245 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9995 loss: 0.9995 2022/08/04 17:01:23 - mmengine - INFO - Epoch(train) [139][80/1879] lr: 1.0000e-03 eta: 1 day, 2:37:03 time: 0.4474 data_time: 0.0170 memory: 17087 grad_norm: 6.7136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0049 loss: 1.0049 2022/08/04 17:01:32 - mmengine - INFO - Epoch(train) [139][100/1879] lr: 1.0000e-03 eta: 1 day, 2:36:54 time: 0.4557 data_time: 0.0182 memory: 17087 grad_norm: 6.5707 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0483 loss: 1.0483 2022/08/04 17:01:40 - mmengine - INFO - Epoch(train) [139][120/1879] lr: 1.0000e-03 eta: 1 day, 2:36:46 time: 0.4312 data_time: 0.0160 memory: 17087 grad_norm: 6.5692 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8347 loss: 0.8347 2022/08/04 17:01:49 - mmengine - INFO - Epoch(train) [139][140/1879] lr: 1.0000e-03 eta: 1 day, 2:36:37 time: 0.4344 data_time: 0.0154 memory: 17087 grad_norm: 6.6818 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9357 loss: 0.9357 2022/08/04 17:01:58 - mmengine - INFO - Epoch(train) [139][160/1879] lr: 1.0000e-03 eta: 1 day, 2:36:28 time: 0.4304 data_time: 0.0154 memory: 17087 grad_norm: 6.5896 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9632 loss: 0.9632 2022/08/04 17:02:06 - mmengine - INFO - Epoch(train) [139][180/1879] lr: 1.0000e-03 eta: 1 day, 2:36:20 time: 0.4272 data_time: 0.0144 memory: 17087 grad_norm: 6.6376 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8328 loss: 0.8328 2022/08/04 17:02:15 - mmengine - INFO - Epoch(train) [139][200/1879] lr: 1.0000e-03 eta: 1 day, 2:36:11 time: 0.4394 data_time: 0.0158 memory: 17087 grad_norm: 6.2710 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8405 loss: 0.8405 2022/08/04 17:02:24 - mmengine - INFO - Epoch(train) [139][220/1879] lr: 1.0000e-03 eta: 1 day, 2:36:03 time: 0.4598 data_time: 0.0180 memory: 17087 grad_norm: 6.5901 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8758 loss: 0.8758 2022/08/04 17:02:33 - mmengine - INFO - Epoch(train) [139][240/1879] lr: 1.0000e-03 eta: 1 day, 2:35:54 time: 0.4301 data_time: 0.0173 memory: 17087 grad_norm: 6.5968 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9203 loss: 0.9203 2022/08/04 17:02:42 - mmengine - INFO - Epoch(train) [139][260/1879] lr: 1.0000e-03 eta: 1 day, 2:35:46 time: 0.4398 data_time: 0.0158 memory: 17087 grad_norm: 6.7466 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7628 loss: 0.7628 2022/08/04 17:02:50 - mmengine - INFO - Epoch(train) [139][280/1879] lr: 1.0000e-03 eta: 1 day, 2:35:37 time: 0.4378 data_time: 0.0180 memory: 17087 grad_norm: 6.4345 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8251 loss: 0.8251 2022/08/04 17:02:59 - mmengine - INFO - Epoch(train) [139][300/1879] lr: 1.0000e-03 eta: 1 day, 2:35:29 time: 0.4348 data_time: 0.0167 memory: 17087 grad_norm: 6.5605 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8632 loss: 0.8632 2022/08/04 17:03:08 - mmengine - INFO - Epoch(train) [139][320/1879] lr: 1.0000e-03 eta: 1 day, 2:35:20 time: 0.4293 data_time: 0.0160 memory: 17087 grad_norm: 6.5119 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9042 loss: 0.9042 2022/08/04 17:03:16 - mmengine - INFO - Epoch(train) [139][340/1879] lr: 1.0000e-03 eta: 1 day, 2:35:11 time: 0.4302 data_time: 0.0165 memory: 17087 grad_norm: 6.4955 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8595 loss: 0.8595 2022/08/04 17:03:25 - mmengine - INFO - Epoch(train) [139][360/1879] lr: 1.0000e-03 eta: 1 day, 2:35:03 time: 0.4533 data_time: 0.0159 memory: 17087 grad_norm: 6.7180 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8967 loss: 0.8967 2022/08/04 17:03:34 - mmengine - INFO - Epoch(train) [139][380/1879] lr: 1.0000e-03 eta: 1 day, 2:34:54 time: 0.4440 data_time: 0.0147 memory: 17087 grad_norm: 6.5660 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0640 loss: 1.0640 2022/08/04 17:03:43 - mmengine - INFO - Epoch(train) [139][400/1879] lr: 1.0000e-03 eta: 1 day, 2:34:46 time: 0.4309 data_time: 0.0163 memory: 17087 grad_norm: 6.4940 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9289 loss: 0.9289 2022/08/04 17:03:52 - mmengine - INFO - Epoch(train) [139][420/1879] lr: 1.0000e-03 eta: 1 day, 2:34:38 time: 0.4630 data_time: 0.0135 memory: 17087 grad_norm: 6.8142 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0663 loss: 1.0663 2022/08/04 17:04:01 - mmengine - INFO - Epoch(train) [139][440/1879] lr: 1.0000e-03 eta: 1 day, 2:34:29 time: 0.4302 data_time: 0.0166 memory: 17087 grad_norm: 6.7682 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.1419 loss: 1.1419 2022/08/04 17:04:10 - mmengine - INFO - Epoch(train) [139][460/1879] lr: 1.0000e-03 eta: 1 day, 2:34:21 time: 0.4534 data_time: 0.0155 memory: 17087 grad_norm: 6.6103 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9552 loss: 0.9552 2022/08/04 17:04:19 - mmengine - INFO - Epoch(train) [139][480/1879] lr: 1.0000e-03 eta: 1 day, 2:34:12 time: 0.4274 data_time: 0.0163 memory: 17087 grad_norm: 6.6659 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9011 loss: 0.9011 2022/08/04 17:04:27 - mmengine - INFO - Epoch(train) [139][500/1879] lr: 1.0000e-03 eta: 1 day, 2:34:03 time: 0.4283 data_time: 0.0158 memory: 17087 grad_norm: 6.7093 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0036 loss: 1.0036 2022/08/04 17:04:36 - mmengine - INFO - Epoch(train) [139][520/1879] lr: 1.0000e-03 eta: 1 day, 2:33:54 time: 0.4291 data_time: 0.0160 memory: 17087 grad_norm: 6.3825 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8507 loss: 0.8507 2022/08/04 17:04:44 - mmengine - INFO - Epoch(train) [139][540/1879] lr: 1.0000e-03 eta: 1 day, 2:33:46 time: 0.4307 data_time: 0.0152 memory: 17087 grad_norm: 6.4595 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8036 loss: 0.8036 2022/08/04 17:04:53 - mmengine - INFO - Epoch(train) [139][560/1879] lr: 1.0000e-03 eta: 1 day, 2:33:37 time: 0.4302 data_time: 0.0161 memory: 17087 grad_norm: 6.5116 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1431 loss: 1.1431 2022/08/04 17:05:02 - mmengine - INFO - Epoch(train) [139][580/1879] lr: 1.0000e-03 eta: 1 day, 2:33:29 time: 0.4453 data_time: 0.0152 memory: 17087 grad_norm: 6.6031 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9786 loss: 0.9786 2022/08/04 17:05:11 - mmengine - INFO - Epoch(train) [139][600/1879] lr: 1.0000e-03 eta: 1 day, 2:33:20 time: 0.4361 data_time: 0.0154 memory: 17087 grad_norm: 6.7101 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9322 loss: 0.9322 2022/08/04 17:05:20 - mmengine - INFO - Epoch(train) [139][620/1879] lr: 1.0000e-03 eta: 1 day, 2:33:12 time: 0.4537 data_time: 0.0173 memory: 17087 grad_norm: 6.6580 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8018 loss: 0.8018 2022/08/04 17:05:28 - mmengine - INFO - Epoch(train) [139][640/1879] lr: 1.0000e-03 eta: 1 day, 2:33:03 time: 0.4279 data_time: 0.0152 memory: 17087 grad_norm: 6.6272 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9506 loss: 0.9506 2022/08/04 17:05:37 - mmengine - INFO - Epoch(train) [139][660/1879] lr: 1.0000e-03 eta: 1 day, 2:32:54 time: 0.4259 data_time: 0.0131 memory: 17087 grad_norm: 6.6119 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0615 loss: 1.0615 2022/08/04 17:05:46 - mmengine - INFO - Epoch(train) [139][680/1879] lr: 1.0000e-03 eta: 1 day, 2:32:46 time: 0.4572 data_time: 0.0179 memory: 17087 grad_norm: 6.5733 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8750 loss: 0.8750 2022/08/04 17:05:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 17:05:55 - mmengine - INFO - Epoch(train) [139][700/1879] lr: 1.0000e-03 eta: 1 day, 2:32:37 time: 0.4287 data_time: 0.0153 memory: 17087 grad_norm: 6.6624 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9484 loss: 0.9484 2022/08/04 17:06:03 - mmengine - INFO - Epoch(train) [139][720/1879] lr: 1.0000e-03 eta: 1 day, 2:32:29 time: 0.4391 data_time: 0.0173 memory: 17087 grad_norm: 6.4405 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9925 loss: 0.9925 2022/08/04 17:06:12 - mmengine - INFO - Epoch(train) [139][740/1879] lr: 1.0000e-03 eta: 1 day, 2:32:20 time: 0.4297 data_time: 0.0152 memory: 17087 grad_norm: 6.1874 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7987 loss: 0.7987 2022/08/04 17:06:21 - mmengine - INFO - Epoch(train) [139][760/1879] lr: 1.0000e-03 eta: 1 day, 2:32:12 time: 0.4593 data_time: 0.0176 memory: 17087 grad_norm: 6.3875 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0046 loss: 1.0046 2022/08/04 17:06:30 - mmengine - INFO - Epoch(train) [139][780/1879] lr: 1.0000e-03 eta: 1 day, 2:32:03 time: 0.4291 data_time: 0.0160 memory: 17087 grad_norm: 6.4877 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9588 loss: 0.9588 2022/08/04 17:06:39 - mmengine - INFO - Epoch(train) [139][800/1879] lr: 1.0000e-03 eta: 1 day, 2:31:55 time: 0.4587 data_time: 0.0168 memory: 17087 grad_norm: 6.5935 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8319 loss: 0.8319 2022/08/04 17:06:48 - mmengine - INFO - Epoch(train) [139][820/1879] lr: 1.0000e-03 eta: 1 day, 2:31:46 time: 0.4273 data_time: 0.0139 memory: 17087 grad_norm: 6.8087 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9632 loss: 0.9632 2022/08/04 17:06:56 - mmengine - INFO - Epoch(train) [139][840/1879] lr: 1.0000e-03 eta: 1 day, 2:31:38 time: 0.4301 data_time: 0.0181 memory: 17087 grad_norm: 6.5760 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0062 loss: 1.0062 2022/08/04 17:07:05 - mmengine - INFO - Epoch(train) [139][860/1879] lr: 1.0000e-03 eta: 1 day, 2:31:29 time: 0.4279 data_time: 0.0132 memory: 17087 grad_norm: 6.5037 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9348 loss: 0.9348 2022/08/04 17:07:13 - mmengine - INFO - Epoch(train) [139][880/1879] lr: 1.0000e-03 eta: 1 day, 2:31:20 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 6.4762 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9564 loss: 0.9564 2022/08/04 17:07:22 - mmengine - INFO - Epoch(train) [139][900/1879] lr: 1.0000e-03 eta: 1 day, 2:31:12 time: 0.4290 data_time: 0.0198 memory: 17087 grad_norm: 6.6904 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9829 loss: 0.9829 2022/08/04 17:07:31 - mmengine - INFO - Epoch(train) [139][920/1879] lr: 1.0000e-03 eta: 1 day, 2:31:04 time: 0.4696 data_time: 0.0169 memory: 17087 grad_norm: 6.5858 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8507 loss: 0.8507 2022/08/04 17:07:40 - mmengine - INFO - Epoch(train) [139][940/1879] lr: 1.0000e-03 eta: 1 day, 2:30:55 time: 0.4295 data_time: 0.0147 memory: 17087 grad_norm: 6.7716 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0168 loss: 1.0168 2022/08/04 17:07:49 - mmengine - INFO - Epoch(train) [139][960/1879] lr: 1.0000e-03 eta: 1 day, 2:30:47 time: 0.4607 data_time: 0.0165 memory: 17087 grad_norm: 6.6561 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9815 loss: 0.9815 2022/08/04 17:07:58 - mmengine - INFO - Epoch(train) [139][980/1879] lr: 1.0000e-03 eta: 1 day, 2:30:38 time: 0.4299 data_time: 0.0185 memory: 17087 grad_norm: 6.5207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9527 loss: 0.9527 2022/08/04 17:08:06 - mmengine - INFO - Epoch(train) [139][1000/1879] lr: 1.0000e-03 eta: 1 day, 2:30:29 time: 0.4285 data_time: 0.0153 memory: 17087 grad_norm: 6.6526 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0669 loss: 1.0669 2022/08/04 17:08:15 - mmengine - INFO - Epoch(train) [139][1020/1879] lr: 1.0000e-03 eta: 1 day, 2:30:21 time: 0.4489 data_time: 0.0179 memory: 17087 grad_norm: 6.5606 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8274 loss: 0.8274 2022/08/04 17:08:24 - mmengine - INFO - Epoch(train) [139][1040/1879] lr: 1.0000e-03 eta: 1 day, 2:30:12 time: 0.4289 data_time: 0.0160 memory: 17087 grad_norm: 6.5822 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0001 loss: 1.0001 2022/08/04 17:08:33 - mmengine - INFO - Epoch(train) [139][1060/1879] lr: 1.0000e-03 eta: 1 day, 2:30:04 time: 0.4413 data_time: 0.0156 memory: 17087 grad_norm: 6.9198 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0894 loss: 1.0894 2022/08/04 17:08:41 - mmengine - INFO - Epoch(train) [139][1080/1879] lr: 1.0000e-03 eta: 1 day, 2:29:55 time: 0.4274 data_time: 0.0158 memory: 17087 grad_norm: 6.4519 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8923 loss: 0.8923 2022/08/04 17:08:51 - mmengine - INFO - Epoch(train) [139][1100/1879] lr: 1.0000e-03 eta: 1 day, 2:29:47 time: 0.4774 data_time: 0.0177 memory: 17087 grad_norm: 6.6184 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7756 loss: 0.7756 2022/08/04 17:09:00 - mmengine - INFO - Epoch(train) [139][1120/1879] lr: 1.0000e-03 eta: 1 day, 2:29:38 time: 0.4314 data_time: 0.0174 memory: 17087 grad_norm: 6.7070 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8482 loss: 0.8482 2022/08/04 17:09:09 - mmengine - INFO - Epoch(train) [139][1140/1879] lr: 1.0000e-03 eta: 1 day, 2:29:30 time: 0.4712 data_time: 0.0131 memory: 17087 grad_norm: 6.4397 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9688 loss: 0.9688 2022/08/04 17:09:18 - mmengine - INFO - Epoch(train) [139][1160/1879] lr: 1.0000e-03 eta: 1 day, 2:29:22 time: 0.4284 data_time: 0.0163 memory: 17087 grad_norm: 6.3237 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8095 loss: 0.8095 2022/08/04 17:09:26 - mmengine - INFO - Epoch(train) [139][1180/1879] lr: 1.0000e-03 eta: 1 day, 2:29:13 time: 0.4274 data_time: 0.0155 memory: 17087 grad_norm: 6.7465 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0697 loss: 1.0697 2022/08/04 17:09:36 - mmengine - INFO - Epoch(train) [139][1200/1879] lr: 1.0000e-03 eta: 1 day, 2:29:05 time: 0.4859 data_time: 0.0176 memory: 17087 grad_norm: 6.5492 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9700 loss: 0.9700 2022/08/04 17:09:44 - mmengine - INFO - Epoch(train) [139][1220/1879] lr: 1.0000e-03 eta: 1 day, 2:28:57 time: 0.4287 data_time: 0.0155 memory: 17087 grad_norm: 6.6137 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9973 loss: 0.9973 2022/08/04 17:09:54 - mmengine - INFO - Epoch(train) [139][1240/1879] lr: 1.0000e-03 eta: 1 day, 2:28:49 time: 0.4995 data_time: 0.0182 memory: 17087 grad_norm: 6.6502 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9005 loss: 0.9005 2022/08/04 17:10:03 - mmengine - INFO - Epoch(train) [139][1260/1879] lr: 1.0000e-03 eta: 1 day, 2:28:40 time: 0.4290 data_time: 0.0145 memory: 17087 grad_norm: 6.6668 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9581 loss: 0.9581 2022/08/04 17:10:12 - mmengine - INFO - Epoch(train) [139][1280/1879] lr: 1.0000e-03 eta: 1 day, 2:28:32 time: 0.4546 data_time: 0.0163 memory: 17087 grad_norm: 6.6235 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9543 loss: 0.9543 2022/08/04 17:10:21 - mmengine - INFO - Epoch(train) [139][1300/1879] lr: 1.0000e-03 eta: 1 day, 2:28:23 time: 0.4276 data_time: 0.0163 memory: 17087 grad_norm: 6.3940 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8328 loss: 0.8328 2022/08/04 17:10:30 - mmengine - INFO - Epoch(train) [139][1320/1879] lr: 1.0000e-03 eta: 1 day, 2:28:15 time: 0.4747 data_time: 0.0219 memory: 17087 grad_norm: 6.8198 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9535 loss: 0.9535 2022/08/04 17:10:39 - mmengine - INFO - Epoch(train) [139][1340/1879] lr: 1.0000e-03 eta: 1 day, 2:28:07 time: 0.4284 data_time: 0.0154 memory: 17087 grad_norm: 6.9585 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 1.0308 loss: 1.0308 2022/08/04 17:10:48 - mmengine - INFO - Epoch(train) [139][1360/1879] lr: 1.0000e-03 eta: 1 day, 2:27:58 time: 0.4329 data_time: 0.0198 memory: 17087 grad_norm: 6.4033 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7916 loss: 0.7916 2022/08/04 17:10:57 - mmengine - INFO - Epoch(train) [139][1380/1879] lr: 1.0000e-03 eta: 1 day, 2:27:50 time: 0.4718 data_time: 0.0170 memory: 17087 grad_norm: 6.5929 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9841 loss: 0.9841 2022/08/04 17:11:06 - mmengine - INFO - Epoch(train) [139][1400/1879] lr: 1.0000e-03 eta: 1 day, 2:27:41 time: 0.4296 data_time: 0.0175 memory: 17087 grad_norm: 6.6055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9587 loss: 0.9587 2022/08/04 17:11:14 - mmengine - INFO - Epoch(train) [139][1420/1879] lr: 1.0000e-03 eta: 1 day, 2:27:33 time: 0.4370 data_time: 0.0154 memory: 17087 grad_norm: 6.5959 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.2151 loss: 1.2151 2022/08/04 17:11:23 - mmengine - INFO - Epoch(train) [139][1440/1879] lr: 1.0000e-03 eta: 1 day, 2:27:24 time: 0.4318 data_time: 0.0160 memory: 17087 grad_norm: 6.5157 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9815 loss: 0.9815 2022/08/04 17:11:32 - mmengine - INFO - Epoch(train) [139][1460/1879] lr: 1.0000e-03 eta: 1 day, 2:27:15 time: 0.4320 data_time: 0.0198 memory: 17087 grad_norm: 6.3411 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9948 loss: 0.9948 2022/08/04 17:11:40 - mmengine - INFO - Epoch(train) [139][1480/1879] lr: 1.0000e-03 eta: 1 day, 2:27:07 time: 0.4281 data_time: 0.0156 memory: 17087 grad_norm: 6.5078 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9361 loss: 0.9361 2022/08/04 17:11:49 - mmengine - INFO - Epoch(train) [139][1500/1879] lr: 1.0000e-03 eta: 1 day, 2:26:59 time: 0.4570 data_time: 0.0170 memory: 17087 grad_norm: 6.5882 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0111 loss: 1.0111 2022/08/04 17:11:58 - mmengine - INFO - Epoch(train) [139][1520/1879] lr: 1.0000e-03 eta: 1 day, 2:26:50 time: 0.4277 data_time: 0.0155 memory: 17087 grad_norm: 6.2828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8128 loss: 0.8128 2022/08/04 17:12:07 - mmengine - INFO - Epoch(train) [139][1540/1879] lr: 1.0000e-03 eta: 1 day, 2:26:41 time: 0.4296 data_time: 0.0156 memory: 17087 grad_norm: 6.3883 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9266 loss: 0.9266 2022/08/04 17:12:16 - mmengine - INFO - Epoch(train) [139][1560/1879] lr: 1.0000e-03 eta: 1 day, 2:26:33 time: 0.4728 data_time: 0.0179 memory: 17087 grad_norm: 6.4696 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9173 loss: 0.9173 2022/08/04 17:12:25 - mmengine - INFO - Epoch(train) [139][1580/1879] lr: 1.0000e-03 eta: 1 day, 2:26:24 time: 0.4281 data_time: 0.0156 memory: 17087 grad_norm: 6.6212 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8666 loss: 0.8666 2022/08/04 17:12:34 - mmengine - INFO - Epoch(train) [139][1600/1879] lr: 1.0000e-03 eta: 1 day, 2:26:16 time: 0.4614 data_time: 0.0220 memory: 17087 grad_norm: 6.8135 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9421 loss: 0.9421 2022/08/04 17:12:42 - mmengine - INFO - Epoch(train) [139][1620/1879] lr: 1.0000e-03 eta: 1 day, 2:26:08 time: 0.4264 data_time: 0.0146 memory: 17087 grad_norm: 6.7279 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9677 loss: 0.9677 2022/08/04 17:12:51 - mmengine - INFO - Epoch(train) [139][1640/1879] lr: 1.0000e-03 eta: 1 day, 2:25:59 time: 0.4398 data_time: 0.0195 memory: 17087 grad_norm: 6.4500 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9029 loss: 0.9029 2022/08/04 17:13:00 - mmengine - INFO - Epoch(train) [139][1660/1879] lr: 1.0000e-03 eta: 1 day, 2:25:50 time: 0.4264 data_time: 0.0160 memory: 17087 grad_norm: 6.4255 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9158 loss: 0.9158 2022/08/04 17:13:09 - mmengine - INFO - Epoch(train) [139][1680/1879] lr: 1.0000e-03 eta: 1 day, 2:25:42 time: 0.4519 data_time: 0.0169 memory: 17087 grad_norm: 6.5097 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9941 loss: 0.9941 2022/08/04 17:13:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 17:13:17 - mmengine - INFO - Epoch(train) [139][1700/1879] lr: 1.0000e-03 eta: 1 day, 2:25:33 time: 0.4312 data_time: 0.0141 memory: 17087 grad_norm: 6.3211 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7976 loss: 0.7976 2022/08/04 17:13:26 - mmengine - INFO - Epoch(train) [139][1720/1879] lr: 1.0000e-03 eta: 1 day, 2:25:25 time: 0.4283 data_time: 0.0154 memory: 17087 grad_norm: 6.4468 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9238 loss: 0.9238 2022/08/04 17:13:36 - mmengine - INFO - Epoch(train) [139][1740/1879] lr: 1.0000e-03 eta: 1 day, 2:25:17 time: 0.4779 data_time: 0.0169 memory: 17087 grad_norm: 6.7098 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1198 loss: 1.1198 2022/08/04 17:13:44 - mmengine - INFO - Epoch(train) [139][1760/1879] lr: 1.0000e-03 eta: 1 day, 2:25:08 time: 0.4296 data_time: 0.0170 memory: 17087 grad_norm: 6.7524 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8762 loss: 0.8762 2022/08/04 17:13:54 - mmengine - INFO - Epoch(train) [139][1780/1879] lr: 1.0000e-03 eta: 1 day, 2:25:00 time: 0.4785 data_time: 0.0190 memory: 17087 grad_norm: 6.6393 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9374 loss: 0.9374 2022/08/04 17:14:02 - mmengine - INFO - Epoch(train) [139][1800/1879] lr: 1.0000e-03 eta: 1 day, 2:24:51 time: 0.4297 data_time: 0.0155 memory: 17087 grad_norm: 6.8146 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9828 loss: 0.9828 2022/08/04 17:14:11 - mmengine - INFO - Epoch(train) [139][1820/1879] lr: 1.0000e-03 eta: 1 day, 2:24:43 time: 0.4378 data_time: 0.0164 memory: 17087 grad_norm: 6.7013 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0552 loss: 1.0552 2022/08/04 17:14:20 - mmengine - INFO - Epoch(train) [139][1840/1879] lr: 1.0000e-03 eta: 1 day, 2:24:34 time: 0.4295 data_time: 0.0172 memory: 17087 grad_norm: 6.3831 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7692 loss: 0.7692 2022/08/04 17:14:29 - mmengine - INFO - Epoch(train) [139][1860/1879] lr: 1.0000e-03 eta: 1 day, 2:24:26 time: 0.4376 data_time: 0.0150 memory: 17087 grad_norm: 6.5582 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9587 loss: 0.9587 2022/08/04 17:14:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 17:14:37 - mmengine - INFO - Epoch(train) [139][1879/1879] lr: 1.0000e-03 eta: 1 day, 2:24:26 time: 0.4489 data_time: 0.0150 memory: 17087 grad_norm: 6.5925 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9892 loss: 0.9892 2022/08/04 17:14:48 - mmengine - INFO - Epoch(train) [140][20/1879] lr: 1.0000e-03 eta: 1 day, 2:24:04 time: 0.5531 data_time: 0.1048 memory: 17087 grad_norm: 6.5341 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0364 loss: 1.0364 2022/08/04 17:14:57 - mmengine - INFO - Epoch(train) [140][40/1879] lr: 1.0000e-03 eta: 1 day, 2:23:55 time: 0.4409 data_time: 0.0172 memory: 17087 grad_norm: 6.6388 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9040 loss: 0.9040 2022/08/04 17:15:06 - mmengine - INFO - Epoch(train) [140][60/1879] lr: 1.0000e-03 eta: 1 day, 2:23:47 time: 0.4473 data_time: 0.0140 memory: 17087 grad_norm: 6.6573 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0384 loss: 1.0384 2022/08/04 17:15:15 - mmengine - INFO - Epoch(train) [140][80/1879] lr: 1.0000e-03 eta: 1 day, 2:23:38 time: 0.4315 data_time: 0.0167 memory: 17087 grad_norm: 6.6688 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9440 loss: 0.9440 2022/08/04 17:15:23 - mmengine - INFO - Epoch(train) [140][100/1879] lr: 1.0000e-03 eta: 1 day, 2:23:30 time: 0.4353 data_time: 0.0227 memory: 17087 grad_norm: 6.8793 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8026 loss: 0.8026 2022/08/04 17:15:32 - mmengine - INFO - Epoch(train) [140][120/1879] lr: 1.0000e-03 eta: 1 day, 2:23:21 time: 0.4497 data_time: 0.0155 memory: 17087 grad_norm: 6.6297 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7779 loss: 0.7779 2022/08/04 17:15:41 - mmengine - INFO - Epoch(train) [140][140/1879] lr: 1.0000e-03 eta: 1 day, 2:23:13 time: 0.4325 data_time: 0.0163 memory: 17087 grad_norm: 6.6718 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9597 loss: 0.9597 2022/08/04 17:15:50 - mmengine - INFO - Epoch(train) [140][160/1879] lr: 1.0000e-03 eta: 1 day, 2:23:04 time: 0.4296 data_time: 0.0156 memory: 17087 grad_norm: 6.4671 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 0.7886 loss: 0.7886 2022/08/04 17:15:58 - mmengine - INFO - Epoch(train) [140][180/1879] lr: 1.0000e-03 eta: 1 day, 2:22:55 time: 0.4277 data_time: 0.0150 memory: 17087 grad_norm: 6.6655 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8890 loss: 0.8890 2022/08/04 17:16:07 - mmengine - INFO - Epoch(train) [140][200/1879] lr: 1.0000e-03 eta: 1 day, 2:22:47 time: 0.4617 data_time: 0.0183 memory: 17087 grad_norm: 6.5218 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0049 loss: 1.0049 2022/08/04 17:16:16 - mmengine - INFO - Epoch(train) [140][220/1879] lr: 1.0000e-03 eta: 1 day, 2:22:38 time: 0.4280 data_time: 0.0143 memory: 17087 grad_norm: 6.4681 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7930 loss: 0.7930 2022/08/04 17:16:26 - mmengine - INFO - Epoch(train) [140][240/1879] lr: 1.0000e-03 eta: 1 day, 2:22:31 time: 0.4821 data_time: 0.0192 memory: 17087 grad_norm: 6.5825 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8593 loss: 0.8593 2022/08/04 17:16:34 - mmengine - INFO - Epoch(train) [140][260/1879] lr: 1.0000e-03 eta: 1 day, 2:22:22 time: 0.4324 data_time: 0.0173 memory: 17087 grad_norm: 6.6596 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8220 loss: 0.8220 2022/08/04 17:16:44 - mmengine - INFO - Epoch(train) [140][280/1879] lr: 1.0000e-03 eta: 1 day, 2:22:14 time: 0.4825 data_time: 0.0193 memory: 17087 grad_norm: 6.7345 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9784 loss: 0.9784 2022/08/04 17:16:52 - mmengine - INFO - Epoch(train) [140][300/1879] lr: 1.0000e-03 eta: 1 day, 2:22:05 time: 0.4299 data_time: 0.0159 memory: 17087 grad_norm: 6.5623 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8604 loss: 0.8604 2022/08/04 17:17:02 - mmengine - INFO - Epoch(train) [140][320/1879] lr: 1.0000e-03 eta: 1 day, 2:21:58 time: 0.4772 data_time: 0.0185 memory: 17087 grad_norm: 6.7026 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8789 loss: 0.8789 2022/08/04 17:17:11 - mmengine - INFO - Epoch(train) [140][340/1879] lr: 1.0000e-03 eta: 1 day, 2:21:49 time: 0.4320 data_time: 0.0173 memory: 17087 grad_norm: 6.8207 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9704 loss: 0.9704 2022/08/04 17:17:20 - mmengine - INFO - Epoch(train) [140][360/1879] lr: 1.0000e-03 eta: 1 day, 2:21:40 time: 0.4464 data_time: 0.0179 memory: 17087 grad_norm: 6.5029 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9580 loss: 0.9580 2022/08/04 17:17:28 - mmengine - INFO - Epoch(train) [140][380/1879] lr: 1.0000e-03 eta: 1 day, 2:21:32 time: 0.4261 data_time: 0.0152 memory: 17087 grad_norm: 6.7270 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8701 loss: 0.8701 2022/08/04 17:17:37 - mmengine - INFO - Epoch(train) [140][400/1879] lr: 1.0000e-03 eta: 1 day, 2:21:23 time: 0.4302 data_time: 0.0178 memory: 17087 grad_norm: 6.5810 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9167 loss: 0.9167 2022/08/04 17:17:46 - mmengine - INFO - Epoch(train) [140][420/1879] lr: 1.0000e-03 eta: 1 day, 2:21:15 time: 0.4591 data_time: 0.0138 memory: 17087 grad_norm: 6.6858 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8905 loss: 0.8905 2022/08/04 17:17:55 - mmengine - INFO - Epoch(train) [140][440/1879] lr: 1.0000e-03 eta: 1 day, 2:21:06 time: 0.4353 data_time: 0.0216 memory: 17087 grad_norm: 6.8613 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7921 loss: 0.7921 2022/08/04 17:18:04 - mmengine - INFO - Epoch(train) [140][460/1879] lr: 1.0000e-03 eta: 1 day, 2:20:58 time: 0.4733 data_time: 0.0189 memory: 17087 grad_norm: 6.8289 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8818 loss: 0.8818 2022/08/04 17:18:13 - mmengine - INFO - Epoch(train) [140][480/1879] lr: 1.0000e-03 eta: 1 day, 2:20:50 time: 0.4358 data_time: 0.0205 memory: 17087 grad_norm: 6.6596 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0690 loss: 1.0690 2022/08/04 17:18:22 - mmengine - INFO - Epoch(train) [140][500/1879] lr: 1.0000e-03 eta: 1 day, 2:20:42 time: 0.4667 data_time: 0.0163 memory: 17087 grad_norm: 6.6287 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9515 loss: 0.9515 2022/08/04 17:18:31 - mmengine - INFO - Epoch(train) [140][520/1879] lr: 1.0000e-03 eta: 1 day, 2:20:33 time: 0.4360 data_time: 0.0222 memory: 17087 grad_norm: 6.7180 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7729 loss: 0.7729 2022/08/04 17:18:40 - mmengine - INFO - Epoch(train) [140][540/1879] lr: 1.0000e-03 eta: 1 day, 2:20:25 time: 0.4564 data_time: 0.0152 memory: 17087 grad_norm: 6.6453 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9100 loss: 0.9100 2022/08/04 17:18:49 - mmengine - INFO - Epoch(train) [140][560/1879] lr: 1.0000e-03 eta: 1 day, 2:20:16 time: 0.4299 data_time: 0.0173 memory: 17087 grad_norm: 6.6453 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7633 loss: 0.7633 2022/08/04 17:18:57 - mmengine - INFO - Epoch(train) [140][580/1879] lr: 1.0000e-03 eta: 1 day, 2:20:07 time: 0.4331 data_time: 0.0178 memory: 17087 grad_norm: 6.3789 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7809 loss: 0.7809 2022/08/04 17:19:07 - mmengine - INFO - Epoch(train) [140][600/1879] lr: 1.0000e-03 eta: 1 day, 2:19:59 time: 0.4575 data_time: 0.0185 memory: 17087 grad_norm: 6.7656 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9441 loss: 0.9441 2022/08/04 17:19:16 - mmengine - INFO - Epoch(train) [140][620/1879] lr: 1.0000e-03 eta: 1 day, 2:19:51 time: 0.4431 data_time: 0.0196 memory: 17087 grad_norm: 6.8946 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9347 loss: 0.9347 2022/08/04 17:19:24 - mmengine - INFO - Epoch(train) [140][640/1879] lr: 1.0000e-03 eta: 1 day, 2:19:42 time: 0.4406 data_time: 0.0161 memory: 17087 grad_norm: 6.7338 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0990 loss: 1.0990 2022/08/04 17:19:33 - mmengine - INFO - Epoch(train) [140][660/1879] lr: 1.0000e-03 eta: 1 day, 2:19:34 time: 0.4439 data_time: 0.0159 memory: 17087 grad_norm: 6.5910 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0416 loss: 1.0416 2022/08/04 17:19:43 - mmengine - INFO - Epoch(train) [140][680/1879] lr: 1.0000e-03 eta: 1 day, 2:19:26 time: 0.4639 data_time: 0.0166 memory: 17087 grad_norm: 6.4903 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8071 loss: 0.8071 2022/08/04 17:19:51 - mmengine - INFO - Epoch(train) [140][700/1879] lr: 1.0000e-03 eta: 1 day, 2:19:17 time: 0.4352 data_time: 0.0195 memory: 17087 grad_norm: 6.4076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9659 loss: 0.9659 2022/08/04 17:20:00 - mmengine - INFO - Epoch(train) [140][720/1879] lr: 1.0000e-03 eta: 1 day, 2:19:08 time: 0.4324 data_time: 0.0173 memory: 17087 grad_norm: 6.5108 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7969 loss: 0.7969 2022/08/04 17:20:09 - mmengine - INFO - Epoch(train) [140][740/1879] lr: 1.0000e-03 eta: 1 day, 2:19:00 time: 0.4298 data_time: 0.0149 memory: 17087 grad_norm: 6.3947 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9259 loss: 0.9259 2022/08/04 17:20:17 - mmengine - INFO - Epoch(train) [140][760/1879] lr: 1.0000e-03 eta: 1 day, 2:18:51 time: 0.4304 data_time: 0.0174 memory: 17087 grad_norm: 6.5035 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9807 loss: 0.9807 2022/08/04 17:20:26 - mmengine - INFO - Epoch(train) [140][780/1879] lr: 1.0000e-03 eta: 1 day, 2:18:43 time: 0.4398 data_time: 0.0174 memory: 17087 grad_norm: 6.8338 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8327 loss: 0.8327 2022/08/04 17:20:35 - mmengine - INFO - Epoch(train) [140][800/1879] lr: 1.0000e-03 eta: 1 day, 2:18:34 time: 0.4304 data_time: 0.0165 memory: 17087 grad_norm: 6.5812 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0591 loss: 1.0591 2022/08/04 17:20:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 17:20:45 - mmengine - INFO - Epoch(train) [140][820/1879] lr: 1.0000e-03 eta: 1 day, 2:18:26 time: 0.5039 data_time: 0.0147 memory: 17087 grad_norm: 6.6460 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8691 loss: 0.8691 2022/08/04 17:20:54 - mmengine - INFO - Epoch(train) [140][840/1879] lr: 1.0000e-03 eta: 1 day, 2:18:18 time: 0.4440 data_time: 0.0215 memory: 17087 grad_norm: 6.6426 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9333 loss: 0.9333 2022/08/04 17:21:03 - mmengine - INFO - Epoch(train) [140][860/1879] lr: 1.0000e-03 eta: 1 day, 2:18:10 time: 0.4619 data_time: 0.0143 memory: 17087 grad_norm: 6.6414 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9627 loss: 0.9627 2022/08/04 17:21:12 - mmengine - INFO - Epoch(train) [140][880/1879] lr: 1.0000e-03 eta: 1 day, 2:18:01 time: 0.4359 data_time: 0.0211 memory: 17087 grad_norm: 6.5976 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9239 loss: 0.9239 2022/08/04 17:21:20 - mmengine - INFO - Epoch(train) [140][900/1879] lr: 1.0000e-03 eta: 1 day, 2:17:53 time: 0.4344 data_time: 0.0146 memory: 17087 grad_norm: 6.6414 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8226 loss: 0.8226 2022/08/04 17:21:29 - mmengine - INFO - Epoch(train) [140][920/1879] lr: 1.0000e-03 eta: 1 day, 2:17:44 time: 0.4311 data_time: 0.0165 memory: 17087 grad_norm: 6.7349 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0374 loss: 1.0374 2022/08/04 17:21:38 - mmengine - INFO - Epoch(train) [140][940/1879] lr: 1.0000e-03 eta: 1 day, 2:17:35 time: 0.4303 data_time: 0.0162 memory: 17087 grad_norm: 6.6509 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9606 loss: 0.9606 2022/08/04 17:21:47 - mmengine - INFO - Epoch(train) [140][960/1879] lr: 1.0000e-03 eta: 1 day, 2:17:27 time: 0.4566 data_time: 0.0162 memory: 17087 grad_norm: 6.8172 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9511 loss: 0.9511 2022/08/04 17:21:56 - mmengine - INFO - Epoch(train) [140][980/1879] lr: 1.0000e-03 eta: 1 day, 2:17:19 time: 0.4416 data_time: 0.0195 memory: 17087 grad_norm: 6.6488 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8127 loss: 0.8127 2022/08/04 17:22:04 - mmengine - INFO - Epoch(train) [140][1000/1879] lr: 1.0000e-03 eta: 1 day, 2:17:10 time: 0.4381 data_time: 0.0183 memory: 17087 grad_norm: 6.5386 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0335 loss: 1.0335 2022/08/04 17:22:13 - mmengine - INFO - Epoch(train) [140][1020/1879] lr: 1.0000e-03 eta: 1 day, 2:17:01 time: 0.4293 data_time: 0.0137 memory: 17087 grad_norm: 6.6658 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9143 loss: 0.9143 2022/08/04 17:22:22 - mmengine - INFO - Epoch(train) [140][1040/1879] lr: 1.0000e-03 eta: 1 day, 2:16:53 time: 0.4463 data_time: 0.0186 memory: 17087 grad_norm: 6.9114 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9295 loss: 0.9295 2022/08/04 17:22:30 - mmengine - INFO - Epoch(train) [140][1060/1879] lr: 1.0000e-03 eta: 1 day, 2:16:44 time: 0.4290 data_time: 0.0149 memory: 17087 grad_norm: 6.5178 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0982 loss: 1.0982 2022/08/04 17:22:39 - mmengine - INFO - Epoch(train) [140][1080/1879] lr: 1.0000e-03 eta: 1 day, 2:16:36 time: 0.4368 data_time: 0.0188 memory: 17087 grad_norm: 6.4647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8961 loss: 0.8961 2022/08/04 17:22:48 - mmengine - INFO - Epoch(train) [140][1100/1879] lr: 1.0000e-03 eta: 1 day, 2:16:27 time: 0.4310 data_time: 0.0139 memory: 17087 grad_norm: 6.4213 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9618 loss: 0.9618 2022/08/04 17:22:57 - mmengine - INFO - Epoch(train) [140][1120/1879] lr: 1.0000e-03 eta: 1 day, 2:16:18 time: 0.4412 data_time: 0.0178 memory: 17087 grad_norm: 6.4690 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8095 loss: 0.8095 2022/08/04 17:23:05 - mmengine - INFO - Epoch(train) [140][1140/1879] lr: 1.0000e-03 eta: 1 day, 2:16:10 time: 0.4301 data_time: 0.0155 memory: 17087 grad_norm: 6.5529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7720 loss: 0.7720 2022/08/04 17:23:14 - mmengine - INFO - Epoch(train) [140][1160/1879] lr: 1.0000e-03 eta: 1 day, 2:16:01 time: 0.4591 data_time: 0.0181 memory: 17087 grad_norm: 6.7847 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8901 loss: 0.8901 2022/08/04 17:23:23 - mmengine - INFO - Epoch(train) [140][1180/1879] lr: 1.0000e-03 eta: 1 day, 2:15:53 time: 0.4282 data_time: 0.0150 memory: 17087 grad_norm: 6.5598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0998 loss: 1.0998 2022/08/04 17:23:32 - mmengine - INFO - Epoch(train) [140][1200/1879] lr: 1.0000e-03 eta: 1 day, 2:15:45 time: 0.4594 data_time: 0.0180 memory: 17087 grad_norm: 6.5192 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8847 loss: 0.8847 2022/08/04 17:23:41 - mmengine - INFO - Epoch(train) [140][1220/1879] lr: 1.0000e-03 eta: 1 day, 2:15:36 time: 0.4334 data_time: 0.0138 memory: 17087 grad_norm: 6.6273 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8886 loss: 0.8886 2022/08/04 17:23:50 - mmengine - INFO - Epoch(train) [140][1240/1879] lr: 1.0000e-03 eta: 1 day, 2:15:28 time: 0.4483 data_time: 0.0182 memory: 17087 grad_norm: 6.4865 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8087 loss: 0.8087 2022/08/04 17:23:59 - mmengine - INFO - Epoch(train) [140][1260/1879] lr: 1.0000e-03 eta: 1 day, 2:15:19 time: 0.4291 data_time: 0.0147 memory: 17087 grad_norm: 6.5420 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9549 loss: 0.9549 2022/08/04 17:24:07 - mmengine - INFO - Epoch(train) [140][1280/1879] lr: 1.0000e-03 eta: 1 day, 2:15:10 time: 0.4352 data_time: 0.0174 memory: 17087 grad_norm: 6.6006 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9994 loss: 0.9994 2022/08/04 17:24:16 - mmengine - INFO - Epoch(train) [140][1300/1879] lr: 1.0000e-03 eta: 1 day, 2:15:02 time: 0.4313 data_time: 0.0168 memory: 17087 grad_norm: 6.7005 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8741 loss: 0.8741 2022/08/04 17:24:25 - mmengine - INFO - Epoch(train) [140][1320/1879] lr: 1.0000e-03 eta: 1 day, 2:14:53 time: 0.4487 data_time: 0.0164 memory: 17087 grad_norm: 6.4890 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7422 loss: 0.7422 2022/08/04 17:24:34 - mmengine - INFO - Epoch(train) [140][1340/1879] lr: 1.0000e-03 eta: 1 day, 2:14:45 time: 0.4414 data_time: 0.0166 memory: 17087 grad_norm: 6.6498 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9758 loss: 0.9758 2022/08/04 17:24:43 - mmengine - INFO - Epoch(train) [140][1360/1879] lr: 1.0000e-03 eta: 1 day, 2:14:36 time: 0.4390 data_time: 0.0178 memory: 17087 grad_norm: 6.6155 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9697 loss: 0.9697 2022/08/04 17:24:52 - mmengine - INFO - Epoch(train) [140][1380/1879] lr: 1.0000e-03 eta: 1 day, 2:14:28 time: 0.4598 data_time: 0.0152 memory: 17087 grad_norm: 6.6428 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9164 loss: 0.9164 2022/08/04 17:25:00 - mmengine - INFO - Epoch(train) [140][1400/1879] lr: 1.0000e-03 eta: 1 day, 2:14:19 time: 0.4338 data_time: 0.0207 memory: 17087 grad_norm: 6.5269 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9347 loss: 0.9347 2022/08/04 17:25:09 - mmengine - INFO - Epoch(train) [140][1420/1879] lr: 1.0000e-03 eta: 1 day, 2:14:11 time: 0.4274 data_time: 0.0151 memory: 17087 grad_norm: 6.7093 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1534 loss: 1.1534 2022/08/04 17:25:18 - mmengine - INFO - Epoch(train) [140][1440/1879] lr: 1.0000e-03 eta: 1 day, 2:14:02 time: 0.4451 data_time: 0.0169 memory: 17087 grad_norm: 6.7929 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8180 loss: 0.8180 2022/08/04 17:25:27 - mmengine - INFO - Epoch(train) [140][1460/1879] lr: 1.0000e-03 eta: 1 day, 2:13:53 time: 0.4298 data_time: 0.0162 memory: 17087 grad_norm: 6.4125 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0695 loss: 1.0695 2022/08/04 17:25:35 - mmengine - INFO - Epoch(train) [140][1480/1879] lr: 1.0000e-03 eta: 1 day, 2:13:45 time: 0.4457 data_time: 0.0164 memory: 17087 grad_norm: 6.7947 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0196 loss: 1.0196 2022/08/04 17:25:44 - mmengine - INFO - Epoch(train) [140][1500/1879] lr: 1.0000e-03 eta: 1 day, 2:13:36 time: 0.4336 data_time: 0.0157 memory: 17087 grad_norm: 6.6193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8796 loss: 0.8796 2022/08/04 17:25:53 - mmengine - INFO - Epoch(train) [140][1520/1879] lr: 1.0000e-03 eta: 1 day, 2:13:28 time: 0.4444 data_time: 0.0184 memory: 17087 grad_norm: 6.8417 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0218 loss: 1.0218 2022/08/04 17:26:02 - mmengine - INFO - Epoch(train) [140][1540/1879] lr: 1.0000e-03 eta: 1 day, 2:13:19 time: 0.4322 data_time: 0.0191 memory: 17087 grad_norm: 6.4310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8891 loss: 0.8891 2022/08/04 17:26:11 - mmengine - INFO - Epoch(train) [140][1560/1879] lr: 1.0000e-03 eta: 1 day, 2:13:11 time: 0.4653 data_time: 0.0178 memory: 17087 grad_norm: 6.6832 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7661 loss: 0.7661 2022/08/04 17:26:20 - mmengine - INFO - Epoch(train) [140][1580/1879] lr: 1.0000e-03 eta: 1 day, 2:13:02 time: 0.4268 data_time: 0.0145 memory: 17087 grad_norm: 6.5994 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9144 loss: 0.9144 2022/08/04 17:26:28 - mmengine - INFO - Epoch(train) [140][1600/1879] lr: 1.0000e-03 eta: 1 day, 2:12:54 time: 0.4314 data_time: 0.0170 memory: 17087 grad_norm: 6.7548 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0222 loss: 1.0222 2022/08/04 17:26:37 - mmengine - INFO - Epoch(train) [140][1620/1879] lr: 1.0000e-03 eta: 1 day, 2:12:46 time: 0.4582 data_time: 0.0152 memory: 17087 grad_norm: 6.4792 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7711 loss: 0.7711 2022/08/04 17:26:46 - mmengine - INFO - Epoch(train) [140][1640/1879] lr: 1.0000e-03 eta: 1 day, 2:12:37 time: 0.4337 data_time: 0.0212 memory: 17087 grad_norm: 6.7826 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8580 loss: 0.8580 2022/08/04 17:26:55 - mmengine - INFO - Epoch(train) [140][1660/1879] lr: 1.0000e-03 eta: 1 day, 2:12:29 time: 0.4525 data_time: 0.0152 memory: 17087 grad_norm: 6.4545 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8203 loss: 0.8203 2022/08/04 17:27:04 - mmengine - INFO - Epoch(train) [140][1680/1879] lr: 1.0000e-03 eta: 1 day, 2:12:20 time: 0.4311 data_time: 0.0180 memory: 17087 grad_norm: 6.6448 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0375 loss: 1.0375 2022/08/04 17:27:13 - mmengine - INFO - Epoch(train) [140][1700/1879] lr: 1.0000e-03 eta: 1 day, 2:12:12 time: 0.4712 data_time: 0.0150 memory: 17087 grad_norm: 6.6229 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9918 loss: 0.9918 2022/08/04 17:27:22 - mmengine - INFO - Epoch(train) [140][1720/1879] lr: 1.0000e-03 eta: 1 day, 2:12:03 time: 0.4292 data_time: 0.0166 memory: 17087 grad_norm: 6.8903 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8681 loss: 0.8681 2022/08/04 17:27:31 - mmengine - INFO - Epoch(train) [140][1740/1879] lr: 1.0000e-03 eta: 1 day, 2:11:55 time: 0.4554 data_time: 0.0159 memory: 17087 grad_norm: 6.8407 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8811 loss: 0.8811 2022/08/04 17:27:40 - mmengine - INFO - Epoch(train) [140][1760/1879] lr: 1.0000e-03 eta: 1 day, 2:11:46 time: 0.4306 data_time: 0.0153 memory: 17087 grad_norm: 6.7310 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8818 loss: 0.8818 2022/08/04 17:27:48 - mmengine - INFO - Epoch(train) [140][1780/1879] lr: 1.0000e-03 eta: 1 day, 2:11:38 time: 0.4290 data_time: 0.0144 memory: 17087 grad_norm: 6.7274 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8531 loss: 0.8531 2022/08/04 17:27:57 - mmengine - INFO - Epoch(train) [140][1800/1879] lr: 1.0000e-03 eta: 1 day, 2:11:29 time: 0.4397 data_time: 0.0171 memory: 17087 grad_norm: 6.4365 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0029 loss: 1.0029 2022/08/04 17:28:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 17:28:06 - mmengine - INFO - Epoch(train) [140][1820/1879] lr: 1.0000e-03 eta: 1 day, 2:11:21 time: 0.4529 data_time: 0.0174 memory: 17087 grad_norm: 6.4383 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9115 loss: 0.9115 2022/08/04 17:28:15 - mmengine - INFO - Epoch(train) [140][1840/1879] lr: 1.0000e-03 eta: 1 day, 2:11:12 time: 0.4290 data_time: 0.0148 memory: 17087 grad_norm: 6.6013 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9058 loss: 0.9058 2022/08/04 17:28:23 - mmengine - INFO - Epoch(train) [140][1860/1879] lr: 1.0000e-03 eta: 1 day, 2:11:04 time: 0.4385 data_time: 0.0171 memory: 17087 grad_norm: 6.7967 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.1103 loss: 1.1103 2022/08/04 17:28:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 17:28:31 - mmengine - INFO - Epoch(train) [140][1879/1879] lr: 1.0000e-03 eta: 1 day, 2:11:04 time: 0.4095 data_time: 0.0154 memory: 17087 grad_norm: 6.9148 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8198 loss: 0.8198 2022/08/04 17:28:31 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/04 17:28:43 - mmengine - INFO - Epoch(val) [140][20/155] eta: 0:00:50 time: 0.3772 data_time: 0.2105 memory: 2821 2022/08/04 17:28:47 - mmengine - INFO - Epoch(val) [140][40/155] eta: 0:00:27 time: 0.2422 data_time: 0.0751 memory: 2821 2022/08/04 17:28:54 - mmengine - INFO - Epoch(val) [140][60/155] eta: 0:00:30 time: 0.3178 data_time: 0.1406 memory: 2821 2022/08/04 17:28:59 - mmengine - INFO - Epoch(val) [140][80/155] eta: 0:00:20 time: 0.2739 data_time: 0.1082 memory: 2821 2022/08/04 17:29:05 - mmengine - INFO - Epoch(val) [140][100/155] eta: 0:00:16 time: 0.3087 data_time: 0.1429 memory: 2821 2022/08/04 17:29:11 - mmengine - INFO - Epoch(val) [140][120/155] eta: 0:00:10 time: 0.2878 data_time: 0.1079 memory: 2821 2022/08/04 17:29:17 - mmengine - INFO - Epoch(val) [140][140/155] eta: 0:00:04 time: 0.2823 data_time: 0.1205 memory: 2821 2022/08/04 17:29:22 - mmengine - INFO - Epoch(val) [140][155/155] acc/top1: 0.6950 acc/top5: 0.8806 acc/mean1: 0.6949 2022/08/04 17:29:33 - mmengine - INFO - Epoch(train) [141][20/1879] lr: 1.0000e-04 eta: 1 day, 2:10:42 time: 0.5708 data_time: 0.1218 memory: 17087 grad_norm: 6.5579 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7552 loss: 0.7552 2022/08/04 17:29:42 - mmengine - INFO - Epoch(train) [141][40/1879] lr: 1.0000e-04 eta: 1 day, 2:10:34 time: 0.4608 data_time: 0.0243 memory: 17087 grad_norm: 6.5109 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7887 loss: 0.7887 2022/08/04 17:29:51 - mmengine - INFO - Epoch(train) [141][60/1879] lr: 1.0000e-04 eta: 1 day, 2:10:25 time: 0.4262 data_time: 0.0124 memory: 17087 grad_norm: 6.5280 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8576 loss: 0.8576 2022/08/04 17:30:00 - mmengine - INFO - Epoch(train) [141][80/1879] lr: 1.0000e-04 eta: 1 day, 2:10:17 time: 0.4334 data_time: 0.0204 memory: 17087 grad_norm: 6.6547 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7292 loss: 0.7292 2022/08/04 17:30:09 - mmengine - INFO - Epoch(train) [141][100/1879] lr: 1.0000e-04 eta: 1 day, 2:10:09 time: 0.4692 data_time: 0.0181 memory: 17087 grad_norm: 6.5503 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9929 loss: 0.9929 2022/08/04 17:30:18 - mmengine - INFO - Epoch(train) [141][120/1879] lr: 1.0000e-04 eta: 1 day, 2:10:00 time: 0.4490 data_time: 0.0174 memory: 17087 grad_norm: 6.5670 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9360 loss: 0.9360 2022/08/04 17:30:27 - mmengine - INFO - Epoch(train) [141][140/1879] lr: 1.0000e-04 eta: 1 day, 2:09:51 time: 0.4262 data_time: 0.0124 memory: 17087 grad_norm: 6.5041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0122 loss: 1.0122 2022/08/04 17:30:36 - mmengine - INFO - Epoch(train) [141][160/1879] lr: 1.0000e-04 eta: 1 day, 2:09:43 time: 0.4601 data_time: 0.0197 memory: 17087 grad_norm: 6.6398 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8984 loss: 0.8984 2022/08/04 17:30:45 - mmengine - INFO - Epoch(train) [141][180/1879] lr: 1.0000e-04 eta: 1 day, 2:09:35 time: 0.4378 data_time: 0.0174 memory: 17087 grad_norm: 6.6667 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1528 loss: 1.1528 2022/08/04 17:30:54 - mmengine - INFO - Epoch(train) [141][200/1879] lr: 1.0000e-04 eta: 1 day, 2:09:26 time: 0.4501 data_time: 0.0163 memory: 17087 grad_norm: 6.3655 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8777 loss: 0.8777 2022/08/04 17:31:02 - mmengine - INFO - Epoch(train) [141][220/1879] lr: 1.0000e-04 eta: 1 day, 2:09:18 time: 0.4342 data_time: 0.0154 memory: 17087 grad_norm: 6.5805 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9996 loss: 0.9996 2022/08/04 17:31:11 - mmengine - INFO - Epoch(train) [141][240/1879] lr: 1.0000e-04 eta: 1 day, 2:09:09 time: 0.4281 data_time: 0.0160 memory: 17087 grad_norm: 6.5480 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0421 loss: 1.0421 2022/08/04 17:31:19 - mmengine - INFO - Epoch(train) [141][260/1879] lr: 1.0000e-04 eta: 1 day, 2:09:00 time: 0.4273 data_time: 0.0161 memory: 17087 grad_norm: 6.6640 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9494 loss: 0.9494 2022/08/04 17:31:29 - mmengine - INFO - Epoch(train) [141][280/1879] lr: 1.0000e-04 eta: 1 day, 2:08:52 time: 0.4710 data_time: 0.0202 memory: 17087 grad_norm: 6.5622 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8655 loss: 0.8655 2022/08/04 17:31:37 - mmengine - INFO - Epoch(train) [141][300/1879] lr: 1.0000e-04 eta: 1 day, 2:08:43 time: 0.4261 data_time: 0.0139 memory: 17087 grad_norm: 6.4491 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7941 loss: 0.7941 2022/08/04 17:31:46 - mmengine - INFO - Epoch(train) [141][320/1879] lr: 1.0000e-04 eta: 1 day, 2:08:35 time: 0.4508 data_time: 0.0219 memory: 17087 grad_norm: 6.5078 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7697 loss: 0.7697 2022/08/04 17:31:55 - mmengine - INFO - Epoch(train) [141][340/1879] lr: 1.0000e-04 eta: 1 day, 2:08:26 time: 0.4274 data_time: 0.0161 memory: 17087 grad_norm: 6.7430 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8355 loss: 0.8355 2022/08/04 17:32:05 - mmengine - INFO - Epoch(train) [141][360/1879] lr: 1.0000e-04 eta: 1 day, 2:08:19 time: 0.4812 data_time: 0.0232 memory: 17087 grad_norm: 6.6302 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9516 loss: 0.9516 2022/08/04 17:32:13 - mmengine - INFO - Epoch(train) [141][380/1879] lr: 1.0000e-04 eta: 1 day, 2:08:10 time: 0.4291 data_time: 0.0144 memory: 17087 grad_norm: 6.5431 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9202 loss: 0.9202 2022/08/04 17:32:22 - mmengine - INFO - Epoch(train) [141][400/1879] lr: 1.0000e-04 eta: 1 day, 2:08:01 time: 0.4333 data_time: 0.0229 memory: 17087 grad_norm: 6.4257 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9033 loss: 0.9033 2022/08/04 17:32:31 - mmengine - INFO - Epoch(train) [141][420/1879] lr: 1.0000e-04 eta: 1 day, 2:07:53 time: 0.4488 data_time: 0.0132 memory: 17087 grad_norm: 6.6119 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9316 loss: 0.9316 2022/08/04 17:32:40 - mmengine - INFO - Epoch(train) [141][440/1879] lr: 1.0000e-04 eta: 1 day, 2:07:44 time: 0.4305 data_time: 0.0169 memory: 17087 grad_norm: 6.7484 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9870 loss: 0.9870 2022/08/04 17:32:49 - mmengine - INFO - Epoch(train) [141][460/1879] lr: 1.0000e-04 eta: 1 day, 2:07:36 time: 0.4568 data_time: 0.0218 memory: 17087 grad_norm: 6.2490 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8719 loss: 0.8719 2022/08/04 17:32:58 - mmengine - INFO - Epoch(train) [141][480/1879] lr: 1.0000e-04 eta: 1 day, 2:07:27 time: 0.4379 data_time: 0.0215 memory: 17087 grad_norm: 6.6488 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9513 loss: 0.9513 2022/08/04 17:33:07 - mmengine - INFO - Epoch(train) [141][500/1879] lr: 1.0000e-04 eta: 1 day, 2:07:19 time: 0.4632 data_time: 0.0218 memory: 17087 grad_norm: 6.7535 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0577 loss: 1.0577 2022/08/04 17:33:15 - mmengine - INFO - Epoch(train) [141][520/1879] lr: 1.0000e-04 eta: 1 day, 2:07:11 time: 0.4340 data_time: 0.0162 memory: 17087 grad_norm: 6.4524 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9393 loss: 0.9393 2022/08/04 17:33:24 - mmengine - INFO - Epoch(train) [141][540/1879] lr: 1.0000e-04 eta: 1 day, 2:07:02 time: 0.4516 data_time: 0.0171 memory: 17087 grad_norm: 6.4806 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8975 loss: 0.8975 2022/08/04 17:33:33 - mmengine - INFO - Epoch(train) [141][560/1879] lr: 1.0000e-04 eta: 1 day, 2:06:54 time: 0.4376 data_time: 0.0169 memory: 17087 grad_norm: 6.5998 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8374 loss: 0.8374 2022/08/04 17:33:43 - mmengine - INFO - Epoch(train) [141][580/1879] lr: 1.0000e-04 eta: 1 day, 2:06:46 time: 0.4616 data_time: 0.0196 memory: 17087 grad_norm: 6.5784 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8081 loss: 0.8081 2022/08/04 17:33:51 - mmengine - INFO - Epoch(train) [141][600/1879] lr: 1.0000e-04 eta: 1 day, 2:06:37 time: 0.4330 data_time: 0.0175 memory: 17087 grad_norm: 6.4737 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8374 loss: 0.8374 2022/08/04 17:34:00 - mmengine - INFO - Epoch(train) [141][620/1879] lr: 1.0000e-04 eta: 1 day, 2:06:28 time: 0.4280 data_time: 0.0146 memory: 17087 grad_norm: 6.5744 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8910 loss: 0.8910 2022/08/04 17:34:09 - mmengine - INFO - Epoch(train) [141][640/1879] lr: 1.0000e-04 eta: 1 day, 2:06:20 time: 0.4580 data_time: 0.0167 memory: 17087 grad_norm: 6.6575 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9140 loss: 0.9140 2022/08/04 17:34:18 - mmengine - INFO - Epoch(train) [141][660/1879] lr: 1.0000e-04 eta: 1 day, 2:06:11 time: 0.4412 data_time: 0.0159 memory: 17087 grad_norm: 6.4000 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8740 loss: 0.8740 2022/08/04 17:34:27 - mmengine - INFO - Epoch(train) [141][680/1879] lr: 1.0000e-04 eta: 1 day, 2:06:03 time: 0.4370 data_time: 0.0173 memory: 17087 grad_norm: 6.5879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0541 loss: 1.0541 2022/08/04 17:34:35 - mmengine - INFO - Epoch(train) [141][700/1879] lr: 1.0000e-04 eta: 1 day, 2:05:54 time: 0.4316 data_time: 0.0155 memory: 17087 grad_norm: 6.5942 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8388 loss: 0.8388 2022/08/04 17:34:44 - mmengine - INFO - Epoch(train) [141][720/1879] lr: 1.0000e-04 eta: 1 day, 2:05:46 time: 0.4304 data_time: 0.0180 memory: 17087 grad_norm: 6.3875 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8750 loss: 0.8750 2022/08/04 17:34:53 - mmengine - INFO - Epoch(train) [141][740/1879] lr: 1.0000e-04 eta: 1 day, 2:05:37 time: 0.4504 data_time: 0.0163 memory: 17087 grad_norm: 6.4722 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9568 loss: 0.9568 2022/08/04 17:35:01 - mmengine - INFO - Epoch(train) [141][760/1879] lr: 1.0000e-04 eta: 1 day, 2:05:28 time: 0.4299 data_time: 0.0169 memory: 17087 grad_norm: 6.4409 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7930 loss: 0.7930 2022/08/04 17:35:10 - mmengine - INFO - Epoch(train) [141][780/1879] lr: 1.0000e-04 eta: 1 day, 2:05:20 time: 0.4259 data_time: 0.0132 memory: 17087 grad_norm: 6.4542 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8666 loss: 0.8666 2022/08/04 17:35:19 - mmengine - INFO - Epoch(train) [141][800/1879] lr: 1.0000e-04 eta: 1 day, 2:05:11 time: 0.4400 data_time: 0.0176 memory: 17087 grad_norm: 6.3661 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8182 loss: 0.8182 2022/08/04 17:35:27 - mmengine - INFO - Epoch(train) [141][820/1879] lr: 1.0000e-04 eta: 1 day, 2:05:02 time: 0.4271 data_time: 0.0153 memory: 17087 grad_norm: 6.5345 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9614 loss: 0.9614 2022/08/04 17:35:37 - mmengine - INFO - Epoch(train) [141][840/1879] lr: 1.0000e-04 eta: 1 day, 2:04:55 time: 0.4751 data_time: 0.0178 memory: 17087 grad_norm: 6.4231 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9762 loss: 0.9762 2022/08/04 17:35:45 - mmengine - INFO - Epoch(train) [141][860/1879] lr: 1.0000e-04 eta: 1 day, 2:04:46 time: 0.4282 data_time: 0.0145 memory: 17087 grad_norm: 6.3545 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7472 loss: 0.7472 2022/08/04 17:35:55 - mmengine - INFO - Epoch(train) [141][880/1879] lr: 1.0000e-04 eta: 1 day, 2:04:38 time: 0.4755 data_time: 0.0167 memory: 17087 grad_norm: 6.8186 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0311 loss: 1.0311 2022/08/04 17:36:04 - mmengine - INFO - Epoch(train) [141][900/1879] lr: 1.0000e-04 eta: 1 day, 2:04:29 time: 0.4300 data_time: 0.0153 memory: 17087 grad_norm: 6.3061 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9445 loss: 0.9445 2022/08/04 17:36:13 - mmengine - INFO - Epoch(train) [141][920/1879] lr: 1.0000e-04 eta: 1 day, 2:04:21 time: 0.4621 data_time: 0.0181 memory: 17087 grad_norm: 6.6296 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8622 loss: 0.8622 2022/08/04 17:36:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 17:36:21 - mmengine - INFO - Epoch(train) [141][940/1879] lr: 1.0000e-04 eta: 1 day, 2:04:12 time: 0.4272 data_time: 0.0145 memory: 17087 grad_norm: 6.4918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9061 loss: 0.9061 2022/08/04 17:36:30 - mmengine - INFO - Epoch(train) [141][960/1879] lr: 1.0000e-04 eta: 1 day, 2:04:04 time: 0.4274 data_time: 0.0156 memory: 17087 grad_norm: 6.6741 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8706 loss: 0.8706 2022/08/04 17:36:39 - mmengine - INFO - Epoch(train) [141][980/1879] lr: 1.0000e-04 eta: 1 day, 2:03:55 time: 0.4549 data_time: 0.0160 memory: 17087 grad_norm: 6.5153 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8608 loss: 0.8608 2022/08/04 17:36:48 - mmengine - INFO - Epoch(train) [141][1000/1879] lr: 1.0000e-04 eta: 1 day, 2:03:47 time: 0.4307 data_time: 0.0173 memory: 17087 grad_norm: 6.7098 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9355 loss: 0.9355 2022/08/04 17:36:57 - mmengine - INFO - Epoch(train) [141][1020/1879] lr: 1.0000e-04 eta: 1 day, 2:03:39 time: 0.4859 data_time: 0.0185 memory: 17087 grad_norm: 6.3945 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9646 loss: 0.9646 2022/08/04 17:37:06 - mmengine - INFO - Epoch(train) [141][1040/1879] lr: 1.0000e-04 eta: 1 day, 2:03:30 time: 0.4299 data_time: 0.0171 memory: 17087 grad_norm: 6.4641 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9256 loss: 0.9256 2022/08/04 17:37:15 - mmengine - INFO - Epoch(train) [141][1060/1879] lr: 1.0000e-04 eta: 1 day, 2:03:22 time: 0.4697 data_time: 0.0158 memory: 17087 grad_norm: 6.5789 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6733 loss: 0.6733 2022/08/04 17:37:24 - mmengine - INFO - Epoch(train) [141][1080/1879] lr: 1.0000e-04 eta: 1 day, 2:03:13 time: 0.4286 data_time: 0.0166 memory: 17087 grad_norm: 6.5393 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7113 loss: 0.7113 2022/08/04 17:37:33 - mmengine - INFO - Epoch(train) [141][1100/1879] lr: 1.0000e-04 eta: 1 day, 2:03:05 time: 0.4432 data_time: 0.0176 memory: 17087 grad_norm: 6.6801 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9206 loss: 0.9206 2022/08/04 17:37:42 - mmengine - INFO - Epoch(train) [141][1120/1879] lr: 1.0000e-04 eta: 1 day, 2:02:56 time: 0.4294 data_time: 0.0168 memory: 17087 grad_norm: 6.7793 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9266 loss: 0.9266 2022/08/04 17:37:50 - mmengine - INFO - Epoch(train) [141][1140/1879] lr: 1.0000e-04 eta: 1 day, 2:02:48 time: 0.4301 data_time: 0.0157 memory: 17087 grad_norm: 6.6138 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9203 loss: 0.9203 2022/08/04 17:37:59 - mmengine - INFO - Epoch(train) [141][1160/1879] lr: 1.0000e-04 eta: 1 day, 2:02:39 time: 0.4626 data_time: 0.0175 memory: 17087 grad_norm: 6.4925 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8592 loss: 0.8592 2022/08/04 17:38:08 - mmengine - INFO - Epoch(train) [141][1180/1879] lr: 1.0000e-04 eta: 1 day, 2:02:31 time: 0.4287 data_time: 0.0143 memory: 17087 grad_norm: 6.3732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8787 loss: 0.8787 2022/08/04 17:38:17 - mmengine - INFO - Epoch(train) [141][1200/1879] lr: 1.0000e-04 eta: 1 day, 2:02:22 time: 0.4568 data_time: 0.0227 memory: 17087 grad_norm: 6.4955 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9857 loss: 0.9857 2022/08/04 17:38:26 - mmengine - INFO - Epoch(train) [141][1220/1879] lr: 1.0000e-04 eta: 1 day, 2:02:14 time: 0.4541 data_time: 0.0190 memory: 17087 grad_norm: 6.5160 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7583 loss: 0.7583 2022/08/04 17:38:35 - mmengine - INFO - Epoch(train) [141][1240/1879] lr: 1.0000e-04 eta: 1 day, 2:02:05 time: 0.4304 data_time: 0.0168 memory: 17087 grad_norm: 6.5452 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8668 loss: 0.8668 2022/08/04 17:38:44 - mmengine - INFO - Epoch(train) [141][1260/1879] lr: 1.0000e-04 eta: 1 day, 2:01:57 time: 0.4487 data_time: 0.0169 memory: 17087 grad_norm: 6.5694 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7867 loss: 0.7867 2022/08/04 17:38:53 - mmengine - INFO - Epoch(train) [141][1280/1879] lr: 1.0000e-04 eta: 1 day, 2:01:48 time: 0.4310 data_time: 0.0166 memory: 17087 grad_norm: 6.4786 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0127 loss: 1.0127 2022/08/04 17:39:02 - mmengine - INFO - Epoch(train) [141][1300/1879] lr: 1.0000e-04 eta: 1 day, 2:01:40 time: 0.4692 data_time: 0.0165 memory: 17087 grad_norm: 6.6422 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8606 loss: 0.8606 2022/08/04 17:39:11 - mmengine - INFO - Epoch(train) [141][1320/1879] lr: 1.0000e-04 eta: 1 day, 2:01:32 time: 0.4290 data_time: 0.0164 memory: 17087 grad_norm: 6.7638 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9232 loss: 0.9232 2022/08/04 17:39:19 - mmengine - INFO - Epoch(train) [141][1340/1879] lr: 1.0000e-04 eta: 1 day, 2:01:23 time: 0.4278 data_time: 0.0146 memory: 17087 grad_norm: 6.4014 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9349 loss: 0.9349 2022/08/04 17:39:28 - mmengine - INFO - Epoch(train) [141][1360/1879] lr: 1.0000e-04 eta: 1 day, 2:01:15 time: 0.4602 data_time: 0.0166 memory: 17087 grad_norm: 6.5318 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9759 loss: 0.9759 2022/08/04 17:39:37 - mmengine - INFO - Epoch(train) [141][1380/1879] lr: 1.0000e-04 eta: 1 day, 2:01:06 time: 0.4325 data_time: 0.0195 memory: 17087 grad_norm: 6.6683 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0090 loss: 1.0090 2022/08/04 17:39:46 - mmengine - INFO - Epoch(train) [141][1400/1879] lr: 1.0000e-04 eta: 1 day, 2:00:58 time: 0.4460 data_time: 0.0172 memory: 17087 grad_norm: 6.4954 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9172 loss: 0.9172 2022/08/04 17:39:54 - mmengine - INFO - Epoch(train) [141][1420/1879] lr: 1.0000e-04 eta: 1 day, 2:00:49 time: 0.4278 data_time: 0.0147 memory: 17087 grad_norm: 6.4483 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0364 loss: 1.0364 2022/08/04 17:40:03 - mmengine - INFO - Epoch(train) [141][1440/1879] lr: 1.0000e-04 eta: 1 day, 2:00:40 time: 0.4445 data_time: 0.0165 memory: 17087 grad_norm: 6.8413 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9276 loss: 0.9276 2022/08/04 17:40:12 - mmengine - INFO - Epoch(train) [141][1460/1879] lr: 1.0000e-04 eta: 1 day, 2:00:32 time: 0.4292 data_time: 0.0143 memory: 17087 grad_norm: 6.5991 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.2093 loss: 1.2093 2022/08/04 17:40:21 - mmengine - INFO - Epoch(train) [141][1480/1879] lr: 1.0000e-04 eta: 1 day, 2:00:23 time: 0.4298 data_time: 0.0160 memory: 17087 grad_norm: 6.6546 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8534 loss: 0.8534 2022/08/04 17:40:30 - mmengine - INFO - Epoch(train) [141][1500/1879] lr: 1.0000e-04 eta: 1 day, 2:00:15 time: 0.4569 data_time: 0.0160 memory: 17087 grad_norm: 6.5852 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7030 loss: 0.7030 2022/08/04 17:40:38 - mmengine - INFO - Epoch(train) [141][1520/1879] lr: 1.0000e-04 eta: 1 day, 2:00:06 time: 0.4341 data_time: 0.0172 memory: 17087 grad_norm: 6.7129 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9305 loss: 0.9305 2022/08/04 17:40:47 - mmengine - INFO - Epoch(train) [141][1540/1879] lr: 1.0000e-04 eta: 1 day, 1:59:58 time: 0.4515 data_time: 0.0164 memory: 17087 grad_norm: 6.3391 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0237 loss: 1.0237 2022/08/04 17:40:56 - mmengine - INFO - Epoch(train) [141][1560/1879] lr: 1.0000e-04 eta: 1 day, 1:59:49 time: 0.4371 data_time: 0.0194 memory: 17087 grad_norm: 6.7758 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9295 loss: 0.9295 2022/08/04 17:41:05 - mmengine - INFO - Epoch(train) [141][1580/1879] lr: 1.0000e-04 eta: 1 day, 1:59:41 time: 0.4464 data_time: 0.0135 memory: 17087 grad_norm: 6.5596 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8158 loss: 0.8158 2022/08/04 17:41:14 - mmengine - INFO - Epoch(train) [141][1600/1879] lr: 1.0000e-04 eta: 1 day, 1:59:33 time: 0.4529 data_time: 0.0208 memory: 17087 grad_norm: 6.5813 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9864 loss: 0.9864 2022/08/04 17:41:23 - mmengine - INFO - Epoch(train) [141][1620/1879] lr: 1.0000e-04 eta: 1 day, 1:59:24 time: 0.4271 data_time: 0.0130 memory: 17087 grad_norm: 6.6525 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8895 loss: 0.8895 2022/08/04 17:41:32 - mmengine - INFO - Epoch(train) [141][1640/1879] lr: 1.0000e-04 eta: 1 day, 1:59:15 time: 0.4339 data_time: 0.0187 memory: 17087 grad_norm: 6.5366 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9724 loss: 0.9724 2022/08/04 17:41:40 - mmengine - INFO - Epoch(train) [141][1660/1879] lr: 1.0000e-04 eta: 1 day, 1:59:06 time: 0.4293 data_time: 0.0150 memory: 17087 grad_norm: 6.6642 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9242 loss: 0.9242 2022/08/04 17:41:49 - mmengine - INFO - Epoch(train) [141][1680/1879] lr: 1.0000e-04 eta: 1 day, 1:58:58 time: 0.4296 data_time: 0.0172 memory: 17087 grad_norm: 6.6477 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8267 loss: 0.8267 2022/08/04 17:41:57 - mmengine - INFO - Epoch(train) [141][1700/1879] lr: 1.0000e-04 eta: 1 day, 1:58:49 time: 0.4304 data_time: 0.0136 memory: 17087 grad_norm: 6.5441 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9043 loss: 0.9043 2022/08/04 17:42:07 - mmengine - INFO - Epoch(train) [141][1720/1879] lr: 1.0000e-04 eta: 1 day, 1:58:41 time: 0.4606 data_time: 0.0175 memory: 17087 grad_norm: 6.4239 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8246 loss: 0.8246 2022/08/04 17:42:15 - mmengine - INFO - Epoch(train) [141][1740/1879] lr: 1.0000e-04 eta: 1 day, 1:58:32 time: 0.4269 data_time: 0.0133 memory: 17087 grad_norm: 6.5642 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8836 loss: 0.8836 2022/08/04 17:42:24 - mmengine - INFO - Epoch(train) [141][1760/1879] lr: 1.0000e-04 eta: 1 day, 1:58:24 time: 0.4423 data_time: 0.0173 memory: 17087 grad_norm: 6.3618 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7969 loss: 0.7969 2022/08/04 17:42:33 - mmengine - INFO - Epoch(train) [141][1780/1879] lr: 1.0000e-04 eta: 1 day, 1:58:15 time: 0.4279 data_time: 0.0146 memory: 17087 grad_norm: 6.7742 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9193 loss: 0.9193 2022/08/04 17:42:41 - mmengine - INFO - Epoch(train) [141][1800/1879] lr: 1.0000e-04 eta: 1 day, 1:58:06 time: 0.4318 data_time: 0.0151 memory: 17087 grad_norm: 6.4535 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9496 loss: 0.9496 2022/08/04 17:42:50 - mmengine - INFO - Epoch(train) [141][1820/1879] lr: 1.0000e-04 eta: 1 day, 1:57:58 time: 0.4587 data_time: 0.0136 memory: 17087 grad_norm: 6.5366 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0812 loss: 1.0812 2022/08/04 17:42:59 - mmengine - INFO - Epoch(train) [141][1840/1879] lr: 1.0000e-04 eta: 1 day, 1:57:49 time: 0.4291 data_time: 0.0156 memory: 17087 grad_norm: 6.5494 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7996 loss: 0.7996 2022/08/04 17:43:08 - mmengine - INFO - Epoch(train) [141][1860/1879] lr: 1.0000e-04 eta: 1 day, 1:57:41 time: 0.4375 data_time: 0.0157 memory: 17087 grad_norm: 6.7045 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8411 loss: 0.8411 2022/08/04 17:43:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 17:43:16 - mmengine - INFO - Epoch(train) [141][1879/1879] lr: 1.0000e-04 eta: 1 day, 1:57:41 time: 0.4121 data_time: 0.0160 memory: 17087 grad_norm: 6.7457 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1023 loss: 1.1023 2022/08/04 17:43:27 - mmengine - INFO - Epoch(train) [142][20/1879] lr: 1.0000e-04 eta: 1 day, 1:57:19 time: 0.5621 data_time: 0.1219 memory: 17087 grad_norm: 6.3102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7932 loss: 0.7932 2022/08/04 17:43:36 - mmengine - INFO - Epoch(train) [142][40/1879] lr: 1.0000e-04 eta: 1 day, 1:57:11 time: 0.4311 data_time: 0.0176 memory: 17087 grad_norm: 6.5202 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9975 loss: 0.9975 2022/08/04 17:43:44 - mmengine - INFO - Epoch(train) [142][60/1879] lr: 1.0000e-04 eta: 1 day, 1:57:02 time: 0.4428 data_time: 0.0216 memory: 17087 grad_norm: 6.6062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6117 loss: 0.6117 2022/08/04 17:43:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 17:43:53 - mmengine - INFO - Epoch(train) [142][80/1879] lr: 1.0000e-04 eta: 1 day, 1:56:53 time: 0.4292 data_time: 0.0163 memory: 17087 grad_norm: 6.5813 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9789 loss: 0.9789 2022/08/04 17:44:02 - mmengine - INFO - Epoch(train) [142][100/1879] lr: 1.0000e-04 eta: 1 day, 1:56:45 time: 0.4350 data_time: 0.0161 memory: 17087 grad_norm: 6.4331 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8906 loss: 0.8906 2022/08/04 17:44:10 - mmengine - INFO - Epoch(train) [142][120/1879] lr: 1.0000e-04 eta: 1 day, 1:56:36 time: 0.4293 data_time: 0.0184 memory: 17087 grad_norm: 6.5910 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8711 loss: 0.8711 2022/08/04 17:44:19 - mmengine - INFO - Epoch(train) [142][140/1879] lr: 1.0000e-04 eta: 1 day, 1:56:27 time: 0.4289 data_time: 0.0122 memory: 17087 grad_norm: 6.3778 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9091 loss: 0.9091 2022/08/04 17:44:28 - mmengine - INFO - Epoch(train) [142][160/1879] lr: 1.0000e-04 eta: 1 day, 1:56:19 time: 0.4647 data_time: 0.0182 memory: 17087 grad_norm: 6.3989 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8773 loss: 0.8773 2022/08/04 17:44:37 - mmengine - INFO - Epoch(train) [142][180/1879] lr: 1.0000e-04 eta: 1 day, 1:56:11 time: 0.4295 data_time: 0.0149 memory: 17087 grad_norm: 6.7483 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7952 loss: 0.7952 2022/08/04 17:44:46 - mmengine - INFO - Epoch(train) [142][200/1879] lr: 1.0000e-04 eta: 1 day, 1:56:03 time: 0.4710 data_time: 0.0200 memory: 17087 grad_norm: 6.7803 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0596 loss: 1.0596 2022/08/04 17:44:55 - mmengine - INFO - Epoch(train) [142][220/1879] lr: 1.0000e-04 eta: 1 day, 1:55:54 time: 0.4295 data_time: 0.0160 memory: 17087 grad_norm: 6.4943 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7738 loss: 0.7738 2022/08/04 17:45:04 - mmengine - INFO - Epoch(train) [142][240/1879] lr: 1.0000e-04 eta: 1 day, 1:55:46 time: 0.4581 data_time: 0.0168 memory: 17087 grad_norm: 6.6586 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9766 loss: 0.9766 2022/08/04 17:45:13 - mmengine - INFO - Epoch(train) [142][260/1879] lr: 1.0000e-04 eta: 1 day, 1:55:37 time: 0.4277 data_time: 0.0150 memory: 17087 grad_norm: 6.3804 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8686 loss: 0.8686 2022/08/04 17:45:22 - mmengine - INFO - Epoch(train) [142][280/1879] lr: 1.0000e-04 eta: 1 day, 1:55:28 time: 0.4411 data_time: 0.0163 memory: 17087 grad_norm: 6.6082 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8893 loss: 0.8893 2022/08/04 17:45:30 - mmengine - INFO - Epoch(train) [142][300/1879] lr: 1.0000e-04 eta: 1 day, 1:55:20 time: 0.4377 data_time: 0.0148 memory: 17087 grad_norm: 6.7831 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9628 loss: 0.9628 2022/08/04 17:45:39 - mmengine - INFO - Epoch(train) [142][320/1879] lr: 1.0000e-04 eta: 1 day, 1:55:11 time: 0.4287 data_time: 0.0162 memory: 17087 grad_norm: 6.7819 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0660 loss: 1.0660 2022/08/04 17:45:47 - mmengine - INFO - Epoch(train) [142][340/1879] lr: 1.0000e-04 eta: 1 day, 1:55:02 time: 0.4293 data_time: 0.0149 memory: 17087 grad_norm: 6.7220 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9229 loss: 0.9229 2022/08/04 17:45:56 - mmengine - INFO - Epoch(train) [142][360/1879] lr: 1.0000e-04 eta: 1 day, 1:54:54 time: 0.4302 data_time: 0.0175 memory: 17087 grad_norm: 6.4863 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8632 loss: 0.8632 2022/08/04 17:46:05 - mmengine - INFO - Epoch(train) [142][380/1879] lr: 1.0000e-04 eta: 1 day, 1:54:45 time: 0.4384 data_time: 0.0148 memory: 17087 grad_norm: 6.4380 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8483 loss: 0.8483 2022/08/04 17:46:13 - mmengine - INFO - Epoch(train) [142][400/1879] lr: 1.0000e-04 eta: 1 day, 1:54:37 time: 0.4295 data_time: 0.0161 memory: 17087 grad_norm: 6.4520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9118 loss: 0.9118 2022/08/04 17:46:22 - mmengine - INFO - Epoch(train) [142][420/1879] lr: 1.0000e-04 eta: 1 day, 1:54:28 time: 0.4477 data_time: 0.0160 memory: 17087 grad_norm: 6.6239 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9264 loss: 0.9264 2022/08/04 17:46:31 - mmengine - INFO - Epoch(train) [142][440/1879] lr: 1.0000e-04 eta: 1 day, 1:54:19 time: 0.4284 data_time: 0.0163 memory: 17087 grad_norm: 6.6442 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8301 loss: 0.8301 2022/08/04 17:46:40 - mmengine - INFO - Epoch(train) [142][460/1879] lr: 1.0000e-04 eta: 1 day, 1:54:11 time: 0.4290 data_time: 0.0160 memory: 17087 grad_norm: 6.5132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8119 loss: 0.8119 2022/08/04 17:46:49 - mmengine - INFO - Epoch(train) [142][480/1879] lr: 1.0000e-04 eta: 1 day, 1:54:02 time: 0.4606 data_time: 0.0181 memory: 17087 grad_norm: 6.6379 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8422 loss: 0.8422 2022/08/04 17:46:57 - mmengine - INFO - Epoch(train) [142][500/1879] lr: 1.0000e-04 eta: 1 day, 1:53:54 time: 0.4278 data_time: 0.0174 memory: 17087 grad_norm: 6.7301 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9290 loss: 0.9290 2022/08/04 17:47:06 - mmengine - INFO - Epoch(train) [142][520/1879] lr: 1.0000e-04 eta: 1 day, 1:53:45 time: 0.4301 data_time: 0.0156 memory: 17087 grad_norm: 6.6418 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9163 loss: 0.9163 2022/08/04 17:47:15 - mmengine - INFO - Epoch(train) [142][540/1879] lr: 1.0000e-04 eta: 1 day, 1:53:37 time: 0.4637 data_time: 0.0204 memory: 17087 grad_norm: 6.3880 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7899 loss: 0.7899 2022/08/04 17:47:24 - mmengine - INFO - Epoch(train) [142][560/1879] lr: 1.0000e-04 eta: 1 day, 1:53:28 time: 0.4343 data_time: 0.0209 memory: 17087 grad_norm: 6.5032 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9209 loss: 0.9209 2022/08/04 17:47:33 - mmengine - INFO - Epoch(train) [142][580/1879] lr: 1.0000e-04 eta: 1 day, 1:53:20 time: 0.4685 data_time: 0.0163 memory: 17087 grad_norm: 6.6038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7463 loss: 0.7463 2022/08/04 17:47:42 - mmengine - INFO - Epoch(train) [142][600/1879] lr: 1.0000e-04 eta: 1 day, 1:53:12 time: 0.4373 data_time: 0.0158 memory: 17087 grad_norm: 6.4217 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8488 loss: 0.8488 2022/08/04 17:47:51 - mmengine - INFO - Epoch(train) [142][620/1879] lr: 1.0000e-04 eta: 1 day, 1:53:03 time: 0.4303 data_time: 0.0174 memory: 17087 grad_norm: 6.7557 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9726 loss: 0.9726 2022/08/04 17:48:00 - mmengine - INFO - Epoch(train) [142][640/1879] lr: 1.0000e-04 eta: 1 day, 1:52:54 time: 0.4355 data_time: 0.0172 memory: 17087 grad_norm: 6.4903 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7948 loss: 0.7948 2022/08/04 17:48:08 - mmengine - INFO - Epoch(train) [142][660/1879] lr: 1.0000e-04 eta: 1 day, 1:52:46 time: 0.4302 data_time: 0.0150 memory: 17087 grad_norm: 6.5818 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8704 loss: 0.8704 2022/08/04 17:48:17 - mmengine - INFO - Epoch(train) [142][680/1879] lr: 1.0000e-04 eta: 1 day, 1:52:38 time: 0.4626 data_time: 0.0176 memory: 17087 grad_norm: 6.5173 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7170 loss: 0.7170 2022/08/04 17:48:26 - mmengine - INFO - Epoch(train) [142][700/1879] lr: 1.0000e-04 eta: 1 day, 1:52:29 time: 0.4326 data_time: 0.0187 memory: 17087 grad_norm: 6.3621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7586 loss: 0.7586 2022/08/04 17:48:35 - mmengine - INFO - Epoch(train) [142][720/1879] lr: 1.0000e-04 eta: 1 day, 1:52:20 time: 0.4350 data_time: 0.0203 memory: 17087 grad_norm: 6.5276 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9212 loss: 0.9212 2022/08/04 17:48:43 - mmengine - INFO - Epoch(train) [142][740/1879] lr: 1.0000e-04 eta: 1 day, 1:52:12 time: 0.4295 data_time: 0.0151 memory: 17087 grad_norm: 6.5356 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8513 loss: 0.8513 2022/08/04 17:48:53 - mmengine - INFO - Epoch(train) [142][760/1879] lr: 1.0000e-04 eta: 1 day, 1:52:03 time: 0.4574 data_time: 0.0178 memory: 17087 grad_norm: 6.5270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9081 loss: 0.9081 2022/08/04 17:49:01 - mmengine - INFO - Epoch(train) [142][780/1879] lr: 1.0000e-04 eta: 1 day, 1:51:55 time: 0.4261 data_time: 0.0154 memory: 17087 grad_norm: 6.4031 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8510 loss: 0.8510 2022/08/04 17:49:10 - mmengine - INFO - Epoch(train) [142][800/1879] lr: 1.0000e-04 eta: 1 day, 1:51:46 time: 0.4310 data_time: 0.0162 memory: 17087 grad_norm: 6.5734 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7459 loss: 0.7459 2022/08/04 17:49:19 - mmengine - INFO - Epoch(train) [142][820/1879] lr: 1.0000e-04 eta: 1 day, 1:51:38 time: 0.4625 data_time: 0.0162 memory: 17087 grad_norm: 6.4862 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7507 loss: 0.7507 2022/08/04 17:49:28 - mmengine - INFO - Epoch(train) [142][840/1879] lr: 1.0000e-04 eta: 1 day, 1:51:29 time: 0.4328 data_time: 0.0173 memory: 17087 grad_norm: 6.5031 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8731 loss: 0.8731 2022/08/04 17:49:36 - mmengine - INFO - Epoch(train) [142][860/1879] lr: 1.0000e-04 eta: 1 day, 1:51:21 time: 0.4366 data_time: 0.0151 memory: 17087 grad_norm: 6.5270 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8605 loss: 0.8605 2022/08/04 17:49:45 - mmengine - INFO - Epoch(train) [142][880/1879] lr: 1.0000e-04 eta: 1 day, 1:51:12 time: 0.4306 data_time: 0.0166 memory: 17087 grad_norm: 6.5101 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9064 loss: 0.9064 2022/08/04 17:49:54 - mmengine - INFO - Epoch(train) [142][900/1879] lr: 1.0000e-04 eta: 1 day, 1:51:04 time: 0.4573 data_time: 0.0149 memory: 17087 grad_norm: 6.6282 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8800 loss: 0.8800 2022/08/04 17:50:03 - mmengine - INFO - Epoch(train) [142][920/1879] lr: 1.0000e-04 eta: 1 day, 1:50:55 time: 0.4279 data_time: 0.0155 memory: 17087 grad_norm: 6.5706 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8940 loss: 0.8940 2022/08/04 17:50:11 - mmengine - INFO - Epoch(train) [142][940/1879] lr: 1.0000e-04 eta: 1 day, 1:50:46 time: 0.4304 data_time: 0.0185 memory: 17087 grad_norm: 6.5047 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7599 loss: 0.7599 2022/08/04 17:50:20 - mmengine - INFO - Epoch(train) [142][960/1879] lr: 1.0000e-04 eta: 1 day, 1:50:38 time: 0.4325 data_time: 0.0176 memory: 17087 grad_norm: 6.3943 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9774 loss: 0.9774 2022/08/04 17:50:29 - mmengine - INFO - Epoch(train) [142][980/1879] lr: 1.0000e-04 eta: 1 day, 1:50:29 time: 0.4270 data_time: 0.0144 memory: 17087 grad_norm: 6.4472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9275 loss: 0.9275 2022/08/04 17:50:37 - mmengine - INFO - Epoch(train) [142][1000/1879] lr: 1.0000e-04 eta: 1 day, 1:50:20 time: 0.4403 data_time: 0.0164 memory: 17087 grad_norm: 6.7200 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9925 loss: 0.9925 2022/08/04 17:50:46 - mmengine - INFO - Epoch(train) [142][1020/1879] lr: 1.0000e-04 eta: 1 day, 1:50:12 time: 0.4285 data_time: 0.0131 memory: 17087 grad_norm: 6.5567 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8675 loss: 0.8675 2022/08/04 17:50:55 - mmengine - INFO - Epoch(train) [142][1040/1879] lr: 1.0000e-04 eta: 1 day, 1:50:03 time: 0.4339 data_time: 0.0179 memory: 17087 grad_norm: 6.5952 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9643 loss: 0.9643 2022/08/04 17:51:03 - mmengine - INFO - Epoch(train) [142][1060/1879] lr: 1.0000e-04 eta: 1 day, 1:49:54 time: 0.4295 data_time: 0.0159 memory: 17087 grad_norm: 6.5735 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9792 loss: 0.9792 2022/08/04 17:51:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 17:51:12 - mmengine - INFO - Epoch(train) [142][1080/1879] lr: 1.0000e-04 eta: 1 day, 1:49:46 time: 0.4312 data_time: 0.0166 memory: 17087 grad_norm: 6.4242 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8405 loss: 0.8405 2022/08/04 17:51:21 - mmengine - INFO - Epoch(train) [142][1100/1879] lr: 1.0000e-04 eta: 1 day, 1:49:37 time: 0.4273 data_time: 0.0133 memory: 17087 grad_norm: 6.3657 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9500 loss: 0.9500 2022/08/04 17:51:29 - mmengine - INFO - Epoch(train) [142][1120/1879] lr: 1.0000e-04 eta: 1 day, 1:49:28 time: 0.4384 data_time: 0.0157 memory: 17087 grad_norm: 6.5770 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9290 loss: 0.9290 2022/08/04 17:51:38 - mmengine - INFO - Epoch(train) [142][1140/1879] lr: 1.0000e-04 eta: 1 day, 1:49:20 time: 0.4519 data_time: 0.0161 memory: 17087 grad_norm: 6.6454 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9285 loss: 0.9285 2022/08/04 17:51:47 - mmengine - INFO - Epoch(train) [142][1160/1879] lr: 1.0000e-04 eta: 1 day, 1:49:12 time: 0.4451 data_time: 0.0205 memory: 17087 grad_norm: 6.5199 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9338 loss: 0.9338 2022/08/04 17:51:56 - mmengine - INFO - Epoch(train) [142][1180/1879] lr: 1.0000e-04 eta: 1 day, 1:49:03 time: 0.4287 data_time: 0.0159 memory: 17087 grad_norm: 6.6235 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9287 loss: 0.9287 2022/08/04 17:52:06 - mmengine - INFO - Epoch(train) [142][1200/1879] lr: 1.0000e-04 eta: 1 day, 1:48:55 time: 0.4951 data_time: 0.0162 memory: 17087 grad_norm: 6.4982 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0123 loss: 1.0123 2022/08/04 17:52:14 - mmengine - INFO - Epoch(train) [142][1220/1879] lr: 1.0000e-04 eta: 1 day, 1:48:46 time: 0.4282 data_time: 0.0157 memory: 17087 grad_norm: 6.6512 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9241 loss: 0.9241 2022/08/04 17:52:23 - mmengine - INFO - Epoch(train) [142][1240/1879] lr: 1.0000e-04 eta: 1 day, 1:48:38 time: 0.4346 data_time: 0.0166 memory: 17087 grad_norm: 6.6776 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9730 loss: 0.9730 2022/08/04 17:52:32 - mmengine - INFO - Epoch(train) [142][1260/1879] lr: 1.0000e-04 eta: 1 day, 1:48:29 time: 0.4309 data_time: 0.0156 memory: 17087 grad_norm: 6.3742 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8942 loss: 0.8942 2022/08/04 17:52:40 - mmengine - INFO - Epoch(train) [142][1280/1879] lr: 1.0000e-04 eta: 1 day, 1:48:20 time: 0.4295 data_time: 0.0190 memory: 17087 grad_norm: 6.5261 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7737 loss: 0.7737 2022/08/04 17:52:49 - mmengine - INFO - Epoch(train) [142][1300/1879] lr: 1.0000e-04 eta: 1 day, 1:48:12 time: 0.4350 data_time: 0.0156 memory: 17087 grad_norm: 6.3656 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9787 loss: 0.9787 2022/08/04 17:52:58 - mmengine - INFO - Epoch(train) [142][1320/1879] lr: 1.0000e-04 eta: 1 day, 1:48:03 time: 0.4294 data_time: 0.0166 memory: 17087 grad_norm: 6.6026 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9047 loss: 0.9047 2022/08/04 17:53:07 - mmengine - INFO - Epoch(train) [142][1340/1879] lr: 1.0000e-04 eta: 1 day, 1:47:55 time: 0.4534 data_time: 0.0163 memory: 17087 grad_norm: 6.5962 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7648 loss: 0.7648 2022/08/04 17:53:15 - mmengine - INFO - Epoch(train) [142][1360/1879] lr: 1.0000e-04 eta: 1 day, 1:47:46 time: 0.4292 data_time: 0.0166 memory: 17087 grad_norm: 6.6267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1287 loss: 1.1287 2022/08/04 17:53:24 - mmengine - INFO - Epoch(train) [142][1380/1879] lr: 1.0000e-04 eta: 1 day, 1:47:38 time: 0.4510 data_time: 0.0165 memory: 17087 grad_norm: 6.4354 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9025 loss: 0.9025 2022/08/04 17:53:33 - mmengine - INFO - Epoch(train) [142][1400/1879] lr: 1.0000e-04 eta: 1 day, 1:47:29 time: 0.4294 data_time: 0.0159 memory: 17087 grad_norm: 6.4647 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8569 loss: 0.8569 2022/08/04 17:53:42 - mmengine - INFO - Epoch(train) [142][1420/1879] lr: 1.0000e-04 eta: 1 day, 1:47:20 time: 0.4268 data_time: 0.0143 memory: 17087 grad_norm: 6.5386 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9150 loss: 0.9150 2022/08/04 17:53:51 - mmengine - INFO - Epoch(train) [142][1440/1879] lr: 1.0000e-04 eta: 1 day, 1:47:12 time: 0.4519 data_time: 0.0195 memory: 17087 grad_norm: 6.7901 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9684 loss: 0.9684 2022/08/04 17:53:59 - mmengine - INFO - Epoch(train) [142][1460/1879] lr: 1.0000e-04 eta: 1 day, 1:47:03 time: 0.4320 data_time: 0.0151 memory: 17087 grad_norm: 6.7149 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9743 loss: 0.9743 2022/08/04 17:54:09 - mmengine - INFO - Epoch(train) [142][1480/1879] lr: 1.0000e-04 eta: 1 day, 1:46:55 time: 0.4684 data_time: 0.0188 memory: 17087 grad_norm: 6.5654 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7712 loss: 0.7712 2022/08/04 17:54:17 - mmengine - INFO - Epoch(train) [142][1500/1879] lr: 1.0000e-04 eta: 1 day, 1:46:47 time: 0.4276 data_time: 0.0142 memory: 17087 grad_norm: 6.5635 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9784 loss: 0.9784 2022/08/04 17:54:27 - mmengine - INFO - Epoch(train) [142][1520/1879] lr: 1.0000e-04 eta: 1 day, 1:46:38 time: 0.4667 data_time: 0.0196 memory: 17087 grad_norm: 6.8551 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1305 loss: 1.1305 2022/08/04 17:54:35 - mmengine - INFO - Epoch(train) [142][1540/1879] lr: 1.0000e-04 eta: 1 day, 1:46:30 time: 0.4288 data_time: 0.0158 memory: 17087 grad_norm: 6.6263 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9192 loss: 0.9192 2022/08/04 17:54:44 - mmengine - INFO - Epoch(train) [142][1560/1879] lr: 1.0000e-04 eta: 1 day, 1:46:21 time: 0.4373 data_time: 0.0169 memory: 17087 grad_norm: 6.7570 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7749 loss: 0.7749 2022/08/04 17:54:53 - mmengine - INFO - Epoch(train) [142][1580/1879] lr: 1.0000e-04 eta: 1 day, 1:46:12 time: 0.4277 data_time: 0.0148 memory: 17087 grad_norm: 6.7285 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8159 loss: 0.8159 2022/08/04 17:55:01 - mmengine - INFO - Epoch(train) [142][1600/1879] lr: 1.0000e-04 eta: 1 day, 1:46:04 time: 0.4276 data_time: 0.0160 memory: 17087 grad_norm: 6.5195 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9112 loss: 0.9112 2022/08/04 17:55:10 - mmengine - INFO - Epoch(train) [142][1620/1879] lr: 1.0000e-04 eta: 1 day, 1:45:55 time: 0.4376 data_time: 0.0158 memory: 17087 grad_norm: 6.4713 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8139 loss: 0.8139 2022/08/04 17:55:19 - mmengine - INFO - Epoch(train) [142][1640/1879] lr: 1.0000e-04 eta: 1 day, 1:45:47 time: 0.4482 data_time: 0.0175 memory: 17087 grad_norm: 6.5223 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8300 loss: 0.8300 2022/08/04 17:55:28 - mmengine - INFO - Epoch(train) [142][1660/1879] lr: 1.0000e-04 eta: 1 day, 1:45:38 time: 0.4349 data_time: 0.0143 memory: 17087 grad_norm: 6.6016 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8291 loss: 0.8291 2022/08/04 17:55:36 - mmengine - INFO - Epoch(train) [142][1680/1879] lr: 1.0000e-04 eta: 1 day, 1:45:30 time: 0.4375 data_time: 0.0238 memory: 17087 grad_norm: 6.4655 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9705 loss: 0.9705 2022/08/04 17:55:46 - mmengine - INFO - Epoch(train) [142][1700/1879] lr: 1.0000e-04 eta: 1 day, 1:45:21 time: 0.4624 data_time: 0.0156 memory: 17087 grad_norm: 6.5789 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7329 loss: 0.7329 2022/08/04 17:55:54 - mmengine - INFO - Epoch(train) [142][1720/1879] lr: 1.0000e-04 eta: 1 day, 1:45:13 time: 0.4388 data_time: 0.0233 memory: 17087 grad_norm: 6.6198 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7791 loss: 0.7791 2022/08/04 17:56:03 - mmengine - INFO - Epoch(train) [142][1740/1879] lr: 1.0000e-04 eta: 1 day, 1:45:04 time: 0.4297 data_time: 0.0136 memory: 17087 grad_norm: 6.4010 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9322 loss: 0.9322 2022/08/04 17:56:12 - mmengine - INFO - Epoch(train) [142][1760/1879] lr: 1.0000e-04 eta: 1 day, 1:44:55 time: 0.4300 data_time: 0.0174 memory: 17087 grad_norm: 6.3447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7698 loss: 0.7698 2022/08/04 17:56:20 - mmengine - INFO - Epoch(train) [142][1780/1879] lr: 1.0000e-04 eta: 1 day, 1:44:47 time: 0.4301 data_time: 0.0151 memory: 17087 grad_norm: 6.4512 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8016 loss: 0.8016 2022/08/04 17:56:29 - mmengine - INFO - Epoch(train) [142][1800/1879] lr: 1.0000e-04 eta: 1 day, 1:44:38 time: 0.4355 data_time: 0.0207 memory: 17087 grad_norm: 6.5586 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9553 loss: 0.9553 2022/08/04 17:56:38 - mmengine - INFO - Epoch(train) [142][1820/1879] lr: 1.0000e-04 eta: 1 day, 1:44:30 time: 0.4555 data_time: 0.0151 memory: 17087 grad_norm: 6.4723 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8675 loss: 0.8675 2022/08/04 17:56:47 - mmengine - INFO - Epoch(train) [142][1840/1879] lr: 1.0000e-04 eta: 1 day, 1:44:21 time: 0.4421 data_time: 0.0216 memory: 17087 grad_norm: 6.4509 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9212 loss: 0.9212 2022/08/04 17:56:56 - mmengine - INFO - Epoch(train) [142][1860/1879] lr: 1.0000e-04 eta: 1 day, 1:44:13 time: 0.4525 data_time: 0.0166 memory: 17087 grad_norm: 6.5675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9898 loss: 0.9898 2022/08/04 17:57:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 17:57:04 - mmengine - INFO - Epoch(train) [142][1879/1879] lr: 1.0000e-04 eta: 1 day, 1:44:13 time: 0.4156 data_time: 0.0192 memory: 17087 grad_norm: 6.5083 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8349 loss: 0.8349 2022/08/04 17:57:15 - mmengine - INFO - Epoch(train) [143][20/1879] lr: 1.0000e-04 eta: 1 day, 1:43:52 time: 0.5716 data_time: 0.1205 memory: 17087 grad_norm: 6.3434 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9092 loss: 0.9092 2022/08/04 17:57:24 - mmengine - INFO - Epoch(train) [143][40/1879] lr: 1.0000e-04 eta: 1 day, 1:43:43 time: 0.4387 data_time: 0.0159 memory: 17087 grad_norm: 6.5487 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9137 loss: 0.9137 2022/08/04 17:57:33 - mmengine - INFO - Epoch(train) [143][60/1879] lr: 1.0000e-04 eta: 1 day, 1:43:35 time: 0.4352 data_time: 0.0154 memory: 17087 grad_norm: 6.5231 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9869 loss: 0.9869 2022/08/04 17:57:42 - mmengine - INFO - Epoch(train) [143][80/1879] lr: 1.0000e-04 eta: 1 day, 1:43:26 time: 0.4323 data_time: 0.0176 memory: 17087 grad_norm: 6.7098 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8638 loss: 0.8638 2022/08/04 17:57:50 - mmengine - INFO - Epoch(train) [143][100/1879] lr: 1.0000e-04 eta: 1 day, 1:43:17 time: 0.4286 data_time: 0.0138 memory: 17087 grad_norm: 6.6370 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9629 loss: 0.9629 2022/08/04 17:57:59 - mmengine - INFO - Epoch(train) [143][120/1879] lr: 1.0000e-04 eta: 1 day, 1:43:09 time: 0.4619 data_time: 0.0218 memory: 17087 grad_norm: 6.7967 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9462 loss: 0.9462 2022/08/04 17:58:08 - mmengine - INFO - Epoch(train) [143][140/1879] lr: 1.0000e-04 eta: 1 day, 1:43:00 time: 0.4339 data_time: 0.0186 memory: 17087 grad_norm: 6.4758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7843 loss: 0.7843 2022/08/04 17:58:17 - mmengine - INFO - Epoch(train) [143][160/1879] lr: 1.0000e-04 eta: 1 day, 1:42:52 time: 0.4513 data_time: 0.0197 memory: 17087 grad_norm: 6.2803 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8202 loss: 0.8202 2022/08/04 17:58:26 - mmengine - INFO - Epoch(train) [143][180/1879] lr: 1.0000e-04 eta: 1 day, 1:42:44 time: 0.4324 data_time: 0.0185 memory: 17087 grad_norm: 6.5441 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8353 loss: 0.8353 2022/08/04 17:58:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 17:58:34 - mmengine - INFO - Epoch(train) [143][200/1879] lr: 1.0000e-04 eta: 1 day, 1:42:35 time: 0.4329 data_time: 0.0172 memory: 17087 grad_norm: 6.6680 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9808 loss: 0.9808 2022/08/04 17:58:44 - mmengine - INFO - Epoch(train) [143][220/1879] lr: 1.0000e-04 eta: 1 day, 1:42:27 time: 0.4531 data_time: 0.0150 memory: 17087 grad_norm: 6.5488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8738 loss: 0.8738 2022/08/04 17:58:52 - mmengine - INFO - Epoch(train) [143][240/1879] lr: 1.0000e-04 eta: 1 day, 1:42:18 time: 0.4307 data_time: 0.0170 memory: 17087 grad_norm: 6.2976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9044 loss: 0.9044 2022/08/04 17:59:01 - mmengine - INFO - Epoch(train) [143][260/1879] lr: 1.0000e-04 eta: 1 day, 1:42:09 time: 0.4284 data_time: 0.0148 memory: 17087 grad_norm: 6.8646 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0382 loss: 1.0382 2022/08/04 17:59:10 - mmengine - INFO - Epoch(train) [143][280/1879] lr: 1.0000e-04 eta: 1 day, 1:42:01 time: 0.4401 data_time: 0.0178 memory: 17087 grad_norm: 6.5641 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8061 loss: 0.8061 2022/08/04 17:59:18 - mmengine - INFO - Epoch(train) [143][300/1879] lr: 1.0000e-04 eta: 1 day, 1:41:52 time: 0.4284 data_time: 0.0139 memory: 17087 grad_norm: 6.3574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0469 loss: 1.0469 2022/08/04 17:59:27 - mmengine - INFO - Epoch(train) [143][320/1879] lr: 1.0000e-04 eta: 1 day, 1:41:43 time: 0.4423 data_time: 0.0171 memory: 17087 grad_norm: 6.5534 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7612 loss: 0.7612 2022/08/04 17:59:36 - mmengine - INFO - Epoch(train) [143][340/1879] lr: 1.0000e-04 eta: 1 day, 1:41:35 time: 0.4361 data_time: 0.0148 memory: 17087 grad_norm: 6.6016 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0560 loss: 1.0560 2022/08/04 17:59:44 - mmengine - INFO - Epoch(train) [143][360/1879] lr: 1.0000e-04 eta: 1 day, 1:41:26 time: 0.4309 data_time: 0.0164 memory: 17087 grad_norm: 6.5412 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8141 loss: 0.8141 2022/08/04 17:59:53 - mmengine - INFO - Epoch(train) [143][380/1879] lr: 1.0000e-04 eta: 1 day, 1:41:18 time: 0.4388 data_time: 0.0167 memory: 17087 grad_norm: 6.6239 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9659 loss: 0.9659 2022/08/04 18:00:04 - mmengine - INFO - Epoch(train) [143][400/1879] lr: 1.0000e-04 eta: 1 day, 1:41:11 time: 0.5304 data_time: 0.0176 memory: 17087 grad_norm: 6.2396 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7937 loss: 0.7937 2022/08/04 18:00:13 - mmengine - INFO - Epoch(train) [143][420/1879] lr: 1.0000e-04 eta: 1 day, 1:41:03 time: 0.4842 data_time: 0.0201 memory: 17087 grad_norm: 6.5632 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8304 loss: 0.8304 2022/08/04 18:00:22 - mmengine - INFO - Epoch(train) [143][440/1879] lr: 1.0000e-04 eta: 1 day, 1:40:54 time: 0.4276 data_time: 0.0144 memory: 17087 grad_norm: 6.7700 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8937 loss: 0.8937 2022/08/04 18:00:31 - mmengine - INFO - Epoch(train) [143][460/1879] lr: 1.0000e-04 eta: 1 day, 1:40:46 time: 0.4585 data_time: 0.0157 memory: 17087 grad_norm: 6.5626 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8665 loss: 0.8665 2022/08/04 18:00:40 - mmengine - INFO - Epoch(train) [143][480/1879] lr: 1.0000e-04 eta: 1 day, 1:40:37 time: 0.4269 data_time: 0.0153 memory: 17087 grad_norm: 6.3736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7179 loss: 0.7179 2022/08/04 18:00:49 - mmengine - INFO - Epoch(train) [143][500/1879] lr: 1.0000e-04 eta: 1 day, 1:40:29 time: 0.4532 data_time: 0.0171 memory: 17087 grad_norm: 6.4719 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8490 loss: 0.8490 2022/08/04 18:00:58 - mmengine - INFO - Epoch(train) [143][520/1879] lr: 1.0000e-04 eta: 1 day, 1:40:20 time: 0.4314 data_time: 0.0146 memory: 17087 grad_norm: 6.4552 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8326 loss: 0.8326 2022/08/04 18:01:06 - mmengine - INFO - Epoch(train) [143][540/1879] lr: 1.0000e-04 eta: 1 day, 1:40:12 time: 0.4439 data_time: 0.0180 memory: 17087 grad_norm: 6.8419 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7214 loss: 0.7214 2022/08/04 18:01:15 - mmengine - INFO - Epoch(train) [143][560/1879] lr: 1.0000e-04 eta: 1 day, 1:40:03 time: 0.4272 data_time: 0.0138 memory: 17087 grad_norm: 6.6164 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7002 loss: 0.7002 2022/08/04 18:01:24 - mmengine - INFO - Epoch(train) [143][580/1879] lr: 1.0000e-04 eta: 1 day, 1:39:54 time: 0.4332 data_time: 0.0167 memory: 17087 grad_norm: 6.3337 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7876 loss: 0.7876 2022/08/04 18:01:32 - mmengine - INFO - Epoch(train) [143][600/1879] lr: 1.0000e-04 eta: 1 day, 1:39:45 time: 0.4268 data_time: 0.0164 memory: 17087 grad_norm: 6.6472 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8307 loss: 0.8307 2022/08/04 18:01:41 - mmengine - INFO - Epoch(train) [143][620/1879] lr: 1.0000e-04 eta: 1 day, 1:39:37 time: 0.4327 data_time: 0.0156 memory: 17087 grad_norm: 6.5284 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8709 loss: 0.8709 2022/08/04 18:01:50 - mmengine - INFO - Epoch(train) [143][640/1879] lr: 1.0000e-04 eta: 1 day, 1:39:28 time: 0.4565 data_time: 0.0147 memory: 17087 grad_norm: 6.8999 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0824 loss: 1.0824 2022/08/04 18:01:59 - mmengine - INFO - Epoch(train) [143][660/1879] lr: 1.0000e-04 eta: 1 day, 1:39:20 time: 0.4291 data_time: 0.0165 memory: 17087 grad_norm: 6.5449 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8218 loss: 0.8218 2022/08/04 18:02:08 - mmengine - INFO - Epoch(train) [143][680/1879] lr: 1.0000e-04 eta: 1 day, 1:39:11 time: 0.4463 data_time: 0.0160 memory: 17087 grad_norm: 6.6716 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9445 loss: 0.9445 2022/08/04 18:02:16 - mmengine - INFO - Epoch(train) [143][700/1879] lr: 1.0000e-04 eta: 1 day, 1:39:03 time: 0.4286 data_time: 0.0176 memory: 17087 grad_norm: 6.6010 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9833 loss: 0.9833 2022/08/04 18:02:25 - mmengine - INFO - Epoch(train) [143][720/1879] lr: 1.0000e-04 eta: 1 day, 1:38:54 time: 0.4511 data_time: 0.0163 memory: 17087 grad_norm: 6.8325 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9217 loss: 0.9217 2022/08/04 18:02:34 - mmengine - INFO - Epoch(train) [143][740/1879] lr: 1.0000e-04 eta: 1 day, 1:38:46 time: 0.4332 data_time: 0.0162 memory: 17087 grad_norm: 6.4847 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7957 loss: 0.7957 2022/08/04 18:02:43 - mmengine - INFO - Epoch(train) [143][760/1879] lr: 1.0000e-04 eta: 1 day, 1:38:37 time: 0.4312 data_time: 0.0156 memory: 17087 grad_norm: 6.4292 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8678 loss: 0.8678 2022/08/04 18:02:52 - mmengine - INFO - Epoch(train) [143][780/1879] lr: 1.0000e-04 eta: 1 day, 1:38:29 time: 0.4547 data_time: 0.0176 memory: 17087 grad_norm: 6.7422 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0554 loss: 1.0554 2022/08/04 18:03:00 - mmengine - INFO - Epoch(train) [143][800/1879] lr: 1.0000e-04 eta: 1 day, 1:38:20 time: 0.4291 data_time: 0.0149 memory: 17087 grad_norm: 6.5985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9132 loss: 0.9132 2022/08/04 18:03:09 - mmengine - INFO - Epoch(train) [143][820/1879] lr: 1.0000e-04 eta: 1 day, 1:38:12 time: 0.4607 data_time: 0.0181 memory: 17087 grad_norm: 6.3201 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9064 loss: 0.9064 2022/08/04 18:03:18 - mmengine - INFO - Epoch(train) [143][840/1879] lr: 1.0000e-04 eta: 1 day, 1:38:03 time: 0.4290 data_time: 0.0150 memory: 17087 grad_norm: 6.8355 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0278 loss: 1.0278 2022/08/04 18:03:27 - mmengine - INFO - Epoch(train) [143][860/1879] lr: 1.0000e-04 eta: 1 day, 1:37:54 time: 0.4365 data_time: 0.0162 memory: 17087 grad_norm: 6.6134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8817 loss: 0.8817 2022/08/04 18:03:35 - mmengine - INFO - Epoch(train) [143][880/1879] lr: 1.0000e-04 eta: 1 day, 1:37:46 time: 0.4280 data_time: 0.0140 memory: 17087 grad_norm: 6.7355 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9273 loss: 0.9273 2022/08/04 18:03:44 - mmengine - INFO - Epoch(train) [143][900/1879] lr: 1.0000e-04 eta: 1 day, 1:37:37 time: 0.4544 data_time: 0.0171 memory: 17087 grad_norm: 6.6328 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8773 loss: 0.8773 2022/08/04 18:03:53 - mmengine - INFO - Epoch(train) [143][920/1879] lr: 1.0000e-04 eta: 1 day, 1:37:29 time: 0.4268 data_time: 0.0139 memory: 17087 grad_norm: 6.8914 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0414 loss: 1.0414 2022/08/04 18:04:02 - mmengine - INFO - Epoch(train) [143][940/1879] lr: 1.0000e-04 eta: 1 day, 1:37:20 time: 0.4307 data_time: 0.0159 memory: 17087 grad_norm: 6.4939 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8130 loss: 0.8130 2022/08/04 18:04:10 - mmengine - INFO - Epoch(train) [143][960/1879] lr: 1.0000e-04 eta: 1 day, 1:37:11 time: 0.4358 data_time: 0.0167 memory: 17087 grad_norm: 6.5776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9009 loss: 0.9009 2022/08/04 18:04:19 - mmengine - INFO - Epoch(train) [143][980/1879] lr: 1.0000e-04 eta: 1 day, 1:37:03 time: 0.4285 data_time: 0.0155 memory: 17087 grad_norm: 6.5321 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0011 loss: 1.0011 2022/08/04 18:04:28 - mmengine - INFO - Epoch(train) [143][1000/1879] lr: 1.0000e-04 eta: 1 day, 1:36:54 time: 0.4473 data_time: 0.0163 memory: 17087 grad_norm: 6.4242 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9454 loss: 0.9454 2022/08/04 18:04:37 - mmengine - INFO - Epoch(train) [143][1020/1879] lr: 1.0000e-04 eta: 1 day, 1:36:46 time: 0.4296 data_time: 0.0164 memory: 17087 grad_norm: 6.4580 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0834 loss: 1.0834 2022/08/04 18:04:46 - mmengine - INFO - Epoch(train) [143][1040/1879] lr: 1.0000e-04 eta: 1 day, 1:36:37 time: 0.4639 data_time: 0.0153 memory: 17087 grad_norm: 6.6602 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8946 loss: 0.8946 2022/08/04 18:04:54 - mmengine - INFO - Epoch(train) [143][1060/1879] lr: 1.0000e-04 eta: 1 day, 1:36:29 time: 0.4307 data_time: 0.0166 memory: 17087 grad_norm: 6.5313 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9829 loss: 0.9829 2022/08/04 18:05:03 - mmengine - INFO - Epoch(train) [143][1080/1879] lr: 1.0000e-04 eta: 1 day, 1:36:20 time: 0.4291 data_time: 0.0144 memory: 17087 grad_norm: 6.3777 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8977 loss: 0.8977 2022/08/04 18:05:12 - mmengine - INFO - Epoch(train) [143][1100/1879] lr: 1.0000e-04 eta: 1 day, 1:36:12 time: 0.4428 data_time: 0.0183 memory: 17087 grad_norm: 6.4477 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8646 loss: 0.8646 2022/08/04 18:05:21 - mmengine - INFO - Epoch(train) [143][1120/1879] lr: 1.0000e-04 eta: 1 day, 1:36:03 time: 0.4285 data_time: 0.0149 memory: 17087 grad_norm: 6.4124 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9685 loss: 0.9685 2022/08/04 18:05:29 - mmengine - INFO - Epoch(train) [143][1140/1879] lr: 1.0000e-04 eta: 1 day, 1:35:54 time: 0.4442 data_time: 0.0188 memory: 17087 grad_norm: 6.7017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7949 loss: 0.7949 2022/08/04 18:05:38 - mmengine - INFO - Epoch(train) [143][1160/1879] lr: 1.0000e-04 eta: 1 day, 1:35:46 time: 0.4303 data_time: 0.0152 memory: 17087 grad_norm: 6.6926 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9750 loss: 0.9750 2022/08/04 18:05:47 - mmengine - INFO - Epoch(train) [143][1180/1879] lr: 1.0000e-04 eta: 1 day, 1:35:37 time: 0.4535 data_time: 0.0171 memory: 17087 grad_norm: 6.4593 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9210 loss: 0.9210 2022/08/04 18:05:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 18:05:56 - mmengine - INFO - Epoch(train) [143][1200/1879] lr: 1.0000e-04 eta: 1 day, 1:35:29 time: 0.4291 data_time: 0.0153 memory: 17087 grad_norm: 6.5870 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8677 loss: 0.8677 2022/08/04 18:06:05 - mmengine - INFO - Epoch(train) [143][1220/1879] lr: 1.0000e-04 eta: 1 day, 1:35:20 time: 0.4382 data_time: 0.0160 memory: 17087 grad_norm: 6.6187 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8033 loss: 0.8033 2022/08/04 18:06:13 - mmengine - INFO - Epoch(train) [143][1240/1879] lr: 1.0000e-04 eta: 1 day, 1:35:11 time: 0.4284 data_time: 0.0139 memory: 17087 grad_norm: 6.6690 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9861 loss: 0.9861 2022/08/04 18:06:22 - mmengine - INFO - Epoch(train) [143][1260/1879] lr: 1.0000e-04 eta: 1 day, 1:35:03 time: 0.4300 data_time: 0.0153 memory: 17087 grad_norm: 6.4915 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7313 loss: 0.7313 2022/08/04 18:06:31 - mmengine - INFO - Epoch(train) [143][1280/1879] lr: 1.0000e-04 eta: 1 day, 1:34:54 time: 0.4428 data_time: 0.0158 memory: 17087 grad_norm: 6.3151 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0398 loss: 1.0398 2022/08/04 18:06:39 - mmengine - INFO - Epoch(train) [143][1300/1879] lr: 1.0000e-04 eta: 1 day, 1:34:46 time: 0.4308 data_time: 0.0160 memory: 17087 grad_norm: 6.5649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9481 loss: 0.9481 2022/08/04 18:06:48 - mmengine - INFO - Epoch(train) [143][1320/1879] lr: 1.0000e-04 eta: 1 day, 1:34:37 time: 0.4312 data_time: 0.0151 memory: 17087 grad_norm: 6.5773 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7469 loss: 0.7469 2022/08/04 18:06:56 - mmengine - INFO - Epoch(train) [143][1340/1879] lr: 1.0000e-04 eta: 1 day, 1:34:28 time: 0.4286 data_time: 0.0153 memory: 17087 grad_norm: 6.4598 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8417 loss: 0.8417 2022/08/04 18:07:06 - mmengine - INFO - Epoch(train) [143][1360/1879] lr: 1.0000e-04 eta: 1 day, 1:34:20 time: 0.4565 data_time: 0.0162 memory: 17087 grad_norm: 6.5477 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9023 loss: 0.9023 2022/08/04 18:07:14 - mmengine - INFO - Epoch(train) [143][1380/1879] lr: 1.0000e-04 eta: 1 day, 1:34:11 time: 0.4312 data_time: 0.0153 memory: 17087 grad_norm: 6.3392 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9248 loss: 0.9248 2022/08/04 18:07:23 - mmengine - INFO - Epoch(train) [143][1400/1879] lr: 1.0000e-04 eta: 1 day, 1:34:03 time: 0.4284 data_time: 0.0146 memory: 17087 grad_norm: 6.5555 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7480 loss: 0.7480 2022/08/04 18:07:32 - mmengine - INFO - Epoch(train) [143][1420/1879] lr: 1.0000e-04 eta: 1 day, 1:33:54 time: 0.4404 data_time: 0.0226 memory: 17087 grad_norm: 6.4856 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9239 loss: 0.9239 2022/08/04 18:07:40 - mmengine - INFO - Epoch(train) [143][1440/1879] lr: 1.0000e-04 eta: 1 day, 1:33:45 time: 0.4340 data_time: 0.0143 memory: 17087 grad_norm: 6.7182 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8953 loss: 0.8953 2022/08/04 18:07:49 - mmengine - INFO - Epoch(train) [143][1460/1879] lr: 1.0000e-04 eta: 1 day, 1:33:37 time: 0.4334 data_time: 0.0172 memory: 17087 grad_norm: 6.4040 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8507 loss: 0.8507 2022/08/04 18:07:58 - mmengine - INFO - Epoch(train) [143][1480/1879] lr: 1.0000e-04 eta: 1 day, 1:33:28 time: 0.4377 data_time: 0.0147 memory: 17087 grad_norm: 6.4905 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8023 loss: 0.8023 2022/08/04 18:08:07 - mmengine - INFO - Epoch(train) [143][1500/1879] lr: 1.0000e-04 eta: 1 day, 1:33:20 time: 0.4593 data_time: 0.0177 memory: 17087 grad_norm: 6.6107 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0081 loss: 1.0081 2022/08/04 18:08:16 - mmengine - INFO - Epoch(train) [143][1520/1879] lr: 1.0000e-04 eta: 1 day, 1:33:11 time: 0.4291 data_time: 0.0157 memory: 17087 grad_norm: 6.8033 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9055 loss: 0.9055 2022/08/04 18:08:24 - mmengine - INFO - Epoch(train) [143][1540/1879] lr: 1.0000e-04 eta: 1 day, 1:33:03 time: 0.4318 data_time: 0.0158 memory: 17087 grad_norm: 6.5793 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8958 loss: 0.8958 2022/08/04 18:08:33 - mmengine - INFO - Epoch(train) [143][1560/1879] lr: 1.0000e-04 eta: 1 day, 1:32:54 time: 0.4262 data_time: 0.0136 memory: 17087 grad_norm: 6.6420 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9001 loss: 0.9001 2022/08/04 18:08:42 - mmengine - INFO - Epoch(train) [143][1580/1879] lr: 1.0000e-04 eta: 1 day, 1:32:45 time: 0.4360 data_time: 0.0176 memory: 17087 grad_norm: 6.4597 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9144 loss: 0.9144 2022/08/04 18:08:50 - mmengine - INFO - Epoch(train) [143][1600/1879] lr: 1.0000e-04 eta: 1 day, 1:32:37 time: 0.4287 data_time: 0.0158 memory: 17087 grad_norm: 6.5824 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8343 loss: 0.8343 2022/08/04 18:09:00 - mmengine - INFO - Epoch(train) [143][1620/1879] lr: 1.0000e-04 eta: 1 day, 1:32:28 time: 0.4709 data_time: 0.0191 memory: 17087 grad_norm: 6.4900 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7790 loss: 0.7790 2022/08/04 18:09:08 - mmengine - INFO - Epoch(train) [143][1640/1879] lr: 1.0000e-04 eta: 1 day, 1:32:20 time: 0.4290 data_time: 0.0156 memory: 17087 grad_norm: 6.7386 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8886 loss: 0.8886 2022/08/04 18:09:17 - mmengine - INFO - Epoch(train) [143][1660/1879] lr: 1.0000e-04 eta: 1 day, 1:32:12 time: 0.4576 data_time: 0.0213 memory: 17087 grad_norm: 6.7468 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8917 loss: 0.8917 2022/08/04 18:09:26 - mmengine - INFO - Epoch(train) [143][1680/1879] lr: 1.0000e-04 eta: 1 day, 1:32:03 time: 0.4302 data_time: 0.0157 memory: 17087 grad_norm: 6.4735 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8371 loss: 0.8371 2022/08/04 18:09:35 - mmengine - INFO - Epoch(train) [143][1700/1879] lr: 1.0000e-04 eta: 1 day, 1:31:54 time: 0.4321 data_time: 0.0226 memory: 17087 grad_norm: 6.6071 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8775 loss: 0.8775 2022/08/04 18:09:43 - mmengine - INFO - Epoch(train) [143][1720/1879] lr: 1.0000e-04 eta: 1 day, 1:31:45 time: 0.4281 data_time: 0.0157 memory: 17087 grad_norm: 6.4662 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9618 loss: 0.9618 2022/08/04 18:09:52 - mmengine - INFO - Epoch(train) [143][1740/1879] lr: 1.0000e-04 eta: 1 day, 1:31:37 time: 0.4291 data_time: 0.0154 memory: 17087 grad_norm: 6.6681 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9566 loss: 0.9566 2022/08/04 18:10:00 - mmengine - INFO - Epoch(train) [143][1760/1879] lr: 1.0000e-04 eta: 1 day, 1:31:28 time: 0.4314 data_time: 0.0147 memory: 17087 grad_norm: 6.5763 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8872 loss: 0.8872 2022/08/04 18:10:09 - mmengine - INFO - Epoch(train) [143][1780/1879] lr: 1.0000e-04 eta: 1 day, 1:31:19 time: 0.4301 data_time: 0.0165 memory: 17087 grad_norm: 6.4391 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0171 loss: 1.0171 2022/08/04 18:10:18 - mmengine - INFO - Epoch(train) [143][1800/1879] lr: 1.0000e-04 eta: 1 day, 1:31:11 time: 0.4304 data_time: 0.0183 memory: 17087 grad_norm: 6.3741 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8456 loss: 0.8456 2022/08/04 18:10:26 - mmengine - INFO - Epoch(train) [143][1820/1879] lr: 1.0000e-04 eta: 1 day, 1:31:02 time: 0.4289 data_time: 0.0154 memory: 17087 grad_norm: 6.5261 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9258 loss: 0.9258 2022/08/04 18:10:35 - mmengine - INFO - Epoch(train) [143][1840/1879] lr: 1.0000e-04 eta: 1 day, 1:30:54 time: 0.4513 data_time: 0.0157 memory: 17087 grad_norm: 6.8817 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9415 loss: 0.9415 2022/08/04 18:10:44 - mmengine - INFO - Epoch(train) [143][1860/1879] lr: 1.0000e-04 eta: 1 day, 1:30:45 time: 0.4291 data_time: 0.0156 memory: 17087 grad_norm: 6.6500 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0901 loss: 1.0901 2022/08/04 18:10:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 18:10:52 - mmengine - INFO - Epoch(train) [143][1879/1879] lr: 1.0000e-04 eta: 1 day, 1:30:45 time: 0.4156 data_time: 0.0188 memory: 17087 grad_norm: 6.6255 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9993 loss: 0.9993 2022/08/04 18:11:03 - mmengine - INFO - Epoch(train) [144][20/1879] lr: 1.0000e-04 eta: 1 day, 1:30:24 time: 0.5566 data_time: 0.1174 memory: 17087 grad_norm: 6.3788 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7757 loss: 0.7757 2022/08/04 18:11:12 - mmengine - INFO - Epoch(train) [144][40/1879] lr: 1.0000e-04 eta: 1 day, 1:30:15 time: 0.4295 data_time: 0.0166 memory: 17087 grad_norm: 6.6023 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8697 loss: 0.8697 2022/08/04 18:11:21 - mmengine - INFO - Epoch(train) [144][60/1879] lr: 1.0000e-04 eta: 1 day, 1:30:07 time: 0.4570 data_time: 0.0173 memory: 17087 grad_norm: 6.5599 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8330 loss: 0.8330 2022/08/04 18:11:29 - mmengine - INFO - Epoch(train) [144][80/1879] lr: 1.0000e-04 eta: 1 day, 1:29:58 time: 0.4292 data_time: 0.0163 memory: 17087 grad_norm: 6.4942 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.7829 loss: 0.7829 2022/08/04 18:11:38 - mmengine - INFO - Epoch(train) [144][100/1879] lr: 1.0000e-04 eta: 1 day, 1:29:49 time: 0.4333 data_time: 0.0157 memory: 17087 grad_norm: 6.6483 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8406 loss: 0.8406 2022/08/04 18:11:47 - mmengine - INFO - Epoch(train) [144][120/1879] lr: 1.0000e-04 eta: 1 day, 1:29:41 time: 0.4300 data_time: 0.0190 memory: 17087 grad_norm: 6.5496 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0016 loss: 1.0016 2022/08/04 18:11:55 - mmengine - INFO - Epoch(train) [144][140/1879] lr: 1.0000e-04 eta: 1 day, 1:29:32 time: 0.4314 data_time: 0.0158 memory: 17087 grad_norm: 6.7095 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9108 loss: 0.9108 2022/08/04 18:12:04 - mmengine - INFO - Epoch(train) [144][160/1879] lr: 1.0000e-04 eta: 1 day, 1:29:23 time: 0.4308 data_time: 0.0150 memory: 17087 grad_norm: 6.4824 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9526 loss: 0.9526 2022/08/04 18:12:13 - mmengine - INFO - Epoch(train) [144][180/1879] lr: 1.0000e-04 eta: 1 day, 1:29:15 time: 0.4295 data_time: 0.0133 memory: 17087 grad_norm: 6.3213 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9202 loss: 0.9202 2022/08/04 18:12:21 - mmengine - INFO - Epoch(train) [144][200/1879] lr: 1.0000e-04 eta: 1 day, 1:29:06 time: 0.4458 data_time: 0.0162 memory: 17087 grad_norm: 6.5825 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8896 loss: 0.8896 2022/08/04 18:12:30 - mmengine - INFO - Epoch(train) [144][220/1879] lr: 1.0000e-04 eta: 1 day, 1:28:57 time: 0.4364 data_time: 0.0214 memory: 17087 grad_norm: 6.4803 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9485 loss: 0.9485 2022/08/04 18:12:39 - mmengine - INFO - Epoch(train) [144][240/1879] lr: 1.0000e-04 eta: 1 day, 1:28:49 time: 0.4298 data_time: 0.0156 memory: 17087 grad_norm: 6.5238 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7837 loss: 0.7837 2022/08/04 18:12:48 - mmengine - INFO - Epoch(train) [144][260/1879] lr: 1.0000e-04 eta: 1 day, 1:28:40 time: 0.4322 data_time: 0.0158 memory: 17087 grad_norm: 6.6282 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0664 loss: 1.0664 2022/08/04 18:12:56 - mmengine - INFO - Epoch(train) [144][280/1879] lr: 1.0000e-04 eta: 1 day, 1:28:32 time: 0.4361 data_time: 0.0165 memory: 17087 grad_norm: 6.4335 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7483 loss: 0.7483 2022/08/04 18:13:05 - mmengine - INFO - Epoch(train) [144][300/1879] lr: 1.0000e-04 eta: 1 day, 1:28:23 time: 0.4509 data_time: 0.0157 memory: 17087 grad_norm: 6.6424 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.9889 loss: 0.9889 2022/08/04 18:13:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 18:13:14 - mmengine - INFO - Epoch(train) [144][320/1879] lr: 1.0000e-04 eta: 1 day, 1:28:14 time: 0.4271 data_time: 0.0154 memory: 17087 grad_norm: 6.6741 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8643 loss: 0.8643 2022/08/04 18:13:22 - mmengine - INFO - Epoch(train) [144][340/1879] lr: 1.0000e-04 eta: 1 day, 1:28:06 time: 0.4274 data_time: 0.0147 memory: 17087 grad_norm: 6.5756 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9975 loss: 0.9975 2022/08/04 18:13:32 - mmengine - INFO - Epoch(train) [144][360/1879] lr: 1.0000e-04 eta: 1 day, 1:27:58 time: 0.4616 data_time: 0.0171 memory: 17087 grad_norm: 6.6352 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0644 loss: 1.0644 2022/08/04 18:13:40 - mmengine - INFO - Epoch(train) [144][380/1879] lr: 1.0000e-04 eta: 1 day, 1:27:49 time: 0.4291 data_time: 0.0152 memory: 17087 grad_norm: 6.4725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9637 loss: 0.9637 2022/08/04 18:13:49 - mmengine - INFO - Epoch(train) [144][400/1879] lr: 1.0000e-04 eta: 1 day, 1:27:40 time: 0.4313 data_time: 0.0160 memory: 17087 grad_norm: 6.3738 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6593 loss: 0.6593 2022/08/04 18:13:57 - mmengine - INFO - Epoch(train) [144][420/1879] lr: 1.0000e-04 eta: 1 day, 1:27:31 time: 0.4286 data_time: 0.0154 memory: 17087 grad_norm: 6.4133 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7835 loss: 0.7835 2022/08/04 18:14:07 - mmengine - INFO - Epoch(train) [144][440/1879] lr: 1.0000e-04 eta: 1 day, 1:27:24 time: 0.4983 data_time: 0.0715 memory: 17087 grad_norm: 6.5452 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9133 loss: 0.9133 2022/08/04 18:14:16 - mmengine - INFO - Epoch(train) [144][460/1879] lr: 1.0000e-04 eta: 1 day, 1:27:15 time: 0.4304 data_time: 0.0123 memory: 17087 grad_norm: 6.8609 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8542 loss: 0.8542 2022/08/04 18:14:25 - mmengine - INFO - Epoch(train) [144][480/1879] lr: 1.0000e-04 eta: 1 day, 1:27:07 time: 0.4558 data_time: 0.0164 memory: 17087 grad_norm: 6.5678 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8365 loss: 0.8365 2022/08/04 18:14:34 - mmengine - INFO - Epoch(train) [144][500/1879] lr: 1.0000e-04 eta: 1 day, 1:26:58 time: 0.4281 data_time: 0.0149 memory: 17087 grad_norm: 6.4398 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8759 loss: 0.8759 2022/08/04 18:14:43 - mmengine - INFO - Epoch(train) [144][520/1879] lr: 1.0000e-04 eta: 1 day, 1:26:50 time: 0.4344 data_time: 0.0200 memory: 17087 grad_norm: 6.4992 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8205 loss: 0.8205 2022/08/04 18:14:51 - mmengine - INFO - Epoch(train) [144][540/1879] lr: 1.0000e-04 eta: 1 day, 1:26:41 time: 0.4278 data_time: 0.0154 memory: 17087 grad_norm: 6.3101 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7387 loss: 0.7387 2022/08/04 18:15:00 - mmengine - INFO - Epoch(train) [144][560/1879] lr: 1.0000e-04 eta: 1 day, 1:26:32 time: 0.4297 data_time: 0.0177 memory: 17087 grad_norm: 6.3483 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9196 loss: 0.9196 2022/08/04 18:15:09 - mmengine - INFO - Epoch(train) [144][580/1879] lr: 1.0000e-04 eta: 1 day, 1:26:24 time: 0.4650 data_time: 0.0180 memory: 17087 grad_norm: 6.4975 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9426 loss: 0.9426 2022/08/04 18:15:18 - mmengine - INFO - Epoch(train) [144][600/1879] lr: 1.0000e-04 eta: 1 day, 1:26:15 time: 0.4364 data_time: 0.0164 memory: 17087 grad_norm: 6.7024 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8148 loss: 0.8148 2022/08/04 18:15:27 - mmengine - INFO - Epoch(train) [144][620/1879] lr: 1.0000e-04 eta: 1 day, 1:26:07 time: 0.4614 data_time: 0.0170 memory: 17087 grad_norm: 6.5067 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7782 loss: 0.7782 2022/08/04 18:15:36 - mmengine - INFO - Epoch(train) [144][640/1879] lr: 1.0000e-04 eta: 1 day, 1:25:59 time: 0.4354 data_time: 0.0208 memory: 17087 grad_norm: 6.8851 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8766 loss: 0.8766 2022/08/04 18:15:44 - mmengine - INFO - Epoch(train) [144][660/1879] lr: 1.0000e-04 eta: 1 day, 1:25:50 time: 0.4318 data_time: 0.0145 memory: 17087 grad_norm: 6.4977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9188 loss: 0.9188 2022/08/04 18:15:53 - mmengine - INFO - Epoch(train) [144][680/1879] lr: 1.0000e-04 eta: 1 day, 1:25:41 time: 0.4301 data_time: 0.0154 memory: 17087 grad_norm: 6.4141 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9337 loss: 0.9337 2022/08/04 18:16:02 - mmengine - INFO - Epoch(train) [144][700/1879] lr: 1.0000e-04 eta: 1 day, 1:25:33 time: 0.4300 data_time: 0.0149 memory: 17087 grad_norm: 6.4149 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9515 loss: 0.9515 2022/08/04 18:16:11 - mmengine - INFO - Epoch(train) [144][720/1879] lr: 1.0000e-04 eta: 1 day, 1:25:24 time: 0.4627 data_time: 0.0169 memory: 17087 grad_norm: 6.6020 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8780 loss: 0.8780 2022/08/04 18:16:20 - mmengine - INFO - Epoch(train) [144][740/1879] lr: 1.0000e-04 eta: 1 day, 1:25:16 time: 0.4328 data_time: 0.0202 memory: 17087 grad_norm: 6.4255 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8791 loss: 0.8791 2022/08/04 18:16:29 - mmengine - INFO - Epoch(train) [144][760/1879] lr: 1.0000e-04 eta: 1 day, 1:25:07 time: 0.4536 data_time: 0.0161 memory: 17087 grad_norm: 6.6668 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8217 loss: 0.8217 2022/08/04 18:16:37 - mmengine - INFO - Epoch(train) [144][780/1879] lr: 1.0000e-04 eta: 1 day, 1:24:59 time: 0.4295 data_time: 0.0154 memory: 17087 grad_norm: 6.6012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0328 loss: 1.0328 2022/08/04 18:16:46 - mmengine - INFO - Epoch(train) [144][800/1879] lr: 1.0000e-04 eta: 1 day, 1:24:50 time: 0.4362 data_time: 0.0166 memory: 17087 grad_norm: 6.4050 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8516 loss: 0.8516 2022/08/04 18:16:55 - mmengine - INFO - Epoch(train) [144][820/1879] lr: 1.0000e-04 eta: 1 day, 1:24:41 time: 0.4317 data_time: 0.0149 memory: 17087 grad_norm: 6.4960 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8523 loss: 0.8523 2022/08/04 18:17:03 - mmengine - INFO - Epoch(train) [144][840/1879] lr: 1.0000e-04 eta: 1 day, 1:24:33 time: 0.4268 data_time: 0.0147 memory: 17087 grad_norm: 6.7580 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7760 loss: 0.7760 2022/08/04 18:17:12 - mmengine - INFO - Epoch(train) [144][860/1879] lr: 1.0000e-04 eta: 1 day, 1:24:24 time: 0.4452 data_time: 0.0156 memory: 17087 grad_norm: 6.5117 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7292 loss: 0.7292 2022/08/04 18:17:21 - mmengine - INFO - Epoch(train) [144][880/1879] lr: 1.0000e-04 eta: 1 day, 1:24:16 time: 0.4337 data_time: 0.0205 memory: 17087 grad_norm: 6.6619 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9512 loss: 0.9512 2022/08/04 18:17:29 - mmengine - INFO - Epoch(train) [144][900/1879] lr: 1.0000e-04 eta: 1 day, 1:24:07 time: 0.4324 data_time: 0.0157 memory: 17087 grad_norm: 6.3691 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8086 loss: 0.8086 2022/08/04 18:17:38 - mmengine - INFO - Epoch(train) [144][920/1879] lr: 1.0000e-04 eta: 1 day, 1:23:58 time: 0.4285 data_time: 0.0167 memory: 17087 grad_norm: 6.3419 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7224 loss: 0.7224 2022/08/04 18:17:47 - mmengine - INFO - Epoch(train) [144][940/1879] lr: 1.0000e-04 eta: 1 day, 1:23:50 time: 0.4524 data_time: 0.0164 memory: 17087 grad_norm: 6.6056 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0776 loss: 1.0776 2022/08/04 18:17:56 - mmengine - INFO - Epoch(train) [144][960/1879] lr: 1.0000e-04 eta: 1 day, 1:23:41 time: 0.4380 data_time: 0.0176 memory: 17087 grad_norm: 6.8130 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8949 loss: 0.8949 2022/08/04 18:18:05 - mmengine - INFO - Epoch(train) [144][980/1879] lr: 1.0000e-04 eta: 1 day, 1:23:33 time: 0.4334 data_time: 0.0153 memory: 17087 grad_norm: 6.4885 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9004 loss: 0.9004 2022/08/04 18:18:13 - mmengine - INFO - Epoch(train) [144][1000/1879] lr: 1.0000e-04 eta: 1 day, 1:23:24 time: 0.4342 data_time: 0.0177 memory: 17087 grad_norm: 6.4157 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8083 loss: 0.8083 2022/08/04 18:18:22 - mmengine - INFO - Epoch(train) [144][1020/1879] lr: 1.0000e-04 eta: 1 day, 1:23:15 time: 0.4294 data_time: 0.0151 memory: 17087 grad_norm: 6.4589 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8725 loss: 0.8725 2022/08/04 18:18:31 - mmengine - INFO - Epoch(train) [144][1040/1879] lr: 1.0000e-04 eta: 1 day, 1:23:07 time: 0.4645 data_time: 0.0180 memory: 17087 grad_norm: 6.6318 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9306 loss: 0.9306 2022/08/04 18:18:40 - mmengine - INFO - Epoch(train) [144][1060/1879] lr: 1.0000e-04 eta: 1 day, 1:22:59 time: 0.4290 data_time: 0.0153 memory: 17087 grad_norm: 6.6399 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7865 loss: 0.7865 2022/08/04 18:18:49 - mmengine - INFO - Epoch(train) [144][1080/1879] lr: 1.0000e-04 eta: 1 day, 1:22:50 time: 0.4644 data_time: 0.0174 memory: 17087 grad_norm: 6.6389 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7700 loss: 0.7700 2022/08/04 18:18:58 - mmengine - INFO - Epoch(train) [144][1100/1879] lr: 1.0000e-04 eta: 1 day, 1:22:42 time: 0.4346 data_time: 0.0185 memory: 17087 grad_norm: 6.7692 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9123 loss: 0.9123 2022/08/04 18:19:06 - mmengine - INFO - Epoch(train) [144][1120/1879] lr: 1.0000e-04 eta: 1 day, 1:22:33 time: 0.4281 data_time: 0.0156 memory: 17087 grad_norm: 6.4478 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.7776 loss: 0.7776 2022/08/04 18:19:16 - mmengine - INFO - Epoch(train) [144][1140/1879] lr: 1.0000e-04 eta: 1 day, 1:22:25 time: 0.4603 data_time: 0.0146 memory: 17087 grad_norm: 6.4824 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9132 loss: 0.9132 2022/08/04 18:19:24 - mmengine - INFO - Epoch(train) [144][1160/1879] lr: 1.0000e-04 eta: 1 day, 1:22:16 time: 0.4281 data_time: 0.0154 memory: 17087 grad_norm: 6.5166 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8771 loss: 0.8771 2022/08/04 18:19:33 - mmengine - INFO - Epoch(train) [144][1180/1879] lr: 1.0000e-04 eta: 1 day, 1:22:07 time: 0.4287 data_time: 0.0166 memory: 17087 grad_norm: 6.4753 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9191 loss: 0.9191 2022/08/04 18:19:42 - mmengine - INFO - Epoch(train) [144][1200/1879] lr: 1.0000e-04 eta: 1 day, 1:21:59 time: 0.4445 data_time: 0.0227 memory: 17087 grad_norm: 6.6108 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8581 loss: 0.8581 2022/08/04 18:19:50 - mmengine - INFO - Epoch(train) [144][1220/1879] lr: 1.0000e-04 eta: 1 day, 1:21:50 time: 0.4288 data_time: 0.0153 memory: 17087 grad_norm: 6.6155 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8034 loss: 0.8034 2022/08/04 18:20:00 - mmengine - INFO - Epoch(train) [144][1240/1879] lr: 1.0000e-04 eta: 1 day, 1:21:42 time: 0.4665 data_time: 0.0177 memory: 17087 grad_norm: 6.6360 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0969 loss: 1.0969 2022/08/04 18:20:08 - mmengine - INFO - Epoch(train) [144][1260/1879] lr: 1.0000e-04 eta: 1 day, 1:21:33 time: 0.4305 data_time: 0.0147 memory: 17087 grad_norm: 6.7282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9326 loss: 0.9326 2022/08/04 18:20:17 - mmengine - INFO - Epoch(train) [144][1280/1879] lr: 1.0000e-04 eta: 1 day, 1:21:25 time: 0.4361 data_time: 0.0199 memory: 17087 grad_norm: 6.5432 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7701 loss: 0.7701 2022/08/04 18:20:26 - mmengine - INFO - Epoch(train) [144][1300/1879] lr: 1.0000e-04 eta: 1 day, 1:21:16 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 6.6529 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7737 loss: 0.7737 2022/08/04 18:20:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 18:20:34 - mmengine - INFO - Epoch(train) [144][1320/1879] lr: 1.0000e-04 eta: 1 day, 1:21:07 time: 0.4269 data_time: 0.0150 memory: 17087 grad_norm: 6.8408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8468 loss: 0.8468 2022/08/04 18:20:43 - mmengine - INFO - Epoch(train) [144][1340/1879] lr: 1.0000e-04 eta: 1 day, 1:20:59 time: 0.4560 data_time: 0.0179 memory: 17087 grad_norm: 6.4013 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8315 loss: 0.8315 2022/08/04 18:20:52 - mmengine - INFO - Epoch(train) [144][1360/1879] lr: 1.0000e-04 eta: 1 day, 1:20:50 time: 0.4330 data_time: 0.0166 memory: 17087 grad_norm: 6.6718 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7652 loss: 0.7652 2022/08/04 18:21:01 - mmengine - INFO - Epoch(train) [144][1380/1879] lr: 1.0000e-04 eta: 1 day, 1:20:42 time: 0.4434 data_time: 0.0169 memory: 17087 grad_norm: 6.5472 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9278 loss: 0.9278 2022/08/04 18:21:10 - mmengine - INFO - Epoch(train) [144][1400/1879] lr: 1.0000e-04 eta: 1 day, 1:20:34 time: 0.4441 data_time: 0.0159 memory: 17087 grad_norm: 6.5213 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8946 loss: 0.8946 2022/08/04 18:21:19 - mmengine - INFO - Epoch(train) [144][1420/1879] lr: 1.0000e-04 eta: 1 day, 1:20:25 time: 0.4479 data_time: 0.0162 memory: 17087 grad_norm: 6.7494 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9817 loss: 0.9817 2022/08/04 18:21:28 - mmengine - INFO - Epoch(train) [144][1440/1879] lr: 1.0000e-04 eta: 1 day, 1:20:17 time: 0.4416 data_time: 0.0209 memory: 17087 grad_norm: 6.5864 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8632 loss: 0.8632 2022/08/04 18:21:36 - mmengine - INFO - Epoch(train) [144][1460/1879] lr: 1.0000e-04 eta: 1 day, 1:20:08 time: 0.4317 data_time: 0.0159 memory: 17087 grad_norm: 6.4863 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7653 loss: 0.7653 2022/08/04 18:21:45 - mmengine - INFO - Epoch(train) [144][1480/1879] lr: 1.0000e-04 eta: 1 day, 1:19:59 time: 0.4273 data_time: 0.0143 memory: 17087 grad_norm: 6.7282 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0331 loss: 1.0331 2022/08/04 18:21:53 - mmengine - INFO - Epoch(train) [144][1500/1879] lr: 1.0000e-04 eta: 1 day, 1:19:50 time: 0.4284 data_time: 0.0152 memory: 17087 grad_norm: 6.6418 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9758 loss: 0.9758 2022/08/04 18:22:02 - mmengine - INFO - Epoch(train) [144][1520/1879] lr: 1.0000e-04 eta: 1 day, 1:19:42 time: 0.4462 data_time: 0.0180 memory: 17087 grad_norm: 6.7535 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8319 loss: 0.8319 2022/08/04 18:22:11 - mmengine - INFO - Epoch(train) [144][1540/1879] lr: 1.0000e-04 eta: 1 day, 1:19:33 time: 0.4284 data_time: 0.0133 memory: 17087 grad_norm: 6.4900 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8534 loss: 0.8534 2022/08/04 18:22:20 - mmengine - INFO - Epoch(train) [144][1560/1879] lr: 1.0000e-04 eta: 1 day, 1:19:25 time: 0.4700 data_time: 0.0150 memory: 17087 grad_norm: 6.7628 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7571 loss: 0.7571 2022/08/04 18:22:29 - mmengine - INFO - Epoch(train) [144][1580/1879] lr: 1.0000e-04 eta: 1 day, 1:19:17 time: 0.4286 data_time: 0.0177 memory: 17087 grad_norm: 6.6351 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9399 loss: 0.9399 2022/08/04 18:22:38 - mmengine - INFO - Epoch(train) [144][1600/1879] lr: 1.0000e-04 eta: 1 day, 1:19:08 time: 0.4691 data_time: 0.0178 memory: 17087 grad_norm: 6.3069 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7326 loss: 0.7326 2022/08/04 18:22:47 - mmengine - INFO - Epoch(train) [144][1620/1879] lr: 1.0000e-04 eta: 1 day, 1:19:00 time: 0.4273 data_time: 0.0151 memory: 17087 grad_norm: 6.5652 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7791 loss: 0.7791 2022/08/04 18:22:56 - mmengine - INFO - Epoch(train) [144][1640/1879] lr: 1.0000e-04 eta: 1 day, 1:18:51 time: 0.4405 data_time: 0.0183 memory: 17087 grad_norm: 6.7116 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8678 loss: 0.8678 2022/08/04 18:23:04 - mmengine - INFO - Epoch(train) [144][1660/1879] lr: 1.0000e-04 eta: 1 day, 1:18:43 time: 0.4298 data_time: 0.0160 memory: 17087 grad_norm: 6.5045 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9333 loss: 0.9333 2022/08/04 18:23:13 - mmengine - INFO - Epoch(train) [144][1680/1879] lr: 1.0000e-04 eta: 1 day, 1:18:34 time: 0.4296 data_time: 0.0159 memory: 17087 grad_norm: 6.7693 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9302 loss: 0.9302 2022/08/04 18:23:22 - mmengine - INFO - Epoch(train) [144][1700/1879] lr: 1.0000e-04 eta: 1 day, 1:18:25 time: 0.4374 data_time: 0.0152 memory: 17087 grad_norm: 6.5945 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8623 loss: 0.8623 2022/08/04 18:23:30 - mmengine - INFO - Epoch(train) [144][1720/1879] lr: 1.0000e-04 eta: 1 day, 1:18:17 time: 0.4312 data_time: 0.0179 memory: 17087 grad_norm: 6.4810 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8631 loss: 0.8631 2022/08/04 18:23:39 - mmengine - INFO - Epoch(train) [144][1740/1879] lr: 1.0000e-04 eta: 1 day, 1:18:08 time: 0.4276 data_time: 0.0143 memory: 17087 grad_norm: 6.6115 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8740 loss: 0.8740 2022/08/04 18:23:48 - mmengine - INFO - Epoch(train) [144][1760/1879] lr: 1.0000e-04 eta: 1 day, 1:17:59 time: 0.4383 data_time: 0.0204 memory: 17087 grad_norm: 6.6851 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8662 loss: 0.8662 2022/08/04 18:23:57 - mmengine - INFO - Epoch(train) [144][1780/1879] lr: 1.0000e-04 eta: 1 day, 1:17:51 time: 0.4416 data_time: 0.0167 memory: 17087 grad_norm: 6.4352 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8229 loss: 0.8229 2022/08/04 18:24:05 - mmengine - INFO - Epoch(train) [144][1800/1879] lr: 1.0000e-04 eta: 1 day, 1:17:42 time: 0.4276 data_time: 0.0151 memory: 17087 grad_norm: 6.6137 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8745 loss: 0.8745 2022/08/04 18:24:14 - mmengine - INFO - Epoch(train) [144][1820/1879] lr: 1.0000e-04 eta: 1 day, 1:17:33 time: 0.4300 data_time: 0.0146 memory: 17087 grad_norm: 6.5115 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8982 loss: 0.8982 2022/08/04 18:24:22 - mmengine - INFO - Epoch(train) [144][1840/1879] lr: 1.0000e-04 eta: 1 day, 1:17:25 time: 0.4297 data_time: 0.0165 memory: 17087 grad_norm: 6.5956 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9086 loss: 0.9086 2022/08/04 18:24:31 - mmengine - INFO - Epoch(train) [144][1860/1879] lr: 1.0000e-04 eta: 1 day, 1:17:16 time: 0.4319 data_time: 0.0167 memory: 17087 grad_norm: 6.6736 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9303 loss: 0.9303 2022/08/04 18:24:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 18:24:39 - mmengine - INFO - Epoch(train) [144][1879/1879] lr: 1.0000e-04 eta: 1 day, 1:17:16 time: 0.4107 data_time: 0.0141 memory: 17087 grad_norm: 6.4672 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8718 loss: 0.8718 2022/08/04 18:24:39 - mmengine - INFO - Saving checkpoint at 144 epochs 2022/08/04 18:24:53 - mmengine - INFO - Epoch(train) [145][20/1879] lr: 1.0000e-04 eta: 1 day, 1:16:54 time: 0.5113 data_time: 0.0979 memory: 17087 grad_norm: 6.5418 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8594 loss: 0.8594 2022/08/04 18:25:01 - mmengine - INFO - Epoch(train) [145][40/1879] lr: 1.0000e-04 eta: 1 day, 1:16:45 time: 0.4324 data_time: 0.0155 memory: 17087 grad_norm: 6.7655 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7797 loss: 0.7797 2022/08/04 18:25:10 - mmengine - INFO - Epoch(train) [145][60/1879] lr: 1.0000e-04 eta: 1 day, 1:16:37 time: 0.4291 data_time: 0.0152 memory: 17087 grad_norm: 6.7249 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9678 loss: 0.9678 2022/08/04 18:25:19 - mmengine - INFO - Epoch(train) [145][80/1879] lr: 1.0000e-04 eta: 1 day, 1:16:28 time: 0.4313 data_time: 0.0162 memory: 17087 grad_norm: 6.4573 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0099 loss: 1.0099 2022/08/04 18:25:27 - mmengine - INFO - Epoch(train) [145][100/1879] lr: 1.0000e-04 eta: 1 day, 1:16:19 time: 0.4303 data_time: 0.0143 memory: 17087 grad_norm: 6.5304 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7626 loss: 0.7626 2022/08/04 18:25:36 - mmengine - INFO - Epoch(train) [145][120/1879] lr: 1.0000e-04 eta: 1 day, 1:16:11 time: 0.4358 data_time: 0.0170 memory: 17087 grad_norm: 6.6929 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0014 loss: 1.0014 2022/08/04 18:25:45 - mmengine - INFO - Epoch(train) [145][140/1879] lr: 1.0000e-04 eta: 1 day, 1:16:02 time: 0.4270 data_time: 0.0145 memory: 17087 grad_norm: 6.4791 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9574 loss: 0.9574 2022/08/04 18:25:53 - mmengine - INFO - Epoch(train) [145][160/1879] lr: 1.0000e-04 eta: 1 day, 1:15:53 time: 0.4296 data_time: 0.0152 memory: 17087 grad_norm: 6.6777 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9714 loss: 0.9714 2022/08/04 18:26:02 - mmengine - INFO - Epoch(train) [145][180/1879] lr: 1.0000e-04 eta: 1 day, 1:15:45 time: 0.4395 data_time: 0.0160 memory: 17087 grad_norm: 6.6241 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7881 loss: 0.7881 2022/08/04 18:26:11 - mmengine - INFO - Epoch(train) [145][200/1879] lr: 1.0000e-04 eta: 1 day, 1:15:36 time: 0.4283 data_time: 0.0159 memory: 17087 grad_norm: 6.5854 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9053 loss: 0.9053 2022/08/04 18:26:19 - mmengine - INFO - Epoch(train) [145][220/1879] lr: 1.0000e-04 eta: 1 day, 1:15:27 time: 0.4292 data_time: 0.0148 memory: 17087 grad_norm: 6.2994 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7972 loss: 0.7972 2022/08/04 18:26:28 - mmengine - INFO - Epoch(train) [145][240/1879] lr: 1.0000e-04 eta: 1 day, 1:15:19 time: 0.4429 data_time: 0.0228 memory: 17087 grad_norm: 6.4316 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7255 loss: 0.7255 2022/08/04 18:26:37 - mmengine - INFO - Epoch(train) [145][260/1879] lr: 1.0000e-04 eta: 1 day, 1:15:10 time: 0.4293 data_time: 0.0155 memory: 17087 grad_norm: 6.6941 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8529 loss: 0.8529 2022/08/04 18:26:45 - mmengine - INFO - Epoch(train) [145][280/1879] lr: 1.0000e-04 eta: 1 day, 1:15:01 time: 0.4341 data_time: 0.0160 memory: 17087 grad_norm: 6.5885 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9492 loss: 0.9492 2022/08/04 18:26:54 - mmengine - INFO - Epoch(train) [145][300/1879] lr: 1.0000e-04 eta: 1 day, 1:14:53 time: 0.4357 data_time: 0.0161 memory: 17087 grad_norm: 6.6771 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8728 loss: 0.8728 2022/08/04 18:27:03 - mmengine - INFO - Epoch(train) [145][320/1879] lr: 1.0000e-04 eta: 1 day, 1:14:44 time: 0.4297 data_time: 0.0161 memory: 17087 grad_norm: 6.5868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7223 loss: 0.7223 2022/08/04 18:27:11 - mmengine - INFO - Epoch(train) [145][340/1879] lr: 1.0000e-04 eta: 1 day, 1:14:36 time: 0.4382 data_time: 0.0170 memory: 17087 grad_norm: 6.7718 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0710 loss: 1.0710 2022/08/04 18:27:20 - mmengine - INFO - Epoch(train) [145][360/1879] lr: 1.0000e-04 eta: 1 day, 1:14:27 time: 0.4313 data_time: 0.0178 memory: 17087 grad_norm: 6.6949 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6923 loss: 0.6923 2022/08/04 18:27:29 - mmengine - INFO - Epoch(train) [145][380/1879] lr: 1.0000e-04 eta: 1 day, 1:14:18 time: 0.4266 data_time: 0.0135 memory: 17087 grad_norm: 6.5777 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9400 loss: 0.9400 2022/08/04 18:27:38 - mmengine - INFO - Epoch(train) [145][400/1879] lr: 1.0000e-04 eta: 1 day, 1:14:10 time: 0.4648 data_time: 0.0172 memory: 17087 grad_norm: 6.2340 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9244 loss: 0.9244 2022/08/04 18:27:47 - mmengine - INFO - Epoch(train) [145][420/1879] lr: 1.0000e-04 eta: 1 day, 1:14:01 time: 0.4288 data_time: 0.0168 memory: 17087 grad_norm: 6.5712 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9754 loss: 0.9754 2022/08/04 18:27:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 18:27:55 - mmengine - INFO - Epoch(train) [145][440/1879] lr: 1.0000e-04 eta: 1 day, 1:13:53 time: 0.4328 data_time: 0.0198 memory: 17087 grad_norm: 6.8510 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8922 loss: 0.8922 2022/08/04 18:28:04 - mmengine - INFO - Epoch(train) [145][460/1879] lr: 1.0000e-04 eta: 1 day, 1:13:44 time: 0.4432 data_time: 0.0199 memory: 17087 grad_norm: 6.5590 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6974 loss: 0.6974 2022/08/04 18:28:13 - mmengine - INFO - Epoch(train) [145][480/1879] lr: 1.0000e-04 eta: 1 day, 1:13:36 time: 0.4311 data_time: 0.0162 memory: 17087 grad_norm: 6.7213 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9704 loss: 0.9704 2022/08/04 18:28:22 - mmengine - INFO - Epoch(train) [145][500/1879] lr: 1.0000e-04 eta: 1 day, 1:13:27 time: 0.4609 data_time: 0.0164 memory: 17087 grad_norm: 6.6616 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8560 loss: 0.8560 2022/08/04 18:28:31 - mmengine - INFO - Epoch(train) [145][520/1879] lr: 1.0000e-04 eta: 1 day, 1:13:19 time: 0.4303 data_time: 0.0169 memory: 17087 grad_norm: 6.4596 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8433 loss: 0.8433 2022/08/04 18:28:39 - mmengine - INFO - Epoch(train) [145][540/1879] lr: 1.0000e-04 eta: 1 day, 1:13:10 time: 0.4418 data_time: 0.0181 memory: 17087 grad_norm: 6.4598 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7566 loss: 0.7566 2022/08/04 18:28:48 - mmengine - INFO - Epoch(train) [145][560/1879] lr: 1.0000e-04 eta: 1 day, 1:13:01 time: 0.4285 data_time: 0.0154 memory: 17087 grad_norm: 6.7274 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9583 loss: 0.9583 2022/08/04 18:28:57 - mmengine - INFO - Epoch(train) [145][580/1879] lr: 1.0000e-04 eta: 1 day, 1:12:53 time: 0.4396 data_time: 0.0128 memory: 17087 grad_norm: 6.5271 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8996 loss: 0.8996 2022/08/04 18:29:05 - mmengine - INFO - Epoch(train) [145][600/1879] lr: 1.0000e-04 eta: 1 day, 1:12:44 time: 0.4298 data_time: 0.0162 memory: 17087 grad_norm: 6.4349 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8837 loss: 0.8837 2022/08/04 18:29:14 - mmengine - INFO - Epoch(train) [145][620/1879] lr: 1.0000e-04 eta: 1 day, 1:12:35 time: 0.4283 data_time: 0.0158 memory: 17087 grad_norm: 6.3293 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7596 loss: 0.7596 2022/08/04 18:29:23 - mmengine - INFO - Epoch(train) [145][640/1879] lr: 1.0000e-04 eta: 1 day, 1:12:27 time: 0.4383 data_time: 0.0153 memory: 17087 grad_norm: 6.8439 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9461 loss: 0.9461 2022/08/04 18:29:31 - mmengine - INFO - Epoch(train) [145][660/1879] lr: 1.0000e-04 eta: 1 day, 1:12:18 time: 0.4307 data_time: 0.0169 memory: 17087 grad_norm: 6.4044 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8699 loss: 0.8699 2022/08/04 18:29:41 - mmengine - INFO - Epoch(train) [145][680/1879] lr: 1.0000e-04 eta: 1 day, 1:12:10 time: 0.4540 data_time: 0.0175 memory: 17087 grad_norm: 6.6516 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9191 loss: 0.9191 2022/08/04 18:29:49 - mmengine - INFO - Epoch(train) [145][700/1879] lr: 1.0000e-04 eta: 1 day, 1:12:01 time: 0.4290 data_time: 0.0150 memory: 17087 grad_norm: 6.4873 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7997 loss: 0.7997 2022/08/04 18:29:58 - mmengine - INFO - Epoch(train) [145][720/1879] lr: 1.0000e-04 eta: 1 day, 1:11:53 time: 0.4337 data_time: 0.0154 memory: 17087 grad_norm: 6.5723 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9694 loss: 0.9694 2022/08/04 18:30:06 - mmengine - INFO - Epoch(train) [145][740/1879] lr: 1.0000e-04 eta: 1 day, 1:11:44 time: 0.4279 data_time: 0.0142 memory: 17087 grad_norm: 6.4785 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9097 loss: 0.9097 2022/08/04 18:30:15 - mmengine - INFO - Epoch(train) [145][760/1879] lr: 1.0000e-04 eta: 1 day, 1:11:35 time: 0.4287 data_time: 0.0161 memory: 17087 grad_norm: 6.4046 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7514 loss: 0.7514 2022/08/04 18:30:24 - mmengine - INFO - Epoch(train) [145][780/1879] lr: 1.0000e-04 eta: 1 day, 1:11:27 time: 0.4352 data_time: 0.0154 memory: 17087 grad_norm: 6.6797 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8197 loss: 0.8197 2022/08/04 18:30:32 - mmengine - INFO - Epoch(train) [145][800/1879] lr: 1.0000e-04 eta: 1 day, 1:11:18 time: 0.4291 data_time: 0.0168 memory: 17087 grad_norm: 6.7284 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8331 loss: 0.8331 2022/08/04 18:30:41 - mmengine - INFO - Epoch(train) [145][820/1879] lr: 1.0000e-04 eta: 1 day, 1:11:09 time: 0.4372 data_time: 0.0127 memory: 17087 grad_norm: 6.7670 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0072 loss: 1.0072 2022/08/04 18:30:50 - mmengine - INFO - Epoch(train) [145][840/1879] lr: 1.0000e-04 eta: 1 day, 1:11:01 time: 0.4293 data_time: 0.0163 memory: 17087 grad_norm: 6.7881 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9100 loss: 0.9100 2022/08/04 18:30:59 - mmengine - INFO - Epoch(train) [145][860/1879] lr: 1.0000e-04 eta: 1 day, 1:10:52 time: 0.4584 data_time: 0.0153 memory: 17087 grad_norm: 6.3655 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7167 loss: 0.7167 2022/08/04 18:31:08 - mmengine - INFO - Epoch(train) [145][880/1879] lr: 1.0000e-04 eta: 1 day, 1:10:44 time: 0.4298 data_time: 0.0163 memory: 17087 grad_norm: 6.6160 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7549 loss: 0.7549 2022/08/04 18:31:17 - mmengine - INFO - Epoch(train) [145][900/1879] lr: 1.0000e-04 eta: 1 day, 1:10:35 time: 0.4533 data_time: 0.0173 memory: 17087 grad_norm: 6.5919 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9879 loss: 0.9879 2022/08/04 18:31:25 - mmengine - INFO - Epoch(train) [145][920/1879] lr: 1.0000e-04 eta: 1 day, 1:10:27 time: 0.4310 data_time: 0.0165 memory: 17087 grad_norm: 6.8017 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8492 loss: 0.8492 2022/08/04 18:31:34 - mmengine - INFO - Epoch(train) [145][940/1879] lr: 1.0000e-04 eta: 1 day, 1:10:18 time: 0.4278 data_time: 0.0129 memory: 17087 grad_norm: 6.5510 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8395 loss: 0.8395 2022/08/04 18:31:43 - mmengine - INFO - Epoch(train) [145][960/1879] lr: 1.0000e-04 eta: 1 day, 1:10:09 time: 0.4479 data_time: 0.0156 memory: 17087 grad_norm: 6.6934 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8951 loss: 0.8951 2022/08/04 18:31:51 - mmengine - INFO - Epoch(train) [145][980/1879] lr: 1.0000e-04 eta: 1 day, 1:10:01 time: 0.4269 data_time: 0.0146 memory: 17087 grad_norm: 6.4581 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9681 loss: 0.9681 2022/08/04 18:32:00 - mmengine - INFO - Epoch(train) [145][1000/1879] lr: 1.0000e-04 eta: 1 day, 1:09:52 time: 0.4301 data_time: 0.0184 memory: 17087 grad_norm: 6.4233 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9999 loss: 0.9999 2022/08/04 18:32:09 - mmengine - INFO - Epoch(train) [145][1020/1879] lr: 1.0000e-04 eta: 1 day, 1:09:43 time: 0.4280 data_time: 0.0150 memory: 17087 grad_norm: 6.1950 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9618 loss: 0.9618 2022/08/04 18:32:18 - mmengine - INFO - Epoch(train) [145][1040/1879] lr: 1.0000e-04 eta: 1 day, 1:09:35 time: 0.4844 data_time: 0.0186 memory: 17087 grad_norm: 6.4518 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6983 loss: 0.6983 2022/08/04 18:32:27 - mmengine - INFO - Epoch(train) [145][1060/1879] lr: 1.0000e-04 eta: 1 day, 1:09:27 time: 0.4289 data_time: 0.0155 memory: 17087 grad_norm: 6.7637 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8114 loss: 0.8114 2022/08/04 18:32:35 - mmengine - INFO - Epoch(train) [145][1080/1879] lr: 1.0000e-04 eta: 1 day, 1:09:18 time: 0.4295 data_time: 0.0164 memory: 17087 grad_norm: 6.6127 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8625 loss: 0.8625 2022/08/04 18:32:44 - mmengine - INFO - Epoch(train) [145][1100/1879] lr: 1.0000e-04 eta: 1 day, 1:09:10 time: 0.4399 data_time: 0.0163 memory: 17087 grad_norm: 6.6391 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8445 loss: 0.8445 2022/08/04 18:32:53 - mmengine - INFO - Epoch(train) [145][1120/1879] lr: 1.0000e-04 eta: 1 day, 1:09:01 time: 0.4323 data_time: 0.0209 memory: 17087 grad_norm: 6.4645 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8998 loss: 0.8998 2022/08/04 18:33:02 - mmengine - INFO - Epoch(train) [145][1140/1879] lr: 1.0000e-04 eta: 1 day, 1:08:53 time: 0.4536 data_time: 0.0172 memory: 17087 grad_norm: 6.7192 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9422 loss: 0.9422 2022/08/04 18:33:11 - mmengine - INFO - Epoch(train) [145][1160/1879] lr: 1.0000e-04 eta: 1 day, 1:08:44 time: 0.4316 data_time: 0.0170 memory: 17087 grad_norm: 6.5796 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7967 loss: 0.7967 2022/08/04 18:33:19 - mmengine - INFO - Epoch(train) [145][1180/1879] lr: 1.0000e-04 eta: 1 day, 1:08:35 time: 0.4388 data_time: 0.0158 memory: 17087 grad_norm: 6.3183 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8698 loss: 0.8698 2022/08/04 18:33:28 - mmengine - INFO - Epoch(train) [145][1200/1879] lr: 1.0000e-04 eta: 1 day, 1:08:27 time: 0.4342 data_time: 0.0176 memory: 17087 grad_norm: 6.3161 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8004 loss: 0.8004 2022/08/04 18:33:37 - mmengine - INFO - Epoch(train) [145][1220/1879] lr: 1.0000e-04 eta: 1 day, 1:08:18 time: 0.4357 data_time: 0.0139 memory: 17087 grad_norm: 6.6390 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9567 loss: 0.9567 2022/08/04 18:33:46 - mmengine - INFO - Epoch(train) [145][1240/1879] lr: 1.0000e-04 eta: 1 day, 1:08:09 time: 0.4307 data_time: 0.0163 memory: 17087 grad_norm: 6.5261 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8353 loss: 0.8353 2022/08/04 18:33:54 - mmengine - INFO - Epoch(train) [145][1260/1879] lr: 1.0000e-04 eta: 1 day, 1:08:01 time: 0.4280 data_time: 0.0132 memory: 17087 grad_norm: 6.4725 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8196 loss: 0.8196 2022/08/04 18:34:03 - mmengine - INFO - Epoch(train) [145][1280/1879] lr: 1.0000e-04 eta: 1 day, 1:07:52 time: 0.4570 data_time: 0.0151 memory: 17087 grad_norm: 6.5753 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0019 loss: 1.0019 2022/08/04 18:34:12 - mmengine - INFO - Epoch(train) [145][1300/1879] lr: 1.0000e-04 eta: 1 day, 1:07:44 time: 0.4271 data_time: 0.0149 memory: 17087 grad_norm: 6.5094 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8796 loss: 0.8796 2022/08/04 18:34:21 - mmengine - INFO - Epoch(train) [145][1320/1879] lr: 1.0000e-04 eta: 1 day, 1:07:35 time: 0.4348 data_time: 0.0149 memory: 17087 grad_norm: 6.5447 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9508 loss: 0.9508 2022/08/04 18:34:29 - mmengine - INFO - Epoch(train) [145][1340/1879] lr: 1.0000e-04 eta: 1 day, 1:07:26 time: 0.4300 data_time: 0.0156 memory: 17087 grad_norm: 6.5379 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7972 loss: 0.7972 2022/08/04 18:34:38 - mmengine - INFO - Epoch(train) [145][1360/1879] lr: 1.0000e-04 eta: 1 day, 1:07:18 time: 0.4595 data_time: 0.0162 memory: 17087 grad_norm: 6.5728 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8158 loss: 0.8158 2022/08/04 18:34:47 - mmengine - INFO - Epoch(train) [145][1380/1879] lr: 1.0000e-04 eta: 1 day, 1:07:10 time: 0.4340 data_time: 0.0157 memory: 17087 grad_norm: 6.5619 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9318 loss: 0.9318 2022/08/04 18:34:56 - mmengine - INFO - Epoch(train) [145][1400/1879] lr: 1.0000e-04 eta: 1 day, 1:07:01 time: 0.4314 data_time: 0.0157 memory: 17087 grad_norm: 6.4427 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7615 loss: 0.7615 2022/08/04 18:35:05 - mmengine - INFO - Epoch(train) [145][1420/1879] lr: 1.0000e-04 eta: 1 day, 1:06:52 time: 0.4478 data_time: 0.0142 memory: 17087 grad_norm: 6.7648 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8601 loss: 0.8601 2022/08/04 18:35:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 18:35:13 - mmengine - INFO - Epoch(train) [145][1440/1879] lr: 1.0000e-04 eta: 1 day, 1:06:44 time: 0.4302 data_time: 0.0162 memory: 17087 grad_norm: 6.4483 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8123 loss: 0.8123 2022/08/04 18:35:22 - mmengine - INFO - Epoch(train) [145][1460/1879] lr: 1.0000e-04 eta: 1 day, 1:06:35 time: 0.4404 data_time: 0.0155 memory: 17087 grad_norm: 6.8941 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9693 loss: 0.9693 2022/08/04 18:35:31 - mmengine - INFO - Epoch(train) [145][1480/1879] lr: 1.0000e-04 eta: 1 day, 1:06:27 time: 0.4353 data_time: 0.0183 memory: 17087 grad_norm: 6.5889 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8403 loss: 0.8403 2022/08/04 18:35:40 - mmengine - INFO - Epoch(train) [145][1500/1879] lr: 1.0000e-04 eta: 1 day, 1:06:18 time: 0.4489 data_time: 0.0146 memory: 17087 grad_norm: 6.6685 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9337 loss: 0.9337 2022/08/04 18:35:49 - mmengine - INFO - Epoch(train) [145][1520/1879] lr: 1.0000e-04 eta: 1 day, 1:06:10 time: 0.4339 data_time: 0.0172 memory: 17087 grad_norm: 6.7068 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8478 loss: 0.8478 2022/08/04 18:35:57 - mmengine - INFO - Epoch(train) [145][1540/1879] lr: 1.0000e-04 eta: 1 day, 1:06:01 time: 0.4299 data_time: 0.0155 memory: 17087 grad_norm: 6.6143 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8960 loss: 0.8960 2022/08/04 18:36:06 - mmengine - INFO - Epoch(train) [145][1560/1879] lr: 1.0000e-04 eta: 1 day, 1:05:52 time: 0.4289 data_time: 0.0166 memory: 17087 grad_norm: 6.6137 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9088 loss: 0.9088 2022/08/04 18:36:15 - mmengine - INFO - Epoch(train) [145][1580/1879] lr: 1.0000e-04 eta: 1 day, 1:05:44 time: 0.4450 data_time: 0.0171 memory: 17087 grad_norm: 6.8007 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7941 loss: 0.7941 2022/08/04 18:36:23 - mmengine - INFO - Epoch(train) [145][1600/1879] lr: 1.0000e-04 eta: 1 day, 1:05:35 time: 0.4332 data_time: 0.0157 memory: 17087 grad_norm: 6.4959 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8668 loss: 0.8668 2022/08/04 18:36:32 - mmengine - INFO - Epoch(train) [145][1620/1879] lr: 1.0000e-04 eta: 1 day, 1:05:26 time: 0.4344 data_time: 0.0183 memory: 17087 grad_norm: 6.6846 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9088 loss: 0.9088 2022/08/04 18:36:41 - mmengine - INFO - Epoch(train) [145][1640/1879] lr: 1.0000e-04 eta: 1 day, 1:05:18 time: 0.4292 data_time: 0.0159 memory: 17087 grad_norm: 6.5418 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8640 loss: 0.8640 2022/08/04 18:36:50 - mmengine - INFO - Epoch(train) [145][1660/1879] lr: 1.0000e-04 eta: 1 day, 1:05:09 time: 0.4498 data_time: 0.0163 memory: 17087 grad_norm: 6.4923 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7517 loss: 0.7517 2022/08/04 18:36:58 - mmengine - INFO - Epoch(train) [145][1680/1879] lr: 1.0000e-04 eta: 1 day, 1:05:01 time: 0.4294 data_time: 0.0163 memory: 17087 grad_norm: 6.2188 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7882 loss: 0.7882 2022/08/04 18:37:07 - mmengine - INFO - Epoch(train) [145][1700/1879] lr: 1.0000e-04 eta: 1 day, 1:04:52 time: 0.4304 data_time: 0.0163 memory: 17087 grad_norm: 6.7014 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9093 loss: 0.9093 2022/08/04 18:37:15 - mmengine - INFO - Epoch(train) [145][1720/1879] lr: 1.0000e-04 eta: 1 day, 1:04:43 time: 0.4308 data_time: 0.0162 memory: 17087 grad_norm: 6.5179 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9276 loss: 0.9276 2022/08/04 18:37:24 - mmengine - INFO - Epoch(train) [145][1740/1879] lr: 1.0000e-04 eta: 1 day, 1:04:35 time: 0.4279 data_time: 0.0137 memory: 17087 grad_norm: 6.2941 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8810 loss: 0.8810 2022/08/04 18:37:33 - mmengine - INFO - Epoch(train) [145][1760/1879] lr: 1.0000e-04 eta: 1 day, 1:04:26 time: 0.4485 data_time: 0.0169 memory: 17087 grad_norm: 6.4649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9614 loss: 0.9614 2022/08/04 18:37:42 - mmengine - INFO - Epoch(train) [145][1780/1879] lr: 1.0000e-04 eta: 1 day, 1:04:17 time: 0.4266 data_time: 0.0137 memory: 17087 grad_norm: 6.6587 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7629 loss: 0.7629 2022/08/04 18:37:51 - mmengine - INFO - Epoch(train) [145][1800/1879] lr: 1.0000e-04 eta: 1 day, 1:04:09 time: 0.4612 data_time: 0.0172 memory: 17087 grad_norm: 6.4682 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9601 loss: 0.9601 2022/08/04 18:37:59 - mmengine - INFO - Epoch(train) [145][1820/1879] lr: 1.0000e-04 eta: 1 day, 1:04:01 time: 0.4305 data_time: 0.0150 memory: 17087 grad_norm: 6.6903 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9525 loss: 0.9525 2022/08/04 18:38:09 - mmengine - INFO - Epoch(train) [145][1840/1879] lr: 1.0000e-04 eta: 1 day, 1:03:52 time: 0.4603 data_time: 0.0174 memory: 17087 grad_norm: 6.5760 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8285 loss: 0.8285 2022/08/04 18:38:17 - mmengine - INFO - Epoch(train) [145][1860/1879] lr: 1.0000e-04 eta: 1 day, 1:03:44 time: 0.4298 data_time: 0.0148 memory: 17087 grad_norm: 6.5302 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8347 loss: 0.8347 2022/08/04 18:38:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 18:38:25 - mmengine - INFO - Epoch(train) [145][1879/1879] lr: 1.0000e-04 eta: 1 day, 1:03:44 time: 0.4083 data_time: 0.0147 memory: 17087 grad_norm: 6.6881 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9282 loss: 0.9282 2022/08/04 18:38:33 - mmengine - INFO - Epoch(val) [145][20/155] eta: 0:00:51 time: 0.3790 data_time: 0.2076 memory: 2821 2022/08/04 18:38:38 - mmengine - INFO - Epoch(val) [145][40/155] eta: 0:00:27 time: 0.2423 data_time: 0.0759 memory: 2821 2022/08/04 18:38:44 - mmengine - INFO - Epoch(val) [145][60/155] eta: 0:00:29 time: 0.3147 data_time: 0.1474 memory: 2821 2022/08/04 18:38:49 - mmengine - INFO - Epoch(val) [145][80/155] eta: 0:00:19 time: 0.2570 data_time: 0.0869 memory: 2821 2022/08/04 18:38:56 - mmengine - INFO - Epoch(val) [145][100/155] eta: 0:00:17 time: 0.3240 data_time: 0.1582 memory: 2821 2022/08/04 18:39:01 - mmengine - INFO - Epoch(val) [145][120/155] eta: 0:00:08 time: 0.2496 data_time: 0.0836 memory: 2821 2022/08/04 18:39:07 - mmengine - INFO - Epoch(val) [145][140/155] eta: 0:00:04 time: 0.3276 data_time: 0.1603 memory: 2821 2022/08/04 18:39:12 - mmengine - INFO - Epoch(val) [145][155/155] acc/top1: 0.6981 acc/top5: 0.8831 acc/mean1: 0.6980 2022/08/04 18:39:23 - mmengine - INFO - Epoch(train) [146][20/1879] lr: 1.0000e-04 eta: 1 day, 1:03:22 time: 0.5569 data_time: 0.1312 memory: 17087 grad_norm: 6.4993 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8093 loss: 0.8093 2022/08/04 18:39:32 - mmengine - INFO - Epoch(train) [146][40/1879] lr: 1.0000e-04 eta: 1 day, 1:03:14 time: 0.4417 data_time: 0.0183 memory: 17087 grad_norm: 6.6388 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9936 loss: 0.9936 2022/08/04 18:39:41 - mmengine - INFO - Epoch(train) [146][60/1879] lr: 1.0000e-04 eta: 1 day, 1:03:05 time: 0.4280 data_time: 0.0150 memory: 17087 grad_norm: 6.6306 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7740 loss: 0.7740 2022/08/04 18:39:50 - mmengine - INFO - Epoch(train) [146][80/1879] lr: 1.0000e-04 eta: 1 day, 1:02:57 time: 0.4411 data_time: 0.0222 memory: 17087 grad_norm: 6.6249 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8834 loss: 0.8834 2022/08/04 18:40:00 - mmengine - INFO - Epoch(train) [146][100/1879] lr: 1.0000e-04 eta: 1 day, 1:02:49 time: 0.5096 data_time: 0.0160 memory: 17087 grad_norm: 6.5673 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8668 loss: 0.8668 2022/08/04 18:40:09 - mmengine - INFO - Epoch(train) [146][120/1879] lr: 1.0000e-04 eta: 1 day, 1:02:41 time: 0.4324 data_time: 0.0155 memory: 17087 grad_norm: 6.5808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8711 loss: 0.8711 2022/08/04 18:40:17 - mmengine - INFO - Epoch(train) [146][140/1879] lr: 1.0000e-04 eta: 1 day, 1:02:32 time: 0.4392 data_time: 0.0180 memory: 17087 grad_norm: 6.5948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0318 loss: 1.0318 2022/08/04 18:40:26 - mmengine - INFO - Epoch(train) [146][160/1879] lr: 1.0000e-04 eta: 1 day, 1:02:23 time: 0.4279 data_time: 0.0146 memory: 17087 grad_norm: 6.4069 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8285 loss: 0.8285 2022/08/04 18:40:35 - mmengine - INFO - Epoch(train) [146][180/1879] lr: 1.0000e-04 eta: 1 day, 1:02:15 time: 0.4345 data_time: 0.0141 memory: 17087 grad_norm: 6.7074 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9381 loss: 0.9381 2022/08/04 18:40:44 - mmengine - INFO - Epoch(train) [146][200/1879] lr: 1.0000e-04 eta: 1 day, 1:02:06 time: 0.4443 data_time: 0.0181 memory: 17087 grad_norm: 6.4385 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9875 loss: 0.9875 2022/08/04 18:40:52 - mmengine - INFO - Epoch(train) [146][220/1879] lr: 1.0000e-04 eta: 1 day, 1:01:57 time: 0.4290 data_time: 0.0147 memory: 17087 grad_norm: 6.4672 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8042 loss: 0.8042 2022/08/04 18:41:01 - mmengine - INFO - Epoch(train) [146][240/1879] lr: 1.0000e-04 eta: 1 day, 1:01:49 time: 0.4564 data_time: 0.0171 memory: 17087 grad_norm: 6.5886 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0201 loss: 1.0201 2022/08/04 18:41:10 - mmengine - INFO - Epoch(train) [146][260/1879] lr: 1.0000e-04 eta: 1 day, 1:01:40 time: 0.4314 data_time: 0.0148 memory: 17087 grad_norm: 6.4693 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8178 loss: 0.8178 2022/08/04 18:41:19 - mmengine - INFO - Epoch(train) [146][280/1879] lr: 1.0000e-04 eta: 1 day, 1:01:32 time: 0.4547 data_time: 0.0232 memory: 17087 grad_norm: 6.8465 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9647 loss: 0.9647 2022/08/04 18:41:28 - mmengine - INFO - Epoch(train) [146][300/1879] lr: 1.0000e-04 eta: 1 day, 1:01:24 time: 0.4333 data_time: 0.0152 memory: 17087 grad_norm: 6.2399 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7148 loss: 0.7148 2022/08/04 18:41:36 - mmengine - INFO - Epoch(train) [146][320/1879] lr: 1.0000e-04 eta: 1 day, 1:01:15 time: 0.4356 data_time: 0.0224 memory: 17087 grad_norm: 6.6198 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8085 loss: 0.8085 2022/08/04 18:41:45 - mmengine - INFO - Epoch(train) [146][340/1879] lr: 1.0000e-04 eta: 1 day, 1:01:06 time: 0.4403 data_time: 0.0170 memory: 17087 grad_norm: 6.6808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7876 loss: 0.7876 2022/08/04 18:41:54 - mmengine - INFO - Epoch(train) [146][360/1879] lr: 1.0000e-04 eta: 1 day, 1:00:58 time: 0.4407 data_time: 0.0175 memory: 17087 grad_norm: 6.4064 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8708 loss: 0.8708 2022/08/04 18:42:03 - mmengine - INFO - Epoch(train) [146][380/1879] lr: 1.0000e-04 eta: 1 day, 1:00:50 time: 0.4517 data_time: 0.0165 memory: 17087 grad_norm: 6.4811 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8197 loss: 0.8197 2022/08/04 18:42:12 - mmengine - INFO - Epoch(train) [146][400/1879] lr: 1.0000e-04 eta: 1 day, 1:00:41 time: 0.4345 data_time: 0.0156 memory: 17087 grad_norm: 6.6234 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8337 loss: 0.8337 2022/08/04 18:42:21 - mmengine - INFO - Epoch(train) [146][420/1879] lr: 1.0000e-04 eta: 1 day, 1:00:33 time: 0.4664 data_time: 0.0174 memory: 17087 grad_norm: 6.5426 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0493 loss: 1.0493 2022/08/04 18:42:30 - mmengine - INFO - Epoch(train) [146][440/1879] lr: 1.0000e-04 eta: 1 day, 1:00:24 time: 0.4386 data_time: 0.0178 memory: 17087 grad_norm: 6.6950 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9419 loss: 0.9419 2022/08/04 18:42:39 - mmengine - INFO - Epoch(train) [146][460/1879] lr: 1.0000e-04 eta: 1 day, 1:00:16 time: 0.4371 data_time: 0.0201 memory: 17087 grad_norm: 6.5161 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0864 loss: 1.0864 2022/08/04 18:42:47 - mmengine - INFO - Epoch(train) [146][480/1879] lr: 1.0000e-04 eta: 1 day, 1:00:07 time: 0.4356 data_time: 0.0150 memory: 17087 grad_norm: 6.4826 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8659 loss: 0.8659 2022/08/04 18:42:56 - mmengine - INFO - Epoch(train) [146][500/1879] lr: 1.0000e-04 eta: 1 day, 0:59:58 time: 0.4271 data_time: 0.0155 memory: 17087 grad_norm: 6.5851 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9919 loss: 0.9919 2022/08/04 18:43:05 - mmengine - INFO - Epoch(train) [146][520/1879] lr: 1.0000e-04 eta: 1 day, 0:59:50 time: 0.4398 data_time: 0.0169 memory: 17087 grad_norm: 6.5712 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0903 loss: 1.0903 2022/08/04 18:43:13 - mmengine - INFO - Epoch(train) [146][540/1879] lr: 1.0000e-04 eta: 1 day, 0:59:41 time: 0.4265 data_time: 0.0142 memory: 17087 grad_norm: 6.3147 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9231 loss: 0.9231 2022/08/04 18:43:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 18:43:22 - mmengine - INFO - Epoch(train) [146][560/1879] lr: 1.0000e-04 eta: 1 day, 0:59:33 time: 0.4544 data_time: 0.0171 memory: 17087 grad_norm: 6.6358 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7456 loss: 0.7456 2022/08/04 18:43:31 - mmengine - INFO - Epoch(train) [146][580/1879] lr: 1.0000e-04 eta: 1 day, 0:59:24 time: 0.4277 data_time: 0.0157 memory: 17087 grad_norm: 6.6124 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7789 loss: 0.7789 2022/08/04 18:43:40 - mmengine - INFO - Epoch(train) [146][600/1879] lr: 1.0000e-04 eta: 1 day, 0:59:15 time: 0.4368 data_time: 0.0164 memory: 17087 grad_norm: 6.3299 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7663 loss: 0.7663 2022/08/04 18:43:48 - mmengine - INFO - Epoch(train) [146][620/1879] lr: 1.0000e-04 eta: 1 day, 0:59:07 time: 0.4271 data_time: 0.0155 memory: 17087 grad_norm: 6.6949 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8488 loss: 0.8488 2022/08/04 18:43:57 - mmengine - INFO - Epoch(train) [146][640/1879] lr: 1.0000e-04 eta: 1 day, 0:58:58 time: 0.4376 data_time: 0.0178 memory: 17087 grad_norm: 6.6396 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8629 loss: 0.8629 2022/08/04 18:44:06 - mmengine - INFO - Epoch(train) [146][660/1879] lr: 1.0000e-04 eta: 1 day, 0:58:49 time: 0.4286 data_time: 0.0137 memory: 17087 grad_norm: 6.6983 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9478 loss: 0.9478 2022/08/04 18:44:14 - mmengine - INFO - Epoch(train) [146][680/1879] lr: 1.0000e-04 eta: 1 day, 0:58:41 time: 0.4329 data_time: 0.0176 memory: 17087 grad_norm: 6.4119 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8198 loss: 0.8198 2022/08/04 18:44:23 - mmengine - INFO - Epoch(train) [146][700/1879] lr: 1.0000e-04 eta: 1 day, 0:58:32 time: 0.4288 data_time: 0.0146 memory: 17087 grad_norm: 6.6345 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8660 loss: 0.8660 2022/08/04 18:44:32 - mmengine - INFO - Epoch(train) [146][720/1879] lr: 1.0000e-04 eta: 1 day, 0:58:23 time: 0.4398 data_time: 0.0185 memory: 17087 grad_norm: 6.7268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7566 loss: 0.7566 2022/08/04 18:44:40 - mmengine - INFO - Epoch(train) [146][740/1879] lr: 1.0000e-04 eta: 1 day, 0:58:15 time: 0.4269 data_time: 0.0154 memory: 17087 grad_norm: 6.8059 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8291 loss: 0.8291 2022/08/04 18:44:49 - mmengine - INFO - Epoch(train) [146][760/1879] lr: 1.0000e-04 eta: 1 day, 0:58:06 time: 0.4397 data_time: 0.0168 memory: 17087 grad_norm: 6.7546 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8152 loss: 0.8152 2022/08/04 18:44:58 - mmengine - INFO - Epoch(train) [146][780/1879] lr: 1.0000e-04 eta: 1 day, 0:57:57 time: 0.4289 data_time: 0.0147 memory: 17087 grad_norm: 6.5601 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8531 loss: 0.8531 2022/08/04 18:45:06 - mmengine - INFO - Epoch(train) [146][800/1879] lr: 1.0000e-04 eta: 1 day, 0:57:49 time: 0.4295 data_time: 0.0169 memory: 17087 grad_norm: 6.4189 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8546 loss: 0.8546 2022/08/04 18:45:16 - mmengine - INFO - Epoch(train) [146][820/1879] lr: 1.0000e-04 eta: 1 day, 0:57:41 time: 0.4670 data_time: 0.0166 memory: 17087 grad_norm: 6.6531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9457 loss: 0.9457 2022/08/04 18:45:24 - mmengine - INFO - Epoch(train) [146][840/1879] lr: 1.0000e-04 eta: 1 day, 0:57:32 time: 0.4283 data_time: 0.0163 memory: 17087 grad_norm: 6.6621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7025 loss: 0.7025 2022/08/04 18:45:33 - mmengine - INFO - Epoch(train) [146][860/1879] lr: 1.0000e-04 eta: 1 day, 0:57:24 time: 0.4534 data_time: 0.0159 memory: 17087 grad_norm: 6.6787 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9419 loss: 0.9419 2022/08/04 18:45:42 - mmengine - INFO - Epoch(train) [146][880/1879] lr: 1.0000e-04 eta: 1 day, 0:57:15 time: 0.4281 data_time: 0.0163 memory: 17087 grad_norm: 6.5867 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7865 loss: 0.7865 2022/08/04 18:45:51 - mmengine - INFO - Epoch(train) [146][900/1879] lr: 1.0000e-04 eta: 1 day, 0:57:07 time: 0.4566 data_time: 0.0180 memory: 17087 grad_norm: 6.5735 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8123 loss: 0.8123 2022/08/04 18:46:00 - mmengine - INFO - Epoch(train) [146][920/1879] lr: 1.0000e-04 eta: 1 day, 0:56:58 time: 0.4319 data_time: 0.0162 memory: 17087 grad_norm: 6.6835 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9132 loss: 0.9132 2022/08/04 18:46:08 - mmengine - INFO - Epoch(train) [146][940/1879] lr: 1.0000e-04 eta: 1 day, 0:56:49 time: 0.4359 data_time: 0.0151 memory: 17087 grad_norm: 6.5722 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.7945 loss: 0.7945 2022/08/04 18:46:17 - mmengine - INFO - Epoch(train) [146][960/1879] lr: 1.0000e-04 eta: 1 day, 0:56:41 time: 0.4275 data_time: 0.0158 memory: 17087 grad_norm: 6.7488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9121 loss: 0.9121 2022/08/04 18:46:26 - mmengine - INFO - Epoch(train) [146][980/1879] lr: 1.0000e-04 eta: 1 day, 0:56:32 time: 0.4311 data_time: 0.0179 memory: 17087 grad_norm: 6.5153 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9269 loss: 0.9269 2022/08/04 18:46:34 - mmengine - INFO - Epoch(train) [146][1000/1879] lr: 1.0000e-04 eta: 1 day, 0:56:23 time: 0.4304 data_time: 0.0161 memory: 17087 grad_norm: 6.4598 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9145 loss: 0.9145 2022/08/04 18:46:43 - mmengine - INFO - Epoch(train) [146][1020/1879] lr: 1.0000e-04 eta: 1 day, 0:56:15 time: 0.4564 data_time: 0.0233 memory: 17087 grad_norm: 6.7752 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9404 loss: 0.9404 2022/08/04 18:46:52 - mmengine - INFO - Epoch(train) [146][1040/1879] lr: 1.0000e-04 eta: 1 day, 0:56:06 time: 0.4322 data_time: 0.0202 memory: 17087 grad_norm: 6.7542 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8826 loss: 0.8826 2022/08/04 18:47:01 - mmengine - INFO - Epoch(train) [146][1060/1879] lr: 1.0000e-04 eta: 1 day, 0:55:58 time: 0.4336 data_time: 0.0168 memory: 17087 grad_norm: 6.7463 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9046 loss: 0.9046 2022/08/04 18:47:09 - mmengine - INFO - Epoch(train) [146][1080/1879] lr: 1.0000e-04 eta: 1 day, 0:55:49 time: 0.4276 data_time: 0.0150 memory: 17087 grad_norm: 6.5838 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0723 loss: 1.0723 2022/08/04 18:47:18 - mmengine - INFO - Epoch(train) [146][1100/1879] lr: 1.0000e-04 eta: 1 day, 0:55:41 time: 0.4522 data_time: 0.0164 memory: 17087 grad_norm: 6.3400 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7748 loss: 0.7748 2022/08/04 18:47:27 - mmengine - INFO - Epoch(train) [146][1120/1879] lr: 1.0000e-04 eta: 1 day, 0:55:32 time: 0.4282 data_time: 0.0156 memory: 17087 grad_norm: 6.6237 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9349 loss: 0.9349 2022/08/04 18:47:36 - mmengine - INFO - Epoch(train) [146][1140/1879] lr: 1.0000e-04 eta: 1 day, 0:55:23 time: 0.4280 data_time: 0.0150 memory: 17087 grad_norm: 6.6434 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8530 loss: 0.8530 2022/08/04 18:47:45 - mmengine - INFO - Epoch(train) [146][1160/1879] lr: 1.0000e-04 eta: 1 day, 0:55:15 time: 0.4500 data_time: 0.0157 memory: 17087 grad_norm: 6.6256 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8864 loss: 0.8864 2022/08/04 18:47:53 - mmengine - INFO - Epoch(train) [146][1180/1879] lr: 1.0000e-04 eta: 1 day, 0:55:06 time: 0.4273 data_time: 0.0151 memory: 17087 grad_norm: 6.5406 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8585 loss: 0.8585 2022/08/04 18:48:02 - mmengine - INFO - Epoch(train) [146][1200/1879] lr: 1.0000e-04 eta: 1 day, 0:54:58 time: 0.4512 data_time: 0.0213 memory: 17087 grad_norm: 6.4211 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7571 loss: 0.7571 2022/08/04 18:48:11 - mmengine - INFO - Epoch(train) [146][1220/1879] lr: 1.0000e-04 eta: 1 day, 0:54:49 time: 0.4299 data_time: 0.0153 memory: 17087 grad_norm: 6.3648 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8851 loss: 0.8851 2022/08/04 18:48:19 - mmengine - INFO - Epoch(train) [146][1240/1879] lr: 1.0000e-04 eta: 1 day, 0:54:40 time: 0.4298 data_time: 0.0152 memory: 17087 grad_norm: 6.5020 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9415 loss: 0.9415 2022/08/04 18:48:28 - mmengine - INFO - Epoch(train) [146][1260/1879] lr: 1.0000e-04 eta: 1 day, 0:54:32 time: 0.4322 data_time: 0.0157 memory: 17087 grad_norm: 6.7296 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8519 loss: 0.8519 2022/08/04 18:48:37 - mmengine - INFO - Epoch(train) [146][1280/1879] lr: 1.0000e-04 eta: 1 day, 0:54:23 time: 0.4284 data_time: 0.0162 memory: 17087 grad_norm: 6.5791 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8932 loss: 0.8932 2022/08/04 18:48:45 - mmengine - INFO - Epoch(train) [146][1300/1879] lr: 1.0000e-04 eta: 1 day, 0:54:14 time: 0.4278 data_time: 0.0150 memory: 17087 grad_norm: 6.6368 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8466 loss: 0.8466 2022/08/04 18:48:54 - mmengine - INFO - Epoch(train) [146][1320/1879] lr: 1.0000e-04 eta: 1 day, 0:54:06 time: 0.4429 data_time: 0.0162 memory: 17087 grad_norm: 6.7477 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7667 loss: 0.7667 2022/08/04 18:49:03 - mmengine - INFO - Epoch(train) [146][1340/1879] lr: 1.0000e-04 eta: 1 day, 0:53:57 time: 0.4283 data_time: 0.0169 memory: 17087 grad_norm: 6.7740 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8440 loss: 0.8440 2022/08/04 18:49:11 - mmengine - INFO - Epoch(train) [146][1360/1879] lr: 1.0000e-04 eta: 1 day, 0:53:48 time: 0.4356 data_time: 0.0165 memory: 17087 grad_norm: 6.7004 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8223 loss: 0.8223 2022/08/04 18:49:20 - mmengine - INFO - Epoch(train) [146][1380/1879] lr: 1.0000e-04 eta: 1 day, 0:53:40 time: 0.4302 data_time: 0.0149 memory: 17087 grad_norm: 6.6525 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9104 loss: 0.9104 2022/08/04 18:49:29 - mmengine - INFO - Epoch(train) [146][1400/1879] lr: 1.0000e-04 eta: 1 day, 0:53:31 time: 0.4369 data_time: 0.0161 memory: 17087 grad_norm: 6.4471 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7549 loss: 0.7549 2022/08/04 18:49:37 - mmengine - INFO - Epoch(train) [146][1420/1879] lr: 1.0000e-04 eta: 1 day, 0:53:22 time: 0.4282 data_time: 0.0157 memory: 17087 grad_norm: 6.4503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8218 loss: 0.8218 2022/08/04 18:49:46 - mmengine - INFO - Epoch(train) [146][1440/1879] lr: 1.0000e-04 eta: 1 day, 0:53:14 time: 0.4288 data_time: 0.0162 memory: 17087 grad_norm: 6.7365 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9148 loss: 0.9148 2022/08/04 18:49:55 - mmengine - INFO - Epoch(train) [146][1460/1879] lr: 1.0000e-04 eta: 1 day, 0:53:05 time: 0.4477 data_time: 0.0147 memory: 17087 grad_norm: 6.7744 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7801 loss: 0.7801 2022/08/04 18:50:04 - mmengine - INFO - Epoch(train) [146][1480/1879] lr: 1.0000e-04 eta: 1 day, 0:52:57 time: 0.4290 data_time: 0.0167 memory: 17087 grad_norm: 6.5542 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7761 loss: 0.7761 2022/08/04 18:50:13 - mmengine - INFO - Epoch(train) [146][1500/1879] lr: 1.0000e-04 eta: 1 day, 0:52:48 time: 0.4463 data_time: 0.0131 memory: 17087 grad_norm: 6.5004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8227 loss: 0.8227 2022/08/04 18:50:21 - mmengine - INFO - Epoch(train) [146][1520/1879] lr: 1.0000e-04 eta: 1 day, 0:52:39 time: 0.4285 data_time: 0.0157 memory: 17087 grad_norm: 6.4967 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9111 loss: 0.9111 2022/08/04 18:50:30 - mmengine - INFO - Epoch(train) [146][1540/1879] lr: 1.0000e-04 eta: 1 day, 0:52:31 time: 0.4449 data_time: 0.0172 memory: 17087 grad_norm: 6.4224 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8213 loss: 0.8213 2022/08/04 18:50:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 18:50:39 - mmengine - INFO - Epoch(train) [146][1560/1879] lr: 1.0000e-04 eta: 1 day, 0:52:22 time: 0.4286 data_time: 0.0161 memory: 17087 grad_norm: 6.5744 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0395 loss: 1.0395 2022/08/04 18:50:47 - mmengine - INFO - Epoch(train) [146][1580/1879] lr: 1.0000e-04 eta: 1 day, 0:52:13 time: 0.4277 data_time: 0.0146 memory: 17087 grad_norm: 6.5723 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8108 loss: 0.8108 2022/08/04 18:50:56 - mmengine - INFO - Epoch(train) [146][1600/1879] lr: 1.0000e-04 eta: 1 day, 0:52:05 time: 0.4588 data_time: 0.0164 memory: 17087 grad_norm: 6.5874 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8243 loss: 0.8243 2022/08/04 18:51:05 - mmengine - INFO - Epoch(train) [146][1620/1879] lr: 1.0000e-04 eta: 1 day, 0:51:57 time: 0.4282 data_time: 0.0165 memory: 17087 grad_norm: 6.6905 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8068 loss: 0.8068 2022/08/04 18:51:14 - mmengine - INFO - Epoch(train) [146][1640/1879] lr: 1.0000e-04 eta: 1 day, 0:51:48 time: 0.4350 data_time: 0.0176 memory: 17087 grad_norm: 6.3888 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8320 loss: 0.8320 2022/08/04 18:51:22 - mmengine - INFO - Epoch(train) [146][1660/1879] lr: 1.0000e-04 eta: 1 day, 0:51:39 time: 0.4321 data_time: 0.0140 memory: 17087 grad_norm: 6.3420 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7888 loss: 0.7888 2022/08/04 18:51:31 - mmengine - INFO - Epoch(train) [146][1680/1879] lr: 1.0000e-04 eta: 1 day, 0:51:31 time: 0.4411 data_time: 0.0155 memory: 17087 grad_norm: 6.6893 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9047 loss: 0.9047 2022/08/04 18:51:40 - mmengine - INFO - Epoch(train) [146][1700/1879] lr: 1.0000e-04 eta: 1 day, 0:51:22 time: 0.4352 data_time: 0.0172 memory: 17087 grad_norm: 6.6650 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9428 loss: 0.9428 2022/08/04 18:51:48 - mmengine - INFO - Epoch(train) [146][1720/1879] lr: 1.0000e-04 eta: 1 day, 0:51:13 time: 0.4295 data_time: 0.0157 memory: 17087 grad_norm: 6.4403 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9480 loss: 0.9480 2022/08/04 18:51:57 - mmengine - INFO - Epoch(train) [146][1740/1879] lr: 1.0000e-04 eta: 1 day, 0:51:05 time: 0.4261 data_time: 0.0142 memory: 17087 grad_norm: 6.4364 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8572 loss: 0.8572 2022/08/04 18:52:06 - mmengine - INFO - Epoch(train) [146][1760/1879] lr: 1.0000e-04 eta: 1 day, 0:50:56 time: 0.4324 data_time: 0.0161 memory: 17087 grad_norm: 6.4415 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8505 loss: 0.8505 2022/08/04 18:52:14 - mmengine - INFO - Epoch(train) [146][1780/1879] lr: 1.0000e-04 eta: 1 day, 0:50:47 time: 0.4288 data_time: 0.0161 memory: 17087 grad_norm: 6.4525 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8643 loss: 0.8643 2022/08/04 18:52:23 - mmengine - INFO - Epoch(train) [146][1800/1879] lr: 1.0000e-04 eta: 1 day, 0:50:39 time: 0.4349 data_time: 0.0160 memory: 17087 grad_norm: 6.5671 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7072 loss: 0.7072 2022/08/04 18:52:32 - mmengine - INFO - Epoch(train) [146][1820/1879] lr: 1.0000e-04 eta: 1 day, 0:50:30 time: 0.4367 data_time: 0.0150 memory: 17087 grad_norm: 6.5449 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9552 loss: 0.9552 2022/08/04 18:52:40 - mmengine - INFO - Epoch(train) [146][1840/1879] lr: 1.0000e-04 eta: 1 day, 0:50:21 time: 0.4337 data_time: 0.0172 memory: 17087 grad_norm: 6.6188 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8741 loss: 0.8741 2022/08/04 18:52:49 - mmengine - INFO - Epoch(train) [146][1860/1879] lr: 1.0000e-04 eta: 1 day, 0:50:13 time: 0.4445 data_time: 0.0145 memory: 17087 grad_norm: 6.5523 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9029 loss: 0.9029 2022/08/04 18:52:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 18:52:57 - mmengine - INFO - Epoch(train) [146][1879/1879] lr: 1.0000e-04 eta: 1 day, 0:50:13 time: 0.4133 data_time: 0.0145 memory: 17087 grad_norm: 6.9673 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9107 loss: 0.9107 2022/08/04 18:53:08 - mmengine - INFO - Epoch(train) [147][20/1879] lr: 1.0000e-04 eta: 1 day, 0:49:52 time: 0.5464 data_time: 0.1096 memory: 17087 grad_norm: 6.7474 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9232 loss: 0.9232 2022/08/04 18:53:17 - mmengine - INFO - Epoch(train) [147][40/1879] lr: 1.0000e-04 eta: 1 day, 0:49:43 time: 0.4291 data_time: 0.0166 memory: 17087 grad_norm: 6.8712 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8250 loss: 0.8250 2022/08/04 18:53:25 - mmengine - INFO - Epoch(train) [147][60/1879] lr: 1.0000e-04 eta: 1 day, 0:49:34 time: 0.4288 data_time: 0.0143 memory: 17087 grad_norm: 6.4178 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7582 loss: 0.7582 2022/08/04 18:53:34 - mmengine - INFO - Epoch(train) [147][80/1879] lr: 1.0000e-04 eta: 1 day, 0:49:26 time: 0.4318 data_time: 0.0198 memory: 17087 grad_norm: 6.6360 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7773 loss: 0.7773 2022/08/04 18:53:43 - mmengine - INFO - Epoch(train) [147][100/1879] lr: 1.0000e-04 eta: 1 day, 0:49:17 time: 0.4282 data_time: 0.0151 memory: 17087 grad_norm: 6.4712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9566 loss: 0.9566 2022/08/04 18:53:51 - mmengine - INFO - Epoch(train) [147][120/1879] lr: 1.0000e-04 eta: 1 day, 0:49:08 time: 0.4336 data_time: 0.0170 memory: 17087 grad_norm: 6.6020 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7423 loss: 0.7423 2022/08/04 18:54:00 - mmengine - INFO - Epoch(train) [147][140/1879] lr: 1.0000e-04 eta: 1 day, 0:49:00 time: 0.4277 data_time: 0.0158 memory: 17087 grad_norm: 6.6616 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9291 loss: 0.9291 2022/08/04 18:54:09 - mmengine - INFO - Epoch(train) [147][160/1879] lr: 1.0000e-04 eta: 1 day, 0:48:51 time: 0.4322 data_time: 0.0162 memory: 17087 grad_norm: 6.7672 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8849 loss: 0.8849 2022/08/04 18:54:17 - mmengine - INFO - Epoch(train) [147][180/1879] lr: 1.0000e-04 eta: 1 day, 0:48:42 time: 0.4273 data_time: 0.0151 memory: 17087 grad_norm: 6.7103 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8969 loss: 0.8969 2022/08/04 18:54:26 - mmengine - INFO - Epoch(train) [147][200/1879] lr: 1.0000e-04 eta: 1 day, 0:48:33 time: 0.4289 data_time: 0.0153 memory: 17087 grad_norm: 6.6011 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8393 loss: 0.8393 2022/08/04 18:54:34 - mmengine - INFO - Epoch(train) [147][220/1879] lr: 1.0000e-04 eta: 1 day, 0:48:25 time: 0.4357 data_time: 0.0162 memory: 17087 grad_norm: 6.6989 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7020 loss: 0.7020 2022/08/04 18:54:43 - mmengine - INFO - Epoch(train) [147][240/1879] lr: 1.0000e-04 eta: 1 day, 0:48:16 time: 0.4275 data_time: 0.0164 memory: 17087 grad_norm: 6.3588 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8419 loss: 0.8419 2022/08/04 18:54:52 - mmengine - INFO - Epoch(train) [147][260/1879] lr: 1.0000e-04 eta: 1 day, 0:48:07 time: 0.4296 data_time: 0.0152 memory: 17087 grad_norm: 6.6602 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9669 loss: 0.9669 2022/08/04 18:55:00 - mmengine - INFO - Epoch(train) [147][280/1879] lr: 1.0000e-04 eta: 1 day, 0:47:59 time: 0.4293 data_time: 0.0149 memory: 17087 grad_norm: 6.5129 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9525 loss: 0.9525 2022/08/04 18:55:09 - mmengine - INFO - Epoch(train) [147][300/1879] lr: 1.0000e-04 eta: 1 day, 0:47:50 time: 0.4412 data_time: 0.0169 memory: 17087 grad_norm: 6.3929 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8566 loss: 0.8566 2022/08/04 18:55:18 - mmengine - INFO - Epoch(train) [147][320/1879] lr: 1.0000e-04 eta: 1 day, 0:47:41 time: 0.4282 data_time: 0.0151 memory: 17087 grad_norm: 6.4901 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8250 loss: 0.8250 2022/08/04 18:55:26 - mmengine - INFO - Epoch(train) [147][340/1879] lr: 1.0000e-04 eta: 1 day, 0:47:33 time: 0.4276 data_time: 0.0149 memory: 17087 grad_norm: 6.3438 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7810 loss: 0.7810 2022/08/04 18:55:35 - mmengine - INFO - Epoch(train) [147][360/1879] lr: 1.0000e-04 eta: 1 day, 0:47:24 time: 0.4363 data_time: 0.0173 memory: 17087 grad_norm: 6.6934 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7915 loss: 0.7915 2022/08/04 18:55:44 - mmengine - INFO - Epoch(train) [147][380/1879] lr: 1.0000e-04 eta: 1 day, 0:47:15 time: 0.4282 data_time: 0.0169 memory: 17087 grad_norm: 6.6375 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0190 loss: 1.0190 2022/08/04 18:55:52 - mmengine - INFO - Epoch(train) [147][400/1879] lr: 1.0000e-04 eta: 1 day, 0:47:07 time: 0.4423 data_time: 0.0150 memory: 17087 grad_norm: 6.5166 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8960 loss: 0.8960 2022/08/04 18:56:01 - mmengine - INFO - Epoch(train) [147][420/1879] lr: 1.0000e-04 eta: 1 day, 0:46:58 time: 0.4284 data_time: 0.0157 memory: 17087 grad_norm: 6.5326 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7784 loss: 0.7784 2022/08/04 18:56:10 - mmengine - INFO - Epoch(train) [147][440/1879] lr: 1.0000e-04 eta: 1 day, 0:46:50 time: 0.4357 data_time: 0.0163 memory: 17087 grad_norm: 6.7406 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9427 loss: 0.9427 2022/08/04 18:56:18 - mmengine - INFO - Epoch(train) [147][460/1879] lr: 1.0000e-04 eta: 1 day, 0:46:41 time: 0.4298 data_time: 0.0185 memory: 17087 grad_norm: 6.4976 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7261 loss: 0.7261 2022/08/04 18:56:27 - mmengine - INFO - Epoch(train) [147][480/1879] lr: 1.0000e-04 eta: 1 day, 0:46:32 time: 0.4265 data_time: 0.0149 memory: 17087 grad_norm: 6.7495 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0292 loss: 1.0292 2022/08/04 18:56:36 - mmengine - INFO - Epoch(train) [147][500/1879] lr: 1.0000e-04 eta: 1 day, 0:46:24 time: 0.4474 data_time: 0.0152 memory: 17087 grad_norm: 6.8465 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8870 loss: 0.8870 2022/08/04 18:56:44 - mmengine - INFO - Epoch(train) [147][520/1879] lr: 1.0000e-04 eta: 1 day, 0:46:15 time: 0.4294 data_time: 0.0167 memory: 17087 grad_norm: 6.3892 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7960 loss: 0.7960 2022/08/04 18:56:53 - mmengine - INFO - Epoch(train) [147][540/1879] lr: 1.0000e-04 eta: 1 day, 0:46:06 time: 0.4296 data_time: 0.0149 memory: 17087 grad_norm: 6.3734 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8450 loss: 0.8450 2022/08/04 18:57:02 - mmengine - INFO - Epoch(train) [147][560/1879] lr: 1.0000e-04 eta: 1 day, 0:45:58 time: 0.4273 data_time: 0.0155 memory: 17087 grad_norm: 6.3600 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7744 loss: 0.7744 2022/08/04 18:57:11 - mmengine - INFO - Epoch(train) [147][580/1879] lr: 1.0000e-04 eta: 1 day, 0:45:49 time: 0.4458 data_time: 0.0159 memory: 17087 grad_norm: 6.3504 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 1.0048 loss: 1.0048 2022/08/04 18:57:19 - mmengine - INFO - Epoch(train) [147][600/1879] lr: 1.0000e-04 eta: 1 day, 0:45:40 time: 0.4296 data_time: 0.0158 memory: 17087 grad_norm: 6.4507 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8790 loss: 0.8790 2022/08/04 18:57:28 - mmengine - INFO - Epoch(train) [147][620/1879] lr: 1.0000e-04 eta: 1 day, 0:45:32 time: 0.4283 data_time: 0.0146 memory: 17087 grad_norm: 6.7389 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0131 loss: 1.0131 2022/08/04 18:57:37 - mmengine - INFO - Epoch(train) [147][640/1879] lr: 1.0000e-04 eta: 1 day, 0:45:23 time: 0.4393 data_time: 0.0165 memory: 17087 grad_norm: 6.4680 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7975 loss: 0.7975 2022/08/04 18:57:45 - mmengine - INFO - Epoch(train) [147][660/1879] lr: 1.0000e-04 eta: 1 day, 0:45:15 time: 0.4312 data_time: 0.0137 memory: 17087 grad_norm: 6.4985 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6957 loss: 0.6957 2022/08/04 18:57:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 18:57:55 - mmengine - INFO - Epoch(train) [147][680/1879] lr: 1.0000e-04 eta: 1 day, 0:45:07 time: 0.4979 data_time: 0.0188 memory: 17087 grad_norm: 6.4718 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8366 loss: 0.8366 2022/08/04 18:58:04 - mmengine - INFO - Epoch(train) [147][700/1879] lr: 1.0000e-04 eta: 1 day, 0:44:58 time: 0.4288 data_time: 0.0153 memory: 17087 grad_norm: 6.4863 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0637 loss: 1.0637 2022/08/04 18:58:13 - mmengine - INFO - Epoch(train) [147][720/1879] lr: 1.0000e-04 eta: 1 day, 0:44:50 time: 0.4412 data_time: 0.0166 memory: 17087 grad_norm: 6.6216 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8753 loss: 0.8753 2022/08/04 18:58:21 - mmengine - INFO - Epoch(train) [147][740/1879] lr: 1.0000e-04 eta: 1 day, 0:44:41 time: 0.4301 data_time: 0.0157 memory: 17087 grad_norm: 6.5898 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9551 loss: 0.9551 2022/08/04 18:58:30 - mmengine - INFO - Epoch(train) [147][760/1879] lr: 1.0000e-04 eta: 1 day, 0:44:32 time: 0.4344 data_time: 0.0166 memory: 17087 grad_norm: 6.7425 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9905 loss: 0.9905 2022/08/04 18:58:38 - mmengine - INFO - Epoch(train) [147][780/1879] lr: 1.0000e-04 eta: 1 day, 0:44:24 time: 0.4269 data_time: 0.0159 memory: 17087 grad_norm: 6.6769 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.0641 loss: 1.0641 2022/08/04 18:58:47 - mmengine - INFO - Epoch(train) [147][800/1879] lr: 1.0000e-04 eta: 1 day, 0:44:15 time: 0.4275 data_time: 0.0147 memory: 17087 grad_norm: 6.5459 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0406 loss: 1.0406 2022/08/04 18:58:56 - mmengine - INFO - Epoch(train) [147][820/1879] lr: 1.0000e-04 eta: 1 day, 0:44:06 time: 0.4379 data_time: 0.0155 memory: 17087 grad_norm: 6.6438 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8085 loss: 0.8085 2022/08/04 18:59:04 - mmengine - INFO - Epoch(train) [147][840/1879] lr: 1.0000e-04 eta: 1 day, 0:43:58 time: 0.4283 data_time: 0.0153 memory: 17087 grad_norm: 6.5907 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9211 loss: 0.9211 2022/08/04 18:59:13 - mmengine - INFO - Epoch(train) [147][860/1879] lr: 1.0000e-04 eta: 1 day, 0:43:49 time: 0.4340 data_time: 0.0153 memory: 17087 grad_norm: 6.5450 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7869 loss: 0.7869 2022/08/04 18:59:22 - mmengine - INFO - Epoch(train) [147][880/1879] lr: 1.0000e-04 eta: 1 day, 0:43:40 time: 0.4335 data_time: 0.0161 memory: 17087 grad_norm: 6.6706 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9606 loss: 0.9606 2022/08/04 18:59:31 - mmengine - INFO - Epoch(train) [147][900/1879] lr: 1.0000e-04 eta: 1 day, 0:43:32 time: 0.4654 data_time: 0.0165 memory: 17087 grad_norm: 6.6762 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8396 loss: 0.8396 2022/08/04 18:59:40 - mmengine - INFO - Epoch(train) [147][920/1879] lr: 1.0000e-04 eta: 1 day, 0:43:23 time: 0.4303 data_time: 0.0196 memory: 17087 grad_norm: 6.7340 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9670 loss: 0.9670 2022/08/04 18:59:48 - mmengine - INFO - Epoch(train) [147][940/1879] lr: 1.0000e-04 eta: 1 day, 0:43:15 time: 0.4291 data_time: 0.0146 memory: 17087 grad_norm: 6.3338 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7830 loss: 0.7830 2022/08/04 18:59:57 - mmengine - INFO - Epoch(train) [147][960/1879] lr: 1.0000e-04 eta: 1 day, 0:43:06 time: 0.4280 data_time: 0.0144 memory: 17087 grad_norm: 6.4808 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8169 loss: 0.8169 2022/08/04 19:00:06 - mmengine - INFO - Epoch(train) [147][980/1879] lr: 1.0000e-04 eta: 1 day, 0:42:57 time: 0.4361 data_time: 0.0157 memory: 17087 grad_norm: 6.5228 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8560 loss: 0.8560 2022/08/04 19:00:14 - mmengine - INFO - Epoch(train) [147][1000/1879] lr: 1.0000e-04 eta: 1 day, 0:42:49 time: 0.4289 data_time: 0.0173 memory: 17087 grad_norm: 6.6125 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9166 loss: 0.9166 2022/08/04 19:00:23 - mmengine - INFO - Epoch(train) [147][1020/1879] lr: 1.0000e-04 eta: 1 day, 0:42:40 time: 0.4366 data_time: 0.0152 memory: 17087 grad_norm: 6.8782 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8007 loss: 0.8007 2022/08/04 19:00:32 - mmengine - INFO - Epoch(train) [147][1040/1879] lr: 1.0000e-04 eta: 1 day, 0:42:32 time: 0.4333 data_time: 0.0170 memory: 17087 grad_norm: 6.6929 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8235 loss: 0.8235 2022/08/04 19:00:40 - mmengine - INFO - Epoch(train) [147][1060/1879] lr: 1.0000e-04 eta: 1 day, 0:42:23 time: 0.4396 data_time: 0.0170 memory: 17087 grad_norm: 6.4247 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8642 loss: 0.8642 2022/08/04 19:00:49 - mmengine - INFO - Epoch(train) [147][1080/1879] lr: 1.0000e-04 eta: 1 day, 0:42:14 time: 0.4291 data_time: 0.0154 memory: 17087 grad_norm: 6.6015 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7634 loss: 0.7634 2022/08/04 19:00:58 - mmengine - INFO - Epoch(train) [147][1100/1879] lr: 1.0000e-04 eta: 1 day, 0:42:06 time: 0.4287 data_time: 0.0156 memory: 17087 grad_norm: 6.4675 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7754 loss: 0.7754 2022/08/04 19:01:06 - mmengine - INFO - Epoch(train) [147][1120/1879] lr: 1.0000e-04 eta: 1 day, 0:41:57 time: 0.4386 data_time: 0.0180 memory: 17087 grad_norm: 6.5470 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8252 loss: 0.8252 2022/08/04 19:01:15 - mmengine - INFO - Epoch(train) [147][1140/1879] lr: 1.0000e-04 eta: 1 day, 0:41:48 time: 0.4289 data_time: 0.0162 memory: 17087 grad_norm: 6.5521 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8949 loss: 0.8949 2022/08/04 19:01:24 - mmengine - INFO - Epoch(train) [147][1160/1879] lr: 1.0000e-04 eta: 1 day, 0:41:40 time: 0.4344 data_time: 0.0168 memory: 17087 grad_norm: 6.5616 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0216 loss: 1.0216 2022/08/04 19:01:32 - mmengine - INFO - Epoch(train) [147][1180/1879] lr: 1.0000e-04 eta: 1 day, 0:41:31 time: 0.4312 data_time: 0.0162 memory: 17087 grad_norm: 6.6952 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8715 loss: 0.8715 2022/08/04 19:01:41 - mmengine - INFO - Epoch(train) [147][1200/1879] lr: 1.0000e-04 eta: 1 day, 0:41:22 time: 0.4372 data_time: 0.0176 memory: 17087 grad_norm: 6.4739 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8463 loss: 0.8463 2022/08/04 19:01:50 - mmengine - INFO - Epoch(train) [147][1220/1879] lr: 1.0000e-04 eta: 1 day, 0:41:14 time: 0.4389 data_time: 0.0149 memory: 17087 grad_norm: 6.5013 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7369 loss: 0.7369 2022/08/04 19:01:59 - mmengine - INFO - Epoch(train) [147][1240/1879] lr: 1.0000e-04 eta: 1 day, 0:41:05 time: 0.4285 data_time: 0.0162 memory: 17087 grad_norm: 6.5901 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8330 loss: 0.8330 2022/08/04 19:02:07 - mmengine - INFO - Epoch(train) [147][1260/1879] lr: 1.0000e-04 eta: 1 day, 0:40:57 time: 0.4336 data_time: 0.0167 memory: 17087 grad_norm: 6.5914 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0724 loss: 1.0724 2022/08/04 19:02:16 - mmengine - INFO - Epoch(train) [147][1280/1879] lr: 1.0000e-04 eta: 1 day, 0:40:48 time: 0.4465 data_time: 0.0161 memory: 17087 grad_norm: 6.7538 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9713 loss: 0.9713 2022/08/04 19:02:25 - mmengine - INFO - Epoch(train) [147][1300/1879] lr: 1.0000e-04 eta: 1 day, 0:40:39 time: 0.4359 data_time: 0.0145 memory: 17087 grad_norm: 6.7584 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9586 loss: 0.9586 2022/08/04 19:02:34 - mmengine - INFO - Epoch(train) [147][1320/1879] lr: 1.0000e-04 eta: 1 day, 0:40:31 time: 0.4454 data_time: 0.0163 memory: 17087 grad_norm: 6.5097 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8473 loss: 0.8473 2022/08/04 19:02:42 - mmengine - INFO - Epoch(train) [147][1340/1879] lr: 1.0000e-04 eta: 1 day, 0:40:22 time: 0.4300 data_time: 0.0151 memory: 17087 grad_norm: 6.5000 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7982 loss: 0.7982 2022/08/04 19:02:52 - mmengine - INFO - Epoch(train) [147][1360/1879] lr: 1.0000e-04 eta: 1 day, 0:40:14 time: 0.4548 data_time: 0.0208 memory: 17087 grad_norm: 6.3944 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9049 loss: 0.9049 2022/08/04 19:03:00 - mmengine - INFO - Epoch(train) [147][1380/1879] lr: 1.0000e-04 eta: 1 day, 0:40:05 time: 0.4301 data_time: 0.0147 memory: 17087 grad_norm: 6.3174 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7610 loss: 0.7610 2022/08/04 19:03:09 - mmengine - INFO - Epoch(train) [147][1400/1879] lr: 1.0000e-04 eta: 1 day, 0:39:57 time: 0.4376 data_time: 0.0208 memory: 17087 grad_norm: 6.4120 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9158 loss: 0.9158 2022/08/04 19:03:18 - mmengine - INFO - Epoch(train) [147][1420/1879] lr: 1.0000e-04 eta: 1 day, 0:39:48 time: 0.4361 data_time: 0.0137 memory: 17087 grad_norm: 6.5817 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8685 loss: 0.8685 2022/08/04 19:03:26 - mmengine - INFO - Epoch(train) [147][1440/1879] lr: 1.0000e-04 eta: 1 day, 0:39:39 time: 0.4299 data_time: 0.0160 memory: 17087 grad_norm: 6.3698 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8567 loss: 0.8567 2022/08/04 19:03:35 - mmengine - INFO - Epoch(train) [147][1460/1879] lr: 1.0000e-04 eta: 1 day, 0:39:31 time: 0.4465 data_time: 0.0144 memory: 17087 grad_norm: 6.3627 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9027 loss: 0.9027 2022/08/04 19:03:44 - mmengine - INFO - Epoch(train) [147][1480/1879] lr: 1.0000e-04 eta: 1 day, 0:39:22 time: 0.4311 data_time: 0.0170 memory: 17087 grad_norm: 6.6293 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8908 loss: 0.8908 2022/08/04 19:03:52 - mmengine - INFO - Epoch(train) [147][1500/1879] lr: 1.0000e-04 eta: 1 day, 0:39:14 time: 0.4290 data_time: 0.0135 memory: 17087 grad_norm: 6.6626 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9209 loss: 0.9209 2022/08/04 19:04:01 - mmengine - INFO - Epoch(train) [147][1520/1879] lr: 1.0000e-04 eta: 1 day, 0:39:05 time: 0.4491 data_time: 0.0168 memory: 17087 grad_norm: 6.3219 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7269 loss: 0.7269 2022/08/04 19:04:10 - mmengine - INFO - Epoch(train) [147][1540/1879] lr: 1.0000e-04 eta: 1 day, 0:38:57 time: 0.4290 data_time: 0.0134 memory: 17087 grad_norm: 6.4220 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8511 loss: 0.8511 2022/08/04 19:04:19 - mmengine - INFO - Epoch(train) [147][1560/1879] lr: 1.0000e-04 eta: 1 day, 0:38:48 time: 0.4294 data_time: 0.0166 memory: 17087 grad_norm: 6.4479 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0206 loss: 1.0206 2022/08/04 19:04:27 - mmengine - INFO - Epoch(train) [147][1580/1879] lr: 1.0000e-04 eta: 1 day, 0:38:39 time: 0.4346 data_time: 0.0151 memory: 17087 grad_norm: 6.5063 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9040 loss: 0.9040 2022/08/04 19:04:36 - mmengine - INFO - Epoch(train) [147][1600/1879] lr: 1.0000e-04 eta: 1 day, 0:38:30 time: 0.4275 data_time: 0.0159 memory: 17087 grad_norm: 6.5803 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8462 loss: 0.8462 2022/08/04 19:04:45 - mmengine - INFO - Epoch(train) [147][1620/1879] lr: 1.0000e-04 eta: 1 day, 0:38:22 time: 0.4599 data_time: 0.0178 memory: 17087 grad_norm: 6.7390 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8624 loss: 0.8624 2022/08/04 19:04:54 - mmengine - INFO - Epoch(train) [147][1640/1879] lr: 1.0000e-04 eta: 1 day, 0:38:14 time: 0.4272 data_time: 0.0158 memory: 17087 grad_norm: 6.8199 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8376 loss: 0.8376 2022/08/04 19:05:04 - mmengine - INFO - Epoch(train) [147][1660/1879] lr: 1.0000e-04 eta: 1 day, 0:38:06 time: 0.5140 data_time: 0.0216 memory: 17087 grad_norm: 6.6385 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8481 loss: 0.8481 2022/08/04 19:05:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 19:05:13 - mmengine - INFO - Epoch(train) [147][1680/1879] lr: 1.0000e-04 eta: 1 day, 0:37:57 time: 0.4315 data_time: 0.0168 memory: 17087 grad_norm: 6.6017 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9224 loss: 0.9224 2022/08/04 19:05:21 - mmengine - INFO - Epoch(train) [147][1700/1879] lr: 1.0000e-04 eta: 1 day, 0:37:49 time: 0.4359 data_time: 0.0184 memory: 17087 grad_norm: 6.8244 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8673 loss: 0.8673 2022/08/04 19:05:30 - mmengine - INFO - Epoch(train) [147][1720/1879] lr: 1.0000e-04 eta: 1 day, 0:37:40 time: 0.4293 data_time: 0.0157 memory: 17087 grad_norm: 6.6132 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7582 loss: 0.7582 2022/08/04 19:05:39 - mmengine - INFO - Epoch(train) [147][1740/1879] lr: 1.0000e-04 eta: 1 day, 0:37:31 time: 0.4285 data_time: 0.0153 memory: 17087 grad_norm: 6.6973 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8909 loss: 0.8909 2022/08/04 19:05:48 - mmengine - INFO - Epoch(train) [147][1760/1879] lr: 1.0000e-04 eta: 1 day, 0:37:23 time: 0.4467 data_time: 0.0165 memory: 17087 grad_norm: 6.3448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8910 loss: 0.8910 2022/08/04 19:05:56 - mmengine - INFO - Epoch(train) [147][1780/1879] lr: 1.0000e-04 eta: 1 day, 0:37:14 time: 0.4279 data_time: 0.0142 memory: 17087 grad_norm: 6.4119 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7970 loss: 0.7970 2022/08/04 19:06:05 - mmengine - INFO - Epoch(train) [147][1800/1879] lr: 1.0000e-04 eta: 1 day, 0:37:06 time: 0.4394 data_time: 0.0222 memory: 17087 grad_norm: 6.6291 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7952 loss: 0.7952 2022/08/04 19:06:14 - mmengine - INFO - Epoch(train) [147][1820/1879] lr: 1.0000e-04 eta: 1 day, 0:36:57 time: 0.4288 data_time: 0.0145 memory: 17087 grad_norm: 6.7633 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7459 loss: 0.7459 2022/08/04 19:06:22 - mmengine - INFO - Epoch(train) [147][1840/1879] lr: 1.0000e-04 eta: 1 day, 0:36:48 time: 0.4356 data_time: 0.0191 memory: 17087 grad_norm: 6.5543 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9326 loss: 0.9326 2022/08/04 19:06:31 - mmengine - INFO - Epoch(train) [147][1860/1879] lr: 1.0000e-04 eta: 1 day, 0:36:40 time: 0.4273 data_time: 0.0138 memory: 17087 grad_norm: 6.5449 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8542 loss: 0.8542 2022/08/04 19:06:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 19:06:39 - mmengine - INFO - Epoch(train) [147][1879/1879] lr: 1.0000e-04 eta: 1 day, 0:36:40 time: 0.4137 data_time: 0.0192 memory: 17087 grad_norm: 6.5913 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9032 loss: 0.9032 2022/08/04 19:06:50 - mmengine - INFO - Epoch(train) [148][20/1879] lr: 1.0000e-04 eta: 1 day, 0:36:19 time: 0.5594 data_time: 0.1166 memory: 17087 grad_norm: 6.5813 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8944 loss: 0.8944 2022/08/04 19:06:58 - mmengine - INFO - Epoch(train) [148][40/1879] lr: 1.0000e-04 eta: 1 day, 0:36:10 time: 0.4293 data_time: 0.0170 memory: 17087 grad_norm: 6.6636 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9926 loss: 0.9926 2022/08/04 19:07:07 - mmengine - INFO - Epoch(train) [148][60/1879] lr: 1.0000e-04 eta: 1 day, 0:36:01 time: 0.4323 data_time: 0.0145 memory: 17087 grad_norm: 6.3635 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7912 loss: 0.7912 2022/08/04 19:07:16 - mmengine - INFO - Epoch(train) [148][80/1879] lr: 1.0000e-04 eta: 1 day, 0:35:53 time: 0.4288 data_time: 0.0157 memory: 17087 grad_norm: 6.4048 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8064 loss: 0.8064 2022/08/04 19:07:25 - mmengine - INFO - Epoch(train) [148][100/1879] lr: 1.0000e-04 eta: 1 day, 0:35:44 time: 0.4460 data_time: 0.0161 memory: 17087 grad_norm: 6.4370 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8831 loss: 0.8831 2022/08/04 19:07:33 - mmengine - INFO - Epoch(train) [148][120/1879] lr: 1.0000e-04 eta: 1 day, 0:35:35 time: 0.4339 data_time: 0.0214 memory: 17087 grad_norm: 6.8314 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0301 loss: 1.0301 2022/08/04 19:07:42 - mmengine - INFO - Epoch(train) [148][140/1879] lr: 1.0000e-04 eta: 1 day, 0:35:27 time: 0.4321 data_time: 0.0139 memory: 17087 grad_norm: 6.4333 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8027 loss: 0.8027 2022/08/04 19:07:51 - mmengine - INFO - Epoch(train) [148][160/1879] lr: 1.0000e-04 eta: 1 day, 0:35:18 time: 0.4347 data_time: 0.0166 memory: 17087 grad_norm: 6.4098 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8574 loss: 0.8574 2022/08/04 19:07:59 - mmengine - INFO - Epoch(train) [148][180/1879] lr: 1.0000e-04 eta: 1 day, 0:35:09 time: 0.4293 data_time: 0.0137 memory: 17087 grad_norm: 6.7724 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8428 loss: 0.8428 2022/08/04 19:08:08 - mmengine - INFO - Epoch(train) [148][200/1879] lr: 1.0000e-04 eta: 1 day, 0:35:01 time: 0.4311 data_time: 0.0160 memory: 17087 grad_norm: 6.6894 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9475 loss: 0.9475 2022/08/04 19:08:17 - mmengine - INFO - Epoch(train) [148][220/1879] lr: 1.0000e-04 eta: 1 day, 0:34:52 time: 0.4271 data_time: 0.0145 memory: 17087 grad_norm: 6.6302 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9304 loss: 0.9304 2022/08/04 19:08:25 - mmengine - INFO - Epoch(train) [148][240/1879] lr: 1.0000e-04 eta: 1 day, 0:34:43 time: 0.4317 data_time: 0.0168 memory: 17087 grad_norm: 6.4909 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8103 loss: 0.8103 2022/08/04 19:08:34 - mmengine - INFO - Epoch(train) [148][260/1879] lr: 1.0000e-04 eta: 1 day, 0:34:35 time: 0.4284 data_time: 0.0139 memory: 17087 grad_norm: 6.5387 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7605 loss: 0.7605 2022/08/04 19:08:43 - mmengine - INFO - Epoch(train) [148][280/1879] lr: 1.0000e-04 eta: 1 day, 0:34:26 time: 0.4357 data_time: 0.0164 memory: 17087 grad_norm: 6.6126 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9314 loss: 0.9314 2022/08/04 19:08:51 - mmengine - INFO - Epoch(train) [148][300/1879] lr: 1.0000e-04 eta: 1 day, 0:34:17 time: 0.4294 data_time: 0.0139 memory: 17087 grad_norm: 7.0649 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9613 loss: 0.9613 2022/08/04 19:09:00 - mmengine - INFO - Epoch(train) [148][320/1879] lr: 1.0000e-04 eta: 1 day, 0:34:09 time: 0.4423 data_time: 0.0176 memory: 17087 grad_norm: 6.4556 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9870 loss: 0.9870 2022/08/04 19:09:09 - mmengine - INFO - Epoch(train) [148][340/1879] lr: 1.0000e-04 eta: 1 day, 0:34:00 time: 0.4285 data_time: 0.0160 memory: 17087 grad_norm: 6.6179 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8738 loss: 0.8738 2022/08/04 19:09:17 - mmengine - INFO - Epoch(train) [148][360/1879] lr: 1.0000e-04 eta: 1 day, 0:33:51 time: 0.4315 data_time: 0.0185 memory: 17087 grad_norm: 6.3655 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8120 loss: 0.8120 2022/08/04 19:09:26 - mmengine - INFO - Epoch(train) [148][380/1879] lr: 1.0000e-04 eta: 1 day, 0:33:43 time: 0.4462 data_time: 0.0144 memory: 17087 grad_norm: 6.5577 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8814 loss: 0.8814 2022/08/04 19:09:35 - mmengine - INFO - Epoch(train) [148][400/1879] lr: 1.0000e-04 eta: 1 day, 0:33:34 time: 0.4322 data_time: 0.0199 memory: 17087 grad_norm: 6.8400 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8696 loss: 0.8696 2022/08/04 19:09:43 - mmengine - INFO - Epoch(train) [148][420/1879] lr: 1.0000e-04 eta: 1 day, 0:33:26 time: 0.4266 data_time: 0.0134 memory: 17087 grad_norm: 6.5381 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7972 loss: 0.7972 2022/08/04 19:09:52 - mmengine - INFO - Epoch(train) [148][440/1879] lr: 1.0000e-04 eta: 1 day, 0:33:17 time: 0.4305 data_time: 0.0156 memory: 17087 grad_norm: 6.6746 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9175 loss: 0.9175 2022/08/04 19:10:01 - mmengine - INFO - Epoch(train) [148][460/1879] lr: 1.0000e-04 eta: 1 day, 0:33:09 time: 0.4614 data_time: 0.0157 memory: 17087 grad_norm: 6.6003 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7823 loss: 0.7823 2022/08/04 19:10:10 - mmengine - INFO - Epoch(train) [148][480/1879] lr: 1.0000e-04 eta: 1 day, 0:33:00 time: 0.4300 data_time: 0.0167 memory: 17087 grad_norm: 6.2487 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8125 loss: 0.8125 2022/08/04 19:10:18 - mmengine - INFO - Epoch(train) [148][500/1879] lr: 1.0000e-04 eta: 1 day, 0:32:51 time: 0.4319 data_time: 0.0181 memory: 17087 grad_norm: 6.4991 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7556 loss: 0.7556 2022/08/04 19:10:28 - mmengine - INFO - Epoch(train) [148][520/1879] lr: 1.0000e-04 eta: 1 day, 0:32:43 time: 0.4770 data_time: 0.0201 memory: 17087 grad_norm: 6.5907 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9131 loss: 0.9131 2022/08/04 19:10:37 - mmengine - INFO - Epoch(train) [148][540/1879] lr: 1.0000e-04 eta: 1 day, 0:32:35 time: 0.4310 data_time: 0.0162 memory: 17087 grad_norm: 6.8589 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9666 loss: 0.9666 2022/08/04 19:10:45 - mmengine - INFO - Epoch(train) [148][560/1879] lr: 1.0000e-04 eta: 1 day, 0:32:26 time: 0.4303 data_time: 0.0157 memory: 17087 grad_norm: 6.7063 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8247 loss: 0.8247 2022/08/04 19:10:54 - mmengine - INFO - Epoch(train) [148][580/1879] lr: 1.0000e-04 eta: 1 day, 0:32:17 time: 0.4328 data_time: 0.0154 memory: 17087 grad_norm: 6.7345 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8247 loss: 0.8247 2022/08/04 19:11:03 - mmengine - INFO - Epoch(train) [148][600/1879] lr: 1.0000e-04 eta: 1 day, 0:32:09 time: 0.4291 data_time: 0.0186 memory: 17087 grad_norm: 6.6019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8914 loss: 0.8914 2022/08/04 19:11:11 - mmengine - INFO - Epoch(train) [148][620/1879] lr: 1.0000e-04 eta: 1 day, 0:32:00 time: 0.4297 data_time: 0.0138 memory: 17087 grad_norm: 6.3647 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8360 loss: 0.8360 2022/08/04 19:11:20 - mmengine - INFO - Epoch(train) [148][640/1879] lr: 1.0000e-04 eta: 1 day, 0:31:51 time: 0.4379 data_time: 0.0162 memory: 17087 grad_norm: 6.5894 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7696 loss: 0.7696 2022/08/04 19:11:29 - mmengine - INFO - Epoch(train) [148][660/1879] lr: 1.0000e-04 eta: 1 day, 0:31:43 time: 0.4293 data_time: 0.0152 memory: 17087 grad_norm: 6.7684 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8440 loss: 0.8440 2022/08/04 19:11:37 - mmengine - INFO - Epoch(train) [148][680/1879] lr: 1.0000e-04 eta: 1 day, 0:31:34 time: 0.4283 data_time: 0.0182 memory: 17087 grad_norm: 6.4954 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8647 loss: 0.8647 2022/08/04 19:11:46 - mmengine - INFO - Epoch(train) [148][700/1879] lr: 1.0000e-04 eta: 1 day, 0:31:25 time: 0.4278 data_time: 0.0151 memory: 17087 grad_norm: 6.7836 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8320 loss: 0.8320 2022/08/04 19:11:55 - mmengine - INFO - Epoch(train) [148][720/1879] lr: 1.0000e-04 eta: 1 day, 0:31:17 time: 0.4544 data_time: 0.0168 memory: 17087 grad_norm: 6.5464 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7613 loss: 0.7613 2022/08/04 19:12:03 - mmengine - INFO - Epoch(train) [148][740/1879] lr: 1.0000e-04 eta: 1 day, 0:31:08 time: 0.4307 data_time: 0.0147 memory: 17087 grad_norm: 6.6069 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8746 loss: 0.8746 2022/08/04 19:12:12 - mmengine - INFO - Epoch(train) [148][760/1879] lr: 1.0000e-04 eta: 1 day, 0:31:00 time: 0.4358 data_time: 0.0170 memory: 17087 grad_norm: 6.3154 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7989 loss: 0.7989 2022/08/04 19:12:21 - mmengine - INFO - Epoch(train) [148][780/1879] lr: 1.0000e-04 eta: 1 day, 0:30:51 time: 0.4298 data_time: 0.0157 memory: 17087 grad_norm: 6.6590 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7832 loss: 0.7832 2022/08/04 19:12:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 19:12:29 - mmengine - INFO - Epoch(train) [148][800/1879] lr: 1.0000e-04 eta: 1 day, 0:30:42 time: 0.4288 data_time: 0.0152 memory: 17087 grad_norm: 6.5907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0109 loss: 1.0109 2022/08/04 19:12:38 - mmengine - INFO - Epoch(train) [148][820/1879] lr: 1.0000e-04 eta: 1 day, 0:30:34 time: 0.4324 data_time: 0.0167 memory: 17087 grad_norm: 6.6270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8683 loss: 0.8683 2022/08/04 19:12:47 - mmengine - INFO - Epoch(train) [148][840/1879] lr: 1.0000e-04 eta: 1 day, 0:30:25 time: 0.4293 data_time: 0.0160 memory: 17087 grad_norm: 6.6719 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7205 loss: 0.7205 2022/08/04 19:12:55 - mmengine - INFO - Epoch(train) [148][860/1879] lr: 1.0000e-04 eta: 1 day, 0:30:16 time: 0.4366 data_time: 0.0163 memory: 17087 grad_norm: 6.7074 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0208 loss: 1.0208 2022/08/04 19:13:04 - mmengine - INFO - Epoch(train) [148][880/1879] lr: 1.0000e-04 eta: 1 day, 0:30:08 time: 0.4357 data_time: 0.0157 memory: 17087 grad_norm: 6.6805 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7979 loss: 0.7979 2022/08/04 19:13:13 - mmengine - INFO - Epoch(train) [148][900/1879] lr: 1.0000e-04 eta: 1 day, 0:29:59 time: 0.4407 data_time: 0.0146 memory: 17087 grad_norm: 6.6250 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9462 loss: 0.9462 2022/08/04 19:13:22 - mmengine - INFO - Epoch(train) [148][920/1879] lr: 1.0000e-04 eta: 1 day, 0:29:51 time: 0.4305 data_time: 0.0161 memory: 17087 grad_norm: 6.6492 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8359 loss: 0.8359 2022/08/04 19:13:30 - mmengine - INFO - Epoch(train) [148][940/1879] lr: 1.0000e-04 eta: 1 day, 0:29:42 time: 0.4364 data_time: 0.0137 memory: 17087 grad_norm: 6.8102 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8518 loss: 0.8518 2022/08/04 19:13:39 - mmengine - INFO - Epoch(train) [148][960/1879] lr: 1.0000e-04 eta: 1 day, 0:29:33 time: 0.4286 data_time: 0.0164 memory: 17087 grad_norm: 6.6207 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9262 loss: 0.9262 2022/08/04 19:13:48 - mmengine - INFO - Epoch(train) [148][980/1879] lr: 1.0000e-04 eta: 1 day, 0:29:25 time: 0.4295 data_time: 0.0156 memory: 17087 grad_norm: 6.5088 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8578 loss: 0.8578 2022/08/04 19:13:56 - mmengine - INFO - Epoch(train) [148][1000/1879] lr: 1.0000e-04 eta: 1 day, 0:29:16 time: 0.4420 data_time: 0.0165 memory: 17087 grad_norm: 6.5033 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0235 loss: 1.0235 2022/08/04 19:14:05 - mmengine - INFO - Epoch(train) [148][1020/1879] lr: 1.0000e-04 eta: 1 day, 0:29:07 time: 0.4298 data_time: 0.0155 memory: 17087 grad_norm: 6.5926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8863 loss: 0.8863 2022/08/04 19:14:14 - mmengine - INFO - Epoch(train) [148][1040/1879] lr: 1.0000e-04 eta: 1 day, 0:28:59 time: 0.4476 data_time: 0.0173 memory: 17087 grad_norm: 6.6881 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8416 loss: 0.8416 2022/08/04 19:14:23 - mmengine - INFO - Epoch(train) [148][1060/1879] lr: 1.0000e-04 eta: 1 day, 0:28:50 time: 0.4284 data_time: 0.0145 memory: 17087 grad_norm: 6.4793 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8496 loss: 0.8496 2022/08/04 19:14:31 - mmengine - INFO - Epoch(train) [148][1080/1879] lr: 1.0000e-04 eta: 1 day, 0:28:42 time: 0.4386 data_time: 0.0177 memory: 17087 grad_norm: 6.4950 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9345 loss: 0.9345 2022/08/04 19:14:40 - mmengine - INFO - Epoch(train) [148][1100/1879] lr: 1.0000e-04 eta: 1 day, 0:28:33 time: 0.4269 data_time: 0.0135 memory: 17087 grad_norm: 6.6208 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9188 loss: 0.9188 2022/08/04 19:14:48 - mmengine - INFO - Epoch(train) [148][1120/1879] lr: 1.0000e-04 eta: 1 day, 0:28:24 time: 0.4283 data_time: 0.0168 memory: 17087 grad_norm: 6.7785 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8532 loss: 0.8532 2022/08/04 19:14:57 - mmengine - INFO - Epoch(train) [148][1140/1879] lr: 1.0000e-04 eta: 1 day, 0:28:16 time: 0.4338 data_time: 0.0163 memory: 17087 grad_norm: 6.4935 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9736 loss: 0.9736 2022/08/04 19:15:06 - mmengine - INFO - Epoch(train) [148][1160/1879] lr: 1.0000e-04 eta: 1 day, 0:28:07 time: 0.4291 data_time: 0.0164 memory: 17087 grad_norm: 6.8786 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8923 loss: 0.8923 2022/08/04 19:15:15 - mmengine - INFO - Epoch(train) [148][1180/1879] lr: 1.0000e-04 eta: 1 day, 0:27:58 time: 0.4369 data_time: 0.0144 memory: 17087 grad_norm: 6.4316 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8173 loss: 0.8173 2022/08/04 19:15:23 - mmengine - INFO - Epoch(train) [148][1200/1879] lr: 1.0000e-04 eta: 1 day, 0:27:50 time: 0.4314 data_time: 0.0188 memory: 17087 grad_norm: 6.3777 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8267 loss: 0.8267 2022/08/04 19:15:32 - mmengine - INFO - Epoch(train) [148][1220/1879] lr: 1.0000e-04 eta: 1 day, 0:27:41 time: 0.4287 data_time: 0.0149 memory: 17087 grad_norm: 6.3463 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8143 loss: 0.8143 2022/08/04 19:15:40 - mmengine - INFO - Epoch(train) [148][1240/1879] lr: 1.0000e-04 eta: 1 day, 0:27:32 time: 0.4274 data_time: 0.0158 memory: 17087 grad_norm: 7.0370 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9865 loss: 0.9865 2022/08/04 19:15:49 - mmengine - INFO - Epoch(train) [148][1260/1879] lr: 1.0000e-04 eta: 1 day, 0:27:23 time: 0.4266 data_time: 0.0153 memory: 17087 grad_norm: 6.5543 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9910 loss: 0.9910 2022/08/04 19:15:58 - mmengine - INFO - Epoch(train) [148][1280/1879] lr: 1.0000e-04 eta: 1 day, 0:27:15 time: 0.4592 data_time: 0.0169 memory: 17087 grad_norm: 6.3549 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9150 loss: 0.9150 2022/08/04 19:16:07 - mmengine - INFO - Epoch(train) [148][1300/1879] lr: 1.0000e-04 eta: 1 day, 0:27:07 time: 0.4336 data_time: 0.0136 memory: 17087 grad_norm: 6.5637 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8081 loss: 0.8081 2022/08/04 19:16:15 - mmengine - INFO - Epoch(train) [148][1320/1879] lr: 1.0000e-04 eta: 1 day, 0:26:58 time: 0.4324 data_time: 0.0168 memory: 17087 grad_norm: 6.5700 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7938 loss: 0.7938 2022/08/04 19:16:24 - mmengine - INFO - Epoch(train) [148][1340/1879] lr: 1.0000e-04 eta: 1 day, 0:26:49 time: 0.4320 data_time: 0.0160 memory: 17087 grad_norm: 6.4721 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9212 loss: 0.9212 2022/08/04 19:16:33 - mmengine - INFO - Epoch(train) [148][1360/1879] lr: 1.0000e-04 eta: 1 day, 0:26:40 time: 0.4276 data_time: 0.0148 memory: 17087 grad_norm: 6.6958 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9413 loss: 0.9413 2022/08/04 19:16:42 - mmengine - INFO - Epoch(train) [148][1380/1879] lr: 1.0000e-04 eta: 1 day, 0:26:32 time: 0.4633 data_time: 0.0207 memory: 17087 grad_norm: 6.6271 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8628 loss: 0.8628 2022/08/04 19:16:51 - mmengine - INFO - Epoch(train) [148][1400/1879] lr: 1.0000e-04 eta: 1 day, 0:26:24 time: 0.4334 data_time: 0.0194 memory: 17087 grad_norm: 6.6693 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7805 loss: 0.7805 2022/08/04 19:16:59 - mmengine - INFO - Epoch(train) [148][1420/1879] lr: 1.0000e-04 eta: 1 day, 0:26:15 time: 0.4284 data_time: 0.0155 memory: 17087 grad_norm: 6.4193 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7486 loss: 0.7486 2022/08/04 19:17:08 - mmengine - INFO - Epoch(train) [148][1440/1879] lr: 1.0000e-04 eta: 1 day, 0:26:07 time: 0.4493 data_time: 0.0161 memory: 17087 grad_norm: 6.6102 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8620 loss: 0.8620 2022/08/04 19:17:17 - mmengine - INFO - Epoch(train) [148][1460/1879] lr: 1.0000e-04 eta: 1 day, 0:25:58 time: 0.4316 data_time: 0.0191 memory: 17087 grad_norm: 6.6294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0100 loss: 1.0100 2022/08/04 19:17:26 - mmengine - INFO - Epoch(train) [148][1480/1879] lr: 1.0000e-04 eta: 1 day, 0:25:49 time: 0.4372 data_time: 0.0166 memory: 17087 grad_norm: 6.7592 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8695 loss: 0.8695 2022/08/04 19:17:34 - mmengine - INFO - Epoch(train) [148][1500/1879] lr: 1.0000e-04 eta: 1 day, 0:25:41 time: 0.4332 data_time: 0.0188 memory: 17087 grad_norm: 6.7213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8219 loss: 0.8219 2022/08/04 19:17:43 - mmengine - INFO - Epoch(train) [148][1520/1879] lr: 1.0000e-04 eta: 1 day, 0:25:32 time: 0.4299 data_time: 0.0159 memory: 17087 grad_norm: 6.6783 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8946 loss: 0.8946 2022/08/04 19:17:52 - mmengine - INFO - Epoch(train) [148][1540/1879] lr: 1.0000e-04 eta: 1 day, 0:25:23 time: 0.4350 data_time: 0.0168 memory: 17087 grad_norm: 6.2598 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8445 loss: 0.8445 2022/08/04 19:18:00 - mmengine - INFO - Epoch(train) [148][1560/1879] lr: 1.0000e-04 eta: 1 day, 0:25:15 time: 0.4289 data_time: 0.0159 memory: 17087 grad_norm: 6.4743 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7920 loss: 0.7920 2022/08/04 19:18:09 - mmengine - INFO - Epoch(train) [148][1580/1879] lr: 1.0000e-04 eta: 1 day, 0:25:06 time: 0.4322 data_time: 0.0141 memory: 17087 grad_norm: 6.3675 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7630 loss: 0.7630 2022/08/04 19:18:18 - mmengine - INFO - Epoch(train) [148][1600/1879] lr: 1.0000e-04 eta: 1 day, 0:24:57 time: 0.4375 data_time: 0.0219 memory: 17087 grad_norm: 6.6297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8264 loss: 0.8264 2022/08/04 19:18:26 - mmengine - INFO - Epoch(train) [148][1620/1879] lr: 1.0000e-04 eta: 1 day, 0:24:49 time: 0.4350 data_time: 0.0152 memory: 17087 grad_norm: 6.7699 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9092 loss: 0.9092 2022/08/04 19:18:35 - mmengine - INFO - Epoch(train) [148][1640/1879] lr: 1.0000e-04 eta: 1 day, 0:24:40 time: 0.4536 data_time: 0.0178 memory: 17087 grad_norm: 6.5585 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7999 loss: 0.7999 2022/08/04 19:18:44 - mmengine - INFO - Epoch(train) [148][1660/1879] lr: 1.0000e-04 eta: 1 day, 0:24:32 time: 0.4318 data_time: 0.0160 memory: 17087 grad_norm: 6.7767 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8846 loss: 0.8846 2022/08/04 19:18:53 - mmengine - INFO - Epoch(train) [148][1680/1879] lr: 1.0000e-04 eta: 1 day, 0:24:23 time: 0.4297 data_time: 0.0164 memory: 17087 grad_norm: 6.6627 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8573 loss: 0.8573 2022/08/04 19:19:01 - mmengine - INFO - Epoch(train) [148][1700/1879] lr: 1.0000e-04 eta: 1 day, 0:24:14 time: 0.4334 data_time: 0.0166 memory: 17087 grad_norm: 6.5952 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9054 loss: 0.9054 2022/08/04 19:19:10 - mmengine - INFO - Epoch(train) [148][1720/1879] lr: 1.0000e-04 eta: 1 day, 0:24:06 time: 0.4291 data_time: 0.0160 memory: 17087 grad_norm: 6.7358 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9603 loss: 0.9603 2022/08/04 19:19:19 - mmengine - INFO - Epoch(train) [148][1740/1879] lr: 1.0000e-04 eta: 1 day, 0:23:57 time: 0.4298 data_time: 0.0147 memory: 17087 grad_norm: 6.7448 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8929 loss: 0.8929 2022/08/04 19:19:27 - mmengine - INFO - Epoch(train) [148][1760/1879] lr: 1.0000e-04 eta: 1 day, 0:23:49 time: 0.4420 data_time: 0.0177 memory: 17087 grad_norm: 6.7307 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7355 loss: 0.7355 2022/08/04 19:19:36 - mmengine - INFO - Epoch(train) [148][1780/1879] lr: 1.0000e-04 eta: 1 day, 0:23:40 time: 0.4475 data_time: 0.0176 memory: 17087 grad_norm: 6.8245 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0417 loss: 1.0417 2022/08/04 19:19:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 19:19:45 - mmengine - INFO - Epoch(train) [148][1800/1879] lr: 1.0000e-04 eta: 1 day, 0:23:32 time: 0.4399 data_time: 0.0160 memory: 17087 grad_norm: 6.4948 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8473 loss: 0.8473 2022/08/04 19:19:54 - mmengine - INFO - Epoch(train) [148][1820/1879] lr: 1.0000e-04 eta: 1 day, 0:23:23 time: 0.4300 data_time: 0.0136 memory: 17087 grad_norm: 6.7447 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0425 loss: 1.0425 2022/08/04 19:20:03 - mmengine - INFO - Epoch(train) [148][1840/1879] lr: 1.0000e-04 eta: 1 day, 0:23:14 time: 0.4452 data_time: 0.0176 memory: 17087 grad_norm: 6.6565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7371 loss: 0.7371 2022/08/04 19:20:11 - mmengine - INFO - Epoch(train) [148][1860/1879] lr: 1.0000e-04 eta: 1 day, 0:23:06 time: 0.4278 data_time: 0.0132 memory: 17087 grad_norm: 6.6682 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8983 loss: 0.8983 2022/08/04 19:20:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 19:20:19 - mmengine - INFO - Epoch(train) [148][1879/1879] lr: 1.0000e-04 eta: 1 day, 0:23:06 time: 0.4089 data_time: 0.0153 memory: 17087 grad_norm: 6.9654 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.9549 loss: 0.9549 2022/08/04 19:20:19 - mmengine - INFO - Saving checkpoint at 148 epochs 2022/08/04 19:20:34 - mmengine - INFO - Epoch(train) [149][20/1879] lr: 1.0000e-04 eta: 1 day, 0:22:44 time: 0.5233 data_time: 0.1040 memory: 17087 grad_norm: 6.3706 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8057 loss: 0.8057 2022/08/04 19:20:42 - mmengine - INFO - Epoch(train) [149][40/1879] lr: 1.0000e-04 eta: 1 day, 0:22:36 time: 0.4408 data_time: 0.0192 memory: 17087 grad_norm: 6.8539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8995 loss: 0.8995 2022/08/04 19:20:51 - mmengine - INFO - Epoch(train) [149][60/1879] lr: 1.0000e-04 eta: 1 day, 0:22:27 time: 0.4291 data_time: 0.0147 memory: 17087 grad_norm: 6.6400 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7725 loss: 0.7725 2022/08/04 19:21:00 - mmengine - INFO - Epoch(train) [149][80/1879] lr: 1.0000e-04 eta: 1 day, 0:22:18 time: 0.4291 data_time: 0.0168 memory: 17087 grad_norm: 6.4396 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8283 loss: 0.8283 2022/08/04 19:21:08 - mmengine - INFO - Epoch(train) [149][100/1879] lr: 1.0000e-04 eta: 1 day, 0:22:10 time: 0.4293 data_time: 0.0152 memory: 17087 grad_norm: 6.5005 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9499 loss: 0.9499 2022/08/04 19:21:17 - mmengine - INFO - Epoch(train) [149][120/1879] lr: 1.0000e-04 eta: 1 day, 0:22:01 time: 0.4298 data_time: 0.0166 memory: 17087 grad_norm: 6.4276 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7697 loss: 0.7697 2022/08/04 19:21:25 - mmengine - INFO - Epoch(train) [149][140/1879] lr: 1.0000e-04 eta: 1 day, 0:21:52 time: 0.4287 data_time: 0.0158 memory: 17087 grad_norm: 6.6762 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8396 loss: 0.8396 2022/08/04 19:21:34 - mmengine - INFO - Epoch(train) [149][160/1879] lr: 1.0000e-04 eta: 1 day, 0:21:43 time: 0.4295 data_time: 0.0168 memory: 17087 grad_norm: 6.4253 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9650 loss: 0.9650 2022/08/04 19:21:43 - mmengine - INFO - Epoch(train) [149][180/1879] lr: 1.0000e-04 eta: 1 day, 0:21:35 time: 0.4381 data_time: 0.0148 memory: 17087 grad_norm: 6.7014 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8880 loss: 0.8880 2022/08/04 19:21:51 - mmengine - INFO - Epoch(train) [149][200/1879] lr: 1.0000e-04 eta: 1 day, 0:21:26 time: 0.4295 data_time: 0.0168 memory: 17087 grad_norm: 6.8077 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8786 loss: 0.8786 2022/08/04 19:22:00 - mmengine - INFO - Epoch(train) [149][220/1879] lr: 1.0000e-04 eta: 1 day, 0:21:17 time: 0.4266 data_time: 0.0132 memory: 17087 grad_norm: 6.5978 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9349 loss: 0.9349 2022/08/04 19:22:09 - mmengine - INFO - Epoch(train) [149][240/1879] lr: 1.0000e-04 eta: 1 day, 0:21:09 time: 0.4300 data_time: 0.0159 memory: 17087 grad_norm: 6.4665 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8255 loss: 0.8255 2022/08/04 19:22:17 - mmengine - INFO - Epoch(train) [149][260/1879] lr: 1.0000e-04 eta: 1 day, 0:21:00 time: 0.4345 data_time: 0.0145 memory: 17087 grad_norm: 6.7207 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8432 loss: 0.8432 2022/08/04 19:22:26 - mmengine - INFO - Epoch(train) [149][280/1879] lr: 1.0000e-04 eta: 1 day, 0:20:51 time: 0.4287 data_time: 0.0153 memory: 17087 grad_norm: 6.8625 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9370 loss: 0.9370 2022/08/04 19:22:34 - mmengine - INFO - Epoch(train) [149][300/1879] lr: 1.0000e-04 eta: 1 day, 0:20:43 time: 0.4306 data_time: 0.0147 memory: 17087 grad_norm: 6.6384 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9182 loss: 0.9182 2022/08/04 19:22:43 - mmengine - INFO - Epoch(train) [149][320/1879] lr: 1.0000e-04 eta: 1 day, 0:20:34 time: 0.4295 data_time: 0.0159 memory: 17087 grad_norm: 6.7664 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8731 loss: 0.8731 2022/08/04 19:22:52 - mmengine - INFO - Epoch(train) [149][340/1879] lr: 1.0000e-04 eta: 1 day, 0:20:25 time: 0.4332 data_time: 0.0159 memory: 17087 grad_norm: 6.4120 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9433 loss: 0.9433 2022/08/04 19:23:00 - mmengine - INFO - Epoch(train) [149][360/1879] lr: 1.0000e-04 eta: 1 day, 0:20:17 time: 0.4285 data_time: 0.0175 memory: 17087 grad_norm: 6.6353 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9367 loss: 0.9367 2022/08/04 19:23:09 - mmengine - INFO - Epoch(train) [149][380/1879] lr: 1.0000e-04 eta: 1 day, 0:20:08 time: 0.4293 data_time: 0.0166 memory: 17087 grad_norm: 6.3629 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7924 loss: 0.7924 2022/08/04 19:23:18 - mmengine - INFO - Epoch(train) [149][400/1879] lr: 1.0000e-04 eta: 1 day, 0:19:59 time: 0.4394 data_time: 0.0161 memory: 17087 grad_norm: 6.5263 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9556 loss: 0.9556 2022/08/04 19:23:26 - mmengine - INFO - Epoch(train) [149][420/1879] lr: 1.0000e-04 eta: 1 day, 0:19:51 time: 0.4333 data_time: 0.0154 memory: 17087 grad_norm: 6.6114 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7055 loss: 0.7055 2022/08/04 19:23:35 - mmengine - INFO - Epoch(train) [149][440/1879] lr: 1.0000e-04 eta: 1 day, 0:19:42 time: 0.4351 data_time: 0.0163 memory: 17087 grad_norm: 6.6298 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8060 loss: 0.8060 2022/08/04 19:23:44 - mmengine - INFO - Epoch(train) [149][460/1879] lr: 1.0000e-04 eta: 1 day, 0:19:34 time: 0.4318 data_time: 0.0128 memory: 17087 grad_norm: 6.5620 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7322 loss: 0.7322 2022/08/04 19:23:52 - mmengine - INFO - Epoch(train) [149][480/1879] lr: 1.0000e-04 eta: 1 day, 0:19:25 time: 0.4325 data_time: 0.0175 memory: 17087 grad_norm: 6.4281 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9622 loss: 0.9622 2022/08/04 19:24:01 - mmengine - INFO - Epoch(train) [149][500/1879] lr: 1.0000e-04 eta: 1 day, 0:19:16 time: 0.4420 data_time: 0.0140 memory: 17087 grad_norm: 6.4949 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9189 loss: 0.9189 2022/08/04 19:24:10 - mmengine - INFO - Epoch(train) [149][520/1879] lr: 1.0000e-04 eta: 1 day, 0:19:08 time: 0.4283 data_time: 0.0184 memory: 17087 grad_norm: 6.5377 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9198 loss: 0.9198 2022/08/04 19:24:19 - mmengine - INFO - Epoch(train) [149][540/1879] lr: 1.0000e-04 eta: 1 day, 0:18:59 time: 0.4352 data_time: 0.0199 memory: 17087 grad_norm: 6.5144 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0211 loss: 1.0211 2022/08/04 19:24:27 - mmengine - INFO - Epoch(train) [149][560/1879] lr: 1.0000e-04 eta: 1 day, 0:18:50 time: 0.4301 data_time: 0.0157 memory: 17087 grad_norm: 6.6961 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9063 loss: 0.9063 2022/08/04 19:24:36 - mmengine - INFO - Epoch(train) [149][580/1879] lr: 1.0000e-04 eta: 1 day, 0:18:42 time: 0.4423 data_time: 0.0143 memory: 17087 grad_norm: 6.6210 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7816 loss: 0.7816 2022/08/04 19:24:45 - mmengine - INFO - Epoch(train) [149][600/1879] lr: 1.0000e-04 eta: 1 day, 0:18:33 time: 0.4297 data_time: 0.0161 memory: 17087 grad_norm: 6.4092 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8020 loss: 0.8020 2022/08/04 19:24:53 - mmengine - INFO - Epoch(train) [149][620/1879] lr: 1.0000e-04 eta: 1 day, 0:18:25 time: 0.4329 data_time: 0.0199 memory: 17087 grad_norm: 6.6959 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8138 loss: 0.8138 2022/08/04 19:25:02 - mmengine - INFO - Epoch(train) [149][640/1879] lr: 1.0000e-04 eta: 1 day, 0:18:16 time: 0.4454 data_time: 0.0170 memory: 17087 grad_norm: 6.6462 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8846 loss: 0.8846 2022/08/04 19:25:11 - mmengine - INFO - Epoch(train) [149][660/1879] lr: 1.0000e-04 eta: 1 day, 0:18:07 time: 0.4268 data_time: 0.0140 memory: 17087 grad_norm: 6.6897 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8351 loss: 0.8351 2022/08/04 19:25:20 - mmengine - INFO - Epoch(train) [149][680/1879] lr: 1.0000e-04 eta: 1 day, 0:17:59 time: 0.4386 data_time: 0.0155 memory: 17087 grad_norm: 6.7334 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8961 loss: 0.8961 2022/08/04 19:25:28 - mmengine - INFO - Epoch(train) [149][700/1879] lr: 1.0000e-04 eta: 1 day, 0:17:50 time: 0.4278 data_time: 0.0155 memory: 17087 grad_norm: 6.7259 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9804 loss: 0.9804 2022/08/04 19:25:37 - mmengine - INFO - Epoch(train) [149][720/1879] lr: 1.0000e-04 eta: 1 day, 0:17:41 time: 0.4328 data_time: 0.0158 memory: 17087 grad_norm: 6.6618 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8811 loss: 0.8811 2022/08/04 19:25:45 - mmengine - INFO - Epoch(train) [149][740/1879] lr: 1.0000e-04 eta: 1 day, 0:17:33 time: 0.4278 data_time: 0.0157 memory: 17087 grad_norm: 6.6097 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9560 loss: 0.9560 2022/08/04 19:25:54 - mmengine - INFO - Epoch(train) [149][760/1879] lr: 1.0000e-04 eta: 1 day, 0:17:24 time: 0.4323 data_time: 0.0179 memory: 17087 grad_norm: 6.6467 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8471 loss: 0.8471 2022/08/04 19:26:03 - mmengine - INFO - Epoch(train) [149][780/1879] lr: 1.0000e-04 eta: 1 day, 0:17:15 time: 0.4326 data_time: 0.0129 memory: 17087 grad_norm: 6.5925 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6930 loss: 0.6930 2022/08/04 19:26:12 - mmengine - INFO - Epoch(train) [149][800/1879] lr: 1.0000e-04 eta: 1 day, 0:17:07 time: 0.4488 data_time: 0.0175 memory: 17087 grad_norm: 6.7321 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9874 loss: 0.9874 2022/08/04 19:26:20 - mmengine - INFO - Epoch(train) [149][820/1879] lr: 1.0000e-04 eta: 1 day, 0:16:58 time: 0.4265 data_time: 0.0150 memory: 17087 grad_norm: 6.4029 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9688 loss: 0.9688 2022/08/04 19:26:29 - mmengine - INFO - Epoch(train) [149][840/1879] lr: 1.0000e-04 eta: 1 day, 0:16:50 time: 0.4292 data_time: 0.0159 memory: 17087 grad_norm: 6.5160 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9263 loss: 0.9263 2022/08/04 19:26:38 - mmengine - INFO - Epoch(train) [149][860/1879] lr: 1.0000e-04 eta: 1 day, 0:16:41 time: 0.4358 data_time: 0.0167 memory: 17087 grad_norm: 6.6323 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9591 loss: 0.9591 2022/08/04 19:26:46 - mmengine - INFO - Epoch(train) [149][880/1879] lr: 1.0000e-04 eta: 1 day, 0:16:32 time: 0.4283 data_time: 0.0152 memory: 17087 grad_norm: 6.6559 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9247 loss: 0.9247 2022/08/04 19:26:55 - mmengine - INFO - Epoch(train) [149][900/1879] lr: 1.0000e-04 eta: 1 day, 0:16:24 time: 0.4356 data_time: 0.0171 memory: 17087 grad_norm: 6.6659 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8034 loss: 0.8034 2022/08/04 19:26:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 19:27:04 - mmengine - INFO - Epoch(train) [149][920/1879] lr: 1.0000e-04 eta: 1 day, 0:16:15 time: 0.4303 data_time: 0.0176 memory: 17087 grad_norm: 6.6281 top1_acc: 0.3750 top5_acc: 0.7500 loss_cls: 1.1126 loss: 1.1126 2022/08/04 19:27:12 - mmengine - INFO - Epoch(train) [149][940/1879] lr: 1.0000e-04 eta: 1 day, 0:16:06 time: 0.4277 data_time: 0.0147 memory: 17087 grad_norm: 6.7771 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8918 loss: 0.8918 2022/08/04 19:27:21 - mmengine - INFO - Epoch(train) [149][960/1879] lr: 1.0000e-04 eta: 1 day, 0:15:57 time: 0.4290 data_time: 0.0162 memory: 17087 grad_norm: 6.6375 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8967 loss: 0.8967 2022/08/04 19:27:29 - mmengine - INFO - Epoch(train) [149][980/1879] lr: 1.0000e-04 eta: 1 day, 0:15:49 time: 0.4308 data_time: 0.0174 memory: 17087 grad_norm: 6.7880 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9193 loss: 0.9193 2022/08/04 19:27:38 - mmengine - INFO - Epoch(train) [149][1000/1879] lr: 1.0000e-04 eta: 1 day, 0:15:40 time: 0.4451 data_time: 0.0180 memory: 17087 grad_norm: 6.6481 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0013 loss: 1.0013 2022/08/04 19:27:47 - mmengine - INFO - Epoch(train) [149][1020/1879] lr: 1.0000e-04 eta: 1 day, 0:15:32 time: 0.4320 data_time: 0.0148 memory: 17087 grad_norm: 6.6211 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8252 loss: 0.8252 2022/08/04 19:27:56 - mmengine - INFO - Epoch(train) [149][1040/1879] lr: 1.0000e-04 eta: 1 day, 0:15:23 time: 0.4332 data_time: 0.0182 memory: 17087 grad_norm: 6.5178 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9518 loss: 0.9518 2022/08/04 19:28:05 - mmengine - INFO - Epoch(train) [149][1060/1879] lr: 1.0000e-04 eta: 1 day, 0:15:15 time: 0.4534 data_time: 0.0150 memory: 17087 grad_norm: 6.6726 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8107 loss: 0.8107 2022/08/04 19:28:13 - mmengine - INFO - Epoch(train) [149][1080/1879] lr: 1.0000e-04 eta: 1 day, 0:15:06 time: 0.4306 data_time: 0.0163 memory: 17087 grad_norm: 6.5732 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9100 loss: 0.9100 2022/08/04 19:28:26 - mmengine - INFO - Epoch(train) [149][1100/1879] lr: 1.0000e-04 eta: 1 day, 0:15:00 time: 0.6347 data_time: 0.0460 memory: 17087 grad_norm: 6.5535 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7668 loss: 0.7668 2022/08/04 19:28:35 - mmengine - INFO - Epoch(train) [149][1120/1879] lr: 1.0000e-04 eta: 1 day, 0:14:52 time: 0.4314 data_time: 0.0190 memory: 17087 grad_norm: 6.6461 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0652 loss: 1.0652 2022/08/04 19:28:44 - mmengine - INFO - Epoch(train) [149][1140/1879] lr: 1.0000e-04 eta: 1 day, 0:14:43 time: 0.4496 data_time: 0.0195 memory: 17087 grad_norm: 6.4954 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9266 loss: 0.9266 2022/08/04 19:28:52 - mmengine - INFO - Epoch(train) [149][1160/1879] lr: 1.0000e-04 eta: 1 day, 0:14:35 time: 0.4337 data_time: 0.0212 memory: 17087 grad_norm: 6.3490 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6716 loss: 0.6716 2022/08/04 19:29:01 - mmengine - INFO - Epoch(train) [149][1180/1879] lr: 1.0000e-04 eta: 1 day, 0:14:26 time: 0.4316 data_time: 0.0173 memory: 17087 grad_norm: 6.5745 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9162 loss: 0.9162 2022/08/04 19:29:10 - mmengine - INFO - Epoch(train) [149][1200/1879] lr: 1.0000e-04 eta: 1 day, 0:14:17 time: 0.4291 data_time: 0.0161 memory: 17087 grad_norm: 6.7180 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8282 loss: 0.8282 2022/08/04 19:29:18 - mmengine - INFO - Epoch(train) [149][1220/1879] lr: 1.0000e-04 eta: 1 day, 0:14:09 time: 0.4312 data_time: 0.0180 memory: 17087 grad_norm: 6.6413 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7063 loss: 0.7063 2022/08/04 19:29:27 - mmengine - INFO - Epoch(train) [149][1240/1879] lr: 1.0000e-04 eta: 1 day, 0:14:00 time: 0.4296 data_time: 0.0159 memory: 17087 grad_norm: 6.5277 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7728 loss: 0.7728 2022/08/04 19:29:36 - mmengine - INFO - Epoch(train) [149][1260/1879] lr: 1.0000e-04 eta: 1 day, 0:13:51 time: 0.4300 data_time: 0.0138 memory: 17087 grad_norm: 6.6494 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9801 loss: 0.9801 2022/08/04 19:29:44 - mmengine - INFO - Epoch(train) [149][1280/1879] lr: 1.0000e-04 eta: 1 day, 0:13:42 time: 0.4306 data_time: 0.0155 memory: 17087 grad_norm: 6.7594 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0401 loss: 1.0401 2022/08/04 19:29:53 - mmengine - INFO - Epoch(train) [149][1300/1879] lr: 1.0000e-04 eta: 1 day, 0:13:34 time: 0.4295 data_time: 0.0160 memory: 17087 grad_norm: 6.5319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0528 loss: 1.0528 2022/08/04 19:30:01 - mmengine - INFO - Epoch(train) [149][1320/1879] lr: 1.0000e-04 eta: 1 day, 0:13:25 time: 0.4323 data_time: 0.0173 memory: 17087 grad_norm: 6.6712 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9399 loss: 0.9399 2022/08/04 19:30:10 - mmengine - INFO - Epoch(train) [149][1340/1879] lr: 1.0000e-04 eta: 1 day, 0:13:16 time: 0.4281 data_time: 0.0141 memory: 17087 grad_norm: 6.6131 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6423 loss: 0.6423 2022/08/04 19:30:19 - mmengine - INFO - Epoch(train) [149][1360/1879] lr: 1.0000e-04 eta: 1 day, 0:13:08 time: 0.4439 data_time: 0.0178 memory: 17087 grad_norm: 6.4836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9359 loss: 0.9359 2022/08/04 19:30:27 - mmengine - INFO - Epoch(train) [149][1380/1879] lr: 1.0000e-04 eta: 1 day, 0:12:59 time: 0.4271 data_time: 0.0142 memory: 17087 grad_norm: 6.7651 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8467 loss: 0.8467 2022/08/04 19:30:37 - mmengine - INFO - Epoch(train) [149][1400/1879] lr: 1.0000e-04 eta: 1 day, 0:12:51 time: 0.4681 data_time: 0.0222 memory: 17087 grad_norm: 6.9096 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8940 loss: 0.8940 2022/08/04 19:30:46 - mmengine - INFO - Epoch(train) [149][1420/1879] lr: 1.0000e-04 eta: 1 day, 0:12:42 time: 0.4336 data_time: 0.0128 memory: 17087 grad_norm: 6.5556 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9724 loss: 0.9724 2022/08/04 19:30:54 - mmengine - INFO - Epoch(train) [149][1440/1879] lr: 1.0000e-04 eta: 1 day, 0:12:34 time: 0.4400 data_time: 0.0174 memory: 17087 grad_norm: 6.6389 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7446 loss: 0.7446 2022/08/04 19:31:03 - mmengine - INFO - Epoch(train) [149][1460/1879] lr: 1.0000e-04 eta: 1 day, 0:12:25 time: 0.4281 data_time: 0.0139 memory: 17087 grad_norm: 6.6888 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9329 loss: 0.9329 2022/08/04 19:31:12 - mmengine - INFO - Epoch(train) [149][1480/1879] lr: 1.0000e-04 eta: 1 day, 0:12:17 time: 0.4325 data_time: 0.0165 memory: 17087 grad_norm: 6.5914 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7809 loss: 0.7809 2022/08/04 19:31:21 - mmengine - INFO - Epoch(train) [149][1500/1879] lr: 1.0000e-04 eta: 1 day, 0:12:08 time: 0.4477 data_time: 0.0144 memory: 17087 grad_norm: 6.6432 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8977 loss: 0.8977 2022/08/04 19:31:29 - mmengine - INFO - Epoch(train) [149][1520/1879] lr: 1.0000e-04 eta: 1 day, 0:11:59 time: 0.4277 data_time: 0.0149 memory: 17087 grad_norm: 6.7007 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9306 loss: 0.9306 2022/08/04 19:31:38 - mmengine - INFO - Epoch(train) [149][1540/1879] lr: 1.0000e-04 eta: 1 day, 0:11:51 time: 0.4320 data_time: 0.0147 memory: 17087 grad_norm: 6.2199 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8377 loss: 0.8377 2022/08/04 19:31:46 - mmengine - INFO - Epoch(train) [149][1560/1879] lr: 1.0000e-04 eta: 1 day, 0:11:42 time: 0.4325 data_time: 0.0199 memory: 17087 grad_norm: 6.8358 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7891 loss: 0.7891 2022/08/04 19:31:56 - mmengine - INFO - Epoch(train) [149][1580/1879] lr: 1.0000e-04 eta: 1 day, 0:11:34 time: 0.4754 data_time: 0.0168 memory: 17087 grad_norm: 6.6319 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9653 loss: 0.9653 2022/08/04 19:32:05 - mmengine - INFO - Epoch(train) [149][1600/1879] lr: 1.0000e-04 eta: 1 day, 0:11:25 time: 0.4313 data_time: 0.0179 memory: 17087 grad_norm: 6.7833 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7827 loss: 0.7827 2022/08/04 19:32:14 - mmengine - INFO - Epoch(train) [149][1620/1879] lr: 1.0000e-04 eta: 1 day, 0:11:17 time: 0.4591 data_time: 0.0155 memory: 17087 grad_norm: 6.4825 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9739 loss: 0.9739 2022/08/04 19:32:23 - mmengine - INFO - Epoch(train) [149][1640/1879] lr: 1.0000e-04 eta: 1 day, 0:11:08 time: 0.4352 data_time: 0.0171 memory: 17087 grad_norm: 6.4138 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9568 loss: 0.9568 2022/08/04 19:32:31 - mmengine - INFO - Epoch(train) [149][1660/1879] lr: 1.0000e-04 eta: 1 day, 0:11:00 time: 0.4267 data_time: 0.0150 memory: 17087 grad_norm: 6.4962 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9061 loss: 0.9061 2022/08/04 19:32:40 - mmengine - INFO - Epoch(train) [149][1680/1879] lr: 1.0000e-04 eta: 1 day, 0:10:51 time: 0.4563 data_time: 0.0175 memory: 17087 grad_norm: 6.7468 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9597 loss: 0.9597 2022/08/04 19:32:49 - mmengine - INFO - Epoch(train) [149][1700/1879] lr: 1.0000e-04 eta: 1 day, 0:10:43 time: 0.4308 data_time: 0.0173 memory: 17087 grad_norm: 6.3964 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7085 loss: 0.7085 2022/08/04 19:32:58 - mmengine - INFO - Epoch(train) [149][1720/1879] lr: 1.0000e-04 eta: 1 day, 0:10:34 time: 0.4309 data_time: 0.0152 memory: 17087 grad_norm: 6.5171 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7630 loss: 0.7630 2022/08/04 19:33:07 - mmengine - INFO - Epoch(train) [149][1740/1879] lr: 1.0000e-04 eta: 1 day, 0:10:26 time: 0.4686 data_time: 0.0191 memory: 17087 grad_norm: 6.6185 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9985 loss: 0.9985 2022/08/04 19:33:16 - mmengine - INFO - Epoch(train) [149][1760/1879] lr: 1.0000e-04 eta: 1 day, 0:10:17 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 6.8470 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8583 loss: 0.8583 2022/08/04 19:33:24 - mmengine - INFO - Epoch(train) [149][1780/1879] lr: 1.0000e-04 eta: 1 day, 0:10:09 time: 0.4481 data_time: 0.0217 memory: 17087 grad_norm: 6.7237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9848 loss: 0.9848 2022/08/04 19:33:33 - mmengine - INFO - Epoch(train) [149][1800/1879] lr: 1.0000e-04 eta: 1 day, 0:10:00 time: 0.4341 data_time: 0.0212 memory: 17087 grad_norm: 6.3900 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7847 loss: 0.7847 2022/08/04 19:33:42 - mmengine - INFO - Epoch(train) [149][1820/1879] lr: 1.0000e-04 eta: 1 day, 0:09:52 time: 0.4331 data_time: 0.0140 memory: 17087 grad_norm: 6.8228 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9172 loss: 0.9172 2022/08/04 19:33:51 - mmengine - INFO - Epoch(train) [149][1840/1879] lr: 1.0000e-04 eta: 1 day, 0:09:43 time: 0.4457 data_time: 0.0164 memory: 17087 grad_norm: 6.5441 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8165 loss: 0.8165 2022/08/04 19:33:59 - mmengine - INFO - Epoch(train) [149][1860/1879] lr: 1.0000e-04 eta: 1 day, 0:09:34 time: 0.4287 data_time: 0.0146 memory: 17087 grad_norm: 6.7161 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9149 loss: 0.9149 2022/08/04 19:34:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 19:34:07 - mmengine - INFO - Epoch(train) [149][1879/1879] lr: 1.0000e-04 eta: 1 day, 0:09:34 time: 0.4179 data_time: 0.0197 memory: 17087 grad_norm: 6.9282 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 0.9230 loss: 0.9230 2022/08/04 19:34:19 - mmengine - INFO - Epoch(train) [150][20/1879] lr: 1.0000e-04 eta: 1 day, 0:09:14 time: 0.5624 data_time: 0.0962 memory: 17087 grad_norm: 6.6452 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9730 loss: 0.9730 2022/08/04 19:34:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 19:34:27 - mmengine - INFO - Epoch(train) [150][40/1879] lr: 1.0000e-04 eta: 1 day, 0:09:05 time: 0.4336 data_time: 0.0171 memory: 17087 grad_norm: 6.7939 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8604 loss: 0.8604 2022/08/04 19:34:36 - mmengine - INFO - Epoch(train) [150][60/1879] lr: 1.0000e-04 eta: 1 day, 0:08:56 time: 0.4308 data_time: 0.0141 memory: 17087 grad_norm: 6.5221 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9726 loss: 0.9726 2022/08/04 19:34:45 - mmengine - INFO - Epoch(train) [150][80/1879] lr: 1.0000e-04 eta: 1 day, 0:08:48 time: 0.4307 data_time: 0.0166 memory: 17087 grad_norm: 6.5451 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7979 loss: 0.7979 2022/08/04 19:34:54 - mmengine - INFO - Epoch(train) [150][100/1879] lr: 1.0000e-04 eta: 1 day, 0:08:39 time: 0.4502 data_time: 0.0139 memory: 17087 grad_norm: 6.5270 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7732 loss: 0.7732 2022/08/04 19:35:02 - mmengine - INFO - Epoch(train) [150][120/1879] lr: 1.0000e-04 eta: 1 day, 0:08:30 time: 0.4339 data_time: 0.0195 memory: 17087 grad_norm: 6.6435 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9835 loss: 0.9835 2022/08/04 19:35:11 - mmengine - INFO - Epoch(train) [150][140/1879] lr: 1.0000e-04 eta: 1 day, 0:08:22 time: 0.4335 data_time: 0.0130 memory: 17087 grad_norm: 6.5678 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8236 loss: 0.8236 2022/08/04 19:35:20 - mmengine - INFO - Epoch(train) [150][160/1879] lr: 1.0000e-04 eta: 1 day, 0:08:13 time: 0.4335 data_time: 0.0165 memory: 17087 grad_norm: 6.6314 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8825 loss: 0.8825 2022/08/04 19:35:28 - mmengine - INFO - Epoch(train) [150][180/1879] lr: 1.0000e-04 eta: 1 day, 0:08:05 time: 0.4339 data_time: 0.0168 memory: 17087 grad_norm: 6.7455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8421 loss: 0.8421 2022/08/04 19:35:37 - mmengine - INFO - Epoch(train) [150][200/1879] lr: 1.0000e-04 eta: 1 day, 0:07:56 time: 0.4379 data_time: 0.0158 memory: 17087 grad_norm: 6.7330 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7188 loss: 0.7188 2022/08/04 19:35:46 - mmengine - INFO - Epoch(train) [150][220/1879] lr: 1.0000e-04 eta: 1 day, 0:07:47 time: 0.4341 data_time: 0.0164 memory: 17087 grad_norm: 6.5679 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8171 loss: 0.8171 2022/08/04 19:35:55 - mmengine - INFO - Epoch(train) [150][240/1879] lr: 1.0000e-04 eta: 1 day, 0:07:39 time: 0.4395 data_time: 0.0205 memory: 17087 grad_norm: 6.8902 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7191 loss: 0.7191 2022/08/04 19:36:03 - mmengine - INFO - Epoch(train) [150][260/1879] lr: 1.0000e-04 eta: 1 day, 0:07:30 time: 0.4390 data_time: 0.0158 memory: 17087 grad_norm: 6.6763 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8642 loss: 0.8642 2022/08/04 19:36:12 - mmengine - INFO - Epoch(train) [150][280/1879] lr: 1.0000e-04 eta: 1 day, 0:07:22 time: 0.4380 data_time: 0.0157 memory: 17087 grad_norm: 6.5951 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0399 loss: 1.0399 2022/08/04 19:36:23 - mmengine - INFO - Epoch(train) [150][300/1879] lr: 1.0000e-04 eta: 1 day, 0:07:14 time: 0.5169 data_time: 0.0172 memory: 17087 grad_norm: 6.3302 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8923 loss: 0.8923 2022/08/04 19:36:31 - mmengine - INFO - Epoch(train) [150][320/1879] lr: 1.0000e-04 eta: 1 day, 0:07:06 time: 0.4314 data_time: 0.0183 memory: 17087 grad_norm: 6.7520 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7842 loss: 0.7842 2022/08/04 19:36:40 - mmengine - INFO - Epoch(train) [150][340/1879] lr: 1.0000e-04 eta: 1 day, 0:06:57 time: 0.4314 data_time: 0.0132 memory: 17087 grad_norm: 6.5561 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0194 loss: 1.0194 2022/08/04 19:36:49 - mmengine - INFO - Epoch(train) [150][360/1879] lr: 1.0000e-04 eta: 1 day, 0:06:48 time: 0.4452 data_time: 0.0170 memory: 17087 grad_norm: 6.7110 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9435 loss: 0.9435 2022/08/04 19:36:57 - mmengine - INFO - Epoch(train) [150][380/1879] lr: 1.0000e-04 eta: 1 day, 0:06:40 time: 0.4263 data_time: 0.0149 memory: 17087 grad_norm: 6.2250 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8810 loss: 0.8810 2022/08/04 19:37:06 - mmengine - INFO - Epoch(train) [150][400/1879] lr: 1.0000e-04 eta: 1 day, 0:06:31 time: 0.4419 data_time: 0.0172 memory: 17087 grad_norm: 6.6320 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9735 loss: 0.9735 2022/08/04 19:37:15 - mmengine - INFO - Epoch(train) [150][420/1879] lr: 1.0000e-04 eta: 1 day, 0:06:22 time: 0.4282 data_time: 0.0140 memory: 17087 grad_norm: 6.7898 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7930 loss: 0.7930 2022/08/04 19:37:24 - mmengine - INFO - Epoch(train) [150][440/1879] lr: 1.0000e-04 eta: 1 day, 0:06:14 time: 0.4391 data_time: 0.0175 memory: 17087 grad_norm: 6.4780 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8577 loss: 0.8577 2022/08/04 19:37:32 - mmengine - INFO - Epoch(train) [150][460/1879] lr: 1.0000e-04 eta: 1 day, 0:06:05 time: 0.4292 data_time: 0.0152 memory: 17087 grad_norm: 6.4314 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9669 loss: 0.9669 2022/08/04 19:37:41 - mmengine - INFO - Epoch(train) [150][480/1879] lr: 1.0000e-04 eta: 1 day, 0:05:57 time: 0.4283 data_time: 0.0161 memory: 17087 grad_norm: 6.4942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7192 loss: 0.7192 2022/08/04 19:37:49 - mmengine - INFO - Epoch(train) [150][500/1879] lr: 1.0000e-04 eta: 1 day, 0:05:48 time: 0.4344 data_time: 0.0165 memory: 17087 grad_norm: 6.7301 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8712 loss: 0.8712 2022/08/04 19:37:58 - mmengine - INFO - Epoch(train) [150][520/1879] lr: 1.0000e-04 eta: 1 day, 0:05:39 time: 0.4306 data_time: 0.0161 memory: 17087 grad_norm: 6.5571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7621 loss: 0.7621 2022/08/04 19:38:07 - mmengine - INFO - Epoch(train) [150][540/1879] lr: 1.0000e-04 eta: 1 day, 0:05:31 time: 0.4361 data_time: 0.0154 memory: 17087 grad_norm: 6.4489 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7843 loss: 0.7843 2022/08/04 19:38:15 - mmengine - INFO - Epoch(train) [150][560/1879] lr: 1.0000e-04 eta: 1 day, 0:05:22 time: 0.4293 data_time: 0.0165 memory: 17087 grad_norm: 6.6162 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7311 loss: 0.7311 2022/08/04 19:38:24 - mmengine - INFO - Epoch(train) [150][580/1879] lr: 1.0000e-04 eta: 1 day, 0:05:13 time: 0.4280 data_time: 0.0170 memory: 17087 grad_norm: 6.4628 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0230 loss: 1.0230 2022/08/04 19:38:33 - mmengine - INFO - Epoch(train) [150][600/1879] lr: 1.0000e-04 eta: 1 day, 0:05:05 time: 0.4321 data_time: 0.0166 memory: 17087 grad_norm: 6.3824 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6411 loss: 0.6411 2022/08/04 19:38:41 - mmengine - INFO - Epoch(train) [150][620/1879] lr: 1.0000e-04 eta: 1 day, 0:04:56 time: 0.4285 data_time: 0.0152 memory: 17087 grad_norm: 6.5430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7810 loss: 0.7810 2022/08/04 19:38:50 - mmengine - INFO - Epoch(train) [150][640/1879] lr: 1.0000e-04 eta: 1 day, 0:04:47 time: 0.4306 data_time: 0.0166 memory: 17087 grad_norm: 6.6126 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7609 loss: 0.7609 2022/08/04 19:38:58 - mmengine - INFO - Epoch(train) [150][660/1879] lr: 1.0000e-04 eta: 1 day, 0:04:38 time: 0.4269 data_time: 0.0132 memory: 17087 grad_norm: 6.6934 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0277 loss: 1.0277 2022/08/04 19:39:07 - mmengine - INFO - Epoch(train) [150][680/1879] lr: 1.0000e-04 eta: 1 day, 0:04:30 time: 0.4319 data_time: 0.0178 memory: 17087 grad_norm: 6.7121 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9538 loss: 0.9538 2022/08/04 19:39:16 - mmengine - INFO - Epoch(train) [150][700/1879] lr: 1.0000e-04 eta: 1 day, 0:04:21 time: 0.4396 data_time: 0.0148 memory: 17087 grad_norm: 6.4122 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8261 loss: 0.8261 2022/08/04 19:39:24 - mmengine - INFO - Epoch(train) [150][720/1879] lr: 1.0000e-04 eta: 1 day, 0:04:13 time: 0.4295 data_time: 0.0157 memory: 17087 grad_norm: 6.6974 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8551 loss: 0.8551 2022/08/04 19:39:33 - mmengine - INFO - Epoch(train) [150][740/1879] lr: 1.0000e-04 eta: 1 day, 0:04:04 time: 0.4352 data_time: 0.0147 memory: 17087 grad_norm: 6.7067 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8148 loss: 0.8148 2022/08/04 19:39:42 - mmengine - INFO - Epoch(train) [150][760/1879] lr: 1.0000e-04 eta: 1 day, 0:03:55 time: 0.4290 data_time: 0.0162 memory: 17087 grad_norm: 6.7563 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9254 loss: 0.9254 2022/08/04 19:39:50 - mmengine - INFO - Epoch(train) [150][780/1879] lr: 1.0000e-04 eta: 1 day, 0:03:46 time: 0.4271 data_time: 0.0138 memory: 17087 grad_norm: 6.7587 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8414 loss: 0.8414 2022/08/04 19:39:59 - mmengine - INFO - Epoch(train) [150][800/1879] lr: 1.0000e-04 eta: 1 day, 0:03:38 time: 0.4368 data_time: 0.0162 memory: 17087 grad_norm: 6.7235 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9982 loss: 0.9982 2022/08/04 19:40:08 - mmengine - INFO - Epoch(train) [150][820/1879] lr: 1.0000e-04 eta: 1 day, 0:03:29 time: 0.4275 data_time: 0.0144 memory: 17087 grad_norm: 6.4335 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8841 loss: 0.8841 2022/08/04 19:40:16 - mmengine - INFO - Epoch(train) [150][840/1879] lr: 1.0000e-04 eta: 1 day, 0:03:20 time: 0.4306 data_time: 0.0168 memory: 17087 grad_norm: 6.6637 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8619 loss: 0.8619 2022/08/04 19:40:25 - mmengine - INFO - Epoch(train) [150][860/1879] lr: 1.0000e-04 eta: 1 day, 0:03:12 time: 0.4277 data_time: 0.0128 memory: 17087 grad_norm: 6.8032 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8931 loss: 0.8931 2022/08/04 19:40:34 - mmengine - INFO - Epoch(train) [150][880/1879] lr: 1.0000e-04 eta: 1 day, 0:03:03 time: 0.4332 data_time: 0.0179 memory: 17087 grad_norm: 6.6975 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8478 loss: 0.8478 2022/08/04 19:40:42 - mmengine - INFO - Epoch(train) [150][900/1879] lr: 1.0000e-04 eta: 1 day, 0:02:54 time: 0.4281 data_time: 0.0144 memory: 17087 grad_norm: 6.5506 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0313 loss: 1.0313 2022/08/04 19:40:51 - mmengine - INFO - Epoch(train) [150][920/1879] lr: 1.0000e-04 eta: 1 day, 0:02:46 time: 0.4301 data_time: 0.0162 memory: 17087 grad_norm: 6.9842 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9193 loss: 0.9193 2022/08/04 19:40:59 - mmengine - INFO - Epoch(train) [150][940/1879] lr: 1.0000e-04 eta: 1 day, 0:02:37 time: 0.4305 data_time: 0.0161 memory: 17087 grad_norm: 6.3684 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8582 loss: 0.8582 2022/08/04 19:41:08 - mmengine - INFO - Epoch(train) [150][960/1879] lr: 1.0000e-04 eta: 1 day, 0:02:28 time: 0.4296 data_time: 0.0169 memory: 17087 grad_norm: 6.7351 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8516 loss: 0.8516 2022/08/04 19:41:17 - mmengine - INFO - Epoch(train) [150][980/1879] lr: 1.0000e-04 eta: 1 day, 0:02:20 time: 0.4527 data_time: 0.0206 memory: 17087 grad_norm: 6.5599 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9367 loss: 0.9367 2022/08/04 19:41:26 - mmengine - INFO - Epoch(train) [150][1000/1879] lr: 1.0000e-04 eta: 1 day, 0:02:11 time: 0.4299 data_time: 0.0160 memory: 17087 grad_norm: 6.8276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8377 loss: 0.8377 2022/08/04 19:41:34 - mmengine - INFO - Epoch(train) [150][1020/1879] lr: 1.0000e-04 eta: 1 day, 0:02:03 time: 0.4398 data_time: 0.0152 memory: 17087 grad_norm: 6.5915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9059 loss: 0.9059 2022/08/04 19:41:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 19:41:43 - mmengine - INFO - Epoch(train) [150][1040/1879] lr: 1.0000e-04 eta: 1 day, 0:01:54 time: 0.4302 data_time: 0.0185 memory: 17087 grad_norm: 6.5904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7505 loss: 0.7505 2022/08/04 19:41:52 - mmengine - INFO - Epoch(train) [150][1060/1879] lr: 1.0000e-04 eta: 1 day, 0:01:45 time: 0.4275 data_time: 0.0126 memory: 17087 grad_norm: 6.4314 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8654 loss: 0.8654 2022/08/04 19:42:00 - mmengine - INFO - Epoch(train) [150][1080/1879] lr: 1.0000e-04 eta: 1 day, 0:01:37 time: 0.4347 data_time: 0.0170 memory: 17087 grad_norm: 6.7300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9011 loss: 0.9011 2022/08/04 19:42:09 - mmengine - INFO - Epoch(train) [150][1100/1879] lr: 1.0000e-04 eta: 1 day, 0:01:28 time: 0.4273 data_time: 0.0133 memory: 17087 grad_norm: 6.5597 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8554 loss: 0.8554 2022/08/04 19:42:18 - mmengine - INFO - Epoch(train) [150][1120/1879] lr: 1.0000e-04 eta: 1 day, 0:01:19 time: 0.4353 data_time: 0.0163 memory: 17087 grad_norm: 6.5555 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9131 loss: 0.9131 2022/08/04 19:42:26 - mmengine - INFO - Epoch(train) [150][1140/1879] lr: 1.0000e-04 eta: 1 day, 0:01:11 time: 0.4283 data_time: 0.0155 memory: 17087 grad_norm: 6.6601 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8332 loss: 0.8332 2022/08/04 19:42:35 - mmengine - INFO - Epoch(train) [150][1160/1879] lr: 1.0000e-04 eta: 1 day, 0:01:02 time: 0.4319 data_time: 0.0170 memory: 17087 grad_norm: 6.6837 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9428 loss: 0.9428 2022/08/04 19:42:43 - mmengine - INFO - Epoch(train) [150][1180/1879] lr: 1.0000e-04 eta: 1 day, 0:00:53 time: 0.4281 data_time: 0.0158 memory: 17087 grad_norm: 6.6635 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8427 loss: 0.8427 2022/08/04 19:42:52 - mmengine - INFO - Epoch(train) [150][1200/1879] lr: 1.0000e-04 eta: 1 day, 0:00:45 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 6.8610 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8896 loss: 0.8896 2022/08/04 19:43:01 - mmengine - INFO - Epoch(train) [150][1220/1879] lr: 1.0000e-04 eta: 1 day, 0:00:36 time: 0.4330 data_time: 0.0147 memory: 17087 grad_norm: 6.7213 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8725 loss: 0.8725 2022/08/04 19:43:09 - mmengine - INFO - Epoch(train) [150][1240/1879] lr: 1.0000e-04 eta: 1 day, 0:00:27 time: 0.4305 data_time: 0.0163 memory: 17087 grad_norm: 6.7350 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9461 loss: 0.9461 2022/08/04 19:43:18 - mmengine - INFO - Epoch(train) [150][1260/1879] lr: 1.0000e-04 eta: 1 day, 0:00:19 time: 0.4340 data_time: 0.0168 memory: 17087 grad_norm: 6.6797 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8055 loss: 0.8055 2022/08/04 19:43:27 - mmengine - INFO - Epoch(train) [150][1280/1879] lr: 1.0000e-04 eta: 1 day, 0:00:10 time: 0.4299 data_time: 0.0162 memory: 17087 grad_norm: 6.7401 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9906 loss: 0.9906 2022/08/04 19:43:36 - mmengine - INFO - Epoch(train) [150][1300/1879] lr: 1.0000e-04 eta: 1 day, 0:00:02 time: 0.4593 data_time: 0.0157 memory: 17087 grad_norm: 6.6895 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9100 loss: 0.9100 2022/08/04 19:43:45 - mmengine - INFO - Epoch(train) [150][1320/1879] lr: 1.0000e-04 eta: 23:59:53 time: 0.4365 data_time: 0.0214 memory: 17087 grad_norm: 6.5859 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8711 loss: 0.8711 2022/08/04 19:43:53 - mmengine - INFO - Epoch(train) [150][1340/1879] lr: 1.0000e-04 eta: 23:59:44 time: 0.4311 data_time: 0.0163 memory: 17087 grad_norm: 6.2975 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8688 loss: 0.8688 2022/08/04 19:44:02 - mmengine - INFO - Epoch(train) [150][1360/1879] lr: 1.0000e-04 eta: 23:59:36 time: 0.4279 data_time: 0.0178 memory: 17087 grad_norm: 6.4237 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7658 loss: 0.7658 2022/08/04 19:44:11 - mmengine - INFO - Epoch(train) [150][1380/1879] lr: 1.0000e-04 eta: 23:59:27 time: 0.4353 data_time: 0.0129 memory: 17087 grad_norm: 6.6766 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8639 loss: 0.8639 2022/08/04 19:44:20 - mmengine - INFO - Epoch(train) [150][1400/1879] lr: 1.0000e-04 eta: 23:59:19 time: 0.4630 data_time: 0.0164 memory: 17087 grad_norm: 6.6579 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9268 loss: 0.9268 2022/08/04 19:44:29 - mmengine - INFO - Epoch(train) [150][1420/1879] lr: 1.0000e-04 eta: 23:59:10 time: 0.4343 data_time: 0.0203 memory: 17087 grad_norm: 6.5690 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9585 loss: 0.9585 2022/08/04 19:44:38 - mmengine - INFO - Epoch(train) [150][1440/1879] lr: 1.0000e-04 eta: 23:59:02 time: 0.4471 data_time: 0.0170 memory: 17087 grad_norm: 6.5578 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8098 loss: 0.8098 2022/08/04 19:44:46 - mmengine - INFO - Epoch(train) [150][1460/1879] lr: 1.0000e-04 eta: 23:58:53 time: 0.4284 data_time: 0.0153 memory: 17087 grad_norm: 6.5074 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9070 loss: 0.9070 2022/08/04 19:44:55 - mmengine - INFO - Epoch(train) [150][1480/1879] lr: 1.0000e-04 eta: 23:58:45 time: 0.4471 data_time: 0.0176 memory: 17087 grad_norm: 6.7566 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7617 loss: 0.7617 2022/08/04 19:45:04 - mmengine - INFO - Epoch(train) [150][1500/1879] lr: 1.0000e-04 eta: 23:58:36 time: 0.4328 data_time: 0.0190 memory: 17087 grad_norm: 6.6056 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8509 loss: 0.8509 2022/08/04 19:45:12 - mmengine - INFO - Epoch(train) [150][1520/1879] lr: 1.0000e-04 eta: 23:58:27 time: 0.4286 data_time: 0.0156 memory: 17087 grad_norm: 6.5927 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8761 loss: 0.8761 2022/08/04 19:45:21 - mmengine - INFO - Epoch(train) [150][1540/1879] lr: 1.0000e-04 eta: 23:58:19 time: 0.4449 data_time: 0.0153 memory: 17087 grad_norm: 6.6606 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7985 loss: 0.7985 2022/08/04 19:45:30 - mmengine - INFO - Epoch(train) [150][1560/1879] lr: 1.0000e-04 eta: 23:58:10 time: 0.4339 data_time: 0.0212 memory: 17087 grad_norm: 6.5002 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8066 loss: 0.8066 2022/08/04 19:45:39 - mmengine - INFO - Epoch(train) [150][1580/1879] lr: 1.0000e-04 eta: 23:58:02 time: 0.4428 data_time: 0.0165 memory: 17087 grad_norm: 6.7280 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7470 loss: 0.7470 2022/08/04 19:45:47 - mmengine - INFO - Epoch(train) [150][1600/1879] lr: 1.0000e-04 eta: 23:57:53 time: 0.4289 data_time: 0.0162 memory: 17087 grad_norm: 6.7070 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9012 loss: 0.9012 2022/08/04 19:45:56 - mmengine - INFO - Epoch(train) [150][1620/1879] lr: 1.0000e-04 eta: 23:57:44 time: 0.4433 data_time: 0.0161 memory: 17087 grad_norm: 6.5521 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8915 loss: 0.8915 2022/08/04 19:46:05 - mmengine - INFO - Epoch(train) [150][1640/1879] lr: 1.0000e-04 eta: 23:57:36 time: 0.4324 data_time: 0.0165 memory: 17087 grad_norm: 6.6772 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7697 loss: 0.7697 2022/08/04 19:46:14 - mmengine - INFO - Epoch(train) [150][1660/1879] lr: 1.0000e-04 eta: 23:57:27 time: 0.4312 data_time: 0.0147 memory: 17087 grad_norm: 6.5041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9242 loss: 0.9242 2022/08/04 19:46:22 - mmengine - INFO - Epoch(train) [150][1680/1879] lr: 1.0000e-04 eta: 23:57:18 time: 0.4292 data_time: 0.0182 memory: 17087 grad_norm: 6.8542 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9477 loss: 0.9477 2022/08/04 19:46:31 - mmengine - INFO - Epoch(train) [150][1700/1879] lr: 1.0000e-04 eta: 23:57:10 time: 0.4276 data_time: 0.0148 memory: 17087 grad_norm: 6.5453 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8281 loss: 0.8281 2022/08/04 19:46:40 - mmengine - INFO - Epoch(train) [150][1720/1879] lr: 1.0000e-04 eta: 23:57:01 time: 0.4513 data_time: 0.0166 memory: 17087 grad_norm: 6.6434 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9680 loss: 0.9680 2022/08/04 19:46:49 - mmengine - INFO - Epoch(train) [150][1740/1879] lr: 1.0000e-04 eta: 23:56:53 time: 0.4336 data_time: 0.0203 memory: 17087 grad_norm: 6.6279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7514 loss: 0.7514 2022/08/04 19:46:58 - mmengine - INFO - Epoch(train) [150][1760/1879] lr: 1.0000e-04 eta: 23:56:44 time: 0.4551 data_time: 0.0169 memory: 17087 grad_norm: 6.7190 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0057 loss: 1.0057 2022/08/04 19:47:06 - mmengine - INFO - Epoch(train) [150][1780/1879] lr: 1.0000e-04 eta: 23:56:36 time: 0.4295 data_time: 0.0148 memory: 17087 grad_norm: 6.7747 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0324 loss: 1.0324 2022/08/04 19:47:15 - mmengine - INFO - Epoch(train) [150][1800/1879] lr: 1.0000e-04 eta: 23:56:27 time: 0.4334 data_time: 0.0167 memory: 17087 grad_norm: 6.6823 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9687 loss: 0.9687 2022/08/04 19:47:23 - mmengine - INFO - Epoch(train) [150][1820/1879] lr: 1.0000e-04 eta: 23:56:18 time: 0.4274 data_time: 0.0149 memory: 17087 grad_norm: 6.5940 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9023 loss: 0.9023 2022/08/04 19:47:32 - mmengine - INFO - Epoch(train) [150][1840/1879] lr: 1.0000e-04 eta: 23:56:10 time: 0.4290 data_time: 0.0165 memory: 17087 grad_norm: 6.5921 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8172 loss: 0.8172 2022/08/04 19:47:41 - mmengine - INFO - Epoch(train) [150][1860/1879] lr: 1.0000e-04 eta: 23:56:01 time: 0.4342 data_time: 0.0158 memory: 17087 grad_norm: 6.8687 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8627 loss: 0.8627 2022/08/04 19:47:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 19:47:49 - mmengine - INFO - Epoch(train) [150][1879/1879] lr: 1.0000e-04 eta: 23:56:01 time: 0.4098 data_time: 0.0147 memory: 17087 grad_norm: 6.7209 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7576 loss: 0.7576 2022/08/04 19:47:56 - mmengine - INFO - Epoch(val) [150][20/155] eta: 0:00:50 time: 0.3764 data_time: 0.2051 memory: 2821 2022/08/04 19:48:01 - mmengine - INFO - Epoch(val) [150][40/155] eta: 0:00:28 time: 0.2476 data_time: 0.0799 memory: 2821 2022/08/04 19:48:07 - mmengine - INFO - Epoch(val) [150][60/155] eta: 0:00:29 time: 0.3059 data_time: 0.1398 memory: 2821 2022/08/04 19:48:13 - mmengine - INFO - Epoch(val) [150][80/155] eta: 0:00:20 time: 0.2789 data_time: 0.1097 memory: 2821 2022/08/04 19:48:19 - mmengine - INFO - Epoch(val) [150][100/155] eta: 0:00:17 time: 0.3198 data_time: 0.1530 memory: 2821 2022/08/04 19:48:24 - mmengine - INFO - Epoch(val) [150][120/155] eta: 0:00:08 time: 0.2571 data_time: 0.0884 memory: 2821 2022/08/04 19:48:31 - mmengine - INFO - Epoch(val) [150][140/155] eta: 0:00:04 time: 0.3245 data_time: 0.1577 memory: 2821 2022/08/04 19:48:36 - mmengine - INFO - Epoch(val) [150][155/155] acc/top1: 0.6980 acc/top5: 0.8824 acc/mean1: 0.6979 2022/08/04 19:48:47 - mmengine - INFO - Epoch(train) [151][20/1879] lr: 1.0000e-04 eta: 23:55:40 time: 0.5578 data_time: 0.1224 memory: 17087 grad_norm: 6.5402 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7592 loss: 0.7592 2022/08/04 19:48:56 - mmengine - INFO - Epoch(train) [151][40/1879] lr: 1.0000e-04 eta: 23:55:32 time: 0.4536 data_time: 0.0237 memory: 17087 grad_norm: 6.5524 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8540 loss: 0.8540 2022/08/04 19:49:05 - mmengine - INFO - Epoch(train) [151][60/1879] lr: 1.0000e-04 eta: 23:55:23 time: 0.4283 data_time: 0.0145 memory: 17087 grad_norm: 6.6446 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7807 loss: 0.7807 2022/08/04 19:49:14 - mmengine - INFO - Epoch(train) [151][80/1879] lr: 1.0000e-04 eta: 23:55:15 time: 0.4585 data_time: 0.0164 memory: 17087 grad_norm: 6.6056 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8975 loss: 0.8975 2022/08/04 19:49:23 - mmengine - INFO - Epoch(train) [151][100/1879] lr: 1.0000e-04 eta: 23:55:06 time: 0.4297 data_time: 0.0137 memory: 17087 grad_norm: 6.8243 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7478 loss: 0.7478 2022/08/04 19:49:31 - mmengine - INFO - Epoch(train) [151][120/1879] lr: 1.0000e-04 eta: 23:54:57 time: 0.4292 data_time: 0.0168 memory: 17087 grad_norm: 6.8211 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9811 loss: 0.9811 2022/08/04 19:49:41 - mmengine - INFO - Epoch(train) [151][140/1879] lr: 1.0000e-04 eta: 23:54:49 time: 0.4620 data_time: 0.0215 memory: 17087 grad_norm: 6.7768 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9689 loss: 0.9689 2022/08/04 19:49:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 19:49:49 - mmengine - INFO - Epoch(train) [151][160/1879] lr: 1.0000e-04 eta: 23:54:40 time: 0.4283 data_time: 0.0159 memory: 17087 grad_norm: 6.6421 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8768 loss: 0.8768 2022/08/04 19:49:58 - mmengine - INFO - Epoch(train) [151][180/1879] lr: 1.0000e-04 eta: 23:54:32 time: 0.4688 data_time: 0.0207 memory: 17087 grad_norm: 6.3642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7609 loss: 0.7609 2022/08/04 19:50:07 - mmengine - INFO - Epoch(train) [151][200/1879] lr: 1.0000e-04 eta: 23:54:24 time: 0.4296 data_time: 0.0166 memory: 17087 grad_norm: 6.6358 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9242 loss: 0.9242 2022/08/04 19:50:16 - mmengine - INFO - Epoch(train) [151][220/1879] lr: 1.0000e-04 eta: 23:54:15 time: 0.4583 data_time: 0.0204 memory: 17087 grad_norm: 6.5832 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9871 loss: 0.9871 2022/08/04 19:50:25 - mmengine - INFO - Epoch(train) [151][240/1879] lr: 1.0000e-04 eta: 23:54:07 time: 0.4283 data_time: 0.0166 memory: 17087 grad_norm: 6.5636 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9634 loss: 0.9634 2022/08/04 19:50:34 - mmengine - INFO - Epoch(train) [151][260/1879] lr: 1.0000e-04 eta: 23:53:58 time: 0.4369 data_time: 0.0173 memory: 17087 grad_norm: 6.4855 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8904 loss: 0.8904 2022/08/04 19:50:42 - mmengine - INFO - Epoch(train) [151][280/1879] lr: 1.0000e-04 eta: 23:53:49 time: 0.4375 data_time: 0.0162 memory: 17087 grad_norm: 6.5800 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8920 loss: 0.8920 2022/08/04 19:50:51 - mmengine - INFO - Epoch(train) [151][300/1879] lr: 1.0000e-04 eta: 23:53:41 time: 0.4308 data_time: 0.0144 memory: 17087 grad_norm: 6.5526 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7896 loss: 0.7896 2022/08/04 19:51:00 - mmengine - INFO - Epoch(train) [151][320/1879] lr: 1.0000e-04 eta: 23:53:33 time: 0.4662 data_time: 0.0310 memory: 17087 grad_norm: 6.5792 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8869 loss: 0.8869 2022/08/04 19:51:09 - mmengine - INFO - Epoch(train) [151][340/1879] lr: 1.0000e-04 eta: 23:53:24 time: 0.4290 data_time: 0.0145 memory: 17087 grad_norm: 6.7676 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0587 loss: 1.0587 2022/08/04 19:51:18 - mmengine - INFO - Epoch(train) [151][360/1879] lr: 1.0000e-04 eta: 23:53:16 time: 0.4604 data_time: 0.0225 memory: 17087 grad_norm: 6.6657 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7414 loss: 0.7414 2022/08/04 19:51:27 - mmengine - INFO - Epoch(train) [151][380/1879] lr: 1.0000e-04 eta: 23:53:07 time: 0.4292 data_time: 0.0136 memory: 17087 grad_norm: 6.8871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7784 loss: 0.7784 2022/08/04 19:51:36 - mmengine - INFO - Epoch(train) [151][400/1879] lr: 1.0000e-04 eta: 23:52:58 time: 0.4428 data_time: 0.0209 memory: 17087 grad_norm: 6.6514 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8352 loss: 0.8352 2022/08/04 19:51:44 - mmengine - INFO - Epoch(train) [151][420/1879] lr: 1.0000e-04 eta: 23:52:50 time: 0.4269 data_time: 0.0136 memory: 17087 grad_norm: 6.6533 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9427 loss: 0.9427 2022/08/04 19:51:53 - mmengine - INFO - Epoch(train) [151][440/1879] lr: 1.0000e-04 eta: 23:52:41 time: 0.4342 data_time: 0.0214 memory: 17087 grad_norm: 6.4620 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8545 loss: 0.8545 2022/08/04 19:52:02 - mmengine - INFO - Epoch(train) [151][460/1879] lr: 1.0000e-04 eta: 23:52:32 time: 0.4345 data_time: 0.0146 memory: 17087 grad_norm: 6.7858 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8757 loss: 0.8757 2022/08/04 19:52:10 - mmengine - INFO - Epoch(train) [151][480/1879] lr: 1.0000e-04 eta: 23:52:24 time: 0.4304 data_time: 0.0174 memory: 17087 grad_norm: 6.5904 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9059 loss: 0.9059 2022/08/04 19:52:19 - mmengine - INFO - Epoch(train) [151][500/1879] lr: 1.0000e-04 eta: 23:52:15 time: 0.4321 data_time: 0.0136 memory: 17087 grad_norm: 6.4304 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7940 loss: 0.7940 2022/08/04 19:52:28 - mmengine - INFO - Epoch(train) [151][520/1879] lr: 1.0000e-04 eta: 23:52:06 time: 0.4310 data_time: 0.0167 memory: 17087 grad_norm: 6.8218 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9699 loss: 0.9699 2022/08/04 19:52:37 - mmengine - INFO - Epoch(train) [151][540/1879] lr: 1.0000e-04 eta: 23:51:58 time: 0.4543 data_time: 0.0170 memory: 17087 grad_norm: 6.5068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9345 loss: 0.9345 2022/08/04 19:52:45 - mmengine - INFO - Epoch(train) [151][560/1879] lr: 1.0000e-04 eta: 23:51:49 time: 0.4288 data_time: 0.0162 memory: 17087 grad_norm: 6.7704 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8252 loss: 0.8252 2022/08/04 19:52:54 - mmengine - INFO - Epoch(train) [151][580/1879] lr: 1.0000e-04 eta: 23:51:41 time: 0.4354 data_time: 0.0139 memory: 17087 grad_norm: 6.6534 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0138 loss: 1.0138 2022/08/04 19:53:03 - mmengine - INFO - Epoch(train) [151][600/1879] lr: 1.0000e-04 eta: 23:51:32 time: 0.4292 data_time: 0.0161 memory: 17087 grad_norm: 6.6015 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8805 loss: 0.8805 2022/08/04 19:53:11 - mmengine - INFO - Epoch(train) [151][620/1879] lr: 1.0000e-04 eta: 23:51:23 time: 0.4305 data_time: 0.0147 memory: 17087 grad_norm: 6.4846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8420 loss: 0.8420 2022/08/04 19:53:20 - mmengine - INFO - Epoch(train) [151][640/1879] lr: 1.0000e-04 eta: 23:51:15 time: 0.4303 data_time: 0.0155 memory: 17087 grad_norm: 6.6133 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8873 loss: 0.8873 2022/08/04 19:53:28 - mmengine - INFO - Epoch(train) [151][660/1879] lr: 1.0000e-04 eta: 23:51:06 time: 0.4328 data_time: 0.0151 memory: 17087 grad_norm: 6.6684 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0112 loss: 1.0112 2022/08/04 19:53:38 - mmengine - INFO - Epoch(train) [151][680/1879] lr: 1.0000e-04 eta: 23:50:58 time: 0.4502 data_time: 0.0181 memory: 17087 grad_norm: 6.7251 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9015 loss: 0.9015 2022/08/04 19:53:46 - mmengine - INFO - Epoch(train) [151][700/1879] lr: 1.0000e-04 eta: 23:50:49 time: 0.4336 data_time: 0.0177 memory: 17087 grad_norm: 6.4091 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8014 loss: 0.8014 2022/08/04 19:53:57 - mmengine - INFO - Epoch(train) [151][720/1879] lr: 1.0000e-04 eta: 23:50:42 time: 0.5460 data_time: 0.0163 memory: 17087 grad_norm: 6.5986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8175 loss: 0.8175 2022/08/04 19:54:06 - mmengine - INFO - Epoch(train) [151][740/1879] lr: 1.0000e-04 eta: 23:50:33 time: 0.4384 data_time: 0.0164 memory: 17087 grad_norm: 6.6403 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8178 loss: 0.8178 2022/08/04 19:54:15 - mmengine - INFO - Epoch(train) [151][760/1879] lr: 1.0000e-04 eta: 23:50:25 time: 0.4334 data_time: 0.0181 memory: 17087 grad_norm: 6.5447 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8137 loss: 0.8137 2022/08/04 19:54:23 - mmengine - INFO - Epoch(train) [151][780/1879] lr: 1.0000e-04 eta: 23:50:16 time: 0.4305 data_time: 0.0169 memory: 17087 grad_norm: 6.4984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8500 loss: 0.8500 2022/08/04 19:54:32 - mmengine - INFO - Epoch(train) [151][800/1879] lr: 1.0000e-04 eta: 23:50:08 time: 0.4409 data_time: 0.0134 memory: 17087 grad_norm: 6.5325 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8731 loss: 0.8731 2022/08/04 19:54:41 - mmengine - INFO - Epoch(train) [151][820/1879] lr: 1.0000e-04 eta: 23:49:59 time: 0.4301 data_time: 0.0175 memory: 17087 grad_norm: 6.6784 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8647 loss: 0.8647 2022/08/04 19:54:50 - mmengine - INFO - Epoch(train) [151][840/1879] lr: 1.0000e-04 eta: 23:49:50 time: 0.4420 data_time: 0.0172 memory: 17087 grad_norm: 6.3779 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8588 loss: 0.8588 2022/08/04 19:54:58 - mmengine - INFO - Epoch(train) [151][860/1879] lr: 1.0000e-04 eta: 23:49:42 time: 0.4294 data_time: 0.0173 memory: 17087 grad_norm: 6.4146 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8439 loss: 0.8439 2022/08/04 19:55:07 - mmengine - INFO - Epoch(train) [151][880/1879] lr: 1.0000e-04 eta: 23:49:33 time: 0.4348 data_time: 0.0153 memory: 17087 grad_norm: 6.2923 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8561 loss: 0.8561 2022/08/04 19:55:15 - mmengine - INFO - Epoch(train) [151][900/1879] lr: 1.0000e-04 eta: 23:49:24 time: 0.4300 data_time: 0.0161 memory: 17087 grad_norm: 6.5227 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9084 loss: 0.9084 2022/08/04 19:55:24 - mmengine - INFO - Epoch(train) [151][920/1879] lr: 1.0000e-04 eta: 23:49:16 time: 0.4459 data_time: 0.0143 memory: 17087 grad_norm: 6.6836 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1016 loss: 1.1016 2022/08/04 19:55:33 - mmengine - INFO - Epoch(train) [151][940/1879] lr: 1.0000e-04 eta: 23:49:07 time: 0.4300 data_time: 0.0160 memory: 17087 grad_norm: 6.6087 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8748 loss: 0.8748 2022/08/04 19:55:42 - mmengine - INFO - Epoch(train) [151][960/1879] lr: 1.0000e-04 eta: 23:48:59 time: 0.4333 data_time: 0.0190 memory: 17087 grad_norm: 6.8318 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9787 loss: 0.9787 2022/08/04 19:55:51 - mmengine - INFO - Epoch(train) [151][980/1879] lr: 1.0000e-04 eta: 23:48:50 time: 0.4516 data_time: 0.0157 memory: 17087 grad_norm: 6.6611 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9010 loss: 0.9010 2022/08/04 19:55:59 - mmengine - INFO - Epoch(train) [151][1000/1879] lr: 1.0000e-04 eta: 23:48:41 time: 0.4272 data_time: 0.0136 memory: 17087 grad_norm: 6.6580 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7564 loss: 0.7564 2022/08/04 19:56:08 - mmengine - INFO - Epoch(train) [151][1020/1879] lr: 1.0000e-04 eta: 23:48:33 time: 0.4311 data_time: 0.0169 memory: 17087 grad_norm: 6.4929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0961 loss: 1.0961 2022/08/04 19:56:17 - mmengine - INFO - Epoch(train) [151][1040/1879] lr: 1.0000e-04 eta: 23:48:24 time: 0.4384 data_time: 0.0262 memory: 17087 grad_norm: 6.6810 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9192 loss: 0.9192 2022/08/04 19:56:26 - mmengine - INFO - Epoch(train) [151][1060/1879] lr: 1.0000e-04 eta: 23:48:16 time: 0.4453 data_time: 0.0209 memory: 17087 grad_norm: 6.6259 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8623 loss: 0.8623 2022/08/04 19:56:34 - mmengine - INFO - Epoch(train) [151][1080/1879] lr: 1.0000e-04 eta: 23:48:07 time: 0.4272 data_time: 0.0143 memory: 17087 grad_norm: 6.7890 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8039 loss: 0.8039 2022/08/04 19:56:43 - mmengine - INFO - Epoch(train) [151][1100/1879] lr: 1.0000e-04 eta: 23:47:58 time: 0.4308 data_time: 0.0158 memory: 17087 grad_norm: 6.8087 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0097 loss: 1.0097 2022/08/04 19:56:52 - mmengine - INFO - Epoch(train) [151][1120/1879] lr: 1.0000e-04 eta: 23:47:50 time: 0.4350 data_time: 0.0148 memory: 17087 grad_norm: 6.6732 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8045 loss: 0.8045 2022/08/04 19:57:00 - mmengine - INFO - Epoch(train) [151][1140/1879] lr: 1.0000e-04 eta: 23:47:41 time: 0.4302 data_time: 0.0172 memory: 17087 grad_norm: 6.7973 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8906 loss: 0.8906 2022/08/04 19:57:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 19:57:09 - mmengine - INFO - Epoch(train) [151][1160/1879] lr: 1.0000e-04 eta: 23:47:32 time: 0.4311 data_time: 0.0146 memory: 17087 grad_norm: 6.6952 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7879 loss: 0.7879 2022/08/04 19:57:17 - mmengine - INFO - Epoch(train) [151][1180/1879] lr: 1.0000e-04 eta: 23:47:24 time: 0.4272 data_time: 0.0164 memory: 17087 grad_norm: 6.5787 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9003 loss: 0.9003 2022/08/04 19:57:26 - mmengine - INFO - Epoch(train) [151][1200/1879] lr: 1.0000e-04 eta: 23:47:15 time: 0.4505 data_time: 0.0174 memory: 17087 grad_norm: 6.6861 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8820 loss: 0.8820 2022/08/04 19:57:35 - mmengine - INFO - Epoch(train) [151][1220/1879] lr: 1.0000e-04 eta: 23:47:07 time: 0.4309 data_time: 0.0163 memory: 17087 grad_norm: 6.6743 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9741 loss: 0.9741 2022/08/04 19:57:44 - mmengine - INFO - Epoch(train) [151][1240/1879] lr: 1.0000e-04 eta: 23:46:58 time: 0.4304 data_time: 0.0165 memory: 17087 grad_norm: 6.6501 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9425 loss: 0.9425 2022/08/04 19:57:52 - mmengine - INFO - Epoch(train) [151][1260/1879] lr: 1.0000e-04 eta: 23:46:49 time: 0.4332 data_time: 0.0160 memory: 17087 grad_norm: 6.5795 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8482 loss: 0.8482 2022/08/04 19:58:01 - mmengine - INFO - Epoch(train) [151][1280/1879] lr: 1.0000e-04 eta: 23:46:40 time: 0.4272 data_time: 0.0149 memory: 17087 grad_norm: 6.7580 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9913 loss: 0.9913 2022/08/04 19:58:09 - mmengine - INFO - Epoch(train) [151][1300/1879] lr: 1.0000e-04 eta: 23:46:32 time: 0.4286 data_time: 0.0169 memory: 17087 grad_norm: 6.6243 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8073 loss: 0.8073 2022/08/04 19:58:18 - mmengine - INFO - Epoch(train) [151][1320/1879] lr: 1.0000e-04 eta: 23:46:23 time: 0.4286 data_time: 0.0153 memory: 17087 grad_norm: 6.6931 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8637 loss: 0.8637 2022/08/04 19:58:27 - mmengine - INFO - Epoch(train) [151][1340/1879] lr: 1.0000e-04 eta: 23:46:15 time: 0.4475 data_time: 0.0160 memory: 17087 grad_norm: 6.5813 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7780 loss: 0.7780 2022/08/04 19:58:36 - mmengine - INFO - Epoch(train) [151][1360/1879] lr: 1.0000e-04 eta: 23:46:06 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 6.5649 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7985 loss: 0.7985 2022/08/04 19:58:44 - mmengine - INFO - Epoch(train) [151][1380/1879] lr: 1.0000e-04 eta: 23:45:57 time: 0.4281 data_time: 0.0149 memory: 17087 grad_norm: 6.5458 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8003 loss: 0.8003 2022/08/04 19:58:53 - mmengine - INFO - Epoch(train) [151][1400/1879] lr: 1.0000e-04 eta: 23:45:49 time: 0.4297 data_time: 0.0145 memory: 17087 grad_norm: 6.4305 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8701 loss: 0.8701 2022/08/04 19:59:01 - mmengine - INFO - Epoch(train) [151][1420/1879] lr: 1.0000e-04 eta: 23:45:40 time: 0.4276 data_time: 0.0150 memory: 17087 grad_norm: 6.7823 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8715 loss: 0.8715 2022/08/04 19:59:10 - mmengine - INFO - Epoch(train) [151][1440/1879] lr: 1.0000e-04 eta: 23:45:31 time: 0.4431 data_time: 0.0161 memory: 17087 grad_norm: 6.5607 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7863 loss: 0.7863 2022/08/04 19:59:19 - mmengine - INFO - Epoch(train) [151][1460/1879] lr: 1.0000e-04 eta: 23:45:23 time: 0.4292 data_time: 0.0157 memory: 17087 grad_norm: 6.4506 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7318 loss: 0.7318 2022/08/04 19:59:28 - mmengine - INFO - Epoch(train) [151][1480/1879] lr: 1.0000e-04 eta: 23:45:14 time: 0.4293 data_time: 0.0158 memory: 17087 grad_norm: 6.5341 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8675 loss: 0.8675 2022/08/04 19:59:36 - mmengine - INFO - Epoch(train) [151][1500/1879] lr: 1.0000e-04 eta: 23:45:05 time: 0.4346 data_time: 0.0165 memory: 17087 grad_norm: 6.7496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9009 loss: 0.9009 2022/08/04 19:59:45 - mmengine - INFO - Epoch(train) [151][1520/1879] lr: 1.0000e-04 eta: 23:44:57 time: 0.4285 data_time: 0.0161 memory: 17087 grad_norm: 6.9610 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8656 loss: 0.8656 2022/08/04 19:59:53 - mmengine - INFO - Epoch(train) [151][1540/1879] lr: 1.0000e-04 eta: 23:44:48 time: 0.4295 data_time: 0.0166 memory: 17087 grad_norm: 6.8226 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8759 loss: 0.8759 2022/08/04 20:00:02 - mmengine - INFO - Epoch(train) [151][1560/1879] lr: 1.0000e-04 eta: 23:44:39 time: 0.4302 data_time: 0.0144 memory: 17087 grad_norm: 6.5228 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8790 loss: 0.8790 2022/08/04 20:00:11 - mmengine - INFO - Epoch(train) [151][1580/1879] lr: 1.0000e-04 eta: 23:44:31 time: 0.4449 data_time: 0.0170 memory: 17087 grad_norm: 6.2404 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8076 loss: 0.8076 2022/08/04 20:00:20 - mmengine - INFO - Epoch(train) [151][1600/1879] lr: 1.0000e-04 eta: 23:44:22 time: 0.4291 data_time: 0.0158 memory: 17087 grad_norm: 6.9926 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9709 loss: 0.9709 2022/08/04 20:00:28 - mmengine - INFO - Epoch(train) [151][1620/1879] lr: 1.0000e-04 eta: 23:44:13 time: 0.4410 data_time: 0.0172 memory: 17087 grad_norm: 6.4903 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7193 loss: 0.7193 2022/08/04 20:00:37 - mmengine - INFO - Epoch(train) [151][1640/1879] lr: 1.0000e-04 eta: 23:44:05 time: 0.4282 data_time: 0.0147 memory: 17087 grad_norm: 6.8645 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8950 loss: 0.8950 2022/08/04 20:00:46 - mmengine - INFO - Epoch(train) [151][1660/1879] lr: 1.0000e-04 eta: 23:43:56 time: 0.4404 data_time: 0.0186 memory: 17087 grad_norm: 6.4849 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9121 loss: 0.9121 2022/08/04 20:00:54 - mmengine - INFO - Epoch(train) [151][1680/1879] lr: 1.0000e-04 eta: 23:43:48 time: 0.4283 data_time: 0.0160 memory: 17087 grad_norm: 6.9010 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0743 loss: 1.0743 2022/08/04 20:01:03 - mmengine - INFO - Epoch(train) [151][1700/1879] lr: 1.0000e-04 eta: 23:43:39 time: 0.4300 data_time: 0.0154 memory: 17087 grad_norm: 6.7514 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8991 loss: 0.8991 2022/08/04 20:01:12 - mmengine - INFO - Epoch(train) [151][1720/1879] lr: 1.0000e-04 eta: 23:43:30 time: 0.4393 data_time: 0.0167 memory: 17087 grad_norm: 6.5113 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8149 loss: 0.8149 2022/08/04 20:01:21 - mmengine - INFO - Epoch(train) [151][1740/1879] lr: 1.0000e-04 eta: 23:43:22 time: 0.4465 data_time: 0.0176 memory: 17087 grad_norm: 6.7660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7246 loss: 0.7246 2022/08/04 20:01:29 - mmengine - INFO - Epoch(train) [151][1760/1879] lr: 1.0000e-04 eta: 23:43:13 time: 0.4282 data_time: 0.0152 memory: 17087 grad_norm: 6.5631 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7438 loss: 0.7438 2022/08/04 20:01:38 - mmengine - INFO - Epoch(train) [151][1780/1879] lr: 1.0000e-04 eta: 23:43:05 time: 0.4397 data_time: 0.0232 memory: 17087 grad_norm: 6.4329 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7539 loss: 0.7539 2022/08/04 20:01:47 - mmengine - INFO - Epoch(train) [151][1800/1879] lr: 1.0000e-04 eta: 23:42:56 time: 0.4268 data_time: 0.0141 memory: 17087 grad_norm: 6.4091 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8894 loss: 0.8894 2022/08/04 20:01:55 - mmengine - INFO - Epoch(train) [151][1820/1879] lr: 1.0000e-04 eta: 23:42:47 time: 0.4345 data_time: 0.0179 memory: 17087 grad_norm: 6.6233 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7343 loss: 0.7343 2022/08/04 20:02:04 - mmengine - INFO - Epoch(train) [151][1840/1879] lr: 1.0000e-04 eta: 23:42:38 time: 0.4279 data_time: 0.0150 memory: 17087 grad_norm: 6.4608 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8529 loss: 0.8529 2022/08/04 20:02:13 - mmengine - INFO - Epoch(train) [151][1860/1879] lr: 1.0000e-04 eta: 23:42:30 time: 0.4278 data_time: 0.0149 memory: 17087 grad_norm: 6.6815 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8385 loss: 0.8385 2022/08/04 20:02:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 20:02:20 - mmengine - INFO - Epoch(train) [151][1879/1879] lr: 1.0000e-04 eta: 23:42:30 time: 0.4117 data_time: 0.0138 memory: 17087 grad_norm: 6.5511 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7729 loss: 0.7729 2022/08/04 20:02:32 - mmengine - INFO - Epoch(train) [152][20/1879] lr: 1.0000e-04 eta: 23:42:09 time: 0.5610 data_time: 0.1406 memory: 17087 grad_norm: 6.6092 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8795 loss: 0.8795 2022/08/04 20:02:41 - mmengine - INFO - Epoch(train) [152][40/1879] lr: 1.0000e-04 eta: 23:42:01 time: 0.4626 data_time: 0.0164 memory: 17087 grad_norm: 6.4481 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9532 loss: 0.9532 2022/08/04 20:02:50 - mmengine - INFO - Epoch(train) [152][60/1879] lr: 1.0000e-04 eta: 23:41:52 time: 0.4338 data_time: 0.0196 memory: 17087 grad_norm: 6.6451 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8485 loss: 0.8485 2022/08/04 20:02:58 - mmengine - INFO - Epoch(train) [152][80/1879] lr: 1.0000e-04 eta: 23:41:43 time: 0.4308 data_time: 0.0182 memory: 17087 grad_norm: 6.6097 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8117 loss: 0.8117 2022/08/04 20:03:07 - mmengine - INFO - Epoch(train) [152][100/1879] lr: 1.0000e-04 eta: 23:41:35 time: 0.4287 data_time: 0.0154 memory: 17087 grad_norm: 6.8476 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8527 loss: 0.8527 2022/08/04 20:03:16 - mmengine - INFO - Epoch(train) [152][120/1879] lr: 1.0000e-04 eta: 23:41:26 time: 0.4494 data_time: 0.0171 memory: 17087 grad_norm: 6.5581 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9520 loss: 0.9520 2022/08/04 20:03:24 - mmengine - INFO - Epoch(train) [152][140/1879] lr: 1.0000e-04 eta: 23:41:18 time: 0.4286 data_time: 0.0155 memory: 17087 grad_norm: 6.4552 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8738 loss: 0.8738 2022/08/04 20:03:33 - mmengine - INFO - Epoch(train) [152][160/1879] lr: 1.0000e-04 eta: 23:41:09 time: 0.4348 data_time: 0.0200 memory: 17087 grad_norm: 6.4182 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9052 loss: 0.9052 2022/08/04 20:03:42 - mmengine - INFO - Epoch(train) [152][180/1879] lr: 1.0000e-04 eta: 23:41:01 time: 0.4514 data_time: 0.0161 memory: 17087 grad_norm: 6.7299 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9469 loss: 0.9469 2022/08/04 20:03:51 - mmengine - INFO - Epoch(train) [152][200/1879] lr: 1.0000e-04 eta: 23:40:52 time: 0.4348 data_time: 0.0217 memory: 17087 grad_norm: 6.6450 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9691 loss: 0.9691 2022/08/04 20:04:00 - mmengine - INFO - Epoch(train) [152][220/1879] lr: 1.0000e-04 eta: 23:40:43 time: 0.4376 data_time: 0.0167 memory: 17087 grad_norm: 6.9147 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0119 loss: 1.0119 2022/08/04 20:04:08 - mmengine - INFO - Epoch(train) [152][240/1879] lr: 1.0000e-04 eta: 23:40:35 time: 0.4300 data_time: 0.0160 memory: 17087 grad_norm: 6.3815 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7566 loss: 0.7566 2022/08/04 20:04:17 - mmengine - INFO - Epoch(train) [152][260/1879] lr: 1.0000e-04 eta: 23:40:26 time: 0.4300 data_time: 0.0136 memory: 17087 grad_norm: 6.7555 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8559 loss: 0.8559 2022/08/04 20:04:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 20:04:26 - mmengine - INFO - Epoch(train) [152][280/1879] lr: 1.0000e-04 eta: 23:40:17 time: 0.4384 data_time: 0.0169 memory: 17087 grad_norm: 6.3208 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8283 loss: 0.8283 2022/08/04 20:04:34 - mmengine - INFO - Epoch(train) [152][300/1879] lr: 1.0000e-04 eta: 23:40:09 time: 0.4270 data_time: 0.0151 memory: 17087 grad_norm: 6.5551 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9093 loss: 0.9093 2022/08/04 20:04:43 - mmengine - INFO - Epoch(train) [152][320/1879] lr: 1.0000e-04 eta: 23:40:00 time: 0.4331 data_time: 0.0175 memory: 17087 grad_norm: 6.6892 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8638 loss: 0.8638 2022/08/04 20:04:52 - mmengine - INFO - Epoch(train) [152][340/1879] lr: 1.0000e-04 eta: 23:39:52 time: 0.4630 data_time: 0.0164 memory: 17087 grad_norm: 6.7018 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0368 loss: 1.0368 2022/08/04 20:05:01 - mmengine - INFO - Epoch(train) [152][360/1879] lr: 1.0000e-04 eta: 23:39:43 time: 0.4329 data_time: 0.0204 memory: 17087 grad_norm: 6.6900 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9678 loss: 0.9678 2022/08/04 20:05:11 - mmengine - INFO - Epoch(train) [152][380/1879] lr: 1.0000e-04 eta: 23:39:35 time: 0.4862 data_time: 0.0154 memory: 17087 grad_norm: 6.4730 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8018 loss: 0.8018 2022/08/04 20:05:19 - mmengine - INFO - Epoch(train) [152][400/1879] lr: 1.0000e-04 eta: 23:39:27 time: 0.4287 data_time: 0.0156 memory: 17087 grad_norm: 6.7929 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9101 loss: 0.9101 2022/08/04 20:05:28 - mmengine - INFO - Epoch(train) [152][420/1879] lr: 1.0000e-04 eta: 23:39:18 time: 0.4381 data_time: 0.0194 memory: 17087 grad_norm: 6.7391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9123 loss: 0.9123 2022/08/04 20:05:37 - mmengine - INFO - Epoch(train) [152][440/1879] lr: 1.0000e-04 eta: 23:39:09 time: 0.4294 data_time: 0.0183 memory: 17087 grad_norm: 6.9561 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9641 loss: 0.9641 2022/08/04 20:05:46 - mmengine - INFO - Epoch(train) [152][460/1879] lr: 1.0000e-04 eta: 23:39:01 time: 0.4488 data_time: 0.0149 memory: 17087 grad_norm: 6.3926 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6588 loss: 0.6588 2022/08/04 20:05:54 - mmengine - INFO - Epoch(train) [152][480/1879] lr: 1.0000e-04 eta: 23:38:52 time: 0.4278 data_time: 0.0154 memory: 17087 grad_norm: 6.4737 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6926 loss: 0.6926 2022/08/04 20:06:03 - mmengine - INFO - Epoch(train) [152][500/1879] lr: 1.0000e-04 eta: 23:38:44 time: 0.4330 data_time: 0.0140 memory: 17087 grad_norm: 6.4794 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8810 loss: 0.8810 2022/08/04 20:06:11 - mmengine - INFO - Epoch(train) [152][520/1879] lr: 1.0000e-04 eta: 23:38:35 time: 0.4286 data_time: 0.0160 memory: 17087 grad_norm: 6.5124 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8269 loss: 0.8269 2022/08/04 20:06:20 - mmengine - INFO - Epoch(train) [152][540/1879] lr: 1.0000e-04 eta: 23:38:26 time: 0.4507 data_time: 0.0153 memory: 17087 grad_norm: 6.2603 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8081 loss: 0.8081 2022/08/04 20:06:29 - mmengine - INFO - Epoch(train) [152][560/1879] lr: 1.0000e-04 eta: 23:38:18 time: 0.4284 data_time: 0.0154 memory: 17087 grad_norm: 6.4468 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8078 loss: 0.8078 2022/08/04 20:06:38 - mmengine - INFO - Epoch(train) [152][580/1879] lr: 1.0000e-04 eta: 23:38:09 time: 0.4307 data_time: 0.0149 memory: 17087 grad_norm: 6.5058 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9775 loss: 0.9775 2022/08/04 20:06:46 - mmengine - INFO - Epoch(train) [152][600/1879] lr: 1.0000e-04 eta: 23:38:00 time: 0.4299 data_time: 0.0188 memory: 17087 grad_norm: 6.7020 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8304 loss: 0.8304 2022/08/04 20:06:55 - mmengine - INFO - Epoch(train) [152][620/1879] lr: 1.0000e-04 eta: 23:37:52 time: 0.4266 data_time: 0.0135 memory: 17087 grad_norm: 6.6582 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9696 loss: 0.9696 2022/08/04 20:07:04 - mmengine - INFO - Epoch(train) [152][640/1879] lr: 1.0000e-04 eta: 23:37:43 time: 0.4312 data_time: 0.0196 memory: 17087 grad_norm: 6.6214 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 0.8736 loss: 0.8736 2022/08/04 20:07:12 - mmengine - INFO - Epoch(train) [152][660/1879] lr: 1.0000e-04 eta: 23:37:34 time: 0.4297 data_time: 0.0151 memory: 17087 grad_norm: 6.6157 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7391 loss: 0.7391 2022/08/04 20:07:21 - mmengine - INFO - Epoch(train) [152][680/1879] lr: 1.0000e-04 eta: 23:37:26 time: 0.4366 data_time: 0.0163 memory: 17087 grad_norm: 6.8671 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8469 loss: 0.8469 2022/08/04 20:07:29 - mmengine - INFO - Epoch(train) [152][700/1879] lr: 1.0000e-04 eta: 23:37:17 time: 0.4283 data_time: 0.0150 memory: 17087 grad_norm: 6.5176 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8041 loss: 0.8041 2022/08/04 20:07:38 - mmengine - INFO - Epoch(train) [152][720/1879] lr: 1.0000e-04 eta: 23:37:08 time: 0.4323 data_time: 0.0165 memory: 17087 grad_norm: 6.7627 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8528 loss: 0.8528 2022/08/04 20:07:47 - mmengine - INFO - Epoch(train) [152][740/1879] lr: 1.0000e-04 eta: 23:37:00 time: 0.4426 data_time: 0.0171 memory: 17087 grad_norm: 6.7935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9562 loss: 0.9562 2022/08/04 20:07:56 - mmengine - INFO - Epoch(train) [152][760/1879] lr: 1.0000e-04 eta: 23:36:51 time: 0.4284 data_time: 0.0157 memory: 17087 grad_norm: 6.7712 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7570 loss: 0.7570 2022/08/04 20:08:04 - mmengine - INFO - Epoch(train) [152][780/1879] lr: 1.0000e-04 eta: 23:36:42 time: 0.4286 data_time: 0.0150 memory: 17087 grad_norm: 6.3578 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9844 loss: 0.9844 2022/08/04 20:08:14 - mmengine - INFO - Epoch(train) [152][800/1879] lr: 1.0000e-04 eta: 23:36:34 time: 0.4767 data_time: 0.0170 memory: 17087 grad_norm: 6.6855 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0604 loss: 1.0604 2022/08/04 20:08:22 - mmengine - INFO - Epoch(train) [152][820/1879] lr: 1.0000e-04 eta: 23:36:26 time: 0.4305 data_time: 0.0153 memory: 17087 grad_norm: 6.8425 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9878 loss: 0.9878 2022/08/04 20:08:34 - mmengine - INFO - Epoch(train) [152][840/1879] lr: 1.0000e-04 eta: 23:36:19 time: 0.5940 data_time: 0.0161 memory: 17087 grad_norm: 6.5804 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9293 loss: 0.9293 2022/08/04 20:08:43 - mmengine - INFO - Epoch(train) [152][860/1879] lr: 1.0000e-04 eta: 23:36:11 time: 0.4299 data_time: 0.0167 memory: 17087 grad_norm: 6.5758 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7229 loss: 0.7229 2022/08/04 20:08:51 - mmengine - INFO - Epoch(train) [152][880/1879] lr: 1.0000e-04 eta: 23:36:02 time: 0.4279 data_time: 0.0150 memory: 17087 grad_norm: 6.6986 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8997 loss: 0.8997 2022/08/04 20:09:00 - mmengine - INFO - Epoch(train) [152][900/1879] lr: 1.0000e-04 eta: 23:35:53 time: 0.4293 data_time: 0.0163 memory: 17087 grad_norm: 6.3947 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7913 loss: 0.7913 2022/08/04 20:09:09 - mmengine - INFO - Epoch(train) [152][920/1879] lr: 1.0000e-04 eta: 23:35:45 time: 0.4386 data_time: 0.0205 memory: 17087 grad_norm: 6.4693 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9118 loss: 0.9118 2022/08/04 20:09:17 - mmengine - INFO - Epoch(train) [152][940/1879] lr: 1.0000e-04 eta: 23:35:36 time: 0.4280 data_time: 0.0154 memory: 17087 grad_norm: 6.6768 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8878 loss: 0.8878 2022/08/04 20:09:26 - mmengine - INFO - Epoch(train) [152][960/1879] lr: 1.0000e-04 eta: 23:35:27 time: 0.4312 data_time: 0.0175 memory: 17087 grad_norm: 6.6070 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9159 loss: 0.9159 2022/08/04 20:09:35 - mmengine - INFO - Epoch(train) [152][980/1879] lr: 1.0000e-04 eta: 23:35:18 time: 0.4280 data_time: 0.0148 memory: 17087 grad_norm: 6.6187 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8250 loss: 0.8250 2022/08/04 20:09:43 - mmengine - INFO - Epoch(train) [152][1000/1879] lr: 1.0000e-04 eta: 23:35:10 time: 0.4277 data_time: 0.0142 memory: 17087 grad_norm: 6.6077 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7325 loss: 0.7325 2022/08/04 20:09:52 - mmengine - INFO - Epoch(train) [152][1020/1879] lr: 1.0000e-04 eta: 23:35:01 time: 0.4347 data_time: 0.0181 memory: 17087 grad_norm: 6.8003 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8777 loss: 0.8777 2022/08/04 20:10:00 - mmengine - INFO - Epoch(train) [152][1040/1879] lr: 1.0000e-04 eta: 23:34:52 time: 0.4279 data_time: 0.0157 memory: 17087 grad_norm: 6.5642 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.7135 loss: 0.7135 2022/08/04 20:10:09 - mmengine - INFO - Epoch(train) [152][1060/1879] lr: 1.0000e-04 eta: 23:34:44 time: 0.4370 data_time: 0.0180 memory: 17087 grad_norm: 6.7015 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9701 loss: 0.9701 2022/08/04 20:10:18 - mmengine - INFO - Epoch(train) [152][1080/1879] lr: 1.0000e-04 eta: 23:34:35 time: 0.4277 data_time: 0.0149 memory: 17087 grad_norm: 6.4836 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8293 loss: 0.8293 2022/08/04 20:10:27 - mmengine - INFO - Epoch(train) [152][1100/1879] lr: 1.0000e-04 eta: 23:34:26 time: 0.4350 data_time: 0.0164 memory: 17087 grad_norm: 6.6398 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9068 loss: 0.9068 2022/08/04 20:10:35 - mmengine - INFO - Epoch(train) [152][1120/1879] lr: 1.0000e-04 eta: 23:34:18 time: 0.4291 data_time: 0.0148 memory: 17087 grad_norm: 6.5558 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8525 loss: 0.8525 2022/08/04 20:10:44 - mmengine - INFO - Epoch(train) [152][1140/1879] lr: 1.0000e-04 eta: 23:34:09 time: 0.4304 data_time: 0.0166 memory: 17087 grad_norm: 6.5124 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7594 loss: 0.7594 2022/08/04 20:10:53 - mmengine - INFO - Epoch(train) [152][1160/1879] lr: 1.0000e-04 eta: 23:34:01 time: 0.4537 data_time: 0.0197 memory: 17087 grad_norm: 6.7723 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8467 loss: 0.8467 2022/08/04 20:11:01 - mmengine - INFO - Epoch(train) [152][1180/1879] lr: 1.0000e-04 eta: 23:33:52 time: 0.4311 data_time: 0.0177 memory: 17087 grad_norm: 6.7125 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8442 loss: 0.8442 2022/08/04 20:11:10 - mmengine - INFO - Epoch(train) [152][1200/1879] lr: 1.0000e-04 eta: 23:33:44 time: 0.4414 data_time: 0.0156 memory: 17087 grad_norm: 6.6805 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9493 loss: 0.9493 2022/08/04 20:11:19 - mmengine - INFO - Epoch(train) [152][1220/1879] lr: 1.0000e-04 eta: 23:33:35 time: 0.4319 data_time: 0.0178 memory: 17087 grad_norm: 6.4954 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9191 loss: 0.9191 2022/08/04 20:11:28 - mmengine - INFO - Epoch(train) [152][1240/1879] lr: 1.0000e-04 eta: 23:33:26 time: 0.4490 data_time: 0.0158 memory: 17087 grad_norm: 6.6980 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9414 loss: 0.9414 2022/08/04 20:11:37 - mmengine - INFO - Epoch(train) [152][1260/1879] lr: 1.0000e-04 eta: 23:33:18 time: 0.4333 data_time: 0.0208 memory: 17087 grad_norm: 6.6283 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8500 loss: 0.8500 2022/08/04 20:11:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 20:11:45 - mmengine - INFO - Epoch(train) [152][1280/1879] lr: 1.0000e-04 eta: 23:33:09 time: 0.4285 data_time: 0.0163 memory: 17087 grad_norm: 6.7049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8056 loss: 0.8056 2022/08/04 20:11:54 - mmengine - INFO - Epoch(train) [152][1300/1879] lr: 1.0000e-04 eta: 23:33:01 time: 0.4560 data_time: 0.0166 memory: 17087 grad_norm: 6.5354 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8270 loss: 0.8270 2022/08/04 20:12:03 - mmengine - INFO - Epoch(train) [152][1320/1879] lr: 1.0000e-04 eta: 23:32:52 time: 0.4289 data_time: 0.0149 memory: 17087 grad_norm: 6.6582 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8357 loss: 0.8357 2022/08/04 20:12:12 - mmengine - INFO - Epoch(train) [152][1340/1879] lr: 1.0000e-04 eta: 23:32:43 time: 0.4328 data_time: 0.0170 memory: 17087 grad_norm: 6.4340 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9981 loss: 0.9981 2022/08/04 20:12:20 - mmengine - INFO - Epoch(train) [152][1360/1879] lr: 1.0000e-04 eta: 23:32:35 time: 0.4274 data_time: 0.0147 memory: 17087 grad_norm: 6.5608 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8803 loss: 0.8803 2022/08/04 20:12:29 - mmengine - INFO - Epoch(train) [152][1380/1879] lr: 1.0000e-04 eta: 23:32:26 time: 0.4310 data_time: 0.0165 memory: 17087 grad_norm: 6.8519 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9031 loss: 0.9031 2022/08/04 20:12:38 - mmengine - INFO - Epoch(train) [152][1400/1879] lr: 1.0000e-04 eta: 23:32:17 time: 0.4379 data_time: 0.0155 memory: 17087 grad_norm: 6.6679 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8568 loss: 0.8568 2022/08/04 20:12:46 - mmengine - INFO - Epoch(train) [152][1420/1879] lr: 1.0000e-04 eta: 23:32:09 time: 0.4334 data_time: 0.0149 memory: 17087 grad_norm: 6.6828 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9395 loss: 0.9395 2022/08/04 20:12:55 - mmengine - INFO - Epoch(train) [152][1440/1879] lr: 1.0000e-04 eta: 23:32:00 time: 0.4340 data_time: 0.0222 memory: 17087 grad_norm: 6.7625 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8957 loss: 0.8957 2022/08/04 20:13:04 - mmengine - INFO - Epoch(train) [152][1460/1879] lr: 1.0000e-04 eta: 23:31:51 time: 0.4299 data_time: 0.0177 memory: 17087 grad_norm: 6.6275 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8007 loss: 0.8007 2022/08/04 20:13:12 - mmengine - INFO - Epoch(train) [152][1480/1879] lr: 1.0000e-04 eta: 23:31:43 time: 0.4299 data_time: 0.0161 memory: 17087 grad_norm: 6.7256 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9906 loss: 0.9906 2022/08/04 20:13:21 - mmengine - INFO - Epoch(train) [152][1500/1879] lr: 1.0000e-04 eta: 23:31:34 time: 0.4306 data_time: 0.0169 memory: 17087 grad_norm: 6.7386 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8443 loss: 0.8443 2022/08/04 20:13:30 - mmengine - INFO - Epoch(train) [152][1520/1879] lr: 1.0000e-04 eta: 23:31:25 time: 0.4326 data_time: 0.0163 memory: 17087 grad_norm: 6.4556 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9320 loss: 0.9320 2022/08/04 20:13:38 - mmengine - INFO - Epoch(train) [152][1540/1879] lr: 1.0000e-04 eta: 23:31:17 time: 0.4435 data_time: 0.0165 memory: 17087 grad_norm: 6.5539 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9140 loss: 0.9140 2022/08/04 20:13:47 - mmengine - INFO - Epoch(train) [152][1560/1879] lr: 1.0000e-04 eta: 23:31:08 time: 0.4305 data_time: 0.0171 memory: 17087 grad_norm: 6.6605 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7605 loss: 0.7605 2022/08/04 20:13:56 - mmengine - INFO - Epoch(train) [152][1580/1879] lr: 1.0000e-04 eta: 23:31:00 time: 0.4316 data_time: 0.0185 memory: 17087 grad_norm: 6.5456 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8647 loss: 0.8647 2022/08/04 20:14:05 - mmengine - INFO - Epoch(train) [152][1600/1879] lr: 1.0000e-04 eta: 23:30:51 time: 0.4464 data_time: 0.0141 memory: 17087 grad_norm: 6.6351 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7858 loss: 0.7858 2022/08/04 20:14:13 - mmengine - INFO - Epoch(train) [152][1620/1879] lr: 1.0000e-04 eta: 23:30:42 time: 0.4311 data_time: 0.0153 memory: 17087 grad_norm: 6.7107 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0090 loss: 1.0090 2022/08/04 20:14:22 - mmengine - INFO - Epoch(train) [152][1640/1879] lr: 1.0000e-04 eta: 23:30:34 time: 0.4453 data_time: 0.0167 memory: 17087 grad_norm: 6.5474 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9719 loss: 0.9719 2022/08/04 20:14:31 - mmengine - INFO - Epoch(train) [152][1660/1879] lr: 1.0000e-04 eta: 23:30:25 time: 0.4284 data_time: 0.0152 memory: 17087 grad_norm: 6.6581 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9000 loss: 0.9000 2022/08/04 20:14:40 - mmengine - INFO - Epoch(train) [152][1680/1879] lr: 1.0000e-04 eta: 23:30:17 time: 0.4376 data_time: 0.0226 memory: 17087 grad_norm: 6.6055 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8649 loss: 0.8649 2022/08/04 20:14:49 - mmengine - INFO - Epoch(train) [152][1700/1879] lr: 1.0000e-04 eta: 23:30:09 time: 0.4699 data_time: 0.0171 memory: 17087 grad_norm: 6.6030 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8627 loss: 0.8627 2022/08/04 20:14:58 - mmengine - INFO - Epoch(train) [152][1720/1879] lr: 1.0000e-04 eta: 23:30:00 time: 0.4301 data_time: 0.0156 memory: 17087 grad_norm: 6.4751 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8610 loss: 0.8610 2022/08/04 20:15:06 - mmengine - INFO - Epoch(train) [152][1740/1879] lr: 1.0000e-04 eta: 23:29:51 time: 0.4336 data_time: 0.0188 memory: 17087 grad_norm: 6.4422 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9165 loss: 0.9165 2022/08/04 20:15:15 - mmengine - INFO - Epoch(train) [152][1760/1879] lr: 1.0000e-04 eta: 23:29:43 time: 0.4297 data_time: 0.0158 memory: 17087 grad_norm: 6.6912 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7369 loss: 0.7369 2022/08/04 20:15:24 - mmengine - INFO - Epoch(train) [152][1780/1879] lr: 1.0000e-04 eta: 23:29:34 time: 0.4537 data_time: 0.0174 memory: 17087 grad_norm: 6.8464 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1057 loss: 1.1057 2022/08/04 20:15:33 - mmengine - INFO - Epoch(train) [152][1800/1879] lr: 1.0000e-04 eta: 23:29:26 time: 0.4357 data_time: 0.0226 memory: 17087 grad_norm: 6.7473 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7797 loss: 0.7797 2022/08/04 20:15:41 - mmengine - INFO - Epoch(train) [152][1820/1879] lr: 1.0000e-04 eta: 23:29:17 time: 0.4367 data_time: 0.0188 memory: 17087 grad_norm: 6.6603 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0319 loss: 1.0319 2022/08/04 20:15:50 - mmengine - INFO - Epoch(train) [152][1840/1879] lr: 1.0000e-04 eta: 23:29:08 time: 0.4351 data_time: 0.0166 memory: 17087 grad_norm: 6.4512 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5842 loss: 0.5842 2022/08/04 20:15:59 - mmengine - INFO - Epoch(train) [152][1860/1879] lr: 1.0000e-04 eta: 23:29:00 time: 0.4349 data_time: 0.0193 memory: 17087 grad_norm: 6.7117 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8807 loss: 0.8807 2022/08/04 20:16:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 20:16:07 - mmengine - INFO - Epoch(train) [152][1879/1879] lr: 1.0000e-04 eta: 23:29:00 time: 0.4115 data_time: 0.0146 memory: 17087 grad_norm: 6.5922 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8655 loss: 0.8655 2022/08/04 20:16:07 - mmengine - INFO - Saving checkpoint at 152 epochs 2022/08/04 20:16:21 - mmengine - INFO - Epoch(train) [153][20/1879] lr: 1.0000e-04 eta: 23:28:38 time: 0.5173 data_time: 0.1006 memory: 17087 grad_norm: 6.8060 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9079 loss: 0.9079 2022/08/04 20:16:30 - mmengine - INFO - Epoch(train) [153][40/1879] lr: 1.0000e-04 eta: 23:28:30 time: 0.4695 data_time: 0.0181 memory: 17087 grad_norm: 6.3252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7606 loss: 0.7606 2022/08/04 20:16:39 - mmengine - INFO - Epoch(train) [153][60/1879] lr: 1.0000e-04 eta: 23:28:22 time: 0.4287 data_time: 0.0151 memory: 17087 grad_norm: 6.5432 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9422 loss: 0.9422 2022/08/04 20:16:47 - mmengine - INFO - Epoch(train) [153][80/1879] lr: 1.0000e-04 eta: 23:28:13 time: 0.4321 data_time: 0.0180 memory: 17087 grad_norm: 6.4679 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9053 loss: 0.9053 2022/08/04 20:16:56 - mmengine - INFO - Epoch(train) [153][100/1879] lr: 1.0000e-04 eta: 23:28:04 time: 0.4294 data_time: 0.0143 memory: 17087 grad_norm: 6.5288 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8952 loss: 0.8952 2022/08/04 20:17:05 - mmengine - INFO - Epoch(train) [153][120/1879] lr: 1.0000e-04 eta: 23:27:56 time: 0.4282 data_time: 0.0156 memory: 17087 grad_norm: 6.5840 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7676 loss: 0.7676 2022/08/04 20:17:13 - mmengine - INFO - Epoch(train) [153][140/1879] lr: 1.0000e-04 eta: 23:27:47 time: 0.4340 data_time: 0.0137 memory: 17087 grad_norm: 6.7918 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9290 loss: 0.9290 2022/08/04 20:17:22 - mmengine - INFO - Epoch(train) [153][160/1879] lr: 1.0000e-04 eta: 23:27:38 time: 0.4295 data_time: 0.0158 memory: 17087 grad_norm: 6.4837 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7655 loss: 0.7655 2022/08/04 20:17:31 - mmengine - INFO - Epoch(train) [153][180/1879] lr: 1.0000e-04 eta: 23:27:30 time: 0.4341 data_time: 0.0142 memory: 17087 grad_norm: 6.4710 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8646 loss: 0.8646 2022/08/04 20:17:39 - mmengine - INFO - Epoch(train) [153][200/1879] lr: 1.0000e-04 eta: 23:27:21 time: 0.4312 data_time: 0.0170 memory: 17087 grad_norm: 6.5932 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8239 loss: 0.8239 2022/08/04 20:17:48 - mmengine - INFO - Epoch(train) [153][220/1879] lr: 1.0000e-04 eta: 23:27:12 time: 0.4277 data_time: 0.0153 memory: 17087 grad_norm: 6.7432 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8958 loss: 0.8958 2022/08/04 20:17:57 - mmengine - INFO - Epoch(train) [153][240/1879] lr: 1.0000e-04 eta: 23:27:04 time: 0.4449 data_time: 0.0177 memory: 17087 grad_norm: 6.5617 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7784 loss: 0.7784 2022/08/04 20:18:05 - mmengine - INFO - Epoch(train) [153][260/1879] lr: 1.0000e-04 eta: 23:26:55 time: 0.4276 data_time: 0.0148 memory: 17087 grad_norm: 6.7479 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8922 loss: 0.8922 2022/08/04 20:18:14 - mmengine - INFO - Epoch(train) [153][280/1879] lr: 1.0000e-04 eta: 23:26:46 time: 0.4363 data_time: 0.0214 memory: 17087 grad_norm: 6.6977 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8542 loss: 0.8542 2022/08/04 20:18:23 - mmengine - INFO - Epoch(train) [153][300/1879] lr: 1.0000e-04 eta: 23:26:38 time: 0.4303 data_time: 0.0160 memory: 17087 grad_norm: 6.6822 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8838 loss: 0.8838 2022/08/04 20:18:31 - mmengine - INFO - Epoch(train) [153][320/1879] lr: 1.0000e-04 eta: 23:26:29 time: 0.4296 data_time: 0.0169 memory: 17087 grad_norm: 6.6647 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8729 loss: 0.8729 2022/08/04 20:18:40 - mmengine - INFO - Epoch(train) [153][340/1879] lr: 1.0000e-04 eta: 23:26:20 time: 0.4353 data_time: 0.0156 memory: 17087 grad_norm: 6.4789 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8798 loss: 0.8798 2022/08/04 20:18:49 - mmengine - INFO - Epoch(train) [153][360/1879] lr: 1.0000e-04 eta: 23:26:12 time: 0.4352 data_time: 0.0229 memory: 17087 grad_norm: 6.4664 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7721 loss: 0.7721 2022/08/04 20:18:57 - mmengine - INFO - Epoch(train) [153][380/1879] lr: 1.0000e-04 eta: 23:26:03 time: 0.4298 data_time: 0.0149 memory: 17087 grad_norm: 6.4534 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9557 loss: 0.9557 2022/08/04 20:19:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 20:19:06 - mmengine - INFO - Epoch(train) [153][400/1879] lr: 1.0000e-04 eta: 23:25:54 time: 0.4300 data_time: 0.0167 memory: 17087 grad_norm: 6.7250 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7351 loss: 0.7351 2022/08/04 20:19:15 - mmengine - INFO - Epoch(train) [153][420/1879] lr: 1.0000e-04 eta: 23:25:46 time: 0.4476 data_time: 0.0146 memory: 17087 grad_norm: 6.4287 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8789 loss: 0.8789 2022/08/04 20:19:24 - mmengine - INFO - Epoch(train) [153][440/1879] lr: 1.0000e-04 eta: 23:25:37 time: 0.4315 data_time: 0.0164 memory: 17087 grad_norm: 6.6227 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8584 loss: 0.8584 2022/08/04 20:19:33 - mmengine - INFO - Epoch(train) [153][460/1879] lr: 1.0000e-04 eta: 23:25:29 time: 0.4543 data_time: 0.0163 memory: 17087 grad_norm: 6.5999 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9261 loss: 0.9261 2022/08/04 20:19:41 - mmengine - INFO - Epoch(train) [153][480/1879] lr: 1.0000e-04 eta: 23:25:20 time: 0.4384 data_time: 0.0216 memory: 17087 grad_norm: 6.4317 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7712 loss: 0.7712 2022/08/04 20:19:51 - mmengine - INFO - Epoch(train) [153][500/1879] lr: 1.0000e-04 eta: 23:25:12 time: 0.4530 data_time: 0.0160 memory: 17087 grad_norm: 6.6555 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9808 loss: 0.9808 2022/08/04 20:19:59 - mmengine - INFO - Epoch(train) [153][520/1879] lr: 1.0000e-04 eta: 23:25:03 time: 0.4323 data_time: 0.0198 memory: 17087 grad_norm: 6.6808 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9423 loss: 0.9423 2022/08/04 20:20:08 - mmengine - INFO - Epoch(train) [153][540/1879] lr: 1.0000e-04 eta: 23:24:55 time: 0.4300 data_time: 0.0163 memory: 17087 grad_norm: 6.6013 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9558 loss: 0.9558 2022/08/04 20:20:16 - mmengine - INFO - Epoch(train) [153][560/1879] lr: 1.0000e-04 eta: 23:24:46 time: 0.4316 data_time: 0.0150 memory: 17087 grad_norm: 6.6635 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7251 loss: 0.7251 2022/08/04 20:20:25 - mmengine - INFO - Epoch(train) [153][580/1879] lr: 1.0000e-04 eta: 23:24:37 time: 0.4290 data_time: 0.0140 memory: 17087 grad_norm: 6.4856 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8623 loss: 0.8623 2022/08/04 20:20:34 - mmengine - INFO - Epoch(train) [153][600/1879] lr: 1.0000e-04 eta: 23:24:29 time: 0.4292 data_time: 0.0154 memory: 17087 grad_norm: 6.6086 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8753 loss: 0.8753 2022/08/04 20:20:42 - mmengine - INFO - Epoch(train) [153][620/1879] lr: 1.0000e-04 eta: 23:24:20 time: 0.4400 data_time: 0.0144 memory: 17087 grad_norm: 6.7324 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8542 loss: 0.8542 2022/08/04 20:20:51 - mmengine - INFO - Epoch(train) [153][640/1879] lr: 1.0000e-04 eta: 23:24:11 time: 0.4315 data_time: 0.0155 memory: 17087 grad_norm: 6.5318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8375 loss: 0.8375 2022/08/04 20:21:00 - mmengine - INFO - Epoch(train) [153][660/1879] lr: 1.0000e-04 eta: 23:24:03 time: 0.4291 data_time: 0.0155 memory: 17087 grad_norm: 6.6336 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7042 loss: 0.7042 2022/08/04 20:21:08 - mmengine - INFO - Epoch(train) [153][680/1879] lr: 1.0000e-04 eta: 23:23:54 time: 0.4332 data_time: 0.0177 memory: 17087 grad_norm: 6.8760 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8696 loss: 0.8696 2022/08/04 20:21:17 - mmengine - INFO - Epoch(train) [153][700/1879] lr: 1.0000e-04 eta: 23:23:45 time: 0.4269 data_time: 0.0154 memory: 17087 grad_norm: 6.5640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8008 loss: 0.8008 2022/08/04 20:21:26 - mmengine - INFO - Epoch(train) [153][720/1879] lr: 1.0000e-04 eta: 23:23:37 time: 0.4281 data_time: 0.0149 memory: 17087 grad_norm: 6.4936 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7971 loss: 0.7971 2022/08/04 20:21:35 - mmengine - INFO - Epoch(train) [153][740/1879] lr: 1.0000e-04 eta: 23:23:28 time: 0.4507 data_time: 0.0171 memory: 17087 grad_norm: 6.5089 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9307 loss: 0.9307 2022/08/04 20:21:43 - mmengine - INFO - Epoch(train) [153][760/1879] lr: 1.0000e-04 eta: 23:23:20 time: 0.4315 data_time: 0.0171 memory: 17087 grad_norm: 6.7082 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7759 loss: 0.7759 2022/08/04 20:21:52 - mmengine - INFO - Epoch(train) [153][780/1879] lr: 1.0000e-04 eta: 23:23:11 time: 0.4379 data_time: 0.0195 memory: 17087 grad_norm: 6.7551 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8927 loss: 0.8927 2022/08/04 20:22:01 - mmengine - INFO - Epoch(train) [153][800/1879] lr: 1.0000e-04 eta: 23:23:02 time: 0.4327 data_time: 0.0173 memory: 17087 grad_norm: 6.6337 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8883 loss: 0.8883 2022/08/04 20:22:10 - mmengine - INFO - Epoch(train) [153][820/1879] lr: 1.0000e-04 eta: 23:22:54 time: 0.4440 data_time: 0.0137 memory: 17087 grad_norm: 6.4230 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7551 loss: 0.7551 2022/08/04 20:22:18 - mmengine - INFO - Epoch(train) [153][840/1879] lr: 1.0000e-04 eta: 23:22:45 time: 0.4352 data_time: 0.0207 memory: 17087 grad_norm: 6.5701 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7983 loss: 0.7983 2022/08/04 20:22:27 - mmengine - INFO - Epoch(train) [153][860/1879] lr: 1.0000e-04 eta: 23:22:37 time: 0.4462 data_time: 0.0149 memory: 17087 grad_norm: 6.4270 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8148 loss: 0.8148 2022/08/04 20:22:36 - mmengine - INFO - Epoch(train) [153][880/1879] lr: 1.0000e-04 eta: 23:22:28 time: 0.4280 data_time: 0.0162 memory: 17087 grad_norm: 6.4284 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7168 loss: 0.7168 2022/08/04 20:22:44 - mmengine - INFO - Epoch(train) [153][900/1879] lr: 1.0000e-04 eta: 23:22:19 time: 0.4306 data_time: 0.0155 memory: 17087 grad_norm: 6.6060 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8421 loss: 0.8421 2022/08/04 20:22:53 - mmengine - INFO - Epoch(train) [153][920/1879] lr: 1.0000e-04 eta: 23:22:11 time: 0.4341 data_time: 0.0164 memory: 17087 grad_norm: 6.6688 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8490 loss: 0.8490 2022/08/04 20:23:02 - mmengine - INFO - Epoch(train) [153][940/1879] lr: 1.0000e-04 eta: 23:22:02 time: 0.4368 data_time: 0.0147 memory: 17087 grad_norm: 6.5377 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7106 loss: 0.7106 2022/08/04 20:23:11 - mmengine - INFO - Epoch(train) [153][960/1879] lr: 1.0000e-04 eta: 23:21:54 time: 0.4384 data_time: 0.0187 memory: 17087 grad_norm: 6.9272 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8458 loss: 0.8458 2022/08/04 20:23:19 - mmengine - INFO - Epoch(train) [153][980/1879] lr: 1.0000e-04 eta: 23:21:45 time: 0.4283 data_time: 0.0151 memory: 17087 grad_norm: 6.5835 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9322 loss: 0.9322 2022/08/04 20:23:29 - mmengine - INFO - Epoch(train) [153][1000/1879] lr: 1.0000e-04 eta: 23:21:37 time: 0.4634 data_time: 0.0205 memory: 17087 grad_norm: 6.5573 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9318 loss: 0.9318 2022/08/04 20:23:37 - mmengine - INFO - Epoch(train) [153][1020/1879] lr: 1.0000e-04 eta: 23:21:28 time: 0.4282 data_time: 0.0152 memory: 17087 grad_norm: 6.5672 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9294 loss: 0.9294 2022/08/04 20:23:46 - mmengine - INFO - Epoch(train) [153][1040/1879] lr: 1.0000e-04 eta: 23:21:19 time: 0.4370 data_time: 0.0220 memory: 17087 grad_norm: 6.5973 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8844 loss: 0.8844 2022/08/04 20:23:54 - mmengine - INFO - Epoch(train) [153][1060/1879] lr: 1.0000e-04 eta: 23:21:11 time: 0.4291 data_time: 0.0149 memory: 17087 grad_norm: 6.8526 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9003 loss: 0.9003 2022/08/04 20:24:04 - mmengine - INFO - Epoch(train) [153][1080/1879] lr: 1.0000e-04 eta: 23:21:02 time: 0.4616 data_time: 0.0175 memory: 17087 grad_norm: 6.7538 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8942 loss: 0.8942 2022/08/04 20:24:12 - mmengine - INFO - Epoch(train) [153][1100/1879] lr: 1.0000e-04 eta: 23:20:54 time: 0.4283 data_time: 0.0152 memory: 17087 grad_norm: 6.4844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8630 loss: 0.8630 2022/08/04 20:24:21 - mmengine - INFO - Epoch(train) [153][1120/1879] lr: 1.0000e-04 eta: 23:20:45 time: 0.4427 data_time: 0.0175 memory: 17087 grad_norm: 6.4644 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8641 loss: 0.8641 2022/08/04 20:24:30 - mmengine - INFO - Epoch(train) [153][1140/1879] lr: 1.0000e-04 eta: 23:20:36 time: 0.4279 data_time: 0.0140 memory: 17087 grad_norm: 6.7835 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7574 loss: 0.7574 2022/08/04 20:24:39 - mmengine - INFO - Epoch(train) [153][1160/1879] lr: 1.0000e-04 eta: 23:20:28 time: 0.4606 data_time: 0.0198 memory: 17087 grad_norm: 6.7641 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8385 loss: 0.8385 2022/08/04 20:24:48 - mmengine - INFO - Epoch(train) [153][1180/1879] lr: 1.0000e-04 eta: 23:20:19 time: 0.4297 data_time: 0.0148 memory: 17087 grad_norm: 6.6802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7871 loss: 0.7871 2022/08/04 20:24:56 - mmengine - INFO - Epoch(train) [153][1200/1879] lr: 1.0000e-04 eta: 23:20:11 time: 0.4283 data_time: 0.0153 memory: 17087 grad_norm: 6.7858 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9136 loss: 0.9136 2022/08/04 20:25:05 - mmengine - INFO - Epoch(train) [153][1220/1879] lr: 1.0000e-04 eta: 23:20:02 time: 0.4558 data_time: 0.0163 memory: 17087 grad_norm: 6.7566 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8470 loss: 0.8470 2022/08/04 20:25:14 - mmengine - INFO - Epoch(train) [153][1240/1879] lr: 1.0000e-04 eta: 23:19:54 time: 0.4290 data_time: 0.0171 memory: 17087 grad_norm: 6.8099 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9122 loss: 0.9122 2022/08/04 20:25:23 - mmengine - INFO - Epoch(train) [153][1260/1879] lr: 1.0000e-04 eta: 23:19:45 time: 0.4563 data_time: 0.0164 memory: 17087 grad_norm: 6.6686 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9554 loss: 0.9554 2022/08/04 20:25:32 - mmengine - INFO - Epoch(train) [153][1280/1879] lr: 1.0000e-04 eta: 23:19:37 time: 0.4374 data_time: 0.0241 memory: 17087 grad_norm: 6.8307 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7962 loss: 0.7962 2022/08/04 20:25:41 - mmengine - INFO - Epoch(train) [153][1300/1879] lr: 1.0000e-04 eta: 23:19:29 time: 0.4812 data_time: 0.0180 memory: 17087 grad_norm: 6.7274 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8342 loss: 0.8342 2022/08/04 20:25:50 - mmengine - INFO - Epoch(train) [153][1320/1879] lr: 1.0000e-04 eta: 23:19:20 time: 0.4294 data_time: 0.0178 memory: 17087 grad_norm: 6.4032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7870 loss: 0.7870 2022/08/04 20:25:59 - mmengine - INFO - Epoch(train) [153][1340/1879] lr: 1.0000e-04 eta: 23:19:11 time: 0.4362 data_time: 0.0158 memory: 17087 grad_norm: 6.6218 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9332 loss: 0.9332 2022/08/04 20:26:07 - mmengine - INFO - Epoch(train) [153][1360/1879] lr: 1.0000e-04 eta: 23:19:03 time: 0.4278 data_time: 0.0165 memory: 17087 grad_norm: 6.7395 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8464 loss: 0.8464 2022/08/04 20:26:16 - mmengine - INFO - Epoch(train) [153][1380/1879] lr: 1.0000e-04 eta: 23:18:54 time: 0.4281 data_time: 0.0177 memory: 17087 grad_norm: 6.6522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9493 loss: 0.9493 2022/08/04 20:26:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 20:26:25 - mmengine - INFO - Epoch(train) [153][1400/1879] lr: 1.0000e-04 eta: 23:18:46 time: 0.4509 data_time: 0.0164 memory: 17087 grad_norm: 6.4982 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8179 loss: 0.8179 2022/08/04 20:26:34 - mmengine - INFO - Epoch(train) [153][1420/1879] lr: 1.0000e-04 eta: 23:18:37 time: 0.4274 data_time: 0.0147 memory: 17087 grad_norm: 6.6418 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7307 loss: 0.7307 2022/08/04 20:26:42 - mmengine - INFO - Epoch(train) [153][1440/1879] lr: 1.0000e-04 eta: 23:18:28 time: 0.4367 data_time: 0.0155 memory: 17087 grad_norm: 6.5703 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8031 loss: 0.8031 2022/08/04 20:26:51 - mmengine - INFO - Epoch(train) [153][1460/1879] lr: 1.0000e-04 eta: 23:18:20 time: 0.4288 data_time: 0.0152 memory: 17087 grad_norm: 6.7049 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7281 loss: 0.7281 2022/08/04 20:27:00 - mmengine - INFO - Epoch(train) [153][1480/1879] lr: 1.0000e-04 eta: 23:18:11 time: 0.4381 data_time: 0.0178 memory: 17087 grad_norm: 6.7041 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7519 loss: 0.7519 2022/08/04 20:27:08 - mmengine - INFO - Epoch(train) [153][1500/1879] lr: 1.0000e-04 eta: 23:18:02 time: 0.4281 data_time: 0.0150 memory: 17087 grad_norm: 6.8133 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9168 loss: 0.9168 2022/08/04 20:27:17 - mmengine - INFO - Epoch(train) [153][1520/1879] lr: 1.0000e-04 eta: 23:17:54 time: 0.4304 data_time: 0.0168 memory: 17087 grad_norm: 6.6771 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8495 loss: 0.8495 2022/08/04 20:27:26 - mmengine - INFO - Epoch(train) [153][1540/1879] lr: 1.0000e-04 eta: 23:17:45 time: 0.4592 data_time: 0.0180 memory: 17087 grad_norm: 6.7234 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8210 loss: 0.8210 2022/08/04 20:27:35 - mmengine - INFO - Epoch(train) [153][1560/1879] lr: 1.0000e-04 eta: 23:17:37 time: 0.4330 data_time: 0.0156 memory: 17087 grad_norm: 6.7871 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8534 loss: 0.8534 2022/08/04 20:27:44 - mmengine - INFO - Epoch(train) [153][1580/1879] lr: 1.0000e-04 eta: 23:17:28 time: 0.4533 data_time: 0.0189 memory: 17087 grad_norm: 6.7236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8435 loss: 0.8435 2022/08/04 20:27:53 - mmengine - INFO - Epoch(train) [153][1600/1879] lr: 1.0000e-04 eta: 23:17:20 time: 0.4347 data_time: 0.0212 memory: 17087 grad_norm: 6.8527 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8688 loss: 0.8688 2022/08/04 20:28:01 - mmengine - INFO - Epoch(train) [153][1620/1879] lr: 1.0000e-04 eta: 23:17:11 time: 0.4279 data_time: 0.0151 memory: 17087 grad_norm: 6.6832 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7877 loss: 0.7877 2022/08/04 20:28:10 - mmengine - INFO - Epoch(train) [153][1640/1879] lr: 1.0000e-04 eta: 23:17:02 time: 0.4333 data_time: 0.0166 memory: 17087 grad_norm: 6.6205 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8423 loss: 0.8423 2022/08/04 20:28:18 - mmengine - INFO - Epoch(train) [153][1660/1879] lr: 1.0000e-04 eta: 23:16:54 time: 0.4287 data_time: 0.0131 memory: 17087 grad_norm: 6.6012 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8767 loss: 0.8767 2022/08/04 20:28:27 - mmengine - INFO - Epoch(train) [153][1680/1879] lr: 1.0000e-04 eta: 23:16:45 time: 0.4333 data_time: 0.0152 memory: 17087 grad_norm: 6.7269 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9627 loss: 0.9627 2022/08/04 20:28:36 - mmengine - INFO - Epoch(train) [153][1700/1879] lr: 1.0000e-04 eta: 23:16:37 time: 0.4480 data_time: 0.0138 memory: 17087 grad_norm: 6.7138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8639 loss: 0.8639 2022/08/04 20:28:45 - mmengine - INFO - Epoch(train) [153][1720/1879] lr: 1.0000e-04 eta: 23:16:28 time: 0.4299 data_time: 0.0154 memory: 17087 grad_norm: 6.7557 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9170 loss: 0.9170 2022/08/04 20:28:53 - mmengine - INFO - Epoch(train) [153][1740/1879] lr: 1.0000e-04 eta: 23:16:19 time: 0.4391 data_time: 0.0155 memory: 17087 grad_norm: 6.6766 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8480 loss: 0.8480 2022/08/04 20:29:02 - mmengine - INFO - Epoch(train) [153][1760/1879] lr: 1.0000e-04 eta: 23:16:11 time: 0.4309 data_time: 0.0176 memory: 17087 grad_norm: 6.6347 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8686 loss: 0.8686 2022/08/04 20:29:11 - mmengine - INFO - Epoch(train) [153][1780/1879] lr: 1.0000e-04 eta: 23:16:02 time: 0.4367 data_time: 0.0153 memory: 17087 grad_norm: 6.7000 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9563 loss: 0.9563 2022/08/04 20:29:20 - mmengine - INFO - Epoch(train) [153][1800/1879] lr: 1.0000e-04 eta: 23:15:53 time: 0.4289 data_time: 0.0156 memory: 17087 grad_norm: 6.4122 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8463 loss: 0.8463 2022/08/04 20:29:28 - mmengine - INFO - Epoch(train) [153][1820/1879] lr: 1.0000e-04 eta: 23:15:45 time: 0.4363 data_time: 0.0209 memory: 17087 grad_norm: 6.7874 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1101 loss: 1.1101 2022/08/04 20:29:37 - mmengine - INFO - Epoch(train) [153][1840/1879] lr: 1.0000e-04 eta: 23:15:36 time: 0.4291 data_time: 0.0158 memory: 17087 grad_norm: 6.7017 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7624 loss: 0.7624 2022/08/04 20:29:45 - mmengine - INFO - Epoch(train) [153][1860/1879] lr: 1.0000e-04 eta: 23:15:27 time: 0.4299 data_time: 0.0149 memory: 17087 grad_norm: 6.8030 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9009 loss: 0.9009 2022/08/04 20:29:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 20:29:54 - mmengine - INFO - Epoch(train) [153][1879/1879] lr: 1.0000e-04 eta: 23:15:27 time: 0.4518 data_time: 0.0182 memory: 17087 grad_norm: 6.7093 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.7897 loss: 0.7897 2022/08/04 20:30:05 - mmengine - INFO - Epoch(train) [154][20/1879] lr: 1.0000e-04 eta: 23:15:07 time: 0.5468 data_time: 0.1138 memory: 17087 grad_norm: 6.6470 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6540 loss: 0.6540 2022/08/04 20:30:14 - mmengine - INFO - Epoch(train) [154][40/1879] lr: 1.0000e-04 eta: 23:14:58 time: 0.4600 data_time: 0.0167 memory: 17087 grad_norm: 6.5114 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7916 loss: 0.7916 2022/08/04 20:30:23 - mmengine - INFO - Epoch(train) [154][60/1879] lr: 1.0000e-04 eta: 23:14:50 time: 0.4303 data_time: 0.0161 memory: 17087 grad_norm: 6.7454 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8624 loss: 0.8624 2022/08/04 20:30:32 - mmengine - INFO - Epoch(train) [154][80/1879] lr: 1.0000e-04 eta: 23:14:41 time: 0.4537 data_time: 0.0178 memory: 17087 grad_norm: 6.5795 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7965 loss: 0.7965 2022/08/04 20:30:41 - mmengine - INFO - Epoch(train) [154][100/1879] lr: 1.0000e-04 eta: 23:14:33 time: 0.4317 data_time: 0.0189 memory: 17087 grad_norm: 6.7995 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8901 loss: 0.8901 2022/08/04 20:30:50 - mmengine - INFO - Epoch(train) [154][120/1879] lr: 1.0000e-04 eta: 23:14:24 time: 0.4447 data_time: 0.0173 memory: 17087 grad_norm: 6.4891 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9846 loss: 0.9846 2022/08/04 20:30:58 - mmengine - INFO - Epoch(train) [154][140/1879] lr: 1.0000e-04 eta: 23:14:16 time: 0.4478 data_time: 0.0165 memory: 17087 grad_norm: 6.8262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9224 loss: 0.9224 2022/08/04 20:31:07 - mmengine - INFO - Epoch(train) [154][160/1879] lr: 1.0000e-04 eta: 23:14:07 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 6.9338 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8764 loss: 0.8764 2022/08/04 20:31:16 - mmengine - INFO - Epoch(train) [154][180/1879] lr: 1.0000e-04 eta: 23:13:58 time: 0.4408 data_time: 0.0173 memory: 17087 grad_norm: 6.5329 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8363 loss: 0.8363 2022/08/04 20:31:25 - mmengine - INFO - Epoch(train) [154][200/1879] lr: 1.0000e-04 eta: 23:13:50 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 6.3404 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9268 loss: 0.9268 2022/08/04 20:31:34 - mmengine - INFO - Epoch(train) [154][220/1879] lr: 1.0000e-04 eta: 23:13:41 time: 0.4540 data_time: 0.0152 memory: 17087 grad_norm: 6.6272 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9157 loss: 0.9157 2022/08/04 20:31:42 - mmengine - INFO - Epoch(train) [154][240/1879] lr: 1.0000e-04 eta: 23:13:33 time: 0.4282 data_time: 0.0168 memory: 17087 grad_norm: 6.6148 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9386 loss: 0.9386 2022/08/04 20:31:51 - mmengine - INFO - Epoch(train) [154][260/1879] lr: 1.0000e-04 eta: 23:13:24 time: 0.4620 data_time: 0.0164 memory: 17087 grad_norm: 6.6502 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9603 loss: 0.9603 2022/08/04 20:32:00 - mmengine - INFO - Epoch(train) [154][280/1879] lr: 1.0000e-04 eta: 23:13:16 time: 0.4305 data_time: 0.0170 memory: 17087 grad_norm: 6.7745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8315 loss: 0.8315 2022/08/04 20:32:09 - mmengine - INFO - Epoch(train) [154][300/1879] lr: 1.0000e-04 eta: 23:13:07 time: 0.4511 data_time: 0.0165 memory: 17087 grad_norm: 6.7057 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8283 loss: 0.8283 2022/08/04 20:32:18 - mmengine - INFO - Epoch(train) [154][320/1879] lr: 1.0000e-04 eta: 23:12:59 time: 0.4288 data_time: 0.0160 memory: 17087 grad_norm: 6.6021 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9220 loss: 0.9220 2022/08/04 20:32:26 - mmengine - INFO - Epoch(train) [154][340/1879] lr: 1.0000e-04 eta: 23:12:50 time: 0.4292 data_time: 0.0159 memory: 17087 grad_norm: 6.7974 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0705 loss: 1.0705 2022/08/04 20:32:35 - mmengine - INFO - Epoch(train) [154][360/1879] lr: 1.0000e-04 eta: 23:12:41 time: 0.4398 data_time: 0.0162 memory: 17087 grad_norm: 6.8667 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8434 loss: 0.8434 2022/08/04 20:32:44 - mmengine - INFO - Epoch(train) [154][380/1879] lr: 1.0000e-04 eta: 23:12:33 time: 0.4287 data_time: 0.0146 memory: 17087 grad_norm: 6.6173 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7569 loss: 0.7569 2022/08/04 20:32:53 - mmengine - INFO - Epoch(train) [154][400/1879] lr: 1.0000e-04 eta: 23:12:24 time: 0.4491 data_time: 0.0188 memory: 17087 grad_norm: 6.6787 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8773 loss: 0.8773 2022/08/04 20:33:01 - mmengine - INFO - Epoch(train) [154][420/1879] lr: 1.0000e-04 eta: 23:12:15 time: 0.4280 data_time: 0.0148 memory: 17087 grad_norm: 6.7584 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7309 loss: 0.7309 2022/08/04 20:33:10 - mmengine - INFO - Epoch(train) [154][440/1879] lr: 1.0000e-04 eta: 23:12:07 time: 0.4338 data_time: 0.0165 memory: 17087 grad_norm: 6.6237 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8234 loss: 0.8234 2022/08/04 20:33:19 - mmengine - INFO - Epoch(train) [154][460/1879] lr: 1.0000e-04 eta: 23:11:58 time: 0.4272 data_time: 0.0149 memory: 17087 grad_norm: 6.7401 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8451 loss: 0.8451 2022/08/04 20:33:27 - mmengine - INFO - Epoch(train) [154][480/1879] lr: 1.0000e-04 eta: 23:11:49 time: 0.4302 data_time: 0.0159 memory: 17087 grad_norm: 6.4354 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8278 loss: 0.8278 2022/08/04 20:33:36 - mmengine - INFO - Epoch(train) [154][500/1879] lr: 1.0000e-04 eta: 23:11:41 time: 0.4299 data_time: 0.0159 memory: 17087 grad_norm: 6.6833 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7757 loss: 0.7757 2022/08/04 20:33:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 20:33:44 - mmengine - INFO - Epoch(train) [154][520/1879] lr: 1.0000e-04 eta: 23:11:32 time: 0.4309 data_time: 0.0164 memory: 17087 grad_norm: 6.7934 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8591 loss: 0.8591 2022/08/04 20:33:53 - mmengine - INFO - Epoch(train) [154][540/1879] lr: 1.0000e-04 eta: 23:11:23 time: 0.4328 data_time: 0.0148 memory: 17087 grad_norm: 6.5046 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0166 loss: 1.0166 2022/08/04 20:34:02 - mmengine - INFO - Epoch(train) [154][560/1879] lr: 1.0000e-04 eta: 23:11:15 time: 0.4275 data_time: 0.0153 memory: 17087 grad_norm: 6.3760 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0110 loss: 1.0110 2022/08/04 20:34:10 - mmengine - INFO - Epoch(train) [154][580/1879] lr: 1.0000e-04 eta: 23:11:06 time: 0.4294 data_time: 0.0158 memory: 17087 grad_norm: 6.4770 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8378 loss: 0.8378 2022/08/04 20:34:19 - mmengine - INFO - Epoch(train) [154][600/1879] lr: 1.0000e-04 eta: 23:10:57 time: 0.4321 data_time: 0.0165 memory: 17087 grad_norm: 6.6090 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7984 loss: 0.7984 2022/08/04 20:34:28 - mmengine - INFO - Epoch(train) [154][620/1879] lr: 1.0000e-04 eta: 23:10:49 time: 0.4280 data_time: 0.0143 memory: 17087 grad_norm: 6.6311 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8483 loss: 0.8483 2022/08/04 20:34:36 - mmengine - INFO - Epoch(train) [154][640/1879] lr: 1.0000e-04 eta: 23:10:40 time: 0.4355 data_time: 0.0148 memory: 17087 grad_norm: 6.6595 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8939 loss: 0.8939 2022/08/04 20:34:45 - mmengine - INFO - Epoch(train) [154][660/1879] lr: 1.0000e-04 eta: 23:10:31 time: 0.4352 data_time: 0.0204 memory: 17087 grad_norm: 6.6186 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8538 loss: 0.8538 2022/08/04 20:34:54 - mmengine - INFO - Epoch(train) [154][680/1879] lr: 1.0000e-04 eta: 23:10:23 time: 0.4330 data_time: 0.0160 memory: 17087 grad_norm: 6.5486 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8296 loss: 0.8296 2022/08/04 20:35:02 - mmengine - INFO - Epoch(train) [154][700/1879] lr: 1.0000e-04 eta: 23:10:14 time: 0.4313 data_time: 0.0155 memory: 17087 grad_norm: 6.6873 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8430 loss: 0.8430 2022/08/04 20:35:11 - mmengine - INFO - Epoch(train) [154][720/1879] lr: 1.0000e-04 eta: 23:10:06 time: 0.4498 data_time: 0.0176 memory: 17087 grad_norm: 6.4051 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9262 loss: 0.9262 2022/08/04 20:35:20 - mmengine - INFO - Epoch(train) [154][740/1879] lr: 1.0000e-04 eta: 23:09:57 time: 0.4325 data_time: 0.0212 memory: 17087 grad_norm: 6.5498 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8782 loss: 0.8782 2022/08/04 20:35:29 - mmengine - INFO - Epoch(train) [154][760/1879] lr: 1.0000e-04 eta: 23:09:48 time: 0.4329 data_time: 0.0166 memory: 17087 grad_norm: 6.7979 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8470 loss: 0.8470 2022/08/04 20:35:37 - mmengine - INFO - Epoch(train) [154][780/1879] lr: 1.0000e-04 eta: 23:09:40 time: 0.4286 data_time: 0.0145 memory: 17087 grad_norm: 6.6949 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9175 loss: 0.9175 2022/08/04 20:35:46 - mmengine - INFO - Epoch(train) [154][800/1879] lr: 1.0000e-04 eta: 23:09:31 time: 0.4537 data_time: 0.0198 memory: 17087 grad_norm: 6.8754 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7922 loss: 0.7922 2022/08/04 20:35:55 - mmengine - INFO - Epoch(train) [154][820/1879] lr: 1.0000e-04 eta: 23:09:23 time: 0.4371 data_time: 0.0230 memory: 17087 grad_norm: 6.6097 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9160 loss: 0.9160 2022/08/04 20:36:04 - mmengine - INFO - Epoch(train) [154][840/1879] lr: 1.0000e-04 eta: 23:09:14 time: 0.4328 data_time: 0.0172 memory: 17087 grad_norm: 6.7425 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9181 loss: 0.9181 2022/08/04 20:36:12 - mmengine - INFO - Epoch(train) [154][860/1879] lr: 1.0000e-04 eta: 23:09:05 time: 0.4303 data_time: 0.0149 memory: 17087 grad_norm: 6.4102 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9948 loss: 0.9948 2022/08/04 20:36:21 - mmengine - INFO - Epoch(train) [154][880/1879] lr: 1.0000e-04 eta: 23:08:57 time: 0.4360 data_time: 0.0166 memory: 17087 grad_norm: 6.6486 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7931 loss: 0.7931 2022/08/04 20:36:30 - mmengine - INFO - Epoch(train) [154][900/1879] lr: 1.0000e-04 eta: 23:08:48 time: 0.4365 data_time: 0.0167 memory: 17087 grad_norm: 6.8636 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8868 loss: 0.8868 2022/08/04 20:36:39 - mmengine - INFO - Epoch(train) [154][920/1879] lr: 1.0000e-04 eta: 23:08:40 time: 0.4544 data_time: 0.0175 memory: 17087 grad_norm: 6.6132 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8345 loss: 0.8345 2022/08/04 20:36:48 - mmengine - INFO - Epoch(train) [154][940/1879] lr: 1.0000e-04 eta: 23:08:31 time: 0.4272 data_time: 0.0146 memory: 17087 grad_norm: 6.3117 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8009 loss: 0.8009 2022/08/04 20:36:56 - mmengine - INFO - Epoch(train) [154][960/1879] lr: 1.0000e-04 eta: 23:08:23 time: 0.4405 data_time: 0.0218 memory: 17087 grad_norm: 6.3685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8946 loss: 0.8946 2022/08/04 20:37:05 - mmengine - INFO - Epoch(train) [154][980/1879] lr: 1.0000e-04 eta: 23:08:14 time: 0.4287 data_time: 0.0147 memory: 17087 grad_norm: 6.7048 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1244 loss: 1.1244 2022/08/04 20:37:14 - mmengine - INFO - Epoch(train) [154][1000/1879] lr: 1.0000e-04 eta: 23:08:05 time: 0.4291 data_time: 0.0164 memory: 17087 grad_norm: 6.7278 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7538 loss: 0.7538 2022/08/04 20:37:22 - mmengine - INFO - Epoch(train) [154][1020/1879] lr: 1.0000e-04 eta: 23:07:56 time: 0.4286 data_time: 0.0141 memory: 17087 grad_norm: 6.8082 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9248 loss: 0.9248 2022/08/04 20:37:31 - mmengine - INFO - Epoch(train) [154][1040/1879] lr: 1.0000e-04 eta: 23:07:48 time: 0.4348 data_time: 0.0199 memory: 17087 grad_norm: 6.7456 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8781 loss: 0.8781 2022/08/04 20:37:40 - mmengine - INFO - Epoch(train) [154][1060/1879] lr: 1.0000e-04 eta: 23:07:39 time: 0.4329 data_time: 0.0148 memory: 17087 grad_norm: 6.6032 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8262 loss: 0.8262 2022/08/04 20:37:48 - mmengine - INFO - Epoch(train) [154][1080/1879] lr: 1.0000e-04 eta: 23:07:31 time: 0.4349 data_time: 0.0165 memory: 17087 grad_norm: 6.5223 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8228 loss: 0.8228 2022/08/04 20:37:57 - mmengine - INFO - Epoch(train) [154][1100/1879] lr: 1.0000e-04 eta: 23:07:22 time: 0.4273 data_time: 0.0171 memory: 17087 grad_norm: 6.6386 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8453 loss: 0.8453 2022/08/04 20:38:06 - mmengine - INFO - Epoch(train) [154][1120/1879] lr: 1.0000e-04 eta: 23:07:13 time: 0.4402 data_time: 0.0166 memory: 17087 grad_norm: 6.7427 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0004 loss: 1.0004 2022/08/04 20:38:14 - mmengine - INFO - Epoch(train) [154][1140/1879] lr: 1.0000e-04 eta: 23:07:05 time: 0.4313 data_time: 0.0142 memory: 17087 grad_norm: 6.7784 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7823 loss: 0.7823 2022/08/04 20:38:23 - mmengine - INFO - Epoch(train) [154][1160/1879] lr: 1.0000e-04 eta: 23:06:56 time: 0.4400 data_time: 0.0180 memory: 17087 grad_norm: 6.4350 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7819 loss: 0.7819 2022/08/04 20:38:32 - mmengine - INFO - Epoch(train) [154][1180/1879] lr: 1.0000e-04 eta: 23:06:47 time: 0.4284 data_time: 0.0148 memory: 17087 grad_norm: 6.6215 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8642 loss: 0.8642 2022/08/04 20:38:41 - mmengine - INFO - Epoch(train) [154][1200/1879] lr: 1.0000e-04 eta: 23:06:39 time: 0.4697 data_time: 0.0227 memory: 17087 grad_norm: 6.6922 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8236 loss: 0.8236 2022/08/04 20:38:50 - mmengine - INFO - Epoch(train) [154][1220/1879] lr: 1.0000e-04 eta: 23:06:30 time: 0.4281 data_time: 0.0157 memory: 17087 grad_norm: 6.7322 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8297 loss: 0.8297 2022/08/04 20:38:59 - mmengine - INFO - Epoch(train) [154][1240/1879] lr: 1.0000e-04 eta: 23:06:22 time: 0.4740 data_time: 0.0231 memory: 17087 grad_norm: 6.6588 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8047 loss: 0.8047 2022/08/04 20:39:08 - mmengine - INFO - Epoch(train) [154][1260/1879] lr: 1.0000e-04 eta: 23:06:14 time: 0.4293 data_time: 0.0149 memory: 17087 grad_norm: 6.7419 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7560 loss: 0.7560 2022/08/04 20:39:16 - mmengine - INFO - Epoch(train) [154][1280/1879] lr: 1.0000e-04 eta: 23:06:05 time: 0.4276 data_time: 0.0149 memory: 17087 grad_norm: 6.6365 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7798 loss: 0.7798 2022/08/04 20:39:25 - mmengine - INFO - Epoch(train) [154][1300/1879] lr: 1.0000e-04 eta: 23:05:56 time: 0.4344 data_time: 0.0208 memory: 17087 grad_norm: 6.7785 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9893 loss: 0.9893 2022/08/04 20:39:34 - mmengine - INFO - Epoch(train) [154][1320/1879] lr: 1.0000e-04 eta: 23:05:48 time: 0.4357 data_time: 0.0159 memory: 17087 grad_norm: 6.6227 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8461 loss: 0.8461 2022/08/04 20:39:42 - mmengine - INFO - Epoch(train) [154][1340/1879] lr: 1.0000e-04 eta: 23:05:39 time: 0.4272 data_time: 0.0153 memory: 17087 grad_norm: 6.6408 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8240 loss: 0.8240 2022/08/04 20:39:51 - mmengine - INFO - Epoch(train) [154][1360/1879] lr: 1.0000e-04 eta: 23:05:31 time: 0.4526 data_time: 0.0191 memory: 17087 grad_norm: 6.6113 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7866 loss: 0.7866 2022/08/04 20:40:00 - mmengine - INFO - Epoch(train) [154][1380/1879] lr: 1.0000e-04 eta: 23:05:22 time: 0.4320 data_time: 0.0153 memory: 17087 grad_norm: 6.8122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8539 loss: 0.8539 2022/08/04 20:40:09 - mmengine - INFO - Epoch(train) [154][1400/1879] lr: 1.0000e-04 eta: 23:05:13 time: 0.4377 data_time: 0.0174 memory: 17087 grad_norm: 6.7430 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0858 loss: 1.0858 2022/08/04 20:40:17 - mmengine - INFO - Epoch(train) [154][1420/1879] lr: 1.0000e-04 eta: 23:05:05 time: 0.4288 data_time: 0.0137 memory: 17087 grad_norm: 6.6411 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9657 loss: 0.9657 2022/08/04 20:40:26 - mmengine - INFO - Epoch(train) [154][1440/1879] lr: 1.0000e-04 eta: 23:04:56 time: 0.4306 data_time: 0.0167 memory: 17087 grad_norm: 6.6134 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9411 loss: 0.9411 2022/08/04 20:40:35 - mmengine - INFO - Epoch(train) [154][1460/1879] lr: 1.0000e-04 eta: 23:04:47 time: 0.4296 data_time: 0.0161 memory: 17087 grad_norm: 6.8519 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9458 loss: 0.9458 2022/08/04 20:40:43 - mmengine - INFO - Epoch(train) [154][1480/1879] lr: 1.0000e-04 eta: 23:04:39 time: 0.4398 data_time: 0.0173 memory: 17087 grad_norm: 6.6811 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8527 loss: 0.8527 2022/08/04 20:40:52 - mmengine - INFO - Epoch(train) [154][1500/1879] lr: 1.0000e-04 eta: 23:04:30 time: 0.4312 data_time: 0.0152 memory: 17087 grad_norm: 6.4825 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7600 loss: 0.7600 2022/08/04 20:40:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 20:41:01 - mmengine - INFO - Epoch(train) [154][1520/1879] lr: 1.0000e-04 eta: 23:04:21 time: 0.4343 data_time: 0.0172 memory: 17087 grad_norm: 6.7372 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6904 loss: 0.6904 2022/08/04 20:41:09 - mmengine - INFO - Epoch(train) [154][1540/1879] lr: 1.0000e-04 eta: 23:04:13 time: 0.4291 data_time: 0.0152 memory: 17087 grad_norm: 6.7517 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7563 loss: 0.7563 2022/08/04 20:41:18 - mmengine - INFO - Epoch(train) [154][1560/1879] lr: 1.0000e-04 eta: 23:04:04 time: 0.4319 data_time: 0.0159 memory: 17087 grad_norm: 6.9951 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9741 loss: 0.9741 2022/08/04 20:41:27 - mmengine - INFO - Epoch(train) [154][1580/1879] lr: 1.0000e-04 eta: 23:03:56 time: 0.4458 data_time: 0.0154 memory: 17087 grad_norm: 6.8332 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8271 loss: 0.8271 2022/08/04 20:41:36 - mmengine - INFO - Epoch(train) [154][1600/1879] lr: 1.0000e-04 eta: 23:03:47 time: 0.4349 data_time: 0.0162 memory: 17087 grad_norm: 6.7202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8573 loss: 0.8573 2022/08/04 20:41:44 - mmengine - INFO - Epoch(train) [154][1620/1879] lr: 1.0000e-04 eta: 23:03:38 time: 0.4317 data_time: 0.0153 memory: 17087 grad_norm: 6.9168 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8551 loss: 0.8551 2022/08/04 20:41:53 - mmengine - INFO - Epoch(train) [154][1640/1879] lr: 1.0000e-04 eta: 23:03:30 time: 0.4285 data_time: 0.0164 memory: 17087 grad_norm: 6.5965 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9590 loss: 0.9590 2022/08/04 20:42:02 - mmengine - INFO - Epoch(train) [154][1660/1879] lr: 1.0000e-04 eta: 23:03:21 time: 0.4394 data_time: 0.0217 memory: 17087 grad_norm: 6.4132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8763 loss: 0.8763 2022/08/04 20:42:10 - mmengine - INFO - Epoch(train) [154][1680/1879] lr: 1.0000e-04 eta: 23:03:12 time: 0.4341 data_time: 0.0166 memory: 17087 grad_norm: 6.7090 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9161 loss: 0.9161 2022/08/04 20:42:19 - mmengine - INFO - Epoch(train) [154][1700/1879] lr: 1.0000e-04 eta: 23:03:04 time: 0.4347 data_time: 0.0171 memory: 17087 grad_norm: 6.7250 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9089 loss: 0.9089 2022/08/04 20:42:28 - mmengine - INFO - Epoch(train) [154][1720/1879] lr: 1.0000e-04 eta: 23:02:55 time: 0.4294 data_time: 0.0161 memory: 17087 grad_norm: 6.9685 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8926 loss: 0.8926 2022/08/04 20:42:36 - mmengine - INFO - Epoch(train) [154][1740/1879] lr: 1.0000e-04 eta: 23:02:46 time: 0.4283 data_time: 0.0161 memory: 17087 grad_norm: 6.6740 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7454 loss: 0.7454 2022/08/04 20:42:45 - mmengine - INFO - Epoch(train) [154][1760/1879] lr: 1.0000e-04 eta: 23:02:38 time: 0.4323 data_time: 0.0168 memory: 17087 grad_norm: 6.4677 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8923 loss: 0.8923 2022/08/04 20:42:54 - mmengine - INFO - Epoch(train) [154][1780/1879] lr: 1.0000e-04 eta: 23:02:29 time: 0.4406 data_time: 0.0165 memory: 17087 grad_norm: 6.7637 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8233 loss: 0.8233 2022/08/04 20:43:03 - mmengine - INFO - Epoch(train) [154][1800/1879] lr: 1.0000e-04 eta: 23:02:21 time: 0.4295 data_time: 0.0165 memory: 17087 grad_norm: 6.8494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0178 loss: 1.0178 2022/08/04 20:43:11 - mmengine - INFO - Epoch(train) [154][1820/1879] lr: 1.0000e-04 eta: 23:02:12 time: 0.4359 data_time: 0.0213 memory: 17087 grad_norm: 6.5196 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9556 loss: 0.9556 2022/08/04 20:43:20 - mmengine - INFO - Epoch(train) [154][1840/1879] lr: 1.0000e-04 eta: 23:02:03 time: 0.4307 data_time: 0.0161 memory: 17087 grad_norm: 6.6526 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8395 loss: 0.8395 2022/08/04 20:43:28 - mmengine - INFO - Epoch(train) [154][1860/1879] lr: 1.0000e-04 eta: 23:01:55 time: 0.4298 data_time: 0.0163 memory: 17087 grad_norm: 6.6678 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9602 loss: 0.9602 2022/08/04 20:43:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 20:43:36 - mmengine - INFO - Epoch(train) [154][1879/1879] lr: 1.0000e-04 eta: 23:01:55 time: 0.4129 data_time: 0.0152 memory: 17087 grad_norm: 6.8319 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6675 loss: 0.6675 2022/08/04 20:43:47 - mmengine - INFO - Epoch(train) [155][20/1879] lr: 1.0000e-04 eta: 23:01:34 time: 0.5535 data_time: 0.0975 memory: 17087 grad_norm: 6.5587 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9268 loss: 0.9268 2022/08/04 20:43:56 - mmengine - INFO - Epoch(train) [155][40/1879] lr: 1.0000e-04 eta: 23:01:25 time: 0.4455 data_time: 0.0172 memory: 17087 grad_norm: 6.6353 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8382 loss: 0.8382 2022/08/04 20:44:05 - mmengine - INFO - Epoch(train) [155][60/1879] lr: 1.0000e-04 eta: 23:01:17 time: 0.4361 data_time: 0.0187 memory: 17087 grad_norm: 6.6584 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8995 loss: 0.8995 2022/08/04 20:44:14 - mmengine - INFO - Epoch(train) [155][80/1879] lr: 1.0000e-04 eta: 23:01:08 time: 0.4472 data_time: 0.0180 memory: 17087 grad_norm: 6.7047 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9253 loss: 0.9253 2022/08/04 20:44:23 - mmengine - INFO - Epoch(train) [155][100/1879] lr: 1.0000e-04 eta: 23:01:00 time: 0.4417 data_time: 0.0180 memory: 17087 grad_norm: 6.5679 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7640 loss: 0.7640 2022/08/04 20:44:32 - mmengine - INFO - Epoch(train) [155][120/1879] lr: 1.0000e-04 eta: 23:00:51 time: 0.4469 data_time: 0.0178 memory: 17087 grad_norm: 6.5797 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8592 loss: 0.8592 2022/08/04 20:44:40 - mmengine - INFO - Epoch(train) [155][140/1879] lr: 1.0000e-04 eta: 23:00:43 time: 0.4291 data_time: 0.0152 memory: 17087 grad_norm: 6.5767 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9498 loss: 0.9498 2022/08/04 20:44:49 - mmengine - INFO - Epoch(train) [155][160/1879] lr: 1.0000e-04 eta: 23:00:34 time: 0.4457 data_time: 0.0171 memory: 17087 grad_norm: 6.6951 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0319 loss: 1.0319 2022/08/04 20:44:58 - mmengine - INFO - Epoch(train) [155][180/1879] lr: 1.0000e-04 eta: 23:00:25 time: 0.4285 data_time: 0.0176 memory: 17087 grad_norm: 6.7057 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9172 loss: 0.9172 2022/08/04 20:45:07 - mmengine - INFO - Epoch(train) [155][200/1879] lr: 1.0000e-04 eta: 23:00:17 time: 0.4395 data_time: 0.0168 memory: 17087 grad_norm: 6.5683 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7655 loss: 0.7655 2022/08/04 20:45:15 - mmengine - INFO - Epoch(train) [155][220/1879] lr: 1.0000e-04 eta: 23:00:08 time: 0.4314 data_time: 0.0162 memory: 17087 grad_norm: 6.6587 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7062 loss: 0.7062 2022/08/04 20:45:24 - mmengine - INFO - Epoch(train) [155][240/1879] lr: 1.0000e-04 eta: 23:00:00 time: 0.4353 data_time: 0.0163 memory: 17087 grad_norm: 6.6040 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8852 loss: 0.8852 2022/08/04 20:45:33 - mmengine - INFO - Epoch(train) [155][260/1879] lr: 1.0000e-04 eta: 22:59:51 time: 0.4286 data_time: 0.0148 memory: 17087 grad_norm: 6.3182 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.8723 loss: 0.8723 2022/08/04 20:45:41 - mmengine - INFO - Epoch(train) [155][280/1879] lr: 1.0000e-04 eta: 22:59:42 time: 0.4315 data_time: 0.0171 memory: 17087 grad_norm: 6.7934 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0014 loss: 1.0014 2022/08/04 20:45:50 - mmengine - INFO - Epoch(train) [155][300/1879] lr: 1.0000e-04 eta: 22:59:34 time: 0.4295 data_time: 0.0165 memory: 17087 grad_norm: 6.8147 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8885 loss: 0.8885 2022/08/04 20:45:59 - mmengine - INFO - Epoch(train) [155][320/1879] lr: 1.0000e-04 eta: 22:59:25 time: 0.4272 data_time: 0.0158 memory: 17087 grad_norm: 6.6073 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9723 loss: 0.9723 2022/08/04 20:46:07 - mmengine - INFO - Epoch(train) [155][340/1879] lr: 1.0000e-04 eta: 22:59:16 time: 0.4306 data_time: 0.0151 memory: 17087 grad_norm: 6.5318 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9834 loss: 0.9834 2022/08/04 20:46:16 - mmengine - INFO - Epoch(train) [155][360/1879] lr: 1.0000e-04 eta: 22:59:07 time: 0.4302 data_time: 0.0170 memory: 17087 grad_norm: 6.8207 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0253 loss: 1.0253 2022/08/04 20:46:24 - mmengine - INFO - Epoch(train) [155][380/1879] lr: 1.0000e-04 eta: 22:58:59 time: 0.4286 data_time: 0.0145 memory: 17087 grad_norm: 6.7562 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9776 loss: 0.9776 2022/08/04 20:46:34 - mmengine - INFO - Epoch(train) [155][400/1879] lr: 1.0000e-04 eta: 22:58:50 time: 0.4588 data_time: 0.0228 memory: 17087 grad_norm: 6.4996 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7682 loss: 0.7682 2022/08/04 20:46:42 - mmengine - INFO - Epoch(train) [155][420/1879] lr: 1.0000e-04 eta: 22:58:42 time: 0.4283 data_time: 0.0128 memory: 17087 grad_norm: 6.7831 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9326 loss: 0.9326 2022/08/04 20:46:51 - mmengine - INFO - Epoch(train) [155][440/1879] lr: 1.0000e-04 eta: 22:58:33 time: 0.4368 data_time: 0.0230 memory: 17087 grad_norm: 6.5642 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9098 loss: 0.9098 2022/08/04 20:47:00 - mmengine - INFO - Epoch(train) [155][460/1879] lr: 1.0000e-04 eta: 22:58:25 time: 0.4547 data_time: 0.0149 memory: 17087 grad_norm: 6.6112 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7889 loss: 0.7889 2022/08/04 20:47:09 - mmengine - INFO - Epoch(train) [155][480/1879] lr: 1.0000e-04 eta: 22:58:16 time: 0.4297 data_time: 0.0163 memory: 17087 grad_norm: 6.7356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8462 loss: 0.8462 2022/08/04 20:47:17 - mmengine - INFO - Epoch(train) [155][500/1879] lr: 1.0000e-04 eta: 22:58:07 time: 0.4303 data_time: 0.0152 memory: 17087 grad_norm: 6.8740 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8416 loss: 0.8416 2022/08/04 20:47:26 - mmengine - INFO - Epoch(train) [155][520/1879] lr: 1.0000e-04 eta: 22:57:59 time: 0.4364 data_time: 0.0180 memory: 17087 grad_norm: 6.6618 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8200 loss: 0.8200 2022/08/04 20:47:35 - mmengine - INFO - Epoch(train) [155][540/1879] lr: 1.0000e-04 eta: 22:57:50 time: 0.4270 data_time: 0.0141 memory: 17087 grad_norm: 6.6645 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8075 loss: 0.8075 2022/08/04 20:47:44 - mmengine - INFO - Epoch(train) [155][560/1879] lr: 1.0000e-04 eta: 22:57:42 time: 0.4514 data_time: 0.0163 memory: 17087 grad_norm: 6.6831 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8395 loss: 0.8395 2022/08/04 20:47:52 - mmengine - INFO - Epoch(train) [155][580/1879] lr: 1.0000e-04 eta: 22:57:33 time: 0.4275 data_time: 0.0141 memory: 17087 grad_norm: 6.4904 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9542 loss: 0.9542 2022/08/04 20:48:01 - mmengine - INFO - Epoch(train) [155][600/1879] lr: 1.0000e-04 eta: 22:57:24 time: 0.4336 data_time: 0.0176 memory: 17087 grad_norm: 6.9163 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7056 loss: 0.7056 2022/08/04 20:48:09 - mmengine - INFO - Epoch(train) [155][620/1879] lr: 1.0000e-04 eta: 22:57:16 time: 0.4291 data_time: 0.0151 memory: 17087 grad_norm: 6.6782 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8747 loss: 0.8747 2022/08/04 20:48:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 20:48:18 - mmengine - INFO - Epoch(train) [155][640/1879] lr: 1.0000e-04 eta: 22:57:07 time: 0.4310 data_time: 0.0168 memory: 17087 grad_norm: 6.7638 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7941 loss: 0.7941 2022/08/04 20:48:27 - mmengine - INFO - Epoch(train) [155][660/1879] lr: 1.0000e-04 eta: 22:56:59 time: 0.4477 data_time: 0.0151 memory: 17087 grad_norm: 6.9051 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9072 loss: 0.9072 2022/08/04 20:48:36 - mmengine - INFO - Epoch(train) [155][680/1879] lr: 1.0000e-04 eta: 22:56:50 time: 0.4304 data_time: 0.0179 memory: 17087 grad_norm: 6.7823 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9344 loss: 0.9344 2022/08/04 20:48:44 - mmengine - INFO - Epoch(train) [155][700/1879] lr: 1.0000e-04 eta: 22:56:41 time: 0.4402 data_time: 0.0157 memory: 17087 grad_norm: 6.5900 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9076 loss: 0.9076 2022/08/04 20:48:53 - mmengine - INFO - Epoch(train) [155][720/1879] lr: 1.0000e-04 eta: 22:56:33 time: 0.4304 data_time: 0.0183 memory: 17087 grad_norm: 6.7707 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9518 loss: 0.9518 2022/08/04 20:49:02 - mmengine - INFO - Epoch(train) [155][740/1879] lr: 1.0000e-04 eta: 22:56:24 time: 0.4316 data_time: 0.0161 memory: 17087 grad_norm: 6.5089 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6812 loss: 0.6812 2022/08/04 20:49:10 - mmengine - INFO - Epoch(train) [155][760/1879] lr: 1.0000e-04 eta: 22:56:15 time: 0.4296 data_time: 0.0163 memory: 17087 grad_norm: 6.6666 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8353 loss: 0.8353 2022/08/04 20:49:19 - mmengine - INFO - Epoch(train) [155][780/1879] lr: 1.0000e-04 eta: 22:56:07 time: 0.4265 data_time: 0.0148 memory: 17087 grad_norm: 6.6970 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8884 loss: 0.8884 2022/08/04 20:49:28 - mmengine - INFO - Epoch(train) [155][800/1879] lr: 1.0000e-04 eta: 22:55:58 time: 0.4319 data_time: 0.0181 memory: 17087 grad_norm: 6.5907 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0431 loss: 1.0431 2022/08/04 20:49:36 - mmengine - INFO - Epoch(train) [155][820/1879] lr: 1.0000e-04 eta: 22:55:49 time: 0.4282 data_time: 0.0140 memory: 17087 grad_norm: 6.6620 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8348 loss: 0.8348 2022/08/04 20:49:45 - mmengine - INFO - Epoch(train) [155][840/1879] lr: 1.0000e-04 eta: 22:55:40 time: 0.4323 data_time: 0.0165 memory: 17087 grad_norm: 6.5331 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9134 loss: 0.9134 2022/08/04 20:49:54 - mmengine - INFO - Epoch(train) [155][860/1879] lr: 1.0000e-04 eta: 22:55:32 time: 0.4425 data_time: 0.0168 memory: 17087 grad_norm: 6.7675 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7927 loss: 0.7927 2022/08/04 20:50:03 - mmengine - INFO - Epoch(train) [155][880/1879] lr: 1.0000e-04 eta: 22:55:24 time: 0.4472 data_time: 0.0159 memory: 17087 grad_norm: 6.7378 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8462 loss: 0.8462 2022/08/04 20:50:11 - mmengine - INFO - Epoch(train) [155][900/1879] lr: 1.0000e-04 eta: 22:55:15 time: 0.4326 data_time: 0.0174 memory: 17087 grad_norm: 6.4256 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7259 loss: 0.7259 2022/08/04 20:50:20 - mmengine - INFO - Epoch(train) [155][920/1879] lr: 1.0000e-04 eta: 22:55:06 time: 0.4285 data_time: 0.0164 memory: 17087 grad_norm: 6.8702 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9231 loss: 0.9231 2022/08/04 20:50:29 - mmengine - INFO - Epoch(train) [155][940/1879] lr: 1.0000e-04 eta: 22:54:57 time: 0.4291 data_time: 0.0169 memory: 17087 grad_norm: 6.7618 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9718 loss: 0.9718 2022/08/04 20:50:38 - mmengine - INFO - Epoch(train) [155][960/1879] lr: 1.0000e-04 eta: 22:54:49 time: 0.4640 data_time: 0.0182 memory: 17087 grad_norm: 6.7049 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8445 loss: 0.8445 2022/08/04 20:50:46 - mmengine - INFO - Epoch(train) [155][980/1879] lr: 1.0000e-04 eta: 22:54:41 time: 0.4324 data_time: 0.0153 memory: 17087 grad_norm: 6.4543 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8368 loss: 0.8368 2022/08/04 20:50:55 - mmengine - INFO - Epoch(train) [155][1000/1879] lr: 1.0000e-04 eta: 22:54:32 time: 0.4348 data_time: 0.0177 memory: 17087 grad_norm: 6.4322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9112 loss: 0.9112 2022/08/04 20:51:04 - mmengine - INFO - Epoch(train) [155][1020/1879] lr: 1.0000e-04 eta: 22:54:23 time: 0.4337 data_time: 0.0146 memory: 17087 grad_norm: 6.4449 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8584 loss: 0.8584 2022/08/04 20:51:13 - mmengine - INFO - Epoch(train) [155][1040/1879] lr: 1.0000e-04 eta: 22:54:15 time: 0.4312 data_time: 0.0158 memory: 17087 grad_norm: 6.4780 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9323 loss: 0.9323 2022/08/04 20:51:21 - mmengine - INFO - Epoch(train) [155][1060/1879] lr: 1.0000e-04 eta: 22:54:06 time: 0.4297 data_time: 0.0156 memory: 17087 grad_norm: 6.5898 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9041 loss: 0.9041 2022/08/04 20:51:30 - mmengine - INFO - Epoch(train) [155][1080/1879] lr: 1.0000e-04 eta: 22:53:57 time: 0.4307 data_time: 0.0185 memory: 17087 grad_norm: 6.7384 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7626 loss: 0.7626 2022/08/04 20:51:38 - mmengine - INFO - Epoch(train) [155][1100/1879] lr: 1.0000e-04 eta: 22:53:49 time: 0.4273 data_time: 0.0136 memory: 17087 grad_norm: 6.5422 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9169 loss: 0.9169 2022/08/04 20:51:47 - mmengine - INFO - Epoch(train) [155][1120/1879] lr: 1.0000e-04 eta: 22:53:40 time: 0.4318 data_time: 0.0179 memory: 17087 grad_norm: 6.4989 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8689 loss: 0.8689 2022/08/04 20:51:56 - mmengine - INFO - Epoch(train) [155][1140/1879] lr: 1.0000e-04 eta: 22:53:31 time: 0.4320 data_time: 0.0152 memory: 17087 grad_norm: 6.4064 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9265 loss: 0.9265 2022/08/04 20:52:04 - mmengine - INFO - Epoch(train) [155][1160/1879] lr: 1.0000e-04 eta: 22:53:23 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 6.6811 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8137 loss: 0.8137 2022/08/04 20:52:13 - mmengine - INFO - Epoch(train) [155][1180/1879] lr: 1.0000e-04 eta: 22:53:14 time: 0.4295 data_time: 0.0159 memory: 17087 grad_norm: 6.7292 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9992 loss: 0.9992 2022/08/04 20:52:21 - mmengine - INFO - Epoch(train) [155][1200/1879] lr: 1.0000e-04 eta: 22:53:05 time: 0.4298 data_time: 0.0179 memory: 17087 grad_norm: 6.6154 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8627 loss: 0.8627 2022/08/04 20:52:30 - mmengine - INFO - Epoch(train) [155][1220/1879] lr: 1.0000e-04 eta: 22:52:57 time: 0.4326 data_time: 0.0170 memory: 17087 grad_norm: 6.2637 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9012 loss: 0.9012 2022/08/04 20:52:39 - mmengine - INFO - Epoch(train) [155][1240/1879] lr: 1.0000e-04 eta: 22:52:48 time: 0.4386 data_time: 0.0162 memory: 17087 grad_norm: 6.5618 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9666 loss: 0.9666 2022/08/04 20:52:47 - mmengine - INFO - Epoch(train) [155][1260/1879] lr: 1.0000e-04 eta: 22:52:39 time: 0.4276 data_time: 0.0144 memory: 17087 grad_norm: 6.5128 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9377 loss: 0.9377 2022/08/04 20:52:56 - mmengine - INFO - Epoch(train) [155][1280/1879] lr: 1.0000e-04 eta: 22:52:31 time: 0.4333 data_time: 0.0157 memory: 17087 grad_norm: 6.4345 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0008 loss: 1.0008 2022/08/04 20:53:05 - mmengine - INFO - Epoch(train) [155][1300/1879] lr: 1.0000e-04 eta: 22:52:22 time: 0.4282 data_time: 0.0137 memory: 17087 grad_norm: 6.5543 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8679 loss: 0.8679 2022/08/04 20:53:13 - mmengine - INFO - Epoch(train) [155][1320/1879] lr: 1.0000e-04 eta: 22:52:13 time: 0.4328 data_time: 0.0182 memory: 17087 grad_norm: 6.9193 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8402 loss: 0.8402 2022/08/04 20:53:22 - mmengine - INFO - Epoch(train) [155][1340/1879] lr: 1.0000e-04 eta: 22:52:05 time: 0.4303 data_time: 0.0149 memory: 17087 grad_norm: 6.7975 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8289 loss: 0.8289 2022/08/04 20:53:31 - mmengine - INFO - Epoch(train) [155][1360/1879] lr: 1.0000e-04 eta: 22:51:56 time: 0.4333 data_time: 0.0167 memory: 17087 grad_norm: 6.8048 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0256 loss: 1.0256 2022/08/04 20:53:39 - mmengine - INFO - Epoch(train) [155][1380/1879] lr: 1.0000e-04 eta: 22:51:47 time: 0.4295 data_time: 0.0152 memory: 17087 grad_norm: 6.6307 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8217 loss: 0.8217 2022/08/04 20:53:48 - mmengine - INFO - Epoch(train) [155][1400/1879] lr: 1.0000e-04 eta: 22:51:39 time: 0.4289 data_time: 0.0160 memory: 17087 grad_norm: 6.6739 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7733 loss: 0.7733 2022/08/04 20:53:57 - mmengine - INFO - Epoch(train) [155][1420/1879] lr: 1.0000e-04 eta: 22:51:30 time: 0.4419 data_time: 0.0147 memory: 17087 grad_norm: 6.8190 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9688 loss: 0.9688 2022/08/04 20:54:05 - mmengine - INFO - Epoch(train) [155][1440/1879] lr: 1.0000e-04 eta: 22:51:21 time: 0.4307 data_time: 0.0185 memory: 17087 grad_norm: 6.5134 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8958 loss: 0.8958 2022/08/04 20:54:14 - mmengine - INFO - Epoch(train) [155][1460/1879] lr: 1.0000e-04 eta: 22:51:13 time: 0.4370 data_time: 0.0138 memory: 17087 grad_norm: 6.8544 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8877 loss: 0.8877 2022/08/04 20:54:23 - mmengine - INFO - Epoch(train) [155][1480/1879] lr: 1.0000e-04 eta: 22:51:04 time: 0.4283 data_time: 0.0163 memory: 17087 grad_norm: 6.7555 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8144 loss: 0.8144 2022/08/04 20:54:31 - mmengine - INFO - Epoch(train) [155][1500/1879] lr: 1.0000e-04 eta: 22:50:55 time: 0.4339 data_time: 0.0166 memory: 17087 grad_norm: 6.7319 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8732 loss: 0.8732 2022/08/04 20:54:40 - mmengine - INFO - Epoch(train) [155][1520/1879] lr: 1.0000e-04 eta: 22:50:47 time: 0.4320 data_time: 0.0164 memory: 17087 grad_norm: 6.7599 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8306 loss: 0.8306 2022/08/04 20:54:49 - mmengine - INFO - Epoch(train) [155][1540/1879] lr: 1.0000e-04 eta: 22:50:38 time: 0.4290 data_time: 0.0141 memory: 17087 grad_norm: 6.8814 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8926 loss: 0.8926 2022/08/04 20:54:58 - mmengine - INFO - Epoch(train) [155][1560/1879] lr: 1.0000e-04 eta: 22:50:30 time: 0.4511 data_time: 0.0151 memory: 17087 grad_norm: 6.4716 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8321 loss: 0.8321 2022/08/04 20:55:06 - mmengine - INFO - Epoch(train) [155][1580/1879] lr: 1.0000e-04 eta: 22:50:21 time: 0.4301 data_time: 0.0160 memory: 17087 grad_norm: 6.6813 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9399 loss: 0.9399 2022/08/04 20:55:15 - mmengine - INFO - Epoch(train) [155][1600/1879] lr: 1.0000e-04 eta: 22:50:12 time: 0.4275 data_time: 0.0154 memory: 17087 grad_norm: 6.7943 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8501 loss: 0.8501 2022/08/04 20:55:24 - mmengine - INFO - Epoch(train) [155][1620/1879] lr: 1.0000e-04 eta: 22:50:04 time: 0.4332 data_time: 0.0171 memory: 17087 grad_norm: 6.6632 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8693 loss: 0.8693 2022/08/04 20:55:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 20:55:32 - mmengine - INFO - Epoch(train) [155][1640/1879] lr: 1.0000e-04 eta: 22:49:55 time: 0.4323 data_time: 0.0166 memory: 17087 grad_norm: 6.7763 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8789 loss: 0.8789 2022/08/04 20:55:43 - mmengine - INFO - Epoch(train) [155][1660/1879] lr: 1.0000e-04 eta: 22:49:48 time: 0.5544 data_time: 0.1209 memory: 17087 grad_norm: 7.0438 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8675 loss: 0.8675 2022/08/04 20:55:52 - mmengine - INFO - Epoch(train) [155][1680/1879] lr: 1.0000e-04 eta: 22:49:39 time: 0.4336 data_time: 0.0126 memory: 17087 grad_norm: 6.7666 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8895 loss: 0.8895 2022/08/04 20:56:01 - mmengine - INFO - Epoch(train) [155][1700/1879] lr: 1.0000e-04 eta: 22:49:31 time: 0.4535 data_time: 0.0189 memory: 17087 grad_norm: 6.7633 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7978 loss: 0.7978 2022/08/04 20:56:10 - mmengine - INFO - Epoch(train) [155][1720/1879] lr: 1.0000e-04 eta: 22:49:22 time: 0.4305 data_time: 0.0168 memory: 17087 grad_norm: 6.6965 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9834 loss: 0.9834 2022/08/04 20:56:18 - mmengine - INFO - Epoch(train) [155][1740/1879] lr: 1.0000e-04 eta: 22:49:13 time: 0.4273 data_time: 0.0145 memory: 17087 grad_norm: 6.9421 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9321 loss: 0.9321 2022/08/04 20:56:27 - mmengine - INFO - Epoch(train) [155][1760/1879] lr: 1.0000e-04 eta: 22:49:05 time: 0.4474 data_time: 0.0165 memory: 17087 grad_norm: 6.6654 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7590 loss: 0.7590 2022/08/04 20:56:36 - mmengine - INFO - Epoch(train) [155][1780/1879] lr: 1.0000e-04 eta: 22:48:56 time: 0.4356 data_time: 0.0213 memory: 17087 grad_norm: 6.5523 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9300 loss: 0.9300 2022/08/04 20:56:45 - mmengine - INFO - Epoch(train) [155][1800/1879] lr: 1.0000e-04 eta: 22:48:48 time: 0.4477 data_time: 0.0168 memory: 17087 grad_norm: 6.5395 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6754 loss: 0.6754 2022/08/04 20:56:54 - mmengine - INFO - Epoch(train) [155][1820/1879] lr: 1.0000e-04 eta: 22:48:39 time: 0.4447 data_time: 0.0191 memory: 17087 grad_norm: 6.7786 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8861 loss: 0.8861 2022/08/04 20:57:03 - mmengine - INFO - Epoch(train) [155][1840/1879] lr: 1.0000e-04 eta: 22:48:31 time: 0.4542 data_time: 0.0175 memory: 17087 grad_norm: 6.6593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9490 loss: 0.9490 2022/08/04 20:57:12 - mmengine - INFO - Epoch(train) [155][1860/1879] lr: 1.0000e-04 eta: 22:48:22 time: 0.4270 data_time: 0.0135 memory: 17087 grad_norm: 6.7055 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8026 loss: 0.8026 2022/08/04 20:57:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 20:57:19 - mmengine - INFO - Epoch(train) [155][1879/1879] lr: 1.0000e-04 eta: 22:48:22 time: 0.4103 data_time: 0.0146 memory: 17087 grad_norm: 6.8276 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 1.1480 loss: 1.1480 2022/08/04 20:57:27 - mmengine - INFO - Epoch(val) [155][20/155] eta: 0:00:48 time: 0.3595 data_time: 0.1888 memory: 2821 2022/08/04 20:57:32 - mmengine - INFO - Epoch(val) [155][40/155] eta: 0:00:29 time: 0.2526 data_time: 0.0877 memory: 2821 2022/08/04 20:57:38 - mmengine - INFO - Epoch(val) [155][60/155] eta: 0:00:28 time: 0.3031 data_time: 0.1373 memory: 2821 2022/08/04 20:57:44 - mmengine - INFO - Epoch(val) [155][80/155] eta: 0:00:21 time: 0.2912 data_time: 0.1208 memory: 2821 2022/08/04 20:57:49 - mmengine - INFO - Epoch(val) [155][100/155] eta: 0:00:16 time: 0.2978 data_time: 0.1315 memory: 2821 2022/08/04 20:57:54 - mmengine - INFO - Epoch(val) [155][120/155] eta: 0:00:08 time: 0.2448 data_time: 0.0797 memory: 2821 2022/08/04 20:58:01 - mmengine - INFO - Epoch(val) [155][140/155] eta: 0:00:04 time: 0.3187 data_time: 0.1526 memory: 2821 2022/08/04 20:58:09 - mmengine - INFO - Epoch(val) [155][155/155] acc/top1: 0.6991 acc/top5: 0.8823 acc/mean1: 0.6990 2022/08/04 20:58:09 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_121.pth is removed 2022/08/04 20:58:12 - mmengine - INFO - The best checkpoint with 0.6991 acc/top1 at 156 epoch is saved to best_acc/top1_epoch_156.pth. 2022/08/04 20:58:23 - mmengine - INFO - Epoch(train) [156][20/1879] lr: 1.0000e-04 eta: 22:48:01 time: 0.5285 data_time: 0.1081 memory: 17087 grad_norm: 6.5658 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8646 loss: 0.8646 2022/08/04 20:58:32 - mmengine - INFO - Epoch(train) [156][40/1879] lr: 1.0000e-04 eta: 22:47:53 time: 0.4418 data_time: 0.0207 memory: 17087 grad_norm: 6.7526 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7978 loss: 0.7978 2022/08/04 20:58:40 - mmengine - INFO - Epoch(train) [156][60/1879] lr: 1.0000e-04 eta: 22:47:44 time: 0.4334 data_time: 0.0157 memory: 17087 grad_norm: 6.7583 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9334 loss: 0.9334 2022/08/04 20:58:49 - mmengine - INFO - Epoch(train) [156][80/1879] lr: 1.0000e-04 eta: 22:47:36 time: 0.4301 data_time: 0.0162 memory: 17087 grad_norm: 6.6896 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0074 loss: 1.0074 2022/08/04 20:58:58 - mmengine - INFO - Epoch(train) [156][100/1879] lr: 1.0000e-04 eta: 22:47:27 time: 0.4527 data_time: 0.0156 memory: 17087 grad_norm: 6.5589 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8037 loss: 0.8037 2022/08/04 20:59:07 - mmengine - INFO - Epoch(train) [156][120/1879] lr: 1.0000e-04 eta: 22:47:18 time: 0.4329 data_time: 0.0168 memory: 17087 grad_norm: 6.4552 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8386 loss: 0.8386 2022/08/04 20:59:15 - mmengine - INFO - Epoch(train) [156][140/1879] lr: 1.0000e-04 eta: 22:47:10 time: 0.4295 data_time: 0.0155 memory: 17087 grad_norm: 6.8236 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8992 loss: 0.8992 2022/08/04 20:59:24 - mmengine - INFO - Epoch(train) [156][160/1879] lr: 1.0000e-04 eta: 22:47:01 time: 0.4479 data_time: 0.0172 memory: 17087 grad_norm: 6.6540 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8935 loss: 0.8935 2022/08/04 20:59:33 - mmengine - INFO - Epoch(train) [156][180/1879] lr: 1.0000e-04 eta: 22:46:53 time: 0.4307 data_time: 0.0171 memory: 17087 grad_norm: 6.6973 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9228 loss: 0.9228 2022/08/04 20:59:42 - mmengine - INFO - Epoch(train) [156][200/1879] lr: 1.0000e-04 eta: 22:46:44 time: 0.4391 data_time: 0.0183 memory: 17087 grad_norm: 6.7266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8945 loss: 0.8945 2022/08/04 20:59:50 - mmengine - INFO - Epoch(train) [156][220/1879] lr: 1.0000e-04 eta: 22:46:35 time: 0.4302 data_time: 0.0156 memory: 17087 grad_norm: 6.4549 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6781 loss: 0.6781 2022/08/04 20:59:59 - mmengine - INFO - Epoch(train) [156][240/1879] lr: 1.0000e-04 eta: 22:46:27 time: 0.4284 data_time: 0.0144 memory: 17087 grad_norm: 6.4774 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8838 loss: 0.8838 2022/08/04 21:00:08 - mmengine - INFO - Epoch(train) [156][260/1879] lr: 1.0000e-04 eta: 22:46:18 time: 0.4346 data_time: 0.0155 memory: 17087 grad_norm: 6.5272 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9062 loss: 0.9062 2022/08/04 21:00:16 - mmengine - INFO - Epoch(train) [156][280/1879] lr: 1.0000e-04 eta: 22:46:09 time: 0.4288 data_time: 0.0160 memory: 17087 grad_norm: 6.5438 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8873 loss: 0.8873 2022/08/04 21:00:25 - mmengine - INFO - Epoch(train) [156][300/1879] lr: 1.0000e-04 eta: 22:46:01 time: 0.4313 data_time: 0.0155 memory: 17087 grad_norm: 6.5143 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9855 loss: 0.9855 2022/08/04 21:00:33 - mmengine - INFO - Epoch(train) [156][320/1879] lr: 1.0000e-04 eta: 22:45:52 time: 0.4278 data_time: 0.0157 memory: 17087 grad_norm: 6.6374 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8822 loss: 0.8822 2022/08/04 21:00:42 - mmengine - INFO - Epoch(train) [156][340/1879] lr: 1.0000e-04 eta: 22:45:44 time: 0.4487 data_time: 0.0169 memory: 17087 grad_norm: 6.8979 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8425 loss: 0.8425 2022/08/04 21:00:51 - mmengine - INFO - Epoch(train) [156][360/1879] lr: 1.0000e-04 eta: 22:45:35 time: 0.4299 data_time: 0.0158 memory: 17087 grad_norm: 6.5937 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7640 loss: 0.7640 2022/08/04 21:01:00 - mmengine - INFO - Epoch(train) [156][380/1879] lr: 1.0000e-04 eta: 22:45:26 time: 0.4296 data_time: 0.0158 memory: 17087 grad_norm: 6.5835 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8110 loss: 0.8110 2022/08/04 21:01:09 - mmengine - INFO - Epoch(train) [156][400/1879] lr: 1.0000e-04 eta: 22:45:18 time: 0.4451 data_time: 0.0145 memory: 17087 grad_norm: 6.6172 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0344 loss: 1.0344 2022/08/04 21:01:17 - mmengine - INFO - Epoch(train) [156][420/1879] lr: 1.0000e-04 eta: 22:45:09 time: 0.4285 data_time: 0.0154 memory: 17087 grad_norm: 6.7779 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8374 loss: 0.8374 2022/08/04 21:01:26 - mmengine - INFO - Epoch(train) [156][440/1879] lr: 1.0000e-04 eta: 22:45:00 time: 0.4331 data_time: 0.0172 memory: 17087 grad_norm: 6.6770 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8990 loss: 0.8990 2022/08/04 21:01:34 - mmengine - INFO - Epoch(train) [156][460/1879] lr: 1.0000e-04 eta: 22:44:52 time: 0.4291 data_time: 0.0149 memory: 17087 grad_norm: 6.7107 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9776 loss: 0.9776 2022/08/04 21:01:43 - mmengine - INFO - Epoch(train) [156][480/1879] lr: 1.0000e-04 eta: 22:44:43 time: 0.4323 data_time: 0.0168 memory: 17087 grad_norm: 6.6870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0104 loss: 1.0104 2022/08/04 21:01:52 - mmengine - INFO - Epoch(train) [156][500/1879] lr: 1.0000e-04 eta: 22:44:34 time: 0.4320 data_time: 0.0167 memory: 17087 grad_norm: 6.6547 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7470 loss: 0.7470 2022/08/04 21:02:00 - mmengine - INFO - Epoch(train) [156][520/1879] lr: 1.0000e-04 eta: 22:44:26 time: 0.4277 data_time: 0.0147 memory: 17087 grad_norm: 6.7361 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7090 loss: 0.7090 2022/08/04 21:02:09 - mmengine - INFO - Epoch(train) [156][540/1879] lr: 1.0000e-04 eta: 22:44:17 time: 0.4295 data_time: 0.0137 memory: 17087 grad_norm: 6.6009 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8565 loss: 0.8565 2022/08/04 21:02:18 - mmengine - INFO - Epoch(train) [156][560/1879] lr: 1.0000e-04 eta: 22:44:08 time: 0.4293 data_time: 0.0151 memory: 17087 grad_norm: 6.8593 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9088 loss: 0.9088 2022/08/04 21:02:26 - mmengine - INFO - Epoch(train) [156][580/1879] lr: 1.0000e-04 eta: 22:44:00 time: 0.4391 data_time: 0.0162 memory: 17087 grad_norm: 6.8506 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7264 loss: 0.7264 2022/08/04 21:02:35 - mmengine - INFO - Epoch(train) [156][600/1879] lr: 1.0000e-04 eta: 22:43:51 time: 0.4333 data_time: 0.0162 memory: 17087 grad_norm: 6.4153 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8592 loss: 0.8592 2022/08/04 21:02:44 - mmengine - INFO - Epoch(train) [156][620/1879] lr: 1.0000e-04 eta: 22:43:42 time: 0.4284 data_time: 0.0143 memory: 17087 grad_norm: 6.5235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7909 loss: 0.7909 2022/08/04 21:02:52 - mmengine - INFO - Epoch(train) [156][640/1879] lr: 1.0000e-04 eta: 22:43:34 time: 0.4383 data_time: 0.0163 memory: 17087 grad_norm: 6.6506 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8472 loss: 0.8472 2022/08/04 21:03:01 - mmengine - INFO - Epoch(train) [156][660/1879] lr: 1.0000e-04 eta: 22:43:25 time: 0.4326 data_time: 0.0152 memory: 17087 grad_norm: 6.7566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7172 loss: 0.7172 2022/08/04 21:03:10 - mmengine - INFO - Epoch(train) [156][680/1879] lr: 1.0000e-04 eta: 22:43:16 time: 0.4296 data_time: 0.0167 memory: 17087 grad_norm: 6.6630 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8848 loss: 0.8848 2022/08/04 21:03:19 - mmengine - INFO - Epoch(train) [156][700/1879] lr: 1.0000e-04 eta: 22:43:08 time: 0.4481 data_time: 0.0156 memory: 17087 grad_norm: 6.8656 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8772 loss: 0.8772 2022/08/04 21:03:27 - mmengine - INFO - Epoch(train) [156][720/1879] lr: 1.0000e-04 eta: 22:42:59 time: 0.4328 data_time: 0.0185 memory: 17087 grad_norm: 6.6113 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8367 loss: 0.8367 2022/08/04 21:03:36 - mmengine - INFO - Epoch(train) [156][740/1879] lr: 1.0000e-04 eta: 22:42:51 time: 0.4498 data_time: 0.0148 memory: 17087 grad_norm: 6.4591 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8138 loss: 0.8138 2022/08/04 21:03:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 21:03:45 - mmengine - INFO - Epoch(train) [156][760/1879] lr: 1.0000e-04 eta: 22:42:42 time: 0.4351 data_time: 0.0205 memory: 17087 grad_norm: 6.6271 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0052 loss: 1.0052 2022/08/04 21:03:54 - mmengine - INFO - Epoch(train) [156][780/1879] lr: 1.0000e-04 eta: 22:42:34 time: 0.4437 data_time: 0.0131 memory: 17087 grad_norm: 7.0033 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8290 loss: 0.8290 2022/08/04 21:04:03 - mmengine - INFO - Epoch(train) [156][800/1879] lr: 1.0000e-04 eta: 22:42:25 time: 0.4476 data_time: 0.0197 memory: 17087 grad_norm: 6.7836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8245 loss: 0.8245 2022/08/04 21:04:12 - mmengine - INFO - Epoch(train) [156][820/1879] lr: 1.0000e-04 eta: 22:42:17 time: 0.4303 data_time: 0.0159 memory: 17087 grad_norm: 6.5390 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7100 loss: 0.7100 2022/08/04 21:04:20 - mmengine - INFO - Epoch(train) [156][840/1879] lr: 1.0000e-04 eta: 22:42:08 time: 0.4276 data_time: 0.0151 memory: 17087 grad_norm: 6.8660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9953 loss: 0.9953 2022/08/04 21:04:29 - mmengine - INFO - Epoch(train) [156][860/1879] lr: 1.0000e-04 eta: 22:41:59 time: 0.4413 data_time: 0.0154 memory: 17087 grad_norm: 7.0016 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1051 loss: 1.1051 2022/08/04 21:04:38 - mmengine - INFO - Epoch(train) [156][880/1879] lr: 1.0000e-04 eta: 22:41:51 time: 0.4288 data_time: 0.0169 memory: 17087 grad_norm: 6.6419 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8078 loss: 0.8078 2022/08/04 21:04:46 - mmengine - INFO - Epoch(train) [156][900/1879] lr: 1.0000e-04 eta: 22:41:42 time: 0.4297 data_time: 0.0159 memory: 17087 grad_norm: 6.7775 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8089 loss: 0.8089 2022/08/04 21:04:55 - mmengine - INFO - Epoch(train) [156][920/1879] lr: 1.0000e-04 eta: 22:41:33 time: 0.4290 data_time: 0.0162 memory: 17087 grad_norm: 6.4525 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7272 loss: 0.7272 2022/08/04 21:05:03 - mmengine - INFO - Epoch(train) [156][940/1879] lr: 1.0000e-04 eta: 22:41:25 time: 0.4295 data_time: 0.0153 memory: 17087 grad_norm: 6.6065 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7303 loss: 0.7303 2022/08/04 21:05:12 - mmengine - INFO - Epoch(train) [156][960/1879] lr: 1.0000e-04 eta: 22:41:16 time: 0.4303 data_time: 0.0159 memory: 17087 grad_norm: 6.6272 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8604 loss: 0.8604 2022/08/04 21:05:21 - mmengine - INFO - Epoch(train) [156][980/1879] lr: 1.0000e-04 eta: 22:41:07 time: 0.4301 data_time: 0.0142 memory: 17087 grad_norm: 6.8179 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9232 loss: 0.9232 2022/08/04 21:05:29 - mmengine - INFO - Epoch(train) [156][1000/1879] lr: 1.0000e-04 eta: 22:40:59 time: 0.4323 data_time: 0.0181 memory: 17087 grad_norm: 6.5662 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9977 loss: 0.9977 2022/08/04 21:05:38 - mmengine - INFO - Epoch(train) [156][1020/1879] lr: 1.0000e-04 eta: 22:40:50 time: 0.4304 data_time: 0.0167 memory: 17087 grad_norm: 6.8426 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9422 loss: 0.9422 2022/08/04 21:05:47 - mmengine - INFO - Epoch(train) [156][1040/1879] lr: 1.0000e-04 eta: 22:40:41 time: 0.4370 data_time: 0.0229 memory: 17087 grad_norm: 6.6754 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8367 loss: 0.8367 2022/08/04 21:05:56 - mmengine - INFO - Epoch(train) [156][1060/1879] lr: 1.0000e-04 eta: 22:40:33 time: 0.4495 data_time: 0.0148 memory: 17087 grad_norm: 6.8360 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8707 loss: 0.8707 2022/08/04 21:06:04 - mmengine - INFO - Epoch(train) [156][1080/1879] lr: 1.0000e-04 eta: 22:40:24 time: 0.4306 data_time: 0.0168 memory: 17087 grad_norm: 6.4462 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8463 loss: 0.8463 2022/08/04 21:06:13 - mmengine - INFO - Epoch(train) [156][1100/1879] lr: 1.0000e-04 eta: 22:40:15 time: 0.4295 data_time: 0.0151 memory: 17087 grad_norm: 6.6576 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7044 loss: 0.7044 2022/08/04 21:06:22 - mmengine - INFO - Epoch(train) [156][1120/1879] lr: 1.0000e-04 eta: 22:40:07 time: 0.4520 data_time: 0.0174 memory: 17087 grad_norm: 6.6536 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0444 loss: 1.0444 2022/08/04 21:06:31 - mmengine - INFO - Epoch(train) [156][1140/1879] lr: 1.0000e-04 eta: 22:39:58 time: 0.4268 data_time: 0.0152 memory: 17087 grad_norm: 6.6943 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0145 loss: 1.0145 2022/08/04 21:06:39 - mmengine - INFO - Epoch(train) [156][1160/1879] lr: 1.0000e-04 eta: 22:39:50 time: 0.4354 data_time: 0.0165 memory: 17087 grad_norm: 6.8422 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0354 loss: 1.0354 2022/08/04 21:06:48 - mmengine - INFO - Epoch(train) [156][1180/1879] lr: 1.0000e-04 eta: 22:39:41 time: 0.4482 data_time: 0.0158 memory: 17087 grad_norm: 6.7483 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8340 loss: 0.8340 2022/08/04 21:06:57 - mmengine - INFO - Epoch(train) [156][1200/1879] lr: 1.0000e-04 eta: 22:39:33 time: 0.4288 data_time: 0.0161 memory: 17087 grad_norm: 6.6220 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7532 loss: 0.7532 2022/08/04 21:07:06 - mmengine - INFO - Epoch(train) [156][1220/1879] lr: 1.0000e-04 eta: 22:39:24 time: 0.4430 data_time: 0.0166 memory: 17087 grad_norm: 6.5467 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7533 loss: 0.7533 2022/08/04 21:07:14 - mmengine - INFO - Epoch(train) [156][1240/1879] lr: 1.0000e-04 eta: 22:39:15 time: 0.4292 data_time: 0.0154 memory: 17087 grad_norm: 6.7690 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7553 loss: 0.7553 2022/08/04 21:07:23 - mmengine - INFO - Epoch(train) [156][1260/1879] lr: 1.0000e-04 eta: 22:39:07 time: 0.4498 data_time: 0.0167 memory: 17087 grad_norm: 6.7347 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8232 loss: 0.8232 2022/08/04 21:07:32 - mmengine - INFO - Epoch(train) [156][1280/1879] lr: 1.0000e-04 eta: 22:38:58 time: 0.4290 data_time: 0.0164 memory: 17087 grad_norm: 6.8767 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8956 loss: 0.8956 2022/08/04 21:07:41 - mmengine - INFO - Epoch(train) [156][1300/1879] lr: 1.0000e-04 eta: 22:38:50 time: 0.4282 data_time: 0.0144 memory: 17087 grad_norm: 6.5096 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9189 loss: 0.9189 2022/08/04 21:07:50 - mmengine - INFO - Epoch(train) [156][1320/1879] lr: 1.0000e-04 eta: 22:38:41 time: 0.4553 data_time: 0.0182 memory: 17087 grad_norm: 6.2763 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6760 loss: 0.6760 2022/08/04 21:07:58 - mmengine - INFO - Epoch(train) [156][1340/1879] lr: 1.0000e-04 eta: 22:38:33 time: 0.4299 data_time: 0.0159 memory: 17087 grad_norm: 6.8438 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.1153 loss: 1.1153 2022/08/04 21:08:07 - mmengine - INFO - Epoch(train) [156][1360/1879] lr: 1.0000e-04 eta: 22:38:24 time: 0.4443 data_time: 0.0171 memory: 17087 grad_norm: 6.7467 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8772 loss: 0.8772 2022/08/04 21:08:16 - mmengine - INFO - Epoch(train) [156][1380/1879] lr: 1.0000e-04 eta: 22:38:15 time: 0.4297 data_time: 0.0154 memory: 17087 grad_norm: 6.6111 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8690 loss: 0.8690 2022/08/04 21:08:25 - mmengine - INFO - Epoch(train) [156][1400/1879] lr: 1.0000e-04 eta: 22:38:07 time: 0.4456 data_time: 0.0192 memory: 17087 grad_norm: 6.6140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9114 loss: 0.9114 2022/08/04 21:08:33 - mmengine - INFO - Epoch(train) [156][1420/1879] lr: 1.0000e-04 eta: 22:37:58 time: 0.4282 data_time: 0.0131 memory: 17087 grad_norm: 6.7366 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9217 loss: 0.9217 2022/08/04 21:08:42 - mmengine - INFO - Epoch(train) [156][1440/1879] lr: 1.0000e-04 eta: 22:37:50 time: 0.4581 data_time: 0.0183 memory: 17087 grad_norm: 6.6903 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7614 loss: 0.7614 2022/08/04 21:08:51 - mmengine - INFO - Epoch(train) [156][1460/1879] lr: 1.0000e-04 eta: 22:37:41 time: 0.4277 data_time: 0.0139 memory: 17087 grad_norm: 6.6842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7704 loss: 0.7704 2022/08/04 21:09:00 - mmengine - INFO - Epoch(train) [156][1480/1879] lr: 1.0000e-04 eta: 22:37:32 time: 0.4284 data_time: 0.0148 memory: 17087 grad_norm: 6.8042 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8899 loss: 0.8899 2022/08/04 21:09:09 - mmengine - INFO - Epoch(train) [156][1500/1879] lr: 1.0000e-04 eta: 22:37:24 time: 0.4521 data_time: 0.0188 memory: 17087 grad_norm: 6.6476 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8730 loss: 0.8730 2022/08/04 21:09:17 - mmengine - INFO - Epoch(train) [156][1520/1879] lr: 1.0000e-04 eta: 22:37:15 time: 0.4295 data_time: 0.0155 memory: 17087 grad_norm: 6.6014 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9293 loss: 0.9293 2022/08/04 21:09:26 - mmengine - INFO - Epoch(train) [156][1540/1879] lr: 1.0000e-04 eta: 22:37:07 time: 0.4353 data_time: 0.0161 memory: 17087 grad_norm: 6.6294 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9221 loss: 0.9221 2022/08/04 21:09:35 - mmengine - INFO - Epoch(train) [156][1560/1879] lr: 1.0000e-04 eta: 22:36:58 time: 0.4288 data_time: 0.0163 memory: 17087 grad_norm: 6.6063 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7385 loss: 0.7385 2022/08/04 21:09:44 - mmengine - INFO - Epoch(train) [156][1580/1879] lr: 1.0000e-04 eta: 22:36:49 time: 0.4451 data_time: 0.0155 memory: 17087 grad_norm: 6.6829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8265 loss: 0.8265 2022/08/04 21:09:52 - mmengine - INFO - Epoch(train) [156][1600/1879] lr: 1.0000e-04 eta: 22:36:41 time: 0.4301 data_time: 0.0172 memory: 17087 grad_norm: 6.5544 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8569 loss: 0.8569 2022/08/04 21:10:01 - mmengine - INFO - Epoch(train) [156][1620/1879] lr: 1.0000e-04 eta: 22:36:32 time: 0.4269 data_time: 0.0143 memory: 17087 grad_norm: 6.8500 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8590 loss: 0.8590 2022/08/04 21:10:09 - mmengine - INFO - Epoch(train) [156][1640/1879] lr: 1.0000e-04 eta: 22:36:23 time: 0.4330 data_time: 0.0181 memory: 17087 grad_norm: 6.8999 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8312 loss: 0.8312 2022/08/04 21:10:18 - mmengine - INFO - Epoch(train) [156][1660/1879] lr: 1.0000e-04 eta: 22:36:15 time: 0.4287 data_time: 0.0142 memory: 17087 grad_norm: 6.6764 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8088 loss: 0.8088 2022/08/04 21:10:27 - mmengine - INFO - Epoch(train) [156][1680/1879] lr: 1.0000e-04 eta: 22:36:06 time: 0.4608 data_time: 0.0173 memory: 17087 grad_norm: 6.6347 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0180 loss: 1.0180 2022/08/04 21:10:36 - mmengine - INFO - Epoch(train) [156][1700/1879] lr: 1.0000e-04 eta: 22:35:58 time: 0.4292 data_time: 0.0144 memory: 17087 grad_norm: 6.5363 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7954 loss: 0.7954 2022/08/04 21:10:45 - mmengine - INFO - Epoch(train) [156][1720/1879] lr: 1.0000e-04 eta: 22:35:49 time: 0.4452 data_time: 0.0178 memory: 17087 grad_norm: 6.6151 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8078 loss: 0.8078 2022/08/04 21:10:53 - mmengine - INFO - Epoch(train) [156][1740/1879] lr: 1.0000e-04 eta: 22:35:41 time: 0.4309 data_time: 0.0171 memory: 17087 grad_norm: 6.7078 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9093 loss: 0.9093 2022/08/04 21:11:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 21:11:05 - mmengine - INFO - Epoch(train) [156][1760/1879] lr: 1.0000e-04 eta: 22:35:34 time: 0.5639 data_time: 0.0226 memory: 17087 grad_norm: 6.6695 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8319 loss: 0.8319 2022/08/04 21:11:13 - mmengine - INFO - Epoch(train) [156][1780/1879] lr: 1.0000e-04 eta: 22:35:25 time: 0.4290 data_time: 0.0174 memory: 17087 grad_norm: 6.6429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7824 loss: 0.7824 2022/08/04 21:11:22 - mmengine - INFO - Epoch(train) [156][1800/1879] lr: 1.0000e-04 eta: 22:35:17 time: 0.4547 data_time: 0.0161 memory: 17087 grad_norm: 6.3984 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7713 loss: 0.7713 2022/08/04 21:11:31 - mmengine - INFO - Epoch(train) [156][1820/1879] lr: 1.0000e-04 eta: 22:35:08 time: 0.4293 data_time: 0.0161 memory: 17087 grad_norm: 6.8392 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8256 loss: 0.8256 2022/08/04 21:11:40 - mmengine - INFO - Epoch(train) [156][1840/1879] lr: 1.0000e-04 eta: 22:34:59 time: 0.4294 data_time: 0.0154 memory: 17087 grad_norm: 6.7930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7783 loss: 0.7783 2022/08/04 21:11:48 - mmengine - INFO - Epoch(train) [156][1860/1879] lr: 1.0000e-04 eta: 22:34:50 time: 0.4299 data_time: 0.0154 memory: 17087 grad_norm: 7.0599 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7693 loss: 0.7693 2022/08/04 21:11:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 21:11:56 - mmengine - INFO - Epoch(train) [156][1879/1879] lr: 1.0000e-04 eta: 22:34:50 time: 0.4094 data_time: 0.0139 memory: 17087 grad_norm: 7.0140 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.7622 loss: 0.7622 2022/08/04 21:11:56 - mmengine - INFO - Saving checkpoint at 156 epochs 2022/08/04 21:12:10 - mmengine - INFO - Epoch(train) [157][20/1879] lr: 1.0000e-04 eta: 22:34:30 time: 0.5333 data_time: 0.1147 memory: 17087 grad_norm: 6.7909 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9108 loss: 0.9108 2022/08/04 21:12:19 - mmengine - INFO - Epoch(train) [157][40/1879] lr: 1.0000e-04 eta: 22:34:21 time: 0.4528 data_time: 0.0216 memory: 17087 grad_norm: 6.8905 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9262 loss: 0.9262 2022/08/04 21:12:28 - mmengine - INFO - Epoch(train) [157][60/1879] lr: 1.0000e-04 eta: 22:34:13 time: 0.4339 data_time: 0.0221 memory: 17087 grad_norm: 6.8734 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9297 loss: 0.9297 2022/08/04 21:12:37 - mmengine - INFO - Epoch(train) [157][80/1879] lr: 1.0000e-04 eta: 22:34:04 time: 0.4318 data_time: 0.0187 memory: 17087 grad_norm: 6.6707 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8921 loss: 0.8921 2022/08/04 21:12:45 - mmengine - INFO - Epoch(train) [157][100/1879] lr: 1.0000e-04 eta: 22:33:55 time: 0.4326 data_time: 0.0154 memory: 17087 grad_norm: 6.6543 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7993 loss: 0.7993 2022/08/04 21:12:54 - mmengine - INFO - Epoch(train) [157][120/1879] lr: 1.0000e-04 eta: 22:33:47 time: 0.4302 data_time: 0.0165 memory: 17087 grad_norm: 6.5885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8080 loss: 0.8080 2022/08/04 21:13:03 - mmengine - INFO - Epoch(train) [157][140/1879] lr: 1.0000e-04 eta: 22:33:38 time: 0.4494 data_time: 0.0185 memory: 17087 grad_norm: 6.8563 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9597 loss: 0.9597 2022/08/04 21:13:12 - mmengine - INFO - Epoch(train) [157][160/1879] lr: 1.0000e-04 eta: 22:33:29 time: 0.4287 data_time: 0.0164 memory: 17087 grad_norm: 6.5834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8670 loss: 0.8670 2022/08/04 21:13:20 - mmengine - INFO - Epoch(train) [157][180/1879] lr: 1.0000e-04 eta: 22:33:21 time: 0.4331 data_time: 0.0190 memory: 17087 grad_norm: 6.4472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7185 loss: 0.7185 2022/08/04 21:13:29 - mmengine - INFO - Epoch(train) [157][200/1879] lr: 1.0000e-04 eta: 22:33:12 time: 0.4462 data_time: 0.0165 memory: 17087 grad_norm: 6.8568 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8486 loss: 0.8486 2022/08/04 21:13:38 - mmengine - INFO - Epoch(train) [157][220/1879] lr: 1.0000e-04 eta: 22:33:04 time: 0.4298 data_time: 0.0136 memory: 17087 grad_norm: 6.4269 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7924 loss: 0.7924 2022/08/04 21:13:47 - mmengine - INFO - Epoch(train) [157][240/1879] lr: 1.0000e-04 eta: 22:32:55 time: 0.4537 data_time: 0.0224 memory: 17087 grad_norm: 6.5169 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0033 loss: 1.0033 2022/08/04 21:13:56 - mmengine - INFO - Epoch(train) [157][260/1879] lr: 1.0000e-04 eta: 22:32:47 time: 0.4287 data_time: 0.0140 memory: 17087 grad_norm: 6.7429 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9208 loss: 0.9208 2022/08/04 21:14:04 - mmengine - INFO - Epoch(train) [157][280/1879] lr: 1.0000e-04 eta: 22:32:38 time: 0.4316 data_time: 0.0190 memory: 17087 grad_norm: 6.7029 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8643 loss: 0.8643 2022/08/04 21:14:13 - mmengine - INFO - Epoch(train) [157][300/1879] lr: 1.0000e-04 eta: 22:32:29 time: 0.4296 data_time: 0.0150 memory: 17087 grad_norm: 6.7353 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0059 loss: 1.0059 2022/08/04 21:14:21 - mmengine - INFO - Epoch(train) [157][320/1879] lr: 1.0000e-04 eta: 22:32:21 time: 0.4288 data_time: 0.0170 memory: 17087 grad_norm: 6.5693 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8601 loss: 0.8601 2022/08/04 21:14:30 - mmengine - INFO - Epoch(train) [157][340/1879] lr: 1.0000e-04 eta: 22:32:12 time: 0.4303 data_time: 0.0160 memory: 17087 grad_norm: 6.8372 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9359 loss: 0.9359 2022/08/04 21:14:39 - mmengine - INFO - Epoch(train) [157][360/1879] lr: 1.0000e-04 eta: 22:32:03 time: 0.4331 data_time: 0.0175 memory: 17087 grad_norm: 6.7506 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8553 loss: 0.8553 2022/08/04 21:14:47 - mmengine - INFO - Epoch(train) [157][380/1879] lr: 1.0000e-04 eta: 22:31:54 time: 0.4280 data_time: 0.0149 memory: 17087 grad_norm: 6.7228 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7493 loss: 0.7493 2022/08/04 21:14:56 - mmengine - INFO - Epoch(train) [157][400/1879] lr: 1.0000e-04 eta: 22:31:46 time: 0.4319 data_time: 0.0171 memory: 17087 grad_norm: 6.5229 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8640 loss: 0.8640 2022/08/04 21:15:05 - mmengine - INFO - Epoch(train) [157][420/1879] lr: 1.0000e-04 eta: 22:31:37 time: 0.4391 data_time: 0.0150 memory: 17087 grad_norm: 6.8413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0114 loss: 1.0114 2022/08/04 21:15:13 - mmengine - INFO - Epoch(train) [157][440/1879] lr: 1.0000e-04 eta: 22:31:29 time: 0.4327 data_time: 0.0173 memory: 17087 grad_norm: 6.6624 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8558 loss: 0.8558 2022/08/04 21:15:22 - mmengine - INFO - Epoch(train) [157][460/1879] lr: 1.0000e-04 eta: 22:31:20 time: 0.4347 data_time: 0.0152 memory: 17087 grad_norm: 6.6967 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8081 loss: 0.8081 2022/08/04 21:15:31 - mmengine - INFO - Epoch(train) [157][480/1879] lr: 1.0000e-04 eta: 22:31:11 time: 0.4298 data_time: 0.0186 memory: 17087 grad_norm: 6.4451 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9111 loss: 0.9111 2022/08/04 21:15:39 - mmengine - INFO - Epoch(train) [157][500/1879] lr: 1.0000e-04 eta: 22:31:03 time: 0.4327 data_time: 0.0173 memory: 17087 grad_norm: 6.5887 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7850 loss: 0.7850 2022/08/04 21:15:49 - mmengine - INFO - Epoch(train) [157][520/1879] lr: 1.0000e-04 eta: 22:30:54 time: 0.4666 data_time: 0.0188 memory: 17087 grad_norm: 6.4419 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0071 loss: 1.0071 2022/08/04 21:15:57 - mmengine - INFO - Epoch(train) [157][540/1879] lr: 1.0000e-04 eta: 22:30:46 time: 0.4327 data_time: 0.0187 memory: 17087 grad_norm: 6.4132 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9219 loss: 0.9219 2022/08/04 21:16:06 - mmengine - INFO - Epoch(train) [157][560/1879] lr: 1.0000e-04 eta: 22:30:37 time: 0.4406 data_time: 0.0160 memory: 17087 grad_norm: 6.8160 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7552 loss: 0.7552 2022/08/04 21:16:15 - mmengine - INFO - Epoch(train) [157][580/1879] lr: 1.0000e-04 eta: 22:30:29 time: 0.4300 data_time: 0.0162 memory: 17087 grad_norm: 6.8600 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9427 loss: 0.9427 2022/08/04 21:16:23 - mmengine - INFO - Epoch(train) [157][600/1879] lr: 1.0000e-04 eta: 22:30:20 time: 0.4306 data_time: 0.0183 memory: 17087 grad_norm: 6.6082 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9389 loss: 0.9389 2022/08/04 21:16:32 - mmengine - INFO - Epoch(train) [157][620/1879] lr: 1.0000e-04 eta: 22:30:11 time: 0.4307 data_time: 0.0151 memory: 17087 grad_norm: 6.5100 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9163 loss: 0.9163 2022/08/04 21:16:41 - mmengine - INFO - Epoch(train) [157][640/1879] lr: 1.0000e-04 eta: 22:30:03 time: 0.4311 data_time: 0.0176 memory: 17087 grad_norm: 6.7952 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8845 loss: 0.8845 2022/08/04 21:16:50 - mmengine - INFO - Epoch(train) [157][660/1879] lr: 1.0000e-04 eta: 22:29:54 time: 0.4457 data_time: 0.0153 memory: 17087 grad_norm: 6.8485 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8771 loss: 0.8771 2022/08/04 21:16:58 - mmengine - INFO - Epoch(train) [157][680/1879] lr: 1.0000e-04 eta: 22:29:45 time: 0.4319 data_time: 0.0166 memory: 17087 grad_norm: 6.6112 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7655 loss: 0.7655 2022/08/04 21:17:07 - mmengine - INFO - Epoch(train) [157][700/1879] lr: 1.0000e-04 eta: 22:29:37 time: 0.4302 data_time: 0.0150 memory: 17087 grad_norm: 9.0004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8746 loss: 0.8746 2022/08/04 21:17:16 - mmengine - INFO - Epoch(train) [157][720/1879] lr: 1.0000e-04 eta: 22:29:28 time: 0.4335 data_time: 0.0156 memory: 17087 grad_norm: 6.4236 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7238 loss: 0.7238 2022/08/04 21:17:24 - mmengine - INFO - Epoch(train) [157][740/1879] lr: 1.0000e-04 eta: 22:29:19 time: 0.4336 data_time: 0.0186 memory: 17087 grad_norm: 6.4489 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8250 loss: 0.8250 2022/08/04 21:17:33 - mmengine - INFO - Epoch(train) [157][760/1879] lr: 1.0000e-04 eta: 22:29:11 time: 0.4309 data_time: 0.0159 memory: 17087 grad_norm: 6.8123 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8664 loss: 0.8664 2022/08/04 21:17:44 - mmengine - INFO - Epoch(train) [157][780/1879] lr: 1.0000e-04 eta: 22:29:03 time: 0.5287 data_time: 0.0168 memory: 17087 grad_norm: 6.9345 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0372 loss: 1.0372 2022/08/04 21:17:52 - mmengine - INFO - Epoch(train) [157][800/1879] lr: 1.0000e-04 eta: 22:28:55 time: 0.4319 data_time: 0.0165 memory: 17087 grad_norm: 6.6120 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8399 loss: 0.8399 2022/08/04 21:18:01 - mmengine - INFO - Epoch(train) [157][820/1879] lr: 1.0000e-04 eta: 22:28:46 time: 0.4284 data_time: 0.0150 memory: 17087 grad_norm: 6.6039 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7150 loss: 0.7150 2022/08/04 21:18:09 - mmengine - INFO - Epoch(train) [157][840/1879] lr: 1.0000e-04 eta: 22:28:37 time: 0.4313 data_time: 0.0179 memory: 17087 grad_norm: 6.6322 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8028 loss: 0.8028 2022/08/04 21:18:18 - mmengine - INFO - Epoch(train) [157][860/1879] lr: 1.0000e-04 eta: 22:28:29 time: 0.4327 data_time: 0.0162 memory: 17087 grad_norm: 6.5360 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6645 loss: 0.6645 2022/08/04 21:18:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 21:18:27 - mmengine - INFO - Epoch(train) [157][880/1879] lr: 1.0000e-04 eta: 22:28:20 time: 0.4301 data_time: 0.0162 memory: 17087 grad_norm: 6.6855 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7697 loss: 0.7697 2022/08/04 21:18:36 - mmengine - INFO - Epoch(train) [157][900/1879] lr: 1.0000e-04 eta: 22:28:11 time: 0.4388 data_time: 0.0154 memory: 17087 grad_norm: 6.7317 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9423 loss: 0.9423 2022/08/04 21:18:44 - mmengine - INFO - Epoch(train) [157][920/1879] lr: 1.0000e-04 eta: 22:28:03 time: 0.4353 data_time: 0.0211 memory: 17087 grad_norm: 6.4731 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9113 loss: 0.9113 2022/08/04 21:18:53 - mmengine - INFO - Epoch(train) [157][940/1879] lr: 1.0000e-04 eta: 22:27:54 time: 0.4364 data_time: 0.0160 memory: 17087 grad_norm: 6.6022 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9421 loss: 0.9421 2022/08/04 21:19:02 - mmengine - INFO - Epoch(train) [157][960/1879] lr: 1.0000e-04 eta: 22:27:45 time: 0.4302 data_time: 0.0155 memory: 17087 grad_norm: 6.7399 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9199 loss: 0.9199 2022/08/04 21:19:10 - mmengine - INFO - Epoch(train) [157][980/1879] lr: 1.0000e-04 eta: 22:27:37 time: 0.4331 data_time: 0.0151 memory: 17087 grad_norm: 6.9186 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9913 loss: 0.9913 2022/08/04 21:19:19 - mmengine - INFO - Epoch(train) [157][1000/1879] lr: 1.0000e-04 eta: 22:27:28 time: 0.4308 data_time: 0.0162 memory: 17087 grad_norm: 6.5330 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7839 loss: 0.7839 2022/08/04 21:19:28 - mmengine - INFO - Epoch(train) [157][1020/1879] lr: 1.0000e-04 eta: 22:27:20 time: 0.4437 data_time: 0.0150 memory: 17087 grad_norm: 6.6616 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8693 loss: 0.8693 2022/08/04 21:19:36 - mmengine - INFO - Epoch(train) [157][1040/1879] lr: 1.0000e-04 eta: 22:27:11 time: 0.4291 data_time: 0.0157 memory: 17087 grad_norm: 6.4942 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9214 loss: 0.9214 2022/08/04 21:19:45 - mmengine - INFO - Epoch(train) [157][1060/1879] lr: 1.0000e-04 eta: 22:27:02 time: 0.4371 data_time: 0.0156 memory: 17087 grad_norm: 6.3820 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9590 loss: 0.9590 2022/08/04 21:19:54 - mmengine - INFO - Epoch(train) [157][1080/1879] lr: 1.0000e-04 eta: 22:26:54 time: 0.4297 data_time: 0.0154 memory: 17087 grad_norm: 6.5775 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8244 loss: 0.8244 2022/08/04 21:20:02 - mmengine - INFO - Epoch(train) [157][1100/1879] lr: 1.0000e-04 eta: 22:26:45 time: 0.4332 data_time: 0.0163 memory: 17087 grad_norm: 6.6047 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8896 loss: 0.8896 2022/08/04 21:20:11 - mmengine - INFO - Epoch(train) [157][1120/1879] lr: 1.0000e-04 eta: 22:26:36 time: 0.4293 data_time: 0.0149 memory: 17087 grad_norm: 6.7820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8162 loss: 0.8162 2022/08/04 21:20:20 - mmengine - INFO - Epoch(train) [157][1140/1879] lr: 1.0000e-04 eta: 22:26:28 time: 0.4300 data_time: 0.0153 memory: 17087 grad_norm: 6.7406 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.7886 loss: 0.7886 2022/08/04 21:20:28 - mmengine - INFO - Epoch(train) [157][1160/1879] lr: 1.0000e-04 eta: 22:26:19 time: 0.4276 data_time: 0.0150 memory: 17087 grad_norm: 6.6093 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0405 loss: 1.0405 2022/08/04 21:20:37 - mmengine - INFO - Epoch(train) [157][1180/1879] lr: 1.0000e-04 eta: 22:26:10 time: 0.4394 data_time: 0.0196 memory: 17087 grad_norm: 6.6987 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8828 loss: 0.8828 2022/08/04 21:20:46 - mmengine - INFO - Epoch(train) [157][1200/1879] lr: 1.0000e-04 eta: 22:26:02 time: 0.4290 data_time: 0.0156 memory: 17087 grad_norm: 6.6137 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7434 loss: 0.7434 2022/08/04 21:20:55 - mmengine - INFO - Epoch(train) [157][1220/1879] lr: 1.0000e-04 eta: 22:25:53 time: 0.4482 data_time: 0.0157 memory: 17087 grad_norm: 6.8099 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7357 loss: 0.7357 2022/08/04 21:21:03 - mmengine - INFO - Epoch(train) [157][1240/1879] lr: 1.0000e-04 eta: 22:25:45 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 6.6518 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9470 loss: 0.9470 2022/08/04 21:21:12 - mmengine - INFO - Epoch(train) [157][1260/1879] lr: 1.0000e-04 eta: 22:25:36 time: 0.4328 data_time: 0.0189 memory: 17087 grad_norm: 6.5918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8107 loss: 0.8107 2022/08/04 21:21:21 - mmengine - INFO - Epoch(train) [157][1280/1879] lr: 1.0000e-04 eta: 22:25:27 time: 0.4453 data_time: 0.0165 memory: 17087 grad_norm: 6.4446 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7930 loss: 0.7930 2022/08/04 21:21:29 - mmengine - INFO - Epoch(train) [157][1300/1879] lr: 1.0000e-04 eta: 22:25:19 time: 0.4287 data_time: 0.0165 memory: 17087 grad_norm: 6.9677 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0091 loss: 1.0091 2022/08/04 21:21:38 - mmengine - INFO - Epoch(train) [157][1320/1879] lr: 1.0000e-04 eta: 22:25:10 time: 0.4499 data_time: 0.0159 memory: 17087 grad_norm: 6.8681 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8028 loss: 0.8028 2022/08/04 21:21:47 - mmengine - INFO - Epoch(train) [157][1340/1879] lr: 1.0000e-04 eta: 22:25:02 time: 0.4284 data_time: 0.0149 memory: 17087 grad_norm: 6.5459 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9033 loss: 0.9033 2022/08/04 21:21:56 - mmengine - INFO - Epoch(train) [157][1360/1879] lr: 1.0000e-04 eta: 22:24:53 time: 0.4307 data_time: 0.0167 memory: 17087 grad_norm: 6.8091 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9944 loss: 0.9944 2022/08/04 21:22:04 - mmengine - INFO - Epoch(train) [157][1380/1879] lr: 1.0000e-04 eta: 22:24:44 time: 0.4307 data_time: 0.0159 memory: 17087 grad_norm: 6.6742 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7361 loss: 0.7361 2022/08/04 21:22:13 - mmengine - INFO - Epoch(train) [157][1400/1879] lr: 1.0000e-04 eta: 22:24:36 time: 0.4404 data_time: 0.0154 memory: 17087 grad_norm: 6.5115 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6989 loss: 0.6989 2022/08/04 21:22:22 - mmengine - INFO - Epoch(train) [157][1420/1879] lr: 1.0000e-04 eta: 22:24:27 time: 0.4293 data_time: 0.0155 memory: 17087 grad_norm: 6.4354 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7750 loss: 0.7750 2022/08/04 21:22:31 - mmengine - INFO - Epoch(train) [157][1440/1879] lr: 1.0000e-04 eta: 22:24:19 time: 0.4473 data_time: 0.0167 memory: 17087 grad_norm: 6.6540 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7740 loss: 0.7740 2022/08/04 21:22:39 - mmengine - INFO - Epoch(train) [157][1460/1879] lr: 1.0000e-04 eta: 22:24:10 time: 0.4313 data_time: 0.0145 memory: 17087 grad_norm: 6.6253 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9392 loss: 0.9392 2022/08/04 21:22:48 - mmengine - INFO - Epoch(train) [157][1480/1879] lr: 1.0000e-04 eta: 22:24:01 time: 0.4348 data_time: 0.0176 memory: 17087 grad_norm: 6.7301 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8520 loss: 0.8520 2022/08/04 21:22:57 - mmengine - INFO - Epoch(train) [157][1500/1879] lr: 1.0000e-04 eta: 22:23:53 time: 0.4282 data_time: 0.0141 memory: 17087 grad_norm: 6.6675 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6978 loss: 0.6978 2022/08/04 21:23:06 - mmengine - INFO - Epoch(train) [157][1520/1879] lr: 1.0000e-04 eta: 22:23:44 time: 0.4500 data_time: 0.0167 memory: 17087 grad_norm: 6.6868 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8961 loss: 0.8961 2022/08/04 21:23:14 - mmengine - INFO - Epoch(train) [157][1540/1879] lr: 1.0000e-04 eta: 22:23:35 time: 0.4291 data_time: 0.0166 memory: 17087 grad_norm: 6.7413 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8729 loss: 0.8729 2022/08/04 21:23:23 - mmengine - INFO - Epoch(train) [157][1560/1879] lr: 1.0000e-04 eta: 22:23:27 time: 0.4483 data_time: 0.0220 memory: 17087 grad_norm: 6.4418 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7386 loss: 0.7386 2022/08/04 21:23:32 - mmengine - INFO - Epoch(train) [157][1580/1879] lr: 1.0000e-04 eta: 22:23:18 time: 0.4293 data_time: 0.0144 memory: 17087 grad_norm: 6.7307 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9277 loss: 0.9277 2022/08/04 21:23:41 - mmengine - INFO - Epoch(train) [157][1600/1879] lr: 1.0000e-04 eta: 22:23:10 time: 0.4329 data_time: 0.0157 memory: 17087 grad_norm: 6.6904 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9445 loss: 0.9445 2022/08/04 21:23:49 - mmengine - INFO - Epoch(train) [157][1620/1879] lr: 1.0000e-04 eta: 22:23:01 time: 0.4313 data_time: 0.0140 memory: 17087 grad_norm: 6.7423 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8447 loss: 0.8447 2022/08/04 21:23:58 - mmengine - INFO - Epoch(train) [157][1640/1879] lr: 1.0000e-04 eta: 22:22:52 time: 0.4292 data_time: 0.0155 memory: 17087 grad_norm: 6.6592 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7593 loss: 0.7593 2022/08/04 21:24:06 - mmengine - INFO - Epoch(train) [157][1660/1879] lr: 1.0000e-04 eta: 22:22:44 time: 0.4333 data_time: 0.0149 memory: 17087 grad_norm: 6.8966 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8874 loss: 0.8874 2022/08/04 21:24:15 - mmengine - INFO - Epoch(train) [157][1680/1879] lr: 1.0000e-04 eta: 22:22:35 time: 0.4320 data_time: 0.0191 memory: 17087 grad_norm: 6.5361 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0441 loss: 1.0441 2022/08/04 21:24:24 - mmengine - INFO - Epoch(train) [157][1700/1879] lr: 1.0000e-04 eta: 22:22:27 time: 0.4601 data_time: 0.0165 memory: 17087 grad_norm: 6.5568 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9900 loss: 0.9900 2022/08/04 21:24:33 - mmengine - INFO - Epoch(train) [157][1720/1879] lr: 1.0000e-04 eta: 22:22:18 time: 0.4362 data_time: 0.0167 memory: 17087 grad_norm: 6.5951 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9479 loss: 0.9479 2022/08/04 21:24:42 - mmengine - INFO - Epoch(train) [157][1740/1879] lr: 1.0000e-04 eta: 22:22:09 time: 0.4276 data_time: 0.0145 memory: 17087 grad_norm: 6.8433 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9463 loss: 0.9463 2022/08/04 21:24:50 - mmengine - INFO - Epoch(train) [157][1760/1879] lr: 1.0000e-04 eta: 22:22:01 time: 0.4318 data_time: 0.0175 memory: 17087 grad_norm: 6.5327 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8915 loss: 0.8915 2022/08/04 21:24:59 - mmengine - INFO - Epoch(train) [157][1780/1879] lr: 1.0000e-04 eta: 22:21:52 time: 0.4340 data_time: 0.0149 memory: 17087 grad_norm: 6.7445 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9143 loss: 0.9143 2022/08/04 21:25:08 - mmengine - INFO - Epoch(train) [157][1800/1879] lr: 1.0000e-04 eta: 22:21:43 time: 0.4374 data_time: 0.0172 memory: 17087 grad_norm: 6.5379 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7895 loss: 0.7895 2022/08/04 21:25:16 - mmengine - INFO - Epoch(train) [157][1820/1879] lr: 1.0000e-04 eta: 22:21:35 time: 0.4283 data_time: 0.0149 memory: 17087 grad_norm: 6.8102 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8776 loss: 0.8776 2022/08/04 21:25:25 - mmengine - INFO - Epoch(train) [157][1840/1879] lr: 1.0000e-04 eta: 22:21:26 time: 0.4398 data_time: 0.0195 memory: 17087 grad_norm: 6.8269 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7748 loss: 0.7748 2022/08/04 21:25:34 - mmengine - INFO - Epoch(train) [157][1860/1879] lr: 1.0000e-04 eta: 22:21:17 time: 0.4300 data_time: 0.0153 memory: 17087 grad_norm: 6.7290 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8446 loss: 0.8446 2022/08/04 21:25:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 21:25:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 21:25:42 - mmengine - INFO - Epoch(train) [157][1879/1879] lr: 1.0000e-04 eta: 22:21:17 time: 0.4150 data_time: 0.0194 memory: 17087 grad_norm: 7.0102 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9102 loss: 0.9102 2022/08/04 21:25:53 - mmengine - INFO - Epoch(train) [158][20/1879] lr: 1.0000e-04 eta: 22:20:57 time: 0.5882 data_time: 0.1312 memory: 17087 grad_norm: 6.7477 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8455 loss: 0.8455 2022/08/04 21:26:02 - mmengine - INFO - Epoch(train) [158][40/1879] lr: 1.0000e-04 eta: 22:20:49 time: 0.4300 data_time: 0.0160 memory: 17087 grad_norm: 6.6482 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8790 loss: 0.8790 2022/08/04 21:26:11 - mmengine - INFO - Epoch(train) [158][60/1879] lr: 1.0000e-04 eta: 22:20:40 time: 0.4309 data_time: 0.0149 memory: 17087 grad_norm: 6.5230 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7949 loss: 0.7949 2022/08/04 21:26:19 - mmengine - INFO - Epoch(train) [158][80/1879] lr: 1.0000e-04 eta: 22:20:31 time: 0.4297 data_time: 0.0171 memory: 17087 grad_norm: 6.4459 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7327 loss: 0.7327 2022/08/04 21:26:28 - mmengine - INFO - Epoch(train) [158][100/1879] lr: 1.0000e-04 eta: 22:20:23 time: 0.4282 data_time: 0.0157 memory: 17087 grad_norm: 6.7225 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8800 loss: 0.8800 2022/08/04 21:26:37 - mmengine - INFO - Epoch(train) [158][120/1879] lr: 1.0000e-04 eta: 22:20:14 time: 0.4416 data_time: 0.0173 memory: 17087 grad_norm: 6.6715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8488 loss: 0.8488 2022/08/04 21:26:45 - mmengine - INFO - Epoch(train) [158][140/1879] lr: 1.0000e-04 eta: 22:20:05 time: 0.4290 data_time: 0.0135 memory: 17087 grad_norm: 6.5704 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0572 loss: 1.0572 2022/08/04 21:26:54 - mmengine - INFO - Epoch(train) [158][160/1879] lr: 1.0000e-04 eta: 22:19:57 time: 0.4410 data_time: 0.0168 memory: 17087 grad_norm: 6.9571 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7433 loss: 0.7433 2022/08/04 21:27:03 - mmengine - INFO - Epoch(train) [158][180/1879] lr: 1.0000e-04 eta: 22:19:48 time: 0.4299 data_time: 0.0140 memory: 17087 grad_norm: 6.9342 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8387 loss: 0.8387 2022/08/04 21:27:11 - mmengine - INFO - Epoch(train) [158][200/1879] lr: 1.0000e-04 eta: 22:19:39 time: 0.4304 data_time: 0.0166 memory: 17087 grad_norm: 6.7463 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9312 loss: 0.9312 2022/08/04 21:27:20 - mmengine - INFO - Epoch(train) [158][220/1879] lr: 1.0000e-04 eta: 22:19:31 time: 0.4484 data_time: 0.0148 memory: 17087 grad_norm: 6.7381 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8659 loss: 0.8659 2022/08/04 21:27:29 - mmengine - INFO - Epoch(train) [158][240/1879] lr: 1.0000e-04 eta: 22:19:22 time: 0.4367 data_time: 0.0170 memory: 17087 grad_norm: 6.9572 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8273 loss: 0.8273 2022/08/04 21:27:38 - mmengine - INFO - Epoch(train) [158][260/1879] lr: 1.0000e-04 eta: 22:19:14 time: 0.4296 data_time: 0.0162 memory: 17087 grad_norm: 6.7741 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9337 loss: 0.9337 2022/08/04 21:27:46 - mmengine - INFO - Epoch(train) [158][280/1879] lr: 1.0000e-04 eta: 22:19:05 time: 0.4340 data_time: 0.0173 memory: 17087 grad_norm: 6.5570 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9025 loss: 0.9025 2022/08/04 21:27:55 - mmengine - INFO - Epoch(train) [158][300/1879] lr: 1.0000e-04 eta: 22:18:56 time: 0.4318 data_time: 0.0140 memory: 17087 grad_norm: 6.5661 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7903 loss: 0.7903 2022/08/04 21:28:04 - mmengine - INFO - Epoch(train) [158][320/1879] lr: 1.0000e-04 eta: 22:18:48 time: 0.4312 data_time: 0.0184 memory: 17087 grad_norm: 6.8966 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8752 loss: 0.8752 2022/08/04 21:28:12 - mmengine - INFO - Epoch(train) [158][340/1879] lr: 1.0000e-04 eta: 22:18:39 time: 0.4275 data_time: 0.0149 memory: 17087 grad_norm: 6.6055 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8148 loss: 0.8148 2022/08/04 21:28:21 - mmengine - INFO - Epoch(train) [158][360/1879] lr: 1.0000e-04 eta: 22:18:31 time: 0.4409 data_time: 0.0152 memory: 17087 grad_norm: 6.8032 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9134 loss: 0.9134 2022/08/04 21:28:30 - mmengine - INFO - Epoch(train) [158][380/1879] lr: 1.0000e-04 eta: 22:18:22 time: 0.4302 data_time: 0.0181 memory: 17087 grad_norm: 6.7132 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8105 loss: 0.8105 2022/08/04 21:28:38 - mmengine - INFO - Epoch(train) [158][400/1879] lr: 1.0000e-04 eta: 22:18:13 time: 0.4329 data_time: 0.0155 memory: 17087 grad_norm: 6.4798 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8490 loss: 0.8490 2022/08/04 21:28:47 - mmengine - INFO - Epoch(train) [158][420/1879] lr: 1.0000e-04 eta: 22:18:04 time: 0.4289 data_time: 0.0136 memory: 17087 grad_norm: 6.5692 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0636 loss: 1.0636 2022/08/04 21:28:56 - mmengine - INFO - Epoch(train) [158][440/1879] lr: 1.0000e-04 eta: 22:17:56 time: 0.4307 data_time: 0.0166 memory: 17087 grad_norm: 6.6980 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9952 loss: 0.9952 2022/08/04 21:29:04 - mmengine - INFO - Epoch(train) [158][460/1879] lr: 1.0000e-04 eta: 22:17:47 time: 0.4328 data_time: 0.0153 memory: 17087 grad_norm: 6.7845 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8543 loss: 0.8543 2022/08/04 21:29:13 - mmengine - INFO - Epoch(train) [158][480/1879] lr: 1.0000e-04 eta: 22:17:38 time: 0.4288 data_time: 0.0162 memory: 17087 grad_norm: 6.8499 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8998 loss: 0.8998 2022/08/04 21:29:22 - mmengine - INFO - Epoch(train) [158][500/1879] lr: 1.0000e-04 eta: 22:17:30 time: 0.4295 data_time: 0.0164 memory: 17087 grad_norm: 6.6382 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9107 loss: 0.9107 2022/08/04 21:29:31 - mmengine - INFO - Epoch(train) [158][520/1879] lr: 1.0000e-04 eta: 22:17:21 time: 0.4545 data_time: 0.0157 memory: 17087 grad_norm: 6.6808 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9654 loss: 0.9654 2022/08/04 21:29:39 - mmengine - INFO - Epoch(train) [158][540/1879] lr: 1.0000e-04 eta: 22:17:13 time: 0.4399 data_time: 0.0219 memory: 17087 grad_norm: 6.4733 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8838 loss: 0.8838 2022/08/04 21:29:48 - mmengine - INFO - Epoch(train) [158][560/1879] lr: 1.0000e-04 eta: 22:17:04 time: 0.4296 data_time: 0.0156 memory: 17087 grad_norm: 6.7924 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0571 loss: 1.0571 2022/08/04 21:29:57 - mmengine - INFO - Epoch(train) [158][580/1879] lr: 1.0000e-04 eta: 22:16:56 time: 0.4444 data_time: 0.0185 memory: 17087 grad_norm: 6.8551 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8360 loss: 0.8360 2022/08/04 21:30:06 - mmengine - INFO - Epoch(train) [158][600/1879] lr: 1.0000e-04 eta: 22:16:47 time: 0.4340 data_time: 0.0214 memory: 17087 grad_norm: 6.5010 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9190 loss: 0.9190 2022/08/04 21:30:14 - mmengine - INFO - Epoch(train) [158][620/1879] lr: 1.0000e-04 eta: 22:16:38 time: 0.4290 data_time: 0.0142 memory: 17087 grad_norm: 6.5339 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9510 loss: 0.9510 2022/08/04 21:30:23 - mmengine - INFO - Epoch(train) [158][640/1879] lr: 1.0000e-04 eta: 22:16:30 time: 0.4282 data_time: 0.0167 memory: 17087 grad_norm: 6.4437 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8883 loss: 0.8883 2022/08/04 21:30:31 - mmengine - INFO - Epoch(train) [158][660/1879] lr: 1.0000e-04 eta: 22:16:21 time: 0.4297 data_time: 0.0142 memory: 17087 grad_norm: 6.8143 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0022 loss: 1.0022 2022/08/04 21:30:40 - mmengine - INFO - Epoch(train) [158][680/1879] lr: 1.0000e-04 eta: 22:16:12 time: 0.4294 data_time: 0.0161 memory: 17087 grad_norm: 6.7232 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8809 loss: 0.8809 2022/08/04 21:30:49 - mmengine - INFO - Epoch(train) [158][700/1879] lr: 1.0000e-04 eta: 22:16:04 time: 0.4359 data_time: 0.0216 memory: 17087 grad_norm: 6.7287 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9308 loss: 0.9308 2022/08/04 21:30:57 - mmengine - INFO - Epoch(train) [158][720/1879] lr: 1.0000e-04 eta: 22:15:55 time: 0.4303 data_time: 0.0164 memory: 17087 grad_norm: 6.4935 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8895 loss: 0.8895 2022/08/04 21:31:06 - mmengine - INFO - Epoch(train) [158][740/1879] lr: 1.0000e-04 eta: 22:15:46 time: 0.4292 data_time: 0.0170 memory: 17087 grad_norm: 6.5614 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0015 loss: 1.0015 2022/08/04 21:31:15 - mmengine - INFO - Epoch(train) [158][760/1879] lr: 1.0000e-04 eta: 22:15:38 time: 0.4304 data_time: 0.0161 memory: 17087 grad_norm: 6.6679 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9303 loss: 0.9303 2022/08/04 21:31:23 - mmengine - INFO - Epoch(train) [158][780/1879] lr: 1.0000e-04 eta: 22:15:29 time: 0.4275 data_time: 0.0137 memory: 17087 grad_norm: 6.7540 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8554 loss: 0.8554 2022/08/04 21:31:32 - mmengine - INFO - Epoch(train) [158][800/1879] lr: 1.0000e-04 eta: 22:15:20 time: 0.4304 data_time: 0.0180 memory: 17087 grad_norm: 6.3631 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8890 loss: 0.8890 2022/08/04 21:31:40 - mmengine - INFO - Epoch(train) [158][820/1879] lr: 1.0000e-04 eta: 22:15:12 time: 0.4301 data_time: 0.0154 memory: 17087 grad_norm: 6.5877 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8143 loss: 0.8143 2022/08/04 21:31:49 - mmengine - INFO - Epoch(train) [158][840/1879] lr: 1.0000e-04 eta: 22:15:03 time: 0.4504 data_time: 0.0176 memory: 17087 grad_norm: 6.5639 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7953 loss: 0.7953 2022/08/04 21:31:58 - mmengine - INFO - Epoch(train) [158][860/1879] lr: 1.0000e-04 eta: 22:14:54 time: 0.4281 data_time: 0.0153 memory: 17087 grad_norm: 6.7047 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9185 loss: 0.9185 2022/08/04 21:32:07 - mmengine - INFO - Epoch(train) [158][880/1879] lr: 1.0000e-04 eta: 22:14:46 time: 0.4316 data_time: 0.0165 memory: 17087 grad_norm: 6.7156 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7027 loss: 0.7027 2022/08/04 21:32:15 - mmengine - INFO - Epoch(train) [158][900/1879] lr: 1.0000e-04 eta: 22:14:37 time: 0.4299 data_time: 0.0147 memory: 17087 grad_norm: 6.7681 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7057 loss: 0.7057 2022/08/04 21:32:24 - mmengine - INFO - Epoch(train) [158][920/1879] lr: 1.0000e-04 eta: 22:14:29 time: 0.4561 data_time: 0.0179 memory: 17087 grad_norm: 6.6169 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8347 loss: 0.8347 2022/08/04 21:32:33 - mmengine - INFO - Epoch(train) [158][940/1879] lr: 1.0000e-04 eta: 22:14:20 time: 0.4270 data_time: 0.0141 memory: 17087 grad_norm: 6.2278 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9674 loss: 0.9674 2022/08/04 21:32:42 - mmengine - INFO - Epoch(train) [158][960/1879] lr: 1.0000e-04 eta: 22:14:11 time: 0.4298 data_time: 0.0161 memory: 17087 grad_norm: 6.5559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9241 loss: 0.9241 2022/08/04 21:32:51 - mmengine - INFO - Epoch(train) [158][980/1879] lr: 1.0000e-04 eta: 22:14:03 time: 0.4675 data_time: 0.0208 memory: 17087 grad_norm: 6.7092 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0602 loss: 1.0602 2022/08/04 21:32:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 21:33:00 - mmengine - INFO - Epoch(train) [158][1000/1879] lr: 1.0000e-04 eta: 22:13:54 time: 0.4320 data_time: 0.0175 memory: 17087 grad_norm: 6.6404 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9578 loss: 0.9578 2022/08/04 21:33:08 - mmengine - INFO - Epoch(train) [158][1020/1879] lr: 1.0000e-04 eta: 22:13:46 time: 0.4337 data_time: 0.0161 memory: 17087 grad_norm: 6.8979 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8943 loss: 0.8943 2022/08/04 21:33:17 - mmengine - INFO - Epoch(train) [158][1040/1879] lr: 1.0000e-04 eta: 22:13:37 time: 0.4291 data_time: 0.0159 memory: 17087 grad_norm: 6.7663 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9015 loss: 0.9015 2022/08/04 21:33:26 - mmengine - INFO - Epoch(train) [158][1060/1879] lr: 1.0000e-04 eta: 22:13:28 time: 0.4305 data_time: 0.0155 memory: 17087 grad_norm: 6.6995 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8725 loss: 0.8725 2022/08/04 21:33:34 - mmengine - INFO - Epoch(train) [158][1080/1879] lr: 1.0000e-04 eta: 22:13:20 time: 0.4309 data_time: 0.0155 memory: 17087 grad_norm: 6.8660 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9267 loss: 0.9267 2022/08/04 21:33:43 - mmengine - INFO - Epoch(train) [158][1100/1879] lr: 1.0000e-04 eta: 22:13:11 time: 0.4267 data_time: 0.0131 memory: 17087 grad_norm: 6.4627 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8352 loss: 0.8352 2022/08/04 21:33:52 - mmengine - INFO - Epoch(train) [158][1120/1879] lr: 1.0000e-04 eta: 22:13:02 time: 0.4385 data_time: 0.0168 memory: 17087 grad_norm: 6.8733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9140 loss: 0.9140 2022/08/04 21:34:00 - mmengine - INFO - Epoch(train) [158][1140/1879] lr: 1.0000e-04 eta: 22:12:54 time: 0.4300 data_time: 0.0154 memory: 17087 grad_norm: 6.5808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7785 loss: 0.7785 2022/08/04 21:34:09 - mmengine - INFO - Epoch(train) [158][1160/1879] lr: 1.0000e-04 eta: 22:12:45 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 6.8315 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9610 loss: 0.9610 2022/08/04 21:34:18 - mmengine - INFO - Epoch(train) [158][1180/1879] lr: 1.0000e-04 eta: 22:12:36 time: 0.4386 data_time: 0.0148 memory: 17087 grad_norm: 6.7708 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8388 loss: 0.8388 2022/08/04 21:34:26 - mmengine - INFO - Epoch(train) [158][1200/1879] lr: 1.0000e-04 eta: 22:12:28 time: 0.4301 data_time: 0.0156 memory: 17087 grad_norm: 6.7241 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9175 loss: 0.9175 2022/08/04 21:34:35 - mmengine - INFO - Epoch(train) [158][1220/1879] lr: 1.0000e-04 eta: 22:12:19 time: 0.4277 data_time: 0.0142 memory: 17087 grad_norm: 6.6136 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8561 loss: 0.8561 2022/08/04 21:34:43 - mmengine - INFO - Epoch(train) [158][1240/1879] lr: 1.0000e-04 eta: 22:12:10 time: 0.4335 data_time: 0.0167 memory: 17087 grad_norm: 6.6690 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7272 loss: 0.7272 2022/08/04 21:34:52 - mmengine - INFO - Epoch(train) [158][1260/1879] lr: 1.0000e-04 eta: 22:12:02 time: 0.4446 data_time: 0.0139 memory: 17087 grad_norm: 6.8917 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9055 loss: 0.9055 2022/08/04 21:35:01 - mmengine - INFO - Epoch(train) [158][1280/1879] lr: 1.0000e-04 eta: 22:11:53 time: 0.4292 data_time: 0.0155 memory: 17087 grad_norm: 6.8031 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8805 loss: 0.8805 2022/08/04 21:35:10 - mmengine - INFO - Epoch(train) [158][1300/1879] lr: 1.0000e-04 eta: 22:11:45 time: 0.4561 data_time: 0.0160 memory: 17087 grad_norm: 6.6011 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8398 loss: 0.8398 2022/08/04 21:35:19 - mmengine - INFO - Epoch(train) [158][1320/1879] lr: 1.0000e-04 eta: 22:11:36 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 6.8157 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9070 loss: 0.9070 2022/08/04 21:35:28 - mmengine - INFO - Epoch(train) [158][1340/1879] lr: 1.0000e-04 eta: 22:11:28 time: 0.4445 data_time: 0.0160 memory: 17087 grad_norm: 6.7396 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8868 loss: 0.8868 2022/08/04 21:35:36 - mmengine - INFO - Epoch(train) [158][1360/1879] lr: 1.0000e-04 eta: 22:11:19 time: 0.4292 data_time: 0.0160 memory: 17087 grad_norm: 6.6126 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8316 loss: 0.8316 2022/08/04 21:35:45 - mmengine - INFO - Epoch(train) [158][1380/1879] lr: 1.0000e-04 eta: 22:11:11 time: 0.4546 data_time: 0.0134 memory: 17087 grad_norm: 6.7967 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0074 loss: 1.0074 2022/08/04 21:35:54 - mmengine - INFO - Epoch(train) [158][1400/1879] lr: 1.0000e-04 eta: 22:11:02 time: 0.4287 data_time: 0.0156 memory: 17087 grad_norm: 6.8108 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8715 loss: 0.8715 2022/08/04 21:36:03 - mmengine - INFO - Epoch(train) [158][1420/1879] lr: 1.0000e-04 eta: 22:10:53 time: 0.4330 data_time: 0.0146 memory: 17087 grad_norm: 6.7712 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8210 loss: 0.8210 2022/08/04 21:36:12 - mmengine - INFO - Epoch(train) [158][1440/1879] lr: 1.0000e-04 eta: 22:10:45 time: 0.4576 data_time: 0.0175 memory: 17087 grad_norm: 6.8285 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7978 loss: 0.7978 2022/08/04 21:36:20 - mmengine - INFO - Epoch(train) [158][1460/1879] lr: 1.0000e-04 eta: 22:10:36 time: 0.4305 data_time: 0.0173 memory: 17087 grad_norm: 6.4841 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8286 loss: 0.8286 2022/08/04 21:36:29 - mmengine - INFO - Epoch(train) [158][1480/1879] lr: 1.0000e-04 eta: 22:10:28 time: 0.4414 data_time: 0.0170 memory: 17087 grad_norm: 6.7851 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9409 loss: 0.9409 2022/08/04 21:36:38 - mmengine - INFO - Epoch(train) [158][1500/1879] lr: 1.0000e-04 eta: 22:10:19 time: 0.4298 data_time: 0.0153 memory: 17087 grad_norm: 6.3936 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7100 loss: 0.7100 2022/08/04 21:36:47 - mmengine - INFO - Epoch(train) [158][1520/1879] lr: 1.0000e-04 eta: 22:10:10 time: 0.4343 data_time: 0.0164 memory: 17087 grad_norm: 6.6535 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8298 loss: 0.8298 2022/08/04 21:36:55 - mmengine - INFO - Epoch(train) [158][1540/1879] lr: 1.0000e-04 eta: 22:10:02 time: 0.4291 data_time: 0.0150 memory: 17087 grad_norm: 6.7573 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0292 loss: 1.0292 2022/08/04 21:37:04 - mmengine - INFO - Epoch(train) [158][1560/1879] lr: 1.0000e-04 eta: 22:09:53 time: 0.4527 data_time: 0.0176 memory: 17087 grad_norm: 6.9228 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9227 loss: 0.9227 2022/08/04 21:37:13 - mmengine - INFO - Epoch(train) [158][1580/1879] lr: 1.0000e-04 eta: 22:09:45 time: 0.4285 data_time: 0.0165 memory: 17087 grad_norm: 6.7093 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9705 loss: 0.9705 2022/08/04 21:37:21 - mmengine - INFO - Epoch(train) [158][1600/1879] lr: 1.0000e-04 eta: 22:09:36 time: 0.4305 data_time: 0.0166 memory: 17087 grad_norm: 6.8900 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8242 loss: 0.8242 2022/08/04 21:37:30 - mmengine - INFO - Epoch(train) [158][1620/1879] lr: 1.0000e-04 eta: 22:09:27 time: 0.4300 data_time: 0.0146 memory: 17087 grad_norm: 6.6518 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7848 loss: 0.7848 2022/08/04 21:37:39 - mmengine - INFO - Epoch(train) [158][1640/1879] lr: 1.0000e-04 eta: 22:09:19 time: 0.4326 data_time: 0.0176 memory: 17087 grad_norm: 6.7115 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8417 loss: 0.8417 2022/08/04 21:37:48 - mmengine - INFO - Epoch(train) [158][1660/1879] lr: 1.0000e-04 eta: 22:09:10 time: 0.4360 data_time: 0.0144 memory: 17087 grad_norm: 6.6271 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7806 loss: 0.7806 2022/08/04 21:37:56 - mmengine - INFO - Epoch(train) [158][1680/1879] lr: 1.0000e-04 eta: 22:09:01 time: 0.4329 data_time: 0.0182 memory: 17087 grad_norm: 6.8762 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7596 loss: 0.7596 2022/08/04 21:38:05 - mmengine - INFO - Epoch(train) [158][1700/1879] lr: 1.0000e-04 eta: 22:08:53 time: 0.4274 data_time: 0.0138 memory: 17087 grad_norm: 6.5488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9296 loss: 0.9296 2022/08/04 21:38:14 - mmengine - INFO - Epoch(train) [158][1720/1879] lr: 1.0000e-04 eta: 22:08:44 time: 0.4535 data_time: 0.0206 memory: 17087 grad_norm: 6.8512 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8865 loss: 0.8865 2022/08/04 21:38:22 - mmengine - INFO - Epoch(train) [158][1740/1879] lr: 1.0000e-04 eta: 22:08:36 time: 0.4290 data_time: 0.0155 memory: 17087 grad_norm: 6.7821 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9019 loss: 0.9019 2022/08/04 21:38:31 - mmengine - INFO - Epoch(train) [158][1760/1879] lr: 1.0000e-04 eta: 22:08:27 time: 0.4317 data_time: 0.0185 memory: 17087 grad_norm: 6.4794 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8800 loss: 0.8800 2022/08/04 21:38:40 - mmengine - INFO - Epoch(train) [158][1780/1879] lr: 1.0000e-04 eta: 22:08:18 time: 0.4298 data_time: 0.0136 memory: 17087 grad_norm: 6.8867 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0393 loss: 1.0393 2022/08/04 21:38:49 - mmengine - INFO - Epoch(train) [158][1800/1879] lr: 1.0000e-04 eta: 22:08:10 time: 0.4448 data_time: 0.0167 memory: 17087 grad_norm: 6.5360 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9045 loss: 0.9045 2022/08/04 21:38:57 - mmengine - INFO - Epoch(train) [158][1820/1879] lr: 1.0000e-04 eta: 22:08:01 time: 0.4328 data_time: 0.0151 memory: 17087 grad_norm: 6.7833 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7489 loss: 0.7489 2022/08/04 21:39:06 - mmengine - INFO - Epoch(train) [158][1840/1879] lr: 1.0000e-04 eta: 22:07:52 time: 0.4305 data_time: 0.0162 memory: 17087 grad_norm: 6.8615 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8521 loss: 0.8521 2022/08/04 21:39:15 - mmengine - INFO - Epoch(train) [158][1860/1879] lr: 1.0000e-04 eta: 22:07:44 time: 0.4339 data_time: 0.0180 memory: 17087 grad_norm: 6.7592 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7975 loss: 0.7975 2022/08/04 21:39:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 21:39:22 - mmengine - INFO - Epoch(train) [158][1879/1879] lr: 1.0000e-04 eta: 22:07:44 time: 0.4096 data_time: 0.0157 memory: 17087 grad_norm: 6.7296 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.7978 loss: 0.7978 2022/08/04 21:39:33 - mmengine - INFO - Epoch(train) [159][20/1879] lr: 1.0000e-04 eta: 22:07:23 time: 0.5524 data_time: 0.1251 memory: 17087 grad_norm: 6.3974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8775 loss: 0.8775 2022/08/04 21:39:42 - mmengine - INFO - Epoch(train) [159][40/1879] lr: 1.0000e-04 eta: 22:07:15 time: 0.4294 data_time: 0.0159 memory: 17087 grad_norm: 6.7226 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8811 loss: 0.8811 2022/08/04 21:39:51 - mmengine - INFO - Epoch(train) [159][60/1879] lr: 1.0000e-04 eta: 22:07:06 time: 0.4295 data_time: 0.0142 memory: 17087 grad_norm: 6.4383 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8665 loss: 0.8665 2022/08/04 21:40:00 - mmengine - INFO - Epoch(train) [159][80/1879] lr: 1.0000e-04 eta: 22:06:57 time: 0.4510 data_time: 0.0177 memory: 17087 grad_norm: 6.6884 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9782 loss: 0.9782 2022/08/04 21:40:09 - mmengine - INFO - Epoch(train) [159][100/1879] lr: 1.0000e-04 eta: 22:06:49 time: 0.4516 data_time: 0.0131 memory: 17087 grad_norm: 6.6131 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7034 loss: 0.7034 2022/08/04 21:40:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 21:40:17 - mmengine - INFO - Epoch(train) [159][120/1879] lr: 1.0000e-04 eta: 22:06:40 time: 0.4295 data_time: 0.0156 memory: 17087 grad_norm: 6.6843 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0470 loss: 1.0470 2022/08/04 21:40:26 - mmengine - INFO - Epoch(train) [159][140/1879] lr: 1.0000e-04 eta: 22:06:32 time: 0.4377 data_time: 0.0209 memory: 17087 grad_norm: 6.5574 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8527 loss: 0.8527 2022/08/04 21:40:35 - mmengine - INFO - Epoch(train) [159][160/1879] lr: 1.0000e-04 eta: 22:06:23 time: 0.4469 data_time: 0.0169 memory: 17087 grad_norm: 6.8445 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8904 loss: 0.8904 2022/08/04 21:40:44 - mmengine - INFO - Epoch(train) [159][180/1879] lr: 1.0000e-04 eta: 22:06:15 time: 0.4304 data_time: 0.0138 memory: 17087 grad_norm: 6.5700 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7961 loss: 0.7961 2022/08/04 21:40:52 - mmengine - INFO - Epoch(train) [159][200/1879] lr: 1.0000e-04 eta: 22:06:06 time: 0.4297 data_time: 0.0161 memory: 17087 grad_norm: 6.5854 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6826 loss: 0.6826 2022/08/04 21:41:01 - mmengine - INFO - Epoch(train) [159][220/1879] lr: 1.0000e-04 eta: 22:05:57 time: 0.4333 data_time: 0.0149 memory: 17087 grad_norm: 6.7971 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8260 loss: 0.8260 2022/08/04 21:41:10 - mmengine - INFO - Epoch(train) [159][240/1879] lr: 1.0000e-04 eta: 22:05:49 time: 0.4303 data_time: 0.0155 memory: 17087 grad_norm: 6.5021 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8439 loss: 0.8439 2022/08/04 21:41:18 - mmengine - INFO - Epoch(train) [159][260/1879] lr: 1.0000e-04 eta: 22:05:40 time: 0.4331 data_time: 0.0133 memory: 17087 grad_norm: 6.6028 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8072 loss: 0.8072 2022/08/04 21:41:27 - mmengine - INFO - Epoch(train) [159][280/1879] lr: 1.0000e-04 eta: 22:05:31 time: 0.4321 data_time: 0.0174 memory: 17087 grad_norm: 6.3309 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7962 loss: 0.7962 2022/08/04 21:41:36 - mmengine - INFO - Epoch(train) [159][300/1879] lr: 1.0000e-04 eta: 22:05:23 time: 0.4515 data_time: 0.0127 memory: 17087 grad_norm: 6.8478 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9164 loss: 0.9164 2022/08/04 21:41:45 - mmengine - INFO - Epoch(train) [159][320/1879] lr: 1.0000e-04 eta: 22:05:14 time: 0.4292 data_time: 0.0161 memory: 17087 grad_norm: 6.6234 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0647 loss: 1.0647 2022/08/04 21:41:53 - mmengine - INFO - Epoch(train) [159][340/1879] lr: 1.0000e-04 eta: 22:05:05 time: 0.4279 data_time: 0.0136 memory: 17087 grad_norm: 6.6892 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8362 loss: 0.8362 2022/08/04 21:42:02 - mmengine - INFO - Epoch(train) [159][360/1879] lr: 1.0000e-04 eta: 22:04:57 time: 0.4502 data_time: 0.0162 memory: 17087 grad_norm: 6.8728 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9276 loss: 0.9276 2022/08/04 21:42:11 - mmengine - INFO - Epoch(train) [159][380/1879] lr: 1.0000e-04 eta: 22:04:48 time: 0.4272 data_time: 0.0155 memory: 17087 grad_norm: 6.7481 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8839 loss: 0.8839 2022/08/04 21:42:19 - mmengine - INFO - Epoch(train) [159][400/1879] lr: 1.0000e-04 eta: 22:04:40 time: 0.4316 data_time: 0.0181 memory: 17087 grad_norm: 6.5255 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8500 loss: 0.8500 2022/08/04 21:42:28 - mmengine - INFO - Epoch(train) [159][420/1879] lr: 1.0000e-04 eta: 22:04:31 time: 0.4286 data_time: 0.0172 memory: 17087 grad_norm: 6.7079 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7926 loss: 0.7926 2022/08/04 21:42:37 - mmengine - INFO - Epoch(train) [159][440/1879] lr: 1.0000e-04 eta: 22:04:23 time: 0.4509 data_time: 0.0160 memory: 17087 grad_norm: 6.5372 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8979 loss: 0.8979 2022/08/04 21:42:46 - mmengine - INFO - Epoch(train) [159][460/1879] lr: 1.0000e-04 eta: 22:04:14 time: 0.4273 data_time: 0.0144 memory: 17087 grad_norm: 6.4651 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8777 loss: 0.8777 2022/08/04 21:42:54 - mmengine - INFO - Epoch(train) [159][480/1879] lr: 1.0000e-04 eta: 22:04:05 time: 0.4314 data_time: 0.0163 memory: 17087 grad_norm: 6.6860 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8061 loss: 0.8061 2022/08/04 21:43:03 - mmengine - INFO - Epoch(train) [159][500/1879] lr: 1.0000e-04 eta: 22:03:56 time: 0.4279 data_time: 0.0124 memory: 17087 grad_norm: 6.6487 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7535 loss: 0.7535 2022/08/04 21:43:11 - mmengine - INFO - Epoch(train) [159][520/1879] lr: 1.0000e-04 eta: 22:03:48 time: 0.4288 data_time: 0.0158 memory: 17087 grad_norm: 6.8125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8481 loss: 0.8481 2022/08/04 21:43:21 - mmengine - INFO - Epoch(train) [159][540/1879] lr: 1.0000e-04 eta: 22:03:39 time: 0.4574 data_time: 0.0158 memory: 17087 grad_norm: 6.3754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8746 loss: 0.8746 2022/08/04 21:43:29 - mmengine - INFO - Epoch(train) [159][560/1879] lr: 1.0000e-04 eta: 22:03:31 time: 0.4308 data_time: 0.0165 memory: 17087 grad_norm: 6.6706 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8823 loss: 0.8823 2022/08/04 21:43:38 - mmengine - INFO - Epoch(train) [159][580/1879] lr: 1.0000e-04 eta: 22:03:22 time: 0.4333 data_time: 0.0125 memory: 17087 grad_norm: 6.6838 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8767 loss: 0.8767 2022/08/04 21:43:47 - mmengine - INFO - Epoch(train) [159][600/1879] lr: 1.0000e-04 eta: 22:03:13 time: 0.4292 data_time: 0.0170 memory: 17087 grad_norm: 6.6497 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8747 loss: 0.8747 2022/08/04 21:43:56 - mmengine - INFO - Epoch(train) [159][620/1879] lr: 1.0000e-04 eta: 22:03:05 time: 0.4617 data_time: 0.0161 memory: 17087 grad_norm: 6.5057 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8205 loss: 0.8205 2022/08/04 21:44:04 - mmengine - INFO - Epoch(train) [159][640/1879] lr: 1.0000e-04 eta: 22:02:56 time: 0.4292 data_time: 0.0160 memory: 17087 grad_norm: 6.5624 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7970 loss: 0.7970 2022/08/04 21:44:13 - mmengine - INFO - Epoch(train) [159][660/1879] lr: 1.0000e-04 eta: 22:02:48 time: 0.4286 data_time: 0.0144 memory: 17087 grad_norm: 6.6058 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7565 loss: 0.7565 2022/08/04 21:44:22 - mmengine - INFO - Epoch(train) [159][680/1879] lr: 1.0000e-04 eta: 22:02:39 time: 0.4423 data_time: 0.0166 memory: 17087 grad_norm: 6.7612 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0221 loss: 1.0221 2022/08/04 21:44:30 - mmengine - INFO - Epoch(train) [159][700/1879] lr: 1.0000e-04 eta: 22:02:30 time: 0.4280 data_time: 0.0160 memory: 17087 grad_norm: 6.8593 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9173 loss: 0.9173 2022/08/04 21:44:39 - mmengine - INFO - Epoch(train) [159][720/1879] lr: 1.0000e-04 eta: 22:02:22 time: 0.4486 data_time: 0.0157 memory: 17087 grad_norm: 6.6348 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9847 loss: 0.9847 2022/08/04 21:44:48 - mmengine - INFO - Epoch(train) [159][740/1879] lr: 1.0000e-04 eta: 22:02:13 time: 0.4287 data_time: 0.0149 memory: 17087 grad_norm: 6.4980 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8267 loss: 0.8267 2022/08/04 21:44:57 - mmengine - INFO - Epoch(train) [159][760/1879] lr: 1.0000e-04 eta: 22:02:05 time: 0.4308 data_time: 0.0164 memory: 17087 grad_norm: 6.7723 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8822 loss: 0.8822 2022/08/04 21:45:05 - mmengine - INFO - Epoch(train) [159][780/1879] lr: 1.0000e-04 eta: 22:01:56 time: 0.4283 data_time: 0.0148 memory: 17087 grad_norm: 7.0023 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8300 loss: 0.8300 2022/08/04 21:45:14 - mmengine - INFO - Epoch(train) [159][800/1879] lr: 1.0000e-04 eta: 22:01:47 time: 0.4292 data_time: 0.0173 memory: 17087 grad_norm: 6.4428 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8905 loss: 0.8905 2022/08/04 21:45:23 - mmengine - INFO - Epoch(train) [159][820/1879] lr: 1.0000e-04 eta: 22:01:39 time: 0.4339 data_time: 0.0171 memory: 17087 grad_norm: 6.4495 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8111 loss: 0.8111 2022/08/04 21:45:31 - mmengine - INFO - Epoch(train) [159][840/1879] lr: 1.0000e-04 eta: 22:01:30 time: 0.4299 data_time: 0.0164 memory: 17087 grad_norm: 6.5845 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7337 loss: 0.7337 2022/08/04 21:45:40 - mmengine - INFO - Epoch(train) [159][860/1879] lr: 1.0000e-04 eta: 22:01:21 time: 0.4422 data_time: 0.0150 memory: 17087 grad_norm: 6.6123 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7772 loss: 0.7772 2022/08/04 21:45:49 - mmengine - INFO - Epoch(train) [159][880/1879] lr: 1.0000e-04 eta: 22:01:13 time: 0.4321 data_time: 0.0166 memory: 17087 grad_norm: 6.9063 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9799 loss: 0.9799 2022/08/04 21:45:57 - mmengine - INFO - Epoch(train) [159][900/1879] lr: 1.0000e-04 eta: 22:01:04 time: 0.4339 data_time: 0.0159 memory: 17087 grad_norm: 6.7022 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9150 loss: 0.9150 2022/08/04 21:46:06 - mmengine - INFO - Epoch(train) [159][920/1879] lr: 1.0000e-04 eta: 22:00:55 time: 0.4301 data_time: 0.0163 memory: 17087 grad_norm: 6.6315 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8621 loss: 0.8621 2022/08/04 21:46:15 - mmengine - INFO - Epoch(train) [159][940/1879] lr: 1.0000e-04 eta: 22:00:47 time: 0.4328 data_time: 0.0162 memory: 17087 grad_norm: 6.6558 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8035 loss: 0.8035 2022/08/04 21:46:23 - mmengine - INFO - Epoch(train) [159][960/1879] lr: 1.0000e-04 eta: 22:00:38 time: 0.4402 data_time: 0.0184 memory: 17087 grad_norm: 6.5316 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8251 loss: 0.8251 2022/08/04 21:46:32 - mmengine - INFO - Epoch(train) [159][980/1879] lr: 1.0000e-04 eta: 22:00:29 time: 0.4268 data_time: 0.0139 memory: 17087 grad_norm: 6.7921 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7929 loss: 0.7929 2022/08/04 21:46:41 - mmengine - INFO - Epoch(train) [159][1000/1879] lr: 1.0000e-04 eta: 22:00:21 time: 0.4309 data_time: 0.0169 memory: 17087 grad_norm: 6.5640 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7750 loss: 0.7750 2022/08/04 21:46:49 - mmengine - INFO - Epoch(train) [159][1020/1879] lr: 1.0000e-04 eta: 22:00:12 time: 0.4289 data_time: 0.0144 memory: 17087 grad_norm: 6.5565 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8852 loss: 0.8852 2022/08/04 21:46:58 - mmengine - INFO - Epoch(train) [159][1040/1879] lr: 1.0000e-04 eta: 22:00:03 time: 0.4319 data_time: 0.0160 memory: 17087 grad_norm: 6.7677 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8618 loss: 0.8618 2022/08/04 21:47:06 - mmengine - INFO - Epoch(train) [159][1060/1879] lr: 1.0000e-04 eta: 21:59:55 time: 0.4286 data_time: 0.0145 memory: 17087 grad_norm: 6.6146 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7811 loss: 0.7811 2022/08/04 21:47:15 - mmengine - INFO - Epoch(train) [159][1080/1879] lr: 1.0000e-04 eta: 21:59:46 time: 0.4461 data_time: 0.0169 memory: 17087 grad_norm: 6.7251 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8590 loss: 0.8590 2022/08/04 21:47:24 - mmengine - INFO - Epoch(train) [159][1100/1879] lr: 1.0000e-04 eta: 21:59:38 time: 0.4275 data_time: 0.0134 memory: 17087 grad_norm: 6.7400 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0083 loss: 1.0083 2022/08/04 21:47:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 21:47:33 - mmengine - INFO - Epoch(train) [159][1120/1879] lr: 1.0000e-04 eta: 21:59:29 time: 0.4293 data_time: 0.0159 memory: 17087 grad_norm: 6.5011 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7874 loss: 0.7874 2022/08/04 21:47:41 - mmengine - INFO - Epoch(train) [159][1140/1879] lr: 1.0000e-04 eta: 21:59:20 time: 0.4312 data_time: 0.0151 memory: 17087 grad_norm: 6.7336 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8405 loss: 0.8405 2022/08/04 21:47:50 - mmengine - INFO - Epoch(train) [159][1160/1879] lr: 1.0000e-04 eta: 21:59:12 time: 0.4292 data_time: 0.0158 memory: 17087 grad_norm: 6.8622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8228 loss: 0.8228 2022/08/04 21:47:59 - mmengine - INFO - Epoch(train) [159][1180/1879] lr: 1.0000e-04 eta: 21:59:03 time: 0.4344 data_time: 0.0178 memory: 17087 grad_norm: 6.7240 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9667 loss: 0.9667 2022/08/04 21:48:07 - mmengine - INFO - Epoch(train) [159][1200/1879] lr: 1.0000e-04 eta: 21:58:54 time: 0.4330 data_time: 0.0159 memory: 17087 grad_norm: 6.9048 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8901 loss: 0.8901 2022/08/04 21:48:16 - mmengine - INFO - Epoch(train) [159][1220/1879] lr: 1.0000e-04 eta: 21:58:46 time: 0.4514 data_time: 0.0168 memory: 17087 grad_norm: 6.5953 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8563 loss: 0.8563 2022/08/04 21:48:25 - mmengine - INFO - Epoch(train) [159][1240/1879] lr: 1.0000e-04 eta: 21:58:37 time: 0.4284 data_time: 0.0164 memory: 17087 grad_norm: 6.3615 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7043 loss: 0.7043 2022/08/04 21:48:33 - mmengine - INFO - Epoch(train) [159][1260/1879] lr: 1.0000e-04 eta: 21:58:28 time: 0.4280 data_time: 0.0169 memory: 17087 grad_norm: 6.6514 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8774 loss: 0.8774 2022/08/04 21:48:42 - mmengine - INFO - Epoch(train) [159][1280/1879] lr: 1.0000e-04 eta: 21:58:20 time: 0.4351 data_time: 0.0144 memory: 17087 grad_norm: 6.6676 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8773 loss: 0.8773 2022/08/04 21:48:51 - mmengine - INFO - Epoch(train) [159][1300/1879] lr: 1.0000e-04 eta: 21:58:11 time: 0.4312 data_time: 0.0178 memory: 17087 grad_norm: 6.5770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8627 loss: 0.8627 2022/08/04 21:48:59 - mmengine - INFO - Epoch(train) [159][1320/1879] lr: 1.0000e-04 eta: 21:58:02 time: 0.4286 data_time: 0.0146 memory: 17087 grad_norm: 6.5705 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9198 loss: 0.9198 2022/08/04 21:49:08 - mmengine - INFO - Epoch(train) [159][1340/1879] lr: 1.0000e-04 eta: 21:57:54 time: 0.4433 data_time: 0.0170 memory: 17087 grad_norm: 6.7692 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8957 loss: 0.8957 2022/08/04 21:49:17 - mmengine - INFO - Epoch(train) [159][1360/1879] lr: 1.0000e-04 eta: 21:57:45 time: 0.4282 data_time: 0.0160 memory: 17087 grad_norm: 6.7710 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7907 loss: 0.7907 2022/08/04 21:49:26 - mmengine - INFO - Epoch(train) [159][1380/1879] lr: 1.0000e-04 eta: 21:57:37 time: 0.4360 data_time: 0.0212 memory: 17087 grad_norm: 6.7315 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6958 loss: 0.6958 2022/08/04 21:49:34 - mmengine - INFO - Epoch(train) [159][1400/1879] lr: 1.0000e-04 eta: 21:57:28 time: 0.4293 data_time: 0.0162 memory: 17087 grad_norm: 6.4989 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7847 loss: 0.7847 2022/08/04 21:49:43 - mmengine - INFO - Epoch(train) [159][1420/1879] lr: 1.0000e-04 eta: 21:57:19 time: 0.4258 data_time: 0.0144 memory: 17087 grad_norm: 6.5216 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8171 loss: 0.8171 2022/08/04 21:49:51 - mmengine - INFO - Epoch(train) [159][1440/1879] lr: 1.0000e-04 eta: 21:57:10 time: 0.4325 data_time: 0.0167 memory: 17087 grad_norm: 6.8388 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8805 loss: 0.8805 2022/08/04 21:50:00 - mmengine - INFO - Epoch(train) [159][1460/1879] lr: 1.0000e-04 eta: 21:57:02 time: 0.4305 data_time: 0.0169 memory: 17087 grad_norm: 6.7423 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9101 loss: 0.9101 2022/08/04 21:50:09 - mmengine - INFO - Epoch(train) [159][1480/1879] lr: 1.0000e-04 eta: 21:56:53 time: 0.4328 data_time: 0.0153 memory: 17087 grad_norm: 6.5689 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8696 loss: 0.8696 2022/08/04 21:50:17 - mmengine - INFO - Epoch(train) [159][1500/1879] lr: 1.0000e-04 eta: 21:56:45 time: 0.4328 data_time: 0.0194 memory: 17087 grad_norm: 6.7405 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8653 loss: 0.8653 2022/08/04 21:50:26 - mmengine - INFO - Epoch(train) [159][1520/1879] lr: 1.0000e-04 eta: 21:56:36 time: 0.4475 data_time: 0.0179 memory: 17087 grad_norm: 6.5929 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7457 loss: 0.7457 2022/08/04 21:50:35 - mmengine - INFO - Epoch(train) [159][1540/1879] lr: 1.0000e-04 eta: 21:56:27 time: 0.4291 data_time: 0.0150 memory: 17087 grad_norm: 6.7519 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7741 loss: 0.7741 2022/08/04 21:50:44 - mmengine - INFO - Epoch(train) [159][1560/1879] lr: 1.0000e-04 eta: 21:56:19 time: 0.4327 data_time: 0.0185 memory: 17087 grad_norm: 6.6754 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7727 loss: 0.7727 2022/08/04 21:50:53 - mmengine - INFO - Epoch(train) [159][1580/1879] lr: 1.0000e-04 eta: 21:56:10 time: 0.4494 data_time: 0.0160 memory: 17087 grad_norm: 6.7152 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0629 loss: 1.0629 2022/08/04 21:51:01 - mmengine - INFO - Epoch(train) [159][1600/1879] lr: 1.0000e-04 eta: 21:56:02 time: 0.4298 data_time: 0.0154 memory: 17087 grad_norm: 6.5939 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8957 loss: 0.8957 2022/08/04 21:51:10 - mmengine - INFO - Epoch(train) [159][1620/1879] lr: 1.0000e-04 eta: 21:55:53 time: 0.4322 data_time: 0.0166 memory: 17087 grad_norm: 6.7950 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8786 loss: 0.8786 2022/08/04 21:51:19 - mmengine - INFO - Epoch(train) [159][1640/1879] lr: 1.0000e-04 eta: 21:55:44 time: 0.4317 data_time: 0.0155 memory: 17087 grad_norm: 6.4263 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7570 loss: 0.7570 2022/08/04 21:51:27 - mmengine - INFO - Epoch(train) [159][1660/1879] lr: 1.0000e-04 eta: 21:55:36 time: 0.4445 data_time: 0.0165 memory: 17087 grad_norm: 6.5113 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8803 loss: 0.8803 2022/08/04 21:51:36 - mmengine - INFO - Epoch(train) [159][1680/1879] lr: 1.0000e-04 eta: 21:55:27 time: 0.4291 data_time: 0.0164 memory: 17087 grad_norm: 6.6231 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6643 loss: 0.6643 2022/08/04 21:51:45 - mmengine - INFO - Epoch(train) [159][1700/1879] lr: 1.0000e-04 eta: 21:55:18 time: 0.4300 data_time: 0.0153 memory: 17087 grad_norm: 6.8936 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7894 loss: 0.7894 2022/08/04 21:51:53 - mmengine - INFO - Epoch(train) [159][1720/1879] lr: 1.0000e-04 eta: 21:55:10 time: 0.4349 data_time: 0.0159 memory: 17087 grad_norm: 6.5010 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7217 loss: 0.7217 2022/08/04 21:52:02 - mmengine - INFO - Epoch(train) [159][1740/1879] lr: 1.0000e-04 eta: 21:55:01 time: 0.4271 data_time: 0.0150 memory: 17087 grad_norm: 6.3722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0217 loss: 1.0217 2022/08/04 21:52:11 - mmengine - INFO - Epoch(train) [159][1760/1879] lr: 1.0000e-04 eta: 21:54:52 time: 0.4341 data_time: 0.0152 memory: 17087 grad_norm: 6.6867 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6898 loss: 0.6898 2022/08/04 21:52:19 - mmengine - INFO - Epoch(train) [159][1780/1879] lr: 1.0000e-04 eta: 21:54:44 time: 0.4287 data_time: 0.0146 memory: 17087 grad_norm: 6.8655 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8824 loss: 0.8824 2022/08/04 21:52:28 - mmengine - INFO - Epoch(train) [159][1800/1879] lr: 1.0000e-04 eta: 21:54:35 time: 0.4296 data_time: 0.0172 memory: 17087 grad_norm: 6.5750 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1113 loss: 1.1113 2022/08/04 21:52:36 - mmengine - INFO - Epoch(train) [159][1820/1879] lr: 1.0000e-04 eta: 21:54:26 time: 0.4286 data_time: 0.0144 memory: 17087 grad_norm: 6.6446 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8053 loss: 0.8053 2022/08/04 21:52:45 - mmengine - INFO - Epoch(train) [159][1840/1879] lr: 1.0000e-04 eta: 21:54:18 time: 0.4287 data_time: 0.0150 memory: 17087 grad_norm: 6.5266 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6985 loss: 0.6985 2022/08/04 21:52:54 - mmengine - INFO - Epoch(train) [159][1860/1879] lr: 1.0000e-04 eta: 21:54:09 time: 0.4330 data_time: 0.0171 memory: 17087 grad_norm: 6.8524 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9244 loss: 0.9244 2022/08/04 21:53:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 21:53:01 - mmengine - INFO - Epoch(train) [159][1879/1879] lr: 1.0000e-04 eta: 21:54:09 time: 0.4110 data_time: 0.0170 memory: 17087 grad_norm: 6.8960 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9209 loss: 0.9209 2022/08/04 21:53:13 - mmengine - INFO - Epoch(train) [160][20/1879] lr: 1.0000e-04 eta: 21:53:49 time: 0.5619 data_time: 0.1071 memory: 17087 grad_norm: 6.6475 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7933 loss: 0.7933 2022/08/04 21:53:22 - mmengine - INFO - Epoch(train) [160][40/1879] lr: 1.0000e-04 eta: 21:53:40 time: 0.4344 data_time: 0.0215 memory: 17087 grad_norm: 6.3494 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7533 loss: 0.7533 2022/08/04 21:53:31 - mmengine - INFO - Epoch(train) [160][60/1879] lr: 1.0000e-04 eta: 21:53:32 time: 0.4510 data_time: 0.0187 memory: 17087 grad_norm: 6.5618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7080 loss: 0.7080 2022/08/04 21:53:39 - mmengine - INFO - Epoch(train) [160][80/1879] lr: 1.0000e-04 eta: 21:53:23 time: 0.4293 data_time: 0.0157 memory: 17087 grad_norm: 6.6093 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9077 loss: 0.9077 2022/08/04 21:53:48 - mmengine - INFO - Epoch(train) [160][100/1879] lr: 1.0000e-04 eta: 21:53:14 time: 0.4375 data_time: 0.0151 memory: 17087 grad_norm: 6.6089 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9252 loss: 0.9252 2022/08/04 21:53:57 - mmengine - INFO - Epoch(train) [160][120/1879] lr: 1.0000e-04 eta: 21:53:06 time: 0.4336 data_time: 0.0160 memory: 17087 grad_norm: 6.8362 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8088 loss: 0.8088 2022/08/04 21:54:05 - mmengine - INFO - Epoch(train) [160][140/1879] lr: 1.0000e-04 eta: 21:52:57 time: 0.4311 data_time: 0.0143 memory: 17087 grad_norm: 6.9000 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0368 loss: 1.0368 2022/08/04 21:54:14 - mmengine - INFO - Epoch(train) [160][160/1879] lr: 1.0000e-04 eta: 21:52:48 time: 0.4352 data_time: 0.0170 memory: 17087 grad_norm: 7.0827 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9110 loss: 0.9110 2022/08/04 21:54:23 - mmengine - INFO - Epoch(train) [160][180/1879] lr: 1.0000e-04 eta: 21:52:40 time: 0.4283 data_time: 0.0144 memory: 17087 grad_norm: 6.6911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7340 loss: 0.7340 2022/08/04 21:54:31 - mmengine - INFO - Epoch(train) [160][200/1879] lr: 1.0000e-04 eta: 21:52:31 time: 0.4333 data_time: 0.0171 memory: 17087 grad_norm: 6.6962 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8260 loss: 0.8260 2022/08/04 21:54:40 - mmengine - INFO - Epoch(train) [160][220/1879] lr: 1.0000e-04 eta: 21:52:22 time: 0.4284 data_time: 0.0138 memory: 17087 grad_norm: 6.7085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8182 loss: 0.8182 2022/08/04 21:54:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 21:54:48 - mmengine - INFO - Epoch(train) [160][240/1879] lr: 1.0000e-04 eta: 21:52:14 time: 0.4317 data_time: 0.0160 memory: 17087 grad_norm: 6.6009 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8379 loss: 0.8379 2022/08/04 21:54:57 - mmengine - INFO - Epoch(train) [160][260/1879] lr: 1.0000e-04 eta: 21:52:05 time: 0.4291 data_time: 0.0143 memory: 17087 grad_norm: 6.5837 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8417 loss: 0.8417 2022/08/04 21:55:06 - mmengine - INFO - Epoch(train) [160][280/1879] lr: 1.0000e-04 eta: 21:51:56 time: 0.4314 data_time: 0.0168 memory: 17087 grad_norm: 6.5328 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8042 loss: 0.8042 2022/08/04 21:55:14 - mmengine - INFO - Epoch(train) [160][300/1879] lr: 1.0000e-04 eta: 21:51:48 time: 0.4297 data_time: 0.0143 memory: 17087 grad_norm: 6.5962 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8614 loss: 0.8614 2022/08/04 21:55:23 - mmengine - INFO - Epoch(train) [160][320/1879] lr: 1.0000e-04 eta: 21:51:39 time: 0.4298 data_time: 0.0159 memory: 17087 grad_norm: 6.7661 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 1.0146 loss: 1.0146 2022/08/04 21:55:32 - mmengine - INFO - Epoch(train) [160][340/1879] lr: 1.0000e-04 eta: 21:51:30 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 6.3200 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7817 loss: 0.7817 2022/08/04 21:55:40 - mmengine - INFO - Epoch(train) [160][360/1879] lr: 1.0000e-04 eta: 21:51:22 time: 0.4308 data_time: 0.0161 memory: 17087 grad_norm: 6.8272 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8396 loss: 0.8396 2022/08/04 21:55:49 - mmengine - INFO - Epoch(train) [160][380/1879] lr: 1.0000e-04 eta: 21:51:13 time: 0.4525 data_time: 0.0181 memory: 17087 grad_norm: 6.5392 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7033 loss: 0.7033 2022/08/04 21:55:58 - mmengine - INFO - Epoch(train) [160][400/1879] lr: 1.0000e-04 eta: 21:51:05 time: 0.4351 data_time: 0.0230 memory: 17087 grad_norm: 6.6985 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8601 loss: 0.8601 2022/08/04 21:56:07 - mmengine - INFO - Epoch(train) [160][420/1879] lr: 1.0000e-04 eta: 21:50:56 time: 0.4658 data_time: 0.0179 memory: 17087 grad_norm: 6.8460 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9063 loss: 0.9063 2022/08/04 21:56:16 - mmengine - INFO - Epoch(train) [160][440/1879] lr: 1.0000e-04 eta: 21:50:48 time: 0.4303 data_time: 0.0187 memory: 17087 grad_norm: 6.4414 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7891 loss: 0.7891 2022/08/04 21:56:25 - mmengine - INFO - Epoch(train) [160][460/1879] lr: 1.0000e-04 eta: 21:50:39 time: 0.4290 data_time: 0.0150 memory: 17087 grad_norm: 6.7175 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8724 loss: 0.8724 2022/08/04 21:56:33 - mmengine - INFO - Epoch(train) [160][480/1879] lr: 1.0000e-04 eta: 21:50:30 time: 0.4370 data_time: 0.0181 memory: 17087 grad_norm: 6.7490 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9589 loss: 0.9589 2022/08/04 21:56:42 - mmengine - INFO - Epoch(train) [160][500/1879] lr: 1.0000e-04 eta: 21:50:22 time: 0.4299 data_time: 0.0157 memory: 17087 grad_norm: 6.5416 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7549 loss: 0.7549 2022/08/04 21:56:51 - mmengine - INFO - Epoch(train) [160][520/1879] lr: 1.0000e-04 eta: 21:50:13 time: 0.4347 data_time: 0.0166 memory: 17087 grad_norm: 6.6922 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9315 loss: 0.9315 2022/08/04 21:56:59 - mmengine - INFO - Epoch(train) [160][540/1879] lr: 1.0000e-04 eta: 21:50:04 time: 0.4281 data_time: 0.0145 memory: 17087 grad_norm: 6.8174 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9619 loss: 0.9619 2022/08/04 21:57:08 - mmengine - INFO - Epoch(train) [160][560/1879] lr: 1.0000e-04 eta: 21:49:56 time: 0.4293 data_time: 0.0162 memory: 17087 grad_norm: 6.5627 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8091 loss: 0.8091 2022/08/04 21:57:16 - mmengine - INFO - Epoch(train) [160][580/1879] lr: 1.0000e-04 eta: 21:49:47 time: 0.4281 data_time: 0.0151 memory: 17087 grad_norm: 6.4525 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8744 loss: 0.8744 2022/08/04 21:57:25 - mmengine - INFO - Epoch(train) [160][600/1879] lr: 1.0000e-04 eta: 21:49:38 time: 0.4437 data_time: 0.0169 memory: 17087 grad_norm: 6.7412 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8708 loss: 0.8708 2022/08/04 21:57:34 - mmengine - INFO - Epoch(train) [160][620/1879] lr: 1.0000e-04 eta: 21:49:30 time: 0.4295 data_time: 0.0148 memory: 17087 grad_norm: 6.9106 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8292 loss: 0.8292 2022/08/04 21:57:42 - mmengine - INFO - Epoch(train) [160][640/1879] lr: 1.0000e-04 eta: 21:49:21 time: 0.4274 data_time: 0.0166 memory: 17087 grad_norm: 6.7210 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8222 loss: 0.8222 2022/08/04 21:57:51 - mmengine - INFO - Epoch(train) [160][660/1879] lr: 1.0000e-04 eta: 21:49:13 time: 0.4462 data_time: 0.0151 memory: 17087 grad_norm: 6.9278 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0307 loss: 1.0307 2022/08/04 21:58:00 - mmengine - INFO - Epoch(train) [160][680/1879] lr: 1.0000e-04 eta: 21:49:04 time: 0.4322 data_time: 0.0177 memory: 17087 grad_norm: 6.5445 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8726 loss: 0.8726 2022/08/04 21:58:09 - mmengine - INFO - Epoch(train) [160][700/1879] lr: 1.0000e-04 eta: 21:48:55 time: 0.4317 data_time: 0.0149 memory: 17087 grad_norm: 6.6936 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7813 loss: 0.7813 2022/08/04 21:58:17 - mmengine - INFO - Epoch(train) [160][720/1879] lr: 1.0000e-04 eta: 21:48:47 time: 0.4365 data_time: 0.0168 memory: 17087 grad_norm: 6.5119 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8481 loss: 0.8481 2022/08/04 21:58:26 - mmengine - INFO - Epoch(train) [160][740/1879] lr: 1.0000e-04 eta: 21:48:38 time: 0.4337 data_time: 0.0141 memory: 17087 grad_norm: 6.6371 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9194 loss: 0.9194 2022/08/04 21:58:35 - mmengine - INFO - Epoch(train) [160][760/1879] lr: 1.0000e-04 eta: 21:48:29 time: 0.4291 data_time: 0.0150 memory: 17087 grad_norm: 6.5224 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8042 loss: 0.8042 2022/08/04 21:58:43 - mmengine - INFO - Epoch(train) [160][780/1879] lr: 1.0000e-04 eta: 21:48:21 time: 0.4345 data_time: 0.0151 memory: 17087 grad_norm: 6.7204 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7871 loss: 0.7871 2022/08/04 21:58:52 - mmengine - INFO - Epoch(train) [160][800/1879] lr: 1.0000e-04 eta: 21:48:12 time: 0.4291 data_time: 0.0156 memory: 17087 grad_norm: 6.5397 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0551 loss: 1.0551 2022/08/04 21:59:01 - mmengine - INFO - Epoch(train) [160][820/1879] lr: 1.0000e-04 eta: 21:48:03 time: 0.4338 data_time: 0.0161 memory: 17087 grad_norm: 6.3846 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9140 loss: 0.9140 2022/08/04 21:59:09 - mmengine - INFO - Epoch(train) [160][840/1879] lr: 1.0000e-04 eta: 21:47:55 time: 0.4297 data_time: 0.0156 memory: 17087 grad_norm: 6.9733 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8925 loss: 0.8925 2022/08/04 21:59:18 - mmengine - INFO - Epoch(train) [160][860/1879] lr: 1.0000e-04 eta: 21:47:46 time: 0.4558 data_time: 0.0156 memory: 17087 grad_norm: 6.6587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8613 loss: 0.8613 2022/08/04 21:59:27 - mmengine - INFO - Epoch(train) [160][880/1879] lr: 1.0000e-04 eta: 21:47:38 time: 0.4350 data_time: 0.0147 memory: 17087 grad_norm: 6.6163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8115 loss: 0.8115 2022/08/04 21:59:36 - mmengine - INFO - Epoch(train) [160][900/1879] lr: 1.0000e-04 eta: 21:47:29 time: 0.4329 data_time: 0.0147 memory: 17087 grad_norm: 6.6638 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9061 loss: 0.9061 2022/08/04 21:59:45 - mmengine - INFO - Epoch(train) [160][920/1879] lr: 1.0000e-04 eta: 21:47:21 time: 0.4436 data_time: 0.0169 memory: 17087 grad_norm: 6.7561 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8827 loss: 0.8827 2022/08/04 21:59:53 - mmengine - INFO - Epoch(train) [160][940/1879] lr: 1.0000e-04 eta: 21:47:12 time: 0.4276 data_time: 0.0135 memory: 17087 grad_norm: 6.5489 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7858 loss: 0.7858 2022/08/04 22:00:02 - mmengine - INFO - Epoch(train) [160][960/1879] lr: 1.0000e-04 eta: 21:47:03 time: 0.4317 data_time: 0.0171 memory: 17087 grad_norm: 6.7179 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9894 loss: 0.9894 2022/08/04 22:00:11 - mmengine - INFO - Epoch(train) [160][980/1879] lr: 1.0000e-04 eta: 21:46:55 time: 0.4343 data_time: 0.0161 memory: 17087 grad_norm: 6.6538 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8820 loss: 0.8820 2022/08/04 22:00:20 - mmengine - INFO - Epoch(train) [160][1000/1879] lr: 1.0000e-04 eta: 21:46:46 time: 0.4509 data_time: 0.0163 memory: 17087 grad_norm: 6.7187 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9178 loss: 0.9178 2022/08/04 22:00:28 - mmengine - INFO - Epoch(train) [160][1020/1879] lr: 1.0000e-04 eta: 21:46:37 time: 0.4321 data_time: 0.0147 memory: 17087 grad_norm: 6.7751 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7683 loss: 0.7683 2022/08/04 22:00:37 - mmengine - INFO - Epoch(train) [160][1040/1879] lr: 1.0000e-04 eta: 21:46:29 time: 0.4286 data_time: 0.0163 memory: 17087 grad_norm: 6.5406 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7877 loss: 0.7877 2022/08/04 22:00:46 - mmengine - INFO - Epoch(train) [160][1060/1879] lr: 1.0000e-04 eta: 21:46:20 time: 0.4287 data_time: 0.0143 memory: 17087 grad_norm: 6.5577 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8638 loss: 0.8638 2022/08/04 22:00:54 - mmengine - INFO - Epoch(train) [160][1080/1879] lr: 1.0000e-04 eta: 21:46:11 time: 0.4302 data_time: 0.0164 memory: 17087 grad_norm: 6.6991 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6619 loss: 0.6619 2022/08/04 22:01:03 - mmengine - INFO - Epoch(train) [160][1100/1879] lr: 1.0000e-04 eta: 21:46:03 time: 0.4301 data_time: 0.0161 memory: 17087 grad_norm: 6.4067 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7907 loss: 0.7907 2022/08/04 22:01:12 - mmengine - INFO - Epoch(train) [160][1120/1879] lr: 1.0000e-04 eta: 21:45:54 time: 0.4357 data_time: 0.0166 memory: 17087 grad_norm: 6.5891 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7939 loss: 0.7939 2022/08/04 22:01:20 - mmengine - INFO - Epoch(train) [160][1140/1879] lr: 1.0000e-04 eta: 21:45:45 time: 0.4260 data_time: 0.0142 memory: 17087 grad_norm: 6.5977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7851 loss: 0.7851 2022/08/04 22:01:29 - mmengine - INFO - Epoch(train) [160][1160/1879] lr: 1.0000e-04 eta: 21:45:37 time: 0.4473 data_time: 0.0189 memory: 17087 grad_norm: 6.6310 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8629 loss: 0.8629 2022/08/04 22:01:38 - mmengine - INFO - Epoch(train) [160][1180/1879] lr: 1.0000e-04 eta: 21:45:28 time: 0.4312 data_time: 0.0175 memory: 17087 grad_norm: 6.6255 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8810 loss: 0.8810 2022/08/04 22:01:47 - mmengine - INFO - Epoch(train) [160][1200/1879] lr: 1.0000e-04 eta: 21:45:20 time: 0.4534 data_time: 0.0152 memory: 17087 grad_norm: 6.6919 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8489 loss: 0.8489 2022/08/04 22:01:55 - mmengine - INFO - Epoch(train) [160][1220/1879] lr: 1.0000e-04 eta: 21:45:11 time: 0.4292 data_time: 0.0134 memory: 17087 grad_norm: 6.7406 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0248 loss: 1.0248 2022/08/04 22:02:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 22:02:04 - mmengine - INFO - Epoch(train) [160][1240/1879] lr: 1.0000e-04 eta: 21:45:02 time: 0.4287 data_time: 0.0152 memory: 17087 grad_norm: 6.5538 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8789 loss: 0.8789 2022/08/04 22:02:13 - mmengine - INFO - Epoch(train) [160][1260/1879] lr: 1.0000e-04 eta: 21:44:54 time: 0.4386 data_time: 0.0202 memory: 17087 grad_norm: 6.9854 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8964 loss: 0.8964 2022/08/04 22:02:21 - mmengine - INFO - Epoch(train) [160][1280/1879] lr: 1.0000e-04 eta: 21:44:45 time: 0.4308 data_time: 0.0173 memory: 17087 grad_norm: 6.7055 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8476 loss: 0.8476 2022/08/04 22:02:30 - mmengine - INFO - Epoch(train) [160][1300/1879] lr: 1.0000e-04 eta: 21:44:36 time: 0.4289 data_time: 0.0154 memory: 17087 grad_norm: 6.8228 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8024 loss: 0.8024 2022/08/04 22:02:39 - mmengine - INFO - Epoch(train) [160][1320/1879] lr: 1.0000e-04 eta: 21:44:28 time: 0.4533 data_time: 0.0238 memory: 17087 grad_norm: 6.6810 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7435 loss: 0.7435 2022/08/04 22:02:48 - mmengine - INFO - Epoch(train) [160][1340/1879] lr: 1.0000e-04 eta: 21:44:19 time: 0.4298 data_time: 0.0154 memory: 17087 grad_norm: 6.7334 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0105 loss: 1.0105 2022/08/04 22:02:56 - mmengine - INFO - Epoch(train) [160][1360/1879] lr: 1.0000e-04 eta: 21:44:11 time: 0.4299 data_time: 0.0165 memory: 17087 grad_norm: 6.7521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8434 loss: 0.8434 2022/08/04 22:03:05 - mmengine - INFO - Epoch(train) [160][1380/1879] lr: 1.0000e-04 eta: 21:44:02 time: 0.4296 data_time: 0.0134 memory: 17087 grad_norm: 6.7537 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9580 loss: 0.9580 2022/08/04 22:03:13 - mmengine - INFO - Epoch(train) [160][1400/1879] lr: 1.0000e-04 eta: 21:43:53 time: 0.4280 data_time: 0.0149 memory: 17087 grad_norm: 6.8478 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8317 loss: 0.8317 2022/08/04 22:03:22 - mmengine - INFO - Epoch(train) [160][1420/1879] lr: 1.0000e-04 eta: 21:43:45 time: 0.4350 data_time: 0.0163 memory: 17087 grad_norm: 6.4914 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8267 loss: 0.8267 2022/08/04 22:03:31 - mmengine - INFO - Epoch(train) [160][1440/1879] lr: 1.0000e-04 eta: 21:43:36 time: 0.4307 data_time: 0.0171 memory: 17087 grad_norm: 6.4372 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8507 loss: 0.8507 2022/08/04 22:03:40 - mmengine - INFO - Epoch(train) [160][1460/1879] lr: 1.0000e-04 eta: 21:43:27 time: 0.4396 data_time: 0.0150 memory: 17087 grad_norm: 6.6433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8368 loss: 0.8368 2022/08/04 22:03:48 - mmengine - INFO - Epoch(train) [160][1480/1879] lr: 1.0000e-04 eta: 21:43:19 time: 0.4314 data_time: 0.0168 memory: 17087 grad_norm: 6.7201 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8198 loss: 0.8198 2022/08/04 22:03:57 - mmengine - INFO - Epoch(train) [160][1500/1879] lr: 1.0000e-04 eta: 21:43:10 time: 0.4525 data_time: 0.0165 memory: 17087 grad_norm: 6.4199 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9078 loss: 0.9078 2022/08/04 22:04:06 - mmengine - INFO - Epoch(train) [160][1520/1879] lr: 1.0000e-04 eta: 21:43:02 time: 0.4286 data_time: 0.0157 memory: 17087 grad_norm: 6.6589 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8643 loss: 0.8643 2022/08/04 22:04:15 - mmengine - INFO - Epoch(train) [160][1540/1879] lr: 1.0000e-04 eta: 21:42:53 time: 0.4290 data_time: 0.0151 memory: 17087 grad_norm: 6.6935 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8625 loss: 0.8625 2022/08/04 22:04:24 - mmengine - INFO - Epoch(train) [160][1560/1879] lr: 1.0000e-04 eta: 21:42:45 time: 0.4513 data_time: 0.0163 memory: 17087 grad_norm: 6.5409 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6795 loss: 0.6795 2022/08/04 22:04:32 - mmengine - INFO - Epoch(train) [160][1580/1879] lr: 1.0000e-04 eta: 21:42:36 time: 0.4296 data_time: 0.0155 memory: 17087 grad_norm: 6.7131 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8695 loss: 0.8695 2022/08/04 22:04:41 - mmengine - INFO - Epoch(train) [160][1600/1879] lr: 1.0000e-04 eta: 21:42:27 time: 0.4479 data_time: 0.0234 memory: 17087 grad_norm: 6.8737 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9267 loss: 0.9267 2022/08/04 22:04:50 - mmengine - INFO - Epoch(train) [160][1620/1879] lr: 1.0000e-04 eta: 21:42:19 time: 0.4285 data_time: 0.0154 memory: 17087 grad_norm: 6.6698 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7384 loss: 0.7384 2022/08/04 22:04:58 - mmengine - INFO - Epoch(train) [160][1640/1879] lr: 1.0000e-04 eta: 21:42:10 time: 0.4328 data_time: 0.0157 memory: 17087 grad_norm: 6.6345 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7977 loss: 0.7977 2022/08/04 22:05:07 - mmengine - INFO - Epoch(train) [160][1660/1879] lr: 1.0000e-04 eta: 21:42:01 time: 0.4288 data_time: 0.0152 memory: 17087 grad_norm: 6.8063 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9300 loss: 0.9300 2022/08/04 22:05:16 - mmengine - INFO - Epoch(train) [160][1680/1879] lr: 1.0000e-04 eta: 21:41:53 time: 0.4294 data_time: 0.0154 memory: 17087 grad_norm: 6.8377 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8793 loss: 0.8793 2022/08/04 22:05:24 - mmengine - INFO - Epoch(train) [160][1700/1879] lr: 1.0000e-04 eta: 21:41:44 time: 0.4299 data_time: 0.0148 memory: 17087 grad_norm: 6.8068 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8252 loss: 0.8252 2022/08/04 22:05:33 - mmengine - INFO - Epoch(train) [160][1720/1879] lr: 1.0000e-04 eta: 21:41:35 time: 0.4302 data_time: 0.0156 memory: 17087 grad_norm: 6.5859 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6975 loss: 0.6975 2022/08/04 22:05:42 - mmengine - INFO - Epoch(train) [160][1740/1879] lr: 1.0000e-04 eta: 21:41:27 time: 0.4351 data_time: 0.0165 memory: 17087 grad_norm: 6.5399 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7271 loss: 0.7271 2022/08/04 22:05:50 - mmengine - INFO - Epoch(train) [160][1760/1879] lr: 1.0000e-04 eta: 21:41:18 time: 0.4438 data_time: 0.0167 memory: 17087 grad_norm: 6.6531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9119 loss: 0.9119 2022/08/04 22:05:59 - mmengine - INFO - Epoch(train) [160][1780/1879] lr: 1.0000e-04 eta: 21:41:09 time: 0.4303 data_time: 0.0157 memory: 17087 grad_norm: 6.2991 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8755 loss: 0.8755 2022/08/04 22:06:08 - mmengine - INFO - Epoch(train) [160][1800/1879] lr: 1.0000e-04 eta: 21:41:01 time: 0.4296 data_time: 0.0158 memory: 17087 grad_norm: 6.9625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8595 loss: 0.8595 2022/08/04 22:06:16 - mmengine - INFO - Epoch(train) [160][1820/1879] lr: 1.0000e-04 eta: 21:40:52 time: 0.4287 data_time: 0.0152 memory: 17087 grad_norm: 6.6769 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7778 loss: 0.7778 2022/08/04 22:06:25 - mmengine - INFO - Epoch(train) [160][1840/1879] lr: 1.0000e-04 eta: 21:40:43 time: 0.4300 data_time: 0.0182 memory: 17087 grad_norm: 6.6906 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8098 loss: 0.8098 2022/08/04 22:06:34 - mmengine - INFO - Epoch(train) [160][1860/1879] lr: 1.0000e-04 eta: 21:40:35 time: 0.4291 data_time: 0.0150 memory: 17087 grad_norm: 6.7016 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8101 loss: 0.8101 2022/08/04 22:06:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 22:06:41 - mmengine - INFO - Epoch(train) [160][1879/1879] lr: 1.0000e-04 eta: 21:40:35 time: 0.4108 data_time: 0.0155 memory: 17087 grad_norm: 6.9316 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.8232 loss: 0.8232 2022/08/04 22:06:41 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/08/04 22:06:53 - mmengine - INFO - Epoch(val) [160][20/155] eta: 0:00:52 time: 0.3874 data_time: 0.2211 memory: 2821 2022/08/04 22:06:58 - mmengine - INFO - Epoch(val) [160][40/155] eta: 0:00:29 time: 0.2607 data_time: 0.0945 memory: 2821 2022/08/04 22:07:04 - mmengine - INFO - Epoch(val) [160][60/155] eta: 0:00:29 time: 0.3145 data_time: 0.1475 memory: 2821 2022/08/04 22:07:09 - mmengine - INFO - Epoch(val) [160][80/155] eta: 0:00:18 time: 0.2463 data_time: 0.0781 memory: 2821 2022/08/04 22:07:16 - mmengine - INFO - Epoch(val) [160][100/155] eta: 0:00:17 time: 0.3190 data_time: 0.1511 memory: 2821 2022/08/04 22:07:21 - mmengine - INFO - Epoch(val) [160][120/155] eta: 0:00:09 time: 0.2602 data_time: 0.0946 memory: 2821 2022/08/04 22:07:27 - mmengine - INFO - Epoch(val) [160][140/155] eta: 0:00:04 time: 0.2899 data_time: 0.1275 memory: 2821 2022/08/04 22:07:31 - mmengine - INFO - Epoch(val) [160][155/155] acc/top1: 0.6986 acc/top5: 0.8826 acc/mean1: 0.6985 2022/08/04 22:07:43 - mmengine - INFO - Epoch(train) [161][20/1879] lr: 1.0000e-04 eta: 21:40:15 time: 0.5783 data_time: 0.1253 memory: 17087 grad_norm: 6.7758 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7935 loss: 0.7935 2022/08/04 22:07:52 - mmengine - INFO - Epoch(train) [161][40/1879] lr: 1.0000e-04 eta: 21:40:06 time: 0.4376 data_time: 0.0235 memory: 17087 grad_norm: 6.7695 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9699 loss: 0.9699 2022/08/04 22:08:00 - mmengine - INFO - Epoch(train) [161][60/1879] lr: 1.0000e-04 eta: 21:39:57 time: 0.4290 data_time: 0.0147 memory: 17087 grad_norm: 6.6675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0243 loss: 1.0243 2022/08/04 22:08:09 - mmengine - INFO - Epoch(train) [161][80/1879] lr: 1.0000e-04 eta: 21:39:49 time: 0.4308 data_time: 0.0165 memory: 17087 grad_norm: 6.6528 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8180 loss: 0.8180 2022/08/04 22:08:17 - mmengine - INFO - Epoch(train) [161][100/1879] lr: 1.0000e-04 eta: 21:39:40 time: 0.4283 data_time: 0.0140 memory: 17087 grad_norm: 6.3726 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8169 loss: 0.8169 2022/08/04 22:08:26 - mmengine - INFO - Epoch(train) [161][120/1879] lr: 1.0000e-04 eta: 21:39:31 time: 0.4287 data_time: 0.0163 memory: 17087 grad_norm: 6.9860 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9506 loss: 0.9506 2022/08/04 22:08:35 - mmengine - INFO - Epoch(train) [161][140/1879] lr: 1.0000e-04 eta: 21:39:23 time: 0.4339 data_time: 0.0158 memory: 17087 grad_norm: 6.8406 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8618 loss: 0.8618 2022/08/04 22:08:43 - mmengine - INFO - Epoch(train) [161][160/1879] lr: 1.0000e-04 eta: 21:39:14 time: 0.4335 data_time: 0.0209 memory: 17087 grad_norm: 6.7026 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9068 loss: 0.9068 2022/08/04 22:08:52 - mmengine - INFO - Epoch(train) [161][180/1879] lr: 1.0000e-04 eta: 21:39:06 time: 0.4474 data_time: 0.0158 memory: 17087 grad_norm: 6.6208 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8154 loss: 0.8154 2022/08/04 22:09:01 - mmengine - INFO - Epoch(train) [161][200/1879] lr: 1.0000e-04 eta: 21:38:57 time: 0.4342 data_time: 0.0168 memory: 17087 grad_norm: 6.3747 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8017 loss: 0.8017 2022/08/04 22:09:10 - mmengine - INFO - Epoch(train) [161][220/1879] lr: 1.0000e-04 eta: 21:38:48 time: 0.4478 data_time: 0.0181 memory: 17087 grad_norm: 6.6637 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9035 loss: 0.9035 2022/08/04 22:09:19 - mmengine - INFO - Epoch(train) [161][240/1879] lr: 1.0000e-04 eta: 21:38:40 time: 0.4327 data_time: 0.0158 memory: 17087 grad_norm: 7.0258 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7762 loss: 0.7762 2022/08/04 22:09:28 - mmengine - INFO - Epoch(train) [161][260/1879] lr: 1.0000e-04 eta: 21:38:31 time: 0.4529 data_time: 0.0166 memory: 17087 grad_norm: 6.6412 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7690 loss: 0.7690 2022/08/04 22:09:36 - mmengine - INFO - Epoch(train) [161][280/1879] lr: 1.0000e-04 eta: 21:38:23 time: 0.4298 data_time: 0.0160 memory: 17087 grad_norm: 6.8102 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0175 loss: 1.0175 2022/08/04 22:09:45 - mmengine - INFO - Epoch(train) [161][300/1879] lr: 1.0000e-04 eta: 21:38:14 time: 0.4327 data_time: 0.0156 memory: 17087 grad_norm: 6.7227 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8920 loss: 0.8920 2022/08/04 22:09:54 - mmengine - INFO - Epoch(train) [161][320/1879] lr: 1.0000e-04 eta: 21:38:05 time: 0.4305 data_time: 0.0158 memory: 17087 grad_norm: 6.4928 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8252 loss: 0.8252 2022/08/04 22:10:03 - mmengine - INFO - Epoch(train) [161][340/1879] lr: 1.0000e-04 eta: 21:37:57 time: 0.4437 data_time: 0.0163 memory: 17087 grad_norm: 6.4640 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7421 loss: 0.7421 2022/08/04 22:10:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 22:10:11 - mmengine - INFO - Epoch(train) [161][360/1879] lr: 1.0000e-04 eta: 21:37:48 time: 0.4297 data_time: 0.0160 memory: 17087 grad_norm: 6.7963 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.1441 loss: 1.1441 2022/08/04 22:10:20 - mmengine - INFO - Epoch(train) [161][380/1879] lr: 1.0000e-04 eta: 21:37:40 time: 0.4367 data_time: 0.0160 memory: 17087 grad_norm: 6.5513 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7850 loss: 0.7850 2022/08/04 22:10:29 - mmengine - INFO - Epoch(train) [161][400/1879] lr: 1.0000e-04 eta: 21:37:31 time: 0.4366 data_time: 0.0182 memory: 17087 grad_norm: 6.6097 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9513 loss: 0.9513 2022/08/04 22:10:37 - mmengine - INFO - Epoch(train) [161][420/1879] lr: 1.0000e-04 eta: 21:37:22 time: 0.4270 data_time: 0.0149 memory: 17087 grad_norm: 6.6130 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7961 loss: 0.7961 2022/08/04 22:10:46 - mmengine - INFO - Epoch(train) [161][440/1879] lr: 1.0000e-04 eta: 21:37:14 time: 0.4301 data_time: 0.0160 memory: 17087 grad_norm: 6.4812 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0056 loss: 1.0056 2022/08/04 22:10:55 - mmengine - INFO - Epoch(train) [161][460/1879] lr: 1.0000e-04 eta: 21:37:05 time: 0.4325 data_time: 0.0159 memory: 17087 grad_norm: 6.7356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8689 loss: 0.8689 2022/08/04 22:11:03 - mmengine - INFO - Epoch(train) [161][480/1879] lr: 1.0000e-04 eta: 21:36:56 time: 0.4280 data_time: 0.0157 memory: 17087 grad_norm: 6.4269 top1_acc: 0.3125 top5_acc: 0.8125 loss_cls: 0.8054 loss: 0.8054 2022/08/04 22:11:12 - mmengine - INFO - Epoch(train) [161][500/1879] lr: 1.0000e-04 eta: 21:36:48 time: 0.4310 data_time: 0.0138 memory: 17087 grad_norm: 6.9351 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9159 loss: 0.9159 2022/08/04 22:11:20 - mmengine - INFO - Epoch(train) [161][520/1879] lr: 1.0000e-04 eta: 21:36:39 time: 0.4309 data_time: 0.0161 memory: 17087 grad_norm: 6.6634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9457 loss: 0.9457 2022/08/04 22:11:29 - mmengine - INFO - Epoch(train) [161][540/1879] lr: 1.0000e-04 eta: 21:36:30 time: 0.4408 data_time: 0.0164 memory: 17087 grad_norm: 6.3746 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6658 loss: 0.6658 2022/08/04 22:11:38 - mmengine - INFO - Epoch(train) [161][560/1879] lr: 1.0000e-04 eta: 21:36:22 time: 0.4355 data_time: 0.0172 memory: 17087 grad_norm: 6.5717 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8188 loss: 0.8188 2022/08/04 22:11:47 - mmengine - INFO - Epoch(train) [161][580/1879] lr: 1.0000e-04 eta: 21:36:13 time: 0.4285 data_time: 0.0142 memory: 17087 grad_norm: 6.6408 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8645 loss: 0.8645 2022/08/04 22:11:55 - mmengine - INFO - Epoch(train) [161][600/1879] lr: 1.0000e-04 eta: 21:36:04 time: 0.4292 data_time: 0.0156 memory: 17087 grad_norm: 6.8657 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8545 loss: 0.8545 2022/08/04 22:12:04 - mmengine - INFO - Epoch(train) [161][620/1879] lr: 1.0000e-04 eta: 21:35:56 time: 0.4475 data_time: 0.0203 memory: 17087 grad_norm: 6.8449 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9603 loss: 0.9603 2022/08/04 22:12:13 - mmengine - INFO - Epoch(train) [161][640/1879] lr: 1.0000e-04 eta: 21:35:47 time: 0.4344 data_time: 0.0202 memory: 17087 grad_norm: 6.7363 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7621 loss: 0.7621 2022/08/04 22:12:22 - mmengine - INFO - Epoch(train) [161][660/1879] lr: 1.0000e-04 eta: 21:35:39 time: 0.4311 data_time: 0.0160 memory: 17087 grad_norm: 6.7188 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9270 loss: 0.9270 2022/08/04 22:12:30 - mmengine - INFO - Epoch(train) [161][680/1879] lr: 1.0000e-04 eta: 21:35:30 time: 0.4292 data_time: 0.0166 memory: 17087 grad_norm: 6.8850 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8087 loss: 0.8087 2022/08/04 22:12:39 - mmengine - INFO - Epoch(train) [161][700/1879] lr: 1.0000e-04 eta: 21:35:21 time: 0.4314 data_time: 0.0149 memory: 17087 grad_norm: 6.5817 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8565 loss: 0.8565 2022/08/04 22:12:47 - mmengine - INFO - Epoch(train) [161][720/1879] lr: 1.0000e-04 eta: 21:35:13 time: 0.4355 data_time: 0.0171 memory: 17087 grad_norm: 6.7100 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8991 loss: 0.8991 2022/08/04 22:12:56 - mmengine - INFO - Epoch(train) [161][740/1879] lr: 1.0000e-04 eta: 21:35:04 time: 0.4286 data_time: 0.0142 memory: 17087 grad_norm: 7.0013 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8417 loss: 0.8417 2022/08/04 22:13:05 - mmengine - INFO - Epoch(train) [161][760/1879] lr: 1.0000e-04 eta: 21:34:55 time: 0.4283 data_time: 0.0158 memory: 17087 grad_norm: 6.6887 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8817 loss: 0.8817 2022/08/04 22:13:13 - mmengine - INFO - Epoch(train) [161][780/1879] lr: 1.0000e-04 eta: 21:34:47 time: 0.4293 data_time: 0.0146 memory: 17087 grad_norm: 6.7772 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7507 loss: 0.7507 2022/08/04 22:13:22 - mmengine - INFO - Epoch(train) [161][800/1879] lr: 1.0000e-04 eta: 21:34:38 time: 0.4329 data_time: 0.0151 memory: 17087 grad_norm: 6.6721 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9849 loss: 0.9849 2022/08/04 22:13:31 - mmengine - INFO - Epoch(train) [161][820/1879] lr: 1.0000e-04 eta: 21:34:29 time: 0.4312 data_time: 0.0151 memory: 17087 grad_norm: 6.5406 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8592 loss: 0.8592 2022/08/04 22:13:39 - mmengine - INFO - Epoch(train) [161][840/1879] lr: 1.0000e-04 eta: 21:34:21 time: 0.4331 data_time: 0.0187 memory: 17087 grad_norm: 6.6774 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8606 loss: 0.8606 2022/08/04 22:13:48 - mmengine - INFO - Epoch(train) [161][860/1879] lr: 1.0000e-04 eta: 21:34:12 time: 0.4384 data_time: 0.0267 memory: 17087 grad_norm: 6.5546 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9001 loss: 0.9001 2022/08/04 22:13:57 - mmengine - INFO - Epoch(train) [161][880/1879] lr: 1.0000e-04 eta: 21:34:03 time: 0.4287 data_time: 0.0153 memory: 17087 grad_norm: 6.6545 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8811 loss: 0.8811 2022/08/04 22:14:05 - mmengine - INFO - Epoch(train) [161][900/1879] lr: 1.0000e-04 eta: 21:33:55 time: 0.4327 data_time: 0.0147 memory: 17087 grad_norm: 6.6448 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9228 loss: 0.9228 2022/08/04 22:14:14 - mmengine - INFO - Epoch(train) [161][920/1879] lr: 1.0000e-04 eta: 21:33:46 time: 0.4303 data_time: 0.0152 memory: 17087 grad_norm: 6.3730 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8984 loss: 0.8984 2022/08/04 22:14:23 - mmengine - INFO - Epoch(train) [161][940/1879] lr: 1.0000e-04 eta: 21:33:38 time: 0.4548 data_time: 0.0169 memory: 17087 grad_norm: 6.8508 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8631 loss: 0.8631 2022/08/04 22:14:32 - mmengine - INFO - Epoch(train) [161][960/1879] lr: 1.0000e-04 eta: 21:33:29 time: 0.4342 data_time: 0.0194 memory: 17087 grad_norm: 6.5630 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9247 loss: 0.9247 2022/08/04 22:14:40 - mmengine - INFO - Epoch(train) [161][980/1879] lr: 1.0000e-04 eta: 21:33:20 time: 0.4296 data_time: 0.0161 memory: 17087 grad_norm: 6.5053 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7918 loss: 0.7918 2022/08/04 22:14:49 - mmengine - INFO - Epoch(train) [161][1000/1879] lr: 1.0000e-04 eta: 21:33:12 time: 0.4444 data_time: 0.0155 memory: 17087 grad_norm: 6.3492 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8188 loss: 0.8188 2022/08/04 22:14:58 - mmengine - INFO - Epoch(train) [161][1020/1879] lr: 1.0000e-04 eta: 21:33:03 time: 0.4349 data_time: 0.0203 memory: 17087 grad_norm: 6.7337 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7098 loss: 0.7098 2022/08/04 22:15:07 - mmengine - INFO - Epoch(train) [161][1040/1879] lr: 1.0000e-04 eta: 21:32:54 time: 0.4308 data_time: 0.0157 memory: 17087 grad_norm: 6.8477 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8741 loss: 0.8741 2022/08/04 22:15:15 - mmengine - INFO - Epoch(train) [161][1060/1879] lr: 1.0000e-04 eta: 21:32:46 time: 0.4381 data_time: 0.0161 memory: 17087 grad_norm: 6.7058 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8478 loss: 0.8478 2022/08/04 22:15:24 - mmengine - INFO - Epoch(train) [161][1080/1879] lr: 1.0000e-04 eta: 21:32:37 time: 0.4303 data_time: 0.0160 memory: 17087 grad_norm: 6.4223 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8555 loss: 0.8555 2022/08/04 22:15:33 - mmengine - INFO - Epoch(train) [161][1100/1879] lr: 1.0000e-04 eta: 21:32:29 time: 0.4347 data_time: 0.0154 memory: 17087 grad_norm: 6.7977 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8881 loss: 0.8881 2022/08/04 22:15:41 - mmengine - INFO - Epoch(train) [161][1120/1879] lr: 1.0000e-04 eta: 21:32:20 time: 0.4317 data_time: 0.0192 memory: 17087 grad_norm: 6.8774 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0196 loss: 1.0196 2022/08/04 22:15:50 - mmengine - INFO - Epoch(train) [161][1140/1879] lr: 1.0000e-04 eta: 21:32:11 time: 0.4318 data_time: 0.0148 memory: 17087 grad_norm: 6.6240 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8953 loss: 0.8953 2022/08/04 22:15:59 - mmengine - INFO - Epoch(train) [161][1160/1879] lr: 1.0000e-04 eta: 21:32:03 time: 0.4283 data_time: 0.0155 memory: 17087 grad_norm: 6.5017 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9325 loss: 0.9325 2022/08/04 22:16:07 - mmengine - INFO - Epoch(train) [161][1180/1879] lr: 1.0000e-04 eta: 21:31:54 time: 0.4288 data_time: 0.0142 memory: 17087 grad_norm: 6.6524 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7045 loss: 0.7045 2022/08/04 22:16:16 - mmengine - INFO - Epoch(train) [161][1200/1879] lr: 1.0000e-04 eta: 21:31:45 time: 0.4330 data_time: 0.0163 memory: 17087 grad_norm: 6.5728 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9649 loss: 0.9649 2022/08/04 22:16:24 - mmengine - INFO - Epoch(train) [161][1220/1879] lr: 1.0000e-04 eta: 21:31:36 time: 0.4294 data_time: 0.0147 memory: 17087 grad_norm: 7.0325 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8218 loss: 0.8218 2022/08/04 22:16:33 - mmengine - INFO - Epoch(train) [161][1240/1879] lr: 1.0000e-04 eta: 21:31:28 time: 0.4316 data_time: 0.0193 memory: 17087 grad_norm: 6.6546 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8729 loss: 0.8729 2022/08/04 22:16:42 - mmengine - INFO - Epoch(train) [161][1260/1879] lr: 1.0000e-04 eta: 21:31:19 time: 0.4306 data_time: 0.0153 memory: 17087 grad_norm: 6.7853 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7807 loss: 0.7807 2022/08/04 22:16:51 - mmengine - INFO - Epoch(train) [161][1280/1879] lr: 1.0000e-04 eta: 21:31:11 time: 0.4445 data_time: 0.0172 memory: 17087 grad_norm: 6.7206 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8112 loss: 0.8112 2022/08/04 22:16:59 - mmengine - INFO - Epoch(train) [161][1300/1879] lr: 1.0000e-04 eta: 21:31:02 time: 0.4291 data_time: 0.0155 memory: 17087 grad_norm: 6.7091 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7420 loss: 0.7420 2022/08/04 22:17:08 - mmengine - INFO - Epoch(train) [161][1320/1879] lr: 1.0000e-04 eta: 21:30:54 time: 0.4524 data_time: 0.0180 memory: 17087 grad_norm: 6.7135 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.5803 loss: 0.5803 2022/08/04 22:17:17 - mmengine - INFO - Epoch(train) [161][1340/1879] lr: 1.0000e-04 eta: 21:30:45 time: 0.4279 data_time: 0.0146 memory: 17087 grad_norm: 6.6552 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8069 loss: 0.8069 2022/08/04 22:17:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 22:17:26 - mmengine - INFO - Epoch(train) [161][1360/1879] lr: 1.0000e-04 eta: 21:30:36 time: 0.4345 data_time: 0.0214 memory: 17087 grad_norm: 6.5431 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8630 loss: 0.8630 2022/08/04 22:17:34 - mmengine - INFO - Epoch(train) [161][1380/1879] lr: 1.0000e-04 eta: 21:30:28 time: 0.4282 data_time: 0.0145 memory: 17087 grad_norm: 6.6740 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8292 loss: 0.8292 2022/08/04 22:17:43 - mmengine - INFO - Epoch(train) [161][1400/1879] lr: 1.0000e-04 eta: 21:30:19 time: 0.4303 data_time: 0.0171 memory: 17087 grad_norm: 6.5315 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9518 loss: 0.9518 2022/08/04 22:17:52 - mmengine - INFO - Epoch(train) [161][1420/1879] lr: 1.0000e-04 eta: 21:30:10 time: 0.4508 data_time: 0.0150 memory: 17087 grad_norm: 6.8742 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9219 loss: 0.9219 2022/08/04 22:18:01 - mmengine - INFO - Epoch(train) [161][1440/1879] lr: 1.0000e-04 eta: 21:30:02 time: 0.4353 data_time: 0.0174 memory: 17087 grad_norm: 6.7475 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9513 loss: 0.9513 2022/08/04 22:18:10 - mmengine - INFO - Epoch(train) [161][1460/1879] lr: 1.0000e-04 eta: 21:29:53 time: 0.4517 data_time: 0.0185 memory: 17087 grad_norm: 6.7054 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8492 loss: 0.8492 2022/08/04 22:18:18 - mmengine - INFO - Epoch(train) [161][1480/1879] lr: 1.0000e-04 eta: 21:29:45 time: 0.4298 data_time: 0.0166 memory: 17087 grad_norm: 6.7783 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6733 loss: 0.6733 2022/08/04 22:18:27 - mmengine - INFO - Epoch(train) [161][1500/1879] lr: 1.0000e-04 eta: 21:29:36 time: 0.4284 data_time: 0.0150 memory: 17087 grad_norm: 6.6787 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7628 loss: 0.7628 2022/08/04 22:18:36 - mmengine - INFO - Epoch(train) [161][1520/1879] lr: 1.0000e-04 eta: 21:29:27 time: 0.4333 data_time: 0.0172 memory: 17087 grad_norm: 6.8116 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9502 loss: 0.9502 2022/08/04 22:18:44 - mmengine - INFO - Epoch(train) [161][1540/1879] lr: 1.0000e-04 eta: 21:29:19 time: 0.4276 data_time: 0.0155 memory: 17087 grad_norm: 6.8172 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8031 loss: 0.8031 2022/08/04 22:18:53 - mmengine - INFO - Epoch(train) [161][1560/1879] lr: 1.0000e-04 eta: 21:29:10 time: 0.4497 data_time: 0.0176 memory: 17087 grad_norm: 6.8264 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8464 loss: 0.8464 2022/08/04 22:19:02 - mmengine - INFO - Epoch(train) [161][1580/1879] lr: 1.0000e-04 eta: 21:29:01 time: 0.4307 data_time: 0.0154 memory: 17087 grad_norm: 6.6504 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7829 loss: 0.7829 2022/08/04 22:19:10 - mmengine - INFO - Epoch(train) [161][1600/1879] lr: 1.0000e-04 eta: 21:28:53 time: 0.4322 data_time: 0.0183 memory: 17087 grad_norm: 6.6961 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7643 loss: 0.7643 2022/08/04 22:19:19 - mmengine - INFO - Epoch(train) [161][1620/1879] lr: 1.0000e-04 eta: 21:28:44 time: 0.4280 data_time: 0.0149 memory: 17087 grad_norm: 6.6909 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8163 loss: 0.8163 2022/08/04 22:19:28 - mmengine - INFO - Epoch(train) [161][1640/1879] lr: 1.0000e-04 eta: 21:28:35 time: 0.4311 data_time: 0.0163 memory: 17087 grad_norm: 6.6593 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8887 loss: 0.8887 2022/08/04 22:19:36 - mmengine - INFO - Epoch(train) [161][1660/1879] lr: 1.0000e-04 eta: 21:28:27 time: 0.4330 data_time: 0.0141 memory: 17087 grad_norm: 6.6374 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8567 loss: 0.8567 2022/08/04 22:19:45 - mmengine - INFO - Epoch(train) [161][1680/1879] lr: 1.0000e-04 eta: 21:28:18 time: 0.4491 data_time: 0.0152 memory: 17087 grad_norm: 6.7059 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0783 loss: 1.0783 2022/08/04 22:19:54 - mmengine - INFO - Epoch(train) [161][1700/1879] lr: 1.0000e-04 eta: 21:28:10 time: 0.4313 data_time: 0.0169 memory: 17087 grad_norm: 6.6365 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9509 loss: 0.9509 2022/08/04 22:20:03 - mmengine - INFO - Epoch(train) [161][1720/1879] lr: 1.0000e-04 eta: 21:28:01 time: 0.4378 data_time: 0.0221 memory: 17087 grad_norm: 6.6016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6251 loss: 0.6251 2022/08/04 22:20:11 - mmengine - INFO - Epoch(train) [161][1740/1879] lr: 1.0000e-04 eta: 21:27:52 time: 0.4298 data_time: 0.0167 memory: 17087 grad_norm: 6.5851 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7111 loss: 0.7111 2022/08/04 22:20:20 - mmengine - INFO - Epoch(train) [161][1760/1879] lr: 1.0000e-04 eta: 21:27:44 time: 0.4489 data_time: 0.0165 memory: 17087 grad_norm: 6.8757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7558 loss: 0.7558 2022/08/04 22:20:29 - mmengine - INFO - Epoch(train) [161][1780/1879] lr: 1.0000e-04 eta: 21:27:35 time: 0.4366 data_time: 0.0213 memory: 17087 grad_norm: 6.8404 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8699 loss: 0.8699 2022/08/04 22:20:38 - mmengine - INFO - Epoch(train) [161][1800/1879] lr: 1.0000e-04 eta: 21:27:27 time: 0.4277 data_time: 0.0151 memory: 17087 grad_norm: 6.8135 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7689 loss: 0.7689 2022/08/04 22:20:46 - mmengine - INFO - Epoch(train) [161][1820/1879] lr: 1.0000e-04 eta: 21:27:18 time: 0.4314 data_time: 0.0157 memory: 17087 grad_norm: 6.7786 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9903 loss: 0.9903 2022/08/04 22:20:55 - mmengine - INFO - Epoch(train) [161][1840/1879] lr: 1.0000e-04 eta: 21:27:09 time: 0.4304 data_time: 0.0159 memory: 17087 grad_norm: 6.7304 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8861 loss: 0.8861 2022/08/04 22:21:04 - mmengine - INFO - Epoch(train) [161][1860/1879] lr: 1.0000e-04 eta: 21:27:01 time: 0.4324 data_time: 0.0178 memory: 17087 grad_norm: 6.5958 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6915 loss: 0.6915 2022/08/04 22:21:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 22:21:11 - mmengine - INFO - Epoch(train) [161][1879/1879] lr: 1.0000e-04 eta: 21:27:01 time: 0.4108 data_time: 0.0138 memory: 17087 grad_norm: 7.0154 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0394 loss: 1.0394 2022/08/04 22:21:23 - mmengine - INFO - Epoch(train) [162][20/1879] lr: 1.0000e-04 eta: 21:26:41 time: 0.5649 data_time: 0.1093 memory: 17087 grad_norm: 6.3631 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8105 loss: 0.8105 2022/08/04 22:21:32 - mmengine - INFO - Epoch(train) [162][40/1879] lr: 1.0000e-04 eta: 21:26:32 time: 0.4375 data_time: 0.0175 memory: 17087 grad_norm: 6.7920 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9452 loss: 0.9452 2022/08/04 22:21:40 - mmengine - INFO - Epoch(train) [162][60/1879] lr: 1.0000e-04 eta: 21:26:23 time: 0.4307 data_time: 0.0148 memory: 17087 grad_norm: 6.9539 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7972 loss: 0.7972 2022/08/04 22:21:49 - mmengine - INFO - Epoch(train) [162][80/1879] lr: 1.0000e-04 eta: 21:26:15 time: 0.4400 data_time: 0.0165 memory: 17087 grad_norm: 6.9479 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9183 loss: 0.9183 2022/08/04 22:21:58 - mmengine - INFO - Epoch(train) [162][100/1879] lr: 1.0000e-04 eta: 21:26:06 time: 0.4298 data_time: 0.0160 memory: 17087 grad_norm: 7.0297 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8545 loss: 0.8545 2022/08/04 22:22:06 - mmengine - INFO - Epoch(train) [162][120/1879] lr: 1.0000e-04 eta: 21:25:57 time: 0.4303 data_time: 0.0169 memory: 17087 grad_norm: 6.7326 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9434 loss: 0.9434 2022/08/04 22:22:15 - mmengine - INFO - Epoch(train) [162][140/1879] lr: 1.0000e-04 eta: 21:25:49 time: 0.4466 data_time: 0.0157 memory: 17087 grad_norm: 6.9168 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9527 loss: 0.9527 2022/08/04 22:22:24 - mmengine - INFO - Epoch(train) [162][160/1879] lr: 1.0000e-04 eta: 21:25:40 time: 0.4386 data_time: 0.0173 memory: 17087 grad_norm: 6.6789 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0061 loss: 1.0061 2022/08/04 22:22:33 - mmengine - INFO - Epoch(train) [162][180/1879] lr: 1.0000e-04 eta: 21:25:32 time: 0.4526 data_time: 0.0160 memory: 17087 grad_norm: 6.7392 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7638 loss: 0.7638 2022/08/04 22:22:42 - mmengine - INFO - Epoch(train) [162][200/1879] lr: 1.0000e-04 eta: 21:25:23 time: 0.4376 data_time: 0.0164 memory: 17087 grad_norm: 6.7240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8643 loss: 0.8643 2022/08/04 22:22:51 - mmengine - INFO - Epoch(train) [162][220/1879] lr: 1.0000e-04 eta: 21:25:15 time: 0.4534 data_time: 0.0175 memory: 17087 grad_norm: 6.8265 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9519 loss: 0.9519 2022/08/04 22:23:00 - mmengine - INFO - Epoch(train) [162][240/1879] lr: 1.0000e-04 eta: 21:25:06 time: 0.4362 data_time: 0.0199 memory: 17087 grad_norm: 6.7893 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9465 loss: 0.9465 2022/08/04 22:23:08 - mmengine - INFO - Epoch(train) [162][260/1879] lr: 1.0000e-04 eta: 21:24:58 time: 0.4296 data_time: 0.0151 memory: 17087 grad_norm: 6.6838 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7059 loss: 0.7059 2022/08/04 22:23:17 - mmengine - INFO - Epoch(train) [162][280/1879] lr: 1.0000e-04 eta: 21:24:49 time: 0.4292 data_time: 0.0163 memory: 17087 grad_norm: 6.8078 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7886 loss: 0.7886 2022/08/04 22:23:25 - mmengine - INFO - Epoch(train) [162][300/1879] lr: 1.0000e-04 eta: 21:24:40 time: 0.4326 data_time: 0.0143 memory: 17087 grad_norm: 6.3840 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7463 loss: 0.7463 2022/08/04 22:23:34 - mmengine - INFO - Epoch(train) [162][320/1879] lr: 1.0000e-04 eta: 21:24:32 time: 0.4472 data_time: 0.0179 memory: 17087 grad_norm: 6.5167 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8581 loss: 0.8581 2022/08/04 22:23:43 - mmengine - INFO - Epoch(train) [162][340/1879] lr: 1.0000e-04 eta: 21:24:23 time: 0.4335 data_time: 0.0129 memory: 17087 grad_norm: 6.5983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7411 loss: 0.7411 2022/08/04 22:23:52 - mmengine - INFO - Epoch(train) [162][360/1879] lr: 1.0000e-04 eta: 21:24:15 time: 0.4569 data_time: 0.0173 memory: 17087 grad_norm: 6.7129 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8273 loss: 0.8273 2022/08/04 22:24:01 - mmengine - INFO - Epoch(train) [162][380/1879] lr: 1.0000e-04 eta: 21:24:06 time: 0.4370 data_time: 0.0194 memory: 17087 grad_norm: 7.0038 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9304 loss: 0.9304 2022/08/04 22:24:10 - mmengine - INFO - Epoch(train) [162][400/1879] lr: 1.0000e-04 eta: 21:23:58 time: 0.4482 data_time: 0.0165 memory: 17087 grad_norm: 6.6183 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0164 loss: 1.0164 2022/08/04 22:24:19 - mmengine - INFO - Epoch(train) [162][420/1879] lr: 1.0000e-04 eta: 21:23:49 time: 0.4271 data_time: 0.0136 memory: 17087 grad_norm: 6.8443 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7865 loss: 0.7865 2022/08/04 22:24:27 - mmengine - INFO - Epoch(train) [162][440/1879] lr: 1.0000e-04 eta: 21:23:40 time: 0.4344 data_time: 0.0203 memory: 17087 grad_norm: 6.9712 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8177 loss: 0.8177 2022/08/04 22:24:36 - mmengine - INFO - Epoch(train) [162][460/1879] lr: 1.0000e-04 eta: 21:23:32 time: 0.4498 data_time: 0.0168 memory: 17087 grad_norm: 6.8682 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8852 loss: 0.8852 2022/08/04 22:24:45 - mmengine - INFO - Epoch(train) [162][480/1879] lr: 1.0000e-04 eta: 21:23:23 time: 0.4294 data_time: 0.0172 memory: 17087 grad_norm: 6.7810 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8322 loss: 0.8322 2022/08/04 22:24:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 22:24:54 - mmengine - INFO - Epoch(train) [162][500/1879] lr: 1.0000e-04 eta: 21:23:15 time: 0.4298 data_time: 0.0154 memory: 17087 grad_norm: 6.5880 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7509 loss: 0.7509 2022/08/04 22:25:02 - mmengine - INFO - Epoch(train) [162][520/1879] lr: 1.0000e-04 eta: 21:23:06 time: 0.4310 data_time: 0.0170 memory: 17087 grad_norm: 6.9337 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9638 loss: 0.9638 2022/08/04 22:25:11 - mmengine - INFO - Epoch(train) [162][540/1879] lr: 1.0000e-04 eta: 21:22:58 time: 0.4621 data_time: 0.0152 memory: 17087 grad_norm: 6.6417 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8875 loss: 0.8875 2022/08/04 22:25:20 - mmengine - INFO - Epoch(train) [162][560/1879] lr: 1.0000e-04 eta: 21:22:49 time: 0.4311 data_time: 0.0172 memory: 17087 grad_norm: 6.7755 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7437 loss: 0.7437 2022/08/04 22:25:29 - mmengine - INFO - Epoch(train) [162][580/1879] lr: 1.0000e-04 eta: 21:22:40 time: 0.4383 data_time: 0.0153 memory: 17087 grad_norm: 6.6883 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7409 loss: 0.7409 2022/08/04 22:25:38 - mmengine - INFO - Epoch(train) [162][600/1879] lr: 1.0000e-04 eta: 21:22:32 time: 0.4328 data_time: 0.0171 memory: 17087 grad_norm: 6.6204 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9605 loss: 0.9605 2022/08/04 22:25:46 - mmengine - INFO - Epoch(train) [162][620/1879] lr: 1.0000e-04 eta: 21:22:23 time: 0.4295 data_time: 0.0145 memory: 17087 grad_norm: 6.9697 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1270 loss: 1.1270 2022/08/04 22:25:55 - mmengine - INFO - Epoch(train) [162][640/1879] lr: 1.0000e-04 eta: 21:22:14 time: 0.4502 data_time: 0.0192 memory: 17087 grad_norm: 6.8113 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0400 loss: 1.0400 2022/08/04 22:26:04 - mmengine - INFO - Epoch(train) [162][660/1879] lr: 1.0000e-04 eta: 21:22:06 time: 0.4309 data_time: 0.0151 memory: 17087 grad_norm: 6.5272 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7603 loss: 0.7603 2022/08/04 22:26:13 - mmengine - INFO - Epoch(train) [162][680/1879] lr: 1.0000e-04 eta: 21:21:57 time: 0.4421 data_time: 0.0163 memory: 17087 grad_norm: 6.7331 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8919 loss: 0.8919 2022/08/04 22:26:21 - mmengine - INFO - Epoch(train) [162][700/1879] lr: 1.0000e-04 eta: 21:21:49 time: 0.4300 data_time: 0.0152 memory: 17087 grad_norm: 6.8866 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9309 loss: 0.9309 2022/08/04 22:26:30 - mmengine - INFO - Epoch(train) [162][720/1879] lr: 1.0000e-04 eta: 21:21:40 time: 0.4427 data_time: 0.0171 memory: 17087 grad_norm: 6.6615 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7319 loss: 0.7319 2022/08/04 22:26:39 - mmengine - INFO - Epoch(train) [162][740/1879] lr: 1.0000e-04 eta: 21:21:31 time: 0.4291 data_time: 0.0165 memory: 17087 grad_norm: 6.9417 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8216 loss: 0.8216 2022/08/04 22:26:47 - mmengine - INFO - Epoch(train) [162][760/1879] lr: 1.0000e-04 eta: 21:21:23 time: 0.4282 data_time: 0.0163 memory: 17087 grad_norm: 6.9194 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0233 loss: 1.0233 2022/08/04 22:26:56 - mmengine - INFO - Epoch(train) [162][780/1879] lr: 1.0000e-04 eta: 21:21:14 time: 0.4492 data_time: 0.0163 memory: 17087 grad_norm: 7.0719 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0181 loss: 1.0181 2022/08/04 22:27:05 - mmengine - INFO - Epoch(train) [162][800/1879] lr: 1.0000e-04 eta: 21:21:06 time: 0.4300 data_time: 0.0168 memory: 17087 grad_norm: 6.7545 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8269 loss: 0.8269 2022/08/04 22:27:14 - mmengine - INFO - Epoch(train) [162][820/1879] lr: 1.0000e-04 eta: 21:20:57 time: 0.4331 data_time: 0.0161 memory: 17087 grad_norm: 6.8724 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8806 loss: 0.8806 2022/08/04 22:27:22 - mmengine - INFO - Epoch(train) [162][840/1879] lr: 1.0000e-04 eta: 21:20:48 time: 0.4291 data_time: 0.0164 memory: 17087 grad_norm: 6.8381 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8699 loss: 0.8699 2022/08/04 22:27:31 - mmengine - INFO - Epoch(train) [162][860/1879] lr: 1.0000e-04 eta: 21:20:40 time: 0.4353 data_time: 0.0155 memory: 17087 grad_norm: 6.6176 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7041 loss: 0.7041 2022/08/04 22:27:40 - mmengine - INFO - Epoch(train) [162][880/1879] lr: 1.0000e-04 eta: 21:20:31 time: 0.4293 data_time: 0.0160 memory: 17087 grad_norm: 6.8051 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7025 loss: 0.7025 2022/08/04 22:27:48 - mmengine - INFO - Epoch(train) [162][900/1879] lr: 1.0000e-04 eta: 21:20:22 time: 0.4294 data_time: 0.0139 memory: 17087 grad_norm: 6.7397 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8725 loss: 0.8725 2022/08/04 22:27:57 - mmengine - INFO - Epoch(train) [162][920/1879] lr: 1.0000e-04 eta: 21:20:14 time: 0.4321 data_time: 0.0176 memory: 17087 grad_norm: 6.7484 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8382 loss: 0.8382 2022/08/04 22:28:05 - mmengine - INFO - Epoch(train) [162][940/1879] lr: 1.0000e-04 eta: 21:20:05 time: 0.4302 data_time: 0.0149 memory: 17087 grad_norm: 6.4953 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8203 loss: 0.8203 2022/08/04 22:28:14 - mmengine - INFO - Epoch(train) [162][960/1879] lr: 1.0000e-04 eta: 21:19:56 time: 0.4355 data_time: 0.0147 memory: 17087 grad_norm: 6.6033 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8623 loss: 0.8623 2022/08/04 22:28:23 - mmengine - INFO - Epoch(train) [162][980/1879] lr: 1.0000e-04 eta: 21:19:48 time: 0.4297 data_time: 0.0167 memory: 17087 grad_norm: 6.6564 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7394 loss: 0.7394 2022/08/04 22:28:31 - mmengine - INFO - Epoch(train) [162][1000/1879] lr: 1.0000e-04 eta: 21:19:39 time: 0.4316 data_time: 0.0162 memory: 17087 grad_norm: 6.9723 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8635 loss: 0.8635 2022/08/04 22:28:40 - mmengine - INFO - Epoch(train) [162][1020/1879] lr: 1.0000e-04 eta: 21:19:30 time: 0.4310 data_time: 0.0165 memory: 17087 grad_norm: 6.5790 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9024 loss: 0.9024 2022/08/04 22:28:49 - mmengine - INFO - Epoch(train) [162][1040/1879] lr: 1.0000e-04 eta: 21:19:22 time: 0.4298 data_time: 0.0156 memory: 17087 grad_norm: 6.9272 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8889 loss: 0.8889 2022/08/04 22:28:57 - mmengine - INFO - Epoch(train) [162][1060/1879] lr: 1.0000e-04 eta: 21:19:13 time: 0.4290 data_time: 0.0154 memory: 17087 grad_norm: 6.8969 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7824 loss: 0.7824 2022/08/04 22:29:06 - mmengine - INFO - Epoch(train) [162][1080/1879] lr: 1.0000e-04 eta: 21:19:04 time: 0.4369 data_time: 0.0156 memory: 17087 grad_norm: 6.7382 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7787 loss: 0.7787 2022/08/04 22:29:15 - mmengine - INFO - Epoch(train) [162][1100/1879] lr: 1.0000e-04 eta: 21:18:56 time: 0.4392 data_time: 0.0144 memory: 17087 grad_norm: 6.9352 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8794 loss: 0.8794 2022/08/04 22:29:24 - mmengine - INFO - Epoch(train) [162][1120/1879] lr: 1.0000e-04 eta: 21:18:47 time: 0.4480 data_time: 0.0176 memory: 17087 grad_norm: 6.6737 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9424 loss: 0.9424 2022/08/04 22:29:33 - mmengine - INFO - Epoch(train) [162][1140/1879] lr: 1.0000e-04 eta: 21:18:39 time: 0.4363 data_time: 0.0187 memory: 17087 grad_norm: 6.5459 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8286 loss: 0.8286 2022/08/04 22:29:41 - mmengine - INFO - Epoch(train) [162][1160/1879] lr: 1.0000e-04 eta: 21:18:30 time: 0.4311 data_time: 0.0162 memory: 17087 grad_norm: 6.6535 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6964 loss: 0.6964 2022/08/04 22:29:50 - mmengine - INFO - Epoch(train) [162][1180/1879] lr: 1.0000e-04 eta: 21:18:21 time: 0.4337 data_time: 0.0148 memory: 17087 grad_norm: 6.4650 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6880 loss: 0.6880 2022/08/04 22:29:58 - mmengine - INFO - Epoch(train) [162][1200/1879] lr: 1.0000e-04 eta: 21:18:13 time: 0.4297 data_time: 0.0177 memory: 17087 grad_norm: 6.7152 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.7911 loss: 0.7911 2022/08/04 22:30:07 - mmengine - INFO - Epoch(train) [162][1220/1879] lr: 1.0000e-04 eta: 21:18:04 time: 0.4361 data_time: 0.0146 memory: 17087 grad_norm: 6.7130 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7905 loss: 0.7905 2022/08/04 22:30:16 - mmengine - INFO - Epoch(train) [162][1240/1879] lr: 1.0000e-04 eta: 21:17:56 time: 0.4457 data_time: 0.0185 memory: 17087 grad_norm: 6.9179 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8985 loss: 0.8985 2022/08/04 22:30:25 - mmengine - INFO - Epoch(train) [162][1260/1879] lr: 1.0000e-04 eta: 21:17:47 time: 0.4276 data_time: 0.0135 memory: 17087 grad_norm: 6.5499 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7759 loss: 0.7759 2022/08/04 22:30:33 - mmengine - INFO - Epoch(train) [162][1280/1879] lr: 1.0000e-04 eta: 21:17:38 time: 0.4355 data_time: 0.0168 memory: 17087 grad_norm: 6.5367 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9012 loss: 0.9012 2022/08/04 22:30:42 - mmengine - INFO - Epoch(train) [162][1300/1879] lr: 1.0000e-04 eta: 21:17:29 time: 0.4280 data_time: 0.0137 memory: 17087 grad_norm: 6.6922 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8722 loss: 0.8722 2022/08/04 22:30:51 - mmengine - INFO - Epoch(train) [162][1320/1879] lr: 1.0000e-04 eta: 21:17:21 time: 0.4349 data_time: 0.0170 memory: 17087 grad_norm: 6.5014 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8658 loss: 0.8658 2022/08/04 22:30:59 - mmengine - INFO - Epoch(train) [162][1340/1879] lr: 1.0000e-04 eta: 21:17:12 time: 0.4299 data_time: 0.0147 memory: 17087 grad_norm: 6.5565 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7763 loss: 0.7763 2022/08/04 22:31:08 - mmengine - INFO - Epoch(train) [162][1360/1879] lr: 1.0000e-04 eta: 21:17:04 time: 0.4301 data_time: 0.0177 memory: 17087 grad_norm: 6.7378 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8211 loss: 0.8211 2022/08/04 22:31:17 - mmengine - INFO - Epoch(train) [162][1380/1879] lr: 1.0000e-04 eta: 21:16:55 time: 0.4478 data_time: 0.0156 memory: 17087 grad_norm: 6.5963 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9659 loss: 0.9659 2022/08/04 22:31:26 - mmengine - INFO - Epoch(train) [162][1400/1879] lr: 1.0000e-04 eta: 21:16:46 time: 0.4290 data_time: 0.0161 memory: 17087 grad_norm: 6.7753 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8767 loss: 0.8767 2022/08/04 22:31:35 - mmengine - INFO - Epoch(train) [162][1420/1879] lr: 1.0000e-04 eta: 21:16:38 time: 0.4496 data_time: 0.0205 memory: 17087 grad_norm: 6.6376 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8297 loss: 0.8297 2022/08/04 22:31:43 - mmengine - INFO - Epoch(train) [162][1440/1879] lr: 1.0000e-04 eta: 21:16:29 time: 0.4298 data_time: 0.0153 memory: 17087 grad_norm: 6.7466 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8377 loss: 0.8377 2022/08/04 22:31:52 - mmengine - INFO - Epoch(train) [162][1460/1879] lr: 1.0000e-04 eta: 21:16:21 time: 0.4335 data_time: 0.0153 memory: 17087 grad_norm: 6.8492 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7987 loss: 0.7987 2022/08/04 22:32:00 - mmengine - INFO - Epoch(train) [162][1480/1879] lr: 1.0000e-04 eta: 21:16:12 time: 0.4306 data_time: 0.0165 memory: 17087 grad_norm: 6.7287 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9327 loss: 0.9327 2022/08/04 22:32:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 22:32:09 - mmengine - INFO - Epoch(train) [162][1500/1879] lr: 1.0000e-04 eta: 21:16:03 time: 0.4275 data_time: 0.0145 memory: 17087 grad_norm: 6.5709 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9459 loss: 0.9459 2022/08/04 22:32:18 - mmengine - INFO - Epoch(train) [162][1520/1879] lr: 1.0000e-04 eta: 21:15:54 time: 0.4294 data_time: 0.0176 memory: 17087 grad_norm: 6.8702 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8721 loss: 0.8721 2022/08/04 22:32:26 - mmengine - INFO - Epoch(train) [162][1540/1879] lr: 1.0000e-04 eta: 21:15:46 time: 0.4272 data_time: 0.0131 memory: 17087 grad_norm: 6.5845 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9095 loss: 0.9095 2022/08/04 22:32:35 - mmengine - INFO - Epoch(train) [162][1560/1879] lr: 1.0000e-04 eta: 21:15:37 time: 0.4515 data_time: 0.0184 memory: 17087 grad_norm: 6.8432 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7831 loss: 0.7831 2022/08/04 22:32:44 - mmengine - INFO - Epoch(train) [162][1580/1879] lr: 1.0000e-04 eta: 21:15:29 time: 0.4287 data_time: 0.0164 memory: 17087 grad_norm: 6.7922 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8181 loss: 0.8181 2022/08/04 22:32:53 - mmengine - INFO - Epoch(train) [162][1600/1879] lr: 1.0000e-04 eta: 21:15:20 time: 0.4595 data_time: 0.0160 memory: 17087 grad_norm: 6.4989 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8681 loss: 0.8681 2022/08/04 22:33:02 - mmengine - INFO - Epoch(train) [162][1620/1879] lr: 1.0000e-04 eta: 21:15:12 time: 0.4295 data_time: 0.0149 memory: 17087 grad_norm: 6.8492 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9886 loss: 0.9886 2022/08/04 22:33:11 - mmengine - INFO - Epoch(train) [162][1640/1879] lr: 1.0000e-04 eta: 21:15:03 time: 0.4502 data_time: 0.0176 memory: 17087 grad_norm: 6.8602 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9003 loss: 0.9003 2022/08/04 22:33:19 - mmengine - INFO - Epoch(train) [162][1660/1879] lr: 1.0000e-04 eta: 21:14:54 time: 0.4290 data_time: 0.0167 memory: 17087 grad_norm: 6.5497 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8290 loss: 0.8290 2022/08/04 22:33:28 - mmengine - INFO - Epoch(train) [162][1680/1879] lr: 1.0000e-04 eta: 21:14:46 time: 0.4294 data_time: 0.0154 memory: 17087 grad_norm: 6.7320 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9904 loss: 0.9904 2022/08/04 22:33:37 - mmengine - INFO - Epoch(train) [162][1700/1879] lr: 1.0000e-04 eta: 21:14:37 time: 0.4390 data_time: 0.0151 memory: 17087 grad_norm: 6.7391 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0576 loss: 1.0576 2022/08/04 22:33:45 - mmengine - INFO - Epoch(train) [162][1720/1879] lr: 1.0000e-04 eta: 21:14:29 time: 0.4312 data_time: 0.0154 memory: 17087 grad_norm: 6.5776 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9195 loss: 0.9195 2022/08/04 22:33:54 - mmengine - INFO - Epoch(train) [162][1740/1879] lr: 1.0000e-04 eta: 21:14:20 time: 0.4333 data_time: 0.0167 memory: 17087 grad_norm: 6.6318 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0320 loss: 1.0320 2022/08/04 22:34:03 - mmengine - INFO - Epoch(train) [162][1760/1879] lr: 1.0000e-04 eta: 21:14:11 time: 0.4284 data_time: 0.0153 memory: 17087 grad_norm: 6.5681 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9954 loss: 0.9954 2022/08/04 22:34:12 - mmengine - INFO - Epoch(train) [162][1780/1879] lr: 1.0000e-04 eta: 21:14:03 time: 0.4452 data_time: 0.0161 memory: 17087 grad_norm: 6.4834 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9277 loss: 0.9277 2022/08/04 22:34:20 - mmengine - INFO - Epoch(train) [162][1800/1879] lr: 1.0000e-04 eta: 21:13:54 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 6.7360 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8900 loss: 0.8900 2022/08/04 22:34:29 - mmengine - INFO - Epoch(train) [162][1820/1879] lr: 1.0000e-04 eta: 21:13:45 time: 0.4272 data_time: 0.0149 memory: 17087 grad_norm: 6.6211 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8017 loss: 0.8017 2022/08/04 22:34:38 - mmengine - INFO - Epoch(train) [162][1840/1879] lr: 1.0000e-04 eta: 21:13:37 time: 0.4539 data_time: 0.0164 memory: 17087 grad_norm: 6.7407 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8703 loss: 0.8703 2022/08/04 22:34:46 - mmengine - INFO - Epoch(train) [162][1860/1879] lr: 1.0000e-04 eta: 21:13:28 time: 0.4283 data_time: 0.0152 memory: 17087 grad_norm: 6.9628 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8583 loss: 0.8583 2022/08/04 22:34:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 22:34:55 - mmengine - INFO - Epoch(train) [162][1879/1879] lr: 1.0000e-04 eta: 21:13:28 time: 0.4432 data_time: 0.0178 memory: 17087 grad_norm: 6.8823 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9348 loss: 0.9348 2022/08/04 22:35:06 - mmengine - INFO - Epoch(train) [163][20/1879] lr: 1.0000e-04 eta: 21:13:08 time: 0.5684 data_time: 0.0873 memory: 17087 grad_norm: 6.8841 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9851 loss: 0.9851 2022/08/04 22:35:15 - mmengine - INFO - Epoch(train) [163][40/1879] lr: 1.0000e-04 eta: 21:12:59 time: 0.4296 data_time: 0.0147 memory: 17087 grad_norm: 6.6241 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8526 loss: 0.8526 2022/08/04 22:35:24 - mmengine - INFO - Epoch(train) [163][60/1879] lr: 1.0000e-04 eta: 21:12:51 time: 0.4391 data_time: 0.0209 memory: 17087 grad_norm: 6.7114 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8077 loss: 0.8077 2022/08/04 22:35:32 - mmengine - INFO - Epoch(train) [163][80/1879] lr: 1.0000e-04 eta: 21:12:42 time: 0.4286 data_time: 0.0161 memory: 17087 grad_norm: 6.8565 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9050 loss: 0.9050 2022/08/04 22:35:41 - mmengine - INFO - Epoch(train) [163][100/1879] lr: 1.0000e-04 eta: 21:12:34 time: 0.4373 data_time: 0.0146 memory: 17087 grad_norm: 6.7949 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9923 loss: 0.9923 2022/08/04 22:35:50 - mmengine - INFO - Epoch(train) [163][120/1879] lr: 1.0000e-04 eta: 21:12:25 time: 0.4284 data_time: 0.0155 memory: 17087 grad_norm: 6.9397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8635 loss: 0.8635 2022/08/04 22:35:58 - mmengine - INFO - Epoch(train) [163][140/1879] lr: 1.0000e-04 eta: 21:12:16 time: 0.4304 data_time: 0.0158 memory: 17087 grad_norm: 6.5664 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8955 loss: 0.8955 2022/08/04 22:36:07 - mmengine - INFO - Epoch(train) [163][160/1879] lr: 1.0000e-04 eta: 21:12:08 time: 0.4387 data_time: 0.0185 memory: 17087 grad_norm: 6.6742 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7920 loss: 0.7920 2022/08/04 22:36:16 - mmengine - INFO - Epoch(train) [163][180/1879] lr: 1.0000e-04 eta: 21:11:59 time: 0.4286 data_time: 0.0134 memory: 17087 grad_norm: 6.7624 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8402 loss: 0.8402 2022/08/04 22:36:24 - mmengine - INFO - Epoch(train) [163][200/1879] lr: 1.0000e-04 eta: 21:11:50 time: 0.4328 data_time: 0.0177 memory: 17087 grad_norm: 6.7781 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8964 loss: 0.8964 2022/08/04 22:36:33 - mmengine - INFO - Epoch(train) [163][220/1879] lr: 1.0000e-04 eta: 21:11:42 time: 0.4296 data_time: 0.0147 memory: 17087 grad_norm: 6.6819 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.6769 loss: 0.6769 2022/08/04 22:36:42 - mmengine - INFO - Epoch(train) [163][240/1879] lr: 1.0000e-04 eta: 21:11:33 time: 0.4333 data_time: 0.0165 memory: 17087 grad_norm: 6.9939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7580 loss: 0.7580 2022/08/04 22:36:50 - mmengine - INFO - Epoch(train) [163][260/1879] lr: 1.0000e-04 eta: 21:11:24 time: 0.4330 data_time: 0.0144 memory: 17087 grad_norm: 7.0133 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8748 loss: 0.8748 2022/08/04 22:36:59 - mmengine - INFO - Epoch(train) [163][280/1879] lr: 1.0000e-04 eta: 21:11:16 time: 0.4462 data_time: 0.0167 memory: 17087 grad_norm: 6.9046 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8040 loss: 0.8040 2022/08/04 22:37:08 - mmengine - INFO - Epoch(train) [163][300/1879] lr: 1.0000e-04 eta: 21:11:07 time: 0.4285 data_time: 0.0147 memory: 17087 grad_norm: 6.6091 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7511 loss: 0.7511 2022/08/04 22:37:17 - mmengine - INFO - Epoch(train) [163][320/1879] lr: 1.0000e-04 eta: 21:10:59 time: 0.4501 data_time: 0.0177 memory: 17087 grad_norm: 6.7034 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8473 loss: 0.8473 2022/08/04 22:37:25 - mmengine - INFO - Epoch(train) [163][340/1879] lr: 1.0000e-04 eta: 21:10:50 time: 0.4320 data_time: 0.0158 memory: 17087 grad_norm: 6.7465 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9601 loss: 0.9601 2022/08/04 22:37:34 - mmengine - INFO - Epoch(train) [163][360/1879] lr: 1.0000e-04 eta: 21:10:42 time: 0.4475 data_time: 0.0163 memory: 17087 grad_norm: 6.9192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7982 loss: 0.7982 2022/08/04 22:37:43 - mmengine - INFO - Epoch(train) [163][380/1879] lr: 1.0000e-04 eta: 21:10:33 time: 0.4285 data_time: 0.0153 memory: 17087 grad_norm: 6.6664 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6930 loss: 0.6930 2022/08/04 22:37:52 - mmengine - INFO - Epoch(train) [163][400/1879] lr: 1.0000e-04 eta: 21:10:24 time: 0.4325 data_time: 0.0143 memory: 17087 grad_norm: 6.8802 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8658 loss: 0.8658 2022/08/04 22:38:00 - mmengine - INFO - Epoch(train) [163][420/1879] lr: 1.0000e-04 eta: 21:10:16 time: 0.4273 data_time: 0.0144 memory: 17087 grad_norm: 6.8149 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7807 loss: 0.7807 2022/08/04 22:38:09 - mmengine - INFO - Epoch(train) [163][440/1879] lr: 1.0000e-04 eta: 21:10:07 time: 0.4306 data_time: 0.0148 memory: 17087 grad_norm: 6.5827 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6442 loss: 0.6442 2022/08/04 22:38:18 - mmengine - INFO - Epoch(train) [163][460/1879] lr: 1.0000e-04 eta: 21:09:58 time: 0.4342 data_time: 0.0154 memory: 17087 grad_norm: 6.5658 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7587 loss: 0.7587 2022/08/04 22:38:26 - mmengine - INFO - Epoch(train) [163][480/1879] lr: 1.0000e-04 eta: 21:09:49 time: 0.4284 data_time: 0.0168 memory: 17087 grad_norm: 6.9622 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9111 loss: 0.9111 2022/08/04 22:38:35 - mmengine - INFO - Epoch(train) [163][500/1879] lr: 1.0000e-04 eta: 21:09:41 time: 0.4305 data_time: 0.0144 memory: 17087 grad_norm: 6.7937 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9647 loss: 0.9647 2022/08/04 22:38:43 - mmengine - INFO - Epoch(train) [163][520/1879] lr: 1.0000e-04 eta: 21:09:32 time: 0.4317 data_time: 0.0165 memory: 17087 grad_norm: 6.9183 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9617 loss: 0.9617 2022/08/04 22:38:53 - mmengine - INFO - Epoch(train) [163][540/1879] lr: 1.0000e-04 eta: 21:09:24 time: 0.4550 data_time: 0.0160 memory: 17087 grad_norm: 6.5281 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8328 loss: 0.8328 2022/08/04 22:39:01 - mmengine - INFO - Epoch(train) [163][560/1879] lr: 1.0000e-04 eta: 21:09:15 time: 0.4278 data_time: 0.0161 memory: 17087 grad_norm: 6.8962 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0950 loss: 1.0950 2022/08/04 22:39:10 - mmengine - INFO - Epoch(train) [163][580/1879] lr: 1.0000e-04 eta: 21:09:06 time: 0.4327 data_time: 0.0148 memory: 17087 grad_norm: 6.8244 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7583 loss: 0.7583 2022/08/04 22:39:18 - mmengine - INFO - Epoch(train) [163][600/1879] lr: 1.0000e-04 eta: 21:08:58 time: 0.4313 data_time: 0.0172 memory: 17087 grad_norm: 6.7461 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8195 loss: 0.8195 2022/08/04 22:39:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 22:39:27 - mmengine - INFO - Epoch(train) [163][620/1879] lr: 1.0000e-04 eta: 21:08:49 time: 0.4283 data_time: 0.0170 memory: 17087 grad_norm: 6.7897 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7733 loss: 0.7733 2022/08/04 22:39:36 - mmengine - INFO - Epoch(train) [163][640/1879] lr: 1.0000e-04 eta: 21:08:40 time: 0.4344 data_time: 0.0164 memory: 17087 grad_norm: 6.7589 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7814 loss: 0.7814 2022/08/04 22:39:44 - mmengine - INFO - Epoch(train) [163][660/1879] lr: 1.0000e-04 eta: 21:08:32 time: 0.4324 data_time: 0.0136 memory: 17087 grad_norm: 6.6425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7851 loss: 0.7851 2022/08/04 22:39:53 - mmengine - INFO - Epoch(train) [163][680/1879] lr: 1.0000e-04 eta: 21:08:23 time: 0.4518 data_time: 0.0170 memory: 17087 grad_norm: 6.7085 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8588 loss: 0.8588 2022/08/04 22:40:02 - mmengine - INFO - Epoch(train) [163][700/1879] lr: 1.0000e-04 eta: 21:08:15 time: 0.4337 data_time: 0.0161 memory: 17087 grad_norm: 6.4226 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6914 loss: 0.6914 2022/08/04 22:40:11 - mmengine - INFO - Epoch(train) [163][720/1879] lr: 1.0000e-04 eta: 21:08:06 time: 0.4423 data_time: 0.0160 memory: 17087 grad_norm: 6.6532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7939 loss: 0.7939 2022/08/04 22:40:20 - mmengine - INFO - Epoch(train) [163][740/1879] lr: 1.0000e-04 eta: 21:07:58 time: 0.4317 data_time: 0.0155 memory: 17087 grad_norm: 6.6531 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8408 loss: 0.8408 2022/08/04 22:40:28 - mmengine - INFO - Epoch(train) [163][760/1879] lr: 1.0000e-04 eta: 21:07:49 time: 0.4306 data_time: 0.0149 memory: 17087 grad_norm: 6.7322 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8115 loss: 0.8115 2022/08/04 22:40:37 - mmengine - INFO - Epoch(train) [163][780/1879] lr: 1.0000e-04 eta: 21:07:40 time: 0.4285 data_time: 0.0146 memory: 17087 grad_norm: 6.7296 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9198 loss: 0.9198 2022/08/04 22:40:46 - mmengine - INFO - Epoch(train) [163][800/1879] lr: 1.0000e-04 eta: 21:07:32 time: 0.4523 data_time: 0.0171 memory: 17087 grad_norm: 6.6374 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8633 loss: 0.8633 2022/08/04 22:40:55 - mmengine - INFO - Epoch(train) [163][820/1879] lr: 1.0000e-04 eta: 21:07:23 time: 0.4279 data_time: 0.0138 memory: 17087 grad_norm: 6.6347 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7733 loss: 0.7733 2022/08/04 22:41:03 - mmengine - INFO - Epoch(train) [163][840/1879] lr: 1.0000e-04 eta: 21:07:14 time: 0.4417 data_time: 0.0218 memory: 17087 grad_norm: 7.0208 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9019 loss: 0.9019 2022/08/04 22:41:12 - mmengine - INFO - Epoch(train) [163][860/1879] lr: 1.0000e-04 eta: 21:07:06 time: 0.4299 data_time: 0.0162 memory: 17087 grad_norm: 6.7208 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8304 loss: 0.8304 2022/08/04 22:41:21 - mmengine - INFO - Epoch(train) [163][880/1879] lr: 1.0000e-04 eta: 21:06:57 time: 0.4556 data_time: 0.0211 memory: 17087 grad_norm: 6.7090 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8453 loss: 0.8453 2022/08/04 22:41:30 - mmengine - INFO - Epoch(train) [163][900/1879] lr: 1.0000e-04 eta: 21:06:49 time: 0.4289 data_time: 0.0151 memory: 17087 grad_norm: 6.6278 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7748 loss: 0.7748 2022/08/04 22:41:38 - mmengine - INFO - Epoch(train) [163][920/1879] lr: 1.0000e-04 eta: 21:06:40 time: 0.4292 data_time: 0.0156 memory: 17087 grad_norm: 6.5663 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7702 loss: 0.7702 2022/08/04 22:41:47 - mmengine - INFO - Epoch(train) [163][940/1879] lr: 1.0000e-04 eta: 21:06:31 time: 0.4332 data_time: 0.0154 memory: 17087 grad_norm: 6.7258 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8393 loss: 0.8393 2022/08/04 22:41:56 - mmengine - INFO - Epoch(train) [163][960/1879] lr: 1.0000e-04 eta: 21:06:23 time: 0.4417 data_time: 0.0177 memory: 17087 grad_norm: 6.9006 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7776 loss: 0.7776 2022/08/04 22:42:05 - mmengine - INFO - Epoch(train) [163][980/1879] lr: 1.0000e-04 eta: 21:06:14 time: 0.4434 data_time: 0.0136 memory: 17087 grad_norm: 6.7314 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7063 loss: 0.7063 2022/08/04 22:42:14 - mmengine - INFO - Epoch(train) [163][1000/1879] lr: 1.0000e-04 eta: 21:06:06 time: 0.4552 data_time: 0.0233 memory: 17087 grad_norm: 6.6414 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8821 loss: 0.8821 2022/08/04 22:42:23 - mmengine - INFO - Epoch(train) [163][1020/1879] lr: 1.0000e-04 eta: 21:05:57 time: 0.4327 data_time: 0.0180 memory: 17087 grad_norm: 6.7157 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8585 loss: 0.8585 2022/08/04 22:42:32 - mmengine - INFO - Epoch(train) [163][1040/1879] lr: 1.0000e-04 eta: 21:05:49 time: 0.4491 data_time: 0.0176 memory: 17087 grad_norm: 6.9167 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9319 loss: 0.9319 2022/08/04 22:42:40 - mmengine - INFO - Epoch(train) [163][1060/1879] lr: 1.0000e-04 eta: 21:05:40 time: 0.4290 data_time: 0.0163 memory: 17087 grad_norm: 6.8752 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0036 loss: 1.0036 2022/08/04 22:42:49 - mmengine - INFO - Epoch(train) [163][1080/1879] lr: 1.0000e-04 eta: 21:05:31 time: 0.4337 data_time: 0.0220 memory: 17087 grad_norm: 6.8588 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7725 loss: 0.7725 2022/08/04 22:42:58 - mmengine - INFO - Epoch(train) [163][1100/1879] lr: 1.0000e-04 eta: 21:05:23 time: 0.4472 data_time: 0.0158 memory: 17087 grad_norm: 6.8066 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8288 loss: 0.8288 2022/08/04 22:43:06 - mmengine - INFO - Epoch(train) [163][1120/1879] lr: 1.0000e-04 eta: 21:05:14 time: 0.4295 data_time: 0.0152 memory: 17087 grad_norm: 6.3458 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7214 loss: 0.7214 2022/08/04 22:43:15 - mmengine - INFO - Epoch(train) [163][1140/1879] lr: 1.0000e-04 eta: 21:05:06 time: 0.4323 data_time: 0.0148 memory: 17087 grad_norm: 6.7829 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9185 loss: 0.9185 2022/08/04 22:43:24 - mmengine - INFO - Epoch(train) [163][1160/1879] lr: 1.0000e-04 eta: 21:04:57 time: 0.4304 data_time: 0.0156 memory: 17087 grad_norm: 6.5869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8659 loss: 0.8659 2022/08/04 22:43:33 - mmengine - INFO - Epoch(train) [163][1180/1879] lr: 1.0000e-04 eta: 21:04:48 time: 0.4386 data_time: 0.0153 memory: 17087 grad_norm: 6.6798 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9417 loss: 0.9417 2022/08/04 22:43:41 - mmengine - INFO - Epoch(train) [163][1200/1879] lr: 1.0000e-04 eta: 21:04:40 time: 0.4292 data_time: 0.0169 memory: 17087 grad_norm: 6.8975 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9730 loss: 0.9730 2022/08/04 22:43:50 - mmengine - INFO - Epoch(train) [163][1220/1879] lr: 1.0000e-04 eta: 21:04:31 time: 0.4292 data_time: 0.0191 memory: 17087 grad_norm: 6.7139 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8782 loss: 0.8782 2022/08/04 22:43:58 - mmengine - INFO - Epoch(train) [163][1240/1879] lr: 1.0000e-04 eta: 21:04:22 time: 0.4292 data_time: 0.0166 memory: 17087 grad_norm: 6.5209 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7992 loss: 0.7992 2022/08/04 22:44:07 - mmengine - INFO - Epoch(train) [163][1260/1879] lr: 1.0000e-04 eta: 21:04:14 time: 0.4498 data_time: 0.0142 memory: 17087 grad_norm: 6.8826 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9564 loss: 0.9564 2022/08/04 22:44:16 - mmengine - INFO - Epoch(train) [163][1280/1879] lr: 1.0000e-04 eta: 21:04:05 time: 0.4298 data_time: 0.0171 memory: 17087 grad_norm: 6.4500 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7819 loss: 0.7819 2022/08/04 22:44:25 - mmengine - INFO - Epoch(train) [163][1300/1879] lr: 1.0000e-04 eta: 21:03:57 time: 0.4300 data_time: 0.0146 memory: 17087 grad_norm: 6.6271 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7963 loss: 0.7963 2022/08/04 22:44:33 - mmengine - INFO - Epoch(train) [163][1320/1879] lr: 1.0000e-04 eta: 21:03:48 time: 0.4330 data_time: 0.0179 memory: 17087 grad_norm: 6.5073 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8649 loss: 0.8649 2022/08/04 22:44:42 - mmengine - INFO - Epoch(train) [163][1340/1879] lr: 1.0000e-04 eta: 21:03:39 time: 0.4286 data_time: 0.0143 memory: 17087 grad_norm: 6.7087 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8868 loss: 0.8868 2022/08/04 22:44:51 - mmengine - INFO - Epoch(train) [163][1360/1879] lr: 1.0000e-04 eta: 21:03:31 time: 0.4441 data_time: 0.0162 memory: 17087 grad_norm: 6.5859 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0047 loss: 1.0047 2022/08/04 22:44:59 - mmengine - INFO - Epoch(train) [163][1380/1879] lr: 1.0000e-04 eta: 21:03:22 time: 0.4304 data_time: 0.0157 memory: 17087 grad_norm: 6.5839 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7257 loss: 0.7257 2022/08/04 22:45:08 - mmengine - INFO - Epoch(train) [163][1400/1879] lr: 1.0000e-04 eta: 21:03:13 time: 0.4311 data_time: 0.0151 memory: 17087 grad_norm: 6.8578 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0213 loss: 1.0213 2022/08/04 22:45:17 - mmengine - INFO - Epoch(train) [163][1420/1879] lr: 1.0000e-04 eta: 21:03:05 time: 0.4503 data_time: 0.0169 memory: 17087 grad_norm: 6.6936 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9624 loss: 0.9624 2022/08/04 22:45:26 - mmengine - INFO - Epoch(train) [163][1440/1879] lr: 1.0000e-04 eta: 21:02:56 time: 0.4318 data_time: 0.0149 memory: 17087 grad_norm: 6.7863 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0022 loss: 1.0022 2022/08/04 22:45:35 - mmengine - INFO - Epoch(train) [163][1460/1879] lr: 1.0000e-04 eta: 21:02:48 time: 0.4460 data_time: 0.0158 memory: 17087 grad_norm: 6.9533 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0807 loss: 1.0807 2022/08/04 22:45:43 - mmengine - INFO - Epoch(train) [163][1480/1879] lr: 1.0000e-04 eta: 21:02:39 time: 0.4339 data_time: 0.0207 memory: 17087 grad_norm: 6.7889 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0016 loss: 1.0016 2022/08/04 22:45:52 - mmengine - INFO - Epoch(train) [163][1500/1879] lr: 1.0000e-04 eta: 21:02:31 time: 0.4406 data_time: 0.0167 memory: 17087 grad_norm: 6.7284 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8692 loss: 0.8692 2022/08/04 22:46:01 - mmengine - INFO - Epoch(train) [163][1520/1879] lr: 1.0000e-04 eta: 21:02:22 time: 0.4318 data_time: 0.0172 memory: 17087 grad_norm: 6.5737 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6643 loss: 0.6643 2022/08/04 22:46:09 - mmengine - INFO - Epoch(train) [163][1540/1879] lr: 1.0000e-04 eta: 21:02:13 time: 0.4291 data_time: 0.0147 memory: 17087 grad_norm: 6.5311 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8267 loss: 0.8267 2022/08/04 22:46:19 - mmengine - INFO - Epoch(train) [163][1560/1879] lr: 1.0000e-04 eta: 21:02:05 time: 0.4620 data_time: 0.0171 memory: 17087 grad_norm: 6.7127 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9075 loss: 0.9075 2022/08/04 22:46:27 - mmengine - INFO - Epoch(train) [163][1580/1879] lr: 1.0000e-04 eta: 21:01:56 time: 0.4344 data_time: 0.0192 memory: 17087 grad_norm: 6.7816 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7656 loss: 0.7656 2022/08/04 22:46:36 - mmengine - INFO - Epoch(train) [163][1600/1879] lr: 1.0000e-04 eta: 21:01:48 time: 0.4308 data_time: 0.0165 memory: 17087 grad_norm: 6.7941 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8732 loss: 0.8732 2022/08/04 22:46:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 22:46:45 - mmengine - INFO - Epoch(train) [163][1620/1879] lr: 1.0000e-04 eta: 21:01:39 time: 0.4307 data_time: 0.0168 memory: 17087 grad_norm: 6.5644 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7419 loss: 0.7419 2022/08/04 22:46:54 - mmengine - INFO - Epoch(train) [163][1640/1879] lr: 1.0000e-04 eta: 21:01:30 time: 0.4555 data_time: 0.0183 memory: 17087 grad_norm: 6.7241 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7828 loss: 0.7828 2022/08/04 22:47:02 - mmengine - INFO - Epoch(train) [163][1660/1879] lr: 1.0000e-04 eta: 21:01:22 time: 0.4305 data_time: 0.0149 memory: 17087 grad_norm: 6.9870 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8276 loss: 0.8276 2022/08/04 22:47:11 - mmengine - INFO - Epoch(train) [163][1680/1879] lr: 1.0000e-04 eta: 21:01:13 time: 0.4403 data_time: 0.0218 memory: 17087 grad_norm: 6.7378 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8204 loss: 0.8204 2022/08/04 22:47:20 - mmengine - INFO - Epoch(train) [163][1700/1879] lr: 1.0000e-04 eta: 21:01:05 time: 0.4289 data_time: 0.0146 memory: 17087 grad_norm: 6.6844 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9163 loss: 0.9163 2022/08/04 22:47:28 - mmengine - INFO - Epoch(train) [163][1720/1879] lr: 1.0000e-04 eta: 21:00:56 time: 0.4297 data_time: 0.0156 memory: 17087 grad_norm: 6.6141 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7893 loss: 0.7893 2022/08/04 22:47:38 - mmengine - INFO - Epoch(train) [163][1740/1879] lr: 1.0000e-04 eta: 21:00:48 time: 0.4623 data_time: 0.0158 memory: 17087 grad_norm: 6.8665 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9056 loss: 0.9056 2022/08/04 22:47:46 - mmengine - INFO - Epoch(train) [163][1760/1879] lr: 1.0000e-04 eta: 21:00:39 time: 0.4313 data_time: 0.0157 memory: 17087 grad_norm: 6.6050 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7996 loss: 0.7996 2022/08/04 22:47:55 - mmengine - INFO - Epoch(train) [163][1780/1879] lr: 1.0000e-04 eta: 21:00:30 time: 0.4411 data_time: 0.0208 memory: 17087 grad_norm: 7.0835 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9137 loss: 0.9137 2022/08/04 22:48:04 - mmengine - INFO - Epoch(train) [163][1800/1879] lr: 1.0000e-04 eta: 21:00:22 time: 0.4301 data_time: 0.0164 memory: 17087 grad_norm: 6.8889 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8857 loss: 0.8857 2022/08/04 22:48:13 - mmengine - INFO - Epoch(train) [163][1820/1879] lr: 1.0000e-04 eta: 21:00:13 time: 0.4451 data_time: 0.0166 memory: 17087 grad_norm: 6.7247 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8660 loss: 0.8660 2022/08/04 22:48:21 - mmengine - INFO - Epoch(train) [163][1840/1879] lr: 1.0000e-04 eta: 21:00:04 time: 0.4304 data_time: 0.0155 memory: 17087 grad_norm: 6.9189 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0018 loss: 1.0018 2022/08/04 22:48:30 - mmengine - INFO - Epoch(train) [163][1860/1879] lr: 1.0000e-04 eta: 20:59:56 time: 0.4300 data_time: 0.0156 memory: 17087 grad_norm: 6.6869 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8002 loss: 0.8002 2022/08/04 22:48:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 22:48:38 - mmengine - INFO - Epoch(train) [163][1879/1879] lr: 1.0000e-04 eta: 20:59:56 time: 0.4201 data_time: 0.0162 memory: 17087 grad_norm: 6.6668 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9316 loss: 0.9316 2022/08/04 22:48:49 - mmengine - INFO - Epoch(train) [164][20/1879] lr: 1.0000e-04 eta: 20:59:36 time: 0.5615 data_time: 0.1380 memory: 17087 grad_norm: 6.7942 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7315 loss: 0.7315 2022/08/04 22:48:58 - mmengine - INFO - Epoch(train) [164][40/1879] lr: 1.0000e-04 eta: 20:59:27 time: 0.4565 data_time: 0.0191 memory: 17087 grad_norm: 6.8360 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9954 loss: 0.9954 2022/08/04 22:49:07 - mmengine - INFO - Epoch(train) [164][60/1879] lr: 1.0000e-04 eta: 20:59:19 time: 0.4310 data_time: 0.0150 memory: 17087 grad_norm: 6.7725 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7884 loss: 0.7884 2022/08/04 22:49:16 - mmengine - INFO - Epoch(train) [164][80/1879] lr: 1.0000e-04 eta: 20:59:10 time: 0.4557 data_time: 0.0206 memory: 17087 grad_norm: 6.7539 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9403 loss: 0.9403 2022/08/04 22:49:25 - mmengine - INFO - Epoch(train) [164][100/1879] lr: 1.0000e-04 eta: 20:59:02 time: 0.4330 data_time: 0.0155 memory: 17087 grad_norm: 6.5395 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9781 loss: 0.9781 2022/08/04 22:49:33 - mmengine - INFO - Epoch(train) [164][120/1879] lr: 1.0000e-04 eta: 20:58:53 time: 0.4276 data_time: 0.0171 memory: 17087 grad_norm: 6.9110 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8339 loss: 0.8339 2022/08/04 22:49:42 - mmengine - INFO - Epoch(train) [164][140/1879] lr: 1.0000e-04 eta: 20:58:44 time: 0.4388 data_time: 0.0204 memory: 17087 grad_norm: 6.9181 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1032 loss: 1.1032 2022/08/04 22:49:51 - mmengine - INFO - Epoch(train) [164][160/1879] lr: 1.0000e-04 eta: 20:58:36 time: 0.4292 data_time: 0.0159 memory: 17087 grad_norm: 6.6600 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8828 loss: 0.8828 2022/08/04 22:49:59 - mmengine - INFO - Epoch(train) [164][180/1879] lr: 1.0000e-04 eta: 20:58:27 time: 0.4305 data_time: 0.0163 memory: 17087 grad_norm: 6.8537 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9537 loss: 0.9537 2022/08/04 22:50:08 - mmengine - INFO - Epoch(train) [164][200/1879] lr: 1.0000e-04 eta: 20:58:18 time: 0.4303 data_time: 0.0146 memory: 17087 grad_norm: 6.8028 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8811 loss: 0.8811 2022/08/04 22:50:17 - mmengine - INFO - Epoch(train) [164][220/1879] lr: 1.0000e-04 eta: 20:58:10 time: 0.4301 data_time: 0.0153 memory: 17087 grad_norm: 6.7668 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9947 loss: 0.9947 2022/08/04 22:50:26 - mmengine - INFO - Epoch(train) [164][240/1879] lr: 1.0000e-04 eta: 20:58:01 time: 0.4420 data_time: 0.0209 memory: 17087 grad_norm: 7.0904 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0085 loss: 1.0085 2022/08/04 22:50:34 - mmengine - INFO - Epoch(train) [164][260/1879] lr: 1.0000e-04 eta: 20:57:52 time: 0.4297 data_time: 0.0159 memory: 17087 grad_norm: 6.9411 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8086 loss: 0.8086 2022/08/04 22:50:43 - mmengine - INFO - Epoch(train) [164][280/1879] lr: 1.0000e-04 eta: 20:57:44 time: 0.4587 data_time: 0.0225 memory: 17087 grad_norm: 6.6276 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9371 loss: 0.9371 2022/08/04 22:50:52 - mmengine - INFO - Epoch(train) [164][300/1879] lr: 1.0000e-04 eta: 20:57:35 time: 0.4282 data_time: 0.0149 memory: 17087 grad_norm: 7.0835 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7491 loss: 0.7491 2022/08/04 22:51:01 - mmengine - INFO - Epoch(train) [164][320/1879] lr: 1.0000e-04 eta: 20:57:27 time: 0.4339 data_time: 0.0203 memory: 17087 grad_norm: 6.5039 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.7614 loss: 0.7614 2022/08/04 22:51:09 - mmengine - INFO - Epoch(train) [164][340/1879] lr: 1.0000e-04 eta: 20:57:18 time: 0.4326 data_time: 0.0160 memory: 17087 grad_norm: 6.8320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8651 loss: 0.8651 2022/08/04 22:51:18 - mmengine - INFO - Epoch(train) [164][360/1879] lr: 1.0000e-04 eta: 20:57:09 time: 0.4286 data_time: 0.0155 memory: 17087 grad_norm: 6.9439 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8213 loss: 0.8213 2022/08/04 22:51:27 - mmengine - INFO - Epoch(train) [164][380/1879] lr: 1.0000e-04 eta: 20:57:01 time: 0.4347 data_time: 0.0156 memory: 17087 grad_norm: 6.7024 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8991 loss: 0.8991 2022/08/04 22:51:35 - mmengine - INFO - Epoch(train) [164][400/1879] lr: 1.0000e-04 eta: 20:56:52 time: 0.4301 data_time: 0.0159 memory: 17087 grad_norm: 6.9246 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8271 loss: 0.8271 2022/08/04 22:51:44 - mmengine - INFO - Epoch(train) [164][420/1879] lr: 1.0000e-04 eta: 20:56:44 time: 0.4460 data_time: 0.0155 memory: 17087 grad_norm: 6.6681 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8270 loss: 0.8270 2022/08/04 22:51:53 - mmengine - INFO - Epoch(train) [164][440/1879] lr: 1.0000e-04 eta: 20:56:35 time: 0.4366 data_time: 0.0228 memory: 17087 grad_norm: 6.5962 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9440 loss: 0.9440 2022/08/04 22:52:02 - mmengine - INFO - Epoch(train) [164][460/1879] lr: 1.0000e-04 eta: 20:56:27 time: 0.4519 data_time: 0.0157 memory: 17087 grad_norm: 6.8169 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9165 loss: 0.9165 2022/08/04 22:52:11 - mmengine - INFO - Epoch(train) [164][480/1879] lr: 1.0000e-04 eta: 20:56:18 time: 0.4299 data_time: 0.0156 memory: 17087 grad_norm: 6.6977 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8066 loss: 0.8066 2022/08/04 22:52:19 - mmengine - INFO - Epoch(train) [164][500/1879] lr: 1.0000e-04 eta: 20:56:09 time: 0.4323 data_time: 0.0183 memory: 17087 grad_norm: 6.4232 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8546 loss: 0.8546 2022/08/04 22:52:28 - mmengine - INFO - Epoch(train) [164][520/1879] lr: 1.0000e-04 eta: 20:56:01 time: 0.4324 data_time: 0.0172 memory: 17087 grad_norm: 6.7987 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0189 loss: 1.0189 2022/08/04 22:52:37 - mmengine - INFO - Epoch(train) [164][540/1879] lr: 1.0000e-04 eta: 20:55:52 time: 0.4304 data_time: 0.0147 memory: 17087 grad_norm: 6.4816 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8503 loss: 0.8503 2022/08/04 22:52:46 - mmengine - INFO - Epoch(train) [164][560/1879] lr: 1.0000e-04 eta: 20:55:43 time: 0.4520 data_time: 0.0169 memory: 17087 grad_norm: 6.8457 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8634 loss: 0.8634 2022/08/04 22:52:54 - mmengine - INFO - Epoch(train) [164][580/1879] lr: 1.0000e-04 eta: 20:55:35 time: 0.4335 data_time: 0.0205 memory: 17087 grad_norm: 6.7066 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9006 loss: 0.9006 2022/08/04 22:53:03 - mmengine - INFO - Epoch(train) [164][600/1879] lr: 1.0000e-04 eta: 20:55:26 time: 0.4314 data_time: 0.0167 memory: 17087 grad_norm: 6.7935 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7147 loss: 0.7147 2022/08/04 22:53:12 - mmengine - INFO - Epoch(train) [164][620/1879] lr: 1.0000e-04 eta: 20:55:17 time: 0.4300 data_time: 0.0160 memory: 17087 grad_norm: 6.8932 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9597 loss: 0.9597 2022/08/04 22:53:20 - mmengine - INFO - Epoch(train) [164][640/1879] lr: 1.0000e-04 eta: 20:55:09 time: 0.4293 data_time: 0.0159 memory: 17087 grad_norm: 6.6752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7113 loss: 0.7113 2022/08/04 22:53:29 - mmengine - INFO - Epoch(train) [164][660/1879] lr: 1.0000e-04 eta: 20:55:00 time: 0.4329 data_time: 0.0141 memory: 17087 grad_norm: 6.7589 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7532 loss: 0.7532 2022/08/04 22:53:38 - mmengine - INFO - Epoch(train) [164][680/1879] lr: 1.0000e-04 eta: 20:54:52 time: 0.4371 data_time: 0.0229 memory: 17087 grad_norm: 6.5697 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9246 loss: 0.9246 2022/08/04 22:53:46 - mmengine - INFO - Epoch(train) [164][700/1879] lr: 1.0000e-04 eta: 20:54:43 time: 0.4354 data_time: 0.0155 memory: 17087 grad_norm: 6.6634 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7598 loss: 0.7598 2022/08/04 22:53:55 - mmengine - INFO - Epoch(train) [164][720/1879] lr: 1.0000e-04 eta: 20:54:34 time: 0.4458 data_time: 0.0170 memory: 17087 grad_norm: 6.8980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9199 loss: 0.9199 2022/08/04 22:53:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 22:54:04 - mmengine - INFO - Epoch(train) [164][740/1879] lr: 1.0000e-04 eta: 20:54:26 time: 0.4331 data_time: 0.0146 memory: 17087 grad_norm: 6.8761 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.1437 loss: 1.1437 2022/08/04 22:54:13 - mmengine - INFO - Epoch(train) [164][760/1879] lr: 1.0000e-04 eta: 20:54:17 time: 0.4500 data_time: 0.0193 memory: 17087 grad_norm: 6.7944 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9616 loss: 0.9616 2022/08/04 22:54:22 - mmengine - INFO - Epoch(train) [164][780/1879] lr: 1.0000e-04 eta: 20:54:09 time: 0.4347 data_time: 0.0147 memory: 17087 grad_norm: 6.8133 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8969 loss: 0.8969 2022/08/04 22:54:30 - mmengine - INFO - Epoch(train) [164][800/1879] lr: 1.0000e-04 eta: 20:54:00 time: 0.4275 data_time: 0.0156 memory: 17087 grad_norm: 6.7268 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8388 loss: 0.8388 2022/08/04 22:54:39 - mmengine - INFO - Epoch(train) [164][820/1879] lr: 1.0000e-04 eta: 20:53:51 time: 0.4478 data_time: 0.0137 memory: 17087 grad_norm: 6.6879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9154 loss: 0.9154 2022/08/04 22:54:48 - mmengine - INFO - Epoch(train) [164][840/1879] lr: 1.0000e-04 eta: 20:53:43 time: 0.4353 data_time: 0.0169 memory: 17087 grad_norm: 6.6009 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9248 loss: 0.9248 2022/08/04 22:54:56 - mmengine - INFO - Epoch(train) [164][860/1879] lr: 1.0000e-04 eta: 20:53:34 time: 0.4291 data_time: 0.0161 memory: 17087 grad_norm: 6.8462 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9937 loss: 0.9937 2022/08/04 22:55:05 - mmengine - INFO - Epoch(train) [164][880/1879] lr: 1.0000e-04 eta: 20:53:25 time: 0.4303 data_time: 0.0154 memory: 17087 grad_norm: 6.6883 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9311 loss: 0.9311 2022/08/04 22:55:14 - mmengine - INFO - Epoch(train) [164][900/1879] lr: 1.0000e-04 eta: 20:53:17 time: 0.4291 data_time: 0.0162 memory: 17087 grad_norm: 6.5325 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7095 loss: 0.7095 2022/08/04 22:55:23 - mmengine - INFO - Epoch(train) [164][920/1879] lr: 1.0000e-04 eta: 20:53:08 time: 0.4435 data_time: 0.0167 memory: 17087 grad_norm: 6.4990 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7625 loss: 0.7625 2022/08/04 22:55:31 - mmengine - INFO - Epoch(train) [164][940/1879] lr: 1.0000e-04 eta: 20:53:00 time: 0.4339 data_time: 0.0158 memory: 17087 grad_norm: 6.9344 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8320 loss: 0.8320 2022/08/04 22:55:40 - mmengine - INFO - Epoch(train) [164][960/1879] lr: 1.0000e-04 eta: 20:52:51 time: 0.4301 data_time: 0.0169 memory: 17087 grad_norm: 6.7835 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8471 loss: 0.8471 2022/08/04 22:55:49 - mmengine - INFO - Epoch(train) [164][980/1879] lr: 1.0000e-04 eta: 20:52:42 time: 0.4475 data_time: 0.0144 memory: 17087 grad_norm: 6.8375 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9124 loss: 0.9124 2022/08/04 22:55:57 - mmengine - INFO - Epoch(train) [164][1000/1879] lr: 1.0000e-04 eta: 20:52:34 time: 0.4290 data_time: 0.0162 memory: 17087 grad_norm: 6.7268 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8589 loss: 0.8589 2022/08/04 22:56:07 - mmengine - INFO - Epoch(train) [164][1020/1879] lr: 1.0000e-04 eta: 20:52:25 time: 0.4506 data_time: 0.0159 memory: 17087 grad_norm: 6.7941 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7552 loss: 0.7552 2022/08/04 22:56:15 - mmengine - INFO - Epoch(train) [164][1040/1879] lr: 1.0000e-04 eta: 20:52:17 time: 0.4300 data_time: 0.0171 memory: 17087 grad_norm: 6.6981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7471 loss: 0.7471 2022/08/04 22:56:24 - mmengine - INFO - Epoch(train) [164][1060/1879] lr: 1.0000e-04 eta: 20:52:08 time: 0.4360 data_time: 0.0162 memory: 17087 grad_norm: 6.7990 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8397 loss: 0.8397 2022/08/04 22:56:32 - mmengine - INFO - Epoch(train) [164][1080/1879] lr: 1.0000e-04 eta: 20:51:59 time: 0.4287 data_time: 0.0161 memory: 17087 grad_norm: 6.7680 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0585 loss: 1.0585 2022/08/04 22:56:41 - mmengine - INFO - Epoch(train) [164][1100/1879] lr: 1.0000e-04 eta: 20:51:51 time: 0.4272 data_time: 0.0140 memory: 17087 grad_norm: 6.7646 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7480 loss: 0.7480 2022/08/04 22:56:50 - mmengine - INFO - Epoch(train) [164][1120/1879] lr: 1.0000e-04 eta: 20:51:42 time: 0.4335 data_time: 0.0168 memory: 17087 grad_norm: 6.7631 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0222 loss: 1.0222 2022/08/04 22:56:58 - mmengine - INFO - Epoch(train) [164][1140/1879] lr: 1.0000e-04 eta: 20:51:33 time: 0.4284 data_time: 0.0143 memory: 17087 grad_norm: 6.8622 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7414 loss: 0.7414 2022/08/04 22:57:07 - mmengine - INFO - Epoch(train) [164][1160/1879] lr: 1.0000e-04 eta: 20:51:25 time: 0.4489 data_time: 0.0167 memory: 17087 grad_norm: 6.6056 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7488 loss: 0.7488 2022/08/04 22:57:16 - mmengine - INFO - Epoch(train) [164][1180/1879] lr: 1.0000e-04 eta: 20:51:16 time: 0.4288 data_time: 0.0153 memory: 17087 grad_norm: 6.8141 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8417 loss: 0.8417 2022/08/04 22:57:25 - mmengine - INFO - Epoch(train) [164][1200/1879] lr: 1.0000e-04 eta: 20:51:08 time: 0.4362 data_time: 0.0171 memory: 17087 grad_norm: 6.9881 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8737 loss: 0.8737 2022/08/04 22:57:33 - mmengine - INFO - Epoch(train) [164][1220/1879] lr: 1.0000e-04 eta: 20:50:59 time: 0.4325 data_time: 0.0169 memory: 17087 grad_norm: 6.9595 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9640 loss: 0.9640 2022/08/04 22:57:42 - mmengine - INFO - Epoch(train) [164][1240/1879] lr: 1.0000e-04 eta: 20:50:50 time: 0.4278 data_time: 0.0150 memory: 17087 grad_norm: 6.6036 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7380 loss: 0.7380 2022/08/04 22:57:50 - mmengine - INFO - Epoch(train) [164][1260/1879] lr: 1.0000e-04 eta: 20:50:42 time: 0.4310 data_time: 0.0152 memory: 17087 grad_norm: 6.6125 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7941 loss: 0.7941 2022/08/04 22:58:00 - mmengine - INFO - Epoch(train) [164][1280/1879] lr: 1.0000e-04 eta: 20:50:33 time: 0.4623 data_time: 0.0175 memory: 17087 grad_norm: 6.6708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7290 loss: 0.7290 2022/08/04 22:58:08 - mmengine - INFO - Epoch(train) [164][1300/1879] lr: 1.0000e-04 eta: 20:50:25 time: 0.4288 data_time: 0.0147 memory: 17087 grad_norm: 6.6605 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8501 loss: 0.8501 2022/08/04 22:58:18 - mmengine - INFO - Epoch(train) [164][1320/1879] lr: 1.0000e-04 eta: 20:50:16 time: 0.4607 data_time: 0.0173 memory: 17087 grad_norm: 6.6816 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8787 loss: 0.8787 2022/08/04 22:58:26 - mmengine - INFO - Epoch(train) [164][1340/1879] lr: 1.0000e-04 eta: 20:50:07 time: 0.4290 data_time: 0.0154 memory: 17087 grad_norm: 6.7580 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9064 loss: 0.9064 2022/08/04 22:58:35 - mmengine - INFO - Epoch(train) [164][1360/1879] lr: 1.0000e-04 eta: 20:49:59 time: 0.4558 data_time: 0.0182 memory: 17087 grad_norm: 6.7433 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8999 loss: 0.8999 2022/08/04 22:58:44 - mmengine - INFO - Epoch(train) [164][1380/1879] lr: 1.0000e-04 eta: 20:49:50 time: 0.4285 data_time: 0.0153 memory: 17087 grad_norm: 6.6648 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9271 loss: 0.9271 2022/08/04 22:58:53 - mmengine - INFO - Epoch(train) [164][1400/1879] lr: 1.0000e-04 eta: 20:49:42 time: 0.4353 data_time: 0.0191 memory: 17087 grad_norm: 6.6415 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6073 loss: 0.6073 2022/08/04 22:59:01 - mmengine - INFO - Epoch(train) [164][1420/1879] lr: 1.0000e-04 eta: 20:49:33 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 6.7466 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8570 loss: 0.8570 2022/08/04 22:59:10 - mmengine - INFO - Epoch(train) [164][1440/1879] lr: 1.0000e-04 eta: 20:49:24 time: 0.4305 data_time: 0.0153 memory: 17087 grad_norm: 6.6244 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9338 loss: 0.9338 2022/08/04 22:59:19 - mmengine - INFO - Epoch(train) [164][1460/1879] lr: 1.0000e-04 eta: 20:49:16 time: 0.4310 data_time: 0.0168 memory: 17087 grad_norm: 6.7255 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0023 loss: 1.0023 2022/08/04 22:59:27 - mmengine - INFO - Epoch(train) [164][1480/1879] lr: 1.0000e-04 eta: 20:49:07 time: 0.4338 data_time: 0.0157 memory: 17087 grad_norm: 6.5701 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7780 loss: 0.7780 2022/08/04 22:59:36 - mmengine - INFO - Epoch(train) [164][1500/1879] lr: 1.0000e-04 eta: 20:48:59 time: 0.4383 data_time: 0.0167 memory: 17087 grad_norm: 6.5278 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7417 loss: 0.7417 2022/08/04 22:59:45 - mmengine - INFO - Epoch(train) [164][1520/1879] lr: 1.0000e-04 eta: 20:48:50 time: 0.4432 data_time: 0.0174 memory: 17087 grad_norm: 6.6875 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8055 loss: 0.8055 2022/08/04 22:59:54 - mmengine - INFO - Epoch(train) [164][1540/1879] lr: 1.0000e-04 eta: 20:48:41 time: 0.4331 data_time: 0.0158 memory: 17087 grad_norm: 6.3771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6960 loss: 0.6960 2022/08/04 23:00:02 - mmengine - INFO - Epoch(train) [164][1560/1879] lr: 1.0000e-04 eta: 20:48:33 time: 0.4287 data_time: 0.0155 memory: 17087 grad_norm: 6.5829 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7042 loss: 0.7042 2022/08/04 23:00:11 - mmengine - INFO - Epoch(train) [164][1580/1879] lr: 1.0000e-04 eta: 20:48:24 time: 0.4315 data_time: 0.0164 memory: 17087 grad_norm: 6.5576 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8537 loss: 0.8537 2022/08/04 23:00:20 - mmengine - INFO - Epoch(train) [164][1600/1879] lr: 1.0000e-04 eta: 20:48:15 time: 0.4287 data_time: 0.0155 memory: 17087 grad_norm: 6.6821 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8116 loss: 0.8116 2022/08/04 23:00:28 - mmengine - INFO - Epoch(train) [164][1620/1879] lr: 1.0000e-04 eta: 20:48:07 time: 0.4545 data_time: 0.0230 memory: 17087 grad_norm: 6.4570 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8118 loss: 0.8118 2022/08/04 23:00:37 - mmengine - INFO - Epoch(train) [164][1640/1879] lr: 1.0000e-04 eta: 20:47:58 time: 0.4333 data_time: 0.0197 memory: 17087 grad_norm: 6.9308 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7634 loss: 0.7634 2022/08/04 23:00:46 - mmengine - INFO - Epoch(train) [164][1660/1879] lr: 1.0000e-04 eta: 20:47:50 time: 0.4498 data_time: 0.0162 memory: 17087 grad_norm: 6.8531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8429 loss: 0.8429 2022/08/04 23:00:55 - mmengine - INFO - Epoch(train) [164][1680/1879] lr: 1.0000e-04 eta: 20:47:41 time: 0.4352 data_time: 0.0227 memory: 17087 grad_norm: 6.7816 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8307 loss: 0.8307 2022/08/04 23:01:04 - mmengine - INFO - Epoch(train) [164][1700/1879] lr: 1.0000e-04 eta: 20:47:33 time: 0.4323 data_time: 0.0162 memory: 17087 grad_norm: 6.7680 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8120 loss: 0.8120 2022/08/04 23:01:12 - mmengine - INFO - Epoch(train) [164][1720/1879] lr: 1.0000e-04 eta: 20:47:24 time: 0.4321 data_time: 0.0177 memory: 17087 grad_norm: 6.9734 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9381 loss: 0.9381 2022/08/04 23:01:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 23:01:21 - mmengine - INFO - Epoch(train) [164][1740/1879] lr: 1.0000e-04 eta: 20:47:15 time: 0.4314 data_time: 0.0189 memory: 17087 grad_norm: 6.6794 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8399 loss: 0.8399 2022/08/04 23:01:30 - mmengine - INFO - Epoch(train) [164][1760/1879] lr: 1.0000e-04 eta: 20:47:07 time: 0.4450 data_time: 0.0171 memory: 17087 grad_norm: 6.7902 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7418 loss: 0.7418 2022/08/04 23:01:38 - mmengine - INFO - Epoch(train) [164][1780/1879] lr: 1.0000e-04 eta: 20:46:58 time: 0.4306 data_time: 0.0154 memory: 17087 grad_norm: 6.4308 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7413 loss: 0.7413 2022/08/04 23:01:47 - mmengine - INFO - Epoch(train) [164][1800/1879] lr: 1.0000e-04 eta: 20:46:49 time: 0.4296 data_time: 0.0176 memory: 17087 grad_norm: 6.8293 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8833 loss: 0.8833 2022/08/04 23:01:56 - mmengine - INFO - Epoch(train) [164][1820/1879] lr: 1.0000e-04 eta: 20:46:41 time: 0.4513 data_time: 0.0166 memory: 17087 grad_norm: 6.7784 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8344 loss: 0.8344 2022/08/04 23:02:05 - mmengine - INFO - Epoch(train) [164][1840/1879] lr: 1.0000e-04 eta: 20:46:32 time: 0.4301 data_time: 0.0165 memory: 17087 grad_norm: 6.7202 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0351 loss: 1.0351 2022/08/04 23:02:13 - mmengine - INFO - Epoch(train) [164][1860/1879] lr: 1.0000e-04 eta: 20:46:24 time: 0.4321 data_time: 0.0157 memory: 17087 grad_norm: 6.5099 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8899 loss: 0.8899 2022/08/04 23:02:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 23:02:21 - mmengine - INFO - Epoch(train) [164][1879/1879] lr: 1.0000e-04 eta: 20:46:24 time: 0.4100 data_time: 0.0147 memory: 17087 grad_norm: 6.8478 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7981 loss: 0.7981 2022/08/04 23:02:21 - mmengine - INFO - Saving checkpoint at 164 epochs 2022/08/04 23:02:35 - mmengine - INFO - Epoch(train) [165][20/1879] lr: 1.0000e-04 eta: 20:46:03 time: 0.5151 data_time: 0.0964 memory: 17087 grad_norm: 6.7360 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7791 loss: 0.7791 2022/08/04 23:02:44 - mmengine - INFO - Epoch(train) [165][40/1879] lr: 1.0000e-04 eta: 20:45:54 time: 0.4321 data_time: 0.0210 memory: 17087 grad_norm: 6.5520 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7820 loss: 0.7820 2022/08/04 23:02:52 - mmengine - INFO - Epoch(train) [165][60/1879] lr: 1.0000e-04 eta: 20:45:46 time: 0.4305 data_time: 0.0144 memory: 17087 grad_norm: 6.5092 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8591 loss: 0.8591 2022/08/04 23:03:01 - mmengine - INFO - Epoch(train) [165][80/1879] lr: 1.0000e-04 eta: 20:45:37 time: 0.4309 data_time: 0.0186 memory: 17087 grad_norm: 6.5509 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8786 loss: 0.8786 2022/08/04 23:03:10 - mmengine - INFO - Epoch(train) [165][100/1879] lr: 1.0000e-04 eta: 20:45:28 time: 0.4277 data_time: 0.0144 memory: 17087 grad_norm: 6.6707 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8175 loss: 0.8175 2022/08/04 23:03:19 - mmengine - INFO - Epoch(train) [165][120/1879] lr: 1.0000e-04 eta: 20:45:20 time: 0.4644 data_time: 0.0183 memory: 17087 grad_norm: 6.6154 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8369 loss: 0.8369 2022/08/04 23:03:28 - mmengine - INFO - Epoch(train) [165][140/1879] lr: 1.0000e-04 eta: 20:45:11 time: 0.4295 data_time: 0.0150 memory: 17087 grad_norm: 6.4161 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8391 loss: 0.8391 2022/08/04 23:03:37 - mmengine - INFO - Epoch(train) [165][160/1879] lr: 1.0000e-04 eta: 20:45:03 time: 0.4595 data_time: 0.0177 memory: 17087 grad_norm: 6.6420 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7305 loss: 0.7305 2022/08/04 23:03:45 - mmengine - INFO - Epoch(train) [165][180/1879] lr: 1.0000e-04 eta: 20:44:54 time: 0.4296 data_time: 0.0135 memory: 17087 grad_norm: 6.6807 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9455 loss: 0.9455 2022/08/04 23:03:54 - mmengine - INFO - Epoch(train) [165][200/1879] lr: 1.0000e-04 eta: 20:44:46 time: 0.4341 data_time: 0.0174 memory: 17087 grad_norm: 6.8412 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7712 loss: 0.7712 2022/08/04 23:04:03 - mmengine - INFO - Epoch(train) [165][220/1879] lr: 1.0000e-04 eta: 20:44:37 time: 0.4287 data_time: 0.0137 memory: 17087 grad_norm: 6.7518 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0384 loss: 1.0384 2022/08/04 23:04:11 - mmengine - INFO - Epoch(train) [165][240/1879] lr: 1.0000e-04 eta: 20:44:28 time: 0.4284 data_time: 0.0158 memory: 17087 grad_norm: 6.5188 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7474 loss: 0.7474 2022/08/04 23:04:20 - mmengine - INFO - Epoch(train) [165][260/1879] lr: 1.0000e-04 eta: 20:44:20 time: 0.4378 data_time: 0.0139 memory: 17087 grad_norm: 6.7563 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7617 loss: 0.7617 2022/08/04 23:04:29 - mmengine - INFO - Epoch(train) [165][280/1879] lr: 1.0000e-04 eta: 20:44:11 time: 0.4335 data_time: 0.0208 memory: 17087 grad_norm: 6.6861 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9236 loss: 0.9236 2022/08/04 23:04:37 - mmengine - INFO - Epoch(train) [165][300/1879] lr: 1.0000e-04 eta: 20:44:02 time: 0.4273 data_time: 0.0131 memory: 17087 grad_norm: 7.0475 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8249 loss: 0.8249 2022/08/04 23:04:46 - mmengine - INFO - Epoch(train) [165][320/1879] lr: 1.0000e-04 eta: 20:43:54 time: 0.4336 data_time: 0.0178 memory: 17087 grad_norm: 6.8603 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8219 loss: 0.8219 2022/08/04 23:04:55 - mmengine - INFO - Epoch(train) [165][340/1879] lr: 1.0000e-04 eta: 20:43:45 time: 0.4358 data_time: 0.0146 memory: 17087 grad_norm: 6.9267 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0030 loss: 1.0030 2022/08/04 23:05:03 - mmengine - INFO - Epoch(train) [165][360/1879] lr: 1.0000e-04 eta: 20:43:36 time: 0.4356 data_time: 0.0175 memory: 17087 grad_norm: 6.4975 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7818 loss: 0.7818 2022/08/04 23:05:12 - mmengine - INFO - Epoch(train) [165][380/1879] lr: 1.0000e-04 eta: 20:43:28 time: 0.4302 data_time: 0.0144 memory: 17087 grad_norm: 6.6961 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7937 loss: 0.7937 2022/08/04 23:05:21 - mmengine - INFO - Epoch(train) [165][400/1879] lr: 1.0000e-04 eta: 20:43:19 time: 0.4307 data_time: 0.0174 memory: 17087 grad_norm: 6.8439 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9993 loss: 0.9993 2022/08/04 23:05:30 - mmengine - INFO - Epoch(train) [165][420/1879] lr: 1.0000e-04 eta: 20:43:11 time: 0.4398 data_time: 0.0151 memory: 17087 grad_norm: 6.9167 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9472 loss: 0.9472 2022/08/04 23:05:38 - mmengine - INFO - Epoch(train) [165][440/1879] lr: 1.0000e-04 eta: 20:43:02 time: 0.4306 data_time: 0.0165 memory: 17087 grad_norm: 6.7615 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9044 loss: 0.9044 2022/08/04 23:05:47 - mmengine - INFO - Epoch(train) [165][460/1879] lr: 1.0000e-04 eta: 20:42:53 time: 0.4390 data_time: 0.0153 memory: 17087 grad_norm: 6.4544 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6862 loss: 0.6862 2022/08/04 23:05:56 - mmengine - INFO - Epoch(train) [165][480/1879] lr: 1.0000e-04 eta: 20:42:45 time: 0.4293 data_time: 0.0153 memory: 17087 grad_norm: 6.7677 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8821 loss: 0.8821 2022/08/04 23:06:04 - mmengine - INFO - Epoch(train) [165][500/1879] lr: 1.0000e-04 eta: 20:42:36 time: 0.4301 data_time: 0.0141 memory: 17087 grad_norm: 6.8390 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8397 loss: 0.8397 2022/08/04 23:06:13 - mmengine - INFO - Epoch(train) [165][520/1879] lr: 1.0000e-04 eta: 20:42:27 time: 0.4355 data_time: 0.0176 memory: 17087 grad_norm: 6.5225 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7951 loss: 0.7951 2022/08/04 23:06:22 - mmengine - INFO - Epoch(train) [165][540/1879] lr: 1.0000e-04 eta: 20:42:19 time: 0.4295 data_time: 0.0150 memory: 17087 grad_norm: 6.6612 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8585 loss: 0.8585 2022/08/04 23:06:30 - mmengine - INFO - Epoch(train) [165][560/1879] lr: 1.0000e-04 eta: 20:42:10 time: 0.4302 data_time: 0.0167 memory: 17087 grad_norm: 6.7707 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7586 loss: 0.7586 2022/08/04 23:06:39 - mmengine - INFO - Epoch(train) [165][580/1879] lr: 1.0000e-04 eta: 20:42:01 time: 0.4337 data_time: 0.0163 memory: 17087 grad_norm: 6.5722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7740 loss: 0.7740 2022/08/04 23:06:47 - mmengine - INFO - Epoch(train) [165][600/1879] lr: 1.0000e-04 eta: 20:41:53 time: 0.4290 data_time: 0.0153 memory: 17087 grad_norm: 6.8627 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7183 loss: 0.7183 2022/08/04 23:06:56 - mmengine - INFO - Epoch(train) [165][620/1879] lr: 1.0000e-04 eta: 20:41:44 time: 0.4411 data_time: 0.0154 memory: 17087 grad_norm: 6.7771 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8517 loss: 0.8517 2022/08/04 23:07:05 - mmengine - INFO - Epoch(train) [165][640/1879] lr: 1.0000e-04 eta: 20:41:35 time: 0.4309 data_time: 0.0165 memory: 17087 grad_norm: 6.5779 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7659 loss: 0.7659 2022/08/04 23:07:14 - mmengine - INFO - Epoch(train) [165][660/1879] lr: 1.0000e-04 eta: 20:41:27 time: 0.4650 data_time: 0.0209 memory: 17087 grad_norm: 6.7357 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9672 loss: 0.9672 2022/08/04 23:07:23 - mmengine - INFO - Epoch(train) [165][680/1879] lr: 1.0000e-04 eta: 20:41:18 time: 0.4295 data_time: 0.0167 memory: 17087 grad_norm: 6.6235 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8400 loss: 0.8400 2022/08/04 23:07:32 - mmengine - INFO - Epoch(train) [165][700/1879] lr: 1.0000e-04 eta: 20:41:10 time: 0.4336 data_time: 0.0198 memory: 17087 grad_norm: 6.4346 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8554 loss: 0.8554 2022/08/04 23:07:40 - mmengine - INFO - Epoch(train) [165][720/1879] lr: 1.0000e-04 eta: 20:41:01 time: 0.4325 data_time: 0.0170 memory: 17087 grad_norm: 6.7571 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8024 loss: 0.8024 2022/08/04 23:07:49 - mmengine - INFO - Epoch(train) [165][740/1879] lr: 1.0000e-04 eta: 20:40:52 time: 0.4302 data_time: 0.0149 memory: 17087 grad_norm: 6.6595 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8526 loss: 0.8526 2022/08/04 23:07:58 - mmengine - INFO - Epoch(train) [165][760/1879] lr: 1.0000e-04 eta: 20:40:44 time: 0.4456 data_time: 0.0171 memory: 17087 grad_norm: 6.9008 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9338 loss: 0.9338 2022/08/04 23:08:06 - mmengine - INFO - Epoch(train) [165][780/1879] lr: 1.0000e-04 eta: 20:40:35 time: 0.4305 data_time: 0.0155 memory: 17087 grad_norm: 6.5644 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7153 loss: 0.7153 2022/08/04 23:08:16 - mmengine - INFO - Epoch(train) [165][800/1879] lr: 1.0000e-04 eta: 20:40:27 time: 0.4613 data_time: 0.0169 memory: 17087 grad_norm: 6.7548 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7885 loss: 0.7885 2022/08/04 23:08:24 - mmengine - INFO - Epoch(train) [165][820/1879] lr: 1.0000e-04 eta: 20:40:18 time: 0.4355 data_time: 0.0207 memory: 17087 grad_norm: 6.7626 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9020 loss: 0.9020 2022/08/04 23:08:33 - mmengine - INFO - Epoch(train) [165][840/1879] lr: 1.0000e-04 eta: 20:40:10 time: 0.4337 data_time: 0.0169 memory: 17087 grad_norm: 6.7497 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7537 loss: 0.7537 2022/08/04 23:08:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 23:08:42 - mmengine - INFO - Epoch(train) [165][860/1879] lr: 1.0000e-04 eta: 20:40:01 time: 0.4283 data_time: 0.0144 memory: 17087 grad_norm: 6.6070 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8171 loss: 0.8171 2022/08/04 23:08:50 - mmengine - INFO - Epoch(train) [165][880/1879] lr: 1.0000e-04 eta: 20:39:52 time: 0.4317 data_time: 0.0184 memory: 17087 grad_norm: 6.7013 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8558 loss: 0.8558 2022/08/04 23:08:59 - mmengine - INFO - Epoch(train) [165][900/1879] lr: 1.0000e-04 eta: 20:39:44 time: 0.4547 data_time: 0.0140 memory: 17087 grad_norm: 6.7313 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8239 loss: 0.8239 2022/08/04 23:09:08 - mmengine - INFO - Epoch(train) [165][920/1879] lr: 1.0000e-04 eta: 20:39:35 time: 0.4346 data_time: 0.0211 memory: 17087 grad_norm: 6.7143 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9043 loss: 0.9043 2022/08/04 23:09:17 - mmengine - INFO - Epoch(train) [165][940/1879] lr: 1.0000e-04 eta: 20:39:27 time: 0.4324 data_time: 0.0158 memory: 17087 grad_norm: 6.7520 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9257 loss: 0.9257 2022/08/04 23:09:25 - mmengine - INFO - Epoch(train) [165][960/1879] lr: 1.0000e-04 eta: 20:39:18 time: 0.4307 data_time: 0.0162 memory: 17087 grad_norm: 6.8109 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0018 loss: 1.0018 2022/08/04 23:09:34 - mmengine - INFO - Epoch(train) [165][980/1879] lr: 1.0000e-04 eta: 20:39:09 time: 0.4308 data_time: 0.0155 memory: 17087 grad_norm: 6.6401 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8889 loss: 0.8889 2022/08/04 23:09:43 - mmengine - INFO - Epoch(train) [165][1000/1879] lr: 1.0000e-04 eta: 20:39:01 time: 0.4309 data_time: 0.0170 memory: 17087 grad_norm: 6.7418 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8143 loss: 0.8143 2022/08/04 23:09:51 - mmengine - INFO - Epoch(train) [165][1020/1879] lr: 1.0000e-04 eta: 20:38:52 time: 0.4289 data_time: 0.0131 memory: 17087 grad_norm: 6.9420 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9975 loss: 0.9975 2022/08/04 23:10:01 - mmengine - INFO - Epoch(train) [165][1040/1879] lr: 1.0000e-04 eta: 20:38:44 time: 0.4635 data_time: 0.0176 memory: 17087 grad_norm: 6.3737 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8392 loss: 0.8392 2022/08/04 23:10:09 - mmengine - INFO - Epoch(train) [165][1060/1879] lr: 1.0000e-04 eta: 20:38:35 time: 0.4350 data_time: 0.0223 memory: 17087 grad_norm: 6.8058 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8814 loss: 0.8814 2022/08/04 23:10:18 - mmengine - INFO - Epoch(train) [165][1080/1879] lr: 1.0000e-04 eta: 20:38:26 time: 0.4367 data_time: 0.0164 memory: 17087 grad_norm: 6.6869 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8524 loss: 0.8524 2022/08/04 23:10:27 - mmengine - INFO - Epoch(train) [165][1100/1879] lr: 1.0000e-04 eta: 20:38:18 time: 0.4295 data_time: 0.0162 memory: 17087 grad_norm: 6.4870 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7173 loss: 0.7173 2022/08/04 23:10:36 - mmengine - INFO - Epoch(train) [165][1120/1879] lr: 1.0000e-04 eta: 20:38:09 time: 0.4524 data_time: 0.0156 memory: 17087 grad_norm: 6.9238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9024 loss: 0.9024 2022/08/04 23:10:44 - mmengine - INFO - Epoch(train) [165][1140/1879] lr: 1.0000e-04 eta: 20:38:01 time: 0.4305 data_time: 0.0169 memory: 17087 grad_norm: 6.6243 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8115 loss: 0.8115 2022/08/04 23:10:53 - mmengine - INFO - Epoch(train) [165][1160/1879] lr: 1.0000e-04 eta: 20:37:52 time: 0.4313 data_time: 0.0155 memory: 17087 grad_norm: 6.7992 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8545 loss: 0.8545 2022/08/04 23:11:02 - mmengine - INFO - Epoch(train) [165][1180/1879] lr: 1.0000e-04 eta: 20:37:43 time: 0.4315 data_time: 0.0172 memory: 17087 grad_norm: 6.6199 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7711 loss: 0.7711 2022/08/04 23:11:10 - mmengine - INFO - Epoch(train) [165][1200/1879] lr: 1.0000e-04 eta: 20:37:35 time: 0.4327 data_time: 0.0177 memory: 17087 grad_norm: 6.8952 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8482 loss: 0.8482 2022/08/04 23:11:19 - mmengine - INFO - Epoch(train) [165][1220/1879] lr: 1.0000e-04 eta: 20:37:26 time: 0.4392 data_time: 0.0150 memory: 17087 grad_norm: 6.7874 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8968 loss: 0.8968 2022/08/04 23:11:28 - mmengine - INFO - Epoch(train) [165][1240/1879] lr: 1.0000e-04 eta: 20:37:17 time: 0.4324 data_time: 0.0175 memory: 17087 grad_norm: 6.6903 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8451 loss: 0.8451 2022/08/04 23:11:36 - mmengine - INFO - Epoch(train) [165][1260/1879] lr: 1.0000e-04 eta: 20:37:09 time: 0.4296 data_time: 0.0157 memory: 17087 grad_norm: 6.7493 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0953 loss: 1.0953 2022/08/04 23:11:45 - mmengine - INFO - Epoch(train) [165][1280/1879] lr: 1.0000e-04 eta: 20:37:00 time: 0.4329 data_time: 0.0166 memory: 17087 grad_norm: 6.3760 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8809 loss: 0.8809 2022/08/04 23:11:54 - mmengine - INFO - Epoch(train) [165][1300/1879] lr: 1.0000e-04 eta: 20:36:51 time: 0.4278 data_time: 0.0130 memory: 17087 grad_norm: 6.6466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7056 loss: 0.7056 2022/08/04 23:12:02 - mmengine - INFO - Epoch(train) [165][1320/1879] lr: 1.0000e-04 eta: 20:36:43 time: 0.4299 data_time: 0.0160 memory: 17087 grad_norm: 6.7251 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8277 loss: 0.8277 2022/08/04 23:12:11 - mmengine - INFO - Epoch(train) [165][1340/1879] lr: 1.0000e-04 eta: 20:36:34 time: 0.4328 data_time: 0.0150 memory: 17087 grad_norm: 6.7408 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0466 loss: 1.0466 2022/08/04 23:12:20 - mmengine - INFO - Epoch(train) [165][1360/1879] lr: 1.0000e-04 eta: 20:36:25 time: 0.4307 data_time: 0.0184 memory: 17087 grad_norm: 6.6223 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7129 loss: 0.7129 2022/08/04 23:12:28 - mmengine - INFO - Epoch(train) [165][1380/1879] lr: 1.0000e-04 eta: 20:36:17 time: 0.4330 data_time: 0.0171 memory: 17087 grad_norm: 6.7881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9012 loss: 0.9012 2022/08/04 23:12:37 - mmengine - INFO - Epoch(train) [165][1400/1879] lr: 1.0000e-04 eta: 20:36:08 time: 0.4324 data_time: 0.0158 memory: 17087 grad_norm: 6.6498 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9956 loss: 0.9956 2022/08/04 23:12:46 - mmengine - INFO - Epoch(train) [165][1420/1879] lr: 1.0000e-04 eta: 20:35:59 time: 0.4376 data_time: 0.0160 memory: 17087 grad_norm: 6.7168 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7974 loss: 0.7974 2022/08/04 23:12:54 - mmengine - INFO - Epoch(train) [165][1440/1879] lr: 1.0000e-04 eta: 20:35:51 time: 0.4339 data_time: 0.0169 memory: 17087 grad_norm: 6.8225 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9272 loss: 0.9272 2022/08/04 23:13:03 - mmengine - INFO - Epoch(train) [165][1460/1879] lr: 1.0000e-04 eta: 20:35:42 time: 0.4293 data_time: 0.0163 memory: 17087 grad_norm: 6.7389 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8673 loss: 0.8673 2022/08/04 23:13:12 - mmengine - INFO - Epoch(train) [165][1480/1879] lr: 1.0000e-04 eta: 20:35:33 time: 0.4284 data_time: 0.0157 memory: 17087 grad_norm: 6.8012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7006 loss: 0.7006 2022/08/04 23:13:20 - mmengine - INFO - Epoch(train) [165][1500/1879] lr: 1.0000e-04 eta: 20:35:25 time: 0.4410 data_time: 0.0158 memory: 17087 grad_norm: 6.9750 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8676 loss: 0.8676 2022/08/04 23:13:29 - mmengine - INFO - Epoch(train) [165][1520/1879] lr: 1.0000e-04 eta: 20:35:16 time: 0.4356 data_time: 0.0235 memory: 17087 grad_norm: 6.7788 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8138 loss: 0.8138 2022/08/04 23:13:38 - mmengine - INFO - Epoch(train) [165][1540/1879] lr: 1.0000e-04 eta: 20:35:08 time: 0.4358 data_time: 0.0152 memory: 17087 grad_norm: 6.6633 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9808 loss: 0.9808 2022/08/04 23:13:46 - mmengine - INFO - Epoch(train) [165][1560/1879] lr: 1.0000e-04 eta: 20:34:59 time: 0.4311 data_time: 0.0157 memory: 17087 grad_norm: 6.5883 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9125 loss: 0.9125 2022/08/04 23:13:55 - mmengine - INFO - Epoch(train) [165][1580/1879] lr: 1.0000e-04 eta: 20:34:50 time: 0.4466 data_time: 0.0153 memory: 17087 grad_norm: 6.7463 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9329 loss: 0.9329 2022/08/04 23:14:04 - mmengine - INFO - Epoch(train) [165][1600/1879] lr: 1.0000e-04 eta: 20:34:42 time: 0.4405 data_time: 0.0206 memory: 17087 grad_norm: 6.7504 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9960 loss: 0.9960 2022/08/04 23:14:13 - mmengine - INFO - Epoch(train) [165][1620/1879] lr: 1.0000e-04 eta: 20:34:33 time: 0.4281 data_time: 0.0132 memory: 17087 grad_norm: 6.8351 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8339 loss: 0.8339 2022/08/04 23:14:21 - mmengine - INFO - Epoch(train) [165][1640/1879] lr: 1.0000e-04 eta: 20:34:25 time: 0.4304 data_time: 0.0160 memory: 17087 grad_norm: 6.6211 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7774 loss: 0.7774 2022/08/04 23:14:30 - mmengine - INFO - Epoch(train) [165][1660/1879] lr: 1.0000e-04 eta: 20:34:16 time: 0.4331 data_time: 0.0162 memory: 17087 grad_norm: 6.8469 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9653 loss: 0.9653 2022/08/04 23:14:39 - mmengine - INFO - Epoch(train) [165][1680/1879] lr: 1.0000e-04 eta: 20:34:07 time: 0.4438 data_time: 0.0160 memory: 17087 grad_norm: 6.9933 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8245 loss: 0.8245 2022/08/04 23:14:48 - mmengine - INFO - Epoch(train) [165][1700/1879] lr: 1.0000e-04 eta: 20:33:59 time: 0.4294 data_time: 0.0143 memory: 17087 grad_norm: 6.8899 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8715 loss: 0.8715 2022/08/04 23:14:56 - mmengine - INFO - Epoch(train) [165][1720/1879] lr: 1.0000e-04 eta: 20:33:50 time: 0.4323 data_time: 0.0175 memory: 17087 grad_norm: 6.6431 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9177 loss: 0.9177 2022/08/04 23:15:05 - mmengine - INFO - Epoch(train) [165][1740/1879] lr: 1.0000e-04 eta: 20:33:41 time: 0.4295 data_time: 0.0146 memory: 17087 grad_norm: 6.9248 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6894 loss: 0.6894 2022/08/04 23:15:14 - mmengine - INFO - Epoch(train) [165][1760/1879] lr: 1.0000e-04 eta: 20:33:33 time: 0.4310 data_time: 0.0170 memory: 17087 grad_norm: 6.7394 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8780 loss: 0.8780 2022/08/04 23:15:22 - mmengine - INFO - Epoch(train) [165][1780/1879] lr: 1.0000e-04 eta: 20:33:24 time: 0.4282 data_time: 0.0138 memory: 17087 grad_norm: 6.9672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9239 loss: 0.9239 2022/08/04 23:15:31 - mmengine - INFO - Epoch(train) [165][1800/1879] lr: 1.0000e-04 eta: 20:33:15 time: 0.4334 data_time: 0.0173 memory: 17087 grad_norm: 6.7736 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8780 loss: 0.8780 2022/08/04 23:15:39 - mmengine - INFO - Epoch(train) [165][1820/1879] lr: 1.0000e-04 eta: 20:33:07 time: 0.4292 data_time: 0.0146 memory: 17087 grad_norm: 6.5890 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8827 loss: 0.8827 2022/08/04 23:15:48 - mmengine - INFO - Epoch(train) [165][1840/1879] lr: 1.0000e-04 eta: 20:32:58 time: 0.4437 data_time: 0.0179 memory: 17087 grad_norm: 6.9405 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7827 loss: 0.7827 2022/08/04 23:15:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 23:15:57 - mmengine - INFO - Epoch(train) [165][1860/1879] lr: 1.0000e-04 eta: 20:32:49 time: 0.4312 data_time: 0.0166 memory: 17087 grad_norm: 6.7908 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8111 loss: 0.8111 2022/08/04 23:16:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 23:16:05 - mmengine - INFO - Epoch(train) [165][1879/1879] lr: 1.0000e-04 eta: 20:32:49 time: 0.4248 data_time: 0.0168 memory: 17087 grad_norm: 7.1436 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 0.8595 loss: 0.8595 2022/08/04 23:16:13 - mmengine - INFO - Epoch(val) [165][20/155] eta: 0:00:51 time: 0.3791 data_time: 0.2107 memory: 2821 2022/08/04 23:16:17 - mmengine - INFO - Epoch(val) [165][40/155] eta: 0:00:27 time: 0.2384 data_time: 0.0730 memory: 2821 2022/08/04 23:16:23 - mmengine - INFO - Epoch(val) [165][60/155] eta: 0:00:28 time: 0.3024 data_time: 0.1327 memory: 2821 2022/08/04 23:16:29 - mmengine - INFO - Epoch(val) [165][80/155] eta: 0:00:19 time: 0.2616 data_time: 0.0942 memory: 2821 2022/08/04 23:16:35 - mmengine - INFO - Epoch(val) [165][100/155] eta: 0:00:17 time: 0.3124 data_time: 0.1458 memory: 2821 2022/08/04 23:16:41 - mmengine - INFO - Epoch(val) [165][120/155] eta: 0:00:09 time: 0.2813 data_time: 0.1128 memory: 2821 2022/08/04 23:16:47 - mmengine - INFO - Epoch(val) [165][140/155] eta: 0:00:04 time: 0.3142 data_time: 0.1455 memory: 2821 2022/08/04 23:16:52 - mmengine - INFO - Epoch(val) [165][155/155] acc/top1: 0.6976 acc/top5: 0.8823 acc/mean1: 0.6974 2022/08/04 23:17:03 - mmengine - INFO - Epoch(train) [166][20/1879] lr: 1.0000e-04 eta: 20:32:30 time: 0.5689 data_time: 0.1381 memory: 17087 grad_norm: 6.5474 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8348 loss: 0.8348 2022/08/04 23:17:12 - mmengine - INFO - Epoch(train) [166][40/1879] lr: 1.0000e-04 eta: 20:32:21 time: 0.4292 data_time: 0.0161 memory: 17087 grad_norm: 6.9709 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8531 loss: 0.8531 2022/08/04 23:17:21 - mmengine - INFO - Epoch(train) [166][60/1879] lr: 1.0000e-04 eta: 20:32:12 time: 0.4417 data_time: 0.0141 memory: 17087 grad_norm: 6.6934 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7453 loss: 0.7453 2022/08/04 23:17:30 - mmengine - INFO - Epoch(train) [166][80/1879] lr: 1.0000e-04 eta: 20:32:04 time: 0.4361 data_time: 0.0221 memory: 17087 grad_norm: 6.9058 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7082 loss: 0.7082 2022/08/04 23:17:38 - mmengine - INFO - Epoch(train) [166][100/1879] lr: 1.0000e-04 eta: 20:31:55 time: 0.4282 data_time: 0.0143 memory: 17087 grad_norm: 6.6053 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0044 loss: 1.0044 2022/08/04 23:17:47 - mmengine - INFO - Epoch(train) [166][120/1879] lr: 1.0000e-04 eta: 20:31:46 time: 0.4439 data_time: 0.0156 memory: 17087 grad_norm: 6.7553 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9710 loss: 0.9710 2022/08/04 23:17:56 - mmengine - INFO - Epoch(train) [166][140/1879] lr: 1.0000e-04 eta: 20:31:38 time: 0.4398 data_time: 0.0217 memory: 17087 grad_norm: 6.4959 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8326 loss: 0.8326 2022/08/04 23:18:05 - mmengine - INFO - Epoch(train) [166][160/1879] lr: 1.0000e-04 eta: 20:31:29 time: 0.4298 data_time: 0.0154 memory: 17087 grad_norm: 6.6149 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6863 loss: 0.6863 2022/08/04 23:18:13 - mmengine - INFO - Epoch(train) [166][180/1879] lr: 1.0000e-04 eta: 20:31:21 time: 0.4289 data_time: 0.0166 memory: 17087 grad_norm: 6.6291 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7977 loss: 0.7977 2022/08/04 23:18:22 - mmengine - INFO - Epoch(train) [166][200/1879] lr: 1.0000e-04 eta: 20:31:12 time: 0.4332 data_time: 0.0175 memory: 17087 grad_norm: 6.7943 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7948 loss: 0.7948 2022/08/04 23:18:30 - mmengine - INFO - Epoch(train) [166][220/1879] lr: 1.0000e-04 eta: 20:31:03 time: 0.4311 data_time: 0.0149 memory: 17087 grad_norm: 6.8689 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9085 loss: 0.9085 2022/08/04 23:18:39 - mmengine - INFO - Epoch(train) [166][240/1879] lr: 1.0000e-04 eta: 20:30:55 time: 0.4320 data_time: 0.0162 memory: 17087 grad_norm: 6.6806 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7704 loss: 0.7704 2022/08/04 23:18:48 - mmengine - INFO - Epoch(train) [166][260/1879] lr: 1.0000e-04 eta: 20:30:46 time: 0.4468 data_time: 0.0170 memory: 17087 grad_norm: 6.7164 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8388 loss: 0.8388 2022/08/04 23:18:57 - mmengine - INFO - Epoch(train) [166][280/1879] lr: 1.0000e-04 eta: 20:30:38 time: 0.4384 data_time: 0.0178 memory: 17087 grad_norm: 6.8828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8555 loss: 0.8555 2022/08/04 23:19:05 - mmengine - INFO - Epoch(train) [166][300/1879] lr: 1.0000e-04 eta: 20:30:29 time: 0.4275 data_time: 0.0125 memory: 17087 grad_norm: 6.7960 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9355 loss: 0.9355 2022/08/04 23:19:14 - mmengine - INFO - Epoch(train) [166][320/1879] lr: 1.0000e-04 eta: 20:30:20 time: 0.4304 data_time: 0.0180 memory: 17087 grad_norm: 6.6107 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7564 loss: 0.7564 2022/08/04 23:19:23 - mmengine - INFO - Epoch(train) [166][340/1879] lr: 1.0000e-04 eta: 20:30:11 time: 0.4288 data_time: 0.0143 memory: 17087 grad_norm: 6.3323 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7352 loss: 0.7352 2022/08/04 23:19:31 - mmengine - INFO - Epoch(train) [166][360/1879] lr: 1.0000e-04 eta: 20:30:03 time: 0.4295 data_time: 0.0170 memory: 17087 grad_norm: 6.5845 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8038 loss: 0.8038 2022/08/04 23:19:40 - mmengine - INFO - Epoch(train) [166][380/1879] lr: 1.0000e-04 eta: 20:29:54 time: 0.4339 data_time: 0.0160 memory: 17087 grad_norm: 6.7718 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8485 loss: 0.8485 2022/08/04 23:19:49 - mmengine - INFO - Epoch(train) [166][400/1879] lr: 1.0000e-04 eta: 20:29:45 time: 0.4302 data_time: 0.0160 memory: 17087 grad_norm: 6.5097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8907 loss: 0.8907 2022/08/04 23:19:57 - mmengine - INFO - Epoch(train) [166][420/1879] lr: 1.0000e-04 eta: 20:29:37 time: 0.4413 data_time: 0.0157 memory: 17087 grad_norm: 6.5916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8912 loss: 0.8912 2022/08/04 23:20:06 - mmengine - INFO - Epoch(train) [166][440/1879] lr: 1.0000e-04 eta: 20:29:28 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 6.6294 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7459 loss: 0.7459 2022/08/04 23:20:15 - mmengine - INFO - Epoch(train) [166][460/1879] lr: 1.0000e-04 eta: 20:29:20 time: 0.4479 data_time: 0.0154 memory: 17087 grad_norm: 6.5421 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7746 loss: 0.7746 2022/08/04 23:20:24 - mmengine - INFO - Epoch(train) [166][480/1879] lr: 1.0000e-04 eta: 20:29:11 time: 0.4298 data_time: 0.0153 memory: 17087 grad_norm: 6.6280 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9087 loss: 0.9087 2022/08/04 23:20:32 - mmengine - INFO - Epoch(train) [166][500/1879] lr: 1.0000e-04 eta: 20:29:02 time: 0.4340 data_time: 0.0186 memory: 17087 grad_norm: 6.9488 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9043 loss: 0.9043 2022/08/04 23:20:41 - mmengine - INFO - Epoch(train) [166][520/1879] lr: 1.0000e-04 eta: 20:28:54 time: 0.4416 data_time: 0.0172 memory: 17087 grad_norm: 6.7646 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7143 loss: 0.7143 2022/08/04 23:20:50 - mmengine - INFO - Epoch(train) [166][540/1879] lr: 1.0000e-04 eta: 20:28:45 time: 0.4303 data_time: 0.0151 memory: 17087 grad_norm: 7.0093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8463 loss: 0.8463 2022/08/04 23:20:58 - mmengine - INFO - Epoch(train) [166][560/1879] lr: 1.0000e-04 eta: 20:28:37 time: 0.4335 data_time: 0.0168 memory: 17087 grad_norm: 6.9415 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8871 loss: 0.8871 2022/08/04 23:21:07 - mmengine - INFO - Epoch(train) [166][580/1879] lr: 1.0000e-04 eta: 20:28:28 time: 0.4310 data_time: 0.0154 memory: 17087 grad_norm: 6.8747 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8867 loss: 0.8867 2022/08/04 23:21:16 - mmengine - INFO - Epoch(train) [166][600/1879] lr: 1.0000e-04 eta: 20:28:19 time: 0.4458 data_time: 0.0173 memory: 17087 grad_norm: 6.5419 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7791 loss: 0.7791 2022/08/04 23:21:25 - mmengine - INFO - Epoch(train) [166][620/1879] lr: 1.0000e-04 eta: 20:28:11 time: 0.4289 data_time: 0.0146 memory: 17087 grad_norm: 6.7403 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8298 loss: 0.8298 2022/08/04 23:21:33 - mmengine - INFO - Epoch(train) [166][640/1879] lr: 1.0000e-04 eta: 20:28:02 time: 0.4312 data_time: 0.0170 memory: 17087 grad_norm: 6.5968 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8781 loss: 0.8781 2022/08/04 23:21:42 - mmengine - INFO - Epoch(train) [166][660/1879] lr: 1.0000e-04 eta: 20:27:53 time: 0.4327 data_time: 0.0159 memory: 17087 grad_norm: 6.5551 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8626 loss: 0.8626 2022/08/04 23:21:51 - mmengine - INFO - Epoch(train) [166][680/1879] lr: 1.0000e-04 eta: 20:27:45 time: 0.4313 data_time: 0.0160 memory: 17087 grad_norm: 6.7441 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9555 loss: 0.9555 2022/08/04 23:21:59 - mmengine - INFO - Epoch(train) [166][700/1879] lr: 1.0000e-04 eta: 20:27:36 time: 0.4358 data_time: 0.0153 memory: 17087 grad_norm: 6.8727 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0206 loss: 1.0206 2022/08/04 23:22:08 - mmengine - INFO - Epoch(train) [166][720/1879] lr: 1.0000e-04 eta: 20:27:27 time: 0.4306 data_time: 0.0156 memory: 17087 grad_norm: 6.6764 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9359 loss: 0.9359 2022/08/04 23:22:17 - mmengine - INFO - Epoch(train) [166][740/1879] lr: 1.0000e-04 eta: 20:27:19 time: 0.4497 data_time: 0.0148 memory: 17087 grad_norm: 6.9794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8664 loss: 0.8664 2022/08/04 23:22:26 - mmengine - INFO - Epoch(train) [166][760/1879] lr: 1.0000e-04 eta: 20:27:10 time: 0.4299 data_time: 0.0165 memory: 17087 grad_norm: 6.7347 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8979 loss: 0.8979 2022/08/04 23:22:34 - mmengine - INFO - Epoch(train) [166][780/1879] lr: 1.0000e-04 eta: 20:27:02 time: 0.4327 data_time: 0.0163 memory: 17087 grad_norm: 6.8099 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7162 loss: 0.7162 2022/08/04 23:22:43 - mmengine - INFO - Epoch(train) [166][800/1879] lr: 1.0000e-04 eta: 20:26:53 time: 0.4417 data_time: 0.0157 memory: 17087 grad_norm: 6.6686 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9218 loss: 0.9218 2022/08/04 23:22:52 - mmengine - INFO - Epoch(train) [166][820/1879] lr: 1.0000e-04 eta: 20:26:44 time: 0.4291 data_time: 0.0152 memory: 17087 grad_norm: 6.3822 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8651 loss: 0.8651 2022/08/04 23:23:00 - mmengine - INFO - Epoch(train) [166][840/1879] lr: 1.0000e-04 eta: 20:26:36 time: 0.4306 data_time: 0.0164 memory: 17087 grad_norm: 6.4752 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8076 loss: 0.8076 2022/08/04 23:23:09 - mmengine - INFO - Epoch(train) [166][860/1879] lr: 1.0000e-04 eta: 20:26:27 time: 0.4315 data_time: 0.0154 memory: 17087 grad_norm: 6.5792 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8379 loss: 0.8379 2022/08/04 23:23:18 - mmengine - INFO - Epoch(train) [166][880/1879] lr: 1.0000e-04 eta: 20:26:18 time: 0.4318 data_time: 0.0164 memory: 17087 grad_norm: 6.7518 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8209 loss: 0.8209 2022/08/04 23:23:26 - mmengine - INFO - Epoch(train) [166][900/1879] lr: 1.0000e-04 eta: 20:26:10 time: 0.4299 data_time: 0.0153 memory: 17087 grad_norm: 6.7333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9460 loss: 0.9460 2022/08/04 23:23:35 - mmengine - INFO - Epoch(train) [166][920/1879] lr: 1.0000e-04 eta: 20:26:01 time: 0.4370 data_time: 0.0170 memory: 17087 grad_norm: 6.4184 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7339 loss: 0.7339 2022/08/04 23:23:44 - mmengine - INFO - Epoch(train) [166][940/1879] lr: 1.0000e-04 eta: 20:25:52 time: 0.4265 data_time: 0.0147 memory: 17087 grad_norm: 6.5722 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7253 loss: 0.7253 2022/08/04 23:23:52 - mmengine - INFO - Epoch(train) [166][960/1879] lr: 1.0000e-04 eta: 20:25:44 time: 0.4305 data_time: 0.0154 memory: 17087 grad_norm: 6.7374 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7760 loss: 0.7760 2022/08/04 23:23:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 23:24:01 - mmengine - INFO - Epoch(train) [166][980/1879] lr: 1.0000e-04 eta: 20:25:35 time: 0.4579 data_time: 0.0158 memory: 17087 grad_norm: 7.0064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8867 loss: 0.8867 2022/08/04 23:24:10 - mmengine - INFO - Epoch(train) [166][1000/1879] lr: 1.0000e-04 eta: 20:25:27 time: 0.4295 data_time: 0.0175 memory: 17087 grad_norm: 6.8007 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8237 loss: 0.8237 2022/08/04 23:24:19 - mmengine - INFO - Epoch(train) [166][1020/1879] lr: 1.0000e-04 eta: 20:25:18 time: 0.4415 data_time: 0.0168 memory: 17087 grad_norm: 6.6338 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8937 loss: 0.8937 2022/08/04 23:24:27 - mmengine - INFO - Epoch(train) [166][1040/1879] lr: 1.0000e-04 eta: 20:25:09 time: 0.4288 data_time: 0.0154 memory: 17087 grad_norm: 6.7706 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7242 loss: 0.7242 2022/08/04 23:24:36 - mmengine - INFO - Epoch(train) [166][1060/1879] lr: 1.0000e-04 eta: 20:25:01 time: 0.4440 data_time: 0.0161 memory: 17087 grad_norm: 6.8516 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8658 loss: 0.8658 2022/08/04 23:24:45 - mmengine - INFO - Epoch(train) [166][1080/1879] lr: 1.0000e-04 eta: 20:24:52 time: 0.4300 data_time: 0.0152 memory: 17087 grad_norm: 6.7599 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7780 loss: 0.7780 2022/08/04 23:24:54 - mmengine - INFO - Epoch(train) [166][1100/1879] lr: 1.0000e-04 eta: 20:24:44 time: 0.4274 data_time: 0.0140 memory: 17087 grad_norm: 6.5187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6902 loss: 0.6902 2022/08/04 23:25:02 - mmengine - INFO - Epoch(train) [166][1120/1879] lr: 1.0000e-04 eta: 20:24:35 time: 0.4453 data_time: 0.0174 memory: 17087 grad_norm: 6.5896 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9005 loss: 0.9005 2022/08/04 23:25:11 - mmengine - INFO - Epoch(train) [166][1140/1879] lr: 1.0000e-04 eta: 20:24:26 time: 0.4279 data_time: 0.0152 memory: 17087 grad_norm: 6.9278 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8688 loss: 0.8688 2022/08/04 23:25:20 - mmengine - INFO - Epoch(train) [166][1160/1879] lr: 1.0000e-04 eta: 20:24:18 time: 0.4497 data_time: 0.0162 memory: 17087 grad_norm: 6.7133 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9615 loss: 0.9615 2022/08/04 23:25:29 - mmengine - INFO - Epoch(train) [166][1180/1879] lr: 1.0000e-04 eta: 20:24:09 time: 0.4283 data_time: 0.0143 memory: 17087 grad_norm: 6.8361 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9442 loss: 0.9442 2022/08/04 23:25:37 - mmengine - INFO - Epoch(train) [166][1200/1879] lr: 1.0000e-04 eta: 20:24:00 time: 0.4319 data_time: 0.0170 memory: 17087 grad_norm: 6.5177 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8464 loss: 0.8464 2022/08/04 23:25:46 - mmengine - INFO - Epoch(train) [166][1220/1879] lr: 1.0000e-04 eta: 20:23:52 time: 0.4288 data_time: 0.0147 memory: 17087 grad_norm: 6.4611 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9563 loss: 0.9563 2022/08/04 23:25:55 - mmengine - INFO - Epoch(train) [166][1240/1879] lr: 1.0000e-04 eta: 20:23:43 time: 0.4466 data_time: 0.0164 memory: 17087 grad_norm: 6.6003 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9081 loss: 0.9081 2022/08/04 23:26:03 - mmengine - INFO - Epoch(train) [166][1260/1879] lr: 1.0000e-04 eta: 20:23:35 time: 0.4292 data_time: 0.0160 memory: 17087 grad_norm: 6.8969 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8479 loss: 0.8479 2022/08/04 23:26:12 - mmengine - INFO - Epoch(train) [166][1280/1879] lr: 1.0000e-04 eta: 20:23:26 time: 0.4328 data_time: 0.0160 memory: 17087 grad_norm: 6.8840 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8004 loss: 0.8004 2022/08/04 23:26:21 - mmengine - INFO - Epoch(train) [166][1300/1879] lr: 1.0000e-04 eta: 20:23:17 time: 0.4313 data_time: 0.0179 memory: 17087 grad_norm: 6.7356 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7622 loss: 0.7622 2022/08/04 23:26:29 - mmengine - INFO - Epoch(train) [166][1320/1879] lr: 1.0000e-04 eta: 20:23:09 time: 0.4340 data_time: 0.0161 memory: 17087 grad_norm: 6.9964 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9446 loss: 0.9446 2022/08/04 23:26:38 - mmengine - INFO - Epoch(train) [166][1340/1879] lr: 1.0000e-04 eta: 20:23:00 time: 0.4338 data_time: 0.0151 memory: 17087 grad_norm: 6.4774 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7530 loss: 0.7530 2022/08/04 23:26:47 - mmengine - INFO - Epoch(train) [166][1360/1879] lr: 1.0000e-04 eta: 20:22:52 time: 0.4443 data_time: 0.0179 memory: 17087 grad_norm: 6.7464 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6721 loss: 0.6721 2022/08/04 23:26:56 - mmengine - INFO - Epoch(train) [166][1380/1879] lr: 1.0000e-04 eta: 20:22:43 time: 0.4293 data_time: 0.0145 memory: 17087 grad_norm: 6.7401 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7353 loss: 0.7353 2022/08/04 23:27:04 - mmengine - INFO - Epoch(train) [166][1400/1879] lr: 1.0000e-04 eta: 20:22:34 time: 0.4410 data_time: 0.0214 memory: 17087 grad_norm: 6.7641 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7415 loss: 0.7415 2022/08/04 23:27:13 - mmengine - INFO - Epoch(train) [166][1420/1879] lr: 1.0000e-04 eta: 20:22:26 time: 0.4280 data_time: 0.0124 memory: 17087 grad_norm: 6.6488 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8734 loss: 0.8734 2022/08/04 23:27:22 - mmengine - INFO - Epoch(train) [166][1440/1879] lr: 1.0000e-04 eta: 20:22:17 time: 0.4300 data_time: 0.0170 memory: 17087 grad_norm: 6.9309 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7383 loss: 0.7383 2022/08/04 23:27:31 - mmengine - INFO - Epoch(train) [166][1460/1879] lr: 1.0000e-04 eta: 20:22:08 time: 0.4544 data_time: 0.0176 memory: 17087 grad_norm: 6.8240 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9103 loss: 0.9103 2022/08/04 23:27:39 - mmengine - INFO - Epoch(train) [166][1480/1879] lr: 1.0000e-04 eta: 20:22:00 time: 0.4297 data_time: 0.0166 memory: 17087 grad_norm: 6.8287 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9058 loss: 0.9058 2022/08/04 23:27:49 - mmengine - INFO - Epoch(train) [166][1500/1879] lr: 1.0000e-04 eta: 20:21:51 time: 0.4610 data_time: 0.0208 memory: 17087 grad_norm: 6.8813 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9399 loss: 0.9399 2022/08/04 23:27:57 - mmengine - INFO - Epoch(train) [166][1520/1879] lr: 1.0000e-04 eta: 20:21:43 time: 0.4364 data_time: 0.0204 memory: 17087 grad_norm: 6.6617 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8414 loss: 0.8414 2022/08/04 23:28:07 - mmengine - INFO - Epoch(train) [166][1540/1879] lr: 1.0000e-04 eta: 20:21:34 time: 0.4556 data_time: 0.0166 memory: 17087 grad_norm: 6.6924 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9368 loss: 0.9368 2022/08/04 23:28:15 - mmengine - INFO - Epoch(train) [166][1560/1879] lr: 1.0000e-04 eta: 20:21:26 time: 0.4343 data_time: 0.0164 memory: 17087 grad_norm: 6.7958 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8308 loss: 0.8308 2022/08/04 23:28:24 - mmengine - INFO - Epoch(train) [166][1580/1879] lr: 1.0000e-04 eta: 20:21:17 time: 0.4292 data_time: 0.0165 memory: 17087 grad_norm: 6.6626 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7201 loss: 0.7201 2022/08/04 23:28:32 - mmengine - INFO - Epoch(train) [166][1600/1879] lr: 1.0000e-04 eta: 20:21:08 time: 0.4286 data_time: 0.0161 memory: 17087 grad_norm: 6.7891 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0252 loss: 1.0252 2022/08/04 23:28:41 - mmengine - INFO - Epoch(train) [166][1620/1879] lr: 1.0000e-04 eta: 20:21:00 time: 0.4333 data_time: 0.0159 memory: 17087 grad_norm: 6.6463 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7772 loss: 0.7772 2022/08/04 23:28:50 - mmengine - INFO - Epoch(train) [166][1640/1879] lr: 1.0000e-04 eta: 20:20:51 time: 0.4321 data_time: 0.0177 memory: 17087 grad_norm: 6.7895 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9693 loss: 0.9693 2022/08/04 23:28:58 - mmengine - INFO - Epoch(train) [166][1660/1879] lr: 1.0000e-04 eta: 20:20:42 time: 0.4306 data_time: 0.0133 memory: 17087 grad_norm: 7.0709 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9218 loss: 0.9218 2022/08/04 23:29:07 - mmengine - INFO - Epoch(train) [166][1680/1879] lr: 1.0000e-04 eta: 20:20:34 time: 0.4321 data_time: 0.0164 memory: 17087 grad_norm: 6.7672 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9903 loss: 0.9903 2022/08/04 23:29:16 - mmengine - INFO - Epoch(train) [166][1700/1879] lr: 1.0000e-04 eta: 20:20:25 time: 0.4302 data_time: 0.0155 memory: 17087 grad_norm: 6.5382 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6247 loss: 0.6247 2022/08/04 23:29:24 - mmengine - INFO - Epoch(train) [166][1720/1879] lr: 1.0000e-04 eta: 20:20:16 time: 0.4312 data_time: 0.0163 memory: 17087 grad_norm: 6.6868 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7779 loss: 0.7779 2022/08/04 23:29:33 - mmengine - INFO - Epoch(train) [166][1740/1879] lr: 1.0000e-04 eta: 20:20:08 time: 0.4279 data_time: 0.0130 memory: 17087 grad_norm: 6.8753 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9118 loss: 0.9118 2022/08/04 23:29:42 - mmengine - INFO - Epoch(train) [166][1760/1879] lr: 1.0000e-04 eta: 20:19:59 time: 0.4420 data_time: 0.0180 memory: 17087 grad_norm: 6.8611 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7087 loss: 0.7087 2022/08/04 23:29:50 - mmengine - INFO - Epoch(train) [166][1780/1879] lr: 1.0000e-04 eta: 20:19:51 time: 0.4291 data_time: 0.0138 memory: 17087 grad_norm: 6.8283 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9142 loss: 0.9142 2022/08/04 23:29:59 - mmengine - INFO - Epoch(train) [166][1800/1879] lr: 1.0000e-04 eta: 20:19:42 time: 0.4522 data_time: 0.0174 memory: 17087 grad_norm: 6.6406 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8820 loss: 0.8820 2022/08/04 23:30:08 - mmengine - INFO - Epoch(train) [166][1820/1879] lr: 1.0000e-04 eta: 20:19:33 time: 0.4280 data_time: 0.0134 memory: 17087 grad_norm: 6.5924 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7363 loss: 0.7363 2022/08/04 23:30:17 - mmengine - INFO - Epoch(train) [166][1840/1879] lr: 1.0000e-04 eta: 20:19:25 time: 0.4350 data_time: 0.0186 memory: 17087 grad_norm: 6.5856 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8578 loss: 0.8578 2022/08/04 23:30:25 - mmengine - INFO - Epoch(train) [166][1860/1879] lr: 1.0000e-04 eta: 20:19:16 time: 0.4287 data_time: 0.0146 memory: 17087 grad_norm: 6.6023 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7859 loss: 0.7859 2022/08/04 23:30:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 23:30:33 - mmengine - INFO - Epoch(train) [166][1879/1879] lr: 1.0000e-04 eta: 20:19:16 time: 0.4087 data_time: 0.0154 memory: 17087 grad_norm: 7.2134 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8893 loss: 0.8893 2022/08/04 23:30:45 - mmengine - INFO - Epoch(train) [167][20/1879] lr: 1.0000e-04 eta: 20:18:56 time: 0.5817 data_time: 0.1033 memory: 17087 grad_norm: 6.8217 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9283 loss: 0.9283 2022/08/04 23:30:53 - mmengine - INFO - Epoch(train) [167][40/1879] lr: 1.0000e-04 eta: 20:18:48 time: 0.4307 data_time: 0.0172 memory: 17087 grad_norm: 6.8179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8838 loss: 0.8838 2022/08/04 23:31:02 - mmengine - INFO - Epoch(train) [167][60/1879] lr: 1.0000e-04 eta: 20:18:39 time: 0.4311 data_time: 0.0137 memory: 17087 grad_norm: 6.5533 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8544 loss: 0.8544 2022/08/04 23:31:11 - mmengine - INFO - Epoch(train) [167][80/1879] lr: 1.0000e-04 eta: 20:18:30 time: 0.4307 data_time: 0.0171 memory: 17087 grad_norm: 6.7438 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7701 loss: 0.7701 2022/08/04 23:31:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 23:31:20 - mmengine - INFO - Epoch(train) [167][100/1879] lr: 1.0000e-04 eta: 20:18:22 time: 0.4561 data_time: 0.0204 memory: 17087 grad_norm: 6.7131 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9751 loss: 0.9751 2022/08/04 23:31:28 - mmengine - INFO - Epoch(train) [167][120/1879] lr: 1.0000e-04 eta: 20:18:13 time: 0.4290 data_time: 0.0168 memory: 17087 grad_norm: 6.6410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8886 loss: 0.8886 2022/08/04 23:31:37 - mmengine - INFO - Epoch(train) [167][140/1879] lr: 1.0000e-04 eta: 20:18:05 time: 0.4389 data_time: 0.0203 memory: 17087 grad_norm: 6.9418 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8982 loss: 0.8982 2022/08/04 23:31:46 - mmengine - INFO - Epoch(train) [167][160/1879] lr: 1.0000e-04 eta: 20:17:56 time: 0.4305 data_time: 0.0160 memory: 17087 grad_norm: 6.5939 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8955 loss: 0.8955 2022/08/04 23:31:54 - mmengine - INFO - Epoch(train) [167][180/1879] lr: 1.0000e-04 eta: 20:17:47 time: 0.4275 data_time: 0.0148 memory: 17087 grad_norm: 6.9163 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7894 loss: 0.7894 2022/08/04 23:32:03 - mmengine - INFO - Epoch(train) [167][200/1879] lr: 1.0000e-04 eta: 20:17:39 time: 0.4332 data_time: 0.0169 memory: 17087 grad_norm: 6.6412 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8936 loss: 0.8936 2022/08/04 23:32:12 - mmengine - INFO - Epoch(train) [167][220/1879] lr: 1.0000e-04 eta: 20:17:30 time: 0.4281 data_time: 0.0139 memory: 17087 grad_norm: 6.7237 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9392 loss: 0.9392 2022/08/04 23:32:21 - mmengine - INFO - Epoch(train) [167][240/1879] lr: 1.0000e-04 eta: 20:17:22 time: 0.4685 data_time: 0.0177 memory: 17087 grad_norm: 6.7026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9098 loss: 0.9098 2022/08/04 23:32:30 - mmengine - INFO - Epoch(train) [167][260/1879] lr: 1.0000e-04 eta: 20:17:13 time: 0.4294 data_time: 0.0160 memory: 17087 grad_norm: 6.7858 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7767 loss: 0.7767 2022/08/04 23:32:39 - mmengine - INFO - Epoch(train) [167][280/1879] lr: 1.0000e-04 eta: 20:17:05 time: 0.4577 data_time: 0.0222 memory: 17087 grad_norm: 6.5870 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8400 loss: 0.8400 2022/08/04 23:32:48 - mmengine - INFO - Epoch(train) [167][300/1879] lr: 1.0000e-04 eta: 20:16:56 time: 0.4300 data_time: 0.0155 memory: 17087 grad_norm: 6.8591 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8345 loss: 0.8345 2022/08/04 23:32:56 - mmengine - INFO - Epoch(train) [167][320/1879] lr: 1.0000e-04 eta: 20:16:48 time: 0.4525 data_time: 0.0217 memory: 17087 grad_norm: 6.7226 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8498 loss: 0.8498 2022/08/04 23:33:05 - mmengine - INFO - Epoch(train) [167][340/1879] lr: 1.0000e-04 eta: 20:16:39 time: 0.4274 data_time: 0.0151 memory: 17087 grad_norm: 6.6980 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9033 loss: 0.9033 2022/08/04 23:33:14 - mmengine - INFO - Epoch(train) [167][360/1879] lr: 1.0000e-04 eta: 20:16:30 time: 0.4313 data_time: 0.0199 memory: 17087 grad_norm: 6.6620 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9375 loss: 0.9375 2022/08/04 23:33:23 - mmengine - INFO - Epoch(train) [167][380/1879] lr: 1.0000e-04 eta: 20:16:22 time: 0.4480 data_time: 0.0155 memory: 17087 grad_norm: 6.6486 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8582 loss: 0.8582 2022/08/04 23:33:31 - mmengine - INFO - Epoch(train) [167][400/1879] lr: 1.0000e-04 eta: 20:16:13 time: 0.4296 data_time: 0.0159 memory: 17087 grad_norm: 6.4211 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8116 loss: 0.8116 2022/08/04 23:33:40 - mmengine - INFO - Epoch(train) [167][420/1879] lr: 1.0000e-04 eta: 20:16:05 time: 0.4576 data_time: 0.0202 memory: 17087 grad_norm: 6.7427 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9345 loss: 0.9345 2022/08/04 23:33:49 - mmengine - INFO - Epoch(train) [167][440/1879] lr: 1.0000e-04 eta: 20:15:56 time: 0.4308 data_time: 0.0160 memory: 17087 grad_norm: 6.6563 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0612 loss: 1.0612 2022/08/04 23:33:58 - mmengine - INFO - Epoch(train) [167][460/1879] lr: 1.0000e-04 eta: 20:15:47 time: 0.4507 data_time: 0.0192 memory: 17087 grad_norm: 6.4687 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8956 loss: 0.8956 2022/08/04 23:34:07 - mmengine - INFO - Epoch(train) [167][480/1879] lr: 1.0000e-04 eta: 20:15:39 time: 0.4312 data_time: 0.0164 memory: 17087 grad_norm: 6.8646 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8063 loss: 0.8063 2022/08/04 23:34:15 - mmengine - INFO - Epoch(train) [167][500/1879] lr: 1.0000e-04 eta: 20:15:30 time: 0.4313 data_time: 0.0134 memory: 17087 grad_norm: 6.6715 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5961 loss: 0.5961 2022/08/04 23:34:24 - mmengine - INFO - Epoch(train) [167][520/1879] lr: 1.0000e-04 eta: 20:15:21 time: 0.4304 data_time: 0.0170 memory: 17087 grad_norm: 6.6148 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7736 loss: 0.7736 2022/08/04 23:34:33 - mmengine - INFO - Epoch(train) [167][540/1879] lr: 1.0000e-04 eta: 20:15:13 time: 0.4353 data_time: 0.0151 memory: 17087 grad_norm: 6.8419 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7832 loss: 0.7832 2022/08/04 23:34:42 - mmengine - INFO - Epoch(train) [167][560/1879] lr: 1.0000e-04 eta: 20:15:04 time: 0.4496 data_time: 0.0165 memory: 17087 grad_norm: 6.8053 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7400 loss: 0.7400 2022/08/04 23:34:51 - mmengine - INFO - Epoch(train) [167][580/1879] lr: 1.0000e-04 eta: 20:14:56 time: 0.4381 data_time: 0.0218 memory: 17087 grad_norm: 6.7610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7960 loss: 0.7960 2022/08/04 23:34:59 - mmengine - INFO - Epoch(train) [167][600/1879] lr: 1.0000e-04 eta: 20:14:47 time: 0.4310 data_time: 0.0149 memory: 17087 grad_norm: 6.6604 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7770 loss: 0.7770 2022/08/04 23:35:08 - mmengine - INFO - Epoch(train) [167][620/1879] lr: 1.0000e-04 eta: 20:14:39 time: 0.4515 data_time: 0.0144 memory: 17087 grad_norm: 6.8459 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8632 loss: 0.8632 2022/08/04 23:35:17 - mmengine - INFO - Epoch(train) [167][640/1879] lr: 1.0000e-04 eta: 20:14:30 time: 0.4314 data_time: 0.0182 memory: 17087 grad_norm: 6.7774 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9110 loss: 0.9110 2022/08/04 23:35:26 - mmengine - INFO - Epoch(train) [167][660/1879] lr: 1.0000e-04 eta: 20:14:21 time: 0.4341 data_time: 0.0188 memory: 17087 grad_norm: 6.8519 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.1138 loss: 1.1138 2022/08/04 23:35:34 - mmengine - INFO - Epoch(train) [167][680/1879] lr: 1.0000e-04 eta: 20:14:13 time: 0.4316 data_time: 0.0167 memory: 17087 grad_norm: 6.6211 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9162 loss: 0.9162 2022/08/04 23:35:43 - mmengine - INFO - Epoch(train) [167][700/1879] lr: 1.0000e-04 eta: 20:14:04 time: 0.4293 data_time: 0.0142 memory: 17087 grad_norm: 6.6292 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0029 loss: 1.0029 2022/08/04 23:35:52 - mmengine - INFO - Epoch(train) [167][720/1879] lr: 1.0000e-04 eta: 20:13:56 time: 0.4627 data_time: 0.0182 memory: 17087 grad_norm: 6.6666 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8411 loss: 0.8411 2022/08/04 23:36:01 - mmengine - INFO - Epoch(train) [167][740/1879] lr: 1.0000e-04 eta: 20:13:47 time: 0.4329 data_time: 0.0177 memory: 17087 grad_norm: 6.8517 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9030 loss: 0.9030 2022/08/04 23:36:10 - mmengine - INFO - Epoch(train) [167][760/1879] lr: 1.0000e-04 eta: 20:13:38 time: 0.4388 data_time: 0.0192 memory: 17087 grad_norm: 6.5449 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7650 loss: 0.7650 2022/08/04 23:36:18 - mmengine - INFO - Epoch(train) [167][780/1879] lr: 1.0000e-04 eta: 20:13:30 time: 0.4277 data_time: 0.0143 memory: 17087 grad_norm: 6.8700 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9106 loss: 0.9106 2022/08/04 23:36:27 - mmengine - INFO - Epoch(train) [167][800/1879] lr: 1.0000e-04 eta: 20:13:21 time: 0.4543 data_time: 0.0185 memory: 17087 grad_norm: 6.7998 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8513 loss: 0.8513 2022/08/04 23:36:36 - mmengine - INFO - Epoch(train) [167][820/1879] lr: 1.0000e-04 eta: 20:13:13 time: 0.4321 data_time: 0.0138 memory: 17087 grad_norm: 6.9029 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0425 loss: 1.0425 2022/08/04 23:36:45 - mmengine - INFO - Epoch(train) [167][840/1879] lr: 1.0000e-04 eta: 20:13:04 time: 0.4288 data_time: 0.0150 memory: 17087 grad_norm: 6.7254 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9404 loss: 0.9404 2022/08/04 23:36:54 - mmengine - INFO - Epoch(train) [167][860/1879] lr: 1.0000e-04 eta: 20:12:56 time: 0.4507 data_time: 0.0143 memory: 17087 grad_norm: 6.6401 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8240 loss: 0.8240 2022/08/04 23:37:03 - mmengine - INFO - Epoch(train) [167][880/1879] lr: 1.0000e-04 eta: 20:12:47 time: 0.4570 data_time: 0.0230 memory: 17087 grad_norm: 6.7230 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9794 loss: 0.9794 2022/08/04 23:37:11 - mmengine - INFO - Epoch(train) [167][900/1879] lr: 1.0000e-04 eta: 20:12:38 time: 0.4292 data_time: 0.0132 memory: 17087 grad_norm: 6.7158 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8686 loss: 0.8686 2022/08/04 23:37:20 - mmengine - INFO - Epoch(train) [167][920/1879] lr: 1.0000e-04 eta: 20:12:30 time: 0.4372 data_time: 0.0219 memory: 17087 grad_norm: 6.6956 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8293 loss: 0.8293 2022/08/04 23:37:29 - mmengine - INFO - Epoch(train) [167][940/1879] lr: 1.0000e-04 eta: 20:12:21 time: 0.4305 data_time: 0.0145 memory: 17087 grad_norm: 6.7332 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8390 loss: 0.8390 2022/08/04 23:37:38 - mmengine - INFO - Epoch(train) [167][960/1879] lr: 1.0000e-04 eta: 20:12:13 time: 0.4516 data_time: 0.0189 memory: 17087 grad_norm: 6.6559 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7749 loss: 0.7749 2022/08/04 23:37:47 - mmengine - INFO - Epoch(train) [167][980/1879] lr: 1.0000e-04 eta: 20:12:04 time: 0.4464 data_time: 0.0143 memory: 17087 grad_norm: 6.9433 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8545 loss: 0.8545 2022/08/04 23:37:55 - mmengine - INFO - Epoch(train) [167][1000/1879] lr: 1.0000e-04 eta: 20:11:56 time: 0.4323 data_time: 0.0168 memory: 17087 grad_norm: 6.7809 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8323 loss: 0.8323 2022/08/04 23:38:04 - mmengine - INFO - Epoch(train) [167][1020/1879] lr: 1.0000e-04 eta: 20:11:47 time: 0.4319 data_time: 0.0167 memory: 17087 grad_norm: 6.8301 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8851 loss: 0.8851 2022/08/04 23:38:13 - mmengine - INFO - Epoch(train) [167][1040/1879] lr: 1.0000e-04 eta: 20:11:38 time: 0.4299 data_time: 0.0172 memory: 17087 grad_norm: 6.8265 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8968 loss: 0.8968 2022/08/04 23:38:22 - mmengine - INFO - Epoch(train) [167][1060/1879] lr: 1.0000e-04 eta: 20:11:30 time: 0.4451 data_time: 0.0169 memory: 17087 grad_norm: 6.8971 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9001 loss: 0.9001 2022/08/04 23:38:30 - mmengine - INFO - Epoch(train) [167][1080/1879] lr: 1.0000e-04 eta: 20:11:21 time: 0.4292 data_time: 0.0162 memory: 17087 grad_norm: 6.6108 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0456 loss: 1.0456 2022/08/04 23:38:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 23:38:39 - mmengine - INFO - Epoch(train) [167][1100/1879] lr: 1.0000e-04 eta: 20:11:12 time: 0.4389 data_time: 0.0185 memory: 17087 grad_norm: 6.6693 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7716 loss: 0.7716 2022/08/04 23:38:48 - mmengine - INFO - Epoch(train) [167][1120/1879] lr: 1.0000e-04 eta: 20:11:04 time: 0.4301 data_time: 0.0155 memory: 17087 grad_norm: 6.8588 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8218 loss: 0.8218 2022/08/04 23:38:56 - mmengine - INFO - Epoch(train) [167][1140/1879] lr: 1.0000e-04 eta: 20:10:55 time: 0.4365 data_time: 0.0159 memory: 17087 grad_norm: 6.6525 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7447 loss: 0.7447 2022/08/04 23:39:05 - mmengine - INFO - Epoch(train) [167][1160/1879] lr: 1.0000e-04 eta: 20:10:47 time: 0.4316 data_time: 0.0181 memory: 17087 grad_norm: 6.6131 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8228 loss: 0.8228 2022/08/04 23:39:14 - mmengine - INFO - Epoch(train) [167][1180/1879] lr: 1.0000e-04 eta: 20:10:38 time: 0.4285 data_time: 0.0149 memory: 17087 grad_norm: 6.6474 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9437 loss: 0.9437 2022/08/04 23:39:23 - mmengine - INFO - Epoch(train) [167][1200/1879] lr: 1.0000e-04 eta: 20:10:29 time: 0.4596 data_time: 0.0203 memory: 17087 grad_norm: 6.7771 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8460 loss: 0.8460 2022/08/04 23:39:31 - mmengine - INFO - Epoch(train) [167][1220/1879] lr: 1.0000e-04 eta: 20:10:21 time: 0.4304 data_time: 0.0138 memory: 17087 grad_norm: 6.7529 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6208 loss: 0.6208 2022/08/04 23:39:41 - mmengine - INFO - Epoch(train) [167][1240/1879] lr: 1.0000e-04 eta: 20:10:12 time: 0.4588 data_time: 0.0217 memory: 17087 grad_norm: 6.7772 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9828 loss: 0.9828 2022/08/04 23:39:49 - mmengine - INFO - Epoch(train) [167][1260/1879] lr: 1.0000e-04 eta: 20:10:04 time: 0.4321 data_time: 0.0153 memory: 17087 grad_norm: 6.8683 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9856 loss: 0.9856 2022/08/04 23:39:58 - mmengine - INFO - Epoch(train) [167][1280/1879] lr: 1.0000e-04 eta: 20:09:55 time: 0.4520 data_time: 0.0171 memory: 17087 grad_norm: 6.7856 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9338 loss: 0.9338 2022/08/04 23:40:07 - mmengine - INFO - Epoch(train) [167][1300/1879] lr: 1.0000e-04 eta: 20:09:47 time: 0.4267 data_time: 0.0134 memory: 17087 grad_norm: 6.6875 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8082 loss: 0.8082 2022/08/04 23:40:16 - mmengine - INFO - Epoch(train) [167][1320/1879] lr: 1.0000e-04 eta: 20:09:38 time: 0.4363 data_time: 0.0210 memory: 17087 grad_norm: 6.7348 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8089 loss: 0.8089 2022/08/04 23:40:25 - mmengine - INFO - Epoch(train) [167][1340/1879] lr: 1.0000e-04 eta: 20:09:30 time: 0.4462 data_time: 0.0139 memory: 17087 grad_norm: 6.8234 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7849 loss: 0.7849 2022/08/04 23:40:33 - mmengine - INFO - Epoch(train) [167][1360/1879] lr: 1.0000e-04 eta: 20:09:21 time: 0.4297 data_time: 0.0165 memory: 17087 grad_norm: 6.5356 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8001 loss: 0.8001 2022/08/04 23:40:42 - mmengine - INFO - Epoch(train) [167][1380/1879] lr: 1.0000e-04 eta: 20:09:12 time: 0.4585 data_time: 0.0154 memory: 17087 grad_norm: 6.9096 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8944 loss: 0.8944 2022/08/04 23:40:51 - mmengine - INFO - Epoch(train) [167][1400/1879] lr: 1.0000e-04 eta: 20:09:04 time: 0.4306 data_time: 0.0159 memory: 17087 grad_norm: 6.7726 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8666 loss: 0.8666 2022/08/04 23:41:00 - mmengine - INFO - Epoch(train) [167][1420/1879] lr: 1.0000e-04 eta: 20:08:55 time: 0.4326 data_time: 0.0160 memory: 17087 grad_norm: 6.8464 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8479 loss: 0.8479 2022/08/04 23:41:08 - mmengine - INFO - Epoch(train) [167][1440/1879] lr: 1.0000e-04 eta: 20:08:46 time: 0.4303 data_time: 0.0158 memory: 17087 grad_norm: 6.8223 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7937 loss: 0.7937 2022/08/04 23:41:17 - mmengine - INFO - Epoch(train) [167][1460/1879] lr: 1.0000e-04 eta: 20:08:38 time: 0.4511 data_time: 0.0165 memory: 17087 grad_norm: 6.6892 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8324 loss: 0.8324 2022/08/04 23:41:26 - mmengine - INFO - Epoch(train) [167][1480/1879] lr: 1.0000e-04 eta: 20:08:29 time: 0.4308 data_time: 0.0166 memory: 17087 grad_norm: 6.5187 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8064 loss: 0.8064 2022/08/04 23:41:35 - mmengine - INFO - Epoch(train) [167][1500/1879] lr: 1.0000e-04 eta: 20:08:21 time: 0.4275 data_time: 0.0127 memory: 17087 grad_norm: 6.8325 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8717 loss: 0.8717 2022/08/04 23:41:43 - mmengine - INFO - Epoch(train) [167][1520/1879] lr: 1.0000e-04 eta: 20:08:12 time: 0.4479 data_time: 0.0173 memory: 17087 grad_norm: 6.5534 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8387 loss: 0.8387 2022/08/04 23:41:52 - mmengine - INFO - Epoch(train) [167][1540/1879] lr: 1.0000e-04 eta: 20:08:04 time: 0.4381 data_time: 0.0165 memory: 17087 grad_norm: 6.5704 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7537 loss: 0.7537 2022/08/04 23:42:01 - mmengine - INFO - Epoch(train) [167][1560/1879] lr: 1.0000e-04 eta: 20:07:55 time: 0.4297 data_time: 0.0155 memory: 17087 grad_norm: 6.8256 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8288 loss: 0.8288 2022/08/04 23:42:10 - mmengine - INFO - Epoch(train) [167][1580/1879] lr: 1.0000e-04 eta: 20:07:46 time: 0.4421 data_time: 0.0231 memory: 17087 grad_norm: 6.8670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9463 loss: 0.9463 2022/08/04 23:42:18 - mmengine - INFO - Epoch(train) [167][1600/1879] lr: 1.0000e-04 eta: 20:07:38 time: 0.4272 data_time: 0.0163 memory: 17087 grad_norm: 6.5187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8904 loss: 0.8904 2022/08/04 23:42:27 - mmengine - INFO - Epoch(train) [167][1620/1879] lr: 1.0000e-04 eta: 20:07:29 time: 0.4339 data_time: 0.0134 memory: 17087 grad_norm: 6.6996 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8769 loss: 0.8769 2022/08/04 23:42:36 - mmengine - INFO - Epoch(train) [167][1640/1879] lr: 1.0000e-04 eta: 20:07:20 time: 0.4312 data_time: 0.0187 memory: 17087 grad_norm: 6.6804 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7065 loss: 0.7065 2022/08/04 23:42:44 - mmengine - INFO - Epoch(train) [167][1660/1879] lr: 1.0000e-04 eta: 20:07:12 time: 0.4276 data_time: 0.0142 memory: 17087 grad_norm: 6.7507 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8773 loss: 0.8773 2022/08/04 23:42:53 - mmengine - INFO - Epoch(train) [167][1680/1879] lr: 1.0000e-04 eta: 20:07:03 time: 0.4377 data_time: 0.0163 memory: 17087 grad_norm: 6.8549 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7993 loss: 0.7993 2022/08/04 23:43:02 - mmengine - INFO - Epoch(train) [167][1700/1879] lr: 1.0000e-04 eta: 20:06:54 time: 0.4336 data_time: 0.0182 memory: 17087 grad_norm: 6.6663 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8887 loss: 0.8887 2022/08/04 23:43:11 - mmengine - INFO - Epoch(train) [167][1720/1879] lr: 1.0000e-04 eta: 20:06:46 time: 0.4449 data_time: 0.0166 memory: 17087 grad_norm: 6.6181 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8211 loss: 0.8211 2022/08/04 23:43:19 - mmengine - INFO - Epoch(train) [167][1740/1879] lr: 1.0000e-04 eta: 20:06:37 time: 0.4291 data_time: 0.0162 memory: 17087 grad_norm: 6.8127 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8035 loss: 0.8035 2022/08/04 23:43:28 - mmengine - INFO - Epoch(train) [167][1760/1879] lr: 1.0000e-04 eta: 20:06:28 time: 0.4306 data_time: 0.0177 memory: 17087 grad_norm: 6.5802 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7279 loss: 0.7279 2022/08/04 23:43:37 - mmengine - INFO - Epoch(train) [167][1780/1879] lr: 1.0000e-04 eta: 20:06:20 time: 0.4409 data_time: 0.0173 memory: 17087 grad_norm: 6.8121 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0433 loss: 1.0433 2022/08/04 23:43:45 - mmengine - INFO - Epoch(train) [167][1800/1879] lr: 1.0000e-04 eta: 20:06:11 time: 0.4278 data_time: 0.0149 memory: 17087 grad_norm: 6.7416 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7166 loss: 0.7166 2022/08/04 23:43:54 - mmengine - INFO - Epoch(train) [167][1820/1879] lr: 1.0000e-04 eta: 20:06:03 time: 0.4299 data_time: 0.0151 memory: 17087 grad_norm: 6.8161 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8523 loss: 0.8523 2022/08/04 23:44:03 - mmengine - INFO - Epoch(train) [167][1840/1879] lr: 1.0000e-04 eta: 20:05:54 time: 0.4413 data_time: 0.0219 memory: 17087 grad_norm: 6.9290 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7304 loss: 0.7304 2022/08/04 23:44:11 - mmengine - INFO - Epoch(train) [167][1860/1879] lr: 1.0000e-04 eta: 20:05:45 time: 0.4298 data_time: 0.0153 memory: 17087 grad_norm: 6.9047 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0127 loss: 1.0127 2022/08/04 23:44:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 23:44:19 - mmengine - INFO - Epoch(train) [167][1879/1879] lr: 1.0000e-04 eta: 20:05:45 time: 0.4130 data_time: 0.0166 memory: 17087 grad_norm: 6.8668 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.9097 loss: 0.9097 2022/08/04 23:44:31 - mmengine - INFO - Epoch(train) [168][20/1879] lr: 1.0000e-04 eta: 20:05:26 time: 0.5862 data_time: 0.1416 memory: 17087 grad_norm: 6.6665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7728 loss: 0.7728 2022/08/04 23:44:40 - mmengine - INFO - Epoch(train) [168][40/1879] lr: 1.0000e-04 eta: 20:05:17 time: 0.4645 data_time: 0.0198 memory: 17087 grad_norm: 6.7536 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8120 loss: 0.8120 2022/08/04 23:44:49 - mmengine - INFO - Epoch(train) [168][60/1879] lr: 1.0000e-04 eta: 20:05:09 time: 0.4279 data_time: 0.0131 memory: 17087 grad_norm: 6.4210 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7906 loss: 0.7906 2022/08/04 23:44:58 - mmengine - INFO - Epoch(train) [168][80/1879] lr: 1.0000e-04 eta: 20:05:00 time: 0.4396 data_time: 0.0202 memory: 17087 grad_norm: 6.9372 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0017 loss: 1.0017 2022/08/04 23:45:06 - mmengine - INFO - Epoch(train) [168][100/1879] lr: 1.0000e-04 eta: 20:04:51 time: 0.4325 data_time: 0.0150 memory: 17087 grad_norm: 6.5722 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0265 loss: 1.0265 2022/08/04 23:45:15 - mmengine - INFO - Epoch(train) [168][120/1879] lr: 1.0000e-04 eta: 20:04:43 time: 0.4315 data_time: 0.0202 memory: 17087 grad_norm: 6.8946 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7708 loss: 0.7708 2022/08/04 23:45:24 - mmengine - INFO - Epoch(train) [168][140/1879] lr: 1.0000e-04 eta: 20:04:34 time: 0.4562 data_time: 0.0151 memory: 17087 grad_norm: 6.7165 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9680 loss: 0.9680 2022/08/04 23:45:33 - mmengine - INFO - Epoch(train) [168][160/1879] lr: 1.0000e-04 eta: 20:04:26 time: 0.4292 data_time: 0.0170 memory: 17087 grad_norm: 6.6325 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9176 loss: 0.9176 2022/08/04 23:45:42 - mmengine - INFO - Epoch(train) [168][180/1879] lr: 1.0000e-04 eta: 20:04:17 time: 0.4549 data_time: 0.0193 memory: 17087 grad_norm: 6.5783 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8779 loss: 0.8779 2022/08/04 23:45:51 - mmengine - INFO - Epoch(train) [168][200/1879] lr: 1.0000e-04 eta: 20:04:09 time: 0.4310 data_time: 0.0166 memory: 17087 grad_norm: 6.9205 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9487 loss: 0.9487 2022/08/04 23:45:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 23:45:59 - mmengine - INFO - Epoch(train) [168][220/1879] lr: 1.0000e-04 eta: 20:04:00 time: 0.4361 data_time: 0.0206 memory: 17087 grad_norm: 6.7570 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9112 loss: 0.9112 2022/08/04 23:46:08 - mmengine - INFO - Epoch(train) [168][240/1879] lr: 1.0000e-04 eta: 20:03:51 time: 0.4416 data_time: 0.0288 memory: 17087 grad_norm: 6.8297 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9162 loss: 0.9162 2022/08/04 23:46:17 - mmengine - INFO - Epoch(train) [168][260/1879] lr: 1.0000e-04 eta: 20:03:43 time: 0.4380 data_time: 0.0170 memory: 17087 grad_norm: 6.5696 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7859 loss: 0.7859 2022/08/04 23:46:25 - mmengine - INFO - Epoch(train) [168][280/1879] lr: 1.0000e-04 eta: 20:03:34 time: 0.4306 data_time: 0.0164 memory: 17087 grad_norm: 6.7398 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8689 loss: 0.8689 2022/08/04 23:46:34 - mmengine - INFO - Epoch(train) [168][300/1879] lr: 1.0000e-04 eta: 20:03:26 time: 0.4487 data_time: 0.0135 memory: 17087 grad_norm: 6.6531 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7965 loss: 0.7965 2022/08/04 23:46:43 - mmengine - INFO - Epoch(train) [168][320/1879] lr: 1.0000e-04 eta: 20:03:17 time: 0.4299 data_time: 0.0159 memory: 17087 grad_norm: 6.9367 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8136 loss: 0.8136 2022/08/04 23:46:52 - mmengine - INFO - Epoch(train) [168][340/1879] lr: 1.0000e-04 eta: 20:03:08 time: 0.4362 data_time: 0.0159 memory: 17087 grad_norm: 6.3577 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8821 loss: 0.8821 2022/08/04 23:47:01 - mmengine - INFO - Epoch(train) [168][360/1879] lr: 1.0000e-04 eta: 20:03:00 time: 0.4480 data_time: 0.0157 memory: 17087 grad_norm: 6.8872 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9545 loss: 0.9545 2022/08/04 23:47:10 - mmengine - INFO - Epoch(train) [168][380/1879] lr: 1.0000e-04 eta: 20:02:51 time: 0.4383 data_time: 0.0167 memory: 17087 grad_norm: 6.6237 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9412 loss: 0.9412 2022/08/04 23:47:18 - mmengine - INFO - Epoch(train) [168][400/1879] lr: 1.0000e-04 eta: 20:02:43 time: 0.4295 data_time: 0.0161 memory: 17087 grad_norm: 6.8121 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0782 loss: 1.0782 2022/08/04 23:47:27 - mmengine - INFO - Epoch(train) [168][420/1879] lr: 1.0000e-04 eta: 20:02:34 time: 0.4297 data_time: 0.0150 memory: 17087 grad_norm: 6.8201 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9324 loss: 0.9324 2022/08/04 23:47:35 - mmengine - INFO - Epoch(train) [168][440/1879] lr: 1.0000e-04 eta: 20:02:25 time: 0.4306 data_time: 0.0170 memory: 17087 grad_norm: 6.5898 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8720 loss: 0.8720 2022/08/04 23:47:44 - mmengine - INFO - Epoch(train) [168][460/1879] lr: 1.0000e-04 eta: 20:02:17 time: 0.4302 data_time: 0.0145 memory: 17087 grad_norm: 6.7238 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0290 loss: 1.0290 2022/08/04 23:47:53 - mmengine - INFO - Epoch(train) [168][480/1879] lr: 1.0000e-04 eta: 20:02:08 time: 0.4302 data_time: 0.0157 memory: 17087 grad_norm: 6.6792 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7403 loss: 0.7403 2022/08/04 23:48:01 - mmengine - INFO - Epoch(train) [168][500/1879] lr: 1.0000e-04 eta: 20:01:59 time: 0.4356 data_time: 0.0169 memory: 17087 grad_norm: 6.7345 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8814 loss: 0.8814 2022/08/04 23:48:10 - mmengine - INFO - Epoch(train) [168][520/1879] lr: 1.0000e-04 eta: 20:01:51 time: 0.4282 data_time: 0.0186 memory: 17087 grad_norm: 6.9509 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7558 loss: 0.7558 2022/08/04 23:48:19 - mmengine - INFO - Epoch(train) [168][540/1879] lr: 1.0000e-04 eta: 20:01:42 time: 0.4333 data_time: 0.0162 memory: 17087 grad_norm: 6.6023 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8551 loss: 0.8551 2022/08/04 23:48:27 - mmengine - INFO - Epoch(train) [168][560/1879] lr: 1.0000e-04 eta: 20:01:33 time: 0.4303 data_time: 0.0156 memory: 17087 grad_norm: 6.5357 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0117 loss: 1.0117 2022/08/04 23:48:36 - mmengine - INFO - Epoch(train) [168][580/1879] lr: 1.0000e-04 eta: 20:01:25 time: 0.4274 data_time: 0.0130 memory: 17087 grad_norm: 6.6756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7944 loss: 0.7944 2022/08/04 23:48:45 - mmengine - INFO - Epoch(train) [168][600/1879] lr: 1.0000e-04 eta: 20:01:16 time: 0.4615 data_time: 0.0166 memory: 17087 grad_norm: 6.7761 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9187 loss: 0.9187 2022/08/04 23:48:54 - mmengine - INFO - Epoch(train) [168][620/1879] lr: 1.0000e-04 eta: 20:01:08 time: 0.4532 data_time: 0.0142 memory: 17087 grad_norm: 6.7888 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7556 loss: 0.7556 2022/08/04 23:49:03 - mmengine - INFO - Epoch(train) [168][640/1879] lr: 1.0000e-04 eta: 20:00:59 time: 0.4307 data_time: 0.0155 memory: 17087 grad_norm: 6.4447 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8251 loss: 0.8251 2022/08/04 23:49:12 - mmengine - INFO - Epoch(train) [168][660/1879] lr: 1.0000e-04 eta: 20:00:51 time: 0.4446 data_time: 0.0224 memory: 17087 grad_norm: 6.5396 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7491 loss: 0.7491 2022/08/04 23:49:20 - mmengine - INFO - Epoch(train) [168][680/1879] lr: 1.0000e-04 eta: 20:00:42 time: 0.4313 data_time: 0.0175 memory: 17087 grad_norm: 6.5047 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8112 loss: 0.8112 2022/08/04 23:49:30 - mmengine - INFO - Epoch(train) [168][700/1879] lr: 1.0000e-04 eta: 20:00:34 time: 0.4660 data_time: 0.0156 memory: 17087 grad_norm: 6.7851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9206 loss: 0.9206 2022/08/04 23:49:38 - mmengine - INFO - Epoch(train) [168][720/1879] lr: 1.0000e-04 eta: 20:00:25 time: 0.4366 data_time: 0.0224 memory: 17087 grad_norm: 6.8367 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7534 loss: 0.7534 2022/08/04 23:49:48 - mmengine - INFO - Epoch(train) [168][740/1879] lr: 1.0000e-04 eta: 20:00:17 time: 0.4670 data_time: 0.0166 memory: 17087 grad_norm: 6.8940 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8450 loss: 0.8450 2022/08/04 23:49:56 - mmengine - INFO - Epoch(train) [168][760/1879] lr: 1.0000e-04 eta: 20:00:08 time: 0.4297 data_time: 0.0156 memory: 17087 grad_norm: 6.9471 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9840 loss: 0.9840 2022/08/04 23:50:05 - mmengine - INFO - Epoch(train) [168][780/1879] lr: 1.0000e-04 eta: 19:59:59 time: 0.4336 data_time: 0.0195 memory: 17087 grad_norm: 6.6288 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7542 loss: 0.7542 2022/08/04 23:50:15 - mmengine - INFO - Epoch(train) [168][800/1879] lr: 1.0000e-04 eta: 19:59:51 time: 0.4732 data_time: 0.0183 memory: 17087 grad_norm: 6.8064 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7567 loss: 0.7567 2022/08/04 23:50:23 - mmengine - INFO - Epoch(train) [168][820/1879] lr: 1.0000e-04 eta: 19:59:43 time: 0.4295 data_time: 0.0158 memory: 17087 grad_norm: 6.7911 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8102 loss: 0.8102 2022/08/04 23:50:32 - mmengine - INFO - Epoch(train) [168][840/1879] lr: 1.0000e-04 eta: 19:59:34 time: 0.4424 data_time: 0.0222 memory: 17087 grad_norm: 6.9219 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8400 loss: 0.8400 2022/08/04 23:50:41 - mmengine - INFO - Epoch(train) [168][860/1879] lr: 1.0000e-04 eta: 19:59:25 time: 0.4309 data_time: 0.0147 memory: 17087 grad_norm: 6.5504 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8179 loss: 0.8179 2022/08/04 23:50:50 - mmengine - INFO - Epoch(train) [168][880/1879] lr: 1.0000e-04 eta: 19:59:17 time: 0.4608 data_time: 0.0165 memory: 17087 grad_norm: 6.8033 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8621 loss: 0.8621 2022/08/04 23:50:59 - mmengine - INFO - Epoch(train) [168][900/1879] lr: 1.0000e-04 eta: 19:59:08 time: 0.4298 data_time: 0.0142 memory: 17087 grad_norm: 6.6847 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9850 loss: 0.9850 2022/08/04 23:51:07 - mmengine - INFO - Epoch(train) [168][920/1879] lr: 1.0000e-04 eta: 19:59:00 time: 0.4396 data_time: 0.0208 memory: 17087 grad_norm: 6.6947 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8050 loss: 0.8050 2022/08/04 23:51:16 - mmengine - INFO - Epoch(train) [168][940/1879] lr: 1.0000e-04 eta: 19:58:51 time: 0.4267 data_time: 0.0138 memory: 17087 grad_norm: 6.8795 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9259 loss: 0.9259 2022/08/04 23:51:25 - mmengine - INFO - Epoch(train) [168][960/1879] lr: 1.0000e-04 eta: 19:58:42 time: 0.4299 data_time: 0.0162 memory: 17087 grad_norm: 6.6140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7350 loss: 0.7350 2022/08/04 23:51:33 - mmengine - INFO - Epoch(train) [168][980/1879] lr: 1.0000e-04 eta: 19:58:34 time: 0.4324 data_time: 0.0164 memory: 17087 grad_norm: 6.9101 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8895 loss: 0.8895 2022/08/04 23:51:42 - mmengine - INFO - Epoch(train) [168][1000/1879] lr: 1.0000e-04 eta: 19:58:25 time: 0.4294 data_time: 0.0158 memory: 17087 grad_norm: 6.9088 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8454 loss: 0.8454 2022/08/04 23:51:51 - mmengine - INFO - Epoch(train) [168][1020/1879] lr: 1.0000e-04 eta: 19:58:17 time: 0.4546 data_time: 0.0178 memory: 17087 grad_norm: 6.7177 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8033 loss: 0.8033 2022/08/04 23:52:00 - mmengine - INFO - Epoch(train) [168][1040/1879] lr: 1.0000e-04 eta: 19:58:08 time: 0.4292 data_time: 0.0162 memory: 17087 grad_norm: 6.6058 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0141 loss: 1.0141 2022/08/04 23:52:09 - mmengine - INFO - Epoch(train) [168][1060/1879] lr: 1.0000e-04 eta: 19:58:00 time: 0.4589 data_time: 0.0186 memory: 17087 grad_norm: 6.9101 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8232 loss: 0.8232 2022/08/04 23:52:17 - mmengine - INFO - Epoch(train) [168][1080/1879] lr: 1.0000e-04 eta: 19:57:51 time: 0.4286 data_time: 0.0149 memory: 17087 grad_norm: 6.5197 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8673 loss: 0.8673 2022/08/04 23:52:26 - mmengine - INFO - Epoch(train) [168][1100/1879] lr: 1.0000e-04 eta: 19:57:42 time: 0.4337 data_time: 0.0204 memory: 17087 grad_norm: 6.8754 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9754 loss: 0.9754 2022/08/04 23:52:35 - mmengine - INFO - Epoch(train) [168][1120/1879] lr: 1.0000e-04 eta: 19:57:34 time: 0.4599 data_time: 0.0167 memory: 17087 grad_norm: 6.6579 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9034 loss: 0.9034 2022/08/04 23:52:44 - mmengine - INFO - Epoch(train) [168][1140/1879] lr: 1.0000e-04 eta: 19:57:25 time: 0.4287 data_time: 0.0151 memory: 17087 grad_norm: 6.7238 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8080 loss: 0.8080 2022/08/04 23:52:53 - mmengine - INFO - Epoch(train) [168][1160/1879] lr: 1.0000e-04 eta: 19:57:17 time: 0.4593 data_time: 0.0214 memory: 17087 grad_norm: 6.5628 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9327 loss: 0.9327 2022/08/04 23:53:02 - mmengine - INFO - Epoch(train) [168][1180/1879] lr: 1.0000e-04 eta: 19:57:08 time: 0.4271 data_time: 0.0144 memory: 17087 grad_norm: 6.8458 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0803 loss: 1.0803 2022/08/04 23:53:10 - mmengine - INFO - Epoch(train) [168][1200/1879] lr: 1.0000e-04 eta: 19:57:00 time: 0.4440 data_time: 0.0225 memory: 17087 grad_norm: 6.4823 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7367 loss: 0.7367 2022/08/04 23:53:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 23:53:19 - mmengine - INFO - Epoch(train) [168][1220/1879] lr: 1.0000e-04 eta: 19:56:51 time: 0.4308 data_time: 0.0144 memory: 17087 grad_norm: 6.5619 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7746 loss: 0.7746 2022/08/04 23:53:28 - mmengine - INFO - Epoch(train) [168][1240/1879] lr: 1.0000e-04 eta: 19:56:42 time: 0.4494 data_time: 0.0175 memory: 17087 grad_norm: 6.8310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8739 loss: 0.8739 2022/08/04 23:53:37 - mmengine - INFO - Epoch(train) [168][1260/1879] lr: 1.0000e-04 eta: 19:56:34 time: 0.4288 data_time: 0.0151 memory: 17087 grad_norm: 6.8585 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8627 loss: 0.8627 2022/08/04 23:53:45 - mmengine - INFO - Epoch(train) [168][1280/1879] lr: 1.0000e-04 eta: 19:56:25 time: 0.4329 data_time: 0.0181 memory: 17087 grad_norm: 6.7903 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8922 loss: 0.8922 2022/08/04 23:53:54 - mmengine - INFO - Epoch(train) [168][1300/1879] lr: 1.0000e-04 eta: 19:56:16 time: 0.4328 data_time: 0.0163 memory: 17087 grad_norm: 6.8958 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9422 loss: 0.9422 2022/08/04 23:54:03 - mmengine - INFO - Epoch(train) [168][1320/1879] lr: 1.0000e-04 eta: 19:56:08 time: 0.4305 data_time: 0.0161 memory: 17087 grad_norm: 6.6820 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7127 loss: 0.7127 2022/08/04 23:54:12 - mmengine - INFO - Epoch(train) [168][1340/1879] lr: 1.0000e-04 eta: 19:55:59 time: 0.4418 data_time: 0.0161 memory: 17087 grad_norm: 6.6547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9618 loss: 0.9618 2022/08/04 23:54:20 - mmengine - INFO - Epoch(train) [168][1360/1879] lr: 1.0000e-04 eta: 19:55:51 time: 0.4311 data_time: 0.0156 memory: 17087 grad_norm: 6.8468 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7718 loss: 0.7718 2022/08/04 23:54:29 - mmengine - INFO - Epoch(train) [168][1380/1879] lr: 1.0000e-04 eta: 19:55:42 time: 0.4465 data_time: 0.0162 memory: 17087 grad_norm: 6.7795 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8935 loss: 0.8935 2022/08/04 23:54:38 - mmengine - INFO - Epoch(train) [168][1400/1879] lr: 1.0000e-04 eta: 19:55:33 time: 0.4361 data_time: 0.0166 memory: 17087 grad_norm: 6.8537 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9749 loss: 0.9749 2022/08/04 23:54:46 - mmengine - INFO - Epoch(train) [168][1420/1879] lr: 1.0000e-04 eta: 19:55:25 time: 0.4283 data_time: 0.0150 memory: 17087 grad_norm: 6.8663 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8586 loss: 0.8586 2022/08/04 23:54:56 - mmengine - INFO - Epoch(train) [168][1440/1879] lr: 1.0000e-04 eta: 19:55:16 time: 0.4555 data_time: 0.0169 memory: 17087 grad_norm: 6.9481 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8322 loss: 0.8322 2022/08/04 23:55:04 - mmengine - INFO - Epoch(train) [168][1460/1879] lr: 1.0000e-04 eta: 19:55:08 time: 0.4294 data_time: 0.0148 memory: 17087 grad_norm: 6.6586 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9171 loss: 0.9171 2022/08/04 23:55:13 - mmengine - INFO - Epoch(train) [168][1480/1879] lr: 1.0000e-04 eta: 19:54:59 time: 0.4323 data_time: 0.0163 memory: 17087 grad_norm: 6.9138 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9620 loss: 0.9620 2022/08/04 23:55:21 - mmengine - INFO - Epoch(train) [168][1500/1879] lr: 1.0000e-04 eta: 19:54:50 time: 0.4298 data_time: 0.0161 memory: 17087 grad_norm: 6.6486 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8607 loss: 0.8607 2022/08/04 23:55:30 - mmengine - INFO - Epoch(train) [168][1520/1879] lr: 1.0000e-04 eta: 19:54:42 time: 0.4367 data_time: 0.0177 memory: 17087 grad_norm: 7.4038 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9126 loss: 0.9126 2022/08/04 23:55:39 - mmengine - INFO - Epoch(train) [168][1540/1879] lr: 1.0000e-04 eta: 19:54:33 time: 0.4314 data_time: 0.0165 memory: 17087 grad_norm: 6.5502 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8538 loss: 0.8538 2022/08/04 23:55:47 - mmengine - INFO - Epoch(train) [168][1560/1879] lr: 1.0000e-04 eta: 19:54:24 time: 0.4312 data_time: 0.0155 memory: 17087 grad_norm: 6.6833 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7685 loss: 0.7685 2022/08/04 23:55:56 - mmengine - INFO - Epoch(train) [168][1580/1879] lr: 1.0000e-04 eta: 19:54:16 time: 0.4285 data_time: 0.0159 memory: 17087 grad_norm: 7.0105 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8923 loss: 0.8923 2022/08/04 23:56:05 - mmengine - INFO - Epoch(train) [168][1600/1879] lr: 1.0000e-04 eta: 19:54:07 time: 0.4299 data_time: 0.0158 memory: 17087 grad_norm: 6.6930 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7696 loss: 0.7696 2022/08/04 23:56:13 - mmengine - INFO - Epoch(train) [168][1620/1879] lr: 1.0000e-04 eta: 19:53:58 time: 0.4342 data_time: 0.0154 memory: 17087 grad_norm: 6.7220 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8419 loss: 0.8419 2022/08/04 23:56:22 - mmengine - INFO - Epoch(train) [168][1640/1879] lr: 1.0000e-04 eta: 19:53:50 time: 0.4324 data_time: 0.0170 memory: 17087 grad_norm: 6.7742 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8174 loss: 0.8174 2022/08/04 23:56:31 - mmengine - INFO - Epoch(train) [168][1660/1879] lr: 1.0000e-04 eta: 19:53:41 time: 0.4346 data_time: 0.0148 memory: 17087 grad_norm: 6.5772 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7690 loss: 0.7690 2022/08/04 23:56:39 - mmengine - INFO - Epoch(train) [168][1680/1879] lr: 1.0000e-04 eta: 19:53:32 time: 0.4293 data_time: 0.0155 memory: 17087 grad_norm: 6.5588 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7630 loss: 0.7630 2022/08/04 23:56:48 - mmengine - INFO - Epoch(train) [168][1700/1879] lr: 1.0000e-04 eta: 19:53:24 time: 0.4319 data_time: 0.0158 memory: 17087 grad_norm: 6.7205 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0275 loss: 1.0275 2022/08/04 23:56:57 - mmengine - INFO - Epoch(train) [168][1720/1879] lr: 1.0000e-04 eta: 19:53:15 time: 0.4284 data_time: 0.0168 memory: 17087 grad_norm: 6.8227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0275 loss: 1.0275 2022/08/04 23:57:05 - mmengine - INFO - Epoch(train) [168][1740/1879] lr: 1.0000e-04 eta: 19:53:06 time: 0.4271 data_time: 0.0136 memory: 17087 grad_norm: 6.9371 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8489 loss: 0.8489 2022/08/04 23:57:14 - mmengine - INFO - Epoch(train) [168][1760/1879] lr: 1.0000e-04 eta: 19:52:58 time: 0.4497 data_time: 0.0155 memory: 17087 grad_norm: 6.5453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7734 loss: 0.7734 2022/08/04 23:57:23 - mmengine - INFO - Epoch(train) [168][1780/1879] lr: 1.0000e-04 eta: 19:52:49 time: 0.4296 data_time: 0.0139 memory: 17087 grad_norm: 6.6286 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8184 loss: 0.8184 2022/08/04 23:57:32 - mmengine - INFO - Epoch(train) [168][1800/1879] lr: 1.0000e-04 eta: 19:52:41 time: 0.4446 data_time: 0.0171 memory: 17087 grad_norm: 6.4951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8491 loss: 0.8491 2022/08/04 23:57:40 - mmengine - INFO - Epoch(train) [168][1820/1879] lr: 1.0000e-04 eta: 19:52:32 time: 0.4279 data_time: 0.0136 memory: 17087 grad_norm: 6.6494 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7115 loss: 0.7115 2022/08/04 23:57:49 - mmengine - INFO - Epoch(train) [168][1840/1879] lr: 1.0000e-04 eta: 19:52:23 time: 0.4459 data_time: 0.0181 memory: 17087 grad_norm: 6.6483 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7676 loss: 0.7676 2022/08/04 23:57:58 - mmengine - INFO - Epoch(train) [168][1860/1879] lr: 1.0000e-04 eta: 19:52:15 time: 0.4291 data_time: 0.0157 memory: 17087 grad_norm: 6.8211 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8951 loss: 0.8951 2022/08/04 23:58:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/04 23:58:06 - mmengine - INFO - Epoch(train) [168][1879/1879] lr: 1.0000e-04 eta: 19:52:15 time: 0.4083 data_time: 0.0142 memory: 17087 grad_norm: 7.3086 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.8112 loss: 0.8112 2022/08/04 23:58:06 - mmengine - INFO - Saving checkpoint at 168 epochs 2022/08/04 23:58:20 - mmengine - INFO - Epoch(train) [169][20/1879] lr: 1.0000e-04 eta: 19:51:54 time: 0.5091 data_time: 0.0948 memory: 17087 grad_norm: 6.9076 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8770 loss: 0.8770 2022/08/04 23:58:29 - mmengine - INFO - Epoch(train) [169][40/1879] lr: 1.0000e-04 eta: 19:51:46 time: 0.4418 data_time: 0.0180 memory: 17087 grad_norm: 6.7017 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8660 loss: 0.8660 2022/08/04 23:58:38 - mmengine - INFO - Epoch(train) [169][60/1879] lr: 1.0000e-04 eta: 19:51:37 time: 0.4285 data_time: 0.0150 memory: 17087 grad_norm: 6.7974 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8365 loss: 0.8365 2022/08/04 23:58:46 - mmengine - INFO - Epoch(train) [169][80/1879] lr: 1.0000e-04 eta: 19:51:28 time: 0.4311 data_time: 0.0166 memory: 17087 grad_norm: 6.6610 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8028 loss: 0.8028 2022/08/04 23:58:55 - mmengine - INFO - Epoch(train) [169][100/1879] lr: 1.0000e-04 eta: 19:51:20 time: 0.4301 data_time: 0.0158 memory: 17087 grad_norm: 6.6803 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9026 loss: 0.9026 2022/08/04 23:59:04 - mmengine - INFO - Epoch(train) [169][120/1879] lr: 1.0000e-04 eta: 19:51:11 time: 0.4371 data_time: 0.0161 memory: 17087 grad_norm: 6.7302 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9056 loss: 0.9056 2022/08/04 23:59:13 - mmengine - INFO - Epoch(train) [169][140/1879] lr: 1.0000e-04 eta: 19:51:03 time: 0.4416 data_time: 0.0167 memory: 17087 grad_norm: 6.9466 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7750 loss: 0.7750 2022/08/04 23:59:21 - mmengine - INFO - Epoch(train) [169][160/1879] lr: 1.0000e-04 eta: 19:50:54 time: 0.4287 data_time: 0.0151 memory: 17087 grad_norm: 6.6184 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7633 loss: 0.7633 2022/08/04 23:59:30 - mmengine - INFO - Epoch(train) [169][180/1879] lr: 1.0000e-04 eta: 19:50:45 time: 0.4555 data_time: 0.0177 memory: 17087 grad_norm: 6.8469 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9013 loss: 0.9013 2022/08/04 23:59:39 - mmengine - INFO - Epoch(train) [169][200/1879] lr: 1.0000e-04 eta: 19:50:37 time: 0.4321 data_time: 0.0196 memory: 17087 grad_norm: 6.7488 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7065 loss: 0.7065 2022/08/04 23:59:48 - mmengine - INFO - Epoch(train) [169][220/1879] lr: 1.0000e-04 eta: 19:50:28 time: 0.4464 data_time: 0.0157 memory: 17087 grad_norm: 6.7182 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7114 loss: 0.7114 2022/08/04 23:59:57 - mmengine - INFO - Epoch(train) [169][240/1879] lr: 1.0000e-04 eta: 19:50:20 time: 0.4334 data_time: 0.0147 memory: 17087 grad_norm: 6.9202 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9743 loss: 0.9743 2022/08/05 00:00:08 - mmengine - INFO - Epoch(train) [169][260/1879] lr: 1.0000e-04 eta: 19:50:12 time: 0.5723 data_time: 0.0190 memory: 17087 grad_norm: 6.8962 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7981 loss: 0.7981 2022/08/05 00:00:17 - mmengine - INFO - Epoch(train) [169][280/1879] lr: 1.0000e-04 eta: 19:50:04 time: 0.4434 data_time: 0.0180 memory: 17087 grad_norm: 6.8551 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6604 loss: 0.6604 2022/08/05 00:00:26 - mmengine - INFO - Epoch(train) [169][300/1879] lr: 1.0000e-04 eta: 19:49:55 time: 0.4292 data_time: 0.0157 memory: 17087 grad_norm: 6.6694 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7559 loss: 0.7559 2022/08/05 00:00:35 - mmengine - INFO - Epoch(train) [169][320/1879] lr: 1.0000e-04 eta: 19:49:47 time: 0.4449 data_time: 0.0162 memory: 17087 grad_norm: 6.9408 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9813 loss: 0.9813 2022/08/05 00:00:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 00:00:43 - mmengine - INFO - Epoch(train) [169][340/1879] lr: 1.0000e-04 eta: 19:49:38 time: 0.4355 data_time: 0.0220 memory: 17087 grad_norm: 6.8093 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8542 loss: 0.8542 2022/08/05 00:00:52 - mmengine - INFO - Epoch(train) [169][360/1879] lr: 1.0000e-04 eta: 19:49:29 time: 0.4313 data_time: 0.0156 memory: 17087 grad_norm: 6.6925 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7876 loss: 0.7876 2022/08/05 00:01:01 - mmengine - INFO - Epoch(train) [169][380/1879] lr: 1.0000e-04 eta: 19:49:21 time: 0.4351 data_time: 0.0178 memory: 17087 grad_norm: 6.7177 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8874 loss: 0.8874 2022/08/05 00:01:09 - mmengine - INFO - Epoch(train) [169][400/1879] lr: 1.0000e-04 eta: 19:49:12 time: 0.4315 data_time: 0.0153 memory: 17087 grad_norm: 6.6346 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7693 loss: 0.7693 2022/08/05 00:01:18 - mmengine - INFO - Epoch(train) [169][420/1879] lr: 1.0000e-04 eta: 19:49:03 time: 0.4301 data_time: 0.0162 memory: 17087 grad_norm: 6.8056 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8671 loss: 0.8671 2022/08/05 00:01:26 - mmengine - INFO - Epoch(train) [169][440/1879] lr: 1.0000e-04 eta: 19:48:55 time: 0.4288 data_time: 0.0159 memory: 17087 grad_norm: 6.7265 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7922 loss: 0.7922 2022/08/05 00:01:35 - mmengine - INFO - Epoch(train) [169][460/1879] lr: 1.0000e-04 eta: 19:48:46 time: 0.4299 data_time: 0.0153 memory: 17087 grad_norm: 6.6609 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7299 loss: 0.7299 2022/08/05 00:01:44 - mmengine - INFO - Epoch(train) [169][480/1879] lr: 1.0000e-04 eta: 19:48:38 time: 0.4426 data_time: 0.0168 memory: 17087 grad_norm: 6.5975 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8783 loss: 0.8783 2022/08/05 00:01:53 - mmengine - INFO - Epoch(train) [169][500/1879] lr: 1.0000e-04 eta: 19:48:29 time: 0.4285 data_time: 0.0144 memory: 17087 grad_norm: 6.6528 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7394 loss: 0.7394 2022/08/05 00:02:01 - mmengine - INFO - Epoch(train) [169][520/1879] lr: 1.0000e-04 eta: 19:48:20 time: 0.4383 data_time: 0.0169 memory: 17087 grad_norm: 6.8308 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9956 loss: 0.9956 2022/08/05 00:02:10 - mmengine - INFO - Epoch(train) [169][540/1879] lr: 1.0000e-04 eta: 19:48:12 time: 0.4413 data_time: 0.0150 memory: 17087 grad_norm: 6.5458 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9363 loss: 0.9363 2022/08/05 00:02:19 - mmengine - INFO - Epoch(train) [169][560/1879] lr: 1.0000e-04 eta: 19:48:03 time: 0.4317 data_time: 0.0168 memory: 17087 grad_norm: 6.8352 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9509 loss: 0.9509 2022/08/05 00:02:27 - mmengine - INFO - Epoch(train) [169][580/1879] lr: 1.0000e-04 eta: 19:47:54 time: 0.4275 data_time: 0.0152 memory: 17087 grad_norm: 6.8623 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9892 loss: 0.9892 2022/08/05 00:02:36 - mmengine - INFO - Epoch(train) [169][600/1879] lr: 1.0000e-04 eta: 19:47:46 time: 0.4306 data_time: 0.0168 memory: 17087 grad_norm: 6.6304 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7462 loss: 0.7462 2022/08/05 00:02:45 - mmengine - INFO - Epoch(train) [169][620/1879] lr: 1.0000e-04 eta: 19:47:37 time: 0.4298 data_time: 0.0142 memory: 17087 grad_norm: 6.7267 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0536 loss: 1.0536 2022/08/05 00:02:53 - mmengine - INFO - Epoch(train) [169][640/1879] lr: 1.0000e-04 eta: 19:47:28 time: 0.4320 data_time: 0.0157 memory: 17087 grad_norm: 6.8643 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8333 loss: 0.8333 2022/08/05 00:03:02 - mmengine - INFO - Epoch(train) [169][660/1879] lr: 1.0000e-04 eta: 19:47:20 time: 0.4543 data_time: 0.0144 memory: 17087 grad_norm: 6.7157 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7669 loss: 0.7669 2022/08/05 00:03:11 - mmengine - INFO - Epoch(train) [169][680/1879] lr: 1.0000e-04 eta: 19:47:11 time: 0.4357 data_time: 0.0163 memory: 17087 grad_norm: 6.7536 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8982 loss: 0.8982 2022/08/05 00:03:20 - mmengine - INFO - Epoch(train) [169][700/1879] lr: 1.0000e-04 eta: 19:47:03 time: 0.4298 data_time: 0.0152 memory: 17087 grad_norm: 6.7783 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8249 loss: 0.8249 2022/08/05 00:03:29 - mmengine - INFO - Epoch(train) [169][720/1879] lr: 1.0000e-04 eta: 19:46:54 time: 0.4476 data_time: 0.0162 memory: 17087 grad_norm: 6.5623 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7498 loss: 0.7498 2022/08/05 00:03:37 - mmengine - INFO - Epoch(train) [169][740/1879] lr: 1.0000e-04 eta: 19:46:45 time: 0.4290 data_time: 0.0137 memory: 17087 grad_norm: 6.9415 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8685 loss: 0.8685 2022/08/05 00:03:46 - mmengine - INFO - Epoch(train) [169][760/1879] lr: 1.0000e-04 eta: 19:46:37 time: 0.4306 data_time: 0.0170 memory: 17087 grad_norm: 6.7853 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9155 loss: 0.9155 2022/08/05 00:03:55 - mmengine - INFO - Epoch(train) [169][780/1879] lr: 1.0000e-04 eta: 19:46:28 time: 0.4447 data_time: 0.0164 memory: 17087 grad_norm: 6.7909 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8211 loss: 0.8211 2022/08/05 00:04:04 - mmengine - INFO - Epoch(train) [169][800/1879] lr: 1.0000e-04 eta: 19:46:20 time: 0.4307 data_time: 0.0161 memory: 17087 grad_norm: 7.0546 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0480 loss: 1.0480 2022/08/05 00:04:12 - mmengine - INFO - Epoch(train) [169][820/1879] lr: 1.0000e-04 eta: 19:46:11 time: 0.4356 data_time: 0.0208 memory: 17087 grad_norm: 6.6488 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7045 loss: 0.7045 2022/08/05 00:04:21 - mmengine - INFO - Epoch(train) [169][840/1879] lr: 1.0000e-04 eta: 19:46:02 time: 0.4296 data_time: 0.0156 memory: 17087 grad_norm: 6.8896 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8288 loss: 0.8288 2022/08/05 00:04:30 - mmengine - INFO - Epoch(train) [169][860/1879] lr: 1.0000e-04 eta: 19:45:54 time: 0.4323 data_time: 0.0161 memory: 17087 grad_norm: 6.9427 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0099 loss: 1.0099 2022/08/05 00:04:38 - mmengine - INFO - Epoch(train) [169][880/1879] lr: 1.0000e-04 eta: 19:45:45 time: 0.4304 data_time: 0.0156 memory: 17087 grad_norm: 6.7670 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6702 loss: 0.6702 2022/08/05 00:04:47 - mmengine - INFO - Epoch(train) [169][900/1879] lr: 1.0000e-04 eta: 19:45:36 time: 0.4293 data_time: 0.0163 memory: 17087 grad_norm: 6.7583 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8929 loss: 0.8929 2022/08/05 00:04:56 - mmengine - INFO - Epoch(train) [169][920/1879] lr: 1.0000e-04 eta: 19:45:28 time: 0.4556 data_time: 0.0165 memory: 17087 grad_norm: 6.6814 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8320 loss: 0.8320 2022/08/05 00:05:05 - mmengine - INFO - Epoch(train) [169][940/1879] lr: 1.0000e-04 eta: 19:45:19 time: 0.4574 data_time: 0.0219 memory: 17087 grad_norm: 6.9908 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8202 loss: 0.8202 2022/08/05 00:05:14 - mmengine - INFO - Epoch(train) [169][960/1879] lr: 1.0000e-04 eta: 19:45:11 time: 0.4297 data_time: 0.0172 memory: 17087 grad_norm: 6.5038 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9354 loss: 0.9354 2022/08/05 00:05:22 - mmengine - INFO - Epoch(train) [169][980/1879] lr: 1.0000e-04 eta: 19:45:02 time: 0.4405 data_time: 0.0226 memory: 17087 grad_norm: 6.7275 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7321 loss: 0.7321 2022/08/05 00:05:31 - mmengine - INFO - Epoch(train) [169][1000/1879] lr: 1.0000e-04 eta: 19:44:54 time: 0.4299 data_time: 0.0160 memory: 17087 grad_norm: 6.8928 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8857 loss: 0.8857 2022/08/05 00:05:40 - mmengine - INFO - Epoch(train) [169][1020/1879] lr: 1.0000e-04 eta: 19:44:45 time: 0.4308 data_time: 0.0171 memory: 17087 grad_norm: 6.7590 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9403 loss: 0.9403 2022/08/05 00:05:48 - mmengine - INFO - Epoch(train) [169][1040/1879] lr: 1.0000e-04 eta: 19:44:36 time: 0.4287 data_time: 0.0156 memory: 17087 grad_norm: 6.6492 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9740 loss: 0.9740 2022/08/05 00:05:57 - mmengine - INFO - Epoch(train) [169][1060/1879] lr: 1.0000e-04 eta: 19:44:27 time: 0.4276 data_time: 0.0145 memory: 17087 grad_norm: 6.6740 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9347 loss: 0.9347 2022/08/05 00:06:06 - mmengine - INFO - Epoch(train) [169][1080/1879] lr: 1.0000e-04 eta: 19:44:19 time: 0.4319 data_time: 0.0173 memory: 17087 grad_norm: 6.4847 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7842 loss: 0.7842 2022/08/05 00:06:14 - mmengine - INFO - Epoch(train) [169][1100/1879] lr: 1.0000e-04 eta: 19:44:10 time: 0.4283 data_time: 0.0139 memory: 17087 grad_norm: 7.0722 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8886 loss: 0.8886 2022/08/05 00:06:23 - mmengine - INFO - Epoch(train) [169][1120/1879] lr: 1.0000e-04 eta: 19:44:01 time: 0.4312 data_time: 0.0171 memory: 17087 grad_norm: 6.8545 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8178 loss: 0.8178 2022/08/05 00:06:31 - mmengine - INFO - Epoch(train) [169][1140/1879] lr: 1.0000e-04 eta: 19:43:53 time: 0.4329 data_time: 0.0138 memory: 17087 grad_norm: 6.8201 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8153 loss: 0.8153 2022/08/05 00:06:40 - mmengine - INFO - Epoch(train) [169][1160/1879] lr: 1.0000e-04 eta: 19:43:44 time: 0.4490 data_time: 0.0180 memory: 17087 grad_norm: 6.6509 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8651 loss: 0.8651 2022/08/05 00:06:49 - mmengine - INFO - Epoch(train) [169][1180/1879] lr: 1.0000e-04 eta: 19:43:36 time: 0.4329 data_time: 0.0166 memory: 17087 grad_norm: 6.5981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8658 loss: 0.8658 2022/08/05 00:06:58 - mmengine - INFO - Epoch(train) [169][1200/1879] lr: 1.0000e-04 eta: 19:43:27 time: 0.4308 data_time: 0.0162 memory: 17087 grad_norm: 6.8722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0616 loss: 1.0616 2022/08/05 00:07:07 - mmengine - INFO - Epoch(train) [169][1220/1879] lr: 1.0000e-04 eta: 19:43:19 time: 0.4548 data_time: 0.0165 memory: 17087 grad_norm: 6.7607 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6564 loss: 0.6564 2022/08/05 00:07:16 - mmengine - INFO - Epoch(train) [169][1240/1879] lr: 1.0000e-04 eta: 19:43:10 time: 0.4293 data_time: 0.0162 memory: 17087 grad_norm: 6.5849 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8971 loss: 0.8971 2022/08/05 00:07:24 - mmengine - INFO - Epoch(train) [169][1260/1879] lr: 1.0000e-04 eta: 19:43:01 time: 0.4451 data_time: 0.0202 memory: 17087 grad_norm: 6.8192 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9069 loss: 0.9069 2022/08/05 00:07:33 - mmengine - INFO - Epoch(train) [169][1280/1879] lr: 1.0000e-04 eta: 19:42:53 time: 0.4462 data_time: 0.0233 memory: 17087 grad_norm: 6.7383 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8866 loss: 0.8866 2022/08/05 00:07:42 - mmengine - INFO - Epoch(train) [169][1300/1879] lr: 1.0000e-04 eta: 19:42:44 time: 0.4532 data_time: 0.0161 memory: 17087 grad_norm: 6.6099 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8431 loss: 0.8431 2022/08/05 00:07:51 - mmengine - INFO - Epoch(train) [169][1320/1879] lr: 1.0000e-04 eta: 19:42:36 time: 0.4311 data_time: 0.0166 memory: 17087 grad_norm: 6.7940 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8550 loss: 0.8550 2022/08/05 00:07:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 00:08:00 - mmengine - INFO - Epoch(train) [169][1340/1879] lr: 1.0000e-04 eta: 19:42:27 time: 0.4670 data_time: 0.0210 memory: 17087 grad_norm: 6.7493 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8852 loss: 0.8852 2022/08/05 00:08:09 - mmengine - INFO - Epoch(train) [169][1360/1879] lr: 1.0000e-04 eta: 19:42:19 time: 0.4310 data_time: 0.0162 memory: 17087 grad_norm: 6.6126 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7926 loss: 0.7926 2022/08/05 00:08:18 - mmengine - INFO - Epoch(train) [169][1380/1879] lr: 1.0000e-04 eta: 19:42:10 time: 0.4323 data_time: 0.0189 memory: 17087 grad_norm: 6.7735 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7743 loss: 0.7743 2022/08/05 00:08:27 - mmengine - INFO - Epoch(train) [169][1400/1879] lr: 1.0000e-04 eta: 19:42:02 time: 0.4501 data_time: 0.0173 memory: 17087 grad_norm: 6.7135 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0084 loss: 1.0084 2022/08/05 00:08:35 - mmengine - INFO - Epoch(train) [169][1420/1879] lr: 1.0000e-04 eta: 19:41:53 time: 0.4295 data_time: 0.0142 memory: 17087 grad_norm: 6.5749 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0174 loss: 1.0174 2022/08/05 00:08:44 - mmengine - INFO - Epoch(train) [169][1440/1879] lr: 1.0000e-04 eta: 19:41:44 time: 0.4362 data_time: 0.0206 memory: 17087 grad_norm: 6.9388 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9940 loss: 0.9940 2022/08/05 00:08:53 - mmengine - INFO - Epoch(train) [169][1460/1879] lr: 1.0000e-04 eta: 19:41:36 time: 0.4272 data_time: 0.0147 memory: 17087 grad_norm: 6.9744 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7982 loss: 0.7982 2022/08/05 00:09:02 - mmengine - INFO - Epoch(train) [169][1480/1879] lr: 1.0000e-04 eta: 19:41:27 time: 0.4487 data_time: 0.0167 memory: 17087 grad_norm: 6.4409 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7741 loss: 0.7741 2022/08/05 00:09:10 - mmengine - INFO - Epoch(train) [169][1500/1879] lr: 1.0000e-04 eta: 19:41:18 time: 0.4284 data_time: 0.0142 memory: 17087 grad_norm: 6.7634 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9010 loss: 0.9010 2022/08/05 00:09:19 - mmengine - INFO - Epoch(train) [169][1520/1879] lr: 1.0000e-04 eta: 19:41:10 time: 0.4380 data_time: 0.0211 memory: 17087 grad_norm: 6.9493 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9727 loss: 0.9727 2022/08/05 00:09:28 - mmengine - INFO - Epoch(train) [169][1540/1879] lr: 1.0000e-04 eta: 19:41:01 time: 0.4283 data_time: 0.0150 memory: 17087 grad_norm: 6.8971 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8899 loss: 0.8899 2022/08/05 00:09:36 - mmengine - INFO - Epoch(train) [169][1560/1879] lr: 1.0000e-04 eta: 19:40:53 time: 0.4311 data_time: 0.0156 memory: 17087 grad_norm: 6.7217 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8848 loss: 0.8848 2022/08/05 00:09:45 - mmengine - INFO - Epoch(train) [169][1580/1879] lr: 1.0000e-04 eta: 19:40:44 time: 0.4292 data_time: 0.0152 memory: 17087 grad_norm: 6.7723 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7821 loss: 0.7821 2022/08/05 00:09:54 - mmengine - INFO - Epoch(train) [169][1600/1879] lr: 1.0000e-04 eta: 19:40:35 time: 0.4357 data_time: 0.0179 memory: 17087 grad_norm: 6.8055 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8364 loss: 0.8364 2022/08/05 00:10:03 - mmengine - INFO - Epoch(train) [169][1620/1879] lr: 1.0000e-04 eta: 19:40:27 time: 0.4499 data_time: 0.0168 memory: 17087 grad_norm: 6.8744 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7658 loss: 0.7658 2022/08/05 00:10:11 - mmengine - INFO - Epoch(train) [169][1640/1879] lr: 1.0000e-04 eta: 19:40:18 time: 0.4305 data_time: 0.0172 memory: 17087 grad_norm: 6.7822 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0346 loss: 1.0346 2022/08/05 00:10:20 - mmengine - INFO - Epoch(train) [169][1660/1879] lr: 1.0000e-04 eta: 19:40:09 time: 0.4348 data_time: 0.0211 memory: 17087 grad_norm: 6.8801 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9038 loss: 0.9038 2022/08/05 00:10:29 - mmengine - INFO - Epoch(train) [169][1680/1879] lr: 1.0000e-04 eta: 19:40:01 time: 0.4319 data_time: 0.0174 memory: 17087 grad_norm: 6.8852 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8257 loss: 0.8257 2022/08/05 00:10:37 - mmengine - INFO - Epoch(train) [169][1700/1879] lr: 1.0000e-04 eta: 19:39:52 time: 0.4291 data_time: 0.0144 memory: 17087 grad_norm: 6.5744 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8007 loss: 0.8007 2022/08/05 00:10:46 - mmengine - INFO - Epoch(train) [169][1720/1879] lr: 1.0000e-04 eta: 19:39:43 time: 0.4344 data_time: 0.0171 memory: 17087 grad_norm: 6.7776 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8342 loss: 0.8342 2022/08/05 00:10:55 - mmengine - INFO - Epoch(train) [169][1740/1879] lr: 1.0000e-04 eta: 19:39:35 time: 0.4304 data_time: 0.0143 memory: 17087 grad_norm: 6.9273 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8798 loss: 0.8798 2022/08/05 00:11:04 - mmengine - INFO - Epoch(train) [169][1760/1879] lr: 1.0000e-04 eta: 19:39:26 time: 0.4569 data_time: 0.0179 memory: 17087 grad_norm: 6.6577 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7845 loss: 0.7845 2022/08/05 00:11:12 - mmengine - INFO - Epoch(train) [169][1780/1879] lr: 1.0000e-04 eta: 19:39:18 time: 0.4286 data_time: 0.0140 memory: 17087 grad_norm: 6.7753 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8833 loss: 0.8833 2022/08/05 00:11:21 - mmengine - INFO - Epoch(train) [169][1800/1879] lr: 1.0000e-04 eta: 19:39:09 time: 0.4564 data_time: 0.0216 memory: 17087 grad_norm: 6.8262 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8128 loss: 0.8128 2022/08/05 00:11:30 - mmengine - INFO - Epoch(train) [169][1820/1879] lr: 1.0000e-04 eta: 19:39:01 time: 0.4279 data_time: 0.0136 memory: 17087 grad_norm: 6.6032 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8135 loss: 0.8135 2022/08/05 00:11:39 - mmengine - INFO - Epoch(train) [169][1840/1879] lr: 1.0000e-04 eta: 19:38:52 time: 0.4590 data_time: 0.0226 memory: 17087 grad_norm: 6.8787 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8217 loss: 0.8217 2022/08/05 00:11:48 - mmengine - INFO - Epoch(train) [169][1860/1879] lr: 1.0000e-04 eta: 19:38:44 time: 0.4290 data_time: 0.0123 memory: 17087 grad_norm: 6.8565 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9174 loss: 0.9174 2022/08/05 00:11:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 00:11:56 - mmengine - INFO - Epoch(train) [169][1879/1879] lr: 1.0000e-04 eta: 19:38:44 time: 0.4099 data_time: 0.0147 memory: 17087 grad_norm: 7.3549 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 1.0412 loss: 1.0412 2022/08/05 00:12:07 - mmengine - INFO - Epoch(train) [170][20/1879] lr: 1.0000e-04 eta: 19:38:24 time: 0.5594 data_time: 0.1115 memory: 17087 grad_norm: 6.7017 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9640 loss: 0.9640 2022/08/05 00:12:16 - mmengine - INFO - Epoch(train) [170][40/1879] lr: 1.0000e-04 eta: 19:38:15 time: 0.4319 data_time: 0.0178 memory: 17087 grad_norm: 6.7739 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0007 loss: 1.0007 2022/08/05 00:12:24 - mmengine - INFO - Epoch(train) [170][60/1879] lr: 1.0000e-04 eta: 19:38:06 time: 0.4399 data_time: 0.0153 memory: 17087 grad_norm: 6.6946 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8741 loss: 0.8741 2022/08/05 00:12:33 - mmengine - INFO - Epoch(train) [170][80/1879] lr: 1.0000e-04 eta: 19:37:58 time: 0.4348 data_time: 0.0199 memory: 17087 grad_norm: 6.6547 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7584 loss: 0.7584 2022/08/05 00:12:42 - mmengine - INFO - Epoch(train) [170][100/1879] lr: 1.0000e-04 eta: 19:37:49 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 6.7812 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8606 loss: 0.8606 2022/08/05 00:12:50 - mmengine - INFO - Epoch(train) [170][120/1879] lr: 1.0000e-04 eta: 19:37:41 time: 0.4322 data_time: 0.0168 memory: 17087 grad_norm: 6.8172 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8801 loss: 0.8801 2022/08/05 00:12:59 - mmengine - INFO - Epoch(train) [170][140/1879] lr: 1.0000e-04 eta: 19:37:32 time: 0.4424 data_time: 0.0173 memory: 17087 grad_norm: 6.7047 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6440 loss: 0.6440 2022/08/05 00:13:08 - mmengine - INFO - Epoch(train) [170][160/1879] lr: 1.0000e-04 eta: 19:37:23 time: 0.4292 data_time: 0.0158 memory: 17087 grad_norm: 6.6884 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8197 loss: 0.8197 2022/08/05 00:13:17 - mmengine - INFO - Epoch(train) [170][180/1879] lr: 1.0000e-04 eta: 19:37:15 time: 0.4333 data_time: 0.0193 memory: 17087 grad_norm: 6.6027 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7532 loss: 0.7532 2022/08/05 00:13:25 - mmengine - INFO - Epoch(train) [170][200/1879] lr: 1.0000e-04 eta: 19:37:06 time: 0.4342 data_time: 0.0170 memory: 17087 grad_norm: 6.8543 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7713 loss: 0.7713 2022/08/05 00:13:34 - mmengine - INFO - Epoch(train) [170][220/1879] lr: 1.0000e-04 eta: 19:36:57 time: 0.4297 data_time: 0.0153 memory: 17087 grad_norm: 6.7095 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8941 loss: 0.8941 2022/08/05 00:13:43 - mmengine - INFO - Epoch(train) [170][240/1879] lr: 1.0000e-04 eta: 19:36:49 time: 0.4507 data_time: 0.0187 memory: 17087 grad_norm: 6.7707 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0039 loss: 1.0039 2022/08/05 00:13:52 - mmengine - INFO - Epoch(train) [170][260/1879] lr: 1.0000e-04 eta: 19:36:40 time: 0.4342 data_time: 0.0189 memory: 17087 grad_norm: 6.6690 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8233 loss: 0.8233 2022/08/05 00:14:01 - mmengine - INFO - Epoch(train) [170][280/1879] lr: 1.0000e-04 eta: 19:36:32 time: 0.4522 data_time: 0.0186 memory: 17087 grad_norm: 6.8590 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8494 loss: 0.8494 2022/08/05 00:14:09 - mmengine - INFO - Epoch(train) [170][300/1879] lr: 1.0000e-04 eta: 19:36:23 time: 0.4320 data_time: 0.0186 memory: 17087 grad_norm: 6.6454 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8093 loss: 0.8093 2022/08/05 00:14:18 - mmengine - INFO - Epoch(train) [170][320/1879] lr: 1.0000e-04 eta: 19:36:14 time: 0.4297 data_time: 0.0161 memory: 17087 grad_norm: 6.7675 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8031 loss: 0.8031 2022/08/05 00:14:27 - mmengine - INFO - Epoch(train) [170][340/1879] lr: 1.0000e-04 eta: 19:36:06 time: 0.4301 data_time: 0.0152 memory: 17087 grad_norm: 6.7622 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8214 loss: 0.8214 2022/08/05 00:14:35 - mmengine - INFO - Epoch(train) [170][360/1879] lr: 1.0000e-04 eta: 19:35:57 time: 0.4304 data_time: 0.0162 memory: 17087 grad_norm: 6.8447 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7399 loss: 0.7399 2022/08/05 00:14:44 - mmengine - INFO - Epoch(train) [170][380/1879] lr: 1.0000e-04 eta: 19:35:48 time: 0.4313 data_time: 0.0157 memory: 17087 grad_norm: 6.6680 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7858 loss: 0.7858 2022/08/05 00:14:53 - mmengine - INFO - Epoch(train) [170][400/1879] lr: 1.0000e-04 eta: 19:35:40 time: 0.4354 data_time: 0.0164 memory: 17087 grad_norm: 7.0892 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8865 loss: 0.8865 2022/08/05 00:15:01 - mmengine - INFO - Epoch(train) [170][420/1879] lr: 1.0000e-04 eta: 19:35:31 time: 0.4301 data_time: 0.0144 memory: 17087 grad_norm: 6.6573 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7829 loss: 0.7829 2022/08/05 00:15:10 - mmengine - INFO - Epoch(train) [170][440/1879] lr: 1.0000e-04 eta: 19:35:23 time: 0.4351 data_time: 0.0194 memory: 17087 grad_norm: 6.8518 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9526 loss: 0.9526 2022/08/05 00:15:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 00:15:18 - mmengine - INFO - Epoch(train) [170][460/1879] lr: 1.0000e-04 eta: 19:35:14 time: 0.4280 data_time: 0.0159 memory: 17087 grad_norm: 6.6239 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7742 loss: 0.7742 2022/08/05 00:15:27 - mmengine - INFO - Epoch(train) [170][480/1879] lr: 1.0000e-04 eta: 19:35:05 time: 0.4291 data_time: 0.0160 memory: 17087 grad_norm: 6.8307 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7153 loss: 0.7153 2022/08/05 00:15:36 - mmengine - INFO - Epoch(train) [170][500/1879] lr: 1.0000e-04 eta: 19:34:56 time: 0.4326 data_time: 0.0158 memory: 17087 grad_norm: 6.8308 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7531 loss: 0.7531 2022/08/05 00:15:44 - mmengine - INFO - Epoch(train) [170][520/1879] lr: 1.0000e-04 eta: 19:34:48 time: 0.4344 data_time: 0.0169 memory: 17087 grad_norm: 6.8603 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8482 loss: 0.8482 2022/08/05 00:15:53 - mmengine - INFO - Epoch(train) [170][540/1879] lr: 1.0000e-04 eta: 19:34:39 time: 0.4311 data_time: 0.0152 memory: 17087 grad_norm: 6.8944 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8659 loss: 0.8659 2022/08/05 00:16:02 - mmengine - INFO - Epoch(train) [170][560/1879] lr: 1.0000e-04 eta: 19:34:31 time: 0.4342 data_time: 0.0190 memory: 17087 grad_norm: 6.8338 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8638 loss: 0.8638 2022/08/05 00:16:10 - mmengine - INFO - Epoch(train) [170][580/1879] lr: 1.0000e-04 eta: 19:34:22 time: 0.4288 data_time: 0.0150 memory: 17087 grad_norm: 6.6479 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7968 loss: 0.7968 2022/08/05 00:16:19 - mmengine - INFO - Epoch(train) [170][600/1879] lr: 1.0000e-04 eta: 19:34:13 time: 0.4351 data_time: 0.0198 memory: 17087 grad_norm: 6.7473 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8130 loss: 0.8130 2022/08/05 00:16:28 - mmengine - INFO - Epoch(train) [170][620/1879] lr: 1.0000e-04 eta: 19:34:05 time: 0.4275 data_time: 0.0135 memory: 17087 grad_norm: 6.7516 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8888 loss: 0.8888 2022/08/05 00:16:36 - mmengine - INFO - Epoch(train) [170][640/1879] lr: 1.0000e-04 eta: 19:33:56 time: 0.4288 data_time: 0.0154 memory: 17087 grad_norm: 6.8424 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7131 loss: 0.7131 2022/08/05 00:16:45 - mmengine - INFO - Epoch(train) [170][660/1879] lr: 1.0000e-04 eta: 19:33:47 time: 0.4411 data_time: 0.0168 memory: 17087 grad_norm: 6.7233 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9728 loss: 0.9728 2022/08/05 00:16:54 - mmengine - INFO - Epoch(train) [170][680/1879] lr: 1.0000e-04 eta: 19:33:39 time: 0.4508 data_time: 0.0189 memory: 17087 grad_norm: 6.6173 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8577 loss: 0.8577 2022/08/05 00:17:03 - mmengine - INFO - Epoch(train) [170][700/1879] lr: 1.0000e-04 eta: 19:33:30 time: 0.4334 data_time: 0.0164 memory: 17087 grad_norm: 6.3416 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8872 loss: 0.8872 2022/08/05 00:17:11 - mmengine - INFO - Epoch(train) [170][720/1879] lr: 1.0000e-04 eta: 19:33:21 time: 0.4291 data_time: 0.0158 memory: 17087 grad_norm: 6.8303 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9196 loss: 0.9196 2022/08/05 00:17:20 - mmengine - INFO - Epoch(train) [170][740/1879] lr: 1.0000e-04 eta: 19:33:13 time: 0.4444 data_time: 0.0190 memory: 17087 grad_norm: 6.7583 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8149 loss: 0.8149 2022/08/05 00:17:29 - mmengine - INFO - Epoch(train) [170][760/1879] lr: 1.0000e-04 eta: 19:33:04 time: 0.4318 data_time: 0.0162 memory: 17087 grad_norm: 6.6016 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7530 loss: 0.7530 2022/08/05 00:17:38 - mmengine - INFO - Epoch(train) [170][780/1879] lr: 1.0000e-04 eta: 19:32:56 time: 0.4290 data_time: 0.0153 memory: 17087 grad_norm: 7.0806 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8167 loss: 0.8167 2022/08/05 00:17:46 - mmengine - INFO - Epoch(train) [170][800/1879] lr: 1.0000e-04 eta: 19:32:47 time: 0.4343 data_time: 0.0161 memory: 17087 grad_norm: 6.5613 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8776 loss: 0.8776 2022/08/05 00:17:55 - mmengine - INFO - Epoch(train) [170][820/1879] lr: 1.0000e-04 eta: 19:32:38 time: 0.4304 data_time: 0.0148 memory: 17087 grad_norm: 6.8185 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7521 loss: 0.7521 2022/08/05 00:18:04 - mmengine - INFO - Epoch(train) [170][840/1879] lr: 1.0000e-04 eta: 19:32:30 time: 0.4405 data_time: 0.0189 memory: 17087 grad_norm: 6.5776 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8161 loss: 0.8161 2022/08/05 00:18:12 - mmengine - INFO - Epoch(train) [170][860/1879] lr: 1.0000e-04 eta: 19:32:21 time: 0.4295 data_time: 0.0143 memory: 17087 grad_norm: 6.7638 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7679 loss: 0.7679 2022/08/05 00:18:21 - mmengine - INFO - Epoch(train) [170][880/1879] lr: 1.0000e-04 eta: 19:32:12 time: 0.4315 data_time: 0.0167 memory: 17087 grad_norm: 6.9979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9950 loss: 0.9950 2022/08/05 00:18:30 - mmengine - INFO - Epoch(train) [170][900/1879] lr: 1.0000e-04 eta: 19:32:04 time: 0.4387 data_time: 0.0147 memory: 17087 grad_norm: 7.0003 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8106 loss: 0.8106 2022/08/05 00:18:38 - mmengine - INFO - Epoch(train) [170][920/1879] lr: 1.0000e-04 eta: 19:31:55 time: 0.4318 data_time: 0.0172 memory: 17087 grad_norm: 6.7773 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9388 loss: 0.9388 2022/08/05 00:18:47 - mmengine - INFO - Epoch(train) [170][940/1879] lr: 1.0000e-04 eta: 19:31:46 time: 0.4334 data_time: 0.0155 memory: 17087 grad_norm: 6.8295 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7931 loss: 0.7931 2022/08/05 00:18:56 - mmengine - INFO - Epoch(train) [170][960/1879] lr: 1.0000e-04 eta: 19:31:38 time: 0.4301 data_time: 0.0158 memory: 17087 grad_norm: 7.0785 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9832 loss: 0.9832 2022/08/05 00:19:05 - mmengine - INFO - Epoch(train) [170][980/1879] lr: 1.0000e-04 eta: 19:31:29 time: 0.4543 data_time: 0.0168 memory: 17087 grad_norm: 6.6490 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8204 loss: 0.8204 2022/08/05 00:19:14 - mmengine - INFO - Epoch(train) [170][1000/1879] lr: 1.0000e-04 eta: 19:31:21 time: 0.4444 data_time: 0.0215 memory: 17087 grad_norm: 6.5613 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7493 loss: 0.7493 2022/08/05 00:19:23 - mmengine - INFO - Epoch(train) [170][1020/1879] lr: 1.0000e-04 eta: 19:31:12 time: 0.4561 data_time: 0.0154 memory: 17087 grad_norm: 6.8551 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7634 loss: 0.7634 2022/08/05 00:19:32 - mmengine - INFO - Epoch(train) [170][1040/1879] lr: 1.0000e-04 eta: 19:31:04 time: 0.4349 data_time: 0.0205 memory: 17087 grad_norm: 6.9813 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9029 loss: 0.9029 2022/08/05 00:19:40 - mmengine - INFO - Epoch(train) [170][1060/1879] lr: 1.0000e-04 eta: 19:30:55 time: 0.4322 data_time: 0.0149 memory: 17087 grad_norm: 7.0252 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8809 loss: 0.8809 2022/08/05 00:19:49 - mmengine - INFO - Epoch(train) [170][1080/1879] lr: 1.0000e-04 eta: 19:30:46 time: 0.4288 data_time: 0.0154 memory: 17087 grad_norm: 6.7282 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8774 loss: 0.8774 2022/08/05 00:19:57 - mmengine - INFO - Epoch(train) [170][1100/1879] lr: 1.0000e-04 eta: 19:30:38 time: 0.4287 data_time: 0.0150 memory: 17087 grad_norm: 6.4807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8992 loss: 0.8992 2022/08/05 00:20:07 - mmengine - INFO - Epoch(train) [170][1120/1879] lr: 1.0000e-04 eta: 19:30:29 time: 0.4549 data_time: 0.0178 memory: 17087 grad_norm: 6.6804 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9450 loss: 0.9450 2022/08/05 00:20:15 - mmengine - INFO - Epoch(train) [170][1140/1879] lr: 1.0000e-04 eta: 19:30:21 time: 0.4332 data_time: 0.0190 memory: 17087 grad_norm: 7.0065 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0464 loss: 1.0464 2022/08/05 00:20:24 - mmengine - INFO - Epoch(train) [170][1160/1879] lr: 1.0000e-04 eta: 19:30:12 time: 0.4427 data_time: 0.0170 memory: 17087 grad_norm: 6.7010 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9612 loss: 0.9612 2022/08/05 00:20:33 - mmengine - INFO - Epoch(train) [170][1180/1879] lr: 1.0000e-04 eta: 19:30:03 time: 0.4317 data_time: 0.0170 memory: 17087 grad_norm: 6.7589 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8861 loss: 0.8861 2022/08/05 00:20:42 - mmengine - INFO - Epoch(train) [170][1200/1879] lr: 1.0000e-04 eta: 19:29:55 time: 0.4492 data_time: 0.0163 memory: 17087 grad_norm: 6.7817 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7282 loss: 0.7282 2022/08/05 00:20:50 - mmengine - INFO - Epoch(train) [170][1220/1879] lr: 1.0000e-04 eta: 19:29:46 time: 0.4307 data_time: 0.0161 memory: 17087 grad_norm: 6.8798 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7946 loss: 0.7946 2022/08/05 00:20:59 - mmengine - INFO - Epoch(train) [170][1240/1879] lr: 1.0000e-04 eta: 19:29:38 time: 0.4294 data_time: 0.0160 memory: 17087 grad_norm: 6.5327 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8242 loss: 0.8242 2022/08/05 00:21:08 - mmengine - INFO - Epoch(train) [170][1260/1879] lr: 1.0000e-04 eta: 19:29:29 time: 0.4286 data_time: 0.0150 memory: 17087 grad_norm: 6.7801 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7829 loss: 0.7829 2022/08/05 00:21:16 - mmengine - INFO - Epoch(train) [170][1280/1879] lr: 1.0000e-04 eta: 19:29:20 time: 0.4313 data_time: 0.0174 memory: 17087 grad_norm: 6.6918 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8817 loss: 0.8817 2022/08/05 00:21:25 - mmengine - INFO - Epoch(train) [170][1300/1879] lr: 1.0000e-04 eta: 19:29:12 time: 0.4363 data_time: 0.0148 memory: 17087 grad_norm: 6.5296 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8939 loss: 0.8939 2022/08/05 00:21:34 - mmengine - INFO - Epoch(train) [170][1320/1879] lr: 1.0000e-04 eta: 19:29:03 time: 0.4309 data_time: 0.0161 memory: 17087 grad_norm: 6.6570 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9419 loss: 0.9419 2022/08/05 00:21:42 - mmengine - INFO - Epoch(train) [170][1340/1879] lr: 1.0000e-04 eta: 19:28:54 time: 0.4363 data_time: 0.0160 memory: 17087 grad_norm: 6.5648 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8569 loss: 0.8569 2022/08/05 00:21:51 - mmengine - INFO - Epoch(train) [170][1360/1879] lr: 1.0000e-04 eta: 19:28:46 time: 0.4309 data_time: 0.0168 memory: 17087 grad_norm: 6.8583 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7112 loss: 0.7112 2022/08/05 00:22:00 - mmengine - INFO - Epoch(train) [170][1380/1879] lr: 1.0000e-04 eta: 19:28:37 time: 0.4319 data_time: 0.0126 memory: 17087 grad_norm: 6.7635 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8493 loss: 0.8493 2022/08/05 00:22:08 - mmengine - INFO - Epoch(train) [170][1400/1879] lr: 1.0000e-04 eta: 19:28:28 time: 0.4308 data_time: 0.0184 memory: 17087 grad_norm: 6.9862 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9605 loss: 0.9605 2022/08/05 00:22:17 - mmengine - INFO - Epoch(train) [170][1420/1879] lr: 1.0000e-04 eta: 19:28:20 time: 0.4284 data_time: 0.0137 memory: 17087 grad_norm: 7.0524 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8981 loss: 0.8981 2022/08/05 00:22:26 - mmengine - INFO - Epoch(train) [170][1440/1879] lr: 1.0000e-04 eta: 19:28:11 time: 0.4437 data_time: 0.0168 memory: 17087 grad_norm: 6.7689 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8531 loss: 0.8531 2022/08/05 00:22:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 00:22:34 - mmengine - INFO - Epoch(train) [170][1460/1879] lr: 1.0000e-04 eta: 19:28:02 time: 0.4284 data_time: 0.0132 memory: 17087 grad_norm: 7.0328 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9216 loss: 0.9216 2022/08/05 00:22:43 - mmengine - INFO - Epoch(train) [170][1480/1879] lr: 1.0000e-04 eta: 19:27:54 time: 0.4307 data_time: 0.0174 memory: 17087 grad_norm: 6.7492 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8254 loss: 0.8254 2022/08/05 00:22:52 - mmengine - INFO - Epoch(train) [170][1500/1879] lr: 1.0000e-04 eta: 19:27:45 time: 0.4402 data_time: 0.0151 memory: 17087 grad_norm: 6.7037 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7345 loss: 0.7345 2022/08/05 00:23:01 - mmengine - INFO - Epoch(train) [170][1520/1879] lr: 1.0000e-04 eta: 19:27:37 time: 0.4311 data_time: 0.0167 memory: 17087 grad_norm: 6.6532 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8429 loss: 0.8429 2022/08/05 00:23:09 - mmengine - INFO - Epoch(train) [170][1540/1879] lr: 1.0000e-04 eta: 19:27:28 time: 0.4294 data_time: 0.0151 memory: 17087 grad_norm: 6.8099 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8834 loss: 0.8834 2022/08/05 00:23:18 - mmengine - INFO - Epoch(train) [170][1560/1879] lr: 1.0000e-04 eta: 19:27:20 time: 0.4637 data_time: 0.0176 memory: 17087 grad_norm: 6.9989 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9316 loss: 0.9316 2022/08/05 00:23:27 - mmengine - INFO - Epoch(train) [170][1580/1879] lr: 1.0000e-04 eta: 19:27:11 time: 0.4294 data_time: 0.0148 memory: 17087 grad_norm: 6.7473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7397 loss: 0.7397 2022/08/05 00:23:36 - mmengine - INFO - Epoch(train) [170][1600/1879] lr: 1.0000e-04 eta: 19:27:02 time: 0.4357 data_time: 0.0228 memory: 17087 grad_norm: 6.5923 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7258 loss: 0.7258 2022/08/05 00:23:44 - mmengine - INFO - Epoch(train) [170][1620/1879] lr: 1.0000e-04 eta: 19:26:54 time: 0.4271 data_time: 0.0131 memory: 17087 grad_norm: 6.7407 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7952 loss: 0.7952 2022/08/05 00:23:54 - mmengine - INFO - Epoch(train) [170][1640/1879] lr: 1.0000e-04 eta: 19:26:45 time: 0.4664 data_time: 0.0179 memory: 17087 grad_norm: 6.7649 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7806 loss: 0.7806 2022/08/05 00:24:02 - mmengine - INFO - Epoch(train) [170][1660/1879] lr: 1.0000e-04 eta: 19:26:37 time: 0.4297 data_time: 0.0149 memory: 17087 grad_norm: 6.9085 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9414 loss: 0.9414 2022/08/05 00:24:12 - mmengine - INFO - Epoch(train) [170][1680/1879] lr: 1.0000e-04 eta: 19:26:28 time: 0.4736 data_time: 0.0242 memory: 17087 grad_norm: 6.6521 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0030 loss: 1.0030 2022/08/05 00:24:20 - mmengine - INFO - Epoch(train) [170][1700/1879] lr: 1.0000e-04 eta: 19:26:20 time: 0.4275 data_time: 0.0127 memory: 17087 grad_norm: 6.6136 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8880 loss: 0.8880 2022/08/05 00:24:29 - mmengine - INFO - Epoch(train) [170][1720/1879] lr: 1.0000e-04 eta: 19:26:11 time: 0.4334 data_time: 0.0201 memory: 17087 grad_norm: 6.6757 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9275 loss: 0.9275 2022/08/05 00:24:38 - mmengine - INFO - Epoch(train) [170][1740/1879] lr: 1.0000e-04 eta: 19:26:02 time: 0.4347 data_time: 0.0166 memory: 17087 grad_norm: 6.9065 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8719 loss: 0.8719 2022/08/05 00:24:46 - mmengine - INFO - Epoch(train) [170][1760/1879] lr: 1.0000e-04 eta: 19:25:54 time: 0.4281 data_time: 0.0152 memory: 17087 grad_norm: 6.7079 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9116 loss: 0.9116 2022/08/05 00:24:55 - mmengine - INFO - Epoch(train) [170][1780/1879] lr: 1.0000e-04 eta: 19:25:45 time: 0.4544 data_time: 0.0162 memory: 17087 grad_norm: 6.6171 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7717 loss: 0.7717 2022/08/05 00:25:04 - mmengine - INFO - Epoch(train) [170][1800/1879] lr: 1.0000e-04 eta: 19:25:37 time: 0.4298 data_time: 0.0170 memory: 17087 grad_norm: 6.8774 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.1196 loss: 1.1196 2022/08/05 00:25:13 - mmengine - INFO - Epoch(train) [170][1820/1879] lr: 1.0000e-04 eta: 19:25:28 time: 0.4329 data_time: 0.0171 memory: 17087 grad_norm: 6.8021 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0233 loss: 1.0233 2022/08/05 00:25:21 - mmengine - INFO - Epoch(train) [170][1840/1879] lr: 1.0000e-04 eta: 19:25:19 time: 0.4301 data_time: 0.0152 memory: 17087 grad_norm: 6.8064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9444 loss: 0.9444 2022/08/05 00:25:30 - mmengine - INFO - Epoch(train) [170][1860/1879] lr: 1.0000e-04 eta: 19:25:11 time: 0.4287 data_time: 0.0161 memory: 17087 grad_norm: 6.9413 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7507 loss: 0.7507 2022/08/05 00:25:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 00:25:38 - mmengine - INFO - Epoch(train) [170][1879/1879] lr: 1.0000e-04 eta: 19:25:11 time: 0.4117 data_time: 0.0157 memory: 17087 grad_norm: 6.8796 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.7830 loss: 0.7830 2022/08/05 00:25:45 - mmengine - INFO - Epoch(val) [170][20/155] eta: 0:00:50 time: 0.3736 data_time: 0.2045 memory: 2821 2022/08/05 00:25:50 - mmengine - INFO - Epoch(val) [170][40/155] eta: 0:00:28 time: 0.2447 data_time: 0.0742 memory: 2821 2022/08/05 00:25:56 - mmengine - INFO - Epoch(val) [170][60/155] eta: 0:00:29 time: 0.3103 data_time: 0.1427 memory: 2821 2022/08/05 00:26:02 - mmengine - INFO - Epoch(val) [170][80/155] eta: 0:00:19 time: 0.2625 data_time: 0.0905 memory: 2821 2022/08/05 00:26:08 - mmengine - INFO - Epoch(val) [170][100/155] eta: 0:00:16 time: 0.3040 data_time: 0.1351 memory: 2821 2022/08/05 00:26:13 - mmengine - INFO - Epoch(val) [170][120/155] eta: 0:00:09 time: 0.2727 data_time: 0.0931 memory: 2821 2022/08/05 00:26:19 - mmengine - INFO - Epoch(val) [170][140/155] eta: 0:00:04 time: 0.3086 data_time: 0.1388 memory: 2821 2022/08/05 00:26:24 - mmengine - INFO - Epoch(val) [170][155/155] acc/top1: 0.6992 acc/top5: 0.8822 acc/mean1: 0.6991 2022/08/05 00:26:24 - mmengine - INFO - The previous best checkpoint /mnt/lustre/hukai/action/work_dirs/slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb/best_acc/top1_epoch_156.pth is removed 2022/08/05 00:26:27 - mmengine - INFO - The best checkpoint with 0.6992 acc/top1 at 171 epoch is saved to best_acc/top1_epoch_171.pth. 2022/08/05 00:26:38 - mmengine - INFO - Epoch(train) [171][20/1879] lr: 1.0000e-04 eta: 19:24:50 time: 0.5275 data_time: 0.1105 memory: 17087 grad_norm: 7.0280 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8724 loss: 0.8724 2022/08/05 00:26:47 - mmengine - INFO - Epoch(train) [171][40/1879] lr: 1.0000e-04 eta: 19:24:42 time: 0.4463 data_time: 0.0249 memory: 17087 grad_norm: 6.8307 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9473 loss: 0.9473 2022/08/05 00:26:56 - mmengine - INFO - Epoch(train) [171][60/1879] lr: 1.0000e-04 eta: 19:24:33 time: 0.4500 data_time: 0.0139 memory: 17087 grad_norm: 6.7310 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8793 loss: 0.8793 2022/08/05 00:27:04 - mmengine - INFO - Epoch(train) [171][80/1879] lr: 1.0000e-04 eta: 19:24:25 time: 0.4288 data_time: 0.0169 memory: 17087 grad_norm: 6.6151 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8662 loss: 0.8662 2022/08/05 00:27:13 - mmengine - INFO - Epoch(train) [171][100/1879] lr: 1.0000e-04 eta: 19:24:16 time: 0.4326 data_time: 0.0167 memory: 17087 grad_norm: 6.5838 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8471 loss: 0.8471 2022/08/05 00:27:22 - mmengine - INFO - Epoch(train) [171][120/1879] lr: 1.0000e-04 eta: 19:24:07 time: 0.4315 data_time: 0.0173 memory: 17087 grad_norm: 6.7120 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6403 loss: 0.6403 2022/08/05 00:27:31 - mmengine - INFO - Epoch(train) [171][140/1879] lr: 1.0000e-04 eta: 19:23:59 time: 0.4374 data_time: 0.0212 memory: 17087 grad_norm: 6.9295 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8478 loss: 0.8478 2022/08/05 00:27:39 - mmengine - INFO - Epoch(train) [171][160/1879] lr: 1.0000e-04 eta: 19:23:50 time: 0.4292 data_time: 0.0172 memory: 17087 grad_norm: 6.5972 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7573 loss: 0.7573 2022/08/05 00:27:48 - mmengine - INFO - Epoch(train) [171][180/1879] lr: 1.0000e-04 eta: 19:23:41 time: 0.4302 data_time: 0.0133 memory: 17087 grad_norm: 6.7451 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9348 loss: 0.9348 2022/08/05 00:27:57 - mmengine - INFO - Epoch(train) [171][200/1879] lr: 1.0000e-04 eta: 19:23:33 time: 0.4428 data_time: 0.0182 memory: 17087 grad_norm: 6.5115 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7564 loss: 0.7564 2022/08/05 00:28:05 - mmengine - INFO - Epoch(train) [171][220/1879] lr: 1.0000e-04 eta: 19:23:24 time: 0.4355 data_time: 0.0200 memory: 17087 grad_norm: 6.7979 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7538 loss: 0.7538 2022/08/05 00:28:14 - mmengine - INFO - Epoch(train) [171][240/1879] lr: 1.0000e-04 eta: 19:23:16 time: 0.4368 data_time: 0.0176 memory: 17087 grad_norm: 7.0808 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8518 loss: 0.8518 2022/08/05 00:28:23 - mmengine - INFO - Epoch(train) [171][260/1879] lr: 1.0000e-04 eta: 19:23:07 time: 0.4297 data_time: 0.0143 memory: 17087 grad_norm: 6.6136 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8135 loss: 0.8135 2022/08/05 00:28:32 - mmengine - INFO - Epoch(train) [171][280/1879] lr: 1.0000e-04 eta: 19:22:59 time: 0.4541 data_time: 0.0176 memory: 17087 grad_norm: 6.6226 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7431 loss: 0.7431 2022/08/05 00:28:40 - mmengine - INFO - Epoch(train) [171][300/1879] lr: 1.0000e-04 eta: 19:22:50 time: 0.4304 data_time: 0.0164 memory: 17087 grad_norm: 6.9524 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8609 loss: 0.8609 2022/08/05 00:28:49 - mmengine - INFO - Epoch(train) [171][320/1879] lr: 1.0000e-04 eta: 19:22:41 time: 0.4429 data_time: 0.0231 memory: 17087 grad_norm: 6.8140 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8502 loss: 0.8502 2022/08/05 00:28:58 - mmengine - INFO - Epoch(train) [171][340/1879] lr: 1.0000e-04 eta: 19:22:33 time: 0.4273 data_time: 0.0138 memory: 17087 grad_norm: 6.8277 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8694 loss: 0.8694 2022/08/05 00:29:07 - mmengine - INFO - Epoch(train) [171][360/1879] lr: 1.0000e-04 eta: 19:22:24 time: 0.4372 data_time: 0.0167 memory: 17087 grad_norm: 6.8545 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9186 loss: 0.9186 2022/08/05 00:29:15 - mmengine - INFO - Epoch(train) [171][380/1879] lr: 1.0000e-04 eta: 19:22:15 time: 0.4321 data_time: 0.0177 memory: 17087 grad_norm: 6.9934 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8562 loss: 0.8562 2022/08/05 00:29:24 - mmengine - INFO - Epoch(train) [171][400/1879] lr: 1.0000e-04 eta: 19:22:07 time: 0.4379 data_time: 0.0162 memory: 17087 grad_norm: 6.9382 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8058 loss: 0.8058 2022/08/05 00:29:33 - mmengine - INFO - Epoch(train) [171][420/1879] lr: 1.0000e-04 eta: 19:21:58 time: 0.4285 data_time: 0.0133 memory: 17087 grad_norm: 6.7070 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7443 loss: 0.7443 2022/08/05 00:29:41 - mmengine - INFO - Epoch(train) [171][440/1879] lr: 1.0000e-04 eta: 19:21:49 time: 0.4314 data_time: 0.0165 memory: 17087 grad_norm: 6.8599 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9021 loss: 0.9021 2022/08/05 00:29:50 - mmengine - INFO - Epoch(train) [171][460/1879] lr: 1.0000e-04 eta: 19:21:41 time: 0.4285 data_time: 0.0140 memory: 17087 grad_norm: 6.6906 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8160 loss: 0.8160 2022/08/05 00:29:59 - mmengine - INFO - Epoch(train) [171][480/1879] lr: 1.0000e-04 eta: 19:21:32 time: 0.4376 data_time: 0.0200 memory: 17087 grad_norm: 6.6505 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7948 loss: 0.7948 2022/08/05 00:30:07 - mmengine - INFO - Epoch(train) [171][500/1879] lr: 1.0000e-04 eta: 19:21:23 time: 0.4285 data_time: 0.0139 memory: 17087 grad_norm: 6.6358 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8186 loss: 0.8186 2022/08/05 00:30:16 - mmengine - INFO - Epoch(train) [171][520/1879] lr: 1.0000e-04 eta: 19:21:15 time: 0.4330 data_time: 0.0181 memory: 17087 grad_norm: 6.7756 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6900 loss: 0.6900 2022/08/05 00:30:25 - mmengine - INFO - Epoch(train) [171][540/1879] lr: 1.0000e-04 eta: 19:21:06 time: 0.4313 data_time: 0.0169 memory: 17087 grad_norm: 6.5760 top1_acc: 0.4375 top5_acc: 0.6250 loss_cls: 0.8949 loss: 0.8949 2022/08/05 00:30:33 - mmengine - INFO - Epoch(train) [171][560/1879] lr: 1.0000e-04 eta: 19:20:58 time: 0.4325 data_time: 0.0159 memory: 17087 grad_norm: 6.8205 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8342 loss: 0.8342 2022/08/05 00:30:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 00:30:42 - mmengine - INFO - Epoch(train) [171][580/1879] lr: 1.0000e-04 eta: 19:20:49 time: 0.4309 data_time: 0.0158 memory: 17087 grad_norm: 6.6815 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9658 loss: 0.9658 2022/08/05 00:30:51 - mmengine - INFO - Epoch(train) [171][600/1879] lr: 1.0000e-04 eta: 19:20:40 time: 0.4451 data_time: 0.0160 memory: 17087 grad_norm: 6.9487 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0433 loss: 1.0433 2022/08/05 00:30:59 - mmengine - INFO - Epoch(train) [171][620/1879] lr: 1.0000e-04 eta: 19:20:32 time: 0.4284 data_time: 0.0150 memory: 17087 grad_norm: 6.6243 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7809 loss: 0.7809 2022/08/05 00:31:08 - mmengine - INFO - Epoch(train) [171][640/1879] lr: 1.0000e-04 eta: 19:20:23 time: 0.4365 data_time: 0.0164 memory: 17087 grad_norm: 6.7425 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9563 loss: 0.9563 2022/08/05 00:31:17 - mmengine - INFO - Epoch(train) [171][660/1879] lr: 1.0000e-04 eta: 19:20:14 time: 0.4434 data_time: 0.0145 memory: 17087 grad_norm: 6.9507 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7549 loss: 0.7549 2022/08/05 00:31:26 - mmengine - INFO - Epoch(train) [171][680/1879] lr: 1.0000e-04 eta: 19:20:06 time: 0.4306 data_time: 0.0175 memory: 17087 grad_norm: 6.8589 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9780 loss: 0.9780 2022/08/05 00:31:34 - mmengine - INFO - Epoch(train) [171][700/1879] lr: 1.0000e-04 eta: 19:19:57 time: 0.4291 data_time: 0.0152 memory: 17087 grad_norm: 6.4235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8093 loss: 0.8093 2022/08/05 00:31:43 - mmengine - INFO - Epoch(train) [171][720/1879] lr: 1.0000e-04 eta: 19:19:49 time: 0.4516 data_time: 0.0182 memory: 17087 grad_norm: 6.8783 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7451 loss: 0.7451 2022/08/05 00:31:52 - mmengine - INFO - Epoch(train) [171][740/1879] lr: 1.0000e-04 eta: 19:19:40 time: 0.4338 data_time: 0.0190 memory: 17087 grad_norm: 6.8164 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9035 loss: 0.9035 2022/08/05 00:32:01 - mmengine - INFO - Epoch(train) [171][760/1879] lr: 1.0000e-04 eta: 19:19:31 time: 0.4324 data_time: 0.0149 memory: 17087 grad_norm: 6.8572 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8266 loss: 0.8266 2022/08/05 00:32:09 - mmengine - INFO - Epoch(train) [171][780/1879] lr: 1.0000e-04 eta: 19:19:23 time: 0.4276 data_time: 0.0136 memory: 17087 grad_norm: 6.7539 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8930 loss: 0.8930 2022/08/05 00:32:18 - mmengine - INFO - Epoch(train) [171][800/1879] lr: 1.0000e-04 eta: 19:19:14 time: 0.4276 data_time: 0.0156 memory: 17087 grad_norm: 6.8152 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7819 loss: 0.7819 2022/08/05 00:32:27 - mmengine - INFO - Epoch(train) [171][820/1879] lr: 1.0000e-04 eta: 19:19:06 time: 0.4533 data_time: 0.0153 memory: 17087 grad_norm: 6.6080 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0277 loss: 1.0277 2022/08/05 00:32:36 - mmengine - INFO - Epoch(train) [171][840/1879] lr: 1.0000e-04 eta: 19:18:57 time: 0.4310 data_time: 0.0170 memory: 17087 grad_norm: 6.8267 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8158 loss: 0.8158 2022/08/05 00:32:44 - mmengine - INFO - Epoch(train) [171][860/1879] lr: 1.0000e-04 eta: 19:18:48 time: 0.4399 data_time: 0.0153 memory: 17087 grad_norm: 6.7747 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9073 loss: 0.9073 2022/08/05 00:32:53 - mmengine - INFO - Epoch(train) [171][880/1879] lr: 1.0000e-04 eta: 19:18:40 time: 0.4301 data_time: 0.0156 memory: 17087 grad_norm: 6.7581 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8329 loss: 0.8329 2022/08/05 00:33:02 - mmengine - INFO - Epoch(train) [171][900/1879] lr: 1.0000e-04 eta: 19:18:31 time: 0.4307 data_time: 0.0166 memory: 17087 grad_norm: 6.9008 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0253 loss: 1.0253 2022/08/05 00:33:10 - mmengine - INFO - Epoch(train) [171][920/1879] lr: 1.0000e-04 eta: 19:18:22 time: 0.4298 data_time: 0.0151 memory: 17087 grad_norm: 6.6518 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9077 loss: 0.9077 2022/08/05 00:33:19 - mmengine - INFO - Epoch(train) [171][940/1879] lr: 1.0000e-04 eta: 19:18:14 time: 0.4342 data_time: 0.0158 memory: 17087 grad_norm: 6.9844 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8733 loss: 0.8733 2022/08/05 00:33:28 - mmengine - INFO - Epoch(train) [171][960/1879] lr: 1.0000e-04 eta: 19:18:05 time: 0.4297 data_time: 0.0162 memory: 17087 grad_norm: 6.8290 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7165 loss: 0.7165 2022/08/05 00:33:37 - mmengine - INFO - Epoch(train) [171][980/1879] lr: 1.0000e-04 eta: 19:17:57 time: 0.4565 data_time: 0.0181 memory: 17087 grad_norm: 7.1529 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8223 loss: 0.8223 2022/08/05 00:33:45 - mmengine - INFO - Epoch(train) [171][1000/1879] lr: 1.0000e-04 eta: 19:17:48 time: 0.4296 data_time: 0.0157 memory: 17087 grad_norm: 6.8613 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8215 loss: 0.8215 2022/08/05 00:33:55 - mmengine - INFO - Epoch(train) [171][1020/1879] lr: 1.0000e-04 eta: 19:17:40 time: 0.4650 data_time: 0.0211 memory: 17087 grad_norm: 6.7147 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7853 loss: 0.7853 2022/08/05 00:34:03 - mmengine - INFO - Epoch(train) [171][1040/1879] lr: 1.0000e-04 eta: 19:17:31 time: 0.4306 data_time: 0.0167 memory: 17087 grad_norm: 6.2901 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7882 loss: 0.7882 2022/08/05 00:34:12 - mmengine - INFO - Epoch(train) [171][1060/1879] lr: 1.0000e-04 eta: 19:17:22 time: 0.4547 data_time: 0.0218 memory: 17087 grad_norm: 6.6852 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7400 loss: 0.7400 2022/08/05 00:34:21 - mmengine - INFO - Epoch(train) [171][1080/1879] lr: 1.0000e-04 eta: 19:17:14 time: 0.4290 data_time: 0.0164 memory: 17087 grad_norm: 6.8119 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7876 loss: 0.7876 2022/08/05 00:34:30 - mmengine - INFO - Epoch(train) [171][1100/1879] lr: 1.0000e-04 eta: 19:17:05 time: 0.4340 data_time: 0.0196 memory: 17087 grad_norm: 6.7129 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.6568 loss: 0.6568 2022/08/05 00:34:38 - mmengine - INFO - Epoch(train) [171][1120/1879] lr: 1.0000e-04 eta: 19:16:57 time: 0.4401 data_time: 0.0175 memory: 17087 grad_norm: 6.8041 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8388 loss: 0.8388 2022/08/05 00:34:47 - mmengine - INFO - Epoch(train) [171][1140/1879] lr: 1.0000e-04 eta: 19:16:48 time: 0.4280 data_time: 0.0153 memory: 17087 grad_norm: 6.7336 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9049 loss: 0.9049 2022/08/05 00:34:56 - mmengine - INFO - Epoch(train) [171][1160/1879] lr: 1.0000e-04 eta: 19:16:39 time: 0.4622 data_time: 0.0175 memory: 17087 grad_norm: 6.4714 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8044 loss: 0.8044 2022/08/05 00:35:05 - mmengine - INFO - Epoch(train) [171][1180/1879] lr: 1.0000e-04 eta: 19:16:31 time: 0.4283 data_time: 0.0153 memory: 17087 grad_norm: 6.5699 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7916 loss: 0.7916 2022/08/05 00:35:14 - mmengine - INFO - Epoch(train) [171][1200/1879] lr: 1.0000e-04 eta: 19:16:22 time: 0.4593 data_time: 0.0189 memory: 17087 grad_norm: 6.8093 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0323 loss: 1.0323 2022/08/05 00:35:23 - mmengine - INFO - Epoch(train) [171][1220/1879] lr: 1.0000e-04 eta: 19:16:14 time: 0.4321 data_time: 0.0160 memory: 17087 grad_norm: 6.8871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9181 loss: 0.9181 2022/08/05 00:35:32 - mmengine - INFO - Epoch(train) [171][1240/1879] lr: 1.0000e-04 eta: 19:16:05 time: 0.4536 data_time: 0.0176 memory: 17087 grad_norm: 6.7816 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7406 loss: 0.7406 2022/08/05 00:35:40 - mmengine - INFO - Epoch(train) [171][1260/1879] lr: 1.0000e-04 eta: 19:15:57 time: 0.4271 data_time: 0.0143 memory: 17087 grad_norm: 6.8823 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7754 loss: 0.7754 2022/08/05 00:35:49 - mmengine - INFO - Epoch(train) [171][1280/1879] lr: 1.0000e-04 eta: 19:15:48 time: 0.4311 data_time: 0.0162 memory: 17087 grad_norm: 6.7235 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9506 loss: 0.9506 2022/08/05 00:35:58 - mmengine - INFO - Epoch(train) [171][1300/1879] lr: 1.0000e-04 eta: 19:15:39 time: 0.4391 data_time: 0.0218 memory: 17087 grad_norm: 6.6187 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7490 loss: 0.7490 2022/08/05 00:36:06 - mmengine - INFO - Epoch(train) [171][1320/1879] lr: 1.0000e-04 eta: 19:15:31 time: 0.4292 data_time: 0.0152 memory: 17087 grad_norm: 6.7439 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7974 loss: 0.7974 2022/08/05 00:36:15 - mmengine - INFO - Epoch(train) [171][1340/1879] lr: 1.0000e-04 eta: 19:15:22 time: 0.4338 data_time: 0.0154 memory: 17087 grad_norm: 6.6007 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6745 loss: 0.6745 2022/08/05 00:36:24 - mmengine - INFO - Epoch(train) [171][1360/1879] lr: 1.0000e-04 eta: 19:15:13 time: 0.4307 data_time: 0.0161 memory: 17087 grad_norm: 6.9686 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8913 loss: 0.8913 2022/08/05 00:36:33 - mmengine - INFO - Epoch(train) [171][1380/1879] lr: 1.0000e-04 eta: 19:15:05 time: 0.4475 data_time: 0.0156 memory: 17087 grad_norm: 6.6921 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7791 loss: 0.7791 2022/08/05 00:36:41 - mmengine - INFO - Epoch(train) [171][1400/1879] lr: 1.0000e-04 eta: 19:14:56 time: 0.4294 data_time: 0.0155 memory: 17087 grad_norm: 6.7605 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9954 loss: 0.9954 2022/08/05 00:36:50 - mmengine - INFO - Epoch(train) [171][1420/1879] lr: 1.0000e-04 eta: 19:14:48 time: 0.4352 data_time: 0.0208 memory: 17087 grad_norm: 6.7649 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8155 loss: 0.8155 2022/08/05 00:36:59 - mmengine - INFO - Epoch(train) [171][1440/1879] lr: 1.0000e-04 eta: 19:14:39 time: 0.4437 data_time: 0.0177 memory: 17087 grad_norm: 6.6355 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7716 loss: 0.7716 2022/08/05 00:37:08 - mmengine - INFO - Epoch(train) [171][1460/1879] lr: 1.0000e-04 eta: 19:14:30 time: 0.4294 data_time: 0.0150 memory: 17087 grad_norm: 6.7272 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8262 loss: 0.8262 2022/08/05 00:37:17 - mmengine - INFO - Epoch(train) [171][1480/1879] lr: 1.0000e-04 eta: 19:14:22 time: 0.4600 data_time: 0.0214 memory: 17087 grad_norm: 6.7715 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8033 loss: 0.8033 2022/08/05 00:37:26 - mmengine - INFO - Epoch(train) [171][1500/1879] lr: 1.0000e-04 eta: 19:14:13 time: 0.4296 data_time: 0.0161 memory: 17087 grad_norm: 6.8734 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9535 loss: 0.9535 2022/08/05 00:37:34 - mmengine - INFO - Epoch(train) [171][1520/1879] lr: 1.0000e-04 eta: 19:14:05 time: 0.4469 data_time: 0.0232 memory: 17087 grad_norm: 6.7843 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0692 loss: 1.0692 2022/08/05 00:37:43 - mmengine - INFO - Epoch(train) [171][1540/1879] lr: 1.0000e-04 eta: 19:13:56 time: 0.4293 data_time: 0.0146 memory: 17087 grad_norm: 6.5736 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7863 loss: 0.7863 2022/08/05 00:37:52 - mmengine - INFO - Epoch(train) [171][1560/1879] lr: 1.0000e-04 eta: 19:13:47 time: 0.4344 data_time: 0.0172 memory: 17087 grad_norm: 6.7240 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0066 loss: 1.0066 2022/08/05 00:37:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 00:38:00 - mmengine - INFO - Epoch(train) [171][1580/1879] lr: 1.0000e-04 eta: 19:13:39 time: 0.4285 data_time: 0.0153 memory: 17087 grad_norm: 6.8381 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8817 loss: 0.8817 2022/08/05 00:38:09 - mmengine - INFO - Epoch(train) [171][1600/1879] lr: 1.0000e-04 eta: 19:13:30 time: 0.4293 data_time: 0.0154 memory: 17087 grad_norm: 6.5976 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7968 loss: 0.7968 2022/08/05 00:38:18 - mmengine - INFO - Epoch(train) [171][1620/1879] lr: 1.0000e-04 eta: 19:13:22 time: 0.4615 data_time: 0.0174 memory: 17087 grad_norm: 6.5849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9201 loss: 0.9201 2022/08/05 00:38:27 - mmengine - INFO - Epoch(train) [171][1640/1879] lr: 1.0000e-04 eta: 19:13:13 time: 0.4308 data_time: 0.0153 memory: 17087 grad_norm: 6.7224 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8429 loss: 0.8429 2022/08/05 00:38:36 - mmengine - INFO - Epoch(train) [171][1660/1879] lr: 1.0000e-04 eta: 19:13:04 time: 0.4398 data_time: 0.0209 memory: 17087 grad_norm: 6.8545 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9287 loss: 0.9287 2022/08/05 00:38:44 - mmengine - INFO - Epoch(train) [171][1680/1879] lr: 1.0000e-04 eta: 19:12:56 time: 0.4315 data_time: 0.0164 memory: 17087 grad_norm: 6.8435 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7697 loss: 0.7697 2022/08/05 00:38:53 - mmengine - INFO - Epoch(train) [171][1700/1879] lr: 1.0000e-04 eta: 19:12:47 time: 0.4615 data_time: 0.0188 memory: 17087 grad_norm: 6.8410 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9368 loss: 0.9368 2022/08/05 00:39:02 - mmengine - INFO - Epoch(train) [171][1720/1879] lr: 1.0000e-04 eta: 19:12:39 time: 0.4292 data_time: 0.0159 memory: 17087 grad_norm: 6.8562 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8710 loss: 0.8710 2022/08/05 00:39:11 - mmengine - INFO - Epoch(train) [171][1740/1879] lr: 1.0000e-04 eta: 19:12:30 time: 0.4347 data_time: 0.0211 memory: 17087 grad_norm: 6.7742 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9555 loss: 0.9555 2022/08/05 00:39:20 - mmengine - INFO - Epoch(train) [171][1760/1879] lr: 1.0000e-04 eta: 19:12:21 time: 0.4366 data_time: 0.0152 memory: 17087 grad_norm: 6.8951 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8287 loss: 0.8287 2022/08/05 00:39:28 - mmengine - INFO - Epoch(train) [171][1780/1879] lr: 1.0000e-04 eta: 19:12:13 time: 0.4302 data_time: 0.0160 memory: 17087 grad_norm: 6.8894 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7673 loss: 0.7673 2022/08/05 00:39:37 - mmengine - INFO - Epoch(train) [171][1800/1879] lr: 1.0000e-04 eta: 19:12:04 time: 0.4576 data_time: 0.0174 memory: 17087 grad_norm: 6.8887 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0457 loss: 1.0457 2022/08/05 00:39:46 - mmengine - INFO - Epoch(train) [171][1820/1879] lr: 1.0000e-04 eta: 19:11:56 time: 0.4284 data_time: 0.0154 memory: 17087 grad_norm: 6.8494 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9400 loss: 0.9400 2022/08/05 00:39:55 - mmengine - INFO - Epoch(train) [171][1840/1879] lr: 1.0000e-04 eta: 19:11:47 time: 0.4597 data_time: 0.0227 memory: 17087 grad_norm: 6.6905 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9705 loss: 0.9705 2022/08/05 00:40:04 - mmengine - INFO - Epoch(train) [171][1860/1879] lr: 1.0000e-04 eta: 19:11:39 time: 0.4298 data_time: 0.0154 memory: 17087 grad_norm: 6.6814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8527 loss: 0.8527 2022/08/05 00:40:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 00:40:12 - mmengine - INFO - Epoch(train) [171][1879/1879] lr: 1.0000e-04 eta: 19:11:39 time: 0.4243 data_time: 0.0158 memory: 17087 grad_norm: 7.0329 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.7652 loss: 0.7652 2022/08/05 00:40:23 - mmengine - INFO - Epoch(train) [172][20/1879] lr: 1.0000e-04 eta: 19:11:19 time: 0.5577 data_time: 0.1307 memory: 17087 grad_norm: 6.6572 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7413 loss: 0.7413 2022/08/05 00:40:32 - mmengine - INFO - Epoch(train) [172][40/1879] lr: 1.0000e-04 eta: 19:11:10 time: 0.4483 data_time: 0.0207 memory: 17087 grad_norm: 6.6274 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7993 loss: 0.7993 2022/08/05 00:40:41 - mmengine - INFO - Epoch(train) [172][60/1879] lr: 1.0000e-04 eta: 19:11:02 time: 0.4267 data_time: 0.0143 memory: 17087 grad_norm: 6.4951 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7749 loss: 0.7749 2022/08/05 00:40:49 - mmengine - INFO - Epoch(train) [172][80/1879] lr: 1.0000e-04 eta: 19:10:53 time: 0.4368 data_time: 0.0166 memory: 17087 grad_norm: 6.7184 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8823 loss: 0.8823 2022/08/05 00:40:58 - mmengine - INFO - Epoch(train) [172][100/1879] lr: 1.0000e-04 eta: 19:10:44 time: 0.4333 data_time: 0.0158 memory: 17087 grad_norm: 6.6235 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7388 loss: 0.7388 2022/08/05 00:41:07 - mmengine - INFO - Epoch(train) [172][120/1879] lr: 1.0000e-04 eta: 19:10:36 time: 0.4326 data_time: 0.0183 memory: 17087 grad_norm: 6.8524 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7615 loss: 0.7615 2022/08/05 00:41:15 - mmengine - INFO - Epoch(train) [172][140/1879] lr: 1.0000e-04 eta: 19:10:27 time: 0.4303 data_time: 0.0162 memory: 17087 grad_norm: 6.6656 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7702 loss: 0.7702 2022/08/05 00:41:24 - mmengine - INFO - Epoch(train) [172][160/1879] lr: 1.0000e-04 eta: 19:10:18 time: 0.4308 data_time: 0.0188 memory: 17087 grad_norm: 6.9373 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7436 loss: 0.7436 2022/08/05 00:41:33 - mmengine - INFO - Epoch(train) [172][180/1879] lr: 1.0000e-04 eta: 19:10:10 time: 0.4533 data_time: 0.0207 memory: 17087 grad_norm: 6.6640 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6656 loss: 0.6656 2022/08/05 00:41:42 - mmengine - INFO - Epoch(train) [172][200/1879] lr: 1.0000e-04 eta: 19:10:01 time: 0.4310 data_time: 0.0158 memory: 17087 grad_norm: 6.8101 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9230 loss: 0.9230 2022/08/05 00:41:50 - mmengine - INFO - Epoch(train) [172][220/1879] lr: 1.0000e-04 eta: 19:09:53 time: 0.4331 data_time: 0.0196 memory: 17087 grad_norm: 6.6901 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8895 loss: 0.8895 2022/08/05 00:41:59 - mmengine - INFO - Epoch(train) [172][240/1879] lr: 1.0000e-04 eta: 19:09:44 time: 0.4377 data_time: 0.0163 memory: 17087 grad_norm: 6.6068 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8410 loss: 0.8410 2022/08/05 00:42:08 - mmengine - INFO - Epoch(train) [172][260/1879] lr: 1.0000e-04 eta: 19:09:35 time: 0.4300 data_time: 0.0138 memory: 17087 grad_norm: 6.7281 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9146 loss: 0.9146 2022/08/05 00:42:17 - mmengine - INFO - Epoch(train) [172][280/1879] lr: 1.0000e-04 eta: 19:09:27 time: 0.4498 data_time: 0.0185 memory: 17087 grad_norm: 6.7992 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9381 loss: 0.9381 2022/08/05 00:42:25 - mmengine - INFO - Epoch(train) [172][300/1879] lr: 1.0000e-04 eta: 19:09:18 time: 0.4302 data_time: 0.0142 memory: 17087 grad_norm: 6.9107 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0272 loss: 1.0272 2022/08/05 00:42:35 - mmengine - INFO - Epoch(train) [172][320/1879] lr: 1.0000e-04 eta: 19:09:10 time: 0.4566 data_time: 0.0212 memory: 17087 grad_norm: 6.6990 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6837 loss: 0.6837 2022/08/05 00:42:43 - mmengine - INFO - Epoch(train) [172][340/1879] lr: 1.0000e-04 eta: 19:09:01 time: 0.4315 data_time: 0.0145 memory: 17087 grad_norm: 6.7717 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7650 loss: 0.7650 2022/08/05 00:42:52 - mmengine - INFO - Epoch(train) [172][360/1879] lr: 1.0000e-04 eta: 19:08:53 time: 0.4619 data_time: 0.0225 memory: 17087 grad_norm: 6.7233 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8156 loss: 0.8156 2022/08/05 00:43:01 - mmengine - INFO - Epoch(train) [172][380/1879] lr: 1.0000e-04 eta: 19:08:44 time: 0.4287 data_time: 0.0164 memory: 17087 grad_norm: 6.7970 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8344 loss: 0.8344 2022/08/05 00:43:10 - mmengine - INFO - Epoch(train) [172][400/1879] lr: 1.0000e-04 eta: 19:08:36 time: 0.4345 data_time: 0.0166 memory: 17087 grad_norm: 6.6823 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8030 loss: 0.8030 2022/08/05 00:43:19 - mmengine - INFO - Epoch(train) [172][420/1879] lr: 1.0000e-04 eta: 19:08:27 time: 0.4566 data_time: 0.0184 memory: 17087 grad_norm: 6.9487 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9030 loss: 0.9030 2022/08/05 00:43:28 - mmengine - INFO - Epoch(train) [172][440/1879] lr: 1.0000e-04 eta: 19:08:18 time: 0.4322 data_time: 0.0160 memory: 17087 grad_norm: 6.7571 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8436 loss: 0.8436 2022/08/05 00:43:37 - mmengine - INFO - Epoch(train) [172][460/1879] lr: 1.0000e-04 eta: 19:08:10 time: 0.4512 data_time: 0.0203 memory: 17087 grad_norm: 6.8009 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8284 loss: 0.8284 2022/08/05 00:43:45 - mmengine - INFO - Epoch(train) [172][480/1879] lr: 1.0000e-04 eta: 19:08:01 time: 0.4307 data_time: 0.0158 memory: 17087 grad_norm: 6.8449 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8743 loss: 0.8743 2022/08/05 00:43:54 - mmengine - INFO - Epoch(train) [172][500/1879] lr: 1.0000e-04 eta: 19:07:53 time: 0.4358 data_time: 0.0204 memory: 17087 grad_norm: 6.7119 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8170 loss: 0.8170 2022/08/05 00:44:03 - mmengine - INFO - Epoch(train) [172][520/1879] lr: 1.0000e-04 eta: 19:07:44 time: 0.4285 data_time: 0.0157 memory: 17087 grad_norm: 6.8145 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9085 loss: 0.9085 2022/08/05 00:44:11 - mmengine - INFO - Epoch(train) [172][540/1879] lr: 1.0000e-04 eta: 19:07:35 time: 0.4301 data_time: 0.0152 memory: 17087 grad_norm: 6.5077 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8849 loss: 0.8849 2022/08/05 00:44:20 - mmengine - INFO - Epoch(train) [172][560/1879] lr: 1.0000e-04 eta: 19:07:27 time: 0.4504 data_time: 0.0165 memory: 17087 grad_norm: 6.5935 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9011 loss: 0.9011 2022/08/05 00:44:29 - mmengine - INFO - Epoch(train) [172][580/1879] lr: 1.0000e-04 eta: 19:07:18 time: 0.4349 data_time: 0.0150 memory: 17087 grad_norm: 6.7415 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8592 loss: 0.8592 2022/08/05 00:44:38 - mmengine - INFO - Epoch(train) [172][600/1879] lr: 1.0000e-04 eta: 19:07:10 time: 0.4335 data_time: 0.0192 memory: 17087 grad_norm: 6.9842 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9253 loss: 0.9253 2022/08/05 00:44:46 - mmengine - INFO - Epoch(train) [172][620/1879] lr: 1.0000e-04 eta: 19:07:01 time: 0.4338 data_time: 0.0147 memory: 17087 grad_norm: 6.5930 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8539 loss: 0.8539 2022/08/05 00:44:55 - mmengine - INFO - Epoch(train) [172][640/1879] lr: 1.0000e-04 eta: 19:06:52 time: 0.4488 data_time: 0.0175 memory: 17087 grad_norm: 7.0508 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8973 loss: 0.8973 2022/08/05 00:45:04 - mmengine - INFO - Epoch(train) [172][660/1879] lr: 1.0000e-04 eta: 19:06:44 time: 0.4396 data_time: 0.0142 memory: 17087 grad_norm: 7.0058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8679 loss: 0.8679 2022/08/05 00:45:13 - mmengine - INFO - Epoch(train) [172][680/1879] lr: 1.0000e-04 eta: 19:06:35 time: 0.4306 data_time: 0.0182 memory: 17087 grad_norm: 6.7490 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8078 loss: 0.8078 2022/08/05 00:45:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 00:45:21 - mmengine - INFO - Epoch(train) [172][700/1879] lr: 1.0000e-04 eta: 19:06:26 time: 0.4279 data_time: 0.0136 memory: 17087 grad_norm: 6.9302 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7848 loss: 0.7848 2022/08/05 00:45:30 - mmengine - INFO - Epoch(train) [172][720/1879] lr: 1.0000e-04 eta: 19:06:18 time: 0.4524 data_time: 0.0176 memory: 17087 grad_norm: 6.6908 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8509 loss: 0.8509 2022/08/05 00:45:39 - mmengine - INFO - Epoch(train) [172][740/1879] lr: 1.0000e-04 eta: 19:06:09 time: 0.4297 data_time: 0.0162 memory: 17087 grad_norm: 6.5716 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7965 loss: 0.7965 2022/08/05 00:45:48 - mmengine - INFO - Epoch(train) [172][760/1879] lr: 1.0000e-04 eta: 19:06:01 time: 0.4566 data_time: 0.0175 memory: 17087 grad_norm: 6.9173 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7985 loss: 0.7985 2022/08/05 00:45:57 - mmengine - INFO - Epoch(train) [172][780/1879] lr: 1.0000e-04 eta: 19:05:52 time: 0.4291 data_time: 0.0154 memory: 17087 grad_norm: 6.8469 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9702 loss: 0.9702 2022/08/05 00:46:05 - mmengine - INFO - Epoch(train) [172][800/1879] lr: 1.0000e-04 eta: 19:05:44 time: 0.4328 data_time: 0.0184 memory: 17087 grad_norm: 6.7069 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7183 loss: 0.7183 2022/08/05 00:46:14 - mmengine - INFO - Epoch(train) [172][820/1879] lr: 1.0000e-04 eta: 19:05:35 time: 0.4296 data_time: 0.0143 memory: 17087 grad_norm: 6.7344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8679 loss: 0.8679 2022/08/05 00:46:23 - mmengine - INFO - Epoch(train) [172][840/1879] lr: 1.0000e-04 eta: 19:05:26 time: 0.4451 data_time: 0.0181 memory: 17087 grad_norm: 6.7255 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7494 loss: 0.7494 2022/08/05 00:46:32 - mmengine - INFO - Epoch(train) [172][860/1879] lr: 1.0000e-04 eta: 19:05:18 time: 0.4291 data_time: 0.0156 memory: 17087 grad_norm: 6.8898 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.9087 loss: 0.9087 2022/08/05 00:46:40 - mmengine - INFO - Epoch(train) [172][880/1879] lr: 1.0000e-04 eta: 19:05:09 time: 0.4311 data_time: 0.0165 memory: 17087 grad_norm: 6.6270 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8351 loss: 0.8351 2022/08/05 00:46:49 - mmengine - INFO - Epoch(train) [172][900/1879] lr: 1.0000e-04 eta: 19:05:00 time: 0.4300 data_time: 0.0171 memory: 17087 grad_norm: 6.7697 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8270 loss: 0.8270 2022/08/05 00:46:57 - mmengine - INFO - Epoch(train) [172][920/1879] lr: 1.0000e-04 eta: 19:04:52 time: 0.4303 data_time: 0.0169 memory: 17087 grad_norm: 6.8973 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9794 loss: 0.9794 2022/08/05 00:47:06 - mmengine - INFO - Epoch(train) [172][940/1879] lr: 1.0000e-04 eta: 19:04:43 time: 0.4509 data_time: 0.0144 memory: 17087 grad_norm: 6.7239 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8009 loss: 0.8009 2022/08/05 00:47:15 - mmengine - INFO - Epoch(train) [172][960/1879] lr: 1.0000e-04 eta: 19:04:35 time: 0.4298 data_time: 0.0159 memory: 17087 grad_norm: 6.8463 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9799 loss: 0.9799 2022/08/05 00:47:24 - mmengine - INFO - Epoch(train) [172][980/1879] lr: 1.0000e-04 eta: 19:04:26 time: 0.4369 data_time: 0.0184 memory: 17087 grad_norm: 6.4375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7803 loss: 0.7803 2022/08/05 00:47:32 - mmengine - INFO - Epoch(train) [172][1000/1879] lr: 1.0000e-04 eta: 19:04:17 time: 0.4311 data_time: 0.0169 memory: 17087 grad_norm: 6.8421 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9003 loss: 0.9003 2022/08/05 00:47:41 - mmengine - INFO - Epoch(train) [172][1020/1879] lr: 1.0000e-04 eta: 19:04:09 time: 0.4292 data_time: 0.0158 memory: 17087 grad_norm: 6.6717 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7750 loss: 0.7750 2022/08/05 00:47:50 - mmengine - INFO - Epoch(train) [172][1040/1879] lr: 1.0000e-04 eta: 19:04:00 time: 0.4584 data_time: 0.0175 memory: 17087 grad_norm: 6.5691 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9626 loss: 0.9626 2022/08/05 00:47:59 - mmengine - INFO - Epoch(train) [172][1060/1879] lr: 1.0000e-04 eta: 19:03:51 time: 0.4286 data_time: 0.0146 memory: 17087 grad_norm: 6.7317 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7804 loss: 0.7804 2022/08/05 00:48:08 - mmengine - INFO - Epoch(train) [172][1080/1879] lr: 1.0000e-04 eta: 19:03:43 time: 0.4368 data_time: 0.0160 memory: 17087 grad_norm: 6.6608 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7023 loss: 0.7023 2022/08/05 00:48:16 - mmengine - INFO - Epoch(train) [172][1100/1879] lr: 1.0000e-04 eta: 19:03:34 time: 0.4269 data_time: 0.0159 memory: 17087 grad_norm: 6.9194 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9928 loss: 0.9928 2022/08/05 00:48:25 - mmengine - INFO - Epoch(train) [172][1120/1879] lr: 1.0000e-04 eta: 19:03:26 time: 0.4626 data_time: 0.0159 memory: 17087 grad_norm: 6.9427 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8926 loss: 0.8926 2022/08/05 00:48:34 - mmengine - INFO - Epoch(train) [172][1140/1879] lr: 1.0000e-04 eta: 19:03:17 time: 0.4283 data_time: 0.0149 memory: 17087 grad_norm: 6.7174 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8437 loss: 0.8437 2022/08/05 00:48:43 - mmengine - INFO - Epoch(train) [172][1160/1879] lr: 1.0000e-04 eta: 19:03:09 time: 0.4467 data_time: 0.0171 memory: 17087 grad_norm: 6.8270 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7952 loss: 0.7952 2022/08/05 00:48:52 - mmengine - INFO - Epoch(train) [172][1180/1879] lr: 1.0000e-04 eta: 19:03:00 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 6.8322 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8699 loss: 0.8699 2022/08/05 00:49:00 - mmengine - INFO - Epoch(train) [172][1200/1879] lr: 1.0000e-04 eta: 19:02:51 time: 0.4294 data_time: 0.0171 memory: 17087 grad_norm: 7.0391 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9231 loss: 0.9231 2022/08/05 00:49:09 - mmengine - INFO - Epoch(train) [172][1220/1879] lr: 1.0000e-04 eta: 19:02:43 time: 0.4614 data_time: 0.0131 memory: 17087 grad_norm: 6.6378 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7593 loss: 0.7593 2022/08/05 00:49:18 - mmengine - INFO - Epoch(train) [172][1240/1879] lr: 1.0000e-04 eta: 19:02:34 time: 0.4312 data_time: 0.0160 memory: 17087 grad_norm: 6.9558 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8506 loss: 0.8506 2022/08/05 00:49:27 - mmengine - INFO - Epoch(train) [172][1260/1879] lr: 1.0000e-04 eta: 19:02:26 time: 0.4372 data_time: 0.0167 memory: 17087 grad_norm: 6.5351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8121 loss: 0.8121 2022/08/05 00:49:35 - mmengine - INFO - Epoch(train) [172][1280/1879] lr: 1.0000e-04 eta: 19:02:17 time: 0.4289 data_time: 0.0156 memory: 17087 grad_norm: 6.7299 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8349 loss: 0.8349 2022/08/05 00:49:44 - mmengine - INFO - Epoch(train) [172][1300/1879] lr: 1.0000e-04 eta: 19:02:08 time: 0.4276 data_time: 0.0153 memory: 17087 grad_norm: 6.6918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8064 loss: 0.8064 2022/08/05 00:49:53 - mmengine - INFO - Epoch(train) [172][1320/1879] lr: 1.0000e-04 eta: 19:02:00 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 6.7712 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8458 loss: 0.8458 2022/08/05 00:50:01 - mmengine - INFO - Epoch(train) [172][1340/1879] lr: 1.0000e-04 eta: 19:01:51 time: 0.4258 data_time: 0.0136 memory: 17087 grad_norm: 6.7132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0102 loss: 1.0102 2022/08/05 00:50:10 - mmengine - INFO - Epoch(train) [172][1360/1879] lr: 1.0000e-04 eta: 19:01:42 time: 0.4536 data_time: 0.0195 memory: 17087 grad_norm: 6.8437 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8436 loss: 0.8436 2022/08/05 00:50:19 - mmengine - INFO - Epoch(train) [172][1380/1879] lr: 1.0000e-04 eta: 19:01:34 time: 0.4372 data_time: 0.0164 memory: 17087 grad_norm: 6.7834 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8291 loss: 0.8291 2022/08/05 00:50:28 - mmengine - INFO - Epoch(train) [172][1400/1879] lr: 1.0000e-04 eta: 19:01:25 time: 0.4465 data_time: 0.0151 memory: 17087 grad_norm: 6.8764 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9273 loss: 0.9273 2022/08/05 00:50:37 - mmengine - INFO - Epoch(train) [172][1420/1879] lr: 1.0000e-04 eta: 19:01:17 time: 0.4349 data_time: 0.0191 memory: 17087 grad_norm: 6.6880 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0197 loss: 1.0197 2022/08/05 00:50:46 - mmengine - INFO - Epoch(train) [172][1440/1879] lr: 1.0000e-04 eta: 19:01:08 time: 0.4482 data_time: 0.0154 memory: 17087 grad_norm: 6.9460 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9320 loss: 0.9320 2022/08/05 00:50:54 - mmengine - INFO - Epoch(train) [172][1460/1879] lr: 1.0000e-04 eta: 19:01:00 time: 0.4365 data_time: 0.0156 memory: 17087 grad_norm: 6.8973 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0940 loss: 1.0940 2022/08/05 00:51:03 - mmengine - INFO - Epoch(train) [172][1480/1879] lr: 1.0000e-04 eta: 19:00:51 time: 0.4308 data_time: 0.0173 memory: 17087 grad_norm: 6.7838 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7169 loss: 0.7169 2022/08/05 00:51:12 - mmengine - INFO - Epoch(train) [172][1500/1879] lr: 1.0000e-04 eta: 19:00:42 time: 0.4303 data_time: 0.0147 memory: 17087 grad_norm: 6.7955 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9726 loss: 0.9726 2022/08/05 00:51:21 - mmengine - INFO - Epoch(train) [172][1520/1879] lr: 1.0000e-04 eta: 19:00:34 time: 0.4541 data_time: 0.0169 memory: 17087 grad_norm: 6.5756 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0244 loss: 1.0244 2022/08/05 00:51:30 - mmengine - INFO - Epoch(train) [172][1540/1879] lr: 1.0000e-04 eta: 19:00:25 time: 0.4369 data_time: 0.0189 memory: 17087 grad_norm: 6.4686 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8969 loss: 0.8969 2022/08/05 00:51:39 - mmengine - INFO - Epoch(train) [172][1560/1879] lr: 1.0000e-04 eta: 19:00:17 time: 0.4524 data_time: 0.0174 memory: 17087 grad_norm: 6.7471 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6284 loss: 0.6284 2022/08/05 00:51:47 - mmengine - INFO - Epoch(train) [172][1580/1879] lr: 1.0000e-04 eta: 19:00:08 time: 0.4349 data_time: 0.0204 memory: 17087 grad_norm: 6.9931 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7746 loss: 0.7746 2022/08/05 00:51:56 - mmengine - INFO - Epoch(train) [172][1600/1879] lr: 1.0000e-04 eta: 18:59:59 time: 0.4373 data_time: 0.0176 memory: 17087 grad_norm: 6.7898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9232 loss: 0.9232 2022/08/05 00:52:05 - mmengine - INFO - Epoch(train) [172][1620/1879] lr: 1.0000e-04 eta: 18:59:51 time: 0.4291 data_time: 0.0158 memory: 17087 grad_norm: 7.0567 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7962 loss: 0.7962 2022/08/05 00:52:14 - mmengine - INFO - Epoch(train) [172][1640/1879] lr: 1.0000e-04 eta: 18:59:42 time: 0.4602 data_time: 0.0175 memory: 17087 grad_norm: 6.8835 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8118 loss: 0.8118 2022/08/05 00:52:23 - mmengine - INFO - Epoch(train) [172][1660/1879] lr: 1.0000e-04 eta: 18:59:34 time: 0.4292 data_time: 0.0148 memory: 17087 grad_norm: 6.9998 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9975 loss: 0.9975 2022/08/05 00:52:31 - mmengine - INFO - Epoch(train) [172][1680/1879] lr: 1.0000e-04 eta: 18:59:25 time: 0.4358 data_time: 0.0217 memory: 17087 grad_norm: 6.8735 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8721 loss: 0.8721 2022/08/05 00:52:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 00:52:40 - mmengine - INFO - Epoch(train) [172][1700/1879] lr: 1.0000e-04 eta: 18:59:16 time: 0.4290 data_time: 0.0137 memory: 17087 grad_norm: 6.6931 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9135 loss: 0.9135 2022/08/05 00:52:49 - mmengine - INFO - Epoch(train) [172][1720/1879] lr: 1.0000e-04 eta: 18:59:08 time: 0.4672 data_time: 0.0183 memory: 17087 grad_norm: 6.7800 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8495 loss: 0.8495 2022/08/05 00:52:58 - mmengine - INFO - Epoch(train) [172][1740/1879] lr: 1.0000e-04 eta: 18:58:59 time: 0.4276 data_time: 0.0142 memory: 17087 grad_norm: 6.8224 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9111 loss: 0.9111 2022/08/05 00:53:07 - mmengine - INFO - Epoch(train) [172][1760/1879] lr: 1.0000e-04 eta: 18:58:51 time: 0.4604 data_time: 0.0170 memory: 17087 grad_norm: 6.8297 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7672 loss: 0.7672 2022/08/05 00:53:16 - mmengine - INFO - Epoch(train) [172][1780/1879] lr: 1.0000e-04 eta: 18:58:42 time: 0.4281 data_time: 0.0141 memory: 17087 grad_norm: 6.7755 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8160 loss: 0.8160 2022/08/05 00:53:24 - mmengine - INFO - Epoch(train) [172][1800/1879] lr: 1.0000e-04 eta: 18:58:34 time: 0.4348 data_time: 0.0161 memory: 17087 grad_norm: 6.6216 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8394 loss: 0.8394 2022/08/05 00:53:33 - mmengine - INFO - Epoch(train) [172][1820/1879] lr: 1.0000e-04 eta: 18:58:25 time: 0.4297 data_time: 0.0149 memory: 17087 grad_norm: 6.5588 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7255 loss: 0.7255 2022/08/05 00:53:42 - mmengine - INFO - Epoch(train) [172][1840/1879] lr: 1.0000e-04 eta: 18:58:16 time: 0.4321 data_time: 0.0168 memory: 17087 grad_norm: 6.7125 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8227 loss: 0.8227 2022/08/05 00:53:50 - mmengine - INFO - Epoch(train) [172][1860/1879] lr: 1.0000e-04 eta: 18:58:08 time: 0.4319 data_time: 0.0149 memory: 17087 grad_norm: 7.1068 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7689 loss: 0.7689 2022/08/05 00:53:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 00:53:58 - mmengine - INFO - Epoch(train) [172][1879/1879] lr: 1.0000e-04 eta: 18:58:08 time: 0.4165 data_time: 0.0164 memory: 17087 grad_norm: 7.1652 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8359 loss: 0.8359 2022/08/05 00:53:58 - mmengine - INFO - Saving checkpoint at 172 epochs 2022/08/05 00:54:12 - mmengine - INFO - Epoch(train) [173][20/1879] lr: 1.0000e-04 eta: 18:57:48 time: 0.5099 data_time: 0.0969 memory: 17087 grad_norm: 6.8816 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8355 loss: 0.8355 2022/08/05 00:54:21 - mmengine - INFO - Epoch(train) [173][40/1879] lr: 1.0000e-04 eta: 18:57:39 time: 0.4429 data_time: 0.0160 memory: 17087 grad_norm: 6.7330 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7785 loss: 0.7785 2022/08/05 00:54:29 - mmengine - INFO - Epoch(train) [173][60/1879] lr: 1.0000e-04 eta: 18:57:30 time: 0.4266 data_time: 0.0159 memory: 17087 grad_norm: 6.7481 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9717 loss: 0.9717 2022/08/05 00:54:38 - mmengine - INFO - Epoch(train) [173][80/1879] lr: 1.0000e-04 eta: 18:57:22 time: 0.4333 data_time: 0.0170 memory: 17087 grad_norm: 6.7305 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7314 loss: 0.7314 2022/08/05 00:54:47 - mmengine - INFO - Epoch(train) [173][100/1879] lr: 1.0000e-04 eta: 18:57:13 time: 0.4274 data_time: 0.0149 memory: 17087 grad_norm: 6.7705 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0271 loss: 1.0271 2022/08/05 00:54:55 - mmengine - INFO - Epoch(train) [173][120/1879] lr: 1.0000e-04 eta: 18:57:04 time: 0.4336 data_time: 0.0177 memory: 17087 grad_norm: 6.9220 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7791 loss: 0.7791 2022/08/05 00:55:04 - mmengine - INFO - Epoch(train) [173][140/1879] lr: 1.0000e-04 eta: 18:56:56 time: 0.4270 data_time: 0.0126 memory: 17087 grad_norm: 6.7854 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0081 loss: 1.0081 2022/08/05 00:55:13 - mmengine - INFO - Epoch(train) [173][160/1879] lr: 1.0000e-04 eta: 18:56:47 time: 0.4397 data_time: 0.0171 memory: 17087 grad_norm: 6.7367 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8499 loss: 0.8499 2022/08/05 00:55:22 - mmengine - INFO - Epoch(train) [173][180/1879] lr: 1.0000e-04 eta: 18:56:38 time: 0.4505 data_time: 0.0141 memory: 17087 grad_norm: 6.6131 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6179 loss: 0.6179 2022/08/05 00:55:31 - mmengine - INFO - Epoch(train) [173][200/1879] lr: 1.0000e-04 eta: 18:56:30 time: 0.4360 data_time: 0.0167 memory: 17087 grad_norm: 6.6370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7570 loss: 0.7570 2022/08/05 00:55:39 - mmengine - INFO - Epoch(train) [173][220/1879] lr: 1.0000e-04 eta: 18:56:21 time: 0.4327 data_time: 0.0151 memory: 17087 grad_norm: 6.8249 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7703 loss: 0.7703 2022/08/05 00:55:48 - mmengine - INFO - Epoch(train) [173][240/1879] lr: 1.0000e-04 eta: 18:56:13 time: 0.4418 data_time: 0.0174 memory: 17087 grad_norm: 6.5356 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8908 loss: 0.8908 2022/08/05 00:55:57 - mmengine - INFO - Epoch(train) [173][260/1879] lr: 1.0000e-04 eta: 18:56:04 time: 0.4304 data_time: 0.0156 memory: 17087 grad_norm: 6.9048 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8114 loss: 0.8114 2022/08/05 00:56:06 - mmengine - INFO - Epoch(train) [173][280/1879] lr: 1.0000e-04 eta: 18:55:56 time: 0.4628 data_time: 0.0189 memory: 17087 grad_norm: 6.8344 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9945 loss: 0.9945 2022/08/05 00:56:15 - mmengine - INFO - Epoch(train) [173][300/1879] lr: 1.0000e-04 eta: 18:55:47 time: 0.4318 data_time: 0.0140 memory: 17087 grad_norm: 6.9188 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0236 loss: 1.0236 2022/08/05 00:56:24 - mmengine - INFO - Epoch(train) [173][320/1879] lr: 1.0000e-04 eta: 18:55:39 time: 0.4550 data_time: 0.0189 memory: 17087 grad_norm: 6.8706 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8418 loss: 0.8418 2022/08/05 00:56:32 - mmengine - INFO - Epoch(train) [173][340/1879] lr: 1.0000e-04 eta: 18:55:30 time: 0.4298 data_time: 0.0151 memory: 17087 grad_norm: 6.9403 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7291 loss: 0.7291 2022/08/05 00:56:41 - mmengine - INFO - Epoch(train) [173][360/1879] lr: 1.0000e-04 eta: 18:55:21 time: 0.4317 data_time: 0.0160 memory: 17087 grad_norm: 6.6609 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7802 loss: 0.7802 2022/08/05 00:56:50 - mmengine - INFO - Epoch(train) [173][380/1879] lr: 1.0000e-04 eta: 18:55:13 time: 0.4418 data_time: 0.0143 memory: 17087 grad_norm: 6.7935 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0464 loss: 1.0464 2022/08/05 00:56:58 - mmengine - INFO - Epoch(train) [173][400/1879] lr: 1.0000e-04 eta: 18:55:04 time: 0.4299 data_time: 0.0167 memory: 17087 grad_norm: 6.6975 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8646 loss: 0.8646 2022/08/05 00:57:07 - mmengine - INFO - Epoch(train) [173][420/1879] lr: 1.0000e-04 eta: 18:54:55 time: 0.4311 data_time: 0.0171 memory: 17087 grad_norm: 6.6915 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8812 loss: 0.8812 2022/08/05 00:57:16 - mmengine - INFO - Epoch(train) [173][440/1879] lr: 1.0000e-04 eta: 18:54:47 time: 0.4446 data_time: 0.0174 memory: 17087 grad_norm: 6.8095 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9625 loss: 0.9625 2022/08/05 00:57:25 - mmengine - INFO - Epoch(train) [173][460/1879] lr: 1.0000e-04 eta: 18:54:38 time: 0.4272 data_time: 0.0137 memory: 17087 grad_norm: 6.7961 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8386 loss: 0.8386 2022/08/05 00:57:34 - mmengine - INFO - Epoch(train) [173][480/1879] lr: 1.0000e-04 eta: 18:54:30 time: 0.4659 data_time: 0.0224 memory: 17087 grad_norm: 6.5093 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6952 loss: 0.6952 2022/08/05 00:57:43 - mmengine - INFO - Epoch(train) [173][500/1879] lr: 1.0000e-04 eta: 18:54:21 time: 0.4271 data_time: 0.0149 memory: 17087 grad_norm: 6.5672 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8448 loss: 0.8448 2022/08/05 00:57:51 - mmengine - INFO - Epoch(train) [173][520/1879] lr: 1.0000e-04 eta: 18:54:12 time: 0.4303 data_time: 0.0163 memory: 17087 grad_norm: 6.8182 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9281 loss: 0.9281 2022/08/05 00:58:00 - mmengine - INFO - Epoch(train) [173][540/1879] lr: 1.0000e-04 eta: 18:54:04 time: 0.4513 data_time: 0.0195 memory: 17087 grad_norm: 6.7266 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8907 loss: 0.8907 2022/08/05 00:58:09 - mmengine - INFO - Epoch(train) [173][560/1879] lr: 1.0000e-04 eta: 18:53:55 time: 0.4334 data_time: 0.0176 memory: 17087 grad_norm: 6.5215 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8241 loss: 0.8241 2022/08/05 00:58:17 - mmengine - INFO - Epoch(train) [173][580/1879] lr: 1.0000e-04 eta: 18:53:47 time: 0.4274 data_time: 0.0147 memory: 17087 grad_norm: 6.4104 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7096 loss: 0.7096 2022/08/05 00:58:27 - mmengine - INFO - Epoch(train) [173][600/1879] lr: 1.0000e-04 eta: 18:53:38 time: 0.4564 data_time: 0.0173 memory: 17087 grad_norm: 6.8332 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0538 loss: 1.0538 2022/08/05 00:58:35 - mmengine - INFO - Epoch(train) [173][620/1879] lr: 1.0000e-04 eta: 18:53:29 time: 0.4289 data_time: 0.0147 memory: 17087 grad_norm: 6.8452 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8159 loss: 0.8159 2022/08/05 00:58:44 - mmengine - INFO - Epoch(train) [173][640/1879] lr: 1.0000e-04 eta: 18:53:21 time: 0.4348 data_time: 0.0174 memory: 17087 grad_norm: 6.8007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8251 loss: 0.8251 2022/08/05 00:58:52 - mmengine - INFO - Epoch(train) [173][660/1879] lr: 1.0000e-04 eta: 18:53:12 time: 0.4285 data_time: 0.0141 memory: 17087 grad_norm: 6.7113 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8734 loss: 0.8734 2022/08/05 00:59:01 - mmengine - INFO - Epoch(train) [173][680/1879] lr: 1.0000e-04 eta: 18:53:03 time: 0.4316 data_time: 0.0162 memory: 17087 grad_norm: 6.6812 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7188 loss: 0.7188 2022/08/05 00:59:10 - mmengine - INFO - Epoch(train) [173][700/1879] lr: 1.0000e-04 eta: 18:52:55 time: 0.4430 data_time: 0.0166 memory: 17087 grad_norm: 6.8938 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8135 loss: 0.8135 2022/08/05 00:59:19 - mmengine - INFO - Epoch(train) [173][720/1879] lr: 1.0000e-04 eta: 18:52:46 time: 0.4295 data_time: 0.0162 memory: 17087 grad_norm: 6.8396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0209 loss: 1.0209 2022/08/05 00:59:28 - mmengine - INFO - Epoch(train) [173][740/1879] lr: 1.0000e-04 eta: 18:52:38 time: 0.4498 data_time: 0.0165 memory: 17087 grad_norm: 6.6818 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8319 loss: 0.8319 2022/08/05 00:59:36 - mmengine - INFO - Epoch(train) [173][760/1879] lr: 1.0000e-04 eta: 18:52:29 time: 0.4311 data_time: 0.0174 memory: 17087 grad_norm: 6.7790 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8850 loss: 0.8850 2022/08/05 00:59:45 - mmengine - INFO - Epoch(train) [173][780/1879] lr: 1.0000e-04 eta: 18:52:21 time: 0.4522 data_time: 0.0157 memory: 17087 grad_norm: 6.8026 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9405 loss: 0.9405 2022/08/05 00:59:54 - mmengine - INFO - Epoch(train) [173][800/1879] lr: 1.0000e-04 eta: 18:52:12 time: 0.4308 data_time: 0.0163 memory: 17087 grad_norm: 6.6453 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7889 loss: 0.7889 2022/08/05 00:59:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 01:00:03 - mmengine - INFO - Epoch(train) [173][820/1879] lr: 1.0000e-04 eta: 18:52:03 time: 0.4303 data_time: 0.0154 memory: 17087 grad_norm: 6.6560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9060 loss: 0.9060 2022/08/05 01:00:11 - mmengine - INFO - Epoch(train) [173][840/1879] lr: 1.0000e-04 eta: 18:51:55 time: 0.4429 data_time: 0.0153 memory: 17087 grad_norm: 6.7887 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7986 loss: 0.7986 2022/08/05 01:00:20 - mmengine - INFO - Epoch(train) [173][860/1879] lr: 1.0000e-04 eta: 18:51:46 time: 0.4307 data_time: 0.0158 memory: 17087 grad_norm: 6.6472 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8568 loss: 0.8568 2022/08/05 01:00:29 - mmengine - INFO - Epoch(train) [173][880/1879] lr: 1.0000e-04 eta: 18:51:38 time: 0.4639 data_time: 0.0168 memory: 17087 grad_norm: 6.7275 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8811 loss: 0.8811 2022/08/05 01:00:38 - mmengine - INFO - Epoch(train) [173][900/1879] lr: 1.0000e-04 eta: 18:51:29 time: 0.4287 data_time: 0.0136 memory: 17087 grad_norm: 7.0390 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9353 loss: 0.9353 2022/08/05 01:00:47 - mmengine - INFO - Epoch(train) [173][920/1879] lr: 1.0000e-04 eta: 18:51:20 time: 0.4422 data_time: 0.0182 memory: 17087 grad_norm: 6.7984 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7670 loss: 0.7670 2022/08/05 01:00:55 - mmengine - INFO - Epoch(train) [173][940/1879] lr: 1.0000e-04 eta: 18:51:12 time: 0.4277 data_time: 0.0159 memory: 17087 grad_norm: 6.7856 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8119 loss: 0.8119 2022/08/05 01:01:04 - mmengine - INFO - Epoch(train) [173][960/1879] lr: 1.0000e-04 eta: 18:51:03 time: 0.4337 data_time: 0.0166 memory: 17087 grad_norm: 6.7321 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8427 loss: 0.8427 2022/08/05 01:01:13 - mmengine - INFO - Epoch(train) [173][980/1879] lr: 1.0000e-04 eta: 18:50:54 time: 0.4284 data_time: 0.0147 memory: 17087 grad_norm: 6.7921 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7162 loss: 0.7162 2022/08/05 01:01:21 - mmengine - INFO - Epoch(train) [173][1000/1879] lr: 1.0000e-04 eta: 18:50:46 time: 0.4283 data_time: 0.0151 memory: 17087 grad_norm: 6.6388 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7696 loss: 0.7696 2022/08/05 01:01:30 - mmengine - INFO - Epoch(train) [173][1020/1879] lr: 1.0000e-04 eta: 18:50:37 time: 0.4334 data_time: 0.0148 memory: 17087 grad_norm: 7.0191 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7835 loss: 0.7835 2022/08/05 01:01:39 - mmengine - INFO - Epoch(train) [173][1040/1879] lr: 1.0000e-04 eta: 18:50:28 time: 0.4302 data_time: 0.0156 memory: 17087 grad_norm: 6.6518 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8545 loss: 0.8545 2022/08/05 01:01:48 - mmengine - INFO - Epoch(train) [173][1060/1879] lr: 1.0000e-04 eta: 18:50:20 time: 0.4473 data_time: 0.0152 memory: 17087 grad_norm: 6.4374 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8308 loss: 0.8308 2022/08/05 01:01:56 - mmengine - INFO - Epoch(train) [173][1080/1879] lr: 1.0000e-04 eta: 18:50:11 time: 0.4317 data_time: 0.0168 memory: 17087 grad_norm: 6.7187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9080 loss: 0.9080 2022/08/05 01:02:05 - mmengine - INFO - Epoch(train) [173][1100/1879] lr: 1.0000e-04 eta: 18:50:03 time: 0.4406 data_time: 0.0159 memory: 17087 grad_norm: 6.6872 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6853 loss: 0.6853 2022/08/05 01:02:14 - mmengine - INFO - Epoch(train) [173][1120/1879] lr: 1.0000e-04 eta: 18:49:54 time: 0.4291 data_time: 0.0167 memory: 17087 grad_norm: 6.5662 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8209 loss: 0.8209 2022/08/05 01:02:22 - mmengine - INFO - Epoch(train) [173][1140/1879] lr: 1.0000e-04 eta: 18:49:45 time: 0.4292 data_time: 0.0131 memory: 17087 grad_norm: 6.8772 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8709 loss: 0.8709 2022/08/05 01:02:31 - mmengine - INFO - Epoch(train) [173][1160/1879] lr: 1.0000e-04 eta: 18:49:37 time: 0.4396 data_time: 0.0173 memory: 17087 grad_norm: 6.6738 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0342 loss: 1.0342 2022/08/05 01:02:40 - mmengine - INFO - Epoch(train) [173][1180/1879] lr: 1.0000e-04 eta: 18:49:28 time: 0.4286 data_time: 0.0148 memory: 17087 grad_norm: 6.9198 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8254 loss: 0.8254 2022/08/05 01:02:48 - mmengine - INFO - Epoch(train) [173][1200/1879] lr: 1.0000e-04 eta: 18:49:19 time: 0.4318 data_time: 0.0186 memory: 17087 grad_norm: 6.8081 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7232 loss: 0.7232 2022/08/05 01:02:57 - mmengine - INFO - Epoch(train) [173][1220/1879] lr: 1.0000e-04 eta: 18:49:11 time: 0.4322 data_time: 0.0149 memory: 17087 grad_norm: 6.6835 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8312 loss: 0.8312 2022/08/05 01:03:06 - mmengine - INFO - Epoch(train) [173][1240/1879] lr: 1.0000e-04 eta: 18:49:02 time: 0.4324 data_time: 0.0173 memory: 17087 grad_norm: 7.0292 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8429 loss: 0.8429 2022/08/05 01:03:15 - mmengine - INFO - Epoch(train) [173][1260/1879] lr: 1.0000e-04 eta: 18:48:54 time: 0.4586 data_time: 0.0203 memory: 17087 grad_norm: 6.9756 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9323 loss: 0.9323 2022/08/05 01:03:24 - mmengine - INFO - Epoch(train) [173][1280/1879] lr: 1.0000e-04 eta: 18:48:45 time: 0.4318 data_time: 0.0151 memory: 17087 grad_norm: 6.7343 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8829 loss: 0.8829 2022/08/05 01:03:32 - mmengine - INFO - Epoch(train) [173][1300/1879] lr: 1.0000e-04 eta: 18:48:36 time: 0.4351 data_time: 0.0179 memory: 17087 grad_norm: 6.5967 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6561 loss: 0.6561 2022/08/05 01:03:41 - mmengine - INFO - Epoch(train) [173][1320/1879] lr: 1.0000e-04 eta: 18:48:28 time: 0.4541 data_time: 0.0160 memory: 17087 grad_norm: 6.6170 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8128 loss: 0.8128 2022/08/05 01:03:50 - mmengine - INFO - Epoch(train) [173][1340/1879] lr: 1.0000e-04 eta: 18:48:19 time: 0.4459 data_time: 0.0197 memory: 17087 grad_norm: 6.5523 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8853 loss: 0.8853 2022/08/05 01:03:59 - mmengine - INFO - Epoch(train) [173][1360/1879] lr: 1.0000e-04 eta: 18:48:11 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 6.8731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7361 loss: 0.7361 2022/08/05 01:04:08 - mmengine - INFO - Epoch(train) [173][1380/1879] lr: 1.0000e-04 eta: 18:48:02 time: 0.4348 data_time: 0.0148 memory: 17087 grad_norm: 6.6266 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7394 loss: 0.7394 2022/08/05 01:04:16 - mmengine - INFO - Epoch(train) [173][1400/1879] lr: 1.0000e-04 eta: 18:47:53 time: 0.4303 data_time: 0.0160 memory: 17087 grad_norm: 6.8332 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8146 loss: 0.8146 2022/08/05 01:04:25 - mmengine - INFO - Epoch(train) [173][1420/1879] lr: 1.0000e-04 eta: 18:47:45 time: 0.4560 data_time: 0.0186 memory: 17087 grad_norm: 6.6034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7781 loss: 0.7781 2022/08/05 01:04:34 - mmengine - INFO - Epoch(train) [173][1440/1879] lr: 1.0000e-04 eta: 18:47:36 time: 0.4290 data_time: 0.0155 memory: 17087 grad_norm: 7.0790 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9751 loss: 0.9751 2022/08/05 01:04:43 - mmengine - INFO - Epoch(train) [173][1460/1879] lr: 1.0000e-04 eta: 18:47:28 time: 0.4278 data_time: 0.0135 memory: 17087 grad_norm: 7.1011 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7819 loss: 0.7819 2022/08/05 01:04:52 - mmengine - INFO - Epoch(train) [173][1480/1879] lr: 1.0000e-04 eta: 18:47:19 time: 0.4708 data_time: 0.0178 memory: 17087 grad_norm: 6.7440 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7716 loss: 0.7716 2022/08/05 01:05:01 - mmengine - INFO - Epoch(train) [173][1500/1879] lr: 1.0000e-04 eta: 18:47:11 time: 0.4276 data_time: 0.0147 memory: 17087 grad_norm: 6.8952 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9043 loss: 0.9043 2022/08/05 01:05:09 - mmengine - INFO - Epoch(train) [173][1520/1879] lr: 1.0000e-04 eta: 18:47:02 time: 0.4406 data_time: 0.0166 memory: 17087 grad_norm: 6.6247 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8210 loss: 0.8210 2022/08/05 01:05:18 - mmengine - INFO - Epoch(train) [173][1540/1879] lr: 1.0000e-04 eta: 18:46:53 time: 0.4292 data_time: 0.0145 memory: 17087 grad_norm: 6.8182 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8527 loss: 0.8527 2022/08/05 01:05:27 - mmengine - INFO - Epoch(train) [173][1560/1879] lr: 1.0000e-04 eta: 18:46:45 time: 0.4412 data_time: 0.0175 memory: 17087 grad_norm: 6.7893 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0025 loss: 1.0025 2022/08/05 01:05:35 - mmengine - INFO - Epoch(train) [173][1580/1879] lr: 1.0000e-04 eta: 18:46:36 time: 0.4284 data_time: 0.0145 memory: 17087 grad_norm: 6.8955 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7653 loss: 0.7653 2022/08/05 01:05:44 - mmengine - INFO - Epoch(train) [173][1600/1879] lr: 1.0000e-04 eta: 18:46:27 time: 0.4339 data_time: 0.0156 memory: 17087 grad_norm: 6.7951 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7834 loss: 0.7834 2022/08/05 01:05:53 - mmengine - INFO - Epoch(train) [173][1620/1879] lr: 1.0000e-04 eta: 18:46:19 time: 0.4283 data_time: 0.0142 memory: 17087 grad_norm: 6.7524 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7876 loss: 0.7876 2022/08/05 01:06:01 - mmengine - INFO - Epoch(train) [173][1640/1879] lr: 1.0000e-04 eta: 18:46:10 time: 0.4305 data_time: 0.0158 memory: 17087 grad_norm: 6.7485 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7403 loss: 0.7403 2022/08/05 01:06:10 - mmengine - INFO - Epoch(train) [173][1660/1879] lr: 1.0000e-04 eta: 18:46:01 time: 0.4361 data_time: 0.0165 memory: 17087 grad_norm: 6.7363 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6596 loss: 0.6596 2022/08/05 01:06:19 - mmengine - INFO - Epoch(train) [173][1680/1879] lr: 1.0000e-04 eta: 18:45:53 time: 0.4311 data_time: 0.0162 memory: 17087 grad_norm: 7.0217 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9114 loss: 0.9114 2022/08/05 01:06:27 - mmengine - INFO - Epoch(train) [173][1700/1879] lr: 1.0000e-04 eta: 18:45:44 time: 0.4304 data_time: 0.0147 memory: 17087 grad_norm: 6.7930 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9039 loss: 0.9039 2022/08/05 01:06:36 - mmengine - INFO - Epoch(train) [173][1720/1879] lr: 1.0000e-04 eta: 18:45:35 time: 0.4319 data_time: 0.0193 memory: 17087 grad_norm: 6.8876 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8502 loss: 0.8502 2022/08/05 01:06:45 - mmengine - INFO - Epoch(train) [173][1740/1879] lr: 1.0000e-04 eta: 18:45:27 time: 0.4416 data_time: 0.0172 memory: 17087 grad_norm: 6.7183 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7486 loss: 0.7486 2022/08/05 01:06:53 - mmengine - INFO - Epoch(train) [173][1760/1879] lr: 1.0000e-04 eta: 18:45:18 time: 0.4294 data_time: 0.0164 memory: 17087 grad_norm: 6.5316 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8532 loss: 0.8532 2022/08/05 01:07:02 - mmengine - INFO - Epoch(train) [173][1780/1879] lr: 1.0000e-04 eta: 18:45:10 time: 0.4366 data_time: 0.0151 memory: 17087 grad_norm: 7.0045 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7534 loss: 0.7534 2022/08/05 01:07:11 - mmengine - INFO - Epoch(train) [173][1800/1879] lr: 1.0000e-04 eta: 18:45:01 time: 0.4362 data_time: 0.0176 memory: 17087 grad_norm: 6.5564 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0194 loss: 1.0194 2022/08/05 01:07:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 01:07:20 - mmengine - INFO - Epoch(train) [173][1820/1879] lr: 1.0000e-04 eta: 18:44:52 time: 0.4289 data_time: 0.0143 memory: 17087 grad_norm: 6.8112 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9039 loss: 0.9039 2022/08/05 01:07:28 - mmengine - INFO - Epoch(train) [173][1840/1879] lr: 1.0000e-04 eta: 18:44:44 time: 0.4476 data_time: 0.0165 memory: 17087 grad_norm: 6.7289 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8083 loss: 0.8083 2022/08/05 01:07:37 - mmengine - INFO - Epoch(train) [173][1860/1879] lr: 1.0000e-04 eta: 18:44:35 time: 0.4360 data_time: 0.0167 memory: 17087 grad_norm: 6.9445 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9026 loss: 0.9026 2022/08/05 01:07:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 01:07:45 - mmengine - INFO - Epoch(train) [173][1879/1879] lr: 1.0000e-04 eta: 18:44:35 time: 0.4097 data_time: 0.0139 memory: 17087 grad_norm: 6.7999 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7979 loss: 0.7979 2022/08/05 01:07:57 - mmengine - INFO - Epoch(train) [174][20/1879] lr: 1.0000e-04 eta: 18:44:16 time: 0.5741 data_time: 0.1477 memory: 17087 grad_norm: 6.8069 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8147 loss: 0.8147 2022/08/05 01:08:06 - mmengine - INFO - Epoch(train) [174][40/1879] lr: 1.0000e-04 eta: 18:44:07 time: 0.4475 data_time: 0.0210 memory: 17087 grad_norm: 6.7333 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7140 loss: 0.7140 2022/08/05 01:08:14 - mmengine - INFO - Epoch(train) [174][60/1879] lr: 1.0000e-04 eta: 18:43:59 time: 0.4303 data_time: 0.0147 memory: 17087 grad_norm: 6.6245 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7946 loss: 0.7946 2022/08/05 01:08:23 - mmengine - INFO - Epoch(train) [174][80/1879] lr: 1.0000e-04 eta: 18:43:50 time: 0.4316 data_time: 0.0171 memory: 17087 grad_norm: 6.7692 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8478 loss: 0.8478 2022/08/05 01:08:32 - mmengine - INFO - Epoch(train) [174][100/1879] lr: 1.0000e-04 eta: 18:43:41 time: 0.4383 data_time: 0.0129 memory: 17087 grad_norm: 6.4460 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8812 loss: 0.8812 2022/08/05 01:08:40 - mmengine - INFO - Epoch(train) [174][120/1879] lr: 1.0000e-04 eta: 18:43:33 time: 0.4348 data_time: 0.0169 memory: 17087 grad_norm: 6.9920 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8085 loss: 0.8085 2022/08/05 01:08:49 - mmengine - INFO - Epoch(train) [174][140/1879] lr: 1.0000e-04 eta: 18:43:24 time: 0.4304 data_time: 0.0143 memory: 17087 grad_norm: 6.5029 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8816 loss: 0.8816 2022/08/05 01:08:58 - mmengine - INFO - Epoch(train) [174][160/1879] lr: 1.0000e-04 eta: 18:43:15 time: 0.4314 data_time: 0.0163 memory: 17087 grad_norm: 6.9080 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9152 loss: 0.9152 2022/08/05 01:09:07 - mmengine - INFO - Epoch(train) [174][180/1879] lr: 1.0000e-04 eta: 18:43:07 time: 0.4469 data_time: 0.0147 memory: 17087 grad_norm: 6.9740 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7408 loss: 0.7408 2022/08/05 01:09:15 - mmengine - INFO - Epoch(train) [174][200/1879] lr: 1.0000e-04 eta: 18:42:58 time: 0.4402 data_time: 0.0178 memory: 17087 grad_norm: 6.7279 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7219 loss: 0.7219 2022/08/05 01:09:24 - mmengine - INFO - Epoch(train) [174][220/1879] lr: 1.0000e-04 eta: 18:42:50 time: 0.4276 data_time: 0.0135 memory: 17087 grad_norm: 6.8170 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8938 loss: 0.8938 2022/08/05 01:09:33 - mmengine - INFO - Epoch(train) [174][240/1879] lr: 1.0000e-04 eta: 18:42:41 time: 0.4309 data_time: 0.0170 memory: 17087 grad_norm: 6.6581 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8861 loss: 0.8861 2022/08/05 01:09:42 - mmengine - INFO - Epoch(train) [174][260/1879] lr: 1.0000e-04 eta: 18:42:32 time: 0.4515 data_time: 0.0167 memory: 17087 grad_norm: 6.8371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8224 loss: 0.8224 2022/08/05 01:09:50 - mmengine - INFO - Epoch(train) [174][280/1879] lr: 1.0000e-04 eta: 18:42:24 time: 0.4313 data_time: 0.0162 memory: 17087 grad_norm: 6.7034 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8395 loss: 0.8395 2022/08/05 01:09:59 - mmengine - INFO - Epoch(train) [174][300/1879] lr: 1.0000e-04 eta: 18:42:15 time: 0.4402 data_time: 0.0164 memory: 17087 grad_norm: 7.0219 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8489 loss: 0.8489 2022/08/05 01:10:08 - mmengine - INFO - Epoch(train) [174][320/1879] lr: 1.0000e-04 eta: 18:42:07 time: 0.4379 data_time: 0.0160 memory: 17087 grad_norm: 6.5478 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8376 loss: 0.8376 2022/08/05 01:10:17 - mmengine - INFO - Epoch(train) [174][340/1879] lr: 1.0000e-04 eta: 18:41:58 time: 0.4359 data_time: 0.0156 memory: 17087 grad_norm: 6.9208 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8007 loss: 0.8007 2022/08/05 01:10:26 - mmengine - INFO - Epoch(train) [174][360/1879] lr: 1.0000e-04 eta: 18:41:49 time: 0.4500 data_time: 0.0167 memory: 17087 grad_norm: 6.8007 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7291 loss: 0.7291 2022/08/05 01:10:34 - mmengine - INFO - Epoch(train) [174][380/1879] lr: 1.0000e-04 eta: 18:41:41 time: 0.4365 data_time: 0.0155 memory: 17087 grad_norm: 6.8892 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9129 loss: 0.9129 2022/08/05 01:10:43 - mmengine - INFO - Epoch(train) [174][400/1879] lr: 1.0000e-04 eta: 18:41:32 time: 0.4305 data_time: 0.0180 memory: 17087 grad_norm: 6.6842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8087 loss: 0.8087 2022/08/05 01:10:52 - mmengine - INFO - Epoch(train) [174][420/1879] lr: 1.0000e-04 eta: 18:41:23 time: 0.4342 data_time: 0.0150 memory: 17087 grad_norm: 6.9601 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8752 loss: 0.8752 2022/08/05 01:11:00 - mmengine - INFO - Epoch(train) [174][440/1879] lr: 1.0000e-04 eta: 18:41:15 time: 0.4322 data_time: 0.0172 memory: 17087 grad_norm: 6.7811 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9870 loss: 0.9870 2022/08/05 01:11:09 - mmengine - INFO - Epoch(train) [174][460/1879] lr: 1.0000e-04 eta: 18:41:06 time: 0.4472 data_time: 0.0154 memory: 17087 grad_norm: 6.6697 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8290 loss: 0.8290 2022/08/05 01:11:18 - mmengine - INFO - Epoch(train) [174][480/1879] lr: 1.0000e-04 eta: 18:40:58 time: 0.4365 data_time: 0.0171 memory: 17087 grad_norm: 6.6693 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8750 loss: 0.8750 2022/08/05 01:11:27 - mmengine - INFO - Epoch(train) [174][500/1879] lr: 1.0000e-04 eta: 18:40:49 time: 0.4346 data_time: 0.0181 memory: 17087 grad_norm: 6.6826 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7111 loss: 0.7111 2022/08/05 01:11:35 - mmengine - INFO - Epoch(train) [174][520/1879] lr: 1.0000e-04 eta: 18:40:40 time: 0.4338 data_time: 0.0177 memory: 17087 grad_norm: 6.7089 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9646 loss: 0.9646 2022/08/05 01:11:44 - mmengine - INFO - Epoch(train) [174][540/1879] lr: 1.0000e-04 eta: 18:40:32 time: 0.4297 data_time: 0.0168 memory: 17087 grad_norm: 6.6694 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8420 loss: 0.8420 2022/08/05 01:11:53 - mmengine - INFO - Epoch(train) [174][560/1879] lr: 1.0000e-04 eta: 18:40:23 time: 0.4363 data_time: 0.0186 memory: 17087 grad_norm: 6.7722 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.1173 loss: 1.1173 2022/08/05 01:12:01 - mmengine - INFO - Epoch(train) [174][580/1879] lr: 1.0000e-04 eta: 18:40:14 time: 0.4320 data_time: 0.0156 memory: 17087 grad_norm: 6.9489 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8158 loss: 0.8158 2022/08/05 01:12:11 - mmengine - INFO - Epoch(train) [174][600/1879] lr: 1.0000e-04 eta: 18:40:06 time: 0.4516 data_time: 0.0168 memory: 17087 grad_norm: 6.5518 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7219 loss: 0.7219 2022/08/05 01:12:19 - mmengine - INFO - Epoch(train) [174][620/1879] lr: 1.0000e-04 eta: 18:39:57 time: 0.4294 data_time: 0.0153 memory: 17087 grad_norm: 6.7741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9205 loss: 0.9205 2022/08/05 01:12:28 - mmengine - INFO - Epoch(train) [174][640/1879] lr: 1.0000e-04 eta: 18:39:49 time: 0.4521 data_time: 0.0235 memory: 17087 grad_norm: 6.7163 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9137 loss: 0.9137 2022/08/05 01:12:37 - mmengine - INFO - Epoch(train) [174][660/1879] lr: 1.0000e-04 eta: 18:39:40 time: 0.4283 data_time: 0.0135 memory: 17087 grad_norm: 6.8186 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9032 loss: 0.9032 2022/08/05 01:12:46 - mmengine - INFO - Epoch(train) [174][680/1879] lr: 1.0000e-04 eta: 18:39:32 time: 0.4671 data_time: 0.0194 memory: 17087 grad_norm: 6.5821 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8801 loss: 0.8801 2022/08/05 01:12:55 - mmengine - INFO - Epoch(train) [174][700/1879] lr: 1.0000e-04 eta: 18:39:23 time: 0.4303 data_time: 0.0148 memory: 17087 grad_norm: 6.7714 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7760 loss: 0.7760 2022/08/05 01:13:03 - mmengine - INFO - Epoch(train) [174][720/1879] lr: 1.0000e-04 eta: 18:39:15 time: 0.4340 data_time: 0.0198 memory: 17087 grad_norm: 6.9593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8744 loss: 0.8744 2022/08/05 01:13:13 - mmengine - INFO - Epoch(train) [174][740/1879] lr: 1.0000e-04 eta: 18:39:06 time: 0.4579 data_time: 0.0184 memory: 17087 grad_norm: 6.6914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7735 loss: 0.7735 2022/08/05 01:13:21 - mmengine - INFO - Epoch(train) [174][760/1879] lr: 1.0000e-04 eta: 18:38:57 time: 0.4286 data_time: 0.0157 memory: 17087 grad_norm: 6.8175 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9165 loss: 0.9165 2022/08/05 01:13:30 - mmengine - INFO - Epoch(train) [174][780/1879] lr: 1.0000e-04 eta: 18:38:49 time: 0.4608 data_time: 0.0208 memory: 17087 grad_norm: 6.5815 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7482 loss: 0.7482 2022/08/05 01:13:39 - mmengine - INFO - Epoch(train) [174][800/1879] lr: 1.0000e-04 eta: 18:38:40 time: 0.4303 data_time: 0.0163 memory: 17087 grad_norm: 6.8949 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7209 loss: 0.7209 2022/08/05 01:13:48 - mmengine - INFO - Epoch(train) [174][820/1879] lr: 1.0000e-04 eta: 18:38:32 time: 0.4512 data_time: 0.0216 memory: 17087 grad_norm: 6.8395 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9243 loss: 0.9243 2022/08/05 01:13:57 - mmengine - INFO - Epoch(train) [174][840/1879] lr: 1.0000e-04 eta: 18:38:23 time: 0.4298 data_time: 0.0164 memory: 17087 grad_norm: 7.0757 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8196 loss: 0.8196 2022/08/05 01:14:06 - mmengine - INFO - Epoch(train) [174][860/1879] lr: 1.0000e-04 eta: 18:38:15 time: 0.4662 data_time: 0.0176 memory: 17087 grad_norm: 6.9381 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8284 loss: 0.8284 2022/08/05 01:14:15 - mmengine - INFO - Epoch(train) [174][880/1879] lr: 1.0000e-04 eta: 18:38:06 time: 0.4286 data_time: 0.0152 memory: 17087 grad_norm: 6.8494 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9233 loss: 0.9233 2022/08/05 01:14:23 - mmengine - INFO - Epoch(train) [174][900/1879] lr: 1.0000e-04 eta: 18:37:58 time: 0.4356 data_time: 0.0200 memory: 17087 grad_norm: 6.8263 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8449 loss: 0.8449 2022/08/05 01:14:33 - mmengine - INFO - Epoch(train) [174][920/1879] lr: 1.0000e-04 eta: 18:37:49 time: 0.4645 data_time: 0.0184 memory: 17087 grad_norm: 6.8176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7461 loss: 0.7461 2022/08/05 01:14:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 01:14:41 - mmengine - INFO - Epoch(train) [174][940/1879] lr: 1.0000e-04 eta: 18:37:41 time: 0.4296 data_time: 0.0151 memory: 17087 grad_norm: 6.9011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7438 loss: 0.7438 2022/08/05 01:14:50 - mmengine - INFO - Epoch(train) [174][960/1879] lr: 1.0000e-04 eta: 18:37:32 time: 0.4457 data_time: 0.0221 memory: 17087 grad_norm: 6.9006 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8315 loss: 0.8315 2022/08/05 01:14:59 - mmengine - INFO - Epoch(train) [174][980/1879] lr: 1.0000e-04 eta: 18:37:23 time: 0.4275 data_time: 0.0147 memory: 17087 grad_norm: 6.7948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8267 loss: 0.8267 2022/08/05 01:15:08 - mmengine - INFO - Epoch(train) [174][1000/1879] lr: 1.0000e-04 eta: 18:37:15 time: 0.4361 data_time: 0.0170 memory: 17087 grad_norm: 6.6119 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8769 loss: 0.8769 2022/08/05 01:15:16 - mmengine - INFO - Epoch(train) [174][1020/1879] lr: 1.0000e-04 eta: 18:37:06 time: 0.4275 data_time: 0.0142 memory: 17087 grad_norm: 6.9055 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8139 loss: 0.8139 2022/08/05 01:15:25 - mmengine - INFO - Epoch(train) [174][1040/1879] lr: 1.0000e-04 eta: 18:36:57 time: 0.4295 data_time: 0.0151 memory: 17087 grad_norm: 6.7416 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8361 loss: 0.8361 2022/08/05 01:15:33 - mmengine - INFO - Epoch(train) [174][1060/1879] lr: 1.0000e-04 eta: 18:36:49 time: 0.4312 data_time: 0.0139 memory: 17087 grad_norm: 6.5292 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7724 loss: 0.7724 2022/08/05 01:15:42 - mmengine - INFO - Epoch(train) [174][1080/1879] lr: 1.0000e-04 eta: 18:36:40 time: 0.4306 data_time: 0.0148 memory: 17087 grad_norm: 6.8696 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8337 loss: 0.8337 2022/08/05 01:15:51 - mmengine - INFO - Epoch(train) [174][1100/1879] lr: 1.0000e-04 eta: 18:36:32 time: 0.4620 data_time: 0.0172 memory: 17087 grad_norm: 6.4997 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7274 loss: 0.7274 2022/08/05 01:16:00 - mmengine - INFO - Epoch(train) [174][1120/1879] lr: 1.0000e-04 eta: 18:36:23 time: 0.4287 data_time: 0.0158 memory: 17087 grad_norm: 6.8759 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8899 loss: 0.8899 2022/08/05 01:16:09 - mmengine - INFO - Epoch(train) [174][1140/1879] lr: 1.0000e-04 eta: 18:36:14 time: 0.4512 data_time: 0.0233 memory: 17087 grad_norm: 6.5942 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8044 loss: 0.8044 2022/08/05 01:16:18 - mmengine - INFO - Epoch(train) [174][1160/1879] lr: 1.0000e-04 eta: 18:36:06 time: 0.4282 data_time: 0.0155 memory: 17087 grad_norm: 6.9407 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8052 loss: 0.8052 2022/08/05 01:16:26 - mmengine - INFO - Epoch(train) [174][1180/1879] lr: 1.0000e-04 eta: 18:35:57 time: 0.4422 data_time: 0.0180 memory: 17087 grad_norm: 6.7114 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9062 loss: 0.9062 2022/08/05 01:16:35 - mmengine - INFO - Epoch(train) [174][1200/1879] lr: 1.0000e-04 eta: 18:35:49 time: 0.4407 data_time: 0.0172 memory: 17087 grad_norm: 6.9710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8721 loss: 0.8721 2022/08/05 01:16:44 - mmengine - INFO - Epoch(train) [174][1220/1879] lr: 1.0000e-04 eta: 18:35:40 time: 0.4294 data_time: 0.0155 memory: 17087 grad_norm: 6.9773 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9819 loss: 0.9819 2022/08/05 01:16:53 - mmengine - INFO - Epoch(train) [174][1240/1879] lr: 1.0000e-04 eta: 18:35:31 time: 0.4421 data_time: 0.0165 memory: 17087 grad_norm: 6.8098 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7596 loss: 0.7596 2022/08/05 01:17:01 - mmengine - INFO - Epoch(train) [174][1260/1879] lr: 1.0000e-04 eta: 18:35:23 time: 0.4292 data_time: 0.0156 memory: 17087 grad_norm: 6.6025 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9508 loss: 0.9508 2022/08/05 01:17:10 - mmengine - INFO - Epoch(train) [174][1280/1879] lr: 1.0000e-04 eta: 18:35:14 time: 0.4597 data_time: 0.0204 memory: 17087 grad_norm: 6.5451 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7926 loss: 0.7926 2022/08/05 01:17:19 - mmengine - INFO - Epoch(train) [174][1300/1879] lr: 1.0000e-04 eta: 18:35:06 time: 0.4311 data_time: 0.0142 memory: 17087 grad_norm: 7.0165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8084 loss: 0.8084 2022/08/05 01:17:28 - mmengine - INFO - Epoch(train) [174][1320/1879] lr: 1.0000e-04 eta: 18:34:57 time: 0.4578 data_time: 0.0224 memory: 17087 grad_norm: 6.9183 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8600 loss: 0.8600 2022/08/05 01:17:37 - mmengine - INFO - Epoch(train) [174][1340/1879] lr: 1.0000e-04 eta: 18:34:49 time: 0.4302 data_time: 0.0145 memory: 17087 grad_norm: 6.6139 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9644 loss: 0.9644 2022/08/05 01:17:46 - mmengine - INFO - Epoch(train) [174][1360/1879] lr: 1.0000e-04 eta: 18:34:40 time: 0.4688 data_time: 0.0234 memory: 17087 grad_norm: 6.8266 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8627 loss: 0.8627 2022/08/05 01:17:55 - mmengine - INFO - Epoch(train) [174][1380/1879] lr: 1.0000e-04 eta: 18:34:32 time: 0.4303 data_time: 0.0146 memory: 17087 grad_norm: 6.7403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8027 loss: 0.8027 2022/08/05 01:18:04 - mmengine - INFO - Epoch(train) [174][1400/1879] lr: 1.0000e-04 eta: 18:34:23 time: 0.4341 data_time: 0.0206 memory: 17087 grad_norm: 6.8512 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0793 loss: 1.0793 2022/08/05 01:18:13 - mmengine - INFO - Epoch(train) [174][1420/1879] lr: 1.0000e-04 eta: 18:34:14 time: 0.4525 data_time: 0.0156 memory: 17087 grad_norm: 6.9845 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9101 loss: 0.9101 2022/08/05 01:18:21 - mmengine - INFO - Epoch(train) [174][1440/1879] lr: 1.0000e-04 eta: 18:34:06 time: 0.4322 data_time: 0.0162 memory: 17087 grad_norm: 6.8600 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0179 loss: 1.0179 2022/08/05 01:18:30 - mmengine - INFO - Epoch(train) [174][1460/1879] lr: 1.0000e-04 eta: 18:33:57 time: 0.4505 data_time: 0.0210 memory: 17087 grad_norm: 6.5924 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7296 loss: 0.7296 2022/08/05 01:18:39 - mmengine - INFO - Epoch(train) [174][1480/1879] lr: 1.0000e-04 eta: 18:33:49 time: 0.4360 data_time: 0.0158 memory: 17087 grad_norm: 6.8719 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8263 loss: 0.8263 2022/08/05 01:18:48 - mmengine - INFO - Epoch(train) [174][1500/1879] lr: 1.0000e-04 eta: 18:33:40 time: 0.4327 data_time: 0.0163 memory: 17087 grad_norm: 6.8946 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0677 loss: 1.0677 2022/08/05 01:18:57 - mmengine - INFO - Epoch(train) [174][1520/1879] lr: 1.0000e-04 eta: 18:33:31 time: 0.4422 data_time: 0.0198 memory: 17087 grad_norm: 6.9027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8293 loss: 0.8293 2022/08/05 01:19:05 - mmengine - INFO - Epoch(train) [174][1540/1879] lr: 1.0000e-04 eta: 18:33:23 time: 0.4293 data_time: 0.0159 memory: 17087 grad_norm: 6.7395 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9130 loss: 0.9130 2022/08/05 01:19:14 - mmengine - INFO - Epoch(train) [174][1560/1879] lr: 1.0000e-04 eta: 18:33:14 time: 0.4310 data_time: 0.0176 memory: 17087 grad_norm: 6.7773 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8742 loss: 0.8742 2022/08/05 01:19:23 - mmengine - INFO - Epoch(train) [174][1580/1879] lr: 1.0000e-04 eta: 18:33:05 time: 0.4316 data_time: 0.0155 memory: 17087 grad_norm: 6.8997 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9462 loss: 0.9462 2022/08/05 01:19:31 - mmengine - INFO - Epoch(train) [174][1600/1879] lr: 1.0000e-04 eta: 18:32:57 time: 0.4360 data_time: 0.0181 memory: 17087 grad_norm: 6.8212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7770 loss: 0.7770 2022/08/05 01:19:40 - mmengine - INFO - Epoch(train) [174][1620/1879] lr: 1.0000e-04 eta: 18:32:48 time: 0.4305 data_time: 0.0143 memory: 17087 grad_norm: 6.8698 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7970 loss: 0.7970 2022/08/05 01:19:49 - mmengine - INFO - Epoch(train) [174][1640/1879] lr: 1.0000e-04 eta: 18:32:40 time: 0.4357 data_time: 0.0196 memory: 17087 grad_norm: 6.3993 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8134 loss: 0.8134 2022/08/05 01:19:57 - mmengine - INFO - Epoch(train) [174][1660/1879] lr: 1.0000e-04 eta: 18:32:31 time: 0.4284 data_time: 0.0157 memory: 17087 grad_norm: 6.6335 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9396 loss: 0.9396 2022/08/05 01:20:06 - mmengine - INFO - Epoch(train) [174][1680/1879] lr: 1.0000e-04 eta: 18:32:22 time: 0.4511 data_time: 0.0185 memory: 17087 grad_norm: 6.7131 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7512 loss: 0.7512 2022/08/05 01:20:15 - mmengine - INFO - Epoch(train) [174][1700/1879] lr: 1.0000e-04 eta: 18:32:14 time: 0.4281 data_time: 0.0136 memory: 17087 grad_norm: 6.6634 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9045 loss: 0.9045 2022/08/05 01:20:24 - mmengine - INFO - Epoch(train) [174][1720/1879] lr: 1.0000e-04 eta: 18:32:05 time: 0.4344 data_time: 0.0216 memory: 17087 grad_norm: 6.8886 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0530 loss: 1.0530 2022/08/05 01:20:33 - mmengine - INFO - Epoch(train) [174][1740/1879] lr: 1.0000e-04 eta: 18:31:57 time: 0.4529 data_time: 0.0172 memory: 17087 grad_norm: 6.6422 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8498 loss: 0.8498 2022/08/05 01:20:41 - mmengine - INFO - Epoch(train) [174][1760/1879] lr: 1.0000e-04 eta: 18:31:48 time: 0.4286 data_time: 0.0152 memory: 17087 grad_norm: 6.9479 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7509 loss: 0.7509 2022/08/05 01:20:50 - mmengine - INFO - Epoch(train) [174][1780/1879] lr: 1.0000e-04 eta: 18:31:39 time: 0.4443 data_time: 0.0221 memory: 17087 grad_norm: 6.6854 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8517 loss: 0.8517 2022/08/05 01:20:59 - mmengine - INFO - Epoch(train) [174][1800/1879] lr: 1.0000e-04 eta: 18:31:31 time: 0.4316 data_time: 0.0186 memory: 17087 grad_norm: 6.7477 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9292 loss: 0.9292 2022/08/05 01:21:07 - mmengine - INFO - Epoch(train) [174][1820/1879] lr: 1.0000e-04 eta: 18:31:22 time: 0.4295 data_time: 0.0163 memory: 17087 grad_norm: 6.8447 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8912 loss: 0.8912 2022/08/05 01:21:16 - mmengine - INFO - Epoch(train) [174][1840/1879] lr: 1.0000e-04 eta: 18:31:13 time: 0.4297 data_time: 0.0153 memory: 17087 grad_norm: 6.8899 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7736 loss: 0.7736 2022/08/05 01:21:25 - mmengine - INFO - Epoch(train) [174][1860/1879] lr: 1.0000e-04 eta: 18:31:05 time: 0.4301 data_time: 0.0162 memory: 17087 grad_norm: 6.8447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8432 loss: 0.8432 2022/08/05 01:21:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 01:21:33 - mmengine - INFO - Epoch(train) [174][1879/1879] lr: 1.0000e-04 eta: 18:31:05 time: 0.4500 data_time: 0.0172 memory: 17087 grad_norm: 7.6326 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8740 loss: 0.8740 2022/08/05 01:21:44 - mmengine - INFO - Epoch(train) [175][20/1879] lr: 1.0000e-04 eta: 18:30:45 time: 0.5554 data_time: 0.1010 memory: 17087 grad_norm: 6.8980 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8765 loss: 0.8765 2022/08/05 01:21:53 - mmengine - INFO - Epoch(train) [175][40/1879] lr: 1.0000e-04 eta: 18:30:36 time: 0.4307 data_time: 0.0159 memory: 17087 grad_norm: 7.0440 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8616 loss: 0.8616 2022/08/05 01:22:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 01:22:02 - mmengine - INFO - Epoch(train) [175][60/1879] lr: 1.0000e-04 eta: 18:30:28 time: 0.4523 data_time: 0.0165 memory: 17087 grad_norm: 6.9290 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7908 loss: 0.7908 2022/08/05 01:22:11 - mmengine - INFO - Epoch(train) [175][80/1879] lr: 1.0000e-04 eta: 18:30:19 time: 0.4321 data_time: 0.0166 memory: 17087 grad_norm: 6.7123 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8752 loss: 0.8752 2022/08/05 01:22:20 - mmengine - INFO - Epoch(train) [175][100/1879] lr: 1.0000e-04 eta: 18:30:11 time: 0.4472 data_time: 0.0181 memory: 17087 grad_norm: 6.6278 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9076 loss: 0.9076 2022/08/05 01:22:29 - mmengine - INFO - Epoch(train) [175][120/1879] lr: 1.0000e-04 eta: 18:30:02 time: 0.4401 data_time: 0.0208 memory: 17087 grad_norm: 6.7274 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7309 loss: 0.7309 2022/08/05 01:22:37 - mmengine - INFO - Epoch(train) [175][140/1879] lr: 1.0000e-04 eta: 18:29:54 time: 0.4335 data_time: 0.0160 memory: 17087 grad_norm: 6.8093 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8849 loss: 0.8849 2022/08/05 01:22:46 - mmengine - INFO - Epoch(train) [175][160/1879] lr: 1.0000e-04 eta: 18:29:45 time: 0.4318 data_time: 0.0169 memory: 17087 grad_norm: 6.8120 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8290 loss: 0.8290 2022/08/05 01:22:55 - mmengine - INFO - Epoch(train) [175][180/1879] lr: 1.0000e-04 eta: 18:29:36 time: 0.4289 data_time: 0.0151 memory: 17087 grad_norm: 6.9550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8794 loss: 0.8794 2022/08/05 01:23:03 - mmengine - INFO - Epoch(train) [175][200/1879] lr: 1.0000e-04 eta: 18:29:28 time: 0.4334 data_time: 0.0169 memory: 17087 grad_norm: 6.5749 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8360 loss: 0.8360 2022/08/05 01:23:12 - mmengine - INFO - Epoch(train) [175][220/1879] lr: 1.0000e-04 eta: 18:29:19 time: 0.4364 data_time: 0.0154 memory: 17087 grad_norm: 6.7085 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9789 loss: 0.9789 2022/08/05 01:23:21 - mmengine - INFO - Epoch(train) [175][240/1879] lr: 1.0000e-04 eta: 18:29:10 time: 0.4413 data_time: 0.0187 memory: 17087 grad_norm: 6.7185 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7863 loss: 0.7863 2022/08/05 01:23:29 - mmengine - INFO - Epoch(train) [175][260/1879] lr: 1.0000e-04 eta: 18:29:02 time: 0.4290 data_time: 0.0151 memory: 17087 grad_norm: 6.7783 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7228 loss: 0.7228 2022/08/05 01:23:39 - mmengine - INFO - Epoch(train) [175][280/1879] lr: 1.0000e-04 eta: 18:28:53 time: 0.4591 data_time: 0.0193 memory: 17087 grad_norm: 6.8819 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8670 loss: 0.8670 2022/08/05 01:23:47 - mmengine - INFO - Epoch(train) [175][300/1879] lr: 1.0000e-04 eta: 18:28:45 time: 0.4381 data_time: 0.0211 memory: 17087 grad_norm: 6.8211 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6984 loss: 0.6984 2022/08/05 01:23:56 - mmengine - INFO - Epoch(train) [175][320/1879] lr: 1.0000e-04 eta: 18:28:36 time: 0.4289 data_time: 0.0163 memory: 17087 grad_norm: 6.7378 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8492 loss: 0.8492 2022/08/05 01:24:05 - mmengine - INFO - Epoch(train) [175][340/1879] lr: 1.0000e-04 eta: 18:28:27 time: 0.4307 data_time: 0.0151 memory: 17087 grad_norm: 6.8350 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8712 loss: 0.8712 2022/08/05 01:24:14 - mmengine - INFO - Epoch(train) [175][360/1879] lr: 1.0000e-04 eta: 18:28:19 time: 0.4591 data_time: 0.0175 memory: 17087 grad_norm: 6.8836 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9136 loss: 0.9136 2022/08/05 01:24:22 - mmengine - INFO - Epoch(train) [175][380/1879] lr: 1.0000e-04 eta: 18:28:10 time: 0.4288 data_time: 0.0138 memory: 17087 grad_norm: 6.6598 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7376 loss: 0.7376 2022/08/05 01:24:32 - mmengine - INFO - Epoch(train) [175][400/1879] lr: 1.0000e-04 eta: 18:28:02 time: 0.4573 data_time: 0.0170 memory: 17087 grad_norm: 6.8607 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8472 loss: 0.8472 2022/08/05 01:24:40 - mmengine - INFO - Epoch(train) [175][420/1879] lr: 1.0000e-04 eta: 18:27:53 time: 0.4285 data_time: 0.0147 memory: 17087 grad_norm: 6.8961 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8822 loss: 0.8822 2022/08/05 01:24:49 - mmengine - INFO - Epoch(train) [175][440/1879] lr: 1.0000e-04 eta: 18:27:45 time: 0.4538 data_time: 0.0176 memory: 17087 grad_norm: 6.6142 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9944 loss: 0.9944 2022/08/05 01:24:58 - mmengine - INFO - Epoch(train) [175][460/1879] lr: 1.0000e-04 eta: 18:27:36 time: 0.4297 data_time: 0.0152 memory: 17087 grad_norm: 6.5936 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7858 loss: 0.7858 2022/08/05 01:25:07 - mmengine - INFO - Epoch(train) [175][480/1879] lr: 1.0000e-04 eta: 18:27:27 time: 0.4347 data_time: 0.0165 memory: 17087 grad_norm: 6.8390 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8524 loss: 0.8524 2022/08/05 01:25:15 - mmengine - INFO - Epoch(train) [175][500/1879] lr: 1.0000e-04 eta: 18:27:19 time: 0.4293 data_time: 0.0142 memory: 17087 grad_norm: 6.8589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7792 loss: 0.7792 2022/08/05 01:25:24 - mmengine - INFO - Epoch(train) [175][520/1879] lr: 1.0000e-04 eta: 18:27:10 time: 0.4355 data_time: 0.0169 memory: 17087 grad_norm: 6.7556 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8486 loss: 0.8486 2022/08/05 01:25:33 - mmengine - INFO - Epoch(train) [175][540/1879] lr: 1.0000e-04 eta: 18:27:02 time: 0.4455 data_time: 0.0142 memory: 17087 grad_norm: 6.7764 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8236 loss: 0.8236 2022/08/05 01:25:41 - mmengine - INFO - Epoch(train) [175][560/1879] lr: 1.0000e-04 eta: 18:26:53 time: 0.4317 data_time: 0.0181 memory: 17087 grad_norm: 6.9078 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9497 loss: 0.9497 2022/08/05 01:25:50 - mmengine - INFO - Epoch(train) [175][580/1879] lr: 1.0000e-04 eta: 18:26:44 time: 0.4372 data_time: 0.0142 memory: 17087 grad_norm: 6.7765 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 0.8097 loss: 0.8097 2022/08/05 01:25:59 - mmengine - INFO - Epoch(train) [175][600/1879] lr: 1.0000e-04 eta: 18:26:36 time: 0.4525 data_time: 0.0165 memory: 17087 grad_norm: 6.6273 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8337 loss: 0.8337 2022/08/05 01:26:08 - mmengine - INFO - Epoch(train) [175][620/1879] lr: 1.0000e-04 eta: 18:26:27 time: 0.4293 data_time: 0.0140 memory: 17087 grad_norm: 7.0529 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8222 loss: 0.8222 2022/08/05 01:26:17 - mmengine - INFO - Epoch(train) [175][640/1879] lr: 1.0000e-04 eta: 18:26:19 time: 0.4583 data_time: 0.0184 memory: 17087 grad_norm: 6.5275 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8345 loss: 0.8345 2022/08/05 01:26:26 - mmengine - INFO - Epoch(train) [175][660/1879] lr: 1.0000e-04 eta: 18:26:10 time: 0.4282 data_time: 0.0142 memory: 17087 grad_norm: 6.7074 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9100 loss: 0.9100 2022/08/05 01:26:34 - mmengine - INFO - Epoch(train) [175][680/1879] lr: 1.0000e-04 eta: 18:26:01 time: 0.4309 data_time: 0.0160 memory: 17087 grad_norm: 6.7103 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9093 loss: 0.9093 2022/08/05 01:26:43 - mmengine - INFO - Epoch(train) [175][700/1879] lr: 1.0000e-04 eta: 18:25:53 time: 0.4368 data_time: 0.0148 memory: 17087 grad_norm: 6.8827 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7743 loss: 0.7743 2022/08/05 01:26:52 - mmengine - INFO - Epoch(train) [175][720/1879] lr: 1.0000e-04 eta: 18:25:44 time: 0.4309 data_time: 0.0159 memory: 17087 grad_norm: 6.9887 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8570 loss: 0.8570 2022/08/05 01:27:00 - mmengine - INFO - Epoch(train) [175][740/1879] lr: 1.0000e-04 eta: 18:25:35 time: 0.4312 data_time: 0.0142 memory: 17087 grad_norm: 6.8359 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7173 loss: 0.7173 2022/08/05 01:27:09 - mmengine - INFO - Epoch(train) [175][760/1879] lr: 1.0000e-04 eta: 18:25:27 time: 0.4297 data_time: 0.0160 memory: 17087 grad_norm: 6.8793 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6783 loss: 0.6783 2022/08/05 01:27:18 - mmengine - INFO - Epoch(train) [175][780/1879] lr: 1.0000e-04 eta: 18:25:18 time: 0.4502 data_time: 0.0154 memory: 17087 grad_norm: 6.8143 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0158 loss: 1.0158 2022/08/05 01:27:27 - mmengine - INFO - Epoch(train) [175][800/1879] lr: 1.0000e-04 eta: 18:25:10 time: 0.4297 data_time: 0.0160 memory: 17087 grad_norm: 7.1805 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9502 loss: 0.9502 2022/08/05 01:27:35 - mmengine - INFO - Epoch(train) [175][820/1879] lr: 1.0000e-04 eta: 18:25:01 time: 0.4285 data_time: 0.0137 memory: 17087 grad_norm: 6.8260 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9047 loss: 0.9047 2022/08/05 01:27:44 - mmengine - INFO - Epoch(train) [175][840/1879] lr: 1.0000e-04 eta: 18:24:52 time: 0.4338 data_time: 0.0192 memory: 17087 grad_norm: 6.6412 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8767 loss: 0.8767 2022/08/05 01:27:53 - mmengine - INFO - Epoch(train) [175][860/1879] lr: 1.0000e-04 eta: 18:24:44 time: 0.4300 data_time: 0.0147 memory: 17087 grad_norm: 6.6996 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8760 loss: 0.8760 2022/08/05 01:28:01 - mmengine - INFO - Epoch(train) [175][880/1879] lr: 1.0000e-04 eta: 18:24:35 time: 0.4446 data_time: 0.0175 memory: 17087 grad_norm: 7.0669 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9464 loss: 0.9464 2022/08/05 01:28:10 - mmengine - INFO - Epoch(train) [175][900/1879] lr: 1.0000e-04 eta: 18:24:26 time: 0.4321 data_time: 0.0164 memory: 17087 grad_norm: 6.7787 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8426 loss: 0.8426 2022/08/05 01:28:19 - mmengine - INFO - Epoch(train) [175][920/1879] lr: 1.0000e-04 eta: 18:24:18 time: 0.4494 data_time: 0.0174 memory: 17087 grad_norm: 6.9755 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9491 loss: 0.9491 2022/08/05 01:28:28 - mmengine - INFO - Epoch(train) [175][940/1879] lr: 1.0000e-04 eta: 18:24:09 time: 0.4356 data_time: 0.0178 memory: 17087 grad_norm: 6.5317 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7668 loss: 0.7668 2022/08/05 01:28:37 - mmengine - INFO - Epoch(train) [175][960/1879] lr: 1.0000e-04 eta: 18:24:01 time: 0.4337 data_time: 0.0172 memory: 17087 grad_norm: 6.8465 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9246 loss: 0.9246 2022/08/05 01:28:45 - mmengine - INFO - Epoch(train) [175][980/1879] lr: 1.0000e-04 eta: 18:23:52 time: 0.4283 data_time: 0.0141 memory: 17087 grad_norm: 6.7380 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7958 loss: 0.7958 2022/08/05 01:28:54 - mmengine - INFO - Epoch(train) [175][1000/1879] lr: 1.0000e-04 eta: 18:23:43 time: 0.4337 data_time: 0.0175 memory: 17087 grad_norm: 6.7730 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9100 loss: 0.9100 2022/08/05 01:29:03 - mmengine - INFO - Epoch(train) [175][1020/1879] lr: 1.0000e-04 eta: 18:23:35 time: 0.4470 data_time: 0.0146 memory: 17087 grad_norm: 6.8069 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9716 loss: 0.9716 2022/08/05 01:29:11 - mmengine - INFO - Epoch(train) [175][1040/1879] lr: 1.0000e-04 eta: 18:23:26 time: 0.4326 data_time: 0.0178 memory: 17087 grad_norm: 7.1851 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8378 loss: 0.8378 2022/08/05 01:29:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 01:29:20 - mmengine - INFO - Epoch(train) [175][1060/1879] lr: 1.0000e-04 eta: 18:23:17 time: 0.4297 data_time: 0.0160 memory: 17087 grad_norm: 6.9548 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8513 loss: 0.8513 2022/08/05 01:29:29 - mmengine - INFO - Epoch(train) [175][1080/1879] lr: 1.0000e-04 eta: 18:23:09 time: 0.4349 data_time: 0.0162 memory: 17087 grad_norm: 6.7007 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8726 loss: 0.8726 2022/08/05 01:29:37 - mmengine - INFO - Epoch(train) [175][1100/1879] lr: 1.0000e-04 eta: 18:23:00 time: 0.4314 data_time: 0.0168 memory: 17087 grad_norm: 6.6180 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9586 loss: 0.9586 2022/08/05 01:29:46 - mmengine - INFO - Epoch(train) [175][1120/1879] lr: 1.0000e-04 eta: 18:22:51 time: 0.4387 data_time: 0.0163 memory: 17087 grad_norm: 6.4908 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9019 loss: 0.9019 2022/08/05 01:29:55 - mmengine - INFO - Epoch(train) [175][1140/1879] lr: 1.0000e-04 eta: 18:22:43 time: 0.4605 data_time: 0.0161 memory: 17087 grad_norm: 6.7185 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9507 loss: 0.9507 2022/08/05 01:30:04 - mmengine - INFO - Epoch(train) [175][1160/1879] lr: 1.0000e-04 eta: 18:22:34 time: 0.4312 data_time: 0.0161 memory: 17087 grad_norm: 6.9517 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8644 loss: 0.8644 2022/08/05 01:30:13 - mmengine - INFO - Epoch(train) [175][1180/1879] lr: 1.0000e-04 eta: 18:22:26 time: 0.4546 data_time: 0.0162 memory: 17087 grad_norm: 6.6468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9137 loss: 0.9137 2022/08/05 01:30:22 - mmengine - INFO - Epoch(train) [175][1200/1879] lr: 1.0000e-04 eta: 18:22:17 time: 0.4312 data_time: 0.0168 memory: 17087 grad_norm: 6.6617 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8990 loss: 0.8990 2022/08/05 01:30:31 - mmengine - INFO - Epoch(train) [175][1220/1879] lr: 1.0000e-04 eta: 18:22:09 time: 0.4609 data_time: 0.0160 memory: 17087 grad_norm: 6.7706 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9689 loss: 0.9689 2022/08/05 01:30:40 - mmengine - INFO - Epoch(train) [175][1240/1879] lr: 1.0000e-04 eta: 18:22:00 time: 0.4310 data_time: 0.0171 memory: 17087 grad_norm: 6.8768 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9555 loss: 0.9555 2022/08/05 01:30:49 - mmengine - INFO - Epoch(train) [175][1260/1879] lr: 1.0000e-04 eta: 18:21:52 time: 0.4705 data_time: 0.0159 memory: 17087 grad_norm: 6.8355 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7783 loss: 0.7783 2022/08/05 01:30:58 - mmengine - INFO - Epoch(train) [175][1280/1879] lr: 1.0000e-04 eta: 18:21:43 time: 0.4287 data_time: 0.0164 memory: 17087 grad_norm: 6.5644 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8780 loss: 0.8780 2022/08/05 01:31:06 - mmengine - INFO - Epoch(train) [175][1300/1879] lr: 1.0000e-04 eta: 18:21:35 time: 0.4329 data_time: 0.0150 memory: 17087 grad_norm: 6.8945 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9453 loss: 0.9453 2022/08/05 01:31:15 - mmengine - INFO - Epoch(train) [175][1320/1879] lr: 1.0000e-04 eta: 18:21:26 time: 0.4302 data_time: 0.0162 memory: 17087 grad_norm: 6.7287 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9879 loss: 0.9879 2022/08/05 01:31:24 - mmengine - INFO - Epoch(train) [175][1340/1879] lr: 1.0000e-04 eta: 18:21:17 time: 0.4282 data_time: 0.0142 memory: 17087 grad_norm: 6.6858 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7506 loss: 0.7506 2022/08/05 01:31:33 - mmengine - INFO - Epoch(train) [175][1360/1879] lr: 1.0000e-04 eta: 18:21:09 time: 0.4631 data_time: 0.0177 memory: 17087 grad_norm: 6.7403 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7879 loss: 0.7879 2022/08/05 01:31:41 - mmengine - INFO - Epoch(train) [175][1380/1879] lr: 1.0000e-04 eta: 18:21:00 time: 0.4284 data_time: 0.0140 memory: 17087 grad_norm: 6.3558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7302 loss: 0.7302 2022/08/05 01:31:51 - mmengine - INFO - Epoch(train) [175][1400/1879] lr: 1.0000e-04 eta: 18:20:52 time: 0.4566 data_time: 0.0207 memory: 17087 grad_norm: 6.8077 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0195 loss: 1.0195 2022/08/05 01:31:59 - mmengine - INFO - Epoch(train) [175][1420/1879] lr: 1.0000e-04 eta: 18:20:43 time: 0.4344 data_time: 0.0144 memory: 17087 grad_norm: 6.9117 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9101 loss: 0.9101 2022/08/05 01:32:08 - mmengine - INFO - Epoch(train) [175][1440/1879] lr: 1.0000e-04 eta: 18:20:34 time: 0.4334 data_time: 0.0171 memory: 17087 grad_norm: 6.7270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8160 loss: 0.8160 2022/08/05 01:32:17 - mmengine - INFO - Epoch(train) [175][1460/1879] lr: 1.0000e-04 eta: 18:20:26 time: 0.4301 data_time: 0.0155 memory: 17087 grad_norm: 6.8578 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8989 loss: 0.8989 2022/08/05 01:32:25 - mmengine - INFO - Epoch(train) [175][1480/1879] lr: 1.0000e-04 eta: 18:20:17 time: 0.4309 data_time: 0.0160 memory: 17087 grad_norm: 6.6944 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8071 loss: 0.8071 2022/08/05 01:32:34 - mmengine - INFO - Epoch(train) [175][1500/1879] lr: 1.0000e-04 eta: 18:20:08 time: 0.4300 data_time: 0.0130 memory: 17087 grad_norm: 6.8749 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9260 loss: 0.9260 2022/08/05 01:32:43 - mmengine - INFO - Epoch(train) [175][1520/1879] lr: 1.0000e-04 eta: 18:20:00 time: 0.4429 data_time: 0.0224 memory: 17087 grad_norm: 6.6382 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9129 loss: 0.9129 2022/08/05 01:32:51 - mmengine - INFO - Epoch(train) [175][1540/1879] lr: 1.0000e-04 eta: 18:19:51 time: 0.4272 data_time: 0.0143 memory: 17087 grad_norm: 6.6519 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7879 loss: 0.7879 2022/08/05 01:33:00 - mmengine - INFO - Epoch(train) [175][1560/1879] lr: 1.0000e-04 eta: 18:19:43 time: 0.4357 data_time: 0.0158 memory: 17087 grad_norm: 6.7564 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9354 loss: 0.9354 2022/08/05 01:33:09 - mmengine - INFO - Epoch(train) [175][1580/1879] lr: 1.0000e-04 eta: 18:19:34 time: 0.4309 data_time: 0.0161 memory: 17087 grad_norm: 7.0317 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8705 loss: 0.8705 2022/08/05 01:33:17 - mmengine - INFO - Epoch(train) [175][1600/1879] lr: 1.0000e-04 eta: 18:19:25 time: 0.4295 data_time: 0.0155 memory: 17087 grad_norm: 6.6902 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9295 loss: 0.9295 2022/08/05 01:33:26 - mmengine - INFO - Epoch(train) [175][1620/1879] lr: 1.0000e-04 eta: 18:19:17 time: 0.4289 data_time: 0.0138 memory: 17087 grad_norm: 6.5306 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8366 loss: 0.8366 2022/08/05 01:33:35 - mmengine - INFO - Epoch(train) [175][1640/1879] lr: 1.0000e-04 eta: 18:19:08 time: 0.4554 data_time: 0.0166 memory: 17087 grad_norm: 6.8458 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7778 loss: 0.7778 2022/08/05 01:33:44 - mmengine - INFO - Epoch(train) [175][1660/1879] lr: 1.0000e-04 eta: 18:19:00 time: 0.4478 data_time: 0.0156 memory: 17087 grad_norm: 6.7559 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8037 loss: 0.8037 2022/08/05 01:33:53 - mmengine - INFO - Epoch(train) [175][1680/1879] lr: 1.0000e-04 eta: 18:18:51 time: 0.4304 data_time: 0.0157 memory: 17087 grad_norm: 6.8063 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8315 loss: 0.8315 2022/08/05 01:34:01 - mmengine - INFO - Epoch(train) [175][1700/1879] lr: 1.0000e-04 eta: 18:18:42 time: 0.4378 data_time: 0.0198 memory: 17087 grad_norm: 6.6911 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7776 loss: 0.7776 2022/08/05 01:34:10 - mmengine - INFO - Epoch(train) [175][1720/1879] lr: 1.0000e-04 eta: 18:18:34 time: 0.4304 data_time: 0.0170 memory: 17087 grad_norm: 6.6467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8537 loss: 0.8537 2022/08/05 01:34:19 - mmengine - INFO - Epoch(train) [175][1740/1879] lr: 1.0000e-04 eta: 18:18:25 time: 0.4337 data_time: 0.0158 memory: 17087 grad_norm: 6.8675 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8238 loss: 0.8238 2022/08/05 01:34:27 - mmengine - INFO - Epoch(train) [175][1760/1879] lr: 1.0000e-04 eta: 18:18:16 time: 0.4337 data_time: 0.0201 memory: 17087 grad_norm: 6.6943 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8825 loss: 0.8825 2022/08/05 01:34:36 - mmengine - INFO - Epoch(train) [175][1780/1879] lr: 1.0000e-04 eta: 18:18:08 time: 0.4283 data_time: 0.0156 memory: 17087 grad_norm: 6.7560 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8614 loss: 0.8614 2022/08/05 01:34:45 - mmengine - INFO - Epoch(train) [175][1800/1879] lr: 1.0000e-04 eta: 18:17:59 time: 0.4647 data_time: 0.0176 memory: 17087 grad_norm: 6.5469 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7897 loss: 0.7897 2022/08/05 01:34:54 - mmengine - INFO - Epoch(train) [175][1820/1879] lr: 1.0000e-04 eta: 18:17:51 time: 0.4292 data_time: 0.0164 memory: 17087 grad_norm: 6.9556 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.1684 loss: 1.1684 2022/08/05 01:35:03 - mmengine - INFO - Epoch(train) [175][1840/1879] lr: 1.0000e-04 eta: 18:17:42 time: 0.4377 data_time: 0.0169 memory: 17087 grad_norm: 6.6480 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8408 loss: 0.8408 2022/08/05 01:35:11 - mmengine - INFO - Epoch(train) [175][1860/1879] lr: 1.0000e-04 eta: 18:17:33 time: 0.4380 data_time: 0.0138 memory: 17087 grad_norm: 6.9150 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8140 loss: 0.8140 2022/08/05 01:35:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 01:35:20 - mmengine - INFO - Epoch(train) [175][1879/1879] lr: 1.0000e-04 eta: 18:17:33 time: 0.4403 data_time: 0.0171 memory: 17087 grad_norm: 6.8718 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9368 loss: 0.9368 2022/08/05 01:35:27 - mmengine - INFO - Epoch(val) [175][20/155] eta: 0:00:51 time: 0.3805 data_time: 0.2120 memory: 2821 2022/08/05 01:35:32 - mmengine - INFO - Epoch(val) [175][40/155] eta: 0:00:27 time: 0.2432 data_time: 0.0733 memory: 2821 2022/08/05 01:35:39 - mmengine - INFO - Epoch(val) [175][60/155] eta: 0:00:29 time: 0.3133 data_time: 0.1385 memory: 2821 2022/08/05 01:35:44 - mmengine - INFO - Epoch(val) [175][80/155] eta: 0:00:19 time: 0.2646 data_time: 0.0983 memory: 2821 2022/08/05 01:35:50 - mmengine - INFO - Epoch(val) [175][100/155] eta: 0:00:16 time: 0.3042 data_time: 0.1363 memory: 2821 2022/08/05 01:35:56 - mmengine - INFO - Epoch(val) [175][120/155] eta: 0:00:09 time: 0.2826 data_time: 0.1155 memory: 2821 2022/08/05 01:36:02 - mmengine - INFO - Epoch(val) [175][140/155] eta: 0:00:04 time: 0.3237 data_time: 0.1562 memory: 2821 2022/08/05 01:36:07 - mmengine - INFO - Epoch(val) [175][155/155] acc/top1: 0.6987 acc/top5: 0.8830 acc/mean1: 0.6986 2022/08/05 01:36:19 - mmengine - INFO - Epoch(train) [176][20/1879] lr: 1.0000e-04 eta: 18:17:14 time: 0.5692 data_time: 0.1172 memory: 17087 grad_norm: 6.7434 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9329 loss: 0.9329 2022/08/05 01:36:27 - mmengine - INFO - Epoch(train) [176][40/1879] lr: 1.0000e-04 eta: 18:17:05 time: 0.4404 data_time: 0.0237 memory: 17087 grad_norm: 6.6392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8849 loss: 0.8849 2022/08/05 01:36:36 - mmengine - INFO - Epoch(train) [176][60/1879] lr: 1.0000e-04 eta: 18:16:57 time: 0.4304 data_time: 0.0150 memory: 17087 grad_norm: 6.7425 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9302 loss: 0.9302 2022/08/05 01:36:45 - mmengine - INFO - Epoch(train) [176][80/1879] lr: 1.0000e-04 eta: 18:16:48 time: 0.4383 data_time: 0.0231 memory: 17087 grad_norm: 6.7411 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8072 loss: 0.8072 2022/08/05 01:36:54 - mmengine - INFO - Epoch(train) [176][100/1879] lr: 1.0000e-04 eta: 18:16:39 time: 0.4321 data_time: 0.0145 memory: 17087 grad_norm: 6.8566 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9192 loss: 0.9192 2022/08/05 01:37:02 - mmengine - INFO - Epoch(train) [176][120/1879] lr: 1.0000e-04 eta: 18:16:31 time: 0.4321 data_time: 0.0187 memory: 17087 grad_norm: 6.9670 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9001 loss: 0.9001 2022/08/05 01:37:11 - mmengine - INFO - Epoch(train) [176][140/1879] lr: 1.0000e-04 eta: 18:16:22 time: 0.4322 data_time: 0.0140 memory: 17087 grad_norm: 6.5942 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7605 loss: 0.7605 2022/08/05 01:37:20 - mmengine - INFO - Epoch(train) [176][160/1879] lr: 1.0000e-04 eta: 18:16:14 time: 0.4341 data_time: 0.0178 memory: 17087 grad_norm: 6.8927 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8120 loss: 0.8120 2022/08/05 01:37:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 01:37:28 - mmengine - INFO - Epoch(train) [176][180/1879] lr: 1.0000e-04 eta: 18:16:05 time: 0.4279 data_time: 0.0143 memory: 17087 grad_norm: 6.8244 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8413 loss: 0.8413 2022/08/05 01:37:37 - mmengine - INFO - Epoch(train) [176][200/1879] lr: 1.0000e-04 eta: 18:15:56 time: 0.4324 data_time: 0.0153 memory: 17087 grad_norm: 7.0429 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7649 loss: 0.7649 2022/08/05 01:37:46 - mmengine - INFO - Epoch(train) [176][220/1879] lr: 1.0000e-04 eta: 18:15:48 time: 0.4514 data_time: 0.0143 memory: 17087 grad_norm: 6.6019 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7923 loss: 0.7923 2022/08/05 01:37:54 - mmengine - INFO - Epoch(train) [176][240/1879] lr: 1.0000e-04 eta: 18:15:39 time: 0.4302 data_time: 0.0154 memory: 17087 grad_norm: 6.7795 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7203 loss: 0.7203 2022/08/05 01:38:04 - mmengine - INFO - Epoch(train) [176][260/1879] lr: 1.0000e-04 eta: 18:15:31 time: 0.4509 data_time: 0.0142 memory: 17087 grad_norm: 6.7781 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6821 loss: 0.6821 2022/08/05 01:38:12 - mmengine - INFO - Epoch(train) [176][280/1879] lr: 1.0000e-04 eta: 18:15:22 time: 0.4316 data_time: 0.0173 memory: 17087 grad_norm: 6.8085 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7821 loss: 0.7821 2022/08/05 01:38:21 - mmengine - INFO - Epoch(train) [176][300/1879] lr: 1.0000e-04 eta: 18:15:13 time: 0.4476 data_time: 0.0151 memory: 17087 grad_norm: 6.7613 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6774 loss: 0.6774 2022/08/05 01:38:30 - mmengine - INFO - Epoch(train) [176][320/1879] lr: 1.0000e-04 eta: 18:15:05 time: 0.4363 data_time: 0.0226 memory: 17087 grad_norm: 6.9059 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8041 loss: 0.8041 2022/08/05 01:38:39 - mmengine - INFO - Epoch(train) [176][340/1879] lr: 1.0000e-04 eta: 18:14:56 time: 0.4299 data_time: 0.0162 memory: 17087 grad_norm: 6.5947 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9744 loss: 0.9744 2022/08/05 01:38:47 - mmengine - INFO - Epoch(train) [176][360/1879] lr: 1.0000e-04 eta: 18:14:47 time: 0.4289 data_time: 0.0158 memory: 17087 grad_norm: 6.7272 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7654 loss: 0.7654 2022/08/05 01:38:56 - mmengine - INFO - Epoch(train) [176][380/1879] lr: 1.0000e-04 eta: 18:14:39 time: 0.4302 data_time: 0.0147 memory: 17087 grad_norm: 6.6326 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9443 loss: 0.9443 2022/08/05 01:39:04 - mmengine - INFO - Epoch(train) [176][400/1879] lr: 1.0000e-04 eta: 18:14:30 time: 0.4304 data_time: 0.0175 memory: 17087 grad_norm: 6.6957 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9968 loss: 0.9968 2022/08/05 01:39:13 - mmengine - INFO - Epoch(train) [176][420/1879] lr: 1.0000e-04 eta: 18:14:21 time: 0.4287 data_time: 0.0143 memory: 17087 grad_norm: 6.8802 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8764 loss: 0.8764 2022/08/05 01:39:22 - mmengine - INFO - Epoch(train) [176][440/1879] lr: 1.0000e-04 eta: 18:14:13 time: 0.4551 data_time: 0.0197 memory: 17087 grad_norm: 6.6205 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8351 loss: 0.8351 2022/08/05 01:39:31 - mmengine - INFO - Epoch(train) [176][460/1879] lr: 1.0000e-04 eta: 18:14:04 time: 0.4324 data_time: 0.0148 memory: 17087 grad_norm: 6.7374 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8936 loss: 0.8936 2022/08/05 01:39:39 - mmengine - INFO - Epoch(train) [176][480/1879] lr: 1.0000e-04 eta: 18:13:56 time: 0.4290 data_time: 0.0161 memory: 17087 grad_norm: 6.9337 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7571 loss: 0.7571 2022/08/05 01:39:48 - mmengine - INFO - Epoch(train) [176][500/1879] lr: 1.0000e-04 eta: 18:13:47 time: 0.4307 data_time: 0.0170 memory: 17087 grad_norm: 6.8252 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8964 loss: 0.8964 2022/08/05 01:39:57 - mmengine - INFO - Epoch(train) [176][520/1879] lr: 1.0000e-04 eta: 18:13:38 time: 0.4290 data_time: 0.0156 memory: 17087 grad_norm: 6.6491 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8242 loss: 0.8242 2022/08/05 01:40:06 - mmengine - INFO - Epoch(train) [176][540/1879] lr: 1.0000e-04 eta: 18:13:30 time: 0.4521 data_time: 0.0150 memory: 17087 grad_norm: 6.7262 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7710 loss: 0.7710 2022/08/05 01:40:14 - mmengine - INFO - Epoch(train) [176][560/1879] lr: 1.0000e-04 eta: 18:13:21 time: 0.4331 data_time: 0.0193 memory: 17087 grad_norm: 6.8506 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8288 loss: 0.8288 2022/08/05 01:40:23 - mmengine - INFO - Epoch(train) [176][580/1879] lr: 1.0000e-04 eta: 18:13:12 time: 0.4322 data_time: 0.0159 memory: 17087 grad_norm: 7.1413 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8857 loss: 0.8857 2022/08/05 01:40:32 - mmengine - INFO - Epoch(train) [176][600/1879] lr: 1.0000e-04 eta: 18:13:04 time: 0.4482 data_time: 0.0165 memory: 17087 grad_norm: 6.8545 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8287 loss: 0.8287 2022/08/05 01:40:41 - mmengine - INFO - Epoch(train) [176][620/1879] lr: 1.0000e-04 eta: 18:12:55 time: 0.4315 data_time: 0.0164 memory: 17087 grad_norm: 6.9098 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9987 loss: 0.9987 2022/08/05 01:40:50 - mmengine - INFO - Epoch(train) [176][640/1879] lr: 1.0000e-04 eta: 18:12:47 time: 0.4487 data_time: 0.0171 memory: 17087 grad_norm: 6.9095 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8089 loss: 0.8089 2022/08/05 01:40:58 - mmengine - INFO - Epoch(train) [176][660/1879] lr: 1.0000e-04 eta: 18:12:38 time: 0.4343 data_time: 0.0170 memory: 17087 grad_norm: 6.7098 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8543 loss: 0.8543 2022/08/05 01:41:07 - mmengine - INFO - Epoch(train) [176][680/1879] lr: 1.0000e-04 eta: 18:12:29 time: 0.4296 data_time: 0.0159 memory: 17087 grad_norm: 6.7019 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7638 loss: 0.7638 2022/08/05 01:41:16 - mmengine - INFO - Epoch(train) [176][700/1879] lr: 1.0000e-04 eta: 18:12:21 time: 0.4455 data_time: 0.0153 memory: 17087 grad_norm: 6.6501 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8828 loss: 0.8828 2022/08/05 01:41:25 - mmengine - INFO - Epoch(train) [176][720/1879] lr: 1.0000e-04 eta: 18:12:12 time: 0.4340 data_time: 0.0167 memory: 17087 grad_norm: 6.7441 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8571 loss: 0.8571 2022/08/05 01:41:34 - mmengine - INFO - Epoch(train) [176][740/1879] lr: 1.0000e-04 eta: 18:12:04 time: 0.4519 data_time: 0.0151 memory: 17087 grad_norm: 6.8952 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7844 loss: 0.7844 2022/08/05 01:41:42 - mmengine - INFO - Epoch(train) [176][760/1879] lr: 1.0000e-04 eta: 18:11:55 time: 0.4292 data_time: 0.0154 memory: 17087 grad_norm: 6.7533 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0226 loss: 1.0226 2022/08/05 01:41:51 - mmengine - INFO - Epoch(train) [176][780/1879] lr: 1.0000e-04 eta: 18:11:47 time: 0.4396 data_time: 0.0228 memory: 17087 grad_norm: 6.4753 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9234 loss: 0.9234 2022/08/05 01:42:00 - mmengine - INFO - Epoch(train) [176][800/1879] lr: 1.0000e-04 eta: 18:11:38 time: 0.4301 data_time: 0.0148 memory: 17087 grad_norm: 6.7312 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8687 loss: 0.8687 2022/08/05 01:42:09 - mmengine - INFO - Epoch(train) [176][820/1879] lr: 1.0000e-04 eta: 18:11:29 time: 0.4436 data_time: 0.0228 memory: 17087 grad_norm: 6.7878 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8173 loss: 0.8173 2022/08/05 01:42:17 - mmengine - INFO - Epoch(train) [176][840/1879] lr: 1.0000e-04 eta: 18:11:21 time: 0.4306 data_time: 0.0155 memory: 17087 grad_norm: 6.9104 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8698 loss: 0.8698 2022/08/05 01:42:26 - mmengine - INFO - Epoch(train) [176][860/1879] lr: 1.0000e-04 eta: 18:11:12 time: 0.4304 data_time: 0.0151 memory: 17087 grad_norm: 6.8543 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8893 loss: 0.8893 2022/08/05 01:42:34 - mmengine - INFO - Epoch(train) [176][880/1879] lr: 1.0000e-04 eta: 18:11:03 time: 0.4339 data_time: 0.0170 memory: 17087 grad_norm: 6.7153 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7169 loss: 0.7169 2022/08/05 01:42:43 - mmengine - INFO - Epoch(train) [176][900/1879] lr: 1.0000e-04 eta: 18:10:55 time: 0.4285 data_time: 0.0145 memory: 17087 grad_norm: 6.7763 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8936 loss: 0.8936 2022/08/05 01:42:52 - mmengine - INFO - Epoch(train) [176][920/1879] lr: 1.0000e-04 eta: 18:10:46 time: 0.4313 data_time: 0.0180 memory: 17087 grad_norm: 6.7932 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7842 loss: 0.7842 2022/08/05 01:43:00 - mmengine - INFO - Epoch(train) [176][940/1879] lr: 1.0000e-04 eta: 18:10:37 time: 0.4303 data_time: 0.0144 memory: 17087 grad_norm: 6.6836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8503 loss: 0.8503 2022/08/05 01:43:09 - mmengine - INFO - Epoch(train) [176][960/1879] lr: 1.0000e-04 eta: 18:10:29 time: 0.4461 data_time: 0.0164 memory: 17087 grad_norm: 6.9581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8991 loss: 0.8991 2022/08/05 01:43:18 - mmengine - INFO - Epoch(train) [176][980/1879] lr: 1.0000e-04 eta: 18:10:20 time: 0.4294 data_time: 0.0149 memory: 17087 grad_norm: 6.8511 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8656 loss: 0.8656 2022/08/05 01:43:27 - mmengine - INFO - Epoch(train) [176][1000/1879] lr: 1.0000e-04 eta: 18:10:11 time: 0.4306 data_time: 0.0166 memory: 17087 grad_norm: 6.7098 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9153 loss: 0.9153 2022/08/05 01:43:35 - mmengine - INFO - Epoch(train) [176][1020/1879] lr: 1.0000e-04 eta: 18:10:03 time: 0.4303 data_time: 0.0172 memory: 17087 grad_norm: 6.8513 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8441 loss: 0.8441 2022/08/05 01:43:44 - mmengine - INFO - Epoch(train) [176][1040/1879] lr: 1.0000e-04 eta: 18:09:54 time: 0.4487 data_time: 0.0180 memory: 17087 grad_norm: 6.9927 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9548 loss: 0.9548 2022/08/05 01:43:53 - mmengine - INFO - Epoch(train) [176][1060/1879] lr: 1.0000e-04 eta: 18:09:46 time: 0.4286 data_time: 0.0142 memory: 17087 grad_norm: 6.7401 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9004 loss: 0.9004 2022/08/05 01:44:01 - mmengine - INFO - Epoch(train) [176][1080/1879] lr: 1.0000e-04 eta: 18:09:37 time: 0.4308 data_time: 0.0172 memory: 17087 grad_norm: 6.6765 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9147 loss: 0.9147 2022/08/05 01:44:10 - mmengine - INFO - Epoch(train) [176][1100/1879] lr: 1.0000e-04 eta: 18:09:28 time: 0.4336 data_time: 0.0155 memory: 17087 grad_norm: 6.7677 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8729 loss: 0.8729 2022/08/05 01:44:19 - mmengine - INFO - Epoch(train) [176][1120/1879] lr: 1.0000e-04 eta: 18:09:20 time: 0.4692 data_time: 0.0191 memory: 17087 grad_norm: 6.6634 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8655 loss: 0.8655 2022/08/05 01:44:28 - mmengine - INFO - Epoch(train) [176][1140/1879] lr: 1.0000e-04 eta: 18:09:11 time: 0.4299 data_time: 0.0167 memory: 17087 grad_norm: 6.8797 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8858 loss: 0.8858 2022/08/05 01:44:37 - mmengine - INFO - Epoch(train) [176][1160/1879] lr: 1.0000e-04 eta: 18:09:03 time: 0.4297 data_time: 0.0156 memory: 17087 grad_norm: 6.7477 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9295 loss: 0.9295 2022/08/05 01:44:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 01:44:45 - mmengine - INFO - Epoch(train) [176][1180/1879] lr: 1.0000e-04 eta: 18:08:54 time: 0.4308 data_time: 0.0166 memory: 17087 grad_norm: 6.8583 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8688 loss: 0.8688 2022/08/05 01:44:54 - mmengine - INFO - Epoch(train) [176][1200/1879] lr: 1.0000e-04 eta: 18:08:45 time: 0.4327 data_time: 0.0186 memory: 17087 grad_norm: 6.7261 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7369 loss: 0.7369 2022/08/05 01:45:03 - mmengine - INFO - Epoch(train) [176][1220/1879] lr: 1.0000e-04 eta: 18:08:37 time: 0.4344 data_time: 0.0145 memory: 17087 grad_norm: 6.8619 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8142 loss: 0.8142 2022/08/05 01:45:11 - mmengine - INFO - Epoch(train) [176][1240/1879] lr: 1.0000e-04 eta: 18:08:28 time: 0.4323 data_time: 0.0176 memory: 17087 grad_norm: 6.7284 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9582 loss: 0.9582 2022/08/05 01:45:20 - mmengine - INFO - Epoch(train) [176][1260/1879] lr: 1.0000e-04 eta: 18:08:19 time: 0.4299 data_time: 0.0155 memory: 17087 grad_norm: 6.7783 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8986 loss: 0.8986 2022/08/05 01:45:29 - mmengine - INFO - Epoch(train) [176][1280/1879] lr: 1.0000e-04 eta: 18:08:11 time: 0.4377 data_time: 0.0171 memory: 17087 grad_norm: 6.7937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8672 loss: 0.8672 2022/08/05 01:45:37 - mmengine - INFO - Epoch(train) [176][1300/1879] lr: 1.0000e-04 eta: 18:08:02 time: 0.4290 data_time: 0.0147 memory: 17087 grad_norm: 6.8908 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8484 loss: 0.8484 2022/08/05 01:45:46 - mmengine - INFO - Epoch(train) [176][1320/1879] lr: 1.0000e-04 eta: 18:07:53 time: 0.4349 data_time: 0.0194 memory: 17087 grad_norm: 6.6557 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8542 loss: 0.8542 2022/08/05 01:45:55 - mmengine - INFO - Epoch(train) [176][1340/1879] lr: 1.0000e-04 eta: 18:07:45 time: 0.4486 data_time: 0.0146 memory: 17087 grad_norm: 6.6319 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6957 loss: 0.6957 2022/08/05 01:46:04 - mmengine - INFO - Epoch(train) [176][1360/1879] lr: 1.0000e-04 eta: 18:07:36 time: 0.4351 data_time: 0.0223 memory: 17087 grad_norm: 6.7014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8122 loss: 0.8122 2022/08/05 01:46:13 - mmengine - INFO - Epoch(train) [176][1380/1879] lr: 1.0000e-04 eta: 18:07:28 time: 0.4439 data_time: 0.0177 memory: 17087 grad_norm: 6.6658 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8773 loss: 0.8773 2022/08/05 01:46:21 - mmengine - INFO - Epoch(train) [176][1400/1879] lr: 1.0000e-04 eta: 18:07:19 time: 0.4350 data_time: 0.0176 memory: 17087 grad_norm: 7.0397 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9617 loss: 0.9617 2022/08/05 01:46:30 - mmengine - INFO - Epoch(train) [176][1420/1879] lr: 1.0000e-04 eta: 18:07:10 time: 0.4439 data_time: 0.0149 memory: 17087 grad_norm: 6.9192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8281 loss: 0.8281 2022/08/05 01:46:39 - mmengine - INFO - Epoch(train) [176][1440/1879] lr: 1.0000e-04 eta: 18:07:02 time: 0.4508 data_time: 0.0196 memory: 17087 grad_norm: 6.7995 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8636 loss: 0.8636 2022/08/05 01:46:48 - mmengine - INFO - Epoch(train) [176][1460/1879] lr: 1.0000e-04 eta: 18:06:53 time: 0.4310 data_time: 0.0152 memory: 17087 grad_norm: 6.6848 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7662 loss: 0.7662 2022/08/05 01:46:57 - mmengine - INFO - Epoch(train) [176][1480/1879] lr: 1.0000e-04 eta: 18:06:45 time: 0.4305 data_time: 0.0166 memory: 17087 grad_norm: 6.9087 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8788 loss: 0.8788 2022/08/05 01:47:05 - mmengine - INFO - Epoch(train) [176][1500/1879] lr: 1.0000e-04 eta: 18:06:36 time: 0.4331 data_time: 0.0143 memory: 17087 grad_norm: 6.8440 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9481 loss: 0.9481 2022/08/05 01:47:14 - mmengine - INFO - Epoch(train) [176][1520/1879] lr: 1.0000e-04 eta: 18:06:27 time: 0.4320 data_time: 0.0158 memory: 17087 grad_norm: 6.9311 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9507 loss: 0.9507 2022/08/05 01:47:23 - mmengine - INFO - Epoch(train) [176][1540/1879] lr: 1.0000e-04 eta: 18:06:19 time: 0.4427 data_time: 0.0207 memory: 17087 grad_norm: 6.8445 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8852 loss: 0.8852 2022/08/05 01:47:32 - mmengine - INFO - Epoch(train) [176][1560/1879] lr: 1.0000e-04 eta: 18:06:10 time: 0.4335 data_time: 0.0163 memory: 17087 grad_norm: 6.6168 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9477 loss: 0.9477 2022/08/05 01:47:41 - mmengine - INFO - Epoch(train) [176][1580/1879] lr: 1.0000e-04 eta: 18:06:02 time: 0.4510 data_time: 0.0163 memory: 17087 grad_norm: 6.8663 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8429 loss: 0.8429 2022/08/05 01:47:49 - mmengine - INFO - Epoch(train) [176][1600/1879] lr: 1.0000e-04 eta: 18:05:53 time: 0.4328 data_time: 0.0169 memory: 17087 grad_norm: 6.8046 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7284 loss: 0.7284 2022/08/05 01:47:58 - mmengine - INFO - Epoch(train) [176][1620/1879] lr: 1.0000e-04 eta: 18:05:44 time: 0.4305 data_time: 0.0155 memory: 17087 grad_norm: 6.3955 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8044 loss: 0.8044 2022/08/05 01:48:07 - mmengine - INFO - Epoch(train) [176][1640/1879] lr: 1.0000e-04 eta: 18:05:36 time: 0.4423 data_time: 0.0151 memory: 17087 grad_norm: 7.0415 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8488 loss: 0.8488 2022/08/05 01:48:15 - mmengine - INFO - Epoch(train) [176][1660/1879] lr: 1.0000e-04 eta: 18:05:27 time: 0.4385 data_time: 0.0203 memory: 17087 grad_norm: 6.7638 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8946 loss: 0.8946 2022/08/05 01:48:24 - mmengine - INFO - Epoch(train) [176][1680/1879] lr: 1.0000e-04 eta: 18:05:18 time: 0.4313 data_time: 0.0163 memory: 17087 grad_norm: 6.5729 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7842 loss: 0.7842 2022/08/05 01:48:33 - mmengine - INFO - Epoch(train) [176][1700/1879] lr: 1.0000e-04 eta: 18:05:10 time: 0.4610 data_time: 0.0150 memory: 17087 grad_norm: 6.7816 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8632 loss: 0.8632 2022/08/05 01:48:42 - mmengine - INFO - Epoch(train) [176][1720/1879] lr: 1.0000e-04 eta: 18:05:01 time: 0.4302 data_time: 0.0162 memory: 17087 grad_norm: 6.7809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8964 loss: 0.8964 2022/08/05 01:48:51 - mmengine - INFO - Epoch(train) [176][1740/1879] lr: 1.0000e-04 eta: 18:04:53 time: 0.4355 data_time: 0.0154 memory: 17087 grad_norm: 6.6395 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8656 loss: 0.8656 2022/08/05 01:48:59 - mmengine - INFO - Epoch(train) [176][1760/1879] lr: 1.0000e-04 eta: 18:04:44 time: 0.4299 data_time: 0.0160 memory: 17087 grad_norm: 7.0062 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8489 loss: 0.8489 2022/08/05 01:49:08 - mmengine - INFO - Epoch(train) [176][1780/1879] lr: 1.0000e-04 eta: 18:04:35 time: 0.4298 data_time: 0.0152 memory: 17087 grad_norm: 6.6155 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7629 loss: 0.7629 2022/08/05 01:49:17 - mmengine - INFO - Epoch(train) [176][1800/1879] lr: 1.0000e-04 eta: 18:04:27 time: 0.4338 data_time: 0.0174 memory: 17087 grad_norm: 6.8465 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0543 loss: 1.0543 2022/08/05 01:49:25 - mmengine - INFO - Epoch(train) [176][1820/1879] lr: 1.0000e-04 eta: 18:04:18 time: 0.4300 data_time: 0.0164 memory: 17087 grad_norm: 6.7660 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8800 loss: 0.8800 2022/08/05 01:49:35 - mmengine - INFO - Epoch(train) [176][1840/1879] lr: 1.0000e-04 eta: 18:04:10 time: 0.4678 data_time: 0.0182 memory: 17087 grad_norm: 6.7686 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7930 loss: 0.7930 2022/08/05 01:49:43 - mmengine - INFO - Epoch(train) [176][1860/1879] lr: 1.0000e-04 eta: 18:04:01 time: 0.4293 data_time: 0.0153 memory: 17087 grad_norm: 7.0552 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8189 loss: 0.8189 2022/08/05 01:49:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 01:49:52 - mmengine - INFO - Epoch(train) [176][1879/1879] lr: 1.0000e-04 eta: 18:04:01 time: 0.4354 data_time: 0.0178 memory: 17087 grad_norm: 6.7389 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8201 loss: 0.8201 2022/08/05 01:49:52 - mmengine - INFO - Saving checkpoint at 176 epochs 2022/08/05 01:50:05 - mmengine - INFO - Epoch(train) [177][20/1879] lr: 1.0000e-04 eta: 18:03:41 time: 0.5059 data_time: 0.0901 memory: 17087 grad_norm: 6.7964 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9108 loss: 0.9108 2022/08/05 01:50:14 - mmengine - INFO - Epoch(train) [177][40/1879] lr: 1.0000e-04 eta: 18:03:33 time: 0.4429 data_time: 0.0172 memory: 17087 grad_norm: 6.7342 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9125 loss: 0.9125 2022/08/05 01:50:23 - mmengine - INFO - Epoch(train) [177][60/1879] lr: 1.0000e-04 eta: 18:03:24 time: 0.4384 data_time: 0.0152 memory: 17087 grad_norm: 6.5771 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8200 loss: 0.8200 2022/08/05 01:50:32 - mmengine - INFO - Epoch(train) [177][80/1879] lr: 1.0000e-04 eta: 18:03:15 time: 0.4359 data_time: 0.0173 memory: 17087 grad_norm: 6.8219 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7180 loss: 0.7180 2022/08/05 01:50:40 - mmengine - INFO - Epoch(train) [177][100/1879] lr: 1.0000e-04 eta: 18:03:07 time: 0.4313 data_time: 0.0171 memory: 17087 grad_norm: 6.9604 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8362 loss: 0.8362 2022/08/05 01:50:49 - mmengine - INFO - Epoch(train) [177][120/1879] lr: 1.0000e-04 eta: 18:02:58 time: 0.4475 data_time: 0.0178 memory: 17087 grad_norm: 6.6291 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7727 loss: 0.7727 2022/08/05 01:50:58 - mmengine - INFO - Epoch(train) [177][140/1879] lr: 1.0000e-04 eta: 18:02:50 time: 0.4284 data_time: 0.0154 memory: 17087 grad_norm: 6.7825 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9331 loss: 0.9331 2022/08/05 01:51:07 - mmengine - INFO - Epoch(train) [177][160/1879] lr: 1.0000e-04 eta: 18:02:41 time: 0.4292 data_time: 0.0159 memory: 17087 grad_norm: 6.5547 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7255 loss: 0.7255 2022/08/05 01:51:15 - mmengine - INFO - Epoch(train) [177][180/1879] lr: 1.0000e-04 eta: 18:02:32 time: 0.4371 data_time: 0.0160 memory: 17087 grad_norm: 6.7839 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8085 loss: 0.8085 2022/08/05 01:51:24 - mmengine - INFO - Epoch(train) [177][200/1879] lr: 1.0000e-04 eta: 18:02:24 time: 0.4293 data_time: 0.0161 memory: 17087 grad_norm: 6.9617 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8044 loss: 0.8044 2022/08/05 01:51:33 - mmengine - INFO - Epoch(train) [177][220/1879] lr: 1.0000e-04 eta: 18:02:15 time: 0.4375 data_time: 0.0166 memory: 17087 grad_norm: 6.8612 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8460 loss: 0.8460 2022/08/05 01:51:41 - mmengine - INFO - Epoch(train) [177][240/1879] lr: 1.0000e-04 eta: 18:02:06 time: 0.4314 data_time: 0.0170 memory: 17087 grad_norm: 6.8615 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9210 loss: 0.9210 2022/08/05 01:51:50 - mmengine - INFO - Epoch(train) [177][260/1879] lr: 1.0000e-04 eta: 18:01:58 time: 0.4340 data_time: 0.0164 memory: 17087 grad_norm: 6.4841 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8260 loss: 0.8260 2022/08/05 01:51:59 - mmengine - INFO - Epoch(train) [177][280/1879] lr: 1.0000e-04 eta: 18:01:49 time: 0.4297 data_time: 0.0163 memory: 17087 grad_norm: 6.6231 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8201 loss: 0.8201 2022/08/05 01:52:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 01:52:07 - mmengine - INFO - Epoch(train) [177][300/1879] lr: 1.0000e-04 eta: 18:01:40 time: 0.4300 data_time: 0.0144 memory: 17087 grad_norm: 6.6643 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8532 loss: 0.8532 2022/08/05 01:52:16 - mmengine - INFO - Epoch(train) [177][320/1879] lr: 1.0000e-04 eta: 18:01:32 time: 0.4348 data_time: 0.0174 memory: 17087 grad_norm: 6.5925 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8681 loss: 0.8681 2022/08/05 01:52:25 - mmengine - INFO - Epoch(train) [177][340/1879] lr: 1.0000e-04 eta: 18:01:23 time: 0.4288 data_time: 0.0150 memory: 17087 grad_norm: 6.5495 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7935 loss: 0.7935 2022/08/05 01:52:33 - mmengine - INFO - Epoch(train) [177][360/1879] lr: 1.0000e-04 eta: 18:01:14 time: 0.4365 data_time: 0.0173 memory: 17087 grad_norm: 6.8603 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7984 loss: 0.7984 2022/08/05 01:52:42 - mmengine - INFO - Epoch(train) [177][380/1879] lr: 1.0000e-04 eta: 18:01:06 time: 0.4307 data_time: 0.0146 memory: 17087 grad_norm: 6.7897 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8589 loss: 0.8589 2022/08/05 01:52:51 - mmengine - INFO - Epoch(train) [177][400/1879] lr: 1.0000e-04 eta: 18:00:57 time: 0.4376 data_time: 0.0186 memory: 17087 grad_norm: 6.8373 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8801 loss: 0.8801 2022/08/05 01:53:00 - mmengine - INFO - Epoch(train) [177][420/1879] lr: 1.0000e-04 eta: 18:00:48 time: 0.4337 data_time: 0.0141 memory: 17087 grad_norm: 6.7944 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7889 loss: 0.7889 2022/08/05 01:53:08 - mmengine - INFO - Epoch(train) [177][440/1879] lr: 1.0000e-04 eta: 18:00:40 time: 0.4301 data_time: 0.0163 memory: 17087 grad_norm: 7.0138 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7933 loss: 0.7933 2022/08/05 01:53:17 - mmengine - INFO - Epoch(train) [177][460/1879] lr: 1.0000e-04 eta: 18:00:31 time: 0.4318 data_time: 0.0143 memory: 17087 grad_norm: 6.6663 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0290 loss: 1.0290 2022/08/05 01:53:25 - mmengine - INFO - Epoch(train) [177][480/1879] lr: 1.0000e-04 eta: 18:00:22 time: 0.4320 data_time: 0.0168 memory: 17087 grad_norm: 7.0670 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9245 loss: 0.9245 2022/08/05 01:53:34 - mmengine - INFO - Epoch(train) [177][500/1879] lr: 1.0000e-04 eta: 18:00:14 time: 0.4317 data_time: 0.0143 memory: 17087 grad_norm: 7.0430 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8418 loss: 0.8418 2022/08/05 01:53:43 - mmengine - INFO - Epoch(train) [177][520/1879] lr: 1.0000e-04 eta: 18:00:05 time: 0.4302 data_time: 0.0171 memory: 17087 grad_norm: 6.9879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9570 loss: 0.9570 2022/08/05 01:53:52 - mmengine - INFO - Epoch(train) [177][540/1879] lr: 1.0000e-04 eta: 17:59:57 time: 0.4472 data_time: 0.0167 memory: 17087 grad_norm: 6.5468 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8147 loss: 0.8147 2022/08/05 01:54:00 - mmengine - INFO - Epoch(train) [177][560/1879] lr: 1.0000e-04 eta: 17:59:48 time: 0.4296 data_time: 0.0167 memory: 17087 grad_norm: 7.0056 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8508 loss: 0.8508 2022/08/05 01:54:09 - mmengine - INFO - Epoch(train) [177][580/1879] lr: 1.0000e-04 eta: 17:59:39 time: 0.4321 data_time: 0.0176 memory: 17087 grad_norm: 7.1758 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9329 loss: 0.9329 2022/08/05 01:54:18 - mmengine - INFO - Epoch(train) [177][600/1879] lr: 1.0000e-04 eta: 17:59:31 time: 0.4307 data_time: 0.0173 memory: 17087 grad_norm: 6.7859 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8482 loss: 0.8482 2022/08/05 01:54:26 - mmengine - INFO - Epoch(train) [177][620/1879] lr: 1.0000e-04 eta: 17:59:22 time: 0.4331 data_time: 0.0138 memory: 17087 grad_norm: 6.4586 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7973 loss: 0.7973 2022/08/05 01:54:35 - mmengine - INFO - Epoch(train) [177][640/1879] lr: 1.0000e-04 eta: 17:59:13 time: 0.4313 data_time: 0.0172 memory: 17087 grad_norm: 6.9212 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9929 loss: 0.9929 2022/08/05 01:54:44 - mmengine - INFO - Epoch(train) [177][660/1879] lr: 1.0000e-04 eta: 17:59:05 time: 0.4317 data_time: 0.0135 memory: 17087 grad_norm: 6.6578 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7350 loss: 0.7350 2022/08/05 01:54:52 - mmengine - INFO - Epoch(train) [177][680/1879] lr: 1.0000e-04 eta: 17:58:56 time: 0.4298 data_time: 0.0157 memory: 17087 grad_norm: 6.7084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8250 loss: 0.8250 2022/08/05 01:55:01 - mmengine - INFO - Epoch(train) [177][700/1879] lr: 1.0000e-04 eta: 17:58:47 time: 0.4373 data_time: 0.0157 memory: 17087 grad_norm: 6.6682 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7801 loss: 0.7801 2022/08/05 01:55:10 - mmengine - INFO - Epoch(train) [177][720/1879] lr: 1.0000e-04 eta: 17:58:39 time: 0.4307 data_time: 0.0155 memory: 17087 grad_norm: 6.9269 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7983 loss: 0.7983 2022/08/05 01:55:18 - mmengine - INFO - Epoch(train) [177][740/1879] lr: 1.0000e-04 eta: 17:58:30 time: 0.4282 data_time: 0.0136 memory: 17087 grad_norm: 6.8773 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0357 loss: 1.0357 2022/08/05 01:55:27 - mmengine - INFO - Epoch(train) [177][760/1879] lr: 1.0000e-04 eta: 17:58:21 time: 0.4346 data_time: 0.0163 memory: 17087 grad_norm: 6.8122 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8392 loss: 0.8392 2022/08/05 01:55:35 - mmengine - INFO - Epoch(train) [177][780/1879] lr: 1.0000e-04 eta: 17:58:13 time: 0.4284 data_time: 0.0154 memory: 17087 grad_norm: 6.7056 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7948 loss: 0.7948 2022/08/05 01:55:44 - mmengine - INFO - Epoch(train) [177][800/1879] lr: 1.0000e-04 eta: 17:58:04 time: 0.4476 data_time: 0.0164 memory: 17087 grad_norm: 6.8691 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8445 loss: 0.8445 2022/08/05 01:55:53 - mmengine - INFO - Epoch(train) [177][820/1879] lr: 1.0000e-04 eta: 17:57:56 time: 0.4406 data_time: 0.0148 memory: 17087 grad_norm: 6.9114 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8151 loss: 0.8151 2022/08/05 01:56:02 - mmengine - INFO - Epoch(train) [177][840/1879] lr: 1.0000e-04 eta: 17:57:47 time: 0.4328 data_time: 0.0167 memory: 17087 grad_norm: 6.6316 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9008 loss: 0.9008 2022/08/05 01:56:11 - mmengine - INFO - Epoch(train) [177][860/1879] lr: 1.0000e-04 eta: 17:57:38 time: 0.4355 data_time: 0.0212 memory: 17087 grad_norm: 6.6801 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8335 loss: 0.8335 2022/08/05 01:56:19 - mmengine - INFO - Epoch(train) [177][880/1879] lr: 1.0000e-04 eta: 17:57:30 time: 0.4326 data_time: 0.0162 memory: 17087 grad_norm: 6.7922 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8203 loss: 0.8203 2022/08/05 01:56:28 - mmengine - INFO - Epoch(train) [177][900/1879] lr: 1.0000e-04 eta: 17:57:21 time: 0.4285 data_time: 0.0140 memory: 17087 grad_norm: 6.9842 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9564 loss: 0.9564 2022/08/05 01:56:37 - mmengine - INFO - Epoch(train) [177][920/1879] lr: 1.0000e-04 eta: 17:57:12 time: 0.4399 data_time: 0.0181 memory: 17087 grad_norm: 6.7511 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9002 loss: 0.9002 2022/08/05 01:56:45 - mmengine - INFO - Epoch(train) [177][940/1879] lr: 1.0000e-04 eta: 17:57:04 time: 0.4312 data_time: 0.0141 memory: 17087 grad_norm: 6.5251 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9194 loss: 0.9194 2022/08/05 01:56:54 - mmengine - INFO - Epoch(train) [177][960/1879] lr: 1.0000e-04 eta: 17:56:55 time: 0.4315 data_time: 0.0165 memory: 17087 grad_norm: 6.6120 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7813 loss: 0.7813 2022/08/05 01:57:03 - mmengine - INFO - Epoch(train) [177][980/1879] lr: 1.0000e-04 eta: 17:56:46 time: 0.4303 data_time: 0.0160 memory: 17087 grad_norm: 6.8604 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9489 loss: 0.9489 2022/08/05 01:57:11 - mmengine - INFO - Epoch(train) [177][1000/1879] lr: 1.0000e-04 eta: 17:56:38 time: 0.4333 data_time: 0.0160 memory: 17087 grad_norm: 6.9237 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9984 loss: 0.9984 2022/08/05 01:57:20 - mmengine - INFO - Epoch(train) [177][1020/1879] lr: 1.0000e-04 eta: 17:56:29 time: 0.4510 data_time: 0.0154 memory: 17087 grad_norm: 6.7938 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8182 loss: 0.8182 2022/08/05 01:57:29 - mmengine - INFO - Epoch(train) [177][1040/1879] lr: 1.0000e-04 eta: 17:56:21 time: 0.4353 data_time: 0.0179 memory: 17087 grad_norm: 6.8126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9776 loss: 0.9776 2022/08/05 01:57:38 - mmengine - INFO - Epoch(train) [177][1060/1879] lr: 1.0000e-04 eta: 17:56:12 time: 0.4330 data_time: 0.0173 memory: 17087 grad_norm: 7.0723 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7593 loss: 0.7593 2022/08/05 01:57:47 - mmengine - INFO - Epoch(train) [177][1080/1879] lr: 1.0000e-04 eta: 17:56:03 time: 0.4567 data_time: 0.0184 memory: 17087 grad_norm: 6.7934 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7807 loss: 0.7807 2022/08/05 01:57:56 - mmengine - INFO - Epoch(train) [177][1100/1879] lr: 1.0000e-04 eta: 17:55:55 time: 0.4341 data_time: 0.0137 memory: 17087 grad_norm: 6.9267 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8146 loss: 0.8146 2022/08/05 01:58:05 - mmengine - INFO - Epoch(train) [177][1120/1879] lr: 1.0000e-04 eta: 17:55:46 time: 0.4615 data_time: 0.0178 memory: 17087 grad_norm: 6.9312 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6959 loss: 0.6959 2022/08/05 01:58:14 - mmengine - INFO - Epoch(train) [177][1140/1879] lr: 1.0000e-04 eta: 17:55:38 time: 0.4393 data_time: 0.0148 memory: 17087 grad_norm: 6.8609 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8599 loss: 0.8599 2022/08/05 01:58:22 - mmengine - INFO - Epoch(train) [177][1160/1879] lr: 1.0000e-04 eta: 17:55:29 time: 0.4350 data_time: 0.0181 memory: 17087 grad_norm: 6.7824 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7013 loss: 0.7013 2022/08/05 01:58:31 - mmengine - INFO - Epoch(train) [177][1180/1879] lr: 1.0000e-04 eta: 17:55:21 time: 0.4281 data_time: 0.0140 memory: 17087 grad_norm: 6.9004 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8385 loss: 0.8385 2022/08/05 01:58:40 - mmengine - INFO - Epoch(train) [177][1200/1879] lr: 1.0000e-04 eta: 17:55:12 time: 0.4515 data_time: 0.0174 memory: 17087 grad_norm: 6.7016 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9587 loss: 0.9587 2022/08/05 01:58:49 - mmengine - INFO - Epoch(train) [177][1220/1879] lr: 1.0000e-04 eta: 17:55:03 time: 0.4280 data_time: 0.0143 memory: 17087 grad_norm: 6.9235 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8964 loss: 0.8964 2022/08/05 01:58:57 - mmengine - INFO - Epoch(train) [177][1240/1879] lr: 1.0000e-04 eta: 17:54:55 time: 0.4370 data_time: 0.0207 memory: 17087 grad_norm: 6.6713 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9157 loss: 0.9157 2022/08/05 01:59:06 - mmengine - INFO - Epoch(train) [177][1260/1879] lr: 1.0000e-04 eta: 17:54:46 time: 0.4309 data_time: 0.0148 memory: 17087 grad_norm: 6.9944 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8928 loss: 0.8928 2022/08/05 01:59:15 - mmengine - INFO - Epoch(train) [177][1280/1879] lr: 1.0000e-04 eta: 17:54:37 time: 0.4336 data_time: 0.0160 memory: 17087 grad_norm: 7.0617 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9848 loss: 0.9848 2022/08/05 01:59:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 01:59:23 - mmengine - INFO - Epoch(train) [177][1300/1879] lr: 1.0000e-04 eta: 17:54:29 time: 0.4367 data_time: 0.0153 memory: 17087 grad_norm: 6.6483 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9294 loss: 0.9294 2022/08/05 01:59:32 - mmengine - INFO - Epoch(train) [177][1320/1879] lr: 1.0000e-04 eta: 17:54:20 time: 0.4285 data_time: 0.0160 memory: 17087 grad_norm: 7.0376 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8298 loss: 0.8298 2022/08/05 01:59:41 - mmengine - INFO - Epoch(train) [177][1340/1879] lr: 1.0000e-04 eta: 17:54:11 time: 0.4322 data_time: 0.0155 memory: 17087 grad_norm: 6.8960 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9624 loss: 0.9624 2022/08/05 01:59:49 - mmengine - INFO - Epoch(train) [177][1360/1879] lr: 1.0000e-04 eta: 17:54:03 time: 0.4358 data_time: 0.0168 memory: 17087 grad_norm: 7.0291 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6926 loss: 0.6926 2022/08/05 01:59:58 - mmengine - INFO - Epoch(train) [177][1380/1879] lr: 1.0000e-04 eta: 17:53:54 time: 0.4298 data_time: 0.0142 memory: 17087 grad_norm: 6.8599 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8486 loss: 0.8486 2022/08/05 02:00:08 - mmengine - INFO - Epoch(train) [177][1400/1879] lr: 1.0000e-04 eta: 17:53:46 time: 0.5184 data_time: 0.0182 memory: 17087 grad_norm: 6.9258 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7753 loss: 0.7753 2022/08/05 02:00:17 - mmengine - INFO - Epoch(train) [177][1420/1879] lr: 1.0000e-04 eta: 17:53:38 time: 0.4313 data_time: 0.0177 memory: 17087 grad_norm: 6.6222 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9442 loss: 0.9442 2022/08/05 02:00:26 - mmengine - INFO - Epoch(train) [177][1440/1879] lr: 1.0000e-04 eta: 17:53:29 time: 0.4443 data_time: 0.0191 memory: 17087 grad_norm: 6.9923 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9602 loss: 0.9602 2022/08/05 02:00:35 - mmengine - INFO - Epoch(train) [177][1460/1879] lr: 1.0000e-04 eta: 17:53:20 time: 0.4313 data_time: 0.0165 memory: 17087 grad_norm: 6.7797 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8776 loss: 0.8776 2022/08/05 02:00:44 - mmengine - INFO - Epoch(train) [177][1480/1879] lr: 1.0000e-04 eta: 17:53:12 time: 0.4566 data_time: 0.0158 memory: 17087 grad_norm: 7.0036 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8178 loss: 0.8178 2022/08/05 02:00:53 - mmengine - INFO - Epoch(train) [177][1500/1879] lr: 1.0000e-04 eta: 17:53:03 time: 0.4339 data_time: 0.0211 memory: 17087 grad_norm: 6.5647 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7949 loss: 0.7949 2022/08/05 02:01:01 - mmengine - INFO - Epoch(train) [177][1520/1879] lr: 1.0000e-04 eta: 17:52:55 time: 0.4436 data_time: 0.0160 memory: 17087 grad_norm: 6.7409 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9213 loss: 0.9213 2022/08/05 02:01:10 - mmengine - INFO - Epoch(train) [177][1540/1879] lr: 1.0000e-04 eta: 17:52:46 time: 0.4319 data_time: 0.0183 memory: 17087 grad_norm: 6.6556 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8910 loss: 0.8910 2022/08/05 02:01:19 - mmengine - INFO - Epoch(train) [177][1560/1879] lr: 1.0000e-04 eta: 17:52:37 time: 0.4273 data_time: 0.0137 memory: 17087 grad_norm: 6.8103 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8793 loss: 0.8793 2022/08/05 02:01:28 - mmengine - INFO - Epoch(train) [177][1580/1879] lr: 1.0000e-04 eta: 17:52:29 time: 0.4615 data_time: 0.0180 memory: 17087 grad_norm: 6.7451 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9736 loss: 0.9736 2022/08/05 02:01:36 - mmengine - INFO - Epoch(train) [177][1600/1879] lr: 1.0000e-04 eta: 17:52:20 time: 0.4292 data_time: 0.0157 memory: 17087 grad_norm: 6.9685 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9162 loss: 0.9162 2022/08/05 02:01:46 - mmengine - INFO - Epoch(train) [177][1620/1879] lr: 1.0000e-04 eta: 17:52:12 time: 0.4678 data_time: 0.0176 memory: 17087 grad_norm: 6.8064 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8211 loss: 0.8211 2022/08/05 02:01:54 - mmengine - INFO - Epoch(train) [177][1640/1879] lr: 1.0000e-04 eta: 17:52:03 time: 0.4298 data_time: 0.0166 memory: 17087 grad_norm: 6.6987 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7956 loss: 0.7956 2022/08/05 02:02:04 - mmengine - INFO - Epoch(train) [177][1660/1879] lr: 1.0000e-04 eta: 17:51:55 time: 0.4611 data_time: 0.0172 memory: 17087 grad_norm: 6.8588 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9084 loss: 0.9084 2022/08/05 02:02:12 - mmengine - INFO - Epoch(train) [177][1680/1879] lr: 1.0000e-04 eta: 17:51:46 time: 0.4304 data_time: 0.0154 memory: 17087 grad_norm: 7.0537 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8627 loss: 0.8627 2022/08/05 02:02:22 - mmengine - INFO - Epoch(train) [177][1700/1879] lr: 1.0000e-04 eta: 17:51:38 time: 0.4642 data_time: 0.0177 memory: 17087 grad_norm: 6.6487 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9613 loss: 0.9613 2022/08/05 02:02:30 - mmengine - INFO - Epoch(train) [177][1720/1879] lr: 1.0000e-04 eta: 17:51:29 time: 0.4297 data_time: 0.0147 memory: 17087 grad_norm: 6.9647 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7850 loss: 0.7850 2022/08/05 02:02:39 - mmengine - INFO - Epoch(train) [177][1740/1879] lr: 1.0000e-04 eta: 17:51:20 time: 0.4294 data_time: 0.0155 memory: 17087 grad_norm: 6.8504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7345 loss: 0.7345 2022/08/05 02:02:48 - mmengine - INFO - Epoch(train) [177][1760/1879] lr: 1.0000e-04 eta: 17:51:12 time: 0.4398 data_time: 0.0191 memory: 17087 grad_norm: 6.8503 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7599 loss: 0.7599 2022/08/05 02:02:56 - mmengine - INFO - Epoch(train) [177][1780/1879] lr: 1.0000e-04 eta: 17:51:03 time: 0.4305 data_time: 0.0177 memory: 17087 grad_norm: 6.6057 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9461 loss: 0.9461 2022/08/05 02:03:05 - mmengine - INFO - Epoch(train) [177][1800/1879] lr: 1.0000e-04 eta: 17:50:55 time: 0.4361 data_time: 0.0161 memory: 17087 grad_norm: 6.7979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8872 loss: 0.8872 2022/08/05 02:03:14 - mmengine - INFO - Epoch(train) [177][1820/1879] lr: 1.0000e-04 eta: 17:50:46 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 6.8451 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7630 loss: 0.7630 2022/08/05 02:03:23 - mmengine - INFO - Epoch(train) [177][1840/1879] lr: 1.0000e-04 eta: 17:50:37 time: 0.4455 data_time: 0.0163 memory: 17087 grad_norm: 6.6320 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 1.0701 loss: 1.0701 2022/08/05 02:03:31 - mmengine - INFO - Epoch(train) [177][1860/1879] lr: 1.0000e-04 eta: 17:50:29 time: 0.4302 data_time: 0.0176 memory: 17087 grad_norm: 6.6048 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7814 loss: 0.7814 2022/08/05 02:03:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 02:03:39 - mmengine - INFO - Epoch(train) [177][1879/1879] lr: 1.0000e-04 eta: 17:50:29 time: 0.4098 data_time: 0.0138 memory: 17087 grad_norm: 6.8777 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7333 loss: 0.7333 2022/08/05 02:03:51 - mmengine - INFO - Epoch(train) [178][20/1879] lr: 1.0000e-04 eta: 17:50:10 time: 0.5818 data_time: 0.1172 memory: 17087 grad_norm: 6.7889 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9987 loss: 0.9987 2022/08/05 02:03:59 - mmengine - INFO - Epoch(train) [178][40/1879] lr: 1.0000e-04 eta: 17:50:01 time: 0.4315 data_time: 0.0170 memory: 17087 grad_norm: 6.9113 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8106 loss: 0.8106 2022/08/05 02:04:08 - mmengine - INFO - Epoch(train) [178][60/1879] lr: 1.0000e-04 eta: 17:49:52 time: 0.4293 data_time: 0.0127 memory: 17087 grad_norm: 7.0542 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0723 loss: 1.0723 2022/08/05 02:04:17 - mmengine - INFO - Epoch(train) [178][80/1879] lr: 1.0000e-04 eta: 17:49:44 time: 0.4336 data_time: 0.0202 memory: 17087 grad_norm: 6.6864 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7863 loss: 0.7863 2022/08/05 02:04:26 - mmengine - INFO - Epoch(train) [178][100/1879] lr: 1.0000e-04 eta: 17:49:35 time: 0.4400 data_time: 0.0146 memory: 17087 grad_norm: 6.8495 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8442 loss: 0.8442 2022/08/05 02:04:34 - mmengine - INFO - Epoch(train) [178][120/1879] lr: 1.0000e-04 eta: 17:49:26 time: 0.4329 data_time: 0.0175 memory: 17087 grad_norm: 6.8979 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9352 loss: 0.9352 2022/08/05 02:04:44 - mmengine - INFO - Epoch(train) [178][140/1879] lr: 1.0000e-04 eta: 17:49:18 time: 0.4653 data_time: 0.0161 memory: 17087 grad_norm: 6.8598 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8491 loss: 0.8491 2022/08/05 02:04:52 - mmengine - INFO - Epoch(train) [178][160/1879] lr: 1.0000e-04 eta: 17:49:09 time: 0.4281 data_time: 0.0146 memory: 17087 grad_norm: 6.7976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7962 loss: 0.7962 2022/08/05 02:05:01 - mmengine - INFO - Epoch(train) [178][180/1879] lr: 1.0000e-04 eta: 17:49:01 time: 0.4367 data_time: 0.0217 memory: 17087 grad_norm: 6.8556 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8864 loss: 0.8864 2022/08/05 02:05:10 - mmengine - INFO - Epoch(train) [178][200/1879] lr: 1.0000e-04 eta: 17:48:52 time: 0.4307 data_time: 0.0159 memory: 17087 grad_norm: 6.8401 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9763 loss: 0.9763 2022/08/05 02:05:18 - mmengine - INFO - Epoch(train) [178][220/1879] lr: 1.0000e-04 eta: 17:48:43 time: 0.4316 data_time: 0.0173 memory: 17087 grad_norm: 6.6114 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8065 loss: 0.8065 2022/08/05 02:05:27 - mmengine - INFO - Epoch(train) [178][240/1879] lr: 1.0000e-04 eta: 17:48:35 time: 0.4618 data_time: 0.0164 memory: 17087 grad_norm: 6.8119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9505 loss: 0.9505 2022/08/05 02:05:36 - mmengine - INFO - Epoch(train) [178][260/1879] lr: 1.0000e-04 eta: 17:48:26 time: 0.4332 data_time: 0.0199 memory: 17087 grad_norm: 6.7851 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7816 loss: 0.7816 2022/08/05 02:05:45 - mmengine - INFO - Epoch(train) [178][280/1879] lr: 1.0000e-04 eta: 17:48:18 time: 0.4433 data_time: 0.0177 memory: 17087 grad_norm: 6.8298 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7599 loss: 0.7599 2022/08/05 02:05:54 - mmengine - INFO - Epoch(train) [178][300/1879] lr: 1.0000e-04 eta: 17:48:09 time: 0.4304 data_time: 0.0147 memory: 17087 grad_norm: 6.8084 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8150 loss: 0.8150 2022/08/05 02:06:03 - mmengine - INFO - Epoch(train) [178][320/1879] lr: 1.0000e-04 eta: 17:48:01 time: 0.4630 data_time: 0.0186 memory: 17087 grad_norm: 7.0245 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8130 loss: 0.8130 2022/08/05 02:06:12 - mmengine - INFO - Epoch(train) [178][340/1879] lr: 1.0000e-04 eta: 17:47:52 time: 0.4302 data_time: 0.0164 memory: 17087 grad_norm: 6.9485 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7617 loss: 0.7617 2022/08/05 02:06:20 - mmengine - INFO - Epoch(train) [178][360/1879] lr: 1.0000e-04 eta: 17:47:43 time: 0.4319 data_time: 0.0184 memory: 17087 grad_norm: 6.6611 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7680 loss: 0.7680 2022/08/05 02:06:29 - mmengine - INFO - Epoch(train) [178][380/1879] lr: 1.0000e-04 eta: 17:47:35 time: 0.4281 data_time: 0.0128 memory: 17087 grad_norm: 6.8059 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8245 loss: 0.8245 2022/08/05 02:06:37 - mmengine - INFO - Epoch(train) [178][400/1879] lr: 1.0000e-04 eta: 17:47:26 time: 0.4303 data_time: 0.0163 memory: 17087 grad_norm: 6.6172 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9659 loss: 0.9659 2022/08/05 02:06:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 02:06:46 - mmengine - INFO - Epoch(train) [178][420/1879] lr: 1.0000e-04 eta: 17:47:17 time: 0.4438 data_time: 0.0157 memory: 17087 grad_norm: 6.9945 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8314 loss: 0.8314 2022/08/05 02:06:55 - mmengine - INFO - Epoch(train) [178][440/1879] lr: 1.0000e-04 eta: 17:47:09 time: 0.4342 data_time: 0.0201 memory: 17087 grad_norm: 6.5710 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8701 loss: 0.8701 2022/08/05 02:07:04 - mmengine - INFO - Epoch(train) [178][460/1879] lr: 1.0000e-04 eta: 17:47:00 time: 0.4587 data_time: 0.0144 memory: 17087 grad_norm: 6.7998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7863 loss: 0.7863 2022/08/05 02:07:13 - mmengine - INFO - Epoch(train) [178][480/1879] lr: 1.0000e-04 eta: 17:46:52 time: 0.4338 data_time: 0.0198 memory: 17087 grad_norm: 6.8808 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8841 loss: 0.8841 2022/08/05 02:07:22 - mmengine - INFO - Epoch(train) [178][500/1879] lr: 1.0000e-04 eta: 17:46:43 time: 0.4526 data_time: 0.0158 memory: 17087 grad_norm: 6.8484 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6851 loss: 0.6851 2022/08/05 02:07:31 - mmengine - INFO - Epoch(train) [178][520/1879] lr: 1.0000e-04 eta: 17:46:35 time: 0.4296 data_time: 0.0165 memory: 17087 grad_norm: 6.6619 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8397 loss: 0.8397 2022/08/05 02:07:39 - mmengine - INFO - Epoch(train) [178][540/1879] lr: 1.0000e-04 eta: 17:46:26 time: 0.4333 data_time: 0.0196 memory: 17087 grad_norm: 6.8651 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7598 loss: 0.7598 2022/08/05 02:07:48 - mmengine - INFO - Epoch(train) [178][560/1879] lr: 1.0000e-04 eta: 17:46:17 time: 0.4617 data_time: 0.0182 memory: 17087 grad_norm: 7.0111 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9286 loss: 0.9286 2022/08/05 02:07:58 - mmengine - INFO - Epoch(train) [178][580/1879] lr: 1.0000e-04 eta: 17:46:09 time: 0.4517 data_time: 0.0168 memory: 17087 grad_norm: 7.0358 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0752 loss: 1.0752 2022/08/05 02:08:06 - mmengine - INFO - Epoch(train) [178][600/1879] lr: 1.0000e-04 eta: 17:46:00 time: 0.4321 data_time: 0.0159 memory: 17087 grad_norm: 6.9931 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9526 loss: 0.9526 2022/08/05 02:08:15 - mmengine - INFO - Epoch(train) [178][620/1879] lr: 1.0000e-04 eta: 17:45:52 time: 0.4553 data_time: 0.0231 memory: 17087 grad_norm: 7.0698 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8783 loss: 0.8783 2022/08/05 02:08:24 - mmengine - INFO - Epoch(train) [178][640/1879] lr: 1.0000e-04 eta: 17:45:43 time: 0.4293 data_time: 0.0157 memory: 17087 grad_norm: 6.6055 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9016 loss: 0.9016 2022/08/05 02:08:33 - mmengine - INFO - Epoch(train) [178][660/1879] lr: 1.0000e-04 eta: 17:45:35 time: 0.4389 data_time: 0.0168 memory: 17087 grad_norm: 6.7636 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9616 loss: 0.9616 2022/08/05 02:08:42 - mmengine - INFO - Epoch(train) [178][680/1879] lr: 1.0000e-04 eta: 17:45:26 time: 0.4397 data_time: 0.0180 memory: 17087 grad_norm: 6.8200 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8299 loss: 0.8299 2022/08/05 02:08:50 - mmengine - INFO - Epoch(train) [178][700/1879] lr: 1.0000e-04 eta: 17:45:17 time: 0.4317 data_time: 0.0151 memory: 17087 grad_norm: 6.6958 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7868 loss: 0.7868 2022/08/05 02:08:59 - mmengine - INFO - Epoch(train) [178][720/1879] lr: 1.0000e-04 eta: 17:45:09 time: 0.4319 data_time: 0.0182 memory: 17087 grad_norm: 6.6655 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8675 loss: 0.8675 2022/08/05 02:09:08 - mmengine - INFO - Epoch(train) [178][740/1879] lr: 1.0000e-04 eta: 17:45:00 time: 0.4528 data_time: 0.0206 memory: 17087 grad_norm: 6.6718 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8768 loss: 0.8768 2022/08/05 02:09:17 - mmengine - INFO - Epoch(train) [178][760/1879] lr: 1.0000e-04 eta: 17:44:52 time: 0.4295 data_time: 0.0174 memory: 17087 grad_norm: 6.9079 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7925 loss: 0.7925 2022/08/05 02:09:25 - mmengine - INFO - Epoch(train) [178][780/1879] lr: 1.0000e-04 eta: 17:44:43 time: 0.4424 data_time: 0.0215 memory: 17087 grad_norm: 6.9564 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8827 loss: 0.8827 2022/08/05 02:09:34 - mmengine - INFO - Epoch(train) [178][800/1879] lr: 1.0000e-04 eta: 17:44:34 time: 0.4301 data_time: 0.0165 memory: 17087 grad_norm: 6.6380 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8474 loss: 0.8474 2022/08/05 02:09:43 - mmengine - INFO - Epoch(train) [178][820/1879] lr: 1.0000e-04 eta: 17:44:26 time: 0.4668 data_time: 0.0168 memory: 17087 grad_norm: 6.7889 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8721 loss: 0.8721 2022/08/05 02:09:52 - mmengine - INFO - Epoch(train) [178][840/1879] lr: 1.0000e-04 eta: 17:44:17 time: 0.4299 data_time: 0.0174 memory: 17087 grad_norm: 6.7442 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7936 loss: 0.7936 2022/08/05 02:10:01 - mmengine - INFO - Epoch(train) [178][860/1879] lr: 1.0000e-04 eta: 17:44:09 time: 0.4609 data_time: 0.0138 memory: 17087 grad_norm: 6.6304 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7076 loss: 0.7076 2022/08/05 02:10:10 - mmengine - INFO - Epoch(train) [178][880/1879] lr: 1.0000e-04 eta: 17:44:00 time: 0.4300 data_time: 0.0157 memory: 17087 grad_norm: 6.7601 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8224 loss: 0.8224 2022/08/05 02:10:19 - mmengine - INFO - Epoch(train) [178][900/1879] lr: 1.0000e-04 eta: 17:43:52 time: 0.4306 data_time: 0.0161 memory: 17087 grad_norm: 6.8243 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8982 loss: 0.8982 2022/08/05 02:10:28 - mmengine - INFO - Epoch(train) [178][920/1879] lr: 1.0000e-04 eta: 17:43:43 time: 0.4519 data_time: 0.0219 memory: 17087 grad_norm: 6.8810 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7849 loss: 0.7849 2022/08/05 02:10:36 - mmengine - INFO - Epoch(train) [178][940/1879] lr: 1.0000e-04 eta: 17:43:34 time: 0.4353 data_time: 0.0204 memory: 17087 grad_norm: 6.8209 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8158 loss: 0.8158 2022/08/05 02:10:45 - mmengine - INFO - Epoch(train) [178][960/1879] lr: 1.0000e-04 eta: 17:43:26 time: 0.4527 data_time: 0.0171 memory: 17087 grad_norm: 6.8059 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7994 loss: 0.7994 2022/08/05 02:10:54 - mmengine - INFO - Epoch(train) [178][980/1879] lr: 1.0000e-04 eta: 17:43:17 time: 0.4303 data_time: 0.0152 memory: 17087 grad_norm: 6.8456 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9024 loss: 0.9024 2022/08/05 02:11:03 - mmengine - INFO - Epoch(train) [178][1000/1879] lr: 1.0000e-04 eta: 17:43:09 time: 0.4572 data_time: 0.0168 memory: 17087 grad_norm: 6.7071 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8447 loss: 0.8447 2022/08/05 02:11:12 - mmengine - INFO - Epoch(train) [178][1020/1879] lr: 1.0000e-04 eta: 17:43:00 time: 0.4379 data_time: 0.0202 memory: 17087 grad_norm: 6.7586 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7823 loss: 0.7823 2022/08/05 02:11:21 - mmengine - INFO - Epoch(train) [178][1040/1879] lr: 1.0000e-04 eta: 17:42:52 time: 0.4606 data_time: 0.0172 memory: 17087 grad_norm: 7.0812 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9859 loss: 0.9859 2022/08/05 02:11:30 - mmengine - INFO - Epoch(train) [178][1060/1879] lr: 1.0000e-04 eta: 17:42:43 time: 0.4276 data_time: 0.0130 memory: 17087 grad_norm: 6.7916 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9126 loss: 0.9126 2022/08/05 02:11:38 - mmengine - INFO - Epoch(train) [178][1080/1879] lr: 1.0000e-04 eta: 17:42:34 time: 0.4344 data_time: 0.0205 memory: 17087 grad_norm: 6.5100 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7760 loss: 0.7760 2022/08/05 02:11:47 - mmengine - INFO - Epoch(train) [178][1100/1879] lr: 1.0000e-04 eta: 17:42:26 time: 0.4348 data_time: 0.0190 memory: 17087 grad_norm: 7.0030 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8077 loss: 0.8077 2022/08/05 02:11:56 - mmengine - INFO - Epoch(train) [178][1120/1879] lr: 1.0000e-04 eta: 17:42:17 time: 0.4325 data_time: 0.0184 memory: 17087 grad_norm: 6.8875 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8689 loss: 0.8689 2022/08/05 02:12:05 - mmengine - INFO - Epoch(train) [178][1140/1879] lr: 1.0000e-04 eta: 17:42:09 time: 0.4520 data_time: 0.0140 memory: 17087 grad_norm: 6.7233 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8451 loss: 0.8451 2022/08/05 02:12:14 - mmengine - INFO - Epoch(train) [178][1160/1879] lr: 1.0000e-04 eta: 17:42:00 time: 0.4350 data_time: 0.0199 memory: 17087 grad_norm: 6.7337 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8661 loss: 0.8661 2022/08/05 02:12:22 - mmengine - INFO - Epoch(train) [178][1180/1879] lr: 1.0000e-04 eta: 17:41:51 time: 0.4310 data_time: 0.0142 memory: 17087 grad_norm: 6.8398 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.8999 loss: 0.8999 2022/08/05 02:12:31 - mmengine - INFO - Epoch(train) [178][1200/1879] lr: 1.0000e-04 eta: 17:41:43 time: 0.4455 data_time: 0.0169 memory: 17087 grad_norm: 6.6649 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9474 loss: 0.9474 2022/08/05 02:12:40 - mmengine - INFO - Epoch(train) [178][1220/1879] lr: 1.0000e-04 eta: 17:41:34 time: 0.4290 data_time: 0.0129 memory: 17087 grad_norm: 6.8132 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8081 loss: 0.8081 2022/08/05 02:12:49 - mmengine - INFO - Epoch(train) [178][1240/1879] lr: 1.0000e-04 eta: 17:41:26 time: 0.4407 data_time: 0.0179 memory: 17087 grad_norm: 6.6331 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7414 loss: 0.7414 2022/08/05 02:12:57 - mmengine - INFO - Epoch(train) [178][1260/1879] lr: 1.0000e-04 eta: 17:41:17 time: 0.4304 data_time: 0.0151 memory: 17087 grad_norm: 6.7744 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6952 loss: 0.6952 2022/08/05 02:13:06 - mmengine - INFO - Epoch(train) [178][1280/1879] lr: 1.0000e-04 eta: 17:41:08 time: 0.4382 data_time: 0.0213 memory: 17087 grad_norm: 7.0022 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7835 loss: 0.7835 2022/08/05 02:13:15 - mmengine - INFO - Epoch(train) [178][1300/1879] lr: 1.0000e-04 eta: 17:41:00 time: 0.4341 data_time: 0.0140 memory: 17087 grad_norm: 6.9355 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8236 loss: 0.8236 2022/08/05 02:13:23 - mmengine - INFO - Epoch(train) [178][1320/1879] lr: 1.0000e-04 eta: 17:40:51 time: 0.4351 data_time: 0.0186 memory: 17087 grad_norm: 6.9920 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8033 loss: 0.8033 2022/08/05 02:13:32 - mmengine - INFO - Epoch(train) [178][1340/1879] lr: 1.0000e-04 eta: 17:40:42 time: 0.4376 data_time: 0.0150 memory: 17087 grad_norm: 6.6790 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6594 loss: 0.6594 2022/08/05 02:13:41 - mmengine - INFO - Epoch(train) [178][1360/1879] lr: 1.0000e-04 eta: 17:40:34 time: 0.4333 data_time: 0.0198 memory: 17087 grad_norm: 6.6811 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8188 loss: 0.8188 2022/08/05 02:13:49 - mmengine - INFO - Epoch(train) [178][1380/1879] lr: 1.0000e-04 eta: 17:40:25 time: 0.4300 data_time: 0.0166 memory: 17087 grad_norm: 6.9101 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0375 loss: 1.0375 2022/08/05 02:13:58 - mmengine - INFO - Epoch(train) [178][1400/1879] lr: 1.0000e-04 eta: 17:40:16 time: 0.4306 data_time: 0.0170 memory: 17087 grad_norm: 6.9500 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7995 loss: 0.7995 2022/08/05 02:14:06 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 02:14:07 - mmengine - INFO - Epoch(train) [178][1420/1879] lr: 1.0000e-04 eta: 17:40:08 time: 0.4410 data_time: 0.0169 memory: 17087 grad_norm: 6.9382 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8115 loss: 0.8115 2022/08/05 02:14:16 - mmengine - INFO - Epoch(train) [178][1440/1879] lr: 1.0000e-04 eta: 17:39:59 time: 0.4294 data_time: 0.0181 memory: 17087 grad_norm: 6.5642 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9214 loss: 0.9214 2022/08/05 02:14:25 - mmengine - INFO - Epoch(train) [178][1460/1879] lr: 1.0000e-04 eta: 17:39:51 time: 0.4623 data_time: 0.0187 memory: 17087 grad_norm: 6.8682 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8305 loss: 0.8305 2022/08/05 02:14:34 - mmengine - INFO - Epoch(train) [178][1480/1879] lr: 1.0000e-04 eta: 17:39:42 time: 0.4294 data_time: 0.0162 memory: 17087 grad_norm: 6.9915 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8436 loss: 0.8436 2022/08/05 02:14:43 - mmengine - INFO - Epoch(train) [178][1500/1879] lr: 1.0000e-04 eta: 17:39:34 time: 0.4591 data_time: 0.0213 memory: 17087 grad_norm: 7.0143 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9822 loss: 0.9822 2022/08/05 02:14:51 - mmengine - INFO - Epoch(train) [178][1520/1879] lr: 1.0000e-04 eta: 17:39:25 time: 0.4318 data_time: 0.0174 memory: 17087 grad_norm: 6.9386 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8826 loss: 0.8826 2022/08/05 02:15:00 - mmengine - INFO - Epoch(train) [178][1540/1879] lr: 1.0000e-04 eta: 17:39:16 time: 0.4349 data_time: 0.0196 memory: 17087 grad_norm: 6.7482 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9283 loss: 0.9283 2022/08/05 02:15:09 - mmengine - INFO - Epoch(train) [178][1560/1879] lr: 1.0000e-04 eta: 17:39:08 time: 0.4330 data_time: 0.0175 memory: 17087 grad_norm: 6.9298 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8126 loss: 0.8126 2022/08/05 02:15:17 - mmengine - INFO - Epoch(train) [178][1580/1879] lr: 1.0000e-04 eta: 17:38:59 time: 0.4347 data_time: 0.0139 memory: 17087 grad_norm: 6.6168 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8351 loss: 0.8351 2022/08/05 02:15:27 - mmengine - INFO - Epoch(train) [178][1600/1879] lr: 1.0000e-04 eta: 17:38:51 time: 0.4616 data_time: 0.0199 memory: 17087 grad_norm: 6.7231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8020 loss: 0.8020 2022/08/05 02:15:35 - mmengine - INFO - Epoch(train) [178][1620/1879] lr: 1.0000e-04 eta: 17:38:42 time: 0.4289 data_time: 0.0132 memory: 17087 grad_norm: 6.7208 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7298 loss: 0.7298 2022/08/05 02:15:44 - mmengine - INFO - Epoch(train) [178][1640/1879] lr: 1.0000e-04 eta: 17:38:33 time: 0.4411 data_time: 0.0235 memory: 17087 grad_norm: 6.7223 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6345 loss: 0.6345 2022/08/05 02:15:53 - mmengine - INFO - Epoch(train) [178][1660/1879] lr: 1.0000e-04 eta: 17:38:25 time: 0.4291 data_time: 0.0148 memory: 17087 grad_norm: 6.7375 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9124 loss: 0.9124 2022/08/05 02:16:02 - mmengine - INFO - Epoch(train) [178][1680/1879] lr: 1.0000e-04 eta: 17:38:16 time: 0.4647 data_time: 0.0190 memory: 17087 grad_norm: 6.8811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7782 loss: 0.7782 2022/08/05 02:16:11 - mmengine - INFO - Epoch(train) [178][1700/1879] lr: 1.0000e-04 eta: 17:38:08 time: 0.4279 data_time: 0.0138 memory: 17087 grad_norm: 6.9631 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8727 loss: 0.8727 2022/08/05 02:16:19 - mmengine - INFO - Epoch(train) [178][1720/1879] lr: 1.0000e-04 eta: 17:37:59 time: 0.4335 data_time: 0.0207 memory: 17087 grad_norm: 7.0452 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9937 loss: 0.9937 2022/08/05 02:16:28 - mmengine - INFO - Epoch(train) [178][1740/1879] lr: 1.0000e-04 eta: 17:37:51 time: 0.4565 data_time: 0.0142 memory: 17087 grad_norm: 6.9701 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9682 loss: 0.9682 2022/08/05 02:16:37 - mmengine - INFO - Epoch(train) [178][1760/1879] lr: 1.0000e-04 eta: 17:37:42 time: 0.4305 data_time: 0.0190 memory: 17087 grad_norm: 6.8849 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9804 loss: 0.9804 2022/08/05 02:16:46 - mmengine - INFO - Epoch(train) [178][1780/1879] lr: 1.0000e-04 eta: 17:37:34 time: 0.4593 data_time: 0.0196 memory: 17087 grad_norm: 6.9570 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9389 loss: 0.9389 2022/08/05 02:16:55 - mmengine - INFO - Epoch(train) [178][1800/1879] lr: 1.0000e-04 eta: 17:37:25 time: 0.4300 data_time: 0.0167 memory: 17087 grad_norm: 6.9587 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9745 loss: 0.9745 2022/08/05 02:17:04 - mmengine - INFO - Epoch(train) [178][1820/1879] lr: 1.0000e-04 eta: 17:37:16 time: 0.4587 data_time: 0.0222 memory: 17087 grad_norm: 6.8715 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8920 loss: 0.8920 2022/08/05 02:17:13 - mmengine - INFO - Epoch(train) [178][1840/1879] lr: 1.0000e-04 eta: 17:37:08 time: 0.4298 data_time: 0.0153 memory: 17087 grad_norm: 6.6730 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9986 loss: 0.9986 2022/08/05 02:17:21 - mmengine - INFO - Epoch(train) [178][1860/1879] lr: 1.0000e-04 eta: 17:36:59 time: 0.4390 data_time: 0.0212 memory: 17087 grad_norm: 6.9143 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7860 loss: 0.7860 2022/08/05 02:17:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 02:17:29 - mmengine - INFO - Epoch(train) [178][1879/1879] lr: 1.0000e-04 eta: 17:36:59 time: 0.4106 data_time: 0.0153 memory: 17087 grad_norm: 6.9010 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0043 loss: 1.0043 2022/08/05 02:17:41 - mmengine - INFO - Epoch(train) [179][20/1879] lr: 1.0000e-04 eta: 17:36:40 time: 0.5661 data_time: 0.1222 memory: 17087 grad_norm: 6.7040 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8816 loss: 0.8816 2022/08/05 02:17:49 - mmengine - INFO - Epoch(train) [179][40/1879] lr: 1.0000e-04 eta: 17:36:31 time: 0.4406 data_time: 0.0161 memory: 17087 grad_norm: 6.5797 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7999 loss: 0.7999 2022/08/05 02:17:58 - mmengine - INFO - Epoch(train) [179][60/1879] lr: 1.0000e-04 eta: 17:36:23 time: 0.4308 data_time: 0.0155 memory: 17087 grad_norm: 6.9541 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9756 loss: 0.9756 2022/08/05 02:18:07 - mmengine - INFO - Epoch(train) [179][80/1879] lr: 1.0000e-04 eta: 17:36:14 time: 0.4320 data_time: 0.0166 memory: 17087 grad_norm: 6.8789 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8551 loss: 0.8551 2022/08/05 02:18:16 - mmengine - INFO - Epoch(train) [179][100/1879] lr: 1.0000e-04 eta: 17:36:05 time: 0.4372 data_time: 0.0157 memory: 17087 grad_norm: 6.8226 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7616 loss: 0.7616 2022/08/05 02:18:24 - mmengine - INFO - Epoch(train) [179][120/1879] lr: 1.0000e-04 eta: 17:35:57 time: 0.4319 data_time: 0.0173 memory: 17087 grad_norm: 6.7052 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9306 loss: 0.9306 2022/08/05 02:18:33 - mmengine - INFO - Epoch(train) [179][140/1879] lr: 1.0000e-04 eta: 17:35:48 time: 0.4331 data_time: 0.0184 memory: 17087 grad_norm: 6.8638 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7429 loss: 0.7429 2022/08/05 02:18:41 - mmengine - INFO - Epoch(train) [179][160/1879] lr: 1.0000e-04 eta: 17:35:39 time: 0.4285 data_time: 0.0152 memory: 17087 grad_norm: 6.7206 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8734 loss: 0.8734 2022/08/05 02:18:50 - mmengine - INFO - Epoch(train) [179][180/1879] lr: 1.0000e-04 eta: 17:35:31 time: 0.4292 data_time: 0.0143 memory: 17087 grad_norm: 6.8661 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8303 loss: 0.8303 2022/08/05 02:18:59 - mmengine - INFO - Epoch(train) [179][200/1879] lr: 1.0000e-04 eta: 17:35:22 time: 0.4457 data_time: 0.0176 memory: 17087 grad_norm: 7.0642 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8747 loss: 0.8747 2022/08/05 02:19:08 - mmengine - INFO - Epoch(train) [179][220/1879] lr: 1.0000e-04 eta: 17:35:13 time: 0.4296 data_time: 0.0156 memory: 17087 grad_norm: 6.8469 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8959 loss: 0.8959 2022/08/05 02:19:16 - mmengine - INFO - Epoch(train) [179][240/1879] lr: 1.0000e-04 eta: 17:35:05 time: 0.4382 data_time: 0.0214 memory: 17087 grad_norm: 6.6581 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8098 loss: 0.8098 2022/08/05 02:19:25 - mmengine - INFO - Epoch(train) [179][260/1879] lr: 1.0000e-04 eta: 17:34:56 time: 0.4316 data_time: 0.0139 memory: 17087 grad_norm: 6.7452 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 1.0519 loss: 1.0519 2022/08/05 02:19:34 - mmengine - INFO - Epoch(train) [179][280/1879] lr: 1.0000e-04 eta: 17:34:48 time: 0.4319 data_time: 0.0171 memory: 17087 grad_norm: 6.9818 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7228 loss: 0.7228 2022/08/05 02:19:42 - mmengine - INFO - Epoch(train) [179][300/1879] lr: 1.0000e-04 eta: 17:34:39 time: 0.4332 data_time: 0.0146 memory: 17087 grad_norm: 6.9753 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9921 loss: 0.9921 2022/08/05 02:19:51 - mmengine - INFO - Epoch(train) [179][320/1879] lr: 1.0000e-04 eta: 17:34:30 time: 0.4318 data_time: 0.0164 memory: 17087 grad_norm: 6.9237 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9551 loss: 0.9551 2022/08/05 02:20:00 - mmengine - INFO - Epoch(train) [179][340/1879] lr: 1.0000e-04 eta: 17:34:22 time: 0.4281 data_time: 0.0138 memory: 17087 grad_norm: 6.9502 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7540 loss: 0.7540 2022/08/05 02:20:08 - mmengine - INFO - Epoch(train) [179][360/1879] lr: 1.0000e-04 eta: 17:34:13 time: 0.4381 data_time: 0.0158 memory: 17087 grad_norm: 6.4866 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8332 loss: 0.8332 2022/08/05 02:20:17 - mmengine - INFO - Epoch(train) [179][380/1879] lr: 1.0000e-04 eta: 17:34:04 time: 0.4296 data_time: 0.0160 memory: 17087 grad_norm: 6.7538 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9693 loss: 0.9693 2022/08/05 02:20:26 - mmengine - INFO - Epoch(train) [179][400/1879] lr: 1.0000e-04 eta: 17:33:56 time: 0.4506 data_time: 0.0160 memory: 17087 grad_norm: 6.7565 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7576 loss: 0.7576 2022/08/05 02:20:35 - mmengine - INFO - Epoch(train) [179][420/1879] lr: 1.0000e-04 eta: 17:33:47 time: 0.4361 data_time: 0.0199 memory: 17087 grad_norm: 6.8046 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7787 loss: 0.7787 2022/08/05 02:20:44 - mmengine - INFO - Epoch(train) [179][440/1879] lr: 1.0000e-04 eta: 17:33:39 time: 0.4467 data_time: 0.0160 memory: 17087 grad_norm: 6.7612 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8158 loss: 0.8158 2022/08/05 02:20:52 - mmengine - INFO - Epoch(train) [179][460/1879] lr: 1.0000e-04 eta: 17:33:30 time: 0.4338 data_time: 0.0163 memory: 17087 grad_norm: 6.8978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8594 loss: 0.8594 2022/08/05 02:21:01 - mmengine - INFO - Epoch(train) [179][480/1879] lr: 1.0000e-04 eta: 17:33:21 time: 0.4341 data_time: 0.0153 memory: 17087 grad_norm: 6.9127 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8736 loss: 0.8736 2022/08/05 02:21:10 - mmengine - INFO - Epoch(train) [179][500/1879] lr: 1.0000e-04 eta: 17:33:13 time: 0.4552 data_time: 0.0145 memory: 17087 grad_norm: 6.7378 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9474 loss: 0.9474 2022/08/05 02:21:19 - mmengine - INFO - Epoch(train) [179][520/1879] lr: 1.0000e-04 eta: 17:33:04 time: 0.4374 data_time: 0.0231 memory: 17087 grad_norm: 6.9069 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9105 loss: 0.9105 2022/08/05 02:21:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 02:21:28 - mmengine - INFO - Epoch(train) [179][540/1879] lr: 1.0000e-04 eta: 17:32:56 time: 0.4328 data_time: 0.0151 memory: 17087 grad_norm: 6.8550 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8414 loss: 0.8414 2022/08/05 02:21:36 - mmengine - INFO - Epoch(train) [179][560/1879] lr: 1.0000e-04 eta: 17:32:47 time: 0.4315 data_time: 0.0168 memory: 17087 grad_norm: 6.8283 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6967 loss: 0.6967 2022/08/05 02:21:46 - mmengine - INFO - Epoch(train) [179][580/1879] lr: 1.0000e-04 eta: 17:32:38 time: 0.4585 data_time: 0.0161 memory: 17087 grad_norm: 7.0079 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9382 loss: 0.9382 2022/08/05 02:21:54 - mmengine - INFO - Epoch(train) [179][600/1879] lr: 1.0000e-04 eta: 17:32:30 time: 0.4315 data_time: 0.0164 memory: 17087 grad_norm: 6.8335 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7807 loss: 0.7807 2022/08/05 02:22:03 - mmengine - INFO - Epoch(train) [179][620/1879] lr: 1.0000e-04 eta: 17:32:21 time: 0.4419 data_time: 0.0158 memory: 17087 grad_norm: 6.9273 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0284 loss: 1.0284 2022/08/05 02:22:12 - mmengine - INFO - Epoch(train) [179][640/1879] lr: 1.0000e-04 eta: 17:32:13 time: 0.4291 data_time: 0.0154 memory: 17087 grad_norm: 6.8239 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9830 loss: 0.9830 2022/08/05 02:22:20 - mmengine - INFO - Epoch(train) [179][660/1879] lr: 1.0000e-04 eta: 17:32:04 time: 0.4303 data_time: 0.0168 memory: 17087 grad_norm: 7.0903 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8299 loss: 0.8299 2022/08/05 02:22:29 - mmengine - INFO - Epoch(train) [179][680/1879] lr: 1.0000e-04 eta: 17:31:55 time: 0.4353 data_time: 0.0200 memory: 17087 grad_norm: 6.8353 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9952 loss: 0.9952 2022/08/05 02:22:38 - mmengine - INFO - Epoch(train) [179][700/1879] lr: 1.0000e-04 eta: 17:31:47 time: 0.4645 data_time: 0.0152 memory: 17087 grad_norm: 7.0621 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8106 loss: 0.8106 2022/08/05 02:22:47 - mmengine - INFO - Epoch(train) [179][720/1879] lr: 1.0000e-04 eta: 17:31:38 time: 0.4308 data_time: 0.0161 memory: 17087 grad_norm: 6.6574 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7403 loss: 0.7403 2022/08/05 02:22:56 - mmengine - INFO - Epoch(train) [179][740/1879] lr: 1.0000e-04 eta: 17:31:30 time: 0.4334 data_time: 0.0158 memory: 17087 grad_norm: 6.7782 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8190 loss: 0.8190 2022/08/05 02:23:04 - mmengine - INFO - Epoch(train) [179][760/1879] lr: 1.0000e-04 eta: 17:31:21 time: 0.4296 data_time: 0.0165 memory: 17087 grad_norm: 6.5844 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7421 loss: 0.7421 2022/08/05 02:23:14 - mmengine - INFO - Epoch(train) [179][780/1879] lr: 1.0000e-04 eta: 17:31:13 time: 0.4639 data_time: 0.0169 memory: 17087 grad_norm: 6.9215 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9142 loss: 0.9142 2022/08/05 02:23:22 - mmengine - INFO - Epoch(train) [179][800/1879] lr: 1.0000e-04 eta: 17:31:04 time: 0.4306 data_time: 0.0175 memory: 17087 grad_norm: 6.8275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8296 loss: 0.8296 2022/08/05 02:23:31 - mmengine - INFO - Epoch(train) [179][820/1879] lr: 1.0000e-04 eta: 17:30:55 time: 0.4308 data_time: 0.0145 memory: 17087 grad_norm: 6.7267 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7494 loss: 0.7494 2022/08/05 02:23:40 - mmengine - INFO - Epoch(train) [179][840/1879] lr: 1.0000e-04 eta: 17:30:47 time: 0.4640 data_time: 0.0173 memory: 17087 grad_norm: 6.9049 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9131 loss: 0.9131 2022/08/05 02:23:49 - mmengine - INFO - Epoch(train) [179][860/1879] lr: 1.0000e-04 eta: 17:30:38 time: 0.4271 data_time: 0.0138 memory: 17087 grad_norm: 6.8253 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8324 loss: 0.8324 2022/08/05 02:23:58 - mmengine - INFO - Epoch(train) [179][880/1879] lr: 1.0000e-04 eta: 17:30:30 time: 0.4565 data_time: 0.0178 memory: 17087 grad_norm: 6.6002 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6569 loss: 0.6569 2022/08/05 02:24:06 - mmengine - INFO - Epoch(train) [179][900/1879] lr: 1.0000e-04 eta: 17:30:21 time: 0.4295 data_time: 0.0155 memory: 17087 grad_norm: 6.9193 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8986 loss: 0.8986 2022/08/05 02:24:15 - mmengine - INFO - Epoch(train) [179][920/1879] lr: 1.0000e-04 eta: 17:30:12 time: 0.4334 data_time: 0.0164 memory: 17087 grad_norm: 6.8149 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0331 loss: 1.0331 2022/08/05 02:24:25 - mmengine - INFO - Epoch(train) [179][940/1879] lr: 1.0000e-04 eta: 17:30:04 time: 0.4946 data_time: 0.0817 memory: 17087 grad_norm: 6.8536 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7652 loss: 0.7652 2022/08/05 02:24:34 - mmengine - INFO - Epoch(train) [179][960/1879] lr: 1.0000e-04 eta: 17:29:56 time: 0.4371 data_time: 0.0171 memory: 17087 grad_norm: 6.6105 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8817 loss: 0.8817 2022/08/05 02:24:42 - mmengine - INFO - Epoch(train) [179][980/1879] lr: 1.0000e-04 eta: 17:29:47 time: 0.4286 data_time: 0.0145 memory: 17087 grad_norm: 6.9366 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8498 loss: 0.8498 2022/08/05 02:24:51 - mmengine - INFO - Epoch(train) [179][1000/1879] lr: 1.0000e-04 eta: 17:29:38 time: 0.4305 data_time: 0.0159 memory: 17087 grad_norm: 6.6834 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8144 loss: 0.8144 2022/08/05 02:25:00 - mmengine - INFO - Epoch(train) [179][1020/1879] lr: 1.0000e-04 eta: 17:29:30 time: 0.4504 data_time: 0.0148 memory: 17087 grad_norm: 6.6007 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8719 loss: 0.8719 2022/08/05 02:25:09 - mmengine - INFO - Epoch(train) [179][1040/1879] lr: 1.0000e-04 eta: 17:29:21 time: 0.4325 data_time: 0.0173 memory: 17087 grad_norm: 7.0212 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0046 loss: 1.0046 2022/08/05 02:25:18 - mmengine - INFO - Epoch(train) [179][1060/1879] lr: 1.0000e-04 eta: 17:29:13 time: 0.4488 data_time: 0.0155 memory: 17087 grad_norm: 6.7448 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9157 loss: 0.9157 2022/08/05 02:25:26 - mmengine - INFO - Epoch(train) [179][1080/1879] lr: 1.0000e-04 eta: 17:29:04 time: 0.4299 data_time: 0.0161 memory: 17087 grad_norm: 6.9853 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8211 loss: 0.8211 2022/08/05 02:25:35 - mmengine - INFO - Epoch(train) [179][1100/1879] lr: 1.0000e-04 eta: 17:28:55 time: 0.4498 data_time: 0.0141 memory: 17087 grad_norm: 6.8776 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8697 loss: 0.8697 2022/08/05 02:25:44 - mmengine - INFO - Epoch(train) [179][1120/1879] lr: 1.0000e-04 eta: 17:28:47 time: 0.4295 data_time: 0.0171 memory: 17087 grad_norm: 6.9257 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7280 loss: 0.7280 2022/08/05 02:25:53 - mmengine - INFO - Epoch(train) [179][1140/1879] lr: 1.0000e-04 eta: 17:28:38 time: 0.4444 data_time: 0.0155 memory: 17087 grad_norm: 7.0031 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8468 loss: 0.8468 2022/08/05 02:26:01 - mmengine - INFO - Epoch(train) [179][1160/1879] lr: 1.0000e-04 eta: 17:28:29 time: 0.4309 data_time: 0.0169 memory: 17087 grad_norm: 6.7662 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8819 loss: 0.8819 2022/08/05 02:26:10 - mmengine - INFO - Epoch(train) [179][1180/1879] lr: 1.0000e-04 eta: 17:28:21 time: 0.4273 data_time: 0.0140 memory: 17087 grad_norm: 7.0472 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7905 loss: 0.7905 2022/08/05 02:26:19 - mmengine - INFO - Epoch(train) [179][1200/1879] lr: 1.0000e-04 eta: 17:28:12 time: 0.4375 data_time: 0.0167 memory: 17087 grad_norm: 7.0961 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9159 loss: 0.9159 2022/08/05 02:26:27 - mmengine - INFO - Epoch(train) [179][1220/1879] lr: 1.0000e-04 eta: 17:28:03 time: 0.4286 data_time: 0.0147 memory: 17087 grad_norm: 6.5308 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7352 loss: 0.7352 2022/08/05 02:26:36 - mmengine - INFO - Epoch(train) [179][1240/1879] lr: 1.0000e-04 eta: 17:27:55 time: 0.4391 data_time: 0.0190 memory: 17087 grad_norm: 6.9043 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8709 loss: 0.8709 2022/08/05 02:26:45 - mmengine - INFO - Epoch(train) [179][1260/1879] lr: 1.0000e-04 eta: 17:27:46 time: 0.4320 data_time: 0.0130 memory: 17087 grad_norm: 6.9453 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9050 loss: 0.9050 2022/08/05 02:26:54 - mmengine - INFO - Epoch(train) [179][1280/1879] lr: 1.0000e-04 eta: 17:27:38 time: 0.4546 data_time: 0.0182 memory: 17087 grad_norm: 6.6598 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7389 loss: 0.7389 2022/08/05 02:27:03 - mmengine - INFO - Epoch(train) [179][1300/1879] lr: 1.0000e-04 eta: 17:27:29 time: 0.4278 data_time: 0.0141 memory: 17087 grad_norm: 6.8509 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0442 loss: 1.0442 2022/08/05 02:27:11 - mmengine - INFO - Epoch(train) [179][1320/1879] lr: 1.0000e-04 eta: 17:27:20 time: 0.4302 data_time: 0.0174 memory: 17087 grad_norm: 6.9861 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8628 loss: 0.8628 2022/08/05 02:27:20 - mmengine - INFO - Epoch(train) [179][1340/1879] lr: 1.0000e-04 eta: 17:27:12 time: 0.4451 data_time: 0.0140 memory: 17087 grad_norm: 6.8438 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8819 loss: 0.8819 2022/08/05 02:27:29 - mmengine - INFO - Epoch(train) [179][1360/1879] lr: 1.0000e-04 eta: 17:27:03 time: 0.4324 data_time: 0.0172 memory: 17087 grad_norm: 6.8273 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7604 loss: 0.7604 2022/08/05 02:27:37 - mmengine - INFO - Epoch(train) [179][1380/1879] lr: 1.0000e-04 eta: 17:26:55 time: 0.4325 data_time: 0.0165 memory: 17087 grad_norm: 6.6121 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8307 loss: 0.8307 2022/08/05 02:27:46 - mmengine - INFO - Epoch(train) [179][1400/1879] lr: 1.0000e-04 eta: 17:26:46 time: 0.4288 data_time: 0.0157 memory: 17087 grad_norm: 6.6952 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7989 loss: 0.7989 2022/08/05 02:27:55 - mmengine - INFO - Epoch(train) [179][1420/1879] lr: 1.0000e-04 eta: 17:26:37 time: 0.4364 data_time: 0.0149 memory: 17087 grad_norm: 6.8011 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9447 loss: 0.9447 2022/08/05 02:28:03 - mmengine - INFO - Epoch(train) [179][1440/1879] lr: 1.0000e-04 eta: 17:26:29 time: 0.4292 data_time: 0.0154 memory: 17087 grad_norm: 7.1411 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0949 loss: 1.0949 2022/08/05 02:28:12 - mmengine - INFO - Epoch(train) [179][1460/1879] lr: 1.0000e-04 eta: 17:26:20 time: 0.4329 data_time: 0.0176 memory: 17087 grad_norm: 6.9714 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8632 loss: 0.8632 2022/08/05 02:28:21 - mmengine - INFO - Epoch(train) [179][1480/1879] lr: 1.0000e-04 eta: 17:26:11 time: 0.4305 data_time: 0.0172 memory: 17087 grad_norm: 6.7685 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7954 loss: 0.7954 2022/08/05 02:28:29 - mmengine - INFO - Epoch(train) [179][1500/1879] lr: 1.0000e-04 eta: 17:26:03 time: 0.4265 data_time: 0.0140 memory: 17087 grad_norm: 6.5894 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8924 loss: 0.8924 2022/08/05 02:28:38 - mmengine - INFO - Epoch(train) [179][1520/1879] lr: 1.0000e-04 eta: 17:25:54 time: 0.4345 data_time: 0.0164 memory: 17087 grad_norm: 6.9706 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0950 loss: 1.0950 2022/08/05 02:28:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 02:28:47 - mmengine - INFO - Epoch(train) [179][1540/1879] lr: 1.0000e-04 eta: 17:25:45 time: 0.4290 data_time: 0.0179 memory: 17087 grad_norm: 6.8975 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7784 loss: 0.7784 2022/08/05 02:28:56 - mmengine - INFO - Epoch(train) [179][1560/1879] lr: 1.0000e-04 eta: 17:25:37 time: 0.4568 data_time: 0.0190 memory: 17087 grad_norm: 6.9679 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9520 loss: 0.9520 2022/08/05 02:29:04 - mmengine - INFO - Epoch(train) [179][1580/1879] lr: 1.0000e-04 eta: 17:25:28 time: 0.4303 data_time: 0.0136 memory: 17087 grad_norm: 6.9618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8403 loss: 0.8403 2022/08/05 02:29:13 - mmengine - INFO - Epoch(train) [179][1600/1879] lr: 1.0000e-04 eta: 17:25:19 time: 0.4359 data_time: 0.0181 memory: 17087 grad_norm: 7.1637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9685 loss: 0.9685 2022/08/05 02:29:22 - mmengine - INFO - Epoch(train) [179][1620/1879] lr: 1.0000e-04 eta: 17:25:11 time: 0.4289 data_time: 0.0145 memory: 17087 grad_norm: 6.8175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9158 loss: 0.9158 2022/08/05 02:29:30 - mmengine - INFO - Epoch(train) [179][1640/1879] lr: 1.0000e-04 eta: 17:25:02 time: 0.4301 data_time: 0.0182 memory: 17087 grad_norm: 6.5866 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8036 loss: 0.8036 2022/08/05 02:29:39 - mmengine - INFO - Epoch(train) [179][1660/1879] lr: 1.0000e-04 eta: 17:24:53 time: 0.4321 data_time: 0.0137 memory: 17087 grad_norm: 6.6549 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8201 loss: 0.8201 2022/08/05 02:29:48 - mmengine - INFO - Epoch(train) [179][1680/1879] lr: 1.0000e-04 eta: 17:24:45 time: 0.4327 data_time: 0.0173 memory: 17087 grad_norm: 6.6458 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9416 loss: 0.9416 2022/08/05 02:29:56 - mmengine - INFO - Epoch(train) [179][1700/1879] lr: 1.0000e-04 eta: 17:24:36 time: 0.4321 data_time: 0.0136 memory: 17087 grad_norm: 6.8627 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9190 loss: 0.9190 2022/08/05 02:30:05 - mmengine - INFO - Epoch(train) [179][1720/1879] lr: 1.0000e-04 eta: 17:24:27 time: 0.4329 data_time: 0.0188 memory: 17087 grad_norm: 6.6691 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7370 loss: 0.7370 2022/08/05 02:30:14 - mmengine - INFO - Epoch(train) [179][1740/1879] lr: 1.0000e-04 eta: 17:24:19 time: 0.4342 data_time: 0.0142 memory: 17087 grad_norm: 6.7648 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8348 loss: 0.8348 2022/08/05 02:30:22 - mmengine - INFO - Epoch(train) [179][1760/1879] lr: 1.0000e-04 eta: 17:24:10 time: 0.4361 data_time: 0.0171 memory: 17087 grad_norm: 6.7677 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7655 loss: 0.7655 2022/08/05 02:30:31 - mmengine - INFO - Epoch(train) [179][1780/1879] lr: 1.0000e-04 eta: 17:24:02 time: 0.4285 data_time: 0.0145 memory: 17087 grad_norm: 7.0911 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0261 loss: 1.0261 2022/08/05 02:30:40 - mmengine - INFO - Epoch(train) [179][1800/1879] lr: 1.0000e-04 eta: 17:23:53 time: 0.4396 data_time: 0.0157 memory: 17087 grad_norm: 6.9320 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8377 loss: 0.8377 2022/08/05 02:30:49 - mmengine - INFO - Epoch(train) [179][1820/1879] lr: 1.0000e-04 eta: 17:23:44 time: 0.4358 data_time: 0.0160 memory: 17087 grad_norm: 6.6915 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8199 loss: 0.8199 2022/08/05 02:30:57 - mmengine - INFO - Epoch(train) [179][1840/1879] lr: 1.0000e-04 eta: 17:23:36 time: 0.4338 data_time: 0.0174 memory: 17087 grad_norm: 6.7402 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1129 loss: 1.1129 2022/08/05 02:31:06 - mmengine - INFO - Epoch(train) [179][1860/1879] lr: 1.0000e-04 eta: 17:23:27 time: 0.4282 data_time: 0.0138 memory: 17087 grad_norm: 6.5068 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7846 loss: 0.7846 2022/08/05 02:31:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 02:31:14 - mmengine - INFO - Epoch(train) [179][1879/1879] lr: 1.0000e-04 eta: 17:23:27 time: 0.4134 data_time: 0.0147 memory: 17087 grad_norm: 7.1709 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9593 loss: 0.9593 2022/08/05 02:31:25 - mmengine - INFO - Epoch(train) [180][20/1879] lr: 1.0000e-04 eta: 17:23:08 time: 0.5785 data_time: 0.1075 memory: 17087 grad_norm: 6.8646 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8118 loss: 0.8118 2022/08/05 02:31:34 - mmengine - INFO - Epoch(train) [180][40/1879] lr: 1.0000e-04 eta: 17:22:59 time: 0.4401 data_time: 0.0180 memory: 17087 grad_norm: 6.8731 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8341 loss: 0.8341 2022/08/05 02:31:43 - mmengine - INFO - Epoch(train) [180][60/1879] lr: 1.0000e-04 eta: 17:22:51 time: 0.4309 data_time: 0.0133 memory: 17087 grad_norm: 6.6553 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8466 loss: 0.8466 2022/08/05 02:31:51 - mmengine - INFO - Epoch(train) [180][80/1879] lr: 1.0000e-04 eta: 17:22:42 time: 0.4309 data_time: 0.0163 memory: 17087 grad_norm: 7.0504 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9830 loss: 0.9830 2022/08/05 02:32:00 - mmengine - INFO - Epoch(train) [180][100/1879] lr: 1.0000e-04 eta: 17:22:33 time: 0.4530 data_time: 0.0149 memory: 17087 grad_norm: 6.7620 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8641 loss: 0.8641 2022/08/05 02:32:09 - mmengine - INFO - Epoch(train) [180][120/1879] lr: 1.0000e-04 eta: 17:22:25 time: 0.4325 data_time: 0.0213 memory: 17087 grad_norm: 6.6522 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8419 loss: 0.8419 2022/08/05 02:32:18 - mmengine - INFO - Epoch(train) [180][140/1879] lr: 1.0000e-04 eta: 17:22:16 time: 0.4312 data_time: 0.0155 memory: 17087 grad_norm: 6.7427 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9272 loss: 0.9272 2022/08/05 02:32:26 - mmengine - INFO - Epoch(train) [180][160/1879] lr: 1.0000e-04 eta: 17:22:07 time: 0.4322 data_time: 0.0156 memory: 17087 grad_norm: 6.6640 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7953 loss: 0.7953 2022/08/05 02:32:36 - mmengine - INFO - Epoch(train) [180][180/1879] lr: 1.0000e-04 eta: 17:21:59 time: 0.4669 data_time: 0.0161 memory: 17087 grad_norm: 6.7704 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8748 loss: 0.8748 2022/08/05 02:32:45 - mmengine - INFO - Epoch(train) [180][200/1879] lr: 1.0000e-04 eta: 17:21:50 time: 0.4359 data_time: 0.0204 memory: 17087 grad_norm: 6.6203 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7611 loss: 0.7611 2022/08/05 02:32:53 - mmengine - INFO - Epoch(train) [180][220/1879] lr: 1.0000e-04 eta: 17:21:42 time: 0.4352 data_time: 0.0145 memory: 17087 grad_norm: 6.8758 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9936 loss: 0.9936 2022/08/05 02:33:02 - mmengine - INFO - Epoch(train) [180][240/1879] lr: 1.0000e-04 eta: 17:21:33 time: 0.4293 data_time: 0.0163 memory: 17087 grad_norm: 6.9090 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9024 loss: 0.9024 2022/08/05 02:33:10 - mmengine - INFO - Epoch(train) [180][260/1879] lr: 1.0000e-04 eta: 17:21:24 time: 0.4298 data_time: 0.0150 memory: 17087 grad_norm: 6.7457 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8967 loss: 0.8967 2022/08/05 02:33:19 - mmengine - INFO - Epoch(train) [180][280/1879] lr: 1.0000e-04 eta: 17:21:16 time: 0.4310 data_time: 0.0167 memory: 17087 grad_norm: 6.6730 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8578 loss: 0.8578 2022/08/05 02:33:28 - mmengine - INFO - Epoch(train) [180][300/1879] lr: 1.0000e-04 eta: 17:21:07 time: 0.4278 data_time: 0.0141 memory: 17087 grad_norm: 6.9030 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8769 loss: 0.8769 2022/08/05 02:33:37 - mmengine - INFO - Epoch(train) [180][320/1879] lr: 1.0000e-04 eta: 17:20:59 time: 0.4621 data_time: 0.0175 memory: 17087 grad_norm: 6.7197 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9418 loss: 0.9418 2022/08/05 02:33:46 - mmengine - INFO - Epoch(train) [180][340/1879] lr: 1.0000e-04 eta: 17:20:50 time: 0.4285 data_time: 0.0151 memory: 17087 grad_norm: 6.9061 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8735 loss: 0.8735 2022/08/05 02:33:54 - mmengine - INFO - Epoch(train) [180][360/1879] lr: 1.0000e-04 eta: 17:20:41 time: 0.4412 data_time: 0.0214 memory: 17087 grad_norm: 6.6636 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6980 loss: 0.6980 2022/08/05 02:34:03 - mmengine - INFO - Epoch(train) [180][380/1879] lr: 1.0000e-04 eta: 17:20:33 time: 0.4297 data_time: 0.0161 memory: 17087 grad_norm: 6.8417 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8550 loss: 0.8550 2022/08/05 02:34:12 - mmengine - INFO - Epoch(train) [180][400/1879] lr: 1.0000e-04 eta: 17:20:24 time: 0.4301 data_time: 0.0173 memory: 17087 grad_norm: 6.7829 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7758 loss: 0.7758 2022/08/05 02:34:21 - mmengine - INFO - Epoch(train) [180][420/1879] lr: 1.0000e-04 eta: 17:20:16 time: 0.4474 data_time: 0.0145 memory: 17087 grad_norm: 7.1704 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9246 loss: 0.9246 2022/08/05 02:34:29 - mmengine - INFO - Epoch(train) [180][440/1879] lr: 1.0000e-04 eta: 17:20:07 time: 0.4292 data_time: 0.0185 memory: 17087 grad_norm: 6.9708 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9563 loss: 0.9563 2022/08/05 02:34:38 - mmengine - INFO - Epoch(train) [180][460/1879] lr: 1.0000e-04 eta: 17:19:58 time: 0.4600 data_time: 0.0186 memory: 17087 grad_norm: 6.9984 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8641 loss: 0.8641 2022/08/05 02:34:47 - mmengine - INFO - Epoch(train) [180][480/1879] lr: 1.0000e-04 eta: 17:19:50 time: 0.4318 data_time: 0.0163 memory: 17087 grad_norm: 6.7291 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8423 loss: 0.8423 2022/08/05 02:34:56 - mmengine - INFO - Epoch(train) [180][500/1879] lr: 1.0000e-04 eta: 17:19:41 time: 0.4602 data_time: 0.0194 memory: 17087 grad_norm: 6.8131 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8056 loss: 0.8056 2022/08/05 02:35:05 - mmengine - INFO - Epoch(train) [180][520/1879] lr: 1.0000e-04 eta: 17:19:33 time: 0.4335 data_time: 0.0183 memory: 17087 grad_norm: 6.8617 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8263 loss: 0.8263 2022/08/05 02:35:14 - mmengine - INFO - Epoch(train) [180][540/1879] lr: 1.0000e-04 eta: 17:19:24 time: 0.4594 data_time: 0.0223 memory: 17087 grad_norm: 6.3140 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6518 loss: 0.6518 2022/08/05 02:35:23 - mmengine - INFO - Epoch(train) [180][560/1879] lr: 1.0000e-04 eta: 17:19:16 time: 0.4315 data_time: 0.0161 memory: 17087 grad_norm: 6.5236 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9920 loss: 0.9920 2022/08/05 02:35:32 - mmengine - INFO - Epoch(train) [180][580/1879] lr: 1.0000e-04 eta: 17:19:07 time: 0.4334 data_time: 0.0183 memory: 17087 grad_norm: 7.0064 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9221 loss: 0.9221 2022/08/05 02:35:41 - mmengine - INFO - Epoch(train) [180][600/1879] lr: 1.0000e-04 eta: 17:18:59 time: 0.4556 data_time: 0.0181 memory: 17087 grad_norm: 6.8109 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7665 loss: 0.7665 2022/08/05 02:35:49 - mmengine - INFO - Epoch(train) [180][620/1879] lr: 1.0000e-04 eta: 17:18:50 time: 0.4285 data_time: 0.0143 memory: 17087 grad_norm: 6.8630 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8795 loss: 0.8795 2022/08/05 02:35:58 - mmengine - INFO - Epoch(train) [180][640/1879] lr: 1.0000e-04 eta: 17:18:41 time: 0.4602 data_time: 0.0219 memory: 17087 grad_norm: 7.0417 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9388 loss: 0.9388 2022/08/05 02:36:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 02:36:07 - mmengine - INFO - Epoch(train) [180][660/1879] lr: 1.0000e-04 eta: 17:18:33 time: 0.4291 data_time: 0.0144 memory: 17087 grad_norm: 6.6335 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8020 loss: 0.8020 2022/08/05 02:36:16 - mmengine - INFO - Epoch(train) [180][680/1879] lr: 1.0000e-04 eta: 17:18:24 time: 0.4631 data_time: 0.0217 memory: 17087 grad_norm: 6.7291 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8735 loss: 0.8735 2022/08/05 02:36:25 - mmengine - INFO - Epoch(train) [180][700/1879] lr: 1.0000e-04 eta: 17:18:16 time: 0.4362 data_time: 0.0207 memory: 17087 grad_norm: 6.8437 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9115 loss: 0.9115 2022/08/05 02:36:34 - mmengine - INFO - Epoch(train) [180][720/1879] lr: 1.0000e-04 eta: 17:18:07 time: 0.4562 data_time: 0.0174 memory: 17087 grad_norm: 6.7611 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7962 loss: 0.7962 2022/08/05 02:36:43 - mmengine - INFO - Epoch(train) [180][740/1879] lr: 1.0000e-04 eta: 17:17:59 time: 0.4388 data_time: 0.0162 memory: 17087 grad_norm: 6.8562 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7727 loss: 0.7727 2022/08/05 02:36:52 - mmengine - INFO - Epoch(train) [180][760/1879] lr: 1.0000e-04 eta: 17:17:50 time: 0.4313 data_time: 0.0163 memory: 17087 grad_norm: 6.8791 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8520 loss: 0.8520 2022/08/05 02:37:00 - mmengine - INFO - Epoch(train) [180][780/1879] lr: 1.0000e-04 eta: 17:17:41 time: 0.4293 data_time: 0.0131 memory: 17087 grad_norm: 6.6346 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9730 loss: 0.9730 2022/08/05 02:37:09 - mmengine - INFO - Epoch(train) [180][800/1879] lr: 1.0000e-04 eta: 17:17:33 time: 0.4492 data_time: 0.0172 memory: 17087 grad_norm: 6.8766 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8792 loss: 0.8792 2022/08/05 02:37:18 - mmengine - INFO - Epoch(train) [180][820/1879] lr: 1.0000e-04 eta: 17:17:24 time: 0.4301 data_time: 0.0157 memory: 17087 grad_norm: 6.6957 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7734 loss: 0.7734 2022/08/05 02:37:27 - mmengine - INFO - Epoch(train) [180][840/1879] lr: 1.0000e-04 eta: 17:17:15 time: 0.4322 data_time: 0.0170 memory: 17087 grad_norm: 7.0372 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8280 loss: 0.8280 2022/08/05 02:37:36 - mmengine - INFO - Epoch(train) [180][860/1879] lr: 1.0000e-04 eta: 17:17:07 time: 0.4487 data_time: 0.0149 memory: 17087 grad_norm: 6.6472 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6721 loss: 0.6721 2022/08/05 02:37:44 - mmengine - INFO - Epoch(train) [180][880/1879] lr: 1.0000e-04 eta: 17:16:58 time: 0.4298 data_time: 0.0173 memory: 17087 grad_norm: 6.8623 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9502 loss: 0.9502 2022/08/05 02:37:53 - mmengine - INFO - Epoch(train) [180][900/1879] lr: 1.0000e-04 eta: 17:16:50 time: 0.4351 data_time: 0.0200 memory: 17087 grad_norm: 6.8867 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7930 loss: 0.7930 2022/08/05 02:38:02 - mmengine - INFO - Epoch(train) [180][920/1879] lr: 1.0000e-04 eta: 17:16:41 time: 0.4287 data_time: 0.0163 memory: 17087 grad_norm: 6.7211 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8003 loss: 0.8003 2022/08/05 02:38:10 - mmengine - INFO - Epoch(train) [180][940/1879] lr: 1.0000e-04 eta: 17:16:32 time: 0.4287 data_time: 0.0137 memory: 17087 grad_norm: 6.9532 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7305 loss: 0.7305 2022/08/05 02:38:19 - mmengine - INFO - Epoch(train) [180][960/1879] lr: 1.0000e-04 eta: 17:16:24 time: 0.4312 data_time: 0.0178 memory: 17087 grad_norm: 6.8848 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7533 loss: 0.7533 2022/08/05 02:38:27 - mmengine - INFO - Epoch(train) [180][980/1879] lr: 1.0000e-04 eta: 17:16:15 time: 0.4331 data_time: 0.0146 memory: 17087 grad_norm: 6.9500 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7941 loss: 0.7941 2022/08/05 02:38:36 - mmengine - INFO - Epoch(train) [180][1000/1879] lr: 1.0000e-04 eta: 17:16:06 time: 0.4426 data_time: 0.0165 memory: 17087 grad_norm: 6.6454 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7743 loss: 0.7743 2022/08/05 02:38:45 - mmengine - INFO - Epoch(train) [180][1020/1879] lr: 1.0000e-04 eta: 17:15:58 time: 0.4474 data_time: 0.0145 memory: 17087 grad_norm: 6.6858 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8169 loss: 0.8169 2022/08/05 02:38:54 - mmengine - INFO - Epoch(train) [180][1040/1879] lr: 1.0000e-04 eta: 17:15:49 time: 0.4312 data_time: 0.0161 memory: 17087 grad_norm: 6.4457 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9570 loss: 0.9570 2022/08/05 02:39:03 - mmengine - INFO - Epoch(train) [180][1060/1879] lr: 1.0000e-04 eta: 17:15:41 time: 0.4293 data_time: 0.0152 memory: 17087 grad_norm: 6.9924 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7995 loss: 0.7995 2022/08/05 02:39:11 - mmengine - INFO - Epoch(train) [180][1080/1879] lr: 1.0000e-04 eta: 17:15:32 time: 0.4358 data_time: 0.0182 memory: 17087 grad_norm: 6.6168 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7150 loss: 0.7150 2022/08/05 02:39:20 - mmengine - INFO - Epoch(train) [180][1100/1879] lr: 1.0000e-04 eta: 17:15:23 time: 0.4310 data_time: 0.0154 memory: 17087 grad_norm: 6.6984 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8262 loss: 0.8262 2022/08/05 02:39:29 - mmengine - INFO - Epoch(train) [180][1120/1879] lr: 1.0000e-04 eta: 17:15:15 time: 0.4532 data_time: 0.0170 memory: 17087 grad_norm: 6.8688 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8006 loss: 0.8006 2022/08/05 02:39:38 - mmengine - INFO - Epoch(train) [180][1140/1879] lr: 1.0000e-04 eta: 17:15:06 time: 0.4346 data_time: 0.0176 memory: 17087 grad_norm: 6.7448 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8550 loss: 0.8550 2022/08/05 02:39:46 - mmengine - INFO - Epoch(train) [180][1160/1879] lr: 1.0000e-04 eta: 17:14:57 time: 0.4325 data_time: 0.0154 memory: 17087 grad_norm: 6.8098 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9186 loss: 0.9186 2022/08/05 02:39:55 - mmengine - INFO - Epoch(train) [180][1180/1879] lr: 1.0000e-04 eta: 17:14:49 time: 0.4364 data_time: 0.0146 memory: 17087 grad_norm: 6.8661 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9431 loss: 0.9431 2022/08/05 02:40:04 - mmengine - INFO - Epoch(train) [180][1200/1879] lr: 1.0000e-04 eta: 17:14:40 time: 0.4468 data_time: 0.0161 memory: 17087 grad_norm: 6.7711 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7157 loss: 0.7157 2022/08/05 02:40:13 - mmengine - INFO - Epoch(train) [180][1220/1879] lr: 1.0000e-04 eta: 17:14:32 time: 0.4282 data_time: 0.0144 memory: 17087 grad_norm: 6.7099 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8592 loss: 0.8592 2022/08/05 02:40:21 - mmengine - INFO - Epoch(train) [180][1240/1879] lr: 1.0000e-04 eta: 17:14:23 time: 0.4363 data_time: 0.0165 memory: 17087 grad_norm: 6.8425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7640 loss: 0.7640 2022/08/05 02:40:30 - mmengine - INFO - Epoch(train) [180][1260/1879] lr: 1.0000e-04 eta: 17:14:14 time: 0.4285 data_time: 0.0151 memory: 17087 grad_norm: 7.0214 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9662 loss: 0.9662 2022/08/05 02:40:39 - mmengine - INFO - Epoch(train) [180][1280/1879] lr: 1.0000e-04 eta: 17:14:06 time: 0.4317 data_time: 0.0177 memory: 17087 grad_norm: 6.8869 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8251 loss: 0.8251 2022/08/05 02:40:47 - mmengine - INFO - Epoch(train) [180][1300/1879] lr: 1.0000e-04 eta: 17:13:57 time: 0.4283 data_time: 0.0153 memory: 17087 grad_norm: 6.7178 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8278 loss: 0.8278 2022/08/05 02:40:56 - mmengine - INFO - Epoch(train) [180][1320/1879] lr: 1.0000e-04 eta: 17:13:48 time: 0.4342 data_time: 0.0189 memory: 17087 grad_norm: 6.6286 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8302 loss: 0.8302 2022/08/05 02:41:05 - mmengine - INFO - Epoch(train) [180][1340/1879] lr: 1.0000e-04 eta: 17:13:40 time: 0.4283 data_time: 0.0141 memory: 17087 grad_norm: 6.7985 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9124 loss: 0.9124 2022/08/05 02:41:14 - mmengine - INFO - Epoch(train) [180][1360/1879] lr: 1.0000e-04 eta: 17:13:31 time: 0.4554 data_time: 0.0171 memory: 17087 grad_norm: 6.9808 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9529 loss: 0.9529 2022/08/05 02:41:22 - mmengine - INFO - Epoch(train) [180][1380/1879] lr: 1.0000e-04 eta: 17:13:22 time: 0.4280 data_time: 0.0142 memory: 17087 grad_norm: 6.7223 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8127 loss: 0.8127 2022/08/05 02:41:31 - mmengine - INFO - Epoch(train) [180][1400/1879] lr: 1.0000e-04 eta: 17:13:14 time: 0.4365 data_time: 0.0202 memory: 17087 grad_norm: 6.7467 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6612 loss: 0.6612 2022/08/05 02:41:40 - mmengine - INFO - Epoch(train) [180][1420/1879] lr: 1.0000e-04 eta: 17:13:05 time: 0.4316 data_time: 0.0145 memory: 17087 grad_norm: 6.8291 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9424 loss: 0.9424 2022/08/05 02:41:48 - mmengine - INFO - Epoch(train) [180][1440/1879] lr: 1.0000e-04 eta: 17:12:56 time: 0.4302 data_time: 0.0174 memory: 17087 grad_norm: 6.6934 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7552 loss: 0.7552 2022/08/05 02:41:57 - mmengine - INFO - Epoch(train) [180][1460/1879] lr: 1.0000e-04 eta: 17:12:48 time: 0.4468 data_time: 0.0147 memory: 17087 grad_norm: 6.7080 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8261 loss: 0.8261 2022/08/05 02:42:06 - mmengine - INFO - Epoch(train) [180][1480/1879] lr: 1.0000e-04 eta: 17:12:39 time: 0.4378 data_time: 0.0168 memory: 17087 grad_norm: 6.8000 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6441 loss: 0.6441 2022/08/05 02:42:15 - mmengine - INFO - Epoch(train) [180][1500/1879] lr: 1.0000e-04 eta: 17:12:31 time: 0.4476 data_time: 0.0165 memory: 17087 grad_norm: 6.6922 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8432 loss: 0.8432 2022/08/05 02:42:24 - mmengine - INFO - Epoch(train) [180][1520/1879] lr: 1.0000e-04 eta: 17:12:22 time: 0.4357 data_time: 0.0207 memory: 17087 grad_norm: 6.7868 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9465 loss: 0.9465 2022/08/05 02:42:32 - mmengine - INFO - Epoch(train) [180][1540/1879] lr: 1.0000e-04 eta: 17:12:14 time: 0.4299 data_time: 0.0161 memory: 17087 grad_norm: 6.9191 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8881 loss: 0.8881 2022/08/05 02:42:41 - mmengine - INFO - Epoch(train) [180][1560/1879] lr: 1.0000e-04 eta: 17:12:05 time: 0.4350 data_time: 0.0167 memory: 17087 grad_norm: 6.6504 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8678 loss: 0.8678 2022/08/05 02:42:50 - mmengine - INFO - Epoch(train) [180][1580/1879] lr: 1.0000e-04 eta: 17:11:56 time: 0.4287 data_time: 0.0148 memory: 17087 grad_norm: 6.9733 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0207 loss: 1.0207 2022/08/05 02:42:59 - mmengine - INFO - Epoch(train) [180][1600/1879] lr: 1.0000e-04 eta: 17:11:48 time: 0.4558 data_time: 0.0177 memory: 17087 grad_norm: 6.6714 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7424 loss: 0.7424 2022/08/05 02:43:07 - mmengine - INFO - Epoch(train) [180][1620/1879] lr: 1.0000e-04 eta: 17:11:39 time: 0.4291 data_time: 0.0144 memory: 17087 grad_norm: 6.7211 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8993 loss: 0.8993 2022/08/05 02:43:16 - mmengine - INFO - Epoch(train) [180][1640/1879] lr: 1.0000e-04 eta: 17:11:30 time: 0.4334 data_time: 0.0169 memory: 17087 grad_norm: 6.8639 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8053 loss: 0.8053 2022/08/05 02:43:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 02:43:25 - mmengine - INFO - Epoch(train) [180][1660/1879] lr: 1.0000e-04 eta: 17:11:22 time: 0.4286 data_time: 0.0140 memory: 17087 grad_norm: 6.7312 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7449 loss: 0.7449 2022/08/05 02:43:33 - mmengine - INFO - Epoch(train) [180][1680/1879] lr: 1.0000e-04 eta: 17:11:13 time: 0.4293 data_time: 0.0158 memory: 17087 grad_norm: 6.9449 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8001 loss: 0.8001 2022/08/05 02:43:42 - mmengine - INFO - Epoch(train) [180][1700/1879] lr: 1.0000e-04 eta: 17:11:04 time: 0.4291 data_time: 0.0143 memory: 17087 grad_norm: 6.8578 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9827 loss: 0.9827 2022/08/05 02:43:51 - mmengine - INFO - Epoch(train) [180][1720/1879] lr: 1.0000e-04 eta: 17:10:56 time: 0.4327 data_time: 0.0165 memory: 17087 grad_norm: 7.0727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8709 loss: 0.8709 2022/08/05 02:43:59 - mmengine - INFO - Epoch(train) [180][1740/1879] lr: 1.0000e-04 eta: 17:10:47 time: 0.4305 data_time: 0.0152 memory: 17087 grad_norm: 7.0075 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8710 loss: 0.8710 2022/08/05 02:44:08 - mmengine - INFO - Epoch(train) [180][1760/1879] lr: 1.0000e-04 eta: 17:10:38 time: 0.4364 data_time: 0.0173 memory: 17087 grad_norm: 7.0927 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8754 loss: 0.8754 2022/08/05 02:44:16 - mmengine - INFO - Epoch(train) [180][1780/1879] lr: 1.0000e-04 eta: 17:10:30 time: 0.4294 data_time: 0.0147 memory: 17087 grad_norm: 6.8946 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8315 loss: 0.8315 2022/08/05 02:44:25 - mmengine - INFO - Epoch(train) [180][1800/1879] lr: 1.0000e-04 eta: 17:10:21 time: 0.4382 data_time: 0.0180 memory: 17087 grad_norm: 7.1288 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7381 loss: 0.7381 2022/08/05 02:44:34 - mmengine - INFO - Epoch(train) [180][1820/1879] lr: 1.0000e-04 eta: 17:10:12 time: 0.4294 data_time: 0.0143 memory: 17087 grad_norm: 6.6589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8604 loss: 0.8604 2022/08/05 02:44:42 - mmengine - INFO - Epoch(train) [180][1840/1879] lr: 1.0000e-04 eta: 17:10:04 time: 0.4286 data_time: 0.0160 memory: 17087 grad_norm: 7.0329 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9366 loss: 0.9366 2022/08/05 02:44:51 - mmengine - INFO - Epoch(train) [180][1860/1879] lr: 1.0000e-04 eta: 17:09:55 time: 0.4315 data_time: 0.0160 memory: 17087 grad_norm: 6.9167 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8998 loss: 0.8998 2022/08/05 02:44:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 02:44:59 - mmengine - INFO - Epoch(train) [180][1879/1879] lr: 1.0000e-04 eta: 17:09:55 time: 0.4104 data_time: 0.0158 memory: 17087 grad_norm: 7.0330 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9531 loss: 0.9531 2022/08/05 02:44:59 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/08/05 02:45:11 - mmengine - INFO - Epoch(val) [180][20/155] eta: 0:00:50 time: 0.3753 data_time: 0.2055 memory: 2821 2022/08/05 02:45:16 - mmengine - INFO - Epoch(val) [180][40/155] eta: 0:00:28 time: 0.2449 data_time: 0.0686 memory: 2821 2022/08/05 02:45:22 - mmengine - INFO - Epoch(val) [180][60/155] eta: 0:00:30 time: 0.3210 data_time: 0.1542 memory: 2821 2022/08/05 02:45:28 - mmengine - INFO - Epoch(val) [180][80/155] eta: 0:00:20 time: 0.2677 data_time: 0.1012 memory: 2821 2022/08/05 02:45:34 - mmengine - INFO - Epoch(val) [180][100/155] eta: 0:00:17 time: 0.3229 data_time: 0.1576 memory: 2821 2022/08/05 02:45:39 - mmengine - INFO - Epoch(val) [180][120/155] eta: 0:00:08 time: 0.2542 data_time: 0.0889 memory: 2821 2022/08/05 02:45:45 - mmengine - INFO - Epoch(val) [180][140/155] eta: 0:00:03 time: 0.2623 data_time: 0.1011 memory: 2821 2022/08/05 02:45:49 - mmengine - INFO - Epoch(val) [180][155/155] acc/top1: 0.6969 acc/top5: 0.8820 acc/mean1: 0.6968 2022/08/05 02:46:01 - mmengine - INFO - Epoch(train) [181][20/1879] lr: 1.0000e-04 eta: 17:09:36 time: 0.5663 data_time: 0.1052 memory: 17087 grad_norm: 6.6488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8104 loss: 0.8104 2022/08/05 02:46:09 - mmengine - INFO - Epoch(train) [181][40/1879] lr: 1.0000e-04 eta: 17:09:27 time: 0.4411 data_time: 0.0232 memory: 17087 grad_norm: 6.8429 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8362 loss: 0.8362 2022/08/05 02:46:18 - mmengine - INFO - Epoch(train) [181][60/1879] lr: 1.0000e-04 eta: 17:09:19 time: 0.4411 data_time: 0.0165 memory: 17087 grad_norm: 6.8978 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7381 loss: 0.7381 2022/08/05 02:46:27 - mmengine - INFO - Epoch(train) [181][80/1879] lr: 1.0000e-04 eta: 17:09:10 time: 0.4332 data_time: 0.0162 memory: 17087 grad_norm: 6.7200 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8266 loss: 0.8266 2022/08/05 02:46:36 - mmengine - INFO - Epoch(train) [181][100/1879] lr: 1.0000e-04 eta: 17:09:01 time: 0.4379 data_time: 0.0158 memory: 17087 grad_norm: 6.7771 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8200 loss: 0.8200 2022/08/05 02:46:45 - mmengine - INFO - Epoch(train) [181][120/1879] lr: 1.0000e-04 eta: 17:08:53 time: 0.4464 data_time: 0.0174 memory: 17087 grad_norm: 6.8205 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9420 loss: 0.9420 2022/08/05 02:46:53 - mmengine - INFO - Epoch(train) [181][140/1879] lr: 1.0000e-04 eta: 17:08:44 time: 0.4296 data_time: 0.0144 memory: 17087 grad_norm: 6.8465 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7335 loss: 0.7335 2022/08/05 02:47:02 - mmengine - INFO - Epoch(train) [181][160/1879] lr: 1.0000e-04 eta: 17:08:36 time: 0.4552 data_time: 0.0172 memory: 17087 grad_norm: 6.7509 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9053 loss: 0.9053 2022/08/05 02:47:11 - mmengine - INFO - Epoch(train) [181][180/1879] lr: 1.0000e-04 eta: 17:08:27 time: 0.4311 data_time: 0.0145 memory: 17087 grad_norm: 6.8604 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8186 loss: 0.8186 2022/08/05 02:47:20 - mmengine - INFO - Epoch(train) [181][200/1879] lr: 1.0000e-04 eta: 17:08:18 time: 0.4308 data_time: 0.0169 memory: 17087 grad_norm: 6.8144 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8698 loss: 0.8698 2022/08/05 02:47:29 - mmengine - INFO - Epoch(train) [181][220/1879] lr: 1.0000e-04 eta: 17:08:10 time: 0.4430 data_time: 0.0137 memory: 17087 grad_norm: 6.8183 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8194 loss: 0.8194 2022/08/05 02:47:37 - mmengine - INFO - Epoch(train) [181][240/1879] lr: 1.0000e-04 eta: 17:08:01 time: 0.4369 data_time: 0.0221 memory: 17087 grad_norm: 6.6450 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6070 loss: 0.6070 2022/08/05 02:47:46 - mmengine - INFO - Epoch(train) [181][260/1879] lr: 1.0000e-04 eta: 17:07:53 time: 0.4452 data_time: 0.0135 memory: 17087 grad_norm: 6.8120 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8660 loss: 0.8660 2022/08/05 02:47:55 - mmengine - INFO - Epoch(train) [181][280/1879] lr: 1.0000e-04 eta: 17:07:44 time: 0.4534 data_time: 0.0168 memory: 17087 grad_norm: 7.0050 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8866 loss: 0.8866 2022/08/05 02:48:04 - mmengine - INFO - Epoch(train) [181][300/1879] lr: 1.0000e-04 eta: 17:07:36 time: 0.4272 data_time: 0.0140 memory: 17087 grad_norm: 6.4946 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8587 loss: 0.8587 2022/08/05 02:48:13 - mmengine - INFO - Epoch(train) [181][320/1879] lr: 1.0000e-04 eta: 17:07:27 time: 0.4306 data_time: 0.0166 memory: 17087 grad_norm: 6.8755 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8167 loss: 0.8167 2022/08/05 02:48:21 - mmengine - INFO - Epoch(train) [181][340/1879] lr: 1.0000e-04 eta: 17:07:18 time: 0.4327 data_time: 0.0141 memory: 17087 grad_norm: 6.9652 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9381 loss: 0.9381 2022/08/05 02:48:30 - mmengine - INFO - Epoch(train) [181][360/1879] lr: 1.0000e-04 eta: 17:07:10 time: 0.4353 data_time: 0.0166 memory: 17087 grad_norm: 6.9308 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0428 loss: 1.0428 2022/08/05 02:48:39 - mmengine - INFO - Epoch(train) [181][380/1879] lr: 1.0000e-04 eta: 17:07:01 time: 0.4297 data_time: 0.0155 memory: 17087 grad_norm: 6.7386 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7356 loss: 0.7356 2022/08/05 02:48:48 - mmengine - INFO - Epoch(train) [181][400/1879] lr: 1.0000e-04 eta: 17:06:52 time: 0.4629 data_time: 0.0170 memory: 17087 grad_norm: 6.9437 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7700 loss: 0.7700 2022/08/05 02:48:56 - mmengine - INFO - Epoch(train) [181][420/1879] lr: 1.0000e-04 eta: 17:06:44 time: 0.4339 data_time: 0.0205 memory: 17087 grad_norm: 6.7982 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8621 loss: 0.8621 2022/08/05 02:49:05 - mmengine - INFO - Epoch(train) [181][440/1879] lr: 1.0000e-04 eta: 17:06:35 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 6.7224 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8072 loss: 0.8072 2022/08/05 02:49:14 - mmengine - INFO - Epoch(train) [181][460/1879] lr: 1.0000e-04 eta: 17:06:27 time: 0.4317 data_time: 0.0147 memory: 17087 grad_norm: 7.0216 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7935 loss: 0.7935 2022/08/05 02:49:22 - mmengine - INFO - Epoch(train) [181][480/1879] lr: 1.0000e-04 eta: 17:06:18 time: 0.4322 data_time: 0.0175 memory: 17087 grad_norm: 6.6963 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6274 loss: 0.6274 2022/08/05 02:49:31 - mmengine - INFO - Epoch(train) [181][500/1879] lr: 1.0000e-04 eta: 17:06:09 time: 0.4503 data_time: 0.0150 memory: 17087 grad_norm: 6.9655 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7575 loss: 0.7575 2022/08/05 02:49:40 - mmengine - INFO - Epoch(train) [181][520/1879] lr: 1.0000e-04 eta: 17:06:01 time: 0.4373 data_time: 0.0211 memory: 17087 grad_norm: 7.0120 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9255 loss: 0.9255 2022/08/05 02:49:49 - mmengine - INFO - Epoch(train) [181][540/1879] lr: 1.0000e-04 eta: 17:05:52 time: 0.4340 data_time: 0.0159 memory: 17087 grad_norm: 6.8656 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8937 loss: 0.8937 2022/08/05 02:49:58 - mmengine - INFO - Epoch(train) [181][560/1879] lr: 1.0000e-04 eta: 17:05:43 time: 0.4323 data_time: 0.0170 memory: 17087 grad_norm: 6.6809 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9884 loss: 0.9884 2022/08/05 02:50:07 - mmengine - INFO - Epoch(train) [181][580/1879] lr: 1.0000e-04 eta: 17:05:35 time: 0.4490 data_time: 0.0163 memory: 17087 grad_norm: 6.9005 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7782 loss: 0.7782 2022/08/05 02:50:15 - mmengine - INFO - Epoch(train) [181][600/1879] lr: 1.0000e-04 eta: 17:05:26 time: 0.4286 data_time: 0.0161 memory: 17087 grad_norm: 6.8927 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8519 loss: 0.8519 2022/08/05 02:50:24 - mmengine - INFO - Epoch(train) [181][620/1879] lr: 1.0000e-04 eta: 17:05:18 time: 0.4381 data_time: 0.0196 memory: 17087 grad_norm: 6.9603 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7904 loss: 0.7904 2022/08/05 02:50:33 - mmengine - INFO - Epoch(train) [181][640/1879] lr: 1.0000e-04 eta: 17:05:09 time: 0.4540 data_time: 0.0183 memory: 17087 grad_norm: 6.7671 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8901 loss: 0.8901 2022/08/05 02:50:42 - mmengine - INFO - Epoch(train) [181][660/1879] lr: 1.0000e-04 eta: 17:05:00 time: 0.4267 data_time: 0.0137 memory: 17087 grad_norm: 6.9031 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7822 loss: 0.7822 2022/08/05 02:50:51 - mmengine - INFO - Epoch(train) [181][680/1879] lr: 1.0000e-04 eta: 17:04:52 time: 0.4534 data_time: 0.0236 memory: 17087 grad_norm: 6.8850 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8624 loss: 0.8624 2022/08/05 02:50:59 - mmengine - INFO - Epoch(train) [181][700/1879] lr: 1.0000e-04 eta: 17:04:43 time: 0.4319 data_time: 0.0143 memory: 17087 grad_norm: 6.5228 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8153 loss: 0.8153 2022/08/05 02:51:09 - mmengine - INFO - Epoch(train) [181][720/1879] lr: 1.0000e-04 eta: 17:04:35 time: 0.4598 data_time: 0.0185 memory: 17087 grad_norm: 7.1012 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0346 loss: 1.0346 2022/08/05 02:51:17 - mmengine - INFO - Epoch(train) [181][740/1879] lr: 1.0000e-04 eta: 17:04:26 time: 0.4292 data_time: 0.0136 memory: 17087 grad_norm: 6.8616 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7691 loss: 0.7691 2022/08/05 02:51:26 - mmengine - INFO - Epoch(train) [181][760/1879] lr: 1.0000e-04 eta: 17:04:18 time: 0.4400 data_time: 0.0229 memory: 17087 grad_norm: 6.8193 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0661 loss: 1.0661 2022/08/05 02:51:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 02:51:35 - mmengine - INFO - Epoch(train) [181][780/1879] lr: 1.0000e-04 eta: 17:04:09 time: 0.4292 data_time: 0.0141 memory: 17087 grad_norm: 6.8260 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8386 loss: 0.8386 2022/08/05 02:51:43 - mmengine - INFO - Epoch(train) [181][800/1879] lr: 1.0000e-04 eta: 17:04:00 time: 0.4318 data_time: 0.0193 memory: 17087 grad_norm: 6.7003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9388 loss: 0.9388 2022/08/05 02:51:52 - mmengine - INFO - Epoch(train) [181][820/1879] lr: 1.0000e-04 eta: 17:03:52 time: 0.4314 data_time: 0.0155 memory: 17087 grad_norm: 6.8813 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7937 loss: 0.7937 2022/08/05 02:52:01 - mmengine - INFO - Epoch(train) [181][840/1879] lr: 1.0000e-04 eta: 17:03:43 time: 0.4303 data_time: 0.0167 memory: 17087 grad_norm: 6.7339 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9430 loss: 0.9430 2022/08/05 02:52:10 - mmengine - INFO - Epoch(train) [181][860/1879] lr: 1.0000e-04 eta: 17:03:34 time: 0.4554 data_time: 0.0158 memory: 17087 grad_norm: 6.7804 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8065 loss: 0.8065 2022/08/05 02:52:18 - mmengine - INFO - Epoch(train) [181][880/1879] lr: 1.0000e-04 eta: 17:03:26 time: 0.4284 data_time: 0.0152 memory: 17087 grad_norm: 6.4909 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7988 loss: 0.7988 2022/08/05 02:52:27 - mmengine - INFO - Epoch(train) [181][900/1879] lr: 1.0000e-04 eta: 17:03:17 time: 0.4568 data_time: 0.0225 memory: 17087 grad_norm: 6.7547 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8983 loss: 0.8983 2022/08/05 02:52:36 - mmengine - INFO - Epoch(train) [181][920/1879] lr: 1.0000e-04 eta: 17:03:09 time: 0.4306 data_time: 0.0159 memory: 17087 grad_norm: 6.6789 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8374 loss: 0.8374 2022/08/05 02:52:45 - mmengine - INFO - Epoch(train) [181][940/1879] lr: 1.0000e-04 eta: 17:03:00 time: 0.4495 data_time: 0.0229 memory: 17087 grad_norm: 6.7384 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8290 loss: 0.8290 2022/08/05 02:52:54 - mmengine - INFO - Epoch(train) [181][960/1879] lr: 1.0000e-04 eta: 17:02:51 time: 0.4300 data_time: 0.0144 memory: 17087 grad_norm: 6.7602 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8925 loss: 0.8925 2022/08/05 02:53:02 - mmengine - INFO - Epoch(train) [181][980/1879] lr: 1.0000e-04 eta: 17:02:43 time: 0.4289 data_time: 0.0147 memory: 17087 grad_norm: 6.5531 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8810 loss: 0.8810 2022/08/05 02:53:11 - mmengine - INFO - Epoch(train) [181][1000/1879] lr: 1.0000e-04 eta: 17:02:34 time: 0.4589 data_time: 0.0208 memory: 17087 grad_norm: 6.7553 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8700 loss: 0.8700 2022/08/05 02:53:20 - mmengine - INFO - Epoch(train) [181][1020/1879] lr: 1.0000e-04 eta: 17:02:26 time: 0.4310 data_time: 0.0146 memory: 17087 grad_norm: 6.9719 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8954 loss: 0.8954 2022/08/05 02:53:29 - mmengine - INFO - Epoch(train) [181][1040/1879] lr: 1.0000e-04 eta: 17:02:17 time: 0.4388 data_time: 0.0174 memory: 17087 grad_norm: 6.8418 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7280 loss: 0.7280 2022/08/05 02:53:38 - mmengine - INFO - Epoch(train) [181][1060/1879] lr: 1.0000e-04 eta: 17:02:08 time: 0.4315 data_time: 0.0151 memory: 17087 grad_norm: 6.7909 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8303 loss: 0.8303 2022/08/05 02:53:46 - mmengine - INFO - Epoch(train) [181][1080/1879] lr: 1.0000e-04 eta: 17:02:00 time: 0.4331 data_time: 0.0176 memory: 17087 grad_norm: 6.9022 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0411 loss: 1.0411 2022/08/05 02:53:55 - mmengine - INFO - Epoch(train) [181][1100/1879] lr: 1.0000e-04 eta: 17:01:51 time: 0.4290 data_time: 0.0138 memory: 17087 grad_norm: 6.7058 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7448 loss: 0.7448 2022/08/05 02:54:03 - mmengine - INFO - Epoch(train) [181][1120/1879] lr: 1.0000e-04 eta: 17:01:42 time: 0.4320 data_time: 0.0181 memory: 17087 grad_norm: 6.8864 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9630 loss: 0.9630 2022/08/05 02:54:12 - mmengine - INFO - Epoch(train) [181][1140/1879] lr: 1.0000e-04 eta: 17:01:34 time: 0.4359 data_time: 0.0144 memory: 17087 grad_norm: 7.1842 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9073 loss: 0.9073 2022/08/05 02:54:21 - mmengine - INFO - Epoch(train) [181][1160/1879] lr: 1.0000e-04 eta: 17:01:25 time: 0.4368 data_time: 0.0173 memory: 17087 grad_norm: 7.0815 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0365 loss: 1.0365 2022/08/05 02:54:30 - mmengine - INFO - Epoch(train) [181][1180/1879] lr: 1.0000e-04 eta: 17:01:17 time: 0.4513 data_time: 0.0174 memory: 17087 grad_norm: 6.6171 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7731 loss: 0.7731 2022/08/05 02:54:39 - mmengine - INFO - Epoch(train) [181][1200/1879] lr: 1.0000e-04 eta: 17:01:08 time: 0.4301 data_time: 0.0163 memory: 17087 grad_norm: 7.0026 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8779 loss: 0.8779 2022/08/05 02:54:47 - mmengine - INFO - Epoch(train) [181][1220/1879] lr: 1.0000e-04 eta: 17:00:59 time: 0.4419 data_time: 0.0259 memory: 17087 grad_norm: 7.0397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7161 loss: 0.7161 2022/08/05 02:54:56 - mmengine - INFO - Epoch(train) [181][1240/1879] lr: 1.0000e-04 eta: 17:00:51 time: 0.4309 data_time: 0.0187 memory: 17087 grad_norm: 6.8490 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7727 loss: 0.7727 2022/08/05 02:55:05 - mmengine - INFO - Epoch(train) [181][1260/1879] lr: 1.0000e-04 eta: 17:00:42 time: 0.4325 data_time: 0.0151 memory: 17087 grad_norm: 6.6076 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8524 loss: 0.8524 2022/08/05 02:55:13 - mmengine - INFO - Epoch(train) [181][1280/1879] lr: 1.0000e-04 eta: 17:00:33 time: 0.4295 data_time: 0.0164 memory: 17087 grad_norm: 6.7713 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7865 loss: 0.7865 2022/08/05 02:55:22 - mmengine - INFO - Epoch(train) [181][1300/1879] lr: 1.0000e-04 eta: 17:00:25 time: 0.4372 data_time: 0.0168 memory: 17087 grad_norm: 6.8040 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8782 loss: 0.8782 2022/08/05 02:55:31 - mmengine - INFO - Epoch(train) [181][1320/1879] lr: 1.0000e-04 eta: 17:00:16 time: 0.4508 data_time: 0.0158 memory: 17087 grad_norm: 6.4928 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7355 loss: 0.7355 2022/08/05 02:55:40 - mmengine - INFO - Epoch(train) [181][1340/1879] lr: 1.0000e-04 eta: 17:00:08 time: 0.4366 data_time: 0.0180 memory: 17087 grad_norm: 6.6155 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7909 loss: 0.7909 2022/08/05 02:55:49 - mmengine - INFO - Epoch(train) [181][1360/1879] lr: 1.0000e-04 eta: 16:59:59 time: 0.4297 data_time: 0.0159 memory: 17087 grad_norm: 6.7995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8712 loss: 0.8712 2022/08/05 02:55:58 - mmengine - INFO - Epoch(train) [181][1380/1879] lr: 1.0000e-04 eta: 16:59:51 time: 0.4568 data_time: 0.0160 memory: 17087 grad_norm: 6.7536 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8947 loss: 0.8947 2022/08/05 02:56:06 - mmengine - INFO - Epoch(train) [181][1400/1879] lr: 1.0000e-04 eta: 16:59:42 time: 0.4325 data_time: 0.0157 memory: 17087 grad_norm: 6.9920 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9105 loss: 0.9105 2022/08/05 02:56:15 - mmengine - INFO - Epoch(train) [181][1420/1879] lr: 1.0000e-04 eta: 16:59:33 time: 0.4535 data_time: 0.0172 memory: 17087 grad_norm: 7.0127 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6996 loss: 0.6996 2022/08/05 02:56:24 - mmengine - INFO - Epoch(train) [181][1440/1879] lr: 1.0000e-04 eta: 16:59:25 time: 0.4316 data_time: 0.0163 memory: 17087 grad_norm: 6.8001 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8513 loss: 0.8513 2022/08/05 02:56:33 - mmengine - INFO - Epoch(train) [181][1460/1879] lr: 1.0000e-04 eta: 16:59:16 time: 0.4302 data_time: 0.0180 memory: 17087 grad_norm: 6.7662 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7556 loss: 0.7556 2022/08/05 02:56:42 - mmengine - INFO - Epoch(train) [181][1480/1879] lr: 1.0000e-04 eta: 16:59:07 time: 0.4369 data_time: 0.0174 memory: 17087 grad_norm: 7.1438 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8379 loss: 0.8379 2022/08/05 02:56:50 - mmengine - INFO - Epoch(train) [181][1500/1879] lr: 1.0000e-04 eta: 16:58:59 time: 0.4289 data_time: 0.0148 memory: 17087 grad_norm: 6.7259 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7152 loss: 0.7152 2022/08/05 02:56:59 - mmengine - INFO - Epoch(train) [181][1520/1879] lr: 1.0000e-04 eta: 16:58:50 time: 0.4566 data_time: 0.0165 memory: 17087 grad_norm: 6.8982 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8964 loss: 0.8964 2022/08/05 02:57:08 - mmengine - INFO - Epoch(train) [181][1540/1879] lr: 1.0000e-04 eta: 16:58:42 time: 0.4301 data_time: 0.0148 memory: 17087 grad_norm: 7.1233 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8924 loss: 0.8924 2022/08/05 02:57:17 - mmengine - INFO - Epoch(train) [181][1560/1879] lr: 1.0000e-04 eta: 16:58:33 time: 0.4339 data_time: 0.0187 memory: 17087 grad_norm: 6.8283 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8868 loss: 0.8868 2022/08/05 02:57:25 - mmengine - INFO - Epoch(train) [181][1580/1879] lr: 1.0000e-04 eta: 16:58:24 time: 0.4287 data_time: 0.0141 memory: 17087 grad_norm: 6.8125 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9270 loss: 0.9270 2022/08/05 02:57:34 - mmengine - INFO - Epoch(train) [181][1600/1879] lr: 1.0000e-04 eta: 16:58:16 time: 0.4288 data_time: 0.0154 memory: 17087 grad_norm: 6.6891 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8626 loss: 0.8626 2022/08/05 02:57:42 - mmengine - INFO - Epoch(train) [181][1620/1879] lr: 1.0000e-04 eta: 16:58:07 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 6.9370 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8406 loss: 0.8406 2022/08/05 02:57:51 - mmengine - INFO - Epoch(train) [181][1640/1879] lr: 1.0000e-04 eta: 16:57:58 time: 0.4310 data_time: 0.0175 memory: 17087 grad_norm: 6.7759 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8781 loss: 0.8781 2022/08/05 02:58:00 - mmengine - INFO - Epoch(train) [181][1660/1879] lr: 1.0000e-04 eta: 16:57:50 time: 0.4372 data_time: 0.0158 memory: 17087 grad_norm: 6.5140 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7936 loss: 0.7936 2022/08/05 02:58:08 - mmengine - INFO - Epoch(train) [181][1680/1879] lr: 1.0000e-04 eta: 16:57:41 time: 0.4314 data_time: 0.0163 memory: 17087 grad_norm: 7.0000 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9630 loss: 0.9630 2022/08/05 02:58:17 - mmengine - INFO - Epoch(train) [181][1700/1879] lr: 1.0000e-04 eta: 16:57:32 time: 0.4346 data_time: 0.0165 memory: 17087 grad_norm: 6.7550 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8619 loss: 0.8619 2022/08/05 02:58:26 - mmengine - INFO - Epoch(train) [181][1720/1879] lr: 1.0000e-04 eta: 16:57:24 time: 0.4317 data_time: 0.0162 memory: 17087 grad_norm: 6.7419 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7446 loss: 0.7446 2022/08/05 02:58:34 - mmengine - INFO - Epoch(train) [181][1740/1879] lr: 1.0000e-04 eta: 16:57:15 time: 0.4295 data_time: 0.0146 memory: 17087 grad_norm: 6.6490 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8288 loss: 0.8288 2022/08/05 02:58:43 - mmengine - INFO - Epoch(train) [181][1760/1879] lr: 1.0000e-04 eta: 16:57:06 time: 0.4424 data_time: 0.0187 memory: 17087 grad_norm: 6.8056 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9256 loss: 0.9256 2022/08/05 02:58:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 02:58:52 - mmengine - INFO - Epoch(train) [181][1780/1879] lr: 1.0000e-04 eta: 16:56:58 time: 0.4299 data_time: 0.0163 memory: 17087 grad_norm: 6.7825 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7413 loss: 0.7413 2022/08/05 02:59:01 - mmengine - INFO - Epoch(train) [181][1800/1879] lr: 1.0000e-04 eta: 16:56:49 time: 0.4392 data_time: 0.0168 memory: 17087 grad_norm: 6.7860 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8025 loss: 0.8025 2022/08/05 02:59:09 - mmengine - INFO - Epoch(train) [181][1820/1879] lr: 1.0000e-04 eta: 16:56:40 time: 0.4301 data_time: 0.0153 memory: 17087 grad_norm: 6.9215 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8875 loss: 0.8875 2022/08/05 02:59:18 - mmengine - INFO - Epoch(train) [181][1840/1879] lr: 1.0000e-04 eta: 16:56:32 time: 0.4324 data_time: 0.0177 memory: 17087 grad_norm: 6.9289 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0148 loss: 1.0148 2022/08/05 02:59:27 - mmengine - INFO - Epoch(train) [181][1860/1879] lr: 1.0000e-04 eta: 16:56:23 time: 0.4278 data_time: 0.0137 memory: 17087 grad_norm: 6.8750 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7992 loss: 0.7992 2022/08/05 02:59:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 02:59:34 - mmengine - INFO - Epoch(train) [181][1879/1879] lr: 1.0000e-04 eta: 16:56:23 time: 0.4103 data_time: 0.0148 memory: 17087 grad_norm: 6.9900 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8940 loss: 0.8940 2022/08/05 02:59:46 - mmengine - INFO - Epoch(train) [182][20/1879] lr: 1.0000e-04 eta: 16:56:04 time: 0.5583 data_time: 0.1125 memory: 17087 grad_norm: 6.7578 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8669 loss: 0.8669 2022/08/05 02:59:54 - mmengine - INFO - Epoch(train) [182][40/1879] lr: 1.0000e-04 eta: 16:55:55 time: 0.4300 data_time: 0.0155 memory: 17087 grad_norm: 6.5260 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7480 loss: 0.7480 2022/08/05 03:00:03 - mmengine - INFO - Epoch(train) [182][60/1879] lr: 1.0000e-04 eta: 16:55:47 time: 0.4479 data_time: 0.0162 memory: 17087 grad_norm: 6.8981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8131 loss: 0.8131 2022/08/05 03:00:12 - mmengine - INFO - Epoch(train) [182][80/1879] lr: 1.0000e-04 eta: 16:55:38 time: 0.4308 data_time: 0.0169 memory: 17087 grad_norm: 6.7508 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8039 loss: 0.8039 2022/08/05 03:00:20 - mmengine - INFO - Epoch(train) [182][100/1879] lr: 1.0000e-04 eta: 16:55:29 time: 0.4304 data_time: 0.0157 memory: 17087 grad_norm: 6.7270 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7676 loss: 0.7676 2022/08/05 03:00:29 - mmengine - INFO - Epoch(train) [182][120/1879] lr: 1.0000e-04 eta: 16:55:21 time: 0.4389 data_time: 0.0161 memory: 17087 grad_norm: 7.1029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9319 loss: 0.9319 2022/08/05 03:00:39 - mmengine - INFO - Epoch(train) [182][140/1879] lr: 1.0000e-04 eta: 16:55:12 time: 0.4697 data_time: 0.0201 memory: 17087 grad_norm: 6.7737 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7047 loss: 0.7047 2022/08/05 03:00:47 - mmengine - INFO - Epoch(train) [182][160/1879] lr: 1.0000e-04 eta: 16:55:04 time: 0.4318 data_time: 0.0164 memory: 17087 grad_norm: 7.0248 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9166 loss: 0.9166 2022/08/05 03:00:56 - mmengine - INFO - Epoch(train) [182][180/1879] lr: 1.0000e-04 eta: 16:54:55 time: 0.4304 data_time: 0.0151 memory: 17087 grad_norm: 6.6635 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6722 loss: 0.6722 2022/08/05 03:01:05 - mmengine - INFO - Epoch(train) [182][200/1879] lr: 1.0000e-04 eta: 16:54:46 time: 0.4315 data_time: 0.0167 memory: 17087 grad_norm: 6.8980 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7715 loss: 0.7715 2022/08/05 03:01:13 - mmengine - INFO - Epoch(train) [182][220/1879] lr: 1.0000e-04 eta: 16:54:38 time: 0.4387 data_time: 0.0158 memory: 17087 grad_norm: 6.9761 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7188 loss: 0.7188 2022/08/05 03:01:22 - mmengine - INFO - Epoch(train) [182][240/1879] lr: 1.0000e-04 eta: 16:54:29 time: 0.4349 data_time: 0.0181 memory: 17087 grad_norm: 6.8670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8085 loss: 0.8085 2022/08/05 03:01:31 - mmengine - INFO - Epoch(train) [182][260/1879] lr: 1.0000e-04 eta: 16:54:20 time: 0.4282 data_time: 0.0136 memory: 17087 grad_norm: 6.7807 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8503 loss: 0.8503 2022/08/05 03:01:40 - mmengine - INFO - Epoch(train) [182][280/1879] lr: 1.0000e-04 eta: 16:54:12 time: 0.4420 data_time: 0.0204 memory: 17087 grad_norm: 6.7036 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7713 loss: 0.7713 2022/08/05 03:01:49 - mmengine - INFO - Epoch(train) [182][300/1879] lr: 1.0000e-04 eta: 16:54:03 time: 0.4488 data_time: 0.0154 memory: 17087 grad_norm: 6.9271 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7914 loss: 0.7914 2022/08/05 03:01:57 - mmengine - INFO - Epoch(train) [182][320/1879] lr: 1.0000e-04 eta: 16:53:55 time: 0.4363 data_time: 0.0220 memory: 17087 grad_norm: 6.8882 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8899 loss: 0.8899 2022/08/05 03:02:06 - mmengine - INFO - Epoch(train) [182][340/1879] lr: 1.0000e-04 eta: 16:53:46 time: 0.4305 data_time: 0.0174 memory: 17087 grad_norm: 6.8838 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9348 loss: 0.9348 2022/08/05 03:02:15 - mmengine - INFO - Epoch(train) [182][360/1879] lr: 1.0000e-04 eta: 16:53:37 time: 0.4296 data_time: 0.0168 memory: 17087 grad_norm: 6.8996 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8046 loss: 0.8046 2022/08/05 03:02:23 - mmengine - INFO - Epoch(train) [182][380/1879] lr: 1.0000e-04 eta: 16:53:29 time: 0.4382 data_time: 0.0143 memory: 17087 grad_norm: 6.8146 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8336 loss: 0.8336 2022/08/05 03:02:32 - mmengine - INFO - Epoch(train) [182][400/1879] lr: 1.0000e-04 eta: 16:53:20 time: 0.4341 data_time: 0.0207 memory: 17087 grad_norm: 6.6581 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8300 loss: 0.8300 2022/08/05 03:02:41 - mmengine - INFO - Epoch(train) [182][420/1879] lr: 1.0000e-04 eta: 16:53:12 time: 0.4375 data_time: 0.0146 memory: 17087 grad_norm: 6.9755 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8864 loss: 0.8864 2022/08/05 03:02:50 - mmengine - INFO - Epoch(train) [182][440/1879] lr: 1.0000e-04 eta: 16:53:03 time: 0.4348 data_time: 0.0203 memory: 17087 grad_norm: 6.6263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9333 loss: 0.9333 2022/08/05 03:02:58 - mmengine - INFO - Epoch(train) [182][460/1879] lr: 1.0000e-04 eta: 16:52:54 time: 0.4342 data_time: 0.0151 memory: 17087 grad_norm: 6.6482 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9050 loss: 0.9050 2022/08/05 03:03:07 - mmengine - INFO - Epoch(train) [182][480/1879] lr: 1.0000e-04 eta: 16:52:46 time: 0.4329 data_time: 0.0170 memory: 17087 grad_norm: 6.6568 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7836 loss: 0.7836 2022/08/05 03:03:16 - mmengine - INFO - Epoch(train) [182][500/1879] lr: 1.0000e-04 eta: 16:52:37 time: 0.4347 data_time: 0.0140 memory: 17087 grad_norm: 6.8520 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9022 loss: 0.9022 2022/08/05 03:03:24 - mmengine - INFO - Epoch(train) [182][520/1879] lr: 1.0000e-04 eta: 16:52:28 time: 0.4308 data_time: 0.0177 memory: 17087 grad_norm: 6.7450 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8464 loss: 0.8464 2022/08/05 03:03:33 - mmengine - INFO - Epoch(train) [182][540/1879] lr: 1.0000e-04 eta: 16:52:20 time: 0.4327 data_time: 0.0158 memory: 17087 grad_norm: 6.8743 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7833 loss: 0.7833 2022/08/05 03:03:42 - mmengine - INFO - Epoch(train) [182][560/1879] lr: 1.0000e-04 eta: 16:52:11 time: 0.4526 data_time: 0.0159 memory: 17087 grad_norm: 6.8502 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8919 loss: 0.8919 2022/08/05 03:03:51 - mmengine - INFO - Epoch(train) [182][580/1879] lr: 1.0000e-04 eta: 16:52:03 time: 0.4324 data_time: 0.0170 memory: 17087 grad_norm: 7.0439 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7302 loss: 0.7302 2022/08/05 03:04:00 - mmengine - INFO - Epoch(train) [182][600/1879] lr: 1.0000e-04 eta: 16:51:54 time: 0.4431 data_time: 0.0173 memory: 17087 grad_norm: 6.7501 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9259 loss: 0.9259 2022/08/05 03:04:09 - mmengine - INFO - Epoch(train) [182][620/1879] lr: 1.0000e-04 eta: 16:51:45 time: 0.4489 data_time: 0.0165 memory: 17087 grad_norm: 6.9036 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8435 loss: 0.8435 2022/08/05 03:04:17 - mmengine - INFO - Epoch(train) [182][640/1879] lr: 1.0000e-04 eta: 16:51:37 time: 0.4341 data_time: 0.0167 memory: 17087 grad_norm: 6.4892 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6027 loss: 0.6027 2022/08/05 03:04:26 - mmengine - INFO - Epoch(train) [182][660/1879] lr: 1.0000e-04 eta: 16:51:28 time: 0.4484 data_time: 0.0165 memory: 17087 grad_norm: 6.8534 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8063 loss: 0.8063 2022/08/05 03:04:35 - mmengine - INFO - Epoch(train) [182][680/1879] lr: 1.0000e-04 eta: 16:51:20 time: 0.4304 data_time: 0.0162 memory: 17087 grad_norm: 6.6962 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8752 loss: 0.8752 2022/08/05 03:04:44 - mmengine - INFO - Epoch(train) [182][700/1879] lr: 1.0000e-04 eta: 16:51:11 time: 0.4315 data_time: 0.0164 memory: 17087 grad_norm: 6.8953 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8139 loss: 0.8139 2022/08/05 03:04:52 - mmengine - INFO - Epoch(train) [182][720/1879] lr: 1.0000e-04 eta: 16:51:02 time: 0.4308 data_time: 0.0166 memory: 17087 grad_norm: 6.9036 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7151 loss: 0.7151 2022/08/05 03:05:02 - mmengine - INFO - Epoch(train) [182][740/1879] lr: 1.0000e-04 eta: 16:50:54 time: 0.4685 data_time: 0.0157 memory: 17087 grad_norm: 7.0193 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8708 loss: 0.8708 2022/08/05 03:05:10 - mmengine - INFO - Epoch(train) [182][760/1879] lr: 1.0000e-04 eta: 16:50:45 time: 0.4330 data_time: 0.0198 memory: 17087 grad_norm: 6.9862 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9299 loss: 0.9299 2022/08/05 03:05:19 - mmengine - INFO - Epoch(train) [182][780/1879] lr: 1.0000e-04 eta: 16:50:37 time: 0.4320 data_time: 0.0153 memory: 17087 grad_norm: 6.9024 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8387 loss: 0.8387 2022/08/05 03:05:27 - mmengine - INFO - Epoch(train) [182][800/1879] lr: 1.0000e-04 eta: 16:50:28 time: 0.4276 data_time: 0.0159 memory: 17087 grad_norm: 6.9833 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8753 loss: 0.8753 2022/08/05 03:05:37 - mmengine - INFO - Epoch(train) [182][820/1879] lr: 1.0000e-04 eta: 16:50:19 time: 0.4624 data_time: 0.0157 memory: 17087 grad_norm: 6.6649 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8629 loss: 0.8629 2022/08/05 03:05:45 - mmengine - INFO - Epoch(train) [182][840/1879] lr: 1.0000e-04 eta: 16:50:11 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 7.0056 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9320 loss: 0.9320 2022/08/05 03:05:54 - mmengine - INFO - Epoch(train) [182][860/1879] lr: 1.0000e-04 eta: 16:50:02 time: 0.4288 data_time: 0.0140 memory: 17087 grad_norm: 6.3892 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7927 loss: 0.7927 2022/08/05 03:06:03 - mmengine - INFO - Epoch(train) [182][880/1879] lr: 1.0000e-04 eta: 16:49:54 time: 0.4379 data_time: 0.0163 memory: 17087 grad_norm: 6.9034 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7638 loss: 0.7638 2022/08/05 03:06:11 - mmengine - INFO - Epoch(train) [182][900/1879] lr: 1.0000e-04 eta: 16:49:45 time: 0.4342 data_time: 0.0169 memory: 17087 grad_norm: 6.8451 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9424 loss: 0.9424 2022/08/05 03:06:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 03:06:20 - mmengine - INFO - Epoch(train) [182][920/1879] lr: 1.0000e-04 eta: 16:49:36 time: 0.4320 data_time: 0.0164 memory: 17087 grad_norm: 6.9566 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7498 loss: 0.7498 2022/08/05 03:06:29 - mmengine - INFO - Epoch(train) [182][940/1879] lr: 1.0000e-04 eta: 16:49:28 time: 0.4349 data_time: 0.0167 memory: 17087 grad_norm: 6.7365 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7061 loss: 0.7061 2022/08/05 03:06:38 - mmengine - INFO - Epoch(train) [182][960/1879] lr: 1.0000e-04 eta: 16:49:19 time: 0.4300 data_time: 0.0157 memory: 17087 grad_norm: 6.5351 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8475 loss: 0.8475 2022/08/05 03:06:46 - mmengine - INFO - Epoch(train) [182][980/1879] lr: 1.0000e-04 eta: 16:49:10 time: 0.4381 data_time: 0.0218 memory: 17087 grad_norm: 7.1317 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8641 loss: 0.8641 2022/08/05 03:06:55 - mmengine - INFO - Epoch(train) [182][1000/1879] lr: 1.0000e-04 eta: 16:49:02 time: 0.4312 data_time: 0.0160 memory: 17087 grad_norm: 6.9360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9347 loss: 0.9347 2022/08/05 03:07:03 - mmengine - INFO - Epoch(train) [182][1020/1879] lr: 1.0000e-04 eta: 16:48:53 time: 0.4309 data_time: 0.0141 memory: 17087 grad_norm: 6.6376 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7958 loss: 0.7958 2022/08/05 03:07:13 - mmengine - INFO - Epoch(train) [182][1040/1879] lr: 1.0000e-04 eta: 16:48:45 time: 0.4579 data_time: 0.0173 memory: 17087 grad_norm: 6.6457 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6558 loss: 0.6558 2022/08/05 03:07:21 - mmengine - INFO - Epoch(train) [182][1060/1879] lr: 1.0000e-04 eta: 16:48:36 time: 0.4292 data_time: 0.0138 memory: 17087 grad_norm: 6.6184 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6596 loss: 0.6596 2022/08/05 03:07:30 - mmengine - INFO - Epoch(train) [182][1080/1879] lr: 1.0000e-04 eta: 16:48:27 time: 0.4404 data_time: 0.0198 memory: 17087 grad_norm: 6.7030 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7278 loss: 0.7278 2022/08/05 03:07:39 - mmengine - INFO - Epoch(train) [182][1100/1879] lr: 1.0000e-04 eta: 16:48:19 time: 0.4305 data_time: 0.0166 memory: 17087 grad_norm: 6.6362 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7597 loss: 0.7597 2022/08/05 03:07:48 - mmengine - INFO - Epoch(train) [182][1120/1879] lr: 1.0000e-04 eta: 16:48:10 time: 0.4415 data_time: 0.0235 memory: 17087 grad_norm: 6.6525 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7322 loss: 0.7322 2022/08/05 03:07:56 - mmengine - INFO - Epoch(train) [182][1140/1879] lr: 1.0000e-04 eta: 16:48:01 time: 0.4286 data_time: 0.0133 memory: 17087 grad_norm: 7.1043 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7365 loss: 0.7365 2022/08/05 03:08:05 - mmengine - INFO - Epoch(train) [182][1160/1879] lr: 1.0000e-04 eta: 16:47:53 time: 0.4302 data_time: 0.0167 memory: 17087 grad_norm: 6.7587 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6664 loss: 0.6664 2022/08/05 03:08:14 - mmengine - INFO - Epoch(train) [182][1180/1879] lr: 1.0000e-04 eta: 16:47:44 time: 0.4356 data_time: 0.0163 memory: 17087 grad_norm: 6.9252 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7290 loss: 0.7290 2022/08/05 03:08:22 - mmengine - INFO - Epoch(train) [182][1200/1879] lr: 1.0000e-04 eta: 16:47:35 time: 0.4297 data_time: 0.0160 memory: 17087 grad_norm: 6.7143 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9368 loss: 0.9368 2022/08/05 03:08:32 - mmengine - INFO - Epoch(train) [182][1220/1879] lr: 1.0000e-04 eta: 16:47:27 time: 0.4733 data_time: 0.0165 memory: 17087 grad_norm: 6.5484 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8527 loss: 0.8527 2022/08/05 03:08:40 - mmengine - INFO - Epoch(train) [182][1240/1879] lr: 1.0000e-04 eta: 16:47:18 time: 0.4310 data_time: 0.0173 memory: 17087 grad_norm: 6.8458 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7491 loss: 0.7491 2022/08/05 03:08:49 - mmengine - INFO - Epoch(train) [182][1260/1879] lr: 1.0000e-04 eta: 16:47:10 time: 0.4365 data_time: 0.0143 memory: 17087 grad_norm: 6.7684 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8056 loss: 0.8056 2022/08/05 03:08:58 - mmengine - INFO - Epoch(train) [182][1280/1879] lr: 1.0000e-04 eta: 16:47:01 time: 0.4309 data_time: 0.0167 memory: 17087 grad_norm: 6.7031 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0572 loss: 1.0572 2022/08/05 03:09:06 - mmengine - INFO - Epoch(train) [182][1300/1879] lr: 1.0000e-04 eta: 16:46:52 time: 0.4394 data_time: 0.0199 memory: 17087 grad_norm: 6.6422 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6973 loss: 0.6973 2022/08/05 03:09:15 - mmengine - INFO - Epoch(train) [182][1320/1879] lr: 1.0000e-04 eta: 16:46:44 time: 0.4322 data_time: 0.0165 memory: 17087 grad_norm: 6.7393 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8112 loss: 0.8112 2022/08/05 03:09:24 - mmengine - INFO - Epoch(train) [182][1340/1879] lr: 1.0000e-04 eta: 16:46:35 time: 0.4326 data_time: 0.0156 memory: 17087 grad_norm: 6.8317 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8956 loss: 0.8956 2022/08/05 03:09:33 - mmengine - INFO - Epoch(train) [182][1360/1879] lr: 1.0000e-04 eta: 16:46:27 time: 0.4361 data_time: 0.0180 memory: 17087 grad_norm: 6.8173 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6445 loss: 0.6445 2022/08/05 03:09:41 - mmengine - INFO - Epoch(train) [182][1380/1879] lr: 1.0000e-04 eta: 16:46:18 time: 0.4387 data_time: 0.0160 memory: 17087 grad_norm: 6.6725 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9659 loss: 0.9659 2022/08/05 03:09:50 - mmengine - INFO - Epoch(train) [182][1400/1879] lr: 1.0000e-04 eta: 16:46:09 time: 0.4324 data_time: 0.0168 memory: 17087 grad_norm: 7.4970 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8766 loss: 0.8766 2022/08/05 03:09:59 - mmengine - INFO - Epoch(train) [182][1420/1879] lr: 1.0000e-04 eta: 16:46:01 time: 0.4376 data_time: 0.0186 memory: 17087 grad_norm: 6.7348 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7769 loss: 0.7769 2022/08/05 03:10:07 - mmengine - INFO - Epoch(train) [182][1440/1879] lr: 1.0000e-04 eta: 16:45:52 time: 0.4340 data_time: 0.0193 memory: 17087 grad_norm: 6.8221 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7092 loss: 0.7092 2022/08/05 03:10:16 - mmengine - INFO - Epoch(train) [182][1460/1879] lr: 1.0000e-04 eta: 16:45:43 time: 0.4300 data_time: 0.0144 memory: 17087 grad_norm: 6.7662 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7719 loss: 0.7719 2022/08/05 03:10:25 - mmengine - INFO - Epoch(train) [182][1480/1879] lr: 1.0000e-04 eta: 16:45:35 time: 0.4302 data_time: 0.0156 memory: 17087 grad_norm: 6.7243 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9052 loss: 0.9052 2022/08/05 03:10:33 - mmengine - INFO - Epoch(train) [182][1500/1879] lr: 1.0000e-04 eta: 16:45:26 time: 0.4325 data_time: 0.0183 memory: 17087 grad_norm: 6.9967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9517 loss: 0.9517 2022/08/05 03:10:43 - mmengine - INFO - Epoch(train) [182][1520/1879] lr: 1.0000e-04 eta: 16:45:18 time: 0.4555 data_time: 0.0161 memory: 17087 grad_norm: 6.9172 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8721 loss: 0.8721 2022/08/05 03:10:51 - mmengine - INFO - Epoch(train) [182][1540/1879] lr: 1.0000e-04 eta: 16:45:09 time: 0.4441 data_time: 0.0217 memory: 17087 grad_norm: 6.7886 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9332 loss: 0.9332 2022/08/05 03:11:00 - mmengine - INFO - Epoch(train) [182][1560/1879] lr: 1.0000e-04 eta: 16:45:00 time: 0.4303 data_time: 0.0175 memory: 17087 grad_norm: 6.7999 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8673 loss: 0.8673 2022/08/05 03:11:09 - mmengine - INFO - Epoch(train) [182][1580/1879] lr: 1.0000e-04 eta: 16:44:52 time: 0.4522 data_time: 0.0155 memory: 17087 grad_norm: 6.7356 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8519 loss: 0.8519 2022/08/05 03:11:18 - mmengine - INFO - Epoch(train) [182][1600/1879] lr: 1.0000e-04 eta: 16:44:43 time: 0.4386 data_time: 0.0167 memory: 17087 grad_norm: 6.9696 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8602 loss: 0.8602 2022/08/05 03:11:27 - mmengine - INFO - Epoch(train) [182][1620/1879] lr: 1.0000e-04 eta: 16:44:35 time: 0.4642 data_time: 0.0173 memory: 17087 grad_norm: 6.7100 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7343 loss: 0.7343 2022/08/05 03:11:36 - mmengine - INFO - Epoch(train) [182][1640/1879] lr: 1.0000e-04 eta: 16:44:26 time: 0.4306 data_time: 0.0162 memory: 17087 grad_norm: 6.9459 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8458 loss: 0.8458 2022/08/05 03:11:44 - mmengine - INFO - Epoch(train) [182][1660/1879] lr: 1.0000e-04 eta: 16:44:17 time: 0.4278 data_time: 0.0139 memory: 17087 grad_norm: 6.7566 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7090 loss: 0.7090 2022/08/05 03:11:54 - mmengine - INFO - Epoch(train) [182][1680/1879] lr: 1.0000e-04 eta: 16:44:09 time: 0.4553 data_time: 0.0162 memory: 17087 grad_norm: 6.6538 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8322 loss: 0.8322 2022/08/05 03:12:02 - mmengine - INFO - Epoch(train) [182][1700/1879] lr: 1.0000e-04 eta: 16:44:00 time: 0.4284 data_time: 0.0153 memory: 17087 grad_norm: 6.9723 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9066 loss: 0.9066 2022/08/05 03:12:11 - mmengine - INFO - Epoch(train) [182][1720/1879] lr: 1.0000e-04 eta: 16:43:52 time: 0.4316 data_time: 0.0163 memory: 17087 grad_norm: 6.9312 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7995 loss: 0.7995 2022/08/05 03:12:19 - mmengine - INFO - Epoch(train) [182][1740/1879] lr: 1.0000e-04 eta: 16:43:43 time: 0.4301 data_time: 0.0150 memory: 17087 grad_norm: 6.7776 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8090 loss: 0.8090 2022/08/05 03:12:28 - mmengine - INFO - Epoch(train) [182][1760/1879] lr: 1.0000e-04 eta: 16:43:34 time: 0.4386 data_time: 0.0178 memory: 17087 grad_norm: 6.8602 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9602 loss: 0.9602 2022/08/05 03:12:37 - mmengine - INFO - Epoch(train) [182][1780/1879] lr: 1.0000e-04 eta: 16:43:26 time: 0.4355 data_time: 0.0160 memory: 17087 grad_norm: 6.8120 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7062 loss: 0.7062 2022/08/05 03:12:46 - mmengine - INFO - Epoch(train) [182][1800/1879] lr: 1.0000e-04 eta: 16:43:17 time: 0.4298 data_time: 0.0145 memory: 17087 grad_norm: 6.5513 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8684 loss: 0.8684 2022/08/05 03:12:55 - mmengine - INFO - Epoch(train) [182][1820/1879] lr: 1.0000e-04 eta: 16:43:09 time: 0.4565 data_time: 0.0142 memory: 17087 grad_norm: 6.6824 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7741 loss: 0.7741 2022/08/05 03:13:03 - mmengine - INFO - Epoch(train) [182][1840/1879] lr: 1.0000e-04 eta: 16:43:00 time: 0.4372 data_time: 0.0190 memory: 17087 grad_norm: 6.8625 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8280 loss: 0.8280 2022/08/05 03:13:12 - mmengine - INFO - Epoch(train) [182][1860/1879] lr: 1.0000e-04 eta: 16:42:51 time: 0.4523 data_time: 0.0144 memory: 17087 grad_norm: 6.9764 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9624 loss: 0.9624 2022/08/05 03:13:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 03:13:21 - mmengine - INFO - Epoch(train) [182][1879/1879] lr: 1.0000e-04 eta: 16:42:51 time: 0.4304 data_time: 0.0184 memory: 17087 grad_norm: 7.0034 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8547 loss: 0.8547 2022/08/05 03:13:33 - mmengine - INFO - Epoch(train) [183][20/1879] lr: 1.0000e-04 eta: 16:42:33 time: 0.5915 data_time: 0.1438 memory: 17087 grad_norm: 6.8931 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9252 loss: 0.9252 2022/08/05 03:13:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 03:13:42 - mmengine - INFO - Epoch(train) [183][40/1879] lr: 1.0000e-04 eta: 16:42:24 time: 0.4528 data_time: 0.0169 memory: 17087 grad_norm: 6.9085 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8665 loss: 0.8665 2022/08/05 03:13:50 - mmengine - INFO - Epoch(train) [183][60/1879] lr: 1.0000e-04 eta: 16:42:15 time: 0.4390 data_time: 0.0135 memory: 17087 grad_norm: 6.9513 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8203 loss: 0.8203 2022/08/05 03:14:00 - mmengine - INFO - Epoch(train) [183][80/1879] lr: 1.0000e-04 eta: 16:42:07 time: 0.4612 data_time: 0.0187 memory: 17087 grad_norm: 6.8944 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7695 loss: 0.7695 2022/08/05 03:14:08 - mmengine - INFO - Epoch(train) [183][100/1879] lr: 1.0000e-04 eta: 16:41:58 time: 0.4325 data_time: 0.0139 memory: 17087 grad_norm: 6.6525 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8140 loss: 0.8140 2022/08/05 03:14:17 - mmengine - INFO - Epoch(train) [183][120/1879] lr: 1.0000e-04 eta: 16:41:50 time: 0.4421 data_time: 0.0230 memory: 17087 grad_norm: 6.9048 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7010 loss: 0.7010 2022/08/05 03:14:26 - mmengine - INFO - Epoch(train) [183][140/1879] lr: 1.0000e-04 eta: 16:41:41 time: 0.4292 data_time: 0.0148 memory: 17087 grad_norm: 6.8133 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9147 loss: 0.9147 2022/08/05 03:14:34 - mmengine - INFO - Epoch(train) [183][160/1879] lr: 1.0000e-04 eta: 16:41:32 time: 0.4300 data_time: 0.0152 memory: 17087 grad_norm: 6.9055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8617 loss: 0.8617 2022/08/05 03:14:44 - mmengine - INFO - Epoch(train) [183][180/1879] lr: 1.0000e-04 eta: 16:41:24 time: 0.4583 data_time: 0.0180 memory: 17087 grad_norm: 6.9497 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9202 loss: 0.9202 2022/08/05 03:14:53 - mmengine - INFO - Epoch(train) [183][200/1879] lr: 1.0000e-04 eta: 16:41:15 time: 0.4422 data_time: 0.0178 memory: 17087 grad_norm: 6.9893 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9228 loss: 0.9228 2022/08/05 03:15:02 - mmengine - INFO - Epoch(train) [183][220/1879] lr: 1.0000e-04 eta: 16:41:07 time: 0.4551 data_time: 0.0169 memory: 17087 grad_norm: 7.2036 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8644 loss: 0.8644 2022/08/05 03:15:11 - mmengine - INFO - Epoch(train) [183][240/1879] lr: 1.0000e-04 eta: 16:40:58 time: 0.4503 data_time: 0.0172 memory: 17087 grad_norm: 6.7069 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8851 loss: 0.8851 2022/08/05 03:15:20 - mmengine - INFO - Epoch(train) [183][260/1879] lr: 1.0000e-04 eta: 16:40:50 time: 0.4544 data_time: 0.0161 memory: 17087 grad_norm: 6.6976 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8286 loss: 0.8286 2022/08/05 03:15:29 - mmengine - INFO - Epoch(train) [183][280/1879] lr: 1.0000e-04 eta: 16:40:41 time: 0.4442 data_time: 0.0209 memory: 17087 grad_norm: 6.9107 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8250 loss: 0.8250 2022/08/05 03:15:37 - mmengine - INFO - Epoch(train) [183][300/1879] lr: 1.0000e-04 eta: 16:40:33 time: 0.4389 data_time: 0.0163 memory: 17087 grad_norm: 7.0745 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7158 loss: 0.7158 2022/08/05 03:15:46 - mmengine - INFO - Epoch(train) [183][320/1879] lr: 1.0000e-04 eta: 16:40:24 time: 0.4289 data_time: 0.0149 memory: 17087 grad_norm: 6.6292 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7882 loss: 0.7882 2022/08/05 03:15:55 - mmengine - INFO - Epoch(train) [183][340/1879] lr: 1.0000e-04 eta: 16:40:15 time: 0.4344 data_time: 0.0153 memory: 17087 grad_norm: 6.3397 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7935 loss: 0.7935 2022/08/05 03:16:04 - mmengine - INFO - Epoch(train) [183][360/1879] lr: 1.0000e-04 eta: 16:40:07 time: 0.4546 data_time: 0.0182 memory: 17087 grad_norm: 6.7418 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9017 loss: 0.9017 2022/08/05 03:16:13 - mmengine - INFO - Epoch(train) [183][380/1879] lr: 1.0000e-04 eta: 16:39:58 time: 0.4342 data_time: 0.0185 memory: 17087 grad_norm: 6.7720 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7981 loss: 0.7981 2022/08/05 03:16:21 - mmengine - INFO - Epoch(train) [183][400/1879] lr: 1.0000e-04 eta: 16:39:50 time: 0.4382 data_time: 0.0175 memory: 17087 grad_norm: 6.8763 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8916 loss: 0.8916 2022/08/05 03:16:30 - mmengine - INFO - Epoch(train) [183][420/1879] lr: 1.0000e-04 eta: 16:39:41 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 7.0906 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0017 loss: 1.0017 2022/08/05 03:16:39 - mmengine - INFO - Epoch(train) [183][440/1879] lr: 1.0000e-04 eta: 16:39:32 time: 0.4356 data_time: 0.0172 memory: 17087 grad_norm: 6.9669 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8481 loss: 0.8481 2022/08/05 03:16:47 - mmengine - INFO - Epoch(train) [183][460/1879] lr: 1.0000e-04 eta: 16:39:24 time: 0.4331 data_time: 0.0139 memory: 17087 grad_norm: 6.9296 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8681 loss: 0.8681 2022/08/05 03:16:56 - mmengine - INFO - Epoch(train) [183][480/1879] lr: 1.0000e-04 eta: 16:39:15 time: 0.4313 data_time: 0.0167 memory: 17087 grad_norm: 7.0614 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9496 loss: 0.9496 2022/08/05 03:17:05 - mmengine - INFO - Epoch(train) [183][500/1879] lr: 1.0000e-04 eta: 16:39:06 time: 0.4293 data_time: 0.0154 memory: 17087 grad_norm: 6.8889 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7155 loss: 0.7155 2022/08/05 03:17:13 - mmengine - INFO - Epoch(train) [183][520/1879] lr: 1.0000e-04 eta: 16:38:58 time: 0.4392 data_time: 0.0172 memory: 17087 grad_norm: 6.9768 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7193 loss: 0.7193 2022/08/05 03:17:22 - mmengine - INFO - Epoch(train) [183][540/1879] lr: 1.0000e-04 eta: 16:38:49 time: 0.4497 data_time: 0.0159 memory: 17087 grad_norm: 7.0353 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8598 loss: 0.8598 2022/08/05 03:17:31 - mmengine - INFO - Epoch(train) [183][560/1879] lr: 1.0000e-04 eta: 16:38:41 time: 0.4372 data_time: 0.0168 memory: 17087 grad_norm: 6.8119 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7551 loss: 0.7551 2022/08/05 03:17:40 - mmengine - INFO - Epoch(train) [183][580/1879] lr: 1.0000e-04 eta: 16:38:32 time: 0.4589 data_time: 0.0203 memory: 17087 grad_norm: 6.9808 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7674 loss: 0.7674 2022/08/05 03:17:49 - mmengine - INFO - Epoch(train) [183][600/1879] lr: 1.0000e-04 eta: 16:38:24 time: 0.4459 data_time: 0.0214 memory: 17087 grad_norm: 6.8952 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8406 loss: 0.8406 2022/08/05 03:17:59 - mmengine - INFO - Epoch(train) [183][620/1879] lr: 1.0000e-04 eta: 16:38:15 time: 0.4574 data_time: 0.0156 memory: 17087 grad_norm: 6.9284 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8948 loss: 0.8948 2022/08/05 03:18:07 - mmengine - INFO - Epoch(train) [183][640/1879] lr: 1.0000e-04 eta: 16:38:07 time: 0.4394 data_time: 0.0190 memory: 17087 grad_norm: 6.6042 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7498 loss: 0.7498 2022/08/05 03:18:16 - mmengine - INFO - Epoch(train) [183][660/1879] lr: 1.0000e-04 eta: 16:37:58 time: 0.4283 data_time: 0.0131 memory: 17087 grad_norm: 6.7913 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7507 loss: 0.7507 2022/08/05 03:18:25 - mmengine - INFO - Epoch(train) [183][680/1879] lr: 1.0000e-04 eta: 16:37:49 time: 0.4310 data_time: 0.0155 memory: 17087 grad_norm: 6.9151 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9160 loss: 0.9160 2022/08/05 03:18:34 - mmengine - INFO - Epoch(train) [183][700/1879] lr: 1.0000e-04 eta: 16:37:41 time: 0.4656 data_time: 0.0176 memory: 17087 grad_norm: 6.8014 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7785 loss: 0.7785 2022/08/05 03:18:43 - mmengine - INFO - Epoch(train) [183][720/1879] lr: 1.0000e-04 eta: 16:37:32 time: 0.4319 data_time: 0.0167 memory: 17087 grad_norm: 6.5422 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6996 loss: 0.6996 2022/08/05 03:18:52 - mmengine - INFO - Epoch(train) [183][740/1879] lr: 1.0000e-04 eta: 16:37:24 time: 0.4576 data_time: 0.0162 memory: 17087 grad_norm: 6.7692 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8901 loss: 0.8901 2022/08/05 03:19:00 - mmengine - INFO - Epoch(train) [183][760/1879] lr: 1.0000e-04 eta: 16:37:15 time: 0.4331 data_time: 0.0166 memory: 17087 grad_norm: 6.6415 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6399 loss: 0.6399 2022/08/05 03:19:09 - mmengine - INFO - Epoch(train) [183][780/1879] lr: 1.0000e-04 eta: 16:37:07 time: 0.4362 data_time: 0.0154 memory: 17087 grad_norm: 7.1416 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9165 loss: 0.9165 2022/08/05 03:19:18 - mmengine - INFO - Epoch(train) [183][800/1879] lr: 1.0000e-04 eta: 16:36:58 time: 0.4322 data_time: 0.0163 memory: 17087 grad_norm: 6.7753 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7497 loss: 0.7497 2022/08/05 03:19:26 - mmengine - INFO - Epoch(train) [183][820/1879] lr: 1.0000e-04 eta: 16:36:49 time: 0.4282 data_time: 0.0136 memory: 17087 grad_norm: 6.8743 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8149 loss: 0.8149 2022/08/05 03:19:35 - mmengine - INFO - Epoch(train) [183][840/1879] lr: 1.0000e-04 eta: 16:36:41 time: 0.4383 data_time: 0.0190 memory: 17087 grad_norm: 6.6475 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8703 loss: 0.8703 2022/08/05 03:19:44 - mmengine - INFO - Epoch(train) [183][860/1879] lr: 1.0000e-04 eta: 16:36:32 time: 0.4354 data_time: 0.0146 memory: 17087 grad_norm: 6.7053 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8051 loss: 0.8051 2022/08/05 03:19:53 - mmengine - INFO - Epoch(train) [183][880/1879] lr: 1.0000e-04 eta: 16:36:23 time: 0.4450 data_time: 0.0170 memory: 17087 grad_norm: 6.7034 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6523 loss: 0.6523 2022/08/05 03:20:01 - mmengine - INFO - Epoch(train) [183][900/1879] lr: 1.0000e-04 eta: 16:36:15 time: 0.4301 data_time: 0.0131 memory: 17087 grad_norm: 6.5844 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8221 loss: 0.8221 2022/08/05 03:20:10 - mmengine - INFO - Epoch(train) [183][920/1879] lr: 1.0000e-04 eta: 16:36:06 time: 0.4365 data_time: 0.0178 memory: 17087 grad_norm: 6.8832 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0326 loss: 1.0326 2022/08/05 03:20:19 - mmengine - INFO - Epoch(train) [183][940/1879] lr: 1.0000e-04 eta: 16:35:57 time: 0.4297 data_time: 0.0165 memory: 17087 grad_norm: 6.8710 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8835 loss: 0.8835 2022/08/05 03:20:28 - mmengine - INFO - Epoch(train) [183][960/1879] lr: 1.0000e-04 eta: 16:35:49 time: 0.4569 data_time: 0.0198 memory: 17087 grad_norm: 6.6793 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7560 loss: 0.7560 2022/08/05 03:20:37 - mmengine - INFO - Epoch(train) [183][980/1879] lr: 1.0000e-04 eta: 16:35:40 time: 0.4283 data_time: 0.0153 memory: 17087 grad_norm: 6.9469 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8816 loss: 0.8816 2022/08/05 03:20:45 - mmengine - INFO - Epoch(train) [183][1000/1879] lr: 1.0000e-04 eta: 16:35:32 time: 0.4300 data_time: 0.0155 memory: 17087 grad_norm: 6.8233 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9479 loss: 0.9479 2022/08/05 03:20:54 - mmengine - INFO - Epoch(train) [183][1020/1879] lr: 1.0000e-04 eta: 16:35:23 time: 0.4306 data_time: 0.0172 memory: 17087 grad_norm: 6.9416 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8971 loss: 0.8971 2022/08/05 03:20:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 03:21:02 - mmengine - INFO - Epoch(train) [183][1040/1879] lr: 1.0000e-04 eta: 16:35:14 time: 0.4312 data_time: 0.0156 memory: 17087 grad_norm: 6.6357 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8045 loss: 0.8045 2022/08/05 03:21:11 - mmengine - INFO - Epoch(train) [183][1060/1879] lr: 1.0000e-04 eta: 16:35:06 time: 0.4307 data_time: 0.0155 memory: 17087 grad_norm: 6.9190 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8661 loss: 0.8661 2022/08/05 03:21:20 - mmengine - INFO - Epoch(train) [183][1080/1879] lr: 1.0000e-04 eta: 16:34:57 time: 0.4359 data_time: 0.0161 memory: 17087 grad_norm: 6.7746 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8953 loss: 0.8953 2022/08/05 03:21:28 - mmengine - INFO - Epoch(train) [183][1100/1879] lr: 1.0000e-04 eta: 16:34:48 time: 0.4313 data_time: 0.0155 memory: 17087 grad_norm: 6.7251 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8471 loss: 0.8471 2022/08/05 03:21:37 - mmengine - INFO - Epoch(train) [183][1120/1879] lr: 1.0000e-04 eta: 16:34:40 time: 0.4445 data_time: 0.0159 memory: 17087 grad_norm: 6.8918 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8428 loss: 0.8428 2022/08/05 03:21:46 - mmengine - INFO - Epoch(train) [183][1140/1879] lr: 1.0000e-04 eta: 16:34:31 time: 0.4284 data_time: 0.0152 memory: 17087 grad_norm: 6.6518 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7308 loss: 0.7308 2022/08/05 03:21:55 - mmengine - INFO - Epoch(train) [183][1160/1879] lr: 1.0000e-04 eta: 16:34:22 time: 0.4387 data_time: 0.0169 memory: 17087 grad_norm: 6.7031 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8282 loss: 0.8282 2022/08/05 03:22:04 - mmengine - INFO - Epoch(train) [183][1180/1879] lr: 1.0000e-04 eta: 16:34:14 time: 0.4483 data_time: 0.0163 memory: 17087 grad_norm: 7.0491 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8994 loss: 0.8994 2022/08/05 03:22:12 - mmengine - INFO - Epoch(train) [183][1200/1879] lr: 1.0000e-04 eta: 16:34:05 time: 0.4329 data_time: 0.0152 memory: 17087 grad_norm: 7.0784 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9954 loss: 0.9954 2022/08/05 03:22:21 - mmengine - INFO - Epoch(train) [183][1220/1879] lr: 1.0000e-04 eta: 16:33:57 time: 0.4442 data_time: 0.0142 memory: 17087 grad_norm: 6.6718 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8014 loss: 0.8014 2022/08/05 03:22:30 - mmengine - INFO - Epoch(train) [183][1240/1879] lr: 1.0000e-04 eta: 16:33:48 time: 0.4337 data_time: 0.0168 memory: 17087 grad_norm: 6.8194 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8529 loss: 0.8529 2022/08/05 03:22:39 - mmengine - INFO - Epoch(train) [183][1260/1879] lr: 1.0000e-04 eta: 16:33:40 time: 0.4474 data_time: 0.0153 memory: 17087 grad_norm: 6.8584 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8031 loss: 0.8031 2022/08/05 03:22:48 - mmengine - INFO - Epoch(train) [183][1280/1879] lr: 1.0000e-04 eta: 16:33:31 time: 0.4425 data_time: 0.0176 memory: 17087 grad_norm: 6.9237 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9481 loss: 0.9481 2022/08/05 03:22:56 - mmengine - INFO - Epoch(train) [183][1300/1879] lr: 1.0000e-04 eta: 16:33:22 time: 0.4303 data_time: 0.0156 memory: 17087 grad_norm: 6.7570 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8775 loss: 0.8775 2022/08/05 03:23:05 - mmengine - INFO - Epoch(train) [183][1320/1879] lr: 1.0000e-04 eta: 16:33:14 time: 0.4301 data_time: 0.0150 memory: 17087 grad_norm: 6.5932 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7604 loss: 0.7604 2022/08/05 03:23:14 - mmengine - INFO - Epoch(train) [183][1340/1879] lr: 1.0000e-04 eta: 16:33:05 time: 0.4335 data_time: 0.0163 memory: 17087 grad_norm: 6.6632 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8909 loss: 0.8909 2022/08/05 03:23:25 - mmengine - INFO - Epoch(train) [183][1360/1879] lr: 1.0000e-04 eta: 16:32:57 time: 0.5446 data_time: 0.0155 memory: 17087 grad_norm: 6.9777 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7984 loss: 0.7984 2022/08/05 03:23:33 - mmengine - INFO - Epoch(train) [183][1380/1879] lr: 1.0000e-04 eta: 16:32:49 time: 0.4313 data_time: 0.0176 memory: 17087 grad_norm: 6.7003 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7886 loss: 0.7886 2022/08/05 03:23:42 - mmengine - INFO - Epoch(train) [183][1400/1879] lr: 1.0000e-04 eta: 16:32:40 time: 0.4318 data_time: 0.0151 memory: 17087 grad_norm: 6.9457 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8820 loss: 0.8820 2022/08/05 03:23:51 - mmengine - INFO - Epoch(train) [183][1420/1879] lr: 1.0000e-04 eta: 16:32:31 time: 0.4317 data_time: 0.0176 memory: 17087 grad_norm: 7.0039 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6917 loss: 0.6917 2022/08/05 03:23:59 - mmengine - INFO - Epoch(train) [183][1440/1879] lr: 1.0000e-04 eta: 16:32:23 time: 0.4315 data_time: 0.0150 memory: 17087 grad_norm: 6.8673 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8808 loss: 0.8808 2022/08/05 03:24:08 - mmengine - INFO - Epoch(train) [183][1460/1879] lr: 1.0000e-04 eta: 16:32:14 time: 0.4583 data_time: 0.0169 memory: 17087 grad_norm: 6.5821 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7787 loss: 0.7787 2022/08/05 03:24:17 - mmengine - INFO - Epoch(train) [183][1480/1879] lr: 1.0000e-04 eta: 16:32:05 time: 0.4380 data_time: 0.0152 memory: 17087 grad_norm: 6.8257 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8981 loss: 0.8981 2022/08/05 03:24:26 - mmengine - INFO - Epoch(train) [183][1500/1879] lr: 1.0000e-04 eta: 16:31:57 time: 0.4289 data_time: 0.0160 memory: 17087 grad_norm: 6.7651 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8942 loss: 0.8942 2022/08/05 03:24:35 - mmengine - INFO - Epoch(train) [183][1520/1879] lr: 1.0000e-04 eta: 16:31:48 time: 0.4534 data_time: 0.0156 memory: 17087 grad_norm: 6.6117 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9222 loss: 0.9222 2022/08/05 03:24:44 - mmengine - INFO - Epoch(train) [183][1540/1879] lr: 1.0000e-04 eta: 16:31:40 time: 0.4323 data_time: 0.0162 memory: 17087 grad_norm: 6.9627 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9281 loss: 0.9281 2022/08/05 03:24:52 - mmengine - INFO - Epoch(train) [183][1560/1879] lr: 1.0000e-04 eta: 16:31:31 time: 0.4316 data_time: 0.0159 memory: 17087 grad_norm: 6.7366 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9039 loss: 0.9039 2022/08/05 03:25:01 - mmengine - INFO - Epoch(train) [183][1580/1879] lr: 1.0000e-04 eta: 16:31:22 time: 0.4310 data_time: 0.0183 memory: 17087 grad_norm: 6.7782 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8346 loss: 0.8346 2022/08/05 03:25:10 - mmengine - INFO - Epoch(train) [183][1600/1879] lr: 1.0000e-04 eta: 16:31:14 time: 0.4385 data_time: 0.0156 memory: 17087 grad_norm: 7.0271 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0291 loss: 1.0291 2022/08/05 03:25:18 - mmengine - INFO - Epoch(train) [183][1620/1879] lr: 1.0000e-04 eta: 16:31:05 time: 0.4309 data_time: 0.0161 memory: 17087 grad_norm: 6.9025 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8401 loss: 0.8401 2022/08/05 03:25:27 - mmengine - INFO - Epoch(train) [183][1640/1879] lr: 1.0000e-04 eta: 16:30:56 time: 0.4293 data_time: 0.0156 memory: 17087 grad_norm: 7.0726 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9794 loss: 0.9794 2022/08/05 03:25:36 - mmengine - INFO - Epoch(train) [183][1660/1879] lr: 1.0000e-04 eta: 16:30:48 time: 0.4431 data_time: 0.0167 memory: 17087 grad_norm: 6.7779 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8731 loss: 0.8731 2022/08/05 03:25:44 - mmengine - INFO - Epoch(train) [183][1680/1879] lr: 1.0000e-04 eta: 16:30:39 time: 0.4281 data_time: 0.0156 memory: 17087 grad_norm: 6.8343 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8635 loss: 0.8635 2022/08/05 03:25:54 - mmengine - INFO - Epoch(train) [183][1700/1879] lr: 1.0000e-04 eta: 16:30:31 time: 0.4631 data_time: 0.0168 memory: 17087 grad_norm: 6.6762 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7015 loss: 0.7015 2022/08/05 03:26:02 - mmengine - INFO - Epoch(train) [183][1720/1879] lr: 1.0000e-04 eta: 16:30:22 time: 0.4358 data_time: 0.0165 memory: 17087 grad_norm: 6.9948 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9757 loss: 0.9757 2022/08/05 03:26:11 - mmengine - INFO - Epoch(train) [183][1740/1879] lr: 1.0000e-04 eta: 16:30:13 time: 0.4317 data_time: 0.0160 memory: 17087 grad_norm: 6.7737 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8314 loss: 0.8314 2022/08/05 03:26:20 - mmengine - INFO - Epoch(train) [183][1760/1879] lr: 1.0000e-04 eta: 16:30:05 time: 0.4392 data_time: 0.0208 memory: 17087 grad_norm: 6.9599 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7935 loss: 0.7935 2022/08/05 03:26:29 - mmengine - INFO - Epoch(train) [183][1780/1879] lr: 1.0000e-04 eta: 16:29:56 time: 0.4329 data_time: 0.0166 memory: 17087 grad_norm: 6.8835 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9440 loss: 0.9440 2022/08/05 03:26:37 - mmengine - INFO - Epoch(train) [183][1800/1879] lr: 1.0000e-04 eta: 16:29:47 time: 0.4295 data_time: 0.0148 memory: 17087 grad_norm: 6.6477 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7994 loss: 0.7994 2022/08/05 03:26:46 - mmengine - INFO - Epoch(train) [183][1820/1879] lr: 1.0000e-04 eta: 16:29:39 time: 0.4378 data_time: 0.0181 memory: 17087 grad_norm: 6.7635 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7635 loss: 0.7635 2022/08/05 03:26:55 - mmengine - INFO - Epoch(train) [183][1840/1879] lr: 1.0000e-04 eta: 16:29:30 time: 0.4295 data_time: 0.0150 memory: 17087 grad_norm: 6.6361 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8115 loss: 0.8115 2022/08/05 03:27:04 - mmengine - INFO - Epoch(train) [183][1860/1879] lr: 1.0000e-04 eta: 16:29:22 time: 0.4554 data_time: 0.0173 memory: 17087 grad_norm: 7.2063 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.1594 loss: 1.1594 2022/08/05 03:27:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 03:27:12 - mmengine - INFO - Epoch(train) [183][1879/1879] lr: 1.0000e-04 eta: 16:29:22 time: 0.4135 data_time: 0.0122 memory: 17087 grad_norm: 7.0424 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8958 loss: 0.8958 2022/08/05 03:27:23 - mmengine - INFO - Epoch(train) [184][20/1879] lr: 1.0000e-04 eta: 16:29:02 time: 0.5535 data_time: 0.1177 memory: 17087 grad_norm: 6.8344 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7412 loss: 0.7412 2022/08/05 03:27:32 - mmengine - INFO - Epoch(train) [184][40/1879] lr: 1.0000e-04 eta: 16:28:54 time: 0.4456 data_time: 0.0177 memory: 17087 grad_norm: 6.9642 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7787 loss: 0.7787 2022/08/05 03:27:40 - mmengine - INFO - Epoch(train) [184][60/1879] lr: 1.0000e-04 eta: 16:28:45 time: 0.4307 data_time: 0.0167 memory: 17087 grad_norm: 6.8871 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8805 loss: 0.8805 2022/08/05 03:27:49 - mmengine - INFO - Epoch(train) [184][80/1879] lr: 1.0000e-04 eta: 16:28:37 time: 0.4450 data_time: 0.0169 memory: 17087 grad_norm: 6.9441 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8879 loss: 0.8879 2022/08/05 03:27:58 - mmengine - INFO - Epoch(train) [184][100/1879] lr: 1.0000e-04 eta: 16:28:28 time: 0.4305 data_time: 0.0152 memory: 17087 grad_norm: 6.7342 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8105 loss: 0.8105 2022/08/05 03:28:06 - mmengine - INFO - Epoch(train) [184][120/1879] lr: 1.0000e-04 eta: 16:28:19 time: 0.4321 data_time: 0.0175 memory: 17087 grad_norm: 6.9950 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8806 loss: 0.8806 2022/08/05 03:28:15 - mmengine - INFO - Epoch(train) [184][140/1879] lr: 1.0000e-04 eta: 16:28:11 time: 0.4338 data_time: 0.0159 memory: 17087 grad_norm: 6.9647 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8138 loss: 0.8138 2022/08/05 03:28:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 03:28:24 - mmengine - INFO - Epoch(train) [184][160/1879] lr: 1.0000e-04 eta: 16:28:02 time: 0.4355 data_time: 0.0168 memory: 17087 grad_norm: 6.7213 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9812 loss: 0.9812 2022/08/05 03:28:33 - mmengine - INFO - Epoch(train) [184][180/1879] lr: 1.0000e-04 eta: 16:27:53 time: 0.4319 data_time: 0.0161 memory: 17087 grad_norm: 6.5561 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6480 loss: 0.6480 2022/08/05 03:28:41 - mmengine - INFO - Epoch(train) [184][200/1879] lr: 1.0000e-04 eta: 16:27:45 time: 0.4355 data_time: 0.0177 memory: 17087 grad_norm: 6.9041 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7873 loss: 0.7873 2022/08/05 03:28:51 - mmengine - INFO - Epoch(train) [184][220/1879] lr: 1.0000e-04 eta: 16:27:36 time: 0.4613 data_time: 0.0156 memory: 17087 grad_norm: 6.7099 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7783 loss: 0.7783 2022/08/05 03:28:59 - mmengine - INFO - Epoch(train) [184][240/1879] lr: 1.0000e-04 eta: 16:27:28 time: 0.4348 data_time: 0.0209 memory: 17087 grad_norm: 6.5570 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.6849 loss: 0.6849 2022/08/05 03:29:08 - mmengine - INFO - Epoch(train) [184][260/1879] lr: 1.0000e-04 eta: 16:27:19 time: 0.4314 data_time: 0.0144 memory: 17087 grad_norm: 6.7501 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8845 loss: 0.8845 2022/08/05 03:29:17 - mmengine - INFO - Epoch(train) [184][280/1879] lr: 1.0000e-04 eta: 16:27:10 time: 0.4298 data_time: 0.0159 memory: 17087 grad_norm: 7.0726 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8170 loss: 0.8170 2022/08/05 03:29:26 - mmengine - INFO - Epoch(train) [184][300/1879] lr: 1.0000e-04 eta: 16:27:02 time: 0.4491 data_time: 0.0159 memory: 17087 grad_norm: 6.5464 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8215 loss: 0.8215 2022/08/05 03:29:34 - mmengine - INFO - Epoch(train) [184][320/1879] lr: 1.0000e-04 eta: 16:26:53 time: 0.4405 data_time: 0.0204 memory: 17087 grad_norm: 6.7098 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9736 loss: 0.9736 2022/08/05 03:29:43 - mmengine - INFO - Epoch(train) [184][340/1879] lr: 1.0000e-04 eta: 16:26:45 time: 0.4338 data_time: 0.0154 memory: 17087 grad_norm: 6.7717 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7993 loss: 0.7993 2022/08/05 03:29:52 - mmengine - INFO - Epoch(train) [184][360/1879] lr: 1.0000e-04 eta: 16:26:36 time: 0.4370 data_time: 0.0155 memory: 17087 grad_norm: 6.6718 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8697 loss: 0.8697 2022/08/05 03:30:00 - mmengine - INFO - Epoch(train) [184][380/1879] lr: 1.0000e-04 eta: 16:26:27 time: 0.4316 data_time: 0.0178 memory: 17087 grad_norm: 6.8553 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9698 loss: 0.9698 2022/08/05 03:30:09 - mmengine - INFO - Epoch(train) [184][400/1879] lr: 1.0000e-04 eta: 16:26:19 time: 0.4320 data_time: 0.0153 memory: 17087 grad_norm: 6.8413 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7434 loss: 0.7434 2022/08/05 03:30:18 - mmengine - INFO - Epoch(train) [184][420/1879] lr: 1.0000e-04 eta: 16:26:10 time: 0.4306 data_time: 0.0147 memory: 17087 grad_norm: 6.8347 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8648 loss: 0.8648 2022/08/05 03:30:27 - mmengine - INFO - Epoch(train) [184][440/1879] lr: 1.0000e-04 eta: 16:26:02 time: 0.4497 data_time: 0.0169 memory: 17087 grad_norm: 6.6555 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8580 loss: 0.8580 2022/08/05 03:30:36 - mmengine - INFO - Epoch(train) [184][460/1879] lr: 1.0000e-04 eta: 16:25:53 time: 0.4375 data_time: 0.0156 memory: 17087 grad_norm: 6.8499 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7822 loss: 0.7822 2022/08/05 03:30:44 - mmengine - INFO - Epoch(train) [184][480/1879] lr: 1.0000e-04 eta: 16:25:44 time: 0.4369 data_time: 0.0207 memory: 17087 grad_norm: 6.9253 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7687 loss: 0.7687 2022/08/05 03:30:53 - mmengine - INFO - Epoch(train) [184][500/1879] lr: 1.0000e-04 eta: 16:25:36 time: 0.4503 data_time: 0.0178 memory: 17087 grad_norm: 6.9604 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6280 loss: 0.6280 2022/08/05 03:31:02 - mmengine - INFO - Epoch(train) [184][520/1879] lr: 1.0000e-04 eta: 16:25:27 time: 0.4340 data_time: 0.0168 memory: 17087 grad_norm: 6.7482 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9190 loss: 0.9190 2022/08/05 03:31:11 - mmengine - INFO - Epoch(train) [184][540/1879] lr: 1.0000e-04 eta: 16:25:19 time: 0.4494 data_time: 0.0164 memory: 17087 grad_norm: 7.1345 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8571 loss: 0.8571 2022/08/05 03:31:20 - mmengine - INFO - Epoch(train) [184][560/1879] lr: 1.0000e-04 eta: 16:25:10 time: 0.4323 data_time: 0.0179 memory: 17087 grad_norm: 6.7064 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8840 loss: 0.8840 2022/08/05 03:31:28 - mmengine - INFO - Epoch(train) [184][580/1879] lr: 1.0000e-04 eta: 16:25:01 time: 0.4381 data_time: 0.0163 memory: 17087 grad_norm: 6.8260 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8796 loss: 0.8796 2022/08/05 03:31:37 - mmengine - INFO - Epoch(train) [184][600/1879] lr: 1.0000e-04 eta: 16:24:53 time: 0.4301 data_time: 0.0162 memory: 17087 grad_norm: 6.9319 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8718 loss: 0.8718 2022/08/05 03:31:46 - mmengine - INFO - Epoch(train) [184][620/1879] lr: 1.0000e-04 eta: 16:24:44 time: 0.4310 data_time: 0.0158 memory: 17087 grad_norm: 6.9501 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9135 loss: 0.9135 2022/08/05 03:31:54 - mmengine - INFO - Epoch(train) [184][640/1879] lr: 1.0000e-04 eta: 16:24:35 time: 0.4298 data_time: 0.0153 memory: 17087 grad_norm: 6.7292 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0436 loss: 1.0436 2022/08/05 03:32:03 - mmengine - INFO - Epoch(train) [184][660/1879] lr: 1.0000e-04 eta: 16:24:27 time: 0.4374 data_time: 0.0189 memory: 17087 grad_norm: 6.5735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9041 loss: 0.9041 2022/08/05 03:32:12 - mmengine - INFO - Epoch(train) [184][680/1879] lr: 1.0000e-04 eta: 16:24:18 time: 0.4476 data_time: 0.0153 memory: 17087 grad_norm: 6.8751 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9709 loss: 0.9709 2022/08/05 03:32:21 - mmengine - INFO - Epoch(train) [184][700/1879] lr: 1.0000e-04 eta: 16:24:10 time: 0.4398 data_time: 0.0178 memory: 17087 grad_norm: 7.1434 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8722 loss: 0.8722 2022/08/05 03:32:30 - mmengine - INFO - Epoch(train) [184][720/1879] lr: 1.0000e-04 eta: 16:24:01 time: 0.4319 data_time: 0.0151 memory: 17087 grad_norm: 6.9540 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7848 loss: 0.7848 2022/08/05 03:32:39 - mmengine - INFO - Epoch(train) [184][740/1879] lr: 1.0000e-04 eta: 16:23:52 time: 0.4535 data_time: 0.0164 memory: 17087 grad_norm: 6.8056 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8467 loss: 0.8467 2022/08/05 03:32:47 - mmengine - INFO - Epoch(train) [184][760/1879] lr: 1.0000e-04 eta: 16:23:44 time: 0.4302 data_time: 0.0148 memory: 17087 grad_norm: 6.9465 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9079 loss: 0.9079 2022/08/05 03:32:56 - mmengine - INFO - Epoch(train) [184][780/1879] lr: 1.0000e-04 eta: 16:23:35 time: 0.4290 data_time: 0.0166 memory: 17087 grad_norm: 6.8030 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8992 loss: 0.8992 2022/08/05 03:33:05 - mmengine - INFO - Epoch(train) [184][800/1879] lr: 1.0000e-04 eta: 16:23:26 time: 0.4319 data_time: 0.0169 memory: 17087 grad_norm: 6.8000 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8560 loss: 0.8560 2022/08/05 03:33:13 - mmengine - INFO - Epoch(train) [184][820/1879] lr: 1.0000e-04 eta: 16:23:18 time: 0.4307 data_time: 0.0162 memory: 17087 grad_norm: 6.8617 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8116 loss: 0.8116 2022/08/05 03:33:22 - mmengine - INFO - Epoch(train) [184][840/1879] lr: 1.0000e-04 eta: 16:23:09 time: 0.4373 data_time: 0.0174 memory: 17087 grad_norm: 6.9677 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7377 loss: 0.7377 2022/08/05 03:33:31 - mmengine - INFO - Epoch(train) [184][860/1879] lr: 1.0000e-04 eta: 16:23:00 time: 0.4314 data_time: 0.0167 memory: 17087 grad_norm: 6.7394 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7292 loss: 0.7292 2022/08/05 03:33:39 - mmengine - INFO - Epoch(train) [184][880/1879] lr: 1.0000e-04 eta: 16:22:52 time: 0.4335 data_time: 0.0164 memory: 17087 grad_norm: 6.9888 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9274 loss: 0.9274 2022/08/05 03:33:48 - mmengine - INFO - Epoch(train) [184][900/1879] lr: 1.0000e-04 eta: 16:22:43 time: 0.4289 data_time: 0.0165 memory: 17087 grad_norm: 6.5453 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8133 loss: 0.8133 2022/08/05 03:33:56 - mmengine - INFO - Epoch(train) [184][920/1879] lr: 1.0000e-04 eta: 16:22:34 time: 0.4314 data_time: 0.0156 memory: 17087 grad_norm: 6.6443 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7982 loss: 0.7982 2022/08/05 03:34:06 - mmengine - INFO - Epoch(train) [184][940/1879] lr: 1.0000e-04 eta: 16:22:26 time: 0.4510 data_time: 0.0161 memory: 17087 grad_norm: 6.6885 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8012 loss: 0.8012 2022/08/05 03:34:14 - mmengine - INFO - Epoch(train) [184][960/1879] lr: 1.0000e-04 eta: 16:22:17 time: 0.4297 data_time: 0.0160 memory: 17087 grad_norm: 6.5141 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8485 loss: 0.8485 2022/08/05 03:34:23 - mmengine - INFO - Epoch(train) [184][980/1879] lr: 1.0000e-04 eta: 16:22:09 time: 0.4460 data_time: 0.0148 memory: 17087 grad_norm: 7.0359 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8667 loss: 0.8667 2022/08/05 03:34:32 - mmengine - INFO - Epoch(train) [184][1000/1879] lr: 1.0000e-04 eta: 16:22:00 time: 0.4290 data_time: 0.0160 memory: 17087 grad_norm: 6.6847 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8281 loss: 0.8281 2022/08/05 03:34:40 - mmengine - INFO - Epoch(train) [184][1020/1879] lr: 1.0000e-04 eta: 16:21:51 time: 0.4329 data_time: 0.0164 memory: 17087 grad_norm: 7.0222 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7842 loss: 0.7842 2022/08/05 03:34:49 - mmengine - INFO - Epoch(train) [184][1040/1879] lr: 1.0000e-04 eta: 16:21:43 time: 0.4306 data_time: 0.0198 memory: 17087 grad_norm: 6.9849 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9095 loss: 0.9095 2022/08/05 03:34:58 - mmengine - INFO - Epoch(train) [184][1060/1879] lr: 1.0000e-04 eta: 16:21:34 time: 0.4291 data_time: 0.0153 memory: 17087 grad_norm: 6.7180 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9640 loss: 0.9640 2022/08/05 03:35:07 - mmengine - INFO - Epoch(train) [184][1080/1879] lr: 1.0000e-04 eta: 16:21:25 time: 0.4455 data_time: 0.0189 memory: 17087 grad_norm: 6.8509 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8931 loss: 0.8931 2022/08/05 03:35:15 - mmengine - INFO - Epoch(train) [184][1100/1879] lr: 1.0000e-04 eta: 16:21:17 time: 0.4297 data_time: 0.0154 memory: 17087 grad_norm: 6.9598 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6997 loss: 0.6997 2022/08/05 03:35:24 - mmengine - INFO - Epoch(train) [184][1120/1879] lr: 1.0000e-04 eta: 16:21:08 time: 0.4475 data_time: 0.0177 memory: 17087 grad_norm: 6.6540 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7846 loss: 0.7846 2022/08/05 03:35:33 - mmengine - INFO - Epoch(train) [184][1140/1879] lr: 1.0000e-04 eta: 16:21:00 time: 0.4331 data_time: 0.0147 memory: 17087 grad_norm: 7.1319 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8190 loss: 0.8190 2022/08/05 03:35:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 03:35:42 - mmengine - INFO - Epoch(train) [184][1160/1879] lr: 1.0000e-04 eta: 16:20:51 time: 0.4548 data_time: 0.0167 memory: 17087 grad_norm: 6.9656 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9961 loss: 0.9961 2022/08/05 03:35:50 - mmengine - INFO - Epoch(train) [184][1180/1879] lr: 1.0000e-04 eta: 16:20:42 time: 0.4285 data_time: 0.0151 memory: 17087 grad_norm: 6.8731 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7162 loss: 0.7162 2022/08/05 03:36:00 - mmengine - INFO - Epoch(train) [184][1200/1879] lr: 1.0000e-04 eta: 16:20:34 time: 0.4532 data_time: 0.0151 memory: 17087 grad_norm: 7.1513 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8081 loss: 0.8081 2022/08/05 03:36:08 - mmengine - INFO - Epoch(train) [184][1220/1879] lr: 1.0000e-04 eta: 16:20:25 time: 0.4277 data_time: 0.0139 memory: 17087 grad_norm: 6.7942 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9172 loss: 0.9172 2022/08/05 03:36:17 - mmengine - INFO - Epoch(train) [184][1240/1879] lr: 1.0000e-04 eta: 16:20:17 time: 0.4306 data_time: 0.0161 memory: 17087 grad_norm: 7.0123 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8778 loss: 0.8778 2022/08/05 03:36:26 - mmengine - INFO - Epoch(train) [184][1260/1879] lr: 1.0000e-04 eta: 16:20:08 time: 0.4740 data_time: 0.0155 memory: 17087 grad_norm: 7.0962 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8986 loss: 0.8986 2022/08/05 03:36:35 - mmengine - INFO - Epoch(train) [184][1280/1879] lr: 1.0000e-04 eta: 16:20:00 time: 0.4301 data_time: 0.0159 memory: 17087 grad_norm: 6.7425 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7766 loss: 0.7766 2022/08/05 03:36:44 - mmengine - INFO - Epoch(train) [184][1300/1879] lr: 1.0000e-04 eta: 16:19:51 time: 0.4336 data_time: 0.0156 memory: 17087 grad_norm: 7.0522 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9382 loss: 0.9382 2022/08/05 03:36:52 - mmengine - INFO - Epoch(train) [184][1320/1879] lr: 1.0000e-04 eta: 16:19:42 time: 0.4299 data_time: 0.0152 memory: 17087 grad_norm: 6.7479 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9763 loss: 0.9763 2022/08/05 03:37:02 - mmengine - INFO - Epoch(train) [184][1340/1879] lr: 1.0000e-04 eta: 16:19:34 time: 0.4676 data_time: 0.0173 memory: 17087 grad_norm: 6.7378 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8764 loss: 0.8764 2022/08/05 03:37:10 - mmengine - INFO - Epoch(train) [184][1360/1879] lr: 1.0000e-04 eta: 16:19:25 time: 0.4296 data_time: 0.0176 memory: 17087 grad_norm: 6.8391 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7668 loss: 0.7668 2022/08/05 03:37:20 - mmengine - INFO - Epoch(train) [184][1380/1879] lr: 1.0000e-04 eta: 16:19:17 time: 0.4682 data_time: 0.0205 memory: 17087 grad_norm: 6.8991 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9012 loss: 0.9012 2022/08/05 03:37:28 - mmengine - INFO - Epoch(train) [184][1400/1879] lr: 1.0000e-04 eta: 16:19:08 time: 0.4314 data_time: 0.0184 memory: 17087 grad_norm: 6.7362 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8377 loss: 0.8377 2022/08/05 03:37:37 - mmengine - INFO - Epoch(train) [184][1420/1879] lr: 1.0000e-04 eta: 16:18:59 time: 0.4322 data_time: 0.0152 memory: 17087 grad_norm: 6.6939 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7894 loss: 0.7894 2022/08/05 03:37:46 - mmengine - INFO - Epoch(train) [184][1440/1879] lr: 1.0000e-04 eta: 16:18:51 time: 0.4673 data_time: 0.0171 memory: 17087 grad_norm: 6.6706 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7907 loss: 0.7907 2022/08/05 03:37:55 - mmengine - INFO - Epoch(train) [184][1460/1879] lr: 1.0000e-04 eta: 16:18:42 time: 0.4316 data_time: 0.0175 memory: 17087 grad_norm: 6.8568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8577 loss: 0.8577 2022/08/05 03:38:04 - mmengine - INFO - Epoch(train) [184][1480/1879] lr: 1.0000e-04 eta: 16:18:34 time: 0.4544 data_time: 0.0180 memory: 17087 grad_norm: 6.7798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7492 loss: 0.7492 2022/08/05 03:38:13 - mmengine - INFO - Epoch(train) [184][1500/1879] lr: 1.0000e-04 eta: 16:18:25 time: 0.4302 data_time: 0.0166 memory: 17087 grad_norm: 6.8830 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8764 loss: 0.8764 2022/08/05 03:38:22 - mmengine - INFO - Epoch(train) [184][1520/1879] lr: 1.0000e-04 eta: 16:18:17 time: 0.4746 data_time: 0.0179 memory: 17087 grad_norm: 6.9275 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9939 loss: 0.9939 2022/08/05 03:38:31 - mmengine - INFO - Epoch(train) [184][1540/1879] lr: 1.0000e-04 eta: 16:18:08 time: 0.4295 data_time: 0.0162 memory: 17087 grad_norm: 6.9607 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6817 loss: 0.6817 2022/08/05 03:38:40 - mmengine - INFO - Epoch(train) [184][1560/1879] lr: 1.0000e-04 eta: 16:18:00 time: 0.4683 data_time: 0.0171 memory: 17087 grad_norm: 7.1897 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8369 loss: 0.8369 2022/08/05 03:38:49 - mmengine - INFO - Epoch(train) [184][1580/1879] lr: 1.0000e-04 eta: 16:17:51 time: 0.4279 data_time: 0.0160 memory: 17087 grad_norm: 6.7200 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8149 loss: 0.8149 2022/08/05 03:38:57 - mmengine - INFO - Epoch(train) [184][1600/1879] lr: 1.0000e-04 eta: 16:17:43 time: 0.4279 data_time: 0.0153 memory: 17087 grad_norm: 6.9914 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8481 loss: 0.8481 2022/08/05 03:39:06 - mmengine - INFO - Epoch(train) [184][1620/1879] lr: 1.0000e-04 eta: 16:17:34 time: 0.4311 data_time: 0.0171 memory: 17087 grad_norm: 6.8491 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7510 loss: 0.7510 2022/08/05 03:39:15 - mmengine - INFO - Epoch(train) [184][1640/1879] lr: 1.0000e-04 eta: 16:17:25 time: 0.4293 data_time: 0.0154 memory: 17087 grad_norm: 7.0895 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9394 loss: 0.9394 2022/08/05 03:39:23 - mmengine - INFO - Epoch(train) [184][1660/1879] lr: 1.0000e-04 eta: 16:17:17 time: 0.4366 data_time: 0.0170 memory: 17087 grad_norm: 6.8085 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8486 loss: 0.8486 2022/08/05 03:39:32 - mmengine - INFO - Epoch(train) [184][1680/1879] lr: 1.0000e-04 eta: 16:17:08 time: 0.4296 data_time: 0.0160 memory: 17087 grad_norm: 7.0389 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9065 loss: 0.9065 2022/08/05 03:39:41 - mmengine - INFO - Epoch(train) [184][1700/1879] lr: 1.0000e-04 eta: 16:16:59 time: 0.4445 data_time: 0.0157 memory: 17087 grad_norm: 6.9889 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7756 loss: 0.7756 2022/08/05 03:39:49 - mmengine - INFO - Epoch(train) [184][1720/1879] lr: 1.0000e-04 eta: 16:16:51 time: 0.4290 data_time: 0.0154 memory: 17087 grad_norm: 6.7208 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7610 loss: 0.7610 2022/08/05 03:39:58 - mmengine - INFO - Epoch(train) [184][1740/1879] lr: 1.0000e-04 eta: 16:16:42 time: 0.4311 data_time: 0.0161 memory: 17087 grad_norm: 6.9954 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8923 loss: 0.8923 2022/08/05 03:40:08 - mmengine - INFO - Epoch(train) [184][1760/1879] lr: 1.0000e-04 eta: 16:16:34 time: 0.4914 data_time: 0.0192 memory: 17087 grad_norm: 6.8681 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9114 loss: 0.9114 2022/08/05 03:40:17 - mmengine - INFO - Epoch(train) [184][1780/1879] lr: 1.0000e-04 eta: 16:16:25 time: 0.4344 data_time: 0.0203 memory: 17087 grad_norm: 6.8168 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7046 loss: 0.7046 2022/08/05 03:40:26 - mmengine - INFO - Epoch(train) [184][1800/1879] lr: 1.0000e-04 eta: 16:16:17 time: 0.4548 data_time: 0.0174 memory: 17087 grad_norm: 6.8670 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8437 loss: 0.8437 2022/08/05 03:40:34 - mmengine - INFO - Epoch(train) [184][1820/1879] lr: 1.0000e-04 eta: 16:16:08 time: 0.4353 data_time: 0.0174 memory: 17087 grad_norm: 6.6951 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8082 loss: 0.8082 2022/08/05 03:40:43 - mmengine - INFO - Epoch(train) [184][1840/1879] lr: 1.0000e-04 eta: 16:15:59 time: 0.4403 data_time: 0.0168 memory: 17087 grad_norm: 6.7434 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7200 loss: 0.7200 2022/08/05 03:40:52 - mmengine - INFO - Epoch(train) [184][1860/1879] lr: 1.0000e-04 eta: 16:15:51 time: 0.4295 data_time: 0.0151 memory: 17087 grad_norm: 6.8558 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7998 loss: 0.7998 2022/08/05 03:41:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 03:41:01 - mmengine - INFO - Epoch(train) [184][1879/1879] lr: 1.0000e-04 eta: 16:15:51 time: 0.4611 data_time: 0.0193 memory: 17087 grad_norm: 6.9696 top1_acc: 0.5714 top5_acc: 0.7143 loss_cls: 0.8021 loss: 0.8021 2022/08/05 03:41:01 - mmengine - INFO - Saving checkpoint at 184 epochs 2022/08/05 03:41:15 - mmengine - INFO - Epoch(train) [185][20/1879] lr: 1.0000e-04 eta: 16:15:31 time: 0.5106 data_time: 0.0976 memory: 17087 grad_norm: 6.9155 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7349 loss: 0.7349 2022/08/05 03:41:24 - mmengine - INFO - Epoch(train) [185][40/1879] lr: 1.0000e-04 eta: 16:15:23 time: 0.4733 data_time: 0.0263 memory: 17087 grad_norm: 6.9960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9064 loss: 0.9064 2022/08/05 03:41:33 - mmengine - INFO - Epoch(train) [185][60/1879] lr: 1.0000e-04 eta: 16:15:14 time: 0.4284 data_time: 0.0142 memory: 17087 grad_norm: 6.7335 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.7890 loss: 0.7890 2022/08/05 03:41:42 - mmengine - INFO - Epoch(train) [185][80/1879] lr: 1.0000e-04 eta: 16:15:06 time: 0.4434 data_time: 0.0216 memory: 17087 grad_norm: 7.0845 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9129 loss: 0.9129 2022/08/05 03:41:50 - mmengine - INFO - Epoch(train) [185][100/1879] lr: 1.0000e-04 eta: 16:14:57 time: 0.4307 data_time: 0.0156 memory: 17087 grad_norm: 6.9916 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7522 loss: 0.7522 2022/08/05 03:41:59 - mmengine - INFO - Epoch(train) [185][120/1879] lr: 1.0000e-04 eta: 16:14:48 time: 0.4337 data_time: 0.0179 memory: 17087 grad_norm: 6.6965 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7569 loss: 0.7569 2022/08/05 03:42:08 - mmengine - INFO - Epoch(train) [185][140/1879] lr: 1.0000e-04 eta: 16:14:40 time: 0.4310 data_time: 0.0135 memory: 17087 grad_norm: 6.9489 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9727 loss: 0.9727 2022/08/05 03:42:16 - mmengine - INFO - Epoch(train) [185][160/1879] lr: 1.0000e-04 eta: 16:14:31 time: 0.4296 data_time: 0.0159 memory: 17087 grad_norm: 6.9797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7919 loss: 0.7919 2022/08/05 03:42:25 - mmengine - INFO - Epoch(train) [185][180/1879] lr: 1.0000e-04 eta: 16:14:22 time: 0.4501 data_time: 0.0209 memory: 17087 grad_norm: 6.9336 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8248 loss: 0.8248 2022/08/05 03:42:34 - mmengine - INFO - Epoch(train) [185][200/1879] lr: 1.0000e-04 eta: 16:14:14 time: 0.4358 data_time: 0.0172 memory: 17087 grad_norm: 6.8590 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8909 loss: 0.8909 2022/08/05 03:42:43 - mmengine - INFO - Epoch(train) [185][220/1879] lr: 1.0000e-04 eta: 16:14:05 time: 0.4304 data_time: 0.0130 memory: 17087 grad_norm: 6.8902 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8472 loss: 0.8472 2022/08/05 03:42:52 - mmengine - INFO - Epoch(train) [185][240/1879] lr: 1.0000e-04 eta: 16:13:57 time: 0.4447 data_time: 0.0165 memory: 17087 grad_norm: 6.7611 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8642 loss: 0.8642 2022/08/05 03:43:00 - mmengine - INFO - Epoch(train) [185][260/1879] lr: 1.0000e-04 eta: 16:13:48 time: 0.4322 data_time: 0.0152 memory: 17087 grad_norm: 6.8871 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9144 loss: 0.9144 2022/08/05 03:43:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 03:43:09 - mmengine - INFO - Epoch(train) [185][280/1879] lr: 1.0000e-04 eta: 16:13:39 time: 0.4375 data_time: 0.0225 memory: 17087 grad_norm: 6.8129 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0272 loss: 1.0272 2022/08/05 03:43:18 - mmengine - INFO - Epoch(train) [185][300/1879] lr: 1.0000e-04 eta: 16:13:31 time: 0.4290 data_time: 0.0145 memory: 17087 grad_norm: 6.6378 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9309 loss: 0.9309 2022/08/05 03:43:26 - mmengine - INFO - Epoch(train) [185][320/1879] lr: 1.0000e-04 eta: 16:13:22 time: 0.4436 data_time: 0.0166 memory: 17087 grad_norm: 6.6939 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8673 loss: 0.8673 2022/08/05 03:43:35 - mmengine - INFO - Epoch(train) [185][340/1879] lr: 1.0000e-04 eta: 16:13:13 time: 0.4309 data_time: 0.0159 memory: 17087 grad_norm: 6.9346 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0144 loss: 1.0144 2022/08/05 03:43:44 - mmengine - INFO - Epoch(train) [185][360/1879] lr: 1.0000e-04 eta: 16:13:05 time: 0.4345 data_time: 0.0183 memory: 17087 grad_norm: 6.9313 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9146 loss: 0.9146 2022/08/05 03:43:52 - mmengine - INFO - Epoch(train) [185][380/1879] lr: 1.0000e-04 eta: 16:12:56 time: 0.4302 data_time: 0.0144 memory: 17087 grad_norm: 6.9683 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7590 loss: 0.7590 2022/08/05 03:44:01 - mmengine - INFO - Epoch(train) [185][400/1879] lr: 1.0000e-04 eta: 16:12:47 time: 0.4386 data_time: 0.0171 memory: 17087 grad_norm: 6.9257 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9043 loss: 0.9043 2022/08/05 03:44:10 - mmengine - INFO - Epoch(train) [185][420/1879] lr: 1.0000e-04 eta: 16:12:39 time: 0.4311 data_time: 0.0148 memory: 17087 grad_norm: 6.8801 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7084 loss: 0.7084 2022/08/05 03:44:18 - mmengine - INFO - Epoch(train) [185][440/1879] lr: 1.0000e-04 eta: 16:12:30 time: 0.4293 data_time: 0.0161 memory: 17087 grad_norm: 6.8500 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6616 loss: 0.6616 2022/08/05 03:44:27 - mmengine - INFO - Epoch(train) [185][460/1879] lr: 1.0000e-04 eta: 16:12:21 time: 0.4310 data_time: 0.0151 memory: 17087 grad_norm: 6.7561 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8814 loss: 0.8814 2022/08/05 03:44:36 - mmengine - INFO - Epoch(train) [185][480/1879] lr: 1.0000e-04 eta: 16:12:13 time: 0.4336 data_time: 0.0164 memory: 17087 grad_norm: 6.8086 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7217 loss: 0.7217 2022/08/05 03:44:44 - mmengine - INFO - Epoch(train) [185][500/1879] lr: 1.0000e-04 eta: 16:12:04 time: 0.4334 data_time: 0.0146 memory: 17087 grad_norm: 6.7446 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8414 loss: 0.8414 2022/08/05 03:44:53 - mmengine - INFO - Epoch(train) [185][520/1879] lr: 1.0000e-04 eta: 16:11:56 time: 0.4345 data_time: 0.0191 memory: 17087 grad_norm: 6.9293 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8696 loss: 0.8696 2022/08/05 03:45:02 - mmengine - INFO - Epoch(train) [185][540/1879] lr: 1.0000e-04 eta: 16:11:47 time: 0.4302 data_time: 0.0165 memory: 17087 grad_norm: 6.8524 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8429 loss: 0.8429 2022/08/05 03:45:11 - mmengine - INFO - Epoch(train) [185][560/1879] lr: 1.0000e-04 eta: 16:11:38 time: 0.4333 data_time: 0.0181 memory: 17087 grad_norm: 6.8499 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7622 loss: 0.7622 2022/08/05 03:45:19 - mmengine - INFO - Epoch(train) [185][580/1879] lr: 1.0000e-04 eta: 16:11:30 time: 0.4361 data_time: 0.0161 memory: 17087 grad_norm: 6.7809 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8461 loss: 0.8461 2022/08/05 03:45:28 - mmengine - INFO - Epoch(train) [185][600/1879] lr: 1.0000e-04 eta: 16:11:21 time: 0.4501 data_time: 0.0195 memory: 17087 grad_norm: 6.8689 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9394 loss: 0.9394 2022/08/05 03:45:37 - mmengine - INFO - Epoch(train) [185][620/1879] lr: 1.0000e-04 eta: 16:11:12 time: 0.4312 data_time: 0.0153 memory: 17087 grad_norm: 6.9444 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9439 loss: 0.9439 2022/08/05 03:45:46 - mmengine - INFO - Epoch(train) [185][640/1879] lr: 1.0000e-04 eta: 16:11:04 time: 0.4434 data_time: 0.0241 memory: 17087 grad_norm: 6.7848 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7839 loss: 0.7839 2022/08/05 03:45:54 - mmengine - INFO - Epoch(train) [185][660/1879] lr: 1.0000e-04 eta: 16:10:55 time: 0.4284 data_time: 0.0144 memory: 17087 grad_norm: 7.1858 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8553 loss: 0.8553 2022/08/05 03:46:04 - mmengine - INFO - Epoch(train) [185][680/1879] lr: 1.0000e-04 eta: 16:10:47 time: 0.4709 data_time: 0.0186 memory: 17087 grad_norm: 6.6868 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9417 loss: 0.9417 2022/08/05 03:46:13 - mmengine - INFO - Epoch(train) [185][700/1879] lr: 1.0000e-04 eta: 16:10:38 time: 0.4276 data_time: 0.0144 memory: 17087 grad_norm: 6.7836 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8702 loss: 0.8702 2022/08/05 03:46:22 - mmengine - INFO - Epoch(train) [185][720/1879] lr: 1.0000e-04 eta: 16:10:30 time: 0.4793 data_time: 0.0233 memory: 17087 grad_norm: 6.7715 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9786 loss: 0.9786 2022/08/05 03:46:31 - mmengine - INFO - Epoch(train) [185][740/1879] lr: 1.0000e-04 eta: 16:10:21 time: 0.4302 data_time: 0.0147 memory: 17087 grad_norm: 6.8535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7904 loss: 0.7904 2022/08/05 03:46:39 - mmengine - INFO - Epoch(train) [185][760/1879] lr: 1.0000e-04 eta: 16:10:12 time: 0.4368 data_time: 0.0216 memory: 17087 grad_norm: 6.9427 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8847 loss: 0.8847 2022/08/05 03:46:48 - mmengine - INFO - Epoch(train) [185][780/1879] lr: 1.0000e-04 eta: 16:10:04 time: 0.4298 data_time: 0.0147 memory: 17087 grad_norm: 6.9017 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7661 loss: 0.7661 2022/08/05 03:46:57 - mmengine - INFO - Epoch(train) [185][800/1879] lr: 1.0000e-04 eta: 16:09:55 time: 0.4295 data_time: 0.0153 memory: 17087 grad_norm: 7.0034 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8470 loss: 0.8470 2022/08/05 03:47:06 - mmengine - INFO - Epoch(train) [185][820/1879] lr: 1.0000e-04 eta: 16:09:47 time: 0.4551 data_time: 0.0178 memory: 17087 grad_norm: 6.8135 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8637 loss: 0.8637 2022/08/05 03:47:14 - mmengine - INFO - Epoch(train) [185][840/1879] lr: 1.0000e-04 eta: 16:09:38 time: 0.4316 data_time: 0.0178 memory: 17087 grad_norm: 7.0389 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7180 loss: 0.7180 2022/08/05 03:47:23 - mmengine - INFO - Epoch(train) [185][860/1879] lr: 1.0000e-04 eta: 16:09:29 time: 0.4377 data_time: 0.0198 memory: 17087 grad_norm: 6.6574 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7923 loss: 0.7923 2022/08/05 03:47:32 - mmengine - INFO - Epoch(train) [185][880/1879] lr: 1.0000e-04 eta: 16:09:21 time: 0.4300 data_time: 0.0157 memory: 17087 grad_norm: 6.8856 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7734 loss: 0.7734 2022/08/05 03:47:41 - mmengine - INFO - Epoch(train) [185][900/1879] lr: 1.0000e-04 eta: 16:09:12 time: 0.4597 data_time: 0.0170 memory: 17087 grad_norm: 6.7147 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7872 loss: 0.7872 2022/08/05 03:47:50 - mmengine - INFO - Epoch(train) [185][920/1879] lr: 1.0000e-04 eta: 16:09:04 time: 0.4311 data_time: 0.0160 memory: 17087 grad_norm: 6.7115 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9911 loss: 0.9911 2022/08/05 03:47:58 - mmengine - INFO - Epoch(train) [185][940/1879] lr: 1.0000e-04 eta: 16:08:55 time: 0.4322 data_time: 0.0190 memory: 17087 grad_norm: 6.8659 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6756 loss: 0.6756 2022/08/05 03:48:08 - mmengine - INFO - Epoch(train) [185][960/1879] lr: 1.0000e-04 eta: 16:08:47 time: 0.4663 data_time: 0.0176 memory: 17087 grad_norm: 7.0592 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8711 loss: 0.8711 2022/08/05 03:48:16 - mmengine - INFO - Epoch(train) [185][980/1879] lr: 1.0000e-04 eta: 16:08:38 time: 0.4344 data_time: 0.0149 memory: 17087 grad_norm: 6.8239 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8034 loss: 0.8034 2022/08/05 03:48:25 - mmengine - INFO - Epoch(train) [185][1000/1879] lr: 1.0000e-04 eta: 16:08:29 time: 0.4318 data_time: 0.0174 memory: 17087 grad_norm: 6.7462 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7658 loss: 0.7658 2022/08/05 03:48:34 - mmengine - INFO - Epoch(train) [185][1020/1879] lr: 1.0000e-04 eta: 16:08:21 time: 0.4476 data_time: 0.0152 memory: 17087 grad_norm: 6.6258 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7392 loss: 0.7392 2022/08/05 03:48:43 - mmengine - INFO - Epoch(train) [185][1040/1879] lr: 1.0000e-04 eta: 16:08:12 time: 0.4373 data_time: 0.0225 memory: 17087 grad_norm: 6.9672 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8515 loss: 0.8515 2022/08/05 03:48:52 - mmengine - INFO - Epoch(train) [185][1060/1879] lr: 1.0000e-04 eta: 16:08:04 time: 0.4526 data_time: 0.0165 memory: 17087 grad_norm: 6.6904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7662 loss: 0.7662 2022/08/05 03:49:00 - mmengine - INFO - Epoch(train) [185][1080/1879] lr: 1.0000e-04 eta: 16:07:55 time: 0.4297 data_time: 0.0164 memory: 17087 grad_norm: 6.7518 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6584 loss: 0.6584 2022/08/05 03:49:09 - mmengine - INFO - Epoch(train) [185][1100/1879] lr: 1.0000e-04 eta: 16:07:46 time: 0.4294 data_time: 0.0155 memory: 17087 grad_norm: 7.0352 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8753 loss: 0.8753 2022/08/05 03:49:18 - mmengine - INFO - Epoch(train) [185][1120/1879] lr: 1.0000e-04 eta: 16:07:38 time: 0.4381 data_time: 0.0173 memory: 17087 grad_norm: 6.7937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9378 loss: 0.9378 2022/08/05 03:49:27 - mmengine - INFO - Epoch(train) [185][1140/1879] lr: 1.0000e-04 eta: 16:07:29 time: 0.4347 data_time: 0.0220 memory: 17087 grad_norm: 7.0998 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9454 loss: 0.9454 2022/08/05 03:49:35 - mmengine - INFO - Epoch(train) [185][1160/1879] lr: 1.0000e-04 eta: 16:07:20 time: 0.4343 data_time: 0.0168 memory: 17087 grad_norm: 6.8144 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9113 loss: 0.9113 2022/08/05 03:49:44 - mmengine - INFO - Epoch(train) [185][1180/1879] lr: 1.0000e-04 eta: 16:07:12 time: 0.4328 data_time: 0.0152 memory: 17087 grad_norm: 6.7900 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8518 loss: 0.8518 2022/08/05 03:49:53 - mmengine - INFO - Epoch(train) [185][1200/1879] lr: 1.0000e-04 eta: 16:07:03 time: 0.4546 data_time: 0.0177 memory: 17087 grad_norm: 6.9763 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9675 loss: 0.9675 2022/08/05 03:50:02 - mmengine - INFO - Epoch(train) [185][1220/1879] lr: 1.0000e-04 eta: 16:06:55 time: 0.4318 data_time: 0.0163 memory: 17087 grad_norm: 6.8789 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7438 loss: 0.7438 2022/08/05 03:50:10 - mmengine - INFO - Epoch(train) [185][1240/1879] lr: 1.0000e-04 eta: 16:06:46 time: 0.4391 data_time: 0.0172 memory: 17087 grad_norm: 6.5862 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8210 loss: 0.8210 2022/08/05 03:50:19 - mmengine - INFO - Epoch(train) [185][1260/1879] lr: 1.0000e-04 eta: 16:06:37 time: 0.4303 data_time: 0.0154 memory: 17087 grad_norm: 6.8219 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8014 loss: 0.8014 2022/08/05 03:50:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 03:50:28 - mmengine - INFO - Epoch(train) [185][1280/1879] lr: 1.0000e-04 eta: 16:06:29 time: 0.4319 data_time: 0.0167 memory: 17087 grad_norm: 6.8360 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8670 loss: 0.8670 2022/08/05 03:50:36 - mmengine - INFO - Epoch(train) [185][1300/1879] lr: 1.0000e-04 eta: 16:06:20 time: 0.4344 data_time: 0.0148 memory: 17087 grad_norm: 6.9820 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9281 loss: 0.9281 2022/08/05 03:50:45 - mmengine - INFO - Epoch(train) [185][1320/1879] lr: 1.0000e-04 eta: 16:06:11 time: 0.4350 data_time: 0.0183 memory: 17087 grad_norm: 7.0485 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7695 loss: 0.7695 2022/08/05 03:50:54 - mmengine - INFO - Epoch(train) [185][1340/1879] lr: 1.0000e-04 eta: 16:06:03 time: 0.4324 data_time: 0.0158 memory: 17087 grad_norm: 6.7018 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9084 loss: 0.9084 2022/08/05 03:51:02 - mmengine - INFO - Epoch(train) [185][1360/1879] lr: 1.0000e-04 eta: 16:05:54 time: 0.4297 data_time: 0.0153 memory: 17087 grad_norm: 6.6555 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8264 loss: 0.8264 2022/08/05 03:51:11 - mmengine - INFO - Epoch(train) [185][1380/1879] lr: 1.0000e-04 eta: 16:05:45 time: 0.4352 data_time: 0.0163 memory: 17087 grad_norm: 6.6732 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9029 loss: 0.9029 2022/08/05 03:51:20 - mmengine - INFO - Epoch(train) [185][1400/1879] lr: 1.0000e-04 eta: 16:05:37 time: 0.4300 data_time: 0.0153 memory: 17087 grad_norm: 6.7981 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9707 loss: 0.9707 2022/08/05 03:51:28 - mmengine - INFO - Epoch(train) [185][1420/1879] lr: 1.0000e-04 eta: 16:05:28 time: 0.4290 data_time: 0.0145 memory: 17087 grad_norm: 6.8006 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9102 loss: 0.9102 2022/08/05 03:51:38 - mmengine - INFO - Epoch(train) [185][1440/1879] lr: 1.0000e-04 eta: 16:05:19 time: 0.4538 data_time: 0.0161 memory: 17087 grad_norm: 6.9508 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9957 loss: 0.9957 2022/08/05 03:51:46 - mmengine - INFO - Epoch(train) [185][1460/1879] lr: 1.0000e-04 eta: 16:05:11 time: 0.4296 data_time: 0.0165 memory: 17087 grad_norm: 7.0175 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7420 loss: 0.7420 2022/08/05 03:51:55 - mmengine - INFO - Epoch(train) [185][1480/1879] lr: 1.0000e-04 eta: 16:05:02 time: 0.4452 data_time: 0.0209 memory: 17087 grad_norm: 6.8799 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9613 loss: 0.9613 2022/08/05 03:52:04 - mmengine - INFO - Epoch(train) [185][1500/1879] lr: 1.0000e-04 eta: 16:04:54 time: 0.4329 data_time: 0.0150 memory: 17087 grad_norm: 7.2020 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9440 loss: 0.9440 2022/08/05 03:52:13 - mmengine - INFO - Epoch(train) [185][1520/1879] lr: 1.0000e-04 eta: 16:04:45 time: 0.4521 data_time: 0.0155 memory: 17087 grad_norm: 6.9771 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8550 loss: 0.8550 2022/08/05 03:52:21 - mmengine - INFO - Epoch(train) [185][1540/1879] lr: 1.0000e-04 eta: 16:04:36 time: 0.4323 data_time: 0.0161 memory: 17087 grad_norm: 6.9285 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9079 loss: 0.9079 2022/08/05 03:52:30 - mmengine - INFO - Epoch(train) [185][1560/1879] lr: 1.0000e-04 eta: 16:04:28 time: 0.4297 data_time: 0.0151 memory: 17087 grad_norm: 6.9907 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7529 loss: 0.7529 2022/08/05 03:52:39 - mmengine - INFO - Epoch(train) [185][1580/1879] lr: 1.0000e-04 eta: 16:04:19 time: 0.4283 data_time: 0.0140 memory: 17087 grad_norm: 6.8347 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8370 loss: 0.8370 2022/08/05 03:52:48 - mmengine - INFO - Epoch(train) [185][1600/1879] lr: 1.0000e-04 eta: 16:04:10 time: 0.4429 data_time: 0.0191 memory: 17087 grad_norm: 6.9283 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7508 loss: 0.7508 2022/08/05 03:52:56 - mmengine - INFO - Epoch(train) [185][1620/1879] lr: 1.0000e-04 eta: 16:04:02 time: 0.4274 data_time: 0.0141 memory: 17087 grad_norm: 6.9954 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8923 loss: 0.8923 2022/08/05 03:53:05 - mmengine - INFO - Epoch(train) [185][1640/1879] lr: 1.0000e-04 eta: 16:03:53 time: 0.4358 data_time: 0.0165 memory: 17087 grad_norm: 6.5728 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8327 loss: 0.8327 2022/08/05 03:53:13 - mmengine - INFO - Epoch(train) [185][1660/1879] lr: 1.0000e-04 eta: 16:03:44 time: 0.4303 data_time: 0.0149 memory: 17087 grad_norm: 7.0063 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8302 loss: 0.8302 2022/08/05 03:53:22 - mmengine - INFO - Epoch(train) [185][1680/1879] lr: 1.0000e-04 eta: 16:03:36 time: 0.4333 data_time: 0.0164 memory: 17087 grad_norm: 6.9179 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7721 loss: 0.7721 2022/08/05 03:53:31 - mmengine - INFO - Epoch(train) [185][1700/1879] lr: 1.0000e-04 eta: 16:03:27 time: 0.4362 data_time: 0.0183 memory: 17087 grad_norm: 6.8756 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9770 loss: 0.9770 2022/08/05 03:53:40 - mmengine - INFO - Epoch(train) [185][1720/1879] lr: 1.0000e-04 eta: 16:03:19 time: 0.4304 data_time: 0.0160 memory: 17087 grad_norm: 6.8194 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7891 loss: 0.7891 2022/08/05 03:53:48 - mmengine - INFO - Epoch(train) [185][1740/1879] lr: 1.0000e-04 eta: 16:03:10 time: 0.4324 data_time: 0.0141 memory: 17087 grad_norm: 6.9907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7505 loss: 0.7505 2022/08/05 03:53:57 - mmengine - INFO - Epoch(train) [185][1760/1879] lr: 1.0000e-04 eta: 16:03:01 time: 0.4325 data_time: 0.0193 memory: 17087 grad_norm: 6.8868 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6384 loss: 0.6384 2022/08/05 03:54:06 - mmengine - INFO - Epoch(train) [185][1780/1879] lr: 1.0000e-04 eta: 16:02:53 time: 0.4400 data_time: 0.0176 memory: 17087 grad_norm: 6.7267 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8094 loss: 0.8094 2022/08/05 03:54:14 - mmengine - INFO - Epoch(train) [185][1800/1879] lr: 1.0000e-04 eta: 16:02:44 time: 0.4346 data_time: 0.0223 memory: 17087 grad_norm: 6.6149 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9474 loss: 0.9474 2022/08/05 03:54:24 - mmengine - INFO - Epoch(train) [185][1820/1879] lr: 1.0000e-04 eta: 16:02:36 time: 0.4578 data_time: 0.0161 memory: 17087 grad_norm: 7.1227 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7738 loss: 0.7738 2022/08/05 03:54:32 - mmengine - INFO - Epoch(train) [185][1840/1879] lr: 1.0000e-04 eta: 16:02:27 time: 0.4360 data_time: 0.0208 memory: 17087 grad_norm: 7.0332 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9181 loss: 0.9181 2022/08/05 03:54:41 - mmengine - INFO - Epoch(train) [185][1860/1879] lr: 1.0000e-04 eta: 16:02:18 time: 0.4555 data_time: 0.0148 memory: 17087 grad_norm: 6.9855 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7411 loss: 0.7411 2022/08/05 03:54:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 03:54:49 - mmengine - INFO - Epoch(train) [185][1879/1879] lr: 1.0000e-04 eta: 16:02:18 time: 0.4105 data_time: 0.0165 memory: 17087 grad_norm: 6.8517 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8106 loss: 0.8106 2022/08/05 03:54:56 - mmengine - INFO - Epoch(val) [185][20/155] eta: 0:00:48 time: 0.3608 data_time: 0.1900 memory: 2821 2022/08/05 03:55:02 - mmengine - INFO - Epoch(val) [185][40/155] eta: 0:00:28 time: 0.2443 data_time: 0.0769 memory: 2821 2022/08/05 03:55:08 - mmengine - INFO - Epoch(val) [185][60/155] eta: 0:00:29 time: 0.3099 data_time: 0.1437 memory: 2821 2022/08/05 03:55:13 - mmengine - INFO - Epoch(val) [185][80/155] eta: 0:00:19 time: 0.2647 data_time: 0.0900 memory: 2821 2022/08/05 03:55:19 - mmengine - INFO - Epoch(val) [185][100/155] eta: 0:00:16 time: 0.3078 data_time: 0.1397 memory: 2821 2022/08/05 03:55:25 - mmengine - INFO - Epoch(val) [185][120/155] eta: 0:00:09 time: 0.2851 data_time: 0.1197 memory: 2821 2022/08/05 03:55:31 - mmengine - INFO - Epoch(val) [185][140/155] eta: 0:00:04 time: 0.3275 data_time: 0.1589 memory: 2821 2022/08/05 03:55:36 - mmengine - INFO - Epoch(val) [185][155/155] acc/top1: 0.6981 acc/top5: 0.8808 acc/mean1: 0.6980 2022/08/05 03:55:48 - mmengine - INFO - Epoch(train) [186][20/1879] lr: 1.0000e-04 eta: 16:02:00 time: 0.5968 data_time: 0.1334 memory: 17087 grad_norm: 6.8724 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7214 loss: 0.7214 2022/08/05 03:55:58 - mmengine - INFO - Epoch(train) [186][40/1879] lr: 1.0000e-04 eta: 16:01:51 time: 0.4636 data_time: 0.0214 memory: 17087 grad_norm: 6.6599 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7640 loss: 0.7640 2022/08/05 03:56:06 - mmengine - INFO - Epoch(train) [186][60/1879] lr: 1.0000e-04 eta: 16:01:43 time: 0.4302 data_time: 0.0150 memory: 17087 grad_norm: 6.6392 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8908 loss: 0.8908 2022/08/05 03:56:15 - mmengine - INFO - Epoch(train) [186][80/1879] lr: 1.0000e-04 eta: 16:01:34 time: 0.4560 data_time: 0.0166 memory: 17087 grad_norm: 6.7393 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8413 loss: 0.8413 2022/08/05 03:56:24 - mmengine - INFO - Epoch(train) [186][100/1879] lr: 1.0000e-04 eta: 16:01:25 time: 0.4295 data_time: 0.0145 memory: 17087 grad_norm: 6.7177 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8202 loss: 0.8202 2022/08/05 03:56:33 - mmengine - INFO - Epoch(train) [186][120/1879] lr: 1.0000e-04 eta: 16:01:17 time: 0.4522 data_time: 0.0215 memory: 17087 grad_norm: 6.6323 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6973 loss: 0.6973 2022/08/05 03:56:42 - mmengine - INFO - Epoch(train) [186][140/1879] lr: 1.0000e-04 eta: 16:01:08 time: 0.4285 data_time: 0.0147 memory: 17087 grad_norm: 7.0047 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7828 loss: 0.7828 2022/08/05 03:56:51 - mmengine - INFO - Epoch(train) [186][160/1879] lr: 1.0000e-04 eta: 16:01:00 time: 0.4609 data_time: 0.0218 memory: 17087 grad_norm: 6.9716 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.1008 loss: 1.1008 2022/08/05 03:56:59 - mmengine - INFO - Epoch(train) [186][180/1879] lr: 1.0000e-04 eta: 16:00:51 time: 0.4281 data_time: 0.0137 memory: 17087 grad_norm: 6.8714 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9271 loss: 0.9271 2022/08/05 03:57:08 - mmengine - INFO - Epoch(train) [186][200/1879] lr: 1.0000e-04 eta: 16:00:42 time: 0.4294 data_time: 0.0175 memory: 17087 grad_norm: 6.8209 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8581 loss: 0.8581 2022/08/05 03:57:17 - mmengine - INFO - Epoch(train) [186][220/1879] lr: 1.0000e-04 eta: 16:00:34 time: 0.4508 data_time: 0.0217 memory: 17087 grad_norm: 7.0426 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8146 loss: 0.8146 2022/08/05 03:57:26 - mmengine - INFO - Epoch(train) [186][240/1879] lr: 1.0000e-04 eta: 16:00:25 time: 0.4307 data_time: 0.0170 memory: 17087 grad_norm: 6.9379 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8364 loss: 0.8364 2022/08/05 03:57:35 - mmengine - INFO - Epoch(train) [186][260/1879] lr: 1.0000e-04 eta: 16:00:17 time: 0.4728 data_time: 0.0185 memory: 17087 grad_norm: 6.6316 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8877 loss: 0.8877 2022/08/05 03:57:44 - mmengine - INFO - Epoch(train) [186][280/1879] lr: 1.0000e-04 eta: 16:00:08 time: 0.4300 data_time: 0.0158 memory: 17087 grad_norm: 6.7492 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9496 loss: 0.9496 2022/08/05 03:57:53 - mmengine - INFO - Epoch(train) [186][300/1879] lr: 1.0000e-04 eta: 16:00:00 time: 0.4536 data_time: 0.0222 memory: 17087 grad_norm: 6.9440 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8211 loss: 0.8211 2022/08/05 03:58:02 - mmengine - INFO - Epoch(train) [186][320/1879] lr: 1.0000e-04 eta: 15:59:51 time: 0.4330 data_time: 0.0151 memory: 17087 grad_norm: 6.8523 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7717 loss: 0.7717 2022/08/05 03:58:10 - mmengine - INFO - Epoch(train) [186][340/1879] lr: 1.0000e-04 eta: 15:59:42 time: 0.4296 data_time: 0.0150 memory: 17087 grad_norm: 7.0714 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0529 loss: 1.0529 2022/08/05 03:58:19 - mmengine - INFO - Epoch(train) [186][360/1879] lr: 1.0000e-04 eta: 15:59:34 time: 0.4430 data_time: 0.0276 memory: 17087 grad_norm: 6.5708 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7182 loss: 0.7182 2022/08/05 03:58:28 - mmengine - INFO - Epoch(train) [186][380/1879] lr: 1.0000e-04 eta: 15:59:25 time: 0.4280 data_time: 0.0148 memory: 17087 grad_norm: 6.8360 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7689 loss: 0.7689 2022/08/05 03:58:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 03:58:37 - mmengine - INFO - Epoch(train) [186][400/1879] lr: 1.0000e-04 eta: 15:59:17 time: 0.4590 data_time: 0.0203 memory: 17087 grad_norm: 6.9431 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8074 loss: 0.8074 2022/08/05 03:58:46 - mmengine - INFO - Epoch(train) [186][420/1879] lr: 1.0000e-04 eta: 15:59:08 time: 0.4278 data_time: 0.0149 memory: 17087 grad_norm: 6.8990 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8003 loss: 0.8003 2022/08/05 03:58:54 - mmengine - INFO - Epoch(train) [186][440/1879] lr: 1.0000e-04 eta: 15:58:59 time: 0.4468 data_time: 0.0219 memory: 17087 grad_norm: 6.8007 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9983 loss: 0.9983 2022/08/05 03:59:03 - mmengine - INFO - Epoch(train) [186][460/1879] lr: 1.0000e-04 eta: 15:58:51 time: 0.4330 data_time: 0.0141 memory: 17087 grad_norm: 6.7746 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8718 loss: 0.8718 2022/08/05 03:59:12 - mmengine - INFO - Epoch(train) [186][480/1879] lr: 1.0000e-04 eta: 15:58:42 time: 0.4630 data_time: 0.0174 memory: 17087 grad_norm: 6.7831 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8023 loss: 0.8023 2022/08/05 03:59:21 - mmengine - INFO - Epoch(train) [186][500/1879] lr: 1.0000e-04 eta: 15:58:34 time: 0.4285 data_time: 0.0177 memory: 17087 grad_norm: 6.9716 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7708 loss: 0.7708 2022/08/05 03:59:30 - mmengine - INFO - Epoch(train) [186][520/1879] lr: 1.0000e-04 eta: 15:58:25 time: 0.4349 data_time: 0.0210 memory: 17087 grad_norm: 6.8674 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7934 loss: 0.7934 2022/08/05 03:59:39 - mmengine - INFO - Epoch(train) [186][540/1879] lr: 1.0000e-04 eta: 15:58:16 time: 0.4478 data_time: 0.0121 memory: 17087 grad_norm: 6.6937 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9539 loss: 0.9539 2022/08/05 03:59:47 - mmengine - INFO - Epoch(train) [186][560/1879] lr: 1.0000e-04 eta: 15:58:08 time: 0.4345 data_time: 0.0158 memory: 17087 grad_norm: 6.7518 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9011 loss: 0.9011 2022/08/05 03:59:57 - mmengine - INFO - Epoch(train) [186][580/1879] lr: 1.0000e-04 eta: 15:57:59 time: 0.4558 data_time: 0.0177 memory: 17087 grad_norm: 6.8309 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7664 loss: 0.7664 2022/08/05 04:00:05 - mmengine - INFO - Epoch(train) [186][600/1879] lr: 1.0000e-04 eta: 15:57:51 time: 0.4322 data_time: 0.0173 memory: 17087 grad_norm: 6.5592 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6786 loss: 0.6786 2022/08/05 04:00:14 - mmengine - INFO - Epoch(train) [186][620/1879] lr: 1.0000e-04 eta: 15:57:42 time: 0.4606 data_time: 0.0152 memory: 17087 grad_norm: 6.7309 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8640 loss: 0.8640 2022/08/05 04:00:23 - mmengine - INFO - Epoch(train) [186][640/1879] lr: 1.0000e-04 eta: 15:57:34 time: 0.4324 data_time: 0.0191 memory: 17087 grad_norm: 6.8363 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9357 loss: 0.9357 2022/08/05 04:00:32 - mmengine - INFO - Epoch(train) [186][660/1879] lr: 1.0000e-04 eta: 15:57:25 time: 0.4623 data_time: 0.0193 memory: 17087 grad_norm: 7.0179 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8715 loss: 0.8715 2022/08/05 04:00:41 - mmengine - INFO - Epoch(train) [186][680/1879] lr: 1.0000e-04 eta: 15:57:17 time: 0.4350 data_time: 0.0203 memory: 17087 grad_norm: 6.8391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8102 loss: 0.8102 2022/08/05 04:00:50 - mmengine - INFO - Epoch(train) [186][700/1879] lr: 1.0000e-04 eta: 15:57:08 time: 0.4290 data_time: 0.0155 memory: 17087 grad_norm: 6.6857 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8070 loss: 0.8070 2022/08/05 04:00:59 - mmengine - INFO - Epoch(train) [186][720/1879] lr: 1.0000e-04 eta: 15:56:59 time: 0.4515 data_time: 0.0177 memory: 17087 grad_norm: 6.9667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0722 loss: 1.0722 2022/08/05 04:01:07 - mmengine - INFO - Epoch(train) [186][740/1879] lr: 1.0000e-04 eta: 15:56:51 time: 0.4312 data_time: 0.0133 memory: 17087 grad_norm: 6.9254 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7562 loss: 0.7562 2022/08/05 04:01:17 - mmengine - INFO - Epoch(train) [186][760/1879] lr: 1.0000e-04 eta: 15:56:42 time: 0.4558 data_time: 0.0171 memory: 17087 grad_norm: 6.7199 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8202 loss: 0.8202 2022/08/05 04:01:25 - mmengine - INFO - Epoch(train) [186][780/1879] lr: 1.0000e-04 eta: 15:56:34 time: 0.4309 data_time: 0.0165 memory: 17087 grad_norm: 6.9498 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8858 loss: 0.8858 2022/08/05 04:01:34 - mmengine - INFO - Epoch(train) [186][800/1879] lr: 1.0000e-04 eta: 15:56:25 time: 0.4652 data_time: 0.0221 memory: 17087 grad_norm: 6.8603 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9084 loss: 0.9084 2022/08/05 04:01:43 - mmengine - INFO - Epoch(train) [186][820/1879] lr: 1.0000e-04 eta: 15:56:16 time: 0.4324 data_time: 0.0153 memory: 17087 grad_norm: 6.7715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7820 loss: 0.7820 2022/08/05 04:01:53 - mmengine - INFO - Epoch(train) [186][840/1879] lr: 1.0000e-04 eta: 15:56:08 time: 0.4708 data_time: 0.0199 memory: 17087 grad_norm: 7.0042 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8823 loss: 0.8823 2022/08/05 04:02:01 - mmengine - INFO - Epoch(train) [186][860/1879] lr: 1.0000e-04 eta: 15:55:59 time: 0.4296 data_time: 0.0150 memory: 17087 grad_norm: 6.8369 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9983 loss: 0.9983 2022/08/05 04:02:10 - mmengine - INFO - Epoch(train) [186][880/1879] lr: 1.0000e-04 eta: 15:55:51 time: 0.4316 data_time: 0.0165 memory: 17087 grad_norm: 6.5033 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6340 loss: 0.6340 2022/08/05 04:02:19 - mmengine - INFO - Epoch(train) [186][900/1879] lr: 1.0000e-04 eta: 15:55:42 time: 0.4530 data_time: 0.0176 memory: 17087 grad_norm: 6.7395 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7997 loss: 0.7997 2022/08/05 04:02:28 - mmengine - INFO - Epoch(train) [186][920/1879] lr: 1.0000e-04 eta: 15:55:34 time: 0.4312 data_time: 0.0182 memory: 17087 grad_norm: 6.8220 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8474 loss: 0.8474 2022/08/05 04:02:37 - mmengine - INFO - Epoch(train) [186][940/1879] lr: 1.0000e-04 eta: 15:55:25 time: 0.4630 data_time: 0.0169 memory: 17087 grad_norm: 6.9471 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7161 loss: 0.7161 2022/08/05 04:02:45 - mmengine - INFO - Epoch(train) [186][960/1879] lr: 1.0000e-04 eta: 15:55:16 time: 0.4306 data_time: 0.0170 memory: 17087 grad_norm: 6.7408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7337 loss: 0.7337 2022/08/05 04:02:54 - mmengine - INFO - Epoch(train) [186][980/1879] lr: 1.0000e-04 eta: 15:55:08 time: 0.4354 data_time: 0.0168 memory: 17087 grad_norm: 7.0491 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8310 loss: 0.8310 2022/08/05 04:03:03 - mmengine - INFO - Epoch(train) [186][1000/1879] lr: 1.0000e-04 eta: 15:54:59 time: 0.4304 data_time: 0.0162 memory: 17087 grad_norm: 7.0103 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9258 loss: 0.9258 2022/08/05 04:03:12 - mmengine - INFO - Epoch(train) [186][1020/1879] lr: 1.0000e-04 eta: 15:54:51 time: 0.4406 data_time: 0.0137 memory: 17087 grad_norm: 6.9694 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9675 loss: 0.9675 2022/08/05 04:03:20 - mmengine - INFO - Epoch(train) [186][1040/1879] lr: 1.0000e-04 eta: 15:54:42 time: 0.4311 data_time: 0.0156 memory: 17087 grad_norm: 6.6524 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8088 loss: 0.8088 2022/08/05 04:03:29 - mmengine - INFO - Epoch(train) [186][1060/1879] lr: 1.0000e-04 eta: 15:54:33 time: 0.4271 data_time: 0.0137 memory: 17087 grad_norm: 6.5527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9280 loss: 0.9280 2022/08/05 04:03:38 - mmengine - INFO - Epoch(train) [186][1080/1879] lr: 1.0000e-04 eta: 15:54:25 time: 0.4494 data_time: 0.0193 memory: 17087 grad_norm: 6.9606 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7722 loss: 0.7722 2022/08/05 04:03:46 - mmengine - INFO - Epoch(train) [186][1100/1879] lr: 1.0000e-04 eta: 15:54:16 time: 0.4286 data_time: 0.0150 memory: 17087 grad_norm: 6.9081 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9079 loss: 0.9079 2022/08/05 04:03:55 - mmengine - INFO - Epoch(train) [186][1120/1879] lr: 1.0000e-04 eta: 15:54:07 time: 0.4481 data_time: 0.0207 memory: 17087 grad_norm: 7.0926 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8672 loss: 0.8672 2022/08/05 04:04:04 - mmengine - INFO - Epoch(train) [186][1140/1879] lr: 1.0000e-04 eta: 15:53:59 time: 0.4338 data_time: 0.0197 memory: 17087 grad_norm: 6.9411 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7625 loss: 0.7625 2022/08/05 04:04:13 - mmengine - INFO - Epoch(train) [186][1160/1879] lr: 1.0000e-04 eta: 15:53:50 time: 0.4358 data_time: 0.0172 memory: 17087 grad_norm: 6.8467 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8940 loss: 0.8940 2022/08/05 04:04:21 - mmengine - INFO - Epoch(train) [186][1180/1879] lr: 1.0000e-04 eta: 15:53:41 time: 0.4285 data_time: 0.0162 memory: 17087 grad_norm: 6.9104 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7765 loss: 0.7765 2022/08/05 04:04:30 - mmengine - INFO - Epoch(train) [186][1200/1879] lr: 1.0000e-04 eta: 15:53:33 time: 0.4313 data_time: 0.0159 memory: 17087 grad_norm: 6.5711 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7786 loss: 0.7786 2022/08/05 04:04:40 - mmengine - INFO - Epoch(train) [186][1220/1879] lr: 1.0000e-04 eta: 15:53:24 time: 0.4718 data_time: 0.0175 memory: 17087 grad_norm: 6.9931 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7544 loss: 0.7544 2022/08/05 04:04:48 - mmengine - INFO - Epoch(train) [186][1240/1879] lr: 1.0000e-04 eta: 15:53:16 time: 0.4324 data_time: 0.0164 memory: 17087 grad_norm: 6.6240 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7983 loss: 0.7983 2022/08/05 04:04:57 - mmengine - INFO - Epoch(train) [186][1260/1879] lr: 1.0000e-04 eta: 15:53:07 time: 0.4554 data_time: 0.0163 memory: 17087 grad_norm: 6.8252 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9151 loss: 0.9151 2022/08/05 04:05:06 - mmengine - INFO - Epoch(train) [186][1280/1879] lr: 1.0000e-04 eta: 15:52:59 time: 0.4336 data_time: 0.0185 memory: 17087 grad_norm: 6.9218 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7149 loss: 0.7149 2022/08/05 04:05:15 - mmengine - INFO - Epoch(train) [186][1300/1879] lr: 1.0000e-04 eta: 15:52:50 time: 0.4515 data_time: 0.0160 memory: 17087 grad_norm: 7.0421 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8625 loss: 0.8625 2022/08/05 04:05:24 - mmengine - INFO - Epoch(train) [186][1320/1879] lr: 1.0000e-04 eta: 15:52:42 time: 0.4401 data_time: 0.0194 memory: 17087 grad_norm: 6.6786 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8337 loss: 0.8337 2022/08/05 04:05:33 - mmengine - INFO - Epoch(train) [186][1340/1879] lr: 1.0000e-04 eta: 15:52:33 time: 0.4291 data_time: 0.0148 memory: 17087 grad_norm: 6.9270 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8713 loss: 0.8713 2022/08/05 04:05:41 - mmengine - INFO - Epoch(train) [186][1360/1879] lr: 1.0000e-04 eta: 15:52:24 time: 0.4324 data_time: 0.0174 memory: 17087 grad_norm: 6.7275 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9210 loss: 0.9210 2022/08/05 04:05:50 - mmengine - INFO - Epoch(train) [186][1380/1879] lr: 1.0000e-04 eta: 15:52:16 time: 0.4303 data_time: 0.0132 memory: 17087 grad_norm: 7.1995 top1_acc: 0.3750 top5_acc: 0.6250 loss_cls: 0.8359 loss: 0.8359 2022/08/05 04:05:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 04:05:59 - mmengine - INFO - Epoch(train) [186][1400/1879] lr: 1.0000e-04 eta: 15:52:07 time: 0.4360 data_time: 0.0167 memory: 17087 grad_norm: 6.8540 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8519 loss: 0.8519 2022/08/05 04:06:07 - mmengine - INFO - Epoch(train) [186][1420/1879] lr: 1.0000e-04 eta: 15:51:58 time: 0.4446 data_time: 0.0166 memory: 17087 grad_norm: 6.9345 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9168 loss: 0.9168 2022/08/05 04:06:16 - mmengine - INFO - Epoch(train) [186][1440/1879] lr: 1.0000e-04 eta: 15:51:50 time: 0.4324 data_time: 0.0173 memory: 17087 grad_norm: 6.7313 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7748 loss: 0.7748 2022/08/05 04:06:25 - mmengine - INFO - Epoch(train) [186][1460/1879] lr: 1.0000e-04 eta: 15:51:41 time: 0.4454 data_time: 0.0158 memory: 17087 grad_norm: 6.8799 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9910 loss: 0.9910 2022/08/05 04:06:34 - mmengine - INFO - Epoch(train) [186][1480/1879] lr: 1.0000e-04 eta: 15:51:33 time: 0.4374 data_time: 0.0178 memory: 17087 grad_norm: 6.7503 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9613 loss: 0.9613 2022/08/05 04:06:42 - mmengine - INFO - Epoch(train) [186][1500/1879] lr: 1.0000e-04 eta: 15:51:24 time: 0.4288 data_time: 0.0146 memory: 17087 grad_norm: 6.9118 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8182 loss: 0.8182 2022/08/05 04:06:51 - mmengine - INFO - Epoch(train) [186][1520/1879] lr: 1.0000e-04 eta: 15:51:15 time: 0.4378 data_time: 0.0202 memory: 17087 grad_norm: 6.9222 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8708 loss: 0.8708 2022/08/05 04:07:00 - mmengine - INFO - Epoch(train) [186][1540/1879] lr: 1.0000e-04 eta: 15:51:07 time: 0.4276 data_time: 0.0158 memory: 17087 grad_norm: 6.6632 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8318 loss: 0.8318 2022/08/05 04:07:09 - mmengine - INFO - Epoch(train) [186][1560/1879] lr: 1.0000e-04 eta: 15:50:58 time: 0.4408 data_time: 0.0213 memory: 17087 grad_norm: 6.8957 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9129 loss: 0.9129 2022/08/05 04:07:17 - mmengine - INFO - Epoch(train) [186][1580/1879] lr: 1.0000e-04 eta: 15:50:49 time: 0.4296 data_time: 0.0150 memory: 17087 grad_norm: 6.9555 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6931 loss: 0.6931 2022/08/05 04:07:26 - mmengine - INFO - Epoch(train) [186][1600/1879] lr: 1.0000e-04 eta: 15:50:41 time: 0.4354 data_time: 0.0181 memory: 17087 grad_norm: 6.8492 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7859 loss: 0.7859 2022/08/05 04:07:35 - mmengine - INFO - Epoch(train) [186][1620/1879] lr: 1.0000e-04 eta: 15:50:32 time: 0.4296 data_time: 0.0144 memory: 17087 grad_norm: 6.8641 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9593 loss: 0.9593 2022/08/05 04:07:44 - mmengine - INFO - Epoch(train) [186][1640/1879] lr: 1.0000e-04 eta: 15:50:23 time: 0.4498 data_time: 0.0189 memory: 17087 grad_norm: 6.8152 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8300 loss: 0.8300 2022/08/05 04:07:52 - mmengine - INFO - Epoch(train) [186][1660/1879] lr: 1.0000e-04 eta: 15:50:15 time: 0.4296 data_time: 0.0137 memory: 17087 grad_norm: 7.0533 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7420 loss: 0.7420 2022/08/05 04:08:01 - mmengine - INFO - Epoch(train) [186][1680/1879] lr: 1.0000e-04 eta: 15:50:06 time: 0.4294 data_time: 0.0164 memory: 17087 grad_norm: 7.0441 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0255 loss: 1.0255 2022/08/05 04:08:10 - mmengine - INFO - Epoch(train) [186][1700/1879] lr: 1.0000e-04 eta: 15:49:57 time: 0.4452 data_time: 0.0163 memory: 17087 grad_norm: 6.7118 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7389 loss: 0.7389 2022/08/05 04:08:18 - mmengine - INFO - Epoch(train) [186][1720/1879] lr: 1.0000e-04 eta: 15:49:49 time: 0.4299 data_time: 0.0162 memory: 17087 grad_norm: 6.6888 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7990 loss: 0.7990 2022/08/05 04:08:28 - mmengine - INFO - Epoch(train) [186][1740/1879] lr: 1.0000e-04 eta: 15:49:40 time: 0.4601 data_time: 0.0145 memory: 17087 grad_norm: 6.8409 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8548 loss: 0.8548 2022/08/05 04:08:36 - mmengine - INFO - Epoch(train) [186][1760/1879] lr: 1.0000e-04 eta: 15:49:32 time: 0.4323 data_time: 0.0199 memory: 17087 grad_norm: 6.8798 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8081 loss: 0.8081 2022/08/05 04:08:45 - mmengine - INFO - Epoch(train) [186][1780/1879] lr: 1.0000e-04 eta: 15:49:23 time: 0.4326 data_time: 0.0156 memory: 17087 grad_norm: 6.7233 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8234 loss: 0.8234 2022/08/05 04:08:54 - mmengine - INFO - Epoch(train) [186][1800/1879] lr: 1.0000e-04 eta: 15:49:14 time: 0.4316 data_time: 0.0165 memory: 17087 grad_norm: 6.8899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6948 loss: 0.6948 2022/08/05 04:09:02 - mmengine - INFO - Epoch(train) [186][1820/1879] lr: 1.0000e-04 eta: 15:49:06 time: 0.4391 data_time: 0.0169 memory: 17087 grad_norm: 6.9753 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0065 loss: 1.0065 2022/08/05 04:09:11 - mmengine - INFO - Epoch(train) [186][1840/1879] lr: 1.0000e-04 eta: 15:48:57 time: 0.4300 data_time: 0.0161 memory: 17087 grad_norm: 7.1282 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0025 loss: 1.0025 2022/08/05 04:09:20 - mmengine - INFO - Epoch(train) [186][1860/1879] lr: 1.0000e-04 eta: 15:48:48 time: 0.4350 data_time: 0.0148 memory: 17087 grad_norm: 7.0779 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8988 loss: 0.8988 2022/08/05 04:09:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 04:09:28 - mmengine - INFO - Epoch(train) [186][1879/1879] lr: 1.0000e-04 eta: 15:48:48 time: 0.4142 data_time: 0.0149 memory: 17087 grad_norm: 6.8994 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8234 loss: 0.8234 2022/08/05 04:09:39 - mmengine - INFO - Epoch(train) [187][20/1879] lr: 1.0000e-04 eta: 15:48:29 time: 0.5654 data_time: 0.1270 memory: 17087 grad_norm: 6.8525 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8656 loss: 0.8656 2022/08/05 04:09:48 - mmengine - INFO - Epoch(train) [187][40/1879] lr: 1.0000e-04 eta: 15:48:21 time: 0.4369 data_time: 0.0163 memory: 17087 grad_norm: 6.6328 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8385 loss: 0.8385 2022/08/05 04:09:56 - mmengine - INFO - Epoch(train) [187][60/1879] lr: 1.0000e-04 eta: 15:48:12 time: 0.4297 data_time: 0.0143 memory: 17087 grad_norm: 6.5953 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7350 loss: 0.7350 2022/08/05 04:10:05 - mmengine - INFO - Epoch(train) [187][80/1879] lr: 1.0000e-04 eta: 15:48:04 time: 0.4381 data_time: 0.0228 memory: 17087 grad_norm: 6.9521 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6766 loss: 0.6766 2022/08/05 04:10:14 - mmengine - INFO - Epoch(train) [187][100/1879] lr: 1.0000e-04 eta: 15:47:55 time: 0.4285 data_time: 0.0148 memory: 17087 grad_norm: 6.6206 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8524 loss: 0.8524 2022/08/05 04:10:22 - mmengine - INFO - Epoch(train) [187][120/1879] lr: 1.0000e-04 eta: 15:47:46 time: 0.4380 data_time: 0.0184 memory: 17087 grad_norm: 6.9596 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8197 loss: 0.8197 2022/08/05 04:10:31 - mmengine - INFO - Epoch(train) [187][140/1879] lr: 1.0000e-04 eta: 15:47:38 time: 0.4288 data_time: 0.0142 memory: 17087 grad_norm: 6.6799 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6897 loss: 0.6897 2022/08/05 04:10:40 - mmengine - INFO - Epoch(train) [187][160/1879] lr: 1.0000e-04 eta: 15:47:29 time: 0.4337 data_time: 0.0197 memory: 17087 grad_norm: 6.7298 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7472 loss: 0.7472 2022/08/05 04:10:48 - mmengine - INFO - Epoch(train) [187][180/1879] lr: 1.0000e-04 eta: 15:47:20 time: 0.4293 data_time: 0.0131 memory: 17087 grad_norm: 6.8786 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8545 loss: 0.8545 2022/08/05 04:10:57 - mmengine - INFO - Epoch(train) [187][200/1879] lr: 1.0000e-04 eta: 15:47:12 time: 0.4359 data_time: 0.0186 memory: 17087 grad_norm: 6.8769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7830 loss: 0.7830 2022/08/05 04:11:06 - mmengine - INFO - Epoch(train) [187][220/1879] lr: 1.0000e-04 eta: 15:47:03 time: 0.4304 data_time: 0.0146 memory: 17087 grad_norm: 6.7684 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9290 loss: 0.9290 2022/08/05 04:11:15 - mmengine - INFO - Epoch(train) [187][240/1879] lr: 1.0000e-04 eta: 15:46:54 time: 0.4434 data_time: 0.0174 memory: 17087 grad_norm: 6.7044 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8615 loss: 0.8615 2022/08/05 04:11:23 - mmengine - INFO - Epoch(train) [187][260/1879] lr: 1.0000e-04 eta: 15:46:46 time: 0.4309 data_time: 0.0158 memory: 17087 grad_norm: 6.6371 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8295 loss: 0.8295 2022/08/05 04:11:32 - mmengine - INFO - Epoch(train) [187][280/1879] lr: 1.0000e-04 eta: 15:46:37 time: 0.4385 data_time: 0.0164 memory: 17087 grad_norm: 6.5699 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7903 loss: 0.7903 2022/08/05 04:11:41 - mmengine - INFO - Epoch(train) [187][300/1879] lr: 1.0000e-04 eta: 15:46:28 time: 0.4286 data_time: 0.0138 memory: 17087 grad_norm: 6.7101 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8143 loss: 0.8143 2022/08/05 04:11:49 - mmengine - INFO - Epoch(train) [187][320/1879] lr: 1.0000e-04 eta: 15:46:20 time: 0.4301 data_time: 0.0162 memory: 17087 grad_norm: 6.7814 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7482 loss: 0.7482 2022/08/05 04:11:58 - mmengine - INFO - Epoch(train) [187][340/1879] lr: 1.0000e-04 eta: 15:46:11 time: 0.4346 data_time: 0.0154 memory: 17087 grad_norm: 6.9394 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7128 loss: 0.7128 2022/08/05 04:12:07 - mmengine - INFO - Epoch(train) [187][360/1879] lr: 1.0000e-04 eta: 15:46:02 time: 0.4314 data_time: 0.0174 memory: 17087 grad_norm: 6.8703 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7708 loss: 0.7708 2022/08/05 04:12:15 - mmengine - INFO - Epoch(train) [187][380/1879] lr: 1.0000e-04 eta: 15:45:54 time: 0.4329 data_time: 0.0160 memory: 17087 grad_norm: 6.8491 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0594 loss: 1.0594 2022/08/05 04:12:24 - mmengine - INFO - Epoch(train) [187][400/1879] lr: 1.0000e-04 eta: 15:45:45 time: 0.4315 data_time: 0.0171 memory: 17087 grad_norm: 6.7990 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7277 loss: 0.7277 2022/08/05 04:12:33 - mmengine - INFO - Epoch(train) [187][420/1879] lr: 1.0000e-04 eta: 15:45:37 time: 0.4609 data_time: 0.0137 memory: 17087 grad_norm: 6.4823 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8453 loss: 0.8453 2022/08/05 04:12:42 - mmengine - INFO - Epoch(train) [187][440/1879] lr: 1.0000e-04 eta: 15:45:28 time: 0.4315 data_time: 0.0161 memory: 17087 grad_norm: 6.9617 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7893 loss: 0.7893 2022/08/05 04:12:50 - mmengine - INFO - Epoch(train) [187][460/1879] lr: 1.0000e-04 eta: 15:45:19 time: 0.4291 data_time: 0.0143 memory: 17087 grad_norm: 6.8392 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7298 loss: 0.7298 2022/08/05 04:13:00 - mmengine - INFO - Epoch(train) [187][480/1879] lr: 1.0000e-04 eta: 15:45:11 time: 0.4665 data_time: 0.0170 memory: 17087 grad_norm: 6.6521 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7809 loss: 0.7809 2022/08/05 04:13:08 - mmengine - INFO - Epoch(train) [187][500/1879] lr: 1.0000e-04 eta: 15:45:02 time: 0.4291 data_time: 0.0139 memory: 17087 grad_norm: 6.7847 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8385 loss: 0.8385 2022/08/05 04:13:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 04:13:17 - mmengine - INFO - Epoch(train) [187][520/1879] lr: 1.0000e-04 eta: 15:44:54 time: 0.4320 data_time: 0.0191 memory: 17087 grad_norm: 6.7260 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9212 loss: 0.9212 2022/08/05 04:13:26 - mmengine - INFO - Epoch(train) [187][540/1879] lr: 1.0000e-04 eta: 15:44:45 time: 0.4340 data_time: 0.0166 memory: 17087 grad_norm: 6.9802 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9131 loss: 0.9131 2022/08/05 04:13:35 - mmengine - INFO - Epoch(train) [187][560/1879] lr: 1.0000e-04 eta: 15:44:37 time: 0.4700 data_time: 0.0184 memory: 17087 grad_norm: 6.9236 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8100 loss: 0.8100 2022/08/05 04:13:44 - mmengine - INFO - Epoch(train) [187][580/1879] lr: 1.0000e-04 eta: 15:44:28 time: 0.4300 data_time: 0.0139 memory: 17087 grad_norm: 7.1672 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9373 loss: 0.9373 2022/08/05 04:13:53 - mmengine - INFO - Epoch(train) [187][600/1879] lr: 1.0000e-04 eta: 15:44:19 time: 0.4501 data_time: 0.0179 memory: 17087 grad_norm: 6.5879 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7198 loss: 0.7198 2022/08/05 04:14:01 - mmengine - INFO - Epoch(train) [187][620/1879] lr: 1.0000e-04 eta: 15:44:11 time: 0.4281 data_time: 0.0133 memory: 17087 grad_norm: 7.0348 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8867 loss: 0.8867 2022/08/05 04:14:10 - mmengine - INFO - Epoch(train) [187][640/1879] lr: 1.0000e-04 eta: 15:44:02 time: 0.4286 data_time: 0.0154 memory: 17087 grad_norm: 6.8454 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8896 loss: 0.8896 2022/08/05 04:14:19 - mmengine - INFO - Epoch(train) [187][660/1879] lr: 1.0000e-04 eta: 15:43:53 time: 0.4451 data_time: 0.0166 memory: 17087 grad_norm: 6.8961 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0084 loss: 1.0084 2022/08/05 04:14:28 - mmengine - INFO - Epoch(train) [187][680/1879] lr: 1.0000e-04 eta: 15:43:45 time: 0.4321 data_time: 0.0172 memory: 17087 grad_norm: 7.1197 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9697 loss: 0.9697 2022/08/05 04:14:36 - mmengine - INFO - Epoch(train) [187][700/1879] lr: 1.0000e-04 eta: 15:43:36 time: 0.4430 data_time: 0.0150 memory: 17087 grad_norm: 6.7519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9339 loss: 0.9339 2022/08/05 04:14:45 - mmengine - INFO - Epoch(train) [187][720/1879] lr: 1.0000e-04 eta: 15:43:28 time: 0.4311 data_time: 0.0169 memory: 17087 grad_norm: 6.7345 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8800 loss: 0.8800 2022/08/05 04:14:54 - mmengine - INFO - Epoch(train) [187][740/1879] lr: 1.0000e-04 eta: 15:43:19 time: 0.4583 data_time: 0.0152 memory: 17087 grad_norm: 6.7237 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7528 loss: 0.7528 2022/08/05 04:15:03 - mmengine - INFO - Epoch(train) [187][760/1879] lr: 1.0000e-04 eta: 15:43:10 time: 0.4314 data_time: 0.0180 memory: 17087 grad_norm: 6.8654 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9733 loss: 0.9733 2022/08/05 04:15:12 - mmengine - INFO - Epoch(train) [187][780/1879] lr: 1.0000e-04 eta: 15:43:02 time: 0.4281 data_time: 0.0147 memory: 17087 grad_norm: 7.1371 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8816 loss: 0.8816 2022/08/05 04:15:21 - mmengine - INFO - Epoch(train) [187][800/1879] lr: 1.0000e-04 eta: 15:42:53 time: 0.4693 data_time: 0.0171 memory: 17087 grad_norm: 6.8327 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0276 loss: 1.0276 2022/08/05 04:15:29 - mmengine - INFO - Epoch(train) [187][820/1879] lr: 1.0000e-04 eta: 15:42:45 time: 0.4279 data_time: 0.0156 memory: 17087 grad_norm: 6.9059 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7578 loss: 0.7578 2022/08/05 04:15:38 - mmengine - INFO - Epoch(train) [187][840/1879] lr: 1.0000e-04 eta: 15:42:36 time: 0.4337 data_time: 0.0180 memory: 17087 grad_norm: 6.7899 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8358 loss: 0.8358 2022/08/05 04:15:47 - mmengine - INFO - Epoch(train) [187][860/1879] lr: 1.0000e-04 eta: 15:42:27 time: 0.4322 data_time: 0.0158 memory: 17087 grad_norm: 6.9201 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7837 loss: 0.7837 2022/08/05 04:15:56 - mmengine - INFO - Epoch(train) [187][880/1879] lr: 1.0000e-04 eta: 15:42:19 time: 0.4641 data_time: 0.0177 memory: 17087 grad_norm: 6.8470 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8635 loss: 0.8635 2022/08/05 04:16:05 - mmengine - INFO - Epoch(train) [187][900/1879] lr: 1.0000e-04 eta: 15:42:10 time: 0.4311 data_time: 0.0153 memory: 17087 grad_norm: 6.9156 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7184 loss: 0.7184 2022/08/05 04:16:14 - mmengine - INFO - Epoch(train) [187][920/1879] lr: 1.0000e-04 eta: 15:42:02 time: 0.4396 data_time: 0.0173 memory: 17087 grad_norm: 6.7864 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0716 loss: 1.0716 2022/08/05 04:16:22 - mmengine - INFO - Epoch(train) [187][940/1879] lr: 1.0000e-04 eta: 15:41:53 time: 0.4294 data_time: 0.0158 memory: 17087 grad_norm: 6.6631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7701 loss: 0.7701 2022/08/05 04:16:31 - mmengine - INFO - Epoch(train) [187][960/1879] lr: 1.0000e-04 eta: 15:41:44 time: 0.4301 data_time: 0.0155 memory: 17087 grad_norm: 6.8699 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9573 loss: 0.9573 2022/08/05 04:16:40 - mmengine - INFO - Epoch(train) [187][980/1879] lr: 1.0000e-04 eta: 15:41:36 time: 0.4641 data_time: 0.0156 memory: 17087 grad_norm: 6.7563 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8697 loss: 0.8697 2022/08/05 04:16:49 - mmengine - INFO - Epoch(train) [187][1000/1879] lr: 1.0000e-04 eta: 15:41:27 time: 0.4315 data_time: 0.0178 memory: 17087 grad_norm: 6.8586 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8031 loss: 0.8031 2022/08/05 04:16:57 - mmengine - INFO - Epoch(train) [187][1020/1879] lr: 1.0000e-04 eta: 15:41:19 time: 0.4337 data_time: 0.0184 memory: 17087 grad_norm: 6.7276 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8652 loss: 0.8652 2022/08/05 04:17:06 - mmengine - INFO - Epoch(train) [187][1040/1879] lr: 1.0000e-04 eta: 15:41:10 time: 0.4300 data_time: 0.0160 memory: 17087 grad_norm: 7.1516 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8040 loss: 0.8040 2022/08/05 04:17:15 - mmengine - INFO - Epoch(train) [187][1060/1879] lr: 1.0000e-04 eta: 15:41:01 time: 0.4560 data_time: 0.0147 memory: 17087 grad_norm: 6.6317 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9502 loss: 0.9502 2022/08/05 04:17:24 - mmengine - INFO - Epoch(train) [187][1080/1879] lr: 1.0000e-04 eta: 15:40:53 time: 0.4306 data_time: 0.0160 memory: 17087 grad_norm: 7.0706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7292 loss: 0.7292 2022/08/05 04:17:33 - mmengine - INFO - Epoch(train) [187][1100/1879] lr: 1.0000e-04 eta: 15:40:44 time: 0.4339 data_time: 0.0118 memory: 17087 grad_norm: 6.7756 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8346 loss: 0.8346 2022/08/05 04:17:41 - mmengine - INFO - Epoch(train) [187][1120/1879] lr: 1.0000e-04 eta: 15:40:35 time: 0.4296 data_time: 0.0167 memory: 17087 grad_norm: 6.5789 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8753 loss: 0.8753 2022/08/05 04:17:50 - mmengine - INFO - Epoch(train) [187][1140/1879] lr: 1.0000e-04 eta: 15:40:27 time: 0.4317 data_time: 0.0151 memory: 17087 grad_norm: 6.9993 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6863 loss: 0.6863 2022/08/05 04:17:59 - mmengine - INFO - Epoch(train) [187][1160/1879] lr: 1.0000e-04 eta: 15:40:18 time: 0.4639 data_time: 0.0170 memory: 17087 grad_norm: 7.2129 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7796 loss: 0.7796 2022/08/05 04:18:08 - mmengine - INFO - Epoch(train) [187][1180/1879] lr: 1.0000e-04 eta: 15:40:10 time: 0.4301 data_time: 0.0155 memory: 17087 grad_norm: 6.8593 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8931 loss: 0.8931 2022/08/05 04:18:17 - mmengine - INFO - Epoch(train) [187][1200/1879] lr: 1.0000e-04 eta: 15:40:01 time: 0.4541 data_time: 0.0167 memory: 17087 grad_norm: 6.6919 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8225 loss: 0.8225 2022/08/05 04:18:25 - mmengine - INFO - Epoch(train) [187][1220/1879] lr: 1.0000e-04 eta: 15:39:52 time: 0.4304 data_time: 0.0149 memory: 17087 grad_norm: 6.9085 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6384 loss: 0.6384 2022/08/05 04:18:34 - mmengine - INFO - Epoch(train) [187][1240/1879] lr: 1.0000e-04 eta: 15:39:44 time: 0.4378 data_time: 0.0168 memory: 17087 grad_norm: 6.9052 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7841 loss: 0.7841 2022/08/05 04:18:43 - mmengine - INFO - Epoch(train) [187][1260/1879] lr: 1.0000e-04 eta: 15:39:35 time: 0.4290 data_time: 0.0164 memory: 17087 grad_norm: 7.1953 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8527 loss: 0.8527 2022/08/05 04:18:51 - mmengine - INFO - Epoch(train) [187][1280/1879] lr: 1.0000e-04 eta: 15:39:26 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 7.0590 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9792 loss: 0.9792 2022/08/05 04:19:01 - mmengine - INFO - Epoch(train) [187][1300/1879] lr: 1.0000e-04 eta: 15:39:18 time: 0.4611 data_time: 0.0166 memory: 17087 grad_norm: 6.8751 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9140 loss: 0.9140 2022/08/05 04:19:09 - mmengine - INFO - Epoch(train) [187][1320/1879] lr: 1.0000e-04 eta: 15:39:09 time: 0.4308 data_time: 0.0167 memory: 17087 grad_norm: 6.8130 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8010 loss: 0.8010 2022/08/05 04:19:18 - mmengine - INFO - Epoch(train) [187][1340/1879] lr: 1.0000e-04 eta: 15:39:01 time: 0.4349 data_time: 0.0150 memory: 17087 grad_norm: 6.8656 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9416 loss: 0.9416 2022/08/05 04:19:27 - mmengine - INFO - Epoch(train) [187][1360/1879] lr: 1.0000e-04 eta: 15:38:52 time: 0.4368 data_time: 0.0164 memory: 17087 grad_norm: 6.8818 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8185 loss: 0.8185 2022/08/05 04:19:36 - mmengine - INFO - Epoch(train) [187][1380/1879] lr: 1.0000e-04 eta: 15:38:44 time: 0.4552 data_time: 0.0140 memory: 17087 grad_norm: 6.8140 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8033 loss: 0.8033 2022/08/05 04:19:45 - mmengine - INFO - Epoch(train) [187][1400/1879] lr: 1.0000e-04 eta: 15:38:35 time: 0.4362 data_time: 0.0170 memory: 17087 grad_norm: 6.8617 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8107 loss: 0.8107 2022/08/05 04:19:53 - mmengine - INFO - Epoch(train) [187][1420/1879] lr: 1.0000e-04 eta: 15:38:26 time: 0.4326 data_time: 0.0155 memory: 17087 grad_norm: 6.8932 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7555 loss: 0.7555 2022/08/05 04:20:02 - mmengine - INFO - Epoch(train) [187][1440/1879] lr: 1.0000e-04 eta: 15:38:18 time: 0.4312 data_time: 0.0165 memory: 17087 grad_norm: 6.8367 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8174 loss: 0.8174 2022/08/05 04:20:11 - mmengine - INFO - Epoch(train) [187][1460/1879] lr: 1.0000e-04 eta: 15:38:09 time: 0.4382 data_time: 0.0144 memory: 17087 grad_norm: 7.0641 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8278 loss: 0.8278 2022/08/05 04:20:20 - mmengine - INFO - Epoch(train) [187][1480/1879] lr: 1.0000e-04 eta: 15:38:00 time: 0.4306 data_time: 0.0160 memory: 17087 grad_norm: 6.8273 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9043 loss: 0.9043 2022/08/05 04:20:28 - mmengine - INFO - Epoch(train) [187][1500/1879] lr: 1.0000e-04 eta: 15:37:52 time: 0.4386 data_time: 0.0212 memory: 17087 grad_norm: 7.1032 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8898 loss: 0.8898 2022/08/05 04:20:31 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 04:20:37 - mmengine - INFO - Epoch(train) [187][1520/1879] lr: 1.0000e-04 eta: 15:37:43 time: 0.4311 data_time: 0.0169 memory: 17087 grad_norm: 6.5705 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8132 loss: 0.8132 2022/08/05 04:20:46 - mmengine - INFO - Epoch(train) [187][1540/1879] lr: 1.0000e-04 eta: 15:37:35 time: 0.4600 data_time: 0.0162 memory: 17087 grad_norm: 6.9210 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8068 loss: 0.8068 2022/08/05 04:20:55 - mmengine - INFO - Epoch(train) [187][1560/1879] lr: 1.0000e-04 eta: 15:37:26 time: 0.4317 data_time: 0.0163 memory: 17087 grad_norm: 6.7527 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7854 loss: 0.7854 2022/08/05 04:21:04 - mmengine - INFO - Epoch(train) [187][1580/1879] lr: 1.0000e-04 eta: 15:37:17 time: 0.4575 data_time: 0.0198 memory: 17087 grad_norm: 7.0647 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7328 loss: 0.7328 2022/08/05 04:21:13 - mmengine - INFO - Epoch(train) [187][1600/1879] lr: 1.0000e-04 eta: 15:37:09 time: 0.4333 data_time: 0.0158 memory: 17087 grad_norm: 6.8736 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8873 loss: 0.8873 2022/08/05 04:21:21 - mmengine - INFO - Epoch(train) [187][1620/1879] lr: 1.0000e-04 eta: 15:37:00 time: 0.4348 data_time: 0.0179 memory: 17087 grad_norm: 6.7366 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8542 loss: 0.8542 2022/08/05 04:21:30 - mmengine - INFO - Epoch(train) [187][1640/1879] lr: 1.0000e-04 eta: 15:36:52 time: 0.4331 data_time: 0.0172 memory: 17087 grad_norm: 6.6446 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7984 loss: 0.7984 2022/08/05 04:21:39 - mmengine - INFO - Epoch(train) [187][1660/1879] lr: 1.0000e-04 eta: 15:36:43 time: 0.4271 data_time: 0.0138 memory: 17087 grad_norm: 6.9911 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7907 loss: 0.7907 2022/08/05 04:21:47 - mmengine - INFO - Epoch(train) [187][1680/1879] lr: 1.0000e-04 eta: 15:36:34 time: 0.4366 data_time: 0.0175 memory: 17087 grad_norm: 6.8242 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0196 loss: 1.0196 2022/08/05 04:21:56 - mmengine - INFO - Epoch(train) [187][1700/1879] lr: 1.0000e-04 eta: 15:36:26 time: 0.4305 data_time: 0.0146 memory: 17087 grad_norm: 6.9196 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8472 loss: 0.8472 2022/08/05 04:22:05 - mmengine - INFO - Epoch(train) [187][1720/1879] lr: 1.0000e-04 eta: 15:36:17 time: 0.4519 data_time: 0.0172 memory: 17087 grad_norm: 7.1501 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9011 loss: 0.9011 2022/08/05 04:22:14 - mmengine - INFO - Epoch(train) [187][1740/1879] lr: 1.0000e-04 eta: 15:36:08 time: 0.4272 data_time: 0.0146 memory: 17087 grad_norm: 7.1128 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9700 loss: 0.9700 2022/08/05 04:22:22 - mmengine - INFO - Epoch(train) [187][1760/1879] lr: 1.0000e-04 eta: 15:36:00 time: 0.4361 data_time: 0.0218 memory: 17087 grad_norm: 7.1256 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0054 loss: 1.0054 2022/08/05 04:22:31 - mmengine - INFO - Epoch(train) [187][1780/1879] lr: 1.0000e-04 eta: 15:35:51 time: 0.4359 data_time: 0.0148 memory: 17087 grad_norm: 6.9917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8365 loss: 0.8365 2022/08/05 04:22:40 - mmengine - INFO - Epoch(train) [187][1800/1879] lr: 1.0000e-04 eta: 15:35:42 time: 0.4308 data_time: 0.0168 memory: 17087 grad_norm: 7.0541 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8066 loss: 0.8066 2022/08/05 04:22:49 - mmengine - INFO - Epoch(train) [187][1820/1879] lr: 1.0000e-04 eta: 15:35:34 time: 0.4665 data_time: 0.0164 memory: 17087 grad_norm: 6.8611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8371 loss: 0.8371 2022/08/05 04:22:58 - mmengine - INFO - Epoch(train) [187][1840/1879] lr: 1.0000e-04 eta: 15:35:25 time: 0.4316 data_time: 0.0168 memory: 17087 grad_norm: 6.6979 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9985 loss: 0.9985 2022/08/05 04:23:07 - mmengine - INFO - Epoch(train) [187][1860/1879] lr: 1.0000e-04 eta: 15:35:17 time: 0.4519 data_time: 0.0204 memory: 17087 grad_norm: 6.5402 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6936 loss: 0.6936 2022/08/05 04:23:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 04:23:15 - mmengine - INFO - Epoch(train) [187][1879/1879] lr: 1.0000e-04 eta: 15:35:17 time: 0.4113 data_time: 0.0148 memory: 17087 grad_norm: 7.4502 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9885 loss: 0.9885 2022/08/05 04:23:26 - mmengine - INFO - Epoch(train) [188][20/1879] lr: 1.0000e-04 eta: 15:34:58 time: 0.5582 data_time: 0.0983 memory: 17087 grad_norm: 6.9314 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8191 loss: 0.8191 2022/08/05 04:23:35 - mmengine - INFO - Epoch(train) [188][40/1879] lr: 1.0000e-04 eta: 15:34:49 time: 0.4609 data_time: 0.0187 memory: 17087 grad_norm: 6.6553 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6050 loss: 0.6050 2022/08/05 04:23:44 - mmengine - INFO - Epoch(train) [188][60/1879] lr: 1.0000e-04 eta: 15:34:41 time: 0.4318 data_time: 0.0159 memory: 17087 grad_norm: 6.8071 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9843 loss: 0.9843 2022/08/05 04:23:52 - mmengine - INFO - Epoch(train) [188][80/1879] lr: 1.0000e-04 eta: 15:34:32 time: 0.4292 data_time: 0.0160 memory: 17087 grad_norm: 7.1715 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7701 loss: 0.7701 2022/08/05 04:24:01 - mmengine - INFO - Epoch(train) [188][100/1879] lr: 1.0000e-04 eta: 15:34:23 time: 0.4341 data_time: 0.0130 memory: 17087 grad_norm: 6.9016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8983 loss: 0.8983 2022/08/05 04:24:10 - mmengine - INFO - Epoch(train) [188][120/1879] lr: 1.0000e-04 eta: 15:34:15 time: 0.4478 data_time: 0.0155 memory: 17087 grad_norm: 6.9765 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7808 loss: 0.7808 2022/08/05 04:24:19 - mmengine - INFO - Epoch(train) [188][140/1879] lr: 1.0000e-04 eta: 15:34:06 time: 0.4366 data_time: 0.0138 memory: 17087 grad_norm: 6.7847 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6880 loss: 0.6880 2022/08/05 04:24:28 - mmengine - INFO - Epoch(train) [188][160/1879] lr: 1.0000e-04 eta: 15:33:58 time: 0.4473 data_time: 0.0165 memory: 17087 grad_norm: 6.7001 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7715 loss: 0.7715 2022/08/05 04:24:37 - mmengine - INFO - Epoch(train) [188][180/1879] lr: 1.0000e-04 eta: 15:33:49 time: 0.4395 data_time: 0.0137 memory: 17087 grad_norm: 6.8551 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9968 loss: 0.9968 2022/08/05 04:24:45 - mmengine - INFO - Epoch(train) [188][200/1879] lr: 1.0000e-04 eta: 15:33:40 time: 0.4383 data_time: 0.0181 memory: 17087 grad_norm: 6.8451 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8180 loss: 0.8180 2022/08/05 04:24:54 - mmengine - INFO - Epoch(train) [188][220/1879] lr: 1.0000e-04 eta: 15:33:32 time: 0.4325 data_time: 0.0157 memory: 17087 grad_norm: 6.6785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7803 loss: 0.7803 2022/08/05 04:25:03 - mmengine - INFO - Epoch(train) [188][240/1879] lr: 1.0000e-04 eta: 15:33:23 time: 0.4307 data_time: 0.0163 memory: 17087 grad_norm: 6.9615 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8983 loss: 0.8983 2022/08/05 04:25:11 - mmengine - INFO - Epoch(train) [188][260/1879] lr: 1.0000e-04 eta: 15:33:14 time: 0.4326 data_time: 0.0152 memory: 17087 grad_norm: 6.7507 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8904 loss: 0.8904 2022/08/05 04:25:20 - mmengine - INFO - Epoch(train) [188][280/1879] lr: 1.0000e-04 eta: 15:33:06 time: 0.4313 data_time: 0.0164 memory: 17087 grad_norm: 6.7340 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8471 loss: 0.8471 2022/08/05 04:25:29 - mmengine - INFO - Epoch(train) [188][300/1879] lr: 1.0000e-04 eta: 15:32:57 time: 0.4577 data_time: 0.0147 memory: 17087 grad_norm: 6.7972 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8287 loss: 0.8287 2022/08/05 04:25:38 - mmengine - INFO - Epoch(train) [188][320/1879] lr: 1.0000e-04 eta: 15:32:49 time: 0.4308 data_time: 0.0172 memory: 17087 grad_norm: 6.9454 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9306 loss: 0.9306 2022/08/05 04:25:46 - mmengine - INFO - Epoch(train) [188][340/1879] lr: 1.0000e-04 eta: 15:32:40 time: 0.4352 data_time: 0.0158 memory: 17087 grad_norm: 6.8185 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8067 loss: 0.8067 2022/08/05 04:25:55 - mmengine - INFO - Epoch(train) [188][360/1879] lr: 1.0000e-04 eta: 15:32:31 time: 0.4404 data_time: 0.0166 memory: 17087 grad_norm: 6.8612 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6897 loss: 0.6897 2022/08/05 04:26:04 - mmengine - INFO - Epoch(train) [188][380/1879] lr: 1.0000e-04 eta: 15:32:23 time: 0.4562 data_time: 0.0159 memory: 17087 grad_norm: 7.0235 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9743 loss: 0.9743 2022/08/05 04:26:13 - mmengine - INFO - Epoch(train) [188][400/1879] lr: 1.0000e-04 eta: 15:32:14 time: 0.4368 data_time: 0.0170 memory: 17087 grad_norm: 6.8432 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7906 loss: 0.7906 2022/08/05 04:26:22 - mmengine - INFO - Epoch(train) [188][420/1879] lr: 1.0000e-04 eta: 15:32:06 time: 0.4306 data_time: 0.0135 memory: 17087 grad_norm: 6.7721 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8133 loss: 0.8133 2022/08/05 04:26:31 - mmengine - INFO - Epoch(train) [188][440/1879] lr: 1.0000e-04 eta: 15:31:57 time: 0.4350 data_time: 0.0175 memory: 17087 grad_norm: 6.8547 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8699 loss: 0.8699 2022/08/05 04:26:39 - mmengine - INFO - Epoch(train) [188][460/1879] lr: 1.0000e-04 eta: 15:31:48 time: 0.4319 data_time: 0.0142 memory: 17087 grad_norm: 6.7047 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7534 loss: 0.7534 2022/08/05 04:26:48 - mmengine - INFO - Epoch(train) [188][480/1879] lr: 1.0000e-04 eta: 15:31:40 time: 0.4550 data_time: 0.0172 memory: 17087 grad_norm: 6.8452 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8719 loss: 0.8719 2022/08/05 04:26:57 - mmengine - INFO - Epoch(train) [188][500/1879] lr: 1.0000e-04 eta: 15:31:31 time: 0.4355 data_time: 0.0192 memory: 17087 grad_norm: 6.8029 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8848 loss: 0.8848 2022/08/05 04:27:06 - mmengine - INFO - Epoch(train) [188][520/1879] lr: 1.0000e-04 eta: 15:31:23 time: 0.4528 data_time: 0.0168 memory: 17087 grad_norm: 7.1855 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7754 loss: 0.7754 2022/08/05 04:27:15 - mmengine - INFO - Epoch(train) [188][540/1879] lr: 1.0000e-04 eta: 15:31:14 time: 0.4314 data_time: 0.0136 memory: 17087 grad_norm: 6.9339 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8453 loss: 0.8453 2022/08/05 04:27:24 - mmengine - INFO - Epoch(train) [188][560/1879] lr: 1.0000e-04 eta: 15:31:05 time: 0.4439 data_time: 0.0163 memory: 17087 grad_norm: 7.0392 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8058 loss: 0.8058 2022/08/05 04:27:32 - mmengine - INFO - Epoch(train) [188][580/1879] lr: 1.0000e-04 eta: 15:30:57 time: 0.4306 data_time: 0.0145 memory: 17087 grad_norm: 6.9361 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8700 loss: 0.8700 2022/08/05 04:27:41 - mmengine - INFO - Epoch(train) [188][600/1879] lr: 1.0000e-04 eta: 15:30:48 time: 0.4305 data_time: 0.0156 memory: 17087 grad_norm: 7.0682 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8405 loss: 0.8405 2022/08/05 04:27:50 - mmengine - INFO - Epoch(train) [188][620/1879] lr: 1.0000e-04 eta: 15:30:39 time: 0.4350 data_time: 0.0137 memory: 17087 grad_norm: 7.0585 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8304 loss: 0.8304 2022/08/05 04:27:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 04:27:59 - mmengine - INFO - Epoch(train) [188][640/1879] lr: 1.0000e-04 eta: 15:30:31 time: 0.4413 data_time: 0.0175 memory: 17087 grad_norm: 6.8909 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7821 loss: 0.7821 2022/08/05 04:28:08 - mmengine - INFO - Epoch(train) [188][660/1879] lr: 1.0000e-04 eta: 15:30:22 time: 0.4487 data_time: 0.0173 memory: 17087 grad_norm: 7.0410 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7641 loss: 0.7641 2022/08/05 04:28:16 - mmengine - INFO - Epoch(train) [188][680/1879] lr: 1.0000e-04 eta: 15:30:14 time: 0.4322 data_time: 0.0184 memory: 17087 grad_norm: 6.9256 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8620 loss: 0.8620 2022/08/05 04:28:25 - mmengine - INFO - Epoch(train) [188][700/1879] lr: 1.0000e-04 eta: 15:30:05 time: 0.4420 data_time: 0.0161 memory: 17087 grad_norm: 6.8838 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8985 loss: 0.8985 2022/08/05 04:28:34 - mmengine - INFO - Epoch(train) [188][720/1879] lr: 1.0000e-04 eta: 15:29:56 time: 0.4312 data_time: 0.0161 memory: 17087 grad_norm: 6.6938 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8545 loss: 0.8545 2022/08/05 04:28:42 - mmengine - INFO - Epoch(train) [188][740/1879] lr: 1.0000e-04 eta: 15:29:48 time: 0.4292 data_time: 0.0140 memory: 17087 grad_norm: 7.0484 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8382 loss: 0.8382 2022/08/05 04:28:51 - mmengine - INFO - Epoch(train) [188][760/1879] lr: 1.0000e-04 eta: 15:29:39 time: 0.4342 data_time: 0.0168 memory: 17087 grad_norm: 6.7306 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9035 loss: 0.9035 2022/08/05 04:29:00 - mmengine - INFO - Epoch(train) [188][780/1879] lr: 1.0000e-04 eta: 15:29:30 time: 0.4317 data_time: 0.0153 memory: 17087 grad_norm: 6.5600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7649 loss: 0.7649 2022/08/05 04:29:09 - mmengine - INFO - Epoch(train) [188][800/1879] lr: 1.0000e-04 eta: 15:29:22 time: 0.4550 data_time: 0.0162 memory: 17087 grad_norm: 7.2785 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8081 loss: 0.8081 2022/08/05 04:29:17 - mmengine - INFO - Epoch(train) [188][820/1879] lr: 1.0000e-04 eta: 15:29:13 time: 0.4285 data_time: 0.0151 memory: 17087 grad_norm: 6.7636 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8336 loss: 0.8336 2022/08/05 04:29:26 - mmengine - INFO - Epoch(train) [188][840/1879] lr: 1.0000e-04 eta: 15:29:05 time: 0.4488 data_time: 0.0165 memory: 17087 grad_norm: 6.9489 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8533 loss: 0.8533 2022/08/05 04:29:35 - mmengine - INFO - Epoch(train) [188][860/1879] lr: 1.0000e-04 eta: 15:28:56 time: 0.4294 data_time: 0.0146 memory: 17087 grad_norm: 6.6536 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7795 loss: 0.7795 2022/08/05 04:29:44 - mmengine - INFO - Epoch(train) [188][880/1879] lr: 1.0000e-04 eta: 15:28:47 time: 0.4427 data_time: 0.0171 memory: 17087 grad_norm: 6.8905 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9240 loss: 0.9240 2022/08/05 04:29:52 - mmengine - INFO - Epoch(train) [188][900/1879] lr: 1.0000e-04 eta: 15:28:39 time: 0.4306 data_time: 0.0145 memory: 17087 grad_norm: 6.8915 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8234 loss: 0.8234 2022/08/05 04:30:01 - mmengine - INFO - Epoch(train) [188][920/1879] lr: 1.0000e-04 eta: 15:28:30 time: 0.4379 data_time: 0.0183 memory: 17087 grad_norm: 7.1142 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 1.1177 loss: 1.1177 2022/08/05 04:30:10 - mmengine - INFO - Epoch(train) [188][940/1879] lr: 1.0000e-04 eta: 15:28:21 time: 0.4284 data_time: 0.0149 memory: 17087 grad_norm: 6.8884 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9122 loss: 0.9122 2022/08/05 04:30:19 - mmengine - INFO - Epoch(train) [188][960/1879] lr: 1.0000e-04 eta: 15:28:13 time: 0.4341 data_time: 0.0175 memory: 17087 grad_norm: 6.8610 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8600 loss: 0.8600 2022/08/05 04:30:27 - mmengine - INFO - Epoch(train) [188][980/1879] lr: 1.0000e-04 eta: 15:28:04 time: 0.4291 data_time: 0.0139 memory: 17087 grad_norm: 7.1322 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8777 loss: 0.8777 2022/08/05 04:30:36 - mmengine - INFO - Epoch(train) [188][1000/1879] lr: 1.0000e-04 eta: 15:27:56 time: 0.4339 data_time: 0.0166 memory: 17087 grad_norm: 6.8042 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8540 loss: 0.8540 2022/08/05 04:30:44 - mmengine - INFO - Epoch(train) [188][1020/1879] lr: 1.0000e-04 eta: 15:27:47 time: 0.4311 data_time: 0.0173 memory: 17087 grad_norm: 7.0042 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7463 loss: 0.7463 2022/08/05 04:30:53 - mmengine - INFO - Epoch(train) [188][1040/1879] lr: 1.0000e-04 eta: 15:27:38 time: 0.4348 data_time: 0.0176 memory: 17087 grad_norm: 6.8065 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9882 loss: 0.9882 2022/08/05 04:31:02 - mmengine - INFO - Epoch(train) [188][1060/1879] lr: 1.0000e-04 eta: 15:27:30 time: 0.4306 data_time: 0.0151 memory: 17087 grad_norm: 6.8551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9146 loss: 0.9146 2022/08/05 04:31:11 - mmengine - INFO - Epoch(train) [188][1080/1879] lr: 1.0000e-04 eta: 15:27:21 time: 0.4350 data_time: 0.0168 memory: 17087 grad_norm: 6.8881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8234 loss: 0.8234 2022/08/05 04:31:19 - mmengine - INFO - Epoch(train) [188][1100/1879] lr: 1.0000e-04 eta: 15:27:12 time: 0.4377 data_time: 0.0154 memory: 17087 grad_norm: 6.8513 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8662 loss: 0.8662 2022/08/05 04:31:28 - mmengine - INFO - Epoch(train) [188][1120/1879] lr: 1.0000e-04 eta: 15:27:04 time: 0.4447 data_time: 0.0163 memory: 17087 grad_norm: 6.8068 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8353 loss: 0.8353 2022/08/05 04:31:37 - mmengine - INFO - Epoch(train) [188][1140/1879] lr: 1.0000e-04 eta: 15:26:55 time: 0.4311 data_time: 0.0168 memory: 17087 grad_norm: 6.9390 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7700 loss: 0.7700 2022/08/05 04:31:46 - mmengine - INFO - Epoch(train) [188][1160/1879] lr: 1.0000e-04 eta: 15:26:46 time: 0.4398 data_time: 0.0169 memory: 17087 grad_norm: 6.8346 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8653 loss: 0.8653 2022/08/05 04:31:54 - mmengine - INFO - Epoch(train) [188][1180/1879] lr: 1.0000e-04 eta: 15:26:38 time: 0.4328 data_time: 0.0158 memory: 17087 grad_norm: 7.0135 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7800 loss: 0.7800 2022/08/05 04:32:03 - mmengine - INFO - Epoch(train) [188][1200/1879] lr: 1.0000e-04 eta: 15:26:29 time: 0.4310 data_time: 0.0167 memory: 17087 grad_norm: 6.8246 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9594 loss: 0.9594 2022/08/05 04:32:12 - mmengine - INFO - Epoch(train) [188][1220/1879] lr: 1.0000e-04 eta: 15:26:21 time: 0.4494 data_time: 0.0152 memory: 17087 grad_norm: 6.8638 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8783 loss: 0.8783 2022/08/05 04:32:21 - mmengine - INFO - Epoch(train) [188][1240/1879] lr: 1.0000e-04 eta: 15:26:12 time: 0.4346 data_time: 0.0222 memory: 17087 grad_norm: 6.8004 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8865 loss: 0.8865 2022/08/05 04:32:29 - mmengine - INFO - Epoch(train) [188][1260/1879] lr: 1.0000e-04 eta: 15:26:03 time: 0.4327 data_time: 0.0173 memory: 17087 grad_norm: 6.7266 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7436 loss: 0.7436 2022/08/05 04:32:38 - mmengine - INFO - Epoch(train) [188][1280/1879] lr: 1.0000e-04 eta: 15:25:55 time: 0.4301 data_time: 0.0167 memory: 17087 grad_norm: 6.8144 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8441 loss: 0.8441 2022/08/05 04:32:47 - mmengine - INFO - Epoch(train) [188][1300/1879] lr: 1.0000e-04 eta: 15:25:46 time: 0.4349 data_time: 0.0170 memory: 17087 grad_norm: 7.1412 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9445 loss: 0.9445 2022/08/05 04:32:55 - mmengine - INFO - Epoch(train) [188][1320/1879] lr: 1.0000e-04 eta: 15:25:37 time: 0.4350 data_time: 0.0176 memory: 17087 grad_norm: 7.2444 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8454 loss: 0.8454 2022/08/05 04:33:04 - mmengine - INFO - Epoch(train) [188][1340/1879] lr: 1.0000e-04 eta: 15:25:29 time: 0.4323 data_time: 0.0161 memory: 17087 grad_norm: 7.0742 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0520 loss: 1.0520 2022/08/05 04:33:13 - mmengine - INFO - Epoch(train) [188][1360/1879] lr: 1.0000e-04 eta: 15:25:20 time: 0.4319 data_time: 0.0165 memory: 17087 grad_norm: 7.1305 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7998 loss: 0.7998 2022/08/05 04:33:22 - mmengine - INFO - Epoch(train) [188][1380/1879] lr: 1.0000e-04 eta: 15:25:11 time: 0.4348 data_time: 0.0155 memory: 17087 grad_norm: 6.6630 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7178 loss: 0.7178 2022/08/05 04:33:30 - mmengine - INFO - Epoch(train) [188][1400/1879] lr: 1.0000e-04 eta: 15:25:03 time: 0.4315 data_time: 0.0170 memory: 17087 grad_norm: 7.1626 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9710 loss: 0.9710 2022/08/05 04:33:39 - mmengine - INFO - Epoch(train) [188][1420/1879] lr: 1.0000e-04 eta: 15:24:54 time: 0.4376 data_time: 0.0156 memory: 17087 grad_norm: 7.0029 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0642 loss: 1.0642 2022/08/05 04:33:48 - mmengine - INFO - Epoch(train) [188][1440/1879] lr: 1.0000e-04 eta: 15:24:46 time: 0.4506 data_time: 0.0192 memory: 17087 grad_norm: 6.7812 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9134 loss: 0.9134 2022/08/05 04:33:57 - mmengine - INFO - Epoch(train) [188][1460/1879] lr: 1.0000e-04 eta: 15:24:37 time: 0.4370 data_time: 0.0151 memory: 17087 grad_norm: 6.9186 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9469 loss: 0.9469 2022/08/05 04:34:06 - mmengine - INFO - Epoch(train) [188][1480/1879] lr: 1.0000e-04 eta: 15:24:28 time: 0.4530 data_time: 0.0177 memory: 17087 grad_norm: 6.8050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8366 loss: 0.8366 2022/08/05 04:34:15 - mmengine - INFO - Epoch(train) [188][1500/1879] lr: 1.0000e-04 eta: 15:24:20 time: 0.4382 data_time: 0.0191 memory: 17087 grad_norm: 7.0801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7478 loss: 0.7478 2022/08/05 04:34:23 - mmengine - INFO - Epoch(train) [188][1520/1879] lr: 1.0000e-04 eta: 15:24:11 time: 0.4314 data_time: 0.0159 memory: 17087 grad_norm: 7.0173 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9016 loss: 0.9016 2022/08/05 04:34:32 - mmengine - INFO - Epoch(train) [188][1540/1879] lr: 1.0000e-04 eta: 15:24:03 time: 0.4539 data_time: 0.0143 memory: 17087 grad_norm: 6.9588 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8803 loss: 0.8803 2022/08/05 04:34:41 - mmengine - INFO - Epoch(train) [188][1560/1879] lr: 1.0000e-04 eta: 15:23:54 time: 0.4399 data_time: 0.0217 memory: 17087 grad_norm: 6.6724 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8651 loss: 0.8651 2022/08/05 04:34:50 - mmengine - INFO - Epoch(train) [188][1580/1879] lr: 1.0000e-04 eta: 15:23:45 time: 0.4359 data_time: 0.0146 memory: 17087 grad_norm: 6.5689 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7482 loss: 0.7482 2022/08/05 04:34:59 - mmengine - INFO - Epoch(train) [188][1600/1879] lr: 1.0000e-04 eta: 15:23:37 time: 0.4309 data_time: 0.0163 memory: 17087 grad_norm: 7.1447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8903 loss: 0.8903 2022/08/05 04:35:08 - mmengine - INFO - Epoch(train) [188][1620/1879] lr: 1.0000e-04 eta: 15:23:28 time: 0.4681 data_time: 0.0153 memory: 17087 grad_norm: 6.7841 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7870 loss: 0.7870 2022/08/05 04:35:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 04:35:17 - mmengine - INFO - Epoch(train) [188][1640/1879] lr: 1.0000e-04 eta: 15:23:20 time: 0.4302 data_time: 0.0168 memory: 17087 grad_norm: 6.7752 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8497 loss: 0.8497 2022/08/05 04:35:25 - mmengine - INFO - Epoch(train) [188][1660/1879] lr: 1.0000e-04 eta: 15:23:11 time: 0.4320 data_time: 0.0158 memory: 17087 grad_norm: 6.7164 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7162 loss: 0.7162 2022/08/05 04:35:34 - mmengine - INFO - Epoch(train) [188][1680/1879] lr: 1.0000e-04 eta: 15:23:02 time: 0.4322 data_time: 0.0168 memory: 17087 grad_norm: 6.7897 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9984 loss: 0.9984 2022/08/05 04:35:43 - mmengine - INFO - Epoch(train) [188][1700/1879] lr: 1.0000e-04 eta: 15:22:54 time: 0.4328 data_time: 0.0143 memory: 17087 grad_norm: 6.7498 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8579 loss: 0.8579 2022/08/05 04:35:51 - mmengine - INFO - Epoch(train) [188][1720/1879] lr: 1.0000e-04 eta: 15:22:45 time: 0.4353 data_time: 0.0171 memory: 17087 grad_norm: 7.0108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8773 loss: 0.8773 2022/08/05 04:36:00 - mmengine - INFO - Epoch(train) [188][1740/1879] lr: 1.0000e-04 eta: 15:22:36 time: 0.4289 data_time: 0.0148 memory: 17087 grad_norm: 6.7256 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7146 loss: 0.7146 2022/08/05 04:36:09 - mmengine - INFO - Epoch(train) [188][1760/1879] lr: 1.0000e-04 eta: 15:22:28 time: 0.4736 data_time: 0.0176 memory: 17087 grad_norm: 6.9054 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8631 loss: 0.8631 2022/08/05 04:36:18 - mmengine - INFO - Epoch(train) [188][1780/1879] lr: 1.0000e-04 eta: 15:22:19 time: 0.4336 data_time: 0.0141 memory: 17087 grad_norm: 6.7450 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9984 loss: 0.9984 2022/08/05 04:36:27 - mmengine - INFO - Epoch(train) [188][1800/1879] lr: 1.0000e-04 eta: 15:22:11 time: 0.4713 data_time: 0.0197 memory: 17087 grad_norm: 7.1365 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.8589 loss: 0.8589 2022/08/05 04:36:36 - mmengine - INFO - Epoch(train) [188][1820/1879] lr: 1.0000e-04 eta: 15:22:02 time: 0.4296 data_time: 0.0136 memory: 17087 grad_norm: 6.9203 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8627 loss: 0.8627 2022/08/05 04:36:45 - mmengine - INFO - Epoch(train) [188][1840/1879] lr: 1.0000e-04 eta: 15:21:54 time: 0.4467 data_time: 0.0186 memory: 17087 grad_norm: 6.7836 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7726 loss: 0.7726 2022/08/05 04:36:54 - mmengine - INFO - Epoch(train) [188][1860/1879] lr: 1.0000e-04 eta: 15:21:45 time: 0.4288 data_time: 0.0150 memory: 17087 grad_norm: 6.7181 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7576 loss: 0.7576 2022/08/05 04:37:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 04:37:01 - mmengine - INFO - Epoch(train) [188][1879/1879] lr: 1.0000e-04 eta: 15:21:45 time: 0.4102 data_time: 0.0143 memory: 17087 grad_norm: 7.0227 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8718 loss: 0.8718 2022/08/05 04:37:01 - mmengine - INFO - Saving checkpoint at 188 epochs 2022/08/05 04:37:17 - mmengine - INFO - Epoch(train) [189][20/1879] lr: 1.0000e-04 eta: 15:21:26 time: 0.5499 data_time: 0.0931 memory: 17087 grad_norm: 6.9072 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9076 loss: 0.9076 2022/08/05 04:37:26 - mmengine - INFO - Epoch(train) [189][40/1879] lr: 1.0000e-04 eta: 15:21:17 time: 0.4337 data_time: 0.0185 memory: 17087 grad_norm: 6.8174 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8403 loss: 0.8403 2022/08/05 04:37:34 - mmengine - INFO - Epoch(train) [189][60/1879] lr: 1.0000e-04 eta: 15:21:09 time: 0.4307 data_time: 0.0146 memory: 17087 grad_norm: 6.9333 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8073 loss: 0.8073 2022/08/05 04:37:43 - mmengine - INFO - Epoch(train) [189][80/1879] lr: 1.0000e-04 eta: 15:21:00 time: 0.4325 data_time: 0.0168 memory: 17087 grad_norm: 6.7538 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8296 loss: 0.8296 2022/08/05 04:37:52 - mmengine - INFO - Epoch(train) [189][100/1879] lr: 1.0000e-04 eta: 15:20:51 time: 0.4325 data_time: 0.0153 memory: 17087 grad_norm: 6.9958 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7818 loss: 0.7818 2022/08/05 04:38:01 - mmengine - INFO - Epoch(train) [189][120/1879] lr: 1.0000e-04 eta: 15:20:43 time: 0.4628 data_time: 0.0208 memory: 17087 grad_norm: 6.8751 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7759 loss: 0.7759 2022/08/05 04:38:09 - mmengine - INFO - Epoch(train) [189][140/1879] lr: 1.0000e-04 eta: 15:20:34 time: 0.4304 data_time: 0.0155 memory: 17087 grad_norm: 6.6440 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7705 loss: 0.7705 2022/08/05 04:38:19 - mmengine - INFO - Epoch(train) [189][160/1879] lr: 1.0000e-04 eta: 15:20:26 time: 0.4615 data_time: 0.0194 memory: 17087 grad_norm: 6.8838 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9524 loss: 0.9524 2022/08/05 04:38:27 - mmengine - INFO - Epoch(train) [189][180/1879] lr: 1.0000e-04 eta: 15:20:17 time: 0.4300 data_time: 0.0153 memory: 17087 grad_norm: 6.7936 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7392 loss: 0.7392 2022/08/05 04:38:37 - mmengine - INFO - Epoch(train) [189][200/1879] lr: 1.0000e-04 eta: 15:20:09 time: 0.4595 data_time: 0.0171 memory: 17087 grad_norm: 6.7914 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6916 loss: 0.6916 2022/08/05 04:38:45 - mmengine - INFO - Epoch(train) [189][220/1879] lr: 1.0000e-04 eta: 15:20:00 time: 0.4303 data_time: 0.0147 memory: 17087 grad_norm: 6.8785 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9227 loss: 0.9227 2022/08/05 04:38:54 - mmengine - INFO - Epoch(train) [189][240/1879] lr: 1.0000e-04 eta: 15:19:51 time: 0.4315 data_time: 0.0161 memory: 17087 grad_norm: 7.0121 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8509 loss: 0.8509 2022/08/05 04:39:03 - mmengine - INFO - Epoch(train) [189][260/1879] lr: 1.0000e-04 eta: 15:19:43 time: 0.4582 data_time: 0.0156 memory: 17087 grad_norm: 7.1257 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8911 loss: 0.8911 2022/08/05 04:39:12 - mmengine - INFO - Epoch(train) [189][280/1879] lr: 1.0000e-04 eta: 15:19:34 time: 0.4315 data_time: 0.0168 memory: 17087 grad_norm: 6.7451 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7846 loss: 0.7846 2022/08/05 04:39:21 - mmengine - INFO - Epoch(train) [189][300/1879] lr: 1.0000e-04 eta: 15:19:26 time: 0.4471 data_time: 0.0150 memory: 17087 grad_norm: 6.9858 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9825 loss: 0.9825 2022/08/05 04:39:29 - mmengine - INFO - Epoch(train) [189][320/1879] lr: 1.0000e-04 eta: 15:19:17 time: 0.4309 data_time: 0.0168 memory: 17087 grad_norm: 6.8053 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7805 loss: 0.7805 2022/08/05 04:39:38 - mmengine - INFO - Epoch(train) [189][340/1879] lr: 1.0000e-04 eta: 15:19:08 time: 0.4337 data_time: 0.0158 memory: 17087 grad_norm: 7.2526 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9231 loss: 0.9231 2022/08/05 04:39:47 - mmengine - INFO - Epoch(train) [189][360/1879] lr: 1.0000e-04 eta: 15:19:00 time: 0.4319 data_time: 0.0166 memory: 17087 grad_norm: 6.9429 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8979 loss: 0.8979 2022/08/05 04:39:56 - mmengine - INFO - Epoch(train) [189][380/1879] lr: 1.0000e-04 eta: 15:18:51 time: 0.4793 data_time: 0.0160 memory: 17087 grad_norm: 6.8658 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0022 loss: 1.0022 2022/08/05 04:40:05 - mmengine - INFO - Epoch(train) [189][400/1879] lr: 1.0000e-04 eta: 15:18:43 time: 0.4339 data_time: 0.0175 memory: 17087 grad_norm: 6.8652 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8091 loss: 0.8091 2022/08/05 04:40:14 - mmengine - INFO - Epoch(train) [189][420/1879] lr: 1.0000e-04 eta: 15:18:34 time: 0.4303 data_time: 0.0146 memory: 17087 grad_norm: 7.0467 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8256 loss: 0.8256 2022/08/05 04:40:22 - mmengine - INFO - Epoch(train) [189][440/1879] lr: 1.0000e-04 eta: 15:18:25 time: 0.4385 data_time: 0.0182 memory: 17087 grad_norm: 7.0359 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9500 loss: 0.9500 2022/08/05 04:40:31 - mmengine - INFO - Epoch(train) [189][460/1879] lr: 1.0000e-04 eta: 15:18:17 time: 0.4335 data_time: 0.0150 memory: 17087 grad_norm: 6.8031 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8380 loss: 0.8380 2022/08/05 04:40:40 - mmengine - INFO - Epoch(train) [189][480/1879] lr: 1.0000e-04 eta: 15:18:08 time: 0.4509 data_time: 0.0166 memory: 17087 grad_norm: 7.0960 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9394 loss: 0.9394 2022/08/05 04:40:49 - mmengine - INFO - Epoch(train) [189][500/1879] lr: 1.0000e-04 eta: 15:18:00 time: 0.4407 data_time: 0.0226 memory: 17087 grad_norm: 6.9039 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9284 loss: 0.9284 2022/08/05 04:40:58 - mmengine - INFO - Epoch(train) [189][520/1879] lr: 1.0000e-04 eta: 15:17:51 time: 0.4297 data_time: 0.0158 memory: 17087 grad_norm: 6.8316 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0184 loss: 1.0184 2022/08/05 04:41:07 - mmengine - INFO - Epoch(train) [189][540/1879] lr: 1.0000e-04 eta: 15:17:43 time: 0.4578 data_time: 0.0176 memory: 17087 grad_norm: 7.1453 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9044 loss: 0.9044 2022/08/05 04:41:15 - mmengine - INFO - Epoch(train) [189][560/1879] lr: 1.0000e-04 eta: 15:17:34 time: 0.4302 data_time: 0.0163 memory: 17087 grad_norm: 7.0711 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8199 loss: 0.8199 2022/08/05 04:41:24 - mmengine - INFO - Epoch(train) [189][580/1879] lr: 1.0000e-04 eta: 15:17:25 time: 0.4351 data_time: 0.0200 memory: 17087 grad_norm: 7.0628 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8217 loss: 0.8217 2022/08/05 04:41:33 - mmengine - INFO - Epoch(train) [189][600/1879] lr: 1.0000e-04 eta: 15:17:17 time: 0.4544 data_time: 0.0156 memory: 17087 grad_norm: 6.8140 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8766 loss: 0.8766 2022/08/05 04:41:42 - mmengine - INFO - Epoch(train) [189][620/1879] lr: 1.0000e-04 eta: 15:17:08 time: 0.4315 data_time: 0.0159 memory: 17087 grad_norm: 6.8432 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8945 loss: 0.8945 2022/08/05 04:41:51 - mmengine - INFO - Epoch(train) [189][640/1879] lr: 1.0000e-04 eta: 15:17:00 time: 0.4739 data_time: 0.0225 memory: 17087 grad_norm: 6.9982 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0121 loss: 1.0121 2022/08/05 04:42:00 - mmengine - INFO - Epoch(train) [189][660/1879] lr: 1.0000e-04 eta: 15:16:51 time: 0.4275 data_time: 0.0150 memory: 17087 grad_norm: 6.8811 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7425 loss: 0.7425 2022/08/05 04:42:09 - mmengine - INFO - Epoch(train) [189][680/1879] lr: 1.0000e-04 eta: 15:16:42 time: 0.4370 data_time: 0.0221 memory: 17087 grad_norm: 6.8790 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7720 loss: 0.7720 2022/08/05 04:42:17 - mmengine - INFO - Epoch(train) [189][700/1879] lr: 1.0000e-04 eta: 15:16:34 time: 0.4283 data_time: 0.0154 memory: 17087 grad_norm: 6.6938 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8187 loss: 0.8187 2022/08/05 04:42:27 - mmengine - INFO - Epoch(train) [189][720/1879] lr: 1.0000e-04 eta: 15:16:25 time: 0.4706 data_time: 0.0185 memory: 17087 grad_norm: 6.6629 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8013 loss: 0.8013 2022/08/05 04:42:35 - mmengine - INFO - Epoch(train) [189][740/1879] lr: 1.0000e-04 eta: 15:16:17 time: 0.4317 data_time: 0.0156 memory: 17087 grad_norm: 6.9278 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7416 loss: 0.7416 2022/08/05 04:42:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 04:42:44 - mmengine - INFO - Epoch(train) [189][760/1879] lr: 1.0000e-04 eta: 15:16:08 time: 0.4349 data_time: 0.0199 memory: 17087 grad_norm: 7.1366 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8749 loss: 0.8749 2022/08/05 04:42:53 - mmengine - INFO - Epoch(train) [189][780/1879] lr: 1.0000e-04 eta: 15:16:00 time: 0.4687 data_time: 0.0172 memory: 17087 grad_norm: 6.9037 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8915 loss: 0.8915 2022/08/05 04:43:02 - mmengine - INFO - Epoch(train) [189][800/1879] lr: 1.0000e-04 eta: 15:15:51 time: 0.4300 data_time: 0.0171 memory: 17087 grad_norm: 6.8662 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8299 loss: 0.8299 2022/08/05 04:43:12 - mmengine - INFO - Epoch(train) [189][820/1879] lr: 1.0000e-04 eta: 15:15:43 time: 0.4755 data_time: 0.0199 memory: 17087 grad_norm: 6.8265 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8722 loss: 0.8722 2022/08/05 04:43:20 - mmengine - INFO - Epoch(train) [189][840/1879] lr: 1.0000e-04 eta: 15:15:34 time: 0.4341 data_time: 0.0159 memory: 17087 grad_norm: 6.9559 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9319 loss: 0.9319 2022/08/05 04:43:29 - mmengine - INFO - Epoch(train) [189][860/1879] lr: 1.0000e-04 eta: 15:15:25 time: 0.4377 data_time: 0.0163 memory: 17087 grad_norm: 6.8855 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9262 loss: 0.9262 2022/08/05 04:43:38 - mmengine - INFO - Epoch(train) [189][880/1879] lr: 1.0000e-04 eta: 15:15:17 time: 0.4301 data_time: 0.0157 memory: 17087 grad_norm: 6.8274 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7167 loss: 0.7167 2022/08/05 04:43:47 - mmengine - INFO - Epoch(train) [189][900/1879] lr: 1.0000e-04 eta: 15:15:08 time: 0.4622 data_time: 0.0202 memory: 17087 grad_norm: 6.8689 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7976 loss: 0.7976 2022/08/05 04:43:56 - mmengine - INFO - Epoch(train) [189][920/1879] lr: 1.0000e-04 eta: 15:15:00 time: 0.4293 data_time: 0.0160 memory: 17087 grad_norm: 6.8831 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9346 loss: 0.9346 2022/08/05 04:44:04 - mmengine - INFO - Epoch(train) [189][940/1879] lr: 1.0000e-04 eta: 15:14:51 time: 0.4367 data_time: 0.0197 memory: 17087 grad_norm: 6.8707 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9738 loss: 0.9738 2022/08/05 04:44:13 - mmengine - INFO - Epoch(train) [189][960/1879] lr: 1.0000e-04 eta: 15:14:42 time: 0.4289 data_time: 0.0152 memory: 17087 grad_norm: 6.9133 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8615 loss: 0.8615 2022/08/05 04:44:22 - mmengine - INFO - Epoch(train) [189][980/1879] lr: 1.0000e-04 eta: 15:14:34 time: 0.4534 data_time: 0.0138 memory: 17087 grad_norm: 6.8847 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8974 loss: 0.8974 2022/08/05 04:44:31 - mmengine - INFO - Epoch(train) [189][1000/1879] lr: 1.0000e-04 eta: 15:14:25 time: 0.4318 data_time: 0.0160 memory: 17087 grad_norm: 6.7302 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9785 loss: 0.9785 2022/08/05 04:44:40 - mmengine - INFO - Epoch(train) [189][1020/1879] lr: 1.0000e-04 eta: 15:14:17 time: 0.4566 data_time: 0.0150 memory: 17087 grad_norm: 6.9929 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8907 loss: 0.8907 2022/08/05 04:44:49 - mmengine - INFO - Epoch(train) [189][1040/1879] lr: 1.0000e-04 eta: 15:14:08 time: 0.4374 data_time: 0.0165 memory: 17087 grad_norm: 7.0511 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9061 loss: 0.9061 2022/08/05 04:44:57 - mmengine - INFO - Epoch(train) [189][1060/1879] lr: 1.0000e-04 eta: 15:13:59 time: 0.4348 data_time: 0.0179 memory: 17087 grad_norm: 6.8138 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9688 loss: 0.9688 2022/08/05 04:45:06 - mmengine - INFO - Epoch(train) [189][1080/1879] lr: 1.0000e-04 eta: 15:13:51 time: 0.4314 data_time: 0.0164 memory: 17087 grad_norm: 6.8946 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7809 loss: 0.7809 2022/08/05 04:45:15 - mmengine - INFO - Epoch(train) [189][1100/1879] lr: 1.0000e-04 eta: 15:13:42 time: 0.4294 data_time: 0.0149 memory: 17087 grad_norm: 6.9747 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6976 loss: 0.6976 2022/08/05 04:45:23 - mmengine - INFO - Epoch(train) [189][1120/1879] lr: 1.0000e-04 eta: 15:13:33 time: 0.4415 data_time: 0.0171 memory: 17087 grad_norm: 6.6957 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8106 loss: 0.8106 2022/08/05 04:45:32 - mmengine - INFO - Epoch(train) [189][1140/1879] lr: 1.0000e-04 eta: 15:13:25 time: 0.4285 data_time: 0.0153 memory: 17087 grad_norm: 7.1114 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8775 loss: 0.8775 2022/08/05 04:45:41 - mmengine - INFO - Epoch(train) [189][1160/1879] lr: 1.0000e-04 eta: 15:13:16 time: 0.4526 data_time: 0.0174 memory: 17087 grad_norm: 6.7331 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7252 loss: 0.7252 2022/08/05 04:45:50 - mmengine - INFO - Epoch(train) [189][1180/1879] lr: 1.0000e-04 eta: 15:13:07 time: 0.4321 data_time: 0.0162 memory: 17087 grad_norm: 7.0666 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8659 loss: 0.8659 2022/08/05 04:45:58 - mmengine - INFO - Epoch(train) [189][1200/1879] lr: 1.0000e-04 eta: 15:12:59 time: 0.4329 data_time: 0.0150 memory: 17087 grad_norm: 6.9097 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9369 loss: 0.9369 2022/08/05 04:46:07 - mmengine - INFO - Epoch(train) [189][1220/1879] lr: 1.0000e-04 eta: 15:12:50 time: 0.4317 data_time: 0.0161 memory: 17087 grad_norm: 6.8540 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8807 loss: 0.8807 2022/08/05 04:46:16 - mmengine - INFO - Epoch(train) [189][1240/1879] lr: 1.0000e-04 eta: 15:12:42 time: 0.4332 data_time: 0.0151 memory: 17087 grad_norm: 7.0197 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8046 loss: 0.8046 2022/08/05 04:46:24 - mmengine - INFO - Epoch(train) [189][1260/1879] lr: 1.0000e-04 eta: 15:12:33 time: 0.4293 data_time: 0.0156 memory: 17087 grad_norm: 6.7946 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8366 loss: 0.8366 2022/08/05 04:46:33 - mmengine - INFO - Epoch(train) [189][1280/1879] lr: 1.0000e-04 eta: 15:12:24 time: 0.4337 data_time: 0.0159 memory: 17087 grad_norm: 6.7983 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9019 loss: 0.9019 2022/08/05 04:46:42 - mmengine - INFO - Epoch(train) [189][1300/1879] lr: 1.0000e-04 eta: 15:12:16 time: 0.4330 data_time: 0.0151 memory: 17087 grad_norm: 6.8446 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8832 loss: 0.8832 2022/08/05 04:46:50 - mmengine - INFO - Epoch(train) [189][1320/1879] lr: 1.0000e-04 eta: 15:12:07 time: 0.4331 data_time: 0.0177 memory: 17087 grad_norm: 6.7573 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7805 loss: 0.7805 2022/08/05 04:46:59 - mmengine - INFO - Epoch(train) [189][1340/1879] lr: 1.0000e-04 eta: 15:11:58 time: 0.4314 data_time: 0.0155 memory: 17087 grad_norm: 6.8790 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7429 loss: 0.7429 2022/08/05 04:47:08 - mmengine - INFO - Epoch(train) [189][1360/1879] lr: 1.0000e-04 eta: 15:11:50 time: 0.4491 data_time: 0.0177 memory: 17087 grad_norm: 7.0140 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9406 loss: 0.9406 2022/08/05 04:47:17 - mmengine - INFO - Epoch(train) [189][1380/1879] lr: 1.0000e-04 eta: 15:11:41 time: 0.4395 data_time: 0.0169 memory: 17087 grad_norm: 7.0567 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9302 loss: 0.9302 2022/08/05 04:47:26 - mmengine - INFO - Epoch(train) [189][1400/1879] lr: 1.0000e-04 eta: 15:11:32 time: 0.4334 data_time: 0.0179 memory: 17087 grad_norm: 6.7558 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7212 loss: 0.7212 2022/08/05 04:47:34 - mmengine - INFO - Epoch(train) [189][1420/1879] lr: 1.0000e-04 eta: 15:11:24 time: 0.4290 data_time: 0.0151 memory: 17087 grad_norm: 6.8524 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6468 loss: 0.6468 2022/08/05 04:47:43 - mmengine - INFO - Epoch(train) [189][1440/1879] lr: 1.0000e-04 eta: 15:11:15 time: 0.4405 data_time: 0.0173 memory: 17087 grad_norm: 6.9443 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.8592 loss: 0.8592 2022/08/05 04:47:52 - mmengine - INFO - Epoch(train) [189][1460/1879] lr: 1.0000e-04 eta: 15:11:07 time: 0.4450 data_time: 0.0163 memory: 17087 grad_norm: 6.8059 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8101 loss: 0.8101 2022/08/05 04:48:01 - mmengine - INFO - Epoch(train) [189][1480/1879] lr: 1.0000e-04 eta: 15:10:58 time: 0.4344 data_time: 0.0163 memory: 17087 grad_norm: 6.8857 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8881 loss: 0.8881 2022/08/05 04:48:09 - mmengine - INFO - Epoch(train) [189][1500/1879] lr: 1.0000e-04 eta: 15:10:49 time: 0.4334 data_time: 0.0183 memory: 17087 grad_norm: 6.8284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8449 loss: 0.8449 2022/08/05 04:48:18 - mmengine - INFO - Epoch(train) [189][1520/1879] lr: 1.0000e-04 eta: 15:10:41 time: 0.4292 data_time: 0.0167 memory: 17087 grad_norm: 6.8075 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8913 loss: 0.8913 2022/08/05 04:48:27 - mmengine - INFO - Epoch(train) [189][1540/1879] lr: 1.0000e-04 eta: 15:10:32 time: 0.4318 data_time: 0.0168 memory: 17087 grad_norm: 7.0327 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9770 loss: 0.9770 2022/08/05 04:48:35 - mmengine - INFO - Epoch(train) [189][1560/1879] lr: 1.0000e-04 eta: 15:10:23 time: 0.4320 data_time: 0.0153 memory: 17087 grad_norm: 6.8279 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7922 loss: 0.7922 2022/08/05 04:48:44 - mmengine - INFO - Epoch(train) [189][1580/1879] lr: 1.0000e-04 eta: 15:10:15 time: 0.4318 data_time: 0.0157 memory: 17087 grad_norm: 6.9261 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8709 loss: 0.8709 2022/08/05 04:48:53 - mmengine - INFO - Epoch(train) [189][1600/1879] lr: 1.0000e-04 eta: 15:10:06 time: 0.4481 data_time: 0.0199 memory: 17087 grad_norm: 6.6163 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8588 loss: 0.8588 2022/08/05 04:49:02 - mmengine - INFO - Epoch(train) [189][1620/1879] lr: 1.0000e-04 eta: 15:09:57 time: 0.4344 data_time: 0.0156 memory: 17087 grad_norm: 6.7333 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0019 loss: 1.0019 2022/08/05 04:49:10 - mmengine - INFO - Epoch(train) [189][1640/1879] lr: 1.0000e-04 eta: 15:09:49 time: 0.4371 data_time: 0.0176 memory: 17087 grad_norm: 6.5844 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7659 loss: 0.7659 2022/08/05 04:49:19 - mmengine - INFO - Epoch(train) [189][1660/1879] lr: 1.0000e-04 eta: 15:09:40 time: 0.4364 data_time: 0.0165 memory: 17087 grad_norm: 7.0488 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7861 loss: 0.7861 2022/08/05 04:49:28 - mmengine - INFO - Epoch(train) [189][1680/1879] lr: 1.0000e-04 eta: 15:09:32 time: 0.4506 data_time: 0.0182 memory: 17087 grad_norm: 6.8409 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8218 loss: 0.8218 2022/08/05 04:49:37 - mmengine - INFO - Epoch(train) [189][1700/1879] lr: 1.0000e-04 eta: 15:09:23 time: 0.4349 data_time: 0.0191 memory: 17087 grad_norm: 7.0908 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9440 loss: 0.9440 2022/08/05 04:49:45 - mmengine - INFO - Epoch(train) [189][1720/1879] lr: 1.0000e-04 eta: 15:09:14 time: 0.4328 data_time: 0.0173 memory: 17087 grad_norm: 6.7396 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8356 loss: 0.8356 2022/08/05 04:49:54 - mmengine - INFO - Epoch(train) [189][1740/1879] lr: 1.0000e-04 eta: 15:09:06 time: 0.4310 data_time: 0.0148 memory: 17087 grad_norm: 6.8263 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8371 loss: 0.8371 2022/08/05 04:49:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 04:50:03 - mmengine - INFO - Epoch(train) [189][1760/1879] lr: 1.0000e-04 eta: 15:08:57 time: 0.4290 data_time: 0.0157 memory: 17087 grad_norm: 6.9689 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7483 loss: 0.7483 2022/08/05 04:50:12 - mmengine - INFO - Epoch(train) [189][1780/1879] lr: 1.0000e-04 eta: 15:08:48 time: 0.4549 data_time: 0.0171 memory: 17087 grad_norm: 6.7885 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8155 loss: 0.8155 2022/08/05 04:50:21 - mmengine - INFO - Epoch(train) [189][1800/1879] lr: 1.0000e-04 eta: 15:08:40 time: 0.4353 data_time: 0.0199 memory: 17087 grad_norm: 6.7771 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8634 loss: 0.8634 2022/08/05 04:50:30 - mmengine - INFO - Epoch(train) [189][1820/1879] lr: 1.0000e-04 eta: 15:08:31 time: 0.4494 data_time: 0.0173 memory: 17087 grad_norm: 6.9991 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7692 loss: 0.7692 2022/08/05 04:50:38 - mmengine - INFO - Epoch(train) [189][1840/1879] lr: 1.0000e-04 eta: 15:08:23 time: 0.4342 data_time: 0.0218 memory: 17087 grad_norm: 6.8073 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8171 loss: 0.8171 2022/08/05 04:50:47 - mmengine - INFO - Epoch(train) [189][1860/1879] lr: 1.0000e-04 eta: 15:08:14 time: 0.4372 data_time: 0.0155 memory: 17087 grad_norm: 7.0304 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8063 loss: 0.8063 2022/08/05 04:50:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 04:50:55 - mmengine - INFO - Epoch(train) [189][1879/1879] lr: 1.0000e-04 eta: 15:08:14 time: 0.4088 data_time: 0.0138 memory: 17087 grad_norm: 6.9006 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6150 loss: 0.6150 2022/08/05 04:51:06 - mmengine - INFO - Epoch(train) [190][20/1879] lr: 1.0000e-04 eta: 15:07:55 time: 0.5637 data_time: 0.1185 memory: 17087 grad_norm: 6.9401 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7756 loss: 0.7756 2022/08/05 04:51:15 - mmengine - INFO - Epoch(train) [190][40/1879] lr: 1.0000e-04 eta: 15:07:46 time: 0.4323 data_time: 0.0165 memory: 17087 grad_norm: 7.0616 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8431 loss: 0.8431 2022/08/05 04:51:23 - mmengine - INFO - Epoch(train) [190][60/1879] lr: 1.0000e-04 eta: 15:07:38 time: 0.4292 data_time: 0.0163 memory: 17087 grad_norm: 6.9923 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8540 loss: 0.8540 2022/08/05 04:51:32 - mmengine - INFO - Epoch(train) [190][80/1879] lr: 1.0000e-04 eta: 15:07:29 time: 0.4339 data_time: 0.0162 memory: 17087 grad_norm: 6.9112 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8394 loss: 0.8394 2022/08/05 04:51:41 - mmengine - INFO - Epoch(train) [190][100/1879] lr: 1.0000e-04 eta: 15:07:21 time: 0.4317 data_time: 0.0152 memory: 17087 grad_norm: 6.8532 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8534 loss: 0.8534 2022/08/05 04:51:51 - mmengine - INFO - Epoch(train) [190][120/1879] lr: 1.0000e-04 eta: 15:07:12 time: 0.4909 data_time: 0.0196 memory: 17087 grad_norm: 6.6970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0242 loss: 1.0242 2022/08/05 04:51:59 - mmengine - INFO - Epoch(train) [190][140/1879] lr: 1.0000e-04 eta: 15:07:04 time: 0.4300 data_time: 0.0167 memory: 17087 grad_norm: 7.0990 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9056 loss: 0.9056 2022/08/05 04:52:08 - mmengine - INFO - Epoch(train) [190][160/1879] lr: 1.0000e-04 eta: 15:06:55 time: 0.4404 data_time: 0.0173 memory: 17087 grad_norm: 6.7098 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8586 loss: 0.8586 2022/08/05 04:52:17 - mmengine - INFO - Epoch(train) [190][180/1879] lr: 1.0000e-04 eta: 15:06:46 time: 0.4278 data_time: 0.0145 memory: 17087 grad_norm: 6.7620 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7303 loss: 0.7303 2022/08/05 04:52:25 - mmengine - INFO - Epoch(train) [190][200/1879] lr: 1.0000e-04 eta: 15:06:38 time: 0.4310 data_time: 0.0161 memory: 17087 grad_norm: 6.8313 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7903 loss: 0.7903 2022/08/05 04:52:34 - mmengine - INFO - Epoch(train) [190][220/1879] lr: 1.0000e-04 eta: 15:06:29 time: 0.4346 data_time: 0.0145 memory: 17087 grad_norm: 7.0909 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8090 loss: 0.8090 2022/08/05 04:52:43 - mmengine - INFO - Epoch(train) [190][240/1879] lr: 1.0000e-04 eta: 15:06:20 time: 0.4314 data_time: 0.0160 memory: 17087 grad_norm: 6.9549 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8854 loss: 0.8854 2022/08/05 04:52:52 - mmengine - INFO - Epoch(train) [190][260/1879] lr: 1.0000e-04 eta: 15:06:12 time: 0.4690 data_time: 0.0169 memory: 17087 grad_norm: 6.8466 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8189 loss: 0.8189 2022/08/05 04:53:01 - mmengine - INFO - Epoch(train) [190][280/1879] lr: 1.0000e-04 eta: 15:06:03 time: 0.4317 data_time: 0.0167 memory: 17087 grad_norm: 7.0820 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8625 loss: 0.8625 2022/08/05 04:53:09 - mmengine - INFO - Epoch(train) [190][300/1879] lr: 1.0000e-04 eta: 15:05:55 time: 0.4368 data_time: 0.0161 memory: 17087 grad_norm: 6.7686 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7470 loss: 0.7470 2022/08/05 04:53:18 - mmengine - INFO - Epoch(train) [190][320/1879] lr: 1.0000e-04 eta: 15:05:46 time: 0.4316 data_time: 0.0171 memory: 17087 grad_norm: 6.5887 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8222 loss: 0.8222 2022/08/05 04:53:27 - mmengine - INFO - Epoch(train) [190][340/1879] lr: 1.0000e-04 eta: 15:05:37 time: 0.4343 data_time: 0.0153 memory: 17087 grad_norm: 6.6495 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8444 loss: 0.8444 2022/08/05 04:53:35 - mmengine - INFO - Epoch(train) [190][360/1879] lr: 1.0000e-04 eta: 15:05:29 time: 0.4323 data_time: 0.0181 memory: 17087 grad_norm: 6.9851 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7717 loss: 0.7717 2022/08/05 04:53:44 - mmengine - INFO - Epoch(train) [190][380/1879] lr: 1.0000e-04 eta: 15:05:20 time: 0.4296 data_time: 0.0140 memory: 17087 grad_norm: 6.8821 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7979 loss: 0.7979 2022/08/05 04:53:53 - mmengine - INFO - Epoch(train) [190][400/1879] lr: 1.0000e-04 eta: 15:05:11 time: 0.4315 data_time: 0.0160 memory: 17087 grad_norm: 7.0358 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8511 loss: 0.8511 2022/08/05 04:54:01 - mmengine - INFO - Epoch(train) [190][420/1879] lr: 1.0000e-04 eta: 15:05:03 time: 0.4327 data_time: 0.0157 memory: 17087 grad_norm: 7.0422 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9249 loss: 0.9249 2022/08/05 04:54:11 - mmengine - INFO - Epoch(train) [190][440/1879] lr: 1.0000e-04 eta: 15:04:54 time: 0.4563 data_time: 0.0175 memory: 17087 grad_norm: 6.8460 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0107 loss: 1.0107 2022/08/05 04:54:19 - mmengine - INFO - Epoch(train) [190][460/1879] lr: 1.0000e-04 eta: 15:04:45 time: 0.4289 data_time: 0.0151 memory: 17087 grad_norm: 6.8448 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8777 loss: 0.8777 2022/08/05 04:54:28 - mmengine - INFO - Epoch(train) [190][480/1879] lr: 1.0000e-04 eta: 15:04:37 time: 0.4443 data_time: 0.0171 memory: 17087 grad_norm: 6.6871 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7554 loss: 0.7554 2022/08/05 04:54:37 - mmengine - INFO - Epoch(train) [190][500/1879] lr: 1.0000e-04 eta: 15:04:28 time: 0.4319 data_time: 0.0166 memory: 17087 grad_norm: 6.7245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9190 loss: 0.9190 2022/08/05 04:54:45 - mmengine - INFO - Epoch(train) [190][520/1879] lr: 1.0000e-04 eta: 15:04:20 time: 0.4297 data_time: 0.0170 memory: 17087 grad_norm: 7.1371 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9912 loss: 0.9912 2022/08/05 04:54:55 - mmengine - INFO - Epoch(train) [190][540/1879] lr: 1.0000e-04 eta: 15:04:11 time: 0.4841 data_time: 0.0187 memory: 17087 grad_norm: 6.8909 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7106 loss: 0.7106 2022/08/05 04:55:04 - mmengine - INFO - Epoch(train) [190][560/1879] lr: 1.0000e-04 eta: 15:04:03 time: 0.4316 data_time: 0.0170 memory: 17087 grad_norm: 6.6949 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7699 loss: 0.7699 2022/08/05 04:55:13 - mmengine - INFO - Epoch(train) [190][580/1879] lr: 1.0000e-04 eta: 15:03:54 time: 0.4585 data_time: 0.0157 memory: 17087 grad_norm: 6.9940 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8181 loss: 0.8181 2022/08/05 04:55:22 - mmengine - INFO - Epoch(train) [190][600/1879] lr: 1.0000e-04 eta: 15:03:45 time: 0.4321 data_time: 0.0161 memory: 17087 grad_norm: 6.8791 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0505 loss: 1.0505 2022/08/05 04:55:31 - mmengine - INFO - Epoch(train) [190][620/1879] lr: 1.0000e-04 eta: 15:03:37 time: 0.4599 data_time: 0.0159 memory: 17087 grad_norm: 6.9436 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8964 loss: 0.8964 2022/08/05 04:55:39 - mmengine - INFO - Epoch(train) [190][640/1879] lr: 1.0000e-04 eta: 15:03:28 time: 0.4306 data_time: 0.0175 memory: 17087 grad_norm: 6.8073 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7749 loss: 0.7749 2022/08/05 04:55:48 - mmengine - INFO - Epoch(train) [190][660/1879] lr: 1.0000e-04 eta: 15:03:20 time: 0.4331 data_time: 0.0159 memory: 17087 grad_norm: 7.1772 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9170 loss: 0.9170 2022/08/05 04:55:57 - mmengine - INFO - Epoch(train) [190][680/1879] lr: 1.0000e-04 eta: 15:03:11 time: 0.4308 data_time: 0.0164 memory: 17087 grad_norm: 6.9479 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8453 loss: 0.8453 2022/08/05 04:56:05 - mmengine - INFO - Epoch(train) [190][700/1879] lr: 1.0000e-04 eta: 15:03:02 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 6.9845 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9145 loss: 0.9145 2022/08/05 04:56:15 - mmengine - INFO - Epoch(train) [190][720/1879] lr: 1.0000e-04 eta: 15:02:54 time: 0.4593 data_time: 0.0181 memory: 17087 grad_norm: 6.7581 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7677 loss: 0.7677 2022/08/05 04:56:23 - mmengine - INFO - Epoch(train) [190][740/1879] lr: 1.0000e-04 eta: 15:02:45 time: 0.4454 data_time: 0.0166 memory: 17087 grad_norm: 6.9780 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9639 loss: 0.9639 2022/08/05 04:56:32 - mmengine - INFO - Epoch(train) [190][760/1879] lr: 1.0000e-04 eta: 15:02:37 time: 0.4320 data_time: 0.0168 memory: 17087 grad_norm: 6.8681 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9553 loss: 0.9553 2022/08/05 04:56:42 - mmengine - INFO - Epoch(train) [190][780/1879] lr: 1.0000e-04 eta: 15:02:28 time: 0.4705 data_time: 0.0186 memory: 17087 grad_norm: 7.0147 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9971 loss: 0.9971 2022/08/05 04:56:50 - mmengine - INFO - Epoch(train) [190][800/1879] lr: 1.0000e-04 eta: 15:02:20 time: 0.4363 data_time: 0.0211 memory: 17087 grad_norm: 6.6193 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0066 loss: 1.0066 2022/08/05 04:56:59 - mmengine - INFO - Epoch(train) [190][820/1879] lr: 1.0000e-04 eta: 15:02:11 time: 0.4398 data_time: 0.0150 memory: 17087 grad_norm: 6.8122 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9698 loss: 0.9698 2022/08/05 04:57:08 - mmengine - INFO - Epoch(train) [190][840/1879] lr: 1.0000e-04 eta: 15:02:02 time: 0.4384 data_time: 0.0164 memory: 17087 grad_norm: 7.0211 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9595 loss: 0.9595 2022/08/05 04:57:17 - mmengine - INFO - Epoch(train) [190][860/1879] lr: 1.0000e-04 eta: 15:01:54 time: 0.4599 data_time: 0.0168 memory: 17087 grad_norm: 6.9176 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.7731 loss: 0.7731 2022/08/05 04:57:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 04:57:26 - mmengine - INFO - Epoch(train) [190][880/1879] lr: 1.0000e-04 eta: 15:01:45 time: 0.4319 data_time: 0.0166 memory: 17087 grad_norm: 6.9217 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8595 loss: 0.8595 2022/08/05 04:57:34 - mmengine - INFO - Epoch(train) [190][900/1879] lr: 1.0000e-04 eta: 15:01:37 time: 0.4331 data_time: 0.0186 memory: 17087 grad_norm: 6.6394 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9163 loss: 0.9163 2022/08/05 04:57:43 - mmengine - INFO - Epoch(train) [190][920/1879] lr: 1.0000e-04 eta: 15:01:28 time: 0.4332 data_time: 0.0187 memory: 17087 grad_norm: 6.8362 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7289 loss: 0.7289 2022/08/05 04:57:52 - mmengine - INFO - Epoch(train) [190][940/1879] lr: 1.0000e-04 eta: 15:01:19 time: 0.4331 data_time: 0.0150 memory: 17087 grad_norm: 6.8924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8157 loss: 0.8157 2022/08/05 04:58:01 - mmengine - INFO - Epoch(train) [190][960/1879] lr: 1.0000e-04 eta: 15:01:11 time: 0.4627 data_time: 0.0176 memory: 17087 grad_norm: 6.7561 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9427 loss: 0.9427 2022/08/05 04:58:10 - mmengine - INFO - Epoch(train) [190][980/1879] lr: 1.0000e-04 eta: 15:01:02 time: 0.4334 data_time: 0.0185 memory: 17087 grad_norm: 6.7499 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7649 loss: 0.7649 2022/08/05 04:58:19 - mmengine - INFO - Epoch(train) [190][1000/1879] lr: 1.0000e-04 eta: 15:00:54 time: 0.4454 data_time: 0.0181 memory: 17087 grad_norm: 6.7004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8549 loss: 0.8549 2022/08/05 04:58:27 - mmengine - INFO - Epoch(train) [190][1020/1879] lr: 1.0000e-04 eta: 15:00:45 time: 0.4301 data_time: 0.0146 memory: 17087 grad_norm: 7.2278 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9142 loss: 0.9142 2022/08/05 04:58:36 - mmengine - INFO - Epoch(train) [190][1040/1879] lr: 1.0000e-04 eta: 15:00:36 time: 0.4325 data_time: 0.0172 memory: 17087 grad_norm: 6.7866 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8185 loss: 0.8185 2022/08/05 04:58:45 - mmengine - INFO - Epoch(train) [190][1060/1879] lr: 1.0000e-04 eta: 15:00:28 time: 0.4517 data_time: 0.0146 memory: 17087 grad_norm: 6.7854 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9367 loss: 0.9367 2022/08/05 04:58:54 - mmengine - INFO - Epoch(train) [190][1080/1879] lr: 1.0000e-04 eta: 15:00:19 time: 0.4319 data_time: 0.0162 memory: 17087 grad_norm: 6.8886 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7947 loss: 0.7947 2022/08/05 04:59:03 - mmengine - INFO - Epoch(train) [190][1100/1879] lr: 1.0000e-04 eta: 15:00:11 time: 0.4483 data_time: 0.0191 memory: 17087 grad_norm: 7.0353 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9011 loss: 0.9011 2022/08/05 04:59:11 - mmengine - INFO - Epoch(train) [190][1120/1879] lr: 1.0000e-04 eta: 15:00:02 time: 0.4314 data_time: 0.0168 memory: 17087 grad_norm: 6.9248 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8822 loss: 0.8822 2022/08/05 04:59:20 - mmengine - INFO - Epoch(train) [190][1140/1879] lr: 1.0000e-04 eta: 14:59:53 time: 0.4565 data_time: 0.0173 memory: 17087 grad_norm: 6.7773 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9317 loss: 0.9317 2022/08/05 04:59:29 - mmengine - INFO - Epoch(train) [190][1160/1879] lr: 1.0000e-04 eta: 14:59:45 time: 0.4430 data_time: 0.0181 memory: 17087 grad_norm: 6.7134 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8179 loss: 0.8179 2022/08/05 04:59:38 - mmengine - INFO - Epoch(train) [190][1180/1879] lr: 1.0000e-04 eta: 14:59:36 time: 0.4367 data_time: 0.0148 memory: 17087 grad_norm: 6.8183 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8809 loss: 0.8809 2022/08/05 04:59:47 - mmengine - INFO - Epoch(train) [190][1200/1879] lr: 1.0000e-04 eta: 14:59:28 time: 0.4685 data_time: 0.0178 memory: 17087 grad_norm: 7.0207 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8770 loss: 0.8770 2022/08/05 04:59:56 - mmengine - INFO - Epoch(train) [190][1220/1879] lr: 1.0000e-04 eta: 14:59:19 time: 0.4277 data_time: 0.0148 memory: 17087 grad_norm: 6.9140 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.9379 loss: 0.9379 2022/08/05 05:00:05 - mmengine - INFO - Epoch(train) [190][1240/1879] lr: 1.0000e-04 eta: 14:59:10 time: 0.4314 data_time: 0.0160 memory: 17087 grad_norm: 7.0094 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7272 loss: 0.7272 2022/08/05 05:00:13 - mmengine - INFO - Epoch(train) [190][1260/1879] lr: 1.0000e-04 eta: 14:59:02 time: 0.4300 data_time: 0.0147 memory: 17087 grad_norm: 7.0287 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8713 loss: 0.8713 2022/08/05 05:00:22 - mmengine - INFO - Epoch(train) [190][1280/1879] lr: 1.0000e-04 eta: 14:58:53 time: 0.4320 data_time: 0.0167 memory: 17087 grad_norm: 7.0382 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8868 loss: 0.8868 2022/08/05 05:00:31 - mmengine - INFO - Epoch(train) [190][1300/1879] lr: 1.0000e-04 eta: 14:58:45 time: 0.4527 data_time: 0.0169 memory: 17087 grad_norm: 6.8262 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8141 loss: 0.8141 2022/08/05 05:00:40 - mmengine - INFO - Epoch(train) [190][1320/1879] lr: 1.0000e-04 eta: 14:58:36 time: 0.4307 data_time: 0.0167 memory: 17087 grad_norm: 6.8123 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8162 loss: 0.8162 2022/08/05 05:00:49 - mmengine - INFO - Epoch(train) [190][1340/1879] lr: 1.0000e-04 eta: 14:58:27 time: 0.4607 data_time: 0.0160 memory: 17087 grad_norm: 6.8551 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9237 loss: 0.9237 2022/08/05 05:00:58 - mmengine - INFO - Epoch(train) [190][1360/1879] lr: 1.0000e-04 eta: 14:58:19 time: 0.4344 data_time: 0.0182 memory: 17087 grad_norm: 6.8066 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7702 loss: 0.7702 2022/08/05 05:01:06 - mmengine - INFO - Epoch(train) [190][1380/1879] lr: 1.0000e-04 eta: 14:58:10 time: 0.4297 data_time: 0.0151 memory: 17087 grad_norm: 6.9128 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6275 loss: 0.6275 2022/08/05 05:01:15 - mmengine - INFO - Epoch(train) [190][1400/1879] lr: 1.0000e-04 eta: 14:58:01 time: 0.4303 data_time: 0.0163 memory: 17087 grad_norm: 6.6777 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8187 loss: 0.8187 2022/08/05 05:01:24 - mmengine - INFO - Epoch(train) [190][1420/1879] lr: 1.0000e-04 eta: 14:57:53 time: 0.4691 data_time: 0.0180 memory: 17087 grad_norm: 6.9572 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8711 loss: 0.8711 2022/08/05 05:01:33 - mmengine - INFO - Epoch(train) [190][1440/1879] lr: 1.0000e-04 eta: 14:57:44 time: 0.4324 data_time: 0.0179 memory: 17087 grad_norm: 6.7827 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8888 loss: 0.8888 2022/08/05 05:01:42 - mmengine - INFO - Epoch(train) [190][1460/1879] lr: 1.0000e-04 eta: 14:57:36 time: 0.4279 data_time: 0.0135 memory: 17087 grad_norm: 6.9034 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8082 loss: 0.8082 2022/08/05 05:01:50 - mmengine - INFO - Epoch(train) [190][1480/1879] lr: 1.0000e-04 eta: 14:57:27 time: 0.4411 data_time: 0.0217 memory: 17087 grad_norm: 6.9250 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.9310 loss: 0.9310 2022/08/05 05:01:59 - mmengine - INFO - Epoch(train) [190][1500/1879] lr: 1.0000e-04 eta: 14:57:18 time: 0.4353 data_time: 0.0203 memory: 17087 grad_norm: 6.6922 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9404 loss: 0.9404 2022/08/05 05:02:08 - mmengine - INFO - Epoch(train) [190][1520/1879] lr: 1.0000e-04 eta: 14:57:10 time: 0.4424 data_time: 0.0182 memory: 17087 grad_norm: 6.8163 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7598 loss: 0.7598 2022/08/05 05:02:17 - mmengine - INFO - Epoch(train) [190][1540/1879] lr: 1.0000e-04 eta: 14:57:01 time: 0.4314 data_time: 0.0151 memory: 17087 grad_norm: 6.8577 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7762 loss: 0.7762 2022/08/05 05:02:25 - mmengine - INFO - Epoch(train) [190][1560/1879] lr: 1.0000e-04 eta: 14:56:53 time: 0.4327 data_time: 0.0183 memory: 17087 grad_norm: 6.9472 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9245 loss: 0.9245 2022/08/05 05:02:34 - mmengine - INFO - Epoch(train) [190][1580/1879] lr: 1.0000e-04 eta: 14:56:44 time: 0.4553 data_time: 0.0149 memory: 17087 grad_norm: 7.0301 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8628 loss: 0.8628 2022/08/05 05:02:43 - mmengine - INFO - Epoch(train) [190][1600/1879] lr: 1.0000e-04 eta: 14:56:35 time: 0.4382 data_time: 0.0208 memory: 17087 grad_norm: 6.8715 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9608 loss: 0.9608 2022/08/05 05:02:52 - mmengine - INFO - Epoch(train) [190][1620/1879] lr: 1.0000e-04 eta: 14:56:27 time: 0.4552 data_time: 0.0161 memory: 17087 grad_norm: 7.1519 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9811 loss: 0.9811 2022/08/05 05:03:01 - mmengine - INFO - Epoch(train) [190][1640/1879] lr: 1.0000e-04 eta: 14:56:18 time: 0.4331 data_time: 0.0185 memory: 17087 grad_norm: 6.7601 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8156 loss: 0.8156 2022/08/05 05:03:10 - mmengine - INFO - Epoch(train) [190][1660/1879] lr: 1.0000e-04 eta: 14:56:10 time: 0.4595 data_time: 0.0170 memory: 17087 grad_norm: 6.8991 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8893 loss: 0.8893 2022/08/05 05:03:19 - mmengine - INFO - Epoch(train) [190][1680/1879] lr: 1.0000e-04 eta: 14:56:01 time: 0.4363 data_time: 0.0213 memory: 17087 grad_norm: 6.9048 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8549 loss: 0.8549 2022/08/05 05:03:28 - mmengine - INFO - Epoch(train) [190][1700/1879] lr: 1.0000e-04 eta: 14:55:53 time: 0.4429 data_time: 0.0152 memory: 17087 grad_norm: 6.7285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6929 loss: 0.6929 2022/08/05 05:03:36 - mmengine - INFO - Epoch(train) [190][1720/1879] lr: 1.0000e-04 eta: 14:55:44 time: 0.4308 data_time: 0.0173 memory: 17087 grad_norm: 6.9886 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8134 loss: 0.8134 2022/08/05 05:03:45 - mmengine - INFO - Epoch(train) [190][1740/1879] lr: 1.0000e-04 eta: 14:55:35 time: 0.4286 data_time: 0.0145 memory: 17087 grad_norm: 7.0656 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6720 loss: 0.6720 2022/08/05 05:03:54 - mmengine - INFO - Epoch(train) [190][1760/1879] lr: 1.0000e-04 eta: 14:55:27 time: 0.4347 data_time: 0.0159 memory: 17087 grad_norm: 6.8710 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7968 loss: 0.7968 2022/08/05 05:04:02 - mmengine - INFO - Epoch(train) [190][1780/1879] lr: 1.0000e-04 eta: 14:55:18 time: 0.4315 data_time: 0.0163 memory: 17087 grad_norm: 6.7928 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8524 loss: 0.8524 2022/08/05 05:04:12 - mmengine - INFO - Epoch(train) [190][1800/1879] lr: 1.0000e-04 eta: 14:55:09 time: 0.4619 data_time: 0.0189 memory: 17087 grad_norm: 6.6687 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9097 loss: 0.9097 2022/08/05 05:04:20 - mmengine - INFO - Epoch(train) [190][1820/1879] lr: 1.0000e-04 eta: 14:55:01 time: 0.4381 data_time: 0.0195 memory: 17087 grad_norm: 6.7193 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9052 loss: 0.9052 2022/08/05 05:04:30 - mmengine - INFO - Epoch(train) [190][1840/1879] lr: 1.0000e-04 eta: 14:54:52 time: 0.4564 data_time: 0.0175 memory: 17087 grad_norm: 6.7702 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7565 loss: 0.7565 2022/08/05 05:04:38 - mmengine - INFO - Epoch(train) [190][1860/1879] lr: 1.0000e-04 eta: 14:54:44 time: 0.4307 data_time: 0.0153 memory: 17087 grad_norm: 6.7909 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8307 loss: 0.8307 2022/08/05 05:04:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 05:04:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 05:04:46 - mmengine - INFO - Epoch(train) [190][1879/1879] lr: 1.0000e-04 eta: 14:54:44 time: 0.4189 data_time: 0.0210 memory: 17087 grad_norm: 7.1581 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9847 loss: 0.9847 2022/08/05 05:04:54 - mmengine - INFO - Epoch(val) [190][20/155] eta: 0:00:50 time: 0.3741 data_time: 0.2053 memory: 2821 2022/08/05 05:04:59 - mmengine - INFO - Epoch(val) [190][40/155] eta: 0:00:27 time: 0.2420 data_time: 0.0751 memory: 2821 2022/08/05 05:05:05 - mmengine - INFO - Epoch(val) [190][60/155] eta: 0:00:30 time: 0.3199 data_time: 0.1514 memory: 2821 2022/08/05 05:05:10 - mmengine - INFO - Epoch(val) [190][80/155] eta: 0:00:19 time: 0.2577 data_time: 0.0855 memory: 2821 2022/08/05 05:05:16 - mmengine - INFO - Epoch(val) [190][100/155] eta: 0:00:17 time: 0.3127 data_time: 0.1454 memory: 2821 2022/08/05 05:05:22 - mmengine - INFO - Epoch(val) [190][120/155] eta: 0:00:09 time: 0.2671 data_time: 0.1001 memory: 2821 2022/08/05 05:05:28 - mmengine - INFO - Epoch(val) [190][140/155] eta: 0:00:04 time: 0.3171 data_time: 0.1432 memory: 2821 2022/08/05 05:05:34 - mmengine - INFO - Epoch(val) [190][155/155] acc/top1: 0.6973 acc/top5: 0.8832 acc/mean1: 0.6971 2022/08/05 05:05:45 - mmengine - INFO - Epoch(train) [191][20/1879] lr: 1.0000e-04 eta: 14:54:25 time: 0.5660 data_time: 0.1401 memory: 17087 grad_norm: 6.9399 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9216 loss: 0.9216 2022/08/05 05:05:54 - mmengine - INFO - Epoch(train) [191][40/1879] lr: 1.0000e-04 eta: 14:54:16 time: 0.4375 data_time: 0.0222 memory: 17087 grad_norm: 6.8121 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7801 loss: 0.7801 2022/08/05 05:06:03 - mmengine - INFO - Epoch(train) [191][60/1879] lr: 1.0000e-04 eta: 14:54:08 time: 0.4342 data_time: 0.0163 memory: 17087 grad_norm: 6.9111 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8199 loss: 0.8199 2022/08/05 05:06:11 - mmengine - INFO - Epoch(train) [191][80/1879] lr: 1.0000e-04 eta: 14:53:59 time: 0.4326 data_time: 0.0180 memory: 17087 grad_norm: 6.6038 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0252 loss: 1.0252 2022/08/05 05:06:20 - mmengine - INFO - Epoch(train) [191][100/1879] lr: 1.0000e-04 eta: 14:53:50 time: 0.4452 data_time: 0.0175 memory: 17087 grad_norm: 7.0700 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8062 loss: 0.8062 2022/08/05 05:06:29 - mmengine - INFO - Epoch(train) [191][120/1879] lr: 1.0000e-04 eta: 14:53:42 time: 0.4520 data_time: 0.0173 memory: 17087 grad_norm: 6.8614 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8517 loss: 0.8517 2022/08/05 05:06:38 - mmengine - INFO - Epoch(train) [191][140/1879] lr: 1.0000e-04 eta: 14:53:33 time: 0.4309 data_time: 0.0144 memory: 17087 grad_norm: 6.7786 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7919 loss: 0.7919 2022/08/05 05:06:47 - mmengine - INFO - Epoch(train) [191][160/1879] lr: 1.0000e-04 eta: 14:53:25 time: 0.4309 data_time: 0.0169 memory: 17087 grad_norm: 6.7619 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7257 loss: 0.7257 2022/08/05 05:06:55 - mmengine - INFO - Epoch(train) [191][180/1879] lr: 1.0000e-04 eta: 14:53:16 time: 0.4284 data_time: 0.0143 memory: 17087 grad_norm: 6.9165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9583 loss: 0.9583 2022/08/05 05:07:04 - mmengine - INFO - Epoch(train) [191][200/1879] lr: 1.0000e-04 eta: 14:53:07 time: 0.4504 data_time: 0.0189 memory: 17087 grad_norm: 6.9803 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9165 loss: 0.9165 2022/08/05 05:07:13 - mmengine - INFO - Epoch(train) [191][220/1879] lr: 1.0000e-04 eta: 14:52:59 time: 0.4393 data_time: 0.0212 memory: 17087 grad_norm: 6.8463 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7387 loss: 0.7387 2022/08/05 05:07:22 - mmengine - INFO - Epoch(train) [191][240/1879] lr: 1.0000e-04 eta: 14:52:50 time: 0.4354 data_time: 0.0157 memory: 17087 grad_norm: 6.8423 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9287 loss: 0.9287 2022/08/05 05:07:30 - mmengine - INFO - Epoch(train) [191][260/1879] lr: 1.0000e-04 eta: 14:52:41 time: 0.4358 data_time: 0.0186 memory: 17087 grad_norm: 6.7947 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7250 loss: 0.7250 2022/08/05 05:07:39 - mmengine - INFO - Epoch(train) [191][280/1879] lr: 1.0000e-04 eta: 14:52:33 time: 0.4345 data_time: 0.0168 memory: 17087 grad_norm: 7.1338 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8809 loss: 0.8809 2022/08/05 05:07:48 - mmengine - INFO - Epoch(train) [191][300/1879] lr: 1.0000e-04 eta: 14:52:24 time: 0.4327 data_time: 0.0158 memory: 17087 grad_norm: 6.7800 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7961 loss: 0.7961 2022/08/05 05:07:56 - mmengine - INFO - Epoch(train) [191][320/1879] lr: 1.0000e-04 eta: 14:52:15 time: 0.4300 data_time: 0.0165 memory: 17087 grad_norm: 6.8669 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9326 loss: 0.9326 2022/08/05 05:08:05 - mmengine - INFO - Epoch(train) [191][340/1879] lr: 1.0000e-04 eta: 14:52:07 time: 0.4370 data_time: 0.0173 memory: 17087 grad_norm: 6.9541 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9179 loss: 0.9179 2022/08/05 05:08:14 - mmengine - INFO - Epoch(train) [191][360/1879] lr: 1.0000e-04 eta: 14:51:58 time: 0.4368 data_time: 0.0177 memory: 17087 grad_norm: 6.7975 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9008 loss: 0.9008 2022/08/05 05:08:23 - mmengine - INFO - Epoch(train) [191][380/1879] lr: 1.0000e-04 eta: 14:51:50 time: 0.4345 data_time: 0.0174 memory: 17087 grad_norm: 6.7945 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8044 loss: 0.8044 2022/08/05 05:08:31 - mmengine - INFO - Epoch(train) [191][400/1879] lr: 1.0000e-04 eta: 14:51:41 time: 0.4325 data_time: 0.0159 memory: 17087 grad_norm: 6.9499 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8165 loss: 0.8165 2022/08/05 05:08:40 - mmengine - INFO - Epoch(train) [191][420/1879] lr: 1.0000e-04 eta: 14:51:32 time: 0.4318 data_time: 0.0156 memory: 17087 grad_norm: 7.0621 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8574 loss: 0.8574 2022/08/05 05:08:49 - mmengine - INFO - Epoch(train) [191][440/1879] lr: 1.0000e-04 eta: 14:51:24 time: 0.4558 data_time: 0.0172 memory: 17087 grad_norm: 6.8706 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9957 loss: 0.9957 2022/08/05 05:08:58 - mmengine - INFO - Epoch(train) [191][460/1879] lr: 1.0000e-04 eta: 14:51:15 time: 0.4379 data_time: 0.0202 memory: 17087 grad_norm: 6.7471 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9885 loss: 0.9885 2022/08/05 05:09:07 - mmengine - INFO - Epoch(train) [191][480/1879] lr: 1.0000e-04 eta: 14:51:06 time: 0.4324 data_time: 0.0173 memory: 17087 grad_norm: 6.8016 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7186 loss: 0.7186 2022/08/05 05:09:15 - mmengine - INFO - Epoch(train) [191][500/1879] lr: 1.0000e-04 eta: 14:50:58 time: 0.4291 data_time: 0.0142 memory: 17087 grad_norm: 7.0094 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8759 loss: 0.8759 2022/08/05 05:09:25 - mmengine - INFO - Epoch(train) [191][520/1879] lr: 1.0000e-04 eta: 14:50:49 time: 0.4667 data_time: 0.0161 memory: 17087 grad_norm: 6.9877 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7517 loss: 0.7517 2022/08/05 05:09:33 - mmengine - INFO - Epoch(train) [191][540/1879] lr: 1.0000e-04 eta: 14:50:41 time: 0.4304 data_time: 0.0161 memory: 17087 grad_norm: 6.9927 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9189 loss: 0.9189 2022/08/05 05:09:42 - mmengine - INFO - Epoch(train) [191][560/1879] lr: 1.0000e-04 eta: 14:50:32 time: 0.4415 data_time: 0.0174 memory: 17087 grad_norm: 7.0471 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0284 loss: 1.0284 2022/08/05 05:09:51 - mmengine - INFO - Epoch(train) [191][580/1879] lr: 1.0000e-04 eta: 14:50:23 time: 0.4308 data_time: 0.0178 memory: 17087 grad_norm: 6.9194 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9054 loss: 0.9054 2022/08/05 05:09:59 - mmengine - INFO - Epoch(train) [191][600/1879] lr: 1.0000e-04 eta: 14:50:15 time: 0.4381 data_time: 0.0168 memory: 17087 grad_norm: 6.9529 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8216 loss: 0.8216 2022/08/05 05:10:08 - mmengine - INFO - Epoch(train) [191][620/1879] lr: 1.0000e-04 eta: 14:50:06 time: 0.4316 data_time: 0.0163 memory: 17087 grad_norm: 6.9240 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9468 loss: 0.9468 2022/08/05 05:10:17 - mmengine - INFO - Epoch(train) [191][640/1879] lr: 1.0000e-04 eta: 14:49:57 time: 0.4288 data_time: 0.0154 memory: 17087 grad_norm: 6.9717 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8947 loss: 0.8947 2022/08/05 05:10:25 - mmengine - INFO - Epoch(train) [191][660/1879] lr: 1.0000e-04 eta: 14:49:49 time: 0.4376 data_time: 0.0165 memory: 17087 grad_norm: 6.6158 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8847 loss: 0.8847 2022/08/05 05:10:34 - mmengine - INFO - Epoch(train) [191][680/1879] lr: 1.0000e-04 eta: 14:49:40 time: 0.4308 data_time: 0.0159 memory: 17087 grad_norm: 6.8781 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7998 loss: 0.7998 2022/08/05 05:10:43 - mmengine - INFO - Epoch(train) [191][700/1879] lr: 1.0000e-04 eta: 14:49:32 time: 0.4471 data_time: 0.0158 memory: 17087 grad_norm: 7.0989 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7237 loss: 0.7237 2022/08/05 05:10:52 - mmengine - INFO - Epoch(train) [191][720/1879] lr: 1.0000e-04 eta: 14:49:23 time: 0.4305 data_time: 0.0173 memory: 17087 grad_norm: 6.6570 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8084 loss: 0.8084 2022/08/05 05:11:01 - mmengine - INFO - Epoch(train) [191][740/1879] lr: 1.0000e-04 eta: 14:49:14 time: 0.4496 data_time: 0.0168 memory: 17087 grad_norm: 6.7555 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8403 loss: 0.8403 2022/08/05 05:11:09 - mmengine - INFO - Epoch(train) [191][760/1879] lr: 1.0000e-04 eta: 14:49:06 time: 0.4323 data_time: 0.0165 memory: 17087 grad_norm: 6.8323 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8561 loss: 0.8561 2022/08/05 05:11:18 - mmengine - INFO - Epoch(train) [191][780/1879] lr: 1.0000e-04 eta: 14:48:57 time: 0.4369 data_time: 0.0160 memory: 17087 grad_norm: 6.7535 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7572 loss: 0.7572 2022/08/05 05:11:27 - mmengine - INFO - Epoch(train) [191][800/1879] lr: 1.0000e-04 eta: 14:48:48 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 6.7116 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7162 loss: 0.7162 2022/08/05 05:11:36 - mmengine - INFO - Epoch(train) [191][820/1879] lr: 1.0000e-04 eta: 14:48:40 time: 0.4546 data_time: 0.0163 memory: 17087 grad_norm: 7.1792 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8270 loss: 0.8270 2022/08/05 05:11:45 - mmengine - INFO - Epoch(train) [191][840/1879] lr: 1.0000e-04 eta: 14:48:31 time: 0.4298 data_time: 0.0149 memory: 17087 grad_norm: 7.1772 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9496 loss: 0.9496 2022/08/05 05:11:54 - mmengine - INFO - Epoch(train) [191][860/1879] lr: 1.0000e-04 eta: 14:48:23 time: 0.4656 data_time: 0.0227 memory: 17087 grad_norm: 6.7555 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8389 loss: 0.8389 2022/08/05 05:12:03 - mmengine - INFO - Epoch(train) [191][880/1879] lr: 1.0000e-04 eta: 14:48:14 time: 0.4300 data_time: 0.0165 memory: 17087 grad_norm: 7.0720 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8727 loss: 0.8727 2022/08/05 05:12:12 - mmengine - INFO - Epoch(train) [191][900/1879] lr: 1.0000e-04 eta: 14:48:06 time: 0.4707 data_time: 0.0227 memory: 17087 grad_norm: 7.0549 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8053 loss: 0.8053 2022/08/05 05:12:21 - mmengine - INFO - Epoch(train) [191][920/1879] lr: 1.0000e-04 eta: 14:47:57 time: 0.4298 data_time: 0.0164 memory: 17087 grad_norm: 7.0732 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9109 loss: 0.9109 2022/08/05 05:12:30 - mmengine - INFO - Epoch(train) [191][940/1879] lr: 1.0000e-04 eta: 14:47:49 time: 0.4561 data_time: 0.0200 memory: 17087 grad_norm: 6.9646 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9295 loss: 0.9295 2022/08/05 05:12:38 - mmengine - INFO - Epoch(train) [191][960/1879] lr: 1.0000e-04 eta: 14:47:40 time: 0.4314 data_time: 0.0153 memory: 17087 grad_norm: 6.8159 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8294 loss: 0.8294 2022/08/05 05:12:49 - mmengine - INFO - Epoch(train) [191][980/1879] lr: 1.0000e-04 eta: 14:47:32 time: 0.5393 data_time: 0.0178 memory: 17087 grad_norm: 6.6500 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8182 loss: 0.8182 2022/08/05 05:12:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 05:12:58 - mmengine - INFO - Epoch(train) [191][1000/1879] lr: 1.0000e-04 eta: 14:47:23 time: 0.4300 data_time: 0.0169 memory: 17087 grad_norm: 6.8374 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9645 loss: 0.9645 2022/08/05 05:13:06 - mmengine - INFO - Epoch(train) [191][1020/1879] lr: 1.0000e-04 eta: 14:47:15 time: 0.4335 data_time: 0.0184 memory: 17087 grad_norm: 7.3560 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9377 loss: 0.9377 2022/08/05 05:13:16 - mmengine - INFO - Epoch(train) [191][1040/1879] lr: 1.0000e-04 eta: 14:47:06 time: 0.4714 data_time: 0.0190 memory: 17087 grad_norm: 6.6468 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7728 loss: 0.7728 2022/08/05 05:13:25 - mmengine - INFO - Epoch(train) [191][1060/1879] lr: 1.0000e-04 eta: 14:46:58 time: 0.4320 data_time: 0.0160 memory: 17087 grad_norm: 6.9573 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8096 loss: 0.8096 2022/08/05 05:13:34 - mmengine - INFO - Epoch(train) [191][1080/1879] lr: 1.0000e-04 eta: 14:46:49 time: 0.4595 data_time: 0.0221 memory: 17087 grad_norm: 6.9772 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9653 loss: 0.9653 2022/08/05 05:13:42 - mmengine - INFO - Epoch(train) [191][1100/1879] lr: 1.0000e-04 eta: 14:46:40 time: 0.4296 data_time: 0.0153 memory: 17087 grad_norm: 7.0343 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9902 loss: 0.9902 2022/08/05 05:13:52 - mmengine - INFO - Epoch(train) [191][1120/1879] lr: 1.0000e-04 eta: 14:46:32 time: 0.4592 data_time: 0.0240 memory: 17087 grad_norm: 7.1775 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9798 loss: 0.9798 2022/08/05 05:14:00 - mmengine - INFO - Epoch(train) [191][1140/1879] lr: 1.0000e-04 eta: 14:46:23 time: 0.4281 data_time: 0.0133 memory: 17087 grad_norm: 7.1116 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8229 loss: 0.8229 2022/08/05 05:14:09 - mmengine - INFO - Epoch(train) [191][1160/1879] lr: 1.0000e-04 eta: 14:46:15 time: 0.4345 data_time: 0.0180 memory: 17087 grad_norm: 6.8442 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8330 loss: 0.8330 2022/08/05 05:14:17 - mmengine - INFO - Epoch(train) [191][1180/1879] lr: 1.0000e-04 eta: 14:46:06 time: 0.4312 data_time: 0.0154 memory: 17087 grad_norm: 6.8440 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7903 loss: 0.7903 2022/08/05 05:14:26 - mmengine - INFO - Epoch(train) [191][1200/1879] lr: 1.0000e-04 eta: 14:45:57 time: 0.4302 data_time: 0.0152 memory: 17087 grad_norm: 6.7806 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9762 loss: 0.9762 2022/08/05 05:14:35 - mmengine - INFO - Epoch(train) [191][1220/1879] lr: 1.0000e-04 eta: 14:45:49 time: 0.4328 data_time: 0.0142 memory: 17087 grad_norm: 6.9443 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8778 loss: 0.8778 2022/08/05 05:14:46 - mmengine - INFO - Epoch(train) [191][1240/1879] lr: 1.0000e-04 eta: 14:45:41 time: 0.5402 data_time: 0.0269 memory: 17087 grad_norm: 6.8647 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8525 loss: 0.8525 2022/08/05 05:14:54 - mmengine - INFO - Epoch(train) [191][1260/1879] lr: 1.0000e-04 eta: 14:45:32 time: 0.4340 data_time: 0.0183 memory: 17087 grad_norm: 7.0279 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0556 loss: 1.0556 2022/08/05 05:15:03 - mmengine - INFO - Epoch(train) [191][1280/1879] lr: 1.0000e-04 eta: 14:45:23 time: 0.4341 data_time: 0.0176 memory: 17087 grad_norm: 7.0596 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7878 loss: 0.7878 2022/08/05 05:15:12 - mmengine - INFO - Epoch(train) [191][1300/1879] lr: 1.0000e-04 eta: 14:45:15 time: 0.4501 data_time: 0.0169 memory: 17087 grad_norm: 7.1289 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8034 loss: 0.8034 2022/08/05 05:15:21 - mmengine - INFO - Epoch(train) [191][1320/1879] lr: 1.0000e-04 eta: 14:45:06 time: 0.4446 data_time: 0.0184 memory: 17087 grad_norm: 7.0916 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0739 loss: 1.0739 2022/08/05 05:15:30 - mmengine - INFO - Epoch(train) [191][1340/1879] lr: 1.0000e-04 eta: 14:44:58 time: 0.4323 data_time: 0.0176 memory: 17087 grad_norm: 7.0074 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8271 loss: 0.8271 2022/08/05 05:15:38 - mmengine - INFO - Epoch(train) [191][1360/1879] lr: 1.0000e-04 eta: 14:44:49 time: 0.4312 data_time: 0.0153 memory: 17087 grad_norm: 6.7462 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8412 loss: 0.8412 2022/08/05 05:15:47 - mmengine - INFO - Epoch(train) [191][1380/1879] lr: 1.0000e-04 eta: 14:44:40 time: 0.4300 data_time: 0.0159 memory: 17087 grad_norm: 6.7339 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8243 loss: 0.8243 2022/08/05 05:15:56 - mmengine - INFO - Epoch(train) [191][1400/1879] lr: 1.0000e-04 eta: 14:44:32 time: 0.4398 data_time: 0.0154 memory: 17087 grad_norm: 7.0200 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9313 loss: 0.9313 2022/08/05 05:16:04 - mmengine - INFO - Epoch(train) [191][1420/1879] lr: 1.0000e-04 eta: 14:44:23 time: 0.4323 data_time: 0.0163 memory: 17087 grad_norm: 6.7496 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7308 loss: 0.7308 2022/08/05 05:16:13 - mmengine - INFO - Epoch(train) [191][1440/1879] lr: 1.0000e-04 eta: 14:44:14 time: 0.4361 data_time: 0.0179 memory: 17087 grad_norm: 7.1654 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8169 loss: 0.8169 2022/08/05 05:16:22 - mmengine - INFO - Epoch(train) [191][1460/1879] lr: 1.0000e-04 eta: 14:44:06 time: 0.4318 data_time: 0.0163 memory: 17087 grad_norm: 7.1324 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9510 loss: 0.9510 2022/08/05 05:16:30 - mmengine - INFO - Epoch(train) [191][1480/1879] lr: 1.0000e-04 eta: 14:43:57 time: 0.4326 data_time: 0.0165 memory: 17087 grad_norm: 6.8361 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8552 loss: 0.8552 2022/08/05 05:16:40 - mmengine - INFO - Epoch(train) [191][1500/1879] lr: 1.0000e-04 eta: 14:43:49 time: 0.4691 data_time: 0.0187 memory: 17087 grad_norm: 6.9860 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7685 loss: 0.7685 2022/08/05 05:16:48 - mmengine - INFO - Epoch(train) [191][1520/1879] lr: 1.0000e-04 eta: 14:43:40 time: 0.4298 data_time: 0.0135 memory: 17087 grad_norm: 6.8330 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7067 loss: 0.7067 2022/08/05 05:16:57 - mmengine - INFO - Epoch(train) [191][1540/1879] lr: 1.0000e-04 eta: 14:43:31 time: 0.4368 data_time: 0.0239 memory: 17087 grad_norm: 6.8708 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6568 loss: 0.6568 2022/08/05 05:17:06 - mmengine - INFO - Epoch(train) [191][1560/1879] lr: 1.0000e-04 eta: 14:43:23 time: 0.4339 data_time: 0.0158 memory: 17087 grad_norm: 6.9781 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8455 loss: 0.8455 2022/08/05 05:17:15 - mmengine - INFO - Epoch(train) [191][1580/1879] lr: 1.0000e-04 eta: 14:43:14 time: 0.4318 data_time: 0.0166 memory: 17087 grad_norm: 6.5842 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6561 loss: 0.6561 2022/08/05 05:17:23 - mmengine - INFO - Epoch(train) [191][1600/1879] lr: 1.0000e-04 eta: 14:43:05 time: 0.4330 data_time: 0.0138 memory: 17087 grad_norm: 6.8777 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7670 loss: 0.7670 2022/08/05 05:17:32 - mmengine - INFO - Epoch(train) [191][1620/1879] lr: 1.0000e-04 eta: 14:42:57 time: 0.4307 data_time: 0.0155 memory: 17087 grad_norm: 6.8297 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8478 loss: 0.8478 2022/08/05 05:17:41 - mmengine - INFO - Epoch(train) [191][1640/1879] lr: 1.0000e-04 eta: 14:42:48 time: 0.4337 data_time: 0.0141 memory: 17087 grad_norm: 7.0624 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7642 loss: 0.7642 2022/08/05 05:17:49 - mmengine - INFO - Epoch(train) [191][1660/1879] lr: 1.0000e-04 eta: 14:42:39 time: 0.4323 data_time: 0.0185 memory: 17087 grad_norm: 6.9997 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9498 loss: 0.9498 2022/08/05 05:17:58 - mmengine - INFO - Epoch(train) [191][1680/1879] lr: 1.0000e-04 eta: 14:42:31 time: 0.4284 data_time: 0.0136 memory: 17087 grad_norm: 6.9288 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8223 loss: 0.8223 2022/08/05 05:18:07 - mmengine - INFO - Epoch(train) [191][1700/1879] lr: 1.0000e-04 eta: 14:42:22 time: 0.4329 data_time: 0.0186 memory: 17087 grad_norm: 7.0039 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9042 loss: 0.9042 2022/08/05 05:18:15 - mmengine - INFO - Epoch(train) [191][1720/1879] lr: 1.0000e-04 eta: 14:42:13 time: 0.4299 data_time: 0.0139 memory: 17087 grad_norm: 6.9723 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7876 loss: 0.7876 2022/08/05 05:18:24 - mmengine - INFO - Epoch(train) [191][1740/1879] lr: 1.0000e-04 eta: 14:42:05 time: 0.4317 data_time: 0.0171 memory: 17087 grad_norm: 7.1772 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6971 loss: 0.6971 2022/08/05 05:18:32 - mmengine - INFO - Epoch(train) [191][1760/1879] lr: 1.0000e-04 eta: 14:41:56 time: 0.4305 data_time: 0.0140 memory: 17087 grad_norm: 6.7119 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9512 loss: 0.9512 2022/08/05 05:18:42 - mmengine - INFO - Epoch(train) [191][1780/1879] lr: 1.0000e-04 eta: 14:41:48 time: 0.4537 data_time: 0.0170 memory: 17087 grad_norm: 6.9445 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.7998 loss: 0.7998 2022/08/05 05:18:50 - mmengine - INFO - Epoch(train) [191][1800/1879] lr: 1.0000e-04 eta: 14:41:39 time: 0.4314 data_time: 0.0151 memory: 17087 grad_norm: 6.9229 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8374 loss: 0.8374 2022/08/05 05:18:59 - mmengine - INFO - Epoch(train) [191][1820/1879] lr: 1.0000e-04 eta: 14:41:30 time: 0.4352 data_time: 0.0176 memory: 17087 grad_norm: 6.8217 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7398 loss: 0.7398 2022/08/05 05:19:07 - mmengine - INFO - Epoch(train) [191][1840/1879] lr: 1.0000e-04 eta: 14:41:22 time: 0.4288 data_time: 0.0144 memory: 17087 grad_norm: 6.9223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8182 loss: 0.8182 2022/08/05 05:19:17 - mmengine - INFO - Epoch(train) [191][1860/1879] lr: 1.0000e-04 eta: 14:41:13 time: 0.4561 data_time: 0.0173 memory: 17087 grad_norm: 6.8635 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8445 loss: 0.8445 2022/08/05 05:19:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 05:19:24 - mmengine - INFO - Epoch(train) [191][1879/1879] lr: 1.0000e-04 eta: 14:41:13 time: 0.4095 data_time: 0.0119 memory: 17087 grad_norm: 7.0748 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7977 loss: 0.7977 2022/08/05 05:19:36 - mmengine - INFO - Epoch(train) [192][20/1879] lr: 1.0000e-04 eta: 14:40:54 time: 0.5706 data_time: 0.1064 memory: 17087 grad_norm: 6.8196 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9776 loss: 0.9776 2022/08/05 05:19:47 - mmengine - INFO - Epoch(train) [192][40/1879] lr: 1.0000e-04 eta: 14:40:46 time: 0.5570 data_time: 0.0260 memory: 17087 grad_norm: 7.0200 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9388 loss: 0.9388 2022/08/05 05:19:56 - mmengine - INFO - Epoch(train) [192][60/1879] lr: 1.0000e-04 eta: 14:40:38 time: 0.4583 data_time: 0.0225 memory: 17087 grad_norm: 6.8231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9018 loss: 0.9018 2022/08/05 05:20:05 - mmengine - INFO - Epoch(train) [192][80/1879] lr: 1.0000e-04 eta: 14:40:29 time: 0.4324 data_time: 0.0129 memory: 17087 grad_norm: 6.8838 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9212 loss: 0.9212 2022/08/05 05:20:14 - mmengine - INFO - Epoch(train) [192][100/1879] lr: 1.0000e-04 eta: 14:40:21 time: 0.4366 data_time: 0.0179 memory: 17087 grad_norm: 6.7846 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9957 loss: 0.9957 2022/08/05 05:20:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 05:20:23 - mmengine - INFO - Epoch(train) [192][120/1879] lr: 1.0000e-04 eta: 14:40:12 time: 0.4476 data_time: 0.0149 memory: 17087 grad_norm: 6.8540 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9456 loss: 0.9456 2022/08/05 05:20:32 - mmengine - INFO - Epoch(train) [192][140/1879] lr: 1.0000e-04 eta: 14:40:04 time: 0.4419 data_time: 0.0192 memory: 17087 grad_norm: 6.9058 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8867 loss: 0.8867 2022/08/05 05:20:40 - mmengine - INFO - Epoch(train) [192][160/1879] lr: 1.0000e-04 eta: 14:39:55 time: 0.4333 data_time: 0.0164 memory: 17087 grad_norm: 6.8801 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9237 loss: 0.9237 2022/08/05 05:20:49 - mmengine - INFO - Epoch(train) [192][180/1879] lr: 1.0000e-04 eta: 14:39:46 time: 0.4364 data_time: 0.0169 memory: 17087 grad_norm: 6.9613 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8456 loss: 0.8456 2022/08/05 05:20:58 - mmengine - INFO - Epoch(train) [192][200/1879] lr: 1.0000e-04 eta: 14:39:38 time: 0.4291 data_time: 0.0170 memory: 17087 grad_norm: 6.8872 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8173 loss: 0.8173 2022/08/05 05:21:06 - mmengine - INFO - Epoch(train) [192][220/1879] lr: 1.0000e-04 eta: 14:39:29 time: 0.4312 data_time: 0.0160 memory: 17087 grad_norm: 6.6136 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7455 loss: 0.7455 2022/08/05 05:21:15 - mmengine - INFO - Epoch(train) [192][240/1879] lr: 1.0000e-04 eta: 14:39:20 time: 0.4388 data_time: 0.0162 memory: 17087 grad_norm: 6.9870 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9001 loss: 0.9001 2022/08/05 05:21:24 - mmengine - INFO - Epoch(train) [192][260/1879] lr: 1.0000e-04 eta: 14:39:12 time: 0.4314 data_time: 0.0164 memory: 17087 grad_norm: 7.0584 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8423 loss: 0.8423 2022/08/05 05:21:32 - mmengine - INFO - Epoch(train) [192][280/1879] lr: 1.0000e-04 eta: 14:39:03 time: 0.4416 data_time: 0.0170 memory: 17087 grad_norm: 6.7177 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8221 loss: 0.8221 2022/08/05 05:21:41 - mmengine - INFO - Epoch(train) [192][300/1879] lr: 1.0000e-04 eta: 14:38:54 time: 0.4381 data_time: 0.0157 memory: 17087 grad_norm: 7.0144 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9011 loss: 0.9011 2022/08/05 05:21:50 - mmengine - INFO - Epoch(train) [192][320/1879] lr: 1.0000e-04 eta: 14:38:46 time: 0.4373 data_time: 0.0176 memory: 17087 grad_norm: 6.8020 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7231 loss: 0.7231 2022/08/05 05:21:59 - mmengine - INFO - Epoch(train) [192][340/1879] lr: 1.0000e-04 eta: 14:38:37 time: 0.4486 data_time: 0.0158 memory: 17087 grad_norm: 6.7997 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7771 loss: 0.7771 2022/08/05 05:22:08 - mmengine - INFO - Epoch(train) [192][360/1879] lr: 1.0000e-04 eta: 14:38:29 time: 0.4320 data_time: 0.0152 memory: 17087 grad_norm: 7.1963 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8157 loss: 0.8157 2022/08/05 05:22:16 - mmengine - INFO - Epoch(train) [192][380/1879] lr: 1.0000e-04 eta: 14:38:20 time: 0.4371 data_time: 0.0172 memory: 17087 grad_norm: 6.9350 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7080 loss: 0.7080 2022/08/05 05:22:25 - mmengine - INFO - Epoch(train) [192][400/1879] lr: 1.0000e-04 eta: 14:38:11 time: 0.4292 data_time: 0.0125 memory: 17087 grad_norm: 7.0944 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9454 loss: 0.9454 2022/08/05 05:22:34 - mmengine - INFO - Epoch(train) [192][420/1879] lr: 1.0000e-04 eta: 14:38:03 time: 0.4364 data_time: 0.0170 memory: 17087 grad_norm: 7.1280 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8011 loss: 0.8011 2022/08/05 05:22:42 - mmengine - INFO - Epoch(train) [192][440/1879] lr: 1.0000e-04 eta: 14:37:54 time: 0.4305 data_time: 0.0156 memory: 17087 grad_norm: 6.9941 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9172 loss: 0.9172 2022/08/05 05:22:52 - mmengine - INFO - Epoch(train) [192][460/1879] lr: 1.0000e-04 eta: 14:37:46 time: 0.4658 data_time: 0.0181 memory: 17087 grad_norm: 6.6808 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8842 loss: 0.8842 2022/08/05 05:23:00 - mmengine - INFO - Epoch(train) [192][480/1879] lr: 1.0000e-04 eta: 14:37:37 time: 0.4296 data_time: 0.0149 memory: 17087 grad_norm: 6.8584 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8458 loss: 0.8458 2022/08/05 05:23:10 - mmengine - INFO - Epoch(train) [192][500/1879] lr: 1.0000e-04 eta: 14:37:28 time: 0.4551 data_time: 0.0167 memory: 17087 grad_norm: 6.9976 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8843 loss: 0.8843 2022/08/05 05:23:18 - mmengine - INFO - Epoch(train) [192][520/1879] lr: 1.0000e-04 eta: 14:37:20 time: 0.4297 data_time: 0.0148 memory: 17087 grad_norm: 6.9720 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9166 loss: 0.9166 2022/08/05 05:23:27 - mmengine - INFO - Epoch(train) [192][540/1879] lr: 1.0000e-04 eta: 14:37:11 time: 0.4306 data_time: 0.0179 memory: 17087 grad_norm: 6.9591 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9058 loss: 0.9058 2022/08/05 05:23:36 - mmengine - INFO - Epoch(train) [192][560/1879] lr: 1.0000e-04 eta: 14:37:02 time: 0.4509 data_time: 0.0168 memory: 17087 grad_norm: 7.1142 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8248 loss: 0.8248 2022/08/05 05:23:44 - mmengine - INFO - Epoch(train) [192][580/1879] lr: 1.0000e-04 eta: 14:36:54 time: 0.4308 data_time: 0.0165 memory: 17087 grad_norm: 7.0021 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7930 loss: 0.7930 2022/08/05 05:23:54 - mmengine - INFO - Epoch(train) [192][600/1879] lr: 1.0000e-04 eta: 14:36:45 time: 0.4845 data_time: 0.0169 memory: 17087 grad_norm: 6.7142 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9128 loss: 0.9128 2022/08/05 05:24:03 - mmengine - INFO - Epoch(train) [192][620/1879] lr: 1.0000e-04 eta: 14:36:37 time: 0.4299 data_time: 0.0173 memory: 17087 grad_norm: 7.0673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0018 loss: 1.0018 2022/08/05 05:24:12 - mmengine - INFO - Epoch(train) [192][640/1879] lr: 1.0000e-04 eta: 14:36:28 time: 0.4539 data_time: 0.0172 memory: 17087 grad_norm: 6.8488 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6980 loss: 0.6980 2022/08/05 05:24:20 - mmengine - INFO - Epoch(train) [192][660/1879] lr: 1.0000e-04 eta: 14:36:20 time: 0.4299 data_time: 0.0159 memory: 17087 grad_norm: 6.9210 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8132 loss: 0.8132 2022/08/05 05:24:29 - mmengine - INFO - Epoch(train) [192][680/1879] lr: 1.0000e-04 eta: 14:36:11 time: 0.4461 data_time: 0.0150 memory: 17087 grad_norm: 6.9765 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7765 loss: 0.7765 2022/08/05 05:24:38 - mmengine - INFO - Epoch(train) [192][700/1879] lr: 1.0000e-04 eta: 14:36:02 time: 0.4322 data_time: 0.0160 memory: 17087 grad_norm: 6.9943 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8594 loss: 0.8594 2022/08/05 05:24:47 - mmengine - INFO - Epoch(train) [192][720/1879] lr: 1.0000e-04 eta: 14:35:54 time: 0.4300 data_time: 0.0140 memory: 17087 grad_norm: 6.9434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8817 loss: 0.8817 2022/08/05 05:24:56 - mmengine - INFO - Epoch(train) [192][740/1879] lr: 1.0000e-04 eta: 14:35:45 time: 0.4517 data_time: 0.0156 memory: 17087 grad_norm: 6.7491 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8493 loss: 0.8493 2022/08/05 05:25:04 - mmengine - INFO - Epoch(train) [192][760/1879] lr: 1.0000e-04 eta: 14:35:36 time: 0.4290 data_time: 0.0152 memory: 17087 grad_norm: 6.8385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7933 loss: 0.7933 2022/08/05 05:25:14 - mmengine - INFO - Epoch(train) [192][780/1879] lr: 1.0000e-04 eta: 14:35:28 time: 0.4563 data_time: 0.0170 memory: 17087 grad_norm: 6.9235 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8792 loss: 0.8792 2022/08/05 05:25:22 - mmengine - INFO - Epoch(train) [192][800/1879] lr: 1.0000e-04 eta: 14:35:19 time: 0.4343 data_time: 0.0152 memory: 17087 grad_norm: 6.7228 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7516 loss: 0.7516 2022/08/05 05:25:31 - mmengine - INFO - Epoch(train) [192][820/1879] lr: 1.0000e-04 eta: 14:35:11 time: 0.4303 data_time: 0.0148 memory: 17087 grad_norm: 6.7616 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8003 loss: 0.8003 2022/08/05 05:25:40 - mmengine - INFO - Epoch(train) [192][840/1879] lr: 1.0000e-04 eta: 14:35:02 time: 0.4372 data_time: 0.0169 memory: 17087 grad_norm: 7.1311 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9345 loss: 0.9345 2022/08/05 05:25:48 - mmengine - INFO - Epoch(train) [192][860/1879] lr: 1.0000e-04 eta: 14:34:53 time: 0.4303 data_time: 0.0170 memory: 17087 grad_norm: 6.9593 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8091 loss: 0.8091 2022/08/05 05:25:57 - mmengine - INFO - Epoch(train) [192][880/1879] lr: 1.0000e-04 eta: 14:34:45 time: 0.4299 data_time: 0.0149 memory: 17087 grad_norm: 6.9037 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7914 loss: 0.7914 2022/08/05 05:26:06 - mmengine - INFO - Epoch(train) [192][900/1879] lr: 1.0000e-04 eta: 14:34:36 time: 0.4548 data_time: 0.0170 memory: 17087 grad_norm: 6.8445 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7774 loss: 0.7774 2022/08/05 05:26:15 - mmengine - INFO - Epoch(train) [192][920/1879] lr: 1.0000e-04 eta: 14:34:28 time: 0.4339 data_time: 0.0182 memory: 17087 grad_norm: 6.9379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9003 loss: 0.9003 2022/08/05 05:26:23 - mmengine - INFO - Epoch(train) [192][940/1879] lr: 1.0000e-04 eta: 14:34:19 time: 0.4371 data_time: 0.0170 memory: 17087 grad_norm: 7.0019 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9561 loss: 0.9561 2022/08/05 05:26:32 - mmengine - INFO - Epoch(train) [192][960/1879] lr: 1.0000e-04 eta: 14:34:10 time: 0.4298 data_time: 0.0150 memory: 17087 grad_norm: 6.8598 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9354 loss: 0.9354 2022/08/05 05:26:41 - mmengine - INFO - Epoch(train) [192][980/1879] lr: 1.0000e-04 eta: 14:34:02 time: 0.4327 data_time: 0.0185 memory: 17087 grad_norm: 7.2737 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8910 loss: 0.8910 2022/08/05 05:26:49 - mmengine - INFO - Epoch(train) [192][1000/1879] lr: 1.0000e-04 eta: 14:33:53 time: 0.4278 data_time: 0.0142 memory: 17087 grad_norm: 6.7342 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9209 loss: 0.9209 2022/08/05 05:26:58 - mmengine - INFO - Epoch(train) [192][1020/1879] lr: 1.0000e-04 eta: 14:33:44 time: 0.4306 data_time: 0.0166 memory: 17087 grad_norm: 6.8133 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8644 loss: 0.8644 2022/08/05 05:27:07 - mmengine - INFO - Epoch(train) [192][1040/1879] lr: 1.0000e-04 eta: 14:33:36 time: 0.4371 data_time: 0.0150 memory: 17087 grad_norm: 7.0536 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8687 loss: 0.8687 2022/08/05 05:27:15 - mmengine - INFO - Epoch(train) [192][1060/1879] lr: 1.0000e-04 eta: 14:33:27 time: 0.4322 data_time: 0.0167 memory: 17087 grad_norm: 7.0316 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7945 loss: 0.7945 2022/08/05 05:27:24 - mmengine - INFO - Epoch(train) [192][1080/1879] lr: 1.0000e-04 eta: 14:33:18 time: 0.4320 data_time: 0.0147 memory: 17087 grad_norm: 6.7143 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8288 loss: 0.8288 2022/08/05 05:27:33 - mmengine - INFO - Epoch(train) [192][1100/1879] lr: 1.0000e-04 eta: 14:33:10 time: 0.4328 data_time: 0.0176 memory: 17087 grad_norm: 6.9221 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7232 loss: 0.7232 2022/08/05 05:27:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 05:27:42 - mmengine - INFO - Epoch(train) [192][1120/1879] lr: 1.0000e-04 eta: 14:33:01 time: 0.4489 data_time: 0.0152 memory: 17087 grad_norm: 6.6220 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7882 loss: 0.7882 2022/08/05 05:27:50 - mmengine - INFO - Epoch(train) [192][1140/1879] lr: 1.0000e-04 eta: 14:32:52 time: 0.4374 data_time: 0.0208 memory: 17087 grad_norm: 6.9277 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6905 loss: 0.6905 2022/08/05 05:27:59 - mmengine - INFO - Epoch(train) [192][1160/1879] lr: 1.0000e-04 eta: 14:32:44 time: 0.4321 data_time: 0.0154 memory: 17087 grad_norm: 7.2174 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7830 loss: 0.7830 2022/08/05 05:28:08 - mmengine - INFO - Epoch(train) [192][1180/1879] lr: 1.0000e-04 eta: 14:32:35 time: 0.4305 data_time: 0.0150 memory: 17087 grad_norm: 6.8868 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8579 loss: 0.8579 2022/08/05 05:28:19 - mmengine - INFO - Epoch(train) [192][1200/1879] lr: 1.0000e-04 eta: 14:32:27 time: 0.5368 data_time: 0.0170 memory: 17087 grad_norm: 6.8584 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8086 loss: 0.8086 2022/08/05 05:28:27 - mmengine - INFO - Epoch(train) [192][1220/1879] lr: 1.0000e-04 eta: 14:32:19 time: 0.4446 data_time: 0.0202 memory: 17087 grad_norm: 7.0732 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8519 loss: 0.8519 2022/08/05 05:28:36 - mmengine - INFO - Epoch(train) [192][1240/1879] lr: 1.0000e-04 eta: 14:32:10 time: 0.4314 data_time: 0.0166 memory: 17087 grad_norm: 6.9684 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9063 loss: 0.9063 2022/08/05 05:28:45 - mmengine - INFO - Epoch(train) [192][1260/1879] lr: 1.0000e-04 eta: 14:32:01 time: 0.4302 data_time: 0.0162 memory: 17087 grad_norm: 6.7217 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8075 loss: 0.8075 2022/08/05 05:28:53 - mmengine - INFO - Epoch(train) [192][1280/1879] lr: 1.0000e-04 eta: 14:31:53 time: 0.4357 data_time: 0.0138 memory: 17087 grad_norm: 6.9431 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9328 loss: 0.9328 2022/08/05 05:29:02 - mmengine - INFO - Epoch(train) [192][1300/1879] lr: 1.0000e-04 eta: 14:31:44 time: 0.4309 data_time: 0.0160 memory: 17087 grad_norm: 6.8606 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9657 loss: 0.9657 2022/08/05 05:29:11 - mmengine - INFO - Epoch(train) [192][1320/1879] lr: 1.0000e-04 eta: 14:31:35 time: 0.4687 data_time: 0.0160 memory: 17087 grad_norm: 7.0052 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0300 loss: 1.0300 2022/08/05 05:29:20 - mmengine - INFO - Epoch(train) [192][1340/1879] lr: 1.0000e-04 eta: 14:31:27 time: 0.4327 data_time: 0.0171 memory: 17087 grad_norm: 6.8815 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8602 loss: 0.8602 2022/08/05 05:29:29 - mmengine - INFO - Epoch(train) [192][1360/1879] lr: 1.0000e-04 eta: 14:31:18 time: 0.4286 data_time: 0.0137 memory: 17087 grad_norm: 7.1958 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7069 loss: 0.7069 2022/08/05 05:29:38 - mmengine - INFO - Epoch(train) [192][1380/1879] lr: 1.0000e-04 eta: 14:31:09 time: 0.4373 data_time: 0.0182 memory: 17087 grad_norm: 6.9870 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9404 loss: 0.9404 2022/08/05 05:29:46 - mmengine - INFO - Epoch(train) [192][1400/1879] lr: 1.0000e-04 eta: 14:31:01 time: 0.4282 data_time: 0.0159 memory: 17087 grad_norm: 6.9434 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7914 loss: 0.7914 2022/08/05 05:29:55 - mmengine - INFO - Epoch(train) [192][1420/1879] lr: 1.0000e-04 eta: 14:30:52 time: 0.4541 data_time: 0.0176 memory: 17087 grad_norm: 6.8097 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6881 loss: 0.6881 2022/08/05 05:30:04 - mmengine - INFO - Epoch(train) [192][1440/1879] lr: 1.0000e-04 eta: 14:30:44 time: 0.4290 data_time: 0.0148 memory: 17087 grad_norm: 6.7656 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9490 loss: 0.9490 2022/08/05 05:30:13 - mmengine - INFO - Epoch(train) [192][1460/1879] lr: 1.0000e-04 eta: 14:30:35 time: 0.4685 data_time: 0.0173 memory: 17087 grad_norm: 6.9321 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8943 loss: 0.8943 2022/08/05 05:30:22 - mmengine - INFO - Epoch(train) [192][1480/1879] lr: 1.0000e-04 eta: 14:30:27 time: 0.4283 data_time: 0.0145 memory: 17087 grad_norm: 6.7122 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7160 loss: 0.7160 2022/08/05 05:30:31 - mmengine - INFO - Epoch(train) [192][1500/1879] lr: 1.0000e-04 eta: 14:30:18 time: 0.4394 data_time: 0.0176 memory: 17087 grad_norm: 6.9655 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9773 loss: 0.9773 2022/08/05 05:30:39 - mmengine - INFO - Epoch(train) [192][1520/1879] lr: 1.0000e-04 eta: 14:30:09 time: 0.4297 data_time: 0.0141 memory: 17087 grad_norm: 6.7264 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6721 loss: 0.6721 2022/08/05 05:30:48 - mmengine - INFO - Epoch(train) [192][1540/1879] lr: 1.0000e-04 eta: 14:30:01 time: 0.4302 data_time: 0.0153 memory: 17087 grad_norm: 6.9794 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9148 loss: 0.9148 2022/08/05 05:30:56 - mmengine - INFO - Epoch(train) [192][1560/1879] lr: 1.0000e-04 eta: 14:29:52 time: 0.4323 data_time: 0.0155 memory: 17087 grad_norm: 6.8231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8560 loss: 0.8560 2022/08/05 05:31:05 - mmengine - INFO - Epoch(train) [192][1580/1879] lr: 1.0000e-04 eta: 14:29:43 time: 0.4300 data_time: 0.0169 memory: 17087 grad_norm: 6.8081 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9486 loss: 0.9486 2022/08/05 05:31:14 - mmengine - INFO - Epoch(train) [192][1600/1879] lr: 1.0000e-04 eta: 14:29:35 time: 0.4311 data_time: 0.0151 memory: 17087 grad_norm: 6.7805 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7124 loss: 0.7124 2022/08/05 05:31:22 - mmengine - INFO - Epoch(train) [192][1620/1879] lr: 1.0000e-04 eta: 14:29:26 time: 0.4310 data_time: 0.0168 memory: 17087 grad_norm: 6.7086 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8758 loss: 0.8758 2022/08/05 05:31:31 - mmengine - INFO - Epoch(train) [192][1640/1879] lr: 1.0000e-04 eta: 14:29:17 time: 0.4535 data_time: 0.0160 memory: 17087 grad_norm: 6.8392 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0156 loss: 1.0156 2022/08/05 05:31:40 - mmengine - INFO - Epoch(train) [192][1660/1879] lr: 1.0000e-04 eta: 14:29:09 time: 0.4323 data_time: 0.0182 memory: 17087 grad_norm: 7.0850 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8794 loss: 0.8794 2022/08/05 05:31:49 - mmengine - INFO - Epoch(train) [192][1680/1879] lr: 1.0000e-04 eta: 14:29:00 time: 0.4397 data_time: 0.0138 memory: 17087 grad_norm: 6.8139 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9850 loss: 0.9850 2022/08/05 05:31:58 - mmengine - INFO - Epoch(train) [192][1700/1879] lr: 1.0000e-04 eta: 14:28:51 time: 0.4333 data_time: 0.0165 memory: 17087 grad_norm: 6.9057 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9453 loss: 0.9453 2022/08/05 05:32:07 - mmengine - INFO - Epoch(train) [192][1720/1879] lr: 1.0000e-04 eta: 14:28:43 time: 0.4439 data_time: 0.0163 memory: 17087 grad_norm: 6.8899 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8385 loss: 0.8385 2022/08/05 05:32:15 - mmengine - INFO - Epoch(train) [192][1740/1879] lr: 1.0000e-04 eta: 14:28:34 time: 0.4355 data_time: 0.0163 memory: 17087 grad_norm: 6.9265 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7342 loss: 0.7342 2022/08/05 05:32:24 - mmengine - INFO - Epoch(train) [192][1760/1879] lr: 1.0000e-04 eta: 14:28:26 time: 0.4429 data_time: 0.0179 memory: 17087 grad_norm: 7.0275 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0113 loss: 1.0113 2022/08/05 05:32:33 - mmengine - INFO - Epoch(train) [192][1780/1879] lr: 1.0000e-04 eta: 14:28:17 time: 0.4304 data_time: 0.0170 memory: 17087 grad_norm: 7.1981 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8982 loss: 0.8982 2022/08/05 05:32:42 - mmengine - INFO - Epoch(train) [192][1800/1879] lr: 1.0000e-04 eta: 14:28:08 time: 0.4433 data_time: 0.0145 memory: 17087 grad_norm: 6.9009 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8175 loss: 0.8175 2022/08/05 05:32:50 - mmengine - INFO - Epoch(train) [192][1820/1879] lr: 1.0000e-04 eta: 14:28:00 time: 0.4348 data_time: 0.0163 memory: 17087 grad_norm: 7.0631 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9189 loss: 0.9189 2022/08/05 05:32:59 - mmengine - INFO - Epoch(train) [192][1840/1879] lr: 1.0000e-04 eta: 14:27:51 time: 0.4280 data_time: 0.0150 memory: 17087 grad_norm: 6.6776 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7670 loss: 0.7670 2022/08/05 05:33:08 - mmengine - INFO - Epoch(train) [192][1860/1879] lr: 1.0000e-04 eta: 14:27:42 time: 0.4471 data_time: 0.0168 memory: 17087 grad_norm: 6.8734 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8101 loss: 0.8101 2022/08/05 05:33:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 05:33:16 - mmengine - INFO - Epoch(train) [192][1879/1879] lr: 1.0000e-04 eta: 14:27:42 time: 0.4102 data_time: 0.0135 memory: 17087 grad_norm: 7.0175 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8727 loss: 0.8727 2022/08/05 05:33:16 - mmengine - INFO - Saving checkpoint at 192 epochs 2022/08/05 05:33:30 - mmengine - INFO - Epoch(train) [193][20/1879] lr: 1.0000e-04 eta: 14:27:23 time: 0.5218 data_time: 0.1031 memory: 17087 grad_norm: 6.6642 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.7762 loss: 0.7762 2022/08/05 05:33:39 - mmengine - INFO - Epoch(train) [193][40/1879] lr: 1.0000e-04 eta: 14:27:15 time: 0.4395 data_time: 0.0250 memory: 17087 grad_norm: 7.0786 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8478 loss: 0.8478 2022/08/05 05:33:48 - mmengine - INFO - Epoch(train) [193][60/1879] lr: 1.0000e-04 eta: 14:27:06 time: 0.4359 data_time: 0.0134 memory: 17087 grad_norm: 6.8499 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8152 loss: 0.8152 2022/08/05 05:33:57 - mmengine - INFO - Epoch(train) [193][80/1879] lr: 1.0000e-04 eta: 14:26:58 time: 0.4500 data_time: 0.0169 memory: 17087 grad_norm: 6.6084 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9040 loss: 0.9040 2022/08/05 05:34:06 - mmengine - INFO - Epoch(train) [193][100/1879] lr: 1.0000e-04 eta: 14:26:49 time: 0.4313 data_time: 0.0153 memory: 17087 grad_norm: 6.6338 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8940 loss: 0.8940 2022/08/05 05:34:15 - mmengine - INFO - Epoch(train) [193][120/1879] lr: 1.0000e-04 eta: 14:26:40 time: 0.4546 data_time: 0.0181 memory: 17087 grad_norm: 7.0028 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9248 loss: 0.9248 2022/08/05 05:34:23 - mmengine - INFO - Epoch(train) [193][140/1879] lr: 1.0000e-04 eta: 14:26:32 time: 0.4338 data_time: 0.0146 memory: 17087 grad_norm: 6.7744 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7362 loss: 0.7362 2022/08/05 05:34:32 - mmengine - INFO - Epoch(train) [193][160/1879] lr: 1.0000e-04 eta: 14:26:23 time: 0.4305 data_time: 0.0175 memory: 17087 grad_norm: 6.9620 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8537 loss: 0.8537 2022/08/05 05:34:41 - mmengine - INFO - Epoch(train) [193][180/1879] lr: 1.0000e-04 eta: 14:26:14 time: 0.4339 data_time: 0.0182 memory: 17087 grad_norm: 6.6751 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9682 loss: 0.9682 2022/08/05 05:34:49 - mmengine - INFO - Epoch(train) [193][200/1879] lr: 1.0000e-04 eta: 14:26:06 time: 0.4291 data_time: 0.0166 memory: 17087 grad_norm: 6.9253 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8315 loss: 0.8315 2022/08/05 05:34:58 - mmengine - INFO - Epoch(train) [193][220/1879] lr: 1.0000e-04 eta: 14:25:57 time: 0.4287 data_time: 0.0135 memory: 17087 grad_norm: 6.9774 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8651 loss: 0.8651 2022/08/05 05:35:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 05:35:07 - mmengine - INFO - Epoch(train) [193][240/1879] lr: 1.0000e-04 eta: 14:25:49 time: 0.4602 data_time: 0.0184 memory: 17087 grad_norm: 6.9394 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8872 loss: 0.8872 2022/08/05 05:35:16 - mmengine - INFO - Epoch(train) [193][260/1879] lr: 1.0000e-04 eta: 14:25:40 time: 0.4326 data_time: 0.0176 memory: 17087 grad_norm: 7.0641 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7946 loss: 0.7946 2022/08/05 05:35:25 - mmengine - INFO - Epoch(train) [193][280/1879] lr: 1.0000e-04 eta: 14:25:31 time: 0.4568 data_time: 0.0180 memory: 17087 grad_norm: 6.8455 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7227 loss: 0.7227 2022/08/05 05:35:34 - mmengine - INFO - Epoch(train) [193][300/1879] lr: 1.0000e-04 eta: 14:25:23 time: 0.4294 data_time: 0.0152 memory: 17087 grad_norm: 6.9817 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0169 loss: 1.0169 2022/08/05 05:35:43 - mmengine - INFO - Epoch(train) [193][320/1879] lr: 1.0000e-04 eta: 14:25:14 time: 0.4583 data_time: 0.0226 memory: 17087 grad_norm: 6.8666 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7221 loss: 0.7221 2022/08/05 05:35:51 - mmengine - INFO - Epoch(train) [193][340/1879] lr: 1.0000e-04 eta: 14:25:06 time: 0.4322 data_time: 0.0181 memory: 17087 grad_norm: 6.7061 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7372 loss: 0.7372 2022/08/05 05:36:00 - mmengine - INFO - Epoch(train) [193][360/1879] lr: 1.0000e-04 eta: 14:24:57 time: 0.4556 data_time: 0.0167 memory: 17087 grad_norm: 6.7894 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8683 loss: 0.8683 2022/08/05 05:36:09 - mmengine - INFO - Epoch(train) [193][380/1879] lr: 1.0000e-04 eta: 14:24:48 time: 0.4306 data_time: 0.0132 memory: 17087 grad_norm: 7.0583 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8359 loss: 0.8359 2022/08/05 05:36:18 - mmengine - INFO - Epoch(train) [193][400/1879] lr: 1.0000e-04 eta: 14:24:40 time: 0.4360 data_time: 0.0204 memory: 17087 grad_norm: 6.6948 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8197 loss: 0.8197 2022/08/05 05:36:27 - mmengine - INFO - Epoch(train) [193][420/1879] lr: 1.0000e-04 eta: 14:24:31 time: 0.4573 data_time: 0.0158 memory: 17087 grad_norm: 6.9582 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8101 loss: 0.8101 2022/08/05 05:36:36 - mmengine - INFO - Epoch(train) [193][440/1879] lr: 1.0000e-04 eta: 14:24:23 time: 0.4289 data_time: 0.0158 memory: 17087 grad_norm: 6.8985 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8116 loss: 0.8116 2022/08/05 05:36:45 - mmengine - INFO - Epoch(train) [193][460/1879] lr: 1.0000e-04 eta: 14:24:14 time: 0.4703 data_time: 0.0200 memory: 17087 grad_norm: 7.1254 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0718 loss: 1.0718 2022/08/05 05:36:54 - mmengine - INFO - Epoch(train) [193][480/1879] lr: 1.0000e-04 eta: 14:24:06 time: 0.4305 data_time: 0.0165 memory: 17087 grad_norm: 6.9548 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9361 loss: 0.9361 2022/08/05 05:37:03 - mmengine - INFO - Epoch(train) [193][500/1879] lr: 1.0000e-04 eta: 14:23:57 time: 0.4656 data_time: 0.0205 memory: 17087 grad_norm: 6.7963 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7643 loss: 0.7643 2022/08/05 05:37:12 - mmengine - INFO - Epoch(train) [193][520/1879] lr: 1.0000e-04 eta: 14:23:48 time: 0.4345 data_time: 0.0209 memory: 17087 grad_norm: 7.0139 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8112 loss: 0.8112 2022/08/05 05:37:21 - mmengine - INFO - Epoch(train) [193][540/1879] lr: 1.0000e-04 eta: 14:23:40 time: 0.4665 data_time: 0.0137 memory: 17087 grad_norm: 6.5758 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7984 loss: 0.7984 2022/08/05 05:37:30 - mmengine - INFO - Epoch(train) [193][560/1879] lr: 1.0000e-04 eta: 14:23:31 time: 0.4303 data_time: 0.0167 memory: 17087 grad_norm: 6.8338 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7898 loss: 0.7898 2022/08/05 05:37:38 - mmengine - INFO - Epoch(train) [193][580/1879] lr: 1.0000e-04 eta: 14:23:23 time: 0.4326 data_time: 0.0175 memory: 17087 grad_norm: 6.9435 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8691 loss: 0.8691 2022/08/05 05:37:48 - mmengine - INFO - Epoch(train) [193][600/1879] lr: 1.0000e-04 eta: 14:23:14 time: 0.4612 data_time: 0.0179 memory: 17087 grad_norm: 7.0157 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8635 loss: 0.8635 2022/08/05 05:37:56 - mmengine - INFO - Epoch(train) [193][620/1879] lr: 1.0000e-04 eta: 14:23:06 time: 0.4344 data_time: 0.0195 memory: 17087 grad_norm: 6.7255 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7076 loss: 0.7076 2022/08/05 05:38:05 - mmengine - INFO - Epoch(train) [193][640/1879] lr: 1.0000e-04 eta: 14:22:57 time: 0.4364 data_time: 0.0177 memory: 17087 grad_norm: 6.9424 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7663 loss: 0.7663 2022/08/05 05:38:14 - mmengine - INFO - Epoch(train) [193][660/1879] lr: 1.0000e-04 eta: 14:22:48 time: 0.4296 data_time: 0.0151 memory: 17087 grad_norm: 6.6673 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7257 loss: 0.7257 2022/08/05 05:38:23 - mmengine - INFO - Epoch(train) [193][680/1879] lr: 1.0000e-04 eta: 14:22:40 time: 0.4505 data_time: 0.0179 memory: 17087 grad_norm: 6.9077 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9461 loss: 0.9461 2022/08/05 05:38:31 - mmengine - INFO - Epoch(train) [193][700/1879] lr: 1.0000e-04 eta: 14:22:31 time: 0.4325 data_time: 0.0182 memory: 17087 grad_norm: 6.6794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7303 loss: 0.7303 2022/08/05 05:38:40 - mmengine - INFO - Epoch(train) [193][720/1879] lr: 1.0000e-04 eta: 14:22:22 time: 0.4394 data_time: 0.0177 memory: 17087 grad_norm: 7.0435 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8185 loss: 0.8185 2022/08/05 05:38:49 - mmengine - INFO - Epoch(train) [193][740/1879] lr: 1.0000e-04 eta: 14:22:14 time: 0.4563 data_time: 0.0152 memory: 17087 grad_norm: 6.8227 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6487 loss: 0.6487 2022/08/05 05:38:58 - mmengine - INFO - Epoch(train) [193][760/1879] lr: 1.0000e-04 eta: 14:22:05 time: 0.4407 data_time: 0.0222 memory: 17087 grad_norm: 6.9709 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7667 loss: 0.7667 2022/08/05 05:39:07 - mmengine - INFO - Epoch(train) [193][780/1879] lr: 1.0000e-04 eta: 14:21:57 time: 0.4273 data_time: 0.0139 memory: 17087 grad_norm: 6.9331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8627 loss: 0.8627 2022/08/05 05:39:16 - mmengine - INFO - Epoch(train) [193][800/1879] lr: 1.0000e-04 eta: 14:21:48 time: 0.4422 data_time: 0.0170 memory: 17087 grad_norm: 6.7962 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9938 loss: 0.9938 2022/08/05 05:39:24 - mmengine - INFO - Epoch(train) [193][820/1879] lr: 1.0000e-04 eta: 14:21:39 time: 0.4293 data_time: 0.0151 memory: 17087 grad_norm: 6.7697 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8297 loss: 0.8297 2022/08/05 05:39:33 - mmengine - INFO - Epoch(train) [193][840/1879] lr: 1.0000e-04 eta: 14:21:31 time: 0.4364 data_time: 0.0171 memory: 17087 grad_norm: 6.9951 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8749 loss: 0.8749 2022/08/05 05:39:42 - mmengine - INFO - Epoch(train) [193][860/1879] lr: 1.0000e-04 eta: 14:21:22 time: 0.4286 data_time: 0.0130 memory: 17087 grad_norm: 6.6909 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7874 loss: 0.7874 2022/08/05 05:39:50 - mmengine - INFO - Epoch(train) [193][880/1879] lr: 1.0000e-04 eta: 14:21:13 time: 0.4342 data_time: 0.0170 memory: 17087 grad_norm: 6.8116 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8745 loss: 0.8745 2022/08/05 05:39:59 - mmengine - INFO - Epoch(train) [193][900/1879] lr: 1.0000e-04 eta: 14:21:05 time: 0.4465 data_time: 0.0155 memory: 17087 grad_norm: 6.8829 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7908 loss: 0.7908 2022/08/05 05:40:08 - mmengine - INFO - Epoch(train) [193][920/1879] lr: 1.0000e-04 eta: 14:20:56 time: 0.4320 data_time: 0.0172 memory: 17087 grad_norm: 7.0093 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8816 loss: 0.8816 2022/08/05 05:40:17 - mmengine - INFO - Epoch(train) [193][940/1879] lr: 1.0000e-04 eta: 14:20:48 time: 0.4395 data_time: 0.0167 memory: 17087 grad_norm: 6.8063 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8401 loss: 0.8401 2022/08/05 05:40:25 - mmengine - INFO - Epoch(train) [193][960/1879] lr: 1.0000e-04 eta: 14:20:39 time: 0.4308 data_time: 0.0163 memory: 17087 grad_norm: 7.1695 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7751 loss: 0.7751 2022/08/05 05:40:34 - mmengine - INFO - Epoch(train) [193][980/1879] lr: 1.0000e-04 eta: 14:20:30 time: 0.4360 data_time: 0.0168 memory: 17087 grad_norm: 7.0962 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8454 loss: 0.8454 2022/08/05 05:40:43 - mmengine - INFO - Epoch(train) [193][1000/1879] lr: 1.0000e-04 eta: 14:20:22 time: 0.4317 data_time: 0.0159 memory: 17087 grad_norm: 6.4442 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8543 loss: 0.8543 2022/08/05 05:40:51 - mmengine - INFO - Epoch(train) [193][1020/1879] lr: 1.0000e-04 eta: 14:20:13 time: 0.4340 data_time: 0.0164 memory: 17087 grad_norm: 7.1195 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9298 loss: 0.9298 2022/08/05 05:41:00 - mmengine - INFO - Epoch(train) [193][1040/1879] lr: 1.0000e-04 eta: 14:20:04 time: 0.4296 data_time: 0.0172 memory: 17087 grad_norm: 6.8795 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9252 loss: 0.9252 2022/08/05 05:41:09 - mmengine - INFO - Epoch(train) [193][1060/1879] lr: 1.0000e-04 eta: 14:19:56 time: 0.4297 data_time: 0.0131 memory: 17087 grad_norm: 7.2770 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9022 loss: 0.9022 2022/08/05 05:41:17 - mmengine - INFO - Epoch(train) [193][1080/1879] lr: 1.0000e-04 eta: 14:19:47 time: 0.4345 data_time: 0.0177 memory: 17087 grad_norm: 6.9712 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8013 loss: 0.8013 2022/08/05 05:41:26 - mmengine - INFO - Epoch(train) [193][1100/1879] lr: 1.0000e-04 eta: 14:19:38 time: 0.4294 data_time: 0.0152 memory: 17087 grad_norm: 7.1737 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9790 loss: 0.9790 2022/08/05 05:41:35 - mmengine - INFO - Epoch(train) [193][1120/1879] lr: 1.0000e-04 eta: 14:19:30 time: 0.4507 data_time: 0.0170 memory: 17087 grad_norm: 6.9657 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7312 loss: 0.7312 2022/08/05 05:41:44 - mmengine - INFO - Epoch(train) [193][1140/1879] lr: 1.0000e-04 eta: 14:19:21 time: 0.4345 data_time: 0.0137 memory: 17087 grad_norm: 6.9611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9602 loss: 0.9602 2022/08/05 05:41:53 - mmengine - INFO - Epoch(train) [193][1160/1879] lr: 1.0000e-04 eta: 14:19:13 time: 0.4548 data_time: 0.0172 memory: 17087 grad_norm: 6.8372 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7497 loss: 0.7497 2022/08/05 05:42:01 - mmengine - INFO - Epoch(train) [193][1180/1879] lr: 1.0000e-04 eta: 14:19:04 time: 0.4291 data_time: 0.0162 memory: 17087 grad_norm: 6.9549 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9066 loss: 0.9066 2022/08/05 05:42:11 - mmengine - INFO - Epoch(train) [193][1200/1879] lr: 1.0000e-04 eta: 14:18:55 time: 0.4589 data_time: 0.0200 memory: 17087 grad_norm: 6.8467 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6463 loss: 0.6463 2022/08/05 05:42:19 - mmengine - INFO - Epoch(train) [193][1220/1879] lr: 1.0000e-04 eta: 14:18:47 time: 0.4303 data_time: 0.0146 memory: 17087 grad_norm: 7.0141 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6715 loss: 0.6715 2022/08/05 05:42:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 05:42:28 - mmengine - INFO - Epoch(train) [193][1240/1879] lr: 1.0000e-04 eta: 14:18:38 time: 0.4411 data_time: 0.0184 memory: 17087 grad_norm: 6.7324 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6565 loss: 0.6565 2022/08/05 05:42:37 - mmengine - INFO - Epoch(train) [193][1260/1879] lr: 1.0000e-04 eta: 14:18:29 time: 0.4313 data_time: 0.0144 memory: 17087 grad_norm: 6.8907 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8246 loss: 0.8246 2022/08/05 05:42:46 - mmengine - INFO - Epoch(train) [193][1280/1879] lr: 1.0000e-04 eta: 14:18:21 time: 0.4554 data_time: 0.0186 memory: 17087 grad_norm: 6.8088 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8151 loss: 0.8151 2022/08/05 05:42:55 - mmengine - INFO - Epoch(train) [193][1300/1879] lr: 1.0000e-04 eta: 14:18:12 time: 0.4328 data_time: 0.0151 memory: 17087 grad_norm: 6.6710 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7941 loss: 0.7941 2022/08/05 05:43:04 - mmengine - INFO - Epoch(train) [193][1320/1879] lr: 1.0000e-04 eta: 14:18:04 time: 0.4575 data_time: 0.0221 memory: 17087 grad_norm: 7.0291 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9796 loss: 0.9796 2022/08/05 05:43:12 - mmengine - INFO - Epoch(train) [193][1340/1879] lr: 1.0000e-04 eta: 14:17:55 time: 0.4290 data_time: 0.0147 memory: 17087 grad_norm: 6.7021 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8047 loss: 0.8047 2022/08/05 05:43:21 - mmengine - INFO - Epoch(train) [193][1360/1879] lr: 1.0000e-04 eta: 14:17:47 time: 0.4487 data_time: 0.0235 memory: 17087 grad_norm: 6.8545 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9173 loss: 0.9173 2022/08/05 05:43:30 - mmengine - INFO - Epoch(train) [193][1380/1879] lr: 1.0000e-04 eta: 14:17:38 time: 0.4294 data_time: 0.0149 memory: 17087 grad_norm: 6.8936 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6054 loss: 0.6054 2022/08/05 05:43:39 - mmengine - INFO - Epoch(train) [193][1400/1879] lr: 1.0000e-04 eta: 14:17:29 time: 0.4308 data_time: 0.0163 memory: 17087 grad_norm: 6.9566 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7997 loss: 0.7997 2022/08/05 05:43:47 - mmengine - INFO - Epoch(train) [193][1420/1879] lr: 1.0000e-04 eta: 14:17:21 time: 0.4394 data_time: 0.0161 memory: 17087 grad_norm: 6.8193 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7683 loss: 0.7683 2022/08/05 05:43:56 - mmengine - INFO - Epoch(train) [193][1440/1879] lr: 1.0000e-04 eta: 14:17:12 time: 0.4338 data_time: 0.0182 memory: 17087 grad_norm: 7.0844 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0286 loss: 1.0286 2022/08/05 05:44:05 - mmengine - INFO - Epoch(train) [193][1460/1879] lr: 1.0000e-04 eta: 14:17:03 time: 0.4337 data_time: 0.0161 memory: 17087 grad_norm: 7.1411 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9162 loss: 0.9162 2022/08/05 05:44:13 - mmengine - INFO - Epoch(train) [193][1480/1879] lr: 1.0000e-04 eta: 14:16:55 time: 0.4296 data_time: 0.0156 memory: 17087 grad_norm: 6.6237 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7026 loss: 0.7026 2022/08/05 05:44:22 - mmengine - INFO - Epoch(train) [193][1500/1879] lr: 1.0000e-04 eta: 14:16:46 time: 0.4334 data_time: 0.0165 memory: 17087 grad_norm: 6.7170 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8323 loss: 0.8323 2022/08/05 05:44:31 - mmengine - INFO - Epoch(train) [193][1520/1879] lr: 1.0000e-04 eta: 14:16:37 time: 0.4297 data_time: 0.0155 memory: 17087 grad_norm: 6.8833 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8562 loss: 0.8562 2022/08/05 05:44:39 - mmengine - INFO - Epoch(train) [193][1540/1879] lr: 1.0000e-04 eta: 14:16:29 time: 0.4308 data_time: 0.0142 memory: 17087 grad_norm: 6.8219 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7809 loss: 0.7809 2022/08/05 05:44:48 - mmengine - INFO - Epoch(train) [193][1560/1879] lr: 1.0000e-04 eta: 14:16:20 time: 0.4537 data_time: 0.0158 memory: 17087 grad_norm: 6.8673 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8863 loss: 0.8863 2022/08/05 05:44:57 - mmengine - INFO - Epoch(train) [193][1580/1879] lr: 1.0000e-04 eta: 14:16:11 time: 0.4287 data_time: 0.0136 memory: 17087 grad_norm: 6.8984 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9498 loss: 0.9498 2022/08/05 05:45:06 - mmengine - INFO - Epoch(train) [193][1600/1879] lr: 1.0000e-04 eta: 14:16:03 time: 0.4369 data_time: 0.0226 memory: 17087 grad_norm: 7.3343 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9228 loss: 0.9228 2022/08/05 05:45:14 - mmengine - INFO - Epoch(train) [193][1620/1879] lr: 1.0000e-04 eta: 14:15:54 time: 0.4289 data_time: 0.0145 memory: 17087 grad_norm: 7.2380 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9672 loss: 0.9672 2022/08/05 05:45:23 - mmengine - INFO - Epoch(train) [193][1640/1879] lr: 1.0000e-04 eta: 14:15:45 time: 0.4329 data_time: 0.0171 memory: 17087 grad_norm: 6.8356 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9437 loss: 0.9437 2022/08/05 05:45:32 - mmengine - INFO - Epoch(train) [193][1660/1879] lr: 1.0000e-04 eta: 14:15:37 time: 0.4271 data_time: 0.0146 memory: 17087 grad_norm: 6.9621 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.5981 loss: 0.5981 2022/08/05 05:45:40 - mmengine - INFO - Epoch(train) [193][1680/1879] lr: 1.0000e-04 eta: 14:15:28 time: 0.4308 data_time: 0.0162 memory: 17087 grad_norm: 6.8348 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6747 loss: 0.6747 2022/08/05 05:45:49 - mmengine - INFO - Epoch(train) [193][1700/1879] lr: 1.0000e-04 eta: 14:15:20 time: 0.4507 data_time: 0.0149 memory: 17087 grad_norm: 7.1790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9514 loss: 0.9514 2022/08/05 05:45:58 - mmengine - INFO - Epoch(train) [193][1720/1879] lr: 1.0000e-04 eta: 14:15:11 time: 0.4307 data_time: 0.0159 memory: 17087 grad_norm: 6.9144 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.8984 loss: 0.8984 2022/08/05 05:46:07 - mmengine - INFO - Epoch(train) [193][1740/1879] lr: 1.0000e-04 eta: 14:15:02 time: 0.4319 data_time: 0.0150 memory: 17087 grad_norm: 7.3697 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8683 loss: 0.8683 2022/08/05 05:46:15 - mmengine - INFO - Epoch(train) [193][1760/1879] lr: 1.0000e-04 eta: 14:14:54 time: 0.4301 data_time: 0.0174 memory: 17087 grad_norm: 6.9041 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9527 loss: 0.9527 2022/08/05 05:46:24 - mmengine - INFO - Epoch(train) [193][1780/1879] lr: 1.0000e-04 eta: 14:14:45 time: 0.4535 data_time: 0.0159 memory: 17087 grad_norm: 6.7036 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8233 loss: 0.8233 2022/08/05 05:46:33 - mmengine - INFO - Epoch(train) [193][1800/1879] lr: 1.0000e-04 eta: 14:14:36 time: 0.4320 data_time: 0.0169 memory: 17087 grad_norm: 6.9046 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8545 loss: 0.8545 2022/08/05 05:46:42 - mmengine - INFO - Epoch(train) [193][1820/1879] lr: 1.0000e-04 eta: 14:14:28 time: 0.4333 data_time: 0.0164 memory: 17087 grad_norm: 6.8593 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8503 loss: 0.8503 2022/08/05 05:46:50 - mmengine - INFO - Epoch(train) [193][1840/1879] lr: 1.0000e-04 eta: 14:14:19 time: 0.4290 data_time: 0.0161 memory: 17087 grad_norm: 6.9160 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7216 loss: 0.7216 2022/08/05 05:46:59 - mmengine - INFO - Epoch(train) [193][1860/1879] lr: 1.0000e-04 eta: 14:14:10 time: 0.4300 data_time: 0.0148 memory: 17087 grad_norm: 6.9579 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9870 loss: 0.9870 2022/08/05 05:47:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 05:47:07 - mmengine - INFO - Epoch(train) [193][1879/1879] lr: 1.0000e-04 eta: 14:14:10 time: 0.4135 data_time: 0.0145 memory: 17087 grad_norm: 7.2607 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.9538 loss: 0.9538 2022/08/05 05:47:18 - mmengine - INFO - Epoch(train) [194][20/1879] lr: 1.0000e-04 eta: 14:13:52 time: 0.5502 data_time: 0.1030 memory: 17087 grad_norm: 6.8040 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7914 loss: 0.7914 2022/08/05 05:47:27 - mmengine - INFO - Epoch(train) [194][40/1879] lr: 1.0000e-04 eta: 14:13:43 time: 0.4441 data_time: 0.0173 memory: 17087 grad_norm: 7.1943 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8233 loss: 0.8233 2022/08/05 05:47:35 - mmengine - INFO - Epoch(train) [194][60/1879] lr: 1.0000e-04 eta: 14:13:34 time: 0.4287 data_time: 0.0137 memory: 17087 grad_norm: 6.9987 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0410 loss: 1.0410 2022/08/05 05:47:44 - mmengine - INFO - Epoch(train) [194][80/1879] lr: 1.0000e-04 eta: 14:13:26 time: 0.4470 data_time: 0.0172 memory: 17087 grad_norm: 6.9500 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8714 loss: 0.8714 2022/08/05 05:47:53 - mmengine - INFO - Epoch(train) [194][100/1879] lr: 1.0000e-04 eta: 14:13:17 time: 0.4319 data_time: 0.0140 memory: 17087 grad_norm: 6.7757 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6654 loss: 0.6654 2022/08/05 05:48:02 - mmengine - INFO - Epoch(train) [194][120/1879] lr: 1.0000e-04 eta: 14:13:08 time: 0.4420 data_time: 0.0230 memory: 17087 grad_norm: 7.3014 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8999 loss: 0.8999 2022/08/05 05:48:10 - mmengine - INFO - Epoch(train) [194][140/1879] lr: 1.0000e-04 eta: 14:13:00 time: 0.4298 data_time: 0.0151 memory: 17087 grad_norm: 6.9515 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7852 loss: 0.7852 2022/08/05 05:48:19 - mmengine - INFO - Epoch(train) [194][160/1879] lr: 1.0000e-04 eta: 14:12:51 time: 0.4324 data_time: 0.0165 memory: 17087 grad_norm: 6.9154 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8908 loss: 0.8908 2022/08/05 05:48:28 - mmengine - INFO - Epoch(train) [194][180/1879] lr: 1.0000e-04 eta: 14:12:43 time: 0.4509 data_time: 0.0140 memory: 17087 grad_norm: 6.7201 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7842 loss: 0.7842 2022/08/05 05:48:37 - mmengine - INFO - Epoch(train) [194][200/1879] lr: 1.0000e-04 eta: 14:12:34 time: 0.4311 data_time: 0.0190 memory: 17087 grad_norm: 7.0249 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9296 loss: 0.9296 2022/08/05 05:48:46 - mmengine - INFO - Epoch(train) [194][220/1879] lr: 1.0000e-04 eta: 14:12:25 time: 0.4399 data_time: 0.0207 memory: 17087 grad_norm: 6.9553 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8285 loss: 0.8285 2022/08/05 05:48:54 - mmengine - INFO - Epoch(train) [194][240/1879] lr: 1.0000e-04 eta: 14:12:17 time: 0.4312 data_time: 0.0167 memory: 17087 grad_norm: 6.8000 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9781 loss: 0.9781 2022/08/05 05:49:03 - mmengine - INFO - Epoch(train) [194][260/1879] lr: 1.0000e-04 eta: 14:12:08 time: 0.4340 data_time: 0.0148 memory: 17087 grad_norm: 6.7253 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7995 loss: 0.7995 2022/08/05 05:49:12 - mmengine - INFO - Epoch(train) [194][280/1879] lr: 1.0000e-04 eta: 14:11:59 time: 0.4315 data_time: 0.0160 memory: 17087 grad_norm: 6.9220 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7324 loss: 0.7324 2022/08/05 05:49:20 - mmengine - INFO - Epoch(train) [194][300/1879] lr: 1.0000e-04 eta: 14:11:51 time: 0.4289 data_time: 0.0150 memory: 17087 grad_norm: 6.8872 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8811 loss: 0.8811 2022/08/05 05:49:29 - mmengine - INFO - Epoch(train) [194][320/1879] lr: 1.0000e-04 eta: 14:11:42 time: 0.4601 data_time: 0.0172 memory: 17087 grad_norm: 7.0033 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7706 loss: 0.7706 2022/08/05 05:49:38 - mmengine - INFO - Epoch(train) [194][340/1879] lr: 1.0000e-04 eta: 14:11:33 time: 0.4354 data_time: 0.0209 memory: 17087 grad_norm: 6.8280 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8343 loss: 0.8343 2022/08/05 05:49:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 05:49:47 - mmengine - INFO - Epoch(train) [194][360/1879] lr: 1.0000e-04 eta: 14:11:25 time: 0.4427 data_time: 0.0162 memory: 17087 grad_norm: 6.6100 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7487 loss: 0.7487 2022/08/05 05:49:56 - mmengine - INFO - Epoch(train) [194][380/1879] lr: 1.0000e-04 eta: 14:11:16 time: 0.4344 data_time: 0.0180 memory: 17087 grad_norm: 6.9862 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9102 loss: 0.9102 2022/08/05 05:50:04 - mmengine - INFO - Epoch(train) [194][400/1879] lr: 1.0000e-04 eta: 14:11:08 time: 0.4344 data_time: 0.0179 memory: 17087 grad_norm: 6.8134 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9130 loss: 0.9130 2022/08/05 05:50:13 - mmengine - INFO - Epoch(train) [194][420/1879] lr: 1.0000e-04 eta: 14:10:59 time: 0.4280 data_time: 0.0151 memory: 17087 grad_norm: 6.6222 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8178 loss: 0.8178 2022/08/05 05:50:22 - mmengine - INFO - Epoch(train) [194][440/1879] lr: 1.0000e-04 eta: 14:10:50 time: 0.4544 data_time: 0.0186 memory: 17087 grad_norm: 7.2717 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8482 loss: 0.8482 2022/08/05 05:50:31 - mmengine - INFO - Epoch(train) [194][460/1879] lr: 1.0000e-04 eta: 14:10:42 time: 0.4277 data_time: 0.0132 memory: 17087 grad_norm: 6.8523 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7128 loss: 0.7128 2022/08/05 05:50:39 - mmengine - INFO - Epoch(train) [194][480/1879] lr: 1.0000e-04 eta: 14:10:33 time: 0.4316 data_time: 0.0178 memory: 17087 grad_norm: 7.0878 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8625 loss: 0.8625 2022/08/05 05:50:49 - mmengine - INFO - Epoch(train) [194][500/1879] lr: 1.0000e-04 eta: 14:10:25 time: 0.4900 data_time: 0.0149 memory: 17087 grad_norm: 7.2166 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9596 loss: 0.9596 2022/08/05 05:50:58 - mmengine - INFO - Epoch(train) [194][520/1879] lr: 1.0000e-04 eta: 14:10:16 time: 0.4324 data_time: 0.0166 memory: 17087 grad_norm: 6.9237 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7249 loss: 0.7249 2022/08/05 05:51:06 - mmengine - INFO - Epoch(train) [194][540/1879] lr: 1.0000e-04 eta: 14:10:07 time: 0.4321 data_time: 0.0143 memory: 17087 grad_norm: 6.8297 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7304 loss: 0.7304 2022/08/05 05:51:16 - mmengine - INFO - Epoch(train) [194][560/1879] lr: 1.0000e-04 eta: 14:09:59 time: 0.4576 data_time: 0.0178 memory: 17087 grad_norm: 6.9931 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8866 loss: 0.8866 2022/08/05 05:51:24 - mmengine - INFO - Epoch(train) [194][580/1879] lr: 1.0000e-04 eta: 14:09:50 time: 0.4296 data_time: 0.0151 memory: 17087 grad_norm: 7.0463 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9884 loss: 0.9884 2022/08/05 05:51:33 - mmengine - INFO - Epoch(train) [194][600/1879] lr: 1.0000e-04 eta: 14:09:42 time: 0.4390 data_time: 0.0185 memory: 17087 grad_norm: 7.0877 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9545 loss: 0.9545 2022/08/05 05:51:42 - mmengine - INFO - Epoch(train) [194][620/1879] lr: 1.0000e-04 eta: 14:09:33 time: 0.4295 data_time: 0.0149 memory: 17087 grad_norm: 6.8436 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8760 loss: 0.8760 2022/08/05 05:51:50 - mmengine - INFO - Epoch(train) [194][640/1879] lr: 1.0000e-04 eta: 14:09:24 time: 0.4311 data_time: 0.0160 memory: 17087 grad_norm: 6.7844 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0880 loss: 1.0880 2022/08/05 05:51:59 - mmengine - INFO - Epoch(train) [194][660/1879] lr: 1.0000e-04 eta: 14:09:16 time: 0.4346 data_time: 0.0161 memory: 17087 grad_norm: 6.8286 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8258 loss: 0.8258 2022/08/05 05:52:08 - mmengine - INFO - Epoch(train) [194][680/1879] lr: 1.0000e-04 eta: 14:09:07 time: 0.4330 data_time: 0.0172 memory: 17087 grad_norm: 6.6163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8084 loss: 0.8084 2022/08/05 05:52:17 - mmengine - INFO - Epoch(train) [194][700/1879] lr: 1.0000e-04 eta: 14:08:58 time: 0.4484 data_time: 0.0150 memory: 17087 grad_norm: 6.8170 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7280 loss: 0.7280 2022/08/05 05:52:25 - mmengine - INFO - Epoch(train) [194][720/1879] lr: 1.0000e-04 eta: 14:08:50 time: 0.4352 data_time: 0.0158 memory: 17087 grad_norm: 6.9698 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9011 loss: 0.9011 2022/08/05 05:52:34 - mmengine - INFO - Epoch(train) [194][740/1879] lr: 1.0000e-04 eta: 14:08:41 time: 0.4534 data_time: 0.0165 memory: 17087 grad_norm: 6.8037 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7164 loss: 0.7164 2022/08/05 05:52:43 - mmengine - INFO - Epoch(train) [194][760/1879] lr: 1.0000e-04 eta: 14:08:33 time: 0.4313 data_time: 0.0167 memory: 17087 grad_norm: 6.9397 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8919 loss: 0.8919 2022/08/05 05:52:52 - mmengine - INFO - Epoch(train) [194][780/1879] lr: 1.0000e-04 eta: 14:08:24 time: 0.4389 data_time: 0.0175 memory: 17087 grad_norm: 6.9390 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7873 loss: 0.7873 2022/08/05 05:53:01 - mmengine - INFO - Epoch(train) [194][800/1879] lr: 1.0000e-04 eta: 14:08:15 time: 0.4322 data_time: 0.0173 memory: 17087 grad_norm: 6.7855 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8049 loss: 0.8049 2022/08/05 05:53:09 - mmengine - INFO - Epoch(train) [194][820/1879] lr: 1.0000e-04 eta: 14:08:07 time: 0.4299 data_time: 0.0141 memory: 17087 grad_norm: 6.9445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9217 loss: 0.9217 2022/08/05 05:53:18 - mmengine - INFO - Epoch(train) [194][840/1879] lr: 1.0000e-04 eta: 14:07:58 time: 0.4618 data_time: 0.0178 memory: 17087 grad_norm: 6.6909 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8825 loss: 0.8825 2022/08/05 05:53:27 - mmengine - INFO - Epoch(train) [194][860/1879] lr: 1.0000e-04 eta: 14:07:49 time: 0.4307 data_time: 0.0152 memory: 17087 grad_norm: 6.8678 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8033 loss: 0.8033 2022/08/05 05:53:36 - mmengine - INFO - Epoch(train) [194][880/1879] lr: 1.0000e-04 eta: 14:07:41 time: 0.4441 data_time: 0.0170 memory: 17087 grad_norm: 7.2096 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7991 loss: 0.7991 2022/08/05 05:53:45 - mmengine - INFO - Epoch(train) [194][900/1879] lr: 1.0000e-04 eta: 14:07:32 time: 0.4315 data_time: 0.0148 memory: 17087 grad_norm: 6.7879 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9262 loss: 0.9262 2022/08/05 05:53:53 - mmengine - INFO - Epoch(train) [194][920/1879] lr: 1.0000e-04 eta: 14:07:24 time: 0.4379 data_time: 0.0176 memory: 17087 grad_norm: 6.7358 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8082 loss: 0.8082 2022/08/05 05:54:02 - mmengine - INFO - Epoch(train) [194][940/1879] lr: 1.0000e-04 eta: 14:07:15 time: 0.4356 data_time: 0.0154 memory: 17087 grad_norm: 6.6307 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8675 loss: 0.8675 2022/08/05 05:54:11 - mmengine - INFO - Epoch(train) [194][960/1879] lr: 1.0000e-04 eta: 14:07:06 time: 0.4322 data_time: 0.0169 memory: 17087 grad_norm: 6.9733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7411 loss: 0.7411 2022/08/05 05:54:20 - mmengine - INFO - Epoch(train) [194][980/1879] lr: 1.0000e-04 eta: 14:06:58 time: 0.4336 data_time: 0.0159 memory: 17087 grad_norm: 7.0849 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7900 loss: 0.7900 2022/08/05 05:54:28 - mmengine - INFO - Epoch(train) [194][1000/1879] lr: 1.0000e-04 eta: 14:06:49 time: 0.4304 data_time: 0.0158 memory: 17087 grad_norm: 7.0480 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0674 loss: 1.0674 2022/08/05 05:54:37 - mmengine - INFO - Epoch(train) [194][1020/1879] lr: 1.0000e-04 eta: 14:06:40 time: 0.4500 data_time: 0.0157 memory: 17087 grad_norm: 6.9396 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7736 loss: 0.7736 2022/08/05 05:54:46 - mmengine - INFO - Epoch(train) [194][1040/1879] lr: 1.0000e-04 eta: 14:06:32 time: 0.4289 data_time: 0.0157 memory: 17087 grad_norm: 7.1057 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8775 loss: 0.8775 2022/08/05 05:54:55 - mmengine - INFO - Epoch(train) [194][1060/1879] lr: 1.0000e-04 eta: 14:06:23 time: 0.4491 data_time: 0.0152 memory: 17087 grad_norm: 7.0493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9277 loss: 0.9277 2022/08/05 05:55:03 - mmengine - INFO - Epoch(train) [194][1080/1879] lr: 1.0000e-04 eta: 14:06:15 time: 0.4328 data_time: 0.0172 memory: 17087 grad_norm: 6.9073 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8329 loss: 0.8329 2022/08/05 05:55:12 - mmengine - INFO - Epoch(train) [194][1100/1879] lr: 1.0000e-04 eta: 14:06:06 time: 0.4449 data_time: 0.0149 memory: 17087 grad_norm: 6.8757 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8104 loss: 0.8104 2022/08/05 05:55:21 - mmengine - INFO - Epoch(train) [194][1120/1879] lr: 1.0000e-04 eta: 14:05:57 time: 0.4358 data_time: 0.0176 memory: 17087 grad_norm: 6.7977 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7107 loss: 0.7107 2022/08/05 05:55:30 - mmengine - INFO - Epoch(train) [194][1140/1879] lr: 1.0000e-04 eta: 14:05:49 time: 0.4309 data_time: 0.0141 memory: 17087 grad_norm: 7.0763 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8117 loss: 0.8117 2022/08/05 05:55:38 - mmengine - INFO - Epoch(train) [194][1160/1879] lr: 1.0000e-04 eta: 14:05:40 time: 0.4350 data_time: 0.0176 memory: 17087 grad_norm: 6.7872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7634 loss: 0.7634 2022/08/05 05:55:47 - mmengine - INFO - Epoch(train) [194][1180/1879] lr: 1.0000e-04 eta: 14:05:31 time: 0.4322 data_time: 0.0156 memory: 17087 grad_norm: 6.9417 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7336 loss: 0.7336 2022/08/05 05:55:56 - mmengine - INFO - Epoch(train) [194][1200/1879] lr: 1.0000e-04 eta: 14:05:23 time: 0.4370 data_time: 0.0170 memory: 17087 grad_norm: 6.8246 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9034 loss: 0.9034 2022/08/05 05:56:05 - mmengine - INFO - Epoch(train) [194][1220/1879] lr: 1.0000e-04 eta: 14:05:14 time: 0.4351 data_time: 0.0150 memory: 17087 grad_norm: 6.7589 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8781 loss: 0.8781 2022/08/05 05:56:14 - mmengine - INFO - Epoch(train) [194][1240/1879] lr: 1.0000e-04 eta: 14:05:06 time: 0.4543 data_time: 0.0171 memory: 17087 grad_norm: 6.6377 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8207 loss: 0.8207 2022/08/05 05:56:22 - mmengine - INFO - Epoch(train) [194][1260/1879] lr: 1.0000e-04 eta: 14:04:57 time: 0.4311 data_time: 0.0149 memory: 17087 grad_norm: 6.8570 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7250 loss: 0.7250 2022/08/05 05:56:31 - mmengine - INFO - Epoch(train) [194][1280/1879] lr: 1.0000e-04 eta: 14:04:48 time: 0.4310 data_time: 0.0168 memory: 17087 grad_norm: 6.8413 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5921 loss: 0.5921 2022/08/05 05:56:40 - mmengine - INFO - Epoch(train) [194][1300/1879] lr: 1.0000e-04 eta: 14:04:40 time: 0.4322 data_time: 0.0157 memory: 17087 grad_norm: 7.0517 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9255 loss: 0.9255 2022/08/05 05:56:48 - mmengine - INFO - Epoch(train) [194][1320/1879] lr: 1.0000e-04 eta: 14:04:31 time: 0.4324 data_time: 0.0165 memory: 17087 grad_norm: 6.7473 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8346 loss: 0.8346 2022/08/05 05:56:58 - mmengine - INFO - Epoch(train) [194][1340/1879] lr: 1.0000e-04 eta: 14:04:22 time: 0.4579 data_time: 0.0170 memory: 17087 grad_norm: 6.8923 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7580 loss: 0.7580 2022/08/05 05:57:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 05:57:06 - mmengine - INFO - Epoch(train) [194][1360/1879] lr: 1.0000e-04 eta: 14:04:14 time: 0.4367 data_time: 0.0172 memory: 17087 grad_norm: 6.8925 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7109 loss: 0.7109 2022/08/05 05:57:15 - mmengine - INFO - Epoch(train) [194][1380/1879] lr: 1.0000e-04 eta: 14:04:05 time: 0.4299 data_time: 0.0150 memory: 17087 grad_norm: 7.0636 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8462 loss: 0.8462 2022/08/05 05:57:24 - mmengine - INFO - Epoch(train) [194][1400/1879] lr: 1.0000e-04 eta: 14:03:57 time: 0.4564 data_time: 0.0198 memory: 17087 grad_norm: 6.9991 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9328 loss: 0.9328 2022/08/05 05:57:33 - mmengine - INFO - Epoch(train) [194][1420/1879] lr: 1.0000e-04 eta: 14:03:48 time: 0.4297 data_time: 0.0147 memory: 17087 grad_norm: 6.9442 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7937 loss: 0.7937 2022/08/05 05:57:41 - mmengine - INFO - Epoch(train) [194][1440/1879] lr: 1.0000e-04 eta: 14:03:39 time: 0.4352 data_time: 0.0205 memory: 17087 grad_norm: 6.9740 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6420 loss: 0.6420 2022/08/05 05:57:51 - mmengine - INFO - Epoch(train) [194][1460/1879] lr: 1.0000e-04 eta: 14:03:31 time: 0.4641 data_time: 0.0171 memory: 17087 grad_norm: 6.9142 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9150 loss: 0.9150 2022/08/05 05:57:59 - mmengine - INFO - Epoch(train) [194][1480/1879] lr: 1.0000e-04 eta: 14:03:22 time: 0.4317 data_time: 0.0164 memory: 17087 grad_norm: 6.8025 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9639 loss: 0.9639 2022/08/05 05:58:09 - mmengine - INFO - Epoch(train) [194][1500/1879] lr: 1.0000e-04 eta: 14:03:14 time: 0.4670 data_time: 0.0161 memory: 17087 grad_norm: 7.3639 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8306 loss: 0.8306 2022/08/05 05:58:17 - mmengine - INFO - Epoch(train) [194][1520/1879] lr: 1.0000e-04 eta: 14:03:05 time: 0.4373 data_time: 0.0249 memory: 17087 grad_norm: 6.7319 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6674 loss: 0.6674 2022/08/05 05:58:26 - mmengine - INFO - Epoch(train) [194][1540/1879] lr: 1.0000e-04 eta: 14:02:56 time: 0.4347 data_time: 0.0176 memory: 17087 grad_norm: 6.8444 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8185 loss: 0.8185 2022/08/05 05:58:35 - mmengine - INFO - Epoch(train) [194][1560/1879] lr: 1.0000e-04 eta: 14:02:48 time: 0.4313 data_time: 0.0164 memory: 17087 grad_norm: 6.8796 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8968 loss: 0.8968 2022/08/05 05:58:44 - mmengine - INFO - Epoch(train) [194][1580/1879] lr: 1.0000e-04 eta: 14:02:39 time: 0.4624 data_time: 0.0187 memory: 17087 grad_norm: 6.8016 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8176 loss: 0.8176 2022/08/05 05:58:53 - mmengine - INFO - Epoch(train) [194][1600/1879] lr: 1.0000e-04 eta: 14:02:31 time: 0.4350 data_time: 0.0197 memory: 17087 grad_norm: 7.0514 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8276 loss: 0.8276 2022/08/05 05:59:01 - mmengine - INFO - Epoch(train) [194][1620/1879] lr: 1.0000e-04 eta: 14:02:22 time: 0.4291 data_time: 0.0140 memory: 17087 grad_norm: 7.0417 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8295 loss: 0.8295 2022/08/05 05:59:10 - mmengine - INFO - Epoch(train) [194][1640/1879] lr: 1.0000e-04 eta: 14:02:13 time: 0.4322 data_time: 0.0168 memory: 17087 grad_norm: 7.0561 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7987 loss: 0.7987 2022/08/05 05:59:19 - mmengine - INFO - Epoch(train) [194][1660/1879] lr: 1.0000e-04 eta: 14:02:05 time: 0.4309 data_time: 0.0149 memory: 17087 grad_norm: 6.9464 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7894 loss: 0.7894 2022/08/05 05:59:28 - mmengine - INFO - Epoch(train) [194][1680/1879] lr: 1.0000e-04 eta: 14:01:56 time: 0.4472 data_time: 0.0187 memory: 17087 grad_norm: 7.2168 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8119 loss: 0.8119 2022/08/05 05:59:36 - mmengine - INFO - Epoch(train) [194][1700/1879] lr: 1.0000e-04 eta: 14:01:47 time: 0.4350 data_time: 0.0215 memory: 17087 grad_norm: 6.8255 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8983 loss: 0.8983 2022/08/05 05:59:45 - mmengine - INFO - Epoch(train) [194][1720/1879] lr: 1.0000e-04 eta: 14:01:39 time: 0.4491 data_time: 0.0157 memory: 17087 grad_norm: 6.9680 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6967 loss: 0.6967 2022/08/05 05:59:54 - mmengine - INFO - Epoch(train) [194][1740/1879] lr: 1.0000e-04 eta: 14:01:30 time: 0.4334 data_time: 0.0153 memory: 17087 grad_norm: 7.0001 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9250 loss: 0.9250 2022/08/05 06:00:05 - mmengine - INFO - Epoch(train) [194][1760/1879] lr: 1.0000e-04 eta: 14:01:22 time: 0.5505 data_time: 0.0204 memory: 17087 grad_norm: 7.0476 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7944 loss: 0.7944 2022/08/05 06:00:14 - mmengine - INFO - Epoch(train) [194][1780/1879] lr: 1.0000e-04 eta: 14:01:14 time: 0.4327 data_time: 0.0185 memory: 17087 grad_norm: 6.6624 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7949 loss: 0.7949 2022/08/05 06:00:23 - mmengine - INFO - Epoch(train) [194][1800/1879] lr: 1.0000e-04 eta: 14:01:05 time: 0.4337 data_time: 0.0149 memory: 17087 grad_norm: 6.8593 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8751 loss: 0.8751 2022/08/05 06:00:31 - mmengine - INFO - Epoch(train) [194][1820/1879] lr: 1.0000e-04 eta: 14:00:56 time: 0.4378 data_time: 0.0179 memory: 17087 grad_norm: 6.7774 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7847 loss: 0.7847 2022/08/05 06:00:40 - mmengine - INFO - Epoch(train) [194][1840/1879] lr: 1.0000e-04 eta: 14:00:48 time: 0.4283 data_time: 0.0139 memory: 17087 grad_norm: 6.8871 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9124 loss: 0.9124 2022/08/05 06:00:49 - mmengine - INFO - Epoch(train) [194][1860/1879] lr: 1.0000e-04 eta: 14:00:39 time: 0.4360 data_time: 0.0167 memory: 17087 grad_norm: 6.9786 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8721 loss: 0.8721 2022/08/05 06:00:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 06:00:56 - mmengine - INFO - Epoch(train) [194][1879/1879] lr: 1.0000e-04 eta: 14:00:39 time: 0.4098 data_time: 0.0124 memory: 17087 grad_norm: 7.0149 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.7797 loss: 0.7797 2022/08/05 06:01:08 - mmengine - INFO - Epoch(train) [195][20/1879] lr: 1.0000e-04 eta: 14:00:20 time: 0.5700 data_time: 0.1206 memory: 17087 grad_norm: 6.8631 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9528 loss: 0.9528 2022/08/05 06:01:17 - mmengine - INFO - Epoch(train) [195][40/1879] lr: 1.0000e-04 eta: 14:00:12 time: 0.4389 data_time: 0.0250 memory: 17087 grad_norm: 7.0471 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9080 loss: 0.9080 2022/08/05 06:01:25 - mmengine - INFO - Epoch(train) [195][60/1879] lr: 1.0000e-04 eta: 14:00:03 time: 0.4313 data_time: 0.0155 memory: 17087 grad_norm: 7.1191 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7955 loss: 0.7955 2022/08/05 06:01:34 - mmengine - INFO - Epoch(train) [195][80/1879] lr: 1.0000e-04 eta: 13:59:55 time: 0.4440 data_time: 0.0155 memory: 17087 grad_norm: 6.8788 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7367 loss: 0.7367 2022/08/05 06:01:43 - mmengine - INFO - Epoch(train) [195][100/1879] lr: 1.0000e-04 eta: 13:59:46 time: 0.4298 data_time: 0.0140 memory: 17087 grad_norm: 6.9942 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7795 loss: 0.7795 2022/08/05 06:01:52 - mmengine - INFO - Epoch(train) [195][120/1879] lr: 1.0000e-04 eta: 13:59:37 time: 0.4325 data_time: 0.0160 memory: 17087 grad_norm: 6.9949 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8351 loss: 0.8351 2022/08/05 06:02:00 - mmengine - INFO - Epoch(train) [195][140/1879] lr: 1.0000e-04 eta: 13:59:28 time: 0.4277 data_time: 0.0148 memory: 17087 grad_norm: 7.0049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8288 loss: 0.8288 2022/08/05 06:02:09 - mmengine - INFO - Epoch(train) [195][160/1879] lr: 1.0000e-04 eta: 13:59:20 time: 0.4306 data_time: 0.0161 memory: 17087 grad_norm: 6.8900 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7819 loss: 0.7819 2022/08/05 06:02:18 - mmengine - INFO - Epoch(train) [195][180/1879] lr: 1.0000e-04 eta: 13:59:11 time: 0.4358 data_time: 0.0157 memory: 17087 grad_norm: 7.2080 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8680 loss: 0.8680 2022/08/05 06:02:26 - mmengine - INFO - Epoch(train) [195][200/1879] lr: 1.0000e-04 eta: 13:59:03 time: 0.4293 data_time: 0.0178 memory: 17087 grad_norm: 6.7729 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7621 loss: 0.7621 2022/08/05 06:02:35 - mmengine - INFO - Epoch(train) [195][220/1879] lr: 1.0000e-04 eta: 13:58:54 time: 0.4333 data_time: 0.0177 memory: 17087 grad_norm: 7.1575 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9008 loss: 0.9008 2022/08/05 06:02:43 - mmengine - INFO - Epoch(train) [195][240/1879] lr: 1.0000e-04 eta: 13:58:45 time: 0.4297 data_time: 0.0170 memory: 17087 grad_norm: 6.8524 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8538 loss: 0.8538 2022/08/05 06:02:52 - mmengine - INFO - Epoch(train) [195][260/1879] lr: 1.0000e-04 eta: 13:58:37 time: 0.4465 data_time: 0.0153 memory: 17087 grad_norm: 6.9672 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8755 loss: 0.8755 2022/08/05 06:03:01 - mmengine - INFO - Epoch(train) [195][280/1879] lr: 1.0000e-04 eta: 13:58:28 time: 0.4325 data_time: 0.0165 memory: 17087 grad_norm: 7.0566 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7857 loss: 0.7857 2022/08/05 06:03:10 - mmengine - INFO - Epoch(train) [195][300/1879] lr: 1.0000e-04 eta: 13:58:19 time: 0.4304 data_time: 0.0145 memory: 17087 grad_norm: 6.6852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9238 loss: 0.9238 2022/08/05 06:03:18 - mmengine - INFO - Epoch(train) [195][320/1879] lr: 1.0000e-04 eta: 13:58:11 time: 0.4328 data_time: 0.0160 memory: 17087 grad_norm: 6.7332 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9260 loss: 0.9260 2022/08/05 06:03:27 - mmengine - INFO - Epoch(train) [195][340/1879] lr: 1.0000e-04 eta: 13:58:02 time: 0.4349 data_time: 0.0157 memory: 17087 grad_norm: 6.9237 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8907 loss: 0.8907 2022/08/05 06:03:36 - mmengine - INFO - Epoch(train) [195][360/1879] lr: 1.0000e-04 eta: 13:57:53 time: 0.4440 data_time: 0.0155 memory: 17087 grad_norm: 6.7856 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9765 loss: 0.9765 2022/08/05 06:03:45 - mmengine - INFO - Epoch(train) [195][380/1879] lr: 1.0000e-04 eta: 13:57:45 time: 0.4384 data_time: 0.0199 memory: 17087 grad_norm: 6.7845 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6827 loss: 0.6827 2022/08/05 06:03:54 - mmengine - INFO - Epoch(train) [195][400/1879] lr: 1.0000e-04 eta: 13:57:36 time: 0.4453 data_time: 0.0163 memory: 17087 grad_norm: 7.0568 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9728 loss: 0.9728 2022/08/05 06:04:02 - mmengine - INFO - Epoch(train) [195][420/1879] lr: 1.0000e-04 eta: 13:57:28 time: 0.4352 data_time: 0.0201 memory: 17087 grad_norm: 6.6265 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8958 loss: 0.8958 2022/08/05 06:04:11 - mmengine - INFO - Epoch(train) [195][440/1879] lr: 1.0000e-04 eta: 13:57:19 time: 0.4276 data_time: 0.0159 memory: 17087 grad_norm: 7.1613 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8451 loss: 0.8451 2022/08/05 06:04:20 - mmengine - INFO - Epoch(train) [195][460/1879] lr: 1.0000e-04 eta: 13:57:10 time: 0.4428 data_time: 0.0218 memory: 17087 grad_norm: 6.8668 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7838 loss: 0.7838 2022/08/05 06:04:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 06:04:29 - mmengine - INFO - Epoch(train) [195][480/1879] lr: 1.0000e-04 eta: 13:57:02 time: 0.4317 data_time: 0.0162 memory: 17087 grad_norm: 6.9904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8539 loss: 0.8539 2022/08/05 06:04:37 - mmengine - INFO - Epoch(train) [195][500/1879] lr: 1.0000e-04 eta: 13:56:53 time: 0.4400 data_time: 0.0264 memory: 17087 grad_norm: 6.8400 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7768 loss: 0.7768 2022/08/05 06:04:46 - mmengine - INFO - Epoch(train) [195][520/1879] lr: 1.0000e-04 eta: 13:56:44 time: 0.4314 data_time: 0.0170 memory: 17087 grad_norm: 6.9513 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9528 loss: 0.9528 2022/08/05 06:04:55 - mmengine - INFO - Epoch(train) [195][540/1879] lr: 1.0000e-04 eta: 13:56:36 time: 0.4354 data_time: 0.0168 memory: 17087 grad_norm: 6.9118 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8035 loss: 0.8035 2022/08/05 06:05:03 - mmengine - INFO - Epoch(train) [195][560/1879] lr: 1.0000e-04 eta: 13:56:27 time: 0.4362 data_time: 0.0178 memory: 17087 grad_norm: 7.1588 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9418 loss: 0.9418 2022/08/05 06:05:12 - mmengine - INFO - Epoch(train) [195][580/1879] lr: 1.0000e-04 eta: 13:56:18 time: 0.4309 data_time: 0.0176 memory: 17087 grad_norm: 6.9372 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0522 loss: 1.0522 2022/08/05 06:05:21 - mmengine - INFO - Epoch(train) [195][600/1879] lr: 1.0000e-04 eta: 13:56:10 time: 0.4377 data_time: 0.0168 memory: 17087 grad_norm: 6.9676 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9685 loss: 0.9685 2022/08/05 06:05:30 - mmengine - INFO - Epoch(train) [195][620/1879] lr: 1.0000e-04 eta: 13:56:01 time: 0.4278 data_time: 0.0154 memory: 17087 grad_norm: 7.0595 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9010 loss: 0.9010 2022/08/05 06:05:39 - mmengine - INFO - Epoch(train) [195][640/1879] lr: 1.0000e-04 eta: 13:55:53 time: 0.4608 data_time: 0.0217 memory: 17087 grad_norm: 6.7765 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8443 loss: 0.8443 2022/08/05 06:05:47 - mmengine - INFO - Epoch(train) [195][660/1879] lr: 1.0000e-04 eta: 13:55:44 time: 0.4305 data_time: 0.0169 memory: 17087 grad_norm: 7.1798 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0194 loss: 1.0194 2022/08/05 06:05:56 - mmengine - INFO - Epoch(train) [195][680/1879] lr: 1.0000e-04 eta: 13:55:35 time: 0.4538 data_time: 0.0214 memory: 17087 grad_norm: 6.8561 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8151 loss: 0.8151 2022/08/05 06:06:05 - mmengine - INFO - Epoch(train) [195][700/1879] lr: 1.0000e-04 eta: 13:55:27 time: 0.4352 data_time: 0.0157 memory: 17087 grad_norm: 6.9938 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8816 loss: 0.8816 2022/08/05 06:06:14 - mmengine - INFO - Epoch(train) [195][720/1879] lr: 1.0000e-04 eta: 13:55:18 time: 0.4506 data_time: 0.0179 memory: 17087 grad_norm: 6.3322 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8018 loss: 0.8018 2022/08/05 06:06:23 - mmengine - INFO - Epoch(train) [195][740/1879] lr: 1.0000e-04 eta: 13:55:10 time: 0.4344 data_time: 0.0148 memory: 17087 grad_norm: 6.8716 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7525 loss: 0.7525 2022/08/05 06:06:31 - mmengine - INFO - Epoch(train) [195][760/1879] lr: 1.0000e-04 eta: 13:55:01 time: 0.4293 data_time: 0.0165 memory: 17087 grad_norm: 6.8161 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8570 loss: 0.8570 2022/08/05 06:06:40 - mmengine - INFO - Epoch(train) [195][780/1879] lr: 1.0000e-04 eta: 13:54:52 time: 0.4323 data_time: 0.0157 memory: 17087 grad_norm: 7.0204 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9324 loss: 0.9324 2022/08/05 06:06:49 - mmengine - INFO - Epoch(train) [195][800/1879] lr: 1.0000e-04 eta: 13:54:44 time: 0.4313 data_time: 0.0160 memory: 17087 grad_norm: 6.9988 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0248 loss: 1.0248 2022/08/05 06:06:58 - mmengine - INFO - Epoch(train) [195][820/1879] lr: 1.0000e-04 eta: 13:54:35 time: 0.4392 data_time: 0.0168 memory: 17087 grad_norm: 6.7821 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8218 loss: 0.8218 2022/08/05 06:07:06 - mmengine - INFO - Epoch(train) [195][840/1879] lr: 1.0000e-04 eta: 13:54:26 time: 0.4366 data_time: 0.0167 memory: 17087 grad_norm: 6.9762 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9135 loss: 0.9135 2022/08/05 06:07:15 - mmengine - INFO - Epoch(train) [195][860/1879] lr: 1.0000e-04 eta: 13:54:18 time: 0.4535 data_time: 0.0147 memory: 17087 grad_norm: 7.0349 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8772 loss: 0.8772 2022/08/05 06:07:24 - mmengine - INFO - Epoch(train) [195][880/1879] lr: 1.0000e-04 eta: 13:54:09 time: 0.4321 data_time: 0.0175 memory: 17087 grad_norm: 7.1031 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9093 loss: 0.9093 2022/08/05 06:07:33 - mmengine - INFO - Epoch(train) [195][900/1879] lr: 1.0000e-04 eta: 13:54:00 time: 0.4377 data_time: 0.0196 memory: 17087 grad_norm: 6.8660 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6606 loss: 0.6606 2022/08/05 06:07:42 - mmengine - INFO - Epoch(train) [195][920/1879] lr: 1.0000e-04 eta: 13:53:52 time: 0.4358 data_time: 0.0161 memory: 17087 grad_norm: 6.7770 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8278 loss: 0.8278 2022/08/05 06:07:50 - mmengine - INFO - Epoch(train) [195][940/1879] lr: 1.0000e-04 eta: 13:53:43 time: 0.4358 data_time: 0.0144 memory: 17087 grad_norm: 6.6868 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6588 loss: 0.6588 2022/08/05 06:07:59 - mmengine - INFO - Epoch(train) [195][960/1879] lr: 1.0000e-04 eta: 13:53:35 time: 0.4342 data_time: 0.0179 memory: 17087 grad_norm: 6.8828 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7092 loss: 0.7092 2022/08/05 06:08:08 - mmengine - INFO - Epoch(train) [195][980/1879] lr: 1.0000e-04 eta: 13:53:26 time: 0.4313 data_time: 0.0143 memory: 17087 grad_norm: 6.8971 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9048 loss: 0.9048 2022/08/05 06:08:17 - mmengine - INFO - Epoch(train) [195][1000/1879] lr: 1.0000e-04 eta: 13:53:17 time: 0.4512 data_time: 0.0158 memory: 17087 grad_norm: 6.8130 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7970 loss: 0.7970 2022/08/05 06:08:25 - mmengine - INFO - Epoch(train) [195][1020/1879] lr: 1.0000e-04 eta: 13:53:09 time: 0.4308 data_time: 0.0145 memory: 17087 grad_norm: 6.9944 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9536 loss: 0.9536 2022/08/05 06:08:34 - mmengine - INFO - Epoch(train) [195][1040/1879] lr: 1.0000e-04 eta: 13:53:00 time: 0.4361 data_time: 0.0170 memory: 17087 grad_norm: 6.5948 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7650 loss: 0.7650 2022/08/05 06:08:43 - mmengine - INFO - Epoch(train) [195][1060/1879] lr: 1.0000e-04 eta: 13:52:51 time: 0.4287 data_time: 0.0140 memory: 17087 grad_norm: 6.9172 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7060 loss: 0.7060 2022/08/05 06:08:51 - mmengine - INFO - Epoch(train) [195][1080/1879] lr: 1.0000e-04 eta: 13:52:43 time: 0.4304 data_time: 0.0163 memory: 17087 grad_norm: 6.9594 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8697 loss: 0.8697 2022/08/05 06:09:00 - mmengine - INFO - Epoch(train) [195][1100/1879] lr: 1.0000e-04 eta: 13:52:34 time: 0.4301 data_time: 0.0163 memory: 17087 grad_norm: 6.7968 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8602 loss: 0.8602 2022/08/05 06:09:09 - mmengine - INFO - Epoch(train) [195][1120/1879] lr: 1.0000e-04 eta: 13:52:25 time: 0.4311 data_time: 0.0172 memory: 17087 grad_norm: 6.8433 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7675 loss: 0.7675 2022/08/05 06:09:18 - mmengine - INFO - Epoch(train) [195][1140/1879] lr: 1.0000e-04 eta: 13:52:17 time: 0.4457 data_time: 0.0149 memory: 17087 grad_norm: 7.1350 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7267 loss: 0.7267 2022/08/05 06:09:26 - mmengine - INFO - Epoch(train) [195][1160/1879] lr: 1.0000e-04 eta: 13:52:08 time: 0.4356 data_time: 0.0187 memory: 17087 grad_norm: 7.2053 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8790 loss: 0.8790 2022/08/05 06:09:35 - mmengine - INFO - Epoch(train) [195][1180/1879] lr: 1.0000e-04 eta: 13:51:59 time: 0.4338 data_time: 0.0158 memory: 17087 grad_norm: 6.9697 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8571 loss: 0.8571 2022/08/05 06:09:44 - mmengine - INFO - Epoch(train) [195][1200/1879] lr: 1.0000e-04 eta: 13:51:51 time: 0.4320 data_time: 0.0171 memory: 17087 grad_norm: 7.2013 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8239 loss: 0.8239 2022/08/05 06:09:52 - mmengine - INFO - Epoch(train) [195][1220/1879] lr: 1.0000e-04 eta: 13:51:42 time: 0.4298 data_time: 0.0154 memory: 17087 grad_norm: 6.8985 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6872 loss: 0.6872 2022/08/05 06:10:01 - mmengine - INFO - Epoch(train) [195][1240/1879] lr: 1.0000e-04 eta: 13:51:33 time: 0.4325 data_time: 0.0171 memory: 17087 grad_norm: 6.7582 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8286 loss: 0.8286 2022/08/05 06:10:10 - mmengine - INFO - Epoch(train) [195][1260/1879] lr: 1.0000e-04 eta: 13:51:25 time: 0.4438 data_time: 0.0146 memory: 17087 grad_norm: 7.1884 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9349 loss: 0.9349 2022/08/05 06:10:19 - mmengine - INFO - Epoch(train) [195][1280/1879] lr: 1.0000e-04 eta: 13:51:16 time: 0.4341 data_time: 0.0171 memory: 17087 grad_norm: 6.7533 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7416 loss: 0.7416 2022/08/05 06:10:27 - mmengine - INFO - Epoch(train) [195][1300/1879] lr: 1.0000e-04 eta: 13:51:08 time: 0.4403 data_time: 0.0172 memory: 17087 grad_norm: 6.9659 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8307 loss: 0.8307 2022/08/05 06:10:36 - mmengine - INFO - Epoch(train) [195][1320/1879] lr: 1.0000e-04 eta: 13:50:59 time: 0.4316 data_time: 0.0164 memory: 17087 grad_norm: 6.9411 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9195 loss: 0.9195 2022/08/05 06:10:45 - mmengine - INFO - Epoch(train) [195][1340/1879] lr: 1.0000e-04 eta: 13:50:50 time: 0.4499 data_time: 0.0153 memory: 17087 grad_norm: 6.9928 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9092 loss: 0.9092 2022/08/05 06:10:54 - mmengine - INFO - Epoch(train) [195][1360/1879] lr: 1.0000e-04 eta: 13:50:42 time: 0.4343 data_time: 0.0157 memory: 17087 grad_norm: 6.9960 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9310 loss: 0.9310 2022/08/05 06:11:02 - mmengine - INFO - Epoch(train) [195][1380/1879] lr: 1.0000e-04 eta: 13:50:33 time: 0.4299 data_time: 0.0157 memory: 17087 grad_norm: 7.0437 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7344 loss: 0.7344 2022/08/05 06:11:11 - mmengine - INFO - Epoch(train) [195][1400/1879] lr: 1.0000e-04 eta: 13:50:24 time: 0.4328 data_time: 0.0171 memory: 17087 grad_norm: 7.0579 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8216 loss: 0.8216 2022/08/05 06:11:20 - mmengine - INFO - Epoch(train) [195][1420/1879] lr: 1.0000e-04 eta: 13:50:16 time: 0.4305 data_time: 0.0144 memory: 17087 grad_norm: 7.1670 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9394 loss: 0.9394 2022/08/05 06:11:28 - mmengine - INFO - Epoch(train) [195][1440/1879] lr: 1.0000e-04 eta: 13:50:07 time: 0.4352 data_time: 0.0166 memory: 17087 grad_norm: 6.9820 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8621 loss: 0.8621 2022/08/05 06:11:37 - mmengine - INFO - Epoch(train) [195][1460/1879] lr: 1.0000e-04 eta: 13:49:58 time: 0.4316 data_time: 0.0158 memory: 17087 grad_norm: 6.9182 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8262 loss: 0.8262 2022/08/05 06:11:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 06:11:46 - mmengine - INFO - Epoch(train) [195][1480/1879] lr: 1.0000e-04 eta: 13:49:50 time: 0.4339 data_time: 0.0178 memory: 17087 grad_norm: 6.6923 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7902 loss: 0.7902 2022/08/05 06:11:54 - mmengine - INFO - Epoch(train) [195][1500/1879] lr: 1.0000e-04 eta: 13:49:41 time: 0.4288 data_time: 0.0168 memory: 17087 grad_norm: 6.7282 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7118 loss: 0.7118 2022/08/05 06:12:03 - mmengine - INFO - Epoch(train) [195][1520/1879] lr: 1.0000e-04 eta: 13:49:32 time: 0.4310 data_time: 0.0157 memory: 17087 grad_norm: 6.8689 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9417 loss: 0.9417 2022/08/05 06:12:12 - mmengine - INFO - Epoch(train) [195][1540/1879] lr: 1.0000e-04 eta: 13:49:24 time: 0.4306 data_time: 0.0152 memory: 17087 grad_norm: 7.0256 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7638 loss: 0.7638 2022/08/05 06:12:20 - mmengine - INFO - Epoch(train) [195][1560/1879] lr: 1.0000e-04 eta: 13:49:15 time: 0.4314 data_time: 0.0175 memory: 17087 grad_norm: 6.6871 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8456 loss: 0.8456 2022/08/05 06:12:29 - mmengine - INFO - Epoch(train) [195][1580/1879] lr: 1.0000e-04 eta: 13:49:07 time: 0.4504 data_time: 0.0164 memory: 17087 grad_norm: 6.8909 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9200 loss: 0.9200 2022/08/05 06:12:38 - mmengine - INFO - Epoch(train) [195][1600/1879] lr: 1.0000e-04 eta: 13:48:58 time: 0.4371 data_time: 0.0223 memory: 17087 grad_norm: 7.1564 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8489 loss: 0.8489 2022/08/05 06:12:47 - mmengine - INFO - Epoch(train) [195][1620/1879] lr: 1.0000e-04 eta: 13:48:49 time: 0.4320 data_time: 0.0156 memory: 17087 grad_norm: 6.8579 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7023 loss: 0.7023 2022/08/05 06:12:55 - mmengine - INFO - Epoch(train) [195][1640/1879] lr: 1.0000e-04 eta: 13:48:41 time: 0.4315 data_time: 0.0172 memory: 17087 grad_norm: 6.8086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8243 loss: 0.8243 2022/08/05 06:13:04 - mmengine - INFO - Epoch(train) [195][1660/1879] lr: 1.0000e-04 eta: 13:48:32 time: 0.4521 data_time: 0.0150 memory: 17087 grad_norm: 7.2422 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9079 loss: 0.9079 2022/08/05 06:13:13 - mmengine - INFO - Epoch(train) [195][1680/1879] lr: 1.0000e-04 eta: 13:48:23 time: 0.4317 data_time: 0.0175 memory: 17087 grad_norm: 6.6657 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7597 loss: 0.7597 2022/08/05 06:13:22 - mmengine - INFO - Epoch(train) [195][1700/1879] lr: 1.0000e-04 eta: 13:48:15 time: 0.4294 data_time: 0.0151 memory: 17087 grad_norm: 6.9274 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7445 loss: 0.7445 2022/08/05 06:13:31 - mmengine - INFO - Epoch(train) [195][1720/1879] lr: 1.0000e-04 eta: 13:48:06 time: 0.4510 data_time: 0.0170 memory: 17087 grad_norm: 7.1113 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8943 loss: 0.8943 2022/08/05 06:13:39 - mmengine - INFO - Epoch(train) [195][1740/1879] lr: 1.0000e-04 eta: 13:47:57 time: 0.4303 data_time: 0.0161 memory: 17087 grad_norm: 6.9351 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7175 loss: 0.7175 2022/08/05 06:13:48 - mmengine - INFO - Epoch(train) [195][1760/1879] lr: 1.0000e-04 eta: 13:47:49 time: 0.4420 data_time: 0.0160 memory: 17087 grad_norm: 6.9300 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8577 loss: 0.8577 2022/08/05 06:13:57 - mmengine - INFO - Epoch(train) [195][1780/1879] lr: 1.0000e-04 eta: 13:47:40 time: 0.4315 data_time: 0.0153 memory: 17087 grad_norm: 6.7953 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8528 loss: 0.8528 2022/08/05 06:14:06 - mmengine - INFO - Epoch(train) [195][1800/1879] lr: 1.0000e-04 eta: 13:47:32 time: 0.4386 data_time: 0.0166 memory: 17087 grad_norm: 7.3195 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8861 loss: 0.8861 2022/08/05 06:14:14 - mmengine - INFO - Epoch(train) [195][1820/1879] lr: 1.0000e-04 eta: 13:47:23 time: 0.4307 data_time: 0.0157 memory: 17087 grad_norm: 6.9643 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8697 loss: 0.8697 2022/08/05 06:14:23 - mmengine - INFO - Epoch(train) [195][1840/1879] lr: 1.0000e-04 eta: 13:47:14 time: 0.4307 data_time: 0.0170 memory: 17087 grad_norm: 6.9566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9113 loss: 0.9113 2022/08/05 06:14:32 - mmengine - INFO - Epoch(train) [195][1860/1879] lr: 1.0000e-04 eta: 13:47:06 time: 0.4362 data_time: 0.0166 memory: 17087 grad_norm: 6.9101 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7788 loss: 0.7788 2022/08/05 06:14:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 06:14:40 - mmengine - INFO - Epoch(train) [195][1879/1879] lr: 1.0000e-04 eta: 13:47:06 time: 0.4109 data_time: 0.0143 memory: 17087 grad_norm: 7.1492 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8601 loss: 0.8601 2022/08/05 06:14:47 - mmengine - INFO - Epoch(val) [195][20/155] eta: 0:00:49 time: 0.3632 data_time: 0.1905 memory: 2821 2022/08/05 06:14:52 - mmengine - INFO - Epoch(val) [195][40/155] eta: 0:00:28 time: 0.2496 data_time: 0.0825 memory: 2821 2022/08/05 06:14:58 - mmengine - INFO - Epoch(val) [195][60/155] eta: 0:00:29 time: 0.3138 data_time: 0.1461 memory: 2821 2022/08/05 06:15:04 - mmengine - INFO - Epoch(val) [195][80/155] eta: 0:00:20 time: 0.2765 data_time: 0.1073 memory: 2821 2022/08/05 06:15:10 - mmengine - INFO - Epoch(val) [195][100/155] eta: 0:00:17 time: 0.3107 data_time: 0.1441 memory: 2821 2022/08/05 06:15:15 - mmengine - INFO - Epoch(val) [195][120/155] eta: 0:00:09 time: 0.2714 data_time: 0.1064 memory: 2821 2022/08/05 06:15:22 - mmengine - INFO - Epoch(val) [195][140/155] eta: 0:00:04 time: 0.3151 data_time: 0.1482 memory: 2821 2022/08/05 06:15:27 - mmengine - INFO - Epoch(val) [195][155/155] acc/top1: 0.6962 acc/top5: 0.8810 acc/mean1: 0.6961 2022/08/05 06:15:38 - mmengine - INFO - Epoch(train) [196][20/1879] lr: 1.0000e-04 eta: 13:46:47 time: 0.5551 data_time: 0.1259 memory: 17087 grad_norm: 6.8715 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7413 loss: 0.7413 2022/08/05 06:15:47 - mmengine - INFO - Epoch(train) [196][40/1879] lr: 1.0000e-04 eta: 13:46:38 time: 0.4420 data_time: 0.0237 memory: 17087 grad_norm: 7.0471 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9746 loss: 0.9746 2022/08/05 06:15:55 - mmengine - INFO - Epoch(train) [196][60/1879] lr: 1.0000e-04 eta: 13:46:30 time: 0.4333 data_time: 0.0184 memory: 17087 grad_norm: 6.8102 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8747 loss: 0.8747 2022/08/05 06:16:04 - mmengine - INFO - Epoch(train) [196][80/1879] lr: 1.0000e-04 eta: 13:46:21 time: 0.4365 data_time: 0.0181 memory: 17087 grad_norm: 7.0666 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7850 loss: 0.7850 2022/08/05 06:16:13 - mmengine - INFO - Epoch(train) [196][100/1879] lr: 1.0000e-04 eta: 13:46:12 time: 0.4300 data_time: 0.0132 memory: 17087 grad_norm: 7.0557 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7648 loss: 0.7648 2022/08/05 06:16:21 - mmengine - INFO - Epoch(train) [196][120/1879] lr: 1.0000e-04 eta: 13:46:04 time: 0.4331 data_time: 0.0173 memory: 17087 grad_norm: 6.8294 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9424 loss: 0.9424 2022/08/05 06:16:30 - mmengine - INFO - Epoch(train) [196][140/1879] lr: 1.0000e-04 eta: 13:45:55 time: 0.4362 data_time: 0.0164 memory: 17087 grad_norm: 6.9936 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8562 loss: 0.8562 2022/08/05 06:16:39 - mmengine - INFO - Epoch(train) [196][160/1879] lr: 1.0000e-04 eta: 13:45:46 time: 0.4310 data_time: 0.0155 memory: 17087 grad_norm: 6.9359 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6591 loss: 0.6591 2022/08/05 06:16:47 - mmengine - INFO - Epoch(train) [196][180/1879] lr: 1.0000e-04 eta: 13:45:38 time: 0.4321 data_time: 0.0160 memory: 17087 grad_norm: 6.7800 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.5944 loss: 0.5944 2022/08/05 06:16:56 - mmengine - INFO - Epoch(train) [196][200/1879] lr: 1.0000e-04 eta: 13:45:29 time: 0.4312 data_time: 0.0159 memory: 17087 grad_norm: 6.9588 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7214 loss: 0.7214 2022/08/05 06:17:05 - mmengine - INFO - Epoch(train) [196][220/1879] lr: 1.0000e-04 eta: 13:45:20 time: 0.4335 data_time: 0.0165 memory: 17087 grad_norm: 6.9229 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9871 loss: 0.9871 2022/08/05 06:17:13 - mmengine - INFO - Epoch(train) [196][240/1879] lr: 1.0000e-04 eta: 13:45:12 time: 0.4301 data_time: 0.0162 memory: 17087 grad_norm: 6.7552 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7526 loss: 0.7526 2022/08/05 06:17:22 - mmengine - INFO - Epoch(train) [196][260/1879] lr: 1.0000e-04 eta: 13:45:03 time: 0.4294 data_time: 0.0146 memory: 17087 grad_norm: 6.7218 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7173 loss: 0.7173 2022/08/05 06:17:31 - mmengine - INFO - Epoch(train) [196][280/1879] lr: 1.0000e-04 eta: 13:44:54 time: 0.4526 data_time: 0.0173 memory: 17087 grad_norm: 6.7342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9299 loss: 0.9299 2022/08/05 06:17:40 - mmengine - INFO - Epoch(train) [196][300/1879] lr: 1.0000e-04 eta: 13:44:46 time: 0.4321 data_time: 0.0173 memory: 17087 grad_norm: 6.9018 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7436 loss: 0.7436 2022/08/05 06:17:49 - mmengine - INFO - Epoch(train) [196][320/1879] lr: 1.0000e-04 eta: 13:44:37 time: 0.4539 data_time: 0.0216 memory: 17087 grad_norm: 6.8905 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8821 loss: 0.8821 2022/08/05 06:17:58 - mmengine - INFO - Epoch(train) [196][340/1879] lr: 1.0000e-04 eta: 13:44:29 time: 0.4305 data_time: 0.0154 memory: 17087 grad_norm: 7.1569 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8697 loss: 0.8697 2022/08/05 06:18:07 - mmengine - INFO - Epoch(train) [196][360/1879] lr: 1.0000e-04 eta: 13:44:20 time: 0.4582 data_time: 0.0226 memory: 17087 grad_norm: 6.8893 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9467 loss: 0.9467 2022/08/05 06:18:15 - mmengine - INFO - Epoch(train) [196][380/1879] lr: 1.0000e-04 eta: 13:44:11 time: 0.4297 data_time: 0.0144 memory: 17087 grad_norm: 7.0341 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8286 loss: 0.8286 2022/08/05 06:18:24 - mmengine - INFO - Epoch(train) [196][400/1879] lr: 1.0000e-04 eta: 13:44:03 time: 0.4381 data_time: 0.0204 memory: 17087 grad_norm: 7.0493 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9633 loss: 0.9633 2022/08/05 06:18:33 - mmengine - INFO - Epoch(train) [196][420/1879] lr: 1.0000e-04 eta: 13:43:54 time: 0.4304 data_time: 0.0138 memory: 17087 grad_norm: 7.0554 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7762 loss: 0.7762 2022/08/05 06:18:41 - mmengine - INFO - Epoch(train) [196][440/1879] lr: 1.0000e-04 eta: 13:43:45 time: 0.4310 data_time: 0.0160 memory: 17087 grad_norm: 6.6384 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7269 loss: 0.7269 2022/08/05 06:18:50 - mmengine - INFO - Epoch(train) [196][460/1879] lr: 1.0000e-04 eta: 13:43:37 time: 0.4507 data_time: 0.0160 memory: 17087 grad_norm: 6.9540 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7986 loss: 0.7986 2022/08/05 06:18:59 - mmengine - INFO - Epoch(train) [196][480/1879] lr: 1.0000e-04 eta: 13:43:28 time: 0.4355 data_time: 0.0163 memory: 17087 grad_norm: 6.8736 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8587 loss: 0.8587 2022/08/05 06:19:08 - mmengine - INFO - Epoch(train) [196][500/1879] lr: 1.0000e-04 eta: 13:43:20 time: 0.4522 data_time: 0.0190 memory: 17087 grad_norm: 6.9268 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9621 loss: 0.9621 2022/08/05 06:19:17 - mmengine - INFO - Epoch(train) [196][520/1879] lr: 1.0000e-04 eta: 13:43:11 time: 0.4326 data_time: 0.0161 memory: 17087 grad_norm: 7.0835 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8546 loss: 0.8546 2022/08/05 06:19:26 - mmengine - INFO - Epoch(train) [196][540/1879] lr: 1.0000e-04 eta: 13:43:03 time: 0.4449 data_time: 0.0189 memory: 17087 grad_norm: 7.0591 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9439 loss: 0.9439 2022/08/05 06:19:35 - mmengine - INFO - Epoch(train) [196][560/1879] lr: 1.0000e-04 eta: 13:42:54 time: 0.4376 data_time: 0.0177 memory: 17087 grad_norm: 7.3086 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7812 loss: 0.7812 2022/08/05 06:19:43 - mmengine - INFO - Epoch(train) [196][580/1879] lr: 1.0000e-04 eta: 13:42:45 time: 0.4312 data_time: 0.0145 memory: 17087 grad_norm: 7.1289 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8891 loss: 0.8891 2022/08/05 06:19:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 06:19:52 - mmengine - INFO - Epoch(train) [196][600/1879] lr: 1.0000e-04 eta: 13:42:37 time: 0.4305 data_time: 0.0154 memory: 17087 grad_norm: 6.8265 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7338 loss: 0.7338 2022/08/05 06:20:01 - mmengine - INFO - Epoch(train) [196][620/1879] lr: 1.0000e-04 eta: 13:42:28 time: 0.4410 data_time: 0.0164 memory: 17087 grad_norm: 7.0867 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9768 loss: 0.9768 2022/08/05 06:20:09 - mmengine - INFO - Epoch(train) [196][640/1879] lr: 1.0000e-04 eta: 13:42:19 time: 0.4315 data_time: 0.0170 memory: 17087 grad_norm: 7.1524 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8858 loss: 0.8858 2022/08/05 06:20:18 - mmengine - INFO - Epoch(train) [196][660/1879] lr: 1.0000e-04 eta: 13:42:11 time: 0.4343 data_time: 0.0154 memory: 17087 grad_norm: 6.8050 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6505 loss: 0.6505 2022/08/05 06:20:27 - mmengine - INFO - Epoch(train) [196][680/1879] lr: 1.0000e-04 eta: 13:42:02 time: 0.4449 data_time: 0.0184 memory: 17087 grad_norm: 6.7430 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7972 loss: 0.7972 2022/08/05 06:20:36 - mmengine - INFO - Epoch(train) [196][700/1879] lr: 1.0000e-04 eta: 13:41:53 time: 0.4323 data_time: 0.0144 memory: 17087 grad_norm: 7.0117 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.8415 loss: 0.8415 2022/08/05 06:20:44 - mmengine - INFO - Epoch(train) [196][720/1879] lr: 1.0000e-04 eta: 13:41:45 time: 0.4314 data_time: 0.0171 memory: 17087 grad_norm: 6.7995 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7603 loss: 0.7603 2022/08/05 06:20:53 - mmengine - INFO - Epoch(train) [196][740/1879] lr: 1.0000e-04 eta: 13:41:36 time: 0.4295 data_time: 0.0145 memory: 17087 grad_norm: 6.9157 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7446 loss: 0.7446 2022/08/05 06:21:02 - mmengine - INFO - Epoch(train) [196][760/1879] lr: 1.0000e-04 eta: 13:41:27 time: 0.4309 data_time: 0.0167 memory: 17087 grad_norm: 7.0404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8755 loss: 0.8755 2022/08/05 06:21:10 - mmengine - INFO - Epoch(train) [196][780/1879] lr: 1.0000e-04 eta: 13:41:19 time: 0.4375 data_time: 0.0135 memory: 17087 grad_norm: 6.8858 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8160 loss: 0.8160 2022/08/05 06:21:19 - mmengine - INFO - Epoch(train) [196][800/1879] lr: 1.0000e-04 eta: 13:41:10 time: 0.4349 data_time: 0.0191 memory: 17087 grad_norm: 7.0717 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8056 loss: 0.8056 2022/08/05 06:21:28 - mmengine - INFO - Epoch(train) [196][820/1879] lr: 1.0000e-04 eta: 13:41:01 time: 0.4278 data_time: 0.0142 memory: 17087 grad_norm: 6.7839 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8473 loss: 0.8473 2022/08/05 06:21:36 - mmengine - INFO - Epoch(train) [196][840/1879] lr: 1.0000e-04 eta: 13:40:53 time: 0.4340 data_time: 0.0173 memory: 17087 grad_norm: 6.9077 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7760 loss: 0.7760 2022/08/05 06:21:45 - mmengine - INFO - Epoch(train) [196][860/1879] lr: 1.0000e-04 eta: 13:40:44 time: 0.4293 data_time: 0.0137 memory: 17087 grad_norm: 6.8863 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7425 loss: 0.7425 2022/08/05 06:21:54 - mmengine - INFO - Epoch(train) [196][880/1879] lr: 1.0000e-04 eta: 13:40:35 time: 0.4488 data_time: 0.0168 memory: 17087 grad_norm: 6.9309 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8892 loss: 0.8892 2022/08/05 06:22:02 - mmengine - INFO - Epoch(train) [196][900/1879] lr: 1.0000e-04 eta: 13:40:27 time: 0.4287 data_time: 0.0141 memory: 17087 grad_norm: 6.9749 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8212 loss: 0.8212 2022/08/05 06:22:11 - mmengine - INFO - Epoch(train) [196][920/1879] lr: 1.0000e-04 eta: 13:40:18 time: 0.4346 data_time: 0.0196 memory: 17087 grad_norm: 7.0729 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0375 loss: 1.0375 2022/08/05 06:22:20 - mmengine - INFO - Epoch(train) [196][940/1879] lr: 1.0000e-04 eta: 13:40:10 time: 0.4421 data_time: 0.0150 memory: 17087 grad_norm: 6.9965 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8069 loss: 0.8069 2022/08/05 06:22:29 - mmengine - INFO - Epoch(train) [196][960/1879] lr: 1.0000e-04 eta: 13:40:01 time: 0.4319 data_time: 0.0165 memory: 17087 grad_norm: 6.6597 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8488 loss: 0.8488 2022/08/05 06:22:37 - mmengine - INFO - Epoch(train) [196][980/1879] lr: 1.0000e-04 eta: 13:39:52 time: 0.4305 data_time: 0.0146 memory: 17087 grad_norm: 6.7804 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9828 loss: 0.9828 2022/08/05 06:22:46 - mmengine - INFO - Epoch(train) [196][1000/1879] lr: 1.0000e-04 eta: 13:39:44 time: 0.4366 data_time: 0.0174 memory: 17087 grad_norm: 6.9332 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8779 loss: 0.8779 2022/08/05 06:22:55 - mmengine - INFO - Epoch(train) [196][1020/1879] lr: 1.0000e-04 eta: 13:39:35 time: 0.4485 data_time: 0.0173 memory: 17087 grad_norm: 6.7584 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7055 loss: 0.7055 2022/08/05 06:23:04 - mmengine - INFO - Epoch(train) [196][1040/1879] lr: 1.0000e-04 eta: 13:39:26 time: 0.4304 data_time: 0.0149 memory: 17087 grad_norm: 6.9350 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8901 loss: 0.8901 2022/08/05 06:23:12 - mmengine - INFO - Epoch(train) [196][1060/1879] lr: 1.0000e-04 eta: 13:39:18 time: 0.4289 data_time: 0.0145 memory: 17087 grad_norm: 6.9089 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8954 loss: 0.8954 2022/08/05 06:23:21 - mmengine - INFO - Epoch(train) [196][1080/1879] lr: 1.0000e-04 eta: 13:39:09 time: 0.4571 data_time: 0.0206 memory: 17087 grad_norm: 6.7853 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6376 loss: 0.6376 2022/08/05 06:23:30 - mmengine - INFO - Epoch(train) [196][1100/1879] lr: 1.0000e-04 eta: 13:39:01 time: 0.4310 data_time: 0.0148 memory: 17087 grad_norm: 7.0030 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8598 loss: 0.8598 2022/08/05 06:23:39 - mmengine - INFO - Epoch(train) [196][1120/1879] lr: 1.0000e-04 eta: 13:38:52 time: 0.4311 data_time: 0.0181 memory: 17087 grad_norm: 7.0790 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9052 loss: 0.9052 2022/08/05 06:23:48 - mmengine - INFO - Epoch(train) [196][1140/1879] lr: 1.0000e-04 eta: 13:38:43 time: 0.4442 data_time: 0.0159 memory: 17087 grad_norm: 6.8934 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7457 loss: 0.7457 2022/08/05 06:23:57 - mmengine - INFO - Epoch(train) [196][1160/1879] lr: 1.0000e-04 eta: 13:38:35 time: 0.4419 data_time: 0.0234 memory: 17087 grad_norm: 6.9603 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8419 loss: 0.8419 2022/08/05 06:24:05 - mmengine - INFO - Epoch(train) [196][1180/1879] lr: 1.0000e-04 eta: 13:38:26 time: 0.4288 data_time: 0.0147 memory: 17087 grad_norm: 6.9612 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7761 loss: 0.7761 2022/08/05 06:24:14 - mmengine - INFO - Epoch(train) [196][1200/1879] lr: 1.0000e-04 eta: 13:38:17 time: 0.4518 data_time: 0.0180 memory: 17087 grad_norm: 7.1335 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8444 loss: 0.8444 2022/08/05 06:24:23 - mmengine - INFO - Epoch(train) [196][1220/1879] lr: 1.0000e-04 eta: 13:38:09 time: 0.4307 data_time: 0.0128 memory: 17087 grad_norm: 6.9990 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8704 loss: 0.8704 2022/08/05 06:24:32 - mmengine - INFO - Epoch(train) [196][1240/1879] lr: 1.0000e-04 eta: 13:38:00 time: 0.4334 data_time: 0.0163 memory: 17087 grad_norm: 6.8989 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7176 loss: 0.7176 2022/08/05 06:24:40 - mmengine - INFO - Epoch(train) [196][1260/1879] lr: 1.0000e-04 eta: 13:37:51 time: 0.4307 data_time: 0.0151 memory: 17087 grad_norm: 6.9850 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9730 loss: 0.9730 2022/08/05 06:24:49 - mmengine - INFO - Epoch(train) [196][1280/1879] lr: 1.0000e-04 eta: 13:37:43 time: 0.4473 data_time: 0.0185 memory: 17087 grad_norm: 7.0447 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8454 loss: 0.8454 2022/08/05 06:24:58 - mmengine - INFO - Epoch(train) [196][1300/1879] lr: 1.0000e-04 eta: 13:37:34 time: 0.4448 data_time: 0.0128 memory: 17087 grad_norm: 6.5508 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6708 loss: 0.6708 2022/08/05 06:25:07 - mmengine - INFO - Epoch(train) [196][1320/1879] lr: 1.0000e-04 eta: 13:37:26 time: 0.4414 data_time: 0.0177 memory: 17087 grad_norm: 6.8384 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9052 loss: 0.9052 2022/08/05 06:25:16 - mmengine - INFO - Epoch(train) [196][1340/1879] lr: 1.0000e-04 eta: 13:37:17 time: 0.4319 data_time: 0.0151 memory: 17087 grad_norm: 6.7803 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8064 loss: 0.8064 2022/08/05 06:25:24 - mmengine - INFO - Epoch(train) [196][1360/1879] lr: 1.0000e-04 eta: 13:37:08 time: 0.4313 data_time: 0.0160 memory: 17087 grad_norm: 7.0728 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9113 loss: 0.9113 2022/08/05 06:25:33 - mmengine - INFO - Epoch(train) [196][1380/1879] lr: 1.0000e-04 eta: 13:37:00 time: 0.4330 data_time: 0.0155 memory: 17087 grad_norm: 6.8554 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7920 loss: 0.7920 2022/08/05 06:25:42 - mmengine - INFO - Epoch(train) [196][1400/1879] lr: 1.0000e-04 eta: 13:36:51 time: 0.4347 data_time: 0.0198 memory: 17087 grad_norm: 6.9989 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7976 loss: 0.7976 2022/08/05 06:25:51 - mmengine - INFO - Epoch(train) [196][1420/1879] lr: 1.0000e-04 eta: 13:36:42 time: 0.4497 data_time: 0.0143 memory: 17087 grad_norm: 6.9817 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8991 loss: 0.8991 2022/08/05 06:25:59 - mmengine - INFO - Epoch(train) [196][1440/1879] lr: 1.0000e-04 eta: 13:36:34 time: 0.4384 data_time: 0.0221 memory: 17087 grad_norm: 6.8911 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7793 loss: 0.7793 2022/08/05 06:26:08 - mmengine - INFO - Epoch(train) [196][1460/1879] lr: 1.0000e-04 eta: 13:36:25 time: 0.4334 data_time: 0.0152 memory: 17087 grad_norm: 6.6617 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7844 loss: 0.7844 2022/08/05 06:26:17 - mmengine - INFO - Epoch(train) [196][1480/1879] lr: 1.0000e-04 eta: 13:36:17 time: 0.4462 data_time: 0.0175 memory: 17087 grad_norm: 6.9642 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7995 loss: 0.7995 2022/08/05 06:26:26 - mmengine - INFO - Epoch(train) [196][1500/1879] lr: 1.0000e-04 eta: 13:36:08 time: 0.4290 data_time: 0.0149 memory: 17087 grad_norm: 7.0066 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8740 loss: 0.8740 2022/08/05 06:26:35 - mmengine - INFO - Epoch(train) [196][1520/1879] lr: 1.0000e-04 eta: 13:35:59 time: 0.4501 data_time: 0.0157 memory: 17087 grad_norm: 7.1838 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9103 loss: 0.9103 2022/08/05 06:26:43 - mmengine - INFO - Epoch(train) [196][1540/1879] lr: 1.0000e-04 eta: 13:35:51 time: 0.4305 data_time: 0.0136 memory: 17087 grad_norm: 6.8089 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9229 loss: 0.9229 2022/08/05 06:26:52 - mmengine - INFO - Epoch(train) [196][1560/1879] lr: 1.0000e-04 eta: 13:35:42 time: 0.4309 data_time: 0.0154 memory: 17087 grad_norm: 7.0166 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8789 loss: 0.8789 2022/08/05 06:27:01 - mmengine - INFO - Epoch(train) [196][1580/1879] lr: 1.0000e-04 eta: 13:35:33 time: 0.4329 data_time: 0.0139 memory: 17087 grad_norm: 6.7421 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8069 loss: 0.8069 2022/08/05 06:27:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 06:27:09 - mmengine - INFO - Epoch(train) [196][1600/1879] lr: 1.0000e-04 eta: 13:35:25 time: 0.4334 data_time: 0.0163 memory: 17087 grad_norm: 6.9210 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9801 loss: 0.9801 2022/08/05 06:27:18 - mmengine - INFO - Epoch(train) [196][1620/1879] lr: 1.0000e-04 eta: 13:35:16 time: 0.4324 data_time: 0.0166 memory: 17087 grad_norm: 6.9104 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6799 loss: 0.6799 2022/08/05 06:27:27 - mmengine - INFO - Epoch(train) [196][1640/1879] lr: 1.0000e-04 eta: 13:35:07 time: 0.4315 data_time: 0.0162 memory: 17087 grad_norm: 6.9424 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8686 loss: 0.8686 2022/08/05 06:27:36 - mmengine - INFO - Epoch(train) [196][1660/1879] lr: 1.0000e-04 eta: 13:34:59 time: 0.4475 data_time: 0.0162 memory: 17087 grad_norm: 6.9545 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7472 loss: 0.7472 2022/08/05 06:27:44 - mmengine - INFO - Epoch(train) [196][1680/1879] lr: 1.0000e-04 eta: 13:34:50 time: 0.4299 data_time: 0.0170 memory: 17087 grad_norm: 7.0519 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9152 loss: 0.9152 2022/08/05 06:27:53 - mmengine - INFO - Epoch(train) [196][1700/1879] lr: 1.0000e-04 eta: 13:34:42 time: 0.4445 data_time: 0.0154 memory: 17087 grad_norm: 6.7643 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8365 loss: 0.8365 2022/08/05 06:28:02 - mmengine - INFO - Epoch(train) [196][1720/1879] lr: 1.0000e-04 eta: 13:34:33 time: 0.4301 data_time: 0.0158 memory: 17087 grad_norm: 6.8661 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9144 loss: 0.9144 2022/08/05 06:28:10 - mmengine - INFO - Epoch(train) [196][1740/1879] lr: 1.0000e-04 eta: 13:34:24 time: 0.4342 data_time: 0.0135 memory: 17087 grad_norm: 6.7188 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7205 loss: 0.7205 2022/08/05 06:28:19 - mmengine - INFO - Epoch(train) [196][1760/1879] lr: 1.0000e-04 eta: 13:34:16 time: 0.4310 data_time: 0.0159 memory: 17087 grad_norm: 6.9526 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8094 loss: 0.8094 2022/08/05 06:28:28 - mmengine - INFO - Epoch(train) [196][1780/1879] lr: 1.0000e-04 eta: 13:34:07 time: 0.4407 data_time: 0.0155 memory: 17087 grad_norm: 6.8280 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9359 loss: 0.9359 2022/08/05 06:28:37 - mmengine - INFO - Epoch(train) [196][1800/1879] lr: 1.0000e-04 eta: 13:33:58 time: 0.4306 data_time: 0.0176 memory: 17087 grad_norm: 6.8636 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8372 loss: 0.8372 2022/08/05 06:28:45 - mmengine - INFO - Epoch(train) [196][1820/1879] lr: 1.0000e-04 eta: 13:33:50 time: 0.4379 data_time: 0.0133 memory: 17087 grad_norm: 7.2926 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9193 loss: 0.9193 2022/08/05 06:28:54 - mmengine - INFO - Epoch(train) [196][1840/1879] lr: 1.0000e-04 eta: 13:33:41 time: 0.4329 data_time: 0.0191 memory: 17087 grad_norm: 7.0112 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8270 loss: 0.8270 2022/08/05 06:29:03 - mmengine - INFO - Epoch(train) [196][1860/1879] lr: 1.0000e-04 eta: 13:33:32 time: 0.4301 data_time: 0.0135 memory: 17087 grad_norm: 6.9313 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9668 loss: 0.9668 2022/08/05 06:29:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 06:29:11 - mmengine - INFO - Epoch(train) [196][1879/1879] lr: 1.0000e-04 eta: 13:33:32 time: 0.4147 data_time: 0.0151 memory: 17087 grad_norm: 6.8648 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7042 loss: 0.7042 2022/08/05 06:29:11 - mmengine - INFO - Saving checkpoint at 196 epochs 2022/08/05 06:29:25 - mmengine - INFO - Epoch(train) [197][20/1879] lr: 1.0000e-04 eta: 13:33:13 time: 0.5160 data_time: 0.1037 memory: 17087 grad_norm: 6.8541 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9228 loss: 0.9228 2022/08/05 06:29:33 - mmengine - INFO - Epoch(train) [197][40/1879] lr: 1.0000e-04 eta: 13:33:05 time: 0.4393 data_time: 0.0174 memory: 17087 grad_norm: 7.1192 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8632 loss: 0.8632 2022/08/05 06:29:42 - mmengine - INFO - Epoch(train) [197][60/1879] lr: 1.0000e-04 eta: 13:32:56 time: 0.4306 data_time: 0.0152 memory: 17087 grad_norm: 7.0138 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9312 loss: 0.9312 2022/08/05 06:29:51 - mmengine - INFO - Epoch(train) [197][80/1879] lr: 1.0000e-04 eta: 13:32:48 time: 0.4401 data_time: 0.0187 memory: 17087 grad_norm: 6.8000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8165 loss: 0.8165 2022/08/05 06:29:59 - mmengine - INFO - Epoch(train) [197][100/1879] lr: 1.0000e-04 eta: 13:32:39 time: 0.4308 data_time: 0.0150 memory: 17087 grad_norm: 6.7631 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7579 loss: 0.7579 2022/08/05 06:30:08 - mmengine - INFO - Epoch(train) [197][120/1879] lr: 1.0000e-04 eta: 13:32:30 time: 0.4343 data_time: 0.0195 memory: 17087 grad_norm: 6.8202 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6910 loss: 0.6910 2022/08/05 06:30:17 - mmengine - INFO - Epoch(train) [197][140/1879] lr: 1.0000e-04 eta: 13:32:22 time: 0.4298 data_time: 0.0163 memory: 17087 grad_norm: 6.8889 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8489 loss: 0.8489 2022/08/05 06:30:26 - mmengine - INFO - Epoch(train) [197][160/1879] lr: 1.0000e-04 eta: 13:32:13 time: 0.4546 data_time: 0.0176 memory: 17087 grad_norm: 6.9024 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7285 loss: 0.7285 2022/08/05 06:30:34 - mmengine - INFO - Epoch(train) [197][180/1879] lr: 1.0000e-04 eta: 13:32:04 time: 0.4288 data_time: 0.0149 memory: 17087 grad_norm: 6.9621 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8813 loss: 0.8813 2022/08/05 06:30:43 - mmengine - INFO - Epoch(train) [197][200/1879] lr: 1.0000e-04 eta: 13:31:56 time: 0.4329 data_time: 0.0161 memory: 17087 grad_norm: 6.9416 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7775 loss: 0.7775 2022/08/05 06:30:52 - mmengine - INFO - Epoch(train) [197][220/1879] lr: 1.0000e-04 eta: 13:31:47 time: 0.4301 data_time: 0.0144 memory: 17087 grad_norm: 6.7596 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8292 loss: 0.8292 2022/08/05 06:31:00 - mmengine - INFO - Epoch(train) [197][240/1879] lr: 1.0000e-04 eta: 13:31:38 time: 0.4315 data_time: 0.0165 memory: 17087 grad_norm: 6.6891 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8552 loss: 0.8552 2022/08/05 06:31:09 - mmengine - INFO - Epoch(train) [197][260/1879] lr: 1.0000e-04 eta: 13:31:30 time: 0.4345 data_time: 0.0165 memory: 17087 grad_norm: 6.9588 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8025 loss: 0.8025 2022/08/05 06:31:18 - mmengine - INFO - Epoch(train) [197][280/1879] lr: 1.0000e-04 eta: 13:31:21 time: 0.4304 data_time: 0.0169 memory: 17087 grad_norm: 6.9605 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9243 loss: 0.9243 2022/08/05 06:31:27 - mmengine - INFO - Epoch(train) [197][300/1879] lr: 1.0000e-04 eta: 13:31:12 time: 0.4535 data_time: 0.0159 memory: 17087 grad_norm: 7.1006 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8764 loss: 0.8764 2022/08/05 06:31:35 - mmengine - INFO - Epoch(train) [197][320/1879] lr: 1.0000e-04 eta: 13:31:04 time: 0.4304 data_time: 0.0164 memory: 17087 grad_norm: 6.8403 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8816 loss: 0.8816 2022/08/05 06:31:44 - mmengine - INFO - Epoch(train) [197][340/1879] lr: 1.0000e-04 eta: 13:30:55 time: 0.4278 data_time: 0.0137 memory: 17087 grad_norm: 7.0615 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7513 loss: 0.7513 2022/08/05 06:31:53 - mmengine - INFO - Epoch(train) [197][360/1879] lr: 1.0000e-04 eta: 13:30:47 time: 0.4468 data_time: 0.0170 memory: 17087 grad_norm: 7.0835 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8925 loss: 0.8925 2022/08/05 06:32:02 - mmengine - INFO - Epoch(train) [197][380/1879] lr: 1.0000e-04 eta: 13:30:38 time: 0.4410 data_time: 0.0167 memory: 17087 grad_norm: 6.9940 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0616 loss: 1.0616 2022/08/05 06:32:10 - mmengine - INFO - Epoch(train) [197][400/1879] lr: 1.0000e-04 eta: 13:30:29 time: 0.4278 data_time: 0.0153 memory: 17087 grad_norm: 7.0607 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8041 loss: 0.8041 2022/08/05 06:32:20 - mmengine - INFO - Epoch(train) [197][420/1879] lr: 1.0000e-04 eta: 13:30:21 time: 0.4634 data_time: 0.0204 memory: 17087 grad_norm: 7.1371 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9233 loss: 0.9233 2022/08/05 06:32:28 - mmengine - INFO - Epoch(train) [197][440/1879] lr: 1.0000e-04 eta: 13:30:12 time: 0.4354 data_time: 0.0208 memory: 17087 grad_norm: 7.1204 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0272 loss: 1.0272 2022/08/05 06:32:37 - mmengine - INFO - Epoch(train) [197][460/1879] lr: 1.0000e-04 eta: 13:30:04 time: 0.4378 data_time: 0.0163 memory: 17087 grad_norm: 7.0214 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8763 loss: 0.8763 2022/08/05 06:32:46 - mmengine - INFO - Epoch(train) [197][480/1879] lr: 1.0000e-04 eta: 13:29:55 time: 0.4316 data_time: 0.0157 memory: 17087 grad_norm: 6.9904 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7451 loss: 0.7451 2022/08/05 06:32:55 - mmengine - INFO - Epoch(train) [197][500/1879] lr: 1.0000e-04 eta: 13:29:46 time: 0.4308 data_time: 0.0153 memory: 17087 grad_norm: 6.9941 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0234 loss: 1.0234 2022/08/05 06:33:03 - mmengine - INFO - Epoch(train) [197][520/1879] lr: 1.0000e-04 eta: 13:29:38 time: 0.4304 data_time: 0.0167 memory: 17087 grad_norm: 6.8698 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8078 loss: 0.8078 2022/08/05 06:33:12 - mmengine - INFO - Epoch(train) [197][540/1879] lr: 1.0000e-04 eta: 13:29:29 time: 0.4304 data_time: 0.0151 memory: 17087 grad_norm: 6.9146 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8890 loss: 0.8890 2022/08/05 06:33:21 - mmengine - INFO - Epoch(train) [197][560/1879] lr: 1.0000e-04 eta: 13:29:20 time: 0.4485 data_time: 0.0161 memory: 17087 grad_norm: 6.8738 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6933 loss: 0.6933 2022/08/05 06:33:29 - mmengine - INFO - Epoch(train) [197][580/1879] lr: 1.0000e-04 eta: 13:29:12 time: 0.4336 data_time: 0.0154 memory: 17087 grad_norm: 6.6099 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8565 loss: 0.8565 2022/08/05 06:33:38 - mmengine - INFO - Epoch(train) [197][600/1879] lr: 1.0000e-04 eta: 13:29:03 time: 0.4328 data_time: 0.0166 memory: 17087 grad_norm: 6.8844 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9990 loss: 0.9990 2022/08/05 06:33:47 - mmengine - INFO - Epoch(train) [197][620/1879] lr: 1.0000e-04 eta: 13:28:54 time: 0.4297 data_time: 0.0155 memory: 17087 grad_norm: 6.9550 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7402 loss: 0.7402 2022/08/05 06:33:55 - mmengine - INFO - Epoch(train) [197][640/1879] lr: 1.0000e-04 eta: 13:28:46 time: 0.4334 data_time: 0.0178 memory: 17087 grad_norm: 7.1424 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9071 loss: 0.9071 2022/08/05 06:34:04 - mmengine - INFO - Epoch(train) [197][660/1879] lr: 1.0000e-04 eta: 13:28:37 time: 0.4303 data_time: 0.0153 memory: 17087 grad_norm: 6.7935 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8213 loss: 0.8213 2022/08/05 06:34:13 - mmengine - INFO - Epoch(train) [197][680/1879] lr: 1.0000e-04 eta: 13:28:28 time: 0.4306 data_time: 0.0153 memory: 17087 grad_norm: 6.8656 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8060 loss: 0.8060 2022/08/05 06:34:21 - mmengine - INFO - Epoch(train) [197][700/1879] lr: 1.0000e-04 eta: 13:28:20 time: 0.4334 data_time: 0.0164 memory: 17087 grad_norm: 6.9325 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7247 loss: 0.7247 2022/08/05 06:34:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 06:34:30 - mmengine - INFO - Epoch(train) [197][720/1879] lr: 1.0000e-04 eta: 13:28:11 time: 0.4432 data_time: 0.0167 memory: 17087 grad_norm: 7.1180 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9078 loss: 0.9078 2022/08/05 06:34:39 - mmengine - INFO - Epoch(train) [197][740/1879] lr: 1.0000e-04 eta: 13:28:02 time: 0.4325 data_time: 0.0133 memory: 17087 grad_norm: 6.9402 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9269 loss: 0.9269 2022/08/05 06:34:48 - mmengine - INFO - Epoch(train) [197][760/1879] lr: 1.0000e-04 eta: 13:27:54 time: 0.4497 data_time: 0.0172 memory: 17087 grad_norm: 6.7815 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8690 loss: 0.8690 2022/08/05 06:34:57 - mmengine - INFO - Epoch(train) [197][780/1879] lr: 1.0000e-04 eta: 13:27:45 time: 0.4291 data_time: 0.0150 memory: 17087 grad_norm: 6.9069 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9962 loss: 0.9962 2022/08/05 06:35:05 - mmengine - INFO - Epoch(train) [197][800/1879] lr: 1.0000e-04 eta: 13:27:36 time: 0.4313 data_time: 0.0158 memory: 17087 grad_norm: 7.0545 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8637 loss: 0.8637 2022/08/05 06:35:14 - mmengine - INFO - Epoch(train) [197][820/1879] lr: 1.0000e-04 eta: 13:27:28 time: 0.4336 data_time: 0.0179 memory: 17087 grad_norm: 6.8616 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8827 loss: 0.8827 2022/08/05 06:35:23 - mmengine - INFO - Epoch(train) [197][840/1879] lr: 1.0000e-04 eta: 13:27:19 time: 0.4300 data_time: 0.0155 memory: 17087 grad_norm: 6.8342 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8654 loss: 0.8654 2022/08/05 06:35:31 - mmengine - INFO - Epoch(train) [197][860/1879] lr: 1.0000e-04 eta: 13:27:11 time: 0.4357 data_time: 0.0159 memory: 17087 grad_norm: 7.2025 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0647 loss: 1.0647 2022/08/05 06:35:40 - mmengine - INFO - Epoch(train) [197][880/1879] lr: 1.0000e-04 eta: 13:27:02 time: 0.4305 data_time: 0.0173 memory: 17087 grad_norm: 6.8439 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6951 loss: 0.6951 2022/08/05 06:35:49 - mmengine - INFO - Epoch(train) [197][900/1879] lr: 1.0000e-04 eta: 13:26:53 time: 0.4477 data_time: 0.0159 memory: 17087 grad_norm: 6.9066 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7984 loss: 0.7984 2022/08/05 06:35:58 - mmengine - INFO - Epoch(train) [197][920/1879] lr: 1.0000e-04 eta: 13:26:45 time: 0.4305 data_time: 0.0158 memory: 17087 grad_norm: 6.8930 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8174 loss: 0.8174 2022/08/05 06:36:06 - mmengine - INFO - Epoch(train) [197][940/1879] lr: 1.0000e-04 eta: 13:26:36 time: 0.4312 data_time: 0.0165 memory: 17087 grad_norm: 6.9084 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8459 loss: 0.8459 2022/08/05 06:36:15 - mmengine - INFO - Epoch(train) [197][960/1879] lr: 1.0000e-04 eta: 13:26:27 time: 0.4305 data_time: 0.0160 memory: 17087 grad_norm: 7.0776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8635 loss: 0.8635 2022/08/05 06:36:24 - mmengine - INFO - Epoch(train) [197][980/1879] lr: 1.0000e-04 eta: 13:26:19 time: 0.4510 data_time: 0.0147 memory: 17087 grad_norm: 6.8961 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8872 loss: 0.8872 2022/08/05 06:36:32 - mmengine - INFO - Epoch(train) [197][1000/1879] lr: 1.0000e-04 eta: 13:26:10 time: 0.4319 data_time: 0.0156 memory: 17087 grad_norm: 6.7292 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8228 loss: 0.8228 2022/08/05 06:36:41 - mmengine - INFO - Epoch(train) [197][1020/1879] lr: 1.0000e-04 eta: 13:26:01 time: 0.4312 data_time: 0.0143 memory: 17087 grad_norm: 7.0697 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9259 loss: 0.9259 2022/08/05 06:36:50 - mmengine - INFO - Epoch(train) [197][1040/1879] lr: 1.0000e-04 eta: 13:25:53 time: 0.4341 data_time: 0.0164 memory: 17087 grad_norm: 6.9916 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8125 loss: 0.8125 2022/08/05 06:36:58 - mmengine - INFO - Epoch(train) [197][1060/1879] lr: 1.0000e-04 eta: 13:25:44 time: 0.4309 data_time: 0.0161 memory: 17087 grad_norm: 6.9214 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9323 loss: 0.9323 2022/08/05 06:37:07 - mmengine - INFO - Epoch(train) [197][1080/1879] lr: 1.0000e-04 eta: 13:25:35 time: 0.4307 data_time: 0.0157 memory: 17087 grad_norm: 6.7438 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9064 loss: 0.9064 2022/08/05 06:37:16 - mmengine - INFO - Epoch(train) [197][1100/1879] lr: 1.0000e-04 eta: 13:25:27 time: 0.4330 data_time: 0.0153 memory: 17087 grad_norm: 6.8356 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8428 loss: 0.8428 2022/08/05 06:37:25 - mmengine - INFO - Epoch(train) [197][1120/1879] lr: 1.0000e-04 eta: 13:25:18 time: 0.4468 data_time: 0.0161 memory: 17087 grad_norm: 7.0014 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9629 loss: 0.9629 2022/08/05 06:37:33 - mmengine - INFO - Epoch(train) [197][1140/1879] lr: 1.0000e-04 eta: 13:25:09 time: 0.4295 data_time: 0.0141 memory: 17087 grad_norm: 7.0203 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8752 loss: 0.8752 2022/08/05 06:37:42 - mmengine - INFO - Epoch(train) [197][1160/1879] lr: 1.0000e-04 eta: 13:25:01 time: 0.4450 data_time: 0.0169 memory: 17087 grad_norm: 7.1302 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7829 loss: 0.7829 2022/08/05 06:37:51 - mmengine - INFO - Epoch(train) [197][1180/1879] lr: 1.0000e-04 eta: 13:24:52 time: 0.4308 data_time: 0.0147 memory: 17087 grad_norm: 6.8490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9341 loss: 0.9341 2022/08/05 06:38:00 - mmengine - INFO - Epoch(train) [197][1200/1879] lr: 1.0000e-04 eta: 13:24:44 time: 0.4364 data_time: 0.0195 memory: 17087 grad_norm: 7.0276 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8451 loss: 0.8451 2022/08/05 06:38:08 - mmengine - INFO - Epoch(train) [197][1220/1879] lr: 1.0000e-04 eta: 13:24:35 time: 0.4283 data_time: 0.0140 memory: 17087 grad_norm: 6.9255 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8846 loss: 0.8846 2022/08/05 06:38:17 - mmengine - INFO - Epoch(train) [197][1240/1879] lr: 1.0000e-04 eta: 13:24:26 time: 0.4446 data_time: 0.0172 memory: 17087 grad_norm: 6.8557 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9138 loss: 0.9138 2022/08/05 06:38:26 - mmengine - INFO - Epoch(train) [197][1260/1879] lr: 1.0000e-04 eta: 13:24:18 time: 0.4313 data_time: 0.0159 memory: 17087 grad_norm: 7.1222 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8811 loss: 0.8811 2022/08/05 06:38:35 - mmengine - INFO - Epoch(train) [197][1280/1879] lr: 1.0000e-04 eta: 13:24:09 time: 0.4363 data_time: 0.0181 memory: 17087 grad_norm: 6.9241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8311 loss: 0.8311 2022/08/05 06:38:43 - mmengine - INFO - Epoch(train) [197][1300/1879] lr: 1.0000e-04 eta: 13:24:00 time: 0.4361 data_time: 0.0152 memory: 17087 grad_norm: 6.6126 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9867 loss: 0.9867 2022/08/05 06:38:52 - mmengine - INFO - Epoch(train) [197][1320/1879] lr: 1.0000e-04 eta: 13:23:52 time: 0.4337 data_time: 0.0179 memory: 17087 grad_norm: 7.1214 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9614 loss: 0.9614 2022/08/05 06:39:01 - mmengine - INFO - Epoch(train) [197][1340/1879] lr: 1.0000e-04 eta: 13:23:43 time: 0.4307 data_time: 0.0145 memory: 17087 grad_norm: 6.8208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8874 loss: 0.8874 2022/08/05 06:39:09 - mmengine - INFO - Epoch(train) [197][1360/1879] lr: 1.0000e-04 eta: 13:23:34 time: 0.4378 data_time: 0.0167 memory: 17087 grad_norm: 6.9107 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9679 loss: 0.9679 2022/08/05 06:39:18 - mmengine - INFO - Epoch(train) [197][1380/1879] lr: 1.0000e-04 eta: 13:23:26 time: 0.4293 data_time: 0.0138 memory: 17087 grad_norm: 6.6533 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7755 loss: 0.7755 2022/08/05 06:39:27 - mmengine - INFO - Epoch(train) [197][1400/1879] lr: 1.0000e-04 eta: 13:23:17 time: 0.4382 data_time: 0.0169 memory: 17087 grad_norm: 6.9604 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9392 loss: 0.9392 2022/08/05 06:39:35 - mmengine - INFO - Epoch(train) [197][1420/1879] lr: 1.0000e-04 eta: 13:23:08 time: 0.4301 data_time: 0.0165 memory: 17087 grad_norm: 6.9219 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9645 loss: 0.9645 2022/08/05 06:39:44 - mmengine - INFO - Epoch(train) [197][1440/1879] lr: 1.0000e-04 eta: 13:23:00 time: 0.4397 data_time: 0.0169 memory: 17087 grad_norm: 6.7150 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7492 loss: 0.7492 2022/08/05 06:39:53 - mmengine - INFO - Epoch(train) [197][1460/1879] lr: 1.0000e-04 eta: 13:22:51 time: 0.4472 data_time: 0.0162 memory: 17087 grad_norm: 6.7811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7419 loss: 0.7419 2022/08/05 06:40:02 - mmengine - INFO - Epoch(train) [197][1480/1879] lr: 1.0000e-04 eta: 13:22:43 time: 0.4349 data_time: 0.0208 memory: 17087 grad_norm: 6.7968 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8542 loss: 0.8542 2022/08/05 06:40:11 - mmengine - INFO - Epoch(train) [197][1500/1879] lr: 1.0000e-04 eta: 13:22:34 time: 0.4309 data_time: 0.0167 memory: 17087 grad_norm: 7.1065 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8245 loss: 0.8245 2022/08/05 06:40:19 - mmengine - INFO - Epoch(train) [197][1520/1879] lr: 1.0000e-04 eta: 13:22:25 time: 0.4298 data_time: 0.0162 memory: 17087 grad_norm: 6.9152 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6792 loss: 0.6792 2022/08/05 06:40:28 - mmengine - INFO - Epoch(train) [197][1540/1879] lr: 1.0000e-04 eta: 13:22:17 time: 0.4458 data_time: 0.0153 memory: 17087 grad_norm: 6.9075 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8045 loss: 0.8045 2022/08/05 06:40:37 - mmengine - INFO - Epoch(train) [197][1560/1879] lr: 1.0000e-04 eta: 13:22:08 time: 0.4357 data_time: 0.0199 memory: 17087 grad_norm: 6.9387 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8766 loss: 0.8766 2022/08/05 06:40:45 - mmengine - INFO - Epoch(train) [197][1580/1879] lr: 1.0000e-04 eta: 13:21:59 time: 0.4284 data_time: 0.0153 memory: 17087 grad_norm: 7.3488 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8706 loss: 0.8706 2022/08/05 06:40:54 - mmengine - INFO - Epoch(train) [197][1600/1879] lr: 1.0000e-04 eta: 13:21:51 time: 0.4309 data_time: 0.0183 memory: 17087 grad_norm: 6.8515 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8085 loss: 0.8085 2022/08/05 06:41:03 - mmengine - INFO - Epoch(train) [197][1620/1879] lr: 1.0000e-04 eta: 13:21:42 time: 0.4336 data_time: 0.0167 memory: 17087 grad_norm: 6.6697 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8846 loss: 0.8846 2022/08/05 06:41:11 - mmengine - INFO - Epoch(train) [197][1640/1879] lr: 1.0000e-04 eta: 13:21:33 time: 0.4310 data_time: 0.0176 memory: 17087 grad_norm: 6.6334 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6899 loss: 0.6899 2022/08/05 06:41:20 - mmengine - INFO - Epoch(train) [197][1660/1879] lr: 1.0000e-04 eta: 13:21:25 time: 0.4336 data_time: 0.0149 memory: 17087 grad_norm: 6.9977 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9649 loss: 0.9649 2022/08/05 06:41:29 - mmengine - INFO - Epoch(train) [197][1680/1879] lr: 1.0000e-04 eta: 13:21:16 time: 0.4320 data_time: 0.0169 memory: 17087 grad_norm: 7.0000 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0767 loss: 1.0767 2022/08/05 06:41:38 - mmengine - INFO - Epoch(train) [197][1700/1879] lr: 1.0000e-04 eta: 13:21:07 time: 0.4373 data_time: 0.0160 memory: 17087 grad_norm: 7.0287 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8300 loss: 0.8300 2022/08/05 06:41:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 06:41:46 - mmengine - INFO - Epoch(train) [197][1720/1879] lr: 1.0000e-04 eta: 13:20:59 time: 0.4311 data_time: 0.0160 memory: 17087 grad_norm: 6.6891 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7467 loss: 0.7467 2022/08/05 06:41:55 - mmengine - INFO - Epoch(train) [197][1740/1879] lr: 1.0000e-04 eta: 13:20:50 time: 0.4453 data_time: 0.0138 memory: 17087 grad_norm: 6.7061 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8495 loss: 0.8495 2022/08/05 06:42:04 - mmengine - INFO - Epoch(train) [197][1760/1879] lr: 1.0000e-04 eta: 13:20:42 time: 0.4345 data_time: 0.0205 memory: 17087 grad_norm: 7.1419 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9716 loss: 0.9716 2022/08/05 06:42:13 - mmengine - INFO - Epoch(train) [197][1780/1879] lr: 1.0000e-04 eta: 13:20:33 time: 0.4569 data_time: 0.0163 memory: 17087 grad_norm: 6.7081 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7998 loss: 0.7998 2022/08/05 06:42:22 - mmengine - INFO - Epoch(train) [197][1800/1879] lr: 1.0000e-04 eta: 13:20:24 time: 0.4369 data_time: 0.0210 memory: 17087 grad_norm: 7.1879 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7997 loss: 0.7997 2022/08/05 06:42:31 - mmengine - INFO - Epoch(train) [197][1820/1879] lr: 1.0000e-04 eta: 13:20:16 time: 0.4444 data_time: 0.0163 memory: 17087 grad_norm: 6.8170 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8159 loss: 0.8159 2022/08/05 06:42:39 - mmengine - INFO - Epoch(train) [197][1840/1879] lr: 1.0000e-04 eta: 13:20:07 time: 0.4360 data_time: 0.0208 memory: 17087 grad_norm: 6.8209 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8197 loss: 0.8197 2022/08/05 06:42:48 - mmengine - INFO - Epoch(train) [197][1860/1879] lr: 1.0000e-04 eta: 13:19:58 time: 0.4318 data_time: 0.0149 memory: 17087 grad_norm: 6.9547 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8106 loss: 0.8106 2022/08/05 06:42:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 06:42:56 - mmengine - INFO - Epoch(train) [197][1879/1879] lr: 1.0000e-04 eta: 13:19:58 time: 0.4090 data_time: 0.0144 memory: 17087 grad_norm: 7.0000 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6864 loss: 0.6864 2022/08/05 06:43:07 - mmengine - INFO - Epoch(train) [198][20/1879] lr: 1.0000e-04 eta: 13:19:40 time: 0.5803 data_time: 0.1146 memory: 17087 grad_norm: 6.7320 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7592 loss: 0.7592 2022/08/05 06:43:16 - mmengine - INFO - Epoch(train) [198][40/1879] lr: 1.0000e-04 eta: 13:19:31 time: 0.4329 data_time: 0.0173 memory: 17087 grad_norm: 6.9638 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8779 loss: 0.8779 2022/08/05 06:43:25 - mmengine - INFO - Epoch(train) [198][60/1879] lr: 1.0000e-04 eta: 13:19:23 time: 0.4336 data_time: 0.0193 memory: 17087 grad_norm: 6.8936 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9679 loss: 0.9679 2022/08/05 06:43:33 - mmengine - INFO - Epoch(train) [198][80/1879] lr: 1.0000e-04 eta: 13:19:14 time: 0.4315 data_time: 0.0160 memory: 17087 grad_norm: 7.0703 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7615 loss: 0.7615 2022/08/05 06:43:42 - mmengine - INFO - Epoch(train) [198][100/1879] lr: 1.0000e-04 eta: 13:19:05 time: 0.4311 data_time: 0.0169 memory: 17087 grad_norm: 7.0808 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7993 loss: 0.7993 2022/08/05 06:43:51 - mmengine - INFO - Epoch(train) [198][120/1879] lr: 1.0000e-04 eta: 13:18:57 time: 0.4347 data_time: 0.0180 memory: 17087 grad_norm: 6.8875 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9574 loss: 0.9574 2022/08/05 06:43:59 - mmengine - INFO - Epoch(train) [198][140/1879] lr: 1.0000e-04 eta: 13:18:48 time: 0.4306 data_time: 0.0153 memory: 17087 grad_norm: 6.7862 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7918 loss: 0.7918 2022/08/05 06:44:09 - mmengine - INFO - Epoch(train) [198][160/1879] lr: 1.0000e-04 eta: 13:18:40 time: 0.4536 data_time: 0.0176 memory: 17087 grad_norm: 6.9331 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8688 loss: 0.8688 2022/08/05 06:44:17 - mmengine - INFO - Epoch(train) [198][180/1879] lr: 1.0000e-04 eta: 13:18:31 time: 0.4351 data_time: 0.0158 memory: 17087 grad_norm: 6.7342 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7183 loss: 0.7183 2022/08/05 06:44:26 - mmengine - INFO - Epoch(train) [198][200/1879] lr: 1.0000e-04 eta: 13:18:22 time: 0.4315 data_time: 0.0174 memory: 17087 grad_norm: 6.9900 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0437 loss: 1.0437 2022/08/05 06:44:35 - mmengine - INFO - Epoch(train) [198][220/1879] lr: 1.0000e-04 eta: 13:18:14 time: 0.4301 data_time: 0.0156 memory: 17087 grad_norm: 7.0359 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8623 loss: 0.8623 2022/08/05 06:44:43 - mmengine - INFO - Epoch(train) [198][240/1879] lr: 1.0000e-04 eta: 13:18:05 time: 0.4382 data_time: 0.0182 memory: 17087 grad_norm: 6.9350 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9848 loss: 0.9848 2022/08/05 06:44:52 - mmengine - INFO - Epoch(train) [198][260/1879] lr: 1.0000e-04 eta: 13:17:56 time: 0.4383 data_time: 0.0195 memory: 17087 grad_norm: 6.7672 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7706 loss: 0.7706 2022/08/05 06:45:01 - mmengine - INFO - Epoch(train) [198][280/1879] lr: 1.0000e-04 eta: 13:17:48 time: 0.4359 data_time: 0.0177 memory: 17087 grad_norm: 6.9621 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8259 loss: 0.8259 2022/08/05 06:45:10 - mmengine - INFO - Epoch(train) [198][300/1879] lr: 1.0000e-04 eta: 13:17:39 time: 0.4484 data_time: 0.0147 memory: 17087 grad_norm: 7.0800 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9107 loss: 0.9107 2022/08/05 06:45:19 - mmengine - INFO - Epoch(train) [198][320/1879] lr: 1.0000e-04 eta: 13:17:30 time: 0.4391 data_time: 0.0218 memory: 17087 grad_norm: 7.1457 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7737 loss: 0.7737 2022/08/05 06:45:27 - mmengine - INFO - Epoch(train) [198][340/1879] lr: 1.0000e-04 eta: 13:17:22 time: 0.4305 data_time: 0.0144 memory: 17087 grad_norm: 6.9713 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9276 loss: 0.9276 2022/08/05 06:45:36 - mmengine - INFO - Epoch(train) [198][360/1879] lr: 1.0000e-04 eta: 13:17:13 time: 0.4357 data_time: 0.0154 memory: 17087 grad_norm: 6.8852 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8648 loss: 0.8648 2022/08/05 06:45:45 - mmengine - INFO - Epoch(train) [198][380/1879] lr: 1.0000e-04 eta: 13:17:05 time: 0.4410 data_time: 0.0162 memory: 17087 grad_norm: 7.0192 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9108 loss: 0.9108 2022/08/05 06:45:54 - mmengine - INFO - Epoch(train) [198][400/1879] lr: 1.0000e-04 eta: 13:16:56 time: 0.4324 data_time: 0.0178 memory: 17087 grad_norm: 6.9427 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8411 loss: 0.8411 2022/08/05 06:46:02 - mmengine - INFO - Epoch(train) [198][420/1879] lr: 1.0000e-04 eta: 13:16:47 time: 0.4375 data_time: 0.0169 memory: 17087 grad_norm: 6.9485 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7761 loss: 0.7761 2022/08/05 06:46:11 - mmengine - INFO - Epoch(train) [198][440/1879] lr: 1.0000e-04 eta: 13:16:39 time: 0.4344 data_time: 0.0164 memory: 17087 grad_norm: 6.7714 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8421 loss: 0.8421 2022/08/05 06:46:20 - mmengine - INFO - Epoch(train) [198][460/1879] lr: 1.0000e-04 eta: 13:16:30 time: 0.4331 data_time: 0.0156 memory: 17087 grad_norm: 6.7671 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7898 loss: 0.7898 2022/08/05 06:46:28 - mmengine - INFO - Epoch(train) [198][480/1879] lr: 1.0000e-04 eta: 13:16:21 time: 0.4305 data_time: 0.0156 memory: 17087 grad_norm: 6.9536 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8221 loss: 0.8221 2022/08/05 06:46:37 - mmengine - INFO - Epoch(train) [198][500/1879] lr: 1.0000e-04 eta: 13:16:13 time: 0.4511 data_time: 0.0178 memory: 17087 grad_norm: 6.7516 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9717 loss: 0.9717 2022/08/05 06:46:46 - mmengine - INFO - Epoch(train) [198][520/1879] lr: 1.0000e-04 eta: 13:16:04 time: 0.4315 data_time: 0.0166 memory: 17087 grad_norm: 6.8296 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8209 loss: 0.8209 2022/08/05 06:46:55 - mmengine - INFO - Epoch(train) [198][540/1879] lr: 1.0000e-04 eta: 13:15:55 time: 0.4314 data_time: 0.0165 memory: 17087 grad_norm: 7.1339 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8558 loss: 0.8558 2022/08/05 06:47:04 - mmengine - INFO - Epoch(train) [198][560/1879] lr: 1.0000e-04 eta: 13:15:47 time: 0.4661 data_time: 0.0190 memory: 17087 grad_norm: 6.8649 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7300 loss: 0.7300 2022/08/05 06:47:13 - mmengine - INFO - Epoch(train) [198][580/1879] lr: 1.0000e-04 eta: 13:15:38 time: 0.4303 data_time: 0.0159 memory: 17087 grad_norm: 6.8487 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7773 loss: 0.7773 2022/08/05 06:47:21 - mmengine - INFO - Epoch(train) [198][600/1879] lr: 1.0000e-04 eta: 13:15:30 time: 0.4392 data_time: 0.0166 memory: 17087 grad_norm: 6.8447 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8123 loss: 0.8123 2022/08/05 06:47:30 - mmengine - INFO - Epoch(train) [198][620/1879] lr: 1.0000e-04 eta: 13:15:21 time: 0.4321 data_time: 0.0170 memory: 17087 grad_norm: 6.9145 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6770 loss: 0.6770 2022/08/05 06:47:39 - mmengine - INFO - Epoch(train) [198][640/1879] lr: 1.0000e-04 eta: 13:15:12 time: 0.4388 data_time: 0.0174 memory: 17087 grad_norm: 6.6895 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8086 loss: 0.8086 2022/08/05 06:47:48 - mmengine - INFO - Epoch(train) [198][660/1879] lr: 1.0000e-04 eta: 13:15:04 time: 0.4312 data_time: 0.0158 memory: 17087 grad_norm: 6.9149 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8109 loss: 0.8109 2022/08/05 06:47:56 - mmengine - INFO - Epoch(train) [198][680/1879] lr: 1.0000e-04 eta: 13:14:55 time: 0.4300 data_time: 0.0160 memory: 17087 grad_norm: 6.8069 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8469 loss: 0.8469 2022/08/05 06:48:05 - mmengine - INFO - Epoch(train) [198][700/1879] lr: 1.0000e-04 eta: 13:14:46 time: 0.4357 data_time: 0.0165 memory: 17087 grad_norm: 6.9322 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7900 loss: 0.7900 2022/08/05 06:48:14 - mmengine - INFO - Epoch(train) [198][720/1879] lr: 1.0000e-04 eta: 13:14:38 time: 0.4306 data_time: 0.0166 memory: 17087 grad_norm: 7.0382 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6191 loss: 0.6191 2022/08/05 06:48:22 - mmengine - INFO - Epoch(train) [198][740/1879] lr: 1.0000e-04 eta: 13:14:29 time: 0.4441 data_time: 0.0150 memory: 17087 grad_norm: 6.7604 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7624 loss: 0.7624 2022/08/05 06:48:31 - mmengine - INFO - Epoch(train) [198][760/1879] lr: 1.0000e-04 eta: 13:14:20 time: 0.4315 data_time: 0.0164 memory: 17087 grad_norm: 6.9504 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8412 loss: 0.8412 2022/08/05 06:48:40 - mmengine - INFO - Epoch(train) [198][780/1879] lr: 1.0000e-04 eta: 13:14:12 time: 0.4338 data_time: 0.0159 memory: 17087 grad_norm: 6.9140 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9448 loss: 0.9448 2022/08/05 06:48:48 - mmengine - INFO - Epoch(train) [198][800/1879] lr: 1.0000e-04 eta: 13:14:03 time: 0.4335 data_time: 0.0165 memory: 17087 grad_norm: 6.7637 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7363 loss: 0.7363 2022/08/05 06:48:57 - mmengine - INFO - Epoch(train) [198][820/1879] lr: 1.0000e-04 eta: 13:13:54 time: 0.4353 data_time: 0.0146 memory: 17087 grad_norm: 7.1046 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7889 loss: 0.7889 2022/08/05 06:49:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 06:49:06 - mmengine - INFO - Epoch(train) [198][840/1879] lr: 1.0000e-04 eta: 13:13:46 time: 0.4303 data_time: 0.0152 memory: 17087 grad_norm: 6.8240 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8532 loss: 0.8532 2022/08/05 06:49:14 - mmengine - INFO - Epoch(train) [198][860/1879] lr: 1.0000e-04 eta: 13:13:37 time: 0.4294 data_time: 0.0149 memory: 17087 grad_norm: 6.7285 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9243 loss: 0.9243 2022/08/05 06:49:23 - mmengine - INFO - Epoch(train) [198][880/1879] lr: 1.0000e-04 eta: 13:13:28 time: 0.4339 data_time: 0.0165 memory: 17087 grad_norm: 6.6693 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7441 loss: 0.7441 2022/08/05 06:49:32 - mmengine - INFO - Epoch(train) [198][900/1879] lr: 1.0000e-04 eta: 13:13:20 time: 0.4311 data_time: 0.0156 memory: 17087 grad_norm: 6.8919 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7201 loss: 0.7201 2022/08/05 06:49:41 - mmengine - INFO - Epoch(train) [198][920/1879] lr: 1.0000e-04 eta: 13:13:11 time: 0.4540 data_time: 0.0182 memory: 17087 grad_norm: 6.9004 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7581 loss: 0.7581 2022/08/05 06:49:50 - mmengine - INFO - Epoch(train) [198][940/1879] lr: 1.0000e-04 eta: 13:13:03 time: 0.4316 data_time: 0.0186 memory: 17087 grad_norm: 6.6490 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8411 loss: 0.8411 2022/08/05 06:49:58 - mmengine - INFO - Epoch(train) [198][960/1879] lr: 1.0000e-04 eta: 13:12:54 time: 0.4431 data_time: 0.0203 memory: 17087 grad_norm: 7.2117 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7688 loss: 0.7688 2022/08/05 06:50:07 - mmengine - INFO - Epoch(train) [198][980/1879] lr: 1.0000e-04 eta: 13:12:45 time: 0.4302 data_time: 0.0154 memory: 17087 grad_norm: 7.0075 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8152 loss: 0.8152 2022/08/05 06:50:16 - mmengine - INFO - Epoch(train) [198][1000/1879] lr: 1.0000e-04 eta: 13:12:37 time: 0.4309 data_time: 0.0161 memory: 17087 grad_norm: 7.0245 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7571 loss: 0.7571 2022/08/05 06:50:25 - mmengine - INFO - Epoch(train) [198][1020/1879] lr: 1.0000e-04 eta: 13:12:28 time: 0.4572 data_time: 0.0160 memory: 17087 grad_norm: 6.9409 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8814 loss: 0.8814 2022/08/05 06:50:33 - mmengine - INFO - Epoch(train) [198][1040/1879] lr: 1.0000e-04 eta: 13:12:19 time: 0.4294 data_time: 0.0171 memory: 17087 grad_norm: 7.0586 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7206 loss: 0.7206 2022/08/05 06:50:42 - mmengine - INFO - Epoch(train) [198][1060/1879] lr: 1.0000e-04 eta: 13:12:11 time: 0.4456 data_time: 0.0175 memory: 17087 grad_norm: 7.0743 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8600 loss: 0.8600 2022/08/05 06:50:51 - mmengine - INFO - Epoch(train) [198][1080/1879] lr: 1.0000e-04 eta: 13:12:02 time: 0.4361 data_time: 0.0214 memory: 17087 grad_norm: 6.7330 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6796 loss: 0.6796 2022/08/05 06:51:00 - mmengine - INFO - Epoch(train) [198][1100/1879] lr: 1.0000e-04 eta: 13:11:54 time: 0.4288 data_time: 0.0148 memory: 17087 grad_norm: 6.9381 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8525 loss: 0.8525 2022/08/05 06:51:08 - mmengine - INFO - Epoch(train) [198][1120/1879] lr: 1.0000e-04 eta: 13:11:45 time: 0.4333 data_time: 0.0179 memory: 17087 grad_norm: 6.7248 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8499 loss: 0.8499 2022/08/05 06:51:17 - mmengine - INFO - Epoch(train) [198][1140/1879] lr: 1.0000e-04 eta: 13:11:36 time: 0.4350 data_time: 0.0148 memory: 17087 grad_norm: 7.1580 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7828 loss: 0.7828 2022/08/05 06:51:26 - mmengine - INFO - Epoch(train) [198][1160/1879] lr: 1.0000e-04 eta: 13:11:28 time: 0.4406 data_time: 0.0167 memory: 17087 grad_norm: 7.1566 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7634 loss: 0.7634 2022/08/05 06:51:35 - mmengine - INFO - Epoch(train) [198][1180/1879] lr: 1.0000e-04 eta: 13:11:19 time: 0.4343 data_time: 0.0200 memory: 17087 grad_norm: 6.6836 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7873 loss: 0.7873 2022/08/05 06:51:44 - mmengine - INFO - Epoch(train) [198][1200/1879] lr: 1.0000e-04 eta: 13:11:10 time: 0.4497 data_time: 0.0155 memory: 17087 grad_norm: 6.9131 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8138 loss: 0.8138 2022/08/05 06:51:52 - mmengine - INFO - Epoch(train) [198][1220/1879] lr: 1.0000e-04 eta: 13:11:02 time: 0.4351 data_time: 0.0163 memory: 17087 grad_norm: 7.0144 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7822 loss: 0.7822 2022/08/05 06:52:01 - mmengine - INFO - Epoch(train) [198][1240/1879] lr: 1.0000e-04 eta: 13:10:53 time: 0.4333 data_time: 0.0169 memory: 17087 grad_norm: 6.8435 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7731 loss: 0.7731 2022/08/05 06:52:10 - mmengine - INFO - Epoch(train) [198][1260/1879] lr: 1.0000e-04 eta: 13:10:44 time: 0.4290 data_time: 0.0150 memory: 17087 grad_norm: 6.9946 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7662 loss: 0.7662 2022/08/05 06:52:18 - mmengine - INFO - Epoch(train) [198][1280/1879] lr: 1.0000e-04 eta: 13:10:36 time: 0.4353 data_time: 0.0166 memory: 17087 grad_norm: 6.7781 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7626 loss: 0.7626 2022/08/05 06:52:27 - mmengine - INFO - Epoch(train) [198][1300/1879] lr: 1.0000e-04 eta: 13:10:27 time: 0.4298 data_time: 0.0150 memory: 17087 grad_norm: 7.0508 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8627 loss: 0.8627 2022/08/05 06:52:36 - mmengine - INFO - Epoch(train) [198][1320/1879] lr: 1.0000e-04 eta: 13:10:18 time: 0.4342 data_time: 0.0207 memory: 17087 grad_norm: 6.8472 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8322 loss: 0.8322 2022/08/05 06:52:44 - mmengine - INFO - Epoch(train) [198][1340/1879] lr: 1.0000e-04 eta: 13:10:10 time: 0.4315 data_time: 0.0158 memory: 17087 grad_norm: 7.3086 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9297 loss: 0.9297 2022/08/05 06:52:53 - mmengine - INFO - Epoch(train) [198][1360/1879] lr: 1.0000e-04 eta: 13:10:01 time: 0.4314 data_time: 0.0174 memory: 17087 grad_norm: 6.6753 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7559 loss: 0.7559 2022/08/05 06:53:02 - mmengine - INFO - Epoch(train) [198][1380/1879] lr: 1.0000e-04 eta: 13:09:53 time: 0.4325 data_time: 0.0146 memory: 17087 grad_norm: 6.7263 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8572 loss: 0.8572 2022/08/05 06:53:10 - mmengine - INFO - Epoch(train) [198][1400/1879] lr: 1.0000e-04 eta: 13:09:44 time: 0.4314 data_time: 0.0191 memory: 17087 grad_norm: 7.0065 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9739 loss: 0.9739 2022/08/05 06:53:19 - mmengine - INFO - Epoch(train) [198][1420/1879] lr: 1.0000e-04 eta: 13:09:35 time: 0.4511 data_time: 0.0148 memory: 17087 grad_norm: 6.9164 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8941 loss: 0.8941 2022/08/05 06:53:28 - mmengine - INFO - Epoch(train) [198][1440/1879] lr: 1.0000e-04 eta: 13:09:27 time: 0.4301 data_time: 0.0168 memory: 17087 grad_norm: 7.0838 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9007 loss: 0.9007 2022/08/05 06:53:37 - mmengine - INFO - Epoch(train) [198][1460/1879] lr: 1.0000e-04 eta: 13:09:18 time: 0.4309 data_time: 0.0143 memory: 17087 grad_norm: 7.0356 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8375 loss: 0.8375 2022/08/05 06:53:45 - mmengine - INFO - Epoch(train) [198][1480/1879] lr: 1.0000e-04 eta: 13:09:09 time: 0.4333 data_time: 0.0169 memory: 17087 grad_norm: 6.9760 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9907 loss: 0.9907 2022/08/05 06:53:54 - mmengine - INFO - Epoch(train) [198][1500/1879] lr: 1.0000e-04 eta: 13:09:01 time: 0.4303 data_time: 0.0160 memory: 17087 grad_norm: 6.9527 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8376 loss: 0.8376 2022/08/05 06:54:03 - mmengine - INFO - Epoch(train) [198][1520/1879] lr: 1.0000e-04 eta: 13:08:52 time: 0.4345 data_time: 0.0166 memory: 17087 grad_norm: 6.8412 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6965 loss: 0.6965 2022/08/05 06:54:11 - mmengine - INFO - Epoch(train) [198][1540/1879] lr: 1.0000e-04 eta: 13:08:43 time: 0.4301 data_time: 0.0160 memory: 17087 grad_norm: 6.5898 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7966 loss: 0.7966 2022/08/05 06:54:20 - mmengine - INFO - Epoch(train) [198][1560/1879] lr: 1.0000e-04 eta: 13:08:35 time: 0.4422 data_time: 0.0167 memory: 17087 grad_norm: 6.7878 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8706 loss: 0.8706 2022/08/05 06:54:29 - mmengine - INFO - Epoch(train) [198][1580/1879] lr: 1.0000e-04 eta: 13:08:26 time: 0.4275 data_time: 0.0142 memory: 17087 grad_norm: 6.9542 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7874 loss: 0.7874 2022/08/05 06:54:37 - mmengine - INFO - Epoch(train) [198][1600/1879] lr: 1.0000e-04 eta: 13:08:17 time: 0.4323 data_time: 0.0166 memory: 17087 grad_norm: 6.9822 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7734 loss: 0.7734 2022/08/05 06:54:46 - mmengine - INFO - Epoch(train) [198][1620/1879] lr: 1.0000e-04 eta: 13:08:09 time: 0.4449 data_time: 0.0144 memory: 17087 grad_norm: 6.9650 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8613 loss: 0.8613 2022/08/05 06:54:55 - mmengine - INFO - Epoch(train) [198][1640/1879] lr: 1.0000e-04 eta: 13:08:00 time: 0.4350 data_time: 0.0177 memory: 17087 grad_norm: 6.8225 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0110 loss: 1.0110 2022/08/05 06:55:04 - mmengine - INFO - Epoch(train) [198][1660/1879] lr: 1.0000e-04 eta: 13:07:51 time: 0.4296 data_time: 0.0149 memory: 17087 grad_norm: 7.1236 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8366 loss: 0.8366 2022/08/05 06:55:13 - mmengine - INFO - Epoch(train) [198][1680/1879] lr: 1.0000e-04 eta: 13:07:43 time: 0.4429 data_time: 0.0174 memory: 17087 grad_norm: 6.7792 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8531 loss: 0.8531 2022/08/05 06:55:21 - mmengine - INFO - Epoch(train) [198][1700/1879] lr: 1.0000e-04 eta: 13:07:34 time: 0.4303 data_time: 0.0159 memory: 17087 grad_norm: 6.8682 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9339 loss: 0.9339 2022/08/05 06:55:30 - mmengine - INFO - Epoch(train) [198][1720/1879] lr: 1.0000e-04 eta: 13:07:26 time: 0.4353 data_time: 0.0159 memory: 17087 grad_norm: 6.9914 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9517 loss: 0.9517 2022/08/05 06:55:39 - mmengine - INFO - Epoch(train) [198][1740/1879] lr: 1.0000e-04 eta: 13:07:17 time: 0.4349 data_time: 0.0149 memory: 17087 grad_norm: 6.8190 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7498 loss: 0.7498 2022/08/05 06:55:47 - mmengine - INFO - Epoch(train) [198][1760/1879] lr: 1.0000e-04 eta: 13:07:08 time: 0.4300 data_time: 0.0162 memory: 17087 grad_norm: 7.0858 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9669 loss: 0.9669 2022/08/05 06:55:56 - mmengine - INFO - Epoch(train) [198][1780/1879] lr: 1.0000e-04 eta: 13:07:00 time: 0.4319 data_time: 0.0175 memory: 17087 grad_norm: 7.1071 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6791 loss: 0.6791 2022/08/05 06:56:05 - mmengine - INFO - Epoch(train) [198][1800/1879] lr: 1.0000e-04 eta: 13:06:51 time: 0.4327 data_time: 0.0173 memory: 17087 grad_norm: 6.9931 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7843 loss: 0.7843 2022/08/05 06:56:13 - mmengine - INFO - Epoch(train) [198][1820/1879] lr: 1.0000e-04 eta: 13:06:42 time: 0.4321 data_time: 0.0160 memory: 17087 grad_norm: 6.8742 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6065 loss: 0.6065 2022/08/05 06:56:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 06:56:22 - mmengine - INFO - Epoch(train) [198][1840/1879] lr: 1.0000e-04 eta: 13:06:34 time: 0.4332 data_time: 0.0188 memory: 17087 grad_norm: 6.8629 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8524 loss: 0.8524 2022/08/05 06:56:31 - mmengine - INFO - Epoch(train) [198][1860/1879] lr: 1.0000e-04 eta: 13:06:25 time: 0.4357 data_time: 0.0152 memory: 17087 grad_norm: 7.2489 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9084 loss: 0.9084 2022/08/05 06:56:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 06:56:39 - mmengine - INFO - Epoch(train) [198][1879/1879] lr: 1.0000e-04 eta: 13:06:25 time: 0.4121 data_time: 0.0147 memory: 17087 grad_norm: 7.1821 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.9086 loss: 0.9086 2022/08/05 06:56:50 - mmengine - INFO - Epoch(train) [199][20/1879] lr: 1.0000e-04 eta: 13:06:06 time: 0.5590 data_time: 0.1167 memory: 17087 grad_norm: 6.8529 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9058 loss: 0.9058 2022/08/05 06:56:59 - mmengine - INFO - Epoch(train) [199][40/1879] lr: 1.0000e-04 eta: 13:05:58 time: 0.4360 data_time: 0.0156 memory: 17087 grad_norm: 6.9801 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8953 loss: 0.8953 2022/08/05 06:57:07 - mmengine - INFO - Epoch(train) [199][60/1879] lr: 1.0000e-04 eta: 13:05:49 time: 0.4291 data_time: 0.0149 memory: 17087 grad_norm: 6.8536 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6608 loss: 0.6608 2022/08/05 06:57:16 - mmengine - INFO - Epoch(train) [199][80/1879] lr: 1.0000e-04 eta: 13:05:40 time: 0.4383 data_time: 0.0172 memory: 17087 grad_norm: 6.9751 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8313 loss: 0.8313 2022/08/05 06:57:25 - mmengine - INFO - Epoch(train) [199][100/1879] lr: 1.0000e-04 eta: 13:05:32 time: 0.4483 data_time: 0.0143 memory: 17087 grad_norm: 7.0782 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8280 loss: 0.8280 2022/08/05 06:57:34 - mmengine - INFO - Epoch(train) [199][120/1879] lr: 1.0000e-04 eta: 13:05:23 time: 0.4388 data_time: 0.0222 memory: 17087 grad_norm: 7.0923 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8781 loss: 0.8781 2022/08/05 06:57:42 - mmengine - INFO - Epoch(train) [199][140/1879] lr: 1.0000e-04 eta: 13:05:15 time: 0.4310 data_time: 0.0139 memory: 17087 grad_norm: 7.1312 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8547 loss: 0.8547 2022/08/05 06:57:51 - mmengine - INFO - Epoch(train) [199][160/1879] lr: 1.0000e-04 eta: 13:05:06 time: 0.4328 data_time: 0.0168 memory: 17087 grad_norm: 6.9275 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7925 loss: 0.7925 2022/08/05 06:58:00 - mmengine - INFO - Epoch(train) [199][180/1879] lr: 1.0000e-04 eta: 13:04:57 time: 0.4293 data_time: 0.0154 memory: 17087 grad_norm: 7.0766 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9349 loss: 0.9349 2022/08/05 06:58:08 - mmengine - INFO - Epoch(train) [199][200/1879] lr: 1.0000e-04 eta: 13:04:49 time: 0.4359 data_time: 0.0215 memory: 17087 grad_norm: 7.1081 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8682 loss: 0.8682 2022/08/05 06:58:17 - mmengine - INFO - Epoch(train) [199][220/1879] lr: 1.0000e-04 eta: 13:04:40 time: 0.4276 data_time: 0.0144 memory: 17087 grad_norm: 6.8494 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7542 loss: 0.7542 2022/08/05 06:58:26 - mmengine - INFO - Epoch(train) [199][240/1879] lr: 1.0000e-04 eta: 13:04:31 time: 0.4445 data_time: 0.0165 memory: 17087 grad_norm: 6.9727 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5852 loss: 0.5852 2022/08/05 06:58:34 - mmengine - INFO - Epoch(train) [199][260/1879] lr: 1.0000e-04 eta: 13:04:23 time: 0.4308 data_time: 0.0153 memory: 17087 grad_norm: 6.9544 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8465 loss: 0.8465 2022/08/05 06:58:43 - mmengine - INFO - Epoch(train) [199][280/1879] lr: 1.0000e-04 eta: 13:04:14 time: 0.4340 data_time: 0.0179 memory: 17087 grad_norm: 6.6993 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7905 loss: 0.7905 2022/08/05 06:58:52 - mmengine - INFO - Epoch(train) [199][300/1879] lr: 1.0000e-04 eta: 13:04:05 time: 0.4307 data_time: 0.0156 memory: 17087 grad_norm: 7.2094 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8289 loss: 0.8289 2022/08/05 06:59:01 - mmengine - INFO - Epoch(train) [199][320/1879] lr: 1.0000e-04 eta: 13:03:57 time: 0.4385 data_time: 0.0166 memory: 17087 grad_norm: 6.8070 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7118 loss: 0.7118 2022/08/05 06:59:09 - mmengine - INFO - Epoch(train) [199][340/1879] lr: 1.0000e-04 eta: 13:03:48 time: 0.4288 data_time: 0.0144 memory: 17087 grad_norm: 6.8482 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9139 loss: 0.9139 2022/08/05 06:59:18 - mmengine - INFO - Epoch(train) [199][360/1879] lr: 1.0000e-04 eta: 13:03:39 time: 0.4317 data_time: 0.0162 memory: 17087 grad_norm: 6.8797 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8116 loss: 0.8116 2022/08/05 06:59:26 - mmengine - INFO - Epoch(train) [199][380/1879] lr: 1.0000e-04 eta: 13:03:31 time: 0.4305 data_time: 0.0158 memory: 17087 grad_norm: 7.0636 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9104 loss: 0.9104 2022/08/05 06:59:35 - mmengine - INFO - Epoch(train) [199][400/1879] lr: 1.0000e-04 eta: 13:03:22 time: 0.4420 data_time: 0.0202 memory: 17087 grad_norm: 7.1695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8844 loss: 0.8844 2022/08/05 06:59:44 - mmengine - INFO - Epoch(train) [199][420/1879] lr: 1.0000e-04 eta: 13:03:13 time: 0.4298 data_time: 0.0143 memory: 17087 grad_norm: 6.9362 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7904 loss: 0.7904 2022/08/05 06:59:53 - mmengine - INFO - Epoch(train) [199][440/1879] lr: 1.0000e-04 eta: 13:03:05 time: 0.4438 data_time: 0.0220 memory: 17087 grad_norm: 6.9998 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9781 loss: 0.9781 2022/08/05 07:00:02 - mmengine - INFO - Epoch(train) [199][460/1879] lr: 1.0000e-04 eta: 13:02:56 time: 0.4314 data_time: 0.0131 memory: 17087 grad_norm: 7.0465 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7064 loss: 0.7064 2022/08/05 07:00:10 - mmengine - INFO - Epoch(train) [199][480/1879] lr: 1.0000e-04 eta: 13:02:48 time: 0.4400 data_time: 0.0171 memory: 17087 grad_norm: 6.8867 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8089 loss: 0.8089 2022/08/05 07:00:19 - mmengine - INFO - Epoch(train) [199][500/1879] lr: 1.0000e-04 eta: 13:02:39 time: 0.4308 data_time: 0.0132 memory: 17087 grad_norm: 7.1376 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8165 loss: 0.8165 2022/08/05 07:00:28 - mmengine - INFO - Epoch(train) [199][520/1879] lr: 1.0000e-04 eta: 13:02:30 time: 0.4310 data_time: 0.0166 memory: 17087 grad_norm: 6.6697 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7570 loss: 0.7570 2022/08/05 07:00:36 - mmengine - INFO - Epoch(train) [199][540/1879] lr: 1.0000e-04 eta: 13:02:22 time: 0.4310 data_time: 0.0157 memory: 17087 grad_norm: 6.6942 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8930 loss: 0.8930 2022/08/05 07:00:45 - mmengine - INFO - Epoch(train) [199][560/1879] lr: 1.0000e-04 eta: 13:02:13 time: 0.4281 data_time: 0.0149 memory: 17087 grad_norm: 6.8813 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9320 loss: 0.9320 2022/08/05 07:00:54 - mmengine - INFO - Epoch(train) [199][580/1879] lr: 1.0000e-04 eta: 13:02:04 time: 0.4334 data_time: 0.0154 memory: 17087 grad_norm: 6.8946 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8379 loss: 0.8379 2022/08/05 07:01:02 - mmengine - INFO - Epoch(train) [199][600/1879] lr: 1.0000e-04 eta: 13:01:56 time: 0.4314 data_time: 0.0171 memory: 17087 grad_norm: 6.8604 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7992 loss: 0.7992 2022/08/05 07:01:11 - mmengine - INFO - Epoch(train) [199][620/1879] lr: 1.0000e-04 eta: 13:01:47 time: 0.4544 data_time: 0.0187 memory: 17087 grad_norm: 6.7868 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8526 loss: 0.8526 2022/08/05 07:01:20 - mmengine - INFO - Epoch(train) [199][640/1879] lr: 1.0000e-04 eta: 13:01:38 time: 0.4310 data_time: 0.0162 memory: 17087 grad_norm: 7.0438 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8001 loss: 0.8001 2022/08/05 07:01:29 - mmengine - INFO - Epoch(train) [199][660/1879] lr: 1.0000e-04 eta: 13:01:30 time: 0.4371 data_time: 0.0203 memory: 17087 grad_norm: 7.0448 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8604 loss: 0.8604 2022/08/05 07:01:37 - mmengine - INFO - Epoch(train) [199][680/1879] lr: 1.0000e-04 eta: 13:01:21 time: 0.4297 data_time: 0.0158 memory: 17087 grad_norm: 6.9496 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9149 loss: 0.9149 2022/08/05 07:01:46 - mmengine - INFO - Epoch(train) [199][700/1879] lr: 1.0000e-04 eta: 13:01:12 time: 0.4289 data_time: 0.0147 memory: 17087 grad_norm: 7.0429 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7590 loss: 0.7590 2022/08/05 07:01:55 - mmengine - INFO - Epoch(train) [199][720/1879] lr: 1.0000e-04 eta: 13:01:04 time: 0.4550 data_time: 0.0178 memory: 17087 grad_norm: 6.9411 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8325 loss: 0.8325 2022/08/05 07:02:04 - mmengine - INFO - Epoch(train) [199][740/1879] lr: 1.0000e-04 eta: 13:00:55 time: 0.4384 data_time: 0.0158 memory: 17087 grad_norm: 6.6599 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6458 loss: 0.6458 2022/08/05 07:02:13 - mmengine - INFO - Epoch(train) [199][760/1879] lr: 1.0000e-04 eta: 13:00:47 time: 0.4577 data_time: 0.0155 memory: 17087 grad_norm: 7.0082 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8740 loss: 0.8740 2022/08/05 07:02:22 - mmengine - INFO - Epoch(train) [199][780/1879] lr: 1.0000e-04 eta: 13:00:38 time: 0.4308 data_time: 0.0159 memory: 17087 grad_norm: 7.1085 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7439 loss: 0.7439 2022/08/05 07:02:30 - mmengine - INFO - Epoch(train) [199][800/1879] lr: 1.0000e-04 eta: 13:00:29 time: 0.4426 data_time: 0.0206 memory: 17087 grad_norm: 6.9341 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7880 loss: 0.7880 2022/08/05 07:02:39 - mmengine - INFO - Epoch(train) [199][820/1879] lr: 1.0000e-04 eta: 13:00:21 time: 0.4304 data_time: 0.0147 memory: 17087 grad_norm: 6.9782 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8364 loss: 0.8364 2022/08/05 07:02:48 - mmengine - INFO - Epoch(train) [199][840/1879] lr: 1.0000e-04 eta: 13:00:12 time: 0.4326 data_time: 0.0162 memory: 17087 grad_norm: 7.1613 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7904 loss: 0.7904 2022/08/05 07:02:57 - mmengine - INFO - Epoch(train) [199][860/1879] lr: 1.0000e-04 eta: 13:00:03 time: 0.4344 data_time: 0.0158 memory: 17087 grad_norm: 6.9092 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8416 loss: 0.8416 2022/08/05 07:03:05 - mmengine - INFO - Epoch(train) [199][880/1879] lr: 1.0000e-04 eta: 12:59:55 time: 0.4315 data_time: 0.0156 memory: 17087 grad_norm: 7.1709 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9421 loss: 0.9421 2022/08/05 07:03:14 - mmengine - INFO - Epoch(train) [199][900/1879] lr: 1.0000e-04 eta: 12:59:46 time: 0.4521 data_time: 0.0159 memory: 17087 grad_norm: 7.0721 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9609 loss: 0.9609 2022/08/05 07:03:23 - mmengine - INFO - Epoch(train) [199][920/1879] lr: 1.0000e-04 eta: 12:59:38 time: 0.4294 data_time: 0.0153 memory: 17087 grad_norm: 6.7777 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9219 loss: 0.9219 2022/08/05 07:03:32 - mmengine - INFO - Epoch(train) [199][940/1879] lr: 1.0000e-04 eta: 12:59:29 time: 0.4364 data_time: 0.0237 memory: 17087 grad_norm: 6.8030 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7582 loss: 0.7582 2022/08/05 07:03:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 07:03:40 - mmengine - INFO - Epoch(train) [199][960/1879] lr: 1.0000e-04 eta: 12:59:20 time: 0.4310 data_time: 0.0171 memory: 17087 grad_norm: 6.8920 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8460 loss: 0.8460 2022/08/05 07:03:49 - mmengine - INFO - Epoch(train) [199][980/1879] lr: 1.0000e-04 eta: 12:59:12 time: 0.4332 data_time: 0.0148 memory: 17087 grad_norm: 6.8601 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8475 loss: 0.8475 2022/08/05 07:03:58 - mmengine - INFO - Epoch(train) [199][1000/1879] lr: 1.0000e-04 eta: 12:59:03 time: 0.4298 data_time: 0.0165 memory: 17087 grad_norm: 6.7727 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7610 loss: 0.7610 2022/08/05 07:04:06 - mmengine - INFO - Epoch(train) [199][1020/1879] lr: 1.0000e-04 eta: 12:58:54 time: 0.4290 data_time: 0.0149 memory: 17087 grad_norm: 7.0635 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8036 loss: 0.8036 2022/08/05 07:04:15 - mmengine - INFO - Epoch(train) [199][1040/1879] lr: 1.0000e-04 eta: 12:58:46 time: 0.4586 data_time: 0.0171 memory: 17087 grad_norm: 6.9087 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8126 loss: 0.8126 2022/08/05 07:04:24 - mmengine - INFO - Epoch(train) [199][1060/1879] lr: 1.0000e-04 eta: 12:58:37 time: 0.4307 data_time: 0.0158 memory: 17087 grad_norm: 6.8825 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8395 loss: 0.8395 2022/08/05 07:04:33 - mmengine - INFO - Epoch(train) [199][1080/1879] lr: 1.0000e-04 eta: 12:58:28 time: 0.4469 data_time: 0.0218 memory: 17087 grad_norm: 7.0716 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8627 loss: 0.8627 2022/08/05 07:04:42 - mmengine - INFO - Epoch(train) [199][1100/1879] lr: 1.0000e-04 eta: 12:58:20 time: 0.4338 data_time: 0.0152 memory: 17087 grad_norm: 7.1262 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9290 loss: 0.9290 2022/08/05 07:04:50 - mmengine - INFO - Epoch(train) [199][1120/1879] lr: 1.0000e-04 eta: 12:58:11 time: 0.4360 data_time: 0.0167 memory: 17087 grad_norm: 6.9538 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7221 loss: 0.7221 2022/08/05 07:04:59 - mmengine - INFO - Epoch(train) [199][1140/1879] lr: 1.0000e-04 eta: 12:58:02 time: 0.4304 data_time: 0.0151 memory: 17087 grad_norm: 7.0791 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7775 loss: 0.7775 2022/08/05 07:05:08 - mmengine - INFO - Epoch(train) [199][1160/1879] lr: 1.0000e-04 eta: 12:57:54 time: 0.4311 data_time: 0.0179 memory: 17087 grad_norm: 6.8847 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8989 loss: 0.8989 2022/08/05 07:05:16 - mmengine - INFO - Epoch(train) [199][1180/1879] lr: 1.0000e-04 eta: 12:57:45 time: 0.4327 data_time: 0.0163 memory: 17087 grad_norm: 7.0430 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6737 loss: 0.6737 2022/08/05 07:05:25 - mmengine - INFO - Epoch(train) [199][1200/1879] lr: 1.0000e-04 eta: 12:57:36 time: 0.4289 data_time: 0.0158 memory: 17087 grad_norm: 6.9024 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8987 loss: 0.8987 2022/08/05 07:05:34 - mmengine - INFO - Epoch(train) [199][1220/1879] lr: 1.0000e-04 eta: 12:57:28 time: 0.4411 data_time: 0.0165 memory: 17087 grad_norm: 6.9386 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9015 loss: 0.9015 2022/08/05 07:05:42 - mmengine - INFO - Epoch(train) [199][1240/1879] lr: 1.0000e-04 eta: 12:57:19 time: 0.4304 data_time: 0.0155 memory: 17087 grad_norm: 6.6521 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 0.8353 loss: 0.8353 2022/08/05 07:05:51 - mmengine - INFO - Epoch(train) [199][1260/1879] lr: 1.0000e-04 eta: 12:57:11 time: 0.4539 data_time: 0.0172 memory: 17087 grad_norm: 6.8583 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8399 loss: 0.8399 2022/08/05 07:06:00 - mmengine - INFO - Epoch(train) [199][1280/1879] lr: 1.0000e-04 eta: 12:57:02 time: 0.4294 data_time: 0.0162 memory: 17087 grad_norm: 6.9690 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8376 loss: 0.8376 2022/08/05 07:06:09 - mmengine - INFO - Epoch(train) [199][1300/1879] lr: 1.0000e-04 eta: 12:56:53 time: 0.4369 data_time: 0.0199 memory: 17087 grad_norm: 6.9680 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8325 loss: 0.8325 2022/08/05 07:06:17 - mmengine - INFO - Epoch(train) [199][1320/1879] lr: 1.0000e-04 eta: 12:56:45 time: 0.4304 data_time: 0.0156 memory: 17087 grad_norm: 6.9904 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8718 loss: 0.8718 2022/08/05 07:06:26 - mmengine - INFO - Epoch(train) [199][1340/1879] lr: 1.0000e-04 eta: 12:56:36 time: 0.4302 data_time: 0.0151 memory: 17087 grad_norm: 6.8828 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7150 loss: 0.7150 2022/08/05 07:06:35 - mmengine - INFO - Epoch(train) [199][1360/1879] lr: 1.0000e-04 eta: 12:56:27 time: 0.4373 data_time: 0.0168 memory: 17087 grad_norm: 6.9646 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6565 loss: 0.6565 2022/08/05 07:06:43 - mmengine - INFO - Epoch(train) [199][1380/1879] lr: 1.0000e-04 eta: 12:56:19 time: 0.4297 data_time: 0.0145 memory: 17087 grad_norm: 6.8304 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8337 loss: 0.8337 2022/08/05 07:06:52 - mmengine - INFO - Epoch(train) [199][1400/1879] lr: 1.0000e-04 eta: 12:56:10 time: 0.4325 data_time: 0.0173 memory: 17087 grad_norm: 6.7076 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7800 loss: 0.7800 2022/08/05 07:07:01 - mmengine - INFO - Epoch(train) [199][1420/1879] lr: 1.0000e-04 eta: 12:56:01 time: 0.4315 data_time: 0.0168 memory: 17087 grad_norm: 6.9256 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8635 loss: 0.8635 2022/08/05 07:07:10 - mmengine - INFO - Epoch(train) [199][1440/1879] lr: 1.0000e-04 eta: 12:55:53 time: 0.4465 data_time: 0.0167 memory: 17087 grad_norm: 7.1619 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7879 loss: 0.7879 2022/08/05 07:07:18 - mmengine - INFO - Epoch(train) [199][1460/1879] lr: 1.0000e-04 eta: 12:55:44 time: 0.4313 data_time: 0.0151 memory: 17087 grad_norm: 6.6467 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7974 loss: 0.7974 2022/08/05 07:07:27 - mmengine - INFO - Epoch(train) [199][1480/1879] lr: 1.0000e-04 eta: 12:55:35 time: 0.4343 data_time: 0.0177 memory: 17087 grad_norm: 7.1450 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9629 loss: 0.9629 2022/08/05 07:07:36 - mmengine - INFO - Epoch(train) [199][1500/1879] lr: 1.0000e-04 eta: 12:55:27 time: 0.4297 data_time: 0.0141 memory: 17087 grad_norm: 6.9376 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0300 loss: 1.0300 2022/08/05 07:07:44 - mmengine - INFO - Epoch(train) [199][1520/1879] lr: 1.0000e-04 eta: 12:55:18 time: 0.4331 data_time: 0.0169 memory: 17087 grad_norm: 6.9969 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8239 loss: 0.8239 2022/08/05 07:07:53 - mmengine - INFO - Epoch(train) [199][1540/1879] lr: 1.0000e-04 eta: 12:55:09 time: 0.4306 data_time: 0.0147 memory: 17087 grad_norm: 6.5942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7745 loss: 0.7745 2022/08/05 07:08:02 - mmengine - INFO - Epoch(train) [199][1560/1879] lr: 1.0000e-04 eta: 12:55:01 time: 0.4393 data_time: 0.0158 memory: 17087 grad_norm: 7.0619 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7733 loss: 0.7733 2022/08/05 07:08:11 - mmengine - INFO - Epoch(train) [199][1580/1879] lr: 1.0000e-04 eta: 12:54:52 time: 0.4319 data_time: 0.0156 memory: 17087 grad_norm: 7.1153 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8603 loss: 0.8603 2022/08/05 07:08:20 - mmengine - INFO - Epoch(train) [199][1600/1879] lr: 1.0000e-04 eta: 12:54:44 time: 0.4507 data_time: 0.0169 memory: 17087 grad_norm: 6.8459 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9151 loss: 0.9151 2022/08/05 07:08:28 - mmengine - INFO - Epoch(train) [199][1620/1879] lr: 1.0000e-04 eta: 12:54:35 time: 0.4291 data_time: 0.0154 memory: 17087 grad_norm: 7.0191 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7785 loss: 0.7785 2022/08/05 07:08:37 - mmengine - INFO - Epoch(train) [199][1640/1879] lr: 1.0000e-04 eta: 12:54:26 time: 0.4349 data_time: 0.0161 memory: 17087 grad_norm: 6.8909 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7332 loss: 0.7332 2022/08/05 07:08:46 - mmengine - INFO - Epoch(train) [199][1660/1879] lr: 1.0000e-04 eta: 12:54:18 time: 0.4329 data_time: 0.0164 memory: 17087 grad_norm: 7.0135 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7253 loss: 0.7253 2022/08/05 07:08:54 - mmengine - INFO - Epoch(train) [199][1680/1879] lr: 1.0000e-04 eta: 12:54:09 time: 0.4297 data_time: 0.0154 memory: 17087 grad_norm: 7.2699 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8341 loss: 0.8341 2022/08/05 07:09:03 - mmengine - INFO - Epoch(train) [199][1700/1879] lr: 1.0000e-04 eta: 12:54:00 time: 0.4306 data_time: 0.0162 memory: 17087 grad_norm: 6.8551 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8178 loss: 0.8178 2022/08/05 07:09:11 - mmengine - INFO - Epoch(train) [199][1720/1879] lr: 1.0000e-04 eta: 12:53:52 time: 0.4309 data_time: 0.0168 memory: 17087 grad_norm: 6.8651 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8467 loss: 0.8467 2022/08/05 07:09:20 - mmengine - INFO - Epoch(train) [199][1740/1879] lr: 1.0000e-04 eta: 12:53:43 time: 0.4515 data_time: 0.0174 memory: 17087 grad_norm: 6.9529 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7590 loss: 0.7590 2022/08/05 07:09:29 - mmengine - INFO - Epoch(train) [199][1760/1879] lr: 1.0000e-04 eta: 12:53:34 time: 0.4294 data_time: 0.0162 memory: 17087 grad_norm: 6.9230 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7096 loss: 0.7096 2022/08/05 07:09:38 - mmengine - INFO - Epoch(train) [199][1780/1879] lr: 1.0000e-04 eta: 12:53:26 time: 0.4303 data_time: 0.0141 memory: 17087 grad_norm: 6.9059 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9399 loss: 0.9399 2022/08/05 07:09:46 - mmengine - INFO - Epoch(train) [199][1800/1879] lr: 1.0000e-04 eta: 12:53:17 time: 0.4300 data_time: 0.0153 memory: 17087 grad_norm: 7.2891 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9023 loss: 0.9023 2022/08/05 07:09:55 - mmengine - INFO - Epoch(train) [199][1820/1879] lr: 1.0000e-04 eta: 12:53:08 time: 0.4335 data_time: 0.0148 memory: 17087 grad_norm: 6.9008 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9175 loss: 0.9175 2022/08/05 07:10:04 - mmengine - INFO - Epoch(train) [199][1840/1879] lr: 1.0000e-04 eta: 12:53:00 time: 0.4323 data_time: 0.0165 memory: 17087 grad_norm: 7.1045 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9306 loss: 0.9306 2022/08/05 07:10:13 - mmengine - INFO - Epoch(train) [199][1860/1879] lr: 1.0000e-04 eta: 12:52:51 time: 0.4556 data_time: 0.0167 memory: 17087 grad_norm: 6.9685 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7179 loss: 0.7179 2022/08/05 07:10:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 07:10:21 - mmengine - INFO - Epoch(train) [199][1879/1879] lr: 1.0000e-04 eta: 12:52:51 time: 0.4144 data_time: 0.0152 memory: 17087 grad_norm: 7.1039 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8888 loss: 0.8888 2022/08/05 07:10:32 - mmengine - INFO - Epoch(train) [200][20/1879] lr: 1.0000e-04 eta: 12:52:33 time: 0.5622 data_time: 0.1097 memory: 17087 grad_norm: 6.8016 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7224 loss: 0.7224 2022/08/05 07:10:41 - mmengine - INFO - Epoch(train) [200][40/1879] lr: 1.0000e-04 eta: 12:52:24 time: 0.4424 data_time: 0.0166 memory: 17087 grad_norm: 6.9917 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7711 loss: 0.7711 2022/08/05 07:10:50 - mmengine - INFO - Epoch(train) [200][60/1879] lr: 1.0000e-04 eta: 12:52:15 time: 0.4346 data_time: 0.0188 memory: 17087 grad_norm: 6.8132 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7766 loss: 0.7766 2022/08/05 07:10:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 07:10:58 - mmengine - INFO - Epoch(train) [200][80/1879] lr: 1.0000e-04 eta: 12:52:07 time: 0.4307 data_time: 0.0172 memory: 17087 grad_norm: 6.7374 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8284 loss: 0.8284 2022/08/05 07:11:07 - mmengine - INFO - Epoch(train) [200][100/1879] lr: 1.0000e-04 eta: 12:51:58 time: 0.4303 data_time: 0.0159 memory: 17087 grad_norm: 7.0255 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8398 loss: 0.8398 2022/08/05 07:11:16 - mmengine - INFO - Epoch(train) [200][120/1879] lr: 1.0000e-04 eta: 12:51:49 time: 0.4321 data_time: 0.0183 memory: 17087 grad_norm: 7.0976 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8195 loss: 0.8195 2022/08/05 07:11:24 - mmengine - INFO - Epoch(train) [200][140/1879] lr: 1.0000e-04 eta: 12:51:41 time: 0.4346 data_time: 0.0140 memory: 17087 grad_norm: 7.1186 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8833 loss: 0.8833 2022/08/05 07:11:33 - mmengine - INFO - Epoch(train) [200][160/1879] lr: 1.0000e-04 eta: 12:51:32 time: 0.4491 data_time: 0.0184 memory: 17087 grad_norm: 7.0093 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8799 loss: 0.8799 2022/08/05 07:11:42 - mmengine - INFO - Epoch(train) [200][180/1879] lr: 1.0000e-04 eta: 12:51:24 time: 0.4345 data_time: 0.0154 memory: 17087 grad_norm: 6.8773 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8613 loss: 0.8613 2022/08/05 07:11:51 - mmengine - INFO - Epoch(train) [200][200/1879] lr: 1.0000e-04 eta: 12:51:15 time: 0.4538 data_time: 0.0177 memory: 17087 grad_norm: 6.8734 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8414 loss: 0.8414 2022/08/05 07:12:00 - mmengine - INFO - Epoch(train) [200][220/1879] lr: 1.0000e-04 eta: 12:51:06 time: 0.4285 data_time: 0.0142 memory: 17087 grad_norm: 7.1505 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8570 loss: 0.8570 2022/08/05 07:12:08 - mmengine - INFO - Epoch(train) [200][240/1879] lr: 1.0000e-04 eta: 12:50:58 time: 0.4336 data_time: 0.0169 memory: 17087 grad_norm: 6.9949 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8320 loss: 0.8320 2022/08/05 07:12:17 - mmengine - INFO - Epoch(train) [200][260/1879] lr: 1.0000e-04 eta: 12:50:49 time: 0.4309 data_time: 0.0160 memory: 17087 grad_norm: 6.7242 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9006 loss: 0.9006 2022/08/05 07:12:26 - mmengine - INFO - Epoch(train) [200][280/1879] lr: 1.0000e-04 eta: 12:50:40 time: 0.4309 data_time: 0.0168 memory: 17087 grad_norm: 6.9242 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8782 loss: 0.8782 2022/08/05 07:12:35 - mmengine - INFO - Epoch(train) [200][300/1879] lr: 1.0000e-04 eta: 12:50:32 time: 0.4435 data_time: 0.0139 memory: 17087 grad_norm: 6.6773 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8595 loss: 0.8595 2022/08/05 07:12:43 - mmengine - INFO - Epoch(train) [200][320/1879] lr: 1.0000e-04 eta: 12:50:23 time: 0.4354 data_time: 0.0203 memory: 17087 grad_norm: 6.9527 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8648 loss: 0.8648 2022/08/05 07:12:52 - mmengine - INFO - Epoch(train) [200][340/1879] lr: 1.0000e-04 eta: 12:50:14 time: 0.4366 data_time: 0.0185 memory: 17087 grad_norm: 6.8677 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8329 loss: 0.8329 2022/08/05 07:13:01 - mmengine - INFO - Epoch(train) [200][360/1879] lr: 1.0000e-04 eta: 12:50:06 time: 0.4319 data_time: 0.0162 memory: 17087 grad_norm: 6.9659 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9382 loss: 0.9382 2022/08/05 07:13:09 - mmengine - INFO - Epoch(train) [200][380/1879] lr: 1.0000e-04 eta: 12:49:57 time: 0.4362 data_time: 0.0155 memory: 17087 grad_norm: 7.0631 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9039 loss: 0.9039 2022/08/05 07:13:18 - mmengine - INFO - Epoch(train) [200][400/1879] lr: 1.0000e-04 eta: 12:49:49 time: 0.4310 data_time: 0.0175 memory: 17087 grad_norm: 6.8540 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7834 loss: 0.7834 2022/08/05 07:13:27 - mmengine - INFO - Epoch(train) [200][420/1879] lr: 1.0000e-04 eta: 12:49:40 time: 0.4289 data_time: 0.0148 memory: 17087 grad_norm: 7.0662 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8828 loss: 0.8828 2022/08/05 07:13:35 - mmengine - INFO - Epoch(train) [200][440/1879] lr: 1.0000e-04 eta: 12:49:31 time: 0.4336 data_time: 0.0198 memory: 17087 grad_norm: 6.7508 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8470 loss: 0.8470 2022/08/05 07:13:44 - mmengine - INFO - Epoch(train) [200][460/1879] lr: 1.0000e-04 eta: 12:49:23 time: 0.4325 data_time: 0.0131 memory: 17087 grad_norm: 6.8348 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6759 loss: 0.6759 2022/08/05 07:13:53 - mmengine - INFO - Epoch(train) [200][480/1879] lr: 1.0000e-04 eta: 12:49:14 time: 0.4402 data_time: 0.0174 memory: 17087 grad_norm: 7.0712 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8367 loss: 0.8367 2022/08/05 07:14:01 - mmengine - INFO - Epoch(train) [200][500/1879] lr: 1.0000e-04 eta: 12:49:05 time: 0.4303 data_time: 0.0128 memory: 17087 grad_norm: 6.7869 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8146 loss: 0.8146 2022/08/05 07:14:10 - mmengine - INFO - Epoch(train) [200][520/1879] lr: 1.0000e-04 eta: 12:48:57 time: 0.4325 data_time: 0.0184 memory: 17087 grad_norm: 6.8428 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6478 loss: 0.6478 2022/08/05 07:14:19 - mmengine - INFO - Epoch(train) [200][540/1879] lr: 1.0000e-04 eta: 12:48:48 time: 0.4304 data_time: 0.0161 memory: 17087 grad_norm: 6.9323 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9149 loss: 0.9149 2022/08/05 07:14:28 - mmengine - INFO - Epoch(train) [200][560/1879] lr: 1.0000e-04 eta: 12:48:39 time: 0.4380 data_time: 0.0164 memory: 17087 grad_norm: 7.0210 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8277 loss: 0.8277 2022/08/05 07:14:36 - mmengine - INFO - Epoch(train) [200][580/1879] lr: 1.0000e-04 eta: 12:48:31 time: 0.4373 data_time: 0.0146 memory: 17087 grad_norm: 6.8730 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8371 loss: 0.8371 2022/08/05 07:14:45 - mmengine - INFO - Epoch(train) [200][600/1879] lr: 1.0000e-04 eta: 12:48:22 time: 0.4449 data_time: 0.0164 memory: 17087 grad_norm: 6.5780 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7954 loss: 0.7954 2022/08/05 07:14:54 - mmengine - INFO - Epoch(train) [200][620/1879] lr: 1.0000e-04 eta: 12:48:13 time: 0.4373 data_time: 0.0201 memory: 17087 grad_norm: 7.1737 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8946 loss: 0.8946 2022/08/05 07:15:03 - mmengine - INFO - Epoch(train) [200][640/1879] lr: 1.0000e-04 eta: 12:48:05 time: 0.4334 data_time: 0.0176 memory: 17087 grad_norm: 6.8276 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9171 loss: 0.9171 2022/08/05 07:15:11 - mmengine - INFO - Epoch(train) [200][660/1879] lr: 1.0000e-04 eta: 12:47:56 time: 0.4358 data_time: 0.0127 memory: 17087 grad_norm: 6.6213 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9631 loss: 0.9631 2022/08/05 07:15:20 - mmengine - INFO - Epoch(train) [200][680/1879] lr: 1.0000e-04 eta: 12:47:47 time: 0.4317 data_time: 0.0162 memory: 17087 grad_norm: 6.9149 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7396 loss: 0.7396 2022/08/05 07:15:29 - mmengine - INFO - Epoch(train) [200][700/1879] lr: 1.0000e-04 eta: 12:47:39 time: 0.4288 data_time: 0.0133 memory: 17087 grad_norm: 6.7339 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9015 loss: 0.9015 2022/08/05 07:15:37 - mmengine - INFO - Epoch(train) [200][720/1879] lr: 1.0000e-04 eta: 12:47:30 time: 0.4359 data_time: 0.0178 memory: 17087 grad_norm: 7.1427 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7931 loss: 0.7931 2022/08/05 07:15:46 - mmengine - INFO - Epoch(train) [200][740/1879] lr: 1.0000e-04 eta: 12:47:21 time: 0.4299 data_time: 0.0130 memory: 17087 grad_norm: 6.7771 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9521 loss: 0.9521 2022/08/05 07:15:55 - mmengine - INFO - Epoch(train) [200][760/1879] lr: 1.0000e-04 eta: 12:47:13 time: 0.4324 data_time: 0.0175 memory: 17087 grad_norm: 7.0753 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7376 loss: 0.7376 2022/08/05 07:16:03 - mmengine - INFO - Epoch(train) [200][780/1879] lr: 1.0000e-04 eta: 12:47:04 time: 0.4389 data_time: 0.0148 memory: 17087 grad_norm: 7.1768 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7338 loss: 0.7338 2022/08/05 07:16:12 - mmengine - INFO - Epoch(train) [200][800/1879] lr: 1.0000e-04 eta: 12:46:56 time: 0.4323 data_time: 0.0162 memory: 17087 grad_norm: 6.8541 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8673 loss: 0.8673 2022/08/05 07:16:21 - mmengine - INFO - Epoch(train) [200][820/1879] lr: 1.0000e-04 eta: 12:46:47 time: 0.4563 data_time: 0.0156 memory: 17087 grad_norm: 6.8999 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7579 loss: 0.7579 2022/08/05 07:16:30 - mmengine - INFO - Epoch(train) [200][840/1879] lr: 1.0000e-04 eta: 12:46:38 time: 0.4307 data_time: 0.0169 memory: 17087 grad_norm: 6.9473 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7009 loss: 0.7009 2022/08/05 07:16:39 - mmengine - INFO - Epoch(train) [200][860/1879] lr: 1.0000e-04 eta: 12:46:30 time: 0.4301 data_time: 0.0139 memory: 17087 grad_norm: 6.7421 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9233 loss: 0.9233 2022/08/05 07:16:47 - mmengine - INFO - Epoch(train) [200][880/1879] lr: 1.0000e-04 eta: 12:46:21 time: 0.4391 data_time: 0.0174 memory: 17087 grad_norm: 6.7437 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7783 loss: 0.7783 2022/08/05 07:16:56 - mmengine - INFO - Epoch(train) [200][900/1879] lr: 1.0000e-04 eta: 12:46:12 time: 0.4289 data_time: 0.0154 memory: 17087 grad_norm: 6.7780 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8953 loss: 0.8953 2022/08/05 07:17:05 - mmengine - INFO - Epoch(train) [200][920/1879] lr: 1.0000e-04 eta: 12:46:04 time: 0.4390 data_time: 0.0182 memory: 17087 grad_norm: 6.8981 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0112 loss: 1.0112 2022/08/05 07:17:13 - mmengine - INFO - Epoch(train) [200][940/1879] lr: 1.0000e-04 eta: 12:45:55 time: 0.4285 data_time: 0.0145 memory: 17087 grad_norm: 6.8642 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7685 loss: 0.7685 2022/08/05 07:17:22 - mmengine - INFO - Epoch(train) [200][960/1879] lr: 1.0000e-04 eta: 12:45:47 time: 0.4552 data_time: 0.0167 memory: 17087 grad_norm: 6.6409 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7779 loss: 0.7779 2022/08/05 07:17:31 - mmengine - INFO - Epoch(train) [200][980/1879] lr: 1.0000e-04 eta: 12:45:38 time: 0.4303 data_time: 0.0145 memory: 17087 grad_norm: 6.8911 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8497 loss: 0.8497 2022/08/05 07:17:40 - mmengine - INFO - Epoch(train) [200][1000/1879] lr: 1.0000e-04 eta: 12:45:29 time: 0.4336 data_time: 0.0163 memory: 17087 grad_norm: 6.8480 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7242 loss: 0.7242 2022/08/05 07:17:48 - mmengine - INFO - Epoch(train) [200][1020/1879] lr: 1.0000e-04 eta: 12:45:21 time: 0.4305 data_time: 0.0159 memory: 17087 grad_norm: 6.9329 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6994 loss: 0.6994 2022/08/05 07:17:57 - mmengine - INFO - Epoch(train) [200][1040/1879] lr: 1.0000e-04 eta: 12:45:12 time: 0.4332 data_time: 0.0165 memory: 17087 grad_norm: 7.0212 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8440 loss: 0.8440 2022/08/05 07:18:06 - mmengine - INFO - Epoch(train) [200][1060/1879] lr: 1.0000e-04 eta: 12:45:03 time: 0.4317 data_time: 0.0131 memory: 17087 grad_norm: 7.1298 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9441 loss: 0.9441 2022/08/05 07:18:14 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 07:18:14 - mmengine - INFO - Epoch(train) [200][1080/1879] lr: 1.0000e-04 eta: 12:44:55 time: 0.4307 data_time: 0.0157 memory: 17087 grad_norm: 6.7268 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7127 loss: 0.7127 2022/08/05 07:18:23 - mmengine - INFO - Epoch(train) [200][1100/1879] lr: 1.0000e-04 eta: 12:44:46 time: 0.4353 data_time: 0.0150 memory: 17087 grad_norm: 7.0307 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8666 loss: 0.8666 2022/08/05 07:18:32 - mmengine - INFO - Epoch(train) [200][1120/1879] lr: 1.0000e-04 eta: 12:44:37 time: 0.4392 data_time: 0.0166 memory: 17087 grad_norm: 6.7804 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7657 loss: 0.7657 2022/08/05 07:18:41 - mmengine - INFO - Epoch(train) [200][1140/1879] lr: 1.0000e-04 eta: 12:44:29 time: 0.4626 data_time: 0.0173 memory: 17087 grad_norm: 6.7211 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8089 loss: 0.8089 2022/08/05 07:18:50 - mmengine - INFO - Epoch(train) [200][1160/1879] lr: 1.0000e-04 eta: 12:44:20 time: 0.4303 data_time: 0.0177 memory: 17087 grad_norm: 6.6027 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7779 loss: 0.7779 2022/08/05 07:18:59 - mmengine - INFO - Epoch(train) [200][1180/1879] lr: 1.0000e-04 eta: 12:44:11 time: 0.4330 data_time: 0.0182 memory: 17087 grad_norm: 7.0031 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8735 loss: 0.8735 2022/08/05 07:19:07 - mmengine - INFO - Epoch(train) [200][1200/1879] lr: 1.0000e-04 eta: 12:44:03 time: 0.4325 data_time: 0.0170 memory: 17087 grad_norm: 6.9981 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8159 loss: 0.8159 2022/08/05 07:19:16 - mmengine - INFO - Epoch(train) [200][1220/1879] lr: 1.0000e-04 eta: 12:43:54 time: 0.4522 data_time: 0.0169 memory: 17087 grad_norm: 7.0209 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8723 loss: 0.8723 2022/08/05 07:19:25 - mmengine - INFO - Epoch(train) [200][1240/1879] lr: 1.0000e-04 eta: 12:43:46 time: 0.4331 data_time: 0.0184 memory: 17087 grad_norm: 7.3048 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9059 loss: 0.9059 2022/08/05 07:19:34 - mmengine - INFO - Epoch(train) [200][1260/1879] lr: 1.0000e-04 eta: 12:43:37 time: 0.4480 data_time: 0.0150 memory: 17087 grad_norm: 7.0604 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8204 loss: 0.8204 2022/08/05 07:19:43 - mmengine - INFO - Epoch(train) [200][1280/1879] lr: 1.0000e-04 eta: 12:43:28 time: 0.4327 data_time: 0.0188 memory: 17087 grad_norm: 6.7930 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7950 loss: 0.7950 2022/08/05 07:19:51 - mmengine - INFO - Epoch(train) [200][1300/1879] lr: 1.0000e-04 eta: 12:43:20 time: 0.4293 data_time: 0.0140 memory: 17087 grad_norm: 6.8624 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0057 loss: 1.0057 2022/08/05 07:20:00 - mmengine - INFO - Epoch(train) [200][1320/1879] lr: 1.0000e-04 eta: 12:43:11 time: 0.4339 data_time: 0.0192 memory: 17087 grad_norm: 6.9632 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7506 loss: 0.7506 2022/08/05 07:20:09 - mmengine - INFO - Epoch(train) [200][1340/1879] lr: 1.0000e-04 eta: 12:43:02 time: 0.4348 data_time: 0.0130 memory: 17087 grad_norm: 6.8552 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9214 loss: 0.9214 2022/08/05 07:20:17 - mmengine - INFO - Epoch(train) [200][1360/1879] lr: 1.0000e-04 eta: 12:42:54 time: 0.4313 data_time: 0.0155 memory: 17087 grad_norm: 6.8850 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6190 loss: 0.6190 2022/08/05 07:20:26 - mmengine - INFO - Epoch(train) [200][1380/1879] lr: 1.0000e-04 eta: 12:42:45 time: 0.4540 data_time: 0.0165 memory: 17087 grad_norm: 6.9007 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7651 loss: 0.7651 2022/08/05 07:20:35 - mmengine - INFO - Epoch(train) [200][1400/1879] lr: 1.0000e-04 eta: 12:42:37 time: 0.4315 data_time: 0.0168 memory: 17087 grad_norm: 7.0670 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.7631 loss: 0.7631 2022/08/05 07:20:44 - mmengine - INFO - Epoch(train) [200][1420/1879] lr: 1.0000e-04 eta: 12:42:28 time: 0.4700 data_time: 0.0202 memory: 17087 grad_norm: 7.1955 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9250 loss: 0.9250 2022/08/05 07:20:53 - mmengine - INFO - Epoch(train) [200][1440/1879] lr: 1.0000e-04 eta: 12:42:19 time: 0.4306 data_time: 0.0163 memory: 17087 grad_norm: 7.2188 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0379 loss: 1.0379 2022/08/05 07:21:02 - mmengine - INFO - Epoch(train) [200][1460/1879] lr: 1.0000e-04 eta: 12:42:11 time: 0.4417 data_time: 0.0198 memory: 17087 grad_norm: 6.8907 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7624 loss: 0.7624 2022/08/05 07:21:11 - mmengine - INFO - Epoch(train) [200][1480/1879] lr: 1.0000e-04 eta: 12:42:02 time: 0.4296 data_time: 0.0165 memory: 17087 grad_norm: 6.7534 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6566 loss: 0.6566 2022/08/05 07:21:19 - mmengine - INFO - Epoch(train) [200][1500/1879] lr: 1.0000e-04 eta: 12:41:53 time: 0.4298 data_time: 0.0161 memory: 17087 grad_norm: 6.9109 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8150 loss: 0.8150 2022/08/05 07:21:28 - mmengine - INFO - Epoch(train) [200][1520/1879] lr: 1.0000e-04 eta: 12:41:45 time: 0.4320 data_time: 0.0172 memory: 17087 grad_norm: 6.7350 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7769 loss: 0.7769 2022/08/05 07:21:36 - mmengine - INFO - Epoch(train) [200][1540/1879] lr: 1.0000e-04 eta: 12:41:36 time: 0.4296 data_time: 0.0157 memory: 17087 grad_norm: 7.0513 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8411 loss: 0.8411 2022/08/05 07:21:45 - mmengine - INFO - Epoch(train) [200][1560/1879] lr: 1.0000e-04 eta: 12:41:28 time: 0.4504 data_time: 0.0175 memory: 17087 grad_norm: 6.9268 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8668 loss: 0.8668 2022/08/05 07:21:54 - mmengine - INFO - Epoch(train) [200][1580/1879] lr: 1.0000e-04 eta: 12:41:19 time: 0.4298 data_time: 0.0166 memory: 17087 grad_norm: 7.0007 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9285 loss: 0.9285 2022/08/05 07:22:03 - mmengine - INFO - Epoch(train) [200][1600/1879] lr: 1.0000e-04 eta: 12:41:10 time: 0.4320 data_time: 0.0168 memory: 17087 grad_norm: 6.8804 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8227 loss: 0.8227 2022/08/05 07:22:11 - mmengine - INFO - Epoch(train) [200][1620/1879] lr: 1.0000e-04 eta: 12:41:02 time: 0.4292 data_time: 0.0161 memory: 17087 grad_norm: 6.7525 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8117 loss: 0.8117 2022/08/05 07:22:20 - mmengine - INFO - Epoch(train) [200][1640/1879] lr: 1.0000e-04 eta: 12:40:53 time: 0.4374 data_time: 0.0163 memory: 17087 grad_norm: 6.6758 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7739 loss: 0.7739 2022/08/05 07:22:29 - mmengine - INFO - Epoch(train) [200][1660/1879] lr: 1.0000e-04 eta: 12:40:44 time: 0.4486 data_time: 0.0146 memory: 17087 grad_norm: 6.8512 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9191 loss: 0.9191 2022/08/05 07:22:38 - mmengine - INFO - Epoch(train) [200][1680/1879] lr: 1.0000e-04 eta: 12:40:36 time: 0.4315 data_time: 0.0160 memory: 17087 grad_norm: 6.7905 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8764 loss: 0.8764 2022/08/05 07:22:47 - mmengine - INFO - Epoch(train) [200][1700/1879] lr: 1.0000e-04 eta: 12:40:27 time: 0.4461 data_time: 0.0156 memory: 17087 grad_norm: 7.1060 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9367 loss: 0.9367 2022/08/05 07:22:55 - mmengine - INFO - Epoch(train) [200][1720/1879] lr: 1.0000e-04 eta: 12:40:18 time: 0.4381 data_time: 0.0195 memory: 17087 grad_norm: 7.1834 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9045 loss: 0.9045 2022/08/05 07:23:04 - mmengine - INFO - Epoch(train) [200][1740/1879] lr: 1.0000e-04 eta: 12:40:10 time: 0.4305 data_time: 0.0156 memory: 17087 grad_norm: 7.1426 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8087 loss: 0.8087 2022/08/05 07:23:13 - mmengine - INFO - Epoch(train) [200][1760/1879] lr: 1.0000e-04 eta: 12:40:01 time: 0.4324 data_time: 0.0171 memory: 17087 grad_norm: 6.8230 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7397 loss: 0.7397 2022/08/05 07:23:22 - mmengine - INFO - Epoch(train) [200][1780/1879] lr: 1.0000e-04 eta: 12:39:53 time: 0.4622 data_time: 0.0167 memory: 17087 grad_norm: 6.9279 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8167 loss: 0.8167 2022/08/05 07:23:31 - mmengine - INFO - Epoch(train) [200][1800/1879] lr: 1.0000e-04 eta: 12:39:44 time: 0.4290 data_time: 0.0156 memory: 17087 grad_norm: 6.8708 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9440 loss: 0.9440 2022/08/05 07:23:39 - mmengine - INFO - Epoch(train) [200][1820/1879] lr: 1.0000e-04 eta: 12:39:35 time: 0.4308 data_time: 0.0168 memory: 17087 grad_norm: 7.1169 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7394 loss: 0.7394 2022/08/05 07:23:48 - mmengine - INFO - Epoch(train) [200][1840/1879] lr: 1.0000e-04 eta: 12:39:27 time: 0.4514 data_time: 0.0178 memory: 17087 grad_norm: 6.9730 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8782 loss: 0.8782 2022/08/05 07:23:57 - mmengine - INFO - Epoch(train) [200][1860/1879] lr: 1.0000e-04 eta: 12:39:18 time: 0.4288 data_time: 0.0154 memory: 17087 grad_norm: 7.0892 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9577 loss: 0.9577 2022/08/05 07:24:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 07:24:05 - mmengine - INFO - Epoch(train) [200][1879/1879] lr: 1.0000e-04 eta: 12:39:18 time: 0.4140 data_time: 0.0168 memory: 17087 grad_norm: 7.0838 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.9597 loss: 0.9597 2022/08/05 07:24:05 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/08/05 07:24:16 - mmengine - INFO - Epoch(val) [200][20/155] eta: 0:00:52 time: 0.3906 data_time: 0.2226 memory: 2821 2022/08/05 07:24:22 - mmengine - INFO - Epoch(val) [200][40/155] eta: 0:00:30 time: 0.2623 data_time: 0.0789 memory: 2821 2022/08/05 07:24:27 - mmengine - INFO - Epoch(val) [200][60/155] eta: 0:00:27 time: 0.2881 data_time: 0.1231 memory: 2821 2022/08/05 07:24:33 - mmengine - INFO - Epoch(val) [200][80/155] eta: 0:00:19 time: 0.2595 data_time: 0.0942 memory: 2821 2022/08/05 07:24:39 - mmengine - INFO - Epoch(val) [200][100/155] eta: 0:00:18 time: 0.3319 data_time: 0.1632 memory: 2821 2022/08/05 07:24:44 - mmengine - INFO - Epoch(val) [200][120/155] eta: 0:00:08 time: 0.2535 data_time: 0.0878 memory: 2821 2022/08/05 07:24:50 - mmengine - INFO - Epoch(val) [200][140/155] eta: 0:00:04 time: 0.2877 data_time: 0.1279 memory: 2821 2022/08/05 07:24:55 - mmengine - INFO - Epoch(val) [200][155/155] acc/top1: 0.6978 acc/top5: 0.8818 acc/mean1: 0.6977 2022/08/05 07:25:06 - mmengine - INFO - Epoch(train) [201][20/1879] lr: 1.0000e-04 eta: 12:39:00 time: 0.5660 data_time: 0.1104 memory: 17087 grad_norm: 7.0179 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8720 loss: 0.8720 2022/08/05 07:25:16 - mmengine - INFO - Epoch(train) [201][40/1879] lr: 1.0000e-04 eta: 12:38:51 time: 0.4672 data_time: 0.0207 memory: 17087 grad_norm: 6.8302 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9180 loss: 0.9180 2022/08/05 07:25:24 - mmengine - INFO - Epoch(train) [201][60/1879] lr: 1.0000e-04 eta: 12:38:42 time: 0.4336 data_time: 0.0165 memory: 17087 grad_norm: 6.8077 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9391 loss: 0.9391 2022/08/05 07:25:34 - mmengine - INFO - Epoch(train) [201][80/1879] lr: 1.0000e-04 eta: 12:38:34 time: 0.4623 data_time: 0.0154 memory: 17087 grad_norm: 6.9905 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9350 loss: 0.9350 2022/08/05 07:25:42 - mmengine - INFO - Epoch(train) [201][100/1879] lr: 1.0000e-04 eta: 12:38:25 time: 0.4346 data_time: 0.0200 memory: 17087 grad_norm: 6.8570 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7890 loss: 0.7890 2022/08/05 07:25:51 - mmengine - INFO - Epoch(train) [201][120/1879] lr: 1.0000e-04 eta: 12:38:17 time: 0.4475 data_time: 0.0163 memory: 17087 grad_norm: 6.9092 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7365 loss: 0.7365 2022/08/05 07:26:00 - mmengine - INFO - Epoch(train) [201][140/1879] lr: 1.0000e-04 eta: 12:38:08 time: 0.4282 data_time: 0.0141 memory: 17087 grad_norm: 7.0054 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9300 loss: 0.9300 2022/08/05 07:26:09 - mmengine - INFO - Epoch(train) [201][160/1879] lr: 1.0000e-04 eta: 12:37:59 time: 0.4352 data_time: 0.0209 memory: 17087 grad_norm: 6.9052 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6940 loss: 0.6940 2022/08/05 07:26:18 - mmengine - INFO - Epoch(train) [201][180/1879] lr: 1.0000e-04 eta: 12:37:51 time: 0.4609 data_time: 0.0149 memory: 17087 grad_norm: 7.1258 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8918 loss: 0.8918 2022/08/05 07:26:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 07:26:26 - mmengine - INFO - Epoch(train) [201][200/1879] lr: 1.0000e-04 eta: 12:37:42 time: 0.4319 data_time: 0.0163 memory: 17087 grad_norm: 6.6305 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8441 loss: 0.8441 2022/08/05 07:26:36 - mmengine - INFO - Epoch(train) [201][220/1879] lr: 1.0000e-04 eta: 12:37:34 time: 0.4598 data_time: 0.0248 memory: 17087 grad_norm: 6.8803 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6709 loss: 0.6709 2022/08/05 07:26:44 - mmengine - INFO - Epoch(train) [201][240/1879] lr: 1.0000e-04 eta: 12:37:25 time: 0.4332 data_time: 0.0161 memory: 17087 grad_norm: 7.2151 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9527 loss: 0.9527 2022/08/05 07:26:53 - mmengine - INFO - Epoch(train) [201][260/1879] lr: 1.0000e-04 eta: 12:37:16 time: 0.4313 data_time: 0.0166 memory: 17087 grad_norm: 6.9327 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7731 loss: 0.7731 2022/08/05 07:27:02 - mmengine - INFO - Epoch(train) [201][280/1879] lr: 1.0000e-04 eta: 12:37:08 time: 0.4315 data_time: 0.0170 memory: 17087 grad_norm: 7.1135 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7676 loss: 0.7676 2022/08/05 07:27:10 - mmengine - INFO - Epoch(train) [201][300/1879] lr: 1.0000e-04 eta: 12:36:59 time: 0.4290 data_time: 0.0139 memory: 17087 grad_norm: 6.9693 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9263 loss: 0.9263 2022/08/05 07:27:19 - mmengine - INFO - Epoch(train) [201][320/1879] lr: 1.0000e-04 eta: 12:36:50 time: 0.4379 data_time: 0.0166 memory: 17087 grad_norm: 6.8929 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8445 loss: 0.8445 2022/08/05 07:27:28 - mmengine - INFO - Epoch(train) [201][340/1879] lr: 1.0000e-04 eta: 12:36:42 time: 0.4302 data_time: 0.0157 memory: 17087 grad_norm: 6.7681 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7951 loss: 0.7951 2022/08/05 07:27:36 - mmengine - INFO - Epoch(train) [201][360/1879] lr: 1.0000e-04 eta: 12:36:33 time: 0.4333 data_time: 0.0179 memory: 17087 grad_norm: 6.8509 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9489 loss: 0.9489 2022/08/05 07:27:45 - mmengine - INFO - Epoch(train) [201][380/1879] lr: 1.0000e-04 eta: 12:36:24 time: 0.4344 data_time: 0.0158 memory: 17087 grad_norm: 6.9870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6983 loss: 0.6983 2022/08/05 07:27:54 - mmengine - INFO - Epoch(train) [201][400/1879] lr: 1.0000e-04 eta: 12:36:16 time: 0.4417 data_time: 0.0174 memory: 17087 grad_norm: 7.1722 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8912 loss: 0.8912 2022/08/05 07:28:03 - mmengine - INFO - Epoch(train) [201][420/1879] lr: 1.0000e-04 eta: 12:36:07 time: 0.4293 data_time: 0.0144 memory: 17087 grad_norm: 7.0468 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7291 loss: 0.7291 2022/08/05 07:28:11 - mmengine - INFO - Epoch(train) [201][440/1879] lr: 1.0000e-04 eta: 12:35:59 time: 0.4446 data_time: 0.0225 memory: 17087 grad_norm: 6.6394 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8385 loss: 0.8385 2022/08/05 07:28:20 - mmengine - INFO - Epoch(train) [201][460/1879] lr: 1.0000e-04 eta: 12:35:50 time: 0.4291 data_time: 0.0146 memory: 17087 grad_norm: 7.1184 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9449 loss: 0.9449 2022/08/05 07:28:29 - mmengine - INFO - Epoch(train) [201][480/1879] lr: 1.0000e-04 eta: 12:35:41 time: 0.4366 data_time: 0.0159 memory: 17087 grad_norm: 6.9085 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9774 loss: 0.9774 2022/08/05 07:28:37 - mmengine - INFO - Epoch(train) [201][500/1879] lr: 1.0000e-04 eta: 12:35:33 time: 0.4350 data_time: 0.0169 memory: 17087 grad_norm: 7.0930 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8161 loss: 0.8161 2022/08/05 07:28:46 - mmengine - INFO - Epoch(train) [201][520/1879] lr: 1.0000e-04 eta: 12:35:24 time: 0.4300 data_time: 0.0169 memory: 17087 grad_norm: 6.6594 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7130 loss: 0.7130 2022/08/05 07:28:55 - mmengine - INFO - Epoch(train) [201][540/1879] lr: 1.0000e-04 eta: 12:35:15 time: 0.4430 data_time: 0.0183 memory: 17087 grad_norm: 6.8791 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7838 loss: 0.7838 2022/08/05 07:29:04 - mmengine - INFO - Epoch(train) [201][560/1879] lr: 1.0000e-04 eta: 12:35:07 time: 0.4359 data_time: 0.0153 memory: 17087 grad_norm: 7.0683 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8222 loss: 0.8222 2022/08/05 07:29:12 - mmengine - INFO - Epoch(train) [201][580/1879] lr: 1.0000e-04 eta: 12:34:58 time: 0.4355 data_time: 0.0171 memory: 17087 grad_norm: 6.8842 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8870 loss: 0.8870 2022/08/05 07:29:21 - mmengine - INFO - Epoch(train) [201][600/1879] lr: 1.0000e-04 eta: 12:34:49 time: 0.4325 data_time: 0.0160 memory: 17087 grad_norm: 6.8448 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8195 loss: 0.8195 2022/08/05 07:29:30 - mmengine - INFO - Epoch(train) [201][620/1879] lr: 1.0000e-04 eta: 12:34:41 time: 0.4296 data_time: 0.0147 memory: 17087 grad_norm: 6.9177 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7366 loss: 0.7366 2022/08/05 07:29:38 - mmengine - INFO - Epoch(train) [201][640/1879] lr: 1.0000e-04 eta: 12:34:32 time: 0.4368 data_time: 0.0174 memory: 17087 grad_norm: 6.7582 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9082 loss: 0.9082 2022/08/05 07:29:47 - mmengine - INFO - Epoch(train) [201][660/1879] lr: 1.0000e-04 eta: 12:34:23 time: 0.4300 data_time: 0.0137 memory: 17087 grad_norm: 6.7591 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8299 loss: 0.8299 2022/08/05 07:29:56 - mmengine - INFO - Epoch(train) [201][680/1879] lr: 1.0000e-04 eta: 12:34:15 time: 0.4678 data_time: 0.0180 memory: 17087 grad_norm: 7.0463 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6916 loss: 0.6916 2022/08/05 07:30:05 - mmengine - INFO - Epoch(train) [201][700/1879] lr: 1.0000e-04 eta: 12:34:06 time: 0.4315 data_time: 0.0161 memory: 17087 grad_norm: 6.9710 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8430 loss: 0.8430 2022/08/05 07:30:14 - mmengine - INFO - Epoch(train) [201][720/1879] lr: 1.0000e-04 eta: 12:33:58 time: 0.4552 data_time: 0.0170 memory: 17087 grad_norm: 6.8176 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8766 loss: 0.8766 2022/08/05 07:30:23 - mmengine - INFO - Epoch(train) [201][740/1879] lr: 1.0000e-04 eta: 12:33:49 time: 0.4349 data_time: 0.0154 memory: 17087 grad_norm: 7.0950 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7577 loss: 0.7577 2022/08/05 07:30:32 - mmengine - INFO - Epoch(train) [201][760/1879] lr: 1.0000e-04 eta: 12:33:41 time: 0.4421 data_time: 0.0175 memory: 17087 grad_norm: 6.9631 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8912 loss: 0.8912 2022/08/05 07:30:40 - mmengine - INFO - Epoch(train) [201][780/1879] lr: 1.0000e-04 eta: 12:33:32 time: 0.4293 data_time: 0.0146 memory: 17087 grad_norm: 7.0285 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7179 loss: 0.7179 2022/08/05 07:30:49 - mmengine - INFO - Epoch(train) [201][800/1879] lr: 1.0000e-04 eta: 12:33:23 time: 0.4380 data_time: 0.0177 memory: 17087 grad_norm: 6.7022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7533 loss: 0.7533 2022/08/05 07:30:58 - mmengine - INFO - Epoch(train) [201][820/1879] lr: 1.0000e-04 eta: 12:33:15 time: 0.4358 data_time: 0.0183 memory: 17087 grad_norm: 6.8028 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8018 loss: 0.8018 2022/08/05 07:31:07 - mmengine - INFO - Epoch(train) [201][840/1879] lr: 1.0000e-04 eta: 12:33:06 time: 0.4304 data_time: 0.0167 memory: 17087 grad_norm: 6.9513 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8634 loss: 0.8634 2022/08/05 07:31:16 - mmengine - INFO - Epoch(train) [201][860/1879] lr: 1.0000e-04 eta: 12:32:57 time: 0.4536 data_time: 0.0183 memory: 17087 grad_norm: 7.2335 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8861 loss: 0.8861 2022/08/05 07:31:24 - mmengine - INFO - Epoch(train) [201][880/1879] lr: 1.0000e-04 eta: 12:32:49 time: 0.4310 data_time: 0.0164 memory: 17087 grad_norm: 7.1754 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7184 loss: 0.7184 2022/08/05 07:31:34 - mmengine - INFO - Epoch(train) [201][900/1879] lr: 1.0000e-04 eta: 12:32:40 time: 0.4750 data_time: 0.0212 memory: 17087 grad_norm: 6.7408 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7531 loss: 0.7531 2022/08/05 07:31:43 - mmengine - INFO - Epoch(train) [201][920/1879] lr: 1.0000e-04 eta: 12:32:32 time: 0.4358 data_time: 0.0198 memory: 17087 grad_norm: 7.1397 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8681 loss: 0.8681 2022/08/05 07:31:52 - mmengine - INFO - Epoch(train) [201][940/1879] lr: 1.0000e-04 eta: 12:32:23 time: 0.4498 data_time: 0.0151 memory: 17087 grad_norm: 6.7056 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8392 loss: 0.8392 2022/08/05 07:32:00 - mmengine - INFO - Epoch(train) [201][960/1879] lr: 1.0000e-04 eta: 12:32:14 time: 0.4295 data_time: 0.0176 memory: 17087 grad_norm: 6.9220 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9262 loss: 0.9262 2022/08/05 07:32:09 - mmengine - INFO - Epoch(train) [201][980/1879] lr: 1.0000e-04 eta: 12:32:06 time: 0.4298 data_time: 0.0146 memory: 17087 grad_norm: 6.6083 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8063 loss: 0.8063 2022/08/05 07:32:18 - mmengine - INFO - Epoch(train) [201][1000/1879] lr: 1.0000e-04 eta: 12:31:57 time: 0.4370 data_time: 0.0215 memory: 17087 grad_norm: 6.8727 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7842 loss: 0.7842 2022/08/05 07:32:26 - mmengine - INFO - Epoch(train) [201][1020/1879] lr: 1.0000e-04 eta: 12:31:48 time: 0.4308 data_time: 0.0153 memory: 17087 grad_norm: 6.9289 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7261 loss: 0.7261 2022/08/05 07:32:35 - mmengine - INFO - Epoch(train) [201][1040/1879] lr: 1.0000e-04 eta: 12:31:40 time: 0.4399 data_time: 0.0174 memory: 17087 grad_norm: 6.9080 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9342 loss: 0.9342 2022/08/05 07:32:44 - mmengine - INFO - Epoch(train) [201][1060/1879] lr: 1.0000e-04 eta: 12:31:31 time: 0.4280 data_time: 0.0145 memory: 17087 grad_norm: 6.8024 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0167 loss: 1.0167 2022/08/05 07:32:52 - mmengine - INFO - Epoch(train) [201][1080/1879] lr: 1.0000e-04 eta: 12:31:22 time: 0.4335 data_time: 0.0184 memory: 17087 grad_norm: 6.7669 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8029 loss: 0.8029 2022/08/05 07:33:01 - mmengine - INFO - Epoch(train) [201][1100/1879] lr: 1.0000e-04 eta: 12:31:14 time: 0.4298 data_time: 0.0164 memory: 17087 grad_norm: 6.8860 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8907 loss: 0.8907 2022/08/05 07:33:10 - mmengine - INFO - Epoch(train) [201][1120/1879] lr: 1.0000e-04 eta: 12:31:05 time: 0.4316 data_time: 0.0172 memory: 17087 grad_norm: 6.9130 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8518 loss: 0.8518 2022/08/05 07:33:18 - mmengine - INFO - Epoch(train) [201][1140/1879] lr: 1.0000e-04 eta: 12:30:56 time: 0.4388 data_time: 0.0149 memory: 17087 grad_norm: 6.8063 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1124 loss: 1.1124 2022/08/05 07:33:27 - mmengine - INFO - Epoch(train) [201][1160/1879] lr: 1.0000e-04 eta: 12:30:48 time: 0.4357 data_time: 0.0169 memory: 17087 grad_norm: 6.7268 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8132 loss: 0.8132 2022/08/05 07:33:36 - mmengine - INFO - Epoch(train) [201][1180/1879] lr: 1.0000e-04 eta: 12:30:39 time: 0.4330 data_time: 0.0148 memory: 17087 grad_norm: 6.8918 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7374 loss: 0.7374 2022/08/05 07:33:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 07:33:45 - mmengine - INFO - Epoch(train) [201][1200/1879] lr: 1.0000e-04 eta: 12:30:31 time: 0.4381 data_time: 0.0170 memory: 17087 grad_norm: 6.9996 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7705 loss: 0.7705 2022/08/05 07:33:53 - mmengine - INFO - Epoch(train) [201][1220/1879] lr: 1.0000e-04 eta: 12:30:22 time: 0.4296 data_time: 0.0152 memory: 17087 grad_norm: 6.9068 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9765 loss: 0.9765 2022/08/05 07:34:02 - mmengine - INFO - Epoch(train) [201][1240/1879] lr: 1.0000e-04 eta: 12:30:13 time: 0.4461 data_time: 0.0191 memory: 17087 grad_norm: 6.8606 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7724 loss: 0.7724 2022/08/05 07:34:11 - mmengine - INFO - Epoch(train) [201][1260/1879] lr: 1.0000e-04 eta: 12:30:05 time: 0.4286 data_time: 0.0146 memory: 17087 grad_norm: 7.0104 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8461 loss: 0.8461 2022/08/05 07:34:19 - mmengine - INFO - Epoch(train) [201][1280/1879] lr: 1.0000e-04 eta: 12:29:56 time: 0.4308 data_time: 0.0156 memory: 17087 grad_norm: 6.8665 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7028 loss: 0.7028 2022/08/05 07:34:28 - mmengine - INFO - Epoch(train) [201][1300/1879] lr: 1.0000e-04 eta: 12:29:47 time: 0.4386 data_time: 0.0159 memory: 17087 grad_norm: 6.7808 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7284 loss: 0.7284 2022/08/05 07:34:37 - mmengine - INFO - Epoch(train) [201][1320/1879] lr: 1.0000e-04 eta: 12:29:39 time: 0.4315 data_time: 0.0164 memory: 17087 grad_norm: 7.1743 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9727 loss: 0.9727 2022/08/05 07:34:45 - mmengine - INFO - Epoch(train) [201][1340/1879] lr: 1.0000e-04 eta: 12:29:30 time: 0.4315 data_time: 0.0162 memory: 17087 grad_norm: 7.1273 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7241 loss: 0.7241 2022/08/05 07:34:54 - mmengine - INFO - Epoch(train) [201][1360/1879] lr: 1.0000e-04 eta: 12:29:21 time: 0.4317 data_time: 0.0164 memory: 17087 grad_norm: 6.9620 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7978 loss: 0.7978 2022/08/05 07:35:03 - mmengine - INFO - Epoch(train) [201][1380/1879] lr: 1.0000e-04 eta: 12:29:13 time: 0.4471 data_time: 0.0150 memory: 17087 grad_norm: 7.1935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0146 loss: 1.0146 2022/08/05 07:35:12 - mmengine - INFO - Epoch(train) [201][1400/1879] lr: 1.0000e-04 eta: 12:29:04 time: 0.4413 data_time: 0.0170 memory: 17087 grad_norm: 7.1647 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8993 loss: 0.8993 2022/08/05 07:35:21 - mmengine - INFO - Epoch(train) [201][1420/1879] lr: 1.0000e-04 eta: 12:28:55 time: 0.4291 data_time: 0.0144 memory: 17087 grad_norm: 6.9601 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7490 loss: 0.7490 2022/08/05 07:35:29 - mmengine - INFO - Epoch(train) [201][1440/1879] lr: 1.0000e-04 eta: 12:28:47 time: 0.4350 data_time: 0.0173 memory: 17087 grad_norm: 7.0888 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8523 loss: 0.8523 2022/08/05 07:35:38 - mmengine - INFO - Epoch(train) [201][1460/1879] lr: 1.0000e-04 eta: 12:28:38 time: 0.4283 data_time: 0.0145 memory: 17087 grad_norm: 6.7264 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9596 loss: 0.9596 2022/08/05 07:35:47 - mmengine - INFO - Epoch(train) [201][1480/1879] lr: 1.0000e-04 eta: 12:28:30 time: 0.4504 data_time: 0.0172 memory: 17087 grad_norm: 6.8852 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8663 loss: 0.8663 2022/08/05 07:35:55 - mmengine - INFO - Epoch(train) [201][1500/1879] lr: 1.0000e-04 eta: 12:28:21 time: 0.4290 data_time: 0.0155 memory: 17087 grad_norm: 7.0368 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8156 loss: 0.8156 2022/08/05 07:36:04 - mmengine - INFO - Epoch(train) [201][1520/1879] lr: 1.0000e-04 eta: 12:28:12 time: 0.4340 data_time: 0.0154 memory: 17087 grad_norm: 6.7987 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8307 loss: 0.8307 2022/08/05 07:36:13 - mmengine - INFO - Epoch(train) [201][1540/1879] lr: 1.0000e-04 eta: 12:28:04 time: 0.4297 data_time: 0.0157 memory: 17087 grad_norm: 7.0049 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7419 loss: 0.7419 2022/08/05 07:36:22 - mmengine - INFO - Epoch(train) [201][1560/1879] lr: 1.0000e-04 eta: 12:27:55 time: 0.4361 data_time: 0.0159 memory: 17087 grad_norm: 7.0629 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7869 loss: 0.7869 2022/08/05 07:36:30 - mmengine - INFO - Epoch(train) [201][1580/1879] lr: 1.0000e-04 eta: 12:27:46 time: 0.4468 data_time: 0.0145 memory: 17087 grad_norm: 6.8986 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6904 loss: 0.6904 2022/08/05 07:36:39 - mmengine - INFO - Epoch(train) [201][1600/1879] lr: 1.0000e-04 eta: 12:27:38 time: 0.4297 data_time: 0.0153 memory: 17087 grad_norm: 6.7006 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8403 loss: 0.8403 2022/08/05 07:36:48 - mmengine - INFO - Epoch(train) [201][1620/1879] lr: 1.0000e-04 eta: 12:27:29 time: 0.4563 data_time: 0.0156 memory: 17087 grad_norm: 6.8999 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8161 loss: 0.8161 2022/08/05 07:36:57 - mmengine - INFO - Epoch(train) [201][1640/1879] lr: 1.0000e-04 eta: 12:27:20 time: 0.4313 data_time: 0.0171 memory: 17087 grad_norm: 7.0503 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9267 loss: 0.9267 2022/08/05 07:37:06 - mmengine - INFO - Epoch(train) [201][1660/1879] lr: 1.0000e-04 eta: 12:27:12 time: 0.4502 data_time: 0.0155 memory: 17087 grad_norm: 7.1385 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7639 loss: 0.7639 2022/08/05 07:37:15 - mmengine - INFO - Epoch(train) [201][1680/1879] lr: 1.0000e-04 eta: 12:27:03 time: 0.4343 data_time: 0.0164 memory: 17087 grad_norm: 6.7334 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7852 loss: 0.7852 2022/08/05 07:37:24 - mmengine - INFO - Epoch(train) [201][1700/1879] lr: 1.0000e-04 eta: 12:26:55 time: 0.4484 data_time: 0.0163 memory: 17087 grad_norm: 7.2541 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9907 loss: 0.9907 2022/08/05 07:37:32 - mmengine - INFO - Epoch(train) [201][1720/1879] lr: 1.0000e-04 eta: 12:26:46 time: 0.4368 data_time: 0.0179 memory: 17087 grad_norm: 7.0886 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8261 loss: 0.8261 2022/08/05 07:37:41 - mmengine - INFO - Epoch(train) [201][1740/1879] lr: 1.0000e-04 eta: 12:26:37 time: 0.4287 data_time: 0.0152 memory: 17087 grad_norm: 6.8610 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7419 loss: 0.7419 2022/08/05 07:37:50 - mmengine - INFO - Epoch(train) [201][1760/1879] lr: 1.0000e-04 eta: 12:26:29 time: 0.4349 data_time: 0.0163 memory: 17087 grad_norm: 7.0796 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8335 loss: 0.8335 2022/08/05 07:37:58 - mmengine - INFO - Epoch(train) [201][1780/1879] lr: 1.0000e-04 eta: 12:26:20 time: 0.4342 data_time: 0.0165 memory: 17087 grad_norm: 6.9496 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8091 loss: 0.8091 2022/08/05 07:38:07 - mmengine - INFO - Epoch(train) [201][1800/1879] lr: 1.0000e-04 eta: 12:26:11 time: 0.4303 data_time: 0.0165 memory: 17087 grad_norm: 6.7619 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7635 loss: 0.7635 2022/08/05 07:38:16 - mmengine - INFO - Epoch(train) [201][1820/1879] lr: 1.0000e-04 eta: 12:26:03 time: 0.4377 data_time: 0.0158 memory: 17087 grad_norm: 6.8649 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7942 loss: 0.7942 2022/08/05 07:38:24 - mmengine - INFO - Epoch(train) [201][1840/1879] lr: 1.0000e-04 eta: 12:25:54 time: 0.4323 data_time: 0.0165 memory: 17087 grad_norm: 6.9614 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8341 loss: 0.8341 2022/08/05 07:38:33 - mmengine - INFO - Epoch(train) [201][1860/1879] lr: 1.0000e-04 eta: 12:25:45 time: 0.4354 data_time: 0.0162 memory: 17087 grad_norm: 6.9958 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7622 loss: 0.7622 2022/08/05 07:38:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 07:38:41 - mmengine - INFO - Epoch(train) [201][1879/1879] lr: 1.0000e-04 eta: 12:25:45 time: 0.4121 data_time: 0.0151 memory: 17087 grad_norm: 7.2146 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7654 loss: 0.7654 2022/08/05 07:38:52 - mmengine - INFO - Epoch(train) [202][20/1879] lr: 1.0000e-04 eta: 12:25:27 time: 0.5573 data_time: 0.1303 memory: 17087 grad_norm: 6.8835 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0604 loss: 1.0604 2022/08/05 07:39:01 - mmengine - INFO - Epoch(train) [202][40/1879] lr: 1.0000e-04 eta: 12:25:18 time: 0.4322 data_time: 0.0168 memory: 17087 grad_norm: 7.0919 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7207 loss: 0.7207 2022/08/05 07:39:10 - mmengine - INFO - Epoch(train) [202][60/1879] lr: 1.0000e-04 eta: 12:25:10 time: 0.4356 data_time: 0.0166 memory: 17087 grad_norm: 7.1619 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8513 loss: 0.8513 2022/08/05 07:39:18 - mmengine - INFO - Epoch(train) [202][80/1879] lr: 1.0000e-04 eta: 12:25:01 time: 0.4302 data_time: 0.0153 memory: 17087 grad_norm: 6.9192 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8791 loss: 0.8791 2022/08/05 07:39:27 - mmengine - INFO - Epoch(train) [202][100/1879] lr: 1.0000e-04 eta: 12:24:52 time: 0.4335 data_time: 0.0157 memory: 17087 grad_norm: 7.3301 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8739 loss: 0.8739 2022/08/05 07:39:36 - mmengine - INFO - Epoch(train) [202][120/1879] lr: 1.0000e-04 eta: 12:24:44 time: 0.4534 data_time: 0.0173 memory: 17087 grad_norm: 6.8874 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8348 loss: 0.8348 2022/08/05 07:39:45 - mmengine - INFO - Epoch(train) [202][140/1879] lr: 1.0000e-04 eta: 12:24:35 time: 0.4300 data_time: 0.0133 memory: 17087 grad_norm: 6.8190 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7665 loss: 0.7665 2022/08/05 07:39:54 - mmengine - INFO - Epoch(train) [202][160/1879] lr: 1.0000e-04 eta: 12:24:27 time: 0.4632 data_time: 0.0226 memory: 17087 grad_norm: 6.9541 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8336 loss: 0.8336 2022/08/05 07:40:03 - mmengine - INFO - Epoch(train) [202][180/1879] lr: 1.0000e-04 eta: 12:24:18 time: 0.4375 data_time: 0.0151 memory: 17087 grad_norm: 7.0050 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7348 loss: 0.7348 2022/08/05 07:40:11 - mmengine - INFO - Epoch(train) [202][200/1879] lr: 1.0000e-04 eta: 12:24:09 time: 0.4327 data_time: 0.0158 memory: 17087 grad_norm: 7.1614 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9186 loss: 0.9186 2022/08/05 07:40:20 - mmengine - INFO - Epoch(train) [202][220/1879] lr: 1.0000e-04 eta: 12:24:01 time: 0.4290 data_time: 0.0162 memory: 17087 grad_norm: 7.0775 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8018 loss: 0.8018 2022/08/05 07:40:29 - mmengine - INFO - Epoch(train) [202][240/1879] lr: 1.0000e-04 eta: 12:23:52 time: 0.4408 data_time: 0.0177 memory: 17087 grad_norm: 6.7054 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7941 loss: 0.7941 2022/08/05 07:40:37 - mmengine - INFO - Epoch(train) [202][260/1879] lr: 1.0000e-04 eta: 12:23:43 time: 0.4311 data_time: 0.0144 memory: 17087 grad_norm: 6.6583 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8623 loss: 0.8623 2022/08/05 07:40:46 - mmengine - INFO - Epoch(train) [202][280/1879] lr: 1.0000e-04 eta: 12:23:35 time: 0.4441 data_time: 0.0166 memory: 17087 grad_norm: 7.0643 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7717 loss: 0.7717 2022/08/05 07:40:55 - mmengine - INFO - Epoch(train) [202][300/1879] lr: 1.0000e-04 eta: 12:23:26 time: 0.4314 data_time: 0.0159 memory: 17087 grad_norm: 6.9407 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8741 loss: 0.8741 2022/08/05 07:41:04 - mmengine - INFO - Epoch(train) [202][320/1879] lr: 1.0000e-04 eta: 12:23:17 time: 0.4342 data_time: 0.0173 memory: 17087 grad_norm: 6.9455 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9111 loss: 0.9111 2022/08/05 07:41:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 07:41:12 - mmengine - INFO - Epoch(train) [202][340/1879] lr: 1.0000e-04 eta: 12:23:09 time: 0.4293 data_time: 0.0150 memory: 17087 grad_norm: 7.0879 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7966 loss: 0.7966 2022/08/05 07:41:21 - mmengine - INFO - Epoch(train) [202][360/1879] lr: 1.0000e-04 eta: 12:23:00 time: 0.4321 data_time: 0.0167 memory: 17087 grad_norm: 6.7408 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9509 loss: 0.9509 2022/08/05 07:41:30 - mmengine - INFO - Epoch(train) [202][380/1879] lr: 1.0000e-04 eta: 12:22:52 time: 0.4527 data_time: 0.0152 memory: 17087 grad_norm: 7.3200 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8896 loss: 0.8896 2022/08/05 07:41:39 - mmengine - INFO - Epoch(train) [202][400/1879] lr: 1.0000e-04 eta: 12:22:43 time: 0.4299 data_time: 0.0196 memory: 17087 grad_norm: 6.7791 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7617 loss: 0.7617 2022/08/05 07:41:48 - mmengine - INFO - Epoch(train) [202][420/1879] lr: 1.0000e-04 eta: 12:22:34 time: 0.4475 data_time: 0.0152 memory: 17087 grad_norm: 6.9558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7956 loss: 0.7956 2022/08/05 07:41:56 - mmengine - INFO - Epoch(train) [202][440/1879] lr: 1.0000e-04 eta: 12:22:26 time: 0.4340 data_time: 0.0161 memory: 17087 grad_norm: 7.0005 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7600 loss: 0.7600 2022/08/05 07:42:05 - mmengine - INFO - Epoch(train) [202][460/1879] lr: 1.0000e-04 eta: 12:22:17 time: 0.4477 data_time: 0.0158 memory: 17087 grad_norm: 6.8650 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8706 loss: 0.8706 2022/08/05 07:42:14 - mmengine - INFO - Epoch(train) [202][480/1879] lr: 1.0000e-04 eta: 12:22:08 time: 0.4315 data_time: 0.0162 memory: 17087 grad_norm: 7.2095 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8457 loss: 0.8457 2022/08/05 07:42:23 - mmengine - INFO - Epoch(train) [202][500/1879] lr: 1.0000e-04 eta: 12:22:00 time: 0.4420 data_time: 0.0160 memory: 17087 grad_norm: 6.9541 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8625 loss: 0.8625 2022/08/05 07:42:32 - mmengine - INFO - Epoch(train) [202][520/1879] lr: 1.0000e-04 eta: 12:21:51 time: 0.4312 data_time: 0.0170 memory: 17087 grad_norm: 6.9347 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7457 loss: 0.7457 2022/08/05 07:42:40 - mmengine - INFO - Epoch(train) [202][540/1879] lr: 1.0000e-04 eta: 12:21:43 time: 0.4338 data_time: 0.0147 memory: 17087 grad_norm: 7.0061 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8679 loss: 0.8679 2022/08/05 07:42:49 - mmengine - INFO - Epoch(train) [202][560/1879] lr: 1.0000e-04 eta: 12:21:34 time: 0.4513 data_time: 0.0178 memory: 17087 grad_norm: 6.5565 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7686 loss: 0.7686 2022/08/05 07:42:58 - mmengine - INFO - Epoch(train) [202][580/1879] lr: 1.0000e-04 eta: 12:21:25 time: 0.4330 data_time: 0.0140 memory: 17087 grad_norm: 6.7588 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8085 loss: 0.8085 2022/08/05 07:43:07 - mmengine - INFO - Epoch(train) [202][600/1879] lr: 1.0000e-04 eta: 12:21:17 time: 0.4495 data_time: 0.0163 memory: 17087 grad_norm: 6.7390 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8060 loss: 0.8060 2022/08/05 07:43:16 - mmengine - INFO - Epoch(train) [202][620/1879] lr: 1.0000e-04 eta: 12:21:08 time: 0.4294 data_time: 0.0152 memory: 17087 grad_norm: 6.8799 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8617 loss: 0.8617 2022/08/05 07:43:25 - mmengine - INFO - Epoch(train) [202][640/1879] lr: 1.0000e-04 eta: 12:21:00 time: 0.4548 data_time: 0.0176 memory: 17087 grad_norm: 6.9369 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8670 loss: 0.8670 2022/08/05 07:43:33 - mmengine - INFO - Epoch(train) [202][660/1879] lr: 1.0000e-04 eta: 12:20:51 time: 0.4288 data_time: 0.0148 memory: 17087 grad_norm: 6.8171 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8799 loss: 0.8799 2022/08/05 07:43:42 - mmengine - INFO - Epoch(train) [202][680/1879] lr: 1.0000e-04 eta: 12:20:42 time: 0.4311 data_time: 0.0164 memory: 17087 grad_norm: 7.0826 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8416 loss: 0.8416 2022/08/05 07:43:51 - mmengine - INFO - Epoch(train) [202][700/1879] lr: 1.0000e-04 eta: 12:20:34 time: 0.4323 data_time: 0.0161 memory: 17087 grad_norm: 7.1837 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7547 loss: 0.7547 2022/08/05 07:43:59 - mmengine - INFO - Epoch(train) [202][720/1879] lr: 1.0000e-04 eta: 12:20:25 time: 0.4311 data_time: 0.0162 memory: 17087 grad_norm: 7.0179 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9057 loss: 0.9057 2022/08/05 07:44:08 - mmengine - INFO - Epoch(train) [202][740/1879] lr: 1.0000e-04 eta: 12:20:16 time: 0.4342 data_time: 0.0153 memory: 17087 grad_norm: 6.9177 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7842 loss: 0.7842 2022/08/05 07:44:17 - mmengine - INFO - Epoch(train) [202][760/1879] lr: 1.0000e-04 eta: 12:20:08 time: 0.4325 data_time: 0.0170 memory: 17087 grad_norm: 7.1663 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8603 loss: 0.8603 2022/08/05 07:44:25 - mmengine - INFO - Epoch(train) [202][780/1879] lr: 1.0000e-04 eta: 12:19:59 time: 0.4335 data_time: 0.0141 memory: 17087 grad_norm: 6.8599 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7898 loss: 0.7898 2022/08/05 07:44:34 - mmengine - INFO - Epoch(train) [202][800/1879] lr: 1.0000e-04 eta: 12:19:50 time: 0.4306 data_time: 0.0172 memory: 17087 grad_norm: 6.8017 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7694 loss: 0.7694 2022/08/05 07:44:43 - mmengine - INFO - Epoch(train) [202][820/1879] lr: 1.0000e-04 eta: 12:19:42 time: 0.4337 data_time: 0.0126 memory: 17087 grad_norm: 6.9917 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8381 loss: 0.8381 2022/08/05 07:44:51 - mmengine - INFO - Epoch(train) [202][840/1879] lr: 1.0000e-04 eta: 12:19:33 time: 0.4321 data_time: 0.0160 memory: 17087 grad_norm: 6.7351 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9361 loss: 0.9361 2022/08/05 07:45:00 - mmengine - INFO - Epoch(train) [202][860/1879] lr: 1.0000e-04 eta: 12:19:24 time: 0.4283 data_time: 0.0153 memory: 17087 grad_norm: 7.1559 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0688 loss: 1.0688 2022/08/05 07:45:09 - mmengine - INFO - Epoch(train) [202][880/1879] lr: 1.0000e-04 eta: 12:19:16 time: 0.4466 data_time: 0.0160 memory: 17087 grad_norm: 6.9678 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8205 loss: 0.8205 2022/08/05 07:45:17 - mmengine - INFO - Epoch(train) [202][900/1879] lr: 1.0000e-04 eta: 12:19:07 time: 0.4306 data_time: 0.0156 memory: 17087 grad_norm: 6.9434 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7952 loss: 0.7952 2022/08/05 07:45:26 - mmengine - INFO - Epoch(train) [202][920/1879] lr: 1.0000e-04 eta: 12:18:58 time: 0.4377 data_time: 0.0172 memory: 17087 grad_norm: 6.9706 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8714 loss: 0.8714 2022/08/05 07:45:35 - mmengine - INFO - Epoch(train) [202][940/1879] lr: 1.0000e-04 eta: 12:18:50 time: 0.4303 data_time: 0.0154 memory: 17087 grad_norm: 7.2008 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0103 loss: 1.0103 2022/08/05 07:45:44 - mmengine - INFO - Epoch(train) [202][960/1879] lr: 1.0000e-04 eta: 12:18:41 time: 0.4574 data_time: 0.0164 memory: 17087 grad_norm: 6.8241 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8839 loss: 0.8839 2022/08/05 07:45:53 - mmengine - INFO - Epoch(train) [202][980/1879] lr: 1.0000e-04 eta: 12:18:32 time: 0.4330 data_time: 0.0167 memory: 17087 grad_norm: 7.0455 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9076 loss: 0.9076 2022/08/05 07:46:01 - mmengine - INFO - Epoch(train) [202][1000/1879] lr: 1.0000e-04 eta: 12:18:24 time: 0.4288 data_time: 0.0154 memory: 17087 grad_norm: 7.2229 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6440 loss: 0.6440 2022/08/05 07:46:10 - mmengine - INFO - Epoch(train) [202][1020/1879] lr: 1.0000e-04 eta: 12:18:15 time: 0.4318 data_time: 0.0148 memory: 17087 grad_norm: 6.8157 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8350 loss: 0.8350 2022/08/05 07:46:19 - mmengine - INFO - Epoch(train) [202][1040/1879] lr: 1.0000e-04 eta: 12:18:07 time: 0.4387 data_time: 0.0184 memory: 17087 grad_norm: 7.1130 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8712 loss: 0.8712 2022/08/05 07:46:27 - mmengine - INFO - Epoch(train) [202][1060/1879] lr: 1.0000e-04 eta: 12:17:58 time: 0.4314 data_time: 0.0144 memory: 17087 grad_norm: 6.9238 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8012 loss: 0.8012 2022/08/05 07:46:37 - mmengine - INFO - Epoch(train) [202][1080/1879] lr: 1.0000e-04 eta: 12:17:49 time: 0.4613 data_time: 0.0178 memory: 17087 grad_norm: 6.8404 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7698 loss: 0.7698 2022/08/05 07:46:45 - mmengine - INFO - Epoch(train) [202][1100/1879] lr: 1.0000e-04 eta: 12:17:41 time: 0.4336 data_time: 0.0197 memory: 17087 grad_norm: 7.1021 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9301 loss: 0.9301 2022/08/05 07:46:54 - mmengine - INFO - Epoch(train) [202][1120/1879] lr: 1.0000e-04 eta: 12:17:32 time: 0.4319 data_time: 0.0177 memory: 17087 grad_norm: 7.0370 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7539 loss: 0.7539 2022/08/05 07:47:03 - mmengine - INFO - Epoch(train) [202][1140/1879] lr: 1.0000e-04 eta: 12:17:23 time: 0.4338 data_time: 0.0133 memory: 17087 grad_norm: 6.8854 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0503 loss: 1.0503 2022/08/05 07:47:11 - mmengine - INFO - Epoch(train) [202][1160/1879] lr: 1.0000e-04 eta: 12:17:15 time: 0.4318 data_time: 0.0168 memory: 17087 grad_norm: 7.0893 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7463 loss: 0.7463 2022/08/05 07:47:20 - mmengine - INFO - Epoch(train) [202][1180/1879] lr: 1.0000e-04 eta: 12:17:06 time: 0.4465 data_time: 0.0156 memory: 17087 grad_norm: 6.8326 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7342 loss: 0.7342 2022/08/05 07:47:29 - mmengine - INFO - Epoch(train) [202][1200/1879] lr: 1.0000e-04 eta: 12:16:57 time: 0.4307 data_time: 0.0174 memory: 17087 grad_norm: 7.0328 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7338 loss: 0.7338 2022/08/05 07:47:38 - mmengine - INFO - Epoch(train) [202][1220/1879] lr: 1.0000e-04 eta: 12:16:49 time: 0.4402 data_time: 0.0153 memory: 17087 grad_norm: 7.0956 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.1348 loss: 1.1348 2022/08/05 07:47:46 - mmengine - INFO - Epoch(train) [202][1240/1879] lr: 1.0000e-04 eta: 12:16:40 time: 0.4313 data_time: 0.0162 memory: 17087 grad_norm: 7.0335 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7278 loss: 0.7278 2022/08/05 07:47:55 - mmengine - INFO - Epoch(train) [202][1260/1879] lr: 1.0000e-04 eta: 12:16:32 time: 0.4399 data_time: 0.0134 memory: 17087 grad_norm: 6.9857 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7937 loss: 0.7937 2022/08/05 07:48:04 - mmengine - INFO - Epoch(train) [202][1280/1879] lr: 1.0000e-04 eta: 12:16:23 time: 0.4325 data_time: 0.0162 memory: 17087 grad_norm: 7.0556 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8462 loss: 0.8462 2022/08/05 07:48:13 - mmengine - INFO - Epoch(train) [202][1300/1879] lr: 1.0000e-04 eta: 12:16:14 time: 0.4332 data_time: 0.0162 memory: 17087 grad_norm: 7.3563 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9934 loss: 0.9934 2022/08/05 07:48:21 - mmengine - INFO - Epoch(train) [202][1320/1879] lr: 1.0000e-04 eta: 12:16:06 time: 0.4315 data_time: 0.0165 memory: 17087 grad_norm: 6.8700 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7534 loss: 0.7534 2022/08/05 07:48:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 07:48:30 - mmengine - INFO - Epoch(train) [202][1340/1879] lr: 1.0000e-04 eta: 12:15:57 time: 0.4480 data_time: 0.0147 memory: 17087 grad_norm: 6.8706 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6441 loss: 0.6441 2022/08/05 07:48:39 - mmengine - INFO - Epoch(train) [202][1360/1879] lr: 1.0000e-04 eta: 12:15:48 time: 0.4376 data_time: 0.0185 memory: 17087 grad_norm: 6.9964 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7992 loss: 0.7992 2022/08/05 07:48:48 - mmengine - INFO - Epoch(train) [202][1380/1879] lr: 1.0000e-04 eta: 12:15:40 time: 0.4308 data_time: 0.0138 memory: 17087 grad_norm: 7.1310 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8836 loss: 0.8836 2022/08/05 07:48:56 - mmengine - INFO - Epoch(train) [202][1400/1879] lr: 1.0000e-04 eta: 12:15:31 time: 0.4371 data_time: 0.0182 memory: 17087 grad_norm: 7.0321 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9010 loss: 0.9010 2022/08/05 07:49:05 - mmengine - INFO - Epoch(train) [202][1420/1879] lr: 1.0000e-04 eta: 12:15:22 time: 0.4303 data_time: 0.0163 memory: 17087 grad_norm: 6.8746 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8985 loss: 0.8985 2022/08/05 07:49:14 - mmengine - INFO - Epoch(train) [202][1440/1879] lr: 1.0000e-04 eta: 12:15:14 time: 0.4512 data_time: 0.0182 memory: 17087 grad_norm: 6.9055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7349 loss: 0.7349 2022/08/05 07:49:23 - mmengine - INFO - Epoch(train) [202][1460/1879] lr: 1.0000e-04 eta: 12:15:05 time: 0.4304 data_time: 0.0151 memory: 17087 grad_norm: 6.8968 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6837 loss: 0.6837 2022/08/05 07:49:31 - mmengine - INFO - Epoch(train) [202][1480/1879] lr: 1.0000e-04 eta: 12:14:56 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 7.0424 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7167 loss: 0.7167 2022/08/05 07:49:40 - mmengine - INFO - Epoch(train) [202][1500/1879] lr: 1.0000e-04 eta: 12:14:48 time: 0.4460 data_time: 0.0155 memory: 17087 grad_norm: 6.6659 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6295 loss: 0.6295 2022/08/05 07:49:49 - mmengine - INFO - Epoch(train) [202][1520/1879] lr: 1.0000e-04 eta: 12:14:39 time: 0.4315 data_time: 0.0183 memory: 17087 grad_norm: 7.0116 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8838 loss: 0.8838 2022/08/05 07:49:58 - mmengine - INFO - Epoch(train) [202][1540/1879] lr: 1.0000e-04 eta: 12:14:31 time: 0.4283 data_time: 0.0147 memory: 17087 grad_norm: 6.9763 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8927 loss: 0.8927 2022/08/05 07:50:06 - mmengine - INFO - Epoch(train) [202][1560/1879] lr: 1.0000e-04 eta: 12:14:22 time: 0.4306 data_time: 0.0155 memory: 17087 grad_norm: 6.9040 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6829 loss: 0.6829 2022/08/05 07:50:15 - mmengine - INFO - Epoch(train) [202][1580/1879] lr: 1.0000e-04 eta: 12:14:13 time: 0.4344 data_time: 0.0144 memory: 17087 grad_norm: 6.6852 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6409 loss: 0.6409 2022/08/05 07:50:23 - mmengine - INFO - Epoch(train) [202][1600/1879] lr: 1.0000e-04 eta: 12:14:05 time: 0.4298 data_time: 0.0156 memory: 17087 grad_norm: 6.8140 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8114 loss: 0.8114 2022/08/05 07:50:32 - mmengine - INFO - Epoch(train) [202][1620/1879] lr: 1.0000e-04 eta: 12:13:56 time: 0.4295 data_time: 0.0151 memory: 17087 grad_norm: 6.8191 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8638 loss: 0.8638 2022/08/05 07:50:41 - mmengine - INFO - Epoch(train) [202][1640/1879] lr: 1.0000e-04 eta: 12:13:47 time: 0.4516 data_time: 0.0179 memory: 17087 grad_norm: 6.9475 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9303 loss: 0.9303 2022/08/05 07:50:50 - mmengine - INFO - Epoch(train) [202][1660/1879] lr: 1.0000e-04 eta: 12:13:39 time: 0.4310 data_time: 0.0152 memory: 17087 grad_norm: 7.1557 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8034 loss: 0.8034 2022/08/05 07:50:59 - mmengine - INFO - Epoch(train) [202][1680/1879] lr: 1.0000e-04 eta: 12:13:30 time: 0.4417 data_time: 0.0183 memory: 17087 grad_norm: 7.3355 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9219 loss: 0.9219 2022/08/05 07:51:07 - mmengine - INFO - Epoch(train) [202][1700/1879] lr: 1.0000e-04 eta: 12:13:21 time: 0.4295 data_time: 0.0151 memory: 17087 grad_norm: 6.9144 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7802 loss: 0.7802 2022/08/05 07:51:16 - mmengine - INFO - Epoch(train) [202][1720/1879] lr: 1.0000e-04 eta: 12:13:13 time: 0.4399 data_time: 0.0166 memory: 17087 grad_norm: 6.9912 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8631 loss: 0.8631 2022/08/05 07:51:25 - mmengine - INFO - Epoch(train) [202][1740/1879] lr: 1.0000e-04 eta: 12:13:04 time: 0.4308 data_time: 0.0141 memory: 17087 grad_norm: 6.9527 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8762 loss: 0.8762 2022/08/05 07:51:34 - mmengine - INFO - Epoch(train) [202][1760/1879] lr: 1.0000e-04 eta: 12:12:56 time: 0.4639 data_time: 0.0196 memory: 17087 grad_norm: 7.0249 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8503 loss: 0.8503 2022/08/05 07:51:43 - mmengine - INFO - Epoch(train) [202][1780/1879] lr: 1.0000e-04 eta: 12:12:47 time: 0.4308 data_time: 0.0156 memory: 17087 grad_norm: 6.8685 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8911 loss: 0.8911 2022/08/05 07:51:51 - mmengine - INFO - Epoch(train) [202][1800/1879] lr: 1.0000e-04 eta: 12:12:38 time: 0.4299 data_time: 0.0158 memory: 17087 grad_norm: 7.2354 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9672 loss: 0.9672 2022/08/05 07:52:00 - mmengine - INFO - Epoch(train) [202][1820/1879] lr: 1.0000e-04 eta: 12:12:30 time: 0.4339 data_time: 0.0147 memory: 17087 grad_norm: 7.0752 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8944 loss: 0.8944 2022/08/05 07:52:09 - mmengine - INFO - Epoch(train) [202][1840/1879] lr: 1.0000e-04 eta: 12:12:21 time: 0.4307 data_time: 0.0170 memory: 17087 grad_norm: 7.0631 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8756 loss: 0.8756 2022/08/05 07:52:18 - mmengine - INFO - Epoch(train) [202][1860/1879] lr: 1.0000e-04 eta: 12:12:12 time: 0.4532 data_time: 0.0155 memory: 17087 grad_norm: 7.1222 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8632 loss: 0.8632 2022/08/05 07:52:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 07:52:26 - mmengine - INFO - Epoch(train) [202][1879/1879] lr: 1.0000e-04 eta: 12:12:12 time: 0.4142 data_time: 0.0145 memory: 17087 grad_norm: 7.0047 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8957 loss: 0.8957 2022/08/05 07:52:37 - mmengine - INFO - Epoch(train) [203][20/1879] lr: 1.0000e-04 eta: 12:11:54 time: 0.5602 data_time: 0.1164 memory: 17087 grad_norm: 6.8718 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7313 loss: 0.7313 2022/08/05 07:52:46 - mmengine - INFO - Epoch(train) [203][40/1879] lr: 1.0000e-04 eta: 12:11:45 time: 0.4524 data_time: 0.0216 memory: 17087 grad_norm: 6.9194 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7895 loss: 0.7895 2022/08/05 07:52:55 - mmengine - INFO - Epoch(train) [203][60/1879] lr: 1.0000e-04 eta: 12:11:37 time: 0.4332 data_time: 0.0180 memory: 17087 grad_norm: 7.1715 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7733 loss: 0.7733 2022/08/05 07:53:03 - mmengine - INFO - Epoch(train) [203][80/1879] lr: 1.0000e-04 eta: 12:11:28 time: 0.4335 data_time: 0.0166 memory: 17087 grad_norm: 6.8170 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7447 loss: 0.7447 2022/08/05 07:53:12 - mmengine - INFO - Epoch(train) [203][100/1879] lr: 1.0000e-04 eta: 12:11:19 time: 0.4288 data_time: 0.0139 memory: 17087 grad_norm: 6.9547 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0204 loss: 1.0204 2022/08/05 07:53:21 - mmengine - INFO - Epoch(train) [203][120/1879] lr: 1.0000e-04 eta: 12:11:11 time: 0.4365 data_time: 0.0179 memory: 17087 grad_norm: 7.1782 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7904 loss: 0.7904 2022/08/05 07:53:29 - mmengine - INFO - Epoch(train) [203][140/1879] lr: 1.0000e-04 eta: 12:11:02 time: 0.4310 data_time: 0.0139 memory: 17087 grad_norm: 6.9984 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7316 loss: 0.7316 2022/08/05 07:53:38 - mmengine - INFO - Epoch(train) [203][160/1879] lr: 1.0000e-04 eta: 12:10:53 time: 0.4316 data_time: 0.0174 memory: 17087 grad_norm: 6.8637 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8807 loss: 0.8807 2022/08/05 07:53:47 - mmengine - INFO - Epoch(train) [203][180/1879] lr: 1.0000e-04 eta: 12:10:45 time: 0.4329 data_time: 0.0144 memory: 17087 grad_norm: 6.7748 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7836 loss: 0.7836 2022/08/05 07:53:56 - mmengine - INFO - Epoch(train) [203][200/1879] lr: 1.0000e-04 eta: 12:10:36 time: 0.4503 data_time: 0.0174 memory: 17087 grad_norm: 6.9117 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8019 loss: 0.8019 2022/08/05 07:54:04 - mmengine - INFO - Epoch(train) [203][220/1879] lr: 1.0000e-04 eta: 12:10:28 time: 0.4290 data_time: 0.0144 memory: 17087 grad_norm: 6.9372 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7396 loss: 0.7396 2022/08/05 07:54:13 - mmengine - INFO - Epoch(train) [203][240/1879] lr: 1.0000e-04 eta: 12:10:19 time: 0.4326 data_time: 0.0178 memory: 17087 grad_norm: 6.9984 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9883 loss: 0.9883 2022/08/05 07:54:22 - mmengine - INFO - Epoch(train) [203][260/1879] lr: 1.0000e-04 eta: 12:10:10 time: 0.4373 data_time: 0.0157 memory: 17087 grad_norm: 6.7311 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8006 loss: 0.8006 2022/08/05 07:54:30 - mmengine - INFO - Epoch(train) [203][280/1879] lr: 1.0000e-04 eta: 12:10:02 time: 0.4300 data_time: 0.0154 memory: 17087 grad_norm: 6.9958 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8401 loss: 0.8401 2022/08/05 07:54:39 - mmengine - INFO - Epoch(train) [203][300/1879] lr: 1.0000e-04 eta: 12:09:53 time: 0.4317 data_time: 0.0152 memory: 17087 grad_norm: 6.7030 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8308 loss: 0.8308 2022/08/05 07:54:48 - mmengine - INFO - Epoch(train) [203][320/1879] lr: 1.0000e-04 eta: 12:09:44 time: 0.4320 data_time: 0.0172 memory: 17087 grad_norm: 7.1125 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9945 loss: 0.9945 2022/08/05 07:54:56 - mmengine - INFO - Epoch(train) [203][340/1879] lr: 1.0000e-04 eta: 12:09:36 time: 0.4442 data_time: 0.0140 memory: 17087 grad_norm: 7.0176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0362 loss: 1.0362 2022/08/05 07:55:05 - mmengine - INFO - Epoch(train) [203][360/1879] lr: 1.0000e-04 eta: 12:09:27 time: 0.4346 data_time: 0.0160 memory: 17087 grad_norm: 6.9188 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8958 loss: 0.8958 2022/08/05 07:55:14 - mmengine - INFO - Epoch(train) [203][380/1879] lr: 1.0000e-04 eta: 12:09:18 time: 0.4313 data_time: 0.0148 memory: 17087 grad_norm: 6.9342 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7929 loss: 0.7929 2022/08/05 07:55:23 - mmengine - INFO - Epoch(train) [203][400/1879] lr: 1.0000e-04 eta: 12:09:10 time: 0.4430 data_time: 0.0164 memory: 17087 grad_norm: 7.0337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8160 loss: 0.8160 2022/08/05 07:55:31 - mmengine - INFO - Epoch(train) [203][420/1879] lr: 1.0000e-04 eta: 12:09:01 time: 0.4316 data_time: 0.0150 memory: 17087 grad_norm: 6.8472 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0241 loss: 1.0241 2022/08/05 07:55:40 - mmengine - INFO - Epoch(train) [203][440/1879] lr: 1.0000e-04 eta: 12:08:52 time: 0.4336 data_time: 0.0161 memory: 17087 grad_norm: 6.9163 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7900 loss: 0.7900 2022/08/05 07:55:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 07:55:49 - mmengine - INFO - Epoch(train) [203][460/1879] lr: 1.0000e-04 eta: 12:08:44 time: 0.4280 data_time: 0.0139 memory: 17087 grad_norm: 6.9252 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8265 loss: 0.8265 2022/08/05 07:55:57 - mmengine - INFO - Epoch(train) [203][480/1879] lr: 1.0000e-04 eta: 12:08:35 time: 0.4344 data_time: 0.0182 memory: 17087 grad_norm: 6.8892 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7911 loss: 0.7911 2022/08/05 07:56:06 - mmengine - INFO - Epoch(train) [203][500/1879] lr: 1.0000e-04 eta: 12:08:26 time: 0.4283 data_time: 0.0148 memory: 17087 grad_norm: 7.1075 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 1.0127 loss: 1.0127 2022/08/05 07:56:15 - mmengine - INFO - Epoch(train) [203][520/1879] lr: 1.0000e-04 eta: 12:08:18 time: 0.4538 data_time: 0.0184 memory: 17087 grad_norm: 7.0352 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0060 loss: 1.0060 2022/08/05 07:56:24 - mmengine - INFO - Epoch(train) [203][540/1879] lr: 1.0000e-04 eta: 12:08:09 time: 0.4299 data_time: 0.0158 memory: 17087 grad_norm: 6.9565 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8630 loss: 0.8630 2022/08/05 07:56:32 - mmengine - INFO - Epoch(train) [203][560/1879] lr: 1.0000e-04 eta: 12:08:01 time: 0.4307 data_time: 0.0167 memory: 17087 grad_norm: 6.8338 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6506 loss: 0.6506 2022/08/05 07:56:41 - mmengine - INFO - Epoch(train) [203][580/1879] lr: 1.0000e-04 eta: 12:07:52 time: 0.4336 data_time: 0.0166 memory: 17087 grad_norm: 6.9179 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.9722 loss: 0.9722 2022/08/05 07:56:50 - mmengine - INFO - Epoch(train) [203][600/1879] lr: 1.0000e-04 eta: 12:07:43 time: 0.4312 data_time: 0.0171 memory: 17087 grad_norm: 6.8981 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8786 loss: 0.8786 2022/08/05 07:56:58 - mmengine - INFO - Epoch(train) [203][620/1879] lr: 1.0000e-04 eta: 12:07:35 time: 0.4294 data_time: 0.0140 memory: 17087 grad_norm: 7.0117 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7706 loss: 0.7706 2022/08/05 07:57:07 - mmengine - INFO - Epoch(train) [203][640/1879] lr: 1.0000e-04 eta: 12:07:26 time: 0.4321 data_time: 0.0160 memory: 17087 grad_norm: 7.0153 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9246 loss: 0.9246 2022/08/05 07:57:16 - mmengine - INFO - Epoch(train) [203][660/1879] lr: 1.0000e-04 eta: 12:07:17 time: 0.4469 data_time: 0.0155 memory: 17087 grad_norm: 6.9308 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8298 loss: 0.8298 2022/08/05 07:57:25 - mmengine - INFO - Epoch(train) [203][680/1879] lr: 1.0000e-04 eta: 12:07:09 time: 0.4340 data_time: 0.0162 memory: 17087 grad_norm: 6.8943 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7352 loss: 0.7352 2022/08/05 07:57:33 - mmengine - INFO - Epoch(train) [203][700/1879] lr: 1.0000e-04 eta: 12:07:00 time: 0.4278 data_time: 0.0150 memory: 17087 grad_norm: 6.6343 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8449 loss: 0.8449 2022/08/05 07:57:42 - mmengine - INFO - Epoch(train) [203][720/1879] lr: 1.0000e-04 eta: 12:06:51 time: 0.4355 data_time: 0.0193 memory: 17087 grad_norm: 6.7923 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7916 loss: 0.7916 2022/08/05 07:57:50 - mmengine - INFO - Epoch(train) [203][740/1879] lr: 1.0000e-04 eta: 12:06:43 time: 0.4292 data_time: 0.0138 memory: 17087 grad_norm: 7.0163 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8421 loss: 0.8421 2022/08/05 07:57:59 - mmengine - INFO - Epoch(train) [203][760/1879] lr: 1.0000e-04 eta: 12:06:34 time: 0.4349 data_time: 0.0177 memory: 17087 grad_norm: 6.7378 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8859 loss: 0.8859 2022/08/05 07:58:08 - mmengine - INFO - Epoch(train) [203][780/1879] lr: 1.0000e-04 eta: 12:06:25 time: 0.4293 data_time: 0.0149 memory: 17087 grad_norm: 6.7186 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7000 loss: 0.7000 2022/08/05 07:58:17 - mmengine - INFO - Epoch(train) [203][800/1879] lr: 1.0000e-04 eta: 12:06:17 time: 0.4514 data_time: 0.0176 memory: 17087 grad_norm: 6.8359 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8525 loss: 0.8525 2022/08/05 07:58:25 - mmengine - INFO - Epoch(train) [203][820/1879] lr: 1.0000e-04 eta: 12:06:08 time: 0.4301 data_time: 0.0125 memory: 17087 grad_norm: 6.7842 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7616 loss: 0.7616 2022/08/05 07:58:35 - mmengine - INFO - Epoch(train) [203][840/1879] lr: 1.0000e-04 eta: 12:06:00 time: 0.4635 data_time: 0.0186 memory: 17087 grad_norm: 6.9641 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8421 loss: 0.8421 2022/08/05 07:58:43 - mmengine - INFO - Epoch(train) [203][860/1879] lr: 1.0000e-04 eta: 12:05:51 time: 0.4298 data_time: 0.0134 memory: 17087 grad_norm: 6.8687 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8170 loss: 0.8170 2022/08/05 07:58:52 - mmengine - INFO - Epoch(train) [203][880/1879] lr: 1.0000e-04 eta: 12:05:42 time: 0.4321 data_time: 0.0177 memory: 17087 grad_norm: 7.0783 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7924 loss: 0.7924 2022/08/05 07:59:01 - mmengine - INFO - Epoch(train) [203][900/1879] lr: 1.0000e-04 eta: 12:05:34 time: 0.4419 data_time: 0.0143 memory: 17087 grad_norm: 6.9179 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8935 loss: 0.8935 2022/08/05 07:59:10 - mmengine - INFO - Epoch(train) [203][920/1879] lr: 1.0000e-04 eta: 12:05:25 time: 0.4310 data_time: 0.0160 memory: 17087 grad_norm: 6.7299 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8819 loss: 0.8819 2022/08/05 07:59:18 - mmengine - INFO - Epoch(train) [203][940/1879] lr: 1.0000e-04 eta: 12:05:16 time: 0.4309 data_time: 0.0152 memory: 17087 grad_norm: 6.7784 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7935 loss: 0.7935 2022/08/05 07:59:27 - mmengine - INFO - Epoch(train) [203][960/1879] lr: 1.0000e-04 eta: 12:05:08 time: 0.4293 data_time: 0.0205 memory: 17087 grad_norm: 7.1018 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9862 loss: 0.9862 2022/08/05 07:59:36 - mmengine - INFO - Epoch(train) [203][980/1879] lr: 1.0000e-04 eta: 12:04:59 time: 0.4469 data_time: 0.0131 memory: 17087 grad_norm: 6.8440 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7448 loss: 0.7448 2022/08/05 07:59:44 - mmengine - INFO - Epoch(train) [203][1000/1879] lr: 1.0000e-04 eta: 12:04:50 time: 0.4306 data_time: 0.0165 memory: 17087 grad_norm: 6.9966 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7420 loss: 0.7420 2022/08/05 07:59:53 - mmengine - INFO - Epoch(train) [203][1020/1879] lr: 1.0000e-04 eta: 12:04:42 time: 0.4294 data_time: 0.0144 memory: 17087 grad_norm: 7.0786 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7817 loss: 0.7817 2022/08/05 08:00:02 - mmengine - INFO - Epoch(train) [203][1040/1879] lr: 1.0000e-04 eta: 12:04:33 time: 0.4585 data_time: 0.0174 memory: 17087 grad_norm: 7.0052 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7441 loss: 0.7441 2022/08/05 08:00:11 - mmengine - INFO - Epoch(train) [203][1060/1879] lr: 1.0000e-04 eta: 12:04:24 time: 0.4293 data_time: 0.0132 memory: 17087 grad_norm: 7.0007 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8552 loss: 0.8552 2022/08/05 08:00:20 - mmengine - INFO - Epoch(train) [203][1080/1879] lr: 1.0000e-04 eta: 12:04:16 time: 0.4363 data_time: 0.0181 memory: 17087 grad_norm: 6.7280 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7713 loss: 0.7713 2022/08/05 08:00:28 - mmengine - INFO - Epoch(train) [203][1100/1879] lr: 1.0000e-04 eta: 12:04:07 time: 0.4290 data_time: 0.0150 memory: 17087 grad_norm: 6.9681 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9186 loss: 0.9186 2022/08/05 08:00:37 - mmengine - INFO - Epoch(train) [203][1120/1879] lr: 1.0000e-04 eta: 12:03:59 time: 0.4374 data_time: 0.0195 memory: 17087 grad_norm: 6.7582 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8322 loss: 0.8322 2022/08/05 08:00:46 - mmengine - INFO - Epoch(train) [203][1140/1879] lr: 1.0000e-04 eta: 12:03:50 time: 0.4308 data_time: 0.0165 memory: 17087 grad_norm: 7.0812 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8218 loss: 0.8218 2022/08/05 08:00:54 - mmengine - INFO - Epoch(train) [203][1160/1879] lr: 1.0000e-04 eta: 12:03:41 time: 0.4372 data_time: 0.0178 memory: 17087 grad_norm: 7.1230 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8861 loss: 0.8861 2022/08/05 08:01:03 - mmengine - INFO - Epoch(train) [203][1180/1879] lr: 1.0000e-04 eta: 12:03:33 time: 0.4308 data_time: 0.0153 memory: 17087 grad_norm: 6.9981 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5924 loss: 0.5924 2022/08/05 08:01:12 - mmengine - INFO - Epoch(train) [203][1200/1879] lr: 1.0000e-04 eta: 12:03:24 time: 0.4312 data_time: 0.0179 memory: 17087 grad_norm: 6.7736 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8027 loss: 0.8027 2022/08/05 08:01:20 - mmengine - INFO - Epoch(train) [203][1220/1879] lr: 1.0000e-04 eta: 12:03:15 time: 0.4343 data_time: 0.0161 memory: 17087 grad_norm: 6.9966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8168 loss: 0.8168 2022/08/05 08:01:29 - mmengine - INFO - Epoch(train) [203][1240/1879] lr: 1.0000e-04 eta: 12:03:07 time: 0.4391 data_time: 0.0168 memory: 17087 grad_norm: 6.6931 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8176 loss: 0.8176 2022/08/05 08:01:38 - mmengine - INFO - Epoch(train) [203][1260/1879] lr: 1.0000e-04 eta: 12:02:58 time: 0.4306 data_time: 0.0139 memory: 17087 grad_norm: 7.0935 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7934 loss: 0.7934 2022/08/05 08:01:47 - mmengine - INFO - Epoch(train) [203][1280/1879] lr: 1.0000e-04 eta: 12:02:49 time: 0.4389 data_time: 0.0167 memory: 17087 grad_norm: 6.9527 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8284 loss: 0.8284 2022/08/05 08:01:55 - mmengine - INFO - Epoch(train) [203][1300/1879] lr: 1.0000e-04 eta: 12:02:41 time: 0.4311 data_time: 0.0160 memory: 17087 grad_norm: 6.8558 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7421 loss: 0.7421 2022/08/05 08:02:04 - mmengine - INFO - Epoch(train) [203][1320/1879] lr: 1.0000e-04 eta: 12:02:32 time: 0.4327 data_time: 0.0155 memory: 17087 grad_norm: 7.1986 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8830 loss: 0.8830 2022/08/05 08:02:13 - mmengine - INFO - Epoch(train) [203][1340/1879] lr: 1.0000e-04 eta: 12:02:23 time: 0.4385 data_time: 0.0140 memory: 17087 grad_norm: 7.2449 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8802 loss: 0.8802 2022/08/05 08:02:21 - mmengine - INFO - Epoch(train) [203][1360/1879] lr: 1.0000e-04 eta: 12:02:15 time: 0.4319 data_time: 0.0177 memory: 17087 grad_norm: 7.1607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7392 loss: 0.7392 2022/08/05 08:02:30 - mmengine - INFO - Epoch(train) [203][1380/1879] lr: 1.0000e-04 eta: 12:02:06 time: 0.4455 data_time: 0.0150 memory: 17087 grad_norm: 6.7826 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7769 loss: 0.7769 2022/08/05 08:02:39 - mmengine - INFO - Epoch(train) [203][1400/1879] lr: 1.0000e-04 eta: 12:01:57 time: 0.4328 data_time: 0.0163 memory: 17087 grad_norm: 6.9624 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6339 loss: 0.6339 2022/08/05 08:02:48 - mmengine - INFO - Epoch(train) [203][1420/1879] lr: 1.0000e-04 eta: 12:01:49 time: 0.4430 data_time: 0.0163 memory: 17087 grad_norm: 6.8776 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7080 loss: 0.7080 2022/08/05 08:02:57 - mmengine - INFO - Epoch(train) [203][1440/1879] lr: 1.0000e-04 eta: 12:01:40 time: 0.4363 data_time: 0.0198 memory: 17087 grad_norm: 6.7585 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8400 loss: 0.8400 2022/08/05 08:02:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 08:03:05 - mmengine - INFO - Epoch(train) [203][1460/1879] lr: 1.0000e-04 eta: 12:01:32 time: 0.4328 data_time: 0.0160 memory: 17087 grad_norm: 6.8368 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9797 loss: 0.9797 2022/08/05 08:03:14 - mmengine - INFO - Epoch(train) [203][1480/1879] lr: 1.0000e-04 eta: 12:01:23 time: 0.4308 data_time: 0.0160 memory: 17087 grad_norm: 7.4525 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7940 loss: 0.7940 2022/08/05 08:03:23 - mmengine - INFO - Epoch(train) [203][1500/1879] lr: 1.0000e-04 eta: 12:01:14 time: 0.4300 data_time: 0.0141 memory: 17087 grad_norm: 7.2049 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8298 loss: 0.8298 2022/08/05 08:03:31 - mmengine - INFO - Epoch(train) [203][1520/1879] lr: 1.0000e-04 eta: 12:01:06 time: 0.4308 data_time: 0.0167 memory: 17087 grad_norm: 7.0661 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8477 loss: 0.8477 2022/08/05 08:03:40 - mmengine - INFO - Epoch(train) [203][1540/1879] lr: 1.0000e-04 eta: 12:00:57 time: 0.4351 data_time: 0.0153 memory: 17087 grad_norm: 6.9030 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7497 loss: 0.7497 2022/08/05 08:03:49 - mmengine - INFO - Epoch(train) [203][1560/1879] lr: 1.0000e-04 eta: 12:00:48 time: 0.4349 data_time: 0.0172 memory: 17087 grad_norm: 6.9762 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7314 loss: 0.7314 2022/08/05 08:03:57 - mmengine - INFO - Epoch(train) [203][1580/1879] lr: 1.0000e-04 eta: 12:00:40 time: 0.4279 data_time: 0.0144 memory: 17087 grad_norm: 7.0305 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8277 loss: 0.8277 2022/08/05 08:04:06 - mmengine - INFO - Epoch(train) [203][1600/1879] lr: 1.0000e-04 eta: 12:00:31 time: 0.4437 data_time: 0.0174 memory: 17087 grad_norm: 7.1969 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8499 loss: 0.8499 2022/08/05 08:04:15 - mmengine - INFO - Epoch(train) [203][1620/1879] lr: 1.0000e-04 eta: 12:00:22 time: 0.4465 data_time: 0.0203 memory: 17087 grad_norm: 6.8871 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7046 loss: 0.7046 2022/08/05 08:04:24 - mmengine - INFO - Epoch(train) [203][1640/1879] lr: 1.0000e-04 eta: 12:00:14 time: 0.4319 data_time: 0.0171 memory: 17087 grad_norm: 7.1768 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8327 loss: 0.8327 2022/08/05 08:04:32 - mmengine - INFO - Epoch(train) [203][1660/1879] lr: 1.0000e-04 eta: 12:00:05 time: 0.4291 data_time: 0.0137 memory: 17087 grad_norm: 7.0944 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8245 loss: 0.8245 2022/08/05 08:04:41 - mmengine - INFO - Epoch(train) [203][1680/1879] lr: 1.0000e-04 eta: 11:59:56 time: 0.4518 data_time: 0.0174 memory: 17087 grad_norm: 6.8875 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8184 loss: 0.8184 2022/08/05 08:04:50 - mmengine - INFO - Epoch(train) [203][1700/1879] lr: 1.0000e-04 eta: 11:59:48 time: 0.4298 data_time: 0.0136 memory: 17087 grad_norm: 7.2040 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9760 loss: 0.9760 2022/08/05 08:04:59 - mmengine - INFO - Epoch(train) [203][1720/1879] lr: 1.0000e-04 eta: 11:59:39 time: 0.4327 data_time: 0.0161 memory: 17087 grad_norm: 7.3655 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0389 loss: 1.0389 2022/08/05 08:05:07 - mmengine - INFO - Epoch(train) [203][1740/1879] lr: 1.0000e-04 eta: 11:59:30 time: 0.4312 data_time: 0.0142 memory: 17087 grad_norm: 7.3268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8914 loss: 0.8914 2022/08/05 08:05:16 - mmengine - INFO - Epoch(train) [203][1760/1879] lr: 1.0000e-04 eta: 11:59:22 time: 0.4331 data_time: 0.0173 memory: 17087 grad_norm: 6.9408 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7866 loss: 0.7866 2022/08/05 08:05:25 - mmengine - INFO - Epoch(train) [203][1780/1879] lr: 1.0000e-04 eta: 11:59:13 time: 0.4331 data_time: 0.0160 memory: 17087 grad_norm: 7.0824 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8967 loss: 0.8967 2022/08/05 08:05:33 - mmengine - INFO - Epoch(train) [203][1800/1879] lr: 1.0000e-04 eta: 11:59:04 time: 0.4306 data_time: 0.0154 memory: 17087 grad_norm: 7.0620 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8151 loss: 0.8151 2022/08/05 08:05:42 - mmengine - INFO - Epoch(train) [203][1820/1879] lr: 1.0000e-04 eta: 11:58:56 time: 0.4346 data_time: 0.0137 memory: 17087 grad_norm: 7.0426 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9705 loss: 0.9705 2022/08/05 08:05:51 - mmengine - INFO - Epoch(train) [203][1840/1879] lr: 1.0000e-04 eta: 11:58:47 time: 0.4360 data_time: 0.0160 memory: 17087 grad_norm: 6.8802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6758 loss: 0.6758 2022/08/05 08:06:00 - mmengine - INFO - Epoch(train) [203][1860/1879] lr: 1.0000e-04 eta: 11:58:39 time: 0.4550 data_time: 0.0150 memory: 17087 grad_norm: 7.1474 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7500 loss: 0.7500 2022/08/05 08:06:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 08:06:08 - mmengine - INFO - Epoch(train) [203][1879/1879] lr: 1.0000e-04 eta: 11:58:39 time: 0.4112 data_time: 0.0154 memory: 17087 grad_norm: 7.0301 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8914 loss: 0.8914 2022/08/05 08:06:19 - mmengine - INFO - Epoch(train) [204][20/1879] lr: 1.0000e-04 eta: 11:58:20 time: 0.5737 data_time: 0.1483 memory: 17087 grad_norm: 7.0199 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7350 loss: 0.7350 2022/08/05 08:06:28 - mmengine - INFO - Epoch(train) [204][40/1879] lr: 1.0000e-04 eta: 11:58:12 time: 0.4389 data_time: 0.0185 memory: 17087 grad_norm: 6.8437 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9542 loss: 0.9542 2022/08/05 08:06:37 - mmengine - INFO - Epoch(train) [204][60/1879] lr: 1.0000e-04 eta: 11:58:03 time: 0.4400 data_time: 0.0155 memory: 17087 grad_norm: 7.1832 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8114 loss: 0.8114 2022/08/05 08:06:46 - mmengine - INFO - Epoch(train) [204][80/1879] lr: 1.0000e-04 eta: 11:57:54 time: 0.4409 data_time: 0.0211 memory: 17087 grad_norm: 6.7278 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7803 loss: 0.7803 2022/08/05 08:06:54 - mmengine - INFO - Epoch(train) [204][100/1879] lr: 1.0000e-04 eta: 11:57:46 time: 0.4319 data_time: 0.0151 memory: 17087 grad_norm: 7.2803 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9611 loss: 0.9611 2022/08/05 08:07:03 - mmengine - INFO - Epoch(train) [204][120/1879] lr: 1.0000e-04 eta: 11:57:37 time: 0.4459 data_time: 0.0188 memory: 17087 grad_norm: 6.9095 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7904 loss: 0.7904 2022/08/05 08:07:12 - mmengine - INFO - Epoch(train) [204][140/1879] lr: 1.0000e-04 eta: 11:57:29 time: 0.4354 data_time: 0.0173 memory: 17087 grad_norm: 7.1714 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8300 loss: 0.8300 2022/08/05 08:07:21 - mmengine - INFO - Epoch(train) [204][160/1879] lr: 1.0000e-04 eta: 11:57:20 time: 0.4457 data_time: 0.0176 memory: 17087 grad_norm: 7.1319 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7399 loss: 0.7399 2022/08/05 08:07:30 - mmengine - INFO - Epoch(train) [204][180/1879] lr: 1.0000e-04 eta: 11:57:11 time: 0.4309 data_time: 0.0143 memory: 17087 grad_norm: 6.7816 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8285 loss: 0.8285 2022/08/05 08:07:39 - mmengine - INFO - Epoch(train) [204][200/1879] lr: 1.0000e-04 eta: 11:57:03 time: 0.4502 data_time: 0.0172 memory: 17087 grad_norm: 6.9299 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8756 loss: 0.8756 2022/08/05 08:07:47 - mmengine - INFO - Epoch(train) [204][220/1879] lr: 1.0000e-04 eta: 11:56:54 time: 0.4381 data_time: 0.0203 memory: 17087 grad_norm: 7.0165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8434 loss: 0.8434 2022/08/05 08:07:56 - mmengine - INFO - Epoch(train) [204][240/1879] lr: 1.0000e-04 eta: 11:56:46 time: 0.4448 data_time: 0.0178 memory: 17087 grad_norm: 7.1166 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9044 loss: 0.9044 2022/08/05 08:08:05 - mmengine - INFO - Epoch(train) [204][260/1879] lr: 1.0000e-04 eta: 11:56:37 time: 0.4303 data_time: 0.0154 memory: 17087 grad_norm: 7.1032 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8173 loss: 0.8173 2022/08/05 08:08:14 - mmengine - INFO - Epoch(train) [204][280/1879] lr: 1.0000e-04 eta: 11:56:28 time: 0.4344 data_time: 0.0158 memory: 17087 grad_norm: 7.0658 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8503 loss: 0.8503 2022/08/05 08:08:22 - mmengine - INFO - Epoch(train) [204][300/1879] lr: 1.0000e-04 eta: 11:56:20 time: 0.4321 data_time: 0.0145 memory: 17087 grad_norm: 6.8861 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7902 loss: 0.7902 2022/08/05 08:08:31 - mmengine - INFO - Epoch(train) [204][320/1879] lr: 1.0000e-04 eta: 11:56:11 time: 0.4326 data_time: 0.0169 memory: 17087 grad_norm: 6.7906 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8296 loss: 0.8296 2022/08/05 08:08:40 - mmengine - INFO - Epoch(train) [204][340/1879] lr: 1.0000e-04 eta: 11:56:02 time: 0.4512 data_time: 0.0150 memory: 17087 grad_norm: 6.8621 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6853 loss: 0.6853 2022/08/05 08:08:49 - mmengine - INFO - Epoch(train) [204][360/1879] lr: 1.0000e-04 eta: 11:55:54 time: 0.4325 data_time: 0.0176 memory: 17087 grad_norm: 7.0368 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8055 loss: 0.8055 2022/08/05 08:08:58 - mmengine - INFO - Epoch(train) [204][380/1879] lr: 1.0000e-04 eta: 11:55:45 time: 0.4396 data_time: 0.0147 memory: 17087 grad_norm: 7.2560 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8633 loss: 0.8633 2022/08/05 08:09:06 - mmengine - INFO - Epoch(train) [204][400/1879] lr: 1.0000e-04 eta: 11:55:36 time: 0.4309 data_time: 0.0164 memory: 17087 grad_norm: 6.8526 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8825 loss: 0.8825 2022/08/05 08:09:15 - mmengine - INFO - Epoch(train) [204][420/1879] lr: 1.0000e-04 eta: 11:55:28 time: 0.4314 data_time: 0.0143 memory: 17087 grad_norm: 6.7458 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9271 loss: 0.9271 2022/08/05 08:09:24 - mmengine - INFO - Epoch(train) [204][440/1879] lr: 1.0000e-04 eta: 11:55:19 time: 0.4323 data_time: 0.0173 memory: 17087 grad_norm: 6.8357 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8045 loss: 0.8045 2022/08/05 08:09:32 - mmengine - INFO - Epoch(train) [204][460/1879] lr: 1.0000e-04 eta: 11:55:10 time: 0.4313 data_time: 0.0165 memory: 17087 grad_norm: 7.1798 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9414 loss: 0.9414 2022/08/05 08:09:41 - mmengine - INFO - Epoch(train) [204][480/1879] lr: 1.0000e-04 eta: 11:55:02 time: 0.4349 data_time: 0.0165 memory: 17087 grad_norm: 6.9759 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7586 loss: 0.7586 2022/08/05 08:09:50 - mmengine - INFO - Epoch(train) [204][500/1879] lr: 1.0000e-04 eta: 11:54:53 time: 0.4310 data_time: 0.0146 memory: 17087 grad_norm: 6.9205 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8498 loss: 0.8498 2022/08/05 08:09:58 - mmengine - INFO - Epoch(train) [204][520/1879] lr: 1.0000e-04 eta: 11:54:44 time: 0.4331 data_time: 0.0169 memory: 17087 grad_norm: 6.9114 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7976 loss: 0.7976 2022/08/05 08:10:07 - mmengine - INFO - Epoch(train) [204][540/1879] lr: 1.0000e-04 eta: 11:54:36 time: 0.4302 data_time: 0.0149 memory: 17087 grad_norm: 6.8552 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6719 loss: 0.6719 2022/08/05 08:10:16 - mmengine - INFO - Epoch(train) [204][560/1879] lr: 1.0000e-04 eta: 11:54:27 time: 0.4399 data_time: 0.0188 memory: 17087 grad_norm: 6.6972 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7542 loss: 0.7542 2022/08/05 08:10:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 08:10:24 - mmengine - INFO - Epoch(train) [204][580/1879] lr: 1.0000e-04 eta: 11:54:18 time: 0.4297 data_time: 0.0163 memory: 17087 grad_norm: 6.8618 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8900 loss: 0.8900 2022/08/05 08:10:33 - mmengine - INFO - Epoch(train) [204][600/1879] lr: 1.0000e-04 eta: 11:54:10 time: 0.4302 data_time: 0.0157 memory: 17087 grad_norm: 6.7695 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7928 loss: 0.7928 2022/08/05 08:10:42 - mmengine - INFO - Epoch(train) [204][620/1879] lr: 1.0000e-04 eta: 11:54:01 time: 0.4447 data_time: 0.0163 memory: 17087 grad_norm: 6.9213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9464 loss: 0.9464 2022/08/05 08:10:50 - mmengine - INFO - Epoch(train) [204][640/1879] lr: 1.0000e-04 eta: 11:53:53 time: 0.4310 data_time: 0.0159 memory: 17087 grad_norm: 6.7528 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8349 loss: 0.8349 2022/08/05 08:11:00 - mmengine - INFO - Epoch(train) [204][660/1879] lr: 1.0000e-04 eta: 11:53:44 time: 0.4522 data_time: 0.0154 memory: 17087 grad_norm: 6.9548 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7678 loss: 0.7678 2022/08/05 08:11:08 - mmengine - INFO - Epoch(train) [204][680/1879] lr: 1.0000e-04 eta: 11:53:35 time: 0.4310 data_time: 0.0167 memory: 17087 grad_norm: 7.2282 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7289 loss: 0.7289 2022/08/05 08:11:17 - mmengine - INFO - Epoch(train) [204][700/1879] lr: 1.0000e-04 eta: 11:53:27 time: 0.4321 data_time: 0.0164 memory: 17087 grad_norm: 6.9828 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8766 loss: 0.8766 2022/08/05 08:11:26 - mmengine - INFO - Epoch(train) [204][720/1879] lr: 1.0000e-04 eta: 11:53:18 time: 0.4409 data_time: 0.0178 memory: 17087 grad_norm: 6.9589 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7523 loss: 0.7523 2022/08/05 08:11:34 - mmengine - INFO - Epoch(train) [204][740/1879] lr: 1.0000e-04 eta: 11:53:09 time: 0.4294 data_time: 0.0144 memory: 17087 grad_norm: 6.9029 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7898 loss: 0.7898 2022/08/05 08:11:43 - mmengine - INFO - Epoch(train) [204][760/1879] lr: 1.0000e-04 eta: 11:53:01 time: 0.4304 data_time: 0.0163 memory: 17087 grad_norm: 6.8503 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7195 loss: 0.7195 2022/08/05 08:11:52 - mmengine - INFO - Epoch(train) [204][780/1879] lr: 1.0000e-04 eta: 11:52:52 time: 0.4621 data_time: 0.0217 memory: 17087 grad_norm: 7.0270 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8921 loss: 0.8921 2022/08/05 08:12:01 - mmengine - INFO - Epoch(train) [204][800/1879] lr: 1.0000e-04 eta: 11:52:44 time: 0.4418 data_time: 0.0168 memory: 17087 grad_norm: 7.2637 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6547 loss: 0.6547 2022/08/05 08:12:10 - mmengine - INFO - Epoch(train) [204][820/1879] lr: 1.0000e-04 eta: 11:52:35 time: 0.4318 data_time: 0.0138 memory: 17087 grad_norm: 7.0016 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8741 loss: 0.8741 2022/08/05 08:12:18 - mmengine - INFO - Epoch(train) [204][840/1879] lr: 1.0000e-04 eta: 11:52:26 time: 0.4340 data_time: 0.0191 memory: 17087 grad_norm: 7.0591 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8978 loss: 0.8978 2022/08/05 08:12:27 - mmengine - INFO - Epoch(train) [204][860/1879] lr: 1.0000e-04 eta: 11:52:18 time: 0.4363 data_time: 0.0156 memory: 17087 grad_norm: 7.0493 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8419 loss: 0.8419 2022/08/05 08:12:36 - mmengine - INFO - Epoch(train) [204][880/1879] lr: 1.0000e-04 eta: 11:52:09 time: 0.4342 data_time: 0.0180 memory: 17087 grad_norm: 6.6143 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7936 loss: 0.7936 2022/08/05 08:12:44 - mmengine - INFO - Epoch(train) [204][900/1879] lr: 1.0000e-04 eta: 11:52:00 time: 0.4306 data_time: 0.0146 memory: 17087 grad_norm: 6.9998 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9679 loss: 0.9679 2022/08/05 08:12:53 - mmengine - INFO - Epoch(train) [204][920/1879] lr: 1.0000e-04 eta: 11:51:52 time: 0.4355 data_time: 0.0169 memory: 17087 grad_norm: 6.9887 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8883 loss: 0.8883 2022/08/05 08:13:02 - mmengine - INFO - Epoch(train) [204][940/1879] lr: 1.0000e-04 eta: 11:51:43 time: 0.4482 data_time: 0.0162 memory: 17087 grad_norm: 7.1489 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9606 loss: 0.9606 2022/08/05 08:13:11 - mmengine - INFO - Epoch(train) [204][960/1879] lr: 1.0000e-04 eta: 11:51:34 time: 0.4343 data_time: 0.0156 memory: 17087 grad_norm: 7.6499 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9318 loss: 0.9318 2022/08/05 08:13:20 - mmengine - INFO - Epoch(train) [204][980/1879] lr: 1.0000e-04 eta: 11:51:26 time: 0.4453 data_time: 0.0154 memory: 17087 grad_norm: 6.7644 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8351 loss: 0.8351 2022/08/05 08:13:29 - mmengine - INFO - Epoch(train) [204][1000/1879] lr: 1.0000e-04 eta: 11:51:17 time: 0.4360 data_time: 0.0201 memory: 17087 grad_norm: 7.1784 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9493 loss: 0.9493 2022/08/05 08:13:38 - mmengine - INFO - Epoch(train) [204][1020/1879] lr: 1.0000e-04 eta: 11:51:09 time: 0.4475 data_time: 0.0157 memory: 17087 grad_norm: 7.0123 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8450 loss: 0.8450 2022/08/05 08:13:46 - mmengine - INFO - Epoch(train) [204][1040/1879] lr: 1.0000e-04 eta: 11:51:00 time: 0.4342 data_time: 0.0158 memory: 17087 grad_norm: 6.8540 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8149 loss: 0.8149 2022/08/05 08:13:55 - mmengine - INFO - Epoch(train) [204][1060/1879] lr: 1.0000e-04 eta: 11:50:51 time: 0.4293 data_time: 0.0163 memory: 17087 grad_norm: 7.1194 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7360 loss: 0.7360 2022/08/05 08:14:04 - mmengine - INFO - Epoch(train) [204][1080/1879] lr: 1.0000e-04 eta: 11:50:43 time: 0.4348 data_time: 0.0179 memory: 17087 grad_norm: 7.0032 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6726 loss: 0.6726 2022/08/05 08:14:12 - mmengine - INFO - Epoch(train) [204][1100/1879] lr: 1.0000e-04 eta: 11:50:34 time: 0.4326 data_time: 0.0172 memory: 17087 grad_norm: 6.8134 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8110 loss: 0.8110 2022/08/05 08:14:21 - mmengine - INFO - Epoch(train) [204][1120/1879] lr: 1.0000e-04 eta: 11:50:25 time: 0.4343 data_time: 0.0179 memory: 17087 grad_norm: 6.9567 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8519 loss: 0.8519 2022/08/05 08:14:30 - mmengine - INFO - Epoch(train) [204][1140/1879] lr: 1.0000e-04 eta: 11:50:17 time: 0.4354 data_time: 0.0172 memory: 17087 grad_norm: 6.6461 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7267 loss: 0.7267 2022/08/05 08:14:38 - mmengine - INFO - Epoch(train) [204][1160/1879] lr: 1.0000e-04 eta: 11:50:08 time: 0.4356 data_time: 0.0220 memory: 17087 grad_norm: 6.8493 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9156 loss: 0.9156 2022/08/05 08:14:47 - mmengine - INFO - Epoch(train) [204][1180/1879] lr: 1.0000e-04 eta: 11:49:59 time: 0.4343 data_time: 0.0152 memory: 17087 grad_norm: 6.8919 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7253 loss: 0.7253 2022/08/05 08:14:56 - mmengine - INFO - Epoch(train) [204][1200/1879] lr: 1.0000e-04 eta: 11:49:51 time: 0.4548 data_time: 0.0171 memory: 17087 grad_norm: 7.0130 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7206 loss: 0.7206 2022/08/05 08:15:05 - mmengine - INFO - Epoch(train) [204][1220/1879] lr: 1.0000e-04 eta: 11:49:42 time: 0.4307 data_time: 0.0169 memory: 17087 grad_norm: 7.1794 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8696 loss: 0.8696 2022/08/05 08:15:14 - mmengine - INFO - Epoch(train) [204][1240/1879] lr: 1.0000e-04 eta: 11:49:33 time: 0.4350 data_time: 0.0202 memory: 17087 grad_norm: 7.0116 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6599 loss: 0.6599 2022/08/05 08:15:22 - mmengine - INFO - Epoch(train) [204][1260/1879] lr: 1.0000e-04 eta: 11:49:25 time: 0.4345 data_time: 0.0158 memory: 17087 grad_norm: 6.8158 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8130 loss: 0.8130 2022/08/05 08:15:31 - mmengine - INFO - Epoch(train) [204][1280/1879] lr: 1.0000e-04 eta: 11:49:16 time: 0.4397 data_time: 0.0164 memory: 17087 grad_norm: 7.2171 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8986 loss: 0.8986 2022/08/05 08:15:40 - mmengine - INFO - Epoch(train) [204][1300/1879] lr: 1.0000e-04 eta: 11:49:08 time: 0.4319 data_time: 0.0157 memory: 17087 grad_norm: 6.9323 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7996 loss: 0.7996 2022/08/05 08:15:49 - mmengine - INFO - Epoch(train) [204][1320/1879] lr: 1.0000e-04 eta: 11:48:59 time: 0.4385 data_time: 0.0164 memory: 17087 grad_norm: 7.0048 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9917 loss: 0.9917 2022/08/05 08:15:57 - mmengine - INFO - Epoch(train) [204][1340/1879] lr: 1.0000e-04 eta: 11:48:50 time: 0.4317 data_time: 0.0165 memory: 17087 grad_norm: 6.8786 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6960 loss: 0.6960 2022/08/05 08:16:06 - mmengine - INFO - Epoch(train) [204][1360/1879] lr: 1.0000e-04 eta: 11:48:42 time: 0.4348 data_time: 0.0177 memory: 17087 grad_norm: 7.1530 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8227 loss: 0.8227 2022/08/05 08:16:15 - mmengine - INFO - Epoch(train) [204][1380/1879] lr: 1.0000e-04 eta: 11:48:33 time: 0.4275 data_time: 0.0145 memory: 17087 grad_norm: 7.0184 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8267 loss: 0.8267 2022/08/05 08:16:23 - mmengine - INFO - Epoch(train) [204][1400/1879] lr: 1.0000e-04 eta: 11:48:24 time: 0.4321 data_time: 0.0175 memory: 17087 grad_norm: 7.0411 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7858 loss: 0.7858 2022/08/05 08:16:32 - mmengine - INFO - Epoch(train) [204][1420/1879] lr: 1.0000e-04 eta: 11:48:16 time: 0.4300 data_time: 0.0154 memory: 17087 grad_norm: 6.9426 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8158 loss: 0.8158 2022/08/05 08:16:41 - mmengine - INFO - Epoch(train) [204][1440/1879] lr: 1.0000e-04 eta: 11:48:07 time: 0.4436 data_time: 0.0160 memory: 17087 grad_norm: 7.2522 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8895 loss: 0.8895 2022/08/05 08:16:49 - mmengine - INFO - Epoch(train) [204][1460/1879] lr: 1.0000e-04 eta: 11:47:58 time: 0.4297 data_time: 0.0149 memory: 17087 grad_norm: 7.1277 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8356 loss: 0.8356 2022/08/05 08:16:58 - mmengine - INFO - Epoch(train) [204][1480/1879] lr: 1.0000e-04 eta: 11:47:50 time: 0.4372 data_time: 0.0214 memory: 17087 grad_norm: 7.0045 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7402 loss: 0.7402 2022/08/05 08:17:07 - mmengine - INFO - Epoch(train) [204][1500/1879] lr: 1.0000e-04 eta: 11:47:41 time: 0.4296 data_time: 0.0144 memory: 17087 grad_norm: 7.0683 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8702 loss: 0.8702 2022/08/05 08:17:15 - mmengine - INFO - Epoch(train) [204][1520/1879] lr: 1.0000e-04 eta: 11:47:32 time: 0.4319 data_time: 0.0165 memory: 17087 grad_norm: 7.1433 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9225 loss: 0.9225 2022/08/05 08:17:24 - mmengine - INFO - Epoch(train) [204][1540/1879] lr: 1.0000e-04 eta: 11:47:24 time: 0.4444 data_time: 0.0147 memory: 17087 grad_norm: 6.9186 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8459 loss: 0.8459 2022/08/05 08:17:33 - mmengine - INFO - Epoch(train) [204][1560/1879] lr: 1.0000e-04 eta: 11:47:15 time: 0.4343 data_time: 0.0204 memory: 17087 grad_norm: 7.2274 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6950 loss: 0.6950 2022/08/05 08:17:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 08:17:42 - mmengine - INFO - Epoch(train) [204][1580/1879] lr: 1.0000e-04 eta: 11:47:07 time: 0.4472 data_time: 0.0158 memory: 17087 grad_norm: 7.0217 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8116 loss: 0.8116 2022/08/05 08:17:51 - mmengine - INFO - Epoch(train) [204][1600/1879] lr: 1.0000e-04 eta: 11:46:58 time: 0.4311 data_time: 0.0165 memory: 17087 grad_norm: 6.8856 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9368 loss: 0.9368 2022/08/05 08:17:59 - mmengine - INFO - Epoch(train) [204][1620/1879] lr: 1.0000e-04 eta: 11:46:49 time: 0.4395 data_time: 0.0170 memory: 17087 grad_norm: 7.1399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7125 loss: 0.7125 2022/08/05 08:18:08 - mmengine - INFO - Epoch(train) [204][1640/1879] lr: 1.0000e-04 eta: 11:46:41 time: 0.4306 data_time: 0.0163 memory: 17087 grad_norm: 6.9750 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7611 loss: 0.7611 2022/08/05 08:18:17 - mmengine - INFO - Epoch(train) [204][1660/1879] lr: 1.0000e-04 eta: 11:46:32 time: 0.4372 data_time: 0.0221 memory: 17087 grad_norm: 7.1177 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8024 loss: 0.8024 2022/08/05 08:18:25 - mmengine - INFO - Epoch(train) [204][1680/1879] lr: 1.0000e-04 eta: 11:46:23 time: 0.4322 data_time: 0.0166 memory: 17087 grad_norm: 7.1292 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9267 loss: 0.9267 2022/08/05 08:18:34 - mmengine - INFO - Epoch(train) [204][1700/1879] lr: 1.0000e-04 eta: 11:46:15 time: 0.4452 data_time: 0.0155 memory: 17087 grad_norm: 7.0551 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7886 loss: 0.7886 2022/08/05 08:18:43 - mmengine - INFO - Epoch(train) [204][1720/1879] lr: 1.0000e-04 eta: 11:46:06 time: 0.4345 data_time: 0.0153 memory: 17087 grad_norm: 7.1952 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0341 loss: 1.0341 2022/08/05 08:18:52 - mmengine - INFO - Epoch(train) [204][1740/1879] lr: 1.0000e-04 eta: 11:45:57 time: 0.4387 data_time: 0.0220 memory: 17087 grad_norm: 7.0146 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8787 loss: 0.8787 2022/08/05 08:19:01 - mmengine - INFO - Epoch(train) [204][1760/1879] lr: 1.0000e-04 eta: 11:45:49 time: 0.4349 data_time: 0.0163 memory: 17087 grad_norm: 7.0739 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7517 loss: 0.7517 2022/08/05 08:19:09 - mmengine - INFO - Epoch(train) [204][1780/1879] lr: 1.0000e-04 eta: 11:45:40 time: 0.4311 data_time: 0.0165 memory: 17087 grad_norm: 7.2440 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8560 loss: 0.8560 2022/08/05 08:19:18 - mmengine - INFO - Epoch(train) [204][1800/1879] lr: 1.0000e-04 eta: 11:45:31 time: 0.4449 data_time: 0.0156 memory: 17087 grad_norm: 7.0057 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0437 loss: 1.0437 2022/08/05 08:19:27 - mmengine - INFO - Epoch(train) [204][1820/1879] lr: 1.0000e-04 eta: 11:45:23 time: 0.4390 data_time: 0.0159 memory: 17087 grad_norm: 7.0600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8729 loss: 0.8729 2022/08/05 08:19:36 - mmengine - INFO - Epoch(train) [204][1840/1879] lr: 1.0000e-04 eta: 11:45:14 time: 0.4308 data_time: 0.0150 memory: 17087 grad_norm: 7.2714 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7522 loss: 0.7522 2022/08/05 08:19:44 - mmengine - INFO - Epoch(train) [204][1860/1879] lr: 1.0000e-04 eta: 11:45:05 time: 0.4292 data_time: 0.0151 memory: 17087 grad_norm: 7.0788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8226 loss: 0.8226 2022/08/05 08:19:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 08:19:52 - mmengine - INFO - Epoch(train) [204][1879/1879] lr: 1.0000e-04 eta: 11:45:05 time: 0.4282 data_time: 0.0141 memory: 17087 grad_norm: 7.2535 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8002 loss: 0.8002 2022/08/05 08:19:52 - mmengine - INFO - Saving checkpoint at 204 epochs 2022/08/05 08:20:07 - mmengine - INFO - Epoch(train) [205][20/1879] lr: 1.0000e-04 eta: 11:44:47 time: 0.5502 data_time: 0.1029 memory: 17087 grad_norm: 7.0090 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9038 loss: 0.9038 2022/08/05 08:20:16 - mmengine - INFO - Epoch(train) [205][40/1879] lr: 1.0000e-04 eta: 11:44:38 time: 0.4314 data_time: 0.0167 memory: 17087 grad_norm: 6.9266 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8147 loss: 0.8147 2022/08/05 08:20:25 - mmengine - INFO - Epoch(train) [205][60/1879] lr: 1.0000e-04 eta: 11:44:30 time: 0.4309 data_time: 0.0141 memory: 17087 grad_norm: 7.0734 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8801 loss: 0.8801 2022/08/05 08:20:33 - mmengine - INFO - Epoch(train) [205][80/1879] lr: 1.0000e-04 eta: 11:44:21 time: 0.4363 data_time: 0.0169 memory: 17087 grad_norm: 7.2828 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9060 loss: 0.9060 2022/08/05 08:20:42 - mmengine - INFO - Epoch(train) [205][100/1879] lr: 1.0000e-04 eta: 11:44:12 time: 0.4313 data_time: 0.0158 memory: 17087 grad_norm: 6.9433 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8465 loss: 0.8465 2022/08/05 08:20:51 - mmengine - INFO - Epoch(train) [205][120/1879] lr: 1.0000e-04 eta: 11:44:04 time: 0.4690 data_time: 0.0179 memory: 17087 grad_norm: 6.8383 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7813 loss: 0.7813 2022/08/05 08:21:00 - mmengine - INFO - Epoch(train) [205][140/1879] lr: 1.0000e-04 eta: 11:43:55 time: 0.4307 data_time: 0.0154 memory: 17087 grad_norm: 6.9713 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8088 loss: 0.8088 2022/08/05 08:21:09 - mmengine - INFO - Epoch(train) [205][160/1879] lr: 1.0000e-04 eta: 11:43:47 time: 0.4558 data_time: 0.0182 memory: 17087 grad_norm: 7.0159 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8248 loss: 0.8248 2022/08/05 08:21:18 - mmengine - INFO - Epoch(train) [205][180/1879] lr: 1.0000e-04 eta: 11:43:38 time: 0.4318 data_time: 0.0151 memory: 17087 grad_norm: 7.0716 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9491 loss: 0.9491 2022/08/05 08:21:27 - mmengine - INFO - Epoch(train) [205][200/1879] lr: 1.0000e-04 eta: 11:43:30 time: 0.4423 data_time: 0.0170 memory: 17087 grad_norm: 6.8482 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7259 loss: 0.7259 2022/08/05 08:21:35 - mmengine - INFO - Epoch(train) [205][220/1879] lr: 1.0000e-04 eta: 11:43:21 time: 0.4289 data_time: 0.0158 memory: 17087 grad_norm: 6.6685 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7371 loss: 0.7371 2022/08/05 08:21:44 - mmengine - INFO - Epoch(train) [205][240/1879] lr: 1.0000e-04 eta: 11:43:12 time: 0.4310 data_time: 0.0157 memory: 17087 grad_norm: 7.2251 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8586 loss: 0.8586 2022/08/05 08:21:53 - mmengine - INFO - Epoch(train) [205][260/1879] lr: 1.0000e-04 eta: 11:43:04 time: 0.4410 data_time: 0.0167 memory: 17087 grad_norm: 7.1496 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0152 loss: 1.0152 2022/08/05 08:22:01 - mmengine - INFO - Epoch(train) [205][280/1879] lr: 1.0000e-04 eta: 11:42:55 time: 0.4317 data_time: 0.0187 memory: 17087 grad_norm: 7.0576 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6655 loss: 0.6655 2022/08/05 08:22:10 - mmengine - INFO - Epoch(train) [205][300/1879] lr: 1.0000e-04 eta: 11:42:46 time: 0.4405 data_time: 0.0148 memory: 17087 grad_norm: 6.6587 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8610 loss: 0.8610 2022/08/05 08:22:19 - mmengine - INFO - Epoch(train) [205][320/1879] lr: 1.0000e-04 eta: 11:42:38 time: 0.4296 data_time: 0.0155 memory: 17087 grad_norm: 7.0368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8678 loss: 0.8678 2022/08/05 08:22:28 - mmengine - INFO - Epoch(train) [205][340/1879] lr: 1.0000e-04 eta: 11:42:29 time: 0.4421 data_time: 0.0171 memory: 17087 grad_norm: 6.7345 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7616 loss: 0.7616 2022/08/05 08:22:36 - mmengine - INFO - Epoch(train) [205][360/1879] lr: 1.0000e-04 eta: 11:42:20 time: 0.4300 data_time: 0.0160 memory: 17087 grad_norm: 6.7397 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7663 loss: 0.7663 2022/08/05 08:22:45 - mmengine - INFO - Epoch(train) [205][380/1879] lr: 1.0000e-04 eta: 11:42:12 time: 0.4301 data_time: 0.0151 memory: 17087 grad_norm: 7.1654 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8005 loss: 0.8005 2022/08/05 08:22:54 - mmengine - INFO - Epoch(train) [205][400/1879] lr: 1.0000e-04 eta: 11:42:03 time: 0.4323 data_time: 0.0170 memory: 17087 grad_norm: 6.9225 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9328 loss: 0.9328 2022/08/05 08:23:02 - mmengine - INFO - Epoch(train) [205][420/1879] lr: 1.0000e-04 eta: 11:41:54 time: 0.4400 data_time: 0.0170 memory: 17087 grad_norm: 6.8351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7319 loss: 0.7319 2022/08/05 08:23:11 - mmengine - INFO - Epoch(train) [205][440/1879] lr: 1.0000e-04 eta: 11:41:46 time: 0.4301 data_time: 0.0157 memory: 17087 grad_norm: 7.1146 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8289 loss: 0.8289 2022/08/05 08:23:20 - mmengine - INFO - Epoch(train) [205][460/1879] lr: 1.0000e-04 eta: 11:41:37 time: 0.4496 data_time: 0.0170 memory: 17087 grad_norm: 6.9445 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6050 loss: 0.6050 2022/08/05 08:23:29 - mmengine - INFO - Epoch(train) [205][480/1879] lr: 1.0000e-04 eta: 11:41:29 time: 0.4442 data_time: 0.0159 memory: 17087 grad_norm: 7.1356 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7287 loss: 0.7287 2022/08/05 08:23:38 - mmengine - INFO - Epoch(train) [205][500/1879] lr: 1.0000e-04 eta: 11:41:20 time: 0.4499 data_time: 0.0163 memory: 17087 grad_norm: 7.0141 top1_acc: 0.5000 top5_acc: 0.6250 loss_cls: 0.9222 loss: 0.9222 2022/08/05 08:23:47 - mmengine - INFO - Epoch(train) [205][520/1879] lr: 1.0000e-04 eta: 11:41:11 time: 0.4330 data_time: 0.0157 memory: 17087 grad_norm: 6.8645 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7000 loss: 0.7000 2022/08/05 08:23:55 - mmengine - INFO - Epoch(train) [205][540/1879] lr: 1.0000e-04 eta: 11:41:03 time: 0.4311 data_time: 0.0161 memory: 17087 grad_norm: 6.7781 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.7674 loss: 0.7674 2022/08/05 08:24:04 - mmengine - INFO - Epoch(train) [205][560/1879] lr: 1.0000e-04 eta: 11:40:54 time: 0.4302 data_time: 0.0155 memory: 17087 grad_norm: 6.8687 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8730 loss: 0.8730 2022/08/05 08:24:13 - mmengine - INFO - Epoch(train) [205][580/1879] lr: 1.0000e-04 eta: 11:40:45 time: 0.4419 data_time: 0.0168 memory: 17087 grad_norm: 7.0121 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8887 loss: 0.8887 2022/08/05 08:24:22 - mmengine - INFO - Epoch(train) [205][600/1879] lr: 1.0000e-04 eta: 11:40:37 time: 0.4323 data_time: 0.0170 memory: 17087 grad_norm: 6.9162 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8868 loss: 0.8868 2022/08/05 08:24:31 - mmengine - INFO - Epoch(train) [205][620/1879] lr: 1.0000e-04 eta: 11:40:28 time: 0.4536 data_time: 0.0163 memory: 17087 grad_norm: 6.8347 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8622 loss: 0.8622 2022/08/05 08:24:39 - mmengine - INFO - Epoch(train) [205][640/1879] lr: 1.0000e-04 eta: 11:40:19 time: 0.4332 data_time: 0.0183 memory: 17087 grad_norm: 7.0000 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9087 loss: 0.9087 2022/08/05 08:24:48 - mmengine - INFO - Epoch(train) [205][660/1879] lr: 1.0000e-04 eta: 11:40:11 time: 0.4359 data_time: 0.0168 memory: 17087 grad_norm: 6.9925 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6882 loss: 0.6882 2022/08/05 08:24:57 - mmengine - INFO - Epoch(train) [205][680/1879] lr: 1.0000e-04 eta: 11:40:02 time: 0.4312 data_time: 0.0172 memory: 17087 grad_norm: 7.0103 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9528 loss: 0.9528 2022/08/05 08:24:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 08:25:05 - mmengine - INFO - Epoch(train) [205][700/1879] lr: 1.0000e-04 eta: 11:39:53 time: 0.4302 data_time: 0.0156 memory: 17087 grad_norm: 6.7456 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8696 loss: 0.8696 2022/08/05 08:25:14 - mmengine - INFO - Epoch(train) [205][720/1879] lr: 1.0000e-04 eta: 11:39:45 time: 0.4354 data_time: 0.0161 memory: 17087 grad_norm: 6.9612 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8220 loss: 0.8220 2022/08/05 08:25:23 - mmengine - INFO - Epoch(train) [205][740/1879] lr: 1.0000e-04 eta: 11:39:36 time: 0.4313 data_time: 0.0158 memory: 17087 grad_norm: 6.8149 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7199 loss: 0.7199 2022/08/05 08:25:31 - mmengine - INFO - Epoch(train) [205][760/1879] lr: 1.0000e-04 eta: 11:39:28 time: 0.4323 data_time: 0.0175 memory: 17087 grad_norm: 6.9833 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9061 loss: 0.9061 2022/08/05 08:25:40 - mmengine - INFO - Epoch(train) [205][780/1879] lr: 1.0000e-04 eta: 11:39:19 time: 0.4282 data_time: 0.0137 memory: 17087 grad_norm: 6.9771 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6820 loss: 0.6820 2022/08/05 08:25:49 - mmengine - INFO - Epoch(train) [205][800/1879] lr: 1.0000e-04 eta: 11:39:10 time: 0.4376 data_time: 0.0172 memory: 17087 grad_norm: 7.0482 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7769 loss: 0.7769 2022/08/05 08:25:57 - mmengine - INFO - Epoch(train) [205][820/1879] lr: 1.0000e-04 eta: 11:39:02 time: 0.4309 data_time: 0.0173 memory: 17087 grad_norm: 6.8559 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7867 loss: 0.7867 2022/08/05 08:26:06 - mmengine - INFO - Epoch(train) [205][840/1879] lr: 1.0000e-04 eta: 11:38:53 time: 0.4314 data_time: 0.0157 memory: 17087 grad_norm: 6.9020 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8728 loss: 0.8728 2022/08/05 08:26:15 - mmengine - INFO - Epoch(train) [205][860/1879] lr: 1.0000e-04 eta: 11:38:44 time: 0.4300 data_time: 0.0148 memory: 17087 grad_norm: 6.7038 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7574 loss: 0.7574 2022/08/05 08:26:23 - mmengine - INFO - Epoch(train) [205][880/1879] lr: 1.0000e-04 eta: 11:38:36 time: 0.4315 data_time: 0.0163 memory: 17087 grad_norm: 7.1300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9642 loss: 0.9642 2022/08/05 08:26:32 - mmengine - INFO - Epoch(train) [205][900/1879] lr: 1.0000e-04 eta: 11:38:27 time: 0.4303 data_time: 0.0159 memory: 17087 grad_norm: 6.5031 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7467 loss: 0.7467 2022/08/05 08:26:41 - mmengine - INFO - Epoch(train) [205][920/1879] lr: 1.0000e-04 eta: 11:38:18 time: 0.4315 data_time: 0.0162 memory: 17087 grad_norm: 7.0664 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9456 loss: 0.9456 2022/08/05 08:26:50 - mmengine - INFO - Epoch(train) [205][940/1879] lr: 1.0000e-04 eta: 11:38:10 time: 0.4534 data_time: 0.0167 memory: 17087 grad_norm: 6.7737 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8479 loss: 0.8479 2022/08/05 08:26:58 - mmengine - INFO - Epoch(train) [205][960/1879] lr: 1.0000e-04 eta: 11:38:01 time: 0.4298 data_time: 0.0162 memory: 17087 grad_norm: 7.0216 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7611 loss: 0.7611 2022/08/05 08:27:07 - mmengine - INFO - Epoch(train) [205][980/1879] lr: 1.0000e-04 eta: 11:37:52 time: 0.4506 data_time: 0.0159 memory: 17087 grad_norm: 7.0553 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8649 loss: 0.8649 2022/08/05 08:27:16 - mmengine - INFO - Epoch(train) [205][1000/1879] lr: 1.0000e-04 eta: 11:37:44 time: 0.4287 data_time: 0.0150 memory: 17087 grad_norm: 7.0071 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6846 loss: 0.6846 2022/08/05 08:27:25 - mmengine - INFO - Epoch(train) [205][1020/1879] lr: 1.0000e-04 eta: 11:37:35 time: 0.4301 data_time: 0.0142 memory: 17087 grad_norm: 6.9278 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8066 loss: 0.8066 2022/08/05 08:27:33 - mmengine - INFO - Epoch(train) [205][1040/1879] lr: 1.0000e-04 eta: 11:37:26 time: 0.4431 data_time: 0.0190 memory: 17087 grad_norm: 7.0699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9418 loss: 0.9418 2022/08/05 08:27:42 - mmengine - INFO - Epoch(train) [205][1060/1879] lr: 1.0000e-04 eta: 11:37:18 time: 0.4290 data_time: 0.0146 memory: 17087 grad_norm: 7.2293 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9020 loss: 0.9020 2022/08/05 08:27:51 - mmengine - INFO - Epoch(train) [205][1080/1879] lr: 1.0000e-04 eta: 11:37:09 time: 0.4532 data_time: 0.0193 memory: 17087 grad_norm: 7.2681 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9821 loss: 0.9821 2022/08/05 08:28:00 - mmengine - INFO - Epoch(train) [205][1100/1879] lr: 1.0000e-04 eta: 11:37:01 time: 0.4303 data_time: 0.0145 memory: 17087 grad_norm: 7.0066 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9733 loss: 0.9733 2022/08/05 08:28:08 - mmengine - INFO - Epoch(train) [205][1120/1879] lr: 1.0000e-04 eta: 11:36:52 time: 0.4344 data_time: 0.0169 memory: 17087 grad_norm: 7.0844 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9116 loss: 0.9116 2022/08/05 08:28:17 - mmengine - INFO - Epoch(train) [205][1140/1879] lr: 1.0000e-04 eta: 11:36:43 time: 0.4320 data_time: 0.0155 memory: 17087 grad_norm: 7.0336 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7896 loss: 0.7896 2022/08/05 08:28:26 - mmengine - INFO - Epoch(train) [205][1160/1879] lr: 1.0000e-04 eta: 11:36:35 time: 0.4293 data_time: 0.0148 memory: 17087 grad_norm: 7.0118 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9567 loss: 0.9567 2022/08/05 08:28:35 - mmengine - INFO - Epoch(train) [205][1180/1879] lr: 1.0000e-04 eta: 11:36:26 time: 0.4479 data_time: 0.0163 memory: 17087 grad_norm: 6.7261 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8159 loss: 0.8159 2022/08/05 08:28:43 - mmengine - INFO - Epoch(train) [205][1200/1879] lr: 1.0000e-04 eta: 11:36:17 time: 0.4321 data_time: 0.0167 memory: 17087 grad_norm: 6.9323 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7565 loss: 0.7565 2022/08/05 08:28:52 - mmengine - INFO - Epoch(train) [205][1220/1879] lr: 1.0000e-04 eta: 11:36:09 time: 0.4378 data_time: 0.0159 memory: 17087 grad_norm: 7.1843 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7554 loss: 0.7554 2022/08/05 08:29:01 - mmengine - INFO - Epoch(train) [205][1240/1879] lr: 1.0000e-04 eta: 11:36:00 time: 0.4333 data_time: 0.0163 memory: 17087 grad_norm: 7.1801 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8527 loss: 0.8527 2022/08/05 08:29:10 - mmengine - INFO - Epoch(train) [205][1260/1879] lr: 1.0000e-04 eta: 11:35:51 time: 0.4495 data_time: 0.0159 memory: 17087 grad_norm: 6.8804 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8652 loss: 0.8652 2022/08/05 08:29:19 - mmengine - INFO - Epoch(train) [205][1280/1879] lr: 1.0000e-04 eta: 11:35:43 time: 0.4345 data_time: 0.0163 memory: 17087 grad_norm: 7.0123 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8116 loss: 0.8116 2022/08/05 08:29:28 - mmengine - INFO - Epoch(train) [205][1300/1879] lr: 1.0000e-04 eta: 11:35:34 time: 0.4479 data_time: 0.0148 memory: 17087 grad_norm: 6.8581 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7621 loss: 0.7621 2022/08/05 08:29:36 - mmengine - INFO - Epoch(train) [205][1320/1879] lr: 1.0000e-04 eta: 11:35:26 time: 0.4297 data_time: 0.0156 memory: 17087 grad_norm: 7.0197 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8458 loss: 0.8458 2022/08/05 08:29:45 - mmengine - INFO - Epoch(train) [205][1340/1879] lr: 1.0000e-04 eta: 11:35:17 time: 0.4344 data_time: 0.0205 memory: 17087 grad_norm: 7.0226 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9126 loss: 0.9126 2022/08/05 08:29:53 - mmengine - INFO - Epoch(train) [205][1360/1879] lr: 1.0000e-04 eta: 11:35:08 time: 0.4293 data_time: 0.0154 memory: 17087 grad_norm: 6.8415 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8267 loss: 0.8267 2022/08/05 08:30:02 - mmengine - INFO - Epoch(train) [205][1380/1879] lr: 1.0000e-04 eta: 11:35:00 time: 0.4341 data_time: 0.0167 memory: 17087 grad_norm: 7.0646 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7742 loss: 0.7742 2022/08/05 08:30:11 - mmengine - INFO - Epoch(train) [205][1400/1879] lr: 1.0000e-04 eta: 11:34:51 time: 0.4353 data_time: 0.0175 memory: 17087 grad_norm: 6.7646 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7432 loss: 0.7432 2022/08/05 08:30:20 - mmengine - INFO - Epoch(train) [205][1420/1879] lr: 1.0000e-04 eta: 11:34:42 time: 0.4335 data_time: 0.0167 memory: 17087 grad_norm: 6.8285 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9773 loss: 0.9773 2022/08/05 08:30:28 - mmengine - INFO - Epoch(train) [205][1440/1879] lr: 1.0000e-04 eta: 11:34:34 time: 0.4301 data_time: 0.0166 memory: 17087 grad_norm: 6.6381 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7557 loss: 0.7557 2022/08/05 08:30:37 - mmengine - INFO - Epoch(train) [205][1460/1879] lr: 1.0000e-04 eta: 11:34:25 time: 0.4471 data_time: 0.0154 memory: 17087 grad_norm: 7.0769 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7618 loss: 0.7618 2022/08/05 08:30:46 - mmengine - INFO - Epoch(train) [205][1480/1879] lr: 1.0000e-04 eta: 11:34:16 time: 0.4298 data_time: 0.0163 memory: 17087 grad_norm: 7.2156 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8879 loss: 0.8879 2022/08/05 08:30:54 - mmengine - INFO - Epoch(train) [205][1500/1879] lr: 1.0000e-04 eta: 11:34:08 time: 0.4308 data_time: 0.0150 memory: 17087 grad_norm: 6.8294 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7925 loss: 0.7925 2022/08/05 08:31:03 - mmengine - INFO - Epoch(train) [205][1520/1879] lr: 1.0000e-04 eta: 11:33:59 time: 0.4501 data_time: 0.0168 memory: 17087 grad_norm: 6.7979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6533 loss: 0.6533 2022/08/05 08:31:12 - mmengine - INFO - Epoch(train) [205][1540/1879] lr: 1.0000e-04 eta: 11:33:50 time: 0.4300 data_time: 0.0160 memory: 17087 grad_norm: 6.8339 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8914 loss: 0.8914 2022/08/05 08:31:21 - mmengine - INFO - Epoch(train) [205][1560/1879] lr: 1.0000e-04 eta: 11:33:42 time: 0.4341 data_time: 0.0166 memory: 17087 grad_norm: 6.9532 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.7550 loss: 0.7550 2022/08/05 08:31:29 - mmengine - INFO - Epoch(train) [205][1580/1879] lr: 1.0000e-04 eta: 11:33:33 time: 0.4305 data_time: 0.0148 memory: 17087 grad_norm: 7.0404 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8560 loss: 0.8560 2022/08/05 08:31:38 - mmengine - INFO - Epoch(train) [205][1600/1879] lr: 1.0000e-04 eta: 11:33:24 time: 0.4362 data_time: 0.0188 memory: 17087 grad_norm: 7.1222 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8158 loss: 0.8158 2022/08/05 08:31:47 - mmengine - INFO - Epoch(train) [205][1620/1879] lr: 1.0000e-04 eta: 11:33:16 time: 0.4310 data_time: 0.0167 memory: 17087 grad_norm: 6.6331 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8636 loss: 0.8636 2022/08/05 08:31:55 - mmengine - INFO - Epoch(train) [205][1640/1879] lr: 1.0000e-04 eta: 11:33:07 time: 0.4293 data_time: 0.0150 memory: 17087 grad_norm: 7.0256 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8894 loss: 0.8894 2022/08/05 08:32:04 - mmengine - INFO - Epoch(train) [205][1660/1879] lr: 1.0000e-04 eta: 11:32:58 time: 0.4450 data_time: 0.0160 memory: 17087 grad_norm: 6.7848 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7340 loss: 0.7340 2022/08/05 08:32:13 - mmengine - INFO - Epoch(train) [205][1680/1879] lr: 1.0000e-04 eta: 11:32:50 time: 0.4293 data_time: 0.0153 memory: 17087 grad_norm: 7.0793 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8128 loss: 0.8128 2022/08/05 08:32:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 08:32:22 - mmengine - INFO - Epoch(train) [205][1700/1879] lr: 1.0000e-04 eta: 11:32:41 time: 0.4313 data_time: 0.0165 memory: 17087 grad_norm: 7.1487 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8228 loss: 0.8228 2022/08/05 08:32:31 - mmengine - INFO - Epoch(train) [205][1720/1879] lr: 1.0000e-04 eta: 11:32:33 time: 0.4475 data_time: 0.0185 memory: 17087 grad_norm: 6.7495 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7180 loss: 0.7180 2022/08/05 08:32:39 - mmengine - INFO - Epoch(train) [205][1740/1879] lr: 1.0000e-04 eta: 11:32:24 time: 0.4289 data_time: 0.0148 memory: 17087 grad_norm: 7.1165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8718 loss: 0.8718 2022/08/05 08:32:48 - mmengine - INFO - Epoch(train) [205][1760/1879] lr: 1.0000e-04 eta: 11:32:15 time: 0.4477 data_time: 0.0207 memory: 17087 grad_norm: 7.1452 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8051 loss: 0.8051 2022/08/05 08:32:57 - mmengine - INFO - Epoch(train) [205][1780/1879] lr: 1.0000e-04 eta: 11:32:07 time: 0.4304 data_time: 0.0153 memory: 17087 grad_norm: 6.9399 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9122 loss: 0.9122 2022/08/05 08:33:05 - mmengine - INFO - Epoch(train) [205][1800/1879] lr: 1.0000e-04 eta: 11:31:58 time: 0.4345 data_time: 0.0190 memory: 17087 grad_norm: 6.7721 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7819 loss: 0.7819 2022/08/05 08:33:14 - mmengine - INFO - Epoch(train) [205][1820/1879] lr: 1.0000e-04 eta: 11:31:49 time: 0.4407 data_time: 0.0165 memory: 17087 grad_norm: 6.9671 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8950 loss: 0.8950 2022/08/05 08:33:23 - mmengine - INFO - Epoch(train) [205][1840/1879] lr: 1.0000e-04 eta: 11:31:41 time: 0.4320 data_time: 0.0164 memory: 17087 grad_norm: 6.8448 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8592 loss: 0.8592 2022/08/05 08:33:32 - mmengine - INFO - Epoch(train) [205][1860/1879] lr: 1.0000e-04 eta: 11:31:32 time: 0.4365 data_time: 0.0170 memory: 17087 grad_norm: 7.1416 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8518 loss: 0.8518 2022/08/05 08:33:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 08:33:40 - mmengine - INFO - Epoch(train) [205][1879/1879] lr: 1.0000e-04 eta: 11:31:32 time: 0.4150 data_time: 0.0157 memory: 17087 grad_norm: 7.7500 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8606 loss: 0.8606 2022/08/05 08:33:47 - mmengine - INFO - Epoch(val) [205][20/155] eta: 0:00:49 time: 0.3703 data_time: 0.1989 memory: 2821 2022/08/05 08:33:52 - mmengine - INFO - Epoch(val) [205][40/155] eta: 0:00:28 time: 0.2466 data_time: 0.0777 memory: 2821 2022/08/05 08:33:58 - mmengine - INFO - Epoch(val) [205][60/155] eta: 0:00:28 time: 0.3015 data_time: 0.1355 memory: 2821 2022/08/05 08:34:03 - mmengine - INFO - Epoch(val) [205][80/155] eta: 0:00:20 time: 0.2680 data_time: 0.1016 memory: 2821 2022/08/05 08:34:10 - mmengine - INFO - Epoch(val) [205][100/155] eta: 0:00:17 time: 0.3124 data_time: 0.1457 memory: 2821 2022/08/05 08:34:15 - mmengine - INFO - Epoch(val) [205][120/155] eta: 0:00:10 time: 0.2918 data_time: 0.1247 memory: 2821 2022/08/05 08:34:22 - mmengine - INFO - Epoch(val) [205][140/155] eta: 0:00:04 time: 0.3326 data_time: 0.1612 memory: 2821 2022/08/05 08:34:27 - mmengine - INFO - Epoch(val) [205][155/155] acc/top1: 0.6980 acc/top5: 0.8822 acc/mean1: 0.6979 2022/08/05 08:34:38 - mmengine - INFO - Epoch(train) [206][20/1879] lr: 1.0000e-04 eta: 11:31:14 time: 0.5510 data_time: 0.1238 memory: 17087 grad_norm: 6.8710 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8592 loss: 0.8592 2022/08/05 08:34:47 - mmengine - INFO - Epoch(train) [206][40/1879] lr: 1.0000e-04 eta: 11:31:05 time: 0.4311 data_time: 0.0183 memory: 17087 grad_norm: 6.6198 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7405 loss: 0.7405 2022/08/05 08:34:56 - mmengine - INFO - Epoch(train) [206][60/1879] lr: 1.0000e-04 eta: 11:30:56 time: 0.4471 data_time: 0.0134 memory: 17087 grad_norm: 6.7685 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8522 loss: 0.8522 2022/08/05 08:35:04 - mmengine - INFO - Epoch(train) [206][80/1879] lr: 1.0000e-04 eta: 11:30:48 time: 0.4364 data_time: 0.0166 memory: 17087 grad_norm: 6.8116 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9632 loss: 0.9632 2022/08/05 08:35:13 - mmengine - INFO - Epoch(train) [206][100/1879] lr: 1.0000e-04 eta: 11:30:39 time: 0.4390 data_time: 0.0143 memory: 17087 grad_norm: 7.1830 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8817 loss: 0.8817 2022/08/05 08:35:22 - mmengine - INFO - Epoch(train) [206][120/1879] lr: 1.0000e-04 eta: 11:30:31 time: 0.4328 data_time: 0.0175 memory: 17087 grad_norm: 6.7252 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7668 loss: 0.7668 2022/08/05 08:35:30 - mmengine - INFO - Epoch(train) [206][140/1879] lr: 1.0000e-04 eta: 11:30:22 time: 0.4288 data_time: 0.0165 memory: 17087 grad_norm: 7.2495 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0252 loss: 1.0252 2022/08/05 08:35:39 - mmengine - INFO - Epoch(train) [206][160/1879] lr: 1.0000e-04 eta: 11:30:13 time: 0.4426 data_time: 0.0176 memory: 17087 grad_norm: 6.9999 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9607 loss: 0.9607 2022/08/05 08:35:48 - mmengine - INFO - Epoch(train) [206][180/1879] lr: 1.0000e-04 eta: 11:30:05 time: 0.4345 data_time: 0.0176 memory: 17087 grad_norm: 6.9739 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8052 loss: 0.8052 2022/08/05 08:35:57 - mmengine - INFO - Epoch(train) [206][200/1879] lr: 1.0000e-04 eta: 11:29:56 time: 0.4295 data_time: 0.0159 memory: 17087 grad_norm: 6.9192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7666 loss: 0.7666 2022/08/05 08:36:05 - mmengine - INFO - Epoch(train) [206][220/1879] lr: 1.0000e-04 eta: 11:29:47 time: 0.4332 data_time: 0.0148 memory: 17087 grad_norm: 7.1142 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7860 loss: 0.7860 2022/08/05 08:36:14 - mmengine - INFO - Epoch(train) [206][240/1879] lr: 1.0000e-04 eta: 11:29:39 time: 0.4339 data_time: 0.0163 memory: 17087 grad_norm: 6.9438 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8242 loss: 0.8242 2022/08/05 08:36:23 - mmengine - INFO - Epoch(train) [206][260/1879] lr: 1.0000e-04 eta: 11:29:30 time: 0.4604 data_time: 0.0164 memory: 17087 grad_norm: 7.0707 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8281 loss: 0.8281 2022/08/05 08:36:32 - mmengine - INFO - Epoch(train) [206][280/1879] lr: 1.0000e-04 eta: 11:29:21 time: 0.4376 data_time: 0.0164 memory: 17087 grad_norm: 6.9093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8780 loss: 0.8780 2022/08/05 08:36:41 - mmengine - INFO - Epoch(train) [206][300/1879] lr: 1.0000e-04 eta: 11:29:13 time: 0.4362 data_time: 0.0141 memory: 17087 grad_norm: 7.1969 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8286 loss: 0.8286 2022/08/05 08:36:49 - mmengine - INFO - Epoch(train) [206][320/1879] lr: 1.0000e-04 eta: 11:29:04 time: 0.4344 data_time: 0.0170 memory: 17087 grad_norm: 7.2516 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8154 loss: 0.8154 2022/08/05 08:36:58 - mmengine - INFO - Epoch(train) [206][340/1879] lr: 1.0000e-04 eta: 11:28:55 time: 0.4292 data_time: 0.0145 memory: 17087 grad_norm: 6.9108 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8061 loss: 0.8061 2022/08/05 08:37:07 - mmengine - INFO - Epoch(train) [206][360/1879] lr: 1.0000e-04 eta: 11:28:47 time: 0.4323 data_time: 0.0161 memory: 17087 grad_norm: 6.9926 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8362 loss: 0.8362 2022/08/05 08:37:15 - mmengine - INFO - Epoch(train) [206][380/1879] lr: 1.0000e-04 eta: 11:28:38 time: 0.4344 data_time: 0.0161 memory: 17087 grad_norm: 7.0692 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6929 loss: 0.6929 2022/08/05 08:37:24 - mmengine - INFO - Epoch(train) [206][400/1879] lr: 1.0000e-04 eta: 11:28:30 time: 0.4314 data_time: 0.0149 memory: 17087 grad_norm: 7.0231 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9629 loss: 0.9629 2022/08/05 08:37:33 - mmengine - INFO - Epoch(train) [206][420/1879] lr: 1.0000e-04 eta: 11:28:21 time: 0.4332 data_time: 0.0157 memory: 17087 grad_norm: 6.8484 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7815 loss: 0.7815 2022/08/05 08:37:42 - mmengine - INFO - Epoch(train) [206][440/1879] lr: 1.0000e-04 eta: 11:28:12 time: 0.4442 data_time: 0.0169 memory: 17087 grad_norm: 6.9753 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8860 loss: 0.8860 2022/08/05 08:37:50 - mmengine - INFO - Epoch(train) [206][460/1879] lr: 1.0000e-04 eta: 11:28:04 time: 0.4394 data_time: 0.0218 memory: 17087 grad_norm: 6.7806 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7116 loss: 0.7116 2022/08/05 08:37:59 - mmengine - INFO - Epoch(train) [206][480/1879] lr: 1.0000e-04 eta: 11:27:55 time: 0.4498 data_time: 0.0160 memory: 17087 grad_norm: 6.9992 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8280 loss: 0.8280 2022/08/05 08:38:08 - mmengine - INFO - Epoch(train) [206][500/1879] lr: 1.0000e-04 eta: 11:27:46 time: 0.4346 data_time: 0.0201 memory: 17087 grad_norm: 7.0443 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7229 loss: 0.7229 2022/08/05 08:38:17 - mmengine - INFO - Epoch(train) [206][520/1879] lr: 1.0000e-04 eta: 11:27:38 time: 0.4316 data_time: 0.0161 memory: 17087 grad_norm: 7.1611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8501 loss: 0.8501 2022/08/05 08:38:26 - mmengine - INFO - Epoch(train) [206][540/1879] lr: 1.0000e-04 eta: 11:27:29 time: 0.4354 data_time: 0.0153 memory: 17087 grad_norm: 7.0792 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7202 loss: 0.7202 2022/08/05 08:38:34 - mmengine - INFO - Epoch(train) [206][560/1879] lr: 1.0000e-04 eta: 11:27:20 time: 0.4327 data_time: 0.0180 memory: 17087 grad_norm: 6.9769 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7064 loss: 0.7064 2022/08/05 08:38:43 - mmengine - INFO - Epoch(train) [206][580/1879] lr: 1.0000e-04 eta: 11:27:12 time: 0.4312 data_time: 0.0147 memory: 17087 grad_norm: 7.4204 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8713 loss: 0.8713 2022/08/05 08:38:52 - mmengine - INFO - Epoch(train) [206][600/1879] lr: 1.0000e-04 eta: 11:27:03 time: 0.4377 data_time: 0.0187 memory: 17087 grad_norm: 7.0565 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7404 loss: 0.7404 2022/08/05 08:39:00 - mmengine - INFO - Epoch(train) [206][620/1879] lr: 1.0000e-04 eta: 11:26:55 time: 0.4423 data_time: 0.0204 memory: 17087 grad_norm: 7.0664 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8594 loss: 0.8594 2022/08/05 08:39:09 - mmengine - INFO - Epoch(train) [206][640/1879] lr: 1.0000e-04 eta: 11:26:46 time: 0.4485 data_time: 0.0177 memory: 17087 grad_norm: 7.0699 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0131 loss: 1.0131 2022/08/05 08:39:18 - mmengine - INFO - Epoch(train) [206][660/1879] lr: 1.0000e-04 eta: 11:26:37 time: 0.4332 data_time: 0.0145 memory: 17087 grad_norm: 7.0213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8429 loss: 0.8429 2022/08/05 08:39:27 - mmengine - INFO - Epoch(train) [206][680/1879] lr: 1.0000e-04 eta: 11:26:29 time: 0.4325 data_time: 0.0173 memory: 17087 grad_norm: 7.1866 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8244 loss: 0.8244 2022/08/05 08:39:36 - mmengine - INFO - Epoch(train) [206][700/1879] lr: 1.0000e-04 eta: 11:26:20 time: 0.4334 data_time: 0.0173 memory: 17087 grad_norm: 6.7890 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8292 loss: 0.8292 2022/08/05 08:39:44 - mmengine - INFO - Epoch(train) [206][720/1879] lr: 1.0000e-04 eta: 11:26:11 time: 0.4421 data_time: 0.0152 memory: 17087 grad_norm: 6.9865 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7302 loss: 0.7302 2022/08/05 08:39:53 - mmengine - INFO - Epoch(train) [206][740/1879] lr: 1.0000e-04 eta: 11:26:03 time: 0.4433 data_time: 0.0169 memory: 17087 grad_norm: 7.1673 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7263 loss: 0.7263 2022/08/05 08:40:02 - mmengine - INFO - Epoch(train) [206][760/1879] lr: 1.0000e-04 eta: 11:25:54 time: 0.4326 data_time: 0.0153 memory: 17087 grad_norm: 7.0621 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8794 loss: 0.8794 2022/08/05 08:40:11 - mmengine - INFO - Epoch(train) [206][780/1879] lr: 1.0000e-04 eta: 11:25:46 time: 0.4443 data_time: 0.0166 memory: 17087 grad_norm: 6.9208 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8300 loss: 0.8300 2022/08/05 08:40:20 - mmengine - INFO - Epoch(train) [206][800/1879] lr: 1.0000e-04 eta: 11:25:37 time: 0.4396 data_time: 0.0202 memory: 17087 grad_norm: 6.9791 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9008 loss: 0.9008 2022/08/05 08:40:22 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 08:40:28 - mmengine - INFO - Epoch(train) [206][820/1879] lr: 1.0000e-04 eta: 11:25:28 time: 0.4333 data_time: 0.0160 memory: 17087 grad_norm: 6.8960 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9190 loss: 0.9190 2022/08/05 08:40:37 - mmengine - INFO - Epoch(train) [206][840/1879] lr: 1.0000e-04 eta: 11:25:20 time: 0.4303 data_time: 0.0169 memory: 17087 grad_norm: 6.8808 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7995 loss: 0.7995 2022/08/05 08:40:46 - mmengine - INFO - Epoch(train) [206][860/1879] lr: 1.0000e-04 eta: 11:25:11 time: 0.4341 data_time: 0.0153 memory: 17087 grad_norm: 7.0559 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9443 loss: 0.9443 2022/08/05 08:40:54 - mmengine - INFO - Epoch(train) [206][880/1879] lr: 1.0000e-04 eta: 11:25:02 time: 0.4359 data_time: 0.0179 memory: 17087 grad_norm: 7.2311 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8421 loss: 0.8421 2022/08/05 08:41:03 - mmengine - INFO - Epoch(train) [206][900/1879] lr: 1.0000e-04 eta: 11:24:54 time: 0.4287 data_time: 0.0147 memory: 17087 grad_norm: 7.0107 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8067 loss: 0.8067 2022/08/05 08:41:12 - mmengine - INFO - Epoch(train) [206][920/1879] lr: 1.0000e-04 eta: 11:24:45 time: 0.4543 data_time: 0.0191 memory: 17087 grad_norm: 6.7887 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7425 loss: 0.7425 2022/08/05 08:41:21 - mmengine - INFO - Epoch(train) [206][940/1879] lr: 1.0000e-04 eta: 11:24:36 time: 0.4317 data_time: 0.0153 memory: 17087 grad_norm: 6.7497 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8602 loss: 0.8602 2022/08/05 08:41:29 - mmengine - INFO - Epoch(train) [206][960/1879] lr: 1.0000e-04 eta: 11:24:28 time: 0.4333 data_time: 0.0170 memory: 17087 grad_norm: 6.8954 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7045 loss: 0.7045 2022/08/05 08:41:38 - mmengine - INFO - Epoch(train) [206][980/1879] lr: 1.0000e-04 eta: 11:24:19 time: 0.4319 data_time: 0.0153 memory: 17087 grad_norm: 6.9443 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9093 loss: 0.9093 2022/08/05 08:41:47 - mmengine - INFO - Epoch(train) [206][1000/1879] lr: 1.0000e-04 eta: 11:24:10 time: 0.4320 data_time: 0.0170 memory: 17087 grad_norm: 7.1543 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8376 loss: 0.8376 2022/08/05 08:41:56 - mmengine - INFO - Epoch(train) [206][1020/1879] lr: 1.0000e-04 eta: 11:24:02 time: 0.4546 data_time: 0.0163 memory: 17087 grad_norm: 6.7114 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7355 loss: 0.7355 2022/08/05 08:42:05 - mmengine - INFO - Epoch(train) [206][1040/1879] lr: 1.0000e-04 eta: 11:23:53 time: 0.4339 data_time: 0.0185 memory: 17087 grad_norm: 6.9516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7967 loss: 0.7967 2022/08/05 08:42:14 - mmengine - INFO - Epoch(train) [206][1060/1879] lr: 1.0000e-04 eta: 11:23:45 time: 0.4448 data_time: 0.0164 memory: 17087 grad_norm: 7.0312 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8118 loss: 0.8118 2022/08/05 08:42:22 - mmengine - INFO - Epoch(train) [206][1080/1879] lr: 1.0000e-04 eta: 11:23:36 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 6.8055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7336 loss: 0.7336 2022/08/05 08:42:31 - mmengine - INFO - Epoch(train) [206][1100/1879] lr: 1.0000e-04 eta: 11:23:27 time: 0.4393 data_time: 0.0161 memory: 17087 grad_norm: 6.6205 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7476 loss: 0.7476 2022/08/05 08:42:40 - mmengine - INFO - Epoch(train) [206][1120/1879] lr: 1.0000e-04 eta: 11:23:19 time: 0.4317 data_time: 0.0158 memory: 17087 grad_norm: 7.0293 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7876 loss: 0.7876 2022/08/05 08:42:48 - mmengine - INFO - Epoch(train) [206][1140/1879] lr: 1.0000e-04 eta: 11:23:10 time: 0.4358 data_time: 0.0211 memory: 17087 grad_norm: 6.9438 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8166 loss: 0.8166 2022/08/05 08:42:57 - mmengine - INFO - Epoch(train) [206][1160/1879] lr: 1.0000e-04 eta: 11:23:01 time: 0.4309 data_time: 0.0158 memory: 17087 grad_norm: 6.8825 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0071 loss: 1.0071 2022/08/05 08:43:06 - mmengine - INFO - Epoch(train) [206][1180/1879] lr: 1.0000e-04 eta: 11:22:53 time: 0.4302 data_time: 0.0158 memory: 17087 grad_norm: 6.9052 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9286 loss: 0.9286 2022/08/05 08:43:15 - mmengine - INFO - Epoch(train) [206][1200/1879] lr: 1.0000e-04 eta: 11:22:44 time: 0.4527 data_time: 0.0167 memory: 17087 grad_norm: 6.9902 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8378 loss: 0.8378 2022/08/05 08:43:23 - mmengine - INFO - Epoch(train) [206][1220/1879] lr: 1.0000e-04 eta: 11:22:35 time: 0.4351 data_time: 0.0197 memory: 17087 grad_norm: 7.1266 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8281 loss: 0.8281 2022/08/05 08:43:33 - mmengine - INFO - Epoch(train) [206][1240/1879] lr: 1.0000e-04 eta: 11:22:27 time: 0.4544 data_time: 0.0174 memory: 17087 grad_norm: 7.1697 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7704 loss: 0.7704 2022/08/05 08:43:41 - mmengine - INFO - Epoch(train) [206][1260/1879] lr: 1.0000e-04 eta: 11:22:18 time: 0.4308 data_time: 0.0172 memory: 17087 grad_norm: 6.9033 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6935 loss: 0.6935 2022/08/05 08:43:50 - mmengine - INFO - Epoch(train) [206][1280/1879] lr: 1.0000e-04 eta: 11:22:10 time: 0.4409 data_time: 0.0250 memory: 17087 grad_norm: 6.8104 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7573 loss: 0.7573 2022/08/05 08:43:59 - mmengine - INFO - Epoch(train) [206][1300/1879] lr: 1.0000e-04 eta: 11:22:01 time: 0.4311 data_time: 0.0151 memory: 17087 grad_norm: 6.9690 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9060 loss: 0.9060 2022/08/05 08:44:07 - mmengine - INFO - Epoch(train) [206][1320/1879] lr: 1.0000e-04 eta: 11:21:52 time: 0.4306 data_time: 0.0155 memory: 17087 grad_norm: 6.9179 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7204 loss: 0.7204 2022/08/05 08:44:16 - mmengine - INFO - Epoch(train) [206][1340/1879] lr: 1.0000e-04 eta: 11:21:44 time: 0.4502 data_time: 0.0159 memory: 17087 grad_norm: 7.1146 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0668 loss: 1.0668 2022/08/05 08:44:25 - mmengine - INFO - Epoch(train) [206][1360/1879] lr: 1.0000e-04 eta: 11:21:35 time: 0.4300 data_time: 0.0175 memory: 17087 grad_norm: 7.0353 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8827 loss: 0.8827 2022/08/05 08:44:34 - mmengine - INFO - Epoch(train) [206][1380/1879] lr: 1.0000e-04 eta: 11:21:26 time: 0.4444 data_time: 0.0152 memory: 17087 grad_norm: 7.2042 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8682 loss: 0.8682 2022/08/05 08:44:42 - mmengine - INFO - Epoch(train) [206][1400/1879] lr: 1.0000e-04 eta: 11:21:18 time: 0.4306 data_time: 0.0172 memory: 17087 grad_norm: 6.9752 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8634 loss: 0.8634 2022/08/05 08:44:51 - mmengine - INFO - Epoch(train) [206][1420/1879] lr: 1.0000e-04 eta: 11:21:09 time: 0.4302 data_time: 0.0161 memory: 17087 grad_norm: 7.1356 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 1.0240 loss: 1.0240 2022/08/05 08:45:00 - mmengine - INFO - Epoch(train) [206][1440/1879] lr: 1.0000e-04 eta: 11:21:00 time: 0.4291 data_time: 0.0153 memory: 17087 grad_norm: 6.8422 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6822 loss: 0.6822 2022/08/05 08:45:08 - mmengine - INFO - Epoch(train) [206][1460/1879] lr: 1.0000e-04 eta: 11:20:52 time: 0.4329 data_time: 0.0148 memory: 17087 grad_norm: 7.2794 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6520 loss: 0.6520 2022/08/05 08:45:17 - mmengine - INFO - Epoch(train) [206][1480/1879] lr: 1.0000e-04 eta: 11:20:43 time: 0.4296 data_time: 0.0153 memory: 17087 grad_norm: 7.0032 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7455 loss: 0.7455 2022/08/05 08:45:26 - mmengine - INFO - Epoch(train) [206][1500/1879] lr: 1.0000e-04 eta: 11:20:34 time: 0.4295 data_time: 0.0146 memory: 17087 grad_norm: 6.9721 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9243 loss: 0.9243 2022/08/05 08:45:34 - mmengine - INFO - Epoch(train) [206][1520/1879] lr: 1.0000e-04 eta: 11:20:26 time: 0.4363 data_time: 0.0170 memory: 17087 grad_norm: 6.7735 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8951 loss: 0.8951 2022/08/05 08:45:43 - mmengine - INFO - Epoch(train) [206][1540/1879] lr: 1.0000e-04 eta: 11:20:17 time: 0.4305 data_time: 0.0160 memory: 17087 grad_norm: 7.0166 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8600 loss: 0.8600 2022/08/05 08:45:52 - mmengine - INFO - Epoch(train) [206][1560/1879] lr: 1.0000e-04 eta: 11:20:08 time: 0.4367 data_time: 0.0158 memory: 17087 grad_norm: 7.1315 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7457 loss: 0.7457 2022/08/05 08:46:00 - mmengine - INFO - Epoch(train) [206][1580/1879] lr: 1.0000e-04 eta: 11:20:00 time: 0.4308 data_time: 0.0156 memory: 17087 grad_norm: 7.0543 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8376 loss: 0.8376 2022/08/05 08:46:10 - mmengine - INFO - Epoch(train) [206][1600/1879] lr: 1.0000e-04 eta: 11:19:51 time: 0.4652 data_time: 0.0198 memory: 17087 grad_norm: 7.1511 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8899 loss: 0.8899 2022/08/05 08:46:18 - mmengine - INFO - Epoch(train) [206][1620/1879] lr: 1.0000e-04 eta: 11:19:43 time: 0.4311 data_time: 0.0158 memory: 17087 grad_norm: 6.8003 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8787 loss: 0.8787 2022/08/05 08:46:27 - mmengine - INFO - Epoch(train) [206][1640/1879] lr: 1.0000e-04 eta: 11:19:34 time: 0.4302 data_time: 0.0155 memory: 17087 grad_norm: 7.0922 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8511 loss: 0.8511 2022/08/05 08:46:36 - mmengine - INFO - Epoch(train) [206][1660/1879] lr: 1.0000e-04 eta: 11:19:25 time: 0.4360 data_time: 0.0172 memory: 17087 grad_norm: 6.8758 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8321 loss: 0.8321 2022/08/05 08:46:44 - mmengine - INFO - Epoch(train) [206][1680/1879] lr: 1.0000e-04 eta: 11:19:17 time: 0.4318 data_time: 0.0165 memory: 17087 grad_norm: 7.0066 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.7504 loss: 0.7504 2022/08/05 08:46:53 - mmengine - INFO - Epoch(train) [206][1700/1879] lr: 1.0000e-04 eta: 11:19:08 time: 0.4483 data_time: 0.0164 memory: 17087 grad_norm: 7.0349 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8722 loss: 0.8722 2022/08/05 08:47:02 - mmengine - INFO - Epoch(train) [206][1720/1879] lr: 1.0000e-04 eta: 11:18:59 time: 0.4308 data_time: 0.0182 memory: 17087 grad_norm: 7.0142 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7054 loss: 0.7054 2022/08/05 08:47:11 - mmengine - INFO - Epoch(train) [206][1740/1879] lr: 1.0000e-04 eta: 11:18:51 time: 0.4621 data_time: 0.0156 memory: 17087 grad_norm: 7.0026 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9439 loss: 0.9439 2022/08/05 08:47:20 - mmengine - INFO - Epoch(train) [206][1760/1879] lr: 1.0000e-04 eta: 11:18:42 time: 0.4315 data_time: 0.0169 memory: 17087 grad_norm: 6.6927 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8916 loss: 0.8916 2022/08/05 08:47:29 - mmengine - INFO - Epoch(train) [206][1780/1879] lr: 1.0000e-04 eta: 11:18:34 time: 0.4314 data_time: 0.0171 memory: 17087 grad_norm: 7.1827 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8268 loss: 0.8268 2022/08/05 08:47:37 - mmengine - INFO - Epoch(train) [206][1800/1879] lr: 1.0000e-04 eta: 11:18:25 time: 0.4321 data_time: 0.0169 memory: 17087 grad_norm: 6.9836 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9006 loss: 0.9006 2022/08/05 08:47:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 08:47:46 - mmengine - INFO - Epoch(train) [206][1820/1879] lr: 1.0000e-04 eta: 11:18:16 time: 0.4318 data_time: 0.0167 memory: 17087 grad_norm: 7.3318 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8698 loss: 0.8698 2022/08/05 08:47:55 - mmengine - INFO - Epoch(train) [206][1840/1879] lr: 1.0000e-04 eta: 11:18:08 time: 0.4485 data_time: 0.0168 memory: 17087 grad_norm: 6.8546 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8443 loss: 0.8443 2022/08/05 08:48:04 - mmengine - INFO - Epoch(train) [206][1860/1879] lr: 1.0000e-04 eta: 11:17:59 time: 0.4366 data_time: 0.0161 memory: 17087 grad_norm: 7.3348 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9005 loss: 0.9005 2022/08/05 08:48:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 08:48:11 - mmengine - INFO - Epoch(train) [206][1879/1879] lr: 1.0000e-04 eta: 11:17:59 time: 0.4134 data_time: 0.0140 memory: 17087 grad_norm: 7.3516 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8380 loss: 0.8380 2022/08/05 08:48:23 - mmengine - INFO - Epoch(train) [207][20/1879] lr: 1.0000e-04 eta: 11:17:41 time: 0.5543 data_time: 0.1120 memory: 17087 grad_norm: 6.8196 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8145 loss: 0.8145 2022/08/05 08:48:31 - mmengine - INFO - Epoch(train) [207][40/1879] lr: 1.0000e-04 eta: 11:17:32 time: 0.4398 data_time: 0.0176 memory: 17087 grad_norm: 6.9656 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9820 loss: 0.9820 2022/08/05 08:48:40 - mmengine - INFO - Epoch(train) [207][60/1879] lr: 1.0000e-04 eta: 11:17:23 time: 0.4295 data_time: 0.0171 memory: 17087 grad_norm: 6.8051 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8801 loss: 0.8801 2022/08/05 08:48:49 - mmengine - INFO - Epoch(train) [207][80/1879] lr: 1.0000e-04 eta: 11:17:15 time: 0.4404 data_time: 0.0162 memory: 17087 grad_norm: 7.1055 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8852 loss: 0.8852 2022/08/05 08:48:58 - mmengine - INFO - Epoch(train) [207][100/1879] lr: 1.0000e-04 eta: 11:17:06 time: 0.4311 data_time: 0.0169 memory: 17087 grad_norm: 6.9387 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8230 loss: 0.8230 2022/08/05 08:49:06 - mmengine - INFO - Epoch(train) [207][120/1879] lr: 1.0000e-04 eta: 11:16:57 time: 0.4313 data_time: 0.0165 memory: 17087 grad_norm: 7.0294 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8803 loss: 0.8803 2022/08/05 08:49:15 - mmengine - INFO - Epoch(train) [207][140/1879] lr: 1.0000e-04 eta: 11:16:49 time: 0.4385 data_time: 0.0174 memory: 17087 grad_norm: 7.3773 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9910 loss: 0.9910 2022/08/05 08:49:24 - mmengine - INFO - Epoch(train) [207][160/1879] lr: 1.0000e-04 eta: 11:16:40 time: 0.4312 data_time: 0.0159 memory: 17087 grad_norm: 6.9619 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6776 loss: 0.6776 2022/08/05 08:49:32 - mmengine - INFO - Epoch(train) [207][180/1879] lr: 1.0000e-04 eta: 11:16:31 time: 0.4358 data_time: 0.0153 memory: 17087 grad_norm: 6.9324 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7838 loss: 0.7838 2022/08/05 08:49:41 - mmengine - INFO - Epoch(train) [207][200/1879] lr: 1.0000e-04 eta: 11:16:23 time: 0.4315 data_time: 0.0166 memory: 17087 grad_norm: 6.9297 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9063 loss: 0.9063 2022/08/05 08:49:50 - mmengine - INFO - Epoch(train) [207][220/1879] lr: 1.0000e-04 eta: 11:16:14 time: 0.4345 data_time: 0.0147 memory: 17087 grad_norm: 6.6628 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7636 loss: 0.7636 2022/08/05 08:49:58 - mmengine - INFO - Epoch(train) [207][240/1879] lr: 1.0000e-04 eta: 11:16:06 time: 0.4320 data_time: 0.0154 memory: 17087 grad_norm: 6.4993 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7940 loss: 0.7940 2022/08/05 08:50:07 - mmengine - INFO - Epoch(train) [207][260/1879] lr: 1.0000e-04 eta: 11:15:57 time: 0.4297 data_time: 0.0171 memory: 17087 grad_norm: 7.2848 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.1061 loss: 1.1061 2022/08/05 08:50:16 - mmengine - INFO - Epoch(train) [207][280/1879] lr: 1.0000e-04 eta: 11:15:48 time: 0.4378 data_time: 0.0177 memory: 17087 grad_norm: 6.8027 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8591 loss: 0.8591 2022/08/05 08:50:24 - mmengine - INFO - Epoch(train) [207][300/1879] lr: 1.0000e-04 eta: 11:15:40 time: 0.4298 data_time: 0.0133 memory: 17087 grad_norm: 6.8428 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8662 loss: 0.8662 2022/08/05 08:50:33 - mmengine - INFO - Epoch(train) [207][320/1879] lr: 1.0000e-04 eta: 11:15:31 time: 0.4404 data_time: 0.0156 memory: 17087 grad_norm: 7.0118 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8408 loss: 0.8408 2022/08/05 08:50:42 - mmengine - INFO - Epoch(train) [207][340/1879] lr: 1.0000e-04 eta: 11:15:22 time: 0.4289 data_time: 0.0154 memory: 17087 grad_norm: 7.0194 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8200 loss: 0.8200 2022/08/05 08:50:51 - mmengine - INFO - Epoch(train) [207][360/1879] lr: 1.0000e-04 eta: 11:15:14 time: 0.4495 data_time: 0.0167 memory: 17087 grad_norm: 7.1522 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9590 loss: 0.9590 2022/08/05 08:50:59 - mmengine - INFO - Epoch(train) [207][380/1879] lr: 1.0000e-04 eta: 11:15:05 time: 0.4302 data_time: 0.0150 memory: 17087 grad_norm: 6.8634 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8739 loss: 0.8739 2022/08/05 08:51:08 - mmengine - INFO - Epoch(train) [207][400/1879] lr: 1.0000e-04 eta: 11:14:56 time: 0.4321 data_time: 0.0167 memory: 17087 grad_norm: 6.8721 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7433 loss: 0.7433 2022/08/05 08:51:17 - mmengine - INFO - Epoch(train) [207][420/1879] lr: 1.0000e-04 eta: 11:14:48 time: 0.4451 data_time: 0.0160 memory: 17087 grad_norm: 7.1752 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8901 loss: 0.8901 2022/08/05 08:51:26 - mmengine - INFO - Epoch(train) [207][440/1879] lr: 1.0000e-04 eta: 11:14:39 time: 0.4331 data_time: 0.0178 memory: 17087 grad_norm: 7.0198 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8285 loss: 0.8285 2022/08/05 08:51:34 - mmengine - INFO - Epoch(train) [207][460/1879] lr: 1.0000e-04 eta: 11:14:30 time: 0.4366 data_time: 0.0160 memory: 17087 grad_norm: 6.7056 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8853 loss: 0.8853 2022/08/05 08:51:43 - mmengine - INFO - Epoch(train) [207][480/1879] lr: 1.0000e-04 eta: 11:14:22 time: 0.4303 data_time: 0.0167 memory: 17087 grad_norm: 7.0507 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7495 loss: 0.7495 2022/08/05 08:51:52 - mmengine - INFO - Epoch(train) [207][500/1879] lr: 1.0000e-04 eta: 11:14:13 time: 0.4412 data_time: 0.0160 memory: 17087 grad_norm: 6.9705 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8328 loss: 0.8328 2022/08/05 08:52:01 - mmengine - INFO - Epoch(train) [207][520/1879] lr: 1.0000e-04 eta: 11:14:05 time: 0.4445 data_time: 0.0179 memory: 17087 grad_norm: 7.0183 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8337 loss: 0.8337 2022/08/05 08:52:10 - mmengine - INFO - Epoch(train) [207][540/1879] lr: 1.0000e-04 eta: 11:13:56 time: 0.4467 data_time: 0.0150 memory: 17087 grad_norm: 7.0598 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7403 loss: 0.7403 2022/08/05 08:52:18 - mmengine - INFO - Epoch(train) [207][560/1879] lr: 1.0000e-04 eta: 11:13:47 time: 0.4313 data_time: 0.0162 memory: 17087 grad_norm: 7.1003 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8233 loss: 0.8233 2022/08/05 08:52:27 - mmengine - INFO - Epoch(train) [207][580/1879] lr: 1.0000e-04 eta: 11:13:39 time: 0.4449 data_time: 0.0161 memory: 17087 grad_norm: 6.9658 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8558 loss: 0.8558 2022/08/05 08:52:36 - mmengine - INFO - Epoch(train) [207][600/1879] lr: 1.0000e-04 eta: 11:13:30 time: 0.4315 data_time: 0.0163 memory: 17087 grad_norm: 6.8443 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7952 loss: 0.7952 2022/08/05 08:52:45 - mmengine - INFO - Epoch(train) [207][620/1879] lr: 1.0000e-04 eta: 11:13:21 time: 0.4499 data_time: 0.0175 memory: 17087 grad_norm: 7.3541 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8371 loss: 0.8371 2022/08/05 08:52:54 - mmengine - INFO - Epoch(train) [207][640/1879] lr: 1.0000e-04 eta: 11:13:13 time: 0.4299 data_time: 0.0151 memory: 17087 grad_norm: 6.7309 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9512 loss: 0.9512 2022/08/05 08:53:03 - mmengine - INFO - Epoch(train) [207][660/1879] lr: 1.0000e-04 eta: 11:13:04 time: 0.4567 data_time: 0.0205 memory: 17087 grad_norm: 7.0076 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8871 loss: 0.8871 2022/08/05 08:53:12 - mmengine - INFO - Epoch(train) [207][680/1879] lr: 1.0000e-04 eta: 11:12:56 time: 0.4301 data_time: 0.0167 memory: 17087 grad_norm: 7.0522 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8035 loss: 0.8035 2022/08/05 08:53:20 - mmengine - INFO - Epoch(train) [207][700/1879] lr: 1.0000e-04 eta: 11:12:47 time: 0.4405 data_time: 0.0194 memory: 17087 grad_norm: 7.1905 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8518 loss: 0.8518 2022/08/05 08:53:29 - mmengine - INFO - Epoch(train) [207][720/1879] lr: 1.0000e-04 eta: 11:12:38 time: 0.4313 data_time: 0.0183 memory: 17087 grad_norm: 6.9594 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8180 loss: 0.8180 2022/08/05 08:53:38 - mmengine - INFO - Epoch(train) [207][740/1879] lr: 1.0000e-04 eta: 11:12:30 time: 0.4309 data_time: 0.0160 memory: 17087 grad_norm: 7.1099 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8118 loss: 0.8118 2022/08/05 08:53:46 - mmengine - INFO - Epoch(train) [207][760/1879] lr: 1.0000e-04 eta: 11:12:21 time: 0.4322 data_time: 0.0175 memory: 17087 grad_norm: 6.8252 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7515 loss: 0.7515 2022/08/05 08:53:55 - mmengine - INFO - Epoch(train) [207][780/1879] lr: 1.0000e-04 eta: 11:12:12 time: 0.4311 data_time: 0.0154 memory: 17087 grad_norm: 6.8447 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9158 loss: 0.9158 2022/08/05 08:54:04 - mmengine - INFO - Epoch(train) [207][800/1879] lr: 1.0000e-04 eta: 11:12:04 time: 0.4484 data_time: 0.0161 memory: 17087 grad_norm: 7.1675 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8253 loss: 0.8253 2022/08/05 08:54:13 - mmengine - INFO - Epoch(train) [207][820/1879] lr: 1.0000e-04 eta: 11:11:55 time: 0.4329 data_time: 0.0145 memory: 17087 grad_norm: 6.5626 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7127 loss: 0.7127 2022/08/05 08:54:22 - mmengine - INFO - Epoch(train) [207][840/1879] lr: 1.0000e-04 eta: 11:11:46 time: 0.4495 data_time: 0.0179 memory: 17087 grad_norm: 6.8838 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8513 loss: 0.8513 2022/08/05 08:54:30 - mmengine - INFO - Epoch(train) [207][860/1879] lr: 1.0000e-04 eta: 11:11:38 time: 0.4340 data_time: 0.0137 memory: 17087 grad_norm: 6.8096 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6241 loss: 0.6241 2022/08/05 08:54:39 - mmengine - INFO - Epoch(train) [207][880/1879] lr: 1.0000e-04 eta: 11:11:29 time: 0.4348 data_time: 0.0181 memory: 17087 grad_norm: 6.6749 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6618 loss: 0.6618 2022/08/05 08:54:48 - mmengine - INFO - Epoch(train) [207][900/1879] lr: 1.0000e-04 eta: 11:11:21 time: 0.4427 data_time: 0.0147 memory: 17087 grad_norm: 7.1115 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7957 loss: 0.7957 2022/08/05 08:54:57 - mmengine - INFO - Epoch(train) [207][920/1879] lr: 1.0000e-04 eta: 11:11:12 time: 0.4305 data_time: 0.0160 memory: 17087 grad_norm: 7.1220 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8559 loss: 0.8559 2022/08/05 08:54:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 08:55:05 - mmengine - INFO - Epoch(train) [207][940/1879] lr: 1.0000e-04 eta: 11:11:03 time: 0.4370 data_time: 0.0162 memory: 17087 grad_norm: 6.8279 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7910 loss: 0.7910 2022/08/05 08:55:14 - mmengine - INFO - Epoch(train) [207][960/1879] lr: 1.0000e-04 eta: 11:10:55 time: 0.4316 data_time: 0.0159 memory: 17087 grad_norm: 6.9438 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8463 loss: 0.8463 2022/08/05 08:55:23 - mmengine - INFO - Epoch(train) [207][980/1879] lr: 1.0000e-04 eta: 11:10:46 time: 0.4340 data_time: 0.0163 memory: 17087 grad_norm: 7.1404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9613 loss: 0.9613 2022/08/05 08:55:31 - mmengine - INFO - Epoch(train) [207][1000/1879] lr: 1.0000e-04 eta: 11:10:37 time: 0.4323 data_time: 0.0166 memory: 17087 grad_norm: 7.0647 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7294 loss: 0.7294 2022/08/05 08:55:40 - mmengine - INFO - Epoch(train) [207][1020/1879] lr: 1.0000e-04 eta: 11:10:29 time: 0.4388 data_time: 0.0162 memory: 17087 grad_norm: 7.0334 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8545 loss: 0.8545 2022/08/05 08:55:49 - mmengine - INFO - Epoch(train) [207][1040/1879] lr: 1.0000e-04 eta: 11:10:20 time: 0.4316 data_time: 0.0166 memory: 17087 grad_norm: 7.0490 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8736 loss: 0.8736 2022/08/05 08:55:57 - mmengine - INFO - Epoch(train) [207][1060/1879] lr: 1.0000e-04 eta: 11:10:11 time: 0.4307 data_time: 0.0147 memory: 17087 grad_norm: 6.8495 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9212 loss: 0.9212 2022/08/05 08:56:06 - mmengine - INFO - Epoch(train) [207][1080/1879] lr: 1.0000e-04 eta: 11:10:03 time: 0.4332 data_time: 0.0188 memory: 17087 grad_norm: 7.0453 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9577 loss: 0.9577 2022/08/05 08:56:15 - mmengine - INFO - Epoch(train) [207][1100/1879] lr: 1.0000e-04 eta: 11:09:54 time: 0.4312 data_time: 0.0170 memory: 17087 grad_norm: 7.0022 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8514 loss: 0.8514 2022/08/05 08:56:24 - mmengine - INFO - Epoch(train) [207][1120/1879] lr: 1.0000e-04 eta: 11:09:45 time: 0.4501 data_time: 0.0176 memory: 17087 grad_norm: 7.1035 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9321 loss: 0.9321 2022/08/05 08:56:32 - mmengine - INFO - Epoch(train) [207][1140/1879] lr: 1.0000e-04 eta: 11:09:37 time: 0.4323 data_time: 0.0163 memory: 17087 grad_norm: 6.9917 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6648 loss: 0.6648 2022/08/05 08:56:41 - mmengine - INFO - Epoch(train) [207][1160/1879] lr: 1.0000e-04 eta: 11:09:28 time: 0.4483 data_time: 0.0165 memory: 17087 grad_norm: 6.8166 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7769 loss: 0.7769 2022/08/05 08:56:50 - mmengine - INFO - Epoch(train) [207][1180/1879] lr: 1.0000e-04 eta: 11:09:19 time: 0.4281 data_time: 0.0147 memory: 17087 grad_norm: 6.7944 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8296 loss: 0.8296 2022/08/05 08:56:59 - mmengine - INFO - Epoch(train) [207][1200/1879] lr: 1.0000e-04 eta: 11:09:11 time: 0.4318 data_time: 0.0159 memory: 17087 grad_norm: 7.1775 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8604 loss: 0.8604 2022/08/05 08:57:07 - mmengine - INFO - Epoch(train) [207][1220/1879] lr: 1.0000e-04 eta: 11:09:02 time: 0.4360 data_time: 0.0163 memory: 17087 grad_norm: 7.0913 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7760 loss: 0.7760 2022/08/05 08:57:16 - mmengine - INFO - Epoch(train) [207][1240/1879] lr: 1.0000e-04 eta: 11:08:53 time: 0.4307 data_time: 0.0162 memory: 17087 grad_norm: 6.9755 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8889 loss: 0.8889 2022/08/05 08:57:25 - mmengine - INFO - Epoch(train) [207][1260/1879] lr: 1.0000e-04 eta: 11:08:45 time: 0.4420 data_time: 0.0152 memory: 17087 grad_norm: 7.0135 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7750 loss: 0.7750 2022/08/05 08:57:34 - mmengine - INFO - Epoch(train) [207][1280/1879] lr: 1.0000e-04 eta: 11:08:36 time: 0.4323 data_time: 0.0170 memory: 17087 grad_norm: 6.9195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8344 loss: 0.8344 2022/08/05 08:57:43 - mmengine - INFO - Epoch(train) [207][1300/1879] lr: 1.0000e-04 eta: 11:08:28 time: 0.4497 data_time: 0.0148 memory: 17087 grad_norm: 7.1368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8256 loss: 0.8256 2022/08/05 08:57:51 - mmengine - INFO - Epoch(train) [207][1320/1879] lr: 1.0000e-04 eta: 11:08:19 time: 0.4343 data_time: 0.0186 memory: 17087 grad_norm: 6.8939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8037 loss: 0.8037 2022/08/05 08:58:00 - mmengine - INFO - Epoch(train) [207][1340/1879] lr: 1.0000e-04 eta: 11:08:10 time: 0.4298 data_time: 0.0147 memory: 17087 grad_norm: 7.2696 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8489 loss: 0.8489 2022/08/05 08:58:08 - mmengine - INFO - Epoch(train) [207][1360/1879] lr: 1.0000e-04 eta: 11:08:02 time: 0.4300 data_time: 0.0168 memory: 17087 grad_norm: 6.9504 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8005 loss: 0.8005 2022/08/05 08:58:17 - mmengine - INFO - Epoch(train) [207][1380/1879] lr: 1.0000e-04 eta: 11:07:53 time: 0.4318 data_time: 0.0153 memory: 17087 grad_norm: 7.4094 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7513 loss: 0.7513 2022/08/05 08:58:26 - mmengine - INFO - Epoch(train) [207][1400/1879] lr: 1.0000e-04 eta: 11:07:44 time: 0.4465 data_time: 0.0217 memory: 17087 grad_norm: 7.0385 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7794 loss: 0.7794 2022/08/05 08:58:35 - mmengine - INFO - Epoch(train) [207][1420/1879] lr: 1.0000e-04 eta: 11:07:36 time: 0.4318 data_time: 0.0147 memory: 17087 grad_norm: 7.1390 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8062 loss: 0.8062 2022/08/05 08:58:44 - mmengine - INFO - Epoch(train) [207][1440/1879] lr: 1.0000e-04 eta: 11:07:27 time: 0.4533 data_time: 0.0166 memory: 17087 grad_norm: 6.8846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9248 loss: 0.9248 2022/08/05 08:58:53 - mmengine - INFO - Epoch(train) [207][1460/1879] lr: 1.0000e-04 eta: 11:07:19 time: 0.4353 data_time: 0.0219 memory: 17087 grad_norm: 6.7150 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7225 loss: 0.7225 2022/08/05 08:59:01 - mmengine - INFO - Epoch(train) [207][1480/1879] lr: 1.0000e-04 eta: 11:07:10 time: 0.4305 data_time: 0.0158 memory: 17087 grad_norm: 6.6182 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7673 loss: 0.7673 2022/08/05 08:59:10 - mmengine - INFO - Epoch(train) [207][1500/1879] lr: 1.0000e-04 eta: 11:07:01 time: 0.4318 data_time: 0.0163 memory: 17087 grad_norm: 6.9019 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7492 loss: 0.7492 2022/08/05 08:59:19 - mmengine - INFO - Epoch(train) [207][1520/1879] lr: 1.0000e-04 eta: 11:06:53 time: 0.4315 data_time: 0.0158 memory: 17087 grad_norm: 6.9176 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8295 loss: 0.8295 2022/08/05 08:59:27 - mmengine - INFO - Epoch(train) [207][1540/1879] lr: 1.0000e-04 eta: 11:06:44 time: 0.4317 data_time: 0.0152 memory: 17087 grad_norm: 7.0816 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7664 loss: 0.7664 2022/08/05 08:59:36 - mmengine - INFO - Epoch(train) [207][1560/1879] lr: 1.0000e-04 eta: 11:06:35 time: 0.4324 data_time: 0.0166 memory: 17087 grad_norm: 6.8485 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6969 loss: 0.6969 2022/08/05 08:59:45 - mmengine - INFO - Epoch(train) [207][1580/1879] lr: 1.0000e-04 eta: 11:06:27 time: 0.4370 data_time: 0.0167 memory: 17087 grad_norm: 6.7249 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8591 loss: 0.8591 2022/08/05 08:59:53 - mmengine - INFO - Epoch(train) [207][1600/1879] lr: 1.0000e-04 eta: 11:06:18 time: 0.4313 data_time: 0.0155 memory: 17087 grad_norm: 7.0266 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8314 loss: 0.8314 2022/08/05 09:00:02 - mmengine - INFO - Epoch(train) [207][1620/1879] lr: 1.0000e-04 eta: 11:06:09 time: 0.4323 data_time: 0.0165 memory: 17087 grad_norm: 6.9497 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7704 loss: 0.7704 2022/08/05 09:00:11 - mmengine - INFO - Epoch(train) [207][1640/1879] lr: 1.0000e-04 eta: 11:06:01 time: 0.4339 data_time: 0.0174 memory: 17087 grad_norm: 6.8674 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6680 loss: 0.6680 2022/08/05 09:00:19 - mmengine - INFO - Epoch(train) [207][1660/1879] lr: 1.0000e-04 eta: 11:05:52 time: 0.4295 data_time: 0.0150 memory: 17087 grad_norm: 6.8652 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7961 loss: 0.7961 2022/08/05 09:00:28 - mmengine - INFO - Epoch(train) [207][1680/1879] lr: 1.0000e-04 eta: 11:05:43 time: 0.4551 data_time: 0.0179 memory: 17087 grad_norm: 6.8516 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8184 loss: 0.8184 2022/08/05 09:00:37 - mmengine - INFO - Epoch(train) [207][1700/1879] lr: 1.0000e-04 eta: 11:05:35 time: 0.4299 data_time: 0.0172 memory: 17087 grad_norm: 7.0455 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8932 loss: 0.8932 2022/08/05 09:00:46 - mmengine - INFO - Epoch(train) [207][1720/1879] lr: 1.0000e-04 eta: 11:05:26 time: 0.4344 data_time: 0.0176 memory: 17087 grad_norm: 7.1206 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8948 loss: 0.8948 2022/08/05 09:00:54 - mmengine - INFO - Epoch(train) [207][1740/1879] lr: 1.0000e-04 eta: 11:05:17 time: 0.4300 data_time: 0.0155 memory: 17087 grad_norm: 6.9663 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8274 loss: 0.8274 2022/08/05 09:01:03 - mmengine - INFO - Epoch(train) [207][1760/1879] lr: 1.0000e-04 eta: 11:05:09 time: 0.4529 data_time: 0.0221 memory: 17087 grad_norm: 6.8727 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8373 loss: 0.8373 2022/08/05 09:01:12 - mmengine - INFO - Epoch(train) [207][1780/1879] lr: 1.0000e-04 eta: 11:05:00 time: 0.4297 data_time: 0.0160 memory: 17087 grad_norm: 6.7710 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9708 loss: 0.9708 2022/08/05 09:01:21 - mmengine - INFO - Epoch(train) [207][1800/1879] lr: 1.0000e-04 eta: 11:04:52 time: 0.4532 data_time: 0.0171 memory: 17087 grad_norm: 6.9218 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7690 loss: 0.7690 2022/08/05 09:01:30 - mmengine - INFO - Epoch(train) [207][1820/1879] lr: 1.0000e-04 eta: 11:04:43 time: 0.4287 data_time: 0.0132 memory: 17087 grad_norm: 6.9800 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8623 loss: 0.8623 2022/08/05 09:01:38 - mmengine - INFO - Epoch(train) [207][1840/1879] lr: 1.0000e-04 eta: 11:04:34 time: 0.4319 data_time: 0.0166 memory: 17087 grad_norm: 7.0396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8594 loss: 0.8594 2022/08/05 09:01:48 - mmengine - INFO - Epoch(train) [207][1860/1879] lr: 1.0000e-04 eta: 11:04:26 time: 0.4568 data_time: 0.0140 memory: 17087 grad_norm: 6.8869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8525 loss: 0.8525 2022/08/05 09:01:55 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 09:01:55 - mmengine - INFO - Epoch(train) [207][1879/1879] lr: 1.0000e-04 eta: 11:04:26 time: 0.4105 data_time: 0.0142 memory: 17087 grad_norm: 7.0801 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.9562 loss: 0.9562 2022/08/05 09:02:07 - mmengine - INFO - Epoch(train) [208][20/1879] lr: 1.0000e-04 eta: 11:04:07 time: 0.5714 data_time: 0.1249 memory: 17087 grad_norm: 7.0169 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8327 loss: 0.8327 2022/08/05 09:02:16 - mmengine - INFO - Epoch(train) [208][40/1879] lr: 1.0000e-04 eta: 11:03:59 time: 0.4441 data_time: 0.0175 memory: 17087 grad_norm: 6.9997 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8603 loss: 0.8603 2022/08/05 09:02:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 09:02:25 - mmengine - INFO - Epoch(train) [208][60/1879] lr: 1.0000e-04 eta: 11:03:50 time: 0.4382 data_time: 0.0142 memory: 17087 grad_norm: 7.1205 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7970 loss: 0.7970 2022/08/05 09:02:34 - mmengine - INFO - Epoch(train) [208][80/1879] lr: 1.0000e-04 eta: 11:03:42 time: 0.4471 data_time: 0.0163 memory: 17087 grad_norm: 7.1262 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9617 loss: 0.9617 2022/08/05 09:02:42 - mmengine - INFO - Epoch(train) [208][100/1879] lr: 1.0000e-04 eta: 11:03:33 time: 0.4462 data_time: 0.0151 memory: 17087 grad_norm: 6.8861 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9283 loss: 0.9283 2022/08/05 09:02:51 - mmengine - INFO - Epoch(train) [208][120/1879] lr: 1.0000e-04 eta: 11:03:24 time: 0.4328 data_time: 0.0188 memory: 17087 grad_norm: 6.7566 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6567 loss: 0.6567 2022/08/05 09:03:00 - mmengine - INFO - Epoch(train) [208][140/1879] lr: 1.0000e-04 eta: 11:03:16 time: 0.4347 data_time: 0.0164 memory: 17087 grad_norm: 6.9242 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7882 loss: 0.7882 2022/08/05 09:03:09 - mmengine - INFO - Epoch(train) [208][160/1879] lr: 1.0000e-04 eta: 11:03:07 time: 0.4327 data_time: 0.0166 memory: 17087 grad_norm: 6.8061 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9173 loss: 0.9173 2022/08/05 09:03:17 - mmengine - INFO - Epoch(train) [208][180/1879] lr: 1.0000e-04 eta: 11:02:58 time: 0.4321 data_time: 0.0146 memory: 17087 grad_norm: 6.6206 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6732 loss: 0.6732 2022/08/05 09:03:26 - mmengine - INFO - Epoch(train) [208][200/1879] lr: 1.0000e-04 eta: 11:02:50 time: 0.4359 data_time: 0.0174 memory: 17087 grad_norm: 7.0553 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9488 loss: 0.9488 2022/08/05 09:03:35 - mmengine - INFO - Epoch(train) [208][220/1879] lr: 1.0000e-04 eta: 11:02:41 time: 0.4491 data_time: 0.0178 memory: 17087 grad_norm: 6.9539 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7922 loss: 0.7922 2022/08/05 09:03:44 - mmengine - INFO - Epoch(train) [208][240/1879] lr: 1.0000e-04 eta: 11:02:33 time: 0.4314 data_time: 0.0161 memory: 17087 grad_norm: 7.0081 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8310 loss: 0.8310 2022/08/05 09:03:52 - mmengine - INFO - Epoch(train) [208][260/1879] lr: 1.0000e-04 eta: 11:02:24 time: 0.4375 data_time: 0.0194 memory: 17087 grad_norm: 7.2346 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8895 loss: 0.8895 2022/08/05 09:04:01 - mmengine - INFO - Epoch(train) [208][280/1879] lr: 1.0000e-04 eta: 11:02:15 time: 0.4322 data_time: 0.0162 memory: 17087 grad_norm: 7.1545 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8448 loss: 0.8448 2022/08/05 09:04:10 - mmengine - INFO - Epoch(train) [208][300/1879] lr: 1.0000e-04 eta: 11:02:07 time: 0.4292 data_time: 0.0125 memory: 17087 grad_norm: 6.9187 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0387 loss: 1.0387 2022/08/05 09:04:19 - mmengine - INFO - Epoch(train) [208][320/1879] lr: 1.0000e-04 eta: 11:01:58 time: 0.4502 data_time: 0.0164 memory: 17087 grad_norm: 6.6226 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8525 loss: 0.8525 2022/08/05 09:04:27 - mmengine - INFO - Epoch(train) [208][340/1879] lr: 1.0000e-04 eta: 11:01:49 time: 0.4402 data_time: 0.0138 memory: 17087 grad_norm: 6.9532 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.7168 loss: 0.7168 2022/08/05 09:04:36 - mmengine - INFO - Epoch(train) [208][360/1879] lr: 1.0000e-04 eta: 11:01:41 time: 0.4309 data_time: 0.0162 memory: 17087 grad_norm: 6.8702 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8990 loss: 0.8990 2022/08/05 09:04:45 - mmengine - INFO - Epoch(train) [208][380/1879] lr: 1.0000e-04 eta: 11:01:32 time: 0.4395 data_time: 0.0182 memory: 17087 grad_norm: 6.9882 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7663 loss: 0.7663 2022/08/05 09:04:54 - mmengine - INFO - Epoch(train) [208][400/1879] lr: 1.0000e-04 eta: 11:01:23 time: 0.4320 data_time: 0.0164 memory: 17087 grad_norm: 6.7743 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6736 loss: 0.6736 2022/08/05 09:05:02 - mmengine - INFO - Epoch(train) [208][420/1879] lr: 1.0000e-04 eta: 11:01:15 time: 0.4299 data_time: 0.0174 memory: 17087 grad_norm: 6.8221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7923 loss: 0.7923 2022/08/05 09:05:11 - mmengine - INFO - Epoch(train) [208][440/1879] lr: 1.0000e-04 eta: 11:01:06 time: 0.4307 data_time: 0.0170 memory: 17087 grad_norm: 6.9371 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8353 loss: 0.8353 2022/08/05 09:05:19 - mmengine - INFO - Epoch(train) [208][460/1879] lr: 1.0000e-04 eta: 11:00:57 time: 0.4289 data_time: 0.0143 memory: 17087 grad_norm: 6.9029 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7113 loss: 0.7113 2022/08/05 09:05:28 - mmengine - INFO - Epoch(train) [208][480/1879] lr: 1.0000e-04 eta: 11:00:49 time: 0.4518 data_time: 0.0173 memory: 17087 grad_norm: 6.9318 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8809 loss: 0.8809 2022/08/05 09:05:37 - mmengine - INFO - Epoch(train) [208][500/1879] lr: 1.0000e-04 eta: 11:00:40 time: 0.4299 data_time: 0.0128 memory: 17087 grad_norm: 6.8161 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9481 loss: 0.9481 2022/08/05 09:05:46 - mmengine - INFO - Epoch(train) [208][520/1879] lr: 1.0000e-04 eta: 11:00:32 time: 0.4547 data_time: 0.0183 memory: 17087 grad_norm: 7.0328 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8418 loss: 0.8418 2022/08/05 09:05:55 - mmengine - INFO - Epoch(train) [208][540/1879] lr: 1.0000e-04 eta: 11:00:23 time: 0.4296 data_time: 0.0140 memory: 17087 grad_norm: 6.7636 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8832 loss: 0.8832 2022/08/05 09:06:04 - mmengine - INFO - Epoch(train) [208][560/1879] lr: 1.0000e-04 eta: 11:00:14 time: 0.4374 data_time: 0.0215 memory: 17087 grad_norm: 7.2510 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8070 loss: 0.8070 2022/08/05 09:06:12 - mmengine - INFO - Epoch(train) [208][580/1879] lr: 1.0000e-04 eta: 11:00:06 time: 0.4298 data_time: 0.0158 memory: 17087 grad_norm: 6.9120 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9204 loss: 0.9204 2022/08/05 09:06:21 - mmengine - INFO - Epoch(train) [208][600/1879] lr: 1.0000e-04 eta: 10:59:57 time: 0.4554 data_time: 0.0182 memory: 17087 grad_norm: 7.0718 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9898 loss: 0.9898 2022/08/05 09:06:30 - mmengine - INFO - Epoch(train) [208][620/1879] lr: 1.0000e-04 eta: 10:59:48 time: 0.4285 data_time: 0.0129 memory: 17087 grad_norm: 7.0422 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7143 loss: 0.7143 2022/08/05 09:06:39 - mmengine - INFO - Epoch(train) [208][640/1879] lr: 1.0000e-04 eta: 10:59:40 time: 0.4308 data_time: 0.0156 memory: 17087 grad_norm: 6.8495 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9247 loss: 0.9247 2022/08/05 09:06:48 - mmengine - INFO - Epoch(train) [208][660/1879] lr: 1.0000e-04 eta: 10:59:31 time: 0.4543 data_time: 0.0195 memory: 17087 grad_norm: 7.1286 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9249 loss: 0.9249 2022/08/05 09:06:56 - mmengine - INFO - Epoch(train) [208][680/1879] lr: 1.0000e-04 eta: 10:59:23 time: 0.4319 data_time: 0.0171 memory: 17087 grad_norm: 6.7726 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8677 loss: 0.8677 2022/08/05 09:07:05 - mmengine - INFO - Epoch(train) [208][700/1879] lr: 1.0000e-04 eta: 10:59:14 time: 0.4309 data_time: 0.0158 memory: 17087 grad_norm: 7.0658 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8812 loss: 0.8812 2022/08/05 09:07:14 - mmengine - INFO - Epoch(train) [208][720/1879] lr: 1.0000e-04 eta: 10:59:05 time: 0.4304 data_time: 0.0165 memory: 17087 grad_norm: 7.0019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8518 loss: 0.8518 2022/08/05 09:07:22 - mmengine - INFO - Epoch(train) [208][740/1879] lr: 1.0000e-04 eta: 10:58:57 time: 0.4416 data_time: 0.0155 memory: 17087 grad_norm: 6.9722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6822 loss: 0.6822 2022/08/05 09:07:31 - mmengine - INFO - Epoch(train) [208][760/1879] lr: 1.0000e-04 eta: 10:58:48 time: 0.4296 data_time: 0.0158 memory: 17087 grad_norm: 6.7362 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8308 loss: 0.8308 2022/08/05 09:07:40 - mmengine - INFO - Epoch(train) [208][780/1879] lr: 1.0000e-04 eta: 10:58:39 time: 0.4303 data_time: 0.0130 memory: 17087 grad_norm: 6.7171 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7650 loss: 0.7650 2022/08/05 09:07:49 - mmengine - INFO - Epoch(train) [208][800/1879] lr: 1.0000e-04 eta: 10:58:31 time: 0.4541 data_time: 0.0159 memory: 17087 grad_norm: 7.1999 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9282 loss: 0.9282 2022/08/05 09:07:58 - mmengine - INFO - Epoch(train) [208][820/1879] lr: 1.0000e-04 eta: 10:58:22 time: 0.4348 data_time: 0.0132 memory: 17087 grad_norm: 7.0739 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8818 loss: 0.8818 2022/08/05 09:08:07 - mmengine - INFO - Epoch(train) [208][840/1879] lr: 1.0000e-04 eta: 10:58:13 time: 0.4601 data_time: 0.0227 memory: 17087 grad_norm: 6.9403 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8231 loss: 0.8231 2022/08/05 09:08:16 - mmengine - INFO - Epoch(train) [208][860/1879] lr: 1.0000e-04 eta: 10:58:05 time: 0.4321 data_time: 0.0146 memory: 17087 grad_norm: 6.9072 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6293 loss: 0.6293 2022/08/05 09:08:24 - mmengine - INFO - Epoch(train) [208][880/1879] lr: 1.0000e-04 eta: 10:57:56 time: 0.4415 data_time: 0.0220 memory: 17087 grad_norm: 7.0025 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8865 loss: 0.8865 2022/08/05 09:08:33 - mmengine - INFO - Epoch(train) [208][900/1879] lr: 1.0000e-04 eta: 10:57:48 time: 0.4295 data_time: 0.0148 memory: 17087 grad_norm: 6.7125 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8259 loss: 0.8259 2022/08/05 09:08:42 - mmengine - INFO - Epoch(train) [208][920/1879] lr: 1.0000e-04 eta: 10:57:39 time: 0.4492 data_time: 0.0171 memory: 17087 grad_norm: 6.8456 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9694 loss: 0.9694 2022/08/05 09:08:51 - mmengine - INFO - Epoch(train) [208][940/1879] lr: 1.0000e-04 eta: 10:57:30 time: 0.4294 data_time: 0.0132 memory: 17087 grad_norm: 7.1792 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9743 loss: 0.9743 2022/08/05 09:08:59 - mmengine - INFO - Epoch(train) [208][960/1879] lr: 1.0000e-04 eta: 10:57:22 time: 0.4343 data_time: 0.0205 memory: 17087 grad_norm: 7.0664 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9844 loss: 0.9844 2022/08/05 09:09:08 - mmengine - INFO - Epoch(train) [208][980/1879] lr: 1.0000e-04 eta: 10:57:13 time: 0.4584 data_time: 0.0159 memory: 17087 grad_norm: 7.0815 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8499 loss: 0.8499 2022/08/05 09:09:17 - mmengine - INFO - Epoch(train) [208][1000/1879] lr: 1.0000e-04 eta: 10:57:04 time: 0.4304 data_time: 0.0178 memory: 17087 grad_norm: 7.0174 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8324 loss: 0.8324 2022/08/05 09:09:26 - mmengine - INFO - Epoch(train) [208][1020/1879] lr: 1.0000e-04 eta: 10:56:56 time: 0.4375 data_time: 0.0162 memory: 17087 grad_norm: 7.2022 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7983 loss: 0.7983 2022/08/05 09:09:35 - mmengine - INFO - Epoch(train) [208][1040/1879] lr: 1.0000e-04 eta: 10:56:47 time: 0.4430 data_time: 0.0162 memory: 17087 grad_norm: 7.4395 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9569 loss: 0.9569 2022/08/05 09:09:38 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 09:09:43 - mmengine - INFO - Epoch(train) [208][1060/1879] lr: 1.0000e-04 eta: 10:56:39 time: 0.4381 data_time: 0.0148 memory: 17087 grad_norm: 6.9550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8699 loss: 0.8699 2022/08/05 09:09:52 - mmengine - INFO - Epoch(train) [208][1080/1879] lr: 1.0000e-04 eta: 10:56:30 time: 0.4321 data_time: 0.0160 memory: 17087 grad_norm: 6.8802 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8663 loss: 0.8663 2022/08/05 09:10:01 - mmengine - INFO - Epoch(train) [208][1100/1879] lr: 1.0000e-04 eta: 10:56:21 time: 0.4479 data_time: 0.0176 memory: 17087 grad_norm: 6.9257 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6389 loss: 0.6389 2022/08/05 09:10:10 - mmengine - INFO - Epoch(train) [208][1120/1879] lr: 1.0000e-04 eta: 10:56:13 time: 0.4300 data_time: 0.0171 memory: 17087 grad_norm: 7.2431 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8558 loss: 0.8558 2022/08/05 09:10:18 - mmengine - INFO - Epoch(train) [208][1140/1879] lr: 1.0000e-04 eta: 10:56:04 time: 0.4344 data_time: 0.0152 memory: 17087 grad_norm: 7.0652 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7272 loss: 0.7272 2022/08/05 09:10:28 - mmengine - INFO - Epoch(train) [208][1160/1879] lr: 1.0000e-04 eta: 10:55:55 time: 0.4595 data_time: 0.0159 memory: 17087 grad_norm: 7.2963 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8241 loss: 0.8241 2022/08/05 09:10:36 - mmengine - INFO - Epoch(train) [208][1180/1879] lr: 1.0000e-04 eta: 10:55:47 time: 0.4298 data_time: 0.0152 memory: 17087 grad_norm: 6.9882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8790 loss: 0.8790 2022/08/05 09:10:45 - mmengine - INFO - Epoch(train) [208][1200/1879] lr: 1.0000e-04 eta: 10:55:38 time: 0.4323 data_time: 0.0177 memory: 17087 grad_norm: 6.6964 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7693 loss: 0.7693 2022/08/05 09:10:54 - mmengine - INFO - Epoch(train) [208][1220/1879] lr: 1.0000e-04 eta: 10:55:29 time: 0.4332 data_time: 0.0161 memory: 17087 grad_norm: 6.9886 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8138 loss: 0.8138 2022/08/05 09:11:02 - mmengine - INFO - Epoch(train) [208][1240/1879] lr: 1.0000e-04 eta: 10:55:21 time: 0.4332 data_time: 0.0177 memory: 17087 grad_norm: 6.8365 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9473 loss: 0.9473 2022/08/05 09:11:11 - mmengine - INFO - Epoch(train) [208][1260/1879] lr: 1.0000e-04 eta: 10:55:12 time: 0.4356 data_time: 0.0192 memory: 17087 grad_norm: 6.8989 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9728 loss: 0.9728 2022/08/05 09:11:20 - mmengine - INFO - Epoch(train) [208][1280/1879] lr: 1.0000e-04 eta: 10:55:03 time: 0.4306 data_time: 0.0174 memory: 17087 grad_norm: 7.1742 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8662 loss: 0.8662 2022/08/05 09:11:29 - mmengine - INFO - Epoch(train) [208][1300/1879] lr: 1.0000e-04 eta: 10:54:55 time: 0.4464 data_time: 0.0144 memory: 17087 grad_norm: 6.9650 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8759 loss: 0.8759 2022/08/05 09:11:37 - mmengine - INFO - Epoch(train) [208][1320/1879] lr: 1.0000e-04 eta: 10:54:46 time: 0.4374 data_time: 0.0174 memory: 17087 grad_norm: 6.9190 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7705 loss: 0.7705 2022/08/05 09:11:46 - mmengine - INFO - Epoch(train) [208][1340/1879] lr: 1.0000e-04 eta: 10:54:38 time: 0.4297 data_time: 0.0156 memory: 17087 grad_norm: 6.8487 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8366 loss: 0.8366 2022/08/05 09:11:55 - mmengine - INFO - Epoch(train) [208][1360/1879] lr: 1.0000e-04 eta: 10:54:29 time: 0.4540 data_time: 0.0160 memory: 17087 grad_norm: 7.0929 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9626 loss: 0.9626 2022/08/05 09:12:04 - mmengine - INFO - Epoch(train) [208][1380/1879] lr: 1.0000e-04 eta: 10:54:20 time: 0.4335 data_time: 0.0177 memory: 17087 grad_norm: 7.1609 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7360 loss: 0.7360 2022/08/05 09:12:12 - mmengine - INFO - Epoch(train) [208][1400/1879] lr: 1.0000e-04 eta: 10:54:12 time: 0.4320 data_time: 0.0165 memory: 17087 grad_norm: 7.3582 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9610 loss: 0.9610 2022/08/05 09:12:21 - mmengine - INFO - Epoch(train) [208][1420/1879] lr: 1.0000e-04 eta: 10:54:03 time: 0.4497 data_time: 0.0154 memory: 17087 grad_norm: 6.8251 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7846 loss: 0.7846 2022/08/05 09:12:30 - mmengine - INFO - Epoch(train) [208][1440/1879] lr: 1.0000e-04 eta: 10:53:54 time: 0.4311 data_time: 0.0170 memory: 17087 grad_norm: 6.9195 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7762 loss: 0.7762 2022/08/05 09:12:39 - mmengine - INFO - Epoch(train) [208][1460/1879] lr: 1.0000e-04 eta: 10:53:46 time: 0.4317 data_time: 0.0147 memory: 17087 grad_norm: 7.1864 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7661 loss: 0.7661 2022/08/05 09:12:47 - mmengine - INFO - Epoch(train) [208][1480/1879] lr: 1.0000e-04 eta: 10:53:37 time: 0.4330 data_time: 0.0176 memory: 17087 grad_norm: 6.8931 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8473 loss: 0.8473 2022/08/05 09:12:56 - mmengine - INFO - Epoch(train) [208][1500/1879] lr: 1.0000e-04 eta: 10:53:28 time: 0.4317 data_time: 0.0162 memory: 17087 grad_norm: 6.8855 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9312 loss: 0.9312 2022/08/05 09:13:05 - mmengine - INFO - Epoch(train) [208][1520/1879] lr: 1.0000e-04 eta: 10:53:20 time: 0.4512 data_time: 0.0148 memory: 17087 grad_norm: 7.1676 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7739 loss: 0.7739 2022/08/05 09:13:14 - mmengine - INFO - Epoch(train) [208][1540/1879] lr: 1.0000e-04 eta: 10:53:11 time: 0.4297 data_time: 0.0143 memory: 17087 grad_norm: 7.0025 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9887 loss: 0.9887 2022/08/05 09:13:23 - mmengine - INFO - Epoch(train) [208][1560/1879] lr: 1.0000e-04 eta: 10:53:03 time: 0.4385 data_time: 0.0175 memory: 17087 grad_norm: 6.8963 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7983 loss: 0.7983 2022/08/05 09:13:31 - mmengine - INFO - Epoch(train) [208][1580/1879] lr: 1.0000e-04 eta: 10:52:54 time: 0.4407 data_time: 0.0151 memory: 17087 grad_norm: 7.2251 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7776 loss: 0.7776 2022/08/05 09:13:40 - mmengine - INFO - Epoch(train) [208][1600/1879] lr: 1.0000e-04 eta: 10:52:45 time: 0.4307 data_time: 0.0158 memory: 17087 grad_norm: 7.0720 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9102 loss: 0.9102 2022/08/05 09:13:49 - mmengine - INFO - Epoch(train) [208][1620/1879] lr: 1.0000e-04 eta: 10:52:37 time: 0.4329 data_time: 0.0159 memory: 17087 grad_norm: 7.1217 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8801 loss: 0.8801 2022/08/05 09:13:57 - mmengine - INFO - Epoch(train) [208][1640/1879] lr: 1.0000e-04 eta: 10:52:28 time: 0.4310 data_time: 0.0156 memory: 17087 grad_norm: 7.0161 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9135 loss: 0.9135 2022/08/05 09:14:06 - mmengine - INFO - Epoch(train) [208][1660/1879] lr: 1.0000e-04 eta: 10:52:19 time: 0.4344 data_time: 0.0179 memory: 17087 grad_norm: 7.0485 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8621 loss: 0.8621 2022/08/05 09:14:15 - mmengine - INFO - Epoch(train) [208][1680/1879] lr: 1.0000e-04 eta: 10:52:11 time: 0.4292 data_time: 0.0162 memory: 17087 grad_norm: 7.1918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7442 loss: 0.7442 2022/08/05 09:14:23 - mmengine - INFO - Epoch(train) [208][1700/1879] lr: 1.0000e-04 eta: 10:52:02 time: 0.4332 data_time: 0.0164 memory: 17087 grad_norm: 7.0527 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8207 loss: 0.8207 2022/08/05 09:14:32 - mmengine - INFO - Epoch(train) [208][1720/1879] lr: 1.0000e-04 eta: 10:51:53 time: 0.4310 data_time: 0.0172 memory: 17087 grad_norm: 7.0678 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8758 loss: 0.8758 2022/08/05 09:14:41 - mmengine - INFO - Epoch(train) [208][1740/1879] lr: 1.0000e-04 eta: 10:51:45 time: 0.4307 data_time: 0.0150 memory: 17087 grad_norm: 7.3151 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9110 loss: 0.9110 2022/08/05 09:14:49 - mmengine - INFO - Epoch(train) [208][1760/1879] lr: 1.0000e-04 eta: 10:51:36 time: 0.4310 data_time: 0.0164 memory: 17087 grad_norm: 6.9671 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9866 loss: 0.9866 2022/08/05 09:14:58 - mmengine - INFO - Epoch(train) [208][1780/1879] lr: 1.0000e-04 eta: 10:51:27 time: 0.4333 data_time: 0.0149 memory: 17087 grad_norm: 6.8354 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7763 loss: 0.7763 2022/08/05 09:15:07 - mmengine - INFO - Epoch(train) [208][1800/1879] lr: 1.0000e-04 eta: 10:51:19 time: 0.4316 data_time: 0.0159 memory: 17087 grad_norm: 7.3265 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0499 loss: 1.0499 2022/08/05 09:15:15 - mmengine - INFO - Epoch(train) [208][1820/1879] lr: 1.0000e-04 eta: 10:51:10 time: 0.4332 data_time: 0.0161 memory: 17087 grad_norm: 6.9950 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8483 loss: 0.8483 2022/08/05 09:15:24 - mmengine - INFO - Epoch(train) [208][1840/1879] lr: 1.0000e-04 eta: 10:51:01 time: 0.4311 data_time: 0.0173 memory: 17087 grad_norm: 6.8486 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9308 loss: 0.9308 2022/08/05 09:15:33 - mmengine - INFO - Epoch(train) [208][1860/1879] lr: 1.0000e-04 eta: 10:50:53 time: 0.4527 data_time: 0.0162 memory: 17087 grad_norm: 7.0926 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7606 loss: 0.7606 2022/08/05 09:15:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 09:15:41 - mmengine - INFO - Epoch(train) [208][1879/1879] lr: 1.0000e-04 eta: 10:50:53 time: 0.4115 data_time: 0.0155 memory: 17087 grad_norm: 7.2300 top1_acc: 0.4286 top5_acc: 0.7143 loss_cls: 0.8110 loss: 0.8110 2022/08/05 09:15:41 - mmengine - INFO - Saving checkpoint at 208 epochs 2022/08/05 09:15:55 - mmengine - INFO - Epoch(train) [209][20/1879] lr: 1.0000e-04 eta: 10:50:34 time: 0.5080 data_time: 0.0945 memory: 17087 grad_norm: 6.8751 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7669 loss: 0.7669 2022/08/05 09:16:04 - mmengine - INFO - Epoch(train) [209][40/1879] lr: 1.0000e-04 eta: 10:50:26 time: 0.4555 data_time: 0.0212 memory: 17087 grad_norm: 7.0073 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8859 loss: 0.8859 2022/08/05 09:16:13 - mmengine - INFO - Epoch(train) [209][60/1879] lr: 1.0000e-04 eta: 10:50:17 time: 0.4339 data_time: 0.0156 memory: 17087 grad_norm: 6.7430 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8093 loss: 0.8093 2022/08/05 09:16:22 - mmengine - INFO - Epoch(train) [209][80/1879] lr: 1.0000e-04 eta: 10:50:08 time: 0.4434 data_time: 0.0177 memory: 17087 grad_norm: 6.8627 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9611 loss: 0.9611 2022/08/05 09:16:30 - mmengine - INFO - Epoch(train) [209][100/1879] lr: 1.0000e-04 eta: 10:50:00 time: 0.4284 data_time: 0.0133 memory: 17087 grad_norm: 6.8340 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9096 loss: 0.9096 2022/08/05 09:16:39 - mmengine - INFO - Epoch(train) [209][120/1879] lr: 1.0000e-04 eta: 10:49:51 time: 0.4321 data_time: 0.0169 memory: 17087 grad_norm: 7.1053 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7503 loss: 0.7503 2022/08/05 09:16:48 - mmengine - INFO - Epoch(train) [209][140/1879] lr: 1.0000e-04 eta: 10:49:43 time: 0.4435 data_time: 0.0132 memory: 17087 grad_norm: 7.0722 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9222 loss: 0.9222 2022/08/05 09:16:56 - mmengine - INFO - Epoch(train) [209][160/1879] lr: 1.0000e-04 eta: 10:49:34 time: 0.4340 data_time: 0.0186 memory: 17087 grad_norm: 6.9057 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8064 loss: 0.8064 2022/08/05 09:17:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 09:17:05 - mmengine - INFO - Epoch(train) [209][180/1879] lr: 1.0000e-04 eta: 10:49:25 time: 0.4304 data_time: 0.0145 memory: 17087 grad_norm: 6.9770 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8027 loss: 0.8027 2022/08/05 09:17:14 - mmengine - INFO - Epoch(train) [209][200/1879] lr: 1.0000e-04 eta: 10:49:17 time: 0.4315 data_time: 0.0157 memory: 17087 grad_norm: 7.1826 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8853 loss: 0.8853 2022/08/05 09:17:22 - mmengine - INFO - Epoch(train) [209][220/1879] lr: 1.0000e-04 eta: 10:49:08 time: 0.4367 data_time: 0.0159 memory: 17087 grad_norm: 6.9637 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9227 loss: 0.9227 2022/08/05 09:17:31 - mmengine - INFO - Epoch(train) [209][240/1879] lr: 1.0000e-04 eta: 10:48:59 time: 0.4323 data_time: 0.0162 memory: 17087 grad_norm: 6.8615 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7131 loss: 0.7131 2022/08/05 09:17:40 - mmengine - INFO - Epoch(train) [209][260/1879] lr: 1.0000e-04 eta: 10:48:51 time: 0.4307 data_time: 0.0137 memory: 17087 grad_norm: 7.2300 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6595 loss: 0.6595 2022/08/05 09:17:49 - mmengine - INFO - Epoch(train) [209][280/1879] lr: 1.0000e-04 eta: 10:48:42 time: 0.4523 data_time: 0.0168 memory: 17087 grad_norm: 7.0727 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9855 loss: 0.9855 2022/08/05 09:17:57 - mmengine - INFO - Epoch(train) [209][300/1879] lr: 1.0000e-04 eta: 10:48:33 time: 0.4299 data_time: 0.0145 memory: 17087 grad_norm: 6.8326 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8472 loss: 0.8472 2022/08/05 09:18:06 - mmengine - INFO - Epoch(train) [209][320/1879] lr: 1.0000e-04 eta: 10:48:25 time: 0.4353 data_time: 0.0169 memory: 17087 grad_norm: 6.9587 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8214 loss: 0.8214 2022/08/05 09:18:15 - mmengine - INFO - Epoch(train) [209][340/1879] lr: 1.0000e-04 eta: 10:48:16 time: 0.4282 data_time: 0.0144 memory: 17087 grad_norm: 6.9515 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7394 loss: 0.7394 2022/08/05 09:18:23 - mmengine - INFO - Epoch(train) [209][360/1879] lr: 1.0000e-04 eta: 10:48:07 time: 0.4330 data_time: 0.0174 memory: 17087 grad_norm: 6.8419 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.6768 loss: 0.6768 2022/08/05 09:18:32 - mmengine - INFO - Epoch(train) [209][380/1879] lr: 1.0000e-04 eta: 10:47:59 time: 0.4376 data_time: 0.0145 memory: 17087 grad_norm: 6.9062 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7895 loss: 0.7895 2022/08/05 09:18:41 - mmengine - INFO - Epoch(train) [209][400/1879] lr: 1.0000e-04 eta: 10:47:50 time: 0.4307 data_time: 0.0156 memory: 17087 grad_norm: 6.6792 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7632 loss: 0.7632 2022/08/05 09:18:50 - mmengine - INFO - Epoch(train) [209][420/1879] lr: 1.0000e-04 eta: 10:47:41 time: 0.4299 data_time: 0.0157 memory: 17087 grad_norm: 7.0028 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8171 loss: 0.8171 2022/08/05 09:18:58 - mmengine - INFO - Epoch(train) [209][440/1879] lr: 1.0000e-04 eta: 10:47:33 time: 0.4306 data_time: 0.0160 memory: 17087 grad_norm: 6.9317 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7486 loss: 0.7486 2022/08/05 09:19:07 - mmengine - INFO - Epoch(train) [209][460/1879] lr: 1.0000e-04 eta: 10:47:24 time: 0.4380 data_time: 0.0176 memory: 17087 grad_norm: 6.7915 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7619 loss: 0.7619 2022/08/05 09:19:16 - mmengine - INFO - Epoch(train) [209][480/1879] lr: 1.0000e-04 eta: 10:47:15 time: 0.4310 data_time: 0.0179 memory: 17087 grad_norm: 6.9131 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7615 loss: 0.7615 2022/08/05 09:19:24 - mmengine - INFO - Epoch(train) [209][500/1879] lr: 1.0000e-04 eta: 10:47:07 time: 0.4369 data_time: 0.0158 memory: 17087 grad_norm: 7.0712 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8228 loss: 0.8228 2022/08/05 09:19:33 - mmengine - INFO - Epoch(train) [209][520/1879] lr: 1.0000e-04 eta: 10:46:58 time: 0.4318 data_time: 0.0167 memory: 17087 grad_norm: 6.9320 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8808 loss: 0.8808 2022/08/05 09:19:42 - mmengine - INFO - Epoch(train) [209][540/1879] lr: 1.0000e-04 eta: 10:46:49 time: 0.4322 data_time: 0.0149 memory: 17087 grad_norm: 7.2993 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8850 loss: 0.8850 2022/08/05 09:19:50 - mmengine - INFO - Epoch(train) [209][560/1879] lr: 1.0000e-04 eta: 10:46:41 time: 0.4305 data_time: 0.0166 memory: 17087 grad_norm: 6.8050 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9229 loss: 0.9229 2022/08/05 09:19:59 - mmengine - INFO - Epoch(train) [209][580/1879] lr: 1.0000e-04 eta: 10:46:32 time: 0.4300 data_time: 0.0142 memory: 17087 grad_norm: 6.9852 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8910 loss: 0.8910 2022/08/05 09:20:08 - mmengine - INFO - Epoch(train) [209][600/1879] lr: 1.0000e-04 eta: 10:46:23 time: 0.4361 data_time: 0.0161 memory: 17087 grad_norm: 7.1253 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9322 loss: 0.9322 2022/08/05 09:20:16 - mmengine - INFO - Epoch(train) [209][620/1879] lr: 1.0000e-04 eta: 10:46:15 time: 0.4294 data_time: 0.0152 memory: 17087 grad_norm: 7.0713 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6740 loss: 0.6740 2022/08/05 09:20:25 - mmengine - INFO - Epoch(train) [209][640/1879] lr: 1.0000e-04 eta: 10:46:06 time: 0.4340 data_time: 0.0171 memory: 17087 grad_norm: 6.8176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7455 loss: 0.7455 2022/08/05 09:20:34 - mmengine - INFO - Epoch(train) [209][660/1879] lr: 1.0000e-04 eta: 10:45:57 time: 0.4304 data_time: 0.0141 memory: 17087 grad_norm: 7.0297 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8062 loss: 0.8062 2022/08/05 09:20:43 - mmengine - INFO - Epoch(train) [209][680/1879] lr: 1.0000e-04 eta: 10:45:49 time: 0.4501 data_time: 0.0175 memory: 17087 grad_norm: 6.9974 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7231 loss: 0.7231 2022/08/05 09:20:51 - mmengine - INFO - Epoch(train) [209][700/1879] lr: 1.0000e-04 eta: 10:45:40 time: 0.4299 data_time: 0.0154 memory: 17087 grad_norm: 7.0072 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.9419 loss: 0.9419 2022/08/05 09:21:00 - mmengine - INFO - Epoch(train) [209][720/1879] lr: 1.0000e-04 eta: 10:45:32 time: 0.4310 data_time: 0.0170 memory: 17087 grad_norm: 6.8418 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8043 loss: 0.8043 2022/08/05 09:21:09 - mmengine - INFO - Epoch(train) [209][740/1879] lr: 1.0000e-04 eta: 10:45:23 time: 0.4351 data_time: 0.0158 memory: 17087 grad_norm: 6.7348 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7851 loss: 0.7851 2022/08/05 09:21:17 - mmengine - INFO - Epoch(train) [209][760/1879] lr: 1.0000e-04 eta: 10:45:14 time: 0.4317 data_time: 0.0182 memory: 17087 grad_norm: 6.8919 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8156 loss: 0.8156 2022/08/05 09:21:26 - mmengine - INFO - Epoch(train) [209][780/1879] lr: 1.0000e-04 eta: 10:45:06 time: 0.4321 data_time: 0.0163 memory: 17087 grad_norm: 6.8758 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7646 loss: 0.7646 2022/08/05 09:21:35 - mmengine - INFO - Epoch(train) [209][800/1879] lr: 1.0000e-04 eta: 10:44:57 time: 0.4320 data_time: 0.0172 memory: 17087 grad_norm: 7.0524 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7852 loss: 0.7852 2022/08/05 09:21:44 - mmengine - INFO - Epoch(train) [209][820/1879] lr: 1.0000e-04 eta: 10:44:48 time: 0.4465 data_time: 0.0157 memory: 17087 grad_norm: 6.6849 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7498 loss: 0.7498 2022/08/05 09:21:52 - mmengine - INFO - Epoch(train) [209][840/1879] lr: 1.0000e-04 eta: 10:44:40 time: 0.4321 data_time: 0.0179 memory: 17087 grad_norm: 7.0471 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7741 loss: 0.7741 2022/08/05 09:22:01 - mmengine - INFO - Epoch(train) [209][860/1879] lr: 1.0000e-04 eta: 10:44:31 time: 0.4325 data_time: 0.0150 memory: 17087 grad_norm: 6.9797 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7378 loss: 0.7378 2022/08/05 09:22:10 - mmengine - INFO - Epoch(train) [209][880/1879] lr: 1.0000e-04 eta: 10:44:22 time: 0.4485 data_time: 0.0163 memory: 17087 grad_norm: 7.1016 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9868 loss: 0.9868 2022/08/05 09:22:18 - mmengine - INFO - Epoch(train) [209][900/1879] lr: 1.0000e-04 eta: 10:44:14 time: 0.4293 data_time: 0.0146 memory: 17087 grad_norm: 7.0146 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8272 loss: 0.8272 2022/08/05 09:22:27 - mmengine - INFO - Epoch(train) [209][920/1879] lr: 1.0000e-04 eta: 10:44:05 time: 0.4394 data_time: 0.0172 memory: 17087 grad_norm: 7.0422 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9200 loss: 0.9200 2022/08/05 09:22:36 - mmengine - INFO - Epoch(train) [209][940/1879] lr: 1.0000e-04 eta: 10:43:56 time: 0.4344 data_time: 0.0159 memory: 17087 grad_norm: 7.0378 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7362 loss: 0.7362 2022/08/05 09:22:45 - mmengine - INFO - Epoch(train) [209][960/1879] lr: 1.0000e-04 eta: 10:43:48 time: 0.4556 data_time: 0.0172 memory: 17087 grad_norm: 6.8725 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8836 loss: 0.8836 2022/08/05 09:22:54 - mmengine - INFO - Epoch(train) [209][980/1879] lr: 1.0000e-04 eta: 10:43:39 time: 0.4317 data_time: 0.0138 memory: 17087 grad_norm: 6.9359 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9399 loss: 0.9399 2022/08/05 09:23:03 - mmengine - INFO - Epoch(train) [209][1000/1879] lr: 1.0000e-04 eta: 10:43:31 time: 0.4580 data_time: 0.0181 memory: 17087 grad_norm: 7.3624 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7581 loss: 0.7581 2022/08/05 09:23:12 - mmengine - INFO - Epoch(train) [209][1020/1879] lr: 1.0000e-04 eta: 10:43:22 time: 0.4292 data_time: 0.0141 memory: 17087 grad_norm: 6.7958 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8474 loss: 0.8474 2022/08/05 09:23:20 - mmengine - INFO - Epoch(train) [209][1040/1879] lr: 1.0000e-04 eta: 10:43:13 time: 0.4314 data_time: 0.0157 memory: 17087 grad_norm: 6.9127 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8887 loss: 0.8887 2022/08/05 09:23:29 - mmengine - INFO - Epoch(train) [209][1060/1879] lr: 1.0000e-04 eta: 10:43:05 time: 0.4350 data_time: 0.0155 memory: 17087 grad_norm: 6.9735 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7541 loss: 0.7541 2022/08/05 09:23:38 - mmengine - INFO - Epoch(train) [209][1080/1879] lr: 1.0000e-04 eta: 10:42:56 time: 0.4322 data_time: 0.0170 memory: 17087 grad_norm: 7.0086 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9590 loss: 0.9590 2022/08/05 09:23:46 - mmengine - INFO - Epoch(train) [209][1100/1879] lr: 1.0000e-04 eta: 10:42:47 time: 0.4349 data_time: 0.0159 memory: 17087 grad_norm: 7.2018 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9635 loss: 0.9635 2022/08/05 09:23:55 - mmengine - INFO - Epoch(train) [209][1120/1879] lr: 1.0000e-04 eta: 10:42:39 time: 0.4350 data_time: 0.0173 memory: 17087 grad_norm: 6.7595 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8883 loss: 0.8883 2022/08/05 09:24:04 - mmengine - INFO - Epoch(train) [209][1140/1879] lr: 1.0000e-04 eta: 10:42:30 time: 0.4383 data_time: 0.0154 memory: 17087 grad_norm: 7.2340 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8985 loss: 0.8985 2022/08/05 09:24:12 - mmengine - INFO - Epoch(train) [209][1160/1879] lr: 1.0000e-04 eta: 10:42:21 time: 0.4297 data_time: 0.0163 memory: 17087 grad_norm: 6.9278 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7935 loss: 0.7935 2022/08/05 09:24:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 09:24:21 - mmengine - INFO - Epoch(train) [209][1180/1879] lr: 1.0000e-04 eta: 10:42:13 time: 0.4311 data_time: 0.0160 memory: 17087 grad_norm: 6.9316 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8045 loss: 0.8045 2022/08/05 09:24:30 - mmengine - INFO - Epoch(train) [209][1200/1879] lr: 1.0000e-04 eta: 10:42:04 time: 0.4424 data_time: 0.0159 memory: 17087 grad_norm: 7.2287 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8950 loss: 0.8950 2022/08/05 09:24:39 - mmengine - INFO - Epoch(train) [209][1220/1879] lr: 1.0000e-04 eta: 10:41:56 time: 0.4313 data_time: 0.0156 memory: 17087 grad_norm: 6.9881 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8015 loss: 0.8015 2022/08/05 09:24:47 - mmengine - INFO - Epoch(train) [209][1240/1879] lr: 1.0000e-04 eta: 10:41:47 time: 0.4340 data_time: 0.0165 memory: 17087 grad_norm: 6.8795 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8688 loss: 0.8688 2022/08/05 09:24:56 - mmengine - INFO - Epoch(train) [209][1260/1879] lr: 1.0000e-04 eta: 10:41:38 time: 0.4330 data_time: 0.0166 memory: 17087 grad_norm: 7.0345 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7514 loss: 0.7514 2022/08/05 09:25:05 - mmengine - INFO - Epoch(train) [209][1280/1879] lr: 1.0000e-04 eta: 10:41:30 time: 0.4351 data_time: 0.0168 memory: 17087 grad_norm: 6.7829 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8951 loss: 0.8951 2022/08/05 09:25:13 - mmengine - INFO - Epoch(train) [209][1300/1879] lr: 1.0000e-04 eta: 10:41:21 time: 0.4357 data_time: 0.0182 memory: 17087 grad_norm: 7.1836 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8837 loss: 0.8837 2022/08/05 09:25:22 - mmengine - INFO - Epoch(train) [209][1320/1879] lr: 1.0000e-04 eta: 10:41:12 time: 0.4349 data_time: 0.0161 memory: 17087 grad_norm: 6.9813 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9685 loss: 0.9685 2022/08/05 09:25:31 - mmengine - INFO - Epoch(train) [209][1340/1879] lr: 1.0000e-04 eta: 10:41:04 time: 0.4347 data_time: 0.0194 memory: 17087 grad_norm: 6.8522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7802 loss: 0.7802 2022/08/05 09:25:40 - mmengine - INFO - Epoch(train) [209][1360/1879] lr: 1.0000e-04 eta: 10:40:55 time: 0.4323 data_time: 0.0170 memory: 17087 grad_norm: 6.9759 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8550 loss: 0.8550 2022/08/05 09:25:48 - mmengine - INFO - Epoch(train) [209][1380/1879] lr: 1.0000e-04 eta: 10:40:46 time: 0.4323 data_time: 0.0152 memory: 17087 grad_norm: 7.1653 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8912 loss: 0.8912 2022/08/05 09:25:57 - mmengine - INFO - Epoch(train) [209][1400/1879] lr: 1.0000e-04 eta: 10:40:38 time: 0.4494 data_time: 0.0167 memory: 17087 grad_norm: 7.0769 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7211 loss: 0.7211 2022/08/05 09:26:06 - mmengine - INFO - Epoch(train) [209][1420/1879] lr: 1.0000e-04 eta: 10:40:29 time: 0.4347 data_time: 0.0190 memory: 17087 grad_norm: 7.1717 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6894 loss: 0.6894 2022/08/05 09:26:15 - mmengine - INFO - Epoch(train) [209][1440/1879] lr: 1.0000e-04 eta: 10:40:20 time: 0.4315 data_time: 0.0166 memory: 17087 grad_norm: 7.0886 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8149 loss: 0.8149 2022/08/05 09:26:23 - mmengine - INFO - Epoch(train) [209][1460/1879] lr: 1.0000e-04 eta: 10:40:12 time: 0.4340 data_time: 0.0150 memory: 17087 grad_norm: 6.9881 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9299 loss: 0.9299 2022/08/05 09:26:32 - mmengine - INFO - Epoch(train) [209][1480/1879] lr: 1.0000e-04 eta: 10:40:03 time: 0.4319 data_time: 0.0158 memory: 17087 grad_norm: 6.9175 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7247 loss: 0.7247 2022/08/05 09:26:41 - mmengine - INFO - Epoch(train) [209][1500/1879] lr: 1.0000e-04 eta: 10:39:54 time: 0.4361 data_time: 0.0137 memory: 17087 grad_norm: 7.2190 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8306 loss: 0.8306 2022/08/05 09:26:50 - mmengine - INFO - Epoch(train) [209][1520/1879] lr: 1.0000e-04 eta: 10:39:46 time: 0.4383 data_time: 0.0166 memory: 17087 grad_norm: 7.0908 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6777 loss: 0.6777 2022/08/05 09:26:58 - mmengine - INFO - Epoch(train) [209][1540/1879] lr: 1.0000e-04 eta: 10:39:37 time: 0.4339 data_time: 0.0170 memory: 17087 grad_norm: 7.0999 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8840 loss: 0.8840 2022/08/05 09:27:07 - mmengine - INFO - Epoch(train) [209][1560/1879] lr: 1.0000e-04 eta: 10:39:28 time: 0.4315 data_time: 0.0160 memory: 17087 grad_norm: 7.0644 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7700 loss: 0.7700 2022/08/05 09:27:16 - mmengine - INFO - Epoch(train) [209][1580/1879] lr: 1.0000e-04 eta: 10:39:20 time: 0.4502 data_time: 0.0153 memory: 17087 grad_norm: 7.1738 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7991 loss: 0.7991 2022/08/05 09:27:25 - mmengine - INFO - Epoch(train) [209][1600/1879] lr: 1.0000e-04 eta: 10:39:11 time: 0.4353 data_time: 0.0209 memory: 17087 grad_norm: 7.0814 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8811 loss: 0.8811 2022/08/05 09:27:33 - mmengine - INFO - Epoch(train) [209][1620/1879] lr: 1.0000e-04 eta: 10:39:03 time: 0.4320 data_time: 0.0145 memory: 17087 grad_norm: 7.0493 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8323 loss: 0.8323 2022/08/05 09:27:42 - mmengine - INFO - Epoch(train) [209][1640/1879] lr: 1.0000e-04 eta: 10:38:54 time: 0.4290 data_time: 0.0154 memory: 17087 grad_norm: 6.7613 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8155 loss: 0.8155 2022/08/05 09:27:51 - mmengine - INFO - Epoch(train) [209][1660/1879] lr: 1.0000e-04 eta: 10:38:45 time: 0.4318 data_time: 0.0146 memory: 17087 grad_norm: 6.9659 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8798 loss: 0.8798 2022/08/05 09:27:59 - mmengine - INFO - Epoch(train) [209][1680/1879] lr: 1.0000e-04 eta: 10:38:37 time: 0.4465 data_time: 0.0165 memory: 17087 grad_norm: 6.8518 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7439 loss: 0.7439 2022/08/05 09:28:08 - mmengine - INFO - Epoch(train) [209][1700/1879] lr: 1.0000e-04 eta: 10:38:28 time: 0.4346 data_time: 0.0161 memory: 17087 grad_norm: 7.0933 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8550 loss: 0.8550 2022/08/05 09:28:17 - mmengine - INFO - Epoch(train) [209][1720/1879] lr: 1.0000e-04 eta: 10:38:19 time: 0.4505 data_time: 0.0183 memory: 17087 grad_norm: 6.9941 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8135 loss: 0.8135 2022/08/05 09:28:26 - mmengine - INFO - Epoch(train) [209][1740/1879] lr: 1.0000e-04 eta: 10:38:11 time: 0.4372 data_time: 0.0195 memory: 17087 grad_norm: 7.0707 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8328 loss: 0.8328 2022/08/05 09:28:35 - mmengine - INFO - Epoch(train) [209][1760/1879] lr: 1.0000e-04 eta: 10:38:02 time: 0.4299 data_time: 0.0166 memory: 17087 grad_norm: 7.0972 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8109 loss: 0.8109 2022/08/05 09:28:43 - mmengine - INFO - Epoch(train) [209][1780/1879] lr: 1.0000e-04 eta: 10:37:53 time: 0.4335 data_time: 0.0148 memory: 17087 grad_norm: 7.0097 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9266 loss: 0.9266 2022/08/05 09:28:52 - mmengine - INFO - Epoch(train) [209][1800/1879] lr: 1.0000e-04 eta: 10:37:45 time: 0.4324 data_time: 0.0160 memory: 17087 grad_norm: 7.0893 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8126 loss: 0.8126 2022/08/05 09:29:01 - mmengine - INFO - Epoch(train) [209][1820/1879] lr: 1.0000e-04 eta: 10:37:36 time: 0.4344 data_time: 0.0150 memory: 17087 grad_norm: 7.0738 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7888 loss: 0.7888 2022/08/05 09:29:10 - mmengine - INFO - Epoch(train) [209][1840/1879] lr: 1.0000e-04 eta: 10:37:28 time: 0.4398 data_time: 0.0183 memory: 17087 grad_norm: 6.9531 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7614 loss: 0.7614 2022/08/05 09:29:18 - mmengine - INFO - Epoch(train) [209][1860/1879] lr: 1.0000e-04 eta: 10:37:19 time: 0.4329 data_time: 0.0166 memory: 17087 grad_norm: 6.8707 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7742 loss: 0.7742 2022/08/05 09:29:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 09:29:26 - mmengine - INFO - Epoch(train) [209][1879/1879] lr: 1.0000e-04 eta: 10:37:19 time: 0.4290 data_time: 0.0151 memory: 17087 grad_norm: 7.2291 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7774 loss: 0.7774 2022/08/05 09:29:38 - mmengine - INFO - Epoch(train) [210][20/1879] lr: 1.0000e-04 eta: 10:37:01 time: 0.5656 data_time: 0.1181 memory: 17087 grad_norm: 6.8504 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7943 loss: 0.7943 2022/08/05 09:29:47 - mmengine - INFO - Epoch(train) [210][40/1879] lr: 1.0000e-04 eta: 10:36:52 time: 0.4423 data_time: 0.0165 memory: 17087 grad_norm: 7.0556 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7095 loss: 0.7095 2022/08/05 09:29:55 - mmengine - INFO - Epoch(train) [210][60/1879] lr: 1.0000e-04 eta: 10:36:43 time: 0.4300 data_time: 0.0157 memory: 17087 grad_norm: 6.8738 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9033 loss: 0.9033 2022/08/05 09:30:04 - mmengine - INFO - Epoch(train) [210][80/1879] lr: 1.0000e-04 eta: 10:36:35 time: 0.4345 data_time: 0.0200 memory: 17087 grad_norm: 7.0275 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8634 loss: 0.8634 2022/08/05 09:30:13 - mmengine - INFO - Epoch(train) [210][100/1879] lr: 1.0000e-04 eta: 10:36:26 time: 0.4310 data_time: 0.0129 memory: 17087 grad_norm: 7.1506 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7940 loss: 0.7940 2022/08/05 09:30:21 - mmengine - INFO - Epoch(train) [210][120/1879] lr: 1.0000e-04 eta: 10:36:17 time: 0.4314 data_time: 0.0190 memory: 17087 grad_norm: 7.1793 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8511 loss: 0.8511 2022/08/05 09:30:30 - mmengine - INFO - Epoch(train) [210][140/1879] lr: 1.0000e-04 eta: 10:36:09 time: 0.4406 data_time: 0.0139 memory: 17087 grad_norm: 6.9458 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9355 loss: 0.9355 2022/08/05 09:30:39 - mmengine - INFO - Epoch(train) [210][160/1879] lr: 1.0000e-04 eta: 10:36:00 time: 0.4313 data_time: 0.0165 memory: 17087 grad_norm: 6.9995 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8579 loss: 0.8579 2022/08/05 09:30:48 - mmengine - INFO - Epoch(train) [210][180/1879] lr: 1.0000e-04 eta: 10:35:52 time: 0.4459 data_time: 0.0137 memory: 17087 grad_norm: 6.9592 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7077 loss: 0.7077 2022/08/05 09:30:56 - mmengine - INFO - Epoch(train) [210][200/1879] lr: 1.0000e-04 eta: 10:35:43 time: 0.4370 data_time: 0.0185 memory: 17087 grad_norm: 7.1798 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8502 loss: 0.8502 2022/08/05 09:31:05 - mmengine - INFO - Epoch(train) [210][220/1879] lr: 1.0000e-04 eta: 10:35:34 time: 0.4314 data_time: 0.0145 memory: 17087 grad_norm: 7.0014 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7117 loss: 0.7117 2022/08/05 09:31:14 - mmengine - INFO - Epoch(train) [210][240/1879] lr: 1.0000e-04 eta: 10:35:26 time: 0.4310 data_time: 0.0166 memory: 17087 grad_norm: 6.9730 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8179 loss: 0.8179 2022/08/05 09:31:22 - mmengine - INFO - Epoch(train) [210][260/1879] lr: 1.0000e-04 eta: 10:35:17 time: 0.4309 data_time: 0.0157 memory: 17087 grad_norm: 6.9341 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9380 loss: 0.9380 2022/08/05 09:31:31 - mmengine - INFO - Epoch(train) [210][280/1879] lr: 1.0000e-04 eta: 10:35:08 time: 0.4353 data_time: 0.0164 memory: 17087 grad_norm: 6.9086 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7769 loss: 0.7769 2022/08/05 09:31:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 09:31:40 - mmengine - INFO - Epoch(train) [210][300/1879] lr: 1.0000e-04 eta: 10:35:00 time: 0.4489 data_time: 0.0145 memory: 17087 grad_norm: 6.8163 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7981 loss: 0.7981 2022/08/05 09:31:49 - mmengine - INFO - Epoch(train) [210][320/1879] lr: 1.0000e-04 eta: 10:34:51 time: 0.4311 data_time: 0.0158 memory: 17087 grad_norm: 7.0990 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9317 loss: 0.9317 2022/08/05 09:31:58 - mmengine - INFO - Epoch(train) [210][340/1879] lr: 1.0000e-04 eta: 10:34:42 time: 0.4398 data_time: 0.0218 memory: 17087 grad_norm: 6.8967 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9496 loss: 0.9496 2022/08/05 09:32:06 - mmengine - INFO - Epoch(train) [210][360/1879] lr: 1.0000e-04 eta: 10:34:34 time: 0.4319 data_time: 0.0166 memory: 17087 grad_norm: 6.8693 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.7768 loss: 0.7768 2022/08/05 09:32:15 - mmengine - INFO - Epoch(train) [210][380/1879] lr: 1.0000e-04 eta: 10:34:25 time: 0.4341 data_time: 0.0154 memory: 17087 grad_norm: 7.2006 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6788 loss: 0.6788 2022/08/05 09:32:24 - mmengine - INFO - Epoch(train) [210][400/1879] lr: 1.0000e-04 eta: 10:34:16 time: 0.4323 data_time: 0.0180 memory: 17087 grad_norm: 6.9513 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7812 loss: 0.7812 2022/08/05 09:32:32 - mmengine - INFO - Epoch(train) [210][420/1879] lr: 1.0000e-04 eta: 10:34:08 time: 0.4302 data_time: 0.0144 memory: 17087 grad_norm: 7.2148 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6860 loss: 0.6860 2022/08/05 09:32:41 - mmengine - INFO - Epoch(train) [210][440/1879] lr: 1.0000e-04 eta: 10:33:59 time: 0.4308 data_time: 0.0176 memory: 17087 grad_norm: 7.0044 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8065 loss: 0.8065 2022/08/05 09:32:50 - mmengine - INFO - Epoch(train) [210][460/1879] lr: 1.0000e-04 eta: 10:33:50 time: 0.4318 data_time: 0.0153 memory: 17087 grad_norm: 7.1406 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8893 loss: 0.8893 2022/08/05 09:32:58 - mmengine - INFO - Epoch(train) [210][480/1879] lr: 1.0000e-04 eta: 10:33:42 time: 0.4325 data_time: 0.0165 memory: 17087 grad_norm: 6.9778 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8445 loss: 0.8445 2022/08/05 09:33:07 - mmengine - INFO - Epoch(train) [210][500/1879] lr: 1.0000e-04 eta: 10:33:33 time: 0.4304 data_time: 0.0154 memory: 17087 grad_norm: 7.0084 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0485 loss: 1.0485 2022/08/05 09:33:16 - mmengine - INFO - Epoch(train) [210][520/1879] lr: 1.0000e-04 eta: 10:33:24 time: 0.4374 data_time: 0.0174 memory: 17087 grad_norm: 6.8030 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6548 loss: 0.6548 2022/08/05 09:33:24 - mmengine - INFO - Epoch(train) [210][540/1879] lr: 1.0000e-04 eta: 10:33:16 time: 0.4321 data_time: 0.0162 memory: 17087 grad_norm: 6.8388 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6758 loss: 0.6758 2022/08/05 09:33:33 - mmengine - INFO - Epoch(train) [210][560/1879] lr: 1.0000e-04 eta: 10:33:07 time: 0.4417 data_time: 0.0184 memory: 17087 grad_norm: 7.1842 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6876 loss: 0.6876 2022/08/05 09:33:42 - mmengine - INFO - Epoch(train) [210][580/1879] lr: 1.0000e-04 eta: 10:32:59 time: 0.4311 data_time: 0.0152 memory: 17087 grad_norm: 6.7952 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7268 loss: 0.7268 2022/08/05 09:33:51 - mmengine - INFO - Epoch(train) [210][600/1879] lr: 1.0000e-04 eta: 10:32:50 time: 0.4495 data_time: 0.0173 memory: 17087 grad_norm: 6.9755 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8033 loss: 0.8033 2022/08/05 09:33:59 - mmengine - INFO - Epoch(train) [210][620/1879] lr: 1.0000e-04 eta: 10:32:41 time: 0.4306 data_time: 0.0156 memory: 17087 grad_norm: 6.9770 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9180 loss: 0.9180 2022/08/05 09:34:08 - mmengine - INFO - Epoch(train) [210][640/1879] lr: 1.0000e-04 eta: 10:32:33 time: 0.4395 data_time: 0.0242 memory: 17087 grad_norm: 6.8220 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7999 loss: 0.7999 2022/08/05 09:34:17 - mmengine - INFO - Epoch(train) [210][660/1879] lr: 1.0000e-04 eta: 10:32:24 time: 0.4297 data_time: 0.0148 memory: 17087 grad_norm: 7.0200 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7423 loss: 0.7423 2022/08/05 09:34:26 - mmengine - INFO - Epoch(train) [210][680/1879] lr: 1.0000e-04 eta: 10:32:15 time: 0.4556 data_time: 0.0183 memory: 17087 grad_norm: 6.8312 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8817 loss: 0.8817 2022/08/05 09:34:35 - mmengine - INFO - Epoch(train) [210][700/1879] lr: 1.0000e-04 eta: 10:32:07 time: 0.4334 data_time: 0.0181 memory: 17087 grad_norm: 7.1928 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8043 loss: 0.8043 2022/08/05 09:34:43 - mmengine - INFO - Epoch(train) [210][720/1879] lr: 1.0000e-04 eta: 10:31:58 time: 0.4309 data_time: 0.0166 memory: 17087 grad_norm: 6.8857 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7320 loss: 0.7320 2022/08/05 09:34:52 - mmengine - INFO - Epoch(train) [210][740/1879] lr: 1.0000e-04 eta: 10:31:49 time: 0.4289 data_time: 0.0150 memory: 17087 grad_norm: 6.8231 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7187 loss: 0.7187 2022/08/05 09:35:01 - mmengine - INFO - Epoch(train) [210][760/1879] lr: 1.0000e-04 eta: 10:31:41 time: 0.4310 data_time: 0.0159 memory: 17087 grad_norm: 6.8405 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8183 loss: 0.8183 2022/08/05 09:35:09 - mmengine - INFO - Epoch(train) [210][780/1879] lr: 1.0000e-04 eta: 10:31:32 time: 0.4452 data_time: 0.0171 memory: 17087 grad_norm: 6.7263 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7205 loss: 0.7205 2022/08/05 09:35:18 - mmengine - INFO - Epoch(train) [210][800/1879] lr: 1.0000e-04 eta: 10:31:23 time: 0.4328 data_time: 0.0180 memory: 17087 grad_norm: 7.0951 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8238 loss: 0.8238 2022/08/05 09:35:27 - mmengine - INFO - Epoch(train) [210][820/1879] lr: 1.0000e-04 eta: 10:31:15 time: 0.4349 data_time: 0.0166 memory: 17087 grad_norm: 7.1648 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9538 loss: 0.9538 2022/08/05 09:35:36 - mmengine - INFO - Epoch(train) [210][840/1879] lr: 1.0000e-04 eta: 10:31:06 time: 0.4329 data_time: 0.0156 memory: 17087 grad_norm: 6.8532 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7527 loss: 0.7527 2022/08/05 09:35:45 - mmengine - INFO - Epoch(train) [210][860/1879] lr: 1.0000e-04 eta: 10:30:58 time: 0.4546 data_time: 0.0150 memory: 17087 grad_norm: 6.8881 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8346 loss: 0.8346 2022/08/05 09:35:53 - mmengine - INFO - Epoch(train) [210][880/1879] lr: 1.0000e-04 eta: 10:30:49 time: 0.4364 data_time: 0.0215 memory: 17087 grad_norm: 6.7042 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8966 loss: 0.8966 2022/08/05 09:36:02 - mmengine - INFO - Epoch(train) [210][900/1879] lr: 1.0000e-04 eta: 10:30:40 time: 0.4309 data_time: 0.0154 memory: 17087 grad_norm: 6.9058 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7567 loss: 0.7567 2022/08/05 09:36:11 - mmengine - INFO - Epoch(train) [210][920/1879] lr: 1.0000e-04 eta: 10:30:32 time: 0.4340 data_time: 0.0182 memory: 17087 grad_norm: 6.7232 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7779 loss: 0.7779 2022/08/05 09:36:19 - mmengine - INFO - Epoch(train) [210][940/1879] lr: 1.0000e-04 eta: 10:30:23 time: 0.4296 data_time: 0.0166 memory: 17087 grad_norm: 6.9928 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8099 loss: 0.8099 2022/08/05 09:36:28 - mmengine - INFO - Epoch(train) [210][960/1879] lr: 1.0000e-04 eta: 10:30:14 time: 0.4408 data_time: 0.0168 memory: 17087 grad_norm: 7.3926 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8670 loss: 0.8670 2022/08/05 09:36:37 - mmengine - INFO - Epoch(train) [210][980/1879] lr: 1.0000e-04 eta: 10:30:06 time: 0.4310 data_time: 0.0149 memory: 17087 grad_norm: 6.8846 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8079 loss: 0.8079 2022/08/05 09:36:46 - mmengine - INFO - Epoch(train) [210][1000/1879] lr: 1.0000e-04 eta: 10:29:57 time: 0.4380 data_time: 0.0163 memory: 17087 grad_norm: 7.1036 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.2371 loss: 1.2371 2022/08/05 09:36:54 - mmengine - INFO - Epoch(train) [210][1020/1879] lr: 1.0000e-04 eta: 10:29:48 time: 0.4307 data_time: 0.0151 memory: 17087 grad_norm: 7.1070 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7606 loss: 0.7606 2022/08/05 09:37:03 - mmengine - INFO - Epoch(train) [210][1040/1879] lr: 1.0000e-04 eta: 10:29:40 time: 0.4357 data_time: 0.0160 memory: 17087 grad_norm: 7.0742 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7001 loss: 0.7001 2022/08/05 09:37:12 - mmengine - INFO - Epoch(train) [210][1060/1879] lr: 1.0000e-04 eta: 10:29:31 time: 0.4421 data_time: 0.0136 memory: 17087 grad_norm: 7.1638 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7960 loss: 0.7960 2022/08/05 09:37:20 - mmengine - INFO - Epoch(train) [210][1080/1879] lr: 1.0000e-04 eta: 10:29:22 time: 0.4289 data_time: 0.0160 memory: 17087 grad_norm: 7.1532 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7612 loss: 0.7612 2022/08/05 09:37:29 - mmengine - INFO - Epoch(train) [210][1100/1879] lr: 1.0000e-04 eta: 10:29:14 time: 0.4347 data_time: 0.0150 memory: 17087 grad_norm: 6.7559 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8827 loss: 0.8827 2022/08/05 09:37:38 - mmengine - INFO - Epoch(train) [210][1120/1879] lr: 1.0000e-04 eta: 10:29:05 time: 0.4331 data_time: 0.0167 memory: 17087 grad_norm: 7.2558 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9641 loss: 0.9641 2022/08/05 09:37:47 - mmengine - INFO - Epoch(train) [210][1140/1879] lr: 1.0000e-04 eta: 10:28:57 time: 0.4374 data_time: 0.0151 memory: 17087 grad_norm: 6.9699 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9193 loss: 0.9193 2022/08/05 09:37:55 - mmengine - INFO - Epoch(train) [210][1160/1879] lr: 1.0000e-04 eta: 10:28:48 time: 0.4340 data_time: 0.0167 memory: 17087 grad_norm: 6.9111 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9026 loss: 0.9026 2022/08/05 09:38:04 - mmengine - INFO - Epoch(train) [210][1180/1879] lr: 1.0000e-04 eta: 10:28:39 time: 0.4417 data_time: 0.0181 memory: 17087 grad_norm: 7.1191 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7318 loss: 0.7318 2022/08/05 09:38:13 - mmengine - INFO - Epoch(train) [210][1200/1879] lr: 1.0000e-04 eta: 10:28:31 time: 0.4296 data_time: 0.0174 memory: 17087 grad_norm: 6.9555 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8363 loss: 0.8363 2022/08/05 09:38:21 - mmengine - INFO - Epoch(train) [210][1220/1879] lr: 1.0000e-04 eta: 10:28:22 time: 0.4316 data_time: 0.0155 memory: 17087 grad_norm: 7.2404 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9225 loss: 0.9225 2022/08/05 09:38:30 - mmengine - INFO - Epoch(train) [210][1240/1879] lr: 1.0000e-04 eta: 10:28:13 time: 0.4309 data_time: 0.0174 memory: 17087 grad_norm: 7.2111 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8094 loss: 0.8094 2022/08/05 09:38:39 - mmengine - INFO - Epoch(train) [210][1260/1879] lr: 1.0000e-04 eta: 10:28:05 time: 0.4293 data_time: 0.0150 memory: 17087 grad_norm: 6.8565 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7262 loss: 0.7262 2022/08/05 09:38:48 - mmengine - INFO - Epoch(train) [210][1280/1879] lr: 1.0000e-04 eta: 10:27:56 time: 0.4415 data_time: 0.0170 memory: 17087 grad_norm: 7.2419 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8243 loss: 0.8243 2022/08/05 09:38:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 09:38:56 - mmengine - INFO - Epoch(train) [210][1300/1879] lr: 1.0000e-04 eta: 10:27:47 time: 0.4295 data_time: 0.0137 memory: 17087 grad_norm: 7.1895 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9133 loss: 0.9133 2022/08/05 09:39:05 - mmengine - INFO - Epoch(train) [210][1320/1879] lr: 1.0000e-04 eta: 10:27:39 time: 0.4500 data_time: 0.0166 memory: 17087 grad_norm: 6.7230 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6404 loss: 0.6404 2022/08/05 09:39:14 - mmengine - INFO - Epoch(train) [210][1340/1879] lr: 1.0000e-04 eta: 10:27:30 time: 0.4296 data_time: 0.0156 memory: 17087 grad_norm: 6.9659 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9435 loss: 0.9435 2022/08/05 09:39:22 - mmengine - INFO - Epoch(train) [210][1360/1879] lr: 1.0000e-04 eta: 10:27:21 time: 0.4317 data_time: 0.0159 memory: 17087 grad_norm: 6.9667 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9167 loss: 0.9167 2022/08/05 09:39:31 - mmengine - INFO - Epoch(train) [210][1380/1879] lr: 1.0000e-04 eta: 10:27:13 time: 0.4332 data_time: 0.0157 memory: 17087 grad_norm: 7.1879 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9210 loss: 0.9210 2022/08/05 09:39:40 - mmengine - INFO - Epoch(train) [210][1400/1879] lr: 1.0000e-04 eta: 10:27:04 time: 0.4316 data_time: 0.0159 memory: 17087 grad_norm: 6.9637 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7723 loss: 0.7723 2022/08/05 09:39:49 - mmengine - INFO - Epoch(train) [210][1420/1879] lr: 1.0000e-04 eta: 10:26:55 time: 0.4349 data_time: 0.0168 memory: 17087 grad_norm: 6.8606 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8978 loss: 0.8978 2022/08/05 09:39:57 - mmengine - INFO - Epoch(train) [210][1440/1879] lr: 1.0000e-04 eta: 10:26:47 time: 0.4304 data_time: 0.0156 memory: 17087 grad_norm: 6.6887 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8274 loss: 0.8274 2022/08/05 09:40:06 - mmengine - INFO - Epoch(train) [210][1460/1879] lr: 1.0000e-04 eta: 10:26:38 time: 0.4415 data_time: 0.0165 memory: 17087 grad_norm: 6.7552 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9720 loss: 0.9720 2022/08/05 09:40:15 - mmengine - INFO - Epoch(train) [210][1480/1879] lr: 1.0000e-04 eta: 10:26:29 time: 0.4313 data_time: 0.0172 memory: 17087 grad_norm: 7.3770 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8813 loss: 0.8813 2022/08/05 09:40:23 - mmengine - INFO - Epoch(train) [210][1500/1879] lr: 1.0000e-04 eta: 10:26:21 time: 0.4367 data_time: 0.0149 memory: 17087 grad_norm: 6.9225 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6544 loss: 0.6544 2022/08/05 09:40:32 - mmengine - INFO - Epoch(train) [210][1520/1879] lr: 1.0000e-04 eta: 10:26:12 time: 0.4469 data_time: 0.0173 memory: 17087 grad_norm: 6.9545 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8578 loss: 0.8578 2022/08/05 09:40:41 - mmengine - INFO - Epoch(train) [210][1540/1879] lr: 1.0000e-04 eta: 10:26:04 time: 0.4300 data_time: 0.0163 memory: 17087 grad_norm: 6.9645 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8281 loss: 0.8281 2022/08/05 09:40:50 - mmengine - INFO - Epoch(train) [210][1560/1879] lr: 1.0000e-04 eta: 10:25:55 time: 0.4469 data_time: 0.0170 memory: 17087 grad_norm: 6.9224 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7606 loss: 0.7606 2022/08/05 09:40:59 - mmengine - INFO - Epoch(train) [210][1580/1879] lr: 1.0000e-04 eta: 10:25:46 time: 0.4322 data_time: 0.0154 memory: 17087 grad_norm: 7.0116 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8404 loss: 0.8404 2022/08/05 09:41:08 - mmengine - INFO - Epoch(train) [210][1600/1879] lr: 1.0000e-04 eta: 10:25:38 time: 0.4567 data_time: 0.0176 memory: 17087 grad_norm: 7.2377 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8700 loss: 0.8700 2022/08/05 09:41:16 - mmengine - INFO - Epoch(train) [210][1620/1879] lr: 1.0000e-04 eta: 10:25:29 time: 0.4314 data_time: 0.0153 memory: 17087 grad_norm: 6.7316 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8011 loss: 0.8011 2022/08/05 09:41:25 - mmengine - INFO - Epoch(train) [210][1640/1879] lr: 1.0000e-04 eta: 10:25:20 time: 0.4403 data_time: 0.0172 memory: 17087 grad_norm: 6.9660 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8633 loss: 0.8633 2022/08/05 09:41:34 - mmengine - INFO - Epoch(train) [210][1660/1879] lr: 1.0000e-04 eta: 10:25:12 time: 0.4320 data_time: 0.0167 memory: 17087 grad_norm: 6.7542 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8335 loss: 0.8335 2022/08/05 09:41:43 - mmengine - INFO - Epoch(train) [210][1680/1879] lr: 1.0000e-04 eta: 10:25:03 time: 0.4314 data_time: 0.0160 memory: 17087 grad_norm: 6.8736 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7942 loss: 0.7942 2022/08/05 09:41:52 - mmengine - INFO - Epoch(train) [210][1700/1879] lr: 1.0000e-04 eta: 10:24:55 time: 0.4511 data_time: 0.0167 memory: 17087 grad_norm: 7.1402 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8197 loss: 0.8197 2022/08/05 09:42:00 - mmengine - INFO - Epoch(train) [210][1720/1879] lr: 1.0000e-04 eta: 10:24:46 time: 0.4302 data_time: 0.0164 memory: 17087 grad_norm: 7.0495 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7068 loss: 0.7068 2022/08/05 09:42:09 - mmengine - INFO - Epoch(train) [210][1740/1879] lr: 1.0000e-04 eta: 10:24:37 time: 0.4509 data_time: 0.0165 memory: 17087 grad_norm: 7.1078 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8667 loss: 0.8667 2022/08/05 09:42:18 - mmengine - INFO - Epoch(train) [210][1760/1879] lr: 1.0000e-04 eta: 10:24:29 time: 0.4346 data_time: 0.0163 memory: 17087 grad_norm: 7.0093 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6957 loss: 0.6957 2022/08/05 09:42:27 - mmengine - INFO - Epoch(train) [210][1780/1879] lr: 1.0000e-04 eta: 10:24:20 time: 0.4309 data_time: 0.0157 memory: 17087 grad_norm: 7.0093 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8117 loss: 0.8117 2022/08/05 09:42:35 - mmengine - INFO - Epoch(train) [210][1800/1879] lr: 1.0000e-04 eta: 10:24:11 time: 0.4315 data_time: 0.0163 memory: 17087 grad_norm: 6.8476 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9885 loss: 0.9885 2022/08/05 09:42:44 - mmengine - INFO - Epoch(train) [210][1820/1879] lr: 1.0000e-04 eta: 10:24:03 time: 0.4403 data_time: 0.0158 memory: 17087 grad_norm: 6.9155 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7841 loss: 0.7841 2022/08/05 09:42:53 - mmengine - INFO - Epoch(train) [210][1840/1879] lr: 1.0000e-04 eta: 10:23:54 time: 0.4308 data_time: 0.0181 memory: 17087 grad_norm: 7.2155 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7127 loss: 0.7127 2022/08/05 09:43:01 - mmengine - INFO - Epoch(train) [210][1860/1879] lr: 1.0000e-04 eta: 10:23:45 time: 0.4294 data_time: 0.0149 memory: 17087 grad_norm: 7.0394 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8755 loss: 0.8755 2022/08/05 09:43:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 09:43:10 - mmengine - INFO - Epoch(train) [210][1879/1879] lr: 1.0000e-04 eta: 10:23:45 time: 0.4312 data_time: 0.0161 memory: 17087 grad_norm: 7.1087 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8480 loss: 0.8480 2022/08/05 09:43:17 - mmengine - INFO - Epoch(val) [210][20/155] eta: 0:00:49 time: 0.3672 data_time: 0.1982 memory: 2821 2022/08/05 09:43:22 - mmengine - INFO - Epoch(val) [210][40/155] eta: 0:00:27 time: 0.2410 data_time: 0.0742 memory: 2821 2022/08/05 09:43:28 - mmengine - INFO - Epoch(val) [210][60/155] eta: 0:00:29 time: 0.3125 data_time: 0.1437 memory: 2821 2022/08/05 09:43:33 - mmengine - INFO - Epoch(val) [210][80/155] eta: 0:00:19 time: 0.2646 data_time: 0.0978 memory: 2821 2022/08/05 09:43:39 - mmengine - INFO - Epoch(val) [210][100/155] eta: 0:00:16 time: 0.3036 data_time: 0.1340 memory: 2821 2022/08/05 09:43:45 - mmengine - INFO - Epoch(val) [210][120/155] eta: 0:00:10 time: 0.2882 data_time: 0.1208 memory: 2821 2022/08/05 09:43:52 - mmengine - INFO - Epoch(val) [210][140/155] eta: 0:00:05 time: 0.3341 data_time: 0.1670 memory: 2821 2022/08/05 09:43:57 - mmengine - INFO - Epoch(val) [210][155/155] acc/top1: 0.6976 acc/top5: 0.8815 acc/mean1: 0.6974 2022/08/05 09:44:08 - mmengine - INFO - Epoch(train) [211][20/1879] lr: 1.0000e-04 eta: 10:23:27 time: 0.5618 data_time: 0.0892 memory: 17087 grad_norm: 7.0946 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9818 loss: 0.9818 2022/08/05 09:44:17 - mmengine - INFO - Epoch(train) [211][40/1879] lr: 1.0000e-04 eta: 10:23:19 time: 0.4384 data_time: 0.0213 memory: 17087 grad_norm: 6.9426 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9372 loss: 0.9372 2022/08/05 09:44:25 - mmengine - INFO - Epoch(train) [211][60/1879] lr: 1.0000e-04 eta: 10:23:10 time: 0.4317 data_time: 0.0157 memory: 17087 grad_norm: 7.2171 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8615 loss: 0.8615 2022/08/05 09:44:35 - mmengine - INFO - Epoch(train) [211][80/1879] lr: 1.0000e-04 eta: 10:23:01 time: 0.4520 data_time: 0.0161 memory: 17087 grad_norm: 6.7401 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7093 loss: 0.7093 2022/08/05 09:44:43 - mmengine - INFO - Epoch(train) [211][100/1879] lr: 1.0000e-04 eta: 10:22:53 time: 0.4296 data_time: 0.0149 memory: 17087 grad_norm: 6.8915 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8484 loss: 0.8484 2022/08/05 09:44:52 - mmengine - INFO - Epoch(train) [211][120/1879] lr: 1.0000e-04 eta: 10:22:44 time: 0.4363 data_time: 0.0222 memory: 17087 grad_norm: 7.2446 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9481 loss: 0.9481 2022/08/05 09:45:01 - mmengine - INFO - Epoch(train) [211][140/1879] lr: 1.0000e-04 eta: 10:22:35 time: 0.4306 data_time: 0.0168 memory: 17087 grad_norm: 6.8520 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6882 loss: 0.6882 2022/08/05 09:45:09 - mmengine - INFO - Epoch(train) [211][160/1879] lr: 1.0000e-04 eta: 10:22:27 time: 0.4315 data_time: 0.0177 memory: 17087 grad_norm: 6.8210 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7007 loss: 0.7007 2022/08/05 09:45:18 - mmengine - INFO - Epoch(train) [211][180/1879] lr: 1.0000e-04 eta: 10:22:18 time: 0.4283 data_time: 0.0149 memory: 17087 grad_norm: 7.2096 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7943 loss: 0.7943 2022/08/05 09:45:27 - mmengine - INFO - Epoch(train) [211][200/1879] lr: 1.0000e-04 eta: 10:22:09 time: 0.4467 data_time: 0.0162 memory: 17087 grad_norm: 6.8928 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8341 loss: 0.8341 2022/08/05 09:45:36 - mmengine - INFO - Epoch(train) [211][220/1879] lr: 1.0000e-04 eta: 10:22:01 time: 0.4364 data_time: 0.0164 memory: 17087 grad_norm: 7.2144 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8401 loss: 0.8401 2022/08/05 09:45:44 - mmengine - INFO - Epoch(train) [211][240/1879] lr: 1.0000e-04 eta: 10:21:52 time: 0.4329 data_time: 0.0160 memory: 17087 grad_norm: 6.9203 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8960 loss: 0.8960 2022/08/05 09:45:53 - mmengine - INFO - Epoch(train) [211][260/1879] lr: 1.0000e-04 eta: 10:21:43 time: 0.4310 data_time: 0.0140 memory: 17087 grad_norm: 6.8827 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9439 loss: 0.9439 2022/08/05 09:46:02 - mmengine - INFO - Epoch(train) [211][280/1879] lr: 1.0000e-04 eta: 10:21:35 time: 0.4334 data_time: 0.0155 memory: 17087 grad_norm: 6.8619 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8034 loss: 0.8034 2022/08/05 09:46:10 - mmengine - INFO - Epoch(train) [211][300/1879] lr: 1.0000e-04 eta: 10:21:26 time: 0.4346 data_time: 0.0171 memory: 17087 grad_norm: 7.2426 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8606 loss: 0.8606 2022/08/05 09:46:19 - mmengine - INFO - Epoch(train) [211][320/1879] lr: 1.0000e-04 eta: 10:21:17 time: 0.4296 data_time: 0.0162 memory: 17087 grad_norm: 7.2022 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7843 loss: 0.7843 2022/08/05 09:46:28 - mmengine - INFO - Epoch(train) [211][340/1879] lr: 1.0000e-04 eta: 10:21:09 time: 0.4341 data_time: 0.0158 memory: 17087 grad_norm: 6.9947 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7277 loss: 0.7277 2022/08/05 09:46:36 - mmengine - INFO - Epoch(train) [211][360/1879] lr: 1.0000e-04 eta: 10:21:00 time: 0.4308 data_time: 0.0157 memory: 17087 grad_norm: 6.8952 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7533 loss: 0.7533 2022/08/05 09:46:45 - mmengine - INFO - Epoch(train) [211][380/1879] lr: 1.0000e-04 eta: 10:20:52 time: 0.4540 data_time: 0.0160 memory: 17087 grad_norm: 6.8830 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8977 loss: 0.8977 2022/08/05 09:46:54 - mmengine - INFO - Epoch(train) [211][400/1879] lr: 1.0000e-04 eta: 10:20:43 time: 0.4307 data_time: 0.0154 memory: 17087 grad_norm: 7.0756 top1_acc: 0.4375 top5_acc: 0.8750 loss_cls: 0.9796 loss: 0.9796 2022/08/05 09:46:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 09:47:03 - mmengine - INFO - Epoch(train) [211][420/1879] lr: 1.0000e-04 eta: 10:20:34 time: 0.4286 data_time: 0.0152 memory: 17087 grad_norm: 6.8235 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9170 loss: 0.9170 2022/08/05 09:47:11 - mmengine - INFO - Epoch(train) [211][440/1879] lr: 1.0000e-04 eta: 10:20:26 time: 0.4305 data_time: 0.0150 memory: 17087 grad_norm: 7.0719 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8311 loss: 0.8311 2022/08/05 09:47:20 - mmengine - INFO - Epoch(train) [211][460/1879] lr: 1.0000e-04 eta: 10:20:17 time: 0.4294 data_time: 0.0156 memory: 17087 grad_norm: 6.9532 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8070 loss: 0.8070 2022/08/05 09:47:28 - mmengine - INFO - Epoch(train) [211][480/1879] lr: 1.0000e-04 eta: 10:20:08 time: 0.4318 data_time: 0.0164 memory: 17087 grad_norm: 7.0100 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8456 loss: 0.8456 2022/08/05 09:47:37 - mmengine - INFO - Epoch(train) [211][500/1879] lr: 1.0000e-04 eta: 10:20:00 time: 0.4328 data_time: 0.0171 memory: 17087 grad_norm: 7.1275 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7789 loss: 0.7789 2022/08/05 09:47:48 - mmengine - INFO - Epoch(train) [211][520/1879] lr: 1.0000e-04 eta: 10:19:51 time: 0.5257 data_time: 0.0899 memory: 17087 grad_norm: 6.8653 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8576 loss: 0.8576 2022/08/05 09:47:56 - mmengine - INFO - Epoch(train) [211][540/1879] lr: 1.0000e-04 eta: 10:19:43 time: 0.4287 data_time: 0.0127 memory: 17087 grad_norm: 7.0314 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8419 loss: 0.8419 2022/08/05 09:48:05 - mmengine - INFO - Epoch(train) [211][560/1879] lr: 1.0000e-04 eta: 10:19:34 time: 0.4507 data_time: 0.0155 memory: 17087 grad_norm: 6.7962 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6310 loss: 0.6310 2022/08/05 09:48:14 - mmengine - INFO - Epoch(train) [211][580/1879] lr: 1.0000e-04 eta: 10:19:25 time: 0.4313 data_time: 0.0168 memory: 17087 grad_norm: 7.0585 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7032 loss: 0.7032 2022/08/05 09:48:23 - mmengine - INFO - Epoch(train) [211][600/1879] lr: 1.0000e-04 eta: 10:19:17 time: 0.4291 data_time: 0.0143 memory: 17087 grad_norm: 6.8699 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9804 loss: 0.9804 2022/08/05 09:48:31 - mmengine - INFO - Epoch(train) [211][620/1879] lr: 1.0000e-04 eta: 10:19:08 time: 0.4474 data_time: 0.0170 memory: 17087 grad_norm: 6.8559 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8420 loss: 0.8420 2022/08/05 09:48:40 - mmengine - INFO - Epoch(train) [211][640/1879] lr: 1.0000e-04 eta: 10:18:59 time: 0.4337 data_time: 0.0138 memory: 17087 grad_norm: 7.0400 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7178 loss: 0.7178 2022/08/05 09:48:49 - mmengine - INFO - Epoch(train) [211][660/1879] lr: 1.0000e-04 eta: 10:18:51 time: 0.4532 data_time: 0.0178 memory: 17087 grad_norm: 7.2975 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7841 loss: 0.7841 2022/08/05 09:48:58 - mmengine - INFO - Epoch(train) [211][680/1879] lr: 1.0000e-04 eta: 10:18:42 time: 0.4375 data_time: 0.0165 memory: 17087 grad_norm: 7.0985 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0345 loss: 1.0345 2022/08/05 09:49:07 - mmengine - INFO - Epoch(train) [211][700/1879] lr: 1.0000e-04 eta: 10:18:34 time: 0.4456 data_time: 0.0172 memory: 17087 grad_norm: 7.1887 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8147 loss: 0.8147 2022/08/05 09:49:16 - mmengine - INFO - Epoch(train) [211][720/1879] lr: 1.0000e-04 eta: 10:18:25 time: 0.4306 data_time: 0.0177 memory: 17087 grad_norm: 7.0625 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7942 loss: 0.7942 2022/08/05 09:49:24 - mmengine - INFO - Epoch(train) [211][740/1879] lr: 1.0000e-04 eta: 10:18:16 time: 0.4306 data_time: 0.0171 memory: 17087 grad_norm: 7.0205 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7687 loss: 0.7687 2022/08/05 09:49:33 - mmengine - INFO - Epoch(train) [211][760/1879] lr: 1.0000e-04 eta: 10:18:08 time: 0.4298 data_time: 0.0130 memory: 17087 grad_norm: 6.8444 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8157 loss: 0.8157 2022/08/05 09:49:42 - mmengine - INFO - Epoch(train) [211][780/1879] lr: 1.0000e-04 eta: 10:17:59 time: 0.4533 data_time: 0.0188 memory: 17087 grad_norm: 6.9501 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8386 loss: 0.8386 2022/08/05 09:49:51 - mmengine - INFO - Epoch(train) [211][800/1879] lr: 1.0000e-04 eta: 10:17:50 time: 0.4283 data_time: 0.0133 memory: 17087 grad_norm: 6.9216 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9168 loss: 0.9168 2022/08/05 09:49:59 - mmengine - INFO - Epoch(train) [211][820/1879] lr: 1.0000e-04 eta: 10:17:42 time: 0.4436 data_time: 0.0171 memory: 17087 grad_norm: 6.9208 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9135 loss: 0.9135 2022/08/05 09:50:08 - mmengine - INFO - Epoch(train) [211][840/1879] lr: 1.0000e-04 eta: 10:17:33 time: 0.4308 data_time: 0.0134 memory: 17087 grad_norm: 6.8890 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7771 loss: 0.7771 2022/08/05 09:50:17 - mmengine - INFO - Epoch(train) [211][860/1879] lr: 1.0000e-04 eta: 10:17:24 time: 0.4314 data_time: 0.0182 memory: 17087 grad_norm: 7.2827 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0100 loss: 1.0100 2022/08/05 09:50:25 - mmengine - INFO - Epoch(train) [211][880/1879] lr: 1.0000e-04 eta: 10:17:16 time: 0.4354 data_time: 0.0157 memory: 17087 grad_norm: 6.8806 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.0506 loss: 1.0506 2022/08/05 09:50:34 - mmengine - INFO - Epoch(train) [211][900/1879] lr: 1.0000e-04 eta: 10:17:07 time: 0.4317 data_time: 0.0163 memory: 17087 grad_norm: 7.1601 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8008 loss: 0.8008 2022/08/05 09:50:43 - mmengine - INFO - Epoch(train) [211][920/1879] lr: 1.0000e-04 eta: 10:16:59 time: 0.4458 data_time: 0.0137 memory: 17087 grad_norm: 7.2759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7013 loss: 0.7013 2022/08/05 09:50:52 - mmengine - INFO - Epoch(train) [211][940/1879] lr: 1.0000e-04 eta: 10:16:50 time: 0.4309 data_time: 0.0163 memory: 17087 grad_norm: 6.8101 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6559 loss: 0.6559 2022/08/05 09:51:00 - mmengine - INFO - Epoch(train) [211][960/1879] lr: 1.0000e-04 eta: 10:16:41 time: 0.4274 data_time: 0.0130 memory: 17087 grad_norm: 7.2128 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9834 loss: 0.9834 2022/08/05 09:51:09 - mmengine - INFO - Epoch(train) [211][980/1879] lr: 1.0000e-04 eta: 10:16:33 time: 0.4370 data_time: 0.0179 memory: 17087 grad_norm: 6.7977 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7318 loss: 0.7318 2022/08/05 09:51:18 - mmengine - INFO - Epoch(train) [211][1000/1879] lr: 1.0000e-04 eta: 10:16:24 time: 0.4308 data_time: 0.0155 memory: 17087 grad_norm: 7.0892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6921 loss: 0.6921 2022/08/05 09:51:26 - mmengine - INFO - Epoch(train) [211][1020/1879] lr: 1.0000e-04 eta: 10:16:15 time: 0.4344 data_time: 0.0199 memory: 17087 grad_norm: 6.8688 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8100 loss: 0.8100 2022/08/05 09:51:35 - mmengine - INFO - Epoch(train) [211][1040/1879] lr: 1.0000e-04 eta: 10:16:07 time: 0.4316 data_time: 0.0161 memory: 17087 grad_norm: 7.0408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9227 loss: 0.9227 2022/08/05 09:51:44 - mmengine - INFO - Epoch(train) [211][1060/1879] lr: 1.0000e-04 eta: 10:15:58 time: 0.4318 data_time: 0.0172 memory: 17087 grad_norm: 6.7520 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8425 loss: 0.8425 2022/08/05 09:51:52 - mmengine - INFO - Epoch(train) [211][1080/1879] lr: 1.0000e-04 eta: 10:15:49 time: 0.4300 data_time: 0.0141 memory: 17087 grad_norm: 7.0167 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9612 loss: 0.9612 2022/08/05 09:52:01 - mmengine - INFO - Epoch(train) [211][1100/1879] lr: 1.0000e-04 eta: 10:15:41 time: 0.4398 data_time: 0.0219 memory: 17087 grad_norm: 7.0698 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8471 loss: 0.8471 2022/08/05 09:52:10 - mmengine - INFO - Epoch(train) [211][1120/1879] lr: 1.0000e-04 eta: 10:15:32 time: 0.4320 data_time: 0.0155 memory: 17087 grad_norm: 7.2874 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9565 loss: 0.9565 2022/08/05 09:52:19 - mmengine - INFO - Epoch(train) [211][1140/1879] lr: 1.0000e-04 eta: 10:15:23 time: 0.4377 data_time: 0.0197 memory: 17087 grad_norm: 6.9688 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7512 loss: 0.7512 2022/08/05 09:52:27 - mmengine - INFO - Epoch(train) [211][1160/1879] lr: 1.0000e-04 eta: 10:15:15 time: 0.4296 data_time: 0.0153 memory: 17087 grad_norm: 6.9750 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9396 loss: 0.9396 2022/08/05 09:52:36 - mmengine - INFO - Epoch(train) [211][1180/1879] lr: 1.0000e-04 eta: 10:15:06 time: 0.4370 data_time: 0.0186 memory: 17087 grad_norm: 6.9574 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8956 loss: 0.8956 2022/08/05 09:52:45 - mmengine - INFO - Epoch(train) [211][1200/1879] lr: 1.0000e-04 eta: 10:14:57 time: 0.4297 data_time: 0.0151 memory: 17087 grad_norm: 6.9947 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0706 loss: 1.0706 2022/08/05 09:52:53 - mmengine - INFO - Epoch(train) [211][1220/1879] lr: 1.0000e-04 eta: 10:14:49 time: 0.4312 data_time: 0.0167 memory: 17087 grad_norm: 7.0412 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7649 loss: 0.7649 2022/08/05 09:53:02 - mmengine - INFO - Epoch(train) [211][1240/1879] lr: 1.0000e-04 eta: 10:14:40 time: 0.4500 data_time: 0.0133 memory: 17087 grad_norm: 7.1005 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8046 loss: 0.8046 2022/08/05 09:53:11 - mmengine - INFO - Epoch(train) [211][1260/1879] lr: 1.0000e-04 eta: 10:14:31 time: 0.4298 data_time: 0.0165 memory: 17087 grad_norm: 7.3142 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9027 loss: 0.9027 2022/08/05 09:53:20 - mmengine - INFO - Epoch(train) [211][1280/1879] lr: 1.0000e-04 eta: 10:14:23 time: 0.4363 data_time: 0.0212 memory: 17087 grad_norm: 7.0430 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7004 loss: 0.7004 2022/08/05 09:53:28 - mmengine - INFO - Epoch(train) [211][1300/1879] lr: 1.0000e-04 eta: 10:14:14 time: 0.4341 data_time: 0.0181 memory: 17087 grad_norm: 7.0562 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9413 loss: 0.9413 2022/08/05 09:53:37 - mmengine - INFO - Epoch(train) [211][1320/1879] lr: 1.0000e-04 eta: 10:14:05 time: 0.4336 data_time: 0.0147 memory: 17087 grad_norm: 6.8943 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8353 loss: 0.8353 2022/08/05 09:53:46 - mmengine - INFO - Epoch(train) [211][1340/1879] lr: 1.0000e-04 eta: 10:13:57 time: 0.4486 data_time: 0.0189 memory: 17087 grad_norm: 7.1222 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8020 loss: 0.8020 2022/08/05 09:53:55 - mmengine - INFO - Epoch(train) [211][1360/1879] lr: 1.0000e-04 eta: 10:13:48 time: 0.4334 data_time: 0.0154 memory: 17087 grad_norm: 6.9533 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7581 loss: 0.7581 2022/08/05 09:54:03 - mmengine - INFO - Epoch(train) [211][1380/1879] lr: 1.0000e-04 eta: 10:13:40 time: 0.4362 data_time: 0.0173 memory: 17087 grad_norm: 7.1313 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7901 loss: 0.7901 2022/08/05 09:54:12 - mmengine - INFO - Epoch(train) [211][1400/1879] lr: 1.0000e-04 eta: 10:13:31 time: 0.4303 data_time: 0.0141 memory: 17087 grad_norm: 7.1386 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7928 loss: 0.7928 2022/08/05 09:54:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 09:54:21 - mmengine - INFO - Epoch(train) [211][1420/1879] lr: 1.0000e-04 eta: 10:13:22 time: 0.4394 data_time: 0.0221 memory: 17087 grad_norm: 7.1423 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8061 loss: 0.8061 2022/08/05 09:54:29 - mmengine - INFO - Epoch(train) [211][1440/1879] lr: 1.0000e-04 eta: 10:13:14 time: 0.4282 data_time: 0.0142 memory: 17087 grad_norm: 6.9578 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7797 loss: 0.7797 2022/08/05 09:54:39 - mmengine - INFO - Epoch(train) [211][1460/1879] lr: 1.0000e-04 eta: 10:13:05 time: 0.4565 data_time: 0.0184 memory: 17087 grad_norm: 6.7937 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7946 loss: 0.7946 2022/08/05 09:54:48 - mmengine - INFO - Epoch(train) [211][1480/1879] lr: 1.0000e-04 eta: 10:12:56 time: 0.4415 data_time: 0.0157 memory: 17087 grad_norm: 6.8241 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8802 loss: 0.8802 2022/08/05 09:54:56 - mmengine - INFO - Epoch(train) [211][1500/1879] lr: 1.0000e-04 eta: 10:12:48 time: 0.4389 data_time: 0.0220 memory: 17087 grad_norm: 6.8523 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8359 loss: 0.8359 2022/08/05 09:55:05 - mmengine - INFO - Epoch(train) [211][1520/1879] lr: 1.0000e-04 eta: 10:12:39 time: 0.4310 data_time: 0.0149 memory: 17087 grad_norm: 7.0539 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7445 loss: 0.7445 2022/08/05 09:55:14 - mmengine - INFO - Epoch(train) [211][1540/1879] lr: 1.0000e-04 eta: 10:12:30 time: 0.4321 data_time: 0.0160 memory: 17087 grad_norm: 6.9478 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8067 loss: 0.8067 2022/08/05 09:55:22 - mmengine - INFO - Epoch(train) [211][1560/1879] lr: 1.0000e-04 eta: 10:12:22 time: 0.4389 data_time: 0.0159 memory: 17087 grad_norm: 6.8676 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8441 loss: 0.8441 2022/08/05 09:55:31 - mmengine - INFO - Epoch(train) [211][1580/1879] lr: 1.0000e-04 eta: 10:12:13 time: 0.4435 data_time: 0.0168 memory: 17087 grad_norm: 6.8098 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8886 loss: 0.8886 2022/08/05 09:55:40 - mmengine - INFO - Epoch(train) [211][1600/1879] lr: 1.0000e-04 eta: 10:12:05 time: 0.4327 data_time: 0.0152 memory: 17087 grad_norm: 7.0511 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7124 loss: 0.7124 2022/08/05 09:55:49 - mmengine - INFO - Epoch(train) [211][1620/1879] lr: 1.0000e-04 eta: 10:11:56 time: 0.4332 data_time: 0.0166 memory: 17087 grad_norm: 6.9592 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8520 loss: 0.8520 2022/08/05 09:55:57 - mmengine - INFO - Epoch(train) [211][1640/1879] lr: 1.0000e-04 eta: 10:11:47 time: 0.4294 data_time: 0.0134 memory: 17087 grad_norm: 6.7858 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7651 loss: 0.7651 2022/08/05 09:56:06 - mmengine - INFO - Epoch(train) [211][1660/1879] lr: 1.0000e-04 eta: 10:11:39 time: 0.4378 data_time: 0.0169 memory: 17087 grad_norm: 6.8896 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8517 loss: 0.8517 2022/08/05 09:56:15 - mmengine - INFO - Epoch(train) [211][1680/1879] lr: 1.0000e-04 eta: 10:11:30 time: 0.4315 data_time: 0.0152 memory: 17087 grad_norm: 6.7238 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9121 loss: 0.9121 2022/08/05 09:56:23 - mmengine - INFO - Epoch(train) [211][1700/1879] lr: 1.0000e-04 eta: 10:11:21 time: 0.4294 data_time: 0.0150 memory: 17087 grad_norm: 6.9947 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7283 loss: 0.7283 2022/08/05 09:56:32 - mmengine - INFO - Epoch(train) [211][1720/1879] lr: 1.0000e-04 eta: 10:11:13 time: 0.4375 data_time: 0.0166 memory: 17087 grad_norm: 6.8376 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7261 loss: 0.7261 2022/08/05 09:56:41 - mmengine - INFO - Epoch(train) [211][1740/1879] lr: 1.0000e-04 eta: 10:11:04 time: 0.4317 data_time: 0.0163 memory: 17087 grad_norm: 7.1473 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9318 loss: 0.9318 2022/08/05 09:56:49 - mmengine - INFO - Epoch(train) [211][1760/1879] lr: 1.0000e-04 eta: 10:10:55 time: 0.4322 data_time: 0.0155 memory: 17087 grad_norm: 6.8576 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9798 loss: 0.9798 2022/08/05 09:56:58 - mmengine - INFO - Epoch(train) [211][1780/1879] lr: 1.0000e-04 eta: 10:10:47 time: 0.4313 data_time: 0.0165 memory: 17087 grad_norm: 6.8693 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7915 loss: 0.7915 2022/08/05 09:57:07 - mmengine - INFO - Epoch(train) [211][1800/1879] lr: 1.0000e-04 eta: 10:10:38 time: 0.4530 data_time: 0.0167 memory: 17087 grad_norm: 7.0480 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8086 loss: 0.8086 2022/08/05 09:57:16 - mmengine - INFO - Epoch(train) [211][1820/1879] lr: 1.0000e-04 eta: 10:10:29 time: 0.4312 data_time: 0.0173 memory: 17087 grad_norm: 6.8612 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7125 loss: 0.7125 2022/08/05 09:57:24 - mmengine - INFO - Epoch(train) [211][1840/1879] lr: 1.0000e-04 eta: 10:10:21 time: 0.4356 data_time: 0.0171 memory: 17087 grad_norm: 7.1485 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9151 loss: 0.9151 2022/08/05 09:57:33 - mmengine - INFO - Epoch(train) [211][1860/1879] lr: 1.0000e-04 eta: 10:10:12 time: 0.4304 data_time: 0.0151 memory: 17087 grad_norm: 7.1710 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9290 loss: 0.9290 2022/08/05 09:57:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 09:57:41 - mmengine - INFO - Epoch(train) [211][1879/1879] lr: 1.0000e-04 eta: 10:10:12 time: 0.4172 data_time: 0.0160 memory: 17087 grad_norm: 7.2874 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7022 loss: 0.7022 2022/08/05 09:57:53 - mmengine - INFO - Epoch(train) [212][20/1879] lr: 1.0000e-04 eta: 10:09:54 time: 0.5754 data_time: 0.1014 memory: 17087 grad_norm: 6.7611 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8025 loss: 0.8025 2022/08/05 09:58:02 - mmengine - INFO - Epoch(train) [212][40/1879] lr: 1.0000e-04 eta: 10:09:45 time: 0.4445 data_time: 0.0164 memory: 17087 grad_norm: 7.0166 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7295 loss: 0.7295 2022/08/05 09:58:10 - mmengine - INFO - Epoch(train) [212][60/1879] lr: 1.0000e-04 eta: 10:09:37 time: 0.4413 data_time: 0.0163 memory: 17087 grad_norm: 7.1232 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0454 loss: 1.0454 2022/08/05 09:58:19 - mmengine - INFO - Epoch(train) [212][80/1879] lr: 1.0000e-04 eta: 10:09:28 time: 0.4334 data_time: 0.0170 memory: 17087 grad_norm: 6.8935 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8956 loss: 0.8956 2022/08/05 09:58:28 - mmengine - INFO - Epoch(train) [212][100/1879] lr: 1.0000e-04 eta: 10:09:19 time: 0.4305 data_time: 0.0159 memory: 17087 grad_norm: 7.3022 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7999 loss: 0.7999 2022/08/05 09:58:37 - mmengine - INFO - Epoch(train) [212][120/1879] lr: 1.0000e-04 eta: 10:09:11 time: 0.4456 data_time: 0.0296 memory: 17087 grad_norm: 7.1116 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0324 loss: 1.0324 2022/08/05 09:58:45 - mmengine - INFO - Epoch(train) [212][140/1879] lr: 1.0000e-04 eta: 10:09:02 time: 0.4410 data_time: 0.0150 memory: 17087 grad_norm: 6.9334 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8132 loss: 0.8132 2022/08/05 09:58:54 - mmengine - INFO - Epoch(train) [212][160/1879] lr: 1.0000e-04 eta: 10:08:54 time: 0.4311 data_time: 0.0172 memory: 17087 grad_norm: 7.1709 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8645 loss: 0.8645 2022/08/05 09:59:03 - mmengine - INFO - Epoch(train) [212][180/1879] lr: 1.0000e-04 eta: 10:08:45 time: 0.4311 data_time: 0.0149 memory: 17087 grad_norm: 7.0781 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9575 loss: 0.9575 2022/08/05 09:59:12 - mmengine - INFO - Epoch(train) [212][200/1879] lr: 1.0000e-04 eta: 10:08:36 time: 0.4649 data_time: 0.0218 memory: 17087 grad_norm: 6.9710 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7929 loss: 0.7929 2022/08/05 09:59:21 - mmengine - INFO - Epoch(train) [212][220/1879] lr: 1.0000e-04 eta: 10:08:28 time: 0.4291 data_time: 0.0149 memory: 17087 grad_norm: 7.0982 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9408 loss: 0.9408 2022/08/05 09:59:30 - mmengine - INFO - Epoch(train) [212][240/1879] lr: 1.0000e-04 eta: 10:08:19 time: 0.4713 data_time: 0.0231 memory: 17087 grad_norm: 7.0350 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8968 loss: 0.8968 2022/08/05 09:59:39 - mmengine - INFO - Epoch(train) [212][260/1879] lr: 1.0000e-04 eta: 10:08:11 time: 0.4300 data_time: 0.0142 memory: 17087 grad_norm: 7.0882 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8491 loss: 0.8491 2022/08/05 09:59:48 - mmengine - INFO - Epoch(train) [212][280/1879] lr: 1.0000e-04 eta: 10:08:02 time: 0.4600 data_time: 0.0238 memory: 17087 grad_norm: 7.0599 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9067 loss: 0.9067 2022/08/05 09:59:57 - mmengine - INFO - Epoch(train) [212][300/1879] lr: 1.0000e-04 eta: 10:07:53 time: 0.4327 data_time: 0.0169 memory: 17087 grad_norm: 6.9148 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9655 loss: 0.9655 2022/08/05 10:00:05 - mmengine - INFO - Epoch(train) [212][320/1879] lr: 1.0000e-04 eta: 10:07:45 time: 0.4332 data_time: 0.0168 memory: 17087 grad_norm: 7.1077 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8985 loss: 0.8985 2022/08/05 10:00:14 - mmengine - INFO - Epoch(train) [212][340/1879] lr: 1.0000e-04 eta: 10:07:36 time: 0.4306 data_time: 0.0138 memory: 17087 grad_norm: 6.9319 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8589 loss: 0.8589 2022/08/05 10:00:23 - mmengine - INFO - Epoch(train) [212][360/1879] lr: 1.0000e-04 eta: 10:07:27 time: 0.4341 data_time: 0.0157 memory: 17087 grad_norm: 7.3329 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9776 loss: 0.9776 2022/08/05 10:00:31 - mmengine - INFO - Epoch(train) [212][380/1879] lr: 1.0000e-04 eta: 10:07:19 time: 0.4339 data_time: 0.0167 memory: 17087 grad_norm: 6.6286 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7610 loss: 0.7610 2022/08/05 10:00:40 - mmengine - INFO - Epoch(train) [212][400/1879] lr: 1.0000e-04 eta: 10:07:10 time: 0.4338 data_time: 0.0160 memory: 17087 grad_norm: 7.0449 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8010 loss: 0.8010 2022/08/05 10:00:49 - mmengine - INFO - Epoch(train) [212][420/1879] lr: 1.0000e-04 eta: 10:07:01 time: 0.4366 data_time: 0.0218 memory: 17087 grad_norm: 6.8032 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7871 loss: 0.7871 2022/08/05 10:00:58 - mmengine - INFO - Epoch(train) [212][440/1879] lr: 1.0000e-04 eta: 10:06:53 time: 0.4521 data_time: 0.0174 memory: 17087 grad_norm: 6.8399 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8248 loss: 0.8248 2022/08/05 10:01:07 - mmengine - INFO - Epoch(train) [212][460/1879] lr: 1.0000e-04 eta: 10:06:44 time: 0.4299 data_time: 0.0156 memory: 17087 grad_norm: 6.8048 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8715 loss: 0.8715 2022/08/05 10:01:15 - mmengine - INFO - Epoch(train) [212][480/1879] lr: 1.0000e-04 eta: 10:06:36 time: 0.4313 data_time: 0.0180 memory: 17087 grad_norm: 6.9585 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7020 loss: 0.7020 2022/08/05 10:01:24 - mmengine - INFO - Epoch(train) [212][500/1879] lr: 1.0000e-04 eta: 10:06:27 time: 0.4328 data_time: 0.0158 memory: 17087 grad_norm: 6.8981 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8360 loss: 0.8360 2022/08/05 10:01:33 - mmengine - INFO - Epoch(train) [212][520/1879] lr: 1.0000e-04 eta: 10:06:18 time: 0.4316 data_time: 0.0162 memory: 17087 grad_norm: 7.4282 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.8508 loss: 0.8508 2022/08/05 10:01:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 10:01:41 - mmengine - INFO - Epoch(train) [212][540/1879] lr: 1.0000e-04 eta: 10:06:10 time: 0.4399 data_time: 0.0159 memory: 17087 grad_norm: 6.8672 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8152 loss: 0.8152 2022/08/05 10:01:50 - mmengine - INFO - Epoch(train) [212][560/1879] lr: 1.0000e-04 eta: 10:06:01 time: 0.4329 data_time: 0.0187 memory: 17087 grad_norm: 6.9013 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7732 loss: 0.7732 2022/08/05 10:01:59 - mmengine - INFO - Epoch(train) [212][580/1879] lr: 1.0000e-04 eta: 10:05:52 time: 0.4563 data_time: 0.0157 memory: 17087 grad_norm: 6.5365 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9618 loss: 0.9618 2022/08/05 10:02:08 - mmengine - INFO - Epoch(train) [212][600/1879] lr: 1.0000e-04 eta: 10:05:44 time: 0.4326 data_time: 0.0185 memory: 17087 grad_norm: 6.9813 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6759 loss: 0.6759 2022/08/05 10:02:17 - mmengine - INFO - Epoch(train) [212][620/1879] lr: 1.0000e-04 eta: 10:05:35 time: 0.4332 data_time: 0.0136 memory: 17087 grad_norm: 7.0326 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8590 loss: 0.8590 2022/08/05 10:02:25 - mmengine - INFO - Epoch(train) [212][640/1879] lr: 1.0000e-04 eta: 10:05:26 time: 0.4311 data_time: 0.0160 memory: 17087 grad_norm: 7.1371 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8240 loss: 0.8240 2022/08/05 10:02:34 - mmengine - INFO - Epoch(train) [212][660/1879] lr: 1.0000e-04 eta: 10:05:18 time: 0.4290 data_time: 0.0133 memory: 17087 grad_norm: 6.9295 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9189 loss: 0.9189 2022/08/05 10:02:42 - mmengine - INFO - Epoch(train) [212][680/1879] lr: 1.0000e-04 eta: 10:05:09 time: 0.4343 data_time: 0.0170 memory: 17087 grad_norm: 7.0523 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6703 loss: 0.6703 2022/08/05 10:02:51 - mmengine - INFO - Epoch(train) [212][700/1879] lr: 1.0000e-04 eta: 10:05:00 time: 0.4300 data_time: 0.0136 memory: 17087 grad_norm: 6.7498 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7020 loss: 0.7020 2022/08/05 10:03:00 - mmengine - INFO - Epoch(train) [212][720/1879] lr: 1.0000e-04 eta: 10:04:52 time: 0.4361 data_time: 0.0169 memory: 17087 grad_norm: 6.8783 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7223 loss: 0.7223 2022/08/05 10:03:09 - mmengine - INFO - Epoch(train) [212][740/1879] lr: 1.0000e-04 eta: 10:04:43 time: 0.4345 data_time: 0.0148 memory: 17087 grad_norm: 7.1411 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9417 loss: 0.9417 2022/08/05 10:03:18 - mmengine - INFO - Epoch(train) [212][760/1879] lr: 1.0000e-04 eta: 10:04:35 time: 0.4544 data_time: 0.0175 memory: 17087 grad_norm: 7.0188 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7393 loss: 0.7393 2022/08/05 10:03:26 - mmengine - INFO - Epoch(train) [212][780/1879] lr: 1.0000e-04 eta: 10:04:26 time: 0.4302 data_time: 0.0144 memory: 17087 grad_norm: 7.1132 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7789 loss: 0.7789 2022/08/05 10:03:35 - mmengine - INFO - Epoch(train) [212][800/1879] lr: 1.0000e-04 eta: 10:04:17 time: 0.4309 data_time: 0.0172 memory: 17087 grad_norm: 6.9341 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.9114 loss: 0.9114 2022/08/05 10:03:44 - mmengine - INFO - Epoch(train) [212][820/1879] lr: 1.0000e-04 eta: 10:04:09 time: 0.4386 data_time: 0.0193 memory: 17087 grad_norm: 7.0153 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9290 loss: 0.9290 2022/08/05 10:03:52 - mmengine - INFO - Epoch(train) [212][840/1879] lr: 1.0000e-04 eta: 10:04:00 time: 0.4323 data_time: 0.0161 memory: 17087 grad_norm: 7.1714 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7874 loss: 0.7874 2022/08/05 10:04:01 - mmengine - INFO - Epoch(train) [212][860/1879] lr: 1.0000e-04 eta: 10:03:51 time: 0.4398 data_time: 0.0149 memory: 17087 grad_norm: 7.0429 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9691 loss: 0.9691 2022/08/05 10:04:10 - mmengine - INFO - Epoch(train) [212][880/1879] lr: 1.0000e-04 eta: 10:03:43 time: 0.4315 data_time: 0.0173 memory: 17087 grad_norm: 6.8560 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7305 loss: 0.7305 2022/08/05 10:04:19 - mmengine - INFO - Epoch(train) [212][900/1879] lr: 1.0000e-04 eta: 10:03:34 time: 0.4380 data_time: 0.0140 memory: 17087 grad_norm: 7.0068 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6892 loss: 0.6892 2022/08/05 10:04:27 - mmengine - INFO - Epoch(train) [212][920/1879] lr: 1.0000e-04 eta: 10:03:25 time: 0.4329 data_time: 0.0186 memory: 17087 grad_norm: 7.1225 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9036 loss: 0.9036 2022/08/05 10:04:36 - mmengine - INFO - Epoch(train) [212][940/1879] lr: 1.0000e-04 eta: 10:03:17 time: 0.4453 data_time: 0.0142 memory: 17087 grad_norm: 6.9747 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9673 loss: 0.9673 2022/08/05 10:04:45 - mmengine - INFO - Epoch(train) [212][960/1879] lr: 1.0000e-04 eta: 10:03:08 time: 0.4314 data_time: 0.0170 memory: 17087 grad_norm: 7.0457 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7760 loss: 0.7760 2022/08/05 10:04:54 - mmengine - INFO - Epoch(train) [212][980/1879] lr: 1.0000e-04 eta: 10:02:59 time: 0.4321 data_time: 0.0133 memory: 17087 grad_norm: 7.0539 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7494 loss: 0.7494 2022/08/05 10:05:02 - mmengine - INFO - Epoch(train) [212][1000/1879] lr: 1.0000e-04 eta: 10:02:51 time: 0.4322 data_time: 0.0178 memory: 17087 grad_norm: 7.1575 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8069 loss: 0.8069 2022/08/05 10:05:11 - mmengine - INFO - Epoch(train) [212][1020/1879] lr: 1.0000e-04 eta: 10:02:42 time: 0.4305 data_time: 0.0148 memory: 17087 grad_norm: 7.0446 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7865 loss: 0.7865 2022/08/05 10:05:20 - mmengine - INFO - Epoch(train) [212][1040/1879] lr: 1.0000e-04 eta: 10:02:33 time: 0.4512 data_time: 0.0180 memory: 17087 grad_norm: 6.7628 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8524 loss: 0.8524 2022/08/05 10:05:29 - mmengine - INFO - Epoch(train) [212][1060/1879] lr: 1.0000e-04 eta: 10:02:25 time: 0.4356 data_time: 0.0151 memory: 17087 grad_norm: 6.9874 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0027 loss: 1.0027 2022/08/05 10:05:38 - mmengine - INFO - Epoch(train) [212][1080/1879] lr: 1.0000e-04 eta: 10:02:16 time: 0.4422 data_time: 0.0203 memory: 17087 grad_norm: 6.8015 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.8251 loss: 0.8251 2022/08/05 10:05:46 - mmengine - INFO - Epoch(train) [212][1100/1879] lr: 1.0000e-04 eta: 10:02:08 time: 0.4290 data_time: 0.0146 memory: 17087 grad_norm: 7.2307 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7672 loss: 0.7672 2022/08/05 10:05:55 - mmengine - INFO - Epoch(train) [212][1120/1879] lr: 1.0000e-04 eta: 10:01:59 time: 0.4321 data_time: 0.0184 memory: 17087 grad_norm: 6.7603 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8580 loss: 0.8580 2022/08/05 10:06:03 - mmengine - INFO - Epoch(train) [212][1140/1879] lr: 1.0000e-04 eta: 10:01:50 time: 0.4325 data_time: 0.0156 memory: 17087 grad_norm: 6.7400 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7616 loss: 0.7616 2022/08/05 10:06:12 - mmengine - INFO - Epoch(train) [212][1160/1879] lr: 1.0000e-04 eta: 10:01:42 time: 0.4372 data_time: 0.0213 memory: 17087 grad_norm: 7.0748 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9161 loss: 0.9161 2022/08/05 10:06:21 - mmengine - INFO - Epoch(train) [212][1180/1879] lr: 1.0000e-04 eta: 10:01:33 time: 0.4433 data_time: 0.0162 memory: 17087 grad_norm: 7.1012 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8121 loss: 0.8121 2022/08/05 10:06:30 - mmengine - INFO - Epoch(train) [212][1200/1879] lr: 1.0000e-04 eta: 10:01:24 time: 0.4325 data_time: 0.0189 memory: 17087 grad_norm: 6.9628 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8228 loss: 0.8228 2022/08/05 10:06:39 - mmengine - INFO - Epoch(train) [212][1220/1879] lr: 1.0000e-04 eta: 10:01:16 time: 0.4378 data_time: 0.0155 memory: 17087 grad_norm: 7.0085 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9369 loss: 0.9369 2022/08/05 10:06:47 - mmengine - INFO - Epoch(train) [212][1240/1879] lr: 1.0000e-04 eta: 10:01:07 time: 0.4316 data_time: 0.0163 memory: 17087 grad_norm: 7.0201 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8239 loss: 0.8239 2022/08/05 10:06:56 - mmengine - INFO - Epoch(train) [212][1260/1879] lr: 1.0000e-04 eta: 10:00:58 time: 0.4306 data_time: 0.0132 memory: 17087 grad_norm: 6.8766 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6932 loss: 0.6932 2022/08/05 10:07:05 - mmengine - INFO - Epoch(train) [212][1280/1879] lr: 1.0000e-04 eta: 10:00:50 time: 0.4327 data_time: 0.0167 memory: 17087 grad_norm: 6.7919 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7762 loss: 0.7762 2022/08/05 10:07:13 - mmengine - INFO - Epoch(train) [212][1300/1879] lr: 1.0000e-04 eta: 10:00:41 time: 0.4340 data_time: 0.0184 memory: 17087 grad_norm: 6.8862 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9842 loss: 0.9842 2022/08/05 10:07:22 - mmengine - INFO - Epoch(train) [212][1320/1879] lr: 1.0000e-04 eta: 10:00:32 time: 0.4550 data_time: 0.0171 memory: 17087 grad_norm: 6.5040 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6241 loss: 0.6241 2022/08/05 10:07:31 - mmengine - INFO - Epoch(train) [212][1340/1879] lr: 1.0000e-04 eta: 10:00:24 time: 0.4304 data_time: 0.0137 memory: 17087 grad_norm: 6.8690 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7551 loss: 0.7551 2022/08/05 10:07:40 - mmengine - INFO - Epoch(train) [212][1360/1879] lr: 1.0000e-04 eta: 10:00:15 time: 0.4331 data_time: 0.0167 memory: 17087 grad_norm: 7.1757 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8492 loss: 0.8492 2022/08/05 10:07:48 - mmengine - INFO - Epoch(train) [212][1380/1879] lr: 1.0000e-04 eta: 10:00:06 time: 0.4319 data_time: 0.0158 memory: 17087 grad_norm: 6.9236 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8213 loss: 0.8213 2022/08/05 10:07:57 - mmengine - INFO - Epoch(train) [212][1400/1879] lr: 1.0000e-04 eta: 9:59:58 time: 0.4348 data_time: 0.0181 memory: 17087 grad_norm: 7.1839 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7786 loss: 0.7786 2022/08/05 10:08:06 - mmengine - INFO - Epoch(train) [212][1420/1879] lr: 1.0000e-04 eta: 9:59:49 time: 0.4275 data_time: 0.0143 memory: 17087 grad_norm: 6.9971 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8256 loss: 0.8256 2022/08/05 10:08:14 - mmengine - INFO - Epoch(train) [212][1440/1879] lr: 1.0000e-04 eta: 9:59:40 time: 0.4316 data_time: 0.0174 memory: 17087 grad_norm: 6.8587 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7069 loss: 0.7069 2022/08/05 10:08:23 - mmengine - INFO - Epoch(train) [212][1460/1879] lr: 1.0000e-04 eta: 9:59:32 time: 0.4455 data_time: 0.0154 memory: 17087 grad_norm: 7.1740 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8312 loss: 0.8312 2022/08/05 10:08:32 - mmengine - INFO - Epoch(train) [212][1480/1879] lr: 1.0000e-04 eta: 9:59:23 time: 0.4415 data_time: 0.0180 memory: 17087 grad_norm: 6.8459 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6882 loss: 0.6882 2022/08/05 10:08:41 - mmengine - INFO - Epoch(train) [212][1500/1879] lr: 1.0000e-04 eta: 9:59:15 time: 0.4296 data_time: 0.0142 memory: 17087 grad_norm: 7.0280 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8523 loss: 0.8523 2022/08/05 10:08:50 - mmengine - INFO - Epoch(train) [212][1520/1879] lr: 1.0000e-04 eta: 9:59:06 time: 0.4461 data_time: 0.0195 memory: 17087 grad_norm: 7.0803 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8217 loss: 0.8217 2022/08/05 10:08:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 10:08:58 - mmengine - INFO - Epoch(train) [212][1540/1879] lr: 1.0000e-04 eta: 9:58:57 time: 0.4283 data_time: 0.0144 memory: 17087 grad_norm: 7.2259 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9817 loss: 0.9817 2022/08/05 10:09:07 - mmengine - INFO - Epoch(train) [212][1560/1879] lr: 1.0000e-04 eta: 9:58:49 time: 0.4448 data_time: 0.0166 memory: 17087 grad_norm: 6.8065 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8647 loss: 0.8647 2022/08/05 10:09:16 - mmengine - INFO - Epoch(train) [212][1580/1879] lr: 1.0000e-04 eta: 9:58:40 time: 0.4290 data_time: 0.0147 memory: 17087 grad_norm: 6.8260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7928 loss: 0.7928 2022/08/05 10:09:24 - mmengine - INFO - Epoch(train) [212][1600/1879] lr: 1.0000e-04 eta: 9:58:31 time: 0.4302 data_time: 0.0152 memory: 17087 grad_norm: 7.1598 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7866 loss: 0.7866 2022/08/05 10:09:33 - mmengine - INFO - Epoch(train) [212][1620/1879] lr: 1.0000e-04 eta: 9:58:23 time: 0.4469 data_time: 0.0154 memory: 17087 grad_norm: 7.0488 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7880 loss: 0.7880 2022/08/05 10:09:42 - mmengine - INFO - Epoch(train) [212][1640/1879] lr: 1.0000e-04 eta: 9:58:14 time: 0.4325 data_time: 0.0163 memory: 17087 grad_norm: 7.0802 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8594 loss: 0.8594 2022/08/05 10:09:51 - mmengine - INFO - Epoch(train) [212][1660/1879] lr: 1.0000e-04 eta: 9:58:05 time: 0.4444 data_time: 0.0164 memory: 17087 grad_norm: 7.2559 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9150 loss: 0.9150 2022/08/05 10:10:00 - mmengine - INFO - Epoch(train) [212][1680/1879] lr: 1.0000e-04 eta: 9:57:57 time: 0.4309 data_time: 0.0162 memory: 17087 grad_norm: 6.9028 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9876 loss: 0.9876 2022/08/05 10:10:08 - mmengine - INFO - Epoch(train) [212][1700/1879] lr: 1.0000e-04 eta: 9:57:48 time: 0.4324 data_time: 0.0164 memory: 17087 grad_norm: 7.1945 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9422 loss: 0.9422 2022/08/05 10:10:17 - mmengine - INFO - Epoch(train) [212][1720/1879] lr: 1.0000e-04 eta: 9:57:39 time: 0.4392 data_time: 0.0173 memory: 17087 grad_norm: 6.8444 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8464 loss: 0.8464 2022/08/05 10:10:26 - mmengine - INFO - Epoch(train) [212][1740/1879] lr: 1.0000e-04 eta: 9:57:31 time: 0.4329 data_time: 0.0169 memory: 17087 grad_norm: 7.1882 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8298 loss: 0.8298 2022/08/05 10:10:35 - mmengine - INFO - Epoch(train) [212][1760/1879] lr: 1.0000e-04 eta: 9:57:22 time: 0.4463 data_time: 0.0178 memory: 17087 grad_norm: 7.1812 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8560 loss: 0.8560 2022/08/05 10:10:43 - mmengine - INFO - Epoch(train) [212][1780/1879] lr: 1.0000e-04 eta: 9:57:14 time: 0.4309 data_time: 0.0149 memory: 17087 grad_norm: 7.0177 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7093 loss: 0.7093 2022/08/05 10:10:52 - mmengine - INFO - Epoch(train) [212][1800/1879] lr: 1.0000e-04 eta: 9:57:05 time: 0.4318 data_time: 0.0174 memory: 17087 grad_norm: 7.0975 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1929 loss: 1.1929 2022/08/05 10:11:01 - mmengine - INFO - Epoch(train) [212][1820/1879] lr: 1.0000e-04 eta: 9:56:56 time: 0.4331 data_time: 0.0149 memory: 17087 grad_norm: 6.9215 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7247 loss: 0.7247 2022/08/05 10:11:10 - mmengine - INFO - Epoch(train) [212][1840/1879] lr: 1.0000e-04 eta: 9:56:48 time: 0.4559 data_time: 0.0164 memory: 17087 grad_norm: 6.8887 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7747 loss: 0.7747 2022/08/05 10:11:18 - mmengine - INFO - Epoch(train) [212][1860/1879] lr: 1.0000e-04 eta: 9:56:39 time: 0.4313 data_time: 0.0158 memory: 17087 grad_norm: 7.3208 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8661 loss: 0.8661 2022/08/05 10:11:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 10:11:26 - mmengine - INFO - Epoch(train) [212][1879/1879] lr: 1.0000e-04 eta: 9:56:39 time: 0.4117 data_time: 0.0149 memory: 17087 grad_norm: 7.0548 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.7227 loss: 0.7227 2022/08/05 10:11:26 - mmengine - INFO - Saving checkpoint at 212 epochs 2022/08/05 10:11:41 - mmengine - INFO - Epoch(train) [213][20/1879] lr: 1.0000e-04 eta: 9:56:21 time: 0.5310 data_time: 0.1154 memory: 17087 grad_norm: 7.1214 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8765 loss: 0.8765 2022/08/05 10:11:51 - mmengine - INFO - Epoch(train) [213][40/1879] lr: 1.0000e-04 eta: 9:56:12 time: 0.4677 data_time: 0.0170 memory: 17087 grad_norm: 7.0844 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7863 loss: 0.7863 2022/08/05 10:11:59 - mmengine - INFO - Epoch(train) [213][60/1879] lr: 1.0000e-04 eta: 9:56:04 time: 0.4310 data_time: 0.0152 memory: 17087 grad_norm: 6.9631 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7232 loss: 0.7232 2022/08/05 10:12:08 - mmengine - INFO - Epoch(train) [213][80/1879] lr: 1.0000e-04 eta: 9:55:55 time: 0.4334 data_time: 0.0165 memory: 17087 grad_norm: 7.2092 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7798 loss: 0.7798 2022/08/05 10:12:16 - mmengine - INFO - Epoch(train) [213][100/1879] lr: 1.0000e-04 eta: 9:55:46 time: 0.4319 data_time: 0.0171 memory: 17087 grad_norm: 7.0068 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9847 loss: 0.9847 2022/08/05 10:12:25 - mmengine - INFO - Epoch(train) [213][120/1879] lr: 1.0000e-04 eta: 9:55:38 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 6.9795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7377 loss: 0.7377 2022/08/05 10:12:34 - mmengine - INFO - Epoch(train) [213][140/1879] lr: 1.0000e-04 eta: 9:55:29 time: 0.4317 data_time: 0.0178 memory: 17087 grad_norm: 6.9117 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7417 loss: 0.7417 2022/08/05 10:12:43 - mmengine - INFO - Epoch(train) [213][160/1879] lr: 1.0000e-04 eta: 9:55:20 time: 0.4385 data_time: 0.0171 memory: 17087 grad_norm: 6.9547 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7907 loss: 0.7907 2022/08/05 10:12:51 - mmengine - INFO - Epoch(train) [213][180/1879] lr: 1.0000e-04 eta: 9:55:12 time: 0.4334 data_time: 0.0159 memory: 17087 grad_norm: 6.9848 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7067 loss: 0.7067 2022/08/05 10:13:00 - mmengine - INFO - Epoch(train) [213][200/1879] lr: 1.0000e-04 eta: 9:55:03 time: 0.4313 data_time: 0.0162 memory: 17087 grad_norm: 7.1916 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8047 loss: 0.8047 2022/08/05 10:13:09 - mmengine - INFO - Epoch(train) [213][220/1879] lr: 1.0000e-04 eta: 9:54:54 time: 0.4508 data_time: 0.0166 memory: 17087 grad_norm: 7.1562 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8150 loss: 0.8150 2022/08/05 10:13:18 - mmengine - INFO - Epoch(train) [213][240/1879] lr: 1.0000e-04 eta: 9:54:46 time: 0.4302 data_time: 0.0160 memory: 17087 grad_norm: 6.9268 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8872 loss: 0.8872 2022/08/05 10:13:26 - mmengine - INFO - Epoch(train) [213][260/1879] lr: 1.0000e-04 eta: 9:54:37 time: 0.4315 data_time: 0.0151 memory: 17087 grad_norm: 7.0283 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.7724 loss: 0.7724 2022/08/05 10:13:35 - mmengine - INFO - Epoch(train) [213][280/1879] lr: 1.0000e-04 eta: 9:54:29 time: 0.4484 data_time: 0.0160 memory: 17087 grad_norm: 7.0368 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6296 loss: 0.6296 2022/08/05 10:13:44 - mmengine - INFO - Epoch(train) [213][300/1879] lr: 1.0000e-04 eta: 9:54:20 time: 0.4296 data_time: 0.0153 memory: 17087 grad_norm: 7.0541 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7710 loss: 0.7710 2022/08/05 10:13:53 - mmengine - INFO - Epoch(train) [213][320/1879] lr: 1.0000e-04 eta: 9:54:11 time: 0.4523 data_time: 0.0179 memory: 17087 grad_norm: 6.9801 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7761 loss: 0.7761 2022/08/05 10:14:02 - mmengine - INFO - Epoch(train) [213][340/1879] lr: 1.0000e-04 eta: 9:54:03 time: 0.4292 data_time: 0.0153 memory: 17087 grad_norm: 7.2471 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7695 loss: 0.7695 2022/08/05 10:14:11 - mmengine - INFO - Epoch(train) [213][360/1879] lr: 1.0000e-04 eta: 9:53:54 time: 0.4581 data_time: 0.0179 memory: 17087 grad_norm: 7.3621 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8326 loss: 0.8326 2022/08/05 10:14:19 - mmengine - INFO - Epoch(train) [213][380/1879] lr: 1.0000e-04 eta: 9:53:45 time: 0.4309 data_time: 0.0152 memory: 17087 grad_norm: 7.1892 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7962 loss: 0.7962 2022/08/05 10:14:28 - mmengine - INFO - Epoch(train) [213][400/1879] lr: 1.0000e-04 eta: 9:53:37 time: 0.4325 data_time: 0.0171 memory: 17087 grad_norm: 7.2409 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8325 loss: 0.8325 2022/08/05 10:14:37 - mmengine - INFO - Epoch(train) [213][420/1879] lr: 1.0000e-04 eta: 9:53:28 time: 0.4309 data_time: 0.0154 memory: 17087 grad_norm: 6.9304 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6789 loss: 0.6789 2022/08/05 10:14:45 - mmengine - INFO - Epoch(train) [213][440/1879] lr: 1.0000e-04 eta: 9:53:19 time: 0.4315 data_time: 0.0204 memory: 17087 grad_norm: 7.0411 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8989 loss: 0.8989 2022/08/05 10:14:54 - mmengine - INFO - Epoch(train) [213][460/1879] lr: 1.0000e-04 eta: 9:53:11 time: 0.4547 data_time: 0.0164 memory: 17087 grad_norm: 7.0515 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8174 loss: 0.8174 2022/08/05 10:15:03 - mmengine - INFO - Epoch(train) [213][480/1879] lr: 1.0000e-04 eta: 9:53:02 time: 0.4357 data_time: 0.0192 memory: 17087 grad_norm: 6.8432 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7694 loss: 0.7694 2022/08/05 10:15:12 - mmengine - INFO - Epoch(train) [213][500/1879] lr: 1.0000e-04 eta: 9:52:54 time: 0.4543 data_time: 0.0174 memory: 17087 grad_norm: 6.9790 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8368 loss: 0.8368 2022/08/05 10:15:21 - mmengine - INFO - Epoch(train) [213][520/1879] lr: 1.0000e-04 eta: 9:52:45 time: 0.4317 data_time: 0.0164 memory: 17087 grad_norm: 7.0833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6565 loss: 0.6565 2022/08/05 10:15:30 - mmengine - INFO - Epoch(train) [213][540/1879] lr: 1.0000e-04 eta: 9:52:36 time: 0.4356 data_time: 0.0165 memory: 17087 grad_norm: 7.0594 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6182 loss: 0.6182 2022/08/05 10:15:38 - mmengine - INFO - Epoch(train) [213][560/1879] lr: 1.0000e-04 eta: 9:52:28 time: 0.4306 data_time: 0.0155 memory: 17087 grad_norm: 7.1519 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8089 loss: 0.8089 2022/08/05 10:15:47 - mmengine - INFO - Epoch(train) [213][580/1879] lr: 1.0000e-04 eta: 9:52:19 time: 0.4373 data_time: 0.0154 memory: 17087 grad_norm: 7.1078 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8382 loss: 0.8382 2022/08/05 10:15:56 - mmengine - INFO - Epoch(train) [213][600/1879] lr: 1.0000e-04 eta: 9:52:10 time: 0.4318 data_time: 0.0164 memory: 17087 grad_norm: 7.1367 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7782 loss: 0.7782 2022/08/05 10:16:04 - mmengine - INFO - Epoch(train) [213][620/1879] lr: 1.0000e-04 eta: 9:52:02 time: 0.4298 data_time: 0.0141 memory: 17087 grad_norm: 7.0868 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7576 loss: 0.7576 2022/08/05 10:16:13 - mmengine - INFO - Epoch(train) [213][640/1879] lr: 1.0000e-04 eta: 9:51:53 time: 0.4332 data_time: 0.0167 memory: 17087 grad_norm: 7.0869 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9550 loss: 0.9550 2022/08/05 10:16:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 10:16:22 - mmengine - INFO - Epoch(train) [213][660/1879] lr: 1.0000e-04 eta: 9:51:44 time: 0.4312 data_time: 0.0162 memory: 17087 grad_norm: 7.2693 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8122 loss: 0.8122 2022/08/05 10:16:30 - mmengine - INFO - Epoch(train) [213][680/1879] lr: 1.0000e-04 eta: 9:51:36 time: 0.4334 data_time: 0.0168 memory: 17087 grad_norm: 6.9175 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8100 loss: 0.8100 2022/08/05 10:16:39 - mmengine - INFO - Epoch(train) [213][700/1879] lr: 1.0000e-04 eta: 9:51:27 time: 0.4299 data_time: 0.0150 memory: 17087 grad_norm: 6.8244 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9437 loss: 0.9437 2022/08/05 10:16:48 - mmengine - INFO - Epoch(train) [213][720/1879] lr: 1.0000e-04 eta: 9:51:19 time: 0.4700 data_time: 0.0183 memory: 17087 grad_norm: 6.8829 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8268 loss: 0.8268 2022/08/05 10:16:57 - mmengine - INFO - Epoch(train) [213][740/1879] lr: 1.0000e-04 eta: 9:51:10 time: 0.4300 data_time: 0.0159 memory: 17087 grad_norm: 7.0058 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7828 loss: 0.7828 2022/08/05 10:17:06 - mmengine - INFO - Epoch(train) [213][760/1879] lr: 1.0000e-04 eta: 9:51:01 time: 0.4327 data_time: 0.0173 memory: 17087 grad_norm: 7.0385 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8220 loss: 0.8220 2022/08/05 10:17:15 - mmengine - INFO - Epoch(train) [213][780/1879] lr: 1.0000e-04 eta: 9:50:53 time: 0.4405 data_time: 0.0167 memory: 17087 grad_norm: 6.9468 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7733 loss: 0.7733 2022/08/05 10:17:23 - mmengine - INFO - Epoch(train) [213][800/1879] lr: 1.0000e-04 eta: 9:50:44 time: 0.4339 data_time: 0.0169 memory: 17087 grad_norm: 7.2907 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7942 loss: 0.7942 2022/08/05 10:17:32 - mmengine - INFO - Epoch(train) [213][820/1879] lr: 1.0000e-04 eta: 9:50:35 time: 0.4335 data_time: 0.0163 memory: 17087 grad_norm: 6.8767 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9638 loss: 0.9638 2022/08/05 10:17:41 - mmengine - INFO - Epoch(train) [213][840/1879] lr: 1.0000e-04 eta: 9:50:27 time: 0.4322 data_time: 0.0162 memory: 17087 grad_norm: 6.9684 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8719 loss: 0.8719 2022/08/05 10:17:49 - mmengine - INFO - Epoch(train) [213][860/1879] lr: 1.0000e-04 eta: 9:50:18 time: 0.4384 data_time: 0.0158 memory: 17087 grad_norm: 6.8444 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7354 loss: 0.7354 2022/08/05 10:17:59 - mmengine - INFO - Epoch(train) [213][880/1879] lr: 1.0000e-04 eta: 9:50:09 time: 0.4562 data_time: 0.0194 memory: 17087 grad_norm: 6.8777 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7386 loss: 0.7386 2022/08/05 10:18:07 - mmengine - INFO - Epoch(train) [213][900/1879] lr: 1.0000e-04 eta: 9:50:01 time: 0.4299 data_time: 0.0149 memory: 17087 grad_norm: 6.9160 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8094 loss: 0.8094 2022/08/05 10:18:16 - mmengine - INFO - Epoch(train) [213][920/1879] lr: 1.0000e-04 eta: 9:49:52 time: 0.4318 data_time: 0.0165 memory: 17087 grad_norm: 7.2125 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8529 loss: 0.8529 2022/08/05 10:18:25 - mmengine - INFO - Epoch(train) [213][940/1879] lr: 1.0000e-04 eta: 9:49:44 time: 0.4604 data_time: 0.0173 memory: 17087 grad_norm: 6.8480 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8674 loss: 0.8674 2022/08/05 10:18:34 - mmengine - INFO - Epoch(train) [213][960/1879] lr: 1.0000e-04 eta: 9:49:35 time: 0.4324 data_time: 0.0170 memory: 17087 grad_norm: 6.8745 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7933 loss: 0.7933 2022/08/05 10:18:42 - mmengine - INFO - Epoch(train) [213][980/1879] lr: 1.0000e-04 eta: 9:49:26 time: 0.4359 data_time: 0.0162 memory: 17087 grad_norm: 7.1820 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8577 loss: 0.8577 2022/08/05 10:18:51 - mmengine - INFO - Epoch(train) [213][1000/1879] lr: 1.0000e-04 eta: 9:49:18 time: 0.4498 data_time: 0.0172 memory: 17087 grad_norm: 7.1251 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9874 loss: 0.9874 2022/08/05 10:19:00 - mmengine - INFO - Epoch(train) [213][1020/1879] lr: 1.0000e-04 eta: 9:49:09 time: 0.4364 data_time: 0.0211 memory: 17087 grad_norm: 6.9334 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.0140 loss: 1.0140 2022/08/05 10:19:09 - mmengine - INFO - Epoch(train) [213][1040/1879] lr: 1.0000e-04 eta: 9:49:00 time: 0.4328 data_time: 0.0167 memory: 17087 grad_norm: 7.0341 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8529 loss: 0.8529 2022/08/05 10:19:18 - mmengine - INFO - Epoch(train) [213][1060/1879] lr: 1.0000e-04 eta: 9:48:52 time: 0.4350 data_time: 0.0161 memory: 17087 grad_norm: 7.2892 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9500 loss: 0.9500 2022/08/05 10:19:26 - mmengine - INFO - Epoch(train) [213][1080/1879] lr: 1.0000e-04 eta: 9:48:43 time: 0.4316 data_time: 0.0170 memory: 17087 grad_norm: 6.8376 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9885 loss: 0.9885 2022/08/05 10:19:35 - mmengine - INFO - Epoch(train) [213][1100/1879] lr: 1.0000e-04 eta: 9:48:34 time: 0.4321 data_time: 0.0141 memory: 17087 grad_norm: 6.9643 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6304 loss: 0.6304 2022/08/05 10:19:44 - mmengine - INFO - Epoch(train) [213][1120/1879] lr: 1.0000e-04 eta: 9:48:26 time: 0.4309 data_time: 0.0161 memory: 17087 grad_norm: 6.8689 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8956 loss: 0.8956 2022/08/05 10:19:53 - mmengine - INFO - Epoch(train) [213][1140/1879] lr: 1.0000e-04 eta: 9:48:17 time: 0.4625 data_time: 0.0167 memory: 17087 grad_norm: 6.8320 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7139 loss: 0.7139 2022/08/05 10:20:02 - mmengine - INFO - Epoch(train) [213][1160/1879] lr: 1.0000e-04 eta: 9:48:08 time: 0.4321 data_time: 0.0161 memory: 17087 grad_norm: 6.9727 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7863 loss: 0.7863 2022/08/05 10:20:11 - mmengine - INFO - Epoch(train) [213][1180/1879] lr: 1.0000e-04 eta: 9:48:00 time: 0.4558 data_time: 0.0146 memory: 17087 grad_norm: 7.1505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7978 loss: 0.7978 2022/08/05 10:20:19 - mmengine - INFO - Epoch(train) [213][1200/1879] lr: 1.0000e-04 eta: 9:47:51 time: 0.4357 data_time: 0.0164 memory: 17087 grad_norm: 7.0043 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7396 loss: 0.7396 2022/08/05 10:20:28 - mmengine - INFO - Epoch(train) [213][1220/1879] lr: 1.0000e-04 eta: 9:47:43 time: 0.4340 data_time: 0.0185 memory: 17087 grad_norm: 7.1831 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8654 loss: 0.8654 2022/08/05 10:20:37 - mmengine - INFO - Epoch(train) [213][1240/1879] lr: 1.0000e-04 eta: 9:47:34 time: 0.4320 data_time: 0.0169 memory: 17087 grad_norm: 7.0041 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7735 loss: 0.7735 2022/08/05 10:20:45 - mmengine - INFO - Epoch(train) [213][1260/1879] lr: 1.0000e-04 eta: 9:47:25 time: 0.4341 data_time: 0.0138 memory: 17087 grad_norm: 7.0026 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8254 loss: 0.8254 2022/08/05 10:20:54 - mmengine - INFO - Epoch(train) [213][1280/1879] lr: 1.0000e-04 eta: 9:47:17 time: 0.4393 data_time: 0.0163 memory: 17087 grad_norm: 7.0043 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.7658 loss: 0.7658 2022/08/05 10:21:03 - mmengine - INFO - Epoch(train) [213][1300/1879] lr: 1.0000e-04 eta: 9:47:08 time: 0.4306 data_time: 0.0144 memory: 17087 grad_norm: 7.0065 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9334 loss: 0.9334 2022/08/05 10:21:12 - mmengine - INFO - Epoch(train) [213][1320/1879] lr: 1.0000e-04 eta: 9:46:59 time: 0.4331 data_time: 0.0173 memory: 17087 grad_norm: 7.0120 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8258 loss: 0.8258 2022/08/05 10:21:20 - mmengine - INFO - Epoch(train) [213][1340/1879] lr: 1.0000e-04 eta: 9:46:51 time: 0.4327 data_time: 0.0131 memory: 17087 grad_norm: 7.0759 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8828 loss: 0.8828 2022/08/05 10:21:30 - mmengine - INFO - Epoch(train) [213][1360/1879] lr: 1.0000e-04 eta: 9:46:42 time: 0.4636 data_time: 0.0181 memory: 17087 grad_norm: 7.1604 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9898 loss: 0.9898 2022/08/05 10:21:38 - mmengine - INFO - Epoch(train) [213][1380/1879] lr: 1.0000e-04 eta: 9:46:33 time: 0.4364 data_time: 0.0188 memory: 17087 grad_norm: 7.2173 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9002 loss: 0.9002 2022/08/05 10:21:47 - mmengine - INFO - Epoch(train) [213][1400/1879] lr: 1.0000e-04 eta: 9:46:25 time: 0.4299 data_time: 0.0166 memory: 17087 grad_norm: 7.0709 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9591 loss: 0.9591 2022/08/05 10:21:56 - mmengine - INFO - Epoch(train) [213][1420/1879] lr: 1.0000e-04 eta: 9:46:16 time: 0.4319 data_time: 0.0153 memory: 17087 grad_norm: 7.0410 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9204 loss: 0.9204 2022/08/05 10:22:04 - mmengine - INFO - Epoch(train) [213][1440/1879] lr: 1.0000e-04 eta: 9:46:08 time: 0.4329 data_time: 0.0172 memory: 17087 grad_norm: 7.0222 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8150 loss: 0.8150 2022/08/05 10:22:13 - mmengine - INFO - Epoch(train) [213][1460/1879] lr: 1.0000e-04 eta: 9:45:59 time: 0.4456 data_time: 0.0155 memory: 17087 grad_norm: 6.8890 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8657 loss: 0.8657 2022/08/05 10:22:22 - mmengine - INFO - Epoch(train) [213][1480/1879] lr: 1.0000e-04 eta: 9:45:50 time: 0.4385 data_time: 0.0169 memory: 17087 grad_norm: 7.0939 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9531 loss: 0.9531 2022/08/05 10:22:31 - mmengine - INFO - Epoch(train) [213][1500/1879] lr: 1.0000e-04 eta: 9:45:42 time: 0.4369 data_time: 0.0158 memory: 17087 grad_norm: 6.8427 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8193 loss: 0.8193 2022/08/05 10:22:39 - mmengine - INFO - Epoch(train) [213][1520/1879] lr: 1.0000e-04 eta: 9:45:33 time: 0.4340 data_time: 0.0178 memory: 17087 grad_norm: 6.8624 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8207 loss: 0.8207 2022/08/05 10:22:48 - mmengine - INFO - Epoch(train) [213][1540/1879] lr: 1.0000e-04 eta: 9:45:24 time: 0.4362 data_time: 0.0132 memory: 17087 grad_norm: 7.0808 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8918 loss: 0.8918 2022/08/05 10:22:57 - mmengine - INFO - Epoch(train) [213][1560/1879] lr: 1.0000e-04 eta: 9:45:16 time: 0.4322 data_time: 0.0165 memory: 17087 grad_norm: 6.9343 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8147 loss: 0.8147 2022/08/05 10:23:06 - mmengine - INFO - Epoch(train) [213][1580/1879] lr: 1.0000e-04 eta: 9:45:07 time: 0.4314 data_time: 0.0145 memory: 17087 grad_norm: 6.9798 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8936 loss: 0.8936 2022/08/05 10:23:14 - mmengine - INFO - Epoch(train) [213][1600/1879] lr: 1.0000e-04 eta: 9:44:58 time: 0.4359 data_time: 0.0168 memory: 17087 grad_norm: 7.0660 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8761 loss: 0.8761 2022/08/05 10:23:23 - mmengine - INFO - Epoch(train) [213][1620/1879] lr: 1.0000e-04 eta: 9:44:50 time: 0.4300 data_time: 0.0150 memory: 17087 grad_norm: 7.2743 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8048 loss: 0.8048 2022/08/05 10:23:32 - mmengine - INFO - Epoch(train) [213][1640/1879] lr: 1.0000e-04 eta: 9:44:41 time: 0.4566 data_time: 0.0171 memory: 17087 grad_norm: 7.3963 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.6783 loss: 0.6783 2022/08/05 10:23:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 10:23:41 - mmengine - INFO - Epoch(train) [213][1660/1879] lr: 1.0000e-04 eta: 9:44:32 time: 0.4324 data_time: 0.0153 memory: 17087 grad_norm: 7.2258 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9446 loss: 0.9446 2022/08/05 10:23:50 - mmengine - INFO - Epoch(train) [213][1680/1879] lr: 1.0000e-04 eta: 9:44:24 time: 0.4539 data_time: 0.0166 memory: 17087 grad_norm: 7.0303 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8948 loss: 0.8948 2022/08/05 10:23:58 - mmengine - INFO - Epoch(train) [213][1700/1879] lr: 1.0000e-04 eta: 9:44:15 time: 0.4308 data_time: 0.0154 memory: 17087 grad_norm: 6.9938 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9528 loss: 0.9528 2022/08/05 10:24:07 - mmengine - INFO - Epoch(train) [213][1720/1879] lr: 1.0000e-04 eta: 9:44:07 time: 0.4318 data_time: 0.0167 memory: 17087 grad_norm: 6.9924 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7944 loss: 0.7944 2022/08/05 10:24:16 - mmengine - INFO - Epoch(train) [213][1740/1879] lr: 1.0000e-04 eta: 9:43:58 time: 0.4329 data_time: 0.0162 memory: 17087 grad_norm: 7.0635 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7702 loss: 0.7702 2022/08/05 10:24:24 - mmengine - INFO - Epoch(train) [213][1760/1879] lr: 1.0000e-04 eta: 9:43:49 time: 0.4322 data_time: 0.0160 memory: 17087 grad_norm: 6.6900 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7314 loss: 0.7314 2022/08/05 10:24:33 - mmengine - INFO - Epoch(train) [213][1780/1879] lr: 1.0000e-04 eta: 9:43:41 time: 0.4402 data_time: 0.0169 memory: 17087 grad_norm: 7.0730 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7717 loss: 0.7717 2022/08/05 10:24:42 - mmengine - INFO - Epoch(train) [213][1800/1879] lr: 1.0000e-04 eta: 9:43:32 time: 0.4314 data_time: 0.0163 memory: 17087 grad_norm: 6.9433 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9100 loss: 0.9100 2022/08/05 10:24:51 - mmengine - INFO - Epoch(train) [213][1820/1879] lr: 1.0000e-04 eta: 9:43:23 time: 0.4401 data_time: 0.0160 memory: 17087 grad_norm: 7.1005 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9373 loss: 0.9373 2022/08/05 10:24:59 - mmengine - INFO - Epoch(train) [213][1840/1879] lr: 1.0000e-04 eta: 9:43:15 time: 0.4312 data_time: 0.0171 memory: 17087 grad_norm: 6.8844 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5909 loss: 0.5909 2022/08/05 10:25:09 - mmengine - INFO - Epoch(train) [213][1860/1879] lr: 1.0000e-04 eta: 9:43:06 time: 0.4809 data_time: 0.0162 memory: 17087 grad_norm: 7.0844 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8538 loss: 0.8538 2022/08/05 10:25:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 10:25:17 - mmengine - INFO - Epoch(train) [213][1879/1879] lr: 1.0000e-04 eta: 9:43:06 time: 0.4545 data_time: 0.0161 memory: 17087 grad_norm: 7.1466 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.8074 loss: 0.8074 2022/08/05 10:25:28 - mmengine - INFO - Epoch(train) [214][20/1879] lr: 1.0000e-04 eta: 9:42:48 time: 0.5617 data_time: 0.1090 memory: 17087 grad_norm: 7.2003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8914 loss: 0.8914 2022/08/05 10:25:37 - mmengine - INFO - Epoch(train) [214][40/1879] lr: 1.0000e-04 eta: 9:42:39 time: 0.4325 data_time: 0.0167 memory: 17087 grad_norm: 6.9520 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8304 loss: 0.8304 2022/08/05 10:25:46 - mmengine - INFO - Epoch(train) [214][60/1879] lr: 1.0000e-04 eta: 9:42:31 time: 0.4347 data_time: 0.0141 memory: 17087 grad_norm: 6.8968 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7523 loss: 0.7523 2022/08/05 10:25:54 - mmengine - INFO - Epoch(train) [214][80/1879] lr: 1.0000e-04 eta: 9:42:22 time: 0.4335 data_time: 0.0174 memory: 17087 grad_norm: 7.1458 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6836 loss: 0.6836 2022/08/05 10:26:03 - mmengine - INFO - Epoch(train) [214][100/1879] lr: 1.0000e-04 eta: 9:42:14 time: 0.4374 data_time: 0.0147 memory: 17087 grad_norm: 6.9842 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9159 loss: 0.9159 2022/08/05 10:26:12 - mmengine - INFO - Epoch(train) [214][120/1879] lr: 1.0000e-04 eta: 9:42:05 time: 0.4369 data_time: 0.0198 memory: 17087 grad_norm: 7.2572 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7643 loss: 0.7643 2022/08/05 10:26:20 - mmengine - INFO - Epoch(train) [214][140/1879] lr: 1.0000e-04 eta: 9:41:56 time: 0.4301 data_time: 0.0162 memory: 17087 grad_norm: 6.8762 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7250 loss: 0.7250 2022/08/05 10:26:30 - mmengine - INFO - Epoch(train) [214][160/1879] lr: 1.0000e-04 eta: 9:41:48 time: 0.4637 data_time: 0.0176 memory: 17087 grad_norm: 7.0718 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9355 loss: 0.9355 2022/08/05 10:26:38 - mmengine - INFO - Epoch(train) [214][180/1879] lr: 1.0000e-04 eta: 9:41:39 time: 0.4314 data_time: 0.0157 memory: 17087 grad_norm: 6.9162 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9489 loss: 0.9489 2022/08/05 10:26:47 - mmengine - INFO - Epoch(train) [214][200/1879] lr: 1.0000e-04 eta: 9:41:30 time: 0.4283 data_time: 0.0168 memory: 17087 grad_norm: 6.9959 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6708 loss: 0.6708 2022/08/05 10:26:56 - mmengine - INFO - Epoch(train) [214][220/1879] lr: 1.0000e-04 eta: 9:41:22 time: 0.4385 data_time: 0.0161 memory: 17087 grad_norm: 7.0047 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7802 loss: 0.7802 2022/08/05 10:27:04 - mmengine - INFO - Epoch(train) [214][240/1879] lr: 1.0000e-04 eta: 9:41:13 time: 0.4321 data_time: 0.0160 memory: 17087 grad_norm: 7.2408 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8985 loss: 0.8985 2022/08/05 10:27:13 - mmengine - INFO - Epoch(train) [214][260/1879] lr: 1.0000e-04 eta: 9:41:04 time: 0.4324 data_time: 0.0156 memory: 17087 grad_norm: 6.9158 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9084 loss: 0.9084 2022/08/05 10:27:22 - mmengine - INFO - Epoch(train) [214][280/1879] lr: 1.0000e-04 eta: 9:40:56 time: 0.4326 data_time: 0.0171 memory: 17087 grad_norm: 6.9353 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8393 loss: 0.8393 2022/08/05 10:27:31 - mmengine - INFO - Epoch(train) [214][300/1879] lr: 1.0000e-04 eta: 9:40:47 time: 0.4529 data_time: 0.0165 memory: 17087 grad_norm: 7.0185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9549 loss: 0.9549 2022/08/05 10:27:39 - mmengine - INFO - Epoch(train) [214][320/1879] lr: 1.0000e-04 eta: 9:40:39 time: 0.4319 data_time: 0.0163 memory: 17087 grad_norm: 6.8023 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8040 loss: 0.8040 2022/08/05 10:27:49 - mmengine - INFO - Epoch(train) [214][340/1879] lr: 1.0000e-04 eta: 9:40:30 time: 0.4555 data_time: 0.0158 memory: 17087 grad_norm: 6.9786 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8555 loss: 0.8555 2022/08/05 10:27:57 - mmengine - INFO - Epoch(train) [214][360/1879] lr: 1.0000e-04 eta: 9:40:21 time: 0.4313 data_time: 0.0164 memory: 17087 grad_norm: 7.0857 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8219 loss: 0.8219 2022/08/05 10:28:06 - mmengine - INFO - Epoch(train) [214][380/1879] lr: 1.0000e-04 eta: 9:40:13 time: 0.4307 data_time: 0.0156 memory: 17087 grad_norm: 6.9198 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6641 loss: 0.6641 2022/08/05 10:28:15 - mmengine - INFO - Epoch(train) [214][400/1879] lr: 1.0000e-04 eta: 9:40:04 time: 0.4509 data_time: 0.0147 memory: 17087 grad_norm: 6.9201 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6642 loss: 0.6642 2022/08/05 10:28:24 - mmengine - INFO - Epoch(train) [214][420/1879] lr: 1.0000e-04 eta: 9:39:55 time: 0.4303 data_time: 0.0138 memory: 17087 grad_norm: 7.0916 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9924 loss: 0.9924 2022/08/05 10:28:32 - mmengine - INFO - Epoch(train) [214][440/1879] lr: 1.0000e-04 eta: 9:39:47 time: 0.4371 data_time: 0.0169 memory: 17087 grad_norm: 7.0701 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8136 loss: 0.8136 2022/08/05 10:28:41 - mmengine - INFO - Epoch(train) [214][460/1879] lr: 1.0000e-04 eta: 9:39:38 time: 0.4558 data_time: 0.0166 memory: 17087 grad_norm: 6.9946 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7215 loss: 0.7215 2022/08/05 10:28:50 - mmengine - INFO - Epoch(train) [214][480/1879] lr: 1.0000e-04 eta: 9:39:29 time: 0.4318 data_time: 0.0166 memory: 17087 grad_norm: 7.4878 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9096 loss: 0.9096 2022/08/05 10:28:59 - mmengine - INFO - Epoch(train) [214][500/1879] lr: 1.0000e-04 eta: 9:39:21 time: 0.4642 data_time: 0.0200 memory: 17087 grad_norm: 6.9614 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7025 loss: 0.7025 2022/08/05 10:29:08 - mmengine - INFO - Epoch(train) [214][520/1879] lr: 1.0000e-04 eta: 9:39:12 time: 0.4336 data_time: 0.0169 memory: 17087 grad_norm: 6.9151 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8818 loss: 0.8818 2022/08/05 10:29:17 - mmengine - INFO - Epoch(train) [214][540/1879] lr: 1.0000e-04 eta: 9:39:04 time: 0.4348 data_time: 0.0190 memory: 17087 grad_norm: 7.0816 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9525 loss: 0.9525 2022/08/05 10:29:26 - mmengine - INFO - Epoch(train) [214][560/1879] lr: 1.0000e-04 eta: 9:38:55 time: 0.4581 data_time: 0.0171 memory: 17087 grad_norm: 6.9416 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6608 loss: 0.6608 2022/08/05 10:29:35 - mmengine - INFO - Epoch(train) [214][580/1879] lr: 1.0000e-04 eta: 9:38:46 time: 0.4304 data_time: 0.0137 memory: 17087 grad_norm: 7.1084 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7899 loss: 0.7899 2022/08/05 10:29:43 - mmengine - INFO - Epoch(train) [214][600/1879] lr: 1.0000e-04 eta: 9:38:38 time: 0.4346 data_time: 0.0169 memory: 17087 grad_norm: 7.0326 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7357 loss: 0.7357 2022/08/05 10:29:52 - mmengine - INFO - Epoch(train) [214][620/1879] lr: 1.0000e-04 eta: 9:38:29 time: 0.4308 data_time: 0.0150 memory: 17087 grad_norm: 6.6312 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7308 loss: 0.7308 2022/08/05 10:30:01 - mmengine - INFO - Epoch(train) [214][640/1879] lr: 1.0000e-04 eta: 9:38:21 time: 0.4535 data_time: 0.0178 memory: 17087 grad_norm: 6.7100 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8404 loss: 0.8404 2022/08/05 10:30:10 - mmengine - INFO - Epoch(train) [214][660/1879] lr: 1.0000e-04 eta: 9:38:12 time: 0.4290 data_time: 0.0150 memory: 17087 grad_norm: 6.9417 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7814 loss: 0.7814 2022/08/05 10:30:18 - mmengine - INFO - Epoch(train) [214][680/1879] lr: 1.0000e-04 eta: 9:38:03 time: 0.4321 data_time: 0.0161 memory: 17087 grad_norm: 6.8094 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8035 loss: 0.8035 2022/08/05 10:30:27 - mmengine - INFO - Epoch(train) [214][700/1879] lr: 1.0000e-04 eta: 9:37:55 time: 0.4292 data_time: 0.0140 memory: 17087 grad_norm: 6.5798 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8244 loss: 0.8244 2022/08/05 10:30:36 - mmengine - INFO - Epoch(train) [214][720/1879] lr: 1.0000e-04 eta: 9:37:46 time: 0.4305 data_time: 0.0178 memory: 17087 grad_norm: 7.0580 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8733 loss: 0.8733 2022/08/05 10:30:45 - mmengine - INFO - Epoch(train) [214][740/1879] lr: 1.0000e-04 eta: 9:37:37 time: 0.4454 data_time: 0.0166 memory: 17087 grad_norm: 7.0202 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8288 loss: 0.8288 2022/08/05 10:30:53 - mmengine - INFO - Epoch(train) [214][760/1879] lr: 1.0000e-04 eta: 9:37:29 time: 0.4305 data_time: 0.0162 memory: 17087 grad_norm: 7.0835 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8616 loss: 0.8616 2022/08/05 10:30:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 10:31:02 - mmengine - INFO - Epoch(train) [214][780/1879] lr: 1.0000e-04 eta: 9:37:20 time: 0.4312 data_time: 0.0138 memory: 17087 grad_norm: 6.7795 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7797 loss: 0.7797 2022/08/05 10:31:10 - mmengine - INFO - Epoch(train) [214][800/1879] lr: 1.0000e-04 eta: 9:37:11 time: 0.4323 data_time: 0.0165 memory: 17087 grad_norm: 6.9131 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6928 loss: 0.6928 2022/08/05 10:31:20 - mmengine - INFO - Epoch(train) [214][820/1879] lr: 1.0000e-04 eta: 9:37:03 time: 0.4663 data_time: 0.0163 memory: 17087 grad_norm: 7.0929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8294 loss: 0.8294 2022/08/05 10:31:29 - mmengine - INFO - Epoch(train) [214][840/1879] lr: 1.0000e-04 eta: 9:36:54 time: 0.4322 data_time: 0.0165 memory: 17087 grad_norm: 6.7732 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6585 loss: 0.6585 2022/08/05 10:31:37 - mmengine - INFO - Epoch(train) [214][860/1879] lr: 1.0000e-04 eta: 9:36:45 time: 0.4297 data_time: 0.0154 memory: 17087 grad_norm: 7.1259 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8644 loss: 0.8644 2022/08/05 10:31:46 - mmengine - INFO - Epoch(train) [214][880/1879] lr: 1.0000e-04 eta: 9:36:37 time: 0.4413 data_time: 0.0170 memory: 17087 grad_norm: 7.0366 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6702 loss: 0.6702 2022/08/05 10:31:55 - mmengine - INFO - Epoch(train) [214][900/1879] lr: 1.0000e-04 eta: 9:36:28 time: 0.4294 data_time: 0.0143 memory: 17087 grad_norm: 6.9583 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8327 loss: 0.8327 2022/08/05 10:32:04 - mmengine - INFO - Epoch(train) [214][920/1879] lr: 1.0000e-04 eta: 9:36:20 time: 0.4595 data_time: 0.0198 memory: 17087 grad_norm: 7.3179 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8906 loss: 0.8906 2022/08/05 10:32:12 - mmengine - INFO - Epoch(train) [214][940/1879] lr: 1.0000e-04 eta: 9:36:11 time: 0.4331 data_time: 0.0141 memory: 17087 grad_norm: 7.3587 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9432 loss: 0.9432 2022/08/05 10:32:21 - mmengine - INFO - Epoch(train) [214][960/1879] lr: 1.0000e-04 eta: 9:36:02 time: 0.4445 data_time: 0.0179 memory: 17087 grad_norm: 7.2228 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8311 loss: 0.8311 2022/08/05 10:32:30 - mmengine - INFO - Epoch(train) [214][980/1879] lr: 1.0000e-04 eta: 9:35:54 time: 0.4311 data_time: 0.0160 memory: 17087 grad_norm: 6.8987 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8210 loss: 0.8210 2022/08/05 10:32:39 - mmengine - INFO - Epoch(train) [214][1000/1879] lr: 1.0000e-04 eta: 9:35:45 time: 0.4457 data_time: 0.0171 memory: 17087 grad_norm: 6.9550 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6907 loss: 0.6907 2022/08/05 10:32:48 - mmengine - INFO - Epoch(train) [214][1020/1879] lr: 1.0000e-04 eta: 9:35:36 time: 0.4291 data_time: 0.0159 memory: 17087 grad_norm: 6.9322 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8895 loss: 0.8895 2022/08/05 10:32:56 - mmengine - INFO - Epoch(train) [214][1040/1879] lr: 1.0000e-04 eta: 9:35:28 time: 0.4327 data_time: 0.0177 memory: 17087 grad_norm: 7.0394 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7648 loss: 0.7648 2022/08/05 10:33:05 - mmengine - INFO - Epoch(train) [214][1060/1879] lr: 1.0000e-04 eta: 9:35:19 time: 0.4370 data_time: 0.0156 memory: 17087 grad_norm: 6.7169 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7461 loss: 0.7461 2022/08/05 10:33:14 - mmengine - INFO - Epoch(train) [214][1080/1879] lr: 1.0000e-04 eta: 9:35:10 time: 0.4324 data_time: 0.0166 memory: 17087 grad_norm: 7.0981 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7867 loss: 0.7867 2022/08/05 10:33:22 - mmengine - INFO - Epoch(train) [214][1100/1879] lr: 1.0000e-04 eta: 9:35:02 time: 0.4344 data_time: 0.0144 memory: 17087 grad_norm: 7.1240 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7818 loss: 0.7818 2022/08/05 10:33:31 - mmengine - INFO - Epoch(train) [214][1120/1879] lr: 1.0000e-04 eta: 9:34:53 time: 0.4350 data_time: 0.0166 memory: 17087 grad_norm: 6.9330 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8434 loss: 0.8434 2022/08/05 10:33:40 - mmengine - INFO - Epoch(train) [214][1140/1879] lr: 1.0000e-04 eta: 9:34:44 time: 0.4385 data_time: 0.0161 memory: 17087 grad_norm: 7.0288 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9356 loss: 0.9356 2022/08/05 10:33:49 - mmengine - INFO - Epoch(train) [214][1160/1879] lr: 1.0000e-04 eta: 9:34:36 time: 0.4339 data_time: 0.0172 memory: 17087 grad_norm: 7.1040 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6576 loss: 0.6576 2022/08/05 10:33:57 - mmengine - INFO - Epoch(train) [214][1180/1879] lr: 1.0000e-04 eta: 9:34:27 time: 0.4313 data_time: 0.0143 memory: 17087 grad_norm: 7.1787 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8481 loss: 0.8481 2022/08/05 10:34:06 - mmengine - INFO - Epoch(train) [214][1200/1879] lr: 1.0000e-04 eta: 9:34:18 time: 0.4328 data_time: 0.0163 memory: 17087 grad_norm: 7.1075 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9191 loss: 0.9191 2022/08/05 10:34:15 - mmengine - INFO - Epoch(train) [214][1220/1879] lr: 1.0000e-04 eta: 9:34:10 time: 0.4365 data_time: 0.0180 memory: 17087 grad_norm: 7.2849 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8361 loss: 0.8361 2022/08/05 10:34:23 - mmengine - INFO - Epoch(train) [214][1240/1879] lr: 1.0000e-04 eta: 9:34:01 time: 0.4315 data_time: 0.0158 memory: 17087 grad_norm: 7.0308 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8130 loss: 0.8130 2022/08/05 10:34:32 - mmengine - INFO - Epoch(train) [214][1260/1879] lr: 1.0000e-04 eta: 9:33:53 time: 0.4547 data_time: 0.0151 memory: 17087 grad_norm: 7.1588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8292 loss: 0.8292 2022/08/05 10:34:41 - mmengine - INFO - Epoch(train) [214][1280/1879] lr: 1.0000e-04 eta: 9:33:44 time: 0.4406 data_time: 0.0195 memory: 17087 grad_norm: 7.2628 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8734 loss: 0.8734 2022/08/05 10:34:50 - mmengine - INFO - Epoch(train) [214][1300/1879] lr: 1.0000e-04 eta: 9:33:35 time: 0.4371 data_time: 0.0162 memory: 17087 grad_norm: 7.0258 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8278 loss: 0.8278 2022/08/05 10:34:59 - mmengine - INFO - Epoch(train) [214][1320/1879] lr: 1.0000e-04 eta: 9:33:27 time: 0.4369 data_time: 0.0167 memory: 17087 grad_norm: 7.0922 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8188 loss: 0.8188 2022/08/05 10:35:08 - mmengine - INFO - Epoch(train) [214][1340/1879] lr: 1.0000e-04 eta: 9:33:18 time: 0.4333 data_time: 0.0140 memory: 17087 grad_norm: 6.8246 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7913 loss: 0.7913 2022/08/05 10:35:16 - mmengine - INFO - Epoch(train) [214][1360/1879] lr: 1.0000e-04 eta: 9:33:09 time: 0.4304 data_time: 0.0158 memory: 17087 grad_norm: 6.8149 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6110 loss: 0.6110 2022/08/05 10:35:25 - mmengine - INFO - Epoch(train) [214][1380/1879] lr: 1.0000e-04 eta: 9:33:01 time: 0.4366 data_time: 0.0140 memory: 17087 grad_norm: 6.8072 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6320 loss: 0.6320 2022/08/05 10:35:34 - mmengine - INFO - Epoch(train) [214][1400/1879] lr: 1.0000e-04 eta: 9:32:52 time: 0.4325 data_time: 0.0162 memory: 17087 grad_norm: 7.3045 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9327 loss: 0.9327 2022/08/05 10:35:42 - mmengine - INFO - Epoch(train) [214][1420/1879] lr: 1.0000e-04 eta: 9:32:43 time: 0.4328 data_time: 0.0153 memory: 17087 grad_norm: 7.1795 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7664 loss: 0.7664 2022/08/05 10:35:51 - mmengine - INFO - Epoch(train) [214][1440/1879] lr: 1.0000e-04 eta: 9:32:35 time: 0.4316 data_time: 0.0159 memory: 17087 grad_norm: 7.0969 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8114 loss: 0.8114 2022/08/05 10:36:00 - mmengine - INFO - Epoch(train) [214][1460/1879] lr: 1.0000e-04 eta: 9:32:26 time: 0.4521 data_time: 0.0159 memory: 17087 grad_norm: 6.8118 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8644 loss: 0.8644 2022/08/05 10:36:09 - mmengine - INFO - Epoch(train) [214][1480/1879] lr: 1.0000e-04 eta: 9:32:17 time: 0.4324 data_time: 0.0172 memory: 17087 grad_norm: 7.0230 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7148 loss: 0.7148 2022/08/05 10:36:17 - mmengine - INFO - Epoch(train) [214][1500/1879] lr: 1.0000e-04 eta: 9:32:09 time: 0.4297 data_time: 0.0148 memory: 17087 grad_norm: 7.2803 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9489 loss: 0.9489 2022/08/05 10:36:26 - mmengine - INFO - Epoch(train) [214][1520/1879] lr: 1.0000e-04 eta: 9:32:00 time: 0.4402 data_time: 0.0178 memory: 17087 grad_norm: 7.1504 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9573 loss: 0.9573 2022/08/05 10:36:35 - mmengine - INFO - Epoch(train) [214][1540/1879] lr: 1.0000e-04 eta: 9:31:52 time: 0.4342 data_time: 0.0132 memory: 17087 grad_norm: 7.0769 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8116 loss: 0.8116 2022/08/05 10:36:44 - mmengine - INFO - Epoch(train) [214][1560/1879] lr: 1.0000e-04 eta: 9:31:43 time: 0.4562 data_time: 0.0170 memory: 17087 grad_norm: 6.7341 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8814 loss: 0.8814 2022/08/05 10:36:53 - mmengine - INFO - Epoch(train) [214][1580/1879] lr: 1.0000e-04 eta: 9:31:34 time: 0.4336 data_time: 0.0171 memory: 17087 grad_norm: 6.9859 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7953 loss: 0.7953 2022/08/05 10:37:02 - mmengine - INFO - Epoch(train) [214][1600/1879] lr: 1.0000e-04 eta: 9:31:26 time: 0.4546 data_time: 0.0183 memory: 17087 grad_norm: 7.1040 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8060 loss: 0.8060 2022/08/05 10:37:11 - mmengine - INFO - Epoch(train) [214][1620/1879] lr: 1.0000e-04 eta: 9:31:17 time: 0.4385 data_time: 0.0133 memory: 17087 grad_norm: 7.2187 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8400 loss: 0.8400 2022/08/05 10:37:20 - mmengine - INFO - Epoch(train) [214][1640/1879] lr: 1.0000e-04 eta: 9:31:09 time: 0.4552 data_time: 0.0174 memory: 17087 grad_norm: 7.1754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8275 loss: 0.8275 2022/08/05 10:37:28 - mmengine - INFO - Epoch(train) [214][1660/1879] lr: 1.0000e-04 eta: 9:31:00 time: 0.4293 data_time: 0.0135 memory: 17087 grad_norm: 6.8756 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9589 loss: 0.9589 2022/08/05 10:37:37 - mmengine - INFO - Epoch(train) [214][1680/1879] lr: 1.0000e-04 eta: 9:30:51 time: 0.4359 data_time: 0.0159 memory: 17087 grad_norm: 7.1767 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8493 loss: 0.8493 2022/08/05 10:37:46 - mmengine - INFO - Epoch(train) [214][1700/1879] lr: 1.0000e-04 eta: 9:30:43 time: 0.4427 data_time: 0.0162 memory: 17087 grad_norm: 7.1710 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7995 loss: 0.7995 2022/08/05 10:37:55 - mmengine - INFO - Epoch(train) [214][1720/1879] lr: 1.0000e-04 eta: 9:30:34 time: 0.4314 data_time: 0.0162 memory: 17087 grad_norm: 7.3987 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7931 loss: 0.7931 2022/08/05 10:38:04 - mmengine - INFO - Epoch(train) [214][1740/1879] lr: 1.0000e-04 eta: 9:30:25 time: 0.4503 data_time: 0.0144 memory: 17087 grad_norm: 7.1369 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7966 loss: 0.7966 2022/08/05 10:38:12 - mmengine - INFO - Epoch(train) [214][1760/1879] lr: 1.0000e-04 eta: 9:30:17 time: 0.4314 data_time: 0.0166 memory: 17087 grad_norm: 6.9405 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7885 loss: 0.7885 2022/08/05 10:38:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 10:38:21 - mmengine - INFO - Epoch(train) [214][1780/1879] lr: 1.0000e-04 eta: 9:30:08 time: 0.4489 data_time: 0.0159 memory: 17087 grad_norm: 6.7313 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6300 loss: 0.6300 2022/08/05 10:38:30 - mmengine - INFO - Epoch(train) [214][1800/1879] lr: 1.0000e-04 eta: 9:29:59 time: 0.4350 data_time: 0.0193 memory: 17087 grad_norm: 7.0395 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9719 loss: 0.9719 2022/08/05 10:38:39 - mmengine - INFO - Epoch(train) [214][1820/1879] lr: 1.0000e-04 eta: 9:29:51 time: 0.4330 data_time: 0.0174 memory: 17087 grad_norm: 7.1449 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7289 loss: 0.7289 2022/08/05 10:38:47 - mmengine - INFO - Epoch(train) [214][1840/1879] lr: 1.0000e-04 eta: 9:29:42 time: 0.4309 data_time: 0.0156 memory: 17087 grad_norm: 7.0696 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8137 loss: 0.8137 2022/08/05 10:38:56 - mmengine - INFO - Epoch(train) [214][1860/1879] lr: 1.0000e-04 eta: 9:29:33 time: 0.4348 data_time: 0.0163 memory: 17087 grad_norm: 6.7929 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8562 loss: 0.8562 2022/08/05 10:39:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 10:39:04 - mmengine - INFO - Epoch(train) [214][1879/1879] lr: 1.0000e-04 eta: 9:29:33 time: 0.4106 data_time: 0.0152 memory: 17087 grad_norm: 7.2265 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.8701 loss: 0.8701 2022/08/05 10:39:15 - mmengine - INFO - Epoch(train) [215][20/1879] lr: 1.0000e-04 eta: 9:29:15 time: 0.5441 data_time: 0.1017 memory: 17087 grad_norm: 7.1049 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8587 loss: 0.8587 2022/08/05 10:39:24 - mmengine - INFO - Epoch(train) [215][40/1879] lr: 1.0000e-04 eta: 9:29:07 time: 0.4492 data_time: 0.0181 memory: 17087 grad_norm: 6.8342 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7896 loss: 0.7896 2022/08/05 10:39:33 - mmengine - INFO - Epoch(train) [215][60/1879] lr: 1.0000e-04 eta: 9:28:58 time: 0.4457 data_time: 0.0178 memory: 17087 grad_norm: 7.1920 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8486 loss: 0.8486 2022/08/05 10:39:41 - mmengine - INFO - Epoch(train) [215][80/1879] lr: 1.0000e-04 eta: 9:28:49 time: 0.4306 data_time: 0.0163 memory: 17087 grad_norm: 7.0966 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9047 loss: 0.9047 2022/08/05 10:39:50 - mmengine - INFO - Epoch(train) [215][100/1879] lr: 1.0000e-04 eta: 9:28:41 time: 0.4321 data_time: 0.0161 memory: 17087 grad_norm: 6.8396 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9793 loss: 0.9793 2022/08/05 10:39:59 - mmengine - INFO - Epoch(train) [215][120/1879] lr: 1.0000e-04 eta: 9:28:32 time: 0.4306 data_time: 0.0166 memory: 17087 grad_norm: 7.0931 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7989 loss: 0.7989 2022/08/05 10:40:07 - mmengine - INFO - Epoch(train) [215][140/1879] lr: 1.0000e-04 eta: 9:28:23 time: 0.4309 data_time: 0.0144 memory: 17087 grad_norm: 7.0375 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0025 loss: 1.0025 2022/08/05 10:40:17 - mmengine - INFO - Epoch(train) [215][160/1879] lr: 1.0000e-04 eta: 9:28:15 time: 0.4644 data_time: 0.0191 memory: 17087 grad_norm: 6.9268 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8755 loss: 0.8755 2022/08/05 10:40:25 - mmengine - INFO - Epoch(train) [215][180/1879] lr: 1.0000e-04 eta: 9:28:06 time: 0.4324 data_time: 0.0154 memory: 17087 grad_norm: 7.0273 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8429 loss: 0.8429 2022/08/05 10:40:34 - mmengine - INFO - Epoch(train) [215][200/1879] lr: 1.0000e-04 eta: 9:27:58 time: 0.4328 data_time: 0.0169 memory: 17087 grad_norm: 6.9958 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8626 loss: 0.8626 2022/08/05 10:40:43 - mmengine - INFO - Epoch(train) [215][220/1879] lr: 1.0000e-04 eta: 9:27:49 time: 0.4299 data_time: 0.0146 memory: 17087 grad_norm: 6.9584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7742 loss: 0.7742 2022/08/05 10:40:52 - mmengine - INFO - Epoch(train) [215][240/1879] lr: 1.0000e-04 eta: 9:27:40 time: 0.4621 data_time: 0.0162 memory: 17087 grad_norm: 7.0861 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8109 loss: 0.8109 2022/08/05 10:41:01 - mmengine - INFO - Epoch(train) [215][260/1879] lr: 1.0000e-04 eta: 9:27:32 time: 0.4314 data_time: 0.0155 memory: 17087 grad_norm: 7.1916 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6466 loss: 0.6466 2022/08/05 10:41:09 - mmengine - INFO - Epoch(train) [215][280/1879] lr: 1.0000e-04 eta: 9:27:23 time: 0.4348 data_time: 0.0168 memory: 17087 grad_norm: 6.8338 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9914 loss: 0.9914 2022/08/05 10:41:18 - mmengine - INFO - Epoch(train) [215][300/1879] lr: 1.0000e-04 eta: 9:27:14 time: 0.4356 data_time: 0.0142 memory: 17087 grad_norm: 7.3078 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9117 loss: 0.9117 2022/08/05 10:41:27 - mmengine - INFO - Epoch(train) [215][320/1879] lr: 1.0000e-04 eta: 9:27:06 time: 0.4316 data_time: 0.0162 memory: 17087 grad_norm: 6.9268 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6771 loss: 0.6771 2022/08/05 10:41:35 - mmengine - INFO - Epoch(train) [215][340/1879] lr: 1.0000e-04 eta: 9:26:57 time: 0.4332 data_time: 0.0165 memory: 17087 grad_norm: 7.0757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8660 loss: 0.8660 2022/08/05 10:41:44 - mmengine - INFO - Epoch(train) [215][360/1879] lr: 1.0000e-04 eta: 9:26:49 time: 0.4524 data_time: 0.0190 memory: 17087 grad_norm: 7.0536 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8906 loss: 0.8906 2022/08/05 10:41:53 - mmengine - INFO - Epoch(train) [215][380/1879] lr: 1.0000e-04 eta: 9:26:40 time: 0.4374 data_time: 0.0156 memory: 17087 grad_norm: 7.0239 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8313 loss: 0.8313 2022/08/05 10:42:02 - mmengine - INFO - Epoch(train) [215][400/1879] lr: 1.0000e-04 eta: 9:26:31 time: 0.4373 data_time: 0.0214 memory: 17087 grad_norm: 6.9167 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8455 loss: 0.8455 2022/08/05 10:42:11 - mmengine - INFO - Epoch(train) [215][420/1879] lr: 1.0000e-04 eta: 9:26:23 time: 0.4352 data_time: 0.0148 memory: 17087 grad_norm: 6.7383 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8522 loss: 0.8522 2022/08/05 10:42:19 - mmengine - INFO - Epoch(train) [215][440/1879] lr: 1.0000e-04 eta: 9:26:14 time: 0.4339 data_time: 0.0166 memory: 17087 grad_norm: 7.0324 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8465 loss: 0.8465 2022/08/05 10:42:28 - mmengine - INFO - Epoch(train) [215][460/1879] lr: 1.0000e-04 eta: 9:26:05 time: 0.4476 data_time: 0.0150 memory: 17087 grad_norm: 7.0363 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9135 loss: 0.9135 2022/08/05 10:42:37 - mmengine - INFO - Epoch(train) [215][480/1879] lr: 1.0000e-04 eta: 9:25:57 time: 0.4357 data_time: 0.0181 memory: 17087 grad_norm: 6.8703 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8478 loss: 0.8478 2022/08/05 10:42:46 - mmengine - INFO - Epoch(train) [215][500/1879] lr: 1.0000e-04 eta: 9:25:48 time: 0.4608 data_time: 0.0205 memory: 17087 grad_norm: 6.8948 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8271 loss: 0.8271 2022/08/05 10:42:55 - mmengine - INFO - Epoch(train) [215][520/1879] lr: 1.0000e-04 eta: 9:25:40 time: 0.4326 data_time: 0.0163 memory: 17087 grad_norm: 6.8899 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9526 loss: 0.9526 2022/08/05 10:43:04 - mmengine - INFO - Epoch(train) [215][540/1879] lr: 1.0000e-04 eta: 9:25:31 time: 0.4544 data_time: 0.0154 memory: 17087 grad_norm: 7.0144 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8995 loss: 0.8995 2022/08/05 10:43:13 - mmengine - INFO - Epoch(train) [215][560/1879] lr: 1.0000e-04 eta: 9:25:22 time: 0.4317 data_time: 0.0164 memory: 17087 grad_norm: 6.9624 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8136 loss: 0.8136 2022/08/05 10:43:22 - mmengine - INFO - Epoch(train) [215][580/1879] lr: 1.0000e-04 eta: 9:25:14 time: 0.4378 data_time: 0.0207 memory: 17087 grad_norm: 7.1104 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8476 loss: 0.8476 2022/08/05 10:43:30 - mmengine - INFO - Epoch(train) [215][600/1879] lr: 1.0000e-04 eta: 9:25:05 time: 0.4315 data_time: 0.0161 memory: 17087 grad_norm: 6.8247 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7521 loss: 0.7521 2022/08/05 10:43:39 - mmengine - INFO - Epoch(train) [215][620/1879] lr: 1.0000e-04 eta: 9:24:56 time: 0.4316 data_time: 0.0165 memory: 17087 grad_norm: 7.0129 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6967 loss: 0.6967 2022/08/05 10:43:47 - mmengine - INFO - Epoch(train) [215][640/1879] lr: 1.0000e-04 eta: 9:24:48 time: 0.4328 data_time: 0.0152 memory: 17087 grad_norm: 6.7419 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7741 loss: 0.7741 2022/08/05 10:43:56 - mmengine - INFO - Epoch(train) [215][660/1879] lr: 1.0000e-04 eta: 9:24:39 time: 0.4300 data_time: 0.0148 memory: 17087 grad_norm: 6.9990 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7282 loss: 0.7282 2022/08/05 10:44:05 - mmengine - INFO - Epoch(train) [215][680/1879] lr: 1.0000e-04 eta: 9:24:30 time: 0.4585 data_time: 0.0200 memory: 17087 grad_norm: 6.5465 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7037 loss: 0.7037 2022/08/05 10:44:14 - mmengine - INFO - Epoch(train) [215][700/1879] lr: 1.0000e-04 eta: 9:24:22 time: 0.4302 data_time: 0.0163 memory: 17087 grad_norm: 7.1855 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9018 loss: 0.9018 2022/08/05 10:44:23 - mmengine - INFO - Epoch(train) [215][720/1879] lr: 1.0000e-04 eta: 9:24:13 time: 0.4594 data_time: 0.0205 memory: 17087 grad_norm: 6.7295 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7116 loss: 0.7116 2022/08/05 10:44:32 - mmengine - INFO - Epoch(train) [215][740/1879] lr: 1.0000e-04 eta: 9:24:05 time: 0.4296 data_time: 0.0149 memory: 17087 grad_norm: 6.8148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8266 loss: 0.8266 2022/08/05 10:44:41 - mmengine - INFO - Epoch(train) [215][760/1879] lr: 1.0000e-04 eta: 9:23:56 time: 0.4560 data_time: 0.0226 memory: 17087 grad_norm: 7.3371 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0848 loss: 1.0848 2022/08/05 10:44:50 - mmengine - INFO - Epoch(train) [215][780/1879] lr: 1.0000e-04 eta: 9:23:47 time: 0.4300 data_time: 0.0150 memory: 17087 grad_norm: 7.1226 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8853 loss: 0.8853 2022/08/05 10:44:58 - mmengine - INFO - Epoch(train) [215][800/1879] lr: 1.0000e-04 eta: 9:23:39 time: 0.4363 data_time: 0.0200 memory: 17087 grad_norm: 6.8458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8964 loss: 0.8964 2022/08/05 10:45:07 - mmengine - INFO - Epoch(train) [215][820/1879] lr: 1.0000e-04 eta: 9:23:30 time: 0.4395 data_time: 0.0171 memory: 17087 grad_norm: 6.8519 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8048 loss: 0.8048 2022/08/05 10:45:16 - mmengine - INFO - Epoch(train) [215][840/1879] lr: 1.0000e-04 eta: 9:23:21 time: 0.4332 data_time: 0.0167 memory: 17087 grad_norm: 6.8868 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8593 loss: 0.8593 2022/08/05 10:45:25 - mmengine - INFO - Epoch(train) [215][860/1879] lr: 1.0000e-04 eta: 9:23:13 time: 0.4372 data_time: 0.0174 memory: 17087 grad_norm: 6.9168 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7932 loss: 0.7932 2022/08/05 10:45:33 - mmengine - INFO - Epoch(train) [215][880/1879] lr: 1.0000e-04 eta: 9:23:04 time: 0.4326 data_time: 0.0202 memory: 17087 grad_norm: 6.8651 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8574 loss: 0.8574 2022/08/05 10:45:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 10:45:42 - mmengine - INFO - Epoch(train) [215][900/1879] lr: 1.0000e-04 eta: 9:22:55 time: 0.4311 data_time: 0.0140 memory: 17087 grad_norm: 6.9851 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7693 loss: 0.7693 2022/08/05 10:45:51 - mmengine - INFO - Epoch(train) [215][920/1879] lr: 1.0000e-04 eta: 9:22:47 time: 0.4321 data_time: 0.0173 memory: 17087 grad_norm: 7.1076 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8023 loss: 0.8023 2022/08/05 10:45:59 - mmengine - INFO - Epoch(train) [215][940/1879] lr: 1.0000e-04 eta: 9:22:38 time: 0.4289 data_time: 0.0147 memory: 17087 grad_norm: 7.3125 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8320 loss: 0.8320 2022/08/05 10:46:08 - mmengine - INFO - Epoch(train) [215][960/1879] lr: 1.0000e-04 eta: 9:22:29 time: 0.4526 data_time: 0.0168 memory: 17087 grad_norm: 6.7608 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7854 loss: 0.7854 2022/08/05 10:46:17 - mmengine - INFO - Epoch(train) [215][980/1879] lr: 1.0000e-04 eta: 9:22:21 time: 0.4303 data_time: 0.0153 memory: 17087 grad_norm: 6.9420 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9181 loss: 0.9181 2022/08/05 10:46:26 - mmengine - INFO - Epoch(train) [215][1000/1879] lr: 1.0000e-04 eta: 9:22:12 time: 0.4415 data_time: 0.0182 memory: 17087 grad_norm: 7.0565 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8194 loss: 0.8194 2022/08/05 10:46:34 - mmengine - INFO - Epoch(train) [215][1020/1879] lr: 1.0000e-04 eta: 9:22:04 time: 0.4303 data_time: 0.0156 memory: 17087 grad_norm: 6.9434 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8213 loss: 0.8213 2022/08/05 10:46:43 - mmengine - INFO - Epoch(train) [215][1040/1879] lr: 1.0000e-04 eta: 9:21:55 time: 0.4325 data_time: 0.0181 memory: 17087 grad_norm: 7.1151 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9338 loss: 0.9338 2022/08/05 10:46:52 - mmengine - INFO - Epoch(train) [215][1060/1879] lr: 1.0000e-04 eta: 9:21:46 time: 0.4329 data_time: 0.0155 memory: 17087 grad_norm: 6.9379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9150 loss: 0.9150 2022/08/05 10:47:00 - mmengine - INFO - Epoch(train) [215][1080/1879] lr: 1.0000e-04 eta: 9:21:38 time: 0.4308 data_time: 0.0173 memory: 17087 grad_norm: 7.0387 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8120 loss: 0.8120 2022/08/05 10:47:09 - mmengine - INFO - Epoch(train) [215][1100/1879] lr: 1.0000e-04 eta: 9:21:29 time: 0.4303 data_time: 0.0152 memory: 17087 grad_norm: 7.0191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7468 loss: 0.7468 2022/08/05 10:47:18 - mmengine - INFO - Epoch(train) [215][1120/1879] lr: 1.0000e-04 eta: 9:21:20 time: 0.4318 data_time: 0.0159 memory: 17087 grad_norm: 7.1120 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6576 loss: 0.6576 2022/08/05 10:47:26 - mmengine - INFO - Epoch(train) [215][1140/1879] lr: 1.0000e-04 eta: 9:21:12 time: 0.4361 data_time: 0.0186 memory: 17087 grad_norm: 6.8978 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9429 loss: 0.9429 2022/08/05 10:47:35 - mmengine - INFO - Epoch(train) [215][1160/1879] lr: 1.0000e-04 eta: 9:21:03 time: 0.4322 data_time: 0.0167 memory: 17087 grad_norm: 7.2193 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7947 loss: 0.7947 2022/08/05 10:47:44 - mmengine - INFO - Epoch(train) [215][1180/1879] lr: 1.0000e-04 eta: 9:20:54 time: 0.4565 data_time: 0.0181 memory: 17087 grad_norm: 6.7621 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8503 loss: 0.8503 2022/08/05 10:47:53 - mmengine - INFO - Epoch(train) [215][1200/1879] lr: 1.0000e-04 eta: 9:20:46 time: 0.4379 data_time: 0.0164 memory: 17087 grad_norm: 6.8951 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9244 loss: 0.9244 2022/08/05 10:48:02 - mmengine - INFO - Epoch(train) [215][1220/1879] lr: 1.0000e-04 eta: 9:20:37 time: 0.4571 data_time: 0.0160 memory: 17087 grad_norm: 7.0595 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7179 loss: 0.7179 2022/08/05 10:48:11 - mmengine - INFO - Epoch(train) [215][1240/1879] lr: 1.0000e-04 eta: 9:20:28 time: 0.4310 data_time: 0.0166 memory: 17087 grad_norm: 7.0812 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8502 loss: 0.8502 2022/08/05 10:48:19 - mmengine - INFO - Epoch(train) [215][1260/1879] lr: 1.0000e-04 eta: 9:20:20 time: 0.4341 data_time: 0.0201 memory: 17087 grad_norm: 7.0185 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7969 loss: 0.7969 2022/08/05 10:48:28 - mmengine - INFO - Epoch(train) [215][1280/1879] lr: 1.0000e-04 eta: 9:20:11 time: 0.4340 data_time: 0.0186 memory: 17087 grad_norm: 6.9072 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8219 loss: 0.8219 2022/08/05 10:48:37 - mmengine - INFO - Epoch(train) [215][1300/1879] lr: 1.0000e-04 eta: 9:20:02 time: 0.4320 data_time: 0.0154 memory: 17087 grad_norm: 6.8917 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9257 loss: 0.9257 2022/08/05 10:48:46 - mmengine - INFO - Epoch(train) [215][1320/1879] lr: 1.0000e-04 eta: 9:19:54 time: 0.4624 data_time: 0.0164 memory: 17087 grad_norm: 6.8396 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8258 loss: 0.8258 2022/08/05 10:48:55 - mmengine - INFO - Epoch(train) [215][1340/1879] lr: 1.0000e-04 eta: 9:19:45 time: 0.4301 data_time: 0.0167 memory: 17087 grad_norm: 7.0397 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7415 loss: 0.7415 2022/08/05 10:49:03 - mmengine - INFO - Epoch(train) [215][1360/1879] lr: 1.0000e-04 eta: 9:19:37 time: 0.4330 data_time: 0.0175 memory: 17087 grad_norm: 7.1505 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7013 loss: 0.7013 2022/08/05 10:49:12 - mmengine - INFO - Epoch(train) [215][1380/1879] lr: 1.0000e-04 eta: 9:19:28 time: 0.4339 data_time: 0.0156 memory: 17087 grad_norm: 7.0518 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7930 loss: 0.7930 2022/08/05 10:49:21 - mmengine - INFO - Epoch(train) [215][1400/1879] lr: 1.0000e-04 eta: 9:19:19 time: 0.4366 data_time: 0.0160 memory: 17087 grad_norm: 7.2957 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8172 loss: 0.8172 2022/08/05 10:49:29 - mmengine - INFO - Epoch(train) [215][1420/1879] lr: 1.0000e-04 eta: 9:19:11 time: 0.4290 data_time: 0.0155 memory: 17087 grad_norm: 6.7651 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7034 loss: 0.7034 2022/08/05 10:49:39 - mmengine - INFO - Epoch(train) [215][1440/1879] lr: 1.0000e-04 eta: 9:19:02 time: 0.4615 data_time: 0.0171 memory: 17087 grad_norm: 7.2579 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7511 loss: 0.7511 2022/08/05 10:49:47 - mmengine - INFO - Epoch(train) [215][1460/1879] lr: 1.0000e-04 eta: 9:18:53 time: 0.4318 data_time: 0.0170 memory: 17087 grad_norm: 6.8955 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7280 loss: 0.7280 2022/08/05 10:49:56 - mmengine - INFO - Epoch(train) [215][1480/1879] lr: 1.0000e-04 eta: 9:18:45 time: 0.4543 data_time: 0.0234 memory: 17087 grad_norm: 7.0736 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9413 loss: 0.9413 2022/08/05 10:50:06 - mmengine - INFO - Epoch(train) [215][1500/1879] lr: 1.0000e-04 eta: 9:18:36 time: 0.4516 data_time: 0.0199 memory: 17087 grad_norm: 7.0158 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7838 loss: 0.7838 2022/08/05 10:50:15 - mmengine - INFO - Epoch(train) [215][1520/1879] lr: 1.0000e-04 eta: 9:18:28 time: 0.4608 data_time: 0.0154 memory: 17087 grad_norm: 7.0577 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9093 loss: 0.9093 2022/08/05 10:50:24 - mmengine - INFO - Epoch(train) [215][1540/1879] lr: 1.0000e-04 eta: 9:18:19 time: 0.4309 data_time: 0.0160 memory: 17087 grad_norm: 7.1742 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8830 loss: 0.8830 2022/08/05 10:50:33 - mmengine - INFO - Epoch(train) [215][1560/1879] lr: 1.0000e-04 eta: 9:18:10 time: 0.4635 data_time: 0.0240 memory: 17087 grad_norm: 6.9170 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8461 loss: 0.8461 2022/08/05 10:50:41 - mmengine - INFO - Epoch(train) [215][1580/1879] lr: 1.0000e-04 eta: 9:18:02 time: 0.4323 data_time: 0.0144 memory: 17087 grad_norm: 6.8963 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9237 loss: 0.9237 2022/08/05 10:50:50 - mmengine - INFO - Epoch(train) [215][1600/1879] lr: 1.0000e-04 eta: 9:17:53 time: 0.4367 data_time: 0.0209 memory: 17087 grad_norm: 7.2058 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7445 loss: 0.7445 2022/08/05 10:50:59 - mmengine - INFO - Epoch(train) [215][1620/1879] lr: 1.0000e-04 eta: 9:17:45 time: 0.4314 data_time: 0.0165 memory: 17087 grad_norm: 6.9251 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8493 loss: 0.8493 2022/08/05 10:51:07 - mmengine - INFO - Epoch(train) [215][1640/1879] lr: 1.0000e-04 eta: 9:17:36 time: 0.4326 data_time: 0.0159 memory: 17087 grad_norm: 7.0016 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6844 loss: 0.6844 2022/08/05 10:51:17 - mmengine - INFO - Epoch(train) [215][1660/1879] lr: 1.0000e-04 eta: 9:17:27 time: 0.4583 data_time: 0.0171 memory: 17087 grad_norm: 7.1356 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7868 loss: 0.7868 2022/08/05 10:51:25 - mmengine - INFO - Epoch(train) [215][1680/1879] lr: 1.0000e-04 eta: 9:17:19 time: 0.4336 data_time: 0.0194 memory: 17087 grad_norm: 6.7061 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7571 loss: 0.7571 2022/08/05 10:51:34 - mmengine - INFO - Epoch(train) [215][1700/1879] lr: 1.0000e-04 eta: 9:17:10 time: 0.4553 data_time: 0.0167 memory: 17087 grad_norm: 7.0376 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8441 loss: 0.8441 2022/08/05 10:51:43 - mmengine - INFO - Epoch(train) [215][1720/1879] lr: 1.0000e-04 eta: 9:17:01 time: 0.4337 data_time: 0.0191 memory: 17087 grad_norm: 7.1078 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9500 loss: 0.9500 2022/08/05 10:51:52 - mmengine - INFO - Epoch(train) [215][1740/1879] lr: 1.0000e-04 eta: 9:16:53 time: 0.4294 data_time: 0.0157 memory: 17087 grad_norm: 6.7754 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7518 loss: 0.7518 2022/08/05 10:52:01 - mmengine - INFO - Epoch(train) [215][1760/1879] lr: 1.0000e-04 eta: 9:16:44 time: 0.4556 data_time: 0.0157 memory: 17087 grad_norm: 6.7445 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7990 loss: 0.7990 2022/08/05 10:52:10 - mmengine - INFO - Epoch(train) [215][1780/1879] lr: 1.0000e-04 eta: 9:16:36 time: 0.4320 data_time: 0.0140 memory: 17087 grad_norm: 7.0246 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7259 loss: 0.7259 2022/08/05 10:52:18 - mmengine - INFO - Epoch(train) [215][1800/1879] lr: 1.0000e-04 eta: 9:16:27 time: 0.4293 data_time: 0.0156 memory: 17087 grad_norm: 6.9206 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7381 loss: 0.7381 2022/08/05 10:52:27 - mmengine - INFO - Epoch(train) [215][1820/1879] lr: 1.0000e-04 eta: 9:16:18 time: 0.4332 data_time: 0.0155 memory: 17087 grad_norm: 7.2050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7807 loss: 0.7807 2022/08/05 10:52:36 - mmengine - INFO - Epoch(train) [215][1840/1879] lr: 1.0000e-04 eta: 9:16:10 time: 0.4327 data_time: 0.0162 memory: 17087 grad_norm: 7.0839 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8632 loss: 0.8632 2022/08/05 10:52:45 - mmengine - INFO - Epoch(train) [215][1860/1879] lr: 1.0000e-04 eta: 9:16:01 time: 0.4593 data_time: 0.0159 memory: 17087 grad_norm: 7.2452 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8616 loss: 0.8616 2022/08/05 10:52:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 10:52:53 - mmengine - INFO - Epoch(train) [215][1879/1879] lr: 1.0000e-04 eta: 9:16:01 time: 0.4146 data_time: 0.0161 memory: 17087 grad_norm: 7.0623 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8606 loss: 0.8606 2022/08/05 10:53:00 - mmengine - INFO - Epoch(val) [215][20/155] eta: 0:00:49 time: 0.3633 data_time: 0.1916 memory: 2821 2022/08/05 10:53:05 - mmengine - INFO - Epoch(val) [215][40/155] eta: 0:00:29 time: 0.2579 data_time: 0.0852 memory: 2821 2022/08/05 10:53:11 - mmengine - INFO - Epoch(val) [215][60/155] eta: 0:00:29 time: 0.3125 data_time: 0.1439 memory: 2821 2022/08/05 10:53:17 - mmengine - INFO - Epoch(val) [215][80/155] eta: 0:00:20 time: 0.2668 data_time: 0.0975 memory: 2821 2022/08/05 10:53:23 - mmengine - INFO - Epoch(val) [215][100/155] eta: 0:00:18 time: 0.3310 data_time: 0.1647 memory: 2821 2022/08/05 10:53:29 - mmengine - INFO - Epoch(val) [215][120/155] eta: 0:00:09 time: 0.2589 data_time: 0.0904 memory: 2821 2022/08/05 10:53:35 - mmengine - INFO - Epoch(val) [215][140/155] eta: 0:00:04 time: 0.3088 data_time: 0.1399 memory: 2821 2022/08/05 10:53:40 - mmengine - INFO - Epoch(val) [215][155/155] acc/top1: 0.6965 acc/top5: 0.8807 acc/mean1: 0.6964 2022/08/05 10:53:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 10:53:51 - mmengine - INFO - Epoch(train) [216][20/1879] lr: 1.0000e-04 eta: 9:15:43 time: 0.5709 data_time: 0.1267 memory: 17087 grad_norm: 6.8206 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8000 loss: 0.8000 2022/08/05 10:54:00 - mmengine - INFO - Epoch(train) [216][40/1879] lr: 1.0000e-04 eta: 9:15:34 time: 0.4325 data_time: 0.0182 memory: 17087 grad_norm: 6.8343 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6690 loss: 0.6690 2022/08/05 10:54:08 - mmengine - INFO - Epoch(train) [216][60/1879] lr: 1.0000e-04 eta: 9:15:26 time: 0.4310 data_time: 0.0143 memory: 17087 grad_norm: 6.9671 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8188 loss: 0.8188 2022/08/05 10:54:17 - mmengine - INFO - Epoch(train) [216][80/1879] lr: 1.0000e-04 eta: 9:15:17 time: 0.4444 data_time: 0.0204 memory: 17087 grad_norm: 6.8695 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7151 loss: 0.7151 2022/08/05 10:54:26 - mmengine - INFO - Epoch(train) [216][100/1879] lr: 1.0000e-04 eta: 9:15:08 time: 0.4305 data_time: 0.0156 memory: 17087 grad_norm: 6.8328 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8822 loss: 0.8822 2022/08/05 10:54:35 - mmengine - INFO - Epoch(train) [216][120/1879] lr: 1.0000e-04 eta: 9:15:00 time: 0.4517 data_time: 0.0181 memory: 17087 grad_norm: 7.1037 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8336 loss: 0.8336 2022/08/05 10:54:44 - mmengine - INFO - Epoch(train) [216][140/1879] lr: 1.0000e-04 eta: 9:14:51 time: 0.4341 data_time: 0.0182 memory: 17087 grad_norm: 6.8805 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8790 loss: 0.8790 2022/08/05 10:54:53 - mmengine - INFO - Epoch(train) [216][160/1879] lr: 1.0000e-04 eta: 9:14:43 time: 0.4521 data_time: 0.0168 memory: 17087 grad_norm: 6.8787 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7674 loss: 0.7674 2022/08/05 10:55:02 - mmengine - INFO - Epoch(train) [216][180/1879] lr: 1.0000e-04 eta: 9:14:34 time: 0.4345 data_time: 0.0190 memory: 17087 grad_norm: 7.0719 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8754 loss: 0.8754 2022/08/05 10:55:10 - mmengine - INFO - Epoch(train) [216][200/1879] lr: 1.0000e-04 eta: 9:14:25 time: 0.4312 data_time: 0.0176 memory: 17087 grad_norm: 6.8125 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.5612 loss: 0.5612 2022/08/05 10:55:19 - mmengine - INFO - Epoch(train) [216][220/1879] lr: 1.0000e-04 eta: 9:14:17 time: 0.4312 data_time: 0.0142 memory: 17087 grad_norm: 7.0575 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7552 loss: 0.7552 2022/08/05 10:55:28 - mmengine - INFO - Epoch(train) [216][240/1879] lr: 1.0000e-04 eta: 9:14:08 time: 0.4342 data_time: 0.0157 memory: 17087 grad_norm: 7.2307 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8049 loss: 0.8049 2022/08/05 10:55:37 - mmengine - INFO - Epoch(train) [216][260/1879] lr: 1.0000e-04 eta: 9:13:59 time: 0.4539 data_time: 0.0160 memory: 17087 grad_norm: 7.3143 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7683 loss: 0.7683 2022/08/05 10:55:45 - mmengine - INFO - Epoch(train) [216][280/1879] lr: 1.0000e-04 eta: 9:13:51 time: 0.4416 data_time: 0.0245 memory: 17087 grad_norm: 7.2052 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7854 loss: 0.7854 2022/08/05 10:55:54 - mmengine - INFO - Epoch(train) [216][300/1879] lr: 1.0000e-04 eta: 9:13:42 time: 0.4318 data_time: 0.0152 memory: 17087 grad_norm: 7.3434 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0086 loss: 1.0086 2022/08/05 10:56:03 - mmengine - INFO - Epoch(train) [216][320/1879] lr: 1.0000e-04 eta: 9:13:33 time: 0.4347 data_time: 0.0179 memory: 17087 grad_norm: 7.1862 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9296 loss: 0.9296 2022/08/05 10:56:12 - mmengine - INFO - Epoch(train) [216][340/1879] lr: 1.0000e-04 eta: 9:13:25 time: 0.4556 data_time: 0.0171 memory: 17087 grad_norm: 7.1847 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8223 loss: 0.8223 2022/08/05 10:56:21 - mmengine - INFO - Epoch(train) [216][360/1879] lr: 1.0000e-04 eta: 9:13:16 time: 0.4394 data_time: 0.0171 memory: 17087 grad_norm: 6.9176 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7380 loss: 0.7380 2022/08/05 10:56:29 - mmengine - INFO - Epoch(train) [216][380/1879] lr: 1.0000e-04 eta: 9:13:08 time: 0.4320 data_time: 0.0133 memory: 17087 grad_norm: 7.0549 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6891 loss: 0.6891 2022/08/05 10:56:38 - mmengine - INFO - Epoch(train) [216][400/1879] lr: 1.0000e-04 eta: 9:12:59 time: 0.4474 data_time: 0.0173 memory: 17087 grad_norm: 7.0536 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9520 loss: 0.9520 2022/08/05 10:56:47 - mmengine - INFO - Epoch(train) [216][420/1879] lr: 1.0000e-04 eta: 9:12:50 time: 0.4383 data_time: 0.0192 memory: 17087 grad_norm: 6.9187 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7268 loss: 0.7268 2022/08/05 10:56:56 - mmengine - INFO - Epoch(train) [216][440/1879] lr: 1.0000e-04 eta: 9:12:42 time: 0.4528 data_time: 0.0163 memory: 17087 grad_norm: 7.0175 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6884 loss: 0.6884 2022/08/05 10:57:05 - mmengine - INFO - Epoch(train) [216][460/1879] lr: 1.0000e-04 eta: 9:12:33 time: 0.4341 data_time: 0.0162 memory: 17087 grad_norm: 7.0479 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6887 loss: 0.6887 2022/08/05 10:57:14 - mmengine - INFO - Epoch(train) [216][480/1879] lr: 1.0000e-04 eta: 9:12:25 time: 0.4617 data_time: 0.0178 memory: 17087 grad_norm: 6.7122 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7004 loss: 0.7004 2022/08/05 10:57:23 - mmengine - INFO - Epoch(train) [216][500/1879] lr: 1.0000e-04 eta: 9:12:16 time: 0.4362 data_time: 0.0147 memory: 17087 grad_norm: 7.0920 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9734 loss: 0.9734 2022/08/05 10:57:32 - mmengine - INFO - Epoch(train) [216][520/1879] lr: 1.0000e-04 eta: 9:12:07 time: 0.4392 data_time: 0.0167 memory: 17087 grad_norm: 6.9045 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7040 loss: 0.7040 2022/08/05 10:57:40 - mmengine - INFO - Epoch(train) [216][540/1879] lr: 1.0000e-04 eta: 9:11:59 time: 0.4312 data_time: 0.0152 memory: 17087 grad_norm: 7.0229 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7145 loss: 0.7145 2022/08/05 10:57:49 - mmengine - INFO - Epoch(train) [216][560/1879] lr: 1.0000e-04 eta: 9:11:50 time: 0.4334 data_time: 0.0171 memory: 17087 grad_norm: 7.0074 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7486 loss: 0.7486 2022/08/05 10:57:58 - mmengine - INFO - Epoch(train) [216][580/1879] lr: 1.0000e-04 eta: 9:11:41 time: 0.4283 data_time: 0.0140 memory: 17087 grad_norm: 7.4422 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9709 loss: 0.9709 2022/08/05 10:58:06 - mmengine - INFO - Epoch(train) [216][600/1879] lr: 1.0000e-04 eta: 9:11:33 time: 0.4350 data_time: 0.0199 memory: 17087 grad_norm: 7.0233 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8637 loss: 0.8637 2022/08/05 10:58:15 - mmengine - INFO - Epoch(train) [216][620/1879] lr: 1.0000e-04 eta: 9:11:24 time: 0.4279 data_time: 0.0127 memory: 17087 grad_norm: 6.8762 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8327 loss: 0.8327 2022/08/05 10:58:25 - mmengine - INFO - Epoch(train) [216][640/1879] lr: 1.0000e-04 eta: 9:11:15 time: 0.4745 data_time: 0.0261 memory: 17087 grad_norm: 6.9812 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9331 loss: 0.9331 2022/08/05 10:58:33 - mmengine - INFO - Epoch(train) [216][660/1879] lr: 1.0000e-04 eta: 9:11:07 time: 0.4377 data_time: 0.0197 memory: 17087 grad_norm: 7.0653 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9724 loss: 0.9724 2022/08/05 10:58:42 - mmengine - INFO - Epoch(train) [216][680/1879] lr: 1.0000e-04 eta: 9:10:58 time: 0.4503 data_time: 0.0182 memory: 17087 grad_norm: 6.9901 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9149 loss: 0.9149 2022/08/05 10:58:51 - mmengine - INFO - Epoch(train) [216][700/1879] lr: 1.0000e-04 eta: 9:10:50 time: 0.4330 data_time: 0.0136 memory: 17087 grad_norm: 6.8447 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8491 loss: 0.8491 2022/08/05 10:59:00 - mmengine - INFO - Epoch(train) [216][720/1879] lr: 1.0000e-04 eta: 9:10:41 time: 0.4308 data_time: 0.0157 memory: 17087 grad_norm: 7.0446 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8414 loss: 0.8414 2022/08/05 10:59:08 - mmengine - INFO - Epoch(train) [216][740/1879] lr: 1.0000e-04 eta: 9:10:32 time: 0.4324 data_time: 0.0148 memory: 17087 grad_norm: 7.1653 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8778 loss: 0.8778 2022/08/05 10:59:17 - mmengine - INFO - Epoch(train) [216][760/1879] lr: 1.0000e-04 eta: 9:10:24 time: 0.4295 data_time: 0.0184 memory: 17087 grad_norm: 6.9334 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8492 loss: 0.8492 2022/08/05 10:59:26 - mmengine - INFO - Epoch(train) [216][780/1879] lr: 1.0000e-04 eta: 9:10:15 time: 0.4480 data_time: 0.0159 memory: 17087 grad_norm: 6.9906 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8763 loss: 0.8763 2022/08/05 10:59:35 - mmengine - INFO - Epoch(train) [216][800/1879] lr: 1.0000e-04 eta: 9:10:06 time: 0.4323 data_time: 0.0160 memory: 17087 grad_norm: 7.0796 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8650 loss: 0.8650 2022/08/05 10:59:43 - mmengine - INFO - Epoch(train) [216][820/1879] lr: 1.0000e-04 eta: 9:09:58 time: 0.4292 data_time: 0.0151 memory: 17087 grad_norm: 7.2392 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9377 loss: 0.9377 2022/08/05 10:59:52 - mmengine - INFO - Epoch(train) [216][840/1879] lr: 1.0000e-04 eta: 9:09:49 time: 0.4336 data_time: 0.0172 memory: 17087 grad_norm: 7.0861 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9176 loss: 0.9176 2022/08/05 11:00:01 - mmengine - INFO - Epoch(train) [216][860/1879] lr: 1.0000e-04 eta: 9:09:40 time: 0.4303 data_time: 0.0154 memory: 17087 grad_norm: 7.3879 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9814 loss: 0.9814 2022/08/05 11:00:09 - mmengine - INFO - Epoch(train) [216][880/1879] lr: 1.0000e-04 eta: 9:09:32 time: 0.4420 data_time: 0.0161 memory: 17087 grad_norm: 7.0842 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9000 loss: 0.9000 2022/08/05 11:00:18 - mmengine - INFO - Epoch(train) [216][900/1879] lr: 1.0000e-04 eta: 9:09:23 time: 0.4296 data_time: 0.0142 memory: 17087 grad_norm: 6.9246 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9379 loss: 0.9379 2022/08/05 11:00:27 - mmengine - INFO - Epoch(train) [216][920/1879] lr: 1.0000e-04 eta: 9:09:14 time: 0.4342 data_time: 0.0180 memory: 17087 grad_norm: 6.7617 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7568 loss: 0.7568 2022/08/05 11:00:35 - mmengine - INFO - Epoch(train) [216][940/1879] lr: 1.0000e-04 eta: 9:09:06 time: 0.4287 data_time: 0.0133 memory: 17087 grad_norm: 6.9768 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7810 loss: 0.7810 2022/08/05 11:00:45 - mmengine - INFO - Epoch(train) [216][960/1879] lr: 1.0000e-04 eta: 9:08:57 time: 0.4763 data_time: 0.0186 memory: 17087 grad_norm: 7.0337 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8229 loss: 0.8229 2022/08/05 11:00:54 - mmengine - INFO - Epoch(train) [216][980/1879] lr: 1.0000e-04 eta: 9:08:49 time: 0.4330 data_time: 0.0187 memory: 17087 grad_norm: 7.3051 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7645 loss: 0.7645 2022/08/05 11:01:02 - mmengine - INFO - Epoch(train) [216][1000/1879] lr: 1.0000e-04 eta: 9:08:40 time: 0.4395 data_time: 0.0180 memory: 17087 grad_norm: 7.0909 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8502 loss: 0.8502 2022/08/05 11:01:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 11:01:11 - mmengine - INFO - Epoch(train) [216][1020/1879] lr: 1.0000e-04 eta: 9:08:31 time: 0.4298 data_time: 0.0145 memory: 17087 grad_norm: 7.1210 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.1145 loss: 1.1145 2022/08/05 11:01:20 - mmengine - INFO - Epoch(train) [216][1040/1879] lr: 1.0000e-04 eta: 9:08:23 time: 0.4308 data_time: 0.0153 memory: 17087 grad_norm: 7.3180 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8944 loss: 0.8944 2022/08/05 11:01:29 - mmengine - INFO - Epoch(train) [216][1060/1879] lr: 1.0000e-04 eta: 9:08:14 time: 0.4524 data_time: 0.0143 memory: 17087 grad_norm: 6.9969 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7848 loss: 0.7848 2022/08/05 11:01:37 - mmengine - INFO - Epoch(train) [216][1080/1879] lr: 1.0000e-04 eta: 9:08:05 time: 0.4366 data_time: 0.0220 memory: 17087 grad_norm: 7.0187 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9055 loss: 0.9055 2022/08/05 11:01:46 - mmengine - INFO - Epoch(train) [216][1100/1879] lr: 1.0000e-04 eta: 9:07:57 time: 0.4466 data_time: 0.0154 memory: 17087 grad_norm: 6.8587 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7149 loss: 0.7149 2022/08/05 11:01:55 - mmengine - INFO - Epoch(train) [216][1120/1879] lr: 1.0000e-04 eta: 9:07:48 time: 0.4330 data_time: 0.0173 memory: 17087 grad_norm: 7.0460 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8501 loss: 0.8501 2022/08/05 11:02:04 - mmengine - INFO - Epoch(train) [216][1140/1879] lr: 1.0000e-04 eta: 9:07:39 time: 0.4484 data_time: 0.0169 memory: 17087 grad_norm: 6.7082 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6821 loss: 0.6821 2022/08/05 11:02:13 - mmengine - INFO - Epoch(train) [216][1160/1879] lr: 1.0000e-04 eta: 9:07:31 time: 0.4310 data_time: 0.0172 memory: 17087 grad_norm: 7.0295 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8885 loss: 0.8885 2022/08/05 11:02:21 - mmengine - INFO - Epoch(train) [216][1180/1879] lr: 1.0000e-04 eta: 9:07:22 time: 0.4320 data_time: 0.0152 memory: 17087 grad_norm: 7.2837 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7968 loss: 0.7968 2022/08/05 11:02:30 - mmengine - INFO - Epoch(train) [216][1200/1879] lr: 1.0000e-04 eta: 9:07:13 time: 0.4329 data_time: 0.0174 memory: 17087 grad_norm: 6.9738 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8783 loss: 0.8783 2022/08/05 11:02:39 - mmengine - INFO - Epoch(train) [216][1220/1879] lr: 1.0000e-04 eta: 9:07:05 time: 0.4284 data_time: 0.0135 memory: 17087 grad_norm: 7.0414 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8047 loss: 0.8047 2022/08/05 11:02:47 - mmengine - INFO - Epoch(train) [216][1240/1879] lr: 1.0000e-04 eta: 9:06:56 time: 0.4360 data_time: 0.0184 memory: 17087 grad_norm: 7.3060 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9635 loss: 0.9635 2022/08/05 11:02:56 - mmengine - INFO - Epoch(train) [216][1260/1879] lr: 1.0000e-04 eta: 9:06:47 time: 0.4303 data_time: 0.0139 memory: 17087 grad_norm: 7.1506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6737 loss: 0.6737 2022/08/05 11:03:05 - mmengine - INFO - Epoch(train) [216][1280/1879] lr: 1.0000e-04 eta: 9:06:39 time: 0.4548 data_time: 0.0164 memory: 17087 grad_norm: 6.9167 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8559 loss: 0.8559 2022/08/05 11:03:14 - mmengine - INFO - Epoch(train) [216][1300/1879] lr: 1.0000e-04 eta: 9:06:30 time: 0.4302 data_time: 0.0154 memory: 17087 grad_norm: 7.1706 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6496 loss: 0.6496 2022/08/05 11:03:22 - mmengine - INFO - Epoch(train) [216][1320/1879] lr: 1.0000e-04 eta: 9:06:22 time: 0.4341 data_time: 0.0179 memory: 17087 grad_norm: 6.9061 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8299 loss: 0.8299 2022/08/05 11:03:31 - mmengine - INFO - Epoch(train) [216][1340/1879] lr: 1.0000e-04 eta: 9:06:13 time: 0.4297 data_time: 0.0161 memory: 17087 grad_norm: 7.0130 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9074 loss: 0.9074 2022/08/05 11:03:40 - mmengine - INFO - Epoch(train) [216][1360/1879] lr: 1.0000e-04 eta: 9:06:04 time: 0.4366 data_time: 0.0180 memory: 17087 grad_norm: 6.8893 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7534 loss: 0.7534 2022/08/05 11:03:48 - mmengine - INFO - Epoch(train) [216][1380/1879] lr: 1.0000e-04 eta: 9:05:56 time: 0.4292 data_time: 0.0155 memory: 17087 grad_norm: 6.9667 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7908 loss: 0.7908 2022/08/05 11:03:57 - mmengine - INFO - Epoch(train) [216][1400/1879] lr: 1.0000e-04 eta: 9:05:47 time: 0.4368 data_time: 0.0186 memory: 17087 grad_norm: 6.7416 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7874 loss: 0.7874 2022/08/05 11:04:06 - mmengine - INFO - Epoch(train) [216][1420/1879] lr: 1.0000e-04 eta: 9:05:38 time: 0.4299 data_time: 0.0136 memory: 17087 grad_norm: 6.9115 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7540 loss: 0.7540 2022/08/05 11:04:15 - mmengine - INFO - Epoch(train) [216][1440/1879] lr: 1.0000e-04 eta: 9:05:30 time: 0.4352 data_time: 0.0164 memory: 17087 grad_norm: 6.9548 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8436 loss: 0.8436 2022/08/05 11:04:23 - mmengine - INFO - Epoch(train) [216][1460/1879] lr: 1.0000e-04 eta: 9:05:21 time: 0.4286 data_time: 0.0139 memory: 17087 grad_norm: 7.0639 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9430 loss: 0.9430 2022/08/05 11:04:32 - mmengine - INFO - Epoch(train) [216][1480/1879] lr: 1.0000e-04 eta: 9:05:12 time: 0.4547 data_time: 0.0175 memory: 17087 grad_norm: 7.0179 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8262 loss: 0.8262 2022/08/05 11:04:41 - mmengine - INFO - Epoch(train) [216][1500/1879] lr: 1.0000e-04 eta: 9:05:04 time: 0.4287 data_time: 0.0149 memory: 17087 grad_norm: 7.2480 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8143 loss: 0.8143 2022/08/05 11:04:50 - mmengine - INFO - Epoch(train) [216][1520/1879] lr: 1.0000e-04 eta: 9:04:55 time: 0.4349 data_time: 0.0163 memory: 17087 grad_norm: 7.3440 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0080 loss: 1.0080 2022/08/05 11:04:58 - mmengine - INFO - Epoch(train) [216][1540/1879] lr: 1.0000e-04 eta: 9:04:46 time: 0.4413 data_time: 0.0171 memory: 17087 grad_norm: 7.1671 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8361 loss: 0.8361 2022/08/05 11:05:07 - mmengine - INFO - Epoch(train) [216][1560/1879] lr: 1.0000e-04 eta: 9:04:38 time: 0.4345 data_time: 0.0177 memory: 17087 grad_norm: 6.9965 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8043 loss: 0.8043 2022/08/05 11:05:16 - mmengine - INFO - Epoch(train) [216][1580/1879] lr: 1.0000e-04 eta: 9:04:29 time: 0.4469 data_time: 0.0148 memory: 17087 grad_norm: 6.9826 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8158 loss: 0.8158 2022/08/05 11:05:25 - mmengine - INFO - Epoch(train) [216][1600/1879] lr: 1.0000e-04 eta: 9:04:20 time: 0.4350 data_time: 0.0154 memory: 17087 grad_norm: 6.9965 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6916 loss: 0.6916 2022/08/05 11:05:34 - mmengine - INFO - Epoch(train) [216][1620/1879] lr: 1.0000e-04 eta: 9:04:12 time: 0.4439 data_time: 0.0139 memory: 17087 grad_norm: 7.0141 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8637 loss: 0.8637 2022/08/05 11:05:43 - mmengine - INFO - Epoch(train) [216][1640/1879] lr: 1.0000e-04 eta: 9:04:03 time: 0.4400 data_time: 0.0181 memory: 17087 grad_norm: 7.3398 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8420 loss: 0.8420 2022/08/05 11:05:51 - mmengine - INFO - Epoch(train) [216][1660/1879] lr: 1.0000e-04 eta: 9:03:55 time: 0.4317 data_time: 0.0143 memory: 17087 grad_norm: 7.3120 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7020 loss: 0.7020 2022/08/05 11:06:00 - mmengine - INFO - Epoch(train) [216][1680/1879] lr: 1.0000e-04 eta: 9:03:46 time: 0.4310 data_time: 0.0158 memory: 17087 grad_norm: 7.0672 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7907 loss: 0.7907 2022/08/05 11:06:09 - mmengine - INFO - Epoch(train) [216][1700/1879] lr: 1.0000e-04 eta: 9:03:37 time: 0.4541 data_time: 0.0146 memory: 17087 grad_norm: 7.1157 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7996 loss: 0.7996 2022/08/05 11:06:18 - mmengine - INFO - Epoch(train) [216][1720/1879] lr: 1.0000e-04 eta: 9:03:29 time: 0.4366 data_time: 0.0159 memory: 17087 grad_norm: 6.9445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8178 loss: 0.8178 2022/08/05 11:06:27 - mmengine - INFO - Epoch(train) [216][1740/1879] lr: 1.0000e-04 eta: 9:03:20 time: 0.4511 data_time: 0.0151 memory: 17087 grad_norm: 7.1353 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8481 loss: 0.8481 2022/08/05 11:06:36 - mmengine - INFO - Epoch(train) [216][1760/1879] lr: 1.0000e-04 eta: 9:03:11 time: 0.4409 data_time: 0.0180 memory: 17087 grad_norm: 6.9513 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7224 loss: 0.7224 2022/08/05 11:06:44 - mmengine - INFO - Epoch(train) [216][1780/1879] lr: 1.0000e-04 eta: 9:03:03 time: 0.4436 data_time: 0.0169 memory: 17087 grad_norm: 7.1188 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9436 loss: 0.9436 2022/08/05 11:06:53 - mmengine - INFO - Epoch(train) [216][1800/1879] lr: 1.0000e-04 eta: 9:02:54 time: 0.4320 data_time: 0.0186 memory: 17087 grad_norm: 7.1081 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6690 loss: 0.6690 2022/08/05 11:07:02 - mmengine - INFO - Epoch(train) [216][1820/1879] lr: 1.0000e-04 eta: 9:02:45 time: 0.4301 data_time: 0.0136 memory: 17087 grad_norm: 7.0426 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8191 loss: 0.8191 2022/08/05 11:07:10 - mmengine - INFO - Epoch(train) [216][1840/1879] lr: 1.0000e-04 eta: 9:02:37 time: 0.4340 data_time: 0.0164 memory: 17087 grad_norm: 7.0156 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9339 loss: 0.9339 2022/08/05 11:07:19 - mmengine - INFO - Epoch(train) [216][1860/1879] lr: 1.0000e-04 eta: 9:02:28 time: 0.4322 data_time: 0.0163 memory: 17087 grad_norm: 7.1011 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7623 loss: 0.7623 2022/08/05 11:07:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 11:07:27 - mmengine - INFO - Epoch(train) [216][1879/1879] lr: 1.0000e-04 eta: 9:02:28 time: 0.4129 data_time: 0.0151 memory: 17087 grad_norm: 7.3458 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.7224 loss: 0.7224 2022/08/05 11:07:27 - mmengine - INFO - Saving checkpoint at 216 epochs 2022/08/05 11:07:41 - mmengine - INFO - Epoch(train) [217][20/1879] lr: 1.0000e-04 eta: 9:02:10 time: 0.5189 data_time: 0.1021 memory: 17087 grad_norm: 6.7504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8693 loss: 0.8693 2022/08/05 11:07:50 - mmengine - INFO - Epoch(train) [217][40/1879] lr: 1.0000e-04 eta: 9:02:02 time: 0.4625 data_time: 0.0175 memory: 17087 grad_norm: 7.4497 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7019 loss: 0.7019 2022/08/05 11:07:59 - mmengine - INFO - Epoch(train) [217][60/1879] lr: 1.0000e-04 eta: 9:01:53 time: 0.4434 data_time: 0.0212 memory: 17087 grad_norm: 7.2098 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7878 loss: 0.7878 2022/08/05 11:08:08 - mmengine - INFO - Epoch(train) [217][80/1879] lr: 1.0000e-04 eta: 9:01:44 time: 0.4335 data_time: 0.0162 memory: 17087 grad_norm: 7.1942 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7816 loss: 0.7816 2022/08/05 11:08:17 - mmengine - INFO - Epoch(train) [217][100/1879] lr: 1.0000e-04 eta: 9:01:36 time: 0.4590 data_time: 0.0190 memory: 17087 grad_norm: 7.0512 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8042 loss: 0.8042 2022/08/05 11:08:26 - mmengine - INFO - Epoch(train) [217][120/1879] lr: 1.0000e-04 eta: 9:01:27 time: 0.4357 data_time: 0.0224 memory: 17087 grad_norm: 6.6676 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7423 loss: 0.7423 2022/08/05 11:08:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 11:08:35 - mmengine - INFO - Epoch(train) [217][140/1879] lr: 1.0000e-04 eta: 9:01:18 time: 0.4393 data_time: 0.0165 memory: 17087 grad_norm: 6.9388 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8216 loss: 0.8216 2022/08/05 11:08:44 - mmengine - INFO - Epoch(train) [217][160/1879] lr: 1.0000e-04 eta: 9:01:10 time: 0.4351 data_time: 0.0213 memory: 17087 grad_norm: 7.0801 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8276 loss: 0.8276 2022/08/05 11:08:52 - mmengine - INFO - Epoch(train) [217][180/1879] lr: 1.0000e-04 eta: 9:01:01 time: 0.4356 data_time: 0.0167 memory: 17087 grad_norm: 7.2597 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7053 loss: 0.7053 2022/08/05 11:09:01 - mmengine - INFO - Epoch(train) [217][200/1879] lr: 1.0000e-04 eta: 9:00:52 time: 0.4341 data_time: 0.0160 memory: 17087 grad_norm: 6.9370 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8378 loss: 0.8378 2022/08/05 11:09:10 - mmengine - INFO - Epoch(train) [217][220/1879] lr: 1.0000e-04 eta: 9:00:44 time: 0.4298 data_time: 0.0159 memory: 17087 grad_norm: 7.1042 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8596 loss: 0.8596 2022/08/05 11:09:19 - mmengine - INFO - Epoch(train) [217][240/1879] lr: 1.0000e-04 eta: 9:00:35 time: 0.4646 data_time: 0.0155 memory: 17087 grad_norm: 7.0136 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8274 loss: 0.8274 2022/08/05 11:09:28 - mmengine - INFO - Epoch(train) [217][260/1879] lr: 1.0000e-04 eta: 9:00:27 time: 0.4374 data_time: 0.0212 memory: 17087 grad_norm: 6.8299 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6620 loss: 0.6620 2022/08/05 11:09:36 - mmengine - INFO - Epoch(train) [217][280/1879] lr: 1.0000e-04 eta: 9:00:18 time: 0.4328 data_time: 0.0168 memory: 17087 grad_norm: 6.8078 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8415 loss: 0.8415 2022/08/05 11:09:45 - mmengine - INFO - Epoch(train) [217][300/1879] lr: 1.0000e-04 eta: 9:00:09 time: 0.4345 data_time: 0.0159 memory: 17087 grad_norm: 7.0973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8880 loss: 0.8880 2022/08/05 11:09:54 - mmengine - INFO - Epoch(train) [217][320/1879] lr: 1.0000e-04 eta: 9:00:01 time: 0.4313 data_time: 0.0166 memory: 17087 grad_norm: 6.9684 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8827 loss: 0.8827 2022/08/05 11:10:03 - mmengine - INFO - Epoch(train) [217][340/1879] lr: 1.0000e-04 eta: 8:59:52 time: 0.4386 data_time: 0.0214 memory: 17087 grad_norm: 6.6796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7607 loss: 0.7607 2022/08/05 11:10:11 - mmengine - INFO - Epoch(train) [217][360/1879] lr: 1.0000e-04 eta: 8:59:43 time: 0.4312 data_time: 0.0169 memory: 17087 grad_norm: 6.8127 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8676 loss: 0.8676 2022/08/05 11:10:20 - mmengine - INFO - Epoch(train) [217][380/1879] lr: 1.0000e-04 eta: 8:59:35 time: 0.4307 data_time: 0.0148 memory: 17087 grad_norm: 7.2921 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9885 loss: 0.9885 2022/08/05 11:10:29 - mmengine - INFO - Epoch(train) [217][400/1879] lr: 1.0000e-04 eta: 8:59:26 time: 0.4526 data_time: 0.0171 memory: 17087 grad_norm: 7.3129 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9001 loss: 0.9001 2022/08/05 11:10:38 - mmengine - INFO - Epoch(train) [217][420/1879] lr: 1.0000e-04 eta: 8:59:17 time: 0.4304 data_time: 0.0156 memory: 17087 grad_norm: 6.9818 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7506 loss: 0.7506 2022/08/05 11:10:47 - mmengine - INFO - Epoch(train) [217][440/1879] lr: 1.0000e-04 eta: 8:59:09 time: 0.4570 data_time: 0.0225 memory: 17087 grad_norm: 7.6411 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7984 loss: 0.7984 2022/08/05 11:10:55 - mmengine - INFO - Epoch(train) [217][460/1879] lr: 1.0000e-04 eta: 8:59:00 time: 0.4316 data_time: 0.0150 memory: 17087 grad_norm: 7.1514 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9176 loss: 0.9176 2022/08/05 11:11:04 - mmengine - INFO - Epoch(train) [217][480/1879] lr: 1.0000e-04 eta: 8:58:52 time: 0.4376 data_time: 0.0206 memory: 17087 grad_norm: 7.1659 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7803 loss: 0.7803 2022/08/05 11:11:13 - mmengine - INFO - Epoch(train) [217][500/1879] lr: 1.0000e-04 eta: 8:58:43 time: 0.4286 data_time: 0.0169 memory: 17087 grad_norm: 6.9596 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9670 loss: 0.9670 2022/08/05 11:11:21 - mmengine - INFO - Epoch(train) [217][520/1879] lr: 1.0000e-04 eta: 8:58:34 time: 0.4322 data_time: 0.0158 memory: 17087 grad_norm: 7.1956 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7740 loss: 0.7740 2022/08/05 11:11:30 - mmengine - INFO - Epoch(train) [217][540/1879] lr: 1.0000e-04 eta: 8:58:26 time: 0.4546 data_time: 0.0164 memory: 17087 grad_norm: 6.7690 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8243 loss: 0.8243 2022/08/05 11:11:39 - mmengine - INFO - Epoch(train) [217][560/1879] lr: 1.0000e-04 eta: 8:58:17 time: 0.4317 data_time: 0.0153 memory: 17087 grad_norm: 7.0986 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9428 loss: 0.9428 2022/08/05 11:11:48 - mmengine - INFO - Epoch(train) [217][580/1879] lr: 1.0000e-04 eta: 8:58:08 time: 0.4656 data_time: 0.0208 memory: 17087 grad_norm: 6.9614 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8934 loss: 0.8934 2022/08/05 11:11:57 - mmengine - INFO - Epoch(train) [217][600/1879] lr: 1.0000e-04 eta: 8:58:00 time: 0.4315 data_time: 0.0157 memory: 17087 grad_norm: 6.8664 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8410 loss: 0.8410 2022/08/05 11:12:06 - mmengine - INFO - Epoch(train) [217][620/1879] lr: 1.0000e-04 eta: 8:57:51 time: 0.4629 data_time: 0.0210 memory: 17087 grad_norm: 6.9237 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7759 loss: 0.7759 2022/08/05 11:12:15 - mmengine - INFO - Epoch(train) [217][640/1879] lr: 1.0000e-04 eta: 8:57:43 time: 0.4322 data_time: 0.0175 memory: 17087 grad_norm: 6.6833 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8855 loss: 0.8855 2022/08/05 11:12:24 - mmengine - INFO - Epoch(train) [217][660/1879] lr: 1.0000e-04 eta: 8:57:34 time: 0.4480 data_time: 0.0214 memory: 17087 grad_norm: 7.1262 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8548 loss: 0.8548 2022/08/05 11:12:33 - mmengine - INFO - Epoch(train) [217][680/1879] lr: 1.0000e-04 eta: 8:57:25 time: 0.4352 data_time: 0.0179 memory: 17087 grad_norm: 6.8708 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7625 loss: 0.7625 2022/08/05 11:12:41 - mmengine - INFO - Epoch(train) [217][700/1879] lr: 1.0000e-04 eta: 8:57:17 time: 0.4317 data_time: 0.0156 memory: 17087 grad_norm: 7.0349 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8994 loss: 0.8994 2022/08/05 11:12:50 - mmengine - INFO - Epoch(train) [217][720/1879] lr: 1.0000e-04 eta: 8:57:08 time: 0.4370 data_time: 0.0174 memory: 17087 grad_norm: 7.3552 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8074 loss: 0.8074 2022/08/05 11:12:59 - mmengine - INFO - Epoch(train) [217][740/1879] lr: 1.0000e-04 eta: 8:56:59 time: 0.4309 data_time: 0.0155 memory: 17087 grad_norm: 7.0658 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8331 loss: 0.8331 2022/08/05 11:13:07 - mmengine - INFO - Epoch(train) [217][760/1879] lr: 1.0000e-04 eta: 8:56:51 time: 0.4325 data_time: 0.0170 memory: 17087 grad_norm: 7.0885 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6994 loss: 0.6994 2022/08/05 11:13:16 - mmengine - INFO - Epoch(train) [217][780/1879] lr: 1.0000e-04 eta: 8:56:42 time: 0.4350 data_time: 0.0178 memory: 17087 grad_norm: 7.2005 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7650 loss: 0.7650 2022/08/05 11:13:25 - mmengine - INFO - Epoch(train) [217][800/1879] lr: 1.0000e-04 eta: 8:56:33 time: 0.4523 data_time: 0.0163 memory: 17087 grad_norm: 6.8840 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8585 loss: 0.8585 2022/08/05 11:13:34 - mmengine - INFO - Epoch(train) [217][820/1879] lr: 1.0000e-04 eta: 8:56:25 time: 0.4348 data_time: 0.0163 memory: 17087 grad_norm: 7.2388 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6208 loss: 0.6208 2022/08/05 11:13:43 - mmengine - INFO - Epoch(train) [217][840/1879] lr: 1.0000e-04 eta: 8:56:16 time: 0.4555 data_time: 0.0191 memory: 17087 grad_norm: 6.8760 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7596 loss: 0.7596 2022/08/05 11:13:52 - mmengine - INFO - Epoch(train) [217][860/1879] lr: 1.0000e-04 eta: 8:56:08 time: 0.4295 data_time: 0.0147 memory: 17087 grad_norm: 7.0149 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7388 loss: 0.7388 2022/08/05 11:14:01 - mmengine - INFO - Epoch(train) [217][880/1879] lr: 1.0000e-04 eta: 8:55:59 time: 0.4376 data_time: 0.0208 memory: 17087 grad_norm: 7.1055 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9246 loss: 0.9246 2022/08/05 11:14:10 - mmengine - INFO - Epoch(train) [217][900/1879] lr: 1.0000e-04 eta: 8:55:50 time: 0.4524 data_time: 0.0167 memory: 17087 grad_norm: 6.9811 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6081 loss: 0.6081 2022/08/05 11:14:18 - mmengine - INFO - Epoch(train) [217][920/1879] lr: 1.0000e-04 eta: 8:55:42 time: 0.4344 data_time: 0.0169 memory: 17087 grad_norm: 7.1475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8835 loss: 0.8835 2022/08/05 11:14:27 - mmengine - INFO - Epoch(train) [217][940/1879] lr: 1.0000e-04 eta: 8:55:33 time: 0.4328 data_time: 0.0161 memory: 17087 grad_norm: 7.1690 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8285 loss: 0.8285 2022/08/05 11:14:36 - mmengine - INFO - Epoch(train) [217][960/1879] lr: 1.0000e-04 eta: 8:55:24 time: 0.4603 data_time: 0.0166 memory: 17087 grad_norm: 6.8498 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7816 loss: 0.7816 2022/08/05 11:14:45 - mmengine - INFO - Epoch(train) [217][980/1879] lr: 1.0000e-04 eta: 8:55:16 time: 0.4295 data_time: 0.0152 memory: 17087 grad_norm: 6.9680 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7670 loss: 0.7670 2022/08/05 11:14:54 - mmengine - INFO - Epoch(train) [217][1000/1879] lr: 1.0000e-04 eta: 8:55:07 time: 0.4438 data_time: 0.0232 memory: 17087 grad_norm: 7.0496 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8805 loss: 0.8805 2022/08/05 11:15:02 - mmengine - INFO - Epoch(train) [217][1020/1879] lr: 1.0000e-04 eta: 8:54:58 time: 0.4312 data_time: 0.0152 memory: 17087 grad_norm: 6.9046 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8607 loss: 0.8607 2022/08/05 11:15:11 - mmengine - INFO - Epoch(train) [217][1040/1879] lr: 1.0000e-04 eta: 8:54:50 time: 0.4334 data_time: 0.0185 memory: 17087 grad_norm: 7.0583 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7638 loss: 0.7638 2022/08/05 11:15:20 - mmengine - INFO - Epoch(train) [217][1060/1879] lr: 1.0000e-04 eta: 8:54:41 time: 0.4375 data_time: 0.0176 memory: 17087 grad_norm: 7.1583 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7116 loss: 0.7116 2022/08/05 11:15:28 - mmengine - INFO - Epoch(train) [217][1080/1879] lr: 1.0000e-04 eta: 8:54:32 time: 0.4314 data_time: 0.0161 memory: 17087 grad_norm: 7.0607 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8782 loss: 0.8782 2022/08/05 11:15:38 - mmengine - INFO - Epoch(train) [217][1100/1879] lr: 1.0000e-04 eta: 8:54:24 time: 0.4539 data_time: 0.0145 memory: 17087 grad_norm: 7.3114 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7627 loss: 0.7627 2022/08/05 11:15:46 - mmengine - INFO - Epoch(train) [217][1120/1879] lr: 1.0000e-04 eta: 8:54:15 time: 0.4308 data_time: 0.0160 memory: 17087 grad_norm: 7.3828 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8968 loss: 0.8968 2022/08/05 11:15:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 11:15:55 - mmengine - INFO - Epoch(train) [217][1140/1879] lr: 1.0000e-04 eta: 8:54:07 time: 0.4532 data_time: 0.0165 memory: 17087 grad_norm: 7.0644 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7472 loss: 0.7472 2022/08/05 11:16:04 - mmengine - INFO - Epoch(train) [217][1160/1879] lr: 1.0000e-04 eta: 8:53:58 time: 0.4362 data_time: 0.0218 memory: 17087 grad_norm: 7.1440 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9022 loss: 0.9022 2022/08/05 11:16:13 - mmengine - INFO - Epoch(train) [217][1180/1879] lr: 1.0000e-04 eta: 8:53:49 time: 0.4331 data_time: 0.0151 memory: 17087 grad_norm: 6.8673 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6738 loss: 0.6738 2022/08/05 11:16:21 - mmengine - INFO - Epoch(train) [217][1200/1879] lr: 1.0000e-04 eta: 8:53:41 time: 0.4320 data_time: 0.0165 memory: 17087 grad_norm: 7.1451 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9104 loss: 0.9104 2022/08/05 11:16:30 - mmengine - INFO - Epoch(train) [217][1220/1879] lr: 1.0000e-04 eta: 8:53:32 time: 0.4376 data_time: 0.0174 memory: 17087 grad_norm: 7.0985 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8757 loss: 0.8757 2022/08/05 11:16:39 - mmengine - INFO - Epoch(train) [217][1240/1879] lr: 1.0000e-04 eta: 8:53:23 time: 0.4486 data_time: 0.0169 memory: 17087 grad_norm: 6.9022 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9616 loss: 0.9616 2022/08/05 11:16:48 - mmengine - INFO - Epoch(train) [217][1260/1879] lr: 1.0000e-04 eta: 8:53:15 time: 0.4355 data_time: 0.0163 memory: 17087 grad_norm: 7.3096 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8535 loss: 0.8535 2022/08/05 11:16:57 - mmengine - INFO - Epoch(train) [217][1280/1879] lr: 1.0000e-04 eta: 8:53:06 time: 0.4315 data_time: 0.0162 memory: 17087 grad_norm: 7.0731 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8133 loss: 0.8133 2022/08/05 11:17:05 - mmengine - INFO - Epoch(train) [217][1300/1879] lr: 1.0000e-04 eta: 8:52:57 time: 0.4348 data_time: 0.0161 memory: 17087 grad_norm: 7.3640 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8709 loss: 0.8709 2022/08/05 11:17:14 - mmengine - INFO - Epoch(train) [217][1320/1879] lr: 1.0000e-04 eta: 8:52:49 time: 0.4498 data_time: 0.0163 memory: 17087 grad_norm: 7.1562 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9037 loss: 0.9037 2022/08/05 11:17:23 - mmengine - INFO - Epoch(train) [217][1340/1879] lr: 1.0000e-04 eta: 8:52:40 time: 0.4323 data_time: 0.0147 memory: 17087 grad_norm: 6.9268 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7832 loss: 0.7832 2022/08/05 11:17:32 - mmengine - INFO - Epoch(train) [217][1360/1879] lr: 1.0000e-04 eta: 8:52:32 time: 0.4328 data_time: 0.0173 memory: 17087 grad_norm: 6.9397 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8369 loss: 0.8369 2022/08/05 11:17:40 - mmengine - INFO - Epoch(train) [217][1380/1879] lr: 1.0000e-04 eta: 8:52:23 time: 0.4313 data_time: 0.0157 memory: 17087 grad_norm: 7.1365 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8288 loss: 0.8288 2022/08/05 11:17:49 - mmengine - INFO - Epoch(train) [217][1400/1879] lr: 1.0000e-04 eta: 8:52:14 time: 0.4356 data_time: 0.0200 memory: 17087 grad_norm: 6.9458 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8414 loss: 0.8414 2022/08/05 11:17:58 - mmengine - INFO - Epoch(train) [217][1420/1879] lr: 1.0000e-04 eta: 8:52:06 time: 0.4303 data_time: 0.0154 memory: 17087 grad_norm: 7.0821 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9473 loss: 0.9473 2022/08/05 11:18:06 - mmengine - INFO - Epoch(train) [217][1440/1879] lr: 1.0000e-04 eta: 8:51:57 time: 0.4384 data_time: 0.0187 memory: 17087 grad_norm: 6.9067 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7260 loss: 0.7260 2022/08/05 11:18:15 - mmengine - INFO - Epoch(train) [217][1460/1879] lr: 1.0000e-04 eta: 8:51:48 time: 0.4328 data_time: 0.0161 memory: 17087 grad_norm: 6.9664 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7389 loss: 0.7389 2022/08/05 11:18:24 - mmengine - INFO - Epoch(train) [217][1480/1879] lr: 1.0000e-04 eta: 8:51:40 time: 0.4419 data_time: 0.0178 memory: 17087 grad_norm: 7.1489 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8007 loss: 0.8007 2022/08/05 11:18:33 - mmengine - INFO - Epoch(train) [217][1500/1879] lr: 1.0000e-04 eta: 8:51:31 time: 0.4293 data_time: 0.0153 memory: 17087 grad_norm: 7.0453 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6783 loss: 0.6783 2022/08/05 11:18:41 - mmengine - INFO - Epoch(train) [217][1520/1879] lr: 1.0000e-04 eta: 8:51:22 time: 0.4374 data_time: 0.0231 memory: 17087 grad_norm: 7.1269 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7941 loss: 0.7941 2022/08/05 11:18:50 - mmengine - INFO - Epoch(train) [217][1540/1879] lr: 1.0000e-04 eta: 8:51:14 time: 0.4391 data_time: 0.0161 memory: 17087 grad_norm: 6.7884 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7637 loss: 0.7637 2022/08/05 11:18:59 - mmengine - INFO - Epoch(train) [217][1560/1879] lr: 1.0000e-04 eta: 8:51:05 time: 0.4355 data_time: 0.0164 memory: 17087 grad_norm: 6.9994 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7506 loss: 0.7506 2022/08/05 11:19:08 - mmengine - INFO - Epoch(train) [217][1580/1879] lr: 1.0000e-04 eta: 8:50:56 time: 0.4543 data_time: 0.0174 memory: 17087 grad_norm: 7.0192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9486 loss: 0.9486 2022/08/05 11:19:17 - mmengine - INFO - Epoch(train) [217][1600/1879] lr: 1.0000e-04 eta: 8:50:48 time: 0.4315 data_time: 0.0159 memory: 17087 grad_norm: 6.8527 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0656 loss: 1.0656 2022/08/05 11:19:25 - mmengine - INFO - Epoch(train) [217][1620/1879] lr: 1.0000e-04 eta: 8:50:39 time: 0.4382 data_time: 0.0151 memory: 17087 grad_norm: 7.1374 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9798 loss: 0.9798 2022/08/05 11:19:34 - mmengine - INFO - Epoch(train) [217][1640/1879] lr: 1.0000e-04 eta: 8:50:31 time: 0.4361 data_time: 0.0176 memory: 17087 grad_norm: 7.1028 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8399 loss: 0.8399 2022/08/05 11:19:43 - mmengine - INFO - Epoch(train) [217][1660/1879] lr: 1.0000e-04 eta: 8:50:22 time: 0.4330 data_time: 0.0155 memory: 17087 grad_norm: 6.8529 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8734 loss: 0.8734 2022/08/05 11:19:52 - mmengine - INFO - Epoch(train) [217][1680/1879] lr: 1.0000e-04 eta: 8:50:13 time: 0.4400 data_time: 0.0173 memory: 17087 grad_norm: 6.8525 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9704 loss: 0.9704 2022/08/05 11:20:00 - mmengine - INFO - Epoch(train) [217][1700/1879] lr: 1.0000e-04 eta: 8:50:05 time: 0.4309 data_time: 0.0158 memory: 17087 grad_norm: 6.8526 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8198 loss: 0.8198 2022/08/05 11:20:09 - mmengine - INFO - Epoch(train) [217][1720/1879] lr: 1.0000e-04 eta: 8:49:56 time: 0.4370 data_time: 0.0175 memory: 17087 grad_norm: 7.0923 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6849 loss: 0.6849 2022/08/05 11:20:18 - mmengine - INFO - Epoch(train) [217][1740/1879] lr: 1.0000e-04 eta: 8:49:47 time: 0.4314 data_time: 0.0168 memory: 17087 grad_norm: 6.8175 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8376 loss: 0.8376 2022/08/05 11:20:27 - mmengine - INFO - Epoch(train) [217][1760/1879] lr: 1.0000e-04 eta: 8:49:39 time: 0.4603 data_time: 0.0175 memory: 17087 grad_norm: 7.0261 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7616 loss: 0.7616 2022/08/05 11:20:36 - mmengine - INFO - Epoch(train) [217][1780/1879] lr: 1.0000e-04 eta: 8:49:30 time: 0.4294 data_time: 0.0155 memory: 17087 grad_norm: 6.8483 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8615 loss: 0.8615 2022/08/05 11:20:44 - mmengine - INFO - Epoch(train) [217][1800/1879] lr: 1.0000e-04 eta: 8:49:21 time: 0.4433 data_time: 0.0180 memory: 17087 grad_norm: 7.0668 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7175 loss: 0.7175 2022/08/05 11:20:53 - mmengine - INFO - Epoch(train) [217][1820/1879] lr: 1.0000e-04 eta: 8:49:13 time: 0.4301 data_time: 0.0144 memory: 17087 grad_norm: 6.7747 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7872 loss: 0.7872 2022/08/05 11:21:02 - mmengine - INFO - Epoch(train) [217][1840/1879] lr: 1.0000e-04 eta: 8:49:04 time: 0.4316 data_time: 0.0173 memory: 17087 grad_norm: 7.0916 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7270 loss: 0.7270 2022/08/05 11:21:11 - mmengine - INFO - Epoch(train) [217][1860/1879] lr: 1.0000e-04 eta: 8:48:55 time: 0.4389 data_time: 0.0159 memory: 17087 grad_norm: 7.0352 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8264 loss: 0.8264 2022/08/05 11:21:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 11:21:18 - mmengine - INFO - Epoch(train) [217][1879/1879] lr: 1.0000e-04 eta: 8:48:55 time: 0.4104 data_time: 0.0151 memory: 17087 grad_norm: 6.8784 top1_acc: 0.7143 top5_acc: 0.7143 loss_cls: 0.8462 loss: 0.8462 2022/08/05 11:21:30 - mmengine - INFO - Epoch(train) [218][20/1879] lr: 1.0000e-04 eta: 8:48:38 time: 0.5659 data_time: 0.1271 memory: 17087 grad_norm: 6.8575 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9191 loss: 0.9191 2022/08/05 11:21:39 - mmengine - INFO - Epoch(train) [218][40/1879] lr: 1.0000e-04 eta: 8:48:29 time: 0.4388 data_time: 0.0209 memory: 17087 grad_norm: 7.1368 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8767 loss: 0.8767 2022/08/05 11:21:47 - mmengine - INFO - Epoch(train) [218][60/1879] lr: 1.0000e-04 eta: 8:48:20 time: 0.4345 data_time: 0.0145 memory: 17087 grad_norm: 6.7990 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7879 loss: 0.7879 2022/08/05 11:21:56 - mmengine - INFO - Epoch(train) [218][80/1879] lr: 1.0000e-04 eta: 8:48:12 time: 0.4562 data_time: 0.0169 memory: 17087 grad_norm: 7.0496 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8112 loss: 0.8112 2022/08/05 11:22:05 - mmengine - INFO - Epoch(train) [218][100/1879] lr: 1.0000e-04 eta: 8:48:03 time: 0.4395 data_time: 0.0204 memory: 17087 grad_norm: 7.2631 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8012 loss: 0.8012 2022/08/05 11:22:14 - mmengine - INFO - Epoch(train) [218][120/1879] lr: 1.0000e-04 eta: 8:47:54 time: 0.4322 data_time: 0.0170 memory: 17087 grad_norm: 7.0628 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7763 loss: 0.7763 2022/08/05 11:22:23 - mmengine - INFO - Epoch(train) [218][140/1879] lr: 1.0000e-04 eta: 8:47:46 time: 0.4301 data_time: 0.0140 memory: 17087 grad_norm: 6.8930 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8211 loss: 0.8211 2022/08/05 11:22:32 - mmengine - INFO - Epoch(train) [218][160/1879] lr: 1.0000e-04 eta: 8:47:37 time: 0.4580 data_time: 0.0188 memory: 17087 grad_norm: 6.9751 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8553 loss: 0.8553 2022/08/05 11:22:40 - mmengine - INFO - Epoch(train) [218][180/1879] lr: 1.0000e-04 eta: 8:47:28 time: 0.4321 data_time: 0.0153 memory: 17087 grad_norm: 7.1678 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8631 loss: 0.8631 2022/08/05 11:22:49 - mmengine - INFO - Epoch(train) [218][200/1879] lr: 1.0000e-04 eta: 8:47:20 time: 0.4461 data_time: 0.0189 memory: 17087 grad_norm: 7.3835 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8930 loss: 0.8930 2022/08/05 11:22:58 - mmengine - INFO - Epoch(train) [218][220/1879] lr: 1.0000e-04 eta: 8:47:11 time: 0.4350 data_time: 0.0170 memory: 17087 grad_norm: 6.8885 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7878 loss: 0.7878 2022/08/05 11:23:07 - mmengine - INFO - Epoch(train) [218][240/1879] lr: 1.0000e-04 eta: 8:47:03 time: 0.4710 data_time: 0.0189 memory: 17087 grad_norm: 7.1601 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8116 loss: 0.8116 2022/08/05 11:23:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 11:23:16 - mmengine - INFO - Epoch(train) [218][260/1879] lr: 1.0000e-04 eta: 8:46:54 time: 0.4329 data_time: 0.0177 memory: 17087 grad_norm: 6.8531 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8062 loss: 0.8062 2022/08/05 11:23:25 - mmengine - INFO - Epoch(train) [218][280/1879] lr: 1.0000e-04 eta: 8:46:45 time: 0.4352 data_time: 0.0170 memory: 17087 grad_norm: 7.2594 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9231 loss: 0.9231 2022/08/05 11:23:33 - mmengine - INFO - Epoch(train) [218][300/1879] lr: 1.0000e-04 eta: 8:46:37 time: 0.4295 data_time: 0.0148 memory: 17087 grad_norm: 7.1859 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9081 loss: 0.9081 2022/08/05 11:23:42 - mmengine - INFO - Epoch(train) [218][320/1879] lr: 1.0000e-04 eta: 8:46:28 time: 0.4302 data_time: 0.0163 memory: 17087 grad_norm: 7.0029 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9459 loss: 0.9459 2022/08/05 11:23:51 - mmengine - INFO - Epoch(train) [218][340/1879] lr: 1.0000e-04 eta: 8:46:19 time: 0.4431 data_time: 0.0160 memory: 17087 grad_norm: 6.9905 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7844 loss: 0.7844 2022/08/05 11:24:00 - mmengine - INFO - Epoch(train) [218][360/1879] lr: 1.0000e-04 eta: 8:46:11 time: 0.4330 data_time: 0.0158 memory: 17087 grad_norm: 7.0884 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7274 loss: 0.7274 2022/08/05 11:24:08 - mmengine - INFO - Epoch(train) [218][380/1879] lr: 1.0000e-04 eta: 8:46:02 time: 0.4343 data_time: 0.0162 memory: 17087 grad_norm: 7.3109 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9627 loss: 0.9627 2022/08/05 11:24:17 - mmengine - INFO - Epoch(train) [218][400/1879] lr: 1.0000e-04 eta: 8:45:53 time: 0.4339 data_time: 0.0171 memory: 17087 grad_norm: 7.2571 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7324 loss: 0.7324 2022/08/05 11:24:26 - mmengine - INFO - Epoch(train) [218][420/1879] lr: 1.0000e-04 eta: 8:45:45 time: 0.4425 data_time: 0.0139 memory: 17087 grad_norm: 7.1710 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8715 loss: 0.8715 2022/08/05 11:24:35 - mmengine - INFO - Epoch(train) [218][440/1879] lr: 1.0000e-04 eta: 8:45:36 time: 0.4308 data_time: 0.0162 memory: 17087 grad_norm: 7.0628 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8748 loss: 0.8748 2022/08/05 11:24:43 - mmengine - INFO - Epoch(train) [218][460/1879] lr: 1.0000e-04 eta: 8:45:27 time: 0.4299 data_time: 0.0159 memory: 17087 grad_norm: 7.0498 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8143 loss: 0.8143 2022/08/05 11:24:52 - mmengine - INFO - Epoch(train) [218][480/1879] lr: 1.0000e-04 eta: 8:45:19 time: 0.4355 data_time: 0.0200 memory: 17087 grad_norm: 7.1855 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8226 loss: 0.8226 2022/08/05 11:25:01 - mmengine - INFO - Epoch(train) [218][500/1879] lr: 1.0000e-04 eta: 8:45:10 time: 0.4296 data_time: 0.0148 memory: 17087 grad_norm: 7.0584 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8174 loss: 0.8174 2022/08/05 11:25:10 - mmengine - INFO - Epoch(train) [218][520/1879] lr: 1.0000e-04 eta: 8:45:02 time: 0.4677 data_time: 0.0180 memory: 17087 grad_norm: 7.1741 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8318 loss: 0.8318 2022/08/05 11:25:19 - mmengine - INFO - Epoch(train) [218][540/1879] lr: 1.0000e-04 eta: 8:44:53 time: 0.4321 data_time: 0.0149 memory: 17087 grad_norm: 6.9915 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7498 loss: 0.7498 2022/08/05 11:25:28 - mmengine - INFO - Epoch(train) [218][560/1879] lr: 1.0000e-04 eta: 8:44:44 time: 0.4615 data_time: 0.0184 memory: 17087 grad_norm: 7.0443 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8834 loss: 0.8834 2022/08/05 11:25:37 - mmengine - INFO - Epoch(train) [218][580/1879] lr: 1.0000e-04 eta: 8:44:36 time: 0.4310 data_time: 0.0140 memory: 17087 grad_norm: 6.8541 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7371 loss: 0.7371 2022/08/05 11:25:45 - mmengine - INFO - Epoch(train) [218][600/1879] lr: 1.0000e-04 eta: 8:44:27 time: 0.4434 data_time: 0.0173 memory: 17087 grad_norm: 7.0055 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7994 loss: 0.7994 2022/08/05 11:25:54 - mmengine - INFO - Epoch(train) [218][620/1879] lr: 1.0000e-04 eta: 8:44:18 time: 0.4332 data_time: 0.0149 memory: 17087 grad_norm: 7.1860 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0738 loss: 1.0738 2022/08/05 11:26:03 - mmengine - INFO - Epoch(train) [218][640/1879] lr: 1.0000e-04 eta: 8:44:10 time: 0.4303 data_time: 0.0156 memory: 17087 grad_norm: 7.2216 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7540 loss: 0.7540 2022/08/05 11:26:11 - mmengine - INFO - Epoch(train) [218][660/1879] lr: 1.0000e-04 eta: 8:44:01 time: 0.4347 data_time: 0.0154 memory: 17087 grad_norm: 6.9416 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8466 loss: 0.8466 2022/08/05 11:26:20 - mmengine - INFO - Epoch(train) [218][680/1879] lr: 1.0000e-04 eta: 8:43:52 time: 0.4319 data_time: 0.0179 memory: 17087 grad_norm: 6.9162 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.1257 loss: 1.1257 2022/08/05 11:26:29 - mmengine - INFO - Epoch(train) [218][700/1879] lr: 1.0000e-04 eta: 8:43:44 time: 0.4424 data_time: 0.0162 memory: 17087 grad_norm: 7.1406 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9155 loss: 0.9155 2022/08/05 11:26:38 - mmengine - INFO - Epoch(train) [218][720/1879] lr: 1.0000e-04 eta: 8:43:35 time: 0.4312 data_time: 0.0171 memory: 17087 grad_norm: 7.0256 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6772 loss: 0.6772 2022/08/05 11:26:46 - mmengine - INFO - Epoch(train) [218][740/1879] lr: 1.0000e-04 eta: 8:43:27 time: 0.4326 data_time: 0.0158 memory: 17087 grad_norm: 7.1533 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7461 loss: 0.7461 2022/08/05 11:26:55 - mmengine - INFO - Epoch(train) [218][760/1879] lr: 1.0000e-04 eta: 8:43:18 time: 0.4306 data_time: 0.0167 memory: 17087 grad_norm: 7.1117 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7637 loss: 0.7637 2022/08/05 11:27:04 - mmengine - INFO - Epoch(train) [218][780/1879] lr: 1.0000e-04 eta: 8:43:09 time: 0.4363 data_time: 0.0137 memory: 17087 grad_norm: 6.9641 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8029 loss: 0.8029 2022/08/05 11:27:13 - mmengine - INFO - Epoch(train) [218][800/1879] lr: 1.0000e-04 eta: 8:43:01 time: 0.4632 data_time: 0.0195 memory: 17087 grad_norm: 6.9607 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8691 loss: 0.8691 2022/08/05 11:27:22 - mmengine - INFO - Epoch(train) [218][820/1879] lr: 1.0000e-04 eta: 8:42:52 time: 0.4293 data_time: 0.0124 memory: 17087 grad_norm: 6.8853 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8889 loss: 0.8889 2022/08/05 11:27:30 - mmengine - INFO - Epoch(train) [218][840/1879] lr: 1.0000e-04 eta: 8:42:43 time: 0.4385 data_time: 0.0192 memory: 17087 grad_norm: 6.9120 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8769 loss: 0.8769 2022/08/05 11:27:39 - mmengine - INFO - Epoch(train) [218][860/1879] lr: 1.0000e-04 eta: 8:42:35 time: 0.4310 data_time: 0.0147 memory: 17087 grad_norm: 7.1512 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8505 loss: 0.8505 2022/08/05 11:27:48 - mmengine - INFO - Epoch(train) [218][880/1879] lr: 1.0000e-04 eta: 8:42:26 time: 0.4363 data_time: 0.0187 memory: 17087 grad_norm: 7.3401 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8084 loss: 0.8084 2022/08/05 11:27:56 - mmengine - INFO - Epoch(train) [218][900/1879] lr: 1.0000e-04 eta: 8:42:17 time: 0.4302 data_time: 0.0146 memory: 17087 grad_norm: 7.0708 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9333 loss: 0.9333 2022/08/05 11:28:05 - mmengine - INFO - Epoch(train) [218][920/1879] lr: 1.0000e-04 eta: 8:42:09 time: 0.4472 data_time: 0.0201 memory: 17087 grad_norm: 6.9745 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7672 loss: 0.7672 2022/08/05 11:28:14 - mmengine - INFO - Epoch(train) [218][940/1879] lr: 1.0000e-04 eta: 8:42:00 time: 0.4316 data_time: 0.0183 memory: 17087 grad_norm: 7.0833 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8404 loss: 0.8404 2022/08/05 11:28:23 - mmengine - INFO - Epoch(train) [218][960/1879] lr: 1.0000e-04 eta: 8:41:51 time: 0.4310 data_time: 0.0165 memory: 17087 grad_norm: 6.8256 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7647 loss: 0.7647 2022/08/05 11:28:32 - mmengine - INFO - Epoch(train) [218][980/1879] lr: 1.0000e-04 eta: 8:41:43 time: 0.4679 data_time: 0.0153 memory: 17087 grad_norm: 7.0734 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8263 loss: 0.8263 2022/08/05 11:28:41 - mmengine - INFO - Epoch(train) [218][1000/1879] lr: 1.0000e-04 eta: 8:41:34 time: 0.4309 data_time: 0.0162 memory: 17087 grad_norm: 6.9200 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9046 loss: 0.9046 2022/08/05 11:28:50 - mmengine - INFO - Epoch(train) [218][1020/1879] lr: 1.0000e-04 eta: 8:41:26 time: 0.4506 data_time: 0.0149 memory: 17087 grad_norm: 7.1106 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8241 loss: 0.8241 2022/08/05 11:28:58 - mmengine - INFO - Epoch(train) [218][1040/1879] lr: 1.0000e-04 eta: 8:41:17 time: 0.4314 data_time: 0.0189 memory: 17087 grad_norm: 6.9505 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8430 loss: 0.8430 2022/08/05 11:29:07 - mmengine - INFO - Epoch(train) [218][1060/1879] lr: 1.0000e-04 eta: 8:41:08 time: 0.4404 data_time: 0.0142 memory: 17087 grad_norm: 6.7513 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8466 loss: 0.8466 2022/08/05 11:29:16 - mmengine - INFO - Epoch(train) [218][1080/1879] lr: 1.0000e-04 eta: 8:41:00 time: 0.4307 data_time: 0.0159 memory: 17087 grad_norm: 6.8853 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8284 loss: 0.8284 2022/08/05 11:29:25 - mmengine - INFO - Epoch(train) [218][1100/1879] lr: 1.0000e-04 eta: 8:40:51 time: 0.4508 data_time: 0.0156 memory: 17087 grad_norm: 6.9732 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8706 loss: 0.8706 2022/08/05 11:29:34 - mmengine - INFO - Epoch(train) [218][1120/1879] lr: 1.0000e-04 eta: 8:40:42 time: 0.4317 data_time: 0.0169 memory: 17087 grad_norm: 7.2789 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9132 loss: 0.9132 2022/08/05 11:29:42 - mmengine - INFO - Epoch(train) [218][1140/1879] lr: 1.0000e-04 eta: 8:40:34 time: 0.4285 data_time: 0.0128 memory: 17087 grad_norm: 6.9724 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8819 loss: 0.8819 2022/08/05 11:29:52 - mmengine - INFO - Epoch(train) [218][1160/1879] lr: 1.0000e-04 eta: 8:40:25 time: 0.4727 data_time: 0.0193 memory: 17087 grad_norm: 7.0003 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6617 loss: 0.6617 2022/08/05 11:30:00 - mmengine - INFO - Epoch(train) [218][1180/1879] lr: 1.0000e-04 eta: 8:40:17 time: 0.4316 data_time: 0.0146 memory: 17087 grad_norm: 6.9812 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8160 loss: 0.8160 2022/08/05 11:30:10 - mmengine - INFO - Epoch(train) [218][1200/1879] lr: 1.0000e-04 eta: 8:40:08 time: 0.4686 data_time: 0.0194 memory: 17087 grad_norm: 6.8293 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9803 loss: 0.9803 2022/08/05 11:30:18 - mmengine - INFO - Epoch(train) [218][1220/1879] lr: 1.0000e-04 eta: 8:39:59 time: 0.4313 data_time: 0.0180 memory: 17087 grad_norm: 7.2127 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7971 loss: 0.7971 2022/08/05 11:30:28 - mmengine - INFO - Epoch(train) [218][1240/1879] lr: 1.0000e-04 eta: 8:39:51 time: 0.4750 data_time: 0.0178 memory: 17087 grad_norm: 6.8582 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9099 loss: 0.9099 2022/08/05 11:30:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 11:30:36 - mmengine - INFO - Epoch(train) [218][1260/1879] lr: 1.0000e-04 eta: 8:39:42 time: 0.4320 data_time: 0.0149 memory: 17087 grad_norm: 7.1238 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9553 loss: 0.9553 2022/08/05 11:30:45 - mmengine - INFO - Epoch(train) [218][1280/1879] lr: 1.0000e-04 eta: 8:39:34 time: 0.4395 data_time: 0.0165 memory: 17087 grad_norm: 7.2014 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6829 loss: 0.6829 2022/08/05 11:30:54 - mmengine - INFO - Epoch(train) [218][1300/1879] lr: 1.0000e-04 eta: 8:39:25 time: 0.4280 data_time: 0.0144 memory: 17087 grad_norm: 7.3589 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0124 loss: 1.0124 2022/08/05 11:31:03 - mmengine - INFO - Epoch(train) [218][1320/1879] lr: 1.0000e-04 eta: 8:39:16 time: 0.4314 data_time: 0.0163 memory: 17087 grad_norm: 7.0879 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8729 loss: 0.8729 2022/08/05 11:31:12 - mmengine - INFO - Epoch(train) [218][1340/1879] lr: 1.0000e-04 eta: 8:39:08 time: 0.4687 data_time: 0.0158 memory: 17087 grad_norm: 7.2224 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8779 loss: 0.8779 2022/08/05 11:31:21 - mmengine - INFO - Epoch(train) [218][1360/1879] lr: 1.0000e-04 eta: 8:38:59 time: 0.4325 data_time: 0.0167 memory: 17087 grad_norm: 6.7614 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6645 loss: 0.6645 2022/08/05 11:31:30 - mmengine - INFO - Epoch(train) [218][1380/1879] lr: 1.0000e-04 eta: 8:38:50 time: 0.4642 data_time: 0.0186 memory: 17087 grad_norm: 7.0601 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8966 loss: 0.8966 2022/08/05 11:31:39 - mmengine - INFO - Epoch(train) [218][1400/1879] lr: 1.0000e-04 eta: 8:38:42 time: 0.4312 data_time: 0.0169 memory: 17087 grad_norm: 7.0739 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7455 loss: 0.7455 2022/08/05 11:31:47 - mmengine - INFO - Epoch(train) [218][1420/1879] lr: 1.0000e-04 eta: 8:38:33 time: 0.4400 data_time: 0.0140 memory: 17087 grad_norm: 7.0179 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8300 loss: 0.8300 2022/08/05 11:31:56 - mmengine - INFO - Epoch(train) [218][1440/1879] lr: 1.0000e-04 eta: 8:38:25 time: 0.4418 data_time: 0.0168 memory: 17087 grad_norm: 6.9729 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8591 loss: 0.8591 2022/08/05 11:32:05 - mmengine - INFO - Epoch(train) [218][1460/1879] lr: 1.0000e-04 eta: 8:38:16 time: 0.4299 data_time: 0.0158 memory: 17087 grad_norm: 6.6566 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.7759 loss: 0.7759 2022/08/05 11:32:14 - mmengine - INFO - Epoch(train) [218][1480/1879] lr: 1.0000e-04 eta: 8:38:07 time: 0.4314 data_time: 0.0169 memory: 17087 grad_norm: 6.8304 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8274 loss: 0.8274 2022/08/05 11:32:22 - mmengine - INFO - Epoch(train) [218][1500/1879] lr: 1.0000e-04 eta: 8:37:59 time: 0.4302 data_time: 0.0151 memory: 17087 grad_norm: 7.0093 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9429 loss: 0.9429 2022/08/05 11:32:31 - mmengine - INFO - Epoch(train) [218][1520/1879] lr: 1.0000e-04 eta: 8:37:50 time: 0.4385 data_time: 0.0172 memory: 17087 grad_norm: 6.9695 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7904 loss: 0.7904 2022/08/05 11:32:40 - mmengine - INFO - Epoch(train) [218][1540/1879] lr: 1.0000e-04 eta: 8:37:41 time: 0.4537 data_time: 0.0153 memory: 17087 grad_norm: 7.0822 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7495 loss: 0.7495 2022/08/05 11:32:49 - mmengine - INFO - Epoch(train) [218][1560/1879] lr: 1.0000e-04 eta: 8:37:33 time: 0.4437 data_time: 0.0205 memory: 17087 grad_norm: 6.9222 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8623 loss: 0.8623 2022/08/05 11:32:58 - mmengine - INFO - Epoch(train) [218][1580/1879] lr: 1.0000e-04 eta: 8:37:24 time: 0.4351 data_time: 0.0155 memory: 17087 grad_norm: 6.9869 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6846 loss: 0.6846 2022/08/05 11:33:06 - mmengine - INFO - Epoch(train) [218][1600/1879] lr: 1.0000e-04 eta: 8:37:15 time: 0.4332 data_time: 0.0156 memory: 17087 grad_norm: 7.1299 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9039 loss: 0.9039 2022/08/05 11:33:15 - mmengine - INFO - Epoch(train) [218][1620/1879] lr: 1.0000e-04 eta: 8:37:07 time: 0.4392 data_time: 0.0168 memory: 17087 grad_norm: 7.2248 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7286 loss: 0.7286 2022/08/05 11:33:24 - mmengine - INFO - Epoch(train) [218][1640/1879] lr: 1.0000e-04 eta: 8:36:58 time: 0.4296 data_time: 0.0155 memory: 17087 grad_norm: 7.0146 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6919 loss: 0.6919 2022/08/05 11:33:33 - mmengine - INFO - Epoch(train) [218][1660/1879] lr: 1.0000e-04 eta: 8:36:49 time: 0.4388 data_time: 0.0216 memory: 17087 grad_norm: 7.1559 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0852 loss: 1.0852 2022/08/05 11:33:41 - mmengine - INFO - Epoch(train) [218][1680/1879] lr: 1.0000e-04 eta: 8:36:41 time: 0.4329 data_time: 0.0179 memory: 17087 grad_norm: 6.8786 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9178 loss: 0.9178 2022/08/05 11:33:50 - mmengine - INFO - Epoch(train) [218][1700/1879] lr: 1.0000e-04 eta: 8:36:32 time: 0.4445 data_time: 0.0164 memory: 17087 grad_norm: 7.2973 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7751 loss: 0.7751 2022/08/05 11:33:59 - mmengine - INFO - Epoch(train) [218][1720/1879] lr: 1.0000e-04 eta: 8:36:24 time: 0.4480 data_time: 0.0173 memory: 17087 grad_norm: 6.8316 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9175 loss: 0.9175 2022/08/05 11:34:08 - mmengine - INFO - Epoch(train) [218][1740/1879] lr: 1.0000e-04 eta: 8:36:15 time: 0.4562 data_time: 0.0155 memory: 17087 grad_norm: 6.8641 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6725 loss: 0.6725 2022/08/05 11:34:17 - mmengine - INFO - Epoch(train) [218][1760/1879] lr: 1.0000e-04 eta: 8:36:06 time: 0.4337 data_time: 0.0172 memory: 17087 grad_norm: 7.1679 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6880 loss: 0.6880 2022/08/05 11:34:26 - mmengine - INFO - Epoch(train) [218][1780/1879] lr: 1.0000e-04 eta: 8:35:58 time: 0.4384 data_time: 0.0134 memory: 17087 grad_norm: 7.2872 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9128 loss: 0.9128 2022/08/05 11:34:34 - mmengine - INFO - Epoch(train) [218][1800/1879] lr: 1.0000e-04 eta: 8:35:49 time: 0.4326 data_time: 0.0178 memory: 17087 grad_norm: 7.0476 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7733 loss: 0.7733 2022/08/05 11:34:43 - mmengine - INFO - Epoch(train) [218][1820/1879] lr: 1.0000e-04 eta: 8:35:40 time: 0.4312 data_time: 0.0141 memory: 17087 grad_norm: 7.1230 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8417 loss: 0.8417 2022/08/05 11:34:52 - mmengine - INFO - Epoch(train) [218][1840/1879] lr: 1.0000e-04 eta: 8:35:32 time: 0.4381 data_time: 0.0204 memory: 17087 grad_norm: 7.0700 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.7875 loss: 0.7875 2022/08/05 11:35:00 - mmengine - INFO - Epoch(train) [218][1860/1879] lr: 1.0000e-04 eta: 8:35:23 time: 0.4300 data_time: 0.0142 memory: 17087 grad_norm: 7.0753 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9662 loss: 0.9662 2022/08/05 11:35:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 11:35:09 - mmengine - INFO - Epoch(train) [218][1879/1879] lr: 1.0000e-04 eta: 8:35:23 time: 0.4276 data_time: 0.0159 memory: 17087 grad_norm: 7.1367 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7741 loss: 0.7741 2022/08/05 11:35:20 - mmengine - INFO - Epoch(train) [219][20/1879] lr: 1.0000e-04 eta: 8:35:05 time: 0.5746 data_time: 0.1357 memory: 17087 grad_norm: 7.3684 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7215 loss: 0.7215 2022/08/05 11:35:29 - mmengine - INFO - Epoch(train) [219][40/1879] lr: 1.0000e-04 eta: 8:34:57 time: 0.4379 data_time: 0.0191 memory: 17087 grad_norm: 7.0290 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8055 loss: 0.8055 2022/08/05 11:35:38 - mmengine - INFO - Epoch(train) [219][60/1879] lr: 1.0000e-04 eta: 8:34:48 time: 0.4502 data_time: 0.0169 memory: 17087 grad_norm: 7.0488 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7967 loss: 0.7967 2022/08/05 11:35:47 - mmengine - INFO - Epoch(train) [219][80/1879] lr: 1.0000e-04 eta: 8:34:39 time: 0.4429 data_time: 0.0179 memory: 17087 grad_norm: 6.9226 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8693 loss: 0.8693 2022/08/05 11:35:56 - mmengine - INFO - Epoch(train) [219][100/1879] lr: 1.0000e-04 eta: 8:34:31 time: 0.4479 data_time: 0.0149 memory: 17087 grad_norm: 6.9867 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8454 loss: 0.8454 2022/08/05 11:36:05 - mmengine - INFO - Epoch(train) [219][120/1879] lr: 1.0000e-04 eta: 8:34:22 time: 0.4323 data_time: 0.0158 memory: 17087 grad_norm: 7.1527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8220 loss: 0.8220 2022/08/05 11:36:13 - mmengine - INFO - Epoch(train) [219][140/1879] lr: 1.0000e-04 eta: 8:34:13 time: 0.4435 data_time: 0.0166 memory: 17087 grad_norm: 7.1362 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7637 loss: 0.7637 2022/08/05 11:36:22 - mmengine - INFO - Epoch(train) [219][160/1879] lr: 1.0000e-04 eta: 8:34:05 time: 0.4368 data_time: 0.0160 memory: 17087 grad_norm: 6.7979 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8105 loss: 0.8105 2022/08/05 11:36:31 - mmengine - INFO - Epoch(train) [219][180/1879] lr: 1.0000e-04 eta: 8:33:56 time: 0.4325 data_time: 0.0171 memory: 17087 grad_norm: 7.1121 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8462 loss: 0.8462 2022/08/05 11:36:40 - mmengine - INFO - Epoch(train) [219][200/1879] lr: 1.0000e-04 eta: 8:33:47 time: 0.4381 data_time: 0.0167 memory: 17087 grad_norm: 7.2122 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8422 loss: 0.8422 2022/08/05 11:36:49 - mmengine - INFO - Epoch(train) [219][220/1879] lr: 1.0000e-04 eta: 8:33:39 time: 0.4426 data_time: 0.0268 memory: 17087 grad_norm: 6.9950 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8802 loss: 0.8802 2022/08/05 11:36:57 - mmengine - INFO - Epoch(train) [219][240/1879] lr: 1.0000e-04 eta: 8:33:30 time: 0.4403 data_time: 0.0173 memory: 17087 grad_norm: 6.8139 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7931 loss: 0.7931 2022/08/05 11:37:06 - mmengine - INFO - Epoch(train) [219][260/1879] lr: 1.0000e-04 eta: 8:33:22 time: 0.4330 data_time: 0.0151 memory: 17087 grad_norm: 7.1697 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8095 loss: 0.8095 2022/08/05 11:37:15 - mmengine - INFO - Epoch(train) [219][280/1879] lr: 1.0000e-04 eta: 8:33:13 time: 0.4332 data_time: 0.0174 memory: 17087 grad_norm: 7.0828 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8066 loss: 0.8066 2022/08/05 11:37:23 - mmengine - INFO - Epoch(train) [219][300/1879] lr: 1.0000e-04 eta: 8:33:04 time: 0.4333 data_time: 0.0156 memory: 17087 grad_norm: 7.0115 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7946 loss: 0.7946 2022/08/05 11:37:32 - mmengine - INFO - Epoch(train) [219][320/1879] lr: 1.0000e-04 eta: 8:32:56 time: 0.4304 data_time: 0.0162 memory: 17087 grad_norm: 7.1754 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8066 loss: 0.8066 2022/08/05 11:37:41 - mmengine - INFO - Epoch(train) [219][340/1879] lr: 1.0000e-04 eta: 8:32:47 time: 0.4354 data_time: 0.0150 memory: 17087 grad_norm: 6.9049 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8172 loss: 0.8172 2022/08/05 11:37:50 - mmengine - INFO - Epoch(train) [219][360/1879] lr: 1.0000e-04 eta: 8:32:38 time: 0.4482 data_time: 0.0167 memory: 17087 grad_norm: 7.0809 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6263 loss: 0.6263 2022/08/05 11:37:58 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 11:37:59 - mmengine - INFO - Epoch(train) [219][380/1879] lr: 1.0000e-04 eta: 8:32:30 time: 0.4393 data_time: 0.0181 memory: 17087 grad_norm: 7.0090 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8578 loss: 0.8578 2022/08/05 11:38:07 - mmengine - INFO - Epoch(train) [219][400/1879] lr: 1.0000e-04 eta: 8:32:21 time: 0.4319 data_time: 0.0177 memory: 17087 grad_norm: 7.1437 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8862 loss: 0.8862 2022/08/05 11:38:16 - mmengine - INFO - Epoch(train) [219][420/1879] lr: 1.0000e-04 eta: 8:32:12 time: 0.4517 data_time: 0.0188 memory: 17087 grad_norm: 7.0949 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7134 loss: 0.7134 2022/08/05 11:38:25 - mmengine - INFO - Epoch(train) [219][440/1879] lr: 1.0000e-04 eta: 8:32:04 time: 0.4300 data_time: 0.0172 memory: 17087 grad_norm: 6.9758 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8514 loss: 0.8514 2022/08/05 11:38:34 - mmengine - INFO - Epoch(train) [219][460/1879] lr: 1.0000e-04 eta: 8:31:55 time: 0.4353 data_time: 0.0190 memory: 17087 grad_norm: 7.2410 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8879 loss: 0.8879 2022/08/05 11:38:43 - mmengine - INFO - Epoch(train) [219][480/1879] lr: 1.0000e-04 eta: 8:31:47 time: 0.4695 data_time: 0.0171 memory: 17087 grad_norm: 6.9726 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9112 loss: 0.9112 2022/08/05 11:38:52 - mmengine - INFO - Epoch(train) [219][500/1879] lr: 1.0000e-04 eta: 8:31:38 time: 0.4307 data_time: 0.0143 memory: 17087 grad_norm: 6.9175 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7427 loss: 0.7427 2022/08/05 11:39:01 - mmengine - INFO - Epoch(train) [219][520/1879] lr: 1.0000e-04 eta: 8:31:29 time: 0.4473 data_time: 0.0178 memory: 17087 grad_norm: 7.0617 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7110 loss: 0.7110 2022/08/05 11:39:09 - mmengine - INFO - Epoch(train) [219][540/1879] lr: 1.0000e-04 eta: 8:31:21 time: 0.4311 data_time: 0.0144 memory: 17087 grad_norm: 7.3011 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8319 loss: 0.8319 2022/08/05 11:39:18 - mmengine - INFO - Epoch(train) [219][560/1879] lr: 1.0000e-04 eta: 8:31:12 time: 0.4318 data_time: 0.0190 memory: 17087 grad_norm: 7.1457 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6896 loss: 0.6896 2022/08/05 11:39:27 - mmengine - INFO - Epoch(train) [219][580/1879] lr: 1.0000e-04 eta: 8:31:03 time: 0.4323 data_time: 0.0163 memory: 17087 grad_norm: 7.0751 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 1.0595 loss: 1.0595 2022/08/05 11:39:35 - mmengine - INFO - Epoch(train) [219][600/1879] lr: 1.0000e-04 eta: 8:30:55 time: 0.4329 data_time: 0.0156 memory: 17087 grad_norm: 7.1266 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9122 loss: 0.9122 2022/08/05 11:39:44 - mmengine - INFO - Epoch(train) [219][620/1879] lr: 1.0000e-04 eta: 8:30:46 time: 0.4329 data_time: 0.0159 memory: 17087 grad_norm: 7.0115 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6918 loss: 0.6918 2022/08/05 11:39:53 - mmengine - INFO - Epoch(train) [219][640/1879] lr: 1.0000e-04 eta: 8:30:37 time: 0.4418 data_time: 0.0197 memory: 17087 grad_norm: 6.9167 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9105 loss: 0.9105 2022/08/05 11:40:02 - mmengine - INFO - Epoch(train) [219][660/1879] lr: 1.0000e-04 eta: 8:30:29 time: 0.4331 data_time: 0.0156 memory: 17087 grad_norm: 6.9832 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6611 loss: 0.6611 2022/08/05 11:40:10 - mmengine - INFO - Epoch(train) [219][680/1879] lr: 1.0000e-04 eta: 8:30:20 time: 0.4379 data_time: 0.0203 memory: 17087 grad_norm: 6.9915 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8327 loss: 0.8327 2022/08/05 11:40:19 - mmengine - INFO - Epoch(train) [219][700/1879] lr: 1.0000e-04 eta: 8:30:11 time: 0.4369 data_time: 0.0160 memory: 17087 grad_norm: 7.0013 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8605 loss: 0.8605 2022/08/05 11:40:28 - mmengine - INFO - Epoch(train) [219][720/1879] lr: 1.0000e-04 eta: 8:30:03 time: 0.4400 data_time: 0.0164 memory: 17087 grad_norm: 7.1148 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7910 loss: 0.7910 2022/08/05 11:40:37 - mmengine - INFO - Epoch(train) [219][740/1879] lr: 1.0000e-04 eta: 8:29:54 time: 0.4487 data_time: 0.0184 memory: 17087 grad_norm: 7.1937 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7354 loss: 0.7354 2022/08/05 11:40:46 - mmengine - INFO - Epoch(train) [219][760/1879] lr: 1.0000e-04 eta: 8:29:46 time: 0.4355 data_time: 0.0163 memory: 17087 grad_norm: 7.2324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8298 loss: 0.8298 2022/08/05 11:40:54 - mmengine - INFO - Epoch(train) [219][780/1879] lr: 1.0000e-04 eta: 8:29:37 time: 0.4309 data_time: 0.0153 memory: 17087 grad_norm: 7.2138 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8663 loss: 0.8663 2022/08/05 11:41:03 - mmengine - INFO - Epoch(train) [219][800/1879] lr: 1.0000e-04 eta: 8:29:28 time: 0.4603 data_time: 0.0174 memory: 17087 grad_norm: 6.9391 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8719 loss: 0.8719 2022/08/05 11:41:12 - mmengine - INFO - Epoch(train) [219][820/1879] lr: 1.0000e-04 eta: 8:29:20 time: 0.4304 data_time: 0.0155 memory: 17087 grad_norm: 7.1359 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8552 loss: 0.8552 2022/08/05 11:41:21 - mmengine - INFO - Epoch(train) [219][840/1879] lr: 1.0000e-04 eta: 8:29:11 time: 0.4531 data_time: 0.0174 memory: 17087 grad_norm: 7.0864 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8879 loss: 0.8879 2022/08/05 11:41:30 - mmengine - INFO - Epoch(train) [219][860/1879] lr: 1.0000e-04 eta: 8:29:02 time: 0.4304 data_time: 0.0160 memory: 17087 grad_norm: 7.2041 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7946 loss: 0.7946 2022/08/05 11:41:39 - mmengine - INFO - Epoch(train) [219][880/1879] lr: 1.0000e-04 eta: 8:28:54 time: 0.4472 data_time: 0.0157 memory: 17087 grad_norm: 7.1641 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8585 loss: 0.8585 2022/08/05 11:41:47 - mmengine - INFO - Epoch(train) [219][900/1879] lr: 1.0000e-04 eta: 8:28:45 time: 0.4333 data_time: 0.0160 memory: 17087 grad_norm: 7.0414 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7794 loss: 0.7794 2022/08/05 11:41:56 - mmengine - INFO - Epoch(train) [219][920/1879] lr: 1.0000e-04 eta: 8:28:36 time: 0.4326 data_time: 0.0161 memory: 17087 grad_norm: 7.1099 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8000 loss: 0.8000 2022/08/05 11:42:05 - mmengine - INFO - Epoch(train) [219][940/1879] lr: 1.0000e-04 eta: 8:28:28 time: 0.4308 data_time: 0.0144 memory: 17087 grad_norm: 7.6790 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7509 loss: 0.7509 2022/08/05 11:42:14 - mmengine - INFO - Epoch(train) [219][960/1879] lr: 1.0000e-04 eta: 8:28:19 time: 0.4366 data_time: 0.0182 memory: 17087 grad_norm: 7.1490 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0133 loss: 1.0133 2022/08/05 11:42:22 - mmengine - INFO - Epoch(train) [219][980/1879] lr: 1.0000e-04 eta: 8:28:10 time: 0.4319 data_time: 0.0154 memory: 17087 grad_norm: 7.0841 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8310 loss: 0.8310 2022/08/05 11:42:31 - mmengine - INFO - Epoch(train) [219][1000/1879] lr: 1.0000e-04 eta: 8:28:02 time: 0.4468 data_time: 0.0218 memory: 17087 grad_norm: 7.1563 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9092 loss: 0.9092 2022/08/05 11:42:40 - mmengine - INFO - Epoch(train) [219][1020/1879] lr: 1.0000e-04 eta: 8:27:53 time: 0.4377 data_time: 0.0214 memory: 17087 grad_norm: 7.0111 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8261 loss: 0.8261 2022/08/05 11:42:49 - mmengine - INFO - Epoch(train) [219][1040/1879] lr: 1.0000e-04 eta: 8:27:45 time: 0.4652 data_time: 0.0190 memory: 17087 grad_norm: 7.0020 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7898 loss: 0.7898 2022/08/05 11:42:58 - mmengine - INFO - Epoch(train) [219][1060/1879] lr: 1.0000e-04 eta: 8:27:36 time: 0.4352 data_time: 0.0206 memory: 17087 grad_norm: 7.2378 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9425 loss: 0.9425 2022/08/05 11:43:07 - mmengine - INFO - Epoch(train) [219][1080/1879] lr: 1.0000e-04 eta: 8:27:27 time: 0.4674 data_time: 0.0181 memory: 17087 grad_norm: 6.9566 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7383 loss: 0.7383 2022/08/05 11:43:16 - mmengine - INFO - Epoch(train) [219][1100/1879] lr: 1.0000e-04 eta: 8:27:19 time: 0.4315 data_time: 0.0158 memory: 17087 grad_norm: 7.2398 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7199 loss: 0.7199 2022/08/05 11:43:25 - mmengine - INFO - Epoch(train) [219][1120/1879] lr: 1.0000e-04 eta: 8:27:10 time: 0.4350 data_time: 0.0191 memory: 17087 grad_norm: 7.3063 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.8156 loss: 0.8156 2022/08/05 11:43:34 - mmengine - INFO - Epoch(train) [219][1140/1879] lr: 1.0000e-04 eta: 8:27:02 time: 0.4581 data_time: 0.0154 memory: 17087 grad_norm: 7.1112 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8513 loss: 0.8513 2022/08/05 11:43:43 - mmengine - INFO - Epoch(train) [219][1160/1879] lr: 1.0000e-04 eta: 8:26:53 time: 0.4353 data_time: 0.0212 memory: 17087 grad_norm: 7.0766 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8784 loss: 0.8784 2022/08/05 11:43:52 - mmengine - INFO - Epoch(train) [219][1180/1879] lr: 1.0000e-04 eta: 8:26:44 time: 0.4504 data_time: 0.0150 memory: 17087 grad_norm: 6.9492 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7173 loss: 0.7173 2022/08/05 11:44:01 - mmengine - INFO - Epoch(train) [219][1200/1879] lr: 1.0000e-04 eta: 8:26:36 time: 0.4518 data_time: 0.0181 memory: 17087 grad_norm: 7.2261 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8776 loss: 0.8776 2022/08/05 11:44:09 - mmengine - INFO - Epoch(train) [219][1220/1879] lr: 1.0000e-04 eta: 8:26:27 time: 0.4309 data_time: 0.0155 memory: 17087 grad_norm: 7.2003 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7878 loss: 0.7878 2022/08/05 11:44:19 - mmengine - INFO - Epoch(train) [219][1240/1879] lr: 1.0000e-04 eta: 8:26:18 time: 0.4592 data_time: 0.0180 memory: 17087 grad_norm: 7.0269 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9124 loss: 0.9124 2022/08/05 11:44:27 - mmengine - INFO - Epoch(train) [219][1260/1879] lr: 1.0000e-04 eta: 8:26:10 time: 0.4312 data_time: 0.0143 memory: 17087 grad_norm: 7.2638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7616 loss: 0.7616 2022/08/05 11:44:36 - mmengine - INFO - Epoch(train) [219][1280/1879] lr: 1.0000e-04 eta: 8:26:01 time: 0.4602 data_time: 0.0189 memory: 17087 grad_norm: 6.9534 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8510 loss: 0.8510 2022/08/05 11:44:45 - mmengine - INFO - Epoch(train) [219][1300/1879] lr: 1.0000e-04 eta: 8:25:53 time: 0.4300 data_time: 0.0139 memory: 17087 grad_norm: 7.3171 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7944 loss: 0.7944 2022/08/05 11:44:54 - mmengine - INFO - Epoch(train) [219][1320/1879] lr: 1.0000e-04 eta: 8:25:44 time: 0.4317 data_time: 0.0173 memory: 17087 grad_norm: 7.2253 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7768 loss: 0.7768 2022/08/05 11:45:03 - mmengine - INFO - Epoch(train) [219][1340/1879] lr: 1.0000e-04 eta: 8:25:35 time: 0.4391 data_time: 0.0175 memory: 17087 grad_norm: 7.2315 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6706 loss: 0.6706 2022/08/05 11:45:11 - mmengine - INFO - Epoch(train) [219][1360/1879] lr: 1.0000e-04 eta: 8:25:27 time: 0.4301 data_time: 0.0161 memory: 17087 grad_norm: 7.0907 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9635 loss: 0.9635 2022/08/05 11:45:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 11:45:20 - mmengine - INFO - Epoch(train) [219][1380/1879] lr: 1.0000e-04 eta: 8:25:18 time: 0.4517 data_time: 0.0162 memory: 17087 grad_norm: 6.9877 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7915 loss: 0.7915 2022/08/05 11:45:29 - mmengine - INFO - Epoch(train) [219][1400/1879] lr: 1.0000e-04 eta: 8:25:09 time: 0.4327 data_time: 0.0170 memory: 17087 grad_norm: 7.3684 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9994 loss: 0.9994 2022/08/05 11:45:38 - mmengine - INFO - Epoch(train) [219][1420/1879] lr: 1.0000e-04 eta: 8:25:01 time: 0.4556 data_time: 0.0150 memory: 17087 grad_norm: 7.3603 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8776 loss: 0.8776 2022/08/05 11:45:47 - mmengine - INFO - Epoch(train) [219][1440/1879] lr: 1.0000e-04 eta: 8:24:52 time: 0.4391 data_time: 0.0249 memory: 17087 grad_norm: 7.0419 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8962 loss: 0.8962 2022/08/05 11:45:56 - mmengine - INFO - Epoch(train) [219][1460/1879] lr: 1.0000e-04 eta: 8:24:43 time: 0.4320 data_time: 0.0157 memory: 17087 grad_norm: 7.2357 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6762 loss: 0.6762 2022/08/05 11:46:04 - mmengine - INFO - Epoch(train) [219][1480/1879] lr: 1.0000e-04 eta: 8:24:35 time: 0.4306 data_time: 0.0168 memory: 17087 grad_norm: 7.0886 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7900 loss: 0.7900 2022/08/05 11:46:13 - mmengine - INFO - Epoch(train) [219][1500/1879] lr: 1.0000e-04 eta: 8:24:26 time: 0.4543 data_time: 0.0167 memory: 17087 grad_norm: 7.1324 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8500 loss: 0.8500 2022/08/05 11:46:22 - mmengine - INFO - Epoch(train) [219][1520/1879] lr: 1.0000e-04 eta: 8:24:18 time: 0.4305 data_time: 0.0158 memory: 17087 grad_norm: 6.9219 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7863 loss: 0.7863 2022/08/05 11:46:31 - mmengine - INFO - Epoch(train) [219][1540/1879] lr: 1.0000e-04 eta: 8:24:09 time: 0.4463 data_time: 0.0147 memory: 17087 grad_norm: 7.3284 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8480 loss: 0.8480 2022/08/05 11:46:40 - mmengine - INFO - Epoch(train) [219][1560/1879] lr: 1.0000e-04 eta: 8:24:00 time: 0.4318 data_time: 0.0168 memory: 17087 grad_norm: 6.9256 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7710 loss: 0.7710 2022/08/05 11:46:49 - mmengine - INFO - Epoch(train) [219][1580/1879] lr: 1.0000e-04 eta: 8:23:52 time: 0.4565 data_time: 0.0166 memory: 17087 grad_norm: 7.1195 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6737 loss: 0.6737 2022/08/05 11:46:57 - mmengine - INFO - Epoch(train) [219][1600/1879] lr: 1.0000e-04 eta: 8:23:43 time: 0.4316 data_time: 0.0163 memory: 17087 grad_norm: 6.9069 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7159 loss: 0.7159 2022/08/05 11:47:06 - mmengine - INFO - Epoch(train) [219][1620/1879] lr: 1.0000e-04 eta: 8:23:34 time: 0.4536 data_time: 0.0176 memory: 17087 grad_norm: 7.2359 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8947 loss: 0.8947 2022/08/05 11:47:15 - mmengine - INFO - Epoch(train) [219][1640/1879] lr: 1.0000e-04 eta: 8:23:26 time: 0.4300 data_time: 0.0161 memory: 17087 grad_norm: 7.1620 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7834 loss: 0.7834 2022/08/05 11:47:24 - mmengine - INFO - Epoch(train) [219][1660/1879] lr: 1.0000e-04 eta: 8:23:17 time: 0.4300 data_time: 0.0135 memory: 17087 grad_norm: 7.1038 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9371 loss: 0.9371 2022/08/05 11:47:32 - mmengine - INFO - Epoch(train) [219][1680/1879] lr: 1.0000e-04 eta: 8:23:08 time: 0.4374 data_time: 0.0161 memory: 17087 grad_norm: 6.8791 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7602 loss: 0.7602 2022/08/05 11:47:41 - mmengine - INFO - Epoch(train) [219][1700/1879] lr: 1.0000e-04 eta: 8:23:00 time: 0.4310 data_time: 0.0153 memory: 17087 grad_norm: 7.3063 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8210 loss: 0.8210 2022/08/05 11:47:50 - mmengine - INFO - Epoch(train) [219][1720/1879] lr: 1.0000e-04 eta: 8:22:51 time: 0.4391 data_time: 0.0197 memory: 17087 grad_norm: 7.2709 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9139 loss: 0.9139 2022/08/05 11:47:59 - mmengine - INFO - Epoch(train) [219][1740/1879] lr: 1.0000e-04 eta: 8:22:42 time: 0.4315 data_time: 0.0153 memory: 17087 grad_norm: 7.2452 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8592 loss: 0.8592 2022/08/05 11:48:07 - mmengine - INFO - Epoch(train) [219][1760/1879] lr: 1.0000e-04 eta: 8:22:34 time: 0.4357 data_time: 0.0179 memory: 17087 grad_norm: 7.0136 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9008 loss: 0.9008 2022/08/05 11:48:16 - mmengine - INFO - Epoch(train) [219][1780/1879] lr: 1.0000e-04 eta: 8:22:25 time: 0.4313 data_time: 0.0163 memory: 17087 grad_norm: 7.3276 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9815 loss: 0.9815 2022/08/05 11:48:25 - mmengine - INFO - Epoch(train) [219][1800/1879] lr: 1.0000e-04 eta: 8:22:16 time: 0.4311 data_time: 0.0160 memory: 17087 grad_norm: 7.0047 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9004 loss: 0.9004 2022/08/05 11:48:34 - mmengine - INFO - Epoch(train) [219][1820/1879] lr: 1.0000e-04 eta: 8:22:08 time: 0.4588 data_time: 0.0142 memory: 17087 grad_norm: 7.4235 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7388 loss: 0.7388 2022/08/05 11:48:42 - mmengine - INFO - Epoch(train) [219][1840/1879] lr: 1.0000e-04 eta: 8:21:59 time: 0.4334 data_time: 0.0165 memory: 17087 grad_norm: 7.1278 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7524 loss: 0.7524 2022/08/05 11:48:51 - mmengine - INFO - Epoch(train) [219][1860/1879] lr: 1.0000e-04 eta: 8:21:51 time: 0.4358 data_time: 0.0161 memory: 17087 grad_norm: 7.0710 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8221 loss: 0.8221 2022/08/05 11:48:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 11:48:59 - mmengine - INFO - Epoch(train) [219][1879/1879] lr: 1.0000e-04 eta: 8:21:51 time: 0.4114 data_time: 0.0147 memory: 17087 grad_norm: 7.3356 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7902 loss: 0.7902 2022/08/05 11:49:10 - mmengine - INFO - Epoch(train) [220][20/1879] lr: 1.0000e-04 eta: 8:21:33 time: 0.5516 data_time: 0.1009 memory: 17087 grad_norm: 6.9848 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8207 loss: 0.8207 2022/08/05 11:49:19 - mmengine - INFO - Epoch(train) [220][40/1879] lr: 1.0000e-04 eta: 8:21:24 time: 0.4349 data_time: 0.0195 memory: 17087 grad_norm: 6.6769 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8879 loss: 0.8879 2022/08/05 11:49:28 - mmengine - INFO - Epoch(train) [220][60/1879] lr: 1.0000e-04 eta: 8:21:15 time: 0.4502 data_time: 0.0153 memory: 17087 grad_norm: 7.0957 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8843 loss: 0.8843 2022/08/05 11:49:37 - mmengine - INFO - Epoch(train) [220][80/1879] lr: 1.0000e-04 eta: 8:21:07 time: 0.4371 data_time: 0.0165 memory: 17087 grad_norm: 7.0754 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8170 loss: 0.8170 2022/08/05 11:49:45 - mmengine - INFO - Epoch(train) [220][100/1879] lr: 1.0000e-04 eta: 8:20:58 time: 0.4312 data_time: 0.0165 memory: 17087 grad_norm: 6.8891 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8274 loss: 0.8274 2022/08/05 11:49:54 - mmengine - INFO - Epoch(train) [220][120/1879] lr: 1.0000e-04 eta: 8:20:50 time: 0.4399 data_time: 0.0153 memory: 17087 grad_norm: 7.0797 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7978 loss: 0.7978 2022/08/05 11:50:03 - mmengine - INFO - Epoch(train) [220][140/1879] lr: 1.0000e-04 eta: 8:20:41 time: 0.4365 data_time: 0.0197 memory: 17087 grad_norm: 7.2055 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9133 loss: 0.9133 2022/08/05 11:50:12 - mmengine - INFO - Epoch(train) [220][160/1879] lr: 1.0000e-04 eta: 8:20:32 time: 0.4397 data_time: 0.0183 memory: 17087 grad_norm: 6.7996 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7811 loss: 0.7811 2022/08/05 11:50:20 - mmengine - INFO - Epoch(train) [220][180/1879] lr: 1.0000e-04 eta: 8:20:24 time: 0.4354 data_time: 0.0158 memory: 17087 grad_norm: 6.9811 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9327 loss: 0.9327 2022/08/05 11:50:29 - mmengine - INFO - Epoch(train) [220][200/1879] lr: 1.0000e-04 eta: 8:20:15 time: 0.4490 data_time: 0.0164 memory: 17087 grad_norm: 7.4298 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8625 loss: 0.8625 2022/08/05 11:50:38 - mmengine - INFO - Epoch(train) [220][220/1879] lr: 1.0000e-04 eta: 8:20:06 time: 0.4360 data_time: 0.0172 memory: 17087 grad_norm: 6.7063 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6723 loss: 0.6723 2022/08/05 11:50:47 - mmengine - INFO - Epoch(train) [220][240/1879] lr: 1.0000e-04 eta: 8:19:58 time: 0.4316 data_time: 0.0169 memory: 17087 grad_norm: 7.0530 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9357 loss: 0.9357 2022/08/05 11:50:55 - mmengine - INFO - Epoch(train) [220][260/1879] lr: 1.0000e-04 eta: 8:19:49 time: 0.4311 data_time: 0.0161 memory: 17087 grad_norm: 7.3108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9220 loss: 0.9220 2022/08/05 11:51:04 - mmengine - INFO - Epoch(train) [220][280/1879] lr: 1.0000e-04 eta: 8:19:40 time: 0.4338 data_time: 0.0162 memory: 17087 grad_norm: 6.8141 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8118 loss: 0.8118 2022/08/05 11:51:13 - mmengine - INFO - Epoch(train) [220][300/1879] lr: 1.0000e-04 eta: 8:19:32 time: 0.4450 data_time: 0.0156 memory: 17087 grad_norm: 7.1817 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8857 loss: 0.8857 2022/08/05 11:51:22 - mmengine - INFO - Epoch(train) [220][320/1879] lr: 1.0000e-04 eta: 8:19:23 time: 0.4385 data_time: 0.0213 memory: 17087 grad_norm: 7.0391 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7229 loss: 0.7229 2022/08/05 11:51:31 - mmengine - INFO - Epoch(train) [220][340/1879] lr: 1.0000e-04 eta: 8:19:14 time: 0.4298 data_time: 0.0134 memory: 17087 grad_norm: 7.1263 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8396 loss: 0.8396 2022/08/05 11:51:40 - mmengine - INFO - Epoch(train) [220][360/1879] lr: 1.0000e-04 eta: 8:19:06 time: 0.4518 data_time: 0.0192 memory: 17087 grad_norm: 7.1478 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8158 loss: 0.8158 2022/08/05 11:51:48 - mmengine - INFO - Epoch(train) [220][380/1879] lr: 1.0000e-04 eta: 8:18:57 time: 0.4315 data_time: 0.0162 memory: 17087 grad_norm: 7.2645 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8207 loss: 0.8207 2022/08/05 11:51:57 - mmengine - INFO - Epoch(train) [220][400/1879] lr: 1.0000e-04 eta: 8:18:49 time: 0.4509 data_time: 0.0186 memory: 17087 grad_norm: 6.9122 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7434 loss: 0.7434 2022/08/05 11:52:06 - mmengine - INFO - Epoch(train) [220][420/1879] lr: 1.0000e-04 eta: 8:18:40 time: 0.4306 data_time: 0.0151 memory: 17087 grad_norm: 7.1167 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7402 loss: 0.7402 2022/08/05 11:52:15 - mmengine - INFO - Epoch(train) [220][440/1879] lr: 1.0000e-04 eta: 8:18:31 time: 0.4306 data_time: 0.0157 memory: 17087 grad_norm: 7.3976 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8253 loss: 0.8253 2022/08/05 11:52:23 - mmengine - INFO - Epoch(train) [220][460/1879] lr: 1.0000e-04 eta: 8:18:23 time: 0.4299 data_time: 0.0153 memory: 17087 grad_norm: 6.9287 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8075 loss: 0.8075 2022/08/05 11:52:32 - mmengine - INFO - Epoch(train) [220][480/1879] lr: 1.0000e-04 eta: 8:18:14 time: 0.4431 data_time: 0.0166 memory: 17087 grad_norm: 7.2217 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8699 loss: 0.8699 2022/08/05 11:52:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 11:52:41 - mmengine - INFO - Epoch(train) [220][500/1879] lr: 1.0000e-04 eta: 8:18:05 time: 0.4375 data_time: 0.0175 memory: 17087 grad_norm: 7.0080 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8490 loss: 0.8490 2022/08/05 11:52:50 - mmengine - INFO - Epoch(train) [220][520/1879] lr: 1.0000e-04 eta: 8:17:57 time: 0.4461 data_time: 0.0155 memory: 17087 grad_norm: 6.9447 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7538 loss: 0.7538 2022/08/05 11:52:58 - mmengine - INFO - Epoch(train) [220][540/1879] lr: 1.0000e-04 eta: 8:17:48 time: 0.4349 data_time: 0.0145 memory: 17087 grad_norm: 7.1633 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8326 loss: 0.8326 2022/08/05 11:53:07 - mmengine - INFO - Epoch(train) [220][560/1879] lr: 1.0000e-04 eta: 8:17:39 time: 0.4321 data_time: 0.0161 memory: 17087 grad_norm: 7.1828 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7879 loss: 0.7879 2022/08/05 11:53:16 - mmengine - INFO - Epoch(train) [220][580/1879] lr: 1.0000e-04 eta: 8:17:31 time: 0.4299 data_time: 0.0139 memory: 17087 grad_norm: 7.1820 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8584 loss: 0.8584 2022/08/05 11:53:25 - mmengine - INFO - Epoch(train) [220][600/1879] lr: 1.0000e-04 eta: 8:17:22 time: 0.4364 data_time: 0.0173 memory: 17087 grad_norm: 7.0546 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6703 loss: 0.6703 2022/08/05 11:53:33 - mmengine - INFO - Epoch(train) [220][620/1879] lr: 1.0000e-04 eta: 8:17:13 time: 0.4316 data_time: 0.0149 memory: 17087 grad_norm: 7.1281 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8653 loss: 0.8653 2022/08/05 11:53:42 - mmengine - INFO - Epoch(train) [220][640/1879] lr: 1.0000e-04 eta: 8:17:05 time: 0.4505 data_time: 0.0207 memory: 17087 grad_norm: 7.0139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7491 loss: 0.7491 2022/08/05 11:53:51 - mmengine - INFO - Epoch(train) [220][660/1879] lr: 1.0000e-04 eta: 8:16:56 time: 0.4323 data_time: 0.0158 memory: 17087 grad_norm: 6.9787 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8454 loss: 0.8454 2022/08/05 11:54:00 - mmengine - INFO - Epoch(train) [220][680/1879] lr: 1.0000e-04 eta: 8:16:48 time: 0.4590 data_time: 0.0170 memory: 17087 grad_norm: 7.0596 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8548 loss: 0.8548 2022/08/05 11:54:09 - mmengine - INFO - Epoch(train) [220][700/1879] lr: 1.0000e-04 eta: 8:16:39 time: 0.4300 data_time: 0.0142 memory: 17087 grad_norm: 6.7089 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7340 loss: 0.7340 2022/08/05 11:54:17 - mmengine - INFO - Epoch(train) [220][720/1879] lr: 1.0000e-04 eta: 8:16:30 time: 0.4337 data_time: 0.0171 memory: 17087 grad_norm: 6.8462 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6798 loss: 0.6798 2022/08/05 11:54:26 - mmengine - INFO - Epoch(train) [220][740/1879] lr: 1.0000e-04 eta: 8:16:22 time: 0.4307 data_time: 0.0148 memory: 17087 grad_norm: 6.8082 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8882 loss: 0.8882 2022/08/05 11:54:35 - mmengine - INFO - Epoch(train) [220][760/1879] lr: 1.0000e-04 eta: 8:16:13 time: 0.4326 data_time: 0.0174 memory: 17087 grad_norm: 7.1469 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7507 loss: 0.7507 2022/08/05 11:54:44 - mmengine - INFO - Epoch(train) [220][780/1879] lr: 1.0000e-04 eta: 8:16:04 time: 0.4529 data_time: 0.0155 memory: 17087 grad_norm: 7.2854 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8219 loss: 0.8219 2022/08/05 11:54:52 - mmengine - INFO - Epoch(train) [220][800/1879] lr: 1.0000e-04 eta: 8:15:56 time: 0.4303 data_time: 0.0165 memory: 17087 grad_norm: 6.9542 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8556 loss: 0.8556 2022/08/05 11:55:01 - mmengine - INFO - Epoch(train) [220][820/1879] lr: 1.0000e-04 eta: 8:15:47 time: 0.4330 data_time: 0.0163 memory: 17087 grad_norm: 6.8681 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8675 loss: 0.8675 2022/08/05 11:55:10 - mmengine - INFO - Epoch(train) [220][840/1879] lr: 1.0000e-04 eta: 8:15:38 time: 0.4352 data_time: 0.0194 memory: 17087 grad_norm: 7.0845 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8358 loss: 0.8358 2022/08/05 11:55:19 - mmengine - INFO - Epoch(train) [220][860/1879] lr: 1.0000e-04 eta: 8:15:30 time: 0.4534 data_time: 0.0150 memory: 17087 grad_norm: 7.1471 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8675 loss: 0.8675 2022/08/05 11:55:28 - mmengine - INFO - Epoch(train) [220][880/1879] lr: 1.0000e-04 eta: 8:15:21 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 7.0754 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6722 loss: 0.6722 2022/08/05 11:55:37 - mmengine - INFO - Epoch(train) [220][900/1879] lr: 1.0000e-04 eta: 8:15:12 time: 0.4430 data_time: 0.0197 memory: 17087 grad_norm: 6.9554 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7008 loss: 0.7008 2022/08/05 11:55:46 - mmengine - INFO - Epoch(train) [220][920/1879] lr: 1.0000e-04 eta: 8:15:04 time: 0.4583 data_time: 0.0165 memory: 17087 grad_norm: 7.1607 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8079 loss: 0.8079 2022/08/05 11:55:55 - mmengine - INFO - Epoch(train) [220][940/1879] lr: 1.0000e-04 eta: 8:14:55 time: 0.4551 data_time: 0.0150 memory: 17087 grad_norm: 7.0177 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6332 loss: 0.6332 2022/08/05 11:56:03 - mmengine - INFO - Epoch(train) [220][960/1879] lr: 1.0000e-04 eta: 8:14:47 time: 0.4312 data_time: 0.0160 memory: 17087 grad_norm: 7.3254 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8892 loss: 0.8892 2022/08/05 11:56:12 - mmengine - INFO - Epoch(train) [220][980/1879] lr: 1.0000e-04 eta: 8:14:38 time: 0.4336 data_time: 0.0157 memory: 17087 grad_norm: 7.3620 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7977 loss: 0.7977 2022/08/05 11:56:21 - mmengine - INFO - Epoch(train) [220][1000/1879] lr: 1.0000e-04 eta: 8:14:29 time: 0.4338 data_time: 0.0160 memory: 17087 grad_norm: 7.0635 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7207 loss: 0.7207 2022/08/05 11:56:30 - mmengine - INFO - Epoch(train) [220][1020/1879] lr: 1.0000e-04 eta: 8:14:21 time: 0.4410 data_time: 0.0181 memory: 17087 grad_norm: 6.8904 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7345 loss: 0.7345 2022/08/05 11:56:38 - mmengine - INFO - Epoch(train) [220][1040/1879] lr: 1.0000e-04 eta: 8:14:12 time: 0.4384 data_time: 0.0170 memory: 17087 grad_norm: 7.0297 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8353 loss: 0.8353 2022/08/05 11:56:47 - mmengine - INFO - Epoch(train) [220][1060/1879] lr: 1.0000e-04 eta: 8:14:03 time: 0.4340 data_time: 0.0145 memory: 17087 grad_norm: 7.2452 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7816 loss: 0.7816 2022/08/05 11:56:56 - mmengine - INFO - Epoch(train) [220][1080/1879] lr: 1.0000e-04 eta: 8:13:55 time: 0.4313 data_time: 0.0166 memory: 17087 grad_norm: 6.9691 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7589 loss: 0.7589 2022/08/05 11:57:04 - mmengine - INFO - Epoch(train) [220][1100/1879] lr: 1.0000e-04 eta: 8:13:46 time: 0.4304 data_time: 0.0139 memory: 17087 grad_norm: 7.1734 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8298 loss: 0.8298 2022/08/05 11:57:13 - mmengine - INFO - Epoch(train) [220][1120/1879] lr: 1.0000e-04 eta: 8:13:37 time: 0.4444 data_time: 0.0176 memory: 17087 grad_norm: 7.1431 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9951 loss: 0.9951 2022/08/05 11:57:22 - mmengine - INFO - Epoch(train) [220][1140/1879] lr: 1.0000e-04 eta: 8:13:29 time: 0.4309 data_time: 0.0149 memory: 17087 grad_norm: 7.0570 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7534 loss: 0.7534 2022/08/05 11:57:31 - mmengine - INFO - Epoch(train) [220][1160/1879] lr: 1.0000e-04 eta: 8:13:20 time: 0.4538 data_time: 0.0159 memory: 17087 grad_norm: 6.8927 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7676 loss: 0.7676 2022/08/05 11:57:40 - mmengine - INFO - Epoch(train) [220][1180/1879] lr: 1.0000e-04 eta: 8:13:11 time: 0.4292 data_time: 0.0148 memory: 17087 grad_norm: 7.5436 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0597 loss: 1.0597 2022/08/05 11:57:48 - mmengine - INFO - Epoch(train) [220][1200/1879] lr: 1.0000e-04 eta: 8:13:03 time: 0.4359 data_time: 0.0187 memory: 17087 grad_norm: 7.1454 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6512 loss: 0.6512 2022/08/05 11:57:57 - mmengine - INFO - Epoch(train) [220][1220/1879] lr: 1.0000e-04 eta: 8:12:54 time: 0.4296 data_time: 0.0133 memory: 17087 grad_norm: 7.2290 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9706 loss: 0.9706 2022/08/05 11:58:06 - mmengine - INFO - Epoch(train) [220][1240/1879] lr: 1.0000e-04 eta: 8:12:45 time: 0.4325 data_time: 0.0177 memory: 17087 grad_norm: 6.9296 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7580 loss: 0.7580 2022/08/05 11:58:15 - mmengine - INFO - Epoch(train) [220][1260/1879] lr: 1.0000e-04 eta: 8:12:37 time: 0.4411 data_time: 0.0160 memory: 17087 grad_norm: 7.0554 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8830 loss: 0.8830 2022/08/05 11:58:23 - mmengine - INFO - Epoch(train) [220][1280/1879] lr: 1.0000e-04 eta: 8:12:28 time: 0.4319 data_time: 0.0168 memory: 17087 grad_norm: 7.2204 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7683 loss: 0.7683 2022/08/05 11:58:32 - mmengine - INFO - Epoch(train) [220][1300/1879] lr: 1.0000e-04 eta: 8:12:20 time: 0.4329 data_time: 0.0170 memory: 17087 grad_norm: 6.9186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7953 loss: 0.7953 2022/08/05 11:58:41 - mmengine - INFO - Epoch(train) [220][1320/1879] lr: 1.0000e-04 eta: 8:12:11 time: 0.4306 data_time: 0.0159 memory: 17087 grad_norm: 7.0971 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7951 loss: 0.7951 2022/08/05 11:58:50 - mmengine - INFO - Epoch(train) [220][1340/1879] lr: 1.0000e-04 eta: 8:12:02 time: 0.4585 data_time: 0.0160 memory: 17087 grad_norm: 6.8635 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7683 loss: 0.7683 2022/08/05 11:58:59 - mmengine - INFO - Epoch(train) [220][1360/1879] lr: 1.0000e-04 eta: 8:11:54 time: 0.4367 data_time: 0.0171 memory: 17087 grad_norm: 7.1125 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8795 loss: 0.8795 2022/08/05 11:59:07 - mmengine - INFO - Epoch(train) [220][1380/1879] lr: 1.0000e-04 eta: 8:11:45 time: 0.4335 data_time: 0.0170 memory: 17087 grad_norm: 7.0906 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7898 loss: 0.7898 2022/08/05 11:59:16 - mmengine - INFO - Epoch(train) [220][1400/1879] lr: 1.0000e-04 eta: 8:11:36 time: 0.4297 data_time: 0.0163 memory: 17087 grad_norm: 7.0204 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8575 loss: 0.8575 2022/08/05 11:59:24 - mmengine - INFO - Epoch(train) [220][1420/1879] lr: 1.0000e-04 eta: 8:11:28 time: 0.4312 data_time: 0.0148 memory: 17087 grad_norm: 7.2225 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9346 loss: 0.9346 2022/08/05 11:59:34 - mmengine - INFO - Epoch(train) [220][1440/1879] lr: 1.0000e-04 eta: 8:11:19 time: 0.4671 data_time: 0.0177 memory: 17087 grad_norm: 6.9300 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7710 loss: 0.7710 2022/08/05 11:59:42 - mmengine - INFO - Epoch(train) [220][1460/1879] lr: 1.0000e-04 eta: 8:11:10 time: 0.4317 data_time: 0.0173 memory: 17087 grad_norm: 7.0033 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7810 loss: 0.7810 2022/08/05 11:59:51 - mmengine - INFO - Epoch(train) [220][1480/1879] lr: 1.0000e-04 eta: 8:11:02 time: 0.4456 data_time: 0.0164 memory: 17087 grad_norm: 7.2862 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8101 loss: 0.8101 2022/08/05 12:00:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:00:00 - mmengine - INFO - Epoch(train) [220][1500/1879] lr: 1.0000e-04 eta: 8:10:53 time: 0.4328 data_time: 0.0174 memory: 17087 grad_norm: 6.9744 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7107 loss: 0.7107 2022/08/05 12:00:11 - mmengine - INFO - Epoch(train) [220][1520/1879] lr: 1.0000e-04 eta: 8:10:45 time: 0.5394 data_time: 0.0204 memory: 17087 grad_norm: 7.1073 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8337 loss: 0.8337 2022/08/05 12:00:20 - mmengine - INFO - Epoch(train) [220][1540/1879] lr: 1.0000e-04 eta: 8:10:36 time: 0.4509 data_time: 0.0197 memory: 17087 grad_norm: 6.9940 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7260 loss: 0.7260 2022/08/05 12:00:29 - mmengine - INFO - Epoch(train) [220][1560/1879] lr: 1.0000e-04 eta: 8:10:28 time: 0.4320 data_time: 0.0145 memory: 17087 grad_norm: 7.0159 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7127 loss: 0.7127 2022/08/05 12:00:37 - mmengine - INFO - Epoch(train) [220][1580/1879] lr: 1.0000e-04 eta: 8:10:19 time: 0.4360 data_time: 0.0187 memory: 17087 grad_norm: 7.3501 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8822 loss: 0.8822 2022/08/05 12:00:46 - mmengine - INFO - Epoch(train) [220][1600/1879] lr: 1.0000e-04 eta: 8:10:10 time: 0.4288 data_time: 0.0136 memory: 17087 grad_norm: 7.1865 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7699 loss: 0.7699 2022/08/05 12:00:55 - mmengine - INFO - Epoch(train) [220][1620/1879] lr: 1.0000e-04 eta: 8:10:02 time: 0.4488 data_time: 0.0176 memory: 17087 grad_norm: 7.0525 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8950 loss: 0.8950 2022/08/05 12:01:04 - mmengine - INFO - Epoch(train) [220][1640/1879] lr: 1.0000e-04 eta: 8:09:53 time: 0.4300 data_time: 0.0143 memory: 17087 grad_norm: 7.1996 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9072 loss: 0.9072 2022/08/05 12:01:13 - mmengine - INFO - Epoch(train) [220][1660/1879] lr: 1.0000e-04 eta: 8:09:44 time: 0.4495 data_time: 0.0155 memory: 17087 grad_norm: 7.0516 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6964 loss: 0.6964 2022/08/05 12:01:21 - mmengine - INFO - Epoch(train) [220][1680/1879] lr: 1.0000e-04 eta: 8:09:36 time: 0.4305 data_time: 0.0154 memory: 17087 grad_norm: 7.2848 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7361 loss: 0.7361 2022/08/05 12:01:30 - mmengine - INFO - Epoch(train) [220][1700/1879] lr: 1.0000e-04 eta: 8:09:27 time: 0.4490 data_time: 0.0167 memory: 17087 grad_norm: 7.0468 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7609 loss: 0.7609 2022/08/05 12:01:39 - mmengine - INFO - Epoch(train) [220][1720/1879] lr: 1.0000e-04 eta: 8:09:18 time: 0.4302 data_time: 0.0149 memory: 17087 grad_norm: 7.2288 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9021 loss: 0.9021 2022/08/05 12:01:48 - mmengine - INFO - Epoch(train) [220][1740/1879] lr: 1.0000e-04 eta: 8:09:10 time: 0.4333 data_time: 0.0166 memory: 17087 grad_norm: 7.2008 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9604 loss: 0.9604 2022/08/05 12:01:56 - mmengine - INFO - Epoch(train) [220][1760/1879] lr: 1.0000e-04 eta: 8:09:01 time: 0.4291 data_time: 0.0151 memory: 17087 grad_norm: 7.1762 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7397 loss: 0.7397 2022/08/05 12:02:05 - mmengine - INFO - Epoch(train) [220][1780/1879] lr: 1.0000e-04 eta: 8:08:52 time: 0.4312 data_time: 0.0162 memory: 17087 grad_norm: 7.0659 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7675 loss: 0.7675 2022/08/05 12:02:14 - mmengine - INFO - Epoch(train) [220][1800/1879] lr: 1.0000e-04 eta: 8:08:44 time: 0.4566 data_time: 0.0160 memory: 17087 grad_norm: 6.9310 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9029 loss: 0.9029 2022/08/05 12:02:23 - mmengine - INFO - Epoch(train) [220][1820/1879] lr: 1.0000e-04 eta: 8:08:35 time: 0.4332 data_time: 0.0191 memory: 17087 grad_norm: 7.0878 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8398 loss: 0.8398 2022/08/05 12:02:32 - mmengine - INFO - Epoch(train) [220][1840/1879] lr: 1.0000e-04 eta: 8:08:27 time: 0.4585 data_time: 0.0147 memory: 17087 grad_norm: 7.2101 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9122 loss: 0.9122 2022/08/05 12:02:41 - mmengine - INFO - Epoch(train) [220][1860/1879] lr: 1.0000e-04 eta: 8:08:18 time: 0.4375 data_time: 0.0223 memory: 17087 grad_norm: 7.0997 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9193 loss: 0.9193 2022/08/05 12:02:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:02:49 - mmengine - INFO - Epoch(train) [220][1879/1879] lr: 1.0000e-04 eta: 8:08:18 time: 0.4150 data_time: 0.0144 memory: 17087 grad_norm: 7.3094 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8848 loss: 0.8848 2022/08/05 12:02:49 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/08/05 12:03:01 - mmengine - INFO - Epoch(val) [220][20/155] eta: 0:00:50 time: 0.3729 data_time: 0.2029 memory: 2821 2022/08/05 12:03:06 - mmengine - INFO - Epoch(val) [220][40/155] eta: 0:00:30 time: 0.2650 data_time: 0.0986 memory: 2821 2022/08/05 12:03:12 - mmengine - INFO - Epoch(val) [220][60/155] eta: 0:00:28 time: 0.3005 data_time: 0.1290 memory: 2821 2022/08/05 12:03:17 - mmengine - INFO - Epoch(val) [220][80/155] eta: 0:00:20 time: 0.2692 data_time: 0.1025 memory: 2821 2022/08/05 12:03:24 - mmengine - INFO - Epoch(val) [220][100/155] eta: 0:00:16 time: 0.3073 data_time: 0.1402 memory: 2821 2022/08/05 12:03:29 - mmengine - INFO - Epoch(val) [220][120/155] eta: 0:00:09 time: 0.2813 data_time: 0.1098 memory: 2821 2022/08/05 12:03:35 - mmengine - INFO - Epoch(val) [220][140/155] eta: 0:00:04 time: 0.2803 data_time: 0.1214 memory: 2821 2022/08/05 12:03:40 - mmengine - INFO - Epoch(val) [220][155/155] acc/top1: 0.6961 acc/top5: 0.8812 acc/mean1: 0.6960 2022/08/05 12:03:51 - mmengine - INFO - Epoch(train) [221][20/1879] lr: 1.0000e-04 eta: 8:08:00 time: 0.5735 data_time: 0.1002 memory: 17087 grad_norm: 7.2010 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8122 loss: 0.8122 2022/08/05 12:04:00 - mmengine - INFO - Epoch(train) [221][40/1879] lr: 1.0000e-04 eta: 8:07:52 time: 0.4471 data_time: 0.0234 memory: 17087 grad_norm: 7.0165 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8400 loss: 0.8400 2022/08/05 12:04:09 - mmengine - INFO - Epoch(train) [221][60/1879] lr: 1.0000e-04 eta: 8:07:43 time: 0.4303 data_time: 0.0147 memory: 17087 grad_norm: 6.7557 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6346 loss: 0.6346 2022/08/05 12:04:18 - mmengine - INFO - Epoch(train) [221][80/1879] lr: 1.0000e-04 eta: 8:07:34 time: 0.4590 data_time: 0.0173 memory: 17087 grad_norm: 7.1351 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8903 loss: 0.8903 2022/08/05 12:04:27 - mmengine - INFO - Epoch(train) [221][100/1879] lr: 1.0000e-04 eta: 8:07:26 time: 0.4329 data_time: 0.0138 memory: 17087 grad_norm: 7.3862 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8506 loss: 0.8506 2022/08/05 12:04:35 - mmengine - INFO - Epoch(train) [221][120/1879] lr: 1.0000e-04 eta: 8:07:17 time: 0.4318 data_time: 0.0177 memory: 17087 grad_norm: 6.9156 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8297 loss: 0.8297 2022/08/05 12:04:44 - mmengine - INFO - Epoch(train) [221][140/1879] lr: 1.0000e-04 eta: 8:07:08 time: 0.4559 data_time: 0.0154 memory: 17087 grad_norm: 7.0321 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8068 loss: 0.8068 2022/08/05 12:04:53 - mmengine - INFO - Epoch(train) [221][160/1879] lr: 1.0000e-04 eta: 8:07:00 time: 0.4319 data_time: 0.0178 memory: 17087 grad_norm: 7.2491 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9127 loss: 0.9127 2022/08/05 12:05:02 - mmengine - INFO - Epoch(train) [221][180/1879] lr: 1.0000e-04 eta: 8:06:51 time: 0.4628 data_time: 0.0187 memory: 17087 grad_norm: 7.1098 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7740 loss: 0.7740 2022/08/05 12:05:11 - mmengine - INFO - Epoch(train) [221][200/1879] lr: 1.0000e-04 eta: 8:06:43 time: 0.4322 data_time: 0.0167 memory: 17087 grad_norm: 7.0211 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6087 loss: 0.6087 2022/08/05 12:05:20 - mmengine - INFO - Epoch(train) [221][220/1879] lr: 1.0000e-04 eta: 8:06:34 time: 0.4546 data_time: 0.0208 memory: 17087 grad_norm: 7.1344 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8306 loss: 0.8306 2022/08/05 12:05:29 - mmengine - INFO - Epoch(train) [221][240/1879] lr: 1.0000e-04 eta: 8:06:25 time: 0.4316 data_time: 0.0165 memory: 17087 grad_norm: 7.0953 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8461 loss: 0.8461 2022/08/05 12:05:37 - mmengine - INFO - Epoch(train) [221][260/1879] lr: 1.0000e-04 eta: 8:06:17 time: 0.4338 data_time: 0.0158 memory: 17087 grad_norm: 6.8595 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5138 loss: 0.5138 2022/08/05 12:05:46 - mmengine - INFO - Epoch(train) [221][280/1879] lr: 1.0000e-04 eta: 8:06:08 time: 0.4320 data_time: 0.0172 memory: 17087 grad_norm: 6.9577 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8301 loss: 0.8301 2022/08/05 12:05:55 - mmengine - INFO - Epoch(train) [221][300/1879] lr: 1.0000e-04 eta: 8:05:59 time: 0.4294 data_time: 0.0151 memory: 17087 grad_norm: 6.9867 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8050 loss: 0.8050 2022/08/05 12:06:04 - mmengine - INFO - Epoch(train) [221][320/1879] lr: 1.0000e-04 eta: 8:05:51 time: 0.4601 data_time: 0.0170 memory: 17087 grad_norm: 7.0083 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7109 loss: 0.7109 2022/08/05 12:06:13 - mmengine - INFO - Epoch(train) [221][340/1879] lr: 1.0000e-04 eta: 8:05:42 time: 0.4321 data_time: 0.0152 memory: 17087 grad_norm: 7.1134 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6300 loss: 0.6300 2022/08/05 12:06:21 - mmengine - INFO - Epoch(train) [221][360/1879] lr: 1.0000e-04 eta: 8:05:33 time: 0.4378 data_time: 0.0237 memory: 17087 grad_norm: 7.0228 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7552 loss: 0.7552 2022/08/05 12:06:30 - mmengine - INFO - Epoch(train) [221][380/1879] lr: 1.0000e-04 eta: 8:05:25 time: 0.4292 data_time: 0.0155 memory: 17087 grad_norm: 6.8489 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8128 loss: 0.8128 2022/08/05 12:06:39 - mmengine - INFO - Epoch(train) [221][400/1879] lr: 1.0000e-04 eta: 8:05:16 time: 0.4640 data_time: 0.0176 memory: 17087 grad_norm: 6.9456 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7778 loss: 0.7778 2022/08/05 12:06:48 - mmengine - INFO - Epoch(train) [221][420/1879] lr: 1.0000e-04 eta: 8:05:07 time: 0.4284 data_time: 0.0148 memory: 17087 grad_norm: 7.1303 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7110 loss: 0.7110 2022/08/05 12:06:57 - mmengine - INFO - Epoch(train) [221][440/1879] lr: 1.0000e-04 eta: 8:04:59 time: 0.4378 data_time: 0.0243 memory: 17087 grad_norm: 7.0848 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8004 loss: 0.8004 2022/08/05 12:07:05 - mmengine - INFO - Epoch(train) [221][460/1879] lr: 1.0000e-04 eta: 8:04:50 time: 0.4355 data_time: 0.0156 memory: 17087 grad_norm: 7.2615 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7667 loss: 0.7667 2022/08/05 12:07:14 - mmengine - INFO - Epoch(train) [221][480/1879] lr: 1.0000e-04 eta: 8:04:42 time: 0.4317 data_time: 0.0176 memory: 17087 grad_norm: 6.8514 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7850 loss: 0.7850 2022/08/05 12:07:23 - mmengine - INFO - Epoch(train) [221][500/1879] lr: 1.0000e-04 eta: 8:04:33 time: 0.4324 data_time: 0.0174 memory: 17087 grad_norm: 6.8224 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7610 loss: 0.7610 2022/08/05 12:07:31 - mmengine - INFO - Epoch(train) [221][520/1879] lr: 1.0000e-04 eta: 8:04:24 time: 0.4329 data_time: 0.0191 memory: 17087 grad_norm: 6.8649 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8008 loss: 0.8008 2022/08/05 12:07:40 - mmengine - INFO - Epoch(train) [221][540/1879] lr: 1.0000e-04 eta: 8:04:16 time: 0.4511 data_time: 0.0146 memory: 17087 grad_norm: 7.0605 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7777 loss: 0.7777 2022/08/05 12:07:49 - mmengine - INFO - Epoch(train) [221][560/1879] lr: 1.0000e-04 eta: 8:04:07 time: 0.4357 data_time: 0.0170 memory: 17087 grad_norm: 7.1099 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8721 loss: 0.8721 2022/08/05 12:07:58 - mmengine - INFO - Epoch(train) [221][580/1879] lr: 1.0000e-04 eta: 8:03:58 time: 0.4315 data_time: 0.0152 memory: 17087 grad_norm: 7.2454 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9160 loss: 0.9160 2022/08/05 12:08:07 - mmengine - INFO - Epoch(train) [221][600/1879] lr: 1.0000e-04 eta: 8:03:50 time: 0.4339 data_time: 0.0170 memory: 17087 grad_norm: 7.1491 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8522 loss: 0.8522 2022/08/05 12:08:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:08:16 - mmengine - INFO - Epoch(train) [221][620/1879] lr: 1.0000e-04 eta: 8:03:41 time: 0.4572 data_time: 0.0176 memory: 17087 grad_norm: 7.0889 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7756 loss: 0.7756 2022/08/05 12:08:24 - mmengine - INFO - Epoch(train) [221][640/1879] lr: 1.0000e-04 eta: 8:03:32 time: 0.4313 data_time: 0.0162 memory: 17087 grad_norm: 7.2324 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7916 loss: 0.7916 2022/08/05 12:08:33 - mmengine - INFO - Epoch(train) [221][660/1879] lr: 1.0000e-04 eta: 8:03:24 time: 0.4431 data_time: 0.0169 memory: 17087 grad_norm: 6.8930 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6608 loss: 0.6608 2022/08/05 12:08:42 - mmengine - INFO - Epoch(train) [221][680/1879] lr: 1.0000e-04 eta: 8:03:15 time: 0.4325 data_time: 0.0172 memory: 17087 grad_norm: 6.8728 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7764 loss: 0.7764 2022/08/05 12:08:51 - mmengine - INFO - Epoch(train) [221][700/1879] lr: 1.0000e-04 eta: 8:03:07 time: 0.4693 data_time: 0.0179 memory: 17087 grad_norm: 7.2787 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6671 loss: 0.6671 2022/08/05 12:09:00 - mmengine - INFO - Epoch(train) [221][720/1879] lr: 1.0000e-04 eta: 8:02:58 time: 0.4358 data_time: 0.0200 memory: 17087 grad_norm: 6.9890 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6462 loss: 0.6462 2022/08/05 12:09:09 - mmengine - INFO - Epoch(train) [221][740/1879] lr: 1.0000e-04 eta: 8:02:49 time: 0.4542 data_time: 0.0174 memory: 17087 grad_norm: 7.0932 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8214 loss: 0.8214 2022/08/05 12:09:18 - mmengine - INFO - Epoch(train) [221][760/1879] lr: 1.0000e-04 eta: 8:02:41 time: 0.4308 data_time: 0.0159 memory: 17087 grad_norm: 7.1209 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9090 loss: 0.9090 2022/08/05 12:09:27 - mmengine - INFO - Epoch(train) [221][780/1879] lr: 1.0000e-04 eta: 8:02:32 time: 0.4359 data_time: 0.0198 memory: 17087 grad_norm: 7.2486 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9117 loss: 0.9117 2022/08/05 12:09:36 - mmengine - INFO - Epoch(train) [221][800/1879] lr: 1.0000e-04 eta: 8:02:23 time: 0.4584 data_time: 0.0172 memory: 17087 grad_norm: 6.9312 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7119 loss: 0.7119 2022/08/05 12:09:45 - mmengine - INFO - Epoch(train) [221][820/1879] lr: 1.0000e-04 eta: 8:02:15 time: 0.4313 data_time: 0.0154 memory: 17087 grad_norm: 7.0204 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9077 loss: 0.9077 2022/08/05 12:09:53 - mmengine - INFO - Epoch(train) [221][840/1879] lr: 1.0000e-04 eta: 8:02:06 time: 0.4397 data_time: 0.0210 memory: 17087 grad_norm: 7.2558 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8610 loss: 0.8610 2022/08/05 12:10:02 - mmengine - INFO - Epoch(train) [221][860/1879] lr: 1.0000e-04 eta: 8:01:57 time: 0.4322 data_time: 0.0156 memory: 17087 grad_norm: 7.1035 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9632 loss: 0.9632 2022/08/05 12:10:11 - mmengine - INFO - Epoch(train) [221][880/1879] lr: 1.0000e-04 eta: 8:01:49 time: 0.4398 data_time: 0.0195 memory: 17087 grad_norm: 6.9235 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7369 loss: 0.7369 2022/08/05 12:10:19 - mmengine - INFO - Epoch(train) [221][900/1879] lr: 1.0000e-04 eta: 8:01:40 time: 0.4332 data_time: 0.0157 memory: 17087 grad_norm: 7.0377 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8925 loss: 0.8925 2022/08/05 12:10:28 - mmengine - INFO - Epoch(train) [221][920/1879] lr: 1.0000e-04 eta: 8:01:31 time: 0.4318 data_time: 0.0174 memory: 17087 grad_norm: 6.9217 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8484 loss: 0.8484 2022/08/05 12:10:37 - mmengine - INFO - Epoch(train) [221][940/1879] lr: 1.0000e-04 eta: 8:01:23 time: 0.4304 data_time: 0.0159 memory: 17087 grad_norm: 7.0236 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7670 loss: 0.7670 2022/08/05 12:10:45 - mmengine - INFO - Epoch(train) [221][960/1879] lr: 1.0000e-04 eta: 8:01:14 time: 0.4344 data_time: 0.0157 memory: 17087 grad_norm: 7.1131 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9618 loss: 0.9618 2022/08/05 12:10:54 - mmengine - INFO - Epoch(train) [221][980/1879] lr: 1.0000e-04 eta: 8:01:06 time: 0.4501 data_time: 0.0156 memory: 17087 grad_norm: 6.9423 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8378 loss: 0.8378 2022/08/05 12:11:03 - mmengine - INFO - Epoch(train) [221][1000/1879] lr: 1.0000e-04 eta: 8:00:57 time: 0.4322 data_time: 0.0169 memory: 17087 grad_norm: 7.0341 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8537 loss: 0.8537 2022/08/05 12:11:12 - mmengine - INFO - Epoch(train) [221][1020/1879] lr: 1.0000e-04 eta: 8:00:48 time: 0.4480 data_time: 0.0213 memory: 17087 grad_norm: 6.6573 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6782 loss: 0.6782 2022/08/05 12:11:21 - mmengine - INFO - Epoch(train) [221][1040/1879] lr: 1.0000e-04 eta: 8:00:40 time: 0.4315 data_time: 0.0159 memory: 17087 grad_norm: 7.1234 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8219 loss: 0.8219 2022/08/05 12:11:30 - mmengine - INFO - Epoch(train) [221][1060/1879] lr: 1.0000e-04 eta: 8:00:31 time: 0.4459 data_time: 0.0206 memory: 17087 grad_norm: 7.0293 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8645 loss: 0.8645 2022/08/05 12:11:38 - mmengine - INFO - Epoch(train) [221][1080/1879] lr: 1.0000e-04 eta: 8:00:22 time: 0.4321 data_time: 0.0169 memory: 17087 grad_norm: 7.1974 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8224 loss: 0.8224 2022/08/05 12:11:47 - mmengine - INFO - Epoch(train) [221][1100/1879] lr: 1.0000e-04 eta: 8:00:14 time: 0.4321 data_time: 0.0166 memory: 17087 grad_norm: 6.8612 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6534 loss: 0.6534 2022/08/05 12:11:56 - mmengine - INFO - Epoch(train) [221][1120/1879] lr: 1.0000e-04 eta: 8:00:05 time: 0.4722 data_time: 0.0195 memory: 17087 grad_norm: 7.2949 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9007 loss: 0.9007 2022/08/05 12:12:05 - mmengine - INFO - Epoch(train) [221][1140/1879] lr: 1.0000e-04 eta: 7:59:56 time: 0.4332 data_time: 0.0175 memory: 17087 grad_norm: 7.2650 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8311 loss: 0.8311 2022/08/05 12:12:14 - mmengine - INFO - Epoch(train) [221][1160/1879] lr: 1.0000e-04 eta: 7:59:48 time: 0.4354 data_time: 0.0166 memory: 17087 grad_norm: 7.0728 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8669 loss: 0.8669 2022/08/05 12:12:23 - mmengine - INFO - Epoch(train) [221][1180/1879] lr: 1.0000e-04 eta: 7:59:39 time: 0.4305 data_time: 0.0146 memory: 17087 grad_norm: 7.3116 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9472 loss: 0.9472 2022/08/05 12:12:32 - mmengine - INFO - Epoch(train) [221][1200/1879] lr: 1.0000e-04 eta: 7:59:31 time: 0.4581 data_time: 0.0165 memory: 17087 grad_norm: 6.8784 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6800 loss: 0.6800 2022/08/05 12:12:40 - mmengine - INFO - Epoch(train) [221][1220/1879] lr: 1.0000e-04 eta: 7:59:22 time: 0.4322 data_time: 0.0163 memory: 17087 grad_norm: 7.0077 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8394 loss: 0.8394 2022/08/05 12:12:49 - mmengine - INFO - Epoch(train) [221][1240/1879] lr: 1.0000e-04 eta: 7:59:13 time: 0.4541 data_time: 0.0201 memory: 17087 grad_norm: 7.0307 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8284 loss: 0.8284 2022/08/05 12:12:58 - mmengine - INFO - Epoch(train) [221][1260/1879] lr: 1.0000e-04 eta: 7:59:05 time: 0.4312 data_time: 0.0147 memory: 17087 grad_norm: 6.9944 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8561 loss: 0.8561 2022/08/05 12:13:07 - mmengine - INFO - Epoch(train) [221][1280/1879] lr: 1.0000e-04 eta: 7:58:56 time: 0.4359 data_time: 0.0199 memory: 17087 grad_norm: 7.1524 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8254 loss: 0.8254 2022/08/05 12:13:16 - mmengine - INFO - Epoch(train) [221][1300/1879] lr: 1.0000e-04 eta: 7:58:47 time: 0.4689 data_time: 0.0169 memory: 17087 grad_norm: 7.1922 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6674 loss: 0.6674 2022/08/05 12:13:25 - mmengine - INFO - Epoch(train) [221][1320/1879] lr: 1.0000e-04 eta: 7:58:39 time: 0.4365 data_time: 0.0186 memory: 17087 grad_norm: 7.1090 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8401 loss: 0.8401 2022/08/05 12:13:34 - mmengine - INFO - Epoch(train) [221][1340/1879] lr: 1.0000e-04 eta: 7:58:30 time: 0.4328 data_time: 0.0177 memory: 17087 grad_norm: 7.3195 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9104 loss: 0.9104 2022/08/05 12:13:43 - mmengine - INFO - Epoch(train) [221][1360/1879] lr: 1.0000e-04 eta: 7:58:22 time: 0.4395 data_time: 0.0235 memory: 17087 grad_norm: 7.0271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7273 loss: 0.7273 2022/08/05 12:13:51 - mmengine - INFO - Epoch(train) [221][1380/1879] lr: 1.0000e-04 eta: 7:58:13 time: 0.4308 data_time: 0.0162 memory: 17087 grad_norm: 6.9943 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8500 loss: 0.8500 2022/08/05 12:14:00 - mmengine - INFO - Epoch(train) [221][1400/1879] lr: 1.0000e-04 eta: 7:58:04 time: 0.4504 data_time: 0.0183 memory: 17087 grad_norm: 6.8917 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8437 loss: 0.8437 2022/08/05 12:14:09 - mmengine - INFO - Epoch(train) [221][1420/1879] lr: 1.0000e-04 eta: 7:57:56 time: 0.4335 data_time: 0.0171 memory: 17087 grad_norm: 7.1682 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8311 loss: 0.8311 2022/08/05 12:14:18 - mmengine - INFO - Epoch(train) [221][1440/1879] lr: 1.0000e-04 eta: 7:57:47 time: 0.4311 data_time: 0.0158 memory: 17087 grad_norm: 7.0809 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8597 loss: 0.8597 2022/08/05 12:14:26 - mmengine - INFO - Epoch(train) [221][1460/1879] lr: 1.0000e-04 eta: 7:57:38 time: 0.4347 data_time: 0.0164 memory: 17087 grad_norm: 6.8495 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7493 loss: 0.7493 2022/08/05 12:14:35 - mmengine - INFO - Epoch(train) [221][1480/1879] lr: 1.0000e-04 eta: 7:57:30 time: 0.4324 data_time: 0.0165 memory: 17087 grad_norm: 7.0154 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6812 loss: 0.6812 2022/08/05 12:14:44 - mmengine - INFO - Epoch(train) [221][1500/1879] lr: 1.0000e-04 eta: 7:57:21 time: 0.4547 data_time: 0.0172 memory: 17087 grad_norm: 6.9118 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9113 loss: 0.9113 2022/08/05 12:14:53 - mmengine - INFO - Epoch(train) [221][1520/1879] lr: 1.0000e-04 eta: 7:57:12 time: 0.4360 data_time: 0.0216 memory: 17087 grad_norm: 7.4541 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9726 loss: 0.9726 2022/08/05 12:15:02 - mmengine - INFO - Epoch(train) [221][1540/1879] lr: 1.0000e-04 eta: 7:57:04 time: 0.4547 data_time: 0.0169 memory: 17087 grad_norm: 6.8699 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7691 loss: 0.7691 2022/08/05 12:15:11 - mmengine - INFO - Epoch(train) [221][1560/1879] lr: 1.0000e-04 eta: 7:56:55 time: 0.4346 data_time: 0.0203 memory: 17087 grad_norm: 7.0644 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7477 loss: 0.7477 2022/08/05 12:15:19 - mmengine - INFO - Epoch(train) [221][1580/1879] lr: 1.0000e-04 eta: 7:56:46 time: 0.4373 data_time: 0.0159 memory: 17087 grad_norm: 7.2410 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8985 loss: 0.8985 2022/08/05 12:15:28 - mmengine - INFO - Epoch(train) [221][1600/1879] lr: 1.0000e-04 eta: 7:56:38 time: 0.4317 data_time: 0.0158 memory: 17087 grad_norm: 7.0075 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7879 loss: 0.7879 2022/08/05 12:15:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:15:37 - mmengine - INFO - Epoch(train) [221][1620/1879] lr: 1.0000e-04 eta: 7:56:29 time: 0.4315 data_time: 0.0151 memory: 17087 grad_norm: 7.1599 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7466 loss: 0.7466 2022/08/05 12:15:46 - mmengine - INFO - Epoch(train) [221][1640/1879] lr: 1.0000e-04 eta: 7:56:20 time: 0.4387 data_time: 0.0175 memory: 17087 grad_norm: 7.0028 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7410 loss: 0.7410 2022/08/05 12:15:54 - mmengine - INFO - Epoch(train) [221][1660/1879] lr: 1.0000e-04 eta: 7:56:12 time: 0.4322 data_time: 0.0152 memory: 17087 grad_norm: 7.0290 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8644 loss: 0.8644 2022/08/05 12:16:03 - mmengine - INFO - Epoch(train) [221][1680/1879] lr: 1.0000e-04 eta: 7:56:03 time: 0.4577 data_time: 0.0168 memory: 17087 grad_norm: 7.1880 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8796 loss: 0.8796 2022/08/05 12:16:12 - mmengine - INFO - Epoch(train) [221][1700/1879] lr: 1.0000e-04 eta: 7:55:55 time: 0.4358 data_time: 0.0201 memory: 17087 grad_norm: 6.9631 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8761 loss: 0.8761 2022/08/05 12:16:21 - mmengine - INFO - Epoch(train) [221][1720/1879] lr: 1.0000e-04 eta: 7:55:46 time: 0.4600 data_time: 0.0170 memory: 17087 grad_norm: 7.0737 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7175 loss: 0.7175 2022/08/05 12:16:30 - mmengine - INFO - Epoch(train) [221][1740/1879] lr: 1.0000e-04 eta: 7:55:37 time: 0.4388 data_time: 0.0217 memory: 17087 grad_norm: 6.9058 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8352 loss: 0.8352 2022/08/05 12:16:39 - mmengine - INFO - Epoch(train) [221][1760/1879] lr: 1.0000e-04 eta: 7:55:29 time: 0.4427 data_time: 0.0157 memory: 17087 grad_norm: 7.3450 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9125 loss: 0.9125 2022/08/05 12:16:48 - mmengine - INFO - Epoch(train) [221][1780/1879] lr: 1.0000e-04 eta: 7:55:20 time: 0.4323 data_time: 0.0162 memory: 17087 grad_norm: 7.2045 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8591 loss: 0.8591 2022/08/05 12:16:56 - mmengine - INFO - Epoch(train) [221][1800/1879] lr: 1.0000e-04 eta: 7:55:11 time: 0.4361 data_time: 0.0219 memory: 17087 grad_norm: 7.1722 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7521 loss: 0.7521 2022/08/05 12:17:05 - mmengine - INFO - Epoch(train) [221][1820/1879] lr: 1.0000e-04 eta: 7:55:03 time: 0.4335 data_time: 0.0156 memory: 17087 grad_norm: 6.7928 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7690 loss: 0.7690 2022/08/05 12:17:14 - mmengine - INFO - Epoch(train) [221][1840/1879] lr: 1.0000e-04 eta: 7:54:54 time: 0.4324 data_time: 0.0179 memory: 17087 grad_norm: 7.0515 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8701 loss: 0.8701 2022/08/05 12:17:22 - mmengine - INFO - Epoch(train) [221][1860/1879] lr: 1.0000e-04 eta: 7:54:45 time: 0.4317 data_time: 0.0154 memory: 17087 grad_norm: 6.9277 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8481 loss: 0.8481 2022/08/05 12:17:30 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:17:30 - mmengine - INFO - Epoch(train) [221][1879/1879] lr: 1.0000e-04 eta: 7:54:45 time: 0.4212 data_time: 0.0195 memory: 17087 grad_norm: 7.4475 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.8102 loss: 0.8102 2022/08/05 12:17:42 - mmengine - INFO - Epoch(train) [222][20/1879] lr: 1.0000e-04 eta: 7:54:28 time: 0.5721 data_time: 0.1308 memory: 17087 grad_norm: 6.9932 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8037 loss: 0.8037 2022/08/05 12:17:51 - mmengine - INFO - Epoch(train) [222][40/1879] lr: 1.0000e-04 eta: 7:54:19 time: 0.4397 data_time: 0.0232 memory: 17087 grad_norm: 7.2058 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8244 loss: 0.8244 2022/08/05 12:17:59 - mmengine - INFO - Epoch(train) [222][60/1879] lr: 1.0000e-04 eta: 7:54:10 time: 0.4320 data_time: 0.0155 memory: 17087 grad_norm: 7.1713 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8785 loss: 0.8785 2022/08/05 12:18:08 - mmengine - INFO - Epoch(train) [222][80/1879] lr: 1.0000e-04 eta: 7:54:02 time: 0.4308 data_time: 0.0178 memory: 17087 grad_norm: 7.0736 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8085 loss: 0.8085 2022/08/05 12:18:17 - mmengine - INFO - Epoch(train) [222][100/1879] lr: 1.0000e-04 eta: 7:53:53 time: 0.4555 data_time: 0.0163 memory: 17087 grad_norm: 6.9258 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6594 loss: 0.6594 2022/08/05 12:18:26 - mmengine - INFO - Epoch(train) [222][120/1879] lr: 1.0000e-04 eta: 7:53:44 time: 0.4325 data_time: 0.0157 memory: 17087 grad_norm: 7.0786 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9810 loss: 0.9810 2022/08/05 12:18:35 - mmengine - INFO - Epoch(train) [222][140/1879] lr: 1.0000e-04 eta: 7:53:36 time: 0.4559 data_time: 0.0151 memory: 17087 grad_norm: 7.0451 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8562 loss: 0.8562 2022/08/05 12:18:44 - mmengine - INFO - Epoch(train) [222][160/1879] lr: 1.0000e-04 eta: 7:53:27 time: 0.4373 data_time: 0.0167 memory: 17087 grad_norm: 6.9959 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8182 loss: 0.8182 2022/08/05 12:18:53 - mmengine - INFO - Epoch(train) [222][180/1879] lr: 1.0000e-04 eta: 7:53:19 time: 0.4482 data_time: 0.0157 memory: 17087 grad_norm: 6.9795 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8369 loss: 0.8369 2022/08/05 12:19:01 - mmengine - INFO - Epoch(train) [222][200/1879] lr: 1.0000e-04 eta: 7:53:10 time: 0.4339 data_time: 0.0190 memory: 17087 grad_norm: 7.1522 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7406 loss: 0.7406 2022/08/05 12:19:10 - mmengine - INFO - Epoch(train) [222][220/1879] lr: 1.0000e-04 eta: 7:53:01 time: 0.4348 data_time: 0.0183 memory: 17087 grad_norm: 7.1593 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8405 loss: 0.8405 2022/08/05 12:19:19 - mmengine - INFO - Epoch(train) [222][240/1879] lr: 1.0000e-04 eta: 7:52:53 time: 0.4562 data_time: 0.0158 memory: 17087 grad_norm: 7.2250 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9133 loss: 0.9133 2022/08/05 12:19:28 - mmengine - INFO - Epoch(train) [222][260/1879] lr: 1.0000e-04 eta: 7:52:44 time: 0.4302 data_time: 0.0140 memory: 17087 grad_norm: 7.2313 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9326 loss: 0.9326 2022/08/05 12:19:37 - mmengine - INFO - Epoch(train) [222][280/1879] lr: 1.0000e-04 eta: 7:52:35 time: 0.4323 data_time: 0.0172 memory: 17087 grad_norm: 7.0777 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7026 loss: 0.7026 2022/08/05 12:19:45 - mmengine - INFO - Epoch(train) [222][300/1879] lr: 1.0000e-04 eta: 7:52:27 time: 0.4386 data_time: 0.0184 memory: 17087 grad_norm: 7.0186 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7846 loss: 0.7846 2022/08/05 12:19:54 - mmengine - INFO - Epoch(train) [222][320/1879] lr: 1.0000e-04 eta: 7:52:18 time: 0.4344 data_time: 0.0165 memory: 17087 grad_norm: 6.8492 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8596 loss: 0.8596 2022/08/05 12:20:03 - mmengine - INFO - Epoch(train) [222][340/1879] lr: 1.0000e-04 eta: 7:52:10 time: 0.4555 data_time: 0.0155 memory: 17087 grad_norm: 7.0421 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7794 loss: 0.7794 2022/08/05 12:20:12 - mmengine - INFO - Epoch(train) [222][360/1879] lr: 1.0000e-04 eta: 7:52:01 time: 0.4307 data_time: 0.0166 memory: 17087 grad_norm: 7.1202 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7603 loss: 0.7603 2022/08/05 12:20:21 - mmengine - INFO - Epoch(train) [222][380/1879] lr: 1.0000e-04 eta: 7:51:52 time: 0.4346 data_time: 0.0177 memory: 17087 grad_norm: 6.9339 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0243 loss: 1.0243 2022/08/05 12:20:29 - mmengine - INFO - Epoch(train) [222][400/1879] lr: 1.0000e-04 eta: 7:51:44 time: 0.4325 data_time: 0.0159 memory: 17087 grad_norm: 6.9572 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8165 loss: 0.8165 2022/08/05 12:20:38 - mmengine - INFO - Epoch(train) [222][420/1879] lr: 1.0000e-04 eta: 7:51:35 time: 0.4300 data_time: 0.0144 memory: 17087 grad_norm: 7.1441 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8775 loss: 0.8775 2022/08/05 12:20:47 - mmengine - INFO - Epoch(train) [222][440/1879] lr: 1.0000e-04 eta: 7:51:26 time: 0.4317 data_time: 0.0173 memory: 17087 grad_norm: 7.1351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7344 loss: 0.7344 2022/08/05 12:20:55 - mmengine - INFO - Epoch(train) [222][460/1879] lr: 1.0000e-04 eta: 7:51:18 time: 0.4337 data_time: 0.0171 memory: 17087 grad_norm: 7.3742 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7942 loss: 0.7942 2022/08/05 12:21:04 - mmengine - INFO - Epoch(train) [222][480/1879] lr: 1.0000e-04 eta: 7:51:09 time: 0.4521 data_time: 0.0174 memory: 17087 grad_norm: 7.0600 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9294 loss: 0.9294 2022/08/05 12:21:13 - mmengine - INFO - Epoch(train) [222][500/1879] lr: 1.0000e-04 eta: 7:51:00 time: 0.4326 data_time: 0.0163 memory: 17087 grad_norm: 6.8844 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7907 loss: 0.7907 2022/08/05 12:21:22 - mmengine - INFO - Epoch(train) [222][520/1879] lr: 1.0000e-04 eta: 7:50:52 time: 0.4349 data_time: 0.0195 memory: 17087 grad_norm: 7.0951 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6699 loss: 0.6699 2022/08/05 12:21:30 - mmengine - INFO - Epoch(train) [222][540/1879] lr: 1.0000e-04 eta: 7:50:43 time: 0.4338 data_time: 0.0159 memory: 17087 grad_norm: 7.3720 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 1.0897 loss: 1.0897 2022/08/05 12:21:39 - mmengine - INFO - Epoch(train) [222][560/1879] lr: 1.0000e-04 eta: 7:50:34 time: 0.4314 data_time: 0.0166 memory: 17087 grad_norm: 7.0570 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8568 loss: 0.8568 2022/08/05 12:21:48 - mmengine - INFO - Epoch(train) [222][580/1879] lr: 1.0000e-04 eta: 7:50:26 time: 0.4310 data_time: 0.0158 memory: 17087 grad_norm: 6.9290 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.7176 loss: 0.7176 2022/08/05 12:21:57 - mmengine - INFO - Epoch(train) [222][600/1879] lr: 1.0000e-04 eta: 7:50:17 time: 0.4456 data_time: 0.0165 memory: 17087 grad_norm: 6.6314 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6357 loss: 0.6357 2022/08/05 12:22:05 - mmengine - INFO - Epoch(train) [222][620/1879] lr: 1.0000e-04 eta: 7:50:08 time: 0.4360 data_time: 0.0192 memory: 17087 grad_norm: 7.1382 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9561 loss: 0.9561 2022/08/05 12:22:14 - mmengine - INFO - Epoch(train) [222][640/1879] lr: 1.0000e-04 eta: 7:50:00 time: 0.4523 data_time: 0.0168 memory: 17087 grad_norm: 7.1183 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9817 loss: 0.9817 2022/08/05 12:22:23 - mmengine - INFO - Epoch(train) [222][660/1879] lr: 1.0000e-04 eta: 7:49:51 time: 0.4331 data_time: 0.0156 memory: 17087 grad_norm: 7.0565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8899 loss: 0.8899 2022/08/05 12:22:32 - mmengine - INFO - Epoch(train) [222][680/1879] lr: 1.0000e-04 eta: 7:49:43 time: 0.4571 data_time: 0.0219 memory: 17087 grad_norm: 7.1922 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8069 loss: 0.8069 2022/08/05 12:22:41 - mmengine - INFO - Epoch(train) [222][700/1879] lr: 1.0000e-04 eta: 7:49:34 time: 0.4349 data_time: 0.0196 memory: 17087 grad_norm: 7.0011 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8456 loss: 0.8456 2022/08/05 12:22:50 - mmengine - INFO - Epoch(train) [222][720/1879] lr: 1.0000e-04 eta: 7:49:25 time: 0.4377 data_time: 0.0158 memory: 17087 grad_norm: 6.9962 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5571 loss: 0.5571 2022/08/05 12:22:58 - mmengine - INFO - Epoch(train) [222][740/1879] lr: 1.0000e-04 eta: 7:49:17 time: 0.4313 data_time: 0.0154 memory: 17087 grad_norm: 6.8220 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8267 loss: 0.8267 2022/08/05 12:22:59 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:23:07 - mmengine - INFO - Epoch(train) [222][760/1879] lr: 1.0000e-04 eta: 7:49:08 time: 0.4307 data_time: 0.0174 memory: 17087 grad_norm: 7.2234 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9162 loss: 0.9162 2022/08/05 12:23:16 - mmengine - INFO - Epoch(train) [222][780/1879] lr: 1.0000e-04 eta: 7:48:59 time: 0.4342 data_time: 0.0166 memory: 17087 grad_norm: 7.0188 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8815 loss: 0.8815 2022/08/05 12:23:25 - mmengine - INFO - Epoch(train) [222][800/1879] lr: 1.0000e-04 eta: 7:48:51 time: 0.4330 data_time: 0.0176 memory: 17087 grad_norm: 7.1704 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7817 loss: 0.7817 2022/08/05 12:23:33 - mmengine - INFO - Epoch(train) [222][820/1879] lr: 1.0000e-04 eta: 7:48:42 time: 0.4326 data_time: 0.0171 memory: 17087 grad_norm: 6.8544 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6557 loss: 0.6557 2022/08/05 12:23:42 - mmengine - INFO - Epoch(train) [222][840/1879] lr: 1.0000e-04 eta: 7:48:33 time: 0.4325 data_time: 0.0167 memory: 17087 grad_norm: 7.3679 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9159 loss: 0.9159 2022/08/05 12:23:51 - mmengine - INFO - Epoch(train) [222][860/1879] lr: 1.0000e-04 eta: 7:48:25 time: 0.4338 data_time: 0.0151 memory: 17087 grad_norm: 6.9486 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7801 loss: 0.7801 2022/08/05 12:23:59 - mmengine - INFO - Epoch(train) [222][880/1879] lr: 1.0000e-04 eta: 7:48:16 time: 0.4327 data_time: 0.0188 memory: 17087 grad_norm: 7.0841 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7509 loss: 0.7509 2022/08/05 12:24:08 - mmengine - INFO - Epoch(train) [222][900/1879] lr: 1.0000e-04 eta: 7:48:07 time: 0.4295 data_time: 0.0152 memory: 17087 grad_norm: 7.1961 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9364 loss: 0.9364 2022/08/05 12:24:17 - mmengine - INFO - Epoch(train) [222][920/1879] lr: 1.0000e-04 eta: 7:47:59 time: 0.4323 data_time: 0.0163 memory: 17087 grad_norm: 6.8072 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7497 loss: 0.7497 2022/08/05 12:24:25 - mmengine - INFO - Epoch(train) [222][940/1879] lr: 1.0000e-04 eta: 7:47:50 time: 0.4314 data_time: 0.0153 memory: 17087 grad_norm: 6.8567 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8011 loss: 0.8011 2022/08/05 12:24:34 - mmengine - INFO - Epoch(train) [222][960/1879] lr: 1.0000e-04 eta: 7:47:41 time: 0.4520 data_time: 0.0173 memory: 17087 grad_norm: 6.8592 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9159 loss: 0.9159 2022/08/05 12:24:43 - mmengine - INFO - Epoch(train) [222][980/1879] lr: 1.0000e-04 eta: 7:47:33 time: 0.4357 data_time: 0.0217 memory: 17087 grad_norm: 7.1014 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9295 loss: 0.9295 2022/08/05 12:24:52 - mmengine - INFO - Epoch(train) [222][1000/1879] lr: 1.0000e-04 eta: 7:47:24 time: 0.4318 data_time: 0.0160 memory: 17087 grad_norm: 6.9606 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7238 loss: 0.7238 2022/08/05 12:25:00 - mmengine - INFO - Epoch(train) [222][1020/1879] lr: 1.0000e-04 eta: 7:47:15 time: 0.4337 data_time: 0.0161 memory: 17087 grad_norm: 7.0236 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9079 loss: 0.9079 2022/08/05 12:25:09 - mmengine - INFO - Epoch(train) [222][1040/1879] lr: 1.0000e-04 eta: 7:47:07 time: 0.4311 data_time: 0.0160 memory: 17087 grad_norm: 7.3203 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7176 loss: 0.7176 2022/08/05 12:25:18 - mmengine - INFO - Epoch(train) [222][1060/1879] lr: 1.0000e-04 eta: 7:46:58 time: 0.4328 data_time: 0.0156 memory: 17087 grad_norm: 7.0352 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8949 loss: 0.8949 2022/08/05 12:25:26 - mmengine - INFO - Epoch(train) [222][1080/1879] lr: 1.0000e-04 eta: 7:46:49 time: 0.4347 data_time: 0.0167 memory: 17087 grad_norm: 7.1569 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7527 loss: 0.7527 2022/08/05 12:25:35 - mmengine - INFO - Epoch(train) [222][1100/1879] lr: 1.0000e-04 eta: 7:46:41 time: 0.4360 data_time: 0.0198 memory: 17087 grad_norm: 6.9987 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0031 loss: 1.0031 2022/08/05 12:25:44 - mmengine - INFO - Epoch(train) [222][1120/1879] lr: 1.0000e-04 eta: 7:46:32 time: 0.4344 data_time: 0.0164 memory: 17087 grad_norm: 7.2260 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7010 loss: 0.7010 2022/08/05 12:25:53 - mmengine - INFO - Epoch(train) [222][1140/1879] lr: 1.0000e-04 eta: 7:46:23 time: 0.4324 data_time: 0.0161 memory: 17087 grad_norm: 6.8535 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7222 loss: 0.7222 2022/08/05 12:26:02 - mmengine - INFO - Epoch(train) [222][1160/1879] lr: 1.0000e-04 eta: 7:46:15 time: 0.4518 data_time: 0.0172 memory: 17087 grad_norm: 7.1225 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7810 loss: 0.7810 2022/08/05 12:26:10 - mmengine - INFO - Epoch(train) [222][1180/1879] lr: 1.0000e-04 eta: 7:46:06 time: 0.4293 data_time: 0.0150 memory: 17087 grad_norm: 6.8193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8028 loss: 0.8028 2022/08/05 12:26:19 - mmengine - INFO - Epoch(train) [222][1200/1879] lr: 1.0000e-04 eta: 7:45:57 time: 0.4300 data_time: 0.0159 memory: 17087 grad_norm: 7.1532 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9359 loss: 0.9359 2022/08/05 12:26:28 - mmengine - INFO - Epoch(train) [222][1220/1879] lr: 1.0000e-04 eta: 7:45:49 time: 0.4429 data_time: 0.0165 memory: 17087 grad_norm: 6.8538 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7011 loss: 0.7011 2022/08/05 12:26:36 - mmengine - INFO - Epoch(train) [222][1240/1879] lr: 1.0000e-04 eta: 7:45:40 time: 0.4286 data_time: 0.0153 memory: 17087 grad_norm: 7.1030 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9877 loss: 0.9877 2022/08/05 12:26:45 - mmengine - INFO - Epoch(train) [222][1260/1879] lr: 1.0000e-04 eta: 7:45:32 time: 0.4421 data_time: 0.0176 memory: 17087 grad_norm: 7.1044 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8866 loss: 0.8866 2022/08/05 12:26:54 - mmengine - INFO - Epoch(train) [222][1280/1879] lr: 1.0000e-04 eta: 7:45:23 time: 0.4306 data_time: 0.0161 memory: 17087 grad_norm: 6.9634 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7302 loss: 0.7302 2022/08/05 12:27:02 - mmengine - INFO - Epoch(train) [222][1300/1879] lr: 1.0000e-04 eta: 7:45:14 time: 0.4320 data_time: 0.0178 memory: 17087 grad_norm: 7.1155 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9177 loss: 0.9177 2022/08/05 12:27:11 - mmengine - INFO - Epoch(train) [222][1320/1879] lr: 1.0000e-04 eta: 7:45:06 time: 0.4307 data_time: 0.0156 memory: 17087 grad_norm: 7.0499 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0389 loss: 1.0389 2022/08/05 12:27:20 - mmengine - INFO - Epoch(train) [222][1340/1879] lr: 1.0000e-04 eta: 7:44:57 time: 0.4378 data_time: 0.0146 memory: 17087 grad_norm: 7.2537 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9941 loss: 0.9941 2022/08/05 12:27:29 - mmengine - INFO - Epoch(train) [222][1360/1879] lr: 1.0000e-04 eta: 7:44:48 time: 0.4331 data_time: 0.0178 memory: 17087 grad_norm: 6.8705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8899 loss: 0.8899 2022/08/05 12:27:37 - mmengine - INFO - Epoch(train) [222][1380/1879] lr: 1.0000e-04 eta: 7:44:40 time: 0.4328 data_time: 0.0161 memory: 17087 grad_norm: 6.9375 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7577 loss: 0.7577 2022/08/05 12:27:46 - mmengine - INFO - Epoch(train) [222][1400/1879] lr: 1.0000e-04 eta: 7:44:31 time: 0.4554 data_time: 0.0163 memory: 17087 grad_norm: 7.0141 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8275 loss: 0.8275 2022/08/05 12:27:55 - mmengine - INFO - Epoch(train) [222][1420/1879] lr: 1.0000e-04 eta: 7:44:22 time: 0.4335 data_time: 0.0164 memory: 17087 grad_norm: 6.8520 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7361 loss: 0.7361 2022/08/05 12:28:04 - mmengine - INFO - Epoch(train) [222][1440/1879] lr: 1.0000e-04 eta: 7:44:14 time: 0.4346 data_time: 0.0157 memory: 17087 grad_norm: 6.9887 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9830 loss: 0.9830 2022/08/05 12:28:13 - mmengine - INFO - Epoch(train) [222][1460/1879] lr: 1.0000e-04 eta: 7:44:05 time: 0.4398 data_time: 0.0158 memory: 17087 grad_norm: 7.1408 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8470 loss: 0.8470 2022/08/05 12:28:21 - mmengine - INFO - Epoch(train) [222][1480/1879] lr: 1.0000e-04 eta: 7:43:56 time: 0.4319 data_time: 0.0166 memory: 17087 grad_norm: 6.9971 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9070 loss: 0.9070 2022/08/05 12:28:30 - mmengine - INFO - Epoch(train) [222][1500/1879] lr: 1.0000e-04 eta: 7:43:48 time: 0.4480 data_time: 0.0146 memory: 17087 grad_norm: 7.1226 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8035 loss: 0.8035 2022/08/05 12:28:39 - mmengine - INFO - Epoch(train) [222][1520/1879] lr: 1.0000e-04 eta: 7:43:39 time: 0.4323 data_time: 0.0167 memory: 17087 grad_norm: 7.2270 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7990 loss: 0.7990 2022/08/05 12:28:48 - mmengine - INFO - Epoch(train) [222][1540/1879] lr: 1.0000e-04 eta: 7:43:30 time: 0.4301 data_time: 0.0149 memory: 17087 grad_norm: 7.3333 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7715 loss: 0.7715 2022/08/05 12:28:56 - mmengine - INFO - Epoch(train) [222][1560/1879] lr: 1.0000e-04 eta: 7:43:22 time: 0.4409 data_time: 0.0177 memory: 17087 grad_norm: 6.8948 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8240 loss: 0.8240 2022/08/05 12:29:05 - mmengine - INFO - Epoch(train) [222][1580/1879] lr: 1.0000e-04 eta: 7:43:13 time: 0.4323 data_time: 0.0180 memory: 17087 grad_norm: 6.8679 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7588 loss: 0.7588 2022/08/05 12:29:14 - mmengine - INFO - Epoch(train) [222][1600/1879] lr: 1.0000e-04 eta: 7:43:04 time: 0.4505 data_time: 0.0169 memory: 17087 grad_norm: 7.1069 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9675 loss: 0.9675 2022/08/05 12:29:23 - mmengine - INFO - Epoch(train) [222][1620/1879] lr: 1.0000e-04 eta: 7:42:56 time: 0.4302 data_time: 0.0150 memory: 17087 grad_norm: 6.6765 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7216 loss: 0.7216 2022/08/05 12:29:31 - mmengine - INFO - Epoch(train) [222][1640/1879] lr: 1.0000e-04 eta: 7:42:47 time: 0.4364 data_time: 0.0174 memory: 17087 grad_norm: 7.0321 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7457 loss: 0.7457 2022/08/05 12:29:40 - mmengine - INFO - Epoch(train) [222][1660/1879] lr: 1.0000e-04 eta: 7:42:38 time: 0.4320 data_time: 0.0154 memory: 17087 grad_norm: 7.3050 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9678 loss: 0.9678 2022/08/05 12:29:49 - mmengine - INFO - Epoch(train) [222][1680/1879] lr: 1.0000e-04 eta: 7:42:30 time: 0.4323 data_time: 0.0159 memory: 17087 grad_norm: 7.1913 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8537 loss: 0.8537 2022/08/05 12:29:58 - mmengine - INFO - Epoch(train) [222][1700/1879] lr: 1.0000e-04 eta: 7:42:21 time: 0.4508 data_time: 0.0162 memory: 17087 grad_norm: 7.1484 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9456 loss: 0.9456 2022/08/05 12:30:06 - mmengine - INFO - Epoch(train) [222][1720/1879] lr: 1.0000e-04 eta: 7:42:13 time: 0.4323 data_time: 0.0170 memory: 17087 grad_norm: 7.3893 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0327 loss: 1.0327 2022/08/05 12:30:15 - mmengine - INFO - Epoch(train) [222][1740/1879] lr: 1.0000e-04 eta: 7:42:04 time: 0.4424 data_time: 0.0163 memory: 17087 grad_norm: 7.0037 top1_acc: 0.4375 top5_acc: 0.5625 loss_cls: 0.9857 loss: 0.9857 2022/08/05 12:30:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:30:24 - mmengine - INFO - Epoch(train) [222][1760/1879] lr: 1.0000e-04 eta: 7:41:55 time: 0.4318 data_time: 0.0174 memory: 17087 grad_norm: 7.1809 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6796 loss: 0.6796 2022/08/05 12:30:33 - mmengine - INFO - Epoch(train) [222][1780/1879] lr: 1.0000e-04 eta: 7:41:47 time: 0.4607 data_time: 0.0160 memory: 17087 grad_norm: 6.9174 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6825 loss: 0.6825 2022/08/05 12:30:42 - mmengine - INFO - Epoch(train) [222][1800/1879] lr: 1.0000e-04 eta: 7:41:38 time: 0.4310 data_time: 0.0195 memory: 17087 grad_norm: 7.2267 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9104 loss: 0.9104 2022/08/05 12:30:51 - mmengine - INFO - Epoch(train) [222][1820/1879] lr: 1.0000e-04 eta: 7:41:29 time: 0.4501 data_time: 0.0167 memory: 17087 grad_norm: 7.2476 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8525 loss: 0.8525 2022/08/05 12:31:00 - mmengine - INFO - Epoch(train) [222][1840/1879] lr: 1.0000e-04 eta: 7:41:21 time: 0.4295 data_time: 0.0168 memory: 17087 grad_norm: 7.1159 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6712 loss: 0.6712 2022/08/05 12:31:08 - mmengine - INFO - Epoch(train) [222][1860/1879] lr: 1.0000e-04 eta: 7:41:12 time: 0.4296 data_time: 0.0148 memory: 17087 grad_norm: 7.2358 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7370 loss: 0.7370 2022/08/05 12:31:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:31:16 - mmengine - INFO - Epoch(train) [222][1879/1879] lr: 1.0000e-04 eta: 7:41:12 time: 0.4182 data_time: 0.0152 memory: 17087 grad_norm: 7.5351 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8563 loss: 0.8563 2022/08/05 12:31:27 - mmengine - INFO - Epoch(train) [223][20/1879] lr: 1.0000e-04 eta: 7:40:54 time: 0.5581 data_time: 0.1146 memory: 17087 grad_norm: 7.2177 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9141 loss: 0.9141 2022/08/05 12:31:36 - mmengine - INFO - Epoch(train) [223][40/1879] lr: 1.0000e-04 eta: 7:40:46 time: 0.4424 data_time: 0.0158 memory: 17087 grad_norm: 7.1116 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8718 loss: 0.8718 2022/08/05 12:31:45 - mmengine - INFO - Epoch(train) [223][60/1879] lr: 1.0000e-04 eta: 7:40:37 time: 0.4290 data_time: 0.0163 memory: 17087 grad_norm: 7.0245 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7925 loss: 0.7925 2022/08/05 12:31:54 - mmengine - INFO - Epoch(train) [223][80/1879] lr: 1.0000e-04 eta: 7:40:28 time: 0.4492 data_time: 0.0176 memory: 17087 grad_norm: 7.0036 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8953 loss: 0.8953 2022/08/05 12:32:02 - mmengine - INFO - Epoch(train) [223][100/1879] lr: 1.0000e-04 eta: 7:40:20 time: 0.4291 data_time: 0.0145 memory: 17087 grad_norm: 6.7419 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8926 loss: 0.8926 2022/08/05 12:32:11 - mmengine - INFO - Epoch(train) [223][120/1879] lr: 1.0000e-04 eta: 7:40:11 time: 0.4516 data_time: 0.0160 memory: 17087 grad_norm: 7.1629 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7558 loss: 0.7558 2022/08/05 12:32:20 - mmengine - INFO - Epoch(train) [223][140/1879] lr: 1.0000e-04 eta: 7:40:02 time: 0.4321 data_time: 0.0152 memory: 17087 grad_norm: 7.1846 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9295 loss: 0.9295 2022/08/05 12:32:29 - mmengine - INFO - Epoch(train) [223][160/1879] lr: 1.0000e-04 eta: 7:39:54 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 7.0830 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7493 loss: 0.7493 2022/08/05 12:32:38 - mmengine - INFO - Epoch(train) [223][180/1879] lr: 1.0000e-04 eta: 7:39:45 time: 0.4583 data_time: 0.0163 memory: 17087 grad_norm: 7.0572 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7917 loss: 0.7917 2022/08/05 12:32:47 - mmengine - INFO - Epoch(train) [223][200/1879] lr: 1.0000e-04 eta: 7:39:37 time: 0.4324 data_time: 0.0161 memory: 17087 grad_norm: 7.1924 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8562 loss: 0.8562 2022/08/05 12:32:56 - mmengine - INFO - Epoch(train) [223][220/1879] lr: 1.0000e-04 eta: 7:39:28 time: 0.4605 data_time: 0.0158 memory: 17087 grad_norm: 7.0642 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7575 loss: 0.7575 2022/08/05 12:33:05 - mmengine - INFO - Epoch(train) [223][240/1879] lr: 1.0000e-04 eta: 7:39:19 time: 0.4331 data_time: 0.0177 memory: 17087 grad_norm: 7.3891 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7824 loss: 0.7824 2022/08/05 12:33:13 - mmengine - INFO - Epoch(train) [223][260/1879] lr: 1.0000e-04 eta: 7:39:11 time: 0.4436 data_time: 0.0161 memory: 17087 grad_norm: 7.0579 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8635 loss: 0.8635 2022/08/05 12:33:22 - mmengine - INFO - Epoch(train) [223][280/1879] lr: 1.0000e-04 eta: 7:39:02 time: 0.4345 data_time: 0.0168 memory: 17087 grad_norm: 7.0873 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8359 loss: 0.8359 2022/08/05 12:33:31 - mmengine - INFO - Epoch(train) [223][300/1879] lr: 1.0000e-04 eta: 7:38:53 time: 0.4383 data_time: 0.0164 memory: 17087 grad_norm: 6.9683 top1_acc: 0.5625 top5_acc: 0.6250 loss_cls: 0.8237 loss: 0.8237 2022/08/05 12:33:40 - mmengine - INFO - Epoch(train) [223][320/1879] lr: 1.0000e-04 eta: 7:38:45 time: 0.4323 data_time: 0.0165 memory: 17087 grad_norm: 7.0207 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8255 loss: 0.8255 2022/08/05 12:33:48 - mmengine - INFO - Epoch(train) [223][340/1879] lr: 1.0000e-04 eta: 7:38:36 time: 0.4323 data_time: 0.0161 memory: 17087 grad_norm: 7.2738 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8699 loss: 0.8699 2022/08/05 12:33:57 - mmengine - INFO - Epoch(train) [223][360/1879] lr: 1.0000e-04 eta: 7:38:27 time: 0.4339 data_time: 0.0172 memory: 17087 grad_norm: 7.3219 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8972 loss: 0.8972 2022/08/05 12:34:06 - mmengine - INFO - Epoch(train) [223][380/1879] lr: 1.0000e-04 eta: 7:38:19 time: 0.4519 data_time: 0.0137 memory: 17087 grad_norm: 7.2424 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8555 loss: 0.8555 2022/08/05 12:34:15 - mmengine - INFO - Epoch(train) [223][400/1879] lr: 1.0000e-04 eta: 7:38:10 time: 0.4407 data_time: 0.0195 memory: 17087 grad_norm: 6.9799 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0054 loss: 1.0054 2022/08/05 12:34:24 - mmengine - INFO - Epoch(train) [223][420/1879] lr: 1.0000e-04 eta: 7:38:01 time: 0.4304 data_time: 0.0172 memory: 17087 grad_norm: 6.9533 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7999 loss: 0.7999 2022/08/05 12:34:33 - mmengine - INFO - Epoch(train) [223][440/1879] lr: 1.0000e-04 eta: 7:37:53 time: 0.4742 data_time: 0.0194 memory: 17087 grad_norm: 7.1043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8163 loss: 0.8163 2022/08/05 12:34:42 - mmengine - INFO - Epoch(train) [223][460/1879] lr: 1.0000e-04 eta: 7:37:44 time: 0.4367 data_time: 0.0194 memory: 17087 grad_norm: 6.8178 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8114 loss: 0.8114 2022/08/05 12:34:51 - mmengine - INFO - Epoch(train) [223][480/1879] lr: 1.0000e-04 eta: 7:37:36 time: 0.4332 data_time: 0.0183 memory: 17087 grad_norm: 7.5959 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9031 loss: 0.9031 2022/08/05 12:34:59 - mmengine - INFO - Epoch(train) [223][500/1879] lr: 1.0000e-04 eta: 7:37:27 time: 0.4318 data_time: 0.0142 memory: 17087 grad_norm: 6.9381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8773 loss: 0.8773 2022/08/05 12:35:08 - mmengine - INFO - Epoch(train) [223][520/1879] lr: 1.0000e-04 eta: 7:37:18 time: 0.4579 data_time: 0.0185 memory: 17087 grad_norm: 7.2342 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7532 loss: 0.7532 2022/08/05 12:35:17 - mmengine - INFO - Epoch(train) [223][540/1879] lr: 1.0000e-04 eta: 7:37:10 time: 0.4301 data_time: 0.0133 memory: 17087 grad_norm: 6.8149 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8582 loss: 0.8582 2022/08/05 12:35:26 - mmengine - INFO - Epoch(train) [223][560/1879] lr: 1.0000e-04 eta: 7:37:01 time: 0.4457 data_time: 0.0189 memory: 17087 grad_norm: 6.9349 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7542 loss: 0.7542 2022/08/05 12:35:35 - mmengine - INFO - Epoch(train) [223][580/1879] lr: 1.0000e-04 eta: 7:36:52 time: 0.4306 data_time: 0.0147 memory: 17087 grad_norm: 7.2201 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8253 loss: 0.8253 2022/08/05 12:35:43 - mmengine - INFO - Epoch(train) [223][600/1879] lr: 1.0000e-04 eta: 7:36:44 time: 0.4385 data_time: 0.0244 memory: 17087 grad_norm: 6.9466 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6529 loss: 0.6529 2022/08/05 12:35:52 - mmengine - INFO - Epoch(train) [223][620/1879] lr: 1.0000e-04 eta: 7:36:35 time: 0.4299 data_time: 0.0146 memory: 17087 grad_norm: 7.0527 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7159 loss: 0.7159 2022/08/05 12:36:01 - mmengine - INFO - Epoch(train) [223][640/1879] lr: 1.0000e-04 eta: 7:36:27 time: 0.4657 data_time: 0.0173 memory: 17087 grad_norm: 7.2901 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8453 loss: 0.8453 2022/08/05 12:36:10 - mmengine - INFO - Epoch(train) [223][660/1879] lr: 1.0000e-04 eta: 7:36:18 time: 0.4302 data_time: 0.0145 memory: 17087 grad_norm: 7.0220 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8769 loss: 0.8769 2022/08/05 12:36:19 - mmengine - INFO - Epoch(train) [223][680/1879] lr: 1.0000e-04 eta: 7:36:09 time: 0.4314 data_time: 0.0160 memory: 17087 grad_norm: 6.9539 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8425 loss: 0.8425 2022/08/05 12:36:27 - mmengine - INFO - Epoch(train) [223][700/1879] lr: 1.0000e-04 eta: 7:36:01 time: 0.4391 data_time: 0.0200 memory: 17087 grad_norm: 7.1965 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8003 loss: 0.8003 2022/08/05 12:36:36 - mmengine - INFO - Epoch(train) [223][720/1879] lr: 1.0000e-04 eta: 7:35:52 time: 0.4315 data_time: 0.0159 memory: 17087 grad_norm: 6.9901 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8361 loss: 0.8361 2022/08/05 12:36:45 - mmengine - INFO - Epoch(train) [223][740/1879] lr: 1.0000e-04 eta: 7:35:43 time: 0.4435 data_time: 0.0164 memory: 17087 grad_norm: 7.0705 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0453 loss: 1.0453 2022/08/05 12:36:54 - mmengine - INFO - Epoch(train) [223][760/1879] lr: 1.0000e-04 eta: 7:35:35 time: 0.4330 data_time: 0.0163 memory: 17087 grad_norm: 7.3952 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8969 loss: 0.8969 2022/08/05 12:37:03 - mmengine - INFO - Epoch(train) [223][780/1879] lr: 1.0000e-04 eta: 7:35:26 time: 0.4604 data_time: 0.0168 memory: 17087 grad_norm: 6.8900 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8780 loss: 0.8780 2022/08/05 12:37:12 - mmengine - INFO - Epoch(train) [223][800/1879] lr: 1.0000e-04 eta: 7:35:17 time: 0.4395 data_time: 0.0228 memory: 17087 grad_norm: 7.1530 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6610 loss: 0.6610 2022/08/05 12:37:20 - mmengine - INFO - Epoch(train) [223][820/1879] lr: 1.0000e-04 eta: 7:35:09 time: 0.4322 data_time: 0.0157 memory: 17087 grad_norm: 6.9547 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9273 loss: 0.9273 2022/08/05 12:37:29 - mmengine - INFO - Epoch(train) [223][840/1879] lr: 1.0000e-04 eta: 7:35:00 time: 0.4335 data_time: 0.0179 memory: 17087 grad_norm: 7.1210 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7732 loss: 0.7732 2022/08/05 12:37:38 - mmengine - INFO - Epoch(train) [223][860/1879] lr: 1.0000e-04 eta: 7:34:51 time: 0.4310 data_time: 0.0174 memory: 17087 grad_norm: 7.1484 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9700 loss: 0.9700 2022/08/05 12:37:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:37:47 - mmengine - INFO - Epoch(train) [223][880/1879] lr: 1.0000e-04 eta: 7:34:43 time: 0.4428 data_time: 0.0224 memory: 17087 grad_norm: 7.1947 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9689 loss: 0.9689 2022/08/05 12:37:55 - mmengine - INFO - Epoch(train) [223][900/1879] lr: 1.0000e-04 eta: 7:34:34 time: 0.4325 data_time: 0.0149 memory: 17087 grad_norm: 7.2201 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8392 loss: 0.8392 2022/08/05 12:38:04 - mmengine - INFO - Epoch(train) [223][920/1879] lr: 1.0000e-04 eta: 7:34:26 time: 0.4514 data_time: 0.0187 memory: 17087 grad_norm: 7.1834 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7665 loss: 0.7665 2022/08/05 12:38:13 - mmengine - INFO - Epoch(train) [223][940/1879] lr: 1.0000e-04 eta: 7:34:17 time: 0.4300 data_time: 0.0141 memory: 17087 grad_norm: 7.4646 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8661 loss: 0.8661 2022/08/05 12:38:22 - mmengine - INFO - Epoch(train) [223][960/1879] lr: 1.0000e-04 eta: 7:34:08 time: 0.4349 data_time: 0.0187 memory: 17087 grad_norm: 7.0769 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7130 loss: 0.7130 2022/08/05 12:38:30 - mmengine - INFO - Epoch(train) [223][980/1879] lr: 1.0000e-04 eta: 7:34:00 time: 0.4303 data_time: 0.0158 memory: 17087 grad_norm: 6.9530 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8387 loss: 0.8387 2022/08/05 12:38:39 - mmengine - INFO - Epoch(train) [223][1000/1879] lr: 1.0000e-04 eta: 7:33:51 time: 0.4372 data_time: 0.0183 memory: 17087 grad_norm: 6.9946 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8811 loss: 0.8811 2022/08/05 12:38:48 - mmengine - INFO - Epoch(train) [223][1020/1879] lr: 1.0000e-04 eta: 7:33:42 time: 0.4294 data_time: 0.0130 memory: 17087 grad_norm: 6.9037 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8505 loss: 0.8505 2022/08/05 12:38:56 - mmengine - INFO - Epoch(train) [223][1040/1879] lr: 1.0000e-04 eta: 7:33:34 time: 0.4397 data_time: 0.0205 memory: 17087 grad_norm: 7.0670 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8497 loss: 0.8497 2022/08/05 12:39:05 - mmengine - INFO - Epoch(train) [223][1060/1879] lr: 1.0000e-04 eta: 7:33:25 time: 0.4294 data_time: 0.0138 memory: 17087 grad_norm: 6.9298 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8751 loss: 0.8751 2022/08/05 12:39:14 - mmengine - INFO - Epoch(train) [223][1080/1879] lr: 1.0000e-04 eta: 7:33:16 time: 0.4507 data_time: 0.0183 memory: 17087 grad_norm: 7.2539 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8856 loss: 0.8856 2022/08/05 12:39:23 - mmengine - INFO - Epoch(train) [223][1100/1879] lr: 1.0000e-04 eta: 7:33:08 time: 0.4290 data_time: 0.0135 memory: 17087 grad_norm: 7.0805 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9576 loss: 0.9576 2022/08/05 12:39:32 - mmengine - INFO - Epoch(train) [223][1120/1879] lr: 1.0000e-04 eta: 7:32:59 time: 0.4578 data_time: 0.0223 memory: 17087 grad_norm: 6.7924 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8081 loss: 0.8081 2022/08/05 12:39:41 - mmengine - INFO - Epoch(train) [223][1140/1879] lr: 1.0000e-04 eta: 7:32:50 time: 0.4308 data_time: 0.0154 memory: 17087 grad_norm: 6.8674 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8151 loss: 0.8151 2022/08/05 12:39:49 - mmengine - INFO - Epoch(train) [223][1160/1879] lr: 1.0000e-04 eta: 7:32:42 time: 0.4321 data_time: 0.0161 memory: 17087 grad_norm: 6.9649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7216 loss: 0.7216 2022/08/05 12:39:58 - mmengine - INFO - Epoch(train) [223][1180/1879] lr: 1.0000e-04 eta: 7:32:33 time: 0.4376 data_time: 0.0136 memory: 17087 grad_norm: 6.9707 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6764 loss: 0.6764 2022/08/05 12:40:07 - mmengine - INFO - Epoch(train) [223][1200/1879] lr: 1.0000e-04 eta: 7:32:24 time: 0.4323 data_time: 0.0159 memory: 17087 grad_norm: 6.8850 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8621 loss: 0.8621 2022/08/05 12:40:15 - mmengine - INFO - Epoch(train) [223][1220/1879] lr: 1.0000e-04 eta: 7:32:16 time: 0.4420 data_time: 0.0152 memory: 17087 grad_norm: 6.9130 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7427 loss: 0.7427 2022/08/05 12:40:24 - mmengine - INFO - Epoch(train) [223][1240/1879] lr: 1.0000e-04 eta: 7:32:07 time: 0.4329 data_time: 0.0166 memory: 17087 grad_norm: 7.1812 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9183 loss: 0.9183 2022/08/05 12:40:33 - mmengine - INFO - Epoch(train) [223][1260/1879] lr: 1.0000e-04 eta: 7:31:58 time: 0.4457 data_time: 0.0151 memory: 17087 grad_norm: 7.2220 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7679 loss: 0.7679 2022/08/05 12:40:42 - mmengine - INFO - Epoch(train) [223][1280/1879] lr: 1.0000e-04 eta: 7:31:50 time: 0.4387 data_time: 0.0177 memory: 17087 grad_norm: 7.0172 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7936 loss: 0.7936 2022/08/05 12:40:51 - mmengine - INFO - Epoch(train) [223][1300/1879] lr: 1.0000e-04 eta: 7:31:41 time: 0.4302 data_time: 0.0151 memory: 17087 grad_norm: 7.3599 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8316 loss: 0.8316 2022/08/05 12:40:59 - mmengine - INFO - Epoch(train) [223][1320/1879] lr: 1.0000e-04 eta: 7:31:33 time: 0.4329 data_time: 0.0173 memory: 17087 grad_norm: 6.9855 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7182 loss: 0.7182 2022/08/05 12:41:08 - mmengine - INFO - Epoch(train) [223][1340/1879] lr: 1.0000e-04 eta: 7:31:24 time: 0.4389 data_time: 0.0152 memory: 17087 grad_norm: 7.2854 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8803 loss: 0.8803 2022/08/05 12:41:17 - mmengine - INFO - Epoch(train) [223][1360/1879] lr: 1.0000e-04 eta: 7:31:15 time: 0.4437 data_time: 0.0172 memory: 17087 grad_norm: 6.8642 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8734 loss: 0.8734 2022/08/05 12:41:26 - mmengine - INFO - Epoch(train) [223][1380/1879] lr: 1.0000e-04 eta: 7:31:07 time: 0.4344 data_time: 0.0150 memory: 17087 grad_norm: 7.2346 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8885 loss: 0.8885 2022/08/05 12:41:34 - mmengine - INFO - Epoch(train) [223][1400/1879] lr: 1.0000e-04 eta: 7:30:58 time: 0.4334 data_time: 0.0175 memory: 17087 grad_norm: 6.9507 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7898 loss: 0.7898 2022/08/05 12:41:43 - mmengine - INFO - Epoch(train) [223][1420/1879] lr: 1.0000e-04 eta: 7:30:49 time: 0.4377 data_time: 0.0168 memory: 17087 grad_norm: 6.8935 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7160 loss: 0.7160 2022/08/05 12:41:52 - mmengine - INFO - Epoch(train) [223][1440/1879] lr: 1.0000e-04 eta: 7:30:41 time: 0.4325 data_time: 0.0188 memory: 17087 grad_norm: 6.9549 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7812 loss: 0.7812 2022/08/05 12:42:00 - mmengine - INFO - Epoch(train) [223][1460/1879] lr: 1.0000e-04 eta: 7:30:32 time: 0.4295 data_time: 0.0141 memory: 17087 grad_norm: 7.1059 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9921 loss: 0.9921 2022/08/05 12:42:09 - mmengine - INFO - Epoch(train) [223][1480/1879] lr: 1.0000e-04 eta: 7:30:23 time: 0.4349 data_time: 0.0210 memory: 17087 grad_norm: 6.8564 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7163 loss: 0.7163 2022/08/05 12:42:18 - mmengine - INFO - Epoch(train) [223][1500/1879] lr: 1.0000e-04 eta: 7:30:15 time: 0.4342 data_time: 0.0162 memory: 17087 grad_norm: 6.9491 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8862 loss: 0.8862 2022/08/05 12:42:26 - mmengine - INFO - Epoch(train) [223][1520/1879] lr: 1.0000e-04 eta: 7:30:06 time: 0.4332 data_time: 0.0174 memory: 17087 grad_norm: 7.3101 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9511 loss: 0.9511 2022/08/05 12:42:35 - mmengine - INFO - Epoch(train) [223][1540/1879] lr: 1.0000e-04 eta: 7:29:57 time: 0.4373 data_time: 0.0175 memory: 17087 grad_norm: 6.7979 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8906 loss: 0.8906 2022/08/05 12:42:44 - mmengine - INFO - Epoch(train) [223][1560/1879] lr: 1.0000e-04 eta: 7:29:49 time: 0.4531 data_time: 0.0168 memory: 17087 grad_norm: 7.3572 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7172 loss: 0.7172 2022/08/05 12:42:53 - mmengine - INFO - Epoch(train) [223][1580/1879] lr: 1.0000e-04 eta: 7:29:40 time: 0.4390 data_time: 0.0188 memory: 17087 grad_norm: 7.0494 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8772 loss: 0.8772 2022/08/05 12:43:02 - mmengine - INFO - Epoch(train) [223][1600/1879] lr: 1.0000e-04 eta: 7:29:31 time: 0.4333 data_time: 0.0183 memory: 17087 grad_norm: 6.8838 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6909 loss: 0.6909 2022/08/05 12:43:10 - mmengine - INFO - Epoch(train) [223][1620/1879] lr: 1.0000e-04 eta: 7:29:23 time: 0.4300 data_time: 0.0148 memory: 17087 grad_norm: 7.2083 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7079 loss: 0.7079 2022/08/05 12:43:19 - mmengine - INFO - Epoch(train) [223][1640/1879] lr: 1.0000e-04 eta: 7:29:14 time: 0.4481 data_time: 0.0203 memory: 17087 grad_norm: 7.1552 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8641 loss: 0.8641 2022/08/05 12:43:28 - mmengine - INFO - Epoch(train) [223][1660/1879] lr: 1.0000e-04 eta: 7:29:06 time: 0.4500 data_time: 0.0151 memory: 17087 grad_norm: 7.1134 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9152 loss: 0.9152 2022/08/05 12:43:37 - mmengine - INFO - Epoch(train) [223][1680/1879] lr: 1.0000e-04 eta: 7:28:57 time: 0.4423 data_time: 0.0215 memory: 17087 grad_norm: 6.8644 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7604 loss: 0.7604 2022/08/05 12:43:46 - mmengine - INFO - Epoch(train) [223][1700/1879] lr: 1.0000e-04 eta: 7:28:48 time: 0.4343 data_time: 0.0157 memory: 17087 grad_norm: 7.0831 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8369 loss: 0.8369 2022/08/05 12:43:55 - mmengine - INFO - Epoch(train) [223][1720/1879] lr: 1.0000e-04 eta: 7:28:40 time: 0.4362 data_time: 0.0173 memory: 17087 grad_norm: 7.1700 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7940 loss: 0.7940 2022/08/05 12:44:03 - mmengine - INFO - Epoch(train) [223][1740/1879] lr: 1.0000e-04 eta: 7:28:31 time: 0.4336 data_time: 0.0155 memory: 17087 grad_norm: 7.3887 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9536 loss: 0.9536 2022/08/05 12:44:12 - mmengine - INFO - Epoch(train) [223][1760/1879] lr: 1.0000e-04 eta: 7:28:22 time: 0.4351 data_time: 0.0171 memory: 17087 grad_norm: 6.8965 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8331 loss: 0.8331 2022/08/05 12:44:21 - mmengine - INFO - Epoch(train) [223][1780/1879] lr: 1.0000e-04 eta: 7:28:14 time: 0.4295 data_time: 0.0148 memory: 17087 grad_norm: 7.0507 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7529 loss: 0.7529 2022/08/05 12:44:30 - mmengine - INFO - Epoch(train) [223][1800/1879] lr: 1.0000e-04 eta: 7:28:05 time: 0.4425 data_time: 0.0172 memory: 17087 grad_norm: 7.2128 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8417 loss: 0.8417 2022/08/05 12:44:38 - mmengine - INFO - Epoch(train) [223][1820/1879] lr: 1.0000e-04 eta: 7:27:56 time: 0.4376 data_time: 0.0151 memory: 17087 grad_norm: 6.9544 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5916 loss: 0.5916 2022/08/05 12:44:47 - mmengine - INFO - Epoch(train) [223][1840/1879] lr: 1.0000e-04 eta: 7:27:48 time: 0.4362 data_time: 0.0196 memory: 17087 grad_norm: 7.1616 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8873 loss: 0.8873 2022/08/05 12:44:56 - mmengine - INFO - Epoch(train) [223][1860/1879] lr: 1.0000e-04 eta: 7:27:39 time: 0.4324 data_time: 0.0155 memory: 17087 grad_norm: 7.1303 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7999 loss: 0.7999 2022/08/05 12:44:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:45:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:45:04 - mmengine - INFO - Epoch(train) [223][1879/1879] lr: 1.0000e-04 eta: 7:27:39 time: 0.4170 data_time: 0.0164 memory: 17087 grad_norm: 7.2683 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7411 loss: 0.7411 2022/08/05 12:45:15 - mmengine - INFO - Epoch(train) [224][20/1879] lr: 1.0000e-04 eta: 7:27:21 time: 0.5563 data_time: 0.1245 memory: 17087 grad_norm: 6.9523 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8613 loss: 0.8613 2022/08/05 12:45:24 - mmengine - INFO - Epoch(train) [224][40/1879] lr: 1.0000e-04 eta: 7:27:13 time: 0.4545 data_time: 0.0175 memory: 17087 grad_norm: 7.0438 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9325 loss: 0.9325 2022/08/05 12:45:33 - mmengine - INFO - Epoch(train) [224][60/1879] lr: 1.0000e-04 eta: 7:27:04 time: 0.4324 data_time: 0.0145 memory: 17087 grad_norm: 6.9902 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7771 loss: 0.7771 2022/08/05 12:45:41 - mmengine - INFO - Epoch(train) [224][80/1879] lr: 1.0000e-04 eta: 7:26:55 time: 0.4334 data_time: 0.0166 memory: 17087 grad_norm: 6.9556 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9057 loss: 0.9057 2022/08/05 12:45:50 - mmengine - INFO - Epoch(train) [224][100/1879] lr: 1.0000e-04 eta: 7:26:47 time: 0.4316 data_time: 0.0138 memory: 17087 grad_norm: 6.9345 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8316 loss: 0.8316 2022/08/05 12:45:59 - mmengine - INFO - Epoch(train) [224][120/1879] lr: 1.0000e-04 eta: 7:26:38 time: 0.4342 data_time: 0.0174 memory: 17087 grad_norm: 7.4583 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8710 loss: 0.8710 2022/08/05 12:46:08 - mmengine - INFO - Epoch(train) [224][140/1879] lr: 1.0000e-04 eta: 7:26:29 time: 0.4533 data_time: 0.0138 memory: 17087 grad_norm: 7.1041 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9637 loss: 0.9637 2022/08/05 12:46:17 - mmengine - INFO - Epoch(train) [224][160/1879] lr: 1.0000e-04 eta: 7:26:21 time: 0.4397 data_time: 0.0221 memory: 17087 grad_norm: 7.1909 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8920 loss: 0.8920 2022/08/05 12:46:25 - mmengine - INFO - Epoch(train) [224][180/1879] lr: 1.0000e-04 eta: 7:26:12 time: 0.4315 data_time: 0.0146 memory: 17087 grad_norm: 6.9409 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8551 loss: 0.8551 2022/08/05 12:46:34 - mmengine - INFO - Epoch(train) [224][200/1879] lr: 1.0000e-04 eta: 7:26:03 time: 0.4364 data_time: 0.0167 memory: 17087 grad_norm: 7.2258 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8624 loss: 0.8624 2022/08/05 12:46:43 - mmengine - INFO - Epoch(train) [224][220/1879] lr: 1.0000e-04 eta: 7:25:55 time: 0.4502 data_time: 0.0154 memory: 17087 grad_norm: 7.2084 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7114 loss: 0.7114 2022/08/05 12:46:52 - mmengine - INFO - Epoch(train) [224][240/1879] lr: 1.0000e-04 eta: 7:25:46 time: 0.4377 data_time: 0.0204 memory: 17087 grad_norm: 7.0760 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9339 loss: 0.9339 2022/08/05 12:47:01 - mmengine - INFO - Epoch(train) [224][260/1879] lr: 1.0000e-04 eta: 7:25:38 time: 0.4318 data_time: 0.0146 memory: 17087 grad_norm: 6.7206 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8265 loss: 0.8265 2022/08/05 12:47:10 - mmengine - INFO - Epoch(train) [224][280/1879] lr: 1.0000e-04 eta: 7:25:29 time: 0.4492 data_time: 0.0163 memory: 17087 grad_norm: 7.4238 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9518 loss: 0.9518 2022/08/05 12:47:18 - mmengine - INFO - Epoch(train) [224][300/1879] lr: 1.0000e-04 eta: 7:25:20 time: 0.4327 data_time: 0.0163 memory: 17087 grad_norm: 7.2988 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6142 loss: 0.6142 2022/08/05 12:47:27 - mmengine - INFO - Epoch(train) [224][320/1879] lr: 1.0000e-04 eta: 7:25:12 time: 0.4324 data_time: 0.0177 memory: 17087 grad_norm: 7.1875 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9156 loss: 0.9156 2022/08/05 12:47:36 - mmengine - INFO - Epoch(train) [224][340/1879] lr: 1.0000e-04 eta: 7:25:03 time: 0.4366 data_time: 0.0139 memory: 17087 grad_norm: 7.1792 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7430 loss: 0.7430 2022/08/05 12:47:45 - mmengine - INFO - Epoch(train) [224][360/1879] lr: 1.0000e-04 eta: 7:24:54 time: 0.4386 data_time: 0.0188 memory: 17087 grad_norm: 7.1998 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8819 loss: 0.8819 2022/08/05 12:47:53 - mmengine - INFO - Epoch(train) [224][380/1879] lr: 1.0000e-04 eta: 7:24:46 time: 0.4334 data_time: 0.0156 memory: 17087 grad_norm: 6.9624 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9165 loss: 0.9165 2022/08/05 12:48:02 - mmengine - INFO - Epoch(train) [224][400/1879] lr: 1.0000e-04 eta: 7:24:37 time: 0.4320 data_time: 0.0173 memory: 17087 grad_norm: 6.9074 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9163 loss: 0.9163 2022/08/05 12:48:10 - mmengine - INFO - Epoch(train) [224][420/1879] lr: 1.0000e-04 eta: 7:24:28 time: 0.4296 data_time: 0.0126 memory: 17087 grad_norm: 6.9995 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7657 loss: 0.7657 2022/08/05 12:48:19 - mmengine - INFO - Epoch(train) [224][440/1879] lr: 1.0000e-04 eta: 7:24:20 time: 0.4415 data_time: 0.0162 memory: 17087 grad_norm: 7.1805 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8540 loss: 0.8540 2022/08/05 12:48:28 - mmengine - INFO - Epoch(train) [224][460/1879] lr: 1.0000e-04 eta: 7:24:11 time: 0.4316 data_time: 0.0165 memory: 17087 grad_norm: 7.0228 top1_acc: 0.4375 top5_acc: 0.6875 loss_cls: 0.9247 loss: 0.9247 2022/08/05 12:48:37 - mmengine - INFO - Epoch(train) [224][480/1879] lr: 1.0000e-04 eta: 7:24:02 time: 0.4326 data_time: 0.0176 memory: 17087 grad_norm: 7.0901 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6819 loss: 0.6819 2022/08/05 12:48:45 - mmengine - INFO - Epoch(train) [224][500/1879] lr: 1.0000e-04 eta: 7:23:54 time: 0.4384 data_time: 0.0164 memory: 17087 grad_norm: 6.9725 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9418 loss: 0.9418 2022/08/05 12:48:54 - mmengine - INFO - Epoch(train) [224][520/1879] lr: 1.0000e-04 eta: 7:23:45 time: 0.4366 data_time: 0.0175 memory: 17087 grad_norm: 7.1854 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8206 loss: 0.8206 2022/08/05 12:49:03 - mmengine - INFO - Epoch(train) [224][540/1879] lr: 1.0000e-04 eta: 7:23:36 time: 0.4328 data_time: 0.0157 memory: 17087 grad_norm: 6.9370 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7933 loss: 0.7933 2022/08/05 12:49:12 - mmengine - INFO - Epoch(train) [224][560/1879] lr: 1.0000e-04 eta: 7:23:28 time: 0.4320 data_time: 0.0158 memory: 17087 grad_norm: 6.9606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8357 loss: 0.8357 2022/08/05 12:49:20 - mmengine - INFO - Epoch(train) [224][580/1879] lr: 1.0000e-04 eta: 7:23:19 time: 0.4345 data_time: 0.0136 memory: 17087 grad_norm: 6.6902 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7233 loss: 0.7233 2022/08/05 12:49:29 - mmengine - INFO - Epoch(train) [224][600/1879] lr: 1.0000e-04 eta: 7:23:10 time: 0.4318 data_time: 0.0169 memory: 17087 grad_norm: 7.3185 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9093 loss: 0.9093 2022/08/05 12:49:38 - mmengine - INFO - Epoch(train) [224][620/1879] lr: 1.0000e-04 eta: 7:23:02 time: 0.4516 data_time: 0.0146 memory: 17087 grad_norm: 7.2069 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7455 loss: 0.7455 2022/08/05 12:49:47 - mmengine - INFO - Epoch(train) [224][640/1879] lr: 1.0000e-04 eta: 7:22:53 time: 0.4375 data_time: 0.0189 memory: 17087 grad_norm: 7.3049 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 1.0716 loss: 1.0716 2022/08/05 12:49:55 - mmengine - INFO - Epoch(train) [224][660/1879] lr: 1.0000e-04 eta: 7:22:44 time: 0.4302 data_time: 0.0151 memory: 17087 grad_norm: 7.1530 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9754 loss: 0.9754 2022/08/05 12:50:04 - mmengine - INFO - Epoch(train) [224][680/1879] lr: 1.0000e-04 eta: 7:22:36 time: 0.4467 data_time: 0.0172 memory: 17087 grad_norm: 7.1315 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7348 loss: 0.7348 2022/08/05 12:50:13 - mmengine - INFO - Epoch(train) [224][700/1879] lr: 1.0000e-04 eta: 7:22:27 time: 0.4297 data_time: 0.0147 memory: 17087 grad_norm: 7.2538 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9266 loss: 0.9266 2022/08/05 12:50:22 - mmengine - INFO - Epoch(train) [224][720/1879] lr: 1.0000e-04 eta: 7:22:19 time: 0.4391 data_time: 0.0213 memory: 17087 grad_norm: 7.2783 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7714 loss: 0.7714 2022/08/05 12:50:30 - mmengine - INFO - Epoch(train) [224][740/1879] lr: 1.0000e-04 eta: 7:22:10 time: 0.4311 data_time: 0.0151 memory: 17087 grad_norm: 7.2780 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7789 loss: 0.7789 2022/08/05 12:50:39 - mmengine - INFO - Epoch(train) [224][760/1879] lr: 1.0000e-04 eta: 7:22:01 time: 0.4315 data_time: 0.0168 memory: 17087 grad_norm: 7.1890 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8058 loss: 0.8058 2022/08/05 12:50:48 - mmengine - INFO - Epoch(train) [224][780/1879] lr: 1.0000e-04 eta: 7:21:53 time: 0.4333 data_time: 0.0146 memory: 17087 grad_norm: 6.8686 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8000 loss: 0.8000 2022/08/05 12:50:56 - mmengine - INFO - Epoch(train) [224][800/1879] lr: 1.0000e-04 eta: 7:21:44 time: 0.4323 data_time: 0.0163 memory: 17087 grad_norm: 6.9316 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 1.0817 loss: 1.0817 2022/08/05 12:51:05 - mmengine - INFO - Epoch(train) [224][820/1879] lr: 1.0000e-04 eta: 7:21:35 time: 0.4520 data_time: 0.0162 memory: 17087 grad_norm: 7.2038 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 1.0865 loss: 1.0865 2022/08/05 12:51:14 - mmengine - INFO - Epoch(train) [224][840/1879] lr: 1.0000e-04 eta: 7:21:27 time: 0.4350 data_time: 0.0179 memory: 17087 grad_norm: 7.0457 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7750 loss: 0.7750 2022/08/05 12:51:23 - mmengine - INFO - Epoch(train) [224][860/1879] lr: 1.0000e-04 eta: 7:21:18 time: 0.4377 data_time: 0.0146 memory: 17087 grad_norm: 7.4208 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7608 loss: 0.7608 2022/08/05 12:51:32 - mmengine - INFO - Epoch(train) [224][880/1879] lr: 1.0000e-04 eta: 7:21:09 time: 0.4336 data_time: 0.0172 memory: 17087 grad_norm: 7.1640 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8331 loss: 0.8331 2022/08/05 12:51:40 - mmengine - INFO - Epoch(train) [224][900/1879] lr: 1.0000e-04 eta: 7:21:01 time: 0.4288 data_time: 0.0143 memory: 17087 grad_norm: 7.2362 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7602 loss: 0.7602 2022/08/05 12:51:49 - mmengine - INFO - Epoch(train) [224][920/1879] lr: 1.0000e-04 eta: 7:20:52 time: 0.4526 data_time: 0.0167 memory: 17087 grad_norm: 7.1970 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8429 loss: 0.8429 2022/08/05 12:51:58 - mmengine - INFO - Epoch(train) [224][940/1879] lr: 1.0000e-04 eta: 7:20:43 time: 0.4319 data_time: 0.0145 memory: 17087 grad_norm: 7.0394 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9559 loss: 0.9559 2022/08/05 12:52:07 - mmengine - INFO - Epoch(train) [224][960/1879] lr: 1.0000e-04 eta: 7:20:35 time: 0.4406 data_time: 0.0228 memory: 17087 grad_norm: 7.1184 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7996 loss: 0.7996 2022/08/05 12:52:16 - mmengine - INFO - Epoch(train) [224][980/1879] lr: 1.0000e-04 eta: 7:20:26 time: 0.4359 data_time: 0.0133 memory: 17087 grad_norm: 7.2162 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8654 loss: 0.8654 2022/08/05 12:52:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:52:24 - mmengine - INFO - Epoch(train) [224][1000/1879] lr: 1.0000e-04 eta: 7:20:17 time: 0.4418 data_time: 0.0207 memory: 17087 grad_norm: 7.4980 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8962 loss: 0.8962 2022/08/05 12:52:33 - mmengine - INFO - Epoch(train) [224][1020/1879] lr: 1.0000e-04 eta: 7:20:09 time: 0.4315 data_time: 0.0128 memory: 17087 grad_norm: 7.1107 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7987 loss: 0.7987 2022/08/05 12:52:42 - mmengine - INFO - Epoch(train) [224][1040/1879] lr: 1.0000e-04 eta: 7:20:00 time: 0.4385 data_time: 0.0175 memory: 17087 grad_norm: 7.1568 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8682 loss: 0.8682 2022/08/05 12:52:51 - mmengine - INFO - Epoch(train) [224][1060/1879] lr: 1.0000e-04 eta: 7:19:52 time: 0.4513 data_time: 0.0156 memory: 17087 grad_norm: 7.1193 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8944 loss: 0.8944 2022/08/05 12:53:00 - mmengine - INFO - Epoch(train) [224][1080/1879] lr: 1.0000e-04 eta: 7:19:43 time: 0.4323 data_time: 0.0161 memory: 17087 grad_norm: 7.3448 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7331 loss: 0.7331 2022/08/05 12:53:09 - mmengine - INFO - Epoch(train) [224][1100/1879] lr: 1.0000e-04 eta: 7:19:34 time: 0.4565 data_time: 0.0201 memory: 17087 grad_norm: 7.1002 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8372 loss: 0.8372 2022/08/05 12:53:18 - mmengine - INFO - Epoch(train) [224][1120/1879] lr: 1.0000e-04 eta: 7:19:26 time: 0.4328 data_time: 0.0162 memory: 17087 grad_norm: 7.0987 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7432 loss: 0.7432 2022/08/05 12:53:26 - mmengine - INFO - Epoch(train) [224][1140/1879] lr: 1.0000e-04 eta: 7:19:17 time: 0.4380 data_time: 0.0201 memory: 17087 grad_norm: 6.8860 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0507 loss: 1.0507 2022/08/05 12:53:35 - mmengine - INFO - Epoch(train) [224][1160/1879] lr: 1.0000e-04 eta: 7:19:08 time: 0.4510 data_time: 0.0195 memory: 17087 grad_norm: 7.1381 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8400 loss: 0.8400 2022/08/05 12:53:44 - mmengine - INFO - Epoch(train) [224][1180/1879] lr: 1.0000e-04 eta: 7:19:00 time: 0.4303 data_time: 0.0137 memory: 17087 grad_norm: 6.8680 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7011 loss: 0.7011 2022/08/05 12:53:53 - mmengine - INFO - Epoch(train) [224][1200/1879] lr: 1.0000e-04 eta: 7:18:51 time: 0.4378 data_time: 0.0218 memory: 17087 grad_norm: 7.0976 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7837 loss: 0.7837 2022/08/05 12:54:01 - mmengine - INFO - Epoch(train) [224][1220/1879] lr: 1.0000e-04 eta: 7:18:42 time: 0.4300 data_time: 0.0148 memory: 17087 grad_norm: 7.0170 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8176 loss: 0.8176 2022/08/05 12:54:10 - mmengine - INFO - Epoch(train) [224][1240/1879] lr: 1.0000e-04 eta: 7:18:34 time: 0.4299 data_time: 0.0165 memory: 17087 grad_norm: 7.0620 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8667 loss: 0.8667 2022/08/05 12:54:19 - mmengine - INFO - Epoch(train) [224][1260/1879] lr: 1.0000e-04 eta: 7:18:25 time: 0.4330 data_time: 0.0145 memory: 17087 grad_norm: 7.2323 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8697 loss: 0.8697 2022/08/05 12:54:27 - mmengine - INFO - Epoch(train) [224][1280/1879] lr: 1.0000e-04 eta: 7:18:16 time: 0.4321 data_time: 0.0167 memory: 17087 grad_norm: 7.1245 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7881 loss: 0.7881 2022/08/05 12:54:36 - mmengine - INFO - Epoch(train) [224][1300/1879] lr: 1.0000e-04 eta: 7:18:08 time: 0.4325 data_time: 0.0151 memory: 17087 grad_norm: 7.0057 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7450 loss: 0.7450 2022/08/05 12:54:45 - mmengine - INFO - Epoch(train) [224][1320/1879] lr: 1.0000e-04 eta: 7:17:59 time: 0.4334 data_time: 0.0180 memory: 17087 grad_norm: 7.1949 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7583 loss: 0.7583 2022/08/05 12:54:53 - mmengine - INFO - Epoch(train) [224][1340/1879] lr: 1.0000e-04 eta: 7:17:50 time: 0.4346 data_time: 0.0157 memory: 17087 grad_norm: 7.2015 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7692 loss: 0.7692 2022/08/05 12:55:02 - mmengine - INFO - Epoch(train) [224][1360/1879] lr: 1.0000e-04 eta: 7:17:42 time: 0.4351 data_time: 0.0175 memory: 17087 grad_norm: 7.1455 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8336 loss: 0.8336 2022/08/05 12:55:11 - mmengine - INFO - Epoch(train) [224][1380/1879] lr: 1.0000e-04 eta: 7:17:33 time: 0.4327 data_time: 0.0144 memory: 17087 grad_norm: 7.1854 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8530 loss: 0.8530 2022/08/05 12:55:19 - mmengine - INFO - Epoch(train) [224][1400/1879] lr: 1.0000e-04 eta: 7:17:24 time: 0.4315 data_time: 0.0174 memory: 17087 grad_norm: 7.1577 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7597 loss: 0.7597 2022/08/05 12:55:28 - mmengine - INFO - Epoch(train) [224][1420/1879] lr: 1.0000e-04 eta: 7:17:16 time: 0.4324 data_time: 0.0144 memory: 17087 grad_norm: 6.8002 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9338 loss: 0.9338 2022/08/05 12:55:37 - mmengine - INFO - Epoch(train) [224][1440/1879] lr: 1.0000e-04 eta: 7:17:07 time: 0.4490 data_time: 0.0166 memory: 17087 grad_norm: 7.0899 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6817 loss: 0.6817 2022/08/05 12:55:46 - mmengine - INFO - Epoch(train) [224][1460/1879] lr: 1.0000e-04 eta: 7:16:59 time: 0.4415 data_time: 0.0167 memory: 17087 grad_norm: 7.0134 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7501 loss: 0.7501 2022/08/05 12:55:55 - mmengine - INFO - Epoch(train) [224][1480/1879] lr: 1.0000e-04 eta: 7:16:50 time: 0.4422 data_time: 0.0168 memory: 17087 grad_norm: 7.2911 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7770 loss: 0.7770 2022/08/05 12:56:04 - mmengine - INFO - Epoch(train) [224][1500/1879] lr: 1.0000e-04 eta: 7:16:41 time: 0.4348 data_time: 0.0159 memory: 17087 grad_norm: 6.8460 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0316 loss: 1.0316 2022/08/05 12:56:12 - mmengine - INFO - Epoch(train) [224][1520/1879] lr: 1.0000e-04 eta: 7:16:33 time: 0.4314 data_time: 0.0157 memory: 17087 grad_norm: 7.0391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9147 loss: 0.9147 2022/08/05 12:56:21 - mmengine - INFO - Epoch(train) [224][1540/1879] lr: 1.0000e-04 eta: 7:16:24 time: 0.4309 data_time: 0.0152 memory: 17087 grad_norm: 6.9106 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8604 loss: 0.8604 2022/08/05 12:56:30 - mmengine - INFO - Epoch(train) [224][1560/1879] lr: 1.0000e-04 eta: 7:16:15 time: 0.4361 data_time: 0.0170 memory: 17087 grad_norm: 6.9989 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8004 loss: 0.8004 2022/08/05 12:56:38 - mmengine - INFO - Epoch(train) [224][1580/1879] lr: 1.0000e-04 eta: 7:16:07 time: 0.4385 data_time: 0.0133 memory: 17087 grad_norm: 7.2984 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7871 loss: 0.7871 2022/08/05 12:56:47 - mmengine - INFO - Epoch(train) [224][1600/1879] lr: 1.0000e-04 eta: 7:15:58 time: 0.4379 data_time: 0.0221 memory: 17087 grad_norm: 7.1066 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8701 loss: 0.8701 2022/08/05 12:56:56 - mmengine - INFO - Epoch(train) [224][1620/1879] lr: 1.0000e-04 eta: 7:15:49 time: 0.4296 data_time: 0.0162 memory: 17087 grad_norm: 7.1713 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9078 loss: 0.9078 2022/08/05 12:57:04 - mmengine - INFO - Epoch(train) [224][1640/1879] lr: 1.0000e-04 eta: 7:15:41 time: 0.4317 data_time: 0.0163 memory: 17087 grad_norm: 7.0219 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9186 loss: 0.9186 2022/08/05 12:57:13 - mmengine - INFO - Epoch(train) [224][1660/1879] lr: 1.0000e-04 eta: 7:15:32 time: 0.4322 data_time: 0.0138 memory: 17087 grad_norm: 7.1558 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8250 loss: 0.8250 2022/08/05 12:57:22 - mmengine - INFO - Epoch(train) [224][1680/1879] lr: 1.0000e-04 eta: 7:15:23 time: 0.4335 data_time: 0.0166 memory: 17087 grad_norm: 7.1169 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7847 loss: 0.7847 2022/08/05 12:57:31 - mmengine - INFO - Epoch(train) [224][1700/1879] lr: 1.0000e-04 eta: 7:15:15 time: 0.4463 data_time: 0.0162 memory: 17087 grad_norm: 7.0095 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8173 loss: 0.8173 2022/08/05 12:57:40 - mmengine - INFO - Epoch(train) [224][1720/1879] lr: 1.0000e-04 eta: 7:15:06 time: 0.4414 data_time: 0.0166 memory: 17087 grad_norm: 7.3976 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8765 loss: 0.8765 2022/08/05 12:57:48 - mmengine - INFO - Epoch(train) [224][1740/1879] lr: 1.0000e-04 eta: 7:14:57 time: 0.4353 data_time: 0.0145 memory: 17087 grad_norm: 7.2673 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7561 loss: 0.7561 2022/08/05 12:57:57 - mmengine - INFO - Epoch(train) [224][1760/1879] lr: 1.0000e-04 eta: 7:14:49 time: 0.4531 data_time: 0.0226 memory: 17087 grad_norm: 7.2207 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7578 loss: 0.7578 2022/08/05 12:58:06 - mmengine - INFO - Epoch(train) [224][1780/1879] lr: 1.0000e-04 eta: 7:14:40 time: 0.4344 data_time: 0.0141 memory: 17087 grad_norm: 7.4077 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8907 loss: 0.8907 2022/08/05 12:58:15 - mmengine - INFO - Epoch(train) [224][1800/1879] lr: 1.0000e-04 eta: 7:14:31 time: 0.4342 data_time: 0.0180 memory: 17087 grad_norm: 7.0371 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8110 loss: 0.8110 2022/08/05 12:58:24 - mmengine - INFO - Epoch(train) [224][1820/1879] lr: 1.0000e-04 eta: 7:14:23 time: 0.4332 data_time: 0.0174 memory: 17087 grad_norm: 7.0159 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6648 loss: 0.6648 2022/08/05 12:58:32 - mmengine - INFO - Epoch(train) [224][1840/1879] lr: 1.0000e-04 eta: 7:14:14 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 7.2909 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8857 loss: 0.8857 2022/08/05 12:58:41 - mmengine - INFO - Epoch(train) [224][1860/1879] lr: 1.0000e-04 eta: 7:14:06 time: 0.4458 data_time: 0.0162 memory: 17087 grad_norm: 7.0243 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7217 loss: 0.7217 2022/08/05 12:58:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:58:49 - mmengine - INFO - Epoch(train) [224][1879/1879] lr: 1.0000e-04 eta: 7:14:06 time: 0.4106 data_time: 0.0144 memory: 17087 grad_norm: 6.9946 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7870 loss: 0.7870 2022/08/05 12:58:49 - mmengine - INFO - Saving checkpoint at 224 epochs 2022/08/05 12:59:03 - mmengine - INFO - Epoch(train) [225][20/1879] lr: 1.0000e-04 eta: 7:13:48 time: 0.5162 data_time: 0.0995 memory: 17087 grad_norm: 7.0019 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8471 loss: 0.8471 2022/08/05 12:59:12 - mmengine - INFO - Epoch(train) [225][40/1879] lr: 1.0000e-04 eta: 7:13:39 time: 0.4338 data_time: 0.0180 memory: 17087 grad_norm: 6.9893 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7462 loss: 0.7462 2022/08/05 12:59:21 - mmengine - INFO - Epoch(train) [225][60/1879] lr: 1.0000e-04 eta: 7:13:30 time: 0.4290 data_time: 0.0134 memory: 17087 grad_norm: 7.1318 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8786 loss: 0.8786 2022/08/05 12:59:29 - mmengine - INFO - Epoch(train) [225][80/1879] lr: 1.0000e-04 eta: 7:13:22 time: 0.4363 data_time: 0.0170 memory: 17087 grad_norm: 7.0369 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6786 loss: 0.6786 2022/08/05 12:59:38 - mmengine - INFO - Epoch(train) [225][100/1879] lr: 1.0000e-04 eta: 7:13:13 time: 0.4303 data_time: 0.0146 memory: 17087 grad_norm: 7.1324 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7060 loss: 0.7060 2022/08/05 12:59:40 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 12:59:47 - mmengine - INFO - Epoch(train) [225][120/1879] lr: 1.0000e-04 eta: 7:13:04 time: 0.4381 data_time: 0.0175 memory: 17087 grad_norm: 6.9981 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0068 loss: 1.0068 2022/08/05 12:59:55 - mmengine - INFO - Epoch(train) [225][140/1879] lr: 1.0000e-04 eta: 7:12:56 time: 0.4301 data_time: 0.0148 memory: 17087 grad_norm: 7.0386 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9365 loss: 0.9365 2022/08/05 13:00:04 - mmengine - INFO - Epoch(train) [225][160/1879] lr: 1.0000e-04 eta: 7:12:47 time: 0.4335 data_time: 0.0181 memory: 17087 grad_norm: 7.1351 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7942 loss: 0.7942 2022/08/05 13:00:13 - mmengine - INFO - Epoch(train) [225][180/1879] lr: 1.0000e-04 eta: 7:12:38 time: 0.4360 data_time: 0.0142 memory: 17087 grad_norm: 7.1638 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7048 loss: 0.7048 2022/08/05 13:00:22 - mmengine - INFO - Epoch(train) [225][200/1879] lr: 1.0000e-04 eta: 7:12:30 time: 0.4337 data_time: 0.0170 memory: 17087 grad_norm: 6.9411 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8047 loss: 0.8047 2022/08/05 13:00:30 - mmengine - INFO - Epoch(train) [225][220/1879] lr: 1.0000e-04 eta: 7:12:21 time: 0.4358 data_time: 0.0160 memory: 17087 grad_norm: 7.2728 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8557 loss: 0.8557 2022/08/05 13:00:39 - mmengine - INFO - Epoch(train) [225][240/1879] lr: 1.0000e-04 eta: 7:12:12 time: 0.4332 data_time: 0.0162 memory: 17087 grad_norm: 7.2813 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9300 loss: 0.9300 2022/08/05 13:00:48 - mmengine - INFO - Epoch(train) [225][260/1879] lr: 1.0000e-04 eta: 7:12:04 time: 0.4360 data_time: 0.0153 memory: 17087 grad_norm: 6.9645 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6537 loss: 0.6537 2022/08/05 13:00:57 - mmengine - INFO - Epoch(train) [225][280/1879] lr: 1.0000e-04 eta: 7:11:55 time: 0.4450 data_time: 0.0174 memory: 17087 grad_norm: 7.0699 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8367 loss: 0.8367 2022/08/05 13:01:05 - mmengine - INFO - Epoch(train) [225][300/1879] lr: 1.0000e-04 eta: 7:11:47 time: 0.4318 data_time: 0.0160 memory: 17087 grad_norm: 7.1956 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7415 loss: 0.7415 2022/08/05 13:01:14 - mmengine - INFO - Epoch(train) [225][320/1879] lr: 1.0000e-04 eta: 7:11:38 time: 0.4318 data_time: 0.0165 memory: 17087 grad_norm: 7.1267 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9044 loss: 0.9044 2022/08/05 13:01:23 - mmengine - INFO - Epoch(train) [225][340/1879] lr: 1.0000e-04 eta: 7:11:29 time: 0.4323 data_time: 0.0135 memory: 17087 grad_norm: 7.2907 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6490 loss: 0.6490 2022/08/05 13:01:32 - mmengine - INFO - Epoch(train) [225][360/1879] lr: 1.0000e-04 eta: 7:11:21 time: 0.4434 data_time: 0.0164 memory: 17087 grad_norm: 7.0143 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6793 loss: 0.6793 2022/08/05 13:01:40 - mmengine - INFO - Epoch(train) [225][380/1879] lr: 1.0000e-04 eta: 7:11:12 time: 0.4273 data_time: 0.0134 memory: 17087 grad_norm: 7.1708 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7923 loss: 0.7923 2022/08/05 13:01:49 - mmengine - INFO - Epoch(train) [225][400/1879] lr: 1.0000e-04 eta: 7:11:03 time: 0.4332 data_time: 0.0183 memory: 17087 grad_norm: 7.0972 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9140 loss: 0.9140 2022/08/05 13:01:57 - mmengine - INFO - Epoch(train) [225][420/1879] lr: 1.0000e-04 eta: 7:10:55 time: 0.4297 data_time: 0.0144 memory: 17087 grad_norm: 7.3632 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9163 loss: 0.9163 2022/08/05 13:02:06 - mmengine - INFO - Epoch(train) [225][440/1879] lr: 1.0000e-04 eta: 7:10:46 time: 0.4311 data_time: 0.0170 memory: 17087 grad_norm: 7.2267 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9327 loss: 0.9327 2022/08/05 13:02:15 - mmengine - INFO - Epoch(train) [225][460/1879] lr: 1.0000e-04 eta: 7:10:37 time: 0.4503 data_time: 0.0228 memory: 17087 grad_norm: 6.9715 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8082 loss: 0.8082 2022/08/05 13:02:24 - mmengine - INFO - Epoch(train) [225][480/1879] lr: 1.0000e-04 eta: 7:10:29 time: 0.4390 data_time: 0.0216 memory: 17087 grad_norm: 6.9589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7286 loss: 0.7286 2022/08/05 13:02:33 - mmengine - INFO - Epoch(train) [225][500/1879] lr: 1.0000e-04 eta: 7:10:20 time: 0.4307 data_time: 0.0163 memory: 17087 grad_norm: 7.0772 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7077 loss: 0.7077 2022/08/05 13:02:41 - mmengine - INFO - Epoch(train) [225][520/1879] lr: 1.0000e-04 eta: 7:10:11 time: 0.4378 data_time: 0.0161 memory: 17087 grad_norm: 6.9290 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7535 loss: 0.7535 2022/08/05 13:02:50 - mmengine - INFO - Epoch(train) [225][540/1879] lr: 1.0000e-04 eta: 7:10:03 time: 0.4327 data_time: 0.0150 memory: 17087 grad_norm: 6.9186 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7430 loss: 0.7430 2022/08/05 13:02:59 - mmengine - INFO - Epoch(train) [225][560/1879] lr: 1.0000e-04 eta: 7:09:54 time: 0.4340 data_time: 0.0175 memory: 17087 grad_norm: 7.1069 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8275 loss: 0.8275 2022/08/05 13:03:08 - mmengine - INFO - Epoch(train) [225][580/1879] lr: 1.0000e-04 eta: 7:09:45 time: 0.4441 data_time: 0.0159 memory: 17087 grad_norm: 7.3158 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7796 loss: 0.7796 2022/08/05 13:03:16 - mmengine - INFO - Epoch(train) [225][600/1879] lr: 1.0000e-04 eta: 7:09:37 time: 0.4319 data_time: 0.0166 memory: 17087 grad_norm: 7.0960 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9004 loss: 0.9004 2022/08/05 13:03:25 - mmengine - INFO - Epoch(train) [225][620/1879] lr: 1.0000e-04 eta: 7:09:28 time: 0.4426 data_time: 0.0148 memory: 17087 grad_norm: 7.0457 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8848 loss: 0.8848 2022/08/05 13:03:34 - mmengine - INFO - Epoch(train) [225][640/1879] lr: 1.0000e-04 eta: 7:09:19 time: 0.4313 data_time: 0.0164 memory: 17087 grad_norm: 7.1638 top1_acc: 0.5000 top5_acc: 0.6875 loss_cls: 0.7734 loss: 0.7734 2022/08/05 13:03:42 - mmengine - INFO - Epoch(train) [225][660/1879] lr: 1.0000e-04 eta: 7:09:11 time: 0.4326 data_time: 0.0159 memory: 17087 grad_norm: 6.9592 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7403 loss: 0.7403 2022/08/05 13:03:51 - mmengine - INFO - Epoch(train) [225][680/1879] lr: 1.0000e-04 eta: 7:09:02 time: 0.4342 data_time: 0.0175 memory: 17087 grad_norm: 6.8231 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8502 loss: 0.8502 2022/08/05 13:04:00 - mmengine - INFO - Epoch(train) [225][700/1879] lr: 1.0000e-04 eta: 7:08:53 time: 0.4309 data_time: 0.0152 memory: 17087 grad_norm: 7.2063 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8035 loss: 0.8035 2022/08/05 13:04:09 - mmengine - INFO - Epoch(train) [225][720/1879] lr: 1.0000e-04 eta: 7:08:45 time: 0.4430 data_time: 0.0173 memory: 17087 grad_norm: 7.0785 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8104 loss: 0.8104 2022/08/05 13:04:17 - mmengine - INFO - Epoch(train) [225][740/1879] lr: 1.0000e-04 eta: 7:08:36 time: 0.4327 data_time: 0.0149 memory: 17087 grad_norm: 6.8764 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8717 loss: 0.8717 2022/08/05 13:04:27 - mmengine - INFO - Epoch(train) [225][760/1879] lr: 1.0000e-04 eta: 7:08:28 time: 0.4548 data_time: 0.0187 memory: 17087 grad_norm: 7.2284 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9599 loss: 0.9599 2022/08/05 13:04:35 - mmengine - INFO - Epoch(train) [225][780/1879] lr: 1.0000e-04 eta: 7:08:19 time: 0.4319 data_time: 0.0157 memory: 17087 grad_norm: 7.0229 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9054 loss: 0.9054 2022/08/05 13:04:44 - mmengine - INFO - Epoch(train) [225][800/1879] lr: 1.0000e-04 eta: 7:08:10 time: 0.4423 data_time: 0.0169 memory: 17087 grad_norm: 7.0986 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8579 loss: 0.8579 2022/08/05 13:04:53 - mmengine - INFO - Epoch(train) [225][820/1879] lr: 1.0000e-04 eta: 7:08:02 time: 0.4302 data_time: 0.0154 memory: 17087 grad_norm: 6.9910 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8114 loss: 0.8114 2022/08/05 13:05:01 - mmengine - INFO - Epoch(train) [225][840/1879] lr: 1.0000e-04 eta: 7:07:53 time: 0.4320 data_time: 0.0165 memory: 17087 grad_norm: 7.3228 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8971 loss: 0.8971 2022/08/05 13:05:10 - mmengine - INFO - Epoch(train) [225][860/1879] lr: 1.0000e-04 eta: 7:07:44 time: 0.4312 data_time: 0.0147 memory: 17087 grad_norm: 7.0205 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7260 loss: 0.7260 2022/08/05 13:05:19 - mmengine - INFO - Epoch(train) [225][880/1879] lr: 1.0000e-04 eta: 7:07:36 time: 0.4320 data_time: 0.0165 memory: 17087 grad_norm: 7.3030 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8565 loss: 0.8565 2022/08/05 13:05:28 - mmengine - INFO - Epoch(train) [225][900/1879] lr: 1.0000e-04 eta: 7:07:27 time: 0.4475 data_time: 0.0165 memory: 17087 grad_norm: 6.9183 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8765 loss: 0.8765 2022/08/05 13:05:36 - mmengine - INFO - Epoch(train) [225][920/1879] lr: 1.0000e-04 eta: 7:07:18 time: 0.4338 data_time: 0.0169 memory: 17087 grad_norm: 6.8481 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6677 loss: 0.6677 2022/08/05 13:05:45 - mmengine - INFO - Epoch(train) [225][940/1879] lr: 1.0000e-04 eta: 7:07:10 time: 0.4330 data_time: 0.0154 memory: 17087 grad_norm: 6.7688 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7453 loss: 0.7453 2022/08/05 13:05:54 - mmengine - INFO - Epoch(train) [225][960/1879] lr: 1.0000e-04 eta: 7:07:01 time: 0.4338 data_time: 0.0190 memory: 17087 grad_norm: 7.1846 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8624 loss: 0.8624 2022/08/05 13:06:02 - mmengine - INFO - Epoch(train) [225][980/1879] lr: 1.0000e-04 eta: 7:06:52 time: 0.4301 data_time: 0.0142 memory: 17087 grad_norm: 7.2870 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7606 loss: 0.7606 2022/08/05 13:06:11 - mmengine - INFO - Epoch(train) [225][1000/1879] lr: 1.0000e-04 eta: 7:06:44 time: 0.4374 data_time: 0.0168 memory: 17087 grad_norm: 7.4108 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8722 loss: 0.8722 2022/08/05 13:06:20 - mmengine - INFO - Epoch(train) [225][1020/1879] lr: 1.0000e-04 eta: 7:06:35 time: 0.4316 data_time: 0.0159 memory: 17087 grad_norm: 6.8741 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7138 loss: 0.7138 2022/08/05 13:06:28 - mmengine - INFO - Epoch(train) [225][1040/1879] lr: 1.0000e-04 eta: 7:06:26 time: 0.4316 data_time: 0.0155 memory: 17087 grad_norm: 7.3445 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8707 loss: 0.8707 2022/08/05 13:06:37 - mmengine - INFO - Epoch(train) [225][1060/1879] lr: 1.0000e-04 eta: 7:06:18 time: 0.4515 data_time: 0.0156 memory: 17087 grad_norm: 6.7368 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8860 loss: 0.8860 2022/08/05 13:06:46 - mmengine - INFO - Epoch(train) [225][1080/1879] lr: 1.0000e-04 eta: 7:06:09 time: 0.4352 data_time: 0.0168 memory: 17087 grad_norm: 7.0846 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7675 loss: 0.7675 2022/08/05 13:06:55 - mmengine - INFO - Epoch(train) [225][1100/1879] lr: 1.0000e-04 eta: 7:06:00 time: 0.4405 data_time: 0.0153 memory: 17087 grad_norm: 7.0456 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9503 loss: 0.9503 2022/08/05 13:06:57 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 13:07:04 - mmengine - INFO - Epoch(train) [225][1120/1879] lr: 1.0000e-04 eta: 7:05:52 time: 0.4331 data_time: 0.0190 memory: 17087 grad_norm: 6.8815 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7999 loss: 0.7999 2022/08/05 13:07:12 - mmengine - INFO - Epoch(train) [225][1140/1879] lr: 1.0000e-04 eta: 7:05:43 time: 0.4331 data_time: 0.0192 memory: 17087 grad_norm: 6.9293 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7181 loss: 0.7181 2022/08/05 13:07:21 - mmengine - INFO - Epoch(train) [225][1160/1879] lr: 1.0000e-04 eta: 7:05:34 time: 0.4337 data_time: 0.0183 memory: 17087 grad_norm: 7.1535 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.9013 loss: 0.9013 2022/08/05 13:07:30 - mmengine - INFO - Epoch(train) [225][1180/1879] lr: 1.0000e-04 eta: 7:05:26 time: 0.4302 data_time: 0.0145 memory: 17087 grad_norm: 6.7888 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8544 loss: 0.8544 2022/08/05 13:07:39 - mmengine - INFO - Epoch(train) [225][1200/1879] lr: 1.0000e-04 eta: 7:05:17 time: 0.4542 data_time: 0.0168 memory: 17087 grad_norm: 7.3848 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7842 loss: 0.7842 2022/08/05 13:07:47 - mmengine - INFO - Epoch(train) [225][1220/1879] lr: 1.0000e-04 eta: 7:05:09 time: 0.4319 data_time: 0.0146 memory: 17087 grad_norm: 7.0322 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.9047 loss: 0.9047 2022/08/05 13:07:56 - mmengine - INFO - Epoch(train) [225][1240/1879] lr: 1.0000e-04 eta: 7:05:00 time: 0.4344 data_time: 0.0185 memory: 17087 grad_norm: 6.8513 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6757 loss: 0.6757 2022/08/05 13:08:05 - mmengine - INFO - Epoch(train) [225][1260/1879] lr: 1.0000e-04 eta: 7:04:51 time: 0.4309 data_time: 0.0180 memory: 17087 grad_norm: 7.0974 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7845 loss: 0.7845 2022/08/05 13:08:14 - mmengine - INFO - Epoch(train) [225][1280/1879] lr: 1.0000e-04 eta: 7:04:43 time: 0.4516 data_time: 0.0163 memory: 17087 grad_norm: 7.0097 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7863 loss: 0.7863 2022/08/05 13:08:23 - mmengine - INFO - Epoch(train) [225][1300/1879] lr: 1.0000e-04 eta: 7:04:34 time: 0.4339 data_time: 0.0136 memory: 17087 grad_norm: 6.9213 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6927 loss: 0.6927 2022/08/05 13:08:31 - mmengine - INFO - Epoch(train) [225][1320/1879] lr: 1.0000e-04 eta: 7:04:25 time: 0.4309 data_time: 0.0157 memory: 17087 grad_norm: 6.8880 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8733 loss: 0.8733 2022/08/05 13:08:40 - mmengine - INFO - Epoch(train) [225][1340/1879] lr: 1.0000e-04 eta: 7:04:17 time: 0.4313 data_time: 0.0153 memory: 17087 grad_norm: 7.0238 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8442 loss: 0.8442 2022/08/05 13:08:49 - mmengine - INFO - Epoch(train) [225][1360/1879] lr: 1.0000e-04 eta: 7:04:08 time: 0.4317 data_time: 0.0166 memory: 17087 grad_norm: 7.1516 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7973 loss: 0.7973 2022/08/05 13:08:58 - mmengine - INFO - Epoch(train) [225][1380/1879] lr: 1.0000e-04 eta: 7:03:59 time: 0.4519 data_time: 0.0134 memory: 17087 grad_norm: 6.8242 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8546 loss: 0.8546 2022/08/05 13:09:06 - mmengine - INFO - Epoch(train) [225][1400/1879] lr: 1.0000e-04 eta: 7:03:51 time: 0.4303 data_time: 0.0164 memory: 17087 grad_norm: 7.0208 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9071 loss: 0.9071 2022/08/05 13:09:15 - mmengine - INFO - Epoch(train) [225][1420/1879] lr: 1.0000e-04 eta: 7:03:42 time: 0.4549 data_time: 0.0154 memory: 17087 grad_norm: 7.2232 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6789 loss: 0.6789 2022/08/05 13:09:24 - mmengine - INFO - Epoch(train) [225][1440/1879] lr: 1.0000e-04 eta: 7:03:33 time: 0.4354 data_time: 0.0199 memory: 17087 grad_norm: 7.1980 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9410 loss: 0.9410 2022/08/05 13:09:33 - mmengine - INFO - Epoch(train) [225][1460/1879] lr: 1.0000e-04 eta: 7:03:25 time: 0.4311 data_time: 0.0157 memory: 17087 grad_norm: 7.2389 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8936 loss: 0.8936 2022/08/05 13:09:41 - mmengine - INFO - Epoch(train) [225][1480/1879] lr: 1.0000e-04 eta: 7:03:16 time: 0.4314 data_time: 0.0169 memory: 17087 grad_norm: 6.9787 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7251 loss: 0.7251 2022/08/05 13:09:50 - mmengine - INFO - Epoch(train) [225][1500/1879] lr: 1.0000e-04 eta: 7:03:07 time: 0.4307 data_time: 0.0147 memory: 17087 grad_norm: 7.0584 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8057 loss: 0.8057 2022/08/05 13:09:59 - mmengine - INFO - Epoch(train) [225][1520/1879] lr: 1.0000e-04 eta: 7:02:59 time: 0.4338 data_time: 0.0170 memory: 17087 grad_norm: 7.2546 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8713 loss: 0.8713 2022/08/05 13:10:08 - mmengine - INFO - Epoch(train) [225][1540/1879] lr: 1.0000e-04 eta: 7:02:50 time: 0.4466 data_time: 0.0150 memory: 17087 grad_norm: 6.7316 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7065 loss: 0.7065 2022/08/05 13:10:16 - mmengine - INFO - Epoch(train) [225][1560/1879] lr: 1.0000e-04 eta: 7:02:41 time: 0.4311 data_time: 0.0162 memory: 17087 grad_norm: 7.0846 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7213 loss: 0.7213 2022/08/05 13:10:25 - mmengine - INFO - Epoch(train) [225][1580/1879] lr: 1.0000e-04 eta: 7:02:33 time: 0.4411 data_time: 0.0147 memory: 17087 grad_norm: 7.2849 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9327 loss: 0.9327 2022/08/05 13:10:34 - mmengine - INFO - Epoch(train) [225][1600/1879] lr: 1.0000e-04 eta: 7:02:24 time: 0.4328 data_time: 0.0163 memory: 17087 grad_norm: 6.9635 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7555 loss: 0.7555 2022/08/05 13:10:42 - mmengine - INFO - Epoch(train) [225][1620/1879] lr: 1.0000e-04 eta: 7:02:15 time: 0.4291 data_time: 0.0139 memory: 17087 grad_norm: 7.0917 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7323 loss: 0.7323 2022/08/05 13:10:51 - mmengine - INFO - Epoch(train) [225][1640/1879] lr: 1.0000e-04 eta: 7:02:07 time: 0.4338 data_time: 0.0176 memory: 17087 grad_norm: 7.0028 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8507 loss: 0.8507 2022/08/05 13:11:00 - mmengine - INFO - Epoch(train) [225][1660/1879] lr: 1.0000e-04 eta: 7:01:58 time: 0.4403 data_time: 0.0155 memory: 17087 grad_norm: 7.1102 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7882 loss: 0.7882 2022/08/05 13:11:09 - mmengine - INFO - Epoch(train) [225][1680/1879] lr: 1.0000e-04 eta: 7:01:50 time: 0.4355 data_time: 0.0173 memory: 17087 grad_norm: 7.1708 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8208 loss: 0.8208 2022/08/05 13:11:17 - mmengine - INFO - Epoch(train) [225][1700/1879] lr: 1.0000e-04 eta: 7:01:41 time: 0.4317 data_time: 0.0164 memory: 17087 grad_norm: 7.2605 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9303 loss: 0.9303 2022/08/05 13:11:26 - mmengine - INFO - Epoch(train) [225][1720/1879] lr: 1.0000e-04 eta: 7:01:32 time: 0.4355 data_time: 0.0173 memory: 17087 grad_norm: 7.0197 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8236 loss: 0.8236 2022/08/05 13:11:35 - mmengine - INFO - Epoch(train) [225][1740/1879] lr: 1.0000e-04 eta: 7:01:24 time: 0.4324 data_time: 0.0136 memory: 17087 grad_norm: 6.8958 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8118 loss: 0.8118 2022/08/05 13:11:43 - mmengine - INFO - Epoch(train) [225][1760/1879] lr: 1.0000e-04 eta: 7:01:15 time: 0.4333 data_time: 0.0165 memory: 17087 grad_norm: 7.0706 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9351 loss: 0.9351 2022/08/05 13:11:52 - mmengine - INFO - Epoch(train) [225][1780/1879] lr: 1.0000e-04 eta: 7:01:06 time: 0.4346 data_time: 0.0166 memory: 17087 grad_norm: 6.9038 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7870 loss: 0.7870 2022/08/05 13:12:01 - mmengine - INFO - Epoch(train) [225][1800/1879] lr: 1.0000e-04 eta: 7:00:58 time: 0.4312 data_time: 0.0158 memory: 17087 grad_norm: 7.0391 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8815 loss: 0.8815 2022/08/05 13:12:10 - mmengine - INFO - Epoch(train) [225][1820/1879] lr: 1.0000e-04 eta: 7:00:49 time: 0.4535 data_time: 0.0143 memory: 17087 grad_norm: 7.0052 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8273 loss: 0.8273 2022/08/05 13:12:19 - mmengine - INFO - Epoch(train) [225][1840/1879] lr: 1.0000e-04 eta: 7:00:40 time: 0.4341 data_time: 0.0167 memory: 17087 grad_norm: 6.9278 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7840 loss: 0.7840 2022/08/05 13:12:27 - mmengine - INFO - Epoch(train) [225][1860/1879] lr: 1.0000e-04 eta: 7:00:32 time: 0.4310 data_time: 0.0151 memory: 17087 grad_norm: 7.3330 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8477 loss: 0.8477 2022/08/05 13:12:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 13:12:35 - mmengine - INFO - Epoch(train) [225][1879/1879] lr: 1.0000e-04 eta: 7:00:32 time: 0.4166 data_time: 0.0151 memory: 17087 grad_norm: 6.8966 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8380 loss: 0.8380 2022/08/05 13:12:43 - mmengine - INFO - Epoch(val) [225][20/155] eta: 0:00:50 time: 0.3738 data_time: 0.2037 memory: 2821 2022/08/05 13:12:48 - mmengine - INFO - Epoch(val) [225][40/155] eta: 0:00:28 time: 0.2518 data_time: 0.0813 memory: 2821 2022/08/05 13:12:54 - mmengine - INFO - Epoch(val) [225][60/155] eta: 0:00:29 time: 0.3148 data_time: 0.1441 memory: 2821 2022/08/05 13:12:59 - mmengine - INFO - Epoch(val) [225][80/155] eta: 0:00:18 time: 0.2442 data_time: 0.0761 memory: 2821 2022/08/05 13:13:06 - mmengine - INFO - Epoch(val) [225][100/155] eta: 0:00:18 time: 0.3283 data_time: 0.1596 memory: 2821 2022/08/05 13:13:11 - mmengine - INFO - Epoch(val) [225][120/155] eta: 0:00:08 time: 0.2534 data_time: 0.0862 memory: 2821 2022/08/05 13:13:17 - mmengine - INFO - Epoch(val) [225][140/155] eta: 0:00:04 time: 0.3029 data_time: 0.1367 memory: 2821 2022/08/05 13:13:22 - mmengine - INFO - Epoch(val) [225][155/155] acc/top1: 0.6966 acc/top5: 0.8805 acc/mean1: 0.6965 2022/08/05 13:13:33 - mmengine - INFO - Epoch(train) [226][20/1879] lr: 1.0000e-04 eta: 7:00:14 time: 0.5629 data_time: 0.1204 memory: 17087 grad_norm: 7.0108 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8406 loss: 0.8406 2022/08/05 13:13:42 - mmengine - INFO - Epoch(train) [226][40/1879] lr: 1.0000e-04 eta: 7:00:05 time: 0.4391 data_time: 0.0229 memory: 17087 grad_norm: 7.3026 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9710 loss: 0.9710 2022/08/05 13:13:51 - mmengine - INFO - Epoch(train) [226][60/1879] lr: 1.0000e-04 eta: 6:59:57 time: 0.4431 data_time: 0.0142 memory: 17087 grad_norm: 7.0354 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8649 loss: 0.8649 2022/08/05 13:14:00 - mmengine - INFO - Epoch(train) [226][80/1879] lr: 1.0000e-04 eta: 6:59:48 time: 0.4358 data_time: 0.0207 memory: 17087 grad_norm: 7.2778 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8647 loss: 0.8647 2022/08/05 13:14:08 - mmengine - INFO - Epoch(train) [226][100/1879] lr: 1.0000e-04 eta: 6:59:39 time: 0.4328 data_time: 0.0147 memory: 17087 grad_norm: 6.9446 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7570 loss: 0.7570 2022/08/05 13:14:17 - mmengine - INFO - Epoch(train) [226][120/1879] lr: 1.0000e-04 eta: 6:59:31 time: 0.4386 data_time: 0.0175 memory: 17087 grad_norm: 7.2201 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1105 loss: 1.1105 2022/08/05 13:14:26 - mmengine - INFO - Epoch(train) [226][140/1879] lr: 1.0000e-04 eta: 6:59:22 time: 0.4374 data_time: 0.0209 memory: 17087 grad_norm: 6.7007 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8339 loss: 0.8339 2022/08/05 13:14:35 - mmengine - INFO - Epoch(train) [226][160/1879] lr: 1.0000e-04 eta: 6:59:13 time: 0.4347 data_time: 0.0174 memory: 17087 grad_norm: 7.3771 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7673 loss: 0.7673 2022/08/05 13:14:43 - mmengine - INFO - Epoch(train) [226][180/1879] lr: 1.0000e-04 eta: 6:59:05 time: 0.4285 data_time: 0.0131 memory: 17087 grad_norm: 7.2904 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6996 loss: 0.6996 2022/08/05 13:14:52 - mmengine - INFO - Epoch(train) [226][200/1879] lr: 1.0000e-04 eta: 6:58:56 time: 0.4328 data_time: 0.0173 memory: 17087 grad_norm: 7.1286 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7887 loss: 0.7887 2022/08/05 13:15:01 - mmengine - INFO - Epoch(train) [226][220/1879] lr: 1.0000e-04 eta: 6:58:47 time: 0.4317 data_time: 0.0167 memory: 17087 grad_norm: 6.9154 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7537 loss: 0.7537 2022/08/05 13:15:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 13:15:09 - mmengine - INFO - Epoch(train) [226][240/1879] lr: 1.0000e-04 eta: 6:58:39 time: 0.4372 data_time: 0.0193 memory: 17087 grad_norm: 6.9189 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7188 loss: 0.7188 2022/08/05 13:15:18 - mmengine - INFO - Epoch(train) [226][260/1879] lr: 1.0000e-04 eta: 6:58:30 time: 0.4463 data_time: 0.0172 memory: 17087 grad_norm: 7.1142 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8152 loss: 0.8152 2022/08/05 13:15:27 - mmengine - INFO - Epoch(train) [226][280/1879] lr: 1.0000e-04 eta: 6:58:21 time: 0.4308 data_time: 0.0168 memory: 17087 grad_norm: 7.1204 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7699 loss: 0.7699 2022/08/05 13:15:36 - mmengine - INFO - Epoch(train) [226][300/1879] lr: 1.0000e-04 eta: 6:58:13 time: 0.4519 data_time: 0.0222 memory: 17087 grad_norm: 7.0722 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8825 loss: 0.8825 2022/08/05 13:15:45 - mmengine - INFO - Epoch(train) [226][320/1879] lr: 1.0000e-04 eta: 6:58:04 time: 0.4335 data_time: 0.0163 memory: 17087 grad_norm: 7.2189 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8659 loss: 0.8659 2022/08/05 13:15:53 - mmengine - INFO - Epoch(train) [226][340/1879] lr: 1.0000e-04 eta: 6:57:56 time: 0.4321 data_time: 0.0151 memory: 17087 grad_norm: 7.3399 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7983 loss: 0.7983 2022/08/05 13:16:02 - mmengine - INFO - Epoch(train) [226][360/1879] lr: 1.0000e-04 eta: 6:57:47 time: 0.4381 data_time: 0.0189 memory: 17087 grad_norm: 6.8136 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7272 loss: 0.7272 2022/08/05 13:16:11 - mmengine - INFO - Epoch(train) [226][380/1879] lr: 1.0000e-04 eta: 6:57:38 time: 0.4380 data_time: 0.0176 memory: 17087 grad_norm: 7.0564 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9016 loss: 0.9016 2022/08/05 13:16:20 - mmengine - INFO - Epoch(train) [226][400/1879] lr: 1.0000e-04 eta: 6:57:30 time: 0.4582 data_time: 0.0176 memory: 17087 grad_norm: 7.3410 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9069 loss: 0.9069 2022/08/05 13:16:29 - mmengine - INFO - Epoch(train) [226][420/1879] lr: 1.0000e-04 eta: 6:57:21 time: 0.4327 data_time: 0.0163 memory: 17087 grad_norm: 7.1237 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7670 loss: 0.7670 2022/08/05 13:16:38 - mmengine - INFO - Epoch(train) [226][440/1879] lr: 1.0000e-04 eta: 6:57:12 time: 0.4403 data_time: 0.0229 memory: 17087 grad_norm: 7.2220 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7829 loss: 0.7829 2022/08/05 13:16:46 - mmengine - INFO - Epoch(train) [226][460/1879] lr: 1.0000e-04 eta: 6:57:04 time: 0.4293 data_time: 0.0158 memory: 17087 grad_norm: 7.1387 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6981 loss: 0.6981 2022/08/05 13:16:56 - mmengine - INFO - Epoch(train) [226][480/1879] lr: 1.0000e-04 eta: 6:56:55 time: 0.4588 data_time: 0.0172 memory: 17087 grad_norm: 7.2565 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9262 loss: 0.9262 2022/08/05 13:17:04 - mmengine - INFO - Epoch(train) [226][500/1879] lr: 1.0000e-04 eta: 6:56:46 time: 0.4310 data_time: 0.0155 memory: 17087 grad_norm: 7.2620 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8612 loss: 0.8612 2022/08/05 13:17:13 - mmengine - INFO - Epoch(train) [226][520/1879] lr: 1.0000e-04 eta: 6:56:38 time: 0.4369 data_time: 0.0224 memory: 17087 grad_norm: 7.1637 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8021 loss: 0.8021 2022/08/05 13:17:22 - mmengine - INFO - Epoch(train) [226][540/1879] lr: 1.0000e-04 eta: 6:56:29 time: 0.4347 data_time: 0.0179 memory: 17087 grad_norm: 7.3745 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9478 loss: 0.9478 2022/08/05 13:17:30 - mmengine - INFO - Epoch(train) [226][560/1879] lr: 1.0000e-04 eta: 6:56:20 time: 0.4313 data_time: 0.0166 memory: 17087 grad_norm: 7.0681 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8386 loss: 0.8386 2022/08/05 13:17:39 - mmengine - INFO - Epoch(train) [226][580/1879] lr: 1.0000e-04 eta: 6:56:12 time: 0.4364 data_time: 0.0214 memory: 17087 grad_norm: 6.9998 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6898 loss: 0.6898 2022/08/05 13:17:48 - mmengine - INFO - Epoch(train) [226][600/1879] lr: 1.0000e-04 eta: 6:56:03 time: 0.4330 data_time: 0.0181 memory: 17087 grad_norm: 7.2251 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7125 loss: 0.7125 2022/08/05 13:17:57 - mmengine - INFO - Epoch(train) [226][620/1879] lr: 1.0000e-04 eta: 6:55:55 time: 0.4554 data_time: 0.0152 memory: 17087 grad_norm: 7.1868 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9217 loss: 0.9217 2022/08/05 13:18:06 - mmengine - INFO - Epoch(train) [226][640/1879] lr: 1.0000e-04 eta: 6:55:46 time: 0.4325 data_time: 0.0180 memory: 17087 grad_norm: 6.7708 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8031 loss: 0.8031 2022/08/05 13:18:14 - mmengine - INFO - Epoch(train) [226][660/1879] lr: 1.0000e-04 eta: 6:55:37 time: 0.4382 data_time: 0.0188 memory: 17087 grad_norm: 7.1880 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7994 loss: 0.7994 2022/08/05 13:18:23 - mmengine - INFO - Epoch(train) [226][680/1879] lr: 1.0000e-04 eta: 6:55:29 time: 0.4515 data_time: 0.0157 memory: 17087 grad_norm: 7.0810 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7680 loss: 0.7680 2022/08/05 13:18:32 - mmengine - INFO - Epoch(train) [226][700/1879] lr: 1.0000e-04 eta: 6:55:20 time: 0.4302 data_time: 0.0142 memory: 17087 grad_norm: 7.0866 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8766 loss: 0.8766 2022/08/05 13:18:41 - mmengine - INFO - Epoch(train) [226][720/1879] lr: 1.0000e-04 eta: 6:55:11 time: 0.4367 data_time: 0.0172 memory: 17087 grad_norm: 7.0427 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9513 loss: 0.9513 2022/08/05 13:18:49 - mmengine - INFO - Epoch(train) [226][740/1879] lr: 1.0000e-04 eta: 6:55:03 time: 0.4313 data_time: 0.0134 memory: 17087 grad_norm: 7.0540 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8449 loss: 0.8449 2022/08/05 13:18:58 - mmengine - INFO - Epoch(train) [226][760/1879] lr: 1.0000e-04 eta: 6:54:54 time: 0.4364 data_time: 0.0169 memory: 17087 grad_norm: 7.0611 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8781 loss: 0.8781 2022/08/05 13:19:07 - mmengine - INFO - Epoch(train) [226][780/1879] lr: 1.0000e-04 eta: 6:54:45 time: 0.4295 data_time: 0.0145 memory: 17087 grad_norm: 7.0091 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8928 loss: 0.8928 2022/08/05 13:19:16 - mmengine - INFO - Epoch(train) [226][800/1879] lr: 1.0000e-04 eta: 6:54:37 time: 0.4396 data_time: 0.0178 memory: 17087 grad_norm: 7.4267 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8013 loss: 0.8013 2022/08/05 13:19:24 - mmengine - INFO - Epoch(train) [226][820/1879] lr: 1.0000e-04 eta: 6:54:28 time: 0.4292 data_time: 0.0147 memory: 17087 grad_norm: 7.2553 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7757 loss: 0.7757 2022/08/05 13:19:33 - mmengine - INFO - Epoch(train) [226][840/1879] lr: 1.0000e-04 eta: 6:54:19 time: 0.4323 data_time: 0.0163 memory: 17087 grad_norm: 6.8082 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7227 loss: 0.7227 2022/08/05 13:19:42 - mmengine - INFO - Epoch(train) [226][860/1879] lr: 1.0000e-04 eta: 6:54:11 time: 0.4357 data_time: 0.0187 memory: 17087 grad_norm: 6.9531 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7856 loss: 0.7856 2022/08/05 13:19:50 - mmengine - INFO - Epoch(train) [226][880/1879] lr: 1.0000e-04 eta: 6:54:02 time: 0.4316 data_time: 0.0165 memory: 17087 grad_norm: 7.1720 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5425 loss: 0.5425 2022/08/05 13:19:59 - mmengine - INFO - Epoch(train) [226][900/1879] lr: 1.0000e-04 eta: 6:53:53 time: 0.4336 data_time: 0.0161 memory: 17087 grad_norm: 7.2213 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7938 loss: 0.7938 2022/08/05 13:20:08 - mmengine - INFO - Epoch(train) [226][920/1879] lr: 1.0000e-04 eta: 6:53:45 time: 0.4345 data_time: 0.0178 memory: 17087 grad_norm: 6.9699 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9336 loss: 0.9336 2022/08/05 13:20:16 - mmengine - INFO - Epoch(train) [226][940/1879] lr: 1.0000e-04 eta: 6:53:36 time: 0.4339 data_time: 0.0173 memory: 17087 grad_norm: 7.1332 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8369 loss: 0.8369 2022/08/05 13:20:25 - mmengine - INFO - Epoch(train) [226][960/1879] lr: 1.0000e-04 eta: 6:53:27 time: 0.4335 data_time: 0.0173 memory: 17087 grad_norm: 6.8767 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7335 loss: 0.7335 2022/08/05 13:20:34 - mmengine - INFO - Epoch(train) [226][980/1879] lr: 1.0000e-04 eta: 6:53:19 time: 0.4354 data_time: 0.0159 memory: 17087 grad_norm: 7.1586 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8303 loss: 0.8303 2022/08/05 13:20:42 - mmengine - INFO - Epoch(train) [226][1000/1879] lr: 1.0000e-04 eta: 6:53:10 time: 0.4304 data_time: 0.0158 memory: 17087 grad_norm: 6.8587 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7807 loss: 0.7807 2022/08/05 13:20:51 - mmengine - INFO - Epoch(train) [226][1020/1879] lr: 1.0000e-04 eta: 6:53:01 time: 0.4324 data_time: 0.0156 memory: 17087 grad_norm: 6.9990 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9125 loss: 0.9125 2022/08/05 13:21:00 - mmengine - INFO - Epoch(train) [226][1040/1879] lr: 1.0000e-04 eta: 6:52:53 time: 0.4323 data_time: 0.0166 memory: 17087 grad_norm: 7.0603 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8880 loss: 0.8880 2022/08/05 13:21:09 - mmengine - INFO - Epoch(train) [226][1060/1879] lr: 1.0000e-04 eta: 6:52:44 time: 0.4413 data_time: 0.0172 memory: 17087 grad_norm: 6.7692 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7403 loss: 0.7403 2022/08/05 13:21:17 - mmengine - INFO - Epoch(train) [226][1080/1879] lr: 1.0000e-04 eta: 6:52:35 time: 0.4311 data_time: 0.0163 memory: 17087 grad_norm: 7.0625 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7622 loss: 0.7622 2022/08/05 13:21:26 - mmengine - INFO - Epoch(train) [226][1100/1879] lr: 1.0000e-04 eta: 6:52:27 time: 0.4493 data_time: 0.0157 memory: 17087 grad_norm: 7.2115 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6308 loss: 0.6308 2022/08/05 13:21:35 - mmengine - INFO - Epoch(train) [226][1120/1879] lr: 1.0000e-04 eta: 6:52:18 time: 0.4360 data_time: 0.0176 memory: 17087 grad_norm: 7.2493 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8958 loss: 0.8958 2022/08/05 13:21:44 - mmengine - INFO - Epoch(train) [226][1140/1879] lr: 1.0000e-04 eta: 6:52:10 time: 0.4301 data_time: 0.0145 memory: 17087 grad_norm: 7.3295 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7054 loss: 0.7054 2022/08/05 13:21:52 - mmengine - INFO - Epoch(train) [226][1160/1879] lr: 1.0000e-04 eta: 6:52:01 time: 0.4336 data_time: 0.0162 memory: 17087 grad_norm: 7.3477 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9847 loss: 0.9847 2022/08/05 13:22:01 - mmengine - INFO - Epoch(train) [226][1180/1879] lr: 1.0000e-04 eta: 6:51:52 time: 0.4461 data_time: 0.0173 memory: 17087 grad_norm: 6.9834 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8611 loss: 0.8611 2022/08/05 13:22:10 - mmengine - INFO - Epoch(train) [226][1200/1879] lr: 1.0000e-04 eta: 6:51:44 time: 0.4322 data_time: 0.0169 memory: 17087 grad_norm: 7.0890 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7439 loss: 0.7439 2022/08/05 13:22:19 - mmengine - INFO - Epoch(train) [226][1220/1879] lr: 1.0000e-04 eta: 6:51:35 time: 0.4313 data_time: 0.0153 memory: 17087 grad_norm: 6.8236 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.7753 loss: 0.7753 2022/08/05 13:22:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 13:22:27 - mmengine - INFO - Epoch(train) [226][1240/1879] lr: 1.0000e-04 eta: 6:51:26 time: 0.4374 data_time: 0.0193 memory: 17087 grad_norm: 7.3422 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6636 loss: 0.6636 2022/08/05 13:22:36 - mmengine - INFO - Epoch(train) [226][1260/1879] lr: 1.0000e-04 eta: 6:51:18 time: 0.4311 data_time: 0.0156 memory: 17087 grad_norm: 7.0851 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7141 loss: 0.7141 2022/08/05 13:22:45 - mmengine - INFO - Epoch(train) [226][1280/1879] lr: 1.0000e-04 eta: 6:51:09 time: 0.4358 data_time: 0.0191 memory: 17087 grad_norm: 6.9934 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8056 loss: 0.8056 2022/08/05 13:22:54 - mmengine - INFO - Epoch(train) [226][1300/1879] lr: 1.0000e-04 eta: 6:51:00 time: 0.4463 data_time: 0.0142 memory: 17087 grad_norm: 7.1729 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9594 loss: 0.9594 2022/08/05 13:23:02 - mmengine - INFO - Epoch(train) [226][1320/1879] lr: 1.0000e-04 eta: 6:50:52 time: 0.4346 data_time: 0.0170 memory: 17087 grad_norm: 6.7765 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7992 loss: 0.7992 2022/08/05 13:23:11 - mmengine - INFO - Epoch(train) [226][1340/1879] lr: 1.0000e-04 eta: 6:50:43 time: 0.4337 data_time: 0.0159 memory: 17087 grad_norm: 6.9926 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8810 loss: 0.8810 2022/08/05 13:23:20 - mmengine - INFO - Epoch(train) [226][1360/1879] lr: 1.0000e-04 eta: 6:50:34 time: 0.4329 data_time: 0.0164 memory: 17087 grad_norm: 7.0861 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9183 loss: 0.9183 2022/08/05 13:23:29 - mmengine - INFO - Epoch(train) [226][1380/1879] lr: 1.0000e-04 eta: 6:50:26 time: 0.4481 data_time: 0.0161 memory: 17087 grad_norm: 7.0909 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7786 loss: 0.7786 2022/08/05 13:23:38 - mmengine - INFO - Epoch(train) [226][1400/1879] lr: 1.0000e-04 eta: 6:50:17 time: 0.4359 data_time: 0.0204 memory: 17087 grad_norm: 7.0157 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7756 loss: 0.7756 2022/08/05 13:23:46 - mmengine - INFO - Epoch(train) [226][1420/1879] lr: 1.0000e-04 eta: 6:50:08 time: 0.4336 data_time: 0.0171 memory: 17087 grad_norm: 7.4093 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8073 loss: 0.8073 2022/08/05 13:23:55 - mmengine - INFO - Epoch(train) [226][1440/1879] lr: 1.0000e-04 eta: 6:50:00 time: 0.4313 data_time: 0.0157 memory: 17087 grad_norm: 7.1065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8745 loss: 0.8745 2022/08/05 13:24:04 - mmengine - INFO - Epoch(train) [226][1460/1879] lr: 1.0000e-04 eta: 6:49:51 time: 0.4444 data_time: 0.0157 memory: 17087 grad_norm: 7.2185 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8896 loss: 0.8896 2022/08/05 13:24:12 - mmengine - INFO - Epoch(train) [226][1480/1879] lr: 1.0000e-04 eta: 6:49:42 time: 0.4320 data_time: 0.0162 memory: 17087 grad_norm: 7.1095 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8910 loss: 0.8910 2022/08/05 13:24:21 - mmengine - INFO - Epoch(train) [226][1500/1879] lr: 1.0000e-04 eta: 6:49:34 time: 0.4354 data_time: 0.0167 memory: 17087 grad_norm: 7.3620 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8189 loss: 0.8189 2022/08/05 13:24:30 - mmengine - INFO - Epoch(train) [226][1520/1879] lr: 1.0000e-04 eta: 6:49:25 time: 0.4323 data_time: 0.0167 memory: 17087 grad_norm: 7.1612 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9887 loss: 0.9887 2022/08/05 13:24:39 - mmengine - INFO - Epoch(train) [226][1540/1879] lr: 1.0000e-04 eta: 6:49:17 time: 0.4508 data_time: 0.0162 memory: 17087 grad_norm: 7.0092 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8062 loss: 0.8062 2022/08/05 13:24:48 - mmengine - INFO - Epoch(train) [226][1560/1879] lr: 1.0000e-04 eta: 6:49:08 time: 0.4326 data_time: 0.0154 memory: 17087 grad_norm: 6.9132 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9034 loss: 0.9034 2022/08/05 13:24:57 - mmengine - INFO - Epoch(train) [226][1580/1879] lr: 1.0000e-04 eta: 6:48:59 time: 0.4535 data_time: 0.0167 memory: 17087 grad_norm: 6.8985 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7150 loss: 0.7150 2022/08/05 13:25:05 - mmengine - INFO - Epoch(train) [226][1600/1879] lr: 1.0000e-04 eta: 6:48:51 time: 0.4354 data_time: 0.0176 memory: 17087 grad_norm: 7.2836 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8449 loss: 0.8449 2022/08/05 13:25:14 - mmengine - INFO - Epoch(train) [226][1620/1879] lr: 1.0000e-04 eta: 6:48:42 time: 0.4297 data_time: 0.0149 memory: 17087 grad_norm: 6.9011 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7588 loss: 0.7588 2022/08/05 13:25:23 - mmengine - INFO - Epoch(train) [226][1640/1879] lr: 1.0000e-04 eta: 6:48:33 time: 0.4474 data_time: 0.0165 memory: 17087 grad_norm: 7.1620 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8011 loss: 0.8011 2022/08/05 13:25:32 - mmengine - INFO - Epoch(train) [226][1660/1879] lr: 1.0000e-04 eta: 6:48:25 time: 0.4324 data_time: 0.0161 memory: 17087 grad_norm: 7.2799 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9867 loss: 0.9867 2022/08/05 13:25:41 - mmengine - INFO - Epoch(train) [226][1680/1879] lr: 1.0000e-04 eta: 6:48:16 time: 0.4429 data_time: 0.0164 memory: 17087 grad_norm: 7.1524 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8584 loss: 0.8584 2022/08/05 13:25:49 - mmengine - INFO - Epoch(train) [226][1700/1879] lr: 1.0000e-04 eta: 6:48:07 time: 0.4323 data_time: 0.0153 memory: 17087 grad_norm: 6.9482 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8912 loss: 0.8912 2022/08/05 13:25:58 - mmengine - INFO - Epoch(train) [226][1720/1879] lr: 1.0000e-04 eta: 6:47:59 time: 0.4478 data_time: 0.0172 memory: 17087 grad_norm: 7.2682 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8206 loss: 0.8206 2022/08/05 13:26:07 - mmengine - INFO - Epoch(train) [226][1740/1879] lr: 1.0000e-04 eta: 6:47:50 time: 0.4303 data_time: 0.0149 memory: 17087 grad_norm: 6.9414 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8845 loss: 0.8845 2022/08/05 13:26:16 - mmengine - INFO - Epoch(train) [226][1760/1879] lr: 1.0000e-04 eta: 6:47:41 time: 0.4611 data_time: 0.0178 memory: 17087 grad_norm: 7.3480 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9205 loss: 0.9205 2022/08/05 13:26:25 - mmengine - INFO - Epoch(train) [226][1780/1879] lr: 1.0000e-04 eta: 6:47:33 time: 0.4324 data_time: 0.0161 memory: 17087 grad_norm: 7.1475 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9168 loss: 0.9168 2022/08/05 13:26:33 - mmengine - INFO - Epoch(train) [226][1800/1879] lr: 1.0000e-04 eta: 6:47:24 time: 0.4318 data_time: 0.0162 memory: 17087 grad_norm: 7.4222 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8394 loss: 0.8394 2022/08/05 13:26:43 - mmengine - INFO - Epoch(train) [226][1820/1879] lr: 1.0000e-04 eta: 6:47:16 time: 0.4559 data_time: 0.0274 memory: 17087 grad_norm: 6.8278 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8289 loss: 0.8289 2022/08/05 13:26:51 - mmengine - INFO - Epoch(train) [226][1840/1879] lr: 1.0000e-04 eta: 6:47:07 time: 0.4318 data_time: 0.0176 memory: 17087 grad_norm: 6.9231 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7473 loss: 0.7473 2022/08/05 13:27:00 - mmengine - INFO - Epoch(train) [226][1860/1879] lr: 1.0000e-04 eta: 6:46:58 time: 0.4638 data_time: 0.0159 memory: 17087 grad_norm: 7.2820 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9006 loss: 0.9006 2022/08/05 13:27:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 13:27:08 - mmengine - INFO - Epoch(train) [226][1879/1879] lr: 1.0000e-04 eta: 6:46:58 time: 0.4133 data_time: 0.0161 memory: 17087 grad_norm: 7.3477 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7646 loss: 0.7646 2022/08/05 13:27:20 - mmengine - INFO - Epoch(train) [227][20/1879] lr: 1.0000e-04 eta: 6:46:41 time: 0.5719 data_time: 0.0915 memory: 17087 grad_norm: 7.1073 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8037 loss: 0.8037 2022/08/05 13:27:29 - mmengine - INFO - Epoch(train) [227][40/1879] lr: 1.0000e-04 eta: 6:46:32 time: 0.4320 data_time: 0.0165 memory: 17087 grad_norm: 7.1064 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9237 loss: 0.9237 2022/08/05 13:27:38 - mmengine - INFO - Epoch(train) [227][60/1879] lr: 1.0000e-04 eta: 6:46:23 time: 0.4545 data_time: 0.0160 memory: 17087 grad_norm: 7.4281 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8631 loss: 0.8631 2022/08/05 13:27:46 - mmengine - INFO - Epoch(train) [227][80/1879] lr: 1.0000e-04 eta: 6:46:15 time: 0.4325 data_time: 0.0158 memory: 17087 grad_norm: 7.2870 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7867 loss: 0.7867 2022/08/05 13:27:55 - mmengine - INFO - Epoch(train) [227][100/1879] lr: 1.0000e-04 eta: 6:46:06 time: 0.4301 data_time: 0.0164 memory: 17087 grad_norm: 6.8401 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7471 loss: 0.7471 2022/08/05 13:28:04 - mmengine - INFO - Epoch(train) [227][120/1879] lr: 1.0000e-04 eta: 6:45:57 time: 0.4508 data_time: 0.0170 memory: 17087 grad_norm: 7.0799 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6582 loss: 0.6582 2022/08/05 13:28:13 - mmengine - INFO - Epoch(train) [227][140/1879] lr: 1.0000e-04 eta: 6:45:49 time: 0.4289 data_time: 0.0147 memory: 17087 grad_norm: 6.9043 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8257 loss: 0.8257 2022/08/05 13:28:22 - mmengine - INFO - Epoch(train) [227][160/1879] lr: 1.0000e-04 eta: 6:45:40 time: 0.4727 data_time: 0.0173 memory: 17087 grad_norm: 7.5137 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7782 loss: 0.7782 2022/08/05 13:28:31 - mmengine - INFO - Epoch(train) [227][180/1879] lr: 1.0000e-04 eta: 6:45:32 time: 0.4309 data_time: 0.0161 memory: 17087 grad_norm: 7.5359 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0292 loss: 1.0292 2022/08/05 13:28:40 - mmengine - INFO - Epoch(train) [227][200/1879] lr: 1.0000e-04 eta: 6:45:23 time: 0.4412 data_time: 0.0169 memory: 17087 grad_norm: 7.2655 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8084 loss: 0.8084 2022/08/05 13:28:48 - mmengine - INFO - Epoch(train) [227][220/1879] lr: 1.0000e-04 eta: 6:45:14 time: 0.4312 data_time: 0.0161 memory: 17087 grad_norm: 7.0538 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8623 loss: 0.8623 2022/08/05 13:28:57 - mmengine - INFO - Epoch(train) [227][240/1879] lr: 1.0000e-04 eta: 6:45:06 time: 0.4393 data_time: 0.0162 memory: 17087 grad_norm: 6.9843 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 1.0140 loss: 1.0140 2022/08/05 13:29:06 - mmengine - INFO - Epoch(train) [227][260/1879] lr: 1.0000e-04 eta: 6:44:57 time: 0.4310 data_time: 0.0152 memory: 17087 grad_norm: 6.9913 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7441 loss: 0.7441 2022/08/05 13:29:14 - mmengine - INFO - Epoch(train) [227][280/1879] lr: 1.0000e-04 eta: 6:44:48 time: 0.4293 data_time: 0.0151 memory: 17087 grad_norm: 7.2257 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7906 loss: 0.7906 2022/08/05 13:29:23 - mmengine - INFO - Epoch(train) [227][300/1879] lr: 1.0000e-04 eta: 6:44:40 time: 0.4394 data_time: 0.0147 memory: 17087 grad_norm: 7.1684 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9238 loss: 0.9238 2022/08/05 13:29:32 - mmengine - INFO - Epoch(train) [227][320/1879] lr: 1.0000e-04 eta: 6:44:31 time: 0.4338 data_time: 0.0170 memory: 17087 grad_norm: 7.2934 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6954 loss: 0.6954 2022/08/05 13:29:41 - mmengine - INFO - Epoch(train) [227][340/1879] lr: 1.0000e-04 eta: 6:44:22 time: 0.4576 data_time: 0.0156 memory: 17087 grad_norm: 6.8216 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7466 loss: 0.7466 2022/08/05 13:29:44 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 13:29:50 - mmengine - INFO - Epoch(train) [227][360/1879] lr: 1.0000e-04 eta: 6:44:14 time: 0.4371 data_time: 0.0161 memory: 17087 grad_norm: 7.2039 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7476 loss: 0.7476 2022/08/05 13:29:59 - mmengine - INFO - Epoch(train) [227][380/1879] lr: 1.0000e-04 eta: 6:44:05 time: 0.4523 data_time: 0.0159 memory: 17087 grad_norm: 7.1026 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8842 loss: 0.8842 2022/08/05 13:30:08 - mmengine - INFO - Epoch(train) [227][400/1879] lr: 1.0000e-04 eta: 6:43:56 time: 0.4319 data_time: 0.0193 memory: 17087 grad_norm: 7.0061 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8087 loss: 0.8087 2022/08/05 13:30:16 - mmengine - INFO - Epoch(train) [227][420/1879] lr: 1.0000e-04 eta: 6:43:48 time: 0.4330 data_time: 0.0174 memory: 17087 grad_norm: 7.4098 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7367 loss: 0.7367 2022/08/05 13:30:25 - mmengine - INFO - Epoch(train) [227][440/1879] lr: 1.0000e-04 eta: 6:43:39 time: 0.4308 data_time: 0.0160 memory: 17087 grad_norm: 7.0804 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9496 loss: 0.9496 2022/08/05 13:30:33 - mmengine - INFO - Epoch(train) [227][460/1879] lr: 1.0000e-04 eta: 6:43:30 time: 0.4308 data_time: 0.0152 memory: 17087 grad_norm: 7.0060 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9295 loss: 0.9295 2022/08/05 13:30:43 - mmengine - INFO - Epoch(train) [227][480/1879] lr: 1.0000e-04 eta: 6:43:22 time: 0.4635 data_time: 0.0175 memory: 17087 grad_norm: 7.1139 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9751 loss: 0.9751 2022/08/05 13:30:51 - mmengine - INFO - Epoch(train) [227][500/1879] lr: 1.0000e-04 eta: 6:43:13 time: 0.4309 data_time: 0.0143 memory: 17087 grad_norm: 6.8187 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7968 loss: 0.7968 2022/08/05 13:31:00 - mmengine - INFO - Epoch(train) [227][520/1879] lr: 1.0000e-04 eta: 6:43:05 time: 0.4379 data_time: 0.0178 memory: 17087 grad_norm: 6.9693 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7898 loss: 0.7898 2022/08/05 13:31:09 - mmengine - INFO - Epoch(train) [227][540/1879] lr: 1.0000e-04 eta: 6:42:56 time: 0.4309 data_time: 0.0149 memory: 17087 grad_norm: 7.2824 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7846 loss: 0.7846 2022/08/05 13:31:18 - mmengine - INFO - Epoch(train) [227][560/1879] lr: 1.0000e-04 eta: 6:42:47 time: 0.4487 data_time: 0.0172 memory: 17087 grad_norm: 6.7874 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8347 loss: 0.8347 2022/08/05 13:31:26 - mmengine - INFO - Epoch(train) [227][580/1879] lr: 1.0000e-04 eta: 6:42:39 time: 0.4306 data_time: 0.0129 memory: 17087 grad_norm: 6.8801 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9779 loss: 0.9779 2022/08/05 13:31:35 - mmengine - INFO - Epoch(train) [227][600/1879] lr: 1.0000e-04 eta: 6:42:30 time: 0.4332 data_time: 0.0168 memory: 17087 grad_norm: 7.2633 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8473 loss: 0.8473 2022/08/05 13:31:44 - mmengine - INFO - Epoch(train) [227][620/1879] lr: 1.0000e-04 eta: 6:42:21 time: 0.4294 data_time: 0.0150 memory: 17087 grad_norm: 7.2531 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8340 loss: 0.8340 2022/08/05 13:31:53 - mmengine - INFO - Epoch(train) [227][640/1879] lr: 1.0000e-04 eta: 6:42:13 time: 0.4384 data_time: 0.0171 memory: 17087 grad_norm: 7.0618 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7780 loss: 0.7780 2022/08/05 13:32:01 - mmengine - INFO - Epoch(train) [227][660/1879] lr: 1.0000e-04 eta: 6:42:04 time: 0.4316 data_time: 0.0173 memory: 17087 grad_norm: 7.1900 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8346 loss: 0.8346 2022/08/05 13:32:10 - mmengine - INFO - Epoch(train) [227][680/1879] lr: 1.0000e-04 eta: 6:41:55 time: 0.4464 data_time: 0.0166 memory: 17087 grad_norm: 7.5554 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7396 loss: 0.7396 2022/08/05 13:32:19 - mmengine - INFO - Epoch(train) [227][700/1879] lr: 1.0000e-04 eta: 6:41:47 time: 0.4345 data_time: 0.0185 memory: 17087 grad_norm: 7.1596 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8700 loss: 0.8700 2022/08/05 13:32:28 - mmengine - INFO - Epoch(train) [227][720/1879] lr: 1.0000e-04 eta: 6:41:38 time: 0.4333 data_time: 0.0153 memory: 17087 grad_norm: 7.2966 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8929 loss: 0.8929 2022/08/05 13:32:36 - mmengine - INFO - Epoch(train) [227][740/1879] lr: 1.0000e-04 eta: 6:41:29 time: 0.4315 data_time: 0.0172 memory: 17087 grad_norm: 6.8824 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7503 loss: 0.7503 2022/08/05 13:32:45 - mmengine - INFO - Epoch(train) [227][760/1879] lr: 1.0000e-04 eta: 6:41:21 time: 0.4301 data_time: 0.0160 memory: 17087 grad_norm: 6.8520 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8997 loss: 0.8997 2022/08/05 13:32:53 - mmengine - INFO - Epoch(train) [227][780/1879] lr: 1.0000e-04 eta: 6:41:12 time: 0.4318 data_time: 0.0152 memory: 17087 grad_norm: 6.9375 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9084 loss: 0.9084 2022/08/05 13:33:02 - mmengine - INFO - Epoch(train) [227][800/1879] lr: 1.0000e-04 eta: 6:41:03 time: 0.4307 data_time: 0.0166 memory: 17087 grad_norm: 7.1736 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7629 loss: 0.7629 2022/08/05 13:33:11 - mmengine - INFO - Epoch(train) [227][820/1879] lr: 1.0000e-04 eta: 6:40:55 time: 0.4311 data_time: 0.0144 memory: 17087 grad_norm: 7.1144 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8189 loss: 0.8189 2022/08/05 13:33:19 - mmengine - INFO - Epoch(train) [227][840/1879] lr: 1.0000e-04 eta: 6:40:46 time: 0.4341 data_time: 0.0159 memory: 17087 grad_norm: 7.2247 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8351 loss: 0.8351 2022/08/05 13:33:29 - mmengine - INFO - Epoch(train) [227][860/1879] lr: 1.0000e-04 eta: 6:40:37 time: 0.4508 data_time: 0.0158 memory: 17087 grad_norm: 6.9644 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7779 loss: 0.7779 2022/08/05 13:33:37 - mmengine - INFO - Epoch(train) [227][880/1879] lr: 1.0000e-04 eta: 6:40:29 time: 0.4321 data_time: 0.0169 memory: 17087 grad_norm: 7.2511 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9109 loss: 0.9109 2022/08/05 13:33:46 - mmengine - INFO - Epoch(train) [227][900/1879] lr: 1.0000e-04 eta: 6:40:20 time: 0.4317 data_time: 0.0141 memory: 17087 grad_norm: 7.1063 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7895 loss: 0.7895 2022/08/05 13:33:54 - mmengine - INFO - Epoch(train) [227][920/1879] lr: 1.0000e-04 eta: 6:40:11 time: 0.4311 data_time: 0.0159 memory: 17087 grad_norm: 7.0496 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8332 loss: 0.8332 2022/08/05 13:34:03 - mmengine - INFO - Epoch(train) [227][940/1879] lr: 1.0000e-04 eta: 6:40:03 time: 0.4318 data_time: 0.0167 memory: 17087 grad_norm: 7.0283 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7829 loss: 0.7829 2022/08/05 13:34:12 - mmengine - INFO - Epoch(train) [227][960/1879] lr: 1.0000e-04 eta: 6:39:54 time: 0.4467 data_time: 0.0170 memory: 17087 grad_norm: 6.9979 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8001 loss: 0.8001 2022/08/05 13:34:21 - mmengine - INFO - Epoch(train) [227][980/1879] lr: 1.0000e-04 eta: 6:39:45 time: 0.4330 data_time: 0.0162 memory: 17087 grad_norm: 7.1492 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9176 loss: 0.9176 2022/08/05 13:34:29 - mmengine - INFO - Epoch(train) [227][1000/1879] lr: 1.0000e-04 eta: 6:39:37 time: 0.4326 data_time: 0.0182 memory: 17087 grad_norm: 7.2193 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8783 loss: 0.8783 2022/08/05 13:34:38 - mmengine - INFO - Epoch(train) [227][1020/1879] lr: 1.0000e-04 eta: 6:39:28 time: 0.4319 data_time: 0.0161 memory: 17087 grad_norm: 7.1649 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8265 loss: 0.8265 2022/08/05 13:34:47 - mmengine - INFO - Epoch(train) [227][1040/1879] lr: 1.0000e-04 eta: 6:39:20 time: 0.4322 data_time: 0.0155 memory: 17087 grad_norm: 7.1708 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8388 loss: 0.8388 2022/08/05 13:34:55 - mmengine - INFO - Epoch(train) [227][1060/1879] lr: 1.0000e-04 eta: 6:39:11 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 7.2875 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8344 loss: 0.8344 2022/08/05 13:35:04 - mmengine - INFO - Epoch(train) [227][1080/1879] lr: 1.0000e-04 eta: 6:39:02 time: 0.4343 data_time: 0.0172 memory: 17087 grad_norm: 7.1019 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7520 loss: 0.7520 2022/08/05 13:35:13 - mmengine - INFO - Epoch(train) [227][1100/1879] lr: 1.0000e-04 eta: 6:38:54 time: 0.4316 data_time: 0.0164 memory: 17087 grad_norm: 7.2374 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8688 loss: 0.8688 2022/08/05 13:35:22 - mmengine - INFO - Epoch(train) [227][1120/1879] lr: 1.0000e-04 eta: 6:38:45 time: 0.4487 data_time: 0.0167 memory: 17087 grad_norm: 6.9144 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7959 loss: 0.7959 2022/08/05 13:35:31 - mmengine - INFO - Epoch(train) [227][1140/1879] lr: 1.0000e-04 eta: 6:38:36 time: 0.4354 data_time: 0.0150 memory: 17087 grad_norm: 7.3667 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9142 loss: 0.9142 2022/08/05 13:35:40 - mmengine - INFO - Epoch(train) [227][1160/1879] lr: 1.0000e-04 eta: 6:38:28 time: 0.4506 data_time: 0.0163 memory: 17087 grad_norm: 7.3937 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8204 loss: 0.8204 2022/08/05 13:35:48 - mmengine - INFO - Epoch(train) [227][1180/1879] lr: 1.0000e-04 eta: 6:38:19 time: 0.4332 data_time: 0.0162 memory: 17087 grad_norm: 7.0329 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8862 loss: 0.8862 2022/08/05 13:35:57 - mmengine - INFO - Epoch(train) [227][1200/1879] lr: 1.0000e-04 eta: 6:38:10 time: 0.4307 data_time: 0.0155 memory: 17087 grad_norm: 7.3590 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8332 loss: 0.8332 2022/08/05 13:36:06 - mmengine - INFO - Epoch(train) [227][1220/1879] lr: 1.0000e-04 eta: 6:38:02 time: 0.4319 data_time: 0.0158 memory: 17087 grad_norm: 7.1443 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8176 loss: 0.8176 2022/08/05 13:36:14 - mmengine - INFO - Epoch(train) [227][1240/1879] lr: 1.0000e-04 eta: 6:37:53 time: 0.4312 data_time: 0.0156 memory: 17087 grad_norm: 6.8764 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7068 loss: 0.7068 2022/08/05 13:36:23 - mmengine - INFO - Epoch(train) [227][1260/1879] lr: 1.0000e-04 eta: 6:37:44 time: 0.4434 data_time: 0.0151 memory: 17087 grad_norm: 7.2293 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6741 loss: 0.6741 2022/08/05 13:36:32 - mmengine - INFO - Epoch(train) [227][1280/1879] lr: 1.0000e-04 eta: 6:37:36 time: 0.4340 data_time: 0.0181 memory: 17087 grad_norm: 7.0181 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8365 loss: 0.8365 2022/08/05 13:36:41 - mmengine - INFO - Epoch(train) [227][1300/1879] lr: 1.0000e-04 eta: 6:37:27 time: 0.4329 data_time: 0.0147 memory: 17087 grad_norm: 7.1766 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7011 loss: 0.7011 2022/08/05 13:36:49 - mmengine - INFO - Epoch(train) [227][1320/1879] lr: 1.0000e-04 eta: 6:37:18 time: 0.4322 data_time: 0.0164 memory: 17087 grad_norm: 7.3242 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8577 loss: 0.8577 2022/08/05 13:36:58 - mmengine - INFO - Epoch(train) [227][1340/1879] lr: 1.0000e-04 eta: 6:37:10 time: 0.4458 data_time: 0.0156 memory: 17087 grad_norm: 7.0263 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8462 loss: 0.8462 2022/08/05 13:37:01 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 13:37:07 - mmengine - INFO - Epoch(train) [227][1360/1879] lr: 1.0000e-04 eta: 6:37:01 time: 0.4326 data_time: 0.0166 memory: 17087 grad_norm: 7.0267 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7809 loss: 0.7809 2022/08/05 13:37:15 - mmengine - INFO - Epoch(train) [227][1380/1879] lr: 1.0000e-04 eta: 6:36:52 time: 0.4300 data_time: 0.0149 memory: 17087 grad_norm: 6.9963 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8944 loss: 0.8944 2022/08/05 13:37:24 - mmengine - INFO - Epoch(train) [227][1400/1879] lr: 1.0000e-04 eta: 6:36:44 time: 0.4403 data_time: 0.0167 memory: 17087 grad_norm: 7.2281 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7852 loss: 0.7852 2022/08/05 13:37:33 - mmengine - INFO - Epoch(train) [227][1420/1879] lr: 1.0000e-04 eta: 6:36:35 time: 0.4280 data_time: 0.0149 memory: 17087 grad_norm: 7.1575 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7495 loss: 0.7495 2022/08/05 13:37:42 - mmengine - INFO - Epoch(train) [227][1440/1879] lr: 1.0000e-04 eta: 6:36:26 time: 0.4423 data_time: 0.0173 memory: 17087 grad_norm: 6.8577 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7284 loss: 0.7284 2022/08/05 13:37:50 - mmengine - INFO - Epoch(train) [227][1460/1879] lr: 1.0000e-04 eta: 6:36:18 time: 0.4358 data_time: 0.0161 memory: 17087 grad_norm: 7.4187 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8523 loss: 0.8523 2022/08/05 13:37:59 - mmengine - INFO - Epoch(train) [227][1480/1879] lr: 1.0000e-04 eta: 6:36:09 time: 0.4422 data_time: 0.0171 memory: 17087 grad_norm: 7.1019 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7870 loss: 0.7870 2022/08/05 13:38:08 - mmengine - INFO - Epoch(train) [227][1500/1879] lr: 1.0000e-04 eta: 6:36:00 time: 0.4328 data_time: 0.0147 memory: 17087 grad_norm: 7.2540 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8585 loss: 0.8585 2022/08/05 13:38:17 - mmengine - INFO - Epoch(train) [227][1520/1879] lr: 1.0000e-04 eta: 6:35:52 time: 0.4487 data_time: 0.0166 memory: 17087 grad_norm: 7.2145 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8085 loss: 0.8085 2022/08/05 13:38:26 - mmengine - INFO - Epoch(train) [227][1540/1879] lr: 1.0000e-04 eta: 6:35:43 time: 0.4294 data_time: 0.0153 memory: 17087 grad_norm: 8.3132 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6854 loss: 0.6854 2022/08/05 13:38:34 - mmengine - INFO - Epoch(train) [227][1560/1879] lr: 1.0000e-04 eta: 6:35:35 time: 0.4353 data_time: 0.0209 memory: 17087 grad_norm: 7.0281 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7306 loss: 0.7306 2022/08/05 13:38:43 - mmengine - INFO - Epoch(train) [227][1580/1879] lr: 1.0000e-04 eta: 6:35:26 time: 0.4318 data_time: 0.0166 memory: 17087 grad_norm: 6.9077 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7735 loss: 0.7735 2022/08/05 13:38:52 - mmengine - INFO - Epoch(train) [227][1600/1879] lr: 1.0000e-04 eta: 6:35:17 time: 0.4332 data_time: 0.0164 memory: 17087 grad_norm: 7.0194 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7016 loss: 0.7016 2022/08/05 13:39:00 - mmengine - INFO - Epoch(train) [227][1620/1879] lr: 1.0000e-04 eta: 6:35:09 time: 0.4361 data_time: 0.0166 memory: 17087 grad_norm: 7.2020 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7544 loss: 0.7544 2022/08/05 13:39:09 - mmengine - INFO - Epoch(train) [227][1640/1879] lr: 1.0000e-04 eta: 6:35:00 time: 0.4343 data_time: 0.0162 memory: 17087 grad_norm: 7.0352 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7169 loss: 0.7169 2022/08/05 13:39:18 - mmengine - INFO - Epoch(train) [227][1660/1879] lr: 1.0000e-04 eta: 6:34:51 time: 0.4364 data_time: 0.0168 memory: 17087 grad_norm: 6.9784 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7696 loss: 0.7696 2022/08/05 13:39:26 - mmengine - INFO - Epoch(train) [227][1680/1879] lr: 1.0000e-04 eta: 6:34:43 time: 0.4299 data_time: 0.0151 memory: 17087 grad_norm: 6.8584 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8508 loss: 0.8508 2022/08/05 13:39:35 - mmengine - INFO - Epoch(train) [227][1700/1879] lr: 1.0000e-04 eta: 6:34:34 time: 0.4314 data_time: 0.0157 memory: 17087 grad_norm: 7.2869 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7627 loss: 0.7627 2022/08/05 13:39:44 - mmengine - INFO - Epoch(train) [227][1720/1879] lr: 1.0000e-04 eta: 6:34:25 time: 0.4341 data_time: 0.0169 memory: 17087 grad_norm: 7.0056 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8825 loss: 0.8825 2022/08/05 13:39:53 - mmengine - INFO - Epoch(train) [227][1740/1879] lr: 1.0000e-04 eta: 6:34:17 time: 0.4312 data_time: 0.0151 memory: 17087 grad_norm: 7.3714 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8653 loss: 0.8653 2022/08/05 13:40:01 - mmengine - INFO - Epoch(train) [227][1760/1879] lr: 1.0000e-04 eta: 6:34:08 time: 0.4463 data_time: 0.0173 memory: 17087 grad_norm: 7.1383 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9145 loss: 0.9145 2022/08/05 13:40:10 - mmengine - INFO - Epoch(train) [227][1780/1879] lr: 1.0000e-04 eta: 6:33:59 time: 0.4340 data_time: 0.0169 memory: 17087 grad_norm: 7.1817 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9418 loss: 0.9418 2022/08/05 13:40:19 - mmengine - INFO - Epoch(train) [227][1800/1879] lr: 1.0000e-04 eta: 6:33:51 time: 0.4318 data_time: 0.0155 memory: 17087 grad_norm: 7.1594 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8873 loss: 0.8873 2022/08/05 13:40:28 - mmengine - INFO - Epoch(train) [227][1820/1879] lr: 1.0000e-04 eta: 6:33:42 time: 0.4496 data_time: 0.0182 memory: 17087 grad_norm: 6.8859 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7181 loss: 0.7181 2022/08/05 13:40:37 - mmengine - INFO - Epoch(train) [227][1840/1879] lr: 1.0000e-04 eta: 6:33:33 time: 0.4335 data_time: 0.0159 memory: 17087 grad_norm: 7.3176 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7533 loss: 0.7533 2022/08/05 13:40:45 - mmengine - INFO - Epoch(train) [227][1860/1879] lr: 1.0000e-04 eta: 6:33:25 time: 0.4312 data_time: 0.0155 memory: 17087 grad_norm: 7.6726 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9657 loss: 0.9657 2022/08/05 13:40:53 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 13:40:53 - mmengine - INFO - Epoch(train) [227][1879/1879] lr: 1.0000e-04 eta: 6:33:25 time: 0.4143 data_time: 0.0150 memory: 17087 grad_norm: 7.3116 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8516 loss: 0.8516 2022/08/05 13:41:05 - mmengine - INFO - Epoch(train) [228][20/1879] lr: 1.0000e-04 eta: 6:33:07 time: 0.5727 data_time: 0.1462 memory: 17087 grad_norm: 7.0507 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8710 loss: 0.8710 2022/08/05 13:41:13 - mmengine - INFO - Epoch(train) [228][40/1879] lr: 1.0000e-04 eta: 6:32:58 time: 0.4342 data_time: 0.0170 memory: 17087 grad_norm: 6.9720 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7819 loss: 0.7819 2022/08/05 13:41:22 - mmengine - INFO - Epoch(train) [228][60/1879] lr: 1.0000e-04 eta: 6:32:50 time: 0.4335 data_time: 0.0141 memory: 17087 grad_norm: 7.1802 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7165 loss: 0.7165 2022/08/05 13:41:31 - mmengine - INFO - Epoch(train) [228][80/1879] lr: 1.0000e-04 eta: 6:32:41 time: 0.4361 data_time: 0.0173 memory: 17087 grad_norm: 6.7416 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8271 loss: 0.8271 2022/08/05 13:41:39 - mmengine - INFO - Epoch(train) [228][100/1879] lr: 1.0000e-04 eta: 6:32:32 time: 0.4295 data_time: 0.0141 memory: 17087 grad_norm: 7.0083 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8930 loss: 0.8930 2022/08/05 13:41:48 - mmengine - INFO - Epoch(train) [228][120/1879] lr: 1.0000e-04 eta: 6:32:24 time: 0.4537 data_time: 0.0199 memory: 17087 grad_norm: 6.9763 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8876 loss: 0.8876 2022/08/05 13:41:57 - mmengine - INFO - Epoch(train) [228][140/1879] lr: 1.0000e-04 eta: 6:32:15 time: 0.4306 data_time: 0.0152 memory: 17087 grad_norm: 6.9475 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0032 loss: 1.0032 2022/08/05 13:42:06 - mmengine - INFO - Epoch(train) [228][160/1879] lr: 1.0000e-04 eta: 6:32:07 time: 0.4376 data_time: 0.0203 memory: 17087 grad_norm: 7.1760 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7023 loss: 0.7023 2022/08/05 13:42:15 - mmengine - INFO - Epoch(train) [228][180/1879] lr: 1.0000e-04 eta: 6:31:58 time: 0.4333 data_time: 0.0166 memory: 17087 grad_norm: 7.2077 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6947 loss: 0.6947 2022/08/05 13:42:23 - mmengine - INFO - Epoch(train) [228][200/1879] lr: 1.0000e-04 eta: 6:31:49 time: 0.4390 data_time: 0.0175 memory: 17087 grad_norm: 7.0238 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7960 loss: 0.7960 2022/08/05 13:42:32 - mmengine - INFO - Epoch(train) [228][220/1879] lr: 1.0000e-04 eta: 6:31:41 time: 0.4302 data_time: 0.0159 memory: 17087 grad_norm: 7.0276 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8579 loss: 0.8579 2022/08/05 13:42:41 - mmengine - INFO - Epoch(train) [228][240/1879] lr: 1.0000e-04 eta: 6:31:32 time: 0.4632 data_time: 0.0228 memory: 17087 grad_norm: 7.1495 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8477 loss: 0.8477 2022/08/05 13:42:50 - mmengine - INFO - Epoch(train) [228][260/1879] lr: 1.0000e-04 eta: 6:31:23 time: 0.4372 data_time: 0.0201 memory: 17087 grad_norm: 7.1496 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7119 loss: 0.7119 2022/08/05 13:42:59 - mmengine - INFO - Epoch(train) [228][280/1879] lr: 1.0000e-04 eta: 6:31:15 time: 0.4374 data_time: 0.0185 memory: 17087 grad_norm: 7.1578 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9430 loss: 0.9430 2022/08/05 13:43:07 - mmengine - INFO - Epoch(train) [228][300/1879] lr: 1.0000e-04 eta: 6:31:06 time: 0.4329 data_time: 0.0176 memory: 17087 grad_norm: 7.0711 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8537 loss: 0.8537 2022/08/05 13:43:16 - mmengine - INFO - Epoch(train) [228][320/1879] lr: 1.0000e-04 eta: 6:30:57 time: 0.4301 data_time: 0.0146 memory: 17087 grad_norm: 7.1975 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9101 loss: 0.9101 2022/08/05 13:43:25 - mmengine - INFO - Epoch(train) [228][340/1879] lr: 1.0000e-04 eta: 6:30:49 time: 0.4362 data_time: 0.0168 memory: 17087 grad_norm: 7.2755 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8649 loss: 0.8649 2022/08/05 13:43:34 - mmengine - INFO - Epoch(train) [228][360/1879] lr: 1.0000e-04 eta: 6:30:40 time: 0.4336 data_time: 0.0155 memory: 17087 grad_norm: 7.4361 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8689 loss: 0.8689 2022/08/05 13:43:42 - mmengine - INFO - Epoch(train) [228][380/1879] lr: 1.0000e-04 eta: 6:30:31 time: 0.4404 data_time: 0.0162 memory: 17087 grad_norm: 7.0296 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9074 loss: 0.9074 2022/08/05 13:43:51 - mmengine - INFO - Epoch(train) [228][400/1879] lr: 1.0000e-04 eta: 6:30:23 time: 0.4329 data_time: 0.0163 memory: 17087 grad_norm: 7.1739 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8028 loss: 0.8028 2022/08/05 13:44:00 - mmengine - INFO - Epoch(train) [228][420/1879] lr: 1.0000e-04 eta: 6:30:14 time: 0.4540 data_time: 0.0164 memory: 17087 grad_norm: 7.0872 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9321 loss: 0.9321 2022/08/05 13:44:09 - mmengine - INFO - Epoch(train) [228][440/1879] lr: 1.0000e-04 eta: 6:30:05 time: 0.4361 data_time: 0.0210 memory: 17087 grad_norm: 7.1281 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.9073 loss: 0.9073 2022/08/05 13:44:18 - mmengine - INFO - Epoch(train) [228][460/1879] lr: 1.0000e-04 eta: 6:29:57 time: 0.4385 data_time: 0.0180 memory: 17087 grad_norm: 6.9588 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7460 loss: 0.7460 2022/08/05 13:44:21 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 13:44:26 - mmengine - INFO - Epoch(train) [228][480/1879] lr: 1.0000e-04 eta: 6:29:48 time: 0.4315 data_time: 0.0168 memory: 17087 grad_norm: 7.1296 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7856 loss: 0.7856 2022/08/05 13:44:35 - mmengine - INFO - Epoch(train) [228][500/1879] lr: 1.0000e-04 eta: 6:29:40 time: 0.4311 data_time: 0.0178 memory: 17087 grad_norm: 7.0229 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8509 loss: 0.8509 2022/08/05 13:44:44 - mmengine - INFO - Epoch(train) [228][520/1879] lr: 1.0000e-04 eta: 6:29:31 time: 0.4431 data_time: 0.0175 memory: 17087 grad_norm: 7.2932 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8735 loss: 0.8735 2022/08/05 13:44:53 - mmengine - INFO - Epoch(train) [228][540/1879] lr: 1.0000e-04 eta: 6:29:22 time: 0.4311 data_time: 0.0173 memory: 17087 grad_norm: 7.1651 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7276 loss: 0.7276 2022/08/05 13:45:02 - mmengine - INFO - Epoch(train) [228][560/1879] lr: 1.0000e-04 eta: 6:29:14 time: 0.4475 data_time: 0.0234 memory: 17087 grad_norm: 6.9320 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8546 loss: 0.8546 2022/08/05 13:45:10 - mmengine - INFO - Epoch(train) [228][580/1879] lr: 1.0000e-04 eta: 6:29:05 time: 0.4314 data_time: 0.0172 memory: 17087 grad_norm: 7.2290 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9363 loss: 0.9363 2022/08/05 13:45:20 - mmengine - INFO - Epoch(train) [228][600/1879] lr: 1.0000e-04 eta: 6:28:56 time: 0.4682 data_time: 0.0175 memory: 17087 grad_norm: 6.8503 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7396 loss: 0.7396 2022/08/05 13:45:28 - mmengine - INFO - Epoch(train) [228][620/1879] lr: 1.0000e-04 eta: 6:28:48 time: 0.4322 data_time: 0.0164 memory: 17087 grad_norm: 7.2966 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8030 loss: 0.8030 2022/08/05 13:45:37 - mmengine - INFO - Epoch(train) [228][640/1879] lr: 1.0000e-04 eta: 6:28:39 time: 0.4433 data_time: 0.0228 memory: 17087 grad_norm: 6.9685 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6863 loss: 0.6863 2022/08/05 13:45:46 - mmengine - INFO - Epoch(train) [228][660/1879] lr: 1.0000e-04 eta: 6:28:30 time: 0.4548 data_time: 0.0151 memory: 17087 grad_norm: 7.0231 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7494 loss: 0.7494 2022/08/05 13:45:55 - mmengine - INFO - Epoch(train) [228][680/1879] lr: 1.0000e-04 eta: 6:28:22 time: 0.4387 data_time: 0.0218 memory: 17087 grad_norm: 6.9275 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8664 loss: 0.8664 2022/08/05 13:46:04 - mmengine - INFO - Epoch(train) [228][700/1879] lr: 1.0000e-04 eta: 6:28:13 time: 0.4296 data_time: 0.0146 memory: 17087 grad_norm: 7.3175 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8806 loss: 0.8806 2022/08/05 13:46:12 - mmengine - INFO - Epoch(train) [228][720/1879] lr: 1.0000e-04 eta: 6:28:04 time: 0.4348 data_time: 0.0177 memory: 17087 grad_norm: 6.7829 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7140 loss: 0.7140 2022/08/05 13:46:21 - mmengine - INFO - Epoch(train) [228][740/1879] lr: 1.0000e-04 eta: 6:27:56 time: 0.4312 data_time: 0.0154 memory: 17087 grad_norm: 7.1471 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9047 loss: 0.9047 2022/08/05 13:46:30 - mmengine - INFO - Epoch(train) [228][760/1879] lr: 1.0000e-04 eta: 6:27:47 time: 0.4356 data_time: 0.0220 memory: 17087 grad_norm: 6.8591 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6977 loss: 0.6977 2022/08/05 13:46:38 - mmengine - INFO - Epoch(train) [228][780/1879] lr: 1.0000e-04 eta: 6:27:38 time: 0.4309 data_time: 0.0149 memory: 17087 grad_norm: 7.0543 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7792 loss: 0.7792 2022/08/05 13:46:47 - mmengine - INFO - Epoch(train) [228][800/1879] lr: 1.0000e-04 eta: 6:27:30 time: 0.4341 data_time: 0.0174 memory: 17087 grad_norm: 7.1007 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8033 loss: 0.8033 2022/08/05 13:46:56 - mmengine - INFO - Epoch(train) [228][820/1879] lr: 1.0000e-04 eta: 6:27:21 time: 0.4474 data_time: 0.0159 memory: 17087 grad_norm: 7.1594 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7337 loss: 0.7337 2022/08/05 13:47:05 - mmengine - INFO - Epoch(train) [228][840/1879] lr: 1.0000e-04 eta: 6:27:13 time: 0.4376 data_time: 0.0172 memory: 17087 grad_norm: 7.2245 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8212 loss: 0.8212 2022/08/05 13:47:13 - mmengine - INFO - Epoch(train) [228][860/1879] lr: 1.0000e-04 eta: 6:27:04 time: 0.4316 data_time: 0.0151 memory: 17087 grad_norm: 6.9468 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8371 loss: 0.8371 2022/08/05 13:47:22 - mmengine - INFO - Epoch(train) [228][880/1879] lr: 1.0000e-04 eta: 6:26:55 time: 0.4445 data_time: 0.0182 memory: 17087 grad_norm: 7.1705 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9155 loss: 0.9155 2022/08/05 13:47:31 - mmengine - INFO - Epoch(train) [228][900/1879] lr: 1.0000e-04 eta: 6:26:47 time: 0.4330 data_time: 0.0166 memory: 17087 grad_norm: 6.9980 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7629 loss: 0.7629 2022/08/05 13:47:40 - mmengine - INFO - Epoch(train) [228][920/1879] lr: 1.0000e-04 eta: 6:26:38 time: 0.4507 data_time: 0.0170 memory: 17087 grad_norm: 7.2888 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7173 loss: 0.7173 2022/08/05 13:47:49 - mmengine - INFO - Epoch(train) [228][940/1879] lr: 1.0000e-04 eta: 6:26:29 time: 0.4448 data_time: 0.0228 memory: 17087 grad_norm: 7.2612 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8558 loss: 0.8558 2022/08/05 13:47:58 - mmengine - INFO - Epoch(train) [228][960/1879] lr: 1.0000e-04 eta: 6:26:21 time: 0.4328 data_time: 0.0160 memory: 17087 grad_norm: 7.0956 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7957 loss: 0.7957 2022/08/05 13:48:07 - mmengine - INFO - Epoch(train) [228][980/1879] lr: 1.0000e-04 eta: 6:26:12 time: 0.4450 data_time: 0.0155 memory: 17087 grad_norm: 6.9176 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8830 loss: 0.8830 2022/08/05 13:48:16 - mmengine - INFO - Epoch(train) [228][1000/1879] lr: 1.0000e-04 eta: 6:26:03 time: 0.4430 data_time: 0.0163 memory: 17087 grad_norm: 7.0724 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8399 loss: 0.8399 2022/08/05 13:48:24 - mmengine - INFO - Epoch(train) [228][1020/1879] lr: 1.0000e-04 eta: 6:25:55 time: 0.4324 data_time: 0.0156 memory: 17087 grad_norm: 7.2816 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8636 loss: 0.8636 2022/08/05 13:48:33 - mmengine - INFO - Epoch(train) [228][1040/1879] lr: 1.0000e-04 eta: 6:25:46 time: 0.4542 data_time: 0.0162 memory: 17087 grad_norm: 6.9683 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8937 loss: 0.8937 2022/08/05 13:48:42 - mmengine - INFO - Epoch(train) [228][1060/1879] lr: 1.0000e-04 eta: 6:25:38 time: 0.4391 data_time: 0.0209 memory: 17087 grad_norm: 7.0868 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8909 loss: 0.8909 2022/08/05 13:48:51 - mmengine - INFO - Epoch(train) [228][1080/1879] lr: 1.0000e-04 eta: 6:25:29 time: 0.4337 data_time: 0.0173 memory: 17087 grad_norm: 7.0726 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8199 loss: 0.8199 2022/08/05 13:49:00 - mmengine - INFO - Epoch(train) [228][1100/1879] lr: 1.0000e-04 eta: 6:25:20 time: 0.4347 data_time: 0.0176 memory: 17087 grad_norm: 6.9809 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8014 loss: 0.8014 2022/08/05 13:49:08 - mmengine - INFO - Epoch(train) [228][1120/1879] lr: 1.0000e-04 eta: 6:25:12 time: 0.4320 data_time: 0.0163 memory: 17087 grad_norm: 6.8928 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9372 loss: 0.9372 2022/08/05 13:49:17 - mmengine - INFO - Epoch(train) [228][1140/1879] lr: 1.0000e-04 eta: 6:25:03 time: 0.4309 data_time: 0.0182 memory: 17087 grad_norm: 7.3048 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8090 loss: 0.8090 2022/08/05 13:49:26 - mmengine - INFO - Epoch(train) [228][1160/1879] lr: 1.0000e-04 eta: 6:24:54 time: 0.4552 data_time: 0.0166 memory: 17087 grad_norm: 7.0219 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9674 loss: 0.9674 2022/08/05 13:49:35 - mmengine - INFO - Epoch(train) [228][1180/1879] lr: 1.0000e-04 eta: 6:24:46 time: 0.4302 data_time: 0.0165 memory: 17087 grad_norm: 7.0077 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9096 loss: 0.9096 2022/08/05 13:49:44 - mmengine - INFO - Epoch(train) [228][1200/1879] lr: 1.0000e-04 eta: 6:24:37 time: 0.4467 data_time: 0.0178 memory: 17087 grad_norm: 7.0891 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.5921 loss: 0.5921 2022/08/05 13:49:52 - mmengine - INFO - Epoch(train) [228][1220/1879] lr: 1.0000e-04 eta: 6:24:28 time: 0.4316 data_time: 0.0158 memory: 17087 grad_norm: 7.3223 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7526 loss: 0.7526 2022/08/05 13:50:01 - mmengine - INFO - Epoch(train) [228][1240/1879] lr: 1.0000e-04 eta: 6:24:20 time: 0.4516 data_time: 0.0156 memory: 17087 grad_norm: 7.1117 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6798 loss: 0.6798 2022/08/05 13:50:10 - mmengine - INFO - Epoch(train) [228][1260/1879] lr: 1.0000e-04 eta: 6:24:11 time: 0.4335 data_time: 0.0168 memory: 17087 grad_norm: 7.2707 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8591 loss: 0.8591 2022/08/05 13:50:19 - mmengine - INFO - Epoch(train) [228][1280/1879] lr: 1.0000e-04 eta: 6:24:02 time: 0.4565 data_time: 0.0183 memory: 17087 grad_norm: 7.3815 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9422 loss: 0.9422 2022/08/05 13:50:28 - mmengine - INFO - Epoch(train) [228][1300/1879] lr: 1.0000e-04 eta: 6:23:54 time: 0.4296 data_time: 0.0144 memory: 17087 grad_norm: 7.1495 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9669 loss: 0.9669 2022/08/05 13:50:36 - mmengine - INFO - Epoch(train) [228][1320/1879] lr: 1.0000e-04 eta: 6:23:45 time: 0.4311 data_time: 0.0163 memory: 17087 grad_norm: 6.9391 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7223 loss: 0.7223 2022/08/05 13:50:45 - mmengine - INFO - Epoch(train) [228][1340/1879] lr: 1.0000e-04 eta: 6:23:36 time: 0.4362 data_time: 0.0161 memory: 17087 grad_norm: 7.1356 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8292 loss: 0.8292 2022/08/05 13:50:54 - mmengine - INFO - Epoch(train) [228][1360/1879] lr: 1.0000e-04 eta: 6:23:28 time: 0.4324 data_time: 0.0163 memory: 17087 grad_norm: 7.1318 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8262 loss: 0.8262 2022/08/05 13:51:03 - mmengine - INFO - Epoch(train) [228][1380/1879] lr: 1.0000e-04 eta: 6:23:19 time: 0.4623 data_time: 0.0175 memory: 17087 grad_norm: 6.8780 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7387 loss: 0.7387 2022/08/05 13:51:12 - mmengine - INFO - Epoch(train) [228][1400/1879] lr: 1.0000e-04 eta: 6:23:11 time: 0.4328 data_time: 0.0170 memory: 17087 grad_norm: 7.1024 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8691 loss: 0.8691 2022/08/05 13:51:21 - mmengine - INFO - Epoch(train) [228][1420/1879] lr: 1.0000e-04 eta: 6:23:02 time: 0.4410 data_time: 0.0168 memory: 17087 grad_norm: 7.3613 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8047 loss: 0.8047 2022/08/05 13:51:29 - mmengine - INFO - Epoch(train) [228][1440/1879] lr: 1.0000e-04 eta: 6:22:53 time: 0.4308 data_time: 0.0161 memory: 17087 grad_norm: 7.2337 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7515 loss: 0.7515 2022/08/05 13:51:39 - mmengine - INFO - Epoch(train) [228][1460/1879] lr: 1.0000e-04 eta: 6:22:45 time: 0.4663 data_time: 0.0204 memory: 17087 grad_norm: 7.0404 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7522 loss: 0.7522 2022/08/05 13:51:42 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 13:51:47 - mmengine - INFO - Epoch(train) [228][1480/1879] lr: 1.0000e-04 eta: 6:22:36 time: 0.4353 data_time: 0.0178 memory: 17087 grad_norm: 7.0051 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8315 loss: 0.8315 2022/08/05 13:51:56 - mmengine - INFO - Epoch(train) [228][1500/1879] lr: 1.0000e-04 eta: 6:22:27 time: 0.4312 data_time: 0.0160 memory: 17087 grad_norm: 7.0950 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8287 loss: 0.8287 2022/08/05 13:52:05 - mmengine - INFO - Epoch(train) [228][1520/1879] lr: 1.0000e-04 eta: 6:22:19 time: 0.4457 data_time: 0.0175 memory: 17087 grad_norm: 7.1463 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7494 loss: 0.7494 2022/08/05 13:52:14 - mmengine - INFO - Epoch(train) [228][1540/1879] lr: 1.0000e-04 eta: 6:22:10 time: 0.4377 data_time: 0.0197 memory: 17087 grad_norm: 7.0798 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9340 loss: 0.9340 2022/08/05 13:52:23 - mmengine - INFO - Epoch(train) [228][1560/1879] lr: 1.0000e-04 eta: 6:22:01 time: 0.4504 data_time: 0.0158 memory: 17087 grad_norm: 6.8104 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7752 loss: 0.7752 2022/08/05 13:52:31 - mmengine - INFO - Epoch(train) [228][1580/1879] lr: 1.0000e-04 eta: 6:21:53 time: 0.4325 data_time: 0.0154 memory: 17087 grad_norm: 7.0674 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9017 loss: 0.9017 2022/08/05 13:52:41 - mmengine - INFO - Epoch(train) [228][1600/1879] lr: 1.0000e-04 eta: 6:21:44 time: 0.4578 data_time: 0.0183 memory: 17087 grad_norm: 6.9039 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8014 loss: 0.8014 2022/08/05 13:52:49 - mmengine - INFO - Epoch(train) [228][1620/1879] lr: 1.0000e-04 eta: 6:21:35 time: 0.4321 data_time: 0.0168 memory: 17087 grad_norm: 7.5026 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8385 loss: 0.8385 2022/08/05 13:52:58 - mmengine - INFO - Epoch(train) [228][1640/1879] lr: 1.0000e-04 eta: 6:21:27 time: 0.4384 data_time: 0.0183 memory: 17087 grad_norm: 6.8875 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7465 loss: 0.7465 2022/08/05 13:53:07 - mmengine - INFO - Epoch(train) [228][1660/1879] lr: 1.0000e-04 eta: 6:21:18 time: 0.4333 data_time: 0.0152 memory: 17087 grad_norm: 7.0967 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8376 loss: 0.8376 2022/08/05 13:53:15 - mmengine - INFO - Epoch(train) [228][1680/1879] lr: 1.0000e-04 eta: 6:21:10 time: 0.4306 data_time: 0.0177 memory: 17087 grad_norm: 7.3054 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9695 loss: 0.9695 2022/08/05 13:53:24 - mmengine - INFO - Epoch(train) [228][1700/1879] lr: 1.0000e-04 eta: 6:21:01 time: 0.4398 data_time: 0.0158 memory: 17087 grad_norm: 6.9702 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7220 loss: 0.7220 2022/08/05 13:53:33 - mmengine - INFO - Epoch(train) [228][1720/1879] lr: 1.0000e-04 eta: 6:20:52 time: 0.4343 data_time: 0.0158 memory: 17087 grad_norm: 7.0354 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7735 loss: 0.7735 2022/08/05 13:53:42 - mmengine - INFO - Epoch(train) [228][1740/1879] lr: 1.0000e-04 eta: 6:20:44 time: 0.4509 data_time: 0.0165 memory: 17087 grad_norm: 7.4319 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0064 loss: 1.0064 2022/08/05 13:53:51 - mmengine - INFO - Epoch(train) [228][1760/1879] lr: 1.0000e-04 eta: 6:20:35 time: 0.4318 data_time: 0.0167 memory: 17087 grad_norm: 7.2937 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7286 loss: 0.7286 2022/08/05 13:53:59 - mmengine - INFO - Epoch(train) [228][1780/1879] lr: 1.0000e-04 eta: 6:20:26 time: 0.4418 data_time: 0.0165 memory: 17087 grad_norm: 7.1551 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.9874 loss: 0.9874 2022/08/05 13:54:08 - mmengine - INFO - Epoch(train) [228][1800/1879] lr: 1.0000e-04 eta: 6:20:18 time: 0.4332 data_time: 0.0166 memory: 17087 grad_norm: 7.3342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7596 loss: 0.7596 2022/08/05 13:54:17 - mmengine - INFO - Epoch(train) [228][1820/1879] lr: 1.0000e-04 eta: 6:20:09 time: 0.4283 data_time: 0.0149 memory: 17087 grad_norm: 7.2064 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9135 loss: 0.9135 2022/08/05 13:54:26 - mmengine - INFO - Epoch(train) [228][1840/1879] lr: 1.0000e-04 eta: 6:20:00 time: 0.4411 data_time: 0.0184 memory: 17087 grad_norm: 7.1972 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9452 loss: 0.9452 2022/08/05 13:54:34 - mmengine - INFO - Epoch(train) [228][1860/1879] lr: 1.0000e-04 eta: 6:19:52 time: 0.4350 data_time: 0.0177 memory: 17087 grad_norm: 7.4049 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9010 loss: 0.9010 2022/08/05 13:54:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 13:54:43 - mmengine - INFO - Epoch(train) [228][1879/1879] lr: 1.0000e-04 eta: 6:19:52 time: 0.4480 data_time: 0.0161 memory: 17087 grad_norm: 7.4241 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8752 loss: 0.8752 2022/08/05 13:54:43 - mmengine - INFO - Saving checkpoint at 228 epochs 2022/08/05 13:54:58 - mmengine - INFO - Epoch(train) [229][20/1879] lr: 1.0000e-04 eta: 6:19:34 time: 0.5220 data_time: 0.0966 memory: 17087 grad_norm: 6.9669 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6531 loss: 0.6531 2022/08/05 13:55:07 - mmengine - INFO - Epoch(train) [229][40/1879] lr: 1.0000e-04 eta: 6:19:25 time: 0.4506 data_time: 0.0191 memory: 17087 grad_norm: 6.9942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6993 loss: 0.6993 2022/08/05 13:55:16 - mmengine - INFO - Epoch(train) [229][60/1879] lr: 1.0000e-04 eta: 6:19:17 time: 0.4426 data_time: 0.0144 memory: 17087 grad_norm: 6.9260 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7413 loss: 0.7413 2022/08/05 13:55:25 - mmengine - INFO - Epoch(train) [229][80/1879] lr: 1.0000e-04 eta: 6:19:08 time: 0.4314 data_time: 0.0167 memory: 17087 grad_norm: 6.8849 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7327 loss: 0.7327 2022/08/05 13:55:33 - mmengine - INFO - Epoch(train) [229][100/1879] lr: 1.0000e-04 eta: 6:18:59 time: 0.4387 data_time: 0.0249 memory: 17087 grad_norm: 6.9366 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6756 loss: 0.6756 2022/08/05 13:55:42 - mmengine - INFO - Epoch(train) [229][120/1879] lr: 1.0000e-04 eta: 6:18:51 time: 0.4304 data_time: 0.0164 memory: 17087 grad_norm: 7.3383 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6605 loss: 0.6605 2022/08/05 13:55:51 - mmengine - INFO - Epoch(train) [229][140/1879] lr: 1.0000e-04 eta: 6:18:42 time: 0.4365 data_time: 0.0161 memory: 17087 grad_norm: 7.3625 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8949 loss: 0.8949 2022/08/05 13:55:59 - mmengine - INFO - Epoch(train) [229][160/1879] lr: 1.0000e-04 eta: 6:18:33 time: 0.4321 data_time: 0.0157 memory: 17087 grad_norm: 7.1881 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7592 loss: 0.7592 2022/08/05 13:56:08 - mmengine - INFO - Epoch(train) [229][180/1879] lr: 1.0000e-04 eta: 6:18:25 time: 0.4323 data_time: 0.0156 memory: 17087 grad_norm: 6.9555 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7691 loss: 0.7691 2022/08/05 13:56:17 - mmengine - INFO - Epoch(train) [229][200/1879] lr: 1.0000e-04 eta: 6:18:16 time: 0.4347 data_time: 0.0173 memory: 17087 grad_norm: 7.2452 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7534 loss: 0.7534 2022/08/05 13:56:26 - mmengine - INFO - Epoch(train) [229][220/1879] lr: 1.0000e-04 eta: 6:18:07 time: 0.4350 data_time: 0.0189 memory: 17087 grad_norm: 7.1583 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7165 loss: 0.7165 2022/08/05 13:56:35 - mmengine - INFO - Epoch(train) [229][240/1879] lr: 1.0000e-04 eta: 6:17:59 time: 0.4552 data_time: 0.0155 memory: 17087 grad_norm: 7.2567 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7265 loss: 0.7265 2022/08/05 13:56:43 - mmengine - INFO - Epoch(train) [229][260/1879] lr: 1.0000e-04 eta: 6:17:50 time: 0.4321 data_time: 0.0153 memory: 17087 grad_norm: 7.0711 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8544 loss: 0.8544 2022/08/05 13:56:52 - mmengine - INFO - Epoch(train) [229][280/1879] lr: 1.0000e-04 eta: 6:17:42 time: 0.4340 data_time: 0.0177 memory: 17087 grad_norm: 7.1188 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7708 loss: 0.7708 2022/08/05 13:57:01 - mmengine - INFO - Epoch(train) [229][300/1879] lr: 1.0000e-04 eta: 6:17:33 time: 0.4479 data_time: 0.0167 memory: 17087 grad_norm: 7.1111 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8221 loss: 0.8221 2022/08/05 13:57:10 - mmengine - INFO - Epoch(train) [229][320/1879] lr: 1.0000e-04 eta: 6:17:24 time: 0.4457 data_time: 0.0163 memory: 17087 grad_norm: 6.9930 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7255 loss: 0.7255 2022/08/05 13:57:19 - mmengine - INFO - Epoch(train) [229][340/1879] lr: 1.0000e-04 eta: 6:17:16 time: 0.4396 data_time: 0.0182 memory: 17087 grad_norm: 7.2369 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9537 loss: 0.9537 2022/08/05 13:57:27 - mmengine - INFO - Epoch(train) [229][360/1879] lr: 1.0000e-04 eta: 6:17:07 time: 0.4315 data_time: 0.0168 memory: 17087 grad_norm: 7.0070 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7004 loss: 0.7004 2022/08/05 13:57:36 - mmengine - INFO - Epoch(train) [229][380/1879] lr: 1.0000e-04 eta: 6:16:58 time: 0.4334 data_time: 0.0152 memory: 17087 grad_norm: 6.6772 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8496 loss: 0.8496 2022/08/05 13:57:45 - mmengine - INFO - Epoch(train) [229][400/1879] lr: 1.0000e-04 eta: 6:16:50 time: 0.4626 data_time: 0.0167 memory: 17087 grad_norm: 7.2505 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8784 loss: 0.8784 2022/08/05 13:57:54 - mmengine - INFO - Epoch(train) [229][420/1879] lr: 1.0000e-04 eta: 6:16:41 time: 0.4334 data_time: 0.0158 memory: 17087 grad_norm: 6.9561 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7526 loss: 0.7526 2022/08/05 13:58:03 - mmengine - INFO - Epoch(train) [229][440/1879] lr: 1.0000e-04 eta: 6:16:32 time: 0.4486 data_time: 0.0176 memory: 17087 grad_norm: 7.1531 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8068 loss: 0.8068 2022/08/05 13:58:12 - mmengine - INFO - Epoch(train) [229][460/1879] lr: 1.0000e-04 eta: 6:16:24 time: 0.4316 data_time: 0.0172 memory: 17087 grad_norm: 7.2705 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9342 loss: 0.9342 2022/08/05 13:58:21 - mmengine - INFO - Epoch(train) [229][480/1879] lr: 1.0000e-04 eta: 6:16:15 time: 0.4434 data_time: 0.0165 memory: 17087 grad_norm: 7.1293 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8812 loss: 0.8812 2022/08/05 13:58:29 - mmengine - INFO - Epoch(train) [229][500/1879] lr: 1.0000e-04 eta: 6:16:06 time: 0.4360 data_time: 0.0163 memory: 17087 grad_norm: 7.0250 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9054 loss: 0.9054 2022/08/05 13:58:38 - mmengine - INFO - Epoch(train) [229][520/1879] lr: 1.0000e-04 eta: 6:15:58 time: 0.4311 data_time: 0.0159 memory: 17087 grad_norm: 7.3375 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9901 loss: 0.9901 2022/08/05 13:58:47 - mmengine - INFO - Epoch(train) [229][540/1879] lr: 1.0000e-04 eta: 6:15:49 time: 0.4355 data_time: 0.0165 memory: 17087 grad_norm: 6.9566 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7653 loss: 0.7653 2022/08/05 13:58:56 - mmengine - INFO - Epoch(train) [229][560/1879] lr: 1.0000e-04 eta: 6:15:41 time: 0.4537 data_time: 0.0168 memory: 17087 grad_norm: 7.2656 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7392 loss: 0.7392 2022/08/05 13:59:05 - mmengine - INFO - Epoch(train) [229][580/1879] lr: 1.0000e-04 eta: 6:15:32 time: 0.4304 data_time: 0.0150 memory: 17087 grad_norm: 6.9542 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7531 loss: 0.7531 2022/08/05 13:59:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 13:59:13 - mmengine - INFO - Epoch(train) [229][600/1879] lr: 1.0000e-04 eta: 6:15:23 time: 0.4410 data_time: 0.0238 memory: 17087 grad_norm: 7.1048 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0044 loss: 1.0044 2022/08/05 13:59:22 - mmengine - INFO - Epoch(train) [229][620/1879] lr: 1.0000e-04 eta: 6:15:15 time: 0.4303 data_time: 0.0158 memory: 17087 grad_norm: 7.0456 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6693 loss: 0.6693 2022/08/05 13:59:31 - mmengine - INFO - Epoch(train) [229][640/1879] lr: 1.0000e-04 eta: 6:15:06 time: 0.4359 data_time: 0.0168 memory: 17087 grad_norm: 7.2296 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7846 loss: 0.7846 2022/08/05 13:59:40 - mmengine - INFO - Epoch(train) [229][660/1879] lr: 1.0000e-04 eta: 6:14:57 time: 0.4485 data_time: 0.0170 memory: 17087 grad_norm: 6.9116 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7196 loss: 0.7196 2022/08/05 13:59:48 - mmengine - INFO - Epoch(train) [229][680/1879] lr: 1.0000e-04 eta: 6:14:49 time: 0.4317 data_time: 0.0159 memory: 17087 grad_norm: 7.1949 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8814 loss: 0.8814 2022/08/05 13:59:57 - mmengine - INFO - Epoch(train) [229][700/1879] lr: 1.0000e-04 eta: 6:14:40 time: 0.4295 data_time: 0.0146 memory: 17087 grad_norm: 7.1985 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9211 loss: 0.9211 2022/08/05 14:00:06 - mmengine - INFO - Epoch(train) [229][720/1879] lr: 1.0000e-04 eta: 6:14:31 time: 0.4448 data_time: 0.0184 memory: 17087 grad_norm: 7.4872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9788 loss: 0.9788 2022/08/05 14:00:14 - mmengine - INFO - Epoch(train) [229][740/1879] lr: 1.0000e-04 eta: 6:14:23 time: 0.4298 data_time: 0.0157 memory: 17087 grad_norm: 7.5222 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9419 loss: 0.9419 2022/08/05 14:00:23 - mmengine - INFO - Epoch(train) [229][760/1879] lr: 1.0000e-04 eta: 6:14:14 time: 0.4413 data_time: 0.0167 memory: 17087 grad_norm: 7.2905 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9920 loss: 0.9920 2022/08/05 14:00:32 - mmengine - INFO - Epoch(train) [229][780/1879] lr: 1.0000e-04 eta: 6:14:05 time: 0.4343 data_time: 0.0156 memory: 17087 grad_norm: 7.3533 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7503 loss: 0.7503 2022/08/05 14:00:41 - mmengine - INFO - Epoch(train) [229][800/1879] lr: 1.0000e-04 eta: 6:13:57 time: 0.4530 data_time: 0.0174 memory: 17087 grad_norm: 7.0066 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7578 loss: 0.7578 2022/08/05 14:00:50 - mmengine - INFO - Epoch(train) [229][820/1879] lr: 1.0000e-04 eta: 6:13:48 time: 0.4319 data_time: 0.0149 memory: 17087 grad_norm: 7.4087 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0409 loss: 1.0409 2022/08/05 14:00:59 - mmengine - INFO - Epoch(train) [229][840/1879] lr: 1.0000e-04 eta: 6:13:39 time: 0.4340 data_time: 0.0162 memory: 17087 grad_norm: 7.0868 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8216 loss: 0.8216 2022/08/05 14:01:07 - mmengine - INFO - Epoch(train) [229][860/1879] lr: 1.0000e-04 eta: 6:13:31 time: 0.4398 data_time: 0.0156 memory: 17087 grad_norm: 7.2924 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.0465 loss: 1.0465 2022/08/05 14:01:16 - mmengine - INFO - Epoch(train) [229][880/1879] lr: 1.0000e-04 eta: 6:13:22 time: 0.4311 data_time: 0.0154 memory: 17087 grad_norm: 7.5422 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8262 loss: 0.8262 2022/08/05 14:01:25 - mmengine - INFO - Epoch(train) [229][900/1879] lr: 1.0000e-04 eta: 6:13:13 time: 0.4371 data_time: 0.0165 memory: 17087 grad_norm: 6.8774 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7218 loss: 0.7218 2022/08/05 14:01:33 - mmengine - INFO - Epoch(train) [229][920/1879] lr: 1.0000e-04 eta: 6:13:05 time: 0.4328 data_time: 0.0189 memory: 17087 grad_norm: 7.0809 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7628 loss: 0.7628 2022/08/05 14:01:42 - mmengine - INFO - Epoch(train) [229][940/1879] lr: 1.0000e-04 eta: 6:12:56 time: 0.4311 data_time: 0.0160 memory: 17087 grad_norm: 7.0655 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7824 loss: 0.7824 2022/08/05 14:01:51 - mmengine - INFO - Epoch(train) [229][960/1879] lr: 1.0000e-04 eta: 6:12:47 time: 0.4309 data_time: 0.0156 memory: 17087 grad_norm: 6.9376 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8458 loss: 0.8458 2022/08/05 14:02:00 - mmengine - INFO - Epoch(train) [229][980/1879] lr: 1.0000e-04 eta: 6:12:39 time: 0.4754 data_time: 0.0184 memory: 17087 grad_norm: 7.2229 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8001 loss: 0.8001 2022/08/05 14:02:09 - mmengine - INFO - Epoch(train) [229][1000/1879] lr: 1.0000e-04 eta: 6:12:30 time: 0.4334 data_time: 0.0175 memory: 17087 grad_norm: 7.0868 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8757 loss: 0.8757 2022/08/05 14:02:18 - mmengine - INFO - Epoch(train) [229][1020/1879] lr: 1.0000e-04 eta: 6:12:22 time: 0.4319 data_time: 0.0154 memory: 17087 grad_norm: 6.9551 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7802 loss: 0.7802 2022/08/05 14:02:27 - mmengine - INFO - Epoch(train) [229][1040/1879] lr: 1.0000e-04 eta: 6:12:13 time: 0.4512 data_time: 0.0185 memory: 17087 grad_norm: 7.0607 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7777 loss: 0.7777 2022/08/05 14:02:35 - mmengine - INFO - Epoch(train) [229][1060/1879] lr: 1.0000e-04 eta: 6:12:04 time: 0.4339 data_time: 0.0145 memory: 17087 grad_norm: 7.1238 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9202 loss: 0.9202 2022/08/05 14:02:44 - mmengine - INFO - Epoch(train) [229][1080/1879] lr: 1.0000e-04 eta: 6:11:56 time: 0.4330 data_time: 0.0189 memory: 17087 grad_norm: 7.1905 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9231 loss: 0.9231 2022/08/05 14:02:53 - mmengine - INFO - Epoch(train) [229][1100/1879] lr: 1.0000e-04 eta: 6:11:47 time: 0.4310 data_time: 0.0155 memory: 17087 grad_norm: 7.0405 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8536 loss: 0.8536 2022/08/05 14:03:01 - mmengine - INFO - Epoch(train) [229][1120/1879] lr: 1.0000e-04 eta: 6:11:38 time: 0.4364 data_time: 0.0172 memory: 17087 grad_norm: 7.1584 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8073 loss: 0.8073 2022/08/05 14:03:10 - mmengine - INFO - Epoch(train) [229][1140/1879] lr: 1.0000e-04 eta: 6:11:30 time: 0.4352 data_time: 0.0175 memory: 17087 grad_norm: 7.2132 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0180 loss: 1.0180 2022/08/05 14:03:19 - mmengine - INFO - Epoch(train) [229][1160/1879] lr: 1.0000e-04 eta: 6:11:21 time: 0.4373 data_time: 0.0150 memory: 17087 grad_norm: 7.3102 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8793 loss: 0.8793 2022/08/05 14:03:28 - mmengine - INFO - Epoch(train) [229][1180/1879] lr: 1.0000e-04 eta: 6:11:12 time: 0.4314 data_time: 0.0146 memory: 17087 grad_norm: 6.9435 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7146 loss: 0.7146 2022/08/05 14:03:36 - mmengine - INFO - Epoch(train) [229][1200/1879] lr: 1.0000e-04 eta: 6:11:04 time: 0.4392 data_time: 0.0160 memory: 17087 grad_norm: 7.1669 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8106 loss: 0.8106 2022/08/05 14:03:45 - mmengine - INFO - Epoch(train) [229][1220/1879] lr: 1.0000e-04 eta: 6:10:55 time: 0.4333 data_time: 0.0141 memory: 17087 grad_norm: 6.7964 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6326 loss: 0.6326 2022/08/05 14:03:54 - mmengine - INFO - Epoch(train) [229][1240/1879] lr: 1.0000e-04 eta: 6:10:46 time: 0.4346 data_time: 0.0175 memory: 17087 grad_norm: 6.7570 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8074 loss: 0.8074 2022/08/05 14:04:03 - mmengine - INFO - Epoch(train) [229][1260/1879] lr: 1.0000e-04 eta: 6:10:38 time: 0.4385 data_time: 0.0192 memory: 17087 grad_norm: 7.3974 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8572 loss: 0.8572 2022/08/05 14:04:11 - mmengine - INFO - Epoch(train) [229][1280/1879] lr: 1.0000e-04 eta: 6:10:29 time: 0.4321 data_time: 0.0168 memory: 17087 grad_norm: 7.2524 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8227 loss: 0.8227 2022/08/05 14:04:20 - mmengine - INFO - Epoch(train) [229][1300/1879] lr: 1.0000e-04 eta: 6:10:20 time: 0.4457 data_time: 0.0177 memory: 17087 grad_norm: 7.2929 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8776 loss: 0.8776 2022/08/05 14:04:29 - mmengine - INFO - Epoch(train) [229][1320/1879] lr: 1.0000e-04 eta: 6:10:12 time: 0.4312 data_time: 0.0154 memory: 17087 grad_norm: 6.8627 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7022 loss: 0.7022 2022/08/05 14:04:37 - mmengine - INFO - Epoch(train) [229][1340/1879] lr: 1.0000e-04 eta: 6:10:03 time: 0.4318 data_time: 0.0154 memory: 17087 grad_norm: 7.3990 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8858 loss: 0.8858 2022/08/05 14:04:46 - mmengine - INFO - Epoch(train) [229][1360/1879] lr: 1.0000e-04 eta: 6:09:54 time: 0.4393 data_time: 0.0180 memory: 17087 grad_norm: 7.1080 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7557 loss: 0.7557 2022/08/05 14:04:55 - mmengine - INFO - Epoch(train) [229][1380/1879] lr: 1.0000e-04 eta: 6:09:46 time: 0.4302 data_time: 0.0158 memory: 17087 grad_norm: 7.1687 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7541 loss: 0.7541 2022/08/05 14:05:04 - mmengine - INFO - Epoch(train) [229][1400/1879] lr: 1.0000e-04 eta: 6:09:37 time: 0.4382 data_time: 0.0173 memory: 17087 grad_norm: 6.9843 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7274 loss: 0.7274 2022/08/05 14:05:12 - mmengine - INFO - Epoch(train) [229][1420/1879] lr: 1.0000e-04 eta: 6:09:28 time: 0.4308 data_time: 0.0151 memory: 17087 grad_norm: 6.7912 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8021 loss: 0.8021 2022/08/05 14:05:21 - mmengine - INFO - Epoch(train) [229][1440/1879] lr: 1.0000e-04 eta: 6:09:20 time: 0.4516 data_time: 0.0162 memory: 17087 grad_norm: 6.8692 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9537 loss: 0.9537 2022/08/05 14:05:30 - mmengine - INFO - Epoch(train) [229][1460/1879] lr: 1.0000e-04 eta: 6:09:11 time: 0.4311 data_time: 0.0166 memory: 17087 grad_norm: 7.1157 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8925 loss: 0.8925 2022/08/05 14:05:39 - mmengine - INFO - Epoch(train) [229][1480/1879] lr: 1.0000e-04 eta: 6:09:03 time: 0.4302 data_time: 0.0153 memory: 17087 grad_norm: 6.9129 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8028 loss: 0.8028 2022/08/05 14:05:47 - mmengine - INFO - Epoch(train) [229][1500/1879] lr: 1.0000e-04 eta: 6:08:54 time: 0.4394 data_time: 0.0167 memory: 17087 grad_norm: 6.9109 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7652 loss: 0.7652 2022/08/05 14:05:56 - mmengine - INFO - Epoch(train) [229][1520/1879] lr: 1.0000e-04 eta: 6:08:45 time: 0.4335 data_time: 0.0169 memory: 17087 grad_norm: 7.1457 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6847 loss: 0.6847 2022/08/05 14:06:05 - mmengine - INFO - Epoch(train) [229][1540/1879] lr: 1.0000e-04 eta: 6:08:37 time: 0.4625 data_time: 0.0176 memory: 17087 grad_norm: 6.8579 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9639 loss: 0.9639 2022/08/05 14:06:14 - mmengine - INFO - Epoch(train) [229][1560/1879] lr: 1.0000e-04 eta: 6:08:28 time: 0.4317 data_time: 0.0158 memory: 17087 grad_norm: 7.0021 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6679 loss: 0.6679 2022/08/05 14:06:23 - mmengine - INFO - Epoch(train) [229][1580/1879] lr: 1.0000e-04 eta: 6:08:19 time: 0.4555 data_time: 0.0173 memory: 17087 grad_norm: 7.5442 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8064 loss: 0.8064 2022/08/05 14:06:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 14:06:32 - mmengine - INFO - Epoch(train) [229][1600/1879] lr: 1.0000e-04 eta: 6:08:11 time: 0.4330 data_time: 0.0182 memory: 17087 grad_norm: 6.8277 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8128 loss: 0.8128 2022/08/05 14:06:41 - mmengine - INFO - Epoch(train) [229][1620/1879] lr: 1.0000e-04 eta: 6:08:02 time: 0.4378 data_time: 0.0173 memory: 17087 grad_norm: 7.2658 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8346 loss: 0.8346 2022/08/05 14:06:49 - mmengine - INFO - Epoch(train) [229][1640/1879] lr: 1.0000e-04 eta: 6:07:53 time: 0.4321 data_time: 0.0175 memory: 17087 grad_norm: 7.0933 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7725 loss: 0.7725 2022/08/05 14:06:58 - mmengine - INFO - Epoch(train) [229][1660/1879] lr: 1.0000e-04 eta: 6:07:45 time: 0.4322 data_time: 0.0148 memory: 17087 grad_norm: 6.9819 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6897 loss: 0.6897 2022/08/05 14:07:07 - mmengine - INFO - Epoch(train) [229][1680/1879] lr: 1.0000e-04 eta: 6:07:36 time: 0.4575 data_time: 0.0169 memory: 17087 grad_norm: 7.0260 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7199 loss: 0.7199 2022/08/05 14:07:16 - mmengine - INFO - Epoch(train) [229][1700/1879] lr: 1.0000e-04 eta: 6:07:27 time: 0.4318 data_time: 0.0158 memory: 17087 grad_norm: 7.2673 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8512 loss: 0.8512 2022/08/05 14:07:25 - mmengine - INFO - Epoch(train) [229][1720/1879] lr: 1.0000e-04 eta: 6:07:19 time: 0.4486 data_time: 0.0170 memory: 17087 grad_norm: 7.3142 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9680 loss: 0.9680 2022/08/05 14:07:34 - mmengine - INFO - Epoch(train) [229][1740/1879] lr: 1.0000e-04 eta: 6:07:10 time: 0.4317 data_time: 0.0146 memory: 17087 grad_norm: 7.0413 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7900 loss: 0.7900 2022/08/05 14:07:42 - mmengine - INFO - Epoch(train) [229][1760/1879] lr: 1.0000e-04 eta: 6:07:02 time: 0.4440 data_time: 0.0176 memory: 17087 grad_norm: 6.9282 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8725 loss: 0.8725 2022/08/05 14:07:51 - mmengine - INFO - Epoch(train) [229][1780/1879] lr: 1.0000e-04 eta: 6:06:53 time: 0.4324 data_time: 0.0166 memory: 17087 grad_norm: 6.9301 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7683 loss: 0.7683 2022/08/05 14:08:00 - mmengine - INFO - Epoch(train) [229][1800/1879] lr: 1.0000e-04 eta: 6:06:44 time: 0.4376 data_time: 0.0175 memory: 17087 grad_norm: 7.1361 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8402 loss: 0.8402 2022/08/05 14:08:09 - mmengine - INFO - Epoch(train) [229][1820/1879] lr: 1.0000e-04 eta: 6:06:36 time: 0.4320 data_time: 0.0160 memory: 17087 grad_norm: 7.0618 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7828 loss: 0.7828 2022/08/05 14:08:17 - mmengine - INFO - Epoch(train) [229][1840/1879] lr: 1.0000e-04 eta: 6:06:27 time: 0.4347 data_time: 0.0158 memory: 17087 grad_norm: 6.9099 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7828 loss: 0.7828 2022/08/05 14:08:26 - mmengine - INFO - Epoch(train) [229][1860/1879] lr: 1.0000e-04 eta: 6:06:18 time: 0.4600 data_time: 0.0179 memory: 17087 grad_norm: 7.2217 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8668 loss: 0.8668 2022/08/05 14:08:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 14:08:35 - mmengine - INFO - Epoch(train) [229][1879/1879] lr: 1.0000e-04 eta: 6:06:18 time: 0.4219 data_time: 0.0158 memory: 17087 grad_norm: 7.0342 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7248 loss: 0.7248 2022/08/05 14:08:46 - mmengine - INFO - Epoch(train) [230][20/1879] lr: 1.0000e-04 eta: 6:06:01 time: 0.5624 data_time: 0.1371 memory: 17087 grad_norm: 7.0980 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8807 loss: 0.8807 2022/08/05 14:08:55 - mmengine - INFO - Epoch(train) [230][40/1879] lr: 1.0000e-04 eta: 6:05:52 time: 0.4470 data_time: 0.0214 memory: 17087 grad_norm: 7.3245 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7654 loss: 0.7654 2022/08/05 14:09:04 - mmengine - INFO - Epoch(train) [230][60/1879] lr: 1.0000e-04 eta: 6:05:43 time: 0.4351 data_time: 0.0149 memory: 17087 grad_norm: 6.9405 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7359 loss: 0.7359 2022/08/05 14:09:13 - mmengine - INFO - Epoch(train) [230][80/1879] lr: 1.0000e-04 eta: 6:05:35 time: 0.4545 data_time: 0.0183 memory: 17087 grad_norm: 7.0338 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7892 loss: 0.7892 2022/08/05 14:09:22 - mmengine - INFO - Epoch(train) [230][100/1879] lr: 1.0000e-04 eta: 6:05:26 time: 0.4376 data_time: 0.0148 memory: 17087 grad_norm: 7.1437 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7950 loss: 0.7950 2022/08/05 14:09:31 - mmengine - INFO - Epoch(train) [230][120/1879] lr: 1.0000e-04 eta: 6:05:18 time: 0.4532 data_time: 0.0234 memory: 17087 grad_norm: 7.1347 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7523 loss: 0.7523 2022/08/05 14:09:39 - mmengine - INFO - Epoch(train) [230][140/1879] lr: 1.0000e-04 eta: 6:05:09 time: 0.4294 data_time: 0.0138 memory: 17087 grad_norm: 7.0987 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6037 loss: 0.6037 2022/08/05 14:09:48 - mmengine - INFO - Epoch(train) [230][160/1879] lr: 1.0000e-04 eta: 6:05:00 time: 0.4422 data_time: 0.0222 memory: 17087 grad_norm: 6.9278 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8165 loss: 0.8165 2022/08/05 14:09:57 - mmengine - INFO - Epoch(train) [230][180/1879] lr: 1.0000e-04 eta: 6:04:52 time: 0.4322 data_time: 0.0147 memory: 17087 grad_norm: 7.1808 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8533 loss: 0.8533 2022/08/05 14:10:06 - mmengine - INFO - Epoch(train) [230][200/1879] lr: 1.0000e-04 eta: 6:04:43 time: 0.4584 data_time: 0.0191 memory: 17087 grad_norm: 7.1543 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0907 loss: 1.0907 2022/08/05 14:10:15 - mmengine - INFO - Epoch(train) [230][220/1879] lr: 1.0000e-04 eta: 6:04:34 time: 0.4487 data_time: 0.0155 memory: 17087 grad_norm: 7.3673 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9770 loss: 0.9770 2022/08/05 14:10:24 - mmengine - INFO - Epoch(train) [230][240/1879] lr: 1.0000e-04 eta: 6:04:26 time: 0.4393 data_time: 0.0195 memory: 17087 grad_norm: 7.0454 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7094 loss: 0.7094 2022/08/05 14:10:32 - mmengine - INFO - Epoch(train) [230][260/1879] lr: 1.0000e-04 eta: 6:04:17 time: 0.4316 data_time: 0.0146 memory: 17087 grad_norm: 7.3189 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8731 loss: 0.8731 2022/08/05 14:10:42 - mmengine - INFO - Epoch(train) [230][280/1879] lr: 1.0000e-04 eta: 6:04:09 time: 0.4657 data_time: 0.0191 memory: 17087 grad_norm: 7.3094 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8275 loss: 0.8275 2022/08/05 14:10:50 - mmengine - INFO - Epoch(train) [230][300/1879] lr: 1.0000e-04 eta: 6:04:00 time: 0.4294 data_time: 0.0151 memory: 17087 grad_norm: 7.0971 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7797 loss: 0.7797 2022/08/05 14:10:59 - mmengine - INFO - Epoch(train) [230][320/1879] lr: 1.0000e-04 eta: 6:03:51 time: 0.4322 data_time: 0.0159 memory: 17087 grad_norm: 7.2141 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8544 loss: 0.8544 2022/08/05 14:11:09 - mmengine - INFO - Epoch(train) [230][340/1879] lr: 1.0000e-04 eta: 6:03:43 time: 0.4782 data_time: 0.0164 memory: 17087 grad_norm: 6.9812 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8667 loss: 0.8667 2022/08/05 14:11:17 - mmengine - INFO - Epoch(train) [230][360/1879] lr: 1.0000e-04 eta: 6:03:34 time: 0.4310 data_time: 0.0162 memory: 17087 grad_norm: 7.0463 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8080 loss: 0.8080 2022/08/05 14:11:26 - mmengine - INFO - Epoch(train) [230][380/1879] lr: 1.0000e-04 eta: 6:03:25 time: 0.4571 data_time: 0.0164 memory: 17087 grad_norm: 7.3070 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9439 loss: 0.9439 2022/08/05 14:11:35 - mmengine - INFO - Epoch(train) [230][400/1879] lr: 1.0000e-04 eta: 6:03:17 time: 0.4332 data_time: 0.0171 memory: 17087 grad_norm: 7.1641 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8388 loss: 0.8388 2022/08/05 14:11:44 - mmengine - INFO - Epoch(train) [230][420/1879] lr: 1.0000e-04 eta: 6:03:08 time: 0.4574 data_time: 0.0157 memory: 17087 grad_norm: 6.7617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7299 loss: 0.7299 2022/08/05 14:11:53 - mmengine - INFO - Epoch(train) [230][440/1879] lr: 1.0000e-04 eta: 6:02:59 time: 0.4337 data_time: 0.0201 memory: 17087 grad_norm: 6.9516 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8704 loss: 0.8704 2022/08/05 14:12:02 - mmengine - INFO - Epoch(train) [230][460/1879] lr: 1.0000e-04 eta: 6:02:51 time: 0.4453 data_time: 0.0149 memory: 17087 grad_norm: 7.1010 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8450 loss: 0.8450 2022/08/05 14:12:10 - mmengine - INFO - Epoch(train) [230][480/1879] lr: 1.0000e-04 eta: 6:02:42 time: 0.4311 data_time: 0.0175 memory: 17087 grad_norm: 7.1035 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8346 loss: 0.8346 2022/08/05 14:12:19 - mmengine - INFO - Epoch(train) [230][500/1879] lr: 1.0000e-04 eta: 6:02:33 time: 0.4348 data_time: 0.0140 memory: 17087 grad_norm: 7.0627 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7441 loss: 0.7441 2022/08/05 14:12:28 - mmengine - INFO - Epoch(train) [230][520/1879] lr: 1.0000e-04 eta: 6:02:25 time: 0.4408 data_time: 0.0159 memory: 17087 grad_norm: 7.0738 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7896 loss: 0.7896 2022/08/05 14:12:37 - mmengine - INFO - Epoch(train) [230][540/1879] lr: 1.0000e-04 eta: 6:02:16 time: 0.4313 data_time: 0.0138 memory: 17087 grad_norm: 7.0057 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8452 loss: 0.8452 2022/08/05 14:12:46 - mmengine - INFO - Epoch(train) [230][560/1879] lr: 1.0000e-04 eta: 6:02:08 time: 0.4616 data_time: 0.0174 memory: 17087 grad_norm: 7.0266 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7312 loss: 0.7312 2022/08/05 14:12:55 - mmengine - INFO - Epoch(train) [230][580/1879] lr: 1.0000e-04 eta: 6:01:59 time: 0.4319 data_time: 0.0165 memory: 17087 grad_norm: 7.3637 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8172 loss: 0.8172 2022/08/05 14:13:04 - mmengine - INFO - Epoch(train) [230][600/1879] lr: 1.0000e-04 eta: 6:01:50 time: 0.4590 data_time: 0.0184 memory: 17087 grad_norm: 7.0723 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8994 loss: 0.8994 2022/08/05 14:13:12 - mmengine - INFO - Epoch(train) [230][620/1879] lr: 1.0000e-04 eta: 6:01:42 time: 0.4308 data_time: 0.0144 memory: 17087 grad_norm: 7.1449 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8967 loss: 0.8967 2022/08/05 14:13:21 - mmengine - INFO - Epoch(train) [230][640/1879] lr: 1.0000e-04 eta: 6:01:33 time: 0.4465 data_time: 0.0177 memory: 17087 grad_norm: 7.1613 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9426 loss: 0.9426 2022/08/05 14:13:30 - mmengine - INFO - Epoch(train) [230][660/1879] lr: 1.0000e-04 eta: 6:01:24 time: 0.4311 data_time: 0.0149 memory: 17087 grad_norm: 6.9941 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9465 loss: 0.9465 2022/08/05 14:13:39 - mmengine - INFO - Epoch(train) [230][680/1879] lr: 1.0000e-04 eta: 6:01:16 time: 0.4305 data_time: 0.0166 memory: 17087 grad_norm: 6.9737 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8476 loss: 0.8476 2022/08/05 14:13:48 - mmengine - INFO - Epoch(train) [230][700/1879] lr: 1.0000e-04 eta: 6:01:07 time: 0.4638 data_time: 0.0173 memory: 17087 grad_norm: 7.0405 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8068 loss: 0.8068 2022/08/05 14:13:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 14:13:57 - mmengine - INFO - Epoch(train) [230][720/1879] lr: 1.0000e-04 eta: 6:00:58 time: 0.4366 data_time: 0.0216 memory: 17087 grad_norm: 7.1101 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8270 loss: 0.8270 2022/08/05 14:14:06 - mmengine - INFO - Epoch(train) [230][740/1879] lr: 1.0000e-04 eta: 6:00:50 time: 0.4400 data_time: 0.0169 memory: 17087 grad_norm: 6.9786 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8152 loss: 0.8152 2022/08/05 14:14:14 - mmengine - INFO - Epoch(train) [230][760/1879] lr: 1.0000e-04 eta: 6:00:41 time: 0.4339 data_time: 0.0191 memory: 17087 grad_norm: 7.0945 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8328 loss: 0.8328 2022/08/05 14:14:23 - mmengine - INFO - Epoch(train) [230][780/1879] lr: 1.0000e-04 eta: 6:00:32 time: 0.4394 data_time: 0.0157 memory: 17087 grad_norm: 7.0855 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9037 loss: 0.9037 2022/08/05 14:14:32 - mmengine - INFO - Epoch(train) [230][800/1879] lr: 1.0000e-04 eta: 6:00:24 time: 0.4330 data_time: 0.0169 memory: 17087 grad_norm: 7.0701 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8108 loss: 0.8108 2022/08/05 14:14:41 - mmengine - INFO - Epoch(train) [230][820/1879] lr: 1.0000e-04 eta: 6:00:15 time: 0.4378 data_time: 0.0173 memory: 17087 grad_norm: 7.0565 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7709 loss: 0.7709 2022/08/05 14:14:49 - mmengine - INFO - Epoch(train) [230][840/1879] lr: 1.0000e-04 eta: 6:00:06 time: 0.4315 data_time: 0.0163 memory: 17087 grad_norm: 7.1842 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6873 loss: 0.6873 2022/08/05 14:14:58 - mmengine - INFO - Epoch(train) [230][860/1879] lr: 1.0000e-04 eta: 5:59:58 time: 0.4295 data_time: 0.0145 memory: 17087 grad_norm: 7.1674 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8349 loss: 0.8349 2022/08/05 14:15:07 - mmengine - INFO - Epoch(train) [230][880/1879] lr: 1.0000e-04 eta: 5:59:49 time: 0.4643 data_time: 0.0197 memory: 17087 grad_norm: 6.9905 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7123 loss: 0.7123 2022/08/05 14:15:16 - mmengine - INFO - Epoch(train) [230][900/1879] lr: 1.0000e-04 eta: 5:59:41 time: 0.4316 data_time: 0.0155 memory: 17087 grad_norm: 7.3336 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8333 loss: 0.8333 2022/08/05 14:15:25 - mmengine - INFO - Epoch(train) [230][920/1879] lr: 1.0000e-04 eta: 5:59:32 time: 0.4437 data_time: 0.0186 memory: 17087 grad_norm: 6.9708 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7497 loss: 0.7497 2022/08/05 14:15:33 - mmengine - INFO - Epoch(train) [230][940/1879] lr: 1.0000e-04 eta: 5:59:23 time: 0.4304 data_time: 0.0136 memory: 17087 grad_norm: 7.0772 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7990 loss: 0.7990 2022/08/05 14:15:43 - mmengine - INFO - Epoch(train) [230][960/1879] lr: 1.0000e-04 eta: 5:59:15 time: 0.4691 data_time: 0.0192 memory: 17087 grad_norm: 7.1143 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7100 loss: 0.7100 2022/08/05 14:15:51 - mmengine - INFO - Epoch(train) [230][980/1879] lr: 1.0000e-04 eta: 5:59:06 time: 0.4310 data_time: 0.0143 memory: 17087 grad_norm: 7.1352 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7532 loss: 0.7532 2022/08/05 14:16:01 - mmengine - INFO - Epoch(train) [230][1000/1879] lr: 1.0000e-04 eta: 5:58:57 time: 0.4720 data_time: 0.0161 memory: 17087 grad_norm: 7.1437 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8573 loss: 0.8573 2022/08/05 14:16:10 - mmengine - INFO - Epoch(train) [230][1020/1879] lr: 1.0000e-04 eta: 5:58:49 time: 0.4399 data_time: 0.0158 memory: 17087 grad_norm: 7.3102 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7624 loss: 0.7624 2022/08/05 14:16:18 - mmengine - INFO - Epoch(train) [230][1040/1879] lr: 1.0000e-04 eta: 5:58:40 time: 0.4292 data_time: 0.0155 memory: 17087 grad_norm: 7.1525 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6672 loss: 0.6672 2022/08/05 14:16:27 - mmengine - INFO - Epoch(train) [230][1060/1879] lr: 1.0000e-04 eta: 5:58:32 time: 0.4510 data_time: 0.0171 memory: 17087 grad_norm: 7.0564 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7942 loss: 0.7942 2022/08/05 14:16:36 - mmengine - INFO - Epoch(train) [230][1080/1879] lr: 1.0000e-04 eta: 5:58:23 time: 0.4332 data_time: 0.0179 memory: 17087 grad_norm: 7.2172 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7738 loss: 0.7738 2022/08/05 14:16:45 - mmengine - INFO - Epoch(train) [230][1100/1879] lr: 1.0000e-04 eta: 5:58:14 time: 0.4564 data_time: 0.0160 memory: 17087 grad_norm: 7.2260 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8858 loss: 0.8858 2022/08/05 14:16:54 - mmengine - INFO - Epoch(train) [230][1120/1879] lr: 1.0000e-04 eta: 5:58:06 time: 0.4324 data_time: 0.0170 memory: 17087 grad_norm: 7.1444 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9546 loss: 0.9546 2022/08/05 14:17:03 - mmengine - INFO - Epoch(train) [230][1140/1879] lr: 1.0000e-04 eta: 5:57:57 time: 0.4363 data_time: 0.0150 memory: 17087 grad_norm: 7.0195 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9390 loss: 0.9390 2022/08/05 14:17:11 - mmengine - INFO - Epoch(train) [230][1160/1879] lr: 1.0000e-04 eta: 5:57:48 time: 0.4321 data_time: 0.0174 memory: 17087 grad_norm: 7.3767 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7499 loss: 0.7499 2022/08/05 14:17:20 - mmengine - INFO - Epoch(train) [230][1180/1879] lr: 1.0000e-04 eta: 5:57:40 time: 0.4297 data_time: 0.0153 memory: 17087 grad_norm: 7.0456 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7625 loss: 0.7625 2022/08/05 14:17:29 - mmengine - INFO - Epoch(train) [230][1200/1879] lr: 1.0000e-04 eta: 5:57:31 time: 0.4403 data_time: 0.0254 memory: 17087 grad_norm: 7.2758 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7478 loss: 0.7478 2022/08/05 14:17:37 - mmengine - INFO - Epoch(train) [230][1220/1879] lr: 1.0000e-04 eta: 5:57:22 time: 0.4298 data_time: 0.0141 memory: 17087 grad_norm: 7.1643 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7639 loss: 0.7639 2022/08/05 14:17:46 - mmengine - INFO - Epoch(train) [230][1240/1879] lr: 1.0000e-04 eta: 5:57:14 time: 0.4491 data_time: 0.0212 memory: 17087 grad_norm: 6.8133 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8482 loss: 0.8482 2022/08/05 14:17:55 - mmengine - INFO - Epoch(train) [230][1260/1879] lr: 1.0000e-04 eta: 5:57:05 time: 0.4307 data_time: 0.0133 memory: 17087 grad_norm: 7.1426 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7463 loss: 0.7463 2022/08/05 14:18:04 - mmengine - INFO - Epoch(train) [230][1280/1879] lr: 1.0000e-04 eta: 5:56:56 time: 0.4417 data_time: 0.0181 memory: 17087 grad_norm: 6.9973 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8910 loss: 0.8910 2022/08/05 14:18:12 - mmengine - INFO - Epoch(train) [230][1300/1879] lr: 1.0000e-04 eta: 5:56:48 time: 0.4319 data_time: 0.0159 memory: 17087 grad_norm: 6.9291 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.5927 loss: 0.5927 2022/08/05 14:18:22 - mmengine - INFO - Epoch(train) [230][1320/1879] lr: 1.0000e-04 eta: 5:56:39 time: 0.4619 data_time: 0.0169 memory: 17087 grad_norm: 7.1585 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9389 loss: 0.9389 2022/08/05 14:18:30 - mmengine - INFO - Epoch(train) [230][1340/1879] lr: 1.0000e-04 eta: 5:56:30 time: 0.4320 data_time: 0.0184 memory: 17087 grad_norm: 6.9392 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7123 loss: 0.7123 2022/08/05 14:18:39 - mmengine - INFO - Epoch(train) [230][1360/1879] lr: 1.0000e-04 eta: 5:56:22 time: 0.4309 data_time: 0.0168 memory: 17087 grad_norm: 7.2627 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8242 loss: 0.8242 2022/08/05 14:18:48 - mmengine - INFO - Epoch(train) [230][1380/1879] lr: 1.0000e-04 eta: 5:56:13 time: 0.4372 data_time: 0.0154 memory: 17087 grad_norm: 7.1757 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9198 loss: 0.9198 2022/08/05 14:18:56 - mmengine - INFO - Epoch(train) [230][1400/1879] lr: 1.0000e-04 eta: 5:56:04 time: 0.4322 data_time: 0.0177 memory: 17087 grad_norm: 7.0197 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6978 loss: 0.6978 2022/08/05 14:19:06 - mmengine - INFO - Epoch(train) [230][1420/1879] lr: 1.0000e-04 eta: 5:55:56 time: 0.4552 data_time: 0.0151 memory: 17087 grad_norm: 7.2123 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9854 loss: 0.9854 2022/08/05 14:19:14 - mmengine - INFO - Epoch(train) [230][1440/1879] lr: 1.0000e-04 eta: 5:55:47 time: 0.4338 data_time: 0.0182 memory: 17087 grad_norm: 7.2950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8241 loss: 0.8241 2022/08/05 14:19:23 - mmengine - INFO - Epoch(train) [230][1460/1879] lr: 1.0000e-04 eta: 5:55:39 time: 0.4390 data_time: 0.0152 memory: 17087 grad_norm: 7.2097 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8140 loss: 0.8140 2022/08/05 14:19:32 - mmengine - INFO - Epoch(train) [230][1480/1879] lr: 1.0000e-04 eta: 5:55:30 time: 0.4323 data_time: 0.0189 memory: 17087 grad_norm: 7.3550 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9654 loss: 0.9654 2022/08/05 14:19:41 - mmengine - INFO - Epoch(train) [230][1500/1879] lr: 1.0000e-04 eta: 5:55:21 time: 0.4671 data_time: 0.0129 memory: 17087 grad_norm: 6.9032 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7107 loss: 0.7107 2022/08/05 14:19:50 - mmengine - INFO - Epoch(train) [230][1520/1879] lr: 1.0000e-04 eta: 5:55:13 time: 0.4358 data_time: 0.0179 memory: 17087 grad_norm: 7.1204 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8016 loss: 0.8016 2022/08/05 14:19:59 - mmengine - INFO - Epoch(train) [230][1540/1879] lr: 1.0000e-04 eta: 5:55:04 time: 0.4299 data_time: 0.0150 memory: 17087 grad_norm: 7.2613 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8172 loss: 0.8172 2022/08/05 14:20:08 - mmengine - INFO - Epoch(train) [230][1560/1879] lr: 1.0000e-04 eta: 5:54:55 time: 0.4635 data_time: 0.0174 memory: 17087 grad_norm: 7.3783 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8877 loss: 0.8877 2022/08/05 14:20:17 - mmengine - INFO - Epoch(train) [230][1580/1879] lr: 1.0000e-04 eta: 5:54:47 time: 0.4378 data_time: 0.0143 memory: 17087 grad_norm: 7.2333 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8363 loss: 0.8363 2022/08/05 14:20:26 - mmengine - INFO - Epoch(train) [230][1600/1879] lr: 1.0000e-04 eta: 5:54:38 time: 0.4543 data_time: 0.0157 memory: 17087 grad_norm: 7.1545 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8674 loss: 0.8674 2022/08/05 14:20:34 - mmengine - INFO - Epoch(train) [230][1620/1879] lr: 1.0000e-04 eta: 5:54:29 time: 0.4310 data_time: 0.0148 memory: 17087 grad_norm: 6.9138 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9197 loss: 0.9197 2022/08/05 14:20:43 - mmengine - INFO - Epoch(train) [230][1640/1879] lr: 1.0000e-04 eta: 5:54:21 time: 0.4397 data_time: 0.0192 memory: 17087 grad_norm: 7.1523 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7980 loss: 0.7980 2022/08/05 14:20:52 - mmengine - INFO - Epoch(train) [230][1660/1879] lr: 1.0000e-04 eta: 5:54:12 time: 0.4320 data_time: 0.0160 memory: 17087 grad_norm: 7.3855 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7202 loss: 0.7202 2022/08/05 14:21:01 - mmengine - INFO - Epoch(train) [230][1680/1879] lr: 1.0000e-04 eta: 5:54:03 time: 0.4395 data_time: 0.0175 memory: 17087 grad_norm: 7.1904 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9307 loss: 0.9307 2022/08/05 14:21:09 - mmengine - INFO - Epoch(train) [230][1700/1879] lr: 1.0000e-04 eta: 5:53:55 time: 0.4322 data_time: 0.0149 memory: 17087 grad_norm: 7.0720 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8691 loss: 0.8691 2022/08/05 14:21:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 14:21:18 - mmengine - INFO - Epoch(train) [230][1720/1879] lr: 1.0000e-04 eta: 5:53:46 time: 0.4349 data_time: 0.0177 memory: 17087 grad_norm: 7.3473 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8520 loss: 0.8520 2022/08/05 14:21:27 - mmengine - INFO - Epoch(train) [230][1740/1879] lr: 1.0000e-04 eta: 5:53:37 time: 0.4301 data_time: 0.0153 memory: 17087 grad_norm: 7.1813 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8624 loss: 0.8624 2022/08/05 14:21:36 - mmengine - INFO - Epoch(train) [230][1760/1879] lr: 1.0000e-04 eta: 5:53:29 time: 0.4492 data_time: 0.0157 memory: 17087 grad_norm: 7.2507 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7632 loss: 0.7632 2022/08/05 14:21:44 - mmengine - INFO - Epoch(train) [230][1780/1879] lr: 1.0000e-04 eta: 5:53:20 time: 0.4297 data_time: 0.0165 memory: 17087 grad_norm: 7.0719 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8977 loss: 0.8977 2022/08/05 14:21:53 - mmengine - INFO - Epoch(train) [230][1800/1879] lr: 1.0000e-04 eta: 5:53:12 time: 0.4427 data_time: 0.0178 memory: 17087 grad_norm: 6.9921 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7894 loss: 0.7894 2022/08/05 14:22:02 - mmengine - INFO - Epoch(train) [230][1820/1879] lr: 1.0000e-04 eta: 5:53:03 time: 0.4302 data_time: 0.0141 memory: 17087 grad_norm: 7.2073 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9094 loss: 0.9094 2022/08/05 14:22:11 - mmengine - INFO - Epoch(train) [230][1840/1879] lr: 1.0000e-04 eta: 5:52:54 time: 0.4408 data_time: 0.0169 memory: 17087 grad_norm: 7.2777 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8940 loss: 0.8940 2022/08/05 14:22:20 - mmengine - INFO - Epoch(train) [230][1860/1879] lr: 1.0000e-04 eta: 5:52:46 time: 0.4525 data_time: 0.0172 memory: 17087 grad_norm: 7.1759 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7944 loss: 0.7944 2022/08/05 14:22:28 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 14:22:28 - mmengine - INFO - Epoch(train) [230][1879/1879] lr: 1.0000e-04 eta: 5:52:46 time: 0.4129 data_time: 0.0147 memory: 17087 grad_norm: 7.2273 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.7872 loss: 0.7872 2022/08/05 14:22:35 - mmengine - INFO - Epoch(val) [230][20/155] eta: 0:00:49 time: 0.3641 data_time: 0.1905 memory: 2821 2022/08/05 14:22:40 - mmengine - INFO - Epoch(val) [230][40/155] eta: 0:00:29 time: 0.2527 data_time: 0.0863 memory: 2821 2022/08/05 14:22:46 - mmengine - INFO - Epoch(val) [230][60/155] eta: 0:00:30 time: 0.3184 data_time: 0.1518 memory: 2821 2022/08/05 14:22:52 - mmengine - INFO - Epoch(val) [230][80/155] eta: 0:00:19 time: 0.2624 data_time: 0.0924 memory: 2821 2022/08/05 14:22:58 - mmengine - INFO - Epoch(val) [230][100/155] eta: 0:00:17 time: 0.3206 data_time: 0.1508 memory: 2821 2022/08/05 14:23:03 - mmengine - INFO - Epoch(val) [230][120/155] eta: 0:00:09 time: 0.2620 data_time: 0.0935 memory: 2821 2022/08/05 14:23:09 - mmengine - INFO - Epoch(val) [230][140/155] eta: 0:00:04 time: 0.2931 data_time: 0.1248 memory: 2821 2022/08/05 14:23:15 - mmengine - INFO - Epoch(val) [230][155/155] acc/top1: 0.6985 acc/top5: 0.8814 acc/mean1: 0.6983 2022/08/05 14:23:26 - mmengine - INFO - Epoch(train) [231][20/1879] lr: 1.0000e-04 eta: 5:52:28 time: 0.5535 data_time: 0.1005 memory: 17087 grad_norm: 7.2448 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7424 loss: 0.7424 2022/08/05 14:23:35 - mmengine - INFO - Epoch(train) [231][40/1879] lr: 1.0000e-04 eta: 5:52:19 time: 0.4700 data_time: 0.0236 memory: 17087 grad_norm: 7.3135 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9535 loss: 0.9535 2022/08/05 14:23:44 - mmengine - INFO - Epoch(train) [231][60/1879] lr: 1.0000e-04 eta: 5:52:11 time: 0.4310 data_time: 0.0151 memory: 17087 grad_norm: 7.4204 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8732 loss: 0.8732 2022/08/05 14:23:53 - mmengine - INFO - Epoch(train) [231][80/1879] lr: 1.0000e-04 eta: 5:52:02 time: 0.4770 data_time: 0.0258 memory: 17087 grad_norm: 6.9295 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7753 loss: 0.7753 2022/08/05 14:24:02 - mmengine - INFO - Epoch(train) [231][100/1879] lr: 1.0000e-04 eta: 5:51:54 time: 0.4292 data_time: 0.0144 memory: 17087 grad_norm: 6.9149 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8847 loss: 0.8847 2022/08/05 14:24:11 - mmengine - INFO - Epoch(train) [231][120/1879] lr: 1.0000e-04 eta: 5:51:45 time: 0.4423 data_time: 0.0221 memory: 17087 grad_norm: 7.2902 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8510 loss: 0.8510 2022/08/05 14:24:20 - mmengine - INFO - Epoch(train) [231][140/1879] lr: 1.0000e-04 eta: 5:51:36 time: 0.4517 data_time: 0.0156 memory: 17087 grad_norm: 6.8109 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7499 loss: 0.7499 2022/08/05 14:24:29 - mmengine - INFO - Epoch(train) [231][160/1879] lr: 1.0000e-04 eta: 5:51:28 time: 0.4326 data_time: 0.0165 memory: 17087 grad_norm: 7.1740 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8705 loss: 0.8705 2022/08/05 14:24:38 - mmengine - INFO - Epoch(train) [231][180/1879] lr: 1.0000e-04 eta: 5:51:19 time: 0.4491 data_time: 0.0205 memory: 17087 grad_norm: 7.1841 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9405 loss: 0.9405 2022/08/05 14:24:46 - mmengine - INFO - Epoch(train) [231][200/1879] lr: 1.0000e-04 eta: 5:51:10 time: 0.4317 data_time: 0.0162 memory: 17087 grad_norm: 7.0886 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7641 loss: 0.7641 2022/08/05 14:24:55 - mmengine - INFO - Epoch(train) [231][220/1879] lr: 1.0000e-04 eta: 5:51:02 time: 0.4363 data_time: 0.0158 memory: 17087 grad_norm: 7.3701 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8475 loss: 0.8475 2022/08/05 14:25:04 - mmengine - INFO - Epoch(train) [231][240/1879] lr: 1.0000e-04 eta: 5:50:53 time: 0.4323 data_time: 0.0186 memory: 17087 grad_norm: 6.8858 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7788 loss: 0.7788 2022/08/05 14:25:12 - mmengine - INFO - Epoch(train) [231][260/1879] lr: 1.0000e-04 eta: 5:50:44 time: 0.4388 data_time: 0.0166 memory: 17087 grad_norm: 7.1045 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8520 loss: 0.8520 2022/08/05 14:25:21 - mmengine - INFO - Epoch(train) [231][280/1879] lr: 1.0000e-04 eta: 5:50:36 time: 0.4349 data_time: 0.0162 memory: 17087 grad_norm: 7.3022 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6669 loss: 0.6669 2022/08/05 14:25:30 - mmengine - INFO - Epoch(train) [231][300/1879] lr: 1.0000e-04 eta: 5:50:27 time: 0.4313 data_time: 0.0132 memory: 17087 grad_norm: 7.2911 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8960 loss: 0.8960 2022/08/05 14:25:39 - mmengine - INFO - Epoch(train) [231][320/1879] lr: 1.0000e-04 eta: 5:50:18 time: 0.4385 data_time: 0.0205 memory: 17087 grad_norm: 7.1518 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7567 loss: 0.7567 2022/08/05 14:25:47 - mmengine - INFO - Epoch(train) [231][340/1879] lr: 1.0000e-04 eta: 5:50:10 time: 0.4397 data_time: 0.0172 memory: 17087 grad_norm: 7.0012 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8696 loss: 0.8696 2022/08/05 14:25:56 - mmengine - INFO - Epoch(train) [231][360/1879] lr: 1.0000e-04 eta: 5:50:01 time: 0.4321 data_time: 0.0185 memory: 17087 grad_norm: 7.1498 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7033 loss: 0.7033 2022/08/05 14:26:05 - mmengine - INFO - Epoch(train) [231][380/1879] lr: 1.0000e-04 eta: 5:49:53 time: 0.4516 data_time: 0.0155 memory: 17087 grad_norm: 7.1686 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6932 loss: 0.6932 2022/08/05 14:26:14 - mmengine - INFO - Epoch(train) [231][400/1879] lr: 1.0000e-04 eta: 5:49:44 time: 0.4392 data_time: 0.0160 memory: 17087 grad_norm: 6.9140 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8415 loss: 0.8415 2022/08/05 14:26:23 - mmengine - INFO - Epoch(train) [231][420/1879] lr: 1.0000e-04 eta: 5:49:35 time: 0.4487 data_time: 0.0140 memory: 17087 grad_norm: 7.3670 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7712 loss: 0.7712 2022/08/05 14:26:32 - mmengine - INFO - Epoch(train) [231][440/1879] lr: 1.0000e-04 eta: 5:49:27 time: 0.4389 data_time: 0.0182 memory: 17087 grad_norm: 6.9854 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7994 loss: 0.7994 2022/08/05 14:26:40 - mmengine - INFO - Epoch(train) [231][460/1879] lr: 1.0000e-04 eta: 5:49:18 time: 0.4302 data_time: 0.0143 memory: 17087 grad_norm: 7.0537 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7419 loss: 0.7419 2022/08/05 14:26:50 - mmengine - INFO - Epoch(train) [231][480/1879] lr: 1.0000e-04 eta: 5:49:09 time: 0.4582 data_time: 0.0180 memory: 17087 grad_norm: 7.4508 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7336 loss: 0.7336 2022/08/05 14:26:58 - mmengine - INFO - Epoch(train) [231][500/1879] lr: 1.0000e-04 eta: 5:49:01 time: 0.4335 data_time: 0.0145 memory: 17087 grad_norm: 7.2362 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8089 loss: 0.8089 2022/08/05 14:27:07 - mmengine - INFO - Epoch(train) [231][520/1879] lr: 1.0000e-04 eta: 5:48:52 time: 0.4479 data_time: 0.0177 memory: 17087 grad_norm: 7.4691 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0651 loss: 1.0651 2022/08/05 14:27:16 - mmengine - INFO - Epoch(train) [231][540/1879] lr: 1.0000e-04 eta: 5:48:43 time: 0.4311 data_time: 0.0149 memory: 17087 grad_norm: 7.4145 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8036 loss: 0.8036 2022/08/05 14:27:25 - mmengine - INFO - Epoch(train) [231][560/1879] lr: 1.0000e-04 eta: 5:48:35 time: 0.4488 data_time: 0.0177 memory: 17087 grad_norm: 7.1419 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7215 loss: 0.7215 2022/08/05 14:27:34 - mmengine - INFO - Epoch(train) [231][580/1879] lr: 1.0000e-04 eta: 5:48:26 time: 0.4325 data_time: 0.0190 memory: 17087 grad_norm: 6.8423 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6556 loss: 0.6556 2022/08/05 14:27:42 - mmengine - INFO - Epoch(train) [231][600/1879] lr: 1.0000e-04 eta: 5:48:17 time: 0.4444 data_time: 0.0179 memory: 17087 grad_norm: 7.0853 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9801 loss: 0.9801 2022/08/05 14:27:51 - mmengine - INFO - Epoch(train) [231][620/1879] lr: 1.0000e-04 eta: 5:48:09 time: 0.4320 data_time: 0.0150 memory: 17087 grad_norm: 7.0833 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8940 loss: 0.8940 2022/08/05 14:28:00 - mmengine - INFO - Epoch(train) [231][640/1879] lr: 1.0000e-04 eta: 5:48:00 time: 0.4299 data_time: 0.0169 memory: 17087 grad_norm: 6.9855 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8033 loss: 0.8033 2022/08/05 14:28:09 - mmengine - INFO - Epoch(train) [231][660/1879] lr: 1.0000e-04 eta: 5:47:51 time: 0.4377 data_time: 0.0173 memory: 17087 grad_norm: 7.1805 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8033 loss: 0.8033 2022/08/05 14:28:17 - mmengine - INFO - Epoch(train) [231][680/1879] lr: 1.0000e-04 eta: 5:47:43 time: 0.4323 data_time: 0.0160 memory: 17087 grad_norm: 7.0436 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8139 loss: 0.8139 2022/08/05 14:28:26 - mmengine - INFO - Epoch(train) [231][700/1879] lr: 1.0000e-04 eta: 5:47:34 time: 0.4358 data_time: 0.0160 memory: 17087 grad_norm: 7.2104 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8952 loss: 0.8952 2022/08/05 14:28:35 - mmengine - INFO - Epoch(train) [231][720/1879] lr: 1.0000e-04 eta: 5:47:25 time: 0.4312 data_time: 0.0172 memory: 17087 grad_norm: 7.1001 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9019 loss: 0.9019 2022/08/05 14:28:44 - mmengine - INFO - Epoch(train) [231][740/1879] lr: 1.0000e-04 eta: 5:47:17 time: 0.4609 data_time: 0.0154 memory: 17087 grad_norm: 7.3505 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6928 loss: 0.6928 2022/08/05 14:28:53 - mmengine - INFO - Epoch(train) [231][760/1879] lr: 1.0000e-04 eta: 5:47:08 time: 0.4396 data_time: 0.0221 memory: 17087 grad_norm: 7.1177 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8344 loss: 0.8344 2022/08/05 14:29:01 - mmengine - INFO - Epoch(train) [231][780/1879] lr: 1.0000e-04 eta: 5:47:00 time: 0.4346 data_time: 0.0152 memory: 17087 grad_norm: 7.0563 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8602 loss: 0.8602 2022/08/05 14:29:11 - mmengine - INFO - Epoch(train) [231][800/1879] lr: 1.0000e-04 eta: 5:46:51 time: 0.4567 data_time: 0.0184 memory: 17087 grad_norm: 7.0997 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7450 loss: 0.7450 2022/08/05 14:29:19 - mmengine - INFO - Epoch(train) [231][820/1879] lr: 1.0000e-04 eta: 5:46:42 time: 0.4302 data_time: 0.0143 memory: 17087 grad_norm: 7.0331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6875 loss: 0.6875 2022/08/05 14:29:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 14:29:29 - mmengine - INFO - Epoch(train) [231][840/1879] lr: 1.0000e-04 eta: 5:46:34 time: 0.4906 data_time: 0.0247 memory: 17087 grad_norm: 7.2589 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8159 loss: 0.8159 2022/08/05 14:29:38 - mmengine - INFO - Epoch(train) [231][860/1879] lr: 1.0000e-04 eta: 5:46:25 time: 0.4431 data_time: 0.0194 memory: 17087 grad_norm: 7.0145 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7442 loss: 0.7442 2022/08/05 14:29:47 - mmengine - INFO - Epoch(train) [231][880/1879] lr: 1.0000e-04 eta: 5:46:16 time: 0.4328 data_time: 0.0158 memory: 17087 grad_norm: 7.3632 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7538 loss: 0.7538 2022/08/05 14:29:56 - mmengine - INFO - Epoch(train) [231][900/1879] lr: 1.0000e-04 eta: 5:46:08 time: 0.4601 data_time: 0.0178 memory: 17087 grad_norm: 6.9571 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9224 loss: 0.9224 2022/08/05 14:30:04 - mmengine - INFO - Epoch(train) [231][920/1879] lr: 1.0000e-04 eta: 5:45:59 time: 0.4321 data_time: 0.0165 memory: 17087 grad_norm: 7.0763 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6902 loss: 0.6902 2022/08/05 14:30:16 - mmengine - INFO - Epoch(train) [231][940/1879] lr: 1.0000e-04 eta: 5:45:51 time: 0.5993 data_time: 0.0168 memory: 17087 grad_norm: 6.9945 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9354 loss: 0.9354 2022/08/05 14:30:25 - mmengine - INFO - Epoch(train) [231][960/1879] lr: 1.0000e-04 eta: 5:45:42 time: 0.4346 data_time: 0.0193 memory: 17087 grad_norm: 7.2272 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8971 loss: 0.8971 2022/08/05 14:30:34 - mmengine - INFO - Epoch(train) [231][980/1879] lr: 1.0000e-04 eta: 5:45:34 time: 0.4415 data_time: 0.0211 memory: 17087 grad_norm: 7.1173 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7996 loss: 0.7996 2022/08/05 14:30:43 - mmengine - INFO - Epoch(train) [231][1000/1879] lr: 1.0000e-04 eta: 5:45:25 time: 0.4327 data_time: 0.0169 memory: 17087 grad_norm: 7.0467 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8413 loss: 0.8413 2022/08/05 14:30:51 - mmengine - INFO - Epoch(train) [231][1020/1879] lr: 1.0000e-04 eta: 5:45:16 time: 0.4338 data_time: 0.0145 memory: 17087 grad_norm: 7.2589 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7805 loss: 0.7805 2022/08/05 14:31:00 - mmengine - INFO - Epoch(train) [231][1040/1879] lr: 1.0000e-04 eta: 5:45:08 time: 0.4501 data_time: 0.0177 memory: 17087 grad_norm: 6.9871 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9440 loss: 0.9440 2022/08/05 14:31:09 - mmengine - INFO - Epoch(train) [231][1060/1879] lr: 1.0000e-04 eta: 5:44:59 time: 0.4310 data_time: 0.0147 memory: 17087 grad_norm: 7.1347 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7751 loss: 0.7751 2022/08/05 14:31:19 - mmengine - INFO - Epoch(train) [231][1080/1879] lr: 1.0000e-04 eta: 5:44:50 time: 0.4831 data_time: 0.0183 memory: 17087 grad_norm: 6.8262 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8825 loss: 0.8825 2022/08/05 14:31:27 - mmengine - INFO - Epoch(train) [231][1100/1879] lr: 1.0000e-04 eta: 5:44:42 time: 0.4297 data_time: 0.0154 memory: 17087 grad_norm: 6.9789 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7519 loss: 0.7519 2022/08/05 14:31:37 - mmengine - INFO - Epoch(train) [231][1120/1879] lr: 1.0000e-04 eta: 5:44:33 time: 0.4895 data_time: 0.0162 memory: 17087 grad_norm: 7.2597 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7055 loss: 0.7055 2022/08/05 14:31:46 - mmengine - INFO - Epoch(train) [231][1140/1879] lr: 1.0000e-04 eta: 5:44:25 time: 0.4308 data_time: 0.0151 memory: 17087 grad_norm: 7.1889 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7143 loss: 0.7143 2022/08/05 14:31:55 - mmengine - INFO - Epoch(train) [231][1160/1879] lr: 1.0000e-04 eta: 5:44:16 time: 0.4526 data_time: 0.0183 memory: 17087 grad_norm: 6.9722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7511 loss: 0.7511 2022/08/05 14:32:04 - mmengine - INFO - Epoch(train) [231][1180/1879] lr: 1.0000e-04 eta: 5:44:07 time: 0.4297 data_time: 0.0146 memory: 17087 grad_norm: 7.3774 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9542 loss: 0.9542 2022/08/05 14:32:13 - mmengine - INFO - Epoch(train) [231][1200/1879] lr: 1.0000e-04 eta: 5:43:59 time: 0.4538 data_time: 0.0173 memory: 17087 grad_norm: 7.2657 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8282 loss: 0.8282 2022/08/05 14:32:21 - mmengine - INFO - Epoch(train) [231][1220/1879] lr: 1.0000e-04 eta: 5:43:50 time: 0.4309 data_time: 0.0178 memory: 17087 grad_norm: 6.8672 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6641 loss: 0.6641 2022/08/05 14:32:30 - mmengine - INFO - Epoch(train) [231][1240/1879] lr: 1.0000e-04 eta: 5:43:41 time: 0.4313 data_time: 0.0162 memory: 17087 grad_norm: 7.1475 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8818 loss: 0.8818 2022/08/05 14:32:39 - mmengine - INFO - Epoch(train) [231][1260/1879] lr: 1.0000e-04 eta: 5:43:33 time: 0.4369 data_time: 0.0158 memory: 17087 grad_norm: 7.0128 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7580 loss: 0.7580 2022/08/05 14:32:47 - mmengine - INFO - Epoch(train) [231][1280/1879] lr: 1.0000e-04 eta: 5:43:24 time: 0.4345 data_time: 0.0174 memory: 17087 grad_norm: 7.0650 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7394 loss: 0.7394 2022/08/05 14:32:57 - mmengine - INFO - Epoch(train) [231][1300/1879] lr: 1.0000e-04 eta: 5:43:15 time: 0.4614 data_time: 0.0150 memory: 17087 grad_norm: 7.1931 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7524 loss: 0.7524 2022/08/05 14:33:06 - mmengine - INFO - Epoch(train) [231][1320/1879] lr: 1.0000e-04 eta: 5:43:07 time: 0.4437 data_time: 0.0203 memory: 17087 grad_norm: 7.2818 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8958 loss: 0.8958 2022/08/05 14:33:14 - mmengine - INFO - Epoch(train) [231][1340/1879] lr: 1.0000e-04 eta: 5:42:58 time: 0.4318 data_time: 0.0131 memory: 17087 grad_norm: 7.2970 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7412 loss: 0.7412 2022/08/05 14:33:23 - mmengine - INFO - Epoch(train) [231][1360/1879] lr: 1.0000e-04 eta: 5:42:49 time: 0.4393 data_time: 0.0199 memory: 17087 grad_norm: 6.9977 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9444 loss: 0.9444 2022/08/05 14:33:32 - mmengine - INFO - Epoch(train) [231][1380/1879] lr: 1.0000e-04 eta: 5:42:41 time: 0.4428 data_time: 0.0148 memory: 17087 grad_norm: 7.5310 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8902 loss: 0.8902 2022/08/05 14:33:41 - mmengine - INFO - Epoch(train) [231][1400/1879] lr: 1.0000e-04 eta: 5:42:32 time: 0.4310 data_time: 0.0188 memory: 17087 grad_norm: 7.1397 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8155 loss: 0.8155 2022/08/05 14:33:49 - mmengine - INFO - Epoch(train) [231][1420/1879] lr: 1.0000e-04 eta: 5:42:23 time: 0.4378 data_time: 0.0163 memory: 17087 grad_norm: 7.4769 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8135 loss: 0.8135 2022/08/05 14:33:58 - mmengine - INFO - Epoch(train) [231][1440/1879] lr: 1.0000e-04 eta: 5:42:15 time: 0.4333 data_time: 0.0183 memory: 17087 grad_norm: 7.0993 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8480 loss: 0.8480 2022/08/05 14:34:07 - mmengine - INFO - Epoch(train) [231][1460/1879] lr: 1.0000e-04 eta: 5:42:06 time: 0.4341 data_time: 0.0154 memory: 17087 grad_norm: 6.8639 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6576 loss: 0.6576 2022/08/05 14:34:15 - mmengine - INFO - Epoch(train) [231][1480/1879] lr: 1.0000e-04 eta: 5:41:58 time: 0.4354 data_time: 0.0167 memory: 17087 grad_norm: 7.0152 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6478 loss: 0.6478 2022/08/05 14:34:24 - mmengine - INFO - Epoch(train) [231][1500/1879] lr: 1.0000e-04 eta: 5:41:49 time: 0.4407 data_time: 0.0161 memory: 17087 grad_norm: 7.1618 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9986 loss: 0.9986 2022/08/05 14:34:33 - mmengine - INFO - Epoch(train) [231][1520/1879] lr: 1.0000e-04 eta: 5:41:40 time: 0.4345 data_time: 0.0185 memory: 17087 grad_norm: 7.0109 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8243 loss: 0.8243 2022/08/05 14:34:42 - mmengine - INFO - Epoch(train) [231][1540/1879] lr: 1.0000e-04 eta: 5:41:32 time: 0.4339 data_time: 0.0162 memory: 17087 grad_norm: 7.1966 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7568 loss: 0.7568 2022/08/05 14:34:50 - mmengine - INFO - Epoch(train) [231][1560/1879] lr: 1.0000e-04 eta: 5:41:23 time: 0.4334 data_time: 0.0177 memory: 17087 grad_norm: 7.3851 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8004 loss: 0.8004 2022/08/05 14:34:59 - mmengine - INFO - Epoch(train) [231][1580/1879] lr: 1.0000e-04 eta: 5:41:14 time: 0.4350 data_time: 0.0149 memory: 17087 grad_norm: 7.0978 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8066 loss: 0.8066 2022/08/05 14:35:08 - mmengine - INFO - Epoch(train) [231][1600/1879] lr: 1.0000e-04 eta: 5:41:06 time: 0.4655 data_time: 0.0169 memory: 17087 grad_norm: 7.2780 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8028 loss: 0.8028 2022/08/05 14:35:17 - mmengine - INFO - Epoch(train) [231][1620/1879] lr: 1.0000e-04 eta: 5:40:57 time: 0.4395 data_time: 0.0141 memory: 17087 grad_norm: 7.3474 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9372 loss: 0.9372 2022/08/05 14:35:27 - mmengine - INFO - Epoch(train) [231][1640/1879] lr: 1.0000e-04 eta: 5:40:48 time: 0.4688 data_time: 0.0194 memory: 17087 grad_norm: 7.2364 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9504 loss: 0.9504 2022/08/05 14:35:35 - mmengine - INFO - Epoch(train) [231][1660/1879] lr: 1.0000e-04 eta: 5:40:40 time: 0.4391 data_time: 0.0190 memory: 17087 grad_norm: 7.1742 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7272 loss: 0.7272 2022/08/05 14:35:45 - mmengine - INFO - Epoch(train) [231][1680/1879] lr: 1.0000e-04 eta: 5:40:31 time: 0.4652 data_time: 0.0195 memory: 17087 grad_norm: 7.1923 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7305 loss: 0.7305 2022/08/05 14:35:54 - mmengine - INFO - Epoch(train) [231][1700/1879] lr: 1.0000e-04 eta: 5:40:23 time: 0.4515 data_time: 0.0192 memory: 17087 grad_norm: 7.1625 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8000 loss: 0.8000 2022/08/05 14:36:03 - mmengine - INFO - Epoch(train) [231][1720/1879] lr: 1.0000e-04 eta: 5:40:14 time: 0.4324 data_time: 0.0162 memory: 17087 grad_norm: 7.0924 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8942 loss: 0.8942 2022/08/05 14:36:11 - mmengine - INFO - Epoch(train) [231][1740/1879] lr: 1.0000e-04 eta: 5:40:05 time: 0.4322 data_time: 0.0136 memory: 17087 grad_norm: 7.3918 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8686 loss: 0.8686 2022/08/05 14:36:21 - mmengine - INFO - Epoch(train) [231][1760/1879] lr: 1.0000e-04 eta: 5:39:57 time: 0.4709 data_time: 0.0181 memory: 17087 grad_norm: 7.1061 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7967 loss: 0.7967 2022/08/05 14:36:29 - mmengine - INFO - Epoch(train) [231][1780/1879] lr: 1.0000e-04 eta: 5:39:48 time: 0.4344 data_time: 0.0168 memory: 17087 grad_norm: 7.1227 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7298 loss: 0.7298 2022/08/05 14:36:38 - mmengine - INFO - Epoch(train) [231][1800/1879] lr: 1.0000e-04 eta: 5:39:39 time: 0.4491 data_time: 0.0158 memory: 17087 grad_norm: 7.1354 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8191 loss: 0.8191 2022/08/05 14:36:47 - mmengine - INFO - Epoch(train) [231][1820/1879] lr: 1.0000e-04 eta: 5:39:31 time: 0.4319 data_time: 0.0151 memory: 17087 grad_norm: 7.1741 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8251 loss: 0.8251 2022/08/05 14:36:51 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 14:36:57 - mmengine - INFO - Epoch(train) [231][1840/1879] lr: 1.0000e-04 eta: 5:39:22 time: 0.4748 data_time: 0.0189 memory: 17087 grad_norm: 7.0150 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8069 loss: 0.8069 2022/08/05 14:37:05 - mmengine - INFO - Epoch(train) [231][1860/1879] lr: 1.0000e-04 eta: 5:39:13 time: 0.4316 data_time: 0.0150 memory: 17087 grad_norm: 7.1006 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8002 loss: 0.8002 2022/08/05 14:37:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 14:37:13 - mmengine - INFO - Epoch(train) [231][1879/1879] lr: 1.0000e-04 eta: 5:39:13 time: 0.4169 data_time: 0.0165 memory: 17087 grad_norm: 7.4672 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8841 loss: 0.8841 2022/08/05 14:37:25 - mmengine - INFO - Epoch(train) [232][20/1879] lr: 1.0000e-04 eta: 5:38:56 time: 0.5853 data_time: 0.1428 memory: 17087 grad_norm: 6.8120 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.5693 loss: 0.5693 2022/08/05 14:37:35 - mmengine - INFO - Epoch(train) [232][40/1879] lr: 1.0000e-04 eta: 5:38:47 time: 0.4782 data_time: 0.0197 memory: 17087 grad_norm: 6.8527 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7809 loss: 0.7809 2022/08/05 14:37:43 - mmengine - INFO - Epoch(train) [232][60/1879] lr: 1.0000e-04 eta: 5:38:39 time: 0.4299 data_time: 0.0143 memory: 17087 grad_norm: 7.2473 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6750 loss: 0.6750 2022/08/05 14:37:52 - mmengine - INFO - Epoch(train) [232][80/1879] lr: 1.0000e-04 eta: 5:38:30 time: 0.4335 data_time: 0.0155 memory: 17087 grad_norm: 6.8762 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8611 loss: 0.8611 2022/08/05 14:38:01 - mmengine - INFO - Epoch(train) [232][100/1879] lr: 1.0000e-04 eta: 5:38:21 time: 0.4389 data_time: 0.0215 memory: 17087 grad_norm: 6.6805 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6322 loss: 0.6322 2022/08/05 14:38:09 - mmengine - INFO - Epoch(train) [232][120/1879] lr: 1.0000e-04 eta: 5:38:13 time: 0.4327 data_time: 0.0182 memory: 17087 grad_norm: 7.3557 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9577 loss: 0.9577 2022/08/05 14:38:19 - mmengine - INFO - Epoch(train) [232][140/1879] lr: 1.0000e-04 eta: 5:38:04 time: 0.4691 data_time: 0.0185 memory: 17087 grad_norm: 7.3002 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8738 loss: 0.8738 2022/08/05 14:38:27 - mmengine - INFO - Epoch(train) [232][160/1879] lr: 1.0000e-04 eta: 5:37:56 time: 0.4332 data_time: 0.0165 memory: 17087 grad_norm: 7.3191 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8233 loss: 0.8233 2022/08/05 14:38:36 - mmengine - INFO - Epoch(train) [232][180/1879] lr: 1.0000e-04 eta: 5:37:47 time: 0.4396 data_time: 0.0161 memory: 17087 grad_norm: 6.9707 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8897 loss: 0.8897 2022/08/05 14:38:45 - mmengine - INFO - Epoch(train) [232][200/1879] lr: 1.0000e-04 eta: 5:37:38 time: 0.4317 data_time: 0.0167 memory: 17087 grad_norm: 6.9286 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7773 loss: 0.7773 2022/08/05 14:38:54 - mmengine - INFO - Epoch(train) [232][220/1879] lr: 1.0000e-04 eta: 5:37:30 time: 0.4400 data_time: 0.0165 memory: 17087 grad_norm: 6.8646 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8496 loss: 0.8496 2022/08/05 14:39:02 - mmengine - INFO - Epoch(train) [232][240/1879] lr: 1.0000e-04 eta: 5:37:21 time: 0.4328 data_time: 0.0167 memory: 17087 grad_norm: 7.0655 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8870 loss: 0.8870 2022/08/05 14:39:11 - mmengine - INFO - Epoch(train) [232][260/1879] lr: 1.0000e-04 eta: 5:37:12 time: 0.4342 data_time: 0.0140 memory: 17087 grad_norm: 7.2096 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8683 loss: 0.8683 2022/08/05 14:39:20 - mmengine - INFO - Epoch(train) [232][280/1879] lr: 1.0000e-04 eta: 5:37:04 time: 0.4643 data_time: 0.0190 memory: 17087 grad_norm: 7.2279 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8776 loss: 0.8776 2022/08/05 14:39:29 - mmengine - INFO - Epoch(train) [232][300/1879] lr: 1.0000e-04 eta: 5:36:55 time: 0.4336 data_time: 0.0198 memory: 17087 grad_norm: 6.9187 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8191 loss: 0.8191 2022/08/05 14:39:38 - mmengine - INFO - Epoch(train) [232][320/1879] lr: 1.0000e-04 eta: 5:36:46 time: 0.4623 data_time: 0.0178 memory: 17087 grad_norm: 7.1897 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7369 loss: 0.7369 2022/08/05 14:39:47 - mmengine - INFO - Epoch(train) [232][340/1879] lr: 1.0000e-04 eta: 5:36:38 time: 0.4305 data_time: 0.0162 memory: 17087 grad_norm: 7.0807 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6880 loss: 0.6880 2022/08/05 14:39:56 - mmengine - INFO - Epoch(train) [232][360/1879] lr: 1.0000e-04 eta: 5:36:29 time: 0.4442 data_time: 0.0169 memory: 17087 grad_norm: 7.0458 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8002 loss: 0.8002 2022/08/05 14:40:05 - mmengine - INFO - Epoch(train) [232][380/1879] lr: 1.0000e-04 eta: 5:36:20 time: 0.4685 data_time: 0.0170 memory: 17087 grad_norm: 7.0538 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7166 loss: 0.7166 2022/08/05 14:40:14 - mmengine - INFO - Epoch(train) [232][400/1879] lr: 1.0000e-04 eta: 5:36:12 time: 0.4370 data_time: 0.0162 memory: 17087 grad_norm: 6.9260 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7021 loss: 0.7021 2022/08/05 14:40:23 - mmengine - INFO - Epoch(train) [232][420/1879] lr: 1.0000e-04 eta: 5:36:03 time: 0.4330 data_time: 0.0167 memory: 17087 grad_norm: 7.0115 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8468 loss: 0.8468 2022/08/05 14:40:31 - mmengine - INFO - Epoch(train) [232][440/1879] lr: 1.0000e-04 eta: 5:35:55 time: 0.4325 data_time: 0.0165 memory: 17087 grad_norm: 7.0526 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8282 loss: 0.8282 2022/08/05 14:40:40 - mmengine - INFO - Epoch(train) [232][460/1879] lr: 1.0000e-04 eta: 5:35:46 time: 0.4465 data_time: 0.0158 memory: 17087 grad_norm: 7.3069 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9225 loss: 0.9225 2022/08/05 14:40:49 - mmengine - INFO - Epoch(train) [232][480/1879] lr: 1.0000e-04 eta: 5:35:37 time: 0.4320 data_time: 0.0180 memory: 17087 grad_norm: 6.9949 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7809 loss: 0.7809 2022/08/05 14:40:58 - mmengine - INFO - Epoch(train) [232][500/1879] lr: 1.0000e-04 eta: 5:35:29 time: 0.4711 data_time: 0.0174 memory: 17087 grad_norm: 7.0809 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8381 loss: 0.8381 2022/08/05 14:41:07 - mmengine - INFO - Epoch(train) [232][520/1879] lr: 1.0000e-04 eta: 5:35:20 time: 0.4335 data_time: 0.0178 memory: 17087 grad_norm: 7.2504 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8206 loss: 0.8206 2022/08/05 14:41:16 - mmengine - INFO - Epoch(train) [232][540/1879] lr: 1.0000e-04 eta: 5:35:11 time: 0.4352 data_time: 0.0188 memory: 17087 grad_norm: 7.2856 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8078 loss: 0.8078 2022/08/05 14:41:25 - mmengine - INFO - Epoch(train) [232][560/1879] lr: 1.0000e-04 eta: 5:35:03 time: 0.4317 data_time: 0.0188 memory: 17087 grad_norm: 7.3085 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9298 loss: 0.9298 2022/08/05 14:41:34 - mmengine - INFO - Epoch(train) [232][580/1879] lr: 1.0000e-04 eta: 5:34:54 time: 0.4729 data_time: 0.0168 memory: 17087 grad_norm: 6.9968 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9917 loss: 0.9917 2022/08/05 14:41:43 - mmengine - INFO - Epoch(train) [232][600/1879] lr: 1.0000e-04 eta: 5:34:45 time: 0.4313 data_time: 0.0163 memory: 17087 grad_norm: 7.2234 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7705 loss: 0.7705 2022/08/05 14:41:51 - mmengine - INFO - Epoch(train) [232][620/1879] lr: 1.0000e-04 eta: 5:34:37 time: 0.4329 data_time: 0.0127 memory: 17087 grad_norm: 7.1591 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9002 loss: 0.9002 2022/08/05 14:42:00 - mmengine - INFO - Epoch(train) [232][640/1879] lr: 1.0000e-04 eta: 5:34:28 time: 0.4499 data_time: 0.0189 memory: 17087 grad_norm: 7.1346 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8833 loss: 0.8833 2022/08/05 14:42:09 - mmengine - INFO - Epoch(train) [232][660/1879] lr: 1.0000e-04 eta: 5:34:19 time: 0.4330 data_time: 0.0159 memory: 17087 grad_norm: 7.1668 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7221 loss: 0.7221 2022/08/05 14:42:18 - mmengine - INFO - Epoch(train) [232][680/1879] lr: 1.0000e-04 eta: 5:34:11 time: 0.4631 data_time: 0.0178 memory: 17087 grad_norm: 7.1094 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7083 loss: 0.7083 2022/08/05 14:42:27 - mmengine - INFO - Epoch(train) [232][700/1879] lr: 1.0000e-04 eta: 5:34:02 time: 0.4321 data_time: 0.0149 memory: 17087 grad_norm: 7.2216 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7654 loss: 0.7654 2022/08/05 14:42:36 - mmengine - INFO - Epoch(train) [232][720/1879] lr: 1.0000e-04 eta: 5:33:54 time: 0.4384 data_time: 0.0167 memory: 17087 grad_norm: 7.2913 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8963 loss: 0.8963 2022/08/05 14:42:44 - mmengine - INFO - Epoch(train) [232][740/1879] lr: 1.0000e-04 eta: 5:33:45 time: 0.4298 data_time: 0.0137 memory: 17087 grad_norm: 7.2252 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6693 loss: 0.6693 2022/08/05 14:42:53 - mmengine - INFO - Epoch(train) [232][760/1879] lr: 1.0000e-04 eta: 5:33:36 time: 0.4372 data_time: 0.0177 memory: 17087 grad_norm: 7.1490 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8545 loss: 0.8545 2022/08/05 14:43:02 - mmengine - INFO - Epoch(train) [232][780/1879] lr: 1.0000e-04 eta: 5:33:28 time: 0.4301 data_time: 0.0156 memory: 17087 grad_norm: 7.0076 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7004 loss: 0.7004 2022/08/05 14:43:10 - mmengine - INFO - Epoch(train) [232][800/1879] lr: 1.0000e-04 eta: 5:33:19 time: 0.4314 data_time: 0.0158 memory: 17087 grad_norm: 6.8501 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9404 loss: 0.9404 2022/08/05 14:43:20 - mmengine - INFO - Epoch(train) [232][820/1879] lr: 1.0000e-04 eta: 5:33:10 time: 0.4690 data_time: 0.0169 memory: 17087 grad_norm: 6.9260 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7680 loss: 0.7680 2022/08/05 14:43:29 - mmengine - INFO - Epoch(train) [232][840/1879] lr: 1.0000e-04 eta: 5:33:02 time: 0.4341 data_time: 0.0167 memory: 17087 grad_norm: 7.1332 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8475 loss: 0.8475 2022/08/05 14:43:38 - mmengine - INFO - Epoch(train) [232][860/1879] lr: 1.0000e-04 eta: 5:32:53 time: 0.4632 data_time: 0.0170 memory: 17087 grad_norm: 6.9846 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7782 loss: 0.7782 2022/08/05 14:43:47 - mmengine - INFO - Epoch(train) [232][880/1879] lr: 1.0000e-04 eta: 5:32:44 time: 0.4332 data_time: 0.0167 memory: 17087 grad_norm: 7.1436 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8819 loss: 0.8819 2022/08/05 14:43:55 - mmengine - INFO - Epoch(train) [232][900/1879] lr: 1.0000e-04 eta: 5:32:36 time: 0.4345 data_time: 0.0147 memory: 17087 grad_norm: 7.0419 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8159 loss: 0.8159 2022/08/05 14:44:04 - mmengine - INFO - Epoch(train) [232][920/1879] lr: 1.0000e-04 eta: 5:32:27 time: 0.4335 data_time: 0.0165 memory: 17087 grad_norm: 7.0321 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8590 loss: 0.8590 2022/08/05 14:44:13 - mmengine - INFO - Epoch(train) [232][940/1879] lr: 1.0000e-04 eta: 5:32:18 time: 0.4326 data_time: 0.0142 memory: 17087 grad_norm: 6.9782 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7402 loss: 0.7402 2022/08/05 14:44:17 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 14:44:21 - mmengine - INFO - Epoch(train) [232][960/1879] lr: 1.0000e-04 eta: 5:32:10 time: 0.4347 data_time: 0.0184 memory: 17087 grad_norm: 7.0006 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7952 loss: 0.7952 2022/08/05 14:44:30 - mmengine - INFO - Epoch(train) [232][980/1879] lr: 1.0000e-04 eta: 5:32:01 time: 0.4308 data_time: 0.0142 memory: 17087 grad_norm: 7.1040 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7455 loss: 0.7455 2022/08/05 14:44:39 - mmengine - INFO - Epoch(train) [232][1000/1879] lr: 1.0000e-04 eta: 5:31:52 time: 0.4400 data_time: 0.0179 memory: 17087 grad_norm: 7.0875 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8977 loss: 0.8977 2022/08/05 14:44:47 - mmengine - INFO - Epoch(train) [232][1020/1879] lr: 1.0000e-04 eta: 5:31:44 time: 0.4296 data_time: 0.0149 memory: 17087 grad_norm: 7.1011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8135 loss: 0.8135 2022/08/05 14:44:56 - mmengine - INFO - Epoch(train) [232][1040/1879] lr: 1.0000e-04 eta: 5:31:35 time: 0.4336 data_time: 0.0184 memory: 17087 grad_norm: 6.9594 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8693 loss: 0.8693 2022/08/05 14:45:10 - mmengine - INFO - Epoch(train) [232][1060/1879] lr: 1.0000e-04 eta: 5:31:27 time: 0.7071 data_time: 0.0232 memory: 17087 grad_norm: 7.1961 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7395 loss: 0.7395 2022/08/05 14:45:19 - mmengine - INFO - Epoch(train) [232][1080/1879] lr: 1.0000e-04 eta: 5:31:18 time: 0.4320 data_time: 0.0171 memory: 17087 grad_norm: 7.1313 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7914 loss: 0.7914 2022/08/05 14:45:28 - mmengine - INFO - Epoch(train) [232][1100/1879] lr: 1.0000e-04 eta: 5:31:10 time: 0.4701 data_time: 0.0258 memory: 17087 grad_norm: 7.2479 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8867 loss: 0.8867 2022/08/05 14:45:37 - mmengine - INFO - Epoch(train) [232][1120/1879] lr: 1.0000e-04 eta: 5:31:01 time: 0.4320 data_time: 0.0162 memory: 17087 grad_norm: 6.8733 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7772 loss: 0.7772 2022/08/05 14:45:46 - mmengine - INFO - Epoch(train) [232][1140/1879] lr: 1.0000e-04 eta: 5:30:52 time: 0.4615 data_time: 0.0165 memory: 17087 grad_norm: 7.3313 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7427 loss: 0.7427 2022/08/05 14:45:55 - mmengine - INFO - Epoch(train) [232][1160/1879] lr: 1.0000e-04 eta: 5:30:44 time: 0.4346 data_time: 0.0179 memory: 17087 grad_norm: 7.0772 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7748 loss: 0.7748 2022/08/05 14:46:04 - mmengine - INFO - Epoch(train) [232][1180/1879] lr: 1.0000e-04 eta: 5:30:35 time: 0.4324 data_time: 0.0187 memory: 17087 grad_norm: 6.9113 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7948 loss: 0.7948 2022/08/05 14:46:12 - mmengine - INFO - Epoch(train) [232][1200/1879] lr: 1.0000e-04 eta: 5:30:26 time: 0.4332 data_time: 0.0184 memory: 17087 grad_norm: 7.4075 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8326 loss: 0.8326 2022/08/05 14:46:21 - mmengine - INFO - Epoch(train) [232][1220/1879] lr: 1.0000e-04 eta: 5:30:18 time: 0.4319 data_time: 0.0151 memory: 17087 grad_norm: 7.2721 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8780 loss: 0.8780 2022/08/05 14:46:30 - mmengine - INFO - Epoch(train) [232][1240/1879] lr: 1.0000e-04 eta: 5:30:09 time: 0.4342 data_time: 0.0187 memory: 17087 grad_norm: 7.2153 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8377 loss: 0.8377 2022/08/05 14:46:39 - mmengine - INFO - Epoch(train) [232][1260/1879] lr: 1.0000e-04 eta: 5:30:01 time: 0.4550 data_time: 0.0164 memory: 17087 grad_norm: 6.8889 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7155 loss: 0.7155 2022/08/05 14:46:48 - mmengine - INFO - Epoch(train) [232][1280/1879] lr: 1.0000e-04 eta: 5:29:52 time: 0.4365 data_time: 0.0155 memory: 17087 grad_norm: 6.9770 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7099 loss: 0.7099 2022/08/05 14:46:57 - mmengine - INFO - Epoch(train) [232][1300/1879] lr: 1.0000e-04 eta: 5:29:43 time: 0.4419 data_time: 0.0224 memory: 17087 grad_norm: 6.9426 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7835 loss: 0.7835 2022/08/05 14:47:05 - mmengine - INFO - Epoch(train) [232][1320/1879] lr: 1.0000e-04 eta: 5:29:35 time: 0.4361 data_time: 0.0181 memory: 17087 grad_norm: 7.1616 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8692 loss: 0.8692 2022/08/05 14:47:14 - mmengine - INFO - Epoch(train) [232][1340/1879] lr: 1.0000e-04 eta: 5:29:26 time: 0.4447 data_time: 0.0168 memory: 17087 grad_norm: 7.0810 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9552 loss: 0.9552 2022/08/05 14:47:23 - mmengine - INFO - Epoch(train) [232][1360/1879] lr: 1.0000e-04 eta: 5:29:17 time: 0.4313 data_time: 0.0162 memory: 17087 grad_norm: 7.0299 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7002 loss: 0.7002 2022/08/05 14:47:32 - mmengine - INFO - Epoch(train) [232][1380/1879] lr: 1.0000e-04 eta: 5:29:09 time: 0.4340 data_time: 0.0162 memory: 17087 grad_norm: 6.7319 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8044 loss: 0.8044 2022/08/05 14:47:41 - mmengine - INFO - Epoch(train) [232][1400/1879] lr: 1.0000e-04 eta: 5:29:00 time: 0.4578 data_time: 0.0177 memory: 17087 grad_norm: 7.0443 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6764 loss: 0.6764 2022/08/05 14:47:49 - mmengine - INFO - Epoch(train) [232][1420/1879] lr: 1.0000e-04 eta: 5:28:51 time: 0.4383 data_time: 0.0192 memory: 17087 grad_norm: 7.1029 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8283 loss: 0.8283 2022/08/05 14:47:58 - mmengine - INFO - Epoch(train) [232][1440/1879] lr: 1.0000e-04 eta: 5:28:43 time: 0.4370 data_time: 0.0188 memory: 17087 grad_norm: 7.1272 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7953 loss: 0.7953 2022/08/05 14:48:07 - mmengine - INFO - Epoch(train) [232][1460/1879] lr: 1.0000e-04 eta: 5:28:34 time: 0.4310 data_time: 0.0158 memory: 17087 grad_norm: 7.3019 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7811 loss: 0.7811 2022/08/05 14:48:16 - mmengine - INFO - Epoch(train) [232][1480/1879] lr: 1.0000e-04 eta: 5:28:25 time: 0.4393 data_time: 0.0160 memory: 17087 grad_norm: 7.2437 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.7549 loss: 0.7549 2022/08/05 14:48:24 - mmengine - INFO - Epoch(train) [232][1500/1879] lr: 1.0000e-04 eta: 5:28:17 time: 0.4371 data_time: 0.0165 memory: 17087 grad_norm: 6.9640 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8651 loss: 0.8651 2022/08/05 14:48:33 - mmengine - INFO - Epoch(train) [232][1520/1879] lr: 1.0000e-04 eta: 5:28:08 time: 0.4384 data_time: 0.0181 memory: 17087 grad_norm: 7.1236 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9186 loss: 0.9186 2022/08/05 14:48:42 - mmengine - INFO - Epoch(train) [232][1540/1879] lr: 1.0000e-04 eta: 5:27:59 time: 0.4315 data_time: 0.0159 memory: 17087 grad_norm: 6.9840 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7329 loss: 0.7329 2022/08/05 14:48:51 - mmengine - INFO - Epoch(train) [232][1560/1879] lr: 1.0000e-04 eta: 5:27:51 time: 0.4392 data_time: 0.0184 memory: 17087 grad_norm: 7.2880 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7588 loss: 0.7588 2022/08/05 14:49:00 - mmengine - INFO - Epoch(train) [232][1580/1879] lr: 1.0000e-04 eta: 5:27:42 time: 0.4403 data_time: 0.0229 memory: 17087 grad_norm: 7.3978 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8961 loss: 0.8961 2022/08/05 14:49:08 - mmengine - INFO - Epoch(train) [232][1600/1879] lr: 1.0000e-04 eta: 5:27:33 time: 0.4360 data_time: 0.0186 memory: 17087 grad_norm: 7.4405 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8487 loss: 0.8487 2022/08/05 14:49:17 - mmengine - INFO - Epoch(train) [232][1620/1879] lr: 1.0000e-04 eta: 5:27:25 time: 0.4340 data_time: 0.0160 memory: 17087 grad_norm: 7.1597 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8893 loss: 0.8893 2022/08/05 14:49:26 - mmengine - INFO - Epoch(train) [232][1640/1879] lr: 1.0000e-04 eta: 5:27:16 time: 0.4399 data_time: 0.0183 memory: 17087 grad_norm: 7.1528 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8704 loss: 0.8704 2022/08/05 14:49:35 - mmengine - INFO - Epoch(train) [232][1660/1879] lr: 1.0000e-04 eta: 5:27:07 time: 0.4329 data_time: 0.0156 memory: 17087 grad_norm: 7.0977 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8014 loss: 0.8014 2022/08/05 14:49:43 - mmengine - INFO - Epoch(train) [232][1680/1879] lr: 1.0000e-04 eta: 5:26:59 time: 0.4315 data_time: 0.0159 memory: 17087 grad_norm: 6.8983 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6485 loss: 0.6485 2022/08/05 14:49:52 - mmengine - INFO - Epoch(train) [232][1700/1879] lr: 1.0000e-04 eta: 5:26:50 time: 0.4458 data_time: 0.0141 memory: 17087 grad_norm: 7.1049 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7702 loss: 0.7702 2022/08/05 14:50:01 - mmengine - INFO - Epoch(train) [232][1720/1879] lr: 1.0000e-04 eta: 5:26:42 time: 0.4313 data_time: 0.0162 memory: 17087 grad_norm: 7.2431 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8753 loss: 0.8753 2022/08/05 14:50:10 - mmengine - INFO - Epoch(train) [232][1740/1879] lr: 1.0000e-04 eta: 5:26:33 time: 0.4648 data_time: 0.0169 memory: 17087 grad_norm: 7.2684 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8849 loss: 0.8849 2022/08/05 14:50:19 - mmengine - INFO - Epoch(train) [232][1760/1879] lr: 1.0000e-04 eta: 5:26:24 time: 0.4350 data_time: 0.0171 memory: 17087 grad_norm: 7.2026 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9027 loss: 0.9027 2022/08/05 14:50:28 - mmengine - INFO - Epoch(train) [232][1780/1879] lr: 1.0000e-04 eta: 5:26:16 time: 0.4438 data_time: 0.0245 memory: 17087 grad_norm: 7.0226 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8374 loss: 0.8374 2022/08/05 14:50:36 - mmengine - INFO - Epoch(train) [232][1800/1879] lr: 1.0000e-04 eta: 5:26:07 time: 0.4340 data_time: 0.0197 memory: 17087 grad_norm: 7.0908 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8442 loss: 0.8442 2022/08/05 14:50:45 - mmengine - INFO - Epoch(train) [232][1820/1879] lr: 1.0000e-04 eta: 5:25:58 time: 0.4354 data_time: 0.0175 memory: 17087 grad_norm: 7.1092 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7885 loss: 0.7885 2022/08/05 14:50:54 - mmengine - INFO - Epoch(train) [232][1840/1879] lr: 1.0000e-04 eta: 5:25:50 time: 0.4336 data_time: 0.0171 memory: 17087 grad_norm: 7.0573 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9021 loss: 0.9021 2022/08/05 14:51:02 - mmengine - INFO - Epoch(train) [232][1860/1879] lr: 1.0000e-04 eta: 5:25:41 time: 0.4301 data_time: 0.0151 memory: 17087 grad_norm: 7.1901 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7420 loss: 0.7420 2022/08/05 14:51:10 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 14:51:10 - mmengine - INFO - Epoch(train) [232][1879/1879] lr: 1.0000e-04 eta: 5:25:41 time: 0.4209 data_time: 0.0151 memory: 17087 grad_norm: 7.1082 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.7331 loss: 0.7331 2022/08/05 14:51:11 - mmengine - INFO - Saving checkpoint at 232 epochs 2022/08/05 14:51:25 - mmengine - INFO - Epoch(train) [233][20/1879] lr: 1.0000e-04 eta: 5:25:23 time: 0.5298 data_time: 0.1005 memory: 17087 grad_norm: 6.8659 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6700 loss: 0.6700 2022/08/05 14:51:34 - mmengine - INFO - Epoch(train) [233][40/1879] lr: 1.0000e-04 eta: 5:25:15 time: 0.4496 data_time: 0.0179 memory: 17087 grad_norm: 7.1617 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8864 loss: 0.8864 2022/08/05 14:51:43 - mmengine - INFO - Epoch(train) [233][60/1879] lr: 1.0000e-04 eta: 5:25:06 time: 0.4286 data_time: 0.0144 memory: 17087 grad_norm: 7.0157 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7702 loss: 0.7702 2022/08/05 14:51:48 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 14:51:52 - mmengine - INFO - Epoch(train) [233][80/1879] lr: 1.0000e-04 eta: 5:24:57 time: 0.4381 data_time: 0.0173 memory: 17087 grad_norm: 7.1074 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9731 loss: 0.9731 2022/08/05 14:52:00 - mmengine - INFO - Epoch(train) [233][100/1879] lr: 1.0000e-04 eta: 5:24:49 time: 0.4394 data_time: 0.0221 memory: 17087 grad_norm: 7.2839 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7562 loss: 0.7562 2022/08/05 14:52:09 - mmengine - INFO - Epoch(train) [233][120/1879] lr: 1.0000e-04 eta: 5:24:40 time: 0.4338 data_time: 0.0177 memory: 17087 grad_norm: 6.9349 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8177 loss: 0.8177 2022/08/05 14:52:18 - mmengine - INFO - Epoch(train) [233][140/1879] lr: 1.0000e-04 eta: 5:24:32 time: 0.4543 data_time: 0.0145 memory: 17087 grad_norm: 7.1729 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9246 loss: 0.9246 2022/08/05 14:52:27 - mmengine - INFO - Epoch(train) [233][160/1879] lr: 1.0000e-04 eta: 5:24:23 time: 0.4408 data_time: 0.0200 memory: 17087 grad_norm: 6.7725 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7005 loss: 0.7005 2022/08/05 14:52:36 - mmengine - INFO - Epoch(train) [233][180/1879] lr: 1.0000e-04 eta: 5:24:14 time: 0.4370 data_time: 0.0154 memory: 17087 grad_norm: 7.1318 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9347 loss: 0.9347 2022/08/05 14:52:45 - mmengine - INFO - Epoch(train) [233][200/1879] lr: 1.0000e-04 eta: 5:24:06 time: 0.4372 data_time: 0.0180 memory: 17087 grad_norm: 7.1602 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8113 loss: 0.8113 2022/08/05 14:52:53 - mmengine - INFO - Epoch(train) [233][220/1879] lr: 1.0000e-04 eta: 5:23:57 time: 0.4309 data_time: 0.0139 memory: 17087 grad_norm: 7.1930 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8419 loss: 0.8419 2022/08/05 14:53:05 - mmengine - INFO - Epoch(train) [233][240/1879] lr: 1.0000e-04 eta: 5:23:49 time: 0.5959 data_time: 0.0231 memory: 17087 grad_norm: 7.0489 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7437 loss: 0.7437 2022/08/05 14:53:14 - mmengine - INFO - Epoch(train) [233][260/1879] lr: 1.0000e-04 eta: 5:23:40 time: 0.4552 data_time: 0.0168 memory: 17087 grad_norm: 7.1183 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8599 loss: 0.8599 2022/08/05 14:53:23 - mmengine - INFO - Epoch(train) [233][280/1879] lr: 1.0000e-04 eta: 5:23:31 time: 0.4283 data_time: 0.0139 memory: 17087 grad_norm: 6.9210 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7596 loss: 0.7596 2022/08/05 14:53:32 - mmengine - INFO - Epoch(train) [233][300/1879] lr: 1.0000e-04 eta: 5:23:23 time: 0.4374 data_time: 0.0219 memory: 17087 grad_norm: 7.4324 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8181 loss: 0.8181 2022/08/05 14:53:40 - mmengine - INFO - Epoch(train) [233][320/1879] lr: 1.0000e-04 eta: 5:23:14 time: 0.4307 data_time: 0.0156 memory: 17087 grad_norm: 7.1330 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8404 loss: 0.8404 2022/08/05 14:53:49 - mmengine - INFO - Epoch(train) [233][340/1879] lr: 1.0000e-04 eta: 5:23:05 time: 0.4344 data_time: 0.0171 memory: 17087 grad_norm: 7.0634 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8027 loss: 0.8027 2022/08/05 14:53:58 - mmengine - INFO - Epoch(train) [233][360/1879] lr: 1.0000e-04 eta: 5:22:57 time: 0.4495 data_time: 0.0155 memory: 17087 grad_norm: 6.8221 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8701 loss: 0.8701 2022/08/05 14:54:07 - mmengine - INFO - Epoch(train) [233][380/1879] lr: 1.0000e-04 eta: 5:22:48 time: 0.4385 data_time: 0.0210 memory: 17087 grad_norm: 7.3169 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0041 loss: 1.0041 2022/08/05 14:54:15 - mmengine - INFO - Epoch(train) [233][400/1879] lr: 1.0000e-04 eta: 5:22:39 time: 0.4318 data_time: 0.0139 memory: 17087 grad_norm: 7.3132 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9889 loss: 0.9889 2022/08/05 14:54:24 - mmengine - INFO - Epoch(train) [233][420/1879] lr: 1.0000e-04 eta: 5:22:31 time: 0.4379 data_time: 0.0196 memory: 17087 grad_norm: 7.2017 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8576 loss: 0.8576 2022/08/05 14:54:33 - mmengine - INFO - Epoch(train) [233][440/1879] lr: 1.0000e-04 eta: 5:22:22 time: 0.4312 data_time: 0.0152 memory: 17087 grad_norm: 6.8483 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7395 loss: 0.7395 2022/08/05 14:54:42 - mmengine - INFO - Epoch(train) [233][460/1879] lr: 1.0000e-04 eta: 5:22:13 time: 0.4310 data_time: 0.0163 memory: 17087 grad_norm: 7.0251 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7887 loss: 0.7887 2022/08/05 14:54:50 - mmengine - INFO - Epoch(train) [233][480/1879] lr: 1.0000e-04 eta: 5:22:05 time: 0.4355 data_time: 0.0172 memory: 17087 grad_norm: 6.9473 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6141 loss: 0.6141 2022/08/05 14:54:59 - mmengine - INFO - Epoch(train) [233][500/1879] lr: 1.0000e-04 eta: 5:21:56 time: 0.4336 data_time: 0.0171 memory: 17087 grad_norm: 7.2292 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7559 loss: 0.7559 2022/08/05 14:55:08 - mmengine - INFO - Epoch(train) [233][520/1879] lr: 1.0000e-04 eta: 5:21:47 time: 0.4358 data_time: 0.0146 memory: 17087 grad_norm: 7.1130 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0061 loss: 1.0061 2022/08/05 14:55:16 - mmengine - INFO - Epoch(train) [233][540/1879] lr: 1.0000e-04 eta: 5:21:39 time: 0.4327 data_time: 0.0177 memory: 17087 grad_norm: 7.0635 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9018 loss: 0.9018 2022/08/05 14:55:25 - mmengine - INFO - Epoch(train) [233][560/1879] lr: 1.0000e-04 eta: 5:21:30 time: 0.4309 data_time: 0.0144 memory: 17087 grad_norm: 7.2352 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8725 loss: 0.8725 2022/08/05 14:55:34 - mmengine - INFO - Epoch(train) [233][580/1879] lr: 1.0000e-04 eta: 5:21:21 time: 0.4338 data_time: 0.0196 memory: 17087 grad_norm: 7.1610 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7569 loss: 0.7569 2022/08/05 14:55:42 - mmengine - INFO - Epoch(train) [233][600/1879] lr: 1.0000e-04 eta: 5:21:13 time: 0.4311 data_time: 0.0156 memory: 17087 grad_norm: 7.2047 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8623 loss: 0.8623 2022/08/05 14:55:51 - mmengine - INFO - Epoch(train) [233][620/1879] lr: 1.0000e-04 eta: 5:21:04 time: 0.4332 data_time: 0.0163 memory: 17087 grad_norm: 6.8224 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7789 loss: 0.7789 2022/08/05 14:56:00 - mmengine - INFO - Epoch(train) [233][640/1879] lr: 1.0000e-04 eta: 5:20:55 time: 0.4657 data_time: 0.0170 memory: 17087 grad_norm: 7.1990 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9044 loss: 0.9044 2022/08/05 14:56:09 - mmengine - INFO - Epoch(train) [233][660/1879] lr: 1.0000e-04 eta: 5:20:47 time: 0.4378 data_time: 0.0204 memory: 17087 grad_norm: 7.2848 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7831 loss: 0.7831 2022/08/05 14:56:18 - mmengine - INFO - Epoch(train) [233][680/1879] lr: 1.0000e-04 eta: 5:20:38 time: 0.4577 data_time: 0.0158 memory: 17087 grad_norm: 6.8138 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6813 loss: 0.6813 2022/08/05 14:56:27 - mmengine - INFO - Epoch(train) [233][700/1879] lr: 1.0000e-04 eta: 5:20:30 time: 0.4332 data_time: 0.0179 memory: 17087 grad_norm: 7.2652 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6747 loss: 0.6747 2022/08/05 14:56:36 - mmengine - INFO - Epoch(train) [233][720/1879] lr: 1.0000e-04 eta: 5:20:21 time: 0.4507 data_time: 0.0237 memory: 17087 grad_norm: 6.7914 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8671 loss: 0.8671 2022/08/05 14:56:45 - mmengine - INFO - Epoch(train) [233][740/1879] lr: 1.0000e-04 eta: 5:20:12 time: 0.4323 data_time: 0.0189 memory: 17087 grad_norm: 7.2827 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9339 loss: 0.9339 2022/08/05 14:56:53 - mmengine - INFO - Epoch(train) [233][760/1879] lr: 1.0000e-04 eta: 5:20:04 time: 0.4333 data_time: 0.0155 memory: 17087 grad_norm: 7.1457 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6984 loss: 0.6984 2022/08/05 14:57:02 - mmengine - INFO - Epoch(train) [233][780/1879] lr: 1.0000e-04 eta: 5:19:55 time: 0.4453 data_time: 0.0180 memory: 17087 grad_norm: 7.3528 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9864 loss: 0.9864 2022/08/05 14:57:11 - mmengine - INFO - Epoch(train) [233][800/1879] lr: 1.0000e-04 eta: 5:19:46 time: 0.4335 data_time: 0.0145 memory: 17087 grad_norm: 7.1490 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8336 loss: 0.8336 2022/08/05 14:57:20 - mmengine - INFO - Epoch(train) [233][820/1879] lr: 1.0000e-04 eta: 5:19:38 time: 0.4595 data_time: 0.0197 memory: 17087 grad_norm: 7.2254 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8757 loss: 0.8757 2022/08/05 14:57:29 - mmengine - INFO - Epoch(train) [233][840/1879] lr: 1.0000e-04 eta: 5:19:29 time: 0.4308 data_time: 0.0151 memory: 17087 grad_norm: 7.1877 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8946 loss: 0.8946 2022/08/05 14:57:38 - mmengine - INFO - Epoch(train) [233][860/1879] lr: 1.0000e-04 eta: 5:19:20 time: 0.4492 data_time: 0.0224 memory: 17087 grad_norm: 6.6683 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6892 loss: 0.6892 2022/08/05 14:57:47 - mmengine - INFO - Epoch(train) [233][880/1879] lr: 1.0000e-04 eta: 5:19:12 time: 0.4310 data_time: 0.0141 memory: 17087 grad_norm: 7.3453 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7783 loss: 0.7783 2022/08/05 14:57:56 - mmengine - INFO - Epoch(train) [233][900/1879] lr: 1.0000e-04 eta: 5:19:03 time: 0.4630 data_time: 0.0181 memory: 17087 grad_norm: 7.0610 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8134 loss: 0.8134 2022/08/05 14:58:05 - mmengine - INFO - Epoch(train) [233][920/1879] lr: 1.0000e-04 eta: 5:18:54 time: 0.4307 data_time: 0.0146 memory: 17087 grad_norm: 7.1472 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8675 loss: 0.8675 2022/08/05 14:58:13 - mmengine - INFO - Epoch(train) [233][940/1879] lr: 1.0000e-04 eta: 5:18:46 time: 0.4384 data_time: 0.0219 memory: 17087 grad_norm: 6.9885 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6892 loss: 0.6892 2022/08/05 14:58:22 - mmengine - INFO - Epoch(train) [233][960/1879] lr: 1.0000e-04 eta: 5:18:37 time: 0.4336 data_time: 0.0136 memory: 17087 grad_norm: 7.2248 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7883 loss: 0.7883 2022/08/05 14:58:31 - mmengine - INFO - Epoch(train) [233][980/1879] lr: 1.0000e-04 eta: 5:18:29 time: 0.4671 data_time: 0.0176 memory: 17087 grad_norm: 7.1802 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6895 loss: 0.6895 2022/08/05 14:58:40 - mmengine - INFO - Epoch(train) [233][1000/1879] lr: 1.0000e-04 eta: 5:18:20 time: 0.4319 data_time: 0.0144 memory: 17087 grad_norm: 7.2035 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8956 loss: 0.8956 2022/08/05 14:58:49 - mmengine - INFO - Epoch(train) [233][1020/1879] lr: 1.0000e-04 eta: 5:18:11 time: 0.4360 data_time: 0.0179 memory: 17087 grad_norm: 6.8828 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9244 loss: 0.9244 2022/08/05 14:58:58 - mmengine - INFO - Epoch(train) [233][1040/1879] lr: 1.0000e-04 eta: 5:18:03 time: 0.4565 data_time: 0.0170 memory: 17087 grad_norm: 7.1834 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8186 loss: 0.8186 2022/08/05 14:59:07 - mmengine - INFO - Epoch(train) [233][1060/1879] lr: 1.0000e-04 eta: 5:17:54 time: 0.4320 data_time: 0.0174 memory: 17087 grad_norm: 7.1469 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7445 loss: 0.7445 2022/08/05 14:59:12 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 14:59:16 - mmengine - INFO - Epoch(train) [233][1080/1879] lr: 1.0000e-04 eta: 5:17:45 time: 0.4597 data_time: 0.0188 memory: 17087 grad_norm: 7.0724 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8092 loss: 0.8092 2022/08/05 14:59:25 - mmengine - INFO - Epoch(train) [233][1100/1879] lr: 1.0000e-04 eta: 5:17:37 time: 0.4384 data_time: 0.0230 memory: 17087 grad_norm: 6.9007 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7125 loss: 0.7125 2022/08/05 14:59:33 - mmengine - INFO - Epoch(train) [233][1120/1879] lr: 1.0000e-04 eta: 5:17:28 time: 0.4309 data_time: 0.0154 memory: 17087 grad_norm: 7.3176 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8069 loss: 0.8069 2022/08/05 14:59:42 - mmengine - INFO - Epoch(train) [233][1140/1879] lr: 1.0000e-04 eta: 5:17:19 time: 0.4347 data_time: 0.0170 memory: 17087 grad_norm: 7.1978 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7760 loss: 0.7760 2022/08/05 14:59:51 - mmengine - INFO - Epoch(train) [233][1160/1879] lr: 1.0000e-04 eta: 5:17:11 time: 0.4335 data_time: 0.0158 memory: 17087 grad_norm: 7.3310 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8227 loss: 0.8227 2022/08/05 14:59:59 - mmengine - INFO - Epoch(train) [233][1180/1879] lr: 1.0000e-04 eta: 5:17:02 time: 0.4368 data_time: 0.0180 memory: 17087 grad_norm: 7.1134 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8749 loss: 0.8749 2022/08/05 15:00:08 - mmengine - INFO - Epoch(train) [233][1200/1879] lr: 1.0000e-04 eta: 5:16:53 time: 0.4321 data_time: 0.0150 memory: 17087 grad_norm: 7.3702 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9605 loss: 0.9605 2022/08/05 15:00:17 - mmengine - INFO - Epoch(train) [233][1220/1879] lr: 1.0000e-04 eta: 5:16:45 time: 0.4434 data_time: 0.0198 memory: 17087 grad_norm: 7.0311 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8193 loss: 0.8193 2022/08/05 15:00:26 - mmengine - INFO - Epoch(train) [233][1240/1879] lr: 1.0000e-04 eta: 5:16:36 time: 0.4372 data_time: 0.0164 memory: 17087 grad_norm: 6.9425 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7643 loss: 0.7643 2022/08/05 15:00:34 - mmengine - INFO - Epoch(train) [233][1260/1879] lr: 1.0000e-04 eta: 5:16:27 time: 0.4357 data_time: 0.0160 memory: 17087 grad_norm: 6.8683 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8192 loss: 0.8192 2022/08/05 15:00:43 - mmengine - INFO - Epoch(train) [233][1280/1879] lr: 1.0000e-04 eta: 5:16:19 time: 0.4311 data_time: 0.0139 memory: 17087 grad_norm: 7.1654 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7466 loss: 0.7466 2022/08/05 15:00:52 - mmengine - INFO - Epoch(train) [233][1300/1879] lr: 1.0000e-04 eta: 5:16:10 time: 0.4335 data_time: 0.0160 memory: 17087 grad_norm: 7.0874 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9240 loss: 0.9240 2022/08/05 15:01:00 - mmengine - INFO - Epoch(train) [233][1320/1879] lr: 1.0000e-04 eta: 5:16:01 time: 0.4346 data_time: 0.0168 memory: 17087 grad_norm: 7.0540 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9390 loss: 0.9390 2022/08/05 15:01:09 - mmengine - INFO - Epoch(train) [233][1340/1879] lr: 1.0000e-04 eta: 5:15:53 time: 0.4322 data_time: 0.0159 memory: 17087 grad_norm: 7.4225 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7258 loss: 0.7258 2022/08/05 15:01:18 - mmengine - INFO - Epoch(train) [233][1360/1879] lr: 1.0000e-04 eta: 5:15:44 time: 0.4613 data_time: 0.0172 memory: 17087 grad_norm: 7.1328 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8161 loss: 0.8161 2022/08/05 15:01:27 - mmengine - INFO - Epoch(train) [233][1380/1879] lr: 1.0000e-04 eta: 5:15:35 time: 0.4324 data_time: 0.0162 memory: 17087 grad_norm: 7.2163 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9264 loss: 0.9264 2022/08/05 15:01:36 - mmengine - INFO - Epoch(train) [233][1400/1879] lr: 1.0000e-04 eta: 5:15:27 time: 0.4424 data_time: 0.0194 memory: 17087 grad_norm: 7.1240 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7146 loss: 0.7146 2022/08/05 15:01:45 - mmengine - INFO - Epoch(train) [233][1420/1879] lr: 1.0000e-04 eta: 5:15:18 time: 0.4319 data_time: 0.0158 memory: 17087 grad_norm: 7.0971 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7802 loss: 0.7802 2022/08/05 15:01:53 - mmengine - INFO - Epoch(train) [233][1440/1879] lr: 1.0000e-04 eta: 5:15:10 time: 0.4362 data_time: 0.0195 memory: 17087 grad_norm: 7.0086 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8066 loss: 0.8066 2022/08/05 15:02:03 - mmengine - INFO - Epoch(train) [233][1460/1879] lr: 1.0000e-04 eta: 5:15:01 time: 0.4756 data_time: 0.0196 memory: 17087 grad_norm: 7.0684 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8975 loss: 0.8975 2022/08/05 15:02:12 - mmengine - INFO - Epoch(train) [233][1480/1879] lr: 1.0000e-04 eta: 5:14:52 time: 0.4335 data_time: 0.0177 memory: 17087 grad_norm: 7.2890 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9174 loss: 0.9174 2022/08/05 15:02:21 - mmengine - INFO - Epoch(train) [233][1500/1879] lr: 1.0000e-04 eta: 5:14:44 time: 0.4647 data_time: 0.0236 memory: 17087 grad_norm: 7.2021 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9462 loss: 0.9462 2022/08/05 15:02:30 - mmengine - INFO - Epoch(train) [233][1520/1879] lr: 1.0000e-04 eta: 5:14:35 time: 0.4306 data_time: 0.0153 memory: 17087 grad_norm: 7.1444 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 1.0109 loss: 1.0109 2022/08/05 15:02:39 - mmengine - INFO - Epoch(train) [233][1540/1879] lr: 1.0000e-04 eta: 5:14:26 time: 0.4533 data_time: 0.0212 memory: 17087 grad_norm: 7.4509 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8154 loss: 0.8154 2022/08/05 15:02:48 - mmengine - INFO - Epoch(train) [233][1560/1879] lr: 1.0000e-04 eta: 5:14:18 time: 0.4443 data_time: 0.0163 memory: 17087 grad_norm: 7.1808 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7562 loss: 0.7562 2022/08/05 15:02:56 - mmengine - INFO - Epoch(train) [233][1580/1879] lr: 1.0000e-04 eta: 5:14:09 time: 0.4326 data_time: 0.0156 memory: 17087 grad_norm: 6.9917 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8852 loss: 0.8852 2022/08/05 15:03:05 - mmengine - INFO - Epoch(train) [233][1600/1879] lr: 1.0000e-04 eta: 5:14:00 time: 0.4381 data_time: 0.0190 memory: 17087 grad_norm: 7.1992 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8292 loss: 0.8292 2022/08/05 15:03:14 - mmengine - INFO - Epoch(train) [233][1620/1879] lr: 1.0000e-04 eta: 5:13:52 time: 0.4325 data_time: 0.0165 memory: 17087 grad_norm: 7.3364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8438 loss: 0.8438 2022/08/05 15:03:23 - mmengine - INFO - Epoch(train) [233][1640/1879] lr: 1.0000e-04 eta: 5:13:43 time: 0.4504 data_time: 0.0135 memory: 17087 grad_norm: 6.9835 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7399 loss: 0.7399 2022/08/05 15:03:32 - mmengine - INFO - Epoch(train) [233][1660/1879] lr: 1.0000e-04 eta: 5:13:34 time: 0.4461 data_time: 0.0198 memory: 17087 grad_norm: 7.2477 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9555 loss: 0.9555 2022/08/05 15:03:40 - mmengine - INFO - Epoch(train) [233][1680/1879] lr: 1.0000e-04 eta: 5:13:26 time: 0.4325 data_time: 0.0152 memory: 17087 grad_norm: 6.8690 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7144 loss: 0.7144 2022/08/05 15:03:49 - mmengine - INFO - Epoch(train) [233][1700/1879] lr: 1.0000e-04 eta: 5:13:17 time: 0.4475 data_time: 0.0185 memory: 17087 grad_norm: 7.0666 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8527 loss: 0.8527 2022/08/05 15:03:58 - mmengine - INFO - Epoch(train) [233][1720/1879] lr: 1.0000e-04 eta: 5:13:09 time: 0.4372 data_time: 0.0225 memory: 17087 grad_norm: 7.1584 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7232 loss: 0.7232 2022/08/05 15:04:07 - mmengine - INFO - Epoch(train) [233][1740/1879] lr: 1.0000e-04 eta: 5:13:00 time: 0.4338 data_time: 0.0159 memory: 17087 grad_norm: 7.3373 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7545 loss: 0.7545 2022/08/05 15:04:15 - mmengine - INFO - Epoch(train) [233][1760/1879] lr: 1.0000e-04 eta: 5:12:51 time: 0.4309 data_time: 0.0161 memory: 17087 grad_norm: 7.3946 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7747 loss: 0.7747 2022/08/05 15:04:24 - mmengine - INFO - Epoch(train) [233][1780/1879] lr: 1.0000e-04 eta: 5:12:43 time: 0.4339 data_time: 0.0171 memory: 17087 grad_norm: 7.0866 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7654 loss: 0.7654 2022/08/05 15:04:33 - mmengine - INFO - Epoch(train) [233][1800/1879] lr: 1.0000e-04 eta: 5:12:34 time: 0.4508 data_time: 0.0155 memory: 17087 grad_norm: 7.0775 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8151 loss: 0.8151 2022/08/05 15:04:42 - mmengine - INFO - Epoch(train) [233][1820/1879] lr: 1.0000e-04 eta: 5:12:25 time: 0.4377 data_time: 0.0207 memory: 17087 grad_norm: 6.9969 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7847 loss: 0.7847 2022/08/05 15:04:51 - mmengine - INFO - Epoch(train) [233][1840/1879] lr: 1.0000e-04 eta: 5:12:17 time: 0.4572 data_time: 0.0151 memory: 17087 grad_norm: 6.9982 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7934 loss: 0.7934 2022/08/05 15:05:00 - mmengine - INFO - Epoch(train) [233][1860/1879] lr: 1.0000e-04 eta: 5:12:08 time: 0.4375 data_time: 0.0216 memory: 17087 grad_norm: 7.1179 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7632 loss: 0.7632 2022/08/05 15:05:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 15:05:08 - mmengine - INFO - Epoch(train) [233][1879/1879] lr: 1.0000e-04 eta: 5:12:08 time: 0.4460 data_time: 0.0167 memory: 17087 grad_norm: 7.1831 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7065 loss: 0.7065 2022/08/05 15:05:20 - mmengine - INFO - Epoch(train) [234][20/1879] lr: 1.0000e-04 eta: 5:11:51 time: 0.5595 data_time: 0.1065 memory: 17087 grad_norm: 7.1883 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7905 loss: 0.7905 2022/08/05 15:05:29 - mmengine - INFO - Epoch(train) [234][40/1879] lr: 1.0000e-04 eta: 5:11:42 time: 0.4600 data_time: 0.0178 memory: 17087 grad_norm: 7.2776 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8412 loss: 0.8412 2022/08/05 15:05:38 - mmengine - INFO - Epoch(train) [234][60/1879] lr: 1.0000e-04 eta: 5:11:33 time: 0.4343 data_time: 0.0174 memory: 17087 grad_norm: 6.9392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7577 loss: 0.7577 2022/08/05 15:05:47 - mmengine - INFO - Epoch(train) [234][80/1879] lr: 1.0000e-04 eta: 5:11:25 time: 0.4623 data_time: 0.0174 memory: 17087 grad_norm: 7.1195 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9933 loss: 0.9933 2022/08/05 15:05:56 - mmengine - INFO - Epoch(train) [234][100/1879] lr: 1.0000e-04 eta: 5:11:16 time: 0.4344 data_time: 0.0167 memory: 17087 grad_norm: 7.1263 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8573 loss: 0.8573 2022/08/05 15:06:04 - mmengine - INFO - Epoch(train) [234][120/1879] lr: 1.0000e-04 eta: 5:11:07 time: 0.4325 data_time: 0.0182 memory: 17087 grad_norm: 7.0081 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7581 loss: 0.7581 2022/08/05 15:06:13 - mmengine - INFO - Epoch(train) [234][140/1879] lr: 1.0000e-04 eta: 5:10:59 time: 0.4404 data_time: 0.0159 memory: 17087 grad_norm: 7.3477 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8488 loss: 0.8488 2022/08/05 15:06:22 - mmengine - INFO - Epoch(train) [234][160/1879] lr: 1.0000e-04 eta: 5:10:50 time: 0.4327 data_time: 0.0164 memory: 17087 grad_norm: 7.1144 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9601 loss: 0.9601 2022/08/05 15:06:31 - mmengine - INFO - Epoch(train) [234][180/1879] lr: 1.0000e-04 eta: 5:10:41 time: 0.4497 data_time: 0.0177 memory: 17087 grad_norm: 6.8701 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7659 loss: 0.7659 2022/08/05 15:06:37 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 15:06:40 - mmengine - INFO - Epoch(train) [234][200/1879] lr: 1.0000e-04 eta: 5:10:33 time: 0.4320 data_time: 0.0162 memory: 17087 grad_norm: 7.1927 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8854 loss: 0.8854 2022/08/05 15:06:49 - mmengine - INFO - Epoch(train) [234][220/1879] lr: 1.0000e-04 eta: 5:10:24 time: 0.4717 data_time: 0.0167 memory: 17087 grad_norm: 7.2070 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6783 loss: 0.6783 2022/08/05 15:06:58 - mmengine - INFO - Epoch(train) [234][240/1879] lr: 1.0000e-04 eta: 5:10:15 time: 0.4321 data_time: 0.0171 memory: 17087 grad_norm: 6.8976 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8276 loss: 0.8276 2022/08/05 15:07:07 - mmengine - INFO - Epoch(train) [234][260/1879] lr: 1.0000e-04 eta: 5:10:07 time: 0.4483 data_time: 0.0171 memory: 17087 grad_norm: 7.4499 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8206 loss: 0.8206 2022/08/05 15:07:15 - mmengine - INFO - Epoch(train) [234][280/1879] lr: 1.0000e-04 eta: 5:09:58 time: 0.4307 data_time: 0.0160 memory: 17087 grad_norm: 7.3628 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8175 loss: 0.8175 2022/08/05 15:07:24 - mmengine - INFO - Epoch(train) [234][300/1879] lr: 1.0000e-04 eta: 5:09:50 time: 0.4317 data_time: 0.0141 memory: 17087 grad_norm: 7.3493 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7885 loss: 0.7885 2022/08/05 15:07:33 - mmengine - INFO - Epoch(train) [234][320/1879] lr: 1.0000e-04 eta: 5:09:41 time: 0.4518 data_time: 0.0156 memory: 17087 grad_norm: 7.1526 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0709 loss: 1.0709 2022/08/05 15:07:42 - mmengine - INFO - Epoch(train) [234][340/1879] lr: 1.0000e-04 eta: 5:09:32 time: 0.4349 data_time: 0.0207 memory: 17087 grad_norm: 7.0639 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8538 loss: 0.8538 2022/08/05 15:07:51 - mmengine - INFO - Epoch(train) [234][360/1879] lr: 1.0000e-04 eta: 5:09:24 time: 0.4766 data_time: 0.0189 memory: 17087 grad_norm: 7.0800 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8717 loss: 0.8717 2022/08/05 15:08:00 - mmengine - INFO - Epoch(train) [234][380/1879] lr: 1.0000e-04 eta: 5:09:15 time: 0.4313 data_time: 0.0164 memory: 17087 grad_norm: 7.0548 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7491 loss: 0.7491 2022/08/05 15:08:09 - mmengine - INFO - Epoch(train) [234][400/1879] lr: 1.0000e-04 eta: 5:09:06 time: 0.4365 data_time: 0.0182 memory: 17087 grad_norm: 7.1861 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7946 loss: 0.7946 2022/08/05 15:08:17 - mmengine - INFO - Epoch(train) [234][420/1879] lr: 1.0000e-04 eta: 5:08:58 time: 0.4319 data_time: 0.0153 memory: 17087 grad_norm: 7.3657 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8880 loss: 0.8880 2022/08/05 15:08:26 - mmengine - INFO - Epoch(train) [234][440/1879] lr: 1.0000e-04 eta: 5:08:49 time: 0.4398 data_time: 0.0185 memory: 17087 grad_norm: 7.2373 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7601 loss: 0.7601 2022/08/05 15:08:35 - mmengine - INFO - Epoch(train) [234][460/1879] lr: 1.0000e-04 eta: 5:08:40 time: 0.4331 data_time: 0.0170 memory: 17087 grad_norm: 7.2002 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8752 loss: 0.8752 2022/08/05 15:08:44 - mmengine - INFO - Epoch(train) [234][480/1879] lr: 1.0000e-04 eta: 5:08:32 time: 0.4340 data_time: 0.0173 memory: 17087 grad_norm: 7.1684 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7019 loss: 0.7019 2022/08/05 15:08:53 - mmengine - INFO - Epoch(train) [234][500/1879] lr: 1.0000e-04 eta: 5:08:23 time: 0.4631 data_time: 0.0176 memory: 17087 grad_norm: 7.0850 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8995 loss: 0.8995 2022/08/05 15:09:02 - mmengine - INFO - Epoch(train) [234][520/1879] lr: 1.0000e-04 eta: 5:08:14 time: 0.4333 data_time: 0.0165 memory: 17087 grad_norm: 7.0757 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8853 loss: 0.8853 2022/08/05 15:09:11 - mmengine - INFO - Epoch(train) [234][540/1879] lr: 1.0000e-04 eta: 5:08:06 time: 0.4602 data_time: 0.0162 memory: 17087 grad_norm: 7.5077 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7732 loss: 0.7732 2022/08/05 15:09:19 - mmengine - INFO - Epoch(train) [234][560/1879] lr: 1.0000e-04 eta: 5:07:57 time: 0.4325 data_time: 0.0177 memory: 17087 grad_norm: 7.2408 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8116 loss: 0.8116 2022/08/05 15:09:28 - mmengine - INFO - Epoch(train) [234][580/1879] lr: 1.0000e-04 eta: 5:07:48 time: 0.4401 data_time: 0.0183 memory: 17087 grad_norm: 7.1521 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7846 loss: 0.7846 2022/08/05 15:09:37 - mmengine - INFO - Epoch(train) [234][600/1879] lr: 1.0000e-04 eta: 5:07:40 time: 0.4348 data_time: 0.0167 memory: 17087 grad_norm: 6.8752 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8182 loss: 0.8182 2022/08/05 15:09:46 - mmengine - INFO - Epoch(train) [234][620/1879] lr: 1.0000e-04 eta: 5:07:31 time: 0.4588 data_time: 0.0165 memory: 17087 grad_norm: 7.1965 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8690 loss: 0.8690 2022/08/05 15:09:55 - mmengine - INFO - Epoch(train) [234][640/1879] lr: 1.0000e-04 eta: 5:07:23 time: 0.4333 data_time: 0.0175 memory: 17087 grad_norm: 7.2185 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8244 loss: 0.8244 2022/08/05 15:10:04 - mmengine - INFO - Epoch(train) [234][660/1879] lr: 1.0000e-04 eta: 5:07:14 time: 0.4304 data_time: 0.0140 memory: 17087 grad_norm: 7.4182 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9303 loss: 0.9303 2022/08/05 15:10:13 - mmengine - INFO - Epoch(train) [234][680/1879] lr: 1.0000e-04 eta: 5:07:05 time: 0.4571 data_time: 0.0157 memory: 17087 grad_norm: 6.8797 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7384 loss: 0.7384 2022/08/05 15:10:21 - mmengine - INFO - Epoch(train) [234][700/1879] lr: 1.0000e-04 eta: 5:06:57 time: 0.4331 data_time: 0.0156 memory: 17087 grad_norm: 7.1826 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7866 loss: 0.7866 2022/08/05 15:10:30 - mmengine - INFO - Epoch(train) [234][720/1879] lr: 1.0000e-04 eta: 5:06:48 time: 0.4501 data_time: 0.0176 memory: 17087 grad_norm: 7.1838 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7843 loss: 0.7843 2022/08/05 15:10:39 - mmengine - INFO - Epoch(train) [234][740/1879] lr: 1.0000e-04 eta: 5:06:39 time: 0.4355 data_time: 0.0160 memory: 17087 grad_norm: 7.1974 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 1.0058 loss: 1.0058 2022/08/05 15:10:48 - mmengine - INFO - Epoch(train) [234][760/1879] lr: 1.0000e-04 eta: 5:06:31 time: 0.4326 data_time: 0.0165 memory: 17087 grad_norm: 6.9939 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9583 loss: 0.9583 2022/08/05 15:10:57 - mmengine - INFO - Epoch(train) [234][780/1879] lr: 1.0000e-04 eta: 5:06:22 time: 0.4419 data_time: 0.0158 memory: 17087 grad_norm: 7.1838 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8399 loss: 0.8399 2022/08/05 15:11:05 - mmengine - INFO - Epoch(train) [234][800/1879] lr: 1.0000e-04 eta: 5:06:13 time: 0.4302 data_time: 0.0158 memory: 17087 grad_norm: 7.3912 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8502 loss: 0.8502 2022/08/05 15:11:14 - mmengine - INFO - Epoch(train) [234][820/1879] lr: 1.0000e-04 eta: 5:06:05 time: 0.4374 data_time: 0.0210 memory: 17087 grad_norm: 7.3383 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7277 loss: 0.7277 2022/08/05 15:11:24 - mmengine - INFO - Epoch(train) [234][840/1879] lr: 1.0000e-04 eta: 5:05:56 time: 0.4718 data_time: 0.0197 memory: 17087 grad_norm: 6.9544 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7957 loss: 0.7957 2022/08/05 15:11:32 - mmengine - INFO - Epoch(train) [234][860/1879] lr: 1.0000e-04 eta: 5:05:47 time: 0.4370 data_time: 0.0221 memory: 17087 grad_norm: 6.9904 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8372 loss: 0.8372 2022/08/05 15:11:41 - mmengine - INFO - Epoch(train) [234][880/1879] lr: 1.0000e-04 eta: 5:05:39 time: 0.4456 data_time: 0.0179 memory: 17087 grad_norm: 7.2989 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8832 loss: 0.8832 2022/08/05 15:11:50 - mmengine - INFO - Epoch(train) [234][900/1879] lr: 1.0000e-04 eta: 5:05:30 time: 0.4340 data_time: 0.0164 memory: 17087 grad_norm: 7.3349 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 1.0821 loss: 1.0821 2022/08/05 15:11:59 - mmengine - INFO - Epoch(train) [234][920/1879] lr: 1.0000e-04 eta: 5:05:21 time: 0.4502 data_time: 0.0174 memory: 17087 grad_norm: 7.5297 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9337 loss: 0.9337 2022/08/05 15:12:08 - mmengine - INFO - Epoch(train) [234][940/1879] lr: 1.0000e-04 eta: 5:05:13 time: 0.4347 data_time: 0.0158 memory: 17087 grad_norm: 7.0321 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7672 loss: 0.7672 2022/08/05 15:12:17 - mmengine - INFO - Epoch(train) [234][960/1879] lr: 1.0000e-04 eta: 5:05:04 time: 0.4746 data_time: 0.0181 memory: 17087 grad_norm: 7.0091 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9274 loss: 0.9274 2022/08/05 15:12:26 - mmengine - INFO - Epoch(train) [234][980/1879] lr: 1.0000e-04 eta: 5:04:56 time: 0.4372 data_time: 0.0215 memory: 17087 grad_norm: 7.0527 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8113 loss: 0.8113 2022/08/05 15:12:35 - mmengine - INFO - Epoch(train) [234][1000/1879] lr: 1.0000e-04 eta: 5:04:47 time: 0.4327 data_time: 0.0171 memory: 17087 grad_norm: 6.7020 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7751 loss: 0.7751 2022/08/05 15:12:43 - mmengine - INFO - Epoch(train) [234][1020/1879] lr: 1.0000e-04 eta: 5:04:38 time: 0.4346 data_time: 0.0156 memory: 17087 grad_norm: 7.2606 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9731 loss: 0.9731 2022/08/05 15:12:52 - mmengine - INFO - Epoch(train) [234][1040/1879] lr: 1.0000e-04 eta: 5:04:30 time: 0.4365 data_time: 0.0156 memory: 17087 grad_norm: 7.2173 top1_acc: 0.5000 top5_acc: 1.0000 loss_cls: 0.8962 loss: 0.8962 2022/08/05 15:13:01 - mmengine - INFO - Epoch(train) [234][1060/1879] lr: 1.0000e-04 eta: 5:04:21 time: 0.4509 data_time: 0.0177 memory: 17087 grad_norm: 7.2012 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8346 loss: 0.8346 2022/08/05 15:13:10 - mmengine - INFO - Epoch(train) [234][1080/1879] lr: 1.0000e-04 eta: 5:04:12 time: 0.4421 data_time: 0.0173 memory: 17087 grad_norm: 7.2824 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7269 loss: 0.7269 2022/08/05 15:13:19 - mmengine - INFO - Epoch(train) [234][1100/1879] lr: 1.0000e-04 eta: 5:04:04 time: 0.4337 data_time: 0.0154 memory: 17087 grad_norm: 6.8423 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8415 loss: 0.8415 2022/08/05 15:13:28 - mmengine - INFO - Epoch(train) [234][1120/1879] lr: 1.0000e-04 eta: 5:03:55 time: 0.4379 data_time: 0.0177 memory: 17087 grad_norm: 7.1919 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8238 loss: 0.8238 2022/08/05 15:13:36 - mmengine - INFO - Epoch(train) [234][1140/1879] lr: 1.0000e-04 eta: 5:03:46 time: 0.4479 data_time: 0.0163 memory: 17087 grad_norm: 7.0537 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7795 loss: 0.7795 2022/08/05 15:13:45 - mmengine - INFO - Epoch(train) [234][1160/1879] lr: 1.0000e-04 eta: 5:03:38 time: 0.4298 data_time: 0.0156 memory: 17087 grad_norm: 7.2586 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9397 loss: 0.9397 2022/08/05 15:13:54 - mmengine - INFO - Epoch(train) [234][1180/1879] lr: 1.0000e-04 eta: 5:03:29 time: 0.4368 data_time: 0.0163 memory: 17087 grad_norm: 7.1706 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6825 loss: 0.6825 2022/08/05 15:14:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 15:14:03 - mmengine - INFO - Epoch(train) [234][1200/1879] lr: 1.0000e-04 eta: 5:03:20 time: 0.4331 data_time: 0.0169 memory: 17087 grad_norm: 7.1836 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6780 loss: 0.6780 2022/08/05 15:14:11 - mmengine - INFO - Epoch(train) [234][1220/1879] lr: 1.0000e-04 eta: 5:03:12 time: 0.4445 data_time: 0.0154 memory: 17087 grad_norm: 7.1524 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8770 loss: 0.8770 2022/08/05 15:14:20 - mmengine - INFO - Epoch(train) [234][1240/1879] lr: 1.0000e-04 eta: 5:03:03 time: 0.4347 data_time: 0.0190 memory: 17087 grad_norm: 7.0351 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7334 loss: 0.7334 2022/08/05 15:14:29 - mmengine - INFO - Epoch(train) [234][1260/1879] lr: 1.0000e-04 eta: 5:02:54 time: 0.4444 data_time: 0.0152 memory: 17087 grad_norm: 7.0489 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7399 loss: 0.7399 2022/08/05 15:14:38 - mmengine - INFO - Epoch(train) [234][1280/1879] lr: 1.0000e-04 eta: 5:02:46 time: 0.4326 data_time: 0.0168 memory: 17087 grad_norm: 7.3162 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8022 loss: 0.8022 2022/08/05 15:14:47 - mmengine - INFO - Epoch(train) [234][1300/1879] lr: 1.0000e-04 eta: 5:02:37 time: 0.4385 data_time: 0.0170 memory: 17087 grad_norm: 7.1100 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8754 loss: 0.8754 2022/08/05 15:14:55 - mmengine - INFO - Epoch(train) [234][1320/1879] lr: 1.0000e-04 eta: 5:02:28 time: 0.4312 data_time: 0.0161 memory: 17087 grad_norm: 7.1108 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8724 loss: 0.8724 2022/08/05 15:15:04 - mmengine - INFO - Epoch(train) [234][1340/1879] lr: 1.0000e-04 eta: 5:02:20 time: 0.4298 data_time: 0.0147 memory: 17087 grad_norm: 7.1588 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7556 loss: 0.7556 2022/08/05 15:15:13 - mmengine - INFO - Epoch(train) [234][1360/1879] lr: 1.0000e-04 eta: 5:02:11 time: 0.4375 data_time: 0.0172 memory: 17087 grad_norm: 7.0589 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7744 loss: 0.7744 2022/08/05 15:15:21 - mmengine - INFO - Epoch(train) [234][1380/1879] lr: 1.0000e-04 eta: 5:02:02 time: 0.4310 data_time: 0.0169 memory: 17087 grad_norm: 6.9863 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8144 loss: 0.8144 2022/08/05 15:15:30 - mmengine - INFO - Epoch(train) [234][1400/1879] lr: 1.0000e-04 eta: 5:01:54 time: 0.4337 data_time: 0.0196 memory: 17087 grad_norm: 7.1502 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8872 loss: 0.8872 2022/08/05 15:15:39 - mmengine - INFO - Epoch(train) [234][1420/1879] lr: 1.0000e-04 eta: 5:01:45 time: 0.4303 data_time: 0.0156 memory: 17087 grad_norm: 7.0917 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7481 loss: 0.7481 2022/08/05 15:15:48 - mmengine - INFO - Epoch(train) [234][1440/1879] lr: 1.0000e-04 eta: 5:01:37 time: 0.4488 data_time: 0.0178 memory: 17087 grad_norm: 7.3085 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8874 loss: 0.8874 2022/08/05 15:15:56 - mmengine - INFO - Epoch(train) [234][1460/1879] lr: 1.0000e-04 eta: 5:01:28 time: 0.4299 data_time: 0.0152 memory: 17087 grad_norm: 6.8897 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8323 loss: 0.8323 2022/08/05 15:16:05 - mmengine - INFO - Epoch(train) [234][1480/1879] lr: 1.0000e-04 eta: 5:01:19 time: 0.4316 data_time: 0.0152 memory: 17087 grad_norm: 7.1530 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8128 loss: 0.8128 2022/08/05 15:16:14 - mmengine - INFO - Epoch(train) [234][1500/1879] lr: 1.0000e-04 eta: 5:01:11 time: 0.4401 data_time: 0.0169 memory: 17087 grad_norm: 7.1509 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7546 loss: 0.7546 2022/08/05 15:16:22 - mmengine - INFO - Epoch(train) [234][1520/1879] lr: 1.0000e-04 eta: 5:01:02 time: 0.4325 data_time: 0.0164 memory: 17087 grad_norm: 7.2349 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8427 loss: 0.8427 2022/08/05 15:16:32 - mmengine - INFO - Epoch(train) [234][1540/1879] lr: 1.0000e-04 eta: 5:00:53 time: 0.4747 data_time: 0.0184 memory: 17087 grad_norm: 7.3121 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9311 loss: 0.9311 2022/08/05 15:16:41 - mmengine - INFO - Epoch(train) [234][1560/1879] lr: 1.0000e-04 eta: 5:00:45 time: 0.4316 data_time: 0.0165 memory: 17087 grad_norm: 7.1844 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8631 loss: 0.8631 2022/08/05 15:16:50 - mmengine - INFO - Epoch(train) [234][1580/1879] lr: 1.0000e-04 eta: 5:00:36 time: 0.4470 data_time: 0.0154 memory: 17087 grad_norm: 7.1693 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8098 loss: 0.8098 2022/08/05 15:16:58 - mmengine - INFO - Epoch(train) [234][1600/1879] lr: 1.0000e-04 eta: 5:00:27 time: 0.4329 data_time: 0.0170 memory: 17087 grad_norm: 7.3596 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8658 loss: 0.8658 2022/08/05 15:17:07 - mmengine - INFO - Epoch(train) [234][1620/1879] lr: 1.0000e-04 eta: 5:00:19 time: 0.4418 data_time: 0.0168 memory: 17087 grad_norm: 7.3405 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6996 loss: 0.6996 2022/08/05 15:17:16 - mmengine - INFO - Epoch(train) [234][1640/1879] lr: 1.0000e-04 eta: 5:00:10 time: 0.4315 data_time: 0.0170 memory: 17087 grad_norm: 6.9580 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6891 loss: 0.6891 2022/08/05 15:17:24 - mmengine - INFO - Epoch(train) [234][1660/1879] lr: 1.0000e-04 eta: 5:00:01 time: 0.4311 data_time: 0.0154 memory: 17087 grad_norm: 7.1914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8596 loss: 0.8596 2022/08/05 15:17:34 - mmengine - INFO - Epoch(train) [234][1680/1879] lr: 1.0000e-04 eta: 4:59:53 time: 0.4742 data_time: 0.0182 memory: 17087 grad_norm: 7.3871 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8693 loss: 0.8693 2022/08/05 15:17:43 - mmengine - INFO - Epoch(train) [234][1700/1879] lr: 1.0000e-04 eta: 4:59:44 time: 0.4332 data_time: 0.0156 memory: 17087 grad_norm: 6.8771 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6678 loss: 0.6678 2022/08/05 15:17:52 - mmengine - INFO - Epoch(train) [234][1720/1879] lr: 1.0000e-04 eta: 4:59:35 time: 0.4691 data_time: 0.0178 memory: 17087 grad_norm: 7.0714 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8586 loss: 0.8586 2022/08/05 15:18:01 - mmengine - INFO - Epoch(train) [234][1740/1879] lr: 1.0000e-04 eta: 4:59:27 time: 0.4311 data_time: 0.0168 memory: 17087 grad_norm: 7.1237 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7029 loss: 0.7029 2022/08/05 15:18:10 - mmengine - INFO - Epoch(train) [234][1760/1879] lr: 1.0000e-04 eta: 4:59:18 time: 0.4615 data_time: 0.0204 memory: 17087 grad_norm: 7.3393 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8494 loss: 0.8494 2022/08/05 15:18:18 - mmengine - INFO - Epoch(train) [234][1780/1879] lr: 1.0000e-04 eta: 4:59:10 time: 0.4311 data_time: 0.0179 memory: 17087 grad_norm: 7.1715 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8153 loss: 0.8153 2022/08/05 15:18:28 - mmengine - INFO - Epoch(train) [234][1800/1879] lr: 1.0000e-04 eta: 4:59:01 time: 0.4700 data_time: 0.0173 memory: 17087 grad_norm: 7.1695 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7988 loss: 0.7988 2022/08/05 15:18:37 - mmengine - INFO - Epoch(train) [234][1820/1879] lr: 1.0000e-04 eta: 4:58:52 time: 0.4301 data_time: 0.0151 memory: 17087 grad_norm: 7.0657 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6532 loss: 0.6532 2022/08/05 15:18:45 - mmengine - INFO - Epoch(train) [234][1840/1879] lr: 1.0000e-04 eta: 4:58:44 time: 0.4319 data_time: 0.0165 memory: 17087 grad_norm: 6.9831 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7859 loss: 0.7859 2022/08/05 15:18:54 - mmengine - INFO - Epoch(train) [234][1860/1879] lr: 1.0000e-04 eta: 4:58:35 time: 0.4591 data_time: 0.0166 memory: 17087 grad_norm: 7.4427 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9190 loss: 0.9190 2022/08/05 15:19:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 15:19:02 - mmengine - INFO - Epoch(train) [234][1879/1879] lr: 1.0000e-04 eta: 4:58:35 time: 0.4124 data_time: 0.0145 memory: 17087 grad_norm: 7.4451 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.8138 loss: 0.8138 2022/08/05 15:19:13 - mmengine - INFO - Epoch(train) [235][20/1879] lr: 1.0000e-04 eta: 4:58:18 time: 0.5543 data_time: 0.1070 memory: 17087 grad_norm: 7.1606 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6698 loss: 0.6698 2022/08/05 15:19:23 - mmengine - INFO - Epoch(train) [235][40/1879] lr: 1.0000e-04 eta: 4:58:09 time: 0.4619 data_time: 0.0183 memory: 17087 grad_norm: 7.0170 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7791 loss: 0.7791 2022/08/05 15:19:31 - mmengine - INFO - Epoch(train) [235][60/1879] lr: 1.0000e-04 eta: 4:58:00 time: 0.4311 data_time: 0.0150 memory: 17087 grad_norm: 6.9086 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6304 loss: 0.6304 2022/08/05 15:19:40 - mmengine - INFO - Epoch(train) [235][80/1879] lr: 1.0000e-04 eta: 4:57:52 time: 0.4528 data_time: 0.0185 memory: 17087 grad_norm: 7.1215 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8821 loss: 0.8821 2022/08/05 15:19:49 - mmengine - INFO - Epoch(train) [235][100/1879] lr: 1.0000e-04 eta: 4:57:43 time: 0.4407 data_time: 0.0169 memory: 17087 grad_norm: 7.4217 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7437 loss: 0.7437 2022/08/05 15:19:58 - mmengine - INFO - Epoch(train) [235][120/1879] lr: 1.0000e-04 eta: 4:57:34 time: 0.4380 data_time: 0.0193 memory: 17087 grad_norm: 7.0001 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7021 loss: 0.7021 2022/08/05 15:20:07 - mmengine - INFO - Epoch(train) [235][140/1879] lr: 1.0000e-04 eta: 4:57:26 time: 0.4351 data_time: 0.0162 memory: 17087 grad_norm: 7.1659 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8398 loss: 0.8398 2022/08/05 15:20:15 - mmengine - INFO - Epoch(train) [235][160/1879] lr: 1.0000e-04 eta: 4:57:17 time: 0.4319 data_time: 0.0166 memory: 17087 grad_norm: 6.9831 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7316 loss: 0.7316 2022/08/05 15:20:24 - mmengine - INFO - Epoch(train) [235][180/1879] lr: 1.0000e-04 eta: 4:57:08 time: 0.4390 data_time: 0.0142 memory: 17087 grad_norm: 6.9550 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7732 loss: 0.7732 2022/08/05 15:20:33 - mmengine - INFO - Epoch(train) [235][200/1879] lr: 1.0000e-04 eta: 4:57:00 time: 0.4351 data_time: 0.0169 memory: 17087 grad_norm: 7.2223 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7679 loss: 0.7679 2022/08/05 15:20:42 - mmengine - INFO - Epoch(train) [235][220/1879] lr: 1.0000e-04 eta: 4:56:51 time: 0.4561 data_time: 0.0160 memory: 17087 grad_norm: 7.0164 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7058 loss: 0.7058 2022/08/05 15:20:51 - mmengine - INFO - Epoch(train) [235][240/1879] lr: 1.0000e-04 eta: 4:56:42 time: 0.4345 data_time: 0.0165 memory: 17087 grad_norm: 7.0628 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8414 loss: 0.8414 2022/08/05 15:21:00 - mmengine - INFO - Epoch(train) [235][260/1879] lr: 1.0000e-04 eta: 4:56:34 time: 0.4412 data_time: 0.0168 memory: 17087 grad_norm: 7.2349 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9032 loss: 0.9032 2022/08/05 15:21:08 - mmengine - INFO - Epoch(train) [235][280/1879] lr: 1.0000e-04 eta: 4:56:25 time: 0.4325 data_time: 0.0166 memory: 17087 grad_norm: 7.2250 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0400 loss: 1.0400 2022/08/05 15:21:17 - mmengine - INFO - Epoch(train) [235][300/1879] lr: 1.0000e-04 eta: 4:56:16 time: 0.4380 data_time: 0.0170 memory: 17087 grad_norm: 7.0489 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7622 loss: 0.7622 2022/08/05 15:21:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 15:21:26 - mmengine - INFO - Epoch(train) [235][320/1879] lr: 1.0000e-04 eta: 4:56:08 time: 0.4340 data_time: 0.0168 memory: 17087 grad_norm: 7.0899 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7366 loss: 0.7366 2022/08/05 15:21:35 - mmengine - INFO - Epoch(train) [235][340/1879] lr: 1.0000e-04 eta: 4:55:59 time: 0.4316 data_time: 0.0139 memory: 17087 grad_norm: 6.9883 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7620 loss: 0.7620 2022/08/05 15:21:43 - mmengine - INFO - Epoch(train) [235][360/1879] lr: 1.0000e-04 eta: 4:55:50 time: 0.4351 data_time: 0.0156 memory: 17087 grad_norm: 7.2346 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7533 loss: 0.7533 2022/08/05 15:21:52 - mmengine - INFO - Epoch(train) [235][380/1879] lr: 1.0000e-04 eta: 4:55:42 time: 0.4295 data_time: 0.0149 memory: 17087 grad_norm: 7.1893 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8321 loss: 0.8321 2022/08/05 15:22:01 - mmengine - INFO - Epoch(train) [235][400/1879] lr: 1.0000e-04 eta: 4:55:33 time: 0.4597 data_time: 0.0161 memory: 17087 grad_norm: 7.0224 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8598 loss: 0.8598 2022/08/05 15:22:10 - mmengine - INFO - Epoch(train) [235][420/1879] lr: 1.0000e-04 eta: 4:55:25 time: 0.4306 data_time: 0.0159 memory: 17087 grad_norm: 7.5198 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8951 loss: 0.8951 2022/08/05 15:22:19 - mmengine - INFO - Epoch(train) [235][440/1879] lr: 1.0000e-04 eta: 4:55:16 time: 0.4787 data_time: 0.0191 memory: 17087 grad_norm: 7.1598 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8927 loss: 0.8927 2022/08/05 15:22:28 - mmengine - INFO - Epoch(train) [235][460/1879] lr: 1.0000e-04 eta: 4:55:07 time: 0.4307 data_time: 0.0151 memory: 17087 grad_norm: 7.2332 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8085 loss: 0.8085 2022/08/05 15:22:37 - mmengine - INFO - Epoch(train) [235][480/1879] lr: 1.0000e-04 eta: 4:54:59 time: 0.4508 data_time: 0.0182 memory: 17087 grad_norm: 7.1836 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8942 loss: 0.8942 2022/08/05 15:22:46 - mmengine - INFO - Epoch(train) [235][500/1879] lr: 1.0000e-04 eta: 4:54:50 time: 0.4311 data_time: 0.0145 memory: 17087 grad_norm: 7.1486 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7455 loss: 0.7455 2022/08/05 15:22:54 - mmengine - INFO - Epoch(train) [235][520/1879] lr: 1.0000e-04 eta: 4:54:41 time: 0.4318 data_time: 0.0157 memory: 17087 grad_norm: 7.3671 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8456 loss: 0.8456 2022/08/05 15:23:03 - mmengine - INFO - Epoch(train) [235][540/1879] lr: 1.0000e-04 eta: 4:54:33 time: 0.4525 data_time: 0.0164 memory: 17087 grad_norm: 7.3434 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8645 loss: 0.8645 2022/08/05 15:23:12 - mmengine - INFO - Epoch(train) [235][560/1879] lr: 1.0000e-04 eta: 4:54:24 time: 0.4341 data_time: 0.0170 memory: 17087 grad_norm: 7.0262 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.5912 loss: 0.5912 2022/08/05 15:23:21 - mmengine - INFO - Epoch(train) [235][580/1879] lr: 1.0000e-04 eta: 4:54:15 time: 0.4355 data_time: 0.0166 memory: 17087 grad_norm: 7.2375 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7627 loss: 0.7627 2022/08/05 15:23:30 - mmengine - INFO - Epoch(train) [235][600/1879] lr: 1.0000e-04 eta: 4:54:07 time: 0.4326 data_time: 0.0171 memory: 17087 grad_norm: 7.1580 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8115 loss: 0.8115 2022/08/05 15:23:38 - mmengine - INFO - Epoch(train) [235][620/1879] lr: 1.0000e-04 eta: 4:53:58 time: 0.4375 data_time: 0.0172 memory: 17087 grad_norm: 7.3043 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9253 loss: 0.9253 2022/08/05 15:23:47 - mmengine - INFO - Epoch(train) [235][640/1879] lr: 1.0000e-04 eta: 4:53:49 time: 0.4324 data_time: 0.0172 memory: 17087 grad_norm: 7.0546 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7193 loss: 0.7193 2022/08/05 15:23:56 - mmengine - INFO - Epoch(train) [235][660/1879] lr: 1.0000e-04 eta: 4:53:41 time: 0.4313 data_time: 0.0166 memory: 17087 grad_norm: 7.3491 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8697 loss: 0.8697 2022/08/05 15:24:04 - mmengine - INFO - Epoch(train) [235][680/1879] lr: 1.0000e-04 eta: 4:53:32 time: 0.4367 data_time: 0.0188 memory: 17087 grad_norm: 7.4967 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8849 loss: 0.8849 2022/08/05 15:24:13 - mmengine - INFO - Epoch(train) [235][700/1879] lr: 1.0000e-04 eta: 4:53:23 time: 0.4306 data_time: 0.0154 memory: 17087 grad_norm: 6.9543 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8224 loss: 0.8224 2022/08/05 15:24:22 - mmengine - INFO - Epoch(train) [235][720/1879] lr: 1.0000e-04 eta: 4:53:15 time: 0.4411 data_time: 0.0194 memory: 17087 grad_norm: 7.4296 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9060 loss: 0.9060 2022/08/05 15:24:30 - mmengine - INFO - Epoch(train) [235][740/1879] lr: 1.0000e-04 eta: 4:53:06 time: 0.4303 data_time: 0.0154 memory: 17087 grad_norm: 6.8818 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8610 loss: 0.8610 2022/08/05 15:24:39 - mmengine - INFO - Epoch(train) [235][760/1879] lr: 1.0000e-04 eta: 4:52:57 time: 0.4385 data_time: 0.0174 memory: 17087 grad_norm: 7.0328 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7320 loss: 0.7320 2022/08/05 15:24:48 - mmengine - INFO - Epoch(train) [235][780/1879] lr: 1.0000e-04 eta: 4:52:49 time: 0.4358 data_time: 0.0162 memory: 17087 grad_norm: 7.3849 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9045 loss: 0.9045 2022/08/05 15:24:57 - mmengine - INFO - Epoch(train) [235][800/1879] lr: 1.0000e-04 eta: 4:52:40 time: 0.4325 data_time: 0.0164 memory: 17087 grad_norm: 6.9420 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8380 loss: 0.8380 2022/08/05 15:25:05 - mmengine - INFO - Epoch(train) [235][820/1879] lr: 1.0000e-04 eta: 4:52:31 time: 0.4315 data_time: 0.0164 memory: 17087 grad_norm: 7.3066 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8384 loss: 0.8384 2022/08/05 15:25:14 - mmengine - INFO - Epoch(train) [235][840/1879] lr: 1.0000e-04 eta: 4:52:23 time: 0.4419 data_time: 0.0178 memory: 17087 grad_norm: 6.9906 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7077 loss: 0.7077 2022/08/05 15:25:23 - mmengine - INFO - Epoch(train) [235][860/1879] lr: 1.0000e-04 eta: 4:52:14 time: 0.4284 data_time: 0.0143 memory: 17087 grad_norm: 7.1089 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8406 loss: 0.8406 2022/08/05 15:25:32 - mmengine - INFO - Epoch(train) [235][880/1879] lr: 1.0000e-04 eta: 4:52:05 time: 0.4387 data_time: 0.0171 memory: 17087 grad_norm: 6.9778 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8345 loss: 0.8345 2022/08/05 15:25:40 - mmengine - INFO - Epoch(train) [235][900/1879] lr: 1.0000e-04 eta: 4:51:57 time: 0.4281 data_time: 0.0136 memory: 17087 grad_norm: 7.3975 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8110 loss: 0.8110 2022/08/05 15:25:49 - mmengine - INFO - Epoch(train) [235][920/1879] lr: 1.0000e-04 eta: 4:51:48 time: 0.4356 data_time: 0.0188 memory: 17087 grad_norm: 7.2681 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 1.1091 loss: 1.1091 2022/08/05 15:25:58 - mmengine - INFO - Epoch(train) [235][940/1879] lr: 1.0000e-04 eta: 4:51:39 time: 0.4321 data_time: 0.0157 memory: 17087 grad_norm: 7.1154 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8000 loss: 0.8000 2022/08/05 15:26:06 - mmengine - INFO - Epoch(train) [235][960/1879] lr: 1.0000e-04 eta: 4:51:31 time: 0.4326 data_time: 0.0170 memory: 17087 grad_norm: 7.0665 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8147 loss: 0.8147 2022/08/05 15:26:15 - mmengine - INFO - Epoch(train) [235][980/1879] lr: 1.0000e-04 eta: 4:51:22 time: 0.4306 data_time: 0.0146 memory: 17087 grad_norm: 7.1533 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9662 loss: 0.9662 2022/08/05 15:26:24 - mmengine - INFO - Epoch(train) [235][1000/1879] lr: 1.0000e-04 eta: 4:51:13 time: 0.4341 data_time: 0.0179 memory: 17087 grad_norm: 6.9768 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8975 loss: 0.8975 2022/08/05 15:26:33 - mmengine - INFO - Epoch(train) [235][1020/1879] lr: 1.0000e-04 eta: 4:51:05 time: 0.4650 data_time: 0.0164 memory: 17087 grad_norm: 7.1084 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7339 loss: 0.7339 2022/08/05 15:26:42 - mmengine - INFO - Epoch(train) [235][1040/1879] lr: 1.0000e-04 eta: 4:50:56 time: 0.4336 data_time: 0.0174 memory: 17087 grad_norm: 6.9584 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8755 loss: 0.8755 2022/08/05 15:26:50 - mmengine - INFO - Epoch(train) [235][1060/1879] lr: 1.0000e-04 eta: 4:50:48 time: 0.4374 data_time: 0.0171 memory: 17087 grad_norm: 6.7071 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8096 loss: 0.8096 2022/08/05 15:26:59 - mmengine - INFO - Epoch(train) [235][1080/1879] lr: 1.0000e-04 eta: 4:50:39 time: 0.4322 data_time: 0.0181 memory: 17087 grad_norm: 7.2624 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7660 loss: 0.7660 2022/08/05 15:27:09 - mmengine - INFO - Epoch(train) [235][1100/1879] lr: 1.0000e-04 eta: 4:50:30 time: 0.4709 data_time: 0.0167 memory: 17087 grad_norm: 7.3159 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8571 loss: 0.8571 2022/08/05 15:27:17 - mmengine - INFO - Epoch(train) [235][1120/1879] lr: 1.0000e-04 eta: 4:50:22 time: 0.4342 data_time: 0.0165 memory: 17087 grad_norm: 7.1077 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9589 loss: 0.9589 2022/08/05 15:27:26 - mmengine - INFO - Epoch(train) [235][1140/1879] lr: 1.0000e-04 eta: 4:50:13 time: 0.4304 data_time: 0.0147 memory: 17087 grad_norm: 7.0489 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9054 loss: 0.9054 2022/08/05 15:27:35 - mmengine - INFO - Epoch(train) [235][1160/1879] lr: 1.0000e-04 eta: 4:50:04 time: 0.4671 data_time: 0.0181 memory: 17087 grad_norm: 7.4084 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9651 loss: 0.9651 2022/08/05 15:27:44 - mmengine - INFO - Epoch(train) [235][1180/1879] lr: 1.0000e-04 eta: 4:49:56 time: 0.4312 data_time: 0.0153 memory: 17087 grad_norm: 7.1474 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7511 loss: 0.7511 2022/08/05 15:27:53 - mmengine - INFO - Epoch(train) [235][1200/1879] lr: 1.0000e-04 eta: 4:49:47 time: 0.4477 data_time: 0.0193 memory: 17087 grad_norm: 7.1473 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8249 loss: 0.8249 2022/08/05 15:28:01 - mmengine - INFO - Epoch(train) [235][1220/1879] lr: 1.0000e-04 eta: 4:49:38 time: 0.4295 data_time: 0.0151 memory: 17087 grad_norm: 6.9752 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8267 loss: 0.8267 2022/08/05 15:28:10 - mmengine - INFO - Epoch(train) [235][1240/1879] lr: 1.0000e-04 eta: 4:49:30 time: 0.4472 data_time: 0.0175 memory: 17087 grad_norm: 6.9253 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8648 loss: 0.8648 2022/08/05 15:28:19 - mmengine - INFO - Epoch(train) [235][1260/1879] lr: 1.0000e-04 eta: 4:49:21 time: 0.4331 data_time: 0.0156 memory: 17087 grad_norm: 7.2422 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.7125 loss: 0.7125 2022/08/05 15:28:28 - mmengine - INFO - Epoch(train) [235][1280/1879] lr: 1.0000e-04 eta: 4:49:12 time: 0.4355 data_time: 0.0215 memory: 17087 grad_norm: 7.4890 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9505 loss: 0.9505 2022/08/05 15:28:36 - mmengine - INFO - Epoch(train) [235][1300/1879] lr: 1.0000e-04 eta: 4:49:04 time: 0.4303 data_time: 0.0149 memory: 17087 grad_norm: 7.0640 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8930 loss: 0.8930 2022/08/05 15:28:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 15:28:45 - mmengine - INFO - Epoch(train) [235][1320/1879] lr: 1.0000e-04 eta: 4:48:55 time: 0.4327 data_time: 0.0183 memory: 17087 grad_norm: 7.0767 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8128 loss: 0.8128 2022/08/05 15:28:54 - mmengine - INFO - Epoch(train) [235][1340/1879] lr: 1.0000e-04 eta: 4:48:46 time: 0.4357 data_time: 0.0142 memory: 17087 grad_norm: 7.3780 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.8787 loss: 0.8787 2022/08/05 15:29:03 - mmengine - INFO - Epoch(train) [235][1360/1879] lr: 1.0000e-04 eta: 4:48:38 time: 0.4344 data_time: 0.0182 memory: 17087 grad_norm: 7.3715 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9589 loss: 0.9589 2022/08/05 15:29:11 - mmengine - INFO - Epoch(train) [235][1380/1879] lr: 1.0000e-04 eta: 4:48:29 time: 0.4316 data_time: 0.0137 memory: 17087 grad_norm: 7.2105 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8578 loss: 0.8578 2022/08/05 15:29:20 - mmengine - INFO - Epoch(train) [235][1400/1879] lr: 1.0000e-04 eta: 4:48:20 time: 0.4344 data_time: 0.0191 memory: 17087 grad_norm: 7.1442 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8345 loss: 0.8345 2022/08/05 15:29:29 - mmengine - INFO - Epoch(train) [235][1420/1879] lr: 1.0000e-04 eta: 4:48:12 time: 0.4421 data_time: 0.0203 memory: 17087 grad_norm: 6.9623 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7430 loss: 0.7430 2022/08/05 15:29:38 - mmengine - INFO - Epoch(train) [235][1440/1879] lr: 1.0000e-04 eta: 4:48:03 time: 0.4350 data_time: 0.0186 memory: 17087 grad_norm: 7.4223 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8888 loss: 0.8888 2022/08/05 15:29:46 - mmengine - INFO - Epoch(train) [235][1460/1879] lr: 1.0000e-04 eta: 4:47:54 time: 0.4307 data_time: 0.0151 memory: 17087 grad_norm: 7.2017 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9771 loss: 0.9771 2022/08/05 15:29:55 - mmengine - INFO - Epoch(train) [235][1480/1879] lr: 1.0000e-04 eta: 4:47:46 time: 0.4347 data_time: 0.0174 memory: 17087 grad_norm: 7.2197 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8888 loss: 0.8888 2022/08/05 15:30:04 - mmengine - INFO - Epoch(train) [235][1500/1879] lr: 1.0000e-04 eta: 4:47:37 time: 0.4330 data_time: 0.0171 memory: 17087 grad_norm: 6.9651 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7773 loss: 0.7773 2022/08/05 15:30:12 - mmengine - INFO - Epoch(train) [235][1520/1879] lr: 1.0000e-04 eta: 4:47:28 time: 0.4370 data_time: 0.0175 memory: 17087 grad_norm: 6.9867 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7196 loss: 0.7196 2022/08/05 15:30:21 - mmengine - INFO - Epoch(train) [235][1540/1879] lr: 1.0000e-04 eta: 4:47:20 time: 0.4334 data_time: 0.0155 memory: 17087 grad_norm: 7.2351 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9372 loss: 0.9372 2022/08/05 15:30:30 - mmengine - INFO - Epoch(train) [235][1560/1879] lr: 1.0000e-04 eta: 4:47:11 time: 0.4324 data_time: 0.0154 memory: 17087 grad_norm: 7.0625 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8084 loss: 0.8084 2022/08/05 15:30:38 - mmengine - INFO - Epoch(train) [235][1580/1879] lr: 1.0000e-04 eta: 4:47:02 time: 0.4322 data_time: 0.0166 memory: 17087 grad_norm: 7.2295 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9603 loss: 0.9603 2022/08/05 15:30:47 - mmengine - INFO - Epoch(train) [235][1600/1879] lr: 1.0000e-04 eta: 4:46:54 time: 0.4343 data_time: 0.0163 memory: 17087 grad_norm: 7.2988 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8148 loss: 0.8148 2022/08/05 15:30:56 - mmengine - INFO - Epoch(train) [235][1620/1879] lr: 1.0000e-04 eta: 4:46:45 time: 0.4359 data_time: 0.0152 memory: 17087 grad_norm: 6.8181 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8582 loss: 0.8582 2022/08/05 15:31:05 - mmengine - INFO - Epoch(train) [235][1640/1879] lr: 1.0000e-04 eta: 4:46:36 time: 0.4337 data_time: 0.0185 memory: 17087 grad_norm: 6.6986 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6415 loss: 0.6415 2022/08/05 15:31:13 - mmengine - INFO - Epoch(train) [235][1660/1879] lr: 1.0000e-04 eta: 4:46:28 time: 0.4342 data_time: 0.0133 memory: 17087 grad_norm: 7.3459 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0155 loss: 1.0155 2022/08/05 15:31:22 - mmengine - INFO - Epoch(train) [235][1680/1879] lr: 1.0000e-04 eta: 4:46:19 time: 0.4325 data_time: 0.0176 memory: 17087 grad_norm: 7.2357 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7788 loss: 0.7788 2022/08/05 15:31:31 - mmengine - INFO - Epoch(train) [235][1700/1879] lr: 1.0000e-04 eta: 4:46:11 time: 0.4657 data_time: 0.0135 memory: 17087 grad_norm: 7.3264 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8174 loss: 0.8174 2022/08/05 15:31:40 - mmengine - INFO - Epoch(train) [235][1720/1879] lr: 1.0000e-04 eta: 4:46:02 time: 0.4374 data_time: 0.0223 memory: 17087 grad_norm: 7.2319 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7897 loss: 0.7897 2022/08/05 15:31:49 - mmengine - INFO - Epoch(train) [235][1740/1879] lr: 1.0000e-04 eta: 4:45:53 time: 0.4366 data_time: 0.0135 memory: 17087 grad_norm: 7.3241 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8746 loss: 0.8746 2022/08/05 15:31:57 - mmengine - INFO - Epoch(train) [235][1760/1879] lr: 1.0000e-04 eta: 4:45:45 time: 0.4332 data_time: 0.0164 memory: 17087 grad_norm: 6.9592 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9520 loss: 0.9520 2022/08/05 15:32:06 - mmengine - INFO - Epoch(train) [235][1780/1879] lr: 1.0000e-04 eta: 4:45:36 time: 0.4284 data_time: 0.0142 memory: 17087 grad_norm: 6.9916 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7469 loss: 0.7469 2022/08/05 15:32:15 - mmengine - INFO - Epoch(train) [235][1800/1879] lr: 1.0000e-04 eta: 4:45:27 time: 0.4426 data_time: 0.0153 memory: 17087 grad_norm: 7.0240 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9118 loss: 0.9118 2022/08/05 15:32:24 - mmengine - INFO - Epoch(train) [235][1820/1879] lr: 1.0000e-04 eta: 4:45:19 time: 0.4557 data_time: 0.0157 memory: 17087 grad_norm: 7.0837 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8152 loss: 0.8152 2022/08/05 15:32:33 - mmengine - INFO - Epoch(train) [235][1840/1879] lr: 1.0000e-04 eta: 4:45:10 time: 0.4373 data_time: 0.0164 memory: 17087 grad_norm: 7.0373 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7296 loss: 0.7296 2022/08/05 15:32:42 - mmengine - INFO - Epoch(train) [235][1860/1879] lr: 1.0000e-04 eta: 4:45:01 time: 0.4503 data_time: 0.0170 memory: 17087 grad_norm: 7.2891 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8070 loss: 0.8070 2022/08/05 15:32:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 15:32:50 - mmengine - INFO - Epoch(train) [235][1879/1879] lr: 1.0000e-04 eta: 4:45:01 time: 0.4369 data_time: 0.0168 memory: 17087 grad_norm: 7.4031 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8381 loss: 0.8381 2022/08/05 15:32:58 - mmengine - INFO - Epoch(val) [235][20/155] eta: 0:00:52 time: 0.3863 data_time: 0.2185 memory: 2821 2022/08/05 15:33:03 - mmengine - INFO - Epoch(val) [235][40/155] eta: 0:00:27 time: 0.2403 data_time: 0.0731 memory: 2821 2022/08/05 15:33:09 - mmengine - INFO - Epoch(val) [235][60/155] eta: 0:00:29 time: 0.3118 data_time: 0.1451 memory: 2821 2022/08/05 15:33:14 - mmengine - INFO - Epoch(val) [235][80/155] eta: 0:00:20 time: 0.2718 data_time: 0.1040 memory: 2821 2022/08/05 15:33:21 - mmengine - INFO - Epoch(val) [235][100/155] eta: 0:00:17 time: 0.3172 data_time: 0.1495 memory: 2821 2022/08/05 15:33:26 - mmengine - INFO - Epoch(val) [235][120/155] eta: 0:00:08 time: 0.2514 data_time: 0.0844 memory: 2821 2022/08/05 15:33:32 - mmengine - INFO - Epoch(val) [235][140/155] eta: 0:00:04 time: 0.3117 data_time: 0.1263 memory: 2821 2022/08/05 15:33:37 - mmengine - INFO - Epoch(val) [235][155/155] acc/top1: 0.6959 acc/top5: 0.8817 acc/mean1: 0.6958 2022/08/05 15:33:49 - mmengine - INFO - Epoch(train) [236][20/1879] lr: 1.0000e-04 eta: 4:44:44 time: 0.5658 data_time: 0.1163 memory: 17087 grad_norm: 7.0649 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9518 loss: 0.9518 2022/08/05 15:33:58 - mmengine - INFO - Epoch(train) [236][40/1879] lr: 1.0000e-04 eta: 4:44:35 time: 0.4650 data_time: 0.0171 memory: 17087 grad_norm: 7.1640 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7228 loss: 0.7228 2022/08/05 15:34:07 - mmengine - INFO - Epoch(train) [236][60/1879] lr: 1.0000e-04 eta: 4:44:27 time: 0.4325 data_time: 0.0128 memory: 17087 grad_norm: 7.0835 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9075 loss: 0.9075 2022/08/05 15:34:16 - mmengine - INFO - Epoch(train) [236][80/1879] lr: 1.0000e-04 eta: 4:44:18 time: 0.4423 data_time: 0.0245 memory: 17087 grad_norm: 7.2173 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7427 loss: 0.7427 2022/08/05 15:34:24 - mmengine - INFO - Epoch(train) [236][100/1879] lr: 1.0000e-04 eta: 4:44:09 time: 0.4319 data_time: 0.0154 memory: 17087 grad_norm: 6.9534 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6400 loss: 0.6400 2022/08/05 15:34:33 - mmengine - INFO - Epoch(train) [236][120/1879] lr: 1.0000e-04 eta: 4:44:01 time: 0.4423 data_time: 0.0194 memory: 17087 grad_norm: 7.1113 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7100 loss: 0.7100 2022/08/05 15:34:42 - mmengine - INFO - Epoch(train) [236][140/1879] lr: 1.0000e-04 eta: 4:43:52 time: 0.4446 data_time: 0.0162 memory: 17087 grad_norm: 7.2216 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9173 loss: 0.9173 2022/08/05 15:34:51 - mmengine - INFO - Epoch(train) [236][160/1879] lr: 1.0000e-04 eta: 4:43:43 time: 0.4488 data_time: 0.0179 memory: 17087 grad_norm: 7.0666 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7144 loss: 0.7144 2022/08/05 15:35:00 - mmengine - INFO - Epoch(train) [236][180/1879] lr: 1.0000e-04 eta: 4:43:35 time: 0.4342 data_time: 0.0151 memory: 17087 grad_norm: 6.7580 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8490 loss: 0.8490 2022/08/05 15:35:09 - mmengine - INFO - Epoch(train) [236][200/1879] lr: 1.0000e-04 eta: 4:43:26 time: 0.4475 data_time: 0.0170 memory: 17087 grad_norm: 7.3919 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9186 loss: 0.9186 2022/08/05 15:35:18 - mmengine - INFO - Epoch(train) [236][220/1879] lr: 1.0000e-04 eta: 4:43:17 time: 0.4330 data_time: 0.0157 memory: 17087 grad_norm: 7.1376 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8183 loss: 0.8183 2022/08/05 15:35:26 - mmengine - INFO - Epoch(train) [236][240/1879] lr: 1.0000e-04 eta: 4:43:09 time: 0.4316 data_time: 0.0161 memory: 17087 grad_norm: 7.1423 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7866 loss: 0.7866 2022/08/05 15:35:35 - mmengine - INFO - Epoch(train) [236][260/1879] lr: 1.0000e-04 eta: 4:43:00 time: 0.4511 data_time: 0.0150 memory: 17087 grad_norm: 6.9040 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8444 loss: 0.8444 2022/08/05 15:35:44 - mmengine - INFO - Epoch(train) [236][280/1879] lr: 1.0000e-04 eta: 4:42:51 time: 0.4364 data_time: 0.0165 memory: 17087 grad_norm: 7.2011 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8987 loss: 0.8987 2022/08/05 15:35:54 - mmengine - INFO - Epoch(train) [236][300/1879] lr: 1.0000e-04 eta: 4:42:43 time: 0.4790 data_time: 0.0190 memory: 17087 grad_norm: 7.3115 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8917 loss: 0.8917 2022/08/05 15:36:02 - mmengine - INFO - Epoch(train) [236][320/1879] lr: 1.0000e-04 eta: 4:42:34 time: 0.4371 data_time: 0.0171 memory: 17087 grad_norm: 7.0970 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7885 loss: 0.7885 2022/08/05 15:36:11 - mmengine - INFO - Epoch(train) [236][340/1879] lr: 1.0000e-04 eta: 4:42:26 time: 0.4368 data_time: 0.0176 memory: 17087 grad_norm: 7.1116 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8063 loss: 0.8063 2022/08/05 15:36:20 - mmengine - INFO - Epoch(train) [236][360/1879] lr: 1.0000e-04 eta: 4:42:17 time: 0.4342 data_time: 0.0165 memory: 17087 grad_norm: 7.1199 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7798 loss: 0.7798 2022/08/05 15:36:29 - mmengine - INFO - Epoch(train) [236][380/1879] lr: 1.0000e-04 eta: 4:42:08 time: 0.4729 data_time: 0.0178 memory: 17087 grad_norm: 7.3726 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7333 loss: 0.7333 2022/08/05 15:36:38 - mmengine - INFO - Epoch(train) [236][400/1879] lr: 1.0000e-04 eta: 4:42:00 time: 0.4329 data_time: 0.0159 memory: 17087 grad_norm: 7.2029 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7999 loss: 0.7999 2022/08/05 15:36:47 - mmengine - INFO - Epoch(train) [236][420/1879] lr: 1.0000e-04 eta: 4:41:51 time: 0.4308 data_time: 0.0151 memory: 17087 grad_norm: 7.0539 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7796 loss: 0.7796 2022/08/05 15:36:54 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 15:36:56 - mmengine - INFO - Epoch(train) [236][440/1879] lr: 1.0000e-04 eta: 4:41:42 time: 0.4849 data_time: 0.0197 memory: 17087 grad_norm: 7.3261 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8442 loss: 0.8442 2022/08/05 15:37:05 - mmengine - INFO - Epoch(train) [236][460/1879] lr: 1.0000e-04 eta: 4:41:34 time: 0.4313 data_time: 0.0152 memory: 17087 grad_norm: 7.6002 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0546 loss: 1.0546 2022/08/05 15:37:14 - mmengine - INFO - Epoch(train) [236][480/1879] lr: 1.0000e-04 eta: 4:41:25 time: 0.4674 data_time: 0.0174 memory: 17087 grad_norm: 7.2268 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8823 loss: 0.8823 2022/08/05 15:37:23 - mmengine - INFO - Epoch(train) [236][500/1879] lr: 1.0000e-04 eta: 4:41:16 time: 0.4326 data_time: 0.0158 memory: 17087 grad_norm: 7.0990 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8543 loss: 0.8543 2022/08/05 15:37:33 - mmengine - INFO - Epoch(train) [236][520/1879] lr: 1.0000e-04 eta: 4:41:08 time: 0.4781 data_time: 0.0188 memory: 17087 grad_norm: 7.0857 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7526 loss: 0.7526 2022/08/05 15:37:41 - mmengine - INFO - Epoch(train) [236][540/1879] lr: 1.0000e-04 eta: 4:40:59 time: 0.4319 data_time: 0.0190 memory: 17087 grad_norm: 7.3355 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9150 loss: 0.9150 2022/08/05 15:37:50 - mmengine - INFO - Epoch(train) [236][560/1879] lr: 1.0000e-04 eta: 4:40:51 time: 0.4406 data_time: 0.0181 memory: 17087 grad_norm: 7.2005 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8042 loss: 0.8042 2022/08/05 15:37:59 - mmengine - INFO - Epoch(train) [236][580/1879] lr: 1.0000e-04 eta: 4:40:42 time: 0.4326 data_time: 0.0158 memory: 17087 grad_norm: 7.2114 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6545 loss: 0.6545 2022/08/05 15:38:08 - mmengine - INFO - Epoch(train) [236][600/1879] lr: 1.0000e-04 eta: 4:40:33 time: 0.4340 data_time: 0.0164 memory: 17087 grad_norm: 7.1860 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7778 loss: 0.7778 2022/08/05 15:38:17 - mmengine - INFO - Epoch(train) [236][620/1879] lr: 1.0000e-04 eta: 4:40:25 time: 0.4716 data_time: 0.0162 memory: 17087 grad_norm: 7.2103 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8964 loss: 0.8964 2022/08/05 15:38:26 - mmengine - INFO - Epoch(train) [236][640/1879] lr: 1.0000e-04 eta: 4:40:16 time: 0.4325 data_time: 0.0162 memory: 17087 grad_norm: 6.9139 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8060 loss: 0.8060 2022/08/05 15:38:35 - mmengine - INFO - Epoch(train) [236][660/1879] lr: 1.0000e-04 eta: 4:40:07 time: 0.4436 data_time: 0.0169 memory: 17087 grad_norm: 6.9394 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7041 loss: 0.7041 2022/08/05 15:38:43 - mmengine - INFO - Epoch(train) [236][680/1879] lr: 1.0000e-04 eta: 4:39:59 time: 0.4319 data_time: 0.0181 memory: 17087 grad_norm: 7.1120 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9872 loss: 0.9872 2022/08/05 15:38:53 - mmengine - INFO - Epoch(train) [236][700/1879] lr: 1.0000e-04 eta: 4:39:50 time: 0.4773 data_time: 0.0181 memory: 17087 grad_norm: 7.3133 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8858 loss: 0.8858 2022/08/05 15:39:02 - mmengine - INFO - Epoch(train) [236][720/1879] lr: 1.0000e-04 eta: 4:39:41 time: 0.4335 data_time: 0.0179 memory: 17087 grad_norm: 6.8331 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7614 loss: 0.7614 2022/08/05 15:39:10 - mmengine - INFO - Epoch(train) [236][740/1879] lr: 1.0000e-04 eta: 4:39:33 time: 0.4408 data_time: 0.0187 memory: 17087 grad_norm: 6.8879 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7545 loss: 0.7545 2022/08/05 15:39:19 - mmengine - INFO - Epoch(train) [236][760/1879] lr: 1.0000e-04 eta: 4:39:24 time: 0.4325 data_time: 0.0168 memory: 17087 grad_norm: 7.1637 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9178 loss: 0.9178 2022/08/05 15:39:28 - mmengine - INFO - Epoch(train) [236][780/1879] lr: 1.0000e-04 eta: 4:39:15 time: 0.4432 data_time: 0.0164 memory: 17087 grad_norm: 7.2015 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7528 loss: 0.7528 2022/08/05 15:39:37 - mmengine - INFO - Epoch(train) [236][800/1879] lr: 1.0000e-04 eta: 4:39:07 time: 0.4330 data_time: 0.0167 memory: 17087 grad_norm: 6.9685 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7266 loss: 0.7266 2022/08/05 15:39:45 - mmengine - INFO - Epoch(train) [236][820/1879] lr: 1.0000e-04 eta: 4:38:58 time: 0.4387 data_time: 0.0150 memory: 17087 grad_norm: 7.1199 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8938 loss: 0.8938 2022/08/05 15:39:54 - mmengine - INFO - Epoch(train) [236][840/1879] lr: 1.0000e-04 eta: 4:38:49 time: 0.4323 data_time: 0.0166 memory: 17087 grad_norm: 7.1781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9676 loss: 0.9676 2022/08/05 15:40:03 - mmengine - INFO - Epoch(train) [236][860/1879] lr: 1.0000e-04 eta: 4:38:41 time: 0.4397 data_time: 0.0158 memory: 17087 grad_norm: 7.3498 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6915 loss: 0.6915 2022/08/05 15:40:12 - mmengine - INFO - Epoch(train) [236][880/1879] lr: 1.0000e-04 eta: 4:38:32 time: 0.4365 data_time: 0.0165 memory: 17087 grad_norm: 6.8135 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6092 loss: 0.6092 2022/08/05 15:40:21 - mmengine - INFO - Epoch(train) [236][900/1879] lr: 1.0000e-04 eta: 4:38:24 time: 0.4647 data_time: 0.0193 memory: 17087 grad_norm: 7.0964 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8600 loss: 0.8600 2022/08/05 15:40:30 - mmengine - INFO - Epoch(train) [236][920/1879] lr: 1.0000e-04 eta: 4:38:15 time: 0.4355 data_time: 0.0167 memory: 17087 grad_norm: 6.8955 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8355 loss: 0.8355 2022/08/05 15:40:39 - mmengine - INFO - Epoch(train) [236][940/1879] lr: 1.0000e-04 eta: 4:38:06 time: 0.4889 data_time: 0.0226 memory: 17087 grad_norm: 7.1214 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8102 loss: 0.8102 2022/08/05 15:40:48 - mmengine - INFO - Epoch(train) [236][960/1879] lr: 1.0000e-04 eta: 4:37:58 time: 0.4303 data_time: 0.0152 memory: 17087 grad_norm: 7.2950 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8479 loss: 0.8479 2022/08/05 15:40:57 - mmengine - INFO - Epoch(train) [236][980/1879] lr: 1.0000e-04 eta: 4:37:49 time: 0.4361 data_time: 0.0221 memory: 17087 grad_norm: 7.0243 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6767 loss: 0.6767 2022/08/05 15:41:06 - mmengine - INFO - Epoch(train) [236][1000/1879] lr: 1.0000e-04 eta: 4:37:40 time: 0.4560 data_time: 0.0175 memory: 17087 grad_norm: 7.4267 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7530 loss: 0.7530 2022/08/05 15:41:15 - mmengine - INFO - Epoch(train) [236][1020/1879] lr: 1.0000e-04 eta: 4:37:32 time: 0.4301 data_time: 0.0165 memory: 17087 grad_norm: 7.0587 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8233 loss: 0.8233 2022/08/05 15:41:24 - mmengine - INFO - Epoch(train) [236][1040/1879] lr: 1.0000e-04 eta: 4:37:23 time: 0.4850 data_time: 0.0240 memory: 17087 grad_norm: 7.0267 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8712 loss: 0.8712 2022/08/05 15:41:33 - mmengine - INFO - Epoch(train) [236][1060/1879] lr: 1.0000e-04 eta: 4:37:14 time: 0.4319 data_time: 0.0167 memory: 17087 grad_norm: 7.3513 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9792 loss: 0.9792 2022/08/05 15:41:43 - mmengine - INFO - Epoch(train) [236][1080/1879] lr: 1.0000e-04 eta: 4:37:06 time: 0.4746 data_time: 0.0234 memory: 17087 grad_norm: 7.0602 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7842 loss: 0.7842 2022/08/05 15:41:51 - mmengine - INFO - Epoch(train) [236][1100/1879] lr: 1.0000e-04 eta: 4:36:57 time: 0.4313 data_time: 0.0181 memory: 17087 grad_norm: 6.9396 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5991 loss: 0.5991 2022/08/05 15:42:00 - mmengine - INFO - Epoch(train) [236][1120/1879] lr: 1.0000e-04 eta: 4:36:49 time: 0.4574 data_time: 0.0223 memory: 17087 grad_norm: 7.2459 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7797 loss: 0.7797 2022/08/05 15:42:09 - mmengine - INFO - Epoch(train) [236][1140/1879] lr: 1.0000e-04 eta: 4:36:40 time: 0.4300 data_time: 0.0154 memory: 17087 grad_norm: 7.1239 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7571 loss: 0.7571 2022/08/05 15:42:18 - mmengine - INFO - Epoch(train) [236][1160/1879] lr: 1.0000e-04 eta: 4:36:31 time: 0.4374 data_time: 0.0217 memory: 17087 grad_norm: 6.9403 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9286 loss: 0.9286 2022/08/05 15:42:27 - mmengine - INFO - Epoch(train) [236][1180/1879] lr: 1.0000e-04 eta: 4:36:23 time: 0.4552 data_time: 0.0156 memory: 17087 grad_norm: 7.2676 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7406 loss: 0.7406 2022/08/05 15:42:36 - mmengine - INFO - Epoch(train) [236][1200/1879] lr: 1.0000e-04 eta: 4:36:14 time: 0.4333 data_time: 0.0178 memory: 17087 grad_norm: 7.1203 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8552 loss: 0.8552 2022/08/05 15:42:45 - mmengine - INFO - Epoch(train) [236][1220/1879] lr: 1.0000e-04 eta: 4:36:05 time: 0.4771 data_time: 0.0166 memory: 17087 grad_norm: 7.1061 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8046 loss: 0.8046 2022/08/05 15:42:54 - mmengine - INFO - Epoch(train) [236][1240/1879] lr: 1.0000e-04 eta: 4:35:57 time: 0.4339 data_time: 0.0181 memory: 17087 grad_norm: 7.2879 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6745 loss: 0.6745 2022/08/05 15:43:03 - mmengine - INFO - Epoch(train) [236][1260/1879] lr: 1.0000e-04 eta: 4:35:48 time: 0.4504 data_time: 0.0183 memory: 17087 grad_norm: 7.1625 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9152 loss: 0.9152 2022/08/05 15:43:11 - mmengine - INFO - Epoch(train) [236][1280/1879] lr: 1.0000e-04 eta: 4:35:39 time: 0.4316 data_time: 0.0162 memory: 17087 grad_norm: 7.0262 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9082 loss: 0.9082 2022/08/05 15:43:20 - mmengine - INFO - Epoch(train) [236][1300/1879] lr: 1.0000e-04 eta: 4:35:31 time: 0.4438 data_time: 0.0183 memory: 17087 grad_norm: 7.0975 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7576 loss: 0.7576 2022/08/05 15:43:29 - mmengine - INFO - Epoch(train) [236][1320/1879] lr: 1.0000e-04 eta: 4:35:22 time: 0.4318 data_time: 0.0157 memory: 17087 grad_norm: 7.2844 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7455 loss: 0.7455 2022/08/05 15:43:38 - mmengine - INFO - Epoch(train) [236][1340/1879] lr: 1.0000e-04 eta: 4:35:13 time: 0.4320 data_time: 0.0164 memory: 17087 grad_norm: 7.2466 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7359 loss: 0.7359 2022/08/05 15:43:47 - mmengine - INFO - Epoch(train) [236][1360/1879] lr: 1.0000e-04 eta: 4:35:05 time: 0.4516 data_time: 0.0184 memory: 17087 grad_norm: 7.2241 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 1.0230 loss: 1.0230 2022/08/05 15:43:55 - mmengine - INFO - Epoch(train) [236][1380/1879] lr: 1.0000e-04 eta: 4:34:56 time: 0.4305 data_time: 0.0175 memory: 17087 grad_norm: 7.3750 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8134 loss: 0.8134 2022/08/05 15:44:04 - mmengine - INFO - Epoch(train) [236][1400/1879] lr: 1.0000e-04 eta: 4:34:47 time: 0.4381 data_time: 0.0187 memory: 17087 grad_norm: 7.0551 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8774 loss: 0.8774 2022/08/05 15:44:13 - mmengine - INFO - Epoch(train) [236][1420/1879] lr: 1.0000e-04 eta: 4:34:39 time: 0.4312 data_time: 0.0158 memory: 17087 grad_norm: 7.1072 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8629 loss: 0.8629 2022/08/05 15:44:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 15:44:22 - mmengine - INFO - Epoch(train) [236][1440/1879] lr: 1.0000e-04 eta: 4:34:30 time: 0.4394 data_time: 0.0180 memory: 17087 grad_norm: 7.1353 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7995 loss: 0.7995 2022/08/05 15:44:30 - mmengine - INFO - Epoch(train) [236][1460/1879] lr: 1.0000e-04 eta: 4:34:21 time: 0.4280 data_time: 0.0136 memory: 17087 grad_norm: 6.9113 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8324 loss: 0.8324 2022/08/05 15:44:39 - mmengine - INFO - Epoch(train) [236][1480/1879] lr: 1.0000e-04 eta: 4:34:13 time: 0.4362 data_time: 0.0169 memory: 17087 grad_norm: 7.0860 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8688 loss: 0.8688 2022/08/05 15:44:48 - mmengine - INFO - Epoch(train) [236][1500/1879] lr: 1.0000e-04 eta: 4:34:04 time: 0.4296 data_time: 0.0148 memory: 17087 grad_norm: 7.2417 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7742 loss: 0.7742 2022/08/05 15:44:56 - mmengine - INFO - Epoch(train) [236][1520/1879] lr: 1.0000e-04 eta: 4:33:55 time: 0.4320 data_time: 0.0166 memory: 17087 grad_norm: 7.2093 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7201 loss: 0.7201 2022/08/05 15:45:05 - mmengine - INFO - Epoch(train) [236][1540/1879] lr: 1.0000e-04 eta: 4:33:47 time: 0.4509 data_time: 0.0160 memory: 17087 grad_norm: 7.1893 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8250 loss: 0.8250 2022/08/05 15:45:14 - mmengine - INFO - Epoch(train) [236][1560/1879] lr: 1.0000e-04 eta: 4:33:38 time: 0.4371 data_time: 0.0165 memory: 17087 grad_norm: 6.8487 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8123 loss: 0.8123 2022/08/05 15:45:23 - mmengine - INFO - Epoch(train) [236][1580/1879] lr: 1.0000e-04 eta: 4:33:30 time: 0.4406 data_time: 0.0153 memory: 17087 grad_norm: 7.1376 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8898 loss: 0.8898 2022/08/05 15:45:32 - mmengine - INFO - Epoch(train) [236][1600/1879] lr: 1.0000e-04 eta: 4:33:21 time: 0.4325 data_time: 0.0190 memory: 17087 grad_norm: 7.3147 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7137 loss: 0.7137 2022/08/05 15:45:40 - mmengine - INFO - Epoch(train) [236][1620/1879] lr: 1.0000e-04 eta: 4:33:12 time: 0.4354 data_time: 0.0156 memory: 17087 grad_norm: 7.1851 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7885 loss: 0.7885 2022/08/05 15:45:49 - mmengine - INFO - Epoch(train) [236][1640/1879] lr: 1.0000e-04 eta: 4:33:04 time: 0.4346 data_time: 0.0185 memory: 17087 grad_norm: 6.9366 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6040 loss: 0.6040 2022/08/05 15:45:58 - mmengine - INFO - Epoch(train) [236][1660/1879] lr: 1.0000e-04 eta: 4:32:55 time: 0.4302 data_time: 0.0155 memory: 17087 grad_norm: 7.1087 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8544 loss: 0.8544 2022/08/05 15:46:06 - mmengine - INFO - Epoch(train) [236][1680/1879] lr: 1.0000e-04 eta: 4:32:46 time: 0.4311 data_time: 0.0161 memory: 17087 grad_norm: 7.1044 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9176 loss: 0.9176 2022/08/05 15:46:16 - mmengine - INFO - Epoch(train) [236][1700/1879] lr: 1.0000e-04 eta: 4:32:38 time: 0.4604 data_time: 0.0166 memory: 17087 grad_norm: 7.5007 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8420 loss: 0.8420 2022/08/05 15:46:24 - mmengine - INFO - Epoch(train) [236][1720/1879] lr: 1.0000e-04 eta: 4:32:29 time: 0.4349 data_time: 0.0170 memory: 17087 grad_norm: 7.5214 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9326 loss: 0.9326 2022/08/05 15:46:33 - mmengine - INFO - Epoch(train) [236][1740/1879] lr: 1.0000e-04 eta: 4:32:20 time: 0.4519 data_time: 0.0153 memory: 17087 grad_norm: 7.1882 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8760 loss: 0.8760 2022/08/05 15:46:42 - mmengine - INFO - Epoch(train) [236][1760/1879] lr: 1.0000e-04 eta: 4:32:12 time: 0.4430 data_time: 0.0172 memory: 17087 grad_norm: 7.2057 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7718 loss: 0.7718 2022/08/05 15:46:51 - mmengine - INFO - Epoch(train) [236][1780/1879] lr: 1.0000e-04 eta: 4:32:03 time: 0.4288 data_time: 0.0144 memory: 17087 grad_norm: 7.1236 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7062 loss: 0.7062 2022/08/05 15:47:00 - mmengine - INFO - Epoch(train) [236][1800/1879] lr: 1.0000e-04 eta: 4:31:54 time: 0.4644 data_time: 0.0172 memory: 17087 grad_norm: 7.0270 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7639 loss: 0.7639 2022/08/05 15:47:09 - mmengine - INFO - Epoch(train) [236][1820/1879] lr: 1.0000e-04 eta: 4:31:46 time: 0.4301 data_time: 0.0145 memory: 17087 grad_norm: 7.7754 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9500 loss: 0.9500 2022/08/05 15:47:17 - mmengine - INFO - Epoch(train) [236][1840/1879] lr: 1.0000e-04 eta: 4:31:37 time: 0.4321 data_time: 0.0163 memory: 17087 grad_norm: 6.9475 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6818 loss: 0.6818 2022/08/05 15:47:26 - mmengine - INFO - Epoch(train) [236][1860/1879] lr: 1.0000e-04 eta: 4:31:28 time: 0.4389 data_time: 0.0165 memory: 17087 grad_norm: 6.8298 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8010 loss: 0.8010 2022/08/05 15:47:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 15:47:34 - mmengine - INFO - Epoch(train) [236][1879/1879] lr: 1.0000e-04 eta: 4:31:28 time: 0.4140 data_time: 0.0166 memory: 17087 grad_norm: 7.1178 top1_acc: 0.5714 top5_acc: 0.5714 loss_cls: 0.8390 loss: 0.8390 2022/08/05 15:47:34 - mmengine - INFO - Saving checkpoint at 236 epochs 2022/08/05 15:47:49 - mmengine - INFO - Epoch(train) [237][20/1879] lr: 1.0000e-04 eta: 4:31:11 time: 0.5165 data_time: 0.0983 memory: 17087 grad_norm: 7.1058 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8985 loss: 0.8985 2022/08/05 15:47:58 - mmengine - INFO - Epoch(train) [237][40/1879] lr: 1.0000e-04 eta: 4:31:02 time: 0.4718 data_time: 0.0349 memory: 17087 grad_norm: 6.9294 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7803 loss: 0.7803 2022/08/05 15:48:07 - mmengine - INFO - Epoch(train) [237][60/1879] lr: 1.0000e-04 eta: 4:30:54 time: 0.4537 data_time: 0.0162 memory: 17087 grad_norm: 7.1985 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8639 loss: 0.8639 2022/08/05 15:48:16 - mmengine - INFO - Epoch(train) [237][80/1879] lr: 1.0000e-04 eta: 4:30:45 time: 0.4362 data_time: 0.0162 memory: 17087 grad_norm: 6.9469 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7957 loss: 0.7957 2022/08/05 15:48:25 - mmengine - INFO - Epoch(train) [237][100/1879] lr: 1.0000e-04 eta: 4:30:36 time: 0.4404 data_time: 0.0169 memory: 17087 grad_norm: 7.2379 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7970 loss: 0.7970 2022/08/05 15:48:33 - mmengine - INFO - Epoch(train) [237][120/1879] lr: 1.0000e-04 eta: 4:30:28 time: 0.4335 data_time: 0.0175 memory: 17087 grad_norm: 7.0720 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7023 loss: 0.7023 2022/08/05 15:48:42 - mmengine - INFO - Epoch(train) [237][140/1879] lr: 1.0000e-04 eta: 4:30:19 time: 0.4365 data_time: 0.0163 memory: 17087 grad_norm: 7.2030 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7737 loss: 0.7737 2022/08/05 15:48:51 - mmengine - INFO - Epoch(train) [237][160/1879] lr: 1.0000e-04 eta: 4:30:10 time: 0.4336 data_time: 0.0186 memory: 17087 grad_norm: 7.0237 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7734 loss: 0.7734 2022/08/05 15:48:59 - mmengine - INFO - Epoch(train) [237][180/1879] lr: 1.0000e-04 eta: 4:30:02 time: 0.4371 data_time: 0.0180 memory: 17087 grad_norm: 7.2846 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8947 loss: 0.8947 2022/08/05 15:49:08 - mmengine - INFO - Epoch(train) [237][200/1879] lr: 1.0000e-04 eta: 4:29:53 time: 0.4327 data_time: 0.0165 memory: 17087 grad_norm: 7.1444 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6806 loss: 0.6806 2022/08/05 15:49:17 - mmengine - INFO - Epoch(train) [237][220/1879] lr: 1.0000e-04 eta: 4:29:44 time: 0.4303 data_time: 0.0147 memory: 17087 grad_norm: 7.2260 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7434 loss: 0.7434 2022/08/05 15:49:25 - mmengine - INFO - Epoch(train) [237][240/1879] lr: 1.0000e-04 eta: 4:29:36 time: 0.4344 data_time: 0.0161 memory: 17087 grad_norm: 7.2797 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9007 loss: 0.9007 2022/08/05 15:49:34 - mmengine - INFO - Epoch(train) [237][260/1879] lr: 1.0000e-04 eta: 4:29:27 time: 0.4366 data_time: 0.0170 memory: 17087 grad_norm: 7.3295 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8197 loss: 0.8197 2022/08/05 15:49:43 - mmengine - INFO - Epoch(train) [237][280/1879] lr: 1.0000e-04 eta: 4:29:18 time: 0.4326 data_time: 0.0172 memory: 17087 grad_norm: 7.1605 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8738 loss: 0.8738 2022/08/05 15:49:52 - mmengine - INFO - Epoch(train) [237][300/1879] lr: 1.0000e-04 eta: 4:29:10 time: 0.4546 data_time: 0.0221 memory: 17087 grad_norm: 7.3101 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9017 loss: 0.9017 2022/08/05 15:50:01 - mmengine - INFO - Epoch(train) [237][320/1879] lr: 1.0000e-04 eta: 4:29:01 time: 0.4360 data_time: 0.0178 memory: 17087 grad_norm: 7.0923 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7656 loss: 0.7656 2022/08/05 15:50:10 - mmengine - INFO - Epoch(train) [237][340/1879] lr: 1.0000e-04 eta: 4:28:52 time: 0.4376 data_time: 0.0162 memory: 17087 grad_norm: 7.0761 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7997 loss: 0.7997 2022/08/05 15:50:18 - mmengine - INFO - Epoch(train) [237][360/1879] lr: 1.0000e-04 eta: 4:28:44 time: 0.4310 data_time: 0.0154 memory: 17087 grad_norm: 7.2483 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8091 loss: 0.8091 2022/08/05 15:50:27 - mmengine - INFO - Epoch(train) [237][380/1879] lr: 1.0000e-04 eta: 4:28:35 time: 0.4355 data_time: 0.0149 memory: 17087 grad_norm: 7.1234 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8060 loss: 0.8060 2022/08/05 15:50:36 - mmengine - INFO - Epoch(train) [237][400/1879] lr: 1.0000e-04 eta: 4:28:27 time: 0.4345 data_time: 0.0180 memory: 17087 grad_norm: 7.1366 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8873 loss: 0.8873 2022/08/05 15:50:44 - mmengine - INFO - Epoch(train) [237][420/1879] lr: 1.0000e-04 eta: 4:28:18 time: 0.4357 data_time: 0.0145 memory: 17087 grad_norm: 7.2393 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8447 loss: 0.8447 2022/08/05 15:50:53 - mmengine - INFO - Epoch(train) [237][440/1879] lr: 1.0000e-04 eta: 4:28:09 time: 0.4337 data_time: 0.0174 memory: 17087 grad_norm: 7.2614 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9566 loss: 0.9566 2022/08/05 15:51:02 - mmengine - INFO - Epoch(train) [237][460/1879] lr: 1.0000e-04 eta: 4:28:01 time: 0.4333 data_time: 0.0141 memory: 17087 grad_norm: 7.1969 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7656 loss: 0.7656 2022/08/05 15:51:10 - mmengine - INFO - Epoch(train) [237][480/1879] lr: 1.0000e-04 eta: 4:27:52 time: 0.4371 data_time: 0.0194 memory: 17087 grad_norm: 7.0885 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7899 loss: 0.7899 2022/08/05 15:51:19 - mmengine - INFO - Epoch(train) [237][500/1879] lr: 1.0000e-04 eta: 4:27:43 time: 0.4297 data_time: 0.0151 memory: 17087 grad_norm: 7.1005 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8259 loss: 0.8259 2022/08/05 15:51:28 - mmengine - INFO - Epoch(train) [237][520/1879] lr: 1.0000e-04 eta: 4:27:35 time: 0.4331 data_time: 0.0171 memory: 17087 grad_norm: 6.9878 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9869 loss: 0.9869 2022/08/05 15:51:36 - mmengine - INFO - Epoch(train) [237][540/1879] lr: 1.0000e-04 eta: 4:27:26 time: 0.4326 data_time: 0.0180 memory: 17087 grad_norm: 7.4699 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9365 loss: 0.9365 2022/08/05 15:51:43 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 15:51:45 - mmengine - INFO - Epoch(train) [237][560/1879] lr: 1.0000e-04 eta: 4:27:17 time: 0.4336 data_time: 0.0161 memory: 17087 grad_norm: 7.2072 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8601 loss: 0.8601 2022/08/05 15:51:54 - mmengine - INFO - Epoch(train) [237][580/1879] lr: 1.0000e-04 eta: 4:27:09 time: 0.4505 data_time: 0.0152 memory: 17087 grad_norm: 7.2770 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7658 loss: 0.7658 2022/08/05 15:52:03 - mmengine - INFO - Epoch(train) [237][600/1879] lr: 1.0000e-04 eta: 4:27:00 time: 0.4350 data_time: 0.0162 memory: 17087 grad_norm: 7.2725 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9992 loss: 0.9992 2022/08/05 15:52:12 - mmengine - INFO - Epoch(train) [237][620/1879] lr: 1.0000e-04 eta: 4:26:51 time: 0.4619 data_time: 0.0194 memory: 17087 grad_norm: 6.9741 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8484 loss: 0.8484 2022/08/05 15:52:21 - mmengine - INFO - Epoch(train) [237][640/1879] lr: 1.0000e-04 eta: 4:26:43 time: 0.4447 data_time: 0.0165 memory: 17087 grad_norm: 6.9643 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7167 loss: 0.7167 2022/08/05 15:52:30 - mmengine - INFO - Epoch(train) [237][660/1879] lr: 1.0000e-04 eta: 4:26:34 time: 0.4589 data_time: 0.0202 memory: 17087 grad_norm: 6.7749 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7377 loss: 0.7377 2022/08/05 15:52:39 - mmengine - INFO - Epoch(train) [237][680/1879] lr: 1.0000e-04 eta: 4:26:25 time: 0.4305 data_time: 0.0158 memory: 17087 grad_norm: 6.9071 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8224 loss: 0.8224 2022/08/05 15:52:48 - mmengine - INFO - Epoch(train) [237][700/1879] lr: 1.0000e-04 eta: 4:26:17 time: 0.4373 data_time: 0.0191 memory: 17087 grad_norm: 7.0706 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8063 loss: 0.8063 2022/08/05 15:52:56 - mmengine - INFO - Epoch(train) [237][720/1879] lr: 1.0000e-04 eta: 4:26:08 time: 0.4393 data_time: 0.0179 memory: 17087 grad_norm: 7.5056 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8865 loss: 0.8865 2022/08/05 15:53:05 - mmengine - INFO - Epoch(train) [237][740/1879] lr: 1.0000e-04 eta: 4:25:59 time: 0.4322 data_time: 0.0153 memory: 17087 grad_norm: 7.0306 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6810 loss: 0.6810 2022/08/05 15:53:14 - mmengine - INFO - Epoch(train) [237][760/1879] lr: 1.0000e-04 eta: 4:25:51 time: 0.4343 data_time: 0.0182 memory: 17087 grad_norm: 7.1304 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8269 loss: 0.8269 2022/08/05 15:53:23 - mmengine - INFO - Epoch(train) [237][780/1879] lr: 1.0000e-04 eta: 4:25:42 time: 0.4341 data_time: 0.0153 memory: 17087 grad_norm: 7.4789 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7219 loss: 0.7219 2022/08/05 15:53:31 - mmengine - INFO - Epoch(train) [237][800/1879] lr: 1.0000e-04 eta: 4:25:33 time: 0.4346 data_time: 0.0181 memory: 17087 grad_norm: 7.3111 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9928 loss: 0.9928 2022/08/05 15:53:40 - mmengine - INFO - Epoch(train) [237][820/1879] lr: 1.0000e-04 eta: 4:25:25 time: 0.4451 data_time: 0.0164 memory: 17087 grad_norm: 7.4034 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6902 loss: 0.6902 2022/08/05 15:53:49 - mmengine - INFO - Epoch(train) [237][840/1879] lr: 1.0000e-04 eta: 4:25:16 time: 0.4316 data_time: 0.0181 memory: 17087 grad_norm: 6.9927 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7608 loss: 0.7608 2022/08/05 15:53:58 - mmengine - INFO - Epoch(train) [237][860/1879] lr: 1.0000e-04 eta: 4:25:07 time: 0.4317 data_time: 0.0152 memory: 17087 grad_norm: 7.2013 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8032 loss: 0.8032 2022/08/05 15:54:06 - mmengine - INFO - Epoch(train) [237][880/1879] lr: 1.0000e-04 eta: 4:24:59 time: 0.4440 data_time: 0.0176 memory: 17087 grad_norm: 7.1796 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7733 loss: 0.7733 2022/08/05 15:54:15 - mmengine - INFO - Epoch(train) [237][900/1879] lr: 1.0000e-04 eta: 4:24:50 time: 0.4425 data_time: 0.0170 memory: 17087 grad_norm: 7.3385 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7669 loss: 0.7669 2022/08/05 15:54:24 - mmengine - INFO - Epoch(train) [237][920/1879] lr: 1.0000e-04 eta: 4:24:41 time: 0.4322 data_time: 0.0157 memory: 17087 grad_norm: 7.2710 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7658 loss: 0.7658 2022/08/05 15:54:33 - mmengine - INFO - Epoch(train) [237][940/1879] lr: 1.0000e-04 eta: 4:24:33 time: 0.4387 data_time: 0.0194 memory: 17087 grad_norm: 7.4059 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8401 loss: 0.8401 2022/08/05 15:54:41 - mmengine - INFO - Epoch(train) [237][960/1879] lr: 1.0000e-04 eta: 4:24:24 time: 0.4306 data_time: 0.0167 memory: 17087 grad_norm: 6.9768 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9481 loss: 0.9481 2022/08/05 15:54:51 - mmengine - INFO - Epoch(train) [237][980/1879] lr: 1.0000e-04 eta: 4:24:15 time: 0.4560 data_time: 0.0173 memory: 17087 grad_norm: 7.2348 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7427 loss: 0.7427 2022/08/05 15:54:59 - mmengine - INFO - Epoch(train) [237][1000/1879] lr: 1.0000e-04 eta: 4:24:07 time: 0.4321 data_time: 0.0156 memory: 17087 grad_norm: 7.1079 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9055 loss: 0.9055 2022/08/05 15:55:08 - mmengine - INFO - Epoch(train) [237][1020/1879] lr: 1.0000e-04 eta: 4:23:58 time: 0.4327 data_time: 0.0164 memory: 17087 grad_norm: 7.2304 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6812 loss: 0.6812 2022/08/05 15:55:17 - mmengine - INFO - Epoch(train) [237][1040/1879] lr: 1.0000e-04 eta: 4:23:50 time: 0.4538 data_time: 0.0181 memory: 17087 grad_norm: 6.9445 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7782 loss: 0.7782 2022/08/05 15:55:26 - mmengine - INFO - Epoch(train) [237][1060/1879] lr: 1.0000e-04 eta: 4:23:41 time: 0.4436 data_time: 0.0143 memory: 17087 grad_norm: 7.1414 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6982 loss: 0.6982 2022/08/05 15:55:35 - mmengine - INFO - Epoch(train) [237][1080/1879] lr: 1.0000e-04 eta: 4:23:32 time: 0.4594 data_time: 0.0186 memory: 17087 grad_norm: 7.0523 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7905 loss: 0.7905 2022/08/05 15:55:44 - mmengine - INFO - Epoch(train) [237][1100/1879] lr: 1.0000e-04 eta: 4:23:24 time: 0.4353 data_time: 0.0151 memory: 17087 grad_norm: 7.3100 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8445 loss: 0.8445 2022/08/05 15:55:53 - mmengine - INFO - Epoch(train) [237][1120/1879] lr: 1.0000e-04 eta: 4:23:15 time: 0.4636 data_time: 0.0178 memory: 17087 grad_norm: 7.3582 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8778 loss: 0.8778 2022/08/05 15:56:02 - mmengine - INFO - Epoch(train) [237][1140/1879] lr: 1.0000e-04 eta: 4:23:06 time: 0.4310 data_time: 0.0154 memory: 17087 grad_norm: 7.3596 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8562 loss: 0.8562 2022/08/05 15:56:11 - mmengine - INFO - Epoch(train) [237][1160/1879] lr: 1.0000e-04 eta: 4:22:58 time: 0.4734 data_time: 0.0229 memory: 17087 grad_norm: 7.1715 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7095 loss: 0.7095 2022/08/05 15:56:20 - mmengine - INFO - Epoch(train) [237][1180/1879] lr: 1.0000e-04 eta: 4:22:49 time: 0.4343 data_time: 0.0150 memory: 17087 grad_norm: 7.2187 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9268 loss: 0.9268 2022/08/05 15:56:29 - mmengine - INFO - Epoch(train) [237][1200/1879] lr: 1.0000e-04 eta: 4:22:40 time: 0.4334 data_time: 0.0203 memory: 17087 grad_norm: 6.9733 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9342 loss: 0.9342 2022/08/05 15:56:38 - mmengine - INFO - Epoch(train) [237][1220/1879] lr: 1.0000e-04 eta: 4:22:32 time: 0.4712 data_time: 0.0169 memory: 17087 grad_norm: 7.1895 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7205 loss: 0.7205 2022/08/05 15:56:47 - mmengine - INFO - Epoch(train) [237][1240/1879] lr: 1.0000e-04 eta: 4:22:23 time: 0.4321 data_time: 0.0170 memory: 17087 grad_norm: 7.2261 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7429 loss: 0.7429 2022/08/05 15:56:56 - mmengine - INFO - Epoch(train) [237][1260/1879] lr: 1.0000e-04 eta: 4:22:15 time: 0.4712 data_time: 0.0230 memory: 17087 grad_norm: 7.1635 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6945 loss: 0.6945 2022/08/05 15:57:05 - mmengine - INFO - Epoch(train) [237][1280/1879] lr: 1.0000e-04 eta: 4:22:06 time: 0.4330 data_time: 0.0162 memory: 17087 grad_norm: 6.9951 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9230 loss: 0.9230 2022/08/05 15:57:14 - mmengine - INFO - Epoch(train) [237][1300/1879] lr: 1.0000e-04 eta: 4:21:57 time: 0.4746 data_time: 0.0231 memory: 17087 grad_norm: 7.2915 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7430 loss: 0.7430 2022/08/05 15:57:23 - mmengine - INFO - Epoch(train) [237][1320/1879] lr: 1.0000e-04 eta: 4:21:49 time: 0.4321 data_time: 0.0161 memory: 17087 grad_norm: 6.8742 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7653 loss: 0.7653 2022/08/05 15:57:32 - mmengine - INFO - Epoch(train) [237][1340/1879] lr: 1.0000e-04 eta: 4:21:40 time: 0.4453 data_time: 0.0221 memory: 17087 grad_norm: 7.2159 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9755 loss: 0.9755 2022/08/05 15:57:41 - mmengine - INFO - Epoch(train) [237][1360/1879] lr: 1.0000e-04 eta: 4:21:31 time: 0.4315 data_time: 0.0161 memory: 17087 grad_norm: 7.4899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8084 loss: 0.8084 2022/08/05 15:57:49 - mmengine - INFO - Epoch(train) [237][1380/1879] lr: 1.0000e-04 eta: 4:21:23 time: 0.4307 data_time: 0.0172 memory: 17087 grad_norm: 7.4958 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9748 loss: 0.9748 2022/08/05 15:57:58 - mmengine - INFO - Epoch(train) [237][1400/1879] lr: 1.0000e-04 eta: 4:21:14 time: 0.4360 data_time: 0.0171 memory: 17087 grad_norm: 7.2179 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7962 loss: 0.7962 2022/08/05 15:58:07 - mmengine - INFO - Epoch(train) [237][1420/1879] lr: 1.0000e-04 eta: 4:21:05 time: 0.4309 data_time: 0.0160 memory: 17087 grad_norm: 7.1933 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8376 loss: 0.8376 2022/08/05 15:58:16 - mmengine - INFO - Epoch(train) [237][1440/1879] lr: 1.0000e-04 eta: 4:20:57 time: 0.4483 data_time: 0.0185 memory: 17087 grad_norm: 7.0813 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7837 loss: 0.7837 2022/08/05 15:58:24 - mmengine - INFO - Epoch(train) [237][1460/1879] lr: 1.0000e-04 eta: 4:20:48 time: 0.4350 data_time: 0.0157 memory: 17087 grad_norm: 7.2278 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9096 loss: 0.9096 2022/08/05 15:58:34 - mmengine - INFO - Epoch(train) [237][1480/1879] lr: 1.0000e-04 eta: 4:20:39 time: 0.4561 data_time: 0.0170 memory: 17087 grad_norm: 6.9857 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6716 loss: 0.6716 2022/08/05 15:58:42 - mmengine - INFO - Epoch(train) [237][1500/1879] lr: 1.0000e-04 eta: 4:20:31 time: 0.4339 data_time: 0.0173 memory: 17087 grad_norm: 7.1592 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9193 loss: 0.9193 2022/08/05 15:58:52 - mmengine - INFO - Epoch(train) [237][1520/1879] lr: 1.0000e-04 eta: 4:20:22 time: 0.4758 data_time: 0.0229 memory: 17087 grad_norm: 6.9767 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8918 loss: 0.8918 2022/08/05 15:59:00 - mmengine - INFO - Epoch(train) [237][1540/1879] lr: 1.0000e-04 eta: 4:20:13 time: 0.4290 data_time: 0.0145 memory: 17087 grad_norm: 7.3788 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9351 loss: 0.9351 2022/08/05 15:59:07 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 15:59:09 - mmengine - INFO - Epoch(train) [237][1560/1879] lr: 1.0000e-04 eta: 4:20:05 time: 0.4347 data_time: 0.0219 memory: 17087 grad_norm: 7.3342 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8776 loss: 0.8776 2022/08/05 15:59:18 - mmengine - INFO - Epoch(train) [237][1580/1879] lr: 1.0000e-04 eta: 4:19:56 time: 0.4611 data_time: 0.0154 memory: 17087 grad_norm: 7.4780 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9113 loss: 0.9113 2022/08/05 15:59:27 - mmengine - INFO - Epoch(train) [237][1600/1879] lr: 1.0000e-04 eta: 4:19:47 time: 0.4319 data_time: 0.0160 memory: 17087 grad_norm: 7.2395 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8532 loss: 0.8532 2022/08/05 15:59:36 - mmengine - INFO - Epoch(train) [237][1620/1879] lr: 1.0000e-04 eta: 4:19:39 time: 0.4586 data_time: 0.0226 memory: 17087 grad_norm: 7.0808 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8362 loss: 0.8362 2022/08/05 15:59:45 - mmengine - INFO - Epoch(train) [237][1640/1879] lr: 1.0000e-04 eta: 4:19:30 time: 0.4372 data_time: 0.0175 memory: 17087 grad_norm: 7.0595 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8593 loss: 0.8593 2022/08/05 15:59:54 - mmengine - INFO - Epoch(train) [237][1660/1879] lr: 1.0000e-04 eta: 4:19:22 time: 0.4490 data_time: 0.0175 memory: 17087 grad_norm: 7.1430 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7859 loss: 0.7859 2022/08/05 16:00:03 - mmengine - INFO - Epoch(train) [237][1680/1879] lr: 1.0000e-04 eta: 4:19:13 time: 0.4426 data_time: 0.0162 memory: 17087 grad_norm: 7.0187 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7394 loss: 0.7394 2022/08/05 16:00:12 - mmengine - INFO - Epoch(train) [237][1700/1879] lr: 1.0000e-04 eta: 4:19:04 time: 0.4488 data_time: 0.0163 memory: 17087 grad_norm: 7.1404 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7178 loss: 0.7178 2022/08/05 16:00:21 - mmengine - INFO - Epoch(train) [237][1720/1879] lr: 1.0000e-04 eta: 4:18:56 time: 0.4407 data_time: 0.0215 memory: 17087 grad_norm: 7.0199 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7297 loss: 0.7297 2022/08/05 16:00:29 - mmengine - INFO - Epoch(train) [237][1740/1879] lr: 1.0000e-04 eta: 4:18:47 time: 0.4325 data_time: 0.0176 memory: 17087 grad_norm: 7.2679 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7682 loss: 0.7682 2022/08/05 16:00:38 - mmengine - INFO - Epoch(train) [237][1760/1879] lr: 1.0000e-04 eta: 4:18:38 time: 0.4408 data_time: 0.0172 memory: 17087 grad_norm: 7.1812 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8252 loss: 0.8252 2022/08/05 16:00:47 - mmengine - INFO - Epoch(train) [237][1780/1879] lr: 1.0000e-04 eta: 4:18:30 time: 0.4298 data_time: 0.0156 memory: 17087 grad_norm: 7.0892 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8264 loss: 0.8264 2022/08/05 16:00:56 - mmengine - INFO - Epoch(train) [237][1800/1879] lr: 1.0000e-04 eta: 4:18:21 time: 0.4585 data_time: 0.0168 memory: 17087 grad_norm: 7.4221 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7722 loss: 0.7722 2022/08/05 16:01:05 - mmengine - INFO - Epoch(train) [237][1820/1879] lr: 1.0000e-04 eta: 4:18:12 time: 0.4305 data_time: 0.0157 memory: 17087 grad_norm: 7.0518 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7734 loss: 0.7734 2022/08/05 16:01:14 - mmengine - INFO - Epoch(train) [237][1840/1879] lr: 1.0000e-04 eta: 4:18:04 time: 0.4708 data_time: 0.0169 memory: 17087 grad_norm: 7.3379 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7037 loss: 0.7037 2022/08/05 16:01:23 - mmengine - INFO - Epoch(train) [237][1860/1879] lr: 1.0000e-04 eta: 4:17:55 time: 0.4339 data_time: 0.0161 memory: 17087 grad_norm: 7.3730 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8621 loss: 0.8621 2022/08/05 16:01:32 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 16:01:32 - mmengine - INFO - Epoch(train) [237][1879/1879] lr: 1.0000e-04 eta: 4:17:55 time: 0.4589 data_time: 0.0145 memory: 17087 grad_norm: 7.3074 top1_acc: 0.5714 top5_acc: 1.0000 loss_cls: 0.8370 loss: 0.8370 2022/08/05 16:01:43 - mmengine - INFO - Epoch(train) [238][20/1879] lr: 1.0000e-04 eta: 4:17:38 time: 0.5789 data_time: 0.1338 memory: 17087 grad_norm: 7.5096 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0744 loss: 1.0744 2022/08/05 16:01:52 - mmengine - INFO - Epoch(train) [238][40/1879] lr: 1.0000e-04 eta: 4:17:29 time: 0.4351 data_time: 0.0180 memory: 17087 grad_norm: 7.3036 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9850 loss: 0.9850 2022/08/05 16:02:01 - mmengine - INFO - Epoch(train) [238][60/1879] lr: 1.0000e-04 eta: 4:17:20 time: 0.4309 data_time: 0.0158 memory: 17087 grad_norm: 6.8630 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9111 loss: 0.9111 2022/08/05 16:02:09 - mmengine - INFO - Epoch(train) [238][80/1879] lr: 1.0000e-04 eta: 4:17:12 time: 0.4350 data_time: 0.0155 memory: 17087 grad_norm: 7.0445 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7583 loss: 0.7583 2022/08/05 16:02:18 - mmengine - INFO - Epoch(train) [238][100/1879] lr: 1.0000e-04 eta: 4:17:03 time: 0.4414 data_time: 0.0172 memory: 17087 grad_norm: 7.1305 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6899 loss: 0.6899 2022/08/05 16:02:27 - mmengine - INFO - Epoch(train) [238][120/1879] lr: 1.0000e-04 eta: 4:16:54 time: 0.4325 data_time: 0.0172 memory: 17087 grad_norm: 7.3652 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8846 loss: 0.8846 2022/08/05 16:02:36 - mmengine - INFO - Epoch(train) [238][140/1879] lr: 1.0000e-04 eta: 4:16:46 time: 0.4397 data_time: 0.0146 memory: 17087 grad_norm: 6.8642 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8770 loss: 0.8770 2022/08/05 16:02:44 - mmengine - INFO - Epoch(train) [238][160/1879] lr: 1.0000e-04 eta: 4:16:37 time: 0.4327 data_time: 0.0169 memory: 17087 grad_norm: 6.8943 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9291 loss: 0.9291 2022/08/05 16:02:54 - mmengine - INFO - Epoch(train) [238][180/1879] lr: 1.0000e-04 eta: 4:16:28 time: 0.4718 data_time: 0.0167 memory: 17087 grad_norm: 7.0908 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8067 loss: 0.8067 2022/08/05 16:03:02 - mmengine - INFO - Epoch(train) [238][200/1879] lr: 1.0000e-04 eta: 4:16:20 time: 0.4317 data_time: 0.0173 memory: 17087 grad_norm: 7.0872 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8315 loss: 0.8315 2022/08/05 16:03:12 - mmengine - INFO - Epoch(train) [238][220/1879] lr: 1.0000e-04 eta: 4:16:11 time: 0.4596 data_time: 0.0166 memory: 17087 grad_norm: 6.9455 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7982 loss: 0.7982 2022/08/05 16:03:20 - mmengine - INFO - Epoch(train) [238][240/1879] lr: 1.0000e-04 eta: 4:16:03 time: 0.4301 data_time: 0.0164 memory: 17087 grad_norm: 6.9904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6355 loss: 0.6355 2022/08/05 16:03:29 - mmengine - INFO - Epoch(train) [238][260/1879] lr: 1.0000e-04 eta: 4:15:54 time: 0.4315 data_time: 0.0156 memory: 17087 grad_norm: 7.2874 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8699 loss: 0.8699 2022/08/05 16:03:38 - mmengine - INFO - Epoch(train) [238][280/1879] lr: 1.0000e-04 eta: 4:15:45 time: 0.4782 data_time: 0.0183 memory: 17087 grad_norm: 7.1406 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8911 loss: 0.8911 2022/08/05 16:03:47 - mmengine - INFO - Epoch(train) [238][300/1879] lr: 1.0000e-04 eta: 4:15:37 time: 0.4289 data_time: 0.0160 memory: 17087 grad_norm: 7.2934 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.8745 loss: 0.8745 2022/08/05 16:03:56 - mmengine - INFO - Epoch(train) [238][320/1879] lr: 1.0000e-04 eta: 4:15:28 time: 0.4571 data_time: 0.0183 memory: 17087 grad_norm: 7.0619 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7544 loss: 0.7544 2022/08/05 16:04:05 - mmengine - INFO - Epoch(train) [238][340/1879] lr: 1.0000e-04 eta: 4:15:19 time: 0.4307 data_time: 0.0159 memory: 17087 grad_norm: 7.5248 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8487 loss: 0.8487 2022/08/05 16:04:14 - mmengine - INFO - Epoch(train) [238][360/1879] lr: 1.0000e-04 eta: 4:15:11 time: 0.4463 data_time: 0.0181 memory: 17087 grad_norm: 7.0229 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7728 loss: 0.7728 2022/08/05 16:04:22 - mmengine - INFO - Epoch(train) [238][380/1879] lr: 1.0000e-04 eta: 4:15:02 time: 0.4301 data_time: 0.0158 memory: 17087 grad_norm: 7.0941 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8548 loss: 0.8548 2022/08/05 16:04:32 - mmengine - INFO - Epoch(train) [238][400/1879] lr: 1.0000e-04 eta: 4:14:53 time: 0.4589 data_time: 0.0173 memory: 17087 grad_norm: 7.0458 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7885 loss: 0.7885 2022/08/05 16:04:40 - mmengine - INFO - Epoch(train) [238][420/1879] lr: 1.0000e-04 eta: 4:14:45 time: 0.4338 data_time: 0.0153 memory: 17087 grad_norm: 7.3159 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 1.0072 loss: 1.0072 2022/08/05 16:04:49 - mmengine - INFO - Epoch(train) [238][440/1879] lr: 1.0000e-04 eta: 4:14:36 time: 0.4312 data_time: 0.0162 memory: 17087 grad_norm: 7.0480 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7051 loss: 0.7051 2022/08/05 16:04:58 - mmengine - INFO - Epoch(train) [238][460/1879] lr: 1.0000e-04 eta: 4:14:27 time: 0.4564 data_time: 0.0167 memory: 17087 grad_norm: 7.2547 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9095 loss: 0.9095 2022/08/05 16:05:07 - mmengine - INFO - Epoch(train) [238][480/1879] lr: 1.0000e-04 eta: 4:14:19 time: 0.4426 data_time: 0.0236 memory: 17087 grad_norm: 6.9547 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6984 loss: 0.6984 2022/08/05 16:05:16 - mmengine - INFO - Epoch(train) [238][500/1879] lr: 1.0000e-04 eta: 4:14:10 time: 0.4304 data_time: 0.0157 memory: 17087 grad_norm: 7.2181 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7573 loss: 0.7573 2022/08/05 16:05:24 - mmengine - INFO - Epoch(train) [238][520/1879] lr: 1.0000e-04 eta: 4:14:01 time: 0.4364 data_time: 0.0184 memory: 17087 grad_norm: 7.2319 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8105 loss: 0.8105 2022/08/05 16:05:33 - mmengine - INFO - Epoch(train) [238][540/1879] lr: 1.0000e-04 eta: 4:13:53 time: 0.4312 data_time: 0.0154 memory: 17087 grad_norm: 7.2712 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8515 loss: 0.8515 2022/08/05 16:05:42 - mmengine - INFO - Epoch(train) [238][560/1879] lr: 1.0000e-04 eta: 4:13:44 time: 0.4676 data_time: 0.0178 memory: 17087 grad_norm: 7.2393 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8774 loss: 0.8774 2022/08/05 16:05:51 - mmengine - INFO - Epoch(train) [238][580/1879] lr: 1.0000e-04 eta: 4:13:35 time: 0.4338 data_time: 0.0147 memory: 17087 grad_norm: 7.1641 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7472 loss: 0.7472 2022/08/05 16:06:00 - mmengine - INFO - Epoch(train) [238][600/1879] lr: 1.0000e-04 eta: 4:13:27 time: 0.4363 data_time: 0.0211 memory: 17087 grad_norm: 7.1022 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7399 loss: 0.7399 2022/08/05 16:06:09 - mmengine - INFO - Epoch(train) [238][620/1879] lr: 1.0000e-04 eta: 4:13:18 time: 0.4684 data_time: 0.0197 memory: 17087 grad_norm: 7.0728 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8826 loss: 0.8826 2022/08/05 16:06:18 - mmengine - INFO - Epoch(train) [238][640/1879] lr: 1.0000e-04 eta: 4:13:10 time: 0.4326 data_time: 0.0167 memory: 17087 grad_norm: 7.0532 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7107 loss: 0.7107 2022/08/05 16:06:27 - mmengine - INFO - Epoch(train) [238][660/1879] lr: 1.0000e-04 eta: 4:13:01 time: 0.4694 data_time: 0.0211 memory: 17087 grad_norm: 7.2549 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6935 loss: 0.6935 2022/08/05 16:06:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 16:06:36 - mmengine - INFO - Epoch(train) [238][680/1879] lr: 1.0000e-04 eta: 4:12:52 time: 0.4351 data_time: 0.0162 memory: 17087 grad_norm: 7.2093 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8622 loss: 0.8622 2022/08/05 16:06:45 - mmengine - INFO - Epoch(train) [238][700/1879] lr: 1.0000e-04 eta: 4:12:44 time: 0.4560 data_time: 0.0176 memory: 17087 grad_norm: 7.0690 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8966 loss: 0.8966 2022/08/05 16:06:54 - mmengine - INFO - Epoch(train) [238][720/1879] lr: 1.0000e-04 eta: 4:12:35 time: 0.4354 data_time: 0.0219 memory: 17087 grad_norm: 6.9760 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9280 loss: 0.9280 2022/08/05 16:07:03 - mmengine - INFO - Epoch(train) [238][740/1879] lr: 1.0000e-04 eta: 4:12:26 time: 0.4364 data_time: 0.0184 memory: 17087 grad_norm: 6.9935 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8437 loss: 0.8437 2022/08/05 16:07:12 - mmengine - INFO - Epoch(train) [238][760/1879] lr: 1.0000e-04 eta: 4:12:18 time: 0.4567 data_time: 0.0174 memory: 17087 grad_norm: 7.3610 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9532 loss: 0.9532 2022/08/05 16:07:21 - mmengine - INFO - Epoch(train) [238][780/1879] lr: 1.0000e-04 eta: 4:12:09 time: 0.4318 data_time: 0.0149 memory: 17087 grad_norm: 7.3922 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8131 loss: 0.8131 2022/08/05 16:07:29 - mmengine - INFO - Epoch(train) [238][800/1879] lr: 1.0000e-04 eta: 4:12:00 time: 0.4302 data_time: 0.0158 memory: 17087 grad_norm: 6.9578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7343 loss: 0.7343 2022/08/05 16:07:38 - mmengine - INFO - Epoch(train) [238][820/1879] lr: 1.0000e-04 eta: 4:11:52 time: 0.4342 data_time: 0.0177 memory: 17087 grad_norm: 7.2237 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6992 loss: 0.6992 2022/08/05 16:07:47 - mmengine - INFO - Epoch(train) [238][840/1879] lr: 1.0000e-04 eta: 4:11:43 time: 0.4462 data_time: 0.0162 memory: 17087 grad_norm: 7.3294 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8861 loss: 0.8861 2022/08/05 16:07:56 - mmengine - INFO - Epoch(train) [238][860/1879] lr: 1.0000e-04 eta: 4:11:34 time: 0.4357 data_time: 0.0154 memory: 17087 grad_norm: 7.2638 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8211 loss: 0.8211 2022/08/05 16:08:04 - mmengine - INFO - Epoch(train) [238][880/1879] lr: 1.0000e-04 eta: 4:11:26 time: 0.4371 data_time: 0.0199 memory: 17087 grad_norm: 7.0934 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7085 loss: 0.7085 2022/08/05 16:08:13 - mmengine - INFO - Epoch(train) [238][900/1879] lr: 1.0000e-04 eta: 4:11:17 time: 0.4308 data_time: 0.0157 memory: 17087 grad_norm: 7.6566 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8247 loss: 0.8247 2022/08/05 16:08:22 - mmengine - INFO - Epoch(train) [238][920/1879] lr: 1.0000e-04 eta: 4:11:08 time: 0.4505 data_time: 0.0169 memory: 17087 grad_norm: 6.8453 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7034 loss: 0.7034 2022/08/05 16:08:31 - mmengine - INFO - Epoch(train) [238][940/1879] lr: 1.0000e-04 eta: 4:11:00 time: 0.4312 data_time: 0.0153 memory: 17087 grad_norm: 7.0813 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8697 loss: 0.8697 2022/08/05 16:08:39 - mmengine - INFO - Epoch(train) [238][960/1879] lr: 1.0000e-04 eta: 4:10:51 time: 0.4367 data_time: 0.0203 memory: 17087 grad_norm: 7.0530 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7444 loss: 0.7444 2022/08/05 16:08:49 - mmengine - INFO - Epoch(train) [238][980/1879] lr: 1.0000e-04 eta: 4:10:42 time: 0.4616 data_time: 0.0190 memory: 17087 grad_norm: 7.1569 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7389 loss: 0.7389 2022/08/05 16:08:57 - mmengine - INFO - Epoch(train) [238][1000/1879] lr: 1.0000e-04 eta: 4:10:34 time: 0.4375 data_time: 0.0206 memory: 17087 grad_norm: 7.1048 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6998 loss: 0.6998 2022/08/05 16:09:07 - mmengine - INFO - Epoch(train) [238][1020/1879] lr: 1.0000e-04 eta: 4:10:25 time: 0.4568 data_time: 0.0165 memory: 17087 grad_norm: 7.1166 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7466 loss: 0.7466 2022/08/05 16:09:15 - mmengine - INFO - Epoch(train) [238][1040/1879] lr: 1.0000e-04 eta: 4:10:17 time: 0.4408 data_time: 0.0215 memory: 17087 grad_norm: 7.1121 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7309 loss: 0.7309 2022/08/05 16:09:24 - mmengine - INFO - Epoch(train) [238][1060/1879] lr: 1.0000e-04 eta: 4:10:08 time: 0.4361 data_time: 0.0165 memory: 17087 grad_norm: 7.4340 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8030 loss: 0.8030 2022/08/05 16:09:33 - mmengine - INFO - Epoch(train) [238][1080/1879] lr: 1.0000e-04 eta: 4:09:59 time: 0.4370 data_time: 0.0168 memory: 17087 grad_norm: 7.1023 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8144 loss: 0.8144 2022/08/05 16:09:42 - mmengine - INFO - Epoch(train) [238][1100/1879] lr: 1.0000e-04 eta: 4:09:51 time: 0.4494 data_time: 0.0160 memory: 17087 grad_norm: 7.1762 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8605 loss: 0.8605 2022/08/05 16:09:51 - mmengine - INFO - Epoch(train) [238][1120/1879] lr: 1.0000e-04 eta: 4:09:42 time: 0.4311 data_time: 0.0158 memory: 17087 grad_norm: 7.0910 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7658 loss: 0.7658 2022/08/05 16:10:00 - mmengine - INFO - Epoch(train) [238][1140/1879] lr: 1.0000e-04 eta: 4:09:33 time: 0.4489 data_time: 0.0174 memory: 17087 grad_norm: 6.6966 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8072 loss: 0.8072 2022/08/05 16:10:08 - mmengine - INFO - Epoch(train) [238][1160/1879] lr: 1.0000e-04 eta: 4:09:25 time: 0.4305 data_time: 0.0184 memory: 17087 grad_norm: 7.3634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8538 loss: 0.8538 2022/08/05 16:10:18 - mmengine - INFO - Epoch(train) [238][1180/1879] lr: 1.0000e-04 eta: 4:09:16 time: 0.4748 data_time: 0.0175 memory: 17087 grad_norm: 7.3933 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8161 loss: 0.8161 2022/08/05 16:10:26 - mmengine - INFO - Epoch(train) [238][1200/1879] lr: 1.0000e-04 eta: 4:09:07 time: 0.4328 data_time: 0.0167 memory: 17087 grad_norm: 7.0973 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6766 loss: 0.6766 2022/08/05 16:10:35 - mmengine - INFO - Epoch(train) [238][1220/1879] lr: 1.0000e-04 eta: 4:08:59 time: 0.4400 data_time: 0.0173 memory: 17087 grad_norm: 7.2771 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8717 loss: 0.8717 2022/08/05 16:10:44 - mmengine - INFO - Epoch(train) [238][1240/1879] lr: 1.0000e-04 eta: 4:08:50 time: 0.4342 data_time: 0.0182 memory: 17087 grad_norm: 7.0400 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8090 loss: 0.8090 2022/08/05 16:10:53 - mmengine - INFO - Epoch(train) [238][1260/1879] lr: 1.0000e-04 eta: 4:08:41 time: 0.4456 data_time: 0.0160 memory: 17087 grad_norm: 7.5633 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8600 loss: 0.8600 2022/08/05 16:11:02 - mmengine - INFO - Epoch(train) [238][1280/1879] lr: 1.0000e-04 eta: 4:08:33 time: 0.4421 data_time: 0.0182 memory: 17087 grad_norm: 7.1705 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8086 loss: 0.8086 2022/08/05 16:11:10 - mmengine - INFO - Epoch(train) [238][1300/1879] lr: 1.0000e-04 eta: 4:08:24 time: 0.4306 data_time: 0.0154 memory: 17087 grad_norm: 6.9344 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7588 loss: 0.7588 2022/08/05 16:11:19 - mmengine - INFO - Epoch(train) [238][1320/1879] lr: 1.0000e-04 eta: 4:08:15 time: 0.4386 data_time: 0.0172 memory: 17087 grad_norm: 7.1103 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8189 loss: 0.8189 2022/08/05 16:11:28 - mmengine - INFO - Epoch(train) [238][1340/1879] lr: 1.0000e-04 eta: 4:08:07 time: 0.4304 data_time: 0.0135 memory: 17087 grad_norm: 7.5300 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8392 loss: 0.8392 2022/08/05 16:11:37 - mmengine - INFO - Epoch(train) [238][1360/1879] lr: 1.0000e-04 eta: 4:07:58 time: 0.4508 data_time: 0.0178 memory: 17087 grad_norm: 7.5239 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7233 loss: 0.7233 2022/08/05 16:11:45 - mmengine - INFO - Epoch(train) [238][1380/1879] lr: 1.0000e-04 eta: 4:07:49 time: 0.4310 data_time: 0.0159 memory: 17087 grad_norm: 6.8717 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8819 loss: 0.8819 2022/08/05 16:11:54 - mmengine - INFO - Epoch(train) [238][1400/1879] lr: 1.0000e-04 eta: 4:07:41 time: 0.4322 data_time: 0.0168 memory: 17087 grad_norm: 7.2961 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8626 loss: 0.8626 2022/08/05 16:12:03 - mmengine - INFO - Epoch(train) [238][1420/1879] lr: 1.0000e-04 eta: 4:07:32 time: 0.4324 data_time: 0.0170 memory: 17087 grad_norm: 7.3495 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8780 loss: 0.8780 2022/08/05 16:12:12 - mmengine - INFO - Epoch(train) [238][1440/1879] lr: 1.0000e-04 eta: 4:07:23 time: 0.4624 data_time: 0.0184 memory: 17087 grad_norm: 7.1110 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7707 loss: 0.7707 2022/08/05 16:12:21 - mmengine - INFO - Epoch(train) [238][1460/1879] lr: 1.0000e-04 eta: 4:07:15 time: 0.4284 data_time: 0.0151 memory: 17087 grad_norm: 7.3350 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7503 loss: 0.7503 2022/08/05 16:12:29 - mmengine - INFO - Epoch(train) [238][1480/1879] lr: 1.0000e-04 eta: 4:07:06 time: 0.4299 data_time: 0.0153 memory: 17087 grad_norm: 6.8589 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7792 loss: 0.7792 2022/08/05 16:12:38 - mmengine - INFO - Epoch(train) [238][1500/1879] lr: 1.0000e-04 eta: 4:06:57 time: 0.4473 data_time: 0.0171 memory: 17087 grad_norm: 7.2718 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8266 loss: 0.8266 2022/08/05 16:12:47 - mmengine - INFO - Epoch(train) [238][1520/1879] lr: 1.0000e-04 eta: 4:06:49 time: 0.4328 data_time: 0.0180 memory: 17087 grad_norm: 7.1196 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7696 loss: 0.7696 2022/08/05 16:12:56 - mmengine - INFO - Epoch(train) [238][1540/1879] lr: 1.0000e-04 eta: 4:06:40 time: 0.4356 data_time: 0.0154 memory: 17087 grad_norm: 7.1896 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8627 loss: 0.8627 2022/08/05 16:13:04 - mmengine - INFO - Epoch(train) [238][1560/1879] lr: 1.0000e-04 eta: 4:06:31 time: 0.4364 data_time: 0.0226 memory: 17087 grad_norm: 6.9600 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7589 loss: 0.7589 2022/08/05 16:13:13 - mmengine - INFO - Epoch(train) [238][1580/1879] lr: 1.0000e-04 eta: 4:06:23 time: 0.4399 data_time: 0.0165 memory: 17087 grad_norm: 7.3396 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8514 loss: 0.8514 2022/08/05 16:13:22 - mmengine - INFO - Epoch(train) [238][1600/1879] lr: 1.0000e-04 eta: 4:06:14 time: 0.4560 data_time: 0.0182 memory: 17087 grad_norm: 7.2809 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8852 loss: 0.8852 2022/08/05 16:13:31 - mmengine - INFO - Epoch(train) [238][1620/1879] lr: 1.0000e-04 eta: 4:06:06 time: 0.4310 data_time: 0.0144 memory: 17087 grad_norm: 7.2919 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8376 loss: 0.8376 2022/08/05 16:13:40 - mmengine - INFO - Epoch(train) [238][1640/1879] lr: 1.0000e-04 eta: 4:05:57 time: 0.4424 data_time: 0.0226 memory: 17087 grad_norm: 6.9329 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7025 loss: 0.7025 2022/08/05 16:13:49 - mmengine - INFO - Epoch(train) [238][1660/1879] lr: 1.0000e-04 eta: 4:05:48 time: 0.4335 data_time: 0.0179 memory: 17087 grad_norm: 7.2303 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8087 loss: 0.8087 2022/08/05 16:13:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 16:13:57 - mmengine - INFO - Epoch(train) [238][1680/1879] lr: 1.0000e-04 eta: 4:05:40 time: 0.4339 data_time: 0.0169 memory: 17087 grad_norm: 7.6518 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8379 loss: 0.8379 2022/08/05 16:14:06 - mmengine - INFO - Epoch(train) [238][1700/1879] lr: 1.0000e-04 eta: 4:05:31 time: 0.4523 data_time: 0.0166 memory: 17087 grad_norm: 7.1484 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7320 loss: 0.7320 2022/08/05 16:14:15 - mmengine - INFO - Epoch(train) [238][1720/1879] lr: 1.0000e-04 eta: 4:05:22 time: 0.4447 data_time: 0.0181 memory: 17087 grad_norm: 7.1180 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6648 loss: 0.6648 2022/08/05 16:14:24 - mmengine - INFO - Epoch(train) [238][1740/1879] lr: 1.0000e-04 eta: 4:05:14 time: 0.4303 data_time: 0.0175 memory: 17087 grad_norm: 7.1152 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8363 loss: 0.8363 2022/08/05 16:14:33 - mmengine - INFO - Epoch(train) [238][1760/1879] lr: 1.0000e-04 eta: 4:05:05 time: 0.4703 data_time: 0.0160 memory: 17087 grad_norm: 7.2162 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9892 loss: 0.9892 2022/08/05 16:14:42 - mmengine - INFO - Epoch(train) [238][1780/1879] lr: 1.0000e-04 eta: 4:04:56 time: 0.4310 data_time: 0.0161 memory: 17087 grad_norm: 7.1515 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9068 loss: 0.9068 2022/08/05 16:14:51 - mmengine - INFO - Epoch(train) [238][1800/1879] lr: 1.0000e-04 eta: 4:04:48 time: 0.4309 data_time: 0.0150 memory: 17087 grad_norm: 7.3035 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9025 loss: 0.9025 2022/08/05 16:15:00 - mmengine - INFO - Epoch(train) [238][1820/1879] lr: 1.0000e-04 eta: 4:04:39 time: 0.4746 data_time: 0.0156 memory: 17087 grad_norm: 7.2424 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8683 loss: 0.8683 2022/08/05 16:15:09 - mmengine - INFO - Epoch(train) [238][1840/1879] lr: 1.0000e-04 eta: 4:04:30 time: 0.4314 data_time: 0.0172 memory: 17087 grad_norm: 7.2330 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7781 loss: 0.7781 2022/08/05 16:15:18 - mmengine - INFO - Epoch(train) [238][1860/1879] lr: 1.0000e-04 eta: 4:04:22 time: 0.4423 data_time: 0.0158 memory: 17087 grad_norm: 7.1869 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9191 loss: 0.9191 2022/08/05 16:15:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 16:15:25 - mmengine - INFO - Epoch(train) [238][1879/1879] lr: 1.0000e-04 eta: 4:04:22 time: 0.4125 data_time: 0.0159 memory: 17087 grad_norm: 7.5692 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 1.0066 loss: 1.0066 2022/08/05 16:15:37 - mmengine - INFO - Epoch(train) [239][20/1879] lr: 1.0000e-04 eta: 4:04:04 time: 0.5773 data_time: 0.1098 memory: 17087 grad_norm: 7.1750 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8970 loss: 0.8970 2022/08/05 16:15:46 - mmengine - INFO - Epoch(train) [239][40/1879] lr: 1.0000e-04 eta: 4:03:56 time: 0.4542 data_time: 0.0193 memory: 17087 grad_norm: 7.0960 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6804 loss: 0.6804 2022/08/05 16:15:55 - mmengine - INFO - Epoch(train) [239][60/1879] lr: 1.0000e-04 eta: 4:03:47 time: 0.4405 data_time: 0.0168 memory: 17087 grad_norm: 6.9393 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8068 loss: 0.8068 2022/08/05 16:16:04 - mmengine - INFO - Epoch(train) [239][80/1879] lr: 1.0000e-04 eta: 4:03:38 time: 0.4328 data_time: 0.0186 memory: 17087 grad_norm: 6.8358 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8174 loss: 0.8174 2022/08/05 16:16:13 - mmengine - INFO - Epoch(train) [239][100/1879] lr: 1.0000e-04 eta: 4:03:30 time: 0.4406 data_time: 0.0164 memory: 17087 grad_norm: 7.1825 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7265 loss: 0.7265 2022/08/05 16:16:21 - mmengine - INFO - Epoch(train) [239][120/1879] lr: 1.0000e-04 eta: 4:03:21 time: 0.4343 data_time: 0.0176 memory: 17087 grad_norm: 7.3479 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7275 loss: 0.7275 2022/08/05 16:16:30 - mmengine - INFO - Epoch(train) [239][140/1879] lr: 1.0000e-04 eta: 4:03:12 time: 0.4313 data_time: 0.0160 memory: 17087 grad_norm: 7.0931 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9411 loss: 0.9411 2022/08/05 16:16:39 - mmengine - INFO - Epoch(train) [239][160/1879] lr: 1.0000e-04 eta: 4:03:04 time: 0.4422 data_time: 0.0193 memory: 17087 grad_norm: 6.9550 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8227 loss: 0.8227 2022/08/05 16:16:48 - mmengine - INFO - Epoch(train) [239][180/1879] lr: 1.0000e-04 eta: 4:02:55 time: 0.4419 data_time: 0.0165 memory: 17087 grad_norm: 6.8736 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7804 loss: 0.7804 2022/08/05 16:16:56 - mmengine - INFO - Epoch(train) [239][200/1879] lr: 1.0000e-04 eta: 4:02:47 time: 0.4334 data_time: 0.0153 memory: 17087 grad_norm: 7.2840 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8721 loss: 0.8721 2022/08/05 16:17:05 - mmengine - INFO - Epoch(train) [239][220/1879] lr: 1.0000e-04 eta: 4:02:38 time: 0.4356 data_time: 0.0169 memory: 17087 grad_norm: 7.2087 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0096 loss: 1.0096 2022/08/05 16:17:14 - mmengine - INFO - Epoch(train) [239][240/1879] lr: 1.0000e-04 eta: 4:02:29 time: 0.4318 data_time: 0.0169 memory: 17087 grad_norm: 7.0637 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9218 loss: 0.9218 2022/08/05 16:17:23 - mmengine - INFO - Epoch(train) [239][260/1879] lr: 1.0000e-04 eta: 4:02:21 time: 0.4529 data_time: 0.0178 memory: 17087 grad_norm: 7.5405 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7043 loss: 0.7043 2022/08/05 16:17:32 - mmengine - INFO - Epoch(train) [239][280/1879] lr: 1.0000e-04 eta: 4:02:12 time: 0.4337 data_time: 0.0160 memory: 17087 grad_norm: 7.0293 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8566 loss: 0.8566 2022/08/05 16:17:40 - mmengine - INFO - Epoch(train) [239][300/1879] lr: 1.0000e-04 eta: 4:02:03 time: 0.4365 data_time: 0.0179 memory: 17087 grad_norm: 7.1673 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8224 loss: 0.8224 2022/08/05 16:17:49 - mmengine - INFO - Epoch(train) [239][320/1879] lr: 1.0000e-04 eta: 4:01:55 time: 0.4369 data_time: 0.0178 memory: 17087 grad_norm: 6.9914 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8244 loss: 0.8244 2022/08/05 16:17:58 - mmengine - INFO - Epoch(train) [239][340/1879] lr: 1.0000e-04 eta: 4:01:46 time: 0.4338 data_time: 0.0153 memory: 17087 grad_norm: 7.1882 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7564 loss: 0.7564 2022/08/05 16:18:06 - mmengine - INFO - Epoch(train) [239][360/1879] lr: 1.0000e-04 eta: 4:01:37 time: 0.4311 data_time: 0.0158 memory: 17087 grad_norm: 7.1774 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7749 loss: 0.7749 2022/08/05 16:18:15 - mmengine - INFO - Epoch(train) [239][380/1879] lr: 1.0000e-04 eta: 4:01:29 time: 0.4338 data_time: 0.0193 memory: 17087 grad_norm: 7.0703 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8980 loss: 0.8980 2022/08/05 16:18:24 - mmengine - INFO - Epoch(train) [239][400/1879] lr: 1.0000e-04 eta: 4:01:20 time: 0.4353 data_time: 0.0171 memory: 17087 grad_norm: 7.0884 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8178 loss: 0.8178 2022/08/05 16:18:33 - mmengine - INFO - Epoch(train) [239][420/1879] lr: 1.0000e-04 eta: 4:01:11 time: 0.4347 data_time: 0.0147 memory: 17087 grad_norm: 7.2327 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7222 loss: 0.7222 2022/08/05 16:18:41 - mmengine - INFO - Epoch(train) [239][440/1879] lr: 1.0000e-04 eta: 4:01:03 time: 0.4318 data_time: 0.0170 memory: 17087 grad_norm: 6.9123 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9850 loss: 0.9850 2022/08/05 16:18:50 - mmengine - INFO - Epoch(train) [239][460/1879] lr: 1.0000e-04 eta: 4:00:54 time: 0.4349 data_time: 0.0153 memory: 17087 grad_norm: 7.1489 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.6554 loss: 0.6554 2022/08/05 16:18:59 - mmengine - INFO - Epoch(train) [239][480/1879] lr: 1.0000e-04 eta: 4:00:45 time: 0.4329 data_time: 0.0160 memory: 17087 grad_norm: 6.8986 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8878 loss: 0.8878 2022/08/05 16:19:08 - mmengine - INFO - Epoch(train) [239][500/1879] lr: 1.0000e-04 eta: 4:00:37 time: 0.4485 data_time: 0.0210 memory: 17087 grad_norm: 6.9966 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7754 loss: 0.7754 2022/08/05 16:19:16 - mmengine - INFO - Epoch(train) [239][520/1879] lr: 1.0000e-04 eta: 4:00:28 time: 0.4345 data_time: 0.0187 memory: 17087 grad_norm: 7.1774 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.5957 loss: 0.5957 2022/08/05 16:19:26 - mmengine - INFO - Epoch(train) [239][540/1879] lr: 1.0000e-04 eta: 4:00:19 time: 0.4572 data_time: 0.0181 memory: 17087 grad_norm: 7.1763 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9554 loss: 0.9554 2022/08/05 16:19:34 - mmengine - INFO - Epoch(train) [239][560/1879] lr: 1.0000e-04 eta: 4:00:11 time: 0.4325 data_time: 0.0162 memory: 17087 grad_norm: 6.9732 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9393 loss: 0.9393 2022/08/05 16:19:43 - mmengine - INFO - Epoch(train) [239][580/1879] lr: 1.0000e-04 eta: 4:00:02 time: 0.4383 data_time: 0.0206 memory: 17087 grad_norm: 7.2116 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9630 loss: 0.9630 2022/08/05 16:19:52 - mmengine - INFO - Epoch(train) [239][600/1879] lr: 1.0000e-04 eta: 3:59:53 time: 0.4305 data_time: 0.0151 memory: 17087 grad_norm: 7.4187 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8748 loss: 0.8748 2022/08/05 16:20:01 - mmengine - INFO - Epoch(train) [239][620/1879] lr: 1.0000e-04 eta: 3:59:45 time: 0.4551 data_time: 0.0157 memory: 17087 grad_norm: 7.3401 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9945 loss: 0.9945 2022/08/05 16:20:09 - mmengine - INFO - Epoch(train) [239][640/1879] lr: 1.0000e-04 eta: 3:59:36 time: 0.4343 data_time: 0.0180 memory: 17087 grad_norm: 7.1813 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7918 loss: 0.7918 2022/08/05 16:20:19 - mmengine - INFO - Epoch(train) [239][660/1879] lr: 1.0000e-04 eta: 3:59:27 time: 0.4552 data_time: 0.0157 memory: 17087 grad_norm: 7.1848 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8269 loss: 0.8269 2022/08/05 16:20:27 - mmengine - INFO - Epoch(train) [239][680/1879] lr: 1.0000e-04 eta: 3:59:19 time: 0.4346 data_time: 0.0191 memory: 17087 grad_norm: 7.3353 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6744 loss: 0.6744 2022/08/05 16:20:37 - mmengine - INFO - Epoch(train) [239][700/1879] lr: 1.0000e-04 eta: 3:59:10 time: 0.4600 data_time: 0.0156 memory: 17087 grad_norm: 7.2632 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7672 loss: 0.7672 2022/08/05 16:20:45 - mmengine - INFO - Epoch(train) [239][720/1879] lr: 1.0000e-04 eta: 3:59:01 time: 0.4298 data_time: 0.0170 memory: 17087 grad_norm: 7.1765 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8736 loss: 0.8736 2022/08/05 16:20:54 - mmengine - INFO - Epoch(train) [239][740/1879] lr: 1.0000e-04 eta: 3:58:53 time: 0.4497 data_time: 0.0157 memory: 17087 grad_norm: 7.2386 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.5797 loss: 0.5797 2022/08/05 16:21:03 - mmengine - INFO - Epoch(train) [239][760/1879] lr: 1.0000e-04 eta: 3:58:44 time: 0.4319 data_time: 0.0166 memory: 17087 grad_norm: 6.9083 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8718 loss: 0.8718 2022/08/05 16:21:12 - mmengine - INFO - Epoch(train) [239][780/1879] lr: 1.0000e-04 eta: 3:58:35 time: 0.4454 data_time: 0.0172 memory: 17087 grad_norm: 7.2948 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7855 loss: 0.7855 2022/08/05 16:21:20 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 16:21:20 - mmengine - INFO - Epoch(train) [239][800/1879] lr: 1.0000e-04 eta: 3:58:27 time: 0.4315 data_time: 0.0166 memory: 17087 grad_norm: 7.3006 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 1.0718 loss: 1.0718 2022/08/05 16:21:29 - mmengine - INFO - Epoch(train) [239][820/1879] lr: 1.0000e-04 eta: 3:58:18 time: 0.4423 data_time: 0.0143 memory: 17087 grad_norm: 7.2408 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7729 loss: 0.7729 2022/08/05 16:21:38 - mmengine - INFO - Epoch(train) [239][840/1879] lr: 1.0000e-04 eta: 3:58:09 time: 0.4323 data_time: 0.0192 memory: 17087 grad_norm: 6.9397 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9100 loss: 0.9100 2022/08/05 16:21:47 - mmengine - INFO - Epoch(train) [239][860/1879] lr: 1.0000e-04 eta: 3:58:01 time: 0.4375 data_time: 0.0146 memory: 17087 grad_norm: 7.3453 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8099 loss: 0.8099 2022/08/05 16:21:55 - mmengine - INFO - Epoch(train) [239][880/1879] lr: 1.0000e-04 eta: 3:57:52 time: 0.4309 data_time: 0.0158 memory: 17087 grad_norm: 7.2635 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8716 loss: 0.8716 2022/08/05 16:22:04 - mmengine - INFO - Epoch(train) [239][900/1879] lr: 1.0000e-04 eta: 3:57:44 time: 0.4392 data_time: 0.0171 memory: 17087 grad_norm: 7.3391 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8916 loss: 0.8916 2022/08/05 16:22:13 - mmengine - INFO - Epoch(train) [239][920/1879] lr: 1.0000e-04 eta: 3:57:35 time: 0.4327 data_time: 0.0167 memory: 17087 grad_norm: 7.1074 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7258 loss: 0.7258 2022/08/05 16:22:21 - mmengine - INFO - Epoch(train) [239][940/1879] lr: 1.0000e-04 eta: 3:57:26 time: 0.4290 data_time: 0.0142 memory: 17087 grad_norm: 7.0280 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7146 loss: 0.7146 2022/08/05 16:22:30 - mmengine - INFO - Epoch(train) [239][960/1879] lr: 1.0000e-04 eta: 3:57:18 time: 0.4476 data_time: 0.0191 memory: 17087 grad_norm: 7.0951 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8604 loss: 0.8604 2022/08/05 16:22:39 - mmengine - INFO - Epoch(train) [239][980/1879] lr: 1.0000e-04 eta: 3:57:09 time: 0.4365 data_time: 0.0200 memory: 17087 grad_norm: 7.1904 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9062 loss: 0.9062 2022/08/05 16:22:49 - mmengine - INFO - Epoch(train) [239][1000/1879] lr: 1.0000e-04 eta: 3:57:00 time: 0.4762 data_time: 0.0188 memory: 17087 grad_norm: 7.0186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8792 loss: 0.8792 2022/08/05 16:22:57 - mmengine - INFO - Epoch(train) [239][1020/1879] lr: 1.0000e-04 eta: 3:56:52 time: 0.4305 data_time: 0.0144 memory: 17087 grad_norm: 7.1458 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8499 loss: 0.8499 2022/08/05 16:23:06 - mmengine - INFO - Epoch(train) [239][1040/1879] lr: 1.0000e-04 eta: 3:56:43 time: 0.4558 data_time: 0.0174 memory: 17087 grad_norm: 7.1691 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8254 loss: 0.8254 2022/08/05 16:23:15 - mmengine - INFO - Epoch(train) [239][1060/1879] lr: 1.0000e-04 eta: 3:56:34 time: 0.4300 data_time: 0.0153 memory: 17087 grad_norm: 7.3909 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8999 loss: 0.8999 2022/08/05 16:23:25 - mmengine - INFO - Epoch(train) [239][1080/1879] lr: 1.0000e-04 eta: 3:56:26 time: 0.4790 data_time: 0.0158 memory: 17087 grad_norm: 7.4669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7834 loss: 0.7834 2022/08/05 16:23:33 - mmengine - INFO - Epoch(train) [239][1100/1879] lr: 1.0000e-04 eta: 3:56:17 time: 0.4322 data_time: 0.0142 memory: 17087 grad_norm: 7.2886 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7240 loss: 0.7240 2022/08/05 16:23:42 - mmengine - INFO - Epoch(train) [239][1120/1879] lr: 1.0000e-04 eta: 3:56:08 time: 0.4307 data_time: 0.0160 memory: 17087 grad_norm: 7.2262 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9574 loss: 0.9574 2022/08/05 16:23:51 - mmengine - INFO - Epoch(train) [239][1140/1879] lr: 1.0000e-04 eta: 3:56:00 time: 0.4372 data_time: 0.0178 memory: 17087 grad_norm: 7.0257 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9239 loss: 0.9239 2022/08/05 16:23:59 - mmengine - INFO - Epoch(train) [239][1160/1879] lr: 1.0000e-04 eta: 3:55:51 time: 0.4318 data_time: 0.0179 memory: 17087 grad_norm: 7.1733 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8413 loss: 0.8413 2022/08/05 16:24:08 - mmengine - INFO - Epoch(train) [239][1180/1879] lr: 1.0000e-04 eta: 3:55:42 time: 0.4360 data_time: 0.0152 memory: 17087 grad_norm: 7.2134 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9195 loss: 0.9195 2022/08/05 16:24:17 - mmengine - INFO - Epoch(train) [239][1200/1879] lr: 1.0000e-04 eta: 3:55:34 time: 0.4327 data_time: 0.0165 memory: 17087 grad_norm: 7.2525 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7248 loss: 0.7248 2022/08/05 16:24:26 - mmengine - INFO - Epoch(train) [239][1220/1879] lr: 1.0000e-04 eta: 3:55:25 time: 0.4505 data_time: 0.0152 memory: 17087 grad_norm: 7.3721 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7761 loss: 0.7761 2022/08/05 16:24:35 - mmengine - INFO - Epoch(train) [239][1240/1879] lr: 1.0000e-04 eta: 3:55:16 time: 0.4321 data_time: 0.0178 memory: 17087 grad_norm: 7.0669 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.5824 loss: 0.5824 2022/08/05 16:24:43 - mmengine - INFO - Epoch(train) [239][1260/1879] lr: 1.0000e-04 eta: 3:55:08 time: 0.4428 data_time: 0.0161 memory: 17087 grad_norm: 6.9074 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7624 loss: 0.7624 2022/08/05 16:24:52 - mmengine - INFO - Epoch(train) [239][1280/1879] lr: 1.0000e-04 eta: 3:54:59 time: 0.4321 data_time: 0.0171 memory: 17087 grad_norm: 6.9621 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7268 loss: 0.7268 2022/08/05 16:25:01 - mmengine - INFO - Epoch(train) [239][1300/1879] lr: 1.0000e-04 eta: 3:54:50 time: 0.4458 data_time: 0.0162 memory: 17087 grad_norm: 7.0791 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8093 loss: 0.8093 2022/08/05 16:25:10 - mmengine - INFO - Epoch(train) [239][1320/1879] lr: 1.0000e-04 eta: 3:54:42 time: 0.4311 data_time: 0.0165 memory: 17087 grad_norm: 7.0047 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8311 loss: 0.8311 2022/08/05 16:25:18 - mmengine - INFO - Epoch(train) [239][1340/1879] lr: 1.0000e-04 eta: 3:54:33 time: 0.4368 data_time: 0.0170 memory: 17087 grad_norm: 7.2419 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7269 loss: 0.7269 2022/08/05 16:25:27 - mmengine - INFO - Epoch(train) [239][1360/1879] lr: 1.0000e-04 eta: 3:54:24 time: 0.4376 data_time: 0.0172 memory: 17087 grad_norm: 7.4011 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8425 loss: 0.8425 2022/08/05 16:25:36 - mmengine - INFO - Epoch(train) [239][1380/1879] lr: 1.0000e-04 eta: 3:54:16 time: 0.4318 data_time: 0.0155 memory: 17087 grad_norm: 7.0636 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7885 loss: 0.7885 2022/08/05 16:25:45 - mmengine - INFO - Epoch(train) [239][1400/1879] lr: 1.0000e-04 eta: 3:54:07 time: 0.4377 data_time: 0.0172 memory: 17087 grad_norm: 7.1281 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8098 loss: 0.8098 2022/08/05 16:25:53 - mmengine - INFO - Epoch(train) [239][1420/1879] lr: 1.0000e-04 eta: 3:53:58 time: 0.4322 data_time: 0.0181 memory: 17087 grad_norm: 7.2258 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8539 loss: 0.8539 2022/08/05 16:26:02 - mmengine - INFO - Epoch(train) [239][1440/1879] lr: 1.0000e-04 eta: 3:53:50 time: 0.4322 data_time: 0.0162 memory: 17087 grad_norm: 7.0904 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7378 loss: 0.7378 2022/08/05 16:26:11 - mmengine - INFO - Epoch(train) [239][1460/1879] lr: 1.0000e-04 eta: 3:53:41 time: 0.4356 data_time: 0.0142 memory: 17087 grad_norm: 6.9712 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7462 loss: 0.7462 2022/08/05 16:26:19 - mmengine - INFO - Epoch(train) [239][1480/1879] lr: 1.0000e-04 eta: 3:53:32 time: 0.4331 data_time: 0.0181 memory: 17087 grad_norm: 7.0439 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9663 loss: 0.9663 2022/08/05 16:26:28 - mmengine - INFO - Epoch(train) [239][1500/1879] lr: 1.0000e-04 eta: 3:53:24 time: 0.4489 data_time: 0.0132 memory: 17087 grad_norm: 7.1333 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7939 loss: 0.7939 2022/08/05 16:26:37 - mmengine - INFO - Epoch(train) [239][1520/1879] lr: 1.0000e-04 eta: 3:53:15 time: 0.4444 data_time: 0.0223 memory: 17087 grad_norm: 7.2320 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6585 loss: 0.6585 2022/08/05 16:26:46 - mmengine - INFO - Epoch(train) [239][1540/1879] lr: 1.0000e-04 eta: 3:53:06 time: 0.4313 data_time: 0.0147 memory: 17087 grad_norm: 7.4481 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7497 loss: 0.7497 2022/08/05 16:26:55 - mmengine - INFO - Epoch(train) [239][1560/1879] lr: 1.0000e-04 eta: 3:52:58 time: 0.4436 data_time: 0.0186 memory: 17087 grad_norm: 7.1789 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8707 loss: 0.8707 2022/08/05 16:27:04 - mmengine - INFO - Epoch(train) [239][1580/1879] lr: 1.0000e-04 eta: 3:52:49 time: 0.4332 data_time: 0.0149 memory: 17087 grad_norm: 6.6785 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8143 loss: 0.8143 2022/08/05 16:27:12 - mmengine - INFO - Epoch(train) [239][1600/1879] lr: 1.0000e-04 eta: 3:52:40 time: 0.4295 data_time: 0.0173 memory: 17087 grad_norm: 7.1854 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8272 loss: 0.8272 2022/08/05 16:27:21 - mmengine - INFO - Epoch(train) [239][1620/1879] lr: 1.0000e-04 eta: 3:52:32 time: 0.4354 data_time: 0.0166 memory: 17087 grad_norm: 6.8912 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8701 loss: 0.8701 2022/08/05 16:27:30 - mmengine - INFO - Epoch(train) [239][1640/1879] lr: 1.0000e-04 eta: 3:52:23 time: 0.4322 data_time: 0.0158 memory: 17087 grad_norm: 7.1438 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8023 loss: 0.8023 2022/08/05 16:27:39 - mmengine - INFO - Epoch(train) [239][1660/1879] lr: 1.0000e-04 eta: 3:52:15 time: 0.4560 data_time: 0.0168 memory: 17087 grad_norm: 7.0866 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9368 loss: 0.9368 2022/08/05 16:27:48 - mmengine - INFO - Epoch(train) [239][1680/1879] lr: 1.0000e-04 eta: 3:52:06 time: 0.4531 data_time: 0.0186 memory: 17087 grad_norm: 6.9454 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8405 loss: 0.8405 2022/08/05 16:27:57 - mmengine - INFO - Epoch(train) [239][1700/1879] lr: 1.0000e-04 eta: 3:51:57 time: 0.4378 data_time: 0.0169 memory: 17087 grad_norm: 7.3202 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9244 loss: 0.9244 2022/08/05 16:28:05 - mmengine - INFO - Epoch(train) [239][1720/1879] lr: 1.0000e-04 eta: 3:51:49 time: 0.4384 data_time: 0.0235 memory: 17087 grad_norm: 7.2943 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9217 loss: 0.9217 2022/08/05 16:28:14 - mmengine - INFO - Epoch(train) [239][1740/1879] lr: 1.0000e-04 eta: 3:51:40 time: 0.4334 data_time: 0.0150 memory: 17087 grad_norm: 7.0167 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7645 loss: 0.7645 2022/08/05 16:28:23 - mmengine - INFO - Epoch(train) [239][1760/1879] lr: 1.0000e-04 eta: 3:51:31 time: 0.4321 data_time: 0.0168 memory: 17087 grad_norm: 7.3228 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.8475 loss: 0.8475 2022/08/05 16:28:31 - mmengine - INFO - Epoch(train) [239][1780/1879] lr: 1.0000e-04 eta: 3:51:23 time: 0.4335 data_time: 0.0161 memory: 17087 grad_norm: 7.1636 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8666 loss: 0.8666 2022/08/05 16:28:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 16:28:40 - mmengine - INFO - Epoch(train) [239][1800/1879] lr: 1.0000e-04 eta: 3:51:14 time: 0.4440 data_time: 0.0187 memory: 17087 grad_norm: 7.0007 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7460 loss: 0.7460 2022/08/05 16:28:49 - mmengine - INFO - Epoch(train) [239][1820/1879] lr: 1.0000e-04 eta: 3:51:05 time: 0.4332 data_time: 0.0155 memory: 17087 grad_norm: 7.1898 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7918 loss: 0.7918 2022/08/05 16:28:58 - mmengine - INFO - Epoch(train) [239][1840/1879] lr: 1.0000e-04 eta: 3:50:57 time: 0.4507 data_time: 0.0159 memory: 17087 grad_norm: 7.1718 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7762 loss: 0.7762 2022/08/05 16:29:07 - mmengine - INFO - Epoch(train) [239][1860/1879] lr: 1.0000e-04 eta: 3:50:48 time: 0.4310 data_time: 0.0146 memory: 17087 grad_norm: 7.3189 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0533 loss: 1.0533 2022/08/05 16:29:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 16:29:15 - mmengine - INFO - Epoch(train) [239][1879/1879] lr: 1.0000e-04 eta: 3:50:48 time: 0.4591 data_time: 0.0193 memory: 17087 grad_norm: 7.1603 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.8215 loss: 0.8215 2022/08/05 16:29:27 - mmengine - INFO - Epoch(train) [240][20/1879] lr: 1.0000e-04 eta: 3:50:31 time: 0.5718 data_time: 0.1459 memory: 17087 grad_norm: 6.9323 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8382 loss: 0.8382 2022/08/05 16:29:36 - mmengine - INFO - Epoch(train) [240][40/1879] lr: 1.0000e-04 eta: 3:50:22 time: 0.4578 data_time: 0.0177 memory: 17087 grad_norm: 7.3042 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8365 loss: 0.8365 2022/08/05 16:29:45 - mmengine - INFO - Epoch(train) [240][60/1879] lr: 1.0000e-04 eta: 3:50:13 time: 0.4299 data_time: 0.0164 memory: 17087 grad_norm: 6.7043 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8044 loss: 0.8044 2022/08/05 16:29:54 - mmengine - INFO - Epoch(train) [240][80/1879] lr: 1.0000e-04 eta: 3:50:05 time: 0.4676 data_time: 0.0177 memory: 17087 grad_norm: 7.0913 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7724 loss: 0.7724 2022/08/05 16:30:03 - mmengine - INFO - Epoch(train) [240][100/1879] lr: 1.0000e-04 eta: 3:49:56 time: 0.4314 data_time: 0.0128 memory: 17087 grad_norm: 7.2230 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9429 loss: 0.9429 2022/08/05 16:30:11 - mmengine - INFO - Epoch(train) [240][120/1879] lr: 1.0000e-04 eta: 3:49:47 time: 0.4321 data_time: 0.0178 memory: 17087 grad_norm: 7.0165 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9221 loss: 0.9221 2022/08/05 16:30:21 - mmengine - INFO - Epoch(train) [240][140/1879] lr: 1.0000e-04 eta: 3:49:39 time: 0.4538 data_time: 0.0152 memory: 17087 grad_norm: 7.3677 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9265 loss: 0.9265 2022/08/05 16:30:29 - mmengine - INFO - Epoch(train) [240][160/1879] lr: 1.0000e-04 eta: 3:49:30 time: 0.4333 data_time: 0.0170 memory: 17087 grad_norm: 6.9653 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7821 loss: 0.7821 2022/08/05 16:30:38 - mmengine - INFO - Epoch(train) [240][180/1879] lr: 1.0000e-04 eta: 3:49:21 time: 0.4508 data_time: 0.0140 memory: 17087 grad_norm: 7.2739 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6021 loss: 0.6021 2022/08/05 16:30:47 - mmengine - INFO - Epoch(train) [240][200/1879] lr: 1.0000e-04 eta: 3:49:13 time: 0.4338 data_time: 0.0164 memory: 17087 grad_norm: 7.4578 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9636 loss: 0.9636 2022/08/05 16:30:56 - mmengine - INFO - Epoch(train) [240][220/1879] lr: 1.0000e-04 eta: 3:49:04 time: 0.4723 data_time: 0.0153 memory: 17087 grad_norm: 7.1079 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7605 loss: 0.7605 2022/08/05 16:31:05 - mmengine - INFO - Epoch(train) [240][240/1879] lr: 1.0000e-04 eta: 3:48:56 time: 0.4370 data_time: 0.0235 memory: 17087 grad_norm: 7.1698 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6594 loss: 0.6594 2022/08/05 16:31:14 - mmengine - INFO - Epoch(train) [240][260/1879] lr: 1.0000e-04 eta: 3:48:47 time: 0.4347 data_time: 0.0156 memory: 17087 grad_norm: 7.2888 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8424 loss: 0.8424 2022/08/05 16:31:23 - mmengine - INFO - Epoch(train) [240][280/1879] lr: 1.0000e-04 eta: 3:48:38 time: 0.4307 data_time: 0.0166 memory: 17087 grad_norm: 7.2578 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8536 loss: 0.8536 2022/08/05 16:31:31 - mmengine - INFO - Epoch(train) [240][300/1879] lr: 1.0000e-04 eta: 3:48:30 time: 0.4297 data_time: 0.0139 memory: 17087 grad_norm: 7.1145 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7562 loss: 0.7562 2022/08/05 16:31:40 - mmengine - INFO - Epoch(train) [240][320/1879] lr: 1.0000e-04 eta: 3:48:21 time: 0.4472 data_time: 0.0194 memory: 17087 grad_norm: 7.0809 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7509 loss: 0.7509 2022/08/05 16:31:49 - mmengine - INFO - Epoch(train) [240][340/1879] lr: 1.0000e-04 eta: 3:48:12 time: 0.4312 data_time: 0.0149 memory: 17087 grad_norm: 7.2888 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7542 loss: 0.7542 2022/08/05 16:31:58 - mmengine - INFO - Epoch(train) [240][360/1879] lr: 1.0000e-04 eta: 3:48:04 time: 0.4498 data_time: 0.0170 memory: 17087 grad_norm: 7.1723 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7732 loss: 0.7732 2022/08/05 16:32:06 - mmengine - INFO - Epoch(train) [240][380/1879] lr: 1.0000e-04 eta: 3:47:55 time: 0.4310 data_time: 0.0152 memory: 17087 grad_norm: 7.1245 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7888 loss: 0.7888 2022/08/05 16:32:15 - mmengine - INFO - Epoch(train) [240][400/1879] lr: 1.0000e-04 eta: 3:47:46 time: 0.4504 data_time: 0.0181 memory: 17087 grad_norm: 7.0408 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8191 loss: 0.8191 2022/08/05 16:32:24 - mmengine - INFO - Epoch(train) [240][420/1879] lr: 1.0000e-04 eta: 3:47:38 time: 0.4316 data_time: 0.0157 memory: 17087 grad_norm: 7.0853 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0525 loss: 1.0525 2022/08/05 16:32:33 - mmengine - INFO - Epoch(train) [240][440/1879] lr: 1.0000e-04 eta: 3:47:29 time: 0.4319 data_time: 0.0173 memory: 17087 grad_norm: 7.0487 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8433 loss: 0.8433 2022/08/05 16:32:41 - mmengine - INFO - Epoch(train) [240][460/1879] lr: 1.0000e-04 eta: 3:47:20 time: 0.4309 data_time: 0.0133 memory: 17087 grad_norm: 7.2037 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7815 loss: 0.7815 2022/08/05 16:32:51 - mmengine - INFO - Epoch(train) [240][480/1879] lr: 1.0000e-04 eta: 3:47:12 time: 0.4562 data_time: 0.0172 memory: 17087 grad_norm: 7.3611 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8182 loss: 0.8182 2022/08/05 16:32:59 - mmengine - INFO - Epoch(train) [240][500/1879] lr: 1.0000e-04 eta: 3:47:03 time: 0.4294 data_time: 0.0145 memory: 17087 grad_norm: 7.3525 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8134 loss: 0.8134 2022/08/05 16:33:08 - mmengine - INFO - Epoch(train) [240][520/1879] lr: 1.0000e-04 eta: 3:46:54 time: 0.4329 data_time: 0.0172 memory: 17087 grad_norm: 7.0294 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7446 loss: 0.7446 2022/08/05 16:33:17 - mmengine - INFO - Epoch(train) [240][540/1879] lr: 1.0000e-04 eta: 3:46:46 time: 0.4320 data_time: 0.0144 memory: 17087 grad_norm: 7.1695 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9193 loss: 0.9193 2022/08/05 16:33:25 - mmengine - INFO - Epoch(train) [240][560/1879] lr: 1.0000e-04 eta: 3:46:37 time: 0.4356 data_time: 0.0193 memory: 17087 grad_norm: 6.8899 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7703 loss: 0.7703 2022/08/05 16:33:35 - mmengine - INFO - Epoch(train) [240][580/1879] lr: 1.0000e-04 eta: 3:46:28 time: 0.4624 data_time: 0.0152 memory: 17087 grad_norm: 7.1941 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9079 loss: 0.9079 2022/08/05 16:33:43 - mmengine - INFO - Epoch(train) [240][600/1879] lr: 1.0000e-04 eta: 3:46:20 time: 0.4320 data_time: 0.0169 memory: 17087 grad_norm: 7.3356 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9607 loss: 0.9607 2022/08/05 16:33:52 - mmengine - INFO - Epoch(train) [240][620/1879] lr: 1.0000e-04 eta: 3:46:11 time: 0.4308 data_time: 0.0149 memory: 17087 grad_norm: 7.0245 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7586 loss: 0.7586 2022/08/05 16:34:01 - mmengine - INFO - Epoch(train) [240][640/1879] lr: 1.0000e-04 eta: 3:46:02 time: 0.4354 data_time: 0.0172 memory: 17087 grad_norm: 7.2871 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7355 loss: 0.7355 2022/08/05 16:34:09 - mmengine - INFO - Epoch(train) [240][660/1879] lr: 1.0000e-04 eta: 3:45:54 time: 0.4306 data_time: 0.0153 memory: 17087 grad_norm: 7.1306 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7987 loss: 0.7987 2022/08/05 16:34:19 - mmengine - INFO - Epoch(train) [240][680/1879] lr: 1.0000e-04 eta: 3:45:45 time: 0.4762 data_time: 0.0182 memory: 17087 grad_norm: 7.1045 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8276 loss: 0.8276 2022/08/05 16:34:28 - mmengine - INFO - Epoch(train) [240][700/1879] lr: 1.0000e-04 eta: 3:45:36 time: 0.4370 data_time: 0.0142 memory: 17087 grad_norm: 7.3639 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8920 loss: 0.8920 2022/08/05 16:34:36 - mmengine - INFO - Epoch(train) [240][720/1879] lr: 1.0000e-04 eta: 3:45:28 time: 0.4391 data_time: 0.0214 memory: 17087 grad_norm: 7.4505 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8892 loss: 0.8892 2022/08/05 16:34:45 - mmengine - INFO - Epoch(train) [240][740/1879] lr: 1.0000e-04 eta: 3:45:19 time: 0.4300 data_time: 0.0137 memory: 17087 grad_norm: 7.4790 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8203 loss: 0.8203 2022/08/05 16:34:54 - mmengine - INFO - Epoch(train) [240][760/1879] lr: 1.0000e-04 eta: 3:45:10 time: 0.4770 data_time: 0.0183 memory: 17087 grad_norm: 6.9116 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7736 loss: 0.7736 2022/08/05 16:35:03 - mmengine - INFO - Epoch(train) [240][780/1879] lr: 1.0000e-04 eta: 3:45:02 time: 0.4288 data_time: 0.0148 memory: 17087 grad_norm: 7.2381 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 1.0446 loss: 1.0446 2022/08/05 16:35:12 - mmengine - INFO - Epoch(train) [240][800/1879] lr: 1.0000e-04 eta: 3:44:53 time: 0.4317 data_time: 0.0169 memory: 17087 grad_norm: 7.1992 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7942 loss: 0.7942 2022/08/05 16:35:21 - mmengine - INFO - Epoch(train) [240][820/1879] lr: 1.0000e-04 eta: 3:44:45 time: 0.4700 data_time: 0.0186 memory: 17087 grad_norm: 7.1010 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9551 loss: 0.9551 2022/08/05 16:35:30 - mmengine - INFO - Epoch(train) [240][840/1879] lr: 1.0000e-04 eta: 3:44:36 time: 0.4319 data_time: 0.0171 memory: 17087 grad_norm: 7.1057 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6920 loss: 0.6920 2022/08/05 16:35:39 - mmengine - INFO - Epoch(train) [240][860/1879] lr: 1.0000e-04 eta: 3:44:27 time: 0.4697 data_time: 0.0214 memory: 17087 grad_norm: 7.2317 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7569 loss: 0.7569 2022/08/05 16:35:48 - mmengine - INFO - Epoch(train) [240][880/1879] lr: 1.0000e-04 eta: 3:44:19 time: 0.4330 data_time: 0.0180 memory: 17087 grad_norm: 7.3102 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9205 loss: 0.9205 2022/08/05 16:35:57 - mmengine - INFO - Epoch(train) [240][900/1879] lr: 1.0000e-04 eta: 3:44:10 time: 0.4352 data_time: 0.0173 memory: 17087 grad_norm: 7.1877 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8401 loss: 0.8401 2022/08/05 16:36:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 16:36:05 - mmengine - INFO - Epoch(train) [240][920/1879] lr: 1.0000e-04 eta: 3:44:01 time: 0.4325 data_time: 0.0179 memory: 17087 grad_norm: 7.1337 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6656 loss: 0.6656 2022/08/05 16:36:15 - mmengine - INFO - Epoch(train) [240][940/1879] lr: 1.0000e-04 eta: 3:43:53 time: 0.4614 data_time: 0.0148 memory: 17087 grad_norm: 7.0521 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6710 loss: 0.6710 2022/08/05 16:36:23 - mmengine - INFO - Epoch(train) [240][960/1879] lr: 1.0000e-04 eta: 3:43:44 time: 0.4302 data_time: 0.0165 memory: 17087 grad_norm: 6.9045 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8208 loss: 0.8208 2022/08/05 16:36:32 - mmengine - INFO - Epoch(train) [240][980/1879] lr: 1.0000e-04 eta: 3:43:35 time: 0.4311 data_time: 0.0156 memory: 17087 grad_norm: 7.3272 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8086 loss: 0.8086 2022/08/05 16:36:41 - mmengine - INFO - Epoch(train) [240][1000/1879] lr: 1.0000e-04 eta: 3:43:27 time: 0.4654 data_time: 0.0233 memory: 17087 grad_norm: 7.1622 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9452 loss: 0.9452 2022/08/05 16:36:50 - mmengine - INFO - Epoch(train) [240][1020/1879] lr: 1.0000e-04 eta: 3:43:18 time: 0.4300 data_time: 0.0135 memory: 17087 grad_norm: 6.9833 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8958 loss: 0.8958 2022/08/05 16:36:59 - mmengine - INFO - Epoch(train) [240][1040/1879] lr: 1.0000e-04 eta: 3:43:09 time: 0.4724 data_time: 0.0238 memory: 17087 grad_norm: 7.0569 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7187 loss: 0.7187 2022/08/05 16:37:08 - mmengine - INFO - Epoch(train) [240][1060/1879] lr: 1.0000e-04 eta: 3:43:01 time: 0.4316 data_time: 0.0144 memory: 17087 grad_norm: 7.4616 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8578 loss: 0.8578 2022/08/05 16:37:17 - mmengine - INFO - Epoch(train) [240][1080/1879] lr: 1.0000e-04 eta: 3:42:52 time: 0.4727 data_time: 0.0228 memory: 17087 grad_norm: 7.0456 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0083 loss: 1.0083 2022/08/05 16:37:26 - mmengine - INFO - Epoch(train) [240][1100/1879] lr: 1.0000e-04 eta: 3:42:43 time: 0.4324 data_time: 0.0139 memory: 17087 grad_norm: 7.1980 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8870 loss: 0.8870 2022/08/05 16:37:35 - mmengine - INFO - Epoch(train) [240][1120/1879] lr: 1.0000e-04 eta: 3:42:35 time: 0.4428 data_time: 0.0248 memory: 17087 grad_norm: 7.2163 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0641 loss: 1.0641 2022/08/05 16:37:44 - mmengine - INFO - Epoch(train) [240][1140/1879] lr: 1.0000e-04 eta: 3:42:26 time: 0.4316 data_time: 0.0134 memory: 17087 grad_norm: 7.1184 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8351 loss: 0.8351 2022/08/05 16:37:52 - mmengine - INFO - Epoch(train) [240][1160/1879] lr: 1.0000e-04 eta: 3:42:17 time: 0.4356 data_time: 0.0164 memory: 17087 grad_norm: 6.8626 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7216 loss: 0.7216 2022/08/05 16:38:01 - mmengine - INFO - Epoch(train) [240][1180/1879] lr: 1.0000e-04 eta: 3:42:09 time: 0.4424 data_time: 0.0139 memory: 17087 grad_norm: 7.1159 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7887 loss: 0.7887 2022/08/05 16:38:10 - mmengine - INFO - Epoch(train) [240][1200/1879] lr: 1.0000e-04 eta: 3:42:00 time: 0.4409 data_time: 0.0174 memory: 17087 grad_norm: 6.9483 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8682 loss: 0.8682 2022/08/05 16:38:19 - mmengine - INFO - Epoch(train) [240][1220/1879] lr: 1.0000e-04 eta: 3:41:51 time: 0.4332 data_time: 0.0164 memory: 17087 grad_norm: 7.0968 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8049 loss: 0.8049 2022/08/05 16:38:28 - mmengine - INFO - Epoch(train) [240][1240/1879] lr: 1.0000e-04 eta: 3:41:43 time: 0.4573 data_time: 0.0172 memory: 17087 grad_norm: 7.1730 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8676 loss: 0.8676 2022/08/05 16:38:37 - mmengine - INFO - Epoch(train) [240][1260/1879] lr: 1.0000e-04 eta: 3:41:34 time: 0.4402 data_time: 0.0162 memory: 17087 grad_norm: 7.1696 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9606 loss: 0.9606 2022/08/05 16:38:45 - mmengine - INFO - Epoch(train) [240][1280/1879] lr: 1.0000e-04 eta: 3:41:26 time: 0.4358 data_time: 0.0193 memory: 17087 grad_norm: 7.0694 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8102 loss: 0.8102 2022/08/05 16:38:54 - mmengine - INFO - Epoch(train) [240][1300/1879] lr: 1.0000e-04 eta: 3:41:17 time: 0.4332 data_time: 0.0161 memory: 17087 grad_norm: 7.0112 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6251 loss: 0.6251 2022/08/05 16:39:03 - mmengine - INFO - Epoch(train) [240][1320/1879] lr: 1.0000e-04 eta: 3:41:08 time: 0.4308 data_time: 0.0166 memory: 17087 grad_norm: 7.4016 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8795 loss: 0.8795 2022/08/05 16:39:11 - mmengine - INFO - Epoch(train) [240][1340/1879] lr: 1.0000e-04 eta: 3:41:00 time: 0.4304 data_time: 0.0151 memory: 17087 grad_norm: 7.1945 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8098 loss: 0.8098 2022/08/05 16:39:20 - mmengine - INFO - Epoch(train) [240][1360/1879] lr: 1.0000e-04 eta: 3:40:51 time: 0.4314 data_time: 0.0171 memory: 17087 grad_norm: 7.0338 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8783 loss: 0.8783 2022/08/05 16:39:29 - mmengine - INFO - Epoch(train) [240][1380/1879] lr: 1.0000e-04 eta: 3:40:42 time: 0.4583 data_time: 0.0150 memory: 17087 grad_norm: 7.0563 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8981 loss: 0.8981 2022/08/05 16:39:38 - mmengine - INFO - Epoch(train) [240][1400/1879] lr: 1.0000e-04 eta: 3:40:34 time: 0.4345 data_time: 0.0170 memory: 17087 grad_norm: 7.2120 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6991 loss: 0.6991 2022/08/05 16:39:47 - mmengine - INFO - Epoch(train) [240][1420/1879] lr: 1.0000e-04 eta: 3:40:25 time: 0.4400 data_time: 0.0164 memory: 17087 grad_norm: 7.1962 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8579 loss: 0.8579 2022/08/05 16:39:55 - mmengine - INFO - Epoch(train) [240][1440/1879] lr: 1.0000e-04 eta: 3:40:16 time: 0.4324 data_time: 0.0170 memory: 17087 grad_norm: 7.0241 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9887 loss: 0.9887 2022/08/05 16:40:05 - mmengine - INFO - Epoch(train) [240][1460/1879] lr: 1.0000e-04 eta: 3:40:08 time: 0.4599 data_time: 0.0166 memory: 17087 grad_norm: 6.9859 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7380 loss: 0.7380 2022/08/05 16:40:13 - mmengine - INFO - Epoch(train) [240][1480/1879] lr: 1.0000e-04 eta: 3:39:59 time: 0.4308 data_time: 0.0160 memory: 17087 grad_norm: 7.0783 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7463 loss: 0.7463 2022/08/05 16:40:22 - mmengine - INFO - Epoch(train) [240][1500/1879] lr: 1.0000e-04 eta: 3:39:50 time: 0.4295 data_time: 0.0150 memory: 17087 grad_norm: 7.1485 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8255 loss: 0.8255 2022/08/05 16:40:31 - mmengine - INFO - Epoch(train) [240][1520/1879] lr: 1.0000e-04 eta: 3:39:42 time: 0.4536 data_time: 0.0158 memory: 17087 grad_norm: 6.9654 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7447 loss: 0.7447 2022/08/05 16:40:40 - mmengine - INFO - Epoch(train) [240][1540/1879] lr: 1.0000e-04 eta: 3:39:33 time: 0.4303 data_time: 0.0147 memory: 17087 grad_norm: 7.0409 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9023 loss: 0.9023 2022/08/05 16:40:49 - mmengine - INFO - Epoch(train) [240][1560/1879] lr: 1.0000e-04 eta: 3:39:24 time: 0.4464 data_time: 0.0185 memory: 17087 grad_norm: 7.1418 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.7727 loss: 0.7727 2022/08/05 16:40:57 - mmengine - INFO - Epoch(train) [240][1580/1879] lr: 1.0000e-04 eta: 3:39:16 time: 0.4300 data_time: 0.0159 memory: 17087 grad_norm: 7.1430 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8787 loss: 0.8787 2022/08/05 16:41:07 - mmengine - INFO - Epoch(train) [240][1600/1879] lr: 1.0000e-04 eta: 3:39:07 time: 0.4632 data_time: 0.0181 memory: 17087 grad_norm: 7.0661 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8775 loss: 0.8775 2022/08/05 16:41:15 - mmengine - INFO - Epoch(train) [240][1620/1879] lr: 1.0000e-04 eta: 3:38:58 time: 0.4306 data_time: 0.0170 memory: 17087 grad_norm: 7.0408 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7183 loss: 0.7183 2022/08/05 16:41:24 - mmengine - INFO - Epoch(train) [240][1640/1879] lr: 1.0000e-04 eta: 3:38:50 time: 0.4385 data_time: 0.0170 memory: 17087 grad_norm: 7.1844 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7270 loss: 0.7270 2022/08/05 16:41:33 - mmengine - INFO - Epoch(train) [240][1660/1879] lr: 1.0000e-04 eta: 3:38:41 time: 0.4424 data_time: 0.0152 memory: 17087 grad_norm: 7.1547 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7968 loss: 0.7968 2022/08/05 16:41:41 - mmengine - INFO - Epoch(train) [240][1680/1879] lr: 1.0000e-04 eta: 3:38:32 time: 0.4312 data_time: 0.0160 memory: 17087 grad_norm: 7.2731 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9683 loss: 0.9683 2022/08/05 16:41:51 - mmengine - INFO - Epoch(train) [240][1700/1879] lr: 1.0000e-04 eta: 3:38:24 time: 0.4576 data_time: 0.0146 memory: 17087 grad_norm: 7.1222 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8322 loss: 0.8322 2022/08/05 16:41:59 - mmengine - INFO - Epoch(train) [240][1720/1879] lr: 1.0000e-04 eta: 3:38:15 time: 0.4316 data_time: 0.0167 memory: 17087 grad_norm: 7.0596 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6783 loss: 0.6783 2022/08/05 16:42:08 - mmengine - INFO - Epoch(train) [240][1740/1879] lr: 1.0000e-04 eta: 3:38:06 time: 0.4481 data_time: 0.0164 memory: 17087 grad_norm: 7.2441 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6980 loss: 0.6980 2022/08/05 16:42:17 - mmengine - INFO - Epoch(train) [240][1760/1879] lr: 1.0000e-04 eta: 3:37:58 time: 0.4313 data_time: 0.0168 memory: 17087 grad_norm: 7.2212 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9714 loss: 0.9714 2022/08/05 16:42:26 - mmengine - INFO - Epoch(train) [240][1780/1879] lr: 1.0000e-04 eta: 3:37:49 time: 0.4456 data_time: 0.0168 memory: 17087 grad_norm: 7.1609 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8130 loss: 0.8130 2022/08/05 16:42:35 - mmengine - INFO - Epoch(train) [240][1800/1879] lr: 1.0000e-04 eta: 3:37:40 time: 0.4317 data_time: 0.0164 memory: 17087 grad_norm: 7.3306 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9424 loss: 0.9424 2022/08/05 16:42:43 - mmengine - INFO - Epoch(train) [240][1820/1879] lr: 1.0000e-04 eta: 3:37:32 time: 0.4312 data_time: 0.0163 memory: 17087 grad_norm: 7.2672 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9069 loss: 0.9069 2022/08/05 16:42:52 - mmengine - INFO - Epoch(train) [240][1840/1879] lr: 1.0000e-04 eta: 3:37:23 time: 0.4410 data_time: 0.0171 memory: 17087 grad_norm: 7.3134 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8986 loss: 0.8986 2022/08/05 16:43:01 - mmengine - INFO - Epoch(train) [240][1860/1879] lr: 1.0000e-04 eta: 3:37:14 time: 0.4280 data_time: 0.0150 memory: 17087 grad_norm: 7.4308 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9248 loss: 0.9248 2022/08/05 16:43:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 16:43:09 - mmengine - INFO - Epoch(train) [240][1879/1879] lr: 1.0000e-04 eta: 3:37:14 time: 0.4163 data_time: 0.0148 memory: 17087 grad_norm: 7.2025 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.7988 loss: 0.7988 2022/08/05 16:43:09 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/08/05 16:43:20 - mmengine - INFO - Epoch(val) [240][20/155] eta: 0:00:51 time: 0.3781 data_time: 0.2064 memory: 2821 2022/08/05 16:43:26 - mmengine - INFO - Epoch(val) [240][40/155] eta: 0:00:31 time: 0.2704 data_time: 0.0799 memory: 2821 2022/08/05 16:43:32 - mmengine - INFO - Epoch(val) [240][60/155] eta: 0:00:27 time: 0.2933 data_time: 0.1260 memory: 2821 2022/08/05 16:43:37 - mmengine - INFO - Epoch(val) [240][80/155] eta: 0:00:20 time: 0.2719 data_time: 0.1033 memory: 2821 2022/08/05 16:43:44 - mmengine - INFO - Epoch(val) [240][100/155] eta: 0:00:18 time: 0.3325 data_time: 0.1638 memory: 2821 2022/08/05 16:43:49 - mmengine - INFO - Epoch(val) [240][120/155] eta: 0:00:09 time: 0.2586 data_time: 0.0795 memory: 2821 2022/08/05 16:43:54 - mmengine - INFO - Epoch(val) [240][140/155] eta: 0:00:03 time: 0.2661 data_time: 0.1046 memory: 2821 2022/08/05 16:43:59 - mmengine - INFO - Epoch(val) [240][155/155] acc/top1: 0.6967 acc/top5: 0.8813 acc/mean1: 0.6966 2022/08/05 16:44:10 - mmengine - INFO - Epoch(train) [241][20/1879] lr: 1.0000e-04 eta: 3:36:57 time: 0.5720 data_time: 0.1224 memory: 17087 grad_norm: 7.2046 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7454 loss: 0.7454 2022/08/05 16:44:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 16:44:19 - mmengine - INFO - Epoch(train) [241][40/1879] lr: 1.0000e-04 eta: 3:36:49 time: 0.4633 data_time: 0.0226 memory: 17087 grad_norm: 7.1285 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8254 loss: 0.8254 2022/08/05 16:44:28 - mmengine - INFO - Epoch(train) [241][60/1879] lr: 1.0000e-04 eta: 3:36:40 time: 0.4356 data_time: 0.0170 memory: 17087 grad_norm: 6.9692 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7706 loss: 0.7706 2022/08/05 16:44:37 - mmengine - INFO - Epoch(train) [241][80/1879] lr: 1.0000e-04 eta: 3:36:31 time: 0.4507 data_time: 0.0167 memory: 17087 grad_norm: 7.2153 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8177 loss: 0.8177 2022/08/05 16:44:46 - mmengine - INFO - Epoch(train) [241][100/1879] lr: 1.0000e-04 eta: 3:36:23 time: 0.4345 data_time: 0.0160 memory: 17087 grad_norm: 7.4925 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8349 loss: 0.8349 2022/08/05 16:44:55 - mmengine - INFO - Epoch(train) [241][120/1879] lr: 1.0000e-04 eta: 3:36:14 time: 0.4604 data_time: 0.0224 memory: 17087 grad_norm: 7.2360 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7700 loss: 0.7700 2022/08/05 16:45:04 - mmengine - INFO - Epoch(train) [241][140/1879] lr: 1.0000e-04 eta: 3:36:05 time: 0.4301 data_time: 0.0154 memory: 17087 grad_norm: 7.1590 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8273 loss: 0.8273 2022/08/05 16:45:13 - mmengine - INFO - Epoch(train) [241][160/1879] lr: 1.0000e-04 eta: 3:35:57 time: 0.4420 data_time: 0.0203 memory: 17087 grad_norm: 7.1489 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8115 loss: 0.8115 2022/08/05 16:45:21 - mmengine - INFO - Epoch(train) [241][180/1879] lr: 1.0000e-04 eta: 3:35:48 time: 0.4369 data_time: 0.0165 memory: 17087 grad_norm: 7.2187 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7268 loss: 0.7268 2022/08/05 16:45:30 - mmengine - INFO - Epoch(train) [241][200/1879] lr: 1.0000e-04 eta: 3:35:39 time: 0.4420 data_time: 0.0196 memory: 17087 grad_norm: 7.2838 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6897 loss: 0.6897 2022/08/05 16:45:39 - mmengine - INFO - Epoch(train) [241][220/1879] lr: 1.0000e-04 eta: 3:35:31 time: 0.4500 data_time: 0.0156 memory: 17087 grad_norm: 7.0916 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8387 loss: 0.8387 2022/08/05 16:45:48 - mmengine - INFO - Epoch(train) [241][240/1879] lr: 1.0000e-04 eta: 3:35:22 time: 0.4494 data_time: 0.0172 memory: 17087 grad_norm: 7.1957 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.8593 loss: 0.8593 2022/08/05 16:45:57 - mmengine - INFO - Epoch(train) [241][260/1879] lr: 1.0000e-04 eta: 3:35:13 time: 0.4380 data_time: 0.0158 memory: 17087 grad_norm: 7.2775 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7668 loss: 0.7668 2022/08/05 16:46:06 - mmengine - INFO - Epoch(train) [241][280/1879] lr: 1.0000e-04 eta: 3:35:05 time: 0.4341 data_time: 0.0172 memory: 17087 grad_norm: 7.2489 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7640 loss: 0.7640 2022/08/05 16:46:14 - mmengine - INFO - Epoch(train) [241][300/1879] lr: 1.0000e-04 eta: 3:34:56 time: 0.4314 data_time: 0.0155 memory: 17087 grad_norm: 7.4179 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8998 loss: 0.8998 2022/08/05 16:46:23 - mmengine - INFO - Epoch(train) [241][320/1879] lr: 1.0000e-04 eta: 3:34:47 time: 0.4316 data_time: 0.0165 memory: 17087 grad_norm: 6.9184 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9282 loss: 0.9282 2022/08/05 16:46:32 - mmengine - INFO - Epoch(train) [241][340/1879] lr: 1.0000e-04 eta: 3:34:39 time: 0.4378 data_time: 0.0138 memory: 17087 grad_norm: 6.9689 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7899 loss: 0.7899 2022/08/05 16:46:41 - mmengine - INFO - Epoch(train) [241][360/1879] lr: 1.0000e-04 eta: 3:34:30 time: 0.4368 data_time: 0.0181 memory: 17087 grad_norm: 7.0952 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9401 loss: 0.9401 2022/08/05 16:46:49 - mmengine - INFO - Epoch(train) [241][380/1879] lr: 1.0000e-04 eta: 3:34:21 time: 0.4389 data_time: 0.0167 memory: 17087 grad_norm: 6.9127 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7059 loss: 0.7059 2022/08/05 16:46:58 - mmengine - INFO - Epoch(train) [241][400/1879] lr: 1.0000e-04 eta: 3:34:13 time: 0.4552 data_time: 0.0172 memory: 17087 grad_norm: 7.4005 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8280 loss: 0.8280 2022/08/05 16:47:07 - mmengine - INFO - Epoch(train) [241][420/1879] lr: 1.0000e-04 eta: 3:34:04 time: 0.4426 data_time: 0.0196 memory: 17087 grad_norm: 7.0757 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6442 loss: 0.6442 2022/08/05 16:47:16 - mmengine - INFO - Epoch(train) [241][440/1879] lr: 1.0000e-04 eta: 3:33:55 time: 0.4389 data_time: 0.0171 memory: 17087 grad_norm: 7.1678 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8685 loss: 0.8685 2022/08/05 16:47:25 - mmengine - INFO - Epoch(train) [241][460/1879] lr: 1.0000e-04 eta: 3:33:47 time: 0.4380 data_time: 0.0166 memory: 17087 grad_norm: 7.0384 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8071 loss: 0.8071 2022/08/05 16:47:34 - mmengine - INFO - Epoch(train) [241][480/1879] lr: 1.0000e-04 eta: 3:33:38 time: 0.4317 data_time: 0.0172 memory: 17087 grad_norm: 7.2329 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7584 loss: 0.7584 2022/08/05 16:47:42 - mmengine - INFO - Epoch(train) [241][500/1879] lr: 1.0000e-04 eta: 3:33:29 time: 0.4302 data_time: 0.0146 memory: 17087 grad_norm: 7.2467 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8396 loss: 0.8396 2022/08/05 16:47:51 - mmengine - INFO - Epoch(train) [241][520/1879] lr: 1.0000e-04 eta: 3:33:21 time: 0.4418 data_time: 0.0195 memory: 17087 grad_norm: 7.3519 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7555 loss: 0.7555 2022/08/05 16:48:00 - mmengine - INFO - Epoch(train) [241][540/1879] lr: 1.0000e-04 eta: 3:33:12 time: 0.4320 data_time: 0.0153 memory: 17087 grad_norm: 7.3704 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8829 loss: 0.8829 2022/08/05 16:48:08 - mmengine - INFO - Epoch(train) [241][560/1879] lr: 1.0000e-04 eta: 3:33:03 time: 0.4343 data_time: 0.0176 memory: 17087 grad_norm: 7.0139 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7579 loss: 0.7579 2022/08/05 16:48:18 - mmengine - INFO - Epoch(train) [241][580/1879] lr: 1.0000e-04 eta: 3:32:55 time: 0.4567 data_time: 0.0145 memory: 17087 grad_norm: 7.0141 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8015 loss: 0.8015 2022/08/05 16:48:26 - mmengine - INFO - Epoch(train) [241][600/1879] lr: 1.0000e-04 eta: 3:32:46 time: 0.4318 data_time: 0.0176 memory: 17087 grad_norm: 7.4143 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9472 loss: 0.9472 2022/08/05 16:48:35 - mmengine - INFO - Epoch(train) [241][620/1879] lr: 1.0000e-04 eta: 3:32:37 time: 0.4383 data_time: 0.0212 memory: 17087 grad_norm: 6.9694 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6801 loss: 0.6801 2022/08/05 16:48:44 - mmengine - INFO - Epoch(train) [241][640/1879] lr: 1.0000e-04 eta: 3:32:29 time: 0.4306 data_time: 0.0170 memory: 17087 grad_norm: 7.3544 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8268 loss: 0.8268 2022/08/05 16:48:52 - mmengine - INFO - Epoch(train) [241][660/1879] lr: 1.0000e-04 eta: 3:32:20 time: 0.4332 data_time: 0.0157 memory: 17087 grad_norm: 6.9222 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8041 loss: 0.8041 2022/08/05 16:49:01 - mmengine - INFO - Epoch(train) [241][680/1879] lr: 1.0000e-04 eta: 3:32:11 time: 0.4332 data_time: 0.0193 memory: 17087 grad_norm: 7.0509 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8256 loss: 0.8256 2022/08/05 16:49:10 - mmengine - INFO - Epoch(train) [241][700/1879] lr: 1.0000e-04 eta: 3:32:03 time: 0.4353 data_time: 0.0149 memory: 17087 grad_norm: 7.1017 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8924 loss: 0.8924 2022/08/05 16:49:19 - mmengine - INFO - Epoch(train) [241][720/1879] lr: 1.0000e-04 eta: 3:31:54 time: 0.4666 data_time: 0.0176 memory: 17087 grad_norm: 7.4105 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9236 loss: 0.9236 2022/08/05 16:49:28 - mmengine - INFO - Epoch(train) [241][740/1879] lr: 1.0000e-04 eta: 3:31:46 time: 0.4309 data_time: 0.0145 memory: 17087 grad_norm: 7.1177 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7195 loss: 0.7195 2022/08/05 16:49:36 - mmengine - INFO - Epoch(train) [241][760/1879] lr: 1.0000e-04 eta: 3:31:37 time: 0.4320 data_time: 0.0184 memory: 17087 grad_norm: 7.6365 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7647 loss: 0.7647 2022/08/05 16:49:45 - mmengine - INFO - Epoch(train) [241][780/1879] lr: 1.0000e-04 eta: 3:31:28 time: 0.4301 data_time: 0.0153 memory: 17087 grad_norm: 6.7689 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.7285 loss: 0.7285 2022/08/05 16:49:54 - mmengine - INFO - Epoch(train) [241][800/1879] lr: 1.0000e-04 eta: 3:31:20 time: 0.4389 data_time: 0.0174 memory: 17087 grad_norm: 7.0705 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9087 loss: 0.9087 2022/08/05 16:50:03 - mmengine - INFO - Epoch(train) [241][820/1879] lr: 1.0000e-04 eta: 3:31:11 time: 0.4359 data_time: 0.0141 memory: 17087 grad_norm: 6.9735 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6537 loss: 0.6537 2022/08/05 16:50:12 - mmengine - INFO - Epoch(train) [241][840/1879] lr: 1.0000e-04 eta: 3:31:02 time: 0.4570 data_time: 0.0179 memory: 17087 grad_norm: 7.0851 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7718 loss: 0.7718 2022/08/05 16:50:20 - mmengine - INFO - Epoch(train) [241][860/1879] lr: 1.0000e-04 eta: 3:30:54 time: 0.4323 data_time: 0.0139 memory: 17087 grad_norm: 7.2190 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8750 loss: 0.8750 2022/08/05 16:50:29 - mmengine - INFO - Epoch(train) [241][880/1879] lr: 1.0000e-04 eta: 3:30:45 time: 0.4495 data_time: 0.0185 memory: 17087 grad_norm: 6.9918 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7030 loss: 0.7030 2022/08/05 16:50:38 - mmengine - INFO - Epoch(train) [241][900/1879] lr: 1.0000e-04 eta: 3:30:36 time: 0.4296 data_time: 0.0139 memory: 17087 grad_norm: 7.4307 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8634 loss: 0.8634 2022/08/05 16:50:47 - mmengine - INFO - Epoch(train) [241][920/1879] lr: 1.0000e-04 eta: 3:30:28 time: 0.4643 data_time: 0.0189 memory: 17087 grad_norm: 7.2002 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7314 loss: 0.7314 2022/08/05 16:50:56 - mmengine - INFO - Epoch(train) [241][940/1879] lr: 1.0000e-04 eta: 3:30:19 time: 0.4312 data_time: 0.0133 memory: 17087 grad_norm: 6.7950 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8117 loss: 0.8117 2022/08/05 16:51:05 - mmengine - INFO - Epoch(train) [241][960/1879] lr: 1.0000e-04 eta: 3:30:10 time: 0.4378 data_time: 0.0167 memory: 17087 grad_norm: 7.3520 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.9416 loss: 0.9416 2022/08/05 16:51:14 - mmengine - INFO - Epoch(train) [241][980/1879] lr: 1.0000e-04 eta: 3:30:02 time: 0.4522 data_time: 0.0149 memory: 17087 grad_norm: 7.2065 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7647 loss: 0.7647 2022/08/05 16:51:23 - mmengine - INFO - Epoch(train) [241][1000/1879] lr: 1.0000e-04 eta: 3:29:53 time: 0.4315 data_time: 0.0169 memory: 17087 grad_norm: 7.4058 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7396 loss: 0.7396 2022/08/05 16:51:32 - mmengine - INFO - Epoch(train) [241][1020/1879] lr: 1.0000e-04 eta: 3:29:44 time: 0.4716 data_time: 0.0171 memory: 17087 grad_norm: 7.1192 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7052 loss: 0.7052 2022/08/05 16:51:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 16:51:41 - mmengine - INFO - Epoch(train) [241][1040/1879] lr: 1.0000e-04 eta: 3:29:36 time: 0.4303 data_time: 0.0170 memory: 17087 grad_norm: 7.2135 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6927 loss: 0.6927 2022/08/05 16:51:49 - mmengine - INFO - Epoch(train) [241][1060/1879] lr: 1.0000e-04 eta: 3:29:27 time: 0.4359 data_time: 0.0172 memory: 17087 grad_norm: 7.0911 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8557 loss: 0.8557 2022/08/05 16:51:58 - mmengine - INFO - Epoch(train) [241][1080/1879] lr: 1.0000e-04 eta: 3:29:18 time: 0.4307 data_time: 0.0157 memory: 17087 grad_norm: 7.3545 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8177 loss: 0.8177 2022/08/05 16:52:07 - mmengine - INFO - Epoch(train) [241][1100/1879] lr: 1.0000e-04 eta: 3:29:10 time: 0.4366 data_time: 0.0157 memory: 17087 grad_norm: 7.4005 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9070 loss: 0.9070 2022/08/05 16:52:15 - mmengine - INFO - Epoch(train) [241][1120/1879] lr: 1.0000e-04 eta: 3:29:01 time: 0.4321 data_time: 0.0185 memory: 17087 grad_norm: 7.1304 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6965 loss: 0.6965 2022/08/05 16:52:24 - mmengine - INFO - Epoch(train) [241][1140/1879] lr: 1.0000e-04 eta: 3:28:52 time: 0.4310 data_time: 0.0147 memory: 17087 grad_norm: 7.2754 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9007 loss: 0.9007 2022/08/05 16:52:33 - mmengine - INFO - Epoch(train) [241][1160/1879] lr: 1.0000e-04 eta: 3:28:44 time: 0.4455 data_time: 0.0203 memory: 17087 grad_norm: 7.1890 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7686 loss: 0.7686 2022/08/05 16:52:42 - mmengine - INFO - Epoch(train) [241][1180/1879] lr: 1.0000e-04 eta: 3:28:35 time: 0.4293 data_time: 0.0140 memory: 17087 grad_norm: 7.1623 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9538 loss: 0.9538 2022/08/05 16:52:51 - mmengine - INFO - Epoch(train) [241][1200/1879] lr: 1.0000e-04 eta: 3:28:26 time: 0.4693 data_time: 0.0172 memory: 17087 grad_norm: 7.0995 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9347 loss: 0.9347 2022/08/05 16:53:00 - mmengine - INFO - Epoch(train) [241][1220/1879] lr: 1.0000e-04 eta: 3:28:18 time: 0.4334 data_time: 0.0175 memory: 17087 grad_norm: 7.2807 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8901 loss: 0.8901 2022/08/05 16:53:09 - mmengine - INFO - Epoch(train) [241][1240/1879] lr: 1.0000e-04 eta: 3:28:09 time: 0.4651 data_time: 0.0171 memory: 17087 grad_norm: 7.2035 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7994 loss: 0.7994 2022/08/05 16:53:18 - mmengine - INFO - Epoch(train) [241][1260/1879] lr: 1.0000e-04 eta: 3:28:00 time: 0.4317 data_time: 0.0156 memory: 17087 grad_norm: 7.1552 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7438 loss: 0.7438 2022/08/05 16:53:26 - mmengine - INFO - Epoch(train) [241][1280/1879] lr: 1.0000e-04 eta: 3:27:52 time: 0.4359 data_time: 0.0191 memory: 17087 grad_norm: 7.2003 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6345 loss: 0.6345 2022/08/05 16:53:35 - mmengine - INFO - Epoch(train) [241][1300/1879] lr: 1.0000e-04 eta: 3:27:43 time: 0.4335 data_time: 0.0168 memory: 17087 grad_norm: 7.2739 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7355 loss: 0.7355 2022/08/05 16:53:44 - mmengine - INFO - Epoch(train) [241][1320/1879] lr: 1.0000e-04 eta: 3:27:34 time: 0.4301 data_time: 0.0160 memory: 17087 grad_norm: 7.0038 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9079 loss: 0.9079 2022/08/05 16:53:53 - mmengine - INFO - Epoch(train) [241][1340/1879] lr: 1.0000e-04 eta: 3:27:26 time: 0.4566 data_time: 0.0160 memory: 17087 grad_norm: 7.3237 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9237 loss: 0.9237 2022/08/05 16:54:02 - mmengine - INFO - Epoch(train) [241][1360/1879] lr: 1.0000e-04 eta: 3:27:17 time: 0.4335 data_time: 0.0174 memory: 17087 grad_norm: 7.2331 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6199 loss: 0.6199 2022/08/05 16:54:10 - mmengine - INFO - Epoch(train) [241][1380/1879] lr: 1.0000e-04 eta: 3:27:08 time: 0.4417 data_time: 0.0132 memory: 17087 grad_norm: 7.2160 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8139 loss: 0.8139 2022/08/05 16:54:19 - mmengine - INFO - Epoch(train) [241][1400/1879] lr: 1.0000e-04 eta: 3:27:00 time: 0.4332 data_time: 0.0178 memory: 17087 grad_norm: 7.4175 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9062 loss: 0.9062 2022/08/05 16:54:28 - mmengine - INFO - Epoch(train) [241][1420/1879] lr: 1.0000e-04 eta: 3:26:51 time: 0.4349 data_time: 0.0147 memory: 17087 grad_norm: 7.3976 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8840 loss: 0.8840 2022/08/05 16:54:37 - mmengine - INFO - Epoch(train) [241][1440/1879] lr: 1.0000e-04 eta: 3:26:42 time: 0.4319 data_time: 0.0170 memory: 17087 grad_norm: 7.1186 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7455 loss: 0.7455 2022/08/05 16:54:45 - mmengine - INFO - Epoch(train) [241][1460/1879] lr: 1.0000e-04 eta: 3:26:34 time: 0.4318 data_time: 0.0142 memory: 17087 grad_norm: 6.9487 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8461 loss: 0.8461 2022/08/05 16:54:54 - mmengine - INFO - Epoch(train) [241][1480/1879] lr: 1.0000e-04 eta: 3:26:25 time: 0.4391 data_time: 0.0173 memory: 17087 grad_norm: 7.3971 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9192 loss: 0.9192 2022/08/05 16:55:03 - mmengine - INFO - Epoch(train) [241][1500/1879] lr: 1.0000e-04 eta: 3:26:17 time: 0.4319 data_time: 0.0170 memory: 17087 grad_norm: 7.0186 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8087 loss: 0.8087 2022/08/05 16:55:12 - mmengine - INFO - Epoch(train) [241][1520/1879] lr: 1.0000e-04 eta: 3:26:08 time: 0.4732 data_time: 0.0176 memory: 17087 grad_norm: 6.9524 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6232 loss: 0.6232 2022/08/05 16:55:21 - mmengine - INFO - Epoch(train) [241][1540/1879] lr: 1.0000e-04 eta: 3:25:59 time: 0.4316 data_time: 0.0166 memory: 17087 grad_norm: 7.1975 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8663 loss: 0.8663 2022/08/05 16:55:30 - mmengine - INFO - Epoch(train) [241][1560/1879] lr: 1.0000e-04 eta: 3:25:51 time: 0.4403 data_time: 0.0167 memory: 17087 grad_norm: 6.9773 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8756 loss: 0.8756 2022/08/05 16:55:38 - mmengine - INFO - Epoch(train) [241][1580/1879] lr: 1.0000e-04 eta: 3:25:42 time: 0.4297 data_time: 0.0143 memory: 17087 grad_norm: 7.1185 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7622 loss: 0.7622 2022/08/05 16:55:47 - mmengine - INFO - Epoch(train) [241][1600/1879] lr: 1.0000e-04 eta: 3:25:33 time: 0.4554 data_time: 0.0190 memory: 17087 grad_norm: 7.2401 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7980 loss: 0.7980 2022/08/05 16:55:56 - mmengine - INFO - Epoch(train) [241][1620/1879] lr: 1.0000e-04 eta: 3:25:25 time: 0.4291 data_time: 0.0159 memory: 17087 grad_norm: 7.1942 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6566 loss: 0.6566 2022/08/05 16:56:05 - mmengine - INFO - Epoch(train) [241][1640/1879] lr: 1.0000e-04 eta: 3:25:16 time: 0.4318 data_time: 0.0157 memory: 17087 grad_norm: 6.8486 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8216 loss: 0.8216 2022/08/05 16:56:14 - mmengine - INFO - Epoch(train) [241][1660/1879] lr: 1.0000e-04 eta: 3:25:07 time: 0.4433 data_time: 0.0165 memory: 17087 grad_norm: 7.2813 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9662 loss: 0.9662 2022/08/05 16:56:22 - mmengine - INFO - Epoch(train) [241][1680/1879] lr: 1.0000e-04 eta: 3:24:59 time: 0.4307 data_time: 0.0168 memory: 17087 grad_norm: 7.0480 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8911 loss: 0.8911 2022/08/05 16:56:31 - mmengine - INFO - Epoch(train) [241][1700/1879] lr: 1.0000e-04 eta: 3:24:50 time: 0.4631 data_time: 0.0160 memory: 17087 grad_norm: 7.0552 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7928 loss: 0.7928 2022/08/05 16:56:40 - mmengine - INFO - Epoch(train) [241][1720/1879] lr: 1.0000e-04 eta: 3:24:41 time: 0.4321 data_time: 0.0182 memory: 17087 grad_norm: 7.0404 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7732 loss: 0.7732 2022/08/05 16:56:50 - mmengine - INFO - Epoch(train) [241][1740/1879] lr: 1.0000e-04 eta: 3:24:33 time: 0.4697 data_time: 0.0160 memory: 17087 grad_norm: 7.0239 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8990 loss: 0.8990 2022/08/05 16:56:58 - mmengine - INFO - Epoch(train) [241][1760/1879] lr: 1.0000e-04 eta: 3:24:24 time: 0.4331 data_time: 0.0173 memory: 17087 grad_norm: 7.0928 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7523 loss: 0.7523 2022/08/05 16:57:07 - mmengine - INFO - Epoch(train) [241][1780/1879] lr: 1.0000e-04 eta: 3:24:15 time: 0.4400 data_time: 0.0173 memory: 17087 grad_norm: 7.0966 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6937 loss: 0.6937 2022/08/05 16:57:16 - mmengine - INFO - Epoch(train) [241][1800/1879] lr: 1.0000e-04 eta: 3:24:07 time: 0.4325 data_time: 0.0163 memory: 17087 grad_norm: 7.2887 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9007 loss: 0.9007 2022/08/05 16:57:24 - mmengine - INFO - Epoch(train) [241][1820/1879] lr: 1.0000e-04 eta: 3:23:58 time: 0.4290 data_time: 0.0149 memory: 17087 grad_norm: 7.1709 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9118 loss: 0.9118 2022/08/05 16:57:33 - mmengine - INFO - Epoch(train) [241][1840/1879] lr: 1.0000e-04 eta: 3:23:49 time: 0.4434 data_time: 0.0168 memory: 17087 grad_norm: 7.2484 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9160 loss: 0.9160 2022/08/05 16:57:42 - mmengine - INFO - Epoch(train) [241][1860/1879] lr: 1.0000e-04 eta: 3:23:41 time: 0.4314 data_time: 0.0155 memory: 17087 grad_norm: 7.0942 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6966 loss: 0.6966 2022/08/05 16:57:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 16:57:50 - mmengine - INFO - Epoch(train) [241][1879/1879] lr: 1.0000e-04 eta: 3:23:41 time: 0.4432 data_time: 0.0188 memory: 17087 grad_norm: 7.5289 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.7208 loss: 0.7208 2022/08/05 16:58:02 - mmengine - INFO - Epoch(train) [242][20/1879] lr: 1.0000e-04 eta: 3:23:23 time: 0.5747 data_time: 0.1381 memory: 17087 grad_norm: 7.4063 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7778 loss: 0.7778 2022/08/05 16:58:11 - mmengine - INFO - Epoch(train) [242][40/1879] lr: 1.0000e-04 eta: 3:23:15 time: 0.4684 data_time: 0.0168 memory: 17087 grad_norm: 7.1825 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9625 loss: 0.9625 2022/08/05 16:58:20 - mmengine - INFO - Epoch(train) [242][60/1879] lr: 1.0000e-04 eta: 3:23:06 time: 0.4308 data_time: 0.0163 memory: 17087 grad_norm: 7.1948 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8320 loss: 0.8320 2022/08/05 16:58:29 - mmengine - INFO - Epoch(train) [242][80/1879] lr: 1.0000e-04 eta: 3:22:58 time: 0.4406 data_time: 0.0166 memory: 17087 grad_norm: 7.1038 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7378 loss: 0.7378 2022/08/05 16:58:37 - mmengine - INFO - Epoch(train) [242][100/1879] lr: 1.0000e-04 eta: 3:22:49 time: 0.4299 data_time: 0.0149 memory: 17087 grad_norm: 7.3286 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8286 loss: 0.8286 2022/08/05 16:58:46 - mmengine - INFO - Epoch(train) [242][120/1879] lr: 1.0000e-04 eta: 3:22:40 time: 0.4356 data_time: 0.0173 memory: 17087 grad_norm: 6.9853 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6248 loss: 0.6248 2022/08/05 16:58:55 - mmengine - INFO - Epoch(train) [242][140/1879] lr: 1.0000e-04 eta: 3:22:31 time: 0.4317 data_time: 0.0151 memory: 17087 grad_norm: 7.1125 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.7741 loss: 0.7741 2022/08/05 16:59:03 - mmengine - INFO - Epoch(train) [242][160/1879] lr: 1.0000e-04 eta: 3:22:23 time: 0.4304 data_time: 0.0161 memory: 17087 grad_norm: 7.3869 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8432 loss: 0.8432 2022/08/05 16:59:04 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 16:59:13 - mmengine - INFO - Epoch(train) [242][180/1879] lr: 1.0000e-04 eta: 3:22:14 time: 0.4561 data_time: 0.0148 memory: 17087 grad_norm: 7.1804 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9120 loss: 0.9120 2022/08/05 16:59:21 - mmengine - INFO - Epoch(train) [242][200/1879] lr: 1.0000e-04 eta: 3:22:06 time: 0.4326 data_time: 0.0167 memory: 17087 grad_norm: 7.4155 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7707 loss: 0.7707 2022/08/05 16:59:30 - mmengine - INFO - Epoch(train) [242][220/1879] lr: 1.0000e-04 eta: 3:21:57 time: 0.4529 data_time: 0.0181 memory: 17087 grad_norm: 6.9651 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 1.0084 loss: 1.0084 2022/08/05 16:59:39 - mmengine - INFO - Epoch(train) [242][240/1879] lr: 1.0000e-04 eta: 3:21:48 time: 0.4327 data_time: 0.0177 memory: 17087 grad_norm: 7.2546 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8868 loss: 0.8868 2022/08/05 16:59:48 - mmengine - INFO - Epoch(train) [242][260/1879] lr: 1.0000e-04 eta: 3:21:40 time: 0.4570 data_time: 0.0186 memory: 17087 grad_norm: 7.1208 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7056 loss: 0.7056 2022/08/05 16:59:57 - mmengine - INFO - Epoch(train) [242][280/1879] lr: 1.0000e-04 eta: 3:21:31 time: 0.4314 data_time: 0.0176 memory: 17087 grad_norm: 7.2027 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8135 loss: 0.8135 2022/08/05 17:00:05 - mmengine - INFO - Epoch(train) [242][300/1879] lr: 1.0000e-04 eta: 3:21:22 time: 0.4331 data_time: 0.0172 memory: 17087 grad_norm: 7.2930 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8118 loss: 0.8118 2022/08/05 17:00:14 - mmengine - INFO - Epoch(train) [242][320/1879] lr: 1.0000e-04 eta: 3:21:14 time: 0.4306 data_time: 0.0178 memory: 17087 grad_norm: 7.2017 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9461 loss: 0.9461 2022/08/05 17:00:23 - mmengine - INFO - Epoch(train) [242][340/1879] lr: 1.0000e-04 eta: 3:21:05 time: 0.4354 data_time: 0.0143 memory: 17087 grad_norm: 7.3493 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6530 loss: 0.6530 2022/08/05 17:00:31 - mmengine - INFO - Epoch(train) [242][360/1879] lr: 1.0000e-04 eta: 3:20:56 time: 0.4318 data_time: 0.0174 memory: 17087 grad_norm: 7.2947 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8385 loss: 0.8385 2022/08/05 17:00:40 - mmengine - INFO - Epoch(train) [242][380/1879] lr: 1.0000e-04 eta: 3:20:48 time: 0.4344 data_time: 0.0166 memory: 17087 grad_norm: 7.2330 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6989 loss: 0.6989 2022/08/05 17:00:49 - mmengine - INFO - Epoch(train) [242][400/1879] lr: 1.0000e-04 eta: 3:20:39 time: 0.4330 data_time: 0.0166 memory: 17087 grad_norm: 7.4731 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6548 loss: 0.6548 2022/08/05 17:00:58 - mmengine - INFO - Epoch(train) [242][420/1879] lr: 1.0000e-04 eta: 3:20:30 time: 0.4392 data_time: 0.0157 memory: 17087 grad_norm: 7.1878 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.6799 loss: 0.6799 2022/08/05 17:01:06 - mmengine - INFO - Epoch(train) [242][440/1879] lr: 1.0000e-04 eta: 3:20:22 time: 0.4325 data_time: 0.0172 memory: 17087 grad_norm: 7.1701 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7340 loss: 0.7340 2022/08/05 17:01:15 - mmengine - INFO - Epoch(train) [242][460/1879] lr: 1.0000e-04 eta: 3:20:13 time: 0.4315 data_time: 0.0155 memory: 17087 grad_norm: 6.8964 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7170 loss: 0.7170 2022/08/05 17:01:25 - mmengine - INFO - Epoch(train) [242][480/1879] lr: 1.0000e-04 eta: 3:20:04 time: 0.4761 data_time: 0.0185 memory: 17087 grad_norm: 6.8803 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6921 loss: 0.6921 2022/08/05 17:01:33 - mmengine - INFO - Epoch(train) [242][500/1879] lr: 1.0000e-04 eta: 3:19:56 time: 0.4312 data_time: 0.0154 memory: 17087 grad_norm: 7.3130 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8466 loss: 0.8466 2022/08/05 17:01:42 - mmengine - INFO - Epoch(train) [242][520/1879] lr: 1.0000e-04 eta: 3:19:47 time: 0.4335 data_time: 0.0188 memory: 17087 grad_norm: 7.4834 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7568 loss: 0.7568 2022/08/05 17:01:51 - mmengine - INFO - Epoch(train) [242][540/1879] lr: 1.0000e-04 eta: 3:19:38 time: 0.4303 data_time: 0.0150 memory: 17087 grad_norm: 7.1996 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7473 loss: 0.7473 2022/08/05 17:02:00 - mmengine - INFO - Epoch(train) [242][560/1879] lr: 1.0000e-04 eta: 3:19:30 time: 0.4491 data_time: 0.0191 memory: 17087 grad_norm: 7.4206 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8827 loss: 0.8827 2022/08/05 17:02:08 - mmengine - INFO - Epoch(train) [242][580/1879] lr: 1.0000e-04 eta: 3:19:21 time: 0.4334 data_time: 0.0152 memory: 17087 grad_norm: 7.1608 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9021 loss: 0.9021 2022/08/05 17:02:17 - mmengine - INFO - Epoch(train) [242][600/1879] lr: 1.0000e-04 eta: 3:19:12 time: 0.4570 data_time: 0.0189 memory: 17087 grad_norm: 6.9925 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7892 loss: 0.7892 2022/08/05 17:02:26 - mmengine - INFO - Epoch(train) [242][620/1879] lr: 1.0000e-04 eta: 3:19:04 time: 0.4314 data_time: 0.0152 memory: 17087 grad_norm: 7.3358 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7726 loss: 0.7726 2022/08/05 17:02:35 - mmengine - INFO - Epoch(train) [242][640/1879] lr: 1.0000e-04 eta: 3:18:55 time: 0.4307 data_time: 0.0161 memory: 17087 grad_norm: 7.0380 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7862 loss: 0.7862 2022/08/05 17:02:44 - mmengine - INFO - Epoch(train) [242][660/1879] lr: 1.0000e-04 eta: 3:18:46 time: 0.4466 data_time: 0.0180 memory: 17087 grad_norm: 7.2721 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8407 loss: 0.8407 2022/08/05 17:02:52 - mmengine - INFO - Epoch(train) [242][680/1879] lr: 1.0000e-04 eta: 3:18:38 time: 0.4334 data_time: 0.0175 memory: 17087 grad_norm: 7.2055 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7520 loss: 0.7520 2022/08/05 17:03:01 - mmengine - INFO - Epoch(train) [242][700/1879] lr: 1.0000e-04 eta: 3:18:29 time: 0.4539 data_time: 0.0144 memory: 17087 grad_norm: 7.2056 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8063 loss: 0.8063 2022/08/05 17:03:10 - mmengine - INFO - Epoch(train) [242][720/1879] lr: 1.0000e-04 eta: 3:18:20 time: 0.4343 data_time: 0.0169 memory: 17087 grad_norm: 7.1634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8180 loss: 0.8180 2022/08/05 17:03:19 - mmengine - INFO - Epoch(train) [242][740/1879] lr: 1.0000e-04 eta: 3:18:12 time: 0.4354 data_time: 0.0178 memory: 17087 grad_norm: 7.3376 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0125 loss: 1.0125 2022/08/05 17:03:28 - mmengine - INFO - Epoch(train) [242][760/1879] lr: 1.0000e-04 eta: 3:18:03 time: 0.4340 data_time: 0.0171 memory: 17087 grad_norm: 7.1635 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9022 loss: 0.9022 2022/08/05 17:03:37 - mmengine - INFO - Epoch(train) [242][780/1879] lr: 1.0000e-04 eta: 3:17:54 time: 0.4602 data_time: 0.0154 memory: 17087 grad_norm: 7.0128 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6986 loss: 0.6986 2022/08/05 17:03:45 - mmengine - INFO - Epoch(train) [242][800/1879] lr: 1.0000e-04 eta: 3:17:46 time: 0.4316 data_time: 0.0158 memory: 17087 grad_norm: 7.0775 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7704 loss: 0.7704 2022/08/05 17:03:54 - mmengine - INFO - Epoch(train) [242][820/1879] lr: 1.0000e-04 eta: 3:17:37 time: 0.4290 data_time: 0.0158 memory: 17087 grad_norm: 7.1017 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7804 loss: 0.7804 2022/08/05 17:04:03 - mmengine - INFO - Epoch(train) [242][840/1879] lr: 1.0000e-04 eta: 3:17:28 time: 0.4346 data_time: 0.0182 memory: 17087 grad_norm: 7.1032 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7466 loss: 0.7466 2022/08/05 17:04:11 - mmengine - INFO - Epoch(train) [242][860/1879] lr: 1.0000e-04 eta: 3:17:20 time: 0.4307 data_time: 0.0145 memory: 17087 grad_norm: 7.1231 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7901 loss: 0.7901 2022/08/05 17:04:20 - mmengine - INFO - Epoch(train) [242][880/1879] lr: 1.0000e-04 eta: 3:17:11 time: 0.4379 data_time: 0.0177 memory: 17087 grad_norm: 7.2067 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7949 loss: 0.7949 2022/08/05 17:04:29 - mmengine - INFO - Epoch(train) [242][900/1879] lr: 1.0000e-04 eta: 3:17:02 time: 0.4314 data_time: 0.0155 memory: 17087 grad_norm: 7.1618 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7728 loss: 0.7728 2022/08/05 17:04:38 - mmengine - INFO - Epoch(train) [242][920/1879] lr: 1.0000e-04 eta: 3:16:54 time: 0.4368 data_time: 0.0187 memory: 17087 grad_norm: 6.8987 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7292 loss: 0.7292 2022/08/05 17:04:46 - mmengine - INFO - Epoch(train) [242][940/1879] lr: 1.0000e-04 eta: 3:16:45 time: 0.4427 data_time: 0.0144 memory: 17087 grad_norm: 7.4511 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7358 loss: 0.7358 2022/08/05 17:04:55 - mmengine - INFO - Epoch(train) [242][960/1879] lr: 1.0000e-04 eta: 3:16:36 time: 0.4316 data_time: 0.0167 memory: 17087 grad_norm: 7.0403 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8540 loss: 0.8540 2022/08/05 17:05:04 - mmengine - INFO - Epoch(train) [242][980/1879] lr: 1.0000e-04 eta: 3:16:28 time: 0.4302 data_time: 0.0138 memory: 17087 grad_norm: 7.3316 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8131 loss: 0.8131 2022/08/05 17:05:12 - mmengine - INFO - Epoch(train) [242][1000/1879] lr: 1.0000e-04 eta: 3:16:19 time: 0.4363 data_time: 0.0186 memory: 17087 grad_norm: 7.3076 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9120 loss: 0.9120 2022/08/05 17:05:21 - mmengine - INFO - Epoch(train) [242][1020/1879] lr: 1.0000e-04 eta: 3:16:10 time: 0.4305 data_time: 0.0156 memory: 17087 grad_norm: 7.3111 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7655 loss: 0.7655 2022/08/05 17:05:30 - mmengine - INFO - Epoch(train) [242][1040/1879] lr: 1.0000e-04 eta: 3:16:02 time: 0.4575 data_time: 0.0179 memory: 17087 grad_norm: 7.0801 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8712 loss: 0.8712 2022/08/05 17:05:39 - mmengine - INFO - Epoch(train) [242][1060/1879] lr: 1.0000e-04 eta: 3:15:53 time: 0.4443 data_time: 0.0188 memory: 17087 grad_norm: 7.0498 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8915 loss: 0.8915 2022/08/05 17:05:48 - mmengine - INFO - Epoch(train) [242][1080/1879] lr: 1.0000e-04 eta: 3:15:45 time: 0.4571 data_time: 0.0188 memory: 17087 grad_norm: 7.2889 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8078 loss: 0.8078 2022/08/05 17:05:57 - mmengine - INFO - Epoch(train) [242][1100/1879] lr: 1.0000e-04 eta: 3:15:36 time: 0.4445 data_time: 0.0195 memory: 17087 grad_norm: 7.3685 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8972 loss: 0.8972 2022/08/05 17:06:06 - mmengine - INFO - Epoch(train) [242][1120/1879] lr: 1.0000e-04 eta: 3:15:27 time: 0.4335 data_time: 0.0166 memory: 17087 grad_norm: 7.3241 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8779 loss: 0.8779 2022/08/05 17:06:15 - mmengine - INFO - Epoch(train) [242][1140/1879] lr: 1.0000e-04 eta: 3:15:19 time: 0.4541 data_time: 0.0168 memory: 17087 grad_norm: 7.0241 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7491 loss: 0.7491 2022/08/05 17:06:24 - mmengine - INFO - Epoch(train) [242][1160/1879] lr: 1.0000e-04 eta: 3:15:10 time: 0.4418 data_time: 0.0221 memory: 17087 grad_norm: 7.3700 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6960 loss: 0.6960 2022/08/05 17:06:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 17:06:33 - mmengine - INFO - Epoch(train) [242][1180/1879] lr: 1.0000e-04 eta: 3:15:01 time: 0.4333 data_time: 0.0160 memory: 17087 grad_norm: 7.0435 top1_acc: 0.6875 top5_acc: 0.6875 loss_cls: 0.7545 loss: 0.7545 2022/08/05 17:06:42 - mmengine - INFO - Epoch(train) [242][1200/1879] lr: 1.0000e-04 eta: 3:14:53 time: 0.4645 data_time: 0.0175 memory: 17087 grad_norm: 7.1263 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9730 loss: 0.9730 2022/08/05 17:06:51 - mmengine - INFO - Epoch(train) [242][1220/1879] lr: 1.0000e-04 eta: 3:14:44 time: 0.4338 data_time: 0.0174 memory: 17087 grad_norm: 7.3255 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6693 loss: 0.6693 2022/08/05 17:07:00 - mmengine - INFO - Epoch(train) [242][1240/1879] lr: 1.0000e-04 eta: 3:14:35 time: 0.4636 data_time: 0.0163 memory: 17087 grad_norm: 6.9758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7739 loss: 0.7739 2022/08/05 17:07:09 - mmengine - INFO - Epoch(train) [242][1260/1879] lr: 1.0000e-04 eta: 3:14:27 time: 0.4313 data_time: 0.0152 memory: 17087 grad_norm: 7.3512 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9225 loss: 0.9225 2022/08/05 17:07:18 - mmengine - INFO - Epoch(train) [242][1280/1879] lr: 1.0000e-04 eta: 3:14:18 time: 0.4518 data_time: 0.0196 memory: 17087 grad_norm: 7.1273 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9141 loss: 0.9141 2022/08/05 17:07:26 - mmengine - INFO - Epoch(train) [242][1300/1879] lr: 1.0000e-04 eta: 3:14:09 time: 0.4309 data_time: 0.0154 memory: 17087 grad_norm: 7.1743 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8896 loss: 0.8896 2022/08/05 17:07:35 - mmengine - INFO - Epoch(train) [242][1320/1879] lr: 1.0000e-04 eta: 3:14:01 time: 0.4311 data_time: 0.0162 memory: 17087 grad_norm: 7.2178 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7192 loss: 0.7192 2022/08/05 17:07:44 - mmengine - INFO - Epoch(train) [242][1340/1879] lr: 1.0000e-04 eta: 3:13:52 time: 0.4547 data_time: 0.0160 memory: 17087 grad_norm: 7.1068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9101 loss: 0.9101 2022/08/05 17:07:53 - mmengine - INFO - Epoch(train) [242][1360/1879] lr: 1.0000e-04 eta: 3:13:43 time: 0.4324 data_time: 0.0170 memory: 17087 grad_norm: 7.0745 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7417 loss: 0.7417 2022/08/05 17:08:02 - mmengine - INFO - Epoch(train) [242][1380/1879] lr: 1.0000e-04 eta: 3:13:35 time: 0.4414 data_time: 0.0199 memory: 17087 grad_norm: 7.1461 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8923 loss: 0.8923 2022/08/05 17:08:10 - mmengine - INFO - Epoch(train) [242][1400/1879] lr: 1.0000e-04 eta: 3:13:26 time: 0.4326 data_time: 0.0173 memory: 17087 grad_norm: 7.1828 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9556 loss: 0.9556 2022/08/05 17:08:19 - mmengine - INFO - Epoch(train) [242][1420/1879] lr: 1.0000e-04 eta: 3:13:17 time: 0.4601 data_time: 0.0179 memory: 17087 grad_norm: 7.3359 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7649 loss: 0.7649 2022/08/05 17:08:28 - mmengine - INFO - Epoch(train) [242][1440/1879] lr: 1.0000e-04 eta: 3:13:09 time: 0.4324 data_time: 0.0180 memory: 17087 grad_norm: 7.3775 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8473 loss: 0.8473 2022/08/05 17:08:37 - mmengine - INFO - Epoch(train) [242][1460/1879] lr: 1.0000e-04 eta: 3:13:00 time: 0.4474 data_time: 0.0171 memory: 17087 grad_norm: 7.1350 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8833 loss: 0.8833 2022/08/05 17:08:46 - mmengine - INFO - Epoch(train) [242][1480/1879] lr: 1.0000e-04 eta: 3:12:51 time: 0.4305 data_time: 0.0168 memory: 17087 grad_norm: 7.2479 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6719 loss: 0.6719 2022/08/05 17:08:54 - mmengine - INFO - Epoch(train) [242][1500/1879] lr: 1.0000e-04 eta: 3:12:43 time: 0.4314 data_time: 0.0153 memory: 17087 grad_norm: 7.4629 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8124 loss: 0.8124 2022/08/05 17:09:03 - mmengine - INFO - Epoch(train) [242][1520/1879] lr: 1.0000e-04 eta: 3:12:34 time: 0.4465 data_time: 0.0187 memory: 17087 grad_norm: 7.0952 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9441 loss: 0.9441 2022/08/05 17:09:12 - mmengine - INFO - Epoch(train) [242][1540/1879] lr: 1.0000e-04 eta: 3:12:25 time: 0.4330 data_time: 0.0169 memory: 17087 grad_norm: 6.9886 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8253 loss: 0.8253 2022/08/05 17:09:21 - mmengine - INFO - Epoch(train) [242][1560/1879] lr: 1.0000e-04 eta: 3:12:17 time: 0.4637 data_time: 0.0179 memory: 17087 grad_norm: 7.1948 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6734 loss: 0.6734 2022/08/05 17:09:30 - mmengine - INFO - Epoch(train) [242][1580/1879] lr: 1.0000e-04 eta: 3:12:08 time: 0.4317 data_time: 0.0154 memory: 17087 grad_norm: 7.5427 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7738 loss: 0.7738 2022/08/05 17:09:39 - mmengine - INFO - Epoch(train) [242][1600/1879] lr: 1.0000e-04 eta: 3:11:59 time: 0.4467 data_time: 0.0181 memory: 17087 grad_norm: 6.9310 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7070 loss: 0.7070 2022/08/05 17:09:48 - mmengine - INFO - Epoch(train) [242][1620/1879] lr: 1.0000e-04 eta: 3:11:51 time: 0.4307 data_time: 0.0139 memory: 17087 grad_norm: 7.1631 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9459 loss: 0.9459 2022/08/05 17:09:56 - mmengine - INFO - Epoch(train) [242][1640/1879] lr: 1.0000e-04 eta: 3:11:42 time: 0.4347 data_time: 0.0181 memory: 17087 grad_norm: 7.1327 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6835 loss: 0.6835 2022/08/05 17:10:05 - mmengine - INFO - Epoch(train) [242][1660/1879] lr: 1.0000e-04 eta: 3:11:33 time: 0.4308 data_time: 0.0162 memory: 17087 grad_norm: 7.3167 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8570 loss: 0.8570 2022/08/05 17:10:14 - mmengine - INFO - Epoch(train) [242][1680/1879] lr: 1.0000e-04 eta: 3:11:25 time: 0.4589 data_time: 0.0174 memory: 17087 grad_norm: 7.3440 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7782 loss: 0.7782 2022/08/05 17:10:23 - mmengine - INFO - Epoch(train) [242][1700/1879] lr: 1.0000e-04 eta: 3:11:16 time: 0.4306 data_time: 0.0150 memory: 17087 grad_norm: 6.9008 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9497 loss: 0.9497 2022/08/05 17:10:32 - mmengine - INFO - Epoch(train) [242][1720/1879] lr: 1.0000e-04 eta: 3:11:07 time: 0.4422 data_time: 0.0200 memory: 17087 grad_norm: 7.2123 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9127 loss: 0.9127 2022/08/05 17:10:40 - mmengine - INFO - Epoch(train) [242][1740/1879] lr: 1.0000e-04 eta: 3:10:59 time: 0.4290 data_time: 0.0142 memory: 17087 grad_norm: 7.0125 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6499 loss: 0.6499 2022/08/05 17:10:49 - mmengine - INFO - Epoch(train) [242][1760/1879] lr: 1.0000e-04 eta: 3:10:50 time: 0.4351 data_time: 0.0174 memory: 17087 grad_norm: 7.0523 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8841 loss: 0.8841 2022/08/05 17:10:58 - mmengine - INFO - Epoch(train) [242][1780/1879] lr: 1.0000e-04 eta: 3:10:41 time: 0.4307 data_time: 0.0153 memory: 17087 grad_norm: 7.0798 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9490 loss: 0.9490 2022/08/05 17:11:06 - mmengine - INFO - Epoch(train) [242][1800/1879] lr: 1.0000e-04 eta: 3:10:33 time: 0.4333 data_time: 0.0182 memory: 17087 grad_norm: 6.8879 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8143 loss: 0.8143 2022/08/05 17:11:15 - mmengine - INFO - Epoch(train) [242][1820/1879] lr: 1.0000e-04 eta: 3:10:24 time: 0.4317 data_time: 0.0132 memory: 17087 grad_norm: 7.2131 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7955 loss: 0.7955 2022/08/05 17:11:24 - mmengine - INFO - Epoch(train) [242][1840/1879] lr: 1.0000e-04 eta: 3:10:15 time: 0.4390 data_time: 0.0220 memory: 17087 grad_norm: 7.1746 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8947 loss: 0.8947 2022/08/05 17:11:32 - mmengine - INFO - Epoch(train) [242][1860/1879] lr: 1.0000e-04 eta: 3:10:07 time: 0.4316 data_time: 0.0142 memory: 17087 grad_norm: 7.1212 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8001 loss: 0.8001 2022/08/05 17:11:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 17:11:41 - mmengine - INFO - Epoch(train) [242][1879/1879] lr: 1.0000e-04 eta: 3:10:07 time: 0.4331 data_time: 0.0176 memory: 17087 grad_norm: 7.2148 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8159 loss: 0.8159 2022/08/05 17:11:53 - mmengine - INFO - Epoch(train) [243][20/1879] lr: 1.0000e-04 eta: 3:09:50 time: 0.5994 data_time: 0.1740 memory: 17087 grad_norm: 7.2863 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8148 loss: 0.8148 2022/08/05 17:12:02 - mmengine - INFO - Epoch(train) [243][40/1879] lr: 1.0000e-04 eta: 3:09:41 time: 0.4512 data_time: 0.0216 memory: 17087 grad_norm: 7.1239 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6235 loss: 0.6235 2022/08/05 17:12:10 - mmengine - INFO - Epoch(train) [243][60/1879] lr: 1.0000e-04 eta: 3:09:32 time: 0.4321 data_time: 0.0182 memory: 17087 grad_norm: 7.0516 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8579 loss: 0.8579 2022/08/05 17:12:20 - mmengine - INFO - Epoch(train) [243][80/1879] lr: 1.0000e-04 eta: 3:09:24 time: 0.4754 data_time: 0.0196 memory: 17087 grad_norm: 7.1397 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8747 loss: 0.8747 2022/08/05 17:12:29 - mmengine - INFO - Epoch(train) [243][100/1879] lr: 1.0000e-04 eta: 3:09:15 time: 0.4316 data_time: 0.0142 memory: 17087 grad_norm: 7.1574 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7688 loss: 0.7688 2022/08/05 17:12:37 - mmengine - INFO - Epoch(train) [243][120/1879] lr: 1.0000e-04 eta: 3:09:06 time: 0.4393 data_time: 0.0219 memory: 17087 grad_norm: 7.3796 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7695 loss: 0.7695 2022/08/05 17:12:46 - mmengine - INFO - Epoch(train) [243][140/1879] lr: 1.0000e-04 eta: 3:08:58 time: 0.4306 data_time: 0.0144 memory: 17087 grad_norm: 6.9312 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7781 loss: 0.7781 2022/08/05 17:12:55 - mmengine - INFO - Epoch(train) [243][160/1879] lr: 1.0000e-04 eta: 3:08:49 time: 0.4297 data_time: 0.0158 memory: 17087 grad_norm: 7.0881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7456 loss: 0.7456 2022/08/05 17:13:04 - mmengine - INFO - Epoch(train) [243][180/1879] lr: 1.0000e-04 eta: 3:08:40 time: 0.4612 data_time: 0.0161 memory: 17087 grad_norm: 7.0301 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9170 loss: 0.9170 2022/08/05 17:13:13 - mmengine - INFO - Epoch(train) [243][200/1879] lr: 1.0000e-04 eta: 3:08:32 time: 0.4348 data_time: 0.0175 memory: 17087 grad_norm: 6.9510 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9192 loss: 0.9192 2022/08/05 17:13:21 - mmengine - INFO - Epoch(train) [243][220/1879] lr: 1.0000e-04 eta: 3:08:23 time: 0.4423 data_time: 0.0191 memory: 17087 grad_norm: 7.4273 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8584 loss: 0.8584 2022/08/05 17:13:30 - mmengine - INFO - Epoch(train) [243][240/1879] lr: 1.0000e-04 eta: 3:08:14 time: 0.4342 data_time: 0.0164 memory: 17087 grad_norm: 6.8579 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8034 loss: 0.8034 2022/08/05 17:13:39 - mmengine - INFO - Epoch(train) [243][260/1879] lr: 1.0000e-04 eta: 3:08:06 time: 0.4506 data_time: 0.0135 memory: 17087 grad_norm: 7.0560 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9526 loss: 0.9526 2022/08/05 17:13:48 - mmengine - INFO - Epoch(train) [243][280/1879] lr: 1.0000e-04 eta: 3:07:57 time: 0.4413 data_time: 0.0196 memory: 17087 grad_norm: 7.4570 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8931 loss: 0.8931 2022/08/05 17:13:49 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 17:13:57 - mmengine - INFO - Epoch(train) [243][300/1879] lr: 1.0000e-04 eta: 3:07:48 time: 0.4320 data_time: 0.0144 memory: 17087 grad_norm: 7.2452 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7832 loss: 0.7832 2022/08/05 17:14:05 - mmengine - INFO - Epoch(train) [243][320/1879] lr: 1.0000e-04 eta: 3:07:40 time: 0.4310 data_time: 0.0169 memory: 17087 grad_norm: 7.2029 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8922 loss: 0.8922 2022/08/05 17:14:14 - mmengine - INFO - Epoch(train) [243][340/1879] lr: 1.0000e-04 eta: 3:07:31 time: 0.4492 data_time: 0.0158 memory: 17087 grad_norm: 7.1543 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8132 loss: 0.8132 2022/08/05 17:14:23 - mmengine - INFO - Epoch(train) [243][360/1879] lr: 1.0000e-04 eta: 3:07:22 time: 0.4340 data_time: 0.0175 memory: 17087 grad_norm: 7.1710 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7856 loss: 0.7856 2022/08/05 17:14:32 - mmengine - INFO - Epoch(train) [243][380/1879] lr: 1.0000e-04 eta: 3:07:14 time: 0.4657 data_time: 0.0175 memory: 17087 grad_norm: 6.9719 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8357 loss: 0.8357 2022/08/05 17:14:41 - mmengine - INFO - Epoch(train) [243][400/1879] lr: 1.0000e-04 eta: 3:07:05 time: 0.4333 data_time: 0.0177 memory: 17087 grad_norm: 7.1876 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7935 loss: 0.7935 2022/08/05 17:14:50 - mmengine - INFO - Epoch(train) [243][420/1879] lr: 1.0000e-04 eta: 3:06:57 time: 0.4541 data_time: 0.0162 memory: 17087 grad_norm: 6.9485 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7874 loss: 0.7874 2022/08/05 17:14:59 - mmengine - INFO - Epoch(train) [243][440/1879] lr: 1.0000e-04 eta: 3:06:48 time: 0.4325 data_time: 0.0171 memory: 17087 grad_norm: 7.1123 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8433 loss: 0.8433 2022/08/05 17:15:08 - mmengine - INFO - Epoch(train) [243][460/1879] lr: 1.0000e-04 eta: 3:06:39 time: 0.4594 data_time: 0.0179 memory: 17087 grad_norm: 7.1232 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9295 loss: 0.9295 2022/08/05 17:15:17 - mmengine - INFO - Epoch(train) [243][480/1879] lr: 1.0000e-04 eta: 3:06:31 time: 0.4331 data_time: 0.0164 memory: 17087 grad_norm: 7.2499 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6938 loss: 0.6938 2022/08/05 17:15:26 - mmengine - INFO - Epoch(train) [243][500/1879] lr: 1.0000e-04 eta: 3:06:22 time: 0.4371 data_time: 0.0163 memory: 17087 grad_norm: 7.0798 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8364 loss: 0.8364 2022/08/05 17:15:34 - mmengine - INFO - Epoch(train) [243][520/1879] lr: 1.0000e-04 eta: 3:06:13 time: 0.4331 data_time: 0.0181 memory: 17087 grad_norm: 7.2013 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8017 loss: 0.8017 2022/08/05 17:15:43 - mmengine - INFO - Epoch(train) [243][540/1879] lr: 1.0000e-04 eta: 3:06:05 time: 0.4579 data_time: 0.0154 memory: 17087 grad_norm: 7.4159 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9043 loss: 0.9043 2022/08/05 17:15:52 - mmengine - INFO - Epoch(train) [243][560/1879] lr: 1.0000e-04 eta: 3:05:56 time: 0.4317 data_time: 0.0174 memory: 17087 grad_norm: 7.3531 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8228 loss: 0.8228 2022/08/05 17:16:01 - mmengine - INFO - Epoch(train) [243][580/1879] lr: 1.0000e-04 eta: 3:05:47 time: 0.4335 data_time: 0.0169 memory: 17087 grad_norm: 7.0368 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8351 loss: 0.8351 2022/08/05 17:16:09 - mmengine - INFO - Epoch(train) [243][600/1879] lr: 1.0000e-04 eta: 3:05:39 time: 0.4312 data_time: 0.0152 memory: 17087 grad_norm: 6.8776 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6808 loss: 0.6808 2022/08/05 17:16:19 - mmengine - INFO - Epoch(train) [243][620/1879] lr: 1.0000e-04 eta: 3:05:30 time: 0.4574 data_time: 0.0161 memory: 17087 grad_norm: 7.3364 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8365 loss: 0.8365 2022/08/05 17:16:27 - mmengine - INFO - Epoch(train) [243][640/1879] lr: 1.0000e-04 eta: 3:05:21 time: 0.4311 data_time: 0.0163 memory: 17087 grad_norm: 7.5145 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8274 loss: 0.8274 2022/08/05 17:16:36 - mmengine - INFO - Epoch(train) [243][660/1879] lr: 1.0000e-04 eta: 3:05:13 time: 0.4305 data_time: 0.0149 memory: 17087 grad_norm: 7.0389 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7642 loss: 0.7642 2022/08/05 17:16:45 - mmengine - INFO - Epoch(train) [243][680/1879] lr: 1.0000e-04 eta: 3:05:04 time: 0.4438 data_time: 0.0154 memory: 17087 grad_norm: 7.7775 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6776 loss: 0.6776 2022/08/05 17:16:53 - mmengine - INFO - Epoch(train) [243][700/1879] lr: 1.0000e-04 eta: 3:04:55 time: 0.4335 data_time: 0.0169 memory: 17087 grad_norm: 7.0276 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9190 loss: 0.9190 2022/08/05 17:17:03 - mmengine - INFO - Epoch(train) [243][720/1879] lr: 1.0000e-04 eta: 3:04:47 time: 0.4621 data_time: 0.0170 memory: 17087 grad_norm: 7.1070 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8201 loss: 0.8201 2022/08/05 17:17:11 - mmengine - INFO - Epoch(train) [243][740/1879] lr: 1.0000e-04 eta: 3:04:38 time: 0.4350 data_time: 0.0152 memory: 17087 grad_norm: 7.1050 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8840 loss: 0.8840 2022/08/05 17:17:20 - mmengine - INFO - Epoch(train) [243][760/1879] lr: 1.0000e-04 eta: 3:04:29 time: 0.4334 data_time: 0.0161 memory: 17087 grad_norm: 7.3473 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7948 loss: 0.7948 2022/08/05 17:17:29 - mmengine - INFO - Epoch(train) [243][780/1879] lr: 1.0000e-04 eta: 3:04:21 time: 0.4593 data_time: 0.0169 memory: 17087 grad_norm: 6.9802 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8232 loss: 0.8232 2022/08/05 17:17:38 - mmengine - INFO - Epoch(train) [243][800/1879] lr: 1.0000e-04 eta: 3:04:12 time: 0.4302 data_time: 0.0193 memory: 17087 grad_norm: 7.0223 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7441 loss: 0.7441 2022/08/05 17:17:47 - mmengine - INFO - Epoch(train) [243][820/1879] lr: 1.0000e-04 eta: 3:04:03 time: 0.4348 data_time: 0.0223 memory: 17087 grad_norm: 7.1065 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8080 loss: 0.8080 2022/08/05 17:17:56 - mmengine - INFO - Epoch(train) [243][840/1879] lr: 1.0000e-04 eta: 3:03:55 time: 0.4398 data_time: 0.0172 memory: 17087 grad_norm: 7.0149 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7768 loss: 0.7768 2022/08/05 17:18:04 - mmengine - INFO - Epoch(train) [243][860/1879] lr: 1.0000e-04 eta: 3:03:46 time: 0.4325 data_time: 0.0137 memory: 17087 grad_norm: 7.1949 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8424 loss: 0.8424 2022/08/05 17:18:13 - mmengine - INFO - Epoch(train) [243][880/1879] lr: 1.0000e-04 eta: 3:03:37 time: 0.4376 data_time: 0.0182 memory: 17087 grad_norm: 7.4623 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9672 loss: 0.9672 2022/08/05 17:18:22 - mmengine - INFO - Epoch(train) [243][900/1879] lr: 1.0000e-04 eta: 3:03:29 time: 0.4343 data_time: 0.0143 memory: 17087 grad_norm: 7.1811 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8148 loss: 0.8148 2022/08/05 17:18:31 - mmengine - INFO - Epoch(train) [243][920/1879] lr: 1.0000e-04 eta: 3:03:20 time: 0.4536 data_time: 0.0167 memory: 17087 grad_norm: 6.9472 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7893 loss: 0.7893 2022/08/05 17:18:40 - mmengine - INFO - Epoch(train) [243][940/1879] lr: 1.0000e-04 eta: 3:03:11 time: 0.4380 data_time: 0.0191 memory: 17087 grad_norm: 7.2823 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9556 loss: 0.9556 2022/08/05 17:18:49 - mmengine - INFO - Epoch(train) [243][960/1879] lr: 1.0000e-04 eta: 3:03:03 time: 0.4634 data_time: 0.0175 memory: 17087 grad_norm: 7.1591 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8922 loss: 0.8922 2022/08/05 17:18:58 - mmengine - INFO - Epoch(train) [243][980/1879] lr: 1.0000e-04 eta: 3:02:54 time: 0.4312 data_time: 0.0161 memory: 17087 grad_norm: 7.2709 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7572 loss: 0.7572 2022/08/05 17:19:06 - mmengine - INFO - Epoch(train) [243][1000/1879] lr: 1.0000e-04 eta: 3:02:45 time: 0.4331 data_time: 0.0167 memory: 17087 grad_norm: 7.0682 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6935 loss: 0.6935 2022/08/05 17:19:15 - mmengine - INFO - Epoch(train) [243][1020/1879] lr: 1.0000e-04 eta: 3:02:37 time: 0.4337 data_time: 0.0174 memory: 17087 grad_norm: 7.2097 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9570 loss: 0.9570 2022/08/05 17:19:24 - mmengine - INFO - Epoch(train) [243][1040/1879] lr: 1.0000e-04 eta: 3:02:28 time: 0.4328 data_time: 0.0167 memory: 17087 grad_norm: 7.1834 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7528 loss: 0.7528 2022/08/05 17:19:33 - mmengine - INFO - Epoch(train) [243][1060/1879] lr: 1.0000e-04 eta: 3:02:19 time: 0.4574 data_time: 0.0177 memory: 17087 grad_norm: 7.5633 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9929 loss: 0.9929 2022/08/05 17:19:42 - mmengine - INFO - Epoch(train) [243][1080/1879] lr: 1.0000e-04 eta: 3:02:11 time: 0.4380 data_time: 0.0213 memory: 17087 grad_norm: 6.9663 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7638 loss: 0.7638 2022/08/05 17:19:50 - mmengine - INFO - Epoch(train) [243][1100/1879] lr: 1.0000e-04 eta: 3:02:02 time: 0.4468 data_time: 0.0164 memory: 17087 grad_norm: 7.0184 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9103 loss: 0.9103 2022/08/05 17:19:59 - mmengine - INFO - Epoch(train) [243][1120/1879] lr: 1.0000e-04 eta: 3:01:53 time: 0.4310 data_time: 0.0156 memory: 17087 grad_norm: 7.4273 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8203 loss: 0.8203 2022/08/05 17:20:08 - mmengine - INFO - Epoch(train) [243][1140/1879] lr: 1.0000e-04 eta: 3:01:45 time: 0.4540 data_time: 0.0148 memory: 17087 grad_norm: 7.1470 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7352 loss: 0.7352 2022/08/05 17:20:17 - mmengine - INFO - Epoch(train) [243][1160/1879] lr: 1.0000e-04 eta: 3:01:36 time: 0.4323 data_time: 0.0167 memory: 17087 grad_norm: 7.2313 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8528 loss: 0.8528 2022/08/05 17:20:26 - mmengine - INFO - Epoch(train) [243][1180/1879] lr: 1.0000e-04 eta: 3:01:27 time: 0.4323 data_time: 0.0160 memory: 17087 grad_norm: 7.1153 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8396 loss: 0.8396 2022/08/05 17:20:35 - mmengine - INFO - Epoch(train) [243][1200/1879] lr: 1.0000e-04 eta: 3:01:19 time: 0.4586 data_time: 0.0170 memory: 17087 grad_norm: 7.2471 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9300 loss: 0.9300 2022/08/05 17:20:43 - mmengine - INFO - Epoch(train) [243][1220/1879] lr: 1.0000e-04 eta: 3:01:10 time: 0.4313 data_time: 0.0180 memory: 17087 grad_norm: 7.5046 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8130 loss: 0.8130 2022/08/05 17:20:52 - mmengine - INFO - Epoch(train) [243][1240/1879] lr: 1.0000e-04 eta: 3:01:02 time: 0.4441 data_time: 0.0175 memory: 17087 grad_norm: 7.1684 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7552 loss: 0.7552 2022/08/05 17:21:01 - mmengine - INFO - Epoch(train) [243][1260/1879] lr: 1.0000e-04 eta: 3:00:53 time: 0.4293 data_time: 0.0152 memory: 17087 grad_norm: 7.2351 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9002 loss: 0.9002 2022/08/05 17:21:10 - mmengine - INFO - Epoch(train) [243][1280/1879] lr: 1.0000e-04 eta: 3:00:44 time: 0.4599 data_time: 0.0171 memory: 17087 grad_norm: 7.1900 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7911 loss: 0.7911 2022/08/05 17:21:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 17:21:19 - mmengine - INFO - Epoch(train) [243][1300/1879] lr: 1.0000e-04 eta: 3:00:36 time: 0.4309 data_time: 0.0156 memory: 17087 grad_norm: 7.1639 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8213 loss: 0.8213 2022/08/05 17:21:27 - mmengine - INFO - Epoch(train) [243][1320/1879] lr: 1.0000e-04 eta: 3:00:27 time: 0.4298 data_time: 0.0168 memory: 17087 grad_norm: 7.3126 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7655 loss: 0.7655 2022/08/05 17:21:37 - mmengine - INFO - Epoch(train) [243][1340/1879] lr: 1.0000e-04 eta: 3:00:18 time: 0.4759 data_time: 0.0179 memory: 17087 grad_norm: 6.9529 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8251 loss: 0.8251 2022/08/05 17:21:46 - mmengine - INFO - Epoch(train) [243][1360/1879] lr: 1.0000e-04 eta: 3:00:10 time: 0.4318 data_time: 0.0169 memory: 17087 grad_norm: 7.3089 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7841 loss: 0.7841 2022/08/05 17:21:54 - mmengine - INFO - Epoch(train) [243][1380/1879] lr: 1.0000e-04 eta: 3:00:01 time: 0.4393 data_time: 0.0158 memory: 17087 grad_norm: 7.2037 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6645 loss: 0.6645 2022/08/05 17:22:03 - mmengine - INFO - Epoch(train) [243][1400/1879] lr: 1.0000e-04 eta: 2:59:52 time: 0.4321 data_time: 0.0176 memory: 17087 grad_norm: 7.2672 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8675 loss: 0.8675 2022/08/05 17:22:12 - mmengine - INFO - Epoch(train) [243][1420/1879] lr: 1.0000e-04 eta: 2:59:44 time: 0.4384 data_time: 0.0169 memory: 17087 grad_norm: 7.1057 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9231 loss: 0.9231 2022/08/05 17:22:21 - mmengine - INFO - Epoch(train) [243][1440/1879] lr: 1.0000e-04 eta: 2:59:35 time: 0.4332 data_time: 0.0192 memory: 17087 grad_norm: 6.9870 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8138 loss: 0.8138 2022/08/05 17:22:29 - mmengine - INFO - Epoch(train) [243][1460/1879] lr: 1.0000e-04 eta: 2:59:26 time: 0.4313 data_time: 0.0158 memory: 17087 grad_norm: 7.3387 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8265 loss: 0.8265 2022/08/05 17:22:38 - mmengine - INFO - Epoch(train) [243][1480/1879] lr: 1.0000e-04 eta: 2:59:18 time: 0.4331 data_time: 0.0174 memory: 17087 grad_norm: 7.3317 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9838 loss: 0.9838 2022/08/05 17:22:47 - mmengine - INFO - Epoch(train) [243][1500/1879] lr: 1.0000e-04 eta: 2:59:09 time: 0.4302 data_time: 0.0159 memory: 17087 grad_norm: 7.0662 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8190 loss: 0.8190 2022/08/05 17:22:55 - mmengine - INFO - Epoch(train) [243][1520/1879] lr: 1.0000e-04 eta: 2:59:00 time: 0.4356 data_time: 0.0176 memory: 17087 grad_norm: 7.0328 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7522 loss: 0.7522 2022/08/05 17:23:04 - mmengine - INFO - Epoch(train) [243][1540/1879] lr: 1.0000e-04 eta: 2:58:52 time: 0.4309 data_time: 0.0152 memory: 17087 grad_norm: 7.3431 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7880 loss: 0.7880 2022/08/05 17:23:13 - mmengine - INFO - Epoch(train) [243][1560/1879] lr: 1.0000e-04 eta: 2:58:43 time: 0.4776 data_time: 0.0196 memory: 17087 grad_norm: 7.2941 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9201 loss: 0.9201 2022/08/05 17:23:22 - mmengine - INFO - Epoch(train) [243][1580/1879] lr: 1.0000e-04 eta: 2:58:34 time: 0.4319 data_time: 0.0157 memory: 17087 grad_norm: 7.1019 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8835 loss: 0.8835 2022/08/05 17:23:31 - mmengine - INFO - Epoch(train) [243][1600/1879] lr: 1.0000e-04 eta: 2:58:26 time: 0.4625 data_time: 0.0170 memory: 17087 grad_norm: 7.2642 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8387 loss: 0.8387 2022/08/05 17:23:40 - mmengine - INFO - Epoch(train) [243][1620/1879] lr: 1.0000e-04 eta: 2:58:17 time: 0.4324 data_time: 0.0173 memory: 17087 grad_norm: 7.1834 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8358 loss: 0.8358 2022/08/05 17:23:49 - mmengine - INFO - Epoch(train) [243][1640/1879] lr: 1.0000e-04 eta: 2:58:08 time: 0.4548 data_time: 0.0177 memory: 17087 grad_norm: 7.2758 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7043 loss: 0.7043 2022/08/05 17:23:58 - mmengine - INFO - Epoch(train) [243][1660/1879] lr: 1.0000e-04 eta: 2:58:00 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 7.3902 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7617 loss: 0.7617 2022/08/05 17:24:07 - mmengine - INFO - Epoch(train) [243][1680/1879] lr: 1.0000e-04 eta: 2:57:51 time: 0.4355 data_time: 0.0162 memory: 17087 grad_norm: 7.3429 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.7254 loss: 0.7254 2022/08/05 17:24:16 - mmengine - INFO - Epoch(train) [243][1700/1879] lr: 1.0000e-04 eta: 2:57:42 time: 0.4589 data_time: 0.0160 memory: 17087 grad_norm: 7.3186 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8289 loss: 0.8289 2022/08/05 17:24:24 - mmengine - INFO - Epoch(train) [243][1720/1879] lr: 1.0000e-04 eta: 2:57:34 time: 0.4333 data_time: 0.0170 memory: 17087 grad_norm: 7.2335 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8671 loss: 0.8671 2022/08/05 17:24:34 - mmengine - INFO - Epoch(train) [243][1740/1879] lr: 1.0000e-04 eta: 2:57:25 time: 0.4565 data_time: 0.0158 memory: 17087 grad_norm: 7.1040 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7459 loss: 0.7459 2022/08/05 17:24:42 - mmengine - INFO - Epoch(train) [243][1760/1879] lr: 1.0000e-04 eta: 2:57:16 time: 0.4341 data_time: 0.0161 memory: 17087 grad_norm: 7.2188 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8090 loss: 0.8090 2022/08/05 17:24:51 - mmengine - INFO - Epoch(train) [243][1780/1879] lr: 1.0000e-04 eta: 2:57:08 time: 0.4564 data_time: 0.0156 memory: 17087 grad_norm: 7.2562 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6392 loss: 0.6392 2022/08/05 17:25:00 - mmengine - INFO - Epoch(train) [243][1800/1879] lr: 1.0000e-04 eta: 2:56:59 time: 0.4327 data_time: 0.0160 memory: 17087 grad_norm: 7.4226 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7789 loss: 0.7789 2022/08/05 17:25:09 - mmengine - INFO - Epoch(train) [243][1820/1879] lr: 1.0000e-04 eta: 2:56:50 time: 0.4325 data_time: 0.0171 memory: 17087 grad_norm: 7.0604 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7964 loss: 0.7964 2022/08/05 17:25:17 - mmengine - INFO - Epoch(train) [243][1840/1879] lr: 1.0000e-04 eta: 2:56:42 time: 0.4318 data_time: 0.0181 memory: 17087 grad_norm: 7.3714 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9219 loss: 0.9219 2022/08/05 17:25:27 - mmengine - INFO - Epoch(train) [243][1860/1879] lr: 1.0000e-04 eta: 2:56:33 time: 0.4593 data_time: 0.0161 memory: 17087 grad_norm: 7.2790 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8779 loss: 0.8779 2022/08/05 17:25:35 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 17:25:35 - mmengine - INFO - Epoch(train) [243][1879/1879] lr: 1.0000e-04 eta: 2:56:33 time: 0.4130 data_time: 0.0151 memory: 17087 grad_norm: 7.2601 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.8008 loss: 0.8008 2022/08/05 17:25:46 - mmengine - INFO - Epoch(train) [244][20/1879] lr: 1.0000e-04 eta: 2:56:16 time: 0.5644 data_time: 0.1093 memory: 17087 grad_norm: 6.8896 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8706 loss: 0.8706 2022/08/05 17:25:55 - mmengine - INFO - Epoch(train) [244][40/1879] lr: 1.0000e-04 eta: 2:56:07 time: 0.4300 data_time: 0.0163 memory: 17087 grad_norm: 7.2330 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6348 loss: 0.6348 2022/08/05 17:26:04 - mmengine - INFO - Epoch(train) [244][60/1879] lr: 1.0000e-04 eta: 2:55:59 time: 0.4614 data_time: 0.0169 memory: 17087 grad_norm: 7.2581 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8476 loss: 0.8476 2022/08/05 17:26:13 - mmengine - INFO - Epoch(train) [244][80/1879] lr: 1.0000e-04 eta: 2:55:50 time: 0.4312 data_time: 0.0158 memory: 17087 grad_norm: 7.2114 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8314 loss: 0.8314 2022/08/05 17:26:22 - mmengine - INFO - Epoch(train) [244][100/1879] lr: 1.0000e-04 eta: 2:55:41 time: 0.4483 data_time: 0.0168 memory: 17087 grad_norm: 7.5574 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7936 loss: 0.7936 2022/08/05 17:26:30 - mmengine - INFO - Epoch(train) [244][120/1879] lr: 1.0000e-04 eta: 2:55:33 time: 0.4320 data_time: 0.0175 memory: 17087 grad_norm: 7.2603 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8122 loss: 0.8122 2022/08/05 17:26:40 - mmengine - INFO - Epoch(train) [244][140/1879] lr: 1.0000e-04 eta: 2:55:24 time: 0.4810 data_time: 0.0170 memory: 17087 grad_norm: 7.4409 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7439 loss: 0.7439 2022/08/05 17:26:48 - mmengine - INFO - Epoch(train) [244][160/1879] lr: 1.0000e-04 eta: 2:55:15 time: 0.4309 data_time: 0.0157 memory: 17087 grad_norm: 7.2049 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6495 loss: 0.6495 2022/08/05 17:26:57 - mmengine - INFO - Epoch(train) [244][180/1879] lr: 1.0000e-04 eta: 2:55:07 time: 0.4318 data_time: 0.0158 memory: 17087 grad_norm: 7.0441 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8717 loss: 0.8717 2022/08/05 17:27:06 - mmengine - INFO - Epoch(train) [244][200/1879] lr: 1.0000e-04 eta: 2:54:58 time: 0.4469 data_time: 0.0174 memory: 17087 grad_norm: 7.1312 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7738 loss: 0.7738 2022/08/05 17:27:15 - mmengine - INFO - Epoch(train) [244][220/1879] lr: 1.0000e-04 eta: 2:54:49 time: 0.4293 data_time: 0.0151 memory: 17087 grad_norm: 7.4745 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8053 loss: 0.8053 2022/08/05 17:27:24 - mmengine - INFO - Epoch(train) [244][240/1879] lr: 1.0000e-04 eta: 2:54:41 time: 0.4665 data_time: 0.0181 memory: 17087 grad_norm: 7.5264 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8145 loss: 0.8145 2022/08/05 17:27:33 - mmengine - INFO - Epoch(train) [244][260/1879] lr: 1.0000e-04 eta: 2:54:32 time: 0.4326 data_time: 0.0150 memory: 17087 grad_norm: 7.0439 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7670 loss: 0.7670 2022/08/05 17:27:42 - mmengine - INFO - Epoch(train) [244][280/1879] lr: 1.0000e-04 eta: 2:54:23 time: 0.4515 data_time: 0.0183 memory: 17087 grad_norm: 7.1561 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7171 loss: 0.7171 2022/08/05 17:27:51 - mmengine - INFO - Epoch(train) [244][300/1879] lr: 1.0000e-04 eta: 2:54:15 time: 0.4526 data_time: 0.0198 memory: 17087 grad_norm: 7.5851 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.1025 loss: 1.1025 2022/08/05 17:27:59 - mmengine - INFO - Epoch(train) [244][320/1879] lr: 1.0000e-04 eta: 2:54:06 time: 0.4301 data_time: 0.0153 memory: 17087 grad_norm: 7.2781 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9366 loss: 0.9366 2022/08/05 17:28:08 - mmengine - INFO - Epoch(train) [244][340/1879] lr: 1.0000e-04 eta: 2:53:57 time: 0.4313 data_time: 0.0161 memory: 17087 grad_norm: 7.3126 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.6672 loss: 0.6672 2022/08/05 17:28:17 - mmengine - INFO - Epoch(train) [244][360/1879] lr: 1.0000e-04 eta: 2:53:49 time: 0.4366 data_time: 0.0169 memory: 17087 grad_norm: 7.4189 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6770 loss: 0.6770 2022/08/05 17:28:26 - mmengine - INFO - Epoch(train) [244][380/1879] lr: 1.0000e-04 eta: 2:53:40 time: 0.4315 data_time: 0.0144 memory: 17087 grad_norm: 7.1914 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8851 loss: 0.8851 2022/08/05 17:28:35 - mmengine - INFO - Epoch(train) [244][400/1879] lr: 1.0000e-04 eta: 2:53:31 time: 0.4633 data_time: 0.0173 memory: 17087 grad_norm: 7.2525 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7845 loss: 0.7845 2022/08/05 17:28:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 17:28:44 - mmengine - INFO - Epoch(train) [244][420/1879] lr: 1.0000e-04 eta: 2:53:23 time: 0.4321 data_time: 0.0163 memory: 17087 grad_norm: 6.8315 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7788 loss: 0.7788 2022/08/05 17:28:53 - mmengine - INFO - Epoch(train) [244][440/1879] lr: 1.0000e-04 eta: 2:53:14 time: 0.4754 data_time: 0.0231 memory: 17087 grad_norm: 7.3598 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8426 loss: 0.8426 2022/08/05 17:29:02 - mmengine - INFO - Epoch(train) [244][460/1879] lr: 1.0000e-04 eta: 2:53:05 time: 0.4294 data_time: 0.0134 memory: 17087 grad_norm: 7.1758 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8097 loss: 0.8097 2022/08/05 17:29:11 - mmengine - INFO - Epoch(train) [244][480/1879] lr: 1.0000e-04 eta: 2:52:57 time: 0.4479 data_time: 0.0248 memory: 17087 grad_norm: 7.1498 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8321 loss: 0.8321 2022/08/05 17:29:19 - mmengine - INFO - Epoch(train) [244][500/1879] lr: 1.0000e-04 eta: 2:52:48 time: 0.4304 data_time: 0.0159 memory: 17087 grad_norm: 6.8669 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6705 loss: 0.6705 2022/08/05 17:29:28 - mmengine - INFO - Epoch(train) [244][520/1879] lr: 1.0000e-04 eta: 2:52:39 time: 0.4331 data_time: 0.0185 memory: 17087 grad_norm: 7.2159 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7929 loss: 0.7929 2022/08/05 17:29:37 - mmengine - INFO - Epoch(train) [244][540/1879] lr: 1.0000e-04 eta: 2:52:31 time: 0.4689 data_time: 0.0171 memory: 17087 grad_norm: 7.0410 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7272 loss: 0.7272 2022/08/05 17:29:46 - mmengine - INFO - Epoch(train) [244][560/1879] lr: 1.0000e-04 eta: 2:52:22 time: 0.4340 data_time: 0.0165 memory: 17087 grad_norm: 7.3182 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9313 loss: 0.9313 2022/08/05 17:29:56 - mmengine - INFO - Epoch(train) [244][580/1879] lr: 1.0000e-04 eta: 2:52:14 time: 0.4896 data_time: 0.0198 memory: 17087 grad_norm: 7.0880 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8420 loss: 0.8420 2022/08/05 17:30:05 - mmengine - INFO - Epoch(train) [244][600/1879] lr: 1.0000e-04 eta: 2:52:05 time: 0.4327 data_time: 0.0167 memory: 17087 grad_norm: 7.3998 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7922 loss: 0.7922 2022/08/05 17:30:14 - mmengine - INFO - Epoch(train) [244][620/1879] lr: 1.0000e-04 eta: 2:51:56 time: 0.4615 data_time: 0.0190 memory: 17087 grad_norm: 7.3576 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9174 loss: 0.9174 2022/08/05 17:30:23 - mmengine - INFO - Epoch(train) [244][640/1879] lr: 1.0000e-04 eta: 2:51:48 time: 0.4363 data_time: 0.0168 memory: 17087 grad_norm: 7.4489 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8531 loss: 0.8531 2022/08/05 17:30:31 - mmengine - INFO - Epoch(train) [244][660/1879] lr: 1.0000e-04 eta: 2:51:39 time: 0.4421 data_time: 0.0172 memory: 17087 grad_norm: 7.2012 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8304 loss: 0.8304 2022/08/05 17:30:41 - mmengine - INFO - Epoch(train) [244][680/1879] lr: 1.0000e-04 eta: 2:51:30 time: 0.4563 data_time: 0.0193 memory: 17087 grad_norm: 7.5709 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7821 loss: 0.7821 2022/08/05 17:30:49 - mmengine - INFO - Epoch(train) [244][700/1879] lr: 1.0000e-04 eta: 2:51:22 time: 0.4316 data_time: 0.0160 memory: 17087 grad_norm: 7.2514 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7820 loss: 0.7820 2022/08/05 17:30:58 - mmengine - INFO - Epoch(train) [244][720/1879] lr: 1.0000e-04 eta: 2:51:13 time: 0.4294 data_time: 0.0159 memory: 17087 grad_norm: 7.3563 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7730 loss: 0.7730 2022/08/05 17:31:07 - mmengine - INFO - Epoch(train) [244][740/1879] lr: 1.0000e-04 eta: 2:51:04 time: 0.4393 data_time: 0.0174 memory: 17087 grad_norm: 7.2681 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7452 loss: 0.7452 2022/08/05 17:31:15 - mmengine - INFO - Epoch(train) [244][760/1879] lr: 1.0000e-04 eta: 2:50:56 time: 0.4373 data_time: 0.0202 memory: 17087 grad_norm: 7.2183 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7317 loss: 0.7317 2022/08/05 17:31:25 - mmengine - INFO - Epoch(train) [244][780/1879] lr: 1.0000e-04 eta: 2:50:47 time: 0.4584 data_time: 0.0139 memory: 17087 grad_norm: 6.9870 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6977 loss: 0.6977 2022/08/05 17:31:33 - mmengine - INFO - Epoch(train) [244][800/1879] lr: 1.0000e-04 eta: 2:50:38 time: 0.4320 data_time: 0.0177 memory: 17087 grad_norm: 7.3430 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7409 loss: 0.7409 2022/08/05 17:31:42 - mmengine - INFO - Epoch(train) [244][820/1879] lr: 1.0000e-04 eta: 2:50:30 time: 0.4456 data_time: 0.0155 memory: 17087 grad_norm: 7.3510 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6632 loss: 0.6632 2022/08/05 17:31:51 - mmengine - INFO - Epoch(train) [244][840/1879] lr: 1.0000e-04 eta: 2:50:21 time: 0.4376 data_time: 0.0163 memory: 17087 grad_norm: 6.7856 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7762 loss: 0.7762 2022/08/05 17:32:00 - mmengine - INFO - Epoch(train) [244][860/1879] lr: 1.0000e-04 eta: 2:50:12 time: 0.4376 data_time: 0.0177 memory: 17087 grad_norm: 7.0055 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7287 loss: 0.7287 2022/08/05 17:32:08 - mmengine - INFO - Epoch(train) [244][880/1879] lr: 1.0000e-04 eta: 2:50:04 time: 0.4329 data_time: 0.0165 memory: 17087 grad_norm: 7.0896 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7193 loss: 0.7193 2022/08/05 17:32:17 - mmengine - INFO - Epoch(train) [244][900/1879] lr: 1.0000e-04 eta: 2:49:55 time: 0.4300 data_time: 0.0149 memory: 17087 grad_norm: 7.1389 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9229 loss: 0.9229 2022/08/05 17:32:26 - mmengine - INFO - Epoch(train) [244][920/1879] lr: 1.0000e-04 eta: 2:49:46 time: 0.4488 data_time: 0.0194 memory: 17087 grad_norm: 7.1458 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8380 loss: 0.8380 2022/08/05 17:32:35 - mmengine - INFO - Epoch(train) [244][940/1879] lr: 1.0000e-04 eta: 2:49:38 time: 0.4315 data_time: 0.0157 memory: 17087 grad_norm: 7.0800 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7873 loss: 0.7873 2022/08/05 17:32:44 - mmengine - INFO - Epoch(train) [244][960/1879] lr: 1.0000e-04 eta: 2:49:29 time: 0.4426 data_time: 0.0193 memory: 17087 grad_norm: 7.1242 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8395 loss: 0.8395 2022/08/05 17:32:52 - mmengine - INFO - Epoch(train) [244][980/1879] lr: 1.0000e-04 eta: 2:49:20 time: 0.4318 data_time: 0.0156 memory: 17087 grad_norm: 7.3145 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7826 loss: 0.7826 2022/08/05 17:33:01 - mmengine - INFO - Epoch(train) [244][1000/1879] lr: 1.0000e-04 eta: 2:49:12 time: 0.4444 data_time: 0.0174 memory: 17087 grad_norm: 7.2650 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7375 loss: 0.7375 2022/08/05 17:33:10 - mmengine - INFO - Epoch(train) [244][1020/1879] lr: 1.0000e-04 eta: 2:49:03 time: 0.4318 data_time: 0.0153 memory: 17087 grad_norm: 7.1536 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8731 loss: 0.8731 2022/08/05 17:33:18 - mmengine - INFO - Epoch(train) [244][1040/1879] lr: 1.0000e-04 eta: 2:48:54 time: 0.4317 data_time: 0.0159 memory: 17087 grad_norm: 7.3919 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8899 loss: 0.8899 2022/08/05 17:33:28 - mmengine - INFO - Epoch(train) [244][1060/1879] lr: 1.0000e-04 eta: 2:48:46 time: 0.4680 data_time: 0.0178 memory: 17087 grad_norm: 6.9088 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7071 loss: 0.7071 2022/08/05 17:33:36 - mmengine - INFO - Epoch(train) [244][1080/1879] lr: 1.0000e-04 eta: 2:48:37 time: 0.4309 data_time: 0.0169 memory: 17087 grad_norm: 6.9221 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7583 loss: 0.7583 2022/08/05 17:33:46 - mmengine - INFO - Epoch(train) [244][1100/1879] lr: 1.0000e-04 eta: 2:48:28 time: 0.4709 data_time: 0.0148 memory: 17087 grad_norm: 7.0824 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.6814 loss: 0.6814 2022/08/05 17:33:55 - mmengine - INFO - Epoch(train) [244][1120/1879] lr: 1.0000e-04 eta: 2:48:20 time: 0.4326 data_time: 0.0163 memory: 17087 grad_norm: 7.2378 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9168 loss: 0.9168 2022/08/05 17:34:03 - mmengine - INFO - Epoch(train) [244][1140/1879] lr: 1.0000e-04 eta: 2:48:11 time: 0.4422 data_time: 0.0195 memory: 17087 grad_norm: 7.1392 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.8379 loss: 0.8379 2022/08/05 17:34:12 - mmengine - INFO - Epoch(train) [244][1160/1879] lr: 1.0000e-04 eta: 2:48:02 time: 0.4319 data_time: 0.0158 memory: 17087 grad_norm: 7.1895 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7127 loss: 0.7127 2022/08/05 17:34:21 - mmengine - INFO - Epoch(train) [244][1180/1879] lr: 1.0000e-04 eta: 2:47:54 time: 0.4456 data_time: 0.0152 memory: 17087 grad_norm: 7.2043 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7383 loss: 0.7383 2022/08/05 17:34:30 - mmengine - INFO - Epoch(train) [244][1200/1879] lr: 1.0000e-04 eta: 2:47:45 time: 0.4322 data_time: 0.0171 memory: 17087 grad_norm: 7.1396 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7676 loss: 0.7676 2022/08/05 17:34:38 - mmengine - INFO - Epoch(train) [244][1220/1879] lr: 1.0000e-04 eta: 2:47:36 time: 0.4300 data_time: 0.0153 memory: 17087 grad_norm: 7.2097 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7465 loss: 0.7465 2022/08/05 17:34:48 - mmengine - INFO - Epoch(train) [244][1240/1879] lr: 1.0000e-04 eta: 2:47:28 time: 0.4675 data_time: 0.0220 memory: 17087 grad_norm: 7.1175 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8218 loss: 0.8218 2022/08/05 17:34:56 - mmengine - INFO - Epoch(train) [244][1260/1879] lr: 1.0000e-04 eta: 2:47:19 time: 0.4293 data_time: 0.0138 memory: 17087 grad_norm: 7.2051 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7585 loss: 0.7585 2022/08/05 17:35:06 - mmengine - INFO - Epoch(train) [244][1280/1879] lr: 1.0000e-04 eta: 2:47:11 time: 0.4599 data_time: 0.0154 memory: 17087 grad_norm: 7.5298 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8723 loss: 0.8723 2022/08/05 17:35:14 - mmengine - INFO - Epoch(train) [244][1300/1879] lr: 1.0000e-04 eta: 2:47:02 time: 0.4316 data_time: 0.0152 memory: 17087 grad_norm: 7.2234 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8570 loss: 0.8570 2022/08/05 17:35:24 - mmengine - INFO - Epoch(train) [244][1320/1879] lr: 1.0000e-04 eta: 2:46:53 time: 0.4742 data_time: 0.0174 memory: 17087 grad_norm: 7.3106 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7677 loss: 0.7677 2022/08/05 17:35:32 - mmengine - INFO - Epoch(train) [244][1340/1879] lr: 1.0000e-04 eta: 2:46:45 time: 0.4313 data_time: 0.0159 memory: 17087 grad_norm: 7.1772 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7562 loss: 0.7562 2022/08/05 17:35:41 - mmengine - INFO - Epoch(train) [244][1360/1879] lr: 1.0000e-04 eta: 2:46:36 time: 0.4398 data_time: 0.0179 memory: 17087 grad_norm: 7.4677 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8742 loss: 0.8742 2022/08/05 17:35:50 - mmengine - INFO - Epoch(train) [244][1380/1879] lr: 1.0000e-04 eta: 2:46:27 time: 0.4316 data_time: 0.0173 memory: 17087 grad_norm: 7.4604 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7746 loss: 0.7746 2022/08/05 17:35:58 - mmengine - INFO - Epoch(train) [244][1400/1879] lr: 1.0000e-04 eta: 2:46:19 time: 0.4314 data_time: 0.0156 memory: 17087 grad_norm: 7.4110 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8311 loss: 0.8311 2022/08/05 17:36:00 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 17:36:07 - mmengine - INFO - Epoch(train) [244][1420/1879] lr: 1.0000e-04 eta: 2:46:10 time: 0.4462 data_time: 0.0155 memory: 17087 grad_norm: 7.1667 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9624 loss: 0.9624 2022/08/05 17:36:16 - mmengine - INFO - Epoch(train) [244][1440/1879] lr: 1.0000e-04 eta: 2:46:01 time: 0.4318 data_time: 0.0165 memory: 17087 grad_norm: 7.1117 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7950 loss: 0.7950 2022/08/05 17:36:25 - mmengine - INFO - Epoch(train) [244][1460/1879] lr: 1.0000e-04 eta: 2:45:53 time: 0.4528 data_time: 0.0187 memory: 17087 grad_norm: 6.9674 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7197 loss: 0.7197 2022/08/05 17:36:34 - mmengine - INFO - Epoch(train) [244][1480/1879] lr: 1.0000e-04 eta: 2:45:44 time: 0.4317 data_time: 0.0161 memory: 17087 grad_norm: 7.1960 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7426 loss: 0.7426 2022/08/05 17:36:43 - mmengine - INFO - Epoch(train) [244][1500/1879] lr: 1.0000e-04 eta: 2:45:35 time: 0.4336 data_time: 0.0142 memory: 17087 grad_norm: 7.3738 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9276 loss: 0.9276 2022/08/05 17:36:51 - mmengine - INFO - Epoch(train) [244][1520/1879] lr: 1.0000e-04 eta: 2:45:27 time: 0.4366 data_time: 0.0160 memory: 17087 grad_norm: 7.2336 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7023 loss: 0.7023 2022/08/05 17:37:00 - mmengine - INFO - Epoch(train) [244][1540/1879] lr: 1.0000e-04 eta: 2:45:18 time: 0.4417 data_time: 0.0172 memory: 17087 grad_norm: 6.9864 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7310 loss: 0.7310 2022/08/05 17:37:09 - mmengine - INFO - Epoch(train) [244][1560/1879] lr: 1.0000e-04 eta: 2:45:09 time: 0.4317 data_time: 0.0181 memory: 17087 grad_norm: 7.1957 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8853 loss: 0.8853 2022/08/05 17:37:17 - mmengine - INFO - Epoch(train) [244][1580/1879] lr: 1.0000e-04 eta: 2:45:01 time: 0.4303 data_time: 0.0143 memory: 17087 grad_norm: 7.4272 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7985 loss: 0.7985 2022/08/05 17:37:27 - mmengine - INFO - Epoch(train) [244][1600/1879] lr: 1.0000e-04 eta: 2:44:52 time: 0.4546 data_time: 0.0163 memory: 17087 grad_norm: 7.0852 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7398 loss: 0.7398 2022/08/05 17:37:35 - mmengine - INFO - Epoch(train) [244][1620/1879] lr: 1.0000e-04 eta: 2:44:43 time: 0.4345 data_time: 0.0142 memory: 17087 grad_norm: 7.4357 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7758 loss: 0.7758 2022/08/05 17:37:44 - mmengine - INFO - Epoch(train) [244][1640/1879] lr: 1.0000e-04 eta: 2:44:35 time: 0.4462 data_time: 0.0169 memory: 17087 grad_norm: 7.2891 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8370 loss: 0.8370 2022/08/05 17:37:53 - mmengine - INFO - Epoch(train) [244][1660/1879] lr: 1.0000e-04 eta: 2:44:26 time: 0.4326 data_time: 0.0164 memory: 17087 grad_norm: 7.2244 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8075 loss: 0.8075 2022/08/05 17:38:02 - mmengine - INFO - Epoch(train) [244][1680/1879] lr: 1.0000e-04 eta: 2:44:17 time: 0.4338 data_time: 0.0184 memory: 17087 grad_norm: 6.8427 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7825 loss: 0.7825 2022/08/05 17:38:10 - mmengine - INFO - Epoch(train) [244][1700/1879] lr: 1.0000e-04 eta: 2:44:09 time: 0.4323 data_time: 0.0185 memory: 17087 grad_norm: 7.1923 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6734 loss: 0.6734 2022/08/05 17:38:19 - mmengine - INFO - Epoch(train) [244][1720/1879] lr: 1.0000e-04 eta: 2:44:00 time: 0.4328 data_time: 0.0157 memory: 17087 grad_norm: 7.0998 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6761 loss: 0.6761 2022/08/05 17:38:28 - mmengine - INFO - Epoch(train) [244][1740/1879] lr: 1.0000e-04 eta: 2:43:51 time: 0.4480 data_time: 0.0153 memory: 17087 grad_norm: 7.1173 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8287 loss: 0.8287 2022/08/05 17:38:37 - mmengine - INFO - Epoch(train) [244][1760/1879] lr: 1.0000e-04 eta: 2:43:43 time: 0.4375 data_time: 0.0172 memory: 17087 grad_norm: 7.2171 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7883 loss: 0.7883 2022/08/05 17:38:46 - mmengine - INFO - Epoch(train) [244][1780/1879] lr: 1.0000e-04 eta: 2:43:34 time: 0.4560 data_time: 0.0180 memory: 17087 grad_norm: 7.1332 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8131 loss: 0.8131 2022/08/05 17:38:54 - mmengine - INFO - Epoch(train) [244][1800/1879] lr: 1.0000e-04 eta: 2:43:25 time: 0.4305 data_time: 0.0173 memory: 17087 grad_norm: 7.0668 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.9111 loss: 0.9111 2022/08/05 17:39:03 - mmengine - INFO - Epoch(train) [244][1820/1879] lr: 1.0000e-04 eta: 2:43:17 time: 0.4334 data_time: 0.0152 memory: 17087 grad_norm: 7.1238 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8153 loss: 0.8153 2022/08/05 17:39:12 - mmengine - INFO - Epoch(train) [244][1840/1879] lr: 1.0000e-04 eta: 2:43:08 time: 0.4394 data_time: 0.0180 memory: 17087 grad_norm: 7.1838 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7993 loss: 0.7993 2022/08/05 17:39:21 - mmengine - INFO - Epoch(train) [244][1860/1879] lr: 1.0000e-04 eta: 2:42:59 time: 0.4388 data_time: 0.0160 memory: 17087 grad_norm: 7.0168 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7835 loss: 0.7835 2022/08/05 17:39:29 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 17:39:29 - mmengine - INFO - Epoch(train) [244][1879/1879] lr: 1.0000e-04 eta: 2:42:59 time: 0.4109 data_time: 0.0166 memory: 17087 grad_norm: 7.5448 top1_acc: 0.5714 top5_acc: 0.8571 loss_cls: 0.9235 loss: 0.9235 2022/08/05 17:39:29 - mmengine - INFO - Saving checkpoint at 244 epochs 2022/08/05 17:39:43 - mmengine - INFO - Epoch(train) [245][20/1879] lr: 1.0000e-04 eta: 2:42:42 time: 0.5131 data_time: 0.0903 memory: 17087 grad_norm: 7.4001 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7398 loss: 0.7398 2022/08/05 17:39:52 - mmengine - INFO - Epoch(train) [245][40/1879] lr: 1.0000e-04 eta: 2:42:33 time: 0.4448 data_time: 0.0209 memory: 17087 grad_norm: 7.2164 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7139 loss: 0.7139 2022/08/05 17:40:00 - mmengine - INFO - Epoch(train) [245][60/1879] lr: 1.0000e-04 eta: 2:42:25 time: 0.4299 data_time: 0.0147 memory: 17087 grad_norm: 6.9428 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7873 loss: 0.7873 2022/08/05 17:40:09 - mmengine - INFO - Epoch(train) [245][80/1879] lr: 1.0000e-04 eta: 2:42:16 time: 0.4316 data_time: 0.0186 memory: 17087 grad_norm: 7.1204 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9622 loss: 0.9622 2022/08/05 17:40:18 - mmengine - INFO - Epoch(train) [245][100/1879] lr: 1.0000e-04 eta: 2:42:07 time: 0.4323 data_time: 0.0162 memory: 17087 grad_norm: 7.2779 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8281 loss: 0.8281 2022/08/05 17:40:26 - mmengine - INFO - Epoch(train) [245][120/1879] lr: 1.0000e-04 eta: 2:41:59 time: 0.4312 data_time: 0.0175 memory: 17087 grad_norm: 7.0410 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7598 loss: 0.7598 2022/08/05 17:40:36 - mmengine - INFO - Epoch(train) [245][140/1879] lr: 1.0000e-04 eta: 2:41:50 time: 0.4642 data_time: 0.0163 memory: 17087 grad_norm: 7.1719 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8296 loss: 0.8296 2022/08/05 17:40:45 - mmengine - INFO - Epoch(train) [245][160/1879] lr: 1.0000e-04 eta: 2:41:41 time: 0.4330 data_time: 0.0180 memory: 17087 grad_norm: 7.1649 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7164 loss: 0.7164 2022/08/05 17:40:54 - mmengine - INFO - Epoch(train) [245][180/1879] lr: 1.0000e-04 eta: 2:41:33 time: 0.4625 data_time: 0.0192 memory: 17087 grad_norm: 7.2576 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6947 loss: 0.6947 2022/08/05 17:41:02 - mmengine - INFO - Epoch(train) [245][200/1879] lr: 1.0000e-04 eta: 2:41:24 time: 0.4313 data_time: 0.0171 memory: 17087 grad_norm: 7.4227 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8518 loss: 0.8518 2022/08/05 17:41:12 - mmengine - INFO - Epoch(train) [245][220/1879] lr: 1.0000e-04 eta: 2:41:16 time: 0.4634 data_time: 0.0209 memory: 17087 grad_norm: 7.1472 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7920 loss: 0.7920 2022/08/05 17:41:20 - mmengine - INFO - Epoch(train) [245][240/1879] lr: 1.0000e-04 eta: 2:41:07 time: 0.4338 data_time: 0.0168 memory: 17087 grad_norm: 7.3735 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8567 loss: 0.8567 2022/08/05 17:41:29 - mmengine - INFO - Epoch(train) [245][260/1879] lr: 1.0000e-04 eta: 2:40:58 time: 0.4355 data_time: 0.0207 memory: 17087 grad_norm: 7.2465 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7371 loss: 0.7371 2022/08/05 17:41:38 - mmengine - INFO - Epoch(train) [245][280/1879] lr: 1.0000e-04 eta: 2:40:50 time: 0.4661 data_time: 0.0171 memory: 17087 grad_norm: 7.1528 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8605 loss: 0.8605 2022/08/05 17:41:47 - mmengine - INFO - Epoch(train) [245][300/1879] lr: 1.0000e-04 eta: 2:40:41 time: 0.4390 data_time: 0.0167 memory: 17087 grad_norm: 7.0537 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8889 loss: 0.8889 2022/08/05 17:41:56 - mmengine - INFO - Epoch(train) [245][320/1879] lr: 1.0000e-04 eta: 2:40:32 time: 0.4324 data_time: 0.0170 memory: 17087 grad_norm: 7.3971 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7232 loss: 0.7232 2022/08/05 17:42:05 - mmengine - INFO - Epoch(train) [245][340/1879] lr: 1.0000e-04 eta: 2:40:24 time: 0.4501 data_time: 0.0307 memory: 17087 grad_norm: 7.1569 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6683 loss: 0.6683 2022/08/05 17:42:14 - mmengine - INFO - Epoch(train) [245][360/1879] lr: 1.0000e-04 eta: 2:40:15 time: 0.4306 data_time: 0.0167 memory: 17087 grad_norm: 6.9026 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6182 loss: 0.6182 2022/08/05 17:42:23 - mmengine - INFO - Epoch(train) [245][380/1879] lr: 1.0000e-04 eta: 2:40:06 time: 0.4543 data_time: 0.0159 memory: 17087 grad_norm: 7.2571 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7263 loss: 0.7263 2022/08/05 17:42:31 - mmengine - INFO - Epoch(train) [245][400/1879] lr: 1.0000e-04 eta: 2:39:58 time: 0.4320 data_time: 0.0165 memory: 17087 grad_norm: 7.1879 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8714 loss: 0.8714 2022/08/05 17:42:40 - mmengine - INFO - Epoch(train) [245][420/1879] lr: 1.0000e-04 eta: 2:39:49 time: 0.4364 data_time: 0.0152 memory: 17087 grad_norm: 7.2373 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7623 loss: 0.7623 2022/08/05 17:42:49 - mmengine - INFO - Epoch(train) [245][440/1879] lr: 1.0000e-04 eta: 2:39:40 time: 0.4326 data_time: 0.0160 memory: 17087 grad_norm: 7.4183 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9623 loss: 0.9623 2022/08/05 17:42:57 - mmengine - INFO - Epoch(train) [245][460/1879] lr: 1.0000e-04 eta: 2:39:32 time: 0.4303 data_time: 0.0141 memory: 17087 grad_norm: 7.2881 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7644 loss: 0.7644 2022/08/05 17:43:06 - mmengine - INFO - Epoch(train) [245][480/1879] lr: 1.0000e-04 eta: 2:39:23 time: 0.4444 data_time: 0.0176 memory: 17087 grad_norm: 7.0254 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7919 loss: 0.7919 2022/08/05 17:43:15 - mmengine - INFO - Epoch(train) [245][500/1879] lr: 1.0000e-04 eta: 2:39:14 time: 0.4294 data_time: 0.0139 memory: 17087 grad_norm: 7.1594 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8723 loss: 0.8723 2022/08/05 17:43:24 - mmengine - INFO - Epoch(train) [245][520/1879] lr: 1.0000e-04 eta: 2:39:06 time: 0.4447 data_time: 0.0177 memory: 17087 grad_norm: 7.0422 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8895 loss: 0.8895 2022/08/05 17:43:26 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 17:43:33 - mmengine - INFO - Epoch(train) [245][540/1879] lr: 1.0000e-04 eta: 2:38:57 time: 0.4463 data_time: 0.0180 memory: 17087 grad_norm: 7.2990 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9787 loss: 0.9787 2022/08/05 17:43:41 - mmengine - INFO - Epoch(train) [245][560/1879] lr: 1.0000e-04 eta: 2:38:48 time: 0.4310 data_time: 0.0160 memory: 17087 grad_norm: 7.0762 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8963 loss: 0.8963 2022/08/05 17:43:51 - mmengine - INFO - Epoch(train) [245][580/1879] lr: 1.0000e-04 eta: 2:38:40 time: 0.4752 data_time: 0.0181 memory: 17087 grad_norm: 6.8255 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.7942 loss: 0.7942 2022/08/05 17:44:00 - mmengine - INFO - Epoch(train) [245][600/1879] lr: 1.0000e-04 eta: 2:38:31 time: 0.4318 data_time: 0.0178 memory: 17087 grad_norm: 7.1609 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8844 loss: 0.8844 2022/08/05 17:44:08 - mmengine - INFO - Epoch(train) [245][620/1879] lr: 1.0000e-04 eta: 2:38:22 time: 0.4363 data_time: 0.0185 memory: 17087 grad_norm: 7.4008 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9417 loss: 0.9417 2022/08/05 17:44:17 - mmengine - INFO - Epoch(train) [245][640/1879] lr: 1.0000e-04 eta: 2:38:14 time: 0.4409 data_time: 0.0165 memory: 17087 grad_norm: 7.1021 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8577 loss: 0.8577 2022/08/05 17:44:26 - mmengine - INFO - Epoch(train) [245][660/1879] lr: 1.0000e-04 eta: 2:38:05 time: 0.4316 data_time: 0.0155 memory: 17087 grad_norm: 7.3639 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7393 loss: 0.7393 2022/08/05 17:44:35 - mmengine - INFO - Epoch(train) [245][680/1879] lr: 1.0000e-04 eta: 2:37:56 time: 0.4724 data_time: 0.0183 memory: 17087 grad_norm: 7.5815 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9842 loss: 0.9842 2022/08/05 17:44:44 - mmengine - INFO - Epoch(train) [245][700/1879] lr: 1.0000e-04 eta: 2:37:48 time: 0.4368 data_time: 0.0199 memory: 17087 grad_norm: 7.2195 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8200 loss: 0.8200 2022/08/05 17:44:53 - mmengine - INFO - Epoch(train) [245][720/1879] lr: 1.0000e-04 eta: 2:37:39 time: 0.4368 data_time: 0.0195 memory: 17087 grad_norm: 6.9546 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7518 loss: 0.7518 2022/08/05 17:45:02 - mmengine - INFO - Epoch(train) [245][740/1879] lr: 1.0000e-04 eta: 2:37:30 time: 0.4318 data_time: 0.0140 memory: 17087 grad_norm: 7.3535 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9209 loss: 0.9209 2022/08/05 17:45:10 - mmengine - INFO - Epoch(train) [245][760/1879] lr: 1.0000e-04 eta: 2:37:22 time: 0.4389 data_time: 0.0179 memory: 17087 grad_norm: 7.1170 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7142 loss: 0.7142 2022/08/05 17:45:19 - mmengine - INFO - Epoch(train) [245][780/1879] lr: 1.0000e-04 eta: 2:37:13 time: 0.4324 data_time: 0.0156 memory: 17087 grad_norm: 7.2535 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8254 loss: 0.8254 2022/08/05 17:45:28 - mmengine - INFO - Epoch(train) [245][800/1879] lr: 1.0000e-04 eta: 2:37:04 time: 0.4334 data_time: 0.0181 memory: 17087 grad_norm: 7.3553 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8424 loss: 0.8424 2022/08/05 17:45:37 - mmengine - INFO - Epoch(train) [245][820/1879] lr: 1.0000e-04 eta: 2:36:56 time: 0.4649 data_time: 0.0203 memory: 17087 grad_norm: 7.1674 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8690 loss: 0.8690 2022/08/05 17:45:46 - mmengine - INFO - Epoch(train) [245][840/1879] lr: 1.0000e-04 eta: 2:36:47 time: 0.4378 data_time: 0.0231 memory: 17087 grad_norm: 7.1656 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7369 loss: 0.7369 2022/08/05 17:45:55 - mmengine - INFO - Epoch(train) [245][860/1879] lr: 1.0000e-04 eta: 2:36:38 time: 0.4409 data_time: 0.0179 memory: 17087 grad_norm: 7.0678 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7031 loss: 0.7031 2022/08/05 17:46:03 - mmengine - INFO - Epoch(train) [245][880/1879] lr: 1.0000e-04 eta: 2:36:30 time: 0.4408 data_time: 0.0166 memory: 17087 grad_norm: 7.3886 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8070 loss: 0.8070 2022/08/05 17:46:13 - mmengine - INFO - Epoch(train) [245][900/1879] lr: 1.0000e-04 eta: 2:36:21 time: 0.4582 data_time: 0.0174 memory: 17087 grad_norm: 7.3462 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8372 loss: 0.8372 2022/08/05 17:46:21 - mmengine - INFO - Epoch(train) [245][920/1879] lr: 1.0000e-04 eta: 2:36:12 time: 0.4325 data_time: 0.0162 memory: 17087 grad_norm: 7.3048 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 1.0048 loss: 1.0048 2022/08/05 17:46:30 - mmengine - INFO - Epoch(train) [245][940/1879] lr: 1.0000e-04 eta: 2:36:04 time: 0.4417 data_time: 0.0185 memory: 17087 grad_norm: 7.1101 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7621 loss: 0.7621 2022/08/05 17:46:39 - mmengine - INFO - Epoch(train) [245][960/1879] lr: 1.0000e-04 eta: 2:35:55 time: 0.4552 data_time: 0.0169 memory: 17087 grad_norm: 7.3649 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7424 loss: 0.7424 2022/08/05 17:46:48 - mmengine - INFO - Epoch(train) [245][980/1879] lr: 1.0000e-04 eta: 2:35:46 time: 0.4304 data_time: 0.0142 memory: 17087 grad_norm: 7.1225 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7325 loss: 0.7325 2022/08/05 17:46:57 - mmengine - INFO - Epoch(train) [245][1000/1879] lr: 1.0000e-04 eta: 2:35:38 time: 0.4458 data_time: 0.0225 memory: 17087 grad_norm: 7.1606 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8125 loss: 0.8125 2022/08/05 17:47:06 - mmengine - INFO - Epoch(train) [245][1020/1879] lr: 1.0000e-04 eta: 2:35:29 time: 0.4301 data_time: 0.0148 memory: 17087 grad_norm: 7.4093 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8444 loss: 0.8444 2022/08/05 17:47:15 - mmengine - INFO - Epoch(train) [245][1040/1879] lr: 1.0000e-04 eta: 2:35:20 time: 0.4661 data_time: 0.0177 memory: 17087 grad_norm: 7.0735 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6229 loss: 0.6229 2022/08/05 17:47:24 - mmengine - INFO - Epoch(train) [245][1060/1879] lr: 1.0000e-04 eta: 2:35:12 time: 0.4327 data_time: 0.0138 memory: 17087 grad_norm: 7.1070 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9056 loss: 0.9056 2022/08/05 17:47:33 - mmengine - INFO - Epoch(train) [245][1080/1879] lr: 1.0000e-04 eta: 2:35:03 time: 0.4719 data_time: 0.0237 memory: 17087 grad_norm: 7.4044 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7517 loss: 0.7517 2022/08/05 17:47:42 - mmengine - INFO - Epoch(train) [245][1100/1879] lr: 1.0000e-04 eta: 2:34:55 time: 0.4315 data_time: 0.0143 memory: 17087 grad_norm: 7.4680 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9830 loss: 0.9830 2022/08/05 17:47:51 - mmengine - INFO - Epoch(train) [245][1120/1879] lr: 1.0000e-04 eta: 2:34:46 time: 0.4707 data_time: 0.0207 memory: 17087 grad_norm: 7.2724 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7715 loss: 0.7715 2022/08/05 17:48:00 - mmengine - INFO - Epoch(train) [245][1140/1879] lr: 1.0000e-04 eta: 2:34:37 time: 0.4323 data_time: 0.0147 memory: 17087 grad_norm: 7.0737 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7185 loss: 0.7185 2022/08/05 17:48:08 - mmengine - INFO - Epoch(train) [245][1160/1879] lr: 1.0000e-04 eta: 2:34:29 time: 0.4303 data_time: 0.0152 memory: 17087 grad_norm: 7.0764 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7068 loss: 0.7068 2022/08/05 17:48:18 - mmengine - INFO - Epoch(train) [245][1180/1879] lr: 1.0000e-04 eta: 2:34:20 time: 0.4674 data_time: 0.0229 memory: 17087 grad_norm: 7.1829 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7988 loss: 0.7988 2022/08/05 17:48:27 - mmengine - INFO - Epoch(train) [245][1200/1879] lr: 1.0000e-04 eta: 2:34:11 time: 0.4325 data_time: 0.0166 memory: 17087 grad_norm: 7.1712 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8258 loss: 0.8258 2022/08/05 17:48:35 - mmengine - INFO - Epoch(train) [245][1220/1879] lr: 1.0000e-04 eta: 2:34:03 time: 0.4492 data_time: 0.0194 memory: 17087 grad_norm: 7.3345 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8071 loss: 0.8071 2022/08/05 17:48:44 - mmengine - INFO - Epoch(train) [245][1240/1879] lr: 1.0000e-04 eta: 2:33:54 time: 0.4332 data_time: 0.0174 memory: 17087 grad_norm: 7.3796 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7917 loss: 0.7917 2022/08/05 17:48:54 - mmengine - INFO - Epoch(train) [245][1260/1879] lr: 1.0000e-04 eta: 2:33:45 time: 0.4728 data_time: 0.0198 memory: 17087 grad_norm: 7.3032 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9123 loss: 0.9123 2022/08/05 17:49:02 - mmengine - INFO - Epoch(train) [245][1280/1879] lr: 1.0000e-04 eta: 2:33:37 time: 0.4325 data_time: 0.0189 memory: 17087 grad_norm: 6.7666 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.6962 loss: 0.6962 2022/08/05 17:49:12 - mmengine - INFO - Epoch(train) [245][1300/1879] lr: 1.0000e-04 eta: 2:33:28 time: 0.4749 data_time: 0.0202 memory: 17087 grad_norm: 7.2525 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7729 loss: 0.7729 2022/08/05 17:49:21 - mmengine - INFO - Epoch(train) [245][1320/1879] lr: 1.0000e-04 eta: 2:33:19 time: 0.4302 data_time: 0.0160 memory: 17087 grad_norm: 7.3297 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7279 loss: 0.7279 2022/08/05 17:49:29 - mmengine - INFO - Epoch(train) [245][1340/1879] lr: 1.0000e-04 eta: 2:33:11 time: 0.4353 data_time: 0.0217 memory: 17087 grad_norm: 6.7795 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6441 loss: 0.6441 2022/08/05 17:49:38 - mmengine - INFO - Epoch(train) [245][1360/1879] lr: 1.0000e-04 eta: 2:33:02 time: 0.4413 data_time: 0.0174 memory: 17087 grad_norm: 7.0967 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8008 loss: 0.8008 2022/08/05 17:49:47 - mmengine - INFO - Epoch(train) [245][1380/1879] lr: 1.0000e-04 eta: 2:32:53 time: 0.4326 data_time: 0.0160 memory: 17087 grad_norm: 7.1163 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8303 loss: 0.8303 2022/08/05 17:49:56 - mmengine - INFO - Epoch(train) [245][1400/1879] lr: 1.0000e-04 eta: 2:32:45 time: 0.4687 data_time: 0.0179 memory: 17087 grad_norm: 7.2704 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7798 loss: 0.7798 2022/08/05 17:50:05 - mmengine - INFO - Epoch(train) [245][1420/1879] lr: 1.0000e-04 eta: 2:32:36 time: 0.4340 data_time: 0.0148 memory: 17087 grad_norm: 7.4059 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8294 loss: 0.8294 2022/08/05 17:50:14 - mmengine - INFO - Epoch(train) [245][1440/1879] lr: 1.0000e-04 eta: 2:32:27 time: 0.4703 data_time: 0.0182 memory: 17087 grad_norm: 7.2834 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9504 loss: 0.9504 2022/08/05 17:50:23 - mmengine - INFO - Epoch(train) [245][1460/1879] lr: 1.0000e-04 eta: 2:32:19 time: 0.4344 data_time: 0.0167 memory: 17087 grad_norm: 7.2344 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9109 loss: 0.9109 2022/08/05 17:50:32 - mmengine - INFO - Epoch(train) [245][1480/1879] lr: 1.0000e-04 eta: 2:32:10 time: 0.4601 data_time: 0.0189 memory: 17087 grad_norm: 7.0608 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7985 loss: 0.7985 2022/08/05 17:50:41 - mmengine - INFO - Epoch(train) [245][1500/1879] lr: 1.0000e-04 eta: 2:32:01 time: 0.4332 data_time: 0.0159 memory: 17087 grad_norm: 7.3505 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8208 loss: 0.8208 2022/08/05 17:50:49 - mmengine - INFO - Epoch(train) [245][1520/1879] lr: 1.0000e-04 eta: 2:31:53 time: 0.4319 data_time: 0.0163 memory: 17087 grad_norm: 7.2375 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8674 loss: 0.8674 2022/08/05 17:50:52 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 17:50:59 - mmengine - INFO - Epoch(train) [245][1540/1879] lr: 1.0000e-04 eta: 2:31:44 time: 0.4556 data_time: 0.0161 memory: 17087 grad_norm: 7.1548 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 0.8961 loss: 0.8961 2022/08/05 17:51:07 - mmengine - INFO - Epoch(train) [245][1560/1879] lr: 1.0000e-04 eta: 2:31:35 time: 0.4342 data_time: 0.0160 memory: 17087 grad_norm: 6.8608 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8557 loss: 0.8557 2022/08/05 17:51:16 - mmengine - INFO - Epoch(train) [245][1580/1879] lr: 1.0000e-04 eta: 2:31:27 time: 0.4381 data_time: 0.0161 memory: 17087 grad_norm: 7.4157 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9188 loss: 0.9188 2022/08/05 17:51:25 - mmengine - INFO - Epoch(train) [245][1600/1879] lr: 1.0000e-04 eta: 2:31:18 time: 0.4345 data_time: 0.0161 memory: 17087 grad_norm: 7.5801 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7238 loss: 0.7238 2022/08/05 17:51:34 - mmengine - INFO - Epoch(train) [245][1620/1879] lr: 1.0000e-04 eta: 2:31:09 time: 0.4747 data_time: 0.0167 memory: 17087 grad_norm: 7.1163 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8800 loss: 0.8800 2022/08/05 17:51:43 - mmengine - INFO - Epoch(train) [245][1640/1879] lr: 1.0000e-04 eta: 2:31:01 time: 0.4310 data_time: 0.0166 memory: 17087 grad_norm: 7.2629 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6812 loss: 0.6812 2022/08/05 17:51:52 - mmengine - INFO - Epoch(train) [245][1660/1879] lr: 1.0000e-04 eta: 2:30:52 time: 0.4403 data_time: 0.0209 memory: 17087 grad_norm: 7.3852 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7638 loss: 0.7638 2022/08/05 17:52:00 - mmengine - INFO - Epoch(train) [245][1680/1879] lr: 1.0000e-04 eta: 2:30:43 time: 0.4302 data_time: 0.0152 memory: 17087 grad_norm: 7.0621 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7012 loss: 0.7012 2022/08/05 17:52:09 - mmengine - INFO - Epoch(train) [245][1700/1879] lr: 1.0000e-04 eta: 2:30:35 time: 0.4350 data_time: 0.0166 memory: 17087 grad_norm: 7.1942 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8142 loss: 0.8142 2022/08/05 17:52:18 - mmengine - INFO - Epoch(train) [245][1720/1879] lr: 1.0000e-04 eta: 2:30:26 time: 0.4350 data_time: 0.0172 memory: 17087 grad_norm: 7.3636 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8934 loss: 0.8934 2022/08/05 17:52:27 - mmengine - INFO - Epoch(train) [245][1740/1879] lr: 1.0000e-04 eta: 2:30:17 time: 0.4423 data_time: 0.0216 memory: 17087 grad_norm: 7.3527 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7782 loss: 0.7782 2022/08/05 17:52:35 - mmengine - INFO - Epoch(train) [245][1760/1879] lr: 1.0000e-04 eta: 2:30:09 time: 0.4343 data_time: 0.0161 memory: 17087 grad_norm: 7.3191 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8221 loss: 0.8221 2022/08/05 17:52:44 - mmengine - INFO - Epoch(train) [245][1780/1879] lr: 1.0000e-04 eta: 2:30:00 time: 0.4451 data_time: 0.0172 memory: 17087 grad_norm: 7.3325 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6792 loss: 0.6792 2022/08/05 17:52:53 - mmengine - INFO - Epoch(train) [245][1800/1879] lr: 1.0000e-04 eta: 2:29:51 time: 0.4347 data_time: 0.0168 memory: 17087 grad_norm: 7.3421 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7234 loss: 0.7234 2022/08/05 17:53:02 - mmengine - INFO - Epoch(train) [245][1820/1879] lr: 1.0000e-04 eta: 2:29:43 time: 0.4490 data_time: 0.0176 memory: 17087 grad_norm: 7.3797 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7461 loss: 0.7461 2022/08/05 17:53:11 - mmengine - INFO - Epoch(train) [245][1840/1879] lr: 1.0000e-04 eta: 2:29:34 time: 0.4324 data_time: 0.0169 memory: 17087 grad_norm: 6.9205 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.5893 loss: 0.5893 2022/08/05 17:53:19 - mmengine - INFO - Epoch(train) [245][1860/1879] lr: 1.0000e-04 eta: 2:29:25 time: 0.4303 data_time: 0.0152 memory: 17087 grad_norm: 7.1227 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8531 loss: 0.8531 2022/08/05 17:53:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 17:53:27 - mmengine - INFO - Epoch(train) [245][1879/1879] lr: 1.0000e-04 eta: 2:29:25 time: 0.4133 data_time: 0.0148 memory: 17087 grad_norm: 7.3090 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8376 loss: 0.8376 2022/08/05 17:53:35 - mmengine - INFO - Epoch(val) [245][20/155] eta: 0:00:50 time: 0.3756 data_time: 0.2046 memory: 2821 2022/08/05 17:53:40 - mmengine - INFO - Epoch(val) [245][40/155] eta: 0:00:28 time: 0.2437 data_time: 0.0751 memory: 2821 2022/08/05 17:53:46 - mmengine - INFO - Epoch(val) [245][60/155] eta: 0:00:29 time: 0.3075 data_time: 0.1404 memory: 2821 2022/08/05 17:53:51 - mmengine - INFO - Epoch(val) [245][80/155] eta: 0:00:18 time: 0.2510 data_time: 0.0839 memory: 2821 2022/08/05 17:53:57 - mmengine - INFO - Epoch(val) [245][100/155] eta: 0:00:18 time: 0.3279 data_time: 0.1619 memory: 2821 2022/08/05 17:54:03 - mmengine - INFO - Epoch(val) [245][120/155] eta: 0:00:09 time: 0.2735 data_time: 0.0964 memory: 2821 2022/08/05 17:54:09 - mmengine - INFO - Epoch(val) [245][140/155] eta: 0:00:04 time: 0.2915 data_time: 0.1242 memory: 2821 2022/08/05 17:54:14 - mmengine - INFO - Epoch(val) [245][155/155] acc/top1: 0.6960 acc/top5: 0.8812 acc/mean1: 0.6959 2022/08/05 17:54:25 - mmengine - INFO - Epoch(train) [246][20/1879] lr: 1.0000e-04 eta: 2:29:08 time: 0.5516 data_time: 0.1113 memory: 17087 grad_norm: 7.1890 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7962 loss: 0.7962 2022/08/05 17:54:34 - mmengine - INFO - Epoch(train) [246][40/1879] lr: 1.0000e-04 eta: 2:29:00 time: 0.4528 data_time: 0.0229 memory: 17087 grad_norm: 7.0311 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7633 loss: 0.7633 2022/08/05 17:54:43 - mmengine - INFO - Epoch(train) [246][60/1879] lr: 1.0000e-04 eta: 2:28:51 time: 0.4426 data_time: 0.0197 memory: 17087 grad_norm: 7.2191 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7520 loss: 0.7520 2022/08/05 17:54:52 - mmengine - INFO - Epoch(train) [246][80/1879] lr: 1.0000e-04 eta: 2:28:42 time: 0.4322 data_time: 0.0168 memory: 17087 grad_norm: 7.0499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7633 loss: 0.7633 2022/08/05 17:55:00 - mmengine - INFO - Epoch(train) [246][100/1879] lr: 1.0000e-04 eta: 2:28:34 time: 0.4298 data_time: 0.0128 memory: 17087 grad_norm: 7.4140 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7882 loss: 0.7882 2022/08/05 17:55:10 - mmengine - INFO - Epoch(train) [246][120/1879] lr: 1.0000e-04 eta: 2:28:25 time: 0.4672 data_time: 0.0175 memory: 17087 grad_norm: 7.2362 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7280 loss: 0.7280 2022/08/05 17:55:19 - mmengine - INFO - Epoch(train) [246][140/1879] lr: 1.0000e-04 eta: 2:28:16 time: 0.4347 data_time: 0.0167 memory: 17087 grad_norm: 7.0761 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8084 loss: 0.8084 2022/08/05 17:55:27 - mmengine - INFO - Epoch(train) [246][160/1879] lr: 1.0000e-04 eta: 2:28:08 time: 0.4311 data_time: 0.0166 memory: 17087 grad_norm: 7.5254 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9466 loss: 0.9466 2022/08/05 17:55:37 - mmengine - INFO - Epoch(train) [246][180/1879] lr: 1.0000e-04 eta: 2:27:59 time: 0.4769 data_time: 0.0187 memory: 17087 grad_norm: 7.0429 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9007 loss: 0.9007 2022/08/05 17:55:45 - mmengine - INFO - Epoch(train) [246][200/1879] lr: 1.0000e-04 eta: 2:27:50 time: 0.4371 data_time: 0.0222 memory: 17087 grad_norm: 7.1583 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.5942 loss: 0.5942 2022/08/05 17:55:54 - mmengine - INFO - Epoch(train) [246][220/1879] lr: 1.0000e-04 eta: 2:27:42 time: 0.4344 data_time: 0.0143 memory: 17087 grad_norm: 7.4359 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8192 loss: 0.8192 2022/08/05 17:56:03 - mmengine - INFO - Epoch(train) [246][240/1879] lr: 1.0000e-04 eta: 2:27:33 time: 0.4320 data_time: 0.0174 memory: 17087 grad_norm: 7.0721 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8287 loss: 0.8287 2022/08/05 17:56:12 - mmengine - INFO - Epoch(train) [246][260/1879] lr: 1.0000e-04 eta: 2:27:24 time: 0.4328 data_time: 0.0176 memory: 17087 grad_norm: 7.0362 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9119 loss: 0.9119 2022/08/05 17:56:20 - mmengine - INFO - Epoch(train) [246][280/1879] lr: 1.0000e-04 eta: 2:27:16 time: 0.4299 data_time: 0.0175 memory: 17087 grad_norm: 7.5139 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8787 loss: 0.8787 2022/08/05 17:56:29 - mmengine - INFO - Epoch(train) [246][300/1879] lr: 1.0000e-04 eta: 2:27:07 time: 0.4315 data_time: 0.0144 memory: 17087 grad_norm: 6.9465 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6022 loss: 0.6022 2022/08/05 17:56:38 - mmengine - INFO - Epoch(train) [246][320/1879] lr: 1.0000e-04 eta: 2:26:58 time: 0.4790 data_time: 0.0213 memory: 17087 grad_norm: 7.0984 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7176 loss: 0.7176 2022/08/05 17:56:47 - mmengine - INFO - Epoch(train) [246][340/1879] lr: 1.0000e-04 eta: 2:26:50 time: 0.4322 data_time: 0.0136 memory: 17087 grad_norm: 7.3178 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6873 loss: 0.6873 2022/08/05 17:56:56 - mmengine - INFO - Epoch(train) [246][360/1879] lr: 1.0000e-04 eta: 2:26:41 time: 0.4634 data_time: 0.0231 memory: 17087 grad_norm: 7.2999 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8182 loss: 0.8182 2022/08/05 17:57:05 - mmengine - INFO - Epoch(train) [246][380/1879] lr: 1.0000e-04 eta: 2:26:32 time: 0.4323 data_time: 0.0161 memory: 17087 grad_norm: 7.4238 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7985 loss: 0.7985 2022/08/05 17:57:14 - mmengine - INFO - Epoch(train) [246][400/1879] lr: 1.0000e-04 eta: 2:26:24 time: 0.4485 data_time: 0.0230 memory: 17087 grad_norm: 7.1425 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7194 loss: 0.7194 2022/08/05 17:57:23 - mmengine - INFO - Epoch(train) [246][420/1879] lr: 1.0000e-04 eta: 2:26:15 time: 0.4321 data_time: 0.0147 memory: 17087 grad_norm: 7.3465 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.6984 loss: 0.6984 2022/08/05 17:57:32 - mmengine - INFO - Epoch(train) [246][440/1879] lr: 1.0000e-04 eta: 2:26:06 time: 0.4550 data_time: 0.0175 memory: 17087 grad_norm: 7.4297 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8005 loss: 0.8005 2022/08/05 17:57:40 - mmengine - INFO - Epoch(train) [246][460/1879] lr: 1.0000e-04 eta: 2:25:58 time: 0.4319 data_time: 0.0126 memory: 17087 grad_norm: 7.2401 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7690 loss: 0.7690 2022/08/05 17:57:49 - mmengine - INFO - Epoch(train) [246][480/1879] lr: 1.0000e-04 eta: 2:25:49 time: 0.4334 data_time: 0.0176 memory: 17087 grad_norm: 7.1137 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8342 loss: 0.8342 2022/08/05 17:57:58 - mmengine - INFO - Epoch(train) [246][500/1879] lr: 1.0000e-04 eta: 2:25:41 time: 0.4631 data_time: 0.0188 memory: 17087 grad_norm: 7.3348 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7148 loss: 0.7148 2022/08/05 17:58:07 - mmengine - INFO - Epoch(train) [246][520/1879] lr: 1.0000e-04 eta: 2:25:32 time: 0.4386 data_time: 0.0164 memory: 17087 grad_norm: 7.3852 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7287 loss: 0.7287 2022/08/05 17:58:16 - mmengine - INFO - Epoch(train) [246][540/1879] lr: 1.0000e-04 eta: 2:25:23 time: 0.4557 data_time: 0.0155 memory: 17087 grad_norm: 6.8529 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7734 loss: 0.7734 2022/08/05 17:58:25 - mmengine - INFO - Epoch(train) [246][560/1879] lr: 1.0000e-04 eta: 2:25:15 time: 0.4339 data_time: 0.0173 memory: 17087 grad_norm: 7.4420 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8645 loss: 0.8645 2022/08/05 17:58:34 - mmengine - INFO - Epoch(train) [246][580/1879] lr: 1.0000e-04 eta: 2:25:06 time: 0.4390 data_time: 0.0207 memory: 17087 grad_norm: 7.2294 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6835 loss: 0.6835 2022/08/05 17:58:43 - mmengine - INFO - Epoch(train) [246][600/1879] lr: 1.0000e-04 eta: 2:24:57 time: 0.4313 data_time: 0.0165 memory: 17087 grad_norm: 7.2708 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7495 loss: 0.7495 2022/08/05 17:58:51 - mmengine - INFO - Epoch(train) [246][620/1879] lr: 1.0000e-04 eta: 2:24:49 time: 0.4386 data_time: 0.0161 memory: 17087 grad_norm: 7.1224 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8427 loss: 0.8427 2022/08/05 17:59:00 - mmengine - INFO - Epoch(train) [246][640/1879] lr: 1.0000e-04 eta: 2:24:40 time: 0.4519 data_time: 0.0168 memory: 17087 grad_norm: 7.0886 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7845 loss: 0.7845 2022/08/05 17:59:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 17:59:09 - mmengine - INFO - Epoch(train) [246][660/1879] lr: 1.0000e-04 eta: 2:24:31 time: 0.4367 data_time: 0.0160 memory: 17087 grad_norm: 7.0277 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8961 loss: 0.8961 2022/08/05 17:59:18 - mmengine - INFO - Epoch(train) [246][680/1879] lr: 1.0000e-04 eta: 2:24:23 time: 0.4315 data_time: 0.0169 memory: 17087 grad_norm: 7.2914 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8246 loss: 0.8246 2022/08/05 17:59:27 - mmengine - INFO - Epoch(train) [246][700/1879] lr: 1.0000e-04 eta: 2:24:14 time: 0.4545 data_time: 0.0150 memory: 17087 grad_norm: 7.0264 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7611 loss: 0.7611 2022/08/05 17:59:36 - mmengine - INFO - Epoch(train) [246][720/1879] lr: 1.0000e-04 eta: 2:24:05 time: 0.4382 data_time: 0.0173 memory: 17087 grad_norm: 7.2558 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7520 loss: 0.7520 2022/08/05 17:59:45 - mmengine - INFO - Epoch(train) [246][740/1879] lr: 1.0000e-04 eta: 2:23:57 time: 0.4523 data_time: 0.0173 memory: 17087 grad_norm: 7.4048 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8873 loss: 0.8873 2022/08/05 17:59:53 - mmengine - INFO - Epoch(train) [246][760/1879] lr: 1.0000e-04 eta: 2:23:48 time: 0.4338 data_time: 0.0184 memory: 17087 grad_norm: 7.0680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7708 loss: 0.7708 2022/08/05 18:00:06 - mmengine - INFO - Epoch(train) [246][780/1879] lr: 1.0000e-04 eta: 2:23:39 time: 0.6050 data_time: 0.1221 memory: 17087 grad_norm: 7.1201 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8789 loss: 0.8789 2022/08/05 18:00:14 - mmengine - INFO - Epoch(train) [246][800/1879] lr: 1.0000e-04 eta: 2:23:31 time: 0.4327 data_time: 0.0187 memory: 17087 grad_norm: 6.8377 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7487 loss: 0.7487 2022/08/05 18:00:23 - mmengine - INFO - Epoch(train) [246][820/1879] lr: 1.0000e-04 eta: 2:23:22 time: 0.4465 data_time: 0.0158 memory: 17087 grad_norm: 7.0922 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6696 loss: 0.6696 2022/08/05 18:00:32 - mmengine - INFO - Epoch(train) [246][840/1879] lr: 1.0000e-04 eta: 2:23:13 time: 0.4301 data_time: 0.0167 memory: 17087 grad_norm: 7.3558 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8843 loss: 0.8843 2022/08/05 18:00:40 - mmengine - INFO - Epoch(train) [246][860/1879] lr: 1.0000e-04 eta: 2:23:05 time: 0.4292 data_time: 0.0150 memory: 17087 grad_norm: 7.2834 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.6619 loss: 0.6619 2022/08/05 18:00:49 - mmengine - INFO - Epoch(train) [246][880/1879] lr: 1.0000e-04 eta: 2:22:56 time: 0.4488 data_time: 0.0160 memory: 17087 grad_norm: 7.1053 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8187 loss: 0.8187 2022/08/05 18:00:58 - mmengine - INFO - Epoch(train) [246][900/1879] lr: 1.0000e-04 eta: 2:22:47 time: 0.4310 data_time: 0.0143 memory: 17087 grad_norm: 7.2746 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8195 loss: 0.8195 2022/08/05 18:01:07 - mmengine - INFO - Epoch(train) [246][920/1879] lr: 1.0000e-04 eta: 2:22:39 time: 0.4550 data_time: 0.0183 memory: 17087 grad_norm: 7.5084 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7176 loss: 0.7176 2022/08/05 18:01:16 - mmengine - INFO - Epoch(train) [246][940/1879] lr: 1.0000e-04 eta: 2:22:30 time: 0.4302 data_time: 0.0172 memory: 17087 grad_norm: 7.2795 top1_acc: 0.4375 top5_acc: 0.7500 loss_cls: 0.8476 loss: 0.8476 2022/08/05 18:01:25 - mmengine - INFO - Epoch(train) [246][960/1879] lr: 1.0000e-04 eta: 2:22:21 time: 0.4619 data_time: 0.0176 memory: 17087 grad_norm: 7.0087 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7916 loss: 0.7916 2022/08/05 18:01:34 - mmengine - INFO - Epoch(train) [246][980/1879] lr: 1.0000e-04 eta: 2:22:13 time: 0.4343 data_time: 0.0135 memory: 17087 grad_norm: 7.1239 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7908 loss: 0.7908 2022/08/05 18:01:43 - mmengine - INFO - Epoch(train) [246][1000/1879] lr: 1.0000e-04 eta: 2:22:04 time: 0.4381 data_time: 0.0183 memory: 17087 grad_norm: 7.3018 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8517 loss: 0.8517 2022/08/05 18:01:51 - mmengine - INFO - Epoch(train) [246][1020/1879] lr: 1.0000e-04 eta: 2:21:55 time: 0.4296 data_time: 0.0160 memory: 17087 grad_norm: 7.0580 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7965 loss: 0.7965 2022/08/05 18:02:00 - mmengine - INFO - Epoch(train) [246][1040/1879] lr: 1.0000e-04 eta: 2:21:47 time: 0.4317 data_time: 0.0166 memory: 17087 grad_norm: 7.3016 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7126 loss: 0.7126 2022/08/05 18:02:09 - mmengine - INFO - Epoch(train) [246][1060/1879] lr: 1.0000e-04 eta: 2:21:38 time: 0.4342 data_time: 0.0169 memory: 17087 grad_norm: 6.9953 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8893 loss: 0.8893 2022/08/05 18:02:17 - mmengine - INFO - Epoch(train) [246][1080/1879] lr: 1.0000e-04 eta: 2:21:29 time: 0.4326 data_time: 0.0175 memory: 17087 grad_norm: 7.2770 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8206 loss: 0.8206 2022/08/05 18:02:27 - mmengine - INFO - Epoch(train) [246][1100/1879] lr: 1.0000e-04 eta: 2:21:21 time: 0.4589 data_time: 0.0157 memory: 17087 grad_norm: 7.1204 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8478 loss: 0.8478 2022/08/05 18:02:35 - mmengine - INFO - Epoch(train) [246][1120/1879] lr: 1.0000e-04 eta: 2:21:12 time: 0.4330 data_time: 0.0181 memory: 17087 grad_norm: 7.0751 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7857 loss: 0.7857 2022/08/05 18:02:44 - mmengine - INFO - Epoch(train) [246][1140/1879] lr: 1.0000e-04 eta: 2:21:03 time: 0.4344 data_time: 0.0142 memory: 17087 grad_norm: 7.3930 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9477 loss: 0.9477 2022/08/05 18:02:53 - mmengine - INFO - Epoch(train) [246][1160/1879] lr: 1.0000e-04 eta: 2:20:55 time: 0.4575 data_time: 0.0178 memory: 17087 grad_norm: 7.2227 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6638 loss: 0.6638 2022/08/05 18:03:02 - mmengine - INFO - Epoch(train) [246][1180/1879] lr: 1.0000e-04 eta: 2:20:46 time: 0.4311 data_time: 0.0137 memory: 17087 grad_norm: 6.9991 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7399 loss: 0.7399 2022/08/05 18:03:10 - mmengine - INFO - Epoch(train) [246][1200/1879] lr: 1.0000e-04 eta: 2:20:37 time: 0.4374 data_time: 0.0213 memory: 17087 grad_norm: 7.3110 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8430 loss: 0.8430 2022/08/05 18:03:19 - mmengine - INFO - Epoch(train) [246][1220/1879] lr: 1.0000e-04 eta: 2:20:29 time: 0.4323 data_time: 0.0162 memory: 17087 grad_norm: 7.2934 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9009 loss: 0.9009 2022/08/05 18:03:28 - mmengine - INFO - Epoch(train) [246][1240/1879] lr: 1.0000e-04 eta: 2:20:20 time: 0.4321 data_time: 0.0165 memory: 17087 grad_norm: 7.0318 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9003 loss: 0.9003 2022/08/05 18:03:37 - mmengine - INFO - Epoch(train) [246][1260/1879] lr: 1.0000e-04 eta: 2:20:12 time: 0.4796 data_time: 0.0175 memory: 17087 grad_norm: 7.3872 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9942 loss: 0.9942 2022/08/05 18:03:46 - mmengine - INFO - Epoch(train) [246][1280/1879] lr: 1.0000e-04 eta: 2:20:03 time: 0.4312 data_time: 0.0160 memory: 17087 grad_norm: 7.1519 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6954 loss: 0.6954 2022/08/05 18:03:55 - mmengine - INFO - Epoch(train) [246][1300/1879] lr: 1.0000e-04 eta: 2:19:54 time: 0.4414 data_time: 0.0221 memory: 17087 grad_norm: 7.1323 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8674 loss: 0.8674 2022/08/05 18:04:04 - mmengine - INFO - Epoch(train) [246][1320/1879] lr: 1.0000e-04 eta: 2:19:46 time: 0.4333 data_time: 0.0170 memory: 17087 grad_norm: 7.3667 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8932 loss: 0.8932 2022/08/05 18:04:13 - mmengine - INFO - Epoch(train) [246][1340/1879] lr: 1.0000e-04 eta: 2:19:37 time: 0.4445 data_time: 0.0180 memory: 17087 grad_norm: 7.3735 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7577 loss: 0.7577 2022/08/05 18:04:21 - mmengine - INFO - Epoch(train) [246][1360/1879] lr: 1.0000e-04 eta: 2:19:28 time: 0.4318 data_time: 0.0166 memory: 17087 grad_norm: 7.2082 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7619 loss: 0.7619 2022/08/05 18:04:30 - mmengine - INFO - Epoch(train) [246][1380/1879] lr: 1.0000e-04 eta: 2:19:20 time: 0.4304 data_time: 0.0131 memory: 17087 grad_norm: 7.1517 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8900 loss: 0.8900 2022/08/05 18:04:39 - mmengine - INFO - Epoch(train) [246][1400/1879] lr: 1.0000e-04 eta: 2:19:11 time: 0.4500 data_time: 0.0234 memory: 17087 grad_norm: 7.0423 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7209 loss: 0.7209 2022/08/05 18:04:48 - mmengine - INFO - Epoch(train) [246][1420/1879] lr: 1.0000e-04 eta: 2:19:02 time: 0.4324 data_time: 0.0144 memory: 17087 grad_norm: 7.1564 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8407 loss: 0.8407 2022/08/05 18:04:56 - mmengine - INFO - Epoch(train) [246][1440/1879] lr: 1.0000e-04 eta: 2:18:54 time: 0.4385 data_time: 0.0192 memory: 17087 grad_norm: 7.2796 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8759 loss: 0.8759 2022/08/05 18:05:05 - mmengine - INFO - Epoch(train) [246][1460/1879] lr: 1.0000e-04 eta: 2:18:45 time: 0.4293 data_time: 0.0127 memory: 17087 grad_norm: 7.1042 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8456 loss: 0.8456 2022/08/05 18:05:14 - mmengine - INFO - Epoch(train) [246][1480/1879] lr: 1.0000e-04 eta: 2:18:36 time: 0.4540 data_time: 0.0244 memory: 17087 grad_norm: 7.1498 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9107 loss: 0.9107 2022/08/05 18:05:23 - mmengine - INFO - Epoch(train) [246][1500/1879] lr: 1.0000e-04 eta: 2:18:28 time: 0.4320 data_time: 0.0167 memory: 17087 grad_norm: 7.0831 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9161 loss: 0.9161 2022/08/05 18:05:31 - mmengine - INFO - Epoch(train) [246][1520/1879] lr: 1.0000e-04 eta: 2:18:19 time: 0.4357 data_time: 0.0215 memory: 17087 grad_norm: 7.1137 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8777 loss: 0.8777 2022/08/05 18:05:41 - mmengine - INFO - Epoch(train) [246][1540/1879] lr: 1.0000e-04 eta: 2:18:10 time: 0.4592 data_time: 0.0154 memory: 17087 grad_norm: 6.9248 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7357 loss: 0.7357 2022/08/05 18:05:49 - mmengine - INFO - Epoch(train) [246][1560/1879] lr: 1.0000e-04 eta: 2:18:02 time: 0.4308 data_time: 0.0170 memory: 17087 grad_norm: 7.2154 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8626 loss: 0.8626 2022/08/05 18:05:58 - mmengine - INFO - Epoch(train) [246][1580/1879] lr: 1.0000e-04 eta: 2:17:53 time: 0.4548 data_time: 0.0166 memory: 17087 grad_norm: 7.1572 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7267 loss: 0.7267 2022/08/05 18:06:07 - mmengine - INFO - Epoch(train) [246][1600/1879] lr: 1.0000e-04 eta: 2:17:44 time: 0.4333 data_time: 0.0174 memory: 17087 grad_norm: 7.2653 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7926 loss: 0.7926 2022/08/05 18:06:16 - mmengine - INFO - Epoch(train) [246][1620/1879] lr: 1.0000e-04 eta: 2:17:36 time: 0.4407 data_time: 0.0143 memory: 17087 grad_norm: 7.2460 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7428 loss: 0.7428 2022/08/05 18:06:25 - mmengine - INFO - Epoch(train) [246][1640/1879] lr: 1.0000e-04 eta: 2:17:27 time: 0.4317 data_time: 0.0170 memory: 17087 grad_norm: 7.2082 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8624 loss: 0.8624 2022/08/05 18:06:27 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 18:06:33 - mmengine - INFO - Epoch(train) [246][1660/1879] lr: 1.0000e-04 eta: 2:17:18 time: 0.4429 data_time: 0.0160 memory: 17087 grad_norm: 7.5368 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7375 loss: 0.7375 2022/08/05 18:06:42 - mmengine - INFO - Epoch(train) [246][1680/1879] lr: 1.0000e-04 eta: 2:17:10 time: 0.4330 data_time: 0.0160 memory: 17087 grad_norm: 7.2299 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7777 loss: 0.7777 2022/08/05 18:06:51 - mmengine - INFO - Epoch(train) [246][1700/1879] lr: 1.0000e-04 eta: 2:17:01 time: 0.4309 data_time: 0.0161 memory: 17087 grad_norm: 7.2069 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8652 loss: 0.8652 2022/08/05 18:07:00 - mmengine - INFO - Epoch(train) [246][1720/1879] lr: 1.0000e-04 eta: 2:16:52 time: 0.4371 data_time: 0.0170 memory: 17087 grad_norm: 7.2091 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8579 loss: 0.8579 2022/08/05 18:07:08 - mmengine - INFO - Epoch(train) [246][1740/1879] lr: 1.0000e-04 eta: 2:16:44 time: 0.4347 data_time: 0.0159 memory: 17087 grad_norm: 7.2145 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7497 loss: 0.7497 2022/08/05 18:07:17 - mmengine - INFO - Epoch(train) [246][1760/1879] lr: 1.0000e-04 eta: 2:16:35 time: 0.4420 data_time: 0.0226 memory: 17087 grad_norm: 7.1093 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7984 loss: 0.7984 2022/08/05 18:07:26 - mmengine - INFO - Epoch(train) [246][1780/1879] lr: 1.0000e-04 eta: 2:16:26 time: 0.4306 data_time: 0.0154 memory: 17087 grad_norm: 7.5354 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7779 loss: 0.7779 2022/08/05 18:07:35 - mmengine - INFO - Epoch(train) [246][1800/1879] lr: 1.0000e-04 eta: 2:16:18 time: 0.4367 data_time: 0.0177 memory: 17087 grad_norm: 7.2708 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7648 loss: 0.7648 2022/08/05 18:07:43 - mmengine - INFO - Epoch(train) [246][1820/1879] lr: 1.0000e-04 eta: 2:16:09 time: 0.4330 data_time: 0.0166 memory: 17087 grad_norm: 7.5354 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8927 loss: 0.8927 2022/08/05 18:07:52 - mmengine - INFO - Epoch(train) [246][1840/1879] lr: 1.0000e-04 eta: 2:16:00 time: 0.4321 data_time: 0.0154 memory: 17087 grad_norm: 7.3735 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7905 loss: 0.7905 2022/08/05 18:08:01 - mmengine - INFO - Epoch(train) [246][1860/1879] lr: 1.0000e-04 eta: 2:15:52 time: 0.4439 data_time: 0.0162 memory: 17087 grad_norm: 7.6759 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8642 loss: 0.8642 2022/08/05 18:08:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 18:08:09 - mmengine - INFO - Epoch(train) [246][1879/1879] lr: 1.0000e-04 eta: 2:15:52 time: 0.4124 data_time: 0.0154 memory: 17087 grad_norm: 7.3001 top1_acc: 0.7143 top5_acc: 1.0000 loss_cls: 0.6914 loss: 0.6914 2022/08/05 18:08:20 - mmengine - INFO - Epoch(train) [247][20/1879] lr: 1.0000e-04 eta: 2:15:34 time: 0.5688 data_time: 0.1248 memory: 17087 grad_norm: 7.0983 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8560 loss: 0.8560 2022/08/05 18:08:29 - mmengine - INFO - Epoch(train) [247][40/1879] lr: 1.0000e-04 eta: 2:15:26 time: 0.4313 data_time: 0.0182 memory: 17087 grad_norm: 7.3429 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7924 loss: 0.7924 2022/08/05 18:08:37 - mmengine - INFO - Epoch(train) [247][60/1879] lr: 1.0000e-04 eta: 2:15:17 time: 0.4346 data_time: 0.0185 memory: 17087 grad_norm: 7.0086 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7942 loss: 0.7942 2022/08/05 18:08:46 - mmengine - INFO - Epoch(train) [247][80/1879] lr: 1.0000e-04 eta: 2:15:08 time: 0.4327 data_time: 0.0154 memory: 17087 grad_norm: 7.2577 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7110 loss: 0.7110 2022/08/05 18:08:55 - mmengine - INFO - Epoch(train) [247][100/1879] lr: 1.0000e-04 eta: 2:15:00 time: 0.4385 data_time: 0.0161 memory: 17087 grad_norm: 7.4245 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8023 loss: 0.8023 2022/08/05 18:09:04 - mmengine - INFO - Epoch(train) [247][120/1879] lr: 1.0000e-04 eta: 2:14:51 time: 0.4322 data_time: 0.0157 memory: 17087 grad_norm: 7.0499 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7629 loss: 0.7629 2022/08/05 18:09:12 - mmengine - INFO - Epoch(train) [247][140/1879] lr: 1.0000e-04 eta: 2:14:42 time: 0.4366 data_time: 0.0150 memory: 17087 grad_norm: 7.0445 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7730 loss: 0.7730 2022/08/05 18:09:21 - mmengine - INFO - Epoch(train) [247][160/1879] lr: 1.0000e-04 eta: 2:14:34 time: 0.4407 data_time: 0.0163 memory: 17087 grad_norm: 7.3201 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8711 loss: 0.8711 2022/08/05 18:09:30 - mmengine - INFO - Epoch(train) [247][180/1879] lr: 1.0000e-04 eta: 2:14:25 time: 0.4308 data_time: 0.0196 memory: 17087 grad_norm: 7.0872 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8747 loss: 0.8747 2022/08/05 18:09:39 - mmengine - INFO - Epoch(train) [247][200/1879] lr: 1.0000e-04 eta: 2:14:16 time: 0.4703 data_time: 0.0177 memory: 17087 grad_norm: 7.1319 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7634 loss: 0.7634 2022/08/05 18:09:49 - mmengine - INFO - Epoch(train) [247][220/1879] lr: 1.0000e-04 eta: 2:14:08 time: 0.4796 data_time: 0.0187 memory: 17087 grad_norm: 7.1939 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7410 loss: 0.7410 2022/08/05 18:09:58 - mmengine - INFO - Epoch(train) [247][240/1879] lr: 1.0000e-04 eta: 2:13:59 time: 0.4311 data_time: 0.0179 memory: 17087 grad_norm: 7.2030 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6923 loss: 0.6923 2022/08/05 18:10:06 - mmengine - INFO - Epoch(train) [247][260/1879] lr: 1.0000e-04 eta: 2:13:50 time: 0.4420 data_time: 0.0238 memory: 17087 grad_norm: 6.9520 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7783 loss: 0.7783 2022/08/05 18:10:15 - mmengine - INFO - Epoch(train) [247][280/1879] lr: 1.0000e-04 eta: 2:13:42 time: 0.4327 data_time: 0.0164 memory: 17087 grad_norm: 7.0800 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7030 loss: 0.7030 2022/08/05 18:10:24 - mmengine - INFO - Epoch(train) [247][300/1879] lr: 1.0000e-04 eta: 2:13:33 time: 0.4330 data_time: 0.0163 memory: 17087 grad_norm: 7.4515 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8959 loss: 0.8959 2022/08/05 18:10:32 - mmengine - INFO - Epoch(train) [247][320/1879] lr: 1.0000e-04 eta: 2:13:24 time: 0.4327 data_time: 0.0157 memory: 17087 grad_norm: 7.2374 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 1.0454 loss: 1.0454 2022/08/05 18:10:41 - mmengine - INFO - Epoch(train) [247][340/1879] lr: 1.0000e-04 eta: 2:13:16 time: 0.4316 data_time: 0.0163 memory: 17087 grad_norm: 6.9745 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7301 loss: 0.7301 2022/08/05 18:10:50 - mmengine - INFO - Epoch(train) [247][360/1879] lr: 1.0000e-04 eta: 2:13:07 time: 0.4385 data_time: 0.0196 memory: 17087 grad_norm: 7.3313 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8361 loss: 0.8361 2022/08/05 18:10:59 - mmengine - INFO - Epoch(train) [247][380/1879] lr: 1.0000e-04 eta: 2:12:58 time: 0.4381 data_time: 0.0168 memory: 17087 grad_norm: 7.1977 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7052 loss: 0.7052 2022/08/05 18:11:07 - mmengine - INFO - Epoch(train) [247][400/1879] lr: 1.0000e-04 eta: 2:12:50 time: 0.4331 data_time: 0.0166 memory: 17087 grad_norm: 7.1908 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7948 loss: 0.7948 2022/08/05 18:11:16 - mmengine - INFO - Epoch(train) [247][420/1879] lr: 1.0000e-04 eta: 2:12:41 time: 0.4405 data_time: 0.0164 memory: 17087 grad_norm: 7.1825 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9671 loss: 0.9671 2022/08/05 18:11:25 - mmengine - INFO - Epoch(train) [247][440/1879] lr: 1.0000e-04 eta: 2:12:32 time: 0.4316 data_time: 0.0155 memory: 17087 grad_norm: 7.2090 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8254 loss: 0.8254 2022/08/05 18:11:34 - mmengine - INFO - Epoch(train) [247][460/1879] lr: 1.0000e-04 eta: 2:12:24 time: 0.4662 data_time: 0.0167 memory: 17087 grad_norm: 7.2475 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8027 loss: 0.8027 2022/08/05 18:11:43 - mmengine - INFO - Epoch(train) [247][480/1879] lr: 1.0000e-04 eta: 2:12:15 time: 0.4315 data_time: 0.0166 memory: 17087 grad_norm: 7.1954 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7126 loss: 0.7126 2022/08/05 18:11:52 - mmengine - INFO - Epoch(train) [247][500/1879] lr: 1.0000e-04 eta: 2:12:07 time: 0.4319 data_time: 0.0149 memory: 17087 grad_norm: 7.3966 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9895 loss: 0.9895 2022/08/05 18:12:01 - mmengine - INFO - Epoch(train) [247][520/1879] lr: 1.0000e-04 eta: 2:11:58 time: 0.4591 data_time: 0.0175 memory: 17087 grad_norm: 7.0609 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6140 loss: 0.6140 2022/08/05 18:12:09 - mmengine - INFO - Epoch(train) [247][540/1879] lr: 1.0000e-04 eta: 2:11:49 time: 0.4313 data_time: 0.0154 memory: 17087 grad_norm: 6.9114 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6662 loss: 0.6662 2022/08/05 18:12:18 - mmengine - INFO - Epoch(train) [247][560/1879] lr: 1.0000e-04 eta: 2:11:41 time: 0.4417 data_time: 0.0188 memory: 17087 grad_norm: 7.4186 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7116 loss: 0.7116 2022/08/05 18:12:27 - mmengine - INFO - Epoch(train) [247][580/1879] lr: 1.0000e-04 eta: 2:11:32 time: 0.4311 data_time: 0.0160 memory: 17087 grad_norm: 7.4902 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7944 loss: 0.7944 2022/08/05 18:12:36 - mmengine - INFO - Epoch(train) [247][600/1879] lr: 1.0000e-04 eta: 2:11:23 time: 0.4784 data_time: 0.0190 memory: 17087 grad_norm: 7.4661 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8268 loss: 0.8268 2022/08/05 18:12:45 - mmengine - INFO - Epoch(train) [247][620/1879] lr: 1.0000e-04 eta: 2:11:15 time: 0.4317 data_time: 0.0159 memory: 17087 grad_norm: 7.3981 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7465 loss: 0.7465 2022/08/05 18:12:54 - mmengine - INFO - Epoch(train) [247][640/1879] lr: 1.0000e-04 eta: 2:11:06 time: 0.4439 data_time: 0.0171 memory: 17087 grad_norm: 7.0838 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 1.0319 loss: 1.0319 2022/08/05 18:13:03 - mmengine - INFO - Epoch(train) [247][660/1879] lr: 1.0000e-04 eta: 2:10:57 time: 0.4316 data_time: 0.0155 memory: 17087 grad_norm: 7.1819 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8659 loss: 0.8659 2022/08/05 18:13:11 - mmengine - INFO - Epoch(train) [247][680/1879] lr: 1.0000e-04 eta: 2:10:49 time: 0.4313 data_time: 0.0160 memory: 17087 grad_norm: 7.5035 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8608 loss: 0.8608 2022/08/05 18:13:21 - mmengine - INFO - Epoch(train) [247][700/1879] lr: 1.0000e-04 eta: 2:10:40 time: 0.4722 data_time: 0.0173 memory: 17087 grad_norm: 7.0287 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7322 loss: 0.7322 2022/08/05 18:13:29 - mmengine - INFO - Epoch(train) [247][720/1879] lr: 1.0000e-04 eta: 2:10:31 time: 0.4340 data_time: 0.0178 memory: 17087 grad_norm: 7.3589 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9330 loss: 0.9330 2022/08/05 18:13:39 - mmengine - INFO - Epoch(train) [247][740/1879] lr: 1.0000e-04 eta: 2:10:23 time: 0.4583 data_time: 0.0188 memory: 17087 grad_norm: 7.1948 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7724 loss: 0.7724 2022/08/05 18:13:47 - mmengine - INFO - Epoch(train) [247][760/1879] lr: 1.0000e-04 eta: 2:10:14 time: 0.4333 data_time: 0.0158 memory: 17087 grad_norm: 7.2320 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7702 loss: 0.7702 2022/08/05 18:13:50 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 18:13:56 - mmengine - INFO - Epoch(train) [247][780/1879] lr: 1.0000e-04 eta: 2:10:05 time: 0.4394 data_time: 0.0169 memory: 17087 grad_norm: 7.1436 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6704 loss: 0.6704 2022/08/05 18:14:05 - mmengine - INFO - Epoch(train) [247][800/1879] lr: 1.0000e-04 eta: 2:09:57 time: 0.4310 data_time: 0.0156 memory: 17087 grad_norm: 7.2112 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8254 loss: 0.8254 2022/08/05 18:14:14 - mmengine - INFO - Epoch(train) [247][820/1879] lr: 1.0000e-04 eta: 2:09:48 time: 0.4743 data_time: 0.0196 memory: 17087 grad_norm: 7.2525 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9487 loss: 0.9487 2022/08/05 18:14:23 - mmengine - INFO - Epoch(train) [247][840/1879] lr: 1.0000e-04 eta: 2:09:39 time: 0.4294 data_time: 0.0158 memory: 17087 grad_norm: 7.5020 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7535 loss: 0.7535 2022/08/05 18:14:32 - mmengine - INFO - Epoch(train) [247][860/1879] lr: 1.0000e-04 eta: 2:09:31 time: 0.4311 data_time: 0.0146 memory: 17087 grad_norm: 7.3669 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8117 loss: 0.8117 2022/08/05 18:14:41 - mmengine - INFO - Epoch(train) [247][880/1879] lr: 1.0000e-04 eta: 2:09:22 time: 0.4449 data_time: 0.0174 memory: 17087 grad_norm: 7.1226 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7018 loss: 0.7018 2022/08/05 18:14:49 - mmengine - INFO - Epoch(train) [247][900/1879] lr: 1.0000e-04 eta: 2:09:13 time: 0.4320 data_time: 0.0157 memory: 17087 grad_norm: 7.1043 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8662 loss: 0.8662 2022/08/05 18:14:58 - mmengine - INFO - Epoch(train) [247][920/1879] lr: 1.0000e-04 eta: 2:09:05 time: 0.4593 data_time: 0.0173 memory: 17087 grad_norm: 7.4391 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8480 loss: 0.8480 2022/08/05 18:15:07 - mmengine - INFO - Epoch(train) [247][940/1879] lr: 1.0000e-04 eta: 2:08:56 time: 0.4321 data_time: 0.0154 memory: 17087 grad_norm: 7.0901 top1_acc: 0.5000 top5_acc: 0.8750 loss_cls: 0.9228 loss: 0.9228 2022/08/05 18:15:16 - mmengine - INFO - Epoch(train) [247][960/1879] lr: 1.0000e-04 eta: 2:08:47 time: 0.4470 data_time: 0.0185 memory: 17087 grad_norm: 7.0680 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6856 loss: 0.6856 2022/08/05 18:15:25 - mmengine - INFO - Epoch(train) [247][980/1879] lr: 1.0000e-04 eta: 2:08:39 time: 0.4313 data_time: 0.0161 memory: 17087 grad_norm: 7.2968 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7668 loss: 0.7668 2022/08/05 18:15:34 - mmengine - INFO - Epoch(train) [247][1000/1879] lr: 1.0000e-04 eta: 2:08:30 time: 0.4766 data_time: 0.0175 memory: 17087 grad_norm: 7.2005 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8704 loss: 0.8704 2022/08/05 18:15:43 - mmengine - INFO - Epoch(train) [247][1020/1879] lr: 1.0000e-04 eta: 2:08:21 time: 0.4298 data_time: 0.0156 memory: 17087 grad_norm: 7.1395 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7936 loss: 0.7936 2022/08/05 18:15:51 - mmengine - INFO - Epoch(train) [247][1040/1879] lr: 1.0000e-04 eta: 2:08:13 time: 0.4315 data_time: 0.0159 memory: 17087 grad_norm: 7.5449 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8753 loss: 0.8753 2022/08/05 18:16:01 - mmengine - INFO - Epoch(train) [247][1060/1879] lr: 1.0000e-04 eta: 2:08:04 time: 0.4529 data_time: 0.0199 memory: 17087 grad_norm: 7.1378 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7559 loss: 0.7559 2022/08/05 18:16:09 - mmengine - INFO - Epoch(train) [247][1080/1879] lr: 1.0000e-04 eta: 2:07:55 time: 0.4371 data_time: 0.0173 memory: 17087 grad_norm: 7.1608 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9261 loss: 0.9261 2022/08/05 18:16:19 - mmengine - INFO - Epoch(train) [247][1100/1879] lr: 1.0000e-04 eta: 2:07:47 time: 0.4612 data_time: 0.0147 memory: 17087 grad_norm: 7.3701 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9201 loss: 0.9201 2022/08/05 18:16:27 - mmengine - INFO - Epoch(train) [247][1120/1879] lr: 1.0000e-04 eta: 2:07:38 time: 0.4332 data_time: 0.0176 memory: 17087 grad_norm: 7.3099 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8538 loss: 0.8538 2022/08/05 18:16:37 - mmengine - INFO - Epoch(train) [247][1140/1879] lr: 1.0000e-04 eta: 2:07:29 time: 0.4629 data_time: 0.0174 memory: 17087 grad_norm: 7.2765 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7665 loss: 0.7665 2022/08/05 18:16:45 - mmengine - INFO - Epoch(train) [247][1160/1879] lr: 1.0000e-04 eta: 2:07:21 time: 0.4331 data_time: 0.0168 memory: 17087 grad_norm: 7.2502 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8369 loss: 0.8369 2022/08/05 18:16:54 - mmengine - INFO - Epoch(train) [247][1180/1879] lr: 1.0000e-04 eta: 2:07:12 time: 0.4371 data_time: 0.0185 memory: 17087 grad_norm: 7.0826 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8057 loss: 0.8057 2022/08/05 18:17:03 - mmengine - INFO - Epoch(train) [247][1200/1879] lr: 1.0000e-04 eta: 2:07:03 time: 0.4332 data_time: 0.0159 memory: 17087 grad_norm: 7.1247 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6791 loss: 0.6791 2022/08/05 18:17:11 - mmengine - INFO - Epoch(train) [247][1220/1879] lr: 1.0000e-04 eta: 2:06:55 time: 0.4317 data_time: 0.0143 memory: 17087 grad_norm: 7.3389 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7999 loss: 0.7999 2022/08/05 18:17:20 - mmengine - INFO - Epoch(train) [247][1240/1879] lr: 1.0000e-04 eta: 2:06:46 time: 0.4415 data_time: 0.0180 memory: 17087 grad_norm: 7.1342 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8170 loss: 0.8170 2022/08/05 18:17:29 - mmengine - INFO - Epoch(train) [247][1260/1879] lr: 1.0000e-04 eta: 2:06:37 time: 0.4308 data_time: 0.0172 memory: 17087 grad_norm: 7.1699 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.8754 loss: 0.8754 2022/08/05 18:17:38 - mmengine - INFO - Epoch(train) [247][1280/1879] lr: 1.0000e-04 eta: 2:06:29 time: 0.4520 data_time: 0.0190 memory: 17087 grad_norm: 7.2321 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6971 loss: 0.6971 2022/08/05 18:17:47 - mmengine - INFO - Epoch(train) [247][1300/1879] lr: 1.0000e-04 eta: 2:06:20 time: 0.4313 data_time: 0.0156 memory: 17087 grad_norm: 7.1840 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7536 loss: 0.7536 2022/08/05 18:17:56 - mmengine - INFO - Epoch(train) [247][1320/1879] lr: 1.0000e-04 eta: 2:06:11 time: 0.4586 data_time: 0.0196 memory: 17087 grad_norm: 7.4180 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9636 loss: 0.9636 2022/08/05 18:18:04 - mmengine - INFO - Epoch(train) [247][1340/1879] lr: 1.0000e-04 eta: 2:06:03 time: 0.4312 data_time: 0.0176 memory: 17087 grad_norm: 7.1976 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8174 loss: 0.8174 2022/08/05 18:18:13 - mmengine - INFO - Epoch(train) [247][1360/1879] lr: 1.0000e-04 eta: 2:05:54 time: 0.4382 data_time: 0.0167 memory: 17087 grad_norm: 7.4991 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8750 loss: 0.8750 2022/08/05 18:18:22 - mmengine - INFO - Epoch(train) [247][1380/1879] lr: 1.0000e-04 eta: 2:05:45 time: 0.4472 data_time: 0.0138 memory: 17087 grad_norm: 7.0005 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8480 loss: 0.8480 2022/08/05 18:18:31 - mmengine - INFO - Epoch(train) [247][1400/1879] lr: 1.0000e-04 eta: 2:05:37 time: 0.4373 data_time: 0.0170 memory: 17087 grad_norm: 7.2122 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7559 loss: 0.7559 2022/08/05 18:18:40 - mmengine - INFO - Epoch(train) [247][1420/1879] lr: 1.0000e-04 eta: 2:05:28 time: 0.4423 data_time: 0.0156 memory: 17087 grad_norm: 7.2061 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9234 loss: 0.9234 2022/08/05 18:18:48 - mmengine - INFO - Epoch(train) [247][1440/1879] lr: 1.0000e-04 eta: 2:05:19 time: 0.4326 data_time: 0.0181 memory: 17087 grad_norm: 7.1391 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8516 loss: 0.8516 2022/08/05 18:18:57 - mmengine - INFO - Epoch(train) [247][1460/1879] lr: 1.0000e-04 eta: 2:05:11 time: 0.4391 data_time: 0.0172 memory: 17087 grad_norm: 7.2529 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8316 loss: 0.8316 2022/08/05 18:19:06 - mmengine - INFO - Epoch(train) [247][1480/1879] lr: 1.0000e-04 eta: 2:05:02 time: 0.4365 data_time: 0.0176 memory: 17087 grad_norm: 7.0040 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6815 loss: 0.6815 2022/08/05 18:19:15 - mmengine - INFO - Epoch(train) [247][1500/1879] lr: 1.0000e-04 eta: 2:04:53 time: 0.4621 data_time: 0.0163 memory: 17087 grad_norm: 7.0460 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6141 loss: 0.6141 2022/08/05 18:19:24 - mmengine - INFO - Epoch(train) [247][1520/1879] lr: 1.0000e-04 eta: 2:04:45 time: 0.4321 data_time: 0.0168 memory: 17087 grad_norm: 7.2429 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9078 loss: 0.9078 2022/08/05 18:19:35 - mmengine - INFO - Epoch(train) [247][1540/1879] lr: 1.0000e-04 eta: 2:04:36 time: 0.5315 data_time: 0.0148 memory: 17087 grad_norm: 7.2980 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7559 loss: 0.7559 2022/08/05 18:19:43 - mmengine - INFO - Epoch(train) [247][1560/1879] lr: 1.0000e-04 eta: 2:04:28 time: 0.4294 data_time: 0.0162 memory: 17087 grad_norm: 7.0696 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6989 loss: 0.6989 2022/08/05 18:19:52 - mmengine - INFO - Epoch(train) [247][1580/1879] lr: 1.0000e-04 eta: 2:04:19 time: 0.4387 data_time: 0.0150 memory: 17087 grad_norm: 7.4791 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.8521 loss: 0.8521 2022/08/05 18:20:01 - mmengine - INFO - Epoch(train) [247][1600/1879] lr: 1.0000e-04 eta: 2:04:10 time: 0.4377 data_time: 0.0183 memory: 17087 grad_norm: 7.3143 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7278 loss: 0.7278 2022/08/05 18:20:09 - mmengine - INFO - Epoch(train) [247][1620/1879] lr: 1.0000e-04 eta: 2:04:02 time: 0.4322 data_time: 0.0162 memory: 17087 grad_norm: 7.2478 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9038 loss: 0.9038 2022/08/05 18:20:18 - mmengine - INFO - Epoch(train) [247][1640/1879] lr: 1.0000e-04 eta: 2:03:53 time: 0.4371 data_time: 0.0179 memory: 17087 grad_norm: 7.4021 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9909 loss: 0.9909 2022/08/05 18:20:27 - mmengine - INFO - Epoch(train) [247][1660/1879] lr: 1.0000e-04 eta: 2:03:44 time: 0.4323 data_time: 0.0146 memory: 17087 grad_norm: 6.9788 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7747 loss: 0.7747 2022/08/05 18:20:36 - mmengine - INFO - Epoch(train) [247][1680/1879] lr: 1.0000e-04 eta: 2:03:36 time: 0.4358 data_time: 0.0164 memory: 17087 grad_norm: 7.1145 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7889 loss: 0.7889 2022/08/05 18:20:44 - mmengine - INFO - Epoch(train) [247][1700/1879] lr: 1.0000e-04 eta: 2:03:27 time: 0.4331 data_time: 0.0175 memory: 17087 grad_norm: 7.3078 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8204 loss: 0.8204 2022/08/05 18:20:53 - mmengine - INFO - Epoch(train) [247][1720/1879] lr: 1.0000e-04 eta: 2:03:18 time: 0.4332 data_time: 0.0161 memory: 17087 grad_norm: 7.4071 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7175 loss: 0.7175 2022/08/05 18:21:02 - mmengine - INFO - Epoch(train) [247][1740/1879] lr: 1.0000e-04 eta: 2:03:10 time: 0.4401 data_time: 0.0155 memory: 17087 grad_norm: 7.2148 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7649 loss: 0.7649 2022/08/05 18:21:11 - mmengine - INFO - Epoch(train) [247][1760/1879] lr: 1.0000e-04 eta: 2:03:01 time: 0.4354 data_time: 0.0169 memory: 17087 grad_norm: 7.2746 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7133 loss: 0.7133 2022/08/05 18:21:13 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 18:21:20 - mmengine - INFO - Epoch(train) [247][1780/1879] lr: 1.0000e-04 eta: 2:02:52 time: 0.4503 data_time: 0.0154 memory: 17087 grad_norm: 7.4203 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8498 loss: 0.8498 2022/08/05 18:21:28 - mmengine - INFO - Epoch(train) [247][1800/1879] lr: 1.0000e-04 eta: 2:02:44 time: 0.4338 data_time: 0.0178 memory: 17087 grad_norm: 7.4577 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8202 loss: 0.8202 2022/08/05 18:21:37 - mmengine - INFO - Epoch(train) [247][1820/1879] lr: 1.0000e-04 eta: 2:02:35 time: 0.4324 data_time: 0.0151 memory: 17087 grad_norm: 7.5992 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8481 loss: 0.8481 2022/08/05 18:21:46 - mmengine - INFO - Epoch(train) [247][1840/1879] lr: 1.0000e-04 eta: 2:02:26 time: 0.4333 data_time: 0.0168 memory: 17087 grad_norm: 7.2692 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7819 loss: 0.7819 2022/08/05 18:21:55 - mmengine - INFO - Epoch(train) [247][1860/1879] lr: 1.0000e-04 eta: 2:02:18 time: 0.4631 data_time: 0.0164 memory: 17087 grad_norm: 7.3280 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8359 loss: 0.8359 2022/08/05 18:22:03 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 18:22:03 - mmengine - INFO - Epoch(train) [247][1879/1879] lr: 1.0000e-04 eta: 2:02:18 time: 0.4099 data_time: 0.0153 memory: 17087 grad_norm: 7.1434 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8521 loss: 0.8521 2022/08/05 18:22:14 - mmengine - INFO - Epoch(train) [248][20/1879] lr: 1.0000e-04 eta: 2:02:00 time: 0.5838 data_time: 0.1014 memory: 17087 grad_norm: 7.0974 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8501 loss: 0.8501 2022/08/05 18:22:23 - mmengine - INFO - Epoch(train) [248][40/1879] lr: 1.0000e-04 eta: 2:01:52 time: 0.4324 data_time: 0.0166 memory: 17087 grad_norm: 7.3475 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8693 loss: 0.8693 2022/08/05 18:22:32 - mmengine - INFO - Epoch(train) [248][60/1879] lr: 1.0000e-04 eta: 2:01:43 time: 0.4347 data_time: 0.0194 memory: 17087 grad_norm: 7.4002 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8922 loss: 0.8922 2022/08/05 18:22:41 - mmengine - INFO - Epoch(train) [248][80/1879] lr: 1.0000e-04 eta: 2:01:34 time: 0.4660 data_time: 0.0175 memory: 17087 grad_norm: 6.9927 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7362 loss: 0.7362 2022/08/05 18:22:50 - mmengine - INFO - Epoch(train) [248][100/1879] lr: 1.0000e-04 eta: 2:01:26 time: 0.4385 data_time: 0.0193 memory: 17087 grad_norm: 7.0701 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8924 loss: 0.8924 2022/08/05 18:22:59 - mmengine - INFO - Epoch(train) [248][120/1879] lr: 1.0000e-04 eta: 2:01:17 time: 0.4497 data_time: 0.0177 memory: 17087 grad_norm: 6.8190 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9293 loss: 0.9293 2022/08/05 18:23:08 - mmengine - INFO - Epoch(train) [248][140/1879] lr: 1.0000e-04 eta: 2:01:08 time: 0.4363 data_time: 0.0161 memory: 17087 grad_norm: 7.2233 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8373 loss: 0.8373 2022/08/05 18:23:17 - mmengine - INFO - Epoch(train) [248][160/1879] lr: 1.0000e-04 eta: 2:01:00 time: 0.4520 data_time: 0.0163 memory: 17087 grad_norm: 7.1867 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7162 loss: 0.7162 2022/08/05 18:23:26 - mmengine - INFO - Epoch(train) [248][180/1879] lr: 1.0000e-04 eta: 2:00:51 time: 0.4469 data_time: 0.0188 memory: 17087 grad_norm: 7.5102 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6993 loss: 0.6993 2022/08/05 18:23:35 - mmengine - INFO - Epoch(train) [248][200/1879] lr: 1.0000e-04 eta: 2:00:42 time: 0.4406 data_time: 0.0177 memory: 17087 grad_norm: 6.9619 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7068 loss: 0.7068 2022/08/05 18:23:43 - mmengine - INFO - Epoch(train) [248][220/1879] lr: 1.0000e-04 eta: 2:00:34 time: 0.4318 data_time: 0.0142 memory: 17087 grad_norm: 7.2070 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8998 loss: 0.8998 2022/08/05 18:23:52 - mmengine - INFO - Epoch(train) [248][240/1879] lr: 1.0000e-04 eta: 2:00:25 time: 0.4449 data_time: 0.0193 memory: 17087 grad_norm: 7.3267 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8157 loss: 0.8157 2022/08/05 18:24:01 - mmengine - INFO - Epoch(train) [248][260/1879] lr: 1.0000e-04 eta: 2:00:16 time: 0.4331 data_time: 0.0132 memory: 17087 grad_norm: 6.8925 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7608 loss: 0.7608 2022/08/05 18:24:10 - mmengine - INFO - Epoch(train) [248][280/1879] lr: 1.0000e-04 eta: 2:00:08 time: 0.4627 data_time: 0.0166 memory: 17087 grad_norm: 7.3382 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0117 loss: 1.0117 2022/08/05 18:24:19 - mmengine - INFO - Epoch(train) [248][300/1879] lr: 1.0000e-04 eta: 1:59:59 time: 0.4318 data_time: 0.0134 memory: 17087 grad_norm: 7.4223 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8222 loss: 0.8222 2022/08/05 18:24:28 - mmengine - INFO - Epoch(train) [248][320/1879] lr: 1.0000e-04 eta: 1:59:51 time: 0.4687 data_time: 0.0203 memory: 17087 grad_norm: 7.2575 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8202 loss: 0.8202 2022/08/05 18:24:37 - mmengine - INFO - Epoch(train) [248][340/1879] lr: 1.0000e-04 eta: 1:59:42 time: 0.4282 data_time: 0.0136 memory: 17087 grad_norm: 7.2994 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7842 loss: 0.7842 2022/08/05 18:24:46 - mmengine - INFO - Epoch(train) [248][360/1879] lr: 1.0000e-04 eta: 1:59:33 time: 0.4421 data_time: 0.0231 memory: 17087 grad_norm: 7.3160 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9319 loss: 0.9319 2022/08/05 18:24:54 - mmengine - INFO - Epoch(train) [248][380/1879] lr: 1.0000e-04 eta: 1:59:25 time: 0.4302 data_time: 0.0134 memory: 17087 grad_norm: 7.2168 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8434 loss: 0.8434 2022/08/05 18:25:03 - mmengine - INFO - Epoch(train) [248][400/1879] lr: 1.0000e-04 eta: 1:59:16 time: 0.4317 data_time: 0.0162 memory: 17087 grad_norm: 6.9284 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7255 loss: 0.7255 2022/08/05 18:25:12 - mmengine - INFO - Epoch(train) [248][420/1879] lr: 1.0000e-04 eta: 1:59:07 time: 0.4340 data_time: 0.0143 memory: 17087 grad_norm: 7.6065 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 1.0458 loss: 1.0458 2022/08/05 18:25:20 - mmengine - INFO - Epoch(train) [248][440/1879] lr: 1.0000e-04 eta: 1:58:59 time: 0.4319 data_time: 0.0166 memory: 17087 grad_norm: 7.1653 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8910 loss: 0.8910 2022/08/05 18:25:30 - mmengine - INFO - Epoch(train) [248][460/1879] lr: 1.0000e-04 eta: 1:58:50 time: 0.4688 data_time: 0.0168 memory: 17087 grad_norm: 7.2230 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7023 loss: 0.7023 2022/08/05 18:25:38 - mmengine - INFO - Epoch(train) [248][480/1879] lr: 1.0000e-04 eta: 1:58:41 time: 0.4334 data_time: 0.0180 memory: 17087 grad_norm: 7.4790 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8801 loss: 0.8801 2022/08/05 18:25:48 - mmengine - INFO - Epoch(train) [248][500/1879] lr: 1.0000e-04 eta: 1:58:33 time: 0.4704 data_time: 0.0159 memory: 17087 grad_norm: 7.0342 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6421 loss: 0.6421 2022/08/05 18:25:57 - mmengine - INFO - Epoch(train) [248][520/1879] lr: 1.0000e-04 eta: 1:58:24 time: 0.4349 data_time: 0.0175 memory: 17087 grad_norm: 7.0954 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8325 loss: 0.8325 2022/08/05 18:26:05 - mmengine - INFO - Epoch(train) [248][540/1879] lr: 1.0000e-04 eta: 1:58:15 time: 0.4348 data_time: 0.0169 memory: 17087 grad_norm: 7.3121 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9164 loss: 0.9164 2022/08/05 18:26:14 - mmengine - INFO - Epoch(train) [248][560/1879] lr: 1.0000e-04 eta: 1:58:07 time: 0.4327 data_time: 0.0173 memory: 17087 grad_norm: 7.0909 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7976 loss: 0.7976 2022/08/05 18:26:23 - mmengine - INFO - Epoch(train) [248][580/1879] lr: 1.0000e-04 eta: 1:57:58 time: 0.4307 data_time: 0.0151 memory: 17087 grad_norm: 7.2253 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8135 loss: 0.8135 2022/08/05 18:26:31 - mmengine - INFO - Epoch(train) [248][600/1879] lr: 1.0000e-04 eta: 1:57:49 time: 0.4370 data_time: 0.0160 memory: 17087 grad_norm: 7.2195 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9186 loss: 0.9186 2022/08/05 18:26:40 - mmengine - INFO - Epoch(train) [248][620/1879] lr: 1.0000e-04 eta: 1:57:41 time: 0.4313 data_time: 0.0185 memory: 17087 grad_norm: 7.2201 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6043 loss: 0.6043 2022/08/05 18:26:49 - mmengine - INFO - Epoch(train) [248][640/1879] lr: 1.0000e-04 eta: 1:57:32 time: 0.4488 data_time: 0.0183 memory: 17087 grad_norm: 6.8987 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6499 loss: 0.6499 2022/08/05 18:26:58 - mmengine - INFO - Epoch(train) [248][660/1879] lr: 1.0000e-04 eta: 1:57:23 time: 0.4296 data_time: 0.0141 memory: 17087 grad_norm: 7.1419 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8930 loss: 0.8930 2022/08/05 18:27:07 - mmengine - INFO - Epoch(train) [248][680/1879] lr: 1.0000e-04 eta: 1:57:15 time: 0.4515 data_time: 0.0177 memory: 17087 grad_norm: 7.4371 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0072 loss: 1.0072 2022/08/05 18:27:15 - mmengine - INFO - Epoch(train) [248][700/1879] lr: 1.0000e-04 eta: 1:57:06 time: 0.4311 data_time: 0.0161 memory: 17087 grad_norm: 7.5178 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8712 loss: 0.8712 2022/08/05 18:27:24 - mmengine - INFO - Epoch(train) [248][720/1879] lr: 1.0000e-04 eta: 1:56:57 time: 0.4336 data_time: 0.0165 memory: 17087 grad_norm: 7.3626 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7798 loss: 0.7798 2022/08/05 18:27:33 - mmengine - INFO - Epoch(train) [248][740/1879] lr: 1.0000e-04 eta: 1:56:49 time: 0.4354 data_time: 0.0134 memory: 17087 grad_norm: 7.0756 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7121 loss: 0.7121 2022/08/05 18:27:41 - mmengine - INFO - Epoch(train) [248][760/1879] lr: 1.0000e-04 eta: 1:56:40 time: 0.4312 data_time: 0.0166 memory: 17087 grad_norm: 7.1015 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8466 loss: 0.8466 2022/08/05 18:27:51 - mmengine - INFO - Epoch(train) [248][780/1879] lr: 1.0000e-04 eta: 1:56:31 time: 0.4708 data_time: 0.0158 memory: 17087 grad_norm: 7.1800 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6411 loss: 0.6411 2022/08/05 18:28:00 - mmengine - INFO - Epoch(train) [248][800/1879] lr: 1.0000e-04 eta: 1:56:23 time: 0.4329 data_time: 0.0185 memory: 17087 grad_norm: 6.9900 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8570 loss: 0.8570 2022/08/05 18:28:08 - mmengine - INFO - Epoch(train) [248][820/1879] lr: 1.0000e-04 eta: 1:56:14 time: 0.4328 data_time: 0.0166 memory: 17087 grad_norm: 7.3907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8239 loss: 0.8239 2022/08/05 18:28:17 - mmengine - INFO - Epoch(train) [248][840/1879] lr: 1.0000e-04 eta: 1:56:05 time: 0.4626 data_time: 0.0174 memory: 17087 grad_norm: 6.9201 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9062 loss: 0.9062 2022/08/05 18:28:26 - mmengine - INFO - Epoch(train) [248][860/1879] lr: 1.0000e-04 eta: 1:55:57 time: 0.4325 data_time: 0.0159 memory: 17087 grad_norm: 7.1239 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7445 loss: 0.7445 2022/08/05 18:28:36 - mmengine - INFO - Epoch(train) [248][880/1879] lr: 1.0000e-04 eta: 1:55:48 time: 0.4685 data_time: 0.0221 memory: 17087 grad_norm: 7.2631 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7848 loss: 0.7848 2022/08/05 18:28:39 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 18:28:44 - mmengine - INFO - Epoch(train) [248][900/1879] lr: 1.0000e-04 eta: 1:55:39 time: 0.4307 data_time: 0.0140 memory: 17087 grad_norm: 7.2515 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7482 loss: 0.7482 2022/08/05 18:28:53 - mmengine - INFO - Epoch(train) [248][920/1879] lr: 1.0000e-04 eta: 1:55:31 time: 0.4371 data_time: 0.0210 memory: 17087 grad_norm: 7.3130 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7630 loss: 0.7630 2022/08/05 18:29:02 - mmengine - INFO - Epoch(train) [248][940/1879] lr: 1.0000e-04 eta: 1:55:22 time: 0.4630 data_time: 0.0193 memory: 17087 grad_norm: 7.1445 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7675 loss: 0.7675 2022/08/05 18:29:11 - mmengine - INFO - Epoch(train) [248][960/1879] lr: 1.0000e-04 eta: 1:55:13 time: 0.4328 data_time: 0.0179 memory: 17087 grad_norm: 7.1650 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8824 loss: 0.8824 2022/08/05 18:29:20 - mmengine - INFO - Epoch(train) [248][980/1879] lr: 1.0000e-04 eta: 1:55:05 time: 0.4549 data_time: 0.0210 memory: 17087 grad_norm: 6.9582 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7054 loss: 0.7054 2022/08/05 18:29:29 - mmengine - INFO - Epoch(train) [248][1000/1879] lr: 1.0000e-04 eta: 1:54:56 time: 0.4341 data_time: 0.0174 memory: 17087 grad_norm: 7.3524 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9659 loss: 0.9659 2022/08/05 18:29:38 - mmengine - INFO - Epoch(train) [248][1020/1879] lr: 1.0000e-04 eta: 1:54:47 time: 0.4698 data_time: 0.0170 memory: 17087 grad_norm: 7.5792 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8673 loss: 0.8673 2022/08/05 18:29:47 - mmengine - INFO - Epoch(train) [248][1040/1879] lr: 1.0000e-04 eta: 1:54:39 time: 0.4370 data_time: 0.0223 memory: 17087 grad_norm: 7.2736 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9042 loss: 0.9042 2022/08/05 18:29:56 - mmengine - INFO - Epoch(train) [248][1060/1879] lr: 1.0000e-04 eta: 1:54:30 time: 0.4445 data_time: 0.0168 memory: 17087 grad_norm: 7.1120 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9028 loss: 0.9028 2022/08/05 18:30:05 - mmengine - INFO - Epoch(train) [248][1080/1879] lr: 1.0000e-04 eta: 1:54:21 time: 0.4321 data_time: 0.0167 memory: 17087 grad_norm: 7.4654 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8460 loss: 0.8460 2022/08/05 18:30:13 - mmengine - INFO - Epoch(train) [248][1100/1879] lr: 1.0000e-04 eta: 1:54:13 time: 0.4339 data_time: 0.0184 memory: 17087 grad_norm: 7.2330 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8392 loss: 0.8392 2022/08/05 18:30:24 - mmengine - INFO - Epoch(train) [248][1120/1879] lr: 1.0000e-04 eta: 1:54:04 time: 0.5455 data_time: 0.0959 memory: 17087 grad_norm: 7.0478 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7316 loss: 0.7316 2022/08/05 18:30:33 - mmengine - INFO - Epoch(train) [248][1140/1879] lr: 1.0000e-04 eta: 1:53:55 time: 0.4329 data_time: 0.0174 memory: 17087 grad_norm: 7.2731 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6620 loss: 0.6620 2022/08/05 18:30:42 - mmengine - INFO - Epoch(train) [248][1160/1879] lr: 1.0000e-04 eta: 1:53:47 time: 0.4796 data_time: 0.0220 memory: 17087 grad_norm: 6.8258 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7624 loss: 0.7624 2022/08/05 18:30:51 - mmengine - INFO - Epoch(train) [248][1180/1879] lr: 1.0000e-04 eta: 1:53:38 time: 0.4321 data_time: 0.0162 memory: 17087 grad_norm: 6.9979 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7825 loss: 0.7825 2022/08/05 18:31:01 - mmengine - INFO - Epoch(train) [248][1200/1879] lr: 1.0000e-04 eta: 1:53:29 time: 0.4720 data_time: 0.0235 memory: 17087 grad_norm: 7.1637 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8497 loss: 0.8497 2022/08/05 18:31:09 - mmengine - INFO - Epoch(train) [248][1220/1879] lr: 1.0000e-04 eta: 1:53:21 time: 0.4384 data_time: 0.0167 memory: 17087 grad_norm: 7.2126 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8049 loss: 0.8049 2022/08/05 18:31:18 - mmengine - INFO - Epoch(train) [248][1240/1879] lr: 1.0000e-04 eta: 1:53:12 time: 0.4552 data_time: 0.0160 memory: 17087 grad_norm: 7.1523 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7466 loss: 0.7466 2022/08/05 18:31:27 - mmengine - INFO - Epoch(train) [248][1260/1879] lr: 1.0000e-04 eta: 1:53:03 time: 0.4327 data_time: 0.0155 memory: 17087 grad_norm: 7.2598 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7715 loss: 0.7715 2022/08/05 18:31:36 - mmengine - INFO - Epoch(train) [248][1280/1879] lr: 1.0000e-04 eta: 1:52:55 time: 0.4613 data_time: 0.0166 memory: 17087 grad_norm: 7.1624 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9629 loss: 0.9629 2022/08/05 18:31:45 - mmengine - INFO - Epoch(train) [248][1300/1879] lr: 1.0000e-04 eta: 1:52:46 time: 0.4327 data_time: 0.0167 memory: 17087 grad_norm: 7.1499 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8911 loss: 0.8911 2022/08/05 18:31:54 - mmengine - INFO - Epoch(train) [248][1320/1879] lr: 1.0000e-04 eta: 1:52:37 time: 0.4345 data_time: 0.0197 memory: 17087 grad_norm: 7.3167 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8679 loss: 0.8679 2022/08/05 18:32:03 - mmengine - INFO - Epoch(train) [248][1340/1879] lr: 1.0000e-04 eta: 1:52:29 time: 0.4391 data_time: 0.0172 memory: 17087 grad_norm: 7.2523 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8158 loss: 0.8158 2022/08/05 18:32:11 - mmengine - INFO - Epoch(train) [248][1360/1879] lr: 1.0000e-04 eta: 1:52:20 time: 0.4363 data_time: 0.0169 memory: 17087 grad_norm: 7.2265 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8610 loss: 0.8610 2022/08/05 18:32:21 - mmengine - INFO - Epoch(train) [248][1380/1879] lr: 1.0000e-04 eta: 1:52:11 time: 0.4592 data_time: 0.0184 memory: 17087 grad_norm: 7.3022 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9526 loss: 0.9526 2022/08/05 18:32:29 - mmengine - INFO - Epoch(train) [248][1400/1879] lr: 1.0000e-04 eta: 1:52:03 time: 0.4310 data_time: 0.0152 memory: 17087 grad_norm: 7.3357 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9225 loss: 0.9225 2022/08/05 18:32:39 - mmengine - INFO - Epoch(train) [248][1420/1879] lr: 1.0000e-04 eta: 1:51:54 time: 0.4694 data_time: 0.0189 memory: 17087 grad_norm: 7.3781 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 1.1010 loss: 1.1010 2022/08/05 18:32:47 - mmengine - INFO - Epoch(train) [248][1440/1879] lr: 1.0000e-04 eta: 1:51:45 time: 0.4307 data_time: 0.0151 memory: 17087 grad_norm: 7.1411 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6778 loss: 0.6778 2022/08/05 18:32:57 - mmengine - INFO - Epoch(train) [248][1460/1879] lr: 1.0000e-04 eta: 1:51:37 time: 0.4712 data_time: 0.0228 memory: 17087 grad_norm: 7.2930 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8481 loss: 0.8481 2022/08/05 18:33:05 - mmengine - INFO - Epoch(train) [248][1480/1879] lr: 1.0000e-04 eta: 1:51:28 time: 0.4307 data_time: 0.0150 memory: 17087 grad_norm: 7.3837 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9685 loss: 0.9685 2022/08/05 18:33:14 - mmengine - INFO - Epoch(train) [248][1500/1879] lr: 1.0000e-04 eta: 1:51:20 time: 0.4346 data_time: 0.0198 memory: 17087 grad_norm: 6.9593 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6636 loss: 0.6636 2022/08/05 18:33:23 - mmengine - INFO - Epoch(train) [248][1520/1879] lr: 1.0000e-04 eta: 1:51:11 time: 0.4597 data_time: 0.0158 memory: 17087 grad_norm: 7.1412 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7264 loss: 0.7264 2022/08/05 18:33:32 - mmengine - INFO - Epoch(train) [248][1540/1879] lr: 1.0000e-04 eta: 1:51:02 time: 0.4331 data_time: 0.0163 memory: 17087 grad_norm: 7.2388 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7957 loss: 0.7957 2022/08/05 18:33:41 - mmengine - INFO - Epoch(train) [248][1560/1879] lr: 1.0000e-04 eta: 1:50:54 time: 0.4427 data_time: 0.0211 memory: 17087 grad_norm: 7.4649 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8315 loss: 0.8315 2022/08/05 18:33:50 - mmengine - INFO - Epoch(train) [248][1580/1879] lr: 1.0000e-04 eta: 1:50:45 time: 0.4305 data_time: 0.0161 memory: 17087 grad_norm: 7.4890 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9240 loss: 0.9240 2022/08/05 18:33:59 - mmengine - INFO - Epoch(train) [248][1600/1879] lr: 1.0000e-04 eta: 1:50:36 time: 0.4509 data_time: 0.0163 memory: 17087 grad_norm: 7.1469 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8204 loss: 0.8204 2022/08/05 18:34:07 - mmengine - INFO - Epoch(train) [248][1620/1879] lr: 1.0000e-04 eta: 1:50:28 time: 0.4326 data_time: 0.0168 memory: 17087 grad_norm: 7.3710 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7967 loss: 0.7967 2022/08/05 18:34:17 - mmengine - INFO - Epoch(train) [248][1640/1879] lr: 1.0000e-04 eta: 1:50:19 time: 0.4742 data_time: 0.0214 memory: 17087 grad_norm: 7.1838 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8799 loss: 0.8799 2022/08/05 18:34:25 - mmengine - INFO - Epoch(train) [248][1660/1879] lr: 1.0000e-04 eta: 1:50:10 time: 0.4317 data_time: 0.0163 memory: 17087 grad_norm: 7.5621 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7056 loss: 0.7056 2022/08/05 18:34:34 - mmengine - INFO - Epoch(train) [248][1680/1879] lr: 1.0000e-04 eta: 1:50:02 time: 0.4358 data_time: 0.0199 memory: 17087 grad_norm: 7.3535 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8319 loss: 0.8319 2022/08/05 18:34:44 - mmengine - INFO - Epoch(train) [248][1700/1879] lr: 1.0000e-04 eta: 1:49:53 time: 0.4758 data_time: 0.0186 memory: 17087 grad_norm: 7.1048 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7088 loss: 0.7088 2022/08/05 18:34:52 - mmengine - INFO - Epoch(train) [248][1720/1879] lr: 1.0000e-04 eta: 1:49:44 time: 0.4316 data_time: 0.0151 memory: 17087 grad_norm: 7.2691 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7551 loss: 0.7551 2022/08/05 18:35:01 - mmengine - INFO - Epoch(train) [248][1740/1879] lr: 1.0000e-04 eta: 1:49:36 time: 0.4388 data_time: 0.0185 memory: 17087 grad_norm: 7.2127 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8159 loss: 0.8159 2022/08/05 18:35:10 - mmengine - INFO - Epoch(train) [248][1760/1879] lr: 1.0000e-04 eta: 1:49:27 time: 0.4349 data_time: 0.0155 memory: 17087 grad_norm: 7.1174 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7235 loss: 0.7235 2022/08/05 18:35:18 - mmengine - INFO - Epoch(train) [248][1780/1879] lr: 1.0000e-04 eta: 1:49:18 time: 0.4321 data_time: 0.0166 memory: 17087 grad_norm: 7.1782 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6023 loss: 0.6023 2022/08/05 18:35:28 - mmengine - INFO - Epoch(train) [248][1800/1879] lr: 1.0000e-04 eta: 1:49:10 time: 0.4529 data_time: 0.0168 memory: 17087 grad_norm: 7.2752 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7007 loss: 0.7007 2022/08/05 18:35:36 - mmengine - INFO - Epoch(train) [248][1820/1879] lr: 1.0000e-04 eta: 1:49:01 time: 0.4381 data_time: 0.0171 memory: 17087 grad_norm: 7.0429 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7649 loss: 0.7649 2022/08/05 18:35:45 - mmengine - INFO - Epoch(train) [248][1840/1879] lr: 1.0000e-04 eta: 1:48:52 time: 0.4529 data_time: 0.0137 memory: 17087 grad_norm: 7.0967 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6985 loss: 0.6985 2022/08/05 18:35:54 - mmengine - INFO - Epoch(train) [248][1860/1879] lr: 1.0000e-04 eta: 1:48:44 time: 0.4342 data_time: 0.0177 memory: 17087 grad_norm: 7.4072 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7445 loss: 0.7445 2022/08/05 18:36:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 18:36:02 - mmengine - INFO - Epoch(train) [248][1879/1879] lr: 1.0000e-04 eta: 1:48:44 time: 0.4140 data_time: 0.0124 memory: 17087 grad_norm: 7.6383 top1_acc: 0.8571 top5_acc: 0.8571 loss_cls: 0.8375 loss: 0.8375 2022/08/05 18:36:02 - mmengine - INFO - Saving checkpoint at 248 epochs 2022/08/05 18:36:11 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 18:36:17 - mmengine - INFO - Epoch(train) [249][20/1879] lr: 1.0000e-04 eta: 1:48:26 time: 0.5130 data_time: 0.0944 memory: 17087 grad_norm: 7.3341 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9692 loss: 0.9692 2022/08/05 18:36:25 - mmengine - INFO - Epoch(train) [249][40/1879] lr: 1.0000e-04 eta: 1:48:18 time: 0.4446 data_time: 0.0208 memory: 17087 grad_norm: 7.0897 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7359 loss: 0.7359 2022/08/05 18:36:34 - mmengine - INFO - Epoch(train) [249][60/1879] lr: 1.0000e-04 eta: 1:48:09 time: 0.4292 data_time: 0.0146 memory: 17087 grad_norm: 7.2889 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9016 loss: 0.9016 2022/08/05 18:36:43 - mmengine - INFO - Epoch(train) [249][80/1879] lr: 1.0000e-04 eta: 1:48:00 time: 0.4433 data_time: 0.0194 memory: 17087 grad_norm: 7.3335 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8380 loss: 0.8380 2022/08/05 18:36:52 - mmengine - INFO - Epoch(train) [249][100/1879] lr: 1.0000e-04 eta: 1:47:52 time: 0.4323 data_time: 0.0152 memory: 17087 grad_norm: 7.4944 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8059 loss: 0.8059 2022/08/05 18:37:01 - mmengine - INFO - Epoch(train) [249][120/1879] lr: 1.0000e-04 eta: 1:47:43 time: 0.4729 data_time: 0.0201 memory: 17087 grad_norm: 7.0408 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7327 loss: 0.7327 2022/08/05 18:37:10 - mmengine - INFO - Epoch(train) [249][140/1879] lr: 1.0000e-04 eta: 1:47:34 time: 0.4329 data_time: 0.0156 memory: 17087 grad_norm: 7.1049 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6852 loss: 0.6852 2022/08/05 18:37:19 - mmengine - INFO - Epoch(train) [249][160/1879] lr: 1.0000e-04 eta: 1:47:26 time: 0.4410 data_time: 0.0186 memory: 17087 grad_norm: 7.1808 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9019 loss: 0.9019 2022/08/05 18:37:27 - mmengine - INFO - Epoch(train) [249][180/1879] lr: 1.0000e-04 eta: 1:47:17 time: 0.4297 data_time: 0.0158 memory: 17087 grad_norm: 7.3867 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8735 loss: 0.8735 2022/08/05 18:37:36 - mmengine - INFO - Epoch(train) [249][200/1879] lr: 1.0000e-04 eta: 1:47:08 time: 0.4456 data_time: 0.0178 memory: 17087 grad_norm: 7.4574 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9318 loss: 0.9318 2022/08/05 18:37:45 - mmengine - INFO - Epoch(train) [249][220/1879] lr: 1.0000e-04 eta: 1:47:00 time: 0.4295 data_time: 0.0147 memory: 17087 grad_norm: 7.2166 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7113 loss: 0.7113 2022/08/05 18:37:53 - mmengine - INFO - Epoch(train) [249][240/1879] lr: 1.0000e-04 eta: 1:46:51 time: 0.4309 data_time: 0.0152 memory: 17087 grad_norm: 7.2049 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7742 loss: 0.7742 2022/08/05 18:38:03 - mmengine - INFO - Epoch(train) [249][260/1879] lr: 1.0000e-04 eta: 1:46:43 time: 0.4694 data_time: 0.0146 memory: 17087 grad_norm: 7.2085 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7310 loss: 0.7310 2022/08/05 18:38:12 - mmengine - INFO - Epoch(train) [249][280/1879] lr: 1.0000e-04 eta: 1:46:34 time: 0.4325 data_time: 0.0169 memory: 17087 grad_norm: 7.3890 top1_acc: 0.5000 top5_acc: 0.9375 loss_cls: 0.7767 loss: 0.7767 2022/08/05 18:38:21 - mmengine - INFO - Epoch(train) [249][300/1879] lr: 1.0000e-04 eta: 1:46:25 time: 0.4534 data_time: 0.0172 memory: 17087 grad_norm: 7.2572 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7976 loss: 0.7976 2022/08/05 18:38:29 - mmengine - INFO - Epoch(train) [249][320/1879] lr: 1.0000e-04 eta: 1:46:17 time: 0.4323 data_time: 0.0178 memory: 17087 grad_norm: 6.9545 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6628 loss: 0.6628 2022/08/05 18:38:38 - mmengine - INFO - Epoch(train) [249][340/1879] lr: 1.0000e-04 eta: 1:46:08 time: 0.4423 data_time: 0.0165 memory: 17087 grad_norm: 6.9910 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7835 loss: 0.7835 2022/08/05 18:38:47 - mmengine - INFO - Epoch(train) [249][360/1879] lr: 1.0000e-04 eta: 1:45:59 time: 0.4320 data_time: 0.0168 memory: 17087 grad_norm: 6.9416 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8675 loss: 0.8675 2022/08/05 18:38:56 - mmengine - INFO - Epoch(train) [249][380/1879] lr: 1.0000e-04 eta: 1:45:51 time: 0.4532 data_time: 0.0152 memory: 17087 grad_norm: 7.2051 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8230 loss: 0.8230 2022/08/05 18:39:05 - mmengine - INFO - Epoch(train) [249][400/1879] lr: 1.0000e-04 eta: 1:45:42 time: 0.4317 data_time: 0.0169 memory: 17087 grad_norm: 7.1583 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7841 loss: 0.7841 2022/08/05 18:39:13 - mmengine - INFO - Epoch(train) [249][420/1879] lr: 1.0000e-04 eta: 1:45:33 time: 0.4327 data_time: 0.0150 memory: 17087 grad_norm: 7.2267 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8766 loss: 0.8766 2022/08/05 18:39:22 - mmengine - INFO - Epoch(train) [249][440/1879] lr: 1.0000e-04 eta: 1:45:25 time: 0.4362 data_time: 0.0176 memory: 17087 grad_norm: 7.0762 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8158 loss: 0.8158 2022/08/05 18:39:31 - mmengine - INFO - Epoch(train) [249][460/1879] lr: 1.0000e-04 eta: 1:45:16 time: 0.4331 data_time: 0.0172 memory: 17087 grad_norm: 7.2253 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9032 loss: 0.9032 2022/08/05 18:39:39 - mmengine - INFO - Epoch(train) [249][480/1879] lr: 1.0000e-04 eta: 1:45:07 time: 0.4329 data_time: 0.0161 memory: 17087 grad_norm: 7.1013 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9365 loss: 0.9365 2022/08/05 18:39:48 - mmengine - INFO - Epoch(train) [249][500/1879] lr: 1.0000e-04 eta: 1:44:59 time: 0.4394 data_time: 0.0187 memory: 17087 grad_norm: 7.3897 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7287 loss: 0.7287 2022/08/05 18:39:57 - mmengine - INFO - Epoch(train) [249][520/1879] lr: 1.0000e-04 eta: 1:44:50 time: 0.4344 data_time: 0.0168 memory: 17087 grad_norm: 6.9564 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.9585 loss: 0.9585 2022/08/05 18:40:06 - mmengine - INFO - Epoch(train) [249][540/1879] lr: 1.0000e-04 eta: 1:44:41 time: 0.4588 data_time: 0.0183 memory: 17087 grad_norm: 7.2262 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8752 loss: 0.8752 2022/08/05 18:40:15 - mmengine - INFO - Epoch(train) [249][560/1879] lr: 1.0000e-04 eta: 1:44:33 time: 0.4298 data_time: 0.0149 memory: 17087 grad_norm: 7.0151 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8165 loss: 0.8165 2022/08/05 18:40:23 - mmengine - INFO - Epoch(train) [249][580/1879] lr: 1.0000e-04 eta: 1:44:24 time: 0.4350 data_time: 0.0155 memory: 17087 grad_norm: 6.9780 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8655 loss: 0.8655 2022/08/05 18:40:33 - mmengine - INFO - Epoch(train) [249][600/1879] lr: 1.0000e-04 eta: 1:44:15 time: 0.4584 data_time: 0.0170 memory: 17087 grad_norm: 6.9962 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7247 loss: 0.7247 2022/08/05 18:40:42 - mmengine - INFO - Epoch(train) [249][620/1879] lr: 1.0000e-04 eta: 1:44:07 time: 0.4446 data_time: 0.0176 memory: 17087 grad_norm: 7.1160 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9424 loss: 0.9424 2022/08/05 18:40:50 - mmengine - INFO - Epoch(train) [249][640/1879] lr: 1.0000e-04 eta: 1:43:58 time: 0.4352 data_time: 0.0184 memory: 17087 grad_norm: 7.1798 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8514 loss: 0.8514 2022/08/05 18:40:59 - mmengine - INFO - Epoch(train) [249][660/1879] lr: 1.0000e-04 eta: 1:43:49 time: 0.4382 data_time: 0.0135 memory: 17087 grad_norm: 7.3858 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8152 loss: 0.8152 2022/08/05 18:41:08 - mmengine - INFO - Epoch(train) [249][680/1879] lr: 1.0000e-04 eta: 1:43:41 time: 0.4352 data_time: 0.0188 memory: 17087 grad_norm: 7.0918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6127 loss: 0.6127 2022/08/05 18:41:17 - mmengine - INFO - Epoch(train) [249][700/1879] lr: 1.0000e-04 eta: 1:43:32 time: 0.4607 data_time: 0.0148 memory: 17087 grad_norm: 6.9351 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9002 loss: 0.9002 2022/08/05 18:41:26 - mmengine - INFO - Epoch(train) [249][720/1879] lr: 1.0000e-04 eta: 1:43:23 time: 0.4361 data_time: 0.0164 memory: 17087 grad_norm: 7.0383 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7318 loss: 0.7318 2022/08/05 18:41:34 - mmengine - INFO - Epoch(train) [249][740/1879] lr: 1.0000e-04 eta: 1:43:15 time: 0.4314 data_time: 0.0150 memory: 17087 grad_norm: 7.3070 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9340 loss: 0.9340 2022/08/05 18:41:44 - mmengine - INFO - Epoch(train) [249][760/1879] lr: 1.0000e-04 eta: 1:43:06 time: 0.4820 data_time: 0.0192 memory: 17087 grad_norm: 7.5294 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8632 loss: 0.8632 2022/08/05 18:41:53 - mmengine - INFO - Epoch(train) [249][780/1879] lr: 1.0000e-04 eta: 1:42:57 time: 0.4317 data_time: 0.0154 memory: 17087 grad_norm: 7.0612 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7883 loss: 0.7883 2022/08/05 18:42:02 - mmengine - INFO - Epoch(train) [249][800/1879] lr: 1.0000e-04 eta: 1:42:49 time: 0.4545 data_time: 0.0188 memory: 17087 grad_norm: 7.3077 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7705 loss: 0.7705 2022/08/05 18:42:10 - mmengine - INFO - Epoch(train) [249][820/1879] lr: 1.0000e-04 eta: 1:42:40 time: 0.4298 data_time: 0.0136 memory: 17087 grad_norm: 7.3216 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8411 loss: 0.8411 2022/08/05 18:42:20 - mmengine - INFO - Epoch(train) [249][840/1879] lr: 1.0000e-04 eta: 1:42:31 time: 0.4734 data_time: 0.0187 memory: 17087 grad_norm: 7.2291 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8647 loss: 0.8647 2022/08/05 18:42:29 - mmengine - INFO - Epoch(train) [249][860/1879] lr: 1.0000e-04 eta: 1:42:23 time: 0.4346 data_time: 0.0159 memory: 17087 grad_norm: 7.1573 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8322 loss: 0.8322 2022/08/05 18:42:37 - mmengine - INFO - Epoch(train) [249][880/1879] lr: 1.0000e-04 eta: 1:42:14 time: 0.4337 data_time: 0.0160 memory: 17087 grad_norm: 7.2531 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9422 loss: 0.9422 2022/08/05 18:42:46 - mmengine - INFO - Epoch(train) [249][900/1879] lr: 1.0000e-04 eta: 1:42:05 time: 0.4397 data_time: 0.0192 memory: 17087 grad_norm: 6.9338 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8532 loss: 0.8532 2022/08/05 18:42:55 - mmengine - INFO - Epoch(train) [249][920/1879] lr: 1.0000e-04 eta: 1:41:57 time: 0.4315 data_time: 0.0163 memory: 17087 grad_norm: 7.4692 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6858 loss: 0.6858 2022/08/05 18:43:04 - mmengine - INFO - Epoch(train) [249][940/1879] lr: 1.0000e-04 eta: 1:41:48 time: 0.4598 data_time: 0.0152 memory: 17087 grad_norm: 7.0786 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8317 loss: 0.8317 2022/08/05 18:43:13 - mmengine - INFO - Epoch(train) [249][960/1879] lr: 1.0000e-04 eta: 1:41:39 time: 0.4400 data_time: 0.0215 memory: 17087 grad_norm: 7.2004 top1_acc: 0.4375 top5_acc: 0.8125 loss_cls: 0.9043 loss: 0.9043 2022/08/05 18:43:22 - mmengine - INFO - Epoch(train) [249][980/1879] lr: 1.0000e-04 eta: 1:41:31 time: 0.4389 data_time: 0.0147 memory: 17087 grad_norm: 7.0944 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8365 loss: 0.8365 2022/08/05 18:43:30 - mmengine - INFO - Epoch(train) [249][1000/1879] lr: 1.0000e-04 eta: 1:41:22 time: 0.4376 data_time: 0.0181 memory: 17087 grad_norm: 7.3849 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9151 loss: 0.9151 2022/08/05 18:43:34 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 18:43:39 - mmengine - INFO - Epoch(train) [249][1020/1879] lr: 1.0000e-04 eta: 1:41:13 time: 0.4373 data_time: 0.0165 memory: 17087 grad_norm: 7.3937 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7380 loss: 0.7380 2022/08/05 18:43:48 - mmengine - INFO - Epoch(train) [249][1040/1879] lr: 1.0000e-04 eta: 1:41:05 time: 0.4514 data_time: 0.0192 memory: 17087 grad_norm: 7.2756 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8506 loss: 0.8506 2022/08/05 18:43:57 - mmengine - INFO - Epoch(train) [249][1060/1879] lr: 1.0000e-04 eta: 1:40:56 time: 0.4433 data_time: 0.0173 memory: 17087 grad_norm: 7.4762 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8746 loss: 0.8746 2022/08/05 18:44:06 - mmengine - INFO - Epoch(train) [249][1080/1879] lr: 1.0000e-04 eta: 1:40:47 time: 0.4411 data_time: 0.0161 memory: 17087 grad_norm: 7.0435 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7495 loss: 0.7495 2022/08/05 18:44:15 - mmengine - INFO - Epoch(train) [249][1100/1879] lr: 1.0000e-04 eta: 1:40:39 time: 0.4336 data_time: 0.0149 memory: 17087 grad_norm: 7.0502 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7662 loss: 0.7662 2022/08/05 18:44:24 - mmengine - INFO - Epoch(train) [249][1120/1879] lr: 1.0000e-04 eta: 1:40:30 time: 0.4599 data_time: 0.0164 memory: 17087 grad_norm: 7.2876 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7626 loss: 0.7626 2022/08/05 18:44:33 - mmengine - INFO - Epoch(train) [249][1140/1879] lr: 1.0000e-04 eta: 1:40:21 time: 0.4373 data_time: 0.0200 memory: 17087 grad_norm: 7.0712 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7975 loss: 0.7975 2022/08/05 18:44:42 - mmengine - INFO - Epoch(train) [249][1160/1879] lr: 1.0000e-04 eta: 1:40:13 time: 0.4433 data_time: 0.0191 memory: 17087 grad_norm: 7.2391 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9284 loss: 0.9284 2022/08/05 18:44:50 - mmengine - INFO - Epoch(train) [249][1180/1879] lr: 1.0000e-04 eta: 1:40:04 time: 0.4318 data_time: 0.0168 memory: 17087 grad_norm: 7.0494 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8802 loss: 0.8802 2022/08/05 18:44:59 - mmengine - INFO - Epoch(train) [249][1200/1879] lr: 1.0000e-04 eta: 1:39:55 time: 0.4478 data_time: 0.0207 memory: 17087 grad_norm: 7.0922 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8786 loss: 0.8786 2022/08/05 18:45:08 - mmengine - INFO - Epoch(train) [249][1220/1879] lr: 1.0000e-04 eta: 1:39:47 time: 0.4322 data_time: 0.0188 memory: 17087 grad_norm: 7.2907 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8132 loss: 0.8132 2022/08/05 18:45:17 - mmengine - INFO - Epoch(train) [249][1240/1879] lr: 1.0000e-04 eta: 1:39:38 time: 0.4781 data_time: 0.0193 memory: 17087 grad_norm: 7.2569 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7985 loss: 0.7985 2022/08/05 18:45:26 - mmengine - INFO - Epoch(train) [249][1260/1879] lr: 1.0000e-04 eta: 1:39:29 time: 0.4339 data_time: 0.0166 memory: 17087 grad_norm: 7.5075 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.9382 loss: 0.9382 2022/08/05 18:45:35 - mmengine - INFO - Epoch(train) [249][1280/1879] lr: 1.0000e-04 eta: 1:39:21 time: 0.4350 data_time: 0.0205 memory: 17087 grad_norm: 7.1785 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8964 loss: 0.8964 2022/08/05 18:45:44 - mmengine - INFO - Epoch(train) [249][1300/1879] lr: 1.0000e-04 eta: 1:39:12 time: 0.4774 data_time: 0.0180 memory: 17087 grad_norm: 7.4915 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7254 loss: 0.7254 2022/08/05 18:45:53 - mmengine - INFO - Epoch(train) [249][1320/1879] lr: 1.0000e-04 eta: 1:39:03 time: 0.4319 data_time: 0.0161 memory: 17087 grad_norm: 7.1191 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7959 loss: 0.7959 2022/08/05 18:46:03 - mmengine - INFO - Epoch(train) [249][1340/1879] lr: 1.0000e-04 eta: 1:38:55 time: 0.4772 data_time: 0.0220 memory: 17087 grad_norm: 7.0308 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8095 loss: 0.8095 2022/08/05 18:46:12 - mmengine - INFO - Epoch(train) [249][1360/1879] lr: 1.0000e-04 eta: 1:38:46 time: 0.4334 data_time: 0.0164 memory: 17087 grad_norm: 7.1675 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7433 loss: 0.7433 2022/08/05 18:46:21 - mmengine - INFO - Epoch(train) [249][1380/1879] lr: 1.0000e-04 eta: 1:38:37 time: 0.4812 data_time: 0.0241 memory: 17087 grad_norm: 7.3823 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8674 loss: 0.8674 2022/08/05 18:46:30 - mmengine - INFO - Epoch(train) [249][1400/1879] lr: 1.0000e-04 eta: 1:38:29 time: 0.4305 data_time: 0.0159 memory: 17087 grad_norm: 7.2489 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8737 loss: 0.8737 2022/08/05 18:46:39 - mmengine - INFO - Epoch(train) [249][1420/1879] lr: 1.0000e-04 eta: 1:38:20 time: 0.4758 data_time: 0.0253 memory: 17087 grad_norm: 7.1169 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.8166 loss: 0.8166 2022/08/05 18:46:48 - mmengine - INFO - Epoch(train) [249][1440/1879] lr: 1.0000e-04 eta: 1:38:11 time: 0.4344 data_time: 0.0167 memory: 17087 grad_norm: 7.0461 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8216 loss: 0.8216 2022/08/05 18:46:57 - mmengine - INFO - Epoch(train) [249][1460/1879] lr: 1.0000e-04 eta: 1:38:03 time: 0.4687 data_time: 0.0225 memory: 17087 grad_norm: 7.4278 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7378 loss: 0.7378 2022/08/05 18:47:06 - mmengine - INFO - Epoch(train) [249][1480/1879] lr: 1.0000e-04 eta: 1:37:54 time: 0.4315 data_time: 0.0162 memory: 17087 grad_norm: 7.3846 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7319 loss: 0.7319 2022/08/05 18:47:15 - mmengine - INFO - Epoch(train) [249][1500/1879] lr: 1.0000e-04 eta: 1:37:45 time: 0.4379 data_time: 0.0214 memory: 17087 grad_norm: 7.2160 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9538 loss: 0.9538 2022/08/05 18:47:24 - mmengine - INFO - Epoch(train) [249][1520/1879] lr: 1.0000e-04 eta: 1:37:37 time: 0.4807 data_time: 0.0184 memory: 17087 grad_norm: 7.2662 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7875 loss: 0.7875 2022/08/05 18:47:33 - mmengine - INFO - Epoch(train) [249][1540/1879] lr: 1.0000e-04 eta: 1:37:28 time: 0.4318 data_time: 0.0163 memory: 17087 grad_norm: 7.0546 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7075 loss: 0.7075 2022/08/05 18:47:42 - mmengine - INFO - Epoch(train) [249][1560/1879] lr: 1.0000e-04 eta: 1:37:19 time: 0.4432 data_time: 0.0230 memory: 17087 grad_norm: 7.3191 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8471 loss: 0.8471 2022/08/05 18:47:51 - mmengine - INFO - Epoch(train) [249][1580/1879] lr: 1.0000e-04 eta: 1:37:11 time: 0.4313 data_time: 0.0163 memory: 17087 grad_norm: 7.2313 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8313 loss: 0.8313 2022/08/05 18:47:59 - mmengine - INFO - Epoch(train) [249][1600/1879] lr: 1.0000e-04 eta: 1:37:02 time: 0.4387 data_time: 0.0191 memory: 17087 grad_norm: 7.3479 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8016 loss: 0.8016 2022/08/05 18:48:08 - mmengine - INFO - Epoch(train) [249][1620/1879] lr: 1.0000e-04 eta: 1:36:53 time: 0.4320 data_time: 0.0160 memory: 17087 grad_norm: 7.2357 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7445 loss: 0.7445 2022/08/05 18:48:17 - mmengine - INFO - Epoch(train) [249][1640/1879] lr: 1.0000e-04 eta: 1:36:45 time: 0.4515 data_time: 0.0236 memory: 17087 grad_norm: 7.4327 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8067 loss: 0.8067 2022/08/05 18:48:26 - mmengine - INFO - Epoch(train) [249][1660/1879] lr: 1.0000e-04 eta: 1:36:36 time: 0.4295 data_time: 0.0142 memory: 17087 grad_norm: 7.1207 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9182 loss: 0.9182 2022/08/05 18:48:35 - mmengine - INFO - Epoch(train) [249][1680/1879] lr: 1.0000e-04 eta: 1:36:27 time: 0.4410 data_time: 0.0167 memory: 17087 grad_norm: 7.1681 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8720 loss: 0.8720 2022/08/05 18:48:43 - mmengine - INFO - Epoch(train) [249][1700/1879] lr: 1.0000e-04 eta: 1:36:19 time: 0.4318 data_time: 0.0155 memory: 17087 grad_norm: 7.0629 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7754 loss: 0.7754 2022/08/05 18:48:53 - mmengine - INFO - Epoch(train) [249][1720/1879] lr: 1.0000e-04 eta: 1:36:10 time: 0.4732 data_time: 0.0175 memory: 17087 grad_norm: 6.9954 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6434 loss: 0.6434 2022/08/05 18:49:01 - mmengine - INFO - Epoch(train) [249][1740/1879] lr: 1.0000e-04 eta: 1:36:01 time: 0.4320 data_time: 0.0147 memory: 17087 grad_norm: 7.2148 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8460 loss: 0.8460 2022/08/05 18:49:10 - mmengine - INFO - Epoch(train) [249][1760/1879] lr: 1.0000e-04 eta: 1:35:53 time: 0.4385 data_time: 0.0175 memory: 17087 grad_norm: 7.1381 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7892 loss: 0.7892 2022/08/05 18:49:19 - mmengine - INFO - Epoch(train) [249][1780/1879] lr: 1.0000e-04 eta: 1:35:44 time: 0.4319 data_time: 0.0153 memory: 17087 grad_norm: 7.4115 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8551 loss: 0.8551 2022/08/05 18:49:28 - mmengine - INFO - Epoch(train) [249][1800/1879] lr: 1.0000e-04 eta: 1:35:35 time: 0.4356 data_time: 0.0179 memory: 17087 grad_norm: 7.0367 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8358 loss: 0.8358 2022/08/05 18:49:36 - mmengine - INFO - Epoch(train) [249][1820/1879] lr: 1.0000e-04 eta: 1:35:27 time: 0.4306 data_time: 0.0151 memory: 17087 grad_norm: 7.5085 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8733 loss: 0.8733 2022/08/05 18:49:45 - mmengine - INFO - Epoch(train) [249][1840/1879] lr: 1.0000e-04 eta: 1:35:18 time: 0.4320 data_time: 0.0191 memory: 17087 grad_norm: 7.2858 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8542 loss: 0.8542 2022/08/05 18:49:54 - mmengine - INFO - Epoch(train) [249][1860/1879] lr: 1.0000e-04 eta: 1:35:09 time: 0.4392 data_time: 0.0168 memory: 17087 grad_norm: 7.3616 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9260 loss: 0.9260 2022/08/05 18:50:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 18:50:02 - mmengine - INFO - Epoch(train) [249][1879/1879] lr: 1.0000e-04 eta: 1:35:09 time: 0.4120 data_time: 0.0145 memory: 17087 grad_norm: 7.5745 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8802 loss: 0.8802 2022/08/05 18:50:13 - mmengine - INFO - Epoch(train) [250][20/1879] lr: 1.0000e-04 eta: 1:34:52 time: 0.5756 data_time: 0.1442 memory: 17087 grad_norm: 7.0794 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8093 loss: 0.8093 2022/08/05 18:50:22 - mmengine - INFO - Epoch(train) [250][40/1879] lr: 1.0000e-04 eta: 1:34:44 time: 0.4387 data_time: 0.0234 memory: 17087 grad_norm: 7.0035 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7433 loss: 0.7433 2022/08/05 18:50:31 - mmengine - INFO - Epoch(train) [250][60/1879] lr: 1.0000e-04 eta: 1:34:35 time: 0.4733 data_time: 0.0171 memory: 17087 grad_norm: 7.3025 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9052 loss: 0.9052 2022/08/05 18:50:40 - mmengine - INFO - Epoch(train) [250][80/1879] lr: 1.0000e-04 eta: 1:34:26 time: 0.4319 data_time: 0.0170 memory: 17087 grad_norm: 7.0542 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.8234 loss: 0.8234 2022/08/05 18:50:49 - mmengine - INFO - Epoch(train) [250][100/1879] lr: 1.0000e-04 eta: 1:34:18 time: 0.4377 data_time: 0.0160 memory: 17087 grad_norm: 7.1313 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7476 loss: 0.7476 2022/08/05 18:50:58 - mmengine - INFO - Epoch(train) [250][120/1879] lr: 1.0000e-04 eta: 1:34:09 time: 0.4328 data_time: 0.0168 memory: 17087 grad_norm: 6.9769 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6747 loss: 0.6747 2022/08/05 18:51:02 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 18:51:07 - mmengine - INFO - Epoch(train) [250][140/1879] lr: 1.0000e-04 eta: 1:34:00 time: 0.4564 data_time: 0.0169 memory: 17087 grad_norm: 7.0085 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9126 loss: 0.9126 2022/08/05 18:51:15 - mmengine - INFO - Epoch(train) [250][160/1879] lr: 1.0000e-04 eta: 1:33:52 time: 0.4282 data_time: 0.0146 memory: 17087 grad_norm: 7.1196 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6869 loss: 0.6869 2022/08/05 18:51:24 - mmengine - INFO - Epoch(train) [250][180/1879] lr: 1.0000e-04 eta: 1:33:43 time: 0.4337 data_time: 0.0143 memory: 17087 grad_norm: 6.8750 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7782 loss: 0.7782 2022/08/05 18:51:33 - mmengine - INFO - Epoch(train) [250][200/1879] lr: 1.0000e-04 eta: 1:33:34 time: 0.4322 data_time: 0.0162 memory: 17087 grad_norm: 7.3418 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9938 loss: 0.9938 2022/08/05 18:51:42 - mmengine - INFO - Epoch(train) [250][220/1879] lr: 1.0000e-04 eta: 1:33:26 time: 0.4592 data_time: 0.0157 memory: 17087 grad_norm: 7.1894 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8969 loss: 0.8969 2022/08/05 18:51:51 - mmengine - INFO - Epoch(train) [250][240/1879] lr: 1.0000e-04 eta: 1:33:17 time: 0.4298 data_time: 0.0160 memory: 17087 grad_norm: 7.2445 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8767 loss: 0.8767 2022/08/05 18:52:00 - mmengine - INFO - Epoch(train) [250][260/1879] lr: 1.0000e-04 eta: 1:33:08 time: 0.4606 data_time: 0.0186 memory: 17087 grad_norm: 7.1957 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7717 loss: 0.7717 2022/08/05 18:52:08 - mmengine - INFO - Epoch(train) [250][280/1879] lr: 1.0000e-04 eta: 1:33:00 time: 0.4337 data_time: 0.0181 memory: 17087 grad_norm: 7.0483 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8794 loss: 0.8794 2022/08/05 18:52:17 - mmengine - INFO - Epoch(train) [250][300/1879] lr: 1.0000e-04 eta: 1:32:51 time: 0.4391 data_time: 0.0194 memory: 17087 grad_norm: 7.3662 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8636 loss: 0.8636 2022/08/05 18:52:26 - mmengine - INFO - Epoch(train) [250][320/1879] lr: 1.0000e-04 eta: 1:32:42 time: 0.4316 data_time: 0.0185 memory: 17087 grad_norm: 7.2490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8017 loss: 0.8017 2022/08/05 18:52:34 - mmengine - INFO - Epoch(train) [250][340/1879] lr: 1.0000e-04 eta: 1:32:34 time: 0.4285 data_time: 0.0129 memory: 17087 grad_norm: 6.9894 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7734 loss: 0.7734 2022/08/05 18:52:44 - mmengine - INFO - Epoch(train) [250][360/1879] lr: 1.0000e-04 eta: 1:32:25 time: 0.4640 data_time: 0.0202 memory: 17087 grad_norm: 7.4717 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7065 loss: 0.7065 2022/08/05 18:52:52 - mmengine - INFO - Epoch(train) [250][380/1879] lr: 1.0000e-04 eta: 1:32:16 time: 0.4306 data_time: 0.0151 memory: 17087 grad_norm: 7.3409 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8031 loss: 0.8031 2022/08/05 18:53:02 - mmengine - INFO - Epoch(train) [250][400/1879] lr: 1.0000e-04 eta: 1:32:08 time: 0.4744 data_time: 0.0217 memory: 17087 grad_norm: 7.7250 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8913 loss: 0.8913 2022/08/05 18:53:11 - mmengine - INFO - Epoch(train) [250][420/1879] lr: 1.0000e-04 eta: 1:31:59 time: 0.4314 data_time: 0.0155 memory: 17087 grad_norm: 7.3818 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8192 loss: 0.8192 2022/08/05 18:53:20 - mmengine - INFO - Epoch(train) [250][440/1879] lr: 1.0000e-04 eta: 1:31:50 time: 0.4501 data_time: 0.0256 memory: 17087 grad_norm: 7.2916 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8921 loss: 0.8921 2022/08/05 18:53:28 - mmengine - INFO - Epoch(train) [250][460/1879] lr: 1.0000e-04 eta: 1:31:42 time: 0.4340 data_time: 0.0150 memory: 17087 grad_norm: 7.3324 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8874 loss: 0.8874 2022/08/05 18:53:37 - mmengine - INFO - Epoch(train) [250][480/1879] lr: 1.0000e-04 eta: 1:31:33 time: 0.4364 data_time: 0.0162 memory: 17087 grad_norm: 7.0541 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8455 loss: 0.8455 2022/08/05 18:53:46 - mmengine - INFO - Epoch(train) [250][500/1879] lr: 1.0000e-04 eta: 1:31:24 time: 0.4315 data_time: 0.0159 memory: 17087 grad_norm: 7.1601 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8627 loss: 0.8627 2022/08/05 18:53:55 - mmengine - INFO - Epoch(train) [250][520/1879] lr: 1.0000e-04 eta: 1:31:16 time: 0.4547 data_time: 0.0167 memory: 17087 grad_norm: 7.3275 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8414 loss: 0.8414 2022/08/05 18:54:04 - mmengine - INFO - Epoch(train) [250][540/1879] lr: 1.0000e-04 eta: 1:31:07 time: 0.4385 data_time: 0.0193 memory: 17087 grad_norm: 7.1821 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8768 loss: 0.8768 2022/08/05 18:54:13 - mmengine - INFO - Epoch(train) [250][560/1879] lr: 1.0000e-04 eta: 1:30:58 time: 0.4606 data_time: 0.0174 memory: 17087 grad_norm: 7.3448 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9523 loss: 0.9523 2022/08/05 18:54:21 - mmengine - INFO - Epoch(train) [250][580/1879] lr: 1.0000e-04 eta: 1:30:50 time: 0.4320 data_time: 0.0160 memory: 17087 grad_norm: 7.1512 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7673 loss: 0.7673 2022/08/05 18:54:30 - mmengine - INFO - Epoch(train) [250][600/1879] lr: 1.0000e-04 eta: 1:30:41 time: 0.4382 data_time: 0.0169 memory: 17087 grad_norm: 7.4961 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9497 loss: 0.9497 2022/08/05 18:54:39 - mmengine - INFO - Epoch(train) [250][620/1879] lr: 1.0000e-04 eta: 1:30:32 time: 0.4322 data_time: 0.0175 memory: 17087 grad_norm: 7.3991 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7268 loss: 0.7268 2022/08/05 18:54:48 - mmengine - INFO - Epoch(train) [250][640/1879] lr: 1.0000e-04 eta: 1:30:24 time: 0.4582 data_time: 0.0167 memory: 17087 grad_norm: 6.9845 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7884 loss: 0.7884 2022/08/05 18:54:57 - mmengine - INFO - Epoch(train) [250][660/1879] lr: 1.0000e-04 eta: 1:30:15 time: 0.4330 data_time: 0.0154 memory: 17087 grad_norm: 7.0631 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7633 loss: 0.7633 2022/08/05 18:55:05 - mmengine - INFO - Epoch(train) [250][680/1879] lr: 1.0000e-04 eta: 1:30:06 time: 0.4305 data_time: 0.0162 memory: 17087 grad_norm: 7.2137 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8126 loss: 0.8126 2022/08/05 18:55:14 - mmengine - INFO - Epoch(train) [250][700/1879] lr: 1.0000e-04 eta: 1:29:58 time: 0.4439 data_time: 0.0169 memory: 17087 grad_norm: 7.1256 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6884 loss: 0.6884 2022/08/05 18:55:23 - mmengine - INFO - Epoch(train) [250][720/1879] lr: 1.0000e-04 eta: 1:29:49 time: 0.4350 data_time: 0.0176 memory: 17087 grad_norm: 7.2435 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7534 loss: 0.7534 2022/08/05 18:55:32 - mmengine - INFO - Epoch(train) [250][740/1879] lr: 1.0000e-04 eta: 1:29:40 time: 0.4515 data_time: 0.0162 memory: 17087 grad_norm: 7.3855 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7989 loss: 0.7989 2022/08/05 18:55:41 - mmengine - INFO - Epoch(train) [250][760/1879] lr: 1.0000e-04 eta: 1:29:32 time: 0.4466 data_time: 0.0189 memory: 17087 grad_norm: 7.2740 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8505 loss: 0.8505 2022/08/05 18:55:50 - mmengine - INFO - Epoch(train) [250][780/1879] lr: 1.0000e-04 eta: 1:29:23 time: 0.4353 data_time: 0.0158 memory: 17087 grad_norm: 7.2374 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7518 loss: 0.7518 2022/08/05 18:55:59 - mmengine - INFO - Epoch(train) [250][800/1879] lr: 1.0000e-04 eta: 1:29:14 time: 0.4405 data_time: 0.0186 memory: 17087 grad_norm: 7.4746 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7949 loss: 0.7949 2022/08/05 18:56:07 - mmengine - INFO - Epoch(train) [250][820/1879] lr: 1.0000e-04 eta: 1:29:06 time: 0.4356 data_time: 0.0179 memory: 17087 grad_norm: 7.0708 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8392 loss: 0.8392 2022/08/05 18:56:16 - mmengine - INFO - Epoch(train) [250][840/1879] lr: 1.0000e-04 eta: 1:28:57 time: 0.4327 data_time: 0.0167 memory: 17087 grad_norm: 7.4047 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8345 loss: 0.8345 2022/08/05 18:56:25 - mmengine - INFO - Epoch(train) [250][860/1879] lr: 1.0000e-04 eta: 1:28:48 time: 0.4664 data_time: 0.0165 memory: 17087 grad_norm: 6.9751 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7990 loss: 0.7990 2022/08/05 18:56:34 - mmengine - INFO - Epoch(train) [250][880/1879] lr: 1.0000e-04 eta: 1:28:40 time: 0.4349 data_time: 0.0182 memory: 17087 grad_norm: 7.3802 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9751 loss: 0.9751 2022/08/05 18:56:43 - mmengine - INFO - Epoch(train) [250][900/1879] lr: 1.0000e-04 eta: 1:28:31 time: 0.4606 data_time: 0.0180 memory: 17087 grad_norm: 6.9794 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7228 loss: 0.7228 2022/08/05 18:56:52 - mmengine - INFO - Epoch(train) [250][920/1879] lr: 1.0000e-04 eta: 1:28:22 time: 0.4373 data_time: 0.0210 memory: 17087 grad_norm: 7.0261 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.9134 loss: 0.9134 2022/08/05 18:57:01 - mmengine - INFO - Epoch(train) [250][940/1879] lr: 1.0000e-04 eta: 1:28:14 time: 0.4367 data_time: 0.0188 memory: 17087 grad_norm: 6.9851 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7575 loss: 0.7575 2022/08/05 18:57:10 - mmengine - INFO - Epoch(train) [250][960/1879] lr: 1.0000e-04 eta: 1:28:05 time: 0.4330 data_time: 0.0160 memory: 17087 grad_norm: 7.3009 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8309 loss: 0.8309 2022/08/05 18:57:19 - mmengine - INFO - Epoch(train) [250][980/1879] lr: 1.0000e-04 eta: 1:27:56 time: 0.4587 data_time: 0.0160 memory: 17087 grad_norm: 7.2471 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8976 loss: 0.8976 2022/08/05 18:57:28 - mmengine - INFO - Epoch(train) [250][1000/1879] lr: 1.0000e-04 eta: 1:27:48 time: 0.4346 data_time: 0.0206 memory: 17087 grad_norm: 7.0603 top1_acc: 0.6250 top5_acc: 0.6875 loss_cls: 0.7476 loss: 0.7476 2022/08/05 18:57:36 - mmengine - INFO - Epoch(train) [250][1020/1879] lr: 1.0000e-04 eta: 1:27:39 time: 0.4322 data_time: 0.0153 memory: 17087 grad_norm: 7.1297 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7989 loss: 0.7989 2022/08/05 18:57:45 - mmengine - INFO - Epoch(train) [250][1040/1879] lr: 1.0000e-04 eta: 1:27:30 time: 0.4595 data_time: 0.0178 memory: 17087 grad_norm: 7.1409 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8002 loss: 0.8002 2022/08/05 18:57:54 - mmengine - INFO - Epoch(train) [250][1060/1879] lr: 1.0000e-04 eta: 1:27:22 time: 0.4374 data_time: 0.0223 memory: 17087 grad_norm: 7.3545 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6755 loss: 0.6755 2022/08/05 18:58:03 - mmengine - INFO - Epoch(train) [250][1080/1879] lr: 1.0000e-04 eta: 1:27:13 time: 0.4397 data_time: 0.0188 memory: 17087 grad_norm: 7.3141 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7774 loss: 0.7774 2022/08/05 18:58:12 - mmengine - INFO - Epoch(train) [250][1100/1879] lr: 1.0000e-04 eta: 1:27:04 time: 0.4301 data_time: 0.0160 memory: 17087 grad_norm: 7.4681 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8396 loss: 0.8396 2022/08/05 18:58:21 - mmengine - INFO - Epoch(train) [250][1120/1879] lr: 1.0000e-04 eta: 1:26:56 time: 0.4573 data_time: 0.0226 memory: 17087 grad_norm: 7.3711 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7196 loss: 0.7196 2022/08/05 18:58:25 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 18:58:30 - mmengine - INFO - Epoch(train) [250][1140/1879] lr: 1.0000e-04 eta: 1:26:47 time: 0.4460 data_time: 0.0160 memory: 17087 grad_norm: 7.0554 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6431 loss: 0.6431 2022/08/05 18:58:38 - mmengine - INFO - Epoch(train) [250][1160/1879] lr: 1.0000e-04 eta: 1:26:38 time: 0.4340 data_time: 0.0176 memory: 17087 grad_norm: 7.3815 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9411 loss: 0.9411 2022/08/05 18:58:47 - mmengine - INFO - Epoch(train) [250][1180/1879] lr: 1.0000e-04 eta: 1:26:30 time: 0.4317 data_time: 0.0136 memory: 17087 grad_norm: 6.9825 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7836 loss: 0.7836 2022/08/05 18:58:56 - mmengine - INFO - Epoch(train) [250][1200/1879] lr: 1.0000e-04 eta: 1:26:21 time: 0.4341 data_time: 0.0175 memory: 17087 grad_norm: 7.3176 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8365 loss: 0.8365 2022/08/05 18:59:04 - mmengine - INFO - Epoch(train) [250][1220/1879] lr: 1.0000e-04 eta: 1:26:12 time: 0.4306 data_time: 0.0138 memory: 17087 grad_norm: 7.3302 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9502 loss: 0.9502 2022/08/05 18:59:14 - mmengine - INFO - Epoch(train) [250][1240/1879] lr: 1.0000e-04 eta: 1:26:04 time: 0.4623 data_time: 0.0184 memory: 17087 grad_norm: 7.1282 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8553 loss: 0.8553 2022/08/05 18:59:22 - mmengine - INFO - Epoch(train) [250][1260/1879] lr: 1.0000e-04 eta: 1:25:55 time: 0.4297 data_time: 0.0144 memory: 17087 grad_norm: 7.2507 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8450 loss: 0.8450 2022/08/05 18:59:32 - mmengine - INFO - Epoch(train) [250][1280/1879] lr: 1.0000e-04 eta: 1:25:46 time: 0.4670 data_time: 0.0177 memory: 17087 grad_norm: 7.3582 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9638 loss: 0.9638 2022/08/05 18:59:40 - mmengine - INFO - Epoch(train) [250][1300/1879] lr: 1.0000e-04 eta: 1:25:38 time: 0.4323 data_time: 0.0158 memory: 17087 grad_norm: 7.2918 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7735 loss: 0.7735 2022/08/05 18:59:50 - mmengine - INFO - Epoch(train) [250][1320/1879] lr: 1.0000e-04 eta: 1:25:29 time: 0.4956 data_time: 0.0205 memory: 17087 grad_norm: 7.3325 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8537 loss: 0.8537 2022/08/05 18:59:59 - mmengine - INFO - Epoch(train) [250][1340/1879] lr: 1.0000e-04 eta: 1:25:20 time: 0.4320 data_time: 0.0162 memory: 17087 grad_norm: 7.2590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7400 loss: 0.7400 2022/08/05 19:00:08 - mmengine - INFO - Epoch(train) [250][1360/1879] lr: 1.0000e-04 eta: 1:25:12 time: 0.4759 data_time: 0.0188 memory: 17087 grad_norm: 6.9935 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6805 loss: 0.6805 2022/08/05 19:00:17 - mmengine - INFO - Epoch(train) [250][1380/1879] lr: 1.0000e-04 eta: 1:25:03 time: 0.4279 data_time: 0.0132 memory: 17087 grad_norm: 7.3616 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9103 loss: 0.9103 2022/08/05 19:00:26 - mmengine - INFO - Epoch(train) [250][1400/1879] lr: 1.0000e-04 eta: 1:24:54 time: 0.4327 data_time: 0.0171 memory: 17087 grad_norm: 7.5464 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9374 loss: 0.9374 2022/08/05 19:00:35 - mmengine - INFO - Epoch(train) [250][1420/1879] lr: 1.0000e-04 eta: 1:24:46 time: 0.4385 data_time: 0.0164 memory: 17087 grad_norm: 7.3095 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9180 loss: 0.9180 2022/08/05 19:00:43 - mmengine - INFO - Epoch(train) [250][1440/1879] lr: 1.0000e-04 eta: 1:24:37 time: 0.4306 data_time: 0.0172 memory: 17087 grad_norm: 7.1452 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7398 loss: 0.7398 2022/08/05 19:00:52 - mmengine - INFO - Epoch(train) [250][1460/1879] lr: 1.0000e-04 eta: 1:24:28 time: 0.4415 data_time: 0.0150 memory: 17087 grad_norm: 7.0591 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7172 loss: 0.7172 2022/08/05 19:01:01 - mmengine - INFO - Epoch(train) [250][1480/1879] lr: 1.0000e-04 eta: 1:24:20 time: 0.4318 data_time: 0.0181 memory: 17087 grad_norm: 7.1935 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9227 loss: 0.9227 2022/08/05 19:01:10 - mmengine - INFO - Epoch(train) [250][1500/1879] lr: 1.0000e-04 eta: 1:24:11 time: 0.4419 data_time: 0.0142 memory: 17087 grad_norm: 7.5357 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8643 loss: 0.8643 2022/08/05 19:01:18 - mmengine - INFO - Epoch(train) [250][1520/1879] lr: 1.0000e-04 eta: 1:24:02 time: 0.4313 data_time: 0.0170 memory: 17087 grad_norm: 7.3068 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6548 loss: 0.6548 2022/08/05 19:01:27 - mmengine - INFO - Epoch(train) [250][1540/1879] lr: 1.0000e-04 eta: 1:23:54 time: 0.4296 data_time: 0.0132 memory: 17087 grad_norm: 7.2765 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6046 loss: 0.6046 2022/08/05 19:01:36 - mmengine - INFO - Epoch(train) [250][1560/1879] lr: 1.0000e-04 eta: 1:23:45 time: 0.4646 data_time: 0.0202 memory: 17087 grad_norm: 7.1494 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6521 loss: 0.6521 2022/08/05 19:01:45 - mmengine - INFO - Epoch(train) [250][1580/1879] lr: 1.0000e-04 eta: 1:23:36 time: 0.4341 data_time: 0.0154 memory: 17087 grad_norm: 7.2533 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8819 loss: 0.8819 2022/08/05 19:01:54 - mmengine - INFO - Epoch(train) [250][1600/1879] lr: 1.0000e-04 eta: 1:23:28 time: 0.4744 data_time: 0.0193 memory: 17087 grad_norm: 7.3506 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9159 loss: 0.9159 2022/08/05 19:02:03 - mmengine - INFO - Epoch(train) [250][1620/1879] lr: 1.0000e-04 eta: 1:23:19 time: 0.4332 data_time: 0.0163 memory: 17087 grad_norm: 7.2549 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7537 loss: 0.7537 2022/08/05 19:02:12 - mmengine - INFO - Epoch(train) [250][1640/1879] lr: 1.0000e-04 eta: 1:23:10 time: 0.4409 data_time: 0.0187 memory: 17087 grad_norm: 7.2685 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6476 loss: 0.6476 2022/08/05 19:02:20 - mmengine - INFO - Epoch(train) [250][1660/1879] lr: 1.0000e-04 eta: 1:23:02 time: 0.4301 data_time: 0.0152 memory: 17087 grad_norm: 7.2526 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.1056 loss: 1.1056 2022/08/05 19:02:29 - mmengine - INFO - Epoch(train) [250][1680/1879] lr: 1.0000e-04 eta: 1:22:53 time: 0.4389 data_time: 0.0207 memory: 17087 grad_norm: 7.0855 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8279 loss: 0.8279 2022/08/05 19:02:38 - mmengine - INFO - Epoch(train) [250][1700/1879] lr: 1.0000e-04 eta: 1:22:44 time: 0.4310 data_time: 0.0139 memory: 17087 grad_norm: 7.2325 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8409 loss: 0.8409 2022/08/05 19:02:47 - mmengine - INFO - Epoch(train) [250][1720/1879] lr: 1.0000e-04 eta: 1:22:36 time: 0.4324 data_time: 0.0170 memory: 17087 grad_norm: 7.6209 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8898 loss: 0.8898 2022/08/05 19:02:55 - mmengine - INFO - Epoch(train) [250][1740/1879] lr: 1.0000e-04 eta: 1:22:27 time: 0.4325 data_time: 0.0161 memory: 17087 grad_norm: 7.2897 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7682 loss: 0.7682 2022/08/05 19:03:04 - mmengine - INFO - Epoch(train) [250][1760/1879] lr: 1.0000e-04 eta: 1:22:18 time: 0.4330 data_time: 0.0164 memory: 17087 grad_norm: 7.4411 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8652 loss: 0.8652 2022/08/05 19:03:13 - mmengine - INFO - Epoch(train) [250][1780/1879] lr: 1.0000e-04 eta: 1:22:10 time: 0.4636 data_time: 0.0169 memory: 17087 grad_norm: 7.1243 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8079 loss: 0.8079 2022/08/05 19:03:22 - mmengine - INFO - Epoch(train) [250][1800/1879] lr: 1.0000e-04 eta: 1:22:01 time: 0.4328 data_time: 0.0159 memory: 17087 grad_norm: 7.1868 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8279 loss: 0.8279 2022/08/05 19:03:31 - mmengine - INFO - Epoch(train) [250][1820/1879] lr: 1.0000e-04 eta: 1:21:52 time: 0.4354 data_time: 0.0171 memory: 17087 grad_norm: 7.3120 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8341 loss: 0.8341 2022/08/05 19:03:39 - mmengine - INFO - Epoch(train) [250][1840/1879] lr: 1.0000e-04 eta: 1:21:44 time: 0.4329 data_time: 0.0170 memory: 17087 grad_norm: 7.0522 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8746 loss: 0.8746 2022/08/05 19:03:48 - mmengine - INFO - Epoch(train) [250][1860/1879] lr: 1.0000e-04 eta: 1:21:35 time: 0.4353 data_time: 0.0158 memory: 17087 grad_norm: 7.1931 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8941 loss: 0.8941 2022/08/05 19:03:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 19:03:56 - mmengine - INFO - Epoch(train) [250][1879/1879] lr: 1.0000e-04 eta: 1:21:35 time: 0.4146 data_time: 0.0147 memory: 17087 grad_norm: 7.7683 top1_acc: 0.4286 top5_acc: 0.8571 loss_cls: 0.9274 loss: 0.9274 2022/08/05 19:04:04 - mmengine - INFO - Epoch(val) [250][20/155] eta: 0:00:50 time: 0.3771 data_time: 0.2073 memory: 2821 2022/08/05 19:04:09 - mmengine - INFO - Epoch(val) [250][40/155] eta: 0:00:29 time: 0.2532 data_time: 0.0817 memory: 2821 2022/08/05 19:04:15 - mmengine - INFO - Epoch(val) [250][60/155] eta: 0:00:28 time: 0.2987 data_time: 0.1307 memory: 2821 2022/08/05 19:04:20 - mmengine - INFO - Epoch(val) [250][80/155] eta: 0:00:20 time: 0.2747 data_time: 0.1091 memory: 2821 2022/08/05 19:04:27 - mmengine - INFO - Epoch(val) [250][100/155] eta: 0:00:18 time: 0.3290 data_time: 0.1580 memory: 2821 2022/08/05 19:04:32 - mmengine - INFO - Epoch(val) [250][120/155] eta: 0:00:09 time: 0.2607 data_time: 0.0923 memory: 2821 2022/08/05 19:04:38 - mmengine - INFO - Epoch(val) [250][140/155] eta: 0:00:04 time: 0.3203 data_time: 0.1509 memory: 2821 2022/08/05 19:04:43 - mmengine - INFO - Epoch(val) [250][155/155] acc/top1: 0.6963 acc/top5: 0.8806 acc/mean1: 0.6962 2022/08/05 19:04:54 - mmengine - INFO - Epoch(train) [251][20/1879] lr: 1.0000e-04 eta: 1:21:18 time: 0.5502 data_time: 0.1083 memory: 17087 grad_norm: 6.9671 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8686 loss: 0.8686 2022/08/05 19:05:04 - mmengine - INFO - Epoch(train) [251][40/1879] lr: 1.0000e-04 eta: 1:21:09 time: 0.4651 data_time: 0.0182 memory: 17087 grad_norm: 7.0361 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7511 loss: 0.7511 2022/08/05 19:05:12 - mmengine - INFO - Epoch(train) [251][60/1879] lr: 1.0000e-04 eta: 1:21:01 time: 0.4323 data_time: 0.0152 memory: 17087 grad_norm: 7.1588 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8896 loss: 0.8896 2022/08/05 19:05:22 - mmengine - INFO - Epoch(train) [251][80/1879] lr: 1.0000e-04 eta: 1:20:52 time: 0.4659 data_time: 0.0215 memory: 17087 grad_norm: 7.2234 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6885 loss: 0.6885 2022/08/05 19:05:30 - mmengine - INFO - Epoch(train) [251][100/1879] lr: 1.0000e-04 eta: 1:20:43 time: 0.4378 data_time: 0.0139 memory: 17087 grad_norm: 6.9327 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6902 loss: 0.6902 2022/08/05 19:05:39 - mmengine - INFO - Epoch(train) [251][120/1879] lr: 1.0000e-04 eta: 1:20:35 time: 0.4352 data_time: 0.0188 memory: 17087 grad_norm: 7.2981 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0328 loss: 1.0328 2022/08/05 19:05:48 - mmengine - INFO - Epoch(train) [251][140/1879] lr: 1.0000e-04 eta: 1:20:26 time: 0.4296 data_time: 0.0144 memory: 17087 grad_norm: 7.0068 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8236 loss: 0.8236 2022/08/05 19:05:56 - mmengine - INFO - Epoch(train) [251][160/1879] lr: 1.0000e-04 eta: 1:20:17 time: 0.4317 data_time: 0.0169 memory: 17087 grad_norm: 7.2421 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9261 loss: 0.9261 2022/08/05 19:06:05 - mmengine - INFO - Epoch(train) [251][180/1879] lr: 1.0000e-04 eta: 1:20:09 time: 0.4514 data_time: 0.0162 memory: 17087 grad_norm: 7.1241 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7535 loss: 0.7535 2022/08/05 19:06:14 - mmengine - INFO - Epoch(train) [251][200/1879] lr: 1.0000e-04 eta: 1:20:00 time: 0.4309 data_time: 0.0154 memory: 17087 grad_norm: 7.5937 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7845 loss: 0.7845 2022/08/05 19:06:23 - mmengine - INFO - Epoch(train) [251][220/1879] lr: 1.0000e-04 eta: 1:19:51 time: 0.4427 data_time: 0.0229 memory: 17087 grad_norm: 7.3879 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8092 loss: 0.8092 2022/08/05 19:06:32 - mmengine - INFO - Epoch(train) [251][240/1879] lr: 1.0000e-04 eta: 1:19:43 time: 0.4366 data_time: 0.0181 memory: 17087 grad_norm: 7.3061 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7858 loss: 0.7858 2022/08/05 19:06:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 19:06:41 - mmengine - INFO - Epoch(train) [251][260/1879] lr: 1.0000e-04 eta: 1:19:34 time: 0.4466 data_time: 0.0148 memory: 17087 grad_norm: 7.0624 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9654 loss: 0.9654 2022/08/05 19:06:49 - mmengine - INFO - Epoch(train) [251][280/1879] lr: 1.0000e-04 eta: 1:19:25 time: 0.4383 data_time: 0.0192 memory: 17087 grad_norm: 7.2001 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7758 loss: 0.7758 2022/08/05 19:06:58 - mmengine - INFO - Epoch(train) [251][300/1879] lr: 1.0000e-04 eta: 1:19:17 time: 0.4345 data_time: 0.0168 memory: 17087 grad_norm: 7.1891 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8348 loss: 0.8348 2022/08/05 19:07:07 - mmengine - INFO - Epoch(train) [251][320/1879] lr: 1.0000e-04 eta: 1:19:08 time: 0.4311 data_time: 0.0161 memory: 17087 grad_norm: 7.2973 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7157 loss: 0.7157 2022/08/05 19:07:16 - mmengine - INFO - Epoch(train) [251][340/1879] lr: 1.0000e-04 eta: 1:18:59 time: 0.4343 data_time: 0.0167 memory: 17087 grad_norm: 7.1382 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9087 loss: 0.9087 2022/08/05 19:07:24 - mmengine - INFO - Epoch(train) [251][360/1879] lr: 1.0000e-04 eta: 1:18:51 time: 0.4395 data_time: 0.0183 memory: 17087 grad_norm: 7.4362 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7870 loss: 0.7870 2022/08/05 19:07:33 - mmengine - INFO - Epoch(train) [251][380/1879] lr: 1.0000e-04 eta: 1:18:42 time: 0.4356 data_time: 0.0183 memory: 17087 grad_norm: 7.0262 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7481 loss: 0.7481 2022/08/05 19:07:42 - mmengine - INFO - Epoch(train) [251][400/1879] lr: 1.0000e-04 eta: 1:18:33 time: 0.4507 data_time: 0.0166 memory: 17087 grad_norm: 7.3229 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8141 loss: 0.8141 2022/08/05 19:07:51 - mmengine - INFO - Epoch(train) [251][420/1879] lr: 1.0000e-04 eta: 1:18:25 time: 0.4326 data_time: 0.0164 memory: 17087 grad_norm: 7.1831 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9259 loss: 0.9259 2022/08/05 19:08:00 - mmengine - INFO - Epoch(train) [251][440/1879] lr: 1.0000e-04 eta: 1:18:16 time: 0.4560 data_time: 0.0219 memory: 17087 grad_norm: 7.3287 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7898 loss: 0.7898 2022/08/05 19:08:09 - mmengine - INFO - Epoch(train) [251][460/1879] lr: 1.0000e-04 eta: 1:18:07 time: 0.4328 data_time: 0.0173 memory: 17087 grad_norm: 7.1722 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7439 loss: 0.7439 2022/08/05 19:08:17 - mmengine - INFO - Epoch(train) [251][480/1879] lr: 1.0000e-04 eta: 1:17:59 time: 0.4313 data_time: 0.0160 memory: 17087 grad_norm: 7.4579 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7501 loss: 0.7501 2022/08/05 19:08:26 - mmengine - INFO - Epoch(train) [251][500/1879] lr: 1.0000e-04 eta: 1:17:50 time: 0.4575 data_time: 0.0174 memory: 17087 grad_norm: 7.2792 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.6788 loss: 0.6788 2022/08/05 19:08:35 - mmengine - INFO - Epoch(train) [251][520/1879] lr: 1.0000e-04 eta: 1:17:41 time: 0.4319 data_time: 0.0151 memory: 17087 grad_norm: 7.2864 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9792 loss: 0.9792 2022/08/05 19:08:44 - mmengine - INFO - Epoch(train) [251][540/1879] lr: 1.0000e-04 eta: 1:17:33 time: 0.4580 data_time: 0.0164 memory: 17087 grad_norm: 7.5310 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9174 loss: 0.9174 2022/08/05 19:08:53 - mmengine - INFO - Epoch(train) [251][560/1879] lr: 1.0000e-04 eta: 1:17:24 time: 0.4322 data_time: 0.0166 memory: 17087 grad_norm: 7.5482 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 1.0549 loss: 1.0549 2022/08/05 19:09:02 - mmengine - INFO - Epoch(train) [251][580/1879] lr: 1.0000e-04 eta: 1:17:15 time: 0.4496 data_time: 0.0156 memory: 17087 grad_norm: 6.9169 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7807 loss: 0.7807 2022/08/05 19:09:11 - mmengine - INFO - Epoch(train) [251][600/1879] lr: 1.0000e-04 eta: 1:17:07 time: 0.4317 data_time: 0.0162 memory: 17087 grad_norm: 7.3004 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7930 loss: 0.7930 2022/08/05 19:09:19 - mmengine - INFO - Epoch(train) [251][620/1879] lr: 1.0000e-04 eta: 1:16:58 time: 0.4401 data_time: 0.0172 memory: 17087 grad_norm: 7.3975 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8158 loss: 0.8158 2022/08/05 19:09:28 - mmengine - INFO - Epoch(train) [251][640/1879] lr: 1.0000e-04 eta: 1:16:49 time: 0.4306 data_time: 0.0166 memory: 17087 grad_norm: 7.1824 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7492 loss: 0.7492 2022/08/05 19:09:37 - mmengine - INFO - Epoch(train) [251][660/1879] lr: 1.0000e-04 eta: 1:16:41 time: 0.4309 data_time: 0.0149 memory: 17087 grad_norm: 7.2505 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8329 loss: 0.8329 2022/08/05 19:09:46 - mmengine - INFO - Epoch(train) [251][680/1879] lr: 1.0000e-04 eta: 1:16:32 time: 0.4373 data_time: 0.0177 memory: 17087 grad_norm: 6.8300 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6970 loss: 0.6970 2022/08/05 19:09:54 - mmengine - INFO - Epoch(train) [251][700/1879] lr: 1.0000e-04 eta: 1:16:23 time: 0.4338 data_time: 0.0175 memory: 17087 grad_norm: 7.2735 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9038 loss: 0.9038 2022/08/05 19:10:03 - mmengine - INFO - Epoch(train) [251][720/1879] lr: 1.0000e-04 eta: 1:16:15 time: 0.4322 data_time: 0.0166 memory: 17087 grad_norm: 7.3815 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6445 loss: 0.6445 2022/08/05 19:10:12 - mmengine - INFO - Epoch(train) [251][740/1879] lr: 1.0000e-04 eta: 1:16:06 time: 0.4352 data_time: 0.0151 memory: 17087 grad_norm: 7.2364 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8206 loss: 0.8206 2022/08/05 19:10:21 - mmengine - INFO - Epoch(train) [251][760/1879] lr: 1.0000e-04 eta: 1:15:57 time: 0.4457 data_time: 0.0172 memory: 17087 grad_norm: 7.1262 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8273 loss: 0.8273 2022/08/05 19:10:29 - mmengine - INFO - Epoch(train) [251][780/1879] lr: 1.0000e-04 eta: 1:15:49 time: 0.4328 data_time: 0.0151 memory: 17087 grad_norm: 7.2519 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8459 loss: 0.8459 2022/08/05 19:10:38 - mmengine - INFO - Epoch(train) [251][800/1879] lr: 1.0000e-04 eta: 1:15:40 time: 0.4317 data_time: 0.0150 memory: 17087 grad_norm: 7.2445 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8331 loss: 0.8331 2022/08/05 19:10:47 - mmengine - INFO - Epoch(train) [251][820/1879] lr: 1.0000e-04 eta: 1:15:31 time: 0.4621 data_time: 0.0176 memory: 17087 grad_norm: 7.2911 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8848 loss: 0.8848 2022/08/05 19:10:56 - mmengine - INFO - Epoch(train) [251][840/1879] lr: 1.0000e-04 eta: 1:15:23 time: 0.4352 data_time: 0.0188 memory: 17087 grad_norm: 7.1703 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8203 loss: 0.8203 2022/08/05 19:11:05 - mmengine - INFO - Epoch(train) [251][860/1879] lr: 1.0000e-04 eta: 1:15:14 time: 0.4406 data_time: 0.0161 memory: 17087 grad_norm: 7.2441 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8520 loss: 0.8520 2022/08/05 19:11:13 - mmengine - INFO - Epoch(train) [251][880/1879] lr: 1.0000e-04 eta: 1:15:05 time: 0.4331 data_time: 0.0163 memory: 17087 grad_norm: 7.4054 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8378 loss: 0.8378 2022/08/05 19:11:22 - mmengine - INFO - Epoch(train) [251][900/1879] lr: 1.0000e-04 eta: 1:14:57 time: 0.4489 data_time: 0.0161 memory: 17087 grad_norm: 7.4830 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8013 loss: 0.8013 2022/08/05 19:11:31 - mmengine - INFO - Epoch(train) [251][920/1879] lr: 1.0000e-04 eta: 1:14:48 time: 0.4307 data_time: 0.0175 memory: 17087 grad_norm: 7.3319 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7004 loss: 0.7004 2022/08/05 19:11:40 - mmengine - INFO - Epoch(train) [251][940/1879] lr: 1.0000e-04 eta: 1:14:39 time: 0.4400 data_time: 0.0153 memory: 17087 grad_norm: 7.1717 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9368 loss: 0.9368 2022/08/05 19:11:49 - mmengine - INFO - Epoch(train) [251][960/1879] lr: 1.0000e-04 eta: 1:14:31 time: 0.4313 data_time: 0.0176 memory: 17087 grad_norm: 7.2447 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7549 loss: 0.7549 2022/08/05 19:11:57 - mmengine - INFO - Epoch(train) [251][980/1879] lr: 1.0000e-04 eta: 1:14:22 time: 0.4284 data_time: 0.0150 memory: 17087 grad_norm: 7.3590 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7974 loss: 0.7974 2022/08/05 19:12:06 - mmengine - INFO - Epoch(train) [251][1000/1879] lr: 1.0000e-04 eta: 1:14:13 time: 0.4475 data_time: 0.0166 memory: 17087 grad_norm: 7.4125 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7517 loss: 0.7517 2022/08/05 19:12:15 - mmengine - INFO - Epoch(train) [251][1020/1879] lr: 1.0000e-04 eta: 1:14:05 time: 0.4371 data_time: 0.0170 memory: 17087 grad_norm: 7.3290 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9977 loss: 0.9977 2022/08/05 19:12:24 - mmengine - INFO - Epoch(train) [251][1040/1879] lr: 1.0000e-04 eta: 1:13:56 time: 0.4321 data_time: 0.0165 memory: 17087 grad_norm: 7.2560 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8052 loss: 0.8052 2022/08/05 19:12:33 - mmengine - INFO - Epoch(train) [251][1060/1879] lr: 1.0000e-04 eta: 1:13:47 time: 0.4585 data_time: 0.0193 memory: 17087 grad_norm: 7.7065 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9316 loss: 0.9316 2022/08/05 19:12:41 - mmengine - INFO - Epoch(train) [251][1080/1879] lr: 1.0000e-04 eta: 1:13:39 time: 0.4376 data_time: 0.0193 memory: 17087 grad_norm: 7.3962 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8128 loss: 0.8128 2022/08/05 19:12:50 - mmengine - INFO - Epoch(train) [251][1100/1879] lr: 1.0000e-04 eta: 1:13:30 time: 0.4323 data_time: 0.0158 memory: 17087 grad_norm: 7.0569 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7092 loss: 0.7092 2022/08/05 19:12:59 - mmengine - INFO - Epoch(train) [251][1120/1879] lr: 1.0000e-04 eta: 1:13:21 time: 0.4315 data_time: 0.0156 memory: 17087 grad_norm: 7.3337 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8294 loss: 0.8294 2022/08/05 19:13:07 - mmengine - INFO - Epoch(train) [251][1140/1879] lr: 1.0000e-04 eta: 1:13:13 time: 0.4318 data_time: 0.0153 memory: 17087 grad_norm: 7.1380 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8099 loss: 0.8099 2022/08/05 19:13:17 - mmengine - INFO - Epoch(train) [251][1160/1879] lr: 1.0000e-04 eta: 1:13:04 time: 0.4634 data_time: 0.0168 memory: 17087 grad_norm: 7.2618 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8876 loss: 0.8876 2022/08/05 19:13:25 - mmengine - INFO - Epoch(train) [251][1180/1879] lr: 1.0000e-04 eta: 1:12:55 time: 0.4345 data_time: 0.0192 memory: 17087 grad_norm: 7.3813 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7740 loss: 0.7740 2022/08/05 19:13:34 - mmengine - INFO - Epoch(train) [251][1200/1879] lr: 1.0000e-04 eta: 1:12:47 time: 0.4381 data_time: 0.0188 memory: 17087 grad_norm: 7.2407 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7086 loss: 0.7086 2022/08/05 19:13:43 - mmengine - INFO - Epoch(train) [251][1220/1879] lr: 1.0000e-04 eta: 1:12:38 time: 0.4308 data_time: 0.0163 memory: 17087 grad_norm: 7.0932 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8663 loss: 0.8663 2022/08/05 19:13:52 - mmengine - INFO - Epoch(train) [251][1240/1879] lr: 1.0000e-04 eta: 1:12:29 time: 0.4372 data_time: 0.0180 memory: 17087 grad_norm: 7.1710 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8379 loss: 0.8379 2022/08/05 19:13:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 19:14:00 - mmengine - INFO - Epoch(train) [251][1260/1879] lr: 1.0000e-04 eta: 1:12:21 time: 0.4307 data_time: 0.0155 memory: 17087 grad_norm: 7.3449 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8049 loss: 0.8049 2022/08/05 19:14:09 - mmengine - INFO - Epoch(train) [251][1280/1879] lr: 1.0000e-04 eta: 1:12:12 time: 0.4487 data_time: 0.0189 memory: 17087 grad_norm: 7.5217 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9369 loss: 0.9369 2022/08/05 19:14:18 - mmengine - INFO - Epoch(train) [251][1300/1879] lr: 1.0000e-04 eta: 1:12:03 time: 0.4315 data_time: 0.0152 memory: 17087 grad_norm: 7.1984 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7751 loss: 0.7751 2022/08/05 19:14:27 - mmengine - INFO - Epoch(train) [251][1320/1879] lr: 1.0000e-04 eta: 1:11:55 time: 0.4368 data_time: 0.0209 memory: 17087 grad_norm: 7.2182 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7124 loss: 0.7124 2022/08/05 19:14:35 - mmengine - INFO - Epoch(train) [251][1340/1879] lr: 1.0000e-04 eta: 1:11:46 time: 0.4326 data_time: 0.0147 memory: 17087 grad_norm: 7.2331 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8201 loss: 0.8201 2022/08/05 19:14:45 - mmengine - INFO - Epoch(train) [251][1360/1879] lr: 1.0000e-04 eta: 1:11:37 time: 0.4550 data_time: 0.0177 memory: 17087 grad_norm: 7.1023 top1_acc: 0.6250 top5_acc: 0.6250 loss_cls: 0.9407 loss: 0.9407 2022/08/05 19:14:53 - mmengine - INFO - Epoch(train) [251][1380/1879] lr: 1.0000e-04 eta: 1:11:29 time: 0.4305 data_time: 0.0164 memory: 17087 grad_norm: 7.1812 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7958 loss: 0.7958 2022/08/05 19:15:02 - mmengine - INFO - Epoch(train) [251][1400/1879] lr: 1.0000e-04 eta: 1:11:20 time: 0.4361 data_time: 0.0156 memory: 17087 grad_norm: 7.0193 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9111 loss: 0.9111 2022/08/05 19:15:11 - mmengine - INFO - Epoch(train) [251][1420/1879] lr: 1.0000e-04 eta: 1:11:11 time: 0.4508 data_time: 0.0158 memory: 17087 grad_norm: 7.2794 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.7658 loss: 0.7658 2022/08/05 19:15:20 - mmengine - INFO - Epoch(train) [251][1440/1879] lr: 1.0000e-04 eta: 1:11:03 time: 0.4317 data_time: 0.0153 memory: 17087 grad_norm: 7.6531 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7855 loss: 0.7855 2022/08/05 19:15:28 - mmengine - INFO - Epoch(train) [251][1460/1879] lr: 1.0000e-04 eta: 1:10:54 time: 0.4325 data_time: 0.0168 memory: 17087 grad_norm: 7.2706 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8836 loss: 0.8836 2022/08/05 19:15:37 - mmengine - INFO - Epoch(train) [251][1480/1879] lr: 1.0000e-04 eta: 1:10:45 time: 0.4374 data_time: 0.0183 memory: 17087 grad_norm: 7.0548 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7522 loss: 0.7522 2022/08/05 19:15:46 - mmengine - INFO - Epoch(train) [251][1500/1879] lr: 1.0000e-04 eta: 1:10:37 time: 0.4378 data_time: 0.0159 memory: 17087 grad_norm: 7.1982 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7400 loss: 0.7400 2022/08/05 19:15:55 - mmengine - INFO - Epoch(train) [251][1520/1879] lr: 1.0000e-04 eta: 1:10:28 time: 0.4384 data_time: 0.0201 memory: 17087 grad_norm: 7.3760 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9168 loss: 0.9168 2022/08/05 19:16:03 - mmengine - INFO - Epoch(train) [251][1540/1879] lr: 1.0000e-04 eta: 1:10:19 time: 0.4367 data_time: 0.0157 memory: 17087 grad_norm: 7.4952 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8204 loss: 0.8204 2022/08/05 19:16:12 - mmengine - INFO - Epoch(train) [251][1560/1879] lr: 1.0000e-04 eta: 1:10:11 time: 0.4396 data_time: 0.0182 memory: 17087 grad_norm: 7.0596 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8412 loss: 0.8412 2022/08/05 19:16:21 - mmengine - INFO - Epoch(train) [251][1580/1879] lr: 1.0000e-04 eta: 1:10:02 time: 0.4308 data_time: 0.0151 memory: 17087 grad_norm: 7.2251 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8358 loss: 0.8358 2022/08/05 19:16:30 - mmengine - INFO - Epoch(train) [251][1600/1879] lr: 1.0000e-04 eta: 1:09:53 time: 0.4511 data_time: 0.0192 memory: 17087 grad_norm: 6.9340 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8373 loss: 0.8373 2022/08/05 19:16:38 - mmengine - INFO - Epoch(train) [251][1620/1879] lr: 1.0000e-04 eta: 1:09:45 time: 0.4282 data_time: 0.0150 memory: 17087 grad_norm: 7.3407 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7724 loss: 0.7724 2022/08/05 19:16:47 - mmengine - INFO - Epoch(train) [251][1640/1879] lr: 1.0000e-04 eta: 1:09:36 time: 0.4368 data_time: 0.0171 memory: 17087 grad_norm: 7.1593 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9136 loss: 0.9136 2022/08/05 19:16:56 - mmengine - INFO - Epoch(train) [251][1660/1879] lr: 1.0000e-04 eta: 1:09:27 time: 0.4329 data_time: 0.0151 memory: 17087 grad_norm: 7.4158 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 1.0052 loss: 1.0052 2022/08/05 19:17:05 - mmengine - INFO - Epoch(train) [251][1680/1879] lr: 1.0000e-04 eta: 1:09:19 time: 0.4661 data_time: 0.0183 memory: 17087 grad_norm: 7.3293 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7437 loss: 0.7437 2022/08/05 19:17:14 - mmengine - INFO - Epoch(train) [251][1700/1879] lr: 1.0000e-04 eta: 1:09:10 time: 0.4320 data_time: 0.0160 memory: 17087 grad_norm: 7.1189 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8231 loss: 0.8231 2022/08/05 19:17:24 - mmengine - INFO - Epoch(train) [251][1720/1879] lr: 1.0000e-04 eta: 1:09:01 time: 0.4806 data_time: 0.0267 memory: 17087 grad_norm: 7.3638 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6874 loss: 0.6874 2022/08/05 19:17:32 - mmengine - INFO - Epoch(train) [251][1740/1879] lr: 1.0000e-04 eta: 1:08:53 time: 0.4317 data_time: 0.0158 memory: 17087 grad_norm: 7.1275 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7049 loss: 0.7049 2022/08/05 19:17:42 - mmengine - INFO - Epoch(train) [251][1760/1879] lr: 1.0000e-04 eta: 1:08:44 time: 0.4665 data_time: 0.0188 memory: 17087 grad_norm: 7.3858 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8040 loss: 0.8040 2022/08/05 19:17:50 - mmengine - INFO - Epoch(train) [251][1780/1879] lr: 1.0000e-04 eta: 1:08:35 time: 0.4326 data_time: 0.0165 memory: 17087 grad_norm: 7.5578 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7108 loss: 0.7108 2022/08/05 19:17:59 - mmengine - INFO - Epoch(train) [251][1800/1879] lr: 1.0000e-04 eta: 1:08:27 time: 0.4442 data_time: 0.0162 memory: 17087 grad_norm: 7.2952 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8104 loss: 0.8104 2022/08/05 19:18:08 - mmengine - INFO - Epoch(train) [251][1820/1879] lr: 1.0000e-04 eta: 1:08:18 time: 0.4318 data_time: 0.0150 memory: 17087 grad_norm: 7.5035 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9412 loss: 0.9412 2022/08/05 19:18:17 - mmengine - INFO - Epoch(train) [251][1840/1879] lr: 1.0000e-04 eta: 1:08:09 time: 0.4333 data_time: 0.0175 memory: 17087 grad_norm: 7.1391 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9050 loss: 0.9050 2022/08/05 19:18:25 - mmengine - INFO - Epoch(train) [251][1860/1879] lr: 1.0000e-04 eta: 1:08:01 time: 0.4331 data_time: 0.0153 memory: 17087 grad_norm: 7.5352 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8622 loss: 0.8622 2022/08/05 19:18:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 19:18:33 - mmengine - INFO - Epoch(train) [251][1879/1879] lr: 1.0000e-04 eta: 1:08:01 time: 0.4200 data_time: 0.0160 memory: 17087 grad_norm: 7.3554 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7507 loss: 0.7507 2022/08/05 19:18:45 - mmengine - INFO - Epoch(train) [252][20/1879] lr: 1.0000e-04 eta: 1:07:44 time: 0.5740 data_time: 0.1323 memory: 17087 grad_norm: 7.4232 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.8659 loss: 0.8659 2022/08/05 19:18:53 - mmengine - INFO - Epoch(train) [252][40/1879] lr: 1.0000e-04 eta: 1:07:35 time: 0.4316 data_time: 0.0175 memory: 17087 grad_norm: 7.1390 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7240 loss: 0.7240 2022/08/05 19:19:02 - mmengine - INFO - Epoch(train) [252][60/1879] lr: 1.0000e-04 eta: 1:07:26 time: 0.4333 data_time: 0.0151 memory: 17087 grad_norm: 7.6608 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8631 loss: 0.8631 2022/08/05 19:19:11 - mmengine - INFO - Epoch(train) [252][80/1879] lr: 1.0000e-04 eta: 1:07:18 time: 0.4345 data_time: 0.0179 memory: 17087 grad_norm: 7.1210 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.6907 loss: 0.6907 2022/08/05 19:19:20 - mmengine - INFO - Epoch(train) [252][100/1879] lr: 1.0000e-04 eta: 1:07:09 time: 0.4352 data_time: 0.0162 memory: 17087 grad_norm: 7.2212 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8542 loss: 0.8542 2022/08/05 19:19:28 - mmengine - INFO - Epoch(train) [252][120/1879] lr: 1.0000e-04 eta: 1:07:00 time: 0.4307 data_time: 0.0152 memory: 17087 grad_norm: 7.4046 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8755 loss: 0.8755 2022/08/05 19:19:37 - mmengine - INFO - Epoch(train) [252][140/1879] lr: 1.0000e-04 eta: 1:06:52 time: 0.4313 data_time: 0.0159 memory: 17087 grad_norm: 6.8968 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7883 loss: 0.7883 2022/08/05 19:19:46 - mmengine - INFO - Epoch(train) [252][160/1879] lr: 1.0000e-04 eta: 1:06:43 time: 0.4368 data_time: 0.0161 memory: 17087 grad_norm: 7.6217 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8804 loss: 0.8804 2022/08/05 19:19:54 - mmengine - INFO - Epoch(train) [252][180/1879] lr: 1.0000e-04 eta: 1:06:34 time: 0.4366 data_time: 0.0188 memory: 17087 grad_norm: 7.1060 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6953 loss: 0.6953 2022/08/05 19:20:03 - mmengine - INFO - Epoch(train) [252][200/1879] lr: 1.0000e-04 eta: 1:06:26 time: 0.4318 data_time: 0.0163 memory: 17087 grad_norm: 7.3056 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6941 loss: 0.6941 2022/08/05 19:20:13 - mmengine - INFO - Epoch(train) [252][220/1879] lr: 1.0000e-04 eta: 1:06:17 time: 0.4785 data_time: 0.0183 memory: 17087 grad_norm: 7.5747 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9400 loss: 0.9400 2022/08/05 19:20:21 - mmengine - INFO - Epoch(train) [252][240/1879] lr: 1.0000e-04 eta: 1:06:08 time: 0.4352 data_time: 0.0185 memory: 17087 grad_norm: 7.3063 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7958 loss: 0.7958 2022/08/05 19:20:30 - mmengine - INFO - Epoch(train) [252][260/1879] lr: 1.0000e-04 eta: 1:06:00 time: 0.4503 data_time: 0.0165 memory: 17087 grad_norm: 7.2516 top1_acc: 0.5625 top5_acc: 0.8750 loss_cls: 0.9153 loss: 0.9153 2022/08/05 19:20:39 - mmengine - INFO - Epoch(train) [252][280/1879] lr: 1.0000e-04 eta: 1:05:51 time: 0.4304 data_time: 0.0158 memory: 17087 grad_norm: 7.3736 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8369 loss: 0.8369 2022/08/05 19:20:48 - mmengine - INFO - Epoch(train) [252][300/1879] lr: 1.0000e-04 eta: 1:05:42 time: 0.4306 data_time: 0.0156 memory: 17087 grad_norm: 7.2128 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7833 loss: 0.7833 2022/08/05 19:20:56 - mmengine - INFO - Epoch(train) [252][320/1879] lr: 1.0000e-04 eta: 1:05:34 time: 0.4384 data_time: 0.0190 memory: 17087 grad_norm: 7.2658 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8506 loss: 0.8506 2022/08/05 19:21:05 - mmengine - INFO - Epoch(train) [252][340/1879] lr: 1.0000e-04 eta: 1:05:25 time: 0.4315 data_time: 0.0153 memory: 17087 grad_norm: 7.1375 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9559 loss: 0.9559 2022/08/05 19:21:14 - mmengine - INFO - Epoch(train) [252][360/1879] lr: 1.0000e-04 eta: 1:05:16 time: 0.4386 data_time: 0.0176 memory: 17087 grad_norm: 7.0616 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7861 loss: 0.7861 2022/08/05 19:21:19 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 19:21:23 - mmengine - INFO - Epoch(train) [252][380/1879] lr: 1.0000e-04 eta: 1:05:08 time: 0.4314 data_time: 0.0157 memory: 17087 grad_norm: 7.2090 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7650 loss: 0.7650 2022/08/05 19:21:31 - mmengine - INFO - Epoch(train) [252][400/1879] lr: 1.0000e-04 eta: 1:04:59 time: 0.4401 data_time: 0.0166 memory: 17087 grad_norm: 7.1666 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9339 loss: 0.9339 2022/08/05 19:21:40 - mmengine - INFO - Epoch(train) [252][420/1879] lr: 1.0000e-04 eta: 1:04:50 time: 0.4320 data_time: 0.0159 memory: 17087 grad_norm: 7.2834 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8708 loss: 0.8708 2022/08/05 19:21:49 - mmengine - INFO - Epoch(train) [252][440/1879] lr: 1.0000e-04 eta: 1:04:42 time: 0.4310 data_time: 0.0156 memory: 17087 grad_norm: 7.2286 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8178 loss: 0.8178 2022/08/05 19:21:58 - mmengine - INFO - Epoch(train) [252][460/1879] lr: 1.0000e-04 eta: 1:04:33 time: 0.4488 data_time: 0.0172 memory: 17087 grad_norm: 7.1741 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7556 loss: 0.7556 2022/08/05 19:22:06 - mmengine - INFO - Epoch(train) [252][480/1879] lr: 1.0000e-04 eta: 1:04:24 time: 0.4323 data_time: 0.0163 memory: 17087 grad_norm: 7.3472 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8779 loss: 0.8779 2022/08/05 19:22:15 - mmengine - INFO - Epoch(train) [252][500/1879] lr: 1.0000e-04 eta: 1:04:16 time: 0.4323 data_time: 0.0177 memory: 17087 grad_norm: 6.9919 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7486 loss: 0.7486 2022/08/05 19:22:24 - mmengine - INFO - Epoch(train) [252][520/1879] lr: 1.0000e-04 eta: 1:04:07 time: 0.4337 data_time: 0.0188 memory: 17087 grad_norm: 7.3158 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.9636 loss: 0.9636 2022/08/05 19:22:33 - mmengine - INFO - Epoch(train) [252][540/1879] lr: 1.0000e-04 eta: 1:03:58 time: 0.4414 data_time: 0.0182 memory: 17087 grad_norm: 7.2724 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7328 loss: 0.7328 2022/08/05 19:22:41 - mmengine - INFO - Epoch(train) [252][560/1879] lr: 1.0000e-04 eta: 1:03:50 time: 0.4326 data_time: 0.0184 memory: 17087 grad_norm: 6.9521 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7885 loss: 0.7885 2022/08/05 19:22:50 - mmengine - INFO - Epoch(train) [252][580/1879] lr: 1.0000e-04 eta: 1:03:41 time: 0.4610 data_time: 0.0169 memory: 17087 grad_norm: 7.4202 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6668 loss: 0.6668 2022/08/05 19:22:59 - mmengine - INFO - Epoch(train) [252][600/1879] lr: 1.0000e-04 eta: 1:03:32 time: 0.4329 data_time: 0.0178 memory: 17087 grad_norm: 7.0469 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7616 loss: 0.7616 2022/08/05 19:23:08 - mmengine - INFO - Epoch(train) [252][620/1879] lr: 1.0000e-04 eta: 1:03:24 time: 0.4336 data_time: 0.0149 memory: 17087 grad_norm: 7.3399 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7700 loss: 0.7700 2022/08/05 19:23:17 - mmengine - INFO - Epoch(train) [252][640/1879] lr: 1.0000e-04 eta: 1:03:15 time: 0.4355 data_time: 0.0160 memory: 17087 grad_norm: 7.2191 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8055 loss: 0.8055 2022/08/05 19:23:26 - mmengine - INFO - Epoch(train) [252][660/1879] lr: 1.0000e-04 eta: 1:03:06 time: 0.4546 data_time: 0.0177 memory: 17087 grad_norm: 7.1213 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8641 loss: 0.8641 2022/08/05 19:23:35 - mmengine - INFO - Epoch(train) [252][680/1879] lr: 1.0000e-04 eta: 1:02:58 time: 0.4352 data_time: 0.0155 memory: 17087 grad_norm: 7.2349 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7910 loss: 0.7910 2022/08/05 19:23:43 - mmengine - INFO - Epoch(train) [252][700/1879] lr: 1.0000e-04 eta: 1:02:49 time: 0.4410 data_time: 0.0204 memory: 17087 grad_norm: 7.4266 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.6886 loss: 0.6886 2022/08/05 19:23:52 - mmengine - INFO - Epoch(train) [252][720/1879] lr: 1.0000e-04 eta: 1:02:40 time: 0.4381 data_time: 0.0183 memory: 17087 grad_norm: 6.8801 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7403 loss: 0.7403 2022/08/05 19:24:01 - mmengine - INFO - Epoch(train) [252][740/1879] lr: 1.0000e-04 eta: 1:02:32 time: 0.4567 data_time: 0.0172 memory: 17087 grad_norm: 7.1710 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7306 loss: 0.7306 2022/08/05 19:24:10 - mmengine - INFO - Epoch(train) [252][760/1879] lr: 1.0000e-04 eta: 1:02:23 time: 0.4490 data_time: 0.0172 memory: 17087 grad_norm: 7.4217 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8967 loss: 0.8967 2022/08/05 19:24:19 - mmengine - INFO - Epoch(train) [252][780/1879] lr: 1.0000e-04 eta: 1:02:14 time: 0.4334 data_time: 0.0174 memory: 17087 grad_norm: 7.1240 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6714 loss: 0.6714 2022/08/05 19:24:28 - mmengine - INFO - Epoch(train) [252][800/1879] lr: 1.0000e-04 eta: 1:02:06 time: 0.4390 data_time: 0.0167 memory: 17087 grad_norm: 7.2638 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8280 loss: 0.8280 2022/08/05 19:24:36 - mmengine - INFO - Epoch(train) [252][820/1879] lr: 1.0000e-04 eta: 1:01:57 time: 0.4323 data_time: 0.0158 memory: 17087 grad_norm: 7.1958 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7337 loss: 0.7337 2022/08/05 19:24:46 - mmengine - INFO - Epoch(train) [252][840/1879] lr: 1.0000e-04 eta: 1:01:48 time: 0.4806 data_time: 0.0194 memory: 17087 grad_norm: 7.1161 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7587 loss: 0.7587 2022/08/05 19:24:55 - mmengine - INFO - Epoch(train) [252][860/1879] lr: 1.0000e-04 eta: 1:01:40 time: 0.4292 data_time: 0.0154 memory: 17087 grad_norm: 6.8282 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7381 loss: 0.7381 2022/08/05 19:25:04 - mmengine - INFO - Epoch(train) [252][880/1879] lr: 1.0000e-04 eta: 1:01:31 time: 0.4730 data_time: 0.0179 memory: 17087 grad_norm: 6.8511 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7971 loss: 0.7971 2022/08/05 19:25:13 - mmengine - INFO - Epoch(train) [252][900/1879] lr: 1.0000e-04 eta: 1:01:22 time: 0.4315 data_time: 0.0158 memory: 17087 grad_norm: 7.1762 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9615 loss: 0.9615 2022/08/05 19:25:22 - mmengine - INFO - Epoch(train) [252][920/1879] lr: 1.0000e-04 eta: 1:01:14 time: 0.4471 data_time: 0.0176 memory: 17087 grad_norm: 7.4748 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8985 loss: 0.8985 2022/08/05 19:25:30 - mmengine - INFO - Epoch(train) [252][940/1879] lr: 1.0000e-04 eta: 1:01:05 time: 0.4309 data_time: 0.0164 memory: 17087 grad_norm: 7.3678 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9032 loss: 0.9032 2022/08/05 19:25:39 - mmengine - INFO - Epoch(train) [252][960/1879] lr: 1.0000e-04 eta: 1:00:56 time: 0.4321 data_time: 0.0160 memory: 17087 grad_norm: 6.9695 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7042 loss: 0.7042 2022/08/05 19:25:48 - mmengine - INFO - Epoch(train) [252][980/1879] lr: 1.0000e-04 eta: 1:00:48 time: 0.4467 data_time: 0.0161 memory: 17087 grad_norm: 7.3735 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8800 loss: 0.8800 2022/08/05 19:25:57 - mmengine - INFO - Epoch(train) [252][1000/1879] lr: 1.0000e-04 eta: 1:00:39 time: 0.4345 data_time: 0.0188 memory: 17087 grad_norm: 7.3576 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8203 loss: 0.8203 2022/08/05 19:26:06 - mmengine - INFO - Epoch(train) [252][1020/1879] lr: 1.0000e-04 eta: 1:00:30 time: 0.4396 data_time: 0.0167 memory: 17087 grad_norm: 7.2802 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9087 loss: 0.9087 2022/08/05 19:26:14 - mmengine - INFO - Epoch(train) [252][1040/1879] lr: 1.0000e-04 eta: 1:00:22 time: 0.4325 data_time: 0.0175 memory: 17087 grad_norm: 7.2479 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8261 loss: 0.8261 2022/08/05 19:26:23 - mmengine - INFO - Epoch(train) [252][1060/1879] lr: 1.0000e-04 eta: 1:00:13 time: 0.4452 data_time: 0.0187 memory: 17087 grad_norm: 7.3062 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9292 loss: 0.9292 2022/08/05 19:26:32 - mmengine - INFO - Epoch(train) [252][1080/1879] lr: 1.0000e-04 eta: 1:00:04 time: 0.4315 data_time: 0.0158 memory: 17087 grad_norm: 7.2012 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9744 loss: 0.9744 2022/08/05 19:26:41 - mmengine - INFO - Epoch(train) [252][1100/1879] lr: 1.0000e-04 eta: 0:59:56 time: 0.4557 data_time: 0.0167 memory: 17087 grad_norm: 7.2158 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7834 loss: 0.7834 2022/08/05 19:26:50 - mmengine - INFO - Epoch(train) [252][1120/1879] lr: 1.0000e-04 eta: 0:59:47 time: 0.4308 data_time: 0.0157 memory: 17087 grad_norm: 7.0667 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7422 loss: 0.7422 2022/08/05 19:26:58 - mmengine - INFO - Epoch(train) [252][1140/1879] lr: 1.0000e-04 eta: 0:59:38 time: 0.4317 data_time: 0.0145 memory: 17087 grad_norm: 7.0271 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7910 loss: 0.7910 2022/08/05 19:27:08 - mmengine - INFO - Epoch(train) [252][1160/1879] lr: 1.0000e-04 eta: 0:59:30 time: 0.4653 data_time: 0.0200 memory: 17087 grad_norm: 7.1836 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8559 loss: 0.8559 2022/08/05 19:27:16 - mmengine - INFO - Epoch(train) [252][1180/1879] lr: 1.0000e-04 eta: 0:59:21 time: 0.4325 data_time: 0.0160 memory: 17087 grad_norm: 7.1830 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7610 loss: 0.7610 2022/08/05 19:27:25 - mmengine - INFO - Epoch(train) [252][1200/1879] lr: 1.0000e-04 eta: 0:59:12 time: 0.4418 data_time: 0.0177 memory: 17087 grad_norm: 7.4825 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9196 loss: 0.9196 2022/08/05 19:27:34 - mmengine - INFO - Epoch(train) [252][1220/1879] lr: 1.0000e-04 eta: 0:59:04 time: 0.4315 data_time: 0.0157 memory: 17087 grad_norm: 7.2132 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7720 loss: 0.7720 2022/08/05 19:27:43 - mmengine - INFO - Epoch(train) [252][1240/1879] lr: 1.0000e-04 eta: 0:58:55 time: 0.4714 data_time: 0.0196 memory: 17087 grad_norm: 7.2689 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6438 loss: 0.6438 2022/08/05 19:27:52 - mmengine - INFO - Epoch(train) [252][1260/1879] lr: 1.0000e-04 eta: 0:58:46 time: 0.4313 data_time: 0.0146 memory: 17087 grad_norm: 7.3750 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8070 loss: 0.8070 2022/08/05 19:28:01 - mmengine - INFO - Epoch(train) [252][1280/1879] lr: 1.0000e-04 eta: 0:58:38 time: 0.4453 data_time: 0.0163 memory: 17087 grad_norm: 6.7822 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7592 loss: 0.7592 2022/08/05 19:28:09 - mmengine - INFO - Epoch(train) [252][1300/1879] lr: 1.0000e-04 eta: 0:58:29 time: 0.4311 data_time: 0.0164 memory: 17087 grad_norm: 7.2632 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7863 loss: 0.7863 2022/08/05 19:28:18 - mmengine - INFO - Epoch(train) [252][1320/1879] lr: 1.0000e-04 eta: 0:58:20 time: 0.4309 data_time: 0.0160 memory: 17087 grad_norm: 7.2572 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8467 loss: 0.8467 2022/08/05 19:28:27 - mmengine - INFO - Epoch(train) [252][1340/1879] lr: 1.0000e-04 eta: 0:58:12 time: 0.4467 data_time: 0.0180 memory: 17087 grad_norm: 7.2763 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7725 loss: 0.7725 2022/08/05 19:28:36 - mmengine - INFO - Epoch(train) [252][1360/1879] lr: 1.0000e-04 eta: 0:58:03 time: 0.4393 data_time: 0.0162 memory: 17087 grad_norm: 7.3271 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8630 loss: 0.8630 2022/08/05 19:28:41 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 19:28:45 - mmengine - INFO - Epoch(train) [252][1380/1879] lr: 1.0000e-04 eta: 0:57:54 time: 0.4337 data_time: 0.0169 memory: 17087 grad_norm: 7.2573 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7203 loss: 0.7203 2022/08/05 19:28:53 - mmengine - INFO - Epoch(train) [252][1400/1879] lr: 1.0000e-04 eta: 0:57:46 time: 0.4385 data_time: 0.0195 memory: 17087 grad_norm: 7.0928 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8208 loss: 0.8208 2022/08/05 19:29:02 - mmengine - INFO - Epoch(train) [252][1420/1879] lr: 1.0000e-04 eta: 0:57:37 time: 0.4387 data_time: 0.0165 memory: 17087 grad_norm: 7.4065 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 1.1139 loss: 1.1139 2022/08/05 19:29:11 - mmengine - INFO - Epoch(train) [252][1440/1879] lr: 1.0000e-04 eta: 0:57:28 time: 0.4567 data_time: 0.0172 memory: 17087 grad_norm: 7.2507 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8032 loss: 0.8032 2022/08/05 19:29:20 - mmengine - INFO - Epoch(train) [252][1460/1879] lr: 1.0000e-04 eta: 0:57:20 time: 0.4361 data_time: 0.0184 memory: 17087 grad_norm: 7.4266 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7186 loss: 0.7186 2022/08/05 19:29:29 - mmengine - INFO - Epoch(train) [252][1480/1879] lr: 1.0000e-04 eta: 0:57:11 time: 0.4391 data_time: 0.0167 memory: 17087 grad_norm: 7.0985 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8642 loss: 0.8642 2022/08/05 19:29:38 - mmengine - INFO - Epoch(train) [252][1500/1879] lr: 1.0000e-04 eta: 0:57:02 time: 0.4377 data_time: 0.0151 memory: 17087 grad_norm: 7.4272 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8587 loss: 0.8587 2022/08/05 19:29:46 - mmengine - INFO - Epoch(train) [252][1520/1879] lr: 1.0000e-04 eta: 0:56:54 time: 0.4374 data_time: 0.0154 memory: 17087 grad_norm: 7.1341 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8777 loss: 0.8777 2022/08/05 19:29:55 - mmengine - INFO - Epoch(train) [252][1540/1879] lr: 1.0000e-04 eta: 0:56:45 time: 0.4363 data_time: 0.0184 memory: 17087 grad_norm: 7.0173 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.9074 loss: 0.9074 2022/08/05 19:30:04 - mmengine - INFO - Epoch(train) [252][1560/1879] lr: 1.0000e-04 eta: 0:56:36 time: 0.4412 data_time: 0.0170 memory: 17087 grad_norm: 7.2826 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8626 loss: 0.8626 2022/08/05 19:30:13 - mmengine - INFO - Epoch(train) [252][1580/1879] lr: 1.0000e-04 eta: 0:56:28 time: 0.4503 data_time: 0.0168 memory: 17087 grad_norm: 7.4453 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9465 loss: 0.9465 2022/08/05 19:30:22 - mmengine - INFO - Epoch(train) [252][1600/1879] lr: 1.0000e-04 eta: 0:56:19 time: 0.4400 data_time: 0.0164 memory: 17087 grad_norm: 7.0802 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9121 loss: 0.9121 2022/08/05 19:30:31 - mmengine - INFO - Epoch(train) [252][1620/1879] lr: 1.0000e-04 eta: 0:56:10 time: 0.4391 data_time: 0.0166 memory: 17087 grad_norm: 7.1686 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.9062 loss: 0.9062 2022/08/05 19:30:39 - mmengine - INFO - Epoch(train) [252][1640/1879] lr: 1.0000e-04 eta: 0:56:02 time: 0.4345 data_time: 0.0167 memory: 17087 grad_norm: 7.3751 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8002 loss: 0.8002 2022/08/05 19:30:48 - mmengine - INFO - Epoch(train) [252][1660/1879] lr: 1.0000e-04 eta: 0:55:53 time: 0.4303 data_time: 0.0171 memory: 17087 grad_norm: 7.2261 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7308 loss: 0.7308 2022/08/05 19:30:57 - mmengine - INFO - Epoch(train) [252][1680/1879] lr: 1.0000e-04 eta: 0:55:44 time: 0.4366 data_time: 0.0180 memory: 17087 grad_norm: 7.1740 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8527 loss: 0.8527 2022/08/05 19:31:05 - mmengine - INFO - Epoch(train) [252][1700/1879] lr: 1.0000e-04 eta: 0:55:36 time: 0.4307 data_time: 0.0165 memory: 17087 grad_norm: 7.1431 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8379 loss: 0.8379 2022/08/05 19:31:15 - mmengine - INFO - Epoch(train) [252][1720/1879] lr: 1.0000e-04 eta: 0:55:27 time: 0.4645 data_time: 0.0186 memory: 17087 grad_norm: 7.0845 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7673 loss: 0.7673 2022/08/05 19:31:23 - mmengine - INFO - Epoch(train) [252][1740/1879] lr: 1.0000e-04 eta: 0:55:18 time: 0.4335 data_time: 0.0160 memory: 17087 grad_norm: 6.9983 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8005 loss: 0.8005 2022/08/05 19:31:32 - mmengine - INFO - Epoch(train) [252][1760/1879] lr: 1.0000e-04 eta: 0:55:10 time: 0.4384 data_time: 0.0169 memory: 17087 grad_norm: 7.3586 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8594 loss: 0.8594 2022/08/05 19:31:41 - mmengine - INFO - Epoch(train) [252][1780/1879] lr: 1.0000e-04 eta: 0:55:01 time: 0.4317 data_time: 0.0156 memory: 17087 grad_norm: 7.3263 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8365 loss: 0.8365 2022/08/05 19:31:50 - mmengine - INFO - Epoch(train) [252][1800/1879] lr: 1.0000e-04 eta: 0:54:52 time: 0.4333 data_time: 0.0164 memory: 17087 grad_norm: 7.1845 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7119 loss: 0.7119 2022/08/05 19:31:59 - mmengine - INFO - Epoch(train) [252][1820/1879] lr: 1.0000e-04 eta: 0:54:44 time: 0.4767 data_time: 0.0197 memory: 17087 grad_norm: 7.3198 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7231 loss: 0.7231 2022/08/05 19:32:08 - mmengine - INFO - Epoch(train) [252][1840/1879] lr: 1.0000e-04 eta: 0:54:35 time: 0.4333 data_time: 0.0173 memory: 17087 grad_norm: 7.4964 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8812 loss: 0.8812 2022/08/05 19:32:16 - mmengine - INFO - Epoch(train) [252][1860/1879] lr: 1.0000e-04 eta: 0:54:26 time: 0.4353 data_time: 0.0196 memory: 17087 grad_norm: 7.2487 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7709 loss: 0.7709 2022/08/05 19:32:24 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 19:32:24 - mmengine - INFO - Epoch(train) [252][1879/1879] lr: 1.0000e-04 eta: 0:54:26 time: 0.4119 data_time: 0.0148 memory: 17087 grad_norm: 7.7039 top1_acc: 0.8571 top5_acc: 1.0000 loss_cls: 0.8037 loss: 0.8037 2022/08/05 19:32:24 - mmengine - INFO - Saving checkpoint at 252 epochs 2022/08/05 19:32:39 - mmengine - INFO - Epoch(train) [253][20/1879] lr: 1.0000e-04 eta: 0:54:09 time: 0.5180 data_time: 0.1006 memory: 17087 grad_norm: 7.4305 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.7903 loss: 0.7903 2022/08/05 19:32:48 - mmengine - INFO - Epoch(train) [253][40/1879] lr: 1.0000e-04 eta: 0:54:01 time: 0.4696 data_time: 0.0255 memory: 17087 grad_norm: 7.2633 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.9596 loss: 0.9596 2022/08/05 19:32:57 - mmengine - INFO - Epoch(train) [253][60/1879] lr: 1.0000e-04 eta: 0:53:52 time: 0.4337 data_time: 0.0181 memory: 17087 grad_norm: 7.3219 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9328 loss: 0.9328 2022/08/05 19:33:06 - mmengine - INFO - Epoch(train) [253][80/1879] lr: 1.0000e-04 eta: 0:53:43 time: 0.4421 data_time: 0.0192 memory: 17087 grad_norm: 7.1781 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6281 loss: 0.6281 2022/08/05 19:33:15 - mmengine - INFO - Epoch(train) [253][100/1879] lr: 1.0000e-04 eta: 0:53:34 time: 0.4395 data_time: 0.0164 memory: 17087 grad_norm: 7.5665 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8583 loss: 0.8583 2022/08/05 19:33:23 - mmengine - INFO - Epoch(train) [253][120/1879] lr: 1.0000e-04 eta: 0:53:26 time: 0.4307 data_time: 0.0162 memory: 17087 grad_norm: 7.0922 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7176 loss: 0.7176 2022/08/05 19:33:33 - mmengine - INFO - Epoch(train) [253][140/1879] lr: 1.0000e-04 eta: 0:53:17 time: 0.4765 data_time: 0.0170 memory: 17087 grad_norm: 7.1128 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8205 loss: 0.8205 2022/08/05 19:33:42 - mmengine - INFO - Epoch(train) [253][160/1879] lr: 1.0000e-04 eta: 0:53:09 time: 0.4365 data_time: 0.0166 memory: 17087 grad_norm: 7.3841 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8578 loss: 0.8578 2022/08/05 19:33:50 - mmengine - INFO - Epoch(train) [253][180/1879] lr: 1.0000e-04 eta: 0:53:00 time: 0.4307 data_time: 0.0161 memory: 17087 grad_norm: 7.1889 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 1.0043 loss: 1.0043 2022/08/05 19:34:00 - mmengine - INFO - Epoch(train) [253][200/1879] lr: 1.0000e-04 eta: 0:52:51 time: 0.4681 data_time: 0.0176 memory: 17087 grad_norm: 7.1712 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7593 loss: 0.7593 2022/08/05 19:34:08 - mmengine - INFO - Epoch(train) [253][220/1879] lr: 1.0000e-04 eta: 0:52:42 time: 0.4307 data_time: 0.0163 memory: 17087 grad_norm: 6.6271 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7946 loss: 0.7946 2022/08/05 19:34:18 - mmengine - INFO - Epoch(train) [253][240/1879] lr: 1.0000e-04 eta: 0:52:34 time: 0.4646 data_time: 0.0198 memory: 17087 grad_norm: 7.5382 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7737 loss: 0.7737 2022/08/05 19:34:26 - mmengine - INFO - Epoch(train) [253][260/1879] lr: 1.0000e-04 eta: 0:52:25 time: 0.4317 data_time: 0.0147 memory: 17087 grad_norm: 7.0643 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8687 loss: 0.8687 2022/08/05 19:34:35 - mmengine - INFO - Epoch(train) [253][280/1879] lr: 1.0000e-04 eta: 0:52:16 time: 0.4347 data_time: 0.0179 memory: 17087 grad_norm: 7.2463 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6649 loss: 0.6649 2022/08/05 19:34:44 - mmengine - INFO - Epoch(train) [253][300/1879] lr: 1.0000e-04 eta: 0:52:08 time: 0.4319 data_time: 0.0150 memory: 17087 grad_norm: 7.3790 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.9818 loss: 0.9818 2022/08/05 19:34:53 - mmengine - INFO - Epoch(train) [253][320/1879] lr: 1.0000e-04 eta: 0:51:59 time: 0.4627 data_time: 0.0196 memory: 17087 grad_norm: 7.2371 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8390 loss: 0.8390 2022/08/05 19:35:01 - mmengine - INFO - Epoch(train) [253][340/1879] lr: 1.0000e-04 eta: 0:51:50 time: 0.4304 data_time: 0.0141 memory: 17087 grad_norm: 7.0872 top1_acc: 0.5625 top5_acc: 1.0000 loss_cls: 0.6541 loss: 0.6541 2022/08/05 19:35:10 - mmengine - INFO - Epoch(train) [253][360/1879] lr: 1.0000e-04 eta: 0:51:42 time: 0.4331 data_time: 0.0180 memory: 17087 grad_norm: 7.1155 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7964 loss: 0.7964 2022/08/05 19:35:19 - mmengine - INFO - Epoch(train) [253][380/1879] lr: 1.0000e-04 eta: 0:51:33 time: 0.4653 data_time: 0.0144 memory: 17087 grad_norm: 7.3228 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8138 loss: 0.8138 2022/08/05 19:35:28 - mmengine - INFO - Epoch(train) [253][400/1879] lr: 1.0000e-04 eta: 0:51:24 time: 0.4379 data_time: 0.0167 memory: 17087 grad_norm: 7.2605 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.6725 loss: 0.6725 2022/08/05 19:35:37 - mmengine - INFO - Epoch(train) [253][420/1879] lr: 1.0000e-04 eta: 0:51:16 time: 0.4563 data_time: 0.0162 memory: 17087 grad_norm: 7.2011 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7895 loss: 0.7895 2022/08/05 19:35:46 - mmengine - INFO - Epoch(train) [253][440/1879] lr: 1.0000e-04 eta: 0:51:07 time: 0.4352 data_time: 0.0186 memory: 17087 grad_norm: 7.1333 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8595 loss: 0.8595 2022/08/05 19:35:55 - mmengine - INFO - Epoch(train) [253][460/1879] lr: 1.0000e-04 eta: 0:50:58 time: 0.4405 data_time: 0.0146 memory: 17087 grad_norm: 7.3545 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8780 loss: 0.8780 2022/08/05 19:36:04 - mmengine - INFO - Epoch(train) [253][480/1879] lr: 1.0000e-04 eta: 0:50:50 time: 0.4318 data_time: 0.0171 memory: 17087 grad_norm: 7.2397 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8529 loss: 0.8529 2022/08/05 19:36:09 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 19:36:13 - mmengine - INFO - Epoch(train) [253][500/1879] lr: 1.0000e-04 eta: 0:50:41 time: 0.4596 data_time: 0.0153 memory: 17087 grad_norm: 7.3440 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8475 loss: 0.8475 2022/08/05 19:36:22 - mmengine - INFO - Epoch(train) [253][520/1879] lr: 1.0000e-04 eta: 0:50:32 time: 0.4327 data_time: 0.0180 memory: 17087 grad_norm: 7.0486 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8775 loss: 0.8775 2022/08/05 19:36:30 - mmengine - INFO - Epoch(train) [253][540/1879] lr: 1.0000e-04 eta: 0:50:24 time: 0.4294 data_time: 0.0152 memory: 17087 grad_norm: 7.1667 top1_acc: 0.5625 top5_acc: 0.6875 loss_cls: 0.9782 loss: 0.9782 2022/08/05 19:36:39 - mmengine - INFO - Epoch(train) [253][560/1879] lr: 1.0000e-04 eta: 0:50:15 time: 0.4524 data_time: 0.0176 memory: 17087 grad_norm: 7.3882 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8583 loss: 0.8583 2022/08/05 19:36:48 - mmengine - INFO - Epoch(train) [253][580/1879] lr: 1.0000e-04 eta: 0:50:06 time: 0.4337 data_time: 0.0163 memory: 17087 grad_norm: 7.3087 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9778 loss: 0.9778 2022/08/05 19:36:57 - mmengine - INFO - Epoch(train) [253][600/1879] lr: 1.0000e-04 eta: 0:49:58 time: 0.4333 data_time: 0.0158 memory: 17087 grad_norm: 7.3474 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9561 loss: 0.9561 2022/08/05 19:37:06 - mmengine - INFO - Epoch(train) [253][620/1879] lr: 1.0000e-04 eta: 0:49:49 time: 0.4654 data_time: 0.0225 memory: 17087 grad_norm: 7.1132 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9352 loss: 0.9352 2022/08/05 19:37:15 - mmengine - INFO - Epoch(train) [253][640/1879] lr: 1.0000e-04 eta: 0:49:40 time: 0.4363 data_time: 0.0181 memory: 17087 grad_norm: 7.4791 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9418 loss: 0.9418 2022/08/05 19:37:24 - mmengine - INFO - Epoch(train) [253][660/1879] lr: 1.0000e-04 eta: 0:49:32 time: 0.4599 data_time: 0.0148 memory: 17087 grad_norm: 7.1816 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7173 loss: 0.7173 2022/08/05 19:37:33 - mmengine - INFO - Epoch(train) [253][680/1879] lr: 1.0000e-04 eta: 0:49:23 time: 0.4389 data_time: 0.0214 memory: 17087 grad_norm: 6.8919 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7753 loss: 0.7753 2022/08/05 19:37:42 - mmengine - INFO - Epoch(train) [253][700/1879] lr: 1.0000e-04 eta: 0:49:14 time: 0.4443 data_time: 0.0168 memory: 17087 grad_norm: 7.5246 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8909 loss: 0.8909 2022/08/05 19:37:50 - mmengine - INFO - Epoch(train) [253][720/1879] lr: 1.0000e-04 eta: 0:49:06 time: 0.4339 data_time: 0.0168 memory: 17087 grad_norm: 7.2112 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7499 loss: 0.7499 2022/08/05 19:37:59 - mmengine - INFO - Epoch(train) [253][740/1879] lr: 1.0000e-04 eta: 0:48:57 time: 0.4343 data_time: 0.0151 memory: 17087 grad_norm: 7.1370 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6956 loss: 0.6956 2022/08/05 19:38:08 - mmengine - INFO - Epoch(train) [253][760/1879] lr: 1.0000e-04 eta: 0:48:48 time: 0.4600 data_time: 0.0172 memory: 17087 grad_norm: 7.1781 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7743 loss: 0.7743 2022/08/05 19:38:17 - mmengine - INFO - Epoch(train) [253][780/1879] lr: 1.0000e-04 eta: 0:48:40 time: 0.4383 data_time: 0.0201 memory: 17087 grad_norm: 7.2650 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8133 loss: 0.8133 2022/08/05 19:38:26 - mmengine - INFO - Epoch(train) [253][800/1879] lr: 1.0000e-04 eta: 0:48:31 time: 0.4389 data_time: 0.0171 memory: 17087 grad_norm: 7.0997 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8255 loss: 0.8255 2022/08/05 19:38:35 - mmengine - INFO - Epoch(train) [253][820/1879] lr: 1.0000e-04 eta: 0:48:22 time: 0.4404 data_time: 0.0168 memory: 17087 grad_norm: 7.0879 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7137 loss: 0.7137 2022/08/05 19:38:43 - mmengine - INFO - Epoch(train) [253][840/1879] lr: 1.0000e-04 eta: 0:48:14 time: 0.4363 data_time: 0.0179 memory: 17087 grad_norm: 7.2491 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8021 loss: 0.8021 2022/08/05 19:38:52 - mmengine - INFO - Epoch(train) [253][860/1879] lr: 1.0000e-04 eta: 0:48:05 time: 0.4309 data_time: 0.0152 memory: 17087 grad_norm: 7.2111 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7066 loss: 0.7066 2022/08/05 19:39:01 - mmengine - INFO - Epoch(train) [253][880/1879] lr: 1.0000e-04 eta: 0:47:56 time: 0.4317 data_time: 0.0175 memory: 17087 grad_norm: 7.4349 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8380 loss: 0.8380 2022/08/05 19:39:10 - mmengine - INFO - Epoch(train) [253][900/1879] lr: 1.0000e-04 eta: 0:47:48 time: 0.4448 data_time: 0.0165 memory: 17087 grad_norm: 7.3593 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9447 loss: 0.9447 2022/08/05 19:39:18 - mmengine - INFO - Epoch(train) [253][920/1879] lr: 1.0000e-04 eta: 0:47:39 time: 0.4321 data_time: 0.0167 memory: 17087 grad_norm: 7.0275 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7105 loss: 0.7105 2022/08/05 19:39:27 - mmengine - INFO - Epoch(train) [253][940/1879] lr: 1.0000e-04 eta: 0:47:30 time: 0.4477 data_time: 0.0235 memory: 17087 grad_norm: 7.0434 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9310 loss: 0.9310 2022/08/05 19:39:36 - mmengine - INFO - Epoch(train) [253][960/1879] lr: 1.0000e-04 eta: 0:47:22 time: 0.4318 data_time: 0.0172 memory: 17087 grad_norm: 6.9141 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6731 loss: 0.6731 2022/08/05 19:39:45 - mmengine - INFO - Epoch(train) [253][980/1879] lr: 1.0000e-04 eta: 0:47:13 time: 0.4738 data_time: 0.0175 memory: 17087 grad_norm: 7.1992 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7806 loss: 0.7806 2022/08/05 19:39:54 - mmengine - INFO - Epoch(train) [253][1000/1879] lr: 1.0000e-04 eta: 0:47:04 time: 0.4341 data_time: 0.0164 memory: 17087 grad_norm: 7.0486 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8055 loss: 0.8055 2022/08/05 19:40:04 - mmengine - INFO - Epoch(train) [253][1020/1879] lr: 1.0000e-04 eta: 0:46:56 time: 0.4694 data_time: 0.0214 memory: 17087 grad_norm: 7.2024 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8568 loss: 0.8568 2022/08/05 19:40:12 - mmengine - INFO - Epoch(train) [253][1040/1879] lr: 1.0000e-04 eta: 0:46:47 time: 0.4327 data_time: 0.0167 memory: 17087 grad_norm: 7.3292 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8751 loss: 0.8751 2022/08/05 19:40:21 - mmengine - INFO - Epoch(train) [253][1060/1879] lr: 1.0000e-04 eta: 0:46:38 time: 0.4417 data_time: 0.0191 memory: 17087 grad_norm: 7.3076 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7598 loss: 0.7598 2022/08/05 19:40:30 - mmengine - INFO - Epoch(train) [253][1080/1879] lr: 1.0000e-04 eta: 0:46:30 time: 0.4536 data_time: 0.0171 memory: 17087 grad_norm: 7.4882 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8671 loss: 0.8671 2022/08/05 19:40:39 - mmengine - INFO - Epoch(train) [253][1100/1879] lr: 1.0000e-04 eta: 0:46:21 time: 0.4324 data_time: 0.0160 memory: 17087 grad_norm: 7.3379 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8364 loss: 0.8364 2022/08/05 19:40:48 - mmengine - INFO - Epoch(train) [253][1120/1879] lr: 1.0000e-04 eta: 0:46:12 time: 0.4475 data_time: 0.0263 memory: 17087 grad_norm: 7.0712 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8812 loss: 0.8812 2022/08/05 19:40:57 - mmengine - INFO - Epoch(train) [253][1140/1879] lr: 1.0000e-04 eta: 0:46:04 time: 0.4323 data_time: 0.0178 memory: 17087 grad_norm: 6.8429 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7840 loss: 0.7840 2022/08/05 19:41:06 - mmengine - INFO - Epoch(train) [253][1160/1879] lr: 1.0000e-04 eta: 0:45:55 time: 0.4716 data_time: 0.0177 memory: 17087 grad_norm: 7.1475 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7388 loss: 0.7388 2022/08/05 19:41:15 - mmengine - INFO - Epoch(train) [253][1180/1879] lr: 1.0000e-04 eta: 0:45:46 time: 0.4310 data_time: 0.0159 memory: 17087 grad_norm: 7.1957 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9284 loss: 0.9284 2022/08/05 19:41:24 - mmengine - INFO - Epoch(train) [253][1200/1879] lr: 1.0000e-04 eta: 0:45:38 time: 0.4513 data_time: 0.0230 memory: 17087 grad_norm: 7.2735 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.9517 loss: 0.9517 2022/08/05 19:41:32 - mmengine - INFO - Epoch(train) [253][1220/1879] lr: 1.0000e-04 eta: 0:45:29 time: 0.4330 data_time: 0.0155 memory: 17087 grad_norm: 7.1105 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8033 loss: 0.8033 2022/08/05 19:41:41 - mmengine - INFO - Epoch(train) [253][1240/1879] lr: 1.0000e-04 eta: 0:45:20 time: 0.4331 data_time: 0.0163 memory: 17087 grad_norm: 7.2050 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8022 loss: 0.8022 2022/08/05 19:41:50 - mmengine - INFO - Epoch(train) [253][1260/1879] lr: 1.0000e-04 eta: 0:45:12 time: 0.4376 data_time: 0.0209 memory: 17087 grad_norm: 7.3450 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8604 loss: 0.8604 2022/08/05 19:41:59 - mmengine - INFO - Epoch(train) [253][1280/1879] lr: 1.0000e-04 eta: 0:45:03 time: 0.4362 data_time: 0.0166 memory: 17087 grad_norm: 7.1655 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7912 loss: 0.7912 2022/08/05 19:42:08 - mmengine - INFO - Epoch(train) [253][1300/1879] lr: 1.0000e-04 eta: 0:44:54 time: 0.4568 data_time: 0.0162 memory: 17087 grad_norm: 7.2320 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7881 loss: 0.7881 2022/08/05 19:42:16 - mmengine - INFO - Epoch(train) [253][1320/1879] lr: 1.0000e-04 eta: 0:44:46 time: 0.4319 data_time: 0.0172 memory: 17087 grad_norm: 7.3902 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7605 loss: 0.7605 2022/08/05 19:42:26 - mmengine - INFO - Epoch(train) [253][1340/1879] lr: 1.0000e-04 eta: 0:44:37 time: 0.4706 data_time: 0.0179 memory: 17087 grad_norm: 7.1678 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7665 loss: 0.7665 2022/08/05 19:42:34 - mmengine - INFO - Epoch(train) [253][1360/1879] lr: 1.0000e-04 eta: 0:44:28 time: 0.4326 data_time: 0.0166 memory: 17087 grad_norm: 7.2506 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8037 loss: 0.8037 2022/08/05 19:42:43 - mmengine - INFO - Epoch(train) [253][1380/1879] lr: 1.0000e-04 eta: 0:44:20 time: 0.4421 data_time: 0.0158 memory: 17087 grad_norm: 7.3112 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7362 loss: 0.7362 2022/08/05 19:42:52 - mmengine - INFO - Epoch(train) [253][1400/1879] lr: 1.0000e-04 eta: 0:44:11 time: 0.4419 data_time: 0.0186 memory: 17087 grad_norm: 7.2275 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.7097 loss: 0.7097 2022/08/05 19:43:01 - mmengine - INFO - Epoch(train) [253][1420/1879] lr: 1.0000e-04 eta: 0:44:02 time: 0.4304 data_time: 0.0153 memory: 17087 grad_norm: 7.2002 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7634 loss: 0.7634 2022/08/05 19:43:10 - mmengine - INFO - Epoch(train) [253][1440/1879] lr: 1.0000e-04 eta: 0:43:54 time: 0.4504 data_time: 0.0161 memory: 17087 grad_norm: 7.0658 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8291 loss: 0.8291 2022/08/05 19:43:19 - mmengine - INFO - Epoch(train) [253][1460/1879] lr: 1.0000e-04 eta: 0:43:45 time: 0.4370 data_time: 0.0185 memory: 17087 grad_norm: 7.2778 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8265 loss: 0.8265 2022/08/05 19:43:28 - mmengine - INFO - Epoch(train) [253][1480/1879] lr: 1.0000e-04 eta: 0:43:36 time: 0.4430 data_time: 0.0249 memory: 17087 grad_norm: 6.9217 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6826 loss: 0.6826 2022/08/05 19:43:33 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 19:43:36 - mmengine - INFO - Epoch(train) [253][1500/1879] lr: 1.0000e-04 eta: 0:43:28 time: 0.4359 data_time: 0.0169 memory: 17087 grad_norm: 7.1914 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8195 loss: 0.8195 2022/08/05 19:43:45 - mmengine - INFO - Epoch(train) [253][1520/1879] lr: 1.0000e-04 eta: 0:43:19 time: 0.4347 data_time: 0.0158 memory: 17087 grad_norm: 7.2510 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9047 loss: 0.9047 2022/08/05 19:43:54 - mmengine - INFO - Epoch(train) [253][1540/1879] lr: 1.0000e-04 eta: 0:43:10 time: 0.4343 data_time: 0.0171 memory: 17087 grad_norm: 7.1090 top1_acc: 0.5000 top5_acc: 0.7500 loss_cls: 0.9222 loss: 0.9222 2022/08/05 19:44:03 - mmengine - INFO - Epoch(train) [253][1560/1879] lr: 1.0000e-04 eta: 0:43:02 time: 0.4394 data_time: 0.0160 memory: 17087 grad_norm: 6.8726 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6777 loss: 0.6777 2022/08/05 19:44:11 - mmengine - INFO - Epoch(train) [253][1580/1879] lr: 1.0000e-04 eta: 0:42:53 time: 0.4317 data_time: 0.0153 memory: 17087 grad_norm: 7.2838 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6791 loss: 0.6791 2022/08/05 19:44:20 - mmengine - INFO - Epoch(train) [253][1600/1879] lr: 1.0000e-04 eta: 0:42:44 time: 0.4330 data_time: 0.0176 memory: 17087 grad_norm: 7.1356 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8411 loss: 0.8411 2022/08/05 19:44:29 - mmengine - INFO - Epoch(train) [253][1620/1879] lr: 1.0000e-04 eta: 0:42:36 time: 0.4419 data_time: 0.0171 memory: 17087 grad_norm: 7.2977 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8540 loss: 0.8540 2022/08/05 19:44:38 - mmengine - INFO - Epoch(train) [253][1640/1879] lr: 1.0000e-04 eta: 0:42:27 time: 0.4396 data_time: 0.0192 memory: 17087 grad_norm: 7.3036 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.7351 loss: 0.7351 2022/08/05 19:44:46 - mmengine - INFO - Epoch(train) [253][1660/1879] lr: 1.0000e-04 eta: 0:42:18 time: 0.4469 data_time: 0.0165 memory: 17087 grad_norm: 6.9734 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7769 loss: 0.7769 2022/08/05 19:44:55 - mmengine - INFO - Epoch(train) [253][1680/1879] lr: 1.0000e-04 eta: 0:42:10 time: 0.4319 data_time: 0.0174 memory: 17087 grad_norm: 7.2087 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8261 loss: 0.8261 2022/08/05 19:45:04 - mmengine - INFO - Epoch(train) [253][1700/1879] lr: 1.0000e-04 eta: 0:42:01 time: 0.4485 data_time: 0.0164 memory: 17087 grad_norm: 7.0080 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7106 loss: 0.7106 2022/08/05 19:45:13 - mmengine - INFO - Epoch(train) [253][1720/1879] lr: 1.0000e-04 eta: 0:41:52 time: 0.4387 data_time: 0.0175 memory: 17087 grad_norm: 7.3871 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7388 loss: 0.7388 2022/08/05 19:45:22 - mmengine - INFO - Epoch(train) [253][1740/1879] lr: 1.0000e-04 eta: 0:41:44 time: 0.4325 data_time: 0.0161 memory: 17087 grad_norm: 7.1560 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6700 loss: 0.6700 2022/08/05 19:45:30 - mmengine - INFO - Epoch(train) [253][1760/1879] lr: 1.0000e-04 eta: 0:41:35 time: 0.4419 data_time: 0.0164 memory: 17087 grad_norm: 7.5043 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8180 loss: 0.8180 2022/08/05 19:45:39 - mmengine - INFO - Epoch(train) [253][1780/1879] lr: 1.0000e-04 eta: 0:41:26 time: 0.4351 data_time: 0.0165 memory: 17087 grad_norm: 7.0007 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6578 loss: 0.6578 2022/08/05 19:45:48 - mmengine - INFO - Epoch(train) [253][1800/1879] lr: 1.0000e-04 eta: 0:41:18 time: 0.4357 data_time: 0.0179 memory: 17087 grad_norm: 7.5058 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7991 loss: 0.7991 2022/08/05 19:45:57 - mmengine - INFO - Epoch(train) [253][1820/1879] lr: 1.0000e-04 eta: 0:41:09 time: 0.4322 data_time: 0.0182 memory: 17087 grad_norm: 7.1490 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8613 loss: 0.8613 2022/08/05 19:46:06 - mmengine - INFO - Epoch(train) [253][1840/1879] lr: 1.0000e-04 eta: 0:41:00 time: 0.4683 data_time: 0.0162 memory: 17087 grad_norm: 7.3508 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8216 loss: 0.8216 2022/08/05 19:46:15 - mmengine - INFO - Epoch(train) [253][1860/1879] lr: 1.0000e-04 eta: 0:40:52 time: 0.4310 data_time: 0.0154 memory: 17087 grad_norm: 7.2431 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7961 loss: 0.7961 2022/08/05 19:46:23 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 19:46:23 - mmengine - INFO - Epoch(train) [253][1879/1879] lr: 1.0000e-04 eta: 0:40:52 time: 0.4497 data_time: 0.0143 memory: 17087 grad_norm: 7.4380 top1_acc: 0.4286 top5_acc: 1.0000 loss_cls: 0.7687 loss: 0.7687 2022/08/05 19:46:35 - mmengine - INFO - Epoch(train) [254][20/1879] lr: 1.0000e-04 eta: 0:40:35 time: 0.5751 data_time: 0.1252 memory: 17087 grad_norm: 7.0348 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6942 loss: 0.6942 2022/08/05 19:46:44 - mmengine - INFO - Epoch(train) [254][40/1879] lr: 1.0000e-04 eta: 0:40:26 time: 0.4367 data_time: 0.0190 memory: 17087 grad_norm: 7.3181 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7493 loss: 0.7493 2022/08/05 19:46:52 - mmengine - INFO - Epoch(train) [254][60/1879] lr: 1.0000e-04 eta: 0:40:17 time: 0.4324 data_time: 0.0169 memory: 17087 grad_norm: 7.0765 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7174 loss: 0.7174 2022/08/05 19:47:01 - mmengine - INFO - Epoch(train) [254][80/1879] lr: 1.0000e-04 eta: 0:40:09 time: 0.4302 data_time: 0.0164 memory: 17087 grad_norm: 7.0771 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.7979 loss: 0.7979 2022/08/05 19:47:10 - mmengine - INFO - Epoch(train) [254][100/1879] lr: 1.0000e-04 eta: 0:40:00 time: 0.4325 data_time: 0.0166 memory: 17087 grad_norm: 7.2391 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9912 loss: 0.9912 2022/08/05 19:47:18 - mmengine - INFO - Epoch(train) [254][120/1879] lr: 1.0000e-04 eta: 0:39:51 time: 0.4327 data_time: 0.0166 memory: 17087 grad_norm: 7.2392 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9241 loss: 0.9241 2022/08/05 19:47:27 - mmengine - INFO - Epoch(train) [254][140/1879] lr: 1.0000e-04 eta: 0:39:43 time: 0.4565 data_time: 0.0174 memory: 17087 grad_norm: 7.0680 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6357 loss: 0.6357 2022/08/05 19:47:36 - mmengine - INFO - Epoch(train) [254][160/1879] lr: 1.0000e-04 eta: 0:39:34 time: 0.4318 data_time: 0.0165 memory: 17087 grad_norm: 7.0677 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.8442 loss: 0.8442 2022/08/05 19:47:45 - mmengine - INFO - Epoch(train) [254][180/1879] lr: 1.0000e-04 eta: 0:39:25 time: 0.4565 data_time: 0.0166 memory: 17087 grad_norm: 7.3732 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7706 loss: 0.7706 2022/08/05 19:47:54 - mmengine - INFO - Epoch(train) [254][200/1879] lr: 1.0000e-04 eta: 0:39:17 time: 0.4328 data_time: 0.0170 memory: 17087 grad_norm: 7.1404 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9522 loss: 0.9522 2022/08/05 19:48:03 - mmengine - INFO - Epoch(train) [254][220/1879] lr: 1.0000e-04 eta: 0:39:08 time: 0.4394 data_time: 0.0195 memory: 17087 grad_norm: 7.2420 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8064 loss: 0.8064 2022/08/05 19:48:11 - mmengine - INFO - Epoch(train) [254][240/1879] lr: 1.0000e-04 eta: 0:38:59 time: 0.4297 data_time: 0.0159 memory: 17087 grad_norm: 7.2277 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7922 loss: 0.7922 2022/08/05 19:48:20 - mmengine - INFO - Epoch(train) [254][260/1879] lr: 1.0000e-04 eta: 0:38:51 time: 0.4327 data_time: 0.0149 memory: 17087 grad_norm: 7.4180 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8331 loss: 0.8331 2022/08/05 19:48:29 - mmengine - INFO - Epoch(train) [254][280/1879] lr: 1.0000e-04 eta: 0:38:42 time: 0.4433 data_time: 0.0191 memory: 17087 grad_norm: 6.9107 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6869 loss: 0.6869 2022/08/05 19:48:38 - mmengine - INFO - Epoch(train) [254][300/1879] lr: 1.0000e-04 eta: 0:38:33 time: 0.4316 data_time: 0.0158 memory: 17087 grad_norm: 7.3625 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8055 loss: 0.8055 2022/08/05 19:48:46 - mmengine - INFO - Epoch(train) [254][320/1879] lr: 1.0000e-04 eta: 0:38:25 time: 0.4350 data_time: 0.0167 memory: 17087 grad_norm: 7.0480 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8572 loss: 0.8572 2022/08/05 19:48:55 - mmengine - INFO - Epoch(train) [254][340/1879] lr: 1.0000e-04 eta: 0:38:16 time: 0.4328 data_time: 0.0164 memory: 17087 grad_norm: 7.0563 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7321 loss: 0.7321 2022/08/05 19:49:04 - mmengine - INFO - Epoch(train) [254][360/1879] lr: 1.0000e-04 eta: 0:38:07 time: 0.4593 data_time: 0.0171 memory: 17087 grad_norm: 7.2678 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7981 loss: 0.7981 2022/08/05 19:49:13 - mmengine - INFO - Epoch(train) [254][380/1879] lr: 1.0000e-04 eta: 0:37:59 time: 0.4334 data_time: 0.0163 memory: 17087 grad_norm: 7.0757 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8787 loss: 0.8787 2022/08/05 19:49:22 - mmengine - INFO - Epoch(train) [254][400/1879] lr: 1.0000e-04 eta: 0:37:50 time: 0.4323 data_time: 0.0163 memory: 17087 grad_norm: 7.4310 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7689 loss: 0.7689 2022/08/05 19:49:30 - mmengine - INFO - Epoch(train) [254][420/1879] lr: 1.0000e-04 eta: 0:37:41 time: 0.4337 data_time: 0.0170 memory: 17087 grad_norm: 7.1191 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9600 loss: 0.9600 2022/08/05 19:49:39 - mmengine - INFO - Epoch(train) [254][440/1879] lr: 1.0000e-04 eta: 0:37:33 time: 0.4334 data_time: 0.0169 memory: 17087 grad_norm: 7.4481 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7572 loss: 0.7572 2022/08/05 19:49:48 - mmengine - INFO - Epoch(train) [254][460/1879] lr: 1.0000e-04 eta: 0:37:24 time: 0.4684 data_time: 0.0172 memory: 17087 grad_norm: 7.5296 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9359 loss: 0.9359 2022/08/05 19:49:57 - mmengine - INFO - Epoch(train) [254][480/1879] lr: 1.0000e-04 eta: 0:37:15 time: 0.4336 data_time: 0.0172 memory: 17087 grad_norm: 7.1447 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8294 loss: 0.8294 2022/08/05 19:50:06 - mmengine - INFO - Epoch(train) [254][500/1879] lr: 1.0000e-04 eta: 0:37:07 time: 0.4597 data_time: 0.0169 memory: 17087 grad_norm: 7.1581 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7764 loss: 0.7764 2022/08/05 19:50:15 - mmengine - INFO - Epoch(train) [254][520/1879] lr: 1.0000e-04 eta: 0:36:58 time: 0.4348 data_time: 0.0178 memory: 17087 grad_norm: 6.9863 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8252 loss: 0.8252 2022/08/05 19:50:24 - mmengine - INFO - Epoch(train) [254][540/1879] lr: 1.0000e-04 eta: 0:36:49 time: 0.4387 data_time: 0.0165 memory: 17087 grad_norm: 6.9422 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8269 loss: 0.8269 2022/08/05 19:50:32 - mmengine - INFO - Epoch(train) [254][560/1879] lr: 1.0000e-04 eta: 0:36:41 time: 0.4354 data_time: 0.0168 memory: 17087 grad_norm: 7.2509 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7384 loss: 0.7384 2022/08/05 19:50:41 - mmengine - INFO - Epoch(train) [254][580/1879] lr: 1.0000e-04 eta: 0:36:32 time: 0.4316 data_time: 0.0145 memory: 17087 grad_norm: 7.0151 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7506 loss: 0.7506 2022/08/05 19:50:50 - mmengine - INFO - Epoch(train) [254][600/1879] lr: 1.0000e-04 eta: 0:36:23 time: 0.4424 data_time: 0.0183 memory: 17087 grad_norm: 7.1990 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7557 loss: 0.7557 2022/08/05 19:50:56 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 19:50:59 - mmengine - INFO - Epoch(train) [254][620/1879] lr: 1.0000e-04 eta: 0:36:15 time: 0.4316 data_time: 0.0153 memory: 17087 grad_norm: 7.1916 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8602 loss: 0.8602 2022/08/05 19:51:07 - mmengine - INFO - Epoch(train) [254][640/1879] lr: 1.0000e-04 eta: 0:36:06 time: 0.4384 data_time: 0.0171 memory: 17087 grad_norm: 7.2831 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8151 loss: 0.8151 2022/08/05 19:51:16 - mmengine - INFO - Epoch(train) [254][660/1879] lr: 1.0000e-04 eta: 0:35:57 time: 0.4352 data_time: 0.0200 memory: 17087 grad_norm: 7.3776 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7838 loss: 0.7838 2022/08/05 19:51:25 - mmengine - INFO - Epoch(train) [254][680/1879] lr: 1.0000e-04 eta: 0:35:49 time: 0.4331 data_time: 0.0156 memory: 17087 grad_norm: 7.0514 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8415 loss: 0.8415 2022/08/05 19:51:34 - mmengine - INFO - Epoch(train) [254][700/1879] lr: 1.0000e-04 eta: 0:35:40 time: 0.4586 data_time: 0.0188 memory: 17087 grad_norm: 7.0843 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6634 loss: 0.6634 2022/08/05 19:51:43 - mmengine - INFO - Epoch(train) [254][720/1879] lr: 1.0000e-04 eta: 0:35:31 time: 0.4363 data_time: 0.0193 memory: 17087 grad_norm: 7.5823 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9123 loss: 0.9123 2022/08/05 19:51:52 - mmengine - INFO - Epoch(train) [254][740/1879] lr: 1.0000e-04 eta: 0:35:23 time: 0.4378 data_time: 0.0163 memory: 17087 grad_norm: 7.2749 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.6518 loss: 0.6518 2022/08/05 19:52:00 - mmengine - INFO - Epoch(train) [254][760/1879] lr: 1.0000e-04 eta: 0:35:14 time: 0.4321 data_time: 0.0162 memory: 17087 grad_norm: 7.2856 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9482 loss: 0.9482 2022/08/05 19:52:09 - mmengine - INFO - Epoch(train) [254][780/1879] lr: 1.0000e-04 eta: 0:35:05 time: 0.4370 data_time: 0.0148 memory: 17087 grad_norm: 6.9708 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7314 loss: 0.7314 2022/08/05 19:52:18 - mmengine - INFO - Epoch(train) [254][800/1879] lr: 1.0000e-04 eta: 0:34:57 time: 0.4316 data_time: 0.0164 memory: 17087 grad_norm: 7.0693 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8653 loss: 0.8653 2022/08/05 19:52:26 - mmengine - INFO - Epoch(train) [254][820/1879] lr: 1.0000e-04 eta: 0:34:48 time: 0.4388 data_time: 0.0171 memory: 17087 grad_norm: 6.9504 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.8967 loss: 0.8967 2022/08/05 19:52:35 - mmengine - INFO - Epoch(train) [254][840/1879] lr: 1.0000e-04 eta: 0:34:39 time: 0.4327 data_time: 0.0163 memory: 17087 grad_norm: 7.2904 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8659 loss: 0.8659 2022/08/05 19:52:44 - mmengine - INFO - Epoch(train) [254][860/1879] lr: 1.0000e-04 eta: 0:34:31 time: 0.4409 data_time: 0.0177 memory: 17087 grad_norm: 7.3839 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.9014 loss: 0.9014 2022/08/05 19:52:53 - mmengine - INFO - Epoch(train) [254][880/1879] lr: 1.0000e-04 eta: 0:34:22 time: 0.4314 data_time: 0.0157 memory: 17087 grad_norm: 7.1067 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7622 loss: 0.7622 2022/08/05 19:53:01 - mmengine - INFO - Epoch(train) [254][900/1879] lr: 1.0000e-04 eta: 0:34:13 time: 0.4300 data_time: 0.0145 memory: 17087 grad_norm: 7.4073 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.9504 loss: 0.9504 2022/08/05 19:53:11 - mmengine - INFO - Epoch(train) [254][920/1879] lr: 1.0000e-04 eta: 0:34:05 time: 0.4732 data_time: 0.0179 memory: 17087 grad_norm: 7.3499 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7593 loss: 0.7593 2022/08/05 19:53:19 - mmengine - INFO - Epoch(train) [254][940/1879] lr: 1.0000e-04 eta: 0:33:56 time: 0.4326 data_time: 0.0155 memory: 17087 grad_norm: 7.1901 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7222 loss: 0.7222 2022/08/05 19:53:29 - mmengine - INFO - Epoch(train) [254][960/1879] lr: 1.0000e-04 eta: 0:33:47 time: 0.4729 data_time: 0.0165 memory: 17087 grad_norm: 7.4942 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8634 loss: 0.8634 2022/08/05 19:53:38 - mmengine - INFO - Epoch(train) [254][980/1879] lr: 1.0000e-04 eta: 0:33:39 time: 0.4327 data_time: 0.0159 memory: 17087 grad_norm: 7.3311 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8347 loss: 0.8347 2022/08/05 19:53:47 - mmengine - INFO - Epoch(train) [254][1000/1879] lr: 1.0000e-04 eta: 0:33:30 time: 0.4581 data_time: 0.0155 memory: 17087 grad_norm: 7.3735 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7560 loss: 0.7560 2022/08/05 19:53:55 - mmengine - INFO - Epoch(train) [254][1020/1879] lr: 1.0000e-04 eta: 0:33:21 time: 0.4323 data_time: 0.0153 memory: 17087 grad_norm: 7.1166 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.6339 loss: 0.6339 2022/08/05 19:54:04 - mmengine - INFO - Epoch(train) [254][1040/1879] lr: 1.0000e-04 eta: 0:33:13 time: 0.4386 data_time: 0.0181 memory: 17087 grad_norm: 7.0811 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6718 loss: 0.6718 2022/08/05 19:54:13 - mmengine - INFO - Epoch(train) [254][1060/1879] lr: 1.0000e-04 eta: 0:33:04 time: 0.4327 data_time: 0.0187 memory: 17087 grad_norm: 7.0828 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7698 loss: 0.7698 2022/08/05 19:54:22 - mmengine - INFO - Epoch(train) [254][1080/1879] lr: 1.0000e-04 eta: 0:32:55 time: 0.4329 data_time: 0.0158 memory: 17087 grad_norm: 7.5005 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8351 loss: 0.8351 2022/08/05 19:54:30 - mmengine - INFO - Epoch(train) [254][1100/1879] lr: 1.0000e-04 eta: 0:32:47 time: 0.4409 data_time: 0.0167 memory: 17087 grad_norm: 7.3611 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8091 loss: 0.8091 2022/08/05 19:54:39 - mmengine - INFO - Epoch(train) [254][1120/1879] lr: 1.0000e-04 eta: 0:32:38 time: 0.4326 data_time: 0.0165 memory: 17087 grad_norm: 7.2064 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8942 loss: 0.8942 2022/08/05 19:54:49 - mmengine - INFO - Epoch(train) [254][1140/1879] lr: 1.0000e-04 eta: 0:32:29 time: 0.4766 data_time: 0.0178 memory: 17087 grad_norm: 7.1205 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8332 loss: 0.8332 2022/08/05 19:54:57 - mmengine - INFO - Epoch(train) [254][1160/1879] lr: 1.0000e-04 eta: 0:32:21 time: 0.4325 data_time: 0.0170 memory: 17087 grad_norm: 7.3850 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7383 loss: 0.7383 2022/08/05 19:55:06 - mmengine - INFO - Epoch(train) [254][1180/1879] lr: 1.0000e-04 eta: 0:32:12 time: 0.4466 data_time: 0.0185 memory: 17087 grad_norm: 7.0392 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8784 loss: 0.8784 2022/08/05 19:55:15 - mmengine - INFO - Epoch(train) [254][1200/1879] lr: 1.0000e-04 eta: 0:32:03 time: 0.4328 data_time: 0.0164 memory: 17087 grad_norm: 7.1812 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7319 loss: 0.7319 2022/08/05 19:55:24 - mmengine - INFO - Epoch(train) [254][1220/1879] lr: 1.0000e-04 eta: 0:31:55 time: 0.4480 data_time: 0.0186 memory: 17087 grad_norm: 7.4540 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7179 loss: 0.7179 2022/08/05 19:55:33 - mmengine - INFO - Epoch(train) [254][1240/1879] lr: 1.0000e-04 eta: 0:31:46 time: 0.4367 data_time: 0.0179 memory: 17087 grad_norm: 7.1760 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.8215 loss: 0.8215 2022/08/05 19:55:41 - mmengine - INFO - Epoch(train) [254][1260/1879] lr: 1.0000e-04 eta: 0:31:37 time: 0.4301 data_time: 0.0149 memory: 17087 grad_norm: 6.9329 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6629 loss: 0.6629 2022/08/05 19:55:51 - mmengine - INFO - Epoch(train) [254][1280/1879] lr: 1.0000e-04 eta: 0:31:29 time: 0.4698 data_time: 0.0193 memory: 17087 grad_norm: 7.3468 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8283 loss: 0.8283 2022/08/05 19:56:00 - mmengine - INFO - Epoch(train) [254][1300/1879] lr: 1.0000e-04 eta: 0:31:20 time: 0.4386 data_time: 0.0177 memory: 17087 grad_norm: 7.2759 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6845 loss: 0.6845 2022/08/05 19:56:09 - mmengine - INFO - Epoch(train) [254][1320/1879] lr: 1.0000e-04 eta: 0:31:11 time: 0.4528 data_time: 0.0172 memory: 17087 grad_norm: 7.1763 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8469 loss: 0.8469 2022/08/05 19:56:17 - mmengine - INFO - Epoch(train) [254][1340/1879] lr: 1.0000e-04 eta: 0:31:03 time: 0.4315 data_time: 0.0152 memory: 17087 grad_norm: 7.1232 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7708 loss: 0.7708 2022/08/05 19:56:26 - mmengine - INFO - Epoch(train) [254][1360/1879] lr: 1.0000e-04 eta: 0:30:54 time: 0.4480 data_time: 0.0163 memory: 17087 grad_norm: 7.4852 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 1.0131 loss: 1.0131 2022/08/05 19:56:35 - mmengine - INFO - Epoch(train) [254][1380/1879] lr: 1.0000e-04 eta: 0:30:45 time: 0.4306 data_time: 0.0153 memory: 17087 grad_norm: 7.2483 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8112 loss: 0.8112 2022/08/05 19:56:44 - mmengine - INFO - Epoch(train) [254][1400/1879] lr: 1.0000e-04 eta: 0:30:36 time: 0.4472 data_time: 0.0174 memory: 17087 grad_norm: 7.5151 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8144 loss: 0.8144 2022/08/05 19:56:53 - mmengine - INFO - Epoch(train) [254][1420/1879] lr: 1.0000e-04 eta: 0:30:28 time: 0.4316 data_time: 0.0154 memory: 17087 grad_norm: 7.1634 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6453 loss: 0.6453 2022/08/05 19:57:01 - mmengine - INFO - Epoch(train) [254][1440/1879] lr: 1.0000e-04 eta: 0:30:19 time: 0.4324 data_time: 0.0159 memory: 17087 grad_norm: 7.3245 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8517 loss: 0.8517 2022/08/05 19:57:10 - mmengine - INFO - Epoch(train) [254][1460/1879] lr: 1.0000e-04 eta: 0:30:10 time: 0.4484 data_time: 0.0163 memory: 17087 grad_norm: 7.1917 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7010 loss: 0.7010 2022/08/05 19:57:19 - mmengine - INFO - Epoch(train) [254][1480/1879] lr: 1.0000e-04 eta: 0:30:02 time: 0.4321 data_time: 0.0161 memory: 17087 grad_norm: 7.3898 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8191 loss: 0.8191 2022/08/05 19:57:28 - mmengine - INFO - Epoch(train) [254][1500/1879] lr: 1.0000e-04 eta: 0:29:53 time: 0.4406 data_time: 0.0177 memory: 17087 grad_norm: 7.0586 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7978 loss: 0.7978 2022/08/05 19:57:36 - mmengine - INFO - Epoch(train) [254][1520/1879] lr: 1.0000e-04 eta: 0:29:44 time: 0.4348 data_time: 0.0174 memory: 17087 grad_norm: 7.4293 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6956 loss: 0.6956 2022/08/05 19:57:45 - mmengine - INFO - Epoch(train) [254][1540/1879] lr: 1.0000e-04 eta: 0:29:36 time: 0.4452 data_time: 0.0157 memory: 17087 grad_norm: 7.3672 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7813 loss: 0.7813 2022/08/05 19:57:54 - mmengine - INFO - Epoch(train) [254][1560/1879] lr: 1.0000e-04 eta: 0:29:27 time: 0.4319 data_time: 0.0177 memory: 17087 grad_norm: 7.2061 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7603 loss: 0.7603 2022/08/05 19:58:03 - mmengine - INFO - Epoch(train) [254][1580/1879] lr: 1.0000e-04 eta: 0:29:18 time: 0.4384 data_time: 0.0152 memory: 17087 grad_norm: 7.0980 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.9535 loss: 0.9535 2022/08/05 19:58:12 - mmengine - INFO - Epoch(train) [254][1600/1879] lr: 1.0000e-04 eta: 0:29:10 time: 0.4594 data_time: 0.0192 memory: 17087 grad_norm: 7.2018 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8942 loss: 0.8942 2022/08/05 19:58:18 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 19:58:21 - mmengine - INFO - Epoch(train) [254][1620/1879] lr: 1.0000e-04 eta: 0:29:01 time: 0.4316 data_time: 0.0155 memory: 17087 grad_norm: 7.4118 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7426 loss: 0.7426 2022/08/05 19:58:30 - mmengine - INFO - Epoch(train) [254][1640/1879] lr: 1.0000e-04 eta: 0:28:52 time: 0.4404 data_time: 0.0173 memory: 17087 grad_norm: 7.1440 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7891 loss: 0.7891 2022/08/05 19:58:38 - mmengine - INFO - Epoch(train) [254][1660/1879] lr: 1.0000e-04 eta: 0:28:44 time: 0.4335 data_time: 0.0170 memory: 17087 grad_norm: 7.2493 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7708 loss: 0.7708 2022/08/05 19:58:48 - mmengine - INFO - Epoch(train) [254][1680/1879] lr: 1.0000e-04 eta: 0:28:35 time: 0.4627 data_time: 0.0166 memory: 17087 grad_norm: 7.4043 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7868 loss: 0.7868 2022/08/05 19:58:56 - mmengine - INFO - Epoch(train) [254][1700/1879] lr: 1.0000e-04 eta: 0:28:26 time: 0.4315 data_time: 0.0168 memory: 17087 grad_norm: 7.7657 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8893 loss: 0.8893 2022/08/05 19:59:05 - mmengine - INFO - Epoch(train) [254][1720/1879] lr: 1.0000e-04 eta: 0:28:18 time: 0.4399 data_time: 0.0170 memory: 17087 grad_norm: 7.1176 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8705 loss: 0.8705 2022/08/05 19:59:14 - mmengine - INFO - Epoch(train) [254][1740/1879] lr: 1.0000e-04 eta: 0:28:09 time: 0.4341 data_time: 0.0177 memory: 17087 grad_norm: 7.0713 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8184 loss: 0.8184 2022/08/05 19:59:22 - mmengine - INFO - Epoch(train) [254][1760/1879] lr: 1.0000e-04 eta: 0:28:00 time: 0.4292 data_time: 0.0154 memory: 17087 grad_norm: 7.3729 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8032 loss: 0.8032 2022/08/05 19:59:31 - mmengine - INFO - Epoch(train) [254][1780/1879] lr: 1.0000e-04 eta: 0:27:52 time: 0.4557 data_time: 0.0289 memory: 17087 grad_norm: 7.3107 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7890 loss: 0.7890 2022/08/05 19:59:40 - mmengine - INFO - Epoch(train) [254][1800/1879] lr: 1.0000e-04 eta: 0:27:43 time: 0.4336 data_time: 0.0176 memory: 17087 grad_norm: 7.2706 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6944 loss: 0.6944 2022/08/05 19:59:49 - mmengine - INFO - Epoch(train) [254][1820/1879] lr: 1.0000e-04 eta: 0:27:34 time: 0.4596 data_time: 0.0166 memory: 17087 grad_norm: 7.1847 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.6800 loss: 0.6800 2022/08/05 19:59:58 - mmengine - INFO - Epoch(train) [254][1840/1879] lr: 1.0000e-04 eta: 0:27:26 time: 0.4343 data_time: 0.0180 memory: 17087 grad_norm: 7.1280 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8765 loss: 0.8765 2022/08/05 20:00:08 - mmengine - INFO - Epoch(train) [254][1860/1879] lr: 1.0000e-04 eta: 0:27:17 time: 0.4783 data_time: 0.0175 memory: 17087 grad_norm: 7.2669 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7514 loss: 0.7514 2022/08/05 20:00:16 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 20:00:16 - mmengine - INFO - Epoch(train) [254][1879/1879] lr: 1.0000e-04 eta: 0:27:17 time: 0.4161 data_time: 0.0155 memory: 17087 grad_norm: 7.6703 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6982 loss: 0.6982 2022/08/05 20:00:27 - mmengine - INFO - Epoch(train) [255][20/1879] lr: 1.0000e-04 eta: 0:27:00 time: 0.5777 data_time: 0.1331 memory: 17087 grad_norm: 7.0924 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8305 loss: 0.8305 2022/08/05 20:00:36 - mmengine - INFO - Epoch(train) [255][40/1879] lr: 1.0000e-04 eta: 0:26:51 time: 0.4601 data_time: 0.0185 memory: 17087 grad_norm: 7.5010 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7857 loss: 0.7857 2022/08/05 20:00:45 - mmengine - INFO - Epoch(train) [255][60/1879] lr: 1.0000e-04 eta: 0:26:43 time: 0.4300 data_time: 0.0141 memory: 17087 grad_norm: 7.4989 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7638 loss: 0.7638 2022/08/05 20:00:55 - mmengine - INFO - Epoch(train) [255][80/1879] lr: 1.0000e-04 eta: 0:26:34 time: 0.4685 data_time: 0.0242 memory: 17087 grad_norm: 7.2942 top1_acc: 0.5625 top5_acc: 0.9375 loss_cls: 1.0089 loss: 1.0089 2022/08/05 20:01:03 - mmengine - INFO - Epoch(train) [255][100/1879] lr: 1.0000e-04 eta: 0:26:25 time: 0.4310 data_time: 0.0144 memory: 17087 grad_norm: 6.8632 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8888 loss: 0.8888 2022/08/05 20:01:12 - mmengine - INFO - Epoch(train) [255][120/1879] lr: 1.0000e-04 eta: 0:26:17 time: 0.4345 data_time: 0.0207 memory: 17087 grad_norm: 7.4775 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6610 loss: 0.6610 2022/08/05 20:01:21 - mmengine - INFO - Epoch(train) [255][140/1879] lr: 1.0000e-04 eta: 0:26:08 time: 0.4732 data_time: 0.0168 memory: 17087 grad_norm: 7.1568 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7791 loss: 0.7791 2022/08/05 20:01:30 - mmengine - INFO - Epoch(train) [255][160/1879] lr: 1.0000e-04 eta: 0:25:59 time: 0.4332 data_time: 0.0175 memory: 17087 grad_norm: 6.9516 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7642 loss: 0.7642 2022/08/05 20:01:39 - mmengine - INFO - Epoch(train) [255][180/1879] lr: 1.0000e-04 eta: 0:25:51 time: 0.4486 data_time: 0.0206 memory: 17087 grad_norm: 7.2396 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.5909 loss: 0.5909 2022/08/05 20:01:48 - mmengine - INFO - Epoch(train) [255][200/1879] lr: 1.0000e-04 eta: 0:25:42 time: 0.4350 data_time: 0.0211 memory: 17087 grad_norm: 6.9521 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7888 loss: 0.7888 2022/08/05 20:01:57 - mmengine - INFO - Epoch(train) [255][220/1879] lr: 1.0000e-04 eta: 0:25:33 time: 0.4383 data_time: 0.0169 memory: 17087 grad_norm: 7.2816 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8825 loss: 0.8825 2022/08/05 20:02:05 - mmengine - INFO - Epoch(train) [255][240/1879] lr: 1.0000e-04 eta: 0:25:25 time: 0.4368 data_time: 0.0198 memory: 17087 grad_norm: 7.2683 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8102 loss: 0.8102 2022/08/05 20:02:15 - mmengine - INFO - Epoch(train) [255][260/1879] lr: 1.0000e-04 eta: 0:25:16 time: 0.4754 data_time: 0.0177 memory: 17087 grad_norm: 7.1134 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8375 loss: 0.8375 2022/08/05 20:02:24 - mmengine - INFO - Epoch(train) [255][280/1879] lr: 1.0000e-04 eta: 0:25:07 time: 0.4313 data_time: 0.0155 memory: 17087 grad_norm: 7.1436 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.6937 loss: 0.6937 2022/08/05 20:02:32 - mmengine - INFO - Epoch(train) [255][300/1879] lr: 1.0000e-04 eta: 0:24:59 time: 0.4365 data_time: 0.0221 memory: 17087 grad_norm: 7.2653 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.5915 loss: 0.5915 2022/08/05 20:02:42 - mmengine - INFO - Epoch(train) [255][320/1879] lr: 1.0000e-04 eta: 0:24:50 time: 0.4709 data_time: 0.0196 memory: 17087 grad_norm: 7.0723 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8570 loss: 0.8570 2022/08/05 20:02:50 - mmengine - INFO - Epoch(train) [255][340/1879] lr: 1.0000e-04 eta: 0:24:41 time: 0.4311 data_time: 0.0155 memory: 17087 grad_norm: 7.0552 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7578 loss: 0.7578 2022/08/05 20:03:00 - mmengine - INFO - Epoch(train) [255][360/1879] lr: 1.0000e-04 eta: 0:24:33 time: 0.4660 data_time: 0.0166 memory: 17087 grad_norm: 7.1034 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7555 loss: 0.7555 2022/08/05 20:03:08 - mmengine - INFO - Epoch(train) [255][380/1879] lr: 1.0000e-04 eta: 0:24:24 time: 0.4333 data_time: 0.0151 memory: 17087 grad_norm: 6.9126 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7581 loss: 0.7581 2022/08/05 20:03:17 - mmengine - INFO - Epoch(train) [255][400/1879] lr: 1.0000e-04 eta: 0:24:15 time: 0.4325 data_time: 0.0168 memory: 17087 grad_norm: 7.2532 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.9109 loss: 0.9109 2022/08/05 20:03:26 - mmengine - INFO - Epoch(train) [255][420/1879] lr: 1.0000e-04 eta: 0:24:07 time: 0.4456 data_time: 0.0206 memory: 17087 grad_norm: 7.1080 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8392 loss: 0.8392 2022/08/05 20:03:35 - mmengine - INFO - Epoch(train) [255][440/1879] lr: 1.0000e-04 eta: 0:23:58 time: 0.4316 data_time: 0.0162 memory: 17087 grad_norm: 7.2276 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7055 loss: 0.7055 2022/08/05 20:03:43 - mmengine - INFO - Epoch(train) [255][460/1879] lr: 1.0000e-04 eta: 0:23:49 time: 0.4366 data_time: 0.0151 memory: 17087 grad_norm: 7.4433 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.9378 loss: 0.9378 2022/08/05 20:03:53 - mmengine - INFO - Epoch(train) [255][480/1879] lr: 1.0000e-04 eta: 0:23:41 time: 0.4590 data_time: 0.0183 memory: 17087 grad_norm: 7.3307 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8217 loss: 0.8217 2022/08/05 20:04:01 - mmengine - INFO - Epoch(train) [255][500/1879] lr: 1.0000e-04 eta: 0:23:32 time: 0.4383 data_time: 0.0163 memory: 17087 grad_norm: 7.2138 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8578 loss: 0.8578 2022/08/05 20:04:10 - mmengine - INFO - Epoch(train) [255][520/1879] lr: 1.0000e-04 eta: 0:23:23 time: 0.4318 data_time: 0.0156 memory: 17087 grad_norm: 7.2722 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7577 loss: 0.7577 2022/08/05 20:04:19 - mmengine - INFO - Epoch(train) [255][540/1879] lr: 1.0000e-04 eta: 0:23:15 time: 0.4571 data_time: 0.0163 memory: 17087 grad_norm: 7.2114 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7983 loss: 0.7983 2022/08/05 20:04:28 - mmengine - INFO - Epoch(train) [255][560/1879] lr: 1.0000e-04 eta: 0:23:06 time: 0.4322 data_time: 0.0166 memory: 17087 grad_norm: 7.6402 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9785 loss: 0.9785 2022/08/05 20:04:37 - mmengine - INFO - Epoch(train) [255][580/1879] lr: 1.0000e-04 eta: 0:22:57 time: 0.4417 data_time: 0.0158 memory: 17087 grad_norm: 7.3642 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8874 loss: 0.8874 2022/08/05 20:04:45 - mmengine - INFO - Epoch(train) [255][600/1879] lr: 1.0000e-04 eta: 0:22:49 time: 0.4335 data_time: 0.0183 memory: 17087 grad_norm: 7.1535 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7146 loss: 0.7146 2022/08/05 20:04:55 - mmengine - INFO - Epoch(train) [255][620/1879] lr: 1.0000e-04 eta: 0:22:40 time: 0.4621 data_time: 0.0156 memory: 17087 grad_norm: 7.5328 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8406 loss: 0.8406 2022/08/05 20:05:03 - mmengine - INFO - Epoch(train) [255][640/1879] lr: 1.0000e-04 eta: 0:22:31 time: 0.4326 data_time: 0.0167 memory: 17087 grad_norm: 7.3877 top1_acc: 0.5625 top5_acc: 0.7500 loss_cls: 0.8416 loss: 0.8416 2022/08/05 20:05:12 - mmengine - INFO - Epoch(train) [255][660/1879] lr: 1.0000e-04 eta: 0:22:23 time: 0.4325 data_time: 0.0178 memory: 17087 grad_norm: 7.4303 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8185 loss: 0.8185 2022/08/05 20:05:21 - mmengine - INFO - Epoch(train) [255][680/1879] lr: 1.0000e-04 eta: 0:22:14 time: 0.4556 data_time: 0.0184 memory: 17087 grad_norm: 7.1900 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7633 loss: 0.7633 2022/08/05 20:05:30 - mmengine - INFO - Epoch(train) [255][700/1879] lr: 1.0000e-04 eta: 0:22:05 time: 0.4318 data_time: 0.0179 memory: 17087 grad_norm: 7.1523 top1_acc: 0.6875 top5_acc: 1.0000 loss_cls: 0.7684 loss: 0.7684 2022/08/05 20:05:39 - mmengine - INFO - Epoch(train) [255][720/1879] lr: 1.0000e-04 eta: 0:21:57 time: 0.4462 data_time: 0.0158 memory: 17087 grad_norm: 7.3051 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.6418 loss: 0.6418 2022/08/05 20:05:45 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 20:05:47 - mmengine - INFO - Epoch(train) [255][740/1879] lr: 1.0000e-04 eta: 0:21:48 time: 0.4322 data_time: 0.0161 memory: 17087 grad_norm: 7.3907 top1_acc: 0.7500 top5_acc: 0.7500 loss_cls: 0.8761 loss: 0.8761 2022/08/05 20:05:56 - mmengine - INFO - Epoch(train) [255][760/1879] lr: 1.0000e-04 eta: 0:21:39 time: 0.4398 data_time: 0.0173 memory: 17087 grad_norm: 7.2759 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.7782 loss: 0.7782 2022/08/05 20:06:05 - mmengine - INFO - Epoch(train) [255][780/1879] lr: 1.0000e-04 eta: 0:21:31 time: 0.4338 data_time: 0.0146 memory: 17087 grad_norm: 7.3377 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7777 loss: 0.7777 2022/08/05 20:06:14 - mmengine - INFO - Epoch(train) [255][800/1879] lr: 1.0000e-04 eta: 0:21:22 time: 0.4337 data_time: 0.0180 memory: 17087 grad_norm: 7.2191 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7289 loss: 0.7289 2022/08/05 20:06:22 - mmengine - INFO - Epoch(train) [255][820/1879] lr: 1.0000e-04 eta: 0:21:13 time: 0.4310 data_time: 0.0148 memory: 17087 grad_norm: 7.4296 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6715 loss: 0.6715 2022/08/05 20:06:31 - mmengine - INFO - Epoch(train) [255][840/1879] lr: 1.0000e-04 eta: 0:21:05 time: 0.4324 data_time: 0.0175 memory: 17087 grad_norm: 7.0607 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8073 loss: 0.8073 2022/08/05 20:06:40 - mmengine - INFO - Epoch(train) [255][860/1879] lr: 1.0000e-04 eta: 0:20:56 time: 0.4321 data_time: 0.0167 memory: 17087 grad_norm: 7.2678 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7328 loss: 0.7328 2022/08/05 20:06:49 - mmengine - INFO - Epoch(train) [255][880/1879] lr: 1.0000e-04 eta: 0:20:47 time: 0.4433 data_time: 0.0247 memory: 17087 grad_norm: 7.2566 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7773 loss: 0.7773 2022/08/05 20:06:57 - mmengine - INFO - Epoch(train) [255][900/1879] lr: 1.0000e-04 eta: 0:20:39 time: 0.4307 data_time: 0.0142 memory: 17087 grad_norm: 7.1679 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9206 loss: 0.9206 2022/08/05 20:07:06 - mmengine - INFO - Epoch(train) [255][920/1879] lr: 1.0000e-04 eta: 0:20:30 time: 0.4352 data_time: 0.0190 memory: 17087 grad_norm: 7.1973 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8535 loss: 0.8535 2022/08/05 20:07:15 - mmengine - INFO - Epoch(train) [255][940/1879] lr: 1.0000e-04 eta: 0:20:21 time: 0.4291 data_time: 0.0144 memory: 17087 grad_norm: 7.3620 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7550 loss: 0.7550 2022/08/05 20:07:23 - mmengine - INFO - Epoch(train) [255][960/1879] lr: 1.0000e-04 eta: 0:20:13 time: 0.4362 data_time: 0.0207 memory: 17087 grad_norm: 7.3160 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8808 loss: 0.8808 2022/08/05 20:07:32 - mmengine - INFO - Epoch(train) [255][980/1879] lr: 1.0000e-04 eta: 0:20:04 time: 0.4407 data_time: 0.0163 memory: 17087 grad_norm: 7.3615 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7886 loss: 0.7886 2022/08/05 20:07:41 - mmengine - INFO - Epoch(train) [255][1000/1879] lr: 1.0000e-04 eta: 0:19:55 time: 0.4320 data_time: 0.0180 memory: 17087 grad_norm: 7.2754 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7759 loss: 0.7759 2022/08/05 20:07:50 - mmengine - INFO - Epoch(train) [255][1020/1879] lr: 1.0000e-04 eta: 0:19:47 time: 0.4585 data_time: 0.0152 memory: 17087 grad_norm: 7.0711 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8273 loss: 0.8273 2022/08/05 20:07:59 - mmengine - INFO - Epoch(train) [255][1040/1879] lr: 1.0000e-04 eta: 0:19:38 time: 0.4338 data_time: 0.0167 memory: 17087 grad_norm: 7.2639 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8205 loss: 0.8205 2022/08/05 20:08:08 - mmengine - INFO - Epoch(train) [255][1060/1879] lr: 1.0000e-04 eta: 0:19:29 time: 0.4683 data_time: 0.0195 memory: 17087 grad_norm: 7.0475 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9347 loss: 0.9347 2022/08/05 20:08:17 - mmengine - INFO - Epoch(train) [255][1080/1879] lr: 1.0000e-04 eta: 0:19:21 time: 0.4348 data_time: 0.0172 memory: 17087 grad_norm: 7.2495 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9305 loss: 0.9305 2022/08/05 20:08:26 - mmengine - INFO - Epoch(train) [255][1100/1879] lr: 1.0000e-04 eta: 0:19:12 time: 0.4606 data_time: 0.0148 memory: 17087 grad_norm: 7.4550 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8187 loss: 0.8187 2022/08/05 20:08:35 - mmengine - INFO - Epoch(train) [255][1120/1879] lr: 1.0000e-04 eta: 0:19:03 time: 0.4342 data_time: 0.0175 memory: 17087 grad_norm: 7.2486 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8834 loss: 0.8834 2022/08/05 20:08:43 - mmengine - INFO - Epoch(train) [255][1140/1879] lr: 1.0000e-04 eta: 0:18:55 time: 0.4299 data_time: 0.0140 memory: 17087 grad_norm: 7.0982 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7864 loss: 0.7864 2022/08/05 20:08:52 - mmengine - INFO - Epoch(train) [255][1160/1879] lr: 1.0000e-04 eta: 0:18:46 time: 0.4328 data_time: 0.0155 memory: 17087 grad_norm: 7.2718 top1_acc: 0.5625 top5_acc: 0.8125 loss_cls: 0.8070 loss: 0.8070 2022/08/05 20:09:01 - mmengine - INFO - Epoch(train) [255][1180/1879] lr: 1.0000e-04 eta: 0:18:37 time: 0.4407 data_time: 0.0185 memory: 17087 grad_norm: 7.5657 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8249 loss: 0.8249 2022/08/05 20:09:10 - mmengine - INFO - Epoch(train) [255][1200/1879] lr: 1.0000e-04 eta: 0:18:29 time: 0.4488 data_time: 0.0189 memory: 17087 grad_norm: 7.3082 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8761 loss: 0.8761 2022/08/05 20:09:19 - mmengine - INFO - Epoch(train) [255][1220/1879] lr: 1.0000e-04 eta: 0:18:20 time: 0.4377 data_time: 0.0151 memory: 17087 grad_norm: 7.0566 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6827 loss: 0.6827 2022/08/05 20:09:27 - mmengine - INFO - Epoch(train) [255][1240/1879] lr: 1.0000e-04 eta: 0:18:11 time: 0.4342 data_time: 0.0176 memory: 17087 grad_norm: 7.3452 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7711 loss: 0.7711 2022/08/05 20:09:37 - mmengine - INFO - Epoch(train) [255][1260/1879] lr: 1.0000e-04 eta: 0:18:03 time: 0.4581 data_time: 0.0158 memory: 17087 grad_norm: 7.7452 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7332 loss: 0.7332 2022/08/05 20:09:45 - mmengine - INFO - Epoch(train) [255][1280/1879] lr: 1.0000e-04 eta: 0:17:54 time: 0.4344 data_time: 0.0170 memory: 17087 grad_norm: 7.4724 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8781 loss: 0.8781 2022/08/05 20:09:54 - mmengine - INFO - Epoch(train) [255][1300/1879] lr: 1.0000e-04 eta: 0:17:45 time: 0.4323 data_time: 0.0152 memory: 17087 grad_norm: 7.0599 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7900 loss: 0.7900 2022/08/05 20:10:03 - mmengine - INFO - Epoch(train) [255][1320/1879] lr: 1.0000e-04 eta: 0:17:37 time: 0.4362 data_time: 0.0174 memory: 17087 grad_norm: 7.2503 top1_acc: 0.6250 top5_acc: 1.0000 loss_cls: 0.6919 loss: 0.6919 2022/08/05 20:10:11 - mmengine - INFO - Epoch(train) [255][1340/1879] lr: 1.0000e-04 eta: 0:17:28 time: 0.4310 data_time: 0.0149 memory: 17087 grad_norm: 7.1198 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7742 loss: 0.7742 2022/08/05 20:10:20 - mmengine - INFO - Epoch(train) [255][1360/1879] lr: 1.0000e-04 eta: 0:17:19 time: 0.4386 data_time: 0.0181 memory: 17087 grad_norm: 7.4165 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8163 loss: 0.8163 2022/08/05 20:10:29 - mmengine - INFO - Epoch(train) [255][1380/1879] lr: 1.0000e-04 eta: 0:17:11 time: 0.4317 data_time: 0.0149 memory: 17087 grad_norm: 7.2612 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6989 loss: 0.6989 2022/08/05 20:10:38 - mmengine - INFO - Epoch(train) [255][1400/1879] lr: 1.0000e-04 eta: 0:17:02 time: 0.4593 data_time: 0.0189 memory: 17087 grad_norm: 7.3491 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7935 loss: 0.7935 2022/08/05 20:10:47 - mmengine - INFO - Epoch(train) [255][1420/1879] lr: 1.0000e-04 eta: 0:16:53 time: 0.4298 data_time: 0.0167 memory: 17087 grad_norm: 7.2854 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.6687 loss: 0.6687 2022/08/05 20:10:55 - mmengine - INFO - Epoch(train) [255][1440/1879] lr: 1.0000e-04 eta: 0:16:45 time: 0.4361 data_time: 0.0185 memory: 17087 grad_norm: 7.1586 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7602 loss: 0.7602 2022/08/05 20:11:04 - mmengine - INFO - Epoch(train) [255][1460/1879] lr: 1.0000e-04 eta: 0:16:36 time: 0.4329 data_time: 0.0166 memory: 17087 grad_norm: 7.3593 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9132 loss: 0.9132 2022/08/05 20:11:13 - mmengine - INFO - Epoch(train) [255][1480/1879] lr: 1.0000e-04 eta: 0:16:27 time: 0.4335 data_time: 0.0174 memory: 17087 grad_norm: 7.4445 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.8045 loss: 0.8045 2022/08/05 20:11:21 - mmengine - INFO - Epoch(train) [255][1500/1879] lr: 1.0000e-04 eta: 0:16:19 time: 0.4315 data_time: 0.0141 memory: 17087 grad_norm: 7.1603 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7550 loss: 0.7550 2022/08/05 20:11:30 - mmengine - INFO - Epoch(train) [255][1520/1879] lr: 1.0000e-04 eta: 0:16:10 time: 0.4350 data_time: 0.0186 memory: 17087 grad_norm: 7.4005 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7732 loss: 0.7732 2022/08/05 20:11:39 - mmengine - INFO - Epoch(train) [255][1540/1879] lr: 1.0000e-04 eta: 0:16:01 time: 0.4569 data_time: 0.0142 memory: 17087 grad_norm: 7.0546 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.7870 loss: 0.7870 2022/08/05 20:11:48 - mmengine - INFO - Epoch(train) [255][1560/1879] lr: 1.0000e-04 eta: 0:15:53 time: 0.4368 data_time: 0.0184 memory: 17087 grad_norm: 7.2768 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.7096 loss: 0.7096 2022/08/05 20:11:57 - mmengine - INFO - Epoch(train) [255][1580/1879] lr: 1.0000e-04 eta: 0:15:44 time: 0.4313 data_time: 0.0150 memory: 17087 grad_norm: 7.1012 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7684 loss: 0.7684 2022/08/05 20:12:06 - mmengine - INFO - Epoch(train) [255][1600/1879] lr: 1.0000e-04 eta: 0:15:35 time: 0.4713 data_time: 0.0177 memory: 17087 grad_norm: 7.1530 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8088 loss: 0.8088 2022/08/05 20:12:15 - mmengine - INFO - Epoch(train) [255][1620/1879] lr: 1.0000e-04 eta: 0:15:26 time: 0.4309 data_time: 0.0182 memory: 17087 grad_norm: 7.5320 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7887 loss: 0.7887 2022/08/05 20:12:23 - mmengine - INFO - Epoch(train) [255][1640/1879] lr: 1.0000e-04 eta: 0:15:18 time: 0.4328 data_time: 0.0157 memory: 17087 grad_norm: 7.2616 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8118 loss: 0.8118 2022/08/05 20:12:33 - mmengine - INFO - Epoch(train) [255][1660/1879] lr: 1.0000e-04 eta: 0:15:09 time: 0.4516 data_time: 0.0168 memory: 17087 grad_norm: 7.1794 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7219 loss: 0.7219 2022/08/05 20:12:41 - mmengine - INFO - Epoch(train) [255][1680/1879] lr: 1.0000e-04 eta: 0:15:00 time: 0.4334 data_time: 0.0170 memory: 17087 grad_norm: 7.1891 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6987 loss: 0.6987 2022/08/05 20:12:50 - mmengine - INFO - Epoch(train) [255][1700/1879] lr: 1.0000e-04 eta: 0:14:52 time: 0.4316 data_time: 0.0164 memory: 17087 grad_norm: 6.9917 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7512 loss: 0.7512 2022/08/05 20:12:59 - mmengine - INFO - Epoch(train) [255][1720/1879] lr: 1.0000e-04 eta: 0:14:43 time: 0.4314 data_time: 0.0170 memory: 17087 grad_norm: 7.7191 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8517 loss: 0.8517 2022/08/05 20:13:05 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 20:13:08 - mmengine - INFO - Epoch(train) [255][1740/1879] lr: 1.0000e-04 eta: 0:14:34 time: 0.4503 data_time: 0.0154 memory: 17087 grad_norm: 7.1729 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.9275 loss: 0.9275 2022/08/05 20:13:16 - mmengine - INFO - Epoch(train) [255][1760/1879] lr: 1.0000e-04 eta: 0:14:26 time: 0.4325 data_time: 0.0165 memory: 17087 grad_norm: 7.4489 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8487 loss: 0.8487 2022/08/05 20:13:25 - mmengine - INFO - Epoch(train) [255][1780/1879] lr: 1.0000e-04 eta: 0:14:17 time: 0.4574 data_time: 0.0154 memory: 17087 grad_norm: 7.2980 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8596 loss: 0.8596 2022/08/05 20:13:34 - mmengine - INFO - Epoch(train) [255][1800/1879] lr: 1.0000e-04 eta: 0:14:08 time: 0.4312 data_time: 0.0162 memory: 17087 grad_norm: 7.1060 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7709 loss: 0.7709 2022/08/05 20:13:43 - mmengine - INFO - Epoch(train) [255][1820/1879] lr: 1.0000e-04 eta: 0:14:00 time: 0.4325 data_time: 0.0151 memory: 17087 grad_norm: 7.1996 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.6292 loss: 0.6292 2022/08/05 20:13:51 - mmengine - INFO - Epoch(train) [255][1840/1879] lr: 1.0000e-04 eta: 0:13:51 time: 0.4364 data_time: 0.0179 memory: 17087 grad_norm: 7.2522 top1_acc: 0.5000 top5_acc: 0.8125 loss_cls: 0.8723 loss: 0.8723 2022/08/05 20:14:00 - mmengine - INFO - Epoch(train) [255][1860/1879] lr: 1.0000e-04 eta: 0:13:42 time: 0.4326 data_time: 0.0163 memory: 17087 grad_norm: 7.4592 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8216 loss: 0.8216 2022/08/05 20:14:08 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 20:14:08 - mmengine - INFO - Epoch(train) [255][1879/1879] lr: 1.0000e-04 eta: 0:13:42 time: 0.4170 data_time: 0.0165 memory: 17087 grad_norm: 7.6859 top1_acc: 0.7143 top5_acc: 0.8571 loss_cls: 0.6927 loss: 0.6927 2022/08/05 20:14:16 - mmengine - INFO - Epoch(val) [255][20/155] eta: 0:00:52 time: 0.3875 data_time: 0.2174 memory: 2821 2022/08/05 20:14:21 - mmengine - INFO - Epoch(val) [255][40/155] eta: 0:00:29 time: 0.2562 data_time: 0.0873 memory: 2821 2022/08/05 20:14:27 - mmengine - INFO - Epoch(val) [255][60/155] eta: 0:00:29 time: 0.3105 data_time: 0.1270 memory: 2821 2022/08/05 20:14:33 - mmengine - INFO - Epoch(val) [255][80/155] eta: 0:00:20 time: 0.2784 data_time: 0.1103 memory: 2821 2022/08/05 20:14:39 - mmengine - INFO - Epoch(val) [255][100/155] eta: 0:00:17 time: 0.3161 data_time: 0.1507 memory: 2821 2022/08/05 20:14:44 - mmengine - INFO - Epoch(val) [255][120/155] eta: 0:00:09 time: 0.2608 data_time: 0.0935 memory: 2821 2022/08/05 20:14:51 - mmengine - INFO - Epoch(val) [255][140/155] eta: 0:00:04 time: 0.3248 data_time: 0.1560 memory: 2821 2022/08/05 20:14:56 - mmengine - INFO - Epoch(val) [255][155/155] acc/top1: 0.6955 acc/top5: 0.8802 acc/mean1: 0.6954 2022/08/05 20:15:08 - mmengine - INFO - Epoch(train) [256][20/1879] lr: 1.0000e-04 eta: 0:13:26 time: 0.5884 data_time: 0.1340 memory: 17087 grad_norm: 7.2697 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7398 loss: 0.7398 2022/08/05 20:15:17 - mmengine - INFO - Epoch(train) [256][40/1879] lr: 1.0000e-04 eta: 0:13:17 time: 0.4416 data_time: 0.0208 memory: 17087 grad_norm: 7.1146 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7619 loss: 0.7619 2022/08/05 20:15:25 - mmengine - INFO - Epoch(train) [256][60/1879] lr: 1.0000e-04 eta: 0:13:08 time: 0.4359 data_time: 0.0164 memory: 17087 grad_norm: 7.3623 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7652 loss: 0.7652 2022/08/05 20:15:34 - mmengine - INFO - Epoch(train) [256][80/1879] lr: 1.0000e-04 eta: 0:13:00 time: 0.4335 data_time: 0.0177 memory: 17087 grad_norm: 7.3783 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8248 loss: 0.8248 2022/08/05 20:15:43 - mmengine - INFO - Epoch(train) [256][100/1879] lr: 1.0000e-04 eta: 0:12:51 time: 0.4311 data_time: 0.0163 memory: 17087 grad_norm: 7.2505 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8257 loss: 0.8257 2022/08/05 20:15:51 - mmengine - INFO - Epoch(train) [256][120/1879] lr: 1.0000e-04 eta: 0:12:42 time: 0.4324 data_time: 0.0171 memory: 17087 grad_norm: 7.2952 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8762 loss: 0.8762 2022/08/05 20:16:01 - mmengine - INFO - Epoch(train) [256][140/1879] lr: 1.0000e-04 eta: 0:12:33 time: 0.4626 data_time: 0.0156 memory: 17087 grad_norm: 7.1084 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.8061 loss: 0.8061 2022/08/05 20:16:09 - mmengine - INFO - Epoch(train) [256][160/1879] lr: 1.0000e-04 eta: 0:12:25 time: 0.4354 data_time: 0.0168 memory: 17087 grad_norm: 7.2085 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8141 loss: 0.8141 2022/08/05 20:16:18 - mmengine - INFO - Epoch(train) [256][180/1879] lr: 1.0000e-04 eta: 0:12:16 time: 0.4335 data_time: 0.0174 memory: 17087 grad_norm: 7.2148 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7603 loss: 0.7603 2022/08/05 20:16:27 - mmengine - INFO - Epoch(train) [256][200/1879] lr: 1.0000e-04 eta: 0:12:07 time: 0.4339 data_time: 0.0180 memory: 17087 grad_norm: 7.4638 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7091 loss: 0.7091 2022/08/05 20:16:36 - mmengine - INFO - Epoch(train) [256][220/1879] lr: 1.0000e-04 eta: 0:11:59 time: 0.4353 data_time: 0.0145 memory: 17087 grad_norm: 7.3368 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.7676 loss: 0.7676 2022/08/05 20:16:44 - mmengine - INFO - Epoch(train) [256][240/1879] lr: 1.0000e-04 eta: 0:11:50 time: 0.4327 data_time: 0.0168 memory: 17087 grad_norm: 7.2003 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8228 loss: 0.8228 2022/08/05 20:16:53 - mmengine - INFO - Epoch(train) [256][260/1879] lr: 1.0000e-04 eta: 0:11:41 time: 0.4311 data_time: 0.0151 memory: 17087 grad_norm: 7.1294 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8100 loss: 0.8100 2022/08/05 20:17:02 - mmengine - INFO - Epoch(train) [256][280/1879] lr: 1.0000e-04 eta: 0:11:33 time: 0.4335 data_time: 0.0189 memory: 17087 grad_norm: 7.3618 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7460 loss: 0.7460 2022/08/05 20:17:10 - mmengine - INFO - Epoch(train) [256][300/1879] lr: 1.0000e-04 eta: 0:11:24 time: 0.4298 data_time: 0.0134 memory: 17087 grad_norm: 7.2871 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7583 loss: 0.7583 2022/08/05 20:17:19 - mmengine - INFO - Epoch(train) [256][320/1879] lr: 1.0000e-04 eta: 0:11:15 time: 0.4419 data_time: 0.0179 memory: 17087 grad_norm: 7.4302 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9906 loss: 0.9906 2022/08/05 20:17:28 - mmengine - INFO - Epoch(train) [256][340/1879] lr: 1.0000e-04 eta: 0:11:07 time: 0.4316 data_time: 0.0153 memory: 17087 grad_norm: 7.6702 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.9788 loss: 0.9788 2022/08/05 20:17:36 - mmengine - INFO - Epoch(train) [256][360/1879] lr: 1.0000e-04 eta: 0:10:58 time: 0.4359 data_time: 0.0191 memory: 17087 grad_norm: 7.2000 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8584 loss: 0.8584 2022/08/05 20:17:46 - mmengine - INFO - Epoch(train) [256][380/1879] lr: 1.0000e-04 eta: 0:10:49 time: 0.4553 data_time: 0.0154 memory: 17087 grad_norm: 7.3482 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8314 loss: 0.8314 2022/08/05 20:17:54 - mmengine - INFO - Epoch(train) [256][400/1879] lr: 1.0000e-04 eta: 0:10:41 time: 0.4335 data_time: 0.0178 memory: 17087 grad_norm: 7.1479 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6526 loss: 0.6526 2022/08/05 20:18:03 - mmengine - INFO - Epoch(train) [256][420/1879] lr: 1.0000e-04 eta: 0:10:32 time: 0.4320 data_time: 0.0139 memory: 17087 grad_norm: 7.3604 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8482 loss: 0.8482 2022/08/05 20:18:12 - mmengine - INFO - Epoch(train) [256][440/1879] lr: 1.0000e-04 eta: 0:10:23 time: 0.4405 data_time: 0.0228 memory: 17087 grad_norm: 7.2307 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7326 loss: 0.7326 2022/08/05 20:18:20 - mmengine - INFO - Epoch(train) [256][460/1879] lr: 1.0000e-04 eta: 0:10:15 time: 0.4303 data_time: 0.0149 memory: 17087 grad_norm: 7.3346 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8021 loss: 0.8021 2022/08/05 20:18:30 - mmengine - INFO - Epoch(train) [256][480/1879] lr: 1.0000e-04 eta: 0:10:06 time: 0.4648 data_time: 0.0179 memory: 17087 grad_norm: 7.6287 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7548 loss: 0.7548 2022/08/05 20:18:39 - mmengine - INFO - Epoch(train) [256][500/1879] lr: 1.0000e-04 eta: 0:09:57 time: 0.4345 data_time: 0.0156 memory: 17087 grad_norm: 7.4053 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 1.0405 loss: 1.0405 2022/08/05 20:18:47 - mmengine - INFO - Epoch(train) [256][520/1879] lr: 1.0000e-04 eta: 0:09:49 time: 0.4434 data_time: 0.0222 memory: 17087 grad_norm: 7.1202 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7696 loss: 0.7696 2022/08/05 20:18:56 - mmengine - INFO - Epoch(train) [256][540/1879] lr: 1.0000e-04 eta: 0:09:40 time: 0.4300 data_time: 0.0147 memory: 17087 grad_norm: 7.1698 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7790 loss: 0.7790 2022/08/05 20:19:05 - mmengine - INFO - Epoch(train) [256][560/1879] lr: 1.0000e-04 eta: 0:09:31 time: 0.4329 data_time: 0.0164 memory: 17087 grad_norm: 7.4123 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.8574 loss: 0.8574 2022/08/05 20:19:13 - mmengine - INFO - Epoch(train) [256][580/1879] lr: 1.0000e-04 eta: 0:09:23 time: 0.4346 data_time: 0.0186 memory: 17087 grad_norm: 7.0235 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.6672 loss: 0.6672 2022/08/05 20:19:22 - mmengine - INFO - Epoch(train) [256][600/1879] lr: 1.0000e-04 eta: 0:09:14 time: 0.4333 data_time: 0.0170 memory: 17087 grad_norm: 7.6395 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.6769 loss: 0.6769 2022/08/05 20:19:31 - mmengine - INFO - Epoch(train) [256][620/1879] lr: 1.0000e-04 eta: 0:09:05 time: 0.4472 data_time: 0.0154 memory: 17087 grad_norm: 7.3688 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8177 loss: 0.8177 2022/08/05 20:19:40 - mmengine - INFO - Epoch(train) [256][640/1879] lr: 1.0000e-04 eta: 0:08:57 time: 0.4330 data_time: 0.0171 memory: 17087 grad_norm: 7.4681 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.7891 loss: 0.7891 2022/08/05 20:19:48 - mmengine - INFO - Epoch(train) [256][660/1879] lr: 1.0000e-04 eta: 0:08:48 time: 0.4374 data_time: 0.0210 memory: 17087 grad_norm: 7.3941 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8390 loss: 0.8390 2022/08/05 20:19:57 - mmengine - INFO - Epoch(train) [256][680/1879] lr: 1.0000e-04 eta: 0:08:39 time: 0.4335 data_time: 0.0182 memory: 17087 grad_norm: 6.9973 top1_acc: 0.7500 top5_acc: 1.0000 loss_cls: 0.7756 loss: 0.7756 2022/08/05 20:20:06 - mmengine - INFO - Epoch(train) [256][700/1879] lr: 1.0000e-04 eta: 0:08:31 time: 0.4407 data_time: 0.0170 memory: 17087 grad_norm: 7.2026 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.8516 loss: 0.8516 2022/08/05 20:20:15 - mmengine - INFO - Epoch(train) [256][720/1879] lr: 1.0000e-04 eta: 0:08:22 time: 0.4319 data_time: 0.0171 memory: 17087 grad_norm: 7.4218 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7528 loss: 0.7528 2022/08/05 20:20:23 - mmengine - INFO - Epoch(train) [256][740/1879] lr: 1.0000e-04 eta: 0:08:13 time: 0.4313 data_time: 0.0150 memory: 17087 grad_norm: 7.1431 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.8546 loss: 0.8546 2022/08/05 20:20:32 - mmengine - INFO - Epoch(train) [256][760/1879] lr: 1.0000e-04 eta: 0:08:05 time: 0.4515 data_time: 0.0198 memory: 17087 grad_norm: 7.2097 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6994 loss: 0.6994 2022/08/05 20:20:41 - mmengine - INFO - Epoch(train) [256][780/1879] lr: 1.0000e-04 eta: 0:07:56 time: 0.4349 data_time: 0.0133 memory: 17087 grad_norm: 6.9970 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.7255 loss: 0.7255 2022/08/05 20:20:50 - mmengine - INFO - Epoch(train) [256][800/1879] lr: 1.0000e-04 eta: 0:07:47 time: 0.4409 data_time: 0.0183 memory: 17087 grad_norm: 7.1758 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7229 loss: 0.7229 2022/08/05 20:20:59 - mmengine - INFO - Epoch(train) [256][820/1879] lr: 1.0000e-04 eta: 0:07:39 time: 0.4308 data_time: 0.0147 memory: 17087 grad_norm: 7.3043 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.8266 loss: 0.8266 2022/08/05 20:21:08 - mmengine - INFO - Epoch(train) [256][840/1879] lr: 1.0000e-04 eta: 0:07:30 time: 0.4784 data_time: 0.0234 memory: 17087 grad_norm: 7.2553 top1_acc: 0.6250 top5_acc: 0.9375 loss_cls: 0.8333 loss: 0.8333 2022/08/05 20:21:15 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 20:21:17 - mmengine - INFO - Epoch(train) [256][860/1879] lr: 1.0000e-04 eta: 0:07:21 time: 0.4307 data_time: 0.0145 memory: 17087 grad_norm: 7.3323 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8304 loss: 0.8304 2022/08/05 20:21:26 - mmengine - INFO - Epoch(train) [256][880/1879] lr: 1.0000e-04 eta: 0:07:13 time: 0.4441 data_time: 0.0238 memory: 17087 grad_norm: 7.3709 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.9389 loss: 0.9389 2022/08/05 20:21:34 - mmengine - INFO - Epoch(train) [256][900/1879] lr: 1.0000e-04 eta: 0:07:04 time: 0.4307 data_time: 0.0142 memory: 17087 grad_norm: 7.1978 top1_acc: 0.6875 top5_acc: 0.9375 loss_cls: 0.7104 loss: 0.7104 2022/08/05 20:21:43 - mmengine - INFO - Epoch(train) [256][920/1879] lr: 1.0000e-04 eta: 0:06:55 time: 0.4317 data_time: 0.0164 memory: 17087 grad_norm: 6.9798 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7046 loss: 0.7046 2022/08/05 20:21:52 - mmengine - INFO - Epoch(train) [256][940/1879] lr: 1.0000e-04 eta: 0:06:47 time: 0.4714 data_time: 0.0156 memory: 17087 grad_norm: 7.2408 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7622 loss: 0.7622 2022/08/05 20:22:01 - mmengine - INFO - Epoch(train) [256][960/1879] lr: 1.0000e-04 eta: 0:06:38 time: 0.4321 data_time: 0.0166 memory: 17087 grad_norm: 7.5481 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.8436 loss: 0.8436 2022/08/05 20:22:10 - mmengine - INFO - Epoch(train) [256][980/1879] lr: 1.0000e-04 eta: 0:06:29 time: 0.4471 data_time: 0.0217 memory: 17087 grad_norm: 7.2093 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.9349 loss: 0.9349 2022/08/05 20:22:19 - mmengine - INFO - Epoch(train) [256][1000/1879] lr: 1.0000e-04 eta: 0:06:21 time: 0.4329 data_time: 0.0166 memory: 17087 grad_norm: 7.2508 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.7961 loss: 0.7961 2022/08/05 20:22:28 - mmengine - INFO - Epoch(train) [256][1020/1879] lr: 1.0000e-04 eta: 0:06:12 time: 0.4734 data_time: 0.0203 memory: 17087 grad_norm: 7.3377 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.8304 loss: 0.8304 2022/08/05 20:22:37 - mmengine - INFO - Epoch(train) [256][1040/1879] lr: 1.0000e-04 eta: 0:06:03 time: 0.4326 data_time: 0.0161 memory: 17087 grad_norm: 7.7162 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.9111 loss: 0.9111 2022/08/05 20:22:46 - mmengine - INFO - Epoch(train) [256][1060/1879] lr: 1.0000e-04 eta: 0:05:55 time: 0.4558 data_time: 0.0213 memory: 17087 grad_norm: 7.1764 top1_acc: 0.6875 top5_acc: 0.7500 loss_cls: 0.6181 loss: 0.6181 2022/08/05 20:22:55 - mmengine - INFO - Epoch(train) [256][1080/1879] lr: 1.0000e-04 eta: 0:05:46 time: 0.4404 data_time: 0.0158 memory: 17087 grad_norm: 7.1359 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.7111 loss: 0.7111 2022/08/05 20:23:04 - mmengine - INFO - Epoch(train) [256][1100/1879] lr: 1.0000e-04 eta: 0:05:37 time: 0.4307 data_time: 0.0155 memory: 17087 grad_norm: 7.1783 top1_acc: 0.7500 top5_acc: 0.8125 loss_cls: 0.7054 loss: 0.7054 2022/08/05 20:23:13 - mmengine - INFO - Epoch(train) [256][1120/1879] lr: 1.0000e-04 eta: 0:05:29 time: 0.4543 data_time: 0.0188 memory: 17087 grad_norm: 7.3164 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8802 loss: 0.8802 2022/08/05 20:23:21 - mmengine - INFO - Epoch(train) [256][1140/1879] lr: 1.0000e-04 eta: 0:05:20 time: 0.4316 data_time: 0.0136 memory: 17087 grad_norm: 7.2370 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8692 loss: 0.8692 2022/08/05 20:23:30 - mmengine - INFO - Epoch(train) [256][1160/1879] lr: 1.0000e-04 eta: 0:05:11 time: 0.4334 data_time: 0.0177 memory: 17087 grad_norm: 7.2045 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8510 loss: 0.8510 2022/08/05 20:23:39 - mmengine - INFO - Epoch(train) [256][1180/1879] lr: 1.0000e-04 eta: 0:05:03 time: 0.4328 data_time: 0.0158 memory: 17087 grad_norm: 7.2627 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.8275 loss: 0.8275 2022/08/05 20:23:48 - mmengine - INFO - Epoch(train) [256][1200/1879] lr: 1.0000e-04 eta: 0:04:54 time: 0.4420 data_time: 0.0165 memory: 17087 grad_norm: 7.2281 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7631 loss: 0.7631 2022/08/05 20:23:56 - mmengine - INFO - Epoch(train) [256][1220/1879] lr: 1.0000e-04 eta: 0:04:45 time: 0.4320 data_time: 0.0170 memory: 17087 grad_norm: 7.5299 top1_acc: 0.9375 top5_acc: 1.0000 loss_cls: 0.7536 loss: 0.7536 2022/08/05 20:24:05 - mmengine - INFO - Epoch(train) [256][1240/1879] lr: 1.0000e-04 eta: 0:04:37 time: 0.4321 data_time: 0.0175 memory: 17087 grad_norm: 7.0460 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.7479 loss: 0.7479 2022/08/05 20:24:14 - mmengine - INFO - Epoch(train) [256][1260/1879] lr: 1.0000e-04 eta: 0:04:28 time: 0.4308 data_time: 0.0148 memory: 17087 grad_norm: 7.2046 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8050 loss: 0.8050 2022/08/05 20:24:22 - mmengine - INFO - Epoch(train) [256][1280/1879] lr: 1.0000e-04 eta: 0:04:19 time: 0.4389 data_time: 0.0221 memory: 17087 grad_norm: 7.2054 top1_acc: 0.7500 top5_acc: 0.8750 loss_cls: 0.9206 loss: 0.9206 2022/08/05 20:24:31 - mmengine - INFO - Epoch(train) [256][1300/1879] lr: 1.0000e-04 eta: 0:04:11 time: 0.4319 data_time: 0.0141 memory: 17087 grad_norm: 7.2111 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7284 loss: 0.7284 2022/08/05 20:24:40 - mmengine - INFO - Epoch(train) [256][1320/1879] lr: 1.0000e-04 eta: 0:04:02 time: 0.4411 data_time: 0.0192 memory: 17087 grad_norm: 7.4596 top1_acc: 0.8750 top5_acc: 0.8750 loss_cls: 0.6091 loss: 0.6091 2022/08/05 20:24:49 - mmengine - INFO - Epoch(train) [256][1340/1879] lr: 1.0000e-04 eta: 0:03:53 time: 0.4312 data_time: 0.0153 memory: 17087 grad_norm: 7.2707 top1_acc: 0.6875 top5_acc: 0.8125 loss_cls: 0.6981 loss: 0.6981 2022/08/05 20:24:58 - mmengine - INFO - Epoch(train) [256][1360/1879] lr: 1.0000e-04 eta: 0:03:45 time: 0.4641 data_time: 0.0229 memory: 17087 grad_norm: 7.1007 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.7694 loss: 0.7694 2022/08/05 20:25:06 - mmengine - INFO - Epoch(train) [256][1380/1879] lr: 1.0000e-04 eta: 0:03:36 time: 0.4316 data_time: 0.0152 memory: 17087 grad_norm: 7.2185 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.7460 loss: 0.7460 2022/08/05 20:25:15 - mmengine - INFO - Epoch(train) [256][1400/1879] lr: 1.0000e-04 eta: 0:03:27 time: 0.4340 data_time: 0.0165 memory: 17087 grad_norm: 7.4777 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 0.8770 loss: 0.8770 2022/08/05 20:25:24 - mmengine - INFO - Epoch(train) [256][1420/1879] lr: 1.0000e-04 eta: 0:03:19 time: 0.4370 data_time: 0.0163 memory: 17087 grad_norm: 7.1981 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8642 loss: 0.8642 2022/08/05 20:25:33 - mmengine - INFO - Epoch(train) [256][1440/1879] lr: 1.0000e-04 eta: 0:03:10 time: 0.4341 data_time: 0.0160 memory: 17087 grad_norm: 7.1516 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8839 loss: 0.8839 2022/08/05 20:25:41 - mmengine - INFO - Epoch(train) [256][1460/1879] lr: 1.0000e-04 eta: 0:03:01 time: 0.4376 data_time: 0.0179 memory: 17087 grad_norm: 7.1512 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8727 loss: 0.8727 2022/08/05 20:25:50 - mmengine - INFO - Epoch(train) [256][1480/1879] lr: 1.0000e-04 eta: 0:02:53 time: 0.4329 data_time: 0.0164 memory: 17087 grad_norm: 7.3622 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.8537 loss: 0.8537 2022/08/05 20:25:59 - mmengine - INFO - Epoch(train) [256][1500/1879] lr: 1.0000e-04 eta: 0:02:44 time: 0.4371 data_time: 0.0169 memory: 17087 grad_norm: 7.4411 top1_acc: 0.8750 top5_acc: 1.0000 loss_cls: 0.6360 loss: 0.6360 2022/08/05 20:26:08 - mmengine - INFO - Epoch(train) [256][1520/1879] lr: 1.0000e-04 eta: 0:02:35 time: 0.4334 data_time: 0.0171 memory: 17087 grad_norm: 7.2137 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8034 loss: 0.8034 2022/08/05 20:26:16 - mmengine - INFO - Epoch(train) [256][1540/1879] lr: 1.0000e-04 eta: 0:02:26 time: 0.4407 data_time: 0.0181 memory: 17087 grad_norm: 7.4673 top1_acc: 0.6250 top5_acc: 0.8750 loss_cls: 0.9701 loss: 0.9701 2022/08/05 20:26:25 - mmengine - INFO - Epoch(train) [256][1560/1879] lr: 1.0000e-04 eta: 0:02:18 time: 0.4312 data_time: 0.0160 memory: 17087 grad_norm: 7.4301 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7789 loss: 0.7789 2022/08/05 20:26:34 - mmengine - INFO - Epoch(train) [256][1580/1879] lr: 1.0000e-04 eta: 0:02:09 time: 0.4357 data_time: 0.0160 memory: 17087 grad_norm: 7.0491 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.9499 loss: 0.9499 2022/08/05 20:26:42 - mmengine - INFO - Epoch(train) [256][1600/1879] lr: 1.0000e-04 eta: 0:02:00 time: 0.4321 data_time: 0.0163 memory: 17087 grad_norm: 7.3796 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.9166 loss: 0.9166 2022/08/05 20:26:51 - mmengine - INFO - Epoch(train) [256][1620/1879] lr: 1.0000e-04 eta: 0:01:52 time: 0.4426 data_time: 0.0162 memory: 17087 grad_norm: 7.2539 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7976 loss: 0.7976 2022/08/05 20:27:00 - mmengine - INFO - Epoch(train) [256][1640/1879] lr: 1.0000e-04 eta: 0:01:43 time: 0.4386 data_time: 0.0173 memory: 17087 grad_norm: 7.0106 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.8439 loss: 0.8439 2022/08/05 20:27:09 - mmengine - INFO - Epoch(train) [256][1660/1879] lr: 1.0000e-04 eta: 0:01:34 time: 0.4432 data_time: 0.0158 memory: 17087 grad_norm: 7.3509 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.7531 loss: 0.7531 2022/08/05 20:27:18 - mmengine - INFO - Epoch(train) [256][1680/1879] lr: 1.0000e-04 eta: 0:01:26 time: 0.4363 data_time: 0.0187 memory: 17087 grad_norm: 7.2716 top1_acc: 0.8125 top5_acc: 0.8750 loss_cls: 0.8556 loss: 0.8556 2022/08/05 20:27:26 - mmengine - INFO - Epoch(train) [256][1700/1879] lr: 1.0000e-04 eta: 0:01:17 time: 0.4346 data_time: 0.0175 memory: 17087 grad_norm: 7.2716 top1_acc: 0.7500 top5_acc: 0.9375 loss_cls: 0.8972 loss: 0.8972 2022/08/05 20:27:35 - mmengine - INFO - Epoch(train) [256][1720/1879] lr: 1.0000e-04 eta: 0:01:08 time: 0.4335 data_time: 0.0175 memory: 17087 grad_norm: 7.2426 top1_acc: 0.8125 top5_acc: 0.8125 loss_cls: 0.9696 loss: 0.9696 2022/08/05 20:27:44 - mmengine - INFO - Epoch(train) [256][1740/1879] lr: 1.0000e-04 eta: 0:01:00 time: 0.4648 data_time: 0.0165 memory: 17087 grad_norm: 7.3712 top1_acc: 0.8750 top5_acc: 0.9375 loss_cls: 0.8672 loss: 0.8672 2022/08/05 20:27:53 - mmengine - INFO - Epoch(train) [256][1760/1879] lr: 1.0000e-04 eta: 0:00:51 time: 0.4320 data_time: 0.0167 memory: 17087 grad_norm: 7.1359 top1_acc: 0.8125 top5_acc: 1.0000 loss_cls: 0.7737 loss: 0.7737 2022/08/05 20:28:03 - mmengine - INFO - Epoch(train) [256][1780/1879] lr: 1.0000e-04 eta: 0:00:42 time: 0.4710 data_time: 0.0216 memory: 17087 grad_norm: 7.0798 top1_acc: 0.8125 top5_acc: 0.9375 loss_cls: 0.6978 loss: 0.6978 2022/08/05 20:28:11 - mmengine - INFO - Epoch(train) [256][1800/1879] lr: 1.0000e-04 eta: 0:00:34 time: 0.4333 data_time: 0.0174 memory: 17087 grad_norm: 7.1115 top1_acc: 0.6875 top5_acc: 0.8750 loss_cls: 0.8676 loss: 0.8676 2022/08/05 20:28:20 - mmengine - INFO - Epoch(train) [256][1820/1879] lr: 1.0000e-04 eta: 0:00:25 time: 0.4530 data_time: 0.0254 memory: 17087 grad_norm: 7.5660 top1_acc: 0.6250 top5_acc: 0.7500 loss_cls: 1.0111 loss: 1.0111 2022/08/05 20:28:29 - mmengine - INFO - Epoch(train) [256][1840/1879] lr: 1.0000e-04 eta: 0:00:16 time: 0.4319 data_time: 0.0176 memory: 17087 grad_norm: 7.2574 top1_acc: 0.6250 top5_acc: 0.8125 loss_cls: 0.7072 loss: 0.7072 2022/08/05 20:28:36 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 20:28:38 - mmengine - INFO - Epoch(train) [256][1860/1879] lr: 1.0000e-04 eta: 0:00:08 time: 0.4638 data_time: 0.0210 memory: 17087 grad_norm: 7.4575 top1_acc: 0.9375 top5_acc: 0.9375 loss_cls: 0.8857 loss: 0.8857 2022/08/05 20:28:46 - mmengine - INFO - Exp name: slowonly_nl_embedded_gaussian_r50_8x8x1_150e_kinetics400_rgb_20220803_090521 2022/08/05 20:28:46 - mmengine - INFO - Epoch(train) [256][1879/1879] lr: 1.0000e-04 eta: 0:00:08 time: 0.4264 data_time: 0.0157 memory: 17087 grad_norm: 7.5590 top1_acc: 1.0000 top5_acc: 1.0000 loss_cls: 0.8951 loss: 0.8951 2022/08/05 20:28:46 - mmengine - INFO - Saving checkpoint at 256 epochs